diff --git "a/MMTab-instruct_sft_data_llava_format_232K_md.json" "b/MMTab-instruct_sft_data_llava_format_232K_md.json" new file mode 100644--- /dev/null +++ "b/MMTab-instruct_sft_data_llava_format_232K_md.json" @@ -0,0 +1,41758 @@ +[ + { + "id": "table_recognition_train_item_61650", + "image": "table_instructV/images/TabFact_2-1123421-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| driver | constructor | laps | time / retired | grid |\n| --- | --- | --- | --- | --- |\n| ralf schumacher | williams - bmw | 69 | 1:34:31.522 | 2 |\n| michael schumacher | ferrari | 69 | + 20.235 | 1 |\n| mika häkkinen | mclaren - mercedes | 69 | + 40.672 | 8 |\n| kimi räikkönen | sauber - petronas | 69 | + 1:08.116 | 7 |\n| jean alesi | prost - acer | 69 | + 1:10.435 | 16 |\n| pedro de la rosa | jaguar - cosworth | 68 | + 1 lap | 14 |\n| ricardo zonta | jordan - honda | 68 | + 1 lap | 12 |\n| luciano burti | prost - acer | 68 | + 1 lap | 19 |\n| tarso marques | minardi - european | 66 | + 3 laps | 21 |\n| jos verstappen | arrows - asiatech | 65 | brakes | 13 |\n| jarno trulli | jordan - honda | 63 | brakes | 4 |\n| david coulthard | mclaren - mercedes | 54 | engine | 3 |\n| olivier panis | bar - honda | 38 | brakes | 6 |\n| jacques villeneuve | bar - honda | 34 | driveshaft | 9 |\n| enrique bernoldi | arrows - asiatech | 24 | engine | 17 |\n| juan pablo montoya | williams - bmw | 19 | accident | 10 |\n| rubens barrichello | ferrari | 19 | spun off | 5 |\n| jenson button | benetton - renault | 17 | oil leak | 20 |\n| fernando alonso | minardi - european | 7 | transmission | 22 |\n| nick heidfeld | sauber - petronas | 1 | collision | 11 |\n| eddie irvine | jaguar - cosworth | 1 | collision | 15 |\n| giancarlo fisichella | benetton - renault | 0 | collision | 18 |" + } + ] + }, + { + "id": "table_recognition_train_item_34534", + "image": "table_instructV/images/TABMWP_5757.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 4 | 20 |\n| 5 | 17 |\n| 6 | 14 |" + } + ] + }, + { + "id": "table_recognition_train_item_105943", + "image": "table_instructV/images/ToTTo_train_table_24949.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| # | Event Title | Date | Arena | Location |\n| --- | --- | --- | --- | --- |\n| 55 | Rings: King of Kings 2000 Block B | December 22, 2000 | Osaka Prefecture Gymnasium | Osaka, Japan |\n| 54 | Rings Australia: Free Fight Battle | November 12, 2000 | Alexandra Hills Hotel | Brisbane, Australia |\n| 53 | Rings Lithuania: Bushido Rings 1 | October 24, 2000 | Vilnius Palace of Concerts and Sports | Vilnius, Lithuania |\n| 52 | Rings: King of Kings 2000 Block A | October 9, 2000 | Yoyogi National Stadium Gym 2 | Tokyo, Japan |\n| 51 | Rings USA: Rising Stars Final | September 30, 2000 | The Mark of the Quad Cities | Moline, Illinois |\n| 50 | Rings: Battle Genesis Vol. 6 | September 5, 2000 | Korakuen Hall | Tokyo, Japan |\n| 49 | Rings: Millennium Combine 3 | August 23, 2000 | Osaka Prefecture Gymnasium | |\n| 48 | Rings: Russia vs. Georgia | August 16, 2000 | Tula Circus | Tula, Russia |\n| 47 | Rings USA: Rising Stars Block B | July 22, 2000 | Neal S. Blaisdell Center | Honolulu, Hawaii |\n| 46 | Rings USA: Rising Stars Block A | July 15, 2000 | McKay-Dee Hospital Center | Orem, Utah |\n| 45 | Rings: Millennium Combine 2 | June 15, 2000 | Yoyogi National Stadium Gym 2 | Tokyo, Japan |\n| 44 | Rings Holland: Di Capo Di Tutti Capi | June 4, 2000 | Vechtsebanen Sport Hall | Utrecht, Netherlands |\n| 43 | Rings Russia: Russia vs. Bulgaria | May 21, 2000 | | Tula, Russia |\n| 42 | Rings Russia: Russia vs. The World | May 20, 2000 | Yekaterinburg Sports Palace | Yekaterinburg, Sverdlovsk Oblast, Russia |\n| 41 | Rings: Millennium Combine 1 | April 20, 2000 | Yoyogi National Stadium Gym 2 | Tokyo, Japan |\n| 40 | Rings Australia: NR 4 | March 19, 2000 | Alexandra Hills Hotel | Brisbane, Australia |\n| 39 | Rings: King of Kings 1999 Final | February 26, 2000 | Nippon Budokan | Tokyo, Japan |\n| 38 | Rings Holland: There Can Only Be One Champion | February 6, 2000 | Vechtsebanen Sport Hall | Utrecht, Netherlands |" + } + ] + }, + { + "id": "table_recognition_train_item_69902", + "image": "table_instructV/images/TabFact_2-1359996-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| season | network | time slot | season premiere | season finale | episode count | tv season | season rank | viewers (in millions) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | nbc | monday 10:00 pm | january 3 , 2005 | may 23 , 2005 | 16 | 2004 - 2005 | 19 | 13.9 |\n| 2 | nbc | monday 10:00 pm | september 19 , 2005 | may 22 , 2006 | 22 | 2005 - 2006 | 31 | 11.2 |\n| 3 | nbc | wednesday 10:00 pm | november 15 , 2006 | may 16 , 2007 | 22 | 2006 - 2007 | 51 | 8.3 |\n| 4 | nbc | monday 10:00 pm | january 7 , 2008 | may 12 , 2008 | 16 | 2007 - 2008 | 41 | 10.47 |\n| 5 | nbc | monday 10:00 pm | february 2 , 2009 | june 1 , 2009 | 19 | 2008 - 2009 | 61 | 8.45 |\n| 6 | cbs | friday 9:00 pm | september 25 , 2009 | may 21 , 2010 | 22 | 2009 - 2010 | 53 | 7.79 |\n| 7 | cbs | friday 8:00 pm | september 24 , 2010 | january 21 , 2011 | 13 | 2010 - 2011 | 57 | 7.8 |" + } + ] + }, + { + "id": "table_recognition_train_item_33593", + "image": "table_instructV/images/TABMWP_30764.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 3 | 0 |\n| 17 | 13 |\n| 9 | 6 |" + } + ] + }, + { + "id": "table_recognition_train_item_33321", + "image": "table_instructV/images/TABMWP_28269.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 5 | 18 |\n| 6 | 16 |\n| 7 | 14 |" + } + ] + }, + { + "id": "table_recognition_train_item_66336", + "image": "table_instructV/images/TabFact_2-1123529-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| driver | constructor | laps | time / retired | grid |\n| --- | --- | --- | --- | --- |\n| michael schumacher | ferrari | 70 | 1:31:13.591 | 3 |\n| ralf schumacher | williams - bmw | 70 | + 0.784 | 1 |\n| juan pablo montoya | williams - bmw | 70 | + 1.355 | 2 |\n| fernando alonso | renault | 70 | + 4.481 | 4 |\n| rubens barrichello | ferrari | 70 | + 1:04.261 | 5 |\n| kimi räikkönen | mclaren - mercedes | 70 | + 1:10.502 | 20 |\n| mark webber | jaguar - cosworth | 69 | + 1 lap | 6 |\n| olivier panis | toyota | 69 | + 1 lap | 7 |\n| jos verstappen | minardi - cosworth | 68 | + 2 laps | 15 |\n| antônio pizzonia | jaguar - cosworth | 64 | brakes | 13 |\n| cristiano da matta | toyota | 64 | suspension | 9 |\n| justin wilson | minardi - cosworth | 60 | gearbox | 18 |\n| jenson button | bar - honda | 51 | gearbox | 17 |\n| david coulthard | mclaren - mercedes | 47 | gearbox | 11 |\n| nick heidfeld | sauber - petronas | 47 | engine | 12 |\n| jarno trulli | renault | 22 | collision damage | 8 |\n| giancarlo fisichella | jordan - ford | 20 | gearbox | 16 |\n| ralph firman | jordan - ford | 20 | engine | 19 |\n| jacques villeneuve | bar - honda | 14 | brakes | 14 |\n| heinz - harald frentzen | sauber - petronas | 6 | electronics | 10 |" + } + ] + }, + { + "id": "table_recognition_train_item_48540", + "image": "table_instructV/images/TAT-QA_df4ae058-a568-403b-9a27-b4393d86dfda.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| | | For the Years Ended December 31, | | |\n| --- | --- | --- | --- | --- |\n| | 2019 | 2018 | Increase/ (decrease) | % Change |\n| Net revenues by distribution channel: | | | | |\n| Digital online channels (1) | $4,932 | $5,786 | $(854) | (15)% |\n| Retail channels | 909 | 1,107 | (198) | (18) |\n| Other (2) | 648 | 607 | 41 | 7 |\n| Total consolidated net revenues | $6,489 | $7,500 | $(1,011) | (13) |" + } + ] + }, + { + "id": "table_recognition_train_item_35194", + "image": "table_instructV/images/TABMWP_25958.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| Number of bushes | Number of roses |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_70130", + "image": "table_instructV/images/TabFact_2-16780132-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | september 3 , 2000 | cleveland browns | w 27 - 7 | 72418 |\n| 2 | september 10 , 2000 | baltimore ravens | l 39 - 36 | 68843 |\n| 3 | september 17 , 2000 | cincinnati bengals | w 13 - 0 | 45653 |\n| 4 | september 25 , 2000 | indianapolis colts | l 43 - 14 | 56816 |\n| 5 | october 1 , 2000 | pittsburgh steelers | l 24 - 13 | 64351 |\n| 6 | october 8 , 2000 | baltimore ravens | l 15 - 10 | 65194 |\n| 7 | october 16 , 2000 | tennessee titans | l 27 - 13 | 68498 |\n| 8 | october 22 , 2000 | washington redskins | l 35 - 16 | 69061 |\n| 9 | october 29 , 2000 | dallas cowboys | w 23 - 17 (ot) | 63554 |\n| 11 | november 12 , 2000 | seattle seahawks | l 28 - 21 | 68063 |\n| 12 | november 19 , 2000 | pittsburgh steelers | w 34 - 24 | 50925 |\n| 13 | november 26 , 2000 | tennessee titans | w 16 - 13 | 65454 |\n| 14 | december 3 , 2000 | cleveland browns | w 48 - 0 | 51262 |\n| 15 | december 10 , 2000 | arizona cardinals | w 44 - 10 | 53472 |\n| 16 | december 17 , 2000 | cincinnati bengals | l 17 - 14 | 50469 |\n| 17 | december 23 , 2000 | new york giants | l 28 - 25 | 77924 |" + } + ] + }, + { + "id": "table_recognition_train_item_66272", + "image": "table_instructV/images/TabFact_2-17405932-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| order | episode | rating | share | rating / share (1849) | viewers (millions) | rank (night) | rank (timeslot) | rank (week) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 & 2 | goliath | 3.9 | 6 | 1.6 / 4 | 6.07 | 9 | 3 | 55 |\n| 3 | prosperity | 2.9 | 5 | 1.3 / 2 | 4.60 | 13 | 4 | 67 |\n| 4 | first night | 3.0 | 5 | 1.9 / 3 | 4.51 | 13 | 5 | 61 |\n| 5 | insurrection | 2.5 | 4 | 1.1 / 3 | 3.61 | 13 | 4 | 59 |\n| 6 | judgment day | 1.5 | 3 | 0.6 / 2 | 2.41 | 7 | 4 | 64 |\n| 7 | brotherhood | 0.9 | 2 | 0.3 / 1 | 1.59 | 10 | 4 | 39 |\n| 8 | the sabbath queen | 1.2 | 3 | 0.5 / 2 | 1.94 | 11 | 4 | 28 |\n| 9 | pilgrimage | 1.0 | 3 | 0.4 / 2 | 1.54 | 11 | 4 | 41 |\n| 10 | chapter one | 1.1 | 3 | 0.3 / 1 | 1.30 | 10 | 4 | 34 |\n| 11 | javelin | 1.2 | 2 | 0.4 / 2 | 1.64 | 11 | 4 | 36 |\n| 12 | the new king (part 1) | 1.0 | 2 | 0.4 / 2 | 1.57 | 11 | 4 | 38 |\n| 13 | the new king (part 2) | 1.3 | 3 | 0.4 / 2 | 1.80 | 10 | 3 | 38 |" + } + ] + }, + { + "id": "table_recognition_train_item_67612", + "image": "table_instructV/images/TabFact_2-14230578-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| event | 2006 - 07 | 2007 - 08 | 2008 - 09 | 2009 - 10 | 2010 - 11 | 2012 - 13 |\n| --- | --- | --- | --- | --- | --- | --- |\n| autumn gold | q | qf | q | qf | q | q |\n| manitoba liquor & lotteries | q | q | q | qf | q | q |\n| colonial square | n / a | n / a | n / a | n / a | n / a | r16 |\n| masters | n / a | n / a | n / a | n / a | n / a | q |\n| players' | dnp | c | q | dnp | dnp | dnp |" + } + ] + }, + { + "id": "table_recognition_train_item_60496", + "image": "table_instructV/images/TabFact_2-12586867-9.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| status | name | first performance | last performance | style |\n| --- | --- | --- | --- | --- |\n| original cast | kiril kulish | 1 october 2008 | 3 october 2009 | ballet |\n| original cast | david álvarez | 2 october 2008 | 3 january 2010 | ballet |\n| original cast | trent kowalik | 8 october 2008 | 7 march 2010 | ballet / irish step |\n| past | tommy batchelor | 10 february 2009 | 11 december 2009 | ballet |\n| past | alex ko | 6 october 2009 | 15 may 2011 | ballet / gymnastics |\n| past | liam redhead | 23 december 2009 | 29 august 2010 | ballet |\n| past | michael dameski | 31 january 2010 | 5 september 2010 | ballet |\n| past | kevin geraghty | 19 december 2009 | 12 june 2011 | ballet / street |\n| past | jacob clemente | 3 april 2010 | 3 july 2011 | ballet / tap |\n| past | giuseppe bausilio | 3 july 2011 | 6 november 2011 | ballet |\n| past | myles erlick | 24 september 2011 | 13 november 2011 | ballet |\n| final cast | peter mazurowski | 29 august 2010 | 8 january 2012 | ballet |\n| final cast | joseph ryan harrington | 24 october 2010 | 8 january 2012 | ballet |\n| final cast | tade biesinger | 17 may 2011 | 8 january 2012 | ballet |\n| final cast | julian elia | 12 november 2011 | 8 january 2012 | ballet |" + } + ] + }, + { + "id": "table_recognition_train_item_65738", + "image": "table_instructV/images/TabFact_2-16651598-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| driver | team | laps | time / retired | grid | points |\n| --- | --- | --- | --- | --- | --- |\n| sébastien bourdais | newman / haas racing | 84 | 1:45:36.930 | 1 | 34 |\n| jimmy vasser | pkv racing | 84 | + 1.396 secs | 11 | 28 |\n| patrick carpentier | forsythe racing | 84 | + 6.731 secs | 6 | 25 |\n| mario haberfeld | walker racing | 84 | + 7.892 secs | 14 | 24 |\n| paul tracy | forsythe racing | 84 | + 9.665 secs | 2 | 23 |\n| gastón mazzacane | dale coyne racing | 84 | + 14.002 secs | 16 | 19 |\n| alex tagliani | rocketsports racing | 84 | + 28.444 secs | 9 | 17 |\n| ryan hunter - reay | herdez competition | 84 | + 43.175 secs | 7 | 15 |\n| oriol servià | dale coyne racing | 83 | + 1 lap | 10 | 13 |\n| alex sperafico | mi - jack conquest racing | 83 | + 1 lap | 17 | 11 |\n| a j allmendinger | rusport | 82 | + 2 laps | 8 | 10 |\n| justin wilson | mi - jack conquest racing | 81 | + 3 laps | 5 | 9 |\n| roberto gonzález | pkv racing | 80 | contact | 15 | 8 |\n| rodolfo lavín | forsythe racing | 78 | stalled | 13 | 7 |\n| michel jourdain , jr | rusport | 73 | contact | 12 | 6 |\n| memo gidley | rocketsports racing | 36 | contact | 18 | 5 |\n| mario domínguez | herdez competition | 0 | contact | 4 | 4 |\n| bruno junqueira | newman / haas racing | 0 | contact | 3 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_112753", + "image": "table_instructV/images/Rotowire_train_table_719.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hawks | Atlanta | 83 | 23 | 22 | 21 | 17 | 21 | 49 | 22 | 42 | 50 | 44 | 27 | 20 | | | | |\n| Clippers | LA | 85 | 17 | 26 | 21 | 21 | 18 | 46 | 11 | 39 | 67 | 19 | 30 | 16 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hawks | | | | | | | | | | | | | | | | | | |\n| Jeff Teague | 31 | 16 | 3 | 2 | 7-10 | 70% | 2-2 | 100% | 0-0 | 0% | 2 | 5 | 0 | 0 | 3 | 2 | G | Atlanta |\n| Al Horford | 36 | 15 | 8 | 6 | 6-13 | 46% | 1-5 | 20% | 2-5 | 40% | 1 | 2 | 0 | 2 | 6 | 2 | C | Atlanta |\n| Paul Millsap | 34 | 14 | 12 | 4 | 6-14 | 43% | 1-2 | 50% | 1-3 | 33% | 1 | 2 | 2 | 4 | 8 | 2 | F | Atlanta |\n| Kyle Korver | 32 | 14 | 3 | 3 | 4-6 | 67% | 4-4 | 100% | 2-2 | 100% | 0 | 1 | 1 | 0 | 3 | 2 | G | Atlanta |\n| Kent Bazemore | 31 | 12 | 5 | 2 | 5-15 | 33% | 1-4 | 25% | 1-2 | 50% | 1 | 5 | 0 | 0 | 5 | 4 | F | Atlanta |\n| Dennis Schroder | 17 | 7 | 4 | 3 | 3-9 | 33% | 1-2 | 50% | 0-0 | 0% | 0 | 4 | 0 | 0 | 4 | 1 | N/A | Atlanta |\n| Tiago Splitter | 12 | 2 | 3 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 0 | N/A | Atlanta |\n| Thabo Sefolosha | 24 | 2 | 4 | 0 | 1-6 | 17% | 0-2 | 0% | 0-0 | 0% | 1 | 3 | 0 | 0 | 4 | 3 | N/A | Atlanta |\n| Mike Scott | 15 | 1 | 5 | 1 | 0-2 | 0% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 0 | 1 | 4 | 1 | N/A | Atlanta |\n| Tim Hardaway Jr. | 9 | 0 | 2 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Atlanta |\n| Mike Muscala | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Lamar Patterson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Shelvin Mack | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Clippers | | | | | | | | | | | | | | | | | | |\n| Jamal Crawford | 29 | 21 | 1 | 2 | 9-16 | 56% | 1-2 | 50% | 2-2 | 100% | 1 | 2 | 0 | 0 | 1 | 1 | N/A | LA |\n| DeAndre Jordan | 34 | 13 | 19 | 0 | 3-5 | 60% | 0-0 | 0% | 7-12 | 58% | 0 | 1 | 1 | 4 | 15 | 1 | C | LA |\n| JJ Redick | 26 | 12 | 0 | 0 | 4-10 | 40% | 2-6 | 33% | 2-2 | 100% | 1 | 0 | 0 | 0 | 0 | 2 | G | LA |\n| Chris Paul | 33 | 11 | 4 | 10 | 5-15 | 33% | 0-4 | 0% | 1-1 | 100% | 3 | 2 | 0 | 0 | 4 | 1 | G | LA |\n| Austin Rivers | 20 | 8 | 4 | 1 | 4-9 | 44% | 0-2 | 0% | 0-0 | 0% | 2 | 0 | 0 | 0 | 4 | 1 | N/A | LA |\n| Wesley Johnson | 28 | 7 | 6 | 0 | 3-12 | 25% | 1-8 | 13% | 0-0 | 0% | 6 | 2 | 1 | 0 | 6 | 2 | N/A | LA |\n| Paul Pierce | 15 | 5 | 2 | 1 | 2-7 | 29% | 1-4 | 25% | 0-0 | 0% | 0 | 1 | 1 | 0 | 2 | 1 | F | LA |\n| Luc Mbah a Moute | 26 | 5 | 5 | 1 | 2-6 | 33% | 0-0 | 0% | 1-2 | 50% | 2 | 2 | 0 | 3 | 2 | 1 | F | LA |\n| Cole Aldrich | 14 | 3 | 4 | 1 | 1-4 | 25% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 2 | 2 | 2 | 2 | N/A | LA |\n| Pablo Prigioni | 15 | 0 | 1 | 2 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 2 | N/A | LA |\n| Lance Stephenson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |\n| Jeff Ayres | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |\n| CJ Wilcox | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |" + } + ] + }, + { + "id": "table_recognition_train_item_32168", + "image": "table_instructV/images/TABMWP_14996.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 4 | 17 |\n| 5 | 13 |\n| 6 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_61584", + "image": "table_instructV/images/TabFact_2-1430940-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| year | award | nominated work | category | result |\n| --- | --- | --- | --- | --- |\n| 2004 | academy awards | maria full of grace | best actress | nominated |\n| 2004 | screen actors guild awards | maria full of grace | best actress | nominated |\n| 2004 | independent spirit awards | maria full of grace | best female lead | won |\n| 2004 | chicago film critics association | maria full of grace | most promising performer | won |\n| 2004 | colombian cinema award | maria full of grace | best actress | won |\n| 2004 | gotham awards | maria full of grace | breakthrough performance | won |\n| 2004 | imagen foundation awards | maria full of grace | best actress - film | won |\n| 2004 | los angeles film critics association awards | maria full of grace | award for new generation | won |\n| 2004 | online film critics society awards | maria full of grace | best breakthrough performance | won |\n| 2004 | premios ace | maria full of grace | best actress | won |\n| 2004 | seattle international film festival | maria full of grace | best actress | won |\n| 2004 | showest award | maria full of grace | international star of the year | won |\n| 2004 | berlin international film festival | maria full of grace | best actress | won |\n| 2004 | broadcast film critics association | maria full of grace | best actress | nominated |\n| 2004 | chlotrudis awards | maria full of grace | best actress | nominated |\n| 2004 | satellite awards | maria full of grace | best actress in a motion picture , drama | nominated |\n| 2005 | london critics circle film awards | maria full of grace | actress of the year | nominated |" + } + ] + }, + { + "id": "table_recognition_train_item_100151", + "image": "table_instructV/images/ToTTo_train_table_624.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| England | v | Australia |\n| --- | --- | --- |\n| 321 (118.4 overs) RA Smith 86 (113) MG Hughes 5/92 [31] | | 373 (108.3 overs) DC Boon 101 (177) MJ McCague 4/121 [32.3] |\n| 422/6d (155 overs) GA Gooch 120 (265) SK Warne 3/108 [50] | | 202/6 (76 overs) BP Julian 56* (103) AR Caddick 3/32 [16] |" + } + ] + }, + { + "id": "table_recognition_train_item_51054", + "image": "table_instructV/images/TAT-QA_57ed5d84-1074-4988-ab33-966aecadbb72.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| | 2019 | | | 2018 | | 2018 |\n| --- | --- | --- | --- | --- | --- | --- |\n| | Loss £m | Shares million | Loss per share pence | Loss £m | Shares million | Loss per Share pence |\n| Basic1 | (1950.9) | 1,344.5 | (145.1)p | (1,132.2) | 1,343.7 | (84.3)p |\n| Diluted2 | (1950.9) | 1,344.5 | (145.1)p | (1,132.2) | 1,343.7 | (84.3)p |" + } + ] + }, + { + "id": "table_recognition_train_item_113935", + "image": "table_instructV/images/Rotowire_train_table_1310.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Suns | Phoenix | 120 | 34 | 30 | 29 | 27 | 27 | 41 | 16 | 51 | 81 | 52 | 10 | 6 | | | | |\n| Nuggets | Denver | 112 | 30 | 34 | 22 | 26 | 19 | 47 | 17 | 43 | 77 | 32 | 7 | 8 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Suns | | | | | | | | | | | | | | | | | | |\n| Gerald Green | 26 | 24 | 3 | 2 | 9-17 | 53% | 6-11 | 55% | 0-0 | 0% | 0 | 2 | 0 | 1 | 2 | 4 | N/A | Phoenix |\n| Eric Bledsoe | 38 | 21 | 1 | 10 | 6-10 | 60% | 2-3 | 67% | 7-8 | 88% | 3 | 3 | 0 | 0 | 1 | 3 | G | Phoenix |\n| Goran Dragic | 36 | 20 | 5 | 4 | 8-13 | 62% | 1-2 | 50% | 3-4 | 75% | 2 | 2 | 0 | 3 | 2 | 4 | G | Phoenix |\n| Markieff Morris | 36 | 15 | 10 | 7 | 6-17 | 35% | 0-2 | 0% | 3-3 | 100% | 3 | 3 | 4 | 2 | 8 | 2 | F | Phoenix |\n| Marcus Morris | 32 | 14 | 5 | 1 | 5-9 | 56% | 2-3 | 67% | 2-4 | 50% | 0 | 1 | 0 | 0 | 5 | 2 | F | Phoenix |\n| PJ Tucker | 27 | 10 | 7 | 1 | 4-8 | 50% | 2-4 | 50% | 0-0 | 0% | 1 | 2 | 0 | 1 | 6 | 2 | N/A | Phoenix |\n| Alex Len | 12 | 10 | 3 | 0 | 4-5 | 80% | 0-0 | 0% | 2-2 | 100% | 0 | 2 | 0 | 1 | 2 | 2 | N/A | Phoenix |\n| Miles Plumlee | 30 | 6 | 7 | 2 | 3-8 | 38% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 4 | 5 | 2 | 3 | C | Phoenix |\n| Anthony Tolliver | 4 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Phoenix |\n| Shavlik Randolph | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| TJ Warren | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Zoran Dragic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Archie Goodwin | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Nuggets | | | | | | | | | | | | | | | | | | |\n| Wilson Chandler | 32 | 19 | 7 | 1 | 7-12 | 58% | 2-4 | 50% | 3-4 | 75% | 1 | 3 | 1 | 3 | 4 | 5 | F | Denver |\n| Arron Afflalo | 35 | 18 | 2 | 1 | 6-11 | 55% | 2-2 | 100% | 4-5 | 80% | 0 | 1 | 0 | 0 | 2 | 2 | G | Denver |\n| Timofey Mozgov | 32 | 18 | 13 | 0 | 8-13 | 62% | 1-1 | 100% | 1-2 | 50% | 3 | 3 | 2 | 9 | 4 | 2 | C | Denver |\n| Ty Lawson | 40 | 17 | 7 | 12 | 4-16 | 25% | 1-7 | 14% | 8-8 | 100% | 2 | 2 | 0 | 2 | 5 | 1 | G | Denver |\n| Alonzo Gee | 18 | 11 | 5 | 0 | 5-9 | 56% | 0-0 | 0% | 1-1 | 100% | 1 | 2 | 0 | 3 | 2 | 1 | N/A | Denver |\n| Kenneth Faried | 29 | 8 | 5 | 1 | 3-8 | 38% | 0-0 | 0% | 2-4 | 50% | 1 | 5 | 0 | 2 | 3 | 2 | F | Denver |\n| Nate Robinson | 14 | 8 | 0 | 3 | 2-9 | 22% | 1-7 | 14% | 3-4 | 75% | 0 | 0 | 0 | 0 | 0 | 3 | N/A | Denver |\n| JJ Hickson | 14 | 7 | 3 | 0 | 2-5 | 40% | 0-0 | 0% | 3-4 | 75% | 0 | 0 | 0 | 1 | 2 | 1 | N/A | Denver |\n| Darrell Arthur | 17 | 6 | 4 | 1 | 2-4 | 50% | 1-2 | 50% | 1-2 | 50% | 2 | 1 | 1 | 0 | 4 | 3 | N/A | Denver |\n| Danilo Gallinari | 9 | 0 | 1 | 0 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Denver |\n| Gary Harris | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Erick Green | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Jusuf Nurkic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |" + } + ] + }, + { + "id": "table_recognition_train_item_68402", + "image": "table_instructV/images/TabFact_2-11739153-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| date | visitor | score | home | decision | attendance | record |\n| --- | --- | --- | --- | --- | --- | --- |\n| march 2 | los angeles | 1 - 2 | minnesota | backstrom | 18568 | 37 - 24 - 5 |\n| march 4 | chicago | 4 - 2 | minnesota | backstrom | 18568 | 37 - 25 - 5 |\n| march 6 | minnesota | 2 - 3 | carolina | harding | 16297 | 37 - 26 - 5 |\n| march 7 | minnesota | 2 - 3 | atlanta | backstrom | 18709 | 37 - 26 - 6 |\n| march 9 | san jose | 3 - 2 | minnesota | backstrom | 18568 | 37 - 26 - 7 |\n| march 13 | new jersey | 4 - 3 | minnesota | backstrom | 18568 | 37 - 26 - 8 |\n| march 15 | los angeles | 0 - 2 | minnesota | backstrom | 18568 | 38 - 26 - 8 |\n| march 17 | colorado | 1 - 3 | minnesota | backstrom | 18568 | 39 - 26 - 8 |\n| march 19 | minnesota | 3 - 4 | san jose | backstrom | 17496 | 39 - 26 - 9 |\n| march 21 | minnesota | 2 - 1 | vancouver | backstrom | 18630 | 40 - 26 - 9 |\n| march 22 | minnesota | 4 - 5 | calgary | harding | 19289 | 40 - 27 - 9 |\n| march 24 | minnesota | 3 - 5 | edmonton | harding | 16839 | 40 - 28 - 9 |\n| march 26 | edmonton | 1 - 3 | minnesota | backstrom | 18568 | 41 - 28 - 9 |\n| march 28 | vancouver | 0 - 4 | minnesota | backstrom | 18568 | 42 - 28 - 9 |\n| march 30 | colorado | 2 - 3 | minnesota | backstrom | 18568 | 43 - 28 - 9 |" + } + ] + }, + { + "id": "table_recognition_train_item_111601", + "image": "table_instructV/images/Rotowire_train_table_143.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Lakers | Los Angeles | 115 | 23 | 32 | 24 | 36 | 17 | 48 | 7 | 39 | 79 | 19 | 1 | 9 | | | | |\n| Warriors | Golden State | 136 | 34 | 40 | 41 | 21 | 32 | 51 | 16 | 54 | 88 | 50 | 8 | 2 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Lakers | | | | | | | | | | | | | | | | | | |\n| Kobe Bryant | 31 | 44 | 5 | 3 | 15-34 | 44% | 3-12 | 25% | 11-16 | 69% | 0 | 2 | 0 | 1 | 4 | 3 | G | Los Angeles |\n| Jordan Hill | 26 | 15 | 11 | 0 | 4-9 | 44% | 0-0 | 0% | 7-9 | 78% | 0 | 1 | 0 | 6 | 5 | 2 | C | Los Angeles |\n| Jordan Clarkson | 19 | 10 | 2 | 1 | 2-6 | 33% | 0-0 | 0% | 6-6 | 100% | 2 | 0 | 0 | 0 | 2 | 1 | N/A | Los Angeles |\n| Robert Sacre | 15 | 10 | 3 | 1 | 5-8 | 63% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 2 | 1 | N/A | Los Angeles |\n| Ed Davis | 26 | 10 | 6 | 2 | 5-10 | 50% | 0-0 | 0% | 0-0 | 0% | 2 | 0 | 3 | 3 | 3 | 3 | N/A | Los Angeles |\n| Xavier Henry | 12 | 8 | 2 | 2 | 1-1 | 100% | 0-0 | 0% | 6-8 | 75% | 0 | 1 | 0 | 1 | 1 | 3 | N/A | Los Angeles |\n| Wesley Johnson | 32 | 6 | 3 | 1 | 3-11 | 27% | 0-3 | 0% | 0-0 | 0% | 1 | 0 | 0 | 2 | 1 | 3 | F | Los Angeles |\n| Carlos Boozer | 21 | 6 | 5 | 1 | 3-13 | 23% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 4 | 4 | F | Los Angeles |\n| Ryan Kelly | 5 | 4 | 3 | 0 | 1-2 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 1 | 2 | 0 | N/A | Los Angeles |\n| Ronnie Price | 31 | 2 | 6 | 5 | 0-3 | 0% | 0-1 | 0% | 2-2 | 100% | 3 | 2 | 0 | 3 | 3 | 5 | N/A | Los Angeles |\n| Jeremy Lin | 22 | 0 | 2 | 1 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 1 | 1 | 2 | G | Los Angeles |\n| Wayne Ellington | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 30 | 30 | 4 | 15 | 10-19 | 53% | 5-9 | 56% | 5-5 | 100% | 1 | 3 | 0 | 0 | 4 | 0 | G | Golden State |\n| Marreese Speights | 20 | 24 | 9 | 0 | 8-11 | 73% | 0-0 | 0% | 8-8 | 100% | 0 | 1 | 0 | 4 | 5 | 3 | N/A | Golden State |\n| Klay Thompson | 29 | 18 | 3 | 3 | 5-11 | 46% | 2-7 | 29% | 6-6 | 100% | 0 | 2 | 3 | 0 | 3 | 3 | G | Golden State |\n| Andrew Bogut | 21 | 15 | 10 | 4 | 7-9 | 78% | 0-0 | 0% | 1-1 | 100% | 0 | 0 | 1 | 0 | 10 | 4 | C | Golden State |\n| Harrison Barnes | 24 | 14 | 2 | 1 | 4-8 | 50% | 2-3 | 67% | 4-5 | 80% | 0 | 0 | 1 | 0 | 2 | 3 | F | Golden State |\n| Draymond Green | 24 | 10 | 8 | 1 | 4-5 | 80% | 2-2 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 8 | 3 | F | Golden State |\n| Andre Iguodala | 21 | 10 | 3 | 1 | 4-6 | 67% | 2-3 | 67% | 0-1 | 0% | 2 | 0 | 0 | 2 | 1 | 0 | N/A | Golden State |\n| Leandro Barbosa | 19 | 4 | 0 | 3 | 1-4 | 25% | 0-1 | 0% | 2-2 | 100% | 1 | 0 | 0 | 0 | 0 | 3 | N/A | Golden State |\n| Shaun Livingston | 18 | 3 | 6 | 4 | 0-4 | 0% | 0-0 | 0% | 3-4 | 75% | 0 | 2 | 0 | 3 | 3 | 1 | N/A | Golden State |\n| Justin Holiday | 9 | 3 | 0 | 0 | 1-4 | 25% | 1-2 | 50% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 2 | N/A | Golden State |\n| Festus Ezeli | 11 | 3 | 3 | 0 | 1-2 | 50% | 0-0 | 0% | 1-2 | 50% | 0 | 3 | 0 | 2 | 1 | 3 | N/A | Golden State |\n| Ognjen Kuzmic | 8 | 2 | 2 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 1 | N/A | Golden State |\n| Brandon Rush | 6 | 0 | 1 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Golden State |" + } + ] + }, + { + "id": "table_recognition_train_item_105179", + "image": "table_instructV/images/ToTTo_train_table_21751.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| 2010-04-25 D-2 | Montreal Impact | 1–1 | Portland Timbers | Montreal | |\n| --- | --- | --- | --- | --- | --- |\n| 11:00 PDT | Pizzolitto 81' (pen.) | Report | 67' Pore | Stadium: Saputo Stadium Attendance: 13,034 (SO) | |" + } + ] + }, + { + "id": "table_recognition_train_item_61434", + "image": "table_instructV/images/TabFact_2-10910712-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| episode | title | directed by | written by | original airdate |\n| --- | --- | --- | --- | --- |\n| 89 (1) | déjà vu all over again | jon cassar | robert cochran | january 7 , 2001 |\n| 90 (2) | a girl who wasn't there | terry ingram | lawrence hertzog | january 14 , 2001 |\n| 91 (3) | in through the out door | rené bonnière | david wolkove | january 21 , 2001 |\n| 92 (4) | all the world 's a stage | joel surnow | david wolkove | february 4 , 2001 |\n| 93 (5) | the man behind the curtain | rené bonnière | lawrence hertzog | february 11 , 2001 |\n| 94 (6) | the evil that men do | roy dupuis | andy horne & katherine tomlinson | february 18 , 2001 |\n| 95 (7) | let no man put asunder | rené bonnière | lawrence hertzog | february 25 , 2001 |\n| 96 (8) | a time for every purpose | brad turner | michael loceff | march 4 , 2001 |" + } + ] + }, + { + "id": "table_recognition_train_item_50522", + "image": "table_instructV/images/TAT-QA_820fb984-4531-45a3-8ad2-11b5a2cb48c7.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | Fiscal Year | Fiscal Year |\n| --- | --- | --- |\n| | 2019 | 2018 |\n| Audit fees | $55,000 | $54,550 |\n| Audit-related fees | $- | $- |\n| Tax Fees | $- | $- |\n| All other fees | - | $- |\n| Total | 55,000 | $54,550 |" + } + ] + }, + { + "id": "table_recognition_train_item_62568", + "image": "table_instructV/images/TabFact_1-1547951-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| outcome | year | championship | surface | partner | opponents | score |\n| --- | --- | --- | --- | --- | --- | --- |\n| winner | 1990 | us open | hard | elizabeth sayers smylie | jim pugh natasha zvereva | 6 - 4 , 6 - 2 |\n| runner - up | 1992 | australian open | hard | arantxa sánchez vicario | mark woodforde nicole provis | 3 - 6 , 6 - 4 , 9 - 11 |\n| winner | 1992 | french open | clay | arantxa sánchez vicario | bryan shelton lori mcneil | 6 - 2 , 6 - 3 |\n| winner | 1993 | australian open | hard | arantxa sánchez vicario | rick leach zina garrison | 7 - 5 , 6 - 4 |\n| winner | 1993 | us open | hard | helena suková | mark woodforde martina navratilova | 6 - 3 , 7 - 6 |\n| runner - up | 1994 | australian open | hard | helena suková | andrei olhovskiy larisa savchenko neiland | 5 - 7 , 7 - 6 (9 - 7) , 2 - 6 |\n| winner | 1994 | wimbledon | grass | helena suková | t j middleton lori mcneil | 3 - 6 , 7 - 5 , 6 - 3 |\n| runner - up | 1994 | us open | hard | jana novotná | patrick galbraith elna reinach | 2 - 6 , 4 - 6 |\n| winner | 1995 | french open | clay | larisa savchenko | john - laffnie de jager jill hetherington | 7 - 6 (10 - 8) , 7 - 6 (7 - 4) |\n| runner - up | 2000 | australian open | hard | arantxa sánchez vicario | jared palmer rennae stubbs | 5 - 7 , 6 - 7 (3 - 7) |\n| runner - up | 2000 | french open | clay | rennae stubbs | david adams mariaan de swardt | 3 - 6 , 6 - 3 , 3 - 6 |\n| winner | 2001 | us open | hard | rennae stubbs | leander paes lisa raymond | 6 - 4 , 5 - 7 , 7 - 6 |\n| runner - up | 2003 | australian open | hard | eleni daniilidou | leander paes martina navrátilová | 4 - 6 , 5 - 7 |\n| runner - up | 2004 | wimbledon | grass | alicia molik | wayne black cara black | 6 - 3 , 6 - 7 , 4 - 6 |" + } + ] + }, + { + "id": "table_recognition_train_item_54986", + "image": "table_instructV/images/TabFact_1-19288592-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| currency bracket : | dollars taxed in bracket : | rate : | taxes from bracket : | after tax income : | percentage of income kept : |\n| --- | --- | --- | --- | --- | --- |\n| 1 40000 | 40000 | 15% | 6000 | 34000 | 85% |\n| 40000 - 100000 | 60000 | 35% | 21000 | 34000 + 39000 = 73000 | 73% |\n| 100000 - 175000 | 75000 | 50% | 37500 | 73000 + 37500 = 110500 | 63% |\n| 175 , 000 - 250000 | 75000 | 60% | 45000 | 110500 + 30000 = 140500 | 56% |\n| 250000 - 500000 | 250000 | 75% | 187500 | 140500 + 62000 = 203000 | 40.6% |" + } + ] + }, + { + "id": "table_recognition_train_item_68724", + "image": "table_instructV/images/TabFact_2-1286819-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| name | tour | giro | vuelta | total |\n| --- | --- | --- | --- | --- |\n| jacques anquetil ( fra ) | 6 | 6 | 1 | 13 |\n| bernard hinault ( fra ) | 7 | 3 | 2 | 12 |\n| eddy merckx ( bel ) | 6 | 5 | 1 | 12 |\n| felice gimondi ( ita ) | 2 | 9 | 1 | 12 |\n| miguel induráin ( esp ) | 5 | 3 | 1 | 9 |\n| laurent fignon ( fra ) | 3 | 2 | 1 | 6 |\n| carlos sastre ( esp ) | 2 | 1 | 3 | 6 |\n| tony rominger ( sui ) | 1 | 1 | 4 | 6 |\n| alberto contador ( esp ) | 2 | 1 | 2 | 5 |\n| cadel evans ( aus ) | 3 | 1 | 1 | 5 |\n| denis menchov ( rus ) | 2 | 1 | 2 | 5 |\n| vincenzo nibali ( ita ) | 1 | 3 | 1 | 5 |\n| jose manuel fuente ( esp ) | 1 | 1 | 2 | 4 |\n| joaquim rodríguez ( esp ) | 1 | 1 | 2 | 4 |\n| herman van springel ( bel ) | 1 | 1 | 1 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_55860", + "image": "table_instructV/images/TabFact_2-16346726-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| institution | nickname | location | founded | years in the acc | school type | enrollment |\n| --- | --- | --- | --- | --- | --- | --- |\n| boston college | eagles | chestnut hill , massachusetts | 1863 | 2005 - present | private / catholic ( jesuit ) | 14500 |\n| clemson | tigers | clemson , south carolina | 1889 | 1953 - present | public | 17165 |\n| duke | blue devils | durham , north carolina | 1838 | 1953 - present | private / nonsectarian | 6247 |\n| florida state | seminoles | tallahassee , florida | 1851 | 1991 - present | public ( state university system of florida ) | 38886 |\n| georgia tech | yellow jackets | atlanta , georgia | 1885 | 1978 - present | public ( university system of georgia ) | 19393 |\n| maryland | terrapins | college park , maryland | 1856 | 1953 - present | public ( university system of maryland ) | 35329 |\n| miami | hurricanes | coral gables , florida | 1925 | 2004 - present | private / nonsectarian | 15520 |\n| north carolina | tar heels | chapel hill , north carolina | 1789 | 1953 - present | public ( university of north carolina ) | 26878 |\n| nc state | wolfpack | raleigh , north carolina | 1887 | 1953 - present | public ( university of north carolina ) | 29957 |\n| notre dame | fighting irish | south bend , indiana | 1842 | 2013 | private / catholic ( congregation of holy cross ) | 11733 |\n| pittsburgh | panthers | pittsburgh , pennsylvania | 1787 | 2013 | state - related / nonsectarian | 28823 |\n| syracuse | orange | syracuse , new york | 1870 | 2013 | private / nonsectarian | 20407 |\n| virginia | cavaliers | charlottesville , virginia | 1819 | 1953 - present | public | 20399 |\n| virginia tech | hokies | blacksburg , virginia | 1872 | 2004 - present | public | 28000 |\n| wake forest | demon deacons | winston - salem , north carolina | 1834 | 1953 - present | private / nonsectarian | 6451 |" + } + ] + }, + { + "id": "table_recognition_train_item_111485", + "image": "table_instructV/images/Rotowire_train_table_85.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hornets | Charlotte | 90 | 22 | 30 | 24 | 14 | 20 | 38 | 11 | 41 | 76 | 20 | 9 | 7 | | | | |\n| Cavaliers | Cleveland | 95 | 23 | 27 | 22 | 23 | 17 | 50 | 16 | 42 | 76 | 32 | 12 | 4 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Kemba Walker | 35 | 18 | 4 | 4 | 6-16 | 38% | 1-4 | 25% | 5-5 | 100% | 3 | 3 | 2 | 1 | 3 | 0 | G | Charlotte |\n| Nicolas Batum | 39 | 17 | 8 | 4 | 6-13 | 46% | 1-7 | 14% | 4-5 | 80% | 1 | 3 | 0 | 2 | 6 | 2 | G | Charlotte |\n| Al Jefferson | 31 | 11 | 6 | 1 | 5-12 | 42% | 0-0 | 0% | 1-2 | 50% | 1 | 0 | 1 | 1 | 5 | 1 | C | Charlotte |\n| Jeremy Lamb | 24 | 11 | 8 | 0 | 5-12 | 42% | 0-2 | 0% | 1-3 | 33% | 0 | 1 | 1 | 1 | 7 | 2 | N/A | Charlotte |\n| Marvin Williams | 33 | 10 | 2 | 3 | 3-8 | 38% | 2-6 | 33% | 2-2 | 100% | 0 | 0 | 2 | 1 | 1 | 5 | F | Charlotte |\n| Jeremy Lin | 20 | 7 | 4 | 4 | 3-6 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 2 | 0 | 0 | 4 | 2 | N/A | Charlotte |\n| Cody Zeller | 15 | 7 | 2 | 1 | 1-2 | 50% | 0-0 | 0% | 5-6 | 83% | 1 | 1 | 1 | 0 | 2 | 4 | N/A | Charlotte |\n| Spencer Hawes | 5 | 4 | 0 | 1 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Charlotte |\n| Frank Kaminsky | 19 | 3 | 2 | 1 | 1-4 | 25% | 0-1 | 0% | 1-2 | 50% | 0 | 1 | 0 | 1 | 1 | 3 | N/A | Charlotte |\n| PJ Hairston | 19 | 2 | 2 | 1 | 1-5 | 20% | 0-3 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 2 | 4 | F | Charlotte |\n| Tyler Hansbrough | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Brian Roberts | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Troy Daniels | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Cavaliers | | | | | | | | | | | | | | | | | | |\n| LeBron James | 38 | 25 | 13 | 5 | 8-20 | 40% | 2-5 | 40% | 7-9 | 78% | 0 | 3 | 0 | 2 | 11 | 2 | F | Cleveland |\n| Kevin Love | 30 | 18 | 16 | 1 | 7-12 | 58% | 2-3 | 67% | 2-2 | 100% | 0 | 2 | 0 | 4 | 12 | 0 | F | Cleveland |\n| Richard Jefferson | 30 | 13 | 1 | 1 | 4-8 | 50% | 2-5 | 40% | 3-6 | 50% | 0 | 1 | 0 | 0 | 1 | 2 | N/A | Cleveland |\n| JR Smith | 31 | 11 | 3 | 1 | 4-10 | 40% | 1-5 | 20% | 2-2 | 100% | 1 | 1 | 0 | 1 | 2 | 4 | G | Cleveland |\n| Timofey Mozgov | 18 | 8 | 3 | 0 | 3-9 | 33% | 0-0 | 0% | 2-2 | 100% | 1 | 3 | 0 | 2 | 1 | 1 | C | Cleveland |\n| Tristan Thompson | 30 | 7 | 12 | 1 | 3-7 | 43% | 0-0 | 0% | 1-2 | 50% | 1 | 3 | 0 | 3 | 9 | 5 | N/A | Cleveland |\n| Matthew Dellavedova | 33 | 7 | 1 | 5 | 2-7 | 29% | 1-4 | 25% | 2-2 | 100% | 0 | 0 | 1 | 0 | 1 | 3 | N/A | Cleveland |\n| Mo Williams | 21 | 6 | 1 | 3 | 3-4 | 75% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 1 | 0 | 1 | 4 | G | Cleveland |\n| Jared Cunningham | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Cleveland |\n| James Jones | 8 | 0 | 0 | 0 | 0-4 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Cleveland |\n| Sasha Kaun | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Joe Harris | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Anderson Varejao | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |" + } + ] + }, + { + "id": "table_recognition_train_item_53554", + "image": "table_instructV/images/TabFact_2-11822854-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| date | score | set 1 | set 2 | set 3 | total |\n| --- | --- | --- | --- | --- | --- |\n| 02 oct | 3 - 0 | 15 - 0 | 15 - 4 | 15 - 8 | 45 - 12 |\n| 02 oct | 3 - 2 | 13 - 15 | 15 - 6 | 12 - 15 | 71 - 61 |\n| 03 oct | 3 - 0 | 15 - 5 | 15 - 5 | 15 - 2 | 45 - 12 |\n| 03 oct | 3 - 0 | 15 - 11 | 15 - 12 | 16 - 14 | 46 - 37 |\n| 04 oct | 3 - 0 | 15 - 1 | 15 - 1 | 15 - 5 | 45 - 7 |\n| 04 oct | 3 - 0 | 15 - 7 | 15 - 5 | 15 - 3 | 45 - 15 |" + } + ] + }, + { + "id": "table_recognition_train_item_49672", + "image": "table_instructV/images/TAT-QA_f1317910-20cc-408d-b886-5f8641392aec.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Enterprise d | | | | |\n| --- | --- | --- | --- | --- |\n| Adjusteda revenue £6,292m | | | Adjusteda operating profit £1,356m | |\n| | 2019 (IFRS 15) | 2018 (IAS 18) | Change | |\n| Year to 31 March | £m | £m | £m | % |\n| Adjusted a revenue | 6,292 | 6,647 | (355) | (5) |\n| Adjusted a operating costs | 4,302 | 4,570 | (268) | (6) |\n| Adjusted a EBITDA | 1,990 | 2,077 | (87) | (4) |\n| Depreciation & amortisation | 634 | 635 | (1) | - |\n| Adjusted a operating profit | 1,356 | 1,442 | (86) | (6) |\n| Capital expenditure | 501 | 492 | 9 | 2 |\n| Normalised free cash flow b | 1,483 | 1,587 | (104) | (7) |" + } + ] + }, + { + "id": "table_recognition_train_item_50954", + "image": "table_instructV/images/TAT-QA_639daf8b-2dfa-416f-b1e6-1df1392f08e7.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | Total | Fiscal year 2020 | Fiscal years 2021-2022 | Fiscal years 2023-2024 | Thereafter |\n| --- | --- | --- | --- | --- | --- |\n| | | | (in millions) | | |\n| Notes | $1,898.3 | $57.3 | $541.7 | $422.3 | $877.0 |\n| Term loan | 533.8 | 18.0 | 515.8 | — | — |\n| Operating lease obligations | 409.8 | 75.4 | 115.3 | 92.1 | 127.0 |\n| Purchase obligations | 82.7 | 47.8 | 17.0 | 11.7 | 6.2 |\n| Deferred compensation obligations | 60.3 | 5.0 | 9.2 | 8.8 | 37.3 |\n| Pension obligations | 25.5 | 2.4 | 4.6 | 4.6 | 13.9 |\n| Asset retirement obligations | 10.4 | 6.7 | 1.1 | 1.2 | 1.4 |\n| Total (1) | $3,020.8 | $212.6 | $1,204.7 | $540.7 | $1,062.8 |" + } + ] + }, + { + "id": "table_recognition_train_item_49654", + "image": "table_instructV/images/TAT-QA_e3462c1a-1e69-4a4a-b9e1-b65898926335.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| | | Years Ended December 31, | |\n| --- | --- | --- | --- |\n| (In thousands) | 2019 | 2018 | 2017 |\n| Cash flows provided by (used in): | | | |\n| Operating activities | $ 339,096 | $ 357,321 | $ 210,027 |\n| Investing activities | (217,819) | (221,459) | (1,042,711) |\n| Financing activities | (118,481) | (141,920) | 821,264 |\n| Increase (decrease) in cash and cash equivalents | $ 2,796 | $ (6,058) | $ (11,420) |" + } + ] + }, + { + "id": "table_recognition_train_item_35400", + "image": "table_instructV/images/TABMWP_32591.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Number of branches | Number of flowers |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | 20 |\n| 5 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_54796", + "image": "table_instructV/images/TabFact_2-18963089-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| wrestlers | reign | days held | location | event |\n| --- | --- | --- | --- | --- |\n| erin angel | 1 | 111 | eastleigh , hampshire | a night of champions |\n| vacated | - | - | - | - |\n| eden black | 1 | 302 | horndean , portsmouth | summer brawl 2006 |\n| wesna | 1 | 392 | live event | a night of champions |\n| sweet saraya | 1 | 225 | vienna , austria | wrestling weltmeisterschaft |\n| jetta | 1 | 300 | great yarmouth , norfolk | waw 15th anniversary |\n| britani knight | 1 | 700 | takeley , essex | hew final fight : the christmas spectacular |\n| queen maya | 1 | 491 | costessey , norfolk | bellatrix 2 |\n| liberty | 1 | 196 | norwich , norfolk | bellatrix 5 |\n| sammi baynz | 1 | 118 | norwich , norfolk | bellatrix 7 - bellatrix vs shimmer |" + } + ] + }, + { + "id": "table_recognition_train_item_65684", + "image": "table_instructV/images/TabFact_2-11346282-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| tournament | winner | runner - up | score | third place |\n| --- | --- | --- | --- | --- |\n| brussel | john mcenroe | guy forget | 6 - 2 , 6 - 7 (12) | filip dewulf |\n| algarve | michael stich | john mcenroe | 6 - 4 , 6 - 0 | jeremy bates |\n| graz | boris becker | mats wilander | 7 - 5. 6 - 0 | thomas muster |\n| paris | guy forget | guillaume raoux | 6 - 1 , 6 - 2 | yannick noah |\n| eindhoven | john mcenroe | petr korda | 2 - 6 , 6 - 3 | jan siemerink |\n| monte carlo | john mcenroe | petr korda | 6 - 2 , 6 - 2 | thomas muster |\n| london | john mcenroe | guy forget | 7 - 6 , 6 - 2 | none |" + } + ] + }, + { + "id": "table_recognition_train_item_63178", + "image": "table_instructV/images/TabFact_1-29332810-14.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| stage | winner | general classification | mountains classification | sprint classification | young rider classification | team classification | aggressive rider |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | matthew goss | matthew goss | luke roberts | matthew goss | matthew goss | team sky | simon clarke |\n| 2 | ben swift | robbie mcewen | luke roberts | mitchell docker | matthew goss | team sky | yuriy krivtsov |\n| 3 | michael matthews | matthew goss | luke roberts | matthew goss | matthew goss | team sky | luke durbridge |\n| 4 | cameron meyer | cameron meyer | luke roberts | thomas de gendt | cameron meyer | garmin - cervãlo | thomas de gendt |\n| 5 | francisco ventoso | cameron meyer | luke roberts | matthew goss | cameron meyer | movistar team | richie porte |\n| 6 | ben swift | cameron meyer | luke roberts | matthew goss | cameron meyer | movistar team | stuart o'grady |" + } + ] + }, + { + "id": "table_recognition_train_item_111431", + "image": "table_instructV/images/Rotowire_train_table_58.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Heat | Miami | 75 | 18 | 14 | 16 | 27 | 12 | 40 | 13 | 35 | 83 | 18 | 11 | 13 | | | | |\n| Bulls | Chicago | 93 | 14 | 25 | 33 | 21 | 21 | 44 | 19 | 47 | 86 | 50 | 15 | 8 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Luol Deng | 33 | 17 | 10 | 1 | 6-14 | 43% | 1-3 | 33% | 4-4 | 100% | 1 | 1 | 2 | 4 | 6 | 1 | F | Miami |\n| Dwyane Wade | 28 | 17 | 6 | 0 | 7-18 | 39% | 1-2 | 50% | 2-2 | 100% | 0 | 6 | 1 | 1 | 5 | 3 | G | Miami |\n| Mario Chalmers | 29 | 11 | 4 | 3 | 4-12 | 33% | 1-6 | 17% | 2-4 | 50% | 4 | 2 | 0 | 0 | 4 | 2 | N/A | Miami |\n| Justin Hamilton | 33 | 10 | 3 | 1 | 5-11 | 46% | 0-2 | 0% | 0-0 | 0% | 2 | 1 | 0 | 1 | 2 | 4 | C | Miami |\n| Norris Cole | 40 | 10 | 5 | 6 | 3-10 | 30% | 0-2 | 0% | 4-4 | 100% | 3 | 0 | 0 | 1 | 4 | 1 | G | Miami |\n| Shawne Williams | 28 | 4 | 3 | 0 | 1-4 | 25% | 1-3 | 33% | 1-2 | 50% | 1 | 1 | 0 | 0 | 3 | 2 | N/A | Miami |\n| Danny Granger | 20 | 4 | 3 | 0 | 1-6 | 17% | 0-3 | 0% | 2-2 | 100% | 2 | 1 | 1 | 2 | 1 | 5 | N/A | Miami |\n| Chris Andersen | 18 | 2 | 3 | 1 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 2 | 1 | 2 | N/A | Miami |\n| James Ennis III | 7 | 0 | 1 | 0 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | Miami |\n| Udonis Haslem | 4 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 2 | F | Miami |\n| Chris Bosh | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Josh McRoberts | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Mike Dunleavy | 30 | 22 | 4 | 2 | 8-11 | 73% | 4-5 | 80% | 2-2 | 100% | 0 | 1 | 2 | 0 | 4 | 2 | F | Chicago |\n| Jimmy Butler | 36 | 17 | 7 | 5 | 4-10 | 40% | 0-1 | 0% | 9-10 | 90% | 2 | 2 | 1 | 1 | 6 | 2 | G | Chicago |\n| Taj Gibson | 38 | 15 | 9 | 1 | 5-8 | 63% | 0-0 | 0% | 5-5 | 100% | 1 | 3 | 1 | 5 | 4 | 1 | F | Chicago |\n| Derrick Rose | 27 | 14 | 2 | 3 | 6-14 | 43% | 1-3 | 33% | 1-2 | 50% | 1 | 1 | 0 | 0 | 2 | 3 | G | Chicago |\n| Pau Gasol | 36 | 9 | 9 | 3 | 4-13 | 31% | 0-0 | 0% | 1-2 | 50% | 0 | 6 | 2 | 1 | 8 | 0 | C | Chicago |\n| Aaron Brooks | 17 | 8 | 2 | 1 | 3-6 | 50% | 2-3 | 67% | 0-0 | 0% | 0 | 3 | 1 | 1 | 1 | 4 | N/A | Chicago |\n| Nikola Mirotic | 20 | 5 | 7 | 1 | 2-7 | 29% | 1-5 | 20% | 0-0 | 0% | 0 | 0 | 1 | 0 | 7 | 2 | N/A | Chicago |\n| E'Twaun Moore | 0 | 3 | 0 | 0 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Chicago |\n| Kirk Hinrich | 31 | 0 | 4 | 4 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 4 | 4 | N/A | Chicago |\n| Nazr Mohammed | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Chicago |\n| Tony Snell | 2 | 0 | 0 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Chicago |\n| Cameron Bairstow | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Chicago |" + } + ] + }, + { + "id": "table_recognition_train_item_103375", + "image": "table_instructV/images/ToTTo_train_table_14140.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | 32–21–2 (3) | Takanori Gomi | KO (punches) | Rizin 11 | July 29, 2018 | 1 | 2:33 | Saitama, Japan | Catchweight (74 kg) bout; Guillard missed weight. |\n| Loss | 32–20–2 (3) | Maurice Jackson | TKO (punches) | SCL 65: Destination | February 10, 2018 | 2 | 1:50 | Denver, Colorado, United States | |\n| Loss | 32–19–2 (3) | Israel Adesanya | TKO (punches) | Australian Fighting Championship 20 | July 28, 2017 | 1 | 4:48 | Melbourne, Australia | For the Interim AFC Middleweight Championship. |\n| Loss | 32–18–2 (3) | Muslim Salikhov | KO (spinning hook kick) | Kunlun Fight MMA 12 | June 1, 2017 | 1 | 1:33 | Yantai, China | Guillard missed weight. |\n| Loss | 32–17–2 (3) | Chidi Njokuani | Decision (unanimous) | Bellator 171 | January 27, 2017 | 3 | 5:00 | Mulvane, Kansas, United States | 179 lb. Catchweight |\n| NC | 32–16–2 (3) | David Rickels | NC (overturned) | Bellator 159 | July 22, 2016 | 1 | 2:14 | Mulvane, Kansas, United States | Catchweight (158 lb) bout; Guillard missed weight. Originally a KO win, overturned after Guillard tested positive for a banned substance. |\n| Loss | 32–16–2 (2) | Derek Campos | KO (punches) | Bellator 149 | February 19, 2016 | 2 | 0:32 | Houston, Texas, United States | Catchweight (158 lbs) bout; Guillard missed weight. |\n| Loss | 32–15–2 (2) | Brandon Girtz | Decision (split) | Bellator 141 | August 28, 2015 | 3 | 5:00 | Temecula, California, United States | |\n| Loss | 32–14–2 (2) | Justin Gaethje | Decision (split) | WSOF 15 | November 15, 2014 | 3 | 5:00 | Tampa, Florida, United States | Non-title bout, Guillard missed weight (159 lbs). |\n| Win | 32–13–2 (2) | Gesias Cavalcante | TKO (punches and elbows) | WSOF 11 | July 5, 2014 | 2 | 2:36 | Daytona Beach, Florida, United States | Catchweight (157 lbs) bout; Guillard missed weight. |\n| Loss | 31–13–2 (2) | Michael Johnson | Decision (unanimous) | UFC Fight Night: Gustafsson vs. Manuwa | March 8, 2014 | 3 | 5:00 | London, England, United Kingdom | |\n| NC | 31–12–2 (2) | Ross Pearson | NC (illegal knee) | UFC Fight Night: Machida vs. Munoz | October 26, 2013 | 1 | 1:57 | Manchester, England, United Kingdom | Pearson was unable to continue after being cut by an accidental illegal knee. |\n| Win | 31–12–2 (1) | Mac Danzig | KO (punches) | UFC on Fox: Johnson vs. Moraga | July 27, 2013 | 2 | 2:47 | Seattle, Washington, United States | Knockout of the Night. |\n| Loss | 30–12–2 (1) | Jamie Varner | Decision (split) | UFC 155 | December 29, 2012 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Loss | 30–11–2 (1) | Donald Cerrone | KO (head kick and punch) | UFC 150 | August 11, 2012 | 1 | 1:16 | Denver, Colorado, United States | Catchweight (157.5 lb) bout; Guillard missed weight. Fight of the Night. |\n| Win | 30–10–2 (1) | Fabrício Camões | Decision (unanimous) | UFC 148 | July 7, 2012 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Loss | 29–10–2 (1) | Jim Miller | Submission (rear-naked choke) | UFC on FX: Guillard vs. Miller | January 20, 2012 | 1 | 3:04 | Nashville, Tennessee, United States | |\n| Loss | 29–9–2 (1) | Joe Lauzon | Submission (rear-naked choke) | UFC 136 | October 8, 2011 | 1 | 0:47 | Houston, Texas, United States | |\n| Win | 29–8–2 (1) | Shane Roller | KO (punches) | UFC 132 | July 2, 2011 | 1 | 2:12 | Las Vegas, Nevada, United States | |\n| Win | 28–8–2 (1) | Evan Dunham | TKO (knees) | UFC: Fight For The Troops 2 | January 22, 2011 | 1 | 2:58 | Fort Hood, Texas, United States | Knockout of the Night. |\n| Win | 27–8–2 (1) | Jeremy Stephens | Decision (split) | UFC 119 | September 25, 2010 | 3 | 5:00 | Indianapolis, Indiana, United States | |\n| Win | 26–8–2 (1) | Waylon Lowe | TKO (knee to the body) | UFC 114 | May 29, 2010 | 1 | 3:28 | Las Vegas, Nevada, United States | |\n| Win | 25–8–2 (1) | Ronys Torres | Decision (unanimous) | UFC 109 | February 6, 2010 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Loss | 24–8–2 (1) | Nate Diaz | Submission (guillotine choke) | UFC Fight Night: Diaz vs. Guillard | September 16, 2009 | 2 | 2:13 | Oklahoma City, Oklahoma, United States | |\n| Win | 24–7–2 (1) | Gleison Tibau | Decision (split) | The Ultimate Fighter: United States vs. United Kingdom Finale | June 20, 2009 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 23–7–2 (1) | Dennis Siver | TKO (punches) | UFC 86 | July 5, 2008 | 1 | 0:36 | Las Vegas, Nevada, United States | Knockout of the Night. |\n| Win | 22–7–2 (1) | Eric Regan | Decision (unanimous) | RITC 105: Friday Night Fights | March 7, 2008 | 3 | 3:00 | Phoenix, Arizona, United States | |\n| Loss | 21–7–2 (1) | Rich Clementi | Submission (rear-naked choke) | UFC 79 | December 29, 2007 | 1 | 4:40 | Las Vegas, Nevada, United States | |\n| Loss | 21–6–2 (1) | Joe Stevenson | Submission (guillotine choke) | UFC Fight Night: Stevenson vs. Guillard | April 5, 2007 | 1 | 0:27 | Las Vegas, Nevada, United States | Guillard tested positive for benzoylecgonine (cocaine metabolite). |\n| Win | 21–5–2 (1) | Gabe Ruediger | TKO (body punch) | UFC 63 | September 23, 2006 | 2 | 1:01 | Anaheim, California, United States | |\n| Win | 20–5–2 (1) | Rick Davis | KO (punch) | UFC 60 | May 27, 2006 | 1 | 1:37 | Los Angeles, California, United States | |\n| Loss | 19–5–2 (1) | Josh Neer | Submission (triangle choke) | UFC Fight Night 3 | January 16, 2006 | 1 | 4:20 | Las Vegas, Nevada, United States | Fight of the Night. |\n| Win | 19–4–2 (1) | Marcus Davis | TKO (doctor stoppage) | The Ultimate Fighter 2 Finale | November 5, 2005 | 2 | 2:55 | Las Vegas, Nevada, United States | |\n| NC | 18–4–2 (1) | Roger Huerta | NC (overturned) | Freestyle Fighting Championships 14 | March 5, 2005 | 3 | 5:00 | Biloxi, Mississippi, United States | Originally a decision win for Guillard; overturned due to Guillard greasing between rounds. |\n| Win | 18–4–2 | Peter Kaljevic | TKO (elbows) | Freestyle Fighting Championships 14 | March 5, 2005 | 1 | 2:24 | Biloxi, Mississippi, United States | |\n| Win | 17–4–2 | Darrell Smith | TKO (punches) | Freestyle Fighting Championships 14 | March 5, 2005 | 1 | 3:07 | Biloxi, Mississippi, United States | |\n| Win | 16–4–2 | Rob Emerson | Decision (split) | RCF: Cold Hearted | February 19, 2005 | 3 | 5:00 | Biloxi, Mississippi, United States | |\n| Loss | 15–4–2 | Santino Defranco | Submission (triangle choke) | ISCF: Domination at the DAC | November 20, 2004 | 1 | 2:33 | Atlanta, Georgia, United States | |\n| Win | 15–3–2 | Jason Hathaway | TKO (punches) | ISCF: Compound Fracture | October 15, 2004 | 1 | 0:37 | Atlanta, Georgia, United States | |\n| Draw | 14–3–2 | LaVerne Clark | Draw | RCF: Duel in the Delta | September 25, 2004 | 3 | 5:00 | Tunica, Mississippi, United States | |\n| Win | 14–3–1 | Angel Nievens | Decision (unanimous) | FFC 11: Explosion | September 10, 2004 | 3 | 5:00 | Biloxi, Mississippi, United States | |\n| Loss | 13–3–1 | Ryan Stout | Submission (armbar) | Battle of New Orleans 14 | July 10, 2004 | 1 | 2:55 | New Orleans, Louisiana, United States | |\n| Draw | 13–2–1 | Lee King | Draw | Battle of New Orleans 13 | June 25, 2004 | 3 | 5:00 | New Orleans, Louisiana, United States | |\n| Win | 13–2 | Rich Miller | TKO (punches) | Extreme Challenge 58 | June 11, 2004 | 2 | 2:07 | Medina, Minnesota, United States | |\n| Win | 12–2 | Kyle Bradley | TKO (punches) | Freestyle Fighting Championships 9 | May 14, 2004 | 1 | 4:20 | Biloxi, Mississippi, United States | |\n| Loss | 11–2 | Jake Short | Decision (unanimous) | Freestyle Fighting Championships 8 | March 5, 2004 | 3 | 5:00 | Biloxi, Mississippi, United States | |\n| Loss | 11–1 | Carlo Prater | Submission (guillotine choke) | Freestyle Fighting Championships 7 | December 19, 2003 | 1 | 2:32 | Biloxi, Mississippi, United States | |\n| Win | 11–0 | Justin Wieman | TKO (punches) | ISCF: Anarchy in August | August 2, 2003 | 2 | N/A | Atlanta, Georgia, United States | |\n| Win | 10–0 | Kyle Bradley | Submission (armbar) | FFC 6: No Love | July 11, 2003 | 1 | 2:54 | Biloxi, Mississippi, United States | |\n| Win | 9–0 | Paul Purcell | TKO (punches) | Art of War 2 | June 21, 2003 | 1 | N/A | Kalispell, Montana, United States | |\n| Win | 8–0 | Diego Saraiva | KO (punches) | ISCF: May Madness | May 23, 2003 | 1 | N/A | Atlanta, Georgia, United States | |\n| Win | 7–0 | Alex Kronofsky | KO (punch) | Battle of New Orleans 6 | April 26, 2003 | 1 | 1:32 | New Orleans, Louisiana, United States | |\n| Win | 6–0 | Aaron Williams | TKO (punches) | Freestyle Fighting Championships 5 | April 25, 2003 | 1 | 1:43 | Biloxi, Mississippi, United States | |\n| Win | 5–0 | Victor Estrada | Submission (armbar) | Battle of New Orleans 5 | March 22, 2003 | 1 | 2:04 | New Orleans, Louisiana, United States | |\n| Win | 4–0 | Rod Ramirez | TKO (punches) | Battle of New Orleans 4 | February 15, 2003 | 2 | 0:32 | New Orleans, Louisiana, United States | |\n| Win | 3–0 | Joe Jordan | Decision (unanimous) | Battle of New Orleans 3 | January 18, 2003 | 2 | 5:00 | New Orleans, Louisiana, United States | |\n| Win | 2–0 | Jonathon Hargroder | KO (punch) | Battle of New Orleans 2 | December 21, 2002 | 1 | 0:31 | New Orleans, Louisiana, United States | |\n| Win | 1–0 | Calvin Martin | Decision (unanimous) | Battle of New Orleans 1 | November 16, 2002 | 2 | 5:00 | New Orleans, Louisiana | |" + } + ] + }, + { + "id": "table_recognition_train_item_49462", + "image": "table_instructV/images/TAT-QA_f2fd4e8e-2709-433f-94a1-9561eda821ac.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| ($ in millions) | | | |\n| --- | --- | --- | --- |\n| For the year ended December 31: | 2019 | 2018 | Yr.-to-Yr. Percent Change |\n| External revenue | $1,400 | $1,590 | (11.9) % |\n| Internal revenue | 1,232 | 1,610 | (23.5) |\n| Total revenue | $2,632 | $3,200 | (17.8) % |\n| Pre-tax income | $1,055 | $1,361 | (22.5) % |" + } + ] + }, + { + "id": "table_recognition_train_item_54726", + "image": "table_instructV/images/TabFact_2-1452651-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| name | innhabitants | area | mayor | party | municipal code | language form |\n| --- | --- | --- | --- | --- | --- | --- |\n| askøy | 24875 | 100 | knut hanselmann | frp | 1247 | neutral |\n| fjell | 21744 | 148 | lars lie | høyre | 1246 | nynorsk |\n| os | 16590 | 140 | terje søviknes | frp | 1243 | nynorsk |\n| sund | 6069 | 100 | albrigt sangolt | høyre | 1245 | nynorsk |\n| austevoll | 4503 | 117 | helge andre njåstad | frp | 1244 | nynorsk |\n| øygarden | 4235 | 66 | olav martin vik | ll | 1259 | nynorsk |\n| fusa | 3822 | 378 | hans s vindenes | sp | 1241 | nynorsk |\n| samnanger | 2362 | 269 | marit a aase | krf | 1242 | nynorsk |" + } + ] + }, + { + "id": "table_recognition_train_item_32368", + "image": "table_instructV/images/TABMWP_17149.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $730 | 19,700 | 4,100 |\n| $810 | 18,400 | 7,100 |\n| $890 | 17,100 | 10,100 |\n| $970 | 15,800 | 13,100 |\n| $1,050 | 14,500 | 16,100 |" + } + ] + }, + { + "id": "table_recognition_train_item_117105", + "image": "table_instructV/images/Rotowire_train_table_2895.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 76ers | Philadelphia | 108 | 30 | 24 | 29 | 25 | 23 | 47 | 17 | 43 | 87 | 43 | 7 | 20 | | | | |\n| Nets | Brooklyn | 107 | 32 | 25 | 29 | 21 | 26 | 43 | 16 | 44 | 74 | 35 | 7 | 19 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Joel Embiid | 27 | 33 | 10 | 1 | 12-17 | 71% | 2-3 | 67% | 7-8 | 88% | 2 | 3 | 3 | 2 | 8 | 2 | F | Philadelphia |\n| Ersan Ilyasova | 31 | 22 | 4 | 2 | 7-12 | 58% | 4-7 | 57% | 4-4 | 100% | 0 | 2 | 1 | 0 | 4 | 3 | N/A | Philadelphia |\n| Robert Covington | 35 | 15 | 5 | 2 | 5-11 | 46% | 1-4 | 25% | 4-4 | 100% | 1 | 2 | 0 | 2 | 3 | 2 | F | Philadelphia |\n| Gerald Henderson | 29 | 10 | 2 | 3 | 4-6 | 67% | 1-1 | 100% | 1-1 | 100% | 1 | 0 | 0 | 0 | 2 | 1 | G | Philadelphia |\n| Sergio Rodriguez | 23 | 9 | 2 | 5 | 3-11 | 27% | 3-5 | 60% | 0-0 | 0% | 1 | 2 | 0 | 1 | 1 | 3 | G | Philadelphia |\n| TJ McConnell | 25 | 8 | 3 | 6 | 4-9 | 44% | 0-1 | 0% | 0-0 | 0% | 0 | 3 | 0 | 1 | 2 | 3 | N/A | Philadelphia |\n| Dario Saric | 25 | 7 | 8 | 2 | 3-10 | 30% | 1-5 | 20% | 0-0 | 0% | 0 | 1 | 0 | 2 | 6 | 1 | N/A | Philadelphia |\n| Jahlil Okafor | 28 | 3 | 10 | 2 | 0-9 | 0% | 0-0 | 0% | 3-4 | 75% | 0 | 3 | 1 | 5 | 5 | 3 | C | Philadelphia |\n| Hollis Thompson | 17 | 1 | 3 | 0 | 0-3 | 0% | 0-2 | 0% | 1-2 | 50% | 0 | 1 | 0 | 0 | 3 | 0 | N/A | Philadelphia |\n| Nerlens Noel | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Nik Stauskas | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Richaun Holmes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Timothe Luwawu-Cabarrot | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Nets | | | | | | | | | | | | | | | | | | |\n| Brook Lopez | 32 | 22 | 9 | 8 | 6-14 | 43% | 1-3 | 33% | 9-10 | 90% | 1 | 1 | 4 | 3 | 6 | 4 | C | Brooklyn |\n| Joe Harris | 28 | 19 | 2 | 2 | 7-13 | 54% | 5-9 | 56% | 0-0 | 0% | 2 | 2 | 0 | 0 | 2 | 3 | N/A | Brooklyn |\n| Jeremy Lin | 22 | 16 | 2 | 4 | 5-10 | 50% | 2-7 | 29% | 4-5 | 80% | 2 | 3 | 0 | 0 | 2 | 1 | N/A | Brooklyn |\n| Bojan Bogdanovic | 25 | 14 | 6 | 2 | 5-13 | 39% | 2-7 | 29% | 2-2 | 100% | 1 | 1 | 0 | 1 | 5 | 0 | F | Brooklyn |\n| Isaiah Whitehead | 21 | 11 | 1 | 0 | 3-6 | 50% | 2-3 | 67% | 3-4 | 75% | 0 | 0 | 0 | 0 | 1 | 2 | G | Brooklyn |\n| Sean Kilpatrick | 26 | 7 | 4 | 3 | 2-5 | 40% | 0-2 | 0% | 3-4 | 75% | 1 | 2 | 0 | 0 | 4 | 1 | G | Brooklyn |\n| Rondae Hollis-Jefferson | 19 | 7 | 5 | 1 | 3-5 | 60% | 0-1 | 0% | 1-4 | 25% | 1 | 3 | 1 | 1 | 4 | 3 | N/A | Brooklyn |\n| Trevor Booker | 31 | 5 | 6 | 4 | 2-7 | 29% | 0-1 | 0% | 1-2 | 50% | 0 | 2 | 0 | 1 | 5 | 3 | F | Brooklyn |\n| Luis Scola | 12 | 4 | 3 | 0 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 2 | N/A | Brooklyn |\n| Caris LeVert | 11 | 2 | 1 | 1 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Brooklyn |\n| Anthony Bennett | 13 | 0 | 4 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 3 | 1 | N/A | Brooklyn |\n| Randy Foye | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |\n| Justin Hamilton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |" + } + ] + }, + { + "id": "table_recognition_train_item_103001", + "image": "table_instructV/images/ToTTo_train_table_12611.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 2002 | Star Trek: Enterprise | Liana | Episode: \"Oasis\" |\n| 2002 | Birds of Prey | Lynne Emerson | Episode: \"Split\" |\n| 2003 | Frasier | Esthetician | Episode: \"Door Jam\" |\n| 2003 | Angel | Margaret | Episode: \"Shiny Happy People\" |\n| 2004 | Charmed | Demonatrix Two | Episode: \"A Wrong Day's Journey Into Right\" |\n| 2005 | Out of Practice | Conner | Episode: \"Breaking Up Is Hard to Do. And Do. And....\" |\n| 2005 | Killer Instinct | Cecilia Johnson | Episode: \"Forget Me Not\" |\n| 2005 | E-Ring | Lieutenant | Episode: \"Christmas Story\" |\n| 2006 | Cold Case | Libby Bradley (1979) | Episode: \"The Key\" |\n| 2006 | Boston Legal | Ellen Tanner | Episode: \"The Nutcrackers\" |\n| 2007 | Company Man | Kate Fisher | TV pilot |\n| 2007 | Supernatural | Susan Thompson | Episode: \"Playthings\" |\n| 2007 | General Hospital | Amelia Joffe | Recurring role (80 episodes) |\n| 2007 | Journeyman | Diana Bloom | Episode: \"Friendly Skies\" |\n| 2009–10 | 24 | Renee Walker | Regular role (37 episodes) |\n| 2010 | CSI: Crime Scene Investigation | Dr. Priscilla Prescott | Episode: \"House of Hoarders\" |\n| 2010 | NCIS | Deputy DA Gail Walsh | Episode: \"False Witness\" |\n| 2011 | Partners | Jesse-Lynn Mancini | TV film |\n| 2011 | No Ordinary Family | Michelle Cotton | Episode: \"No Ordinary Friends\" |\n| 2011 | Rizzoli & Isles | Nicole Mateo | Episode: \"Brown Eyed Girl\" |\n| 2011 | Hawaii Five-0 | Samantha Martell | Episode: \"Ka Hakaka Maika'i\" |\n| 2012 | Harry's Law | Patricia Stanhope | Episode: \"Breaking Points\" |\n| 2013 | Body of Proof | Yvonne Kurtz | Episodes: \"Abducted: Part I\", \"Abducted: Part II\" |\n| 2013 | Dallas | Alison Jones | Episodes: \"False Confessions\", \"The Furious and the Fast\", \"Ewings Unite!\", \"Guilt & Innocence\" |\n| 2013 | Touch | Dr. Kate Gordon | Episode: \"Clockwork\" |\n| 2013 | Revolution | Emma | Episodes: \"Home\", \"The Love Boat\" |\n| 2013; 2015 | Castle | Dr. Kelly Nieman | Episodes: \"Disciple\", \"Resurrection\", \"Reckoning\" |\n| 2014 | Intelligence | Kate Anderson | Episode: \"Mei Chen Returns\" |\n| 2014–16 | Bosch | Julia Brasher | Season 1 (regular role; 10 episodes) Season 2 (guest star; 1 episode) |\n| 2014 | Blue Bloods | Joyce Carpenter | Episode: \"Insult to Injury\" |\n| 2014 | Extant | Femi Dodd | Recurring role (5 episodes) |\n| 2015–16 | The Vampire Diaries | Lillian \"Lily\" Salvatore | Recurring role (17 episodes) |\n| 2016 | Code Black | Katie Miller | Episode: \"Hail Mary\" |\n| 2016 | The Catch | Karen Singh | Episode: \"The Ringer\" |\n| 2016 | Major Crimes | Liz Soto | Episode: \"Foreign Affairs\" |\n| 2017-18 | Timeless | Emma Whitmore | Recurring role (11 episodes) |\n| 2017 | Doubt | Bonnie Harris | Episode: \"To See, to Tell\" |\n| 2017-present | Runaways | Leslie Dean | Main cast |\n| 2018 | Hell's Kitchen | Herself | Guest diner; Episode: \"A Fond Farewell\" |" + } + ] + }, + { + "id": "table_recognition_train_item_60258", + "image": "table_instructV/images/TabFact_2-18009462-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| player | country | year (s) won | total | to par | finish |\n| --- | --- | --- | --- | --- | --- |\n| justin leonard | united states | 1997 | 281 | - 3 | t14 |\n| nick price | zimbabwe | 1994 | 282 | - 2 | t18 |\n| greg norman | australia | 1986 , 1993 | 282 | - 2 | t18 |\n| david duval | united states | 2001 | 283 | - 1 | t22 |\n| mark o'meara | united states | 1998 | 283 | - 1 | t22 |\n| tiger woods | united states | 2000 | 284 | e | t28 |\n| paul lawrie | scotland | 1999 | 289 | + 5 | t59 |\n| nick faldo | england | 1987 , 1990 , 1992 | 289 | + 5 | t59 |\n| sandy lyle | scotland | 1985 | 292 | + 8 | t76 |\n| mark calcavecchia | united states | 1989 | 295 | + 11 | t80 |" + } + ] + }, + { + "id": "table_recognition_train_item_117853", + "image": "table_instructV/images/Rotowire_train_table_3269.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Knicks | New York | 106 | 31 | 22 | 27 | 26 | 19 | 45 | 17 | 51 | 94 | 43 | 30 | 43 | | | | |\n| Bulls | Chicago | 94 | 27 | 18 | 20 | 29 | 15 | 34 | 8 | 42 | 78 | 24 | 36 | 35 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Knicks | | | | | | | | | | | | | | | | | | |\n| Carmelo Anthony | 35 | 26 | 7 | 4 | 9-17 | 53% | 3-9 | 33% | 5-5 | 100% | 1 | 2 | 0 | 2 | 5 | 2 | F | New York |\n| Kristaps Porzingis | 35 | 19 | 10 | 0 | 7-15 | 47% | 2-5 | 40% | 3-3 | 100% | 0 | 1 | 3 | 1 | 9 | 2 | F | New York |\n| Derrick Williams | 17 | 13 | 3 | 0 | 5-8 | 63% | 1-3 | 33% | 2-2 | 100% | 0 | 2 | 0 | 0 | 3 | 1 | N/A | New York |\n| Jose Calderon | 33 | 12 | 7 | 7 | 4-9 | 44% | 3-5 | 60% | 1-2 | 50% | 1 | 2 | 0 | 1 | 6 | 3 | G | New York |\n| Arron Afflalo | 29 | 11 | 3 | 2 | 5-9 | 56% | 1-2 | 50% | 0-0 | 0% | 0 | 2 | 0 | 0 | 3 | 0 | N/A | New York |\n| Sasha Vujacic | 19 | 9 | 1 | 3 | 3-5 | 60% | 3-3 | 100% | 0-0 | 0% | 2 | 2 | 0 | 0 | 1 | 1 | G | New York |\n| Langston Galloway | 16 | 6 | 4 | 1 | 1-2 | 50% | 0-1 | 0% | 4-4 | 100% | 0 | 0 | 1 | 0 | 4 | 1 | N/A | New York |\n| Jerian Grant | 12 | 4 | 0 | 0 | 2-4 | 50% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | New York |\n| Robin Lopez | 34 | 4 | 7 | 1 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 4 | 3 | 0 | 7 | 2 | C | New York |\n| Kevin Seraphin | 10 | 2 | 3 | 1 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 2 | 1 | 2 | 0 | N/A | New York |\n| Kyle O'Quinn | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Lou Amundson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Derrick Rose | 39 | 30 | 2 | 3 | 13-24 | 54% | 1-4 | 25% | 3-4 | 75% | 2 | 1 | 0 | 0 | 2 | 1 | G | Chicago |\n| Jimmy Butler | 39 | 19 | 3 | 3 | 7-15 | 47% | 1-3 | 33% | 4-6 | 67% | 3 | 4 | 1 | 1 | 2 | 3 | G | Chicago |\n| Taj Gibson | 26 | 10 | 6 | 1 | 4-8 | 50% | 0-0 | 0% | 2-2 | 100% | 1 | 0 | 0 | 1 | 5 | 4 | F | Chicago |\n| Mike Dunleavy | 29 | 9 | 4 | 2 | 3-10 | 30% | 3-7 | 43% | 0-0 | 0% | 1 | 1 | 0 | 0 | 4 | 1 | F | Chicago |\n| Nikola Mirotic | 24 | 8 | 6 | 3 | 2-9 | 22% | 0-3 | 0% | 4-4 | 100% | 0 | 1 | 0 | 2 | 4 | 3 | N/A | Chicago |\n| Cristiano Felicio | 21 | 6 | 1 | 0 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 1 | 0 | C | Chicago |\n| Aaron Brooks | 18 | 6 | 3 | 1 | 3-7 | 43% | 0-3 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 2 | 0 | N/A | Chicago |\n| Justin Holiday | 13 | 5 | 5 | 1 | 2-4 | 50% | 1-2 | 50% | 0-0 | 0% | 1 | 0 | 0 | 0 | 5 | 1 | N/A | Chicago |\n| Doug McDermott | 14 | 1 | 0 | 0 | 0-3 | 0% | 0-2 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Chicago |\n| Bobby Portis | 17 | 0 | 4 | 1 | 0-4 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 2 | 2 | 1 | N/A | Chicago |\n| E'Twaun Moore | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Pau Gasol | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Tony Snell | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |" + } + ] + }, + { + "id": "table_recognition_train_item_116179", + "image": "table_instructV/images/Rotowire_train_table_2432.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wizards | Washington | 96 | 24 | 19 | 31 | 22 | 25 | 53 | 20 | 43 | 85 | 28 | 33 | 20 | | | | |\n| Magic | Orlando | 80 | 16 | 19 | 19 | 26 | 18 | 33 | 11 | 40 | 67 | 18 | 16 | 39 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| Rasual Butler | 27 | 15 | 3 | 0 | 4-14 | 29% | 3-9 | 33% | 4-5 | 80% | 0 | 3 | 0 | 1 | 2 | 1 | N/A | Washington |\n| Marcin Gortat | 31 | 14 | 14 | 3 | 5-6 | 83% | 0-0 | 0% | 4-4 | 100% | 0 | 2 | 1 | 0 | 14 | 2 | C | Washington |\n| Nene | 21 | 14 | 3 | 3 | 6-10 | 60% | 0-0 | 0% | 2-2 | 100% | 0 | 2 | 0 | 3 | 0 | 2 | F | Washington |\n| Drew Gooden | 23 | 10 | 4 | 0 | 4-6 | 67% | 1-1 | 100% | 1-1 | 100% | 0 | 1 | 0 | 2 | 2 | 3 | N/A | Washington |\n| John Wall | 33 | 9 | 10 | 10 | 3-10 | 30% | 1-5 | 20% | 2-3 | 67% | 1 | 3 | 1 | 0 | 10 | 1 | G | Washington |\n| Kevin Seraphin | 17 | 7 | 6 | 0 | 3-8 | 38% | 0-0 | 0% | 1-2 | 50% | 0 | 3 | 1 | 4 | 2 | 2 | N/A | Washington |\n| Garrett Temple | 26 | 7 | 3 | 3 | 2-3 | 67% | 1-2 | 50% | 2-2 | 100% | 3 | 0 | 0 | 1 | 2 | 2 | G | Washington |\n| Martell Webster | 11 | 6 | 3 | 1 | 2-7 | 29% | 0-3 | 0% | 2-2 | 100% | 1 | 2 | 0 | 1 | 2 | 0 | N/A | Washington |\n| Paul Pierce | 22 | 6 | 1 | 1 | 2-9 | 22% | 1-5 | 20% | 1-2 | 50% | 2 | 2 | 0 | 0 | 1 | 1 | F | Washington |\n| Kris Humphries | 4 | 6 | 3 | 0 | 2-2 | 100% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 1 | 2 | 0 | N/A | Washington |\n| Andre Miller | 14 | 2 | 2 | 4 | 0-1 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 2 | 0 | N/A | Washington |\n| Otto Porter | 11 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Washington |\n| DeJuan Blair | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Evan Fournier | 33 | 18 | 2 | 2 | 7-14 | 50% | 2-5 | 40% | 2-2 | 100% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Orlando |\n| Nikola Vucevic | 33 | 14 | 8 | 1 | 6-10 | 60% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 1 | 7 | 4 | C | Orlando |\n| Victor Oladipo | 39 | 13 | 4 | 5 | 6-18 | 33% | 0-6 | 0% | 1-1 | 100% | 1 | 0 | 0 | 1 | 3 | 2 | G | Orlando |\n| Elfrid Payton | 37 | 11 | 5 | 5 | 4-11 | 36% | 0-0 | 0% | 3-5 | 60% | 6 | 4 | 0 | 2 | 3 | 2 | G | Orlando |\n| Maurice Harkless | 11 | 7 | 0 | 0 | 3-7 | 43% | 1-4 | 25% | 0-0 | 0% | 2 | 0 | 0 | 0 | 0 | 1 | N/A | Orlando |\n| Aaron Gordon | 17 | 5 | 0 | 0 | 2-4 | 50% | 0-0 | 0% | 1-1 | 100% | 1 | 2 | 1 | 0 | 0 | 4 | F | Orlando |\n| Kyle O'Quinn | 14 | 4 | 4 | 2 | 2-4 | 50% | 0-1 | 0% | 0-0 | 0% | 2 | 2 | 0 | 0 | 4 | 2 | N/A | Orlando |\n| Channing Frye | 20 | 3 | 2 | 0 | 1-6 | 17% | 1-4 | 25% | 0-0 | 0% | 1 | 2 | 2 | 0 | 2 | 4 | F | Orlando |\n| Dewayne Dedmon | 18 | 3 | 7 | 1 | 1-4 | 25% | 0-0 | 0% | 1-4 | 25% | 0 | 0 | 3 | 4 | 3 | 3 | N/A | Orlando |\n| Willie Green | 18 | 2 | 1 | 2 | 1-5 | 20% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Orlando |\n| Devyn Marble | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Ben Gordon | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Andrew Nicholson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |" + } + ] + }, + { + "id": "table_recognition_train_item_56202", + "image": "table_instructV/images/TabFact_2-1405757-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| county | per capita income | median household income | median family income | population | number of households |\n| --- | --- | --- | --- | --- | --- |\n| nantucket | 51456 | 84979 | 89236 | 10135 | 3745 |\n| norfolk | 43685 | 83733 | 106309 | 666426 | 255944 |\n| middlesex | 41453 | 79691 | 100267 | 1491762 | 577349 |\n| barnstable | 36000 | 60525 | 76708 | 216639 | 96775 |\n| massachusetts | 35051 | 65981 | 83371 | 6512227 | 2522409 |\n| essex | 34858 | 65785 | 83047 | 739505 | 284940 |\n| plymouth | 34285 | 74698 | 88110 | 492934 | 178996 |\n| dukes | 33228 | 69760 | 82659 | 16353 | 5568 |\n| suffolk | 32034 | 51638 | 60342 | 713089 | 286437 |\n| worcester | 31470 | 65772 | 81342 | 794981 | 299089 |\n| berkshire | 29387 | 48705 | 64393 | 131221 | 55793 |\n| hampshire | 29113 | 60331 | 82999 | 157630 | 58921 |\n| bristol | 28682 | 55813 | 71416 | 547305 | 210536 |\n| franklin | 28313 | 52246 | 65713 | 71495 | 30362 |\n| united states | 27915 | 52762 | 64293 | 306603772 | 114761359 |\n| hampden | 25363 | 48866 | 61800 | 462752 | 177954 |" + } + ] + }, + { + "id": "table_recognition_train_item_100371", + "image": "table_instructV/images/ToTTo_train_table_1571.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 1975 | Wide World Mystery | Waitress | Episode: \"Please Call It Murder\" |\n| 1975 | The Sunshine Boys | Eddie | |\n| 1975 | All in the Family | Dotty | Episode: \"Gloria is Nervous\" |\n| 1976–1977 | Phyllis | Harriet Hastings | Leading role; 24 episodes |\n| 1978 | Charlie's Angels | Elizabeth Mary 'Pokey' Jefferson | Episode: \"Angels in the Backfield\" |\n| 1978 | Barney Miller | Susan Schuman-Edwards | Episode: \"Evaluation\" |\n| 1979 | Blind Ambition | Carol | Television mini-series |\n| 1980 | Portrait of a Rebel: The Remarkable Mrs. Sanger | Mollie | Television film |\n| 1980 | The Seduction of Miss Leona | June Setzer | Television film |\n| 1982 | Halloween III: Season of the Witch | Marge Guttman | |\n| 1983 | Princess Daisy | Candice Bloom | Television film |\n| 1984 | Family Ties | Elizabeth Davidson | Episode: \"Baby Boy Doe\" |\n| 1984 | Children in the Crossfire | Doctor | Television film |\n| 1986 | Foley Square | Mrs. Sullivan | Episode: \"Kid Stuff\" |\n| 1987 | Jake's M.O. | Liz Reardon | |\n| 1988 | Buck James | Amy Ferguson | Episode: \"Heal Thyself\" |\n| 1988 | Killer Instinct | Claire | Television film |\n| 1989 | Have Faith | Edith Crepps | Episode: \"Letters from Home\" |\n| 1990 | Family of Spies | Mary | Television film |\n| 1990 | Falcon Crest | Ellen | Episode: \"Finding Lauren\" |\n| 1992 | Something to Live for: The Alison Gertz Story | Gwen | Television film |\n| 1993 | Quantum Leap | Gladys | Episode: \"Memphis Melody\" |" + } + ] + }, + { + "id": "table_recognition_train_item_57132", + "image": "table_instructV/images/TabFact_2-17334617-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | record | game site |\n| --- | --- | --- | --- | --- | --- |\n| 2 | april 10 , 2004 | columbus wardogs | w 38 - 33 | 1 - 0 | wachovia arena |\n| 3 | april 16 , 2004 | green bay blizzard | w 75 - 39 | 2 - 0 | resch center |\n| 4 | april 24 , 2004 | quad city steamwheelers | w 40 - 27 | 3 - 0 | wachovia arena |\n| 5 | may 1 , 2004 | louisville fire | w 59 - 51 | 4 - 0 | wachovia arena |\n| 6 | may 8 , 2004 | albany conquest | l 52 - 54 | 4 - 1 | times union center |\n| 7 | may 15 , 2004 | peoria pirates | w 33 - 30 | 5 - 1 | carver arena |\n| 8 | may 22 , 2004 | cape fear wildcats | w 48 - 41 | 6 - 1 | wachovia arena |\n| 9 | may 29 , 2004 | louisville fire | l 48 - 47 | 6 - 2 | freedom hall |\n| 10 | june 5 , 2004 | manchester wolves | w 57 - 41 | 7 - 2 | wachovia arena |\n| 11 | june 12 , 2004 | quad city steamwheelers | w 46 - 39 | 8 - 2 | i wireless center |\n| 12 | june 18 , 2004 | albany conquest | w 69 - 43 | 9 - 2 | times union center |\n| 13 | june 26 , 2004 | cape fear wildcats | l 57 - 49 | 9 - 3 | wachovia arena |\n| 15 | july 10 , 2004 | manchester wolves | w 61 - 42 | 10 - 3 | wachovia arena |\n| 16 | july 17 , 2004 | albany conquest | w 55 - 31 | 11 - 3 | wachovia arena |\n| 17 | july 24 , 2004 | cape fear wildcats | w 53 - 46 | 12 - 3 | crown coliseum |\n| 18 | july 30 , 2004 | manchester wolves | w 44 - 37 | 13 - 3 | verizon wireless arena |" + } + ] + }, + { + "id": "table_recognition_train_item_116327", + "image": "table_instructV/images/Rotowire_train_table_2506.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Timberwolves | Minnesota | 91 | 25 | 21 | 21 | 24 | 18 | 50 | 12 | 38 | 74 | 36 | 11 | 42 | | | | |\n| Warriors | Golden State | 94 | 28 | 28 | 17 | 21 | 26 | 49 | 15 | 44 | 78 | 26 | 42 | 9 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Kevin Martin | 36 | 21 | 5 | 1 | 9-19 | 47% | 3-5 | 60% | 0-0 | 0% | 1 | 2 | 0 | 1 | 4 | 4 | G | Minnesota |\n| Ricky Rubio | 32 | 18 | 9 | 5 | 7-16 | 44% | 2-5 | 40% | 2-2 | 100% | 3 | 4 | 0 | 1 | 8 | 4 | G | Minnesota |\n| Nikola Pekovic | 34 | 17 | 13 | 4 | 6-13 | 46% | 0-0 | 0% | 5-7 | 71% | 0 | 0 | 2 | 4 | 9 | 0 | C | Minnesota |\n| Thaddeus Young | 37 | 15 | 7 | 0 | 7-14 | 50% | 0-2 | 0% | 1-2 | 50% | 1 | 1 | 0 | 1 | 6 | 1 | F | Minnesota |\n| Andrew Wiggins | 38 | 6 | 4 | 4 | 3-7 | 43% | 0-1 | 0% | 0-0 | 0% | 2 | 1 | 0 | 2 | 2 | 3 | F | Minnesota |\n| Shabazz Muhammad | 14 | 6 | 4 | 0 | 1-4 | 25% | 0-1 | 0% | 4-4 | 100% | 0 | 0 | 0 | 0 | 4 | 0 | N/A | Minnesota |\n| Anthony Bennett | 11 | 4 | 3 | 0 | 0-3 | 0% | 0-0 | 0% | 4-4 | 100% | 0 | 1 | 0 | 0 | 3 | 1 | N/A | Minnesota |\n| Gorgui Dieng | 14 | 2 | 2 | 2 | 0-5 | 0% | 0-0 | 0% | 2-4 | 50% | 0 | 1 | 0 | 1 | 1 | 0 | N/A | Minnesota |\n| Chase Budinger | 8 | 1 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Minnesota |\n| Zach LaVine | 16 | 1 | 2 | 2 | 0-4 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 1 | 1 | 1 | N/A | Minnesota |\n| Adreian Payne | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Glenn Robinson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Lorenzo Brown | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 36 | 25 | 5 | 8 | 9-23 | 39% | 2-10 | 20% | 5-5 | 100% | 3 | 3 | 0 | 2 | 3 | 1 | G | Golden State |\n| Klay Thompson | 30 | 14 | 2 | 0 | 5-14 | 36% | 3-7 | 43% | 1-2 | 50% | 0 | 3 | 2 | 0 | 2 | 0 | G | Golden State |\n| Andrew Bogut | 32 | 10 | 10 | 3 | 5-10 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 4 | 0 | 3 | 7 | 5 | C | Golden State |\n| Leandro Barbosa | 19 | 10 | 1 | 1 | 5-10 | 50% | 0-4 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 0 | 1 | N/A | Golden State |\n| Harrison Barnes | 23 | 8 | 7 | 1 | 3-7 | 43% | 2-3 | 67% | 0-0 | 0% | 0 | 2 | 0 | 2 | 5 | 2 | F | Golden State |\n| Marreese Speights | 15 | 8 | 5 | 0 | 4-10 | 40% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 5 | 3 | N/A | Golden State |\n| Andre Iguodala | 24 | 8 | 1 | 4 | 4-4 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 1 | 0 | 1 | 4 | N/A | Golden State |\n| Shaun Livingston | 13 | 4 | 3 | 4 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 0 | 3 | 0 | N/A | Golden State |\n| David Lee | 13 | 4 | 2 | 0 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 0 | 2 | 0 | N/A | Golden State |\n| Draymond Green | 36 | 3 | 13 | 5 | 1-6 | 17% | 0-2 | 0% | 1-2 | 50% | 2 | 0 | 1 | 2 | 11 | 2 | F | Golden State |\n| Justin Holiday | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Festus Ezeli | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Brandon Rush | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |" + } + ] + }, + { + "id": "table_recognition_train_item_106779", + "image": "table_instructV/images/ToTTo_train_table_28511.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| date | distance (AU) |\n| --- | --- |\n| 2000-04-20 | 0.0913 |\n| 2007-04-25 | 0.0682 |\n| 2014-04-29 | 0.0843 |\n| 2034-04-21 | 0.0888 |\n| 2041-04-25 | 0.0680 |\n| 2048-04-29 | 0.0849 |\n| 2068-04-21 | 0.0863 |\n| 2075-04-26 | 0.0676 |\n| 2082-04-30 | 0.0890 |" + } + ] + }, + { + "id": "table_recognition_train_item_58218", + "image": "table_instructV/images/TabFact_1-1341577-47.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| district | incumbent | party | first elected | result | candidates |\n| --- | --- | --- | --- | --- | --- |\n| virginia 3 | thomas j bliley , jr | republican | 1980 | re - elected | thomas j bliley , jr (r) unopposed |\n| virginia 4 | norman sisisky | democratic | 1982 | re - elected | norman sisisky (d) unopposed |\n| virginia 6 | jim olin | democratic | 1982 | re - elected | jim olin (d) 63.9% charles e judd (r) 36.1% |\n| virginia 7 | d french slaughter , jr | republican | 1984 | re - elected | d french slaughter , jr (r) unopposed |\n| virginia 9 | rick boucher | democratic | 1982 | re - elected | rick boucher (d) 63.4% john c brown (r) 36.6% |" + } + ] + }, + { + "id": "table_recognition_train_item_48860", + "image": "table_instructV/images/TAT-QA_dbf30b93-4442-4378-83c4-cbd8e4acf00d.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | Fiscal Year | |\n| --- | --- | --- |\n| ($ in millions) | 2018 | 2017 |\n| Net sales | $2,157.7 | $1,797.6 |\n| Less: surcharge revenue | 365.4 | 239.2 |\n| Net sales excluding surcharge revenue | $1,792.3 | $1,558.4 |\n| Operating income | $189.3 | $121.5 |\n| Special items: | | |\n| Loss on divestiture of business | — | 3.2 |\n| Adjusted operating income excluding special items | $189.3 | $124.7 |\n| Operating margin | 8.8% | 6.8% |\n| Adjusted operating margin excluding surcharge revenue and special items | 10.6% | 8.0% |" + } + ] + }, + { + "id": "table_recognition_train_item_69516", + "image": "table_instructV/images/TabFact_2-17080033-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| date | venue | score | competition | report |\n| --- | --- | --- | --- | --- |\n| june 17 , 2007 | estádio campo desportivo , macau | 10 - 0 | eac | eaff |\n| june 19 , 2007 | estádio campo desportivo , macau | 1 - 1 | eac | eaff |\n| june 24 , 2007 | estádio campo desportivo , macau | 7 - 2 | eac | eaff |\n| october 13 , 2007 | central army stadium , tashkent (a) | 0 - 9 | wcq | fifa |\n| october 28 , 2007 | chungshan soccer stadium , taipei (h) | 0 - 2 | wcq | fifa |" + } + ] + }, + { + "id": "table_recognition_train_item_60326", + "image": "table_instructV/images/TabFact_2-18178608-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| opposing teams | against | date | venue | status |\n| --- | --- | --- | --- | --- |\n| scotland | 18 | 04 / 02 / 1984 | murrayfield , edinburgh | five nations |\n| ireland | 9 | 18 / 02 / 1984 | twickenham , london | five nations |\n| france | 32 | 03 / 03 / 1984 | parc des princes , paris | five nations |\n| wales | 24 | 17 / 03 / 1984 | twickenham , london | five nations |\n| south africa | 33 | 02 / 06 / 1984 | boet erasmus stadium , port elizabeth | first test |\n| south africa | 35 | 19 / 06 / 1984 | ellis park , johannesburg | second test |\n| australia | 19 | 03 / 11 / 1984 | twickenham , london | test match |" + } + ] + }, + { + "id": "table_recognition_train_item_53040", + "image": "table_instructV/images/TabFact_2-16311967-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| date | time | opponent | score | site | city |\n| --- | --- | --- | --- | --- | --- |\n| 03 / 03 / 07 | 12:00 pm | maryland | 3 - 14 | recreration field 1 | college park |\n| 03 / 03 / 07 | 2:00 pm | washington college | 3 - 13 | recreration field 1 | college park |\n| 03 / 07 / 07 | 5:00 pm | johns hopkins | 1 - 13 | homewood field | baltimore |\n| 03 / 10 / 07 | 4:00 pm | salisbury | 4 - 13 | intramural fields | salisbury , md |\n| 03 / 11 / 07 | 2:15 pm | mt st mary 's | 6 - 4 | mt st mary 's | emmitsburg , md |\n| 03 / 11 / 07 | 3:00 pm | frostburg | 8 - 9 | mt st mary 's | emmitsburg , md |\n| 3 / 30 / 07 | 7:00 pm | navy | 1 - 8 | rip miller field | annaoplis |\n| 3 / 31 / 07 | 4:00 pm | umbc | 9 - 8 | umbc club fields | catonsville , md |\n| 4 / 01 / 07 | 2:00 pm | loyola | 2 - 15 | geppi - aikens field | baltimore , md |\n| 4 / 07 / 07 | 2:00 pm | delaware | 5 - 17 | frazier field | newark , de |\n| 4 / 14 / 07 | 4:00 pm | howard | 9 - 4 | herring run park | baltimore , md |\n| 4 / 15 / 07 | 6:00 pm | johns hopkins | 8 - 9 | homewood field | baltimore , md |\n| 4 / 28 / 07 | 2:00 pm | university of baltimore | 3 - 14 | mt washington field | baltimore , md |" + } + ] + }, + { + "id": "table_recognition_train_item_49918", + "image": "table_instructV/images/TAT-QA_8bb5a9d9-9c61-493b-8065-1dd51b629efe.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| | | Three months ended | | |\n| --- | --- | --- | --- | --- |\n| | March 31, 2018 | June 30, 2018 | September 30, 2018 | December 31, 2018 |\n| | | (in thousands, except share and per share amounts) | | |\n| Service revenue | $128,706 | $129,296 | $130,139 | $132,049 |\n| Network operations, including equity-based compensation expense | 54,875 | 54,379 | 54,615 | 55,660 |\n| Gains on equipment transactions | 117 | 357 | 416 | 92 |\n| Operating income | 20,637 | 21,354 | 22,255 | 22,311 |\n| Net income | 6,784 | 6,552 | 8,231 | 7,100 |\n| Net income per common share—basic and diluted | 0.15 | 0.15 | 0.18 | 0.16 |\n| Weighted-average number of common shares—basic | 44,923,973 | 45,016,767 | 45,105,830 | 45,284,481 |\n| Weighted-average number of common shares—diluted | 45,294,697 | 45,536,473 | 45,699,635 | 45,803,418 |" + } + ] + }, + { + "id": "table_recognition_train_item_59924", + "image": "table_instructV/images/TabFact_2-1004125-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| pick | mls team | player | position | affiliation |\n| --- | --- | --- | --- | --- |\n| 51 | chicago fire | ryan mcgowan | m | seton hall university |\n| 52 | columbus crew | matthew haefner | gk | university of pennsylvania |\n| 53 | los angeles galaxy | alan gordon | f | oregon state university |\n| 54 | dallas burn | edwin miranda | d | cal state northridge |\n| 55 | colorado rapids | john pulido | m | florida international university |\n| 56 | new england revolution | fãlix brillant | f | franklin pierce college |\n| 57 | los angeles galaxy | chris aloisi | d | syracuse university |\n| 58 | new england revolution | andy dorman | m | boston university |\n| 59 | chicago fire | tony mcmanus | d | uab |\n| 60 | metrostars | jeff parke | d | drexel university |" + } + ] + }, + { + "id": "table_recognition_train_item_31542", + "image": "table_instructV/images/TABMWP_8493.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $745 | 17,700 | 14,400 |\n| $865 | 13,900 | 15,600 |\n| $985 | 10,100 | 16,800 |\n| $1,105 | 6,300 | 18,000 |\n| $1,225 | 2,500 | 19,200 |" + } + ] + }, + { + "id": "table_recognition_train_item_115203", + "image": "table_instructV/images/Rotowire_train_table_1944.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Raptors | Toronto | 116 | 24 | 23 | 23 | 34 | 15 | 46 | 16 | 48 | 79 | 26 | 45 | 32 | | | | |\n| Celtics | Boston | 117 | 15 | 32 | 34 | 23 | 26 | 44 | 15 | 49 | 68 | 31 | 35 | 42 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| DeMar DeRozan | 43 | 38 | 1 | 3 | 14-25 | 56% | 0-1 | 0% | 10-12 | 83% | 1 | 6 | 0 | 0 | 1 | 1 | G | Toronto |\n| Lou Williams | 34 | 27 | 2 | 4 | 9-17 | 53% | 3-8 | 38% | 6-8 | 75% | 1 | 3 | 1 | 1 | 1 | 3 | N/A | Toronto |\n| Tyler Hansbrough | 36 | 18 | 8 | 0 | 5-5 | 100% | 0-0 | 0% | 8-8 | 100% | 2 | 1 | 1 | 1 | 7 | 6 | F | Toronto |\n| Jonas Valanciunas | 33 | 12 | 14 | 2 | 5-12 | 42% | 0-0 | 0% | 2-3 | 67% | 0 | 1 | 1 | 2 | 12 | 4 | C | Toronto |\n| James Johnson | 15 | 9 | 1 | 0 | 3-4 | 75% | 0-0 | 0% | 3-5 | 60% | 0 | 0 | 0 | 0 | 1 | 3 | N/A | Toronto |\n| Greivis Vasquez | 37 | 8 | 4 | 3 | 3-9 | 33% | 2-6 | 33% | 0-0 | 0% | 1 | 4 | 0 | 1 | 3 | 3 | G | Toronto |\n| Terrence Ross | 30 | 4 | 7 | 1 | 1-3 | 33% | 1-3 | 33% | 1-2 | 50% | 0 | 0 | 0 | 1 | 6 | 0 | F | Toronto |\n| Charles Hayes | 5 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 2 | 0 | 0 | N/A | Toronto |\n| Patrick Patterson | 32 | 0 | 7 | 2 | 0-7 | 0% | 0-5 | 0% | 0-0 | 0% | 2 | 1 | 1 | 1 | 6 | 2 | N/A | Toronto |\n| Amir Johnson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Greg Stiemsma | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Bruno Caboclo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Landry Fields | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Isaiah Thomas | 27 | 25 | 2 | 4 | 10-19 | 53% | 3-8 | 38% | 2-2 | 100% | 0 | 4 | 0 | 0 | 2 | 0 | N/A | Boston |\n| Tyler Zeller | 25 | 20 | 9 | 3 | 8-10 | 80% | 0-0 | 0% | 4-6 | 67% | 0 | 0 | 0 | 2 | 7 | 5 | C | Boston |\n| Evan Turner | 42 | 18 | 6 | 10 | 9-17 | 53% | 0-2 | 0% | 0-0 | 0% | 3 | 4 | 0 | 1 | 5 | 5 | F | Boston |\n| Kelly Olynyk | 24 | 16 | 2 | 0 | 5-10 | 50% | 2-5 | 40% | 4-4 | 100% | 2 | 3 | 1 | 1 | 1 | 3 | N/A | Boston |\n| Marcus Smart | 32 | 15 | 4 | 4 | 6-9 | 67% | 2-5 | 40% | 1-3 | 33% | 2 | 2 | 1 | 1 | 3 | 1 | G | Boston |\n| Brandon Bass | 26 | 11 | 3 | 1 | 4-9 | 44% | 0-0 | 0% | 3-5 | 60% | 0 | 0 | 0 | 1 | 2 | 4 | F | Boston |\n| Avery Bradley | 38 | 7 | 4 | 1 | 3-13 | 23% | 1-3 | 33% | 0-0 | 0% | 1 | 0 | 0 | 0 | 4 | 2 | G | Boston |\n| Jae Crowder | 30 | 3 | 4 | 3 | 1-4 | 25% | 0-2 | 0% | 1-2 | 50% | 0 | 0 | 1 | 0 | 4 | 5 | N/A | Boston |\n| Jonas Jerebko | 9 | 2 | 3 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 2 | 1 | 1 | N/A | Boston |\n| Jared Sullinger | 12 | 0 | 7 | 0 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 2 | 2 | 1 | 4 | 3 | 2 | N/A | Boston |\n| Phil Pressey | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Gigi Datome | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Gerald Wallace | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |" + } + ] + }, + { + "id": "table_recognition_train_item_64844", + "image": "table_instructV/images/TabFact_2-13793279-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| name | circuit | date | winning driver | winning constructor | report |\n| --- | --- | --- | --- | --- | --- |\n| targa florio | madonie | 22 april | felice nazzaro | fiat | report |\n| moscow - st petersburg | public roads | 7 june | arthur duray | lorraine - dietrich | report |\n| kaiser preis | taunus | 13 - 14 june | felice nazzaro | fiat | report |\n| ardennes circuit (kaiser formula) | bastogne | 25 july | john moore - brabazon | minerva | report |\n| ardennes circuit | bastogne | 27 july | pierre de caters | mercedes | report |\n| coppa florio | brescia | 1 september | ferdinando minoia | isotta - fraschini | report |\n| coppa della velocità | brescia | 2 september | alessandro cagno | itala | report |" + } + ] + }, + { + "id": "table_recognition_train_item_58962", + "image": "table_instructV/images/TabFact_2-16690948-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| world record | press | 103.5 | roger franã§ois | paris ( fra ) |\n| --- | --- | --- | --- | --- |\n| snatch | 104.5 | hans haas | vienna ( aut ) | 1927 |\n| clean & jerk | 142.5 | karl hipfinger | vienna ( aut ) | 1927 |\n| total | 330 | karl hipfinger | vienna ( aut ) | 1927 |\n| olympic record | press | 97.5 | carlo galimberti | paris ( fra ) |\n| olympic record | press | 97.5 | ahmed samy | paris ( fra ) |\n| olympic record | snatch | 95 | carlo galimberti | paris ( fra ) |\n| olympic record | clean & jerk | 127.5 | carlo galimberti | paris ( fra ) |\n| olympic record | clean & jerk | 127.5 | jaan kikkas | paris ( fra ) |\n| olympic record | total | 320 | carlo galimberti | paris ( fra ) |" + } + ] + }, + { + "id": "table_recognition_train_item_62206", + "image": "table_instructV/images/TabFact_2-17288825-10.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| game | date | team | high points | high rebounds | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- |\n| 75 | april 1 | phoenix | ron artest (28) | yao ming (14) | us airways center 18422 | 48 - 27 |\n| 76 | april 3 | la lakers | ron artest (21) | yao ming (10) | staples center 18997 | 48 - 28 |\n| 77 | april 5 | portland | yao ming (21) | yao ming (12) | toyota center 18214 | 49 - 28 |\n| 78 | april 7 | orlando | yao ming (20) | yao ming (16) | toyota center 18389 | 50 - 28 |\n| 79 | april 9 | sacramento | ron artest (26) | yao ming (9) | arco arena 12897 | 51 - 28 |\n| 80 | april 10 | golden state | luis scola (28) | dikembe mutombo (15) | oracle arena 19596 | 52 - 28 |\n| 81 | april 13 | new orleans | yao ming (22) | luis scola (15) | toyota center 18409 | 53 - 28 |\n| 82 | april 15 | dallas | yao ming (23) | yao ming (9) | american airlines center | 53 - 29 |" + } + ] + }, + { + "id": "table_recognition_train_item_50952", + "image": "table_instructV/images/TAT-QA_bdeeb701-bae6-4a36-86d6-108c8e43c5e2.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| | | Percent Expected to be Recognized as Revenue | | | |\n| --- | --- | --- | --- | --- | --- |\n| (in millions, except percentages) | Total Remaining Performance Obligations | 0-12 Months | 13-24 Months | 25-36 Months | Over 36 Months |\n| Enterprise Security | $2,059 | 65% | 24% | 10% | 2% |\n| Consumer Cyber Safety | 549 | 95% | 4% | 1% | -% |\n| Total | $2,608 | 71% | 19% | 8% | 1% |" + } + ] + }, + { + "id": "table_recognition_train_item_62406", + "image": "table_instructV/images/TabFact_1-20312599-23.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| rank | name | nationality | 1st (m) | 2nd (m) | points | overall nt points | overall wc points (rank) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | takanobu okabe | japan | 123.5 | 123.0 | 241.7 | 467.7 (2) | 214 (24) |\n| 2 | simon ammann | switzerland | 119.5 | 126.0 | 240.4 | 476.4 (1) | 1578 (2) |\n| 3 | adam maå‚ysz | poland | 119.5 | 127.5 | 239.3 | 443.3 (8) | 307 (18) |\n| 4 | harri olli | finland | 130.5 | 115.0 | 234.9 | 467.4 (3) | 706 (6) |\n| 5 | noriaki kasai | japan | 124.5 | 117.0 | 231.2 | 330.7 (19) | 301 (19) |" + } + ] + }, + { + "id": "table_recognition_train_item_63930", + "image": "table_instructV/images/TabFact_2-1176162-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| engine name | engine code (s) | valvetrain | displacement | max power at rpm | max torque at rpm |\n| --- | --- | --- | --- | --- | --- |\n| petrol engines | petrol engines | petrol engines | petrol engines | petrol engines | petrol engines |\n| 1.4 | bxw | dohc 16v | 1390 cc | 5000 | 3800 |\n| 1.6 | bgu / bse / bsf / ccsa | sohc 8v | 1595cc | 5600 | 3800 |\n| 1.8 tsi | bzb | dohc 16v | 1798cc | 5000 | 1500 |\n| 2.0 fsi | blr / bvy | dohc 16v | 1984cc | 6000 | 3250 |\n| 2.0 tfsi | bwa | dohc 16v | 1984cc | 5100 | 1800 |\n| diesel engines | diesel engines | diesel engines | diesel engines | diesel engines | diesel engines |\n| 1.9 tdi | bjb / bkc / bxe / bls | sohc 8v | 1896 cc | 4000 | 1900 |\n| 2.0 tdi | azv | dohc 16v | 1968cc | 4000 | 1750 |\n| 2.0 tdi | bkd | dohc 16v | 1968cc | 4000 | 1750 |\n| 2.0 tdi dpf | bmm | sohc 8v | 1968cc | 4000 | 1750 |\n| 2.0 tdi dpf | bmn | dohc 16v | 1968cc | 4200 | 1750 |" + } + ] + }, + { + "id": "table_recognition_train_item_106837", + "image": "table_instructV/images/ToTTo_train_table_28724.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Country | Period | Real GDP per Person at Beginning of Period | Real GDP per Person at End of Period | Annualized Growth Rate |\n| --- | --- | --- | --- | --- |\n| Japan | 1890-2008 | $1,504 | $35,220 | 2.71% |\n| Brazil | 1900-2008 | $779 | $10,070 | 2.40% |\n| Mexico | 1900-2008 | $1,159 | $14,270 | 2.35% |\n| Germany | 1870-2008 | $2,184 | $35,940 | 2.05% |\n| Canada | 1870-2008 | $2,375 | $36,220 | 1.99% |\n| China | 1900-2008 | $716 | $6,020 | 1.99% |\n| United States | 1870-2008 | $4,007 | $46,970 | 1.80% |\n| Argentina | 1900-2008 | $2,293 | $14,020 | 1.69% |\n| United Kingdom | 1870-2008 | $4,808 | $36,130 | 1.47% |\n| India | 1900-2008 | $675 | $2,960 | 1.38% |\n| Indonesia | 1900-2008 | $891 | $3,830 | 1.36% |\n| Pakistan | 1900-2008 | $737 | $2,700 | 1.21% |\n| Bangladesh | 1900-2008 | $623 | $1,440 | 0.78% |" + } + ] + }, + { + "id": "table_recognition_train_item_105231", + "image": "table_instructV/images/ToTTo_train_table_21982.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Rank | Country/Territory | Capital | Population | Year | % of country's population |\n| --- | --- | --- | --- | --- | --- |\n| 1 | China PR | Beijing | 20,693,000 | 2012 | 1.52% |\n| 2 | India | New Delhi | 16,787,949 | 2014 | 1.10% |\n| 3 | Japan | Tokyo | 13,491,000 | 2015 | 10.67% |\n| 4 | Philippines | Manila | 12,877,253 | 2015 | 12.8% |\n| 5 | Russia | Moscow | 11,541,000 | 2011 | 8.07% |\n| 6 | Egypt | Cairo | 10,230,350 | 2012 | 11.10% |\n| 7 | Indonesia | Jakarta | 10,187,595 | 2011 | 4.18% |\n| 8 | DR Congo | Kinshasa | 10,125,000 | 2012 | 12.30% |\n| 9 | South Korea | Seoul | 9,989,795 | 2015 | 20.47% |\n| 10 | Bangladesh | Dhaka | 8,906,000 | 2011 | 5.56% |\n| 11 | Mexico | Mexico City | 8,851,080 | 2010 | 7.51% |\n| 12 | Iran | Tehran | 8,846,782 | 2014 | 9.91% |\n| 13 | England | London | 8,630,100 | 2015 | 13.25% |\n| 14 | Peru | Lima | 8,481,415 | 2012 | 28.29% |\n| 15 | Thailand | Bangkok | 8,249,117 | 2010 | 12.42% |\n| 16 | Colombia | Bogotá | 7,613,303 | 2011 | 16.17% |\n| 17 | Vietnam | Hanoi | 7,587,800 | 2014 | 8.22% |\n| 18 | Hong Kong (China) | Hong Kong | 7,298,600 | 2015 | 100% |\n| 19 | Iraq | Baghdad | 7,216,040 | | 21.59% |\n| 20 | Singapore | Singapore | 5,535,000 | 2015 | 100% |\n| 21 | Turkey | Ankara | 5,150,072 | 2014 | 6.72% |\n| 22 | Chile | Santiago | 5,084,038 | 2012 | 29.12% |\n| 23 | Saudi Arabia | Riyadh | 4,878,723 | 2009 | 18.20% |\n| 24 | Germany | Berlin | 3,520,000 | 2012 | 4.38% |\n| 25 | Syria | Damascus | 3,500,000 | | 15.32% |\n| 26 | Algeria | Algiers | 3,415,811 | | 8.45% |\n| 27 | Spain | Madrid | 3,233,527 | 2012 | 6.84% |\n| 28 | North Korea | Pyongyang | 3,144,005 | | 12.63% |\n| 29 | Afghanistan | Kabul | 3,140,853 | | 10.28% |\n| 30 | Kenya | Nairobi | 3,138,369 | 2010 | 7.67% |\n| 31 | Greece | Athens | 3,090,508 | | 28.02% |\n| 32 | Ethiopia | Addis Ababa | 3,040,740 | 2012 | 3.31% |\n| 33 | Argentina | Buenos Aires | 2,891,082 | 2010 | 7.16% |\n| 34 | Italy | Rome | 2,868,104 | 2014 | 4.72% |\n| 35 | Ukraine | Kiev | 2,847,200 | 2013 | 6.26% |\n| 36 | Cameroon | Yaoundé | 2,765,568 | 2015 | 11.65% |\n| 37 | Taiwan | Taipei | 2,686,516 | 2013 | 11.53% |\n| 38 | Brazil | Brasília | 2,648,532 | 2012 | 1.33% |\n| 39 | Jordan | Amman | 2,600,603 | | 40.26% |\n| 40 | Angola | Luanda | 2,453,779 | | 11.43% |\n| 41 | South Africa | Pretoria | 2,345,908 | | 4.43% |\n| 42 | France | Paris | 2,241,346 | 2014 | 3.38% |\n| 43 | Uzbekistan | Tashkent | 2,207,850 | | 7.30% |\n| 44 | Azerbaijan | Baku | 2,204,200 | 2015 | 22.96% |\n| 45 | Cuba | Havana | 2,135,498 | 2010 | 18.93% |\n| 46 | Cambodia | Phnom Penh | 2,011,725 | | 13.29% |\n| 47 | Romania | Bucharest | 1,942,254 | | 9.73% |\n| 48 | Venezuela | Caracas | 1,838,939 | | 6.05% |\n| 49 | Congo | Brazzaville | 1,827,000 | 2014 | 39.19% |\n| 50 | Morocco | Rabat | 1,789,635 | | 5.42% |\n| 51 | Austria | Vienna | 1,749,673 | 2013 | 20.65% |\n| 52 | Sudan | Khartoum | 1,740,661 | | 4.59% |\n| 53 | Hungary | Budapest | 1,729,040 | 2011 | 17.34% |\n| 54 | Poland | Warsaw | 1,711,324 | 2012 | 4.42% |\n| 55 | Belarus | Minsk | 1,702,061 | | 17.98% |\n| 56 | Uganda | Kampala | 1,659,600 | | 4.42% |\n| 57 | Ghana | Accra | 1,640,507 | | 6.33% |\n| 58 | Madagascar | Antananarivo | 1,613,375 | [unreliable source?] | 7.04% |\n| 59 | Lebanon | Beirut | 1,574,387 | | 35.25% |\n| 60 | Sweden | Stockholm | 1,515,017 | 2014 | 22.33% |\n| 61 | Ecuador | Quito | 1,504,991 | | 9.65% |\n| 62 | Zimbabwe | Harare | 1,487,028 | | 10.51% |\n| 63 | Qatar | Doha | 1,450,000 | | 66.85% |\n| 64 | Yemen | Sana'a | 1,431,649 | | 5.87% |\n| 65 | Guinea | Conakry | 1,399,981 | | 11.91% |\n| 66 | Malaysia | Kuala Lumpur | 1,381,830 | | 4.65% |\n| 67 | Uruguay | Montevideo | 1,369,797 | | 40.21% |\n| 68 | Zambia | Lusaka | 1,331,254 | | 9.16% |\n| 69 | Mali | Bamako | 1,289,626 | | 8.43% |\n| 70 | Czech Republic | Prague | 1,241,664 | 2011 | 11.83% |\n| 71 | Haiti | Port-au-Prince | 1,235,227 | | 11.97% |\n| 72 | Libya | Tripoli | 1,184,045 | | 19.09% |\n| 73 | Kuwait | Kuwait City | 1,171,880 | | 34.78% |\n| 74 | Serbia | Belgrade | 1,154,589 | | 16.12% |\n| 75 | Dominican Republic | Santo Domingo | 1,111,838 | 2010 | 11.10% |\n| 76 | Somalia | Mogadishu | 1,097,133 | | 10.45% |\n| 77 | Bulgaria | Sofia | 1,090,295 | | 15.02% |\n| 78 | Belgium | Brussels | 1,080,790 | | 9.65% |\n| 79 | Armenia | Yerevan | 1,080,487 | [unreliable source?] | 36.29% |\n| 80 | Mozambique | Maputo | 1,076,689 | | 4.17% |\n| 81 | Sierra Leone | Freetown | 1,070,200 | | 17.57% |\n| 82 | Ireland | Dublin | 1,173,179 | | 24.63% |\n| 83 | Georgia | Tbilisi | 1,044,993 | | 23.34% |\n| 84 | Senegal | Dakar | 1,030,594 | | 7.29% |\n| 85 | Kazakhstan | Astana | 1,029,556 | 2017 | 5.67% |\n| 86 | Guatemala | Guatemala City | 1,022,000 | 2001 | 8.90% |\n| 87 | Liberia | Monrovia | 1,010,970 | | 23.54% |\n| 88 | Burkina Faso | Ouagadougou | 1,005,231 | | 5.94% |\n| 89 | Nepal | Kathmandu | 1,003,285 | 2011 | 3.69% |\n| 90 | Pakistan | Islamabad | 955,629 | | 0.48% |\n| 91 | Canada | Ottawa | 934,243 | 2016 | 2.55% |\n| 92 | - | Hewler | 932,800 | 2018 | 15% |\n| 93 | Nicaragua | Managua | 926,883 | | 15.24% |\n| 94 | Myanmar | Naypyidaw | 925,000 | | 1.74% |\n| 95 | Mongolia | Ulaanbaatar | 907,802 | | 31.98% |\n| 96 | Malawi | Lilongwe | 902,388 | | 5.52% |\n| 96 | Bolivia | La Paz | 877,363 | | 8.22% |\n| 97 | Kyrgyzstan | Bishkek | 843,240 | | 14.74% |\n| 99 | Togo | Lomé | 824,738 | | 12.10% |\n| 100 | Panama | Panama City | 813,097 | | 21.04% |\n| 101 | Netherlands | Amsterdam | 855,965 | | 4.97% |\n| 102 | Croatia | Zagreb | 804,200 | | 18.91% |\n| 103 | Oman | Muscat | 797,000 | | 21.94% |\n| 104 | Niger | Niamey | 794,814 | | 4.46% |\n| 105 | Moldova | Chişinău | 794,800 | | 22.33% |\n| 106 | Israel | Jerusalem | 780,200 | | 9.68% |\n| 107 | Nigeria | Abuja | 778,567 | | 0.45% |\n| 108 | Albania | Tirana | 763,634 | | 27.53% |\n| 109 | Tunisia | Tunis | 767,629 | | 7.05% |\n| 110 | Turkmenistan | Ashgabat | 763,537 | | 14.57% |\n| 111 | Chad | N'Djamena | 751,288 | | 5.86% |\n| 112 | Honduras | Tegucigalpa | 735,982 | | 9.09% |\n| 113 | Central African Republic | Bangui | 731,548 | | 14.79% |\n| 114 | Mauritania | Nouakchott | 719,167 | | 18.49% |\n| 115 | Rwanda | Kigali | 718,414 | | 6.10% |\n| 116 | Latvia | Riga | 713,016 | | 35.42% |\n| 117 | Jamaica | Kingston | 701,063 | | 25.82% |\n| 118 | United States | Washington, D.C. | 658,893 | 2014 | 0.21% |\n| 119 | Norway | Oslo | 645,701 | 2013 | 12.70% |\n| 120 | Finland | Helsinki | 635,591 | 2016 | 11.55% |\n| 121 | United Arab Emirates | Abu Dhabi | 585,097 | | 6.27% |\n| 122 | Tajikistan | Dushanbe | 582,496 | | 7.10% |\n| 123 | Portugal | Lisbon | 564,657 | | 5.40% |\n| 124 | Denmark | Copenhagen | 562,253 | | 10.02% |\n| 125 | Lithuania | Vilnius | 556,723 | | 18.83% |\n| 126 | Gabon | Libreville | 556,425 | | 33.28% |\n| 127 | Eritrea | Asmara | 1,258,001 | | 5.20% |\n| 128 | El Salvador | San Salvador | 521,366 | | 8.22% |\n| 129 | North Macedonia | Skopje | 521,000 | | 25% |\n| 130 | Paraguay | Asunción | 520,722 | | 7.66% |\n| 131 | Macau (China) | Macau | 520,400 | | 100% |\n| 132 | Scotland | Edinburgh | 492,680 | | 9.30% |\n| 133 | Djibouti | Djibouti (city) | 475,332 | | 54.45% |\n| 134 | Côte d'Ivoire | Yamoussoukro | 454,929 | | 2.24% |\n| 135 | Guinea-Bissau | Bissau | 452,640 | | 26.56% |\n| 136 | Estonia | Tallinn | 440,206 | | 33.22% |\n| 137 | Slovakia | Bratislava | 424,207 | | 7.84% |\n| 138 | Puerto Rico (US) | San Juan | 421,356 | | 12.37% |\n| 139 | New Zealand | Wellington | 405,000 | 2015 | 8.66% |\n| 140 | Bosnia and Herzegovina | Sarajevo | 395,133 | 2013 | 11.19% |\n| 141 | South Sudan | Juba | 372,410 | | 3.30% |\n| 142 | Australia | Canberra | 354,644 | | 1.53% |\n| 143 | Wales | Cardiff | 346,100 | | 11.30% |\n| 144 | Northern Ireland | Belfast | 333,871 | | 18.44% |\n| 145 | Costa Rica | San José | 328,195 | | 6.74% |\n| 146 | Papua New Guinea | Port Moresby | 299,396 | [unreliable source?] | 4.09% |\n| 147 | Laos | Vientiane | 287,579 | | 4.25% |\n| 148 | Tanzania | Dodoma | 287,200 | 2002 est. | 0.80% |\n| 149 | Lesotho | Maseru | 267,652 | | 12.91% |\n| 150 | Cyprus | Nicosia (south) | 270,000 | late 2004 | 26.57% |\n| 151 | Slovenia | Ljubljana | 280,140 | | 13.60% |\n| 152 | Suriname | Paramaribo | 254,147 | | 47.13% |\n| 153 | Namibia | Windhoek | 252,721 | | 10.97% |\n| 154 | Bahamas | Nassau | 248,948 | | 65.97% |\n| 155 | Botswana | Gaborone | 225,656 | | 11.17% |\n| 156 | Benin | Porto-Novo | 223,552 | | 2.17% |\n| 157 | Kosovo | Prishtina | 198,214 | | 10.32% |\n| 158 | Sahrawi Arab Democratic Republic | El Aaiún (claimed) Tifariti (factual) | 194,668 3,000 | 2009 | -- |\n| 159 | Transnistria | Tiraspol | 159,163 | | 28.53% |\n| 160 | Mauritius | Port Louis | 147,251 | | 12.28% |\n| 161 | Montenegro | Podgorica | 141,854 | | 22.83% |\n| 162 | Bahrain | Manama | 140,616 | | 10.56% |\n| 163 | Guyana | Georgetown | 134,599 | | 16.83% |\n| 164 | Cape Verde | Praia | 125,464 | | 25.15% |\n| 165 | Switzerland | Berne (de facto) | 121,631 | | 1.51% |\n| 166 | Sri Lanka | Colombo | 118,556 | | 0.58% |\n| 167 | Iceland | Reykjavík | 115,000 | | 35.60% |\n| 168 | Barbados | Bridgetown | 110,000 | | 39.06% |\n| 169 | Maldives | Malé | 103,693 | | 30.05% |\n| 170 | Bhutan | Thimphu | 101,259 | | 13.43% |\n| 171 | Equatorial Guinea | Malabo | 100,677 | | 13.30% |\n| 172 | New Caledonia (France) | Nouméa | 89,207 | | 32.03% |\n| 173 | Northern Cyprus | Nicosia (north) | 84,893 | | 18.83% |\n| 174 | Fiji | Suva | 84,410 | | 9.58% |\n| 175 | Eswatini (Swaziland) | Mbabane | 81,594 | | 6.53% |\n| 176 | Luxembourg | Luxembourg | 76,420 | | 14.07% |\n| 177 | Saint Lucia | Castries | 70,000 | | 38.40% |\n| 178 | Northern Mariana Islands (USA) | Saipan | 62,392 (2000) | | 100% |\n| 179 | Comoros | Moroni | 60,200 | | 8.19% |\n| 180 | Solomon Islands | Honiara | 59,288 | | 10.56% |\n| 181 | East Timor | Dili | 59,069 | | 5.01% |\n| 182 | São Tomé and Príncipe | São Tomé | 56,166 | | 29.10% |\n| 183 | American Samoa (USA) | Pago Pago | 52,000 (2003) | | 6.57% |\n| 184 | Trinidad and Tobago | Port of Spain | 50,479 | | 3.76% |\n| 185 | Nagorno-Karabakh Republic | Stepanakert | 49,986 | | 36.57% |\n| 186 | Curaçao (Netherlands) | Willemstad | 49,885 | | 93.74% |\n| 187 | Saint Vincent and the Grenadines | Kingstown | 40,020 | | 36.59% |\n| 188 | Samoa | Apia | 39,813 | | 20.91% |\n| 189 | Vanuatu | Port Vila | 38,000 | | 15.03% |\n| 190 | Monaco | Monaco | 35,986 | 2011 est. | 100% |\n| 191 | Gambia | Banjul | 34,828 | | 1.88% |\n| 192 | Kiribati | Tarawa | 30,000 | | 29.31% |\n| 193 | Aruba (Netherlands) | Oranjestad | 29,998 | | -- |\n| 194 | Seychelles | Victoria | 29,298 | | 32.86% |\n| 195 | Gibraltar (UK) | Gibraltar | 29,286 | | -- |\n| 196 | Jersey (UK) | Saint Helier | 28,380 | | -- |\n| 197 | Brunei | Bandar Seri Begawan | 28,135 | | 6.73% |\n| 198 | Cayman Islands (UK) | George Town | 26,798 | | 41.1% |\n| 199 | Isle of Man (UK) | Douglas | 26,600 | | -- |\n| 200 | French Polynesia (France) | Papeete | 26,200 | | -- |\n| 201 | Palestine | Ramallah (de facto) | 25,500 | | 0.53% |\n| 202 | Marshall Islands | Majuro | 25,400 | | 48.26% |\n| 203 | Burundi | Gitega | 23,000 | 2012 | 0.22% |\n| 204 | Andorra | Andorra la Vella | 22,884 | | 28.89% |\n| 205 | Antigua and Barbuda | St. John's | 22,679 | | 25.20% |\n| 206 | Tonga | Nukuʻalofa | 22,400 | | 21.27% |\n| 207 | Faroe Islands (Denmark) | Tórshavn | 18,573 | | -- |\n| 208 | Guernsey (UK) | St. Peter Port | 16,701 | | -- |\n| 209 | Belize | Belmopan | 16,451 | | 4.96% |\n| 210 | Greenland (Denmark) | Nuuk (Godthåb) | 15,469 | | 31.85% |\n| 211 | Dominica | Roseau | 14,847 | | 20.62% |\n| 212 | Saint Kitts and Nevis | Basseterre | 13,043 | | 24.07% |\n| 213 | Åland (Finland) | Mariehamn | 11,296 | | -- |\n| 214 | United States Virgin Islands (US) | Charlotte Amalie | 10,817 | | -- |\n| 215 | Federated States of Micronesia | Palikir | 9,900 | | 9.56% |\n| 216 | British Virgin Islands (UK) | Road Town | 9,400 | | -- |\n| 217 | Grenada | St. George's | 7,500 | | 7.08% |\n| 218 | Malta | Valletta | 6,444 | 2014 | 1.45% |\n| 219 | - | Gustavia | 6,000 | | -- |\n| 220 | - | Marigot | 5,700 | | -- |\n| 221 | - | Saint-Pierre | 5,509 | | -- |\n| 222 | Cook Islands (NZ) | Avarua | 5,445 | | -- |\n| 223 | Liechtenstein | Vaduz | 5,248 | | 14.21% |\n| 224 | San Marino | City of San Marino | 4,493 | | -- |\n| 225 | Tuvalu | Funafuti | 4,492 | | 45.48% |\n| 226 | Turks and Caicos Islands (UK) | Cockburn Town | 3,700 | | -- |\n| 227 | Falkland Islands (UK) | Stanley | 2,115 | | -- |\n| 228 | Svalbard (Norway) | Longyearbyen | 2,075 | | -- |\n| 229 | Christmas Island (Australia) | Flying Fish Cove | 1,493 | | -- |\n| 230 | Sint Maarten (Netherlands) | Philipsburg | 1,338 | | -- |\n| 231 | - | Mata-Utu | 1,191 | | -- |\n| 232 | Anguilla (UK) | The Valley | 1,169 | | -- |\n| 233 | Nauru | Yaren (de facto) | 1,100 | | 10.91% |\n| 234 | Guam (US) | Hagåtña | 1,100 | | -- |\n| 235 | Montserrat (UK) | Brades (de facto) | 391 | | -- |\n| 236 | Bermuda (UK) | Hamilton | 1,010 | | -- |\n| 237 | Norfolk Island (Australia) | Kingston | 880 | [unreliable source?] | -- |\n| 238 | Vatican City | Vatican City (city-state) | 826 (2009 est.) | | 100% |\n| 239 | Saint Helena (UK) | Jamestown | 714 | | -- |\n| 240 | Niue (NZ) | Alofi | 616 | | -- |\n| 241 | Tokelau (NZ) | Atafu | 524 | | 34.96% |\n| 242 | Palau | Ngerulmud | 391 | | 1.87% |\n| 243 | Cocos (Keeling) Islands (Australia) | West Island | 120 | | 22.06% |\n| 244 | Pitcairn Islands (UK) | Adamstown | 56 | | 100% |\n| 245 | South Georgia and the South Sandwich Islands (UK) | King Edward Point | 18 | | 100% |" + } + ] + }, + { + "id": "table_recognition_train_item_54268", + "image": "table_instructV/images/TabFact_2-1590321-70.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| rank | name | years | matches | goals |\n| --- | --- | --- | --- | --- |\n| 1 | jimmy greaves | 1957 - 1971 | 516 | 357 |\n| 2 | steve bloomer | 1892 - 1910 | 536 | 317 |\n| 3 | dixie dean | - 1925 - 1930 , 1931 - 1937 - 1937 | 362 | 310 |\n| 4 | gordon hodgson | 1925 - 1939 | 454 | 288 |\n| 5 | alan shearer | 1987 - 1988 , 1989 - 2006 | 559 | 283 |\n| 6 | charlie buchan | 1910 - 1915 , 1919 - 1928 | 482 | 258 |\n| 7 | nat lofthouse | 1946 - 1959 , 1960 - 1961 | 452 | 255 |\n| 8 | joe bradford | 1921 - 1935 | 410 | 248 |\n| 9 | hughie gallacher | 1925 - 1936 , 1937 - 1938 | 355 | 246 |\n| 10 | joe smith | 1911 - 1915 , 1919 - 1927 | 410 | 243 |" + } + ] + }, + { + "id": "table_recognition_train_item_33412", + "image": "table_instructV/images/TABMWP_29086.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $625 | 18,800 | 13,300 |\n| $655 | 15,800 | 14,900 |\n| $685 | 12,800 | 16,500 |\n| $715 | 9,800 | 18,100 |\n| $745 | 6,800 | 19,700 |" + } + ] + }, + { + "id": "table_recognition_train_item_64908", + "image": "table_instructV/images/TabFact_2-12962773-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| player | height | position | year born | current club |\n| --- | --- | --- | --- | --- |\n| miguel minhava | 1 , 97 | guard | 1983 | cb l'hospitalet |\n| mário gil fernandes | 1 , 74 | guard | 1982 | cb plasencia |\n| sérgio ramos | 2 , 00 | forward | 1975 | drac inca |\n| paulo cunha | 1 , 99 | forward | 1980 | fc porto |\n| francisco jordão | 2 , 00 | center | 1979 | 1 de agosto |\n| filipe da silva | 1 , 93 | guard | 1979 | cb villa de los barrios |\n| joão betinho gomes | 1 , 99 | forward | 1985 | fc barreirense |\n| jorge coelho | 2 , 00 | center | 1978 | cb palencia |\n| paulo simão | 1 , 98 | forward | 1976 | cf belenenses |\n| elvis évora | 2 , 05 | center | 1978 | ovarense aerosoles |\n| miguel miranda | 2 , 05 | center | 1978 | ovarense aerosoles |\n| joão santos | 2 , 03 | forward | 1979 | grupo capitol valladolid |" + } + ] + }, + { + "id": "table_recognition_train_item_50116", + "image": "table_instructV/images/TAT-QA_d2647217-3696-4ec0-ad69-a3db3626c707.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| (In millions) | 2019 | 2018 | 2017 | Location of Amount Reclassified from AOCL |\n| --- | --- | --- | --- | --- |\n| Defined benefit pension plans and other post-employment benefits: | | | | |\n| Prior service credits | $ 0.1 | $0.3 | $ 1.3 | |\n| Actuarial losses | (4.9) | (3.1) | (10.0) | |\n| Total pre-tax amount | (4.8) | (2.8) | (8.7) | Other (expense) income, net |\n| Tax benefit | 1.2 | 0.7 | 2.5 | |\n| Net of tax | (3.6) | (2.1) | (6.2) | |\n| Net gains (losses) on cash flow hedging derivatives:(1) | | | | |\n| Foreign currency forward contracts | 1.6 | 0.2 | 0.9 | Cost of sales |\n| Interest rate and currency swaps | — | — | (3.4) | |\n| Treasury locks | 0.1 | 0.1 | 0.1 | Interest expense, net |\n| Total pre-tax amount | 1.7 | 0.3 | (2.4) | |\n| Tax (expense) benefit | (0.6) | (0.1) | 0.8 | |\n| Net of tax | 1.1 | 0.2 | (1.6) | |\n| Total reclassifications for the period | (2.5 ) | (1.9 ) | (7.8 ) | |" + } + ] + }, + { + "id": "table_recognition_train_item_33122", + "image": "table_instructV/images/TABMWP_26037.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 15 | 14 |\n| 16 | 12 |\n| 17 | 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_30912", + "image": "table_instructV/images/TABMWP_2014.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | Yellowtail | Salmon |\n| --- | --- | --- |\n| Not spicy | 3 | 3 |\n| A little spicy | 3 | 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_106703", + "image": "table_instructV/images/ToTTo_train_table_28184.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Chart (2010) | Peak position |\n| --- | --- |\n| Metropolis Chart (Portugal) | 152 |" + } + ] + }, + { + "id": "table_recognition_train_item_58346", + "image": "table_instructV/images/TabFact_2-17252382-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| season | zone | champion | second | third | top scorer |\n| --- | --- | --- | --- | --- | --- |\n| 1995 - 96 | 1 | pokuttia kolomyia | mebilnyk chernivtsi | karpaty rakhiv | andriy chachkin zoria khorostkiv - 7 |\n| 1995 - 96 | 2 | zoria khorostkiv | enko lutsk | sokil radyvyliv | andriy chachkin zoria khorostkiv - 7 |\n| 1995 - 96 | 3 | paperovyk malyn | lokomotyv smila | budivelnyk brovary | andriy chachkin zoria khorostkiv - 7 |\n| 1995 - 96 | 4 | fakel varva | elektron romny | avanhard merefa | andriy chachkin zoria khorostkiv - 7 |\n| 1995 - 96 | 5 | avanhard kramatorsk | shakhtar rovenky | budivelnyk kryvyi rih | andriy chachkin zoria khorostkiv - 7 |\n| 1995 - 96 | 6 | portovyk kerch | kolos osokorivka | blaho blahoyeve | andriy chachkin zoria khorostkiv - 7 |\n| 1994 - 95 | 1 | khimik kalush | yalynka velykyi bychkiv | pokuttia kolomyia | vasyl lomaka shakhtar sverdlovsk - 30 |\n| 1994 - 95 | 2 | haray zhovkva | zoria khorostkiv | probiy horodenka | vasyl lomaka shakhtar sverdlovsk - 30 |\n| 1994 - 95 | 3 | obolon - zmina kyiv | dynamo - 3 kyiv | ahroservis bakhmach | vasyl lomaka shakhtar sverdlovsk - 30 |\n| 1994 - 95 | 4 | sportinvest kryvyi rih | avanhard merefa | silur khartsyzk | vasyl lomaka shakhtar sverdlovsk - 30 |\n| 1994 - 95 | 5 | dynamo slavyansk | shakhtar sverdlovsk | metalurh kupyansk | vasyl lomaka shakhtar sverdlovsk - 30 |\n| 1994 - 95 | 6 | portovyk illichivsk | olimpia fc aes yuzhnoukrainsk | mercury pervomaysk | vasyl lomaka shakhtar sverdlovsk - 30 |\n| 1993 - 94 | 1 | laz lviv | lada chernivtsi | pokuttia kolomyia | oleksandr dovhalets advis khmelnytskyi - 27 |\n| 1993 - 94 | 2 | advis khmelnytskyi | keramik baranivka | obolon - zmina kyiv | oleksandr dovhalets advis khmelnytskyi - 27 |\n| 1993 - 94 | 3 | transimpeks vyshneve | sula lubny | ahroservis bakhmach | oleksandr dovhalets advis khmelnytskyi - 27 |\n| 1993 - 94 | 4 | avanhard rovenky | vahbud kremenchuk | krystal torez | oleksandr dovhalets advis khmelnytskyi - 27 |\n| 1993 - 94 | 5 | metalurh novomoskovsk | shakhtar horlivka | shakhtar sverdlovsk | oleksandr dovhalets advis khmelnytskyi - 27 |\n| 1993 - 94 | 6 | tavria novotroitsk | dnistrovets bilhorod - dnistrovsky | blaho blahoyeve | oleksandr dovhalets advis khmelnytskyi - 27 |\n| 1992 - 1993 | 1 | beskyd nadvirna | khimik kalush | lada chernivtsi | serhiy akymenko shakhtar snizhne - 23 |\n| 1992 - 1993 | 2 | khutrovyk tysmenytsia | advis khmelnytskyi | lokomotyv rivne | serhiy akymenko shakhtar snizhne - 23 |\n| 1992 - 1993 | 3 | hart borodianka | keramik baranivka | dynamo - 3 kyiv | serhiy akymenko shakhtar snizhne - 23 |\n| 1992 - 1993 | 4 | sirius zhovti vody | avanhard rovenky | vahbud kremenchuk | serhiy akymenko shakhtar snizhne - 23 |\n| 1992 - 1993 | 5 | oskil kupyansk | shakhtar sverdlovsk | shakhtar snizhne | serhiy akymenko shakhtar snizhne - 23 |\n| 1992 - 1993 | 6 | surozh sudak | tavria novotroitsk | blaho blahoyeve | serhiy akymenko shakhtar snizhne - 23 |" + } + ] + }, + { + "id": "table_recognition_train_item_57110", + "image": "table_instructV/images/TabFact_1-22460085-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| character | original manchester performer | original west end performer | original broadway performer | original uk tour performer | original non - equity us tour performer | original italian tour performer | original south korean performer |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| sam wheat | richard fleeshman | richard fleeshman | richard fleeshman | stewart clarke | steven grant douglas | salvatore palombi | joo won |\n| molly jensen | caissie levy | caissie levy | caissie levy | rebecca trehearn | katie postotnik | ilaria de angelis | ivy |\n| oda mae brown | sharon d clarke | sharon d clarke | da™vine joy randolph | wendy mae brown | carla r stewart | loretta grace | tba |\n| carl bruner | andrew langtree | andrew langtree | bryce pinkham | david roberts | robby haltiwanger | cristian ruiz | tba |\n| willie lopez | ivan de freitas | ivan de freitas | michael balderrama | ivan de freitas | fernando contreras | davide paciolla | tba |\n| subway ghost | adebayo bolaji | adebayo bolaji | tyler mcgee | stevie hutchinson | brandon lashawn curry | riccardo ballerini | tba |\n| hospital ghost | mark pearce | mark white | lance roberts | n / a | n / a | sebastiano vinci | n / a |\n| clara | lisa davina phillip | lisa davina phillip | moya angela | karlene wray | evette white | dapheny oosterwolde | tba |" + } + ] + }, + { + "id": "table_recognition_train_item_114395", + "image": "table_instructV/images/Rotowire_train_table_1540.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pelicans | New Orleans | 105 | 20 | 25 | 37 | 23 | 23 | 46 | 12 | 43 | 63 | 41 | 18 | 28 | | | | |\n| Thunder | Oklahoma City | 114 | 33 | 31 | 28 | 22 | 24 | 55 | 16 | 46 | 71 | 37 | 27 | 19 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pelicans | | | | | | | | | | | | | | | | | | |\n| E'Twaun Moore | 28 | 18 | 7 | 2 | 6-9 | 67% | 2-3 | 67% | 4-4 | 100% | 1 | 0 | 1 | 2 | 5 | 2 | N/A | New Orleans |\n| Tyreke Evans | 22 | 14 | 5 | 9 | 5-11 | 46% | 1-3 | 33% | 3-6 | 50% | 1 | 2 | 0 | 0 | 5 | 3 | N/A | New Orleans |\n| Solomon Hill | 28 | 14 | 8 | 2 | 6-10 | 60% | 2-4 | 50% | 0-0 | 0% | 0 | 1 | 2 | 3 | 5 | 2 | F | New Orleans |\n| Jrue Holiday | 32 | 14 | 2 | 8 | 6-11 | 55% | 2-4 | 50% | 0-0 | 0% | 4 | 4 | 1 | 1 | 1 | 2 | G | New Orleans |\n| Terrence Jones | 27 | 12 | 4 | 1 | 6-17 | 35% | 0-1 | 0% | 0-1 | 0% | 1 | 0 | 1 | 2 | 2 | 2 | F | New Orleans |\n| Donatas Motiejunas | 17 | 10 | 4 | 0 | 4-6 | 67% | 1-2 | 50% | 1-2 | 50% | 0 | 2 | 0 | 0 | 4 | 5 | N/A | New Orleans |\n| Anthony Davis | 16 | 8 | 5 | 0 | 2-8 | 25% | 0-0 | 0% | 4-6 | 67% | 0 | 2 | 1 | 0 | 5 | 2 | C | New Orleans |\n| Dante Cunningham | 25 | 7 | 6 | 0 | 3-5 | 60% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 3 | 1 | 5 | 1 | N/A | New Orleans |\n| Buddy Hield | 23 | 5 | 3 | 1 | 2-10 | 20% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 1 | G | New Orleans |\n| Langston Galloway | 18 | 3 | 2 | 0 | 1-9 | 11% | 1-5 | 20% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | New Orleans |\n| Omer Asik | 4 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 2 | N/A | New Orleans |\n| Alexis Ajinca | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| Tim Frazier | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Russell Westbrook | 36 | 27 | 12 | 10 | 7-22 | 32% | 4-9 | 44% | 9-12 | 75% | 1 | 8 | 1 | 1 | 11 | 3 | G | Oklahoma City |\n| Steven Adams | 32 | 20 | 11 | 3 | 9-15 | 60% | 0-0 | 0% | 2-4 | 50% | 1 | 4 | 4 | 5 | 6 | 2 | C | Oklahoma City |\n| Enes Kanter | 21 | 17 | 11 | 2 | 6-13 | 46% | 0-0 | 0% | 5-5 | 100% | 0 | 1 | 0 | 3 | 8 | 1 | N/A | Oklahoma City |\n| Victor Oladipo | 35 | 15 | 4 | 2 | 5-11 | 46% | 3-7 | 43% | 2-3 | 67% | 2 | 1 | 2 | 0 | 4 | 1 | G | Oklahoma City |\n| Alex Abrines | 18 | 11 | 0 | 0 | 4-5 | 80% | 2-2 | 100% | 1-1 | 100% | 1 | 0 | 1 | 0 | 0 | 3 | N/A | Oklahoma City |\n| Domantas Sabonis | 28 | 8 | 6 | 0 | 4-7 | 57% | 0-2 | 0% | 0-1 | 0% | 0 | 1 | 0 | 1 | 5 | 4 | F | Oklahoma City |\n| Andre Roberson | 28 | 8 | 4 | 1 | 4-5 | 80% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 3 | 1 | 3 | 0 | F | Oklahoma City |\n| Cameron Payne | 12 | 5 | 0 | 3 | 2-6 | 33% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Oklahoma City |\n| Joffrey Lauvergne | 10 | 2 | 2 | 2 | 1-5 | 20% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Oklahoma City |\n| Jerami Grant | 20 | 1 | 5 | 1 | 0-2 | 0% | 0-1 | 0% | 1-2 | 50% | 0 | 1 | 0 | 1 | 4 | 3 | N/A | Oklahoma City |\n| Anthony Morrow | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Nick Collison | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Kyle Singler | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |" + } + ] + }, + { + "id": "table_recognition_train_item_34648", + "image": "table_instructV/images/TABMWP_9055.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $285 | 18,200 | 5,800 |\n| $385 | 14,700 | 6,400 |\n| $485 | 11,200 | 7,000 |\n| $585 | 7,700 | 7,600 |\n| $685 | 4,200 | 8,200 |" + } + ] + }, + { + "id": "table_recognition_train_item_49312", + "image": "table_instructV/images/TAT-QA_56dcaa45-660c-406c-be71-9c3e6869db8a.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| | | | Fair Value Measurements at Reporting Date Using | |\n| --- | --- | --- | --- | --- |\n| | December 31, 2019 | Quoted Prices in Active Markets for Identical Assets (Level 1) | Significant Other Observable Inputs (Level 2) | Significant Unobservable Inputs (Level 3) |\n| Assets: | | | | |\n| Cash equivalents: | | | | |\n| Money market funds . | $7,322 | $7,322 | $ — | $ — |\n| Marketable securities: | | | | |\n| Foreign debt | 387,820 | — | 387,820 | — |\n| Foreign government obligations | 22,011 | — | 22,011 | — |\n| U.S. debt . | 66,134 | — | 66,134 | — |\n| Time deposits . | 335,541 | 335,541 | — | — |\n| Restricted investments . | 223,785 | — | 223,785 | — |\n| Derivative assets . | 1,338 | — | 1,338 | — |\n| Total assets . | $ 1,043,951 | $ 342,863 | $ 701,088 | $ — |\n| Liabilities: | | | | |\n| Derivative liabilities | $ 10,021 | $ — | $ 10,021 | $ — |" + } + ] + }, + { + "id": "table_recognition_train_item_101349", + "image": "table_instructV/images/ToTTo_train_table_5682.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Date | District | Ward | Candidate | Votes | % |\n| --- | --- | --- | --- | --- | --- |\n| 22 May 2014 | Reading Borough Council | Battle | Jean-Louis Pascual | 43 | 2.0 |" + } + ] + }, + { + "id": "table_recognition_train_item_107873", + "image": "table_instructV/images/ToTTo_train_table_33022.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| Name | Nationality | Position | Gillingham career | Appearances | Goals | Notes |\n| --- | --- | --- | --- | --- | --- | --- |\n| Ron Hillyard | England | GK | 1974–1991 | 655 | 0 | |\n| John Simpson | England | GK | 1957–1972 | 616 | 0 | |\n| Mark Weatherly | England | FW/DF | 1974–1989 | 543 | 55 | |\n| Jimmy Boswell | England | MF | 1946–1958 | 523 | 13 | |\n| Charlie Marks | England | DF | 1943–1957 | 434 | 10 | |\n| Dick Tydeman | England | MF | 1969–1977 1981–1984 | 419 | 18 | |\n| Paul Smith | England | MF | 1997–2005 2005–2006 | 396 | 26 | |\n| Jock Robertson | England | DF | 1919–1933 | 395 | 1 | |\n| Brian Yeo | England | FW | 1963–1975 | 387 | 149 | |\n| Nicky Southall | England | DF/MF | 1997–2001 2002–2005 2007–2009 2010–2012 | 379 | 30 | |\n| Andy Hessenthaler | England | MF | 1996–2006 | 363 | 36 | |\n| Damien Richardson | Ireland | FW | 1972–1981 | 357 | 102 | |\n| Dennis Hunt | England | DF | 1958–1968 | 355 | 6 | |\n| Barry Ashby | England | DF | 1997–2005 | 319 | 10 | |\n| Ken Price | England | FW | 1976–1983 | 294 | 89 | |\n| Brian Gibbs | England | FW | 1962–1969 | 284 | 110 | |\n| Dave Galvin | England | DF | 1969–1977 | 276 | 20 | |\n| Steve Lovell | Wales | FW | 1986–1993 | 275 | 104 | |\n| Graham Knight | England | DF | 1970–1979 | 274 | 10 | |\n| Jack Mahon | unknown | MF | 1909–1920 | 271 | 5 | |\n| Tony Cascarino | Ireland | FW | 1981–1987 | 269 | 110 | |\n| Chris Hope | England | DF | 2000–2006 | 264 | 15 | |\n| Dave Quirke | Ireland | DF | 1967–1974 | 254 | 3 | |\n| Neil Smith | England | MF | 1991–1997 | 253 | 15 | |\n| Tug Wilson | England | FW | 1936–1949 | 253 | 113 | |\n| Richard Green | England | DF | 1991–1998 | 251 | 17 | |\n| John Meredith | England | FW | 1963–1969 | 251 | 7 | |\n| Danny Westwood | England | FW | 1975–1982 | 238 | 77 | |\n| Steve Bruce | England | DF | 1979–1984 | 237 | 37 | |\n| John Sharpe | England | DF | 1978–1985 | 232 | 2 | |\n| Stuart Nelson | England | GK | 2012–2018 | 223 | 0 | |\n| Cody McDonald | England | FW | 2010–2011 2013 2013–2017 | 223 | 81 | |\n| Vince Bartram | England | GK | 1997–2004 | 222 | 0 | |\n| Gordon Pulley | England | FW | 1958–1966 | 222 | 51 | |\n| Harry Hughes | England | DF | 1958–1963 | 221 | 16 | |\n| George Forrester | England | MF | 1947–1955 | 221 | 36 | |\n| Alec Farrall | England | MF | 1960–1965 | 220 | 21 | |\n| Bill Parry | Wales | DF | 1955–1961 | 220 | 4 | |\n| Fred Lester | England | DF | 1931–1937 | 211 | 0 | |\n| Hughie Russell | England | FW | 1946–1952 | 209 | 120 | |\n| Tommy Hall | England | FW | 1920–1926 | 207 | 55 | |\n| Mark Saunders | England | MF | 1998–2006 | 206 | 18 | |\n| John Overton | England | DF | 1976–1981 | 205 | 11 | |\n| David Peach | England | DF | 1969–1974 | 205 | 31 | |\n| Terry Nicholl | England | MF | 1976–1981 | 204 | 12 | |\n| John Arnott | England | MF | 1962–1968 | 204 | 3 | |\n| Ron Lewin | England | DF | 1950–1955 | 204 | 1 | |\n| John Crabbe | England | MF | 1976–1981 | 203 | 14 | |\n| Tommy Rigg | England | GK | 1951–1956 | 201 | 0 | |\n| Nyron Nosworthy | England | DF/FW | 1998–2005 | 199 | 6 | |\n| Adrian Pennock | England | DF | 1996–2003 | 199 | 4 | |\n| Andrew Crofts | Wales | MF | 2001–2009 2016 | 197 | 19 | |\n| Karl Elsey | Wales | MF/DF | 1985–1988 1991–1992 | 196 | 19 | |\n| Mark Bentley | England | MF | 2006–2011 | 195 | 15 | |\n| Paul Haylock | England | DF | 1986–1990 | 194 | 1 | |\n| Guy Butters | England | DF | 1996–2002 | 193 | 17 | |\n| Tommy Kingsnorth | England | DF | 1946–1951 | 192 | 11 | |\n| Mark O'Connor | England | MF | 1989–1993 1995–1997 | 188 | 10 | |\n| Bill Williams | England | DF | 1967–1972 | 188 | 8 | |\n| Danny Spiller | England | MF | 2001–2007 2010–2012 | 187 | 10 | |\n| Bradley Dack | England | MF | 2012–2017 | 185 | 38 | |\n| Les Riggs | England | MF | 1953–1958 1964–1966 | 182 | 6 | |\n| Jake Hessenthaler | England | MF | 2013–2018 | 181 | 9 | |\n| Ray Bailey | England | MF | 1966–1971 | 180 | 10 | |\n| Jack Frettingham | England | FW | 1896–1903 | 180 | 76 | |\n| Joe Martin | England | DF | 2010–2015 | 179 | 8 | |\n| Tony Butler | England | DF | 1990–1996 | 179 | 7 | |\n| Tony Weston | England | DF | 1964–1970 | 179 | 3 | |\n| Danny Jackman | England | DF | 2005–2007 2009–2013 | 178 | 9 | |\n| Jackie Briggs | England | FW | 1946–1953 | 178 | 62 | |\n| Albert Collins | England | DF | 1929–1934 | 178 | 4 | |\n| Andrew Mosley | England | DF | 1910–1915 | 178 | 0 | |\n| Mel Machin | England | MF | 1966–1971 | 177 | 12 | |\n| George Jacks | England | MF | 1972–1976 | 174 | 21 | |\n| Roy Bethell | England | FW | 1929–1935 | 173 | 34 | |\n| Iffy Onuora | Scotland | FW | 1996–1998 1999–2002 | 172 | 55 | |\n| Peter Shaw | England | DF | 1981–1986 | 171 | 5 | |\n| Alan Wilks | England | FW | 1971–1976 | 171 | 34 | |\n| Alan Walker | England | DF | 1987–1992 | 170 | 16 | |\n| Curtis Weston | England | MF | 2008–2012 | 167 | 19 | |\n| Barry Fuller | England | DF | 2008–2012 2018– | 167 | 1 | |\n| Ian Cox | Trinidad and Tobago | DF | 2003–2008 | 167 | 6 | |\n| Wally Battiste | England | FW | 1920–1924 1930–1931 | 165 | 8 | |\n| Abel Lee | England | MF | 1911–1920 | 165 | 16 | |\n| Vic Niblett | England | DF | 1951–1956 | 164 | 0 | |\n| Ernie Morgan | England | FW | 1953–1957 | 163 | 77 | |\n| Dave Shipperley | England | DF | 1974–1978 | 160 | 11 | |\n| Mel Sage | England | DF | 1981–1986 | 159 | 7 | |\n| John Nutter | England | DF | 2007–2011 | 157 | 3 | |\n| Max Ehmer | Germany | DF | 2014–2015 2015– | 156 | 12 | |\n| Tom Leslie | Scotland | FW | 1919–1920 | 156 | 9 | |\n| Dave Mehmet | England | MF | 1982–1986 | 155 | 43 | |\n| Dave Whitelaw | England | GK | 1935–1939 | 154 | 0 | |\n| Roy Proverbs | England | DF | 1957–1962 | 153 | 2 | |\n| Paul Shaw | England | FW | 2000–2004 | 151 | 29 | |\n| George Lloyd | England | MF | 1903–1908 | 148 | 0 | |\n| Dennis Oli | England | FW | 2007–2012 | 147 | 15 | |\n| Mark Patterson | England | DF | 1997–2003 | 147 | 2 | |\n| Mike Green | England | DF | 1968–1971 | 147 | 28 | |\n| Joe Elliott | unknown | MF | 1902–1907 | 146 | 2 | |\n| Jimmy Scarth | England | FW | 1951–1955 | 145 | 25 | |\n| Lee Palmer | England | DF | 1987–1995 | 143 | 5 | |\n| Harry Ayres | England | MF | 1950–1955 | 143 | 2 | |\n| George Piper | England | MF | 1946–1951 | 142 | 7 | |\n| A.V. Bailey | unknown | GK | 1909–1915 | 142 | 0 | |\n| Arthur Johnson | unknown | MF | 1909–1915 | 142 | 5 | |\n| Richard Carpenter | England | MF | 1990–1997 | 141 | 5 | |\n| Paddy Sowden | England | FW | 1952–1956 | 140 | 28 | |\n| George Dorling | England | DF | 1947–1951 | 140 | 3 | |\n| Ronnie Bacon | England | FW | 1958–1961 | 139 | 15 | |\n| James Atherton | unknown | MF | 1898–1904 | 139 | 3 | |\n| Steve Butler | England | FW | 1995–1999 1999–2000 | 138 | 25 | |\n| Kenny Hill | England | DF | 1971–1977 | 138 | 8 | |\n| Jason Brown | Wales | GK | 2001–2006 | 137 | 0 | |\n| Billy Hughes | England | MF | 1975–1981 | 137 | 8 | |\n| Jock Taylor | Scotland | FW | 1909–1913 | 137 | 45 | |\n| Danny Kedwell | England | FW | 2011–2015 | 136 | 45 | |\n| Dean White | England | MF | 1978–1983 | 135 | 28 | |\n| Jack Hannaway | England | MF | 1957–1960 | 135 | 5 | |\n| Joe Dunne | Ireland | DF | 1990–1996 | 134 | 1 | |\n| Johnny Warsap | England | FW | 1945–1953 | 134 | 45 | |\n| Dave Smith | England | FW | 1986–1989 | 131 | 14 | |\n| Terry Cochrane | Northern Ireland | MF | 1983–1986 | 131 | 21 | |\n| George Needham | England | MF | 1920–1924 | 131 | 15 | |\n| Jim Stannard | England | GK | 1995–1999 | 128 | 0 | |\n| Joe Hinnigan | England | DF | 1984–1987 | 127 | 9 | |\n| Fred Maven | England | MF | 1905–1909 | 127 | 3 | |\n| Tom Holland | England | GK | 1932–1936 | 126 | 0 | |\n| Roland Edge | England | DF | 1998–2003 | 125 | 1 | |\n| Tim O'Shea | Ireland | DF | 1988–1992 | 125 | 2 | |\n| John Sitton | England | DF | 1981–1985 | 125 | 5 | |\n| Gordon Riddick | England | MF | 1966–1970 | 125 | 27 | |\n| Simon Ratcliffe | England | MF | 1995–1998 | 124 | 13 | |\n| George Kidd | Scotland | FW | 1932–1935 | 124 | 2 | |\n| Chris Whelpdale | England | MF | 2010 2011–2014 | 122 | 23 | |\n| Garry Richards | England | DF | 2008–2012 | 122 | 6 | |\n| Matt Jarvis | England | MF | 2003–2007 | 122 | 16 | |\n| Matt Bryant | England | DF | 1996–2000 | 122 | 0 | |\n| Martin Robinson | England | FW | 1984–1987 | 121 | 31 | |\n| A.H. Nobbs | unknown | DF | 1908–1912 | 121 | 0 | |\n| Gary Mulligan | Ireland | FW | 2005–2009 | 120 | 17 | |\n| Billy Manuel | England | MF | 1988–1991 1995–1997 | 120 | 4 | |\n| Mike Burgess | Canada | DF | 1962–1966 | 120 | 2 | |\n| Jimmy Watson | England | FW | 1935–1938 | 120 | 45 | |\n| Dave Shearer | Scotland | FW | 1984–1988 | 119 | 50 | |\n| Pat Terry | England | FW | 1958–1961 | 119 | 66 | |\n| Harry Randle | England | MF | 1934–1937 | 119 | 2 | |\n| Freddie Fox | England | GK | 1922–1925 | 119 | 0 | |\n| Andy Barcham | England | FW | 2008–2011 | 116 | 23 | |\n| Marlon King | Jamaica | FW | 2000–2004 | 116 | 47 | |\n| Bill Brown | England | FW | 1965–1968 | 116 | 34 | |\n| Simeon Jackson | Canada | FW | 2008–2010 | 115 | 42 | |\n| Mamady Sidibe | Mali | FW | 2002–2005 | 114 | 13 | |\n| Derek Woodley | England | FW | 1967–1971 | 114 | 9 | |\n| Frank Marshall | Scotland | FW | 1924–1927 | 114 | 20 | |\n| Jack Payne | England | DF | 2008–2013 | 113 | 6 | |\n| Gary Micklewhite | England | MF/DF | 1993–1996 | 113 | 4 | |\n| Howard Pritchard | Wales | MF | 1986–1988 | 113 | 23 | |\n| Ralph Miller | England | DF | 1965–1968 | 113 | 4 | |\n| Johnny Burke | Ireland | GK | 1947–1951 | 113 | 0 | |\n| Jack Beacham | England | MF | 1929–1932 | 113 | 1 | |\n| Fred Ellis | England | MF | 1925–1931 | 113 | 1 | |\n| Bill Armstrong | England | DF | 1936–1946 | 113 | 0 | |\n| Simon King | England | DF | 2007–2012 | 112 | 3 | |\n| Albert Court | unknown | FW | 1908–1914 | 112 | 36 | |\n| Charlie Lee | England | MF | 2010 2011–2014 | 111 | 11 | |\n| Paul Clark | England | DF | 1991–1994 | 111 | 2 | |\n| Norman Jones | England | MF | 1923–1927 | 111 | 3 | |\n| Simon Royce | England | GK | 2007–2010 | 109 | 0 | |\n| Leon Johnson | England | DF | 2002–2007 | 108 | 2 | |\n| Fred Brown | England | FW | 1923–1927 | 108 | 30 | |\n| Jack Reynolds | England | FW | 1908–1911 | 108 | 16 | |\n| Jeff Johnson | Wales | MF | 1982–1985 | 107 | 6 | |\n| Trevor Quow | England | MF | 1986–1989 | 106 | 5 | |\n| Keith Oakes | England | DF | 1984–1987 | 106 | 8 | |\n| Michael Flynn | Wales | MF | 2004–2007 | 105 | 21 | |\n| Harvey Lim | England | GK | 1989–1993 | 105 | 0 | |\n| Micky Adams | England | DF | 1979–1983 | 104 | 4 | |\n| Charlie Rackstraw | England | FW | 1964–1967 | 104 | 27 | |\n| Josh Wright | England | MF | 2009 2015–2017 | 103 | 15 | |\n| Dennis Bailey | England | FW | 1995–1998 | 103 | 13 | |\n| John Martin | unknown | DF/GK | 1905–1908 | 103 | 1 | |\n| Mark Byrne | Ireland | MF | 2016– | 102 | 7 | |\n| Gary Armstrong | England | DF | 1975–1980 1983–1984 | 102 | 2 | |\n| Ian Docker | England | MF | 1987–1991 | 101 | 3 | |\n| Colin Duncan | England | MF | 1979–1984 | 101 | 5 | |\n| Andy Smillie | England | FW | 1968–1971 | 101 | 9 | |\n| Ron Newman | England | FW | 1963–1966 | 101 | 22 | |\n| Cyril Poole | England | DF | 1945–1949 | 101 | 12 | |\n| David Crown | England | FW | 1990–1993 | 100 | 46 | |\n| Ted West | England | DF | 1954–1957 | 100 | 0 | |\n| Dave Thomas | England | FW | 1945–1946 1950–1953 | 100 | 61 | |\n| Dave Hutcheson | unknown | FW | 1894–1900 | 100 | 41 | |\n| Bill Floyd | England | DF | 1905–1908 | 99 | 0 | |\n| David Perpetuini | England | MF | 2001–2005 | 98 | 5 | |\n| George Bishop | Wales | MF | 1929–1932 | 98 | 0 | |\n| Jimmy Nichol | Scotland | MF | 1925–1927 1937 | 98 | 2 | |\n| Adam Miller | Northern Ireland | MF | 2007–2010 | 97 | 13 | |\n| Billy Millar | Scotland | FW | 1953–1956 | 97 | 38 | |\n| Arthur Pickett | England | FW | 1908–1911 | 96 | 20 | |\n| Adam Barrett | England | DF | 2012–2015 | 95 | 3 | |\n| Guy Ipoua | Cameroon | FW | 2000–2003 | 94 | 15 | |\n| Andy Arnott | England | FW | 1991–1996 | 94 | 13 | |\n| Tom Hopkins | England | MF | 1933–1937 | 94 | 2 | |\n| George Ley | England | DF | 1974–1976 | 93 | 3 | |\n| John Egan | Ireland | DF | 2014–2016 | 92 | 11 | |\n| Leon Legge | England | DF | 2013–2015 | 92 | 8 | |\n| Marcus Browning | Wales | MF | 1998–2002 | 92 | 3 | |\n| Billy Evans | England | FW | 1953–1955 | 92 | 12 | |\n| George Barrie | Scotland | DF | 1934–1937 | 92 | 1 | |\n| Bob Innes | Scotland | MF | 1898–1901 | 92 | 8 | |\n| Tony Eeles | England | MF | 1988–1993 | 91 | 5 | |\n| Carl Asaba | England | FW | 1998–2001 | 90 | 40 | |\n| Phil Kite | England | GK | 1986–1989 | 90 | 0 | |\n| Tom Strang | unknown | MF | 1909–1912 | 90 | 1 | |\n| Geoff Hudson | England | DF | 1963–1965 | 89 | 1 | |\n| Sim Raleigh | England | FW | 1932–1934 | 89 | 34 | |\n| Jack Rutherford | England | DF | 1924–1927 | 89 | 2 | |\n| Bradley Garmston | Ireland | DF | 2015 2015– | 88 | 3 | |\n| Davie Laing | Scotland | MF | 1957–1959 | 88 | 5 | |\n| Edwin Scott | England | FW | 1935–1939 | 88 | 10 | |\n| Fred Liddle | England | FW | 1932–1934 | 88 | 19 | |\n| Charlie Freeman | England | FW | 1921–1923 | 88 | 24 | |\n| Mick Galloway | England | MF | 1996–1997 | 87 | 5 | |\n| Graham Pearce | England | DF | 1986–1988 | 87 | 0 | |\n| Bill Berry | England | FW | 1923–1926 | 87 | 12 | |\n| Jack Branfield | England | GK | 1920–1922 | 87 | 0 | |\n| Mike Gibson | England | GK | 1972–1974 | 86 | 0 | |\n| James Graham | unknown | MF | 1897–1901 | 86 | 1 | |\n| Matt Fish | England | DF | 2012–2015 | 85 | 4 | |\n| Mike Trusson | England | MF | 1989–1992 | 85 | 7 | |\n| Teddy Bateup | England | GK | 1908–1910 | 85 | 0 | |\n| Arthur Wood | England | FW | 1919–1922 | 84 | 23 | |\n| Adebayo Akinfenwa | England | FW | 2010–2011 2013–2014 | 83 | 21 | |\n| Ken Pound | England | FW | 1969–1971 | 83 | 12 | |\n| Syd Hartley | England | DF | 1936–1938 | 83 | 2 | |\n| Bill Marriott | unknown | FW | 1905–1908 | 83 | 17 | |\n| Charlie Butler | England | DF | 1923–1925 | 82 | 0 | |\n| Myles Weston | England | MF | 2012–2014 | 82 | 10 | |\n| Jock Henderson | Scotland | DF | 1922–1924 | 82 | 9 | |\n| Martin Higgins | unknown | MF | 1909–1911 | 82 | 2 | |\n| Robert Taylor | England | FW | 1998–2000 2001–2002 | 81 | 39 | |\n| Gavin Peacock | England | MF | 1987–1989 | 81 | 12 | |\n| John Leslie | England | FW | 1983–1985 | 81 | 17 | |\n| Syd Tyler | England | DF | 1927–1929 | 81 | 0 | |\n| Ryan Jackson | England | DF | 2015–2017 | 80 | 3 | |\n| Alan Julian | Northern Ireland | GK | 2008–2011 | 80 | 0 | |\n| Mark Harris | England | DF | 1995–1997 | 80 | 3 | |\n| Colin Greenall | England | DF | 1986–1988 | 80 | 9 | |\n| Errol Crossan | Canada | FW | 1955–1957 | 80 | 17 | |\n| Jackie Carr | Scotland | FW | 1948–1951 | 80 | 30 | |\n| Dick Goffin | unknown | FW | 1911–1914 | 80 | 13 | |\n| Luke Norris | England | FW | 2014–2016 | 79 | 15 | |\n| Paul Watson | England | DF | 1992–1996 | 79 | 2 | |\n| Russell Musker | England | MF | 1983–1986 | 79 | 8 | |\n| Bob Ridley | England | FW | 1961–1967 | 79 | 9 | |\n| Tom Sisson | England | DF | 1920–1923 | 79 | 0 | |\n| Stephen Smith | England | FW | 1906–1908 | 79 | 5 | |\n| Ben Dickenson | England | FW | 2014–2016 | 78 | 4 | |\n| Junior Lewis | England | FW | 1999–2001 | 78 | 8 | |\n| Peter Johnson | England | DF | 1989–1991 | 78 | 2 | |\n| Nicky Forster | England | FW | 1992–1994 | 78 | 26 | |\n| Andy Ford | England | DF | 1980–1982 | 78 | 5 | |\n| Dick Hendrie | Scotland | DF | 1923–1925 | 78 | 0 | |\n| Josh Parker | Antigua and Barbuda | FW | 2017– | 77 | 16 | |\n| Kevin Maher | Ireland | DF | 2008 2009–2011 | 76 | 0 | |\n| Peter Beadle | England | FW | 1988–1992 | 76 | 15 | |\n| Joe Jacques | England | MF | 1972–1975 | 76 | 1 | |\n| Alex Forbes | Scotland | MF | 1932–1935 | 76 | 1 | |\n| Tom Thompson | England | DF | 1920–1924 | 76 | 2 | |\n| Tomáš Holý | Czech Republic | GK | 2017– | 75 | 0 | |\n| Rory Donnelly | Northern Ireland | FW | 2015–2017 | 75 | 12 | |\n| Leo Fortune-West | England | FW | 1995–1998 | 75 | 22 | |\n| Keith Lindsey | England | DF | 1972–1975 | 75 | 5 | |\n| George Hebden | England | GK | 1927–1929 | 75 | 0 | |\n| Matt Lawrence | England | DF | 2010–2012 | 73 | 0 | |\n| Colin Powell | England | FW | 1981–1983 | 73 | 2 | |\n| Gordon Brown | Scotland | FW | 1959–1961 | 73 | 13 | |\n| Alex Ferguson | Scotland | GK | 1925–1927 | 73 | 0 | |\n| James Robertson | unknown | DF/GK | 1899–1901 | 73 | 0 | |\n| Dick Doncaster | Wales | FW | 1934–1936 | 72 | 18 | |\n| George Nicol | Scotland | FW | 1932–1934 | 72 | 42 | |\n| Ernest Harvey | England | DF | 1906–1908 | 72 | 1 | |\n| Darren Byfield | England | FW | 2004–2006 | 71 | 20 | |\n| Ronnie Waldock | England | FW | 1961–1964 | 71 | 15 | |\n| Peter Godfrey | England | FW | 1961–1965 | 71 | 10 | |\n| Doug Loft | England | MF | 2014–2016 | 70 | 6 | |\n| Eliot Martin | England | DF | 1991–1995 | 70 | 1 | |\n| Mickey Barker | England | DF | 1978–1980 | 70 | 3 | |\n| Trevor Long | England | FW | 1952–1955 | 70 | 16 | |\n| Richard Jackson | England | DF | 1932–1934 | 70 | 0 | |\n| Jimmy White | England | DF | 1963–1966 | 70 | 1 | |\n| John McGregor | England | DF | 1930–1932 | 70 | 2 | |\n| John W. White | unknown | DF | 1903–1905 | 70 | 3 | |\n| Elliott List | England | MF | 2015– | 69 | 5 | |\n| Ty Gooden | England | MF | 1999–2002 | 69 | 7 | |\n| Paul Baker | England | FW | 1992–1995 | 69 | 16 | |\n| Dave Wiltshire | England | DF | 1973–1976 | 69 | 2 | |\n| Sam Gilligan | Scotland | FW | 1913–1915 | 69 | 16 | |\n| Tom Eaves | England | FW | 2017– | 68 | 29 | |\n| Ade Akinbiyi | England | FW | 1996–1998 | 68 | 29 | |\n| Larry Baxter | England | FW | 1955–1957 | 68 | 7 | |\n| Sammy Meston | England | FW | 1926–1928 | 68 | 9 | |\n| John MacDonald | unknown | FW | 1898–1901 | 68 | 20 | |\n| Alf Meager | unknown | MF | 1894–1898 | 68 | 1 | |\n| Jermaine McGlashan | England | MF | 2014–2016 | 67 | 7 | |\n| Arthur Read | England | DF | 1922–1924 | 67 | 3 | |\n| Ernie Pinkney | Scotland | FW | 1913–1915 | 67 | 13 | |\n| Joe Walton | unknown | DF | 1904–1906 | 67 | 0 | |\n| Scott Wagstaff | England | MF | 2016–2018 | 66 | 4 | |\n| Andy Frampton | England | DF | 2011–2013 | 66 | 0 | |\n| Alan Pouton | England | MF | 2003–2007 | 66 | 3 | |\n| Robbie Reinelt | England | FW | 1993–1995 | 66 | 8 | |\n| Peter Heritage | England | FW | 1989–1991 | 66 | 11 | |\n| Gary West | England | DF | 1987–1989 | 66 | 3 | |\n| Bill Baldwin | England | FW | 1934–1936 | 66 | 28 | |\n| Deji Oshilaja | England | DF | 2015–2016 2016 2016–2017 | 65 | 5 | |\n| Andy Thomson | Scotland | FW | 1999–2001 | 65 | 22 | |\n| John Hodge | England | FW | 1998–1900 | 65 | 2 | |\n| Scott Barrett | England | GK | 1992–1995 | 65 | 0 | |\n| Bill White | Scotland | FW | 1930–1932 | 65 | 18 | |\n| John Watson | Scotland | DF | 1896–1899 | 65 | 2 | |\n| Luke O'Neill | England | DF | 2017– | 64 | 5 | |\n| Richard Rose | England | DF | 2000–2006 | 64 | 0 | |\n| Ivan Haines | England | DF | 1987–1991 | 64 | 0 | |\n| Bill Cockburn | England | DF | 1960–1962 | 64 | 1 | |\n| Bill Burtenshaw | England | FW | 1949–1952 | 64 | 21 | |\n| John Waugh | Scotland | DF | 1920–1922 | 64 | 4 | |\n| Aaron Morris | Wales | DF | 2014–2016 | 62 | 1 | |\n| Mark McCammon | Barbados | FW | 2008–2011 | 62 | 5 | |\n| Bill Raisbeck | Scotland | MF | 1902–1904 | 62 | 3 | |\n| Lewis Montrose | England | MF | 2011–2013 | 61 | 6 | |\n| Luke Rooney | England | MF | 2008–2012 | 61 | 6 | |\n| Gary Breen | Ireland | DF | 1992–1994 | 61 | 0 | |\n| Charlie Crickmore | England | FW | 1966–1968 | 61 | 17 | |\n| Charlie Burtenshaw | England | FW | 1949–1952 | 61 | 10 | |\n| Charlie Gellatly | England | DF | 1931–1934 | 61 | 0 | |\n| David Rogers | England | MF | 1926–1928 | 61 | 0 | |\n| P. Glen | Scotland | FW | 1912–1915 | 61 | 17 | |\n| Alf Milward | England | FW | 1901–1903 | 61 | 19 | |\n| Stuart Lewis | England | MF | 2008–2010 | 60 | 1 | |\n| Neil Smillie | England | FW | 1993–1995 | 60 | 3 | |\n| Mark Dempsey | Ireland | FW | 1990–1993 | 60 | 2 | |\n| Mark Cooper | England | FW | 1987–1989 | 60 | 11 | |\n| Nigel Williams | England | DF | 1976–1979 | 60 | 1 | |\n| Lew Collins | unknown | GK | 1945–1948 | 60 | 0 | |\n| John Smith | unknown | MF | 1937–1939 | 60 | 0 | |\n| Jonah Wilcox | England | FW | 1927–1929 | 60 | 30 | |\n| Gabriel Zakuani | DR Congo | DF | 2017– | 59 | 0 | |\n| Steven Gregory | England | MF | 2013–2014 | 59 | 0 | |\n| John Shepherd | England | FW | 1959–1961 | 59 | 26 | |\n| Bill Arblaster | England | FW | 1926–1928 | 59 | 24 | |\n| Josh Gowling | England | DF | 2009–2011 | 58 | 4 | |\n| David Fry | England | GK | 1983–1985 | 58 | 0 | |\n| George Francis | England | FW | 1962–1964 | 58 | 21 | |\n| Bill McCurdy | Scotland | DF | 1902–1904 | 58 | 0 | |\n| John Hills | England | DF | 2003–2005 | 57 | 3 | |\n| Paul Collins | England | MF | 1984–1987 | 57 | 4 | |\n| Frank McKee | Scotland | MF | 1952–1955 | 57 | 0 | |\n| Fred Cheesmur | England | FW | 1929–1930 | 57 | 20 | |\n| Arthur Dominy | England | FW | 1928–1929 | 57 | 17 | |\n| Leonard Dowell | Scotland | FW | 1927–1931 | 57 | 7 | |\n| Charlie Hafekost | England | FW | 1912–1914 | 57 | 15 | |\n| Joe Satterthwaite | England | FW | 1909–1911 | 57 | 19 | |\n| Lee Martin | England | DF | 2016–2018 | 56 | 6 | |\n| Tommy Johnson | England | FW | 2002–2005 | 56 | 9 | |\n| William Duncan | Scotland | FW | 1935–1937 | 56 | 8 | |\n| Tommy Caldwell | unknown | FW | 1912–1914 | 56 | 5 | |\n| Tommy Watson | Scotland | FW | 1970–1972 | 55 | 9 | |\n| Trevor Lee | England | FW | 1980–1983 | 54 | 14 | |\n| Joe Durrell | England | FW | 1975–1977 | 54 | 9 | |\n| Terry Parmenter | England | FW | 1971–1973 | 54 | 0 | |\n| Reginald Neal | England | FW | 1937–1938 | 54 | 4 | |\n| Fred Griffiths | Wales | GK | 1904–1906 | 54 | 0 | |\n| John Bradbury | England | FW | 1902–1904 | 54 | 2 | |\n| George Seeley | England | FW | 1899–1901 | 54 | 8 | |\n| Kevin James | England | FW | 2000–2004 | 53 | 4 | |\n| Dave Puttnam | England | FW | 1995–1997 | 53 | 3 | |\n| George Burley | Scotland | DF | 1988–1989 | 53 | 2 | |\n| Ron Saunders | England | FW | 1957–1959 | 53 | 26 | |\n| George Purcell | England | FW | 1932–1934 | 53 | 20 | |\n| Emmanuel Osadebe | Ireland | MF | 2015–2017 | 52 | 3 | |\n| Brian Clarke | England | DF | 1988–1992 | 52 | 0 | |\n| Pat Gavin | England | FW | 1988–1989 | 52 | 8 | |\n| Pat Walker | Ireland | FW | 1977–1981 | 52 | 3 | |\n| Bill Collins | Northern Ireland | MF | 1949–1951 | 52 | 1 | |\n| Bert Williams | Wales | FW | 1931–1932 1933–1935 | 52 | 7 | |\n| John Tatton | unknown | FW | 1913–1915 | 52 | 2 | |\n| Liburd Henry | Dominica | FW | 1992–1994 | 51 | 5 | |\n| Garry Kimble | England | FW | 1989–1991 | 51 | 0 | |\n| Jimmy McVeigh | England | DF | 1970–1972 | 51 | 1 | |\n| Derek Lewis | England | FW | 1950–1952 | 51 | 32 | |\n| Jim McAlpine | Scotland | MF | 1921–1923 | 51 | 0 | |\n| Albert Sutherland | England | DF | 1909–1911 | 51 | 0 | |\n| Conor Wilkinson | Ireland | FW | 2017– | 50 | 4 | |\n| Brent Sancho | Trinidad and Tobago | DF | 2005–2007 | 50 | 2 | |\n| Bill Patrick | Scotland | FW | 1958–1960 | 50 | 15 | |\n| Freddie Kingshott | England | GK | 1955–1957 | 50 | 0 | |\n| Wally Akers | unknown | FW | 1946–1948 | 50 | 23 | |\n| C.W. Johns | unknown | FW | 1910–1920 | 50 | 6 | |\n| C.H. Arthurs | unknown | MF | 1908–1911 | 50 | 5 | |\n| Dan Pellatt | unknown | MF | 1894–1897 | 50 | 4 | |" + } + ] + }, + { + "id": "table_recognition_train_item_63384", + "image": "table_instructV/images/TabFact_2-16194679-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| lane | name | country | mark | react |\n| --- | --- | --- | --- | --- |\n| 5 | tyler christopher | canada | 45.67 wl | 0.241 |\n| 4 | johan wissman | sweden | 46.04 pb | 0.224 |\n| 6 | chris brown | bahamas | 46.26 sb | 0.263 |\n| 3 | nery brenes | costa rica | 46.65 | 0.251 |\n| 1 | maksim dyldin | russia | 46.79 | 0.248 |\n| 2 | sean wroe | australia | 46.93 pb | 0.270 |" + } + ] + }, + { + "id": "table_recognition_train_item_31209", + "image": "table_instructV/images/TABMWP_5253.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $230 | 20,200 | 2,400 |\n| $250 | 15,400 | 6,400 |\n| $270 | 10,600 | 10,400 |\n| $290 | 5,800 | 14,400 |\n| $310 | 1,000 | 18,400 |" + } + ] + }, + { + "id": "table_recognition_train_item_56866", + "image": "table_instructV/images/TabFact_2-13119037-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| place | team | played | draw | lost | goals scored | goals conceded | points |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | cd fas | 18 | 8 | 1 | 34 | 16 | 35 |\n| 2 | cd luis ángel firpo | 18 | 4 | 5 | 27 | 19 | 31 |\n| 3 | alianza fc | 18 | 5 | 5 | 31 | 21 | 29 |\n| 4 | cd águila | 18 | 4 | 6 | 27 | 30 | 28 |\n| 5 | cd atlético balboa | 18 | 2 | 8 | 32 | 27 | 26 |\n| 6 | ad isidro metapán | 18 | 6 | 6 | 20 | 25 | 24 |\n| 7 | cd municipal limeño | 18 | 6 | 7 | 17 | 19 | 21 |\n| 8 | chalatenango | 18 | 9 | 5 | 20 | 23 | 19 |\n| 9 | arcense | 18 | 6 | 8 | 16 | 23 | 18 |\n| 10 | san salvador fc | 18 | 4 | 12 | 18 | 39 | 10 |" + } + ] + }, + { + "id": "table_recognition_train_item_106272", + "image": "table_instructV/images/ToTTo_train_table_26386.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 2005 | The Bernie Mac Show | Sales associate | 1 episode |\n| 2006 | Nip/Tuck | Nastran | 1 episode |\n| 2007 | NCIS | Lt. Rihama Shaheen (uncredited) | 1 episode |\n| 2007 | The Unit | Pari | 1 episode |\n| 2007 | How I Met Your Mother | Girl #2 | Episode: \"Moving Day\" (S02E18) |\n| 2007 | Big Shots | Prostitute | Pilot episode |\n| 2008 | Lost | Translator | Episode: \"Confirmed Dead\" |\n| 2008 | The Shield | Dr. Lucine | 1 episode |\n| 2009 | Floored and Lifted | Caroline | 2 episodes |\n| 2010 | CSI: Miami | Salumeh Farooq | 1 episode |\n| 2010 | 24 | Dalia Hassan | Recurring role, 20 episodes |\n| 2010 | Outlaw | Patty Friedman | 2 episodes |\n| 2010–11 | The Event | Isabel | 5 episodes |\n| 2011 | A Gifted Man | Madeline Fahn | 1 episode |\n| 2012 | Harry's Law | Sarita Radan | 1 episode |\n| 2012 | Major Crimes | Roma Strauss | Episode: \"The Ecstasy and the Agony\" |\n| 2012–13 | Emily Owens, M.D. | Gina Bandhari | Main role |\n| 2013 | The Fosters | Gretchen | 1 episode |\n| 2014 | Rake | Scarlet Leon | Main Role |\n| 2014 | Legends | Ana Paulanos | 2 episodes |\n| 2014–2018 | Girlfriends' Guide to Divorce | Delia | Main role |\n| 2014–2015 | Extant | Shayna Velez | 6 episodes |\n| 2015 | Masters of Sex | Queen of Iran | 1 Episode (\"Three's a Crowd\") |\n| 2016 | The Fosters | Gretchen | 1 Episode (\"Clean\") |\n| 2018 | The Good Doctor | Dr. Ko | 2 episodes |\n| 2018 | Here and Now | Layla Shokrani | Main role |\n| 2018–present | NCIS: New Orleans | Special Agent Hannah Khoury | Series Regular |" + } + ] + }, + { + "id": "table_recognition_train_item_113631", + "image": "table_instructV/images/Rotowire_train_table_1158.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Raptors | Toronto | 111 | 23 | 23 | 30 | 35 | 15 | 42 | 8 | 51 | 74 | 38 | 8 | 2 | | | | |\n| Jazz | Utah | 93 | 25 | 24 | 23 | 21 | 22 | 38 | 11 | 44 | 73 | 31 | 4 | 7 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| DeMar DeRozan | 36 | 27 | 3 | 2 | 10-17 | 59% | 0-1 | 0% | 7-8 | 88% | 1 | 0 | 0 | 1 | 2 | 0 | G | Toronto |\n| Kyle Lowry | 33 | 19 | 3 | 4 | 8-14 | 57% | 2-4 | 50% | 1-1 | 100% | 1 | 2 | 0 | 0 | 3 | 5 | G | Toronto |\n| Jonas Valanciunas | 34 | 17 | 14 | 0 | 7-12 | 58% | 0-0 | 0% | 3-6 | 50% | 0 | 0 | 2 | 3 | 11 | 3 | C | Toronto |\n| Patrick Patterson | 25 | 16 | 5 | 1 | 7-11 | 64% | 2-5 | 40% | 0-0 | 0% | 1 | 2 | 0 | 3 | 2 | 3 | N/A | Toronto |\n| Lou Williams | 24 | 13 | 2 | 2 | 4-13 | 31% | 2-5 | 40% | 3-4 | 75% | 2 | 2 | 0 | 1 | 1 | 3 | N/A | Toronto |\n| Greivis Vasquez | 14 | 8 | 4 | 0 | 3-6 | 50% | 2-2 | 100% | 0-0 | 0% | 0 | 1 | 0 | 1 | 3 | 0 | N/A | Toronto |\n| James Johnson | 14 | 5 | 4 | 2 | 2-3 | 67% | 0-1 | 0% | 1-2 | 50% | 0 | 1 | 1 | 1 | 3 | 2 | N/A | Toronto |\n| Terrence Ross | 23 | 4 | 1 | 2 | 2-5 | 40% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | F | Toronto |\n| Amir Johnson | 23 | 2 | 3 | 2 | 0-1 | 0% | 0-0 | 0% | 2-2 | 100% | 1 | 0 | 2 | 1 | 2 | 0 | F | Toronto |\n| Tyler Hansbrough | 14 | 0 | 3 | 0 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 2 | 1 | 1 | N/A | Toronto |\n| Greg Stiemsma | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Landry Fields | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Charles Hayes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Jazz | | | | | | | | | | | | | | | | | | |\n| Derrick Favors | 29 | 18 | 6 | 2 | 9-11 | 82% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 5 | 3 | F | Utah |\n| Enes Kanter | 30 | 18 | 5 | 0 | 6-12 | 50% | 1-2 | 50% | 5-6 | 83% | 1 | 0 | 0 | 3 | 2 | 3 | C | Utah |\n| Gordon Hayward | 30 | 12 | 1 | 5 | 3-10 | 30% | 0-2 | 0% | 6-7 | 86% | 1 | 0 | 1 | 0 | 1 | 4 | F | Utah |\n| Trey Burke | 34 | 12 | 3 | 5 | 4-15 | 27% | 0-3 | 0% | 4-4 | 100% | 0 | 1 | 0 | 0 | 3 | 2 | G | Utah |\n| Alec Burks | 36 | 10 | 10 | 3 | 4-11 | 36% | 1-2 | 50% | 1-4 | 25% | 0 | 4 | 0 | 2 | 8 | 3 | G | Utah |\n| Rudy Gobert | 18 | 8 | 8 | 0 | 3-5 | 60% | 0-0 | 0% | 2-3 | 67% | 0 | 1 | 1 | 4 | 4 | 3 | N/A | Utah |\n| Trevor Booker | 18 | 6 | 0 | 1 | 1-2 | 50% | 1-2 | 50% | 3-4 | 75% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Utah |\n| Dante Exum | 18 | 6 | 2 | 2 | 2-4 | 50% | 1-1 | 100% | 1-2 | 50% | 1 | 3 | 0 | 0 | 2 | 1 | N/A | Utah |\n| Joe Ingles | 24 | 3 | 3 | 4 | 1-4 | 25% | 1-3 | 33% | 0-0 | 0% | 2 | 0 | 0 | 0 | 3 | 1 | N/A | Utah |\n| Ian Clark | 2 | 0 | 0 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 0 | 0 | N/A | Utah |\n| Jeremy Evans | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Utah |\n| Steve Novak | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |" + } + ] + }, + { + "id": "table_recognition_train_item_105760", + "image": "table_instructV/images/ToTTo_train_table_24179.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Route | Length (mi) | Length (km) | From | Via | To | Notes |\n| --- | --- | --- | --- | --- | --- | --- |\n| CR 601 | 3.95 | 6.36 | US 9 in Middle Township | Avalon Boulevard, 30th Street | Dune Drive in Avalon | |\n| CR 602 | 0.83 | 1.34 | US 9 in Upper Township | Church Road | CR 631 in Upper Township | |\n| CR 603 | 8.18 | 13.16 | CR 626 in Lower Township | Johnathan Hoffman Boulevard, Bayshore Road | Route 47 in Middle Township | |\n| CR 604 | 2.28 | 3.67 | Dead end in West Cape May | Beach Avenue | Wilmington Avenue in Cape May | |\n| CR 605 | 3.37 | 5.42 | CR 550 in Dennis Township | Belleplain Road | CR 548 in Upper Township | |\n| CR 606 | 2.19 | 3.52 | Dead end in Cape May Point | Sunset Boulevard | CR 626 in West Cape May | |\n| CR 607 | 2.04 | 3.28 | CR 606 in West Cape May | Bayshore Road | Dead end along Cape May Canal in Lower Township | |\n| CR 608 | 3.35 | 5.39 | Route 83 in Dennis Township | Kings Highway | CR 550 in Dennis Township | |\n| CR 609 | 1.08 | 1.74 | US 9 in Cape May Court House | Crest Haven Road | Dead end in Middle Township | |\n| CR 610 | 7.77 | 12.50 | Route 47 in Dennis Township | Petersburg Road, Dennisville-Petersburg Road | CR 631 in Upper Township | |\n| CR 611 | 2.93 | 4.72 | Route 47 in Dennis Township | Tyler Road | CR 557 in Woodbine | |\n| CR 612 | 2.88 | 4.63 | Route 47 in Middle Township | Dias Creek Road | CR 615 in Middle Township | |\n| CR 613 | 2.31 | 3.72 | CR 603 in Lower Township | Breakwater Road | CR 626 in Lower Township | |\n| CR 614 | 1.23 | 1.98 | CR 621 in Wildwood | West Glenwood Avenue | Dead end in West Wildwood | |\n| CR 615 | 4.64 | 7.47 | US 9 in Middle Township | Mechanic Street, Goshen Road, Goshen-Swainton Road | Route 47 in Middle Township | |\n| CR 616 | 2.36 | 3.80 | Route 50 in Upper Township | Tyler Road | CR 631 in Upper Township | |\n| CR 617 | 0.23 | 0.37 | CR 557 in Upper Township | Woodbine Road | Route 49 in Upper Township | |\n| CR 618 | 3.17 | 5.10 | Route 47 in Middle Township | Indian Trail Road | US 9/Route 147 in Middle Township | |\n| CR 619 | 19.88 | 31.99 | Route 147 in Middle Township | Ocean Drive, Third Avenue, Landis Avenue, Commonwealth Avenue, Bay Avenue, 55th Street, West Avenue | CR 623 in Ocean City | |\n| CR 619 Spur | 0.10 | 0.16 | CR 619 in Ocean City | 55th Street | Central Avenue in Ocean City | |\n| CR 620 | 2.70 | 4.35 | CR 618 in Middle Township | Shunpike Road | CR 612 in Middle Township | |\n| CR 621 | 7.79 | 12.54 | Route 109 in Lower Township | Ocean Drive, Pacific Avenue, Rambler Road, New Jersey Avenue | Route 147 in North Wildwood | |\n| CR 622 | 1.03 | 1.66 | CR 604 in Cape May | Pittsburgh Avenue, Texas Avenue | Route 109/CR 633 in Cape May | |\n| CR 623 | 2.33 | 3.75 | US 9 in Upper Township | Roosevelt Boulevard, 34th Street | Central Avenue in Ocean City | |\n| CR 624 (1) | 0.58 | 0.93 | Dead end in Lower Township | Old Rio Grande Avenue | Dead end in Lower Township | |\n| CR 624 (2) | 0.14 | 0.23 | Route 47 in Lower Township | West Rio Grande Avenue | Dead end in Lower Township | |\n| CR 625 | 2.78 | 4.47 | US 9 in Dennis Township | Sea Isle Boulevard, JFK Boulevard | CR 619 in Sea Isle City | |\n| CR 626 | 6.77 | 10.90 | CR 604 in West Cape May | Broadway, Seashore Road, Railroad Avenue | Route 47 in Rio Grande | |\n| CR 627 | 0.16 | 0.26 | Dead end in Cape May | Mount Vernon Avenue | CR 626 in Cape May | |\n| CR 628 | 6.75 | 10.86 | Meerwald Road in Dennis Township | School House Road, Dennisville Road, Corsons Tavern Road | US 9 in Upper Township | |\n| CR 629 | 0.75 | 1.21 | CR 651 in Cape May Point | Lighthouse Avenue | CR 606 in Cape May Point | |\n| CR 630 | 0.23 | 0.37 | CR 621 in Lower Township | Fish Dock Road | Dead end in Lower Township | |\n| CR 631 | 5.35 | 8.61 | Route 50 in Upper Township | Tuckahoe Road, Marmora Road | US 9 in Upper Township | |\n| CR 632 | 1.23 | 1.98 | Route 49 in Upper Township | Marshallville Road | Dead end in Upper Township | |\n| CR 633 | 0.34 | 0.55 | CR 626 in West Cape May | Perry Street, Myrtle Street | Route 109 in Cape May | Signage continues north along Route 109 to Lower Township border |\n| CR 634 | 0.55 | 0.89 | US 9 in Middle Township | Rio Grande Avenue | Route 47 in Middle Township | |\n| CR 635 | 0.70 | 1.13 | CR 607 in West Cape May | Fourth Avenue | CR 626 in West Cape May | |\n| CR 636 | 0.19 | 0.31 | CR 619 in Upper Township | Commonwealth Avenue | Seaview Avenue in Upper Township | |\n| CR 637 | 1.75 | 2.82 | US 9 in Upper Township | Butter Road | CR 631 in Upper Township | |\n| CR 638 | 3.51 | 5.65 | CR 610 in Dennis Township | Fidler Road, Webster Street | CR 550/CR 557 in Woodbine | |\n| CR 639 | 2.35 | 3.78 | CR 626 in Lower Township | Academy Road, Fishing Creek Road | CR 603 in Lower Township | |\n| CR 640 | 0.71 | 1.14 | CR 622 in Cape May | Delaware Avenue | Buffalo Avenue in Cape May | |\n| CR 641 | 1.01 | 1.63 | CR 607 in Lower Township | Seashore Road, New England Road | Route 162/CR 626 in Lower Township | |\n| CR 642 | 0.51 | 0.82 | Dead end in Middle Township | Millman Boulevard | CR 603 in Middle Township | |\n| CR 643 | 1.49 | 2.40 | Route 47 in Middle Township | Springers Mill Road | CR 612 in Middle Township | |\n| CR 644 | 2.66 | 4.28 | CR 603 in Lower Township | Shunpike Road | CR 613 in Lower Township | |\n| CR 645 | 0.60 | 0.97 | CR 607 in West Cape May | Stimpson Lane | CR 626 in West Cape May | |\n| CR 646 | 3.43 | 5.52 | CR 615 in Middle Township | Goshen-Swainton Road | US 9 in Middle Township | |\n| CR 647 | 1.12 | 1.80 | CR 639 in Lower Township | Tabernacle Road | CR 626 in Lower Township | |\n| CR 648 | 2.39 | 3.85 | Shore Drive in North Cape May | Town Bank Road | CR 626 in Lower Township | |\n| CR 649 | 1.15 | 1.85 | CR 645 in Lower Township | Shunpike Road | Dead end along Cape May Canal in Lower Township | |\n| CR 650 | 0.30 | 0.48 | Route 47 in Middle Township | William Street | CR 615 in Middle Township | |\n| CR 651 | 1.12 | 1.80 | CR 629 in Cape May Point | Lincoln Avenue, Cape Avenue | CR 606 in Cape May Point | |\n| CR 652 | 0.98 | 1.58 | US 9 in Middle Township | Seigtown Road | CR 646 in Middle Township | |\n| CR 653 | 0.66 | 1.06 | CR 604 in Cape May | Madison Avenue | Route 109/CR 633 in Cape May | |\n| CR 654 | 2.46 | 3.96 | CR 603 in Lower Township | Fulling Mill Road | Route 47 in Middle Township | |\n| CR 655 | 1.00 | 1.61 | Beach Avenue in Middle Township | Reeds Beach Road | Route 47 in Middle Township | |\n| CR 656 | 4.92 | 7.92 | CR 623 in Ocean City | Bay Avenue, Battersea Road, Wesley Road | Atlantic County line on Ocean City-Longport Bridge in Ocean City | |\n| CR 657 | 9.71 | 15.63 | CR 619 in Stone Harbor | Stone Harbor Boulevard, Beaver Dam Road, Court House-Dennisville Road | Route 47 in Dennis Township | |\n| CR 658 | 3.02 | 4.86 | Route 47 in Middle Township | West Hand Avenue | US 9 in Middle Township | |\n| CR 659 | 0.30 | 0.48 | CR 557 in Upper Township | Railroad Avenue | Route 49 in Upper Township | |\n| CR 660 | 0.82 | 1.32 | CR 638 in Woodbine | Fidler Hill Road | CR 550 in Woodbine | |\n| CR 661 | 0.65 | 1.05 | Atlantic Avenue in Wildwood | Rio Grande Avenue | Susquehanna Avenue in Wildwood | Concurrent with Route 47 its entire length |\n| CR 662 | 0.68 | 1.09 | CR 631 in Upper Township | Old Tuckahoe Road | Shore Road in Upper Township | |\n| CR 663 | 0.85 | 1.37 | CR 609 in Middle Township | Moore Road | Dead end in Middle Township | |\n| CR 664 | 3.50 | 5.63 | CR 610 in Woodbine | Tuckahoe-Mt. Pleasant Road | Route 50 in Upper Township | |\n| CR 665 | 0.4 | 0.64 | Route 147 in Middle Township | Old North Wildwood Boulevard | Dead end in Middle Township | |\n| CR 666 | 0.31 | 0.50 | Dead end in Middle Township | Old North Wildwood Boulevard | CR 619 in Middle Township | |\n| CR 667 | 4.37 | 7.03 | CR 671 in Upper Township | Stagecoach Road | CR 662 in Upper Township | |\n| CR 668 | 1.27 | 2.04 | CR 628 in Dennis Township | Main Street | US 9 in Dennis Township | |\n| CR 669 | 0.19 | 0.31 | CR 664 in Upper Township | Marshall Avenue | Route 50 in Upper Township | |\n| CR 671 | 0.76 | 1.22 | Route 50 in Upper Township | Hope Corson Road | US 9 in Upper Township | |" + } + ] + }, + { + "id": "table_recognition_train_item_69334", + "image": "table_instructV/images/TabFact_2-14911550-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| position | team | played | wins | draws | losses | scored | conceded | points |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | libertad | 18 | 9 | 6 | 3 | 32 | 20 | 33 |\n| 2 | olimpia | 18 | 9 | 6 | 3 | 30 | 18 | 33 |\n| 3 | cerro porteño | 18 | 9 | 5 | 4 | 24 | 15 | 32 |\n| 4 | guaraní | 18 | 7 | 6 | 5 | 24 | 17 | 27 |\n| 5 | sportivo luqueño | 18 | 7 | 6 | 5 | 21 | 20 | 27 |\n| 6 | sol de américa | 18 | 4 | 7 | 7 | 17 | 16 | 19 |\n| 7 | 12 de octubre | 18 | 4 | 7 | 7 | 7 | 14 | 19 |\n| 8 | san lorenzo | 18 | 4 | 6 | 8 | 18 | 32 | 18 |\n| 9 | tacuary | 18 | 4 | 5 | 9 | 20 | 29 | 17 |\n| 10 | sport colombia | 18 | 4 | 4 | 10 | 22 | 29 | 16 |" + } + ] + }, + { + "id": "table_recognition_train_item_33738", + "image": "table_instructV/images/TABMWP_32122.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $165 | 13,000 | 11,500 |\n| $335 | 11,100 | 12,400 |\n| $505 | 9,200 | 13,300 |\n| $675 | 7,300 | 14,200 |\n| $845 | 5,400 | 15,100 |" + } + ] + }, + { + "id": "table_recognition_train_item_50186", + "image": "table_instructV/images/TAT-QA_75136344-e4e2-4618-b5c2-13fe41a2bea9.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| | 2019 | 2018 | 2017 |\n| --- | --- | --- | --- |\n| | S$ Mil | S$ Mil | S$ Mil |\n| Statement of comprehensive income | | | |\n| Revenue | 250.1 | 353.9 | 144.1 |\n| Profit after tax | 451.7 | 488.2 | 166.1 |\n| Other comprehensive (loss)/ income | (0.9) | 10.9 | (1.6) |\n| Total comprehensive income | 450.8 | 499.1 | 164.5 |\n| Statement of financial position | | | |\n| Current assets | 743.1 | 720.0 | 701.9 |\n| Non-current assets | 1,532.5 | 1,554.3 | 1,629.3 |\n| Current liabilities | (305.1) | (444.4) | (483.6) |\n| Non-current liabilities | (205.5) | (313.4) | (395.3) |\n| Net assets | 1,765.0 | 1,516.5 | 1,452.3 |\n| Less: Non-controlling interests | (304.6) | (342.2) | (411.6) |\n| Net assets attributable to equity holders | 1,460.4 | 1,174.3 | 1,040.7 |\n| Proportion of the Group’s ownership | 21.0% | 21.0% | 21.0% |\n| Group’s share of net assets | 306.7 | 246.6 | 218.5 |\n| Goodwill and other identifiable intangible assets | 1,441.7 | 1,417.6 | 1,371.7 |\n| Others (1) | (46.8) | (23.0) | (8.4) |\n| Carrying amount of the investment | 1,701.6 | 1,641.2 | 1,581.8 |\n| Other items | | | |\n| Group’s share of market value | 1,653.2 | 1,639.6 | 1,525.0 |\n| Dividends received during the year | 78.5 | 77.8 | - |" + } + ] + }, + { + "id": "table_recognition_train_item_118079", + "image": "table_instructV/images/Rotowire_train_table_3382.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pistons | Detroit | 115 | 31 | 26 | 31 | 27 | 25 | 54 | 10 | 49 | 71 | 47 | 19 | 16 | | | | |\n| Magic | Orlando | 89 | 23 | 24 | 27 | 15 | 17 | 30 | 8 | 44 | 100 | 30 | 19 | 16 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pistons | | | | | | | | | | | | | | | | | | |\n| Kentavious Caldwell-Pope | 34 | 21 | 6 | 2 | 7-12 | 58% | 5-8 | 63% | 2-2 | 100% | 0 | 2 | 0 | 0 | 6 | 4 | G | Detroit |\n| Andre Drummond | 29 | 17 | 12 | 0 | 8-14 | 57% | 0-0 | 0% | 1-4 | 25% | 1 | 1 | 1 | 6 | 6 | 0 | C | Detroit |\n| Brandon Jennings | 18 | 17 | 1 | 6 | 5-9 | 56% | 3-4 | 75% | 4-6 | 67% | 1 | 0 | 0 | 0 | 1 | 1 | N/A | Detroit |\n| Reggie Jackson | 26 | 14 | 3 | 7 | 6-12 | 50% | 0-2 | 0% | 2-2 | 100% | 0 | 2 | 1 | 1 | 2 | 2 | G | Detroit |\n| Marcus Morris | 30 | 13 | 3 | 1 | 4-7 | 57% | 0-1 | 0% | 5-5 | 100% | 0 | 0 | 0 | 1 | 2 | 2 | F | Detroit |\n| Anthony Tolliver | 20 | 10 | 6 | 1 | 4-8 | 50% | 2-4 | 50% | 0-0 | 0% | 0 | 1 | 1 | 2 | 4 | 1 | N/A | Detroit |\n| Ersan Ilyasova | 28 | 10 | 4 | 1 | 4-10 | 40% | 2-5 | 40% | 0-0 | 0% | 2 | 0 | 0 | 2 | 2 | 1 | F | Detroit |\n| Aron Baynes | 16 | 7 | 10 | 2 | 3-3 | 100% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 2 | 4 | 6 | 2 | N/A | Detroit |\n| Stanley Johnson | 25 | 6 | 7 | 3 | 2-8 | 25% | 2-5 | 40% | 0-0 | 0% | 2 | 1 | 0 | 1 | 6 | 3 | N/A | Detroit |\n| Joel Anthony | 4 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 0 | 1 | N/A | Detroit |\n| Darrun Hilliard | 4 | 0 | 0 | 0 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Detroit |\n| Steve Blake | 4 | 0 | 0 | 1 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Detroit |\n| Reggie Bullock | 4 | 0 | 1 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Detroit |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Victor Oladipo | 35 | 18 | 7 | 5 | 7-11 | 64% | 1-1 | 100% | 3-3 | 100% | 2 | 2 | 0 | 0 | 7 | 3 | G | Orlando |\n| Nikola Vucevic | 24 | 16 | 3 | 3 | 8-15 | 53% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 1 | C | Orlando |\n| Andrew Nicholson | 21 | 14 | 7 | 1 | 6-10 | 60% | 2-3 | 67% | 0-0 | 0% | 0 | 1 | 0 | 1 | 6 | 0 | N/A | Orlando |\n| Jason Smith | 15 | 12 | 1 | 0 | 5-13 | 39% | 0-1 | 0% | 2-2 | 100% | 0 | 0 | 2 | 1 | 0 | 2 | N/A | Orlando |\n| Tobias Harris | 33 | 11 | 3 | 3 | 4-7 | 57% | 1-2 | 50% | 2-2 | 100% | 0 | 1 | 0 | 0 | 3 | 2 | F | Orlando |\n| Shabazz Napier | 27 | 10 | 1 | 2 | 4-12 | 33% | 2-6 | 33% | 0-0 | 0% | 2 | 2 | 0 | 0 | 1 | 3 | N/A | Orlando |\n| Mario Hezonja | 11 | 4 | 0 | 0 | 1-3 | 33% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Orlando |\n| Channing Frye | 14 | 2 | 2 | 0 | 1-3 | 33% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 2 | 0 | 2 | 0 | F | Orlando |\n| Aaron Gordon | 25 | 2 | 3 | 1 | 0-1 | 0% | 0-1 | 0% | 2-2 | 100% | 0 | 0 | 0 | 1 | 2 | 1 | N/A | Orlando |\n| Evan Fournier | 26 | 0 | 2 | 2 | 0-6 | 0% | 0-4 | 0% | 0-0 | 0% | 2 | 1 | 0 | 1 | 1 | 2 | G | Orlando |\n| Dewayne Dedmon | 9 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 3 | 0 | 1 | 1 | N/A | Orlando |\n| Elfrid Payton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |" + } + ] + }, + { + "id": "table_recognition_train_item_57470", + "image": "table_instructV/images/TabFact_2-1123320-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| driver | constructor | laps | time / retired | grid |\n| --- | --- | --- | --- | --- |\n| mika hã¤kkinen | mclaren - mercedes | 69 | 1:38:57.771 | 5 |\n| david coulthard | mclaren - mercedes | 69 | + 1.654 | 6 |\n| jacques villeneuve | williams - renault | 69 | + 1.803 | 1 |\n| gerhard berger | benetton - renault | 69 | + 1.919 | 8 |\n| eddie irvine | ferrari | 69 | + 3.789 | 7 |\n| heinz - harald frentzen | williams - renault | 69 | + 4.537 | 3 |\n| olivier panis | prost - mugen - honda | 69 | + 1:07.145 | 9 |\n| johnny herbert | sauber - petronas | 69 | + 1:12.961 | 14 |\n| jan magnussen | stewart - ford | 69 | + 1:17.487 | 11 |\n| shinji nakano | prost - mugen - honda | 69 | + 1:18.215 | 15 |\n| giancarlo fisichella | jordan - peugeot | 68 | + 1 lap | 17 |\n| mika salo | tyrrell - ford | 68 | + 1 lap | 21 |\n| jean alesi | benetton - renault | 68 | + 1 lap | 10 |\n| norberto fontana | sauber - petronas | 68 | + 1 lap | 18 |\n| tarso marques | minardi - hart | 68 | + 1 lap | 20 |\n| jos verstappen | tyrrell - ford | 68 | + 1 lap | 22 |\n| ukyo katayama | minardi - hart | 68 | + 1 lap | 19 |\n| michael schumacher | ferrari | 47 | collision | 2 |\n| damon hill | arrows - yamaha | 47 | gearbox | 4 |\n| ralf schumacher | jordan - peugeot | 44 | water leak | 16 |\n| rubens barrichello | stewart - ford | 30 | gearbox | 12 |\n| pedro diniz | arrows - yamaha | 11 | spun off | 13 |" + } + ] + }, + { + "id": "table_recognition_train_item_64160", + "image": "table_instructV/images/TabFact_1-1341663-26.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| district | incumbent | party | first elected | result | candidates |\n| --- | --- | --- | --- | --- | --- |\n| missouri 2 | robert a young | democratic | 1976 | re - elected | robert a young (d) 56.4% bob chase (r) 43.6% |\n| missouri 3 | dick gephardt | democratic | 1976 | re - elected | dick gephardt (d) 81.9% lee buchschacher (r) 18.1% |\n| missouri 4 | ike skelton | democratic | 1976 | re - elected | ike skelton (d) 72.8% bill baker (r) 27.2% |\n| missouri 7 | gene taylor | republican | 1972 | re - elected | gene taylor (r) 61.2% jim thomas (d) 38.8% |\n| missouri 9 | harold volkmer | democratic | 1976 | re - elected | harold volkmer (d) 74.7% jerry dent (r) 25.3% |" + } + ] + }, + { + "id": "table_recognition_train_item_50450", + "image": "table_instructV/images/TAT-QA_eb92e86b-772f-411e-a0e3-d07456395a0b.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| (IN MILLIONS) | Year Ended December 31, | |\n| --- | --- | --- |\n| | 2019 | 2018 |\n| Contract assets | $218 | $210 |\n| Contract liabilities | $346 | $359 |" + } + ] + }, + { + "id": "table_recognition_train_item_69998", + "image": "table_instructV/images/TabFact_2-15767661-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| date | opponent | venue | result | attendance |\n| --- | --- | --- | --- | --- |\n| 10 august 1985 | rangers | a | 0 - 1 | 28870 |\n| 17 august 1985 | aberdeen | h | 1 - 1 | 14339 |\n| 24 august 1985 | dundee | h | 2 - 0 | 13736 |\n| 31 august 1985 | motherwell | a | 1 - 0 | 3327 |\n| 7 september 1985 | clydebank | h | 2 - 1 | 5336 |\n| 14 september 1985 | hearts | a | 0 - 2 | 7617 |\n| 28 september 1985 | st mirren | a | 0 - 1 | 4408 |\n| 5 october 1985 | hibernian | h | 2 - 2 | 6951 |\n| 12 october 1985 | rangers | h | 1 - 1 | 16657 |\n| 19 october 1985 | aberdeen | a | 2 - 3 | 15748 |\n| 26 october 1985 | celtic | a | 3 - 0 | 25976 |\n| 2 november 1985 | hearts | h | 1 - 1 | 10142 |\n| 9 november 1985 | motherwell | h | 3 - 0 | 5493 |\n| 16 november 1985 | dundee | a | 3 - 0 | 11736 |\n| 23 november 1985 | clydebank | a | 2 - 1 | 1839 |\n| 14 december 1985 | rangers | a | 1 - 1 | 16657 |\n| 21 december 1985 | aberdeen | h | 2 - 1 | 9990 |\n| 23 december 1985 | celtic | h | 1 - 0 | 15894 |\n| 28 december 1985 | dundee | h | 0 - 0 | 14869 |\n| 4 january 1986 | celtic | h | 4 - 2 | 16668 |\n| 11 january 1986 | hearts | a | 1 - 1 | 19043 |\n| 18 january 1986 | clydebank | h | 4 - 0 | 6214 |\n| 1 february 1986 | st mirren | a | 1 - 1 | 4221 |\n| 8 february 1986 | hibernian | h | 4 - 0 | 8504 |\n| 22 february 1986 | rangers | h | 1 - 1 | 14644 |\n| 26 february 1986 | hibernian | a | 1 - 0 | 7137 |\n| 11 march 1986 | motherwell | a | 0 - 2 | 2823 |\n| 15 march 1986 | celtic | a | 1 - 1 | 20965 |\n| 22 march 1986 | motherwell | h | 4 - 0 | 5710 |\n| 29 march 1986 | dundee | a | 1 - 0 | 15079 |\n| 8 april 1986 | st mirren | h | 5 - 0 | 6347 |\n| 12 april 1986 | hearts | h | 0 - 3 | 19878 |\n| 16 april 1986 | aberdeen | a | 1 - 0 | 7278 |\n| 19 april 1986 | clydebank | a | 1 - 1 | 1534 |\n| 26 april 1986 | st mirren | h | 1 - 2 | 4986 |\n| 3 may 1986 | hibernian | a | 2 - 1 | 3513 |" + } + ] + }, + { + "id": "table_recognition_train_item_107223", + "image": "table_instructV/images/ToTTo_train_table_30343.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| 1 December 2012 Fourth Round | Celtic | 1 – 1 | Arbroath | Celtic Park |\n| --- | --- | --- | --- | --- |\n| | Keddie 36' (o.g.) | Celtic Report | Doris 87' | Attendance: 15,000 Referee: Craig Charleston |" + } + ] + }, + { + "id": "table_recognition_train_item_58074", + "image": "table_instructV/images/TabFact_2-1226756-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| year | chassis | engine | tyres | points |\n| --- | --- | --- | --- | --- |\n| 1987 | dallara 3087 | cosworth v8 | a | 0 |\n| 1988 | dallara 3087 lola t88 / 50 | cosworth v8 | a | 0 |\n| 1989 | lola t89 / 50 | cosworth v8 | a | 7 |\n| 1990 | lola t90 / 50 | cosworth v8 | a | 20 |\n| 1991 | lola t91 / 50 reynard 91d | cosworth v8 | a | 43 |\n| 1992 | reynard 92d | cosworth v8 | a | 44 |\n| 1993 | reynard 93d | cosworth v8 | a | 20 |\n| 1994 | reynard 94d | cosworth v8 | a | 9 |" + } + ] + }, + { + "id": "table_recognition_train_item_62372", + "image": "table_instructV/images/TabFact_2-1115680-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| goal | date | score | result | competition |\n| --- | --- | --- | --- | --- |\n| 1 | november 22 , 1994 | 1 - 0 | 3 - 0 | friendly |\n| 2 | december 11 , 1994 | 1 - 1 | 1 - 1 | friendly |\n| 3 | january 21 , 1996 | 3 - 0 | 3 - 0 | 1996 concacaf gold cup |\n| 4 | june 17 , 1997 | 2 - 0 | 2 - 1 | friendly |\n| 5 | february 6 , 1999 | 1 - 0 | 3 - 0 | friendly |\n| 6 | july 24 , 1999 | 2 - 0 | 2 - 1 | friendly |\n| 7 | february 12 , 2000 | 1 - 0 | 3 - 0 | 2000 concacaf gold cup |\n| 8 | march 29 , 2003 | 1 - 0 | 2 - 0 | friendly |\n| 9 | june 8 , 2003 | 2 - 1 | 2 - 1 | friendly |" + } + ] + }, + { + "id": "table_recognition_train_item_49194", + "image": "table_instructV/images/TAT-QA_265bf2e8-bf04-4313-afe9-e5ceca068db7.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| | Years Ended December 31, | |\n| --- | --- | --- |\n| | 2019 | 2018 |\n| Volume-related | $ 27.5 | $ 16.5 |\n| Maintenance services | 0.1 | 0.1 |\n| Total revenue from contracts with customers | 27.6 | 16.6 |\n| RNG incentives | 0.5 | 1.3 |\n| Alternative fuel tax credit | 10.6 | 2.6 |\n| Other revenue | 0.3 | 0.2 |\n| Total Energy segment revenue | $ 39.0 | $ 20.7 |" + } + ] + }, + { + "id": "table_recognition_train_item_67974", + "image": "table_instructV/images/TabFact_2-17608945-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| date | time ( gmt ) | serial | apogee | outcome |\n| --- | --- | --- | --- | --- |\n| 1958 - 07 - 19 | 17:36 | 3b | kilometres (mi) | failure |\n| 1958 - 08 - 02 | 22:16 | 4b | kilometres (mi) | success |\n| 1958 - 08 - 29 | 04:30 | 5b | kilometres (mi) | success |\n| 1958 - 09 - 14 | 05:24 | 8b | kilometres (mi) | success |\n| 1958 - 09 - 18 | 21:27 | 6b | kilometres (mi) | failure |\n| 1958 - 11 - 18 | 04:00 | 9b | kilometres (mi) | partial failure |\n| 1958 - 11 - 29 | 02:27 | 12b | kilometres (mi) | success |\n| 1958 - 12 - 18 | 22:02 | 10b | n / a | success |\n| 1959 - 01 - 16 | 04:00 | 13b | kilometres (mi) | failure |\n| 1959 - 02 - 04 | 08:01 | 11b | kilometres (mi) | success |" + } + ] + }, + { + "id": "table_recognition_train_item_52230", + "image": "table_instructV/images/TabFact_2-17443070-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| res | record | opponent | method | event | round | time |\n| --- | --- | --- | --- | --- | --- | --- |\n| win | 17 - 3 | carlo prater | decision (split) | shine : lightweight grand prix | 3 | 5:00 |\n| loss | 16 - 3 | dave jansen | decision (unanimous) | wec 43 | 3 | 5:00 |\n| win | 16 - 2 | sergio gomez | decision (unanimous) | wec 33 | 3 | 5:00 |\n| loss | 15 - 2 | rob mccullough | tko (punches) | wec 30 | 1 | 1:29 |\n| win | 15 - 1 | mike joy | submission (brabo choke) | wec 25 | 3 | 4:23 |\n| win | 14 - 1 | adam lynn | submission (rear naked choke) | wec 21 | 2 | 1:20 |\n| win | 13 - 1 | nick ertl | tko (strikes) | wec 18 | 2 | 3:55 |\n| win | 12 - 1 | james martinez | tko | freedom fight - canada vs usa | 1 | 3:31 |\n| win | 11 - 1 | paul jenkins | ko | wec 15 | 2 | 2:36 |\n| win | 10 - 1 | peter kaljevic | submission (armbar) | rfc 1 - real fighting championships 1 | 1 | 3:44 |\n| loss | 9 - 1 | hermes frança | decision (unanimous) | ufc 42 | 3 | 5:00 |\n| win | 9 - 0 | víctor estrada | submission (ankle injury) | wec 5 | 1 | 1:13 |\n| win | 8 - 0 | luciano oliveira | submission (armbar) | wec 4 | 1 | 1:55 |\n| win | 7 - 0 | cruz gomez | tko | wec 3 | 1 | 3:04 |\n| win | 6 - 0 | bao quach | ko | ua 2 - the gathering | 2 | 1:20 |\n| win | 5 - 0 | aaron jerome | tko | ritr - rumble in the rockies | 1 | 1:00 |\n| win | 4 - 0 | eric hibler | decision | rsf 1 - redemption in the valley | 3 | 4:00 |\n| win | 3 - 0 | scott johnson | submission (knee bar) | wvf - battlejax | 1 | 5:19 |\n| win | 2 - 0 | robert irizarry | decision (unanimous) | wef - new blood conflict | 3 | 3:00 |\n| win | 1 - 0 | ray totorico | tko (strikes) | wef 7 - stomp in the swamp | 2 | 2:24 |" + } + ] + }, + { + "id": "table_recognition_train_item_30968", + "image": "table_instructV/images/TABMWP_2625.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 2 | 18 |\n| 3 | 10 |\n| 4 | 2 |" + } + ] + }, + { + "id": "table_recognition_train_item_111389", + "image": "table_instructV/images/Rotowire_train_table_37.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Cavaliers | Cleveland | 115 | 33 | 25 | 31 | 18 | 25 | 47 | 18 | 50 | 55 | 38 | 30 | 12 | | | | |\n| Spurs | San Antonio | 118 | 22 | 35 | 27 | 23 | 32 | 46 | 13 | 50 | 86 | 39 | 34 | 9 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Cavaliers | | | | | | | | | | | | | | | | | | |\n| LeBron James | 45 | 29 | 6 | 7 | 11-16 | 69% | 2-5 | 40% | 5-7 | 71% | 2 | 7 | 0 | 0 | 6 | 5 | F | Cleveland |\n| Kyrie Irving | 41 | 29 | 3 | 9 | 13-22 | 59% | 3-8 | 38% | 0-1 | 0% | 2 | 2 | 0 | 1 | 2 | 2 | G | Cleveland |\n| Tristan Thompson | 39 | 14 | 12 | 1 | 7-13 | 54% | 0-0 | 0% | 0-4 | 0% | 0 | 1 | 1 | 5 | 7 | 2 | C | Cleveland |\n| Kevin Love | 36 | 13 | 11 | 3 | 4-15 | 27% | 3-11 | 27% | 2-3 | 67% | 0 | 3 | 0 | 1 | 10 | 3 | F | Cleveland |\n| Iman Shumpert | 38 | 11 | 3 | 2 | 4-8 | 50% | 3-5 | 60% | 0-0 | 0% | 2 | 1 | 0 | 1 | 2 | 1 | G | Cleveland |\n| Channing Frye | 17 | 8 | 4 | 0 | 2-8 | 25% | 0-2 | 0% | 4-5 | 80% | 0 | 1 | 0 | 1 | 3 | 0 | N/A | Cleveland |\n| Kyle Korver | 22 | 6 | 2 | 0 | 2-3 | 67% | 2-3 | 67% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | Cleveland |\n| DeAndre Liggins | 12 | 5 | 1 | 1 | 2-4 | 50% | 0-0 | 0% | 1-2 | 50% | 1 | 0 | 0 | 0 | 1 | 1 | N/A | Cleveland |\n| Richard Jefferson | 16 | 0 | 5 | 2 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 0 | 1 | 4 | 2 | N/A | Cleveland |\n| Jordan McRae | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Kay Felder | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| James Jones | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Kawhi Leonard | 46 | 41 | 6 | 5 | 15-30 | 50% | 3-8 | 38% | 8-8 | 100% | 1 | 6 | 1 | 0 | 6 | 3 | F | San Antonio |\n| LaMarcus Aldridge | 42 | 16 | 12 | 6 | 7-14 | 50% | 0-0 | 0% | 2-4 | 50% | 0 | 1 | 2 | 4 | 8 | 2 | F | San Antonio |\n| David Lee | 36 | 14 | 11 | 3 | 7-11 | 64% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 3 | 8 | 3 | C | San Antonio |\n| Dejounte Murray | 22 | 14 | 2 | 5 | 7-10 | 70% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 0 | G | San Antonio |\n| Patty Mills | 31 | 13 | 3 | 5 | 4-11 | 36% | 3-5 | 60% | 2-2 | 100% | 1 | 2 | 0 | 2 | 1 | 2 | N/A | San Antonio |\n| Manu Ginobili | 20 | 8 | 2 | 3 | 3-9 | 33% | 2-6 | 33% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 4 | N/A | San Antonio |\n| Danny Green | 32 | 6 | 2 | 2 | 2-5 | 40% | 2-5 | 40% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 4 | G | San Antonio |\n| Dewayne Dedmon | 10 | 2 | 4 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 4 | 1 | N/A | San Antonio |\n| Kyle Anderson | 18 | 2 | 4 | 2 | 1-3 | 33% | 0-2 | 0% | 0-0 | 0% | 4 | 0 | 2 | 0 | 4 | 2 | N/A | San Antonio |\n| Jonathon Simmons | 8 | 2 | 0 | 1 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | San Antonio |\n| Bryn Forbes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Davis Bertans | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Tony Parker | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |" + } + ] + }, + { + "id": "table_recognition_train_item_34025", + "image": "table_instructV/images/TABMWP_35209.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Option | Change in phone price |\n| --- | --- |\n| Add an upgrade | $60 |\n| Buy a used phone | -$75 |" + } + ] + }, + { + "id": "table_recognition_train_item_66812", + "image": "table_instructV/images/TabFact_2-10689293-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | september 3 , 1995 | green bay packers | w 17 - 14 | 60104 |\n| 2 | september 10 , 1995 | new orleans saints | w 17 - 13 | 59335 |\n| 3 | september 17 , 1995 | carolina panthers | w 31 - 10 | 54060 |\n| 4 | september 24 , 1995 | chicago bears | w 34 - 28 | 59679 |\n| 5 | october 1 , 1995 | indianapolis colts | l 21 - 18 | 58616 |\n| 7 | october 12 , 1995 | atlanta falcons | w 21 - 19 | 59700 |\n| 8 | october 22 , 1995 | san francisco 49ers | l 44 - 10 | 59915 |\n| 9 | october 29 , 1995 | philadelphia eagles | l 20 - 9 | 62172 |\n| 10 | november 5 , 1995 | new orleans saints | l 19 - 10 | 43120 |\n| 11 | november 12 , 1995 | carolina panthers | w 28 - 17 | 65598 |\n| 12 | november 19 , 1995 | atlanta falcons | l 31 - 6 | 46309 |\n| 13 | november 26 , 1995 | san francisco 49ers | l 41 - 13 | 66049 |\n| 14 | december 3 , 1995 | new york jets | w 23 - 20 | 52023 |\n| 15 | december 10 , 1995 | buffalo bills | l 45 - 27 | 64623 |\n| 16 | december 17 , 1995 | washington redskins | l 35 - 23 | 63760 |\n| 17 | december 24 , 1995 | miami dolphins | l 41 - 22 | 63876 |" + } + ] + }, + { + "id": "table_recognition_train_item_100276", + "image": "table_instructV/images/ToTTo_train_table_1137.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 2004–2005 | One Tree Hill | Money Girl / Ashley | Episodes: \"To Wish Impossible Things\", \"Locked Hearts and Hand Grenades\" |\n| 2006–2007 | CSI: Miami | Toll Booth Girl / Kelly | Episodes: \"Darkroom\", \"Sunblock\" |\n| 2007 | CSI: Crime Scene Investigation | Monica | Episode: \"Goodbye and Good Luck\" |\n| 2009 | How I Met Your Mother | Maiden | Episode: \"The Sexless Innkeeper\" |\n| 2009 | My Super Psycho Sweet 16 | Madison Penrose | Television film |\n| 2009–2010 | 90210 | Savannah Montgomery | Episodes: \"Winter Wonderland\", \"Girl Fight!\" |\n| 2010 | Cold Case | Bunny Hargreave (1974) | Episode: \"The Runaway Bunny\" |\n| 2010 | Accidentally on Purpose | Melissa | Episode: \"Back to School\" |\n| 2010 | The Subpranos | Sunshine | Episodes: \"Sunshiny Day\", \"Gypsies, Tramps and Thieves\" |\n| 2010 | 15 Minutes | N/A | Television film |\n| 2010 | My Super Psycho Sweet 16: Part 2 | Madison Penrose | Television film |\n| 2010–2011 | Glory Daze | Christie Dewitt | Main role, 10 episodes |\n| 2011 | Community | Head Cheerleader | Episode: \"A Fistful of Paintballs\" |\n| 2011 | Psych | Vivienne | Episode: \"Shawn, Interrupted\" |\n| 2012–2013 | Underemployed | Bekah | Recurring role, 7 episodes |\n| 2013 | Bad Samaritans | Drew | Main role, 5 episodes |\n| 2013 | Criminal Minds | Ashley Fouladi | Episode: \"Gatekeeper\" |\n| 2014 | Cougar Town | Haylee Gazelian | Episode: \"Too Good to Be True\" |\n| 2014 | Selfie | Corynn Mcwatters | Episode: \"Wishing Well\" |\n| 2014–2017 | Girlfriends' Guide to Divorce | Becca Riley | Recurring role, 17 episodes |\n| 2016 | Rush Hour | Dr. Alice Rosenberger | Episodes: \"Welcome Back, Carter\", \"Knock, Knock... House Creeping!\" |\n| 2016 | Summer in the City | Taylor | Television film |\n| 2016 | Sunset PPL | Talia | Television film |\n| 2016 | Rosewood | Astrid | Episode: \"Bacterium & the Brothers Panitch\" |\n| 2017 | The Mindy Project | Dina | Episode: \"Dibs\" |\n| 2017 | Psych: The Movie | Dr. Butterfly McMillan | Television film |\n| 2018–present | The Resident | Jessie Nevin | Recurring role, 8 episodes |\n| 2019 | Into the Dark | Kara Wheeler | Episode: \"Treehouse\" |" + } + ] + }, + { + "id": "table_recognition_train_item_68982", + "image": "table_instructV/images/TabFact_1-16799784-12.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| name | latitude | longitude | diameter (km) | year named | name origin |\n| --- | --- | --- | --- | --- | --- |\n| alpan fluctus | 7.5s | 349.0e | 500.0 | 1997 | lezghin (daghestan) fire goddess |\n| argimpasa fluctus | 0.0n | 175.5e | 950.0 | 1997 | scythian goddess of love |\n| arubani fluctus | 55.0s | 132.0e | 620.0 | 1997 | urartu supreme goddess |\n| bolotnitsa fluctus | 50.0n | 160.0e | 1100.0 | 1997 | e slavic swamp mermaid |\n| darago fluctus | 11.5s | 313.5e | 775.0 | 1994 | philippine volcano goddess |\n| djabran fluctus | 43.5s | 183.0e | 300.0 | 1997 | abkhazian goddess of goats |\n| djata fluctus | 66.5n | 307.5e | 280.0 | 1997 | ngadju (kalimantan isl , indonesia) water goddess |\n| dotetem fluctus | 6.0s | 177.5e | 530.0 | 1997 | ketian (yenisey r) evil spirit |\n| eriu fluctus | 37.0s | 357.0e | 600.0 | 1991 | irish earth mother |\n| heloha fluctus | 77.0 n | 344.0 e | 375.0 | 2009 | chocktaw thunderbird |\n| henwen fluctus | 20.5s | 179.9e | 485.0 | 1994 | british celtic sow - goddess |\n| hikuleo fluctus | 52.5n | 208.0e | 600.0 | 1997 | tonga (polynesia) underworld goddess |\n| ilaheva fluctus | 42.5s | 84.0e | 900.0 | 2000 | tonga (polynesia) worm goddess |\n| itoki fluctus | 6.0s | 229.0e | 900.0 | 2003 | nicaraguan goddess of insects , stars , and planets |\n| kaapaau fluctus | 66.5s | 181.0e | 350.0 | 2000 | polynesian goddess of sharks |\n| kaiwan fluctus | 45.5s | 358.0e | 1200.0 | 1991 | ethiopian earth mother |\n| koti fluctus | 12.5n | 318.0e | 400.0 | 1997 | creek (se usa) water - frog , helpful spirit |\n| mamapacha fluctus | 60.0n | 185.0e | 900.0 | 1997 | inca earthquake goddess |\n| medb fluctus | 56.0s | 127.0e | 350.0 | 1997 | irish mother of gods , wife of ailil |\n| merisa fluctus | 20.5n | 9.0e | 630.0 | 2000 | adygan (n caucasus) beekeeping goddess |\n| mert fluctus | 50.5s | 230.5e | 250.0 | 2000 | egyptian goddess of music and singing |\n| mylitta fluctus | 54.0s | 355.5e | 1250.0 | 1991 | semitic mother goddess |\n| nambubi fluctus | 61.0s | 135.0e | 850.0 | 1997 | ganda goddess , mother of god mukasa |\n| naunet fluctus | 81.0s | 136.0e | 200.0 | 2000 | ancient egyptian (heliopolis) sky goddess |\n| neago fluctu - s | 49.3n | 351.0e | 0.0 | 1991 | seneca (usa) goddess of silence |\n| nekhebet fluctus | 0.0n | 35.0e | 400.0 | 1997 | egyptian vulture goddess |\n| ney - anki fluctus | 37.0s | 105.0e | 950.0 | 2000 | khanty (ob river ugra) mother of fire |\n| ningyo fluctus | 5.5s | 206.0e | 970.0 | 1994 | japanese fish goddess |\n| oilule fluctus | 22.0s | 79.0e | 900.0 | 2000 | west bulgarian wife of thunder god |\n| ovda fluctus | 6.1s | 95.5e | 310.0 | 1994 | named from regio where feature is located |\n| praurime fluctus | 16.0n | 154.0e | 750.0 | 1997 | lithuanian fire goddess |\n| rafara fluctus | 65.0s | 159.0e | 700.0 | 1997 | malagasy (madagascar) water goddess |\n| sicasica fluctus | 52.0s | 180.4e | 175.0 | 1994 | aymara (bolivia) mountain goddess |\n| sonmunde fluctus | 60.0s | 120.0e | 400.0 | 1997 | korean mountain goddess |\n| strenia fluctus | 41.0n | 250.0e | 490.0 | 1997 | roman goddess of new year festivities |\n| syvne fluctus | 36.0s | 72.0e | 900.0 | 2000 | nenets (samoyed) winter maiden |\n| tie fluctus | 21.0n | 159.0e | 550.0 | 2003 | egyptian goddess of intelligence and wisdom |\n| tsunghi fluctus | 67.0s | 130.0e | 800.0 | 1997 | hibaro (ecuador) water goddess |\n| turgmam fluctus | 56.0n | 220.0e | 500.0 | 1997 | nivkhi (sakhalin isl) fire mistress |\n| ubastet fluctus | 48.0s | 27.0e | 550.0 | 1997 | egyptian cat goddess |\n| uilata fluctus | 17.0n | 314.0e | 700.0 | 1997 | cherokee stone - clad female monster |\n| uzume fluctus | 28.6n | 220.3e | 700.0 | 1997 | japanese goddess of cheerfulness |\n| vut - ami fluctus | 38.0s | 67.0e | 1300.0 | 2000 | chuvash (volga region) fire goddess |\n| yagami fluctus | 80.6s | 152.0e | 260.0 | 2000 | japanese goddess , bride of god o - kuninusi |" + } + ] + }, + { + "id": "table_recognition_train_item_69990", + "image": "table_instructV/images/TabFact_2-10783853-13.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| home team | home team score | away team | away team score | venue | crowd | date |\n| --- | --- | --- | --- | --- | --- | --- |\n| richmond | 9.10 (64) | south melbourne | 20.10 (130) | punt road oval | 15000 | 3 august 1963 |\n| hawthorn | 13.6 (84) | melbourne | 8.14 (62) | glenferrie oval | 34000 | 3 august 1963 |\n| fitzroy | 7.7 (49) | footscray | 10.20 (80) | brunswick street oval | 13892 | 3 august 1963 |\n| geelong | 14.15 (99) | essendon | 9.8 (62) | kardinia park | 40885 | 3 august 1963 |\n| north melbourne | 9.17 (71) | collingwood | 8.10 (58) | arden street oval | 16083 | 3 august 1963 |\n| st kilda | 14.12 (96) | carlton | 7.13 (55) | junction oval | 30100 | 3 august 1963 |" + } + ] + }, + { + "id": "table_recognition_train_item_106084", + "image": "table_instructV/images/ToTTo_train_table_25581.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Year | 1990 | 1995 | 2005 | 2008 | 2014 |\n| --- | --- | --- | --- | --- | --- |\n| Undernourished people in the world (millions) | 843 | 788 | 848 | 923 | 795 |" + } + ] + }, + { + "id": "table_recognition_train_item_63902", + "image": "table_instructV/images/TabFact_2-1122050-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| driver | constructor | laps | time / retired | grid |\n| --- | --- | --- | --- | --- |\n| luigi fagioli juan manuel fangio | alfa romeo | 77 | 3:22:11.0 | 7 |\n| josé froilán gonzález alberto ascari | ferrari | 77 | + 58.2 | 6 |\n| luigi villoresi | ferrari | 74 | + 3 laps | 4 |\n| reg parnell | ferrari | 73 | + 4 laps | 9 |\n| nino farina | alfa romeo | 73 | + 4 laps | 2 |\n| louis chiron | talbot - lago - talbot | 71 | + 6 laps | 8 |\n| yves giraud - cabantous | talbot - lago - talbot | 71 | + 6 laps | 11 |\n| eugène chaboud | talbot - lago - talbot | 69 | + 8 laps | 14 |\n| guy mairesse | talbot - lago - talbot | 66 | + 11 laps | 19 |\n| consalvo sanesi | alfa romeo | 58 | + 19 laps | 5 |\n| juan manuel fangio luigi fagioli | alfa romeo | 55 | + 22 laps | 1 |\n| johnny claes | talbot - lago - talbot | 54 | accident | 12 |\n| louis rosier | talbot - lago - talbot | 43 | transmission | 13 |\n| philippe étancelin | talbot - lago - talbot | 37 | engine | 10 |\n| aldo gordini | simca - gordini | 27 | engine | 17 |\n| harry schell | maserati | 23 | overheating | 22 |\n| maurice trintignant | simca - gordini | 11 | engine | 18 |\n| alberto ascari | ferrari | 10 | gearbox | 3 |\n| andré simon | simca - gordini | 7 | engine | 21 |\n| robert manzon | simca - gordini | 3 | engine | 23 |\n| onofre marimón | maserati - milano | 2 | engine | 15 |\n| toulo de graffenried | maserati | 1 | transmission | 16 |\n| peter whitehead | ferrari | 1 | engine | 20 |" + } + ] + }, + { + "id": "table_recognition_train_item_106136", + "image": "table_instructV/images/ToTTo_train_table_25778.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 1957 | The Green-Eyed Blonde | Phyllis (\"Greeneyes\") | |\n| 1957 | The Kaiser Aluminum Hour | Kay | Episode: \"So Short a Season\" |\n| 1957 | Crossroads | Connie Willis | Episode: \"9:30 Action\" |\n| 1957 | Wagon Train | Judy Rossiter | Episode: \"The Emily Rossiter Story\" |\n| 1958 | Father Knows Best | Cousin Millie | Episode: \"Country Cousin\" |\n| 1958 | Kraft Television Theatre | Pamela | Episode: \"The Woman at High Hollow\" |\n| 1958 | Suspicion | Rosemary Russell | Episode: \"The Woman Turned to Salt\" |\n| 1959 | Trackdown | Rebecca Ford | Episode: \"Blind Alley\" |\n| 1959 | Alcoa Theatre | Bernice Davis | Episode: \"The Long House on Avenue A\" |\n| 1959 | The Gene Krupa Story | Dorissa Dinell | |\n| 1960 | BUtterfield 8 | Norma | |\n| 1960 | Wanted: Dead or alive | Bess | Episode: \"The Pariah\" |\n| 1960 | The Untouchables | Roxie Plumber | Episode: \"The Organization\" |\n| 1960 | Bonanza | Leta Malvet | Episode: \"The Outcast\" |\n| 1960 | Wagon Train | Maggie Hamilton | Episode: \"The Maggie Hamilton Story\" |\n| 1960 | The Twilight Zone | Teenya | Episode: \"People Are Alike All Over\" |\n| 1960 | Dick Powell's Zane Grey Theatre | Susan Pittman | Episode: \"Knife of Hate\" |\n| 1961 | Naked City | as Jessica | Episode: \"A memory of Crying\" |\n| 1961 | The Aquanauts | Laura West | Episode: \"Stormy Weather\" |\n| 1961 | Rawhide | Laurie Evans | Episode: \"Incident of His Brother's Keeper\" |\n| 1961 | The Adventures of Ozzie and Harriet | Lori | Episode: \"Rick, the Milkman\" |\n| 1961 | Route 66 | Joan Maslow | Episode: \"Welcome to Amity\" |\n| 1961 | Dick Powell's Zane Grey Theatre | Hannah Smith | Episode: \"Image of a Drawn Sword\" |\n| 1961 | Thriller | Edith Landers | Episode: \"Choose a Victim\" |\n| 1962 | Route 66 | Claire/Chris | Episode: \"Between Hello and Goodbye\" |\n| 1962 | Laramie | Jean Lavelle | Episode: \"Shadows in the Dust\" |\n| 1962 | Cain's Hundred | Kitty | Episode: \"The Cost of Living\" |\n| 1962 | The Alfred Hitchcock Hour | Annabel Delaney | Episode: \"Annabel\" |\n| 1963 | Rawhide | Judy Hall | Episode: \"Incident at Spider Rock\" |\n| 1963 | Wagon Train | Lily | Episode: \"The Lily Legend Story\" |\n| 1963 | 77 Sunset Strip | Kristine Seaver | Episode: \"Your Fortune for a Penny\" |\n| 1963 | The Caretakers | Nurse Cathy Clark | |\n| 1963 | The Fugitive | Karen | Episode: \"Never Wave Goodbye\" |\n| 1963 | Route 66 | Willow | Episode: \"Fifty Miles from Home\" |\n| 1964 | Looking For Love | Jan McNair | |\n| 1964 | Guns of Diablo | Maria Macklin | |\n| 1964 | Your Cheatin' Heart | Audrey Williams | |\n| 1964 | The Disorderly Orderly | Susan Andrews | |\n| 1964 | Destry | Rebecca Fairhaven | Episode: \"One Hundred Bibles\" |\n| 1964 | The Andy Griffith Show | Jan McNair | Episode: \"Prisoner of Love\" Season 4 Episode 18 |\n| 1964 | Star Trek | Vina | Pilot Episode: \"The Cage\" Episode: \"The Menagerie\" (Parts 1 & 2) S1: E12 & E13 respectively (1966) (re-used footage from the pilot) |\n| 1965 | Seaway | Sue Murray | Episode: \"The Sparrows\" |\n| 1965 | The Man from U.N.C.L.E. | Ursula Alice Baldwin | Episode: \"The Bow-Wow Affair\" |\n| 1966 | A Man Called Shenandoah | Virginia Harvey | Episode: \"Rope's End\" |\n| 1966 | Gomer Pyle, U.S.M.C. | Julie Myers | Episode: \"A Date with Miss Camp Henderson\" |\n| 1966 | My Three Sons | Jerry Harper | Episode: \"The Awkward Age\" |\n| 1966 | Peyton Place | Ann Howard | 48 episodes |\n| 1967 | Tarzan | Peggy Dean | Episode S1E18: \"The Day the Earth Trembled\" |\n| 1967 | T.H.E. Cat | Lori Neil | Episode: \"Twenty One And Out\" |\n| 1967 | The Love-Ins | Patricia Cross | |\n| 1967 | The Wild Wild West | Triste | Episode: \"The Night Dr. Loveless Died\" |\n| 1967 | The Invaders | Stacy Cahill | Episode: \"The Ivy Curtain\" |\n| 1968 | A Man Called Gannon | Matty | |\n| 1968 | The Invaders | Joan Seeley | Episode: \"Inquisition\" |\n| 1969 | Mannix | Linda Jordan | Episode: \"The Odds Against Donald Jordan\" |\n| 1969 | The Big Valley | Kate Wilson | Episode: \"Alias Nellie Handley\" |\n| 1969 | Change of Mind | Margaret Rowe | |\n| 1969 | The Monitors | Barbara Cole | |\n| 1970 | Carter's Army | Anna Renvic | TV movie |\n| 1971 | Company of Killers | Thelma Dwyer | TV movie |\n| 1971 | Do You Take This Stranger? | Mildred Crandall | TV movie |\n| 1971 | Dan August | Leona Serling | Episode: \"Prognosis: Homicide\" |\n| 1971 | Sarge | Fran | Episode: \"An Accident Waiting to Happen\" |\n| 1971 | Alias Smith and Jones | Miss Blanche Graham | Episode: \"Journey from San Juan\" |\n| 1972 | Medical Center | Ruth | Episode: \"Vision of Doom\" |\n| 1972 | Gunsmoke | Sarah Elkins | Episode: \"Eleven Dollars\" |\n| 1973 | The American Sportsman | Herself | Segment: \"Soaring at El Mirage\" |\n| 1973 | Cannon | Jill Thorson | Episode: \"Moving Target\" |\n| 1973 | Circle of Fear | Ellen Pritchard | Episode: \"Spare Parts\" |\n| 1973 | Love Story | Virginia Madison | Episode: \"The Youngest Lovers\" |\n| 1974 | Ginger in the Morning | Sugar | |\n| 1974 | Police Story | Rina Prescott | Episode: \"World Full of Hurt\" |\n| 1974 | Petrocelli | Eleanor Warren | Episode: \"Edge of Evil\" |\n| 1976 | Amelia Earhart | Netta Snook \"Snookie\" | |\n| 1977 | The Streets of San Francisco | Gracie Boggs | Episode: \"Hang Tough\" |\n| 1977 | Nido de Viudas | Isabel | US title: Widow's Nest |\n| 1980 | Hardly Working | Claire Trent | |\n| 1982 | Tomorrow's Child | Marilyn Hurst | Television movie |\n| 1982 | M*A*S*H | | Director, 1 episode |\n| 1983 | Trapper John, M.D. | | Director, 1 episode |\n| 1982 | International Airport | Mary Van Leuven | Television movie |\n| 1985 | Magnum, P.I. | Laurie Crane | Episode: \"Let Me Hear the Music\" |\n| 1986 | Murder, She Wrote | Louise | Episode: \"Jessica Behind Bars\" |\n| 1988 | Our House | Olga Zelnikova | Episode: \"Balance of Power\" |\n| 1988 | Freddy's Nightmares | The Maid / Future Judy Miller | Episode: \"Judy Miller, Come on Down\", (final appearance) |" + } + ] + }, + { + "id": "table_recognition_train_item_64440", + "image": "table_instructV/images/TabFact_2-10506557-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| driver | team | laps | time / retired | grid | points |\n| --- | --- | --- | --- | --- | --- |\n| will power | team australia | 68 | 1:45:13.637 | 1 | 34 |\n| robert doornbos | minardi team usa | 68 | + 16.789 | 3 | 27 |\n| paul tracy | forsythe racing | 68 | + 27.356 | 2 | 27 |\n| alex tagliani | rsports | 68 | + 48.981 | 4 | 24 |\n| tristan gommendy | pkv racing | 68 | + 1:10.396 | 11 | 21 |\n| katherine legge | dale coyne racing | 68 | + 1:21.261 | 13 | 20 |\n| bruno junqueira | dale coyne racing | 66 | + 1 lap | 6 | 18 |\n| alex figge | pacific coast motorsports | 63 | + 5 laps | 17 | 15 |\n| mario dominguez | forsythe racing | 57 | + 11 laps | 7 | 13 |\n| neel jani | pkv racing | 56 | mechanical | 9 | 11 |\n| ryan dalziel | pacific coast motorsports | 52 | + 16 laps | 15 | 10 |\n| simon pagenaud | team australia | 47 | engine | 5 | 9 |\n| sãbastien bourdais | n / h / l racing | 30 | accident | 16 | 8 |\n| justin wilson | rsports | 20 | input shaft | 8 | 7 |\n| dan clarke | minardi team usa | 13 | accident | 12 | 6 |\n| matt halliday | conquest racing | 3 | accident | 14 | 5 |\n| graham rahal | n / h / l racing | 1 | accident | 10 | 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_59424", + "image": "table_instructV/images/TabFact_2-1544297-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| date | tournament | winning score | margin of victory | runner (s) - up |\n| --- | --- | --- | --- | --- |\n| sep 28 , 1986 | southwest golf classic | - 13 (68 + 70 + 66 + 71 = 275) | 3 strokes | tom byrum |\n| mar 8 , 1987 | honda classic | - 9 (69 + 72 + 68 + 70 = 279) | 3 strokes | bernhard langer , payne stewart |\n| sep 18 , 1988 | bank of boston classic | - 10 (71 + 67 + 70 + 66 = 274) | 1 stroke | don pooley |\n| jan 22 , 1989 | phoenix open | - 21 (66 + 68 + 65 + 64 = 263) | 7 strokes | chip beck |\n| feb 5 , 1989 | nissan los angeles open | - 12 (68 + 66 + 70 + 68 = 272) | 1 stroke | sandy lyle |\n| jul 23 , 1989 | the open championship | - 13 (71 + 68 + 68 + 68 = 275) | playoff | wayne grady , greg norman |\n| jan 26 , 1992 | phoenix open | - 20 (69 + 65 + 67 + 63 = 264) | 5 strokes | duffy waldorf |\n| may 7 , 1995 | bellsouth classic | - 17 (67 + 69 + 69 + 66 = 271) | 2 strokes | jim gallagher , jr |\n| aug 24 , 1997 | greater vancouver open | - 19 (68 + 66 + 65 + 66 = 265) | 1 stroke | andrew magee |\n| mar 15 , 1998 | honda classic | - 18 (70 + 67 + 68 + 65 = 270) | 3 strokes | vijay singh |\n| jan 28 , 2001 | phoenix open | - 28 (65 + 60 + 64 + 67 = 256) | 8 strokes | rocco mediate |\n| sep 11 , 2005 | bell canadian open | - 5 (65 + 67 + 72 + 71 = 275) | 1 stroke | ben crane , ryan moore |\n| mar 11 , 2007 | pods championship | - 10 (75 + 67 + 62 + 70 = 274) | 1 stroke | john senden , heath slocum |" + } + ] + }, + { + "id": "table_recognition_train_item_55492", + "image": "table_instructV/images/TabFact_1-17693171-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| fin pos | car no | driver | team | laps | time / retired | grid | laps led | points |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 10 | dan wheldon | target chip ganassi | 200 | 1:36:56.0586 | 4 | 177 | 50 + 3 |\n| 2 | 27 | dario franchitti | andretti green | 200 | + 18.4830 | 6 | 0 | 40 |\n| 3 | 3 | hãlio castroneves | team penske | 200 | + 33.2280 | 3 | 0 | 35 |\n| 4 | 9 | scott dixon | target chip ganassi | 200 | + 34.4208 | 5 | 16 | 32 |\n| 5 | 2 | tomas scheckter | vision racing | 199 | + 1 lap | 7 | 0 | 30 |\n| 6 | 6 | sam hornish , jr | team penske | 199 | + 1 lap | 2 | 0 | 28 |\n| 7 | 7 | danica patrick | andretti green | 198 | + 2 laps | 10 | 0 | 26 |\n| 8 | 4 | vitor meira | panther racing | 198 | + 2 laps | 8 | 0 | 24 |\n| 9 | 22 | a j foyt iv | vision racing | 198 | + 2 laps | 15 | 0 | 22 |\n| 10 | 17 | jeff simmons | rahal letterman | 198 | + 2 laps | 16 | 0 | 20 |\n| 11 | 14 | darren manning | aj foyt racing | 198 | + 2 laps | 11 | 0 | 19 |\n| 12 | 5 | sarah fisher | dreyer & reinbold racing | 196 | + 4 laps | 17 | 0 | 18 |\n| 13 | 8 | scott sharp | rahal letterman | 195 | accident | 14 | 0 | 17 |\n| 14 | 23 | milka duno | samax motorsport | 194 | + 6 laps | 21 | 0 | 16 |\n| 15 | 11 | tony kanaan | andretti green racing | 192 | + 8 laps | 1 | 7 | 15 |\n| 16 | 98 | alex barron | curb / agajanian / beck | 191 | + 9 laps | 20 | 0 | 14 |\n| 17 | 20 | ed carpenter | vision racing | 99 | accident | 13 | 0 | 13 |\n| 18 | 55 | kosuke matsuura | super aguri panther racing | 57 | mechanical | 12 | 0 | 12 |\n| 19 | 26 | marco andretti | andretti green racing | 43 | mechanical | 9 | 0 | 12 |\n| 20 | 15 | buddy rice | dreyer & reinbold racing | 37 | mechanical | 18 | 0 | 12 |" + } + ] + }, + { + "id": "table_recognition_train_item_52162", + "image": "table_instructV/images/TabFact_2-11758927-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| event name | established | category | sub category | main venue |\n| --- | --- | --- | --- | --- |\n| dieppe kite international | 2001 | sporting | kite flying | dover park |\n| the frye festival | 2000 | arts | literary | university of moncton |\n| hubcap comedy festival | 2000 | arts | comedy | various |\n| touchdown atlantic | 2010 | sporting | football | moncton stadium |\n| atlantic nationals automotive extravaganza | 2000 | transportation | automotive | moncton coliseum |\n| world wine & food expo | 1990 | arts | food & drink | moncton coliseum |\n| shediac lobster festival | 1950 | arts | food & drink | shediac festival grounds |\n| mosaã¯q multicultural festival | 2004 | festival | multicultural | moncton city hall plaza |" + } + ] + }, + { + "id": "table_recognition_train_item_117685", + "image": "table_instructV/images/Rotowire_train_table_3185.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Clippers | LA | 103 | 24 | 14 | 30 | 35 | 26 | 45 | 6 | 41 | 67 | 28 | 40 | 20 | | | | |\n| Thunder | Oklahoma City | 98 | 37 | 21 | 27 | 13 | 22 | 63 | 17 | 40 | 91 | 29 | 42 | 19 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Clippers | | | | | | | | | | | | | | | | | | |\n| Chris Paul | 40 | 21 | 4 | 13 | 8-17 | 47% | 1-4 | 25% | 4-4 | 100% | 1 | 2 | 1 | 1 | 3 | 4 | G | LA |\n| DeAndre Jordan | 36 | 20 | 18 | 2 | 8-13 | 62% | 0-0 | 0% | 4-7 | 57% | 1 | 0 | 1 | 6 | 12 | 0 | C | LA |\n| JJ Redick | 31 | 16 | 1 | 3 | 6-13 | 46% | 2-6 | 33% | 2-2 | 100% | 1 | 1 | 0 | 0 | 1 | 3 | G | LA |\n| Jamal Crawford | 32 | 12 | 2 | 2 | 5-14 | 36% | 0-4 | 0% | 2-3 | 67% | 1 | 0 | 0 | 1 | 1 | 0 | N/A | LA |\n| Wesley Johnson | 31 | 11 | 4 | 2 | 4-16 | 25% | 3-9 | 33% | 0-1 | 0% | 5 | 0 | 1 | 2 | 2 | 1 | N/A | LA |\n| Cole Aldrich | 12 | 8 | 6 | 0 | 4-5 | 80% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 6 | 0 | N/A | LA |\n| Austin Rivers | 19 | 6 | 3 | 1 | 2-8 | 25% | 0-2 | 0% | 2-4 | 50% | 1 | 1 | 0 | 1 | 2 | 1 | N/A | LA |\n| Paul Pierce | 15 | 6 | 4 | 1 | 2-4 | 50% | 2-3 | 67% | 0-0 | 0% | 0 | 0 | 0 | 1 | 3 | 1 | F | LA |\n| Pablo Prigioni | 8 | 3 | 1 | 0 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | LA |\n| Jeff Green | 17 | 0 | 2 | 2 | 0-7 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 3 | F | LA |\n| Alex Stepheson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |\n| CJ Wilcox | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |\n| Luc Mbah a Moute | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Kevin Durant | 39 | 30 | 11 | 5 | 12-27 | 44% | 3-12 | 25% | 3-4 | 75% | 0 | 6 | 5 | 0 | 11 | 2 | F | Oklahoma City |\n| Russell Westbrook | 37 | 24 | 6 | 12 | 8-21 | 38% | 2-7 | 29% | 6-6 | 100% | 1 | 5 | 0 | 0 | 6 | 4 | G | Oklahoma City |\n| Serge Ibaka | 33 | 11 | 11 | 2 | 5-16 | 31% | 0-1 | 0% | 1-1 | 100% | 1 | 2 | 0 | 4 | 7 | 3 | F | Oklahoma City |\n| Randy Foye | 26 | 8 | 4 | 2 | 3-4 | 75% | 2-3 | 67% | 0-0 | 0% | 1 | 2 | 2 | 0 | 4 | 1 | N/A | Oklahoma City |\n| Enes Kanter | 15 | 8 | 8 | 0 | 4-9 | 44% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 3 | 5 | 0 | N/A | Oklahoma City |\n| Steven Adams | 27 | 6 | 9 | 0 | 3-4 | 75% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 6 | 3 | 1 | C | Oklahoma City |\n| Dion Waiters | 27 | 6 | 2 | 0 | 2-9 | 22% | 2-6 | 33% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 2 | N/A | Oklahoma City |\n| Kyle Singler | 12 | 3 | 4 | 0 | 1-2 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 3 | 1 | 4 | N/A | Oklahoma City |\n| Cameron Payne | 3 | 2 | 1 | 1 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 1 | N/A | Oklahoma City |\n| Andre Roberson | 22 | 0 | 7 | 0 | 0-4 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 6 | 3 | G | Oklahoma City |\n| Mitch McGary | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Nick Collison | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Anthony Morrow | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |" + } + ] + }, + { + "id": "table_recognition_train_item_33628", + "image": "table_instructV/images/TABMWP_31063.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of bracelets | Number of garnets |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_33086", + "image": "table_instructV/images/TABMWP_25688.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $185 | 18,600 | 1,800 |\n| $325 | 14,300 | 5,500 |\n| $465 | 10,000 | 9,200 |\n| $605 | 5,700 | 12,900 |\n| $745 | 1,400 | 16,600 |" + } + ] + }, + { + "id": "table_recognition_train_item_49502", + "image": "table_instructV/images/TAT-QA_b9e0a593-dc47-461e-beff-ee29cec5c92a.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | December 31, | |\n| --- | --- | --- |\n| | 2019 | 2018 |\n| Current: | | |\n| Domains | $752.7 | $686.3 |\n| Hosting and presence | 526.7 | 483.3 |\n| Business applications | 265.0 | 224.1 |\n| | $1,544.4 | $1,393.7 |\n| Noncurrent: | | |\n| Domains | $382.2 | $365.8 |\n| Hosting and presence | 187.2 | 180.6 |\n| Business applications | 85.0 | 77.4 |\n| | $ 654.4 | $623.8 |" + } + ] + }, + { + "id": "table_recognition_train_item_63776", + "image": "table_instructV/images/TabFact_1-23963781-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| name | nationality | position | athletica career | appearances | starts | minutes | goals | assists |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| eniola aluko | england | fw | 2009 - | 19 | 17 | 1503 | 6 | 4 |\n| lori chalupny | united states | mf | 2009 - | 18 | 18 | 1575 | 2 | 1 |\n| amanda cinalli | united states | fw | 2009 | 12 | 12 | 917 | 2 | 1 |\n| niki cross | united states | df | 2009 | 11 | 8 | 616 | 1 | 0 |\n| daniela | brazil | mf | 2009 | 4 | 4 | 318 | 2 | 0 |\n| tina ellertson | united states | df | 2009 - | 20 | 20 | 1748 | 0 | 0 |\n| kendall fletcher | united states | df | 2009 - | 16 | 15 | 1338 | 0 | 3 |\n| francielle | brazil | mf | 2009 | 6 | 3 | 323 | 0 | 0 |\n| sheree gray | united states | df | 2009 | 5 | 1 | 144 | 0 | 0 |\n| kerri hanks | united states | fw | 2009 | 10 | 6 | 573 | 1 | 1 |\n| erin kane | united states | gk | 2009 | 0 | 0 | 0 | 0 | 0 |\n| sara larsson | sweden | df | 2009 | 15 | 12 | 1047 | 0 | 0 |\n| stephanie logterman | united states | df | 2009 - | 13 | 8 | 870 | 0 | 0 |\n| jillian loyden | united states | gk | 2009 - | 3 | 3 | 270 | 0 | 0 |\n| kia mcneill | united states | df | 2009 - | 19 | 17 | 1405 | 0 | 0 |\n| ashlee pistorius | united states | fw | 2009 | 4 | 0 | 52 | 0 | 0 |\n| hope solo | united states | gk | 2009 - | 17 | 17 | 1530 | 0 | 0 |\n| lisa stoia | united states | mf | 2009 | 12 | 9 | 863 | 0 | 0 |\n| melissa tancredi | canada | fw | 2009 | 14 | 9 | 824 | 0 | 2 |\n| lydia vandenbergh | united states | mf | 2009 | 0 | 0 | 0 | 0 | 0 |\n| sarah walsh | australia | fw | 2009 | 6 | 2 | 250 | 0 | 1 |\n| erin walter | united states | mf | 2009 | 6 | 0 | 192 | 0 | 0 |\n| elise weber | united states | df | 2009 - | 18 | 14 | 1279 | 1 | 0 |\n| christie welsh | united states | fw | 2009 | 11 | 7 | 591 | 3 | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_111533", + "image": "table_instructV/images/Rotowire_train_table_109.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Jazz | Utah | 105 | 23 | 29 | 21 | 32 | 16 | 51 | 13 | 47 | 67 | 39 | 32 | 19 | | | | |\n| Hornets | Charlotte | 98 | 28 | 16 | 38 | 16 | 20 | 38 | 9 | 43 | 83 | 39 | 23 | 28 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Jazz | | | | | | | | | | | | | | | | | | |\n| Gordon Hayward | 37 | 33 | 8 | 2 | 13-20 | 65% | 2-4 | 50% | 5-6 | 83% | 1 | 2 | 0 | 1 | 7 | 1 | F | Utah |\n| George Hill | 32 | 25 | 1 | 1 | 8-11 | 73% | 5-8 | 63% | 4-4 | 100% | 0 | 0 | 1 | 0 | 1 | 4 | G | Utah |\n| Joe Johnson | 30 | 18 | 6 | 4 | 7-12 | 58% | 4-7 | 57% | 0-0 | 0% | 0 | 2 | 0 | 2 | 4 | 0 | N/A | Utah |\n| Dante Exum | 22 | 11 | 1 | 3 | 5-12 | 42% | 1-4 | 25% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 4 | N/A | Utah |\n| Rudy Gobert | 38 | 8 | 15 | 2 | 2-5 | 40% | 0-0 | 0% | 4-8 | 50% | 2 | 1 | 3 | 6 | 9 | 3 | C | Utah |\n| Joe Ingles | 30 | 4 | 9 | 2 | 1-6 | 17% | 1-6 | 17% | 1-2 | 50% | 0 | 3 | 0 | 0 | 9 | 0 | G | Utah |\n| Alec Burks | 20 | 3 | 1 | 0 | 1-9 | 11% | 0-3 | 0% | 1-2 | 50% | 1 | 1 | 0 | 1 | 0 | 4 | N/A | Utah |\n| Derrick Favors | 10 | 2 | 4 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 4 | 0 | N/A | Utah |\n| Trey Lyles | 11 | 1 | 5 | 0 | 0-2 | 0% | 0-1 | 0% | 1-2 | 50% | 0 | 1 | 0 | 1 | 4 | 2 | N/A | Utah |\n| Boris Diaw | 11 | 0 | 1 | 1 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 0 | F | Utah |\n| Raul Neto | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Jeff Withey | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Shelvin Mack | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Kemba Walker | 35 | 18 | 2 | 6 | 6-17 | 35% | 3-8 | 38% | 3-3 | 100% | 0 | 2 | 0 | 1 | 1 | 1 | G | Charlotte |\n| Marvin Williams | 38 | 16 | 12 | 1 | 5-10 | 50% | 3-6 | 50% | 3-4 | 75% | 3 | 1 | 1 | 0 | 12 | 2 | F | Charlotte |\n| Frank Kaminsky | 32 | 15 | 2 | 1 | 6-15 | 40% | 3-6 | 50% | 0-0 | 0% | 2 | 1 | 0 | 0 | 2 | 6 | C | Charlotte |\n| Marco Belinelli | 24 | 13 | 2 | 0 | 4-9 | 44% | 3-6 | 50% | 2-2 | 100% | 0 | 1 | 0 | 0 | 2 | 0 | N/A | Charlotte |\n| Jeremy Lamb | 15 | 12 | 2 | 1 | 4-8 | 50% | 0-3 | 0% | 4-5 | 80% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Charlotte |\n| Nicolas Batum | 33 | 11 | 3 | 6 | 4-9 | 44% | 1-3 | 33% | 2-2 | 100% | 0 | 4 | 0 | 0 | 3 | 2 | G | Charlotte |\n| Michael Kidd-Gilchrist | 29 | 7 | 6 | 1 | 3-6 | 50% | 0-0 | 0% | 1-2 | 50% | 2 | 0 | 0 | 0 | 6 | 3 | F | Charlotte |\n| Miles Plumlee | 18 | 4 | 8 | 0 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 2 | 2 | 6 | 3 | N/A | Charlotte |\n| Brian Roberts | 13 | 2 | 1 | 4 | 1-5 | 20% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Charlotte |\n| Treveon Graham | 3 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Charlotte |\n| Mike Tobey | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Ray McCallum | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Christian Wood | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |" + } + ] + }, + { + "id": "table_recognition_train_item_50718", + "image": "table_instructV/images/TAT-QA_038285b3-ff84-4a86-9123-9925d5d0627b.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| | CONSOLIDATED | |\n| --- | --- | --- |\n| | 2019 $’000 | 2018 $’000 |\n| Current | | |\n| Annual leave | 2,349 | 2,233 |\n| Long service leave | 830 | 781 |\n| Clawback | 2,715 | 2,463 |\n| Rebates | 241 | 224 |\n| | 6,135 | 5,701 |\n| Non-Current | | |\n| Long service leave | 418 | 343 |\n| | 418 | 343 |" + } + ] + }, + { + "id": "table_recognition_train_item_104337", + "image": "table_instructV/images/ToTTo_train_table_18200.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Commerce | Science | | Humanities |\n| --- | --- | --- | --- |\n| English | English | | English |\n| Accountancy | Physics | | Geography |\n| Business Studies | Chemistry | | History |\n| Economics/Pol Science | Mathematics/IP/Hindi | | Economics/Pol Science |\n| IP/Maths/Hindi/Painting | CS/Biology | | IP/Hindi/Painting |\n| PE | PE | | PE |" + } + ] + }, + { + "id": "table_recognition_train_item_113087", + "image": "table_instructV/images/Rotowire_train_table_886.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Thunder | Oklahoma City | 111 | 24 | 24 | 35 | 28 | 19 | 47 | 17 | 52 | 89 | 35 | 51 | 22 | | | | |\n| Spurs | San Antonio | 92 | 26 | 18 | 19 | 29 | 14 | 34 | 12 | 43 | 82 | 27 | 61 | 12 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Kevin Durant | 32 | 31 | 10 | 3 | 13-20 | 65% | 5-7 | 71% | 0-0 | 0% | 0 | 5 | 0 | 1 | 9 | 3 | F | Oklahoma City |\n| Russell Westbrook | 34 | 29 | 6 | 8 | 10-18 | 56% | 0-2 | 0% | 9-9 | 100% | 1 | 2 | 0 | 2 | 4 | 1 | G | Oklahoma City |\n| Enes Kanter | 21 | 20 | 10 | 0 | 7-12 | 58% | 0-0 | 0% | 6-7 | 86% | 1 | 2 | 1 | 6 | 4 | 2 | N/A | Oklahoma City |\n| Serge Ibaka | 35 | 15 | 8 | 1 | 7-12 | 58% | 1-4 | 25% | 0-0 | 0% | 0 | 1 | 4 | 0 | 8 | 0 | F | Oklahoma City |\n| Steven Adams | 27 | 9 | 6 | 1 | 4-5 | 80% | 0-0 | 0% | 1-2 | 50% | 1 | 3 | 0 | 3 | 3 | 3 | C | Oklahoma City |\n| Andre Roberson | 31 | 5 | 4 | 2 | 2-2 | 100% | 1-1 | 100% | 0-0 | 0% | 2 | 0 | 0 | 1 | 3 | 0 | G | Oklahoma City |\n| Randy Foye | 22 | 2 | 1 | 1 | 1-6 | 17% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Oklahoma City |\n| Dion Waiters | 18 | 0 | 0 | 0 | 0-4 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 2 | N/A | Oklahoma City |\n| Cameron Payne | 14 | 0 | 2 | 3 | 0-5 | 0% | 0-3 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 3 | N/A | Oklahoma City |\n| Kyle Singler | 7 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 3 | N/A | Oklahoma City |\n| Nazr Mohammed | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Anthony Morrow | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Nick Collison | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| David West | 24 | 17 | 6 | 3 | 7-16 | 44% | 0-0 | 0% | 3-3 | 100% | 0 | 1 | 1 | 4 | 2 | 2 | N/A | San Antonio |\n| Jonathon Simmons | 29 | 17 | 1 | 1 | 7-11 | 64% | 1-1 | 100% | 2-4 | 50% | 1 | 0 | 0 | 0 | 1 | 2 | N/A | San Antonio |\n| Boban Marjanovic | 27 | 13 | 6 | 1 | 5-12 | 42% | 0-0 | 0% | 3-4 | 75% | 1 | 2 | 1 | 3 | 3 | 0 | C | San Antonio |\n| Andre Miller | 19 | 11 | 8 | 2 | 4-7 | 57% | 0-0 | 0% | 3-3 | 100% | 1 | 3 | 0 | 2 | 6 | 3 | N/A | San Antonio |\n| Boris Diaw | 27 | 10 | 4 | 1 | 4-6 | 67% | 0-2 | 0% | 2-2 | 100% | 0 | 1 | 0 | 1 | 3 | 2 | F | San Antonio |\n| Patty Mills | 31 | 10 | 2 | 0 | 4-10 | 40% | 2-6 | 33% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 3 | G | San Antonio |\n| Kyle Anderson | 30 | 7 | 5 | 3 | 3-7 | 43% | 1-1 | 100% | 0-0 | 0% | 3 | 2 | 0 | 1 | 4 | 2 | F | San Antonio |\n| Kevin Martin | 18 | 3 | 0 | 0 | 1-9 | 11% | 0-1 | 0% | 1-1 | 100% | 1 | 1 | 1 | 0 | 0 | 0 | N/A | San Antonio |\n| Danny Green | 22 | 2 | 2 | 2 | 1-6 | 17% | 0-4 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 1 | 2 | G | San Antonio |\n| Matt Bonner | 12 | 2 | 0 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | San Antonio |\n| Kawhi Leonard | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| LaMarcus Aldridge | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Tony Parker | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |" + } + ] + }, + { + "id": "table_recognition_train_item_56858", + "image": "table_instructV/images/TabFact_1-16423070-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| school year | volleyball | cross country | soccer | tennis | golf | basketball | swimming | softball | track & field |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2003 - 04 | orrville | ashland | lexington | lexington | began in 2013 | orrville | wooster | ashland | lexington |\n| 2004 - 05 | orrville , madison , lexington , west holmes | ashland | ashland | lexington | n / a | orrville | lexington | lexington | lexington |\n| 2005 - 06 | wooster | lexington | ashland | lexington | n / a | wooster | wooster | clear fork | ashland |\n| 2006 - 07 | wooster | ashland | ashland | lexington | n / a | lexington | wooster | ashland | ashland |\n| 2007 - 08 | wooster | lexington | ashland | lexington | n / a | west holmes | wooster | clear fork , wooster | orrville |\n| 2008 - 09 | madison | wooster | ashland | lexington | n / a | west holmes | wooster | clear fork , lexington | ashland |\n| 2009 - 10 | lexington , madison , orrville | lexington | lexington , wooster | lexington | n / a | orrville | wooster | clear fork | ashland |\n| 2010 - 11 | madison | lexington | clear fork | lexington | n / a | west holmes | lexington | clear fork | ashland |\n| 2011 - 12 | madison | lexington | wooster | lexington | n / a | west holmes | wooster | orrville | orrville |\n| 2012 - 13 | lexington | lexington | ashland | lexington | n / a | west holmes | wooster | madison | west holmes |" + } + ] + }, + { + "id": "table_recognition_train_item_52742", + "image": "table_instructV/images/TabFact_2-15620088-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| airline | airline (in arabic) | icao | callsign | commenced operations |\n| --- | --- | --- | --- | --- |\n| karthago airlines | قرطاج للطيران | kaj | karthago | 2001 |\n| nouvelair | الطيران الجديد تونس | lbt | nouvelair | 1989 |\n| tunisair express | الخطوط التونسية السريعة | tux | tunexpress | 1991 |\n| syphax airlines | سيفاكس أيرلاينز | sya | syphaxair | 2011 |\n| tunisair | الخطوط التونسية | tar | tunair | 1948 |\n| tunisavia | الشركة التونسية للنقل و الخدمات الجوية | taj | tunisavia | 2010 |" + } + ] + }, + { + "id": "table_recognition_train_item_50590", + "image": "table_instructV/images/TAT-QA_76ce05c3-8d33-4fd8-9c6e-73c9486a8a8d.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| £m | 2018/19 | 2017/18 | Change |\n| --- | --- | --- | --- |\n| Overseas current tax | | | |\n| Current year | 1.1 | 0.8 | 0.3 |\n| Deferred tax | | | |\n| Current period | 6.1 | (4.1) | 10.2 |\n| Prior periods | 1.7 | (8.1) | 9.8 |\n| – Adjustment to restate opening deferred tax at 17.0% | – | (2.3) | 2.3 |\n| Income tax credit/ (charge) | 8.9 | (13.7) | 22.6 |" + } + ] + }, + { + "id": "table_recognition_train_item_33295", + "image": "table_instructV/images/TABMWP_27997.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Number of twigs | Number of snails |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | 10 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_60622", + "image": "table_instructV/images/TabFact_2-14076814-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| games | drawn | lost | points difference | points |\n| --- | --- | --- | --- | --- |\n| 5 | 0 | 1 | 29 - 14 | 8 |\n| 5 | 1 | 1 | 23 - 13 | 7 |\n| 5 | 0 | 2 | 15 - 13 | 6 |\n| 5 | 0 | 3 | 12 - 23 | 4 |\n| 5 | 0 | 3 | 08 - 17 | 4 |\n| 5 | 1 | 4 | 11 - 18 | 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_68602", + "image": "table_instructV/images/TabFact_1-23249053-11.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 61 | march 1 | philadelphia | w 126 - 105 (ot) | jameer nelson (22) | vince carter (7) | jameer nelson (10) | wachovia center 15817 | 41 - 20 |\n| 62 | march 3 | golden state | w 117 - 90 (ot) | dwight howard (28) | dwight howard (12) | jameer nelson (4) | amway arena 17461 | 42 - 20 |\n| 63 | march 5 | new jersey | w 97 - 87 (ot) | matt barnes (16) | dwight howard (16) | jameer nelson (8) | izod center 15320 | 43 - 20 |\n| 64 | march 7 | la lakers | w 96 - 94 (ot) | vince carter (25) | dwight howard (16) | jameer nelson (7) | amway arena 17461 | 44 - 20 |\n| 65 | march 9 | la clippers | w 113 - 87 (ot) | dwight howard (22) | dwight howard (15) | jameer nelson (8) | amway arena 17461 | 45 - 20 |\n| 66 | march 11 | chicago | w 111 - 82 (ot) | vince carter (23) | marcin gortat (11) | j j redick , jason williams (4) | amway arena 17461 | 46 - 20 |\n| 67 | march 13 | washington | w 109 - 95 (ot) | dwight howard (28) | dwight howard (15) | jameer nelson (8) | verizon center 20173 | 47 - 20 |\n| 68 | march 14 | charlotte | l 89 - 96 (ot) | dwight howard (27) | dwight howard (16) | vince carter (6) | amway arena 17461 | 47 - 21 |\n| 69 | march 17 | san antonio | w 110 - 84 (ot) | vince carter (24) | marcin gortat (10) | vince carter (8) | amway arena 17461 | 48 - 21 |\n| 70 | march 18 | miami | w 108 - 102 (ot) | vince carter (27) | dwight howard , rashard lewis (11) | vince carter (6) | american airlines arena 18874 | 49 - 21 |\n| 71 | march 22 | philadelphia | w 109 - 93 (ot) | rashard lewis (24) | dwight howard (15) | jameer nelson (6) | wachovia center 13995 | 50 - 21 |\n| 72 | march 24 | atlanta | l 84 - 86 (ot) | jameer nelson (20) | dwight howard (24) | jameer nelson (8) | philips arena 16887 | 50 - 22 |\n| 73 | march 26 | minnesota | w 106 - 97 (ot) | dwight howard (24) | dwight howard (19) | jameer nelson (7) | amway arena 17461 | 51 - 22 |" + } + ] + }, + { + "id": "table_recognition_train_item_63392", + "image": "table_instructV/images/TabFact_1-20877272-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | club | played | won | drawn | lost | points for | points against | difference | points |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | asv köln rugby | 16 | 12 | 2 | 2 | 484 | 118 | 366 | 41 |\n| 2 | stuttgarter rc | 16 | 13 | 1 | 2 | 339 | 190 | 149 | 39 |\n| 3 | tsv handschuhsheim ii | 16 | 10 | 0 | 6 | 377 | 276 | 101 | 35 |\n| 4 | sc 1880 frankfurt ii | 16 | 8 | 1 | 7 | 415 | 245 | 170 | 33 |\n| 5 | münchen rfc | 16 | 7 | 2 | 7 | 261 | 282 | - 21 | 31 |\n| 6 | stusta münchen | 16 | 5 | 1 | 10 | 238 | 405 | - 167 | 27 |\n| 7 | heidelberger tv | 16 | 5 | 0 | 11 | 253 | 377 | - 124 | 26 |\n| 8 | rg heidelberg ii | 16 | 5 | 0 | 11 | 274 | 440 | - 166 | 25 |" + } + ] + }, + { + "id": "table_recognition_train_item_32565", + "image": "table_instructV/images/TABMWP_19325.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Option | Change in phone price |\n| --- | --- |\n| Add an upgrade | $60 |\n| Buy a used phone | -$75 |" + } + ] + }, + { + "id": "table_recognition_train_item_114033", + "image": "table_instructV/images/Rotowire_train_table_1359.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Heat | Miami | 91 | 25 | 25 | 19 | 22 | 20 | 51 | 22 | 46 | 47 | 21 | 6 | 4 | | | | |\n| Timberwolves | Minnesota | 103 | 20 | 25 | 17 | 41 | 14 | 54 | 8 | 37 | 77 | 19 | 5 | 6 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Hassan Whiteside | 34 | 22 | 14 | 0 | 10-14 | 71% | 0-0 | 0% | 2-9 | 22% | 0 | 4 | 10 | 4 | 10 | 2 | C | Miami |\n| Luol Deng | 33 | 20 | 6 | 1 | 8-14 | 57% | 3-8 | 38% | 1-3 | 33% | 0 | 0 | 1 | 0 | 6 | 2 | F | Miami |\n| Goran Dragic | 36 | 16 | 2 | 9 | 5-12 | 42% | 1-4 | 25% | 5-7 | 71% | 1 | 2 | 0 | 0 | 2 | 6 | G | Miami |\n| Chris Bosh | 32 | 10 | 7 | 0 | 5-12 | 42% | 0-5 | 0% | 0-0 | 0% | 0 | 1 | 1 | 2 | 5 | 2 | F | Miami |\n| Dwyane Wade | 32 | 10 | 2 | 6 | 5-13 | 39% | 0-1 | 0% | 0-0 | 0% | 1 | 5 | 0 | 1 | 1 | 1 | G | Miami |\n| Justise Winslow | 31 | 8 | 11 | 1 | 1-2 | 50% | 1-2 | 50% | 5-10 | 50% | 1 | 6 | 0 | 1 | 10 | 5 | N/A | Miami |\n| Tyler Johnson | 18 | 3 | 2 | 1 | 1-6 | 17% | 0-2 | 0% | 1-1 | 100% | 0 | 1 | 0 | 1 | 1 | 2 | N/A | Miami |\n| Gerald Green | 12 | 2 | 4 | 1 | 1-5 | 20% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 3 | 3 | N/A | Miami |\n| Josh McRoberts | 12 | 0 | 3 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 0 | 0 | 3 | 3 | N/A | Miami |\n| Amar'e Stoudemire | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Beno Udrih | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Udonis Haslem | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Josh Richardson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Andrew Wiggins | 33 | 24 | 3 | 1 | 8-21 | 38% | 0-1 | 0% | 8-11 | 73% | 3 | 1 | 1 | 2 | 1 | 1 | G | Minnesota |\n| Zach LaVine | 28 | 17 | 4 | 3 | 5-12 | 42% | 2-5 | 40% | 5-6 | 83% | 1 | 0 | 0 | 0 | 4 | 0 | N/A | Minnesota |\n| Shabazz Muhammad | 20 | 16 | 0 | 2 | 6-8 | 75% | 2-3 | 67% | 2-2 | 100% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Minnesota |\n| Karl-Anthony Towns | 26 | 14 | 14 | 0 | 6-12 | 50% | 0-0 | 0% | 2-2 | 100% | 2 | 4 | 1 | 5 | 9 | 4 | C | Minnesota |\n| Kevin Martin | 23 | 8 | 4 | 0 | 2-11 | 18% | 0-4 | 0% | 4-4 | 100% | 1 | 0 | 0 | 1 | 3 | 1 | N/A | Minnesota |\n| Adreian Payne | 17 | 8 | 4 | 0 | 4-7 | 57% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 3 | 4 | N/A | Minnesota |\n| Ricky Rubio | 27 | 7 | 4 | 3 | 1-7 | 14% | 0-2 | 0% | 5-8 | 63% | 2 | 1 | 1 | 1 | 3 | 5 | G | Minnesota |\n| Gorgui Dieng | 22 | 5 | 6 | 1 | 2-8 | 25% | 0-0 | 0% | 1-2 | 50% | 2 | 1 | 0 | 2 | 4 | 4 | N/A | Minnesota |\n| Kevin Garnett | 15 | 4 | 7 | 2 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 6 | 1 | F | Minnesota |\n| Tayshaun Prince | 13 | 0 | 4 | 2 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 2 | 2 | 2 | F | Minnesota |\n| Nemanja Bjelica | 16 | 0 | 4 | 0 | 0-7 | 0% | 0-5 | 0% | 0-0 | 0% | 0 | 0 | 2 | 0 | 4 | 3 | N/A | Minnesota |\n| Andre Miller | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Damjan Rudez | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |" + } + ] + }, + { + "id": "table_recognition_train_item_117211", + "image": "table_instructV/images/Rotowire_train_table_2948.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kings | Sacramento | 106 | 25 | 29 | 31 | 21 | 24 | 31 | 13 | 46 | 76 | 35 | 2 | 1 | | | | |\n| Timberwolves | Minnesota | 103 | 34 | 31 | 12 | 26 | 19 | 36 | 11 | 53 | 71 | 32 | 0 | 2 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Kings | | | | | | | | | | | | | | | | | | |\n| DeMarcus Cousins | 33 | 29 | 7 | 4 | 9-16 | 56% | 0-2 | 0% | 11-14 | 79% | 1 | 3 | 0 | 5 | 2 | 6 | F | Sacramento |\n| Rudy Gay | 33 | 28 | 6 | 2 | 11-20 | 55% | 0-0 | 0% | 6-8 | 75% | 1 | 2 | 2 | 2 | 4 | 3 | F | Sacramento |\n| Ben McLemore | 18 | 13 | 0 | 0 | 5-10 | 50% | 2-4 | 50% | 1-1 | 100% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Sacramento |\n| Matt Barnes | 27 | 12 | 5 | 9 | 4-10 | 40% | 3-6 | 50% | 1-2 | 50% | 1 | 2 | 1 | 0 | 5 | 4 | N/A | Sacramento |\n| Ty Lawson | 34 | 8 | 1 | 5 | 3-10 | 30% | 2-5 | 40% | 0-0 | 0% | 3 | 2 | 0 | 0 | 1 | 2 | G | Sacramento |\n| Arron Afflalo | 30 | 5 | 0 | 2 | 2-6 | 33% | 1-4 | 25% | 0-0 | 0% | 0 | 0 | 1 | 0 | 0 | 2 | G | Sacramento |\n| Kosta Koufos | 20 | 4 | 7 | 0 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 3 | 4 | 3 | C | Sacramento |\n| Willie Cauley-Stein | 8 | 4 | 0 | 0 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Sacramento |\n| Garrett Temple | 14 | 3 | 0 | 0 | 1-3 | 33% | 1-3 | 33% | 0-0 | 0% | 0 | 1 | 1 | 0 | 0 | 0 | N/A | Sacramento |\n| Anthony Tolliver | 13 | 0 | 2 | 2 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 1 | N/A | Sacramento |\n| Omri Casspi | 10 | 0 | 3 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 1 | N/A | Sacramento |\n| Darren Collison | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Malachi Richardson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Andrew Wiggins | 37 | 29 | 1 | 0 | 10-20 | 50% | 1-5 | 20% | 8-11 | 73% | 1 | 3 | 1 | 0 | 1 | 2 | F | Minnesota |\n| Zach LaVine | 37 | 21 | 5 | 2 | 7-14 | 50% | 3-7 | 43% | 4-4 | 100% | 0 | 1 | 0 | 0 | 5 | 3 | G | Minnesota |\n| Karl-Anthony Towns | 37 | 15 | 6 | 4 | 7-12 | 58% | 1-2 | 50% | 0-2 | 0% | 2 | 1 | 1 | 2 | 4 | 5 | C | Minnesota |\n| Gorgui Dieng | 35 | 14 | 13 | 2 | 5-9 | 56% | 0-1 | 0% | 4-4 | 100% | 0 | 1 | 2 | 4 | 9 | 4 | F | Minnesota |\n| Shabazz Muhammad | 11 | 9 | 1 | 1 | 3-3 | 100% | 0-0 | 0% | 3-3 | 100% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Minnesota |\n| Brandon Rush | 12 | 5 | 1 | 0 | 2-3 | 67% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Minnesota |\n| Ricky Rubio | 28 | 5 | 1 | 5 | 2-4 | 50% | 0-1 | 0% | 1-1 | 100% | 3 | 1 | 0 | 0 | 1 | 3 | G | Minnesota |\n| Kris Dunn | 20 | 4 | 1 | 4 | 1-2 | 50% | 1-1 | 100% | 1-4 | 25% | 0 | 1 | 0 | 0 | 1 | 2 | N/A | Minnesota |\n| Nemanja Bjelica | 13 | 1 | 2 | 1 | 0-3 | 0% | 0-3 | 0% | 1-2 | 50% | 0 | 2 | 1 | 0 | 2 | 3 | N/A | Minnesota |\n| Cole Aldrich | 12 | 0 | 5 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 4 | 3 | N/A | Minnesota |\n| Tyus Jones | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Jordan Hill | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Adreian Payne | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |" + } + ] + }, + { + "id": "table_recognition_train_item_32548", + "image": "table_instructV/images/TABMWP_19144.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Dog | Weight change (oz.) |\n| --- | --- |\n| Sprinkles | 5 |\n| Champ | -6 |" + } + ] + }, + { + "id": "table_recognition_train_item_52426", + "image": "table_instructV/images/TabFact_2-18409087-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| game | date | opponent | score | location / attendance | record |\n| --- | --- | --- | --- | --- | --- |\n| 38 | january 2 | chicago | 106 - 88 | chicago stadium | 23 - 15 |\n| 39 | january 3 | detroit | 128 - 106 | cobo arena | 24 - 15 |\n| 40 | january 4 | la lakers | 111 - 121 | alexander memorial coliseum | 24 - 16 |\n| 41 | january 5 | phoenix | 97 - 96 | alexander memorial coliseum | 25 - 16 |\n| 42 | january 8 | philadelphia | 111 - 112 | the spectrum | 25 - 17 |\n| 43 | january 10 | detroit | 104 - 101 | alexander memorial coliseum | 26 - 17 |\n| 44 | january 11 | la lakers | 104 - 100 | alexander memorial coliseum | 27 - 17 |\n| 45 | january 16 | phoenix | 112 - 107 | columbia , sc | 28 - 17 |\n| 46 | january 17 | phoenix | 112 - 107 | alexander memorial coliseum | 29 - 17 |\n| 47 | january 19 | new york | 100 - 96 | alexander memorial coliseum | 30 - 17 |\n| 48 | january 21 | san diego | 113 - 124 | san diego sports arena | 30 - 18 |\n| 49 | january 22 | phoenix | 125 - 107 | arizona veterans memorial coliseum | 31 - 18 |\n| 50 | january 24 | la lakers | 110 - 106 | alexander memorial coliseum | 32 - 18 |\n| 51 | january 25 | baltimore | 112 - 109 | baltimore civic center | 33 - 18 |\n| 52 | january 26 | philadelphia | 115 - 119 | alexander memorial coliseum | 33 - 19 |\n| 53 | january 28 | boston | 96 - 108 | boston garden | 33 - 20 |\n| 54 | january 29 | philadelphia | 96 - 119 | the spectrum | 33 - 21 |\n| 55 | january 31 | seattle | 112 - 119 | alexander memorial coliseum | 33 - 22 |" + } + ] + }, + { + "id": "table_recognition_train_item_30763", + "image": "table_instructV/images/TABMWP_258.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of trays | Number of jelly donuts |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | 20 |\n| 5 | 25 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_34038", + "image": "table_instructV/images/TABMWP_35393.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of offices | Number of telephones |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | 10 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_31555", + "image": "table_instructV/images/TABMWP_8657.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $670 | 17,600 | 10,500 |\n| $860 | 14,300 | 13,400 |\n| $1,050 | 11,000 | 16,300 |\n| $1,240 | 7,700 | 19,200 |\n| $1,430 | 4,400 | 22,100 |" + } + ] + }, + { + "id": "table_recognition_train_item_69120", + "image": "table_instructV/images/TabFact_2-16518708-11.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| date | opponent | site | result | attendance |\n| --- | --- | --- | --- | --- |\n| 09 / 22 / 1945 | missouri | memorial stadium minneapolis , mn | w34 - 0 | 34246 |\n| 10 / 06 / 1945 | nebraska | memorial stadium lincoln , ne | w61 - 7 | 25000 |\n| 10 / 13 / 1945 | fort warren | memorial stadium minneapolis , mn | w14 - 0 | 32465 |\n| 10 / 20 / 1945 | northwestern | memorial stadium minneapolis , mn | w30 - 7 | 55940 |\n| 10 / 27 / 1945 | 12 ohio state | memorial stadium minneapolis , mn | l7 - 20 | 56000 |\n| 11 / 03 / 1945 | 10 michigan | michigan stadium ann arbor , mi | l0 - 26 | 84472 |\n| 11 / 10 / 1945 | indiana | memorial stadium minneapolis , mn | l0 - 49 | 41400 |\n| 11 / 17 / 1945 | iowa | iowa stadium iowa city , ia | l19 - 20 | 13880 |\n| 11 / 24 / 1945 | wisconsin | memorial stadium minneapolis , mn | l12 - 26 | 34800 |" + } + ] + }, + { + "id": "table_recognition_train_item_102355", + "image": "table_instructV/images/ToTTo_train_table_9874.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| No. | Date | Tournament | Winning score | Margin of victory | Runner(s)-up |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 12 May 1996 | Peugeot Spanish Open | −16 (70-64-67-71=272) | 4 strokes | Scotland Gordon Brand Jnr |\n| 2 | 2 Apr 2000 | Brazil São Paulo 500 Years Open | −14 (69-68-65-68=270) | 2 strokes | United States Gerry Norquist |\n| 3 | 22 Oct 2000 | BBVA Open Turespaña Masters Comunidad de Madrid | −21 (67-64-66-70=267) | 2 strokes | Scotland Gary Orr |\n| 4 | 11 Nov 2001 | Volvo Masters Andalucia | −12 (67-71-66=204) | 1 stroke | Republic of Ireland Paul McGinley |\n| 5 | 6 Oct 2002 | Dunhill Links Championship | −19 (66-66-68-69=269) | Playoff | Argentina Eduardo Romero |\n| 6 | 24 Nov 2002 (2003 season) | BMW Asian Open1 | −15 (66-70-68-69=273) | 1 stroke | India Jyoti Randhawa |\n| 7 | 18 May 2003 | Deutsche Bank - SAP Open TPC of Europe | −19 (65-66-70-68=269) | Playoff | Denmark Thomas Bjørn |\n| 8 | 7 Dec 2003 (2004 season) | Omega Hong Kong Open1 | −13 (66-75-64-70=275) | 1 stroke | South Africa Hennie Otto |\n| 9 | 12 Sep 2004 | Linde German Masters | −11 (67-69-67-66=269) | 3 strokes | Australia Nick O'Hern |\n| 10 | 8 Oct 2006 | Alfred Dunhill Links Championship (2) | −17 (66-69-68-68=271) | 5 strokes | Wales Bradley Dredge, United States Edward Loar, England Anthony Wall |\n| 11 | 20 May 2007 | Irish Open | −5 (73-68-71-71=283) | Playoff | Wales Bradley Dredge |\n| 12 | 22 Jul 2007 | The Open Championship | −7 (69-73-68-67=277) | Playoff | Spain Sergio García |\n| 13 | 20 Jul 2008 | The Open Championship (2) | +3 (74-68-72-69=283) | 4 strokes | England Ian Poulter |\n| 14 | 10 Aug 2008 | PGA Championship | −3 (71-74-66-66=277) | 2 strokes | Spain Sergio García, United States Ben Curtis |\n| 15 | 23 Oct 2016 | Portugal Masters | −23 (66-63-67-65=261) | 1 stroke | England Andy Sullivan |" + } + ] + }, + { + "id": "table_recognition_train_item_56278", + "image": "table_instructV/images/TabFact_2-14609625-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | game site | record | attendance |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | september 3 , 2000 | carolina panthers | w 20 - 17 | fedex field | 1 - 0 | 80257 |\n| 2 | september 10 , 2000 | detroit lions | l 15 - 10 | pontiac silverdome | 1 - 1 | 74159 |\n| 3 | september 18 , 2000 | dallas cowboys | l 27 - 21 | fedex field | 1 - 2 | 84431 |\n| 4 | september 24 , 2000 | new york giants | w 16 - 6 | giants stadium | 2 - 2 | 78216 |\n| 5 | october 1 , 2000 | tampa bay buccaneers | w 20 - 17 | fedex field | 3 - 2 | 83532 |\n| 6 | october 8 , 2000 | philadelphia eagles | w 17 - 14 | veterans stadium | 4 - 2 | 65491 |\n| 7 | october 15 , 2000 | baltimore ravens | w 10 - 3 | fedexfield | 5 - 2 | 83252 |\n| 8 | october 22 , 2000 | jacksonville jaguars | w 35 - 16 | alltel stadium | 6 - 2 | 69061 |\n| 9 | october 30 , 2000 | tennessee titans | l 27 - 21 | fedex field | 6 - 3 | 83472 |\n| 10 | november 5 , 2000 | arizona cardinals | l 16 - 15 | sun devil stadium | 6 - 4 | 52244 |\n| 11 | - | - | - | - | - | |\n| 12 | november 20 , 2000 | st louis rams | w 33 - 20 | trans world dome | 7 - 4 | 66087 |\n| 13 | november 26 , 2000 | philadelphia eagles | l 23 - 20 | fedex field | 7 - 5 | 83284 |\n| 14 | december 3 , 2000 | new york giants | l 9 - 7 | fedex field | 7 - 6 | 83485 |\n| 15 | december 10 , 2000 | dallas cowboys | l 32 - 13 | texas stadium | 7 - 7 | 63467 |\n| 16 | december 16 , 2000 | pittsburgh steelers | l 24 - 3 | three rivers stadium | 7 - 8 | 58183 |\n| 17 | december 24 , 2000 | arizona cardinals | w 20 - 3 | fedex field | 8 - 8 | 65711 |" + } + ] + }, + { + "id": "table_recognition_train_item_112349", + "image": "table_instructV/images/Rotowire_train_table_517.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Warriors | Golden State | 114 | 27 | 30 | 35 | 22 | 37 | 44 | 12 | 49 | 89 | 32 | 58 | 14 | | | | |\n| Kings | Sacramento | 100 | 20 | 30 | 22 | 28 | 27 | 37 | 19 | 48 | 77 | 48 | 27 | 45 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 33 | 27 | 7 | 12 | 9-18 | 50% | 5-11 | 46% | 4-4 | 100% | 6 | 3 | 0 | 1 | 6 | 0 | G | Golden State |\n| Draymond Green | 34 | 23 | 4 | 8 | 8-17 | 47% | 3-9 | 33% | 4-5 | 80% | 3 | 4 | 1 | 1 | 3 | 1 | F | Golden State |\n| Ian Clark | 18 | 10 | 0 | 3 | 5-10 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Golden State |\n| JaVale McGee | 12 | 9 | 10 | 1 | 3-5 | 60% | 0-0 | 0% | 3-3 | 100% | 1 | 1 | 0 | 6 | 4 | 1 | N/A | Golden State |\n| Andre Iguodala | 27 | 9 | 1 | 3 | 4-7 | 57% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Golden State |\n| David West | 14 | 8 | 3 | 4 | 4-5 | 80% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 3 | 1 | 2 | 3 | N/A | Golden State |\n| Klay Thompson | 30 | 8 | 4 | 0 | 3-14 | 21% | 2-7 | 29% | 0-0 | 0% | 0 | 1 | 1 | 0 | 4 | 2 | G | Golden State |\n| Shaun Livingston | 19 | 8 | 0 | 1 | 4-4 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 1 | N/A | Golden State |\n| Patrick McCaw | 16 | 4 | 2 | 0 | 2-3 | 67% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 1 | 2 | F | Golden State |\n| Zaza Pachulia | 19 | 4 | 8 | 3 | 1-4 | 25% | 0-0 | 0% | 2-2 | 100% | 2 | 2 | 1 | 2 | 6 | 1 | C | Golden State |\n| James Michael McAdoo | 3 | 2 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Golden State |\n| Matt Barnes | 14 | 2 | 4 | 1 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 3 | 2 | N/A | Golden State |\n| Kevon Looney | 2 | 0 | 1 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Golden State |\n| Kings | | | | | | | | | | | | | | | | | | |\n| Buddy Hield | 33 | 22 | 8 | 7 | 7-14 | 50% | 4-9 | 44% | 4-4 | 100% | 2 | 3 | 0 | 2 | 6 | 3 | G | Sacramento |\n| Ty Lawson | 24 | 20 | 0 | 2 | 8-9 | 89% | 2-2 | 100% | 2-4 | 50% | 1 | 2 | 0 | 0 | 0 | 2 | G | Sacramento |\n| Willie Cauley-Stein | 28 | 12 | 4 | 2 | 5-6 | 83% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 0 | 1 | 3 | 3 | C | Sacramento |\n| Ben McLemore | 22 | 11 | 1 | 2 | 5-10 | 50% | 0-2 | 0% | 1-2 | 50% | 1 | 1 | 0 | 0 | 1 | 0 | N/A | Sacramento |\n| Skal Labissiere | 27 | 10 | 10 | 8 | 5-11 | 46% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 1 | 1 | 9 | 1 | N/A | Sacramento |\n| Langston Galloway | 25 | 8 | 2 | 0 | 3-8 | 38% | 2-3 | 67% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 1 | N/A | Sacramento |\n| Georgios Papagiannis | 27 | 7 | 4 | 1 | 3-6 | 50% | 0-1 | 0% | 1-1 | 100% | 0 | 3 | 1 | 2 | 2 | 2 | N/A | Sacramento |\n| Garrett Temple | 16 | 5 | 2 | 3 | 2-5 | 40% | 1-1 | 100% | 0-0 | 0% | 2 | 3 | 1 | 0 | 2 | 2 | N/A | Sacramento |\n| Arron Afflalo | 23 | 3 | 4 | 1 | 1-7 | 14% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 4 | 0 | F | Sacramento |\n| Kosta Koufos | 14 | 2 | 2 | 1 | 1-7 | 14% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 0 | 2 | 2 | F | Sacramento |\n| Tyreke Evans | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Darren Collison | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Anthony Tolliver | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |" + } + ] + }, + { + "id": "table_recognition_train_item_117133", + "image": "table_instructV/images/Rotowire_train_table_2909.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Timberwolves | Minnesota | 117 | 24 | 34 | 25 | 34 | 23 | 41 | 15 | 56 | 80 | 39 | 13 | 29 | | | | |\n| Suns | Phoenix | 87 | 23 | 25 | 21 | 18 | 16 | 30 | 15 | 43 | 56 | 20 | 13 | 29 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Andrew Wiggins | 28 | 18 | 4 | 4 | 8-13 | 62% | 0-1 | 0% | 2-2 | 100% | 0 | 1 | 0 | 2 | 2 | 2 | G | Minnesota |\n| Ricky Rubio | 24 | 18 | 2 | 3 | 6-11 | 55% | 2-5 | 40% | 4-4 | 100% | 2 | 3 | 0 | 0 | 2 | 3 | G | Minnesota |\n| Gorgui Dieng | 18 | 15 | 6 | 1 | 4-6 | 67% | 0-0 | 0% | 7-7 | 100% | 1 | 3 | 1 | 2 | 4 | 2 | N/A | Minnesota |\n| Karl-Anthony Towns | 26 | 14 | 8 | 1 | 5-8 | 63% | 1-1 | 100% | 3-3 | 100% | 1 | 2 | 3 | 1 | 7 | 2 | C | Minnesota |\n| Kevin Martin | 16 | 11 | 0 | 2 | 3-6 | 50% | 1-3 | 33% | 4-4 | 100% | 0 | 0 | 0 | 0 | 0 | 3 | N/A | Minnesota |\n| Zach LaVine | 24 | 11 | 3 | 3 | 3-6 | 50% | 2-4 | 50% | 3-4 | 75% | 4 | 0 | 0 | 1 | 2 | 2 | N/A | Minnesota |\n| Shabazz Muhammad | 26 | 11 | 8 | 0 | 4-10 | 40% | 0-3 | 0% | 3-6 | 50% | 0 | 2 | 0 | 1 | 7 | 3 | N/A | Minnesota |\n| Tayshaun Prince | 27 | 6 | 4 | 3 | 3-3 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 2 | 0 | 4 | 1 | F | Minnesota |\n| Nemanja Bjelica | 23 | 6 | 2 | 3 | 1-1 | 100% | 1-1 | 100% | 3-4 | 75% | 0 | 2 | 1 | 0 | 2 | 5 | N/A | Minnesota |\n| Nikola Pekovic | 7 | 4 | 0 | 0 | 1-2 | 50% | 0-0 | 0% | 2-4 | 50% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Minnesota |\n| Adreian Payne | 3 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Minnesota |\n| Andre Miller | 4 | 1 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Minnesota |\n| Kevin Garnett | 15 | 0 | 3 | 2 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 2 | 0 | 0 | 1 | 2 | 2 | F | Minnesota |\n| Suns | | | | | | | | | | | | | | | | | | |\n| Brandon Knight | 39 | 20 | 2 | 1 | 9-20 | 45% | 2-5 | 40% | 0-0 | 0% | 0 | 6 | 0 | 0 | 2 | 4 | G | Phoenix |\n| Markieff Morris | 34 | 17 | 5 | 3 | 7-12 | 58% | 0-2 | 0% | 3-5 | 60% | 3 | 2 | 0 | 1 | 4 | 5 | F | Phoenix |\n| Devin Booker | 27 | 11 | 0 | 0 | 4-8 | 50% | 0-0 | 0% | 3-4 | 75% | 0 | 0 | 0 | 0 | 0 | 4 | G | Phoenix |\n| Tyson Chandler | 24 | 8 | 8 | 0 | 3-4 | 75% | 0-0 | 0% | 2-4 | 50% | 0 | 1 | 0 | 4 | 4 | 2 | C | Phoenix |\n| Jon Leuer | 21 | 8 | 5 | 0 | 3-7 | 43% | 0-2 | 0% | 2-4 | 50% | 0 | 1 | 0 | 0 | 5 | 4 | N/A | Phoenix |\n| TJ Warren | 21 | 7 | 2 | 1 | 3-6 | 50% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 2 | 2 | 0 | 3 | N/A | Phoenix |\n| PJ Tucker | 29 | 4 | 7 | 5 | 1-7 | 14% | 0-1 | 0% | 2-4 | 50% | 1 | 1 | 0 | 2 | 5 | 2 | F | Phoenix |\n| Lorenzo Brown | 9 | 4 | 0 | 1 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 1 | N/A | Phoenix |\n| Archie Goodwin | 6 | 4 | 0 | 0 | 1-3 | 33% | 1-1 | 100% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Phoenix |\n| Sonny Weems | 16 | 2 | 0 | 3 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 0 | 0 | 1 | N/A | Phoenix |\n| Mirza Teletovic | 14 | 2 | 1 | 2 | 1-7 | 14% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Phoenix |\n| Alex Len | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |" + } + ] + }, + { + "id": "table_recognition_train_item_33360", + "image": "table_instructV/images/TABMWP_28633.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 5 | 4 |\n| 6 | 6 |\n| 7 | 8 |" + } + ] + }, + { + "id": "table_recognition_train_item_31746", + "image": "table_instructV/images/TABMWP_10798.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| | Caffeine-free | Caffeinated |\n| --- | --- | --- |\n| Mint | 3 | 7 |\n| Fruity | 1 | 6 |" + } + ] + }, + { + "id": "table_recognition_train_item_117903", + "image": "table_instructV/images/Rotowire_train_table_3294.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Heat | Miami | 105 | 27 | 20 | 28 | 30 | 21 | 47 | 18 | 48 | 85 | 25 | 27 | 21 | | | | |\n| Hawks | Atlanta | 87 | 17 | 17 | 28 | 25 | 13 | 31 | 17 | 39 | 88 | 23 | 27 | 22 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Chris Bosh | 33 | 18 | 7 | 2 | 6-14 | 43% | 2-4 | 50% | 4-4 | 100% | 0 | 1 | 0 | 0 | 7 | 4 | F | Miami |\n| Luol Deng | 32 | 17 | 4 | 3 | 7-14 | 50% | 2-5 | 40% | 1-2 | 50% | 2 | 1 | 0 | 2 | 2 | 1 | F | Miami |\n| Dwyane Wade | 29 | 17 | 4 | 8 | 5-12 | 42% | 0-0 | 0% | 7-8 | 88% | 2 | 3 | 1 | 0 | 4 | 1 | G | Miami |\n| Amar'e Stoudemire | 21 | 13 | 12 | 0 | 5-8 | 63% | 0-0 | 0% | 3-4 | 75% | 3 | 2 | 1 | 5 | 7 | 1 | C | Miami |\n| Justise Winslow | 33 | 10 | 9 | 0 | 4-6 | 67% | 0-1 | 0% | 2-2 | 100% | 0 | 2 | 2 | 2 | 7 | 4 | N/A | Miami |\n| Goran Dragic | 23 | 9 | 2 | 4 | 4-10 | 40% | 0-3 | 0% | 1-2 | 50% | 1 | 1 | 0 | 0 | 2 | 5 | G | Miami |\n| Gerald Green | 21 | 7 | 4 | 1 | 3-6 | 50% | 1-3 | 33% | 0-0 | 0% | 1 | 2 | 0 | 0 | 4 | 2 | N/A | Miami |\n| Beno Udrih | 25 | 6 | 1 | 2 | 3-7 | 43% | 0-3 | 0% | 0-0 | 0% | 1 | 4 | 0 | 1 | 0 | 3 | N/A | Miami |\n| Josh McRoberts | 18 | 6 | 2 | 1 | 1-3 | 33% | 0-1 | 0% | 4-4 | 100% | 0 | 2 | 0 | 0 | 2 | 2 | N/A | Miami |\n| Jarnell Stokes | 1 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Miami |\n| Udonis Haslem | 1 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Miami |\n| Josh Richardson | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Miami |\n| Hawks | | | | | | | | | | | | | | | | | | |\n| Paul Millsap | 36 | 17 | 5 | 1 | 5-11 | 46% | 1-2 | 50% | 6-6 | 100% | 2 | 4 | 0 | 1 | 4 | 5 | F | Atlanta |\n| Al Horford | 34 | 17 | 4 | 2 | 6-10 | 60% | 3-3 | 100% | 2-2 | 100% | 1 | 3 | 2 | 0 | 4 | 5 | C | Atlanta |\n| Jeff Teague | 26 | 15 | 0 | 6 | 3-11 | 27% | 0-5 | 0% | 9-9 | 100% | 2 | 2 | 1 | 0 | 0 | 6 | G | Atlanta |\n| Dennis Schroder | 21 | 11 | 3 | 3 | 4-12 | 33% | 1-4 | 25% | 2-2 | 100% | 0 | 2 | 0 | 1 | 2 | 2 | N/A | Atlanta |\n| Tim Hardaway Jr. | 20 | 10 | 1 | 0 | 3-6 | 50% | 0-2 | 0% | 4-4 | 100% | 1 | 0 | 0 | 0 | 1 | 1 | N/A | Atlanta |\n| Kent Bazemore | 33 | 8 | 10 | 1 | 4-6 | 67% | 0-2 | 0% | 0-2 | 0% | 1 | 5 | 0 | 0 | 10 | 0 | F | Atlanta |\n| Tiago Splitter | 15 | 5 | 5 | 0 | 1-2 | 50% | 0-0 | 0% | 3-4 | 75% | 1 | 0 | 0 | 0 | 5 | 1 | N/A | Atlanta |\n| Thabo Sefolosha | 19 | 2 | 0 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Atlanta |\n| Mike Muscala | 2 | 2 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Atlanta |\n| Kyle Korver | 24 | 0 | 3 | 0 | 0-6 | 0% | 0-2 | 0% | 0-1 | 0% | 2 | 1 | 0 | 0 | 3 | 1 | G | Atlanta |\n| Mike Scott | 6 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Atlanta |\n| Lamar Patterson | 2 | 0 | 0 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Atlanta |\n| Shelvin Mack | 2 | 0 | 0 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Atlanta |" + } + ] + }, + { + "id": "table_recognition_train_item_68272", + "image": "table_instructV/images/TabFact_1-1507423-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| year | starts | wins | top 5 | top 10 | poles | avg start | avg finish | winnings | position | team (s) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2001 | 3 | 0 | 1 | 1 | 0 | 6.3 | 13.0 | 70266 | 60th | 21 richard childress racing |\n| 2004 | 25 | 1 | 6 | 10 | 0 | 12.8 | 14.7 | 542530 | 21st | 55 robby gordon motorsports |\n| 2005 | 4 | 0 | 1 | 2 | 0 | 11.5 | 19.8 | 148201 | 78th | 55 / 83 robby gordon motorsports |\n| 2006 | 4 | 0 | 2 | 3 | 0 | 19.0 | 13.5 | 114174 | 64th | 7 robby gordon motorsports 88 jr motorsports |\n| 2008 | 4 | 0 | 0 | 0 | 0 | 15.2 | 23.8 | 74720 | 73rd | 22 fitz motorsports 55 robby gordon motorsports |\n| 2009 | 1 | 0 | 0 | 0 | 0 | 3.0 | 14.0 | 16575 | 122nd | 55 robby gordon motorsports |\n| 2010 | 1 | 0 | 0 | 0 | 0 | 16.0 | 14.0 | 26950 | 105th | 07 robby gordon motorsports |" + } + ] + }, + { + "id": "table_recognition_train_item_54644", + "image": "table_instructV/images/TabFact_1-29846807-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 9 | december 4 | siena | w 88 - 82 ot | ambrose - 27 | ambrose - 7 | black - 5 | times union center , albany , ny (10753) | 4 - 5 |\n| 10 | december 6 | yale | l 74 - 53 | ambrose - 15 | aronhalt - 6 | black - 2 | payne whitney gymnasium , new haven , ct (720) | 4 - 6 |\n| 11 | december 11 | central connecticut state | w 64 - 63 | ambrose - 21 | devlin - 11 | ambrose - 4 | sefcu arena , albany , ny (1879) | 5 - 6 |\n| 12 | december 18 | mount st mary 's | w 77 - 57 | ambrose - 19 | ambrose - 8 | black - 5 | sefcu arena , albany , ny (1720) | 6 - 6 |\n| 13 | december 22 | colgate | w 63 - 61 | ambrose - 19 | metcalf - 5 | ambrose - 3 | cotterell court , hamilton , ny (463) | 7 - 6 |\n| 14 | december 28 | xavier | l 88 - 64 | ambrose - 24 | ambrose - 5 | ambrose - 5 | cintas center , cincinnati , oh (10004) | 7 - 7 |" + } + ] + }, + { + "id": "table_recognition_train_item_69144", + "image": "table_instructV/images/TabFact_2-12205559-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| date | opponent | score | loss | attendance | record |\n| --- | --- | --- | --- | --- | --- |\n| july 1 | phillies | 5 - 2 | lidle (4 - 7) | 24248 | 46 - 34 |\n| july 2 | phillies | 11 - 6 | burnett (1 - 2) | 26177 | 46 - 35 |\n| july 3 | rangers | 6 - 1 | lilly (8 - 8) | 30021 | 46 - 36 |\n| july 4 | rangers | 3 - 2 | koronka (6 - 5) | 42255 | 47 - 36 |\n| july 5 | rangers | 9 - 3 | janssen (6 - 7) | 25803 | 47 - 37 |\n| july 6 | royals | 6 - 2 | taubenheim (1 - 5) | 10858 | 47 - 38 |\n| july 7 | royals | 13 - 3 | burnett (1 - 3) | 17162 | 47 - 39 |\n| july 8 | royals | 7 - 5 | peralta (1 - 1) | 22635 | 48 - 39 |\n| july 9 | royals | 11 - 3 | gobble (3 - 2) | 17748 | 49 - 39 |\n| july 14 | mariners | 5 - 3 | janssen (6 - 8) | 23443 | 49 - 40 |\n| july 15 | mariners | 7 - 6 (14) | fruto (0 - 1) | 36069 | 50 - 40 |\n| july 16 | mariners | 4 - 3 (11) | sherrill (2 - 2) | 28679 | 51 - 40 |\n| july 17 | rangers | 10 - 1 | koronka (6 - 6) | 16872 | 52 - 40 |\n| july 18 | rangers | 5 - 2 | schoeneweis (2 - 1) | 20017 | 52 - 41 |\n| july 19 | rangers | 5 - 4 | janssen (6 - 9) | 20778 | 52 - 42 |\n| july 20 | yankees | 5 - 4 (11) | rivera (4 - 5) | 42336 | 53 - 42 |\n| july 21 | yankees | 7 - 3 | wright (6 - 6) | 40149 | 54 - 42 |\n| july 22 | yankees | 5 - 4 | downs (4 - 1) | 50014 | 54 - 43 |\n| july 23 | yankees | 13 - 5 | ponson (0 - 1) | 42337 | 55 - 43 |\n| july 24 | mariners | 7 - 3 | janssen (6 - 10) | 29787 | 55 - 44 |\n| july 25 | mariners | 12 - 3 | meche (9 - 5) | 30793 | 56 - 44 |\n| july 26 | mariners | 7 - 4 | burnett (2 - 4) | 33629 | 56 - 45 |\n| july 27 | athletics | 5 - 2 | lilly (9 - 9) | 19251 | 56 - 46 |\n| july 28 | athletics | 4 - 3 | loaiza (4 - 7) | 22217 | 57 - 46 |\n| july 29 | athletics | 7 - 4 | mcgowan (1 - 1) | 25627 | 57 - 47 |\n| july 30 | athletics | 6 - 5 | ryan (1 - 1) | 29709 | 57 - 48 |" + } + ] + }, + { + "id": "table_recognition_train_item_35343", + "image": "table_instructV/images/TABMWP_30629.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Gem color | Change in points |\n| --- | --- |\n| Green | 25 |\n| Red | -40 |" + } + ] + }, + { + "id": "table_recognition_train_item_115807", + "image": "table_instructV/images/Rotowire_train_table_2246.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Clippers | LA | 104 | 17 | 28 | 34 | 25 | 26 | 43 | 7 | 43 | 81 | 44 | 26 | 13 | | | | |\n| Heat | Miami | 90 | 25 | 27 | 17 | 21 | 26 | 49 | 23 | 44 | 66 | 38 | 22 | 17 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Clippers | | | | | | | | | | | | | | | | | | |\n| Cole Aldrich | 24 | 19 | 7 | 3 | 7-14 | 50% | 0-0 | 0% | 5-7 | 71% | 1 | 2 | 0 | 4 | 3 | 1 | C | LA |\n| Paul Pierce | 22 | 15 | 9 | 0 | 6-10 | 60% | 3-7 | 43% | 0-0 | 0% | 0 | 0 | 0 | 1 | 8 | 4 | F | LA |\n| Jamal Crawford | 26 | 15 | 4 | 1 | 4-15 | 27% | 2-5 | 40% | 5-5 | 100% | 0 | 0 | 0 | 0 | 4 | 2 | N/A | LA |\n| Chris Paul | 30 | 15 | 6 | 12 | 6-17 | 35% | 2-3 | 67% | 1-2 | 50% | 4 | 1 | 1 | 2 | 4 | 1 | G | LA |\n| JJ Redick | 25 | 12 | 1 | 2 | 5-10 | 50% | 2-4 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | G | LA |\n| Josh Smith | 20 | 9 | 3 | 1 | 4-11 | 36% | 1-2 | 50% | 0-0 | 0% | 3 | 1 | 1 | 0 | 3 | 5 | N/A | LA |\n| Austin Rivers | 23 | 8 | 1 | 3 | 3-6 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 1 | 4 | N/A | LA |\n| Wesley Johnson | 22 | 5 | 4 | 0 | 2-5 | 40% | 1-4 | 25% | 0-0 | 0% | 2 | 2 | 1 | 2 | 2 | 4 | N/A | LA |\n| Pablo Prigioni | 15 | 2 | 2 | 2 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 8 | 1 | 0 | 0 | 2 | 1 | N/A | LA |\n| Lance Stephenson | 6 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | LA |\n| Luc Mbah a Moute | 24 | 2 | 5 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 2 | 0 | 5 | 2 | F | LA |\n| CJ Wilcox | 3 | 0 | 0 | 1 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | LA |\n| DeAndre Jordan | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Gerald Green | 33 | 19 | 2 | 1 | 7-14 | 50% | 4-8 | 50% | 1-2 | 50% | 1 | 1 | 0 | 0 | 2 | 2 | N/A | Miami |\n| Dwyane Wade | 30 | 16 | 8 | 4 | 6-10 | 60% | 0-0 | 0% | 4-9 | 44% | 0 | 7 | 0 | 2 | 6 | 1 | G | Miami |\n| Chris Bosh | 33 | 11 | 12 | 7 | 3-11 | 27% | 0-4 | 0% | 5-7 | 71% | 0 | 1 | 0 | 0 | 12 | 1 | C | Miami |\n| Hassan Whiteside | 27 | 10 | 11 | 1 | 3-5 | 60% | 0-0 | 0% | 4-6 | 67% | 1 | 5 | 3 | 0 | 11 | 4 | N/A | Miami |\n| Beno Udrih | 28 | 8 | 0 | 3 | 3-7 | 43% | 2-3 | 67% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 2 | G | Miami |\n| Tyler Johnson | 29 | 8 | 4 | 4 | 2-7 | 29% | 1-2 | 50% | 3-3 | 100% | 2 | 4 | 1 | 0 | 4 | 4 | N/A | Miami |\n| Luol Deng | 32 | 7 | 7 | 2 | 3-7 | 43% | 1-3 | 33% | 0-0 | 0% | 1 | 1 | 1 | 3 | 4 | 2 | F | Miami |\n| Justise Winslow | 19 | 4 | 3 | 1 | 2-6 | 33% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 0 | F | Miami |\n| Chris Andersen | 3 | 3 | 1 | 1 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 1 | 0 | 1 | 0 | N/A | Miami |\n| Josh Richardson | 3 | 2 | 0 | 2 | 0-0 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 1 | 0 | 0 | 0 | N/A | Miami |\n| Udonis Haslem | 3 | 2 | 1 | 0 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Miami |\n| Amar'e Stoudemire | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |" + } + ] + }, + { + "id": "table_recognition_train_item_32980", + "image": "table_instructV/images/TABMWP_24488.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 2 | 0 |\n| 3 | 9 |\n| 4 | 17 |" + } + ] + }, + { + "id": "table_recognition_train_item_55758", + "image": "table_instructV/images/TabFact_2-10700-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| name | area | inhabitants | people per km square | main places | regions |\n| --- | --- | --- | --- | --- | --- |\n| streymoy | 373.5 | 21717 | 57.4 | tórshavn and vestmanna | tórshavn and rest of streymoy |\n| eysturoy | 286.3 | 10738 | 37 | fuglafjørður and runavík | north eysturoy and south eysturoy |\n| vágar | 177.6 | 2856 | 15.7 | míðvágur and sørvágur | vágar |\n| suðuroy | 166 | 5074 | 30.9 | tvøroyri and vágur | suðuroy |\n| sandoy | 112.1 | 1428 | 12.4 | sandur | sandoy |\n| borðoy | 95 | 5030 | 52.4 | klaksvík | klaksvík and rest of northern faroes ( norðoyar ) |\n| viðoy | 41 | 605 | 15 | viðareiði | norðoyar |\n| kunoy | 35.5 | 135 | 3.8 | kunoy | norðoyar |\n| kalsoy | 30.9 | 136 | 4.8 | mikladalur and húsar | norðoyar |\n| svínoy | 27.4 | 58 | 2.7 | svínoy | norðoyar |\n| fugloy | 11.2 | 46 | 4 | kirkja | norðoyar |\n| nólsoy | 10.3 | 262 | 26.1 | nólsoy | streymoy |\n| mykines | 10.3 | 19 | 2 | mykines | vágar |\n| skúvoy | 10 | 61 | 5.7 | skúvoy | sandoy |\n| hestur | 6.1 | 40 | 7.1 | hestur | streymoy |\n| stóra dímun | 2.7 | 7 | 1.9 | dímun | sandoy |\n| koltur | 2.5 | 2 | 0.8 | koltur | streymoy |\n| lítla dímun | 0.8 | 0 | 0 | - | sandoy |" + } + ] + }, + { + "id": "table_recognition_train_item_102668", + "image": "table_instructV/images/ToTTo_train_table_11129.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 1990 | A Gnome Named Gnorm | Detective Kaminsky | |\n| 1994 | The Swan Princess | Lord Rogers | Voice |\n| 1999 | Election | Dave Novotny | |\n| 2001 | Jurassic Park III | Ben Hildebrand | |\n| 2004 | Eulogy | Burt | |\n| 2006 | For Your Consideration | Round Table Host | |\n| 2007 | Watching the Detectives | Detective Barloe | |\n| 2009 | Timer | Dr. Serious | |\n| 2009 | The Job | Martin | |\n| 2011 | Meeting Spencer | David Thiel | |\n| 2013 | 42 | Herb Pennock | |\n| 2015 | This Isn't Funny | Joseph Thompson | |\n| 2015 | Trumbo | Edward 'Ed' Muhl | |\n| 2017 | Battle of the Sexes | Hank Greenberg | |" + } + ] + }, + { + "id": "table_recognition_train_item_67890", + "image": "table_instructV/images/TabFact_2-11622632-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| date | visitor | score | home | decision | attendance | record |\n| --- | --- | --- | --- | --- | --- | --- |\n| october 5 | ottawa | 3 - 2 | toronto maple leafs | hasek | 19452 | 1 - 0 - 0 |\n| october 8 | buffalo sabres | 0 - 5 | ottawa | hasek | 19661 | 2 - 0 - 0 |\n| october 10 | toronto maple leafs | 5 - 6 | ottawa | hasek | 18680 | 3 - 0 - 0 |\n| october 11 | ottawa | 4 - 2 | montreal canadiens | emery | 21273 | 4 - 0 - 0 |\n| october 15 | boston bruins | 1 - 5 | ottawa | hasek | 19379 | 5 - 0 - 0 |\n| october 21 | ottawa | 4 - 1 | tampa bay lightning | hasek | 20494 | 6 - 0 - 0 |\n| october 24 | ottawa | 2 - 3 | carolina hurricanes | hasek | 12116 | 6 - 1 - 0 |\n| october 27 | montreal canadiens | 3 - 4 | ottawa | emery | 18840 | 7 - 1 - 0 |\n| october 29 | ottawa | 8 - 0 | toronto maple leafs | hasek | 19480 | 8 - 1 - 0 |\n| october 30 | philadelphia flyers | 5 - 3 | ottawa | hasek | 19335 | 8 - 2 - 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_62442", + "image": "table_instructV/images/TabFact_2-12514326-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| stage | date | course | distance | winner | race leader |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 14 may | milan to vicenza | - | learco guerra ( ita ) | learco guerra ( ita ) |\n| 2 | 15 may | vicenza to udine | - | hermann buse ( ger ) | hermann buse ( ger ) |\n| 3 | 17 may | udine to ferrara | - | fabio battesini ( ita ) | hermann buse ( ger ) |\n| 4 | 18 may | ferrara to rimini | - | learco guerra ( ita ) | hermann buse ( ger ) |\n| 5 | 20 may | rimini to teramo | - | raffaele di paco ( ita ) | hermann buse ( ger ) |\n| 6 | 22 may | teramo to lanciano | - | learco guerra ( ita ) | hermann buse ( ger ) |\n| 7 | 24 may | lanciano to foggia | - | antonio pesenti ( ita ) | antonio pesenti ( ita ) |\n| 8 | 26 may | foggia to naples | - | learco guerra ( ita ) | antonio pesenti ( ita ) |\n| 9 | 28 may | naples to rome | - | learco guerra ( ita ) | antonio pesenti ( ita ) |\n| 10 | 30 may | rome to florence | - | ettore meini ( ita ) | antonio pesenti ( ita ) |\n| 11 | 1 june | florence to genoa | - | remo bertoni ( ita ) | antonio pesenti ( ita ) |\n| 12 | 3 june | genoa to turin | - | ettore meini ( ita ) | antonio pesenti ( ita ) |\n| 13 | 5 june | turin to milan | - | learco guerra ( ita ) | antonio pesenti ( ita ) |\n| total | total | - | km (mi) | - | km (mi) |" + } + ] + }, + { + "id": "table_recognition_train_item_101009", + "image": "table_instructV/images/ToTTo_train_table_4268.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Club | Sport | League | Venue |\n| --- | --- | --- | --- |\n| Flint Rogues Rugby Club | Rugby | Michigan Rugby Football Union | Longway Park |\n| Flint Fury | Football | Great Lakes Football League | Atwood Stadium |\n| Flint City Derby Girls | Roller Derby | Women's Flat Track Derby Association | Dort Federal Credit Union Event Center |\n| Flint Monarchs | Women's basketball | Women's American Basketball Association | Mott's Ballenger's Fieldhouse |\n| Flint Firebirds | Hockey | Ontario Hockey League | Dort Federal Credit Union Event Center |\n| Flint-Vehicle City Chargers | Basketball | ABA | New Standard Academy gym |\n| Waza Flo | indoor soccer | Major Arena Soccer League | Dort Federal Credit Union Event Center |" + } + ] + }, + { + "id": "table_recognition_train_item_35477", + "image": "table_instructV/images/TABMWP_35145.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Dog | Weight change (oz.) |\n| --- | --- |\n| Sprinkles | 5 |\n| Champ | -6 |" + } + ] + }, + { + "id": "table_recognition_train_item_50626", + "image": "table_instructV/images/TAT-QA_57b4399c-dcd8-4578-b252-dcbba528ad19.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| | | | December 31, 2018 |\n| --- | --- | --- | --- |\n| | Gross Carrying Amount | Unamortized Discount and Deferred Financing Costs | Net Carrying Amount |\n| 2021 Notes | 650 | (3) | 647 |\n| 2022 Notes | 400 | (3) | 397 |\n| 2026 Notes | 850 | (8) | 842 |\n| 2027 Notes | 400 | (5) | 395 |\n| 2047 Notes | 400 | (10) | 390 |\n| Total debt | $2,700 | $(29) | $2,671 |" + } + ] + }, + { + "id": "table_recognition_train_item_107527", + "image": "table_instructV/images/ToTTo_train_table_31589.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| BAKERY | MAIN LOCATION | EST. | CLOSED | PRINCIPALS |\n| --- | --- | --- | --- | --- |\n| Boudin | 399 10th Ave., San Francisco | 1849 | Still open | Isidore Boudin; Steven Giraudo |\n| Parisian* | 1995 Evans Ave., San Francisco | 1856 | August, 2005 | |\n| Toscana* | 939 3rd St.; 3924 Market, Oakland | 1895 | ? | |\n| Larraburu Bros.* | 365 3rd Ave., San Francisco | 1896 | May, 1976 | Larraburu Bros; Harold Paul, Sr. & Jr. |\n| Colombo* | 580 Julie Ann Way, Oakland | 1896 | November, 2012 | |\n| Baroni* | Baroni French Baking Co., 7801 Edgewater Dr., Oakland | Inc. 1968 | ? | George Valerio |\n| Venetian | 2200 Powell St., San Francisco | ? | April, 1979 | Aldo Bertolina |\n| Pisano | Main & Chestnut; Maple St. & Veterans Blvd., Redwood City | 1950 | ? | |\n| *Studied by USDA in 1969 | | | | |" + } + ] + }, + { + "id": "table_recognition_train_item_117013", + "image": "table_instructV/images/Rotowire_train_table_2849.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Timberwolves | Minnesota | 95 | 16 | 32 | 13 | 34 | 24 | 31 | 7 | 43 | 72 | 42 | 17 | 39 | | | | |\n| Knicks | New York | 103 | 31 | 28 | 22 | 22 | 17 | 51 | 16 | 51 | 88 | 29 | 24 | 33 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Karl-Anthony Towns | 41 | 24 | 8 | 4 | 10-23 | 44% | 0-1 | 0% | 4-5 | 80% | 1 | 0 | 3 | 3 | 5 | 2 | C | Minnesota |\n| Andrew Wiggins | 36 | 24 | 5 | 0 | 8-20 | 40% | 2-2 | 100% | 6-8 | 75% | 2 | 1 | 2 | 1 | 4 | 2 | G | Minnesota |\n| Shabazz Muhammad | 33 | 20 | 3 | 0 | 8-11 | 73% | 2-2 | 100% | 2-2 | 100% | 1 | 1 | 0 | 0 | 3 | 1 | N/A | Minnesota |\n| Zach LaVine | 33 | 14 | 5 | 3 | 7-14 | 50% | 0-5 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 5 | 0 | N/A | Minnesota |\n| Ricky Rubio | 35 | 9 | 1 | 16 | 2-6 | 33% | 1-1 | 100% | 4-6 | 67% | 3 | 1 | 0 | 0 | 1 | 2 | G | Minnesota |\n| Gorgui Dieng | 25 | 3 | 3 | 1 | 1-6 | 17% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 1 | 2 | 1 | 2 | F | Minnesota |\n| Kevin Martin | 12 | 1 | 3 | 0 | 0-2 | 0% | 0-0 | 0% | 1-2 | 50% | 1 | 1 | 0 | 1 | 2 | 0 | N/A | Minnesota |\n| Damjan Rudez | 4 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Minnesota |\n| Tayshaun Prince | 21 | 0 | 3 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 1 | F | Minnesota |\n| Andre Miller | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Adreian Payne | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Nemanja Bjelica | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Tyus Jones | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Knicks | | | | | | | | | | | | | | | | | | |\n| Carmelo Anthony | 41 | 30 | 11 | 4 | 12-23 | 52% | 0-3 | 0% | 6-7 | 86% | 0 | 2 | 0 | 2 | 9 | 1 | F | New York |\n| Robin Lopez | 36 | 26 | 16 | 0 | 11-14 | 79% | 0-0 | 0% | 4-4 | 100% | 0 | 5 | 3 | 8 | 8 | 5 | C | New York |\n| Arron Afflalo | 39 | 11 | 4 | 3 | 4-10 | 40% | 3-5 | 60% | 0-0 | 0% | 1 | 3 | 0 | 0 | 4 | 1 | G | New York |\n| Lance Thomas | 26 | 11 | 5 | 1 | 5-10 | 50% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 1 | 4 | 2 | N/A | New York |\n| Jose Calderon | 35 | 9 | 6 | 3 | 4-8 | 50% | 1-4 | 25% | 0-0 | 0% | 0 | 2 | 0 | 0 | 6 | 2 | G | New York |\n| Kristaps Porzingis | 12 | 6 | 2 | 0 | 2-6 | 33% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 1 | 0 | 2 | 4 | F | New York |\n| Langston Galloway | 23 | 6 | 4 | 2 | 3-7 | 43% | 0-2 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 4 | 0 | N/A | New York |\n| Derrick Williams | 11 | 4 | 2 | 0 | 1-2 | 50% | 0-0 | 0% | 2-3 | 67% | 0 | 2 | 0 | 0 | 2 | 0 | N/A | New York |\n| Sasha Vujacic | 7 | 0 | 0 | 2 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | New York |\n| Kyle O'Quinn | 9 | 0 | 1 | 2 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 3 | 0 | 1 | 3 | N/A | New York |\n| Jerian Grant | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Lou Amundson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Kevin Seraphin | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |" + } + ] + }, + { + "id": "table_recognition_train_item_100037", + "image": "table_instructV/images/ToTTo_train_table_136.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Fiscal year | Daily average |\n| --- | --- |\n| 2000 | 30,237 |\n| 2005 | 31,529 |\n| 2010 | 37,302 |\n| 2011 | 37,829 |\n| 2012 | 38,821 |" + } + ] + }, + { + "id": "table_recognition_train_item_113207", + "image": "table_instructV/images/Rotowire_train_table_946.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Suns | Phoenix | 103 | 22 | 36 | 27 | 18 | 18 | 49 | 16 | 44 | 83 | 14 | 22 | 47 | | | | |\n| Magic | Orlando | 109 | 30 | 30 | 24 | 25 | 21 | 43 | 12 | 44 | 86 | 30 | 25 | 45 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Suns | | | | | | | | | | | | | | | | | | |\n| TJ Warren | 37 | 26 | 5 | 1 | 8-13 | 62% | 0-1 | 0% | 10-10 | 100% | 2 | 3 | 2 | 2 | 3 | 4 | F | Phoenix |\n| Tyler Ulis | 40 | 19 | 4 | 8 | 8-17 | 47% | 0-2 | 0% | 3-4 | 75% | 1 | 3 | 0 | 1 | 3 | 1 | G | Phoenix |\n| Marquese Chriss | 26 | 13 | 9 | 0 | 6-9 | 67% | 1-2 | 50% | 0-0 | 0% | 0 | 2 | 4 | 0 | 9 | 4 | F | Phoenix |\n| Alan Williams | 16 | 12 | 7 | 2 | 4-6 | 67% | 0-0 | 0% | 4-6 | 67% | 0 | 2 | 0 | 1 | 6 | 4 | N/A | Phoenix |\n| Devin Booker | 30 | 10 | 4 | 3 | 3-13 | 23% | 0-2 | 0% | 4-4 | 100% | 2 | 3 | 0 | 0 | 4 | 2 | G | Phoenix |\n| Alex Len | 28 | 9 | 9 | 2 | 3-12 | 25% | 0-0 | 0% | 3-4 | 75% | 3 | 2 | 2 | 4 | 5 | 3 | C | Phoenix |\n| Jared Dudley | 26 | 7 | 6 | 0 | 3-9 | 33% | 1-6 | 17% | 0-0 | 0% | 0 | 1 | 0 | 1 | 5 | 3 | N/A | Phoenix |\n| Derrick Jones, Jr. | 17 | 6 | 2 | 0 | 3-6 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 2 | 0 | 0 | N/A | Phoenix |\n| Ronnie Price | 20 | 1 | 3 | 2 | 0-2 | 0% | 0-1 | 0% | 1-2 | 50% | 1 | 0 | 0 | 1 | 2 | 1 | N/A | Phoenix |\n| Tyson Chandler | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Brandon Knight | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Leandro Barbosa | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Eric Bledsoe | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Evan Fournier | 35 | 25 | 3 | 2 | 8-19 | 42% | 3-9 | 33% | 6-7 | 86% | 1 | 1 | 0 | 0 | 3 | 3 | G | Orlando |\n| Nikola Vucevic | 32 | 18 | 17 | 2 | 8-20 | 40% | 0-2 | 0% | 2-2 | 100% | 3 | 2 | 0 | 6 | 11 | 2 | C | Orlando |\n| Aaron Gordon | 34 | 17 | 4 | 0 | 7-12 | 58% | 1-3 | 33% | 2-2 | 100% | 1 | 2 | 4 | 0 | 4 | 2 | F | Orlando |\n| Terrence Ross | 31 | 14 | 1 | 2 | 6-10 | 60% | 2-3 | 67% | 0-0 | 0% | 0 | 3 | 0 | 0 | 1 | 6 | F | Orlando |\n| D.J. Augustin | 16 | 12 | 1 | 0 | 4-8 | 50% | 1-2 | 50% | 3-4 | 75% | 0 | 1 | 0 | 0 | 1 | 3 | N/A | Orlando |\n| Elfrid Payton | 31 | 10 | 4 | 11 | 4-9 | 44% | 0-0 | 0% | 2-2 | 100% | 3 | 1 | 0 | 0 | 4 | 4 | G | Orlando |\n| C.J. Watson | 15 | 4 | 0 | 1 | 2-3 | 67% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Orlando |\n| Bismack Biyombo | 16 | 4 | 3 | 1 | 1-1 | 100% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 3 | 3 | N/A | Orlando |\n| Mario Hezonja | 16 | 3 | 2 | 1 | 1-5 | 20% | 0-1 | 0% | 1-2 | 50% | 2 | 1 | 0 | 0 | 2 | 1 | N/A | Orlando |\n| Jeff Green | 14 | 2 | 8 | 1 | 1-9 | 11% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 2 | 6 | 2 | N/A | Orlando |\n| CJ Wilcox | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Damjan Rudez | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Stephen Zimmerman | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |" + } + ] + }, + { + "id": "table_recognition_train_item_116491", + "image": "table_instructV/images/Rotowire_train_table_2588.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Lakers | Los Angeles | 88 | 15 | 26 | 22 | 25 | 14 | 37 | 11 | 38 | 93 | 33 | 11 | 23 | | | | |\n| Pacers | Indiana | 87 | 28 | 20 | 21 | 18 | 21 | 50 | 14 | 37 | 72 | 29 | 13 | 22 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Lakers | | | | | | | | | | | | | | | | | | |\n| Nick Young | 29 | 22 | 3 | 1 | 4-12 | 33% | 2-5 | 40% | 12-12 | 100% | 1 | 1 | 0 | 0 | 3 | 2 | N/A | Los Angeles |\n| Kobe Bryant | 32 | 20 | 6 | 6 | 7-14 | 50% | 2-3 | 67% | 4-4 | 100% | 3 | 2 | 0 | 0 | 6 | 2 | G | Los Angeles |\n| Carlos Boozer | 26 | 12 | 4 | 1 | 5-9 | 56% | 0-0 | 0% | 2-2 | 100% | 0 | 2 | 0 | 1 | 3 | 2 | N/A | Los Angeles |\n| Ed Davis | 32 | 11 | 6 | 0 | 4-8 | 50% | 0-0 | 0% | 3-4 | 75% | 0 | 1 | 0 | 1 | 5 | 3 | F | Los Angeles |\n| Jeremy Lin | 22 | 10 | 3 | 2 | 2-6 | 33% | 1-2 | 50% | 5-6 | 83% | 1 | 2 | 0 | 0 | 3 | 2 | N/A | Los Angeles |\n| Ronnie Price | 26 | 7 | 0 | 1 | 3-7 | 43% | 1-4 | 25% | 0-0 | 0% | 2 | 0 | 0 | 0 | 0 | 3 | G | Los Angeles |\n| Jordan Hill | 23 | 4 | 5 | 1 | 1-7 | 14% | 0-0 | 0% | 2-2 | 100% | 1 | 2 | 2 | 2 | 3 | 2 | C | Los Angeles |\n| Wayne Ellington | 14 | 2 | 1 | 0 | 1-5 | 20% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Los Angeles |\n| Robert Sacre | 13 | 0 | 4 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 3 | 1 | N/A | Los Angeles |\n| Ryan Kelly | 12 | 0 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Los Angeles |\n| Wesley Johnson | 12 | 0 | 3 | 1 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 0 | F | Los Angeles |\n| Tarik Black | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Jordan Clarkson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| CJ Miles | 32 | 19 | 2 | 0 | 7-18 | 39% | 3-9 | 33% | 2-4 | 50% | 2 | 1 | 0 | 1 | 1 | 3 | N/A | Indiana |\n| Donald Sloan | 36 | 16 | 7 | 9 | 6-14 | 43% | 1-6 | 17% | 3-4 | 75% | 0 | 1 | 0 | 0 | 7 | 2 | G | Indiana |\n| Roy Hibbert | 29 | 12 | 11 | 0 | 5-12 | 42% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 1 | 3 | 8 | 1 | C | Indiana |\n| David West | 32 | 11 | 8 | 3 | 5-13 | 39% | 0-2 | 0% | 1-1 | 100% | 0 | 5 | 0 | 4 | 4 | 1 | F | Indiana |\n| Solomon Hill | 36 | 10 | 4 | 1 | 3-11 | 27% | 2-6 | 33% | 2-2 | 100% | 1 | 2 | 0 | 1 | 3 | 2 | F | Indiana |\n| Rodney Stuckey | 28 | 10 | 4 | 4 | 3-11 | 27% | 2-3 | 67% | 2-2 | 100% | 1 | 2 | 0 | 2 | 2 | 3 | G | Indiana |\n| Luis Scola | 16 | 5 | 8 | 3 | 2-5 | 40% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 2 | 6 | 3 | N/A | Indiana |\n| Chris Copeland | 12 | 2 | 0 | 0 | 1-4 | 25% | 0-2 | 0% | 0-1 | 0% | 0 | 1 | 0 | 0 | 0 | 4 | N/A | Indiana |\n| Lavoy Allen | 19 | 2 | 6 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 3 | 3 | 2 | N/A | Indiana |\n| George Hill | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| CJ Watson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Damjan Rudez | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Shayne Whittington | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |" + } + ] + }, + { + "id": "table_recognition_train_item_31636", + "image": "table_instructV/images/TABMWP_9581.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Gem color | Change in points |\n| --- | --- |\n| Green | 25 |\n| Red | -40 |" + } + ] + }, + { + "id": "table_recognition_train_item_61588", + "image": "table_instructV/images/TabFact_2-11204543-17.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| bowling | player | opponent | venue | season |\n| --- | --- | --- | --- | --- |\n| 17 - 48 | colin blythe | v northamptonshire | county ground , northampton | 1907 |\n| 17 - 67 | tich freeman | v sussex | county ground , hove | 1922 |\n| 17 - 92 | tich freeman | v warwickshire | cheriton road , folkestone | 1932 |\n| 16 - 80 | doug wright | v somerset | recreation ground , bath | 1939 |\n| 16 - 82 | tich freeman | v northamptonshire | nevill ground , tunbridge wells | 1932 |" + } + ] + }, + { + "id": "table_recognition_train_item_30773", + "image": "table_instructV/images/TABMWP_348.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 18 | 1 |\n| 19 | 5 |\n| 20 | 9 |" + } + ] + }, + { + "id": "table_recognition_train_item_63928", + "image": "table_instructV/images/TabFact_1-25764073-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| season | episode | title | director (s) | writer (s) | original air date |\n| --- | --- | --- | --- | --- | --- |\n| 27 | 1 | recalled to duty | catherine millar | tony morphett | 10 february 1997 |\n| 28 | 2 | closed circuit | catherine millar | tony morphett | 17 february 1997 |\n| 29 | 3 | import / export (1) | mark piper | denise morgan | 24 february 1997 |\n| 30 | 4 | jilted (2) | peter andrikidis | susan hore | 3 march 1997 |\n| 31 | 5 | truth or dare | peter andrikidis | susan hore | 10 march 1997 |\n| 32 | 6 | give me money | peter andrikidis | susan hore | 17 march 1997 |\n| 33 | 7 | end of the line | chris martin - jones | anne brooksbank | 24 march 1997 |\n| 34 | 8 | wrong place , wrong time | chris martin - jones | anne brooksbank | 31 march 1997 |\n| 35 | 9 | sex games | alister hallum | david allen | 7 april 1997 |\n| 36 | 10 | eye for an eye | alister hallum | serge lazareff | 14 april 1997 |\n| 37 | 11 | goldie 's trip | mark piper | russell haig | 21 april 1997 |\n| 38 | 12 | one dead rat | guy norris | russell haig | 28 april 1997 |\n| 39 | 13 | the messenger | peter andrikidis | victoria custo | 5 may 1997 |\n| 40 | 14 | the man in the moon | peter andrikidis | anne brooksbank | 12 may 1997 |\n| 41 | 15 | stolen time | chris martin - jones | denise morgan | 19 may 1997 |\n| 42 | 16 | fireworks | chris martin - jones | denise morgan | 26 may 1997 |\n| 43 | 17 | shroud lines | geoffrey nottage | tony morphett | 2 june 1997 |\n| 44 | 18 | hunting season | geoffrey nottage | peter gawler | 9 june 1997 |\n| 45 | 19 | blood trail (1) | peter andrikidis | vicki madden | 16 june 1997 |\n| 46 | 20 | dead or alive (2) | peter andrikidis | susan hore | 23 june 1997 |\n| 47 | 21 | all at sea | chris martin - jones | michael miller | 30 june 1997 |\n| 48 | 22 | retribution | chris martin - jones | anne brooksbank and vicki madden | 7 july 1997 |\n| 49 | 23 | smile (1) | peter andrikidis | tony morphett | 14 july 1997 |\n| 50 | 24 | deadfall (2) | peter andrikidis | tony morphett | 21 july 1997 |\n| 51 | 25 | the witness (3) | guy norris | margaret wilson | 28 july 1997 |" + } + ] + }, + { + "id": "table_recognition_train_item_115987", + "image": "table_instructV/images/Rotowire_train_table_2336.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 76ers | Philadelphia | 114 | 29 | 39 | 22 | 24 | 27 | 45 | 13 | 55 | 67 | 44 | 5 | 37 | | | | |\n| Trail Blazers | Portland | 89 | 17 | 26 | 19 | 27 | 17 | 38 | 13 | 39 | 67 | 17 | 18 | 25 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Jahlil Okafor | 29 | 25 | 10 | 1 | 12-16 | 75% | 0-0 | 0% | 1-4 | 25% | 0 | 3 | 0 | 0 | 10 | 4 | C | Philadelphia |\n| Richaun Holmes | 27 | 17 | 6 | 3 | 5-9 | 56% | 1-3 | 33% | 6-7 | 86% | 0 | 1 | 1 | 1 | 5 | 1 | N/A | Philadelphia |\n| Ish Smith | 25 | 16 | 2 | 5 | 6-9 | 67% | 0-0 | 0% | 4-6 | 67% | 1 | 0 | 0 | 1 | 1 | 3 | G | Philadelphia |\n| Robert Covington | 26 | 16 | 4 | 3 | 5-12 | 42% | 4-10 | 40% | 2-2 | 100% | 1 | 2 | 0 | 0 | 4 | 4 | N/A | Philadelphia |\n| Isaiah Canaan | 31 | 14 | 4 | 4 | 5-10 | 50% | 2-5 | 40% | 2-3 | 67% | 1 | 1 | 1 | 0 | 4 | 1 | G | Philadelphia |\n| TJ McConnell | 15 | 8 | 1 | 7 | 3-4 | 75% | 1-1 | 100% | 1-2 | 50% | 1 | 1 | 0 | 0 | 1 | 3 | N/A | Philadelphia |\n| Kendall Marshall | 8 | 5 | 2 | 0 | 2-3 | 67% | 1-1 | 100% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 0 | N/A | Philadelphia |\n| Nerlens Noel | 26 | 4 | 8 | 1 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 4 | 1 | 4 | 1 | 7 | 2 | F | Philadelphia |\n| Hollis Thompson | 23 | 3 | 4 | 1 | 1-5 | 20% | 1-3 | 33% | 0-0 | 0% | 0 | 1 | 0 | 0 | 4 | 2 | N/A | Philadelphia |\n| Carl Landry | 7 | 3 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 3-4 | 75% | 1 | 0 | 0 | 0 | 0 | 1 | N/A | Philadelphia |\n| JaKarr Sampson | 23 | 3 | 4 | 2 | 1-4 | 25% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 2 | 0 | 4 | 4 | F | Philadelphia |\n| Jerami Grant | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Nik Stauskas | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Trail Blazers | | | | | | | | | | | | | | | | | | |\n| Meyers Leonard | 27 | 14 | 7 | 0 | 6-11 | 55% | 2-6 | 33% | 0-0 | 0% | 0 | 2 | 0 | 1 | 6 | 5 | N/A | Portland |\n| Damian Lillard | 30 | 14 | 2 | 2 | 4-18 | 22% | 1-6 | 17% | 5-6 | 83% | 0 | 2 | 0 | 0 | 2 | 1 | G | Portland |\n| CJ McCollum | 27 | 13 | 2 | 2 | 6-18 | 33% | 1-6 | 17% | 0-2 | 0% | 1 | 1 | 0 | 1 | 1 | 2 | G | Portland |\n| Mason Plumlee | 22 | 12 | 4 | 1 | 4-7 | 57% | 0-0 | 0% | 4-7 | 57% | 1 | 3 | 2 | 3 | 1 | 2 | C | Portland |\n| Noah Vonleh | 21 | 9 | 5 | 1 | 3-5 | 60% | 0-1 | 0% | 3-4 | 75% | 1 | 1 | 0 | 1 | 4 | 5 | F | Portland |\n| Ed Davis | 17 | 9 | 3 | 0 | 3-4 | 75% | 0-0 | 0% | 3-3 | 100% | 0 | 0 | 1 | 2 | 1 | 3 | N/A | Portland |\n| Gerald Henderson | 19 | 9 | 5 | 2 | 4-7 | 57% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 5 | 0 | N/A | Portland |\n| Tim Frazier | 12 | 3 | 1 | 5 | 1-3 | 33% | 0-2 | 0% | 1-2 | 50% | 1 | 0 | 0 | 0 | 1 | 2 | N/A | Portland |\n| Al-Farouq Aminu | 25 | 2 | 6 | 0 | 1-5 | 20% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 0 | 1 | 5 | 1 | F | Portland |\n| Allen Crabbe | 20 | 2 | 1 | 3 | 1-4 | 25% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Portland |\n| Maurice Harkless | 14 | 2 | 1 | 1 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 1 | 2 | 1 | 0 | 1 | 1 | N/A | Portland |\n| Pat Connaughton | 6 | 0 | 1 | 0 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Portland |\n| Chris Kaman | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |" + } + ] + }, + { + "id": "table_recognition_train_item_31296", + "image": "table_instructV/images/TABMWP_6102.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Mixture | Temperature (°C) |\n| --- | --- |\n| Bromine mixture | -4 |\n| Acetone mixture | 5 |" + } + ] + }, + { + "id": "table_recognition_train_item_64398", + "image": "table_instructV/images/TabFact_2-13047884-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| year | competition | venue | position | event |\n| --- | --- | --- | --- | --- |\n| 2007 | european championships | sofia , bulgaria | 3rd | 48 kg |\n| 2007 | world championships | baku , azerbaijan | 8th | 48 kg |\n| 2008 | european championships | tampere , finland | 2nd | 51 kg |\n| 2008 | olympic games | beijing , republic of china | 12th | 48 kg |\n| 2009 | european championships | vilnius , lithuania | 10th | 51 kg |\n| 2009 | world championships | herning , denmark | 1st | 51 kg |\n| 2010 | european championships | baku , azerbaijan | 1st | 51 kg |\n| 2010 | world championships | moscow , russia | 3rd | 51 kg |\n| 2011 | world championships | istanbul , turkey | 2nd | 59 kg |\n| 2012 | european championships | belgrade , serbia | 2nd | 55 kg |\n| 2012 | olympic games | london , great britain | 7th | 55 kg |\n| 2013 | european championships | tbilisi , georgia | 1st | 55 kg |" + } + ] + }, + { + "id": "table_recognition_train_item_48464", + "image": "table_instructV/images/TAT-QA_55a6d4e1-749a-4f1f-a17f-057574f0a67b.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| | 2019 | | 2018 | |\n| --- | --- | --- | --- | --- |\n| (In thousands, except percentages) | Dollars | % of Revenue | Dollars | % of Revenue |\n| Revenue | $3,090,325 | 100.0% | $2,973,536 | 100.0% |\n| Cost of goods sold | 1,895,142 | 61.3 | 1,826,570 | 61.4 |\n| Gross profit | 1,195,183 | 38.7 | 1,146,966 | 38.6 |\n| Research and development | 450,482 | 14.6 | 445,103 | 15.0 |\n| Selling, general, and administrative | 476,074 | 15.4 | 527,751 | 17.7 |\n| Other operating expense | 52,161 | 1.7 | 103,830 | 3.5 |\n| Operatingincome | $216,466 | 7.0% | $70,282 | 2.4% |" + } + ] + }, + { + "id": "table_recognition_train_item_113377", + "image": "table_instructV/images/Rotowire_train_table_1031.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Spurs | San Antonio | 106 | 22 | 26 | 33 | 25 | 22 | 44 | 12 | 52 | 92 | 46 | 1 | 0 | | | | |\n| Grizzlies | Memphis | 74 | 13 | 24 | 14 | 23 | 17 | 35 | 16 | 39 | 67 | 44 | 0 | 1 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Kawhi Leonard | 29 | 20 | 2 | 0 | 8-13 | 62% | 3-6 | 50% | 1-1 | 100% | 4 | 1 | 3 | 1 | 1 | 0 | F | San Antonio |\n| LaMarcus Aldridge | 27 | 17 | 4 | 0 | 8-15 | 53% | 0-0 | 0% | 1-1 | 100% | 0 | 1 | 2 | 3 | 1 | 1 | F | San Antonio |\n| Patty Mills | 19 | 15 | 4 | 2 | 4-8 | 50% | 3-7 | 43% | 4-4 | 100% | 2 | 0 | 0 | 0 | 4 | 0 | N/A | San Antonio |\n| Tony Parker | 21 | 15 | 1 | 6 | 6-10 | 60% | 0-0 | 0% | 3-3 | 100% | 0 | 3 | 0 | 0 | 1 | 1 | G | San Antonio |\n| Kevin Martin | 12 | 10 | 1 | 1 | 4-6 | 67% | 2-3 | 67% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | San Antonio |\n| Tim Duncan | 22 | 7 | 11 | 0 | 3-4 | 75% | 0-0 | 0% | 1-2 | 50% | 1 | 2 | 2 | 1 | 10 | 1 | C | San Antonio |\n| Boban Marjanovic | 10 | 6 | 1 | 1 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | San Antonio |\n| Boris Diaw | 21 | 4 | 2 | 5 | 2-6 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | San Antonio |\n| David West | 17 | 4 | 5 | 2 | 1-3 | 33% | 0-0 | 0% | 2-2 | 100% | 0 | 2 | 0 | 2 | 3 | 2 | N/A | San Antonio |\n| Jonathon Simmons | 8 | 3 | 1 | 1 | 1-4 | 25% | 1-2 | 50% | 0-0 | 0% | 1 | 1 | 0 | 1 | 0 | 0 | N/A | San Antonio |\n| Danny Green | 20 | 3 | 3 | 0 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 3 | 0 | 0 | 0 | 3 | 1 | G | San Antonio |\n| Manu Ginobili | 21 | 2 | 7 | 3 | 1-5 | 20% | 0-2 | 0% | 0-0 | 0% | 1 | 0 | 1 | 0 | 7 | 1 | N/A | San Antonio |\n| Kyle Anderson | 15 | 0 | 2 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 1 | 1 | 3 | N/A | San Antonio |\n| Grizzlies | | | | | | | | | | | | | | | | | | |\n| Vince Carter | 19 | 16 | 3 | 2 | 6-7 | 86% | 2-3 | 67% | 2-2 | 100% | 0 | 1 | 1 | 0 | 3 | 2 | G | Memphis |\n| Lance Stephenson | 29 | 14 | 2 | 2 | 6-11 | 55% | 2-4 | 50% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 1 | N/A | Memphis |\n| Tony Allen | 21 | 7 | 3 | 1 | 3-9 | 33% | 1-1 | 100% | 0-0 | 0% | 0 | 2 | 1 | 2 | 1 | 2 | N/A | Memphis |\n| JaMychal Green | 19 | 7 | 2 | 0 | 3-7 | 43% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 1 | 1 | 2 | N/A | Memphis |\n| Zach Randolph | 28 | 6 | 5 | 3 | 3-13 | 23% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 0 | 1 | 4 | 2 | F | Memphis |\n| Jordan Farmar | 22 | 6 | 2 | 3 | 2-6 | 33% | 2-3 | 67% | 0-0 | 0% | 0 | 1 | 1 | 0 | 2 | 1 | G | Memphis |\n| Jarell Martin | 23 | 5 | 4 | 0 | 2-3 | 67% | 0-0 | 0% | 1-2 | 50% | 1 | 1 | 0 | 2 | 2 | 1 | N/A | Memphis |\n| PJ Hairston | 12 | 5 | 0 | 0 | 2-4 | 50% | 1-2 | 50% | 0-0 | 0% | 1 | 1 | 0 | 0 | 0 | 1 | N/A | Memphis |\n| Xavier Munford | 28 | 4 | 1 | 4 | 2-9 | 22% | 0-2 | 0% | 0-0 | 0% | 3 | 2 | 1 | 0 | 1 | 1 | N/A | Memphis |\n| Matt Barnes | 23 | 2 | 4 | 1 | 1-7 | 14% | 0-3 | 0% | 0-0 | 0% | 0 | 3 | 0 | 1 | 3 | 2 | F | Memphis |\n| Chris Andersen | 17 | 2 | 9 | 1 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 1 | 3 | 6 | 1 | C | Memphis |\n| Mike Conley | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Brandan Wright | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |" + } + ] + }, + { + "id": "table_recognition_train_item_70086", + "image": "table_instructV/images/TabFact_2-12200520-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| film | director (s) | recipient | date | award |\n| --- | --- | --- | --- | --- |\n| hallo panda | ben blaine , chris blaine | charlie productions ltd | 5 / 4 / /06 | 25000 |\n| soft | simon ellis | bub ltd | 22 / 3 / 06 | 25000 |\n| dog 's mercury | martin radich | warp films ltd | 4 / 5 / 06 | 25000 |\n| honeymoon | miranda bowen | 2 am films ltd | 15 / 3 / 06 | 25000 |\n| after the rain | gaelle dennis | passion pictures | 14 / 6 / 6 | 25000 |" + } + ] + }, + { + "id": "table_recognition_train_item_111895", + "image": "table_instructV/images/Rotowire_train_table_290.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Suns | Phoenix | 104 | 21 | 24 | 38 | 21 | 23 | 55 | 12 | 37 | 76 | 24 | 3 | 7 | | | | |\n| Nets | Brooklyn | 122 | 23 | 35 | 32 | 32 | 22 | 55 | 17 | 48 | 87 | 43 | 4 | 5 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Suns | | | | | | | | | | | | | | | | | | |\n| TJ Warren | 34 | 18 | 3 | 2 | 9-17 | 53% | 0-3 | 0% | 0-0 | 0% | 3 | 1 | 1 | 3 | 0 | 3 | F | Phoenix |\n| Jared Dudley | 28 | 17 | 6 | 2 | 6-12 | 50% | 4-8 | 50% | 1-2 | 50% | 0 | 1 | 0 | 2 | 4 | 3 | N/A | Phoenix |\n| Marquese Chriss | 18 | 16 | 5 | 0 | 7-15 | 47% | 2-4 | 50% | 0-0 | 0% | 1 | 2 | 0 | 2 | 3 | 2 | F | Phoenix |\n| Devin Booker | 32 | 11 | 6 | 3 | 5-18 | 28% | 0-4 | 0% | 1-1 | 100% | 1 | 0 | 0 | 1 | 5 | 2 | G | Phoenix |\n| Alex Len | 29 | 10 | 11 | 0 | 4-10 | 40% | 0-0 | 0% | 2-4 | 50% | 0 | 1 | 2 | 3 | 8 | 2 | C | Phoenix |\n| PJ Tucker | 19 | 9 | 6 | 2 | 2-5 | 40% | 0-3 | 0% | 5-5 | 100% | 0 | 1 | 0 | 2 | 4 | 3 | N/A | Phoenix |\n| Eric Bledsoe | 30 | 8 | 8 | 8 | 1-8 | 13% | 1-3 | 33% | 5-7 | 71% | 3 | 3 | 0 | 2 | 6 | 2 | G | Phoenix |\n| Brandon Knight | 22 | 6 | 9 | 4 | 2-13 | 15% | 0-4 | 0% | 2-2 | 100% | 0 | 2 | 0 | 2 | 7 | 1 | N/A | Phoenix |\n| Dragan Bender | 8 | 5 | 1 | 0 | 2-3 | 67% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Phoenix |\n| Alan Williams | 2 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Phoenix |\n| Tyler Ulis | 11 | 2 | 0 | 1 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 0 | 1 | N/A | Phoenix |\n| Leandro Barbosa | 6 | 0 | 0 | 1 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Phoenix |\n| John Jenkins | 2 | 0 | 0 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Phoenix |\n| Nets | | | | | | | | | | | | | | | | | | |\n| Rondae Hollis-Jefferson | 30 | 20 | 13 | 4 | 5-12 | 42% | 0-0 | 0% | 10-11 | 91% | 1 | 3 | 1 | 0 | 13 | 2 | F | Brooklyn |\n| Trevor Booker | 26 | 19 | 8 | 4 | 7-10 | 70% | 1-1 | 100% | 4-4 | 100% | 0 | 0 | 1 | 4 | 4 | 2 | F | Brooklyn |\n| Sean Kilpatrick | 32 | 19 | 9 | 4 | 7-16 | 44% | 3-8 | 38% | 2-3 | 67% | 1 | 4 | 0 | 0 | 9 | 2 | G | Brooklyn |\n| Joe Harris | 24 | 19 | 2 | 1 | 6-10 | 60% | 5-8 | 63% | 2-2 | 100% | 0 | 3 | 0 | 2 | 0 | 4 | N/A | Brooklyn |\n| Brook Lopez | 28 | 11 | 5 | 2 | 3-11 | 27% | 1-5 | 20% | 4-4 | 100% | 1 | 3 | 5 | 0 | 5 | 3 | C | Brooklyn |\n| Luis Scola | 14 | 10 | 5 | 0 | 4-5 | 80% | 2-2 | 100% | 0-0 | 0% | 0 | 1 | 1 | 0 | 5 | 1 | N/A | Brooklyn |\n| Randy Foye | 16 | 8 | 3 | 3 | 3-9 | 33% | 2-6 | 33% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 3 | N/A | Brooklyn |\n| Bojan Bogdanovic | 31 | 7 | 5 | 2 | 2-6 | 33% | 1-4 | 25% | 2-3 | 67% | 0 | 2 | 0 | 0 | 5 | 0 | G | Brooklyn |\n| Justin Hamilton | 26 | 7 | 3 | 0 | 2-2 | 100% | 1-1 | 100% | 2-3 | 67% | 2 | 1 | 1 | 0 | 3 | 1 | N/A | Brooklyn |\n| Yogi Ferrell | 13 | 2 | 1 | 2 | 1-3 | 33% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 1 | 1 | N/A | Brooklyn |\n| Anthony Bennett | 2 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Brooklyn |\n| Isaiah Whitehead | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |" + } + ] + }, + { + "id": "table_recognition_train_item_62196", + "image": "table_instructV/images/TabFact_2-10784488-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| name | founded | institution | location | status |\n| --- | --- | --- | --- | --- |\n| alpha | 1879 | columbia university | new york city , ny , us | inactive , 2009 |\n| alpha beta | 1899 | university of minnesota | minneapolis / st paul , mn , us | inactive , 2007 |\n| alpha nu | 1991 | claremont colleges | claremont , ca , us | inactive , 2007 |\n| alpha omega | 1984 | villanova university | radnor township , pa , us | inactive , 1999 |\n| beta sigma | 2007 | university of georgia | athens , ga , us | inactive , 2008 |\n| gamma | 1875 | syracuse university | syracuse , ny , us | inactive , 2007 |\n| delta alpha | 1990 | university of colorado | boulder , co , us | inactive , 1996 |\n| delta kappa | 2001 | university of new brunswick | fredericton , nb , ca | inactive , 2004 |\n| epsilon | 1852 | brown university | providence , ri , us | inactive , 1986 |\n| zeta | 1848 | williams college | williamstown , ma , us | inactive , 1991 |\n| theta tau | 1994 | university of vermont | burlington , vt , us | inactive , 2002 |\n| iota delta | 1981 | university of california at davis | davis , ca , us | inactive , 1998 |\n| lambda | 1867 | bowdoin college | brunswick , me , us | inactive , 1991 |\n| mu | 1892 | stanford university | stanford , ca , us | inactive , 1998 |\n| mu alpha | 1999 | texas tech university | lubbock , tx , us | inactive , 2003 |\n| omicron sigma | 1962 | oregon state university | corvallis , or , us | inactive , 1971 |\n| rho | 1956 | middlebury college | middlebury , vt , us | inactive , 1987 |\n| rho epsilon | 1852 | harvard university | cambridge , ma , us | inactive , 1998 |\n| sigma zeta | 1924 | university of california , los angeles | los angeles , ca , us | inactive , 2009 |\n| tau alpha | 1992 | texas a&m university | college station , tx , us | inactive , 1998 |\n| tau delta | 1973 | lehigh university | bethlehem , pa , us | inactive , 2002 |\n| upsilon mu | 1975 | university of massachusetts | amherst , ma , us | inactive , 2009 |\n| chi | 1850 | colby college | waterville , me , us | inactive , 1989 |\n| chi gamma | 1967 | university of calgary | calgary , ab , ca | inactive , 2007 |\n| psi zeta | 1979 | ohio state university | columbus , oh , us | inactive , 1984 |\n| psi kappa | 1996 | university of southern california | los angeles , ca , us | inactive , 1998 |\n| omega | 1947 | northwestern university | evanston , il , us | inactive , 1993 |" + } + ] + }, + { + "id": "table_recognition_train_item_56384", + "image": "table_instructV/images/TabFact_2-17311797-11.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | series |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | april 19 | 76ers | l 98 - 100 (ot) | dwight howard (31) | dwight howard (16) | rafer alston (5) | amway arena 17461 | 0 - 1 |\n| 2 | april 22 | 76ers | w 96 - 87 (ot) | courtney lee (24) | dwight howard (10) | rashard lewis (6) | amway arena 17461 | 1 - 1 |\n| 3 | april 24 | 76ers | l 94 - 96 (ot) | dwight howard (36) | dwight howard (11) | courtney lee (5) | wachovia center 16492 | 1 - 2 |\n| 4 | april 26 | 76ers | w 84 - 81 (ot) | dwight howard (18) | dwight howard (18) | rafer alston (5) | wachovia center 16464 | 2 - 2 |\n| 5 | april 28 | 76ers | w 91 - 78 (ot) | dwight howard , rashard lewis (24) | dwight howard (24) | rafer alston , hedo türkoğlu (4) | amway arena 17461 | 3 - 2 |\n| 6 | april 30 | 76ers | w 114 - 89 (ot) | rashard lewis (29) | marcin gortat (15) | rafer alston (10) | wachovia center 16691 | 4 - 2 |" + } + ] + }, + { + "id": "table_recognition_train_item_64174", + "image": "table_instructV/images/TabFact_2-10260670-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| rank | nation | gold | silver | bronze | total |\n| --- | --- | --- | --- | --- | --- |\n| 1 | cuba | 27 | 17 | 7 | 51 |\n| 2 | mexico | 10 | 13 | 5 | 28 |\n| 3 | colombia | 2 | 4 | 9 | 15 |\n| 4 | puerto rico | 2 | 3 | 3 | 8 |\n| 5 | suriname | 1 | 1 | 0 | 2 |\n| 6 | jamaica | 1 | 0 | 2 | 3 |\n| 7 | antigua and barbuda | 0 | 2 | 1 | 3 |\n| 8 | venezuela | 0 | 1 | 7 | 8 |\n| 9 | trinidad and tobago | 0 | 1 | 3 | 4 |\n| 10 | barbados | 0 | 1 | 0 | 1 |\n| 11 | costa rica | 0 | 0 | 2 | 2 |\n| 11 | bermuda | 0 | 0 | 2 | 2 |\n| 13 | bahamas | 0 | 0 | 1 | 1 |\n| 13 | guyana | 0 | 0 | 1 | 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_57248", + "image": "table_instructV/images/TabFact_2-13054553-15.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| school | team | division record | overall record | season outcome |\n| --- | --- | --- | --- | --- |\n| sussex central | golden knights | 5 - 1 | 7 - 4 | loss in first round of div i playoffs |\n| caesar rodney | riders | 5 - 1 | 7 - 4 | loss in first round of div i playoffs |\n| dover | senators | 3 - 3 | 6 - 4 | failed to make playoffs |\n| sussex tech | ravens | 3 - 3 | 5 - 5 | failed to make playoffs |\n| cape henlopen | vikings | 2 - 4 | 5 - 5 | failed to make playoffs |\n| smyrna | eagles | 2 - 4 | 4 - 6 | failed to make playoffs |\n| milford | buccaneers | 1 - 5 | 3 - 7 | failed to make playoffs |" + } + ] + }, + { + "id": "table_recognition_train_item_51088", + "image": "table_instructV/images/TAT-QA_00234411-6779-46a1-915a-d58e3e27716a.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| | Year Ended December 31, | Year Ended December 31, | Year Ended December 31, | Variation | Variation |\n| --- | --- | --- | --- | --- | --- |\n| | 2019 | 2018 | 2017 | 2019 vs 2018 | 2018 vs 2017 |\n| | (In millions) | (In millions) | (In millions) | | |\n| Selling, general and administrative expenses | $(1,093) | $(1,095) | $(981) | 0.3% | (11.7)% |\n| Research and development expenses | (1,498) | (1,398) | (1,296) | (7.1) | (7.9) |\n| Total operating expenses | $(2,591) | $(2,493) | $(2,277) | (3.9)% | (9.5)% |\n| As percentage of net revenues | (27.1)% | (25.8)% | (27.3)% | -130 bps | +150 bps |" + } + ] + }, + { + "id": "table_recognition_train_item_105714", + "image": "table_instructV/images/ToTTo_train_table_23964.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Pos | Player | G | AB | H | Avg. | HR | RBI |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| C | Johnny Bassler | 119 | 388 | 119 | .307 | 0 | 56 |\n| 1B | Lu Blue | 153 | 585 | 180 | .308 | 5 | 75 |\n| 2B | Ralph Young | 107 | 401 | 120 | .299 | 0 | 29 |\n| 3B | Bob Jones | 141 | 554 | 168 | .303 | 1 | 72 |\n| SS | Donie Bush | 104 | 402 | 113 | .281 | 0 | 27 |\n| OF | Bobby Veach | 150 | 612 | 207 | .338 | 16 | 128 |\n| OF | Ty Cobb | 128 | 507 | 197 | .389 | 12 | 101 |\n| OF | Harry Heilmann | 149 | 602 | 237 | .394 | 19 | 139 |" + } + ] + }, + { + "id": "table_recognition_train_item_34526", + "image": "table_instructV/images/TABMWP_5655.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Dog | Weight change (oz.) |\n| --- | --- |\n| Sprinkles | 5 |\n| Champ | -6 |" + } + ] + }, + { + "id": "table_recognition_train_item_60238", + "image": "table_instructV/images/TabFact_1-11094950-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| team | location | joined | conference | division | previous conference |\n| --- | --- | --- | --- | --- | --- |\n| canton chiefs | canton township | 2008 | kensington | south | western lakes activities association |\n| churchill chargers | livonia | 2008 | kensington | south | western lakes activities association |\n| franklin patriots | livonia | 2008 | kensington | south | western lakes activities association |\n| john glenn rockets | westland | 2008 | kensington | south | western lakes activities association |\n| plymouth wildcats | canton township | 2008 | kensington | south | western lakes activities association |\n| wayne memorial zebras | wayne | 2008 | kensington | south | western lakes activities association |\n| northville mustangs | northville | 2008 | kensington | central | western lakes activities association |\n| novi wildcats | novi | 2008 | kensington | central | kensington valley conference |\n| salem rocks | canton township | 2008 | kensington | central | western lakes activities association |\n| south lyon lions | south lyon | 2008 | kensington | central | kensington valley conference |\n| south lyon east cougars | south lyon | 2008 | kensington | central | none (school opened in 2008) |\n| stevenson spartans | livonia | 2008 | kensington | central | western lakes activities association |\n| lakeland eagles | white lake | 2008 | lakes | north | kensington valley conference |\n| walled lake central vikings | commerce township | 2008 | lakes | north | western lakes activities association |\n| walled lake northern knights | commerce township | 2008 | lakes | north | western lakes activities association |\n| walled lake western warriors | commerce township | 2008 | lakes | north | western lakes activities association |\n| waterford kettering captains | waterford | 2008 | lakes | north | oakland activities association |\n| waterford mott corsairs | waterford | 2008 | lakes | north | oakland activities association |\n| brighton bulldogs | brighton | 2008 | lakes | west | kensington valley conference |\n| grand blanc bobcats | grand blanc | 2009 | lakes | west | big nine conference |\n| hartland eagles | hartland township | 2008 | lakes | west | kensington valley conference |\n| howell highlanders | howell | 2008 | lakes | west | kensington valley conference |\n| milford mavericks | highland township | 2008 | lakes | west | kensington valley conference |" + } + ] + }, + { + "id": "table_recognition_train_item_61126", + "image": "table_instructV/images/TabFact_2-10758004-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| event | time | nationality | date | meet | location |\n| --- | --- | --- | --- | --- | --- |\n| 50 m freestyle | 22.11 | australia | 28 august 2013 | 2013 championships | dubai , united arab emirates |\n| 100 m freestyle | 48.97 | united states | 31 august 2013 | 2013 championships | dubai , united arab emirates |\n| 200 m freestyle | 1:47.55 | australia | 27 august 2013 | 2013 championships | dubai , united arab emirates |\n| 400 m freestyle | 3:47.12 | australia | 26 august 2013 | 2013 championships | dubai , united arab emirates |\n| 800 m freestyle | 7:45.67 | australia | 28 august 2013 | 2013 championships | dubai , united arab emirates |\n| 1500 m freestyle | 14:56.60 | australia | 31 august 2013 | 2013 championships | dubai , united arab emirates |\n| 50 m backstroke | 25.44 | russia | 29 august 2013 | 2013 championships | dubai , united arab emirates |\n| 100 m backstroke | 54.87 | greece | 27 august 2013 | 2013 championships | dubai , united arab emirates |\n| 200 m backstroke | 1:57.92 | italy | 31 august 2013 | 2013 championships | dubai , united arab emirates |\n| 50 m breaststroke | 27.74 | slovenia | 30 august 2013 | 2013 championships | dubai , united arab emirates |\n| 100 m breaststroke | 1:00.88 | russia | 27 august 2013 | 2013 championships | dubai , united arab emirates |\n| 200 m breaststroke | 2:10.75 | russia | 29 august 2013 | 2013 championships | dubai , united arab emirates |\n| 50 m butterfly | 23.61 | new zealand | 11 july 2008 | 2008 championships | monterrey , mexico |\n| 100 m butterfly | 52.52 | new zealand | 9 july 2008 | 2008 championships | monterrey , mexico |\n| 200 m butterfly | 1:56.42 | united states | 31 august 2013 | 2013 championships | dubai , united arab emirates |\n| 200 m individual medley | 1:59.44 | united states | 27 august 2013 | 2013 championships | dubai , united arab emirates |\n| 400 m individual medley | 4:14.97 | united states | 30 august 2013 | 2013 championships | dubai , united arab emirates |\n| 4100 m freestyle relay | 3:16.96 | australia | 26 august 2013 | 2013 championships | dubai , united arab emirates |\n| 4200 m freestyle relay | 7:15.36 | great britain | 29 august 2013 | 2013 championships | dubai , united arab emirates |\n| 4100 m medley relay | 3:38.13 | japan | 31 august 2013 | 2013 championships | dubai , united arab emirates |" + } + ] + }, + { + "id": "table_recognition_train_item_115675", + "image": "table_instructV/images/Rotowire_train_table_2180.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Timberwolves | Minnesota | 106 | 25 | 27 | 25 | 29 | 18 | 46 | 18 | 44 | 77 | 39 | 8 | 12 | | | | |\n| Clippers | LA | 110 | 29 | 21 | 21 | 39 | 21 | 43 | 17 | 44 | 90 | 32 | 12 | 9 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Zach LaVine | 25 | 21 | 3 | 2 | 7-16 | 44% | 1-2 | 50% | 6-6 | 100% | 1 | 2 | 0 | 0 | 3 | 2 | N/A | Minnesota |\n| Karl-Anthony Towns | 29 | 18 | 5 | 2 | 7-9 | 78% | 3-3 | 100% | 1-2 | 50% | 0 | 2 | 2 | 0 | 5 | 6 | C | Minnesota |\n| Ricky Rubio | 29 | 16 | 5 | 7 | 4-8 | 50% | 0-1 | 0% | 8-8 | 100% | 4 | 6 | 0 | 1 | 4 | 2 | G | Minnesota |\n| Gorgui Dieng | 30 | 14 | 5 | 2 | 5-10 | 50% | 0-0 | 0% | 4-4 | 100% | 0 | 2 | 0 | 1 | 4 | 5 | N/A | Minnesota |\n| Shabazz Muhammad | 26 | 13 | 9 | 0 | 4-10 | 40% | 0-3 | 0% | 5-7 | 71% | 0 | 1 | 0 | 4 | 5 | 0 | N/A | Minnesota |\n| Nemanja Bjelica | 17 | 9 | 4 | 1 | 3-5 | 60% | 2-4 | 50% | 1-1 | 100% | 0 | 1 | 0 | 2 | 2 | 3 | N/A | Minnesota |\n| Andrew Wiggins | 31 | 8 | 7 | 0 | 3-15 | 20% | 1-4 | 25% | 1-5 | 20% | 1 | 2 | 1 | 3 | 4 | 4 | F | Minnesota |\n| Kevin Garnett | 19 | 5 | 3 | 2 | 2-5 | 40% | 0-0 | 0% | 1-2 | 50% | 1 | 1 | 0 | 0 | 3 | 5 | F | Minnesota |\n| Tayshaun Prince | 20 | 2 | 3 | 2 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 2 | 0 | 0 | 0 | 3 | 1 | N/A | Minnesota |\n| Kevin Martin | 14 | 0 | 2 | 0 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 1 | G | Minnesota |\n| Adreian Payne | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Damjan Rudez | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Andre Miller | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Clippers | | | | | | | | | | | | | | | | | | |\n| DeAndre Jordan | 34 | 20 | 12 | 0 | 8-9 | 89% | 0-0 | 0% | 4-6 | 67% | 2 | 1 | 4 | 6 | 6 | 4 | C | LA |\n| Jamal Crawford | 27 | 18 | 3 | 7 | 5-11 | 46% | 4-6 | 67% | 4-4 | 100% | 1 | 2 | 0 | 0 | 3 | 2 | N/A | LA |\n| Blake Griffin | 37 | 16 | 11 | 5 | 7-17 | 41% | 0-1 | 0% | 2-2 | 100% | 1 | 3 | 0 | 3 | 8 | 4 | F | LA |\n| Chris Paul | 32 | 14 | 1 | 5 | 5-14 | 36% | 1-2 | 50% | 3-3 | 100% | 4 | 5 | 0 | 0 | 1 | 4 | G | LA |\n| JJ Redick | 22 | 13 | 3 | 0 | 1-9 | 11% | 0-5 | 0% | 11-11 | 100% | 0 | 2 | 0 | 0 | 3 | 0 | G | LA |\n| Wesley Johnson | 22 | 10 | 2 | 1 | 4-6 | 67% | 2-4 | 50% | 0-0 | 0% | 1 | 0 | 2 | 1 | 1 | 2 | N/A | LA |\n| Josh Smith | 15 | 8 | 3 | 0 | 4-7 | 57% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 3 | 1 | 2 | 3 | N/A | LA |\n| Austin Rivers | 17 | 7 | 4 | 3 | 3-5 | 60% | 0-2 | 0% | 1-1 | 100% | 0 | 1 | 0 | 1 | 3 | 2 | N/A | LA |\n| Lance Stephenson | 13 | 3 | 1 | 0 | 1-2 | 50% | 1-2 | 50% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 3 | N/A | LA |\n| Luc Mbah a Moute | 16 | 1 | 3 | 0 | 0-4 | 0% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 0 | 1 | 2 | 2 | F | LA |\n| Paul Pierce | 6 | 0 | 0 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 0 | N/A | LA |\n| Cole Aldrich | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |\n| Pablo Prigioni | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |" + } + ] + }, + { + "id": "table_recognition_train_item_50032", + "image": "table_instructV/images/TAT-QA_6e1794a9-8adc-4fbe-8075-73755e6774ac.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| Name | Age | Position |\n| --- | --- | --- |\n| Michael Hsing | 60 | President, Chief Executive Officer and Director |\n| Bernie Blegen | 62 | Vice President and Chief Financial Officer |\n| Deming Xiao | 57 | President of Asia Operations |\n| Maurice Sciammas | 60 | Senior Vice President of Worldwide Sales and Marketing |\n| Saria Tseng | 49 | Vice President, Strategic Corporate Development, General Counsel and Corporate Secretary |" + } + ] + }, + { + "id": "table_recognition_train_item_49468", + "image": "table_instructV/images/TAT-QA_af991b68-84d9-4f11-8137-f8bb99bd6786.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| | Weighted Average Useful Life | April 4, 2016 |\n| --- | --- | --- |\n| | (in years) | (in millions) |\n| Core and developed technology | 11 | $1,075.0 |\n| In-process research and development | — | 140.7 |\n| Customer-related | 6 | 630.6 |\n| Backlog | 1 | 40.3 |\n| Other | 5 | 1.8 |\n| Total purchased intangible assets | | $1,888.4 |" + } + ] + }, + { + "id": "table_recognition_train_item_33799", + "image": "table_instructV/images/TABMWP_32863.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of bracelets | Number of opals |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_62224", + "image": "table_instructV/images/TabFact_2-15016411-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| draw | artist | song | points | place |\n| --- | --- | --- | --- | --- |\n| 1 | nico & vlad mirita | pe - o margine de lume | 284 | 1 |\n| 2 | inesa | la storia della pioggia | 89 | 11 |\n| 3 | adrian enache | te iubesc | 114 | 8 |\n| 4 | lagaylia frazier | dr frankenstein | 174 | 5 |\n| 5 | new effect feat gentiana | zamira | 119 | 7 |\n| 6 | tabasco | love is all i need | 170 | 6 |\n| 7 | cătălin josan | when we 're together | 217 | 3 |\n| 8 | daniela nicol | why | 112 | 10 |\n| 9 | yana | c'est la vie | 113 | 9 |\n| 10 | leo iorga & pacifica | prea mici sunt cuvintele | 206 | 4 |\n| 11 | ana mardare & irvin doomes | heaven | 87 | 12 |\n| 12 | simona nae | the key of life | 229 | 2 |" + } + ] + }, + { + "id": "table_recognition_train_item_101449", + "image": "table_instructV/images/ToTTo_train_table_6123.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| Name | Title | Notes | Approximate time frame | Sources |\n| --- | --- | --- | --- | --- |\n| Corineus | | In the time of Brutus | c. 1100 BC | Historia Regum Britanniae |\n| Gwendolen | Queen | Daughter of Corineus, became queen regnant of Britain | c. 1075 BC | Historia Regum Britanniae |\n| Henwinus | Duke | In the time of Leir | c. 750 BC | Historia Regum Britanniae |\n| Cunedagius | Duke | In the time of Queen Cordelia | c. 715 BC | Historia Regum Britanniae |\n| Cloten | King | During pentarchy after Ferrex and Porrex | c. 450 BC | Historia Regum Britanniae |\n| Dunvallo Molmutius | King | Then king of Britain | c. 420 BC | Historia Regum Britanniae |\n| Belinus | | As king of Loegria, Kambria, and Cornwall | c. 390 BC | Historia Regum Britanniae |\n| Tenvantius | Duke | Made duke by Cassibelanus; later succeeds him as king of Britain | c. 55 BC | Historia Regum Britanniae |\n| Asclepiodotus | Duke | Becomes king of Britain | c. 295 AD | Historia Regum Britanniae |\n| Caradocus | Duke/king | Put forward Maximianus as king of Britain and was king of Cornwall under him | c. 380 AD | Historia Regum Britanniae |\n| Dionotus | King | Made regent of Britain during Maximianus' campaigns | c. 390 AD | Historia Regum Britanniae |\n| Gorlois | Duke | First husband of Igraine, Arthur's mother | c. 510 AD | Historia Regum Britanniae |\n| Cador | Duke/king | Relative of Arthur | c. 530 AD | Historia Regum Britanniae |\n| Constantine | Duke | Subsequently, king of Britain | 542 AD | Historia Regum Britanniae |\n| Blederic | Duke | At the time Augustine arrives | 597 AD | Historia Regum Britanniae |" + } + ] + }, + { + "id": "table_recognition_train_item_34461", + "image": "table_instructV/images/TABMWP_3602.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | Social worker | Doctor |\n| --- | --- | --- |\n| Fear of snakes | 3 | 5 |\n| Fear of heights | 4 | 6 |" + } + ] + }, + { + "id": "table_recognition_train_item_34057", + "image": "table_instructV/images/TABMWP_35557.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $440 | 20,100 | 1,400 |\n| $640 | 15,500 | 5,800 |\n| $840 | 10,900 | 10,200 |\n| $1,040 | 6,300 | 14,600 |\n| $1,240 | 1,700 | 19,000 |" + } + ] + }, + { + "id": "table_recognition_train_item_32114", + "image": "table_instructV/images/TABMWP_14540.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| | Access Bank | City One Bank |\n| --- | --- | --- |\n| Checking account services | Free with minimum average monthly balance of $1,000; Otherwise $8 per month | $10 per month |\n| ATM transactions (bank ATM) | $1 per transaction | No ATM fee |\n| ATM transactions (nonbank ATM) | $2 per transaction | $3 per transaction |\n| Account statements | Free online statements; $4 per month for paper statements | Free online statements; $5 per month for paper statements |" + } + ] + }, + { + "id": "table_recognition_train_item_67246", + "image": "table_instructV/images/TabFact_2-11636955-26.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| rd | pick | player | team (league) | reg gp | pl gp |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 13 | mattias ohlund | luleã hf ( swe ) | 770 | 52 |\n| 2 | 39 | robb gordon | powell river paper kings ( bcjhl ) | 4 | 0 |\n| 2 | 42 | dave scatchard | portland winterhawks ( whl ) | 179 | 0 |\n| 3 | 65 | chad allan | saskatoon blades ( whl ) | 0 | 0 |\n| 4 | 92 | mike dubinsky | brandon wheat kings ( whl ) | 0 | 0 |\n| 5 | 117 | yanick dube | laval titan ( qmjhl ) | 0 | 0 |\n| 7 | 169 | yuri kuznetsov | avangard omsk ( rus ) | 0 | 0 |\n| 8 | 195 | rob trumbley | moose jaw warriors ( whl ) | 0 | 0 |\n| 9 | 221 | bill muckalt | university of michigan ( ncaa ) | 106 | 0 |\n| 10 | 247 | tyson nash | kamloops blazers ( whl ) | 0 | 0 |\n| 11 | 273 | robert longpre | medicine hat tigers ( whl ) | 0 | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_66166", + "image": "table_instructV/images/TabFact_1-1342359-41.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| district | incumbent | party | first elected | result | candidates |\n| --- | --- | --- | --- | --- | --- |\n| tennessee 3 | sam d mcreynolds | democratic | 1922 | re - elected | sam d mcreynolds (d) unopposed |\n| tennessee 4 | cordell hull | democratic | 1922 | retired to run for u s senate democratic hold | john ridley mitchell (d) unopposed |\n| tennessee 5 | ewin l davis | democratic | 1918 | re - elected | ewin l davis (d) 92.0% george motlow (r) 8.0% |\n| tennessee 7 | edward everett eslick | democratic | 1924 | re - elected | edward everett eslick (d) unopposed |\n| tennessee 8 | gordon browning | democratic | 1922 | re - elected | gordon browning (d) unopposed |" + } + ] + }, + { + "id": "table_recognition_train_item_66584", + "image": "table_instructV/images/TabFact_2-17290135-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| place | player | country | score | to par | money |\n| --- | --- | --- | --- | --- | --- |\n| 1 | cary middlecoff | united states | 71 + 70 + 70 + 70 = 281 | + 1 | 6000 |\n| t2 | julius boros | united states | 71 + 71 + 71 + 69 = 282 | + 2 | 2650 |\n| t2 | ben hogan | united states | 72 + 68 + 72 + 70 = 282 | + 2 | 2650 |\n| t4 | ed furgol | united states | 71 + 70 + 73 + 71 = 285 | + 5 | 1033 |\n| t4 | ted kroll | united states | 72 + 70 + 70 + 73 = 285 | + 5 | 1033 |\n| t4 | peter thomson | australia | 70 + 69 + 75 + 71 = 285 | + 5 | 1033 |\n| 7 | arnold palmer | united states | 72 + 70 + 72 + 73 = 287 | + 7 | 600 |\n| 8 | ken venturi (a) | united states | 77 + 71 + 68 + 73 = 289 | + 9 | 0 |\n| t9 | jerry barber | united states | 72 + 69 + 74 + 75 = 290 | + 10 | 416 |\n| t9 | wes ellis | united states | 71 + 70 + 71 + 78 = 290 | + 10 | 416 |\n| t9 | doug ford | united states | 71 + 75 + 70 + 74 = 290 | + 10 | 416 |" + } + ] + }, + { + "id": "table_recognition_train_item_116489", + "image": "table_instructV/images/Rotowire_train_table_2587.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Knicks | New York | 107 | 28 | 32 | 21 | 26 | 26 | 43 | 13 | 47 | 100 | 31 | 7 | 7 | | | | |\n| Trail Blazers | Portland | 103 | 33 | 25 | 23 | 22 | 18 | 44 | 16 | 44 | 81 | 27 | 8 | 8 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Knicks | | | | | | | | | | | | | | | | | | |\n| Kristaps Porzingis | 40 | 31 | 9 | 1 | 13-23 | 56% | 3-8 | 38% | 2-2 | 100% | 0 | 2 | 1 | 3 | 6 | 4 | F | New York |\n| Derrick Rose | 28 | 18 | 4 | 5 | 8-15 | 53% | 0-0 | 0% | 2-2 | 100% | 2 | 1 | 1 | 2 | 2 | 4 | G | New York |\n| Carmelo Anthony | 36 | 17 | 6 | 0 | 7-22 | 32% | 3-9 | 33% | 0-0 | 0% | 1 | 1 | 1 | 2 | 4 | 3 | F | New York |\n| Mindaugas Kuzminskas | 21 | 10 | 3 | 1 | 4-6 | 67% | 2-3 | 67% | 0-0 | 0% | 1 | 1 | 0 | 0 | 3 | 2 | N/A | New York |\n| Willy Hernangomez | 21 | 9 | 4 | 0 | 4-5 | 80% | 0-0 | 0% | 1-1 | 100% | 0 | 4 | 0 | 0 | 4 | 3 | N/A | New York |\n| Justin Holiday | 19 | 7 | 5 | 4 | 3-4 | 75% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 0 | 0 | 5 | 2 | N/A | New York |\n| Courtney Lee | 27 | 5 | 4 | 3 | 2-8 | 25% | 0-4 | 0% | 1-1 | 100% | 1 | 1 | 1 | 1 | 3 | 1 | G | New York |\n| Brandon Jennings | 22 | 4 | 3 | 11 | 2-6 | 33% | 0-4 | 0% | 0-0 | 0% | 2 | 0 | 0 | 1 | 2 | 1 | N/A | New York |\n| Kyle O'Quinn | 24 | 4 | 5 | 1 | 2-6 | 33% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 1 | 4 | 2 | C | New York |\n| Maurice Ndour | 3 | 2 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 1 | 0 | 0 | 1 | N/A | New York |\n| Marshall Plumlee | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Sasha Vujacic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Ron Baker | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Trail Blazers | | | | | | | | | | | | | | | | | | |\n| Damian Lillard | 35 | 22 | 5 | 6 | 8-18 | 44% | 2-6 | 33% | 4-4 | 100% | 2 | 5 | 0 | 0 | 5 | 1 | G | Portland |\n| CJ McCollum | 36 | 16 | 5 | 5 | 6-17 | 35% | 1-3 | 33% | 3-3 | 100% | 0 | 1 | 0 | 1 | 4 | 2 | G | Portland |\n| Maurice Harkless | 34 | 15 | 8 | 0 | 6-13 | 46% | 1-3 | 33% | 2-4 | 50% | 1 | 3 | 1 | 1 | 7 | 3 | F | Portland |\n| Ed Davis | 33 | 14 | 10 | 0 | 7-9 | 78% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 2 | 4 | 6 | 2 | F | Portland |\n| Evan Turner | 24 | 11 | 1 | 2 | 4-8 | 50% | 0-0 | 0% | 3-3 | 100% | 1 | 0 | 0 | 0 | 1 | 0 | N/A | Portland |\n| Mason Plumlee | 28 | 9 | 9 | 4 | 4-5 | 80% | 0-0 | 0% | 1-3 | 33% | 0 | 4 | 1 | 4 | 5 | 1 | C | Portland |\n| Allen Crabbe | 23 | 7 | 3 | 0 | 1-7 | 14% | 1-3 | 33% | 4-5 | 80% | 0 | 0 | 0 | 1 | 2 | 1 | N/A | Portland |\n| Meyers Leonard | 19 | 7 | 1 | 1 | 2-9 | 22% | 1-7 | 14% | 2-2 | 100% | 1 | 0 | 0 | 0 | 1 | 3 | N/A | Portland |\n| Noah Vonleh | 6 | 2 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 2 | 1 | 0 | 2 | 0 | N/A | Portland |\n| Pat Connaughton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Shabazz Napier | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Jake Layman | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Tim Quarterman | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |" + } + ] + }, + { + "id": "table_recognition_train_item_115617", + "image": "table_instructV/images/Rotowire_train_table_2151.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Clippers | LA | 98 | 18 | 32 | 21 | 27 | 20 | 45 | 10 | 42 | 67 | 30 | 2 | 3 | | | | |\n| Trail Blazers | Portland | 108 | 18 | 27 | 26 | 37 | 22 | 53 | 9 | 45 | 65 | 35 | 3 | 2 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Clippers | | | | | | | | | | | | | | | | | | |\n| JJ Redick | 34 | 19 | 3 | 2 | 7-17 | 41% | 3-6 | 50% | 2-2 | 100% | 0 | 0 | 0 | 0 | 3 | 2 | G | LA |\n| Jamal Crawford | 44 | 17 | 3 | 4 | 6-23 | 26% | 1-5 | 20% | 4-4 | 100% | 2 | 1 | 0 | 0 | 3 | 3 | F | LA |\n| Jeff Green | 37 | 17 | 6 | 2 | 6-10 | 60% | 1-2 | 50% | 4-8 | 50% | 3 | 1 | 0 | 1 | 5 | 3 | N/A | LA |\n| DeAndre Jordan | 31 | 16 | 17 | 3 | 5-8 | 63% | 0-0 | 0% | 6-11 | 55% | 0 | 1 | 3 | 4 | 13 | 4 | C | LA |\n| Austin Rivers | 37 | 13 | 3 | 3 | 6-13 | 46% | 1-3 | 33% | 0-1 | 0% | 0 | 3 | 0 | 0 | 3 | 1 | G | LA |\n| Cole Aldrich | 16 | 11 | 3 | 2 | 5-6 | 83% | 0-0 | 0% | 1-1 | 100% | 2 | 0 | 0 | 1 | 2 | 1 | N/A | LA |\n| Wesley Johnson | 13 | 5 | 5 | 0 | 1-2 | 50% | 0-1 | 0% | 3-3 | 100% | 0 | 1 | 0 | 1 | 4 | 2 | N/A | LA |\n| Pablo Prigioni | 15 | 0 | 2 | 4 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 1 | 5 | N/A | LA |\n| Jeff Ayres | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | LA |\n| CJ Wilcox | 2 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | LA |\n| Paul Pierce | 10 | 0 | 2 | 0 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 3 | F | LA |\n| Branden Dawson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |\n| Luc Mbah a Moute | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |\n| Trail Blazers | | | | | | | | | | | | | | | | | | |\n| CJ McCollum | 38 | 27 | 4 | 4 | 9-18 | 50% | 2-6 | 33% | 7-8 | 88% | 0 | 1 | 2 | 0 | 4 | 2 | G | Portland |\n| Damian Lillard | 39 | 22 | 1 | 5 | 7-20 | 35% | 5-10 | 50% | 3-4 | 75% | 3 | 2 | 0 | 0 | 1 | 1 | G | Portland |\n| Maurice Harkless | 33 | 19 | 10 | 0 | 7-14 | 50% | 2-6 | 33% | 3-6 | 50% | 0 | 1 | 0 | 2 | 8 | 5 | F | Portland |\n| Allen Crabbe | 27 | 11 | 4 | 3 | 4-10 | 40% | 2-5 | 40% | 1-2 | 50% | 1 | 0 | 0 | 1 | 3 | 2 | N/A | Portland |\n| Mason Plumlee | 32 | 10 | 15 | 4 | 4-6 | 67% | 0-0 | 0% | 2-2 | 100% | 2 | 2 | 0 | 4 | 11 | 4 | C | Portland |\n| Gerald Henderson | 23 | 10 | 5 | 4 | 4-8 | 50% | 1-2 | 50% | 1-2 | 50% | 1 | 0 | 1 | 0 | 5 | 2 | N/A | Portland |\n| Al-Farouq Aminu | 28 | 7 | 8 | 2 | 1-6 | 17% | 0-5 | 0% | 5-8 | 63% | 1 | 3 | 1 | 2 | 6 | 5 | F | Portland |\n| Ed Davis | 18 | 2 | 5 | 0 | 1-1 | 100% | 0-0 | 0% | 0-2 | 0% | 0 | 0 | 0 | 0 | 5 | 2 | N/A | Portland |\n| Pat Connaughton | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Portland |\n| Brian Roberts | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Portland |\n| Noah Vonleh | 1 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Portland |\n| Luis Montero | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Portland |\n| Chris Kaman | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |" + } + ] + }, + { + "id": "table_recognition_train_item_100722", + "image": "table_instructV/images/ToTTo_train_table_3099.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| | | | | |\n| --- | --- | --- | --- | --- |\n| Game 1 (consolation) | Power | 39–52 | Ghost Ballers | |\n| Game 2 (Championship) | Trilogy | 51–46 | 3 Headed Monsters | |" + } + ] + }, + { + "id": "table_recognition_train_item_116475", + "image": "table_instructV/images/Rotowire_train_table_2580.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Magic | Orlando | 91 | 19 | 21 | 20 | 31 | 24 | 50 | 12 | 42 | 89 | 29 | 22 | 53 | | | | |\n| Spurs | San Antonio | 103 | 23 | 29 | 30 | 21 | 20 | 49 | 10 | 41 | 87 | 45 | 49 | 26 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Victor Oladipo | 40 | 24 | 6 | 7 | 9-19 | 47% | 2-3 | 67% | 4-4 | 100% | 0 | 3 | 0 | 1 | 5 | 1 | G | Orlando |\n| Tobias Harris | 40 | 18 | 7 | 1 | 7-14 | 50% | 1-3 | 33% | 3-4 | 75% | 1 | 2 | 1 | 1 | 6 | 2 | F | Orlando |\n| Nikola Vucevic | 33 | 16 | 11 | 5 | 8-21 | 38% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 3 | 3 | 8 | 0 | C | Orlando |\n| Elfrid Payton | 36 | 14 | 7 | 7 | 7-15 | 47% | 0-0 | 0% | 0-0 | 0% | 4 | 1 | 1 | 4 | 3 | 3 | G | Orlando |\n| Dewayne Dedmon | 24 | 7 | 10 | 0 | 3-3 | 100% | 0-0 | 0% | 1-1 | 100% | 0 | 2 | 1 | 3 | 7 | 6 | F | Orlando |\n| Luke Ridnour | 16 | 6 | 0 | 1 | 2-6 | 33% | 2-4 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Orlando |\n| Willie Green | 13 | 4 | 0 | 1 | 2-3 | 67% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 0 | 0 | N/A | Orlando |\n| Andrew Nicholson | 17 | 2 | 2 | 1 | 1-7 | 14% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 1 | 0 | 2 | 1 | N/A | Orlando |\n| Aaron Gordon | 11 | 0 | 2 | 1 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 2 | N/A | Orlando |\n| Maurice Harkless | 4 | 0 | 3 | 0 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 2 | 1 | 0 | N/A | Orlando |\n| Kyle O'Quinn | 6 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 2 | 0 | N/A | Orlando |\n| Channing Frye | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Ben Gordon | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Aron Baynes | 24 | 18 | 5 | 0 | 5-10 | 50% | 0-0 | 0% | 8-8 | 100% | 0 | 2 | 1 | 2 | 3 | 1 | N/A | San Antonio |\n| Manu Ginobili | 18 | 13 | 3 | 3 | 4-7 | 57% | 3-5 | 60% | 2-2 | 100% | 2 | 1 | 0 | 0 | 3 | 1 | N/A | San Antonio |\n| Marco Belinelli | 30 | 12 | 4 | 3 | 4-12 | 33% | 3-7 | 43% | 1-2 | 50% | 1 | 2 | 0 | 0 | 4 | 0 | N/A | San Antonio |\n| Boris Diaw | 24 | 11 | 4 | 4 | 4-9 | 44% | 2-5 | 40% | 1-1 | 100% | 2 | 1 | 1 | 1 | 3 | 0 | N/A | San Antonio |\n| Kawhi Leonard | 21 | 10 | 7 | 1 | 3-7 | 43% | 2-2 | 100% | 2-2 | 100% | 2 | 0 | 0 | 1 | 6 | 0 | F | San Antonio |\n| Tiago Splitter | 21 | 8 | 7 | 2 | 3-8 | 38% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 4 | 3 | 1 | C | San Antonio |\n| Cory Joseph | 26 | 8 | 7 | 2 | 4-8 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 7 | 3 | N/A | San Antonio |\n| Tony Parker | 22 | 7 | 0 | 4 | 2-7 | 29% | 1-1 | 100% | 2-2 | 100% | 0 | 0 | 0 | 0 | 0 | 1 | G | San Antonio |\n| Tim Duncan | 12 | 6 | 3 | 0 | 2-5 | 40% | 0-0 | 0% | 2-4 | 50% | 0 | 1 | 1 | 0 | 3 | 0 | F | San Antonio |\n| Danny Green | 15 | 3 | 2 | 0 | 1-3 | 33% | 1-3 | 33% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 1 | G | San Antonio |\n| Patty Mills | 12 | 3 | 3 | 1 | 1-4 | 25% | 1-4 | 25% | 0-0 | 0% | 1 | 0 | 0 | 1 | 2 | 0 | N/A | San Antonio |\n| Matt Bonner | 9 | 2 | 1 | 0 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | San Antonio |\n| Jeff Ayres | 6 | 2 | 3 | 0 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 1 | N/A | San Antonio |" + } + ] + }, + { + "id": "table_recognition_train_item_66454", + "image": "table_instructV/images/TabFact_2-1105695-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| years | displacement | engine | power | torque |\n| --- | --- | --- | --- | --- |\n| 1999 - 2004 | 4.0l (242cid) | power tech i6 | - | 3000 rpm |\n| 1999 - 2004 | 4.7l (287cid) | powertech v8 | - | 3200 rpm |\n| 2002 - 2004 | 4.7l (287cid) | high output powertech v8 | - | - |\n| 1999 - 2001 | 3.1l diesel | 531 ohv diesel i5 | - | - |\n| 2002 - 2004 | 2.7l diesel | om647 diesel i5 | - | - |" + } + ] + }, + { + "id": "table_recognition_train_item_33147", + "image": "table_instructV/images/TABMWP_26328.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of toy bins | Number of blue blocks |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_112419", + "image": "table_instructV/images/Rotowire_train_table_552.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wizards | Washington | 129 | 29 | 33 | 27 | 20 | 37 | 45 | 14 | 50 | 70 | 45 | 35 | 37 | | | | |\n| Timberwolves | Minnesota | 132 | 27 | 35 | 23 | 24 | 33 | 42 | 14 | 53 | 100 | 31 | 24 | 48 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| Bradley Beal | 46 | 26 | 4 | 5 | 9-18 | 50% | 4-7 | 57% | 4-4 | 100% | 1 | 2 | 0 | 0 | 4 | 2 | G | Washington |\n| John Wall | 49 | 22 | 3 | 16 | 8-22 | 36% | 3-7 | 43% | 3-3 | 100% | 2 | 4 | 0 | 1 | 2 | 3 | G | Washington |\n| Marcin Gortat | 43 | 19 | 14 | 2 | 8-11 | 73% | 0-0 | 0% | 3-8 | 38% | 1 | 5 | 0 | 8 | 6 | 2 | C | Washington |\n| Nene | 32 | 19 | 3 | 4 | 8-12 | 67% | 0-1 | 0% | 3-4 | 75% | 1 | 1 | 1 | 0 | 3 | 4 | N/A | Washington |\n| Otto Porter | 45 | 14 | 13 | 1 | 6-13 | 46% | 2-3 | 67% | 0-0 | 0% | 0 | 0 | 1 | 4 | 9 | 5 | F | Washington |\n| Jared Dudley | 31 | 10 | 3 | 6 | 4-8 | 50% | 2-5 | 40% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 2 | N/A | Washington |\n| Markieff Morris | 10 | 7 | 3 | 0 | 2-4 | 50% | 1-1 | 100% | 2-2 | 100% | 0 | 1 | 0 | 0 | 3 | 0 | F | Washington |\n| Ramon Sessions | 9 | 6 | 0 | 2 | 3-6 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 2 | N/A | Washington |\n| Garrett Temple | 11 | 3 | 1 | 0 | 1-3 | 33% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Washington |\n| Marcus Thornton | 14 | 3 | 1 | 1 | 1-3 | 33% | 0-2 | 0% | 1-2 | 50% | 2 | 0 | 0 | 0 | 1 | 0 | N/A | Washington |\n| Kelly Oubre Jr. | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Drew Gooden | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| JJ Hickson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Karl-Anthony Towns | 48 | 27 | 10 | 5 | 12-21 | 57% | 1-2 | 50% | 2-2 | 100% | 1 | 4 | 0 | 1 | 9 | 3 | C | Minnesota |\n| Zach LaVine | 45 | 25 | 0 | 4 | 10-17 | 59% | 5-9 | 56% | 0-0 | 0% | 2 | 1 | 0 | 0 | 0 | 1 | G | Minnesota |\n| Gorgui Dieng | 40 | 18 | 9 | 5 | 8-11 | 73% | 1-2 | 50% | 1-1 | 100% | 0 | 0 | 2 | 1 | 8 | 5 | F | Minnesota |\n| Andrew Wiggins | 43 | 16 | 7 | 3 | 4-14 | 29% | 0-4 | 0% | 8-8 | 100% | 1 | 2 | 0 | 2 | 5 | 1 | F | Minnesota |\n| Ricky Rubio | 44 | 13 | 5 | 7 | 4-12 | 33% | 1-5 | 20% | 4-4 | 100% | 2 | 3 | 0 | 0 | 5 | 5 | G | Minnesota |\n| Nemanja Bjelica | 13 | 10 | 3 | 0 | 4-5 | 80% | 0-1 | 0% | 2-2 | 100% | 1 | 0 | 0 | 0 | 3 | 1 | N/A | Minnesota |\n| Tyus Jones | 14 | 8 | 0 | 6 | 3-6 | 50% | 0-1 | 0% | 2-2 | 100% | 2 | 1 | 0 | 0 | 0 | 2 | N/A | Minnesota |\n| Shabazz Muhammad | 15 | 6 | 3 | 1 | 2-4 | 50% | 0-1 | 0% | 2-2 | 100% | 0 | 2 | 0 | 1 | 2 | 1 | N/A | Minnesota |\n| Greg Smith | 15 | 5 | 2 | 0 | 2-3 | 67% | 0-0 | 0% | 1-1 | 100% | 0 | 0 | 0 | 2 | 0 | 3 | N/A | Minnesota |\n| Tayshaun Prince | 14 | 4 | 3 | 2 | 2-3 | 67% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 2 | 0 | N/A | Minnesota |\n| Damjan Rudez | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Adreian Payne | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |" + } + ] + }, + { + "id": "table_recognition_train_item_35532", + "image": "table_instructV/images/TABMWP_36666.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of boxes | Number of ice cream bars |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_62632", + "image": "table_instructV/images/TabFact_1-15211468-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| episode no | episode title | uk broadcast date | presenter | details of journey | countries visited |\n| --- | --- | --- | --- | --- | --- |\n| 1.1 | coast to coast | 1980 - 10 - 30 | ludovic kennedy | new york to los angeles | usa |\n| 1.2 | the long straight | 1980 - 11 - 06 | michael frayn | sydney to perth | australia |\n| 1.3 | deccan | 1980 - 11 - 13 | brian b thompson | bombay to cochin | india |\n| 1.4 | confessions of a trainspotter | 1980 - 11 - 27 | michael palin | london to the kyle of lochalsh | england , scotland |\n| 1.5 | zambezi express | 1980 - 12 - 04 | michael wood | cape town to victoria falls | south africa , botswana , zimbabwe - rhodesia |\n| 1.6 | three miles high | 1980 - 12 - 11 | miles kington | lima to la paz | peru , bolivia |" + } + ] + }, + { + "id": "table_recognition_train_item_63630", + "image": "table_instructV/images/TabFact_1-2582519-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| total | series | title | director | writer (s) | original airdate |\n| --- | --- | --- | --- | --- | --- |\n| 43 | 1 | catalyst | christopher hodson | david butler | 4 september 1976 |\n| 44 | 2 | the man with the magic touch | christopher hodson | terence feely | 11 september 1976 |\n| 45 | 3 | the complaint | paul annett | tony hoare | 18 september 1976 |\n| 46 | 4 | the line of duty | paddy russell | david butler | 25 september 1976 |\n| 47 | 5 | k block | bryan izzard | david butler | 2 october 1976 |\n| 48 | 6 | a way of loving | john gorrie | john gorrie | 9 october 1976 |\n| 49 | 7 | love and the chaplain | paddy russell | kathleen j smith | 16 october 1976 |\n| 50 | 8 | the mystery | bryan izzard | tony hoare | 23 october 1976 |\n| 51 | 9 | a sentence of death | bryan izzard | peter wildeblood | 30 october 1976 |\n| 52 | 10 | vacuum | paul annett | pj hammond | 6 november 1976 |\n| 53 | 11 | on trial | marek kanievska | susan pleat | 13 november 1976 |\n| 54 | 12 | visitors | peter moffatt | terence feely | 20 november 1976 |\n| 55 | 13 | transfer | christopher hodson | tony parker | 27 november 1976 |\n| 56 | 14 | someone 's got to do it | mike gibbon | mona bruce and robert james | 4 december 1976 |\n| 57 | 15 | islands in the heartline | marek kanievska | susan pleat | 11 december 1976 |\n| 58 | 16 | invasion of privacy | bill bain | david butler | 18 december 1976 |\n| 59 | 17 | silent night | phillip casson | david butler | 24 december 1976 |" + } + ] + }, + { + "id": "table_recognition_train_item_51258", + "image": "table_instructV/images/TAT-QA_d34f5a48-3d43-4dd6-88bb-9717710da038.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| | December 31, | |\n| --- | --- | --- |\n| | (in thousands) | |\n| | 2019 | 2018 |\n| Government segment: | | |\n| Billed | $11,608 | $9,100 |\n| Advanced billings | (608) | (563) |\n| | 11,000 | 8,537 |\n| Restaurant/Retail segment: | | |\n| Accounts receivable - net | 30,774 | 17,682 |\n| | $41,774 | $26,219 |" + } + ] + }, + { + "id": "table_recognition_train_item_31975", + "image": "table_instructV/images/TABMWP_13051.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| | Country | Rock |\n| --- | --- | --- |\n| 0 times a week | 3 | 7 |\n| 1-2 times a week | 2 | 5 |" + } + ] + }, + { + "id": "table_recognition_train_item_62268", + "image": "table_instructV/images/TabFact_1-179174-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| spaceport | launch complex | launcher | spacecraft | flights | years |\n| --- | --- | --- | --- | --- | --- |\n| baikonur cosmodrome , kazakhstan | site 1 | vostok (r) | vostok 1 - 6 | 6 orbital | 1961 - 1963 |\n| baikonur cosmodrome , kazakhstan | site 1 | voskhod (r) | voskhod 1 - 2 | 2 orbital | 1964 - 1965 |\n| baikonur cosmodrome , kazakhstan | site 1 , 31 | soyuz (r) | soyuz 1 - 40 | 37 orbital | 1967 - 1981 |\n| baikonur cosmodrome , kazakhstan | site 1 , 31 | soyuz (r) | soyuz - t 2 - 15 | 14 orbital | 1980 - 1986 |\n| baikonur cosmodrome , kazakhstan | site 1 | soyuz (r) | soyuz - tm 2 - 34 | 33 orbital | 1987 - 2002 |\n| baikonur cosmodrome , kazakhstan | site 1 | soyuz (r) | soyuz - tma 1 - 22 | 22 orbital | 2002 - 2011 |\n| baikonur cosmodrome , kazakhstan | site 1 | soyuz (r) | soyuz tma - m 1 - 9 | 9 orbital | 2010 - |\n| cape canaveral afs , florida , usa | lc5 | redstone | mercury 3 - 4 | 2 sub - o | 1961 - 1961 |\n| cape canaveral afs , florida , usa | lc14 | atlas | mercury 6 - 9 | 4 orbital | 1962 - 1963 |\n| cape canaveral afs , florida , usa | lc19 | titan ii | gemini 3 - 12 | 10 orbital | 1965 - 1966 |\n| cape canaveral afs , florida , usa | lc34 | saturn ib | apollo 7 | 1 orbital | 1968 - 1968 |\n| kennedy space center , florida , usa | lc39 | saturn v | apollo 8 - 17 | 10 lun / or | 1968 - 1970 |\n| kennedy space center , florida , usa | lc39 | saturn ib | skylab 2 - 4 | 3 orbital | 1973 - 1974 |\n| kennedy space center , florida , usa | lc39 | saturn ib | apollo - soyuz | 1 orbital | 1975 - 1975 |\n| kennedy space center , florida , usa | lc39 | sts 1 - 135 | space shuttle | 134 orbital | 1981 - 2011 |" + } + ] + }, + { + "id": "table_recognition_train_item_115331", + "image": "table_instructV/images/Rotowire_train_table_2008.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Knicks | New York | 100 | 20 | 23 | 25 | 32 | 29 | 51 | 10 | 44 | 71 | 47 | 9 | 37 | | | | |\n| Thunder | Oklahoma City | 92 | 19 | 26 | 22 | 25 | 10 | 47 | 13 | 40 | 86 | 23 | 23 | 23 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Knicks | | | | | | | | | | | | | | | | | | |\n| Carmelo Anthony | 38 | 31 | 10 | 3 | 12-28 | 43% | 1-2 | 50% | 6-7 | 86% | 2 | 2 | 0 | 2 | 8 | 1 | F | New York |\n| Langston Galloway | 37 | 18 | 4 | 4 | 7-15 | 47% | 3-7 | 43% | 1-2 | 50% | 3 | 1 | 0 | 0 | 4 | 2 | G | New York |\n| Lance Thomas | 25 | 17 | 5 | 1 | 8-13 | 62% | 0-0 | 0% | 1-2 | 50% | 0 | 3 | 0 | 0 | 5 | 0 | N/A | New York |\n| Tim Hardaway Jr. | 23 | 14 | 2 | 2 | 4-8 | 50% | 4-6 | 67% | 2-2 | 100% | 0 | 2 | 1 | 0 | 2 | 1 | N/A | New York |\n| Jason Smith | 32 | 11 | 11 | 6 | 5-10 | 50% | 0-0 | 0% | 1-2 | 50% | 1 | 0 | 0 | 3 | 8 | 5 | C | New York |\n| Lou Amundson | 32 | 5 | 10 | 3 | 2-8 | 25% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 4 | 4 | 6 | 5 | F | New York |\n| Jose Calderon | 27 | 4 | 3 | 8 | 2-3 | 67% | 0-1 | 0% | 0-0 | 0% | 2 | 1 | 0 | 0 | 3 | 0 | G | New York |\n| Shane Larkin | 10 | 0 | 2 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 0 | N/A | New York |\n| Pablo Prigioni | 4 | 0 | 2 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | New York |\n| Quincy Acy | 4 | 0 | 1 | 0 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | New York |\n| Cole Aldrich | 7 | 0 | 1 | 1 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 0 | 2 | N/A | New York |\n| Cleanthony Early | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Travis Wear | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Russell Westbrook | 35 | 40 | 4 | 4 | 13-30 | 43% | 2-8 | 25% | 12-12 | 100% | 2 | 4 | 1 | 0 | 4 | 1 | G | Oklahoma City |\n| Reggie Jackson | 28 | 13 | 7 | 4 | 6-11 | 55% | 1-4 | 25% | 0-0 | 0% | 4 | 1 | 0 | 1 | 6 | 1 | N/A | Oklahoma City |\n| Serge Ibaka | 33 | 10 | 10 | 1 | 3-9 | 33% | 0-2 | 0% | 4-4 | 100% | 0 | 1 | 2 | 3 | 7 | 4 | F | Oklahoma City |\n| Anthony Morrow | 23 | 9 | 3 | 0 | 4-7 | 57% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 5 | N/A | Oklahoma City |\n| Dion Waiters | 20 | 8 | 1 | 0 | 3-10 | 30% | 1-3 | 33% | 1-1 | 100% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | Oklahoma City |\n| Steven Adams | 30 | 6 | 9 | 0 | 2-5 | 40% | 0-0 | 0% | 2-3 | 67% | 0 | 3 | 3 | 2 | 7 | 3 | C | Oklahoma City |\n| Kendrick Perkins | 15 | 4 | 4 | 0 | 2-6 | 33% | 0-0 | 0% | 0-2 | 0% | 0 | 1 | 0 | 0 | 4 | 0 | N/A | Oklahoma City |\n| Nick Collison | 16 | 2 | 4 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 3 | 1 | 3 | N/A | Oklahoma City |\n| Perry Jones III | 24 | 0 | 5 | 1 | 0-5 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 5 | 3 | F | Oklahoma City |\n| Andre Roberson | 15 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 0 | 0 | 2 | G | Oklahoma City |\n| Ish Smith | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Oklahoma City |\n| Grant Jerrett | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Jeremy Lamb | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |" + } + ] + }, + { + "id": "table_recognition_train_item_52564", + "image": "table_instructV/images/TabFact_2-17004899-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| opposing team | against | date | venue | status |\n| --- | --- | --- | --- | --- |\n| western australia | 12 | 10 / 05 / 1975 | perry lakes stadium , perth | tour match |\n| sydney | 14 | 13 / 05 / 1975 | sydney cricket ground , sydney | tour match |\n| new south wales | 24 | 17 / 05 / 1975 | sydney sports ground , sydney | tour match |\n| new south wales country xv | 14 | 20 / 05 / 1975 | goulburn | tour match |\n| australia | 16 | 24 / 05 / 1975 | sydney cricket ground , sydney | first test |\n| queensland | 3 | 27 / 05 / 1975 | ballymore , brisbane | tour match |\n| australia | 30 | 31 / 05 / 1975 | ballymore , brisbane | second test |\n| queensland country | 6 | 03 / 06 / 1975 | townsville sports reserve , townsville | tour match |" + } + ] + }, + { + "id": "table_recognition_train_item_64540", + "image": "table_instructV/images/TabFact_1-13312864-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| shirt no | player | birth date | weight | height |\n| --- | --- | --- | --- | --- |\n| 1 | rafael pascual | 16 march 1970 | 94 | 194 |\n| 2 | ibán pérez | 13 november 1983 | 89 | 198 |\n| 3 | josé luis lobato | 19 february 1977 | 81 | 186 |\n| 4 | manuel sevillano | 2 july 1981 | 90 | 194 |\n| 7 | guillermo hernán | 25 july 1982 | 68 | 181 |\n| 10 | miguel ángel falasca | 29 april 1973 | 92 | 195 |\n| 11 | javier subiela | 22 march 1984 | 88 | 198 |\n| 12 | guillermo falasca | 24 october 1977 | 104 | 200 |\n| 14 | josé luis moltó | 29 june 1975 | 95 | 207 |\n| 16 | julián garcía - torres | 8 november 1980 | 93 | 202 |\n| 17 | enrique de la fuente | 11 august 1975 | 95 | 195 |" + } + ] + }, + { + "id": "table_recognition_train_item_62346", + "image": "table_instructV/images/TabFact_1-20967430-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| ep | season | title | directed by | written by | original air date | prod code |\n| --- | --- | --- | --- | --- | --- | --- |\n| 30 | 1 | the thief | noam pitlik | jeffrey ferro & fredric weiss | september 26 , 1986 | 5a03 |\n| 31 | 2 | grandma | noam pitlik | frank dungan & jeff stein & tony sheehan | october 03 , 1986 | 5a04 |\n| 32 | 3 | debut | noam pitlik | fredric weiss & jeffrey ferro | october 17 , 1986 | 5a05 |\n| 33 | 4 | kevin 's date | noam pitlik | tony sheehan | october 24 , 1986 | 5a07 |\n| 34 | 5 | halloween | noam pitlik | jeffrey ferro & fredric weiss | october 31 , 1986 | 5a08 |\n| 35 | 6 | deportation : part 1 | noam pitlik | frank dungan & jeff stein & tony sheehan | november 07 , 1986 | 5a01 |\n| 36 | 7 | deportation : part 2 | noam pitlik | frank dungan & jeff stein & tony sheehan | november 14 , 1986 | 5a02 |\n| 37 | 8 | reunion | noam pitlik | frank dungan & jeff stein | november 21 , 1986 | 5a10 |\n| 38 | 9 | the spelling bee | noam pitlik | fredric weiss & jeffrey ferro | december 05 , 1986 | 5a11 |\n| 39 | 10 | pills | noam pitlik | gene braunstein & bob perlow | december 12 , 1986 | 5a09 |\n| 40 | 11 | the ticket | noam pitlik | tony sheehan | january 30 , 1987 | 5a12 |\n| 41 | 12 | college bound | noam pitlik | jeffrey ferro & fredric weiss | january 09 , 1987 | 5a13 |\n| 42 | 13 | inky | noam pitlik | frank dungan & jeff stein | january 16 , 1987 | 5a14 |\n| 43 | 14 | jobless | noam pitlik | frank dungan & jeff stein & tony sheehan | january 23 , 1987 | 5a15 |\n| 44 | 15 | the crush | noam pitlik | fredric weiss & jeffrey ferro | february 06 , 1987 | 5a16 |\n| 46 | 17 | the cadet | noam pitlik | jeffrey ferro & fredric weiss | february 20 , 1987 | 5a18 |\n| 47 | 18 | kevin 's older woman | noam pitlik | frank dungan & jeff stein & tony sheehan | february 27 , 1987 | 5a19 |\n| 48 | 19 | baby | noam pitlik | lisa albert | march 06 , 1987 | 5a06 |\n| 49 | 20 | separation | noam pitlik | frank dungan & jeff stein | may 01 , 1987 | 5a21 |\n| 50 | 21 | the mogul | noam pitlik | frank dungan & jeff stein & tony sheehan | may 08 , 1987 | 5a22 |" + } + ] + }, + { + "id": "table_recognition_train_item_64120", + "image": "table_instructV/images/TabFact_1-23777640-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| administrative district | ds divisions | gn divisions | total area (km 2 ) | land area (km 2 ) | sri lankan tamil | sri lankan moors | sinhalese | indian tamil | other | total | population density ( / km 2 ) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| jaffna | 15 | 435 | 1025 | 929 | 577246 | 2139 | 3366 | 499 | 128 | 583378 | 569 |\n| kilinochchi | 4 | 95 | 1279 | 1205 | 109528 | 678 | 962 | 1682 | 25 | 112875 | 88 |\n| mannar | 5 | 153 | 1996 | 1880 | 80568 | 16087 | 1961 | 394 | 41 | 99051 | 50 |\n| mullaitivu | 5 | 127 | 2617 | 2415 | 79081 | 1760 | 8851 | 2182 | 73 | 91947 | 35 |\n| vavuniya | 4 | 102 | 1967 | 1861 | 141269 | 11700 | 17191 | 1292 | 59 | 171511 | 87 |" + } + ] + }, + { + "id": "table_recognition_train_item_104273", + "image": "table_instructV/images/ToTTo_train_table_17976.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| England | v | Australia |\n| --- | --- | --- |\n| 488 R.W. Barber 185 J.H. | | 221 R.M. Cowper 60 G. Thomas 51 D.J. Brown 5/63 J.M. Parks (wk) 3 Ct & 2 St |\n| | | 174 (following on) K.D. Walters 35 F.J. Titmus 4/40 D.A. Allen 4/47 M.J.K. Smith (c) 3 Ct |" + } + ] + }, + { + "id": "table_recognition_train_item_33195", + "image": "table_instructV/images/TABMWP_26825.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 10 | 20 |\n| 11 | 10 |\n| 12 | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_32635", + "image": "table_instructV/images/TABMWP_20202.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Number of glasses | Number of ice cubes |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_60408", + "image": "table_instructV/images/TabFact_2-11051069-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| ceremony | award | category | nominee | outcome |\n| --- | --- | --- | --- | --- |\n| filmfare awards | 6th filmfare awards | best movie | b r chopra | nominated |\n| filmfare awards | 6th filmfare awards | best director | b r chopra | nominated |\n| filmfare awards | 6th filmfare awards | best actress | vyjayanthimala | won |\n| filmfare awards | 6th filmfare awards | best supporting actress | leela chitnis | nominated |\n| filmfare awards | 6th filmfare awards | best story | mukhram sharma | won |\n| filmfare awards | 6th filmfare awards | best lyricist | sahir ludhianvi | nominated |" + } + ] + }, + { + "id": "table_recognition_train_item_51496", + "image": "table_instructV/images/TAT-QA_9d4c417b-5a33-459c-9600-5c3c52036930.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| (IN MILLIONS, EXCEPT PER SHARE AMOUNTS) | Year Ended December 31, | | | | |\n| --- | --- | --- | --- | --- | --- |\n| | 2019(1) | 2018(2) | 2017(3) | 2016(4) | 2015(5) |\n| Statement of Operations Data: | | | | | |\n| Revenues | $6,498 | $6,515 | $6,572 | $6,309 | $6,172 |\n| Depreciation and amortization(6) | 756 | 675 | 640 | 603 | 574 |\n| Operating income/(loss) | (93) | (475) | 1,214 | 1,130 | 1,098 |\n| Interest expense | 397 | 394 | 374 | 333 | 311 |\n| Income/(loss) from continuing operations | (403) | (700) | 440 | 507 | 575 |\n| Income/(loss) from continuing operations per common share (basic) | (1.17) | (2.00) | 1.20 | 1.40 | 1.55 |\n| Income/(loss) from continuing operations per common share (diluted) | (1.17) | (2.00) | 1.20 | 1.39 | 1.54 |\n| Cash dividends declared per common share | 1.11 | 1.39 | 1.33 | 1.21 | 1.09 |\n| | December 31, | | | | |\n| (IN MILLIONS) | 2019 | 2018 | 2017 | 2016 | 2015 |\n| Balance Sheet Data: | | | | | |\n| Total assets | $14,319 | $15,179 | $16,866 | $15,730 | $15,303 |\n| Long-term debt including finance leases | 8,309 | 8,387 | 8,441 | 7,926 | 7,338 |" + } + ] + }, + { + "id": "table_recognition_train_item_65162", + "image": "table_instructV/images/TabFact_2-16045118-19.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| year | actor | award | motion picture | result |\n| --- | --- | --- | --- | --- |\n| 1959 | sidney poitier | best actor - drama | the defiant ones | nominated |\n| 1960 | sidney poitier | best actor - musical or comedy | porgy & bess | nominated |\n| 1962 | sidney poitier | best actor - drama | a raisin in the sun | nominated |\n| 1964 | sidney poitier | best actor - drama | lilies of the field | won |\n| 1966 | sidney poitier | best actor - drama | a patch of blue | nominated |\n| 1968 | sidney poitier | best actor - drama | in the heat of the night | nominated |\n| 1969 | ossie davis | best supporting actor | the scalphunters | nominated |\n| 1971 | james earl jones | new star - actor | the great white hope | won |\n| 1971 | james earl jones | best actor - drama | the great white hope | nominated |\n| 1975 | james earl jones | best actor - musical or comedy | claudine | nominated |\n| 1982 | howard rollins | new star | ragtime | nominated |\n| 1982 | howard rollins | best supporting actor | ragtime | nominated |\n| 1983 | louis gossett , jr | best supporting actor | an officer and a gentleman | won |\n| 1983 | eddie murphy | new star - actor | 48 hrs | nominated |\n| 1984 | eddie murphy | best actor - musical or comedy | trading places | nominated |\n| 1985 | eddie murphy | best actor - musical or comedy | beverly hills cop | nominated |\n| 1985 | adolph caesar | best supporting actor | a soldier 's story | nominated |\n| 1987 | dexter gordon | best actor - drama | round midnight | nominated |\n| 1988 | denzel washington | best actor - drama | cry freedom | nominated |\n| 1988 | morgan freeman | best supporting actor | street smart | nominated |\n| 1989 | forest whitaker | best actor - drama | bird | nominated |\n| 1990 | morgan freeman | best actor - musical or comedy | driving miss daisy | won |\n| 1990 | denzel washington | best supporting actor | glory | won |\n| 1993 | denzel washington | best actor - drama | malcolm x | nominated |\n| 1995 | morgan freeman | best actor - drama | the shawshank redemption | nominated |\n| 1995 | samuel l jackson | best supporting actor | pulp fiction | nominated |\n| 1997 | samuel l jackson | best supporting actor | a time to kill | nominated |\n| 1997 | cuba gooding , jr | best supporting actor | jerry maguire | nominated |\n| 1997 | eddie murphy | best actor - musical or comedy | the nutty professor | nominated |\n| 1998 | samuel l jackson | best actor - musical or comedy | jackie brown | nominated |\n| 1998 | djimon hounsou | best actor - drama | amistad | nominated |\n| 2000 | denzel washington | best actor - drama | the hurricane | won |\n| 2000 | michael clarke duncan | best supporting actor | the green mile | nominated |\n| 2002 | will smith | best actor - drama | ali | nominated |\n| 2002 | denzel washington | best actor - drama | training day | nominated |\n| 2005 | morgan freeman | best supporting actor | million dollar baby | nominated |\n| 2005 | jamie foxx | best supporting actor | collateral | nominated |\n| 2005 | jamie foxx | best actor - musical or comedy | ray | won |\n| 2005 | don cheadle | best actor - drama | hotel rwanda | nominated |\n| 2006 | terrence howard | best actor - drama | hustle & flow | nominated |\n| 2007 | eddie murphy | best supporting actor | dreamgirls | won |\n| 2007 | chiwetel ejiofor | best actor - musical or comedy | kinky boots | nominated |\n| 2007 | will smith | best actor - drama | the pursuit of happyness | nominated |\n| 2007 | forest whitaker | best actor - drama | the last king of scotland | won |\n| 2008 | denzel washington | best actor - drama | american gangster | nominated |\n| 2010 | morgan freeman | best actor - drama | invictus | nominated |\n| 2013 | denzel washington | best actor - drama | flight | nominated |" + } + ] + }, + { + "id": "table_recognition_train_item_49780", + "image": "table_instructV/images/TAT-QA_ca961050-7bb3-42dd-a34d-89217a6d8fcf.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| | 2019 | 2018 | 2017 |\n| --- | --- | --- | --- |\n| Gross amount of accumulated depreciation at beginning | $(5,724.7) | $(5,181.2) | $(4,548.1) |\n| Additions during period: | | | |\n| Depreciation | (768.4) | (751.4) | (718.7) |\n| Other | — | — | — |\n| Total additions | (768.4) | (751.4) | (718.7) |\n| Deductions during period: | | | |\n| Amount of accumulated depreciation for assets sold or disposed | 121.4 | 129.3 | 100.7 |\n| Other (7) | (10.5) | 78.6 | (15.1) |\n| Total deductions | 110.9 | 207.9 | 85.6 |\n| Balance at end | $(6,382.2) | $(5,724.7) | $(5,181.2) |" + } + ] + }, + { + "id": "table_recognition_train_item_32531", + "image": "table_instructV/images/TABMWP_18945.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of trees | Number of sparrows |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_51640", + "image": "table_instructV/images/TAT-QA_981b4acb-12eb-4729-a297-96a0f0cefdba.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| | Fiscal year-end | |\n| --- | --- | --- |\n| | 2019 | 2018 |\n| Non-current deferred income tax assets | $87,011 | $64,858 |\n| Non-current deferred income tax liabilities | (27,785) | (26,339) |\n| Net deferred tax assets | $59,226 | $38,519 |" + } + ] + }, + { + "id": "table_recognition_train_item_104988", + "image": "table_instructV/images/ToTTo_train_table_20971.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | 10–5 | Nick Rossborough | TKO (arm injury) | Bellator 126 | September 26, 2014 | 1 | 5:00 | Phoenix, Arizona, United States | Martinez tore his left bicep in round one. |\n| Loss | 10–4 | Lavar Johnson | TKO (punches) | Bellator 111 | March 7, 2014 | 1 | 4:22 | Thackerville, Oklahoma, United States | Bellator Season 10 Heavyweight Tournament Quarterfinal |\n| Loss | 10–3 | Vitaly Minakov | TKO (punches) | Bellator 97 | July 31, 2013 | 3 | 4:02 | Rio Rancho, New Mexico, United States | Bellator 2013 Summer Series Heavyweight Tournament Final |\n| Win | 10–2 | Rich Hale | KO (punches) | Bellator 96 | June 19, 2013 | 1 | 2:19 | Thackerville, Oklahoma, United States | Bellator 2013 Summer Series Heavyweight Tournament Semifinal |\n| Win | 9–2 | Travis Wiuff | KO (punches) | Bellator 93 | March 21, 2013 | 1 | 0:18 | Lewiston, Maine, United States | |\n| Win | 8–2 | Manny Lara | Decision (majority) | Bellator 75 | October 5, 2012 | 3 | 5:00 | Hammond, Indiana, United States | |\n| Loss | 7–2 | Mike Wessel | Decision (split) | Bellator 73 | August 24, 2012 | 3 | 5:00 | Tunica Resorts, Mississippi, United States | |\n| Win | 7–1 | Cody Griffin | Decision (unanimous) | ProElite 3 - Da Spyder vs. Minowaman | January 21, 2012 | 3 | 5:00 | Honolulu, Hawaii, United States | ProElite heavyweight tournament semifinal |\n| Win | 6–1 | Mark Ellis | Decision (unanimous) | ProElite 2 - Big Guns | November 5, 2011 | 3 | 5:00 | Moline, Illinois, United States | ProElite heavyweight tournament quarterfinal |\n| Win | 5–1 | Brandon Endriss | Technical submission (guillotine choke) | ROF 41 - Bragging Rights | August 20, 2011 | 1 | 3:45 | Broomfield, Colorado, United States | |\n| Win | 4–1 | Richard White | Submission (punches) | Fight To Win - Outlaws | May 14, 2011 | 1 | 2:24 | Denver, Colorado, United States | |\n| Win | 3–1 | Jeremiah Martinez | TKO (punches) | Fight To Win - Mortal Combat | February 25, 2011 | 1 | 0:51 | Denver, Colorado, United States | |\n| Loss | 2–1 | Derrick Lewis | TKO (punches) | Fight to Win/King of Champions - Worlds Collide | July 24, 2010 | 2 | 1:03 | Denver, Colorado, United States | |\n| Win | 2–0 | Justyn Riley | KO (punch) | Fight To Win - War | April 17, 2010 | 1 | 0:26 | Denver, Colorado, United States | |\n| Win | 1–0 | Vernon Lewis | TKO (punches) | Fight To Win - Phenoms | January 30, 2010 | 2 | 3:22 | Denver, Colorado, United States | |" + } + ] + }, + { + "id": "table_recognition_train_item_107620", + "image": "table_instructV/images/ToTTo_train_table_32007.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Date | Stage | Home Team | score | Away Team | Venue | agg | att | rcts | Note | ref |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1st Round |\n| YC R1 1st leg | - | Huddersfield | 23-19 | Hull | Fartown | | | | | |\n| YC R1 1st leg | 21-10-1944 | Oldham | 5-18 | Wigan | Watersheddings | | | | | |\n| YC R1 1st leg | 21-10-1944 | St. Helens | 8-22 | Barrow | Knowsley Road | | | | | |\n| YC R1 2nd leg | 28-10-1944 | Hull | 21-2 | Huddersfield | Boulevard | 40-25 | | | | |\n| YC R1 2nd leg | 28-10-1944 | Wigan | 39-2 | Oldham | Central Park | 57-7 | | | | |\n| YC R1 2nd leg | 28-10-1644 | Barrow | 21-8 | St. Helens | Craven Park | 43-16 | | | | |\n| 2nd Round |\n| YC R2 1st leg | 04-11-1944 | Dewsbury | 0-0 | Hull | Crown Flatt old ground | | | | | |\n| YC R2 1st leg | 04-11-1944 | Wigan | 9-5 | Barrow | Central Park | | | | | |\n| YC R2 2nd leg | 11-11-1944 | Hull | 5-7 | Dewsbury | Boulevard | 5-7 | | | | |\n| YC R2 2nd leg | 11-11-1944 | Barrow | 5-2 | Wigan | Craven Park | 10-11 | | | | |\n| Semi-Final |\n| YC SF 1st leg | 18-11-1944 | Wigan | 5-6 | Halifax | Central Park | | | | | |\n| YC SF 2nd leg | 25-11-1944 | Halifax | 9-7 | Wigan | Thrum Hall | 15-12 | | | | |\n| Final |\n| YC F 1st leg | -?? | Hunslet | 3-12 | Halifax | Parkside | | 11,000 | 744 | | |\n| YC F 2nd leg | -?? | Halifax | 0-2 | Hunslet | Thrum Hall | 14-3 | 9,800 | 745 | | |\n| Halifax are winners of Yorkshire Cup |" + } + ] + }, + { + "id": "table_recognition_train_item_33838", + "image": "table_instructV/images/TABMWP_33336.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Number of blocks | Number of traffic cones |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_100859", + "image": "table_instructV/images/ToTTo_train_table_3621.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Venue | Location | Sports | Capacity | Ref. |\n| --- | --- | --- | --- | --- |\n| Canada Hockey Place | Vancouver | Ice hockey (final) | 18,630 | |\n| Cypress Mountain | West Vancouver | Freestyle skiing, snowboarding | 8,000 | |\n| Pacific Coliseum | Vancouver | Figure skating, short track speed skating | 14,239 | |\n| Richmond Olympic Oval | Richmond | Speed skating | 8,000 | |\n| UBC Doug Mitchell Thunderbird Sports Centre | University Endowment Lands (UBC) | Ice hockey | 7,200 | |\n| Vancouver Olympic/Paralympic Centre | Vancouver | Curling | 6,000 | |\n| Whistler Creekside | Whistler | Alpine skiing | 7,600 | |\n| Whistler Olympic Park | Whistler | Biathlon, cross-country skiing, Nordic combined, ski jumping | 6,000 | |\n| Whistler Sliding Centre | Whistler | Bobsleigh, luge, skeleton | 12,000 | |" + } + ] + }, + { + "id": "table_recognition_train_item_104680", + "image": "table_instructV/images/ToTTo_train_table_19715.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | 10–3 | George Roop | TKO (punches) | UFC 160 | May 25, 2013 | 2 | 1:43 | Las Vegas, Nevada, United States | Bowles tested positive for elevated testosterone levels. |\n| Loss | 10–2 | Urijah Faber | Submission (guillotine choke) | UFC 139 | November 19, 2011 | 2 | 1:27 | San Jose, California, United States | UFC Bantamweight title eliminator. |\n| Win | 10–1 | Takeya Mizugaki | Decision (unanimous) | UFC 132 | July 2, 2011 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 9–1 | Damacio Page | Technical Submission (guillotine choke) | UFC Live: Sanchez vs. Kampmann | March 3, 2011 | 1 | 3:30 | Louisville, Kentucky, United States | Submission of the Night. |\n| Loss | 8–1 | Dominick Cruz | TKO (doctor stoppage) | WEC 47 | March 6, 2010 | 2 | 5:00 | Columbus, Ohio, United States | Lost the WEC Bantamweight Championship. Doctor stoppage due to broken hand. |\n| Win | 8–0 | Miguel Torres | KO (punches) | WEC 42 | August 9, 2009 | 1 | 3:57 | Las Vegas, Nevada, United States | Won the WEC Bantamweight Championship. Knockout of the Night. |\n| Win | 7–0 | Will Ribeiro | Submission (guillotine choke) | WEC 37: Torres vs. Tapia | December 3, 2008 | 3 | 1:11 | Las Vegas, Nevada, United States | Submission of the Night. |\n| Win | 6–0 | Damacio Page | Submission (guillotine choke) | WEC 35: Condit vs. Miura | August 3, 2008 | 1 | 3:30 | Las Vegas, Nevada, United States | Submission of the Night. |\n| Win | 5–0 | Marcos Galvão | KO (punch) | WEC 31 | December 12, 2007 | 2 | 2:09 | Las Vegas, Nevada, United States | |\n| Win | 4–0 | Charlie Valencia | Submission (rear-naked choke) | WEC 28 | June 3, 2007 | 2 | 2:33 | Las Vegas, Nevada, United States | |\n| Win | 3–0 | Shane Weinischke | Submission (rear-naked choke) | ISCF: Invasion | February 9, 2007 | 1 | 1:38 | Atlanta, Georgia, United States | |\n| Win | 2–0 | Charles Nutt | TKO (punches) | Wild Bill's Fight Night 4 | September 8, 2006 | 1 | 4:28 | Duluth, Georgia, United States | |\n| Win | 1–0 | Tim Honeycutt | Submission (rear-naked choke) | Wild Bill's Fight Night 2 | May 12, 2006 | 3 | 4:55 | Duluth, Georgia, United States | |" + } + ] + }, + { + "id": "table_recognition_train_item_115215", + "image": "table_instructV/images/Rotowire_train_table_1950.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nets | Brooklyn | 120 | 31 | 23 | 29 | 37 | 26 | 39 | 15 | 53 | 81 | 48 | 8 | 22 | | | | |\n| Hornets | Charlotte | 118 | 40 | 23 | 25 | 30 | 23 | 44 | 11 | 47 | 88 | 31 | 17 | 14 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Nets | | | | | | | | | | | | | | | | | | |\n| Bojan Bogdanovic | 27 | 26 | 4 | 2 | 7-11 | 64% | 4-7 | 57% | 8-9 | 89% | 0 | 0 | 0 | 1 | 3 | 1 | N/A | Brooklyn |\n| Sean Kilpatrick | 32 | 23 | 5 | 4 | 9-15 | 60% | 4-7 | 57% | 1-2 | 50% | 0 | 2 | 0 | 0 | 5 | 3 | G | Brooklyn |\n| Brook Lopez | 33 | 21 | 5 | 5 | 8-13 | 62% | 1-3 | 33% | 4-4 | 100% | 0 | 2 | 3 | 2 | 3 | 1 | C | Brooklyn |\n| Jeremy Lin | 22 | 17 | 0 | 4 | 6-11 | 55% | 2-4 | 50% | 3-4 | 75% | 2 | 3 | 0 | 0 | 0 | 2 | G | Brooklyn |\n| Rondae Hollis-Jefferson | 26 | 10 | 4 | 1 | 1-6 | 17% | 0-0 | 0% | 8-10 | 80% | 1 | 0 | 2 | 1 | 3 | 4 | N/A | Brooklyn |\n| Isaiah Whitehead | 16 | 9 | 2 | 3 | 4-7 | 57% | 1-2 | 50% | 0-0 | 0% | 1 | 4 | 1 | 0 | 2 | 4 | N/A | Brooklyn |\n| Caris LeVert | 15 | 5 | 1 | 1 | 2-3 | 67% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 2 | N/A | Brooklyn |\n| Randy Foye | 21 | 3 | 1 | 2 | 1-2 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Brooklyn |\n| Trevor Booker | 22 | 3 | 12 | 3 | 1-3 | 33% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 1 | 0 | 12 | 2 | F | Brooklyn |\n| Justin Hamilton | 15 | 3 | 3 | 1 | 1-2 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 1 | 0 | 3 | 0 | N/A | Brooklyn |\n| Joe Harris | 12 | 0 | 2 | 0 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | F | Brooklyn |\n| Anthony Bennett | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |\n| Luis Scola | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Nicolas Batum | 37 | 24 | 5 | 5 | 7-16 | 44% | 2-6 | 33% | 8-8 | 100% | 3 | 1 | 0 | 0 | 5 | 2 | G | Charlotte |\n| Jeremy Lamb | 22 | 17 | 4 | 1 | 7-14 | 50% | 2-6 | 33% | 1-3 | 33% | 0 | 0 | 1 | 1 | 3 | 3 | N/A | Charlotte |\n| Cody Zeller | 29 | 15 | 9 | 2 | 7-11 | 64% | 0-0 | 0% | 1-2 | 50% | 1 | 0 | 0 | 3 | 6 | 5 | C | Charlotte |\n| Kemba Walker | 35 | 15 | 3 | 6 | 6-17 | 35% | 1-5 | 20% | 2-2 | 100% | 2 | 3 | 0 | 0 | 3 | 3 | G | Charlotte |\n| Frank Kaminsky | 20 | 13 | 5 | 0 | 5-9 | 56% | 1-3 | 33% | 2-2 | 100% | 0 | 2 | 0 | 2 | 3 | 4 | N/A | Charlotte |\n| Michael Kidd-Gilchrist | 35 | 12 | 10 | 2 | 5-10 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 2 | 2 | 8 | 1 | F | Charlotte |\n| Marvin Williams | 28 | 9 | 4 | 1 | 3-8 | 38% | 1-3 | 33% | 2-2 | 100% | 3 | 2 | 0 | 2 | 2 | 1 | F | Charlotte |\n| Ramon Sessions | 15 | 9 | 0 | 4 | 2-6 | 33% | 1-3 | 33% | 4-4 | 100% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Charlotte |\n| Roy Hibbert | 19 | 4 | 4 | 2 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 2 | 2 | 0 | 2 | 2 | 4 | N/A | Charlotte |\n| Marco Belinelli | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Spencer Hawes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Treveon Graham | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Brian Roberts | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |" + } + ] + }, + { + "id": "table_recognition_train_item_112237", + "image": "table_instructV/images/Rotowire_train_table_461.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Warriors | Golden State | 112 | 20 | 32 | 35 | 25 | 33 | 43 | 15 | 54 | 91 | 48 | 70 | 9 | | | | |\n| Spurs | San Antonio | 101 | 15 | 25 | 29 | 32 | 28 | 32 | 12 | 49 | 70 | 44 | 65 | 13 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 36 | 27 | 5 | 9 | 11-19 | 58% | 3-7 | 43% | 2-2 | 100% | 2 | 3 | 0 | 0 | 5 | 2 | G | Golden State |\n| Harrison Barnes | 33 | 21 | 8 | 1 | 8-13 | 62% | 3-7 | 43% | 2-2 | 100% | 0 | 3 | 0 | 1 | 7 | 3 | F | Golden State |\n| Draymond Green | 34 | 18 | 6 | 7 | 7-12 | 58% | 2-3 | 67% | 2-2 | 100% | 1 | 4 | 0 | 0 | 6 | 2 | F | Golden State |\n| Klay Thompson | 35 | 14 | 3 | 6 | 5-13 | 39% | 2-5 | 40% | 2-2 | 100% | 1 | 1 | 0 | 2 | 1 | 4 | G | Golden State |\n| Shaun Livingston | 19 | 6 | 1 | 5 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 1 | N/A | Golden State |\n| Marreese Speights | 10 | 6 | 1 | 1 | 2-4 | 50% | 0-1 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Golden State |\n| Andrew Bogut | 22 | 6 | 11 | 3 | 3-3 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 2 | 2 | 9 | 4 | C | Golden State |\n| Festus Ezeli | 8 | 4 | 3 | 0 | 2-5 | 40% | 0-0 | 0% | 0-1 | 0% | 0 | 0 | 0 | 1 | 2 | 0 | N/A | Golden State |\n| Andre Iguodala | 21 | 4 | 2 | 1 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 0 | 2 | 0 | N/A | Golden State |\n| Brandon Rush | 7 | 3 | 1 | 0 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 3 | N/A | Golden State |\n| Leandro Barbosa | 15 | 3 | 1 | 0 | 1-4 | 25% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 0 | 1 | 0 | 3 | N/A | Golden State |\n| Ian Clark | 1 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Golden State |\n| Anderson Varejao | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Kawhi Leonard | 35 | 23 | 3 | 2 | 8-12 | 67% | 2-3 | 67% | 5-8 | 63% | 1 | 2 | 0 | 1 | 2 | 0 | F | San Antonio |\n| LaMarcus Aldridge | 29 | 11 | 3 | 2 | 5-16 | 31% | 0-0 | 0% | 1-1 | 100% | 2 | 2 | 0 | 2 | 1 | 2 | F | San Antonio |\n| David West | 24 | 11 | 0 | 7 | 4-5 | 80% | 0-0 | 0% | 3-4 | 75% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | San Antonio |\n| Tony Parker | 27 | 10 | 2 | 3 | 4-10 | 40% | 0-0 | 0% | 2-4 | 50% | 0 | 2 | 0 | 0 | 2 | 1 | G | San Antonio |\n| Kevin Martin | 15 | 10 | 4 | 4 | 3-5 | 60% | 1-2 | 50% | 3-3 | 100% | 1 | 0 | 0 | 0 | 4 | 0 | N/A | San Antonio |\n| Danny Green | 29 | 9 | 5 | 1 | 3-7 | 43% | 3-6 | 50% | 0-0 | 0% | 4 | 0 | 2 | 1 | 4 | 2 | G | San Antonio |\n| Kyle Anderson | 20 | 8 | 11 | 3 | 3-4 | 75% | 0-0 | 0% | 2-3 | 67% | 0 | 0 | 0 | 0 | 11 | 2 | N/A | San Antonio |\n| Patty Mills | 18 | 7 | 0 | 3 | 3-8 | 38% | 1-4 | 25% | 0-0 | 0% | 1 | 1 | 0 | 0 | 0 | 1 | N/A | San Antonio |\n| Manu Ginobili | 20 | 6 | 1 | 2 | 3-6 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 3 | 0 | 0 | 1 | 1 | N/A | San Antonio |\n| Tim Duncan | 19 | 4 | 3 | 1 | 2-6 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 2 | 0 | C | San Antonio |\n| Matt Bonner | 5 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 2 | N/A | San Antonio |\n| Andre Miller | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Jonathon Simmons | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |" + } + ] + }, + { + "id": "table_recognition_train_item_101289", + "image": "table_instructV/images/ToTTo_train_table_5431.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | 35–19–2 | Cezar Ferreira | Decision (split) | UFC Fight Night: Poirier vs. Pettis | November 11, 2017 | 3 | 5:00 | Norfolk, Virginia, United States | |\n| Loss | 35–18–2 | Vitor Belfort | Decision (unanimous) | UFC 212 | June 3, 2017 | 3 | 5:00 | Rio de Janeiro, Brazil | |\n| Loss | 35–17–2 | Sam Alvey | Decision (unanimous) | UFC on Fox: Shevchenko vs. Peña | January 28, 2017 | 3 | 5:00 | Denver, Colorado, United States | |\n| Win | 35–16–2 | Tamdan McCrory | KO (punch and head kick) | UFC Fight Night: Lineker vs. Dodson | October 1, 2016 | 2 | 4:44 | Portland, Oregon, United States | Performance of the Night. |\n| Loss | 34–16–2 | Thiago Santos | KO (punches) | UFC 198 | May 14, 2016 | 1 | 3:39 | Curitiba, Brazil | |\n| Win | 34–15–2 | C.B. Dollaway | KO (punch) | UFC on Fox: dos Anjos vs. Cerrone 2 | December 19, 2015 | 2 | 0:28 | Orlando, Florida, United States | |\n| Loss | 33–15–2 | Kelvin Gastelum | TKO (corner stoppage) | UFC 188 | June 13, 2015 | 2 | 5:00 | Mexico City, Mexico | |\n| Loss | 33–14–2 | Brad Tavares | Decision (unanimous) | UFC 182 | January 3, 2015 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 33–13–2 | James Te-Huna | Submission (armbar) | UFC Fight Night: Te Huna vs. Marquardt | June 28, 2014 | 1 | 4:34 | Auckland, New Zealand | Return to middleweight. Performance of the Night. |\n| Loss | 32–13–2 | Hector Lombard | KO (punches) | UFC 166 | October 19, 2013 | 1 | 1:48 | Houston, Texas, United States | |\n| Loss | 32–12–2 | Jake Ellenberger | KO (punches) | UFC 158 | March 16, 2013 | 1 | 3:00 | Montreal, Quebec, Canada | |\n| Loss | 32–11–2 | Tarec Saffiedine | Decision (unanimous) | Strikeforce: Marquardt vs. Saffiedine | January 12, 2013 | 5 | 5:00 | Oklahoma City, Oklahoma, United States | Lost the Strikeforce Welterweight Championship. |\n| Win | 32–10–2 | Tyron Woodley | KO (elbows and punches) | Strikeforce: Rockhold vs. Kennedy | July 14, 2012 | 4 | 1:39 | Portland, Oregon, United States | Welterweight debut. Won the vacant Strikeforce Welterweight Championship. |\n| Win | 31–10–2 | Dan Miller | Decision (unanimous) | UFC 128 | March 19, 2011 | 3 | 5:00 | Newark, New Jersey, United States | |\n| Loss | 30–10–2 | Yushin Okami | Decision (unanimous) | UFC 122 | November 13, 2010 | 3 | 5:00 | Oberhausen, Germany | UFC Middleweight Championship eliminator. |\n| Win | 30–9–2 | Rousimar Palhares | TKO (punches) | UFC Fight Night: Marquardt vs. Palhares | September 15, 2010 | 1 | 3:28 | Austin, Texas, United States | |\n| Loss | 29–9–2 | Chael Sonnen | Decision (unanimous) | UFC 109 | February 6, 2010 | 3 | 5:00 | Las Vegas, Nevada, United States | UFC Middleweight Championship eliminator. Fight of the Night. |\n| Win | 29–8–2 | Demian Maia | KO (punch) | UFC 102 | August 29, 2009 | 1 | 0:21 | Portland, Oregon, United States | Knockout of the Night. |\n| Win | 28–8–2 | Wilson Gouveia | TKO (punches and knee) | UFC 95 | February 21, 2009 | 3 | 3:10 | London, England | |\n| Win | 27–8–2 | Martin Kampmann | TKO (punches) | UFC 88 | September 6, 2008 | 1 | 1:22 | Atlanta, Georgia, United States | |\n| Loss | 26–8–2 | Thales Leites | Decision (split) | UFC 85 | June 7, 2008 | 3 | 5:00 | London, England | Marquardt was deducted two points during the bout for illegal infractions. |\n| Win | 26–7–2 | Jeremy Horn | Submission (standing guillotine choke) | UFC 81 | February 2, 2008 | 2 | 1:37 | Las Vegas, Nevada, United States | |\n| Loss | 25–7–2 | Anderson Silva | TKO (punches) | UFC 73 | July 7, 2007 | 1 | 4:50 | Sacramento, California, United States | For the UFC Middleweight Championship. |\n| Win | 25–6–2 | Dean Lister | Decision (unanimous) | UFC Fight Night: Evans vs. Salmon | January 25, 2007 | 3 | 5:00 | Hollywood, Florida, United States | |\n| Win | 24–6–2 | Crafton Wallace | Submission (rear-naked choke) | Ortiz vs. Shamrock 3: The Final Chapter | October 10, 2006 | 2 | 1:14 | Hollywood, Florida, United States | |\n| Win | 23–6–2 | Joe Doerksen | Decision (unanimous) | UFC 58 | March 4, 2006 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 22–6–2 | Ivan Salaverry | Decision (unanimous) | UFC Ultimate Fight Night | August 6, 2005 | 3 | 5:00 | Las Vegas, Nevada, United States | Marquardt tested positive for nandrolone. |\n| Win | 21–6–2 | Izuru Takeuchi | Submission (rear-naked choke) | Pancrase: Spiral 4 | May 1, 2005 | 3 | 2:19 | Yokohama, Japan | Defended the Pancrase Middleweight Championship. Later vacated title. |\n| Win | 20–6–2 | Kazuo Misaki | Decision (unanimous) | Pancrase: Brave 10 | November 7, 2004 | 3 | 5:00 | Tokyo, Japan | Won the Pancrase Middleweight Championship. |\n| Draw | 19–6–2 | Eiji Ishikawa | Draw | Pancrase: Brave 6 | June 22, 2004 | 3 | 5:00 | Tokyo, Japan | |\n| Loss | 19–6–1 | Ricardo Almeida | Submission (guillotine choke) | Pancrase - Hybrid 10 | November 30, 2003 | 1 | 4:53 | Tokyo, Japan | Lost the Pancrase Middleweight Championship. |\n| Win | 19–5–1 | Yuji Hisamatsu | Decision (unanimous) | Pancrase - Hybrid 8 | October 4, 2003 | 2 | 5:00 | Osaka, Japan | |\n| Win | 18–5–1 | Steve Gomm | Submission (punches) | IFC: Global Domination | September 6, 2003 | 1 | 3:28 | Denver, Colorado, United States | |\n| Loss | 17–5–1 | Keiichiro Yamamiya | Decision (unanimous) | Pancrase - 2003 Neo-Blood Tournament Second Round | July 27, 2003 | 3 | 5:00 | Tokyo, Japan | |\n| Win | 17–4–1 | Izuru Takeuchi | KO (punches) | Pancrase - Hybrid 3 | March 8, 2003 | 1 | 1:29 | Tokyo, Japan | Defended the Pancrase Middleweight Championship. |\n| Win | 16–4–1 | Kiuma Kunioku | KO (flying knee) | Pancrase: Spirit 9 | December 21, 2002 | 3 | 4:36 | Tokyo, Japan | Won the Pancrase Middleweight Championship. |\n| Loss | 15–4–1 | Izuru Takeuchi | Decision (unanimous) | Pancrase: Spirit 7 | October 29, 2002 | 3 | 5:00 | Tokyo, Japan | |\n| Win | 15–3–1 | Seiki Ryo | Submission (armbar) | Pancrase: 2002 Neo-Blood Tournament Second Round | July 28, 2002 | 1 | 1:37 | Tokyo, Japan | |\n| Win | 14–3–1 | Kazuo Misaki | TKO (dislocated elbow) | Pancrase: Spirit 3 | March 25, 2002 | 1 | 0:29 | Tokyo, Japan | |\n| Loss | 13–3–1 | Kiuma Kunioku | Decision (majority) | Pancrase: Proof 7 | December 1, 2001 | 3 | 5:00 | Yokohama, Japan | Lost the Pancrase Middleweight Championship. |\n| Win | 13–2–1 | Yuji Hoshino | Submission (triangle choke) | Pancrase: Proof 6 | October 30, 2001 | 3 | 2:13 | Tokyo, Japan | Defended the Pancrase Middleweight Championship. |\n| Loss | 12–2–1 | Gil Castillo | Decision (unanimous) | IFC WC 14 | July 18, 2001 | 5 | 5:00 | Friant, California, United States | For the IFC World Welterweight Championship. |\n| Win | 12–1–1 | Masaya Kojima | Submission (armbar) | Pancrase: Proof 3 | May 13, 2001 | 1 | 1:45 | Tokyo, Japan | |\n| Win | 11–1–1 | Hikaru Sato | Submission (rear-naked choke) | Pancrase: Proof 2 | March 31, 2001 | 1 | 1:53 | Osaka, Japan | |\n| Draw | 10–1–1 | Kiuma Kunioku | Draw | Pancrase: Trans 7 | December 4, 2000 | 1 | 20:00 | Tokyo, Japan | Defended the Pancrase Middleweight Championship. |\n| Win | 10–1 | Shonie Carter | Decision (unanimous) | Pancrase: 2000 Anniversary Show | September 24, 2000 | 2 | 3:00 | Yokohama, Japan | Won the Pancrase Middleweight Championship. |\n| Win | 9–1 | Kiuma Kunioku | Decision (unanimous) | Pancrase: 2000 Anniversary Show | September 24, 2000 | 1 | 10:00 | Yokohama, Japan | King of Pancrase Middleweight Tournament Semifinal. |\n| Win | 8–1 | Daiju Takase | KO (knee) | Pancrase: Trans 4 | June 26, 2000 | 2 | 1:30 | Tokyo, Japan | |\n| Win | 7–1 | Anthony Washington | Submission (punches) | Ring Of Fire 1 | March 18, 2000 | 1 | 3:01 | Denver, Colorado, United States | Middleweight debut. Won the ROF Middleweight Championship. |\n| Loss | 6–1 | Genki Sudo | Submission (armbar) | Pancrase: Breakthrough 11 | December 18, 1999 | 1 | 13:31 | Yokohama, Japan | |\n| Win | 6–0 | David Harris | Submission (rear-naked choke) | Bas Rutten Invitational 4 | August 14, 1999 | 1 | 15:01 | Littleton, Colorado, United States | Won the BRI Lightweight Championship. |\n| Win | 5–0 | Josh Groves | Submission (triangle choke) | Bas Rutten Invitational 4 | August 14, 1999 | 1 | 1:49 | Littleton, Colorado, United States | BRI Lightweight Championship Semifinal. |\n| Win | 4–0 | Yves Edwards | Submission (heel hook) | Bas Rutten Invitational 4 | August 14, 1999 | 1 | 3:04 | Littleton, Colorado, United States | BRI Lightweight Championship Quarterfinal. |\n| Win | 3–0 | Jose Garcia | Submission (rear-naked choke) | Rumble in the Rockies | June 7, 1999 | 1 | 3:32 | Denver, Colorado, United States | Won the RITR Lightweight Championship. |\n| Win | 2–0 | Josh Medina | Submission (arm-triangle choke) | Rumble in the Rockies | June 7, 1999 | 1 | 0:27 | Denver, Colorado, United States | RITR Lightweight Championship Semifinal. |\n| Win | 1–0 | Mike Lee | Submission (rear-naked choke) | World Vale Tudo Federation - Durango | April 17, 1999 | 2 | 2:13 | Durango, Colorado, United States | Won the WVF Lightweight Championship. |" + } + ] + }, + { + "id": "table_recognition_train_item_117891", + "image": "table_instructV/images/Rotowire_train_table_3288.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Jazz | Utah | 109 | 28 | 25 | 29 | 27 | 23 | 57 | 12 | 48 | 59 | 33 | 28 | 36 | | | | |\n| Rockets | Houston | 91 | 23 | 20 | 22 | 26 | 19 | 37 | 9 | 43 | 67 | 22 | 43 | 22 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Jazz | | | | | | | | | | | | | | | | | | |\n| Gordon Hayward | 31 | 29 | 4 | 7 | 10-17 | 59% | 3-4 | 75% | 6-10 | 60% | 1 | 3 | 1 | 0 | 4 | 2 | F | Utah |\n| Rodney Hood | 33 | 20 | 1 | 2 | 8-16 | 50% | 3-8 | 38% | 1-2 | 50% | 1 | 1 | 0 | 0 | 1 | 1 | G | Utah |\n| Rudy Gobert | 36 | 19 | 22 | 2 | 8-11 | 73% | 0-0 | 0% | 3-3 | 100% | 0 | 1 | 4 | 12 | 10 | 2 | C | Utah |\n| Joe Ingles | 25 | 10 | 6 | 0 | 4-8 | 50% | 2-4 | 50% | 0-0 | 0% | 1 | 1 | 0 | 1 | 5 | 1 | N/A | Utah |\n| Derrick Favors | 29 | 10 | 8 | 4 | 5-10 | 50% | 0-1 | 0% | 0-1 | 0% | 0 | 1 | 4 | 2 | 6 | 4 | F | Utah |\n| Dante Exum | 34 | 10 | 5 | 1 | 4-12 | 33% | 2-9 | 22% | 0-0 | 0% | 0 | 2 | 1 | 2 | 3 | 1 | G | Utah |\n| Trevor Booker | 17 | 9 | 7 | 2 | 4-5 | 80% | 1-2 | 50% | 0-1 | 0% | 1 | 0 | 0 | 3 | 4 | 1 | N/A | Utah |\n| Elijah Millsap | 12 | 2 | 2 | 2 | 1-5 | 20% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 0 | 1 | 1 | 5 | N/A | Utah |\n| Jeremy Evans | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Utah |\n| Bryce Cotton | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Utah |\n| Jerrelle Benimon | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Utah |\n| Trey Burke | 22 | 0 | 2 | 3 | 0-8 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 1 | 1 | N/A | Utah |\n| Rockets | | | | | | | | | | | | | | | | | | |\n| Corey Brewer | 32 | 25 | 5 | 0 | 10-15 | 67% | 1-4 | 25% | 4-5 | 80% | 1 | 3 | 0 | 0 | 5 | 2 | N/A | Houston |\n| James Harden | 34 | 15 | 4 | 7 | 3-13 | 23% | 0-5 | 0% | 9-13 | 69% | 3 | 3 | 0 | 2 | 2 | 1 | G | Houston |\n| Donatas Motiejunas | 24 | 13 | 3 | 1 | 6-12 | 50% | 1-4 | 25% | 0-2 | 0% | 0 | 0 | 0 | 2 | 1 | 2 | C | Houston |\n| Terrence Jones | 23 | 11 | 10 | 0 | 4-9 | 44% | 1-1 | 100% | 2-2 | 100% | 2 | 1 | 0 | 2 | 8 | 1 | F | Houston |\n| Patrick Beverley | 23 | 9 | 1 | 1 | 4-8 | 50% | 1-4 | 25% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 4 | G | Houston |\n| Josh Smith | 15 | 7 | 2 | 1 | 3-8 | 38% | 1-5 | 20% | 0-0 | 0% | 0 | 0 | 1 | 0 | 2 | 1 | N/A | Houston |\n| Trevor Ariza | 31 | 4 | 3 | 1 | 1-4 | 25% | 1-3 | 33% | 1-2 | 50% | 1 | 2 | 0 | 1 | 2 | 4 | F | Houston |\n| Joey Dorsey | 16 | 4 | 4 | 0 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 4 | 4 | N/A | Houston |\n| Jason Terry | 19 | 3 | 1 | 3 | 1-4 | 25% | 1-4 | 25% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Houston |\n| Pablo Prigioni | 12 | 0 | 1 | 4 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Houston |\n| Nick Johnson | 5 | 0 | 2 | 1 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 2 | 0 | N/A | Houston |\n| KJ McDaniels | 5 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Houston |" + } + ] + }, + { + "id": "table_recognition_train_item_113139", + "image": "table_instructV/images/Rotowire_train_table_912.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Knicks | New York | 105 | 18 | 32 | 26 | 29 | 18 | 47 | 15 | 47 | 80 | 32 | 25 | 38 | | | | |\n| Warriors | Golden State | 112 | 29 | 20 | 35 | 28 | 21 | 35 | 8 | 46 | 83 | 37 | 51 | 11 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Knicks | | | | | | | | | | | | | | | | | | |\n| Derrick Rose | 35 | 28 | 1 | 4 | 9-18 | 50% | 0-1 | 0% | 10-11 | 91% | 1 | 2 | 0 | 0 | 1 | 4 | G | New York |\n| Kristaps Porzingis | 40 | 24 | 15 | 2 | 9-21 | 43% | 2-6 | 33% | 4-4 | 100% | 0 | 2 | 2 | 4 | 11 | 3 | C | New York |\n| Carmelo Anthony | 35 | 15 | 6 | 2 | 6-12 | 50% | 1-4 | 25% | 2-2 | 100% | 0 | 2 | 2 | 2 | 4 | 1 | F | New York |\n| Justin Holiday | 15 | 10 | 3 | 1 | 4-6 | 67% | 2-4 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 1 | N/A | New York |\n| Ron Baker | 23 | 9 | 5 | 1 | 3-7 | 43% | 1-3 | 33% | 2-4 | 50% | 1 | 2 | 1 | 1 | 4 | 2 | N/A | New York |\n| Willy Hernangomez | 14 | 8 | 5 | 0 | 4-5 | 80% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 0 | 2 | 3 | 2 | N/A | New York |\n| Courtney Lee | 29 | 5 | 0 | 1 | 2-5 | 40% | 1-2 | 50% | 0-0 | 0% | 3 | 1 | 0 | 0 | 0 | 4 | G | New York |\n| Mindaugas Kuzminskas | 11 | 4 | 1 | 0 | 1-2 | 50% | 0-0 | 0% | 2-4 | 50% | 0 | 0 | 1 | 1 | 0 | 0 | N/A | New York |\n| Kyle O'Quinn | 11 | 2 | 4 | 5 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 3 | 3 | N/A | New York |\n| Lance Thomas | 27 | 0 | 7 | 2 | 0-6 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 6 | 0 | F | New York |\n| Chasson Randle | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Sasha Vujacic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Marshall Plumlee | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 37 | 31 | 8 | 6 | 11-24 | 46% | 5-13 | 39% | 4-6 | 67% | 2 | 2 | 0 | 2 | 6 | 2 | G | Golden State |\n| Klay Thompson | 37 | 29 | 4 | 1 | 8-21 | 38% | 4-9 | 44% | 9-9 | 100% | 1 | 1 | 0 | 2 | 2 | 1 | G | Golden State |\n| Draymond Green | 40 | 13 | 7 | 4 | 4-9 | 44% | 1-4 | 25% | 4-4 | 100% | 2 | 0 | 1 | 1 | 6 | 3 | F | Golden State |\n| Zaza Pachulia | 18 | 10 | 1 | 2 | 5-6 | 83% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 1 | 0 | 1 | 1 | C | Golden State |\n| David West | 11 | 7 | 1 | 0 | 3-4 | 75% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 1 | 0 | 2 | N/A | Golden State |\n| Andre Iguodala | 31 | 6 | 3 | 4 | 2-5 | 40% | 2-5 | 40% | 0-0 | 0% | 2 | 1 | 0 | 1 | 2 | 1 | N/A | Golden State |\n| JaVale McGee | 8 | 5 | 4 | 0 | 2-3 | 67% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 1 | 3 | 0 | N/A | Golden State |\n| Ian Clark | 6 | 4 | 0 | 1 | 2-5 | 40% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Golden State |\n| Patrick McCaw | 16 | 4 | 2 | 0 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 1 | 1 | N/A | Golden State |\n| Matt Barnes | 19 | 3 | 3 | 2 | 1-3 | 33% | 1-3 | 33% | 0-0 | 0% | 2 | 1 | 1 | 1 | 2 | 3 | F | Golden State |\n| James Michael McAdoo | 3 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 1 | N/A | Golden State |\n| Shaun Livingston | 14 | 0 | 0 | 1 | 0-4 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 3 | N/A | Golden State |\n| Kevon Looney | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |" + } + ] + }, + { + "id": "table_recognition_train_item_55972", + "image": "table_instructV/images/TabFact_2-16194551-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| tie no | home team | score | away team | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | bristol city | 1 - 1 | kingstonian | 14787 |\n| replay | kingstonian | 0 - 1 | bristol city | 3341 |\n| 2 | southampton | 3 - 1 | sheffield wednesday | 15251 |\n| 3 | gillingham | 2 - 4 | chelsea | 10419 |\n| 4 | blackburn rovers | 0 - 0 | derby county | 18858 |\n| replay | derby county | 2 - 5 | blackburn rovers | 15203 |\n| 5 | aston villa | 1 - 2 | leicester city | 26383 |\n| 6 | bolton wanderers | 5 - 1 | scunthorpe united | 11737 |\n| 7 | crewe alexandra | 0 - 1 | stockport county | 7318 |\n| 8 | middlesbrough | 0 - 0 | wimbledon | 20625 |\n| replay | wimbledon | 3 - 1 | middlesbrough | 5991 |\n| 9 | sunderland | 1 - 0 | ipswich town | 33626 |\n| 10 | everton | 0 - 3 | tranmere rovers | 39207 |\n| 11 | wycombe wanderers | 2 - 1 | wolverhampton wanderers | 9617 |\n| 12 | manchester city | 1 - 0 | coventry city | 24637 |\n| 13 | queen 's park rangers | 0 - 6 | arsenal | 19003 |\n| 14 | manchester united | 0 - 1 | west ham united | 67029 |\n| 15 | charlton athletic | 2 - 4 | tottenham hotspur | 18101 |\n| 16 | leeds united | 0 - 2 | liverpool | 37108 |" + } + ] + }, + { + "id": "table_recognition_train_item_33333", + "image": "table_instructV/images/TABMWP_28403.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | Graphic designer | Florist |\n| --- | --- |\n| Description | Graphic designers use computer software to create visual designs that engage and inform customers. | Florists arrange flowers and plants to make decorative displays. |\n| Typical education required | Bachelor's degree in graphic design | High school diploma |\n| Median income | $50,500 per year | $27,000 per year |" + } + ] + }, + { + "id": "table_recognition_train_item_30997", + "image": "table_instructV/images/TABMWP_2947.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 11 | 6 |\n| 11 | 7 |\n| 17 | 13 |\n| 15 | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_50852", + "image": "table_instructV/images/TAT-QA_5027d461-1237-4aab-af1f-f6b9f07bd8a3.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| | Year-ended 31 March 2019 | Year-ended 31 March 2018 |\n| --- | --- | --- |\n| | $M | $M |\n| Net cash flow from operating activities | 142.9 | 147.7 |\n| Exceptional items | 3.1 | 13.0 |\n| Net capital expenditure | (22.2) | (21.1) |\n| Unlevered free cash flow | 123.8 | 139.6 |" + } + ] + }, + { + "id": "table_recognition_train_item_34022", + "image": "table_instructV/images/TABMWP_35167.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Number of necklaces | Number of pearls |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | 10 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_31970", + "image": "table_instructV/images/TABMWP_13015.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $745 | 22,700 | 3,900 |\n| $865 | 21,400 | 8,100 |\n| $985 | 20,100 | 12,300 |\n| $1,105 | 18,800 | 16,500 |\n| $1,225 | 17,500 | 20,700 |" + } + ] + }, + { + "id": "table_recognition_train_item_115325", + "image": "table_instructV/images/Rotowire_train_table_2005.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Celtics | Boston | 114 | 27 | 26 | 30 | 31 | 29 | 43 | 13 | 56 | 71 | 35 | 10 | 14 | | | | |\n| Timberwolves | Minnesota | 98 | 24 | 24 | 29 | 21 | 23 | 37 | 13 | 45 | 50 | 50 | 5 | 20 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Kelly Olynyk | 25 | 21 | 8 | 3 | 8-13 | 62% | 2-4 | 50% | 3-6 | 50% | 0 | 0 | 1 | 2 | 6 | 5 | N/A | Boston |\n| Jeff Green | 36 | 18 | 7 | 3 | 6-13 | 46% | 2-4 | 50% | 4-4 | 100% | 0 | 1 | 0 | 1 | 6 | 2 | F | Boston |\n| Tyler Zeller | 24 | 14 | 4 | 3 | 7-9 | 78% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 1 | 0 | 4 | 3 | C | Boston |\n| Jared Sullinger | 29 | 14 | 10 | 3 | 7-9 | 78% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 2 | 3 | 7 | 1 | F | Boston |\n| Avery Bradley | 32 | 14 | 5 | 7 | 6-14 | 43% | 0-3 | 0% | 2-2 | 100% | 3 | 0 | 1 | 2 | 3 | 2 | G | Boston |\n| Evan Turner | 27 | 10 | 3 | 4 | 5-9 | 56% | 0-2 | 0% | 0-0 | 0% | 1 | 2 | 1 | 0 | 3 | 1 | G | Boston |\n| Brandon Bass | 17 | 9 | 2 | 0 | 4-7 | 57% | 0-1 | 0% | 1-2 | 50% | 1 | 2 | 0 | 1 | 1 | 2 | N/A | Boston |\n| Marcus Smart | 27 | 8 | 1 | 4 | 3-6 | 50% | 2-4 | 50% | 0-0 | 0% | 1 | 3 | 0 | 1 | 0 | 3 | N/A | Boston |\n| Phil Pressey | 16 | 6 | 2 | 2 | 2-5 | 40% | 2-4 | 50% | 0-0 | 0% | 1 | 1 | 0 | 2 | 0 | 1 | N/A | Boston |\n| Gerald Wallace | 7 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 0 | N/A | Boston |\n| James Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Marcus Thornton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Shabazz Muhammad | 38 | 26 | 5 | 5 | 11-15 | 73% | 2-2 | 100% | 2-2 | 100% | 0 | 2 | 0 | 2 | 3 | 1 | G | Minnesota |\n| Chase Budinger | 28 | 19 | 4 | 0 | 8-12 | 67% | 3-5 | 60% | 0-1 | 0% | 1 | 1 | 1 | 1 | 3 | 2 | N/A | Minnesota |\n| Thaddeus Young | 30 | 13 | 2 | 6 | 6-19 | 32% | 0-1 | 0% | 1-2 | 50% | 1 | 2 | 0 | 0 | 2 | 2 | F | Minnesota |\n| Gorgui Dieng | 33 | 9 | 4 | 1 | 4-10 | 40% | 0-0 | 0% | 1-1 | 100% | 1 | 2 | 2 | 4 | 0 | 3 | C | Minnesota |\n| Mo Williams | 25 | 8 | 2 | 4 | 4-9 | 44% | 0-1 | 0% | 0-1 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Minnesota |\n| Anthony Bennett | 16 | 7 | 7 | 1 | 3-8 | 38% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 0 | 4 | 3 | 2 | N/A | Minnesota |\n| Zach LaVine | 23 | 7 | 2 | 3 | 3-7 | 43% | 1-2 | 50% | 0-0 | 0% | 3 | 3 | 0 | 1 | 1 | 1 | G | Minnesota |\n| Andrew Wiggins | 26 | 5 | 4 | 2 | 2-10 | 20% | 0-0 | 0% | 1-1 | 100% | 1 | 0 | 2 | 1 | 3 | 1 | F | Minnesota |\n| Jeff Adrien | 15 | 3 | 7 | 1 | 1-2 | 50% | 0-0 | 0% | 1-4 | 25% | 0 | 2 | 0 | 2 | 5 | 1 | N/A | Minnesota |\n| Robbie Hummel | 4 | 1 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 1-2 | 50% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Minnesota |\n| Glenn Robinson | 2 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Minnesota |\n| Kevin Martin | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Ricky Rubio | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |" + } + ] + }, + { + "id": "table_recognition_train_item_60648", + "image": "table_instructV/images/TabFact_2-16564-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| year | entrant | chassis | engine | points |\n| --- | --- | --- | --- | --- |\n| 1955 | cooper car company | cooper t40 | bristol straight - 6 | 0 |\n| 1956 | jack brabham | maserati 250f | maserati straight - 6 | 0 |\n| 1957 | cooper car company | cooper t43 | climax straight - 4 | 0 |\n| 1957 | rob walker racing team | cooper t43 | climax straight - 4 | 0 |\n| 1958 | cooper car company | cooper t45 | climax straight - 4 | 3 |\n| 1959 | cooper car company | cooper t51 | climax straight - 4 | 31 (34) |\n| 1960 | cooper car company | cooper t51 | climax straight - 4 | 43 |\n| 1960 | cooper car company | cooper t53 | climax straight - 4 | 43 |\n| 1961 | cooper car company | cooper t55 | climax straight - 4 | 4 |\n| 1961 | cooper car company | cooper t58 | climax v8 | 4 |\n| 1962 | brabham racing organisation | lotus 24 | climax v8 | 9 |\n| 1962 | brabham racing organisation | brabham bt3 | climax v8 | 9 |\n| 1963 | brabham racing organisation | lotus 25 | climax v8 | 14 |\n| 1963 | brabham racing organisation | brabham bt3 | climax v8 | 14 |\n| 1963 | brabham racing organisation | brabham bt7 | climax v8 | 14 |\n| 1964 | brabham racing organisation | brabham bt7 | climax v8 | 11 |\n| 1964 | brabham racing organisation | brabham bt11 | climax v8 | 11 |\n| 1965 | brabham racing organisation | brabham bt11 | climax v8 | 9 |\n| 1966 | brabham racing organisation | brabham bt19 | repco v8 | 42 (45) |\n| 1966 | brabham racing organisation | brabham bt20 | repco v8 | 42 (45) |\n| 1967 | brabham racing organisation | brabham bt20 | repco v8 | 46 (48) |\n| 1967 | brabham racing organisation | brabham bt19 | repco v8 | 46 (48) |\n| 1967 | brabham racing organisation | brabham bt24 | repco v8 | 46 (48) |\n| 1968 | brabham racing organisation | brabham bt24 | repco v8 | 2 |\n| 1968 | brabham racing organisation | brabham bt26 | repco v8 | 2 |\n| 1969 | brabham racing organisation | brabham bt26a | cosworth v8 | 14 |\n| 1970 | brabham racing organisation | brabham bt33 | cosworth v8 | 25 |" + } + ] + }, + { + "id": "table_recognition_train_item_35420", + "image": "table_instructV/images/TABMWP_33093.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Number of bracelets | Number of opals |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_53324", + "image": "table_instructV/images/TabFact_1-1601935-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| episode | broadcast date | run time | viewers (in millions) | archive |\n| --- | --- | --- | --- | --- |\n| episode 1 | 14 september 1968 | 21:27 | 6.6 | 16 mm t / r |\n| episode 2 | 21 september 1968 | 21:39 | 6.5 | 16 mm t / r |\n| episode 3 | 28 september 1968 | 19:29 | 7.2 | 16 mm t / r |\n| episode 4 | 5 october 1968 | 19:14 | 7.3 | 16 mm t / r |\n| episode 5 | 12 october 1968 | 18:00 | 6.7 | 16 / 35 mm t / r |" + } + ] + }, + { + "id": "table_recognition_train_item_35344", + "image": "table_instructV/images/TABMWP_30738.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Number of necklaces | Number of pearls |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_53318", + "image": "table_instructV/images/TabFact_2-15985163-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| res | record | opponent | method | event | round |\n| --- | --- | --- | --- | --- | --- |\n| win | 15 - 4 | miodrag petković | decision (unanimous) | flawless fighting championship 1: the beginning | 3 |\n| win | 14 - 4 | james shaw | submission (arm - triangle choke) | indy mma | 1 |\n| loss | 13 - 4 | gegard mousasi | submission (guillotine choke) | dream 15 | 1 |\n| win | 13 - 3 | toni valtonen | decision (unanimous) | fight festival 27 | 3 |\n| win | 12 - 3 | dave hess | submission (kimura) | mma big show - triple threat | 2 |\n| loss | 11 - 3 | jon jones | submission (guillotine choke) | ufc 100 | 2 |\n| win | 11 - 2 | christian wellisch | decision (split) | ufc 94 | 3 |\n| loss | 10 - 2 | cain velasquez | tko (punches) | ufc : silva vs irvin | 1 |\n| loss | 10 - 1 | andrei arlovski | tko (punches) | ufc 82 | 2 |\n| win | 10 - 0 | heath herring | decision (unanimous) | ufc fight night 8 | 3 |\n| win | 9 - 0 | josh schockman | decision (unanimous) | ufc 65 | 3 |\n| win | 8 - 0 | kristof midoux | tko (referee stoppage) | ufc fight night 6 | 2 |\n| win | 7 - 0 | pat harmon | tko | ufl - united fight league | 1 |\n| win | 6 - 0 | antoine hayes | tko | lof - legends of fighting 6 | 1 |\n| win | 5 - 0 | jay white | ko (punch) | wec 19 | 1 |\n| win | 4 - 0 | johnathan ivey | tko | lof - legends of fighting 4 | 1 |\n| win | 3 - 0 | anthony ferguson | tko | lof - revolution | 1 |\n| win | 2 - 0 | paul bowers | tko | ifc - integrated fighting classic 3 | 1 |\n| win | 1 - 0 | chris clark | tko (referee stoppage) | mt - madtown throwdown 3 | 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_53964", + "image": "table_instructV/images/TabFact_1-10236830-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| nomination | actors name | film name | director | country |\n| --- | --- | --- | --- | --- |\n| best actor in a leading role | yuriy dubrovin | okraina | pyotr lutsik | ukraine |\n| best actor in a leading role | zurab begalishvili | zdes rassvet | zaza urushadze | georgia |\n| best actress in a leading role | galina bokashevskaya | totalitarian romance | vyacheslav sorokin | russia |\n| best actor in a supporting role | vsevolod shilovskiy | barhanov and his bodyguard | valeriy lanskoy | russia |\n| best actor in a supporting role | dragan nikolić | barrel of gunpowder | goran paskaljevic | serbia |\n| best actress in a supporting role | zora manojlovic | rane | srdjan dragojevic | serbia |\n| best debut | agnieszka włodarczyk | sara | maciej ślesicki | poland |" + } + ] + }, + { + "id": "table_recognition_train_item_67590", + "image": "table_instructV/images/TabFact_2-17258554-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| fin pos | car no | driver | team | laps | time / retired | grid | laps led | points |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 9 | scott dixon | target chip ganassi | 85 | 1:47:24.2663 | 6 | 29 | 50 |\n| 2 | 27 | dario franchitti | andretti green | 85 | + 2.6917 | 5 | 6 | 40 |\n| 3 | 3 | hãlio castroneves | team penske | 85 | + 8.6783 | 1 | 37 | 35 + 3 |\n| 4 | 11 | tony kanaan | andretti green | 85 | + 8.9611 | 3 | 13 | 32 |\n| 5 | 7 | danica patrick | andretti green | 85 | + 25.2578 | 2 | 0 | 30 |\n| 6 | 14 | darren manning | aj foyt racing | 85 | + 30.4606 | 8 | 0 | 28 |\n| 7 | 17 | ryan hunter - reay | rahal letterman | 85 | + 44.5001 | 10 | 0 | 26 |\n| 8 | 15 | buddy rice | dreyer & reinbold racing | 85 | + 49.9197 | 9 | 0 | 24 |\n| 9 | 2 | tomas scheckter | vision racing | 85 | + 54.5332 | 12 | 0 | 22 |\n| 10 | 10 | dan wheldon | target chip ganassi | 85 | + 55.1833 | 11 | 0 | 20 |\n| 11 | 8 | scott sharp | rahal letterman | 84 | + 1 lap | 15 | 0 | 19 |\n| 12 | 55 | kosuke matsuura | panther racing | 84 | + 1 lap | 13 | 0 | 18 |\n| 13 | 22 | a j foyt iv | vision racing | 84 | + 1 lap | 14 | 0 | 17 |\n| 14 | 6 | sam hornish , jr | team penske | 84 | + 1 lap | 7 | 0 | 16 |\n| 15 | 5 | sarah fisher | dreyer & reinbold racing | 83 | + 2 laps | 17 | 0 | 15 |\n| 16 | 20 | ed carpenter | vision racing | 82 | + 3 laps | 16 | 0 | 14 |\n| 17 | 4 | vitor meira | panther racing | 54 | mechanical | 18 | 0 | 13 |\n| 18 | 26 | marco andretti | andretti green | 0 | collision | 4 | 0 | 12 |" + } + ] + }, + { + "id": "table_recognition_train_item_62610", + "image": "table_instructV/images/TabFact_1-1301373-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| team | location | stadium | founded | joined | head coach | captain |\n| --- | --- | --- | --- | --- | --- | --- |\n| adelaide united | adelaide , sa | coopers stadium | 2003 | 2005 | josep gombau | eugene galekoviä‡ |\n| brisbane roar | brisbane , qld | suncorp stadium | 2004 | 2005 | mike mulvey | matt smith |\n| central coast mariners | gosford , nsw | bluetongue stadium | 2004 | 2005 | graham arnold | john hutchinson |\n| melbourne heart | melbourne , vic | aami park | 2008 | 2010 | john aloisi | harry kewell |\n| melbourne victory | melbourne , vic | aami park & etihad stadium | 2004 | 2005 | kevin muscat | mark milligan |\n| newcastle jets | newcastle , nsw | hunter stadium | 2000 | 2005 | gary van egmond | ruben zadkovich |\n| perth glory | perth , wa | nib stadium | 1995 | 2005 | alistair edwards | jacob burns |\n| sydney fc | sydney , nsw | allianz stadium | 2004 | 2005 | frank farina | alessandro del piero |\n| wellington phoenix | wellington , nzl | westpac stadium | 2007 | 2007 | ernie merrick | andrew durante |" + } + ] + }, + { + "id": "table_recognition_train_item_52802", + "image": "table_instructV/images/TabFact_1-22892217-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| order | episode | original airdate | timeslot | viewers (100000s) | nightly rank | weekly rank |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 818 - jklpuzo | september 28 , 2009 | monday 8:00 pm - 8:30 pm | 13.27 | 6 | 16 |\n| 2 | whipped unto the third generation | october 19 , 2009 | monday 7:30 pm - 8:00 pm | 14.36 | 1 | 3 |\n| 3 | mmm , fish yum | october 26 , 2009 | monday 7:30 pm - 8:00 pm | 14.38 | 2 | 6 |\n| 4 | laxative tester , horse inseminator | november 2 , 2009 | monday 7:30 pm - 8:00 pm | 13.69 | 2 | 8 |\n| 5 | for the sake of the child | november 9 , 2009 | monday 7:30 pm - 8:00 pm | 14.55 | 1 | 4 |\n| 6 | give me your thumb | november 16 , 2009 | monday 7:30 pm - 8:00 pm | 14.62 | 1 | 3 |\n| 7 | untainted by filth | november 23 , 2009 | monday 7:30 pm - 8:00 pm | 12.76 | 4 | 10 |\n| 8 | gorp fnark shmegle | february 1 , 2010 | monday 7:30 pm - 8:00 pm | 15.19 | 1 | 3 |\n| 9 | captain terry 's spray - on hair | february 8 , 2010 | monday 7:30 pm - 8:00 pm | 14.20 | 1 | 2 |\n| 10 | that 's why they call it ball room | february 15 , 2010 | monday 7:30 pm - 8:00 pm | 13.26 | 3 | 8 |\n| 11 | warning , it 's dirty | february 22 , 2010 | monday 7:30 pm - 8:00 pm | 13.97 | 1 | 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_106026", + "image": "table_instructV/images/ToTTo_train_table_25320.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Chart (2013) | Peak position |\n| --- | --- |\n| UK Albums (OCC) | 162 |" + } + ] + }, + { + "id": "table_recognition_train_item_35490", + "image": "table_instructV/images/TABMWP_35407.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Number of plants | Number of peppers |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | 20 |\n| 5 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_51332", + "image": "table_instructV/images/TAT-QA_b29f8e9b-790c-48fc-aede-96bc09bf8054.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| | Year-ended 31 March 2019 | Year-ended 31 March 2018 Restated See note 2 |\n| --- | --- | --- |\n| | $M | $M |\n| Wages and salaries | 286.0 | 271.8 |\n| Social security costs | 25.6 | 27.3 |\n| Pension costs | 8.9 | 8.4 |\n| Other costs | 12.7 | 12.1 |\n| | 333.2 | 319.6 |\n| Share-based payments (see note 29) | 36.9 | 42.3 |\n| Total employee costs | 370.1 | 361.9 |" + } + ] + }, + { + "id": "table_recognition_train_item_59128", + "image": "table_instructV/images/TabFact_1-27170987-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| position | nationality | name | league apps | league goals | fa cup apps | fa cup goals | total apps | total goals |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| fw | scotland | jack angus | 3 | 1 | 1 | 0 | 4 | 1 |\n| fb | england | charles baker | 18 | 5 | 5 | 0 | 23 | 12 |\n| gk | england | jack barrett | 3 | 0 | 0 | 0 | 3 | 0 |\n| gk | england | tom cain | 10 | 0 | 0 | 0 | 10 | 0 |\n| gk | england | walter cox | 3 | 0 | 5 | 0 | 8 | 0 |\n| hb | scotland | jimmy dale | 3 | 0 | 2 | 0 | 5 | 0 |\n| fw | england | jack farrell | 17 | 10 | 5 | 4 | 22 | 14 |\n| fb | wales | david hamer | 4 | 0 | 1 | 0 | 5 | 0 |\n| hb | england | john hodgkinson | 7 | 2 | 1 | 0 | 8 | 2 |\n| hb | scotland | sergt inglis | 1 | 0 | 0 | 0 | 1 | 0 |\n| fw | scotland | watty keay | 15 | 6 | 5 | 3 | 20 | 9 |\n| fw | england | bob kiddle | 1 | 0 | 0 | 0 | 1 | 0 |\n| hb | england | alf littlehales | 17 | 4 | 5 | 1 | 22 | 5 |\n| hb | scotland | john mcmillan | 4 | 0 | 0 | 0 | 4 | 0 |\n| fb | england | george marshall | 8 | 0 | 3 | 0 | 11 | 0 |\n| fb | scotland | samuel meston | 18 | 0 | 5 | 1 | 23 | 1 |\n| fw | scotland | willie naughton | 17 | 8 | 4 | 3 | 21 | 11 |\n| fb | england | gunner phillips | 1 | 0 | 0 | 0 | 1 | 0 |\n| gk | ireland | matt reilly | 2 | 0 | 0 | 0 | 2 | 0 |\n| fb | england | joe rogers | 8 | 1 | 1 | 0 | 9 | 1 |\n| hb | england | victor smith | 1 | 0 | 0 | 0 | 1 | 0 |\n| hb | england | ernie taylor | 8 | 1 | 2 | 1 | 10 | 2 |\n| hb | england | lachie thomson | 12 | 0 | 5 | 0 | 17 | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_103574", + "image": "table_instructV/images/ToTTo_train_table_14930.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Year | Quantity in service at start of year | Number withdrawn | Quantity withdrawn | Locomotive numbers |\n| --- | --- | --- | --- | --- |\n| 1952 | 189 | 1 | 1 | 45637 |\n| 1960 | 188 | 2 | 1 | 45609 |\n| 1961 | 187 | 5 | 3 | 45616/19/30 |\n| 1962 | 184 | 46 | 41 | 45559/66/70/76/82/87/94, 45603/07/15/21/28/36/51/56/62/65/73/77-79/83/86-88/91-93, 45707/11/13/15/18/20/22/24-25/27-29/31 |\n| 1963 | 143 | 77 | 31 | 45555/60/75/91, 45624-25/34/39/44-46/48-50/59/68-69/71/80, 45701-02/06/09/12/14/17/19/30/34/38/40 |\n| 1964 | 112 | 141 | 64 | 45552-54/56-58/61/64/68-69/71-72/77-80/83-85/92/98-99, 45601/05-06/10-14/17-18/20/22-23/31/35/38/40-41/57/63/70/72/74/76/81-82/85/89-90/95-96/99, 45700/03/08/10/16/23/32-33/37/41 |\n| 1965 | 48 | 174 | 33 | 45563/67/73/86/88-90/95/97, 45600/02/04/08/26/29/32-33/42/52-53/55/58/61/64/66-67/84/98, 45704-05/21/26/42 |\n| 1966 | 15 | 182 | 7 | 45574/81/96, 45627/43/54/60 |\n| 1967 | 8 | 189 | 8 | 45562/65/93, 45647/75/94/97, 45739 |" + } + ] + }, + { + "id": "table_recognition_train_item_55642", + "image": "table_instructV/images/TabFact_2-10645911-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| rank | player | years | games | reb avg | total rebounds |\n| --- | --- | --- | --- | --- | --- |\n| 1 | ken daniel | 1952 - 56 | 114 | 11.0 | 1255 |\n| 2 | walt lysaght | 1952 - 56 | 110 | 10.8 | 1190 |\n| 3 | eric poole | 1994 - 98 | 115 | 7.8 | 894 |\n| 4 | peter woolfolk | 1984 - 88 | 123 | 7.0 | 859 |\n| 5 | mike perry | 1977 - 81 | 108 | 6.8 | 738 |\n| 6 | tom green | 1964 - 67 | 74 | 9.8 | 728 |\n| 7 | kenny wood | 1989 - 93 | 118 | 6.1 | 717 |\n| 8 | johnny newman | 1982 - 86 | 122 | 5.5 | 669 |\n| 9 | jeff pehl | 1979 - 83 | 110 | 6.0 | 664 |\n| 10 | tom tenwick | 1962 - 65 | 73 | 9.1 | 662 |" + } + ] + }, + { + "id": "table_recognition_train_item_116209", + "image": "table_instructV/images/Rotowire_train_table_2447.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Spurs | San Antonio | 102 | 25 | 17 | 34 | 26 | 23 | 56 | 18 | 47 | 100 | 41 | 1 | 1 | | | | |\n| Nets | Brooklyn | 75 | 21 | 26 | 17 | 11 | 17 | 32 | 15 | 40 | 53 | 31 | 0 | 2 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Kawhi Leonard | 26 | 16 | 10 | 1 | 6-16 | 38% | 0-2 | 0% | 4-4 | 100% | 2 | 4 | 1 | 1 | 9 | 3 | F | San Antonio |\n| Tim Duncan | 29 | 15 | 8 | 1 | 4-7 | 57% | 0-0 | 0% | 7-7 | 100% | 0 | 2 | 0 | 0 | 8 | 2 | C | San Antonio |\n| Manu Ginobili | 22 | 12 | 5 | 4 | 5-12 | 42% | 2-6 | 33% | 0-0 | 0% | 1 | 1 | 1 | 0 | 5 | 0 | N/A | San Antonio |\n| Patty Mills | 18 | 11 | 3 | 3 | 4-6 | 67% | 3-5 | 60% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 0 | N/A | San Antonio |\n| LaMarcus Aldridge | 30 | 10 | 11 | 4 | 5-11 | 46% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 5 | 6 | 0 | F | San Antonio |\n| Tony Parker | 24 | 10 | 1 | 4 | 5-8 | 63% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 3 | G | San Antonio |\n| Danny Green | 27 | 8 | 4 | 2 | 3-6 | 50% | 2-5 | 40% | 0-0 | 0% | 0 | 2 | 0 | 2 | 2 | 0 | G | San Antonio |\n| Boris Diaw | 19 | 7 | 3 | 3 | 3-5 | 60% | 1-1 | 100% | 0-0 | 0% | 1 | 2 | 0 | 0 | 3 | 2 | N/A | San Antonio |\n| Boban Marjanovic | 5 | 6 | 5 | 1 | 2-5 | 40% | 0-0 | 0% | 2-2 | 100% | 0 | 2 | 0 | 3 | 2 | 0 | N/A | San Antonio |\n| Rasual Butler | 11 | 3 | 1 | 0 | 1-4 | 25% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | San Antonio |\n| Ray McCallum | 6 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 0 | 0 | 1 | N/A | San Antonio |\n| David West | 14 | 2 | 3 | 0 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 3 | 2 | N/A | San Antonio |\n| Kyle Anderson | 11 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 0 | 2 | 3 | N/A | San Antonio |\n| Nets | | | | | | | | | | | | | | | | | | |\n| Brook Lopez | 32 | 17 | 3 | 4 | 6-11 | 55% | 0-0 | 0% | 5-6 | 83% | 0 | 2 | 1 | 0 | 3 | 3 | C | Brooklyn |\n| Jarrett Jack | 27 | 12 | 6 | 7 | 5-13 | 39% | 2-3 | 67% | 0-0 | 0% | 1 | 2 | 0 | 0 | 6 | 0 | G | Brooklyn |\n| Rondae Hollis-Jefferson | 26 | 10 | 4 | 0 | 5-7 | 71% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 2 | 0 | 4 | 1 | N/A | Brooklyn |\n| Thaddeus Young | 28 | 9 | 7 | 0 | 4-11 | 36% | 1-2 | 50% | 0-3 | 0% | 0 | 1 | 0 | 2 | 5 | 2 | F | Brooklyn |\n| Shane Larkin | 16 | 7 | 0 | 4 | 3-5 | 60% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 1 | 0 | 0 | 0 | N/A | Brooklyn |\n| Bojan Bogdanovic | 20 | 6 | 4 | 0 | 3-6 | 50% | 0-2 | 0% | 0-2 | 0% | 0 | 2 | 0 | 0 | 4 | 1 | N/A | Brooklyn |\n| Andrea Bargnani | 16 | 5 | 1 | 0 | 2-4 | 50% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Brooklyn |\n| Wayne Ellington | 18 | 3 | 1 | 0 | 1-6 | 17% | 1-4 | 25% | 0-0 | 0% | 2 | 0 | 0 | 0 | 1 | 2 | G | Brooklyn |\n| Joe Johnson | 25 | 2 | 2 | 1 | 1-7 | 14% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 5 | F | Brooklyn |\n| Thomas Robinson | 15 | 2 | 4 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 2 | 0 | 4 | 1 | N/A | Brooklyn |\n| Sergey Karasev | 2 | 2 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Brooklyn |\n| Donald Sloan | 5 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 0 | 0 | N/A | Brooklyn |\n| Markel Brown | 8 | 0 | 0 | 1 | 0-4 | 0% | 0-3 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 2 | N/A | Brooklyn |" + } + ] + }, + { + "id": "table_recognition_train_item_52346", + "image": "table_instructV/images/TabFact_2-18619114-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| year | competition | venue | position | notes |\n| --- | --- | --- | --- | --- |\n| 2005 | world youth championships | marrakesh , morocco | 25th | 39.34 m |\n| 2006 | world junior championships | beijing , china | 6th | 56.38 m |\n| 2007 | european junior championships | hengelo , netherlands | 2nd | 57.01 m |\n| 2008 | olympic games | beijing , china | 11th | 53.38 m |\n| 2010 | european championships | barcelona , spain | 13th | 56.11 m |" + } + ] + }, + { + "id": "table_recognition_train_item_102576", + "image": "table_instructV/images/ToTTo_train_table_10775.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| THOI Lakatamia | 1 – 0 | ENAD Polis Chrysochous |\n| --- | --- | --- |\n| Maris 61' | (Report) | |" + } + ] + }, + { + "id": "table_recognition_train_item_34927", + "image": "table_instructV/images/TABMWP_18036.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 4 | 7 |\n| 5 | 8 |\n| 6 | 15 |" + } + ] + }, + { + "id": "table_recognition_train_item_31952", + "image": "table_instructV/images/TABMWP_12799.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 19 | 13 |\n| 15 | 12 |\n| 10 | 18 |" + } + ] + }, + { + "id": "table_recognition_train_item_63056", + "image": "table_instructV/images/TabFact_2-14747235-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| team | location | venue | capacity | position in 1999 |\n| --- | --- | --- | --- | --- |\n| bate | borisov | city stadium , borisov | 5500 | 1 |\n| slavia | mozyr | yunost , mozyr | 5500 | 2 |\n| gomel | gomel | central , gomel | 11800 | 3 |\n| dnepr - transmash | mogilev | spartak , mogilev | 11200 | 4 |\n| shakhtyor | soligorsk | stroitel | 5000 | 5 |\n| dinamo minsk | minsk | dinamo , minsk | 41040 | 6 |\n| dinamo brest | brest | dinamo , brest | 10080 | 7 |\n| belshina | bobruisk | spartak , bobruisk | 3550 | 8 |\n| neman - belcard | grodno | neman | 6300 | 9 |\n| torpedo - maz | minsk | torpedo , minsk | 5200 | 10 |\n| lokomotiv - 96 | vitebsk | central , vitebsk | 8300 | 11 |\n| naftan - devon | novopolotsk | atlant | 6500 | 12 |\n| lida | lida | city stadium , lida | 4000 | 13 |\n| torpedo - kadino | mogilev | torpedo , mogilev | 3500 | 14 |\n| kommunalnik | slonim | yunost , slonim | 3000 | first league , 1 |\n| vedrich - 97 | rechytsa | central , rechytsa | 3550 | first league , 2 |" + } + ] + }, + { + "id": "table_recognition_train_item_64282", + "image": "table_instructV/images/TabFact_1-21313498-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| no in series | no in season | title | directed by | written by | original air date | production code | us viewers (millions) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 157 | 1 | still charmed & kicking | james l conway | brad kern | september 25 , 2005 | 62015 - 08 - 157 | 4.2 |\n| 158 | 2 | malice in wonderland | mel damski | brad kern | october 2 , 2005 | 62015 - 08 - 158 | 3.8 |\n| 159 | 3 | run piper , run | derek johansen | cameron litvack | october 9 , 2005 | 62015 - 08 - 159 | 4.1 |\n| 160 | 4 | desperate housewitches | jon paré | jeannine renshaw | october 16 , 2005 | 62015 - 08 - 160 | 4.2 |\n| 161 | 5 | rewitched | john kretchmer | rob wright | october 23 , 2005 | 62015 - 08 - 161 | 4.2 |\n| 162 | 6 | kill billie vol 1 | michael grossman | elizabeth hunter | october 30 , 2005 | 62015 - 08 - 162 | 4.3 |\n| 163 | 7 | the lost picture show | jonathan west | doug e jones & andy reaser | november 6 , 2005 | 62015 - 08 - 163 | 3.8 |\n| 164 | 8 | battle of the hexes | levar burton | jeannine renshaw | november 13 , 2005 | 62015 - 08 - 164 | 4.3 |\n| 165 | 9 | hulkus pocus | joel f feigenbaum | liz sagal | november 20 , 2005 | 62015 - 08 - 165 | 4.2 |\n| 166 | 10 | vaya con leos | janice cooke leonard | cameron litvack | november 27 , 2005 | 62015 - 08 - 166 | 4.3 |\n| 167 | 11 | mr and mrs witch | james l conway | rob wright | january 8 , 2006 | 62015 - 08 - 167 | 3.3 |\n| 168 | 12 | payback 's a witch | mel damski | brad kern | january 15 , 2006 | 62015 - 08 - 168 | 3.4 |\n| 169 | 13 | repo manor | derek johansen | doug e jones | january 22 , 2006 | 62015 - 08 - 168 | 3.6 |\n| 170 | 14 | 12 angry zen | jon paré | cameron litvack | february 12 , 2006 | 62015 - 08 - 170 | 3.2 |\n| 171 | 15 | the last temptation of christy | john kretchmer | liz sagal & rick muirragui | february 19 , 2006 | 62015 - 08 - 171 | 3.8 |\n| 172 | 16 | engaged and confused | stuart gillard | jeannine renshaw | february 26 , 2006 | 62015 - 08 - 172 | 4.0 |\n| 173 | 17 | generation hex | michael grossman | rob wright | april 16 , 2006 | 62015 - 08 - 173 | 2.9 |\n| 174 | 18 | the torn identity | levar burton | andy reaser | april 23 , 2006 | 62015 - 08 - 174 | 3.3 |\n| 175 | 19 | the jung and the restless | derek johansen | cameron litvack | april 30 , 2006 | 62015 - 08 - 175 | 3.1 |\n| 176 | 20 | gone with the witches | jonathan west | jeannine renshaw | may 7 , 2006 | 62015 - 08 - 176 | 3.3 |\n| 177 | 21 | kill billie vol 2 | jon paré | brad kern | may 14 , 2006 | 62015 - 08 - 177 | 3.7 |" + } + ] + }, + { + "id": "table_recognition_train_item_106862", + "image": "table_instructV/images/ToTTo_train_table_28842.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| | Embarked at Portsmouth | Landed at Sydney Cove |\n| --- | --- | --- |\n| Officials and passengers | 15 | 14 |\n| Ships' crews | 323 | 306 |\n| Marines | 247 | 245 |\n| Marines' wives and children | 46 | 45 + 9 born |\n| Convicts (men) | 582 | 543 |\n| Convicts (women) | 193 | 189 |\n| Convicts' children | 14 | 11 + 11 born |\n| Total | 1,420 | 1,373 |" + } + ] + }, + { + "id": "table_recognition_train_item_60890", + "image": "table_instructV/images/TabFact_1-26591309-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| episode | first broadcast denmark ( dr1 ) | official tns gallup ratings | first broadcast uk ( bbc four ) | official barb ratings |\n| --- | --- | --- | --- | --- |\n| 1 | 27 september 2009 | 1702000 | 19 november 2011 | 1248000 |\n| 2 | 4 october 2009 | 1696000 | 19 november 2011 | 909000 |\n| 3 | 11 october 2009 | 1479000 | 26 november 2011 | 1080000 |\n| 4 | 18 october 2009 | 1677000 | 26 november 2011 | 863000 |\n| 5 | 25 october 2009 | 1658000 | 3 december 2011 | 1090000 |\n| 6 | 1 november 2009 | 1505000 | 3 december 2011 | 859000 |\n| 7 | 8 november 2009 | 1575000 | 10 december 2011 | 1044000 |\n| 8 | 15 november 2009 | 1609000 | 10 december 2011 | 902000 |\n| 9 | 22 november 2009 | 1561000 | 17 december 2011 | 1085000 |" + } + ] + }, + { + "id": "table_recognition_train_item_60348", + "image": "table_instructV/images/TabFact_2-16712759-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | september 3 , 1995 | san francisco 49ers | l 24 - 22 | 66627 |\n| 2 | september 10 , 1995 | st louis rams | l 17 - 13 | 59335 |\n| 3 | september 17 , 1995 | atlanta falcons | l 27 - 24 | 57442 |\n| 4 | september 24 , 1995 | new york giants | l 45 - 29 | 72619 |\n| 5 | october 1 , 1995 | philadelphia eagles | l 15 - 10 | 43938 |\n| 7 | october 15 , 1995 | miami dolphins | w 33 - 30 | 55628 |\n| 8 | october 22 , 1995 | carolina panthers | l 20 - 3 | 55484 |\n| 9 | october 29 , 1995 | san francisco 49ers | w 11 - 7 | 65272 |\n| 10 | november 5 , 1995 | st louis rams | w 19 - 10 | 43120 |\n| 11 | november 12 , 1995 | indianapolis colts | w 17 - 14 | 44122 |\n| 12 | november 19 , 1995 | minnesota vikings | l 43 - 24 | 58108 |\n| 13 | november 26 , 1995 | carolina panthers | w 34 - 26 | 39580 |\n| 14 | december 3 , 1995 | new england patriots | w 31 - 17 | 59876 |\n| 15 | december 10 , 1995 | atlanta falcons | l 19 - 14 | 54603 |\n| 16 | december 16 , 1995 | green bay packers | l 34 - 23 | 50132 |\n| 17 | december 24 , 1995 | new york jets | w 12 - 0 | 28885 |" + } + ] + }, + { + "id": "table_recognition_train_item_34888", + "image": "table_instructV/images/TABMWP_16915.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $525 | 20,900 | 12,600 |\n| $555 | 18,900 | 13,400 |\n| $585 | 16,900 | 14,200 |\n| $615 | 14,900 | 15,000 |\n| $645 | 12,900 | 15,800 |" + } + ] + }, + { + "id": "table_recognition_train_item_56304", + "image": "table_instructV/images/TabFact_1-10413597-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| no in series | no in season | title | setting | directed by | written by | original air date |\n| --- | --- | --- | --- | --- | --- | --- |\n| 21 | 1 | civil unrest | 30th may 1536 | ciaran donnelly | michael hirst | april 5 , 2009 |\n| 22 | 2 | the northern uprising | winter 1536 | ciaran donnelly | michael hirst | april 12 , 2009 |\n| 23 | 3 | dissension and punishment | 1536 - 1537 | ciaran donnelly | michael hirst | april 19 , 2009 |\n| 24 | 4 | the death of a queen | july - october 1537 | ciaran donnelly | michael hirst | april 26 , 2009 |\n| 25 | 5 | problems in the reformation | 1537 - 1538 | jeremy podeswa | michael hirst | may 3 , 2009 |\n| 26 | 6 | search for a new queen | 1538 - 1539 | jeremy podeswa | michael hirst | may 10 , 2009 |\n| 27 | 7 | protestant anne of cleves | 1539 - 1540 | jeremy podeswa | michael hirst | may 17 , 2009 |" + } + ] + }, + { + "id": "table_recognition_train_item_60166", + "image": "table_instructV/images/TabFact_1-2326823-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| model | engine | displacement | max power output | peak torque | 0 - 100 km / h , s 0 - 62 mph , s | top speed | co 2 emissions | years | note | engine code |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1.8 ts | i4 | cc (cuin) | 106 kw (144 ps) at 6500 rpm | at 3500 rpm | 9.2 | n /a | 210 g / km | 05 / 1998 - 08 / 2000 | euro2 | ar 32201 |\n| 2.0 ts | i4 | cc (cuin) | 110 kw (150 ps) at 6200 rpm | at 4000 rpm | 8.4 | n /a | 225 g / km | 1995 - 05 / 1998 | euro1 | ar 16201 |\n| 2.0 ts | i4 | cc (cuin) | 114 kw (155 ps) at 6400 rpm | at 3500 rpm | 8.4 | n /a | 220 g / km | 05 / 1998 - 08 / 2000 | euro2 | ar 32301 |\n| 2.0 ts | i4 | cc (cuin) | 110 kw (150 ps) at 6300 rpm | at 3800 rpm | 8.5 | n /a | 220 g / km | 08 / 2000 - 2006 | euro3 | ar 32310 |\n| 2.0 jts | i4 | cc (cuin) | 121 kw (165 ps) at 6400 rpm | at 3250 rpm | 8.4 | n /a | 220 g / km | 04 / 2003 - 2006 | euro 4 | 937a1000 |\n| 3.0 v6 12v | v6 | cc (cuin) | 141 kw (192 ps) at 5600 rpm | at 4400 rpm | 7.3 | n /a | 265 g / km | 1995 - 08 / 2000 | spider euro1 / e2 | ar 16101 |\n| 3.0 v6 24v | v6 | cc (cuin) | 165 kw (225 ps) at 6300 rpm | at 5000 rpm | 6.7 | n /a | 278 g / km | 1997 - 05 / 1998 | gtv euro1 | ar 16102 |\n| 3.0 v6 24v | v6 | cc (cuin) | 162 kw (220 ps) at 6300 rpm | at 5000 rpm | 6.7 | n /a | 278 g / km | 05 / 1998 - 08 / 2000 | gtv euro2 | ar 16102 |\n| 3.0 v6 24v | v6 | cc (cuin) | 160 kw (218 ps) at 6300 rpm | at 5000 rpm | 6.8 | n /a | 278 g / km | 08 / 2000 - 04 / 2003 | euro3 | ar 16105 |" + } + ] + }, + { + "id": "table_recognition_train_item_107269", + "image": "table_instructV/images/ToTTo_train_table_30536.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Language | Notes |\n| --- | --- | --- | --- | --- |\n| 2019 | Bharat | TBA | Hindi | |\n| 2018 | Ani Dr. Kashinath Ghanekar | Sulochana Latkar | Marathi | |\n| 2018 | Gulabjaam | Radha Agarkar | Marathi | |\n| 2017 | Kaccha Limbu | Shaila Katdare | Marathi | |\n| 2017 | Ti Ani Itar | Naina Godbole | Marathi | |\n| 2017 | Poster Boys | Sunita | Hindi | |\n| 2015 | Aga Bai Arechyaa 2 | Shubhangi Hemant Kudalkar | Marathi | |\n| 2014 | Dr. Prakash Baba Amte | Dr. Mandakini Amte | Marathi | |\n| 2013 | Pune 52 | Prachi Apte | Marathi | |\n| 2013 | The Good Road | Kiran | Gujarati | Selected as the Indian entry for the Best Foreign Language Film at the 86th Academy Awards, but failed to get a nomination |\n| 2011 | Deool | Vahini Saheb | Marathi | |\n| 2011 | Singham | Megha Kadam | Hindi | director Rohit Shetty |\n| 2011 | Mumbai Cutting | | Hindi | |\n| 2010 | Ringa Ringa | Manasi Desai | Marathi | Director Sanjay Jadhav DREAMING 24by7 production |\n| 2010 | Well Done Abba | Vikas Jha's wife | Hindi | |\n| 2010 | The Camp | Sonali Manthe | Hindi | |\n| 2009 | Love Khichdi | Shanta Bheemrao Bhansode | Hind | |\n| 2009 | Shadow | Inspector Sanjana Singh Rajpoot | Hindi | |\n| 2009 | Mohandas | Meghna | Hindi | |\n| 2009 | Gandha | Raavi | Marathi | |\n| 2009 | Gabhricha Paus | Alka | Marathi | |\n| 2009 | Tya Ratri Paus Hota | | Marathi | |\n| 2009 | Gulmohar | Vidya | Marathi | |\n| 2008 | Rishton Ki Machine | | Hindi | |\n| 2008 | Rama Rama Kya Hai Ye Drama | | Hindi | |\n| 2008 | Vasudev Balwant Phadke | Bhawani | Marathi | |\n| 2008 | Via Darjeeling | Rimli Sharma / Sangeeta | Hindi | |\n| 2008 | Sirf | Namita Ranade | Hindi | |\n| 2007 | Sakhi | Nishi | Marathi | |\n| 2007 | Strangers | Nandini S. Rai | Hindi | |\n| 2006 | Restaurant | | Marathi | |\n| 2006 | I See You | Kuljeet A. Kapoor | Hindi | |\n| 2006 | Darna Zaroori Hai | Mrs. Pilgaonkar | Hindi | |\n| 2006 | Taxi Number 9211 | Mrs. Sunita R. Shastri | Hindi | |\n| 2005 | Love is Blind | | Gujarati | |\n| 2005 | White Rainbow | Priya | Hindi | |\n| 2005 | Dansh | Maria | Hindi | |\n| 2005 | Devari | Seena | Marathi | |\n| 2005 | Fuoco su di me | Graziella | Italian | |\n| 2004 | Bride & Prejudice | Chandra Lamba | English | |\n| 2004 | Devrai | Seena | Marathi | |\n| 2004 | Hanan | Devi Bhagwati / Pagli | Hindi | |\n| 2004 | Silence Please... The Dressing Room | Reporter Aparna Sen | Hindi | |\n| 2004 | 1:1.6 An Ode to Lost Love | Asha | English | |\n| 2003 | Danav | Lakshmi | Hindi | |\n| 2002 | Dil Vil Pyar Vyar | Gauri | Hindi | |\n| 2002 | Agni Varsha | Nittilai | Hindi | |\n| 2002 | Kitne Door Kitne Paas | Jaya Patel | Hindi | |\n| 2002 | Chaitra | Krati | Marathi | |\n| 2002 | Junoon | | Hindi | |\n| 2001 | Dil Chahta Hai | Pooja | Hindi | |\n| 2001 | Pyaar Tune Kya Kiya | Geeta | Hindi | |\n| 2000 | Dr. Babasaheb Ambedkar | Ramabai Ambedkar | English | |\n| 2000 | Mission Kashmir | Neelima Khan | Hindi | |\n| 2000 | Kairee | Kamli's daughter (adult) | Marathi | |\n| 1999–2000 | Kya Yahi Pyaar Hai | Anju | Hindi | a story of Star Bestsellers TV Series-telecast on Star Plus in 1999-2000 |\n| 1999 | Jahan Tum Le Chalo | Namrata Shorey | Hindi | |\n| 1996 | Daayraa | The Girl | Hindi | |\n| 1996 | Badalte Rishte | Ulka | Hindi | TV Serial |\n| 1996 | Vrindavan Film Studios | Radha | English | |\n| 1996 | Kata Rute Kunala | Meera | Marathi | Telecast on Doordarshan and also got RAPA Award-Best television performance of the year |\n| 1995 | Doghi | Krishna | Marathi | |\n| 1994 | May Madham | Sandhya | Tamil | |\n| 1994 | Mukta | Mukta | Marathi | |\n| 1994 | Gulabari | Gulabari | Hindi | a Doordarshan production-telecast in 1995 |\n| 1992 | Cheluvi | Cheluvi | Kannada | a Doordarshan production |" + } + ] + }, + { + "id": "table_recognition_train_item_105117", + "image": "table_instructV/images/ToTTo_train_table_21490.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 1980 | The Chisholms | Gideon Chisholm | Main role, 9 episodes (note: replaced Brian Kerwin from the preceding miniseries) |\n| 1981 | The Incredible Hulk | Joe Dunning | Episode: \"The Phenom\" |\n| 1982 | M*A*S*H | Pvt. Thomas Anthony McKegney | Episode: \"Blood and Guts\" |\n| 1983 | The Thorn Birds | Bob Cleary | Television miniseries |\n| 1984 | Eureka Stockade | Charles Ross | Television miniseries |\n| 1984 | Single Bars, Single Women | Duane | Television film |\n| 1985 | V: The Series | Robert | Episode: \"The Littlest Dragon\" |\n| 1985 | Midas Valley | Brad Turner | Television film |\n| 1986 | Samaritan: The Mitch Snyder Story | Billy | Television film |\n| 1986–88 | Falcon Crest | Dan Fixx | Main role (seasons 6–8), 53 episodes |\n| 1987 | I'll Take Manhattan | Dennis Brady | Television miniseries |\n| 1988 | Dead Solid Perfect | Donny Smithern | HBO television film |\n| 1989 | Freddy's Nightmares | Carl | Episode: \"Cabin Fever\" |\n| 1989 | Alfred Hitchcock Presents | Cooper | Episode: \"Night Creatures\" |\n| 1989 | Tales from the Crypt | Ronnie Price | Episode: \"Only Sin Deep\" |\n| 1989–90 | The Young Riders | Sam Cain | Main role (season 1), 24 episodes |\n| 1990 | The Image | Malcolm Dundee | HBO television film |\n| 1991 | The Sitter | Jeff Harper | Television film |\n| 1991 | ...And Then She Was Gone | Peter Harmon | Television film |\n| 1992 | Another Round | Roy | Television film |\n| 1992 | Grapevine | Ken | Episode: \"The Allison and Ken Story\" |\n| 1993 | Complex of Fear | Ed Wylie | Television film |\n| 1993 | Mother of the Bride | Dennis Becker | Television film |\n| 1994 | A Kiss Goodnight | Carl Jasper | Television film |\n| 1994 | Keys | Police Chief Sam Wasser | Television film |\n| 1994 | Diagnosis: Murder | Tim Rutland | Episode: \"The Restless Remains\" |\n| 1994 | Matlock | Kevin Gilliam | Episode: \"The Temptation\" |\n| 1994 | Gambler V: Playing for Keeps | Sundance Kid | Television film |\n| 1994 | Family Album | George Waterson (uncredited) | Television miniseries |\n| 1994 | Star Trek: Deep Space Nine | Deral | Episode: \"Meridian\" |\n| 1995 | The Omen | Jack | Failed TV pilot |\n| 1996 | Shattered Mind | Sean | Television film |\n| 1997 | Orleans | Clade Charbonnet | Main role, 8 episodes |\n| 1997 | Something Borrowed, Something Blue | Pete | Television film |\n| 1997 | Suddenly Susan | Adam | 3 episodes |\n| 1997 | Arli$$ | Ryan Mason III | Episode: \"Kirby Carlisle, Trouble-Shooter\" |\n| 1997 | Perfect Body | Coach David Blair | Television film |\n| 1997 | Ally McBeal | Professor James Dawson | Episode: \"The Affair\" |\n| 1997 | The Hired Heart | Bryan | Television film |\n| 1998 | From the Earth to the Moon | Dave Scott | Television miniseries, 3 episodes |\n| 1998 | The Outer Limits | Dr. James Martin | Episode: \"Final Exam\" |\n| 1998 | The Simple Life | Luke Barton | Main role, 7 episodes |\n| 1998 | Legacy | Ned Logan | Main role, 18 episodes |\n| 2000 | The Expendables | Deacon | USA Network television film |\n| 2001 | Walker, Texas Ranger | Pete Drayton | Episode: \"Justice for All\" |\n| 2001 | Once and Again | Robert 'Bob' Dimanjik | Episodes: \"Armageddon\", \"Won't Someone Please Help George Bailey Tonight\" |\n| 2001 | On Golden Pond | Charlie Martin | CBS television film |\n| 2001 | Family Law | Dan Fortano | Episode: \"Irreparable Harm\" |\n| 2002 | Without a Trace | Greg Pritchard/Peter Raymond | Episode: \"Midnight Sun\" |\n| 2002 | Nancy Drew | Carson Drew | ABC television film |\n| 2003 | Cold Case | Rob Deamer (2003) | Episode: \"Gleen\" |\n| 2004 | Pixel Perfect | Xander | Disney Channel Original Movie |\n| 2004 | Deceit | Sam Penny | Lifetime television film |\n| 2004 | NTSB: The Crash of Flight 323 | Hub Weber | ABC television film |\n| 2004 | Life on Liberty Street | Dr. Jake Mitchell | Television film |\n| 2004 | Suburban Madness | David Harris | CBS television film |\n| 2004 | The Mountain | John 'Whit' Whitman | Recurring role, 4 episodes |\n| 2004–05 | Desperate Housewives | Detective Burnett | Episodes: \"Suspicious Minds\", \"Children Will Listen\" |\n| 2005–06 | The West Wing | Governor Ray Sullivan R-WV | Recurring role, 5 episodes |\n| 2005 | Monk | James Duffy | Episode: \"Mr. Monk and Little Monk\" |\n| 2005 | CSI: Miami | Michael Boland | Episode: \"48 Hours to Life\" |\n| 2005–08 | Lost | Goodwin Stanhope | Recurring role, 5 episodes |\n| 2006 | Faceless | John Robson | FOX television film |\n| 2006 | Pepper Dennis | Jack | Recurring role, 5 episodes |\n| 2006 | NCIS | Captain Todd Gelfand | Episodes: \"Hiatus: Part 1\", \"Hiatus: Part 2\" |\n| 2006 | Ghost Whisperer | Jack Applewhite | |\n| 2006–07 | Ugly Betty | Ted LeBeau | 3 episodes |\n| 2007 | Friday Night Lights | Walt Riggins | 4 episodes |\n| 2007 | Burn Notice | Lawrence Henderson | Episode: \"Wanted Man\" |\n| 2007 | Private Practice | Allan | Episode: \"In Which Addison Finds a Showerhead\" |\n| 2008 | The Mentalist | Dane Kurtik | Episode: \"Red Tide\" |\n| 2009–12 | Make It or Break It | Mark Keeler | Recurring role, 18 episodes |\n| 2009 | Damages | Wayne Sutry | Recurring role, 6 episodes |\n| 2009 | Three Rivers | Carson | Episode: \"Ryan's First Day\" |\n| 2010 | The Gates | Frank Buckley | Recurring role, 6 episodes |\n| 2010 | Lone Star | Cooper Thomas | Episode: \"Reverse\" |\n| 2010 | 90210 | Mr. Sullivan | Episode: \"Holiday Madness\" |\n| 2011 | Hallelujah | Sheriff Bob Clement | Television film |\n| 2011 | Castle | Christian Dahl | Episode: \"Poof, You're Dead\" |\n| 2011 | Body of Proof | Captain Perkins | Episode: \"Shades of Blue\" |\n| 2011–16 | Person of Interest | Nathan Ingram | Recurring role, 9 episodes |\n| 2012 | White Collar | Agent Patterson | Episodes: \"Diminishing Returns\", \"Parting Shots\" |\n| 2013–15 | Devious Maids | Michael Stappord | Series regular (seasons 1 & 3), 18 episodes |\n| 2014 | Revenge | Jimmy Brennan | Episodes: \"Hatred\", \"Payback\" |\n| 2014 | Criminal Minds | Preacher Justin Mills | Episodes: \"Angels\", \"Demons\" |\n| 2014–15 | Under the Dome | Don Barbara | Recurring role, 6 episodes |\n| 2015 | Point of Honor | Ralston Rhodes | Amazon.com television film |\n| 2015 | Stalker | Mayor Hayes | Episode: \"Secrets and Lies\" |\n| 2015 | CSI: Crime Scene Investigation | John Nolan | Episode: \"Under My Skin\" |\n| 2016–2017 | Narcos | Ambassador Arthur Crosby | Recurring Role, 15 episodes |\n| 2019 | True Detective | Greg Larson | Recurring Role, 3 episodes |" + } + ] + }, + { + "id": "table_recognition_train_item_65616", + "image": "table_instructV/images/TabFact_2-17177268-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| rider | manufacturer | laps | time / retired | grid |\n| --- | --- | --- | --- | --- |\n| valentino rossi | yamaha | 27 | 45:43.156 | 1 |\n| sete gibernau | honda | 27 | + 8.631 | 2 |\n| marco melandri | honda | 27 | + 18.460 | 3 |\n| alex barros | honda | 27 | + 26.938 | 8 |\n| shinya nakano | kawasaki | 27 | + 27.659 | 5 |\n| troy bayliss | honda | 27 | + 28.509 | 9 |\n| max biaggi | honda | 27 | + 30.618 | 16 |\n| makoto tamada | honda | 27 | + 36.887 | 7 |\n| colin edwards | yamaha | 27 | + 37.608 | 15 |\n| carlos checa | ducati | 27 | + 39.678 | 12 |\n| alex hofmann | kawasaki | 27 | + 42.283 | 10 |\n| toni elías | yamaha | 27 | + 55.457 | 13 |\n| loris capirossi | ducati | 27 | + 1:02.372 | 6 |\n| john hopkins | suzuki | 27 | + 1:19.346 | 11 |\n| roberto rolfo | ducati | 27 | + 1:33.607 | 18 |\n| james ellison | blata | 26 | + 1 lap | 21 |\n| franco battaini | blata | 26 | + 1 lap | 19 |\n| rubén xaus | yamaha | 24 | + 3 laps | 17 |\n| nicky hayden | honda | 20 | retirement | 4 |\n| kenny roberts , jr | suzuki | 11 | retirement | 14 |\n| shane byrne | proton kr | 2 | retirement | 20 |" + } + ] + }, + { + "id": "table_recognition_train_item_33307", + "image": "table_instructV/images/TABMWP_28093.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Dog | Weight change (oz.) |\n| --- | --- |\n| Sprinkles | 5 |\n| Champ | -6 |" + } + ] + }, + { + "id": "table_recognition_train_item_64974", + "image": "table_instructV/images/TabFact_2-14103575-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| rank | nation | gold | silver | bronze | total |\n| --- | --- | --- | --- | --- | --- |\n| 1 | germany | 2 | 2 | 0 | 4 |\n| 2 | italy | 1 | 1 | 0 | 2 |\n| 3 | united states | 1 | 0 | 1 | 2 |\n| 4 | austria | 0 | 1 | 1 | 2 |\n| 5 | ukraine | 0 | 0 | 1 | 1 |\n| 6 | latvia | 0 | 0 | 1 | 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_32647", + "image": "table_instructV/images/TABMWP_20374.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 2 | 1 |\n| 3 | 9 |\n| 4 | 16 |" + } + ] + }, + { + "id": "table_recognition_train_item_62008", + "image": "table_instructV/images/TabFact_2-15099176-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| year | class | team | points | wins |\n| --- | --- | --- | --- | --- |\n| 1952 | 250cc | nsu | 2 | 0 |\n| 1954 | 125cc | mv agusta | 6 | 0 |\n| 1954 | 250cc | moto guzzi | 5 | 0 |\n| 1955 | 350cc | moto guzzi | 7 | 0 |\n| 1956 | 125cc | mv agusta | 0 | 0 |\n| 1956 | 250cc | mv agusta | 9 | 0 |\n| 1956 | 350cc | mv agusta | 4 | 0 |\n| 1957 | 125cc | mv agusta | 11 | 0 |\n| 1957 | 250cc | mv agusta | 10 | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_66580", + "image": "table_instructV/images/TabFact_2-11208843-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| aircraft | origin | role | registration | number |\n| --- | --- | --- | --- | --- |\n| agusta bell 206 | italy | policing | s5 - hpd s5 - hpe | 2 |\n| agusta bell 212 | italy | policing | s5 - hpb | 1 |\n| agusta bell 412 | italy | policing | s5 - hpa | 1 |\n| agustawestland aw109 | italy | policing | s5 - hpg s5 - hpc | 1 1 |\n| eurocopter ec 135 | european union | policing | s5 - hph | 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_113135", + "image": "table_instructV/images/Rotowire_train_table_910.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Spurs | San Antonio | 112 | 14 | 32 | 32 | 34 | 22 | 51 | 7 | 47 | 82 | 25 | 36 | 6 | | | | |\n| Mavericks | Dallas | 83 | 16 | 20 | 20 | 27 | 20 | 45 | 13 | 36 | 76 | 26 | 23 | 19 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| LaMarcus Aldridge | 27 | 23 | 7 | 1 | 9-15 | 60% | 0-0 | 0% | 5-5 | 100% | 0 | 0 | 1 | 1 | 6 | 1 | F | San Antonio |\n| Boris Diaw | 16 | 16 | 3 | 3 | 6-11 | 55% | 2-5 | 40% | 2-2 | 100% | 1 | 1 | 0 | 1 | 2 | 3 | N/A | San Antonio |\n| Kawhi Leonard | 29 | 15 | 4 | 1 | 5-11 | 46% | 1-3 | 33% | 4-6 | 67% | 2 | 1 | 0 | 0 | 4 | 0 | F | San Antonio |\n| Jonathon Simmons | 15 | 14 | 3 | 2 | 5-7 | 71% | 2-2 | 100% | 2-2 | 100% | 1 | 0 | 0 | 0 | 3 | 3 | N/A | San Antonio |\n| David West | 14 | 8 | 5 | 4 | 4-8 | 50% | 0-0 | 0% | 0-1 | 0% | 0 | 1 | 1 | 1 | 4 | 1 | N/A | San Antonio |\n| Kyle Anderson | 12 | 8 | 1 | 1 | 3-3 | 100% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 1 | 3 | N/A | San Antonio |\n| Boban Marjanovic | 9 | 7 | 4 | 1 | 3-6 | 50% | 0-0 | 0% | 1-1 | 100% | 0 | 0 | 0 | 2 | 2 | 0 | N/A | San Antonio |\n| Manu Ginobili | 18 | 7 | 3 | 0 | 3-8 | 38% | 0-3 | 0% | 1-2 | 50% | 1 | 0 | 0 | 1 | 2 | 2 | N/A | San Antonio |\n| Patty Mills | 16 | 6 | 2 | 0 | 2-4 | 50% | 0-2 | 0% | 2-2 | 100% | 0 | 2 | 0 | 0 | 2 | 3 | N/A | San Antonio |\n| Danny Green | 28 | 4 | 7 | 1 | 2-8 | 25% | 0-4 | 0% | 0-1 | 0% | 0 | 0 | 2 | 0 | 7 | 1 | G | San Antonio |\n| Tim Duncan | 21 | 2 | 5 | 1 | 0-4 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 1 | 0 | 5 | 2 | C | San Antonio |\n| Tony Parker | 25 | 2 | 5 | 7 | 0-4 | 0% | 0-0 | 0% | 2-2 | 100% | 2 | 1 | 0 | 0 | 5 | 2 | G | San Antonio |\n| Rasual Butler | 9 | 0 | 2 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | San Antonio |\n| Mavericks | | | | | | | | | | | | | | | | | | |\n| Dwight Powell | 16 | 15 | 2 | 0 | 4-8 | 50% | 2-3 | 67% | 5-5 | 100% | 0 | 1 | 1 | 0 | 2 | 2 | N/A | Dallas |\n| Wesley Matthews | 26 | 12 | 1 | 1 | 5-9 | 56% | 1-4 | 25% | 1-2 | 50% | 0 | 1 | 0 | 0 | 1 | 3 | G | Dallas |\n| Raymond Felton | 20 | 9 | 0 | 3 | 4-9 | 44% | 0-1 | 0% | 1-1 | 100% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Dallas |\n| Deron Williams | 23 | 8 | 5 | 3 | 2-6 | 33% | 0-1 | 0% | 4-4 | 100% | 0 | 2 | 0 | 0 | 5 | 3 | G | Dallas |\n| Devin Harris | 16 | 6 | 1 | 2 | 2-4 | 50% | 2-3 | 67% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Dallas |\n| Chandler Parsons | 28 | 5 | 4 | 1 | 2-7 | 29% | 1-1 | 100% | 0-0 | 0% | 2 | 3 | 0 | 0 | 4 | 1 | F | Dallas |\n| Zaza Pachulia | 21 | 5 | 7 | 1 | 1-7 | 14% | 0-0 | 0% | 3-4 | 75% | 1 | 0 | 0 | 1 | 6 | 4 | C | Dallas |\n| J.J. Barea | 16 | 5 | 0 | 4 | 2-7 | 29% | 0-3 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Dallas |\n| JaVale McGee | 15 | 5 | 10 | 0 | 2-4 | 50% | 0-0 | 0% | 1-1 | 100% | 0 | 2 | 3 | 2 | 8 | 3 | N/A | Dallas |\n| Jeremy Evans | 9 | 5 | 4 | 0 | 2-3 | 67% | 0-1 | 0% | 1-2 | 50% | 1 | 0 | 2 | 2 | 2 | 3 | N/A | Dallas |\n| Dirk Nowitzki | 24 | 4 | 5 | 3 | 2-10 | 20% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 5 | 0 | F | Dallas |\n| Charlie Villanueva | 17 | 4 | 4 | 1 | 1-5 | 20% | 0-3 | 0% | 2-3 | 67% | 0 | 2 | 0 | 0 | 4 | 1 | N/A | Dallas |\n| John Jenkins | 9 | 0 | 2 | 1 | 0-2 | 0% | 0-0 | 0% | 0-1 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Dallas |" + } + ] + }, + { + "id": "table_recognition_train_item_53356", + "image": "table_instructV/images/TabFact_2-12427499-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| player | games | tries | goals | f goals | points |\n| --- | --- | --- | --- | --- | --- |\n| burt , luke luke burt | 16 16 | 09 9 | 59 59 / 70 | 0 0 | 154 154 |\n| inu , krisnan krisnan inu | 20 20 | 12 12 | 37 37 / 45 | 0 0 | 122 122 |\n| hayne , jarryd jarryd hayne | 25 25 | 12 12 | 0 0 / 1 | 0 0 | 048 48 |\n| grothe , jr , eric eric grothe , jr | 23 23 | 11 11 | 0 0 | 0 0 | 044 44 |\n| mateo , feleti feleti mateo | 25 25 | 09 9 | 0 0 | 0 0 | 036 36 |\n| smith , ben ben smith | 23 23 | 08 8 | 0 0 | 0 0 | 032 32 |\n| hindmarsh , nathan nathan hindmarsh | 22 22 | 07 7 | 0 0 | 0 0 | 028 28 |\n| tahu , timana timana tahu | 18 18 | 07 7 | 0 0 / 1 | 0 0 | 028 28 |\n| riddell , mark mark riddell | 23 23 | 05 5 | 0 0 / 1 | 0 0 | 020 20 |\n| hindmarsh , ian ian hindmarsh | 24 24 | 04 4 | 0 0 / 1 | 1 1 | 017 17 |\n| smith , tim tim smith | 27 27 | 03 3 | 1 1 / 1 | 0 0 | 014 14 |\n| cayless , nathan nathan cayless | 22 22 | 03 3 | 0 0 | 0 0 | 012 12 |\n| reddy , joel joel reddy | 10 10 | 03 3 | 0 0 | 0 0 | 012 12 |\n| wagon , daniel daniel wagon | 22 22 | 03 3 | 0 0 | 0 0 | 012 12 |\n| finch , brett brett finch | 25 25 | 02 2 | 0 0 | 1 1 | 009 9 |\n| marsh , pj pj marsh | 27 27 | 02 2 | 0 0 | 0 0 | 008 8 |\n| robinson , chad chad robinson | 20 20 | 02 2 | 0 0 | 0 0 | 008 8 |\n| cannings , aaron aaron cannings | 21 21 | 01 1 | 0 0 | 0 0 | 004 4 |\n| cordoba , josh josh cordoba | 25 25 | 01 1 | 0 0 | 0 0 | 004 4 |\n| moimoi , fuifui fuifui moimoi | 21 21 | 01 1 | 0 0 | 0 0 | 004 4 |\n| taia , zeb zeb taia | 03 3 | 01 1 | 0 0 | 0 0 | 004 4 |\n| green , blake blake green | 06 6 | 0 0 | 0 0 | 0 0 | 0 0 |\n| hauraki , weller weller hauraki | 05 5 | 0 0 | 0 0 | 0 0 | 0 0 |\n| paulo , junior junior paulo | 03 3 | 0 0 | 0 0 | 0 0 | 0 0 |\n| lowrie , todd todd lowrie | 02 2 | 0 0 | 0 0 | 0 0 | 0 0 |\n| fa'aoso , richard richard fa'aoso | 01 1 | 4 | 0 0 | 0 0 | 0 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_50970", + "image": "table_instructV/images/TAT-QA_03b96394-1751-4669-bdc4-d6d0c6ce104d.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | Number of shares | Weighted average grant date fair value |\n| --- | --- | --- |\n| Unvested shares as of September 30, 2017 | 370,530 | $15.24 |\n| Granted | 7,235 | 14.17 |\n| Vested | (113,930) | 16.45 |\n| Forfeited | (15,222) | 15.41 |\n| Unvested shares as of September 30, 2018 | 248,613 | 14.65 |\n| Granted | 4,340 | 14.40 |\n| Vested | (110,683) | 16.31 |\n| Forfeited | (11,830) | 14.47 |\n| Unvested shares as of September 30, 2019 | 130,440 | 13.25 |" + } + ] + }, + { + "id": "table_recognition_train_item_57282", + "image": "table_instructV/images/TabFact_2-18904228-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| name | position | league apps | league goals | fa cup apps | fa cup goals | league cup apps | league cup goals | total apps | total goals |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mike barry | mf | 17 | 0 | 2 | 0 | 0 | 0 | 19 | 0 |\n| les chapman | mf | 22 | 2 | 0 | 0 | 1 | 0 | 23 | 2 |\n| dennis clarke | df | 31 | 0 | 2 | 0 | 0 | 0 | 33 | 0 |\n| terry dolan | mf | 21 (2) | 0 | 2 | 0 | 1 | 0 | 24 (2) | 0 |\n| john dungworth | fw | 13 (3) | 1 | 0 | 0 | 0 | 0 | 13 (3) | 1 |\n| mick fairclough | fw | 14 (6) | 1 | 2 | 2 | 1 | 0 | 17 (6) | 3 |\n| paul garner | df | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 |\n| alan gowling | fw | 42 | 17 | 2 | 0 | 1 | 0 | 45 | 17 |\n| bobby hoy | mf | 19 | 1 | 2 | 0 | 0 | 0 | 21 | 1 |\n| geoff hutt | df | 35 | 1 | 2 | 0 | 1 | 0 | 38 | 1 |\n| alan jones | df | 8 | 0 | 0 | 0 | 0 | 0 | 8 | 0 |\n| dick krzywicki | mf | 8 (1) | 2 | 0 | 0 | 0 | 0 | 8 (1) | 2 |\n| jimmy lawson | mf | 22 | 1 | 2 | 0 | 1 | 0 | 25 | 1 |\n| dave lyon | df | 20 | 0 | 1 | 0 | 1 | 0 | 22 | 0 |\n| brian marshall | df | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 0 |\n| grahame mcgifford | df | 0 (1) | 0 | 0 | 0 | 0 | 0 | 0 (1) | 0 |\n| jimmy nicholson | mf | 26 | 0 | 0 | 0 | 1 | 0 | 27 | 0 |\n| gary pierce | gk | 13 | 0 | 0 | 0 | 1 | 0 | 14 | 0 |\n| terry poole | gk | 22 | 0 | 2 | 0 | 0 | 0 | 24 | 0 |\n| graham pugh | mf | 37 | 1 | 0 | 0 | 1 | 1 | 38 | 2 |\n| john saunders | df | 20 | 1 | 1 | 0 | 0 | 0 | 21 | 1 |\n| dave smith | mf | 18 (4) | 4 | 2 | 0 | 1 | 0 | 21 (4) | 4 |\n| paul smith | mf | 0 (1) | 0 | 0 | 0 | 0 | 0 | 0 (1) | 0 |\n| steve smith | mf | 29 (1) | 1 | 0 | 0 | 0 | 0 | 29 (1) | 1 |\n| phil summerill | fw | 13 (3) | 3 | 0 | 0 | 0 | 0 | 13 (3) | 3 |\n| chris wood | gk | 7 | 0 | 0 | 0 | 0 | 0 | 7 | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_111947", + "image": "table_instructV/images/Rotowire_train_table_316.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nets | Brooklyn | 109 | 29 | 35 | 20 | 25 | 22 | 36 | 9 | 40 | 81 | 29 | 4 | 9 | | | | |\n| Trail Blazers | Portland | 129 | 32 | 38 | 29 | 30 | 23 | 50 | 15 | 58 | 76 | 42 | 8 | 7 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Nets | | | | | | | | | | | | | | | | | | |\n| Brook Lopez | 29 | 21 | 6 | 4 | 8-14 | 57% | 2-4 | 50% | 3-3 | 100% | 1 | 2 | 1 | 3 | 3 | 2 | C | Brooklyn |\n| Trevor Booker | 26 | 16 | 4 | 1 | 7-9 | 78% | 2-2 | 100% | 0-0 | 0% | 2 | 1 | 0 | 3 | 1 | 2 | F | Brooklyn |\n| Bojan Bogdanovic | 24 | 15 | 2 | 1 | 6-11 | 55% | 1-3 | 33% | 2-2 | 100% | 0 | 0 | 0 | 0 | 2 | 2 | G | Brooklyn |\n| Isaiah Whitehead | 24 | 11 | 1 | 2 | 2-10 | 20% | 1-4 | 25% | 6-6 | 100% | 1 | 0 | 1 | 0 | 1 | 1 | G | Brooklyn |\n| Justin Hamilton | 22 | 11 | 3 | 1 | 4-7 | 57% | 3-6 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 1 | N/A | Brooklyn |\n| Joe Harris | 27 | 8 | 4 | 3 | 2-7 | 29% | 0-3 | 0% | 4-4 | 100% | 0 | 2 | 0 | 0 | 4 | 1 | N/A | Brooklyn |\n| Rondae Hollis-Jefferson | 25 | 8 | 3 | 4 | 4-11 | 36% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 1 | 1 | 2 | 4 | F | Brooklyn |\n| Luis Scola | 14 | 6 | 2 | 1 | 1-4 | 25% | 0-2 | 0% | 4-5 | 80% | 0 | 1 | 0 | 1 | 1 | 2 | N/A | Brooklyn |\n| Anthony Bennett | 6 | 5 | 4 | 1 | 1-2 | 50% | 0-1 | 0% | 3-7 | 43% | 0 | 0 | 0 | 3 | 1 | 0 | N/A | Brooklyn |\n| Randy Foye | 13 | 5 | 3 | 2 | 1-6 | 17% | 1-4 | 25% | 2-2 | 100% | 0 | 2 | 0 | 0 | 3 | 2 | N/A | Brooklyn |\n| Sean Kilpatrick | 20 | 3 | 4 | 1 | 1-9 | 11% | 0-2 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 4 | 3 | N/A | Brooklyn |\n| Yogi Ferrell | 12 | 0 | 0 | 1 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Brooklyn |\n| Chris McCullough | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |\n| Trail Blazers | | | | | | | | | | | | | | | | | | |\n| CJ McCollum | 31 | 33 | 4 | 5 | 12-19 | 63% | 6-10 | 60% | 3-3 | 100% | 0 | 5 | 0 | 0 | 4 | 5 | G | Portland |\n| Evan Turner | 30 | 19 | 4 | 4 | 8-12 | 67% | 0-1 | 0% | 3-3 | 100% | 1 | 0 | 0 | 0 | 4 | 2 | N/A | Portland |\n| Damian Lillard | 28 | 18 | 4 | 5 | 8-14 | 57% | 0-5 | 0% | 2-4 | 50% | 1 | 2 | 1 | 0 | 4 | 1 | G | Portland |\n| Meyers Leonard | 27 | 14 | 11 | 1 | 4-8 | 50% | 4-6 | 67% | 2-2 | 100% | 0 | 0 | 0 | 0 | 11 | 2 | N/A | Portland |\n| Allen Crabbe | 30 | 14 | 2 | 0 | 5-10 | 50% | 4-7 | 57% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 1 | N/A | Portland |\n| Maurice Harkless | 22 | 10 | 4 | 0 | 5-7 | 71% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 2 | 2 | 2 | F | Portland |\n| Mason Plumlee | 24 | 7 | 8 | 4 | 3-6 | 50% | 0-0 | 0% | 1-3 | 33% | 1 | 2 | 2 | 2 | 6 | 3 | C | Portland |\n| Shabazz Napier | 5 | 5 | 0 | 0 | 1-2 | 50% | 1-2 | 50% | 2-2 | 100% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Portland |\n| Ed Davis | 19 | 3 | 6 | 3 | 0-1 | 0% | 0-0 | 0% | 3-4 | 75% | 0 | 2 | 2 | 2 | 4 | 4 | F | Portland |\n| Noah Vonleh | 15 | 2 | 3 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 2 | 0 | 3 | 6 | N/A | Portland |\n| Jake Layman | 4 | 2 | 3 | 0 | 1-3 | 33% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 3 | N/A | Portland |\n| Tim Quarterman | 2 | 2 | 1 | 1 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 1 | N/A | Portland |\n| Pat Connaughton | 3 | 0 | 0 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Portland |" + } + ] + }, + { + "id": "table_recognition_train_item_55614", + "image": "table_instructV/images/TabFact_2-18225042-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| competition | round | date and time | opponent team | result |\n| --- | --- | --- | --- | --- |\n| supercoppa italiana | final | august 24 , 2008 - 20.45 | inter | 2 - 2 (8 - 7) pen |\n| serie a | 1 a | august 31 , 2008 - 15.00 | napoli | 1 - 1 |\n| serie a | 2 a | september 13 , 2008 - 18.00 | palermo | 3 - 1 |\n| champions league | group a - match 1 | september 16 , 2008 - 20.45 | cfr cluj | 1 - 2 |\n| serie a | 3 a | september 20 , 2008 - 20.30 | reggina | 3 - 0 |\n| serie a | 4 a | september 24 , 2008 - 20.30 | genoa | 3 - 1 |\n| serie a | 5 a | september 28 , 2008 - 15.00 | atalanta | 2 - 0 |\n| champions league | group a - match 2 | october 1 , 2008 - 20.45 | bordeaux | 1 - 3 |\n| serie a | 6 a | october 5 , 2008 - 15.00 | siena | 1 - 0 |\n| serie a | 7 a | october 19 , 2008 - 20.30 | inter | 0 - 4 |\n| champions league | group a - match 3 | october 22 , 2008 - 20.45 | chelsea | 1 - 0 |\n| serie a | 8 a | october 26 , 2008 - 15.00 | udinese | 3 - 1 |\n| serie a | 9 a | october 26 , 2008 - 20.30 | sampdoria | n / a |\n| serie a | 10 a | november 1 , 2008 - 20.30 | juventus | 2 - 0 |\n| champions league | group a - match 4 | november 4 , 2008 - 20.45 | chelsea | 3 - 1 |\n| serie a | 11 a | november 8 , 2008 - 20.30 | bologna | 1 - 1 |\n| serie a | 12 a | november 16 , 2008 - 20.30 | lazio | 1 - 0 |\n| serie a | 13 a | november 23 , 2008 - 15.00 | lecce | 0 - 3 |\n| champions league | group a - match 5 | november 26 , 2008 - 20.45 | cfr cluj | 1 - 3 |\n| serie a | 14 a | november 30 , 2008 - 18.00 | fiorentina | 1 - 0 |\n| serie a | 15 a | december 6 , 2008 - 18.00 | chievo verona | 0 - 1 |\n| champions league | group a - match 6 | december 9 , 2008 - 20.45 | bordeaux | 2 - 0 |\n| serie a | 16 a | december 14 , 2008 - 15.00 | cagliari | 3 - 2 |\n| coppa italia | round of 16 | december 18 , 2008 - 21.00 | bologna | 2 - 0 |\n| serie a | 17 a | december 21 , 2008 - 15.00 | catania | 3 - 2 |\n| serie a | 18 a | january 11 , 2009 - 15.00 | ac milan | 2 - 2 |\n| serie a | 9 a | january 14 , 2009 - 20.30 | uc sampdoria | 2 - 0 |\n| serie a | 19 a | january 18 , 2009 - 15.00 | torino | 0 - 1 |\n| coppa italia | quarterfinal | january 21 , 2009 - 21.00 | inter | 2 - 1 |\n| serie a | 1 r | january 25 , 2009 - 15.00 | napoli | 0 - 3 |\n| serie a | 2 r | january 28 , 2009 - 20.30 | palermo | 2 - 1 |\n| serie a | 3 r | february 1 , 2009 - 15.15 | reggina | 2 - 2 |\n| serie a | 4 r | february 8 , 2009 - 15.00 | genoa | 3 - 0 |\n| serie a | 5 r | february 15 , 2009 - 15.00 | atalanta | 3 - 0 |\n| serie a | 6 r | february 21 , 2009 - 18.00 | siena | 1 - 0 |\n| champions league | first knockout round - 1st leg | february 24 , 2009 - 20.45 | arsenal | 1 - 0 |\n| serie a | 7 r | march 1 , 2009 - 20.30 | inter | 3 - 3 |\n| serie a | 8 r | march 7 , 2009 - 16.00 | udinese | 1 - 1 |\n| champions league | first knockout round - 2nd leg | march 11 , 2009 - 20.45 | arsenal | 1 - 0 (6 - 7) |" + } + ] + }, + { + "id": "table_recognition_train_item_61404", + "image": "table_instructV/images/TabFact_2-11154187-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| no in series | no in season | title | directed by | written by | original air date |\n| --- | --- | --- | --- | --- | --- |\n| 23 | 1 | slime and punishment | robert berlinger | tom straw | september 19 , 1992 |\n| 24 | 2 | in my new country | robert berlinger | tom reeder | september 26 , 1992 |\n| 25 | 3 | inside information | robert berlinger | susan harris | october 3 , 1992 |\n| 26 | 4 | the bad boy in the plastic bubble | robert berlinger | boyd hale | october 10 , 1992 |\n| 27 | 5 | julie gets validated | robert berlinger | boyd hale | october 17 , 1992 |\n| 28 | 6 | annie 's choice | robert berlinger | danny smith | october 24 , 1992 |\n| 29 | 7 | playing doctor | robert berlinger | susan harris | october 31 , 1992 |\n| 30 | 8 | dirty laundry | robert berlinger | susan harris | november 7 , 1992 |\n| 31 | 9 | illicit transfers | robert berlinger | susan harris | november 14199 |\n| 32 | 10 | our fred | robert berlinger | susan beavers (story) , danny smith (teleplay) | november 21 , 1992 |\n| 33 | 11 | one pequeno , two pequeno | robert berlinger | tom straw | december 5 , 1992 |\n| 34 | 12 | solitary man | robert berlinger | tom reeder | december 12 , 1992 |\n| 35 | 13 | caught short | robert berlinger | tom reeder | january 2 , 1993 |\n| 36 | 14 | if i were a rich man | robert berlinger | susan harris | january 9 , 1993 |\n| 37 | 15 | gropes of wrath | robert berlinger | susan harris | january 16 , 1993 |\n| 38 | 16 | super bowl | lax passaris | susan harris | january 30 , 1993 |\n| 39 | 17 | the devil and the deep blue sea | gil junger | danny smith | february 6 , 1993 |\n| 40 | 18 | love and death | robert berlinger | boyd hale | february 13 , 1993 |\n| 41 | 19 | family outing | lax passaris | michael davidoff , bill rosenthal | february 20 , 1993 |\n| 42 | 20 | when hank met gina | peter d beyt | steve elkins | february 27 , 1993 |\n| 43 | 21 | sting of hearts | gil junger | danny smith | april 3 , 1993 |\n| 44 | 22 | what are friends for | peter beyt | mark nutter | april 10 , 1993 |\n| 40 | 23 | smokin' in the boys room | robert berlinger | boyd hale | may 1 , 1993 |\n| 46 | 24 | jumpin' jack flash | tom straw | tom straw | may 1 , 1993 |" + } + ] + }, + { + "id": "table_recognition_train_item_56762", + "image": "table_instructV/images/TabFact_2-12280396-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| peak | elevation (m) | prominence (m) | isolation (km) | municipality | county |\n| --- | --- | --- | --- | --- | --- |\n| galdhøpiggen | 2469 | 2372 | 1570 | lom | oppland |\n| jiehkkevárri | 1833 | 1741 | 140 | lyngen , tromsø | troms |\n| snøhetta | 2286 | 1675 | 83 | dovre | oppland |\n| store lenangstind | 1625 | 1576 | 47 | lyngen | troms |\n| gjegnen / blånibba | 1670 | 1460 | 47 | bremanger | sogn og fjordane |\n| hamperokken | 1404 | 1396 | 18 | tromsø | troms |\n| skårasalen | 1542 | 1385 | 7 | ørsta | møre og romsdal |\n| oksskolten | 1916 | 1384 | 185 | hemnes | nordland |\n| botnafjellet | 1572 | 1339 | 15 | gloppen | sogn og fjordane |\n| kvitegga | 1717 | 1324 | 23 | stranda , ørsta | møre og romsdal |\n| fresvikbreen | 1660 | 1310 | 17 | vik | sogn og fjordane |\n| smørskredtindane | 1630 | 1306 | 12 | stranda , ørsta | møre og romsdal |\n| njunis | 1717 | 1305 | 53 | målselv | troms |\n| store trolla | 1850 | 1292 | 11 | sunndal | møre og romsdal |\n| langlitinden | 1276 | 1276 | 26 | ibestad | troms |\n| indre russetind | 1527 | 1268 | 9 | balsfjord | troms |\n| møysalen | 1262 | 1262 | 60 | hinnøya | nordland |\n| stortind | 1320 | 1242 | 14 | tromsø | troms |\n| folgefonna | 1660 | 1233 | 29 | kvinnherad , odda | hordaland |\n| daurmål | 1446 | 1230 | 4 | gloppen , jølster | sogn og fjordane |" + } + ] + }, + { + "id": "table_recognition_train_item_50914", + "image": "table_instructV/images/TAT-QA_a15caffa-d0dc-452c-91c6-a359773b734f.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | | Quarter Ended | | |\n| --- | --- | --- | --- | --- |\n| | March 31, | June 30, | September 30, | December 31, |\n| | 2019 | 2019 | 2019 | 2019 |\n| Revenue | $50,290 | $49,189 | $52,833 | $60,316 |\n| Gross profit | $38,040 | $37,918 | $40,913 | $46,876 |\n| Net income (loss) | $(12,272) | $(5,771) | $173 | $51 |\n| Net loss per share-basic | $(0.16) | $(0.08) | $— | $— |\n| Net loss per share-diluted | $(0.16) | $(0.08) | $— | $— |\n| | | Quarter | Ended | |\n| | March 31, | June 30, | September 30, | December 31, |\n| | 2018 | 2018 | 2018 | 2018 |\n| Revenue | $49,183 | $60,713 | $60,502 | $61,825 |\n| Gross profit | $37,299 | $47,526 | $47,488 | $48,014 |\n| Net loss | $(19,670) | $(4,532) | $(1,807) | $(1,608) |\n| Net loss per share-basic | $(0.27) | $(0.06) | $(0.02) | $(0.02) |\n| Net loss per share-diluted | $(0.27) | $(0.06) | $(0.02) | $(0.02) |" + } + ] + }, + { + "id": "table_recognition_train_item_52082", + "image": "table_instructV/images/TabFact_2-17751803-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| tie no | home team | score | away team | date |\n| --- | --- | --- | --- | --- |\n| 1 | blackpool | 2 - 2 | queens park rangers | 18 feb 1990 |\n| replay | queens park rangers | 0 - 0 | blackpool | 21 feb 1990 |\n| replay | queens park rangers | 3 - 0 | blackpool | 26 feb 1990 |\n| 2 | bristol city | 0 - 0 | cambridge united | 17 feb 1990 |\n| replay | cambridge united | 1 - 1 | bristol city | 21 feb 1990 |\n| replay | cambridge united | 5 - 1 | bristol city | 27 feb 1990 |\n| 3 | liverpool | 3 - 0 | southampton | 17 feb 1990 |\n| 4 | west bromwich albion | 0 - 2 | aston villa | 17 feb 1990 |\n| 5 | sheffield united | 2 - 2 | barnsley | 18 feb 1990 |\n| replay | barnsley | 0 - 0 | sheffield united | 21 feb 1990 |\n| replay | barnsley | 0 - 1 | sheffield united | 5 mar 1990 |\n| 6 | newcastle united | 2 - 3 | manchester united | 18 feb 1990 |\n| 7 | oldham athletic | 2 - 2 | everton | 17 feb 1990 |\n| replay | everton | 1 - 1 | oldham athletic | 21 feb 1990 |\n| replay | oldham athletic | 2 - 1 | everton | 10 mar 1990 |\n| 8 | crystal palace | 1 - 0 | rochdale | 17 feb 1990 |" + } + ] + }, + { + "id": "table_recognition_train_item_32908", + "image": "table_instructV/images/TABMWP_23563.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of piles | Number of magazines |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_52314", + "image": "table_instructV/images/TabFact_2-14311305-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| game | december | opponent | score | record | points |\n| --- | --- | --- | --- | --- | --- |\n| 27 | 4 | chicago black hawks | 7 - 5 | 18 - 5 - 4 | 40 |\n| 28 | 6 | detroit red wings | 2 - 4 | 18 - 6 - 4 | 40 |\n| 29 | 7 | colorado rockies | 4 - 2 | 19 - 6 - 4 | 42 |\n| 30 | 10 | chicago black hawks | 2 - 2 | 19 - 6 - 5 | 43 |\n| 31 | 13 | pittsburgh penguins | 6 - 5 | 20 - 6 - 5 | 45 |\n| 32 | 14 | st louis blues | 5 - 4 | 21 - 6 - 5 | 47 |\n| 33 | 18 | colorado rockies | 2 - 0 | 22 - 6 - 5 | 49 |\n| 34 | 20 | washington capitals | 5 - 2 | 23 - 6 - 5 | 51 |\n| 35 | 21 | washington capitals | 0 - 6 | 23 - 7 - 5 | 51 |\n| 36 | 27 | calgary flames | 1 - 2 | 23 - 8 - 5 | 51 |\n| 37 | 28 | edmonton oilers | 2 - 1 | 24 - 8 - 5 | 53 |\n| 38 | 30 | minnesota north stars | 5 - 6 | 24 - 9 - 5 | 53 |" + } + ] + }, + { + "id": "table_recognition_train_item_33413", + "image": "table_instructV/images/TABMWP_29091.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Employee | Pay period | |\n| --- | --- |\n| Lorena Simon | February 7-13 | |\n| Total earnings | | $353.00 |\n| Federal income tax | $38.65 | |\n| Other taxes | $27.00 | |\n| Total taxes | | ? |\n| Pay after taxes | | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_32786", + "image": "table_instructV/images/TABMWP_22093.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| | Social worker | Doctor |\n| --- | --- | --- |\n| Fear of snakes | 3 | 3 |\n| Fear of heights | 3 | 2 |" + } + ] + }, + { + "id": "table_recognition_train_item_54808", + "image": "table_instructV/images/TabFact_2-16536958-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| season | series | races | wins | poles | f / laps | podiums | points | position |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2007 | formula first manfeild winter series | 3 | 0 | 0 | 1 | 1 | 170 | 14th |\n| 2007 - 08 | oem supply nz formula first championship | 24 | 4 | 1 | 5 | 18 | 1368 | 3rd |\n| 2008 | formula ford manfeild winter series | 9 | 5 | 1 | 3 | 7 | 610 | 3rd |\n| 2008 | australian formula ford championship | 2 | 0 | 0 | 0 | 0 | 0 | nc |\n| 2008 - 09 | mta formula ford championship | 21 | 11 | 3 | 4 | 15 | 1215 | 1st |\n| 2009 | australian formula ford championship | 16 | 1 | 0 | 2 | 6 | 164 | 6th |\n| 2009 | adac formel masters | 6 | 0 | 1 | 0 | 2 | 52 | 8th |\n| 2009 | toyota racing series - hamilton 400 trophy | 2 | 2 | 2 | 1 | 2 | 150 | 1st |\n| 2010 | adac formel masters | 18 | 12 | 2 | 9 | 17 | 315 | 1st |\n| 2010 | michelin formula renault winter cup | 6 | 1 | 0 | 1 | 3 | 99 | 5th |\n| 2010 | toyota racing series | 6 | 1 | 0 | 2 | 3 | 362 | 10th |\n| 2011 | german formula three championship | 18 | 13 | 10 | 8 | 16 | 181 | 1st |\n| 2011 | gp3 series | 4 | 1 | 0 | 0 | 1 | 7 | 20th |\n| 2012 | formula renault 3.5 series | 5 | 0 | 0 | 0 | 0 | 8 | 22nd |" + } + ] + }, + { + "id": "table_recognition_train_item_67370", + "image": "table_instructV/images/TabFact_2-11963536-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| date | visitor | score | home | leading scorer | attendance | record |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2 november 2007 | trail blazers | w 113 - 93 (ot) | hornets | chris paul (19) | 9817 | 2 - 0 |\n| 4 november 2007 | hornets | w 93 - 88 (ot) | nuggets | david west (17) | 13156 | 3 - 0 |\n| 6 november 2007 | hornets | w 118 - 104 (ot) | lakers | peja stojakovic (36) | 18997 | 4 - 0 |\n| 7 november 2007 | hornets | l 90 - 93 (ot) | trail blazers | david west (34) | 19980 | 4 - 1 |\n| 9 november 2007 | spurs | l 85 - 97 (ot) | hornets | chris paul (18) | 15297 | 4 - 2 |\n| 11 november 2007 | hornets | w 93 - 72 (ot) | 76ers | two - way tie (16) | 10014 | 5 - 2 |\n| 12 november 2007 | hornets | w 84 - 82 (ot) | nets | chris paul (27) | 12832 | 6 - 2 |\n| 14 november 2007 | 76ers | w 95 - 76 (ot) | hornets | morris peterson (27) | 8302 | 7 - 2 |\n| 16 november 2007 | hornets | w 120 - 118 (ot) | grizzlies | david west (40) | 13271 | 8 - 2 |\n| 17 november 2007 | hornets | w 100 - 82 (ot) | timberwolves | peja stojakovic (22) | 15324 | 9 - 2 |\n| 19 november 2007 | magic | l 88 - 95 (ot) | hornets | peja stojakovic (21) | 11741 | 9 - 3 |\n| 21 november 2007 | pacers | l 93 - 105 (ot) | hornets | david west (23) | 11609 | 9 - 4 |\n| 23 november 2007 | hornets | l 71 - 99 (ot) | jazz | david west (18) | 19911 | 9 - 5 |\n| 24 november 2007 | hornets | w 98 - 89 (ot) | clippers | peja stojakovic (22) | 15601 | 10 - 5 |\n| 26 november 2007 | timberwolves | l 94 - 103 (ot) | hornets | chris paul (31) | 8393 | 10 - 6 |\n| 30 november 2007 | hornets | w 92 - 86 (ot) | hawks | david west (22) | 14186 | 11 - 6 |" + } + ] + }, + { + "id": "table_recognition_train_item_114075", + "image": "table_instructV/images/Rotowire_train_table_1380.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Timberwolves | Minnesota | 96 | 17 | 21 | 30 | 28 | 23 | 43 | 16 | 47 | 79 | 46 | 5 | 21 | | | | |\n| Pacers | Indiana | 100 | 20 | 32 | 23 | 25 | 25 | 36 | 13 | 50 | 71 | 32 | 9 | 19 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Mo Williams | 32 | 24 | 2 | 10 | 10-16 | 63% | 2-5 | 40% | 2-2 | 100% | 0 | 3 | 0 | 0 | 2 | 2 | N/A | Minnesota |\n| Shabazz Muhammad | 37 | 21 | 6 | 2 | 8-18 | 44% | 0-1 | 0% | 5-6 | 83% | 2 | 3 | 0 | 2 | 4 | 2 | F | Minnesota |\n| Chase Budinger | 27 | 13 | 4 | 2 | 6-10 | 60% | 1-2 | 50% | 0-0 | 0% | 1 | 1 | 0 | 0 | 4 | 0 | N/A | Minnesota |\n| Gorgui Dieng | 33 | 10 | 7 | 3 | 3-5 | 60% | 0-0 | 0% | 4-4 | 100% | 0 | 4 | 0 | 3 | 4 | 1 | C | Minnesota |\n| Zach LaVine | 16 | 9 | 1 | 2 | 2-6 | 33% | 1-1 | 100% | 4-4 | 100% | 1 | 0 | 0 | 0 | 1 | 2 | G | Minnesota |\n| Thaddeus Young | 28 | 8 | 2 | 2 | 4-9 | 44% | 0-0 | 0% | 0-2 | 0% | 2 | 2 | 0 | 1 | 1 | 3 | F | Minnesota |\n| Robbie Hummel | 9 | 5 | 1 | 0 | 1-3 | 33% | 1-2 | 50% | 2-2 | 100% | 0 | 1 | 0 | 0 | 1 | 3 | N/A | Minnesota |\n| Andrew Wiggins | 32 | 5 | 9 | 1 | 2-8 | 25% | 0-0 | 0% | 1-2 | 50% | 1 | 1 | 0 | 3 | 6 | 3 | G | Minnesota |\n| Jeff Adrien | 13 | 1 | 6 | 1 | 0-0 | 0% | 0-0 | 0% | 1-2 | 50% | 1 | 0 | 1 | 0 | 6 | 2 | N/A | Minnesota |\n| Anthony Bennett | 13 | 0 | 4 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 4 | 0 | N/A | Minnesota |\n| Troy Daniels | 0 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Minnesota |\n| Glenn Robinson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| CJ Miles | 32 | 28 | 6 | 0 | 10-18 | 56% | 4-11 | 36% | 4-5 | 80% | 0 | 0 | 0 | 2 | 4 | 3 | N/A | Indiana |\n| Roy Hibbert | 27 | 15 | 8 | 3 | 6-11 | 55% | 0-0 | 0% | 3-4 | 75% | 1 | 2 | 4 | 1 | 7 | 1 | C | Indiana |\n| David West | 29 | 14 | 4 | 2 | 7-9 | 78% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 1 | 2 | 2 | 1 | F | Indiana |\n| Donald Sloan | 19 | 10 | 1 | 7 | 5-10 | 50% | 0-3 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 1 | N/A | Indiana |\n| Luis Scola | 21 | 10 | 2 | 2 | 5-9 | 56% | 0-1 | 0% | 0-2 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Indiana |\n| Solomon Hill | 32 | 7 | 4 | 4 | 2-5 | 40% | 1-2 | 50% | 2-2 | 100% | 2 | 4 | 0 | 0 | 4 | 2 | F | Indiana |\n| Rodney Stuckey | 27 | 7 | 3 | 1 | 3-8 | 38% | 0-0 | 0% | 1-1 | 100% | 0 | 0 | 1 | 0 | 3 | 5 | G | Indiana |\n| CJ Watson | 29 | 7 | 2 | 4 | 3-9 | 33% | 1-2 | 50% | 0-0 | 0% | 2 | 3 | 0 | 0 | 2 | 2 | G | Indiana |\n| Lavoy Allen | 19 | 2 | 5 | 2 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 3 | 2 | 1 | N/A | Indiana |\n| Damjan Rudez | 5 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Indiana |\n| Ian Mahinmi | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Chris Copeland | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Shayne Whittington | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |" + } + ] + }, + { + "id": "table_recognition_train_item_31348", + "image": "table_instructV/images/TABMWP_6734.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $885 | 7,300 | 14,400 |\n| $915 | 7,000 | 16,100 |\n| $945 | 6,700 | 17,800 |\n| $975 | 6,400 | 19,500 |\n| $1,005 | 6,100 | 21,200 |" + } + ] + }, + { + "id": "table_recognition_train_item_64756", + "image": "table_instructV/images/TabFact_2-12383208-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| date | opponent | score | loss | attendance | record |\n| --- | --- | --- | --- | --- | --- |\n| april 3 | mariners | 3 - 2 | langston (0 - 1) | 46163 | 1 - 0 |\n| april 5 | mariners | 11 - 1 | bankhead (0 - 1) | 16045 | 2 - 0 |\n| april 6 | mariners | 11 - 3 | campbell (0 - 1) | 19087 | 3 - 0 |\n| april 7 | white sox | 7 - 1 | c young (0 - 1) | 20585 | 3 - 1 |\n| april 8 | white sox | 7 - 4 | moore (0 - 1) | 32881 | 3 - 2 |\n| april 9 | white sox | 4 - 2 | reuss (1 - 1) | 45110 | 4 - 2 |\n| april 10 | angels | 4 - 0 | finley (1 - 1) | 23820 | 5 - 2 |\n| april 11 | angels | 7 - 1 | davis (1 - 1) | 23322 | 5 - 3 |\n| april 12 | angels | 5 - 0 | c young (0 - 2) | 24650 | 5 - 4 |\n| april 13 | angels | 5 - 0 | abbott (0 - 2) | 24137 | 6 - 4 |\n| april 14 | white sox | 7 - 4 | pérez (1 - 1) | 37950 | 7 - 4 |\n| april 15 | white sox | 7 - 4 | welch (2 - 1) | 15748 | 7 - 5 |\n| april 16 | white sox | 3 - 2 | king (0 - 3) | 20969 | 8 - 5 |\n| april 17 | mariners | 7 - 2 | c young (0 - 3) | 14827 | 8 - 6 |\n| april 18 | mariners | 5 - 3 | reed (1 - 2) | 9670 | 9 - 6 |\n| april 19 | mariners | 7 - 5 | langston (2 - 2) | 11328 | 10 - 6 |\n| april 21 | angels | 10 - 6 | finley (2 - 2) | 26903 | 11 - 6 |\n| april 22 | angels | 4 - 3 | blyleven (2 - 1) | 33172 | 12 - 6 |\n| april 23 | angels | 2 - 0 | mccaskill (3 - 1) | 25681 | 13 - 6 |\n| april 24 | blue jays | 5 - 4 | henke (1 - 2) | 25099 | 14 - 6 |\n| april 25 | blue jays | 3 - 1 | cerutti (0 - 1) | 12437 | 15 - 6 |\n| april 26 | orioles | 2 - 1 | welch (3 - 2) | 17060 | 15 - 7 |\n| april 27 | orioles | 9 - 4 | thurmond (0 - 1) | 21423 | 16 - 7 |\n| april 28 | tigers | 2 - 1 | gibson (1 - 1) | 26594 | 17 - 7 |\n| april 29 | tigers | 3 - 2 | alexander (3 - 1) | 36313 | 18 - 7 |\n| april 30 | tigers | 7 - 2 | davis (2 - 2) | 36009 | 18 - 8 |" + } + ] + }, + { + "id": "table_recognition_train_item_115541", + "image": "table_instructV/images/Rotowire_train_table_2113.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Rockets | Houston | 115 | 36 | 14 | 34 | 31 | 27 | 40 | 7 | 48 | 67 | 34 | 24 | 22 | | | | |\n| Mavericks | Dallas | 104 | 29 | 29 | 27 | 19 | 17 | 36 | 14 | 46 | 77 | 50 | 25 | 21 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Rockets | | | | | | | | | | | | | | | | | | |\n| Trevor Ariza | 39 | 29 | 3 | 2 | 11-15 | 73% | 6-9 | 67% | 1-4 | 25% | 3 | 0 | 0 | 1 | 2 | 2 | F | Houston |\n| James Harden | 36 | 23 | 15 | 10 | 7-18 | 39% | 3-10 | 30% | 6-6 | 100% | 0 | 2 | 2 | 2 | 13 | 1 | G | Houston |\n| Josh Smith | 23 | 16 | 3 | 2 | 6-14 | 43% | 2-6 | 33% | 2-2 | 100% | 2 | 1 | 2 | 1 | 2 | 3 | N/A | Houston |\n| Corey Brewer | 27 | 13 | 1 | 3 | 5-11 | 46% | 0-4 | 0% | 3-3 | 100% | 4 | 0 | 1 | 0 | 1 | 3 | F | Houston |\n| Ty Lawson | 24 | 10 | 2 | 2 | 4-6 | 67% | 1-2 | 50% | 1-1 | 100% | 0 | 1 | 1 | 0 | 2 | 2 | N/A | Houston |\n| Jason Terry | 20 | 8 | 0 | 1 | 3-5 | 60% | 2-4 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Houston |\n| Clint Capela | 24 | 8 | 5 | 2 | 4-7 | 57% | 0-0 | 0% | 0-3 | 0% | 0 | 0 | 0 | 1 | 4 | 4 | C | Houston |\n| Patrick Beverley | 31 | 7 | 9 | 4 | 3-10 | 30% | 1-7 | 14% | 0-0 | 0% | 0 | 1 | 1 | 3 | 6 | 1 | G | Houston |\n| Terrence Jones | 10 | 1 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Houston |\n| Marcus Thornton | 7 | 0 | 2 | 0 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 1 | 3 | N/A | Houston |\n| Dwight Howard | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Donatas Motiejunas | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Sam Dekker | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Mavericks | | | | | | | | | | | | | | | | | | |\n| Chandler Parsons | 36 | 31 | 6 | 3 | 10-15 | 67% | 5-6 | 83% | 6-9 | 67% | 1 | 1 | 1 | 0 | 6 | 2 | F | Dallas |\n| Dirk Nowitzki | 27 | 19 | 3 | 0 | 7-13 | 54% | 4-6 | 67% | 1-1 | 100% | 0 | 1 | 0 | 0 | 3 | 1 | F | Dallas |\n| Raymond Felton | 34 | 16 | 8 | 2 | 6-10 | 60% | 1-3 | 33% | 3-3 | 100% | 1 | 2 | 0 | 1 | 7 | 1 | N/A | Dallas |\n| Wesley Matthews | 34 | 15 | 1 | 1 | 5-11 | 46% | 4-7 | 57% | 1-2 | 50% | 1 | 1 | 0 | 0 | 1 | 3 | G | Dallas |\n| Salah Mejri | 29 | 10 | 11 | 0 | 4-6 | 67% | 0-0 | 0% | 2-2 | 100% | 0 | 3 | 3 | 6 | 5 | 5 | C | Dallas |\n| Dwight Powell | 14 | 6 | 1 | 1 | 2-4 | 50% | 0-0 | 0% | 2-3 | 67% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | Dallas |\n| Deron Williams | 32 | 4 | 1 | 5 | 1-9 | 11% | 0-3 | 0% | 2-2 | 100% | 0 | 3 | 0 | 0 | 1 | 4 | G | Dallas |\n| J.J. Barea | 14 | 3 | 0 | 3 | 1-7 | 14% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Dallas |\n| Devin Harris | 10 | 0 | 3 | 2 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 3 | 1 | N/A | Dallas |\n| Charlie Villanueva | 5 | 0 | 1 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 3 | N/A | Dallas |\n| John Jenkins | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Dallas |\n| Justin Anderson | 3 | 0 | 1 | 0 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Dallas |\n| JaVale McGee | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |" + } + ] + }, + { + "id": "table_recognition_train_item_101270", + "image": "table_instructV/images/ToTTo_train_table_5321.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Title | Director | Cast | Genre | Sources |\n| --- | --- | --- | --- | --- |\n| Aadamkhor | Joginder | Joginder Shelly, Neelam Mehra, Nazneen | | |\n| Aag Aur Shola | K. Bapaiah | Shoma Anand, Asrani, Bindu | | |\n| Aakhree Raasta | | Amitabh Bachchan, Sridevi, Jaya Prada, Sadashiv Amrapurkar | | |\n| Aap Ke Saath | J. Om Prakash | Smita Patil, Anil Kapoor, Rati Agnihotri | Drama, Family | |\n| Aashiana | Mahesh Bhatt | Mark Zubair, Deepti Naval, Soni Razdan | | |\n| Adhikar | Chitrayug, Vijay Sadanah | Rajesh Khanna, Tina Munim, Zarina Wahab | | |\n| Aisa Pyaar Kahan | Vijay Sadanah | Jeetendra, Jayapradha, Mithun Chakraborty | | |\n| Albela | | | Romance | |\n| Allah Rakha | Ketan M. Desai | Jackie Shroff, Shammi Kapoor, Waheeda Rehman, Dimple Kapadia, Meenakshi Seshadri | | |\n| Amma | | | | |\n| Amrit | Mohan Kumar | Rajesh Khanna, Smita Patil, Aruna Irani | Drama, Family | |\n| Anaadi Anant | Prakash Jha | Surekha Sikri, Vasant Jasaljar, Suman Kumar | | |\n| Andaz Pyaar Ka | | Neelam | | |\n| Andheri Raat Mein Diya Tere Haath Mein | Dada Kondke | Dada Kondke, Usha Chavan, Dina Pathak | | |\n| Angaaray | Rajesh Seth | Rajesh Khanna, Smita Patil, Raj Babbar | Adventure, Crime, Romance | |\n| Ankush | N. Chandra | Nana Patekar, Rabia Amin, Raja Bundela | Drama | |\n| Anokha Insaan | | T.P. Jain, Padma Khanna | | |\n| Anokha Rishta | I.V. Sasi | Rajesh Khanna, Smita Patil, Sabeeha | Drama | |\n| Anubhav | Kashinath | Shekhar Suman, Padmini Kolhapure, Padma Khanna | Comedy, Drama | |\n| Asli Naqli | Sudershan Nag | Shatrughan Sinha, Rajnikanth, Anita Raj | | |\n| Avinash | Umesh Mehra | Mithun Chakraborty, Poonam Dhillon, Bindiya Goswami | Action, Crime, Drama | |\n| Baat Ban Jaye | Bharat Rangachary | Zeenat Aman, Amol Palekar, Utpal Dutt | | |\n| Babu | Govind Moonis | Aakash, Brahmachari, Shreechand Makhija | Drama | |\n| Badkaar | | Sadhana Singh | | |\n| Bhagwaan Dada | J. Om Prakash | Rajnikanth, Rakesh Roshan, Sridevi | | |\n| Bhai Ka Dushman Bhai | Sudesh Issar | Puneet Issar, Suresh Oberoi, Rameshwari | | |\n| Car Thief | Sameer Malkan | Suneil Anand, Vijayata Pandit, Kevin Mukherji | | |\n| Chambal Ka Badshah | S. Dinesh | Danny Denzongpa, Roma Manik, Raj Kiran | | |\n| Chameli Ki Shaadi | Basu Chatterjee | Anil Kapoor, Amrita Singh, Om Prakash | Comedy, Drama, Romance | |\n| Chhota Aadmi | Krishnakant | Naresh Kanodiya, Komal Mahuvakar, Jayshree T. | | |\n| Congregation | Muzaffar Ali | Shabana Azmi, Farooq Shaikh, Rohini Hattangadi | Drama | |\n| Dahleez | Ravi Chopra | Jackie Shroff, Raj Babbar, Meenakshi Sheshadri | Drama, Family, Action | |\n| Daku Bijlee | | | | |\n| Dancing City | | | Romance | |\n| Dharm Adhikari | | Dilip Kumar, Jeetendra, Sridevi, Pran | | |\n| Dilwaala | K. Murali Mohana Rao | Smita Patil, Mithun Chakraborty, Meenakshi Seshadri, Shakti Kapoor, Dulari, Pran | | |\n| Dosti Dushmani | T. Rama Rao | Jeetendra, Rishi Kapoor, Bhanupriya, Poonam Dhillon, Pran | | |\n| Durgaa Maa | K.S. Reddy | Beena Banerjee, Shubha Khote, Raj Kiran | | |\n| Duty | Ravikant Nagaich | Arun Bakshi, Rakesh Bedi, Govinda | | |" + } + ] + }, + { + "id": "table_recognition_train_item_61734", + "image": "table_instructV/images/TabFact_2-17644259-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| date | round | opponent | venue | result | attendance |\n| --- | --- | --- | --- | --- | --- |\n| 13 / 01 / 2009 | r4 | brechin city | glebe park | 3 - 1 | 1026 |\n| 07 / 02 / 2009 | r5 | motherwell | fir park | 1 - 1 | 5695 |\n| 17 / 02 / 2009 | r5 (replay) | motherwell | st mirren park | 1 - 0 | 4555 |\n| 07 / 03 / 2009 | quarter - final | celtic | st mirren park | 1 - 0 | 5925 |\n| 25 / 04 / 2009 | semi - final | rangers | hampden park | 0 - 3 | 32431 |" + } + ] + }, + { + "id": "table_recognition_train_item_58964", + "image": "table_instructV/images/TabFact_1-27721131-11.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 75 | april 1 | cleveland | w 115 - 107 (ot) | andray blatche (36) | andray blatche (19) | jordan crawford (11) | verizon center 17427 | 19 - 56 |\n| 76 | april 3 | charlotte | w 97 - 91 (ot) | andray blatche (25) | andray blatche (17) | john wall (5) | time warner cable arena 16444 | 20 - 56 |\n| 77 | april 5 | detroit | w 107 - 105 (ot) | andray blatche , john wall (26) | andray blatche (10) | john wall (12) | verizon center 18131 | 21 - 56 |\n| 78 | april 6 | indiana | l 112 - 136 (ot) | jordan crawford (29) | andray blatche (10) | john wall (4) | conseco fieldhouse 14222 | 21 - 57 |\n| 80 | april 9 | atlanta | w 115 - 83 (ot) | andray blatche (23) | othyus jeffers (11) | jordan crawford (8) | verizon center 19771 | 22 - 58 |\n| 81 | april 11 | boston | w 95 - 94 (ot) | john wall (24) | yi jianlian (10) | jordan crawford (6) | verizon center 17787 | 23 - 58 |" + } + ] + }, + { + "id": "table_recognition_train_item_104253", + "image": "table_instructV/images/ToTTo_train_table_17896.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 2005 | 1/2 Falta | Bruno Sampardi | |\n| 2006 | Sos mi vida | José Fernández | |\n| 2007 | Romeo y Julieta | Romeo | |\n| 2008 | Donne assassine | Davide | |\n| 2008 | Atracción x4 | Keto Milhojas | |\n| 2009 | Atracción x4 en Dream Beach | Keto Milhojas | |\n| 2012 | Los únicos | Borja | |\n| 2012 | Historia clínica (unitario) | Bernardo de Monteagudo | |\n| 2013 | Historias de corazón | Julián (Ep: \"La profe\") | |\n| 2014 | La celebración | Francisco (Ep: \"Boda\") | |\n| 2014 | Señores Papis | Roman | |\n| 2014 | Televisión por la justicia: Santos y pecadores | Ariel Arbizu, \"el pinche\" (Ep: \"El pinche\") | |\n| 2015 | Conflictos modernos | Mateo (Ep: \"Mateo\") | |" + } + ] + }, + { + "id": "table_recognition_train_item_30786", + "image": "table_instructV/images/TABMWP_468.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Number of ponds | Number of ducks |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_100776", + "image": "table_instructV/images/ToTTo_train_table_3285.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Year | Film | Role | Notes |\n| --- | --- | --- | --- |\n| 1982 | Death Valley | Sally | |\n| 1983 | Better Late Than Never | Sable | |\n| 1984 | Garbo Talks | Jane Mortimer | |\n| 1984 | The Razor's Edge | Isabel Bradley | |\n| 1985 | Fever Pitch | Flo | |\n| 1986 | Peggy Sue Got Married | Carol Heath | |\n| 1986 | Star Trek IV: The Voyage Home | Dr. Gillian Taylor | |\n| 1987 | Like Father Like Son | Dr. Amy Larkin | |\n| 1988 | Cognac | Ella Frazier | |\n| 1988 | Child's Play | Karen Barclay | |\n| 1989 | Souvenir | Tina Boyer | |\n| 1989 | She's Out of Control | Janet Pearson | |\n| 1990 | Child's Play 2 | Karen Barclay | Photograph, Uncredited |\n| 1991 | Child's Play 3 | Karen Barclay | Photograph, Uncredited |\n| 1991 | Liebestraum | Mary Parker | |\n| 1995 | Dillinger and Capone | Abigail | |\n| 1995 | Animal Room | Mrs. Mosk | |\n| 1997 | Turbulence | Maggie | |\n| 1997 | Eight Days a Week | Ms. Lewis | |\n| 2009 | My Name Is Jerry | Dana Holderman | |\n| 2009 | The Truth About Layla | Eleanor | |\n| 2010 | The Genesis Code | Myra Allitt | |\n| 2011 | Your Love Never Fails | Judge Cramer | Video |\n| 2011 | Ghost Phone: Phone Calls from the Dead | Gertrude | |\n| 2011 | Dorfman in Love | Rose | |\n| 2011 | You're a Wolf | Mom | Short film |\n| 2013 | Reach | Linda | |\n| 2013 | Curse of Chucky | Karen Barclay | Photograph, Uncredited |\n| 2014 | The Dog Who Saved Easter | Cressida | |\n| 2015 | That Gal...Who Was In That Thing | Herself | Documentary |" + } + ] + }, + { + "id": "table_recognition_train_item_105793", + "image": "table_instructV/images/ToTTo_train_table_24307.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| 2 May 1982 27 | Vitória de Setúbal | 2–2 | Benfica | Setúbal |\n| --- | --- | --- | --- | --- |\n| 18:00 | Jorge Jesus 63' Fernando Garcez 83' | Report | Reinaldo 14' Nené 73' | Stadium: Estádio do Bonfim Referee: Alder Dante |" + } + ] + }, + { + "id": "table_recognition_train_item_66286", + "image": "table_instructV/images/TabFact_1-20174050-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| title | author | reader | format | company | release date | notes |\n| --- | --- | --- | --- | --- | --- | --- |\n| night of the humans | llewellyn , david david llewellyn | darvill , arthur arthur darvill | download | bbc audio | 2010 - 07 - 01 1 july 2010 | unabridged reissued on 4 cds by audiogo |\n| the forgotten army | minchin , brian brian minchin | colman , olivia olivia colman | download | bbc audio | 2010 - 09 - 01 1 september 2010 | unabridged reissued on 6 cds by audiogo |\n| the coming of the terraphiles | moorcock , michael michael moorcock | mantle , clive clive mantle | 9 - cd | bbc audio | 2010 - 10 - 28 28 october 2010 | unabridged |\n| nuclear time | smith , oli oli smith | briggs , nicholas nicholas briggs | download | bbc audio | 2011 - 02 - 01 1 february 2011 | unabridged reissued on 4 cds by audiogo |\n| the king 's dragon | mccormack , una una mccormack | briggs , nicholas nicholas briggs | download | bbc audio | 2011 - 03 - 01 1 march 2011 | unabridged reissued on 5 cds by audiogo |\n| the glamour chase | russell , gary gary russell | darvill , arthur arthur darvill | download | bbc audio | 2011 - 04 - 01 1 april 2011 | unabridged reissued on 5 cds by audiogo |\n| the way through the woods | mccormack , una una mccormack | corbett , clare clare corbett | download | bbc audio | 2011 - 07 - 01 1 july 2011 | unabridged reissued on 4 cds by audiogo |\n| touched by an angel | morris , jonathon jonathan morris | corbett , clare clare corbett | download | bbc audio | 2011 - 08 - 01 1 august 2011 | unabridged reissued on 6 cds by audiogo |\n| paradox lost | mann , george george mann | briggs , nicholas nicholas briggs | download | bbc audio | 2011 - 09 - 01 1 september 2011 | unabridged reissued on 6 cds by audiogo |\n| borrowed time | alderman , naomi naomi alderman | syal , meera meera syal | download | bbc audio | 2011 - 10 - 01 1 october 2011 | unabridged reissued on 6 cds by audiogo |\n| the silent stars go by | abnett , dan dan abnett | maloney , michael michael maloney | download | bbc audio | 2011 - 10 - 01 1 october 2011 | reissued on 6 cds 3 november 2011 |\n| dark horizons | colgan , jenny j t colgan | mcintosh , neve neve mcintosh | 6 - cd | bbc audio | 2012 - 07 - 05 5 july 2012 | unabridged |\n| plague of the cybermen | richards , justin justin richards | warner , david david warner | cd | audiogo | 2013 - 04 - 11 11 april 2013 | cybermen vocies by nicholas briggs |\n| the dalek generation | briggs , nicholas nicholas briggs | briggs , nicholas nicholas briggs | download | audiogo | 2013 - 04 - 11 11 april 2013 | reissued on cd 3 june 2013 |" + } + ] + }, + { + "id": "table_recognition_train_item_60710", + "image": "table_instructV/images/TabFact_2-14174175-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| phase | round | draw date | first leg | second leg |\n| --- | --- | --- | --- | --- |\n| qualifying | first qualifying round | 22 june 2009 | 30 june - 1 july 2009 | 7 - 8 july 2009 |\n| qualifying | second qualifying round | 22 june 2009 | 14 - 15 july 2009 | 21 - 22 july 2009 |\n| qualifying | third qualifying round | 17 july 2009 | 28 - 29 july 2009 | 4 - 5 august 2009 |\n| play - off | play - off round | 7 august 2009 | 18 - 19 august 2009 | 25 - 26 august 2009 |\n| group stage | matchday 1 | 27 august 2009 ( monaco ) | 15 - 16 september 2009 | 15 - 16 september 2009 |\n| group stage | matchday 2 | 27 august 2009 ( monaco ) | 29 - 30 september 2009 | 29 - 30 september 2009 |\n| group stage | matchday 3 | 27 august 2009 ( monaco ) | 20 - 21 october 2009 | 20 - 21 october 2009 |\n| group stage | matchday 4 | 27 august 2009 ( monaco ) | 3 - 4 november 2009 | 3 - 4 november 2009 |\n| group stage | matchday 5 | 27 august 2009 ( monaco ) | 24 - 25 november 2009 | 24 - 25 november 2009 |\n| group stage | matchday 6 | 27 august 2009 ( monaco ) | 8 - 9 december 2009 | 8 - 9 december 2009 |\n| knockout phase | round of 16 | 18 december 2009 | 16 - 17 & 23 - 24 february 2010 | 9 - 10 & 16 - 17 march 2010 |\n| knockout phase | quarter - finals | 19 march 2010 | 30 - 31 march 2010 | 6 - 7 april 2010 |\n| knockout phase | semi - finals | 19 march 2010 | 20 - 21 april 2010 | 27 - 28 april 2010 |\n| knockout phase | final | 19 march 2010 | 22 may 2010 at santiago bernabéu stadium , madrid | 22 may 2010 at santiago bernabéu stadium , madrid |" + } + ] + }, + { + "id": "table_recognition_train_item_68540", + "image": "table_instructV/images/TabFact_1-23242950-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| no in series | no in season | title | directed by | written by | original air date | production code | us viewers (millions) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 24 | 1 | camp refoogee | albert calleros | josh bycel & jonathan fener | september 10 , 2006 | 2ajn06 | 8.93 |\n| 25 | 2 | the american dad after school special | pam cooke | dan vebber | september 17 , 2006 | 2ajn05 | 7.71 |\n| 26 | 3 | failure is not a factory - installed option | rodney clouden | etan cohen | september 24 , 2006 | 2ajn07 | 8.36 |\n| 27 | 4 | lincoln lover | brent woods | rick wiener & kenny schwartz & nahnatchka khan | november 5 , 2006 | 2ajn11 | 7.71 |\n| 28 | 5 | dungeons and wagons | kurt dumas & anthony lioi | michael shipley & jim bernstein | november 12 , 2006 | 2ajn08 | 8.48 |\n| 29 | 6 | iced , iced babies | caleb meurer | steve hely | november 19 , 2006 | 2ajn09 | 8.24 |\n| 30 | 7 | of ice and men | john aoshima | brian boyle | november 26 , 2006 | 2ajn10 | 8.76 |\n| 31 | 8 | irregarding steve | pam cooke | chris mckenna & matt mckenna | december 10 , 2006 | 2ajn12 | 7.11 |\n| 32 | 9 | the best christmas story never told | albert calleros | brian boyle | december 17 , 2006 | 2ajn14 | n / a |\n| 33 | 10 | bush comes to dinner | mike kim | mike barker & matt weitzman | january 7 , 2007 | 2ajn13 | 9.12 |\n| 34 | 11 | american dream factory | rodney clouden | nahnatchka khan | january 28 , 2007 | 2ajn16 | 7.49 |\n| 35 | 12 | at the abusive terrestrial | joe daniello | dan vebber | february 11 , 2007 | 2ajn17 | 6.60 |\n| 36 | 13 | black mystery month | brent woods | laura mccreary | february 18 , 2007 | 2ajn20 | 7.06 |\n| 37 | 14 | an apocalypse to remember | john aoshima | erik durbin | march 25 , 2007 | 2ajn19 | 6.64 |\n| 38 | 15 | four little words | caleb meurer | david zuckerman | april 1 , 2007 | 2ajn18 | 5.94 |\n| 39 | 16 | when a stan loves a woman | rodney clouden | rick wiener & kenny schwartz | april 29 , 2007 | 2ajn23 | 6.71 |\n| 40 | 17 | i can't stan you | pam cooke | michael shipley & jim bernstein | may 6 , 2007 | 2ajn15 | 6.31 |\n| 41 | 18 | the magnificent steven | mike kim | steve hely | may 13 , 2007 | 2ajn21 | 5.67 |" + } + ] + }, + { + "id": "table_recognition_train_item_106331", + "image": "table_instructV/images/ToTTo_train_table_26622.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Year | Film / Television Series | Role | Notes |\n| --- | --- | --- | --- |\n| 1988 | Human Error | Unknown | |\n| 1996 | Un posto al sole | Lorenzo Macchia | |\n| 1998 | Un medico in famiglia | Unknown | |\n| 1999 | Vivere | Riccardo Moretti | |\n| 1999 | Finalmente soli | Unknown | |\n| 1999 | Anni '60 | Unknown | |\n| 1999 | Millennium Man | Marco Sanjoni | |\n| 2000 | Distretto di Polizia | Unknown | |\n| 2000 | Valeria medico legale | Unknown | |\n| 2001 | Una donna per amico 3 | Unknown | |\n| 2001 | Hollow | Detective Santini | |\n| 2001 | Angelo il custode | Adriano | |\n| 2003 | The Bold and the Beautiful | Riccardo Moretti | |\n| 2005 | Il cielo può attendere | Unknown | |\n| 2005 | Ricomincio da me | Luca Biagini | |\n| 2006 | The Night Before the Exams | Ottavio - fidanzato della mamma di Claudia | |\n| 2007 | Live Free or Die Hard | Emerson | |\n| 2010 | Black Tulip | Colonel Tanelli | |\n| 2011 | Down the Shore | Jacques Sardi | |\n| 2014 | Non Stop | Herve Philbert | |\n| 2014 | Grand Street | Sebastian | |\n| 2014 | Panzehir | Francesco Sasso | |\n| 2015 | Cold | Thomas Blake | |\n| 2015 | CrAzy | Edoardo | |\n| 2015 | Club Santino | Marco | |\n| 2017 | Culture of Fear | David | |\n| 2017 | General Commander | Orsini | |\n| 2019 | My Sweet Life | Antonio | |" + } + ] + }, + { + "id": "table_recognition_train_item_105658", + "image": "table_instructV/images/ToTTo_train_table_23728.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| New Zealand | v | Pakistan |\n| --- | --- | --- |\n| 249 (74 overs) Stephen Fleming 67 (109) Mushtaq Ahmed 6/87 (30 overs) | | 430 (126.4 overs) Saeed Anwar 149 (214) Chris Cairns 5/137 (30.4 overs) |\n| 168 (58 overs) Bryan Young 61 (121) Mohammad Zahid 7/66 (20 overs) | | |" + } + ] + }, + { + "id": "table_recognition_train_item_117359", + "image": "table_instructV/images/Rotowire_train_table_3022.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Grizzlies | Memphis | 94 | 19 | 30 | 18 | 27 | 14 | 42 | 11 | 46 | 84 | 22 | 37 | 24 | | | | |\n| Jazz | Utah | 88 | 28 | 11 | 33 | 16 | 21 | 45 | 17 | 43 | 66 | 26 | 28 | 33 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Grizzlies | | | | | | | | | | | | | | | | | | |\n| Zach Randolph | 35 | 25 | 8 | 1 | 9-18 | 50% | 1-1 | 100% | 6-6 | 100% | 0 | 2 | 0 | 2 | 6 | 2 | F | Memphis |\n| Lance Stephenson | 25 | 16 | 5 | 1 | 8-11 | 73% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 5 | 5 | N/A | Memphis |\n| Mike Conley | 28 | 12 | 2 | 4 | 4-13 | 31% | 0-2 | 0% | 4-6 | 67% | 0 | 1 | 0 | 0 | 2 | 3 | G | Memphis |\n| Mario Chalmers | 30 | 11 | 6 | 5 | 4-8 | 50% | 1-2 | 50% | 2-3 | 67% | 5 | 3 | 2 | 2 | 4 | 3 | N/A | Memphis |\n| Vince Carter | 21 | 9 | 4 | 2 | 4-10 | 40% | 1-5 | 20% | 0-0 | 0% | 1 | 0 | 0 | 1 | 3 | 0 | N/A | Memphis |\n| Chris Andersen | 27 | 6 | 10 | 0 | 2-2 | 100% | 0-0 | 0% | 2-2 | 100% | 1 | 0 | 1 | 2 | 8 | 2 | C | Memphis |\n| JaMychal Green | 20 | 6 | 3 | 1 | 3-5 | 60% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 0 | N/A | Memphis |\n| Matt Barnes | 24 | 5 | 0 | 0 | 2-8 | 25% | 1-4 | 25% | 0-0 | 0% | 0 | 1 | 1 | 0 | 0 | 3 | F | Memphis |\n| Ryan Hollins | 11 | 2 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 1 | 1 | 0 | 1 | N/A | Memphis |\n| PJ Hairston | 17 | 2 | 3 | 0 | 1-6 | 17% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 0 | 1 | 2 | 3 | G | Memphis |\n| Jarell Martin | 3 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Memphis |\n| Tony Allen | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Jazz | | | | | | | | | | | | | | | | | | |\n| Gordon Hayward | 38 | 18 | 6 | 2 | 7-12 | 58% | 1-2 | 50% | 3-3 | 100% | 2 | 4 | 0 | 1 | 5 | 1 | F | Utah |\n| Derrick Favors | 29 | 14 | 3 | 0 | 7-17 | 41% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 2 | 1 | 0 | F | Utah |\n| Rudy Gobert | 38 | 13 | 18 | 0 | 3-5 | 60% | 0-0 | 0% | 7-10 | 70% | 0 | 1 | 5 | 6 | 12 | 1 | C | Utah |\n| Shelvin Mack | 29 | 12 | 5 | 8 | 4-9 | 44% | 1-2 | 50% | 3-6 | 50% | 2 | 2 | 0 | 1 | 4 | 4 | G | Utah |\n| Trey Lyles | 16 | 9 | 1 | 1 | 4-8 | 50% | 1-4 | 25% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 2 | N/A | Utah |\n| Rodney Hood | 29 | 8 | 5 | 4 | 2-7 | 29% | 1-4 | 25% | 3-5 | 60% | 0 | 2 | 0 | 0 | 5 | 5 | G | Utah |\n| Trevor Booker | 14 | 8 | 3 | 1 | 3-4 | 75% | 1-1 | 100% | 1-2 | 50% | 1 | 2 | 0 | 1 | 2 | 2 | N/A | Utah |\n| Trey Burke | 20 | 5 | 1 | 4 | 2-9 | 22% | 0-5 | 0% | 1-1 | 100% | 1 | 2 | 0 | 1 | 0 | 2 | N/A | Utah |\n| Raul Neto | 13 | 1 | 1 | 1 | 0-3 | 0% | 0-1 | 0% | 1-2 | 50% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Utah |\n| Chris Johnson | 9 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Utah |\n| Joe Ingles | 6 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Utah |\n| Jeff Withey | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |" + } + ] + }, + { + "id": "table_recognition_train_item_34027", + "image": "table_instructV/images/TABMWP_35226.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $580 | 5,200 | 1,400 |\n| $620 | 4,200 | 6,000 |\n| $660 | 3,200 | 10,600 |\n| $700 | 2,200 | 15,200 |\n| $740 | 1,200 | 19,800 |" + } + ] + }, + { + "id": "table_recognition_train_item_117881", + "image": "table_instructV/images/Rotowire_train_table_3283.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Spurs | San Antonio | 123 | 31 | 37 | 28 | 27 | 30 | 43 | 16 | 57 | 88 | 39 | 15 | 5 | | | | |\n| Timberwolves | Minnesota | 101 | 23 | 28 | 25 | 25 | 20 | 33 | 8 | 42 | 78 | 38 | 4 | 15 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Marco Belinelli | 28 | 20 | 2 | 6 | 7-12 | 58% | 4-6 | 67% | 2-2 | 100% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | San Antonio |\n| Kawhi Leonard | 27 | 18 | 3 | 4 | 7-12 | 58% | 0-2 | 0% | 4-5 | 80% | 1 | 3 | 0 | 0 | 3 | 2 | F | San Antonio |\n| Cory Joseph | 33 | 18 | 4 | 5 | 7-10 | 70% | 0-0 | 0% | 4-4 | 100% | 1 | 0 | 0 | 1 | 3 | 0 | G | San Antonio |\n| Boris Diaw | 23 | 17 | 3 | 4 | 6-10 | 60% | 0-2 | 0% | 5-6 | 83% | 1 | 1 | 0 | 0 | 3 | 5 | N/A | San Antonio |\n| Tim Duncan | 19 | 13 | 10 | 5 | 5-11 | 46% | 0-0 | 0% | 3-3 | 100% | 0 | 3 | 2 | 4 | 6 | 4 | F | San Antonio |\n| Danny Green | 28 | 11 | 8 | 3 | 4-9 | 44% | 1-4 | 25% | 2-2 | 100% | 2 | 4 | 1 | 2 | 6 | 3 | G | San Antonio |\n| Matt Bonner | 25 | 10 | 1 | 1 | 4-6 | 67% | 2-3 | 67% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | C | San Antonio |\n| Jeff Ayres | 9 | 6 | 1 | 1 | 3-4 | 75% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 0 | 1 | N/A | San Antonio |\n| Aron Baynes | 20 | 5 | 5 | 0 | 2-2 | 100% | 0-0 | 0% | 1-1 | 100% | 0 | 1 | 2 | 0 | 5 | 3 | N/A | San Antonio |\n| Kyle Anderson | 18 | 3 | 5 | 1 | 1-3 | 33% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 1 | 0 | 5 | 2 | N/A | San Antonio |\n| Austin Daye | 9 | 2 | 1 | 0 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 2 | N/A | San Antonio |\n| Manu Ginobili | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Tony Parker | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Zach LaVine | 42 | 22 | 3 | 10 | 8-15 | 53% | 2-4 | 50% | 4-5 | 80% | 2 | 2 | 0 | 0 | 3 | 4 | G | Minnesota |\n| Shabazz Muhammad | 21 | 20 | 3 | 0 | 7-12 | 58% | 1-2 | 50% | 5-9 | 56% | 0 | 0 | 0 | 3 | 0 | 1 | N/A | Minnesota |\n| Thaddeus Young | 25 | 14 | 1 | 4 | 5-8 | 63% | 0-0 | 0% | 4-6 | 67% | 4 | 1 | 1 | 0 | 1 | 2 | F | Minnesota |\n| Anthony Bennett | 27 | 14 | 10 | 2 | 6-11 | 55% | 0-1 | 0% | 2-2 | 100% | 1 | 0 | 0 | 0 | 10 | 2 | N/A | Minnesota |\n| Gorgui Dieng | 26 | 8 | 7 | 1 | 1-4 | 25% | 0-0 | 0% | 6-6 | 100% | 1 | 1 | 1 | 4 | 3 | 4 | C | Minnesota |\n| Corey Brewer | 24 | 7 | 2 | 3 | 3-10 | 30% | 1-4 | 25% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 3 | G | Minnesota |\n| Glenn Robinson | 12 | 7 | 1 | 0 | 1-4 | 25% | 1-2 | 50% | 4-4 | 100% | 1 | 0 | 0 | 0 | 1 | 1 | N/A | Minnesota |\n| Andrew Wiggins | 34 | 6 | 1 | 0 | 3-13 | 23% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 2 | F | Minnesota |\n| Chase Budinger | 7 | 3 | 1 | 0 | 1-5 | 20% | 1-3 | 33% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Minnesota |\n| Robbie Hummel | 16 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Minnesota |\n| Jeff Adrien | 6 | 0 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 1 | N/A | Minnesota |\n| Nikola Pekovic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Mo Williams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |" + } + ] + }, + { + "id": "table_recognition_train_item_32852", + "image": "table_instructV/images/TABMWP_22922.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Dog | Weight change (oz.) |\n| --- | --- |\n| Sprinkles | 5 |\n| Champ | -6 |" + } + ] + }, + { + "id": "table_recognition_train_item_63302", + "image": "table_instructV/images/TabFact_2-18974097-15.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| school | location | mascot | enrollment | ihsaa class | ihsaa football class | county |\n| --- | --- | --- | --- | --- | --- | --- |\n| cascade | clayton | cadets | 533 | aa | aa | 33 hendricks |\n| cloverdale | cloverdale | clovers | 399 | aa | a | 67 putnam |\n| greencastle | greencastle | tiger cubs | 601 | aaa | aaa | 67 putnam |\n| monrovia | monrovia | bulldogs | 488 | aa | aa | 55 morgan |\n| north putnam | roachdale | cougars | 590 | aaa | aa | 67 putnam |\n| south putnam | putnamville | eagles | 436 | aa | aa | 67 putnam |" + } + ] + }, + { + "id": "table_recognition_train_item_104579", + "image": "table_instructV/images/ToTTo_train_table_19287.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Name | Nat | From | To | P | W | D | L | Win% | Honours |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hossein Sadaghiani | Iran | 15 January 1941 | 5 March 1951 | 3 | 1 | 1 | 1 | 33.33 | |\n| Mostafa Salimi | Iran | 5 March 1951 | 2 April 1952 | 5 | 2 | 2 | 1 | 40.00 | Silver Medal at 1951 Asian Games |\n| József Mészáros | Hungary | 5 December 1957 | 18 December 1959 | 6 | 3 | 1 | 2 | 50.00 | |\n| Hossein Fekri | Iran | 1 June 1961 | 16 March 1966 | 8 | 1 | 4 | 3 | 12.50 | Qualification to 1964 Summer Olympics |\n| György Szűcs | Hungary | 10 September 1966 | 24 November 1967 | 7 | 4 | 0 | 3 | 57.14 | Silver Medal at 1966 Asian Games |\n| Hossein Fekri | Iran | 24 November 1967 | 26 November 1967 | 2 | 1 | 0 | 1 | 50.00 | |\n| Mahmoud Bayati | Iran | 26 November 1967 | 7 March 1969 | 4 | 4 | 0 | 0 | 100.00 | Winner of 1968 Asian Cup |\n| Zdravko Rajkov | Socialist Federal Republic of Yugoslavia | 7 March 1969 | 17 September 1970 | 5 | 4 | 0 | 1 | 80.00 | |\n| Igor Netto | Soviet Union | 4 November 1970 | 10 September 1971 | 3 | 0 | 1 | 2 | 0.00 | |\n| Parviz Dehdari | Iran | 10 September 1971 | 7 May 1972 | 2 | 1 | 0 | 1 | 50.00 | Winner of 1971 Cyrus International Tournament |\n| Mohammad Ranjbar | Iran | 7 May 1972 | 25 June 1972 | 9 | 5 | 1 | 3 | 55.56 | Winner of 1972 Asian Cup |\n| Mahmoud Bayati | Iran | 26 June 1972 | 17 January 1974 | 9 | 5 | 2 | 2 | 55.56 | |\n| Danny McLennan | Scotland | 17 January 1974 | 3 September 1974 | 2 | 1 | 0 | 1 | 50.00 | |\n| Frank O'Farrell | Republic of Ireland | 3 September 1974 | 10 August 1975 | 9 | 7 | 0 | 2 | 77.78 | Gold Medal at 1974 Asian Games Winner of 1974 Iran International Tournament Qualification to 1976 Summer Olympics |\n| Heshmat Mohajerani | Iran | 10 August 1975 | 6 September 1978 | 28 | 15 | 7 | 6 | 53.57 | Winner of 1976 Asian Cup Quarter Finals of 1976 Summer Olympics Qualification to 1978 WC |\n| Hassan Habibi | Iran | 12 March 1979 | 25 February 1982 | 12 | 9 | 2 | 1 | 75.00 | Qualification to 1980 Summer Olympics Third place at 1980 Asian Cup |\n| Jalal Cheraghpour* | Iran | 1 March 1982 | 25 November 1982 | 4 | 2 | 0 | 2 | 50.00 | |\n| Mahmoud Yavari | Iran | 7 August 1984 | 1 December 1984 | 6 | 6 | 0 | 0 | 100.00 | |\n| Nasser Ebrahimi* | Iran | 1 December 1984 | 16 February 1985 | 8 | 2 | 4 | 2 | 25.00 | Fourth place at 1984 Asian Cup |\n| Fereydoun Asgarzadeh | Iran | 11 February 1986 | 21 February 1986 | 2 | 2 | 0 | 0 | 100.00 | Winner at 1986 Fajr International Tournament |\n| Parviz Dehdari | Iran | March 1986 | 22 January 1989 | 20 | 10 | 6 | 4 | 50.00 | Third place at 1988 Asian Cup |\n| Reza Vatankhah | Iran | 22 January 1989 | 17 March 1989 | 3 | 3 | 0 | 0 | 100.00 | |\n| Mehdi Monajati | Iran | 30 May 1989 | 22 July 1989 | 3 | 2 | 0 | 1 | 66.67 | |\n| Ali Parvin | Iran | 1 November 1989 | 28 October 1993 | 34 | 15 | 11 | 8 | 44.12 | Gold Medal at 1990 Asian Games Winner of ECO Cup 1993 |\n| Stanko Poklepović | Croatia | 3 October 1994 | 26 April 1996 | 4 | 1 | 2 | 1 | 25.00 | |\n| Mohammad Mayeli Kohan | Iran | 26 April 1996 | 7 November 1997 | 38 | 23 | 9 | 6 | 60.53 | Third place at 1996 Asian Cup |\n| Valdeir Vieira | Brazil | 16 November 1997 | 28 November 1997 | 3 | 0 | 2 | 1 | 0.00 | Qualification to 1998 WC |\n| Tomislav Ivić | Croatia | 28 November 1997 | 22 April 1998 | 5 | 1 | 2 | 2 | 20.00 | |\n| Jalal Talebi | Iran | 3 June 1998 | 13 October 1998 | 4 | 1 | 0 | 3 | 25.00 | |\n| Mansour Pourheidari | Iran | 13 October 1998 | 22 March 2000 | 17 | 9 | 5 | 3 | 52.94 | Gold Medal at 1998 Asian Games |\n| Jalal Talebi | Iran | 22 March 2000 | 1 January 2001 | 21 | 13 | 5 | 3 | 61.90 | Quarterfinals at 2000 Asian Cup Winner of 2000 WAFF |\n| Ademar Braga | Brazil | 1 January 2001 | 19 January 2001 | 3 | 3 | 0 | 0 | 100.00 | |\n| Miroslav Blažević | Croatia | 24 April 2001 | 6 February 2002 | 19 | 10 | 4 | 5 | 52.63 | |\n| Branko Ivanković | Croatia | 6 February 2002 | 4 February 2003 | 10 | 4 | 4 | 2 | 40.00 | Gold Medal at 2002 Asian Games |\n| Homayoun Shahrokhi* | Iran | 4 February 2003 | 26 September 2003 | 5 | 1 | 1 | 3 | 20.00 | |\n| Branko Ivanković | Croatia | 26 September 2003 | 21 June 2006 | 42 | 29 | 6 | 7 | 69.05 | Winner of 2004 WAFF Third place at 2004 Asian Cup Qualification to 2006 WC |\n| Amir Ghalenoei | Iran | 8 August 2006 | 22 December 2007 | 17 | 10 | 6 | 1 | 58.82 | Quarterfinals at 2007 Asian Cup |\n| Mansour Ebrahimzadeh* | Iran | 10 January 2008 | 20 March 2008 | 3 | 0 | 3 | 0 | 0.00 | |\n| Ali Daei | Iran | 20 March 2008 | 28 March 2009 | 24 | 15 | 6 | 3 | 62.50 | Winner of 2008 WAFF |\n| Erich Rutemöller* | Germany | 28 March 2009 | 22 April 2009 | 1 | 0 | 1 | 0 | 0.00 | |\n| Afshin Ghotbi | Iran | 22 April 2009 | 22 January 2011 | 30 | 16 | 6 | 8 | 53.33 | Quarterfinals at 2011 Asian Cup |\n| Ali Reza Mansourian* | Iran | 22 January 2011 | 4 April 2011 | 1 | 1 | 0 | 0 | 100.00 | |\n| Carlos Queiroz | Portugal | 4 April 2011 | 28 January 2019 | 100 | 60 | 27 | 13 | 60.00 | Qualification to 2014 WC Qualification to 2018 WC Quarterfinals at 2015 Asian Cup Semifinals at 2019 Asian Cup |" + } + ] + }, + { + "id": "table_recognition_train_item_106718", + "image": "table_instructV/images/ToTTo_train_table_28231.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Name | Founded | Defunct | Country | Publisher | Topics | Refs |\n| --- | --- | --- | --- | --- | --- | --- |\n| Ação Games | 1991 | 2002 | Brazil | Editora Abril, Editora Azul | General video gaming | |\n| ACE | 1987 | 1992 | United Kingdom | Future Publishing (1987-1989) EMAP (1989-1992) | Atari ST, Amiga, C64, ZX Spectrum, Amstrad CPC, and newly released machines | |\n| Amiga Action | 1989 | 1996 | United Kingdom | Europress | Amiga games magazine which merged with Amiga Computing in 1996. | |\n| Amiga Force | 1992 | 1994 | United Kingdom | Europress Impact | Amiga games magazine | |\n| Amiga Power | 1991 | 1996 | United Kingdom | Future Publishing | Amiga games magazine | |\n| Amtix | 1985 | 1987 | United Kingdom | Newsfield Publications Ltd. | Amstrad CPC games magazine; merged with Computing With The Amstrad. | |\n| Atari Age | 1982 | 1984 | United States | The Atari Club | Atari related topics | |\n| Bazinama | 2002 | | Iran | ? | Iranian video game magazine | |\n| CD-Action | 1996 | | Poland | Bauer | Video games | |\n| Commodore Force | 1993 | 1994 | United Kingdom | Europress Impact | Commodore 64 games | |\n| Comptiq | 1983 | | Japan | Kadokawa Shoten | multi-media games | |\n| Computer and Video Games | 1981 | 2004 | United Kingdom | Future Publishing | Home computing, arcade games, video games; web-based magazine defunct as of February 2015. | |\n| Electronic Games / Computer Entertainment | 1981 | 1985 | United States | Reese Communications (Previously: Reese Publishing Company [1981-1983]) | Video, computer and arcade games | |\n| Computer Gaming World | 1981 | 2006 | United States | Ziff Davis | PC game topics, occasional console game topics | |\n| Crash | 1983 | 1992 | United Kingdom | Newsfield & Europress | Sinclair Spectrum | |\n| CU Amiga (Previously: Vic Computing [1982-1983]; Commodore User [1983-1990]) | 1983 | 1998 | United Kingdom | EMAP | Commodore computers; started as computer magazine; by 1985 mostly games coverage. | |\n| Dengeki Nintendo (Previously: Dengeki SUPER Famicom [1993-1996]; Dengeki NINTENDO64 [1996-2001]; Dengeki GB Advance [2001]; Dengeki GAMECUBE [2002-2006]; Dengeki Nintendo DS [2006-2012]; Dengeki Nintendo for Kids [2012-2013]) | 1993 | | Japan | Media Works (1993-2008) ASCII Media Works (2008-) | Nintendo related topics | |\n| Dengeki PlayStation | 1995 | | Japan | Media Works (1995-2008) ASCII Media Works (2008-) | PlayStation games | |\n| Diànzǐ Yóuxì Ruǎnjiàn | 1994 | 2012 | People's Republic of China | China Association for Science and Technology | China's first video game magazine. Covered PC and console gaming, anime, music, etc. | |\n| Donya ye Bazi | 2005 | 2014 | Iran | Donyaye Bazi Organization | First Official Iranian Game Magazine | |\n| EDGE | 1993 | | United Kingdom | Future Publishing | Console, PC, Arcade, Mobile games | |\n| Electric Brain | 1989 | 1993 | United Kingdom | Space City Publishing | Console games | |\n| Electronic Gaming Monthly | 1989 | 2009 | United States | Sendai Publishing (1989-1996) Ziff Davis (1996-2009) | Video game journalism | |\n| Electronic Gaming Monthly | 2010 | 2015 | United States | EGM Media | Video game journalism | |\n| Electronic Fun with Computers & Games | 1982 | 1984 | United States | Fun & Games Publishing Inc. | Video, computer and arcade games | |\n| Expert Gamer (Formerly EGM² [1994-1998]) | 1994 | 2001 | United States | Sendai Publishing (1994-1996) Ziff Davis (1996-2001) | video game strategy guides and cheat codes | |\n| Famitsu (Shūkan Famicom Tsūshin (週刊ファミコン通信, \"Weekly Famicom News\") [1991-96] Famicom Tsūshin (ファミコン通信, \"Famicom News\") [86-91] | 1986 | | Japan | ASCII (1986-2000) Enterbrain, Inc.(2000–) | Multiformat video game news | |\n| FUN! Online Games Magazine | 2009 | 2010 | United States | Beckett Media | Children's online games | |\n| Game Developer | 1994 | 2013 | United States | UBM Tech | The premier magazine for working (and aspiring) video game creators | |\n| Game Industry Report Magazine | ? | 2006 | United States | GNB News Group | All aspects of the video game industry in the USA | |\n| GameFan (Formerly Diehard GameFan) | 1992 | 2000 | United States | DieHard Gamers Club (1992-1996) Metropolis Media (1996-1998) Shinno Media (1999-2000) | Video game news –focus on Anime and RPG games, Dave Halverson first video game publication | |\n| Game Informer | 1991 | | United States | Funco (1991-2000) GameStop (2000-present) | Articles, news, strategy, and reviews of video games and associated consoles. | |\n| GameNOW | 2001 | 2004 | United States | Ziff Davis | Spinoff of EGM geared to younger audience | |\n| Game Players | 1989 | 1998 | United States | GP Publications (1989–96) Imagine Publishing (1996–98) | Video game journalism | |\n| GamePro | 1989 | 2011 | United States | IDG (1989-2008) GamePro Media (2008-2011) | General video gaming | |\n| Games for Windows: The Official Magazine | 2006 | 2008 | United States | Ziff Davis | Windows Games in partnership with Microsoft | |\n| GamesMaster | 1993 | 2018 | United Kingdom | Future plc (1993-2003, 2006–) Summit Media (2003-2006) | Multiformat video games | |\n| GameStar | 1997 | | Germany | IDG Entertainment Media (1997-2015) Webedia (2015-) | PC games | |\n| gamesTM | 2002 | 2018 | United Kingdom | Future Publishing | UK-based computer and video games magazine | |\n| Giochi per il mio computer | 1997 | 2010 | Italy | ? | Italian video game magazine | |\n| Hobby Consolas | 1991 | | Spain | First Hobby Press, then Axel Springer | Spanish video game magazine specialized in console gaming | |\n| Hoog Spel | 1990 | 2000 | The Netherlands | Rangeela B.V. | Dutch gaming magazine | |\n| LeveL | 1995 | | Czech Republic | ? | PC, PS3, Xbox 360, Wii, PSP, Nintendo DS | |\n| LeveL | 1997 | | Turkey | ? | Turkish edition of Czech magazine | |\n| MCV | 1998 | | United Kingdom | Future Publishing | business-focused topics of video games | |\n| Micromanía | 1985 | | Spain | HobbyPress (1985-1998) Axel Springer AG (1998-2012) BlueOcean Publishing (2012–present) | PC Games | |\n| MyM | 2012 | 2018 | United Kingdom | MCM Central | 3DS, PC, PS3, PS4, PS Vita, Wii, Xbox 360, Xbox One | |\n| NEXT Generation | 1995 | 2002 | United States | Imagine Media | 32-bit consoles, covers the industry rather than the games themselves | |\n| Nintendo Gamer (Previously: NGamer [2006-2011]) | 2006 | 2012 | United Kingdom | Future Publishing | British magazine covering Nintendo products | |\n| Nintendo Force | 2013 | | United States | MagCloud/NF Publishing LLC | Nintendo games | |\n| Nintendo Fun Club News | 1987 | 1988 | United States | Nintendo of America | Official Nintendo consoles coverage. Started in 1987 as a newsletter; discontinued in favor of Nintendo Power | |\n| Nintendo La Rivista Ufficiale | 2002 | 2013 | Italy | Sprea Media Italy | Italian Nintendo related topics | |\n| Nintendo Magazine System (Australia) | 1993 | 2000 | Australia | Catalyst Publishing | Australian Nintendo related topics | |\n| Nintendo Power | 1988 | 2012 | United States | Nintendo of America (1988-2007) Future U.S. Publishing (2007-2012) | Official Nintendo consoles coverage | |\n| Nintendo World | 1998 | 2017 | Brazil | Editora Tambor | Nintendo related | |\n| Official Dreamcast Magazine (UK) | 1999 | 2001 | United Kingdom | Dennis Publishing | UK Dreamcast related topics | |\n| Official Dreamcast Magazine (US) | 1999 | 2001 | United States | Imagine Media | US Dreamcast related topics | |\n| Official Nintendo Magazine (UK) | 2006 | 2014 | United Kingdom | Future Publishing | UK Nintendo related topics | |\n| Official Nintendo Magazine (Australia) | 2008 | 2013 | Australia, New Zealand | Future Publishing | Australia & New Zealand Nintendo related topics | |\n| Official PlayStation Magazine (Australia) | 2007 | | Australia | Citrus Media | Australian PlayStation related topics | |\n| Official UK PlayStation Magazine | 1995 | 2004 | United Kingdom | Future Plc | UK PlayStation related topics | |\n| Official U.S. PlayStation Magazine | 1997 | 2007 | United States | Ziff Davis | US PlayStation related topics, succeeded by Future's PlayStation: The Official Magazine | |\n| Official Xbox Magazine | 2001 | | United States | Future US | Xbox related topics | |\n| Oyungezer | 2007 | | Turkey | Seti Publishing | PC, PS3, Xbox 360, Wii, PSP, Nintendo DS | |\n| Page 6 | 1982 | 1998 | United Kingdom | Page 6 Publishing | The Atari 8-bit range and Atari ST | |\n| Personal Computer Games | 1983 | 1985 | United Kingdom | VNU | PC games | |\n| PC Gamer | 1993 | | United Kingdom United States | Future Publishing | PC games | |\n| PC Games | 1992 | | Germany | Computec Media AG | PC games | |\n| PC Accelerator | 1998 | 2000 | United States | Imagine Media | Men's magazine-style PC games coverage | |\n| PC Mania | 1998 | 2009 | Bulgaria | PC Mania | PC games | |\n| PC Zone | 1993 | 2010 | United Kingdom | Future plc | PC games | |\n| Pelaaja | 2002 | | Finland | H-Town Oy | Finnish gaming magazine. | |\n| Pelit | 1992 | | Finland | Fokus Media Finland Oy | The oldest and most popular videogame magazine of Finland. | |\n| Planet PC | 1999 | 2001 | United Kingdom | ? | PC games | |\n| Play | 1994 | 2013 | People's Republic of China | Science Popularization Publication | China's first PC-gaming-specific magazine. | |\n| Play Meter | 1974 | 2018 | United States | Skybird Publishing | Coin-op and arcade games. | |\n| Player One | 1990 | 2000 | France | Média Système Édition | Console games | |\n| PlayStation Official Magazine (Italy) (Previously: PlayStation Magazine Ufficiale [-2012]) | 2002 | | Italy | Play Media Company (1996-2012) Lunasia Edizioni (2013-) | Italian PlayStation related topics | |\n| PlayStation Official Magazine (UK) | 2006 | | United Kingdom | Future Publishing | UK PlayStation related topics | |\n| PlayStation: The Official Magazine | 2007 | 2012 | United States | Future US | PlayStation related topics, successor to Ziff Davis' OPM upon discontiuation of PSM | |\n| Power Unlimited | 1993 | | The Netherlands | VNU Media (1993-2007) HUB Uitgevers (2007-2013) Reshift Digital (2013-) | Dutch gaming magazine | |\n| PSM: Independent PlayStation Magazine (PSM: 100% Independent PlayStation 2 Magazine [2000-2005] PSM: 100% Independent PlayStation Magazine [1997-2000]) | 1997 | 2007 | United States | Imagine Media (1998-2003) Future Network USA (2003-2005) Future US (2005-2007) | PlayStation family news | |\n| PSM3 | 2000 | 2012 | United Kingdom | Future Publishing | Sony video game consoles and PlayStation games | |\n| PNM (Pure Nintendo) | 2011 | | United States | MagCloud/Pure Media LLC | All things Nintendo related | |\n| Retro Gamer | 2004 | | United Kingdom | Live Publishing (2004–2005) Imagine Publishing (2005–2016) Future Publishing (2016–) | Retro games from multiple platforms, often via an Emulator | |\n| Secret Service | 1993 | 2001 | Poland | ProScript | A Polish game magazine, Video games - all platforms | |\n| Secret Service | 2014 | 2014 | Poland | Idea-Ahead | A Polish game magazine, Video games - all platforms | |\n| Sega Force | 1992 | 1993 | United Kingdom | Europress Impact | Sega games magazine | |\n| Sega Power | 1989 | 1997 | United Kingdom | ? | ? | |\n| Sega Saturn Magazine | 1994 | 1998 | United Kingdom | ? | ? | |\n| Sega Visions | 1990 | 1995 | United States | Sega of America (1987–89) Sega/The Communique Group (1990–92) Sega/Infotainment World (1992–95) | Official Sega magazine, competed with Nintendo Power | |\n| Sinclair User | 1982 | 1993 | United Kingdom | ? | Sinclair Spectrum | |\n| SKOAR! | 2003 | 2017 | India | Jasubhai Digital Media Pvt. Ltd. | An Indian game magazine | |\n| Świat Gier Komputerowych | 1992 | 2003 | Poland | ? | Polish video game magazine | |\n| The Games Machine | 1988 | | Italy | Aktia | Italian PC Game magazine. PC and Console gaming online. | |\n| Tilt | 1982 | 1994 | France | Editions Mondiales S.A. | PC and Console gaming | |\n| Tips and Tricks | 1995 | 2007 | United States | LFP (Larry Flynt Publications) | Video game strategy guides, codes and walkthroughs | |\n| Total! | 1993 | 2000 | United Kingdom | MVL-Verlag (1993-1995) X-Plain Verlag (1996-2000) | Nintendo games; brand licensed from UK magazine, but independent content | |\n| Videogaming Illustrated | 1982 | 1983 | United States | Ion International, Inc. | Video games | |\n| Xbox World | 2003 | 2012 | United Kingdom | Future Publishing | Xbox video game consoles and Xbox games | |\n| Your Sinclair | 1984 | 1993 | United Kingdom | Dennis Publishing (1984-1990) Future Publishing (1990-1993) | Sinclair Spectrum | |\n| Zzap!64 | 1985 | 1992 | United Kingdom | Newsfield Publications (1985-1991) Europress Impact (1991-1992) | Commodore 64 games | |" + } + ] + }, + { + "id": "table_recognition_train_item_66836", + "image": "table_instructV/images/TabFact_2-12617978-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| series 1 | series 2 | series 3 | series 5 | series 9 | series 11 |\n| --- | --- | --- | --- | --- | --- |\n| peter jones | peter jones | peter jones | peter jones | peter jones | peter jones |\n| simon woodroffe | theo paphitis | theo paphitis | theo paphitis | theo paphitis | piers linney |\n| doug richards | doug richards | deborah meaden | deborah meaden | deborah meaden | deborah meaden |\n| duncan bannatyne | duncan bannatyne | duncan bannatyne | duncan bannatyne | duncan bannatyne | duncan bannatyne |\n| rachel elnaugh | rachel elnaugh | richard farleigh | james caan | hilary devey | kelly hoppen |" + } + ] + }, + { + "id": "table_recognition_train_item_111843", + "image": "table_instructV/images/Rotowire_train_table_264.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wizards | Washington | 109 | 28 | 31 | 27 | 23 | 26 | 38 | 14 | 51 | 87 | 45 | 11 | 14 | | | | |\n| Hornets | Charlotte | 101 | 27 | 26 | 22 | 26 | 23 | 51 | 17 | 42 | 81 | 30 | 15 | 11 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| John Wall | 42 | 27 | 4 | 12 | 10-21 | 48% | 2-5 | 40% | 5-6 | 83% | 3 | 8 | 1 | 0 | 4 | 1 | G | Washington |\n| Garrett Temple | 35 | 21 | 5 | 3 | 7-9 | 78% | 2-3 | 67% | 5-7 | 71% | 2 | 1 | 0 | 0 | 5 | 2 | G | Washington |\n| Jared Dudley | 41 | 19 | 9 | 4 | 7-10 | 70% | 3-5 | 60% | 2-2 | 100% | 2 | 0 | 0 | 0 | 9 | 3 | F | Washington |\n| Marcin Gortat | 38 | 18 | 6 | 1 | 7-16 | 44% | 0-0 | 0% | 4-4 | 100% | 1 | 4 | 2 | 3 | 3 | 1 | C | Washington |\n| Kelly Oubre Jr. | 22 | 8 | 5 | 0 | 3-5 | 60% | 2-2 | 100% | 0-0 | 0% | 0 | 0 | 1 | 1 | 4 | 4 | F | Washington |\n| Ramon Sessions | 23 | 7 | 5 | 1 | 3-8 | 38% | 0-1 | 0% | 1-1 | 100% | 0 | 0 | 0 | 1 | 4 | 1 | N/A | Washington |\n| Kris Humphries | 16 | 5 | 4 | 0 | 2-3 | 67% | 0-0 | 0% | 1-1 | 100% | 0 | 0 | 0 | 0 | 4 | 1 | N/A | Washington |\n| Gary Neal | 22 | 4 | 0 | 5 | 1-7 | 14% | 0-4 | 0% | 2-2 | 100% | 2 | 1 | 0 | 0 | 0 | 1 | N/A | Washington |\n| Otto Porter | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| DeJuan Blair | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Drew Gooden | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Ryan Hollins | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Kemba Walker | 41 | 18 | 3 | 2 | 6-18 | 33% | 1-7 | 14% | 5-5 | 100% | 3 | 4 | 0 | 0 | 3 | 3 | G | Charlotte |\n| Jeremy Lin | 36 | 15 | 6 | 7 | 6-13 | 46% | 2-2 | 100% | 1-1 | 100% | 0 | 3 | 0 | 1 | 5 | 2 | N/A | Charlotte |\n| Nicolas Batum | 32 | 14 | 6 | 8 | 5-12 | 42% | 1-7 | 14% | 3-4 | 75% | 3 | 4 | 1 | 0 | 6 | 1 | G | Charlotte |\n| Cody Zeller | 26 | 11 | 7 | 0 | 5-9 | 56% | 0-0 | 0% | 1-2 | 50% | 1 | 1 | 1 | 4 | 3 | 3 | C | Charlotte |\n| PJ Hairston | 19 | 10 | 6 | 2 | 3-6 | 50% | 2-3 | 67% | 2-2 | 100% | 0 | 1 | 0 | 3 | 3 | 1 | F | Charlotte |\n| Marvin Williams | 34 | 9 | 9 | 1 | 4-14 | 29% | 1-5 | 20% | 0-0 | 0% | 1 | 1 | 1 | 6 | 3 | 3 | F | Charlotte |\n| Spencer Hawes | 18 | 9 | 4 | 2 | 4-8 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 1 | 3 | 1 | N/A | Charlotte |\n| Jeremy Lamb | 12 | 9 | 4 | 0 | 4-8 | 50% | 1-4 | 25% | 0-0 | 0% | 0 | 0 | 0 | 1 | 3 | 3 | N/A | Charlotte |\n| Frank Kaminsky | 19 | 6 | 5 | 1 | 2-4 | 50% | 1-3 | 33% | 1-2 | 50% | 0 | 0 | 1 | 2 | 3 | 2 | N/A | Charlotte |\n| Tyler Hansbrough | 4 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 1 | N/A | Charlotte |\n| Al Jefferson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Troy Daniels | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Brian Roberts | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |" + } + ] + }, + { + "id": "table_recognition_train_item_69864", + "image": "table_instructV/images/TabFact_2-16710965-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | september 7 , 1980 | minnesota vikings | l 24 - 23 | 44773 |\n| 2 | september 14 , 1980 | new england patriots | w 37 - 21 | 48321 |\n| 3 | september 21 , 1980 | miami dolphins | l 20 - 17 | 55470 |\n| 4 | september 28 , 1980 | san francisco 49ers | w 20 - 17 | 56518 |\n| 5 | october 5 , 1980 | detroit lions | w 43 - 28 | 57652 |\n| 6 | october 12 , 1980 | new york jets | l 14 - 7 | 57458 |\n| 7 | october 19 , 1980 | new orleans saints | w 41 - 14 | 62651 |\n| 8 | october 26 , 1980 | los angeles rams | w 13 - 10 | 57401 |\n| 9 | november 2 , 1980 | buffalo bills | w 30 - 14 | 57959 |\n| 10 | november 9 , 1980 | st louis cardinals | w 33 - 27 | 48662 |\n| 11 | november 16 , 1980 | new orleans saints | w 31 - 13 | 53871 |\n| 12 | november 23 , 1980 | chicago bears | w 28 - 17 | 49156 |\n| 13 | november 30 , 1980 | washington redskins | w 10 - 6 | 55665 |\n| 14 | december 7 , 1980 | philadelphia eagles | w 20 - 17 | 70205 |\n| 15 | december 14 , 1980 | san francisco 49ers | w 35 - 10 | 55767 |\n| 16 | december 21 , 1980 | los angeles rams | l 20 - 17 | 62469 |" + } + ] + }, + { + "id": "table_recognition_train_item_117939", + "image": "table_instructV/images/Rotowire_train_table_3312.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hawks | Atlanta | 102 | 30 | 21 | 21 | 30 | 23 | 53 | 11 | 41 | 77 | 19 | 1 | 0 | | | | |\n| Celtics | Boston | 101 | 19 | 15 | 31 | 36 | 27 | 50 | 10 | 36 | 84 | 31 | 0 | 1 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hawks | | | | | | | | | | | | | | | | | | |\n| Al Horford | 37 | 24 | 12 | 2 | 8-17 | 47% | 1-2 | 50% | 7-8 | 88% | 0 | 2 | 2 | 5 | 7 | 3 | C | Atlanta |\n| Kent Bazemore | 34 | 23 | 8 | 0 | 7-13 | 54% | 1-5 | 20% | 8-10 | 80% | 1 | 0 | 2 | 0 | 8 | 0 | F | Atlanta |\n| Jeff Teague | 36 | 23 | 4 | 12 | 7-15 | 47% | 0-2 | 0% | 9-11 | 82% | 1 | 2 | 0 | 1 | 3 | 4 | G | Atlanta |\n| Mike Scott | 18 | 14 | 5 | 0 | 6-9 | 67% | 2-4 | 50% | 0-0 | 0% | 0 | 1 | 0 | 3 | 2 | 3 | N/A | Atlanta |\n| Paul Millsap | 37 | 14 | 7 | 3 | 6-11 | 55% | 1-2 | 50% | 1-1 | 100% | 1 | 0 | 3 | 2 | 5 | 2 | F | Atlanta |\n| Thabo Sefolosha | 22 | 2 | 7 | 2 | 0-3 | 0% | 0-1 | 0% | 2-4 | 50% | 1 | 3 | 1 | 1 | 6 | 2 | N/A | Atlanta |\n| Kyle Korver | 32 | 2 | 9 | 1 | 1-10 | 10% | 0-7 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 8 | 2 | G | Atlanta |\n| Tim Hardaway Jr. | 8 | 0 | 0 | 0 | 0-2 | 0% | 0-1 | 0% | 0-1 | 0% | 0 | 0 | 1 | 0 | 0 | 1 | N/A | Atlanta |\n| Kirk Hinrich | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Atlanta |\n| Dennis Schroder | 11 | 0 | 0 | 2 | 0-6 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 2 | N/A | Atlanta |\n| Mike Muscala | 4 | 0 | 1 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Atlanta |\n| Kris Humphries | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Lamar Patterson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Isaiah Thomas | 37 | 27 | 3 | 8 | 8-21 | 38% | 4-10 | 40% | 7-9 | 78% | 1 | 3 | 1 | 1 | 2 | 4 | G | Boston |\n| Avery Bradley | 33 | 18 | 3 | 1 | 7-16 | 44% | 1-7 | 14% | 3-3 | 100% | 1 | 1 | 1 | 2 | 1 | 2 | G | Boston |\n| Marcus Smart | 29 | 15 | 5 | 2 | 5-10 | 50% | 3-6 | 50% | 2-3 | 67% | 2 | 1 | 1 | 3 | 2 | 4 | N/A | Boston |\n| Jae Crowder | 33 | 14 | 10 | 4 | 5-16 | 31% | 2-7 | 29% | 2-2 | 100% | 0 | 2 | 0 | 1 | 9 | 4 | F | Boston |\n| Evan Turner | 34 | 10 | 8 | 5 | 4-13 | 31% | 0-1 | 0% | 2-2 | 100% | 1 | 1 | 1 | 3 | 5 | 3 | N/A | Boston |\n| Jared Sullinger | 19 | 9 | 6 | 3 | 4-14 | 29% | 1-1 | 100% | 0-0 | 0% | 1 | 0 | 0 | 2 | 4 | 6 | C | Boston |\n| Amir Johnson | 22 | 4 | 8 | 1 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 2 | 2 | 6 | 4 | F | Boston |\n| Kelly Olynyk | 12 | 2 | 1 | 1 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 0 | 2 | N/A | Boston |\n| Jonas Jerebko | 17 | 2 | 5 | 2 | 1-6 | 17% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 5 | 3 | N/A | Boston |\n| RJ Hunter | 3 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Boston |\n| Terry Rozier | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Jordan Mickey | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Tyler Zeller | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |" + } + ] + }, + { + "id": "table_recognition_train_item_31026", + "image": "table_instructV/images/TABMWP_3273.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 13 | 1 |\n| 14 | 9 |\n| 15 | 18 |" + } + ] + }, + { + "id": "table_recognition_train_item_103168", + "image": "table_instructV/images/ToTTo_train_table_13301.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Station | City of license | Channels | First air date | Second and third letters of callsign meaning | ERP | HAAT | Facility ID | Transmitter Coordinates |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| KFME | Fargo | Digital: 13 (VHF) Virtual: 13 (PSIP) | January 19, 1964 | Fargo- Moorhead | 56.2 kW | 342 m | 53321 | 47°0′45″N 97°11′41″W / 47.01250°N 97.19472°W |\n| KGFE | Grand Forks | Digital: 15 (UHF) Virtual: 2 (PSIP) | September 9, 1974 | Grand Forks | 22.6 kW | 186.1 m | 53320 | 47°58′38″N 96°36′18″W / 47.97722°N 96.60500°W |\n| KBME-TV1 | Bismarck | Digital: 22 (UHF) Virtual: 3 (PSIP) | June 18, 1979 | Bismarck- Mandan | 97.3 kW | 392 m | 53324 | 46°35′23″N 100°48′2″W / 46.58972°N 100.80056°W |\n| KSRE | Minot | Digital: 15 (UHF) Virtual: 6 (PSIP) | January 25, 1980 | Souris River | 146 kW | 249.4 m | 53313 | 48°3′2″N 101°23′25″W / 48.05056°N 101.39028°W |\n| KDSE | Dickinson | Digital: 9 (VHF) Virtual: 9 (PSIP) | August 4, 1982 | Dickinson/ Stark County | 8.35 kW | 243.5 m | 53329 | 46°43′35″N 102°54′57″W / 46.72639°N 102.91583°W |\n| KWSE | Williston | Digital: 11 (VHF) Virtual: 4 (PSIP) | April 8, 1983 | WilliSton | 84.9 kW | 278 m | 53318 | 48°8′30″N 103°53′34″W / 48.14167°N 103.89278°W |\n| KJRE | Ellendale | Digital: 20 (UHF) Virtual: 19 (PSIP) | May 19922 | James River | 72.3 kW | 162.5 m | 53315 | 46°17′56″N 98°51′56″W / 46.29889°N 98.86556°W |\n| KCGE-DT | Crookston, MN (East Grand Forks/Grand Forks) | Digital: 16 (UHF) Virtual: 16 (PSIP) | 2003 | Crookston/ Grand Forks/ East Grand Forks | 105 kW | 219.6 m | 132606 | 47°58′38″N 96°36′18″W / 47.97722°N 96.60500°W |\n| KMDE | Devils Lake | Digital: 25 (UHF) Virtual: 25 (PSIP) | 2006 | Minnewaukan- Devils Lake | 134 kW | 244.5 m | 162016 | 48°3′47.8″N 99°20′8.7″W / 48.063278°N 99.335750°W |" + } + ] + }, + { + "id": "table_recognition_train_item_55880", + "image": "table_instructV/images/TabFact_1-15869204-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 45 | february 1 | la lakers | l 83 - 84 (ot) | vince carter (27) | chris bosh (14) | morris peterson (4) | air canada centre 20116 | 21 - 24 |\n| 46 | february 3 | philadelphia | w 93 - 80 (ot) | vince carter (33) | donyell marshall (14) | jalen rose (5) | wachovia center 19049 | 22 - 24 |\n| 47 | february 4 | orlando | w 110 - 90 (ot) | donyell marshall (32) | jérôme moïso (12) | vince carter (9) | air canada centre 16228 | 23 - 24 |\n| 48 | february 6 | indiana | l 77 - 83 (ot) | donyell marshall (24) | jérôme moïso (11) | vince carter (6) | air canada centre 19311 | 23 - 25 |\n| 49 | february 8 | golden state | w 84 - 81 (ot) | vince carter (22) | donyell marshall (13) | vince carter (4) | the arena in oakland 16873 | 24 - 25 |\n| 50 | february 10 | phoenix | w 101 - 94 (ot) | vince carter (29) | donyell marshall (11) | vince carter (6) | america west arena 14138 | 25 - 25 |\n| 51 | february 12 | seattle | l 74 - 94 (ot) | alvin williams (20) | donyell marshall (17) | vince carter (7) | keyarena 14239 | 25 - 26 |\n| 52 | february 17 | chicago | l 73 - 75 (ot) | vince carter (21) | donyell marshall (24) | alvin williams (6) | united center 17822 | 25 - 27 |\n| 53 | february 18 | san antonio | l 82 - 86 (ot) | vince carter (22) | donyell marshall (11) | vince carter (6) | air canada centre 17119 | 25 - 28 |\n| 54 | february 20 | new jersey | l 72 - 91 (ot) | donyell marshall (17) | donyell marshall (13) | alvin williams (6) | air canada centre 19301 | 25 - 29 |\n| 55 | february 22 | sacramento | l 81 - 96 (ot) | chris bosh (20) | donyell marshall (13) | alvin williams (9) | air canada centre 19800 | 25 - 30 |\n| 56 | february 24 | new jersey | l 74 - 86 (ot) | roger mason (18) | jérôme moïso , morris peterson (6) | milt palacio (5) | continental airlines arena 12829 | 25 - 31 |\n| 57 | february 25 | washington | l 74 - 76 (ot) | donyell marshall (20) | chris bosh (9) | roger mason (6) | air canada centre 17291 | 25 - 32 |\n| 58 | february 27 | boston | l 75 - 88 (ot) | donyell marshall (19) | donyell marshall (13) | roger mason , milt palacio (4) | fleetcenter 16681 | 25 - 33 |" + } + ] + }, + { + "id": "table_recognition_train_item_34451", + "image": "table_instructV/images/TABMWP_3280.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of roofs | Number of parakeets |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_54674", + "image": "table_instructV/images/TabFact_1-14009909-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| district | counties represented | delegate | party | first elected | committee |\n| --- | --- | --- | --- | --- | --- |\n| 09.1 9a | howard | bates , gail h gail h bates | republican | 2002 | appropriations |\n| 09.1 9a | howard | miller , warren e warren e miller | republican | 2003 | economic matters |\n| 12.1 12a | baltimore county , howard | deboy , steven j sr steven j deboy , sr | democratic | 2002 | appropriations |\n| 12.1 12a | baltimore county , howard | malone , james e jr james e malone , jr | democratic | 1994 | environmental matters (vice - chair) |\n| 12.2 12b | howard | bobo , elizabeth elizabeth bobo | democratic | 1994 | environmental matters |\n| 13 | howard | pendergrass , shane e shane pendergrass | democratic | 1994 | health and government operations |\n| 13 | howard | guzzone , guy guy guzzone | democratic | 2006 | appropriations |" + } + ] + }, + { + "id": "table_recognition_train_item_115307", + "image": "table_instructV/images/Rotowire_train_table_1996.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wizards | Washington | 103 | 31 | 19 | 20 | 22 | 23 | 58 | 9 | 38 | 77 | 23 | 29 | 14 | | | | |\n| Thunder | Oklahoma City | 105 | 26 | 12 | 28 | 26 | 21 | 57 | 10 | 39 | 83 | 21 | 22 | 20 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| Nene | 34 | 24 | 4 | 3 | 9-14 | 64% | 0-1 | 0% | 6-9 | 67% | 0 | 0 | 0 | 0 | 4 | 3 | F | Washington |\n| John Wall | 44 | 18 | 6 | 13 | 6-17 | 35% | 2-6 | 33% | 4-4 | 100% | 4 | 3 | 0 | 0 | 6 | 5 | G | Washington |\n| Paul Pierce | 37 | 14 | 12 | 2 | 5-13 | 39% | 2-9 | 22% | 2-2 | 100% | 2 | 0 | 0 | 4 | 8 | 2 | F | Washington |\n| Bradley Beal | 42 | 14 | 8 | 2 | 5-21 | 24% | 2-9 | 22% | 2-2 | 100% | 1 | 3 | 0 | 4 | 4 | 1 | G | Washington |\n| Marcin Gortat | 37 | 10 | 6 | 0 | 5-9 | 56% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 3 | 1 | 5 | 3 | C | Washington |\n| Kevin Seraphin | 11 | 9 | 2 | 0 | 4-9 | 44% | 0-0 | 0% | 1-1 | 100% | 0 | 0 | 0 | 2 | 0 | 3 | N/A | Washington |\n| Rasual Butler | 25 | 9 | 6 | 0 | 3-8 | 38% | 1-3 | 33% | 2-2 | 100% | 1 | 2 | 0 | 0 | 6 | 1 | N/A | Washington |\n| Kris Humphries | 19 | 4 | 9 | 0 | 1-3 | 33% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 2 | 7 | 2 | N/A | Washington |\n| Otto Porter | 7 | 1 | 1 | 1 | 0-2 | 0% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Washington |\n| Andre Miller | 9 | 0 | 4 | 2 | 0-4 | 0% | 0-0 | 0% | 0-2 | 0% | 0 | 0 | 0 | 0 | 4 | 0 | N/A | Washington |\n| Garrett Temple | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Martell Webster | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Drew Gooden | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Kevin Durant | 45 | 34 | 7 | 3 | 10-23 | 44% | 4-10 | 40% | 10-11 | 91% | 0 | 3 | 1 | 0 | 7 | 1 | F | Oklahoma City |\n| Russell Westbrook | 42 | 32 | 8 | 8 | 12-28 | 43% | 0-4 | 0% | 8-10 | 80% | 1 | 3 | 0 | 2 | 6 | 4 | G | Oklahoma City |\n| Anthony Morrow | 28 | 10 | 2 | 1 | 4-9 | 44% | 1-3 | 33% | 1-1 | 100% | 1 | 0 | 0 | 1 | 1 | 2 | N/A | Oklahoma City |\n| Dion Waiters | 34 | 8 | 4 | 1 | 4-12 | 33% | 0-4 | 0% | 0-0 | 0% | 1 | 1 | 0 | 1 | 3 | 0 | N/A | Oklahoma City |\n| Serge Ibaka | 28 | 7 | 5 | 1 | 3-11 | 27% | 1-4 | 25% | 0-0 | 0% | 0 | 2 | 0 | 1 | 4 | 2 | F | Oklahoma City |\n| Steven Adams | 39 | 6 | 20 | 2 | 3-7 | 43% | 0-0 | 0% | 0-1 | 0% | 0 | 0 | 2 | 4 | 16 | 5 | C | Oklahoma City |\n| Kendrick Perkins | 14 | 6 | 6 | 0 | 3-4 | 75% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 2 | 4 | 5 | N/A | Oklahoma City |\n| Nick Collison | 5 | 2 | 1 | 0 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 0 | N/A | Oklahoma City |\n| Andre Roberson | 16 | 0 | 3 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 3 | 1 | G | Oklahoma City |\n| Reggie Jackson | 14 | 0 | 1 | 5 | 0-6 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 1 | 1 | N/A | Oklahoma City |\n| Jeremy Lamb | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Perry Jones III | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Ish Smith | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |" + } + ] + }, + { + "id": "table_recognition_train_item_56234", + "image": "table_instructV/images/TabFact_2-143562-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| rank | nation | gold | silver | bronze | total |\n| --- | --- | --- | --- | --- | --- |\n| 1 | norway (host nation) | 7 | 3 | 6 | 16 |\n| 2 | united states | 4 | 6 | 1 | 11 |\n| 3 | finland | 3 | 4 | 2 | 9 |\n| 4 | germany | 3 | 2 | 2 | 7 |\n| 5 | austria | 2 | 4 | 2 | 8 |\n| 6 | canada | 1 | 0 | 1 | 2 |\n| 6 | italy | 1 | 0 | 1 | 2 |\n| 8 | great britain | 1 | 0 | 0 | 1 |\n| 9 | netherlands | 0 | 3 | 0 | 3 |\n| 10 | sweden | 0 | 0 | 4 | 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_58228", + "image": "table_instructV/images/TabFact_2-1252146-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| year | entrant | chassis | engine | points |\n| --- | --- | --- | --- | --- |\n| 1955 | ray crawford | kurtis kraft 500b | offenhauser l4 | 0 |\n| 1956 | ray crawford | kurtis kraft 500b | offenhauser l4 | 0 |\n| 1957 | meguiar 's mirror / crawford | kurtis kraft 500 g | offenhauser l4 | 0 |\n| 1958 | meguiar 's mirror / crawford | kurtis kraft 500 g | offenhauser l4 | 0 |\n| 1959 | meguiar 's mirror / crawford | elder | offenhauser l4 | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_54320", + "image": "table_instructV/images/TabFact_2-1094987-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| goal | date | venue | score | result | competition |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 16 february 2000 | macau , china | 9 - 0 | won | asian cup 2000 qual |\n| 2 | 11 june 2000 | miyagi , japan | 1 - 1 | draw | friendly |\n| 3 | 16 august 2000 | hiroshima , japan | 3 - 1 | won | friendly |\n| 4 | 2 may 2002 | kobe , japan | 3 - 3 | draw | friendly |\n| 5 | 2 may 2002 | kobe , japan | 3 - 3 | draw | friendly |\n| 6 | 28 march 2003 | tokyo , japan | 2 - 2 | draw | friendly |\n| 7 | 18 june 2003 | paris , france | 3 - 0 | won | confederations cup 2003 group stage |\n| 8 | 18 june 2003 | paris , france | 3 - 0 | won | confederations cup 2003 group stage |\n| 9 | 20 june 2003 | saint - étienne , france | 1 - 2 | lost | confederations cup 2003 group stage |\n| 10 | 9 june 2004 | saitama , japan | 7 - 0 | won | world cup 2006 qual |\n| 11 | 20 july 2004 | chongqing , china | 1 - 0 | won | asian cup 2004 group stage |\n| 12 | 24 july 2004 | chongqing , china | 4 - 1 | won | asian cup 2004 group stage |\n| 13 | 22 june 2005 | cologne , germany | 2 - 2 | draw | confederations cup 2005 group stage |\n| 14 | 7 september 2005 | miyagi , japan | 5 - 4 | won | friendly |\n| 15 | 8 october 2005 | riga , latvia | 2 - 2 | draw | friendly |\n| 16 | 12 june 2006 | kaiserslautern , germany | 1 - 3 | lost | world cup 2006 group stage |\n| 17 | 13 july 2007 | hanoi , vietnam | 3 - 1 | won | 2007 afc asian cup group stage |\n| 18 | 16 july 2007 | hanoi , vietnam | 4 - 1 | won | 2007 afc asian cup group stage |\n| 19 | 11 september 2007 | klagenfurt , austria | 4 - 3 | won | friendly |\n| 20 | 11 september 2007 | klagenfurt , austria | 4 - 3 | won | friendly |\n| 21 | 2 june 2008 | yokohama , japan | 3 - 0 | won | world cup 2010 qual |\n| 22 | 6 september 2008 | riffa , bahrain | 3 - 2 | won | world cup 2010 qual |\n| 23 | 28 march 2009 | saitama , japan | 1 - 0 | won | world cup 2010 qual |\n| 24 | 18 november 2009 | hong kong stadium , hong kong | 4 - 0 | won | 2011 afc asian cup qualification |" + } + ] + }, + { + "id": "table_recognition_train_item_114871", + "image": "table_instructV/images/Rotowire_train_table_1778.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bucks | Milwaukee | 90 | 31 | 22 | 20 | 17 | 26 | 45 | 13 | 44 | 54 | 31 | 38 | 39 | | | | |\n| Magic | Orlando | 97 | 22 | 29 | 21 | 25 | 23 | 45 | 12 | 47 | 69 | 38 | 24 | 53 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Bucks | | | | | | | | | | | | | | | | | | |\n| Ersan Ilyasova | 27 | 18 | 8 | 2 | 7-13 | 54% | 2-2 | 100% | 2-5 | 40% | 0 | 1 | 0 | 3 | 5 | 2 | F | Milwaukee |\n| Khris Middleton | 34 | 15 | 3 | 2 | 6-16 | 38% | 0-3 | 0% | 3-4 | 75% | 3 | 0 | 0 | 0 | 3 | 4 | G | Milwaukee |\n| O.J. Mayo | 32 | 14 | 2 | 1 | 6-10 | 60% | 2-5 | 40% | 0-1 | 0% | 0 | 2 | 1 | 0 | 2 | 3 | N/A | Milwaukee |\n| John Henson | 25 | 10 | 8 | 4 | 5-9 | 56% | 0-0 | 0% | 0-1 | 0% | 0 | 1 | 3 | 5 | 3 | 1 | N/A | Milwaukee |\n| Giannis Antetokounmpo | 28 | 8 | 3 | 0 | 3-12 | 25% | 0-0 | 0% | 2-2 | 100% | 0 | 2 | 1 | 0 | 3 | 5 | F | Milwaukee |\n| Michael Carter-Williams | 34 | 8 | 10 | 9 | 4-14 | 29% | 0-1 | 0% | 0-0 | 0% | 2 | 4 | 0 | 3 | 7 | 2 | G | Milwaukee |\n| Jared Dudley | 22 | 7 | 2 | 0 | 3-4 | 75% | 1-2 | 50% | 0-0 | 0% | 1 | 1 | 1 | 0 | 2 | 1 | N/A | Milwaukee |\n| Jerryd Bayless | 16 | 6 | 4 | 2 | 3-7 | 43% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 3 | 0 | N/A | Milwaukee |\n| Zaza Pachulia | 23 | 4 | 5 | 6 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 2 | 3 | 1 | C | Milwaukee |\n| Miles Plumlee | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Tyler Ennis | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Johnny O'Bryant III | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Tobias Harris | 41 | 23 | 10 | 2 | 8-15 | 53% | 5-9 | 56% | 2-3 | 67% | 1 | 2 | 3 | 1 | 9 | 0 | F | Orlando |\n| Nikola Vucevic | 34 | 20 | 7 | 5 | 10-17 | 59% | 0-0 | 0% | 0-1 | 0% | 0 | 3 | 0 | 2 | 5 | 5 | C | Orlando |\n| Victor Oladipo | 37 | 15 | 6 | 2 | 6-19 | 32% | 1-5 | 20% | 2-3 | 67% | 2 | 2 | 1 | 0 | 6 | 2 | G | Orlando |\n| Aaron Gordon | 29 | 10 | 12 | 1 | 5-6 | 83% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 2 | 4 | 8 | 0 | N/A | Orlando |\n| Elfrid Payton | 40 | 10 | 3 | 11 | 4-11 | 36% | 1-2 | 50% | 1-1 | 100% | 3 | 3 | 1 | 1 | 2 | 3 | G | Orlando |\n| Willie Green | 25 | 10 | 0 | 1 | 3-10 | 30% | 1-3 | 33% | 3-3 | 100% | 1 | 1 | 0 | 0 | 0 | 1 | N/A | Orlando |\n| Dewayne Dedmon | 20 | 5 | 5 | 0 | 2-3 | 67% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 3 | 4 | 1 | 1 | F | Orlando |\n| Andrew Nicholson | 15 | 4 | 2 | 1 | 2-5 | 40% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Orlando |\n| Ben Gordon | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Channing Frye | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Kyle O'Quinn | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Maurice Harkless | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Luke Ridnour | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |" + } + ] + }, + { + "id": "table_recognition_train_item_34379", + "image": "table_instructV/images/TABMWP_1107.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Number of tool sheds | Number of flashlights |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | 10 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_31394", + "image": "table_instructV/images/TABMWP_7160.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Employee | Pay period | |\n| --- | --- |\n| Mackenzie Floyd | September 16-30 | |\n| Total earnings | | $1,274.00 |\n| Federal income tax | $144.90 | |\n| State income tax | $74.53 | |\n| Other taxes | $97.46 | |\n| Total taxes | | ? |\n| Pay after taxes | | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_31622", + "image": "table_instructV/images/TABMWP_9444.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Number of laundry baskets | Number of pairs of shorts |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_55524", + "image": "table_instructV/images/TabFact_2-12518301-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| rider | matches | rides | bonus pts | total points |\n| --- | --- | --- | --- | --- |\n| eric boocock | 34 | 145 | 15 | 342 |\n| dave younghusband | 33 | 143 | 15 | 324 |\n| eric boothroyd | 34 | 137 | 25 | 274 |\n| tommy roper | 15 | 56 | 19 | 102 |\n| bryan elliott | 33 | 125 | 39 | 197 |\n| dennis gavros | 23 | 76 | 20 | 92 |\n| bert kingston | 34 | 111 | 15 | 114 |\n| ray day | 7 | 19 | 3 | 19 |\n| clive hitch | 18 | 64 | 14 | 60 |\n| bob jameson | 7 | 15 | 2 | 11 |" + } + ] + }, + { + "id": "table_recognition_train_item_65400", + "image": "table_instructV/images/TabFact_2-14946285-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| outcome | date | tournament | surface | partner | opponents | score |\n| --- | --- | --- | --- | --- | --- | --- |\n| winner | 26 november 1978 | christchurch , new zealand | grass | lesley hunt | katja ebbinghaus sylvia hanika | 6 - 1 , 7 - 5 |\n| runner - up | 7 january 1979 | washington dc , usa | carpet | renée richards | mima jaušovec virginia ruzici | 6 - 4 , 2 - 6 , 4 - 6 |\n| winner | 28 september 1980 | atlanta , georgia , usa | clay | barbara potter | kathy jordan anne smith | 6 - 3 , 6 - 1 |\n| winner | 9 november 1980 | hong kong | clay | wendy turnbull | penny johnson silvana urroz | 6 - 1 , 6 - 2 |\n| runner - up | 14 december 1980 | adelaide , australia | grass | sue barker | pam shriver betty stöve | 4 - 6 , 3 - 6 |\n| winner | 18 january 1981 | kansas city , missouri , usa | carpet | barbara potter | rosie casals wendy turnbull | 6 - 2 , 7 - 6 |\n| runner - up | 1 february 1981 | chicago , illinois , usa | carpet | barbara potter | martina navrátilová pam shriver | 3 - 6 , 1 - 6 |\n| winner | 22 march 1981 | boston , massachusetts , usa | carpet | barbara potter | joanne russell virginia ruzici | 6 - 7 , 6 - 4 , 6 - 3 |\n| runner - up | 10 may 1981 | tokyo , japan | carpet | barbara potter | sue barker ann kiyomura | 5 - 7 , 2 - 6 |\n| winner | 8 november 1981 | hong kong | clay | ann kiyomura | anne hobbs susan leo | 6 - 3 , 6 - 4 |\n| winner | 22 november 1981 | perth , australia | grass | barbara potter | betsy nagelsen candy reynolds | 6 - 4 , 6 - 2 |\n| winner | 14 february 1982 | kansas city , missouri , usa | carpet | barbara potter | mary - lou daniels anne smith | 4 - 6 , 6 - 2 , 6 - 2 |\n| runner - up | 21 february 1982 | houston , texas , usa | carpet | sue barker | kathy jordan pam shriver | 6 - 7 , 2 - 6 |\n| winner | 28 february 1982 | oakland , california , usa | carpet | barbara potter | kathy jordan pam shriver | 6 - 1 , 3 - 6 , 7 - 6 |\n| runner - up | 7 march 1982 | los angeles , california , usa | carpet | barbara potter | kathy jordan anne smith | 3 - 6 , 5 - 7 |\n| runner - up | 25 april 1982 | amelia island , florida , usa | carpet | barbara potter | leslie allen mima jaušovec | 1 - 6 , 5 - 7 |\n| runner - up | 22 august 1982 | canadian open , canada | hard | barbara potter | martina navratilova candy reynolds | 4 - 6 , 4 - 6 |\n| winner | 29 august 1982 | mahwah , hawaii , usa | hard | barbara potter | rosie casals wendy turnbull | 6 - 1 , 6 - 4 |\n| runner - up | 12 september 1982 | us open , usa | hard | barbara potter | rosie casals wendy turnbull | 6 - 1 , 6 - 4 |\n| runner - up | 3 october 1982 | us indoors , usa | carpet | barbara potter | rosie casals wendy turnbull | 6 - 1 , 6 - 4 |\n| winner | 10 october 1982 | deerfield beach , florida , usa | hard | barbara potter | rosie casals wendy turnbull | 7 - 6 , 7 - 6 |\n| runner - up | 1 november 1982 | brighton , england | carpet | barbara potter | martina navrátilová pam shriver | 6 - 2 , 5 - 7 , 4 - 6 |\n| winner | 6 february 1983 | palm beach , florida , usa | clay | barbara potter | kathy jordan paula smith | 6 - 4 , 4 - 6 , 6 - 2 |\n| winner | 3 april 1983 | tokyo , japan | carpet | billie jean king | kathy jordan anne smith | 6 - 1 , 6 - 1 |\n| winner | 1 may 1983 | atlanta , georgia , usa | hard | alycia moulton | rosie casals wendy turnbull | 6 - 3 , 7 - 6 |\n| winner | 13 june 1983 | birmingham , england | grass | billie jean king | beverly mould liz smylie | 6 - 2 , 6 - 4 |\n| winner | 28 august 1983 | mahwah , hawaii , usa | hard | jo durie | rosalyn fairbank candy reynolds | 4 - 6 , 7 - 5 , 6 - 3 |\n| winner | 2 october 1983 | us indoors , usa | carpet | billie jean king | kathy jordan barbara potter | 3 - 6 , 6 - 3 , 6 - 4 |\n| runner - up | 20 november 1983 | brisbane , australia | grass | pam shriver | anne hobbs wendy turnbull | 3 - 6 , 4 - 6 |\n| winner | 9 january 1984 | washington dc , usa | carpet | barbara potter | leslie allen anne white | 6 - 1 , 6 - 7 , 6 - 2 |\n| runner - up | 5 february 1984 | houston , texas , usa | carpet | barbara potter | mima jaušovec anne white | 4 - 6 , 6 - 3 , 6 - 7 |\n| winner | 12 february 1984 | chicago , illinois , usa | carpet | billie jean king | barbara potter pam shriver | 5 - 7 , 6 - 3 , 6 - 3 |\n| winner | 31 march 1984 | boston , massachusetts , usa | carpet | barbara potter | andrea leand mary - lou daniels | 7 - 6 , 6 - 0 |\n| runner - up | 16 april 1984 | hilton head , south carolina , usa | clay | anne hobbs | claudia kohde - kilsch hana mandlíková | 5 - 7 , 2 - 6 |\n| runner - up | 24 september 1984 | fort lauderdale , florida , usa | hard | barbara potter | martina navrátilová liz smylie | 6 - 2 , 2 - 6 , 3 - 6 |\n| runner - up | 28 october 1984 | brighton , england | carpet | barbara potter | alycia moulton paula smith | 7 - 6 , 3 - 6 , 5 - 7 |\n| runner - up | 25 november 1984 | sydney , australia | grass | wendy turnbull | claudia kohde - kilsch helena suková | 2 - 6 , 6 - 7 |\n| runner - up | 20 january 1985 | denver , colorado , usa | carpet | leslie allen | mary - lou daniels robin white | 6 - 1 , 4 - 6 , 5 - 7 |\n| winner | 17 march 1985 | dallas , texas , usa | carpet | barbara potter | marcella mesker pascale paradis | 5 - 7 , 6 - 4 , 7 - 6 |\n| winner | 16 june 1985 | birmingham , england | grass | terry holladay | elise burgin alycia moulton | 6 - 4 , 5 - 7 , 6 - 3 |\n| winner | 19 october 1986 | tokyo , japan | hard | sandy collins | susan mascarin betsy nagelsen | 6 - 1 , 6 - 2 |\n| runner - up | 26 october 1986 | singapore | hard | sandy collins | anna - maria fernandez julie richardson | 3 - 6 , 2 - 6 |\n| runner - up | 19 april 1987 | tokyo , japan | hard | sandy collins | kathy jordan betsy nagelsen | 3 - 6 , 5 - 7 |\n| runner - up | 26 april 1987 | taipei | carpet | sandy collins | cammy macgregor cynthia macgregor | 6 - 7 , 7 - 5 , 4 - 6 |\n| runner - up | 9 august 1987 | san diego , california , usa | hard | elise burgin | jana novotná catherine suire | 3 - 6 , 4 - 6 |" + } + ] + }, + { + "id": "table_recognition_train_item_115127", + "image": "table_instructV/images/Rotowire_train_table_1906.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 76ers | Philadelphia | 101 | 23 | 23 | 25 | 30 | 26 | 45 | 16 | 46 | 80 | 17 | 18 | 64 | | | | |\n| Heat | Miami | 105 | 29 | 35 | 11 | 30 | 22 | 42 | 16 | 44 | 75 | 39 | 37 | 45 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| JaKarr Sampson | 35 | 22 | 5 | 6 | 8-15 | 53% | 0-5 | 0% | 6-7 | 86% | 3 | 5 | 1 | 1 | 4 | 4 | G | Philadelphia |\n| Robert Covington | 29 | 19 | 4 | 2 | 4-14 | 29% | 2-9 | 22% | 9-10 | 90% | 1 | 1 | 2 | 2 | 2 | 3 | F | Philadelphia |\n| Hollis Thompson | 31 | 19 | 1 | 4 | 8-15 | 53% | 3-7 | 43% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 3 | N/A | Philadelphia |\n| Thomas Robinson | 26 | 13 | 10 | 4 | 5-7 | 71% | 0-0 | 0% | 3-3 | 100% | 2 | 6 | 0 | 1 | 9 | 3 | N/A | Philadelphia |\n| Glenn Robinson | 36 | 10 | 8 | 3 | 5-9 | 56% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 0 | 4 | 4 | 3 | G | Philadelphia |\n| Henry Sims | 40 | 10 | 11 | 3 | 5-10 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 4 | 7 | 4 | C | Philadelphia |\n| Jerami Grant | 41 | 8 | 6 | 4 | 3-13 | 23% | 0-6 | 0% | 2-5 | 40% | 0 | 2 | 1 | 1 | 5 | 1 | F | Philadelphia |\n| Ish Smith | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Isaiah Canaan | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Luc Mbah a Moute | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Nerlens Noel | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Jason Richardson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Furkan Aldemir | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Michael Beasley | 48 | 34 | 11 | 8 | 12-27 | 44% | 0-2 | 0% | 10-11 | 91% | 2 | 3 | 2 | 2 | 9 | 4 | C | Miami |\n| Zoran Dragic | 41 | 22 | 3 | 2 | 9-17 | 53% | 3-7 | 43% | 1-2 | 50% | 2 | 3 | 0 | 2 | 1 | 3 | G | Miami |\n| Henry Walker | 48 | 21 | 4 | 2 | 6-10 | 60% | 6-10 | 60% | 3-5 | 60% | 1 | 2 | 0 | 2 | 2 | 4 | F | Miami |\n| James Ennis III | 48 | 17 | 12 | 6 | 7-20 | 35% | 2-7 | 29% | 1-2 | 50% | 1 | 4 | 0 | 3 | 9 | 2 | F | Miami |\n| Tyler Johnson | 48 | 11 | 10 | 4 | 5-15 | 33% | 1-5 | 20% | 0-0 | 0% | 4 | 4 | 0 | 2 | 8 | 3 | G | Miami |\n| Udonis Haslem | 7 | 0 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 1 | N/A | Miami |\n| Mario Chalmers | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Chris Andersen | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Goran Dragic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Luol Deng | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Hassan Whiteside | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Dwyane Wade | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |" + } + ] + }, + { + "id": "table_recognition_train_item_111449", + "image": "table_instructV/images/Rotowire_train_table_67.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Grizzlies | Memphis | 115 | 25 | 29 | 23 | 38 | 23 | 38 | 10 | 51 | 80 | 52 | 20 | 12 | | | | |\n| Rockets | Houston | 109 | 31 | 18 | 26 | 34 | 27 | 40 | 13 | 43 | 87 | 39 | 22 | 9 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Grizzlies | | | | | | | | | | | | | | | | | | |\n| Mike Conley | 29 | 24 | 3 | 5 | 9-17 | 53% | 3-6 | 50% | 3-4 | 75% | 1 | 0 | 0 | 0 | 3 | 1 | G | Memphis |\n| Marc Gasol | 34 | 16 | 5 | 4 | 5-14 | 36% | 0-1 | 0% | 6-6 | 100% | 1 | 3 | 2 | 1 | 4 | 3 | C | Memphis |\n| Zach Randolph | 20 | 16 | 5 | 4 | 8-11 | 73% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 1 | 4 | 1 | N/A | Memphis |\n| Vince Carter | 22 | 14 | 4 | 0 | 5-8 | 63% | 4-6 | 67% | 0-0 | 0% | 0 | 0 | 0 | 0 | 4 | 1 | N/A | Memphis |\n| James Ennis III | 21 | 13 | 1 | 0 | 5-7 | 71% | 3-5 | 60% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 0 | N/A | Memphis |\n| Tony Allen | 29 | 9 | 4 | 2 | 3-5 | 60% | 1-1 | 100% | 2-4 | 50% | 2 | 1 | 1 | 2 | 2 | 1 | G | Memphis |\n| JaMychal Green | 27 | 7 | 5 | 0 | 1-3 | 33% | 1-1 | 100% | 4-4 | 100% | 0 | 0 | 0 | 3 | 2 | 4 | F | Memphis |\n| Andrew Harrison | 20 | 5 | 2 | 6 | 1-6 | 17% | 0-3 | 0% | 3-4 | 75% | 0 | 2 | 0 | 0 | 2 | 2 | N/A | Memphis |\n| Troy Daniels | 10 | 5 | 2 | 0 | 1-1 | 100% | 1-1 | 100% | 2-3 | 67% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | Memphis |\n| Chandler Parsons | 15 | 4 | 3 | 2 | 2-7 | 29% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 1 | F | Memphis |\n| Jarell Martin | 15 | 2 | 4 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 2 | 0 | 0 | 1 | 3 | 2 | N/A | Memphis |\n| Troy Williams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Rockets | | | | | | | | | | | | | | | | | | |\n| Ryan Anderson | 35 | 28 | 7 | 0 | 9-17 | 53% | 7-13 | 54% | 3-3 | 100% | 0 | 2 | 2 | 1 | 6 | 4 | F | Houston |\n| Eric Gordon | 32 | 17 | 2 | 4 | 6-19 | 32% | 4-16 | 25% | 1-1 | 100% | 1 | 1 | 1 | 0 | 2 | 1 | N/A | Houston |\n| Montrezl Harrell | 28 | 16 | 8 | 1 | 7-11 | 64% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 2 | 6 | 4 | C | Houston |\n| James Harden | 36 | 16 | 7 | 17 | 6-13 | 46% | 2-6 | 33% | 2-3 | 67% | 1 | 9 | 0 | 1 | 6 | 5 | G | Houston |\n| Patrick Beverley | 33 | 13 | 6 | 1 | 4-11 | 36% | 3-9 | 33% | 2-2 | 100% | 2 | 0 | 0 | 2 | 4 | 3 | G | Houston |\n| Trevor Ariza | 36 | 9 | 3 | 3 | 3-6 | 50% | 3-5 | 60% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 1 | F | Houston |\n| Sam Dekker | 17 | 5 | 1 | 0 | 2-6 | 33% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 2 | N/A | Houston |\n| Nene | 18 | 4 | 5 | 1 | 1-3 | 33% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 2 | 3 | 2 | N/A | Houston |\n| Corey Brewer | 5 | 1 | 1 | 0 | 0-3 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | Houston |\n| Tyler Ennis | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Chinanu Onuaku | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| KJ McDaniels | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Kyle Wiltjer | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |" + } + ] + }, + { + "id": "table_recognition_train_item_104918", + "image": "table_instructV/images/ToTTo_train_table_20646.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| # | Name | Tenure | City of Residence |\n| --- | --- | --- | --- |\n| 1 | Charles J. Warner | 1937-1938 | Waverly |\n| 2 | William H. Diers | 1939-1940 | Gresham |\n| 3 | Rufus M. Howard | 1941-1942 | Sutherland |\n| 4 | Robert B. Crosby | 1943-1944 | North Platte |\n| 5 | C. Petrus Peterson | 1945-1946 | Lincoln |\n| 6 | Walter R. Raecke | 1947-1948 | Central City |\n| 7 | Earl J. Lee | 1949-1950 | Fremont |\n| 8 | C. Edward Hoyt | 1951-1952 | McCook |\n| 9 | Otto J. Prohs | 1952 | Gering |\n| 10 | Charles F. Tvrdik | 1953-1954 | Omaha |\n| 11 | Dwight W. Burney | 1955-1956 | Harrington |\n| 12 | John E. Beaver | 1957-1958 | Beemer |\n| 13 | Harry L. Pizer | 1959-1960 | North Platte |\n| 14 | Donald L. Thompson | 1961-1962 | McCook |\n| 15 | William S. Moulton | 1963-1964 | Omaha |\n| 16 | Kenneth L. Bowen | 1965-1966 | Red Cloud |\n| 17 | Elvin Adamson | 1967-1968 | Valentine |\n| 18 | Jerome Warner | 1969-1970 | Waverly |\n| 19 | William H. Hasebroock | 1971-1972 | West Point |\n| 20 | Richard R. Proud | 1973-1974 | Omaha |\n| 21 | Julius W. Burbach | 1975-1976 | Harrington |\n| 22 | Roland A. Luedtke | 1977-1978 | Lincoln |\n| 23 | Richard D. Marvel | 1979-1982 | Hastings |\n| 24 | William E. Nichol | 1983-1986 | Scottsbluff |\n| 25 | William E. Barrett | 1987-1990 | Lexington |\n| 26 | Dennis G. Baack | 1991-1992 | Kimball |\n| 27 | Ron Withem | 1993-1996 | Papillion |\n| 28 | Douglas A. Kristensen | 1997-2002 | Minden |\n| 29 | Curt Bromm | 2003-2004 | Wahoo |\n| 30 | Kermit Brashear | 2005-2006 | Omaha |\n| 31 | Mike Flood | 2007-2012 | Norfolk |\n| 32 | Greg L. Adams | 2013-2014 | York |\n| 33 | Galen Hadley | 2015-2016 | Kearney |\n| 34 | Jim Scheer | 2017-Present | Norfolk |" + } + ] + }, + { + "id": "table_recognition_train_item_33709", + "image": "table_instructV/images/TABMWP_31889.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of kitchen cabinets | Number of teacups |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_116485", + "image": "table_instructV/images/Rotowire_train_table_2585.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Warriors | Golden State | 120 | 30 | 26 | 36 | 28 | 32 | 48 | 14 | 49 | 84 | 53 | 18 | 0 | | | | |\n| Kings | Sacramento | 101 | 29 | 17 | 25 | 30 | 22 | 48 | 14 | 39 | 87 | 40 | 6 | 12 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 30 | 19 | 4 | 6 | 4-7 | 57% | 3-6 | 50% | 8-8 | 100% | 3 | 1 | 0 | 0 | 4 | 1 | G | Golden State |\n| Brandon Rush | 19 | 16 | 3 | 1 | 5-8 | 63% | 4-5 | 80% | 2-2 | 100% | 0 | 2 | 0 | 2 | 1 | 1 | F | Golden State |\n| Klay Thompson | 26 | 15 | 0 | 2 | 6-10 | 60% | 3-6 | 50% | 0-0 | 0% | 1 | 2 | 0 | 0 | 0 | 1 | G | Golden State |\n| Marreese Speights | 17 | 13 | 5 | 1 | 5-12 | 42% | 0-1 | 0% | 3-5 | 60% | 0 | 0 | 0 | 2 | 3 | 0 | N/A | Golden State |\n| Draymond Green | 36 | 13 | 11 | 12 | 4-13 | 31% | 0-4 | 0% | 5-7 | 71% | 1 | 3 | 4 | 2 | 9 | 4 | F | Golden State |\n| Festus Ezeli | 18 | 11 | 11 | 1 | 4-6 | 67% | 0-0 | 0% | 3-4 | 75% | 0 | 1 | 0 | 4 | 7 | 2 | N/A | Golden State |\n| Andre Iguodala | 22 | 9 | 3 | 1 | 3-4 | 75% | 3-4 | 75% | 0-0 | 0% | 0 | 3 | 1 | 1 | 2 | 2 | N/A | Golden State |\n| Ian Clark | 9 | 8 | 1 | 1 | 2-4 | 50% | 2-2 | 100% | 2-2 | 100% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Golden State |\n| Shaun Livingston | 17 | 7 | 2 | 3 | 3-5 | 60% | 0-0 | 0% | 1-1 | 100% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | Golden State |\n| Leandro Barbosa | 21 | 5 | 2 | 1 | 1-6 | 17% | 1-2 | 50% | 2-2 | 100% | 3 | 1 | 0 | 0 | 2 | 5 | N/A | Golden State |\n| Andrew Bogut | 20 | 4 | 4 | 2 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 2 | 0 | 4 | 3 | C | Golden State |\n| Jason Thompson | 6 | 0 | 2 | 1 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | Golden State |\n| James Michael McAdoo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Kings | | | | | | | | | | | | | | | | | | |\n| Rudy Gay | 27 | 20 | 7 | 0 | 7-20 | 35% | 0-1 | 0% | 6-6 | 100% | 0 | 0 | 0 | 3 | 4 | 1 | F | Sacramento |\n| Kosta Koufos | 23 | 14 | 7 | 0 | 7-13 | 54% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 1 | 5 | 2 | 4 | C | Sacramento |\n| Omri Casspi | 29 | 11 | 7 | 1 | 3-10 | 30% | 3-5 | 60% | 2-2 | 100% | 0 | 0 | 0 | 2 | 5 | 3 | F | Sacramento |\n| Darren Collison | 27 | 11 | 4 | 3 | 5-13 | 39% | 0-3 | 0% | 1-1 | 100% | 3 | 2 | 0 | 2 | 2 | 1 | N/A | Sacramento |\n| Ben McLemore | 27 | 10 | 3 | 5 | 3-7 | 43% | 2-3 | 67% | 2-3 | 67% | 3 | 2 | 1 | 0 | 3 | 0 | G | Sacramento |\n| Quincy Acy | 15 | 9 | 7 | 1 | 4-7 | 57% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 0 | 4 | 3 | 3 | N/A | Sacramento |\n| Seth Curry | 9 | 9 | 1 | 2 | 3-4 | 75% | 3-3 | 100% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 1 | N/A | Sacramento |\n| Rajon Rondo | 25 | 7 | 4 | 7 | 3-10 | 30% | 1-2 | 50% | 0-0 | 0% | 0 | 3 | 0 | 1 | 3 | 4 | G | Sacramento |\n| Marco Belinelli | 22 | 5 | 1 | 2 | 2-10 | 20% | 0-7 | 0% | 1-1 | 100% | 0 | 3 | 0 | 0 | 1 | 2 | N/A | Sacramento |\n| Willie Cauley-Stein | 20 | 3 | 4 | 1 | 1-5 | 20% | 0-0 | 0% | 1-2 | 50% | 1 | 0 | 2 | 2 | 2 | 5 | N/A | Sacramento |\n| Eric Moreland | 9 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 3 | 0 | 1 | 0 | N/A | Sacramento |\n| James Anderson | 6 | 0 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Sacramento |\n| Caron Butler | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |" + } + ] + }, + { + "id": "table_recognition_train_item_66322", + "image": "table_instructV/images/TabFact_2-13614398-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| date | opponents | h / a | result f - a | attendance |\n| --- | --- | --- | --- | --- |\n| 21 september 1889 | sunderland albion | h | 4 - 1 | 3000 |\n| 23 september 1889 | bootle | a | 1 - 4 | 3000 |\n| 28 september 1889 | crewe alexandra | a | 2 - 2 | 2000 |\n| 19 october 1889 | walsall town swifts | a | 0 - 4 | 600 |\n| 26 october 1889 | birmingham st george 's | a | 1 - 5 | 500 |\n| 9 november 1889 | long eaton rangers | h | 3 - 0 | 2500 |\n| 30 november 1889 | sheffield wednesday | a | 1 - 3 | 5000 |\n| 7 december 1889 | bootle | h | 3 - 0 | 4000 |\n| 21 december 1889 | walsall town swifts | h | 3 - 0 | 1000 |\n| 28 december 1889 | darwen | a | 1 - 4 | 5000 |\n| 4 january 1890 | grimsby town | h | 4 - 1 | 4000 |\n| 25 january 1890 | sunderland albion | a | 0 - 2 | 4000 |\n| 8 february 1890 | grimsby town | a | 0 - 7 | 2400 |\n| 15 february 1890 | nottingham forest | a | 3 - 1 | 800 |\n| 1 march 1890 | crewe alexandra | h | 1 - 2 | 2000 |\n| 15 march 1890 | small heath | a | 1 - 1 | 2000 |\n| 22 march 1890 | long eaton rangers | a | 3 - 1 | 2000 |\n| 29 march 1890 | darwen | h | 2 - 1 | 5000 |\n| 5 april 1890 | nottingham forest | h | 0 - 1 | 4000 |\n| 7 april 1890 | small heath | h | 9 - 1 | 4000 |\n| 14 april 1890 | grimsby town | h | 0 - 1 | 3000 |\n| 19 april 1890 | birmingham st george 's | h | 2 - 1 | 2500 |\n| 21 april 1890 | walsall town swifts | h | 2 - 1 | 1000 |\n| 26 april 1890 | sheffield wednesday | h | 1 - 2 | 4000 |" + } + ] + }, + { + "id": "table_recognition_train_item_69274", + "image": "table_instructV/images/TabFact_2-10783853-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| home team | home team score | away team | away team score | venue | crowd | date |\n| --- | --- | --- | --- | --- | --- | --- |\n| hawthorn | 21.25 (151) | south melbourne | 11.14 (80) | glenferrie oval | 15000 | 11 may 1963 |\n| footscray | 14.12 (96) | richmond | 11.11 (77) | western oval | 21695 | 11 may 1963 |\n| carlton | 9.13 (67) | essendon | 8.13 (61) | princes park | 42919 | 11 may 1963 |\n| north melbourne | 3.7 (25) | geelong | 7.19 (61) | arden street oval | 21700 | 11 may 1963 |\n| melbourne | 14.10 (94) | fitzroy | 8.7 (55) | mcg | 25500 | 11 may 1963 |\n| st kilda | 14.13 (97) | collingwood | 11.7 (73) | junction oval | 37700 | 11 may 1963 |" + } + ] + }, + { + "id": "table_recognition_train_item_55052", + "image": "table_instructV/images/TabFact_2-15671752-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| year | competition | venue | position | event | notes |\n| --- | --- | --- | --- | --- | --- |\n| 1986 | venice marathon | venice , italy | 1st | marathon | 2:18:44 |\n| 1987 | world championships | rome , italy | 13th | marathon | 2:17:45 |\n| 1987 | venice marathon | venice , italy | 1st | marathon | 2:10:01 |\n| 1990 | european championships | split , fr yugoslavia | 4th | marathon | 2:17:45 |\n| 1991 | world championships | tokyo , japan | 6th | marathon | 2:15:58 |\n| 1992 | olympic games | barcelona , spain | 5th | marathon | 2:14:15 |\n| 1993 | world championships | stuttgart , germany | n /a | marathon | dnf |\n| 1996 | olympic games | atlanta , united states | 20th | marathon | 2:17:27 |" + } + ] + }, + { + "id": "table_recognition_train_item_32474", + "image": "table_instructV/images/TABMWP_18328.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | Correctly placed | Incorrectly placed |\n| --- | --- | --- |\n| Plastic #2 | 4 | 3 |\n| Plastic #4 | 2 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_33644", + "image": "table_instructV/images/TABMWP_31201.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $970 | 15,800 | 11,700 |\n| $1,140 | 13,400 | 12,000 |\n| $1,310 | 11,000 | 12,300 |\n| $1,480 | 8,600 | 12,600 |\n| $1,650 | 6,200 | 12,900 |" + } + ] + }, + { + "id": "table_recognition_train_item_69966", + "image": "table_instructV/images/TabFact_2-17477462-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| railway | builder | built | wheels | location | objectnumber |\n| --- | --- | --- | --- | --- | --- |\n| c&slr | mather & platt / beyer , peacock | 1890 | bo | ltmuseum | 1923 - 301 |\n| waterloo & city | siemens brothers & co | 1898 | bo | shildon | 1978 - 7003 |\n| ner | bth | 1904 | bo - bo | shildon | 1975 - 7022 |\n| nsr | nsr / thomas bolton | 1917 | bo | york | 1978 - 7004 |\n| br | br gorton | 1951 | bo - bo | york | 1978 - 7005 |\n| br | br doncaster | 1958 | bo - bo | shildon | 1978 - 7006 |\n| br | north british | 1960 | bo - bo | barrow hill | 1979 - 7001 |\n| br | brel crewe | 1974 | bo - bo | york | 2005 - 7698 |" + } + ] + }, + { + "id": "table_recognition_train_item_116687", + "image": "table_instructV/images/Rotowire_train_table_2686.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Thunder | Oklahoma City | 104 | 25 | 27 | 31 | 21 | 20 | 62 | 22 | 42 | 81 | 32 | 29 | 25 | | | | |\n| Mavericks | Dallas | 89 | 19 | 17 | 29 | 24 | 16 | 39 | 17 | 36 | 82 | 33 | 36 | 20 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Russell Westbrook | 36 | 34 | 5 | 10 | 9-17 | 53% | 2-4 | 50% | 14-14 | 100% | 2 | 6 | 0 | 2 | 3 | 3 | G | Oklahoma City |\n| Serge Ibaka | 38 | 21 | 22 | 0 | 8-12 | 67% | 0-0 | 0% | 5-6 | 83% | 0 | 3 | 0 | 7 | 15 | 2 | F | Oklahoma City |\n| Anthony Morrow | 29 | 16 | 2 | 0 | 7-13 | 54% | 2-5 | 40% | 0-0 | 0% | 2 | 2 | 0 | 1 | 1 | 2 | N/A | Oklahoma City |\n| Kevin Durant | 37 | 12 | 6 | 5 | 4-14 | 29% | 2-6 | 33% | 2-2 | 100% | 1 | 2 | 0 | 1 | 5 | 1 | F | Oklahoma City |\n| Dion Waiters | 27 | 8 | 1 | 3 | 4-9 | 44% | 0-1 | 0% | 0-0 | 0% | 1 | 2 | 0 | 0 | 1 | 3 | N/A | Oklahoma City |\n| Andre Roberson | 15 | 4 | 12 | 1 | 2-9 | 22% | 0-2 | 0% | 0-2 | 0% | 0 | 2 | 0 | 6 | 6 | 2 | G | Oklahoma City |\n| Mitch McGary | 18 | 4 | 3 | 0 | 2-5 | 40% | 0-0 | 0% | 0-2 | 0% | 1 | 3 | 0 | 0 | 3 | 3 | N/A | Oklahoma City |\n| Jeremy Lamb | 5 | 3 | 1 | 0 | 1-3 | 33% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Oklahoma City |\n| Nick Collison | 26 | 2 | 9 | 1 | 1-7 | 14% | 0-2 | 0% | 0-0 | 0% | 1 | 2 | 0 | 4 | 5 | 2 | C | Oklahoma City |\n| Perry Jones III | 10 | 0 | 1 | 0 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Oklahoma City |\n| Steven Adams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Mavericks | | | | | | | | | | | | | | | | | | |\n| Dirk Nowitzki | 31 | 14 | 4 | 0 | 6-16 | 38% | 0-3 | 0% | 2-2 | 100% | 0 | 0 | 2 | 0 | 4 | 1 | F | Dallas |\n| Devin Harris | 18 | 13 | 1 | 1 | 5-8 | 63% | 1-3 | 33% | 2-2 | 100% | 2 | 3 | 0 | 0 | 1 | 3 | N/A | Dallas |\n| Charlie Villanueva | 13 | 11 | 2 | 0 | 4-8 | 50% | 2-5 | 40% | 1-2 | 50% | 2 | 1 | 0 | 0 | 2 | 0 | N/A | Dallas |\n| Tyson Chandler | 33 | 10 | 13 | 0 | 4-10 | 40% | 0-0 | 0% | 2-3 | 67% | 0 | 2 | 0 | 7 | 6 | 3 | C | Dallas |\n| Chandler Parsons | 36 | 8 | 7 | 2 | 3-12 | 25% | 2-5 | 40% | 0-0 | 0% | 1 | 3 | 0 | 1 | 6 | 2 | F | Dallas |\n| Al-Farouq Aminu | 17 | 8 | 5 | 1 | 2-7 | 29% | 2-4 | 50% | 2-2 | 100% | 2 | 1 | 0 | 3 | 2 | 3 | N/A | Dallas |\n| Monta Ellis | 35 | 7 | 0 | 4 | 2-13 | 15% | 1-5 | 20% | 2-2 | 100% | 6 | 2 | 0 | 0 | 0 | 2 | G | Dallas |\n| J.J. Barea | 14 | 7 | 2 | 2 | 3-6 | 50% | 1-2 | 50% | 0-0 | 0% | 1 | 1 | 0 | 1 | 1 | 0 | N/A | Dallas |\n| Rajon Rondo | 29 | 5 | 2 | 6 | 2-9 | 22% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 0 | 1 | 1 | 4 | G | Dallas |\n| Bernard James | 8 | 4 | 2 | 0 | 1-1 | 100% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 1 | 1 | 1 | 1 | N/A | Dallas |\n| Richard Jefferson | 7 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 1 | N/A | Dallas |\n| Raymond Felton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| Greg Smith | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |" + } + ] + }, + { + "id": "table_recognition_train_item_59828", + "image": "table_instructV/images/TabFact_1-20871703-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| round | choice | player name | position | height | weight | college |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 9 | b j raji | dt | 6'2' | 337 | boston college |\n| 1 | 26 | clay matthews | lb | 6'3' | 240 | usc |\n| 4 | 109 | t j lang | og / ot | 6'4' | 316 | eastern michigan |\n| 5 | 145 | quinn johnson | fb | 6'1' | 246 | lsu |\n| 5 | 162 | jamon meredith | ot | 6'5' | 304 | south carolina |\n| 6 | 182 | jarius wynn | de | 6'5' | 273 | georgia |\n| 6 | 187 | brandon underwood | cb | 6'1' | 198 | cincinnati |" + } + ] + }, + { + "id": "table_recognition_train_item_101125", + "image": "table_instructV/images/ToTTo_train_table_4757.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | 18–10 | Daniel Vizcaya | Technical Submission (rear-naked choke) | RCC 14: Revolution Combat Championships 14 | December 29, 2017 | 1 | 3:49 | Cedar Rapids, Iowa, United States | For RCC Light Heavyweight Championship. |\n| Win | 18–9 | Eddie Larrea | Submission (rear-naked choke) | RCC: Revolution Cage Combat | June 11, 2016 | 1 | 3:33 | Iowa City, Iowa, United States | |\n| Loss | 17–9 | Muhammed Lawal | TKO (punches) | Bellator 131 | November 15, 2014 | 3 | 0:39 | San Diego, California, United States | Light Heavyweight bout. |\n| Win | 17–8 | Davin Clark | TKO (punches) | Bellator 129 | October 17, 2014 | 3 | 2:27 | Council Bluffs, Iowa, United States | |\n| Win | 16–8 | Cortez Coleman | Decision (majority) | Bellator 121 | June 6, 2014 | 3 | 5:00 | Thackerville, Oklahoma, United States | |\n| Win | 15–8 | Ben Crowder | Technical Submission (leg injury) | Bellator 117 | April 18, 2014 | 1 | 0:48 | Council Bluffs, Iowa, United States | |\n| Loss | 14–8 | Kendall Grove | Decision (unanimous) | Bellator 104 | October 18, 2013 | 3 | 5:00 | Cedar Rapids, Iowa, United States | Middleweight bout. |\n| Loss | 14–7 | Eddie Larrea | TKO (punches) | Triple A MMA 2 | August 10, 2013 | 1 | 0:45 | Cedar Rapids, Iowa, United States | |\n| Loss | 14–6 | Louis Taylor | KO (punches) | Bellator 84 | December 14, 2012 | 1 | 4:12 | Hammond, Indiana, United States | |\n| Win | 14–5 | Mike Bernhard | Submission (shin choke) | Bellator 80 | November 9, 2012 | 1 | 3:26 | Hollywood, Florida, United States | |\n| Loss | 13–5 | Jason Buck | Submission (rear-naked choke) | Pinnacle Combat MMA 10 | April 27, 2012 | 1 | 0:43 | Dubuque, Iowa, United States | |\n| Win | 13–4 | Kenneth Allen | Submission (rear-naked choke) | Extreme Challenge 202 | January 28, 2012 | 1 | 2:17 | Bettendorf, Iowa, United States | |\n| Loss | 12–4 | Dmitry Samoilov | Decision (unanimous) | League S-70: Russia vs. Brazil | August 5, 2011 | 2 | 5:00 | Sochi, Krasnodar Krai, Russia | |\n| Win | 12–3 | Dennis Reed | Submission (armbar) | Revolution Combat Championships 11: Cocked and Loaded | June 19, 2010 | 1 | 1:31 | Columbus Junction, Iowa, United States | |\n| Win | 11–3 | Oli Thompson | TKO (punches) | ZT Fight Night: Heavyweights Collide | January 30, 2010 | 2 | 1:24 | Hove, East Sussex, England | ZT Fight Night Heavyweight Tournament Semifinal. |\n| Win | 10–3 | Miguel Bernard | Submission (armbar) | ZT Fight Night: Heavyweights Collide | January 30, 2010 | 1 | 0:33 | Hove, East Sussex, England | ZT Fight Night Heavyweight Tournament Quarterfinal. |\n| Win | 9–3 | Webster Farris | KO (punch) | Adrenaline MMA IV | September 18, 2009 | 1 | 0:14 | Council Bluffs, Iowa, United States | |\n| Loss | 8–3 | Rob Kimmons | Technical submission (guillotine choke) | UFC Fight Night 18 | April 1, 2009 | 1 | 1:54 | Nashville, Tennessee, United States | |\n| Loss | 8–2 | Alessio Sakara | KO (head kick) | UFC Fight Night 15 | September 17, 2008 | 1 | 1:27 | Omaha, Nebraska, United States | |\n| Win | 8–1 | Brian Green | Submission (verbal) | MCC 14: Pride or Fate | June 14, 2008 | 3 | 4:25 | Urbandale, Iowa, United States | |\n| Win | 7–1 | Karl Kelly | Submission (keylock) | Pinnacle Combat: MMA | April 26, 2008 | 1 | 1:44 | Dubuque, Iowa, United States | |\n| Loss | 6–1 | Mario Miranda | TKO (punches) | Carnage at the Creek 2 | April 5, 2008 | 3 | 2:38 | Shelton, Washington, United States | |\n| Win | 6–0 | Rob Smith | TKO (knees) | XFO 22: Xtreme Fighting Organization | February 23, 2008 | 2 | 1:17 | Crystal Lake, Illinois, United States | |\n| Win | 5–0 | Chris Powers | Submission (kimura) | Mainstream MMA: Vengeance | October 20, 2007 | 1 | 2:55 | Cedar Rapids, Iowa, United States | |\n| Win | 4–0 | Todd Carney | TKO (strikes) | Extreme Challenge 83 | September 1, 2007 | 1 | 4:34 | Riverside, Iowa, United States | |\n| Win | 3–0 | Jeremy Norwood | KO (punch) | Rwevolution Combat Championships Vol. 1: The Doctor is Out | August 17, 2007 | 1 | 1:35 | West Liberty, Iowa, United States | |\n| Win | 2–0 | Joe Winterfeldt | N/A | Title Fighting Championships 1 | April 21, 2006 | 1 | N/A | Des Moines, Iowa, United States | |\n| Win | 1–0 | Jesse Lennox | Decision (unanimous) | Mainstream MMA 1: Inception | November 18, 2005 | 3 | 5:00 | Cedar Rapids, Iowa, United States | |" + } + ] + }, + { + "id": "table_recognition_train_item_53300", + "image": "table_instructV/images/TabFact_2-12397961-11.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| outcome | date | tournament | surface | opponent | score |\n| --- | --- | --- | --- | --- | --- |\n| winner | 12 november 2006 | nashville , united states | hard | kristian pless | 7 - 6 (11 - 9) , 6 - 3 |\n| winner | 4 march 2007 | wolfsburg , germany | carpet (i) | daniel brands | 6 - 2 , 3 - 6 , 6 - 1 |\n| winner | 23 march 2008 | sunrise , united states | hard | sébastien grosjean | 7 - 5 , 5 - 7 , 6 - 1 |\n| winner | 21 march 2010 | caltanissetta , italy | clay | matteo trevisan | 7 - 5 , 6 - 3 |\n| winner | 6 june 2010 | fürth , germany | clay | tobias kamke | 6 - 4 , 6 - 2 |\n| winner | 8 august 2010 | city of san marino , san marino | clay | filippo volandri | 6 - 2 , 7 - 6 (10 - 8) |\n| winner | 29 august 2010 | manerbio , italy | clay | marco crugnola | 6 - 3 , 6 - 2 |\n| winner | 5 september 2010 | como , italy | clay | ivo minář | 6 - 4 , 6 - 3 |\n| runner - up | 9 june 2013 | caltanissetta , italy | clay | dušan lajović | 6 - 7 (4 - 7) , 3 - 6 |" + } + ] + }, + { + "id": "table_recognition_train_item_55300", + "image": "table_instructV/images/TabFact_2-17634290-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| name | country | type | moving from | transfer window | ends | transfer fee | source |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| robinson | eng | free agent | swansea city | summer | 2011 | free | leeds united yorkshire evening post |\n| sheehan | ire | transferred 1 | leicester city | summer | 2011 | undisclosed | leeds united |\n| showunmi | ngr eng | free agent | bristol city | summer | 2010 | free | leeds united |\n| snodgrass | sco | free agent 1 | livingston | summer | 2011 | 35k 2 | leeds united |\n| becchio | arg | transferred | mérida ud | summer | 2011 | 300k 3 | leeds united |\n| telfer | sco | free agent | bournemouth | summer | 2009 4 | free | leeds united |\n| christie | eng | free agent | middlesbrough | summer | n / a 5 | free | leeds united |\n| assoumani | mli fra | free agent | sportfreunde siegen | summer | 2009 | free | leeds united |\n| grella | usa | free agent | cary clarets | winter | 2010 | free | leeds united |\n| naylor | eng | transferred | ipswich town | winter | 2011 | free | leeds united |" + } + ] + }, + { + "id": "table_recognition_train_item_112829", + "image": "table_instructV/images/Rotowire_train_table_757.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Lakers | Los Angeles | 77 | 12 | 27 | 24 | 14 | 13 | 43 | 11 | 38 | 59 | 36 | 20 | 55 | | | | |\n| Trail Blazers | Portland | 107 | 26 | 26 | 22 | 33 | 21 | 53 | 8 | 49 | 100 | 39 | 49 | 26 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Lakers | | | | | | | | | | | | | | | | | | |\n| Jordan Clarkson | 35 | 27 | 7 | 5 | 12-20 | 60% | 2-4 | 50% | 1-2 | 50% | 0 | 2 | 0 | 1 | 6 | 1 | G | Los Angeles |\n| Wesley Johnson | 38 | 11 | 15 | 1 | 5-14 | 36% | 0-2 | 0% | 1-2 | 50% | 0 | 0 | 1 | 3 | 12 | 1 | F | Los Angeles |\n| Jabari Brown | 30 | 11 | 3 | 0 | 2-9 | 22% | 1-3 | 33% | 6-9 | 67% | 0 | 1 | 0 | 0 | 3 | 2 | N/A | Los Angeles |\n| Tarik Black | 27 | 10 | 4 | 1 | 5-10 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 1 | 3 | 1 | C | Los Angeles |\n| Dwight Buycks | 7 | 8 | 1 | 1 | 3-4 | 75% | 2-2 | 100% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 0 | N/A | Los Angeles |\n| Ryan Kelly | 38 | 4 | 3 | 2 | 2-6 | 33% | 0-2 | 0% | 0-0 | 0% | 1 | 4 | 2 | 0 | 3 | 2 | F | Los Angeles |\n| Jeremy Lin | 25 | 4 | 5 | 0 | 1-9 | 11% | 0-1 | 0% | 2-4 | 50% | 0 | 1 | 1 | 0 | 5 | 3 | G | Los Angeles |\n| Ed Davis | 12 | 2 | 1 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 0 | N/A | Los Angeles |\n| Carlos Boozer | 9 | 0 | 1 | 1 | 0-4 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 0 | N/A | Los Angeles |\n| Robert Sacre | 12 | 0 | 2 | 1 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 1 | 0 | N/A | Los Angeles |\n| Jordan Hill | 9 | 0 | 1 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Los Angeles |\n| Wayne Ellington | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Nick Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Trail Blazers | | | | | | | | | | | | | | | | | | |\n| CJ McCollum | 27 | 27 | 6 | 3 | 10-16 | 63% | 2-4 | 50% | 5-5 | 100% | 2 | 0 | 0 | 1 | 5 | 3 | N/A | Portland |\n| Damian Lillard | 28 | 20 | 3 | 5 | 8-15 | 53% | 4-8 | 50% | 0-0 | 0% | 2 | 2 | 0 | 0 | 3 | 2 | G | Portland |\n| Arron Afflalo | 32 | 17 | 1 | 1 | 5-15 | 33% | 3-5 | 60% | 4-4 | 100% | 1 | 0 | 0 | 0 | 1 | 1 | G | Portland |\n| LaMarcus Aldridge | 29 | 14 | 8 | 1 | 7-15 | 47% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 1 | 2 | 6 | 0 | F | Portland |\n| Robin Lopez | 25 | 10 | 4 | 0 | 4-4 | 100% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 2 | 0 | 4 | 1 | C | Portland |\n| Nicolas Batum | 27 | 7 | 10 | 4 | 3-9 | 33% | 1-5 | 20% | 0-0 | 0% | 0 | 1 | 0 | 1 | 9 | 1 | F | Portland |\n| Joel Freeland | 7 | 4 | 3 | 0 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 3 | 0 | N/A | Portland |\n| Alonzo Gee | 5 | 4 | 1 | 0 | 2-6 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 0 | 0 | N/A | Portland |\n| Chris Kaman | 16 | 2 | 4 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 4 | 0 | N/A | Portland |\n| Tim Frazier | 5 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 1 | 0 | 1 | N/A | Portland |\n| Steve Blake | 15 | 0 | 0 | 5 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Portland |\n| Meyers Leonard | 19 | 0 | 11 | 2 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 11 | 3 | N/A | Portland |\n| Allen Crabbe | 5 | 0 | 1 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Portland |" + } + ] + }, + { + "id": "table_recognition_train_item_31564", + "image": "table_instructV/images/TABMWP_8758.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 3 | 16 |\n| 1 | 4 |\n| 3 | 6 |\n| 3 | 11 |" + } + ] + }, + { + "id": "table_recognition_train_item_49574", + "image": "table_instructV/images/TAT-QA_b79d63e7-d5e7-4c50-a409-b978aebe3960.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| | Options with two year vesting | Options with three year vesting |\n| --- | --- | --- |\n| Volatility | 57.5% | 52.5% |\n| Dividend yield | 10.0 % | 10.0% |\n| Risk-free interest rate | 1.64% | 1.65% |\n| Weighted-average grant date fair value | $0.59 | $0.58 |" + } + ] + }, + { + "id": "table_recognition_train_item_102628", + "image": "table_instructV/images/ToTTo_train_table_10978.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| No. | Name | Pos. | GP/GS | Carr. | Yards | Avg. | Long | TD's |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 32 | JAMES, Craig | RB | 14/14 | 201 | 823 | 4.1 | 24 | 5 |\n| 38 | TAYLOR, Billy | FB | 15/13 | 172 | 763 | 4.4 | 34 | 5 |\n| 23 | BLEDSOE, Curtis | RB | 6/0 | 26 | 133 | 5.1 | 31 | 0 |\n| 39 | MAYBERRY, James | FB | 17/6 | 41 | 114 | 2.8 | 11 | 2 |\n| 40 | ROBINSON, Eric | RB | 16/3 | 49 | 97 | 2.0 | 8 | 0 |\n| 9 | HOHENSEE, Mike | QB | 9/7 | 19 | 73 | 3.8 | 19 | 0 |\n| 11 | McQUILKEN, Kim | QB | 11/9 | 13 | 9 | 0.7 | 7 | 1 |\n| 35 | CLAITT, Ricky | FB | 4/0 | 1 | 1 | 1.0 | 1 | 0 |\n| 22 | HARDEMAN, Buddy | FB | 4/0 | 3 | −3 | −1.0 | 4 | 0 |\n| 10 | GILLIAM, Joe | QB | 4/2 | 3 | −6 | −2.0 | 4 | 0 |\n| 3 | MOORE, Dana | P/K | 15/1 | 1 | −8 | −8.0 | −8 | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_68954", + "image": "table_instructV/images/TabFact_1-23918997-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| no | title | directed by | written by | original air date | production code | us viewers (million) |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | the red serpent | rick jacobson | steven s deknight | january 22 , 2010 | sps101 | 0.66 |\n| 2 | sacramentum gladiatorum | rick jacobson | steven s deknight | january 29 , 2010 | sps102 | 0.77 |\n| 3 | legends | grady hall | brent fletcher | february 5 , 2010 | sps103 | 0.86 |\n| 4 | the thing in the pit | jesse warn | aaron helbing & todd helbing | february 12 , 2010 | sps104 | 0.66 |\n| 5 | shadow games | michael hurst | miranda kwok | february 19 , 2010 | sps105 | 0.85 |\n| 6 | delicate things | rick jacobson | tracy bellomo & andrew chambliss | february 26 , 2010 | sps106 | 1.08 |\n| 7 | great and unfortunate things | jesse warn | brent fletcher & steven s deknight | march 5 , 2010 | sps107 | 0.97 |\n| 8 | mark of the brotherhood | rowan woods | aaron helbing & todd helbing | march 12 , 2010 | sps108 | 0.88 |\n| 9 | whore | michael hurst | daniel knauf | march 19 , 2010 | sps109 | 1.11 |\n| 10 | party favors | chris martin - jones | brent fletcher & miranda kwok | march 26 , 2010 | sps110 | 1.27 |\n| 12 | revelations | michael hurst | brent fletcher | april 9 , 2010 | sps112 | 1.29 |" + } + ] + }, + { + "id": "table_recognition_train_item_56844", + "image": "table_instructV/images/TabFact_1-17323529-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 48 | february 2 | miami | l 95 - 119 (ot) | zach randolph (21) | al thornton , marcus camby (7) | baron davis (9) | american airlines arena 15985 | 10 - 38 |\n| 49 | february 4 | orlando | l 96 - 125 (ot) | al thornton (27) | marcus camby (9) | fred jones (6) | amway arena 16101 | 10 - 39 |\n| 50 | february 6 | memphis | w 126 - 105 (ot) | zach randolph (35) | marcus camby (11) | baron davis (8) | fedexforum 10912 | 11 - 39 |\n| 51 | february 7 | atlanta | w 121 - 97 (ot) | al thornton (31) | zach randolph (9) | fred jones (9) | philips arena 18729 | 12 - 39 |\n| 52 | february 9 | charlotte | l 73 - 94 (ot) | zach randolph (20) | marcus camby (11) | baron davis (8) | time warner cable arena 10852 | 12 - 40 |\n| 53 | february 11 | new york | w 128 - 124 (ot) | eric gordon (30) | zach randolph (15) | baron davis (20) | staples center 16928 | 13 - 40 |\n| 54 | february 17 | phoenix | l 100 - 140 (ot) | eric gordon (24) | deandre jordan (7) | baron davis (6) | us airways center 18422 | 13 - 41 |\n| 55 | february 18 | phoenix | l 119 - 142 (ot) | al thornton (33) | deandre jordan (11) | baron davis (7) | staples center 18169 | 13 - 42 |\n| 56 | february 22 | portland | l 87 - 116 (ot) | eric gordon (21) | deandre jordan (12) | baron davis (6) | rose garden 20447 | 13 - 43 |\n| 57 | february 23 | golden state | w 118 - 105 (ot) | zach randolph , eric gordon (27) | zach randolph (11) | baron davis (10) | staples center 15383 | 14 - 43 |\n| 58 | february 25 | boston | w 93 - 91 (ot) | zach randolph (30) | zach randolph (12) | mardy collins , baron davis (5) | staples center 18609 | 15 - 43 |\n| 59 | february 27 | sacramento | l 86 - 98 (ot) | steve novak , baron davis (13) | marcus camby (13) | mike taylor (5) | arco arena 12846 | 15 - 44 |" + } + ] + }, + { + "id": "table_recognition_train_item_49518", + "image": "table_instructV/images/TAT-QA_446845bb-5b1e-4b41-a28a-db98fa193798.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| | Total Number of Shares Withheld for Taxes | Average Price Paid Per Share |\n| --- | --- | --- |\n| Period | | |\n| October 2019 | 16,585 | $11.57 |\n| November 2019 | 185,887 | 13.15 |\n| December 2019 | 12,368 | 13.70 |\n| Total | 214,840 | |" + } + ] + }, + { + "id": "table_recognition_train_item_100861", + "image": "table_instructV/images/ToTTo_train_table_3628.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Name | Lifespan | Reign start | Reign end | Notes | Family | Image |\n| --- | --- | --- | --- | --- | --- | --- |\n| Ruben I | | 1080 | 1095 | | Rubenids | |\n| Constantine I | | 1095 | 1102 | | Rubenids | |\n| Thoros I | | 1102 | 1129 | | Rubenids | |\n| Constantine II | | 1129 | 1129 | | Rubenids | |\n| Leo I | | 1129 | 1140 | | Rubenids | |\n| Thoros II | | 1144 | 1169 | | Rubenids | |\n| Ruben II | | 1169 | 1170 | | Rubenids | |\n| Mleh | | 1170 | 1175 | | Rubenids | |\n| Ruben III | | 1175 | 1187 | | Rubenids | |\n| Leo II | | 1187 | 1198/1199 | Became first king as Leo I | Rubenids | |" + } + ] + }, + { + "id": "table_recognition_train_item_69666", + "image": "table_instructV/images/TabFact_1-18483171-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| institution | location | founded | years in iiac (approx) | team nickname |\n| --- | --- | --- | --- | --- |\n| illinois state university | normal , illinois | 1857 | 1910 - 1970 | redbirds |\n| bradley university | peoria , illinois | 1897 | 1910 - 1937 | braves |\n| eureka college | eureka , illinois | 1855 | 1910 - 1942 | red devils |\n| hedding college (defunct) | abingdon , illinois | 1855 | 1910 - 1926 | orangemen |\n| illinois college | jacksonville , illinois | 1829 | 1910 - 1937 | blueboys |\n| illinois wesleyan university | bloomington , illinois | 1850 | 1910 - 1937 | titans |\n| lincoln college , illinois | lincoln , illinois | 1865 | 1910 - 1928 | lynx |\n| lombard college (defunct) | galesburg , illinois | 1853 | 1910 - 1929 | golden tornado / olive |\n| millikin university | decatur , illinois | 1901 | 1910 - 1937 | big blue |\n| shurtleff college (defunct) | alton , illinois | 1827 | 1910 - 1937 | pioneers / bison |\n| william & vashti college (defunct) | aledo , illinois | 1908 | 1910 - 1917 | unknown |\n| augustana college | rock island , illinois | 1860 | 1912 - 1937 | vikings |\n| carthage college | kenosha , wisconsin | 1847 | 1912 - 1941 | red men |\n| eastern illinois university | charleston , illinois | 1895 | 1912 - 1970 | panthers |\n| mckendree college | lebanon , illinois | 1828 | 1912 - 1938 | bearcats |\n| southern illinois university carbondale | carbondale , illinois | 1869 | 1913 - 1962 | maroons / salukis |\n| blackburn college | carlinville , illinois | 1837 | 1914 - 1923 | beavers |\n| st viator college (defunct) | bourbonnais , illinois | 1865 | 1916 - 1938 | irish / green |\n| western illinois university | macomb , illinois | 1899 | 1914 - 1970 | leathernecks |\n| knox college | galesburg , illinois | 1837 | 1919 - 1937 | prairie fire |\n| wheaton college | wheaton , illinois | 1860 | 1919 - 1937 | thunder |\n| lake forest college | lake forest , illinois | 1857 | 1919 - 1937 | foresters |\n| northern illinois university | dekalb , illinois | 1895 | 1920 - 1967 | huskies |\n| monmouth college | monmouth , illinois | 1853 | 1921 - 1937 | fighting scots |\n| mount morris college (defunct) | mount morris , illinois | 1839 | 1922 - 1931 | mountaineers / mounders |\n| elmhurst college | elmhurst , illinois | 1871 | 1925 - 1941 | bluejays |\n| north central college | naperville , illinois | 1861 | 1927 - 1937 | cardinals |\n| central michigan university | mount pleasant , michigan | 1892 | 1950 - 1970 | chippewas |" + } + ] + }, + { + "id": "table_recognition_train_item_105811", + "image": "table_instructV/images/ToTTo_train_table_24383.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| District | Previous | Reason for change | Subsequent | Date of successor's installation |\n| --- | --- | --- | --- | --- |\n| Iowa 9th | Walter I. Smith (R) | Resigned March 15, 1911, after being appointed judge for the United States Court of Appeals for the Eighth Circuit. | William R. Green (R) | June 5, 1911 |\n| Kansas 2nd | Alexander C. Mitchell (R) | Died July 7, 1911. | Joseph Taggart (D) | November 7, 1911 |\n| Pennsylvania 14th | George W. Kipp (D) | Died July 24, 1911. | William D.B. Ainey (R) | November 7, 1911 |\n| Tennessee 10th | George W. Gordon (D) | Died August 9, 1911. | Kenneth McKellar (D) | December 4, 1911 |\n| New Jersey 1st | Henry C. Loudenslager (R) | Died August 12, 1911. | William J. Browning (R) | November 7, 1911 |\n| Nebraska 3rd | James P. Latta (D) | Died September 11, 1911. | Dan V. Stephens (D) | November 7, 1911 |\n| Kansas 7th | Edmond H. Madison (R) | Died September 18, 1911. | George A. Neeley (D) | January 9, 1912 |\n| New Mexico Territory At-Large | William Henry Andrews (R) | New State January 6, 1912. | seat eliminated | |\n| New Mexico At-large | New seat | New State January 6, 1912. | Harvey B. Fergusson (D) | January 8, 1912 |\n| New Mexico At-large | New seat | New State January 6, 1912. | George Curry (R) | January 8, 1912 |\n| Arizona Territory At-large | Ralph H. Cameron (R) | New State February 14, 1912. | seat eliminated | |\n| Arizona At-large | New seat | New State February 14, 1912. | Carl Hayden (D) | February 19, 1912 |\n| Vermont 1st | David J. Foster (R) | Died March 21, 1912 | Frank L. Greene (R) | July 30, 1912 |\n| Pennsylvania 1st | Henry H. Bingham (R) | Died March 22, 1912. | William S. Vare (R) | May 24, 1912 |\n| Iowa 11th | Elbert H. Hubbard (R) | Died June 4, 1912. | George Cromwell Scott (R) | November 5, 1912 |\n| Louisiana 6th | Robert Charles Wickliffe (D) | Died June 11, 1912. | Lewis Lovering Morgan (D) | November 5, 1912 |\n| New York 26th | George R. Malby (R) | Died July 5, 1912. | Edwin A. Merritt (R) | November 5, 1912 |\n| Missouri 11th | Theron Ephron Catlin (R) | Lost contested election August 12, 1912. | Patrick F. Gill (D) | August 12, 1912 |\n| New Jersey 6th | William Hughes (D) | Resigned September 27, 1912, after being appointed to the Passaic County Court of Common Pleas. | Archibald C. Hart (D) | November 5, 1912 |\n| Ohio 13th | Carl C. Anderson (D) | Died October 1, 1912. | Seat remained vacant until next Congress | |\n| New York 21st | Richard E. Connell (D) | Died October 30, 1912. | Seat remained vacant until next Congress | |\n| Rhode Island 2nd | George H. Utter (R) | Died November 3, 1912. | Seat remained vacant until next Congress | |\n| Pennsylvania 11th | Charles C. Bowman (R) | Seat declared vacant December 12, 1912. | Seat remained vacant until next Congress | |\n| Pennsylvania 16th | John G. McHenry (D) | Died December 27, 1912. | Seat remained vacant until next Congress | |\n| New York 10th | William Sulzer (D) | Resigned December 31, 1912, after being elected Governor of New York. | Seat remained vacant until next Congress | |\n| Michigan 2nd | William Wedemeyer (R) | Died January 2, 1913. | Seat remained vacant until next Congress | |\n| North Dakota 1st | Louis B. Hanna (R) | Resigned January 7, 1913, after being elected Governor of North Dakota | Seat remained vacant until next Congress | |\n| Ohio 3rd | James M. Cox (D) | Resigned January 12, 1913, after being elected Governor of Ohio | Seat remained vacant until next Congress | |\n| Arkansas 6th | Joseph Taylor Robinson (D) | Resigned January 14, 1913, after being elected Governor of Arkansas | Samuel M. Taylor (D) | January 15, 1913 |\n| California 8th | Sylvester C. Smith (R) | Died January 26, 1913. | Seat remained vacant until next Congress | |\n| South Carolina 1st | George S. Legare (D) | Died January 31, 1913. | Seat remained vacant until next Congress | |\n| Texas 1st | J. Morris Sheppard (D) | Resigned February 3, 1913, after being elected to the U.S. Senate | Seat remained vacant until next Congress | |" + } + ] + }, + { + "id": "table_recognition_train_item_66754", + "image": "table_instructV/images/TabFact_1-25800134-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| series | season | title | director | writer (s) | airdate |\n| --- | --- | --- | --- | --- | --- |\n| 118 | 1 | matt for murder | richard whorf | john meston | september 13 , 1958 |\n| 119 | 2 | the patsy | richard whorf | john meston | september 20 , 1958 |\n| 120 | 3 | gunsmuggler | richard whorf | john meston | september 27 , 1958 |\n| 122 | 5 | letter of the law | richard whorf | john meston | october 11 , 1958 |\n| 123 | 6 | thoroughbreds | richard whorf | john meston | october 18 , 1958 |\n| 124 | 7 | stage hold - up | richard whorf | john meston | october 25 , 1958 |\n| 125 | 8 | lost rifle | richard whorf | john meston | november 1 , 1958 |\n| 126 | 9 | land deal | ted post | les crutchfield | november 8 , 1958 |\n| 127 | 10 | lynching man | richard whorf | john meston | november 15 , 1958 |\n| 128 | 11 | how to kill a friend | richard whorf | john meston | november 22 , 1958 |\n| 129 | 12 | grass | richard whorf | john meston | november 29 , 1958 |\n| 130 | 13 | the cast | jesse hibbs | john meston | december 6 , 1958 |\n| 131 | 14 | robber bridegroom | richard whorf | john meston | december 13 , 1958 |\n| 132 | 15 | snakebite | ted post | john meston | december 20 , 1958 |\n| 134 | 17 | young love | seymour berns | john meston | january 3 , 1959 |\n| 136 | 19 | passive resistance | ted post | john meston | january 17 , 1959 |\n| 138 | 21 | jayhawkers | andrew v mclaglen | john meston | january 31 , 1959 |\n| 140 | 23 | sky | ted post | les crutchfield | february 14 , 1959 |\n| 141 | 24 | doc quits | edward ludlum | john meston | february 21 , 1959 |\n| 142 | 25 | the bear | jesse hibbs | john meston | february 28 , 1959 |\n| 143 | 26 | the coward | jesse hibbs | john meston | march 7 , 1959 |\n| 144 | 27 | the fu | andrew v mclaglen | john meston | march 14 , 1959 |\n| 145 | 28 | wind | arthur hiller | john meston | march 21 , 1959 |\n| 146 | 29 | fawn | andrew v mclaglen | john meston | april 4 , 1959 |\n| 148 | 31 | murder warrant | andrew v mclaglen | john meston | april 18 , 1959 |\n| 149 | 32 | change of heart | andrew v mclaglen | john meston | april 25 , 1959 |\n| 150 | 33 | buffalo hunter | ted post | john meston | may 2 , 1959 |\n| 151 | 34 | the choice | ted post | john meston | may 9 , 1959 |\n| 152 | 35 | there never was a horse | andrew v mclaglen | john meston | may 16 , 1959 |\n| 153 | 36 | print asper | ted post | john meston | may 23 , 1959 |\n| 154 | 37 | the constable | arthur hiller | john meston | may 30 , 1959 |" + } + ] + }, + { + "id": "table_recognition_train_item_67240", + "image": "table_instructV/images/TabFact_2-10651482-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | august 12 , 1955 | college all - stars at chicago | l 30 - 27 | 75000 |\n| 2 | august 20 , 1955 | green bay packers at akron | w 13 - 7 | 22000 |\n| 3 | august 28 , 1955 | san francisco 49ers | l 17 - 14 | 41604 |\n| 4 | september 2 , 1955 | los angeles rams | l 38 - 21 | 35948 |\n| 5 | september 10 , 1955 | detroit lions | l 19 - 3 | 29581 |\n| 6 | september 15 , 1955 | chicago bears | l 24 - 21 | 43067 |" + } + ] + }, + { + "id": "table_recognition_train_item_55276", + "image": "table_instructV/images/TabFact_2-12617978-14.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| episode | first aired | entrepreneur (s) | company or product name | money requested | investing dragon (s) |\n| --- | --- | --- | --- | --- | --- |\n| episode 1 | 9 september 2012 | bee london | weave got style | 85000 | hilary devey |\n| episode 1 | 9 september 2012 | lewis blitz , james gold and richard gold | skinny dip | 120000 | peter jones |\n| episode 2 | 16 september 2012 | geoff and colette bell | shampooheads | 75000 | theo paphitis and hilary devey |\n| episode 3 | 23 september 2012 | helen and lisa tse | sweet mandarin | 50000 | hilary devey and duncan bannatyne |\n| episode 3 | 23 september 2012 | kellie forbes and gill hayward | yuubag | 60000 | peter jones and deborah meaden |\n| episode 4 | 30 september 2012 | harrison woods | primal parking | 60000 | peter jones and theo paphitis |\n| episode 5 | 7 october 2012 | kiryl chykeyuk and artsiom stavenka | old bond | 90000 | deborah meaden and theo paphitis |\n| episode 5 | 7 october 2012 | dupsy abiola | intern avenue | 100000 | peter jones |\n| episode 6 | 14 october 2012 | marie sawle | billy + margot | 60000 | deborah meaden |\n| episode 6 | 14 october 2012 | henry and philip blake | woodblocx | 75000 | peter jones |\n| episode 7 | 21 october 2012 | umer ashraf | icafe | 80000 | duncan bannatyne |\n| episode 7 | 21 october 2012 | ben hardyment | zapper | 250000 | theo paphitis |\n| episode 8 | 28 october 2012 | paul turner | a turner & sons sausage ltd | 80000 | peter jones |\n| episode 9 | 11 november 2012 | ashley sayed | karuma innovations | 150000 | peter jones |\n| episode 9 | 11 november 2012 | anne and keith proctor | pro - tec covers | 75000 | hilary devey and duncan bannatyne |\n| episode 10 | 18 november 2012 | mark richardson | bionic glove technology europe ltd | 100000 | deborah meaden and theo paphitis |\n| episode 11 | 25 november 2012 | mark ferguson and emma jones | mybunjee | 70000 | peter jones |\n| episode 11 | 25 november 2012 | luke booth and christopher eves | p4ck | 50000 | theo paphitis |\n| episode 12 | 2 december 2012 | naomi kibble and helen mcavoy | rocktails | 80000 | peter jones and duncan bannatyne |\n| episode 12 | 2 december 2012 | john spence | megaflatables | 37500 40000 was given instead | peter jones |\n| christmas special | 27 december 2012 | allison whitmarsh | propermaid | 50000 | deborah meaden |" + } + ] + }, + { + "id": "table_recognition_train_item_113747", + "image": "table_instructV/images/Rotowire_train_table_1216.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bulls | Chicago | 126 | 31 | 31 | 35 | 29 | 30 | 38 | 8 | 56 | 96 | 68 | 29 | 26 | | | | |\n| Lakers | Los Angeles | 115 | 30 | 28 | 23 | 34 | 13 | 44 | 7 | 46 | 67 | 33 | 11 | 46 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Derrick Rose | 31 | 24 | 7 | 6 | 8-15 | 53% | 0-1 | 0% | 8-8 | 100% | 0 | 2 | 0 | 3 | 4 | 2 | G | Chicago |\n| E'Twaun Moore | 41 | 24 | 4 | 1 | 10-14 | 71% | 4-4 | 100% | 0-0 | 0% | 1 | 1 | 1 | 1 | 3 | 1 | G | Chicago |\n| Pau Gasol | 38 | 21 | 7 | 5 | 7-15 | 47% | 1-1 | 100% | 6-6 | 100% | 0 | 0 | 5 | 0 | 7 | 2 | C | Chicago |\n| Bobby Portis | 25 | 17 | 7 | 3 | 6-9 | 67% | 3-3 | 100% | 2-2 | 100% | 0 | 2 | 0 | 0 | 7 | 5 | N/A | Chicago |\n| Mike Dunleavy | 25 | 17 | 1 | 2 | 4-6 | 67% | 2-3 | 67% | 7-7 | 100% | 0 | 0 | 0 | 1 | 0 | 3 | F | Chicago |\n| Doug McDermott | 21 | 16 | 0 | 0 | 6-9 | 67% | 3-4 | 75% | 1-1 | 100% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Chicago |\n| Taj Gibson | 29 | 5 | 8 | 4 | 2-5 | 40% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 1 | 2 | 6 | 5 | F | Chicago |\n| Aaron Brooks | 17 | 2 | 3 | 9 | 1-6 | 17% | 0-3 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 3 | 1 | N/A | Chicago |\n| Cristiano Felicio | 4 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 1 | N/A | Chicago |\n| Tony Snell | 9 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Chicago |\n| Jimmy Butler | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Justin Holiday | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Cameron Bairstow | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Lakers | | | | | | | | | | | | | | | | | | |\n| Julius Randle | 32 | 22 | 12 | 0 | 10-19 | 53% | 0-1 | 0% | 2-3 | 67% | 0 | 1 | 0 | 4 | 8 | 4 | F | Los Angeles |\n| Kobe Bryant | 27 | 22 | 4 | 1 | 8-20 | 40% | 1-7 | 14% | 5-7 | 71% | 0 | 0 | 0 | 2 | 2 | 1 | F | Los Angeles |\n| Jordan Clarkson | 37 | 20 | 9 | 4 | 7-16 | 44% | 2-5 | 40% | 4-6 | 67% | 1 | 1 | 0 | 4 | 5 | 4 | G | Los Angeles |\n| D'Angelo Russell | 34 | 15 | 2 | 6 | 6-13 | 46% | 2-2 | 100% | 1-2 | 50% | 1 | 2 | 0 | 1 | 1 | 2 | G | Los Angeles |\n| Brandon Bass | 27 | 13 | 7 | 1 | 4-5 | 80% | 0-0 | 0% | 5-6 | 83% | 1 | 1 | 2 | 4 | 3 | 2 | N/A | Los Angeles |\n| Lou Williams | 25 | 11 | 2 | 1 | 3-6 | 50% | 1-2 | 50% | 4-7 | 57% | 1 | 1 | 0 | 0 | 2 | 0 | N/A | Los Angeles |\n| Roy Hibbert | 21 | 6 | 3 | 0 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 2 | 4 | C | Los Angeles |\n| Nick Young | 21 | 3 | 1 | 0 | 1-6 | 17% | 1-4 | 25% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Los Angeles |\n| Larry Nance Jr. | 16 | 3 | 4 | 0 | 1-3 | 33% | 0-0 | 0% | 1-2 | 50% | 1 | 0 | 1 | 1 | 3 | 2 | N/A | Los Angeles |\n| Tarik Black | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Ryan Kelly | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Marcelo Huertas | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Robert Sacre | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |" + } + ] + }, + { + "id": "table_recognition_train_item_58942", + "image": "table_instructV/images/TabFact_1-25017530-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| pick | cfl team | player | position | college |\n| --- | --- | --- | --- | --- |\n| 24 | bc lions (via toronto ) | nate binder | wr | tusculum college |\n| 25 | bc lions (via toronto via edmonton via winnipeg) | akeem foster | wr | st francis xavier |\n| 26 | toronto argonauts (via bc ) | joel reinders | ot | waterloo |\n| 27 | hamilton tiger - cats (via edmonton ) | chris rwabukamba | db | duke |\n| 28 | winnipeg blue bombers (via hamilton ) | christopher smith | lb | queen 's |\n| 29 | winnipeg blue bombers (via calgary ) | anthony woodson | rb | calgary |\n| 30 | toronto argonauts (via bc via saskatchewan) | steven turner | wr | bishop 's |" + } + ] + }, + { + "id": "table_recognition_train_item_34962", + "image": "table_instructV/images/TABMWP_19339.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Number of bags | Number of red beads |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_106709", + "image": "table_instructV/images/ToTTo_train_table_28202.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Title | Year | Format | Role | Notes |\n| --- | --- | --- | --- | --- |\n| Dark Realm | 2001 | TV series | Girl | Episode: \"She's the One\" |\n| My Family | 2001 | TV series | Donna | Episode: \"Trust Never Sleeps\" |\n| Sirens | 2002 | TV film | Helen Grey | |\n| Footballers' Wives | 2002–2003 | TV series | Chardonnay Lane-Pascoe | Regular role |\n| Modigliani | 2004 | Film | Beatrice Hastings | |\n| La Femme Musketeer | 2004 | TV film | Valentine D'Artagnan | |\n| House of 9 | 2004 | Film | Claire Levy | |\n| Dead Fish | 2005 | Film | Hostess | |\n| Hotel Babylon | 2006 | TV series | Alice | 1 episode |\n| The Royal | 2006 | TV series | Debbie Guthrie | Episode: \"Thinking Too Hard\" |\n| Doctors | 2006 | Soap opera | Megan Reeves | Episode: \"Running Time\" |\n| Two Families | 2007 | Film | Giulia | |\n| New Street Law | 2007 | TV series | Tessa Darling | |\n| Coronation Street | 2007 | Soap opera | Lindsey Gordon | 3 episodes |\n| Echo Beach | 2008 | TV series | Angela Cole | 12 episodes |\n| Plus One | 2009 | TV series | Nicola Dare | Episode: \"I Do a Lot of Work for Charity\" |\n| Lesbian Vampire Killers | 2009 | Film | Blonde | |\n| Psych 9 | 2010 | Film | Anne Marks | |\n| Pimp | 2010 | Film | Tammy | |\n| Love Like Hers | 2012 | Film (short) | Mother | |\n| Silent Hours | 2015 | Film | Rosemary Calthorpe | |\n| Doctors | 2016 | Soap opera | Jules Moule | Episode: \"Without You\" |\n| Death in Paradise | 2016 | TV series | Ella Thomas | 1 Episode: \"Lost Identity\" |\n| Casualty | 2017 | TV series | Susan Beckett | 1 Episode |\n| Hollyoaks | 2018– | Soap opera | Scarlett Morgan | Recurring role |\n| Holby City | 2018 | TV series | Susan Beckett | 1 Episode |" + } + ] + }, + { + "id": "table_recognition_train_item_63592", + "image": "table_instructV/images/TabFact_2-12015554-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| date | opponent | score | loss | save |\n| --- | --- | --- | --- | --- |\n| may 1 | royals | 6 - 5 | grimsley (1 - 2) | lyon (2) |\n| may 2 | twins | 11 - 7 | mendoza (1 - 1) | ||31317||19 - 10 |\n| may 3 | twins | 9 - 1 | fiore (1 - 1) | ||33061||20 - 10 |\n| may 4 | twins | 9 - 4 | timlin (3 - 1) | ||32887||20 - 11 |\n| may 5 | royals | 7 - 6 | lyon (1 - 1) | ||21232||20 - 12 |\n| may 6 | royals | 7 - 3 | affeldt (2 - 1) | ||15848||21 - 12 |\n| may 7 | royals | 9 - 6 | lopez (4 - 1) | lyon (3) |\n| may 9 | twins | 5 - 0 | martínez (3 - 2) | ||28436||22 - 13 |\n| may 10 | twins | 6 - 5 | rincón (1 - 1) | lyon (4) |\n| may 11 | twins | 9 - 8 | lowe (3 - 3) | guardado (8) |\n| may 13 | rangers | 5 - 4 | cordero (1 - 4) | lyon (5) |\n| may 14 | rangers | 7 - 1 | benoit (1 - 1) | ||32485||25 - 14 |\n| may 15 | rangers | 12 - 3 | benes (0 - 2) | ||33801||26 - 14 |\n| may 16 | angels | 6 - 5 | embree (2 - 1) | percival (6) |\n| may 17 | angels | 6 - 2 | timlin (3 - 2) | percival (7) |\n| may 18 | angels | 5 - 3 | lackey (2 - 4) | person (1) |\n| may 19 | yankees | 7 - 3 | fossum (4 - 2) | ||35099||27 - 17 |\n| may 20 | yankees | 10 - 7 | contreras (1 - 1) | lyon (6) |\n| may 21 | yankees | 4 - 2 | wakefield (4 - 2) | rivera (4) |\n| may 23 | indians | 9 - 2 | rodríguez (2 - 5) | ||32673||29 - 18 |\n| may 24 | indians | 12 - 3 | anderson (2 - 5) | ||32643||30 - 18 |\n| may 25 | indians | 6 - 4 | fossum (4 - 3) | báez (9) |\n| may 26 | yankees | 8 - 4 | clemens (6 - 3) | ||55093||31 - 19 |\n| may 27 | yankees | 11 - 3 | chen (0 - 1) | ||44769||31 - 20 |\n| may 28 | yankees | 6 - 5 | lyon (1 - 2) | ||44617||31 - 21 |\n| may 30 | blue jays | 13 - 2 | burkett (3 - 3) | ||21381||31 - 22 |\n| may 31 | blue jays | 10 - 7 | fossum (4 - 4) | politte (9) |" + } + ] + }, + { + "id": "table_recognition_train_item_34157", + "image": "table_instructV/images/TABMWP_36481.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $700 | 16,800 | 3,100 |\n| $710 | 13,600 | 7,000 |\n| $720 | 10,400 | 10,900 |\n| $730 | 7,200 | 14,800 |\n| $740 | 4,000 | 18,700 |" + } + ] + }, + { + "id": "table_recognition_train_item_111969", + "image": "table_instructV/images/Rotowire_train_table_327.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Jazz | Utah | 96 | 21 | 19 | 29 | 20 | 14 | 54 | 15 | 40 | 45 | 28 | 37 | 38 | | | | |\n| Warriors | Golden State | 103 | 26 | 16 | 21 | 26 | 19 | 46 | 18 | 44 | 72 | 34 | 68 | 7 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Jazz | | | | | | | | | | | | | | | | | | |\n| Gordon Hayward | 46 | 21 | 4 | 1 | 7-20 | 35% | 3-9 | 33% | 4-8 | 50% | 3 | 4 | 0 | 3 | 1 | 4 | F | Utah |\n| Rodney Hood | 39 | 20 | 6 | 0 | 7-16 | 44% | 3-9 | 33% | 3-5 | 60% | 1 | 1 | 0 | 1 | 5 | 2 | G | Utah |\n| Derrick Favors | 19 | 15 | 7 | 0 | 7-11 | 64% | 0-0 | 0% | 1-4 | 25% | 1 | 0 | 0 | 3 | 4 | 1 | F | Utah |\n| Shelvin Mack | 41 | 12 | 6 | 9 | 5-17 | 29% | 1-5 | 20% | 1-2 | 50% | 2 | 3 | 0 | 2 | 4 | 5 | G | Utah |\n| Rudy Gobert | 38 | 11 | 18 | 2 | 5-10 | 50% | 0-0 | 0% | 1-4 | 25% | 0 | 1 | 2 | 4 | 14 | 4 | C | Utah |\n| Trey Lyles | 25 | 6 | 5 | 1 | 3-9 | 33% | 0-4 | 0% | 0-0 | 0% | 2 | 0 | 0 | 1 | 4 | 3 | N/A | Utah |\n| Raul Neto | 12 | 5 | 1 | 0 | 1-2 | 50% | 1-1 | 100% | 2-2 | 100% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Utah |\n| Trevor Booker | 14 | 3 | 5 | 1 | 1-4 | 25% | 0-1 | 0% | 1-4 | 25% | 0 | 3 | 0 | 2 | 3 | 2 | N/A | Utah |\n| Joe Ingles | 31 | 3 | 2 | 0 | 1-3 | 33% | 1-3 | 33% | 0-0 | 0% | 2 | 2 | 0 | 0 | 2 | 1 | N/A | Utah |\n| Trey Burke | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Chris Johnson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Jeff Withey | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 42 | 31 | 7 | 4 | 11-23 | 48% | 5-10 | 50% | 4-5 | 80% | 2 | 5 | 0 | 2 | 5 | 4 | G | Golden State |\n| Klay Thompson | 39 | 18 | 4 | 1 | 6-15 | 40% | 3-8 | 38% | 3-4 | 75% | 0 | 0 | 0 | 0 | 4 | 1 | G | Golden State |\n| Harrison Barnes | 42 | 15 | 11 | 1 | 6-15 | 40% | 1-8 | 13% | 2-4 | 50% | 0 | 0 | 0 | 1 | 10 | 2 | F | Golden State |\n| Draymond Green | 43 | 13 | 8 | 6 | 5-10 | 50% | 1-3 | 33% | 2-3 | 67% | 0 | 4 | 3 | 2 | 6 | 3 | F | Golden State |\n| Leandro Barbosa | 14 | 7 | 1 | 0 | 3-5 | 60% | 1-2 | 50% | 0-0 | 0% | 2 | 0 | 0 | 0 | 1 | 0 | N/A | Golden State |\n| Shaun Livingston | 28 | 6 | 6 | 4 | 2-6 | 33% | 0-0 | 0% | 2-2 | 100% | 2 | 2 | 1 | 1 | 5 | 2 | N/A | Golden State |\n| Ian Clark | 9 | 5 | 1 | 0 | 2-3 | 67% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Golden State |\n| Andrew Bogut | 17 | 4 | 5 | 2 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 1 | 1 | 4 | 4 | C | Golden State |\n| Marreese Speights | 12 | 4 | 1 | 0 | 2-4 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 3 | 1 | 1 | 0 | 3 | N/A | Golden State |\n| Anderson Varejao | 9 | 0 | 1 | 1 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 1 | N/A | Golden State |\n| Brandon Rush | 9 | 0 | 1 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Golden State |\n| James Michael McAdoo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |" + } + ] + }, + { + "id": "table_recognition_train_item_32079", + "image": "table_instructV/images/TABMWP_14156.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Number of shelves | Number of blocks of cheese |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | 40 |\n| 5 | 50 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_59708", + "image": "table_instructV/images/TabFact_1-12886178-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| club | played | won | drawn | lost | points for | points against | tries for | tries against | try bonus | losing bonus | points |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| club | played | won | drawn | lost | points for | points against | tries for | tries against | try bonus | losing bonus | points |\n| garndiffaith rfc | 22 | 18 | 1 | 3 | 611 | 321 | 86 | 42 | 13 | 1 | 88 |\n| pill harriers rfc | 22 | 16 | 0 | 6 | 561 | 341 | 84 | 41 | 13 | 3 | 80 |\n| pontypool united rfc | 22 | 12 | 2 | 8 | 411 | 280 | 51 | 31 | 5 | 4 | 61 |\n| croesyceiliog rfc | 22 | 12 | 1 | 9 | 381 | 315 | 53 | 38 | 4 | 4 | 58 |\n| rhymney rfc | 22 | 11 | 1 | 10 | 487 | 368 | 68 | 44 | 7 | 4 | 57 |\n| nelson rfc | 22 | 11 | 1 | 10 | 406 | 335 | 48 | 42 | 5 | 6 | 57 |\n| blaina rfc | 22 | 12 | 0 | 10 | 376 | 417 | 40 | 51 | 2 | 1 | 51 |\n| newport hsob rfc | 22 | 9 | 0 | 13 | 298 | 503 | 37 | 70 | 2 | 3 | 41 |\n| gwernyfed rfc | 22 | 8 | 1 | 13 | 367 | 438 | 44 | 55 | 4 | 3 | 41 |\n| cwmbran rfc | 22 | 9 | 0 | 13 | 265 | 412 | 29 | 55 | 0 | 3 | 39 |\n| abertillery rfc | 22 | 8 | 1 | 13 | 290 | 420 | 33 | 54 | 1 | 3 | 38 |\n| new tredegar rfc | 22 | 1 | 2 | 19 | 275 | 578 | 33 | 83 | 2 | 6 | 16 |" + } + ] + }, + { + "id": "table_recognition_train_item_108024", + "image": "table_instructV/images/ToTTo_train_table_33682.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Civil Parish | Council Area | County 1891 | Settlements | Notes | Area (hectares) (1930 boundaries) | Population (2011) (1930 boundaries) |\n| --- | --- | --- | --- | --- | --- | --- |\n| Abbey St Bathans | Scottish Borders | Berwickshire | | | 3,019 | 106 |\n| Abdie | Fife | Fife | | | 728 | 421 |\n| Abercorn | Falkirk West Lothian | Linlithgowshire | | | 1,317 | 458 |\n| Aberdalgie | Perth and Kinross | Perthshire | | | 1,155 | 402 |\n| Aberdeen | City of Aberdeen | Aberdeenshire | | | 4,519 | 160,738 |\n| Aberdour | Aberdeenshire | Aberdeenshire | | | 6,920 | 763 |\n| Aberdour | Fife | Fife | | | 3,566 | 1,972 |\n| Aberfoyle | Stirling | Perthshire | | | 4,986 | 1,065 |\n| Aberlady | East Lothian | Haddingtonshire | | | 1,885 | 1,514 |\n| Aberlemno | Angus | Forfarshire | | | 4,705 | 544 |\n| Aberlour | Moray | Banffshire | | | 4,026 | 2,204 |\n| Abernethy | Fife Perth and Kinross | Perthshire | | Partly in Fife until 1891 | 3,418 | 1,826 |\n| Abernethy and Kincardine | Highland | Inverness-shire | | Partly in Morayshire until 1891 | 34,992 | 1,302 |\n| Abernyte | Perth and Kinross | Perthshire | | | 1,906 | 244 |\n| Aboyne and Glen Tanar | Aberdeenshire | Aberdeenshire | | | 12,172 | 2,961 |\n| Airlie | Angus | Forfarshire | | | 4,247 | 506 |\n| Airth | Falkirk | Stirlingshire | | | 2,914 | 2,438 |\n| Alford | Aberdeenshire | Aberdeenshire | | | 3,736 | 2,860 |\n| Alloa | Clackmannanshire | Clackmannanshire | | Partly in Perthshire until 1891 | 5,489 | 30,443 |\n| Alness | Highland | Ross and Cromarty | | | 534 | 3,093 |\n| Alva | Clackmannanshire | Clackmannanshire | | In Stirlingshire until 1891 | 248 | 7,577 |\n| Alvah | Aberdeenshire | Banffshire | | Partly in Aberdeenshire until 1891 | 6,011 | 665 |\n| Alves | Moray | Morayshire | | | 2,158 | 505 |\n| Alvie | Highland | Inverness-shire | | | 29,525 | 564 |\n| Alyth | Perth and Kinross | Perthshire | | Partly in Forfarshire until 1891 | 7,874 | 3,054 |\n| Ancrum | Scottish Borders | Roxburghshire | | | 4,916 | 824 |\n| Annan | Dumfries and Galloway | Dumfriesshire | | | 5,762 | 10,503 |\n| Anstruther Easter | Fife | Fife | | | 10 | 315 |\n| Anstruther Wester | Fife | Fife | | | 41 | 741 |\n| Anwoth | Dumfries and Galloway | Kirkcudbrightshire | | | 3,125 | 737 |\n| Applecross | Highland | Ross and Cromarty | Shieldaig | | 47,522 | 576 |\n| Applegarth | Dumfries and Galloway | Dumfriesshire | | | 6,179 | 498 |\n| Arbirlot | Angus | Forfarshire | | | 2,325 | 1,082 |\n| Arbroath and St Vigeans | Angus | Forfarshire | | | 5,664 | 25,026 |\n| Arbuthnott | Aberdeenshire | Kincardineshire | | | 4,233 | 427 |\n| Ardchattan and Muckairn | Argyll and Bute Highland | Argyllshire | Bonawe, Connel, Taynuilt | | 35,378 | 2,536 |\n| Ardclach | Highland | Nairnshire | | | 25,402 | 483 |\n| Ardersier | Highland | Inverness-shire | | | 1,463 | 1,167 |\n| Ardgour | Highland | Argyllshire | | | 48,545 | 441 |\n| Ardnamurchan | Highland | Argyllshire | | | 32,156 | 1,144 |\n| Ardoch | Perth and Kinross | Perthshire | | | 10,690 | 1,156 |\n| Ardrossan | North Ayrshire | Ayrshire | | | 1,892 | 21,833 |\n| Arisaig and Moidart | Highland | Inverness-shire | Ardmolich, Arisaig, Glenfinnan, Lochailort | | 55,629 | 894 |\n| Arngask | Perth and Kinross | Perthshire | | Partly in Fife, partly in Kinross-shire until 1891 | 2,004 | 931 |\n| Arrochar | Argyll and Bute | Dunbartonshire | Ardlui, Arrochar, Tarbet | | 11,391 | 728 |\n| Ashkirk | Scottish Borders | Selkirkshire | | Mostly in Roxburghshire until 1891 | 3,786 | 246 |\n| Assynt | Highland | Sutherland | | | 47,932 | 1,021 |\n| Athelstaneford | East Lothian | Haddingtonshire | | | 2,162 | 720 |\n| Auchindoir and Kearn | Aberdeenshire | Aberdeenshire | | | 8,576 | 545 |\n| Auchinleck | East Ayrshire | Ayrshire | | | 6,482 | 5,852 |\n| Auchterarder | Perth and Kinross | Perthshire | | | 4,814 | 4,747 |\n| Auchterderran | Fife | Fife | | | 2,944 | 11,732 |\n| Auchtergaven | Perth and Kinross | Perthshire | | | 8,528 | 2,748 |\n| Auchterhouse | Angus | Forfarshire | | | 2,224 | 700 |\n| Auchterless | Aberdeenshire | Aberdeenshire | | | 6,789 | 819 |\n| Auchtermuchty | Fife | Fife | | | 2,285 | 2,603 |\n| Auchtertool | Fife | Fife | | | 19 | 419 |\n| Auldearn | Highland | Nairnshire | | | 6,000 | 1,350 |\n| Avoch | Highland | Ross and Cromarty | | | 2,466 | 1,408 |\n| Avondale | South Lanarkshire | Lanarkshire | | | 17,075 | 8,787 |\n| Ayr | South Ayrshire | Ayrshire | | | 4,860 | 47,120 |\n| Ayton | Scottish Borders | Berwickshire | | | 2,088 | 1,786 |\n| Baldernock | East Dunbartonshire | Stirlingshire | | | 2,875 | 1,482 |\n| Balfron | Stirling | Stirlingshire | | | 4,283 | 2,156 |\n| Ballantrae | Dumfries and Galloway South Ayrshire | Ayrshire | | | 9,574 | 636 |\n| Ballingry | Fife | Fife | | Partly in Kinross-shire until 1891 | 1,178 | 7,452 |\n| Balmaclellan | Dumfries and Galloway | Kirkcudbrightshire | | | 12,948 | 476 |\n| Balmaghie | Dumfries and Galloway | Kirkcudbrightshire | | | 6,399 | 567 |\n| Balmerino | Fife | Fife | | | 1,415 | 946 |\n| Balquhidder | Stirling | Perthshire | Balquhidder, Lochearnhead | | 21,145 | 663 |\n| Banchory-Devenick | Aberdeenshire | Kincardineshire | | | 3,364 | 8,823 |\n| Banchory-Ternan | Aberdeenshire | Kincardineshire | | Partly in Aberdeenshire until 1891 | 8,524 | 8,915 |\n| Banff | Aberdeenshire | Banffshire | | | 2,861 | 4,420 |\n| Barr | South Ayrshire | Ayrshire | | | 1,418 | 240 |\n| Barra | Na h-Eileanan Siar | Inverness-shire | Castlebay | | 9,199 | 1,264 |\n| Barry | Angus | Forfarshire | | | 2,415 | 8,276 |\n| Barvas | Na h-Eileanan Siar | Ross and Cromarty | | | 41,089 | 3,244 |\n| Bathgate | West Lothian | Linlithgowshire | | | 4,953 | 32,691 |\n| Beath | Fife | Fife | | | 3,533 | 17,351 |\n| Bedrule | Scottish Borders | Roxburghshire | | | 1,626 | 183 |\n| Beith | North Ayrshire | Ayrshire | | Partly in Renfrewshire until 1891 | 5,025 | 7,369 |\n| Belhelvie | Aberdeenshire | Aberdeenshire | | | 5,080 | 5,082 |\n| Bellie | Moray | Morayshire | | Partly in Banffshire until 1891 | 6,513 | 2,498 |\n| Bendochy | Perth and Kinross | Perthshire | | | 797 | 67 |\n| Benholm | Aberdeenshire | Kincardineshire | | | 1,826 | 877 |\n| Bervie | Aberdeenshire | Kincardineshire | | | 1,086 | 3,087 |\n| Biggar | South Lanarkshire | Lanarkshire | | | 3,198 | 2,722 |\n| Birnie | Moray | Morayshire | | | 2,375 | 351 |\n| Birsay and Harray | Orkney | Orkney | | | 10,594 | 1,389 |\n| Birse | Aberdeenshire | Aberdeenshire | | | 14,682 | 899 |\n| Blackford | Perth and Kinross | Perthshire | | | 9,315 | 1,628 |\n| Blair Atholl | Perth and Kinross | Perthshire | | | 71,720 | 926 |\n| Blairgowrie | Perth and Kinross | Perthshire | | | 6,824 | 6,470 |\n| Blantyre | South Lanarkshire | Lanarkshire | | | 1,433 | 18,296 |\n| Boharm | Moray | Banffshire | | Partly in Morayshire until 1891 | 7,001 | 534 |\n| Boleskine and Abertarff | Highland | Inverness-shire | | | 45,704 | 1,384 |\n| Bolton | East Lothian | Haddingtonshire | | | 465 | 110 |\n| Bo'ness and Carriden | Falkirk | Linlithgowshire | | | 2,650 | 15,540 |\n| Bonhill | Argyll and Bute West Dunbartonshire | Dunbartonshire | | | 2,017 | 20,684 |\n| Borgue | Dumfries and Galloway | Kirkcudbrightshire | | | 5,374 | 495 |\n| Borthwick | Midlothian | Midlothian | | | 2,916 | 2,841 |\n| Bothwell | North Lanarkshire South Lanarkshire | Lanarkshire | | | 5,319 | 80,437 |\n| Botriphnie | Moray | Banffshire | | | 4,747 | 344 |\n| Bourtie | Aberdeenshire | Aberdeenshire | | | 2,802 | 430 |\n| Bowden | Scottish Borders | Roxburghshire | | | 2,083 | 579 |\n| Bower | Highland | Caithness | | | 10,032 | 633 |\n| Boyndie | Aberdeenshire | Banffshire | | | 3,754 | 1,604 |\n| Bracadale | Highland | Inverness-shire | Bracadale, Bualintur, Drynoch, Fiskavaig, Portnalong, Talisker | | 37,999 | 799 |\n| Brechin | Angus | Forfarshire | | | 3,988 | 8,075 |\n| Bressay | Shetland | Zetland | | | 3,086 | 368 |\n| Broughton, Glenholm and Kilbucho | Scottish Borders | Peeblesshire | | United in 1870 | 13,636 | 648 |\n| Buchanan | Stirling | Stirlingshire | | | 24,096 | 550 |\n| Buittle | Dumfries and Galloway | Kirkcudbrightshire | | | 5,522 | 582 |\n| Bunkle and Preston | Scottish Borders | Berwickshire | | | 3,395 | 344 |\n| Burntisland | Fife | Fife | | | 911 | 6,383 |\n| Cabrach | Moray | Banffshire | | Partly in Aberdeenshire until 1891 | 13,016 | 69 |\n| Cadder | East Dunbartonshire City of Glasgow North Lanarkshire | Lanarkshire | | | 5,756 | 52,967 |\n| Caddonfoot | Scottish Borders | Selkirkshire | | | 8,317 | 912 |\n| Caerlaverock | Dumfries and Galloway | Dumfriesshire | | | 3,419 | 635 |\n| Cairnie | Aberdeenshire | Aberdeenshire | | | 6,184 | 569 |\n| Callander | Stirling | Perthshire | | | 17,698 | 3,463 |\n| Cambuslang | South Lanarkshire | Lanarkshire | | | 2,424 | 26,426 |\n| Cambusnethan | North Lanarkshire | Lanarkshire | | | 4,371 | 44,218 |\n| Cameron | Fife | Fife | | | 3,049 | 415 |\n| Campbeltown | Argyll and Bute | Argyllshire | | | 17,727 | 6,230 |\n| Campsie | East Dunbartonshire | Stirlingshire | | | 7,339 | 10,630 |\n| Canisbay | Highland | Caithness | | | 10,098 | 927 |\n| Canonbie | Dumfries and Galloway | Dumfriesshire | | | 7,628 | 1,192 |\n| Caputh | Perth and Kinross | Perthshire | | Partly in Forfarshire until 1891 | 5,121 | 688 |\n| Cardross | Argyll and Bute West Dunbartonshire | Dunbartonshire | | | 4,487 | 12,286 |\n| Careston | Angus | Forfarshire | | | N/A | N/A |\n| Cargill | Perth and Kinross | Perthshire | | | 4,836 | 1,255 |\n| Carluke | South Lanarkshire | Lanarkshire | | | 7,076 | 18,329 |\n| Carmichael | South Lanarkshire | Lanarkshire | | | 6,711 | 991 |\n| Carmunnock | City of Glasgow South Lanarkshire | Lanarkshire | | Partly in Renfrewshire until 1891 | 1,022 | 24,482 |\n| Carmyllie | Angus | Forfarshire | | | 2,892 | 477 |\n| Carnbee | Fife | Fife | | | 2,054 | 320 |\n| Carnock | Fife | Fife | | | 1,696 | 5,927 |\n| Carnwath | South Lanarkshire | Lanarkshire | | | 12,927 | 6,166 |\n| Carrington | Midlothian | Midlothian | | | 3,523 | 316 |\n| Carsphairn | Dumfries and Galloway East Ayrshire | Kirkcudbrightshire | | | 30,307 | 201 |\n| Carstairs | South Lanarkshire | Lanarkshire | | | 1,900 | 1,986 |\n| Castleton | Scottish Borders | Roxburghshire | | | 26,931 | 1,057 |\n| Cathcart | East Renfrewshire City of Glasgow South Lanarkshire | Renfrewshire | | Partly in Lanarkshire until 1891 | 1,183 | 62,519 |\n| Cavers | Scottish Borders | Roxburghshire | | | 11,257 | 1,085 |\n| Cawdor | Highland | Nairnshire | | Partly in Inverness-shire until 1891 | 4,594 | 560 |\n| Ceres | Fife | Fife | | | 3,901 | 1,455 |\n| Channelkirk | Scottish Borders | Berwickshire | | | 5,393 | 492 |\n| Chapel of Garioch | Aberdeenshire | Aberdeenshire | | | 6,920 | 1,705 |\n| Chirnside | Scottish Borders | Berwickshire | | | 2,646 | 1,751 |\n| Clackmannan | Clackmannanshire | Clackmannanshire | | | 2,894 | 3,773 |\n| Clatt | Aberdeenshire | Aberdeenshire | | | 1,830 | 155 |\n| Cleish | Perth and Kinross | Kinross-shire | | | 2,819 | 685 |\n| Closeburn | Dumfries and Galloway | Dumfriesshire | | | 12,835 | 1,146 |\n| Clunie | Perth and Kinross | Perthshire | | | 3,305 | 472 |\n| Cluny | Aberdeenshire | Aberdeenshire | | | 4,420 | 962 |\n| Clyne | Highland | Sutherland | | | 15,760 | 1,765 |\n| Cockburnspath | Scottish Borders | Berwickshire | | | 6,046 | 761 |\n| Cockpen | Midlothian | Midlothian | | | 1,131 | 10,466 |\n| Coldingham | Scottish Borders | Berwickshire | | | 11,146 | 1,919 |\n| Coldstream | Scottish Borders | Berwickshire | | | 3,575 | 2,260 |\n| Coll | Argyll and Bute | Argyllshire | | | 7,600 | 195 |\n| Collace | Perth and Kinross | Perthshire | | | 2,531 | 528 |\n| Collessie | Fife | Fife | | | 1,745 | 1,921 |\n| Colmonell | South Ayrshire | Ayrshire | | | 29,844 | 952 |\n| Colonsay and Oronsay | Argyll and Bute | Argyllshire | | | 4,581 | 132 |\n| Colvend and Southwick | Dumfries and Galloway | Kirkcudbrightshire | | | 7,030 | 974 |\n| Comrie | Perth and Kinross Stirling | Perthshire | | | 32,006 | 2,513 |\n| Contin | Highland | Ross and Cromarty | | | 60,880 | 1,055 |\n| Cortachy and Clova | Angus | Forfarshire | | | 21,977 | 305 |\n| Coull | Aberdeenshire | Aberdeenshire | | | 3,867 | 264 |\n| Coupar Angus | Perth and Kinross | Perthshire | | Partly in Fife until 1891 | 1,617 | 2,667 |\n| Covington | South Lanarkshire | Lanarkshire | | | 2,177 | 772 |\n| Coylton | East Ayrshire South Ayrshire | Ayrshire | | | 6,603 | 3,770 |\n| Craig | Angus | Forfarshire | | | 1,071 | 1,292 |\n| Craigie | South Ayrshire | Ayrshire | | | 2,695 | 424 |\n| Craignish | Argyll and Bute | Argyllshire | | | 4,817 | 374 |\n| Crail | Fife | Fife | | | 2,063 | 1,812 |\n| Crailing | Scottish Borders | Roxburghshire | | | 1,851 | 241 |\n| Cranshaws | Scottish Borders | Berwickshire | | | 5,337 | 95 |\n| Cranston | Midlothian | Midlothian | | | 1,274 | 601 |\n| Crathie and Braemar | Aberdeenshire | Aberdeenshire | | | 76,584 | 808 |\n| Crawford | South Lanarkshire | Lanarkshire | | | 24,574 | 871 |\n| Crawfordjohn | South Lanarkshire | Lanarkshire | | | 11,623 | 546 |\n| Creich | Fife | Fife | | | 1,013 | 190 |\n| Creich | Highland | Sutherland | | | 15,514 | 1,111 |\n| Crichton | Midlothian | Midlothian | | | 3,259 | 1,223 |\n| Crieff | Perth and Kinross | Perthshire | | | 5,097 | 7,236 |\n| Crimond | Aberdeenshire | Aberdeenshire | | | 42 | 851 |\n| Cromarty | Highland | Ross and Cromarty | | | 2,529 | 906 |\n| Cromdale, Inverallan and Advie | Highland | Morayshire | | Partly in Inverness-shire until 1862 | 27,496 | 3,295 |\n| Cross and Burness | Orkney | Orkney | | Part of the island of Sanday (see also Lady) | 4,136 | 408 |\n| Crossmichael | Dumfries and Galloway | Kirkcudbrightshire | | | 4,110 | 2,287 |\n| Croy and Dalcross | Highland | Inverness-shire | | Partly in Nairnshire until 1891 | 6,073 | 1,692 |\n| Cruden | Aberdeenshire | Aberdeenshire | | | 7,494 | 3,502 |\n| Cullen | Moray | Banffshire | | | 455 | 1,628 |\n| Culross | Fife | Fife | | Detached part of Perthshire until 1891 | 2,409 | 4,348 |\n| Culsalmond | Aberdeenshire | Aberdeenshire | | | 4,063 | 492 |\n| Culter or Coulter | South Lanarkshire | Lanarkshire | | | 4,177 | 278 |\n| Cults | Fife | Fife | | | 1,608 | 392 |\n| Cumbernauld | North Lanarkshire | Dunbartonshire | | | 4,974 | 50,945 |\n| Cumbrae | North Ayrshire | Bute | | | 1,430 | 1,376 |\n| Cummertrees | Dumfries and Galloway | Dumfriesshire | | | 2,138 | 507 |\n| Cupar | Fife | Fife | | | 2,452 | 11,183 |\n| Currie | City of Edinburgh | Midlothian | | | 5,425 | 13,640 |\n| Dailly | South Ayrshire | Ayrshire | | | 17,918 | 1,272 |\n| Dairsie | Fife | Fife | | | 1,138 | 387 |\n| Dalgety | Fife | Fife | | | 714 | 10,777 |\n| Dalkeith | Midlothian | Midlothian | | | 858 | 7,075 |\n| Dallas | Moray | Morayshire | | | 9,674 | 405 |\n| Dalmellington | East Ayrshire | Ayrshire | | | 3,204 | 3,603 |\n| Dalmeny | City of Edinburgh | Linlithgowshire | | Partly in Midlothian until 1891 | 2,448 | 9,388 |\n| Dalry | Dumfries and Galloway | Kirkcudbrightshire | | | 3,382 | 510 |\n| Dalry | North Ayrshire | Ayrshire | | | 9,082 | 6,252 |\n| Dalrymple | East Ayrshire | Ayrshire | | | 3,595 | 1,917 |\n| Dalserf | South Lanarkshire | Lanarkshire | | | 3,459 | 17,683 |\n| Dalton | Dumfries and Galloway | Dumfriesshire | | | 3,921 | 614 |\n| Dalziel | North Lanarkshire | Lanarkshire | | | 1,408 | 30,968 |\n| Daviot | Aberdeenshire | Aberdeenshire | | | 2,429 | 855 |\n| Daviot and Dunlichity | Highland | Inverness-shire | | Partly in Nairnshire until 1891 | 23,440 | 1,256 |\n| Delting | Shetland | Zetland | | | 14,716 | 1,864 |\n| Denny | Falkirk | Stirlingshire | | | 3,459 | 18,300 |\n| Deskford | Moray | Banffshire | | | 2,762 | 189 |\n| Dingwall | Highland | Ross and Cromarty | | | 404 | 5,804 |\n| Dirleton | East Lothian | Haddingtonshire | | | 3,153 | 3,893 |\n| Dollar | Clackmannanshire | Clackmannanshire | | | 1,908 | 3,035 |\n| Dolphinton | South Lanarkshire | Lanarkshire | | | 1,264 | 255 |\n| Dores | Highland | Inverness-shire | | | 13,975 | 559 |\n| Dornoch | Highland | Sutherland | | | 15,238 | 2,478 |\n| Dornock | Dumfries and Galloway | Dumfriesshire | | | 2,500 | 2,235 |\n| Douglas | South Lanarkshire | Lanarkshire | | | 14,437 | 2,301 |\n| Drainie | Moray | Morayshire | | | 3,558 | 8,653 |\n| Dreghorn | North Ayrshire | Ayrshire | | | 2,769 | 6,296 |\n| Dron | Perth and Kinross | Perthshire | | | 3,299 | 270 |\n| Drumblade | Aberdeenshire | Aberdeenshire | | | 5,417 | 502 |\n| Drumelzier | Scottish Borders | Peeblesshire | | | N/A | N/A |\n| Drumoak | Aberdeenshire | Aberdeenshire | | Partly in Kincardineshire until 1891 | 2,813 | 1,409 |\n| Dryfesdale | Dumfries and Galloway | Dumfriesshire | | | 2,997 | 4,580 |\n| Drymen | Stirling | Stirlingshire | | | 8,290 | 1,650 |\n| Duffus | Moray | Morayshire | | | 3,033 | 4,610 |\n| Duirinish | Highland | Inverness-shire | Borrodale, Colbost, Dunvegan, Edinbane, Geary, Halistra, Milovaig, Roag | | 32,505 | 1,464 |\n| Dull | Perth and Kinross | Perthshire | | | 25,489 | 2,517 |\n| Dumbarton | West Dunbartonshire | Dunbartonshire | | | 607 | 13,720 |\n| Dumfries | Dumfries and Galloway | Dumfriesshire | | | 2,805 | 22,085 |\n| Dun | Angus | Forfarshire | | | 1,338 | 418 |\n| Dunbar | East Lothian | Haddingtonshire | | | 1,369 | 9,270 |\n| Dunbarney | Perth and Kinross | Perthshire | | | 1,750 | 2,910 |\n| Dunblane and Lecropt | Stirling | Perthshire | | Part of Lecropt was in Stirlingshire until 1891 Lecropt a separate parish until 1900 | 7,782 | 9,521 |\n| Dunbog | Fife | Fife | | | 1,344 | 133 |\n| Dundee | Angus City of Dundee Perth and Kinross | Forfarshire | | | 5,291 | 146,637 |\n| Dundonald | North Ayrshire South Ayrshire | Ayrshire | | | 4,436 | 22,386 |\n| Dunfermline | Fife | Fife | | Partly in Kinross-shire until 1891 | 6,909 | 69,815 |\n| Dunino | Fife | Fife | | | 1,231 | 134 |\n| Dunipace | Falkirk | Stirlingshire | | | 2,192 | 3,487 |\n| Dunkeld and Dowally | Perth and Kinross | Perthshire | | | 8,936 | 601 |\n| Dunlop | East Ayrshire | Ayrshire | | Partly in Renfrewshire until 1891 | 2,688 | 1,583 |\n| Dunnet | Highland | Caithness | | | 5,241 | 582 |\n| Dunnichen | Angus | Forfarshire | | | 3,398 | 2,105 |\n| Dunning | Perth and Kinross | Perthshire | | | 5,448 | 1,260 |\n| Dunnottar | Aberdeenshire | Kincardineshire | | | 3,189 | 1,743 |\n| Dunoon and Kilmun | Argyll and Bute | Argyllshire | | | 28,889 | 12,620 |\n| Dunrossness | Shetland | Zetland | | | 11,687 | 3,216 |\n| Duns | Scottish Borders | Berwickshire | | | 4,126 | 3,192 |\n| Dunscore | Dumfries and Galloway | Dumfriesshire | | | 6,230 | 826 |\n| Dunsyre | South Lanarkshire | Lanarkshire | | | N/A | N/A |\n| Durisdeer | Dumfries and Galloway | Dumfriesshire | | | 7,695 | 317 |\n| Durness | Highland | Sutherland | | | 65,026 | 347 |\n| Durris | Aberdeenshire | Kincardineshire | | | 5,375 | 628 |\n| Duthil and Rothiemurchus | Highland | Inverness-shire | | Duthil in Morayshire until 1870 | 27,868 | 5,149 |\n| Dyce | City of Aberdeen | Aberdeenshire | | | 2,170 | 5,813 |\n| Dyke and Moy | Moray | Morayshire | | Partly in Nairnshire until 1891 | 5,378 | 783 |\n| Eaglesham | East Renfrewshire | Renfrewshire | | | 5,773 | 4,647 |\n| Earlston | Scottish Borders | Berwickshire | | Partly in Roxburghshire until 1891 | 1,695 | 1,976 |\n| Eassie and Nevay | Angus | Forfarshire | | | 1,854 | 143 |\n| East Kilbride | East Renfrewshire South Lanarkshire | Lanarkshire | | | 8,961 | 77,280 |\n| Eastwood | East Renfrewshire City of Glasgow | Renfrewshire | | | 2,138 | 57,707 |\n| Eccles | Scottish Borders | Berwickshire | | | 4,970 | 809 |\n| Ecclesmachan | West Lothian | Linlithgowshire | | | 1,886 | 621 |\n| Echt | Aberdeenshire | Aberdeenshire | | | 4,732 | 761 |\n| Eckford | Scottish Borders | Roxburghshire | | | 3,419 | 252 |\n| Eday | Orkney | Orkney | | | 3,209 | 160 |\n| Edderton | Highland | Ross and Cromarty | | | 7,215 | 308 |\n| Eddleston | Scottish Borders | Peeblesshire | | | 7,954 | 628 |\n| Eddrachillis | Highland | Sutherland | | | 58,896 | 688 |\n| Edinburgh | City of Edinburgh Midlothian | Edinburgh County of City Midlothian | | | 13,485 | 447,064 |\n| Edinkillie | Highland Moray | Morayshire | | | 14,534 | 416 |\n| Ednam | Scottish Borders | Roxburghshire | | | 1,922 | 417 |\n| Edrom | Scottish Borders | Berwickshire | | | 3,394 | 458 |\n| Edzell | Aberdeenshire Angus | Forfarshire | | | 7,887 | 998 |\n| Elgin | Moray | Morayshire | | | 8,069 | 11,704 |\n| Elie | Fife | Fife | | | 1,610 | 861 |\n| Ellon | Aberdeenshire | Aberdeenshire | | | 9,366 | 11,476 |\n| Errol | Perth and Kinross | Perthshire | | | 4,146 | 2,467 |\n| Erskine | Renfrewshire | Renfrewshire | | | 2,314 | 8,779 |\n| Eskdalemuir | Dumfries and Galloway | Dumfriesshire | | | 15,483 | 252 |\n| Ettrick | Scottish Borders | Selkirkshire | | | 10,333 | 83 |\n| Evie and Rendall | Orkney | Orkney | | | 5,501 | 729 |\n| Ewes | Dumfries and Galloway | Dumfriesshire | | | 7,498 | 82 |\n| Eyemouth | Scottish Borders | Berwickshire | | | 925 | 2,838 |\n| Fala and Soutra | Midlothian Scottish Borders | Midlothian | | Partly in Haddingtonshire until 1891 | 1,516 | 95 |\n| Falkirk | Falkirk | Stirlingshire | | | 5,896 | 46,702 |\n| Falkland | Fife | Fife | | | 2,745 | 2,616 |\n| Farnell | Angus | Forfarshire | | | 3,273 | 288 |\n| Farr | Highland | Sutherland | | | 97,388 | 955 |\n| Fearn | Highland | Ross and Cromarty | | | 2,694 | 1,885 |\n| Fenwick | East Ayrshire | Ayrshire | | | 6,548 | 1,487 |\n| Fern | Angus | Forfarshire | | | 3,150 | 499 |\n| Ferry Port on Craig | Fife | Fife | | | 132 | 3,815 |\n| Fetlar | Shetland | Zetland | | | 4,077 | 61 |\n| Fettercairn | Aberdeenshire Angus | Kincardineshire | | | 5,672 | 1,105 |\n| Fetteresso | Aberdeenshire | Kincardineshire | | | 11,598 | 14,845 |\n| Findo Gask | Perth and Kinross | Perthshire | | | 882 | 277 |\n| Fintray | Aberdeenshire | Aberdeenshire | | | 4,002 | 945 |\n| Fintry | Stirling | Stirlingshire | | | 4,777 | 546 |\n| Firth | Orkney | Orkney | | | 3,670 | 877 |\n| Flisk | Fife | Fife | | | 1,100 | 92 |\n| Fodderty | Highland | Ross and Cromarty | | | 33,264 | 2,869 |\n| Fogo | Scottish Borders | Berwickshire | | | 2,405 | 165 |\n| Fordoun | Aberdeenshire | Kincardineshire | | | 7,929 | 1,491 |\n| Fordyce | Aberdeenshire | Banffshire | | | 5,736 | 2,531 |\n| Forfar | Angus | Forfarshire | | | 2,760 | 15,001 |\n| Forgan | Fife | Fife | | | 3,676 | 4,573 |\n| Forgandenny | Perth and Kinross | Perthshire | | Partly in Kinross-shire until 1891 | 1,746 | 935 |\n| Forglen | Aberdeenshire | Banffshire | | | 2,732 | 321 |\n| Forgue | Aberdeenshire | Aberdeenshire | | | 9,006 | 879 |\n| Forres | Moray | Morayshire | | | 1,887 | 9,393 |\n| Forteviot | Perth and Kinross | Perthshire | | | 5,654 | 382 |\n| Fortingall | Perth and Kinross | Perthshire | Kinloch Rannoch | | 93,909 | 864 |\n| Fossoway | Perth and Kinross | Kinross-shire | | Partly in Perthshire until 1891 | 6,456 | 1,641 |\n| Foulden | Scottish Borders | Berwickshire | | | 1,497 | 371 |\n| Foveran | Aberdeenshire | Aberdeenshire | | | 3,967 | 2,393 |\n| Fowlis Easter | Angus City of Dundee | Forfarshire | | Partly in Perthshire until 1891 | 1,839 | 415 |\n| Fowlis Wester | Perth and Kinross | Perthshire | | | 5,148 | 629 |\n| Fraserburgh | Aberdeenshire | Aberdeenshire | | | 2,079 | 13,323 |\n| Fyvie | Aberdeenshire | Aberdeenshire | | | 10,353 | 3,144 |\n| Gairloch | Highland | Ross and Cromarty | | | 92,448 | 2,326 |\n| Galashiels | Scottish Borders | Selkirkshire | | Partly in Roxburghshire until 1891 | 1,405 | 10,081 |\n| Galston | East Ayrshire | Ayrshire | | | 5,978 | 5,459 |\n| Gamrie | Aberdeenshire | Banffshire | | In Aberdeenshire until 1891 | 5,746 | 5,301 |\n| Gargunnock | Stirling | Stirlingshire | | | 4,838 | 1,049 |\n| Gartly | Aberdeenshire | Aberdeenshire | | Detached part of Banffshire until 1891 | 6,301 | 340 |\n| Garvald and Bara | East Lothian | Haddingtonshire | | | 5,926 | 305 |\n| Garvock | Aberdeenshire | Kincardineshire | | | 3,265 | 304 |\n| Gigha and Cara | Argyll and Bute | Argyllshire | | | 1,489 | 163 |\n| Girthon | Dumfries and Galloway | Kirkcudbrightshire | | | 14,159 | 699 |\n| Girvan | South Ayrshire | Ayrshire | | | 5,896 | 6,968 |\n| Gladsmuir | East Lothian | Haddingtonshire | | | 2,444 | 3,837 |\n| Glamis | Angus | Forfarshire | | | 6,014 | 1,013 |\n| Glasgow | East Dunbartonshire City of Glasgow North Lanarkshire | Lanarkshire | | Partly in Renfrewshire until 1891 | 5,848 | 220,415 |\n| Glass | Aberdeenshire | Aberdeenshire | | Partly in Banffshire until 1891 | 6,635 | 279 |\n| Glassary | Argyll and Bute | Argyllshire | | | 21,247 | 3,553 |\n| Glasserton | Dumfries and Galloway | Wigtownshire | | | 6,105 | 332 |\n| Glassford | South Lanarkshire | Lanarkshire | | | 1,728 | 1,467 |\n| Glenbervie | Aberdeenshire | Kincardineshire | | | 8,737 | 778 |\n| Glenbuchat | Aberdeenshire | Aberdeenshire | | | 4,842 | 61 |\n| Glencairn | Dumfries and Galloway | Dumfriesshire | | | 12,202 | 890 |\n| Glencorse | Midlothian | Midlothian | | | 2,560 | 5,293 |\n| Glendevon | Perth and Kinross | Perthshire | | | 4,677 | 174 |\n| Glenelg | Highland | Inverness-shire | Arnisdale, Glenelg, Inverie, Kinloch Hourn, Mallaig, Morar | | 44,853 | 1,473 |\n| Glenisla | Angus | Forfarshire | | | 19,361 | 196 |\n| Glenmuick, Tullich and Glengairn | Aberdeenshire | Aberdeenshire | | | 27,577 | 1,982 |\n| Glenorchy and Inishail | Argyll and Bute Highland | Argyllshire | Bridge of Orchy, Dalmally | | 52,355 | 1,208 |\n| Glenshiel | Highland | Ross and Cromarty | Morvich, Shiel Bridge | | 27,560 | 215 |\n| Golspie | Highland | Sutherland | | | 5,789 | 1,661 |\n| Gordon | Scottish Borders | Berwickshire | | | 2,523 | 649 |\n| Govan | City of Glasgow Renfrewshire | Renfrewshire | | Partly in Lanarkshire until 1891 | 2,650 | 118,706 |\n| Grange | Moray | Banffshire | | | 6,010 | 638 |\n| Grangemouth | Falkirk | Stirlingshire | | | 4,187 | 37,255 |\n| Greenlaw | Scottish Borders | Berwickshire | | | 5,609 | 847 |\n| Greenock | Inverclyde | Renfrewshire | | | 3,731 | 31,417 |\n| Gretna | Dumfries and Galloway | Dumfriesshire | | | 3,139 | 3,984 |\n| Guthrie | Angus | Forfarshire | | | 1,718 | 147 |\n| Haddington | East Lothian | Haddingtonshire | | | 5,131 | 9,766 |\n| Half Morton | Dumfries and Galloway | Dumfriesshire | | | 3,837 | 208 |\n| Halkirk | Highland | Caithness | | | 38,492 | 1,460 |\n| Hamilton | South Lanarkshire | Lanarkshire | | | 5,874 | 53,503 |\n| Harris | Na h-Eileanan Siar | Inverness-shire | Borve, Hushinish, Leverburgh, Rodel, Tarbert | | 50,534 | 2,054 |\n| Hawick | Scottish Borders | Roxburghshire | | | 6,163 | 14,869 |\n| Heriot | Scottish Borders | Midlothian | | | 7,271 | 321 |\n| Hobkirk | Scottish Borders | Roxburghshire | | | 6,882 | 442 |\n| Hoddom | Dumfries and Galloway | Dumfriesshire | | | 4,232 | 1,279 |\n| Holm | Orkney | Orkney | | | 3,039 | 739 |\n| Holywood | Dumfries and Galloway | Dumfriesshire | | | 3,974 | 822 |\n| Houston and Killellan | Renfrewshire | Renfrewshire | | | 3,346 | 4,915 |\n| Hownam | Scottish Borders | Roxburghshire | | | 5,454 | 74 |\n| Hoy and Graemsay | Orkney | Orkney | | | 12,274 | 73 |\n| Humbie | East Lothian | Haddingtonshire | | Detached portion of parish transferred to Fala and Soutra parish, Midlothian in 1891 | 3,266 | 383 |\n| Hume | Scottish Borders | Berwickshire | | | 1,001 | 109 |\n| Huntly | Aberdeenshire | Aberdeenshire | | | 3,167 | 4,954 |\n| Hutton | Scottish Borders | Berwickshire | | | 2,356 | 545 |\n| Hutton and Corrie | Dumfries and Galloway | Dumfriesshire | | | 15,202 | 365 |\n| Inch | Dumfries and Galloway | Wigtownshire | | | 17,231 | 6,598 |\n| Inchinnan | Renfrewshire | Renfrewshire | | | 1,234 | 14,976 |\n| Inchture | Perth and Kinross | Perthshire | | | 1,800 | 1,440 |\n| Innerleithen | Scottish Borders | Peeblesshire | | Partly in Selkirkshire until 1891 | 9,792 | 3,980 |\n| Innerwick | East Lothian Scottish Borders | Haddingtonshire | | | 5,481 | 573 |\n| Insch | Aberdeenshire | Aberdeenshire | | | 1,792 | 1,861 |\n| Inveraray | Argyll and Bute | Argyllshire | Inveraray | | 19,200 | 769 |\n| Inverarity | Angus | Forfarshire | | | 4,824 | 422 |\n| Inveravon | Moray | Banffshire | | Partly in Moray until 1891 | 23,106 | 913 |\n| Inverchaolain | Argyll and Bute | Argyllshire | | | 3,160 | 110 |\n| Inveresk | East Lothian City of Edinburgh | Midlothian | | | 2,114 | 24,835 |\n| Inverkeilor | Angus | Forfarshire | | | 6,495 | 1,104 |\n| Inverkeithing | Fife | Fife | | | 1,277 | 8,090 |\n| Inverkeithny | Aberdeenshire | Banffshire | | In Aberdeenshire until 1891 | 3,576 | 367 |\n| Inverkip | Inverclyde | Renfrewshire | | | 3,267 | 29,196 |\n| Inverness and Bona | Highland | Inverness-shire | | | 11,725 | 61,489 |\n| Inverurie | Aberdeenshire | Aberdeenshire | | | 922 | 10,857 |\n| Irvine | North Ayrshire | Ayrshire | | | 2,125 | 27,518 |\n| Jedburgh | Scottish Borders | Roxburghshire | | | 9,662 | 4,649 |\n| Johnstone | Dumfries and Galloway | Dumfriesshire | | | 5,371 | 400 |\n| Jura | Argyll and Bute | Argyllshire | | | 38,625 | 196 |\n| Keig | Aberdeenshire | Aberdeenshire | | | 1,944 | 274 |\n| Keir | Dumfries and Galloway | Dumfriesshire | | | 2,298 | 316 |\n| Keith | Moray | Banffshire | | Partly in Morayshire until 1891 | 6,233 | 5,705 |\n| Keithhall and Kinkell | Aberdeenshire | Aberdeenshire | | | 2,602 | 1,211 |\n| Kells | Dumfries and Galloway | Kirkcudbrightshire | | | 21,317 | 664 |\n| Kelso | Scottish Borders | Roxburghshire | | | 2,266 | 7,249 |\n| Kelton | Dumfries and Galloway | Kirkcudbrightshire | | | 3,876 | 3,340 |\n| Kemback | Fife | Fife | | | 1,760 | 558 |\n| Kemnay | Aberdeenshire | Aberdeenshire | | | 2,479 | 4,342 |\n| Kenmore | Perth and Kinross Stirling | Perthshire | | | 25,543 | 572 |\n| Kennethmont | Aberdeenshire | Aberdeenshire | | | 2,438 | 460 |\n| Kennoway | Fife | Fife | | | 1,580 | 5,077 |\n| Kettins | Perth and Kinross | Forfarshire | | Partly in Perthshire until 1891 | 3,355 | 632 |\n| Kettle | Fife | Fife | | | 3,456 | 1,645 |\n| Kilbarchan | Renfrewshire | Renfrewshire | | | 4,119 | 19,841 |\n| Kilbirnie | North Ayrshire | Ayrshire | | | 4,166 | 7,730 |\n| Kilbrandon and Kilchattan | Argyll and Bute | Argyllshire | | | 3,494 | 808 |\n| Kilbride | North Ayrshire | Bute | | | 16,439 | 3,271 |\n| Kilcalmonell | Argyll and Bute | Argyllshire | | | 7,567 | 1,324 |\n| Kilchoman | Argyll and Bute | Argyllshire | | | 14,796 | 760 |\n| Kilchrenan and Dalavich | Argyll and Bute | Argyllshire | | | 19,377 | 182 |\n| Kilconquhar | Fife | Fife | | | 3,688 | 1,140 |\n| Kildalton | Argyll and Bute | Argyllshire | | | 15,434 | 1,077 |\n| Kildonan | Highland | Sutherland | | | 35,460 | 725 |\n| Kildrummy | Aberdeenshire | Aberdeenshire | | | 6,898 | 321 |\n| Kilfinan | Argyll and Bute | Argyllshire | | | 13,473 | 777 |\n| Kilfinichen and Kilvickeon | Argyll and Bute | Argyllshire | | | 37,029 | 745 |\n| Killarow and Kilmeny | Argyll and Bute | Argyllshire | | | 31,580 | 1,391 |\n| Killean and Kilchenzie | Argyll and Bute | Argyllshire | | | 18,872 | 539 |\n| Killearn | Stirling | Stirlingshire | | | 7,240 | 2,382 |\n| Killearnan | Highland | Ross and Cromarty | | | 3,014 | 697 |\n| Killin | Stirling | Perthshire | Crianlarich, Killin, Tyndrum | | 47,051 | 1,291 |\n| Kilmacolm | Inverclyde | Renfrewshire | | | 8,581 | 5,264 |\n| Kilmadock | Stirling | Perthshire | | | 15,729 | 2,375 |\n| Kilmallie | Highland | Inverness-shire | Caol, Corpach, Fort William, Kinlocheil, Onich | Partly in Argyllshire until 1891 | 80,806 | 10,395 |\n| Kilmany | Fife | Fife | | | 2,055 | 218 |\n| Kilmarnock | East Ayrshire | Ayrshire | | | 3,895 | 34,858 |\n| Kilmaronock | Stirling West Dunbartonshire | Dunbartonshire | | | 4,816 | 814 |\n| Kilmartin | Argyll and Bute | Argyllshire | | | 10,700 | 536 |\n| Kilmaurs | East Ayrshire | Ayrshire | | | 2,630 | 8,103 |\n| Kilmodan | Argyll and Bute | Argyllshire | | | 11,143 | 177 |\n| Kilmonivaig | Highland | Inverness-shire | Inverlochy | | 111,192 | 3,611 |\n| Kilmorack | Highland | Inverness-shire | | Partly in Ross and Cromarty until 1891 | 17,549 | 2,329 |\n| Kilmore and Kilbride | Argyll and Bute | Argyllshire | | | 17,462 | 10,326 |\n| Kilmory | North Ayrshire | Bute | | | 26,694 | 1,389 |\n| Kilmuir | Highland | Inverness-shire | Brogaig, Flodigarry, Kilmaluag, Kilmuir, Staffin | | 13,576 | 813 |\n| Kilmuir Easter | Highland | Ross and Cromarty | | | 1,946 | 1,100 |\n| Kilninian and Kilmore | Argyll and Bute | Argyllshire | | | 30,151 | 1,606 |\n| Kilninver and Kilmelfort | Argyll and Bute | Argyllshire | | | 15,116 | 395 |\n| Kilrenny | Fife | Fife | | | 1,831 | 2,775 |\n| Kilspindie | Perth and Kinross | Perthshire | | | 1,634 | 190 |\n| Kilsyth | Falkirk North Lanarkshire | Stirlingshire | | | 5,090 | 11,530 |\n| Kiltarlity and Convinth | Highland | Inverness-shire | | | 68,820 | 1,692 |\n| Kiltearn | Highland | Ross and Cromarty | | | 30,836 | 1,982 |\n| Kilwinning | North Ayrshire | Ayrshire | | | 3,696 | 19,475 |\n| Kincardine O'Neil | Aberdeenshire | Aberdeenshire | | | 7,561 | 2,580 |\n| Kincardine | Highland | Ross and Cromarty | | | 91,725 | 648 |\n| Kincardine | Stirling | Perthshire | | | 6,112 | 1,148 |\n| Kinclaven | Perth and Kinross | Perthshire | | | 2,807 | 346 |\n| Kinellar | Aberdeenshire | Aberdeenshire | | | 1,612 | 3,169 |\n| Kinfauns | Perth and Kinross | Perthshire | | | 1,020 | 525 |\n| King Edward | Aberdeenshire | Aberdeenshire | | | 7,962 | 1,284 |\n| Kingarth | Argyll and Bute | Bute | | | 4,136 | 380 |\n| Kinghorn | Fife | Fife | | | 3,488 | 4,201 |\n| Kinglassie | Fife | Fife | | Partly in Kinross-shire until 1891 | 3,382 | 22,543 |\n| Kingoldrum | Angus | Forfarshire | | | N/A | N/A |\n| Kingsbarns | Fife | Fife | | | 2,489 | 443 |\n| Kingussie and Insh | Highland | Inverness-shire | Dalwhinnie, Kingussie, Newtonmore | | 81,267 | 3,100 |\n| Kinloch | Perth and Kinross | Perthshire | | | 329 | 92 |\n| Kinloss | Moray | Morayshire | | | 2,985 | 2,842 |\n| Kinnaird | Perth and Kinross | Perthshire | | | 1,208 | 93 |\n| Kinneff and Catterline | Aberdeenshire | Kincardineshire | | | 2,205 | 677 |\n| Kinnell | Angus | Forfarshire | | | 1,552 | 523 |\n| Kinnettles | Angus | Forfarshire | | | 634 | 95 |\n| Kinnoull | Perth and Kinross | Perthshire | | | 1,758 | 3,785 |\n| Kinross | Perth and Kinross | Kinross-shire | | | 2,598 | 5,307 |\n| Kintail | Highland | Ross and Cromarty | Dornie | | 3,195 | 300 |\n| Kintore | Aberdeenshire | Aberdeenshire | | | 2,755 | 6,355 |\n| Kippen | Stirling | Stirlingshire | | Partly in Perthshire until 1891 | 4,859 | 1,984 |\n| Kirkbean | Dumfries and Galloway | Kirkcudbrightshire | | | 2,374 | 551 |\n| Kirkcaldy and Dysart | Fife | Fife | | | 3,087 | 49,918 |\n| Kirkcolm | Dumfries and Galloway | Wigtownshire | | | 5,809 | 669 |\n| Kirkconnel | Dumfries and Galloway | Dumfriesshire | | | 11,565 | 2,361 |\n| Kirkcowan | Dumfries and Galloway | Wigtownshire | | | 21,573 | 758 |\n| Kirkcudbright | Dumfries and Galloway | Kirkcudbrightshire | | | 4,166 | 3,203 |\n| Kirkden | Angus | Forfarshire | | | 1,839 | 911 |\n| Kirkgunzeon | Dumfries and Galloway | Kirkcudbrightshire | | | 4,875 | 278 |\n| Kirkhill | Highland | Inverness-shire | | | 4,432 | 1,825 |\n| Kirkhope | Scottish Borders | Selkirkshire | | | 12,449 | 263 |\n| Kirkinner | Dumfries and Galloway | Wigtownshire | | | 5,152 | 594 |\n| Kirkintilloch | East Dunbartonshire North Lanarkshire | Dunbartonshire | | | 2,713 | 29,526 |\n| Kirkliston | City of Edinburgh West Lothian | Linlithgowshire | | | 4,500 | 7,265 |\n| Kirkmabreck | Dumfries and Galloway | Kirkcudbrightshire | | | 10,422 | 980 |\n| Kirkmahoe | Dumfries and Galloway | Dumfriesshire | | | 4,939 | 745 |\n| Kirkmaiden | Dumfries and Galloway | Wigtownshire | | | 4,939 | 680 |\n| Kirkmichael | Dumfries and Galloway | Dumfriesshire | | | 6,884 | 537 |\n| Kirkmichael | Moray | Banffshire | | | 30,260 | 606 |\n| Kirkmichael | Perth and Kinross | Perthshire | | | 30,386 | 795 |\n| Kirkmichael | South Ayrshire | Ayrshire | | | 9,596 | 1,549 |\n| Kirknewton | West Lothian | Midlothian | | | 3,017 | 7,188 |\n| Kirkoswald | South Ayrshire | Ayrshire | | | 6,491 | 1,269 |\n| Kirkpatrick Durham | Dumfries and Galloway | Kirkcudbrightshire | | | 8,969 | 708 |\n| Kirkpatrick Irongray | Dumfries and Galloway | Kirkcudbrightshire | | | 5,356 | 350 |\n| Kirkpatrick-Fleming | Dumfries and Galloway | Dumfriesshire | | | 3,635 | 802 |\n| Kirkpatrick-Juxta | Dumfries and Galloway | Dumfriesshire | | Partly in Lanarkshire until 1891 | 14,648 | 899 |\n| Kirkurd | Scottish Borders | Peeblesshire | | | 3,846 | 218 |\n| Kirkwall and St Ola | Orkney | Orkney | | | 5,183 | 8,268 |\n| Kirriemuir | Angus | Forfarshire | | | 5,381 | 7,009 |\n| Knockando | Moray | Morayshire | | | 10,365 | 834 |\n| Knockbain | Highland | Ross and Cromarty | | | 5,452 | 2,295 |\n| Lady | Orkney | Orkney | | Part of the island of Sanday (see also Cross and Burness) | 1,628 | 158 |\n| Ladykirk | Scottish Borders | Berwickshire | | | 1,381 | 136 |\n| Laggan | Highland | Inverness-shire | Kinloch Laggan | | 40,591 | 266 |\n| Lairg | Highland | Sutherland | | | 50,327 | 891 |\n| Lamington and Wandel | South Lanarkshire | Lanarkshire | | | 4,968 | 133 |\n| Lanark | South Lanarkshire | Lanarkshire | | | 4,384 | 10,443 |\n| Langholm | Dumfries and Galloway | Dumfriesshire | | | 9,868 | 2,455 |\n| Langton | Scottish Borders | Berwickshire | | | 2,005 | 310 |\n| Larbert | Falkirk | Stirlingshire | | | 1,499 | 23,977 |\n| Largo | Fife | Fife | | | 1,389 | 2,524 |\n| Largs | North Ayrshire | Ayrshire | | | 6,801 | 14,759 |\n| Lasswade | City of Edinburgh Midlothian | Midlothian | | | 4,692 | 18,126 |\n| Latheron | Highland | Caithness | | | 49,088 | 1,805 |\n| Lauder | Scottish Borders | Berwickshire | | Partly in Roxburghshire until 1891 | 15,061 | 2,078 |\n| Laurencekirk | Aberdeenshire | Kincardineshire | | | 1,904 | 3,126 |\n| Legerwood | Scottish Borders | Berwickshire | | | 4,310 | 271 |\n| Leochel-Cushnie | Aberdeenshire | Aberdeenshire | | | 5,760 | 650 |\n| Lerwick | Shetland | Zetland | | | 7,193 | 8,678 |\n| Leslie | Aberdeenshire | Aberdeenshire | | | 1,922 | 251 |\n| Leslie | Fife | Fife | | | 2,444 | 12,254 |\n| Lesmahagow | South Lanarkshire | Lanarkshire | | | 17,191 | 13,869 |\n| Leswalt | Dumfries and Galloway | Wigtownshire | | | 4,112 | 5,488 |\n| Lethendy | Perth and Kinross | Perthshire | | | N/A | N/A |\n| Lethnot and Navar | Angus | Forfarshire | | | 10,633 | 71 |\n| Leuchars | Fife | Fife | | | 5,324 | 5,754 |\n| Libberton | South Lanarkshire | Lanarkshire | | | 3,347 | 454 |\n| Liff and Benvie | Angus City of Dundee | Forfarshire | | Partly in Perthshire in 1891 | 1,000 | 3,257 |\n| Lilliesleaf | Scottish Borders | Roxburghshire | | | 2,420 | 419 |\n| Linlithgow | West Lothian | Linlithgowshire | | | 4,058 | 15,271 |\n| Linton | Scottish Borders | Roxburghshire | | | 2,139 | 162 |\n| Lintrathen | Angus | Forfarshire | | | 7,744 | 369 |\n| Lismore and Appin | Argyll and Bute Highland | Argyllshire | Appin, Ballachulish, Glencoe, Kinlochleven | | 65,907 | 2,477 |\n| Little Dunkeld | Perth and Kinross | Perthshire | | | 16,685 | 2,172 |\n| Livingston | West Lothian | Linlithgowshire | | | 1,878 | 31,450 |\n| Lochalsh | Highland | Ross and Cromarty | Kyle of Lochalsh, Plockton | | 44,368 | 1,904 |\n| Lochbroom | Highland | Ross and Cromarty | | | 105,136 | 2,487 |\n| Lochcarron | Highland | Ross and Cromarty | Lochcarron | | 41,095 | 893 |\n| Lochgoilhead and Kilmorich | Argyll and Bute | Argyllshire | Ardgartan, Cairndow, Lochgoilhead | | 27,294 | 756 |\n| Lochlee | Angus | Forfarshire | | | 22,143 | 79 |\n| Lochmaben | Dumfries and Galloway | Dumfriesshire | | | 4,536 | 2,907 |\n| Lochrutton | Dumfries and Galloway | Kirkcudbrightshire | | | 3,310 | 565 |\n| Lochs | Na h-Eileanan Siar | Ross and Cromarty | Arivruaich, Calbost, Cromore, Crossbost, Gravir, Habost, Leurbost | | 49,162 | 1,810 |\n| Lochwinnoch | Renfrewshire | Renfrewshire | | | 7,541 | 6,638 |\n| Logie | Fife | Fife | | | 1,896 | 243 |\n| Logie | Stirling | Stirlingshire | | Partly in Clackmannanshire and Perthshire until 1891 | 2,594 | 13,046 |\n| Logie Buchan | Aberdeenshire | Aberdeenshire | | | 2,120 | 374 |\n| Logie Easter | Highland | Ross and Cromarty | | | 4,691 | 658 |\n| Logie Pert | Angus | Forfarshire | | | 2,390 | 498 |\n| Logiealmond | Perth and Kinross | Perthshire | | | 7,536 | 248 |\n| Logie-Coldstone | Aberdeenshire | Aberdeenshire | | | 6,875 | 394 |\n| Logierait | Perth and Kinross | Perthshire | | | 15,397 | 1,288 |\n| Longforgan | City of Dundee Perth and Kinross | Perthshire | | | 1,936 | 2,982 |\n| Longformacus | Scottish Borders | Berwickshire | | | 9,004 | 192 |\n| Longside | Aberdeenshire | Aberdeenshire | | | 5,796 | 3,342 |\n| Lonmay | Aberdeenshire | Aberdeenshire | | | 6,739 | 1,699 |\n| Loth | Highland | Sutherland | | | 6,790 | 139 |\n| Loudoun | East Ayrshire | Ayrshire | | | 6,109 | 6,977 |\n| Lumphanan | Aberdeenshire | Aberdeenshire | | | 4,735 | 1,076 |\n| Lunan | Angus | Forfarshire | | | 538 | 127 |\n| Lundie | Angus | Forfarshire | | | 1,617 | 350 |\n| Luss | Argyll and Bute | Dunbartonshire | | | 8,631 | 272 |\n| Lyne | Scottish Borders | Peeblesshire | | Was Lyne & Megget: Megget (detached part of parish) transferred to Selkirkshire in 1891 | N/A | N/A |\n| Madderty | Perth and Kinross | Perthshire | | | 1,764 | 261 |\n| Mains and Strathmartine | Angus City of Dundee | Forfarshire | | | 1,633 | 1,275 |\n| Makerstoun | Scottish Borders | Roxburghshire | | | 1,510 | 140 |\n| Manor | Scottish Borders | Peeblesshire | | | 7,544 | 149 |\n| Markinch | Fife | Fife | | | 4,942 | 16,530 |\n| Marnoch | Aberdeenshire | Banffshire | | | 5,704 | 1,769 |\n| Maryculter | Aberdeenshire | Kincardineshire | | | 3,119 | 948 |\n| Marykirk | Aberdeenshire | Kincardineshire | | | 4,340 | 1,161 |\n| Maryton | Angus | Forfarshire | | | 1,066 | 189 |\n| Mauchline | East Ayrshire | Ayrshire | | | 3,038 | 4,529 |\n| Maxton | Scottish Borders | Roxburghshire | | | 1,872 | 213 |\n| Maybole | South Ayrshire | Ayrshire | | | 6,812 | 8,797 |\n| Mearns | East Renfrewshire | Renfrewshire | | | 5,366 | 29,957 |\n| Meigle | Perth and Kinross | Perthshire | | | 1,643 | 656 |\n| Meldrum | Aberdeenshire | Aberdeenshire | | | 2,586 | 3,508 |\n| Melrose | Scottish Borders | Roxburghshire | | | 14,008 | 10,415 |\n| Menmuir | Angus | Forfarshire | | | 6,996 | 375 |\n| Mertoun | Scottish Borders | Berwickshire | | | 2,483 | 309 |\n| Methlick | Aberdeenshire | Aberdeenshire | | | 5,290 | 1,092 |\n| Methven | Perth and Kinross | Perthshire | | | 4,121 | 2,435 |\n| Mid Calder | West Lothian | Linlithgowshire | | | 7,118 | 33,395 |\n| Middlebie | Dumfries and Galloway | Dumfriesshire | | | 7,122 | 1,285 |\n| Midmar | Aberdeenshire | Aberdeenshire | | | 3,775 | 595 |\n| Minnigaff | Dumfries and Galloway | Kirkcudbrightshire | | | 36,352 | 1,731 |\n| Minto | Scottish Borders | Roxburghshire | | | 2,699 | 322 |\n| Mochrum | Dumfries and Galloway | Wigtownshire | | | 12,323 | 1,169 |\n| Moffat | Dumfries and Galloway | Dumfriesshire | | Partly in Lanarkshire until 1891 | 12,727 | 2,843 |\n| Moneydie | Perth and Kinross | Perthshire | | | N/A | N/A |\n| Monifieth | Angus City of Dundee | Forfarshire | | | 1,054 | 9,117 |\n| Monikie | Angus | Forfarshire | | | 3,556 | 1,318 |\n| Monimail | Fife | Fife | | | 3,425 | 653 |\n| Monkton and Prestwick | South Ayrshire | Ayrshire | | | 1,844 | 13,973 |\n| Monquhitter | Aberdeenshire | Aberdeenshire | | | 7,090 | 1,345 |\n| Montrose | Aberdeenshire Angus | Forfarshire | | | 2,553 | 13,514 |\n| Monymusk | Aberdeenshire | Aberdeenshire | | | 5,733 | 724 |\n| Monzievaird and Strowan | Perth and Kinross | Perthshire | | | 5,524 | 819 |\n| Mordington | Scottish Borders | Berwickshire | | | 919 | 145 |\n| Moonzie | Fife | Fife | | | N/A | N/A |\n| Morebattle | Scottish Borders | Roxburghshire | | | 9,656 | 537 |\n| Morham | East Lothian | Haddingtonshire | | | 908 | 170 |\n| Mortlach | Moray | Banffshire | | | 14,223 | 2,183 |\n| Morton | Dumfries and Galloway | Dumfriesshire | | | 2,197 | 1,883 |\n| Morvern | Highland | Argyllshire | | | 26,318 | 294 |\n| Moulin | Perth and Kinross | Perthshire | | | 21,876 | 3,212 |\n| Mouswald | Dumfries and Galloway | Dumfriesshire | | | 2,366 | 304 |\n| Moy and Dalarossie | Highland | Inverness-shire | | | 42,946 | 631 |\n| Muckhart | Clackmannanshire Perth and Kinross | Perthshire | | | 1,631 | 674 |\n| Muiravonside | Falkirk | Stirlingshire | | | 3,617 | 5,365 |\n| Muirkirk | East Ayrshire | Ayrshire | | | 12,581 | 1,686 |\n| Murroes | Angus City of Dundee | Forfarshire | | | 3,237 | 1,630 |\n| Muthill | Perth and Kinross | Perthshire | | | 4,597 | 1,123 |\n| Nairn | Highland | Nairnshire | | | 2,847 | 10,184 |\n| Neilston | East Renfrewshire City of Glasgow | Renfrewshire | | | 4,970 | 22,244 |\n| Nenthorn | Scottish Borders | Berwickshire | | | 1,531 | 168 |\n| Nesting | Shetland | Zetland | | | 12,915 | 1,759 |\n| New Abbey | Dumfries and Galloway | Kirkcudbrightshire | | | 7,824 | 899 |\n| New Cumnock | East Ayrshire | Ayrshire | | | 18,779 | 3,380 |\n| New Deer | Aberdeenshire | Aberdeenshire | | | 11,032 | 3,029 |\n| New Kilpatrick | East Dunbartonshire City of Glasgow West Dunbartonshire | Dunbartonshire | | Partly in Stirlingshire until 1891 | 5,053 | 80,585 |\n| New Luce | Dumfries and Galloway | Wigtownshire | | | 7,149 | 89 |\n| New Machar | Aberdeenshire | Aberdeenshire | | Partly in Banffshire until 1891 | 4,247 | 4,063 |\n| New Monkland | Falkirk North Lanarkshire | Lanarkshire | | | 7,702 | 44,312 |\n| Newbattle | Midlothian | Midlothian | | | 1,663 | 21,534 |\n| Newburgh | Fife | Fife | | | 2,232 | 2,171 |\n| Newburn | Fife | Fife | | | 1,561 | 204 |\n| Newhills | City of Aberdeen | Aberdeenshire | | | 3,459 | 12,701 |\n| Newlands | Scottish Borders | Peeblesshire | | | 6,128 | 699 |\n| Newton | City of Edinburgh Midlothian | Midlothian | | | 856 | 3,258 |\n| Newtyle | Angus | Forfarshire | | | 2,225 | 950 |\n| Nigg, Aberdeen | City of Aberdeen | Kincardineshire | | | 682 | 6,253 |\n| Nigg, Highland | Highland | Ross and Cromarty | | | 2,937 | 266 |\n| North Berwick | East Lothian | Haddingtonshire | | | 2,043 | 6,589 |\n| North Bute | Argyll and Bute | Bute | | | 7,977 | 741 |\n| North Knapdale | Argyll and Bute | Argyllshire | | | 11,841 | 491 |\n| North Uist | Na h-Eileanan Siar | Inverness-shire | Carinish, Lochmaddy, Newtonferry, Sollas | | 33,825 | 1,481 |\n| Northmaven | Shetland | Zetland | | | 20,920 | 794 |\n| Oathlaw | Angus | Forfarshire | | | 2,596 | 395 |\n| Ochiltree | East Ayrshire | Ayrshire | | | 5,621 | 4,862 |\n| Old Cumnock | East Ayrshire | Ayrshire | | | 10,365 | 9,054 |\n| Old Deer | Aberdeenshire | Aberdeenshire | | Partly in Banffshire until 1891 | 11,457 | 3,828 |\n| Old Kilpatrick | West Dunbartonshire | Dunbartonshire | | | 7,998 | 44,623 |\n| Old Luce | Dumfries and Galloway | Wigtownshire | | | 13,940 | 1,389 |\n| Old Machar | City of Aberdeen | Aberdeenshire | | | 2,897 | 22,516 |\n| Old Monkland | City of Glasgow North Lanarkshire | Lanarkshire | | | 3,127 | 82,253 |\n| Oldhamstocks | East Lothian Scottish Borders | Haddingtonshire | | Partly in Berwickshire in 1891 | 2,308 | 206 |\n| Olrig | Highland | Caithness | | | 4,547 | 1,269 |\n| Ordiquhill | Aberdeenshire | Banffshire | | | 2,472 | 485 |\n| Ormiston | East Lothian | Haddingtonshire | | | 1,497 | 2,287 |\n| Orphir | Orkney | Orkney | | | 2,645 | 537 |\n| Orwell | Perth and Kinross | Kinross-shire | | | 5,365 | 2,634 |\n| Oxnam | Scottish Borders | Roxburghshire | | | 9,455 | 258 |\n| Oyne | Aberdeenshire | Aberdeenshire | | | 2,805 | 473 |\n| Paisley | East Renfrewshire City of Glasgow Renfrewshire | Renfrewshire | | | 7,027 | 142,435 |\n| Panbride | Angus | Forfarshire | | | 2,108 | 4,025 |\n| Papa Westray | Orkney | Orkney | | | 885 | 90 |\n| Parton | Dumfries and Galloway | Kirkcudbrightshire | | | 4,854 | 176 |\n| Peebles | Scottish Borders | Peeblesshire | | Partly in Selkirkshire until 1891 | 7,169 | 8,754 |\n| Pencaitland | East Lothian | Haddingtonshire | | | 3,168 | 2,599 |\n| Penicuik | City of Edinburgh Midlothian | Midlothian | | | 5,707 | 11,571 |\n| Penninghame | Dumfries and Galloway | Wigtownshire | | | 7,886 | 3,176 |\n| Penpont | Dumfries and Galloway | Dumfriesshire | | | 11,139 | 734 |\n| Perth | Perth and Kinross | Perthshire | | | 985 | 17,394 |\n| Peterculter | City of Aberdeen | Aberdeenshire | | Partly in Kincardineshire until 1891 | 4,846 | 14,874 |\n| Peterhead | Aberdeenshire | Aberdeenshire | | | 3,930 | 20,557 |\n| Pettinain | South Lanarkshire | Lanarkshire | | | 1,432 | 276 |\n| Petty | Highland | Inverness-shire | | Partly in Nairnshire until 1891 | 4,040 | 2,090 |\n| Pitsligo | Aberdeenshire | Aberdeenshire | | | 916 | 2,251 |\n| Pittenweem | Fife | Fife | | | 54 | 1,486 |\n| Polwarth | Scottish Borders | Berwickshire | | | 1,909 | 98 |\n| Port Glasgow | Inverclyde | Renfrewshire | | | 464 | 15,608 |\n| Port of Menteith | Stirling | Perthshire | | | 7,176 | 693 |\n| Portmoak | Perth and Kinross | Kinross-shire | | | 3,725 | 1,272 |\n| Portpatrick | Dumfries and Galloway | Wigtownshire | | | 4,504 | 900 |\n| Portree | Highland | Inverness-shire | Achachork, Camastianavaig, Peinachorran, Portree, Sconser | | 24,315 | 2,969 |\n| Premnay | Aberdeenshire | Aberdeenshire | | | 2,283 | 1,100 |\n| Prestonkirk | East Lothian | Haddingtonshire | | | 4,089 | 2,402 |\n| Prestonpans | East Lothian | Haddingtonshire | | | 205 | 9,303 |\n| Rafford | Moray | Morayshire | | | 4,277 | 1,599 |\n| Rathen | Aberdeenshire | Aberdeenshire | | | 4,818 | 2,436 |\n| Ratho | City of Edinburgh | Midlothian | | | 2,009 | 2,460 |\n| Rathven | Moray | Banffshire | | | 9,995 | 12,946 |\n| Rattray | Perth and Kinross | Perthshire | | | 2,919 | 3,279 |\n| Rayne | Aberdeenshire | Aberdeenshire | | | 3,106 | 940 |\n| Reay | Highland | Caithness | | Partly in Sutherland until 1891 | 18,452 | 694 |\n| Redgorton | Perth and Kinross | Perthshire | | | 1,762 | 3,060 |\n| Renfrew | City of Glasgow Renfrewshire | Renfrewshire | | | 2,495 | 47,201 |\n| Rerrick | Dumfries and Galloway | Kirkcudbrightshire | | | 8,017 | 692 |\n| Rescobie | Angus | Forfarshire | | | 2,507 | 286 |\n| Resolis | Highland | Ross and Cromarty | | | 5,889 | 911 |\n| Rhu | Argyll and Bute | Dunbartonshire | | | 8,503 | 16,781 |\n| Rhynd | Perth and Kinross | Perthshire | | | 617 | 110 |\n| Rhynie | Aberdeenshire | Aberdeenshire | | | 4,851 | 560 |\n| Riccarton | East Ayrshire | Ayrshire | | | 3,682 | 15,993 |\n| Roberton | Scottish Borders | Roxburghshire | | Partly in Selkirkshire until 1891 | 11,955 | 199 |\n| Rogart | Highland | Sutherland | | | 37,503 | 458 |\n| Rosemarkie | Highland | Ross and Cromarty | | | 3,059 | 2,407 |\n| Rosneath | Argyll and Bute | Dunbartonshire | | | 3,450 | 3,221 |\n| Rosskeen | Highland | Ross and Cromarty | | | 16,446 | 7,894 |\n| Rothes | Moray | Morayshire | | Partly in Banffshire until 1891 | 6,959 | 1,446 |\n| Rothesay | Argyll and Bute | Bute | | | 270 | 5,377 |\n| Rothiemay | Moray | Banffshire | | Partly in Aberdeenshire until 1891 | 4,434 | 635 |\n| Rousay and Egilsay | Orkney | Orkney | | | 5,702 | 271 |\n| Roxburgh | Scottish Borders | Roxburghshire | | | 2,833 | 512 |\n| Rutherglen | City of Glasgow South Lanarkshire | Lanarkshire | | | 825 | 28,098 |\n| Ruthven | Angus | Forfarshire | | | 1,171 | 151 |\n| Ruthwell | Dumfries and Galloway | Dumfriesshire | | | 2,760 | 488 |\n| Saddell and Skipness | Argyll and Bute | Argyllshire | | | 20,899 | 663 |\n| Saline | Fife | Fife | | | 4,761 | 1,762 |\n| Saltoun | East Lothian | Haddingtonshire | | | 884 | 406 |\n| Sandsting | Shetland | Zetland | | | 18,708 | 1,152 |\n| Sandwick | Orkney | Orkney | | | 5,382 | 835 |\n| Sanquhar | Dumfries and Galloway | Dumfriesshire | | | 15,833 | 2,449 |\n| Scone | Perth and Kinross | Perthshire | | | 2,952 | 5,208 |\n| Scoonie | Fife | Fife | | | 3,042 | 9,613 |\n| Selkirk | Scottish Borders | Selkirkshire | | Partly in Roxburghshire until 1891 | 12,223 | 6,401 |\n| Shapinsay | Orkney | Orkney | | | 2,783 | 307 |\n| Shotts | North Lanarkshire West Lothian | Lanarkshire | | | 13,593 | 14,864 |\n| Skene | Aberdeenshire | Aberdeenshire | | | 4,912 | 12,208 |\n| Skirling | Scottish Borders | Peeblesshire | | | 768 | 194 |\n| Slains | Aberdeenshire | Aberdeenshire | | | 3,645 | 472 |\n| Slamannan | Falkirk | Stirlingshire | | | 3,190 | 2,403 |\n| Sleat | Highland | Inverness-shire | Armadale, Isleornsay, Kilmore, Tarskavaig | | 17,186 | 913 |\n| Smailholm | Scottish Borders | Roxburghshire | | | 1,547 | 119 |\n| Small Isles | Highland | Inverness-shire | | Islands of Canna, Sanday, Rhum, Muck and Hyskier part of Argyllshire until 1891 | 15,586 | 153 |\n| Snizort | Highland | Inverness-shire | Bernisdale, Borve, Carbost, Kensaleyre, Kingsburgh, Skeabost, Treaslane, Uig | | 20,981 | 1,350 |\n| Sorbie | Dumfries and Galloway | Wigtownshire | | | 2,798 | 557 |\n| Sorn | East Ayrshire | Ayrshire | | | 7,321 | 3,006 |\n| South Knapdale | Argyll and Bute | Argyllshire | | | 28,109 | 2,345 |\n| South Ronaldsay | Orkney | Orkney | | | 6,147 | 1,318 |\n| South Uist | Na h-Eileanan Siar | Inverness-shire | Balivanich, Bornish, Daliburgh, Howmore, Iochdar, Lochboisdale | | 39,701 | 3,227 |\n| Southdean | Scottish Borders | Roxburghshire | | | 9,562 | 294 |\n| Southend | Argyll and Bute | Argyllshire | | | 13,357 | 408 |\n| Speymouth | Moray | Morayshire | | | 2,839 | 1,370 |\n| Spott | East Lothian Scottish Borders | Haddingtonshire | | | 1,092 | 194 |\n| Sprouston | Scottish Borders | Roxburghshire | | | 3,142 | 382 |\n| Spynie | Moray | Morayshire | | | 3,595 | 6,704 |\n| St Andrews and Deerness | Orkney | Orkney | | | 5,637 | 1,007 |\n| St Andrews and St Leonards | Fife | Fife | | | 4,776 | 18,421 |\n| St Andrews-Lhanbryd | Moray | Morayshire | | | 4,264 | 8,938 |\n| St Boswells | Scottish Borders | Roxburghshire | | | 1,573 | 1,729 |\n| St Cyrus | Aberdeenshire Angus | Kincardineshire | | | 3,616 | 1,573 |\n| St Fergus | Aberdeenshire | Aberdeenshire | | Detached part of Banffshire until 1891 | 4,362 | 1,118 |\n| St Madoes | Perth and Kinross | Perthshire | | | 476 | 1,281 |\n| St Martins | Perth and Kinross | Perthshire | | | 3,385 | 946 |\n| St Monance | Fife | Fife | | | 804 | 1,357 |\n| St Mungo | Dumfries and Galloway | Dumfriesshire | | | 2,232 | 271 |\n| St Ninians | Stirling | Stirlingshire | | | 14,891 | 26,917 |\n| Stair | East Ayrshire | Ayrshire | | | 2,201 | 314 |\n| Stenness | Orkney | Orkney | | | 5,408 | 502 |\n| Stenton | East Lothian Scottish Borders | Haddingtonshire | | | 3,482 | 405 |\n| Stevenston | North Ayrshire | Ayrshire | | | 925 | 11,423 |\n| Stewarton | East Ayrshire | Ayrshire | | | 5,981 | 7,815 |\n| Stichill | Scottish Borders | Roxburghshire | | | 805 | 203 |\n| Stirling | Stirling | Stirlingshire | | Partly in Clackmannanshire until 1891 | 551 | 17,050 |\n| Stobo | Scottish Borders | Peeblesshire | | | 4,332 | 183 |\n| Stonehouse | South Lanarkshire | Lanarkshire | | | 1,903 | 5,883 |\n| Stoneykirk | Dumfries and Galloway | Wigtownshire | | | 9,152 | 1,179 |\n| Stornoway | Na h-Eileanan Siar | Ross and Cromarty | | | 26,689 | 13,009 |\n| Stow | Scottish Borders | Midlothian | | | 9,189 | 1,207 |\n| Stracathro | Aberdeenshire Angus | Forfarshire | | | 2,839 | 299 |\n| Strachan | Aberdeenshire | Kincardineshire | | | 15,616 | 544 |\n| Strachur | Argyll and Bute | Argyllshire | Strachur | | 7,373 | 606 |\n| Straiton | East Ayrshire South Ayrshire | Ayrshire | | | 23,822 | 2,171 |\n| Stranraer | Dumfries and Galloway | Wigtownshire | | | 31 | 561 |\n| Strath | Highland | Inverness-shire | Broadford, Elgol, Kilmarie, Kyleakin, Luib, Torrin | | 28,567 | 1,869 |\n| Strathblane | Stirling | Stirlingshire | | | 3,744 | 2,342 |\n| Strathdon | Aberdeenshire | Aberdeenshire | | | 20,160 | 410 |\n| Strathlachlan | Argyll and Bute | Argyllshire | | | 5,434 | 146 |\n| Strathmiglo | Fife | Fife | | | 3,256 | 1,274 |\n| Strichen | Aberdeenshire | Aberdeenshire | | | 6,873 | 1,621 |\n| Stromness | Orkney | Orkney | | | 2,860 | 2,286 |\n| Stronsay | Orkney | Orkney | | | 3,618 | 353 |\n| Swinton | Scottish Borders | Berwickshire | | | 4,066 | 578 |\n| Symington | South Ayrshire | Ayrshire | | | 2,479 | 1,642 |\n| Symington | South Lanarkshire | Lanarkshire | | | 628 | 800 |\n| Tain | Highland | Ross and Cromarty | | | 7,464 | 4,369 |\n| Tannadice | Angus | Forfarshire | | | 12,808 | 522 |\n| Tarbat | Highland | Ross and Cromarty | | | 3,442 | 870 |\n| Tarbolton | South Ayrshire | Ayrshire | | | 5,066 | 5,675 |\n| Tarland | Aberdeenshire | Aberdeenshire | | | 3,974 | 1,009 |\n| Tarves | Aberdeenshire | Aberdeenshire | | | 7,413 | 2,354 |\n| Tealing | Angus | Forfarshire | | | 1,646 | 622 |\n| Temple | Midlothian | Midlothian | | | 5,377 | 225 |\n| Terregles | Dumfries and Galloway | Kirkcudbrightshire | | | 1,860 | 7,354 |\n| Teviothead | Scottish Borders | Roxburghshire | | | 12,988 | 146 |\n| Thurso | Highland | Caithness | | | 10,871 | 9,112 |\n| Tibbermore | Perth and Kinross | Perthshire | | | 2,635 | 26,564 |\n| Tillicoultry | Clackmannanshire | Clackmannanshire | | | 3,915 | 6,129 |\n| Tingwall | Shetland | Zetland | | | 12,437 | 3,058 |\n| Tinwald | Dumfries and Galloway | Dumfriesshire | | | 4,374 | 588 |\n| Tiree | Argyll and Bute | Argyllshire | | | 7,918 | 653 |\n| Tongland | Dumfries and Galloway | Kirkcudbrightshire | | | 4,854 | 454 |\n| Tongue | Highland | Sutherland | | | 54,335 | 564 |\n| Torosay | Argyll and Bute | Argyllshire | | | 24,537 | 645 |\n| Torphichen | West Lothian | Linlithgowshire | | | 3,564 | 3,247 |\n| Torryburn | Fife | Fife | | | 2,091 | 1,587 |\n| Torthorwald | Dumfries and Galloway | Dumfriesshire | | | 3,159 | 1,208 |\n| Tough | Aberdeenshire | Aberdeenshire | | | 2,307 | 334 |\n| Towie | Aberdeenshire | Aberdeenshire | | | 4,931 | 126 |\n| Tranent | East Lothian | Haddingtonshire | | | 2,468 | 18,073 |\n| Traquair | Scottish Borders | Peeblesshire | | | 6,928 | 1,187 |\n| Trinity Gask | Perth and Kinross | Perthshire | | | 3,277 | 291 |\n| Troqueer | Dumfries and Galloway | Kirkcudbrightshire | | | 3,240 | 11,659 |\n| Tulliallan | Fife | Fife | | Detached part of Perthshire until 1891 | 2,193 | 3,001 |\n| Tullynessle and Forbes | Aberdeenshire | Aberdeenshire | | | 4,049 | 653 |\n| Tundergarth | Dumfries and Galloway | Dumfriesshire | | | 1,604 | 141 |\n| Turriff | Aberdeenshire | Aberdeenshire | | | 6,593 | 6,306 |\n| Tweedsmuir | Scottish Borders | Peeblesshire | | | 13,000 | 114 |\n| Twynholm | Dumfries and Galloway | Kirkcudbrightshire | | | 4,664 | 1,084 |\n| Tynron | Dumfries and Galloway | Dumfriesshire | | | 5,678 | 135 |\n| Tyrie | Aberdeenshire | Aberdeenshire | | | 1,928 | 1,367 |\n| Udny | Aberdeenshire | Aberdeenshire | | | 4,237 | 2,407 |\n| Uig | Na h-Eileanan Siar | Ross and Cromarty | | | 55,752 | 1,595 |\n| Unst | Shetland | Zetland | | | 12,260 | 632 |\n| Uphall | West Lothian | Linlithgowshire | | | 1,948 | 18,463 |\n| Urquhart | Moray | Morayshire | | | 5,027 | 1,650 |\n| Urquhart and Glenmoriston | Highland | Inverness-shire | | | 52,716 | 2,386 |\n| Urquhart and Logie Wester | Highland | Ross and Cromarty | | Partly in detached part of Nairnshire until 1891 | 5,023 | 3,678 |\n| Urr | Dumfries and Galloway | Kirkcudbrightshire | | | 5,098 | 5,330 |\n| Urray | Highland | Ross and Cromarty | | Partly in Inverness-shire until 1891 | 14,741 | 3,920 |\n| Walls and Flotta | Orkney | Orkney | | | 3,922 | 454 |\n| Walls and Sandness | Shetland | Zetland | | | 7,055 | 619 |\n| Walston | South Lanarkshire | Lanarkshire | | | 6,610 | 290 |\n| Wamphray | Dumfries and Galloway | Dumfriesshire | | | 4,034 | 220 |\n| Watten | Highland | Caithness | | | 14,182 | 749 |\n| Weem | Perth and Kinross | Perthshire | | | 2,694 | 104 |\n| Wemyss | Fife | Fife | | | 986 | 18,255 |\n| West Calder | West Lothian | Midlothian | | | 7,225 | 8,440 |\n| West Kilbride | North Ayrshire | Ayrshire | | | 5,847 | 5,699 |\n| West Linton | Scottish Borders | Peeblesshire | | | 8,958 | 2,433 |\n| Westerkirk | Dumfries and Galloway | Dumfriesshire | | | 10,375 | 169 |\n| Westray | Orkney | Orkney | | | 4,756 | 588 |\n| Westruther | Scottish Borders | Berwickshire | | | 5,742 | 393 |\n| Whitburn | West Lothian | Linlithgowshire | | | 4,339 | 20,968 |\n| Whitekirk and Tyninghame | East Lothian | Haddingtonshire | | | 2,966 | 512 |\n| Whithorn | Dumfries and Galloway | Wigtownshire | | | 3,688 | 1,311 |\n| Whitsome | Scottish Borders | Berwickshire | | | 194 | 98 |\n| Whittingehame | East Lothian | Haddingtonshire | | | 1,424 | 186 |\n| Wick | Highland | Caithness | | | 19,262 | 9,255 |\n| Wigtown | Dumfries and Galloway | Wigtownshire | | | 3,424 | 1,168 |\n| Wiston and Roberton | South Lanarkshire | Lanarkshire | | | 4,158 | 324 |\n| Yarrow | Scottish Borders | Selkirkshire | | Merged with Megget in Peeblesshire until 1891 | 21,117 | 281 |\n| Yell | Shetland | Zetland | | | 21,611 | 966 |\n| Yester | East Lothian | Haddingtonshire | | | 7,992 | 1,179 |\n| Yetholm | Scottish Borders | Roxburghshire | | | 2,686 | 668 |" + } + ] + }, + { + "id": "table_recognition_train_item_34963", + "image": "table_instructV/images/TABMWP_19362.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $295 | 8,700 | 11,300 |\n| $425 | 8,100 | 14,000 |\n| $555 | 7,500 | 16,700 |\n| $685 | 6,900 | 19,400 |\n| $815 | 6,300 | 22,100 |" + } + ] + }, + { + "id": "table_recognition_train_item_106745", + "image": "table_instructV/images/ToTTo_train_table_28344.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Name | Score | Balls | 4s | 6s | S/R | Team | Opposition | Venue | Date | ODI #. |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NJ Astle | 101 | 132 | 8 | 2 | 76.51 | New Zealand | England | Ahmedabad | 14 February 1996 | 1048 |\n| G Kirsten | 188* | 159 | 13 | 4 | 118.23 | South Africa | United Arab Emirates | Rawalpindi | 16 February 1996 | 1049 |\n| SR Tendulkar | 127* | 138 | 15 | 1 | 92.02 | India | Kenya | Barabati Stadium, Cuttack | 18 February 1996 | 1052 |\n| GA Hick | 104* | 133 | 6 | 2 | 78.19 | England | Netherlands | Peshawar | 22 February 1996 | 1057 |\n| ME Waugh | 130 | 128 | 14 | 1 | 101.56 | Australia | Kenya | Visakhapatnam | 23 February 1996 | 1058 |\n| ME Waugh | 126 | 135 | 8 | 3 | 93.33 | Australia | India | Wankhede Stadium, Mumbai | 27 February 1996 | 1065 |\n| Aamer Sohail | 111 | 139 | 8 | 0 | 79.85 | Pakistan | South Africa | National Stadium, Karachi | 29 February 1996 | 1067 |\n| SR Tendulkar | 137 | 137 | 8 | 5 | 100.00 | India | Sri Lanka | FSK, Delhi | 2 March 1996 | 1070 |\n| RT Ponting | 102 | 112 | 5 | 1 | 91.07 | Australia | West Indies | Jaipur | 4 March 1996 | 1072 |\n| AC Hudson | 161 | 132 | 13 | 4 | 121.96 | South Africa | Netherlands | Rawalpindi | 5 March 1996 | 1073 |\n| PA de Silva | 145 | 115 | 14 | 5 | 126.08 | Sri Lanka | Kenya | Kandy | 6 March 1996 | 1074 |\n| VG Kambli | 106 | 110 | 11 | 0 | 96.36 | India | Zimbabwe | Green Park, Kanpur | 6 March 1996 | 1075 |\n| BC Lara | 111 | 94 | 16 | 0 | 118.08 | West Indies | South Africa | National Stadium, Karachi | 11 March 1996 | 1079 |\n| CZ Harris | 130 | 124 | 13 | 4 | 104.83 | New Zealand | Australia | Chennai | 11 March 1996 | 1080 |\n| ME Waugh | 110 | 112 | 6 | 2 | 98.21 | Australia | New Zealand | Chennai | 11 March 1996 | 1080 |\n| PA de Silva | 107* | 124 | 13 | 0 | 86.29 | Sri Lanka | Australia | Gaddafi Stadium, Lahore | 17 March 1996 | 1083 |" + } + ] + }, + { + "id": "table_recognition_train_item_116577", + "image": "table_instructV/images/Rotowire_train_table_2631.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bulls | Chicago | 113 | 30 | 25 | 32 | 26 | 29 | 47 | 8 | 46 | 77 | 39 | 34 | 20 | | | | |\n| Cavaliers | Cleveland | 98 | 26 | 22 | 29 | 21 | 20 | 43 | 16 | 44 | 73 | 26 | 33 | 22 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Derrick Rose | 41 | 30 | 4 | 7 | 12-24 | 50% | 0-2 | 0% | 6-6 | 100% | 1 | 2 | 0 | 1 | 3 | 3 | G | Chicago |\n| Tony Snell | 38 | 22 | 2 | 1 | 9-11 | 82% | 4-6 | 67% | 0-0 | 0% | 3 | 0 | 0 | 0 | 2 | 3 | G | Chicago |\n| Pau Gasol | 32 | 18 | 10 | 6 | 6-16 | 38% | 1-1 | 100% | 5-5 | 100% | 1 | 2 | 1 | 2 | 8 | 3 | F | Chicago |\n| Taj Gibson | 32 | 13 | 6 | 1 | 5-8 | 63% | 0-0 | 0% | 3-5 | 60% | 0 | 2 | 0 | 2 | 4 | 3 | N/A | Chicago |\n| Joakim Noah | 31 | 10 | 15 | 8 | 2-6 | 33% | 0-0 | 0% | 6-10 | 60% | 0 | 1 | 1 | 5 | 10 | 3 | C | Chicago |\n| Aaron Brooks | 19 | 8 | 3 | 2 | 3-12 | 25% | 2-5 | 40% | 0-0 | 0% | 3 | 0 | 1 | 1 | 2 | 3 | N/A | Chicago |\n| Nikola Mirotic | 19 | 7 | 4 | 2 | 3-8 | 38% | 1-5 | 20% | 0-0 | 0% | 1 | 0 | 0 | 2 | 2 | 3 | N/A | Chicago |\n| Mike Dunleavy | 28 | 5 | 3 | 1 | 2-7 | 29% | 1-4 | 25% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 2 | F | Chicago |\n| Doug McDermott | 1 | 0 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Chicago |\n| Cameron Bairstow | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Nazr Mohammed | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| E'Twaun Moore | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Cavaliers | | | | | | | | | | | | | | | | | | |\n| LeBron James | 34 | 31 | 5 | 4 | 12-26 | 46% | 2-9 | 22% | 5-6 | 83% | 0 | 8 | 0 | 0 | 5 | 3 | F | Cleveland |\n| Kyrie Irving | 38 | 17 | 6 | 7 | 6-18 | 33% | 1-3 | 33% | 4-6 | 67% | 1 | 1 | 1 | 3 | 3 | 1 | G | Cleveland |\n| Timofey Mozgov | 26 | 13 | 11 | 0 | 5-6 | 83% | 0-0 | 0% | 3-6 | 50% | 0 | 1 | 1 | 2 | 9 | 5 | C | Cleveland |\n| Tristan Thompson | 32 | 10 | 8 | 1 | 5-5 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 3 | 5 | 3 | F | Cleveland |\n| James Jones | 30 | 9 | 3 | 1 | 2-8 | 25% | 2-8 | 25% | 3-3 | 100% | 1 | 1 | 0 | 1 | 2 | 3 | N/A | Cleveland |\n| JR Smith | 31 | 8 | 4 | 4 | 3-10 | 30% | 1-5 | 20% | 1-1 | 100% | 3 | 2 | 1 | 0 | 4 | 4 | G | Cleveland |\n| Iman Shumpert | 22 | 6 | 2 | 1 | 2-6 | 33% | 2-4 | 50% | 0-0 | 0% | 0 | 2 | 0 | 1 | 1 | 1 | N/A | Cleveland |\n| Matthew Dellavedova | 16 | 2 | 2 | 2 | 1-4 | 25% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Cleveland |\n| Shawn Marion | 8 | 2 | 0 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Cleveland |\n| Mike Miller | 3 | 0 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Cleveland |\n| Kevin Love | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Brendan Haywood | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |" + } + ] + }, + { + "id": "table_recognition_train_item_111619", + "image": "table_instructV/images/Rotowire_train_table_152.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hawks | Atlanta | 95 | 27 | 20 | 24 | 24 | 24 | 51 | 19 | 40 | 72 | 22 | 38 | 36 | | | | |\n| Suns | Phoenix | 91 | 12 | 32 | 24 | 23 | 25 | 48 | 15 | 37 | 58 | 23 | 22 | 53 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hawks | | | | | | | | | | | | | | | | | | |\n| Dennis Schroder | 39 | 27 | 6 | 9 | 12-27 | 44% | 2-8 | 25% | 1-1 | 100% | 1 | 8 | 0 | 0 | 6 | 4 | G | Atlanta |\n| Ersan Ilyasova | 33 | 18 | 12 | 1 | 6-15 | 40% | 2-7 | 29% | 4-6 | 67% | 1 | 2 | 0 | 3 | 9 | 4 | F | Atlanta |\n| Taurean Prince | 36 | 15 | 6 | 1 | 5-10 | 50% | 1-4 | 25% | 4-5 | 80% | 1 | 2 | 2 | 0 | 6 | 5 | F | Atlanta |\n| Dwight Howard | 36 | 15 | 11 | 4 | 6-8 | 75% | 0-0 | 0% | 3-5 | 60% | 1 | 3 | 4 | 2 | 9 | 4 | C | Atlanta |\n| Kris Humphries | 10 | 7 | 5 | 2 | 0-3 | 0% | 0-0 | 0% | 7-8 | 88% | 0 | 1 | 0 | 2 | 3 | 2 | N/A | Atlanta |\n| Jose Calderon | 18 | 6 | 1 | 2 | 2-5 | 40% | 0-2 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Atlanta |\n| Mike Dunleavy | 18 | 3 | 4 | 1 | 1-4 | 25% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 1 | 3 | 1 | N/A | Atlanta |\n| Tim Hardaway Jr. | 32 | 2 | 3 | 3 | 1-9 | 11% | 0-4 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 2 | G | Atlanta |\n| Mike Muscala | 11 | 2 | 1 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 0 | N/A | Atlanta |\n| DeAndre' Bembry | 5 | 0 | 2 | 0 | 0-2 | 0% | 0-0 | 0% | 0-2 | 0% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | Atlanta |\n| Ryan Kelly | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Thabo Sefolosha | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Malcolm Delaney | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Suns | | | | | | | | | | | | | | | | | | |\n| TJ Warren | 40 | 24 | 8 | 3 | 11-20 | 55% | 0-1 | 0% | 2-2 | 100% | 2 | 6 | 2 | 4 | 4 | 5 | F | Phoenix |\n| Tyler Ulis | 40 | 15 | 6 | 10 | 6-16 | 38% | 1-5 | 20% | 2-2 | 100% | 1 | 1 | 0 | 2 | 4 | 2 | G | Phoenix |\n| Derrick Jones, Jr. | 34 | 13 | 3 | 0 | 6-11 | 55% | 1-2 | 50% | 0-2 | 0% | 1 | 0 | 0 | 2 | 1 | 1 | G | Phoenix |\n| Alex Len | 25 | 12 | 7 | 0 | 3-9 | 33% | 0-1 | 0% | 6-10 | 60% | 3 | 3 | 1 | 2 | 5 | 4 | C | Phoenix |\n| Marquese Chriss | 19 | 7 | 3 | 1 | 2-11 | 18% | 1-5 | 20% | 2-4 | 50% | 0 | 2 | 1 | 2 | 1 | 5 | F | Phoenix |\n| Jarell Eddie | 18 | 7 | 2 | 0 | 2-9 | 22% | 2-8 | 25% | 1-2 | 50% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Phoenix |\n| Jared Dudley | 35 | 6 | 8 | 7 | 2-11 | 18% | 1-6 | 17% | 1-2 | 50% | 3 | 1 | 2 | 0 | 8 | 6 | N/A | Phoenix |\n| Alan Williams | 15 | 4 | 8 | 0 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 2 | 6 | 5 | N/A | Phoenix |\n| Ronnie Price | 14 | 3 | 3 | 4 | 1-4 | 25% | 1-3 | 33% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 3 | N/A | Phoenix |\n| Leandro Barbosa | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Tyson Chandler | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Eric Bledsoe | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Brandon Knight | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |" + } + ] + }, + { + "id": "table_recognition_train_item_60494", + "image": "table_instructV/images/TabFact_2-10869646-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| home team | home team score | away team | away team score | venue | crowd | date |\n| --- | --- | --- | --- | --- | --- | --- |\n| melbourne | 13.11 (89) | north melbourne | 19.15 (129) | mcg | 23616 | 4 may 1974 |\n| essendon | 12.26 (98) | geelong | 10.14 (74) | windy hill | 19123 | 4 may 1974 |\n| st kilda | 13.12 (90) | richmond | 15.20 (110) | moorabbin oval | 30673 | 4 may 1974 |\n| south melbourne | 14.16 (100) | fitzroy | 15.10 (100) | lake oval | 10316 | 4 may 1974 |\n| collingwood | 13.14 (92) | carlton | 10.14 (74) | victoria park | 33452 | 4 may 1974 |\n| footscray | 11.19 (85) | hawthorn | 8.14 (62) | vfl park | 20281 | 4 may 1974 |" + } + ] + }, + { + "id": "table_recognition_train_item_115597", + "image": "table_instructV/images/Rotowire_train_table_2141.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pistons | Detroit | 102 | 32 | 19 | 20 | 31 | 24 | 44 | 9 | 46 | 67 | 38 | 12 | 11 | | | | |\n| Bulls | Chicago | 91 | 21 | 23 | 28 | 19 | 15 | 45 | 14 | 44 | 72 | 13 | 11 | 10 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pistons | | | | | | | | | | | | | | | | | | |\n| Tobias Harris | 40 | 22 | 7 | 2 | 9-16 | 56% | 2-4 | 50% | 2-2 | 100% | 1 | 0 | 1 | 0 | 7 | 1 | F | Detroit |\n| Andre Drummond | 25 | 15 | 10 | 0 | 7-13 | 54% | 0-0 | 0% | 1-4 | 25% | 1 | 0 | 3 | 3 | 7 | 3 | C | Detroit |\n| Marcus Morris | 26 | 13 | 1 | 0 | 5-9 | 56% | 3-5 | 60% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 2 | F | Detroit |\n| Kentavious Caldwell-Pope | 31 | 12 | 3 | 3 | 5-10 | 50% | 1-5 | 20% | 1-2 | 50% | 1 | 2 | 0 | 1 | 2 | 3 | G | Detroit |\n| Darrun Hilliard | 17 | 9 | 0 | 0 | 4-7 | 57% | 1-3 | 33% | 0-0 | 0% | 2 | 0 | 0 | 0 | 0 | 2 | N/A | Detroit |\n| Jon Leuer | 23 | 9 | 5 | 1 | 3-6 | 50% | 0-1 | 0% | 3-4 | 75% | 1 | 0 | 0 | 1 | 4 | 2 | N/A | Detroit |\n| Aron Baynes | 23 | 8 | 9 | 1 | 3-6 | 50% | 0-0 | 0% | 2-2 | 100% | 2 | 1 | 1 | 3 | 6 | 2 | N/A | Detroit |\n| Reggie Jackson | 18 | 7 | 3 | 7 | 2-9 | 22% | 1-1 | 100% | 2-3 | 67% | 2 | 2 | 0 | 0 | 3 | 3 | G | Detroit |\n| Ish Smith | 30 | 7 | 5 | 10 | 2-11 | 18% | 0-2 | 0% | 3-4 | 75% | 0 | 0 | 0 | 1 | 4 | 3 | N/A | Detroit |\n| Stanley Johnson | 6 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 2 | N/A | Detroit |\n| Boban Marjanovic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Beno Udrih | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Henry Ellenson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Jimmy Butler | 43 | 32 | 6 | 4 | 11-21 | 52% | 0-4 | 0% | 10-10 | 100% | 0 | 3 | 1 | 0 | 6 | 1 | F | Chicago |\n| Dwyane Wade | 34 | 19 | 3 | 8 | 5-13 | 39% | 0-2 | 0% | 9-10 | 90% | 1 | 2 | 0 | 0 | 3 | 3 | G | Chicago |\n| Taj Gibson | 29 | 11 | 10 | 0 | 5-10 | 50% | 0-1 | 0% | 1-2 | 50% | 2 | 2 | 0 | 1 | 9 | 4 | F | Chicago |\n| Rajon Rondo | 37 | 10 | 3 | 1 | 4-10 | 40% | 1-2 | 50% | 1-3 | 33% | 0 | 3 | 1 | 1 | 2 | 4 | G | Chicago |\n| Robin Lopez | 33 | 8 | 8 | 1 | 3-5 | 60% | 0-0 | 0% | 2-6 | 33% | 0 | 3 | 3 | 3 | 5 | 1 | C | Chicago |\n| Nikola Mirotic | 23 | 5 | 6 | 0 | 2-7 | 29% | 1-4 | 25% | 0-0 | 0% | 2 | 0 | 1 | 0 | 6 | 2 | N/A | Chicago |\n| Cristiano Felicio | 15 | 4 | 6 | 0 | 2-4 | 50% | 0-0 | 0% | 0-1 | 0% | 0 | 1 | 1 | 4 | 2 | 1 | N/A | Chicago |\n| Isaiah Canaan | 23 | 2 | 3 | 1 | 1-5 | 20% | 0-2 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 3 | N/A | Chicago |\n| Jerian Grant | 4 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Chicago |\n| RJ Hunter | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Denzel Valentine | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Bobby Portis | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Paul Zipser | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |" + } + ] + }, + { + "id": "table_recognition_train_item_33112", + "image": "table_instructV/images/TABMWP_25952.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| Number of trucks | Number of flashlights |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | 20 |\n| 5 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_50504", + "image": "table_instructV/images/TAT-QA_e5ef44e0-fc25-4bc9-8f75-04ecf35598bf.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| | As of December 31, | |\n| --- | --- | --- |\n| | 2019 | 2018 |\n| Equity securities - U.S. holdings(1) | $24,586 | $20,469 |\n| Equity funds - U.S. holdings(1) (7) | — | 54 |\n| Bond funds - government(4) (7) | 33,991 | 19,146 |\n| Bond funds - other(5) (7) | 207,901 | 202,393 |\n| Real estate(6) (7) | 2,979 | 2,652 |\n| Cash and cash equivalents(2) | 5,700 | 5,866 |\n| Partnerships(3) | 7,539 | 9,172 |\n| Total fair value of plan assets | $282,696 | $259,752 |" + } + ] + }, + { + "id": "table_recognition_train_item_33671", + "image": "table_instructV/images/TABMWP_31411.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| | Rectangle | Circle |\n| --- | --- | --- |\n| Spinach | 5 | 5 |\n| Cheese | 4 | 5 |" + } + ] + }, + { + "id": "table_recognition_train_item_66744", + "image": "table_instructV/images/TabFact_2-10769660-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| round | pick | player | position | college |\n| --- | --- | --- | --- | --- |\n| 1 | 4 | dewayne robertson | defensive tackle | kentucky |\n| 2 | 53 | victor hobson | linebacker | michigan |\n| 3 | 85 | b j askew | fullback | michigan |\n| 5 | 140 | derek pagel | safety | iowa |\n| 5 | 150 | matt walters | defensive end | miami (fl) |\n| 6 | 200 | brooks bollinger | quarterback | wisconsin |\n| 7 | 237 | dave yovanovits | guard | temple |" + } + ] + }, + { + "id": "table_recognition_train_item_69772", + "image": "table_instructV/images/TabFact_2-16025466-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | september 12 , 1999 | indianapolis colts | l 31 - 14 | 56238 |\n| 2 | september 19 , 1999 | new york jets | w 17 - 3 | 68839 |\n| 3 | september 26 , 1999 | philadelphia eagles | w 26 - 0 | 70872 |\n| 4 | october 4 , 1999 | miami dolphins | w 23 - 18 | 74073 |\n| 5 | october 10 , 1999 | pittsburgh steelers | w 24 - 21 | 71038 |\n| 6 | october 17 , 1999 | oakland raiders | l 20 - 14 | 71113 |\n| 7 | october 24 , 1999 | seattle seahawks | l 26 - 16 | 66301 |\n| 8 | october 31 , 1999 | baltimore ravens | w 13 - 10 | 68673 |\n| 9 | november 7 , 1999 | washington redskins | w 34 - 17 | 78721 |\n| 10 | november 14 , 1999 | miami dolphins | w 23 - 3 | 72810 |\n| 11 | november 21 , 1999 | new york jets | l 17 - 7 | 79285 |\n| 12 | november 28 , 1999 | new england patriots | w 17 - 7 | 72111 |\n| 14 | december 12 , 1999 | new york giants | l 19 - 17 | 72527 |\n| 15 | december 19 , 1999 | arizona cardinals | w 31 - 21 | 64337 |\n| 16 | december 26 , 1999 | new england patriots | w 13 - 10 | 55014 |\n| 17 | january 2 , 2000 | indianapolis colts | w 31 - 6 | 61959 |" + } + ] + }, + { + "id": "table_recognition_train_item_32018", + "image": "table_instructV/images/TABMWP_13448.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | Green | Yellow |\n| --- | --- | --- |\n| Small | 4 | 6 |\n| Medium | 2 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_63352", + "image": "table_instructV/images/TabFact_2-11734041-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| player | no (s) | height in ft | position | school / club team / country |\n| --- | --- | --- | --- | --- |\n| davis , ben ben davis | 4 | 6 - 9 | forward | arizona |\n| davis , emanual emanual davis | 15 | 6 - 4 | guard | delaware state |\n| davis , jim jim davis | 30 | 6 - 9 | center | colorado |\n| davis , josh josh davis | 00 | 6 - 8 | forward | wyoming |\n| dickerson , michael michael dickerson | 3 | 6 - 5 | guard | arizona |\n| dinkins , byron byron dinkins | 9 | 6 - 1 | guard | north carolina - charlotte |\n| dorsey , jacky jacky dorsey | 44 | 6 - 7 | forward | georgia |\n| dorsey , joey joey dorsey | 15 | 6 - 7 | forward / center | memphis |\n| drew , bryce bryce drew | 11 | 6 - 3 | guard | valparaiso |\n| drexler , clyde clyde drexler | 22 | 6 - 7 | guard | houston |\n| dunleavy , mike mike dunleavy | 10 , 31 | 6 - 3 | guard | south carolina |" + } + ] + }, + { + "id": "table_recognition_train_item_100746", + "image": "table_instructV/images/ToTTo_train_table_3191.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Date | Type | Race | Location | Class | Driver |\n| --- | --- | --- | --- | --- | --- |\n| August 7, 1938 | 158 | Coppa Ciano | Livorno | Voiturette | Emilio Villoresi |\n| September 11, 1938 | 158 | Milan Grand Prix | Monza | Voiturette | Emilio Villoresi |\n| July 30, 1939 | 158 | Coppa Ciano | Livorno | Voiturette | Giuseppe Farina |\n| August 13, 1939 | 158 | Coppa Acerbo | Pescara | Voiturette | Clemente Biondetti |\n| August 20, 1939 | 158 | Swiss Grand Prix | Bremgarten | Voiturette | Giuseppe Farina |\n| May 12, 1940 | 158 | Tripoli Grand Prix | Libya | Voiturette | Giuseppe Farina |\n| July 21, 1946 | 158 | Grand Prix of Nations | Geneva | | Giuseppe Farina |\n| September 1, 1946 | 158 | Valentino Grand Prix | Turin, Valentino Park | non-Champ. F1 | Achille Varzi |\n| September 30, 1946 | 158 | Milan Grand Prix | Milan, Sempione Park | | Carlo Felice Trossi |\n| June 8, 1947 | 158 | Swiss Grand Prix | Bremgarten | | Jean-Pierre Wimille |\n| June 29, 1947 | 158 | European Grand Prix | Spa | | Jean-Pierre Wimille |\n| July 13, 1947 | 158 | Bari Grand Prix | Bari | | Achille Varzi |\n| September 7, 1947 | 158 | Italian Grand Prix | Milan, Sempione Park | | Carlo Felice Trossi |\n| July 4, 1948 | 158 | Swiss Grand Prix | Bremgarten | | Carlo Felice Trossi |\n| July 18, 1948 | 158 | French Grand Prix | Reims | | Jean-Pierre Wimille |\n| September 5, 1948 | 158 | Italian Grand Prix | Turin, Valentino Park | | Jean-Pierre Wimille |\n| October 17, 1948 | 158 | Autodrome Grand Prix | Monza | | Jean-Pierre Wimille |\n| April 16, 1950 | 158 | San Remo Grand Prix | Ospedaletti | | Juan Manuel Fangio |\n| May 13, 1950 | 158 | European Grand Prix | Silverstone | Formula One | Giuseppe Farina |\n| May 21, 1950 | 158 | Monaco Grand Prix | Monaco | Formula One | Juan Manuel Fangio |\n| June 4, 1950 | 158 | Swiss Grand Prix | Bremgarten | Formula One | Giuseppe Farina |\n| June 18, 1950 | 158 | Belgian Grand Prix | Spa | Formula One | Juan Manuel Fangio |\n| July 2, 1950 | 158 | French Grand Prix | Reims | Formula One | Juan Manuel Fangio |\n| July 9, 1950 | 158 | Bari Grand Prix | Bari | | Giuseppe Farina |\n| July 30, 1950 | 158 | Grand Prix of Nations | Geneva | | Juan Manuel Fangio |\n| August 15, 1950 | 158 | Coppa Acerbo | Pescara | | Juan Manuel Fangio |\n| August 26, 1950 | 158 | International Trophy | Silverstone | non-Champ. F1 | Giuseppe Farina |\n| September 3, 1950 | 158 | Italian Grand Prix | Monza | Formula One | Giuseppe Farina |\n| May 27, 1951 | 159 | Swiss Grand Prix | Bremgarten | Formula One | Juan Manuel Fangio |\n| June 2, 1951 | 159 | Ulster Trophy | Dundrod | | Giuseppe Farina |\n| June 17, 1951 | 159 | Belgian Grand Prix | Spa | Formula One | Giuseppe Farina |\n| July 1, 1951 | 159 | French Grand Prix | Reims | Formula One | Luigi Fagioli/Juan Manuel Fangio |\n| October 28, 1951 | 159 | Spanish Grand Prix | Pedralbes | Formula One | Juan Manuel Fangio |\n| September 2, 1951 | 159 | Bari Grand Prix | Bari | | Juan Manuel Fangio |\n| 1953 | 159 | Merano Grand Prix | Italy | | Juan Manuel Fangio |" + } + ] + }, + { + "id": "table_recognition_train_item_35492", + "image": "table_instructV/images/TABMWP_35432.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| | Apples | Peaches |\n| --- | --- | --- |\n| Organic | 5 | 3 |\n| Non-organic | 4 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_63950", + "image": "table_instructV/images/TabFact_2-1174877-18.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| number & name | description | current status | livery | date |\n| --- | --- | --- | --- | --- |\n| scottish tar distillers no 78 | rectangular tanker | static display in the museum | black | 1877 |\n| oakbank oil company no 13 | 10t tanker | static display in the museum | black | 1894 |\n| no a43 | shell bp tanker | static display in the museum | black | 1897 |\n| naval store no 161 | 14t tanker | static display in the museum | black | 1918 |\n| briggs , dundee no 20 | 14t tanker | operational | black | 1918 |\n| briggs no 17 | 14t tanker | stored | black | 1927 |\n| no 206 | 20t tanker | stored | silver dcl | 1930 |\n| no 241 | 20t tanker | stored | silver dcl | 1940 |\n| no 4 | 20t tanker | stored | bp chemicals | 1941 |\n| no 14 | 14t nitric acid tanker | static display in the museum | grey | 1941 |\n| no 252 | 20t tanker | stored | distiller 's co ltd silver | 1951 |\n| no 261 | 20t tanker | stored | british hydrocarbon chemicals silver | 1956 |\n| no bpo67496 | 45t tta tanker | stored | bp green | 1966 |" + } + ] + }, + { + "id": "table_recognition_train_item_49350", + "image": "table_instructV/images/TAT-QA_10e46d24-413a-4fd1-9e96-56da277f6ba9.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| (in millions of €) | 2019 | 2018 |\n| --- | --- | --- |\n| Net income | 5,648 | 6,120 |\n| Less: Other interest expenses / income, net 1 | (529) | (482) |\n| Plus: SFS Other interest expenses / income | 763 | 721 |\n| Plus: Net interest expenses related to provisions for pensions and similar | | |\n| obligations | 148 | 164 |\n| Less: Interest adjustments | | |\n| (discontinued operations) | – | – |\n| Less: Taxes on interest adjustments | | |\n| (tax rate (flat) 30%) | (115) | (121) |\n| (I) Income before interest after tax | 5,916 | 6,401 |\n| (II) Average capital employed | 53,459 | 50,715 |\n| (I) / (II) ROCE | 11.1 % | 12.6 % |" + } + ] + }, + { + "id": "table_recognition_train_item_112195", + "image": "table_instructV/images/Rotowire_train_table_440.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pistons | Detroit | 92 | 17 | 28 | 20 | 27 | 18 | 39 | 12 | 41 | 77 | 27 | 37 | 34 | | | | |\n| Bucks | Milwaukee | 91 | 30 | 18 | 26 | 17 | 23 | 40 | 13 | 54 | 57 | 56 | 30 | 41 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pistons | | | | | | | | | | | | | | | | | | |\n| Marcus Morris | 37 | 21 | 3 | 4 | 8-9 | 89% | 4-4 | 100% | 1-3 | 33% | 1 | 1 | 1 | 0 | 3 | 1 | F | Detroit |\n| Kentavious Caldwell-Pope | 38 | 15 | 3 | 3 | 6-18 | 33% | 2-11 | 18% | 1-2 | 50% | 1 | 1 | 0 | 2 | 1 | 0 | G | Detroit |\n| Andre Drummond | 33 | 14 | 16 | 0 | 7-16 | 44% | 0-0 | 0% | 0-1 | 0% | 1 | 0 | 0 | 6 | 10 | 0 | C | Detroit |\n| Tobias Harris | 37 | 13 | 6 | 2 | 4-12 | 33% | 0-2 | 0% | 5-5 | 100% | 0 | 0 | 0 | 2 | 4 | 2 | F | Detroit |\n| Anthony Tolliver | 16 | 11 | 1 | 0 | 4-9 | 44% | 3-8 | 38% | 0-0 | 0% | 0 | 1 | 1 | 0 | 1 | 4 | N/A | Detroit |\n| Reggie Jackson | 28 | 9 | 5 | 5 | 3-8 | 38% | 0-4 | 0% | 3-3 | 100% | 1 | 3 | 0 | 0 | 5 | 2 | G | Detroit |\n| Stanley Johnson | 16 | 4 | 0 | 0 | 1-6 | 17% | 0-2 | 0% | 2-2 | 100% | 2 | 5 | 0 | 0 | 0 | 4 | N/A | Detroit |\n| Steve Blake | 20 | 3 | 0 | 4 | 1-3 | 33% | 0-2 | 0% | 1-1 | 100% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Detroit |\n| Aron Baynes | 15 | 2 | 5 | 0 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 0 | 5 | 0 | N/A | Detroit |\n| Reggie Bullock | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Darrun Hilliard | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Joel Anthony | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Lorenzo Brown | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Bucks | | | | | | | | | | | | | | | | | | |\n| Khris Middleton | 32 | 27 | 1 | 4 | 11-16 | 69% | 2-3 | 67% | 3-3 | 100% | 1 | 3 | 0 | 0 | 1 | 5 | G | Milwaukee |\n| Giannis Antetokounmpo | 37 | 21 | 12 | 5 | 10-17 | 59% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 2 | 1 | 11 | 1 | F | Milwaukee |\n| Greg Monroe | 34 | 18 | 10 | 1 | 9-15 | 60% | 0-0 | 0% | 0-0 | 0% | 2 | 2 | 2 | 2 | 8 | 1 | C | Milwaukee |\n| Jabari Parker | 35 | 5 | 6 | 2 | 2-7 | 29% | 1-1 | 100% | 0-0 | 0% | 0 | 2 | 2 | 2 | 4 | 4 | F | Milwaukee |\n| Jerryd Bayless | 37 | 5 | 3 | 6 | 2-5 | 40% | 1-1 | 100% | 0-2 | 0% | 0 | 1 | 0 | 0 | 3 | 1 | G | Milwaukee |\n| Tyler Ennis | 11 | 4 | 1 | 1 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 2 | N/A | Milwaukee |\n| Miles Plumlee | 14 | 4 | 2 | 0 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 2 | N/A | Milwaukee |\n| John Henson | 14 | 3 | 1 | 3 | 1-2 | 50% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 1 | 0 | 1 | 2 | N/A | Milwaukee |\n| Damien Inglis | 13 | 2 | 3 | 1 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 1 | N/A | Milwaukee |\n| Jared Cunningham | 14 | 2 | 1 | 0 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 1 | 2 | 0 | 0 | 1 | 1 | N/A | Milwaukee |\n| Steve Novak | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Michael Carter-Williams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Johnny O'Bryant III | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |" + } + ] + }, + { + "id": "table_recognition_train_item_31826", + "image": "table_instructV/images/TABMWP_11539.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 16 | 20 |\n| 17 | 12 |\n| 18 | 7 |" + } + ] + }, + { + "id": "table_recognition_train_item_116427", + "image": "table_instructV/images/Rotowire_train_table_2556.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Spurs | San Antonio | 106 | 25 | 25 | 27 | 29 | 21 | 45 | 15 | 55 | 66 | 33 | 10 | 4 | | | | |\n| Pacers | Indiana | 100 | 27 | 28 | 21 | 24 | 23 | 36 | 12 | 46 | 56 | 48 | 6 | 9 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Manu Ginobili | 26 | 28 | 3 | 4 | 10-18 | 56% | 2-6 | 33% | 6-7 | 86% | 2 | 3 | 0 | 0 | 3 | 2 | N/A | San Antonio |\n| Kawhi Leonard | 36 | 21 | 13 | 1 | 8-12 | 67% | 2-2 | 100% | 3-6 | 50% | 1 | 2 | 0 | 1 | 12 | 3 | F | San Antonio |\n| Tony Parker | 36 | 21 | 4 | 6 | 8-16 | 50% | 1-1 | 100% | 4-6 | 67% | 1 | 3 | 0 | 1 | 3 | 1 | G | San Antonio |\n| Tim Duncan | 33 | 17 | 6 | 3 | 7-10 | 70% | 0-0 | 0% | 3-6 | 50% | 1 | 2 | 2 | 3 | 3 | 3 | F | San Antonio |\n| Aron Baynes | 15 | 9 | 3 | 1 | 4-4 | 100% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 1 | 2 | 5 | N/A | San Antonio |\n| Marco Belinelli | 17 | 6 | 4 | 0 | 2-5 | 40% | 0-1 | 0% | 2-2 | 100% | 1 | 0 | 0 | 1 | 3 | 1 | N/A | San Antonio |\n| Boris Diaw | 33 | 2 | 4 | 3 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 1 | 3 | 0 | 0 | 4 | 2 | C | San Antonio |\n| Danny Green | 29 | 2 | 5 | 3 | 1-4 | 25% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 3 | 0 | 5 | 3 | G | San Antonio |\n| Matt Bonner | 14 | 0 | 3 | 0 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 0 | N/A | San Antonio |\n| Austin Daye | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Cory Joseph | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Kyle Anderson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Jeff Ayres | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| Rodney Stuckey | 35 | 22 | 4 | 4 | 9-20 | 45% | 0-2 | 0% | 4-5 | 80% | 2 | 2 | 0 | 1 | 3 | 3 | G | Indiana |\n| Luis Scola | 26 | 13 | 6 | 1 | 5-12 | 42% | 0-0 | 0% | 3-6 | 50% | 1 | 2 | 0 | 1 | 5 | 2 | F | Indiana |\n| Chris Copeland | 23 | 12 | 3 | 1 | 4-10 | 40% | 2-4 | 50% | 2-2 | 100% | 1 | 1 | 0 | 1 | 2 | 3 | N/A | Indiana |\n| A.J. Price | 21 | 11 | 2 | 5 | 4-7 | 57% | 3-4 | 75% | 0-0 | 0% | 1 | 0 | 0 | 0 | 2 | 0 | N/A | Indiana |\n| Solomon Hill | 29 | 10 | 3 | 1 | 4-8 | 50% | 2-2 | 100% | 0-0 | 0% | 1 | 2 | 0 | 1 | 2 | 1 | F | Indiana |\n| Ian Mahinmi | 23 | 8 | 5 | 1 | 4-5 | 80% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 0 | 5 | 5 | C | Indiana |\n| Lavoy Allen | 24 | 8 | 9 | 2 | 4-7 | 57% | 0-0 | 0% | 0-1 | 0% | 0 | 1 | 0 | 2 | 7 | 3 | N/A | Indiana |\n| Damjan Rudez | 18 | 8 | 0 | 1 | 3-6 | 50% | 2-4 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 3 | N/A | Indiana |\n| CJ Miles | 15 | 5 | 1 | 1 | 2-6 | 33% | 1-4 | 25% | 0-2 | 0% | 2 | 1 | 0 | 0 | 1 | 2 | N/A | Indiana |\n| Donald Sloan | 27 | 3 | 3 | 6 | 1-6 | 17% | 0-1 | 0% | 1-2 | 50% | 0 | 2 | 0 | 1 | 2 | 1 | G | Indiana |\n| David West | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Roy Hibbert | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Shayne Whittington | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |" + } + ] + }, + { + "id": "table_recognition_train_item_56540", + "image": "table_instructV/images/TabFact_2-1236025-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| year | start | qual | rank | finish | laps |\n| --- | --- | --- | --- | --- | --- |\n| 1951 | 31 | 132.226 | 26 | 4 | 200 |\n| 1952 | 2 | 137.002 | 4 | 33 | 20 |\n| 1953 | 5 | 136.060 | 19 | 33 | 3 |\n| 1954 | 23 | 137.820 | 28 | 25 | 165 |\n| 1955 | 8 | 139.098 | 22 | 6 | 200 |\n| 1956 | 9 | 143.056 | 11 | 27 | 90 |\n| 1957 | 12 | 143.244 | 5 | 5 | 200 |" + } + ] + }, + { + "id": "table_recognition_train_item_68482", + "image": "table_instructV/images/TabFact_2-11783574-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| player | car | yards | avg | td 's | long |\n| --- | --- | --- | --- | --- | --- |\n| kevin nagle | 48 | 155 | 3.2 | 4 | 20 |\n| marlin moye - moore | 44 | 69 | 1.6 | 15 | 16 |\n| shane stafford | 19 | 30 | 1.6 | 4 | 6 |\n| tt toliver | 6 | 26 | 4.3 | 0 | 13 |\n| javarus dudley | 16 | 20 | 1.3 | 4 | 5 |\n| ryan bowers | 2 | 9 | 4.5 | 0 | 5 |" + } + ] + }, + { + "id": "table_recognition_train_item_34043", + "image": "table_instructV/images/TABMWP_35434.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Number of drawers | Number of coats |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_33686", + "image": "table_instructV/images/TABMWP_31617.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of apartments | Number of windows |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_115367", + "image": "table_instructV/images/Rotowire_train_table_2026.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nets | Brooklyn | 98 | 29 | 28 | 16 | 25 | 24 | 32 | 16 | 51 | 74 | 50 | 12 | 34 | | | | |\n| Heat | Miami | 102 | 24 | 27 | 26 | 25 | 27 | 37 | 12 | 54 | 90 | 33 | 25 | 21 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Nets | | | | | | | | | | | | | | | | | | |\n| Andrea Bargnani | 24 | 20 | 1 | 1 | 9-12 | 75% | 0-0 | 0% | 2-3 | 67% | 0 | 0 | 1 | 0 | 1 | 1 | N/A | Brooklyn |\n| Joe Johnson | 37 | 15 | 4 | 8 | 5-8 | 63% | 2-4 | 50% | 3-3 | 100% | 0 | 5 | 0 | 0 | 4 | 0 | F | Brooklyn |\n| Brook Lopez | 31 | 13 | 10 | 1 | 5-9 | 56% | 0-0 | 0% | 3-4 | 75% | 0 | 3 | 1 | 1 | 9 | 2 | C | Brooklyn |\n| Thaddeus Young | 32 | 12 | 5 | 0 | 6-11 | 55% | 0-0 | 0% | 0-2 | 0% | 1 | 1 | 0 | 0 | 5 | 5 | F | Brooklyn |\n| Bojan Bogdanovic | 23 | 11 | 2 | 1 | 3-8 | 38% | 3-6 | 50% | 2-2 | 100% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Brooklyn |\n| Donald Sloan | 23 | 10 | 2 | 2 | 4-8 | 50% | 2-3 | 67% | 0-0 | 0% | 0 | 3 | 0 | 0 | 2 | 2 | G | Brooklyn |\n| Wayne Ellington | 30 | 8 | 1 | 2 | 2-7 | 29% | 2-4 | 50% | 2-2 | 100% | 2 | 0 | 0 | 0 | 1 | 2 | G | Brooklyn |\n| Shane Larkin | 25 | 7 | 3 | 6 | 1-5 | 20% | 0-1 | 0% | 5-5 | 100% | 2 | 3 | 0 | 0 | 3 | 1 | N/A | Brooklyn |\n| Willie Reed | 3 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Brooklyn |\n| Sergey Karasev | 6 | 0 | 1 | 3 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Brooklyn |\n| Thomas Robinson | 5 | 0 | 3 | 0 | 0-1 | 0% | 0-0 | 0% | 0-2 | 0% | 0 | 1 | 0 | 2 | 1 | 2 | N/A | Brooklyn |\n| Markel Brown | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Chris Bosh | 32 | 27 | 5 | 4 | 12-18 | 67% | 1-4 | 25% | 2-3 | 67% | 0 | 4 | 0 | 0 | 5 | 3 | F | Miami |\n| Dwyane Wade | 32 | 27 | 4 | 8 | 11-22 | 50% | 0-0 | 0% | 5-5 | 100% | 3 | 3 | 2 | 1 | 3 | 1 | G | Miami |\n| Justise Winslow | 37 | 13 | 7 | 2 | 6-7 | 86% | 1-1 | 100% | 0-0 | 0% | 2 | 1 | 0 | 1 | 6 | 4 | N/A | Miami |\n| Luol Deng | 31 | 10 | 2 | 4 | 4-10 | 40% | 0-2 | 0% | 2-2 | 100% | 2 | 1 | 1 | 1 | 1 | 1 | F | Miami |\n| Beno Udrih | 30 | 9 | 5 | 4 | 4-6 | 67% | 1-1 | 100% | 0-0 | 0% | 1 | 0 | 0 | 0 | 5 | 1 | G | Miami |\n| Gerald Green | 16 | 6 | 0 | 2 | 3-6 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 2 | N/A | Miami |\n| Amar'e Stoudemire | 22 | 4 | 7 | 1 | 2-7 | 29% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 1 | 6 | 1 | C | Miami |\n| Tyler Johnson | 18 | 4 | 2 | 2 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 2 | 4 | N/A | Miami |\n| Udonis Haslem | 22 | 2 | 5 | 0 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 4 | 3 | N/A | Miami |\n| Goran Dragic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Jarnell Stokes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Josh Richardson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |" + } + ] + }, + { + "id": "table_recognition_train_item_112591", + "image": "table_instructV/images/Rotowire_train_table_638.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nuggets | Denver | 117 | 31 | 28 | 27 | 31 | 24 | 41 | 10 | 52 | 80 | 46 | 5 | 7 | | | | |\n| Pelicans | New Orleans | 97 | 26 | 23 | 24 | 24 | 19 | 40 | 12 | 40 | 88 | 31 | 6 | 5 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Nuggets | | | | | | | | | | | | | | | | | | |\n| Kenneth Faried | 27 | 19 | 8 | 2 | 7-12 | 58% | 1-1 | 100% | 4-5 | 80% | 1 | 1 | 0 | 3 | 5 | 2 | F | Denver |\n| Arron Afflalo | 29 | 19 | 2 | 1 | 7-13 | 54% | 1-3 | 33% | 4-4 | 100% | 1 | 1 | 0 | 0 | 2 | 1 | G | Denver |\n| Wilson Chandler | 32 | 18 | 5 | 1 | 7-11 | 64% | 3-4 | 75% | 1-1 | 100% | 1 | 1 | 2 | 0 | 5 | 1 | F | Denver |\n| Danilo Gallinari | 23 | 17 | 3 | 3 | 5-7 | 71% | 3-4 | 75% | 4-4 | 100% | 1 | 0 | 1 | 0 | 3 | 3 | N/A | Denver |\n| JaVale McGee | 19 | 14 | 8 | 0 | 6-6 | 100% | 0-0 | 0% | 2-3 | 67% | 1 | 2 | 2 | 2 | 6 | 2 | N/A | Denver |\n| Ty Lawson | 28 | 11 | 3 | 9 | 5-12 | 42% | 1-2 | 50% | 0-2 | 0% | 2 | 2 | 0 | 0 | 3 | 0 | G | Denver |\n| Randy Foye | 21 | 7 | 3 | 4 | 1-5 | 20% | 1-5 | 20% | 4-4 | 100% | 1 | 1 | 0 | 0 | 3 | 1 | N/A | Denver |\n| Timofey Mozgov | 26 | 5 | 4 | 0 | 2-4 | 50% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 3 | 2 | 2 | 4 | C | Denver |\n| Nate Robinson | 20 | 3 | 3 | 4 | 1-6 | 17% | 1-4 | 25% | 0-0 | 0% | 0 | 1 | 1 | 1 | 2 | 4 | N/A | Denver |\n| Alonzo Gee | 4 | 2 | 0 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Denver |\n| Darrell Arthur | 9 | 2 | 1 | 0 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 4 | N/A | Denver |\n| Jusuf Nurkic | 4 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 1 | 2 | N/A | Denver |\n| JJ Hickson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Pelicans | | | | | | | | | | | | | | | | | | |\n| Anthony Davis | 32 | 18 | 9 | 2 | 7-17 | 41% | 0-1 | 0% | 4-4 | 100% | 1 | 4 | 2 | 1 | 8 | 3 | F | New Orleans |\n| Eric Gordon | 30 | 13 | 4 | 3 | 5-12 | 42% | 3-5 | 60% | 0-0 | 0% | 2 | 0 | 0 | 0 | 4 | 2 | G | New Orleans |\n| Alexis Ajinca | 21 | 12 | 8 | 1 | 3-4 | 75% | 0-0 | 0% | 6-6 | 100% | 0 | 1 | 0 | 3 | 5 | 1 | C | New Orleans |\n| Jrue Holiday | 29 | 12 | 3 | 6 | 4-8 | 50% | 1-2 | 50% | 3-3 | 100% | 0 | 0 | 1 | 1 | 2 | 3 | G | New Orleans |\n| Tyreke Evans | 32 | 10 | 2 | 2 | 5-10 | 50% | 0-2 | 0% | 0-0 | 0% | 1 | 3 | 0 | 0 | 2 | 2 | F | New Orleans |\n| Ryan Anderson | 27 | 10 | 3 | 0 | 2-11 | 18% | 0-5 | 0% | 6-7 | 86% | 1 | 1 | 0 | 0 | 3 | 3 | N/A | New Orleans |\n| Jeff Withey | 16 | 9 | 6 | 1 | 2-5 | 40% | 0-0 | 0% | 5-6 | 83% | 0 | 1 | 0 | 2 | 4 | 1 | N/A | New Orleans |\n| Austin Rivers | 21 | 8 | 1 | 2 | 1-6 | 17% | 0-0 | 0% | 6-8 | 75% | 1 | 1 | 0 | 0 | 1 | 2 | N/A | New Orleans |\n| John Salmons | 11 | 5 | 2 | 0 | 2-2 | 100% | 1-1 | 100% | 0-0 | 0% | 1 | 0 | 0 | 1 | 1 | 5 | N/A | New Orleans |\n| Luke Babbitt | 17 | 0 | 1 | 2 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | New Orleans |\n| Darius Miller | 4 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | New Orleans |\n| Omer Asik | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| Jimmer Fredette | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |" + } + ] + }, + { + "id": "table_recognition_train_item_33046", + "image": "table_instructV/images/TABMWP_25205.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| | In-line skates | Roller skates |\n| --- | --- | --- |\n| Age 8 | 4 | 5 |\n| Age 10 | 6 | 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_57016", + "image": "table_instructV/images/TabFact_2-145320-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| year | group | award | film | result |\n| --- | --- | --- | --- | --- |\n| 1976 | s césar award | best supporting actress | aloïse | nominated |\n| 1978 | césar awards | best actress | the lacemaker (la dentellière) | nominated |\n| 1979 | césar awards | best actress | violette nozière | nominated |\n| 1981 | césar awards | best actress | loulou | nominated |\n| 1982 | césar awards | best actress | coup de torchon | nominated |\n| 1989 | césar awards | best actress | story of women (une affaire de femmes) | nominated |\n| 1995 | césar awards | best actress | la séparation | nominated |\n| 1996 | césar awards | best actress | la cérémonie | won |\n| 1999 | césar awards | best actress | l'école de la chair | nominated |\n| 2001 | césar awards | best actress | saint - cyr | nominated |\n| 2002 | césar awards | best actress | the piano teacher (la pianiste) | nominated |\n| 2003 | césar awards | best actress | 8 women (8 femmes) | nominated |\n| 2006 | césar awards | best actress | gabrielle | nominated |\n| 2013 | césar awards | best supporting actress | amour | nominated |" + } + ] + }, + { + "id": "table_recognition_train_item_101834", + "image": "table_instructV/images/ToTTo_train_table_7796.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Player | Country | Year(s) won | R1 | R2 | R3 | R4 | Total | To par | Finish |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ben Hogan | United States | 1948 | 72 | 69 | 72 | 74 | 287 | +7 | 1 |\n| Lloyd Mangrum | United States | 1946 | 72 | 70 | 69 | 76 | 287 | +7 | 2 |\n| Cary Middlecoff | United States | 1949 | 71 | 71 | 71 | 79 | 292 | +12 | T10 |\n| Gene Sarazen | United States | 1922, 1932 | 72 | 72 | 82 | 76 | 302 | +22 | T38 |" + } + ] + }, + { + "id": "table_recognition_train_item_101662", + "image": "table_instructV/images/ToTTo_train_table_7048.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| 9 July 2011 | APIA | 0 – 3 | Rockdale | Lambert Park | |\n| --- | --- | --- | --- | --- | --- |\n| Saturday, 3:00pm EST | Naidovski 3' Spitz 43' Tirovski 87' | Report - Football NSW Article | | Referee: Kevin Peddie | |" + } + ] + }, + { + "id": "table_recognition_train_item_107020", + "image": "table_instructV/images/ToTTo_train_table_29489.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Song | Artist(s) | Writer(s) | Original release | Year | Ref. |\n| --- | --- | --- | --- | --- | --- |\n| \"3am\" | Meghan Trainor | Meghan Trainor Chris Gelbuda Ben Fagan Todd Carey Karen Thornton | Title | 2015 | |\n| \"After You\" | Meghan Trainor | Meghan Trainor Tyler Johnson Anders Mouridsen | The Love Train | 2019 | |\n| \"All About That Bass\" | Meghan Trainor | Meghan Trainor Kevin Kadish | Title | 2015 | |\n| \"All the Ways\" | Meghan Trainor | Meghan Trainor Andrew Wells Jacob Kasher Hindlin | The Love Train | 2018 | |\n| \"Baby, It's Cold Outside\" | Brett Eldredge featuring Meghan Trainor | Frank Loesser | Glow | 2016 | |\n| \"Back to My Home\" | Meghan Trainor featuring Matthew Migliozzi | Meghan Trainor Matthew Migliozzini | I'll Sing with You | 2011 | |\n| \"Bang Dem Sticks\" | Meghan Trainor | Meghan Trainor James G. Morales Matthew Morales Julio David Rodriguez | Title | 2015 | |\n| \"The Best Part (Interlude)\" | Meghan Trainor | Meghan Trainor | Title | 2015 | |\n| \"Better\" | Meghan Trainor featuring Yo Gotti | Meghan Trainor Eric Frederic Tommy Brown Steven Franks Mario Mims Taylor Parks Travis Sayles | Thank You | 2016 | |\n| \"Better When I'm Dancin'\" | Meghan Trainor | Meghan Trainor Thaddeus Dixon | The Peanuts Movie | 2015 | |\n| \"Boys Like You\" | Who Is Fancy featuring Meghan Trainor and Ariana Grande | Jake Hagood Jonathan Rotem Jason Gantt Bob DiPiero | Non-album single | 2015 | |\n| \"Brave Honest Beautiful\" | Fifth Harmony featuring Meghan Trainor | Meghan Trainor Beyoncé Knowles Kelendria Rowland Rob Fusari Falonte Moore Stephanie Lynn Nicks | Reflection | 2015 | |\n| \"Broken Puzzle\" | Meghan Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"Can't Dance\" | Meghan Trainor | Meghan Trainor Andrew Wells Jacob Kasher Hindlin | Non-album single | 2018 | |\n| \"Can't Help Falling in Love\" (cover) | Meghan Trainor | Hugo Peretti Luigi Creatore George David Weiss | Spotify Sessions | 2015 | |\n| \"Champagne Problems\" | Meghan Trainor | Meghan Trainor Tommy Brown Nick Audino Lewis Hughes Khaled Rohaim Michael Foster Ryan Matthew Tedder | Thank You | 2016 | |\n| \"Close Your Eyes\" | Meghan Trainor | Meghan Trainor Kevin Kadish | Title | 2015 | |\n| \"Credit\" | Meghan Trainor | Meghan Trainor Kevin Kadish | Title | 2015 | |\n| \"Cupid\" | Meghan Trainor featuring Gary Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"Dad\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Dance like Yo Daddy\" | Meghan Trainor | Meghan Trainor Eric Frederic Kevin Kadish | Thank You | 2016 | |\n| \"Dear Future Husband\" | Meghan Trainor | Meghan Trainor Kevin Kadish | Title | 2015 | |\n| \"Don't Fall Tonight\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Don't Let Me Down\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Don't Stop\" (cover) | Meghan Trainor | Steve Robson busbee Luke Hemmings Calum Hood | Spotify Sessions | 2015 | |\n| \"Falling\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Foolish\" | Meghan Trainor | Meghan Trainor Andrew Wells Gamal Lewis Jacob Kasher Hindlin | The Love Train | 2019 | |\n| \"Forgive Me Father\" | DJ Khaled featuring Meghan Trainor, Wiz Khalifa and Wale | DJ Khaled Travis Sayles Michael Foster Thomas Brown Meghan Trainor Wiz Khalifa Olubowale Akintimehin | Major Key | 2016 | |\n| \"Free to Fly\" | Meghan Trainor featuring Mike Viprino | Meghan Trainor | I'll Sing with You | 2011 | |\n| \"Friends\" | Meghan Trainor | Meghan Trainor Eric Frederic Tommy Brown Steven Franks Michael Foster Ryan Matthew Tedder Bianca Atterberry | Thank You | 2016 | |\n| \"Good Mornin'\" | Meghan Trainor featuring Gary Trainor | Meghan Trainor Andrew Wells Daryl Sabara | The Love Train | 2019 | |\n| \"Good to Be Alive\" | Meghan Trainor | Meghan Trainor Ryan Trainor | The Peanuts Movie | 2015 | |\n| \"Goosebumps\" | Meghan Trainor | Meghan Trainor Eric Frederic Gamal Lewis Eric Tobias Wincorn Joe Spargur Robert Riley Charles White Billy Ball | Thank You | 2016 | |\n| \"Hands\" | Among Artists for Orlando | Justin Tranter Julia Michaels BloodPop | Non-album single | 2016 | |\n| \"Hey DJ\" | CNCO, Meghan Trainor and Sean Paul | Meghan Trainor Sean Paul Henriques Édgar Barrera Chris Wallace Edgardo Miranda Matt Radosevich Sofi de la Torre | Non-album single | 2018 | |\n| \"Hey Mr.\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Hold on to the Ones You Love\" | Meghan Trainor | Meghan Trainor | I'll Sing with You | 2011 | |\n| \"Hopeless Romantic\" | Meghan Trainor | Meghan Trainor Johan Carlsson Ross Golan | Thank You | 2016 | |\n| \"I Love Me\" | Meghan Trainor featuring LunchMoney Lewis | Meghan Trainor Eric Frederic Jacob Kasher Hindlin Gamal Lewis Thomas Troelsen | Thank You | 2016 | |\n| \"I Won't Let You Down\" | Meghan Trainor | Meghan Trainor Eric Frederic Jacob Kasher Hindlin Gamal Lewis | Thank You | 2016 | |\n| \"I'll Be Home\" | Meghan Trainor | Meghan Trainor | I'll Be Home for Christmas | 2014 | |\n| \"I'll Sing with You\" | Meghan Trainor | Meghan Trainor | I'll Sing with You | 2011 | |\n| \"I'll Wake Up for You\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"I'm a Lady\" | Meghan Trainor | Meghan Trainor Martin René | Smurfs: The Lost Village | 2017 | |\n| \"I'm Down\" | Meghan Trainor | Meghan Trainor Andrew Wells Tyler Johnson Joshua Kear | The Love Train | 2019 | |\n| \"Just a Friend to You\" | Meghan Trainor | Meghan Trainor Eric Frederic Chris Gelbuda | Thank You | 2016 | |\n| \"Just Got Paid\" | Sigala, Ella Eyre and Meghan Trainor featuring French Montana | Bruce Fielder Ella McMahon Steve Manovski Karim Kharbouch Nile Rodgers Jason Pebworth | Brighter Days | 2018 | |\n| \"Kindly Calm Me Down\" | Meghan Trainor | Meghan Trainor Eric Frederic James G. Morales Matthew Morales Julio David Rodriguez | Thank You | 2016 | |\n| \"Learning to Say I Love You\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Leave a Kiss\" | Meghan Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"Let You Be Right\" | Meghan Trainor | Meghan Trainor Andrew Wells Jacob Kasher Hindlin | Non-album single | 2018 | |\n| \"Like I'm Gonna Lose You\" | Meghan Trainor featuring John Legend | Meghan Trainor Justin Weaver Caitlyn Smith | Title | 2015 | |\n| \"Lips Are Movin\" | Meghan Trainor | Meghan Trainor Kevin Kadish | Title | 2015 | |\n| \"Locked In Love\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Love Me More\" | Meghan Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"Love, Love, Love\" | Meghan Trainor | Meghan Trainor | I'll Sing with You | 2011 | |\n| \"Marry Me\" | Meghan Trainor | Meghan Trainor | The Love Train | 2019 | |\n| \"Marvin Gaye\" | Charlie Puth featuring Meghan Trainor | Charlie Puth Julie Frost Jacob Luttrell Nick Seeley | Some Type of Love and Nine Track Mind | 2015 | |\n| \"Me Too\" | Meghan Trainor | Meghan Trainor Eric Frederic Jacob Kasher Hindlin Jason Desrouleaux Peter Svensson | Thank You | 2016 | |\n| \"Mom\" | Meghan Trainor featuring Kelli Trainor | Meghan Trainor Johan Carlsson Ross Golan Justin Trainor | Thank You | 2016 | |\n| \"More than Friends\" | Jason Mraz featuring Meghan Trainor | Jason Mraz Meghan Trainor Jonathan Green Andrew Wells | Know. | 2018 | |\n| \"Mr. Almost\" | Meghan Trainor featuring Shy Carter | Meghan Trainor Jesse Frasure Shy Carter | Title | 2015 | |\n| \"My Selfish Heart\" | Meghan Trainor | Meghan Trainor | Title | 2015 | |\n| \"Never Ever\" | Meghan Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"No\" | Meghan Trainor | Meghan Trainor Eric Frederic Jacob Kasher Hindlin | Thank You | 2016 | |\n| \"No Excuses\" | Meghan Trainor | Meghan Trainor Andrew Wells Jacob Kasher Hindlin | Non-album single | 2018 | |\n| \"No Good for You\" | Meghan Trainor | Meghan Trainor Brett James | Title | 2015 | |\n| \"No Matter What You Do\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Normal\" (cover) | Meghan Trainor | Sasha Sloan | Spotify Singles | 2018 | |\n| \"One Chance\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Out the Door\" | Meghan Trainor | Meghan Trainor | I'll Sing with You | 2011 | |\n| \"Overdrive\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Painkiller\" | Jason Derulo featuring Meghan Trainor | Jason Desrouleaux Johan Carlsson Ross Golan Meghan Trainor | Everything is 4 | 2015 | |\n| \"Pick Me Up\" | Meghan Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"Quite the Adventure\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Remember\" | Meghan Trainor | Meghan Trainor | I'll Sing with You | 2011 | |\n| \"See You Smile\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Shoowap Shoowah\" | Meghan Trainor featuring Gary Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"Simple Love\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Single\" | Meghan Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"Someday\" | Michael Bublé featuring Meghan Trainor | Meghan Trainor Harry Styles | Nobody but Me | 2016 | |\n| \"Something to Believe In\" | Meghan Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"Stay with Me\" (cover) | Meghan Trainor | Sam Smith James Napier William Phillips Tom Petty Jeff Lynne | Spotify Sessions | 2015 | |\n| \"Sweet, Sweetie Pie\" | Meghan Trainor | Meghan Trainor | I'll Sing with You | 2011 | |\n| \"Take Care of Our Soldiers\" | Meghan Trainor | Meghan Trainor | I'll Sing with You | 2010 | |\n| \"Take These Tears\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Thank You\" | Meghan Trainor featuring R. City | Meghan Trainor Stefan Johnson Jordan Johnson Marcus Lomax Theron Thomas Timothy Thomas Oliver Peterhof Jordan Federman | Thank You | 2016 | |\n| \"This Love\" | Meghan Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"Throwback Love\" | Meghan Trainor | Meghan Trainor Kevin Kadish | Thank You | 2016 | |\n| \"Title\" | Meghan Trainor | Meghan Trainor Kevin Kadish | Title | 2015 | |\n| \"Treat Myself\" | Meghan Trainor | Meghan Trainor Andrew Wells Tobias Jesso Jr. Ryan Trainor | Non-album single | 2018 | |\n| \"Tumble\" | Meghan Trainor featuring Gary Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"Walkashame\" | Meghan Trainor | Meghan Trainor Kevin Kadish | Title | 2015 | |\n| \"Want Me to Stay\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Watch Me Do\" | Meghan Trainor | Meghan Trainor Eric Frederic Jacob Kasher Hindlin Gamal Lewis | Thank You | 2016 | |\n| \"Waterfalls\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"What If I\" | Meghan Trainor | Meghan Trainor Kevin Kadish | Title | 2015 | |\n| \"When Did You Fall?\" | Meghan Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"Whisper\" | Meghan Trainor | Meghan Trainor | I'll Sing with You | 2011 | |\n| \"White Christmas\" (cover) | Meghan Trainor | Irving Berlin | Non-album single | 2018 | |\n| \"Who I Wanna Be\" | Meghan Trainor | Meghan Trainor Jesse Frasure Cedric Lindsey James Small | Non-album single | 2012 | |\n| \"Why'd You Have to Go?\" | Meghan Trainor | Meghan Trainor | I'll Sing with You | 2011 | |\n| \"Window\" | Meghan Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"Woman Up\" | Meghan Trainor | Meghan Trainor Eric Frederic James G. Morales Matthew Morales Julio David Rodriguez Taylor Parks Nash Overstreet Erika Nuri Shane Stevens | Thank You | 2016 | |\n| \"You Got the Best of Me\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |" + } + ] + }, + { + "id": "table_recognition_train_item_31944", + "image": "table_instructV/images/TABMWP_12724.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Number of shelves | Number of boxes |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_67902", + "image": "table_instructV/images/TabFact_1-11603267-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| date | tournament | location | purse | winner | score | 1st prize |\n| --- | --- | --- | --- | --- | --- | --- |\n| jan 21 | mastercard championship | hawaii | 1400000 | larry nelson (12) | 197 ( - 19) | 240000 |\n| feb 4 | royal caribbean classic | florida | 1400000 | larry nelson (13) | 29 ( stableford ) | 210000 |\n| feb 11 | ace group classic | florida | 1400000 | gil morgan (19) | 204 ( - 12) | 210000 |\n| feb 18 | verizon classic | florida | 1400000 | bob gilder (1) | 205 ( - 8) | 210000 |\n| feb 25 | mexico senior classic | mexico | 1500000 | mike mccullough (1) | 204 ( - 12) | 225000 |\n| mar 4 | toshiba senior classic | california | 1400000 | josé maria cañizares (1) | 202 ( - 11) | 210000 |\n| mar 11 | sbc senior classic | california | 1400000 | jim colbert (20) | 204 ( - 12) | 210000 |\n| mar 18 | siebel classic in silicon valley | california | 1400000 | hale irwin (30) | 206 ( - 10) | 210000 |\n| mar 25 | emerald coast classic | florida | 1400000 | mike mccullough (2) | 200 ( - 10) | 210000 |\n| apr 15 | the countrywide tradition | arizona | 1700000 | doug tewell (4) | 265 ( - 23) | 255000 |\n| apr 22 | las vegas senior classic | nevada | 1400000 | bruce fleisher (12) | 208 ( - 8) | 210000 |\n| apr 29 | bruno 's memorial classic | alabama | 1400000 | hale irwin (31) | 195 ( - 21) | 210000 |\n| may 6 | the home depot invitational | north carolina | 1300000 | bruce fleisher (13) | 201 ( - 15) | 195000 |\n| may 13 | enterprise rent - a - car match play championship | missouri | 2000000 | leonard thompson (3) | 1 up | 300000 |\n| may 20 | td waterhouse championship | missouri | 1500000 | ed dougherty (2) | 194 ( - 22) | 225000 |\n| may 27 | senior pga championship | new jersey | 2000000 | tom watson (3) | 274 ( - 14) | 360000 |\n| jun 3 | bellsouth senior classic at opryland | tennessee | 1600000 | sammy rachels (1) | 199 ( - 17) | 240000 |\n| jun 10 | nfl golf classic | new jersey | 1200000 | john schroeder (1) | 207 ( - 9) | 180000 |\n| jun 17 | the instinet classic | new jersey | 1500000 | gil morgan (20) | 201 ( - 15) | 225000 |\n| jun 24 | fleetboston classic | massachusetts | 1400000 | larry nelson (14) | 201 ( - 15) | 210000 |\n| jul 1 | us senior open | massachusetts | 2400000 | bruce fleisher (14) | 280 (e) | 430000 |\n| jul 8 | farmers charity classic | michigan | 1400000 | larry nelson (15) | 202 ( - 14) | 210000 |\n| jul 15 | ford senior players championship | michigan | 2400000 | allen doyle (6) | 273 ( - 15) | 375000 |\n| jul 22 | sbc senior open | illinois | 1400000 | dana quigley (5) | 200 ( - 16) | 210000 |\n| jul 29 | state farm senior classic | maryland | 1450000 | allen doyle (7) | 205 ( - 11) | 217500 |\n| aug 5 | lightpath long island classic | new york | 1700000 | bobby wadkins (1) | 202 ( - 14) | 255000 |\n| aug 12 | 3 m championship | minnesota | 1750000 | bruce lietzke (1) | 207 ( - 9) | 262500 |\n| aug 19 | novell utah showdown | utah | 1500000 | steve veriato (1) | 204 ( - 12) | 225000 |\n| aug 26 | at&t canada senior open championship | canada | 1600000 | walter hall (1) | 199 ( - 15) | 240000 |\n| sep 2 | kroger senior classic | ohio | 1500000 | jim thorpe (3) | 130 ( - 10) | 220000 |\n| sep 9 | allianz championship | iowa | 1750000 | jim thorpe (4) | 199 ( - 14) | 262500 |\n| sep 23 | sas championship | north carolina | 1600000 | bruce lietzke (2) | 201 ( - 15) | 240000 |\n| sep 30 | gold rush classic | california | 1300000 | tom kite (3) | 194 ( - 22) | 195000 |\n| oct 7 | turtle bay championship | hawaii | 1500000 | hale irwin (32) | 205 ( - 11) | 225000 |\n| oct 14 | the transamerica | california | 1300000 | sammy rachels (2) | 202 ( - 14) | 195000 |\n| oct 21 | sbc championship | texas | 1400000 | larry nelson (16) | 199 ( - 17) | 210000 |" + } + ] + }, + { + "id": "table_recognition_train_item_118059", + "image": "table_instructV/images/Rotowire_train_table_3372.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nuggets | Denver | 99 | 28 | 20 | 26 | 25 | 20 | 48 | 12 | 42 | 73 | 29 | 18 | 25 | | | | |\n| Celtics | Boston | 100 | 20 | 22 | 33 | 25 | 20 | 41 | 14 | 49 | 63 | 43 | 15 | 26 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Nuggets | | | | | | | | | | | | | | | | | | |\n| Jameer Nelson | 42 | 23 | 0 | 7 | 9-20 | 45% | 4-7 | 57% | 1-2 | 50% | 1 | 4 | 0 | 0 | 0 | 2 | G | Denver |\n| Arron Afflalo | 39 | 20 | 4 | 4 | 6-13 | 46% | 1-4 | 25% | 7-7 | 100% | 0 | 1 | 0 | 1 | 3 | 3 | G | Denver |\n| JJ Hickson | 29 | 15 | 14 | 3 | 6-8 | 75% | 0-0 | 0% | 3-6 | 50% | 2 | 1 | 0 | 6 | 8 | 1 | N/A | Denver |\n| Wilson Chandler | 36 | 14 | 6 | 2 | 5-15 | 33% | 1-5 | 20% | 3-4 | 75% | 3 | 0 | 1 | 2 | 4 | 1 | F | Denver |\n| Kenneth Faried | 38 | 11 | 14 | 3 | 4-12 | 33% | 0-0 | 0% | 3-5 | 60% | 0 | 1 | 1 | 4 | 10 | 4 | F | Denver |\n| Darrell Arthur | 13 | 6 | 2 | 0 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 0 | 2 | 4 | N/A | Denver |\n| Jusuf Nurkic | 15 | 6 | 8 | 0 | 3-7 | 43% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 4 | 4 | 3 | C | Denver |\n| Danilo Gallinari | 17 | 4 | 0 | 0 | 1-7 | 14% | 0-3 | 0% | 2-2 | 100% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Denver |\n| Randy Foye | 11 | 0 | 0 | 1 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 1 | N/A | Denver |\n| Ty Lawson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| JaVale McGee | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Alonzo Gee | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Gary Harris | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Avery Bradley | 30 | 18 | 6 | 1 | 7-11 | 64% | 4-5 | 80% | 0-0 | 0% | 0 | 4 | 0 | 0 | 6 | 3 | G | Boston |\n| Brandon Bass | 35 | 17 | 9 | 5 | 5-12 | 42% | 0-0 | 0% | 7-8 | 88% | 3 | 0 | 1 | 2 | 7 | 3 | C | Boston |\n| Jared Sullinger | 29 | 14 | 8 | 2 | 5-13 | 39% | 0-4 | 0% | 4-8 | 50% | 2 | 3 | 0 | 3 | 5 | 5 | F | Boston |\n| Tyler Zeller | 23 | 11 | 6 | 0 | 5-10 | 50% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 1 | 5 | 1 | N/A | Boston |\n| Evan Turner | 28 | 10 | 2 | 6 | 5-8 | 63% | 0-2 | 0% | 0-2 | 0% | 1 | 1 | 2 | 0 | 2 | 3 | G | Boston |\n| Jae Crowder | 22 | 9 | 5 | 0 | 3-3 | 100% | 2-2 | 100% | 1-1 | 100% | 0 | 0 | 1 | 1 | 4 | 0 | F | Boston |\n| Marcus Thornton | 18 | 7 | 2 | 0 | 3-7 | 43% | 1-2 | 50% | 0-0 | 0% | 1 | 0 | 0 | 0 | 2 | 2 | N/A | Boston |\n| Phil Pressey | 16 | 6 | 1 | 3 | 1-4 | 25% | 1-3 | 33% | 3-4 | 75% | 0 | 2 | 0 | 0 | 1 | 1 | N/A | Boston |\n| Marcus Smart | 14 | 4 | 0 | 3 | 1-2 | 50% | 1-2 | 50% | 1-2 | 50% | 0 | 1 | 0 | 0 | 0 | 5 | N/A | Boston |\n| Tayshaun Prince | 17 | 4 | 2 | 0 | 2-5 | 40% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 2 | 1 | 1 | 1 | N/A | Boston |\n| Gerald Wallace | 8 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Boston |\n| Shavlik Randolph | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| James Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |" + } + ] + }, + { + "id": "table_recognition_train_item_69236", + "image": "table_instructV/images/TabFact_2-16585512-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| name | country | total | 60 mh | 800 m |\n| --- | --- | --- | --- | --- |\n| tia hellebaut | belgium | 4867 wl | 1008 | 873 |\n| kelly sotherton | united kingdom | 4852 sb | 1073 | 965 |\n| anna bogdanova | russia | 4753 | 1041 | 883 |\n| nataliya dobrynska | ukraine | 4742 | 989 | 883 |\n| austra skujytė | lithuania | 4655 sb | 944 | 807 |\n| karolina tymińska | poland | 4580 | 984 | 985 |\n| tatyana chernova | russia | 4543 | 987 | 893 |\n| lyudmila blonska | ukraine | 4474 | 1002 | 771 |" + } + ] + }, + { + "id": "table_recognition_train_item_34385", + "image": "table_instructV/images/TABMWP_1254.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $240 | 12,600 | 10,200 |\n| $310 | 11,100 | 12,800 |\n| $380 | 9,600 | 15,400 |\n| $450 | 8,100 | 18,000 |\n| $520 | 6,600 | 20,600 |" + } + ] + }, + { + "id": "table_recognition_train_item_34407", + "image": "table_instructV/images/TABMWP_1980.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 18 | 12 |\n| 10 | 4 |\n| 18 | 13 |" + } + ] + }, + { + "id": "table_recognition_train_item_63748", + "image": "table_instructV/images/TabFact_2-11881103-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| year | tournament | venue | result | event |\n| --- | --- | --- | --- | --- |\n| 1966 | european championships | budapest , hungary | 6th | 110 m hurdles |\n| 1967 | mediterranean games | tunis , tunisia | 2nd | 110 m hurdles |\n| 1970 | universiade | turin , italy | 3rd | 110 m hurdles |\n| 1971 | european indoor championships | sofia , bulgaria | 3rd | 60 m hurdles |\n| 1971 | european championships | helsinki , finland | 6th | 110 m hurdles |\n| 1971 | mediterranean games | izmir , turkey | 2nd | 110 m hurdles |" + } + ] + }, + { + "id": "table_recognition_train_item_116609", + "image": "table_instructV/images/Rotowire_train_table_2647.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Raptors | Toronto | 112 | 27 | 35 | 21 | 29 | 19 | 44 | 15 | 49 | 69 | 55 | 29 | 15 | | | | |\n| Clippers | LA | 94 | 34 | 15 | 22 | 23 | 21 | 34 | 13 | 45 | 60 | 31 | 28 | 16 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| Kyle Lowry | 36 | 21 | 4 | 6 | 7-14 | 50% | 3-6 | 50% | 4-5 | 80% | 0 | 3 | 0 | 1 | 3 | 3 | G | Toronto |\n| Jonas Valanciunas | 25 | 20 | 8 | 0 | 8-11 | 73% | 0-0 | 0% | 4-6 | 67% | 0 | 1 | 1 | 1 | 7 | 5 | C | Toronto |\n| DeMar DeRozan | 33 | 18 | 5 | 2 | 6-17 | 35% | 2-2 | 100% | 4-4 | 100% | 0 | 1 | 0 | 1 | 4 | 2 | G | Toronto |\n| Terrence Ross | 33 | 18 | 4 | 2 | 6-10 | 60% | 5-7 | 71% | 1-2 | 50% | 4 | 2 | 0 | 1 | 3 | 4 | N/A | Toronto |\n| Cory Joseph | 23 | 12 | 2 | 3 | 5-8 | 63% | 0-0 | 0% | 2-2 | 100% | 2 | 2 | 0 | 0 | 2 | 1 | N/A | Toronto |\n| Bismack Biyombo | 23 | 10 | 9 | 0 | 4-6 | 67% | 0-0 | 0% | 2-3 | 67% | 0 | 2 | 0 | 3 | 6 | 1 | N/A | Toronto |\n| Patrick Patterson | 27 | 10 | 6 | 3 | 4-8 | 50% | 2-5 | 40% | 0-0 | 0% | 1 | 0 | 1 | 1 | 5 | 3 | N/A | Toronto |\n| James Johnson | 15 | 2 | 1 | 2 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 4 | F | Toronto |\n| Delon Wright | 4 | 1 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 1-4 | 25% | 0 | 2 | 0 | 0 | 0 | 1 | N/A | Toronto |\n| Anthony Bennett | 3 | 0 | 0 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Toronto |\n| Luis Scola | 18 | 0 | 5 | 1 | 0-4 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 1 | 0 | 5 | 2 | F | Toronto |\n| DeMarre Carroll | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Clippers | | | | | | | | | | | | | | | | | | |\n| Chris Paul | 31 | 23 | 4 | 11 | 9-17 | 53% | 3-7 | 43% | 2-3 | 67% | 2 | 4 | 1 | 1 | 3 | 4 | G | LA |\n| JJ Redick | 28 | 17 | 2 | 2 | 5-10 | 50% | 2-5 | 40% | 5-7 | 71% | 0 | 0 | 0 | 0 | 2 | 2 | G | LA |\n| DeAndre Jordan | 32 | 15 | 13 | 0 | 6-9 | 67% | 0-0 | 0% | 3-9 | 33% | 0 | 0 | 0 | 4 | 9 | 3 | C | LA |\n| Austin Rivers | 19 | 8 | 0 | 1 | 4-8 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 3 | 0 | 0 | 0 | 4 | N/A | LA |\n| Lance Stephenson | 8 | 8 | 2 | 0 | 4-4 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | LA |\n| Luc Mbah a Moute | 29 | 6 | 1 | 0 | 1-5 | 20% | 0-1 | 0% | 4-6 | 67% | 1 | 0 | 1 | 1 | 0 | 3 | F | LA |\n| Wesley Johnson | 28 | 6 | 4 | 1 | 2-7 | 29% | 2-7 | 29% | 0-0 | 0% | 1 | 0 | 0 | 1 | 3 | 3 | N/A | LA |\n| Paul Pierce | 16 | 4 | 5 | 3 | 1-5 | 20% | 1-3 | 33% | 1-2 | 50% | 0 | 0 | 0 | 0 | 5 | 3 | F | LA |\n| Jamal Crawford | 19 | 3 | 0 | 0 | 1-6 | 17% | 0-1 | 0% | 1-1 | 100% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | LA |\n| Cole Aldrich | 11 | 2 | 1 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 0 | 1 | 3 | N/A | LA |\n| Jeff Ayres | 5 | 2 | 1 | 1 | 0-0 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | LA |\n| Pablo Prigioni | 8 | 0 | 0 | 1 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 2 | 3 | 0 | 0 | 0 | 1 | N/A | LA |\n| CJ Wilcox | 5 | 0 | 1 | 1 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | LA |" + } + ] + }, + { + "id": "table_recognition_train_item_51986", + "image": "table_instructV/images/TabFact_2-1053247-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| date | sport | winner | score | loser |\n| --- | --- | --- | --- | --- |\n| 1992 | football | england b | 3 - 0 | france b |\n| 1998 | football | england b | 4 - 1 | russia - 2 |\n| 2002 | football | nigeria | 1 - 0 | jamaica |\n| 2004 | rugby league | australia | 32 - 16 | new zealand |\n| 2005 | rugby league | new zealand | 42 - 26 | great britain |\n| 2006 | football | australia | 1 - 1 | ghana |\n| 2006 | football | trinidad and tobago | 2 - 0 | iceland |\n| 2007 | football | denmark | 3 - 1 | australia |\n| 2008 | football | australia | 2 - 2 | south africa |\n| 2010 | football | south korea | 2 - 0 | côte d'ivoire |" + } + ] + }, + { + "id": "table_recognition_train_item_57352", + "image": "table_instructV/images/TabFact_2-13081314-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| place | player | country | score | to par | money |\n| --- | --- | --- | --- | --- | --- |\n| t1 | sam snead | united states | 74 + 73 + 70 + 72 = 289 | + 1 | playoff |\n| t1 | ben hogan | united states | 72 + 73 + 69 + 75 = 289 | + 1 | playoff |\n| 3 | billy joe patton (a) | united states | 70 + 74 + 75 + 71 = 290 | + 2 | 0 |\n| t4 | ej dutch harrison | united states | 70 + 79 + 74 + 68 = 291 | + 3 | 1937 |\n| t4 | lloyd mangrum | united states | 71 + 75 + 76 + 69 = 291 | + 3 | 1937 |\n| t6 | jerry barber | united states | 74 + 76 + 71 + 71 = 292 | + 4 | 1041 |\n| t6 | jack burke , jr | united states | 71 + 77 + 73 + 71 = 292 | + 4 | 1041 |\n| t6 | bob rosburg | united states | 73 + 73 + 76 + 70 = 292 | + 4 | 1041 |\n| t9 | al besselink | united states | 74 + 74 + 74 + 72 = 294 | + 6 | 781 |\n| t9 | cary middlecoff | united states | 73 + 76 + 70 + 75 = 294 | + 6 | 781 |" + } + ] + }, + { + "id": "table_recognition_train_item_33680", + "image": "table_instructV/images/TABMWP_31564.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $510 | 14,900 | 1,000 |\n| $560 | 12,200 | 5,700 |\n| $610 | 9,500 | 10,400 |\n| $660 | 6,800 | 15,100 |\n| $710 | 4,100 | 19,800 |" + } + ] + }, + { + "id": "table_recognition_train_item_52200", + "image": "table_instructV/images/TabFact_1-27721131-10.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 60 | march 2 | golden state | l 102 - 106 (ot) | nick young (31) | trevor booker (11) | andray blatche , john wall (6) | verizon center 17865 | 15 - 45 |\n| 61 | march 5 | minnesota | w 103 - 96 (ot) | andray blatche (20) | john wall (11) | john wall (8) | verizon center 18216 | 16 - 45 |\n| 62 | march 6 | detroit | l 102 - 113 (ot) | john wall (24) | andray blatche (9) | john wall (7) | the palace of auburn hills 17506 | 16 - 46 |\n| 63 | march 8 | milwaukee | l 76 - 95 (ot) | jordan crawford (22) | javale mcgee (13) | john wall (7) | verizon center 16190 | 16 - 47 |\n| 64 | march 12 | la clippers | l 101 - 122 (ot) | john wall (25) | javale mcgee (8) | john wall (8) | verizon center 20278 | 16 - 48 |\n| 65 | march 14 | oklahoma city | l 89 - 116 (ot) | trevor booker , javale mcgee , john wall (14) | trevor booker (13) | jordan crawford , john wall (5) | verizon center 17921 | 16 - 49 |\n| 66 | march 15 | chicago | l 79 - 98 (ot) | jordan crawford (27) | javale mcgee (12) | john wall (7) | united center 22103 | 16 - 50 |\n| 67 | march 18 | toronto | l 107 - 116 (ot) | trevor booker (26) | trevor booker (13) | john wall (7) | air canada centre 18017 | 16 - 51 |\n| 68 | march 20 | new jersey | w 98 - 92 (ot) | john wall (26) | trevor booker (8) | john wall (8) | verizon center 17761 | 17 - 51 |\n| 69 | march 22 | portland | l 76 - 111 (ot) | jordan crawford (12) | javale mcgee (7) | john wall (7) | rose garden 20624 | 17 - 52 |\n| 70 | march 23 | la clippers | l 119 - 127 (2ot) | john wall (32) | javale mcgee (13) | jordan crawford , john wall (10) | staples center 19060 | 17 - 53 |\n| 71 | march 25 | denver | l 94 - 114 (ot) | jordan crawford (19) | javale mcgee (13) | john wall (6) | pepsi center 19308 | 17 - 54 |\n| 72 | march 27 | golden state | l 104 - 114 (ot) | javale mcgee (28) | javale mcgee (18) | john wall (12) | oracle arena 17723 | 17 - 55 |\n| 73 | march 28 | utah | w 100 - 95 (ot) | john wall (28) | javale mcgee (17) | john wall (7) | energysolutions arena 19724 | 18 - 55 |" + } + ] + }, + { + "id": "table_recognition_train_item_56824", + "image": "table_instructV/images/TabFact_1-16048129-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| region of ussr | number of families | number of people | average family size | % of total deportees |\n| --- | --- | --- | --- | --- |\n| amur oblast | 2028 | 5451 | 2.7 | 5.8 |\n| irkutsk oblast | 8475 | 25834 | 3.0 | 27.3 |\n| krasnoyarsk krai | 3671 | 13823 | 3.8 | 14.6 |\n| novosibirsk oblast | 3152 | 10064 | 3.2 | 10.6 |\n| omsk oblast | 7944 | 22542 | 2.8 | 23.8 |\n| tomsk oblast | 5360 | 16065 | 3.0 | 16.9 |" + } + ] + }, + { + "id": "table_recognition_train_item_32638", + "image": "table_instructV/images/TABMWP_20223.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Gem color | Change in points |\n| --- | --- |\n| Green | 25 |\n| Red | -40 |" + } + ] + }, + { + "id": "table_recognition_train_item_117417", + "image": "table_instructV/images/Rotowire_train_table_3051.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Heat | Miami | 101 | 30 | 32 | 15 | 24 | 27 | 43 | 11 | 48 | 82 | 33 | 14 | 16 | | | | |\n| Cavaliers | Cleveland | 91 | 27 | 22 | 25 | 17 | 16 | 37 | 15 | 44 | 64 | 23 | 17 | 11 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Dwyane Wade | 37 | 31 | 5 | 5 | 12-28 | 43% | 2-5 | 40% | 5-5 | 100% | 2 | 1 | 1 | 1 | 4 | 0 | G | Miami |\n| Luol Deng | 40 | 25 | 8 | 8 | 11-16 | 69% | 1-3 | 33% | 2-2 | 100% | 0 | 2 | 0 | 3 | 5 | 4 | F | Miami |\n| Chris Andersen | 29 | 12 | 8 | 1 | 4-5 | 80% | 0-0 | 0% | 4-6 | 67% | 2 | 0 | 1 | 2 | 6 | 5 | C | Miami |\n| Danny Granger | 22 | 9 | 7 | 1 | 4-5 | 80% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 7 | 4 | N/A | Miami |\n| Norris Cole | 34 | 8 | 2 | 5 | 2-7 | 29% | 1-2 | 50% | 3-4 | 75% | 1 | 4 | 0 | 1 | 1 | 3 | N/A | Miami |\n| Udonis Haslem | 13 | 6 | 4 | 0 | 3-4 | 75% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 1 | 3 | 3 | N/A | Miami |\n| Shawne Williams | 26 | 5 | 5 | 1 | 2-6 | 33% | 1-5 | 20% | 0-0 | 0% | 1 | 0 | 0 | 2 | 3 | 2 | F | Miami |\n| Mario Chalmers | 31 | 5 | 1 | 6 | 2-12 | 17% | 1-4 | 25% | 0-0 | 0% | 1 | 2 | 0 | 1 | 0 | 3 | G | Miami |\n| Hassan Whiteside | 8 | 0 | 3 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 1 | 2 | 2 | N/A | Miami |\n| Justin Hamilton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Shabazz Napier | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Andre Dawkins | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| James Ennis III | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Cavaliers | | | | | | | | | | | | | | | | | | |\n| LeBron James | 40 | 30 | 4 | 8 | 9-16 | 56% | 2-8 | 25% | 10-18 | 56% | 0 | 4 | 0 | 0 | 4 | 1 | F | Cleveland |\n| Kyrie Irving | 42 | 25 | 4 | 3 | 10-19 | 53% | 1-3 | 33% | 4-5 | 80% | 1 | 2 | 0 | 0 | 4 | 3 | G | Cleveland |\n| Kevin Love | 39 | 14 | 5 | 3 | 5-13 | 39% | 0-4 | 0% | 4-4 | 100% | 1 | 2 | 1 | 1 | 4 | 0 | C | Cleveland |\n| Dion Waiters | 28 | 8 | 6 | 2 | 3-8 | 38% | 1-4 | 25% | 1-2 | 50% | 3 | 3 | 2 | 1 | 5 | 1 | N/A | Cleveland |\n| Mike Miller | 26 | 6 | 0 | 0 | 2-4 | 50% | 2-4 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 4 | G | Cleveland |\n| Tristan Thompson | 26 | 6 | 9 | 0 | 2-5 | 40% | 0-0 | 0% | 2-4 | 50% | 1 | 1 | 1 | 4 | 5 | 2 | N/A | Cleveland |\n| Shawn Marion | 19 | 2 | 5 | 0 | 1-5 | 20% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 0 | 3 | 2 | 2 | F | Cleveland |\n| Matthew Dellavedova | 15 | 0 | 3 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 2 | 1 | 2 | N/A | Cleveland |\n| James Jones | 4 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Cleveland |\n| Lou Amundson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Brendan Haywood | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Joe Harris | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Alex Kirk | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |" + } + ] + }, + { + "id": "table_recognition_train_item_62496", + "image": "table_instructV/images/TabFact_2-13312898-19.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| round | pick | overall | name | position | college |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 22 | 22 | don mccauley | running back | north carolina |\n| 1 | 26 | 26 | leonard dunlap | defensive back | north texas state |\n| 2 | 26 | 52 | bill atessis | defensive end | texas |\n| 3 | 26 | 78 | karl douglas | quarterback | texas a&i |\n| 5 | 26 | 130 | john andrews | tight end | indiana |\n| 6 | 26 | 156 | ken frith | defensive tackle | northeast louisiana |\n| 7 | 26 | 182 | gordon bowdell | wide receiver | michigan state |\n| 8 | 25 | 207 | willie bogan | defensive back | dartmouth |\n| 9 | 26 | 234 | bill burnett | running back | arkansas |\n| 10 | 26 | 260 | rex kern | quarterback | ohio state |\n| 11 | 26 | 286 | dave jones | linebacker | baylor |\n| 12 | 8 | 294 | bob wuensch | offensive tackle | texas |\n| 12 | 26 | 312 | bill triplett | wide receiver | michigan state |\n| 13 | 26 | 338 | tom neville | linebacker | yale |\n| 14 | 26 | 364 | mike mikolayunas | running back | davidson |\n| 15 | 26 | 390 | mike hogan | linebacker | michigan state |\n| 16 | 26 | 416 | rich harrington | defensive back | houston |\n| 17 | 25 | 441 | don nottingham | running back | kent state |" + } + ] + }, + { + "id": "table_recognition_train_item_33748", + "image": "table_instructV/images/TABMWP_32249.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Number of laundry hampers | Number of sweaters |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_104359", + "image": "table_instructV/images/ToTTo_train_table_18325.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| No. | Event | Time | Meet | Date |\n| --- | --- | --- | --- | --- |\n| 1 | 50 yd freestyle | 18.39 (h) | 2016 SEC Swimming & Diving Championships | February 17, 2016 |\n| 2 | 50 yd freestyle (2) | 18.23 | 2016 SEC Swimming & Diving Championships | February 17, 2016 |\n| 3 | 50 yd freestyle (3) | 18.20 | 2016 NCAA Championships | March 24, 2016 |\n| 4 | 100 yd freestyle | 40.46 | 2016 NCAA Championships | March 26, 2016 |\n| 5 | 100 yd freestyle (2) | 40.00 | 2017 NCAA Championships | March 25, 2017 |\n| 6 | 100 yd butterfly | 43.58 | 2017 NCAA Championships | March 25, 2017 |\n| 7 | 200 yd individual medley | 1:38.13 | 2018 SEC Swimming & Diving Championships | February 15, 2018 |\n| 8 | 100 yd breaststroke | 50.03 | 2018 SEC Swimming & Diving Championships | February 17, 2018 |\n| 9 | 50 yd freestyle (4) | 18.11 (h) | 2018 NCAA Championships | March 22, 2018 |\n| 10 | 50 yd freestyle (5) | 17.81 (r) | 2018 NCAA Championships | March 22, 2018 |\n| 11 | 50 yd freestyle (6) | 17.63 | 2018 NCAA Championships | March 22, 2018 |\n| 12 | 100 yd butterfly (2) | 42.80 | 2018 NCAA Championships | March 23, 2018 |\n| 13 | 100 yd freestyle (3) | 39.90 | 2018 NCAA Championships | March 24, 2018 |" + } + ] + }, + { + "id": "table_recognition_train_item_115999", + "image": "table_instructV/images/Rotowire_train_table_2342.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Suns | Phoenix | 110 | 27 | 28 | 28 | 27 | 17 | 55 | 19 | 45 | 76 | 22 | 1 | 1 | | | | |\n| Trail Blazers | Portland | 92 | 23 | 26 | 20 | 23 | 17 | 42 | 23 | 40 | 79 | 38 | 1 | 1 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Suns | | | | | | | | | | | | | | | | | | |\n| Eric Bledsoe | 33 | 22 | 2 | 3 | 6-14 | 43% | 0-2 | 0% | 10-11 | 91% | 2 | 3 | 1 | 0 | 2 | 0 | G | Phoenix |\n| Brandon Knight | 33 | 18 | 4 | 4 | 7-14 | 50% | 2-5 | 40% | 2-2 | 100% | 3 | 2 | 0 | 1 | 3 | 3 | G | Phoenix |\n| TJ Warren | 22 | 17 | 6 | 1 | 7-10 | 70% | 1-2 | 50% | 2-4 | 50% | 0 | 1 | 0 | 1 | 5 | 2 | N/A | Phoenix |\n| Tyson Chandler | 26 | 15 | 13 | 1 | 3-7 | 43% | 0-0 | 0% | 9-12 | 75% | 1 | 1 | 1 | 5 | 8 | 2 | C | Phoenix |\n| Markieff Morris | 34 | 13 | 8 | 2 | 6-17 | 35% | 1-3 | 33% | 0-0 | 0% | 1 | 3 | 2 | 3 | 5 | 3 | F | Phoenix |\n| Alex Len | 19 | 10 | 4 | 1 | 4-6 | 67% | 0-0 | 0% | 2-4 | 50% | 1 | 1 | 2 | 1 | 3 | 1 | N/A | Phoenix |\n| Ronnie Price | 11 | 6 | 2 | 2 | 1-3 | 33% | 0-2 | 0% | 4-4 | 100% | 2 | 0 | 0 | 0 | 2 | 1 | N/A | Phoenix |\n| PJ Tucker | 24 | 4 | 4 | 1 | 2-6 | 33% | 0-3 | 0% | 0-0 | 0% | 2 | 2 | 0 | 0 | 4 | 2 | F | Phoenix |\n| Sonny Weems | 17 | 3 | 3 | 0 | 1-2 | 50% | 0-1 | 0% | 1-1 | 100% | 0 | 4 | 0 | 0 | 3 | 0 | N/A | Phoenix |\n| Archie Goodwin | 2 | 1 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 1 | 0 | 1 | 0 | N/A | Phoenix |\n| Jon Leuer | 15 | 1 | 8 | 2 | 0-3 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 8 | 2 | N/A | Phoenix |\n| Mirza Teletovic | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Phoenix |\n| Devin Booker | 2 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Phoenix |\n| Trail Blazers | | | | | | | | | | | | | | | | | | |\n| Damian Lillard | 37 | 24 | 3 | 6 | 7-20 | 35% | 3-8 | 38% | 7-7 | 100% | 0 | 7 | 0 | 0 | 3 | 4 | G | Portland |\n| Al-Farouq Aminu | 32 | 16 | 10 | 0 | 5-9 | 56% | 2-3 | 67% | 4-5 | 80% | 0 | 6 | 2 | 3 | 7 | 5 | F | Portland |\n| CJ McCollum | 33 | 16 | 4 | 3 | 7-22 | 32% | 2-7 | 29% | 0-0 | 0% | 2 | 2 | 0 | 1 | 3 | 4 | G | Portland |\n| Mason Plumlee | 26 | 15 | 5 | 1 | 7-13 | 54% | 0-0 | 0% | 1-2 | 50% | 3 | 1 | 0 | 3 | 2 | 4 | C | Portland |\n| Maurice Harkless | 24 | 9 | 5 | 1 | 4-6 | 67% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 1 | 1 | 4 | 3 | N/A | Portland |\n| Ed Davis | 20 | 5 | 2 | 1 | 2-3 | 67% | 0-0 | 0% | 1-3 | 33% | 0 | 2 | 1 | 1 | 1 | 2 | N/A | Portland |\n| Pat Connaughton | 3 | 5 | 0 | 0 | 1-2 | 50% | 1-1 | 100% | 2-2 | 100% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Portland |\n| Noah Vonleh | 21 | 2 | 6 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 2 | 4 | 2 | N/A | Portland |\n| Meyers Leonard | 18 | 0 | 3 | 2 | 0-5 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 3 | 5 | F | Portland |\n| Allen Crabbe | 23 | 0 | 3 | 1 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 3 | 1 | 0 | 0 | 3 | 3 | N/A | Portland |\n| Tim Frazier | 2 | 0 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 1 | N/A | Portland |\n| Luis Montero | 2 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Portland |\n| Chris Kaman | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |" + } + ] + }, + { + "id": "table_recognition_train_item_51304", + "image": "table_instructV/images/TAT-QA_63563a68-3464-4290-bb30-f40009fc88cd.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| | 2019 | 2018 | 2017 |\n| --- | --- | --- | --- |\n| Number of units granted | 70,543 | 56,829 | 100,958 |\n| Weighted average fair value on grant date(1) (3) | $ 57.53 | $ 43.40 | $ 44.24 |\n| Expected Price volatility(2) | 22.86% | 22.00% | 25.31 % |\n| Risk-free interest rate(2) | 2.36% | 2.00% | 1.56 % |" + } + ] + }, + { + "id": "table_recognition_train_item_106446", + "image": "table_instructV/images/ToTTo_train_table_27097.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Magazine name | Japanese name | Year of First Issue | Year of Last Issue | Demographic | Frequency | Publisher |\n| --- | --- | --- | --- | --- | --- | --- |\n| 4-Koma Nano Ace | 4コマnanoエース | 2011 | 2013 | Shōnen/Seinen | Monthly | Kadokawa Shoten |\n| Altima Ace | アルティマエース | 2011 | 2012 | Shōjo | Bi-monthly | Kadokawa Shoten |\n| Aqua BL Kingdom | アクアBLキングダム | 2007 | 2013 | Josei | Bi-monthly | Oakla Publishing |\n| Aria | アリア | 2010 | | Shōjo/Josei | Monthly | Kodansha |\n| Asuka Ciel | あすかCIEL | 1993 | 1994 | Shōjo | Bi-monthly | Kadokawa Shoten |\n| Asuka Fantasy DX | 月刊ASUKAファンタジーDX | 1991 | 2000 | Shōjo | Monthly | Kadokawa Shoten |\n| Be x Boy | B-Boy | 1993 | | Shōjo | Monthly | Libre Publishing |\n| Be x Boy Gold | 小説b-Boy | 1997 | | Josei | Bi-monthly | Libre Publishing |\n| Be-Love | ビー·ラブ | 1980 | | Josei | Semi-monthly | Kodansha |\n| Bessatsu CoroCoro Comic | 別冊コロコロコミック | 1977 | | Kodomo (male) | Monthly | Shogakukan |\n| Bessatsu Hana to Yume | 別冊花とゆめ | 1977 | | Shōjo | Monthly | Hakusensha |\n| Bessatsu Margaret | 別冊マーガレット | 1964 | | Shōjo | Monthly | Shueisha |\n| Bessatsu Shōnen Magazine (2009) | 別冊少年マガジン | 2009 | | Shōnen | Monthly | Kodansha |\n| Betsucomi (formerly Bessatsu Shoujo Comic) | ベツコミ (別冊少女コミック) | 1970 | | Shōjo | Monthly | Shogakukan |\n| Big Comic Original | ビッグコミックオリジナル | 1972 | | Seinen | Semi-monthly | Shogakukan |\n| Big Comic Superior | ビッグコミックスペリオール | 1987 | | Seinen | Semi-monthly | Shogakukan |\n| Boy's Life | ボーイズライフ | 1963 | 1969 | Shōnen | Monthly | Shogakukan |\n| Champion Red | チャンピオンレッド | 2002 | | Shōnen | Monthly | Akita Shoten |\n| Champion Tap! | Champion タップ! | 2013 | | Shōnen | Weekly | Akita Shoten |\n| Chara | Charaの本棚 | 1994 | | Shōjo | Bi-monthly | Tokuma Shoten |\n| Charano! | キャラの! | 2006 | 2013 | Mixed | Bi-monthly | Hobby Japan |\n| Cheese! | チーズ! | 1996 | | Shōjo | Monthly | Shogakukan |\n| Chuchu | ちゅちゅ | 2005 | 2009 | Shōjo | Monthly | Shogakukan |\n| Ciao (formerly Weekly Shōjo Ciao) | ちゃお (週刊少女コミックちゃお) | 1976 | | Shōjo | Monthly | Shogakukan |\n| Ciel Tres Tres | シエル トレトレ | 2002 | 2014 | Unknown | Bi-monthly | Kadokawa Shoten |\n| Cocohana (formerly Chorus) | コーラス | 1994 | | Josei | Monthly | Shueisha |\n| COM | コム | 1967 | 1972 | Shōnen | Monthly | Osamu Tezuka |\n| Comi Digi + | 隔月コミデジ+ | 2006 | 2008 | Seinen | Bi-monthly | Flex Comix |\n| Comic Beam | コミックビーム | 1995 | | Seinen | Monthly | Enterbrain |\n| Comic Birz | 月刊コミックバーズ | 1996 | | Seinen | Monthly | Gentosha |\n| Comic Blade Brownie | コミックブレイドブラウニー | 2008 | 2009 | Shōnen/Shōjo | Issued once | Mag Garden |\n| Comic Blade Masamune | コミックブレイドマサムネ | 2002 | 2007 | Shōnen | Bi-monthly | Mag Garden |\n| Comic BomBom | コミックボンボン | 1981 | 2007 | Kodomo (male) | Monthly | Kodansha |\n| Comic Cue | コミックCUE | 1994 | 2003 | Unknown | Semi-annually | East Press |\n| Comic Earth Star | コミック アース・スター | 2011 | | Shōnen | Monthly | Earth Star Entertainment |\n| Comic Gum | コミックガム | 1996 | | Seinen | Monthly | Wani Books |\n| Comic High! | コミック·ハイ! | 2004 | | Seinen | Monthly | Futabasha |\n| Comic It | コミック イット | 2015 | 2018 (print version) | Josei | Monthly | Kadokawa ASCII Media Works |\n| Comic LO | 成年コミックエルオー | 2002 | | Lolicon | Monthly | Akane Shinsha |\n| Comic MegaStore | コミックメガストア | 2003 | 2013 | Unknown | Monthly | Core Magazine |\n| Comic MegaStore H | コミックメガストアH | 2003 | | Unknown | Monthly | Core Magazine |\n| Comic Rex | コミックレックス | 2005 | | Shōnen | Monthly | Ichijinsha |\n| Comic Rush | 月刊コミックラッシュ | 2004 | 2014 | Shōnen | Monthly | Jive |\n| Comic Sylph | シルフ | 2006 | 2017 (print version) | Shōjo | Monthly | ASCII Media Works |\n| Comic Valkyrie | コミックヴァルキリー | 2006 | | Seinen | Bi-monthly | Kill Time Communication |\n| Comic Yuri Hime | コミック百合姫 | 2005 | | Shōjo | Monthly | Ichijinsha |\n| Comic Yuri Hime S | コミック百合姫S | 2007 | 2010 | Shōnen/Seinen | Quarterly | Ichijinsha |\n| Comp Ace | コンプ エース | 2005 | | Shōnen | Monthly | Kadokawa Shoten |\n| Comptiq | コンプティーク | 1983 | | Seinen | Monthly | Kadokawa Shoten |\n| Cookie | クッキー | 1999 | | Shōjo/Josei | Bi-monthly | Shueisha |\n| CoroCoro Comic | 月刊コロコロコミック | 1977 | | Kodomo (male) | Monthly | Shogakukan |\n| CoroCoro Ichiban! | コロコロイチバン! | 2005 | | Kodomo (male) | Monthly | Shogakukan |\n| Craft | クラフト | 1999 | | Unknown | Quarterly | Taiyou Tosho |\n| Dengeki Comic Gao! | 月刊電撃コミックガオ! | 1992 | 2008 | Shōnen | Monthly | MediaWorks |\n| Dengeki Daioh | 月刊コミック電撃大王 | 1994 | | Shōnen | Monthly | ASCII Media Works |\n| Dengeki G's Comic | 電撃G'sコミック | 2014 | | Seinen | Monthly | ASCII Media Works |\n| Dengeki G's Festival! Comic | 電撃G's Festival! COMIC | 2007 | 2010 | Seinen | Irregular | ASCII Media Works |\n| Dengeki G's Magazine | 電撃G's magazine | 1992 | | Seinen | Monthly | ASCII Media Works |\n| Dengeki hp | 電撃hp | 1998 | 2007 | Seinen | Bi-monthly | MediaWorks |\n| Dengeki Kuro Maoh | 電撃黒「マ)王 | 2007 | 2010 | Seinen | Quarterly | ASCII Media Works |\n| Dengeki Maoh | 電撃「マ)王 | 2005 | | Seinen | Monthly | ASCII Media Works |\n| Dengeki Moeoh | 電撃萌王 | 2002 | | Seinen | Bi-monthly | ASCII Media Works |\n| Dengeki Teioh | 電撃帝王 | 2004 | 2006 | Seinen | Quarterly | ASCII Media Works |\n| Dessert | デザート | 1996 | | Shōjo/Josei | Monthly | Kodansha |\n| Dragon Age Pure | ドラゴンエイジピュア | 2006 | 2009 | Shōnen | Bi-monthly | Fujimi Shobo |\n| drap | ドラ | 2000 | | Unknown | Monthly | Independent |\n| Evening | イブニング | 2001 | | Seinen | Bi-weekly | Kodansha |\n| Feel Young | フィール·ヤング | 1989 | | Josei | Monthly | Shodensha |\n| For Mrs. | フォアミセス | 1986 | | Josei | Monthly | Akita Shoten |\n| Gangan Powered | ガンガンパワード | 2001 | 2009 | Shōnen | Monthly | Square Enix |\n| Garo | ガロ | 1964 | 2002 | Unknown | Monthly | Katsuichi Nagai |\n| Gessan (also referred to as Monthly Shōnen Sunday) | ゲッサン | 2009 | | Shōnen | Monthly | Shogakukan |\n| GFantasy | 月刊Gファンタジー | 1993 | | Mixed | Monthly | Square Enix |\n| Good! Afternoon | good!アフタヌーン | 2008 | | Seinen | Monthly | Kodansha |\n| Grand Jump | グランドジャンプ | 2011 | | Seinen | Semi-monthly | Shueisha |\n| Gundam Ace | ガンダムエース | 2001 | | Seinen | Monthly | Kadokawa Shoten |\n| GUSH | ガッシュ | 2003 | | Josei | Monthy | Kaiohsha |\n| Hana to Yume | 花とゆめ | 1974 | | Shōjo | Semi-monthly | Hakusensha |\n| Hanaoto | 花音 | 1994 | | Josei | Monthly | Houbunsha |\n| Jossie | ジョシィ | 1998 | 1998 | Josei | Irregular | Hakusensha |\n| Jump Square | ジャンプスクエア | 2007 | | Shōnen | Monthly | Shueisha |\n| June (manga magazine) | コミックJUNE | 1978 | 2004 | Unknown | Bi-monthly | Magazine Magazine |\n| Keitai Manga Town | ケータイまんがタウン | 2006 | | Unknown | Monthly | Futabasha |\n| Kerokero Ace | ケロケロエース | 2007 | 2013 | Shōnen | Monthly | Kadokawa Shoten |\n| Kiss | キス | 2007 | | Josei | Monthly | Kodansha |\n| LaLa | ララ | 1976 | | Shōjo | Monthly | Hakusensha |\n| LaLa DX | ララ デラックス | 1983 | | Shōjo | Bi-monthly | Hakusensha |\n| Lemon People | レモンピープル | 1981 | 1998 | Unknown | Monthly | Kubo Shoten |\n| Love Silky (formerly Silky) | ラブシルキー | 2013 | | Josei | Monthly | Hakusensha |\n| Lupin III Official Magazine | ルパン三世officialマガジン | 2004 | | Unknown | Quarterly | Futabasha |\n| Magazine Special | 少年マガジンSPECIAL | 1983 | 2017 | Shōnen | Monthly | Kodansha |\n| Magi-Cu | マジキュー | 2001 | 2007 | Shōnen/Seinen | Monthly | Enterbrain |\n| Manga 4-koma Kings Palette | まんが4コマKINGSぱれっと | 2006 | | Unknown | Monthly | Ichijinsha |\n| Manga Action (formerly Weekly Manga Action) | 週刊漫画アクション | 1967 | | Seinen | Bi-weekly | Futabasha |\n| Manga Burikko | 漫画ブリッコ | 1982 | 1986 | Lolicon | Monthly | Serufu Shuppan |\n| Manga Club | まんがくらぶ | 1987 | | Unknown | Monthly | Takeshobo |\n| Manga Club Original | まんがくらぶオリジナル | 1999 | | Unknown | Monthly | Takeshobo |\n| Manga Erotics F | マンガ·エロティクス·エフ | 2001 | 2014 | Mixed | Bi-monthly | Ohta Publishing |\n| Manga Goccha | マンガごっちゃ | 2010 | | Mixed | Unknown | Micro Magazine |\n| Manga Home | まんがホーム | 1987 | | Seinen | Monthly | Houbunsha |\n| Manga Life | まんがライフ | 1984 | | Unknown | Monthly | Takeshobo |\n| Manga Life Momo | まんがライフMOMO | 2003 | | Unknown | Monthly | Takeshobo |\n| Manga Life Original | まんがライフオリジナル | 1988 | | Unknown | Monthly | Takeshobo |\n| Manga Time | まんがタイム | 1981 | | Seinen | Monthly | Houbunsha |\n| Manga Time Family | まんがタイムファミリー | 1984 | | Seinen | Monthly | Houbunsha |\n| Manga Time Jumbo | まんがタイムジャンボ | 1995 | | Seinen | Monthly | Houbunsha |\n| Manga Time Kirara | まんがタイムきらら | 2002 | | Seinen | Monthly | Houbunsha |\n| Manga Time Kirara Carat | まんがタイムきららCarat | 2003 | | Seinen | Monthly | Houbunsha |\n| Manga Time Kirara Forward | まんがタイムきららフォワード | 2006 | | Seinen | Monthly | Houbunsha |\n| Manga Time Kirara Max | まんがタイムきららMAX | 2004 | | Seinen | Monthly | Houbunsha |\n| Manga Time Kirara Miracle | まんがタイムきららミラク | 2011 | | Seinen | Monthly | Houbunsha |\n| Manga Time Lovely | まんがタイムラブリー | 1993 | 2011 | Unknown | Monthly | Houbunsha |\n| Manga Time Original | まんがタイムオリジナル | 1982 | | Seinen | Monthly | Houbunsha |\n| Manga Time Special | まんがタイムスペシャル | 1992 | | Seinen | Monthly | Houbunsha |\n| Manga Town | まんがタウン | 2000 | | Unknown | Monthly | Futabasha |\n| Margaret | マーガレット | 1963 | | Shōjo | Bi-weekly | Shueisha |\n| Megami Magazine | メガミマガジン | 1999 | | Seinen | Monthly | Gakken |\n| Melody | メロディ | 1997 | | Josei | Bi-monthly | Hakusensha |\n| Monthly Afternoon | アフタヌーン | 1986 | | Seinen | Monthly | Kodansha |\n| Monthly Asuka | 月刊あすか | 1985 | | Shōjo | Monthly | Kadokawa Shoten |\n| Monthly Big Comic Spirits | 月刊!スピリッツ | 2009 | | Seinen | Monthly | Shogakukan |\n| Monthly Comic @Bunch (formerly Weekly Comic Bunch) | 月刊コミック＠バンチ | 2011 | | Seinen | Monthly | Shinchosha |\n| Monthly Comic Alive | 月刊コミックアライブ | 2006 | | Seinen | Monthly | Media Factory |\n| Monthly Comic Avarus (formerly Monthly Comic Blade Avarus) | 月刊コミックアヴァルス (formerly 月刊コミックブレイドアヴァルス) | 2007 | | Shōjo | Monthly | Mag Garden |\n| Monthly Comic Blade | 月刊コミックブレイド | 2002 | | Shōnen/Shōjo | Irregular | Mag Garden |\n| Monthly Comic Dragon | 月刊コミックドラゴン | 1992 | 2003 | Shōnen | Monthly | Fujimi Shobo |\n| Monthly Comic Flapper | コミックフラッパー | 1999 | | Seinen | Monthly | Media Factory |\n| Monthly Comic Garden | 月刊コミックガーデン | 2014 | | Shōnen/Shōjo | Monthly | Mag Garden |\n| Monthly Comic Gene | 月刊コミックジーン | 2011 | | Shōjo | Monthly | Media Factory |\n| Monthly Comic NORA | 月刊コミックNORA | 1986 | 1998 | Shōnen | Monthly | Gakken |\n| Monthly Comic Ryū | 月刊COMICリュウ | 1979 | | Seinen | Monthly | Tokuma Shoten |\n| Monthly Comic Zenon | 月刊コミックゼノン | 2010 | | Seinen | Monthly | Tokuma Shoten |\n| Monthly Comic Zero Sum | 月刊コミックZERO-SUM | 2002 | | Josei | Monthly | Ichijinsha |\n| Monthly Dragon Age (formerly Monthly Comic Dragon) | 月刊ドラゴンエイジ | 2003 | | Shōnen | Monthly | Fujimi Shobo |\n| Monthly Dragon Magazine | ドラゴンマガジン | 1988 | | Shōnen | Bi-monthly | Fujimi Shobo |\n| Monthly Gangan Joker | 月刊ガンガンJOKER | 2009 | | Shōnen | Monthly | Square Enix |\n| Monthly Gangan Wing | 月刊ガンガンWING | 1996 | 2009 | Shōnen | Monthly | Square Enix |\n| Monthly Ikki | 月刊IKKI | 2003 | 2014 | Seinen | Monthly | Shogakukan |\n| Monthly Magazine Z | 月刊マガジンZ | 1999 | 2009 | Seinen | Monthly | Kodansha |\n| Monthly Shōnen Champion (formerly Bessatsu Shōnen Champion) | 月刊少年チャンピオン | 1970 | | Shōnen | Monthly | Akita Shoten |\n| Monthly Shōnen Gangan | 月刊少年ガンガン | 1991 | | Shōnen | Monthly | Square Enix |\n| Monthly Shōnen Jump (formerly Bessatsu Shōnen Jump) | 月刊少年ジャンプ (formerly 別冊少年ジャンプ) | 1970 | 2007 | Shōnen | Monthly | Shueisha |\n| Monthly Shōnen Magazine (formerly Bessatsu Shōnen Magazine) | 月刊少年マガジン (formerly 別冊少年マガジン) | 1964 | | Shōnen | Monthly | Kodansha |\n| Monthly Shōnen Sirius | 月刊少年シリウス | 2005 | | Shōnen | Monthly | Kodansha |\n| Monthly Sunday Gene-X | 月刊サンデーGENE-X | 2000 | | Shōnen | Monthly | Shogakukan |\n| Morning 2 | モーニング·ツー | 2006 | | Seinen | Monthly | Kodansha |\n| Nakayoshi | なかよし | 1955 | | Shōjo | Monthly | Kodansha |\n| Newtype | ニュータイプ | 1985 | | Mixed | Monthly | Kadokawa Shoten |\n| Oh Super Jump | オースーパージャンプ | 2005 | 2011 | Seinen | Monthly | Shueisha |\n| Petit Comic | プチコミック | 1977 | | Josei | Monthly | Shogakukan |\n| Play Comic | プレイコミック | 1968 | | Seinen | Semi-monthly | Akita Shoten |\n| Princess | プリンセス | 1975 | | Shōjo | Monthly | Akita Shoten |\n| Princess Gold | プリンセスGOLD | 1979 | | Shōjo | Semi-monthly | Akita Shoten |\n| Pucchigumi | ぷっちぐみ | 2006 | | Kodomo (female) | Monthly | Shogakukan |\n| Ribon | りぼん | 1955 | | Shōjo | Monthly | Shueisha |\n| Ribon Original | りぼんオリジナル | 1981 | 2006 | Shōjo | Bi-monthly | Shueisha |\n| Saikyō Jump | 最強ジャンプ | 2010 | | Shōnen | Bi-monthly | Shueisha |\n| Shōjo Comic | 少女コミック | 1968 | | Shōjo | Semi-monthly | Shogakukan |\n| Shōjo Friend | 少女フレンド | 1962 | 1996 | Shōjo | Monthly | Kodansha |\n| Shōnen Ai no Bigaku | 少年愛の美学 | 2003 | 2008 | Shotacon | Irregular | Shobukan |\n| Shōnen Ace | 月刊少年エース | 1994 | | Shōnen | Monthly | Kadokawa Shoten |\n| Shōnen Big Comic (formerly Weekly Shōnen Big Comic & Manga-kun) | 少年ビッグコミック (formerly 週刊少年ビッグコミック and マンガくん) | 1976 | 1987 | Shōnen | Bi-weekly | Shogakukan |\n| Shōnen Book | 少年ブック | 1958 | 1969 | Shōnen | Monthly | Shueisha |\n| Shōnen Magazine Edge | 少年マガジンエッジ | 2015 | | Shōnen | Monthly | Kodansha |\n| Shōnen Rival | 月刊少年ライバル | 2008 | 2014 | Shōnen | Monthly | Kodansha |\n| Shōnen Sekai | 少年世界 | 1895 | 1914 | Shōnen | Monthly | Hakubunkan |\n| Shōnen Sunday Super (formerly Shōnen Sunday Zokan) | 少年サンデー超 (formerly 週刊少年サンデー増刊号) | 1978 | | Shōnen | Monthly | Shogakukan |\n| Silky | シルキー | 1985 | 2013 | Josei | Bi-monthly | Hakusensha |\n| Super Jump | スーパージャンプ | 1986 | 2011 | Seinen | Bi-weekly | Shueisha |\n| Televi-Kun | てれびくん | 1976 | | Kodomo (male) | Monthly | Shogakukan< |\n| The Hana to Yume | ザ花とゆめ | 1999 | | Shōjo | Bi-monthly | Hakusensha |\n| Tsubomi | つぼみ | 2009 | 2012 | Unknown | Quarterly/Bi-monthly | Houbunsha |\n| Ultra Jump | ウルトラ ジャンプ | 1999 | | Seinen | Monthly | Shueisha |\n| V Jump | ブイジャンプ | 1993 | | Shōnen | Monthly | Shueisha |\n| Weekly Comic Bunch | 週刊コミックバンチ | 2001 | 2010 | Seinen | Weekly | Coamix/Shinchosha |\n| Weekly Manga Goraku | 週刊漫画ゴラク | 1968 | | Seinen | Weekly | Nihon Bungeisha |\n| Weekly Manga Sunday | 週刊漫画サンデー | 1959 | 2013 | Seinen | Weekly | Jitsugyo no Nihon Sha |\n| Weekly Manga Times | 週刊漫画TIMES | 1956 | | Seinen | Weekly | Houbunsha |\n| Weekly Morning (formerly Comic Morning) | 週刊モーニング (formerly コミックモーニング) | 1982 | | Seinen | Weekly | Kodansha |\n| Weekly Shōnen Champion | 週刊少年チャンピオン | 1969 | | Shōnen | Weekly | Akita Shoten |\n| Weekly Shōnen Jump (formerly Shōnen Jump) | 週刊少年ジャンプ (formerly 少年ジャンプ) | 1968 | | Shōnen | Weekly | Shueisha |\n| Weekly Shōnen Magazine | 週刊少年マガジン | 1959 | | Shōnen | Weekly | Kodansha |\n| Weekly Shōnen Sunday | 週刊少年サンデー | 1959 | | Shōnen | Weekly | Shogakukan |\n| Weekly Young Jump | 週刊ヤングジャンプ | 1979 | | Seinen | Weekly | Shueisha |\n| Weekly Young Sunday | 週刊ヤングサンデー | 1987 | 2008 | Seinen | Weekly | Shogakukan |\n| Wings | 月刊ウィングス | 1982 | | Shōjo | Monthly | Shinshokan |\n| You | ユー | 1980 | | Josei | Semi-monthly | Shueisha |\n| Young Ace | ヤングエース | 2009 | | Seinen | Monthly | Kadokawa Shoten |\n| Young Animal (formerly Animal House) | ヤングアニマル (formerly アニマルハウス) | 1989 | | Seinen | Bi-weekly | Hakusensha |\n| Young Animal Arashi | ヤングアニマル嵐 | 2000 | | Seinen | Monthly | Hakusensha |\n| Young Champion | ヤングチャンピオン | 1988 | | Seinen | Semi-monthly | Akita Shoten |\n| Young Comic | ヤングコミック | 1967 | | Seinen | Monthly | Shōnen Gahōsha |\n| Young Gangan | ヤングガンガン | 2004 | | Seinen | Semi-monthly | Square Enix |\n| Young King | ヤングキング | 1987 | | Seinen | Bi-weekly | Shōnen Gahōsha |\n| Young King OURs | ヤングキングアワーズ | 1993 | | Seinen | Monthly | Shōnen Gahōsha |\n| Young Magazine | 週刊ヤングマガジン | 1980 | | Seinen | Weekly | Kodansha |\n| Young Magazine Uppers | ヤングマガジンアッパーズ | 1998 | 2004 | Seinen | Semi-monthly | Kodansha |\n| Young You | ヤングユー | 1986 | 2005 | Josei | Monthly | Shueisha |\n| Yuri Shimai | 百合姉妹 | 2003 | 2004 | Unknown | Quarterly | Sun Magazine |\n| Zero Sum Ward | ゼロサムWARD | 2003 | 2015 | Josei | Bi-Monthly | Ichijinsha |\n| Zōkan Young Gangan | 増刊ヤングガンガン | 2007 | | Seinen | Irregular | Square Enix |" + } + ] + }, + { + "id": "table_recognition_train_item_56830", + "image": "table_instructV/images/TabFact_1-23963781-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| name | nationality | position | athletica career | appearances | starts | minutes | goals | assists |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| eniola aluko | england | fw | 2009 - | 19 | 17 | 1503 | 6 | 4 |\n| lori chalupny | united states | mf | 2009 - | 19 | 19 | 1665 | 2 | 1 |\n| amanda cinalli | united states | fw | 2009 | 13 | 13 | 1007 | 2 | 1 |\n| niki cross | united states | df | 2009 | 12 | 8 | 646 | 1 | 0 |\n| daniela | brazil | mf | 2009 | 4 | 4 | 318 | 2 | 0 |\n| madelaine edlund | sweden | fw | 2010 - | 0 | 0 | 0 | 0 | 0 |\n| elaine | brazil | mf | 2010 - | 0 | 0 | 0 | 0 | 0 |\n| tina ellertson | united states | df | 2009 - | 21 | 21 | 1838 | 0 | 0 |\n| kendall fletcher | united states | df | 2009 - | 17 | 16 | 1428 | 0 | 3 |\n| francielle | brazil | mf | 2009 | 6 | 3 | 323 | 0 | 0 |\n| sheree gray | united states | df | 2009 | 5 | 1 | 144 | 0 | 0 |\n| kerri hanks | united states | fw | 2009 | 10 | 6 | 573 | 1 | 1 |\n| erin kane | united states | gk | 2009 | 0 | 0 | 0 | 0 | 0 |\n| sara larsson | sweden | df | 2009 | 15 | 12 | 1047 | 0 | 0 |\n| stephanie logterman | united states | df | 2009 - | 14 | 8 | 896 | 0 | 0 |\n| jillian loyden | united states | gk | 2009 - | 3 | 3 | 270 | 0 | 0 |\n| kia mcneill | united states | df | 2009 - | 20 | 18 | 1469 | 0 | 0 |\n| ashlee pistorius | united states | fw | 2009 | 5 | 0 | 71 | 0 | 0 |\n| hope solo | united states | gk | 2009 - | 18 | 18 | 1620 | 0 | 0 |\n| lisa stoia | united states | mf | 2009 | 12 | 9 | 863 | 0 | 0 |\n| melissa tancredi | canada | fw | 2009 | 15 | 10 | 914 | 0 | 2 |\n| lydia vandenbergh | united states | mf | 2009 | 0 | 0 | 0 | 0 | 0 |\n| sarah walsh | australia | fw | 2009 | 7 | 3 | 340 | 0 | 1 |\n| erin walter | united states | mf | 2009 | 6 | 0 | 192 | 0 | 0 |\n| elise weber | united states | df | 2009 - | 19 | 15 | 1369 | 1 | 0 |\n| christie welsh | united states | fw | 2009 | 12 | 8 | 662 | 3 | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_112391", + "image": "table_instructV/images/Rotowire_train_table_538.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pacers | Indiana | 102 | 32 | 28 | 23 | 19 | 12 | 46 | 9 | 43 | 84 | 33 | 34 | 32 | | | | |\n| Heat | Miami | 98 | 22 | 31 | 22 | 23 | 18 | 54 | 8 | 42 | 69 | 28 | 32 | 35 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| Paul George | 37 | 28 | 10 | 1 | 9-19 | 47% | 1-4 | 25% | 9-9 | 100% | 1 | 2 | 1 | 0 | 10 | 2 | F | Indiana |\n| Myles Turner | 30 | 15 | 8 | 1 | 4-14 | 29% | 0-3 | 0% | 7-7 | 100% | 0 | 1 | 1 | 5 | 3 | 3 | C | Indiana |\n| Thaddeus Young | 38 | 13 | 5 | 1 | 5-9 | 56% | 0-0 | 0% | 3-6 | 50% | 0 | 0 | 0 | 1 | 4 | 1 | F | Indiana |\n| Jeff Teague | 31 | 12 | 5 | 4 | 4-11 | 36% | 1-1 | 100% | 3-3 | 100% | 0 | 2 | 1 | 1 | 4 | 2 | G | Indiana |\n| Rodney Stuckey | 20 | 9 | 2 | 3 | 3-6 | 50% | 1-1 | 100% | 2-2 | 100% | 0 | 2 | 0 | 0 | 2 | 1 | N/A | Indiana |\n| CJ Miles | 30 | 8 | 5 | 0 | 3-8 | 38% | 1-5 | 20% | 1-1 | 100% | 0 | 0 | 0 | 0 | 5 | 3 | G | Indiana |\n| Rakeem Christmas | 18 | 7 | 5 | 0 | 3-5 | 60% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 3 | 2 | 2 | N/A | Indiana |\n| Monta Ellis | 19 | 6 | 1 | 2 | 2-6 | 33% | 1-1 | 100% | 1-2 | 50% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Indiana |\n| Glenn Robinson III | 13 | 4 | 3 | 0 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 0 | 3 | 0 | N/A | Indiana |\n| Lavoy Allen | 3 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 0 | N/A | Indiana |\n| Kevin Seraphin | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Aaron Brooks | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Al Jefferson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Hassan Whiteside | 34 | 26 | 21 | 0 | 11-21 | 52% | 0-0 | 0% | 4-5 | 80% | 0 | 2 | 1 | 10 | 11 | 2 | C | Miami |\n| Dion Waiters | 36 | 20 | 8 | 6 | 8-18 | 44% | 3-7 | 43% | 1-3 | 33% | 0 | 1 | 0 | 0 | 8 | 2 | G | Miami |\n| Wayne Ellington | 27 | 19 | 1 | 2 | 7-13 | 54% | 5-11 | 46% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Miami |\n| James Johnson | 32 | 14 | 4 | 0 | 6-16 | 38% | 1-5 | 20% | 1-1 | 100% | 0 | 2 | 0 | 0 | 4 | 4 | N/A | Miami |\n| Josh Richardson | 37 | 9 | 8 | 0 | 2-7 | 29% | 0-3 | 0% | 5-6 | 83% | 3 | 1 | 1 | 5 | 3 | 3 | G | Miami |\n| Rodney McGruder | 19 | 4 | 3 | 3 | 2-5 | 40% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 1 | 2 | 1 | 3 | F | Miami |\n| Willie Reed | 14 | 4 | 6 | 2 | 2-3 | 67% | 0-0 | 0% | 0-1 | 0% | 1 | 0 | 1 | 2 | 4 | 2 | N/A | Miami |\n| Tyler Johnson | 25 | 2 | 2 | 5 | 1-9 | 11% | 0-4 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 2 | N/A | Miami |\n| Luke Babbitt | 11 | 0 | 0 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | F | Miami |\n| Okaro White | 5 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Miami |\n| Udonis Haslem | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Goran Dragic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |" + } + ] + }, + { + "id": "table_recognition_train_item_117823", + "image": "table_instructV/images/Rotowire_train_table_3254.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kings | Sacramento | 102 | 24 | 27 | 24 | 27 | 22 | 41 | 10 | 49 | 78 | 25 | 28 | 53 | | | | |\n| Lakers | Los Angeles | 92 | 24 | 27 | 23 | 18 | 19 | 49 | 11 | 42 | 62 | 27 | 21 | 60 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Kings | | | | | | | | | | | | | | | | | | |\n| Omri Casspi | 37 | 26 | 9 | 6 | 7-14 | 50% | 2-5 | 40% | 10-13 | 77% | 0 | 2 | 0 | 0 | 9 | 2 | F | Sacramento |\n| Derrick Williams | 29 | 20 | 1 | 2 | 6-12 | 50% | 1-4 | 25% | 7-9 | 78% | 1 | 1 | 0 | 0 | 1 | 1 | N/A | Sacramento |\n| Carl Landry | 19 | 14 | 3 | 0 | 5-7 | 71% | 0-0 | 0% | 4-4 | 100% | 0 | 0 | 0 | 0 | 3 | 2 | F | Sacramento |\n| Ray McCallum | 28 | 12 | 5 | 3 | 5-11 | 46% | 0-1 | 0% | 2-2 | 100% | 1 | 2 | 0 | 1 | 4 | 2 | G | Sacramento |\n| Andre Miller | 27 | 10 | 2 | 6 | 5-7 | 71% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 2 | 0 | 2 | 2 | N/A | Sacramento |\n| Jason Thompson | 32 | 10 | 10 | 2 | 4-8 | 50% | 0-0 | 0% | 2-4 | 50% | 0 | 2 | 3 | 2 | 8 | 2 | C | Sacramento |\n| Ben McLemore | 31 | 8 | 5 | 2 | 2-7 | 29% | 1-4 | 25% | 3-4 | 75% | 1 | 2 | 0 | 1 | 4 | 0 | G | Sacramento |\n| Ryan Hollins | 16 | 2 | 5 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 1 | 4 | 1 | N/A | Sacramento |\n| Nik Stauskas | 21 | 0 | 1 | 1 | 0-4 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 1 | 2 | N/A | Sacramento |\n| David Stockton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Reggie Evans | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Rudy Gay | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Lakers | | | | | | | | | | | | | | | | | | |\n| Jordan Clarkson | 47 | 23 | 5 | 6 | 10-21 | 48% | 2-5 | 40% | 1-2 | 50% | 5 | 3 | 1 | 0 | 5 | 2 | G | Los Angeles |\n| Jordan Hill | 28 | 18 | 6 | 4 | 9-19 | 47% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 6 | 3 | F | Los Angeles |\n| Jabari Brown | 46 | 18 | 2 | 7 | 6-17 | 35% | 1-6 | 17% | 5-6 | 83% | 0 | 1 | 0 | 0 | 2 | 5 | G | Los Angeles |\n| Tarik Black | 24 | 8 | 7 | 0 | 4-6 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 3 | 4 | 4 | C | Los Angeles |\n| Carlos Boozer | 20 | 8 | 10 | 1 | 4-10 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 1 | 5 | 5 | 4 | N/A | Los Angeles |\n| Vander Blue | 26 | 7 | 2 | 0 | 3-7 | 43% | 1-2 | 50% | 0-2 | 0% | 2 | 2 | 0 | 0 | 2 | 2 | N/A | Los Angeles |\n| Ed Davis | 22 | 7 | 14 | 0 | 3-10 | 30% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 9 | 5 | 3 | N/A | Los Angeles |\n| Ryan Kelly | 27 | 3 | 3 | 1 | 1-6 | 17% | 0-2 | 0% | 1-1 | 100% | 1 | 1 | 1 | 0 | 3 | 3 | F | Los Angeles |\n| Wesley Johnson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Wayne Ellington | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Robert Sacre | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Jeremy Lin | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Nick Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |" + } + ] + }, + { + "id": "table_recognition_train_item_106369", + "image": "table_instructV/images/ToTTo_train_table_26801.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Year | Film | Role | Language | Notes |\n| --- | --- | --- | --- | --- |\n| 2012 | Vazhakku Enn 18/9 | Jyothi | Tamil | National Film Award for Best Feature Film in South 2nd South Indian International Movie Awards For Best Debut Actress & Best Supporting actress 7th Vijay Awards For Best Debut Actress & Best Supporting actress |\n| 2012 | Ballad of Rustom | Unknown | Hindi-English | |\n| 2014 | Chirodini Tumi Je Amar 2 | Jyoti | Bengali | |\n| 2014 | TRP Aru... | Pallavi | Assamese | |\n| 2015 | Manjhi - The Mountain Man | Lauki | Hindi | |\n| 2015 | Pareshaanpur | Radhika | Hindi | |\n| 2016 | Kothanodi- The river of Fables | Keteki | Assamese | |\n| 2016 | Bokul | Bokul | Assamese | \"Best actor female\" award in Patna International Film Festival 2016 Best Artist award in 1st Sailadhar Baruah film awards 2016. |\n| 2016 | Akira | Anna | Hindi | |\n| 2016 | Udal | Unknown | Malayalam | |\n| 2017 | Purab Ki Awaaz | Kanaklata Barua and Urmila | Hindi, Assamese | |\n| 2017 | Antareen | Torali | Assamese | Won the Best actress in Prag Cine Awards North-East 2016 and Best Artiste in 1st Sailadhar Baruah awards 2016 |\n| 2017 | Chakallashpur ayush | Champa | Hindi | |\n| 2017 | Viraam | Matun | Hindi | |\n| 2018 | Pad Man | Savitri | Hindi | |" + } + ] + }, + { + "id": "table_recognition_train_item_116771", + "image": "table_instructV/images/Rotowire_train_table_2728.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kings | Sacramento | 101 | 29 | 28 | 23 | 21 | 21 | 48 | 21 | 47 | 72 | 43 | 23 | 45 | | | | |\n| Hornets | Charlotte | 91 | 22 | 24 | 23 | 22 | 16 | 36 | 13 | 40 | 81 | 33 | 29 | 38 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Kings | | | | | | | | | | | | | | | | | | |\n| Rudy Gay | 37 | 33 | 9 | 4 | 11-20 | 55% | 2-5 | 40% | 9-10 | 90% | 2 | 3 | 0 | 3 | 6 | 3 | F | Sacramento |\n| Derrick Williams | 25 | 13 | 2 | 2 | 4-8 | 50% | 1-4 | 25% | 4-6 | 67% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Sacramento |\n| Omri Casspi | 33 | 10 | 5 | 2 | 4-6 | 67% | 1-2 | 50% | 1-3 | 33% | 0 | 3 | 0 | 0 | 5 | 2 | F | Sacramento |\n| Ben McLemore | 27 | 9 | 0 | 2 | 3-7 | 43% | 2-4 | 50% | 1-1 | 100% | 1 | 2 | 0 | 0 | 0 | 3 | G | Sacramento |\n| Jason Thompson | 27 | 8 | 8 | 1 | 4-8 | 50% | 0-0 | 0% | 0-1 | 0% | 0 | 2 | 2 | 0 | 8 | 2 | C | Sacramento |\n| Ray McCallum | 23 | 8 | 4 | 1 | 4-9 | 44% | 0-1 | 0% | 0-0 | 0% | 0 | 4 | 1 | 2 | 2 | 2 | G | Sacramento |\n| Nik Stauskas | 16 | 8 | 1 | 0 | 2-6 | 33% | 2-4 | 50% | 2-2 | 100% | 1 | 1 | 0 | 0 | 1 | 1 | N/A | Sacramento |\n| Andre Miller | 25 | 7 | 3 | 7 | 3-6 | 50% | 1-1 | 100% | 0-0 | 0% | 0 | 2 | 0 | 1 | 2 | 0 | N/A | Sacramento |\n| Reggie Evans | 21 | 4 | 16 | 2 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 4 | 0 | 5 | 11 | 2 | N/A | Sacramento |\n| Carl Landry | 7 | 1 | 0 | 0 | 0-3 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Sacramento |\n| Ryan Hollins | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Gerald Henderson | 31 | 20 | 5 | 0 | 8-16 | 50% | 0-1 | 0% | 4-5 | 80% | 1 | 3 | 0 | 2 | 3 | 0 | G | Charlotte |\n| Kemba Walker | 31 | 18 | 5 | 2 | 7-18 | 39% | 1-5 | 20% | 3-3 | 100% | 4 | 2 | 0 | 0 | 5 | 1 | G | Charlotte |\n| Al Jefferson | 35 | 17 | 5 | 2 | 8-18 | 44% | 0-0 | 0% | 1-1 | 100% | 2 | 1 | 1 | 0 | 5 | 3 | C | Charlotte |\n| Michael Kidd-Gilchrist | 35 | 13 | 7 | 0 | 5-9 | 56% | 0-0 | 0% | 3-4 | 75% | 1 | 3 | 1 | 3 | 4 | 2 | F | Charlotte |\n| Marvin Williams | 25 | 9 | 2 | 1 | 3-8 | 38% | 3-4 | 75% | 0-0 | 0% | 1 | 0 | 0 | 1 | 1 | 4 | N/A | Charlotte |\n| Mo Williams | 31 | 9 | 1 | 4 | 3-15 | 20% | 2-8 | 25% | 1-1 | 100% | 0 | 1 | 0 | 0 | 1 | 4 | N/A | Charlotte |\n| Bismack Biyombo | 13 | 2 | 3 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 0 | 3 | 2 | N/A | Charlotte |\n| Lance Stephenson | 19 | 2 | 2 | 3 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 0 | 1 | 1 | 1 | N/A | Charlotte |\n| Cody Zeller | 19 | 1 | 6 | 4 | 0-3 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 6 | 1 | F | Charlotte |\n| PJ Hairston | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Brian Roberts | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Jason Maxiell | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Jeff Taylor | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |" + } + ] + }, + { + "id": "table_recognition_train_item_31254", + "image": "table_instructV/images/TABMWP_5732.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| | Butterfly | Batwing |\n| --- | --- | --- |\n| Cotton | 3 | 4 |\n| Suede | 4 | 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_50358", + "image": "table_instructV/images/TAT-QA_b6d52f9f-c989-4f47-9842-3d74c469d9cd.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| (In millions) | 2019 vs. 2018 | 2018 vs. 2017 |\n| --- | --- | --- |\n| Net sales | $ (137.2) | $ (43.4) |\n| Cost of sales | 98.4 | 31.7 |\n| Selling, general and administrative expenses | 16.3 | 1.0 |\n| Net earnings | (15.7) | (8.2) |\n| Non-U.S. GAAP Adjusted EBITDA | (25.3) | (11.1) |" + } + ] + }, + { + "id": "table_recognition_train_item_50126", + "image": "table_instructV/images/TAT-QA_bd7ef49b-2791-487a-b3e7-3288acf231c5.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| | Year-ended 31 March 2019 | Year-ended 31 March 2018 Restated See note 2 |\n| --- | --- | --- |\n| | $M | $M |\n| Current income tax: | | |\n| UK corporation tax | 1.3 | 1.2 |\n| Adjustments in respect of previous years UK tax | 0.3 | 0.3 |\n| Overseas tax before exceptional items | 22.2 | 23.0 |\n| Adjustment in respect of previous years | 13.1 | 10.2 |\n| Total current tax charge | 36.9 | 34.7 |\n| Deferred tax: | | |\n| Origination and reversal of temporary differences | 2.5 | (16.7) |\n| Impact of changes in US tax rate | - | 5.4 |\n| Adjustment in respect of previous years | (12.7) | (3.5) |\n| Total deferred tax credit | (10.2) | (14.8) |\n| Total income tax charge | 26.7 | 19.9 |" + } + ] + }, + { + "id": "table_recognition_train_item_32802", + "image": "table_instructV/images/TABMWP_22319.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| | Argentina | Brazil |\n| --- | --- | --- |\n| 80 points | 1 | 2 |\n| 85 points | 4 | 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_56778", + "image": "table_instructV/images/TabFact_2-15873014-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 31 | january 3 | atlanta | w 108 - 97 (ot) | mike james (28) | chris bosh (10) | mike james (6) | philips arena 10048 | 9 - 22 |\n| 32 | january 4 | orlando | w 121 - 97 (ot) | charlie villanueva (24) | rafael araújo (9) | mike james (7) | air canada centre 14085 | 10 - 22 |\n| 33 | january 6 | houston | w 112 - 92 (ot) | mike james (30) | chris bosh (16) | mike james (8) | air canada centre 17460 | 11 - 22 |\n| 34 | january 8 | new jersey | l 104 - 105 (ot) | chris bosh (27) | matt bonner (8) | mike james (7) | air canada centre 18935 | 11 - 23 |\n| 35 | january 9 | chicago | l 104 - 113 (ot) | chris bosh (26) | matt bonner (9) | mike james (13) | united center 21103 | 11 - 24 |\n| 36 | january 11 | charlotte | w 95 - 86 (ot) | chris bosh (29) | morris peterson (11) | mike james (7) | air canada centre 14098 | 12 - 24 |\n| 37 | january 15 | new york | w 129 - 103 (ot) | jalen rose (31) | chris bosh , charlie villanueva (6) | josé calderón (10) | air canada centre 17393 | 13 - 24 |\n| 38 | january 17 | utah | l 98 - 111 (ot) | chris bosh (27) | matt bonner , chris bosh (6) | josé calderón , mike james (3) | delta center 17831 | 13 - 25 |\n| 39 | january 18 | portland | l 94 - 96 (ot) | jalen rose (23) | chris bosh (9) | mike james (7) | rose garden 12315 | 13 - 26 |\n| 40 | january 20 | seattle | w 121 - 113 (ot) | chris bosh (29) | chris bosh (13) | jalen rose (7) | keyarena 15261 | 14 - 26 |\n| 41 | january 22 | la lakers | l 104 - 122 (ot) | mike james (26) | chris bosh (8) | mike james (10) | staples center 18997 | 14 - 27 |\n| 42 | january 23 | denver | l 101 - 107 (ot) | mike james (22) | matt bonner (9) | chris bosh , mike james (4) | pepsi center 14826 | 14 - 28 |\n| 43 | january 25 | chicago | l 88 - 104 (ot) | chris bosh (20) | chris bosh (7) | mike james (7) | air canada centre 14198 | 14 - 29 |\n| 44 | january 27 | milwaukee | l 87 - 108 (ot) | chris bosh (21) | charlie villanueva (6) | josé calderón (7) | bradley center 14867 | 14 - 30 |\n| 45 | january 29 | sacramento | w 124 - 123 (ot) | morris peterson (23) | morris peterson (10) | josé calderón (5) | air canada centre 16573 | 15 - 30 |" + } + ] + }, + { + "id": "table_recognition_train_item_31772", + "image": "table_instructV/images/TABMWP_11020.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $585 | 14,200 | 4,700 |\n| $665 | 11,200 | 5,300 |\n| $745 | 8,200 | 5,900 |\n| $825 | 5,200 | 6,500 |\n| $905 | 2,200 | 7,100 |" + } + ] + }, + { + "id": "table_recognition_train_item_106417", + "image": "table_instructV/images/ToTTo_train_table_26987.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Win | 13–6 | Jeremy May | TKO (punches) | Island Fights 52 | February 7, 2019 | 1 | 3:18 | Pensacola, Florida, United States | |\n| Win | 12–6 | Frank Tate | TKO (punches) | Island Fights 51 | December 21, 2018 | 1 | 4:05 | Pensacola, Florida, United States | |\n| Loss | 11–6 | Augusto Sakai | TKO (punches) | UFC Fight Night: Santos vs. Anders | September 22, 2018 | 3 | 4:03 | São Paulo, Brazil | |\n| Loss | 11–5 | Justin Willis | Decision (unanimous) | UFC Fight Night: Barboza vs. Lee | April 21, 2018 | 3 | 5:00 | Atlantic City, New Jersey, United States | |\n| Loss | 11–4 | Shamil Abdurakhimov | KO (punch) | UFC Fight Night: Bisping vs. Gastelum | November 25, 2017 | 1 | 1:24 | Shanghai, China | |\n| Win | 11–3 | Damian Grabowski | Decision (unanimous) | UFC on Fox: Weidman vs. Gastelum | July 22, 2017 | 3 | 5:00 | Uniondale, New York, United States | |\n| Win | 10–3 | Rashad Coulter | KO (elbow) | UFC 211 | May 13, 2017 | 2 | 3:36 | Dallas, Texas, United States | Fight of the Night. |\n| Loss | 9–3 | Walt Harris | KO (knee and punch) | UFC Fight Night: Rodríguez vs. Penn | January 15, 2017 | 2 | 2:41 | Phoenix, Arizona, United States | |\n| Loss | 9–2 | Justin Ledet | Decision (unanimous) | UFC Fight Night: Rodríguez vs. Caceres | August 6, 2016 | 3 | 5:00 | Salt Lake City, Utah, United States | |\n| Win | 9–1 | Jack May | TKO (leg injury) | Titan FC 38 | April 30, 2016 | 1 | 0:56 | Miami, Florida, United States | |\n| Win | 8–1 | Sammy Collingwood | KO (punches) | Island Fights 37 | March 11, 2016 | 1 | 1:03 | Pensacola, Florida, United States | |\n| Win | 7–1 | Russ Johnson | KO (punch) | FFI: Blood and Sand 17 | June 27, 2015 | 1 | 1:40 | Biloxi, Mississippi, United States | |\n| Win | 6–1 | Brad Johnson | TKO (punches) | FFI: Blood and Sand 16 | March 14, 2015 | 1 | 1:00 | Biloxi, Mississippi, United States | |\n| Loss | 5–1 | Alex Nicholson | TKO (punches) | Island Fights 31 | December 5, 2014 | 1 | N/A | Pensacola, Florida, United States | |\n| Win | 5–0 | Wes Little | TKO (punches) | FFI: Blood and Sand 15 | November 1, 2014 | 1 | 4:00 | Biloxi, Mississippi, United States | |\n| Win | 4–0 | Alex Rozman | TKO (leg kick) | Island Fights 30 | November 1, 2014 | 1 | N/A | Pensacola, Florida, United States | |\n| Win | 3–0 | Justin Thornton | TKO (punches) | Island Fights 28 | May 9, 2014 | 1 | 1:01 | Pensacola, Florida, United States | |\n| Win | 2–0 | Chris Jensen | TKO (punches) | Atlas Fights: Battle on Mobile Bay | April 12, 2014 | 1 | 0:11 | Mobile, Alabama, United States | |\n| Win | 1–0 | Braxton Smith | TKO (punches) | V3 Fights: Johnson vs. Johnson | January 18, 2014 | 1 | 2:08 | Memphis, Tennessee, United States | |" + } + ] + }, + { + "id": "table_recognition_train_item_116817", + "image": "table_instructV/images/Rotowire_train_table_2751.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Warriors | Golden State | 108 | 30 | 28 | 24 | 26 | 28 | 37 | 14 | 48 | 91 | 26 | 53 | 13 | | | | |\n| Lakers | Los Angeles | 105 | 30 | 24 | 24 | 27 | 24 | 45 | 18 | 46 | 91 | 53 | 17 | 49 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Klay Thompson | 35 | 26 | 3 | 1 | 10-22 | 46% | 3-9 | 33% | 3-3 | 100% | 0 | 0 | 1 | 0 | 3 | 3 | G | Golden State |\n| Stephen Curry | 33 | 19 | 4 | 9 | 5-14 | 36% | 2-6 | 33% | 7-7 | 100% | 3 | 6 | 0 | 0 | 4 | 2 | G | Golden State |\n| Draymond Green | 34 | 16 | 8 | 3 | 7-14 | 50% | 1-5 | 20% | 1-1 | 100% | 5 | 3 | 1 | 1 | 7 | 5 | F | Golden State |\n| Harrison Barnes | 23 | 11 | 2 | 2 | 3-8 | 38% | 1-4 | 25% | 4-4 | 100% | 1 | 0 | 1 | 1 | 1 | 1 | F | Golden State |\n| Andrew Bogut | 31 | 8 | 7 | 3 | 4-6 | 67% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 1 | 2 | 5 | 3 | C | Golden State |\n| Andre Iguodala | 31 | 8 | 2 | 6 | 4-7 | 57% | 0-1 | 0% | 0-0 | 0% | 2 | 1 | 1 | 0 | 2 | 1 | N/A | Golden State |\n| Shaun Livingston | 18 | 6 | 2 | 4 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 1 | 1 | 2 | N/A | Golden State |\n| Festus Ezeli | 8 | 6 | 3 | 0 | 2-3 | 67% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 1 | 2 | 1 | 0 | N/A | Golden State |\n| David Lee | 12 | 5 | 2 | 0 | 1-2 | 50% | 0-0 | 0% | 3-4 | 75% | 0 | 0 | 0 | 0 | 2 | 3 | N/A | Golden State |\n| Justin Holiday | 11 | 3 | 2 | 0 | 1-3 | 33% | 0-2 | 0% | 1-2 | 50% | 3 | 1 | 0 | 0 | 2 | 1 | N/A | Golden State |\n| James Michael McAdoo | 5 | 0 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 2 | 0 | N/A | Golden State |\n| Leandro Barbosa | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Marreese Speights | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Lakers | | | | | | | | | | | | | | | | | | |\n| Wayne Ellington | 30 | 17 | 1 | 1 | 6-13 | 46% | 3-5 | 60% | 2-2 | 100% | 1 | 0 | 0 | 1 | 0 | 0 | G | Los Angeles |\n| Jordan Clarkson | 25 | 17 | 6 | 3 | 7-13 | 54% | 1-2 | 50% | 2-2 | 100% | 2 | 3 | 0 | 2 | 4 | 2 | G | Los Angeles |\n| Wesley Johnson | 39 | 16 | 5 | 4 | 7-12 | 58% | 2-2 | 100% | 0-0 | 0% | 2 | 3 | 0 | 0 | 5 | 2 | F | Los Angeles |\n| Jordan Hill | 30 | 15 | 12 | 5 | 6-14 | 43% | 1-1 | 100% | 2-2 | 100% | 3 | 1 | 0 | 1 | 11 | 3 | F | Los Angeles |\n| Jeremy Lin | 23 | 15 | 1 | 4 | 3-8 | 38% | 1-3 | 33% | 8-10 | 80% | 1 | 5 | 2 | 1 | 0 | 4 | N/A | Los Angeles |\n| Carlos Boozer | 24 | 10 | 9 | 2 | 5-12 | 42% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 4 | 5 | 4 | N/A | Los Angeles |\n| Jabari Brown | 20 | 5 | 0 | 1 | 2-4 | 50% | 0-1 | 0% | 1-1 | 100% | 1 | 2 | 0 | 0 | 0 | 0 | N/A | Los Angeles |\n| Tarik Black | 18 | 4 | 5 | 1 | 1-3 | 33% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 1 | 4 | 2 | C | Los Angeles |\n| Ed Davis | 18 | 4 | 4 | 3 | 1-2 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 2 | 3 | 0 | 4 | 0 | N/A | Los Angeles |\n| Ryan Kelly | 13 | 2 | 2 | 0 | 1-4 | 25% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Los Angeles |\n| Robert Sacre | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Kobe Bryant | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Nick Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |" + } + ] + }, + { + "id": "table_recognition_train_item_64204", + "image": "table_instructV/images/TabFact_2-18225689-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| atomic property | helium | neon | argon | krypton | xenon | radon |\n| --- | --- | --- | --- | --- | --- | --- |\n| atomic number | 2 | 10 | 18 | 36 | 54 | 86 |\n| relative atomic mass | 4.002602 (2) | 20.1797 (6) | 39.948 (1) | 83.80 (1) | 131.29 (2) | (222) |\n| number of natural s isotope | 2 | 3 | 3 | 6 | 9 | (1) |\n| outer shell electron configuration | 1s 2 | 2s 2 2p 6 | 3s 2 3p 6 | 4s 2 4p 6 | 5s 2 5p 6 | 6s 2 6p 6 |\n| atomic radius ( pm ) | 130 | 160 | 192 | 198 | 218 | - |\n| ionization energy (kj / mol) | 2372 | 2080 | 1520 | 1351 | 1170 | 1037 |\n| static polarizability (å 3 ) | 0.204 | 0.392 | 1.63 | 2.465 | 4.01 | - |\n| average valence electron energy (avee) | 4.16 | 4.79 | 3.24 | 2.97 | 2.58 | - |" + } + ] + }, + { + "id": "table_recognition_train_item_32542", + "image": "table_instructV/images/TABMWP_19077.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Gem color | Change in points |\n| --- | --- |\n| Green | 25 |\n| Red | -40 |" + } + ] + }, + { + "id": "table_recognition_train_item_105457", + "image": "table_instructV/images/ToTTo_train_table_22869.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| Year | Title | Role |\n| --- | --- | --- |\n| 1986 | Little Shop of Horrors | Audrey II |" + } + ] + }, + { + "id": "table_recognition_train_item_100188", + "image": "table_instructV/images/ToTTo_train_table_777.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | 20–10 | Adam Piccolotti | Decision (unanimous) | Bellator 206 | September 29, 2018 | 3 | 5:00 | San Jose, California United States | |\n| Win | 20–9 | Don Mohammed | Decision (unanimous) | Bellator 199 | May 12, 2018 | 3 | 5:00 | San Jose, California United States | Catchweight (165 lbs) bout. |\n| Win | 19–9 | JC Llamas | Decision (technical) | Bellator 172 | February 18, 2017 | 3 | 0:37 | San Jose, California United States | |\n| Win | 18–9 | Justin Baesman | Decision (unanimous) | Bellator 165 | November 19, 2016 | 3 | 5:00 | San Jose, California United States | |\n| Win | 17–9 | Buddy Wallace | Decision (unanimous) | Conquer Fighting Championships 2 | April 30, 2016 | 3 | 5:00 | Richmond, California United States | |\n| Loss | 16–9 | Nick Barnes | Submission (rear-naked choke) | Bellator 147 | December 4, 2015 | 1 | 2:48 | San Jose, California United States | Catchweight (175 lbs) bout. |\n| Win | 16–8 | Carlos Eduardo Rocha | TKO (punches) | Bellator 142: Dynamite 1 | September 19, 2015 | 1 | 4:00 | San Jose, California United States | |\n| Win | 15–8 | Chris Herrera | TKO (punches) | DH: Dragon House 20 | June 6, 2015 | 1 | 0:33 | San Francisco, California, United States | |\n| Loss | 14–8 | André Santos | Decision (unanimous) | Bellator 129 | October 17, 2014 | 3 | 5:00 | Council Bluffs, Iowa, United States | |\n| Win | 14–7 | Daniel McWilliams | TKO (punches) | 408 Fights: Battle of the Bay 3 | July 19, 2014 | 1 | N/A | San Jose, California, United States | |\n| Loss | 13–7 | Rick Reeves | Decision (split) | Bellator 115 | April 4, 2014 | 3 | 5:00 | Reno, Nevada, United States | |\n| Win | 13–6 | Sam Liera | TKO (punches) | Arise Fighting Championships | November 30, 2013 | 3 | 2:26 | Santa Clara, California, United States | |\n| Win | 12–6 | Marcus Gaines | TKO (punches) | Dragon House MMA 15 | November 2, 2013 | 1 | 0:12 | San Francisco, California, United States | Return to Welterweight. |\n| Loss | 11–6 | Mike de la Torre | Submission (rear-naked choke) | Arise Fighting Championships | June 15, 2013 | 1 | 0:57 | Santa Clara, California, United States | |\n| Loss | 11–5 | Bobby Green | Decision (split) | Strikeforce: Barnett vs. Cormier | May 19, 2012 | 3 | 5:00 | San Jose, California, United States | Return to Lightweight. |\n| Loss | 11–4 | Nah-Shon Burrell | Decision (split) | Strikeforce: Rockhold vs. Jardine | January 7, 2012 | 3 | 5:00 | Las Vegas, Nevada, United States | Welterweight bout. |\n| Win | 11–3 | Magno Almeida | KO (punches) | Strikeforce Challengers: Larkin vs. Rossborough | September 23, 2011 | 1 | 3:21 | Las Vegas, Nevada, United States | |\n| Loss | 10–3 | Caros Fodor | Decision (unanimous) | Strikeforce Challengers: Fodor vs. Terry | June 24, 2011 | 3 | 5:00 | Kent, Washington, United States | Lightweight debut. |\n| Win | 10–2 | Josh Thornburg | KO (punch) | Strikeforce Challengers: Wilcox vs. Damm | April 1, 2011 | 1 | 4:38 | Stockton, California, United States | Catchweight (165 lbs) bout. |\n| Win | 9–2 | Lucas Gamaza | TKO (punches) | Strikeforce: Diaz vs. Cyborg | January 29, 2011 | 1 | 3:26 | San Jose, California, United States | |\n| Win | 8–2 | David Marshall | Decision (unanimous) | Strikeforce: Diaz vs. Noons II | October 9, 2010 | 3 | 5:00 | San Jose, California, United States | |\n| Loss | 7–2 | Tarec Saffiedine | Decision (unanimous) | Strikeforce Challengers: Kaufman vs. Hashi | February 26, 2010 | 3 | 5:00 | San Jose, California, United States | |\n| Win | 7–1 | Zak Bucia | TKO (head kick and punches) | Strikeforce: Carano vs. Cyborg | August 15, 2009 | 1 | 1:23 | San Jose, California, United States | |\n| Win | 6–1 | Zak Bucia | Decision (unanimous) | Strikeforce: Shamrock vs. Diaz | April 11, 2009 | 3 | 5:00 | San Jose, California, United States | |\n| Loss | 5–1 | Jeremiah Metcalf | Submission (rear-naked choke) | CCFC: Mayhem | May 17, 2008 | 2 | 1:47 | Santa Rosa, California, United States | |\n| Win | 5–0 | Josh Hinkle | Decision (split) | CCFC: Undefeated | October 6, 2007 | 3 | 5:00 | Santa Rosa, California, United States | |\n| Win | 4–0 | Jack Montgomery | Decision (unanimous) | CCFC: Total Elimination | May 12, 2007 | 3 | 5:00 | Santa Rosa, California, United States | |\n| Win | 3–0 | Tony Juarez | TKO (corner stoppage) | CCFC: Judgment Day | February 17, 2007 | 1 | 2:10 | Santa Rosa, California, United States | |\n| Win | 2–0 | Josh McDonald | Decision (unanimous) | CCFC: Throwdown at The Pavilion | November 4, 2006 | 3 | 5:00 | Santa Rosa, California, United States | |\n| Win | 1–0 | Josh Hayes | Decision (unanimous) | Warrior Cup 1 | August 12, 2006 | 3 | 5:00 | Stockton, California, United States | |" + } + ] + }, + { + "id": "table_recognition_train_item_69712", + "image": "table_instructV/images/TabFact_1-1341423-32.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| district | incumbent | party | first elected | results | candidates |\n| --- | --- | --- | --- | --- | --- |\n| new york 3 | peter king | republican | 1992 | re - elected | peter king (r) 60% dal lamagna (d) 40% |\n| new york 4 | carolyn mccarthy | democratic | 1996 | re - elected | carolyn mccarthy (d) 61% gregory becker (r) 39% |\n| new york 5 | gary ackerman | democratic | 1983 | re - elected | gary ackerman (d) 68% edward elkowitz (r) 31% |\n| new york 6 | gregory w meeks | democratic | 1998 | re - elected | gregory w meeks (d) unopposed |\n| new york 9 | anthony weiner | democratic | 1998 | re - elected | anthony weiner (d) 68% noach dear (r) 32% |\n| new york 10 | ed towns | democratic | 1982 | re - elected | ed towns (d) 90% ernestine brown (r) 6% |\n| new york 11 | major owens | democratic | 1982 | re - elected | major owens (d) 88% susan cleary (r) 7% |\n| new york 12 | nydia velazquez | democratic | 1992 | re - elected | nydia velazquez (d) 86% rosemarie markgraf (r) 12% |\n| new york 13 | vito fossella | republican | 1997 | re - elected | vito fossella (r) 65% katina johnstone (d) 34% |\n| new york 16 | jose serrano | democratic | 1990 | re - elected | jose serrano (d) 96% aaron justice (r) 4% |\n| new york 17 | eliot engel | democratic | 1988 | re - elected | eliot engel (d) 89% patrick mcmanus (r) 11% |\n| new york 18 | nita lowey | democratic | 1988 | re - elected | nita lowey (d) 67% john vonglis (r) 32% |\n| new york 20 | benjamin gilman | republican | 1972 | re - elected | benjamin gilman (r) 58% paul feiner (d) 41% |\n| new york 21 | mike mcnulty | democratic | 1988 | re - elected | mike mcnulty (d) 74% thomas pillsworth (r) 26% |\n| new york 22 | john sweeney | republican | 1998 | re - elected | john sweeney (r) 69% kenneth mccallion (d) 31% |\n| new york 24 | john mchugh | republican | 1992 | re - elected | john mchugh (r) 75% neil tallon (d) 23% |\n| new york 26 | maurice hinchey | democratic | 1992 | re - elected | maurice hinchey (d) 62% bob moppert (r) 38% |\n| new york 27 | tom reynolds | republican | 1998 | re - elected | tom reynolds (r) 70% thomas pecoraro (d) 30% |\n| new york 29 | john lafalce | democratic | 1974 | re - elected | john lafalce (d) 61% brett sommer (r) 39% |\n| new york 30 | jack quinn | republican | 1992 | re - elected | jack quinn (r) 67% john fee (d) 33% |" + } + ] + }, + { + "id": "table_recognition_train_item_57174", + "image": "table_instructV/images/TabFact_2-17438338-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| tie no | home team | score | away team | date |\n| --- | --- | --- | --- | --- |\n| 1 | southampton | 1 - 2 | barnsley | 4 march 1985 |\n| 2 | blackburn rovers | 0 - 2 | manchester united | 15 february 1985 |\n| 3 | luton town | 0 - 0 | watford | 4 march 1985 |\n| replay | watford | 2 - 2 | luton town | 6 march 1985 |\n| replay | luton town | 1 - 0 | watford | 9 march 1985 |\n| 4 | everton | 3 - 0 | telford united | 16 february 1985 |\n| 5 | ipswich town | 3 - 2 | sheffield wednesday | 4 march 1985 |\n| 6 | millwall | 2 - 0 | leicester city | 19 february 1985 |\n| 7 | wimbledon | 1 - 1 | west ham united | 4 march 1985 |\n| replay | west ham united | 5 - 1 | wimbledon | 6 march 1985 |\n| 8 | york city | 1 - 1 | liverpool | 16 february 1985 |\n| replay | liverpool | 7 - 0 | york city | 20 february 1985 |" + } + ] + }, + { + "id": "table_recognition_train_item_55478", + "image": "table_instructV/images/TabFact_1-20360535-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| no | - | title | directed by | written by | original air date | production code | television order |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 27 | 1 | long arm of the law! | ben jones | james krieg | december 11 , 2009 | 201 | s02e01 |\n| 28 | 2 | revenge of the reach! | michael chang | j m dematteis | january 1 , 2010 | 202 | s02e02 |\n| 29 | 3 | death race to oblivion! | michael goguen | greg weisman | november 20 , 2009 | 203 | s02e03 |\n| 30 | 4 | aquaman 's outrageous adventure! | ben jones | steven melching | january 8 , 2010 | 204 | s02e04 |\n| 31 | 5 | the golden age of justice! | michael chang | todd casey | january 15 , 2010 | 205 | s02e05 |\n| 32 | 6 | clash of the metal men! | michael goguen | dean stefan | january 29 , 2010 | 206 | s02e06 |\n| 33 | 7 | a bat divided! | ben jones | thomas pugsley | february 5 , 2010 | 207 | s02e07 |\n| 34 | 8 | sidekicks assemble! | michael chang | marsha f griffin | january 22 , 2010 | 208 | s02e08 |\n| 35 | 9 | the super - batman of planet x! | michael goguen | adam beechen | march 26 , 2010 | 209 | s02e09 |\n| 36 | 10 | the power of shazam! | ben jones | steven melching | april 2 , 2010 | 210 | s02e10 |\n| 37 | 11 | chill of the night! | michael chang | paul dini | april 9 , 2010 | 211 | s02e11 |\n| 38 | 12 | gorillas in our midst! | michael goguen | todd casey | april 16 , 2010 | 212 | s02e12 |\n| 39 | 13 | the siege of starro! part one | ben jones | joseph kuhr | june 13 , 2010 september 17 , 2010 | 213 | s02e13 |\n| 40 | 14 | requiem for a scarlet speedster! | michael chang | greg weisman | may 29 , 2010 october 1 , 2010 | 214 | s02e14 |\n| 41 | 15 | the siege of starro! part two | michael goguen | joseph kuhr | september 24 , 2010 | 215 | s02e15 |\n| 42 | 16 | the last patrol! | ben jones | j m dematteis | september 18 , 2010 october 8 , 2010 | 216 | s02e16 |\n| 43 | 17 | the mask of matches malone! | michael chang | gail simone | september 25 , 2010 december 5 , 2011 (itunes) | 217 | s02e17 |\n| 44 | 18 | menace of the madniks! | michael goguen | jim krieg | october 2 , 2010 october 15 , 2010 | 218 | s02e18 |\n| 45 | 19 | emperor joker! | ben jones | steven melching | october 9 , 2010 october 22 , 2010 | 219 | s02e19 |\n| 46 | 20 | the criss cross conspiracy! | michael chang | marsha griffin | october 29 , 2010 october 30 , 2010 | 220 | s02e20 |\n| 47 | 21 | the plague of the prototypes! | michael goguen | dean stephan | november 5 , 2010 | 221 | s02e21 |\n| 48 | 22 | cry freedom fighters! | ben jones | thomas pugsley & steven melching | november 12 , 2010 | 222 | s02e22 |\n| 49 | 23 | the knights of tomorrow! | michael chang | todd casey & jake black | november 19 , 2010 | 223 | s02e23 |\n| 50 | 24 | darkseid descending! | michael goguen | paul giacoppo | december 3 , 2010 | 224 | s02e24 |\n| 51 | 25 | bat - mite presents : batman 's strangest cases! | ben jones | paul dini | january 19 , 2011 april 1 , 2011 | 225 | s02e25 |" + } + ] + }, + { + "id": "table_recognition_train_item_34473", + "image": "table_instructV/images/TABMWP_4138.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 10 | 16 |\n| 11 | 8 |\n| 12 | 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_35460", + "image": "table_instructV/images/TABMWP_34448.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| | Correctly placed | Incorrectly placed |\n| --- | --- | --- |\n| Plastic #2 | 6 | 5 |\n| Plastic #4 | 6 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_118083", + "image": "table_instructV/images/Rotowire_train_table_3384.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Timberwolves | Minnesota | 100 | 24 | 25 | 31 | 20 | 21 | 31 | 9 | 47 | 77 | 40 | 9 | 15 | | | | |\n| Nuggets | Denver | 112 | 27 | 36 | 29 | 20 | 24 | 39 | 14 | 56 | 74 | 56 | 11 | 14 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Andrew Wiggins | 34 | 23 | 1 | 1 | 9-17 | 53% | 1-1 | 100% | 4-5 | 80% | 0 | 3 | 1 | 0 | 1 | 3 | F | Minnesota |\n| Zach LaVine | 25 | 20 | 4 | 5 | 8-18 | 44% | 1-3 | 33% | 3-4 | 75% | 1 | 2 | 1 | 1 | 3 | 1 | N/A | Minnesota |\n| Karl-Anthony Towns | 28 | 18 | 6 | 1 | 5-7 | 71% | 0-0 | 0% | 8-8 | 100% | 1 | 0 | 2 | 4 | 2 | 4 | C | Minnesota |\n| Ricky Rubio | 30 | 13 | 4 | 9 | 3-6 | 50% | 2-3 | 67% | 5-6 | 83% | 0 | 1 | 0 | 0 | 4 | 1 | G | Minnesota |\n| Kevin Garnett | 13 | 6 | 4 | 0 | 2-3 | 67% | 0-0 | 0% | 2-2 | 100% | 1 | 0 | 0 | 1 | 3 | 2 | F | Minnesota |\n| Adreian Payne | 4 | 5 | 1 | 0 | 2-2 | 100% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Minnesota |\n| Gorgui Dieng | 23 | 4 | 9 | 1 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 1 | 2 | 7 | 4 | N/A | Minnesota |\n| Shabazz Muhammad | 14 | 3 | 0 | 0 | 1-5 | 20% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 0 | 0 | 0 | 0 | N/A | Minnesota |\n| Andre Miller | 9 | 2 | 0 | 1 | 1-3 | 33% | 0-0 | 0% | 0-2 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Minnesota |\n| Tayshaun Prince | 12 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Minnesota |\n| Kevin Martin | 22 | 2 | 0 | 3 | 1-8 | 13% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | G | Minnesota |\n| Nemanja Bjelica | 17 | 2 | 2 | 0 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 1 | 2 | 0 | 3 | N/A | Minnesota |\n| Damjan Rudez | 11 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Minnesota |\n| Nuggets | | | | | | | | | | | | | | | | | | |\n| Kenneth Faried | 28 | 19 | 10 | 1 | 7-12 | 58% | 0-0 | 0% | 5-8 | 63% | 0 | 0 | 3 | 3 | 7 | 5 | F | Denver |\n| Randy Foye | 25 | 19 | 2 | 2 | 7-9 | 78% | 5-6 | 83% | 0-0 | 0% | 2 | 1 | 0 | 0 | 2 | 1 | N/A | Denver |\n| Danilo Gallinari | 28 | 15 | 3 | 5 | 3-7 | 43% | 1-2 | 50% | 8-11 | 73% | 0 | 1 | 0 | 1 | 2 | 2 | F | Denver |\n| Will Barton | 31 | 14 | 7 | 5 | 5-11 | 46% | 1-2 | 50% | 3-4 | 75% | 0 | 3 | 0 | 2 | 5 | 3 | N/A | Denver |\n| Joffrey Lauvergne | 16 | 11 | 7 | 1 | 4-5 | 80% | 1-1 | 100% | 2-2 | 100% | 0 | 2 | 0 | 1 | 6 | 2 | C | Denver |\n| Jameer Nelson | 23 | 10 | 3 | 4 | 4-7 | 57% | 2-3 | 67% | 0-0 | 0% | 2 | 2 | 0 | 0 | 3 | 4 | G | Denver |\n| Kostas Papanikolaou | 20 | 8 | 2 | 2 | 3-6 | 50% | 0-1 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 2 | 3 | N/A | Denver |\n| Darrell Arthur | 15 | 6 | 0 | 0 | 3-6 | 50% | 0-1 | 0% | 0-0 | 0% | 2 | 1 | 1 | 0 | 0 | 1 | N/A | Denver |\n| Nikola Jokic | 21 | 6 | 3 | 2 | 3-4 | 75% | 0-0 | 0% | 0-0 | 0% | 2 | 2 | 2 | 2 | 1 | 3 | N/A | Denver |\n| Gary Harris | 24 | 4 | 2 | 0 | 2-5 | 40% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 1 | G | Denver |\n| Mike Miller | 10 | 0 | 0 | 2 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 1 | N/A | Denver |\n| JJ Hickson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |" + } + ] + }, + { + "id": "table_recognition_train_item_52130", + "image": "table_instructV/images/TabFact_2-12280777-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| 7:00 | 7:30 | 8:00 | 8:30 | 9:00 | 9:30 | 10:00 |\n| --- | --- | --- | --- | --- | --- | --- |\n| coronation street | who do you think you are | the nature of things | the nature of things | doc zone | doc zone | the national |\n| etalk | jeopardy! | csi | csi | grey 's anatomy | grey 's anatomy | er |\n| et canada | entertainment tonight | survivor : china | survivor : china | the office | my name is earl | shark |\n| wheel of fortune | e2 | scrubs | 30 rock | don't forget the lyrics! | don't forget the lyrics! | big shots |\n| friends | access hollywood | ugly betty | ugly betty | supernatural | supernatural | terminal city |\n| the insider | e! news | are you smarter than a 5th grader | are you smarter than a 5th grader | e! movies we love | e! movies we love | e! movies we love |\n| virginie | infoman | le moment de vérité | le moment de vérité | tous pour un | tous pour un | le téléjournal |\n| la fièvre de la danse | la fièvre de la danse | le banquier | le banquier | taxi 0 - 22 | taxi 0 - 22 | le tva 22 heures |\n| loft story | criss angel | movies | movies | movies | movies | le journal du soir |" + } + ] + }, + { + "id": "table_recognition_train_item_50220", + "image": "table_instructV/images/TAT-QA_1e712660-7b78-4791-8264-e517efde2e62.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| | Number of Shares | Weighted Average Grant Date Fair Value |\n| --- | --- | --- |\n| Nonvested as of December 31, 2018 | 651,045 | $23.82 |\n| Granted | 742,579 | 33.28 |\n| Vested | -259,634 | 24.16 |\n| Forfeited | -124,586 | 29.79 |\n| Nonvested as of December 31, 2019 | 1,009,404 | $ 29.96 |" + } + ] + }, + { + "id": "table_recognition_train_item_52150", + "image": "table_instructV/images/TabFact_2-10808346-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| home team | home team score | away team | away team score | venue | crowd | date |\n| --- | --- | --- | --- | --- | --- | --- |\n| footscray | 10.11 (71) | south melbourne | 6.14 (50) | western oval | 7500 | 26 june 1943 |\n| collingwood | 10.21 (81) | melbourne | 13.9 (87) | victoria park | 5000 | 26 june 1943 |\n| carlton | 15.16 (106) | fitzroy | 9.13 (67) | princes park | 12000 | 26 june 1943 |\n| richmond | 15.16 (106) | hawthorn | 8.14 (62) | punt road oval | 16000 | 26 june 1943 |\n| st kilda | 15.8 (98) | essendon | 20.19 (139) | toorak park | 6000 | 26 june 1943 |" + } + ] + }, + { + "id": "table_recognition_train_item_108233", + "image": "table_instructV/images/ToTTo_train_table_34621.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Year | Title | Label |\n| --- | --- | --- |\n| 2007 | Crossing the Rubicon (EP) | Out of Print |\n| 2008 | It Don't Mean I Don't Love You | self-released |\n| 2010 | Young Blood Blues | self-released |\n| 2011 | Hurray for the Riff Raff | Loose Music |\n| 2012 | Live at 2012 New Orleans Jazz & Heritage Festival | |\n| 2012 | Look Out Mama | Born to Win Records / Loose Music |\n| 2013 | My Dearest Darkest Neighbor | Mod Mobilian Records/This Is American Music |\n| 2014 | Small Town Heroes | ATO Records |\n| 2017 | The Navigator | ATO Records |" + } + ] + }, + { + "id": "table_recognition_train_item_59990", + "image": "table_instructV/images/TabFact_2-15419691-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| outcome | date | championship | surface | partner | opponents in the final | score in the final |\n| --- | --- | --- | --- | --- | --- | --- |\n| winner | 24 september 1979 | madrid , spain | clay | carlos kirmayr | robin drysdale john feaver | 7 - 6 , 6 - 4 |\n| runner - up | 8 october 1979 | barcelona , spain | clay | carlos kirmayr | paolo bertolucci adriano panatta | 4 - 6 , 3 - 6 |\n| runner - up | 8 june 1981 | brussels , belgium | clay | carlos kirmayr | ricardo cano andrés gómez | 2 - 6 , 2 - 6 |\n| runner - up | 18 january 1982 | guarujá , brazil | clay | carlos kirmayr | phil dent kim warwick | 7 - 6 , 2 - 6 , 3 - 6 |\n| winner | 7 june 1982 | venice , italy | clay | carlos kirmayr | josé luis clerc ilie năstase | 6 - 4 , 6 - 2 |\n| runner - up | 4 october 1982 | barcelona , spain | clay | carlos kirmayr | anders järryd hans simonsson | 3 - 6 , 2 - 6 |\n| winner | 15 november 1982 | são paulo , brazil | clay | carlos kirmayr | peter mcnamara ferdi taygan | 6 - 3 , 6 - 1 |\n| winner | 4 april 1983 | lisbon , portugal | clay | carlos kirmayr | pavel složil ferdi taygan | 7 - 5 , 6 - 4 |\n| winner | 11 july 1983 | boston , us | clay | mark dickson | hans gildemeister belus prajoux | 7 - 5 , 6 - 3 |\n| winner | 18 july 1983 | washington , dc | clay | mark dickson | paul mcnamee ferdi taygan | 6 - 2 , 1 - 6 , 6 - 4 |\n| runner - up | 1 august 1983 | indianapolis , us | clay | carlos kirmayr | mark edmondson sherwood stewart | 3 - 6 , 2 - 6 |\n| runner - up | 15 august 1983 | cincinnati , us | hard | carlos kirmayr | victor amaya tim gullikson | 4 - 6 , 3 - 6 |\n| runner - up | 17 october 1983 | vienna , austria | carpet | marcos hocevar | mel purcell stan smith | 3 - 6 , 4 - 6 |\n| runner - up | 30 july 1984 | north conway , us | clay | blaine willenborg | brian gottfried tomáš šmíd | 4 - 6 , 2 - 6 |\n| winner | 22 april 1985 | marbella , spain | clay | andrés gómez | loïc courteau michiel schapers | 6 - 1 , 6 - 1 |\n| runner - up | 16 september 1985 | geneva , switzerland | clay | carlos kirmayr | sergio casal emilio sánchez | 4 - 6 , 6 - 4 , 5 - 7 |\n| winner | 26 january 1987 | guarujá , brazil | hard | luiz mattar | martin hipp tore meinecke | 7 - 6 , 6 - 1 |\n| winner | 10 july 1989 | gstaad , switzerland | clay | todd witsken | petr korda milan šrejber | 6 - 4 , 6 - 3 |\n| runner - up | 5 february 1990 | guarujá , brazil | hard | luiz mattar | javier frana gustavo luza | 6 - 7 , 6 - 7 |\n| runner - up | 16 march 1990 | miami , us | hard | boris becker | rick leach jim pugh | 4 - 6 , 6 - 3 , 3 - 6 |\n| winner | 29 april 1991 | madrid , spain | clay | gustavo luza | luiz mattar jaime oncins | 6 - 0 , 7 - 5 |\n| runner - up | 6 may 1991 | hamburg , germany | clay | danie visser | sergio casal emilio sánchez | 6 - 4 , 3 - 6 , 2 - 6 |\n| runner - up | 4 november 1991 | são paulo , brazil | hard | jorge lozano | andrés gómez jaime oncins | 5 - 7 , 4 - 6 |" + } + ] + }, + { + "id": "table_recognition_train_item_64990", + "image": "table_instructV/images/TabFact_1-29686983-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| round | country | circuit | date | pole position | fastest lap | winning rider | winning team | report |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | australia | phillip island grand prix circuit | 27 february | david salom | fabien foret | luca scassa | yamaha parkingo team | report |\n| 2 | united kingdom | donington park | 27 march | luca scassa | sam lowes | luca scassa | yamaha parkingo team | report |\n| 3 | netherlands | tt circuit assen | 17 april | luca scassa | luca scassa | chaz davies | yamaha parkingo team | report |\n| 4 | italy | autodromo nazionale monza | 8 may | chaz davies | chaz davies | chaz davies | yamaha parkingo team | report |\n| 5 | san marino | misano world circuit | 12 june | sam lowes | fabien foret | broc parkes | kawasaki motocardcom | report |\n| 6 | spain | motorland aragon | 19 june | broc parkes | sam lowes | chaz davies | yamaha parkingo team | report |\n| 7 | czech republic | masaryk circuit | 10 july | fabien foret | gino rea | gino rea | step racing team | report |\n| 8 | united kingdom | silverstone circuit | 31 july | david salom | robbin harms | chaz davies | yamaha parkingo team | report |\n| 9 | germany | nã¼rburgring | 4 september | fabien foret | james ellison | chaz davies | yamaha parkingo team | report |\n| 10 | italy | autodromo enzo e dino ferrari | 25 september | broc parkes | fabien foret | fabien foret | hannspree ten kate honda | report |\n| 11 | france | circuit de nevers magny - cours | 2 october | broc parkes | massimo roccoli | luca scassa | yamaha parkingo team | report |" + } + ] + }, + { + "id": "table_recognition_train_item_101341", + "image": "table_instructV/images/ToTTo_train_table_5658.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Name | Location | Area |\n| --- | --- | --- |\n| African Burial Ground National Monument | New York | 0.35 acres (0.0014 km2) |\n| Agate Fossil Beds National Monument | Nebraska | 3,057.87 acres (12.3748 km2) |\n| Alibates Flint Quarries National Monument | Texas | 1,370.97 acres (5.5481 km2) |\n| Aniakchak National Monument and Preserve | Alaska | 137,176 acres (555.13 km2) |\n| Aztec Ruins National Monument | New Mexico | 318.4 acres (1.289 km2) |\n| Bandelier National Monument | New Mexico | 33,676.67 acres (136.2846 km2) |\n| Belmont-Paul Women's Equality National Monument | District of Columbia | 0.34 acres (0.0014 km2) |\n| Birmingham Civil Rights National Monument | Alabama | 18.25 acres (0.0739 km2) |\n| Booker T. Washington National Monument | Virginia | 239.01 acres (0.9672 km2) |\n| Buck Island Reef National Monument | U.S. Virgin Islands | 19,015.47 acres (76.9529 km2) |\n| Cabrillo National Monument | California | 159.94 acres (0.6473 km2) |\n| Camp Nelson Heritage National Monument | Kentucky | 525 acres (2.12 km2) |\n| Canyon de Chelly National Monument | Arizona | 83,840 acres (339.3 km2) |\n| Cape Krusenstern National Monument and Archeological District | Alaska | 649,124.53 acres (2,626.9138 km2) |\n| Capulin Volcano National Monument | New Mexico | 792.84 acres (3.2085 km2) |\n| Casa Grande Ruins National Monument | Arizona | 472.5 acres (1.912 km2) |\n| Castillo de San Marcos National Monument | Florida | 19.38 acres (0.0784 km2) |\n| Castle Clinton National Monument | New York | 1 acre (0.0040 km2) |\n| Castle Mountains National Monument | California | 20,920 acres (84.7 km2) |\n| Cedar Breaks National Monument | Utah | 6,154.6 acres (24.907 km2) |\n| César E. Chávez National Monument | California | 116.56 acres (0.4717 km2) |\n| Charles Young Buffalo Soldiers National Monument | Ohio | 59.66 acres (0.2414 km2) |\n| Chiricahua National Monument | Arizona | 11,984.73 acres (48.5005 km2) |\n| Colorado National Monument | Colorado | 20,536.39 acres (83.1078 km2) |\n| Craters of the Moon National Monument and Preserve | Idaho | 53,571.05 acres (216.7943 km2) |\n| Devils Postpile National Monument | California | 798.46 acres (3.2313 km2) |\n| Devils Tower National Monument | Wyoming | 1,346.91 acres (5.4508 km2) |\n| Dinosaur National Monument | Utah, Colorado | 210,283.31 acres (850.9864 km2) |\n| Effigy Mounds National Monument | Iowa | 2,526.39 acres (10.2239 km2) |\n| El Malpais National Monument | New Mexico | 114,313.87 acres (462.6118 km2) |\n| El Morro National Monument | New Mexico | 1,278.72 acres (5.1748 km2) |\n| Florissant Fossil Beds National Monument | Colorado | 5,998.09 acres (24.2734 km2) |\n| Fort Frederica National Monument | Georgia | 284.49 acres (1.1513 km2) |\n| Fort Matanzas National Monument | Florida | 300.11 acres (1.2145 km2) |\n| Fort McHenry National Monument and Historic Shrine | Maryland | 43.26 acres (0.1751 km2) |\n| Fort Monroe National Monument | Virginia | 325.2 acres (1.316 km2) |\n| Fort Pulaski National Monument | Georgia | 5,623.1 acres (22.756 km2) |\n| Fort Stanwix National Monument | New York | 15.52 acres (0.0628 km2) |\n| Fort Union National Monument | New Mexico | 720.6 acres (2.916 km2) |\n| Fossil Butte National Monument | Wyoming | 8,198 acres (33.18 km2) |\n| Freedom Riders National Monument | Alabama | 7.83 acres (0.0317 km2) |\n| George Washington Birthplace National Monument | Virginia | 661.73 acres (2.6779 km2) |\n| George Washington Carver National Monument | Missouri | 210 acres (0.85 km2) |\n| Gila Cliff Dwellings National Monument | New Mexico | 533.13 acres (2.1575 km2) |\n| Governors Island National Monument | New York | 22.78 acres (0.0922 km2) |\n| Grand Canyon-Parashant National Monument | Arizona | NPS manages 208,453 acres (843.58 km2) of 1,048,325 acres (4,242.42 km2) |\n| Grand Portage National Monument | Minnesota | 709.97 acres (2.8731 km2) |\n| Hagerman Fossil Beds National Monument | Idaho | 4,351.15 acres (17.6085 km2) |\n| Hohokam Pima National Monument | Arizona | 1,690 acres (6.8 km2) |\n| Homestead National Monument of America | Nebraska | 211.09 acres (0.8543 km2) |\n| Hovenweep National Monument | Colorado, Utah | 784.93 acres (3.1765 km2) |\n| Jewel Cave National Monument | South Dakota | 1,273.51 acres (5.1537 km2) |\n| John Day Fossil Beds National Monument | Oregon | 14,062.02 acres (56.9070 km2) |\n| Katahdin Woods and Waters National Monument | Maine | 87,500 acres (354 km2) |\n| Lava Beds National Monument | California | 46,692.42 acres (188.9575 km2) |\n| Little Bighorn Battlefield National Monument | Montana | 765.34 acres (3.0972 km2) |\n| Montezuma Castle National Monument | Arizona | 1,015.52 acres (4.1097 km2) |\n| Muir Woods National Monument | California | 553.55 acres (2.2401 km2) |\n| Natural Bridges National Monument | Utah | 7,636.49 acres (30.9038 km2) |\n| Navajo National Monument | Arizona | 360 acres (1.5 km2) |\n| Oregon Caves National Monument and Preserve | Oregon | 4,487.98 acres (18.1622 km2) |\n| Organ Pipe Cactus National Monument | Arizona | 330,688.86 acres (1,338.2503 km2) |\n| Petroglyph National Monument | New Mexico | 7,209.3 acres (29.175 km2) |\n| Pipe Spring National Monument | Arizona | 40 acres (0.16 km2) |\n| Pipestone National Monument | Minnesota | 281.78 acres (1.1403 km2) |\n| Poverty Point National Monument | Louisiana | 910.85 acres (3.6861 km2) |\n| Pullman National Monument | Illinois | 300 acres (1.2 km2) |\n| Rainbow Bridge National Monument | Utah | 160 acres (0.65 km2) |\n| Russell Cave National Monument | Alabama | 310.45 acres (1.2563 km2) |\n| Salinas Pueblo Missions National Monument | New Mexico | 1,071.42 acres (4.3359 km2) |\n| Scotts Bluff National Monument | Nebraska | 3,004.81 acres (12.1600 km2) |\n| Statue of Liberty National Monument | New York, New Jersey | 60.86 acres (0.2463 km2) |\n| Stonewall National Monument | New York | 7.7 acres (0.031 km2) |\n| Sunset Crater Volcano National Monument | Arizona | 3,040 acres (12.3 km2) |\n| Timpanogos Cave National Monument | Utah | 250 acres (1.0 km2) |\n| Tonto National Monument | Arizona | 1,120 acres (4.5 km2) |\n| Tule Lake National Monument | California | |\n| Tule Springs Fossil Beds National Monument | Nevada | 22,650 acres (91.7 km2) |\n| Tuzigoot National Monument | Arizona | 811.89 acres (3.2856 km2) |\n| Virgin Islands Coral Reef National Monument | U.S. Virgin Islands | 12,708.07 acres (51.4277 km2) |\n| Waco Mammoth National Monument | Texas | 5 acres (0.020 km2) |\n| Walnut Canyon National Monument | Arizona | 3,529.26 acres (14.2824 km2) |\n| White Sands National Monument | New Mexico | 143,733.25 acres (581.6678 km2) |\n| Wupatki National Monument | Arizona | 35,422.13 acres (143.3483 km2) |\n| Yucca House National Monument | Colorado | 33.87 acres (0.1371 km2) |" + } + ] + }, + { + "id": "table_recognition_train_item_52236", + "image": "table_instructV/images/TabFact_2-15463188-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| name | position | number | season | acquisition via |\n| --- | --- | --- | --- | --- |\n| edwin bacani | guard | 88 | 2006 | trade |\n| froilan baguion | guard | 17 | 2008 | free agency |\n| estong ballesteros | forward | 16 | 2002 | free agency |\n| bryant basemore | guard | 8 | 2002 | import |\n| nic belasco | forward | 3 , 33 | 2008 - 2009 , 2012 | trade , free agency |\n| rashard bell | forward | 1 , 3 | 2007 , 2010 | import |\n| chris bolado | center | 24 | 2002 - 2003 | free agency |\n| ken bono | center | 7 | 2009 - 2010 | trade |\n| lawrence bonus | center | 10 | 2008 - 2009 | free agency |\n| torraye braggs | center | 50 | 2002 | import |\n| lowell briones | forward | 4 | 2002 | free agency |\n| ronjay buenafe | guard | 9 | 2007 - 2009 | rookie draft |" + } + ] + }, + { + "id": "table_recognition_train_item_49066", + "image": "table_instructV/images/TAT-QA_2602c5b3-8ecd-47af-a3b4-56ecd4870928.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | At December 31, 2019 | At December 31, 2018 | At January 1, 2018 |\n| --- | --- | --- | --- |\n| Receivables (1) | $ 5,752 | $ 5,448 | $ 5,555 |\n| Device payment plan agreement receivables (2) | 15,313 | 12,272 | 2,073 |\n| Contract assets | 761 | 772 | 858 |\n| Contract liabilities | 4,721 | 4,521 | 3,445 |" + } + ] + }, + { + "id": "table_recognition_train_item_56800", + "image": "table_instructV/images/TabFact_2-1257251-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| goal | date | score | result | competition |\n| --- | --- | --- | --- | --- |\n| 1 | april 28 , 1999 | 1 - 2 | 1 - 2 | friendly |\n| 2 | july 1 , 2000 | 2 - 0 | 3 - 0 | friendly |\n| 3 | march 7 , 2001 | 3 - 2 | 3 - 3 | friendly |\n| 4 | july 22 , 2001 | 1 - 0 | 2 - 0 | 2001 copa américa |\n| 5 | september 5 , 2001 | 2 - 0 | 3 - 0 | 2002 fifa world cup qualification |\n| 6 | september 8 , 2004 | 1 - 0 | 3 - 1 | 2006 fifa world cup qualification |\n| 7 | september 8 , 2004 | 2 - 0 | 3 - 1 | 2006 fifa world cup qualification |" + } + ] + }, + { + "id": "table_recognition_train_item_33478", + "image": "table_instructV/images/TABMWP_29753.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 15 | 2 |\n| 19 | 0 |\n| 2 | 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_54180", + "image": "table_instructV/images/TabFact_2-11801912-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| date | visitor | score | home | decision | attendance | record |\n| --- | --- | --- | --- | --- | --- | --- |\n| february 1 | dallas | 4 - 1 | edmonton | turco | 16839 | 30 - 20 - 5 |\n| february 2 | dallas | 2 - 1 | calgary | turco | 19289 | 31 - 20 - 5 |\n| february 5 | vancouver | 2 - 3 | dallas | turco | 17642 | 32 - 20 - 5 |\n| february 7 | dallas | 1 - 0 | minnesota | smith | 18568 | 33 - 20 - 5 |\n| february 9 | st louis | 2 - 6 | dallas | smith | 18584 | 34 - 20 - 5 |\n| february 11 | phoenix | 1 - 2 | dallas | turco | 17622 | 35 - 20 - 5 |\n| february 14 | dallas | 2 - 5 | phoenix | turco | 12885 | 35 - 21 - 5 |\n| february 15 | dallas | 4 - 2 | anaheim | turco | 17323 | 36 - 21 - 5 |\n| february 17 | detroit | 0 - 1 | dallas | turco | 18584 | 37 - 21 - 5 |\n| february 20 | calgary | 3 - 2 | dallas | turco | 18584 | 37 - 22 - 5 |\n| february 22 | edmonton | 2 - 5 | dallas | turco | 18564 | 38 - 22 - 5 |\n| february 23 | dallas | 6 - 2 | nashville | smith | 17113 | 39 - 22 - 5 |\n| february 26 | dallas | 3 - 1 | st louis | turco | 19150 | 40 - 22 - 5 |\n| february 28 | chicago | 4 - 7 | dallas | turco | 18584 | 41 - 22 - 5 |" + } + ] + }, + { + "id": "table_recognition_train_item_113535", + "image": "table_instructV/images/Rotowire_train_table_1110.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Lakers | Los Angeles | 91 | 15 | 25 | 31 | 20 | 21 | 41 | 14 | 38 | 78 | 36 | 9 | 39 | | | | |\n| Bulls | Chicago | 114 | 32 | 26 | 32 | 24 | 29 | 51 | 10 | 50 | 88 | 35 | 26 | 19 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Lakers | | | | | | | | | | | | | | | | | | |\n| Jordan Clarkson | 27 | 16 | 4 | 4 | 5-14 | 36% | 2-3 | 67% | 4-5 | 80% | 0 | 2 | 0 | 2 | 2 | 0 | G | Los Angeles |\n| Nick Young | 29 | 14 | 3 | 0 | 5-10 | 50% | 3-6 | 50% | 1-2 | 50% | 0 | 2 | 0 | 2 | 1 | 2 | N/A | Los Angeles |\n| Julius Randle | 27 | 14 | 8 | 1 | 4-8 | 50% | 0-0 | 0% | 6-6 | 100% | 1 | 2 | 1 | 0 | 8 | 2 | F | Los Angeles |\n| Kobe Bryant | 25 | 10 | 4 | 3 | 4-13 | 31% | 2-7 | 29% | 0-0 | 0% | 2 | 2 | 0 | 0 | 4 | 2 | G | Los Angeles |\n| Anthony Brown | 35 | 7 | 3 | 1 | 3-9 | 33% | 1-4 | 25% | 0-0 | 0% | 1 | 1 | 0 | 0 | 3 | 1 | F | Los Angeles |\n| Larry Nance Jr. | 18 | 7 | 5 | 1 | 3-6 | 50% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 3 | 2 | 2 | N/A | Los Angeles |\n| Ryan Kelly | 5 | 6 | 3 | 0 | 2-2 | 100% | 0-0 | 0% | 2-4 | 50% | 0 | 0 | 0 | 1 | 2 | 0 | N/A | Los Angeles |\n| Brandon Bass | 23 | 6 | 4 | 3 | 2-5 | 40% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 2 | 1 | 3 | 1 | N/A | Los Angeles |\n| Roy Hibbert | 19 | 6 | 1 | 1 | 3-7 | 43% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 1 | 0 | 4 | C | Los Angeles |\n| D'Angelo Russell | 24 | 3 | 4 | 4 | 1-7 | 14% | 1-4 | 25% | 0-0 | 0% | 1 | 3 | 0 | 0 | 4 | 1 | N/A | Los Angeles |\n| Tarik Black | 5 | 2 | 0 | 0 | 0-2 | 0% | 0-0 | 0% | 2-2 | 100% | 1 | 0 | 0 | 0 | 0 | 2 | N/A | Los Angeles |\n| Marcelo Huertas | 5 | 0 | 2 | 3 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | Los Angeles |\n| Metta World Peace | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Jimmy Butler | 31 | 26 | 5 | 10 | 11-17 | 65% | 1-2 | 50% | 3-3 | 100% | 4 | 0 | 0 | 1 | 4 | 1 | G | Chicago |\n| Pau Gasol | 31 | 21 | 12 | 7 | 9-17 | 53% | 0-0 | 0% | 3-3 | 100% | 1 | 3 | 1 | 1 | 11 | 3 | C | Chicago |\n| Derrick Rose | 29 | 16 | 7 | 5 | 7-12 | 58% | 0-2 | 0% | 2-2 | 100% | 1 | 1 | 0 | 0 | 7 | 2 | G | Chicago |\n| Doug McDermott | 24 | 15 | 2 | 1 | 6-15 | 40% | 3-6 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 4 | N/A | Chicago |\n| Taj Gibson | 36 | 9 | 11 | 1 | 4-10 | 40% | 0-0 | 0% | 1-2 | 50% | 2 | 1 | 2 | 4 | 7 | 2 | F | Chicago |\n| E'Twaun Moore | 36 | 8 | 2 | 1 | 3-9 | 33% | 0-3 | 0% | 2-2 | 100% | 2 | 1 | 1 | 2 | 0 | 0 | F | Chicago |\n| Aaron Brooks | 18 | 6 | 2 | 1 | 2-7 | 29% | 2-4 | 50% | 0-0 | 0% | 0 | 1 | 1 | 0 | 2 | 2 | N/A | Chicago |\n| Tony Snell | 5 | 6 | 1 | 0 | 3-3 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Chicago |\n| Bobby Portis | 22 | 4 | 7 | 1 | 1-4 | 25% | 0-0 | 0% | 2-2 | 100% | 2 | 0 | 0 | 4 | 3 | 2 | N/A | Chicago |\n| Cameron Bairstow | 4 | 2 | 2 | 1 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 2 | N/A | Chicago |\n| Cristiano Felicio | 3 | 1 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Chicago |\n| Kirk Hinrich | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Nikola Mirotic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |" + } + ] + }, + { + "id": "table_recognition_train_item_30905", + "image": "table_instructV/images/TABMWP_1904.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $260 | 11,100 | 1,500 |\n| $290 | 9,100 | 6,100 |\n| $320 | 7,100 | 10,700 |\n| $350 | 5,100 | 15,300 |\n| $380 | 3,100 | 19,900 |" + } + ] + }, + { + "id": "table_recognition_train_item_55900", + "image": "table_instructV/images/TabFact_1-18018214-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| position | club | games played | wins | draws | loses | goals scored | goals conceded | points |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | fbk kaunas | 36 | 26 | 7 | 3 | 76 | 13 | 85 |\n| 2 | fk atlantas | 36 | 19 | 12 | 5 | 66 | 29 | 69 |\n| 3 | fk žalgiris vilnius | 36 | 20 | 9 | 7 | 64 | 39 | 69 |\n| 4 | fk ekranas | 36 | 15 | 10 | 11 | 58 | 38 | 55 |\n| 5 | inkaras kaunas | 36 | 11 | 12 | 13 | 50 | 44 | 45 |\n| 6 | geležinis vilkas vilnius | 36 | 10 | 6 | 20 | 42 | 69 | 36 |\n| 7 | nevėžis kėdainiai | 36 | 8 | 11 | 17 | 33 | 54 | 35 |\n| 8 | sakalas šiauliai | 36 | 7 | 13 | 16 | 32 | 61 | 34 |\n| 9 | vėtra rūdiškės | 36 | 7 | 11 | 18 | 32 | 57 | 32 |" + } + ] + }, + { + "id": "table_recognition_train_item_116017", + "image": "table_instructV/images/Rotowire_train_table_2351.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pacers | Indiana | 123 | 28 | 27 | 35 | 33 | 28 | 42 | 14 | 52 | 61 | 50 | 8 | 5 | | | | |\n| Bucks | Milwaukee | 86 | 25 | 26 | 16 | 19 | 19 | 43 | 23 | 43 | 68 | 29 | 5 | 8 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| CJ Miles | 25 | 21 | 1 | 1 | 7-16 | 44% | 3-9 | 33% | 4-5 | 80% | 3 | 1 | 0 | 0 | 1 | 3 | F | Indiana |\n| Paul George | 29 | 20 | 7 | 7 | 6-17 | 35% | 3-9 | 33% | 5-6 | 83% | 2 | 3 | 0 | 0 | 7 | 3 | F | Indiana |\n| Jordan Hill | 28 | 20 | 11 | 1 | 9-10 | 90% | 0-0 | 0% | 2-2 | 100% | 2 | 0 | 1 | 2 | 9 | 0 | N/A | Indiana |\n| Glenn Robinson | 21 | 17 | 0 | 0 | 6-7 | 86% | 4-4 | 100% | 1-2 | 50% | 2 | 1 | 0 | 0 | 0 | 0 | N/A | Indiana |\n| Chase Budinger | 30 | 13 | 1 | 3 | 5-9 | 56% | 3-4 | 75% | 0-0 | 0% | 1 | 2 | 0 | 0 | 1 | 1 | G | Indiana |\n| Monta Ellis | 30 | 12 | 5 | 5 | 5-9 | 56% | 1-1 | 100% | 1-3 | 33% | 2 | 3 | 1 | 1 | 4 | 2 | G | Indiana |\n| Rodney Stuckey | 22 | 7 | 2 | 5 | 3-9 | 33% | 0-2 | 0% | 1-4 | 25% | 1 | 1 | 1 | 0 | 2 | 1 | N/A | Indiana |\n| Lavoy Allen | 29 | 6 | 8 | 5 | 3-7 | 43% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 1 | 4 | 4 | 2 | N/A | Indiana |\n| Ian Mahinmi | 22 | 4 | 7 | 1 | 2-6 | 33% | 0-0 | 0% | 0-1 | 0% | 1 | 1 | 1 | 4 | 3 | 1 | C | Indiana |\n| Solomon Hill | 5 | 3 | 0 | 0 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Indiana |\n| Myles Turner | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Joe Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| George Hill | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Bucks | | | | | | | | | | | | | | | | | | |\n| Greg Monroe | 24 | 11 | 14 | 3 | 4-10 | 40% | 0-0 | 0% | 3-4 | 75% | 1 | 2 | 1 | 7 | 7 | 2 | C | Milwaukee |\n| Jabari Parker | 21 | 10 | 4 | 1 | 4-8 | 50% | 0-0 | 0% | 2-2 | 100% | 2 | 2 | 1 | 3 | 1 | 1 | F | Milwaukee |\n| O.J. Mayo | 22 | 10 | 2 | 1 | 4-8 | 50% | 2-5 | 40% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 2 | N/A | Milwaukee |\n| Giannis Antetokounmpo | 29 | 9 | 5 | 2 | 3-8 | 38% | 0-0 | 0% | 3-4 | 75% | 2 | 3 | 2 | 0 | 5 | 3 | F | Milwaukee |\n| Khris Middleton | 28 | 8 | 2 | 1 | 3-11 | 27% | 1-4 | 25% | 1-2 | 50% | 2 | 1 | 1 | 0 | 2 | 1 | G | Milwaukee |\n| Michael Carter-Williams | 26 | 7 | 3 | 3 | 3-5 | 60% | 0-0 | 0% | 1-3 | 33% | 0 | 5 | 0 | 0 | 3 | 3 | G | Milwaukee |\n| Rashad Vaughn | 5 | 7 | 1 | 1 | 3-4 | 75% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Milwaukee |\n| John Henson | 12 | 6 | 3 | 1 | 2-3 | 67% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 3 | 3 | N/A | Milwaukee |\n| Johnny O'Bryant III | 16 | 4 | 2 | 0 | 2-6 | 33% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 1 | 1 | 1 | N/A | Milwaukee |\n| Greivis Vasquez | 15 | 4 | 1 | 3 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 4 | 0 | 0 | 1 | 2 | N/A | Milwaukee |\n| Miles Plumlee | 12 | 4 | 4 | 1 | 2-6 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 2 | 2 | 0 | N/A | Milwaukee |\n| Jerryd Bayless | 19 | 3 | 2 | 2 | 1-5 | 20% | 1-5 | 20% | 0-0 | 0% | 1 | 2 | 0 | 0 | 2 | 1 | N/A | Milwaukee |\n| Chris Copeland | 10 | 3 | 0 | 0 | 1-3 | 33% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Milwaukee |" + } + ] + }, + { + "id": "table_recognition_train_item_54258", + "image": "table_instructV/images/TabFact_2-17144160-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| original nfl team | player | pos | college | conf |\n| --- | --- | --- | --- | --- |\n| baltimore ravens | dannell ellerbe | lb | georgia | sec |\n| carolina panthers | garry williams | ot | kentucky | sec |\n| chicago bears | kahlil bell | rb | ucla | pac - 10 |\n| cincinnati bengals | quan cosby | wr | texas | big 12 |\n| cincinnati bengals | tom nelson | s | illinois state | mvfc |\n| dallas cowboys | kevin ogletree | wr | virginia | acc |\n| green bay packers | graham harrell | qb | texas tech | big 12 |\n| houston texans | arian foster | rb | tennessee | sec |\n| indianapolis colts | jacob lacey | cb | oklahoma state | big 12 |\n| indianapolis colts | tim masthay | p | kentucky | sec |\n| jacksonville jaguars | russell allen | lb | san diego state | mwc |\n| kansas city chiefs | jovan belcher | lb | maine | caa |\n| kansas city chiefs | tom crabtree | te | miami | mac |\n| new england patriots | brian hoyer | qb | michigan state | big ten |\n| new orleans saints | jonathan casillas | lb | wisconsin | big ten |\n| new orleans saints | pj hill | rb | wisconsin | big ten |\n| new orleans saints | jermey parnell | ot | mississippi | sec |\n| new york giants | bruce johnson | cb | miami (fl) | acc |\n| new york jets | jamaal westerman | lb | rutgers | big east |\n| philadelphia eagles | antonio dixon | dt | miami (fl) | acc |\n| pittsburgh steelers | ramon foster | ol | tennessee | sec |\n| pittsburgh steelers | isaac redman | rb | bowie state | n / a |\n| san francisco 49ers | alex boone | ol | ohio state | big ten |\n| seattle seahawks | michael bennett | dt | texas a&m | big 12 |\n| washington redskins | chase daniel | qb | missouri | big 12 |\n| washington redskins | kyle devan | g | oregon state | pac - 10 |\n| oakland raiders | desmond bryant | dt | harvard | ivy |\n| washington redskins | darrel young | rb | villanova | caa |" + } + ] + }, + { + "id": "table_recognition_train_item_33907", + "image": "table_instructV/images/TABMWP_33900.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| Number of plates | Number of raspberry bars |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | 40 |\n| 5 | 50 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_65498", + "image": "table_instructV/images/TabFact_1-27823058-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| series | episode | title | directed by | written by | original air date |\n| --- | --- | --- | --- | --- | --- |\n| 23 | 1 | guess who 's not coming to dinner | james burrows | david kohan & max mutchnick | september 21 , 1999 |\n| 24 | 2 | election | james burrows | adam barr | september 28 , 1999 |\n| 25 | 3 | das boob | james burrows | jhoni marchinko | november 2 , 1999 |\n| 26 | 4 | whose mom is it anyway | james burrows | alex herschlag | november 9 , 1999 |\n| 27 | 5 | polk defeats truman | james burrows | jeff greenstein | november 16 , 1999 |\n| 28 | 6 | to serve and disinfect | james burrows | katie palmer | november 23 , 1999 |\n| 29 | 7 | homo for the holidays | james burrows | alex herschlag | november 25 , 1999 |\n| 30 | 8 | terms of employment | james burrows | david kohan & max mutchnick | november 30 , 1999 |\n| 31 | 9 | i never promised you an olive garden | james burrows | jon kinnally & tracy poust | december 14 , 1999 |\n| 32 | 10 | tea and a total lack of sympathy | james burrows | jon kinnally & tracy poust | january 11 , 2000 |\n| 33 | 11 | seeds of discontent | james burrows | jhoni marchinko | january 25 , 2000 |\n| 34 | 12 | he 's come undone | james burrows | adam barr | february 8 , 2000 |\n| 36 | 14 | acting out | james burrows | david kohan & max mutchnick | february 22 , 2000 |\n| 37 | 15 | advise and resent | james burrows | jon kinnally & tracy poust | february 29 , 2000 |\n| 38 | 16 | hey la , hey la , my ex - boyfriend 's back | james burrows | jeff greenstein | march 14 , 2000 |\n| 39 | 17 | the hospital show | james burrows | adam barr | march 28 , 2000 |\n| 40 | 18 | sweet and sour charity | james burrows | gail lerner | april 4 , 2000 |\n| 41 | 19 | an affair to forget | james burrows | alex herschlag & laura kightlinger | april 18 , 2000 |\n| 42 | 20 | girls , interrupted | james burrows | jon kinnally , tracy poust & jhoni marchinko | may 2 , 2000 |\n| 43 | 21 | there but for the grace of grace | james burrows | michelle bochner | may 9 , 2000 |\n| 44 | 22 | my best friend 's tush | james burrows | ellen idelson & rob lotterstein | may 16 , 2000 |" + } + ] + }, + { + "id": "table_recognition_train_item_34904", + "image": "table_instructV/images/TABMWP_17594.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| | In-line skates | Roller skates |\n| --- | --- | --- |\n| Age 8 | 5 | 4 |\n| Age 10 | 3 | 5 |" + } + ] + }, + { + "id": "table_recognition_train_item_67454", + "image": "table_instructV/images/TabFact_1-13426649-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| | title | directed by | written by | original air date | production code | us viewers (millions) |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | a love of a lifetime | alex graves | kevin falls | september 24 , 2007 | 1anj79 | 9.16 |\n| 2 | friendly skies | alex graves | kevin falls | october 1 , 2007 | 1anj01 | 8.23 |\n| 3 | game three | alex graves | tom szentgyorgyi | october 8 , 2007 | 1anj02 | 6.94 |\n| 4 | the year of the rabbit | laura innes | joan b weiss | october 15 , 2007 | 1anj03 | 6.75 |\n| 5 | the legend of dylan mccleen | allison liddi | matt mcguinness | october 22 , 2007 | 1anj04 | 6.06 |\n| 6 | keepers | andrew bernstein | paul redford | october 29 , 2007 | 1anj05 | 5.75 |\n| 7 | double down | alex graves | j r orci | november 5 , 2007 | 1anj06 | 5.13 |\n| 8 | winterland | helen shaver | dana calvo | november 12 , 2007 | 1anj07 | 6.09 |\n| 9 | emily (part 1) | frederick king keller | juan carlos coto | november 19 , 2007 | 1anj08 | 5.61 |\n| 10 | blowback (part 2) | karen gaviola | kevin falls | november 26 , 2007 | 1anj09 | 6.05 |\n| 11 | home by another way | lesli linka glatter | tom szentgyorgyi | december 10 , 2007 | 1anj10 | 5.28 |\n| 12 | the hanged man (part 1) | steven depaul | tracy mcmillan | december 17 , 2007 | 1anj11 | 4.24 |" + } + ] + }, + { + "id": "table_recognition_train_item_35055", + "image": "table_instructV/images/TABMWP_22298.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 1 | 2 |\n| 20 | 4 |\n| 20 | 8 |" + } + ] + }, + { + "id": "table_recognition_train_item_101996", + "image": "table_instructV/images/ToTTo_train_table_8489.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Date | Event | Venue | Location | Main event |\n| --- | --- | --- | --- | --- |\n| January 14 | Final Resolution | Impact Zone | Orlando, Florida | Abyss vs. Christian Cage vs. Sting |\n| February 11 | Against All Odds | Impact Zone | Orlando, Florida | Christian Cage vs. Kurt Angle |\n| March 11 | Destination X | Impact Zone | Orlando, Florida | Christian Cage vs. Samoa Joe |\n| April 15 | Lockdown | Family Arena | St. Charles, Missouri | Team Angle (Kurt Angle, Samoa Joe, Sting, Rhino and Jeff Jarrett) vs. Team Cage (Christian Cage, A.J. |\n| May 13 | Sacrifice | Impact Zone | Orlando, Florida | Christian Cage vs. Kurt Angle vs. Sting |\n| June 17 | Slammiversary | Nashville Municipal Auditorium | Nashville, Tennessee | Kurt Angle vs. A.J. Styles vs. Samoa Joe vs. Christian Cage vs. Chris Harris |\n| July 15 | Victory Road | Impact Zone | Orlando, Florida | Kurt Angle and Samoa Joe vs. Team 3D (Brother Ray and Brother Devon) |\n| August 12 | Hard Justice | Impact Zone | Orlando, Florida | Kurt Angle vs. Samoa Joe |\n| September 9 | No Surrender | Impact Zone | Orlando, Florida | Kurt Angle vs. Abyss |\n| October 14 | Bound for Glory | Arena at Gwinnett Center | Duluth, Georgia | Kurt Angle vs. Sting |\n| November 11 | Genesis | Impact Zone | Orlando, Florida | Sting and Booker T vs. Kurt Angle and Kevin Nash |\n| December 2 | Turning Point | Impact Zone | Orlando, Florida | Samoa Joe, Kevin Nash and Eric Young vs. The Angle Alliance (Kurt Angle, A.J. Styles and Tomko) |" + } + ] + }, + { + "id": "table_recognition_train_item_51948", + "image": "table_instructV/images/TAT-QA_d28839bf-4989-4ad4-acb4-c76e6eb815a9.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | December 31, 2019 | September 30, 2019 | June 30, 2019 | March 31, 2019 | December 31, 2018 |\n| --- | --- | --- | --- | --- | --- |\n| ACI On Premise | $1,977 | $1,925 | $1,880 | $1,861 | $1,875 |\n| ACI On Demand | 3,855 | 3,756 | 3,813 | 2,290 | 2,299 |\n| Total | $5,832 | $5,681 | $5,693 | $4,151 | $4,174 |\n| | December 31, 2019 | September 30, 2019 | June 30, 2019 | March 31, 2019 | December 31, 2018 |\n| Committed | $2,168 | $2,003 | $2,105 | $1,734 | $1,832 |\n| Renewal | 3,664 | 3,678 | 3,588 | 2,417 | 2,342 |\n| Total | $5,832 | $5,681 | $5,693 | $4,151 | $4,174 |" + } + ] + }, + { + "id": "table_recognition_train_item_50826", + "image": "table_instructV/images/TAT-QA_fdb406b9-c478-4641-9654-c67f10e91e3b.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| | | Year Ended December 31, | |\n| --- | --- | --- | --- |\n| | 2019 | 2018 | 2017 |\n| Cash flows from operating activities | $47,112 | $60,710 | $57,187 |\n| Cash flows used in investing activities | (73,414) | (13,377) | (168,795) |\n| Cash flows (used in) / from financing activities | (130) | 2,399 | 67,303 |" + } + ] + }, + { + "id": "table_recognition_train_item_69184", + "image": "table_instructV/images/TabFact_2-15096967-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| year | class | team | points | wins |\n| --- | --- | --- | --- | --- |\n| 1973 | 350cc | harley davidson | 8 | 0 |\n| 1973 | 500cc | harley davidson | 10 | 0 |\n| 1974 | 500cc | mv agusta | 69 | 1 |\n| 1975 | 500cc | mv agusta | 13 | 0 |\n| 1976 | 250cc | harley davidson | 61 | 1 |\n| 1976 | 350cc | harley davidson | 15 | 0 |\n| 1977 | 500cc | suzuki | 37 | 0 |\n| 1978 | 350cc | yamaha | 37 | 0 |\n| 1978 | 500cc | suzuki | 2 | 0 |\n| 1979 | 350cc | yamaha | 2 | 0 |\n| 1980 | 500cc | yamaha | 0 | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_67986", + "image": "table_instructV/images/TabFact_1-17993994-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| | week 1 | week 2 | week 3 | week 4 | week 5 |\n| --- | --- | --- | --- | --- | --- |\n| january | jillian beyor | danielle richardson | natasha budhi | jaye meredith | jennifer lee |\n| february | jennifer hurt | joey mansfield | veronica tejeda | miranda janine | - |\n| march | daniella bae | marie francis | kylie jayde anderson | alexia mason | - |\n| april | patrycja mikula | nikki fiction | adriana | gianna lowe | deanna mccarver |\n| may | cristal camden | shandie | cherish lee crum | stephanie olson | - |\n| june | carlotta champagne | jenna jordan | jo garcia | laurena lacey | - |\n| july | mallory dylan | mary karola | tamika curry | danielle carr | jessica jones |\n| august | yolanda kurpiarz | brie anna | kimberlee ann | lindsay saddler | - |\n| september | angi mari yangas | meghan allen | francessca demarco | maryann murray | - |\n| october | debbi davids | amanda hanshaw | sara stokes | caitlin ferguson | melany denyse |\n| november | amanda batt | april ireland | trina marie | kristy joe | - |" + } + ] + }, + { + "id": "table_recognition_train_item_49696", + "image": "table_instructV/images/TAT-QA_c1e1d2be-ee4f-45c7-87d8-e8d218657bcb.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| (In thousands) | 2019 | 2018 | 2017 |\n| --- | --- | --- | --- |\n| Current | | | |\n| Federal | $(518) | $(8,001) | $466 |\n| State | (1,065) | (476) | (150) |\n| International | (282) | 11,705 | 6,458 |\n| Total Current | (1,865) | 3,228 | 6,774 |\n| Deferred | | | |\n| Federal | 24,801 | (14,448) | 8,024 |\n| State | 5,815 | (3,390) | 1,882 |\n| International | (546) | 581 | 4,167 |\n| Total Deferred | 30,070 | (17,257) | 14,073 |\n| Total Income Tax Expense (Benefit) | $28,205 | $(14,029) | $20,847 |" + } + ] + }, + { + "id": "table_recognition_train_item_51568", + "image": "table_instructV/images/TAT-QA_8e30901a-32b0-447e-bbd8-5079f0eba975.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| | | Fiscal Year Ended | |\n| --- | --- | --- | --- |\n| | December 27, 2019 | December 28, 2018 | December 29, 2017 |\n| Senior secured term loan | $238,129 | $239,745 | $238,435 |\n| Total Convertible debt | $154,000 | $— | $36,750 |\n| Borrowings outstanding on asset-based loan facility | $— | $44,185 | $— |\n| Finance leases and other financing obligations | $3,905 | $193 | $664 |" + } + ] + }, + { + "id": "table_recognition_train_item_35277", + "image": "table_instructV/images/TABMWP_28504.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of train cars | Number of passengers |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_67852", + "image": "table_instructV/images/TabFact_2-1817534-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| rank | nation | gold | silver | bronze | total |\n| --- | --- | --- | --- | --- | --- |\n| 1 | soviet union | 12 | 12 | 11 | 35 |\n| 2 | east germany | 12 | 10 | 10 | 32 |\n| 3 | west germany | 4 | 2 | 2 | 8 |\n| 4 | italy | 4 | 1 | 0 | 5 |\n| 5 | poland | 2 | 2 | 3 | 7 |\n| 6 | great britain | 1 | 4 | 2 | 7 |\n| 7 | finland | 1 | 2 | 3 | 6 |\n| 8 | yugoslavia | 1 | 1 | 0 | 2 |\n| 9 | france | 1 | 0 | 1 | 2 |\n| 10 | hungary | 1 | 0 | 0 | 1 |\n| 10 | spain | 1 | 0 | 0 | 1 |\n| 12 | czechoslovakia | 0 | 2 | 3 | 5 |\n| 13 | romania | 0 | 2 | 0 | 2 |\n| 14 | switzerland | 0 | 1 | 1 | 2 |\n| 15 | ireland | 0 | 1 | 0 | 1 |\n| 15 | sweden | 0 | 1 | 0 | 1 |\n| 17 | belgium | 0 | 0 | 1 | 1 |\n| 17 | bulgaria | 0 | 0 | 1 | 1 |\n| 17 | norway | 0 | 0 | 1 | 1 |\n| 19 | total | 40 | 41 | 39 | 120 |" + } + ] + }, + { + "id": "table_recognition_train_item_33634", + "image": "table_instructV/images/TABMWP_31126.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Number of tins | Number of pretzels |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_114191", + "image": "table_instructV/images/Rotowire_train_table_1438.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Warriors | Golden State | 97 | 32 | 29 | 23 | 13 | 18 | 43 | 17 | 36 | 73 | 33 | 3 | 2 | | | | |\n| Cavaliers | Cleveland | 112 | 29 | 32 | 32 | 19 | 15 | 41 | 16 | 53 | 61 | 42 | 2 | 3 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Klay Thompson | 41 | 37 | 3 | 1 | 11-20 | 55% | 6-11 | 55% | 9-9 | 100% | 0 | 1 | 0 | 0 | 3 | 2 | G | Golden State |\n| Stephen Curry | 40 | 25 | 7 | 4 | 8-21 | 38% | 5-15 | 33% | 4-4 | 100% | 0 | 4 | 3 | 2 | 5 | 2 | G | Golden State |\n| Andre Iguodala | 41 | 15 | 11 | 6 | 6-13 | 46% | 1-4 | 25% | 2-2 | 100% | 2 | 3 | 0 | 4 | 7 | 0 | F | Golden State |\n| Shaun Livingston | 21 | 7 | 4 | 3 | 3-7 | 43% | 0-1 | 0% | 1-1 | 100% | 1 | 3 | 0 | 1 | 3 | 1 | N/A | Golden State |\n| Harrison Barnes | 38 | 5 | 5 | 1 | 2-14 | 14% | 1-6 | 17% | 0-2 | 0% | 1 | 0 | 1 | 1 | 4 | 1 | F | Golden State |\n| Leandro Barbosa | 10 | 3 | 0 | 0 | 1-3 | 33% | 1-2 | 50% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 3 | N/A | Golden State |\n| Anderson Varejao | 9 | 3 | 1 | 1 | 0-0 | 0% | 0-0 | 0% | 3-8 | 38% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | Golden State |\n| Festus Ezeli | 10 | 2 | 3 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 2 | 1 | 2 | N/A | Golden State |\n| Brandon Rush | 5 | 0 | 1 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 1 | 0 | 1 | 1 | N/A | Golden State |\n| Marreese Speights | 11 | 0 | 3 | 2 | 0-6 | 0% | 0-3 | 0% | 0-0 | 0% | 1 | 2 | 0 | 1 | 2 | 2 | N/A | Golden State |\n| Andrew Bogut | 8 | 0 | 3 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 3 | 1 | 2 | 4 | C | Golden State |\n| James Michael McAdoo | 8 | 0 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 3 | N/A | Golden State |\n| Draymond Green | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Cavaliers | | | | | | | | | | | | | | | | | | |\n| LeBron James | 43 | 41 | 16 | 7 | 16-30 | 53% | 4-8 | 50% | 5-8 | 63% | 3 | 2 | 3 | 4 | 12 | 1 | F | Cleveland |\n| Kyrie Irving | 40 | 41 | 3 | 6 | 17-24 | 71% | 5-7 | 71% | 2-2 | 100% | 2 | 4 | 1 | 0 | 3 | 4 | G | Cleveland |\n| JR Smith | 31 | 10 | 2 | 1 | 3-9 | 33% | 1-2 | 50% | 3-3 | 100% | 1 | 1 | 0 | 1 | 1 | 5 | G | Cleveland |\n| Richard Jefferson | 14 | 8 | 1 | 0 | 4-6 | 67% | 0-1 | 0% | 0-0 | 0% | 3 | 3 | 0 | 0 | 1 | 1 | N/A | Cleveland |\n| Tristan Thompson | 42 | 6 | 15 | 0 | 1-3 | 33% | 0-0 | 0% | 4-10 | 40% | 1 | 0 | 2 | 3 | 12 | 1 | C | Cleveland |\n| Iman Shumpert | 26 | 4 | 1 | 0 | 2-4 | 50% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 2 | 0 | 1 | 0 | N/A | Cleveland |\n| Kevin Love | 33 | 2 | 3 | 1 | 1-5 | 20% | 0-3 | 0% | 0-0 | 0% | 0 | 2 | 1 | 0 | 3 | 4 | F | Cleveland |\n| Matthew Dellavedova | 3 | 0 | 0 | 0 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 3 | N/A | Cleveland |\n| Timofey Mozgov | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Cleveland |\n| Mo Williams | 3 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Cleveland |\n| James Jones | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Cleveland |\n| Dahntay Jones | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Cleveland |\n| Channing Frye | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |" + } + ] + }, + { + "id": "table_recognition_train_item_112755", + "image": "table_instructV/images/Rotowire_train_table_720.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Raptors | Toronto | 96 | 22 | 20 | 27 | 27 | 24 | 35 | 8 | 46 | 85 | 35 | 9 | 2 | | | | |\n| Grizzlies | Memphis | 92 | 20 | 28 | 27 | 17 | 16 | 50 | 13 | 44 | 73 | 30 | 10 | 2 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| DeMar DeRozan | 38 | 21 | 5 | 4 | 10-22 | 46% | 0-1 | 0% | 1-2 | 50% | 2 | 1 | 0 | 1 | 4 | 1 | G | Toronto |\n| Kyle Lowry | 37 | 18 | 3 | 7 | 7-16 | 44% | 2-8 | 25% | 2-2 | 100% | 2 | 1 | 0 | 0 | 3 | 3 | G | Toronto |\n| Terrence Ross | 34 | 16 | 2 | 1 | 6-14 | 43% | 3-6 | 50% | 1-1 | 100% | 1 | 1 | 1 | 0 | 2 | 2 | F | Toronto |\n| Lou Williams | 18 | 13 | 2 | 1 | 4-8 | 50% | 2-4 | 50% | 3-3 | 100% | 2 | 1 | 0 | 0 | 2 | 0 | N/A | Toronto |\n| Jonas Valanciunas | 22 | 10 | 5 | 0 | 4-7 | 57% | 0-0 | 0% | 2-2 | 100% | 0 | 2 | 2 | 1 | 4 | 3 | C | Toronto |\n| Amir Johnson | 34 | 8 | 9 | 5 | 4-6 | 67% | 0-1 | 0% | 0-1 | 0% | 0 | 0 | 2 | 4 | 5 | 4 | F | Toronto |\n| Patrick Patterson | 21 | 7 | 4 | 1 | 2-4 | 50% | 1-2 | 50% | 2-2 | 100% | 0 | 0 | 1 | 1 | 3 | 1 | N/A | Toronto |\n| Greivis Vasquez | 14 | 3 | 3 | 3 | 1-5 | 20% | 1-4 | 25% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 4 | N/A | Toronto |\n| Tyler Hansbrough | 7 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 2 | 0 | 0 | 0 | 1 | 1 | N/A | Toronto |\n| Landry Fields | 5 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Toronto |\n| Charles Hayes | 10 | 0 | 1 | 2 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Toronto |\n| Bruno Caboclo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Greg Stiemsma | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Grizzlies | | | | | | | | | | | | | | | | | | |\n| Marc Gasol | 41 | 22 | 12 | 4 | 8-16 | 50% | 0-0 | 0% | 6-10 | 60% | 2 | 3 | 1 | 2 | 10 | 1 | C | Memphis |\n| Mike Conley | 42 | 19 | 10 | 5 | 7-17 | 41% | 1-1 | 100% | 4-4 | 100% | 1 | 2 | 0 | 1 | 9 | 4 | G | Memphis |\n| Zach Randolph | 38 | 18 | 18 | 0 | 7-18 | 39% | 0-0 | 0% | 4-4 | 100% | 2 | 3 | 0 | 8 | 10 | 2 | F | Memphis |\n| Tayshaun Prince | 34 | 15 | 3 | 1 | 6-8 | 75% | 0-0 | 0% | 3-4 | 75% | 0 | 3 | 0 | 1 | 2 | 0 | F | Memphis |\n| Vince Carter | 28 | 7 | 2 | 3 | 3-11 | 27% | 1-5 | 20% | 0-0 | 0% | 0 | 1 | 1 | 1 | 1 | 1 | N/A | Memphis |\n| Quincy Pondexter | 25 | 4 | 1 | 1 | 2-6 | 33% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 2 | 1 | 0 | 1 | G | Memphis |\n| Jarnell Stokes | 9 | 4 | 3 | 0 | 1-1 | 100% | 0-0 | 0% | 2-4 | 50% | 0 | 0 | 0 | 1 | 2 | 3 | N/A | Memphis |\n| Jordan Adams | 17 | 3 | 1 | 2 | 1-2 | 50% | 1-2 | 50% | 0-0 | 0% | 2 | 1 | 0 | 0 | 1 | 3 | N/A | Memphis |\n| Kalin Lucas | 6 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 1 | N/A | Memphis |\n| Tony Allen | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Beno Udrih | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Courtney Lee | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Hassan Whiteside | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |" + } + ] + }, + { + "id": "table_recognition_train_item_63710", + "image": "table_instructV/images/TabFact_2-15124884-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | october 8 , 1944 | philadelphia eagles | t 31 - 31 | 32549 |\n| 2 | october 15 , 1944 | boston yanks | w 21 - 14 | 17758 |\n| 3 | october 22 , 1944 | brooklyn tigers | w 17 - 14 | 35000 |\n| 4 | october 29 , 1944 | card - pitt | w 42 - 20 | 35540 |\n| 5 | november 5 , 1944 | cleveland rams | w 14 - 10 | 35450 |\n| 6 | november 12 , 1944 | brooklyn tigers | w 10 - 0 | 20404 |\n| 7 | november 19 , 1944 | philadelphia eagles | l 37 - 7 | 35540 |\n| 8 | november 26 , 1944 | boston yanks | w 14 - 7 | 35540 |\n| 9 | december 3 , 1944 | new york giants | l 16 - 13 | 47457 |\n| 10 | december 10 , 1944 | new york giants | l 31 - 0 | 35540 |" + } + ] + }, + { + "id": "table_recognition_train_item_33914", + "image": "table_instructV/images/TABMWP_33971.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Number of bouquets | Number of daisies |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_69346", + "image": "table_instructV/images/TabFact_2-16403890-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| institution | location | founded | affiliation | enrollment | team nickname | primary conference | home rink |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| duke university | durham , nc | 1838 | private / non - sectarian | 6496 | blue devils | atlantic coast conference ( d - i ) | triangle sports plex |\n| elon university | elon , nc | 1889 | private | 5225 | phoenix | southern conference ( d - i ) | triangle sports plex / greensboro ice house |\n| georgetown university | washington , dc | 1789 | private / catholic | 13612 | hoyas | big east conference ( d - i ) | kettler capitals iceplex |\n| george washington university | washington , dc | 1821 | private | 6655 | colonials | atlantic 10 conference ( d - i ) | fort dupont ice arena / kettler capitals iceplex |\n| university of north carolina | chapel hill , nc | 1789 | public | 17895 | tar heels | atlantic coast conference ( d - i ) | triangle sports plex |\n| north carolina state university | raleigh , nc | 1887 | public | 24741 | wolfpack | atlantic coast conference ( d - i ) | raleigh center ice |\n| wake forest university | winston - salem , nc | 1834 | private / non - sectarian | 7400 | demon deacons | atlantic coast conference ( d - i ) | winston - salem joel coliseum annex |" + } + ] + }, + { + "id": "table_recognition_train_item_51522", + "image": "table_instructV/images/TAT-QA_1770b431-5b3f-4374-a3c3-87d8a79bab5c.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| | Fiscal Year Ended June 30, | |\n| --- | --- | --- |\n| | 2019 | 2018 |\n| | (U.S. $ in thousands) | |\n| Non-current operating assets | | |\n| United States | $819,227 | $412,112 |\n| Australia | 18,842 | 16,730 |\n| India | 9,286 | — |\n| | $847,355 | $428,842 |" + } + ] + }, + { + "id": "table_recognition_train_item_65102", + "image": "table_instructV/images/TabFact_2-15409851-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| rank | nation | gold | silver | bronze | total |\n| --- | --- | --- | --- | --- | --- |\n| 1 | austria | 31 | 17 | 21 | 69 |\n| 2 | france | 12 | 15 | 9 | 36 |\n| 3 | russia | 11 | 11 | 7 | 29 |\n| 4 | sweden | 11 | 1 | 4 | 16 |\n| 5 | czechoslovakia | 10 | 7 | 8 | 25 |\n| 6 | soviet union | 8 | 12 | 10 | 30 |\n| 7 | east germany | 4 | 1 | 3 | 8 |\n| 8 | germany | 3 | 14 | 15 | 32 |\n| 9 | great britain | 3 | 7 | 7 | 17 |\n| 10 | ukraine | 3 | 2 | 3 | 8 |\n| 11 | hungary | 2 | 4 | 3 | 9 |\n| 12 | italy | 2 | 2 | 2 | 6 |\n| 13 | switzerland | 1 | 5 | 1 | 7 |\n| 14 | czech republic | 1 | 1 | 2 | 4 |\n| 15 | spain | 1 | 0 | 0 | 1 |\n| 15 | united states | 1 | 0 | 0 | 1 |\n| 16 | norway | 0 | 3 | 3 | 6 |\n| 17 | poland | 0 | 1 | 1 | 2 |\n| 18 | belgium | 0 | 0 | 3 | 3 |\n| 19 | finland | 0 | 0 | 2 | 2 |" + } + ] + }, + { + "id": "table_recognition_train_item_49882", + "image": "table_instructV/images/TAT-QA_21bbdf5a-25aa-447a-af28-f452fbeae8a6.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| | | Amount Reclassified from AOCI | |\n| --- | --- | --- | --- |\n| | | Years Ended June 30, | |\n| ($ in millions) (a) | Location of gain (loss) | 2019 | 2018 |\n| Details about AOCI Components | | | |\n| Cash flow hedging items | | | |\n| Commodity contracts | Cost of sales | $5.1 | $1.8 |\n| Foreign exchange contracts | Net sales | 1.0 | (1.0) |\n| Forward interest rate swaps | Interest expense | 0.4 | 0.4 |\n| | Total before tax | 6.5 | 1.2 |\n| | Tax expense | (1.6) | (0.4) |\n| | Net of tax | $4.9 | $0.8 |\n| Amortization of pension and other postretirement benefit plan items | | | |\n| Net actuarial loss | (b) | $(12.0) | $(16.4) |\n| Prior service cost | (b) | 3.1 | 3.1 |\n| | Total before tax | (8.9) | (13.3) |\n| | Tax benefit | 2.1 | 4.4 |\n| | Net of tax | $(6.8) | $(8.9) |" + } + ] + }, + { + "id": "table_recognition_train_item_115163", + "image": "table_instructV/images/Rotowire_train_table_1924.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Magic | Orlando | 87 | 21 | 25 | 25 | 16 | 19 | 47 | 14 | 39 | 65 | 24 | 20 | 21 | | | | |\n| 76ers | Philadelphia | 96 | 23 | 24 | 34 | 15 | 20 | 41 | 14 | 49 | 71 | 47 | 6 | 38 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Elfrid Payton | 41 | 21 | 6 | 10 | 8-13 | 62% | 0-1 | 0% | 5-9 | 56% | 2 | 3 | 0 | 3 | 3 | 2 | G | Orlando |\n| Tobias Harris | 36 | 15 | 10 | 2 | 5-13 | 39% | 1-3 | 33% | 4-7 | 57% | 1 | 1 | 1 | 1 | 9 | 2 | F | Orlando |\n| Nikola Vucevic | 37 | 15 | 11 | 1 | 7-15 | 47% | 0-0 | 0% | 1-2 | 50% | 2 | 2 | 1 | 2 | 9 | 2 | C | Orlando |\n| Mario Hezonja | 16 | 9 | 1 | 0 | 3-5 | 60% | 0-1 | 0% | 3-3 | 100% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Orlando |\n| Evan Fournier | 37 | 9 | 3 | 1 | 3-14 | 21% | 2-5 | 40% | 1-2 | 50% | 5 | 2 | 0 | 2 | 1 | 2 | G | Orlando |\n| Aaron Gordon | 32 | 7 | 8 | 1 | 3-7 | 43% | 0-2 | 0% | 1-1 | 100% | 0 | 1 | 0 | 2 | 6 | 1 | N/A | Orlando |\n| Jason Smith | 11 | 4 | 1 | 1 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 1 | 0 | 0 | N/A | Orlando |\n| Keith Appling | 6 | 4 | 1 | 0 | 1-3 | 33% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 1 | 3 | N/A | Orlando |\n| Channing Frye | 12 | 3 | 4 | 3 | 1-6 | 17% | 1-4 | 25% | 0-0 | 0% | 1 | 2 | 0 | 2 | 2 | 1 | F | Orlando |\n| Dewayne Dedmon | 5 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | Orlando |\n| Devyn Marble | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Orlando |\n| Shabazz Napier | 4 | 0 | 0 | 0 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Orlando |\n| Andrew Nicholson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Jahlil Okafor | 38 | 20 | 5 | 1 | 9-17 | 53% | 0-0 | 0% | 2-2 | 100% | 1 | 3 | 1 | 1 | 4 | 0 | C | Philadelphia |\n| Hollis Thompson | 30 | 17 | 3 | 0 | 7-10 | 70% | 3-5 | 60% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 2 | N/A | Philadelphia |\n| Isaiah Canaan | 28 | 15 | 1 | 1 | 5-8 | 63% | 3-4 | 75% | 2-2 | 100% | 2 | 2 | 0 | 0 | 1 | 1 | N/A | Philadelphia |\n| Ish Smith | 30 | 13 | 2 | 11 | 6-11 | 55% | 0-0 | 0% | 1-1 | 100% | 0 | 3 | 0 | 0 | 2 | 5 | G | Philadelphia |\n| Jerami Grant | 28 | 12 | 6 | 1 | 3-7 | 43% | 1-1 | 100% | 5-8 | 63% | 2 | 0 | 5 | 1 | 5 | 3 | N/A | Philadelphia |\n| Robert Covington | 30 | 8 | 11 | 1 | 2-8 | 25% | 2-7 | 29% | 2-2 | 100% | 3 | 4 | 0 | 0 | 11 | 3 | F | Philadelphia |\n| Nerlens Noel | 19 | 4 | 8 | 1 | 2-2 | 100% | 0-0 | 0% | 0-2 | 0% | 0 | 1 | 2 | 1 | 7 | 1 | F | Philadelphia |\n| Richaun Holmes | 12 | 4 | 1 | 0 | 2-3 | 67% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Philadelphia |\n| TJ McConnell | 18 | 3 | 4 | 4 | 0-5 | 0% | 0-0 | 0% | 3-4 | 75% | 0 | 0 | 0 | 1 | 3 | 3 | N/A | Philadelphia |\n| JaKarr Sampson | 8 | 0 | 0 | 0 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | G | Philadelphia |\n| Kendall Marshall | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Carl Landry | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Nik Stauskas | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |" + } + ] + }, + { + "id": "table_recognition_train_item_114687", + "image": "table_instructV/images/Rotowire_train_table_1686.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Celtics | Boston | 105 | 24 | 27 | 24 | 30 | 22 | 45 | 12 | 41 | 86 | 22 | 13 | 9 | | | | |\n| Bulls | Chicago | 100 | 24 | 30 | 21 | 25 | 22 | 50 | 16 | 43 | 70 | 29 | 11 | 8 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Isaiah Thomas | 31 | 20 | 5 | 5 | 5-15 | 33% | 2-5 | 40% | 8-8 | 100% | 0 | 2 | 0 | 0 | 5 | 0 | G | Boston |\n| Kelly Olynyk | 20 | 15 | 4 | 2 | 5-11 | 46% | 2-5 | 40% | 3-4 | 75% | 1 | 1 | 1 | 1 | 3 | 5 | N/A | Boston |\n| Jae Crowder | 33 | 13 | 3 | 0 | 5-10 | 50% | 1-3 | 33% | 2-2 | 100% | 3 | 1 | 0 | 0 | 3 | 5 | F | Boston |\n| Evan Turner | 29 | 13 | 3 | 7 | 3-8 | 38% | 0-1 | 0% | 7-8 | 88% | 2 | 2 | 0 | 1 | 2 | 1 | N/A | Boston |\n| David Lee | 18 | 12 | 6 | 2 | 5-11 | 46% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 0 | 2 | 4 | 2 | N/A | Boston |\n| Amir Johnson | 26 | 12 | 5 | 2 | 6-9 | 67% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 3 | 2 | 6 | F | Boston |\n| Jared Sullinger | 27 | 10 | 16 | 1 | 4-11 | 36% | 0-2 | 0% | 2-4 | 50% | 1 | 1 | 3 | 5 | 11 | 1 | C | Boston |\n| Avery Bradley | 39 | 10 | 2 | 3 | 5-15 | 33% | 0-6 | 0% | 0-0 | 0% | 1 | 3 | 0 | 1 | 1 | 2 | G | Boston |\n| James Young | 16 | 0 | 1 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Boston |\n| Jonas Jerebko | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Boston |\n| Terry Rozier | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Tyler Zeller | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Jordan Mickey | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Jimmy Butler | 39 | 36 | 7 | 0 | 12-24 | 50% | 0-5 | 0% | 12-14 | 86% | 1 | 1 | 0 | 0 | 7 | 3 | G | Chicago |\n| Pau Gasol | 33 | 16 | 15 | 4 | 7-17 | 41% | 0-1 | 0% | 2-3 | 67% | 1 | 4 | 2 | 5 | 10 | 3 | C | Chicago |\n| Derrick Rose | 37 | 12 | 2 | 6 | 5-11 | 46% | 1-3 | 33% | 1-4 | 25% | 0 | 3 | 1 | 0 | 2 | 0 | G | Chicago |\n| Doug McDermott | 26 | 11 | 7 | 0 | 4-11 | 36% | 3-4 | 75% | 0-0 | 0% | 0 | 1 | 0 | 1 | 6 | 2 | N/A | Chicago |\n| Nikola Mirotic | 22 | 10 | 3 | 2 | 4-10 | 40% | 2-6 | 33% | 0-0 | 0% | 1 | 1 | 1 | 1 | 2 | 3 | N/A | Chicago |\n| Taj Gibson | 20 | 8 | 7 | 1 | 4-6 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 4 | 3 | 1 | F | Chicago |\n| Joakim Noah | 21 | 5 | 5 | 6 | 2-5 | 40% | 0-0 | 0% | 1-2 | 50% | 2 | 2 | 1 | 2 | 3 | 2 | N/A | Chicago |\n| Kirk Hinrich | 11 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 2 | N/A | Chicago |\n| Tony Snell | 22 | 0 | 2 | 3 | 0-5 | 0% | 0-2 | 0% | 0-0 | 0% | 2 | 3 | 0 | 1 | 1 | 2 | F | Chicago |\n| E'Twaun Moore | 10 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | Chicago |\n| Aaron Brooks | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Cameron Bairstow | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Bobby Portis | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |" + } + ] + }, + { + "id": "table_recognition_train_item_65952", + "image": "table_instructV/images/TabFact_2-10166535-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| engine | horsepower | torque | carburetor | compression ratio | bore & stroke | vin code |\n| --- | --- | --- | --- | --- | --- | --- |\n| 250 - 1v i - 6 | 3200 rpm | 1600 rpm | 1 - barrel | 8.00:1 | 3.68 x 3.91 | l |\n| 302 - 2v windsor v8 | 4200 rpm | 2200 rpm | 2 - barrel | 8.00:1 | 4.00 x 3.00 | f |\n| 351 - 2v windsor v8 | 3800 rpm | 2200 rpm | 2 - barrel | 8.00:1 | 4.00 x 3.50 | h |\n| 351 - 2v cleveland v8 | 4000 rpm | 2400 rpm | 2 - barrel | 8.00:1 | 4.00 x 3.50 | h |\n| 351cj - 4v cleveland v8 | 5400 rpm | 3600 rpm | 4 - barrel | 8.00:1 | 4.00 x 3.50 | q |\n| 400 - 2v 335 series v8 | 4000 rpm | 2000 rpm | 2 - barrel | 8.00:1 | 4.00 x 4.00 | s |\n| 429 - 4v 385 series v8 | 4400 rpm | 2800 rpm | 4 - barrel | 8.00:1 | 4.36 x 3.59 | n |\n| 460 - 4v 385 series v8 | 4600 rpm | 2800 rpm | 4 - barrel | 8.80:1 | 4.36 x 3.85 | c |" + } + ] + }, + { + "id": "table_recognition_train_item_111557", + "image": "table_instructV/images/Rotowire_train_table_121.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Knicks | New York | 87 | 24 | 20 | 24 | 19 | 23 | 35 | 12 | 44 | 80 | 24 | 5 | 22 | | | | |\n| Mavericks | Dallas | 107 | 36 | 18 | 27 | 26 | 30 | 41 | 17 | 51 | 100 | 46 | 18 | 8 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Knicks | | | | | | | | | | | | | | | | | | |\n| Carmelo Anthony | 37 | 26 | 5 | 5 | 11-23 | 48% | 2-4 | 50% | 2-4 | 50% | 4 | 4 | 1 | 3 | 2 | 1 | F | New York |\n| Tim Hardaway Jr. | 35 | 14 | 4 | 2 | 5-17 | 29% | 0-8 | 0% | 4-4 | 100% | 0 | 1 | 0 | 0 | 4 | 1 | G | New York |\n| Amar'e Stoudemire | 29 | 10 | 5 | 2 | 4-8 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 2 | 2 | 1 | 4 | 3 | C | New York |\n| Jason Smith | 21 | 10 | 4 | 0 | 5-11 | 46% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 2 | 2 | 1 | N/A | New York |\n| Shane Larkin | 30 | 9 | 5 | 2 | 4-6 | 67% | 1-1 | 100% | 0-0 | 0% | 2 | 0 | 0 | 1 | 4 | 3 | N/A | New York |\n| Quincy Acy | 20 | 6 | 5 | 0 | 3-4 | 75% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 2 | 1 | 4 | 0 | F | New York |\n| Pablo Prigioni | 22 | 5 | 1 | 9 | 2-4 | 50% | 1-3 | 33% | 0-0 | 0% | 5 | 0 | 0 | 1 | 0 | 1 | N/A | New York |\n| Travis Wear | 8 | 4 | 0 | 1 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | New York |\n| Jose Calderon | 32 | 3 | 4 | 2 | 1-6 | 17% | 1-5 | 20% | 0-0 | 0% | 0 | 1 | 0 | 0 | 4 | 1 | G | New York |\n| Samuel Dalembert | 6 | 0 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 0 | N/A | New York |\n| JR Smith | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Cole Aldrich | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Mavericks | | | | | | | | | | | | | | | | | | |\n| Dirk Nowitzki | 23 | 16 | 5 | 5 | 5-11 | 46% | 1-4 | 25% | 5-5 | 100% | 1 | 2 | 0 | 0 | 5 | 1 | F | Dallas |\n| Monta Ellis | 32 | 14 | 0 | 6 | 6-14 | 43% | 0-2 | 0% | 2-2 | 100% | 3 | 3 | 0 | 0 | 0 | 1 | G | Dallas |\n| Chandler Parsons | 23 | 13 | 3 | 6 | 5-12 | 42% | 3-6 | 50% | 0-0 | 0% | 1 | 0 | 1 | 0 | 3 | 1 | F | Dallas |\n| Devin Harris | 18 | 11 | 4 | 2 | 4-6 | 67% | 3-5 | 60% | 0-0 | 0% | 0 | 2 | 0 | 0 | 4 | 0 | N/A | Dallas |\n| J.J. Barea | 17 | 10 | 1 | 5 | 4-7 | 57% | 2-2 | 100% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | Dallas |\n| Richard Jefferson | 20 | 9 | 2 | 2 | 3-7 | 43% | 2-5 | 40% | 1-1 | 100% | 1 | 2 | 0 | 1 | 1 | 2 | N/A | Dallas |\n| Tyson Chandler | 25 | 8 | 14 | 1 | 4-5 | 80% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 3 | 11 | 4 | C | Dallas |\n| Brandan Wright | 18 | 8 | 1 | 0 | 4-5 | 80% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 0 | 1 | 1 | N/A | Dallas |\n| Al-Farouq Aminu | 25 | 7 | 4 | 0 | 3-7 | 43% | 1-3 | 33% | 0-0 | 0% | 2 | 3 | 1 | 2 | 2 | 3 | N/A | Dallas |\n| Jameer Nelson | 24 | 6 | 2 | 3 | 2-4 | 50% | 2-4 | 50% | 0-0 | 0% | 1 | 2 | 0 | 1 | 1 | 1 | G | Dallas |\n| Charlie Villanueva | 4 | 3 | 3 | 0 | 1-3 | 33% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 0 | N/A | Dallas |\n| Greg Smith | 5 | 2 | 1 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | Dallas |\n| Jae Crowder | 6 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 0 | N/A | Dallas |" + } + ] + }, + { + "id": "table_recognition_train_item_65576", + "image": "table_instructV/images/TabFact_2-11882313-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| year | title | role | studio | director |\n| --- | --- | --- | --- | --- |\n| 1942 | winning your wings | blonde at dance | indie | john huston |\n| 1942 | yankee doodle dandy | girl | wb | michael curtiz |\n| 1943 | the hard way | young blonde | wb | vincent sherman |\n| 1943 | three cheers for the girls | blonde chorus girl (segment framing story) | wb | busby berkeley , jean negulesco |\n| 1943 | old acquaintance | deirdre drake | wb | vincent sherman |\n| 1944 | the last ride | molly stevens | wb | d ross lederman |\n| 1944 | to have and have not | mme hellene de bursac | wb | howard hawks |\n| 1945 | the horn blows at midnight | violinist / fran blackstone | wb | raoul walsh |\n| 1945 | too young to know | patsy o'brien | wb | frederick de cordova |\n| 1947 | the man i love | gloria o'connor | wb | raoul walsh |\n| 1947 | christmas eve | jean bradford | ua | edwin l marin |\n| 1950 | johnny one - eye | lily white | ua | robert florey |\n| 1953 | count the hours | paula mitchener | rko | don siegel |\n| 1954 | silver lode | dolly | rko | allan dwan |" + } + ] + }, + { + "id": "table_recognition_train_item_113171", + "image": "table_instructV/images/Rotowire_train_table_928.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Magic | Orlando | 111 | 36 | 32 | 21 | 22 | 32 | 50 | 13 | 54 | 67 | 37 | 30 | 43 | | | | |\n| Bulls | Chicago | 89 | 22 | 28 | 21 | 18 | 20 | 40 | 13 | 41 | 65 | 25 | 36 | 36 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Dewayne Dedmon | 22 | 18 | 13 | 2 | 9-14 | 64% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 4 | 9 | 4 | C | Orlando |\n| Elfrid Payton | 30 | 15 | 3 | 10 | 7-9 | 78% | 0-0 | 0% | 1-1 | 100% | 0 | 3 | 2 | 1 | 2 | 1 | G | Orlando |\n| Jason Smith | 24 | 14 | 6 | 3 | 7-12 | 58% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 2 | 1 | 5 | 3 | N/A | Orlando |\n| Andrew Nicholson | 21 | 14 | 6 | 0 | 5-13 | 39% | 1-4 | 25% | 3-5 | 60% | 0 | 0 | 1 | 2 | 4 | 2 | N/A | Orlando |\n| Evan Fournier | 26 | 12 | 1 | 1 | 5-9 | 56% | 0-2 | 0% | 2-3 | 67% | 1 | 1 | 0 | 0 | 1 | 3 | F | Orlando |\n| Aaron Gordon | 27 | 9 | 5 | 6 | 4-9 | 44% | 1-3 | 33% | 0-0 | 0% | 2 | 1 | 1 | 2 | 3 | 4 | F | Orlando |\n| Devyn Marble | 22 | 8 | 7 | 0 | 3-6 | 50% | 1-2 | 50% | 1-1 | 100% | 0 | 0 | 0 | 1 | 6 | 1 | N/A | Orlando |\n| Brandon Jennings | 13 | 7 | 3 | 5 | 3-5 | 60% | 1-1 | 100% | 0-0 | 0% | 1 | 0 | 0 | 1 | 2 | 1 | N/A | Orlando |\n| CJ Watson | 28 | 6 | 5 | 3 | 2-5 | 40% | 1-2 | 50% | 1-2 | 50% | 0 | 1 | 0 | 0 | 5 | 1 | N/A | Orlando |\n| Mario Hezonja | 22 | 5 | 1 | 1 | 2-3 | 67% | 1-1 | 100% | 0-0 | 0% | 1 | 1 | 1 | 0 | 1 | 1 | G | Orlando |\n| Shabazz Napier | 5 | 3 | 0 | 1 | 1-4 | 25% | 1-3 | 33% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 0 | N/A | Orlando |\n| Ersan Ilyasova | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Victor Oladipo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Taj Gibson | 26 | 16 | 3 | 1 | 8-9 | 89% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 2 | 1 | 2 | F | Chicago |\n| Jimmy Butler | 30 | 12 | 5 | 1 | 5-10 | 50% | 0-1 | 0% | 2-4 | 50% | 2 | 1 | 1 | 0 | 5 | 2 | G | Chicago |\n| Doug McDermott | 21 | 12 | 3 | 0 | 5-10 | 50% | 2-2 | 100% | 0-0 | 0% | 0 | 1 | 0 | 2 | 1 | 0 | N/A | Chicago |\n| Mike Dunleavy | 22 | 10 | 2 | 3 | 3-7 | 43% | 1-2 | 50% | 3-3 | 100% | 0 | 1 | 0 | 1 | 1 | 2 | F | Chicago |\n| Derrick Rose | 29 | 9 | 3 | 2 | 4-14 | 29% | 1-4 | 25% | 0-2 | 0% | 0 | 4 | 0 | 2 | 1 | 0 | G | Chicago |\n| Pau Gasol | 22 | 7 | 5 | 8 | 3-6 | 50% | 0-1 | 0% | 1-2 | 50% | 0 | 1 | 1 | 1 | 4 | 2 | C | Chicago |\n| Aaron Brooks | 18 | 6 | 0 | 3 | 3-6 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 0 | N/A | Chicago |\n| Nikola Mirotic | 20 | 4 | 4 | 0 | 1-7 | 14% | 1-7 | 14% | 1-2 | 50% | 0 | 1 | 0 | 0 | 4 | 0 | N/A | Chicago |\n| Justin Holiday | 18 | 4 | 1 | 2 | 1-6 | 17% | 0-3 | 0% | 2-2 | 100% | 0 | 0 | 1 | 0 | 1 | 4 | N/A | Chicago |\n| Bobby Portis | 19 | 4 | 7 | 0 | 1-8 | 13% | 0-1 | 0% | 2-2 | 100% | 0 | 0 | 0 | 3 | 4 | 2 | N/A | Chicago |\n| Tony Snell | 6 | 3 | 0 | 0 | 1-3 | 33% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Chicago |\n| Cristiano Felicio | 9 | 2 | 7 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 7 | 1 | N/A | Chicago |\n| E'Twaun Moore | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |" + } + ] + }, + { + "id": "table_recognition_train_item_59930", + "image": "table_instructV/images/TabFact_2-13909437-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| date | visitor | score | home | record |\n| --- | --- | --- | --- | --- |\n| april 1 | st louis | 1 - 1 | detroit | 36 - 24 - 16 |\n| april 3 | toronto | 2 - 2 | detroit | 36 - 24 - 17 |\n| april 5 | detroit | 4 - 2 | toronto | 37 - 24 - 17 |\n| april 8 | detroit | 3 - 2 | calgary | 38 - 24 - 17 |\n| april 9 | detroit | 3 - 3 | edmonton | 38 - 24 - 18 |\n| april 11 | ottawa | 3 - 2 | detroit | 38 - 25 - 18 |\n| april 13 | st louis | 3 - 1 | detroit | 38 - 26 - 18 |" + } + ] + }, + { + "id": "table_recognition_train_item_102717", + "image": "table_instructV/images/ToTTo_train_table_11330.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Section | Section title |\n| --- | --- |\n| 203(a) | Authority to share criminal investigation information : Authority to share Grand Jury information |\n| 203(c) | Authority to share criminal investigation information : Procedures |\n| 205 | Employment of translators by the Federal Bureau of Investigation |\n| 208 | Designation of judges |\n| 210 | Scope of subpoenas for records of electronic communications |\n| 211 | Clarification of scope |\n| 213 | Authority for delaying notice of the execution of a warrant |\n| 216 | Modification of authorities relating to use of pen registers and trap and trace devices |\n| 219 | Single-jurisdiction search warrants for terrorism |\n| 221 | Trade sanctions |\n| 222 | Assistance to law enforcement agencies |" + } + ] + }, + { + "id": "table_recognition_train_item_67076", + "image": "table_instructV/images/TabFact_2-18792938-9.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| title | series | director | production num | release date |\n| --- | --- | --- | --- | --- |\n| daffy duck and egghead | mm | tex avery | 8226 | 1938 - 01 - 01 |\n| porky 's poppa | lt | bob clampett | 8352 | 1938 - 01 - 15 |\n| my little buckeroo | mm | friz freleng | 8227 | 1938 - 01 - 29 |\n| porky at the crocadero | lt | frank tashlin | 8090 | 1938 - 02 - 05 |\n| jungle jitters | mm | friz freleng | 8306 | 1938 - 02 - 19 |\n| what price porky | lt | bob clampett | 8404 | 1938 - 02 - 26 |\n| the sneezing weasel | mm | tex avery | 8310 | 1938 - 03 - 12 |\n| porky 's phoney express | lt | cal howard , cal dalton | 8368 | 1938 - 03 - 19 |\n| a star is hatched | mm | friz freleng | 8536 | 1938 - 04 - 02 |\n| porky 's five and ten | lt | bob clampett | 8453 | 1938 - 04 - 16 |\n| the penguin parade | mm | tex avery | 8311 | 1938 - 04 - 23 |\n| porky 's hare hunt | lt | ben hardaway | 8405 | 1938 - 04 - 30 |\n| now that summer is gone | mm | frank tashlin | 8403 | 1938 - 05 - 14 |\n| injun trouble | lt | bob clampett | 8505 | 1938 - 05 - 21 |\n| the isle of pingo - pongo | mm | tex avery | 8402 | 1938 - 05 - 28 |\n| porky the fireman | lt | frank tashlin | 8182 | 1938 - 06 - 04 |\n| katnip kollege | mm | cal dalton , cal howard | 8487 | 1938 - 06 - 11 |\n| have you got any castles | mm | frank tashlin | 8425 | 1938 - 06 - 25 |\n| porky 's party | lt | bob clampett | 8592 | 1938 - 06 - 25 |\n| love and curses | mm | ben hardaway , cal dalton | 8504 | 1938 - 07 - 09 |\n| porky 's spring planting | lt | frank tashlin | 8307 | 1938 - 07 - 16 |\n| cinderella meets fella | mm | tex avery | 8424 | 1938 - 07 - 23 |\n| porky & daffy | lt | bob clampett | 8594 | 1938 - 08 - 06 |\n| major lied 'til dawn | mm | frank tashlin | 8488 | 1938 - 08 - 13 |\n| a - lad - in bagdad | mm | cal howard , cal dalton | 8595 | 1938 - 08 - 27 |\n| wholly smoke | lt | frank tashlin | 8309 | 1938 - 08 - 27 |\n| cracked ice | mm | frank tashlin | 8507 | 1938 - 09 - 10 |\n| a feud there was | mm | tex avery | 8506 , br 1317 | 1938 - 09 - 24 |\n| porky in wackyland | lt | bob clampett | 8608 | 1938 - 09 - 24 |\n| little pancho vanilla | mm | frank tashlin | 8599 | 1938 - 10 - 08 |\n| porky 's naughty nephew | lt | bob clampett | 8674 | 1938 - 10 - 15 |\n| johnny smith and poker - huntas | mm | tex avery | 8597 | 1938 - 10 - 22 |\n| porky in egypt | lt | bob clampett | 8682 | 1938 - 11 - 05 |\n| you 're an education | mm | frank tashlin | 8681 | 1938 - 11 - 05 |\n| the night watchman | mm | chuck jones | 8607 | 1938 - 11 - 19 |\n| the daffy doc | lt | bob clampett | 8686 | 1938 - 11 - 26 |\n| daffy duck in hollywood | mm | tex avery | 8609 | 1938 - 12 - 03 |\n| count me out | mm | ben hardaway , cal dalton | 8687 | 1938 - 12 - 17 |\n| porky the gob | lt | ben hardaway , cal dalton | 8610 | 1938 - 12 - 17 |\n| the mice will play | mm | tex avery | 8683 | 1938 - 12 - 31 |" + } + ] + }, + { + "id": "table_recognition_train_item_104385", + "image": "table_instructV/images/ToTTo_train_table_18437.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Year | Film | Director | Role | Co-Artist | Notes |\n| --- | --- | --- | --- | --- | --- |\n| 1990 | Chetona | Chhotku Ahmed | | | Debut Film |\n| | Aamor Shongi | Alamgir Kumkum | | | |\n| | Jyoti | Monwar Khokon | | | |\n| 1999 | Tomar Jonno Pagol | Shipli Chakrabarty | Doctor Hridoy | Riaz, Shabnur | |\n| 2001 | Rangbaz Badshah | Montazur Rahman Akbar | | Manna | |\n| 2003 | Kothin Simar | Montazur Rahman Akbar | Mithun | Manna, Popy, Moyuri | |\n| 2003 | Jamai Shasur | Shahadat Khan | Masud Khan | Riaz, Purnima | |\n| 2004 | Bhaier Shotru Bhai | Montazur Rahman Akbar | | Manna, Shabnur, Moyuri | |\n| 2012 | Bhalobashar Rong | Shahin-Sumon | Tufan | Mahiya Mahi, Bappy | debut as villain |\n| 2013 | Onnorokom Bhalobasha | | | Mahiya Mahi, Bappy | |\n| 2013 | Tobou Bhalobashi | Montazur Rahman Akbar | Lal | Mahiya Mahi, Bappy | |\n| 2013 | Full & FInal | Malek Afsari | Bokhtiar | Shakib Khan, Bobby | |\n| 2014 | Hero: The Superstar | Badiul Alam Khokon | Billa / Dollar | Shakib Khan, Apu Biswas, Bobby | |\n| 2015 | Agnee 2 | Iftekhar Chowdhury | Mithun Sarkar | Mahiya Mahi, Om | |\n| 2015 | Padmo Patar Jol | Tanmay Tansen | | Emon, Mim | |\n| 2016 | Angaar | Wazed Ali Sumon | | Om, Jolly | Released On 15 January 2016 |\n| 2016 | Rokto | Wazed Ali Sumon | | Pori Moni,Roshan | |\n| | Bossgiri | Shamim Ahamed Roni | DK the Dangerous Killer | Shakib Khan, Shabnam Bubly | |\n| 2017 | Boss 2: Back to Rule | Baba Yadav | Prince Shahnawaz Hussain | Jeet, Subhasree Ganguly, Nusrat Faria Mazhar | |\n| | Nabab | Joydeep Mukherjee | Kali | Shakib Khan, Subhasree Ganguly | |\n| 2017 | Rajneeti | Bulbul Biswash | | Shakib Khan | |\n| 2017 | Rangbaaz | Shamin Ahmed Ronny | Amit Chowdhury | Shakib Khan, Shabnom Bubly | |" + } + ] + }, + { + "id": "table_recognition_train_item_58302", + "image": "table_instructV/images/TabFact_1-14345690-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| celebrity | famous for | entered | exited | finished |\n| --- | --- | --- | --- | --- |\n| joe pasquale | comedian | day 1 | day 18 | 1st |\n| paul burrell | former butler to diana , princess of wales | day 1 | day 18 | 2nd |\n| janet street - porter | journalist and tv producer | day 1 | day 17 | 4th |\n| sophie anderton | model | day 1 | day 15 | 5th |\n| antonio fargas (credited as huggy bear) | actor | day 1 | day 14 | 6th |\n| sheila ferguson | the three degrees singer | day 1 | day 13 | 7th |\n| vic reeves | comedian | day 5 | day 12 | 8th |\n| nancy sorrell | model , wife of vic reeves | day 1 | day 11 | 9th |\n| natalie appleton | all saints and ex - appleton singer | day 1 | day 10 | 10th |" + } + ] + }, + { + "id": "table_recognition_train_item_107750", + "image": "table_instructV/images/ToTTo_train_table_32521.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | 12–4–1 | Israel Adesanya | Decision (split) | UFC on Fox: Poirier vs. Gaethje | April 14, 2018 | 3 | 5:00 | Glendale, Arizona, United States | |\n| Draw | 12–3–1 | Omari Akhmedov | Draw (majority) | UFC 219 | December 30, 2017 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 12–3 | Vitor Miranda | Decision (unanimous) | UFC Fight Night: Chiesa vs. Lee | June 25, 2017 | 3 | 5:00 | Oklahoma City, Oklahoma, United States | |\n| Loss | 11–3 | Antônio Carlos Júnior | Decision (unanimous) | UFC 207 | December 30, 2016 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 11–2 | Alberto Uda | Submission (guillotine choke) | UFC 202 | August 20, 2016 | 1 | 4:30 | Las Vegas, Nevada, United States | |\n| Win | 10–2 | Igor Araújo | Submission (guillotine choke) | Venator FC 3 | May 21, 2016 | 1 | 4:30 | Milan, Italy | Middleweight debut. |\n| Win | 9–2 | Jack Mason | KO (knee and punches) | Venator FC 2 | December 12, 2015 | 1 | 1:46 | Rimini, Italy | Originally for the Venator Welterweight Championship; Vettori missed weight. |\n| Win | 8–2 | Daniele Scatizzi | Decision (unanimous) | Venator FC 1 | May 30, 2015 | 3 | 5:00 | Bologna, Italy | Won the Venator FC Welterweight Championship. |\n| Win | 7–2 | Giorgio Pietrini | Submission (guillotine choke) | Venator FC: Guerrieri Italiani Semifinals | March 29, 2015 | 1 | 2:18 | Bologna, Italy | |\n| Win | 6–2 | Anderson da Silva Santos | TKO (punches and elbows) | Venator FC: Guerrieri Italiani Quarterfinals | January 25, 2015 | 1 | 1:07 | Bologna, Italy | |\n| Loss | 5–2 | Bill Beaumont | Decision (unanimous) | UCMMA 40 | September 6, 2014 | 3 | 5:00 | London, England | For the vacant UCMMA Welterweight Championship. |\n| Win | 5–1 | Giorgio Pietrini | Submission (toe-hold) | Impera FC 3 | June 13, 2014 | 1 | 3:14 | Rome, Italy | |\n| Win | 4–1 | Radovan Uskrt | Submission (triangle choke) | European MMA League 1 | February 8, 2014 | 1 | 1:49 | Zagreb, Croatia | |\n| Win | 3–1 | Luca Ronchetti | Submission (rear-naked choke) | Impera FC 2 | December 14, 2013 | 1 | 4;07 | Rome, Italy | |\n| Win | 2–1 | Matt Robinson | Submission (rear-naked choke) | UCMMA 37 | November 30, 2013 | 1 | 3:30 | London, England | |\n| Win | 1–1 | Tom Richards | Submission (rear-naked choke) | UCMMA 35 | August 3, 2013 | 1 | 1:31 | London, England | |\n| Loss | 0–1 | Alessandro Grandis | Decision (unanimous) | New Generation Tournament 6 | July 21, 2012 | 2 | 5:00 | Seveso, Italy | |" + } + ] + }, + { + "id": "table_recognition_train_item_31909", + "image": "table_instructV/images/TABMWP_12461.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Employee | Pay period | |\n| --- | --- |\n| Jamison Monroe | August 16-31 | |\n| Total earnings | | $2,057.00 |\n| Federal income tax | $280.04 | |\n| Other taxes | $157.30 | |\n| Total taxes | | ? |\n| Pay after taxes | | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_61172", + "image": "table_instructV/images/TabFact_1-1341843-10.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| district | incumbent | party | first elected | result | candidates |\n| --- | --- | --- | --- | --- | --- |\n| florida 1 | robert l f sikes | democratic | 1940 | re - elected | robert l f sikes (d) unopposed |\n| florida 2 | don fuqua redistricted from 9th | democratic | 1962 | re - elected | don fuqua (d) 76.3% harold hill (r) 23.7% |\n| florida 2 | donald ray matthews redistricted from 8th | democratic | 1952 | lost renomination democratic loss | don fuqua (d) 76.3% harold hill (r) 23.7% |\n| florida 3 | charles edward bennett redistricted from 2nd | democratic | 1948 | re - elected | charles edward bennett (d) unopposed |\n| florida 4 | albert s herlong , jr redistricted from 5th | democratic | 1948 | re - elected | albert s herlong , jr (d) unopposed |\n| florida 5 | edward j gurney redistricted from 11th | republican | 1962 | re - elected | edward j gurney (r) unopposed |\n| florida 6 | sam m gibbons redistricted from 10th | democratic | 1962 | re - elected | sam m gibbons (d) unopposed |\n| florida 9 | paul rogers redistricted from 6th | democratic | 1954 | re - elected | paul rogers (d) unopposed |\n| florida 10 | none (district created) | none (district created) | none (district created) | new seat republican gain | j herbert burke (r) 61.1% joe varon (d) 38.9% |\n| florida 11 | claude pepper redistricted from 3rd | democratic | 1962 | re - elected | claude pepper (d) unopposed |" + } + ] + }, + { + "id": "table_recognition_train_item_105548", + "image": "table_instructV/images/ToTTo_train_table_23278.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Season | Winner | Score | Runner-up | Referee | Venue | Att. |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1902 | Grane | 2 – 0 | Odd | Bredo Larsen, (Lyn Oslo) | Gamle Frogner stadion, Kristiania | |\n| 1903 | Odd | 1 – 0 | Grane | Finn Hagemann, (Lyn Oslo) | Gamle Frogner stadion, Kristiania | |\n| 1904 | Odd | 4 – 0 | Porsgrunds FC | Thomas Wiborg, (Kragerø IF Turn) | Skien Sportsplassen, Skien | 800 |\n| 1905 | Odd | 2 – 1 | Akademisk | Arthur Nordlie, (Lyn Oslo) | Gamle Frogner stadion, Kristiania | 3,000 |\n| 1906 | Odd | 1 – 0 | Sarpsborg | Sverre Strand, (SK Grane) | Gamle Frogner stadion, Kristiania | |\n| 1907 | Mercantile | 3 – 0 | Sarpsborg | August Heiberg Kahrs, (Lyn Oslo) | Nedre Frednes, Porsgrunn | 4,000 |\n| 1908 | Lyn | 3 – 2 | Odd | Charles Stanley Davis, (Sarpsborg FK) | Gamle Frogner stadion, Kristiania | |\n| 1909 | Lyn | 4 – 3 * | Odd | Christian Wiese, (Akademisk FK) | Gamle Frogner stadion, Kristiania | 4,000 |\n| 1910 | Lyn | 4 – 2 | Odd | Theodor Hansen, (Fredrikstad FK) | Gamle Frogner stadion, Kristiania | 5,000 |\n| 1911 | Lyn | 5 – 2 | Urædd | Ruben Gelbord, (Stockholm, Sweden) | Gamle Frogner stadion, Kristiania | 5,000 |\n| 1912 | Mercantile | 6 – 0 | Fram | Tryggve Lund, (Odd BK) | Gamle Frogner stadion, Kristiania | 2,000 |\n| 1913 | Odd | 2 – 1 | Mercantile | Ruben Gelbord, (Stockholm, Sweden) | Urædd stadion, Porsgrunn | 10,000 |\n| 1914 | Frigg | 4 – 2 | Gjøvik-Lyn | Daniel Eie, (Lyn Oslo) | Frogner stadion, Kristiania | 10,000 |\n| 1915 | Odd | 2 – 1 | Kvik Fredrikshald | Peder Christian Andersen, (Kristiania) | Sarpsborg stadion, Sarpsborg | 6,000 |\n| 1916 | Frigg | 2 – 0 | Ørn | Peder Christian Andersen, (Kristiania) | Skøitebanen, Trondheim | 4,000 |\n| 1917 | Sarpsborg | 4 – 1 | Brann | Arne Wendelborg, (Frigg Oslo) | Stavanger stadion, Stavanger | 10,000 |\n| 1918 | Kvik Fredrikshald | 4 – 0 | Brann | Ragnvald Smedvik, (Frigg Oslo) | Marienlyst stadion, Drammen | 12,000 |\n| 1919 | Odd | 1 – 0 | Frigg | Peder Christian Andersen, (Kristiania) | Fram sportsplass, Larvik | 10,000 |\n| 1920 | Ørn | 1 – 0 | Frigg | Fredrik Schieldrop, (Minde) | Vestre Holmen, Kristiania | 14,000 |\n| 1921 | Frigg Oslo | 2 – 0 | Odd | Alf Lagesen, (Drammens BK) | Vestre Holmen, Kristiania | 20,000 |\n| 1922 | Odd | 5 – 1 | Kvik Fredrikshald | Thorvald E. Johnsen, (Trygg) | Brann stadion, Bergen | 8,000 |\n| 1923 | Brann | 2 – 1 | Lyn | Karl Aug. Andersen, (Kvik Fredrikshald) | Odds gressbane, Skien | 8,000 |\n| 1924 | Odd | 3 – 0 | Mjøndalen | Trygve Høgbergh, (Fagerborg) | Sorgenfri gressbane, Trondheim | 7,000 |\n| 1925 | Brann | 3 – 0 | Sarpsborg | Fridtjof Johansen, (Holmestrand IF) | Old Fredrikstad Stadion, Fredrikstad | 10,000 |\n| 1926 | Odd | 3 – 0 | Ørn | Finn Grefberg, (Frigg Oslo) | Ullevaal Stadion, Oslo | 16,000 |\n| 1927 | Ørn | 4 – 0 | Drafn | Fritz Lütcherath, (Hasle-Løren) | Sandefjord stadion, Sandefjord | 3,000 |\n| 1928 | Ørn | 2 – 1 | Lyn | Paulus Nilsen, (Brodd) | Halden stadion, Halden | 6,717 |\n| 1929 | Sarpsborg | 2 – 1 * | Ørn | Thoralf Kristiansen, (Gjøa) | Stavanger stadion, Stavanger | 13,000 |\n| 1930 | Ørn | 4 – 2 | Drammens BK | Reidar Randers-Johansen, (Trygg) | Brann stadion, Bergen | 6,000 |\n| 1931 | Odd | 3 – 1 | Mjøndalen | Bjarne H. Bech, (Ørn) | Lovisenlund idrettsplass, Larvik | 13,000 |\n| 1932 | Fredrikstad | 6 – 1 | Ørn | Oscar Arvid Carlsen, (Lillestrøm) | Marienlyst stadion, Drammen | 17,000 |\n| 1933 | Mjøndalen | 3 – 1 | Viking | Eivind Johansen, (Larvik Turn) | Ullevaal Stadion, Oslo | 23,000 |\n| 1934 | Mjøndalen | 2 – 1 * | Sarpsborg | Kolbjørn Dæhlen, (Skeid Fotball) | Sorgenfri gressbane, Trondheim | 8,000 |\n| 1935 | Fredrikstad | 4 – 0 | Sarpsborg | Thoralf Christiansen, (Stavanger IF) | Sarpsborg stadion, Sarpsborg | 15,200 |\n| 1936 | Fredrikstad | 2 – 0 | Mjøndalen | Kåre Gunnar Kinn, (Eidsvold IF) | Ullevaal Stadion, Oslo | 20,000 |\n| 1937 | Mjøndalen | 4 – 2 | Odd | Alf Simensen, (Sarpsborg FK) | Urædd stadion, Porsgrunn | 17,000 |\n| 1938 | Fredrikstad | 3 – 2 * | Mjøndalen | Finn Amundsen, (Lyn Oslo) | Briskeby gressbane, Hamar | 14,500 |\n| 1939 | Sarpsborg | 2 – 1 | Skeid | Gullik Hagajore, (Tønsberg Turnforening) | Tønsberg gressbane, Tønsberg | 8,000 |\n| 1940 | Fredrikstad | 3 – 0 | Skeid | Thorleiv Nordbø, (Frigg Oslo FK) | Ullevaal Stadion, Oslo | 30,000 |\n| 1945 | Lyn | 1 – 1 * | Fredrikstad | Haakon Engebretsen, (SK Brage) | Ullevaal Stadion, Oslo | 34,162 |\n| 1945 (R) | Lyn | 1 – 1 * | Fredrikstad | Edvin Pedersen, (SK Gjøa) | Sarpsborg stadion, Sarpsborg | 18,000 |\n| 1945 (2R) | Lyn | 4 – 0 | Fredrikstad | Nils Gundersen, (Fram Larvik) | Bislett Stadium, Oslo | 31,412 |\n| 1946 | Lyn | 3 – 2 * | Fredrikstad | Sverre Hermansen, (Fjellkameratene IL) | Ullevaal Stadion, Oslo | 35,000 |\n| 1947 | Skeid | 2 – 0 | Viking | Bjarne Halvorsen, (Skiold Fotball) | Brann stadion, Bergen | 25,000 |\n| 1948 | Sarpsborg | 1 – 0 | Fredrikstad | Johan Narvestad, (Hasle-Løren) | Ullevaal Stadion, Oslo | 35,000 |\n| 1949 | Sarpsborg | 3 – 1 | Skeid | Svend J. Svendsen, (Torp IF) | Ullevaal Stadion, Oslo | 36,000 |\n| 1950 | Fredrikstad | 3 – 0 | Brann | Josef Larsen, (Frigg Oslo FK) | Ullevaal Stadion, Oslo | 35,367 |\n| 1951 | Sarpsborg | 3 – 2 * | Asker | Folke Bålstad, (Mercantile/Trygg) | Ullevaal Stadion, Oslo | 30,639 |\n| 1952 | Sparta | 3 – 2 | Solberg | Helge Ladim, (Grüner IL) | Ullevaal Stadion, Oslo | 30,639 |\n| 1953 | Viking | 2 – 1 | Lillestrøm | Øivind Helgesen, (Liull) | Ullevaal Stadion, Oslo | 31,102 |\n| 1954 | Skeid | 3 – 0 | Fredrikstad | Finn Å. Bråthen, (Lillestrøm SK) | Ullevaal Stadion, Oslo | 34,794 |\n| 1955 | Skeid | 5 – 0 | Lillestrøm | Henry Klausen, (Sarpsborg FK) | Ullevaal Stadion, Oslo | 33,825 |\n| 1956 | Skeid | 2 – 0 | Larvik Turn | Gunnar Andersen, (Ulefoss SF) | Ullevaal Stadion, Oslo | 33,444 |\n| 1957 | Fredrikstad | 4 – 0 | Sandefjord BK | Leif Gulliksen, (Ørn FK) | Ullevaal Stadion, Oslo | 33,073 |\n| 1958 | Skeid | 1 – 0 | Lillestrøm | Birger Nilsen, (Grüner IL) | Ullevaal Stadion, Oslo | 32,579 |\n| 1959 | Viking | 3 – 1 | Sandefjord BK | Trygve Dahlgren, (IF Urædd) | Ullevaal Stadion, Oslo | 28,195 |\n| 1960 | Rosenborg | 3 – 3 * | Odd | Harald Heltberg, (Frigg Oslo FK) | Ullevaal Stadion, Oslo | 31,135 |\n| 1960 (R) | Rosenborg | 3 – 2 | Odd | Arnold Nilsen, (Nymark IL) | Ullevaal Stadion, Oslo | 29,743 |\n| 1961 | Fredrikstad | 7 – 0 | Haugar | Bjørn Borgersen, (Mercantile SFK) | Ullevaal Stadion, Oslo | 30,273 |\n| 1962 | Gjøvik-Lyn | 2 – 0 | Vard | Georg Dragvoll, (IK Brage) | Ullevaal Stadion, Oslo | 31,157 |\n| 1963 | Skeid | 2 – 0 * | Fredrikstad | Kåre Furulund, (Hasle-Løren) | Ullevaal Stadion, Oslo | 31,444 |\n| 1964 | Rosenborg | 2 – 1 | Sarpsborg | Johan Riseth, (Namsos IL) | Ullevaal Stadion, Oslo | 24,665 |\n| 1965 | Skeid | 2 – 2 * | Frigg | Finn Bolstad, (Skiold Fotball) | Ullevaal Stadion, Oslo | 18,821 |\n| 1965 (R) | Skeid | 1 – 1 * | Frigg | Rolf Hansen, (Skiens-Grane IF) | Ullevaal Stadion, Oslo | 8,826 |\n| 1965 (2R) | Skeid | 2 – 1 | Frigg | Sverre Eugen Olsen, (Akademisk BK) | Ullevaal Stadion, Oslo | 8,990 |\n| 1966 | Fredrikstad | 3 – 2 | Lyn | Hans Granlund, (Heggedal IL) | Ullevaal Stadion, Oslo | 30,335 |\n| 1967 | Lyn | 4 – 1 | Rosenborg | Ivar Hornslien, (Nydalen) | Ullevaal Stadion, Oslo | 27,389 |\n| 1968 | Lyn | 3 – 0 | Mjøndalen | Henry Øberg, (Hamar IL) | Ullevaal Stadion, Oslo | 21,101 |\n| 1969 | Strømsgodset | 2 – 2 * | Fredrikstad | Rolf H. Andersen, (Skeid Fotball) | Ullevaal Stadion, Oslo | 27,529 |\n| 1969 (R) | Strømsgodset | 5 – 3 | Fredrikstad | Kåre Sirevaag, (Viking FK) | Ullevaal Stadion, Oslo | 24,022 |\n| 1970 | Strømsgodset | 4 – 2 | Lyn | Einar Røed, (Tønsberg Turnforening) | Ullevaal Stadion, Oslo | 25,744 |\n| 1971 | Rosenborg | 4 – 1 | Fredrikstad | Rolf Nyhus, (Nordstrand IF) | Ullevaal Stadion, Oslo | 25,180 |\n| 1972 | Brann | 1 – 0 | Rosenborg | Kjell Wahlen, (Skeid Fotball) | Ullevaal Stadion, Oslo | 17,700 |\n| 1973 | Strømsgodset | 1 – 0 | Rosenborg | Svein-Inge Thime, (Stavanger IF) | Ullevaal Stadion, Oslo | 23,209 |\n| 1974 | Skeid | 3 – 1 | Viking | Egil Bergstad, (Borre IF) | Ullevaal Stadion, Oslo | 14,276 |\n| 1975 | Bodø/Glimt | 2 – 0 | Vard | Kaare Lindboe, (FK Vidar) | Ullevaal Stadion, Oslo | 24,778 |\n| 1976 | Brann | 2 – 1 | Sogndal | Odd Johannessen, (Vang FL) | Ullevaal Stadion, Oslo | 22,834 |\n| 1977 | Lillestrøm | 1 – 0 | Bodø/Glimt | Rolf Haugen, (Lillehammer FK) | Ullevaal Stadion, Oslo | 22,648 |\n| 1978 | Lillestrøm | 2 – 1 | Brann | Reidar Bjørnestad, (IL Sandviken) | Ullevaal Stadion, Oslo | 23,534 |\n| 1979 | Viking | 2 – 1 | Haugar | Ivar Fredriksen, (Lillestrøm SK) | Ullevaal Stadion, Oslo | 25,000 |\n| 1980 | Vålerenga | 4 – 1 | Lillestrøm | Einar Halle, (Molde FK) | Ullevaal Stadion, Oslo | 23,000 |\n| 1981 | Lillestrøm | 3 – 1 | Moss | Jan Erik Olsen, (Drammens BK) | Ullevaal Stadion, Oslo | 22,895 |\n| 1982 | Brann | 3 – 2 | Molde | Torbjørn Aass, (SK Brage) | Ullevaal Stadion, Oslo | 24,000 |\n| 1983 | Moss | 2 – 0 | Vålerenga | Thorodd Presberg, (Strømsgodset IF) | Ullevaal Stadion, Oslo | 23,000 |\n| 1984 | Fredrikstad | 3 – 3 * | Viking | Per Arne Larsgård, (Sandefjord BK) | Ullevaal Stadion, Oslo | 23,668 |\n| 1984 (R) | Fredrikstad | 3 – 2 | Viking | Einar Halle, (Molde FK) | Ullevaal Stadion, Oslo | 15,993 |\n| 1985 | Lillestrøm | 4 – 1 | Vålerenga | Tore Hollung, (Østsiden IL) | Ullevaal Stadion, Oslo | 18,500 |\n| 1986 | Tromsø | 4 – 1 | Lillestrøm | Egil Nervik, (SK Freidig) | Ullevaal Stadion, Oslo | 22,000 |\n| 1987 | Bryne | 1 – 0 * | Brann | Kjell Nordby, (Rygge IL) | Ullevaal Stadion, Oslo | 23,080 |\n| 1988 | Rosenborg | 2 – 2 * | Brann | Bjørn Kronborg, (Faaberg Fotball) | Ullevaal Stadion, Oslo | 23,500 |\n| 1988 (R) | Rosenborg | 2 – 0 | Brann | Thorodd Presberg, (Strømsgodset IF) | Ullevaal Stadion, Oslo | 23,700 |\n| 1989 | Viking | 2 – 2 * | Molde | Rune Pedersen, (SK Sprint/Jeløy) | Ullevaal Stadion, Oslo | 23,000 |\n| 1989 (R) | Viking | 2 – 1 | Molde | Egil Nervik, (SK Freidig) | Ullevaal Stadion, Oslo | 9,856 |\n| 1990 | Rosenborg | 5 – 1 | Fyllingen | Arild Haugstad, (Faaberg Fotball) | Ullevaal Stadion, Oslo | 30,000 |\n| 1991 | Strømsgodset | 3 – 2 | Rosenborg | Roy Helge Olsen, (Frigg Oslo FK) | Ullevaal Stadion, Oslo | 27,240 |\n| 1992 | Rosenborg | 3 – 2 | Lillestrøm | Rune Pedersen, (SK Sprint/Jeløy) | Ullevaal Stadion, Oslo | 28,217 |\n| 1993 | Bodø/Glimt | 2 – 0 | Strømsgodset | Sven Kjelbrott, (Haugerud IF) | Ullevaal Stadion, Oslo | 26,315 |\n| 1994 | Molde | 3 – 2 | Lyn | Terje Singsaas, (Rosenborg BK) | Ullevaal Stadion, Oslo | 24,524 |\n| 1995 | Rosenborg | 1 – 1 * | Brann | Jon E. Skjervold, (Fet IL) | Ullevaal Stadion, Oslo | 27,561 |\n| 1995 (R) | Rosenborg | 3 – 1 | Brann | Rune Pedersen, (SK Sprint/Jeløy) | Ullevaal Stadion, Oslo | 20,076 |\n| 1996 | Tromsø | 2 – 1 | Bodø/Glimt | Terje Hauge, (Lyngbø SK) | Ullevaal Stadion, Oslo | 22,683 |\n| 1997 | Vålerenga | 4 – 2 | Strømsgodset | Roy Helge Olsen, (Harstad IL) | Ullevaal Stadion, Oslo | 22,678 |\n| 1998 | Stabæk | 3 – 1 * | Rosenborg | Rune Pedersen, (SK Sprint/Jeløy) | Ullevaal Stadion, Oslo | 23,251 |\n| 1999 | Rosenborg | 2 – 0 | Brann | Tom Henning Øvrebø, (Nordstrand IF) | Ullevaal Stadion, Oslo | 25,296 |\n| 2000 | Odd Grenland | 2 – 1 * | Viking | Frode Kvam, (Strindheim IL) | Ullevaal Stadion, Oslo | 24,864 |\n| 2001 | Viking | 3 – 0 | Bryne | Kjell Alseth, (Stjørdals/Blink IL) | Ullevaal Stadion, Oslo | 25,823 |\n| 2002 | Vålerenga | 1 – 0 | Odd Grenland | Tommy Skjerven, (Kaupanger IL) | Ullevaal Stadion, Oslo | 25,481 |\n| 2003 | Rosenborg | 3 – 1 * | Bodø/Glimt | Terje Hauge, (Olsvik IL) | Ullevaal Stadion, Oslo | 25,447 |\n| 2004 | Brann | 4 – 1 | Lyn | Espen Berntsen, (Vang FL) | Ullevaal Stadion, Oslo | 25,458 |\n| 2005 | Molde | 4 - 2 * | Lillestrøm | Brage Sandmoen, (Kjelsås IL) | Ullevaal Stadion, Oslo | 25,182 |\n| 2006 | Fredrikstad | 3 – 0 | Sandefjord Fotball | Tom Henning Øvrebø, (Nordstrand IF) | Ullevaal Stadion, Oslo | 25,102 |\n| 2007 | Lillestrøm | 2 – 0 | Haugesund | Per Ivar Staberg, (Harstad IL) | Ullevaal Stadion, Oslo | 24,361 |\n| 2008 | Vålerenga | 4 – 1 | Stabæk | Svein Oddvar Moen, (SK Haugar) | Ullevaal Stadion, Oslo | 24,823 |\n| 2009 | Aalesund | 2 – 2 † (5–4 pen.) | Molde | Kristoffer Helgerud, (Lier IL) | Ullevaal Stadion, Oslo | 25,500 |\n| 2010 | Strømsgodset | 2 – 0 | Follo | Tom Harald Hagen, (Grue IL) | Ullevaal Stadion, Oslo | 24,500 |\n| 2011 | Aalesund | 2 – 1 | Brann | Svein-Erik Edvartsen, (Hamar IL) | Ullevaal Stadion, Oslo | 25,032 |\n| 2012 | Hødd | 1 – 1 † (4–2 pen.) | Tromsø | Kjetil Sælen, (Arna-Bjørnar) | Ullevaal Stadion, Oslo | 24,217 |\n| 2013 | Molde | 4 – 2 | Rosenborg | Svein Oddvar Moen, (SK Haugar) | Ullevaal Stadion, Oslo | 24,824 |\n| 2014 | Molde | 2 – 0 | Odd | Dag Vidar Hafsås, (Kolstad Fotball) | Ullevaal Stadion, Oslo | 26,528 |\n| 2015 | Rosenborg | 2 – 0 | Sarpsborg 08 | Ken Henry Johnsen, (Husøy & Foynland IF) | Ullevaal Stadion, Oslo | 26,507 |\n| 2016 | Rosenborg | 4 – 0 | Kongsvinger | Tore Hansen (Feda IL) | Ullevaal Stadion, Oslo | 26,912 |\n| 2017 | Lillestrøm | 3 – 2 | Sarpsborg 08 | Ola Hobber Nilsen (Nordstrand IF) | Ullevaal Stadion, Oslo | 25,091 |\n| 2018 | Rosenborg | 4 – 1 | Strømsgodset | Trond Ivar Døvle (Fjellhamar FK) | Ullevaal Stadion, Oslo | 22,182 |" + } + ] + }, + { + "id": "table_recognition_train_item_35267", + "image": "table_instructV/images/TABMWP_28209.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| | Front door of the house | Back door of the house |\n| --- | --- | --- |\n| Blue sticker | 2 | 3 |\n| Green sticker | 3 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_55732", + "image": "table_instructV/images/TabFact_1-24910737-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| no in series | no in season | title | directed by | written by | original air date | us viewers (millions) |\n| --- | --- | --- | --- | --- | --- | --- |\n| 10 | 1 | a family thing | mark tinker | shonda rhimes & marti noxon | october 1 , 2008 | 8.16 |\n| 11 | 2 | equal and opposite | tom verica | mike ostrowski | october 8 , 2008 | 7.40 |\n| 12 | 3 | nothing to talk about | helen shaver | ayanna a floyd | october 22 , 2008 | 7.98 |\n| 13 | 4 | past tense | michael pressman | craig turk | october 29 , 2008 | 7.93 |\n| 14 | 5 | let it go | michael zinberg | lauren schmidt | november 5 , 2008 | 9.54 |\n| 15 | 6 | serving two masters | joanna kerns | emily halpern | november 19 , 2008 | 7.14 |\n| 16 | 7 | tempting faith | james frawley | jon cowan & robert l rovner | november 26 , 2008 | 6.33 |\n| 17 | 8 | crime and punishment | mark tinker | shonda rhimes | december 3 , 2008 | 7.78 |\n| 18 | 9 | know when to fold | jeff melman | elizabeth jb klaviter | december 10 , 2008 | 6.86 |\n| 19 | 10 | worlds apart | bethany rooney | steve blackman | december 17 , 2008 | 6.61 |\n| 20 | 11 | contamination | kate woods | fred einesman | january 8 , 2009 | 8.98 |\n| 21 | 12 | homeward bound | mark tinker | sal calleros | january 15 , 2009 | 8.49 |\n| 22 | 13 | nothing to fear | allison liddi - brown | jon cowan & robert rovner | january 22 , 2009 | 9.49 |\n| 23 | 14 | second chances | james frawley | craig turk | january 29 , 2009 | 7.74 |\n| 24 | 15 | acceptance | steve gomer | mike ostrowski | february 5 , 2009 | 12.91 |\n| 26 | 17 | wait and see | michael zinberg | steve blackman | february 19 , 2009 | 11.16 |\n| 27 | 18 | finishing | donna deitch | shonda rhimes | march 12 , 2009 | 8.80 |\n| 28 | 19 | what women want | mark tinker | lauren schmidt | march 19 , 2009 | 9.74 |\n| 29 | 20 | do the right thing | eric stoltz | craig turk | march 26 , 2009 | 10.12 |\n| 30 | 21 | what you do for love | tom verica | ayanna a floyd | april 23 , 2009 | 9.08 |" + } + ] + }, + { + "id": "table_recognition_train_item_105814", + "image": "table_instructV/images/ToTTo_train_table_24393.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Win | 19–4 | Brent Primus | Decision (unanimous) | Bellator 212 | December 14, 2018 | 5 | 5:00 | Honolulu, Hawaii, United States | Won the Bellator Lightweight World Championship. |\n| Win | 18–4 | Brandon Girtz | Technical Submission (arm-triangle choke) | Bellator 197 | April 13, 2018 | 1 | 4:00 | St. Charles, Missouri, United States | |\n| Win | 17–4 | Goiti Yamauchi | Decision (unanimous) | Bellator 192 | January 20, 2018 | 3 | 5:00 | Inglewood, California, United States | |\n| Loss | 16–4 | Brent Primus | TKO (leg injury) | Bellator NYC | June 24, 2017 | 1 | 2:22 | New York City, New York, United States | Lost the Bellator Lightweight World Championship. |\n| Win | 16–3 | Benson Henderson | Decision (split) | Bellator 165 | November 19, 2016 | 5 | 5:00 | San Jose, California, United States | Defended the Bellator Lightweight World Championship. |\n| Win | 15–3 | Patricky Freire | KO (punch) | Bellator 157: Dynamite 2 | June 24, 2016 | 1 | 2:14 | St. Louis, Missouri, United States | Won the vacant Bellator Lightweight World Championship. |\n| Win | 14–3 | David Rickels | TKO (punches) | Bellator 145 | November 6, 2015 | 2 | 3:05 | St. Louis, Missouri, United States | |\n| Win | 13–3 | Derek Campos | Submission (rear-naked choke) | Bellator 138 | June 19, 2015 | 1 | 2:17 | St. Louis, Missouri, United States | |\n| Loss | 12–3 | Will Brooks | TKO (punches) | Bellator 131 | November 15, 2014 | 4 | 3:48 | San Diego, California, United States | For the vacant Bellator Lightweight World Championship. |\n| Loss | 12–2 | Will Brooks | Decision (split) | Bellator 120 | May 17, 2014 | 5 | 5:00 | Southaven, Mississippi, United States | For the interim Bellator Lightweight Championship. |\n| Loss | 12–1 | Eddie Alvarez | Decision (split) | Bellator 106 | November 2, 2013 | 5 | 5:00 | Long Beach, California, United States | Lost the Bellator Lightweight World Championship. For the Lineal Lightweight Championship. |\n| Win | 12–0 | David Rickels | KO (punches) | Bellator 97 | July 31, 2013 | 1 | 0:44 | Rio Rancho, New Mexico, United States | Defended the Bellator Lightweight World Championship. |\n| Win | 11–0 | Rick Hawn | Submission (rear-naked choke) | Bellator 85 | January 17, 2013 | 2 | 3:07 | Irvine, California, United States | Defended the Bellator Lightweight World Championship. |\n| Win | 10–0 | Akihiro Gono | TKO (punches) | Bellator 67 | May 4, 2012 | 1 | 0:56 | Rama, Ontario, Canada | Non-title bout. |\n| Win | 9–0 | Eddie Alvarez | Submission (rear-naked choke) | Bellator 58 | November 19, 2011 | 4 | 3:06 | Hollywood, Florida, United States | Won the Bellator Lightweight World Championship. |\n| Win | 8–0 | Patricky Freire | Decision (unanimous) | Bellator 44 | May 14, 2011 | 3 | 5:00 | Atlantic City, New Jersey, United States | Bellator Lightweight Tournament Final. |\n| Win | 7–0 | Lloyd Woodard | Decision (unanimous) | Bellator 40 | April 9, 2011 | 3 | 5:00 | Newkirk, Oklahoma, United States | Bellator Lightweight Tournament Semifinal. |\n| Win | 6–0 | Marcin Held | Technical Submission (arm-triangle choke) | Bellator 36 | March 12, 2011 | 1 | 3:56 | Shreveport, Louisiana, United States | Lightweight debut; Bellator Lightweight Tournament Quarterfinal. |\n| Win | 5–0 | Chris Page | Submission (standing guillotine choke) | Bellator 32 | October 14, 2010 | 1 | 0:57 | Kansas City, Missouri, United States | |\n| Win | 4–0 | Scott Stapp | TKO (punches) | Bellator 31 | September 30, 2010 | 1 | 1:57 | Lake Charles, Louisiana, United States | Catchweight (165 lbs) bout. |\n| Win | 3–0 | Sal Woods | Submission (rear-naked choke) | Strikeforce: Heavy Artillery | May 15, 2010 | 1 | 0:59 | St. Louis, Missouri, United States | |\n| Win | 2–0 | Richard Bouphanouvong | TKO (punches) | Strikeforce Challengers: Woodley vs. Bears | November 20, 2009 | 2 | 2:07 | Kansas City, Kansas, United States | Catchweight (165 lbs) bout. |\n| Win | 1–0 | Kyle Swadley | TKO (punches) | FB - First Blood | August 8, 2009 | 1 | 3:30 | Lake Ozark, Missouri, United States | |" + } + ] + }, + { + "id": "table_recognition_train_item_68978", + "image": "table_instructV/images/TabFact_2-17300616-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| show | host (s) | flagship | market | iheartradio |\n| --- | --- | --- | --- | --- |\n| armstrong & getty | jack armstrong , joe getty | kste | sacramento | n / a |\n| bob and the showgram | bob dumas | wdcg | raleigh | listen live |\n| bronson and christine | bob bronson , christine nagy | wltw | new york | n / a |\n| the john and ken show | john kobylt , kenneth chiampou | kfi | los angeles | n / a |\n| johnjay and rich | johnjay van es , rich berra | kzzp | phoenix | listen live |\n| mojo in the morning | mojo (tom carballo) | wkqi | detroit | listen live |\n| murphy , sam , and jodi | bob murphy , sam north , jodi carson | krve | baton rouge | n / a |\n| the paul and young ron show | paul castronovo , ron brewer | wbgg - fm | fort lauderdale | n / a |\n| rover 's morning glory | rover (shane french) | wmms | cleveland | listen live |\n| sean valentine in the morning | sean valentine | kbig | los angeles | n / a |\n| the war room with quinn and rose | jim quinn , rose somma tennent | wpgb | pittsburgh | n / a |\n| the travel show | don shafer , larry gelwix | knrs | salt lake city | n / a |" + } + ] + }, + { + "id": "table_recognition_train_item_35560", + "image": "table_instructV/images/TABMWP_37511.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $335 | 7,100 | 2,300 |\n| $355 | 6,900 | 5,600 |\n| $375 | 6,700 | 8,900 |\n| $395 | 6,500 | 12,200 |\n| $415 | 6,300 | 15,500 |" + } + ] + }, + { + "id": "table_recognition_train_item_61866", + "image": "table_instructV/images/TabFact_1-11963536-11.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | series |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | may 3 | san antonio | 101 - 82 | west (30) | chandler (15) | paul (13) | new orleans arena 18040 | 1 - 0 |\n| 2 | may 5 | san antonio | 102 - 84 | paul (30) | chandler (11) | paul (12) | new orleans arena 17927 | 2 - 0 |\n| 3 | may 8 | san antonio | 99 - 110 | paul (35) | west (12) | paul (9) | at&t center 18797 | 2 - 1 |\n| 4 | may 11 | san antonio | 80 - 100 | paul (23) | armstrong , paul (6) | paul (5) | at&t center 18797 | 2 - 2 |\n| 5 | may 13 | san antonio | 101 - 79 | west (38) | west (14) | paul (14) | new orleans arena 18246 | 3 - 2 |\n| 6 | may 15 | san antonio | 80 - 99 | paul (21) | five - way tie (6) | paul (8) | at&t center 18797 | 3 - 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_49798", + "image": "table_instructV/images/TAT-QA_60e41415-08a6-4cf7-b324-01a47fd033a4.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| | Fiscal year ended January 31, 2019 | Change compared to prior fiscal year | | Fiscal year ended January 31, 2018 | Management comments |\n| --- | --- | --- | --- | --- | --- |\n| (in millions) | | $ | % | | |\n| Cost of revenue: | | | | | |\n| Subscription and maintenance | $216.0 | $1.6 | 1% | $214.4 | Up primarily due to an increase in cloud hosting costs partially offset by a decrease in royalty and depreciation expense. |\n| Other (1) | 54.4 | (18.2) | (25)% | 72.6 | Down primarily due to lower employee-related costs from reduced headcount associated with the Fiscal 2018 Plan restructuring and lower professional fees. |\n| Amortization of developed technology | 15.5 | (0.9) | (5)% | 16.4 | Down as previously acquired developed technologies continue to become fully amortized. |\n| Total cost of revenue | $285.9 | $(17.5) | (6)% | $303.4 | |\n| Marketing and sales | $1,183.9 | $96.6 | 9% | $1,087.3 | Up due to increased employee-related costs driven by higher headcount, as well as higher cloud hosting costs and professional fees. |\n| Research and development | 725.0 | (30.5) | (4)% | 755.5 | Down due to a decrease in employee-related costs from lower headcount associated with the Fiscal 2018 plan restructuring partially offset by higher professional fees. |\n| General and administrative | 340.1 | 34.9 | 11% | 305.2 | Up primarily due to higher professional fees, employee-related costs and facilities costs, partially offset by lower employee benefits costs. |\n| Amortization of purchased intangibles | 18.0 | (2.2) | (11)% | 20.2 | Down as previously acquired intangible assets continue to become fully amortized. |\n| Restructuring and other exit costs, net | 41.9 | (52.2) | (55)% | 94.1 | Down as we substantially completed the reduction in force and facilities consolidation of the Fiscal 2018 Plan. |\n| | $ 2,308.9 | $46.6 | 2% | $2,262.3 | |" + } + ] + }, + { + "id": "table_recognition_train_item_56900", + "image": "table_instructV/images/TabFact_2-10503963-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| network | origin of programming | language | genre | service |\n| --- | --- | --- | --- | --- |\n| abp news | india | hindi | news | pehla |\n| ary digital | pakistan | urdu | general | pehla |\n| asianet | india | malayalam | general | pehla |\n| asianet news | india | malayalam | news | pehla |\n| channel india | india | hindi | music | pehla |\n| colors | india | hindi | general | pehla |\n| gemini tv | india | telugu | general | pehla |\n| geo tv | pakistan | urdu | general | pehla |\n| hum tv | pakistan | urdu | general | pehla |\n| indus vision | pakistan | urdu | general | pehla |\n| jaya tv | india | tamil | general | pehla |\n| kairali | india | malayalam | general | pehla |\n| life ok | india | hindi | general | pehla |\n| mtv india | india | hindi | music | pehla |\n| ndtv 24x7 | india | english | news | pehla |\n| set max | india | hindi | movies | pehla |\n| sony entertainment television asia | india | hindi | general | pehla |\n| star gold | india | hindi | movies | pehla |\n| star jalsha | india | bengali | general | pehla |\n| star plus | india | hindi | general | pehla |\n| sun tv | india | tamil | general | pehla |\n| surya tv | india | malayalam | general | pehla |\n| ten cricket | india | english | cricket | pehla |\n| udaya tv | india | kannada | general | pehla |\n| vijay | india | tamil | general | pehla |\n| times now | india | english | news | pehla |\n| utv bindass | india | hindi | general | pehla |\n| utv movies | india | hindi | movies | pehla |\n| utv stars | india | hindi | movies | pehla |\n| zee cinema | india | hindi | movies | pehla |\n| zee news | india | hindi | news | pehla |\n| zee tv | india | hindi | general | pehla |" + } + ] + }, + { + "id": "table_recognition_train_item_52004", + "image": "table_instructV/images/TabFact_2-16278349-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| province | map | iso 3166 - 2: af | centers | population | area (km square) | language | notes | un region |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| badakhshan | 30 | af - bds | fayzabad | 823000 | 44059 | dari persian | composed of 29 districts | north east afghanistan |\n| badghis | 4 | af - bdg | qala i naw | 429500 | 20591 | dari persian , pashto | 7 districts | west afghanistan |\n| baghlan | 19 | af - bgl | puli khumri | 779000 | 21118 | dari persian uzbek , turkmen , pashto | 16 districts | north east afghanistan |\n| balkh | 13 | af - bal | mazari sharif | 1096100 | 17249 | dari persian | 15 districts | north afghanistan |\n| bamyan | 15 | af - bam | bamyan | 387300 | 14175 | dari persian | 7 districts | east central afghanistan |\n| daykundi | 10 | af - day | nili | 399600 | 8088 | dari persian | 8 districts formed from orūzgān province in 2004 | south west afghanistan |\n| farah | 2 | af - fra | farah | 438000 | 48471 | pashto , dari persian , baloch | 11 districts | west afghanistan |\n| faryab | 5 | af - fyb | maymana | 858600 | 20293 | dari persian , turkmen and uzbek | 14 districts | west afghanistan |\n| ghazni | 16 | af - gha | ghazni | 931000 | 22915 | pashto , dari persian | 19 districts | south afghanistan |\n| ghor | 6 | af - gho | chaghcharan | 485000 | 36479 | dari persian | 10 districts | east central afghanistan |\n| helmand | 7 | af - hel | lashkar gah | 745000 | 58584 | pashto | 13 districts | south west afghanistan |\n| herat | 1 | af - her | herat | 1182000 | 54778 | dari persian , pashto | 15 districts | west afghanistan |\n| jowzjan | 8 | af - jow | sheberghan | 441000 | 11798 | uzbek , dari persian | 9 districts | north afghanistan |\n| kabul | 22 | af - kab | kabul | 3314000 | 4462 | pashto , dari persian , turkmen and uzbek | 15 districts | central afghanistan |\n| kandahar | 12 | af - kan | kandahar | 886000 | 54022 | pashto , dari persian | 16 districts | south west afghanistan |\n| kapisa | 29 | af - kap | mahmud - i - raqi | 360000 | 1842 | dari persian | 7 districts | central afghanistan |\n| khost | 26 | af - kho | khost | 300000 | 4152 | pashto | 13 districts | south afghanistan |\n| kunar | 34 | af - knr | asadabad | 321000 | 4942 | pashto | 15 districts | east afghanistan |\n| kunduz | 18 | af - kdz | kunduz | 820000 | 8040 | dari persian , uzbek , turkmen , pashto | 7 districts | north east afghanistan |\n| laghman | 32 | af - lag | mihtarlam district | 373000 | 3843 | pashto , dari persian and pashai | 5 districts | east afghanistan |\n| lowgar | 23 | af - low | pul - i - alam | 292000 | 3880 | dari persian , pashto | 7 districts | central afghanistan |\n| nangarhar | 33 | af - nan | jalalabad | 1089000 | 7727 | pashto , dari persian | 23 districts | east afghanistan |\n| nimruz | 3 | af - nim | zaranj | 149000 | 41005 | balochi , dari persian and balochi | 5 districts | south west afghanistan |\n| nurestan | 31 | af - nur | parun | 112000 | 9225 | nuristani , pashto , dari persian | 7 districts | east afghanistan |\n| orūzgān | 11 | af - oru | tarin kowt | 627000 | 22696 | pashto | 6 districts | south west afghanistan |\n| paktia | 24 | af - pia | gardez | 415000 | 6432 | pashto , dari persian | 11 districts | south afghanistan |\n| paktika | 25 | af - pka | sharan | 352000 | 19482 | pashto | 15 districts | south afghanistan |\n| panjshir | 28 | af - pan | bazarak | 128620 | 3610 | dari persian | 5 districts created in 2004 from parwan province | central afghanistan |\n| parwan | 20 | af - par | charikar | 726000 | 5974 | dari persian | composed of 9 districts | central afghanistan |\n| samangan | 14 | af - sam | aybak | 378000 | 11262 | dari persian , uzbek | 5 districts | north afghanistan |\n| sar - e pol | 9 | af - sar | sar - e pol | 468000 | 15999 | dari persian and uzbek | 6 districts | north afghanistan |\n| takhar | 27 | af - tak | taloqan | 810800 | 12333 | dari persian , and uzbek | 12 districts | north east afghanistan |\n| wardak | 21 | af - war | meydan shahr | 413000 | 8938 | pashto , dari persian | 9 districts | central afghanistan |\n| zabul | 17 | af - zab | qalat | 365920 | 17343 | pashto | 9 districts | south west afghanistan |" + } + ] + }, + { + "id": "table_recognition_train_item_69758", + "image": "table_instructV/images/TabFact_1-11230937-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| no in series | no in season | title | directed by | written by | original air date | us viewers (millions) |\n| --- | --- | --- | --- | --- | --- | --- |\n| 98 | 1 | rio (part 4) | joe chappelle | sunil nayar | september 18 , 2006 | 17.62 |\n| 99 | 2 | going under | matt earl beesley | marc dube & john haynes | september 25 , 2006 | 17.79 |\n| 100 | 3 | death pool 100 | sam hill | ann donahue & elizabeth devine | october 2 , 2006 | 17.90 |\n| 101 | 4 | if looks could kill | scott lautanen | ildy modrovich & barry o'brien | october 9 , 2006 | 17.60 |\n| 102 | 5 | death eminent | eagle egilsson | corey miller & brian davidson | october 16 , 2006 | 18.12 |\n| 103 | 6 | curse of the coffin | joe chappelle | sunil nayar & krystal houghton | october 23 , 2006 | 17.83 |\n| 104 | 7 | high octane | sam hill | marc dube | november 6 , 2006 | 16.80 |\n| 105 | 8 | darkroom | karen gaviola | john haynes | november 13 , 2006 | 18.77 |\n| 106 | 9 | going going gone | matt earl beesley | elizabeth devine | november 20 , 2006 | 18.54 |\n| 107 | 10 | come as you are | joe chappelle | brian davidson | november 27 , 2006 | 17.13 |\n| 108 | 11 | backstabbers | gina lamar | barry o'brien | december 11 , 2006 | 16.00 |\n| 109 | 12 | internal affairs | scott lautanen | corey miller | january 8 , 2007 | 16.01 |\n| 110 | 13 | throwing heat | joe chappelle | krystal houghton | january 22 , 2007 | 18.85 |\n| 111 | 14 | no man 's land (part 1) | scott lautanen | dominic abeyta | february 5 , 2007 | 18.43 |\n| 112 | 15 | man down (part 2) | karen gaviola | ildy modrovich | february 12 , 2007 | 19.90 |\n| 113 | 16 | broken home | sam hill | barry o'brien & krystal houghton | february 19 , 2007 | 19.23 |\n| 114 | 17 | a grizzly murder | eagle egilsson | elizabeth devine & brian davidson | february 26 , 2007 | 17.42 |\n| 115 | 18 | triple threat | scott lautanen | corey miller & sunil nayar | march 19 , 2007 | 17.66 |\n| 116 | 19 | bloodline | carey meyer | john haynes & marc dube | april 9 , 2007 | 16.11 |\n| 117 | 20 | rush | sam hill | ildy modrovich & krystal houghton | april 16 , 2007 | 15.36 |\n| 118 | 21 | just murdered | eagle egilsson | ty scott | april 23 , 2007 | 17.03 |\n| 119 | 22 | burned | anthony hemingway | corey evett & matt partney | april 30 , 2007 | 17.24 |\n| 120 | 23 | kill switch | scott lautanen | corey miller & marc dube | may 7 , 2007 | 17.18 |" + } + ] + }, + { + "id": "table_recognition_train_item_59774", + "image": "table_instructV/images/TabFact_2-13153336-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| margin | score | opponent | venue | date |\n| --- | --- | --- | --- | --- |\n| 52 | 54 - 2 | canterbury bulldogs | telstra stadium | 19 august 2005 |\n| 52 | 56 - 4 | canterbury bulldogs | anz stadium | 3 august 2008 |\n| 50 | 56 - 6 | south sydney rabbitohs | leichhardt oval | 8 august 2004 |\n| 46 | 50 - 4 | south sydney rabbitohs | aussie stadium | 4 august 2002 |\n| 46 | 50 - 4 | new zealand warriors | jade stadium | 13 june 2004 |\n| 46 | 56 - 10 | cronulla sharks | toyota stadium | 16 august 2009 |" + } + ] + }, + { + "id": "table_recognition_train_item_52952", + "image": "table_instructV/images/TabFact_1-24781886-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| | title | director | writer (s) | viewers | air date | production code |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | pilot | james burrows | ed yeager | 6.84 | september 24 , 2008 | 101 |\n| 2 | gary gets boundaries | james burrows | ed yeager | 6.97 | october 1 , 2008 | 102 |\n| 3 | gary marries off his ex | james burrows | janae bakken | 7.43 | october 8 , 2008 | 103 |\n| 4 | gary gets his stuff back | james burrows | matt goldman | 7.71 | october 15 , 2008 | 104 |\n| 5 | gary breaks up his ex - wife and girlfriend | james burrows | ira ungerleider | 7.85 | october 22 , 2008 | 105 |\n| 6 | gary meets the gang | james burrows | susan mcmartin | 6.44 | november 5 , 2008 | 106 |\n| 7 | gary and allison 's restaurant | james burrows | bill daly | 6.71 | november 12 , 2008 | 107 |\n| 8 | gary and allison brooks | james burrows | ed brown and scott parkin | 8.14 | december 19 , 2008 | 108 |\n| 9 | gary gives thanks | james burrows | mark gross | 7.72 | december 26 , 2008 | 109 |\n| 10 | gary goes first | james burrows | julie bean | 8.03 | december 10 , 2008 | 110 |\n| 11 | gary toughens up tom | james burrows | ric swartzlander | 7.55 | december 17 , 2008 | 111 |\n| 12 | gary dates louise 's teacher | james burrows | barry langer | 7.07 | january 14 , 2009 | 112 |\n| 13 | gary moves back in | james burrows | bill daly and mark gross | 7.07 | january 21 , 2009 | 113 |\n| 14 | gary and dennis' sister | james burrows | julie bean and susan mcmartin | 6.86 | february 11 , 2009 | 114 |\n| 15 | gary 's ex - brother - in - law | james burrows | mark jordan legan and terry mulroy | 8.15 | february 18 , 2009 | 115 |\n| 16 | gary uses his veto | james burrows | jana hunter and mitch hunter | 8.82 | march 11 , 2009 | 116 |\n| 17 | gary hooks up allison | james burrows | ira ungerleider | 7.57 | march 18 , 2009 | 117 |\n| 18 | gary and the trophy | james burrows | rob deshotel | 7.30 | april 8 , 2009 | 118 |\n| 19 | gary and his half brother | james burrows | scott parkin and ed brown | 6.66 | may 6 , 2009 | 119 |" + } + ] + }, + { + "id": "table_recognition_train_item_34724", + "image": "table_instructV/images/TABMWP_11495.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 3 | 13 |\n| 4 | 10 |\n| 5 | 7 |" + } + ] + }, + { + "id": "table_recognition_train_item_32016", + "image": "table_instructV/images/TABMWP_13432.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Number of dishes | Number of peppermint candies |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_34719", + "image": "table_instructV/images/TABMWP_11416.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Number of trucks | Number of flashlights |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_115567", + "image": "table_instructV/images/Rotowire_train_table_2126.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hawks | Atlanta | 98 | 24 | 27 | 21 | 26 | 31 | 47 | 17 | 51 | 70 | 47 | 25 | 17 | | | | |\n| Magic | Orlando | 81 | 17 | 21 | 21 | 22 | 21 | 42 | 13 | 35 | 75 | 27 | 20 | 20 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hawks | | | | | | | | | | | | | | | | | | |\n| Al Horford | 27 | 15 | 7 | 2 | 7-10 | 70% | 1-2 | 50% | 0-0 | 0% | 1 | 0 | 2 | 1 | 6 | 2 | C | Atlanta |\n| Jeff Teague | 24 | 14 | 4 | 2 | 5-10 | 50% | 3-3 | 100% | 1-1 | 100% | 1 | 3 | 0 | 0 | 4 | 3 | G | Atlanta |\n| Paul Millsap | 27 | 13 | 12 | 6 | 6-9 | 67% | 0-0 | 0% | 1-3 | 33% | 1 | 1 | 2 | 2 | 10 | 1 | F | Atlanta |\n| Mike Scott | 18 | 12 | 1 | 2 | 5-6 | 83% | 2-2 | 100% | 0-0 | 0% | 1 | 2 | 0 | 0 | 1 | 3 | N/A | Atlanta |\n| Tiago Splitter | 17 | 10 | 4 | 1 | 5-7 | 71% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 1 | 3 | 2 | N/A | Atlanta |\n| Thabo Sefolosha | 27 | 10 | 4 | 3 | 4-8 | 50% | 0-2 | 0% | 2-2 | 100% | 3 | 1 | 0 | 0 | 4 | 3 | N/A | Atlanta |\n| Tim Hardaway Jr. | 19 | 8 | 1 | 3 | 2-5 | 40% | 2-3 | 67% | 2-2 | 100% | 1 | 0 | 0 | 0 | 1 | 0 | N/A | Atlanta |\n| Dennis Schroder | 18 | 6 | 2 | 8 | 3-8 | 38% | 0-2 | 0% | 0-0 | 0% | 0 | 3 | 0 | 0 | 2 | 1 | N/A | Atlanta |\n| Kyle Korver | 21 | 5 | 4 | 2 | 2-5 | 40% | 1-3 | 33% | 0-0 | 0% | 1 | 2 | 0 | 0 | 4 | 2 | G | Atlanta |\n| Mike Muscala | 6 | 2 | 2 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Atlanta |\n| Kent Bazemore | 23 | 2 | 3 | 0 | 1-5 | 20% | 0-0 | 0% | 0-0 | 0% | 0 | 4 | 1 | 0 | 3 | 1 | F | Atlanta |\n| Justin Holiday | 6 | 1 | 1 | 0 | 0-3 | 0% | 0-2 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Atlanta |\n| Shelvin Mack | 6 | 0 | 2 | 1 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Atlanta |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Aaron Gordon | 27 | 18 | 7 | 3 | 5-9 | 56% | 1-2 | 50% | 7-8 | 88% | 0 | 0 | 1 | 1 | 6 | 0 | N/A | Orlando |\n| Elfrid Payton | 27 | 16 | 2 | 5 | 7-14 | 50% | 2-2 | 100% | 0-3 | 0% | 1 | 5 | 0 | 0 | 2 | 0 | G | Orlando |\n| Nikola Vucevic | 27 | 10 | 11 | 1 | 4-10 | 40% | 0-0 | 0% | 2-3 | 67% | 1 | 2 | 1 | 4 | 7 | 1 | C | Orlando |\n| Mario Hezonja | 24 | 10 | 0 | 2 | 3-14 | 21% | 0-5 | 0% | 4-4 | 100% | 0 | 1 | 0 | 0 | 0 | 2 | N/A | Orlando |\n| Tobias Harris | 32 | 6 | 4 | 4 | 2-7 | 29% | 0-2 | 0% | 2-2 | 100% | 4 | 2 | 1 | 1 | 3 | 1 | F | Orlando |\n| Evan Fournier | 24 | 6 | 1 | 2 | 2-11 | 18% | 2-4 | 50% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 3 | G | Orlando |\n| Shabazz Napier | 12 | 5 | 0 | 2 | 2-4 | 50% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Orlando |\n| Dewayne Dedmon | 11 | 4 | 7 | 0 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 2 | 5 | 1 | N/A | Orlando |\n| Channing Frye | 18 | 2 | 4 | 1 | 1-4 | 25% | 0-2 | 0% | 0-0 | 0% | 1 | 0 | 2 | 1 | 3 | 2 | F | Orlando |\n| Jason Smith | 18 | 2 | 3 | 0 | 1-5 | 20% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 1 | N/A | Orlando |\n| Keith Appling | 9 | 2 | 0 | 0 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 0 | 0 | N/A | Orlando |\n| Andrew Nicholson | 9 | 0 | 2 | 1 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 2 | N/A | Orlando |\n| Devyn Marble | 4 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | Orlando |" + } + ] + }, + { + "id": "table_recognition_train_item_111717", + "image": "table_instructV/images/Rotowire_train_table_201.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Rockets | Houston | 115 | 35 | 23 | 39 | 18 | 24 | 42 | 17 | 46 | 60 | 45 | 51 | 24 | | | | |\n| Kings | Sacramento | 111 | 25 | 30 | 31 | 25 | 30 | 57 | 21 | 50 | 50 | 50 | 26 | 48 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Rockets | | | | | | | | | | | | | | | | | | |\n| James Harden | 38 | 51 | 8 | 6 | 16-25 | 64% | 8-9 | 89% | 11-13 | 85% | 3 | 7 | 0 | 2 | 6 | 1 | G | Houston |\n| Trevor Ariza | 38 | 22 | 3 | 2 | 8-16 | 50% | 6-14 | 43% | 0-0 | 0% | 3 | 3 | 0 | 0 | 3 | 2 | F | Houston |\n| Terrence Jones | 32 | 16 | 7 | 3 | 6-10 | 60% | 2-3 | 67% | 2-6 | 33% | 1 | 2 | 7 | 3 | 4 | 2 | F | Houston |\n| Joey Dorsey | 32 | 7 | 11 | 2 | 3-8 | 38% | 0-1 | 0% | 1-2 | 50% | 1 | 1 | 0 | 7 | 4 | 4 | C | Houston |\n| Jason Terry | 21 | 7 | 2 | 2 | 3-10 | 30% | 1-7 | 14% | 0-0 | 0% | 1 | 2 | 0 | 0 | 2 | 1 | G | Houston |\n| Clint Capela | 10 | 4 | 3 | 0 | 2-3 | 67% | 0-0 | 0% | 0-2 | 0% | 0 | 0 | 3 | 2 | 1 | 2 | N/A | Houston |\n| Pablo Prigioni | 27 | 4 | 2 | 7 | 1-4 | 25% | 1-3 | 33% | 1-2 | 50% | 4 | 0 | 0 | 0 | 2 | 2 | N/A | Houston |\n| Corey Brewer | 21 | 2 | 2 | 1 | 1-10 | 10% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 1 | N/A | Houston |\n| Josh Smith | 21 | 2 | 4 | 1 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 3 | 0 | 4 | 2 | N/A | Houston |\n| KJ McDaniels | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Dwight Howard | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Nick Johnson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Kings | | | | | | | | | | | | | | | | | | |\n| DeMarcus Cousins | 39 | 24 | 21 | 10 | 11-25 | 44% | 0-0 | 0% | 2-6 | 33% | 3 | 5 | 6 | 6 | 15 | 4 | C | Sacramento |\n| Omri Casspi | 38 | 18 | 7 | 4 | 8-17 | 47% | 0-2 | 0% | 2-2 | 100% | 3 | 5 | 0 | 2 | 5 | 4 | F | Sacramento |\n| Jason Thompson | 21 | 16 | 10 | 2 | 7-9 | 78% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 0 | 7 | 3 | 4 | N/A | Sacramento |\n| Ben McLemore | 31 | 14 | 4 | 2 | 6-10 | 60% | 2-3 | 67% | 0-0 | 0% | 1 | 2 | 1 | 0 | 4 | 2 | G | Sacramento |\n| Ray McCallum | 35 | 14 | 3 | 6 | 5-6 | 83% | 2-3 | 67% | 2-4 | 50% | 1 | 4 | 0 | 0 | 3 | 2 | G | Sacramento |\n| Carl Landry | 21 | 10 | 4 | 0 | 5-10 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 2 | 2 | 2 | 1 | F | Sacramento |\n| Derrick Williams | 21 | 10 | 5 | 2 | 4-11 | 36% | 2-2 | 100% | 0-2 | 0% | 0 | 1 | 0 | 2 | 3 | 0 | N/A | Sacramento |\n| Nik Stauskas | 17 | 5 | 2 | 1 | 2-6 | 33% | 1-3 | 33% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 3 | N/A | Sacramento |\n| Andre Miller | 13 | 0 | 0 | 3 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Sacramento |\n| David Wear | 5 | 0 | 1 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 1 | N/A | Sacramento |\n| Rudy Gay | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Reggie Evans | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Ryan Hollins | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |" + } + ] + }, + { + "id": "table_recognition_train_item_59072", + "image": "table_instructV/images/TabFact_1-2668367-13.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| district | incumbent | party | first elected | result | candidates |\n| --- | --- | --- | --- | --- | --- |\n| new york 5 | thomas b cooke | democratic - republican | 1810 | retired federalist gain | thomas p grosvenor (f) |\n| new york 8 | benjamin pond | democratic - republican | 1810 | retired federalist gain | samuel sherwood (f) 53.6% john ely (dr) 46.4% |\n| new york 9 | thomas sammons | democratic - republican | 1808 | retired federalist gain | john lovett (f) |\n| new york 10 | silas stow | democratic - republican | 1810 | retired federalist gain | hosea moffitt (f) |\n| new york 11 | thomas r gold | federalist | 1808 | retired democratic - republican gain | john w taylor (dr) 52.8% samuel stewart (f) 47.2% |\n| new york 14 | none (district created) | none (district created) | none (district created) | new seat federalist gain | jacob markell (f) 55.6% james mcintyre (dr) 44.4% |\n| new york 18 | none (district created) | none (district created) | none (district created) | new seat federalist gain | moss kent (f) 61.2% jacob brown (dr) 38.8% |" + } + ] + }, + { + "id": "table_recognition_train_item_32440", + "image": "table_instructV/images/TABMWP_18011.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Number of train cars | Number of passengers |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_49886", + "image": "table_instructV/images/TAT-QA_7e12c96e-40e3-45a0-b268-e2863222a289.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| | Financial Year ended 31 March | | | |\n| --- | --- | --- | --- | --- |\n| | 2019 | 2018 | Change | Change in constant currency (1) |\n| | (S$ million) | (S$ million) | (%) | (%) |\n| Operating revenue | 17,372 | 17,268 | 0.6 | 3.7 |\n| EBITDA | 4,692 | 5,051 | -7.1 | -3.9 |\n| EBITDA margin | 27.0% | 29.2% | | |\n| Share of associates’ pre-tax profits | 1,536 | 2,461 | -37.6 | -36.2 |\n| EBIT | 4,006 | 5,261 | -23.9 | -21.8 |\n| (exclude share of associates’ pre-tax profits) | 2,470 | 2,801 | -11.8 | -9.2 |\n| Net finance expense | (355) | (345) | 2.9 | 6.2 |\n| Taxation | (850) | (1,344) | -36.8 | -35.8 |\n| Underlying net profit (2) | 2,825 | 3,593 | -21.4 | -19.1 |\n| Underlying earnings per share (S cents) (2) | 17.3 | 22.0 | -21.4 | -19.1 |\n| Exceptional items (post-tax) | 270 | 1,880 | -85.7 | -85.2 |\n| Net profit | 3,095 | 5,473 | -43.5 | -41.8 |\n| Basic earnings per share (S cents) | 19.0 | 33.5 | -43.5 | -41.8 |\n| Share of associates’ post-tax profits | 1,383 | 1,823 | -24.1 | -21.8 |" + } + ] + }, + { + "id": "table_recognition_train_item_51638", + "image": "table_instructV/images/TAT-QA_96d110f8-5482-4603-bf31-f39867590b6d.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| | Number of shares purchased | Average price paid per share inclusive of transaction costs | Total number of shares purchased under publicly announced share buyback programme | Maximum number of shares that may yet be purchased under the programme |\n| --- | --- | --- | --- | --- |\n| Date of share purchase | 000s | Pence | 000s | 000s |\n| February 2019 | 14,529 | 135.17 | 14,529 | 784,539 |\n| March 2019 | 305,099 | 140.56 | 319,628 | 479,440 |\n| April 2019 | 290,570 | 142.20 | 610,198 | 188,870 |\n| May 2019 (to date) | 116,228 | 140.11 | 726,426 | 72,642 |\n| Total | 726,426 | 141.04 | 726,426 | 72,642 |" + } + ] + }, + { + "id": "table_recognition_train_item_100243", + "image": "table_instructV/images/ToTTo_train_table_997.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Year | Title | Record label |\n| --- | --- | --- |\n| 1995 | Superstitious | Dogonke |\n| 1996 | Honey Pot | Viceroy Records |\n| 1997 | Stardust | Provogue Records |\n| 1998 | After Dark Live | Provogue Records |\n| 2002 | East Monroe | Ulftone Music |\n| 2005 | Farmhouse Blues | Pepper Cake/ ZYX Music |\n| 2007 | Tail Dragger | ZYX Music |\n| 2010 | Snake Wine | Self release |\n| 2012 | Can't Slow Down : Live at the Estrado | ZYX Music |\n| 2013 | Lost in the Wilderness | Music Avenue |\n| 2015 | Blues Transfusion | Music Avenue |" + } + ] + }, + { + "id": "table_recognition_train_item_113819", + "image": "table_instructV/images/Rotowire_train_table_1252.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nets | Brooklyn | 86 | 26 | 16 | 27 | 17 | 14 | 38 | 16 | 40 | 94 | 20 | 9 | 35 | | | | |\n| Spurs | San Antonio | 112 | 27 | 25 | 39 | 21 | 22 | 50 | 8 | 47 | 81 | 41 | 35 | 9 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Nets | | | | | | | | | | | | | | | | | | |\n| Isaiah Whitehead | 29 | 19 | 1 | 3 | 6-15 | 40% | 2-4 | 50% | 5-5 | 100% | 0 | 1 | 0 | 0 | 1 | 4 | N/A | Brooklyn |\n| Sean Kilpatrick | 31 | 17 | 10 | 1 | 7-16 | 44% | 1-6 | 17% | 2-2 | 100% | 0 | 3 | 0 | 0 | 10 | 2 | N/A | Brooklyn |\n| Spencer Dinwiddie | 32 | 13 | 2 | 2 | 6-9 | 67% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 2 | 0 | 2 | 0 | G | Brooklyn |\n| Brook Lopez | 21 | 12 | 4 | 1 | 4-10 | 40% | 0-1 | 0% | 4-4 | 100% | 1 | 4 | 1 | 3 | 1 | 3 | C | Brooklyn |\n| Trevor Booker | 19 | 9 | 4 | 0 | 4-7 | 57% | 0-2 | 0% | 1-1 | 100% | 0 | 1 | 0 | 0 | 4 | 0 | F | Brooklyn |\n| Rondae Hollis-Jefferson | 17 | 6 | 5 | 0 | 1-4 | 25% | 0-0 | 0% | 4-4 | 100% | 0 | 0 | 0 | 1 | 4 | 1 | N/A | Brooklyn |\n| Bojan Bogdanovic | 23 | 5 | 3 | 2 | 2-8 | 25% | 1-3 | 33% | 0-0 | 0% | 0 | 2 | 0 | 0 | 3 | 2 | F | Brooklyn |\n| Chris McCullough | 5 | 2 | 0 | 0 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Brooklyn |\n| Justin Hamilton | 16 | 2 | 4 | 0 | 1-3 | 33% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 2 | 1 | 3 | 1 | N/A | Brooklyn |\n| Randy Foye | 30 | 1 | 3 | 4 | 0-4 | 0% | 0-2 | 0% | 1-2 | 50% | 0 | 3 | 0 | 0 | 3 | 2 | G | Brooklyn |\n| Quincy Acy | 11 | 0 | 0 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 0 | 2 | N/A | Brooklyn |\n| Luis Scola | 8 | 0 | 2 | 1 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Brooklyn |\n| Caris LeVert | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Patty Mills | 20 | 20 | 3 | 2 | 7-13 | 54% | 4-6 | 67% | 2-3 | 67% | 0 | 1 | 0 | 1 | 2 | 0 | N/A | San Antonio |\n| LaMarcus Aldridge | 27 | 16 | 9 | 5 | 8-19 | 42% | 0-1 | 0% | 0-0 | 0% | 2 | 1 | 2 | 4 | 5 | 2 | F | San Antonio |\n| David Lee | 25 | 15 | 7 | 2 | 7-13 | 54% | 0-0 | 0% | 1-2 | 50% | 1 | 1 | 0 | 4 | 3 | 2 | N/A | San Antonio |\n| Kyle Anderson | 35 | 14 | 3 | 3 | 6-10 | 60% | 1-1 | 100% | 1-2 | 50% | 1 | 0 | 2 | 0 | 3 | 0 | F | San Antonio |\n| Jonathon Simmons | 19 | 11 | 4 | 2 | 3-7 | 43% | 1-2 | 50% | 4-4 | 100% | 0 | 0 | 0 | 0 | 4 | 2 | N/A | San Antonio |\n| Davis Bertans | 12 | 11 | 2 | 2 | 3-5 | 60% | 2-4 | 50% | 3-3 | 100% | 0 | 0 | 0 | 0 | 2 | 5 | N/A | San Antonio |\n| Dewayne Dedmon | 29 | 10 | 8 | 1 | 4-5 | 80% | 0-0 | 0% | 2-2 | 100% | 1 | 2 | 1 | 1 | 7 | 4 | C | San Antonio |\n| Danny Green | 33 | 9 | 2 | 1 | 4-8 | 50% | 1-3 | 33% | 0-0 | 0% | 2 | 1 | 0 | 0 | 2 | 1 | G | San Antonio |\n| Dejounte Murray | 22 | 4 | 6 | 3 | 2-8 | 25% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 5 | 1 | G | San Antonio |\n| Bryn Forbes | 13 | 2 | 2 | 1 | 1-6 | 17% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | San Antonio |\n| Joel Anthony | 5 | 0 | 4 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 3 | 0 | N/A | San Antonio |\n| Manu Ginobili | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Kawhi Leonard | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |" + } + ] + }, + { + "id": "table_recognition_train_item_31575", + "image": "table_instructV/images/TABMWP_8914.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 10 | 7 |\n| 11 | 11 |\n| 12 | 19 |" + } + ] + }, + { + "id": "table_recognition_train_item_100058", + "image": "table_instructV/images/ToTTo_train_table_207.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Club | League | Sport | Venue | Established | Championships |\n| --- | --- | --- | --- | --- | --- |\n| Kimberley Dynamiters | KIJHL | Ice Hockey | Kimberley Civic Centre | 1972 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_33939", + "image": "table_instructV/images/TABMWP_34233.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $550 | 8,800 | 1,300 |\n| $710 | 8,200 | 4,500 |\n| $870 | 7,600 | 7,700 |\n| $1,030 | 7,000 | 10,900 |\n| $1,190 | 6,400 | 14,100 |" + } + ] + }, + { + "id": "table_recognition_train_item_55064", + "image": "table_instructV/images/TabFact_2-10774891-10.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| home team | home team score | away team | away team score | venue | crowd | date |\n| --- | --- | --- | --- | --- | --- | --- |\n| geelong | 10.8 (68) | south melbourne | 10.10 (70) | kardinia park | 12456 | 22 june 1957 |\n| fitzroy | 9.14 (68) | footscray | 14.14 (98) | brunswick street oval | 17500 | 22 june 1957 |\n| north melbourne | 11.12 (78) | melbourne | 16.13 (109) | arden street oval | 14000 | 22 june 1957 |\n| st kilda | 10.15 (75) | hawthorn | 8.11 (59) | junction oval | 21000 | 22 june 1957 |\n| richmond | 13.10 (88) | essendon | 7.19 (61) | punt road oval | 25000 | 22 june 1957 |\n| collingwood | 14.16 (100) | carlton | 9.9 (63) | victoria park | 33345 | 22 june 1957 |" + } + ] + }, + { + "id": "table_recognition_train_item_54700", + "image": "table_instructV/images/TabFact_2-1547798-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| date | tournament | surface | opponent in the final | score |\n| --- | --- | --- | --- | --- |\n| 15 september 1996 | karlovy vary , czech republic | clay | ruxandra dragomir | 6 - 2 , 3 - 6 , 6 - 4 |\n| 28 september 1998 | munich , germany | hard (i) | venus williams | 6 - 2 , 3 - 6 , 6 - 2 |\n| 16 july 2000 | klagenfurt , austria | clay | barbara schett | 5 - 7 , 6 - 4 , 6 - 4 |\n| 12 july 2001 | vienna , austria | clay | iroda tulyaganova | 6 - 3 , 6 - 2 |\n| 21 april 2002 | hilton head , south carolina , usa | clay | iva majoli | 7 - 6 (5) , 6 - 4 |\n| 15 may 2005 | rome , italy | clay | amélie mauresmo | 2 - 6 , 6 - 3 , 6 - 4 |\n| 23 october 2005 | zürich , switzerland | carpet (i) | lindsay davenport | 7 - 6 (5) , 6 - 3 |\n| 30 october 2005 | linz , austria | hard (i) | nadia petrova | 4 - 6 , 6 - 3 , 6 - 1 |\n| 16 april 2006 | charleston , south carolina , usa | clay | nadia petrova | 6 - 3 , 4 - 6 , 6 - 1 |\n| 30 july 2006 | stanford , california , usa | hard | kim clijsters | 6 - 4 , 6 - 2 |\n| 16 april 2007 | san diego , california , usa | hard | maria sharapova | 6 - 2 , 3 - 6 , 6 - 0 |\n| 28 october 2007 | linz , austria | hard (i) | daniela hantuchová | 6 - 4 , 6 - 2 |\n| 9 march 2008 | bangalore , india | hard | serena williams | 7 - 5 , 6 - 3 |\n| 12 july 2009 | budapest , hungary | clay | ágnes szávay | 2 - 6 , 6 - 4 , 6 - 2 |\n| 11 july 2010 | budapest , hungary | clay | ágnes szávay | 6 - 2 , 6 - 4 |\n| 17 october 2010 | linz , austria | hard (i) | ana ivanovic | 6 - 1 , 6 - 2 |" + } + ] + }, + { + "id": "table_recognition_train_item_102047", + "image": "table_instructV/images/ToTTo_train_table_8697.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Judge | Category | Location | Assistant | Contestants eliminated |\n| --- | --- | --- | --- | --- |\n| Cowell | Overs | Loire Valley, France | Louis Tomlinson | Ebru Ellis, Jennifer Phillips, Kerrie-Anne Phillips |\n| Fernandez-Versini | Groups | Rome | Jess Glynne | BEKLN Mile, Melody Stone, New Kings Order |\n| Grimshaw | Boys | Cotswolds | Mark Ronson | Ben Clark, Josh Daniel, Simon Lynch |\n| Ora | Girls | Los Angeles | Meghan Trainor | Monica Michael, Chloe Paige, Havva Rebke |" + } + ] + }, + { + "id": "table_recognition_train_item_65124", + "image": "table_instructV/images/TabFact_2-11070660-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| event | data | athlete | date | place |\n| --- | --- | --- | --- | --- |\n| 1500 m | 5:46.24 | roger mills | 29 august 1975 | london , united kingdom |\n| mile | 5:58.4 | alex wright | 5 october 2011 | leeds , united kingdom |\n| 3000 m | 11:24.4 | mark easton | 10 may 1989 | tonbridge , united kingdom |\n| 5000 m | 19:27.39 | alex wright | 15 july 2013 | birmingham , united kingdom |\n| 10000 m | 40:06.65 | ian mccombie | 4 june 1989 | jarrow , united kingdom |\n| 15000 m | 1:02:40.0 + | ian mccombie | 15 may 1992 | fana , norway |\n| 20000 m | 1:23:26.5 | ian mccombie | 26 may 1990 | fana , norway |\n| 25000 m | 1:55:00.8 + | ron wallwork | 31 july 1971 | blackburn , united kingdom |\n| 30000 m | 2:11:54 | chris maddocks | 31 december 1989 | plymouth , united kingdom |\n| 35000 m | 2:43:12 + | chris maddocks | 22 september 1984 | birmingham , united kingdom |\n| 40000 m | 3:10:48 + | chris maddocks | 22 september 1984 | birmingham , united kingdom |\n| 50000 m | 4:05:44.6 | paul blagg | 26 may 1990 | fana , norway |\n| 100000 m | 9:41:54 + | ed shillabeer | 15 september 1985 | colchester , united kingdom |\n| hour walk | 14324 m + | ian mccombie | 7 july 1985 | london , united kingdom |\n| 2 hours walk | 27262 m + | chris maddocks | 31 december 1989 | plymouth , united kingdom |\n| 24 hours walk | 214.061 km | hew neilson | 15 october 1960 | walton - on - thames , united kingdom |" + } + ] + }, + { + "id": "table_recognition_train_item_100458", + "image": "table_instructV/images/ToTTo_train_table_1915.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| 23 August 1952 1 | Colchester United | 0–0 | Ipswich Town | Colchester | |\n| --- | --- | --- | --- | --- | --- |\n| | | Report Report | | Stadium: Layer Road Attendance: 14,674 Referee: W. Clapton | |" + } + ] + }, + { + "id": "table_recognition_train_item_54768", + "image": "table_instructV/images/TabFact_2-18179114-10.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| opposing teams | against | date | venue | status |\n| --- | --- | --- | --- | --- |\n| ireland | 17 | 08 / 02 / 1969 | lansdowne road , dublin | five nations |\n| france | 8 | 22 / 02 / 1969 | twickenham , london | five nations |\n| scotland | 3 | 15 / 03 / 1969 | twickenham , london | five nations |\n| wales | 30 | 12 / 04 / 1969 | cardiff arms park , cardiff | five nations |\n| south africa | 8 | 20 / 12 / 1969 | twickenham , london | test match |" + } + ] + }, + { + "id": "table_recognition_train_item_32719", + "image": "table_instructV/images/TABMWP_21342.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | Country | Rock |\n| --- | --- | --- |\n| 0 times a week | 4 | 4 |\n| 1-2 times a week | 3 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_52922", + "image": "table_instructV/images/TabFact_2-17371890-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| date | distance | handler | event | location |\n| --- | --- | --- | --- | --- |\n| 7 july 2000 | ft4in (m) | beth gutteridge | espn great outdoor games | lake placid , ny |\n| 8 july 2001 | ft1in (m) | mike wallace | espn great outdoor games | lake placid , ny |\n| 20 february 2002 | ft3in (m) | mike jackson | indianapolis boat , sport & travel show | indianapolis , in |\n| 1 may 2002 | ft4in (m) | john kline | espn2 super retriever series | northfield , mn |\n| 6 july 2002 | ft6in (m) | mike jackson | espn great outdoor games | lake placid , ny |\n| 7 august 2005 | ft5in (m) | kevin meese | bass pro shops | baltimore , md |\n| 21 august 2005 | ft7in (m) | kevin meese | big nickle time cabela 's | hamburg , pa |\n| 9 october 2005 | ft10in (m) | kevin meese | bass pro shops | baltimore , md |\n| 30 may 2010 | ft11.59in (m) | rande murphy | super retriever series crown championship | little rock , ar |\n| 11 july 2010 | ft1in (m) | melissa ness | 2010 ukc premier | richmond , in |\n| 29 may 2011 | ft7in (m) | tony lampert | super retriever series crown championship | little rock , ar |\n| 07 oct 2011 | ft11in (m) | tony lampert | david letterman show , october 7 2011 | new york , ny |" + } + ] + }, + { + "id": "table_recognition_train_item_113421", + "image": "table_instructV/images/Rotowire_train_table_1053.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Mavericks | Dallas | 104 | 28 | 32 | 28 | 16 | 24 | 37 | 8 | 49 | 81 | 28 | 26 | 36 | | | | |\n| Thunder | Oklahoma City | 89 | 27 | 23 | 21 | 18 | 19 | 49 | 15 | 40 | 70 | 9 | 35 | 28 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Mavericks | | | | | | | | | | | | | | | | | | |\n| Seth Curry | 30 | 22 | 1 | 1 | 10-16 | 63% | 2-5 | 40% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 1 | G | Dallas |\n| Dirk Nowitzki | 30 | 18 | 13 | 3 | 8-17 | 47% | 1-4 | 25% | 1-1 | 100% | 0 | 1 | 0 | 0 | 13 | 4 | C | Dallas |\n| Harrison Barnes | 34 | 17 | 5 | 3 | 5-14 | 36% | 0-3 | 0% | 7-8 | 88% | 0 | 0 | 0 | 3 | 2 | 1 | F | Dallas |\n| Nerlens Noel | 16 | 13 | 4 | 0 | 6-7 | 86% | 0-0 | 0% | 1-1 | 100% | 0 | 2 | 0 | 2 | 2 | 5 | N/A | Dallas |\n| Wesley Matthews | 32 | 9 | 0 | 4 | 3-8 | 38% | 1-4 | 25% | 2-2 | 100% | 3 | 0 | 0 | 0 | 0 | 2 | F | Dallas |\n| Devin Harris | 18 | 7 | 2 | 7 | 2-5 | 40% | 1-2 | 50% | 2-2 | 100% | 1 | 1 | 0 | 0 | 2 | 1 | N/A | Dallas |\n| Yogi Ferrell | 32 | 7 | 2 | 3 | 3-8 | 38% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | G | Dallas |\n| Dorian Finney-Smith | 16 | 5 | 4 | 2 | 2-3 | 67% | 1-2 | 50% | 0-0 | 0% | 1 | 0 | 0 | 0 | 4 | 2 | N/A | Dallas |\n| Quinn Cook | 14 | 4 | 1 | 1 | 2-4 | 50% | 0-0 | 0% | 0-2 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Dallas |\n| Salah Mejri | 10 | 2 | 2 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 2 | 0 | 2 | 1 | N/A | Dallas |\n| Dwight Powell | 3 | 0 | 1 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Dallas |\n| Ben Bentil | 3 | 0 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 0 | N/A | Dallas |\n| Nicolas Brussino | 3 | 0 | 0 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Dallas |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Russell Westbrook | 34 | 29 | 6 | 5 | 8-24 | 33% | 2-10 | 20% | 11-13 | 85% | 2 | 1 | 1 | 0 | 6 | 4 | G | Oklahoma City |\n| Steven Adams | 25 | 19 | 5 | 1 | 8-10 | 80% | 0-0 | 0% | 3-5 | 60% | 1 | 4 | 1 | 3 | 2 | 2 | C | Oklahoma City |\n| Enes Kanter | 19 | 16 | 10 | 2 | 7-14 | 50% | 0-1 | 0% | 2-5 | 40% | 1 | 3 | 0 | 6 | 4 | 2 | N/A | Oklahoma City |\n| Taj Gibson | 23 | 6 | 2 | 1 | 2-5 | 40% | 0-0 | 0% | 2-3 | 67% | 0 | 1 | 0 | 0 | 2 | 2 | N/A | Oklahoma City |\n| Doug McDermott | 35 | 6 | 4 | 2 | 3-9 | 33% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 4 | 1 | N/A | Oklahoma City |\n| Norris Cole | 24 | 4 | 3 | 2 | 2-7 | 29% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 2 | N/A | Oklahoma City |\n| Jerami Grant | 19 | 4 | 4 | 1 | 1-2 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 4 | 0 | N/A | Oklahoma City |\n| Domantas Sabonis | 20 | 3 | 7 | 1 | 1-5 | 20% | 0-2 | 0% | 1-2 | 50% | 0 | 1 | 0 | 0 | 7 | 3 | F | Oklahoma City |\n| Andre Roberson | 23 | 2 | 8 | 2 | 1-3 | 33% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 4 | 4 | 2 | F | Oklahoma City |\n| Alex Abrines | 10 | 0 | 0 | 2 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | G | Oklahoma City |\n| Semaj Christon | 5 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Oklahoma City |\n| Kyle Singler | 3 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Oklahoma City |\n| Nick Collison | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |" + } + ] + }, + { + "id": "table_recognition_train_item_53436", + "image": "table_instructV/images/TabFact_1-27932399-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| catalogue number | artist | release title | format | release date |\n| --- | --- | --- | --- | --- |\n| dw001 | the clear spots | mountain rock | cd | 2006 |\n| dw002 | the clear spots | mansion in the sky | cd | 2005 |\n| dw003 | adam bugaj | wave of tears | cd | 2005 |\n| dw004 | ajilvsga | blood nocturnes | cd | 2006 |\n| dw005 | the clear spots | electricity for all | cd | 2005 |\n| dw006 | heavy winged | echoes of silence | cd | 2006 |\n| dw007 | niagara falls / the clear spots | plays spiral isles / smokehouse debris | cd | 2006 |\n| dw008 | alligator crystal moth | bones of the great divide | cd | 2007 |\n| dw009 | evening fires | evening fires | cd | 2006 |\n| dw010 | flying sutra | levitate and dissolve | cd | 2007 |\n| dw011 | anvil salute | this is the voice of doom calling | cd | 2007 |\n| dw013 | indoorpark | the neutral mile | cd | 2008 |\n| dw014 | united bible studies | airs of sun and stone | cd | 2008 |\n| dw015 | agitated radio pilot | the rural arcane | cd | 2008 |\n| dw016 | the qoast / century plants | split | cd | 2008 |\n| dw017 | evening fires | blue mountain water | cd | 2008 |\n| dw018 | ashtray navigations | sugar head record | cd | 2009 |\n| dw019 | the goner | hh | cd | 2009 |\n| dw020 | evening fires | new worlds for old | cd | 2009 |\n| dw021 | flying sutra | glowering and glowing red | cd | 2009 |\n| dw022 | enfer borãal / thebricoleur / tuscarora borealis | spiritual machine | cd | 2009 |\n| dw023 | evening fires | waves in the air | cd | 2009 |\n| dw024 | the goner | behold a new traveler | cd | 2010 |" + } + ] + }, + { + "id": "table_recognition_train_item_106174", + "image": "table_instructV/images/ToTTo_train_table_25970.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | 21–10 | Handesson Ferreira | TKO (verbal submission) | PFL 10 | October 20, 2018 | 2 | 1:15 | Washington, D.C., United States | 2018 PFL Welterweight Quarterfinal bout. |\n| Win | 21–9 | Carlton Minus | Submission (rear-naked choke) | PFL 6 | August 16, 2018 | 2 | 2:55 | Atlantic City, New Jersey, United States | |\n| Win | 20–9 | Yuri Villefort | Decision (unanimous) | PFL 3 | July 5, 2018 | 3 | 5:00 | Washington, D.C., United States | |\n| Loss | 19–9 | Donald Cerrone | TKO (head kick and punches) | UFC 202 | August 20, 2016 | 2 | 2:02 | Las Vegas, Nevada, United States | |\n| Win | 19–8 | Tarec Saffiedine | Decision (unanimous) | UFC Fight Night: Almeida vs. Garbrandt | May 29, 2016 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 18–8 | Gunnar Nelson | Decision (split) | UFC Fight Night: Nelson vs. Story | October 4, 2014 | 5 | 5:00 | Stockholm, Sweden | |\n| Win | 17–8 | Leonardo Mafra | Submission (arm-triangle choke) | UFC Fight Night: Cerrone vs. Miller | July 16, 2014 | 2 | 2:12 | Atlantic City, New Jersey, United States | |\n| Loss | 16–8 | Kelvin Gastelum | Decision (split) | UFC 171 | March 15, 2014 | 3 | 5:00 | Dallas, Texas, United States | |\n| Win | 16–7 | Brian Ebersole | Decision (unanimous) | UFC 167 | November 16, 2013 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Loss | 15–7 | Mike Pyle | Decision (split) | UFC 160 | May 25, 2013 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 15–6 | Quinn Mulhern | TKO (punches) | UFC 158 | March 16, 2013 | 1 | 3:05 | Montreal, Quebec, Canada | |\n| Loss | 14–6 | Demian Maia | Submission (neck crank) | UFC 153 | October 13, 2012 | 1 | 2:30 | Rio de Janeiro, Brazil | |\n| Win | 14–5 | Brock Jardine | Decision (unanimous) | UFC on FX: Maynard vs. Guida | June 22, 2012 | 3 | 5:00 | Atlantic City, New Jersey, United States | |\n| Loss | 13–5 | Martin Kampmann | Decision (split) | UFC 139 | November 19, 2011 | 3 | 5:00 | San Jose, California, United States | |\n| Loss | 13–4 | Charlie Brenneman | Decision (unanimous) | UFC Live: Kongo vs. Barry | June 26, 2011 | 3 | 5:00 | Pittsburgh, Pennsylvania, United States | |\n| Win | 13–3 | Thiago Alves | Decision (unanimous) | UFC 130 | May 28, 2011 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 12–3 | Johny Hendricks | Decision (unanimous) | The Ultimate Fighter: Team GSP vs. Team Koscheck Finale | December 4, 2010 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 11–3 | Dustin Hazelett | TKO (punches) | UFC 117 | August 7, 2010 | 2 | 1:15 | Oakland, California, United States | |\n| Win | 10–3 | Nick Osipczak | Decision (split) | UFC 112 | April 10, 2010 | 3 | 5:00 | Abu Dhabi, United Arab Emirates | |\n| Win | 9–3 | Jesse Lennox | Decision (split) | UFC Fight Night: Maynard vs. Diaz | January 11, 2010 | 3 | 5:00 | Fairfax, Virginia, United States | |\n| Win | 8–3 | Brian Foster | Submission (arm-triangle choke) | UFC 103 | September 19, 2009 | 2 | 1:09 | Dallas, Texas, United States | Submission of the Night. Fight of the Night. |\n| Loss | 7–3 | John Hathaway | Decision (unanimous) | UFC 99 | June 13, 2009 | 3 | 5:00 | Cologne, Germany | |\n| Win | 7–2 | Brandon Melendez | Submission (rear-naked choke) | EWC: Vancouver | September 6, 2008 | 1 | 2:17 | Ridgefield, Washington, United States | Defended the Elite Warriors Welterweight Championship. |\n| Win | 6–2 | Wesley Welch | KO (punch) | Carnage at the Creek 3 | August 22, 2008 | 1 | N/A | Shelton, Washington, United States | |\n| Win | 5–2 | Jake Ellenberger | Decision (unanimous) | SportFight 23 | June 20, 2008 | 3 | 5:00 | Portland, Oregon, United States | |\n| Win | 4–2 | Ryan Healy | Decision (unanimous) | EWC: May Massacre | May 10, 2008 | 5 | 5:00 | Salem, Oregon, United States | Won the Elite Warriors Welterweight Championship. |\n| Win | 3–2 | James Dodge | Submission (rear-naked choke) | EWC: Welterweight War | February 23, 2008 | 1 | 3:37 | Salem, Oregon, United States | |\n| Win | 2–2 | Jake Paul | TKO (punches) | EWC: Capital Invasion | January 12, 2008 | 2 | 1:03 | Salem, Oregon, United States | |\n| Loss | 1–2 | Nathan Coy | Decision (unanimous) | SportFight 21: Seasons Beatings | December 22, 2007 | 3 | 5:00 | Portland, Oregon, United States | |\n| Win | 1–1 | Julio Paulino | Decision (unanimous) | AFC 41: Thankful Throwdowns | November 15, 2007 | 3 | 5:00 | Anchorage, Alaska, United States | |\n| Loss | 0–1 | Mario Miranda | Decision (unanimous) | Conquest of the Cage | November 6, 2007 | 3 | 5:00 | Airway Heights, Washington, United States | |" + } + ] + }, + { + "id": "table_recognition_train_item_115437", + "image": "table_instructV/images/Rotowire_train_table_2061.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Mavericks | Dallas | 120 | 36 | 33 | 24 | 27 | 25 | 44 | 9 | 55 | 78 | 38 | 1 | 1 | | | | |\n| Jazz | Utah | 102 | 20 | 24 | 29 | 29 | 22 | 40 | 16 | 43 | 89 | 40 | 0 | 2 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Mavericks | | | | | | | | | | | | | | | | | | |\n| Chandler Parsons | 29 | 21 | 7 | 2 | 8-16 | 50% | 1-3 | 33% | 4-4 | 100% | 0 | 2 | 0 | 4 | 3 | 1 | F | Dallas |\n| Dirk Nowitzki | 24 | 21 | 3 | 1 | 9-13 | 69% | 2-4 | 50% | 1-2 | 50% | 1 | 1 | 1 | 0 | 3 | 2 | F | Dallas |\n| Al-Farouq Aminu | 20 | 16 | 10 | 1 | 6-7 | 86% | 1-1 | 100% | 3-4 | 75% | 1 | 1 | 0 | 2 | 8 | 2 | N/A | Dallas |\n| Brandan Wright | 20 | 14 | 3 | 1 | 6-7 | 86% | 0-0 | 0% | 2-2 | 100% | 1 | 0 | 2 | 3 | 0 | 0 | N/A | Dallas |\n| Monta Ellis | 29 | 14 | 3 | 6 | 6-13 | 46% | 0-1 | 0% | 2-3 | 67% | 0 | 1 | 0 | 0 | 3 | 1 | G | Dallas |\n| Tyson Chandler | 25 | 13 | 6 | 2 | 5-5 | 100% | 0-0 | 0% | 3-4 | 75% | 1 | 0 | 1 | 2 | 4 | 2 | C | Dallas |\n| Devin Harris | 24 | 12 | 1 | 3 | 3-9 | 33% | 3-7 | 43% | 3-4 | 75% | 1 | 1 | 0 | 0 | 1 | 0 | N/A | Dallas |\n| Jameer Nelson | 21 | 5 | 1 | 5 | 2-4 | 50% | 1-2 | 50% | 0-0 | 0% | 2 | 1 | 0 | 0 | 1 | 3 | G | Dallas |\n| J.J. Barea | 19 | 4 | 4 | 3 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 4 | 0 | N/A | Dallas |\n| Greg Smith | 3 | 0 | 3 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 2 | 1 | 0 | N/A | Dallas |\n| Charlie Villanueva | 2 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Dallas |\n| Richard Jefferson | 16 | 0 | 2 | 1 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 2 | N/A | Dallas |\n| Jae Crowder | 9 | 0 | 0 | 0 | 0-4 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 0 | 0 | N/A | Dallas |\n| Jazz | | | | | | | | | | | | | | | | | | |\n| Derrick Favors | 35 | 17 | 11 | 2 | 7-12 | 58% | 0-0 | 0% | 3-4 | 75% | 1 | 1 | 0 | 3 | 8 | 3 | F | Utah |\n| Gordon Hayward | 36 | 16 | 4 | 6 | 4-9 | 44% | 2-7 | 29% | 6-6 | 100% | 1 | 2 | 0 | 1 | 3 | 3 | F | Utah |\n| Trey Burke | 34 | 16 | 3 | 7 | 6-15 | 40% | 2-6 | 33% | 2-2 | 100% | 2 | 4 | 0 | 3 | 0 | 0 | G | Utah |\n| Alec Burks | 26 | 15 | 1 | 2 | 5-11 | 46% | 3-5 | 60% | 2-2 | 100% | 2 | 2 | 0 | 0 | 1 | 4 | G | Utah |\n| Enes Kanter | 20 | 11 | 4 | 0 | 4-10 | 40% | 1-2 | 50% | 2-3 | 67% | 0 | 0 | 0 | 2 | 2 | 0 | C | Utah |\n| Trevor Booker | 19 | 9 | 5 | 0 | 3-6 | 50% | 3-4 | 75% | 0-0 | 0% | 0 | 1 | 0 | 1 | 4 | 2 | N/A | Utah |\n| Steve Novak | 8 | 6 | 1 | 0 | 2-3 | 67% | 2-3 | 67% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Utah |\n| Rudy Gobert | 13 | 5 | 8 | 1 | 2-3 | 67% | 0-0 | 0% | 1-1 | 100% | 0 | 3 | 0 | 5 | 3 | 2 | N/A | Utah |\n| Ian Clark | 4 | 3 | 0 | 0 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Utah |\n| Joe Ingles | 11 | 2 | 1 | 2 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Utah |\n| Dante Exum | 19 | 2 | 0 | 0 | 1-4 | 25% | 0-3 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 1 | N/A | Utah |\n| Rodney Hood | 17 | 0 | 2 | 2 | 0-7 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 4 | N/A | Utah |\n| Jeremy Evans | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |" + } + ] + }, + { + "id": "table_recognition_train_item_108110", + "image": "table_instructV/images/ToTTo_train_table_34093.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Season | Player | Pos. | Cl. | Team | Games played | Field goals made | 3-point field goals made | Free throws made | Total points | PPG | Ref. |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1947–48 | Murray Wier | G | Sr | Iowa | 19 | 152 | — | 95 | 399 | 21.0 | |\n| 1948–49 | Tony Lavelli | F | Sr | Yale | 30 | 228 | — | 215 | 671 | 22.4 | |\n| 1949–50 | Paul Arizin* | F | Sr | Villanova | 29 | 260 | — | 215 | 735 | 25.3 | |\n| 1950–51 | Bill Mlkvy | F | Sr | Temple | 25 | 303 | — | 125 | 731 | 29.2 | |\n| 1951–52 | Clyde Lovellette* | C | Sr | Kansas | 28 | 352 | — | 182 | 795 | 28.4 | |\n| 1952–53 | Frank Selvy | G | Jr | Furman | 25 | 272 | — | 194 | 738 | 29.5 | |\n| 1953–54 | Frank Selvy (2) | G | Sr | Furman | 29 | 427 | — | 355 | 1,209 | 41.7 | |\n| 1954–55 | Darrell Floyd | G | Jr | Furman | 25 | 344 | — | 209 | 897 | 35.9 | |\n| 1955–56 | Darrell Floyd (2) | G | Sr | Furman | 28 | 339 | — | 268 | 946 | 33.8 | |\n| 1956–57 | Grady Wallace | F | Sr | South Carolina | 29 | 336 | — | 234 | 906 | 31.2 | |\n| 1957–58 | Oscar Robertson* | G | So | Cincinnati | 28 | 352 | — | 280 | 984 | 35.1 | |\n| 1958–59 | Oscar Robertson* (2) | G | Jr | Cincinnati | 30 | 331 | — | 316 | 978 | 32.6 | |\n| 1959–60 | Oscar Robertson* (3) | G | Sr | Cincinnati | 30 | 369 | — | 273 | 1,011 | 33.7 | |\n| 1960–61 | Frank Burgess | G | Sr | Gonzaga | 26 | 304 | — | 234 | 842 | 32.4 | |\n| 1961–62 | Billy McGill | C/F | Sr | Utah | 26 | 394 | — | 221 | 1,009 | 38.8 | |\n| 1962–63 | Nick Werkman | F | Jr | Seton Hall | 22 | 221 | — | 208 | 650 | 29.5 | |\n| 1963–64 | Howie Komives | G | Sr | Bowling Green | 23 | 292 | — | 260 | 844 | 36.7 | |\n| 1964–65 | Rick Barry* | F | Sr | Miami (FL) | 26 | 340 | — | 293 | 973 | 37.4 | |\n| 1965–66 | Dave Schellhase | G | Sr | Purdue | 24 | 284 | — | 213 | 781 | 32.5 | |\n| 1966–67 | Jimmy Walker | G | Sr | Providence | 28 | 323 | — | 205 | 851 | 30.4 | |\n| 1967–68 | Pete Maravich* | G | So | LSU | 26 | 432 | — | 274 | 1,138 | 43.8 | |\n| 1968–69 | Pete Maravich* (2) | G | Jr | LSU | 26 | 433 | — | 282 | 1,148 | 44.2 | |\n| 1969–70 | Pete Maravich* (3) | G | Sr | LSU | 31 | 522 | — | 337 | 1,381 | 44.5 | |\n| 1970–71 | Johnny Neumann | F/G | So | Ole Miss | 23 | 366 | — | 191 | 923 | 40.1 | |\n| 1971–72 | Bo Lamar | G | Jr | Southwest Louisiana | 29 | 429 | — | 196 | 1,054 | 36.3 | |\n| 1972–73 | Bird Averitt | G | Sr | Pepperdine | 25 | 352 | — | 144 | 848 | 33.9 | |\n| 1973–74 | Larry Fogle | G | So | Canisius | 25 | 326 | — | 183 | 835 | 33.4 | |\n| 1974–75 | Bob McCurdy | G | Sr | Richmond | 26 | 321 | — | 213 | 855 | 32.9 | |\n| 1975–76 | Marshall Rogers | G | Sr | Texas–Pan American | 25 | 361 | — | 197 | 919 | 36.8 | |\n| 1976–77 | Freeman Williams | F/G | Jr | Portland State | 26 | 417 | — | 176 | 1,010 | 38.8 | |\n| 1977–78 | Freeman Williams (2) | F/G | Sr | Portland State | 27 | 410 | — | 149 | 969 | 35.9 | |\n| 1978–79 | Lawrence Butler | G | Sr | Idaho State | 27 | 310 | — | 192 | 812 | 30.1 | |\n| 1979–80 | Tony Murphy | G | Sr | Southern | 29 | 377 | — | 178 | 932 | 32.1 | |\n| 1980–81 | Zam Fredrick | G | Sr | South Carolina | 27 | 300 | — | 181 | 781 | 28.9 | |\n| 1981–82 | Harry Kelly | F | Jr | Texas Southern | 29 | 336 | — | 190 | 862 | 29.7 | |\n| 1982–83 | Harry Kelly (2) | F | Sr | Texas Southern | 29 | 333 | — | 169 | 835 | 28.8 | |\n| 1983–84 | Joe Jakubick | G | Sr | Akron | 27 | 304 | — | 206 | 814 | 30.1 | |\n| 1984–85 | Xavier McDaniel | F/C | Sr | Wichita State | 31 | 351 | — | 142 | 844 | 27.2 | |\n| 1985–86 | Terrance Bailey | G | Jr | Wagner | 29 | 321 | — | 212 | 854 | 29.4 | |\n| 1986–87 | Kevin Houston | G | Sr | Army | 29 | 311 | — | 268 | 953 | 32.9 | |\n| 1987–88 | Hersey Hawkins | G | Sr | Bradley | 31 | 377 | 87 | 284 | 1,125 | 36.3 | |\n| 1988–89 | Hank Gathers | F/C | Jr | Loyola Marymount | 31 | 419 | 0 | 177 | 1,015 | 32.7 | |\n| 1989–90 | Bo Kimble | G | Sr | Loyola Marymount | 32 | 404 | 92 | 231 | 1,131 | 35.3 | |\n| 1990–91 | Kevin Bradshaw | G | Sr | U.S. International | 28 | 358 | 60 | 278 | 1,054 | 37.6 | |\n| 1991–92 | Brett Roberts | F | Sr | Morehead State | 29 | 278 | 66 | 193 | 815 | 28.1 | |\n| 1992–93 | Greg Guy | G | Jr | Texas–Pan American | 19 | 189 | 67 | 111 | 556 | 29.3 | |\n| 1993–94 | Glenn Robinson | F | Jr | Purdue | 34 | 368 | 79 | 215 | 1,030 | 30.3 | |\n| 1994–95 | Kurt Thomas | C | Sr | TCU | 27 | 288 | 3 | 202 | 781 | 28.9 | |\n| 1995–96 | Kevin Granger | G | Sr | Texas Southern | 24 | 194 | 30 | 230 | 648 | 27.0 | |\n| 1996–97 | Charles Jones | G | Jr | Long Island | 30 | 338 | 109 | 118 | 903 | 30.1 | |\n| 1997–98 | Charles Jones (2) | G | Sr | Long Island | 30 | 326 | 116 | 101 | 869 | 29.0 | |\n| 1998–99 | Alvin Young | G | Sr | Niagara | 29 | 253 | 65 | 157 | 728 | 25.1 | |\n| 1999–00 | Courtney Alexander | G | Sr | Fresno State | 27 | 252 | 58 | 107 | 669 | 24.8 | |\n| 2000–01 | Ronnie McCollum | G | Sr | Centenary | 27 | 244 | 85 | 214 | 787 | 29.1 | |\n| 2001–02 | Jason Conley | G | Fr | VMI | 28 | 285 | 79 | 171 | 820 | 29.3 | |\n| 2002–03 | Ruben Douglas | G | Sr | New Mexico | 28 | 218 | 94 | 253 | 783 | 28.0 | |\n| 2003–04 | Keydren Clark | G | So | Saint Peter's | 29 | 233 | 112 | 197 | 775 | 26.7 | |\n| 2004–05 | Keydren Clark (2) | G | Jr | Saint Peter's | 28 | 230 | 109 | 152 | 721 | 25.8 | |\n| 2005–06 | Adam Morrison | F | Jr | Gonzaga | 33 | 306 | 74 | 240 | 926 | 28.1 | |\n| 2006–07 | Reggie Williams | G | Jr | VMI | 33 | 338 | 76 | 176 | 928 | 28.1 | |\n| 2007–08 | Reggie Williams (2) | G | Sr | VMI | 25 | 269 | 43 | 114 | 695 | 27.8 | |\n| 2008–09 | Stephen Curry | G | Jr | Davidson | 34 | 312 | 130 | 220 | 974 | 28.6 | |\n| 2009–10 | Aubrey Coleman | G | Sr | Houston | 35 | 305 | 51 | 235 | 896 | 25.6 | |\n| 2010–11 | Jimmer Fredette | G | Sr | BYU | 37 | 346 | 124 | 252 | 1,068 | 28.9 | |\n| 2011–12 | Reggie Hamilton | G | Sr | Oakland | 36 | 281 | 118 | 262 | 942 | 26.2 | |\n| 2012–13 | Erick Green | G | Sr | Virginia Tech | 32 | 261 | 61 | 218 | 801 | 25.0 | |\n| 2013–14 | Doug McDermott | F | Sr | Creighton | 35 | 330 | 96 | 178 | 934 | 26.7 | |\n| 2014–15 | Tyler Harvey | G | Jr | Eastern Washington | 32 | 230 | 128 | 150 | 738 | 23.1 | |\n| 2015–16 | James Daniel III | G | Jr | Howard | 30 | 226 | 80 | 280 | 812 | 27.1 | |\n| 2016–17 | Marcus Keene | G | Jr | Central Michigan | 32 | 313 | 125 | 208 | 959 | 30.0 | |\n| 2017–18 | Trae Young | G | Fr | Oklahoma | 32 | 261 | 118 | 236 | 876 | 27.4 | |\n| 2018–19 | Chris Clemons | G | Sr | Campbell | 33 | 304 | 139 | 246 | 993 | 30.1 | |" + } + ] + }, + { + "id": "table_recognition_train_item_107669", + "image": "table_instructV/images/ToTTo_train_table_32193.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Manufacturer: | Bucyrus-Erie |\n| --- | --- |\n| Model: | 4250-W, \"Big Muskie\" |\n| Weight: | 27,000,000 pounds (12,000 t; 14,000 short tons) |\n| Bucket Capacity: | 220 cubic yards (170 m3), 325 short tons (295 t) |\n| Height: | 222 feet 6 inches (67.82 m) |\n| Boom length: | 310 feet (94 m) |\n| Machine length (boom down): | 487 feet 6 inches (148.59 m) |\n| Bucket weight (empty): | 230 short tons (210 t) |\n| Width: | 151 feet 6 inches (46.18 m)—comparable to an eight-lane highway |\n| Cable diameter: | 5 inches (130 mm) |\n| Electrical power: | 13,800 volts |\n| Mobility: | Hydraulically driven walker feet |" + } + ] + }, + { + "id": "table_recognition_train_item_116789", + "image": "table_instructV/images/Rotowire_train_table_2737.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pistons | Detroit | 91 | 27 | 26 | 20 | 18 | 22 | 32 | 7 | 49 | 68 | 26 | 0 | 3 | | | | |\n| Cavaliers | Cleveland | 101 | 24 | 30 | 25 | 22 | 24 | 46 | 10 | 49 | 73 | 41 | 3 | 0 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pistons | | | | | | | | | | | | | | | | | | |\n| Kentavious Caldwell-Pope | 43 | 18 | 3 | 1 | 7-14 | 50% | 3-8 | 38% | 1-1 | 100% | 4 | 1 | 0 | 0 | 3 | 1 | G | Detroit |\n| Andre Drummond | 27 | 17 | 7 | 0 | 8-14 | 57% | 0-0 | 0% | 1-6 | 17% | 0 | 0 | 2 | 3 | 4 | 1 | C | Detroit |\n| Marcus Morris | 39 | 16 | 3 | 3 | 5-11 | 46% | 0-2 | 0% | 6-6 | 100% | 0 | 1 | 0 | 0 | 3 | 3 | F | Detroit |\n| Tobias Harris | 42 | 13 | 7 | 4 | 6-10 | 60% | 1-3 | 33% | 0-0 | 0% | 1 | 1 | 1 | 0 | 7 | 5 | F | Detroit |\n| Reggie Jackson | 39 | 13 | 4 | 12 | 5-16 | 31% | 1-8 | 13% | 2-2 | 100% | 2 | 1 | 0 | 0 | 4 | 2 | G | Detroit |\n| Stanley Johnson | 14 | 9 | 1 | 0 | 3-4 | 75% | 1-1 | 100% | 2-2 | 100% | 0 | 0 | 0 | 0 | 1 | 3 | N/A | Detroit |\n| Aron Baynes | 16 | 3 | 4 | 1 | 1-2 | 50% | 0-0 | 0% | 1-2 | 50% | 0 | 3 | 0 | 2 | 2 | 2 | N/A | Detroit |\n| Anthony Tolliver | 11 | 2 | 2 | 0 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Detroit |\n| Steve Blake | 9 | 0 | 1 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Detroit |\n| Darrun Hilliard | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Jodie Meeks | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Joel Anthony | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Spencer Dinwiddie | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Cavaliers | | | | | | | | | | | | | | | | | | |\n| Kyrie Irving | 39 | 26 | 0 | 4 | 11-20 | 55% | 3-6 | 50% | 1-1 | 100% | 0 | 2 | 0 | 0 | 0 | 1 | G | Cleveland |\n| Kevin Love | 39 | 20 | 12 | 2 | 7-10 | 70% | 1-3 | 33% | 5-6 | 83% | 0 | 1 | 0 | 2 | 10 | 0 | F | Cleveland |\n| LeBron James | 43 | 20 | 13 | 7 | 8-24 | 33% | 1-6 | 17% | 3-5 | 60% | 0 | 5 | 1 | 1 | 12 | 2 | F | Cleveland |\n| Matthew Dellavedova | 16 | 12 | 0 | 5 | 4-5 | 80% | 2-3 | 67% | 2-2 | 100% | 0 | 0 | 0 | 0 | 0 | 3 | N/A | Cleveland |\n| JR Smith | 37 | 9 | 9 | 3 | 3-9 | 33% | 3-8 | 38% | 0-0 | 0% | 1 | 0 | 0 | 1 | 8 | 3 | G | Cleveland |\n| Tristan Thompson | 31 | 8 | 10 | 1 | 4-7 | 57% | 0-0 | 0% | 0-1 | 0% | 1 | 1 | 2 | 8 | 2 | 3 | C | Cleveland |\n| Iman Shumpert | 12 | 6 | 2 | 1 | 2-5 | 40% | 2-3 | 67% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 2 | N/A | Cleveland |\n| Channing Frye | 9 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 0 | 1 | N/A | Cleveland |\n| Richard Jefferson | 14 | 0 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Cleveland |\n| Dahntay Jones | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Timofey Mozgov | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| James Jones | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Mo Williams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |" + } + ] + }, + { + "id": "table_recognition_train_item_101909", + "image": "table_instructV/images/ToTTo_train_table_8166.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Win | 16–7 (1) | Mauro Cerilli | KO (punch) | ONE Championship: Conquest of Champions | November 23, 2018 | 1 | 1:04 | Pasay City, Philippines | Defended the ONE Heavyweight Championship. |\n| Win | 15–7 (1) | Hideki Sekine | TKO (body kick and punches) | ONE Championship: Age of Domination | December 2, 2016 | 1 | 3:11 | Pasay City, Philippines | Defended the ONE Heavyweight Championship. |\n| Win | 14–7 (1) | Paul Cheng | KO (punch and head kick) | ONE Championship: Spirit of Champions | December 11, 2015 | 1 | 0:26 | Pasay City, Philippines | Won the inaugural ONE Heavyweight Championship. |\n| Win | 13–7 (1) | Igor Subora | TKO (punch and soccer kicks) | ONE Fighting Championship: Warrior's Way | December 5, 2014 | 1 | 3:54 | Pasay City, Philippines | |\n| Loss | 12–7 (1) | Ben Rothwell | TKO (punches and knees) | UFC 164 | August 31, 2013 | 3 | 1:54 | Milwaukee, Wisconsin, United States | Heavyweight return. Rothwell tested positive for high testosterone. |\n| Loss | 12–6 (1) | Maurício Rua | TKO (punches) | UFC on Fox: Shogun vs. Vera | August 4, 2012 | 4 | 4:03 | Los Angeles, California, United States | |\n| Win | 12–5 (1) | Eliot Marshall | Decision (unanimous) | UFC 137 | October 29, 2011 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| NC | 11–5 (1) | Thiago Silva | NC (overturned) | UFC 125 | January 1, 2011 | 3 | 5:00 | Las Vegas, Nevada, United States | Originally unanimous decision loss; result overturned after Silva falsified his urine sample. |\n| Loss | 11–5 | Jon Jones | TKO (elbow and punches) | UFC Live: Vera vs. Jones | March 21, 2010 | 1 | 3:19 | Broomfield, Colorado, United States | |\n| Loss | 11–4 | Randy Couture | Decision (unanimous) | UFC 105 | November 14, 2009 | 3 | 5:00 | Manchester, England, United Kingdom | |\n| Win | 11–3 | Krzysztof Soszynski | Decision (unanimous) | UFC 102 | August 29, 2009 | 3 | 5:00 | Portland, Oregon, United States | |\n| Win | 10–3 | Michael Patt | TKO (leg kicks) | UFC 96 | March 7, 2009 | 2 | 1:27 | Columbus, Ohio, United States | |\n| Loss | 9–3 | Keith Jardine | Decision (split) | UFC 89 | October 18, 2008 | 3 | 5:00 | Birmingham, England, United Kingdom | |\n| Win | 9–2 | Reese Andy | Decision (unanimous) | UFC Fight Night: Silva vs Irvin | July 19, 2008 | 3 | 5:00 | Las Vegas, Nevada, United States | Light Heavyweight debut. |\n| Loss | 8–2 | Fabrício Werdum | TKO (punches) | UFC 85 | June 7, 2008 | 1 | 4:40 | London, England, United Kingdom | |\n| Loss | 8–1 | Tim Sylvia | Decision (unanimous) | UFC 77 | October 20, 2007 | 3 | 5:00 | Cincinnati, Ohio, United States | |\n| Win | 8–0 | Frank Mir | TKO (knees and punches) | UFC 65 | November 18, 2006 | 1 | 1:09 | Sacramento, California, United States | |\n| Win | 7–0 | Assuerio Silva | Submission (guillotine choke) | UFC 60 | May 27, 2006 | 1 | 2:39 | Los Angeles, California, United States | |\n| Win | 6–0 | Justin Eilers | KO (head kick and knee) | UFC 57 | February 4, 2006 | 1 | 1:25 | Las Vegas, Nevada, United States | |\n| Win | 5–0 | Fabiano Scherner | TKO (knees and punches) | UFC Fight Night 2 | October 3, 2005 | 2 | 3:22 | Las Vegas, Nevada, United States | |\n| Win | 4–0 | Mike Whitehead | TKO (doctor stoppage) | WEC 13 | January 22, 2005 | 2 | 1:12 | Lemoore, California, United States | Won 2005 WEC Heavyweight Grand Prix Championship. |\n| Win | 3–0 | Andre Mussi | KO (knees and punches) | WEC 13 | January 22, 2005 | 1 | 0:51 | Lemoore, California, United States | 2005 WEC Heavyweight Grand Prix Semifinal. |\n| Win | 2–0 | Don Richards | Decision (unanimous) | Next Level Fighting 1 | September 13, 2003 | 2 | 5:00 | Steubenville, Ohio, United States | |\n| Win | 1–0 | Adam Rivera | TKO (punches) | Excalibur Fighting 11 | July 6, 2002 | 1 | 3:20 | Richmond, Virginia, United States | |" + } + ] + }, + { + "id": "table_recognition_train_item_59974", + "image": "table_instructV/images/TabFact_2-184807-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| draw | language | artist | song | english translation | place | points |\n| --- | --- | --- | --- | --- | --- | --- |\n| 01 | german | margot eskens | die zeiger der uhr | the hands of the clock | 10 | 7 |\n| 02 | danish | ulla pia | stop - mens legen er go' | stop while the going 's good | 14 | 4 |\n| 03 | french | tonia | un peu de poivre , un peu de sel | a bit of pepper , a bit of salt | 4 | 14 |\n| 04 | french | michèle torr | ce soir je t'attendais | tonight , i waited for you | 10 | 7 |\n| 05 | slovene | berta ambrož | brez besed | without words | 7 | 9 |\n| 06 | norwegian | åse kleveland | intet er nytt under solen | nothing is new under the sun | 3 | 15 |\n| 07 | finnish | ann christine | playboy | - | 10 | 7 |\n| 08 | portuguese | madalena iglésias | ele e ela | he and she | 13 | 6 |\n| 09 | german | udo jürgens | merci , chérie | thank you , darling | 1 | 31 |\n| 10 | swedish | lill lindfors & svante thuresson | nygammal vals | new , yet familiar , waltz | 2 | 16 |\n| 11 | spanish | raphael | yo soy aquél | i'm that one | 7 | 9 |\n| 12 | french | madeleine pascal | ne vois - tu pas | don't you see | 6 | 12 |\n| 13 | french | tereza kesovija | bien plus fort | altogether stronger | 17 | 0 |\n| 14 | italian | domenico modugno | dio , come ti amo | god , how i love you | 17 | 0 |\n| 15 | french | dominique walter | chez nous | our place | 16 | 1 |\n| 16 | dutch | milly scott | fernando en filippo | fernando and filippo | 15 | 2 |\n| 17 | english | dickie rock | come back to stay | - | 4 | 14 |\n| 18 | english | kenneth mckellar | a man without love | - | 9 | 8 |" + } + ] + }, + { + "id": "table_recognition_train_item_115189", + "image": "table_instructV/images/Rotowire_train_table_1937.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Raptors | Toronto | 87 | 28 | 17 | 19 | 23 | 18 | 48 | 14 | 43 | 79 | 31 | 35 | 17 | | | | |\n| Spurs | San Antonio | 82 | 25 | 21 | 12 | 24 | 23 | 52 | 14 | 33 | 81 | 25 | 32 | 19 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| James Johnson | 30 | 20 | 4 | 0 | 8-10 | 80% | 1-1 | 100% | 3-4 | 75% | 0 | 1 | 0 | 1 | 3 | 0 | F | Toronto |\n| DeMar DeRozan | 36 | 18 | 3 | 4 | 4-14 | 29% | 0-1 | 0% | 10-12 | 83% | 3 | 3 | 1 | 0 | 3 | 4 | G | Toronto |\n| Amir Johnson | 26 | 15 | 8 | 1 | 6-8 | 75% | 0-0 | 0% | 3-4 | 75% | 1 | 1 | 1 | 1 | 7 | 3 | F | Toronto |\n| Kyle Lowry | 37 | 12 | 5 | 7 | 5-15 | 33% | 1-4 | 25% | 1-2 | 50% | 2 | 4 | 0 | 0 | 5 | 2 | G | Toronto |\n| Jonas Valanciunas | 34 | 8 | 16 | 0 | 3-7 | 43% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 4 | 3 | 13 | 1 | C | Toronto |\n| Patrick Patterson | 27 | 7 | 3 | 2 | 3-4 | 75% | 1-2 | 50% | 0-0 | 0% | 2 | 0 | 1 | 0 | 3 | 0 | N/A | Toronto |\n| Greivis Vasquez | 16 | 5 | 2 | 2 | 2-6 | 33% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Toronto |\n| Terrence Ross | 15 | 2 | 4 | 1 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 0 | 4 | 0 | N/A | Toronto |\n| Lou Williams | 15 | 0 | 1 | 1 | 0-5 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 2 | N/A | Toronto |\n| Tyler Hansbrough | 4 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 1 | N/A | Toronto |\n| Charles Hayes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Greg Stiemsma | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Landry Fields | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Tim Duncan | 32 | 12 | 12 | 5 | 3-14 | 21% | 0-0 | 0% | 6-6 | 100% | 2 | 2 | 2 | 5 | 7 | 1 | F | San Antonio |\n| Marco Belinelli | 17 | 12 | 2 | 3 | 5-8 | 63% | 2-4 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | San Antonio |\n| Kawhi Leonard | 37 | 11 | 5 | 1 | 5-17 | 29% | 1-5 | 20% | 0-0 | 0% | 1 | 3 | 0 | 2 | 3 | 1 | F | San Antonio |\n| Tony Parker | 30 | 10 | 3 | 3 | 4-13 | 31% | 1-3 | 33% | 1-2 | 50% | 0 | 2 | 1 | 1 | 2 | 3 | G | San Antonio |\n| Tiago Splitter | 19 | 10 | 7 | 2 | 4-8 | 50% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 1 | 4 | 3 | 1 | N/A | San Antonio |\n| Manu Ginobili | 27 | 9 | 4 | 3 | 3-13 | 23% | 1-7 | 14% | 2-2 | 100% | 1 | 1 | 0 | 1 | 3 | 3 | N/A | San Antonio |\n| Danny Green | 24 | 6 | 7 | 2 | 2-9 | 22% | 1-6 | 17% | 1-2 | 50% | 3 | 0 | 1 | 1 | 6 | 2 | G | San Antonio |\n| Boris Diaw | 24 | 6 | 6 | 2 | 2-5 | 40% | 1-2 | 50% | 1-2 | 50% | 1 | 2 | 1 | 3 | 3 | 1 | N/A | San Antonio |\n| Cory Joseph | 11 | 4 | 1 | 1 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 0 | 1 | 1 | N/A | San Antonio |\n| Aron Baynes | 13 | 2 | 5 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 3 | 2 | 2 | C | San Antonio |\n| Patty Mills | 6 | 0 | 0 | 1 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | San Antonio |\n| Matt Bonner | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | San Antonio |\n| Jeff Ayres | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |" + } + ] + }, + { + "id": "table_recognition_train_item_69440", + "image": "table_instructV/images/TabFact_2-12162698-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| language | number | percentage (%) | males | females |\n| --- | --- | --- | --- | --- |\n| polish | 666 772 | 87.5 | 323 858 | 342 914 |\n| yiddish | 83 017 | 10.89 | 40 528 | 42 489 |\n| russian | 7 983 | 1.04 | 6 506 | 1 477 |\n| german | 2 428 | 0.31 | 1 224 | 1 204 |\n| ukrainian | 1 088 | 0.16 | 1 015 | 73 |\n| other | 706 | >0.1 | 568 | 138 |\n| persons that didn't name their native language | 1 | >0.01 | 1 | 0 |\n| total | 761 995 | 100 | 373 700 | 388 295 |" + } + ] + }, + { + "id": "table_recognition_train_item_31268", + "image": "table_instructV/images/TABMWP_5852.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Number of packages | Number of bottles of water |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | 20 |\n| 5 | 25 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_69784", + "image": "table_instructV/images/TabFact_2-11233225-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| year | competition | date | location | score | result |\n| --- | --- | --- | --- | --- | --- |\n| 1997 | europe / africa zone group i - pool b | 22 april | bari ( ita ) | 2 - 1 | won |\n| 1997 | europe / africa zone group i - pool b | 23 april | bari ( ita ) | 3 - 0 | won |\n| 1997 | europe / africa zone group i - pool b | 24 april | bari ( ita ) | 3 - 0 | won |\n| 1997 | europe / africa zone group i - semifinals | 25 april | bari ( ita ) | 3 - 0 | won |\n| 1997 | europe / africa zone group i - final | 26 april | bari ( ita ) | 2 - 1 | won |\n| 1997 | world group ii play - offs | 12 - 13 july | jakarta ( ina ) | 5 - 0 | won |\n| 1998 | world group ii | 18 - 19 april | foligno ( ita ) | 3 - 2 | won |\n| 1998 | world group play - offs | 25 - 26 july | prague ( cze ) | 4 - 1 | won |\n| 1999 | world group , first round | 17 - 18 april | reggio calabria ( ita ) | 3 - 2 | won |\n| 1999 | world group , semifinals | 24 - 25 july | ancona ( ita ) | 1 - 4 | lose |" + } + ] + }, + { + "id": "table_recognition_train_item_55652", + "image": "table_instructV/images/TabFact_1-2679061-12.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| pick | player | position | nationality | nhl team | college / junior / club team |\n| --- | --- | --- | --- | --- | --- |\n| 223 | dave goertz | defence | canada | pittsburgh penguins | regina pats (whl) |\n| 224 | darcy kaminski | defence | canada | hartford whalers | lethbridge broncos (whl) |\n| 225 | alexei kasatonov | defence | soviet union | new jersey devils | moscow cska (ussr) |\n| 226 | chuck chiatto | centre | united states | detroit red wings | cranbrook high school (ushs - mi |\n| 227 | chad johnson | centre | united states | los angeles kings | roseau high school (ushs - mn) |\n| 228 | ron choules | left wing | canada | toronto maple leafs | trois - rivieres draveurs (qmjhl) |\n| 229 | jamie husgen | defence | united states | winnipeg jets | des moines buccaneers (ushl) |\n| 230 | jay mazur | right wing | canada | vancouver canucks | breck school (ushs - mn) |\n| 231 | sergei makarov | right wing | soviet union | calgary flames | moscow cska (ussr) |\n| 232 | bo berglund | right wing | sweden | quebec nordiques | djurgardens if (sweden) |\n| 233 | ulf nilsson | goaltender | sweden | new york rangers | skelleftea (sweden) |\n| 234 | marc hamelin | goaltender | canada | buffalo sabres | shawinigan cataractes (qmjhl) |\n| 235 | kermit salfi | left wing | united states | buffalo sabres | northwood school (ushs - ny) |\n| 236 | paul roff | right wing | united states | minnesota north stars | edina high school (ushs - mn) |\n| 237 | peter mcgeough | defence | united states | new york islanders | bishop hendricken high school (ushs - ri) |\n| 238 | jean - guy bergeron | defence | canada | montreal canadiens | shawinigan cataractes (qmjhl) |\n| 239 | jindrich kokrment | centre | czechoslovakia | quebec nordiques | litvinov (czechoslovakia) |\n| 240 | steven woodburn | defence | canada | edmonton oilers | verdun juniors (qmjhl) |\n| 241 | harold duvall | left wing | united states | philadelphia flyers | belmont hill school (ushs - ma) |\n| 242 | greg murphy | defence | united states | boston bruins | trinity - pawling high school (ushs - ny) |" + } + ] + }, + { + "id": "table_recognition_train_item_62620", + "image": "table_instructV/images/TabFact_1-27462177-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| no in series | title | directed by | written by | us viewers (millions) | original us air date | prod code |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | crazy ten minute sale | fred savage | todd j greenwald | 5.9 | october 12 , 2007 | 102 |\n| 2 | first kiss | joe regalbuto | vince cheung & ben montanio | 4.8 | october 19 , 2007 | 104 |\n| 3 | i almost drowned in a chocolate fountain | joe regalbuto | gigi mccreery & perry rein | 3.7 | october 26 , 2007 | 105 |\n| 4 | new employee | bob berlinger | peter murrieta | n / a | november 2 , 2007 | 107 |\n| 5 | disenchanted evening | mark cendrowski | jack sanderson | 4.6 | november 9 , 2007 | 114 |\n| 6 | you can't always get what you carpet | fred savage | peter murrieta | 4.0 | november 10 , 2007 | 101 |\n| 7 | alex 's choice | bob berlinger | matt goldman | n / a | november 16 , 2007 | 109 |\n| 8 | curb your dragon | bob berlinger | gigi mccreery & perry rein | n / a | november 30 , 2007 | 108 |\n| 9 | movies | mark cendrowski | justin varava | n / a | december 14 , 2007 | 113 |\n| 10 | pop me and we both go down | bob berlinger | vince cheung & ben montanio | n / a | january 6 , 2008 | 103 |\n| 11 | potion commotion | bob berlinger | todd j greenwald | n / a | february 10 , 2008 | 110 |\n| 12 | justin 's little sister | andrew tsao | eve weston | n / a | march 9 , 2008 | 117 |\n| 13 | wizard school (part 1) | mark cendrowski | vince cheung & ben montanio | 3.7 | april 6 , 2008 | 111 |\n| 14 | wizard school (part 2) | mark cendrowski | gigi mccreery & perry rein | 3.7 | april 6 , 2008 | 112 |\n| 15 | the supernatural | mark cendrowski | matt goldman | n / a | may 18 , 2008 | 115 |\n| 16 | alex in the middle | bob berlinger | matt goldman | n / a | june 15 , 2008 | 106 |\n| 17 | report card | andrew tsao | gigi mccreery , perry rein & peter murrieta | n / a | june 29 , 2008 | 118 |\n| 18 | credit check | fred savage | todd j greenwald | n / a | july 6 , 2008 | 121 |\n| 19 | alex 's spring fling | victor gonzalez | matt goldman | n / a | july 20 , 2008 | 119 |\n| 20 | quinceaã±era | victor gonzalez | gigi mccreery & perry rein | 3.7 | august 10 , 2008 | 116 |" + } + ] + }, + { + "id": "table_recognition_train_item_52146", + "image": "table_instructV/images/TabFact_2-12868148-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| season | chassis | engine | tyres | rounds | teams | drivers | champion (points) | second (points) | third (points) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2005 - 06 | lola | zytek | cooper avon | 11 | 25 | 58 | france (172) | switzerland (121) | great britain (97) |\n| 2006 - 07 | lola | zytek | cooper avon | 11 | 24 | 61 | germany (128) | new zealand (93) | great britain (92) |\n| 2007 - 08 | lola | zytek | cooper avon | 10 | 22 | 46 | switzerland (168) | new zealand (127) | great britain (126) |\n| 2008 - 09 | a1 gp | ferrari | michelin | 7 | 21 | 35 | ireland (112) | switzerland (95) | portugal (92) |\n| 2009 - 10 | season cancelled | season cancelled | season cancelled | season cancelled | season cancelled | season cancelled | season cancelled | season cancelled | season cancelled |" + } + ] + }, + { + "id": "table_recognition_train_item_100784", + "image": "table_instructV/images/ToTTo_train_table_3328.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Temple names (Miếu hiệu) | Birth names (Tên húy) | Birth-Death | Period of reigns | Era names (Niên hiệu) | Posthumous names (Thụy hiệu) | Ref. |\n| --- | --- | --- | --- | --- | --- | --- |\n| Thái Tổ (太祖) | Trần Thừa (陳承) | 1184–1234 | 1226–1234 | | Khai Vận Lập Cực Hoằng Nhân Ứng Đạo Thuần Chân Chí Đức Thần Vũ Thánh Văn Thùy Dụ Chí Hiếu Hoàng Đế (開運立極弘仁應道純真至德神武聖文垂裕至孝皇帝) | |\n| Thái Tông (太宗) | Trần Cảnh (陳煚) | 1218–1277 | 1226–1258 | Kiến Trung (建中, 1226–1232) Thiên Ứng Chính Bình (天應政平, 1232–1251) Nguyên Phong (元豐, 1251–1258) | Thống thiên ngự cực long công mậu đức hiển hòa hựu thuận thần văn thánh vũ nguyên hiếu hoàng đế (統天御極隆功茂德顯和佑順神文聖武元孝皇帝) | |\n| Thánh Tông (聖宗) | Trần Hoảng (陳晃) | 1240–1290 | 1258–1278 | Thiệu Long (紹隆, 1258–1272) Bảo Phù (寶符, 1273–1278) | Huyền công thịnh đức nhân minh văn vũ tuyên hiếu hoàng đế (玄功盛德仁明文武宣孝皇帝) | |\n| Nhân Tông (仁宗) | Trần Khâm (陳昑) | 1258–1308 | 1278–1293 | Thiệu Bảo (紹寶, 1278–1285) Trùng Hưng (重興, 1285–1293) | Pháp thiên sùng đạo ứng thế hoa dân long từ hiển huệ thánh văn thần vũ nguyên minh duệ hiếu hoàng đế (法天崇道應世化民隆慈顯惠聖文神武元明睿孝皇帝) | |\n| Anh Tông (英宗) | Trần Thuyên (陳烇) | 1276–1320 | 1293–1314 | Hưng Long (興隆, 1293–1314) | Hiển văn duệ vũ khâm minh nhân hiếu hoàng đế (顯文睿武欽明仁孝皇帝) | |\n| Minh Tông (明宗) | Trần Mạnh (陳奣) | 1300–1357 | 1314–1329 | Đại Khánh (大慶, 1314–1323) Khai Thái (開泰, 1324–1329) | Chương nghiêu văn triết hoàng đế (章堯文哲皇帝) | |\n| Hiến Tông (憲宗) | Trần Vượng (陳旺) | 1319–1341 | 1329–1341 | Khai Hựu (開佑, 1329–1341) | | |\n| Dụ Tông (裕宗) | Trần Hạo (陳暭) | 1336–1369 | 1341–1369 | Thiệu Phong (紹豐, 1341–1357) Đại Trị (大治, 1358–1369) | | |\n| | Dương Nhật Lễ (楊日禮) | ?–1370 | 1369–1370 | Đại Định (大定, 1369–1370) | Hôn Đức Công (昏德公) | |\n| Nghệ Tông (藝宗) | Trần Phủ (陳暊) | 1321–1394 | 1370–1372 | Thiệu Khánh (紹慶, 1370–1372) | Quang nghiêu anh triết hoàng đế (光堯英哲皇帝) | |\n| Duệ Tông (睿宗) | Trần Kính (陳曔) | 1337–1377 | 1373–1377 | Long Khánh (隆慶, 1373–1377) | | |\n| | Trần Hiện (陳晛) | 1361–1388 | 1377–1388 | Xương Phù (昌符, 1377–1388) | Phế Đế (廢帝) | |\n| Thuận Tông (順宗) | Trần Ngung (陳顒) | 1378–1399 | 1388–1398 | Quang Thái (光泰, 1388–1398) | | |\n| | Trần An (陳𤇼) | 1396–? | 1398–1400 | Kiến Tân (建新, 1398–1400) | Thiếu Đế (少帝) | |\n| | Trần Ngỗi (陳頠) | ? – 1410 | 2/10/1407 – 1409 | Hưng Khánh (興慶, 1407–1409) | Giản Định Đế | |\n| | Trần Quý Khoáng (陳季擴) | ? – 1414 | 17/3/1409 – 1414 | Trùng Quang (重光, 1409–1414) | Trùng Quang Đế (重光帝) | |\n| | Trần Cảo (陳暠) | ? – 1428 | 1426–1428 | Thiên Khánh (天慶, 1426–1428) | | |" + } + ] + }, + { + "id": "table_recognition_train_item_49018", + "image": "table_instructV/images/TAT-QA_6d8cd709-6710-4195-a072-54581b88f604.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | | Year ended December 31, | |\n| --- | --- | --- | --- |\n| | 2019 | 2018 | 2017 |\n| Net cash provided by operating activities | $64,846 | $72,130 | $41,165 |\n| Net cash used in investing activities | (296,780) | (83,448) | (26,387) |\n| Net cash provided by financing activities | 9,042 | 397,255 | 6,783 |\n| Effect of exchange rate changes | 169 | (800) | (724) |\n| Net (decrease) increase in cash, cash equivalents, and restricted cash | $(222,723) | 385,137 | 20,837 |" + } + ] + }, + { + "id": "table_recognition_train_item_115899", + "image": "table_instructV/images/Rotowire_train_table_2292.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kings | Sacramento | 94 | 14 | 24 | 30 | 26 | 26 | 45 | 21 | 44 | 75 | 32 | 1 | 6 | | | | |\n| Warriors | Golden State | 103 | 20 | 26 | 26 | 31 | 27 | 46 | 18 | 41 | 86 | 21 | 7 | 0 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Kings | | | | | | | | | | | | | | | | | | |\n| Rudy Gay | 34 | 22 | 7 | 1 | 10-25 | 40% | 1-4 | 25% | 1-1 | 100% | 1 | 4 | 0 | 2 | 5 | 2 | F | Sacramento |\n| Marco Belinelli | 35 | 22 | 3 | 2 | 5-11 | 46% | 3-6 | 50% | 9-10 | 90% | 1 | 4 | 0 | 1 | 2 | 1 | N/A | Sacramento |\n| Rajon Rondo | 44 | 14 | 12 | 15 | 7-20 | 35% | 0-3 | 0% | 0-0 | 0% | 4 | 3 | 0 | 2 | 10 | 3 | G | Sacramento |\n| Kosta Koufos | 27 | 12 | 10 | 0 | 6-9 | 67% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 5 | 5 | 5 | C | Sacramento |\n| Omri Casspi | 29 | 10 | 8 | 2 | 4-7 | 57% | 2-4 | 50% | 0-0 | 0% | 0 | 3 | 0 | 1 | 7 | 3 | N/A | Sacramento |\n| Willie Cauley-Stein | 20 | 6 | 1 | 1 | 3-4 | 75% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 1 | 0 | 2 | N/A | Sacramento |\n| Quincy Acy | 15 | 3 | 3 | 2 | 1-1 | 100% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 1 | 0 | 3 | 0 | F | Sacramento |\n| Ben McLemore | 16 | 2 | 1 | 0 | 1-4 | 25% | 0-1 | 0% | 0-1 | 0% | 1 | 4 | 0 | 1 | 0 | 2 | N/A | Sacramento |\n| James Anderson | 14 | 2 | 0 | 3 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 1 | 0 | 0 | 1 | G | Sacramento |\n| Caron Butler | 6 | 1 | 0 | 0 | 0-3 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Sacramento |\n| Duje Dukan | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Eric Moreland | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Seth Curry | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 39 | 24 | 6 | 3 | 8-18 | 44% | 2-10 | 20% | 6-7 | 86% | 2 | 6 | 0 | 1 | 5 | 1 | G | Golden State |\n| Klay Thompson | 36 | 18 | 3 | 3 | 7-16 | 44% | 4-11 | 36% | 0-0 | 0% | 0 | 3 | 1 | 0 | 3 | 4 | G | Golden State |\n| Andre Iguodala | 34 | 14 | 6 | 4 | 6-8 | 75% | 2-3 | 67% | 0-0 | 0% | 4 | 1 | 0 | 2 | 4 | 0 | N/A | Golden State |\n| Harrison Barnes | 32 | 13 | 2 | 4 | 4-17 | 24% | 0-7 | 0% | 5-6 | 83% | 2 | 0 | 0 | 0 | 2 | 3 | F | Golden State |\n| Draymond Green | 38 | 10 | 9 | 7 | 3-8 | 38% | 0-3 | 0% | 4-4 | 100% | 2 | 5 | 0 | 4 | 5 | 3 | F | Golden State |\n| Festus Ezeli | 22 | 10 | 12 | 0 | 3-9 | 33% | 0-0 | 0% | 4-5 | 80% | 0 | 1 | 1 | 4 | 8 | 0 | C | Golden State |\n| Shaun Livingston | 18 | 6 | 1 | 3 | 3-5 | 60% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 2 | N/A | Golden State |\n| Leandro Barbosa | 12 | 4 | 4 | 3 | 2-7 | 29% | 0-4 | 0% | 0-0 | 0% | 1 | 1 | 0 | 3 | 1 | 1 | N/A | Golden State |\n| Jason Thompson | 7 | 2 | 3 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 1 | N/A | Golden State |\n| Marreese Speights | 3 | 2 | 0 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Golden State |\n| James Michael McAdoo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Ian Clark | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Brandon Rush | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |" + } + ] + }, + { + "id": "table_recognition_train_item_64238", + "image": "table_instructV/images/TabFact_2-15635768-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| ecosystem | date of issue | place of issue | no stamps in sheet | face value | printer |\n| --- | --- | --- | --- | --- | --- |\n| sonoran desert | april 6 , 1999 | tucson , arizona | 10 | 33 | banknote corporation of america |\n| pacific coast rain forest | march 28 , 2000 | seattle , washington | 10 | 33 | banknote corporation of america |\n| great plains prairie | march 29 , 2001 | lincoln , nebraska | 10 | 34 | ashton - potter (usa) ltd |\n| longleaf pine forest | april 26 , 2002 | tallahassee , florida | 10 | 34 | american packaging corp for sennet security |\n| arctic tundra | july 1 , 2003 | fairbanks , alaska | 10 | 37 | banknote corporation of america |\n| pacific coral reef | jan 2 , 2004 | honolulu , hawaii | 10 | 37 | avery dennison |\n| northeast deciduous forest | march 3 , 2005 | new york , new york | 10 | 37 | avery dennison |\n| southern florida wetland | october 5 , 2006 | naples , florida | 10 | 39 | avery dennison |\n| alpine tundra | august 28 , 2007 | estes park , colorado | 10 | 41 | sennett security products |\n| great lakes dunes | october 2 , 2008 | empire , michigan | 10 | 42 | avery dennison |\n| kelp forest | october 1 , 2009 | monterey , california | 10 | 44 | avery dennison |\n| hawaiian rain forest | september 1 , 2010 | hawaii national park | 10 | 44 | banknote corporation of america , inc |" + } + ] + }, + { + "id": "table_recognition_train_item_33751", + "image": "table_instructV/images/TABMWP_32273.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Employee | Pay period | |\n| --- | --- |\n| Eunice Kim | January 20-26 | |\n| Total earnings | | $323.00 |\n| Federal income tax | $35.00 | |\n| State income tax | $25.03 | |\n| Other taxes | $24.71 | |\n| Total taxes | | ? |\n| Pay after taxes | | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_116171", + "image": "table_instructV/images/Rotowire_train_table_2428.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wizards | Washington | 99 | 40 | 27 | 21 | 11 | 24 | 43 | 15 | 46 | 89 | 30 | 35 | 27 | | | | |\n| Heat | Miami | 97 | 18 | 21 | 34 | 24 | 18 | 37 | 14 | 47 | 68 | 37 | 27 | 34 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| Nene | 32 | 20 | 2 | 4 | 6-12 | 50% | 0-0 | 0% | 8-8 | 100% | 0 | 3 | 0 | 0 | 2 | 3 | F | Washington |\n| Bradley Beal | 33 | 17 | 2 | 1 | 6-11 | 55% | 2-4 | 50% | 3-5 | 60% | 0 | 1 | 0 | 0 | 2 | 4 | G | Washington |\n| Marcin Gortat | 32 | 14 | 17 | 1 | 7-12 | 58% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 2 | 4 | 13 | 1 | C | Washington |\n| Drew Gooden | 17 | 11 | 4 | 0 | 4-9 | 44% | 1-3 | 33% | 2-2 | 100% | 0 | 0 | 0 | 2 | 2 | 2 | N/A | Washington |\n| Paul Pierce | 22 | 10 | 3 | 1 | 4-9 | 44% | 2-6 | 33% | 0-0 | 0% | 0 | 3 | 0 | 0 | 3 | 0 | F | Washington |\n| Garrett Temple | 18 | 6 | 1 | 1 | 2-3 | 67% | 2-3 | 67% | 0-0 | 0% | 0 | 1 | 0 | 1 | 0 | 3 | N/A | Washington |\n| John Wall | 35 | 6 | 7 | 12 | 2-7 | 29% | 0-3 | 0% | 2-2 | 100% | 3 | 0 | 2 | 1 | 6 | 1 | G | Washington |\n| Otto Porter | 28 | 6 | 3 | 1 | 3-10 | 30% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 2 | 3 | N/A | Washington |\n| Ramon Sessions | 13 | 5 | 3 | 2 | 2-5 | 40% | 0-2 | 0% | 1-1 | 100% | 2 | 2 | 0 | 0 | 3 | 2 | N/A | Washington |\n| Kevin Seraphin | 9 | 4 | 1 | 1 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 1 | 0 | 2 | N/A | Washington |\n| Martell Webster | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| DeJuan Blair | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Rasual Butler | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Goran Dragic | 29 | 18 | 5 | 7 | 7-12 | 58% | 1-2 | 50% | 3-7 | 43% | 1 | 4 | 0 | 2 | 3 | 4 | G | Miami |\n| Shabazz Napier | 31 | 16 | 2 | 4 | 5-10 | 50% | 4-6 | 67% | 2-2 | 100% | 1 | 0 | 0 | 0 | 2 | 2 | N/A | Miami |\n| Michael Beasley | 22 | 13 | 3 | 2 | 6-13 | 46% | 1-4 | 25% | 0-0 | 0% | 0 | 2 | 0 | 0 | 3 | 1 | N/A | Miami |\n| Tyler Johnson | 36 | 11 | 5 | 3 | 5-8 | 63% | 0-3 | 0% | 1-2 | 50% | 1 | 2 | 0 | 3 | 2 | 2 | G | Miami |\n| James Ennis III | 29 | 11 | 5 | 0 | 2-3 | 67% | 2-2 | 100% | 5-6 | 83% | 1 | 4 | 0 | 1 | 4 | 2 | N/A | Miami |\n| Hassan Whiteside | 20 | 10 | 2 | 0 | 5-8 | 63% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 2 | 1 | C | Miami |\n| Henry Walker | 33 | 8 | 4 | 0 | 3-12 | 25% | 2-9 | 22% | 0-0 | 0% | 0 | 1 | 0 | 0 | 4 | 4 | F | Miami |\n| Udonis Haslem | 27 | 6 | 5 | 1 | 3-9 | 33% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 1 | 4 | 2 | F | Miami |\n| Chris Andersen | 13 | 4 | 6 | 1 | 1-4 | 25% | 0-1 | 0% | 2-2 | 100% | 0 | 1 | 0 | 1 | 5 | 1 | N/A | Miami |\n| Mario Chalmers | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Dwyane Wade | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Luol Deng | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |" + } + ] + }, + { + "id": "table_recognition_train_item_113903", + "image": "table_instructV/images/Rotowire_train_table_1294.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 76ers | Philadelphia | 94 | 25 | 21 | 22 | 26 | 20 | 46 | 22 | 45 | 75 | 33 | 14 | 26 | | | | |\n| Raptors | Toronto | 89 | 21 | 23 | 21 | 24 | 17 | 43 | 9 | 40 | 65 | 25 | 28 | 14 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Joel Embiid | 27 | 26 | 9 | 2 | 6-13 | 46% | 2-5 | 40% | 12-14 | 86% | 1 | 4 | 2 | 0 | 9 | 5 | C | Philadelphia |\n| Ersan Ilyasova | 24 | 18 | 4 | 2 | 7-14 | 50% | 3-6 | 50% | 1-2 | 50% | 0 | 0 | 0 | 1 | 3 | 1 | F | Philadelphia |\n| Robert Covington | 36 | 10 | 5 | 2 | 4-6 | 67% | 1-2 | 50% | 1-2 | 50% | 2 | 5 | 1 | 0 | 5 | 2 | F | Philadelphia |\n| T.J. McConnell | 29 | 10 | 5 | 8 | 4-6 | 67% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 0 | 0 | 5 | 4 | G | Philadelphia |\n| Gerald Henderson | 26 | 9 | 2 | 0 | 2-3 | 67% | 1-1 | 100% | 4-5 | 80% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | Philadelphia |\n| Dario Saric | 24 | 8 | 9 | 1 | 3-9 | 33% | 1-3 | 33% | 1-2 | 50% | 0 | 3 | 2 | 2 | 7 | 1 | N/A | Philadelphia |\n| Nerlens Noel | 21 | 5 | 2 | 0 | 2-5 | 40% | 0-0 | 0% | 1-2 | 50% | 0 | 3 | 0 | 0 | 2 | 4 | N/A | Philadelphia |\n| Sergio Rodriguez | 19 | 4 | 7 | 4 | 2-5 | 40% | 0-3 | 0% | 0-1 | 0% | 0 | 3 | 0 | 1 | 6 | 0 | N/A | Philadelphia |\n| Timothe Luwawu-Cabarrot | 17 | 4 | 2 | 0 | 1-6 | 17% | 0-2 | 0% | 2-2 | 100% | 1 | 1 | 0 | 1 | 1 | 0 | N/A | Philadelphia |\n| Nik Stauskas | 16 | 0 | 1 | 1 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 2 | 0 | 1 | 3 | G | Philadelphia |\n| Chasson Randle | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Jahlil Okafor | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| DeMar DeRozan | 38 | 25 | 3 | 6 | 11-21 | 52% | 0-0 | 0% | 3-4 | 75% | 1 | 2 | 0 | 1 | 2 | 1 | G | Toronto |\n| Kyle Lowry | 40 | 24 | 4 | 4 | 5-13 | 39% | 3-8 | 38% | 11-16 | 69% | 5 | 5 | 0 | 3 | 1 | 6 | G | Toronto |\n| Jonas Valanciunas | 30 | 10 | 15 | 1 | 5-11 | 46% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 5 | 10 | 3 | C | Toronto |\n| Terrence Ross | 31 | 8 | 6 | 0 | 3-10 | 30% | 2-7 | 29% | 0-0 | 0% | 0 | 1 | 0 | 0 | 6 | 1 | N/A | Toronto |\n| Jared Sullinger | 14 | 8 | 3 | 0 | 4-10 | 40% | 0-2 | 0% | 0-1 | 0% | 0 | 0 | 0 | 1 | 2 | 3 | N/A | Toronto |\n| Norman Powell | 18 | 5 | 3 | 0 | 2-6 | 33% | 1-2 | 50% | 0-0 | 0% | 1 | 0 | 1 | 1 | 2 | 3 | N/A | Toronto |\n| Cory Joseph | 26 | 5 | 3 | 3 | 2-5 | 40% | 0-1 | 0% | 1-2 | 50% | 1 | 0 | 0 | 1 | 2 | 2 | N/A | Toronto |\n| Pascal Siakam | 11 | 2 | 1 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 0 | 1 | 0 | F | Toronto |\n| Fred VanVleet | 6 | 2 | 2 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Toronto |\n| DeMarre Carroll | 23 | 0 | 2 | 2 | 0-6 | 0% | 0-4 | 0% | 0-0 | 0% | 2 | 0 | 0 | 0 | 2 | 2 | F | Toronto |\n| Jakob Poeltl | 4 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Toronto |\n| Bruno Caboclo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Patrick Patterson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |" + } + ] + }, + { + "id": "table_recognition_train_item_31668", + "image": "table_instructV/images/TABMWP_9920.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| Location | Temperature (°F) |\n| --- | --- |\n| Death Valley | 134 |\n| Vostok Station | -128 |" + } + ] + }, + { + "id": "table_recognition_train_item_113069", + "image": "table_instructV/images/Rotowire_train_table_877.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Grizzlies | Memphis | 97 | 22 | 21 | 23 | 31 | 12 | 45 | 4 | 39 | 88 | 15 | 21 | 5 | | | | |\n| Bulls | Chicago | 103 | 20 | 31 | 22 | 30 | 17 | 51 | 9 | 44 | 88 | 39 | 17 | 9 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Grizzlies | | | | | | | | | | | | | | | | | | |\n| Mike Conley | 32 | 21 | 3 | 2 | 7-18 | 39% | 1-5 | 20% | 6-7 | 86% | 0 | 2 | 1 | 0 | 3 | 2 | G | Memphis |\n| Beno Udrih | 20 | 15 | 0 | 1 | 5-8 | 63% | 0-0 | 0% | 5-5 | 100% | 2 | 1 | 0 | 0 | 0 | 0 | N/A | Memphis |\n| Marc Gasol | 30 | 13 | 10 | 3 | 5-15 | 33% | 0-0 | 0% | 3-4 | 75% | 1 | 1 | 1 | 4 | 6 | 5 | C | Memphis |\n| Vince Carter | 22 | 10 | 2 | 0 | 4-9 | 44% | 0-2 | 0% | 2-2 | 100% | 0 | 0 | 0 | 1 | 1 | 3 | N/A | Memphis |\n| Tayshaun Prince | 24 | 8 | 1 | 0 | 3-8 | 38% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 1 | 1 | 0 | 1 | F | Memphis |\n| Zach Randolph | 22 | 8 | 12 | 1 | 4-11 | 36% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 5 | 7 | 2 | F | Memphis |\n| Courtney Lee | 30 | 7 | 2 | 2 | 3-9 | 33% | 1-3 | 33% | 0-0 | 0% | 1 | 0 | 0 | 0 | 2 | 0 | G | Memphis |\n| Jon Leuer | 21 | 6 | 4 | 2 | 3-5 | 60% | 0-1 | 0% | 0-1 | 0% | 0 | 0 | 0 | 0 | 4 | 6 | N/A | Memphis |\n| Kosta Koufos | 18 | 4 | 8 | 0 | 2-6 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 3 | 2 | 6 | 1 | N/A | Memphis |\n| Nick Calathes | 7 | 3 | 0 | 1 | 1-3 | 33% | 0-1 | 0% | 1-1 | 100% | 0 | 0 | 0 | 0 | 0 | 3 | N/A | Memphis |\n| Quincy Pondexter | 15 | 2 | 3 | 0 | 0-2 | 0% | 0-1 | 0% | 2-2 | 100% | 0 | 0 | 0 | 1 | 2 | 2 | N/A | Memphis |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Jimmy Butler | 43 | 31 | 10 | 1 | 11-21 | 52% | 0-2 | 0% | 9-9 | 100% | 2 | 0 | 0 | 3 | 7 | 2 | G | Chicago |\n| Nikola Mirotic | 30 | 27 | 8 | 1 | 7-10 | 70% | 6-6 | 100% | 7-8 | 88% | 0 | 1 | 1 | 0 | 8 | 0 | N/A | Chicago |\n| Aaron Brooks | 32 | 17 | 1 | 4 | 6-13 | 46% | 3-7 | 43% | 2-2 | 100% | 0 | 4 | 0 | 1 | 0 | 3 | N/A | Chicago |\n| Joakim Noah | 34 | 10 | 13 | 2 | 2-3 | 67% | 0-0 | 0% | 6-8 | 75% | 0 | 2 | 1 | 1 | 12 | 5 | C | Chicago |\n| Pau Gasol | 32 | 6 | 11 | 2 | 2-7 | 29% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 1 | 2 | 9 | 3 | F | Chicago |\n| Mike Dunleavy | 31 | 5 | 5 | 0 | 2-6 | 33% | 1-5 | 20% | 0-0 | 0% | 0 | 0 | 0 | 1 | 4 | 1 | F | Chicago |\n| Kirk Hinrich | 32 | 5 | 2 | 7 | 2-9 | 22% | 0-3 | 0% | 1-2 | 50% | 0 | 1 | 0 | 0 | 2 | 3 | G | Chicago |\n| E'Twaun Moore | 1 | 2 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Chicago |\n| Tony Snell | 6 | 0 | 1 | 0 | 0-4 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Chicago |\n| Cameron Bairstow | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Nazr Mohammed | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |" + } + ] + }, + { + "id": "table_recognition_train_item_115581", + "image": "table_instructV/images/Rotowire_train_table_2133.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Grizzlies | Memphis | 96 | 28 | 19 | 29 | 20 | 18 | 53 | 13 | 38 | 80 | 12 | 15 | 8 | | | | |\n| 76ers | Philadelphia | 91 | 20 | 23 | 34 | 14 | 21 | 45 | 16 | 39 | 50 | 34 | 4 | 18 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Grizzlies | | | | | | | | | | | | | | | | | | |\n| Marc Gasol | 34 | 26 | 12 | 3 | 9-17 | 53% | 0-2 | 0% | 8-10 | 80% | 1 | 4 | 2 | 1 | 11 | 3 | C | Memphis |\n| JaMychal Green | 35 | 13 | 10 | 3 | 2-7 | 29% | 0-0 | 0% | 9-10 | 90% | 2 | 3 | 1 | 3 | 7 | 4 | F | Memphis |\n| Zach Randolph | 22 | 12 | 14 | 1 | 5-16 | 31% | 0-0 | 0% | 2-4 | 50% | 0 | 0 | 0 | 6 | 8 | 0 | N/A | Memphis |\n| Wade Baldwin IV | 24 | 11 | 1 | 2 | 2-6 | 33% | 0-1 | 0% | 7-8 | 88% | 0 | 3 | 0 | 0 | 1 | 5 | N/A | Memphis |\n| Troy Daniels | 25 | 10 | 1 | 1 | 4-14 | 29% | 1-8 | 13% | 1-1 | 100% | 0 | 0 | 0 | 0 | 1 | 5 | N/A | Memphis |\n| Tony Allen | 27 | 9 | 4 | 2 | 4-7 | 57% | 0-0 | 0% | 1-2 | 50% | 2 | 2 | 0 | 0 | 4 | 2 | F | Memphis |\n| Troy Williams | 31 | 8 | 3 | 1 | 4-6 | 67% | 0-2 | 0% | 0-0 | 0% | 2 | 0 | 1 | 1 | 2 | 4 | G | Memphis |\n| Jarell Martin | 10 | 3 | 2 | 0 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Memphis |\n| Toney Douglas | 6 | 2 | 2 | 1 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | Memphis |\n| Andrew Harrison | 28 | 2 | 4 | 4 | 1-9 | 11% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 1 | 0 | 4 | 2 | G | Memphis |\n| Deyonta Davis | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| James Ennis III | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Vince Carter | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Ersan Ilyasova | 40 | 23 | 17 | 4 | 7-19 | 37% | 4-13 | 31% | 5-7 | 71% | 1 | 2 | 2 | 3 | 14 | 5 | F | Philadelphia |\n| Dario Saric | 25 | 17 | 7 | 0 | 6-12 | 50% | 3-6 | 50% | 2-3 | 67% | 1 | 2 | 0 | 2 | 5 | 4 | N/A | Philadelphia |\n| Nik Stauskas | 38 | 12 | 4 | 1 | 3-10 | 30% | 1-8 | 13% | 5-10 | 50% | 0 | 0 | 1 | 0 | 4 | 2 | F | Philadelphia |\n| Richaun Holmes | 34 | 10 | 6 | 2 | 5-13 | 39% | 0-2 | 0% | 0-1 | 0% | 1 | 2 | 3 | 3 | 3 | 4 | C | Philadelphia |\n| Hollis Thompson | 23 | 7 | 1 | 2 | 2-6 | 33% | 2-4 | 50% | 1-2 | 50% | 0 | 1 | 1 | 0 | 1 | 2 | N/A | Philadelphia |\n| Timothe Luwawu-Cabarrot | 16 | 7 | 2 | 0 | 3-6 | 50% | 1-2 | 50% | 0-2 | 0% | 0 | 2 | 0 | 0 | 2 | 4 | N/A | Philadelphia |\n| Gerald Henderson | 16 | 5 | 3 | 0 | 2-4 | 50% | 1-1 | 100% | 0-1 | 0% | 0 | 1 | 0 | 0 | 3 | 1 | G | Philadelphia |\n| TJ McConnell | 25 | 5 | 2 | 9 | 2-5 | 40% | 1-1 | 100% | 0-0 | 0% | 2 | 3 | 0 | 1 | 1 | 2 | N/A | Philadelphia |\n| Sergio Rodriguez | 23 | 5 | 3 | 3 | 2-7 | 29% | 1-4 | 25% | 0-0 | 0% | 0 | 3 | 0 | 0 | 3 | 3 | G | Philadelphia |\n| Jerryd Bayless | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Joel Embiid | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Robert Covington | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Jahlil Okafor | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |" + } + ] + }, + { + "id": "table_recognition_train_item_57632", + "image": "table_instructV/images/TabFact_2-1628792-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| year | champion | country | score | to par | tournament location |\n| --- | --- | --- | --- | --- | --- |\n| 1978 | joanne carner (2) | united states | 278 | 14 | st george 's golf and country club |\n| 1977 | judy rankin | united states | 212 | 4 | lachute golf club |\n| 1976 | donna caponi | united states | 212 | 4 po | cedar brae golf & country club |\n| 1975 | joanne carner | united states | 214 | 5 po | st george 's golf and country club |\n| 1974 | carole jo skala | united states | 208 | 11 | candiac golf club |\n| 1973 | jocelyne bourassa | canada | 214 | 5 po | montreal municipal golf club |" + } + ] + }, + { + "id": "table_recognition_train_item_54464", + "image": "table_instructV/images/TabFact_2-10650879-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| team | bowl | season coach | interim head coach | result | 2008 head coach |\n| --- | --- | --- | --- | --- | --- |\n| arkansas | cotton | houston nutt | reggie herring | lost | bobby petrino |\n| georgia tech | humanitarian | chan gailey | jon tenuta | lost | paul johnson |\n| houston | texas | art briles | chris thurmond | lost | kevin sumlin |\n| navy | poinsettia | paul johnson | ken niumatalolo | lost | same |\n| texas a&m | alamo | dennis franchione | gary darnell | lost | mike sherman |\n| ucla | las vegas | karl dorrell | dewayne walker | lost | rick neuheisel |\n| west virginia | fiesta | rich rodriguez | bill stewart | won | same |" + } + ] + }, + { + "id": "table_recognition_train_item_64810", + "image": "table_instructV/images/TabFact_2-17637370-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| nat | name | moving to | type | transfer window | transfer fee | source |\n| --- | --- | --- | --- | --- | --- | --- |\n| swe | allbäck | örgryte is | contract ended | summer | free | oisse |\n| dnk | silberbauer | utrecht | contract ended | summer | free | fc - utrechtnl |\n| dnk | qvist | lyngby boldklub | contract ended | summer | free | lyngby - boldklubdk |\n| dnk | gravgaard | nantes | transfer | summer | dkk 29000000 | fcnafr |\n| dnk | bertolt | sønderjyske | transfer | summer | dkk 1000000 | soenderjyskedk |\n| dnk | hansen | bk frem | contract ended | winter | free | bkfremdk |\n| dnk | laudrup | herfølge b | transfer | winter | undisclosed | hbdk |\n| dnk | würtz | vejle b | loan | winter | n / a | vejle - boldklubdk |\n| bra | júnior | nordsjælland | loan | winter | n / a | fcndk |\n| aus | coe | örgryte is | loan | winter | n / a | oisse |" + } + ] + }, + { + "id": "table_recognition_train_item_106055", + "image": "table_instructV/images/ToTTo_train_table_25425.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Year | Dates | Rounds | Field | Avg. Elo | Top score | Winners |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1971 | March 14–20 | 7 | 33 | 2190 | 6 | Larry Evans (United States) |\n| 1972 | March 12–18 | 7 | 35 | 2262 | 6 | Svetozar Gligorić (Yugoslavia) |\n| 1973 | March 18–24 | 7 | 48 | 2322 | 6 | Arthur Bisguier (United States) |\n| 1974 | March 24–30 | 7 | 53 | 2310 | 6 | Walter Browne (United States) |\n| 1975 | April 13–24 | 10 | 44 | 2428 | 7½ | Vladimir Liberzon (Israel) |\n| 1976 | March 7–13 | 7 | 57 | 2371 | 5½ | Tigran Petrosian (Soviet Union) |\n| 1977 | March 20–30 | 9 | 48 | 2410 | 6½ | Yuri Balashov (Soviet Union) Dragutin Sahović (Yugoslavia) Oscar Panno (Argentina) Nona Gaprindashvili (Soviet Union) |\n| 1978 | April 1–12 | 9 | 68 | 2431 | 7½ | Bent Larsen (Denmark) |\n| 1979 | March 25–April 4 | 9 | 73 | 2444 | 6½ | Svetozar Gligorić (Yugoslavia) Florin Gheorghiu (Romania) Vladimir Liberzon (Israel) Vlastimil Hort (Czechoslovakia) |\n| 1980 | March 16–26 | 9 | 43 | 2487 | 7 | Roman Dzindzichashvili (Israel) |\n| 1981 | March 29–April 8 | 9 | 61 | | 7 | Viktor Korchnoi (Switzerland) |" + } + ] + }, + { + "id": "table_recognition_train_item_54756", + "image": "table_instructV/images/TabFact_1-1639689-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| week | date | kickoff | opponent | final score | team record | game site | attendance |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | saturday , march 23 | 4:00 pm | sacramento surge | l 3 - 9 | 0 - 1 | hughes stadium | 15126 |\n| 2 | saturday , march 30 | 8:00 pm | orlando thunder | l 20 - 58 | 0 - 2 | florida citrus bowl | 20811 |\n| 3 | saturday , april 6 | 8:00 pm | barcelona dragons | l 14 - 26 | 0 - 3 | carter - finley stadium | 17900 |\n| 4 | monday , april 15 | 8:00 pm | san antonio riders | l 15 - 37 | 0 - 4 | carter - finley stadium | 11818 |\n| 5 | saturday , april 20 | 8:00 pm | frankfurt galaxy | l 28 - 30 | 0 - 5 | waldstadion | 21065 |\n| 6 | sunday , april 28 | 6:00 pm | london monarchs | l 10 - 35 | 0 - 6 | wembley stadium | 33997 |\n| 7 | sunday , may 5 | 1:00 pm | new york / new jersey knights | l 6 - 42 | 0 - 7 | carter - finley stadium | 10069 |\n| 8 | monday , may 13 | 8:00 pm | montreal machine | l 6 - 15 | 0 - 8 | olympic stadium | 20123 |\n| 9 | monday , may 20 | 8:00 pm | orlando thunder | l 14 - 20 | 0 - 9 | carter - finley stadium | 4207 |" + } + ] + }, + { + "id": "table_recognition_train_item_30841", + "image": "table_instructV/images/TABMWP_1075.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Date | Description | Received | Expenses | Available Funds |\n| --- | --- | --- | --- | --- |\n| | Balance: end of November | | | $328.20 |\n| 12/5 | wrapping paper | | $4.95 | $323.25 |\n| 12/16 | watching Ms. Durham's cat | $15.00 | | $338.25 |\n| 12/29 | calendar | | $7.80 | $330.45 |" + } + ] + }, + { + "id": "table_recognition_train_item_116249", + "image": "table_instructV/images/Rotowire_train_table_2467.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nets | Brooklyn | 92 | 16 | 33 | 17 | 26 | 18 | 45 | 19 | 40 | 64 | 32 | 4 | 10 | | | | |\n| Celtics | Boston | 111 | 30 | 21 | 28 | 32 | 26 | 51 | 13 | 46 | 75 | 40 | 9 | 6 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Nets | | | | | | | | | | | | | | | | | | |\n| Sean Kilpatrick | 32 | 23 | 2 | 3 | 8-17 | 47% | 1-4 | 25% | 6-8 | 75% | 0 | 3 | 3 | 0 | 2 | 1 | N/A | Brooklyn |\n| Trevor Booker | 33 | 18 | 12 | 3 | 8-13 | 62% | 1-2 | 50% | 1-2 | 50% | 4 | 3 | 0 | 5 | 7 | 3 | F | Brooklyn |\n| Bojan Bogdanovic | 28 | 14 | 8 | 2 | 6-12 | 50% | 2-7 | 29% | 0-0 | 0% | 0 | 2 | 0 | 0 | 8 | 0 | G | Brooklyn |\n| Brook Lopez | 28 | 13 | 3 | 2 | 4-14 | 29% | 1-6 | 17% | 4-5 | 80% | 2 | 0 | 1 | 1 | 2 | 1 | C | Brooklyn |\n| Joe Harris | 25 | 12 | 3 | 0 | 4-7 | 57% | 4-6 | 67% | 0-0 | 0% | 0 | 3 | 0 | 0 | 3 | 2 | N/A | Brooklyn |\n| Rondae Hollis-Jefferson | 15 | 4 | 4 | 2 | 1-4 | 25% | 1-2 | 50% | 1-4 | 25% | 0 | 0 | 1 | 1 | 3 | 2 | F | Brooklyn |\n| Isaiah Whitehead | 24 | 4 | 4 | 3 | 2-8 | 25% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 1 | 0 | 4 | 2 | G | Brooklyn |\n| Randy Foye | 12 | 2 | 2 | 2 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 1 | N/A | Brooklyn |\n| Justin Hamilton | 19 | 2 | 0 | 0 | 0-2 | 0% | 0-1 | 0% | 2-3 | 67% | 0 | 0 | 1 | 0 | 0 | 0 | N/A | Brooklyn |\n| Chris McCullough | 2 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Brooklyn |\n| Anthony Bennett | 2 | 0 | 1 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Brooklyn |\n| Yogi Ferrell | 8 | 0 | 1 | 0 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Brooklyn |\n| Luis Scola | 12 | 0 | 4 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 3 | 0 | 2 | 2 | 0 | N/A | Brooklyn |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Isaiah Thomas | 32 | 23 | 1 | 5 | 8-21 | 38% | 5-9 | 56% | 2-2 | 100% | 0 | 2 | 1 | 0 | 1 | 1 | G | Boston |\n| Avery Bradley | 34 | 22 | 7 | 1 | 10-22 | 46% | 1-7 | 14% | 1-2 | 50% | 5 | 2 | 0 | 1 | 6 | 3 | G | Boston |\n| Al Horford | 30 | 17 | 5 | 8 | 7-12 | 58% | 3-4 | 75% | 0-0 | 0% | 1 | 2 | 2 | 1 | 4 | 2 | C | Boston |\n| Jae Crowder | 22 | 15 | 5 | 1 | 6-11 | 55% | 3-7 | 43% | 0-1 | 0% | 0 | 0 | 0 | 1 | 4 | 2 | F | Boston |\n| Kelly Olynyk | 19 | 10 | 2 | 1 | 3-9 | 33% | 2-5 | 40% | 2-2 | 100% | 2 | 1 | 0 | 1 | 1 | 4 | N/A | Boston |\n| Jonas Jerebko | 17 | 10 | 1 | 0 | 4-4 | 100% | 1-1 | 100% | 1-1 | 100% | 1 | 1 | 0 | 1 | 0 | 2 | N/A | Boston |\n| Terry Rozier | 23 | 6 | 6 | 1 | 3-4 | 75% | 0-1 | 0% | 0-0 | 0% | 2 | 1 | 0 | 1 | 5 | 2 | N/A | Boston |\n| Marcus Smart | 31 | 4 | 8 | 8 | 2-10 | 20% | 0-4 | 0% | 0-0 | 0% | 2 | 1 | 1 | 2 | 6 | 2 | N/A | Boston |\n| Amir Johnson | 19 | 2 | 9 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 2 | 7 | 2 | F | Boston |\n| Tyler Zeller | 8 | 2 | 4 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 2 | 1 | 3 | 1 | N/A | Boston |\n| Jaylen Brown | 4 | 0 | 3 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 2 | 1 | N/A | Boston |\n| James Young | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Boston |\n| Gerald Green | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |" + } + ] + }, + { + "id": "table_recognition_train_item_69714", + "image": "table_instructV/images/TabFact_2-10812938-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| pick | cfl team | player | position | college |\n| --- | --- | --- | --- | --- |\n| 1 | edmonton eskimos (via hamilton ) | adam braidwood | de | washington state |\n| 2 | bc lions (via winnipeg ) | jay pottinger | lb | mcmaster |\n| 3 | saskatchewan roughriders | andrew fantuz | sb | western ontario |\n| 4 | bc lions (via calgary ) | ricky foley | lb | york |\n| 5 | toronto argonauts | daniel federkeil | dl | calgary |\n| 6 | bc lions | dean valli | ol | simon fraser |\n| 7 | montreal alouettes | eric deslauriers | wr | eastern michigan |\n| 8 | hamilton tiger - cats (via edmonton) | cedric gagne - marcoux | ol | central florida |" + } + ] + }, + { + "id": "table_recognition_train_item_31638", + "image": "table_instructV/images/TABMWP_9588.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Location | Elevation (m) |\n| --- | --- |\n| Top of the skyscraper | 275 |\n| Bottom of the mine | -260 |" + } + ] + }, + { + "id": "table_recognition_train_item_68188", + "image": "table_instructV/images/TabFact_2-17100961-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| round | pick | overall | name | position | college |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 9 | 9 | andy farkas | rb | detroit mercy |\n| 3 | 9 | 24 | sam chapman | rb | california |\n| 5 | 9 | 39 | dave price | c | mississippi state |\n| 6 | 9 | 49 | elmer dohrmann | e | nebraska |\n| 7 | 9 | 59 | roy young | g | texas a&m |\n| 8 | 9 | 69 | bill hartman | rb | georgia |\n| 9 | 9 | 79 | ed parks | c | oklahoma |\n| 10 | 9 | 89 | jack abbitt | rb | elon |\n| 11 | 9 | 99 | dick johnson | e | washington |\n| 12 | 9 | 109 | hank bartos | g | north carolina |" + } + ] + }, + { + "id": "table_recognition_train_item_57204", + "image": "table_instructV/images/TabFact_1-15838081-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| season | series | title | director (s) | writer (s) | original airdate |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 45 | fairy tale , ending | karl zwicky | chris mccourt | 12 february 2003 |\n| 2 | 46 | better the devil you know | karl zwicky | vicki madden | 19 february 2003 |\n| 3 | 47 | the road home | bill hughes | ciula sandler | 26 february 2003 |\n| 4 | 48 | an affair to forget | bill hughes | christina milligan | 5 march 2003 |\n| 5 | 49 | put to the test | richard jasek | alexa wyatt | 12 march 2003 |\n| 6 | 50 | the wedding | richard jasek | jeff trauman | 19 march 2003 |\n| 7 | 51 | gone to the dogs | cath roden | ysabelle dean | 2 april 2003 |\n| 8 | 52 | the ghost of things to come | cath roden | denise morgan | 9 april 2003 |\n| 9 | 53 | house of cards | karl zwicky | chris mccourt | 23 april 2003 |\n| 10 | 54 | three little words | karl zwicky | dave warner | 30 april 2003 |\n| 11 | 55 | repeat offenders | bill hughes | chris hawkshaw | 7 may 2003 |\n| 12 | 56 | sins of the father | bill hughes | shane brennan | 14 may 2003 |\n| 13 | 57 | jokers to the right | cath roden | margaret kelly | 21 may 2003 |\n| 14 | 58 | chain reaction | cath roden | jeff truman | 28 may 2003 |\n| 15 | 59 | the awful truth | chris martin - jones | chris mccourt | 4 june 2003 |\n| 16 | 60 | seeing the light | chris martin - jones | ysabelle dean | 23 july 2003 |\n| 17 | 61 | a slight interruption | karl zwicky | elizabeth packett | 30 july 2003 |\n| 18 | 62 | old beginnings | karl zwicky | denise morgan | 6 august 2003 |\n| 19 | 63 | where there 's smoke | ali ali | chris hawkshaw | 13 august 2003 |\n| 20 | 64 | perfect match | ali ali | jutta goetze & giula sandler | 20 august 2003 |\n| 21 | 65 | let the best man win | chris martin - jones | chris pearce & alexa wyatt | 27 august 2003 |\n| 22 | 66 | majority rules | chris martin - jones | chris hawkshaw | 3 september 2003 |\n| 23 | 67 | the ties that blind | karl zwicky | dave warner | 10 september 2003 |\n| 24 | 68 | one step at a time | karl zwicky | chris mccourt | 17 september 2003 |\n| 25 | 69 | time frames | ali ali | kathriene thomson | 24 september 2003 |\n| 26 | 70 | body language | ali ali | giula sandler | 1 october 2003 |\n| 27 | 71 | to catch a thief | chris matin - jones | christina milligan | 8 october 2003 |\n| 28 | 72 | my noon , my midnight | chris martin - jones | chris hawkshaw | 15 october 2003 |\n| 29 | 73 | the long goodbye | karl zwicky | denise morgan | 22 october 2003 |" + } + ] + }, + { + "id": "table_recognition_train_item_33886", + "image": "table_instructV/images/TABMWP_33710.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Number of fish bowls | Number of fish |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_111921", + "image": "table_instructV/images/Rotowire_train_table_303.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hawks | Atlanta | 114 | 29 | 28 | 24 | 33 | 28 | 52 | 21 | 50 | 78 | 46 | 1 | 0 | | | | |\n| Wizards | Washington | 99 | 27 | 29 | 24 | 19 | 25 | 40 | 19 | 43 | 72 | 30 | 0 | 1 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hawks | | | | | | | | | | | | | | | | | | |\n| Paul Millsap | 31 | 28 | 7 | 6 | 11-20 | 55% | 3-6 | 50% | 3-4 | 75% | 0 | 2 | 1 | 2 | 5 | 0 | F | Atlanta |\n| Tim Hardaway Jr. | 23 | 21 | 2 | 1 | 8-13 | 62% | 3-5 | 60% | 2-2 | 100% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | Atlanta |\n| Dennis Schroder | 25 | 14 | 2 | 2 | 6-12 | 50% | 2-4 | 50% | 0-0 | 0% | 1 | 4 | 0 | 0 | 2 | 3 | G | Atlanta |\n| Thabo Sefolosha | 22 | 13 | 7 | 5 | 6-8 | 75% | 1-1 | 100% | 0-2 | 0% | 5 | 1 | 0 | 3 | 4 | 2 | N/A | Atlanta |\n| Dwight Howard | 30 | 11 | 19 | 2 | 4-9 | 44% | 0-0 | 0% | 3-4 | 75% | 1 | 3 | 3 | 7 | 12 | 2 | C | Atlanta |\n| Mike Muscala | 26 | 9 | 4 | 1 | 3-6 | 50% | 1-2 | 50% | 2-2 | 100% | 2 | 0 | 3 | 1 | 3 | 2 | N/A | Atlanta |\n| Kent Bazemore | 26 | 7 | 3 | 1 | 1-7 | 14% | 1-4 | 25% | 4-4 | 100% | 1 | 4 | 0 | 0 | 3 | 4 | F | Atlanta |\n| Kyle Korver | 22 | 5 | 3 | 4 | 2-4 | 50% | 1-3 | 33% | 0-0 | 0% | 1 | 2 | 0 | 0 | 3 | 3 | G | Atlanta |\n| Malcolm Delaney | 20 | 4 | 1 | 5 | 2-7 | 29% | 0-1 | 0% | 0-0 | 0% | 1 | 3 | 0 | 0 | 1 | 2 | N/A | Atlanta |\n| DeAndre' Bembry | 2 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Atlanta |\n| Kris Humphries | 9 | 0 | 3 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 0 | N/A | Atlanta |\n| Taurean Prince | 4 | 0 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 0 | 1 | N/A | Atlanta |\n| Edy Tavares | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| Markieff Morris | 28 | 22 | 4 | 2 | 9-18 | 50% | 2-3 | 67% | 2-2 | 100% | 2 | 0 | 1 | 1 | 3 | 2 | F | Washington |\n| Bradley Beal | 24 | 13 | 0 | 4 | 6-12 | 50% | 0-2 | 0% | 1-1 | 100% | 0 | 3 | 0 | 0 | 0 | 4 | G | Washington |\n| John Wall | 30 | 12 | 3 | 10 | 3-15 | 20% | 0-2 | 0% | 6-7 | 86% | 4 | 5 | 1 | 2 | 1 | 2 | G | Washington |\n| Otto Porter Jr. | 26 | 10 | 6 | 1 | 5-7 | 71% | 0-0 | 0% | 0-1 | 0% | 2 | 0 | 0 | 2 | 4 | 2 | F | Washington |\n| Andrew Nicholson | 19 | 9 | 7 | 0 | 3-6 | 50% | 1-2 | 50% | 2-2 | 100% | 1 | 1 | 1 | 2 | 5 | 1 | N/A | Washington |\n| Trey Burke | 18 | 8 | 0 | 2 | 4-7 | 57% | 0-2 | 0% | 0-1 | 0% | 1 | 2 | 0 | 0 | 0 | 0 | N/A | Washington |\n| Sheldon McClellan | 4 | 7 | 0 | 0 | 3-4 | 75% | 1-2 | 50% | 0-0 | 0% | 2 | 0 | 0 | 0 | 0 | 0 | N/A | Washington |\n| Kelly Oubre Jr. | 22 | 5 | 1 | 1 | 1-6 | 17% | 1-4 | 25% | 2-4 | 50% | 1 | 0 | 0 | 0 | 1 | 1 | N/A | Washington |\n| Marcus Thornton | 20 | 5 | 1 | 1 | 2-8 | 25% | 1-3 | 33% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 2 | N/A | Washington |\n| Marcin Gortat | 32 | 4 | 11 | 1 | 2-6 | 33% | 0-0 | 0% | 0-0 | 0% | 1 | 3 | 1 | 3 | 8 | 4 | C | Washington |\n| Jason Smith | 9 | 2 | 5 | 2 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 4 | 0 | 1 | 4 | 2 | N/A | Washington |\n| Tomas Satoransky | 4 | 2 | 1 | 1 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | Washington |\n| Daniel Ochefu | 4 | 0 | 1 | 0 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Washington |" + } + ] + }, + { + "id": "table_recognition_train_item_64920", + "image": "table_instructV/images/TabFact_2-10750694-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| home team | home team score | away team | away team score | venue | crowd | date |\n| --- | --- | --- | --- | --- | --- | --- |\n| richmond | 5.6 (36) | collingwood | 10.12 (72) | scg | 24174 | 14 june 1952 |\n| fitzroy | 13.12 (90) | melbourne | 10.10 (70) | north hobart oval | 18387 | 14 june 1952 |\n| south melbourne | 18.10 (118) | north melbourne | 14.12 (96) | albury sports ground | 15000 | 14 june 1952 |\n| footscray | 5.4 (34) | st kilda | 7.7 (49) | yallourn oval | 3500 | 14 june 1952 |\n| carlton | 17.15 (117) | hawthorn | 11.14 (80) | euroa oval | 7500 | 14 june 1952 |\n| geelong | 12.14 (86) | essendon | 23.17 (155) | brisbane exhibition ground | 28000 | 16 june 1952 |" + } + ] + }, + { + "id": "table_recognition_train_item_34153", + "image": "table_instructV/images/TABMWP_36434.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Number of packages | Number of yellow highlighters |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_52404", + "image": "table_instructV/images/TabFact_1-19266557-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| - | - | title | directed by | written by | original air date | production code | us viewers (millions) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 442 | 1 | homer the whopper | lance kramer | seth rogen & evan goldberg | september 27 , 2009 | labf13 | 8.31 |\n| 443 | 2 | bart gets a 'z' | mark kirkland | matt selman | october 4 , 2009 | labf15 | 9.32 |\n| 444 | 3 | the great wife hope | matthew faughnan | carolyn omine | october 11 , 2009 | labf16 | 7.5 |\n| 446 | 5 | the devil wears nada | nancy kruse | tim long | november 15 , 2009 | labf17 | 9.04 |\n| 447 | 6 | pranks and greens | chuck sheetz | jeff westbrook | november 22 , 2009 | labf18 | 7.03 |\n| 448 | 7 | rednecks and broomsticks | bob anderson & rob oliver | kevin curran | november 29 , 2009 | labf19 | 9.02 |\n| 449 | 8 | o brother , where bart thou | steven dean moore | matt selman | december 13 , 2009 | mabf01 | 7.11 |\n| 450 | 9 | thursdays with abie | michael polcino | don payne & mitchell h glazer | january 3 , 2010 | mabf02 | 8.65 |\n| 451 | 10 | once upon a time in springfield | matthew nastuk | stephanie gillis | january 10 , 2010 | labf20 | 21.01 |\n| 452 | 11 | million dollar maybe | chris clements | bill odenkirk | january 31 , 2010 | mabf03 | 5.11 |\n| 453 | 12 | boy meets curl | chuck sheetz | rob lazebnik | february 14 , 2010 | mabf05 | 5.87 |\n| 454 | 13 | the color yellow | raymond s persi | billy kimball & ian maxtone - graham | february 21 , 2010 | mabf06 | 6.08 |\n| 455 | 14 | postcards from the wedge | mark kirkland | brian kelley | march 14 , 2010 | mabf04 | 5.23 |\n| 456 | 15 | stealing first base | steven dean moore | john frink | march 21 , 2010 | mabf07 | 5.69 |\n| 457 | 16 | the greatest story ever d'ohed | michael polcino | kevin curran | march 28 , 2010 | mabf10 | 5.69 |\n| 458 | 17 | american history x - cellent | bob anderson | michael price | april 11 , 2010 | mabf08 | 5.65 |\n| 459 | 18 | chief of hearts | chris clements | carolyn omine & william wright | april 18 , 2010 | mabf09 | 5.93 |\n| 460 | 19 | the squirt and the whale | mark kirkland | matt warburton | april 25 , 2010 | mabf14 | 5.94 |\n| 461 | 20 | to surveil with love | lance kramer | michael nobori | may 2 , 2010 | mabf12 | 6.06 |\n| 462 | 21 | moe letter blues | matthew nastuk | stephanie gillis | may 9 , 2010 | mabf13 | 5.66 |\n| 463 | 22 | the bob next door | nancy kruse | john frink | may 16 , 2010 | mabf11 | 6.26 |" + } + ] + }, + { + "id": "table_recognition_train_item_64906", + "image": "table_instructV/images/TabFact_1-23284271-11.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | series |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | april 18 | san antonio | w 100 - 94 (ot) | dirk nowitzki (36) | erick dampier (12) | jason kidd (11) | american airlines center 20372 | 1 - 0 |\n| 2 | april 21 | san antonio | l 88 - 102 (ot) | jason terry (27) | dirk nowitzki (10) | jason kidd (8) | american airlines center 20728 | 1 - 1 |\n| 3 | april 23 | san antonio | l 90 - 94 (ot) | dirk nowitzki (35) | dirk nowitzki , jason kidd (7) | jason kidd (5) | at&t center 18581 | 1 - 2 |\n| 4 | april 25 | san antonio | l 89 - 92 (ot) | dirk nowitzki , caron butler (17) | dirk nowitzki (11) | jason kidd (5) | at&t center 18581 | 1 - 3 |\n| 5 | april 27 | san antonio | w 103 - 81 (ot) | caron butler (35) | caron butler (11) | jason kidd (7) | american airlines center 20557 | 2 - 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_50724", + "image": "table_instructV/images/TAT-QA_f797f826-798e-47e5-b9e2-97429e9d462d.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| | Business | Consumer | Total |\n| --- | --- | --- | --- |\n| | | (Dollars in millions) | |\n| As of December 31, 2017(1) | $20,197 | 10,278 | 30,475 |\n| Purchase accounting and other adjustments(2)(3) | 250 | 32 | 282 |\n| Impairment | — | (2,726) | (2,726) |\n| As of December 31, 2018 | $20,447 | 7,584 | 28,031 |" + } + ] + }, + { + "id": "table_recognition_train_item_33470", + "image": "table_instructV/images/TABMWP_29669.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 8 | 0 |\n| 9 | 3 |\n| 10 | 7 |" + } + ] + }, + { + "id": "table_recognition_train_item_65386", + "image": "table_instructV/images/TabFact_2-18432824-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| name | diameter (km) | perihelion (au) | aphelion (au) | year discovered | discoverer (s) | type |\n| --- | --- | --- | --- | --- | --- | --- |\n| sedna | 995 - 1600 | 76.1 | 975.5 | 2003 | brown , trujillo , rabinowitz | detached (arxivorg) |\n| 2004 xr190 | 335 - 850 | 52.3 | 61.8 | 2004 | lynne jones et al | detached |\n| 2004 vn112 | 130 - 300 | 47.3 | 614 | 2004 | ctio | detached |\n| 2005 tb 190 | ~500 | 46.2 | 106.5 | 2005 | becker , a c et al | detached |\n| 2000 cr 105 | ~250 | 44.3 | 397 | 2000 | lowell observatory | detached |\n| 2003 uy291 | ~150 | 41.2 | 57.1 | 2003 | pittichova , j et al | classical |\n| 2000 yw 134 | ~500 | 41.0 | 73.9 | 2000 | spacewatch | 8:3 |\n| 1995 tl 8 | ~350 | 40.0 | 64.5 | 1995 | a gleason | detached |\n| 2010 kz39 | 440 - 980 | 39.1 | 52.5 | 2010 | a udalski et al | detached or classical |\n| 2003 qk91 | ~180 | 38.4 | 98.5 | 2003 | elliot , j et al | detached |\n| 2003 fz129 | ~150 | 38.0 | 85.6 | 2003 | mauna kea | detached |\n| 2005 pq 21 | ~200 | 37.6 | 87.6 | 2005 | cerro tololo | detached |\n| 2006 qh181 | ~765 | 37.6 | 97.0 | 2006 | ctio | detached or 5:1 |\n| 2003 fy 128 | ~440 | 37.0 | 61.7 | 2003 | neat | detached |\n| 2006 hx122 | ~290 | 36.4 | 102.6 | 2006 | m w buie | detached or 7:2 |" + } + ] + }, + { + "id": "table_recognition_train_item_33426", + "image": "table_instructV/images/TABMWP_29190.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 8 | 13 |\n| 9 | 16 |\n| 10 | 19 |" + } + ] + }, + { + "id": "table_recognition_train_item_67680", + "image": "table_instructV/images/TabFact_2-18792945-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| title | series | director | release date | reissue |\n| --- | --- | --- | --- | --- |\n| coal black and de sebben dwarfs | mm | bob clampett | 1943 - 01 - 16 | no |\n| confusions of a nutzy spy | lt | norm mccabe | 1943 - 01 - 23 | no |\n| pigs in a polka | mm | friz freleng | 1943 - 02 - 02 | yes |\n| tortoise wins by a hare | mm | bob clampett | 1943 - 02 - 20 | no |\n| fifth - column mouse , the | mm | friz freleng | 1943 - 03 - 06 | yes |\n| to duck or not to duck | lt | chuck jones | 1943 - 03 - 06 | no |\n| flop goes the weasel | mm | chuck jones | 1943 - 03 - 20 | yes |\n| hop and go | lt | norm mccabe | 1943 - 03 - 27 | no |\n| super - rabbit | mm | chuck jones | 1943 - 04 - 03 | no |\n| unbearable bear , the | mm | chuck jones | 1943 - 04 - 17 | yes |\n| wise quacking duck , the | lt | bob clampett | 1943 - 05 - 01 | no |\n| greetings bait | mm | friz freleng | 1943 - 05 - 15 | yes |\n| tokio jokio | lt | norm mccabe | 1943 - 05 - 15 | no |\n| jack - wabbit and the beanstalk | mm | friz freleng | 1943 - 06 - 12 | no |\n| aristo cat , the | mm | chuck jones | 1943 - 06 - 19 | yes |\n| wackiki wabbit | mm | chuck jones | 1943 - 07 - 03 | no |\n| yankee doodle daffy | lt | friz freleng | 1943 - 07 - 03 | no |\n| porky pig 's feat | lt | frank tashlin | 1943 - 07 - 17 | no |\n| tin pan alley cats | mm | bob clampett | 1943 - 07 - 17 | no |\n| scrap happy daffy | lt | frank tashlin | 1943 - 08 - 21 | no |\n| hiss and make up | mm | friz freleng | 1943 - 09 - 11 | yes |\n| corny concerto , a | mm | bob clampett | 1943 - 09 - 25 | no |\n| fin'n catty | mm | chuck jones | 1943 - 10 - 23 | yes |\n| falling hare | mm | bob clampett | 1943 - 10 - 30 | no |\n| inki and the minah bird | mm | chuck jones | 1943 - 11 - 13 | yes |\n| daffy - the commando | lt | friz freleng | 1943 - 11 - 20 | no |\n| itch in time , an | mm | bob clampett | 1943 - 12 - 04 | yes |\n| puss n' booty | lt | frank tashlin | 1943 - 12 - 11 | no |" + } + ] + }, + { + "id": "table_recognition_train_item_115241", + "image": "table_instructV/images/Rotowire_train_table_1963.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nuggets | Denver | 91 | 22 | 12 | 27 | 30 | 20 | 45 | 21 | 41 | 71 | 50 | 10 | 14 | | | | |\n| Spurs | San Antonio | 99 | 20 | 25 | 26 | 28 | 26 | 43 | 13 | 46 | 74 | 31 | 17 | 7 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Nuggets | | | | | | | | | | | | | | | | | | |\n| Arron Afflalo | 40 | 31 | 5 | 1 | 12-20 | 60% | 4-6 | 67% | 3-3 | 100% | 0 | 6 | 0 | 1 | 4 | 4 | G | Denver |\n| Wilson Chandler | 36 | 14 | 3 | 3 | 6-10 | 60% | 2-2 | 100% | 0-0 | 0% | 1 | 1 | 0 | 1 | 2 | 5 | F | Denver |\n| Timofey Mozgov | 24 | 11 | 13 | 0 | 4-12 | 33% | 0-0 | 0% | 3-4 | 75% | 0 | 0 | 2 | 5 | 8 | 0 | C | Denver |\n| Jusuf Nurkic | 18 | 10 | 8 | 1 | 3-7 | 43% | 0-0 | 0% | 4-5 | 80% | 1 | 3 | 1 | 3 | 5 | 4 | N/A | Denver |\n| Darrell Arthur | 21 | 8 | 4 | 1 | 3-7 | 43% | 2-2 | 100% | 0-0 | 0% | 3 | 0 | 0 | 0 | 4 | 3 | N/A | Denver |\n| Ty Lawson | 39 | 6 | 2 | 10 | 2-10 | 20% | 0-1 | 0% | 2-4 | 50% | 1 | 4 | 0 | 0 | 2 | 3 | G | Denver |\n| Alonzo Gee | 17 | 5 | 2 | 1 | 2-6 | 33% | 0-0 | 0% | 1-2 | 50% | 1 | 3 | 0 | 2 | 0 | 5 | N/A | Denver |\n| JJ Hickson | 16 | 4 | 6 | 0 | 1-2 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 1 | 2 | 4 | 1 | F | Denver |\n| Nate Robinson | 15 | 2 | 2 | 2 | 1-7 | 14% | 0-4 | 0% | 0-1 | 0% | 0 | 1 | 0 | 1 | 1 | 3 | N/A | Denver |\n| Gary Harris | 14 | 0 | 0 | 1 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 3 | 2 | 0 | 0 | 0 | 1 | N/A | Denver |\n| Danilo Gallinari | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Erick Green | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Kenneth Faried | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Kawhi Leonard | 37 | 18 | 8 | 4 | 6-14 | 43% | 0-2 | 0% | 6-6 | 100% | 5 | 1 | 6 | 2 | 6 | 3 | F | San Antonio |\n| Tim Duncan | 32 | 15 | 9 | 4 | 5-14 | 36% | 0-0 | 0% | 5-6 | 83% | 1 | 2 | 3 | 3 | 6 | 2 | F | San Antonio |\n| Manu Ginobili | 24 | 15 | 1 | 6 | 4-9 | 44% | 1-3 | 33% | 6-7 | 86% | 0 | 4 | 0 | 1 | 0 | 3 | N/A | San Antonio |\n| Cory Joseph | 32 | 13 | 2 | 3 | 6-7 | 86% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 1 | 1 | 1 | 3 | G | San Antonio |\n| Tiago Splitter | 20 | 11 | 6 | 3 | 5-7 | 71% | 0-0 | 0% | 1-4 | 25% | 0 | 1 | 1 | 2 | 4 | 2 | C | San Antonio |\n| Marco Belinelli | 22 | 10 | 4 | 0 | 2-6 | 33% | 1-2 | 50% | 5-8 | 63% | 0 | 0 | 0 | 1 | 3 | 1 | N/A | San Antonio |\n| Aron Baynes | 8 | 6 | 2 | 0 | 3-4 | 75% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | San Antonio |\n| Danny Green | 35 | 5 | 6 | 3 | 2-7 | 29% | 1-4 | 25% | 0-0 | 0% | 2 | 2 | 0 | 0 | 6 | 2 | G | San Antonio |\n| Boris Diaw | 15 | 3 | 4 | 2 | 0-2 | 0% | 0-2 | 0% | 3-4 | 75% | 1 | 2 | 0 | 1 | 3 | 0 | N/A | San Antonio |\n| Matt Bonner | 13 | 3 | 1 | 1 | 1-3 | 33% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 3 | N/A | San Antonio |\n| Austin Daye | 1 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | San Antonio |\n| Kyle Anderson | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | San Antonio |\n| Jeff Ayres | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |" + } + ] + }, + { + "id": "table_recognition_train_item_106680", + "image": "table_instructV/images/ToTTo_train_table_28096.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Category | Player(s) | Value |\n| --- | --- | --- |\n| Passing Yards | Tommy Kramer | 3,912 |\n| Passing Touchdowns | Tommy Kramer | 26 |\n| Rushing Yards | Ted Brown | 1,063 |\n| Rushing Touchdowns | Ted Brown | 6 |\n| Receiving Yards | Joe Senser | 1,004 |\n| Receiving Touchdowns | Joe Senser | 8 |\n| Points | Rick Danmeier | 97 |\n| Kickoff Return Yards | Eddie Payton | 898 |\n| Punt Return Yards | Eddie Payton | 303 |\n| Tackles | Scott Studwell | 230 |\n| Interceptions | Tom Hannon Willie Teal | 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_69838", + "image": "table_instructV/images/TabFact_2-17408152-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| res | record | opponent | round | time | location |\n| --- | --- | --- | --- | --- | --- |\n| no contest | 3 - 5 - 0 - 1 | kelly rundle | 1 | n / a | alabama , united states |\n| loss | 3 - 5 - 0 | dan severn | 1 | n / a | alabama , united states |\n| win | 3 - 4 - 0 | chuck costello | 1 | 2:14 | loveland , colorado , united states |\n| loss | 2 - 4 - 0 | anthony barbier | 1 | 1:25 | runica , mississippi , united states |\n| loss | 2 - 3 - 0 | graeme hussey | 1 | n / a | eldon square , england |\n| win | 2 - 2 - 0 | james wakefield | 1 | n / a | birmingham , alabama , united states |\n| win | 1 - 2 - 0 | james wakefield | 1 | n / a | alabama , united states |\n| loss | 0 - 2 - 0 | bob ostovich | 1 | 2:10 | alabama , united states |\n| loss | 0 - 1 - 0 | michael buchkovich | 1 | 1:46 | savannah , georgia , united states |" + } + ] + }, + { + "id": "table_recognition_train_item_68538", + "image": "table_instructV/images/TabFact_2-11097664-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| ngc number | object type | constellation | right ascension ( j2000 ) | declination ( j2000 ) |\n| --- | --- | --- | --- | --- |\n| 2014 | association of stars | dorado | 05h32 m24s | degree41′ |\n| 2020 | diffuse nebula | dorado | 05h33 m12s | degree43′ |\n| 2021 | association of stars | dorado | 05h33 m30s | degree27′ |\n| 2022 | planetary nebula | orion | 05h42 m06.2s | degree05′11″ |\n| 2023 | diffuse nebula | orion | 05h41 m37.9s | degree15′52″ |\n| 2024 | emission nebula | orion | 05h41 m43s | degree51′ |\n| 2025 | open cluster | mensa | 05h32 m33s | degree43′ |\n| 2043 | open cluster | mensa | 05h35 m56.7s | degree04′23″ |\n| 2068 | diffuse nebula | orion | 05h46 m46.7s | degree00′50″ |\n| 2070 | open cluster | dorado | 05h38 m42s | degree06′ |\n| 2080 | open cluster | dorado | 05h39 m44s | degree39′ |\n| 2090 | spiral galaxy | columba | 05h47 m02.3s | degree15′05″ |\n| 2099 | open cluster | auriga | 05h52 m19s | degree33′ |\n| 2100 | open cluster | dorado | 05h42 m09s | degree12′43″ |" + } + ] + }, + { + "id": "table_recognition_train_item_62066", + "image": "table_instructV/images/TabFact_2-11051845-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| ngc number | object type | constellation | right ascension ( j2000 ) | declination ( j2000 ) | apparent magnitude |\n| --- | --- | --- | --- | --- | --- |\n| 5001 | spiral galaxy | ursa major | 13h09 m33.5s | degree29′38″ | 14.6 |\n| 5002 | irregular galaxy | canes venatici | 13h10 m38.3s | degree38′03″ | 14.7 |\n| 5003 | spiral galaxy | canes venatici | 13h08 m37.9s | degree44′15″ | 15.3 |\n| 5004 | lenticular galaxy | coma berenices | 13h11 m01.7s | degree38′11″ | 14.3 |\n| 5005 | spiral galaxy | canes venatici | 13h10 m56.3s | degree03′30″ | 10.6 |\n| 5006 | lenticular galaxy | virgo | 13h11 m46s | degree15′41″ | 12.4 |\n| 5007 | elliptical galaxy | ursa major | 13h9 m4s | degree10′31″ | 13.3 |\n| 5008 | barred spiral galaxy | boötes | 14h10 m57s | degree29′47″ | 13.4 |\n| 5009 | barred spiral galaxy | canes venatici | 13h10 m47s | degree5′35″ | 14.5 |\n| 5010 | lenticular galaxy | virgo | 13h12 m26.4s | degree47′52″ | 14.4 |\n| 5023 | spiral galaxy | canes venatici | 13h12 m11.8s | degree02′17″ | 12.82 |\n| 5024 | globular cluster | coma berenices | 13h12 m55.3s | degree10′09″ | 9.0 |\n| 5033 | spiral galaxy | canes venatici | 13h13 m27.6s | degree35′37″ | 10.9 |\n| 5055 | spiral galaxy | canes venatici | 13h15 m49.3s | degree01′47″ | 9.7 |\n| 5068 | spiral galaxy | virgo | 13h18 m55.2s | degree02′21″ | 10.5 |\n| 5078 | spiral galaxy | hydra | 13h19 m50.2s | degree24′35″ | 11.5 |\n| 5087 | elliptical galaxy | virgo | 13h20 m25.2s | degree36′37″ | 13 |\n| 5090 | elliptical galaxy | centaurus | 13h21 m12.8s | degree42′16″ | 12.6 |\n| 5091 | spiral galaxy | centaurus | 13h21 m18.5s | degree43′19″ | 14.5 |\n| 5100 | interacting galaxy | virgo | 13h21 m00.6s | degree58′40″ | 15.1 |" + } + ] + }, + { + "id": "table_recognition_train_item_50810", + "image": "table_instructV/images/TAT-QA_679c383d-e7b5-4bfb-bd89-8677eb47ffa6.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| | December 31, | |\n| --- | --- | --- |\n| (In millions) | 2019 | 2018 |\n| Balance at beginning of period(1) | $ 150.1 | $ 71.5 |\n| Gains (losses) on assets still held at end of year | 16.8 | (16.0) |\n| Purchases, sales, issuance, and settlements(2) | 8.3 | 103.7 |\n| Transfers in and/or out of Level 3 | — | 1.0 |\n| Foreign exchange gain (loss) | 5.0 | (10.1) |\n| Balance at end of period(1) | $ 180.2 | $ 150.1 |" + } + ] + }, + { + "id": "table_recognition_train_item_34759", + "image": "table_instructV/images/TABMWP_12528.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 13 | 0 |\n| 14 | 10 |\n| 15 | 20 |" + } + ] + }, + { + "id": "table_recognition_train_item_106534", + "image": "table_instructV/images/ToTTo_train_table_27434.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Promoted | Name | Born | Died | Notes |\n| --- | --- | --- | --- | --- |\n| 1838 | James Meredyth | | 1841 | |\n| 1854 | Walter Tremenheere | 1761 | 1855 | placed on the Retired List 1855 |\n| 1855 | Edward Nicolls | 1779 | 1865 | Promoted while on the Retired List |\n| 1855 | George Jones | | 1857 | |\n| 1855 | George Beatty | | 1857 | |\n| 1857 | Thomas Parke | 1780 | 1858 | |\n| 1857 | Sir Charles Menzies | 1783 | 1866 | |\n| 1858 | John Rawlins Coryton | 1791 | 1867 | |\n| 1862 | Sir Samuel Ellis | 1787 | 1865 | |\n| 1866 | Henry Ivatt Delacombe | 1790 | 1878 | |\n| 1866 | Fortescue Graham | 1794 | 1880 | |\n| 1867 | John Tatton Brown | 1795 | 1880 | |\n| 1870 | Sir Anthony Stransham | 1805 | 1900 | |\n| 1870 | Alexander Anderson | 1807 | 1877 | |\n| 1870 | Thomas Holloway | | 1875 | |\n| 1875 | John Gascoigne | 1811 | 1893 | |\n| 1875 | Henry Carr Tate) | | | |\n| 1897 | Sir Howard Jones | 1835 | 1912 | placed on the Retired List 1900 |\n| | Frederick Gasper Le Grand | 1837 | 1905 | placed on the Retired List 1901 |\n| 1900 | Samuel James Graham | | | |\n| 1901 | Ardley Henry Falwasser Barnes | 1838 | 1910 | placed on the Retired List 1902 |\n| 1902 | Edward Lee Rose | 1842 | 1903 | |\n| 1912 | Sir William Thompson Adair | 1850 | 1931 | |\n| 1912 | Henry Cecil Eagles | | | (1855–1927)? |\n| 1914 | James Henry Bor | 1857 | 1914 | |\n| 1914 | William Inglefield Eastman | 1856 | 1941 | |\n| 1928 | Sir Lewis Halliday | 1870 | 1966 | |\n| 1945 | Sir Thomas Hunton | 1885 | 1970 | |\n| 1948 | Sir Dallas Brooks | 1896 | 1966 | |\n| 1951 | Sir Leslie Hollis | 1897 | 1963 | |\n| | Sir John Westall | 1901 | 1986 | |\n| | Sir Campbell Hardy | 1906 | 1984 | |\n| 1961 | Sir Ian Riches | 1908 | 1996 | |\n| 1964 | Sir Malcolm Cartwright-Taylor | 1911 | 1969 | |\n| 1967 | Sir Norman Tailyour | 1914 | 1979 | |\n| 1970 | Sir Peter Hellings | 1916 | 1990 | |\n| 1973 | Sir Ian Gourlay | 1920 | 2013 | |\n| 1977 | Sir Peter Whiteley | 1920 | 2016 | |\n| 2016 | Sir Gordon Messenger | 1962 | | Vice-Chief of the Defence Staff from May 2016 onwards |" + } + ] + }, + { + "id": "table_recognition_train_item_65068", + "image": "table_instructV/images/TabFact_1-22822559-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4 | november 3 | orlando | w 85 - 80 (ot) | ben gordon (23) | ben wallace (10) | ben gordon , rodney stuckey (3) | the palace of auburn hills 15487 | 2 - 2 |\n| 5 | november 4 | toronto | l 99 - 110 (ot) | ben gordon (30) | rodney stuckey (10) | will bynum (6) | air canada centre 17915 | 2 - 3 |\n| 6 | november 6 | orlando | l 103 - 110 (ot) | charlie villanueva (28) | jonas jerebko (6) | ben gordon (5) | amway arena 17461 | 2 - 4 |\n| 7 | november 8 | philadelphia | w 88 - 81 (ot) | ben gordon (23) | ben wallace (16) | will bynum (8) | the palace of auburn hills 17187 | 3 - 4 |\n| 8 | november 11 | charlotte | w 98 - 75 (ot) | charlie villanueva (30) | ben wallace (9) | ben gordon (8) | the palace of auburn hills 15417 | 4 - 4 |\n| 9 | november 14 | washington | w 106 - 103 (ot) | ben gordon (29) | rodney stuckey (9) | will bynum (6) | verizon center 20173 | 5 - 4 |\n| 10 | november 15 | dallas | l 90 - 95 (ot) | rodney stuckey (28) | charlie villanueva , ben wallace (10) | will bynum (3) | the palace of auburn hills 18215 | 5 - 5 |\n| 11 | november 17 | la lakers | l 93 - 106 (ot) | will bynum (24) | jason maxiell (7) | will bynum (6) | staples center 18997 | 5 - 6 |\n| 12 | november 18 | portland | l 81 - 87 (ot) | rodney stuckey (21) | ben wallace (12) | rodney stuckey (5) | rose garden arena 20391 | 5 - 7 |\n| 13 | november 21 | utah | l 97 - 100 (ot) | ben gordon (25) | ben wallace (9) | rodney stuckey (6) | energysolutions arena 18355 | 5 - 8 |\n| 14 | november 22 | phoenix | l 91 - 117 (ot) | dajuan summers , charlie villanueva (13) | jason maxiell (7) | rodney stuckey (5) | us airways center 18422 | 5 - 9 |\n| 15 | november 25 | cleveland | l 88 - 98 (ot) | rodney stuckey (25) | ben wallace (9) | will bynum (5) | the palace of auburn hills 22076 | 5 - 10 |\n| 16 | november 27 | la clippers | l 96 - 104 (ot) | jonas jerebko (22) | ben wallace (16) | will bynum (9) | the palace of auburn hills 18594 | 5 - 11 |" + } + ] + }, + { + "id": "table_recognition_train_item_115069", + "image": "table_instructV/images/Rotowire_train_table_1877.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hornets | Charlotte | 94 | 18 | 24 | 26 | 26 | 18 | 41 | 10 | 42 | 78 | 33 | 10 | 21 | | | | |\n| Magic | Orlando | 102 | 22 | 30 | 29 | 21 | 22 | 40 | 6 | 46 | 75 | 40 | 12 | 21 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Kemba Walker | 42 | 42 | 3 | 7 | 15-31 | 48% | 5-12 | 42% | 7-9 | 78% | 0 | 2 | 1 | 1 | 2 | 0 | G | Charlotte |\n| Al Jefferson | 33 | 14 | 9 | 1 | 7-11 | 64% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 4 | 2 | 7 | 2 | C | Charlotte |\n| Michael Kidd-Gilchrist | 35 | 9 | 8 | 2 | 3-8 | 38% | 0-0 | 0% | 3-4 | 75% | 0 | 0 | 2 | 2 | 6 | 3 | F | Charlotte |\n| Marvin Williams | 27 | 9 | 8 | 2 | 3-8 | 38% | 0-3 | 0% | 3-3 | 100% | 0 | 0 | 0 | 2 | 6 | 4 | N/A | Charlotte |\n| Gerald Henderson | 29 | 7 | 2 | 2 | 3-8 | 38% | 1-2 | 50% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 4 | G | Charlotte |\n| Gary Neal | 26 | 7 | 5 | 1 | 3-9 | 33% | 1-4 | 25% | 0-0 | 0% | 0 | 1 | 0 | 1 | 4 | 0 | N/A | Charlotte |\n| Brian Roberts | 7 | 3 | 2 | 2 | 1-3 | 33% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | Charlotte |\n| Cody Zeller | 19 | 3 | 2 | 1 | 1-5 | 20% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 0 | 1 | 1 | 2 | F | Charlotte |\n| Bismack Biyombo | 10 | 0 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 0 | 2 | 1 | N/A | Charlotte |\n| PJ Hairston | 12 | 0 | 0 | 0 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 2 | N/A | Charlotte |\n| Jeff Taylor | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Noah Vonleh | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Jason Maxiell | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Nikola Vucevic | 34 | 22 | 11 | 3 | 9-19 | 47% | 0-0 | 0% | 4-4 | 100% | 1 | 0 | 0 | 2 | 9 | 2 | C | Orlando |\n| Tobias Harris | 34 | 21 | 6 | 3 | 7-16 | 44% | 2-4 | 50% | 5-8 | 63% | 2 | 1 | 2 | 1 | 5 | 2 | F | Orlando |\n| Victor Oladipo | 38 | 13 | 6 | 3 | 6-9 | 67% | 0-2 | 0% | 1-2 | 50% | 1 | 2 | 0 | 0 | 6 | 4 | G | Orlando |\n| Evan Fournier | 35 | 12 | 2 | 2 | 5-14 | 36% | 2-7 | 29% | 0-1 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Orlando |\n| Elfrid Payton | 35 | 11 | 7 | 8 | 4-13 | 31% | 0-1 | 0% | 3-4 | 75% | 1 | 0 | 0 | 2 | 5 | 2 | G | Orlando |\n| Ben Gordon | 17 | 11 | 0 | 0 | 3-5 | 60% | 2-2 | 100% | 3-3 | 100% | 0 | 1 | 1 | 0 | 0 | 0 | N/A | Orlando |\n| Channing Frye | 21 | 5 | 4 | 0 | 2-3 | 67% | 1-2 | 50% | 0-0 | 0% | 1 | 1 | 0 | 0 | 4 | 2 | N/A | Orlando |\n| Dewayne Dedmon | 11 | 4 | 3 | 0 | 1-1 | 100% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 1 | 0 | 3 | 4 | N/A | Orlando |\n| Kyle O'Quinn | 14 | 3 | 1 | 3 | 1-3 | 33% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | F | Orlando |\n| Willie Green | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Andrew Nicholson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Maurice Harkless | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Luke Ridnour | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |" + } + ] + }, + { + "id": "table_recognition_train_item_68960", + "image": "table_instructV/images/TabFact_2-12281192-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| rank | nation | gold | silver | bronze | total |\n| --- | --- | --- | --- | --- | --- |\n| 1 | canada | 1 | 1 | 2 | 4 |\n| 2 | lebanon | 1 | 1 | 0 | 2 |\n| 3 | bulgaria | 1 | 0 | 1 | 2 |\n| 4 | benin | 1 | 0 | 0 | 1 |\n| 4 | quebec | 1 | 0 | 0 | 1 |\n| 4 | cape verde | 1 | 0 | 0 | 1 |\n| 4 | ivory coast | 1 | 0 | 0 | 1 |\n| 8 | vietnam | 0 | 2 | 0 | 2 |\n| 9 | central african republic | 0 | 1 | 0 | 1 |\n| 9 | french community of belgium | 0 | 1 | 0 | 1 |\n| 9 | niger | 0 | 1 | 0 | 1 |\n| 9 | democratic republic of the congo | 0 | 1 | 0 | 1 |\n| 9 | republic of the congo | 0 | 1 | 0 | 1 |\n| 14 | cameroon | 0 | 0 | 1 | 1 |\n| 14 | madagascar | 0 | 0 | 1 | 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_30888", + "image": "table_instructV/images/TABMWP_1692.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | Organic | Non-organic |\n| --- | --- | --- |\n| Apples | 3 | 4 |\n| Peaches | 5 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_59354", + "image": "table_instructV/images/TabFact_2-1210297-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| ship | pennant number | laid down | launched | completed |\n| --- | --- | --- | --- | --- |\n| gallant | h59 | 15 september 1934 | 26 september 1935 | 25 february 1936 |\n| garland | h37 | 22 august 1934 | 24 october 1935 | 3 march 1936 |\n| gipsy | h63 | 4 september 1934 | 7 november 1935 | 22 february 1936 |\n| glowworm | h92 | 15 august 1934 | 22 july 1935 | 22 january 1936 |\n| grafton | h89 | 30 august 1934 | 18 september 1935 | 20 march 1936 |\n| grenade | h86 | 3 october 1934 | 12 november 1935 | 28 march 1936 |\n| grenville | h03 | 29 september 1934 | 15 august 1935 | 1 july 1936 |\n| greyhound | h05 | 20 september 1934 | 15 august 1935 | 1 february 1936 |\n| griffin | h31 | 20 september 1934 | 15 august 1935 | 6 march 1936 |" + } + ] + }, + { + "id": "table_recognition_train_item_107280", + "image": "table_instructV/images/ToTTo_train_table_30573.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| Year | Film | Language | Role | Notes |\n| --- | --- | --- | --- | --- |\n| 2014 | Maanikya | Kannada | Manasa | |\n| 2016 | Wagah | Tamil | Kaanum/Kajal | |\n| 2017 | Pataki | Kannada | Sangeetha | |" + } + ] + }, + { + "id": "table_recognition_train_item_48752", + "image": "table_instructV/images/TAT-QA_70d631e9-6ea9-45eb-91c0-c4ef22b5f9a5.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| ($ in millions) | | | |\n| --- | --- | --- | --- |\n| | 2019 | 2018 | 2017 |\n| Balance at January 1 | $6,759 | $ 7,031 | $3,740 |\n| Additions based on tax positions related to the current year | 816 | 394 | 3,029 |\n| Additions for tax positions of prior years | 779 | 1,201 | 803 |\n| Reductions for tax positions of prior years (including impacts due to a lapse of statute) | (922) | (1,686) | (367) |\n| Settlements | (286) | (181) | (174) |\n| Balance at December 31 | $7,146 | $ 6,759 | $7,031 |" + } + ] + }, + { + "id": "table_recognition_train_item_65518", + "image": "table_instructV/images/TabFact_1-25401-15.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| english | latin | proto - italo - western 1 | conservative central italian 1 | italian | spanish | catalan | old french |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| one (fem) | ūnam | ˈuna | una | una | una | una | une |\n| door | portam | ˈpɔrta | pɔrta | porta | puerta | porta | porte |\n| seven | septem | ˈsɛtte | sɛtte | sette | siete | set | set |\n| sea | mare | ˈmare | mare | mare | mar | mar | mer |\n| peace | pācem | ˈpatʃe | pace | pace | paz | pau | paiz |\n| part | partem | ˈparte | parte | parte | parte | part | part |\n| mother | mātrem | ˈmatre | matre | madre | madre | mare | meḍre |\n| twenty | vīgintī | veˈenti | vinti | venti | veinte | vint | vint |\n| four | quattuor | ˈkwattro | quattro | quattro | cuatro | quatre | quatre |\n| eight | octō | ˈɔkto | ɔtto | otto | ocho | vuit | huit |\n| when | quandō | ˈkwando | quando | quando | cuando | quan | quant |\n| fourth | quartum | ˈkwartu | quartu | quarto | cuarto | quart | quart |\n| one (masc) | ūnum | ˈunu | unu | uno | uno | un | un |" + } + ] + }, + { + "id": "table_recognition_train_item_53986", + "image": "table_instructV/images/TabFact_2-18624773-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| rank | lane | name | nationality | time |\n| --- | --- | --- | --- | --- |\n| 1 | 4 | kosuke kitajima | japan | 59.55 |\n| 2 | 5 | brenton rickard | australia | 59.65 |\n| 3 | 8 | mark gangloff | united states | 1:00.44 |\n| 4 | 6 | igor borysik | ukraine | 1:00.55 |\n| 5 | 7 | oleg lisogor | ukraine | 1:00.56 |\n| 6 | 1 | mihail alexandrov | bulgaria | 1:00.61 |\n| 7 | 3 | giedrius titenis | lithuania | 1:00.66 |\n| 8 | 2 | christian sprenger | australia | 1:00.76 |" + } + ] + }, + { + "id": "table_recognition_train_item_34297", + "image": "table_instructV/images/TABMWP_38124.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Number of drawers | Number of pens |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_51830", + "image": "table_instructV/images/TAT-QA_b75b79c3-e080-40fe-9ab9-2d82c975ad38.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| | 2019 | 2018 |\n| --- | --- | --- |\n| | (in thousands) | |\n| Raw material | $118,595 | $89,365 |\n| Work-in-process | 32,695 | 31,014 |\n| Finished goods | 45,401 | 33,162 |\n| | $196,691 | $153,541 |" + } + ] + }, + { + "id": "table_recognition_train_item_49878", + "image": "table_instructV/images/TAT-QA_22f7b8e6-f450-49ed-9063-d0699c80e3b6.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | | Years Ended December 31, | |\n| --- | --- | --- | --- |\n| | 2019 | 2018 | 2017 |\n| | | (in thousands) | |\n| Revenue: | | | |\n| Royalty and license fees | $81,943 | $186,425 | $205,809 |\n| Total revenue | 81,943 | 186,425 | 205,809 |\n| Operating expenses: | | | |\n| Research, development and other related costs | 28,732 | 27,514 | 30,039 |\n| Litigation | 3,471 | 26,099 | 36,209 |\n| Amortization | 11,871 | 19,906 | 21,590 |\n| Total operating expenses (1) | 44,074 | 73,519 | 87,838 |\n| Total operating income | $37,869 | $112,906 | $117,971 |" + } + ] + }, + { + "id": "table_recognition_train_item_34359", + "image": "table_instructV/images/TABMWP_583.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Mixture | Temperature (°C) |\n| --- | --- |\n| Bromine mixture | -4 |\n| Acetone mixture | 5 |" + } + ] + }, + { + "id": "table_recognition_train_item_112081", + "image": "table_instructV/images/Rotowire_train_table_383.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bucks | Milwaukee | 85 | 15 | 26 | 28 | 16 | 18 | 51 | 16 | 41 | 67 | 20 | 4 | 4 | | | | |\n| Thunder | Oklahoma City | 78 | 22 | 16 | 26 | 14 | 15 | 46 | 15 | 33 | 74 | 30 | 2 | 6 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Bucks | | | | | | | | | | | | | | | | | | |\n| O.J. Mayo | 29 | 19 | 4 | 1 | 6-15 | 40% | 2-7 | 29% | 5-7 | 71% | 0 | 0 | 0 | 1 | 3 | 2 | N/A | Milwaukee |\n| Brandon Knight | 34 | 16 | 4 | 4 | 6-15 | 40% | 1-5 | 20% | 3-4 | 75% | 1 | 6 | 0 | 0 | 4 | 2 | G | Milwaukee |\n| Giannis Antetokounmpo | 26 | 14 | 9 | 1 | 6-13 | 46% | 0-0 | 0% | 2-4 | 50% | 0 | 1 | 2 | 2 | 7 | 2 | N/A | Milwaukee |\n| Zaza Pachulia | 22 | 8 | 10 | 4 | 3-7 | 43% | 0-0 | 0% | 2-2 | 100% | 2 | 2 | 1 | 4 | 6 | 4 | N/A | Milwaukee |\n| Nate Wolters | 18 | 6 | 2 | 1 | 3-7 | 43% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 0 | N/A | Milwaukee |\n| Jerryd Bayless | 21 | 6 | 4 | 0 | 2-3 | 67% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 0 | 0 | 4 | 1 | N/A | Milwaukee |\n| Jabari Parker | 21 | 6 | 4 | 3 | 3-7 | 43% | 0-0 | 0% | 0-1 | 0% | 0 | 1 | 0 | 2 | 2 | 1 | F | Milwaukee |\n| Larry Sanders | 22 | 4 | 6 | 1 | 2-6 | 33% | 0-0 | 0% | 0-2 | 0% | 0 | 3 | 1 | 3 | 3 | 5 | C | Milwaukee |\n| Jared Dudley | 19 | 4 | 2 | 2 | 2-6 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 0 | G | Milwaukee |\n| Ersan Ilyasova | 23 | 2 | 5 | 1 | 0-2 | 0% | 0-1 | 0% | 2-2 | 100% | 1 | 1 | 0 | 1 | 4 | 4 | F | Milwaukee |\n| John Henson | 5 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 2 | 0 | 1 | 1 | N/A | Milwaukee |\n| Kendall Marshall | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Khris Middleton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Reggie Jackson | 43 | 29 | 4 | 4 | 12-21 | 57% | 2-6 | 33% | 3-3 | 100% | 2 | 3 | 1 | 0 | 4 | 3 | G | Oklahoma City |\n| Serge Ibaka | 35 | 14 | 7 | 2 | 4-13 | 31% | 2-5 | 40% | 4-4 | 100% | 0 | 3 | 1 | 1 | 6 | 4 | F | Oklahoma City |\n| Anthony Morrow | 14 | 10 | 0 | 0 | 4-7 | 57% | 1-1 | 100% | 1-2 | 50% | 0 | 1 | 0 | 0 | 0 | 3 | N/A | Oklahoma City |\n| Kendrick Perkins | 21 | 7 | 9 | 2 | 3-4 | 75% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 2 | 2 | 7 | 2 | N/A | Oklahoma City |\n| Jeremy Lamb | 34 | 6 | 8 | 3 | 2-13 | 15% | 0-2 | 0% | 2-2 | 100% | 2 | 3 | 0 | 2 | 6 | 3 | G | Oklahoma City |\n| Lance Thomas | 27 | 5 | 3 | 0 | 2-10 | 20% | 0-0 | 0% | 1-2 | 50% | 1 | 2 | 0 | 2 | 1 | 1 | F | Oklahoma City |\n| Ish Smith | 9 | 3 | 4 | 0 | 1-6 | 17% | 1-3 | 33% | 0-0 | 0% | 1 | 1 | 0 | 2 | 2 | 1 | N/A | Oklahoma City |\n| Steven Adams | 25 | 2 | 10 | 0 | 0-4 | 0% | 0-0 | 0% | 2-4 | 50% | 0 | 1 | 1 | 4 | 6 | 2 | C | Oklahoma City |\n| Sebastian Telfair | 16 | 2 | 1 | 1 | 1-6 | 17% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Oklahoma City |\n| Nick Collison | 15 | 0 | 0 | 3 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Oklahoma City |\n| Andre Roberson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Perry Jones III | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Russell Westbrook | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |" + } + ] + }, + { + "id": "table_recognition_train_item_31718", + "image": "table_instructV/images/TABMWP_10554.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Date | Description | Received | Expenses | Available Funds |\n| --- | --- | --- | --- | --- |\n| | Balance: end of March | | | $461.80 |\n| 4/7 | bag of jellybeans | | $4.15 | $457.65 |\n| 4/14 | helping Mr. Kramer | $20.00 | | $477.65 |\n| 4/23 | umbrella | | $12.65 | $465.00 |" + } + ] + }, + { + "id": "table_recognition_train_item_102646", + "image": "table_instructV/images/ToTTo_train_table_11056.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| No | Title | Creation | Notes |\n| --- | --- | --- | --- |\n| 800 | Newton of The Wood | 18 May 1900 | |\n| 801 | Chance of Grand Avenue, Hove | 18 June 1900 | |\n| 802 | Chubb of Newlands | 20 June 1900 | Unproven but under review; 3rd Bt died 2003 (3rd Baron Hayter) |\n| 803 | Lawson of Weetwood Grange | 12 July 1900 | |\n| 804 | Wrightson of Neasham Hall | 13 July 1900 | |\n| 806 | Pile of Kenilworth House | 24 September 1900 | |\n| 807 | McConnell of The Moat | 25 September 1900 | |\n| 808 | Thomson, now Mitchell-Thomson of Polmond | 26 September 1900 | Baron Selsdon |\n| 809 | Aird of Hyde Park Terrace | 5 March 1901 | |\n| 810 | Backhouse of Uplands and the Rookery | 6 March 1901 | |\n| 811 | Portal of Malshanger | 11 March 1901 | |\n| 812 | Barlow of Wimpole Street | 7 March 1902 | |\n| 813 | Porter, now Horsbrugh-Porter of Merrion Square | 22 July 1902 | |\n| 814 | Bradford of South Audley Street | 24 July 1902 | |\n| 815 | Noble of Ardmore and Ardardan Noble | 25 July 1902 | |\n| 816 | Jackson of Stansted House | 4 August 1902 | |\n| 817 | Henderson of Buscot Park | 5 August 1902 | Baron Faringdon |\n| 818 | McLaren of Bodnant, Gwylgre & Hilders | 8 August 1902 | Unproven, under review; 3rd Bt died 2003 (3rd Baron Aberconway) |\n| 819 | Brown, now Pigott-Brown of Broome Hall | 5 January 1903 | |\n| 820 | Banbury of Warneford Place | 6 January 1903 | Baron Banbury of Southam |\n| 821 | Renshaw of Coldharbour, Baronchan and Garvocks | 7 January 1903 | |\n| 823 | Arthur of Carlung | 10 January 1903 | Baron Glenarthur |\n| 824 | Nutting of St Helens, Booterstown | 12 January 1903 | |\n| 825 | Primrose of Redholme | 7 July 1903 | |\n| 826 | Hickman of Wightwick | 25 August 1903 | |\n| 827 | Samuel of The Mote and Portland Place | 26 August 1903 | Viscount Bearsted |\n| 828 | Cory-Wright of Caen Wood Towers and Horsey | 28 August 1903 | |\n| 829 | Rasch of Woodhill | 29 August 1903 | |\n| 830 | Dixon of Ballymenoch | 7 October 1903 | Baron Glentoran |\n| 831 | Cochrane of Woodbrook, Lisgar Castle and Kildare Street | 8 October 1903 | |\n| 832 | FitzGerald of Cork | 10 October 1903 | Dormant; 2nd Bt died 1957 |\n| 833 | Brooke of Summerton | 12 October 1903 | |\n| 834 | Smiley of Drumalis and Gallowhill | 13 October 1903 | |\n| 835 | Wills of Hazelwood and Clapton-in Gordano | 19 August 1904 | |\n| 836 | Ropner of Preston Hall and Skutterskelfe Hall | 20 August 1904 | |\n| 837 | Goulding of Millicent | 22 August 1904 | Dormant; 3rd Bt died 1982 |\n| 838 | Kimber of Lansdown Lodge | 24 August 1904 | |\n| 839 | White of Cotham House | 26 August 1904 | |\n| 840 | Cayzer of Gartmore | 12 December 1904 | |\n| 841 | Boyle of Ockham | 14 December 1904 | |\n| 842 | Nairn of Rankeilour and Dysart House | 16 December 1904 | |\n| 843 | Boulton of Copped Hall | 24 July 1905 | Dormant; 4th Bt died 1996 |\n| 844 | Birkin of Ruddington Grange | 25 July 1905 | |\n| 845 | Fison of Greenholme | 27 July 1905 | |\n| 846 | Royden of Frankby Hall | 29 July 1905 | |\n| 847 | Tritton of Bloomfield | 1 August 1905 | |\n| 848 | Pound of Stanmore | 3 August 1905 | |\n| 849 | Coats of Auchendrane | 7 December 1905 | |\n| 850 | Davis-Goff of Glenville | 8 December 1905 | |\n| 851 | Morrison-Bell of Otterburn Hall | 18 December 1905 | |\n| 852 | Cooper of Shenstone Court | 20 December 1905 | |\n| 853 | Hogg, now Lindsay-Hogg of Rotherfield Hall | 22 December 1905 | |\n| 854 | Ley of Epperstone Manor | 27 December 1905 | |\n| 855 | Mann of Thelveton Hall | 29 December 1905 | |\n| 856 | Milburn of Guyzance | 30 December 1905 | |\n| 857 | Walker of Pembroke House | 12 July 1906 | Unproven, under review; 4th Bt died 2004 |\n| 858 | Lawrence of Stone Gardens | 13 July 1906 | |\n| 859 | Nixon of Roebuck Grove | 14 July 1906 | |\n| 860 | Swann of Princes Gardens | 16 July 1906 | |\n| 861 | Spicer of Lancaster Gate | 17 July 1906 | |\n| 862 | Johnson-Ferguson of Springkell, Kenyon and Wiston | 18 July 1906 | |\n| 863 | Greenwell of Marden Park and Grenwell | 19 July 1906 | |\n| 864 | Runciman of Jesmond | 23 July 1906 | Viscount Runciman of Doxford |\n| 866 | Wilson of Airdrie | 27 July 1906 | |\n| 867 | Cawley of Prestwich | 1 December 1906 | Baron Cawley |\n| 868 | Graham of Lambert House and Househill | 4 December 1906 | |\n| 869 | Barlow of Bradwell Hall | 20 July 1907 | |\n| 870 | Blake of Tilmouth Park | 22 July 1907 | |\n| 871 | Dewar of the City of Perth | 24 July 1907 | Baron Forteviot |\n| 872 | Philipson-Stow of Cape Town and Blackdown House | 26 July 1907 | |\n| 873 | Scott of Beauclerc | 27 July 1907 | |\n| 874 | Colman of Gatton Park | 26 November 1907 | |\n| 875 | Leese of Send Holme | 15 July 1908 | Dormant; 4th Bt died 1979 |\n| 876 | Jehangir of Bombay | 16 July 1908 | |\n| 877 | Brunton of Stratford Place | 17 July 1908 | |\n| 878 | Cheyne of Leagarth | 20 July 1908 | |\n| 879 | Borthwick of Whitburgh | 21 July 1908 | |\n| 880 | Kearley of Wittington | 22 July 1908 | Viscount Devonport |\n| 881 | Roberts of Brynwenalt of Kilmaron | 25 July 1908 | Baron Clwyd. Unproven; 3rd Bt died 2007 |\n| 882 | Robinson of Hawthornden and Dudley House | 27 July 1908 | |\n| 883 | Warmington of Pembridge Square | 28 July 1908 | |\n| 884 | Low, now Morrison-Low of Kilmaron | 27 November 1908 | |\n| 885 | Critchett of Harley Street | 28 November 1908 | |\n| 886 | Duckworth of Grosvenor Place | 15 July 1909 | |\n| 887 | Truscott of Oakleigh | 16 July 1909 | Unproven, under review; 3rd Bt died 2001 |\n| | Rose of Hardwick House | 19 July 1909 | See also Rose baronets, of Montreal |\n| 888 | Lakin of The Cliff | 22 July 1909 | |\n| 889 | Scott of the Yews | 27 July 1909 | |\n| 890 | Williams of Castell Deudraeth | 28 July 1909 | |\n| 891 | Williamson of Glenogil | 29 July 1909 | Baron Forres |\n| 892 | Crossley of Glenfield | 26 November 1909 | Unproven; 5th Bt died 2003 |\n| 893 | Horsfall of Hayfield | 27 November 1909 | |\n| 894 | Kleinwort of Bolnore | 29 November 1909 | |\n| 895 | Roberts of Milner Field | 30 November 1909 | |\n| 896 | Fuller of Neston Park | 7 July 1910 | |\n| 897 | Mond of Hartford Hill | 8 July 1910 | Baron Melchett |\n| 898 | Warner of Brettenham | 9 July 1910 | |\n| 899 | Briscoe of Bourn Hall | 12 July 1910 | |\n| 900 | Harmsworth of Horsey | 14 July 1910 | Viscount Rothermere |\n| 901 | Jones, now Prichard-Jones of Bron Menai | 15 July 1910 | |\n| 902 | Meyer of Shortgrove | 18 July 1910 | |\n| 903 | Tuck of Park Crescent | 19 July 1910 | |\n| 904 | Ebrahim of Bombay | 20 July 1910 | |\n| 905 | Baring of Nubia House | 4 February 1911 | |\n| 906 | Graaff of Cape Town | 6 February 1911 | |\n| 907 | Lever of Hans Crescent | 8 February 1911 | |\n| 908 | Macara of Ardmore | 9 February 1911 | |\n| 911 | Younger of Auchen Castle | 14 February 1911 | |\n| 912 | Ward of Wellington | 20 June 1911 | |\n| 913 | Ball of Dublin | 23 June 1911 | |\n| 914 | Redwood of Avenue Road | 24 June 1911 | |\n| 915 | Bethell of Park House | 26 June 1911 | Baron Bethell |\n| 916 | Coates, now Milnes Coates of Helperby Hall | 29 June 1911 | |\n| | Raphael of Cavendish Square in the Metropolitan Borough of St. Marylebone | 29 June 1911 | Extinct on death of First Baronet without issue in 1924. |\n| 917 | Everard of Randlestown | 3 June 1911 | |\n| | Perrott of Plumstead | 21 June 1911 | Extinct, under review |\n| 918 | Goodhart of Portland Place and Holtye | 1 July 1911 | |\n| 919 | Haworth of Dunham Massey | 3 July 1911 | |\n| 920 | Leon of Bletchley Park | 5 July 1911 | |\n| 922 | Mander of The Mount | 8 July 1911 | Unproven; 3rd Bt died 2006 (heir living) |\n| 923 | Markham of Beachborough Park | 10 July 1911 | |\n| 924 | Younger of Leckie | 12 July 1911 | 5th Viscount Younger of Leckie |\n| 925 | Henniker-Heaton of Mundurrah | 1 January 1912 | |\n| 926 | Nelson of Acton Park | 5 February 1912 | Dormant; 3rd Bt died 1991 |\n| 927 | Neumann, now Newman of Cecil Lodge | 6 February 1912 | |\n| 928 | Nicholson of Harrington Gardens | 7 February 1912 | |\n| 929 | Ralli of Park Street | 8 February 1912 | |\n| 930 | Skinner of Pont Street | 9 February 1912 | |\n| 931 | Phillips of Tylney Hall | 10 February 1912 | |\n| 932 | Albu of Grosvenor Place and Johannesburg | 12 February 1912 | |\n| 933 | Smith, now Hamilton-Smith of Colwyn Bay | 9 July 1912 | Baron Colwyn |\n| 934 | Scott of Witley | 3 February 1913 | |\n| 936 | Crisp of Bungay | 5 February 1913 | |\n| 937 | Runchorelal of Shahpur | 6 February 1913 | |\n| 938 | Bartlett of Hardington Mandeville | 7 February 1913 | Unproven; 4th Bt died 1998 |\n| 939 | Jackson of Eagle House | 10 February 1913 | |\n| 940 | Denny of Dunbarton | 16 June 1913 | |\n| 941 | Gwynne-Evans, now Evans-Tipping of Oaklands Park | 17 June 1913 | |\n| 942 | Furness of Tunstall Grange | 18 June 1913 | |\n| 943 | Vestey of Bessemer House | 21 June 1913 | Baron Vestey |\n| 944 | Burnett of Selbourne House | 17 October 1913 | |\n| | Campbell of Ardnamurchan | 29 November 1913 with precedence of 1804 | Dormant; 2nd Bt died 1943 |\n| 945 | McFarland of Aberfoyle | 23 January 1914 | |\n| 946 | Vernon of Shotwick Park | 24 January 1914 | Unproven |\n| 947 | Hobart of Langdon | 14 July 1914 | |\n| 948 | Benn of the Old Knoll | 15 July 1914 | |\n| 949 | Bowater of Hill Crest | 16 July 1914 | |\n| 950 | Beecham of Ewanville | 17 July 1914 | Dormant; 3rd Bt died 1982 |\n| 951 | Horlick of Cowley Manor | 18 July 1914 | |\n| 952 | Maclay of Park Terrace | 20 July 1914 | Baron Maclay |\n| 953 | Nivison of Sanguhar | 21 July 1914 | Baron Glendyne |\n| 954 | Greenwood of Onslow Gardens | 8 February 1915 | Unproven; 3rd Bt died 2003 (3rd Viscount Greenwood) |\n| 955 | Williams of Bridehead | 9 February 1915 | |\n| 956 | Norman of Honeyhanger | 22 June 1915 | |\n| 957 | Bowden of the City of Nottingham | 23 June 1915 | |\n| 958 | Goschen of Beacon Lodge | 17 January 1916 | |\n| 959 | Russell of Littleworth Corner | 18 January 1916 | |\n| 960 | Jardine of Godalming | 20 January 1916 | |\n| 961 | Booth of Allerton Beeches | 24 January 1916 | |\n| 962 | Burbidge of Littleton Park | 25 January 1916 | |\n| 963 | Palmer of Grosvenor Crescent | 26 January 1916 | Baron Palmer |\n| 964 | Yarrow of Homestead | 29 January 1916 | |\n| 965 | Boyd of Howth House | 29 June 1916 | |\n| 966 | Twisleton-Wykeham-Fiennes of Banbury | 30 June 1916 | |\n| 967 | Borwick of Eden Lacy | 1 July 1916 | Baron Borwick |\n| 968 | Aitken of New Brunswick | 3 July 1916 | Baron Beaverbrook |\n| 969 | Devitt of Chelsea | 4 July 1916 | |\n| 970 | du Cros of Canons | 5 July 1916 | |\n| 971 | Dunlop of Woodbourne | 6 July 1916 | |\n| 972 | Moir of Whitehanger | 11 July 1916 | |\n| 973 | Ainsworth of Ardanaiseig | 12 January 1917 | |\n| 974 | Hill of Bradford | 13 January 1917 | |\n| 975 | Adam of Hankelow Court | 15 February 1917 | |\n| 977 | Dewey of South Hill Wood | 20 February 1917 | |\n| 978 | Elliott of Limpsfield | 21 June 1917 | |\n| 979 | Magnus of Tangley Hill | 22 June 1917 | |\n| 980 | Imbert-Terry of Strete Ralegh | 2 July 1917 | |\n| 981 | Clark of Dunlambert | 6 July 1917 | |\n| 982 | Gray of Tunstall Manor | 7 July 1917 | |\n| 983 | Vassar-Smith of Charlton Park | 10 July 1917 | |\n| 984 | Taylor, now Stuart Taylor of Kennington | 11 July 1917 | |\n| 985 | Remnant of Wenhaston | 14 July 1917 | Baron Remnant |\n| 986 | Stanier of Peplow Hall | 16 July 1917 | |\n| 989 | Lowe of Edgbaston | 30 January 1918 | |\n| 990 | Craig of Craigavon | 5 February 1918 | Viscount Craigavon |\n| 991 | Huntington-Whiteley of Grimley | 8 February 1918 | |\n| 992 | Leigh of Altrincham | 9 February 1918 | |\n| 993 | Stewart-Clark of Dundas | 12 February 1918 | |\n| 994 | Petrie of Carrowcarden | 20 June 1918 | |\n| 995 | Rhys-Williams of Miskin | 25 June 1918 | |\n| 996 | McAlpine of Knott Park | 2 July 1918 | |\n| 997 | Thomas of Garreglwyd | 5 July 1918 | |\n| 998 | Hanson of Fowey | 6 July 1918 | |\n| 999 | Bailey of Cradock | 12 February 1919 | |\n| 1000 | Chadwyck-Healey of Wyphurst and New Place | 6 May 1919 | |\n| 1001 | Thomas of Ynyshir | 10 May 1919 | |\n| 1002 | Marr of Sunderland | 12 May 1919 | |\n| 1003 | Cory of Coryton | 13 May 1919 | |\n| 1004 | Dixon of Astle | 15 May 1919 | |\n| 1005 | Garthwaite of Durham | 19 May 1919 | |\n| 1006 | Greenway of Stanbridge Earls | 20 May 1919 | Baron Greenway |\n| 1007 | Jones of Treeton | 23 May 1919 | |\n| 1008 | Latham of Crow Clump | 24 May 1919 | |\n| 1009 | Moore of Hancox | 28 May 1919 | |\n| 1010 | Rhodes of Hollingworth | 29 May 1919 | |\n| 1011 | Blaker of Brighton | 5 September 1919 | |\n| 1012 | Ryan of Hintlesham | 8 September 1919 | |\n| 1013 | Roberts of Eccleshall and Queens Tower | 9 September 1919 | |\n| 1014 | Brooke of Almondbury | 13 September 1919 | Dormant; 3rd Bt died 1983 |\n| 1015 | Brooksbank of Healaugh Manor | 15 September 1919 | |\n| 1016 | Child of Bromley Palace | 16 September 1919 | |\n| 1017 | Hall of Burton Park | 18 September 1919 | |\n| 1018 | Holden of The Firs | 19 September 1919 | |\n| 1019 | Joynson-Hicks of Holmbury | 20 September 1919 | Also Joynson-Hicks of Newick (1956); Viscount Brentford |\n| 1020 | Philipps of Llanstephan | 22 September 1919 | Baron Milford |\n| 1021 | Robertson of Welbourne | 4 October 1919 | Baron Robertson of Oakridge |\n| 1023 | Madden of Kells | 7 October 1919 | Unproven; 3rd Bt died 2006 |\n| 1024 | Trenchard of Wolfeton | 9 October 1919 | Viscount Trenchard |\n| 1025 | Keyes of Zeebrugge and Dover | 10 October 1919 | Baron Keyes |\n| 1026 | Tyrwhitt of Terschelling and Oxford | 13 December 1919 | |\n| 1027 | Ohlson of Scarborough | 24 January 1920 | |\n| 1028 | Cassel of Lincoln's Inn | 26 January 1920 | |\n| 1029 | Robinson, now Lynch-Robinson of Foxrock | 30 January 1920 | |\n| 1030 | Evans of Wightwick | 31 January 1920 | |\n| 1031 | Cunliffe-Owen of Bray | 2 February 1920 | |\n| 1032 | Dawson of Edgewarebury | 5 February 1920 | |\n| 1033 | Wheeler of Woodhouse Eaves | 7 February 1920 | |\n| 1034 | Wilson of Carbeth | 11 February 1920 | |\n| 1035 | Holderness of Tadworth | 16 February 1920 | |\n| 1036 | North of Southwell | 1 March 1920 | |\n| 1037 | Aykroyd of Lightcliffe | 16 June 1920 | |\n| 1038 | Frank of Withyham | 19 June 1920 | |\n| 1039 | Halsey of Gaddesden | 22 June 1920 | |\n| 1040 | Pease of Hummersknott | 25 June 1920 | |\n| 1041 | Sanderson of Malling Deanery | 26 June 1920 | |\n| 1042 | Sharp of Heckmondwike | 28 June 1920 | |\n| 1043 | Sleight of Weelsby Hall | 29 June 1920 | |\n| 1044 | Smith, now Reardon Smith of Appledore | 1 July 1920 | |\n| 1045 | Stott of Stanton | 3 July 1920 | |\n| 1046 | Touche of Westcott | 5 July 1920 | |\n| 1047 | Lucas-Tooth of Bught | 1 December 1920 | |\n| 1048 | Stewart of Balgownie | 10 December 1920 | |\n| 1049 | Bowen of Colworth | 10 January 1921 | |\n| 1050 | Holcroft of Eaton Mascott | 12 January 1921 | |\n| 1051 | Hewitt of Barnsley | 15 January 1921 | |\n| 1053 | Oppenheimer of Stoke Poges | 18 January 1921 | |\n| 1054 | Mills of Ebbw Vale | 21 January 1921 | |\n| 1056 | Hill-Wood of Moorfield | 25 January 1921 | |\n| 1057 | Burney of Preston House | 27 January 1921 | |\n| 1058 | Birkmyre of Dalmunzie | 29 January 1921 | |\n| 1059 | Hodge of Chipstead | 3 March 1921 | |\n| 1060 | Cotts of Coldharbour Wood | 15 June 1921 | |\n| 1061 | Sutherland of Dunstanburgh Castle | 16 June 1921 | |\n| 1062 | Sykes of Kingsknowes | 17 June 1921 | |\n| 1063 | Mount of Wasing | 21 June 1921 | |\n| 1064 | Renwick of Newminster Abbey | 22 June 1921 | |\n| 1065 | Lacy of Ampton | 23 June 1921 | |\n| 1066 | Vestey of Shirley | 27 June 1921 | |\n| 1067 | Beckett of Kirkdale Manor | 28 June 1921 | |\n| 1069 | Cain, now Nall-Cain of the Node | 1 July 1921 | Baron Brocket |\n| 1070 | Alexander of Edgehill, Stamford, Connecticut | 2 July 1921 | |\n| 1071 | Berry of Long Cross | 4 July 1921 | Unproven but under review; 3rd Bt died 2001 (3rd Viscount Camrose) (who had disclaimed the peerage in 1995) |\n| 1072 | Catto of Peterhead | 5 July 1921 | Baron Catto |\n| 1073 | Esplen of Hardres Court | 14 July 1921 | |\n| 1074 | Coates of Haypark | 15 July 1921 | |\n| 1076 | Grayson of Ravenspoint | 12 January 1922 | |\n| 1077 | Hood of Wimbledon | 16 July 1922 | Unproven; died 2005 (heir living) |\n| 1078 | Goodson of Waddeton Court | 18 January 1922 | |\n| 1080 | Aske of Aughton | 21 January 1922 | |\n| 1081 | Mountain of Oare Manor and Brendon | 23 January 1922 | |\n| 1082 | Reid of Springburn and Kilmaurs | 26 January 1922 | |\n| 1083 | Bird of Solihull | 27 January 1922 | |\n| 1084 | Butler of Old Park, Devizes | 28 January 1922 | |\n| 1085 | Llewellyn of Bwllfa | 31 January 1922 | |\n| 1086 | Norton-Griffiths of Wonham | 14 June 1922 | |\n| 1087 | Harrison of Eaglescliffe | 15 June 1922 | |\n| 1088 | Boles of Bishop's Lydeard | 17 June 1922 | |\n| 1089 | Black of Midgham | 19 June 1922 | |\n| 1090 | Harmsworth of Freshwater Grove | 21 June 1922 | Dormant; 2nd Bt died 1977 |\n| 1091 | Nuttall of Chasefield | 22 June 1922 | |\n| 1092 | Sharp of Warden Court | 23 June 1922 | |\n| 1093 | Moynihan of Carr Manor | 26 June 1922 | |\n| 1094 | White of Salle Park | 29 June 1922 | |\n| 1095 | Baddeley of Lakefield | 24 November 1922 | |\n| 1096 | Bull of Hammersmith | 25 November 1922 | |\n| 1097 | Pollock of Hanworth | 27 November 1922 | Viscount Hanworth |\n| 1098 | Brassey of Apethorpe | 29 November 1922 | Baron Brassey |\n| 1099 | Baden-Powell of Bentley | 4 December 1922 | Baron Baden-Powell |\n| 1100 | Henry of Cahore | 26 February 1923 | |\n| 1101 | Macready of Cheltenham | 1 March 1923 | |\n| 1102 | Hall of Grafham | 5 March 1923 | |\n| 1103 | Reynolds of Woolton | 6 March 1923 | |\n| 1104 | Burn, now Forbes-Leith of Fyvie of Jessfield | 7 March 1923 | |\n| 1105 | Kaye of Huddersfield | 8 March 1923 | |\n| 1106 | Horder of Shaston | 14 July 1923 | |\n| 1107 | Bowlby of Manchester Square | 17 July 1923 | |\n| 1108 | Wills of Blagdon | 19 July 1923 | |\n| 1109 | Dorman of Nunthorpe | 21 July 1923 | |\n| 1110 | Raeburn of Helensburgh | 25 July 1923 | |\n| 1111 | Noble of Ardkinglas | 25 July 1923 | |\n| 1112 | Chitty of the Temple | 25 January 1924 | |\n| 1113 | Richardson of Yellow Woods | 26 January 1924 | |\n| 1114 | Cayzer of Tylney | 29 January 1924 | Baron Rotherwick |\n| 1115 | Power of Newlands Manor | 1 February 1924 | |\n| 1116 | Beit of Tewin Water | 25 February 1924 | Dormant; 2nd Bt died 1994 |\n| 1117 | Hambling of Oxford | 27 February 1924 | |\n| 1118 | Croft of Knowle | 28 February 1924 | Baron Croft |\n| 1119 | MacLeod of Fuinary, Morven | 3 March 1924 | |\n| 1120 | Marsden of Grimsby | 4 March 1924 | |\n| 1121 | Newton of Beckenham | 27 October 1924 | |" + } + ] + }, + { + "id": "table_recognition_train_item_113759", + "image": "table_instructV/images/Rotowire_train_table_1222.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wizards | Washington | 106 | 38 | 22 | 22 | 24 | 26 | 46 | 13 | 52 | 60 | 27 | 22 | 26 | | | | |\n| 76ers | Philadelphia | 94 | 18 | 29 | 25 | 22 | 23 | 38 | 15 | 43 | 79 | 35 | 7 | 43 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| Bradley Beal | 32 | 22 | 3 | 2 | 10-16 | 63% | 0-2 | 0% | 2-2 | 100% | 1 | 1 | 0 | 2 | 1 | 0 | G | Washington |\n| Marcin Gortat | 34 | 21 | 13 | 3 | 10-16 | 63% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 1 | 4 | 9 | 5 | C | Washington |\n| John Wall | 33 | 18 | 13 | 10 | 7-13 | 54% | 3-5 | 60% | 1-2 | 50% | 2 | 3 | 1 | 0 | 13 | 1 | G | Washington |\n| Jared Dudley | 34 | 13 | 4 | 4 | 5-7 | 71% | 2-3 | 67% | 1-2 | 50% | 1 | 3 | 1 | 0 | 4 | 0 | F | Washington |\n| Gary Neal | 16 | 11 | 2 | 2 | 5-10 | 50% | 0-2 | 0% | 1-2 | 50% | 2 | 0 | 0 | 0 | 2 | 1 | N/A | Washington |\n| Garrett Temple | 30 | 8 | 0 | 1 | 2-3 | 67% | 0-1 | 0% | 4-6 | 67% | 0 | 1 | 0 | 0 | 0 | 3 | N/A | Washington |\n| Otto Porter | 25 | 5 | 4 | 1 | 2-8 | 25% | 1-5 | 20% | 0-0 | 0% | 1 | 1 | 1 | 2 | 2 | 1 | F | Washington |\n| Ramon Sessions | 15 | 4 | 3 | 3 | 1-4 | 25% | 0-2 | 0% | 2-2 | 100% | 0 | 2 | 0 | 1 | 2 | 1 | N/A | Washington |\n| Drew Gooden | 13 | 4 | 1 | 0 | 2-5 | 40% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Washington |\n| Jarell Eddie | 1 | 0 | 0 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Washington |\n| DeJuan Blair | 6 | 0 | 3 | 0 | 0-1 | 0% | 0-0 | 0% | 0-2 | 0% | 0 | 0 | 0 | 0 | 3 | 1 | N/A | Washington |\n| Kelly Oubre Jr. | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Washington |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Ish Smith | 32 | 22 | 5 | 5 | 11-25 | 44% | 0-2 | 0% | 0-0 | 0% | 3 | 2 | 1 | 0 | 5 | 1 | G | Philadelphia |\n| Isaiah Canaan | 32 | 18 | 3 | 3 | 5-12 | 42% | 4-8 | 50% | 4-4 | 100% | 1 | 3 | 0 | 0 | 3 | 1 | N/A | Philadelphia |\n| Nerlens Noel | 33 | 9 | 8 | 3 | 3-8 | 38% | 0-0 | 0% | 3-4 | 75% | 1 | 2 | 4 | 1 | 7 | 3 | F | Philadelphia |\n| Nik Stauskas | 28 | 9 | 4 | 2 | 3-6 | 50% | 3-5 | 60% | 0-0 | 0% | 1 | 3 | 0 | 0 | 4 | 3 | G | Philadelphia |\n| Jahlil Okafor | 21 | 9 | 4 | 0 | 4-11 | 36% | 0-0 | 0% | 1-1 | 100% | 0 | 1 | 0 | 2 | 2 | 5 | C | Philadelphia |\n| Jerami Grant | 27 | 9 | 5 | 5 | 3-5 | 60% | 1-1 | 100% | 2-4 | 50% | 0 | 2 | 2 | 2 | 3 | 3 | N/A | Philadelphia |\n| TJ McConnell | 18 | 9 | 2 | 4 | 4-6 | 67% | 1-1 | 100% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 1 | N/A | Philadelphia |\n| Hollis Thompson | 29 | 7 | 2 | 1 | 3-8 | 38% | 0-5 | 0% | 1-1 | 100% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Philadelphia |\n| Carl Landry | 2 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Philadelphia |\n| Robert Covington | 19 | 0 | 4 | 0 | 0-5 | 0% | 0-4 | 0% | 0-0 | 0% | 0 | 1 | 1 | 1 | 3 | 1 | F | Philadelphia |\n| Kendall Marshall | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Elton Brand | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| JaKarr Sampson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |" + } + ] + }, + { + "id": "table_recognition_train_item_117871", + "image": "table_instructV/images/Rotowire_train_table_3278.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Celtics | Boston | 95 | 25 | 23 | 28 | 19 | 20 | 45 | 15 | 44 | 86 | 26 | 0 | 3 | | | | |\n| Cavaliers | Cleveland | 103 | 31 | 25 | 28 | 19 | 17 | 45 | 11 | 45 | 63 | 41 | 3 | 0 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Evan Turner | 33 | 19 | 8 | 8 | 8-15 | 53% | 1-1 | 100% | 2-2 | 100% | 2 | 4 | 0 | 0 | 8 | 4 | F | Boston |\n| Avery Bradley | 33 | 18 | 4 | 0 | 7-18 | 39% | 1-6 | 17% | 3-3 | 100% | 1 | 1 | 0 | 1 | 3 | 2 | G | Boston |\n| Jae Crowder | 31 | 16 | 7 | 4 | 5-6 | 83% | 2-3 | 67% | 4-5 | 80% | 2 | 4 | 2 | 2 | 5 | 5 | N/A | Boston |\n| Jared Sullinger | 17 | 10 | 8 | 0 | 4-6 | 67% | 0-1 | 0% | 2-2 | 100% | 0 | 2 | 1 | 2 | 6 | 3 | N/A | Boston |\n| Tyler Zeller | 28 | 9 | 6 | 0 | 3-9 | 33% | 0-0 | 0% | 3-3 | 100% | 0 | 0 | 0 | 0 | 6 | 1 | C | Boston |\n| Marcus Smart | 18 | 8 | 2 | 1 | 2-6 | 33% | 1-3 | 33% | 3-4 | 75% | 0 | 1 | 0 | 1 | 1 | 2 | G | Boston |\n| Isaiah Thomas | 21 | 5 | 1 | 2 | 2-9 | 22% | 0-3 | 0% | 1-2 | 50% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Boston |\n| Jonas Jerebko | 25 | 4 | 7 | 0 | 2-7 | 29% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 1 | 3 | 4 | 2 | N/A | Boston |\n| Brandon Bass | 22 | 4 | 2 | 3 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 2 | 0 | F | Boston |\n| Gigi Datome | 9 | 2 | 0 | 1 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Boston |\n| Kelly Olynyk | 3 | 0 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Boston |\n| Phil Pressey | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Gerald Wallace | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Cavaliers | | | | | | | | | | | | | | | | | | |\n| LeBron James | 42 | 31 | 11 | 4 | 13-26 | 50% | 1-5 | 20% | 4-5 | 80% | 4 | 2 | 2 | 1 | 10 | 1 | F | Cleveland |\n| Kevin Love | 37 | 23 | 9 | 3 | 8-16 | 50% | 6-10 | 60% | 1-4 | 25% | 0 | 1 | 0 | 2 | 7 | 3 | F | Cleveland |\n| JR Smith | 38 | 15 | 5 | 2 | 6-12 | 50% | 3-8 | 38% | 0-0 | 0% | 2 | 0 | 0 | 2 | 3 | 3 | G | Cleveland |\n| Kyrie Irving | 40 | 13 | 1 | 6 | 3-11 | 27% | 2-3 | 67% | 5-6 | 83% | 2 | 2 | 1 | 0 | 1 | 2 | G | Cleveland |\n| Tristan Thompson | 28 | 12 | 7 | 0 | 4-7 | 57% | 0-0 | 0% | 4-8 | 50% | 0 | 1 | 2 | 5 | 2 | 5 | N/A | Cleveland |\n| Timofey Mozgov | 19 | 5 | 6 | 0 | 2-4 | 50% | 0-0 | 0% | 1-1 | 100% | 0 | 4 | 1 | 1 | 5 | 1 | C | Cleveland |\n| Iman Shumpert | 21 | 4 | 1 | 1 | 2-4 | 50% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 1 | 0 | 1 | 1 | N/A | Cleveland |\n| Matthew Dellavedova | 10 | 0 | 3 | 1 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 1 | N/A | Cleveland |\n| James Jones | 4 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Cleveland |\n| Brendan Haywood | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Mike Miller | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Shawn Marion | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Kendrick Perkins | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |" + } + ] + }, + { + "id": "table_recognition_train_item_30911", + "image": "table_instructV/images/TABMWP_2006.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| | Velvet | Suede |\n| --- | --- | --- |\n| Foam | 3 | 5 |\n| Beads | 5 | 5 |" + } + ] + }, + { + "id": "table_recognition_train_item_64746", + "image": "table_instructV/images/TabFact_2-1235947-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| season | series | team | races | wins | podiums |\n| --- | --- | --- | --- | --- | --- |\n| 1979 | formula ford 1600 germany | walter lechner racing school | 1 | 0 | 1 |\n| 1980 | formula ford 1600 germany | walter lechner racing school | 12 | 8 | 9 |\n| 1981 | german formula three championship | bertram sch채fer racing | 9 | 3 | 6 |\n| 1981 | formula ford 1600 germany | walter lechner racing school | 10 | 5 | 8 |\n| 1981 | formula ford 2000 germany | walter lechner racing school | 2 | 0 | 0 |\n| 1981 | formula ford festival | walter lechner racing school | 1 | 0 | 0 |\n| 1981 | vw castrol europa pokal | walter lechner racing school | 3 | 1 | 2 |\n| 1982 | european formula two championship | maurer motorsport | 13 | 2 | 4 |\n| 1982 | world endurance championship | kremer racing | 1 | 0 | 0 |\n| 1982 | deutsche rennsport meisterschaft | kremer racing | 1 | 0 | 0 |\n| 1983 | european formula two championship | maurer motorsport | 8 | 0 | 1 |\n| 1983 | world endurance championship | rothmans porsche | 6 | 3 | 4 |\n| 1983 | european endurance championship | rothmans porsche | 1 | 0 | 1 |\n| 1983 | all japan sports prototype championship | rothmans porsche | 1 | 1 | 1 |\n| 1983 | norisring troph채e | rothmans porsche | 1 | 1 | 1 |\n| 1984 | world endurance championship | rothmans porsche | 9 | 6 | 6 |\n| 1984 | world endurance championship | brun motorsport | 9 | 6 | 6 |\n| 1984 | formula one | tyrrell racing organisation | 11 | 0 | 0 |\n| 1984 | all japan sports prototype championship | rothmans porsche | 1 | 1 | 1 |\n| 1984 | deutsche rennsport meisterschaft | brun motorsport | 5 | 3 | 3 |\n| 1984 | norisring troph채e | brun motorsport | 1 | 0 | 1 |\n| 1985 | world endurance championship | brun motorsport | 4 | 0 | 1 |\n| 1985 | deutsche rennsport meisterschaft | brun motorsport | 1 | 1 | 1 |\n| 1985 | norisring troph채e | brun motorsport | 1 | 0 | 0 |\n| 1985 | formula one | tyrrell racing organisation | 9 | 0 | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_106550", + "image": "table_instructV/images/ToTTo_train_table_27535.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Year | Album | US Country | Label |\n| --- | --- | --- | --- |\n| 1984 | Building Bridges | 47 | Atlantic America |" + } + ] + }, + { + "id": "table_recognition_train_item_53176", + "image": "table_instructV/images/TabFact_2-13827238-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| album | english title | chinese title | released | label |\n| --- | --- | --- | --- | --- |\n| 1st | 1986 | 1986 | 27 july 2001 | rock records |\n| 2nd | be used to | 習慣 | 27 october 2006 | rock records |\n| 3rd | oxygenie of happiness | 幸福氧氣 | 26 october 2007 | rock records |\n| 4th | my favorite kind of geniie | 超級喜歡 | 7 november 2008 | rock records |\n| 5th | just the way i am | 反正 卓文萱 | 4 november 2011 | rock records |" + } + ] + }, + { + "id": "table_recognition_train_item_32978", + "image": "table_instructV/images/TABMWP_24451.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | Poetry | Student council |\n| --- | --- | --- |\n| Math | 4 | 1 |\n| Literature | 6 | 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_116909", + "image": "table_instructV/images/Rotowire_train_table_2797.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Celtics | Boston | 95 | 19 | 27 | 27 | 22 | 24 | 50 | 14 | 38 | 87 | 22 | 39 | 42 | | | | |\n| Raptors | Toronto | 93 | 26 | 27 | 17 | 23 | 17 | 43 | 18 | 44 | 70 | 38 | 48 | 33 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Evan Turner | 31 | 14 | 7 | 9 | 7-14 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 7 | 1 | 1 | 6 | 2 | F | Boston |\n| Avery Bradley | 21 | 14 | 3 | 2 | 5-11 | 46% | 1-5 | 20% | 3-3 | 100% | 0 | 3 | 1 | 0 | 3 | 2 | G | Boston |\n| Brandon Bass | 28 | 13 | 9 | 1 | 4-11 | 36% | 0-1 | 0% | 5-5 | 100% | 0 | 0 | 0 | 4 | 5 | 0 | F | Boston |\n| Tyler Zeller | 26 | 12 | 8 | 1 | 5-11 | 46% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 1 | 4 | 4 | 2 | C | Boston |\n| Isaiah Thomas | 27 | 11 | 1 | 6 | 4-13 | 31% | 3-8 | 38% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Boston |\n| Jae Crowder | 21 | 9 | 4 | 0 | 4-9 | 44% | 0-4 | 0% | 1-1 | 100% | 2 | 1 | 0 | 1 | 3 | 0 | N/A | Boston |\n| Marcus Smart | 30 | 9 | 5 | 3 | 4-12 | 33% | 1-4 | 25% | 0-0 | 0% | 1 | 1 | 2 | 3 | 2 | 2 | G | Boston |\n| Jonas Jerebko | 17 | 4 | 7 | 1 | 2-5 | 40% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 2 | 5 | 3 | N/A | Boston |\n| Jared Sullinger | 14 | 4 | 2 | 1 | 1-4 | 25% | 0-1 | 0% | 2-2 | 100% | 0 | 0 | 1 | 1 | 1 | 3 | N/A | Boston |\n| Kelly Olynyk | 13 | 3 | 4 | 0 | 1-4 | 25% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 1 | 3 | 4 | N/A | Boston |\n| Phil Pressey | 5 | 2 | 0 | 0 | 1-3 | 33% | 0-1 | 0% | 0-2 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Boston |\n| Gigi Datome | 6 | 0 | 0 | 0 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Boston |\n| Gerald Wallace | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| Lou Williams | 31 | 16 | 5 | 3 | 3-13 | 23% | 0-4 | 0% | 10-11 | 91% | 1 | 4 | 1 | 1 | 4 | 1 | N/A | Toronto |\n| Kyle Lowry | 35 | 16 | 6 | 4 | 6-20 | 30% | 2-4 | 50% | 2-4 | 50% | 1 | 2 | 0 | 1 | 5 | 3 | G | Toronto |\n| Terrence Ross | 28 | 12 | 3 | 0 | 5-13 | 39% | 2-6 | 33% | 0-0 | 0% | 2 | 2 | 2 | 0 | 3 | 1 | F | Toronto |\n| Greivis Vasquez | 32 | 11 | 5 | 7 | 4-7 | 57% | 3-6 | 50% | 0-0 | 0% | 1 | 1 | 0 | 0 | 5 | 1 | G | Toronto |\n| Jonas Valanciunas | 29 | 10 | 8 | 0 | 4-8 | 50% | 0-0 | 0% | 2-4 | 50% | 1 | 4 | 2 | 2 | 6 | 4 | C | Toronto |\n| Patrick Patterson | 27 | 10 | 1 | 0 | 4-7 | 57% | 2-3 | 67% | 0-1 | 0% | 0 | 2 | 1 | 0 | 1 | 1 | N/A | Toronto |\n| James Johnson | 19 | 10 | 1 | 1 | 5-6 | 83% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 1 | 0 | 1 | 3 | N/A | Toronto |\n| Amir Johnson | 16 | 8 | 8 | 2 | 4-5 | 80% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 2 | 2 | 6 | 2 | N/A | Toronto |\n| Tyler Hansbrough | 23 | 0 | 6 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 2 | 0 | 0 | 1 | 5 | 2 | F | Toronto |\n| DeMar DeRozan | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Charles Hayes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Landry Fields | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Greg Stiemsma | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |" + } + ] + }, + { + "id": "table_recognition_train_item_55282", + "image": "table_instructV/images/TabFact_2-12703884-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| region | date | label | format | catalog |\n| --- | --- | --- | --- | --- |\n| japan | april 25 , 1984 | alfa records | stereo lp | alr - 28055 |\n| japan | may 25 , 1984 | alfa records | cd | 38xa - 12 |\n| japan | january 25 , 1987 | alfa records | cd | 32xa - 116 |\n| japan | march 21 , 1992 | alfa records | cd | alca - 281 |\n| japan | august 31 , 1994 | alfa records | cd | alca - 9011 |\n| japan | august 29 , 1998 | alfa records | cd | alca - 9206 |\n| japan | december 6 , 2000 | toshiba emi | cd | toct - 10752 |\n| japan | january 23 , 2002 | village records | ed remaster cd | vrcl - 2211 |\n| japan | february 14 , 2002 | village records | ed remaster cd | vrcl - 2231 |\n| japan | may 27 , 2009 | sony music direct | ed remaster cd | mhcl - 20013 |" + } + ] + }, + { + "id": "table_recognition_train_item_32771", + "image": "table_instructV/images/TABMWP_21928.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Number of tool boxes | Number of tape measures |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | 20 |\n| 5 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_60286", + "image": "table_instructV/images/TabFact_2-11775918-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| date | visitor | score | home | decision | attendance | record |\n| --- | --- | --- | --- | --- | --- | --- |\n| february 2 | minnesota | 4 - 1 | columbus | norrena | 18529 | 25 - 23 - 6 |\n| february 5 | washington | 4 - 3 | columbus | norrena | 14450 | 25 - 23 - 7 |\n| february 7 | columbus | 2 - 1 | phoenix | norrena | 13918 | 26 - 23 - 7 |\n| february 8 | columbus | 1 - 2 | san jose | norrena | 17210 | 26 - 23 - 8 |\n| february 10 | los angeles | 3 - 2 | columbus | leclaire | 15823 | 26 - 23 - 9 |\n| february 13 | chicago | 7 - 2 | columbus | norrena | 14918 | 26 - 24 - 9 |\n| february 15 | columbus | 5 - 1 | detroit | leclaire | 20066 | 27 - 24 - 9 |\n| february 17 | columbus | 1 - 5 | st louis | leclaire | 19150 | 27 - 25 - 9 |\n| february 19 | columbus | 1 - 3 | toronto | leclaire | 19347 | 27 - 26 - 9 |\n| february 21 | columbus | 3 - 2 | ottawa | leclaire | 19612 | 28 - 26 - 9 |\n| february 23 | columbus | 3 - 0 | montreal | leclaire | 21273 | 29 - 26 - 9 |\n| february 27 | san jose | 4 - 2 | columbus | leclaire | 16029 | 29 - 27 - 9 |\n| february 29 | columbus | 3 - 2 | vancouver | leclaire | 18630 | 30 - 27 - 9 |" + } + ] + }, + { + "id": "table_recognition_train_item_56014", + "image": "table_instructV/images/TabFact_2-11921956-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| date | tournament | surface | opponent in the final | score |\n| --- | --- | --- | --- | --- |\n| september 12 , 1993 | varna , bulgaria | clay | antoaneta pandjerova | 6 - 2 , 3 - 6 , 6 - 2 |\n| january 30 , 1994 | austin , texas , united states | hard | tatiana panova | 6 - 4 , 6 - 7 (9) , 7 - 6 (6) |\n| june 19 , 1994 | maribor , slovenia | clay | zdeňka málková | 6 - 1 , 6 - 7 (6) , 6 - 3 |\n| july 3 , 1994 | vaihingen , germany | clay | svetlana komleva | 6 - 3 , 7 - 6 (5) |\n| june 11 , 1995 | novi sad , yugoslavia | clay | andrea glass | 7 - 6 (4) , 6 - 1 |\n| august 6 , 1995 | budapest , hungary | clay | barbara mulej | 6 - 3 , 6 - 2 |" + } + ] + }, + { + "id": "table_recognition_train_item_49846", + "image": "table_instructV/images/TAT-QA_4634dc97-de5f-4df5-9214-666e124d018a.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Contractual obligations by period as of June 30, 2019 | Less than 1 year | 1-3 years | 3-5 years | More than 5 years | TOTAL |\n| --- | --- | --- | --- | --- | --- |\n| Operating lease obligations | $15,559 | $25,399 | $19,004 | $11,671 | $71,633 |\n| Purchase obligations | 62,637 | 86,875 | 107,188 | 336,774 | 593,474 |\n| Total | $78,196 | $112,274 | $126,192 | $348,445 | $665,107 |" + } + ] + }, + { + "id": "table_recognition_train_item_114603", + "image": "table_instructV/images/Rotowire_train_table_1644.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wizards | Washington | 110 | 28 | 31 | 16 | 21 | 25 | 72 | 16 | 39 | 59 | 36 | 41 | 32 | | | | |\n| Hornets | Charlotte | 107 | 19 | 35 | 25 | 17 | 25 | 61 | 11 | 35 | 77 | 32 | 30 | 41 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| John Wall | 48 | 32 | 9 | 6 | 12-30 | 40% | 2-4 | 50% | 6-8 | 75% | 2 | 6 | 0 | 0 | 9 | 4 | G | Washington |\n| Bradley Beal | 43 | 16 | 6 | 6 | 7-18 | 39% | 2-3 | 67% | 0-0 | 0% | 3 | 5 | 0 | 2 | 4 | 2 | G | Washington |\n| Drew Gooden | 39 | 15 | 17 | 4 | 5-11 | 46% | 3-4 | 75% | 2-2 | 100% | 1 | 1 | 0 | 5 | 12 | 1 | N/A | Washington |\n| Rasual Butler | 26 | 10 | 4 | 0 | 4-10 | 40% | 2-4 | 50% | 0-0 | 0% | 0 | 0 | 1 | 1 | 3 | 4 | N/A | Washington |\n| Nene | 20 | 10 | 5 | 0 | 5-9 | 56% | 0-0 | 0% | 0-2 | 0% | 0 | 2 | 0 | 1 | 4 | 2 | F | Washington |\n| Ramon Sessions | 19 | 9 | 7 | 3 | 4-7 | 57% | 0-1 | 0% | 1-2 | 50% | 0 | 1 | 0 | 1 | 6 | 2 | N/A | Washington |\n| Marcin Gortat | 44 | 8 | 16 | 3 | 4-9 | 44% | 0-0 | 0% | 0-0 | 0% | 3 | 0 | 4 | 5 | 11 | 5 | C | Washington |\n| Paul Pierce | 23 | 6 | 4 | 2 | 2-9 | 22% | 0-6 | 0% | 2-4 | 50% | 0 | 0 | 3 | 1 | 3 | 2 | F | Washington |\n| Kevin Seraphin | 13 | 2 | 4 | 0 | 1-5 | 20% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 1 | 3 | 3 | N/A | Washington |\n| Martell Webster | 12 | 2 | 0 | 0 | 0-4 | 0% | 0-3 | 0% | 2-4 | 50% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Washington |\n| Will Bynum | 3 | 0 | 0 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Washington |\n| DeJuan Blair | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Otto Porter | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Al Jefferson | 40 | 31 | 10 | 0 | 14-24 | 58% | 0-1 | 0% | 3-3 | 100% | 0 | 0 | 0 | 3 | 7 | 4 | C | Charlotte |\n| Mo Williams | 41 | 26 | 9 | 10 | 8-26 | 31% | 4-10 | 40% | 6-7 | 86% | 2 | 4 | 2 | 1 | 8 | 4 | N/A | Charlotte |\n| Michael Kidd-Gilchrist | 23 | 11 | 8 | 0 | 4-11 | 36% | 0-0 | 0% | 3-4 | 75% | 1 | 1 | 1 | 2 | 6 | 1 | F | Charlotte |\n| Gerald Henderson | 40 | 11 | 14 | 2 | 3-8 | 38% | 1-2 | 50% | 4-4 | 100% | 1 | 1 | 1 | 1 | 13 | 1 | G | Charlotte |\n| Kemba Walker | 46 | 9 | 1 | 10 | 3-17 | 18% | 1-4 | 25% | 2-2 | 100% | 3 | 2 | 2 | 0 | 1 | 0 | G | Charlotte |\n| PJ Hairston | 11 | 8 | 2 | 0 | 1-3 | 33% | 1-3 | 33% | 5-6 | 83% | 0 | 0 | 0 | 1 | 1 | 1 | N/A | Charlotte |\n| Marvin Williams | 44 | 5 | 10 | 2 | 2-7 | 29% | 1-5 | 20% | 0-0 | 0% | 1 | 0 | 1 | 0 | 10 | 1 | F | Charlotte |\n| Bismack Biyombo | 18 | 3 | 5 | 0 | 0-3 | 0% | 0-0 | 0% | 3-4 | 75% | 1 | 2 | 4 | 2 | 3 | 1 | N/A | Charlotte |\n| Lance Stephenson | 12 | 2 | 0 | 1 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 0 | 1 | N/A | Charlotte |\n| Jeff Taylor | 1 | 1 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Charlotte |\n| Jason Maxiell | 14 | 0 | 2 | 0 | 0-2 | 0% | 0-0 | 0% | 0-3 | 0% | 1 | 0 | 0 | 0 | 2 | 3 | N/A | Charlotte |\n| Brian Roberts | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Noah Vonleh | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |" + } + ] + }, + { + "id": "table_recognition_train_item_53268", + "image": "table_instructV/images/TabFact_2-15817998-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| pick | cfl team | player | position | college |\n| --- | --- | --- | --- | --- |\n| 9 | saskatchewan roughriders | jason french | wr | murray state |\n| 10 | calgary stampeders | lawrence deck | db | fresno state |\n| 11 | montreal alouettes | pat woodcock | wr | syracuse |\n| 12 | hamilton tiger - cats | karim grant | lb | acadia |\n| 13 | edmonton eskimos | fabian burke | cb | toledo |\n| 14 | calgary stampeders | duncan o'mahony | k | british columbia |\n| 15 | montreal alouettes | jesse palmer | qb | florida |\n| 16 | bc lions | jamie boreham | k / s | manitoba |" + } + ] + }, + { + "id": "table_recognition_train_item_48754", + "image": "table_instructV/images/TAT-QA_ae3cbef3-f02b-4833-ba73-abb7590dc495.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Financial Assets | As of December 31, | |\n| --- | --- | --- |\n| | 2018 | 2019 |\n| | NT$ | NT$ |\n| | (In Thousands) | (In Thousands) |\n| Financial assets at fair value through profit or loss | $12,084,297 | $14,021,473 |\n| Financial assets at fair value through other comprehensive income | 11,585,477 | 14,723,232 |\n| Financial assets measured at amortized cost | | |\n| Cash and cash equivalents (excludes cash on hand) | 83,655,648 | 95,486,403 |\n| Receivables | 24,583,451 | 26,459,392 |\n| Refundable deposits | 2,757,399 | 2,600,733 |\n| Other financial assets | 2,320,037 | 2,353,066 |\n| Total | $136,986,309 | $155,644,299 |\n| Financial Liabilities | As of December 31, | |\n| | 2018 | 2019 |\n| | NT$ | NT$ |\n| | (In Thousands) | (In Thousands) |\n| Financial liabilities measured at amortized cost | | |\n| Short-term loans | $13,103,808 | $12,015,206 |\n| Payables | 23,559,548 | 27,433,065 |\n| Guarantee deposits (current portion included) | 665,793 | 296,694 |\n| Bonds payable (current portion included) | 41,378,182 | 38,781,416 |\n| Long-term loans (current portion included) | 30,826,215 | 33,902,074 |\n| Lease liabilities (Note) | — | 6,031,025 |\n| Other financial liabilities | 20,523,099 | 20,093,441 |\n| Total | $130,056,645 | $138,552,921 |" + } + ] + }, + { + "id": "table_recognition_train_item_65822", + "image": "table_instructV/images/TabFact_2-18119901-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| season | team | country | league | level | apps | goals |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2006 | irtysh | kazakhstan | premier league | 1 | 27 | 2 |\n| 2007 | irtysh | kazakhstan | premier league | 1 | 17 | 1 |\n| 2008 | tobol | kazakhstan | premier league | 1 | 25 | 3 |\n| 2009 | tobol | kazakhstan | premier league | 1 | 22 | 1 |\n| 2010 | kairat | kazakhstan | premier league | 1 | 15 | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_107868", + "image": "table_instructV/images/ToTTo_train_table_32996.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| 2017 Rank | City | 2017 Estimate | 2010 Census | Change | County |\n| --- | --- | --- | --- | --- | --- |\n| 1 | Sioux Falls † | 176,888 | 153,888 | +14.95% | Minnehaha Lincoln |\n| 2 | Rapid City † | 74,421 | 67,956 | +9.51% | Pennington |\n| 3 | Aberdeen † | 28,388 | 26,091 | +8.80% | Brown |\n| 4 | Brookings † | 23,938 | 22,056 | +8.53% | Brookings |\n| 5 | Watertown † | 22,222 | 21,482 | +3.44% | Codington |\n| 6 | Mitchell † | 15,603 | 15,254 | +2.29% | Davison |\n| 7 | Yankton † | 14,516 | 14,454 | +0.43% | Yankton |\n| 8 | Pierre ‡ | 14,004 | 13,646 | +2.62% | Hughes |\n| 9 | Huron † | 13,118 | 12,592 | +4.18% | Beadle |\n| 10 | Spearfish | 11,609 | 10,494 | +10.63% | Lawrence |\n| 11 | Vermillion † | 10,772 | 10,571 | +1.90% | Clay |\n| 12 | Brandon | 9,957 | 8,785 | +13.34% | Minnehaha |\n| 13 | Box Elder | 9,498 | 7,800 | +21.77% | Pennington Meade |\n| 14 | Madison † | 7,322 | 6,474 | +13.10% | Lake |\n| 15 | Sturgis † | 6,908 | 6,627 | +4.24% | Meade |\n| 16 | Harrisburg | 5,968 | 4,089 | +45.95% | Lincoln |\n| 17 | Belle Fourche † | 5,553 | 5,594 | −0.73% | Butte |\n| 18 | Tea | 5,448 | 3,806 | +43.14% | Lincoln |\n| 19 | Dell Rapids | 3,652 | 3,633 | +0.52% | Minnehaha |\n| 20 | Mobridge | 3,520 | 3,465 | +1.59% | Walworth |\n| 21 | Hot Springs † | 3,460 | 3,711 | −6.76% | Fall River |\n| 22 | Canton † | 3,430 | 3,057 | +12.20% | Lincoln |\n| 23 | Hartford | 3,237 | 2,534 | +27.74% | Minnehaha |\n| 24 | Milbank † | 3,133 | 3,353 | −6.56% | Grant |\n| 25 | Lead | 2,978 | 3,124 | −4.67% | Lawrence |\n| 26 | Winner † | 2,844 | 2,897 | −1.83% | Tripp |\n| 27 | North Sioux City | 2,784 | 2,530 | +10.04% | Union |\n| 28 | Summerset | 2,566 | 1,814 | +41.46% | Meade |\n| 29 | Sisseton † | 2,402 | 2,470 | −2.75% | Roberts |\n| 30 | Chamberlain † | 2,389 | 2,387 | +0.08% | Brule |\n| 31 | Lennox | 2,386 | 2,111 | +13.03% | Lincoln |\n| 32 | Flandreau † | 2,333 | 2,341 | −0.34% | Moody |\n| 33 | Redfield † | 2,295 | 2,333 | −1.63% | Spink |\n| 34 | Fort Pierre † | 2,150 | 2,078 | +3.46% | Stanley |\n| 35 | Beresford | 1,953 | 2,005 | −2.59% | Union Lincoln |\n| 36 | Springfield | 1,942 | 1,989 | −2.36% | Bon Homme |\n| 37-(T) | Custer † | 1,932 | 2,067 | −6.53% | Custer |\n| 37-(T) | Volga | 1,932 | 1,768 | +9.28% | Brookings |\n| 39 | Elk Point † | 1,828 | 1,963 | −6.88% | Union |\n| 40 | Webster † | 1,773 | 1,886 | −5.99% | Day |\n| 41 | Wagner | 1,587 | 1,566 | +1.34% | Charles Mix |\n| 42 | Groton | 1,507 | 1,458 | +3.36% | Brown |\n| 43 | Parkston | 1,497 | 1,508 | −0.73% | Hutchinson |\n| 44 | Miller † | 1,376 | 1,489 | −7.59% | Hand |\n| 45 | Eagle Butte | 1,345 | 1,318 | +2.05% | Dewey Ziebach |\n| 46 | Crooks | 1,318 | 1,269 | +3.86% | Minnehaha |\n| 47 | Deadwood † | 1,304 | 1,270 | +2.68% | Lawrence |\n| 48 | Freeman | 1,289 | 1,306 | −1.30% | Hutchinson |\n| 49 | Salem † | 1,277 | 1,347 | −5.20% | McCook |\n| 50 | Platte | 1,272 | 1,230 | +3.41% | Charles Mix |\n| 51 | Gregory | 1,255 | 1,295 | −3.09% | Gregory |\n| 52 | Britton † | 1,249 | 1,241 | +0.64% | Marshall |\n| 53 | Mission | 1,242 | 1,183 | +4.99% | Todd |\n| 54 | Clear Lake † | 1,241 | 1,273 | −2.51% | Deuel |\n| 55 | Lemmon | 1,213 | 1,227 | −1.14% | Perkins |\n| 56 | Garretson | 1,172 | 1,166 | +0.51% | Minnehaha |\n| 57 | Baltic | 1,171 | 1,089 | +7.53% | Minnehaha |\n| 58 | Gettysburg † | 1,116 | 1,162 | −3.96% | Potter |\n| 59-(T) | De Smet † | 1,067 | 1,089 | −2.02% | Kingsbury |\n| 59-(T) | Martin † | 1,067 | 1,071 | −0.37% | Bennett |\n| 61 | Clark † | 1,047 | 1,139 | −8.08% | Clark |\n| 62 | Tyndall † | 1,044 | 1,067 | −2.16% | Bon Homme |\n| 63-(T) | Hill City | 1,008 | 948 | +6.33% | Pennington |\n| 63-(T) | Parker † | 1,008 | 1,022 | −1.37% | Turner |\n| 65 | Worthing | 978 | 877 | +11.52% | Lincoln |\n| 66 | Whitewood | 947 | 927 | +2.16% | Lawrence |\n| 67 | Ipswich † | 926 | 954 | −2.94% | Edmunds |\n| 68 | Wessington Springs † | 921 | 956 | −3.66% | Jerauld |\n| 69 | Wall | 872 | 766 | +13.84% | Pennington |\n| 70 | Centerville | 870 | 882 | −1.36% | Turner |\n| 71 | Arlington | 862 | 915 | −5.79% | Kingsbury Brookings |\n| 72 | Piedmont | 848 | 222 | +281.98% | Meade |\n| 73 | Eureka | 840 | 868 | −3.23% | McPherson |\n| 74 | Lake Andes † | 837 | 879 | −4.78% | Charles Mix |\n| 75 | Scotland | 817 | 841 | −2.85% | Bon Homme |\n| 76 | Philip † | 784 | 779 | +0.64% | Haakon |\n| 77 | Marion | 771 | 784 | −1.66% | Turner |\n| 78 | Viborg | 770 | 782 | −1.53% | Turner |\n| 79 | Howard † | 867 | 858 | +1.05% | Miner |\n| 80 | Valley Springs | 747 | 759 | −1.58% | Minnehaha |\n| 81 | Highmore † | 738 | 795 | −7.17% | Hyde |\n| 82 | Alcester | 737 | 807 | −8.67% | Union |\n| 83 | Estelline | 736 | 768 | −4.17% | Hamlin |\n| 84 | Faulkton † | 725 | 736 | −1.49% | Faulk |\n| 85 | Plankinton † | 720 | 707 | +1.84% | Aurora |\n| 86 | Elkton | 712 | 736 | −3.26% | Brookings |\n| 87 | Edgemont | 711 | 774 | −8.14% | Fall River |\n| 88 | Kadoka † | 704 | 654 | +7.65% | Jackson |\n| 89 | Aurora | 691 | 532 | +29.89% | Brookings |\n| 90-(T) | Kimball | 680 | 703 | −3.27% | Brule |\n| 90-(T) | Woonsocket † | 680 | 655 | +3.82% | Sanborn |\n| 92 | McLaughlin | 679 | 663 | +2.41% | Corson |\n| 93 | Colton | 676 | 687 | −1.60% | Minnehaha |\n| 94 | Armour † | 669 | 699 | −4.29% | Douglas |\n| 95 | New Underwood | 665 | 660 | +0.76% | Pennington |\n| 96 | Onida † | 650 | 658 | −1.22% | Sully |\n| 97 | Selby † | 643 | 642 | +0.16% | Walworth |\n| 98 | Alexandria † | 635 | 615 | +3.25% | Hanson |\n| 99 | Tripp | 632 | 647 | −2.32% | Hutchinson |\n| 100 | Castlewood | 626 | 627 | −0.16% | Hamlin |\n| 101 | Canistota | 622 | 656 | −5.18% | McCook |\n| 102 | Menno | 616 | 608 | +1.32% | Hutchinson |\n| 103 | Avon | 596 | 590 | +1.02% | Bon Homme |\n| 104 | Burke † | 588 | 604 | −2.65% | Gregory |\n| 105 | White River † | 586 | 581 | +0.86% | Mellette |\n| 106 | Colman | 585 | 594 | −1.52% | Moody |\n| 107-(T) | Corsica | 580 | 592 | −2.03% | Douglas |\n| 107-(T) | Newell | 580 | 603 | −3.81% | Butte |\n| 109 | Humboldt | 574 | 589 | −2.55% | Minnehaha |\n| 110 | St. Francis | 568 | 709 | −19.89% | Todd |\n| 111 | Waubay | 567 | 576 | −1.56% | Day |\n| 112 | Lake Preston | 559 | 599 | −6.68% | Kingsbury |\n| 113 | Veblen | 524 | 531 | −1.32% | Marshall |\n| 114 | Dupree † | 519 | 525 | −1.14% | Ziebach |\n| 115 | Presho | 512 | 497 | +3.02% | Lyman |\n| 116-(T) | Jefferson | 502 | 547 | −8.23% | Union |\n| 116-(T) | Wilmot | 502 | 492 | +2.03% | Roberts |\n| 118 | Timber Lake † | 494 | 443 | +11.51% | Dewey |\n| 119 | White | 487 | 485 | +0.41% | Brookings |\n| 120 | Bowdle | 485 | 502 | −3.39% | Edmunds |\n| 121 | Warner | 480 | 457 | +5.03% | Brown |\n| 122 | Oacoma | 478 | 451 | +5.99% | Lyman |\n| 123 | Lake Norden | 476 | 467 | +1.93% | Hamlin |\n| 124 | Bridgewater | 462 | 492 | −6.10% | McCook |\n| 125 | Big Stone City | 457 | 467 | −2.14% | Grant |\n| 126 | Emery | 455 | 447 | +1.79% | Hanson |\n| 127 | Murdo † | 452 | 488 | −7.38% | Jones |\n| 128 | Bryant | 446 | 456 | −2.19% | Hamlin |\n| 129 | Montrose | 442 | 463 | −4.54% | McCook |\n| 130 | Leola † | 439 | 457 | −3.94% | McPherson |\n| 131 | Mount Vernon | 437 | 462 | −5.41% | Davison |\n| 132 | Rosholt | 424 | 423 | +0.24% | Roberts |\n| 133 | Herreid | 418 | 438 | −4.57% | Campbell |\n| 134 | Faith | 417 | 421 | −0.95% | Meade |\n| 135 | Irene | 411 | 420 | −2.14% | Clay Turner Yankton |\n| 136 | Tabor | 409 | 423 | −3.31% | Bon Homme |\n| 137-(T) | Gayville | 401 | 407 | −1.47% | Yankton |\n| 137-(T) | Hurley | 401 | 415 | −3.37% | Turner |\n| 139-(T) | Hermosa | 397 | 398 | −0.25% | Custer |\n| 139-(T) | Wolsey | 397 | 376 | +5.59% | Beadle |\n| 141 | Hoven | 380 | 406 | −6.40% | Potter |\n| 142 | White Lake | 372 | 372 | 0.00% | Aurora |\n| 143 | Florence | 371 | 374 | −0.80% | Codington |\n| 144 | Hayti † | 370 | 381 | −2.89% | Hamlin |\n| 145 | Blunt | 353 | 354 | −0.28% | Hughes |\n| 146 | Buffalo † | 346 | 330 | +4.85% | Harding |\n| 147 | Keystone | 339 | 337 | +0.59% | Pennington |\n| 148 | Bison † | 335 | 333 | +0.60% | Perkins |\n| 149 | Hudson | 324 | 296 | +9.46% | Lincoln |\n| 150 | Ethan | 321 | 331 | −3.02% | Davison |\n| 151 | Langford | 319 | 313 | +1.92% | Marshall |\n| 152 | Bristol | 315 | 341 | −7.62% | Day |\n| 153 | Wakonda | 307 | 321 | −4.36% | Clay |\n| 154 | Pukwana | 301 | 285 | +5.61% | Brule |\n| 155 | Roscoe | 299 | 329 | −9.12% | Edmunds |\n| 156 | Summit | 291 | 288 | +1.04% | Roberts |\n| 157-(T) | Alpena | 283 | 286 | −1.05% | Jerauld |\n| 157-(T) | Colome | 283 | 296 | −4.39% | Tripp |\n| 159 | Bonesteel | 275 | 275 | 0.00% | Gregory |\n| 160 | Stickney | 274 | 284 | −3.52% | Aurora |\n| 161 | Egan | 273 | 278 | −1.80% | Moody |\n| 162-(T) | Chancellor | 261 | 264 | −1.14% | Turner |\n| 162-(T) | Henry | 261 | 267 | −2.25% | Codington |\n| 164 | Iroquois | 260 | 266 | −2.26% | Kingsbury Beadle |\n| 165 | Kennebec † | 257 | 240 | +7.08% | Lyman |\n| 166 | New Effington | 251 | 256 | −1.95% | Roberts |\n| 167 | Willow Lake | 240 | 263 | −8.75% | Clark |\n| 168 | Trent | 231 | 232 | −0.43% | Moody |\n| 169 | Pickstown | 225 | 201 | +11.94% | Charles Mix |\n| 170-(T) | Gary | 224 | 227 | −1.32% | Deuel |\n| 170-(T) | Nisland | 224 | 232 | −3.45% | Butte |\n| 170-(T) | Pollock | 224 | 241 | −7.05% | Campbell |\n| 170-(T) | South Shore | 224 | 225 | −0.44% | Codington |\n| 174 | Hecla | 223 | 227 | −1.76% | Brown |\n| 175 | Delmont | 220 | 234 | −5.98% | Douglas |\n| 176 | Reliance | 219 | 191 | +14.66% | Lyman |\n| 177 | Mellette | 214 | 210 | +1.90% | Spink |\n| 178 | Geddes | 212 | 208 | +1.92% | Charles Mix |\n| 179 | Tulare | 211 | 207 | +1.93% | Spink |\n| 180-(T) | Ramona | 205 | 174 | +17.82% | Lake |\n| 180-(T) | Toronto | 205 | 212 | −3.30% | Deuel |\n| 182 | Bruce | 202 | 204 | −0.98% | Brookings |\n| 183 | Frederick | 200 | 199 | +0.50% | Brown |\n| 184 | Wentworth | 194 | 171 | +13.45% | Lake |\n| 185 | St. Lawrence | 193 | 198 | −2.53% | Hand |\n| 186 | Hosmer | 192 | 208 | −7.69% | Edmunds |\n| 187 | Doland | 183 | 180 | +1.67% | Spink |\n| 188 | Letcher | 182 | 173 | +5.20% | Sanborn |\n| 189 | Wessington | 176 | 170 | +3.53% | Beadle Hand |\n| 190 | Kranzburg | 175 | 172 | +1.74% | Codington |\n| 191-(T) | McIntosh † | 173 | 173 | 0.00% | Corson |\n| 191-(T) | Roslyn | 173 | 183 | −5.46% | Day |\n| 193 | Mission Hill | 168 | 177 | −5.08% | Yankton |\n| 194 | Peever | 166 | 168 | −1.19% | Roberts |\n| 195 | Volin | 165 | 161 | +2.48% | Yankton |\n| 196 | Monroe | 158 | 160 | −1.25% | Turner |\n| 197 | Isabel | 154 | 135 | +14.07% | Dewey |\n| 198 | Frankfort | 152 | 149 | +2.01% | Spink |\n| 199 | Northville | 147 | 143 | +2.80% | Spink |\n| 200-(T) | Goodwin | 145 | 146 | −0.68% | Deuel |\n| 200-(T) | Spencer | 145 | 154 | −5.84% | McCook |\n| 202 | Artesian | 143 | 138 | +3.62% | Sanborn |\n| 203 | Conde | 142 | 140 | +1.43% | Spink |\n| 204 | Columbia | 141 | 136 | +3.68% | Brown |\n| 205 | Buffalo Gap | 139 | 126 | +10.32% | Custer |\n| 206 | Westport | 135 | 133 | +1.50% | Brown |\n| 207 | Astoria | 134 | 139 | −3.60% | Deuel |\n| 208 | Carthage | 132 | 144 | −8.33% | Miner |\n| 209-(T) | Claremont | 131 | 127 | +3.15% | Brown |\n| 209-(T) | Dimock | 131 | 125 | +4.80% | Hutchinson |\n| 211-(T) | Central City | 130 | 134 | −2.99% | Lawrence |\n| 211-(T) | Midland | 130 | 129 | +0.78% | Haakon |\n| 213-(T) | Java | 129 | 129 | 0.00% | Walworth |\n| 213-(T) | Lesterville | 129 | 127 | +1.57% | Yankton |\n| 215 | Ashton | 125 | 122 | +2.46% | Spink |\n| 216 | Pierpont | 124 | 135 | −8.15% | Day |\n| 217-(T) | Dallas | 123 | 120 | +2.50% | Gregory |\n| 217-(T) | Oelrichs | 123 | 126 | −2.38% | Fall River |\n| 219-(T) | Cavour | 122 | 114 | +7.02% | Beadle |\n| 219-(T) | Harrold | 122 | 124 | −1.61% | Hughes |\n| 219-(T) | Oldham | 122 | 133 | −8.27% | Kingsbury |\n| 219-(T) | Sinai | 122 | 120 | +1.67% | Brookings |\n| 223 | Batesland | 116 | 108 | +7.41% | Oglala Lakota |\n| 224-(T) | Fairfax | 115 | 115 | 0.00% | Gregory |\n| 224-(T) | Yale | 115 | 108 | +6.48% | Beadle |\n| 226 | Pringle | 108 | 112 | −3.57% | Custer |\n| 227 | Revillo | 107 | 119 | −10.08% | Grant |\n| 228-(T) | Corona | 106 | 109 | −2.75% | Roberts |\n| 228-(T) | Herrick | 106 | 105 | +0.95% | Gregory |\n| 228-(T) | Stockholm | 106 | 108 | −1.85% | Grant |\n| 231-(T) | Brandt | 105 | 107 | −1.87% | Deuel |\n| 231-(T) | Glenham | 105 | 105 | 0.00% | Walworth |\n| 231-(T) | Interior | 105 | 94 | +11.70% | Jackson |\n| 234 | Cresbard | 103 | 104 | −0.96% | Faulk |\n| 235-(T) | Badger | 100 | 107 | −6.54% | Kingsbury |\n| 235-(T) | Canova | 100 | 105 | −4.76% | Miner |\n| 237 | Hitchcock | 95 | 91 | +4.40% | Beadle |\n| 238-(T) | Fairburn | 94 | 85 | +10.59% | Custer |\n| 238-(T) | Fulton | 94 | 91 | +3.30% | Hanson |\n| 240 | Eden | 93 | 89 | +4.49% | Marshall |\n| 241 | Davis | 88 | 85 | +3.53% | Turner |\n| 242-(T) | Hazel | 87 | 91 | −4.40% | Hamlin |\n| 242-(T) | Wallace | 87 | 85 | +2.35% | Codington |\n| 244 | Dante | 86 | 84 | +2.38% | Charles Mix |\n| 245 | Andover | 84 | 91 | −7.69% | Day |\n| 246 | Wasta | 82 | 80 | +2.50% | Pennington |\n| 247 | Sherman | 81 | 78 | +3.85% | Minnehaha |\n| 248 | Agar | 80 | 76 | +5.26% | Sully |\n| 249 | Brentford | 79 | 77 | +2.60% | Spink |\n| 250 | Claire City | 77 | 76 | +1.32% | Roberts |\n| 251 | New Witten | 76 | 79 | −3.80% | Tripp |\n| 252-(T) | Bradley | 75 | 72 | +4.17% | Clark |\n| 252-(T) | Stratford | 75 | 72 | +4.17% | Brown |\n| 254 | Olivet † | 72 | 74 | −2.70% | Hutchinson |\n| 255-(T) | Draper | 71 | 82 | −13.41% | Jones |\n| 255-(T) | Strandburg | 71 | 72 | −1.39% | Grant |\n| 257-(T) | Fairview | 69 | 60 | +15.00% | Lincoln |\n| 257-(T) | Morristown | 69 | 67 | +2.99% | Corson |\n| 259 | Twin Brooks | 68 | 69 | −1.45% | Grant |\n| 260-(T) | La Bolt | 67 | 68 | −1.47% | Grant |\n| 260-(T) | Mound City † | 67 | 71 | −5.63% | Campbell |\n| 260-(T) | Utica | 67 | 65 | +3.08% | Yankton |\n| 263 | Ortley | 66 | 65 | +1.54% | Roberts |\n| 264 | Fruitdale | 65 | 64 | +1.56% | Butte |\n| 265-(T) | Camp Crook | 64 | 63 | +1.59% | Harding |\n| 265-(T) | Ravinia | 64 | 61 | +4.92% | Charles Mix |\n| 265-(T) | Wood | 64 | 62 | +3.23% | Mellette |\n| 268 | Bushnell | 63 | 65 | −3.08% | Brookings |\n| 269 | Orient | 61 | 63 | −3.17% | Faulk |\n| 270-(T) | Quinn | 60 | 54 | +11.11% | Pennington |\n| 270-(T) | Ree Heights | 60 | 62 | −3.23% | Hand |\n| 272-(T) | Brant Lake | 59 | 159 | −62.89% | Hand |\n| 272-(T) | Lane | 59 | 59 | 0.00% | Jerauld |\n| 274-(T) | Belvidere | 56 | 49 | +14.29% | Jackson |\n| 274-(T) | Garden City | 56 | 53 | +5.66% | Clark |\n| 276 | Grenville | 55 | 54 | +1.85% | Day |\n| 277-(T) | Nunda | 52 | 43 | +20.93% | Lake |\n| 277-(T) | Raymond | 52 | 50 | +4.00% | Clark |\n| 279 | Lake City | 51 | 51 | 0.00% | Marshall |\n| 280 | Ward | 50 | 48 | +4.17% | Moody |\n| 281 | Turton | 49 | 48 | +2.08% | Spink |\n| 282 | Hetland | 48 | 46 | +4.35% | Kingsbury |\n| 283-(T) | Akaska | 47 | 42 | +11.90% | Walworth |\n| 283-(T) | Naples | 47 | 41 | +14.63% | Clark |\n| 285-(T) | Lebanon | 44 | 47 | −6.38% | Potter |\n| 285-(T) | Vienna | 44 | 45 | −2.22% | Clark |\n| 287 | Erwin | 43 | 45 | −4.44% | Kingsbury |\n| 288-(T) | Dolton | 38 | 37 | +2.70% | Turner |\n| 288-(T) | Tolstoy | 38 | 36 | +5.56% | Potter |\n| 290 | Seneca | 37 | 38 | −2.63% | Faulk |\n| 291 | Broadland | 34 | 31 | +9.68% | Beadle |\n| 292 | Altamont | 33 | 34 | −2.94% | Deuel |\n| 293 | Rockham | 32 | 33 | −3.03% | Faulk |\n| 294 | Long Lake | 31 | 31 | 0.00% | McPherson |\n| 295 | Marvin | 29 | 34 | −14.71% | Grant |\n| 296 | Chelsea | 27 | 27 | 0.00% | Faulk |\n| 297-(T) | Bancroft | 19 | 19 | 0.00% | Kingsbury |\n| 297-(T) | Vilas | 19 | 20 | −5.00% | Miner |\n| 299 | Butler | 17 | 17 | 0.00% | Day |\n| 300 | Virgil | 16 | 16 | 0.00% | Beadle |\n| 301-(T) | Albee | 15 | 16 | −6.25% | Grant |\n| 301-(T) | Onaka | 15 | 15 | 0.00% | Faulk |\n| 303-(T) | Cottonwood | 10 | 9 | +11.11% | Jackson |\n| 303-(T) | Farmer | 10 | 10 | 0.00% | Hanson |\n| 305-(T) | Artas | 8 | 9 | −11.11% | Campbell |\n| 305-(T) | Wetonka | 8 | 8 | 0.00% | McPherson |\n| 307 | Lowry | 6 | 6 | 0.00% | Walworth |\n| 308 | Verdon | 5 | 5 | 0.00% | Brown |\n| 309 | Lily | 4 | 4 | 0.00% | Day |\n| 310-(T) | Hillsview | 3 | 3 | 0.00% | McPherson |\n| 310-(T) | White Rock | 3 | 3 | 0.00% | Roberts |\n| 312 | Buffalo Chip | 0 | 0 | NA | Meade |" + } + ] + }, + { + "id": "table_recognition_train_item_60362", + "image": "table_instructV/images/TabFact_2-16487972-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| season | series | team | races | wins | poles | f / laps | podiums | points | position |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2007 | french formula renault 2.0 | sg formula | 13 | 5 | 5 | 10 | 11 | 172 | 1st |\n| 2007 | eurocup formula renault 2.0 | sg formula | 8 | 0 | 1 | 1 | 0 | 4 | 22nd |\n| 2008 | formula 3 euro series | art grand prix | 20 | 2 | 2 | 2 | 7 | 47 | 3rd |\n| 2008 | macau grand prix | art grand prix | 1 | 0 | 0 | 0 | 0 | n / a | 9th |\n| 2008 | masters of formula 3 | art grand prix | 1 | 1 | 0 | 0 | 1 | n / a | 1st |\n| 2009 | formula 3 euro series | art grand prix | 20 | 9 | 6 | 7 | 12 | 114 | 1st |\n| 2009 | british formula three championship | art grand prix | 4 | 0 | 2 | 2 | 3 | 0 | nc |\n| 2009 | macau grand prix | art grand prix | 1 | 0 | 0 | 0 | 0 | n / a | 10th |\n| 2009 | formula renault 3.5 series | sg formula | 1 | 0 | 0 | 0 | 0 | 0 | nc |\n| 200910 | gp2 asia series | art grand prix | 6 | 0 | 1 | 2 | 1 | 8 | 12th |\n| 2010 | gp2 series | art grand prix | 20 | 0 | 3 | 1 | 4 | 52 | 3rd |\n| 2011 | gp2 series | lotus art | 18 | 1 | 1 | 0 | 6 | 53 | 3rd |\n| 2011 | gp2 asia series | lotus art | 4 | 1 | 0 | 1 | 2 | 18 | 2nd |\n| 2011 | formula one | scuderia ferrari | test driver | test driver | test driver | test driver | test driver | test driver | test driver |\n| 2012 | formula renault 3.5 series | tech 1 racing | 17 | 3 | 5 | 7 | 8 | 185 | 2nd |\n| 2012 | formula one | sahara force india f1 team | test driver | test driver | test driver | test driver | test driver | test driver | test driver |\n| 2013 | formula one | marussia f1 team | 16 | 0 | 0 | 0 | 0 | 0 | 19th |" + } + ] + }, + { + "id": "table_recognition_train_item_59884", + "image": "table_instructV/images/TabFact_2-11066073-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| pilot car no | colour | serial no | engine no | registration no |\n| --- | --- | --- | --- | --- |\n| 1 | gawler cream (body no six) | 8 - 1001 - m | 1001 | mg - 501 |\n| 2 | black | 8 - 1002 - m | 1002 | mg - 502 |\n| 3 | black | 8 - 1003 - m | 1003 | mg - 503 |\n| 4 | black | 8 - 1004 - m | 1004 | mg - 504 |\n| 5 | black | 8 - 1005 - m | 1005 | mg - 505 |\n| 6 | seine blue | 8 - 1006 - m | 1006 | mg - 506 |\n| 7 | convoy grey | 8 - 1007 - m | 1007 | mg - 507 |\n| 8 | black | 8 - 1008 - m | 1008 | mg - 508 |\n| 9 | black | 8 - 1009 - m | 1009 | mg - 509 |\n| 10 | black | 8 - 1010 - m | 1010 | mg - 510 |" + } + ] + }, + { + "id": "table_recognition_train_item_61216", + "image": "table_instructV/images/TabFact_2-15272343-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| outcome | date | surface | partner | opponents | score |\n| --- | --- | --- | --- | --- | --- |\n| runner - up | 17 august 2008 | hard | sorana cîrstea | květa peschke lisa raymond | 6 - 4 , 5 - 7 , |\n| winner | 12 july 2009 | clay | alisa kleybanova | alona bondarenko kateryna bondarenko | 6 - 4 , 7 - 6 (7 - 5) |\n| runner - up | 2 august 2009 | hard | chan yung - jan | serena williams venus williams | 1 - 6 , 4 - 6 |\n| runner - up | 16 january 2010 | hard | chan yung - jan | květa peschke chuang chia - jung | 6 - 3 , 3 - 6 , |\n| runner - up | 18 july 2010 | clay | ágnes szávay | timea bacsinszky tathiana garbin | 5 - 7 , 6 - 7 (4 - 7) |\n| runner - up | 23 july 2011 | hard | galina voskoboeva | mariya koryttseva tatiana poutchek | 3 - 6 , 6 - 2 , |\n| winner | 14 january 2012 | hard | irina - camelia begu | chuang chia - jung marina erakovic | 6 - 7 (4 - 7) , 7 - 6 (7 - 4) , |\n| runner - up | 22 september 2012 | hard | jarmila gajdošová | tamarine tanasugarn zhang shuai | 6 - 2 , 2 - 6 , |\n| runner - up | 21 october 2012 | hard (i) | irina - camelia begu | andrea hlaváčková lucie hradecká | 3 - 6 , 4 - 6 |\n| runner - up | 22 june 2013 | grass | klára zakopalová | nadia petrova katarina srebotnik | 3 - 6 , 3 - 6 |" + } + ] + }, + { + "id": "table_recognition_train_item_34717", + "image": "table_instructV/images/TABMWP_11352.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 17 | 0 |\n| 18 | 4 |\n| 19 | 6 |" + } + ] + }, + { + "id": "table_recognition_train_item_33259", + "image": "table_instructV/images/TABMWP_27556.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $145 | 9,500 | 3,500 |\n| $275 | 7,800 | 6,400 |\n| $405 | 6,100 | 9,300 |\n| $535 | 4,400 | 12,200 |\n| $665 | 2,700 | 15,100 |" + } + ] + }, + { + "id": "table_recognition_train_item_31633", + "image": "table_instructV/images/TABMWP_9562.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $105 | 5,300 | 6,700 |\n| $225 | 5,200 | 9,800 |\n| $345 | 5,100 | 12,900 |\n| $465 | 5,000 | 16,000 |\n| $585 | 4,900 | 19,100 |" + } + ] + }, + { + "id": "table_recognition_train_item_33679", + "image": "table_instructV/images/TABMWP_31502.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| Number of necklaces | Number of opals |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_102466", + "image": "table_instructV/images/ToTTo_train_table_10288.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Year | Title | Chinese title | Role | Notes |\n| --- | --- | --- | --- | --- |\n| 1999 | Zhanian Instrument | 《弹起我的扎年琴》 | Gesang | |\n| 2011 | Wuye Paimen | 《午夜拍门》 | Jin He | |\n| 2013 | Women Who Know How to Flirt Are the Luckiest | 《撒娇女人最好命》 | Jia Jia | |\n| 2014 | Zhong Kui: Snow Girl and the Dark Crystal | 《钟馗伏魔：雪妖魔灵》 | A Western beauty | |\n| 2017 | Soul on a String | 《皮绳上的魂》 | Qiong | |" + } + ] + }, + { + "id": "table_recognition_train_item_63354", + "image": "table_instructV/images/TabFact_2-18409087-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| game | date | opponent | score | location / attendance | record |\n| --- | --- | --- | --- | --- | --- |\n| 25 | december 3 | new york | 93 - 126 | madison square garden | 12 - 13 |\n| 26 | december 4 | new york | 113 - 121 | alexander memorial coliseum | 12 - 14 |\n| 27 | december 6 | la lakers | 94 - 99 | alexander memorial coliseum | 12 - 15 |\n| 28 | december 8 | phoenix | 121 - 99 | arizona veterans memorial coliseum | 13 - 15 |\n| 29 | december 10 | san francisco | 111 - 100 | oakland - alameda county coliseum arena | 14 - 15 |\n| 30 | december 12 | seattle | 93 - 91 | seattle center coliseum | 15 - 15 |\n| 31 | december 13 | la lakers | 105 - 103 | the forum | 16 - 15 |\n| 32 | december 17 | chicago | 87 - 83 | chicago stadium | 17 - 15 |\n| 33 | december 18 | milwaukee | 122 - 116 | alexander memorial coliseum | 18 - 15 |\n| 34 | december 21 | detroit | 120 - 110 | alexander memorial coliseum | 19 - 15 |\n| 35 | december 26 | seattle | 126 - 96 | alexander memorial coliseum | 20 - 15 |\n| 36 | december 28 | boston | 110 - 97 | alexander memorial coliseum | 21 - 15 |\n| 37 | december 29 | baltimore | 101 - 99 | alexander memorial coliseum | 22 - 15 |" + } + ] + }, + { + "id": "table_recognition_train_item_112187", + "image": "table_instructV/images/Rotowire_train_table_436.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Grizzlies | Memphis | 106 | 27 | 22 | 29 | 24 | 18 | 39 | 15 | 50 | 68 | 37 | 30 | 22 | | | | |\n| Trail Blazers | Portland | 112 | 25 | 26 | 27 | 24 | 22 | 37 | 13 | 49 | 70 | 35 | 26 | 27 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Grizzlies | | | | | | | | | | | | | | | | | | |\n| Mike Conley | 33 | 27 | 3 | 3 | 10-17 | 59% | 2-3 | 67% | 5-6 | 83% | 1 | 4 | 0 | 0 | 3 | 5 | G | Memphis |\n| Zach Randolph | 40 | 26 | 9 | 4 | 12-19 | 63% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 1 | 8 | 2 | F | Memphis |\n| Jeff Green | 39 | 12 | 6 | 1 | 5-14 | 36% | 1-4 | 25% | 1-2 | 50% | 0 | 2 | 2 | 2 | 4 | 1 | N/A | Memphis |\n| Mario Chalmers | 23 | 12 | 2 | 3 | 5-12 | 42% | 1-3 | 33% | 1-2 | 50% | 1 | 2 | 0 | 1 | 1 | 3 | N/A | Memphis |\n| Marc Gasol | 11 | 11 | 3 | 2 | 4-6 | 67% | 0-0 | 0% | 3-3 | 100% | 0 | 0 | 0 | 0 | 3 | 0 | C | Memphis |\n| Tony Allen | 39 | 8 | 7 | 0 | 3-4 | 75% | 1-1 | 100% | 1-4 | 25% | 1 | 0 | 0 | 1 | 6 | 3 | F | Memphis |\n| Matt Barnes | 28 | 5 | 2 | 2 | 2-6 | 33% | 1-5 | 20% | 0-0 | 0% | 1 | 2 | 1 | 0 | 2 | 6 | N/A | Memphis |\n| Courtney Lee | 25 | 3 | 2 | 1 | 1-4 | 25% | 1-2 | 50% | 0-0 | 0% | 0 | 4 | 0 | 0 | 2 | 1 | G | Memphis |\n| JaMychal Green | 13 | 2 | 2 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 2 | 2 | N/A | Memphis |\n| Ryan Hollins | 6 | 0 | 2 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Memphis |\n| Vince Carter | 9 | 0 | 1 | 1 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Memphis |\n| Brandan Wright | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Trail Blazers | | | | | | | | | | | | | | | | | | |\n| Damian Lillard | 43 | 33 | 4 | 5 | 9-22 | 41% | 5-13 | 39% | 10-12 | 83% | 1 | 4 | 1 | 0 | 4 | 5 | G | Portland |\n| CJ McCollum | 38 | 21 | 3 | 6 | 10-24 | 42% | 1-5 | 20% | 0-0 | 0% | 3 | 2 | 1 | 1 | 2 | 5 | G | Portland |\n| Gerald Henderson | 35 | 16 | 3 | 1 | 7-12 | 58% | 2-3 | 67% | 0-0 | 0% | 1 | 1 | 0 | 1 | 2 | 2 | N/A | Portland |\n| Allen Crabbe | 21 | 13 | 4 | 0 | 6-8 | 75% | 0-1 | 0% | 1-1 | 100% | 3 | 1 | 1 | 2 | 2 | 1 | N/A | Portland |\n| Maurice Harkless | 23 | 11 | 2 | 2 | 5-7 | 71% | 1-3 | 33% | 0-3 | 0% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | Portland |\n| Ed Davis | 26 | 7 | 8 | 3 | 2-4 | 50% | 0-0 | 0% | 3-4 | 75% | 1 | 1 | 3 | 2 | 6 | 4 | N/A | Portland |\n| Al-Farouq Aminu | 40 | 4 | 5 | 3 | 2-5 | 40% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 4 | 0 | F | Portland |\n| Mason Plumlee | 24 | 4 | 6 | 2 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 5 | 3 | C | Portland |\n| Meyers Leonard | 13 | 3 | 2 | 0 | 1-2 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 2 | F | Portland |\n| Tim Frazier | 2 | 0 | 0 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Portland |\n| Pat Connaughton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Cliff Alexander | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Chris Kaman | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |" + } + ] + }, + { + "id": "table_recognition_train_item_35486", + "image": "table_instructV/images/TABMWP_35345.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| Location | Temperature (°F) |\n| --- | --- |\n| Death Valley | 134 |\n| Vostok Station | -128 |" + } + ] + }, + { + "id": "table_recognition_train_item_117633", + "image": "table_instructV/images/Rotowire_train_table_3159.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Timberwolves | Minnesota | 101 | 34 | 19 | 27 | 21 | 22 | 41 | 15 | 43 | 77 | 23 | 2 | 1 | | | | |\n| Trail Blazers | Portland | 106 | 21 | 32 | 30 | 23 | 18 | 46 | 16 | 46 | 75 | 30 | 2 | 2 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Kevin Martin | 35 | 24 | 2 | 1 | 7-12 | 58% | 2-4 | 50% | 8-11 | 73% | 0 | 3 | 0 | 0 | 2 | 3 | N/A | Minnesota |\n| Andrew Wiggins | 23 | 16 | 6 | 3 | 5-17 | 29% | 0-3 | 0% | 6-7 | 86% | 1 | 3 | 0 | 3 | 3 | 2 | G | Minnesota |\n| Gorgui Dieng | 21 | 12 | 5 | 1 | 6-9 | 67% | 0-0 | 0% | 0-1 | 0% | 0 | 0 | 0 | 1 | 4 | 2 | N/A | Minnesota |\n| Ricky Rubio | 32 | 12 | 9 | 9 | 4-10 | 40% | 0-2 | 0% | 4-4 | 100% | 3 | 1 | 0 | 0 | 9 | 4 | G | Minnesota |\n| Karl-Anthony Towns | 27 | 11 | 5 | 0 | 5-9 | 56% | 1-1 | 100% | 0-0 | 0% | 0 | 4 | 4 | 1 | 4 | 5 | C | Minnesota |\n| Zach LaVine | 16 | 10 | 0 | 5 | 3-7 | 43% | 0-1 | 0% | 4-4 | 100% | 0 | 2 | 0 | 0 | 0 | 1 | N/A | Minnesota |\n| Shabazz Muhammad | 17 | 9 | 4 | 0 | 2-5 | 40% | 0-0 | 0% | 5-6 | 83% | 1 | 0 | 0 | 0 | 4 | 1 | N/A | Minnesota |\n| Nemanja Bjelica | 31 | 5 | 9 | 2 | 2-4 | 50% | 0-2 | 0% | 1-2 | 50% | 2 | 2 | 0 | 3 | 6 | 4 | N/A | Minnesota |\n| Tayshaun Prince | 20 | 2 | 0 | 0 | 0-3 | 0% | 0-0 | 0% | 2-2 | 100% | 2 | 0 | 0 | 0 | 0 | 0 | F | Minnesota |\n| Kevin Garnett | 17 | 0 | 1 | 1 | 0-3 | 0% | 0-0 | 0% | 0-2 | 0% | 1 | 0 | 0 | 0 | 1 | 0 | F | Minnesota |\n| Adreian Payne | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Damjan Rudez | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Andre Miller | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Trail Blazers | | | | | | | | | | | | | | | | | | |\n| Damian Lillard | 38 | 34 | 2 | 7 | 14-25 | 56% | 4-9 | 44% | 2-3 | 67% | 2 | 2 | 1 | 1 | 1 | 4 | G | Portland |\n| CJ McCollum | 36 | 18 | 6 | 4 | 7-18 | 39% | 2-6 | 33% | 2-2 | 100% | 1 | 4 | 1 | 0 | 6 | 4 | G | Portland |\n| Al-Farouq Aminu | 32 | 17 | 9 | 1 | 7-12 | 58% | 2-5 | 40% | 1-2 | 50% | 0 | 0 | 1 | 3 | 6 | 5 | F | Portland |\n| Mason Plumlee | 28 | 9 | 4 | 2 | 4-5 | 80% | 0-0 | 0% | 1-2 | 50% | 0 | 6 | 1 | 1 | 3 | 2 | C | Portland |\n| Ed Davis | 20 | 7 | 11 | 1 | 2-4 | 50% | 0-0 | 0% | 3-4 | 75% | 1 | 0 | 1 | 4 | 7 | 4 | N/A | Portland |\n| Allen Crabbe | 25 | 7 | 0 | 1 | 3-10 | 30% | 1-4 | 25% | 0-0 | 0% | 1 | 1 | 0 | 0 | 0 | 0 | N/A | Portland |\n| Maurice Harkless | 17 | 5 | 4 | 1 | 2-5 | 40% | 0-1 | 0% | 1-1 | 100% | 0 | 0 | 0 | 1 | 3 | 2 | N/A | Portland |\n| Noah Vonleh | 19 | 5 | 3 | 0 | 1-3 | 33% | 0-1 | 0% | 3-4 | 75% | 0 | 2 | 0 | 0 | 3 | 3 | N/A | Portland |\n| Meyers Leonard | 24 | 4 | 7 | 1 | 1-7 | 14% | 0-4 | 0% | 2-2 | 100% | 0 | 1 | 1 | 1 | 6 | 3 | F | Portland |\n| Pat Connaughton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Chris Kaman | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Tim Frazier | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Luis Montero | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |" + } + ] + }, + { + "id": "table_recognition_train_item_66404", + "image": "table_instructV/images/TabFact_1-11964047-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | date | visitor | score | home | leading scorer | attendance | record | streak |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 46 | february 1 | new york knicks | w 94 - 88 ot | portland trail blazers | randolph : 25 | rose garden 20422 | 27 - 19 | w1 |\n| 47 | february 4 | denver nuggets | l 105 - 103 ot | portland trail blazers | anthony : 28 | rose garden 20320 | 27 - 20 | l1 |\n| 48 | february 6 | chicago bulls | w 97 - 100 | portland trail blazers | roy : 28 | rose garden 20126 | 28 - 20 | w1 |\n| 49 | february 8 | portland trail blazers | l 82 - 91 | detroit pistons | aldridge : 22 | the palace of auburn hills 22076 | 28 - 21 | l1 |\n| 50 | february 9 | portland trail blazers | l 93 - 101 | indiana pacers | granger : 29 | conseco fieldhouse 14130 | 28 - 22 | l2 |\n| 51 | february 11 | portland trail blazers | l 83 - 95 | houston rockets | yao : 25 | toyota center 14710 | 28 - 23 | l3 |\n| 52 | february 13 | portland trail blazers | l 76 - 96 | dallas mavericks | nowitzki : 37 | american airlines center 20159 | 28 - 24 | l4 |\n| 53 | february 19 | sacramento kings | l 105 - 94 | portland trail blazers | artest : 24 | rose garden 19980 | 28 - 25 | l5 |\n| 54 | february 21 | seattle supersonics | w 88 - 92 | portland trail blazers | durant : 20 | rose garden 20168 | 29 - 25 | w1 |\n| 55 | february 22 | portland trail blazers | l 87 - 99 | seattle supersonics | outlaw : 26 | keyarena 16640 | 29 - 26 | l1 |\n| 56 | february 24 | boston celtics | l 112 - 102 | portland trail blazers | pierce : 30 | rose garden 20554 | 29 - 27 | l2 |\n| 57 | february 26 | portland trail blazers | l 83 - 96 | los angeles lakers | bryant : 30 | staples center 18997 | 29 - 28 | l3 |\n| 58 | february 27 | portland trail blazers | w 82 - 80 | los angeles clippers | maggette : 32 | staples center 16494 | 30 - 28 | w1 |" + } + ] + }, + { + "id": "table_recognition_train_item_48450", + "image": "table_instructV/images/TAT-QA_77d32d68-40b6-4c76-8151-58b6e99bae9a.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| | | Year Ended February 28, | |\n| --- | --- | --- | --- |\n| | 2019 | 2018 | 2017 |\n| Net income (loss) | $18,398 | $16,617 | $(7,904) |\n| Basic weighted average number of common shares outstanding | 34,589 | 35,250 | 35,917 |\n| Effect of stock options and restricted stock units computed on | | | |\n| treasury stock method | 705 | 889 | - |\n| Diluted weighted average number of common shares outstanding | 35,294 | 36,139 | 35,917 |\n| Earnings (loss) per share: | | | |\n| Basic | $0.53 | $0.47 | $(0.22) |\n| Diluted | $0.52 | $0.46 | $(0.22) |" + } + ] + }, + { + "id": "table_recognition_train_item_35257", + "image": "table_instructV/images/TABMWP_27903.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| Date | Description | Received | Expenses | Available Funds |\n| --- | --- | --- | --- | --- |\n| | Balance: end of November | | | $328.20 |\n| 12/5 | wrapping paper | | $4.95 | $323.25 |\n| 12/16 | watching Ms. Kemp's cat | $15.00 | | $338.25 |\n| 12/29 | calendar | | $7.80 | $330.45 |" + } + ] + }, + { + "id": "table_recognition_train_item_65802", + "image": "table_instructV/images/TabFact_2-16195179-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| heat | lane | name | country | mark |\n| --- | --- | --- | --- | --- |\n| 1 | 5 | dmitriy bogdanov | russia | 1:46.83 |\n| 1 | 2 | yusuf saad kamel | bahrain | 1:46.88 pb |\n| 1 | 4 | khadevis robinson | united states | 1:47.57 |\n| 1 | 3 | richard hill | united kingdom | 1:47.82 |\n| 1 | 6 | manuel olmedo | spain | 1:48.90 |\n| 1 | 1 | fabiano peã§anha | brazil | 1:49.63 |\n| 2 | 1 | mbulaeni mulaudzi | south africa | 1:47.39 sb |\n| 2 | 5 | abubaker kaki khamis | sudan | 1:47.41 |\n| 2 | 2 | robert lathouwers | netherlands | 1:48.27 pb |\n| 2 | 4 | abraham chepkirwok | uganda | 1:48.30 |\n| 2 | 6 | mattias claesson | sweden | 1:48.50 |\n| 2 | 3 | jozef repcik | slovakia | 1:48.61 |\n| 3 | 5 | nick symmonds | united states | 1:48.43 |\n| 3 | 4 | dmitrijs milkevics | latvia | 1:48.80 |\n| 3 | 3 | eugenio barrios | spain | 1:49.02 |\n| 3 | 6 | ehsan mohajer shojaei | iran | 1:49.32 |\n| 3 | 1 | abdoulaye wagne | senegal | 1:49.49 |\n| 3 | 2 | lukas rifeser | italy | 1:51.20 |" + } + ] + }, + { + "id": "table_recognition_train_item_33243", + "image": "table_instructV/images/TABMWP_27360.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Number of jackets | Number of buttons |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_48798", + "image": "table_instructV/images/TAT-QA_5db485cf-6c57-4869-8065-14e334b4b733.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| | Total Number of Shares Purchased | Average Price Paid per Share (1) | Total Number of Shares Purchased as Part of Publicly Announced Plans or Programs | Approximate Dollar Value of Shares that may be Purchased Under the Plans or Programs (2) |\n| --- | --- | --- | --- | --- |\n| December 1 - December 31, 2018 | 75,000 | $12.96 | 75,000 | $19,028,173 |\n| January 1 - January 31, 2019 | 524,577 | $14.00 | 524,577 | $11,685,543 |\n| February 1 - February 28, 2019 | 116,042 | $14.53 | 116,042 | $10,000,013 |\n| Total | 715,619 | $13.97 | 715,619 | $10,000,013 |" + } + ] + }, + { + "id": "table_recognition_train_item_66738", + "image": "table_instructV/images/TabFact_2-16704913-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| season | episodes | season premiere | season finale | peak series rating | average series rating | dvd release date | discs |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| telemovie & season 1 | 23 | 11 may 1996 (telemovie) , 8 august 2001 (series) | 20 march 2002 | 1.9 million viewers | 1.85 million viewers | 10 september 2003 | 6 |\n| season 2 | 22 | 27 march 2002 | 16 october 2002 | 1.9 million viewers | 1.84 million viewers | 12 july 2004 | 6 |\n| season 3 | 30 | 12 february 2003 | 29 october 2003 | 1.9 million viewers | 1.82 million viewers | june , 2005 | 6 |\n| season 4 | 32 | 11 february 2004 | 24 november 2004 | 1.8 million viewers | 1.68 million viewers | october , 2005 | 7 |\n| season 5 | 32 | 9 february 2005 | 23 november 2005 | 1.7 million viewers | 1.65 million viewers | april , 2006 | 7 |\n| season 6 | 32 | 15 february 2006 | 29 november 2006 | 1.5 million viewers | 1.44 million viewers | 11 april 2007 | 7 |\n| season 7 | 32 | 7 february 2007 | 17 october 2007 | 1.4 million viewers | 1.08 million viewers | 30 april 2008 | 7 |\n| season 8 | 22 | 23 july 2008 | 31 january 2009 | 1.0 million viewers | 0.65 million viewers | november 2008 | 6 |" + } + ] + }, + { + "id": "table_recognition_train_item_51994", + "image": "table_instructV/images/TabFact_1-2155350-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| category | sub - category | cab size | drive wheels | capacity (litres) |\n| --- | --- | --- | --- | --- |\n| 1 heavy tanker | village | crew | 4x4 | 3000 - 4000 |\n| 1 heavy tanker | multi - purpose | crew | 4x4 | 3000 - 4000 |\n| 1 heavy tanker | grasslands | single | 4x4 , 6x6 | 3000 - 4000 |\n| 2 medium tanker | multi - purpose | crew | 4x4 | 1600 - 3000 |\n| 2 medium tanker | grasslands | single | 4x4 , 6x6 | 1600 - 3000 |\n| 3 heavy tanker | multi - purpose | crew | 4x2 | 3000 - 4000 |\n| 3 heavy tanker | multi - purpose | single | 4x2 | 3000 - 4000 |\n| 4 medium tanker | multi - purpose | crew | 4x2 | 1600 - 3000 |\n| 4 medium tanker | multi - purpose | single | 4x2 | 1600 - 3000 |\n| 5 | super tanker | crew | 4x4 , 6x6 | 4000 + |\n| 5 | super tanker | single | 4x4 , 6x6 | 4000 + |\n| 6 | super tanker | crew | 4x2 , 6x4 | 4000 + |\n| 6 | super tanker | single | 4x2 , 6x4 | 4000 + |\n| 7 | light tanker | crew | 4x4 | 800 - 1600 |\n| 7 | light tanker | single | 4x4 , 6x6 | 800 - 1600 |\n| 8 | light tanker | crew | 4x2 | 800 - 1600 |\n| 8 | light tanker | single | 4x2 | 800 - 1600 |\n| 9 | striker | crew | 4x4 | less than 800 |\n| 9 | striker | single | 4x4 | less than 800 |\n| 10 | light pumper | crew | 4x2 | less than 1600 |\n| 10 | medium pumper | crew | 4x2 | more than 1600 |\n| 11 | medium pumper | crew | 4x4 | more than 1600 |\n| 12 | personnel transport | crew | 4x4 | none |\n| 12 | bus , small | up to 15 seats | n / a | none |\n| 12 | bus , large | more than 15 seats | n / a | none |\n| 13 | bulk water carrier | most likely single | 4x2 , 6x4 , 8x4 | 4000 + |\n| 13 | bulk water trailer | most likely single | n / a | 4000 + |\n| 14 | tanker trailer , small | n / a | n / a | less than 800 |\n| 14 | tanker trailer , large | n / a | n / a | more than 800 |\n| 14 | pump trailer | n / a | n / a | n / a |\n| 15 | fire boat | fire boat | fire boat | none |\n| 15 | other boat | other boat | other boat | none |" + } + ] + }, + { + "id": "table_recognition_train_item_64828", + "image": "table_instructV/images/TabFact_2-14318917-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| game | november | opponent | score | record | points |\n| --- | --- | --- | --- | --- | --- |\n| 14 | 4 | vancouver canucks | 3 - 4 | 8 - 6 - 0 | 16 |\n| 15 | 6 | new york islanders | 6 - 3 | 9 - 6 - 0 | 18 |\n| 16 | 7 | new york islanders | 2 - 2 | 9 - 6 - 1 | 19 |\n| 17 | 10 | buffalo sabres | 2 - 7 | 9 - 7 - 1 | 19 |\n| 18 | 11 | new york rangers | 7 - 3 | 10 - 7 - 1 | 21 |\n| 19 | 13 | edmonton oilers | 3 - 4 | 10 - 8 - 1 | 21 |\n| 20 | 18 | calgary flames | 3 - 2 | 11 - 8 - 1 | 23 |\n| 21 | 20 | montreal canadiens | 4 - 6 | 11 - 9 - 1 | 23 |\n| 22 | 21 | st louis blues | 3 - 1 | 12 - 9 - 1 | 25 |\n| 23 | 24 | boston bruins | 4 - 4 | 12 - 9 - 2 | 26 |\n| 24 | 27 | los angeles kings | 4 - 0 | 13 - 9 - 2 | 28 |\n| 25 | 28 | vancouver canucks | 5 - 5 | 13 - 9 - 3 | 29 |" + } + ] + }, + { + "id": "table_recognition_train_item_101957", + "image": "table_instructV/images/ToTTo_train_table_8350.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Series Leader | Series Rival | Series Record | Series Began | Notes | References |\n| --- | --- | --- | --- | --- | --- |\n| Norwich Free Academy (Norwich, CT) | New London High School (New London, CT) | 77–63–11 | 1875 | Annual Thanksgiving football game. One of the original annual Thanksgiving football games, but has not been played continuously. | |\n| Phillips Academy Andover (Andover, MA) | Phillips Exeter Academy (Exeter, NH) | 74-54-10 | 1878 | The oldest football rivalry between private American prep schools, waged between two schools 37 miles apart and founded in the 18th century by members of the Phillips family. | |\n| Wellesley High School (Wellesley, MA) | Needham High School (Needham, MA) | 62–59–9 | 1882 | Annual Thanksgiving Day game. First played Thanksgiving morning 1882 at Morton Field in Wellesley (named West Needham at the time). | |\n| Fordham Preparatory School (Bronx, NY) | Xavier High School (New York, NY) | 49–39–3 | 1883 | Annual Thanksgiving football game. The oldest high school rivals in New York City, with the 86th meeting taking place in 2009. | |\n| Milton Academy (Milton, MA) | Noble and Greenough School (Dedham, MA) | | 1886 | Annual football game. One of the oldest continual football rivalries in the nation. | |\n| Groton School (Groton, MA) | St. Mark's School (Southborough, MA) | 77–45–2 | 1886 | Annual football game. St. Mark's-Groton Rivalry | |\n| Boston Latin School (Boston, MA) | English High School (Boston, MA) | 77–35–13 | 1887 | Annual Thanksgiving football game. Oldest continuous high school football rivalry in the U.S. | |\n| Lawrenceville School (Lawrenceville, NJ) | The Hill School (Pottstown, PA) | 59–42–5 | 1887 | Annual football game. One of the oldest continual football rivalries in the nation. | |\n| William Penn Charter School (Philadelphia, PA) | Germantown Academy (Fort Washington, PA) | 80–33–11 | 1887 | Believed to be the nation's oldest uninterrupted football rivalry among prep schools. | |\n| Baltimore Polytechnic Institute (Baltimore, MD) | Baltimore City College (Baltimore, MD) | 62–61–6 | 1889 | The annual Poly-City Game is now played at M&T Bank Stadium, normally home to the Baltimore Ravens, first Saturday in November after more than 75 years on Thanksgiving Day. | |\n| Hyde Park Career Academy (Chicago, IL) | Englewood Technical Prep Academy (Chicago, IL) | 56–46–6 | 1889 | Called by one writer \"The Greatest High School Football Rivalry in Illinois\", Hyde Park and Englewood's first game took place in 1889. | |\n| The Haverford School (Haverford, PA) | Episcopal Academy (Merion, PA) | 53–44–2 | 1889 | Annual EA Day or Episcopal-Haverford Day football game. The second oldest high school football rivalry in Pennsylvania? | |\n| Malden High School (Malden, MA) | Medford High School (Medford, MA) | 62–55–10 | 1889 | Annual Thanksgiving football game. The 127th meeting took place in 2014 in Malden. | |\n| Utica Proctor (Utica, NY) | Rome Free Academy (Rome, NY) | | 1891 | Annual homecoming game but regular games throughout season. | |\n| Winchester High School (Winchester, MA) | Woburn Memorial High School (Woburn, MA) | 51–42–12 | 1891 | Annual Thanksgiving football game. This storied rivalry met for its 109th game in 2013. | |\n| Beverly High School (Beverly, MA) | Salem High School (Salem, MA) | 54–51–7 | 1891 | One of the oldest rivalry in the state. Thanksgiving football. | |\n| Newburyport High School (Newburyport, MA) | Amesbury High School (Amesbury, MA) | 44–33–6 | 1891 | Annual Thanksgiving football game. Rivalry includes several unsanctioned games between 1891 and 1914. | |\n| Louisville Male High School (Louisville, KY) | duPont Manual High School (Louisville, KY) | 81–45–6 | 1892 | Dubbed \"The Old Rivalry\" it is the oldest high school rivalry in Kentucky and the oldest rivalry west of the Appalachian Mountains. | |\n| Central High School (Pueblo, Colorado) | Centennial High School (Pueblo, Colorado) | 56–53–9 | 1892 | This rivalry is noted as being the oldest high school football rivalry West of the Mississippi River. There were no games held from 1908–1920. | |\n| Abilene High School (Abilene, KS) | Chapman High School (Chapman, KS) | | 1892 | Annual football game, often serving as the Homecoming game for each team in alternating years. In 2009, this rivalry was also picked by ESPN as the greatest rivalry in Kansas. | |\n| Northeast High School (Philadelphia, PA) | Central High School (Philadelphia, PA) | 54–51–10 | 1892 | Annual Thanksgiving game. The Philadelphia area's most recognized Thanksgiving football tradition, the schools play each year for the wooden horse trophy. | |\n| Cony High School (Augusta, ME) | Gardiner High School (Gardiner, ME) | 65–55–10 | 1892 | Cony and Gardiner play in the Pine Tree Conference in Maine. After some recent division shuffling the teams are once again in the same division, Class B. | |\n| Vineland High School (Vineland, NJ) | Millville High School (Millville, NJ) | 63–62-19 | 1893 | Annual Thanksgiving football game. The oldest rivalry football game in New Jersey. | |\n| Saint Ignatius College Preparatory (San Francisco, CA) | Sacred Heart Cathedral Preparatory (San Francisco, CA) | 41–19–2 | 1893 | The rivalry dates back to a rugby game on March 17, 1893; this led to the establishment of the Bruce-Mahoney Trophy in 1947. | |\n| West Aurora High School (Aurora, IL) | East Aurora High School (Aurora, IL) | 64–48–12 | 1893 | The East-West rivalry dates back to November 18, 1893, and is the longest continuous rivalry in Illinois. The two schools met in all but two years (1894 and 1897) since 1893, including two games in 1896 and 1898, with all but a handful of games prior to 1953 taking place on Thanksgiving Day. | |\n| Bradford Area High School (Bradford, PA) | Olean High School (Olean, NY) | | 1893 | The second-oldest interstate high school football rivalry in the country, and the oldest such rivalry to feature public schools. | |\n| B.M.C. Durfee High School (Fall River, MA) | New Bedford High School (New Bedford, MA) | | 1893 | Annual Thanksgiving football game. The oldest high school football rivalry in South Coast New England. | |\n| Pottsville Area High School (Pottsville, Pennsylvania) | Reading High School (Reading, Pennsylvania) | 46–38–8 | 1893 | Cut and polished anthracite coalTraditional annual Thanksgiving Day Game 1932–77. Cities separated by 34 miles via PA Route 61. | |\n| Gonzaga College High School (Washington, DC) | St. John's College High School (Washington, DC) | 45–40–5 | 1893 | Though the schools both played football as early as 1889, the football rivalry did not take root until 1928. The \"Modern Era\" began on October 26, 1928, when the teams met at Georgetown University before a crowd of 2,500. | |\n| Mount Carmel High School (Mount Carmel, Pennsylvania) | Shamokin High School (Shamokin, Pennsylvania) | 67–25–11 | 1893 | Following a six-year hiatus from 1928–1933, the two teams have played each other every year since 1934. The game known as the \"Coal Bucket Game\", formerly played on Thanksgiving Day, began in 1951 (series record: 41–15–2). | |\n| Thornton Academy (Saco, Maine) | Biddeford High School (Biddeford, Maine) | 49–34–8 | 1893 | The annual \"Battle of the Bridge\" rivalry began in 1893 off and on until 1927. In 1954 there was a 9-year gap before resuming in 1963 and continuing on ever since. | |\n| Hebron Academy (Hebron, ME) | Kents Hill School (Kents Hill, ME) | | 1894 | Annual football game. Kents Hill School Rivalry | |\n| Athol High School (Athol) | Ralph C. Mahar Regional High School (Orange, Massachusetts) | 51-31-1 | 1894 | Annual football game. Thanksgiving Day Game | |\n| St. Johnsbury Academy (St. Johnsbury, VT) | Lyndon Institute (Lyndon, VT) | 64–44–6 | 1894 | Annual football game. Played on the last Saturday of the regular season for Vermont High School football. | |\n| Menominee High School (Menominee, MI) | Marinette High School (Marinette, WI) | 51–50–7 | 1894 | The oldest interstate rivalry between two public high schools (third overall), Menominee and Marinette are \"twin towns\" separated by less than a mile of water and a bridge, making the rivalry all the more intense. | |\n| Massillon Washington High School (Massillon, OH) | Canton McKinley High School (Canton, OH) | 64–51–5 | 1894 | Annual. The last game of the regular season at either Paul Brown Tiger Stadium in Massillon, or Fawcett Stadium, next to the Pro Football Hall of Fame, in Canton. | |\n| Millville Senior High School (Millville, NJ) | Vineland Senior High School South/Vineland Senior High School North (Vineland, NJ) | 55–60–19 | 1894 | Annual Thanksgiving football game, this rivalry is the 12th-oldest in the United States. In terms of games (136), it is the fourth-longest in the nation's history. | |\n| Leominster High School (Leominster, MA) | Fitchburg High School (Fitchburg, MA) | 66–59–10 | 1894 | Annual Thanksgiving football game. \"The Rivalry\", also known by locals as the Turkey Bowl, met for the 111th Thanksgiving and the 155th time overall in 2016. | |\n| Newton North High School (Newton, MA) | Brookline High School (Brookline, MA) | 55–53–6 | 1894 | Annual Thanksgiving football game. | |\n| Ottawa Township High School (Ottawa, IL) | Streator Township High School (Streator, IL) | 58–37–1 | 1895 | The Ottawa Pirates and Streator Bulldogs are the 3rd longest football rivalry in the State of Illinois still active. | |\n| Ansonia High School (Ansonia, CT) | Naugatuck High School (Naugatuck, CT) | 68–34–10 | 1895 | Annual Thanksgiving football game. Game regularly draws crowds of up to 10,000. | |\n| Sandusky High School (Sandusky, OH) | Fremont Ross High School (Fremont, OH) | | 1895 | Annual battle between the Sandusky Blue Streaks and the Ross Little Giants is the second oldest rivalry in Ohio. | |\n| Barnstable High School (Hyannis, MA) | Falmouth High School (Falmouth, MA) | 58–57–8 | 1895 | Annual football game. Traditionally played on Thanksgiving Day, series played on Cape Cod in Massachusetts. | |\n| Warwick Valley High School (Warwick, NY) | Goshen High School (Goshen, NY) | 45–44–0 (since 1927) | 1896 | Second-oldest rivalry in New York State; teams have played annually since 1927, and for the Spirit Trophy since 1976. In 2011, Goshen opted out of the rivalry due to divisional realignment. | |\n| North Tonawanda High School (North Tonawanda, NY) | Tonawanda High School (Tonawanda, NY) | 63–31–9 | 1896 | Annual T-NT game is the oldest rivalry in the Buffalo, NY area. | |\n| Dover High School (Dover, OH) | New Philadelphia High School (New Philadelphia, OH) | 56–50–9 | 1896 | Annual, last Friday in October. One of the oldest rivalries in the state. | |\n| Adrian High School (Adrian, MI) | Monroe High School (Monroe, MI) | | 1896 | Annual game. Usually the last game of the season. | |\n| Lower Merion High School (Ardmore, PA) | Radnor High School (Radnor, PA) | 56–53–11 | 1897 | Annual football game; The oldest continuously played public high school football rivalry in the country. Radnor High School grants the students of the school a half-day on the next school day if the school beats Lower Merion. | |\n| Middletown High School (Middletown, NY) | Port Jervis High School (Port Jervis, NY) | 69–55–7 | 1897 | Annual football game; played for the Erie Bell from a railroad linking the two Orange County, NY cities. Middletown won the most recent meeting 37-14. | |\n| East Orange High School (East Orange, NJ) | Barringer High School (Newark, NJ) | | 1897 | Annual football game. Traditionally played on Thanksgiving Day. John Amos played in series, Dionne Warwick was a cheerleader in 1957. | |\n| Lewiston High School (Lewiston, ME) | Edward Little High School (Auburn, ME) | 93-70-12 | 1897 | The 175th Battle of the Bridge was won by Lewiston in 2017. | |\n| LaSalle-Peru High School (LaSalle, IL) | Ottawa Township High School (Ottawa, IL) | 63–50–5 | 1898 | The Ottawa Pirates and LaSalle-Peru Cavaliers are one of the longest football rivalries in the State of Illinois still active. LaSalle-Peru won 2017 game 17-7. | |\n| Webster Groves High School (Webster Groves, MO) | Kirkwood High School (Kirkwood, MO) | 54–49–7 | 1898 | The rivalry began on November 18, 1898 and was first played on Thanksgiving Day in 1907 as the first championship game in St. | |\n| Sherman High School (Sherman, TX) | Denison High School (Denison, TX) | 68-42-8 | 1898 | The annual \"Battle of the Ax,\" featuring the two largest high schools in the region of Texas commonly known as Texomaland, is among the oldest high school football rivalries in the state of Texas. | |\n| Ironton High School (Ironton, OH) | Portsmouth High School (Portsmouth, OH) | 58–58–9 | 1899 | This is the oldest rivalry in southern Ohio and the fourth-oldest in the entire state. The first meeting was a scoreless tie on November 30, 1899, at modern-day Moulton's Field in Ironton. | |\n| Shenandoah Valley High School (Shenandoah, Pennsylvania) | Mahanoy Area High School (Mahanoy City, Pennsylvania) | 57–39–6 | 1899 | \"The Backyard Brawl\". 103rd meeting in 2011. | |\n| Reading Memorial High School (Reading, MA) | Stoneham High School (Stoneham, MA) | 61–24–8 | 1899 | Annual football game. Traditionally played on Thanksgiving Day. Has been played continuously since 1923. | |\n| Troy High School (Troy, OH) | Piqua High School (Piqua, OH) | 62–62–6 | 1899 | Annual football game. Has been played continuously since 1911 and has had 130 meetings. | |\n| Carmi-White County High School (Carmi, IL) | Fairfield Community High School (Fairfield, IL) | 60–41–6 | 1899 | Annual football game. Have played for the Rotary Wheel trophy since 2005 (Fairfield leads trophy series 4-2) | |\n| Marlborough High School (Marlborough, MA) | Hudson High School (Hudson, MA) | 60–44–5 | 1900 | Annual Thanksgiving football game. It is one of the oldest rivalries in Central Mass. | |\n| Westfield High School (Westfield, NJ) | Plainfield High School (Plainfield, NJ) | 57–45–7 | 1900 | Annual Thanksgiving football game. Celebrated 100th game in 2005. | |\n| Yoakum High School (Yoakum, TX) | Cuero High School (Cuero, TX) | 53–51–0 | 1900 | The oldest small school rivalry in Texas. One of the intense rivalries in the nation, notwithstanding its lack of competitiveness – Cuero went undefeated for 42 consecutive years from 1969 to 2011. | |\n| Melrose High School (Melrose, MA) | Wakefield High School (Wakefield, MA) | 51–38–6 | 1901 | Annual football game. Have played continuously since 1918. Have played on Thanksgiving since 1960. | |\n| Woodberry Forest School (Woodberry Forest, VA) | Episcopal High School (Alexandria, VA) | 57–49–9 | 1901 | Annual football game. This is the longest consecutive high school rivalry in the South. | |\n| Dunkirk High School (Dunkirk, NY) | Fredonia High School (Fredonia, NY) | 63–43–11 | 1901 | Annual game. One of the longest running rivalries in Western New York. | |\n| Pottsville High School (Pottsville, PA) | Shamokin Area High School (Shamokin, PA) | 50–20–0 | 1901 | Anthracite \"Hard\" Coal Region Eastern Pennsylvania Football clash. Schools separated by 27 miles via PA Route 901. | |\n| Benedictine Military School (Savannah, GA) | Savannah High School (Savannah, GA) | 51–47–8 | 1902 | The oldest high school football rivalry in the state of Georgia; it used to be played on Thanksgiving Day before 1960. | |\n| Fremont Ross High School (Fremont, OH) | Findlay High School (Findlay, OH) | 57–34–3 | 1902 | Findlay won first game of series on Oct. 17, 1902, but since Fremont is 57-33-3. | |\n| Logansport High School (Logansport, Indiana) | Peru High School (Peru, Indiana) | 58-50-5 | 1902 | Annual football game. Peru-Logansport Rivalry. | |\n| Blair Academy (Blairstown, NJ) | Peddie School (Hightstown, NJ) | 54–49–5 | 1903 | One of the oldest rivalries in New Jersey, has met every year since 1902, with the exception of one year due to a polio outbreak in 1944. | |\n| Dodge City High School, (Dodge City, KS) | Garden City High School, (Garden City, KS) | 70–35–4 | 1903 | An annual game, nicknamed the \"Hatchet Game,\" in which the winner receives a traveling trophy (a hatchet). It is the second oldest rivalry game in Kansas. | |\n| Wooster High School, (Wooster, OH) | Orrville High School, (Orrville, OH) | 56–43–9 (through 2018) | 1903 | Annual. The longest running rivalry in Wayne County, Ohio and 6th longest in Ohio. | |\n| Parkersburg High School (Parkersburg, WV) | Marietta High School (Marietta, OH) | 74–27–6 | 1903 | The Battle for the Mid-Ohio Valley has been waged between PHS (West Virginia) and MHS (Ohio) for over a century. There have been 108 meetings between the two schools. | |\n| Shelton High School (Shelton, CT) | Derby High School (Derby, CT) | 52–42–7 | 1904 | Annual Thanksgiving football game. It draws upwards of 10,000 people. | |\n| Round Valley High School (Eagar, AZ) | St. Johns High School (St. Johns, AZ) | | 1904 | | |\n| Newburgh Free Academy (Newburgh, New York) | Kingston High School (Kingston, New York) | 56-51-5 | 1905 | Played annually since 1919. One of the oldest rivalries in New York State. | |\n| La Junta High School (La Junta, CO) | Lamar High School (Lamar, CO) | 55–47–1 | 1905 | One of the oldest rivalries in Colorado. The Savages and Tigers have recently played for a train whistle in what has been dubbed the \"Whistle Game,\" similar to Pueblo's \"Bell Game.\" This tradition began in 2002. | |\n| Green Bay East High School (Green Bay, WI) | Green Bay West High School (Green Bay, WI) | 51–39–3 | 1905 | One of the oldest rivalries in Wisconsin. First unofficial game took place in 1895. | |\n| Mount Carmel High School (Chicago, IL) | St. Rita of Cascia High School (Chicago, IL) | 56–27–0 | 1905 | One of the oldest rivalries in the Chicago Catholic League. Games generally draw crowds of close to 10,000. | |\n| Baylor School (Chattanooga, TN) | The McCallie School (Chattanooga, TN) | 43–36–3 | 1905 | The oldest rivalry in Tennessee. Called the \"cross-river\" rivalry because the two schools are separated by the Tennessee River in Chattanooga. | |\n| Dover High School (Dover, NH) | Spaulding High School (Rochester, NH) | 66–46–8 | 1906 | One of the oldest and fiercest rivalries in New Hampshire. The first game in 1906 was a 0-0 tie. | |\n| Douglas High School (Douglas, AZ) | Bisbee High School (Bisbee, AZ) | 76—57—8 | 1906 | \"The (Copper) Pick\" began in 1906, a contest between the high schools of two mining towns in southeast Arizona. | |\n| Pottsville High School (Pottsville, Pennsylvania) | Mount Carmel High School (Mount Carmel, Pennsylvania) | 29–29–2 | 1906 | Anthracite \"Hard\" Coal Region Eastern Pennsylvania Football clash. Schools separated by 18 miles via PA Route 901. | |\n| Easton Area High School (Easton, PA) | Phillipsburg High School (Phillipsburg, NJ) | 63–42–5 | 1906 | The two cities are located in separate states, separated by a bridge that crosses the Delaware River. First nationally televised high school football game-1988. | |\n| Aberdeen High School (Aberdeen, WA) | Hoquiam High School (Hoquiam, WA) | 62–35–5 | 1906 | The oldest high school football rivalry in the state of Washington. It had been the longest running football rivalry in the state until 1996 when Hoquiam High School cancelled the final three weeks of the season due to drug and alcohol violations. | |\n| Bellaire High School (Bellaire, OH) | Martins Ferry High School (Martins Ferry, OH) | 53–48–7 | 1907 | 7th oldest rivalry in the state of Ohio. Also both teams are in the top 10 in Ohio and top 100 in the nation in all-time wins. | |\n| Haynesville Senior High School (Haynesville, LA) | Homer High School (Homer, LA) | 71-31-5 | 1907 | Annual game and oldest high school football rivalry in the state of Louisiana, known as the \"Claiborne Parish Super Bowl.\" The most notable game in the series was for the 1971 2A state title; it ended in a tie, but HSHS was awarded the trophy, because they had more first downs. | |\n| Auburn Senior High School (Auburn, WA) | Kent-Meridian High School (Kent, WA) | 47–47–13 | 1908 | The second oldest high school football rivalry in Washington as well as the longest running rivalry. The winner of each year's game wins and displays the Taylor Trophy which was first presented by Dr. | |\n| Sikeston High School (Sikeston, MO) | Charleston High School (Charleston, MO) | 90–34–4 | 1908 | Separated by 12 miles, it is considered by some pundits to be the oldest rivalry west of the Mississippi River in terms of number of games played. | |\n| Santa Cruz High School (Santa Cruz, CA) | Watsonville High School (Watsonville, CA) | | 1908 | | |\n| Palmyra High School, (Palmyra, NJ) | Burlington City High School, (Burlington, NJ) | 56–47–12 | 1908 | Annual Thanksgiving game; one of the oldest rivalries in New Jersey and the Philadelphia metropolitan area. | |\n| Brookfield High School, (Brookfield, MO) | Marceline High School, (Marceline, MO) | 39–36–1 | 1909 | Separated by 9 miles, this heated rivalry is one of the oldest in Missouri. | |\n| Whitman-Hanson Regional High School, (Whitman, MA) | Abington High School, (Abington, MA) | 53-38-5 (through 2010) | 1910 | Has been an annual Thanksgiving Contest since 1910, only skipping 1912. | |\n| Asheville School (Asheville, NC) | Christ School (Arden, NC) | 50-36-4 | 1911 | Has been played annually since 1911. The Asheville School Blues have the winning record, with the Christ School Greenies having won the contest every year since 2011. | |\n| Portland High School (Portland, ME) | Deering High School (Portland, ME) | 54–36–7 | 1911 | Annual Thanksgiving football game played the week after the state football championship. This is the only annual Thanksgiving game in Maine. | |\n| Mayfield High School, Mayfield, KY | Paducah Tilghman High School, Paducah, KY | 49–46–9 (according to MHS) or 47–47–10 (according to PTHS) | 1911 | Second-oldest rivalry in Kentucky. Oldest rivalry in western Kentucky. | |\n| Stonington High School (Stonington, Connecticut) | Westerly High School (Westerly, Rhode Island) | 74–66–17 | 1911 | Annual Thanksgiving football game; teams used to play twice a year. In terms of games, no two high school football teams have played as many games against each other. | |\n| El Campo High School (El Campo, Texas) | Bay City High School (Bay City, Texas) | 55–43–8 | 1911 | Longest continual rivalry in Texas - the Ricebirds and Blackcats have played every year since 1920. | |\n| Bluefield High School (Bluefield, West Virginia) | Graham High School (Bluefield, Virginia) | 63-24-2 | 1911 | \"The Battle of the Bluefields\" is the classic Beaver/Graham football game. The backyard brawl between cross-border rivals, Bluefield High School Beavers on the West Virginia side and Graham High School G-Men from the Virginia side, is the area's largest sporting event. | |\n| Texas High School, (Texarkana, Texas) | Arkansas High School, (Texarkana, Arkansas) | | 1912 | Long-standing rivalry between twin cities separated by a state line. | |\n| Geneva High School, (Geneva, IL) | Batavia High School, (Batavia, IL) | 51–43–5 | 1913 | A heated rivalry between two teams that are only separated by a border. | |\n| Jackson High School, (Jackson, MO) | Cape Central High School, ( Cape Girardeau, MO) | 63–35–5 | 1913 | Jackson and Cape play only 11 miles from each other, separated only by class, with Jackson in 5A, and Cape in 4A. | |\n| Evanston Township High School, (Evanston, IL) | New Trier High School, (Winnetka, IL) | 54–45–4 | 1913 | Evanston leads the all-time series, but as of the end of the 2014-2015 season, New Trier had won 17 of the last 20 games. | |\n| Valdosta High School, (Valdosta, GA) | Colquitt County High School, (Moultrie, GA) | 29–70–4 | 1913 | Valdosta leads the all-time series, but as of September 22, 2017 the Colquitt County Packers have won the last 5 games in the series. | |\n| Abington Senior High School | Cheltenham High School | 54–34–6 | 1915 | The fifth-oldest public high school football rivalry in Pennsylvania, the seventh of all schools. The rivalry is between the senior high schools of neighboring Abington and Cheltenham townships. | |\n| Napoleon High School (Napoleon, Ohio) | Defiance High School (Defiance, Ohio) | 49-39-2 | 1916 | Dubbed the \"Maumee River Rivalry\" because the 2 towns are located approximately 15 miles apart with both situated on the Maumee River. | |\n| Hollywood High School (Hollywood, California) | Van Nuys High School (Van Nuys, California) | | 1916 | One of the oldest high school rivalries in Los Angeles. Both high schools have graduated a number of famous Hollywood celebrities, and NFL Hall-of-Famer Bob Waterfield was a VNHS alum. | |\n| Thomasville High School (Thomasville, AL) | Clarke County High School (Grove Hill, AL) | 61-30-8 | 1917 | Separated by 15 miles, the two compete in a three-way rivalry similar to the Army-Navy-Air Force rivalry. | |\n| Jackson High School (Jackson, AL) | Clarke County High School (Grove Hill, AL) | 63-29-8 | 1917 | Separated by 15 miles, the two compete in a three-way rivalry similar to the Army-Navy-Air Force rivalry. | |" + } + ] + }, + { + "id": "table_recognition_train_item_105010", + "image": "table_instructV/images/ToTTo_train_table_21067.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| India | v | Bangladesh |\n| --- | --- | --- |\n| 687/6d (166 overs) Virat Kohli 204 (246) Taijul Islam 3/156 (47 overs) | | 388 (127.5 overs) Mushfiqur Rahim 127 (262) Umesh Yadav 3/84 (25 overs) |\n| 159/4d (29 overs) Cheteshwar Pujara 54* (58) Taskin Ahmed 2/43 (7 overs) | | 250 (100.3 overs) Mahmudullah 64 (149) Ravichandran Ashwin 4/73 (30.3 overs) |" + } + ] + }, + { + "id": "table_recognition_train_item_33741", + "image": "table_instructV/images/TABMWP_32148.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Location | Elevation (m) |\n| --- | --- |\n| Top of the skyscraper | 275 |\n| Bottom of the mine | -260 |" + } + ] + }, + { + "id": "table_recognition_train_item_107323", + "image": "table_instructV/images/ToTTo_train_table_30731.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Name | Term From | Term Until | Relationship to predecessor(s) | Notes |\n| --- | --- | --- | --- | --- |\n| Thawun Gyi | 17 April 1279 | c. 23 June 1317 | Son of Thawun Letya | Vassal of Pagan (1279–87); assassinated |\n| Thawun Nge | c. 23 June 1317 | 1324 | Brother | Independent (1317–18); Vassal of Pinya (1318–24) |\n| Saw Hnit | 1324 | 1325 | Son | Vassal of Pinya; assassinated |\n| Kayin Ba | 1325 | c. May 1342 | No relations; usurper | Vassal of Pinya |\n| Letya Sekkya | c. May 1342 | c. May 1344 | Son-in-law | Vassal of Pinya; assassinated |\n| Htauk Hlayga | c. May 1344 | c. January 1347 | Brother; usurper | Vassal of Pinya; assassinated |\n| Theingaba | c. January 1347 | 29 March 1367 | No relations; usurper | Independent/in rebellion (1358–67) |\n| Pyanchi I | 29 March 1367 | c. November 1375 | Son | Vassal of Ava; assassinated |\n| Ma Sein | c. November 1375 | c. January 1376 | Usurper | Vassal of Hanthawaddy Pegu; assassinated |\n| Pyanchi II | c. January 1376 | 1379 | Son of Pyanchi I | Vassal of Ava; assassinated |\n| Sokkate | 1379 | 1383 | Brother-in-law | Vassal of Ava; assassinated |\n| Phaungga | 1383 | 1397 | Usurper | Vassal of Ava |\n| Saw Oo I | 1397 | 1399 | Son | Removed from office |\n| Min Nemi | 1399 | 1408/09 | No relations, appointed | |\n| Letya Zeya Thingyan | 1408/09 | 1411/12 | Appointed | Moved to become governor of Pyinzi |\n| Thinkhaya I | 1411/12 | 1415 | Appointed | |\n| Thinkhaya II | 1415 | 1418/19 | Son | KIA |\n| Pantaung | 1419 | 1420 | Appointed | Interim governor |\n| Thinkhaya III | 1420 | 1435 | Appointed | Independent/in rebellion (1426–35) |\n| Uzana | 1435 | 1436 | Son-in-law; Appointed | Independent/in rebellion; Vassal of Hanthawaddy; Removed from office by Binnya Ran I |\n| Saw Oo II | 1436 | 1440 | Son of Thinkhaya III | Independent/in rebellion; killed in action |\n| Tarabya | 1440 | 2 January 1446 | Appointed | Vassal of Ava |\n| Minkhaung I | 2 January 1446 | 1451 | Son | Vassal of Ava; assassinated |\n| Minye Kyawhtin | 1451 | 1459 | Usurper; son of Crown Prince Minye Kyawswa | Independent/in rebellion (1451–59); assassinated |\n| Thiri Zeya Thura | 1459 | 1466 | Appointed | Removed from office |\n| Letya Zala Thingyan | 1466 | 1470 | Appointed | Independent/in revolt (1470); deposed |\n| Sithu Kyawhtin | 1470 | 1481 | Appointed | Vassal of Ava; died in action |\n| Min Sithu | 1481 | c. April 1485 | Son | Vassal of Ava; assassinated |\n| Mingyi Nyo | c. April 1485 | 24 November 1530 | Nephew | Declared independence from Ava in 1510 |\n| Tabinshwehti | 24 November 1530 | 1540 | Son | Moved seat of government to Bago (Pegu) in 1539 |\n| Mingyi Swe | 1540 | March 1549 | Appointed; father of Bayinnaung | |\n| Minkhaung II | March 1549 | 11 January 1551 | Appointed | Independent/in rebellion (1550–51) |\n| Bayinnaung | 11 January 1551 | 12 March 1552 | Elder brother | |\n| Minkhaung II | 6 June 1552 | June 1584 | Younger brother; re-appointed | |\n| Minye Thihathu II | June 1584 | 11 August 1609 | Son | Independent/in rebellion (1597–1609) |\n| Natshinnaung | 11 August 1609 | August 1612 | Son; appointed 1610–12 | Independent/in rebellion (1609–10) |" + } + ] + }, + { + "id": "table_recognition_train_item_33514", + "image": "table_instructV/images/TABMWP_30071.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Number of desks | Number of pencils |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | 40 |\n| 5 | 50 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_102427", + "image": "table_instructV/images/ToTTo_train_table_10130.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Year | Team | GP | Points | FG% | 3P% | FT% | RPG | APG | SPG | BPG | PPG |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2012-13 | South Florida | 33 | 245 | 41.9 | 32.4 | 72.5 | 3.4 | 0.9 | 0.8 | 0.4 | 7.4 |\n| 2013-14 | South Florida | 36 | 586 | 43.8 | 27.4 | 76.7 | 7.5 | 2.4 | 1.0 | 0.5 | 16.3 |\n| 2014-15 | South Florida | 35 | 710 | 42.0 | 36.9 | 78.9 | 7.5 | 3.3 | 1.6 | 0.9 | 20.3 |\n| 2015-16 | South Florida | 34 | 763 | 42.6 | 38.2 | 69.7 | 8.4 | 2.6 | 1.3 | 0.9 | 22.4 |\n| Career | South Florida | 138 | 2304 | 42.6 | 35.3 | 74.6 | 6.7 | 2.3 | 1.2 | 0.7 | 16.7 |" + } + ] + }, + { + "id": "table_recognition_train_item_102419", + "image": "table_instructV/images/ToTTo_train_table_10104.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | 14–6 (1) | Austin Arnett | Decision (unanimous) | UFC Fight Night: Magny vs. Ponzinibbio | November 17, 2018 | 3 | 5:00 | Buenos Aires, Argentina | |\n| Loss | 14–5 (1) | Gabriel Benítez | KO (slam) | UFC Fight Night: Maia vs. Usman | May 19, 2018 | 1 | 0:39 | Santiago, Chile | |\n| Win | 14–4 (1) | Martin Bravo | KO (knee) | UFC Fight Night: Pettis vs. Moreno | August 5, 2017 | 1 | 0:25 | Mexico City, Mexico | Performance of the Night. |\n| Win | 13–4 (1) | Salim Mukhidinov | Submission (armbar) | KOTC: Groundbreaking | May 6, 2017 | 1 | 2:40 | San Jacinto, United States | |\n| Win | 12–4 (1) | Vicente Vargas | Submission (rear-naked choke) | Fusion Fighting Championship 25 | February 22, 2017 | 3 | 2:40 | Lima, Peru | |\n| Win | 11–4 (1) | Alonso Santos Verona Ganoza | Submission (armbar) | Redemption Fighters 2 | November 24, 2016 | 1 | 4:42 | Lima, Peru | |\n| Win | 10–4 (1) | Henry Moya | TKO (doctor stoppage) | Fusion Fighting Championship 21 | July 20, 2016 | 2 | 2:6 | Lima, Peru | |\n| Win | 9–4 (1) | Sergio Hortig | KO (head kick) | Fusion Fighting Championship 20 | May 4, 2016 | 2 | 0:28 | Lima, Peru | |\n| Loss | 8–4 (1) | Arturo Chavez | Submission (rear-naked choke) | Fusion Fighting Championship 19 | February 26, 2016 | 2 | 2:41 | Lima, Peru | |\n| Win | 8–3 (1) | Jose Zarauz | TKO (punches) | Fusion Fighting Championship 18 | December 16, 2015 | 1 | 2:24 | Lima, Peru | |\n| Loss | 7–3 (1) | Alonso Santos Verona Ganoza | Submission (choke) | Fusion Fighting Championship 16 | September 30, 2015 | 1 | 4:50 | Lima, Peru | |\n| Win | 7–2 (1) | Luis Marlon Gonzales Campos | Decision (split) | Fusion Fighting Championship 15 | July 15, 2015 | 3 | 5:00 | Lima, Peru | |\n| NC | 6–2 (1) | Luis Marlon Gonzales Campos | No Contest | Fusion Fighting Championship 13 | February 25, 2015 | 3 | N/A | Lima, Peru | |\n| Win | 6–2 | Manuel Meza | Submission (triangle choke) | Trujillo Fighting Championship 2 | November 28, 2014 | 3 | 4:24 | Trujillo, Peru | |\n| Win | 5–2 | Alonso Santos Verona Ganoza | Submission (rear-naked choke) | Fusion FC 11 | October 22, 2014 | 1 | NA | Lima, Peru | |\n| Win | 4–2 | Jesus Pinedo | Decision (split) | Inka FC 26 | May 24, 2014 | 3 | 5:00 | Lima, Peru | |\n| Loss | 3–2 | Enrique Barzola | Decision (split) | Inka FC 25 | May 24, 2014 | 3 | 5:00 | Lima, Peru | |\n| Loss | 3–1 | Bruno Pereira da Silva | Submission (Hheel hook) | Inka FC 24 | October 23, 2013 | 1 | 1:30 | Lima, Peru | |\n| Win | 3–0 | Juan Manuel Inurritegui | Decision (unanimous) | Inka FC 22 | June 29, 2013 | 3 | 5:00 | Lima, Peru | |\n| Win | 2–0 | Luis Chang | TKO (punches) | 300 Sparta - MMA | April 24, 2013 | 1 | 0:00 | Lima, Peru | |\n| Win | 1–0 | Renzo Mendez | Submission (triangle choke) | Inka 20 | February 27, 2013 | 1 | 0:00 | Lima, Peru | |" + } + ] + }, + { + "id": "table_recognition_train_item_67826", + "image": "table_instructV/images/TabFact_2-18863597-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| children of earth | run time | writer | director | original airdate | viewers (including hd) in millions |\n| --- | --- | --- | --- | --- | --- |\n| day one | 1 hour | russell t davies | euros lyn | 6 july 2009 | 6.472 (6.601) |\n| day two | 1 hour | john fay | euros lyn | 7 july 2009 | 6.136 (6.248) |\n| day three | 1 hour | russell t davies and james moran | euros lyn | 8 july 2009 | 6.397 (6.557) |\n| day four | 1 hour | john fay | euros lyn | 9 july 2009 | 6.756 (6.883) |\n| day five | 1 hour | russell t davies | euros lyn | 10 july 2009 | 6.581 (6.732) |" + } + ] + }, + { + "id": "table_recognition_train_item_33386", + "image": "table_instructV/images/TABMWP_28820.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 7 | 0 |\n| 8 | 10 |\n| 9 | 20 |" + } + ] + }, + { + "id": "table_recognition_train_item_60148", + "image": "table_instructV/images/TabFact_2-11783766-10.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| player | position | date of birth (age) | caps | club / province |\n| --- | --- | --- | --- | --- |\n| bill gadolo | hooker | may 1 , 1977 (age36) | 19 | barbarians |\n| sunia koto | hooker | april 15 , 1980 (age33) | 14 | warriors |\n| vereniki sauturaga | hooker | november 18 , 1982 (age31) | 1 | warriors |\n| graham dewes | prop | january 24 , 1982 (age32) | 3 | marist |\n| henry qiodravu | prop | february 8 , 1977 (age36) | 13 | orlãans |\n| jone railomo | prop | february 26 , 1981 (age32) | 1 | poitiers |\n| alefoso yalayalatabua | prop | january 22 , 1977 (age37) | 4 | warriors |\n| isoa domolailai | lock | january 13 , 1981 (age33) | 12 | toulon |\n| kele leawere | lock | april 27 , 1974 (age39) | 15 | hino motors |\n| wame lewaravu | lock | september 24 , 1983 (age30) | 2 | barbarians |\n| ifereimi rawaqa | lock | september 20 , 1980 (age33) | 34 | fighting bull |\n| semisi naevo | flanker | march 3 , 1976 (age37) | 2 | green rockets |\n| akapusi qera | flanker | april 24 , 1984 (age29) | 12 | pertemps bees |\n| aca ratuva | flanker | december 30 , 1978 (age35) | 11 | massy |\n| netani talei | flanker | march 19 , 1983 (age30) | 6 | doncaster knights |\n| sisa koyamaibole | number 8 | march 6 , 1981 (age32) | 44 | petrarca padova |\n| jone qovu | number 8 | august 27 , 1985 (age28) | 8 | warriors |\n| jone daunivucu | scrum - half | june 1 , 1977 (age36) | 1 | tarbes |\n| mosese rauluni ( c ) | scrum - half | june 27 , 1975 (age38) | 35 | saracens |\n| nicky little | fly - half | september 13 , 1976 (age37) | 79 | petrarca padova |\n| waisea luveniyali | fly - half | july 23 , 1985 (age28) | 1 | warriors |\n| seremaia bai ( vc ) | centre | january 4 , 1979 (age35) | 28 | clermont |\n| maleli kunavore | centre | august 12 , 1983 (age30) | 5 | toulouse |\n| gabiriele lovobalavu | centre | june 20 , 1985 (age28) | 4 | warriors |\n| seru rabeni | centre | december 27 , 1978 (age35) | 26 | leicester tigers |\n| sireli bobo | wing | january 28 , 1976 (age38) | 9 | biarritz |\n| vilimoni delasau | wing | july 12 , 1977 (age36) | 24 | clermont |\n| isoa neivua | wing | june 7 , 1978 (age35) | 6 | warriors |\n| norman ligairi | fullback | january 29 , 1976 (age38) | 39 | brive |\n| kameli ratuvou | fullback | november 6 , 1982 (age31) | 15 | saracens |" + } + ] + }, + { + "id": "table_recognition_train_item_58746", + "image": "table_instructV/images/TabFact_2-15089329-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| name | faith | type | opened | intake | dcsf number | ofsted number |\n| --- | --- | --- | --- | --- | --- | --- |\n| bridgewater | - | middle | 1972 | 95 | 4144 | 117541 |\n| greenway | - | first | 1966 | 60 | 2326 | 117276 |\n| potten end | ce | first | 1856 | 30 | 3042 | 117414 |\n| northchurch st mary 's | ce | first | 1864 | 30 | 3315 | 117424 |\n| st thomas more | rc | primary | 1966 | 30 | 3402 | 117479 |\n| swing gate | - | first | 1968 | 30 | 2301 | 117260 |\n| thomas coram | ce | middle | 1970 | 95 | 4627 | 117559 |\n| victoria | ce | first | 1897 | 42 | 3314 | 117423 |\n| westfield | - | first | 1962 | 30 | 2288 | 117254 |" + } + ] + }, + { + "id": "table_recognition_train_item_116875", + "image": "table_instructV/images/Rotowire_train_table_2780.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Celtics | Boston | 116 | 24 | 28 | 31 | 33 | 26 | 38 | 13 | 47 | 79 | 47 | 39 | 26 | | | | |\n| Grizzlies | Memphis | 96 | 26 | 29 | 12 | 29 | 20 | 48 | 19 | 38 | 81 | 27 | 38 | 26 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Isaiah Thomas | 29 | 22 | 3 | 5 | 7-18 | 39% | 2-6 | 33% | 6-8 | 75% | 1 | 1 | 0 | 0 | 3 | 1 | G | Boston |\n| Evan Turner | 30 | 16 | 4 | 8 | 6-10 | 60% | 1-1 | 100% | 3-4 | 75% | 1 | 3 | 0 | 1 | 3 | 2 | N/A | Boston |\n| Jae Crowder | 22 | 15 | 2 | 1 | 5-12 | 42% | 3-6 | 50% | 2-2 | 100% | 2 | 1 | 1 | 1 | 1 | 4 | F | Boston |\n| Avery Bradley | 36 | 15 | 2 | 3 | 6-14 | 43% | 3-8 | 38% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 3 | G | Boston |\n| Jared Sullinger | 21 | 12 | 5 | 2 | 5-11 | 46% | 0-0 | 0% | 2-3 | 67% | 3 | 2 | 0 | 0 | 5 | 3 | C | Boston |\n| Jonas Jerebko | 23 | 11 | 5 | 0 | 3-4 | 75% | 3-4 | 75% | 2-2 | 100% | 1 | 1 | 1 | 1 | 4 | 4 | N/A | Boston |\n| Marcus Smart | 28 | 10 | 5 | 3 | 4-9 | 44% | 2-6 | 33% | 0-0 | 0% | 1 | 2 | 0 | 2 | 3 | 5 | N/A | Boston |\n| Tyler Zeller | 26 | 9 | 7 | 1 | 3-4 | 75% | 0-0 | 0% | 3-3 | 100% | 0 | 1 | 1 | 1 | 6 | 3 | N/A | Boston |\n| RJ Hunter | 2 | 3 | 0 | 0 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Boston |\n| Amir Johnson | 18 | 3 | 2 | 2 | 1-3 | 33% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 1 | 1 | 1 | 2 | F | Boston |\n| Jordan Mickey | 2 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 3 | 0 | 0 | 0 | N/A | Boston |\n| Terry Rozier | 2 | 0 | 2 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Boston |\n| James Young | 2 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Boston |\n| Grizzlies | | | | | | | | | | | | | | | | | | |\n| JaMychal Green | 37 | 17 | 13 | 2 | 6-12 | 50% | 0-1 | 0% | 5-6 | 83% | 0 | 4 | 2 | 4 | 9 | 4 | F | Memphis |\n| Vince Carter | 27 | 17 | 6 | 3 | 5-9 | 56% | 4-6 | 67% | 3-4 | 75% | 3 | 2 | 1 | 0 | 6 | 3 | N/A | Memphis |\n| Jarell Martin | 23 | 16 | 6 | 1 | 7-10 | 70% | 0-0 | 0% | 2-3 | 67% | 0 | 1 | 1 | 4 | 2 | 5 | N/A | Memphis |\n| Matt Barnes | 34 | 12 | 2 | 4 | 4-16 | 25% | 2-11 | 18% | 2-2 | 100% | 1 | 3 | 2 | 1 | 1 | 4 | F | Memphis |\n| Tony Allen | 27 | 12 | 5 | 2 | 4-9 | 44% | 0-0 | 0% | 4-6 | 67% | 2 | 4 | 0 | 2 | 3 | 2 | G | Memphis |\n| Mario Chalmers | 22 | 11 | 5 | 5 | 1-7 | 14% | 1-3 | 33% | 8-8 | 100% | 1 | 2 | 1 | 1 | 4 | 2 | G | Memphis |\n| Ryan Hollins | 25 | 7 | 6 | 0 | 3-5 | 60% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 2 | 4 | 0 | C | Memphis |\n| PJ Hairston | 25 | 2 | 3 | 0 | 1-8 | 13% | 0-4 | 0% | 0-0 | 0% | 1 | 0 | 0 | 2 | 1 | 0 | N/A | Memphis |\n| Lance Stephenson | 21 | 2 | 2 | 3 | 1-8 | 13% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 2 | N/A | Memphis |\n| Chris Andersen | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Zach Randolph | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Mike Conley | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |" + } + ] + }, + { + "id": "table_recognition_train_item_113105", + "image": "table_instructV/images/Rotowire_train_table_895.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hawks | Atlanta | 101 | 25 | 21 | 26 | 29 | 29 | 42 | 11 | 46 | 83 | 31 | 56 | 18 | | | | |\n| Bucks | Milwaukee | 88 | 20 | 19 | 25 | 24 | 26 | 39 | 11 | 45 | 70 | 24 | 36 | 38 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hawks | | | | | | | | | | | | | | | | | | |\n| DeMarre Carroll | 34 | 23 | 8 | 5 | 9-13 | 69% | 2-6 | 33% | 3-5 | 60% | 0 | 1 | 2 | 3 | 5 | 1 | F | Atlanta |\n| Al Horford | 34 | 18 | 7 | 2 | 8-18 | 44% | 0-2 | 0% | 2-2 | 100% | 0 | 0 | 2 | 2 | 5 | 2 | C | Atlanta |\n| Paul Millsap | 35 | 15 | 9 | 2 | 6-10 | 60% | 0-2 | 0% | 3-4 | 75% | 2 | 1 | 0 | 2 | 7 | 4 | F | Atlanta |\n| Thabo Sefolosha | 13 | 11 | 4 | 0 | 4-6 | 67% | 1-1 | 100% | 2-2 | 100% | 1 | 0 | 0 | 2 | 2 | 2 | N/A | Atlanta |\n| Kyle Korver | 34 | 11 | 1 | 5 | 4-10 | 40% | 3-9 | 33% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 4 | G | Atlanta |\n| Pero Antic | 15 | 8 | 2 | 1 | 2-4 | 50% | 0-1 | 0% | 4-5 | 80% | 1 | 1 | 0 | 1 | 1 | 1 | N/A | Atlanta |\n| Jeff Teague | 29 | 8 | 4 | 9 | 2-8 | 25% | 2-2 | 100% | 2-2 | 100% | 0 | 5 | 0 | 1 | 3 | 4 | G | Atlanta |\n| Dennis Schroder | 6 | 4 | 1 | 1 | 0-2 | 0% | 0-1 | 0% | 4-4 | 100% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Atlanta |\n| Mike Muscala | 12 | 3 | 3 | 0 | 1-4 | 25% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 2 | N/A | Atlanta |\n| Shelvin Mack | 13 | 0 | 1 | 4 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 0 | N/A | Atlanta |\n| Kent Bazemore | 15 | 0 | 2 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 0 | N/A | Atlanta |\n| John Jenkins | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Elton Brand | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Bucks | | | | | | | | | | | | | | | | | | |\n| Giannis Antetokounmpo | 38 | 18 | 6 | 4 | 7-9 | 78% | 0-0 | 0% | 4-4 | 100% | 0 | 1 | 0 | 2 | 4 | 3 | F | Milwaukee |\n| Zaza Pachulia | 36 | 17 | 13 | 3 | 8-10 | 80% | 0-0 | 0% | 1-3 | 33% | 1 | 0 | 0 | 5 | 8 | 2 | C | Milwaukee |\n| Jerryd Bayless | 31 | 14 | 1 | 5 | 4-8 | 50% | 2-4 | 50% | 4-5 | 80% | 0 | 2 | 0 | 0 | 1 | 3 | N/A | Milwaukee |\n| Ersan Ilyasova | 29 | 12 | 5 | 0 | 4-13 | 31% | 2-4 | 50% | 2-4 | 50% | 0 | 1 | 1 | 1 | 4 | 2 | F | Milwaukee |\n| Khris Middleton | 36 | 12 | 4 | 4 | 6-14 | 43% | 0-5 | 0% | 0-0 | 0% | 2 | 1 | 0 | 0 | 4 | 3 | G | Milwaukee |\n| Johnny O'Bryant III | 12 | 7 | 0 | 1 | 3-4 | 75% | 0-0 | 0% | 1-1 | 100% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Milwaukee |\n| Michael Carter-Williams | 21 | 4 | 2 | 5 | 1-6 | 17% | 0-1 | 0% | 2-2 | 100% | 1 | 4 | 0 | 1 | 1 | 1 | G | Milwaukee |\n| John Henson | 18 | 2 | 4 | 1 | 1-6 | 17% | 0-0 | 0% | 0-2 | 0% | 0 | 1 | 1 | 3 | 1 | 2 | N/A | Milwaukee |\n| O.J. Mayo | 13 | 2 | 4 | 2 | 0-5 | 0% | 0-3 | 0% | 2-2 | 100% | 0 | 0 | 0 | 1 | 3 | 3 | N/A | Milwaukee |\n| Tyler Ennis | 3 | 0 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Milwaukee |\n| Miles Plumlee | 3 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Milwaukee |\n| Jared Dudley | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |" + } + ] + }, + { + "id": "table_recognition_train_item_50320", + "image": "table_instructV/images/TAT-QA_b1f636b6-497b-46d7-b081-3351ab59d85b.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| | Option Awards | | Stock Awards | |\n| --- | --- | --- | --- | --- |\n| Name | Number of Shares Acquired on Exercise (#) | Number of Value Realized on Exercise ($)(1) | Shares Acquired on Vesting of RSUs and RSAs (#) (2) | Value Realized on Vesting of RSUs and RSAs ($) (3) |\n| Mr. Dorsey | — | — | — | — |\n| Ms. Friar | 1,082,343 | 54,631,297 | 95,889 | 5,788,657 |\n| Ms. Henry | 200,000 | 13,187,645 | 124,498 | 7,475,787 |\n| Ms. Reses | — | — | 189,577 | 11,284,454 |\n| Ms. Whiteley | 20,625 | 989,821 | 38,156 | 2,375,984 |\n| Mr. Daswani | — | — | 45,310 | 3,106,268 |\n| Mr. Murphy | — | — | 18,024 | 1,120,072 |" + } + ] + }, + { + "id": "table_recognition_train_item_52294", + "image": "table_instructV/images/TabFact_2-18887450-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| nat | name | moving from | type | transfer window | ends | transfer fee |\n| --- | --- | --- | --- | --- | --- | --- |\n| ned | engelaar | twente | transfer | summer | 2011 | 6 m |\n| per | farfán | psv | transfer | summer | 2012 | 10 m |\n| mar | amsif | youth system | promotion | summer | 2010 | n / a |\n| geo | kenia | youth system | promotion | summer | 2012 | n / a |\n| per | zambrano | youth system | promotion | summer | 2012 | n / a |" + } + ] + }, + { + "id": "table_recognition_train_item_33270", + "image": "table_instructV/images/TABMWP_27750.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $480 | 3,400 | 7,800 |\n| $540 | 3,100 | 10,800 |\n| $600 | 2,800 | 13,800 |\n| $660 | 2,500 | 16,800 |\n| $720 | 2,200 | 19,800 |" + } + ] + }, + { + "id": "table_recognition_train_item_54336", + "image": "table_instructV/images/TabFact_2-14993404-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| call sign | frequency mhz | city of license | erp w | class | fcc info |\n| --- | --- | --- | --- | --- | --- |\n| k202bp | 88.3 | bellaire , smith county , kansas | 78 | d | fcc |\n| k216ed | 91.1 | phillipsburg , kansas | 222 | d | fcc |\n| k241an | 96.1 | pratt , kansas | 250 | d | fcc |\n| k278ap | 103.5 | lewis , kansas | 171 | d | fcc |\n| k297ai | 107.3 | hill city , kansas | 170 | d | fcc |" + } + ] + }, + { + "id": "table_recognition_train_item_32297", + "image": "table_instructV/images/TABMWP_16510.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $125 | 16,700 | 1,000 |\n| $195 | 14,500 | 1,300 |\n| $265 | 12,300 | 1,600 |\n| $335 | 10,100 | 1,900 |\n| $405 | 7,900 | 2,200 |" + } + ] + }, + { + "id": "table_recognition_train_item_114685", + "image": "table_instructV/images/Rotowire_train_table_1685.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pelicans | New Orleans | 114 | 37 | 26 | 29 | 22 | 25 | 47 | 14 | 44 | 75 | 39 | 17 | 28 | | | | |\n| Kings | Sacramento | 105 | 19 | 34 | 26 | 26 | 29 | 40 | 13 | 45 | 75 | 36 | 20 | 26 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pelicans | | | | | | | | | | | | | | | | | | |\n| Ryan Anderson | 40 | 36 | 9 | 4 | 13-25 | 52% | 5-11 | 46% | 5-6 | 83% | 0 | 1 | 0 | 3 | 6 | 2 | F | New Orleans |\n| Jrue Holiday | 34 | 25 | 5 | 8 | 8-24 | 33% | 1-4 | 25% | 8-8 | 100% | 0 | 0 | 0 | 3 | 2 | 3 | N/A | New Orleans |\n| Norris Cole | 38 | 17 | 7 | 10 | 8-19 | 42% | 1-3 | 33% | 0-0 | 0% | 1 | 3 | 0 | 0 | 7 | 2 | G | New Orleans |\n| Bryce Dejean-Jones | 35 | 14 | 2 | 2 | 5-12 | 42% | 3-6 | 50% | 1-6 | 17% | 2 | 1 | 1 | 1 | 1 | 2 | G | New Orleans |\n| Alonzo Gee | 29 | 10 | 2 | 0 | 3-4 | 75% | 0-1 | 0% | 4-4 | 100% | 5 | 1 | 0 | 0 | 2 | 2 | F | New Orleans |\n| Omer Asik | 27 | 8 | 13 | 0 | 4-6 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 4 | 4 | 9 | 3 | C | New Orleans |\n| Toney Douglas | 9 | 2 | 2 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | New Orleans |\n| Alexis Ajinca | 14 | 2 | 6 | 1 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 1 | 3 | 1 | 1 | 5 | 3 | N/A | New Orleans |\n| Dante Cunningham | 8 | 0 | 1 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | New Orleans |\n| Kendrick Perkins | 6 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 1 | N/A | New Orleans |\n| Anthony Davis | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| Tyreke Evans | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| Luke Babbitt | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| Kings | | | | | | | | | | | | | | | | | | |\n| DeMarcus Cousins | 41 | 26 | 10 | 6 | 11-24 | 46% | 0-1 | 0% | 4-6 | 67% | 1 | 6 | 5 | 0 | 10 | 2 | F | Sacramento |\n| Ben McLemore | 31 | 26 | 4 | 2 | 9-17 | 53% | 5-10 | 50% | 3-4 | 75% | 1 | 0 | 0 | 1 | 3 | 3 | G | Sacramento |\n| Rajon Rondo | 38 | 17 | 6 | 15 | 7-10 | 70% | 1-2 | 50% | 2-4 | 50% | 1 | 3 | 0 | 1 | 5 | 4 | G | Sacramento |\n| Omri Casspi | 29 | 8 | 6 | 1 | 3-9 | 33% | 2-5 | 40% | 0-0 | 0% | 1 | 1 | 0 | 0 | 6 | 2 | F | Sacramento |\n| Darren Collison | 26 | 8 | 1 | 3 | 4-10 | 40% | 0-2 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 2 | N/A | Sacramento |\n| Willie Cauley-Stein | 15 | 6 | 1 | 1 | 1-2 | 50% | 0-0 | 0% | 4-4 | 100% | 0 | 0 | 1 | 0 | 1 | 2 | C | Sacramento |\n| Marco Belinelli | 20 | 6 | 1 | 0 | 2-8 | 25% | 0-3 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Sacramento |\n| James Anderson | 15 | 5 | 1 | 0 | 2-4 | 50% | 1-3 | 33% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 0 | N/A | Sacramento |\n| Quincy Acy | 19 | 3 | 9 | 0 | 1-3 | 33% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 2 | 7 | 2 | N/A | Sacramento |\n| Kosta Koufos | 7 | 0 | 1 | 1 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 2 | 0 | 1 | 3 | N/A | Sacramento |\n| Seth Curry | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Caron Butler | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Rudy Gay | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |" + } + ] + }, + { + "id": "table_recognition_train_item_62126", + "image": "table_instructV/images/TabFact_2-16514575-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| player | country | year (s) won | total | to par | finish |\n| --- | --- | --- | --- | --- | --- |\n| josé maría olazábal | spain | 1994 | 280 | - 8 | 1 |\n| bernhard langer | germany | 1985 , 1993 | 287 | - 1 | t11 |\n| ian woosnam | wales | 1991 | 288 | e | t14 |\n| tiger woods | united states | 1997 | 289 | + 1 | t18 |\n| larry mize | united states | 1987 | 290 | + 2 | t24 |\n| fred couples | united states | 1992 | 292 | + 4 | t27 |\n| mark o'meara | united states | 1998 | 293 | + 5 | t31 |\n| raymond floyd | united states | 1976 | 295 | + 7 | t38 |\n| craig stadler | united states | 1982 | 295 | + 7 | t38 |\n| sandy lyle | scotland | 1988 | 298 | + 10 | t48 |" + } + ] + }, + { + "id": "table_recognition_train_item_31043", + "image": "table_instructV/images/TABMWP_3496.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| | Fear of snakes | Fear of heights |\n| --- | --- | --- |\n| Social worker | 4 | 2 |\n| Doctor | 3 | 5 |" + } + ] + }, + { + "id": "table_recognition_train_item_33883", + "image": "table_instructV/images/TABMWP_33678.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 14 | 20 |\n| 15 | 15 |\n| 16 | 8 |" + } + ] + }, + { + "id": "table_recognition_train_item_33705", + "image": "table_instructV/images/TABMWP_31822.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 9 | 3 |\n| 9 | 4 |\n| 5 | 10 |" + } + ] + }, + { + "id": "table_recognition_train_item_55416", + "image": "table_instructV/images/TabFact_2-12963840-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| city of license | identifier | frequency | power | class | recnet |\n| --- | --- | --- | --- | --- | --- |\n| beaver creek | cbdm | 690 am | 40 s watt | lp | query |\n| carmacks | cbqf | 990 am | 40 watts | lp | query |\n| dawson city | cbdn | 560 am | 400 watts | c | query |\n| destruction bay / burwash landing | cbdl - fm | 105.1 fm | 96 watts | a | query |\n| faro | cbqk - fm | 105.1 fm | 87 watts | a1 | query |\n| haines junction | cbdf - fm | 103.5 fm | 90 watts | a1 | query |\n| mayo | cbdc | 1230 am 104.9 fm | 40 watts | lp | query |\n| ross river | cbqj | 990 am | 40 watts | lp | query |\n| teslin | cbdk | 940 am | 40 watts | lp | query |\n| watson lake | cbdb | 990 am | 40 watts | lp | query |\n| atlin , british columbia | cbua - fm | 90.1 fm | 14 watts | lp | query |\n| whitehorse , yukon | cfwh - fm - 1 | 95.3 fm | 50 watts | lp | query |" + } + ] + }, + { + "id": "table_recognition_train_item_115397", + "image": "table_instructV/images/Rotowire_train_table_2041.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pacers | Indiana | 88 | 20 | 23 | 22 | 23 | 15 | 51 | 11 | 45 | 67 | 13 | 5 | 7 | | | | |\n| Hornets | Charlotte | 86 | 28 | 21 | 17 | 20 | 18 | 41 | 5 | 43 | 58 | 36 | 4 | 8 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| Roy Hibbert | 30 | 18 | 11 | 2 | 7-14 | 50% | 0-0 | 0% | 4-6 | 67% | 0 | 2 | 1 | 0 | 11 | 3 | C | Indiana |\n| Luis Scola | 30 | 15 | 7 | 0 | 6-9 | 67% | 0-1 | 0% | 3-4 | 75% | 1 | 0 | 0 | 4 | 3 | 3 | F | Indiana |\n| Donald Sloan | 31 | 11 | 9 | 6 | 3-8 | 38% | 0-2 | 0% | 5-6 | 83% | 1 | 2 | 0 | 0 | 9 | 1 | G | Indiana |\n| Rodney Stuckey | 26 | 11 | 2 | 1 | 5-13 | 39% | 0-1 | 0% | 1-3 | 33% | 0 | 0 | 0 | 1 | 1 | 1 | N/A | Indiana |\n| A.J. Price | 17 | 7 | 0 | 2 | 3-9 | 33% | 1-5 | 20% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 2 | N/A | Indiana |\n| Chris Copeland | 27 | 6 | 2 | 2 | 2-6 | 33% | 0-3 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 2 | 0 | F | Indiana |\n| Solomon Hill | 38 | 6 | 5 | 0 | 3-8 | 38% | 0-2 | 0% | 0-0 | 0% | 0 | 3 | 0 | 1 | 4 | 0 | G | Indiana |\n| Lavoy Allen | 19 | 6 | 8 | 1 | 3-6 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 4 | 4 | 0 | N/A | Indiana |\n| Ian Mahinmi | 18 | 5 | 7 | 1 | 2-4 | 50% | 0-0 | 0% | 1-3 | 33% | 1 | 0 | 1 | 4 | 3 | 3 | N/A | Indiana |\n| Damjan Rudez | 5 | 3 | 0 | 0 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Indiana |\n| David West | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Shayne Whittington | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| CJ Miles | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Al Jefferson | 35 | 28 | 8 | 2 | 12-22 | 55% | 0-0 | 0% | 4-4 | 100% | 1 | 0 | 1 | 2 | 6 | 4 | C | Charlotte |\n| Kemba Walker | 43 | 12 | 3 | 7 | 5-15 | 33% | 2-4 | 50% | 0-1 | 0% | 2 | 2 | 0 | 0 | 3 | 3 | G | Charlotte |\n| Lance Stephenson | 39 | 10 | 8 | 7 | 4-12 | 33% | 0-2 | 0% | 2-4 | 50% | 0 | 2 | 2 | 1 | 7 | 2 | G | Charlotte |\n| Brian Roberts | 30 | 9 | 2 | 1 | 4-7 | 57% | 1-3 | 33% | 0-0 | 0% | 1 | 0 | 1 | 1 | 1 | 0 | N/A | Charlotte |\n| Marvin Williams | 23 | 8 | 3 | 0 | 3-8 | 38% | 2-3 | 67% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 3 | F | Charlotte |\n| Jason Maxiell | 14 | 8 | 6 | 0 | 4-6 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 4 | 2 | 1 | N/A | Charlotte |\n| Cody Zeller | 21 | 7 | 2 | 0 | 3-6 | 50% | 0-0 | 0% | 1-3 | 33% | 1 | 0 | 0 | 1 | 1 | 4 | N/A | Charlotte |\n| Bismack Biyombo | 13 | 4 | 7 | 0 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 3 | 4 | 3 | N/A | Charlotte |\n| Gerald Henderson | 24 | 0 | 2 | 1 | 0-6 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 1 | F | Charlotte |\n| PJ Hairston | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Jeff Taylor | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Jannero Pargo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Noah Vonleh | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |" + } + ] + }, + { + "id": "table_recognition_train_item_68650", + "image": "table_instructV/images/TabFact_1-24278858-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| week | date | kickoff | opponent | final score | team record | game site | attendance |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | saturday , april 14 | 7:00 pm | berlin thunder | l 3 - 15 | 0 - 1 | ltu arena | 30355 |\n| 2 | friday , april 20 | 8:00 pm | amsterdam admirals | w 16 - 10 | 1 - 1 | amsterdam arena | 14611 |\n| 3 | saturday , april 28 | 7:00 pm | cologne centurions | l 6 - 14 | 1 - 2 | ltu arena | 21347 |\n| 4 | sunday , may 6 | 4:00 pm | hamburg sea devils | l 9 - 34 | 1 - 3 | aol arena | 19347 |\n| 5 | saturday , may 12 | 7:00 pm | frankfurt galaxy | w 27 - 24 | 2 - 3 | ltu arena | 27349 |\n| 6 | saturday , may 19 | 6:00 pm | cologne centurions | l 17 - 20 | 2 - 4 | rheinenergiestadion | 22154 |\n| 7 | saturday , may 26 | 7:00 pm | frankfurt galaxy | l 10 - 23 | 2 - 5 | commerzbank - arena | 32789 |\n| 8 | sunday , june 3 | 4:00 pm | amsterdam admirals | w 41 - 38 | 3 - 5 | ltu arena | 20355 |\n| 9 | friday , june 8 | 7:00 pm | berlin thunder | w 24 - 17 | 4 - 5 | olympic stadium | 12114 |" + } + ] + }, + { + "id": "table_recognition_train_item_56072", + "image": "table_instructV/images/TabFact_1-19169116-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| game | date | opponent | score | high points | high rebounds | high assists | location / attendance | record |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 73 | april 1 | cleveland | 88 - 62 | powe (17) | powe (13) | garnett (5) | td banknorth garden 18624 | 23 - 50 |\n| 74 | april 4 | milwaukee | 106 - 92 | allen (22) | perkins (9) | rondo (10) | united center 22225 | 23 - 51 |\n| 75 | april 6 | miami | 92 - 77 | garnett (20) | garnett (11) | rondo (6) | td banknorth garden 18624 | 23 - 52 |\n| 76 | april 7 | indiana | 101 - 78 | powe (22) | powe (9) | rondo (5) | charlotte bobcats arena 19403 | 23 - 53 |\n| 77 | april 10 | atlanta | 107 - 104 (ot) | garnett (21) | perkins (10) | pierce (4) | bradley center 15921 | 23 - 54 |\n| 78 | april 11 | philadelphia | 95 - 109 | pierce (28) | garnett (14) | pierce , rondo (7) | td banknorth garden 20173 | 23 - 55 |\n| 79 | april 13 | milwaukee | 102 - 86 | rondo (16) | garnett , posey (8) | rondo (10) | td banknorth garden 18624 | 23 - 56 |\n| 80 | april 15 | orlando | 99 - 89 | garnett (24) | davis (10) | cassell , rondo (5) | philips arena 20098 | 23 - 57 |\n| 81 | april 16 | miami | 99 - 93 | rondo (23) | rondo (10) | rondo (5) | madison square garden 19763 | 24 - 57 |" + } + ] + }, + { + "id": "table_recognition_train_item_70076", + "image": "table_instructV/images/TabFact_2-16778330-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | september 1 , 1996 | st louis rams | l 26 - 16 | 62659 |\n| 2 | september 8 , 1996 | san diego chargers | l 27 - 14 | 55880 |\n| 3 | september 15 , 1996 | new orleans saints | w 30 - 15 | 45412 |\n| 5 | september 29 , 1996 | denver broncos | l 14 - 10 | 51798 |\n| 6 | october 6 , 1996 | houston oilers | l 30 - 27 | 44680 |\n| 7 | october 13 , 1996 | pittsburgh steelers | l 20 - 10 | 58875 |\n| 8 | october 20 , 1996 | san francisco 49ers | l 28 - 21 | 63218 |\n| 9 | october 27 , 1996 | jacksonville jaguars | w 28 - 21 | 45890 |\n| 10 | november 3 , 1996 | baltimore ravens | w 24 - 21 | 60743 |\n| 11 | november 10 , 1996 | pittsburgh steelers | w 34 - 24 | 57265 |\n| 12 | november 17 , 1996 | buffalo bills | l 31 - 17 | 75549 |\n| 13 | november 24 , 1996 | atlanta falcons | w 41 - 31 | 44868 |\n| 14 | december 1 , 1996 | jacksonville jaguars | l 30 - 27 | 57408 |\n| 15 | december 8 , 1996 | baltimore ravens | w 21 - 14 | 43022 |\n| 16 | december 15 , 1996 | houston oilers | w 21 - 13 | 15131 |\n| 17 | december 22 , 1996 | indianapolis colts | w 31 - 24 | 49389 |" + } + ] + }, + { + "id": "table_recognition_train_item_31780", + "image": "table_instructV/images/TABMWP_11068.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $65 | 22,300 | 9,100 |\n| $125 | 22,200 | 12,100 |\n| $185 | 22,100 | 15,100 |\n| $245 | 22,000 | 18,100 |\n| $305 | 21,900 | 21,100 |" + } + ] + }, + { + "id": "table_recognition_train_item_111837", + "image": "table_instructV/images/Rotowire_train_table_261.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Heat | Miami | 90 | 19 | 21 | 24 | 26 | 15 | 32 | 13 | 42 | 82 | 24 | 28 | 35 | | | | |\n| Celtics | Boston | 100 | 24 | 19 | 30 | 27 | 17 | 43 | 9 | 45 | 94 | 24 | 26 | 36 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Dwyane Wade | 35 | 34 | 4 | 2 | 13-23 | 56% | 2-4 | 50% | 6-7 | 86% | 0 | 4 | 0 | 0 | 4 | 2 | G | Miami |\n| Michael Beasley | 32 | 14 | 2 | 1 | 6-16 | 38% | 0-4 | 0% | 2-2 | 100% | 1 | 2 | 0 | 1 | 1 | 0 | N/A | Miami |\n| Mario Chalmers | 34 | 12 | 3 | 4 | 2-3 | 67% | 1-2 | 50% | 7-9 | 78% | 2 | 2 | 0 | 0 | 3 | 5 | G | Miami |\n| Luol Deng | 33 | 11 | 4 | 4 | 3-10 | 30% | 1-3 | 33% | 4-4 | 100% | 1 | 1 | 0 | 2 | 2 | 0 | F | Miami |\n| Hassan Whiteside | 22 | 7 | 9 | 0 | 2-6 | 33% | 0-0 | 0% | 3-6 | 50% | 0 | 1 | 0 | 1 | 8 | 4 | C | Miami |\n| Chris Andersen | 19 | 6 | 5 | 1 | 2-2 | 100% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 1 | 1 | 4 | 1 | N/A | Miami |\n| Shabazz Napier | 7 | 2 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Miami |\n| Henry Walker | 25 | 2 | 4 | 0 | 0-2 | 0% | 0-2 | 0% | 2-2 | 100% | 0 | 2 | 0 | 0 | 4 | 2 | F | Miami |\n| Tyler Johnson | 33 | 2 | 1 | 2 | 1-7 | 14% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 1 | 0 | 1 | 1 | N/A | Miami |\n| Udonis Haslem | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Goran Dragic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| James Ennis III | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Isaiah Thomas | 31 | 25 | 1 | 4 | 7-17 | 41% | 3-10 | 30% | 8-8 | 100% | 0 | 3 | 0 | 0 | 1 | 2 | N/A | Boston |\n| Brandon Bass | 33 | 14 | 9 | 4 | 7-14 | 50% | 0-1 | 0% | 0-0 | 0% | 3 | 1 | 0 | 6 | 3 | 1 | F | Boston |\n| Gigi Datome | 21 | 13 | 3 | 0 | 6-9 | 67% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 4 | N/A | Boston |\n| Kelly Olynyk | 21 | 10 | 2 | 2 | 4-9 | 44% | 1-4 | 25% | 1-2 | 50% | 1 | 0 | 0 | 0 | 2 | 1 | N/A | Boston |\n| Marcus Smart | 27 | 9 | 5 | 1 | 3-7 | 43% | 1-3 | 33% | 2-2 | 100% | 0 | 2 | 0 | 2 | 3 | 6 | G | Boston |\n| Jonas Jerebko | 23 | 9 | 6 | 1 | 4-9 | 44% | 0-2 | 0% | 1-1 | 100% | 0 | 1 | 0 | 2 | 4 | 3 | N/A | Boston |\n| Evan Turner | 27 | 8 | 6 | 2 | 4-12 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 5 | 2 | G | Boston |\n| Tyler Zeller | 15 | 6 | 3 | 0 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 2 | 1 | 2 | C | Boston |\n| Jae Crowder | 28 | 4 | 5 | 1 | 0-3 | 0% | 0-2 | 0% | 4-4 | 100% | 2 | 1 | 0 | 1 | 4 | 3 | F | Boston |\n| Gerald Wallace | 13 | 2 | 3 | 2 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 1 | 2 | 1 | N/A | Boston |\n| Phil Pressey | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Boston |\n| Shavlik Randolph | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| James Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |" + } + ] + }, + { + "id": "table_recognition_train_item_58482", + "image": "table_instructV/images/TabFact_2-171229-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| official name | status | area km 2 | population | census ranking |\n| --- | --- | --- | --- | --- |\n| bouctouche | town | 18.34 | 2423 | 1171 of 5008 |\n| saint - antoine | village | 6.43 | 1770 | 1452 of 5008 |\n| richibucto | town | 11.83 | 1286 | 1769 of 5008 |\n| saint - louis - de - kent | village | 2.00 | 930 | 2174 of 5008 |\n| rexton | village | 6.14 | 818 | 2341 of 5008 |" + } + ] + }, + { + "id": "table_recognition_train_item_60296", + "image": "table_instructV/images/TabFact_2-18947170-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| peak | country | elevation (m) | prominence (m) | col (m) |\n| --- | --- | --- | --- | --- |\n| jbel toubkal | morocco | 4167 | 3755 | 412 |\n| m'goun | morocco | 4071 | 1904 | 2167 |\n| koudiet tirbirhine | morocco | 2456 | 1901 | 555 |\n| lalla khedidja | algeria | 2308 | 1720 | 588 |\n| adrar bou nasser | morocco | 3340 | 1642 | 1698 |\n| djebel chãlia | algeria | 2328 | 1612 | 716 |\n| jbel igdet | morocco | 3615 | 1609 | 2006 |" + } + ] + }, + { + "id": "table_recognition_train_item_53138", + "image": "table_instructV/images/TabFact_1-1341865-11.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| district | incumbent | party | first elected | result | candidates |\n| --- | --- | --- | --- | --- | --- |\n| florida 1 | robert l f sikes | democratic | 1940 | re - elected | robert l f sikes (d) unopposed |\n| florida 3 | claude pepper | democratic | 1962 | re - elected | claude pepper (d) 65.7% paul j o'neill (r) 34.3% |\n| florida 4 | dante fascell | democratic | 1954 | re - elected | dante fascell (d) 63.9% jay mcglon (r) 36.1% |\n| florida 5 | albert s herlong , jr | democratic | 1948 | re - elected | albert s herlong , jr (d) unopposed |\n| florida 6 | paul rogers | democratic | 1954 | re - elected | paul rogers (d) 66.0% john d steele (r) 34.0% |\n| florida 7 | james a haley | democratic | 1952 | re - elected | james a haley (d) unopposed |\n| florida 8 | donald ray matthews | democratic | 1952 | re - elected | donald ray matthews (d) unopposed |\n| florida 9 | don fuqua | democratic | 1962 | re - elected | don fuqua (d) unopposed |" + } + ] + }, + { + "id": "table_recognition_train_item_114895", + "image": "table_instructV/images/Rotowire_train_table_1790.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 76ers | Philadelphia | 89 | 19 | 28 | 17 | 25 | 18 | 48 | 19 | 40 | 82 | 41 | 4 | 12 | | | | |\n| Bulls | Chicago | 105 | 23 | 34 | 33 | 15 | 24 | 51 | 12 | 44 | 73 | 29 | 10 | 6 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Ersan Ilyasova | 26 | 14 | 7 | 2 | 5-8 | 63% | 1-2 | 50% | 3-4 | 75% | 0 | 1 | 0 | 1 | 6 | 1 | F | Philadelphia |\n| Richaun Holmes | 21 | 13 | 5 | 0 | 4-8 | 50% | 1-2 | 50% | 4-4 | 100% | 1 | 2 | 3 | 3 | 2 | 1 | N/A | Philadelphia |\n| Nik Stauskas | 24 | 13 | 5 | 3 | 5-9 | 56% | 2-4 | 50% | 1-2 | 50% | 0 | 3 | 3 | 0 | 5 | 1 | N/A | Philadelphia |\n| Hollis Thompson | 21 | 11 | 5 | 2 | 4-5 | 80% | 3-3 | 100% | 0-0 | 0% | 2 | 0 | 0 | 0 | 5 | 3 | N/A | Philadelphia |\n| Jerryd Bayless | 26 | 11 | 4 | 2 | 4-10 | 40% | 1-1 | 100% | 2-2 | 100% | 0 | 2 | 0 | 1 | 3 | 1 | G | Philadelphia |\n| Jahlil Okafor | 27 | 10 | 6 | 1 | 5-11 | 46% | 0-0 | 0% | 0-2 | 0% | 1 | 1 | 1 | 1 | 5 | 3 | C | Philadelphia |\n| Timothe Luwawu-Cabarrot | 10 | 6 | 3 | 1 | 1-4 | 25% | 0-2 | 0% | 4-4 | 100% | 0 | 0 | 0 | 0 | 3 | 1 | N/A | Philadelphia |\n| Gerald Henderson | 19 | 5 | 1 | 0 | 2-7 | 29% | 1-3 | 33% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 3 | G | Philadelphia |\n| Dario Saric | 22 | 4 | 7 | 3 | 1-6 | 17% | 0-0 | 0% | 2-2 | 100% | 0 | 3 | 0 | 0 | 7 | 2 | N/A | Philadelphia |\n| Robert Covington | 20 | 2 | 1 | 0 | 0-4 | 0% | 0-3 | 0% | 2-2 | 100% | 2 | 2 | 1 | 1 | 0 | 3 | F | Philadelphia |\n| TJ McConnell | 12 | 0 | 1 | 1 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 0 | N/A | Philadelphia |\n| Sergio Rodriguez | 14 | 0 | 3 | 3 | 0-4 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 3 | 0 | 1 | 2 | 2 | N/A | Philadelphia |\n| Joel Embiid | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Jimmy Butler | 31 | 26 | 4 | 3 | 10-15 | 67% | 1-2 | 50% | 5-6 | 83% | 1 | 0 | 0 | 1 | 3 | 1 | F | Chicago |\n| Dwyane Wade | 29 | 26 | 5 | 2 | 11-18 | 61% | 1-3 | 33% | 3-5 | 60% | 3 | 1 | 1 | 1 | 4 | 2 | G | Chicago |\n| Taj Gibson | 22 | 12 | 6 | 1 | 4-5 | 80% | 0-0 | 0% | 4-5 | 80% | 0 | 3 | 2 | 0 | 6 | 2 | F | Chicago |\n| Robin Lopez | 23 | 10 | 5 | 1 | 4-11 | 36% | 0-0 | 0% | 2-2 | 100% | 0 | 2 | 1 | 3 | 2 | 1 | C | Chicago |\n| Isaiah Canaan | 26 | 8 | 5 | 1 | 2-9 | 22% | 2-7 | 29% | 2-2 | 100% | 1 | 2 | 0 | 0 | 5 | 1 | N/A | Chicago |\n| Nikola Mirotic | 25 | 6 | 3 | 2 | 2-5 | 40% | 1-3 | 33% | 1-3 | 33% | 2 | 2 | 0 | 1 | 2 | 0 | N/A | Chicago |\n| Rajon Rondo | 26 | 6 | 8 | 10 | 2-5 | 40% | 0-0 | 0% | 2-3 | 67% | 2 | 1 | 0 | 0 | 8 | 2 | G | Chicago |\n| Bobby Portis | 19 | 6 | 5 | 3 | 3-6 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 2 | 3 | 3 | N/A | Chicago |\n| Denzel Valentine | 22 | 5 | 3 | 0 | 2-9 | 22% | 1-5 | 20% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 2 | N/A | Chicago |\n| Jerian Grant | 7 | 0 | 1 | 0 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 2 | N/A | Chicago |\n| RJ Hunter | 4 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Chicago |\n| Cristiano Felicio | 7 | 0 | 5 | 1 | 0-5 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 3 | 2 | 1 | N/A | Chicago |\n| Paul Zipser | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |" + } + ] + }, + { + "id": "table_recognition_train_item_33149", + "image": "table_instructV/images/TABMWP_26359.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Number of shelves | Number of shoeboxes |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_114225", + "image": "table_instructV/images/Rotowire_train_table_1455.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hawks | Atlanta | 111 | 19 | 33 | 29 | 30 | 27 | 42 | 21 | 47 | 100 | 44 | 31 | 25 | | | | |\n| Heat | Miami | 115 | 22 | 30 | 27 | 36 | 27 | 46 | 14 | 50 | 68 | 40 | 30 | 24 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hawks | | | | | | | | | | | | | | | | | | |\n| Jeff Teague | 29 | 23 | 2 | 7 | 9-14 | 64% | 3-7 | 43% | 2-2 | 100% | 1 | 2 | 0 | 0 | 2 | 6 | G | Atlanta |\n| Kyle Korver | 35 | 18 | 1 | 2 | 7-14 | 50% | 4-7 | 57% | 0-0 | 0% | 1 | 2 | 1 | 0 | 1 | 4 | G | Atlanta |\n| Dennis Schroder | 21 | 16 | 3 | 6 | 6-10 | 60% | 2-3 | 67% | 2-2 | 100% | 1 | 5 | 1 | 1 | 2 | 1 | N/A | Atlanta |\n| Al Horford | 38 | 14 | 5 | 3 | 4-11 | 36% | 1-3 | 33% | 5-5 | 100% | 1 | 1 | 2 | 1 | 4 | 2 | C | Atlanta |\n| Mike Scott | 25 | 13 | 6 | 2 | 5-9 | 56% | 3-5 | 60% | 0-0 | 0% | 0 | 2 | 0 | 2 | 4 | 3 | N/A | Atlanta |\n| Paul Millsap | 28 | 12 | 13 | 4 | 4-13 | 31% | 2-5 | 40% | 2-2 | 100% | 0 | 3 | 0 | 3 | 10 | 4 | F | Atlanta |\n| Kent Bazemore | 23 | 7 | 4 | 1 | 3-9 | 33% | 1-3 | 33% | 0-0 | 0% | 2 | 4 | 0 | 0 | 4 | 1 | F | Atlanta |\n| Mike Muscala | 7 | 4 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 2-2 | 100% | 0 | 2 | 0 | 1 | 0 | 2 | N/A | Atlanta |\n| Thabo Sefolosha | 22 | 4 | 5 | 2 | 2-5 | 40% | 0-2 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 5 | 0 | N/A | Atlanta |\n| Tim Hardaway Jr. | 12 | 0 | 2 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Atlanta |\n| Lamar Patterson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Edy Tavares | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Luol Deng | 38 | 30 | 11 | 0 | 11-17 | 65% | 1-3 | 33% | 7-10 | 70% | 4 | 1 | 0 | 2 | 9 | 1 | F | Miami |\n| Josh McRoberts | 30 | 19 | 6 | 10 | 8-13 | 62% | 3-5 | 60% | 0-0 | 0% | 0 | 1 | 0 | 2 | 4 | 1 | N/A | Miami |\n| Goran Dragic | 33 | 17 | 5 | 10 | 6-14 | 43% | 1-4 | 25% | 4-5 | 80% | 4 | 4 | 0 | 0 | 5 | 2 | G | Miami |\n| Gerald Green | 37 | 14 | 5 | 2 | 6-13 | 46% | 1-3 | 33% | 1-3 | 33% | 2 | 3 | 1 | 1 | 4 | 2 | G | Miami |\n| Justise Winslow | 37 | 13 | 9 | 0 | 5-13 | 39% | 0-3 | 0% | 3-4 | 75% | 2 | 2 | 0 | 3 | 6 | 2 | F | Miami |\n| Josh Richardson | 20 | 7 | 1 | 0 | 3-4 | 75% | 1-1 | 100% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 2 | N/A | Miami |\n| Amar'e Stoudemire | 19 | 6 | 6 | 1 | 2-6 | 33% | 0-0 | 0% | 2-4 | 50% | 0 | 1 | 0 | 2 | 4 | 0 | C | Miami |\n| Udonis Haslem | 12 | 6 | 3 | 1 | 2-2 | 100% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 3 | 1 | N/A | Miami |\n| Beno Udrih | 15 | 3 | 0 | 3 | 1-6 | 17% | 1-1 | 100% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 1 | N/A | Miami |\n| Dwyane Wade | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Hassan Whiteside | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |" + } + ] + }, + { + "id": "table_recognition_train_item_64926", + "image": "table_instructV/images/TabFact_2-15707829-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| rank | province | population | area | density |\n| --- | --- | --- | --- | --- |\n| 1 | santo domingo | 2374370 | 1302.2 | 1823.35 |\n| 2 | distrito nacional | 965040 | 91.6 | 10535.37 |\n| 3 | santiago | 963422 | 2806.3 | 343.31 |\n| 4 | san cristóbal | 569930 | 1240.6 | 459.40 |\n| 5 | la vega | 394205 | 2292.5 | 171.95 |\n| 6 | puerto plata | 321597 | 1805.6 | 178.11 |\n| 7 | san pedro de macorís | 290458 | 1254.3 | 231.57 |\n| 8 | duarte | 289574 | 1649.5 | 175.55 |\n| 9 | la altagracia | 273210 | 2998.4 | 91.12 |\n| 10 | la romana | 245433 | 652.1 | 376.37 |\n| 11 | san juan | 232333 | 3363.8 | 69.07 |\n| 12 | espaillat | 231938 | 843.0 | 275.13 |\n| 13 | azua | 214311 | 2682.5 | 79.89 |\n| 14 | barahona | 187105 | 1660.2 | 112.70 |\n| 15 | monte plata | 185956 | 2601.6 | 71.48 |\n| 16 | peravia | 184344 | 785.2 | 234.77 |\n| 17 | monseñor nouel | 165224 | 992.0 | 166.56 |\n| 18 | valverde | 163030 | 823.0 | 198.09 |\n| 19 | sánchez ramírez | 151392 | 1185.8 | 127.67 |\n| 20 | maría trinidad sánchez | 140925 | 1206.5 | 116.80 |\n| 21 | monte cristi | 109607 | 1885.8 | 58.12 |\n| 22 | samaná | 101494 | 862.8 | 117.63 |\n| 23 | baoruco | 97313 | 1284.9 | 75.74 |\n| 24 | hermanas mirabal | 92193 | 427.4 | 215.71 |\n| 25 | el seibo | 87680 | 1788.4 | 49.03 |\n| 26 | hato mayor | 85017 | 1319.3 | 64.44 |\n| 27 | dajabón | 63955 | 1021.3 | 62.62 |\n| 28 | elías piña | 63029 | 1395.5 | 45.17 |\n| 29 | san josé de ocoa | 59544 | 853.4 | 69.77 |\n| 30 | santiago rodríguez | 57476 | 1147.5 | 50.09 |\n| 31 | independencia | 52589 | 2007.4 | 26.20 |\n| 32 | pedernales | 31587 | 2080.5 | 15.18 |" + } + ] + }, + { + "id": "table_recognition_train_item_66668", + "image": "table_instructV/images/TabFact_2-13877-11.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| throne name | title | born - died | entered office | left office | family relations |\n| --- | --- | --- | --- | --- | --- |\n| diylamids of fars (933 - 1062) | diylamids of fars (933 - 1062) | diylamids of fars (933 - 1062) | diylamids of fars (933 - 1062) | diylamids of fars (933 - 1062) | diylamids of fars (933 - 1062) |\n| 299 | abolhasan , emir | 892 - 949 | 933 | 949 | son of buyeh |\n| 305 | abushoja' , emir | 937 - 982 | 949 | 982 | son of rokn od - dowleh |\n| 309 | abolfavares , emir | 962 - 989 | 982 | 989 | son of azad od - dowleh |\n| 313 | abuali , emir | 988 - 989 | 989 | 989 | son of sharaf od - dowleh |\n| 310 | abukalijar , emir | 964 - 998 | 989 | 998 | son of azad od - dowleh |\n| 316 | emir | 999 - 1000 | 998 | 999 | son of izz od - dowleh |\n| 312 | abunasr , emir | 970 - 1012 | 999 | 1012 | son of azad od - dowleh |\n| 317 | abushoja' , emir | 992 - 1024 | 1012 | 1024 | son of baha' od - dowleh |\n| 320 | abolfavares , emir | 999 - 1028 | 1024 | 1026 | son of baha' od - dowleh |\n| 322 | abukalijar , emir | 1011 - 1048 | 1026 | 1048 | son of soltan od - dowleh |\n| 325 | abumansur , emir | n /a | 1048 | 1048 | son of emad od - din |\n| 326 | abunasr , emir | 1057 - 1058 | 1048 | 1050 | son of emad od - din |\n| 325 | abumansur , emir | n /a | 1050 | 1051 | son of emad od - din |\n| 327 | abusa'id , emir | n /a | 1051 | 1053 | son of emad od - din |\n| 325 | abumansur , emir | n /a | 1053 | 1062 | son of emad od - din |\n| diylamids of rey , isfahan , and hamedan (935 - 1038) | diylamids of rey , isfahan , and hamedan (935 - 1038) | diylamids of rey , isfahan , and hamedan (935 - 1038) | diylamids of rey , isfahan , and hamedan (935 - 1038) | diylamids of rey , isfahan , and hamedan (935 - 1038) | diylamids of rey , isfahan , and hamedan (935 - 1038) |\n| 301 | abuali , emir | 898 - 976 | 935 | 976 | son of buyeh |\n| 307 | abumansur , emir | 941 - 983 | 976 | 983 | son of rokn od - dowleh |\n| 308 | abolhasan , emir | 952 - 997 | 976 | 997 | son of rokn od - dowleh |\n| 314 | abutaleb , emir | 993 - 1029 | 997 | 1029 | son of fakhr od - dowleh |\n| 315 | abutaher , emir | 1020 - 1021 | 997 | 1021 | son of fakhr od - dowleh |\n| 319 | abolhasan , emir | 1021 - 1023 | 1021 | 1023 | son of shams od - dowleh |\n| 324 | abukalijar , emir | n /a | c 1036 | c 1038 | son of majd od - dowleh |\n| diylamids of iraq and khuzistan (945 - 1055) | diylamids of iraq and khuzistan (945 - 1055) | diylamids of iraq and khuzistan (945 - 1055) | diylamids of iraq and khuzistan (945 - 1055) | diylamids of iraq and khuzistan (945 - 1055) | diylamids of iraq and khuzistan (945 - 1055) |\n| 303 | abolhosein , emir | 915 - 966 | 945 | 966 | son of buyeh |\n| 306 | abumansur , emir | 943 - 977 | 966 | 977 | son of mo'ez od - dowleh |\n| 305 | abushoja' , emir | 937 - 982 | 977 | 982 | son of rokn od - dowleh |\n| 310 | abukalijar , emir | 964 - 998 | 982 | 986 | son of azad od - dowleh |\n| 311 | abolfavares , emir | 962 - 989 | 986 | 989 | son of azad od - dowleh |\n| 312 | abunasr , emir | 970 - 1012 | 989 | 1012 | son of azad od - dowleh |\n| 317 | abushoja' , emir | 992 - 1024 | 1012 | 1021 | son of baha od - dowleh |\n| 318 | abuali , emir | 1002 - 1025 | 1021 | 1025 | son of baha' od - dowleh |\n| 321 | abutaher , emir | 994 - 1043 | 1025 | 1025 | son of baha' od - dowleh |\n| 322 | abukalijar , emir | 1011 - 1048 | 1025 | 1027 | son of soltan od - dowleh |\n| 321 | abutaher , emir | 994 - 1043 | 1027 | 1043 | son of baha' od - dowleh |\n| 322 | abukalijar , emir | 1011 - 1048 | 1043 | 1048 | son of soltan od - dowleh |\n| 326 | abunasr , emir | 1057 - 1058 | 1048 | 1055 | son of emad od - din |" + } + ] + }, + { + "id": "table_recognition_train_item_104125", + "image": "table_instructV/images/ToTTo_train_table_17266.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 2000 | Seven Days | Rita | Episode: \"The Backstepper's Apprentice\" |\n| 2001 | Halloweentown II: Kalabar's Revenge | Vampire girl | Television film |\n| 2001–2005 | Edgemont | Bekka Lawrence | Recurring role (seasons 2–3); main role (seasons 4–5); 40 episodes |\n| 2001 | The Sausage Factory | Haley | Episode: \"Dances with Squirrels\" |\n| 2002–2003 | 2030 CE | Jakki Kaan | Main role; 26 episodes |\n| 2002 | Damaged Care | Tasha Peeno | Television film |\n| 2003 | Romeo! | Jessica | Episode: \"Slam Dunk\" |\n| 2004 | The L Word | Roxanne | Episode: \"Losing It\" |\n| 2004–2005 | Life as We Know It | Sue Miller | Main role; 13 episodes |\n| 2007 | CSI: Crime Scene Investigation | Ronnie Lake | 4 episodes |\n| 2008 | 90210 | Kimberly McIntyre | 4 episodes |\n| 2009–2010 | Melrose Place | Riley Richmond | Main role; 18 episodes |\n| 2011 | Friends with Benefits | Riley Elliott | Main role; 13 episodes |\n| 2011 | Psych | Lilly Jenkins | Episode: \"Last Night Gus\" |\n| 2013 | Cult | Skye Yarrow | Main role; 13 episodes |\n| 2014 | Gracepoint | Renee Clemons | Main role; 9 episodes |\n| 2015–2019 | Gotham | Tabitha Galavan | Main role (seasons 2–5) |\n| 2019 | The Murders | Kate Jameson | Main role |" + } + ] + }, + { + "id": "table_recognition_train_item_116921", + "image": "table_instructV/images/Rotowire_train_table_2803.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Raptors | Toronto | 121 | 38 | 15 | 33 | 35 | 16 | 46 | 14 | 45 | 90 | 40 | 7 | 4 | | | | |\n| Warriors | Golden State | 127 | 34 | 32 | 29 | 32 | 33 | 35 | 12 | 51 | 93 | 36 | 9 | 2 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| DeMar DeRozan | 38 | 34 | 6 | 4 | 8-18 | 44% | 1-4 | 25% | 17-17 | 100% | 1 | 5 | 0 | 1 | 5 | 3 | G | Toronto |\n| Kyle Lowry | 38 | 24 | 5 | 5 | 6-17 | 35% | 3-6 | 50% | 9-12 | 75% | 3 | 4 | 0 | 2 | 3 | 3 | G | Toronto |\n| Cory Joseph | 22 | 14 | 2 | 2 | 4-7 | 57% | 0-2 | 0% | 6-7 | 86% | 1 | 0 | 0 | 1 | 1 | 4 | N/A | Toronto |\n| Jonas Valanciunas | 18 | 12 | 8 | 0 | 6-6 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 3 | 5 | 1 | C | Toronto |\n| Terrence Ross | 22 | 11 | 3 | 0 | 2-8 | 25% | 2-4 | 50% | 5-5 | 100% | 1 | 0 | 1 | 1 | 2 | 2 | N/A | Toronto |\n| Pascal Siakam | 30 | 10 | 9 | 0 | 5-10 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 4 | 5 | 4 | F | Toronto |\n| DeMarre Carroll | 24 | 8 | 3 | 2 | 3-7 | 43% | 2-5 | 40% | 0-0 | 0% | 1 | 1 | 0 | 0 | 3 | 1 | F | Toronto |\n| Patrick Patterson | 25 | 5 | 4 | 1 | 2-7 | 29% | 1-3 | 33% | 0-0 | 0% | 0 | 1 | 0 | 1 | 3 | 0 | N/A | Toronto |\n| Norman Powell | 11 | 3 | 1 | 0 | 1-2 | 50% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 4 | N/A | Toronto |\n| Lucas Nogueira | 13 | 0 | 5 | 2 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 5 | 0 | N/A | Toronto |\n| Jakob Poeltl | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Fred VanVleet | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Bruno Caboclo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 37 | 35 | 3 | 7 | 10-19 | 53% | 3-9 | 33% | 12-13 | 92% | 1 | 3 | 0 | 2 | 1 | 3 | G | Golden State |\n| Kevin Durant | 36 | 30 | 9 | 6 | 11-21 | 52% | 3-8 | 38% | 5-6 | 83% | 1 | 4 | 0 | 2 | 7 | 3 | F | Golden State |\n| Klay Thompson | 32 | 15 | 4 | 1 | 4-15 | 27% | 3-11 | 27% | 4-4 | 100% | 0 | 0 | 1 | 1 | 3 | 1 | G | Golden State |\n| Draymond Green | 35 | 11 | 7 | 5 | 5-13 | 39% | 1-4 | 25% | 0-0 | 0% | 2 | 3 | 3 | 0 | 7 | 4 | F | Golden State |\n| Andre Iguodala | 25 | 10 | 3 | 5 | 4-4 | 100% | 2-2 | 100% | 0-0 | 0% | 2 | 1 | 1 | 0 | 3 | 1 | N/A | Golden State |\n| Zaza Pachulia | 16 | 8 | 1 | 2 | 2-3 | 67% | 0-0 | 0% | 4-4 | 100% | 0 | 1 | 0 | 0 | 1 | 4 | C | Golden State |\n| David West | 16 | 6 | 2 | 1 | 3-4 | 75% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 0 | 2 | 1 | N/A | Golden State |\n| Patrick McCaw | 21 | 5 | 2 | 2 | 2-3 | 67% | 1-2 | 50% | 0-0 | 0% | 1 | 0 | 1 | 0 | 2 | 3 | N/A | Golden State |\n| JaVale McGee | 4 | 4 | 1 | 0 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 4 | N/A | Golden State |\n| Shaun Livingston | 18 | 3 | 3 | 4 | 1-1 | 100% | 0-0 | 0% | 1-1 | 100% | 1 | 0 | 0 | 1 | 2 | 1 | N/A | Golden State |\n| Kevon Looney | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Ian Clark | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Anderson Varejao | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |" + } + ] + }, + { + "id": "table_recognition_train_item_117291", + "image": "table_instructV/images/Rotowire_train_table_2988.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pistons | Detroit | 116 | 30 | 29 | 23 | 34 | 33 | 56 | 14 | 51 | 78 | 57 | 31 | 49 | | | | |\n| Hornets | Charlotte | 77 | 10 | 24 | 20 | 23 | 16 | 33 | 9 | 34 | 66 | 27 | 33 | 47 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pistons | | | | | | | | | | | | | | | | | | |\n| Jodie Meeks | 27 | 24 | 1 | 0 | 8-12 | 67% | 4-7 | 57% | 4-5 | 80% | 3 | 2 | 0 | 0 | 1 | 1 | N/A | Detroit |\n| Greg Monroe | 33 | 17 | 9 | 4 | 4-10 | 40% | 0-0 | 0% | 9-10 | 90% | 2 | 0 | 1 | 1 | 8 | 1 | F | Detroit |\n| Anthony Tolliver | 19 | 17 | 4 | 0 | 6-7 | 86% | 5-6 | 83% | 0-0 | 0% | 0 | 2 | 0 | 1 | 3 | 5 | N/A | Detroit |\n| Andre Drummond | 32 | 15 | 19 | 4 | 7-12 | 58% | 0-0 | 0% | 1-3 | 33% | 0 | 1 | 2 | 5 | 14 | 4 | C | Detroit |\n| Shawne Williams | 8 | 10 | 1 | 0 | 4-6 | 67% | 2-3 | 67% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 2 | N/A | Detroit |\n| Kentavious Caldwell-Pope | 28 | 10 | 6 | 1 | 4-9 | 44% | 2-4 | 50% | 0-0 | 0% | 1 | 3 | 0 | 0 | 6 | 1 | G | Detroit |\n| John Lucas III | 18 | 9 | 5 | 6 | 4-8 | 50% | 1-1 | 100% | 0-0 | 0% | 0 | 2 | 0 | 1 | 4 | 1 | N/A | Detroit |\n| Quincy Miller | 27 | 6 | 4 | 3 | 2-7 | 29% | 2-5 | 40% | 0-0 | 0% | 0 | 1 | 1 | 1 | 3 | 4 | N/A | Detroit |\n| Reggie Jackson | 30 | 5 | 4 | 13 | 1-7 | 14% | 0-1 | 0% | 3-3 | 100% | 0 | 2 | 0 | 2 | 2 | 3 | G | Detroit |\n| Cartier Martin | 3 | 2 | 0 | 2 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Detroit |\n| Joel Anthony | 3 | 1 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Detroit |\n| Caron Butler | 10 | 0 | 2 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 1 | F | Detroit |\n| Tayshaun Prince | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Noah Vonleh | 29 | 16 | 12 | 0 | 6-11 | 55% | 1-2 | 50% | 3-6 | 50% | 1 | 2 | 0 | 4 | 8 | 2 | N/A | Charlotte |\n| Gerald Henderson | 26 | 14 | 2 | 2 | 6-16 | 38% | 0-0 | 0% | 2-3 | 67% | 3 | 1 | 0 | 0 | 2 | 2 | G | Charlotte |\n| Brian Roberts | 20 | 11 | 2 | 3 | 3-8 | 38% | 2-2 | 100% | 3-5 | 60% | 1 | 0 | 0 | 0 | 2 | 0 | N/A | Charlotte |\n| Jeff Taylor | 25 | 10 | 2 | 0 | 3-7 | 43% | 0-0 | 0% | 4-5 | 80% | 0 | 2 | 0 | 0 | 2 | 0 | F | Charlotte |\n| Kemba Walker | 31 | 7 | 1 | 7 | 2-11 | 18% | 1-3 | 33% | 2-4 | 50% | 2 | 1 | 0 | 0 | 1 | 0 | G | Charlotte |\n| Bismack Biyombo | 29 | 5 | 4 | 0 | 2-4 | 50% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 1 | 0 | 4 | 4 | C | Charlotte |\n| Marvin Williams | 19 | 4 | 3 | 1 | 1-3 | 33% | 0-1 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 3 | 2 | F | Charlotte |\n| Jason Maxiell | 19 | 4 | 4 | 0 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 2 | 2 | 0 | N/A | Charlotte |\n| PJ Hairston | 14 | 4 | 0 | 1 | 1-5 | 20% | 0-3 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Charlotte |\n| Troy Daniels | 28 | 2 | 3 | 2 | 1-9 | 11% | 0-4 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 3 | 2 | N/A | Charlotte |\n| Lance Stephenson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Al Jefferson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Mo Williams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |" + } + ] + }, + { + "id": "table_recognition_train_item_69388", + "image": "table_instructV/images/TabFact_2-12017602-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| name | years | gender | area | authority | decile | roll |\n| --- | --- | --- | --- | --- | --- | --- |\n| bayswater school | 1 - 6 | coed | bayswater | state | 9 | 187 |\n| belmont intermediate school | 7 - 8 | coed | belmont | state | 10 | 538 |\n| belmont school | 1 - 6 | coed | belmont | state | 10 | 367 |\n| campbells bay school | 1 - 6 | coed | castor bay | state | 10 | 755 |\n| devonport school | 1 - 6 | coed | devonport | state | 10 | 368 |\n| forrest hill school | 1 - 6 | coed | forrest hill | state | 9 | 430 |\n| hauraki primary school | 1 - 6 | coed | hauraki | state | 10 | 422 |\n| milford school | 1 - 6 | coed | milford | state | 10 | 526 |\n| st joseph 's catholic school | 1 - 6 | coed | takapuna | state integrated | 9 | 371 |\n| st leo 's school | 1 - 6 | coed | devonport | state integrated | 10 | 102 |\n| stanley bay school | 1 - 6 | coed | stanley bay | state | 10 | 288 |\n| sunnynook primary school | 1 - 6 | coed | sunnynook | state | 7 | 446 |\n| takapuna normal intermediate | 7 - 8 | coed | takapuna | state | 9 | 609 |\n| takapuna school | 1 - 6 | coed | takapuna | state | 9 | 385 |\n| vauxhall school | 1 - 6 | coed | vauxhall | state | 10 | 301 |\n| wairau intermediate | 7 - 8 | coed | sunnynook | state | 8 | 280 |" + } + ] + }, + { + "id": "table_recognition_train_item_102103", + "image": "table_instructV/images/ToTTo_train_table_8908.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Treaty | Year concluded | Topic | UN | Non-UN | States | Other | Total | Non-parties |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Vienna Convention for the Protection of the Ozone Layer | 1985 | Environment (ozone depletion) | 193 | 3 (COK VAT NIU) | 196 | 1 (EU) | 197 | PSE |\n| Montreal Protocol | 1987 | Environment (ozone depletion) | 193 | 3 (COK VAT NIU) | 196 | 1 (EU) | 197 | PSE |\n| UN Framework Convention on Climate Change | 1992 | Environment (climate change) | 193 | 3 (COK NIU PSE) | 196 | 1 (EU) | 197 | VAT |\n| UN Convention to Combat Desertification | 1994 | Environment (desertification) | 193 | 3 (COK NIU PSE) | 196 | 1 (EU) | 197 | VAT |\n| Geneva Conventions: First, Second, Third, Fourth | 1949 | International humanitarian law | 193 | 3 (COK VAT PSE) | 196 | 0 | 196 | NIU |\n| Convention on the Rights of the Child | 1989 | Human rights | 192 | 4 (COK VAT NIU PSE) | 196 | 0 | 196 | USA |\n| Convention on Biological Diversity | 1992 | Environment (species preservation; sustainable development) | 192 | 3 (COK NIU PSE) | 195 | 1 (EU) | 196 | VAT, USA |\n| Constitution of the United Nations Educational, Scientific and Cultural Organisation | 1945 | Organizational (UNESCO); education; science; culture | 192 | 3 (COK NIU PSE) | 195 | 0 | 195 | VAT, LIE |\n| Constitution of the Food and Agriculture Organization | 1945 | Organizational (FAO); agriculture; food | 192 | 2 (COK NIU) | 194 | 1 (European Union) | 195 | VAT, LIE, PSE |\n| Constitution of the World Health Organization | 1946 | Organizational (WHO); health | 191 | 2 (COK NIU) | 193 | 0 | 193 | VAT, LIE, PSE |\n| United Nations Charter | 1945 | Organizational (UN); pacific settlement of disputes | 193 | 0 | 193 | 0 | 193 | COK, VAT, NIU, PSE |\n| Constitution and Convention of the International Telecommunication Union | 1865/1992 | Organizational (ITU); telecommunications | 192 | 1 (VAT) | 193 | 0 | 193 | COK, NIU, PLW, PSE |\n| Convention concerning the Protection of the World Cultural and Natural Heritage | 1972 | Cultural and natural heritage | 189 | 4 (COK VAT NIU PSE) | 193 | 0 | 193 | LIE, NRU, SOM, TUV |\n| Chemical Weapons Convention | 1992 | Organizational (OPCW); international humanitarian law; arms control | 189 | 4 (COK VAT NIU PSE) | 193 | 0 | 193 | EGY, ISR, PRK, SSD |\n| Kyoto Protocol | 1997 | Environment (climate change) | 189 | 2 (COK NIU) | 191 | 1 (EU) | 192 | AND, CAN, VAT, PSE, SSD, USA |\n| Chicago Convention on International Civil Aviation | 1944 | Organizational (ICAO); air transport | 191 | 1 (COK) | 192 | 0 | 192 | DMA, VAT, LIE, NIU, PSE |\n| Vienna Convention on Diplomatic Relations | 1961 | Privileges and immunities; diplomatic relations | 190 | 2 (VAT PSE) | 192 | 0 | 192 | COK, NIU, PLW, SLB, SSD |\n| WIPO Convention | 1967 | Organizational (WIPO); intellectual property | 188 | 3 (COK, VAT, NIU) | 191 | 0 | 191 | FSM, NRU, PLW, PSE, SLB, SSD |\n| Treaty on the Non-Proliferation of Nuclear Weapons | 1968 | Arms control | 188 | 2 (PSE, VAT) | 190 | 0 | 190 | COK, IND, ISR, NIU, PRK, PAK, SSD |\n| UN Convention Against Illicit Traffic in Narcotic Drugs and Psychotropic Substances | 1988 | Drug control | 185 | 4 (COK VAT NIU PSE) | 189 | 1 (EU) | 190 | GNQ, KIR, PLW, PNG, SLB, SOM, SSD, TUV |\n| Convention on the Elimination of All Forms of Discrimination against Women | 1979 | Human rights | 187 | 2 (COK PSE) | 189 | 0 | 189 | VAT, IRN, PLW, NIU, SOM, SDN, TON, USA |\n| Articles of Agreement of the International Bank for Reconstruction and Development | 1944 | Organizational (IBRD); international development | 188 | 1 (UNK) | 189 | 0 | 189 | AND, COK, CUB, VAT, LIE, MCO, NIU, PRK, PSE |\n| United Nations Convention against Transnational Organized Crime | 2000 | Organized crime; international criminal law | 184 | 4 (COK VAT NIU PSE) | 188 | 1 (EU) | 189 | BTN, COG, IRN, PLW, PNG, SLB, SOM, SSD, TUV |\n| Articles of Agreement of the International Monetary Fund | 1944 | Organizational (IMF); international development | 188 | 1 (UNK) | 189 | 0 | 189 | AND, COK, CUB, VAT, LIE, MCO, NIU, PRK, PSE |\n| Convention for the Suppression of Unlawful Acts against the Safety of Civil Aviation | 1971 | Aviation; terrorism | 186 | 2 (COK NIU) | 188 | 0 | 188 | TLS, ERI, VAT, KIR, PSE, SMR, SOM, SSD, TUV |\n| International Convention for the Suppression of the Financing of Terrorism | 1999 | Terrorism | 185 | 3 (COK VAT NIU) | 188 | 0 | 188 | BDI, TCD, ERI, IRN, LBN, PSE, SOM, SSD, TUV |\n| Constitution of the Universal Postal Union | 1964 | Organizational (UPU); postal | 186 | 1 (VAT) | 187 | 0 | 187 | AND, DOM, HND, MHL, FSM, PLW, PSE, SDN |\n| Constitution of the International Labour Organization | 1919/1945 | Organizational (ILO); labour | 186 | 1 (COK) | 187 | 0 | 187 | AND, BHU, VAT, LIE, FSM, MCO, NIU, PRK, NRU, PSE |\n| International Convention against Doping in Sport | 2005 | Doping in sport | 181 | 2 (COK PSE) | 187 | 0 | 187 | |\n| Basel Convention | 1992 | Environmental (hazardous waste disposal) | 184 | 2 (COK PSE) | 186 | 1 (EU) | 187 | TLS, FJI, GRD, HTI, VAT, NIU, SMR, SLB, SSD, TUV, USA |\n| Tokyo Convention | 1969 | Terrorism, air transport | 184 | 2 (COK NIU) | 186 | 0 | 186 | DMA, TLS, ERI, VAT, KIR, FSM, PSE, KNA, SOM, SSD, TUV |\n| Single Convention on Narcotic Drugs | 1961 | Drug control | 184 | 2 (VAT PSE) | 186 | 0 | 186 | TCD, COK, TLS, GNQ, KIR, NRU, WSM, SSD, TUV, VUT |\n| United Nations Convention against Corruption | 2003 | International criminal law | 181 | 4 (COK VAT NIU PSE) | 185 | 1 (EU) | 186 | |\n| Hague Hijacking Convention | 1970 | Terrorism, air transport | 183 | 2 (COK NIU) | 185 | 0 | 185 | BDI, TLS, ERI, VAT, KIR, FSM, PSE, SMR, SLB, SOM, SSD, TUV |\n| Articles of Agreement of the International Finance Corporation | 1955 | Organizational (IFC); international development | 183 | 1 (UNK) | 184 | 0 | 184 | AND, BRN, COK, CUB, VAT, LIE, MCO, NRU, NIU, PRK, PSE, SMR, VCT, TUV |\n| Convention on Psychotropic Substances | 1971 | Drug control | 182 | 2 (VAT PSE) | 184 | 0 | 184 | COK, TLS, GNQ, HTI, KIR, LBR, NRU, WSM, SLB, SSD, TUV, VUT |\n| Paris Agreement | 2015 | Environment (climate change) | 180 | 3 (COK NIU PSE) | 183 | 1 (EU) | 184 | |\n| CITES | 1973 | Environmental (species preservation) | 182 | 0 | 182 | 1 (EU) | 183 | |\n| International Plant Protection Convention | 1951 | Agricultural (pest protection) | 180 | 2 (COK NIU) | 182 | 1 (EU) | 183 | |\n| Worst Forms of Child Labour Convention | 1999 | Human rights; labour | 181 | 1 (COK) | 182 | 0 | 182 | |\n| Biological Weapons Convention | 1972 | International humanitarian law; arms control | 178 | 4 (COK VAT NIU PSE) | 182 | 0 | 182 | |\n| Stockholm Convention on Persistent Organic Pollutants | 2001 | Environmental (persistent organic pollutants) | 178 | 3 (COK NIU PSE) | 181 | 1 (EU) | 182 | |\n| Convention establishing the Multilateral Investment Guarantee Agency | 1985 | Organizational (MIGA); international development | 180 | 1 (UNK) | 181 | 0 | 181 | |\n| WHO Framework Convention on Tobacco Control | 2003 | Health | 178 | 2 (COK NIU) | 180 | 1 (EU) | 181 | |\n| Vienna Convention on Consular Relations | 1963 | Privileges and immunities; diplomatic relations | 178 | 2 (VAT PSE) | 180 | 0 | 180 | |\n| Convention on the Prevention and Punishment of Crimes against Internationally Protected Persons, including Diplomatic Agents | 1973 | Anti-terrorism; privileges and immunities; diplomatic relations | 177 | 3 (VAT NIU PSE) | 180 | 0 | 180 | |\n| International Convention on the Elimination of All Forms of Racial Discrimination | 1969 | Human rights | 177 | 2 (VAT PSE) | 179 | 0 | 179 | |\n| Forced Labour Convention | 1930 | Human rights; labour | 177 | 1 (COK) | 178 | 0 | 178 | |\n| Convention for the Safeguarding of the Intangible Cultural Heritage | 2003 | Cultural heritage | 177 | 1 (COK) | 178 | 0 | 178 | |\n| Convention on the Prevention and Punishment of Crimes against Internationally Protected Persons, including Diplomatic Agents | 1973 | Terrorism; privileges and immunities; diplomatic relations; international criminal law | 175 | 2 (VAT NIU) | 177 | 0 | 177 | |\n| Paris Convention for the Protection of Industrial Property | 1883 | Intellectual property | 176 | 1 (VAT) | 177 | 0 | 177 | |\n| Convention on the Rights of Persons with Disabilities | 2006 | Human rights | 174 | 2 (COK PSE) | 176 | 1 (EU) | 177 | |\n| Agreement establishing the International Fund for Agricultural Development | 1976 | Organizational (IFAD); development | 174 | 2 (COK NIU) | 176 | 0 | 176 | |\n| International Convention against the Taking of Hostages | 1979 | Terrorism | 175 | 1 (NIU) | 176 | 0 | 176 | |\n| Berne Convention for the Protection of Literary and Artistic Works | 1886 | Intellectual property (copyright) | 173 | 3 (COK VAT NIU) | 176 | 0 | 176 | |\n| Convention establishing a Customs Co-operation Council | 1950 | Organizational (WCO); customs | 175 | 0 | 175 | 0 | 175 | |\n| Protocol for the Suppression of Unlawful Acts of Violence at Airports serving International Civil Aviation | 1988 | aviation; terrorism | 173 | 2 (COK NIU) | 175 | 0 | 175 | |\n| Discrimination (Employment and Occupation) Convention | 1958 | Human rights; labour | 175 | 0 | 175 | 0 | 175 | |\n| Optional Protocol to the Convention on the Rights of the Child on the Sale of Children, Child Prostitution and Child Pornography | 2000 | Human rights | 173 | 2 (VAT PSE) | 175 | 0 | 175 | |\n| Protocol I | 1977 | International humanitarian law | 171 | 3 (COK VAT PSE) | 174 | 0 | 174 | |\n| Convention on the International Maritime Organization | 1948 | Organizational (IMO); admiralty law; law of the sea | 173 | 1 (COK) | 174 | 0 | 174 | |\n| Articles of Agreement of the International Development Association | 1960 | Organizational (IDA); international development | 172 | 1 (UNK) | 173 | 0 | 173 | |\n| Abolition of Forced Labour Convention | 1957 | Human rights; labour | 172 | 1 (COK) | 173 | 0 | 173 | |\n| Equal Remuneration Convention | 1951 | Human rights; labour | 173 | 0 | 173 | 0 | 173 | |\n| Protocol to Prevent, Suppress and Punish Trafficking in Persons, especially Women and Children | 2000 | Human rights; international criminal law (human trafficking) | 171 | 1 (PSE) | 172 | 1 (EU) | 173 | |\n| International Covenant on Civil and Political Rights | 1966 | Human rights | 171 | 1 (PSE) | 172 | 0 | 172 | |\n| Statute of the International Atomic Energy Agency | 1956 | Peaceful use of nuclear energy | 170 | 1 (VAT) | 171 | 0 | 171 | |\n| Cartagena Protocol on Biosafety | 2000 | Environment (species preservation; biological technology) | 168 | 2 (NIU PSE) | 170 | 1 (EU) | 171 | |\n| Convention on Wetlands of International Importance especially as Waterfowl Habitat | 1971 | Environment (species preservation; waterfowl; wetlands) | 170 | 0 | 170 | 0 | 170 | |\n| International Convention for the Suppression of Terrorist Bombings | 1997 | Terrorism | 169 | 1 (NIU) | 170 | 0 | 170 | |" + } + ] + }, + { + "id": "table_recognition_train_item_34556", + "image": "table_instructV/images/TABMWP_6378.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 1 | 20 |\n| 2 | 12 |\n| 3 | 7 |" + } + ] + }, + { + "id": "table_recognition_train_item_33465", + "image": "table_instructV/images/TABMWP_29624.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $880 | 16,100 | 17,200 |\n| $890 | 13,900 | 18,700 |\n| $900 | 11,700 | 20,200 |\n| $910 | 9,500 | 21,700 |\n| $920 | 7,300 | 23,200 |" + } + ] + }, + { + "id": "table_recognition_train_item_116217", + "image": "table_instructV/images/Rotowire_train_table_2451.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Lakers | Los Angeles | 93 | 18 | 34 | 25 | 16 | 17 | 41 | 9 | 36 | 81 | 16 | 9 | 35 | | | | |\n| Kings | Sacramento | 112 | 28 | 29 | 29 | 26 | 28 | 59 | 14 | 48 | 71 | 30 | 18 | 23 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Lakers | | | | | | | | | | | | | | | | | | |\n| Brandon Bass | 30 | 18 | 7 | 2 | 7-12 | 58% | 0-0 | 0% | 4-4 | 100% | 0 | 1 | 3 | 4 | 3 | 3 | N/A | Los Angeles |\n| Kobe Bryant | 31 | 15 | 4 | 3 | 4-13 | 31% | 2-7 | 29% | 5-5 | 100% | 1 | 2 | 0 | 2 | 2 | 4 | F | Los Angeles |\n| Lou Williams | 33 | 15 | 2 | 3 | 4-10 | 40% | 0-4 | 0% | 7-8 | 88% | 1 | 0 | 0 | 0 | 2 | 2 | G | Los Angeles |\n| Jordan Clarkson | 35 | 14 | 5 | 1 | 5-15 | 33% | 0-2 | 0% | 4-6 | 67% | 1 | 2 | 0 | 1 | 4 | 1 | G | Los Angeles |\n| D'Angelo Russell | 26 | 14 | 2 | 5 | 5-15 | 33% | 2-6 | 33% | 2-2 | 100% | 0 | 1 | 0 | 0 | 2 | 2 | N/A | Los Angeles |\n| Roy Hibbert | 16 | 6 | 2 | 0 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 3 | 1 | 1 | 1 | 1 | 5 | C | Los Angeles |\n| Julius Randle | 31 | 6 | 12 | 2 | 2-11 | 18% | 0-0 | 0% | 2-4 | 50% | 0 | 1 | 1 | 4 | 8 | 1 | F | Los Angeles |\n| Anthony Brown | 17 | 3 | 3 | 0 | 1-4 | 25% | 0-3 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 3 | 2 | N/A | Los Angeles |\n| Ryan Kelly | 17 | 2 | 3 | 1 | 1-5 | 20% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 2 | N/A | Los Angeles |\n| Robert Sacre | 2 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Los Angeles |\n| Marcelo Huertas | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Los Angeles |\n| Tarik Black | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Nick Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Kings | | | | | | | | | | | | | | | | | | |\n| DeMarcus Cousins | 35 | 36 | 16 | 3 | 13-22 | 59% | 0-0 | 0% | 10-12 | 83% | 1 | 2 | 1 | 6 | 10 | 5 | F | Sacramento |\n| Rudy Gay | 33 | 16 | 6 | 3 | 6-9 | 67% | 2-3 | 67% | 2-4 | 50% | 2 | 2 | 6 | 0 | 6 | 4 | F | Sacramento |\n| Willie Cauley-Stein | 29 | 12 | 10 | 1 | 5-8 | 63% | 0-0 | 0% | 2-4 | 50% | 2 | 0 | 2 | 4 | 6 | 4 | C | Sacramento |\n| Rajon Rondo | 34 | 11 | 5 | 17 | 5-10 | 50% | 0-1 | 0% | 1-1 | 100% | 0 | 3 | 0 | 2 | 3 | 0 | G | Sacramento |\n| Darren Collison | 21 | 10 | 2 | 0 | 3-5 | 60% | 1-2 | 50% | 3-4 | 75% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | Sacramento |\n| Omri Casspi | 30 | 9 | 9 | 0 | 3-11 | 27% | 1-7 | 14% | 2-3 | 67% | 0 | 3 | 1 | 0 | 9 | 1 | N/A | Sacramento |\n| Ben McLemore | 18 | 6 | 2 | 0 | 3-6 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 5 | G | Sacramento |\n| Marco Belinelli | 19 | 6 | 1 | 3 | 2-10 | 20% | 2-5 | 40% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 0 | N/A | Sacramento |\n| Kosta Koufos | 13 | 4 | 7 | 0 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 2 | 2 | 5 | 3 | N/A | Sacramento |\n| Quincy Acy | 2 | 2 | 0 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Sacramento |\n| James Anderson | 2 | 0 | 1 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | Sacramento |\n| Seth Curry | 2 | 0 | 0 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Sacramento |\n| Caron Butler | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |" + } + ] + }, + { + "id": "table_recognition_train_item_111707", + "image": "table_instructV/images/Rotowire_train_table_196.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Thunder | Oklahoma City | 121 | 40 | 27 | 25 | 29 | 16 | 39 | 17 | 52 | 77 | 40 | 35 | 29 | | | | |\n| Trail Blazers | Portland | 126 | 29 | 32 | 38 | 27 | 24 | 36 | 11 | 55 | 78 | 48 | 27 | 35 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Russell Westbrook | 36 | 58 | 3 | 9 | 21-39 | 54% | 3-9 | 33% | 13-16 | 81% | 3 | 4 | 1 | 1 | 2 | 4 | G | Oklahoma City |\n| Victor Oladipo | 25 | 16 | 5 | 0 | 5-9 | 56% | 4-5 | 80% | 2-2 | 100% | 0 | 1 | 0 | 0 | 5 | 3 | G | Oklahoma City |\n| Enes Kanter | 18 | 11 | 7 | 1 | 5-6 | 83% | 0-0 | 0% | 1-1 | 100% | 0 | 4 | 0 | 2 | 5 | 1 | N/A | Oklahoma City |\n| Andre Roberson | 35 | 9 | 6 | 0 | 4-7 | 57% | 1-4 | 25% | 0-0 | 0% | 0 | 1 | 0 | 2 | 4 | 4 | F | Oklahoma City |\n| Domantas Sabonis | 21 | 8 | 4 | 0 | 3-7 | 43% | 0-1 | 0% | 2-2 | 100% | 0 | 1 | 0 | 1 | 3 | 1 | F | Oklahoma City |\n| Alex Abrines | 13 | 5 | 1 | 1 | 2-5 | 40% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Oklahoma City |\n| Steven Adams | 29 | 4 | 3 | 0 | 1-1 | 100% | 0-0 | 0% | 2-5 | 40% | 0 | 0 | 0 | 0 | 3 | 3 | C | Oklahoma City |\n| Jerami Grant | 11 | 3 | 0 | 0 | 1-3 | 33% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Oklahoma City |\n| Taj Gibson | 23 | 3 | 8 | 1 | 1-2 | 50% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 0 | 5 | 3 | 3 | N/A | Oklahoma City |\n| Norris Cole | 6 | 2 | 0 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 0 | N/A | Oklahoma City |\n| Doug McDermott | 14 | 2 | 0 | 1 | 0-1 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Oklahoma City |\n| Semaj Christon | 10 | 0 | 2 | 2 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 1 | 1 | 2 | N/A | Oklahoma City |\n| Nick Collison | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Trail Blazers | | | | | | | | | | | | | | | | | | |\n| Allen Crabbe | 28 | 23 | 4 | 2 | 7-10 | 70% | 5-7 | 71% | 4-4 | 100% | 0 | 1 | 0 | 1 | 3 | 3 | N/A | Portland |\n| Damian Lillard | 36 | 22 | 3 | 8 | 8-17 | 47% | 2-6 | 33% | 4-5 | 80% | 1 | 1 | 0 | 1 | 2 | 0 | G | Portland |\n| CJ McCollum | 37 | 21 | 1 | 0 | 8-20 | 40% | 1-3 | 33% | 4-4 | 100% | 0 | 1 | 0 | 0 | 1 | 2 | G | Portland |\n| Jusuf Nurkic | 25 | 17 | 9 | 4 | 5-12 | 42% | 0-1 | 0% | 7-8 | 88% | 1 | 4 | 0 | 2 | 7 | 5 | C | Portland |\n| Al-Farouq Aminu | 30 | 12 | 7 | 0 | 5-6 | 83% | 1-1 | 100% | 1-2 | 50% | 1 | 2 | 3 | 1 | 6 | 2 | N/A | Portland |\n| Meyers Leonard | 20 | 12 | 1 | 1 | 5-8 | 63% | 2-4 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 4 | N/A | Portland |\n| Noah Vonleh | 22 | 11 | 5 | 2 | 5-6 | 83% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 4 | 1 | 4 | F | Portland |\n| Maurice Harkless | 29 | 6 | 4 | 2 | 3-5 | 60% | 0-1 | 0% | 0-2 | 0% | 2 | 0 | 2 | 3 | 1 | 2 | F | Portland |\n| Shabazz Napier | 13 | 2 | 2 | 5 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 0 | 2 | 1 | N/A | Portland |\n| Pat Connaughton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Jake Layman | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Ed Davis | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |" + } + ] + }, + { + "id": "table_recognition_train_item_117615", + "image": "table_instructV/images/Rotowire_train_table_3150.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Thunder | Oklahoma City | 117 | 32 | 34 | 30 | 21 | 25 | 50 | 13 | 47 | 80 | 33 | 38 | 13 | | | | |\n| Magic | Orlando | 114 | 32 | 33 | 29 | 20 | 25 | 39 | 9 | 50 | 83 | 44 | 21 | 27 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Kevin Durant | 37 | 37 | 5 | 5 | 12-25 | 48% | 6-12 | 50% | 7-8 | 88% | 2 | 4 | 3 | 0 | 5 | 1 | F | Oklahoma City |\n| Russell Westbrook | 38 | 24 | 19 | 14 | 10-18 | 56% | 0-1 | 0% | 4-4 | 100% | 2 | 2 | 0 | 7 | 12 | 1 | G | Oklahoma City |\n| Enes Kanter | 16 | 13 | 7 | 0 | 6-8 | 75% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 1 | 5 | 2 | 2 | N/A | Oklahoma City |\n| Serge Ibaka | 36 | 9 | 7 | 1 | 4-11 | 36% | 0-2 | 0% | 1-1 | 100% | 0 | 1 | 6 | 4 | 3 | 3 | F | Oklahoma City |\n| Cameron Payne | 14 | 9 | 1 | 3 | 3-5 | 60% | 0-2 | 0% | 3-4 | 75% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Oklahoma City |\n| Dion Waiters | 34 | 8 | 2 | 2 | 2-6 | 33% | 0-2 | 0% | 4-6 | 67% | 1 | 1 | 0 | 0 | 2 | 2 | G | Oklahoma City |\n| Steven Adams | 36 | 7 | 9 | 0 | 3-7 | 43% | 0-0 | 0% | 1-2 | 50% | 0 | 3 | 0 | 3 | 6 | 4 | C | Oklahoma City |\n| Anthony Morrow | 10 | 5 | 0 | 0 | 2-8 | 25% | 1-4 | 25% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Oklahoma City |\n| Kyle Singler | 14 | 5 | 0 | 0 | 2-4 | 50% | 1-3 | 33% | 0-0 | 0% | 2 | 0 | 0 | 0 | 0 | 2 | N/A | Oklahoma City |\n| Nick Collison | 5 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Oklahoma City |\n| Mitch McGary | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Steve Novak | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| D.J. Augustin | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Victor Oladipo | 41 | 37 | 7 | 4 | 13-20 | 65% | 3-6 | 50% | 8-8 | 100% | 1 | 0 | 1 | 1 | 6 | 4 | G | Orlando |\n| Nikola Vucevic | 36 | 16 | 3 | 3 | 8-16 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 2 | 1 | 2 | 3 | C | Orlando |\n| Mario Hezonja | 20 | 16 | 1 | 4 | 6-10 | 60% | 4-6 | 67% | 0-0 | 0% | 0 | 2 | 0 | 1 | 0 | 1 | N/A | Orlando |\n| Tobias Harris | 34 | 15 | 7 | 3 | 7-14 | 50% | 1-4 | 25% | 0-2 | 0% | 0 | 0 | 0 | 2 | 5 | 1 | F | Orlando |\n| Jason Smith | 18 | 13 | 3 | 0 | 6-7 | 86% | 1-1 | 100% | 0-0 | 0% | 2 | 1 | 2 | 2 | 1 | 2 | N/A | Orlando |\n| Evan Fournier | 19 | 7 | 1 | 2 | 2-4 | 50% | 1-3 | 33% | 2-2 | 100% | 0 | 3 | 0 | 0 | 1 | 1 | N/A | Orlando |\n| Elfrid Payton | 29 | 6 | 5 | 6 | 3-11 | 27% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 4 | 4 | G | Orlando |\n| Aaron Gordon | 26 | 2 | 6 | 1 | 1-10 | 10% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 3 | 3 | 0 | F | Orlando |\n| Channing Frye | 17 | 2 | 6 | 2 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 5 | 2 | N/A | Orlando |\n| Keith Appling | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Shabazz Napier | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Devyn Marble | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Andrew Nicholson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |" + } + ] + }, + { + "id": "table_recognition_train_item_34572", + "image": "table_instructV/images/TABMWP_6864.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Number of apartments | Number of light switches |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_30755", + "image": "table_instructV/images/TABMWP_170.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Number of buses | Number of empty seats |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | 40 |\n| 5 | 50 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_113229", + "image": "table_instructV/images/Rotowire_train_table_957.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kings | Sacramento | 108 | 15 | 28 | 31 | 34 | 23 | 42 | 21 | 53 | 79 | 36 | 16 | 23 | | | | |\n| Cavaliers | Cleveland | 120 | 32 | 29 | 23 | 36 | 27 | 39 | 12 | 51 | 77 | 41 | 29 | 10 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Kings | | | | | | | | | | | | | | | | | | |\n| DeMarcus Cousins | 39 | 26 | 7 | 11 | 9-16 | 56% | 1-5 | 20% | 7-9 | 78% | 1 | 6 | 0 | 0 | 7 | 3 | C | Sacramento |\n| Rudy Gay | 35 | 23 | 10 | 2 | 8-14 | 57% | 3-3 | 100% | 4-5 | 80% | 0 | 2 | 4 | 5 | 5 | 5 | F | Sacramento |\n| Ty Lawson | 26 | 17 | 4 | 4 | 7-10 | 70% | 0-1 | 0% | 3-4 | 75% | 0 | 3 | 0 | 0 | 4 | 2 | N/A | Sacramento |\n| Darren Collison | 22 | 13 | 1 | 4 | 5-10 | 50% | 2-4 | 50% | 1-1 | 100% | 0 | 1 | 0 | 0 | 1 | 2 | G | Sacramento |\n| Matt Barnes | 18 | 8 | 5 | 0 | 4-8 | 50% | 0-4 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 4 | 3 | N/A | Sacramento |\n| Anthony Tolliver | 34 | 7 | 7 | 0 | 3-10 | 30% | 1-4 | 25% | 0-0 | 0% | 2 | 1 | 0 | 3 | 4 | 3 | F | Sacramento |\n| Arron Afflalo | 17 | 5 | 0 | 0 | 2-3 | 67% | 1-1 | 100% | 0-0 | 0% | 1 | 2 | 0 | 0 | 0 | 2 | N/A | Sacramento |\n| Garrett Temple | 35 | 5 | 2 | 1 | 2-4 | 50% | 1-3 | 33% | 0-0 | 0% | 3 | 4 | 1 | 0 | 2 | 1 | G | Sacramento |\n| Omri Casspi | 6 | 2 | 1 | 1 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Sacramento |\n| Kosta Koufos | 6 | 2 | 5 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 2 | 3 | 1 | N/A | Sacramento |\n| Ben McLemore | 1 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Sacramento |\n| Willie Cauley-Stein | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Sacramento |\n| Malachi Richardson | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Sacramento |\n| Cavaliers | | | | | | | | | | | | | | | | | | |\n| Kyrie Irving | 35 | 26 | 4 | 5 | 10-22 | 46% | 2-7 | 29% | 4-4 | 100% | 1 | 3 | 0 | 1 | 3 | 5 | G | Cleveland |\n| Kyle Korver | 25 | 18 | 5 | 2 | 7-10 | 70% | 4-6 | 67% | 0-0 | 0% | 2 | 0 | 0 | 1 | 4 | 2 | N/A | Cleveland |\n| LeBron James | 42 | 16 | 2 | 15 | 6-12 | 50% | 1-4 | 25% | 3-3 | 100% | 1 | 5 | 1 | 0 | 2 | 2 | F | Cleveland |\n| Iman Shumpert | 26 | 16 | 0 | 0 | 6-9 | 67% | 4-6 | 67% | 0-0 | 0% | 2 | 0 | 0 | 0 | 0 | 0 | G | Cleveland |\n| Kevin Love | 31 | 15 | 17 | 1 | 6-16 | 38% | 1-6 | 17% | 2-2 | 100% | 0 | 2 | 0 | 5 | 12 | 1 | F | Cleveland |\n| Channing Frye | 19 | 10 | 0 | 1 | 3-7 | 43% | 2-5 | 40% | 2-2 | 100% | 3 | 0 | 0 | 0 | 0 | 4 | N/A | Cleveland |\n| Tristan Thompson | 26 | 9 | 4 | 0 | 3-6 | 50% | 0-1 | 0% | 3-6 | 50% | 2 | 0 | 2 | 1 | 3 | 3 | C | Cleveland |\n| Richard Jefferson | 21 | 8 | 3 | 2 | 2-3 | 67% | 1-2 | 50% | 3-5 | 60% | 0 | 1 | 0 | 1 | 2 | 2 | N/A | Cleveland |\n| Kay Felder | 1 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Cleveland |\n| James Jones | 1 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Cleveland |\n| DeAndre Liggins | 13 | 0 | 3 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 2 | 1 | N/A | Cleveland |\n| Jordan McRae | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Cleveland |" + } + ] + }, + { + "id": "table_recognition_train_item_68518", + "image": "table_instructV/images/TabFact_2-17577144-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| date | round | opponents | h / a | result f - a | attendance |\n| --- | --- | --- | --- | --- | --- |\n| 26 september 1991 | round 2 first leg | cambridge united | h | 3 - 0 | 30934 |\n| 9 october 1991 | round 2 second leg | cambridge united | a | 1 - 1 | 9248 |\n| 30 october 1991 | round 3 | portsmouth | h | 3 - 1 | 29543 |\n| 4 december 1991 | round 4 | oldham athletic | h | 2 - 0 | 38550 |\n| 8 january 1992 | round 5 | leeds united | a | 3 - 1 | 28886 |\n| 4 march 1992 | semi - final first leg | middlesbrough | a | 0 - 0 | 25572 |\n| 11 march 1992 | semi - final second leg | middlesbrough | h | 2 - 1 ( aet ) | 45875 |\n| 12 april 1992 | final | nottingham forest | n | 1 - 0 | 76810 |" + } + ] + }, + { + "id": "table_recognition_train_item_49204", + "image": "table_instructV/images/TAT-QA_3aaf302a-9bb8-42fa-97db-e940b9174f59.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| | | For the Years | Ended December 31, | |\n| --- | --- | --- | --- | --- |\n| | 2019 | 2018 | Increase/ (decrease) | % Change |\n| Net revenues by platform: | | | | |\n| Console | $1,920 | $2,538 | $(618) | (24)% |\n| PC | 1,718 | 2,180 | (462) | (21) |\n| Mobile and ancillary (1) | 2,203 | 2,175 | 28 | 1 |\n| Other (2) | 648 | 607 | 41 | 7 |\n| Total consolidated net revenues | $6,489 | $7,500 | $(1,011) | (13) |" + } + ] + }, + { + "id": "table_recognition_train_item_101238", + "image": "table_instructV/images/ToTTo_train_table_5224.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Rank | Lane | Name | Nationality | Time | Notes |\n| --- | --- | --- | --- | --- | --- |\n| | 3 | Kosuke Hagino | Japan | 4:06.05 | AS |\n| | 4 | Chase Kalisz | United States | 4:06.75 | |\n| | 5 | Daiya Seto | Japan | 4:09.71 | |\n| 4 | 2 | Max Litchfield | Great Britain | 4:11.62 | |\n| 5 | 6 | Jay Litherland | United States | 4:11.68 | |\n| 6 | 7 | Thomas Fraser-Holmes | Australia | 4:11.90 | |\n| 7 | 1 | Travis Mahoney | Australia | 4:15.48 | |\n| 8 | 8 | Joan Lluís Pons | Spain | 4:16.58 | |" + } + ] + }, + { + "id": "table_recognition_train_item_104174", + "image": "table_instructV/images/ToTTo_train_table_17517.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| # | Event Title | Date | Arena | Location |\n| --- | --- | --- | --- | --- |\n| 13 | BRACE 13 | November 19, 2011 | Townsville Entertainment Centre | Townsville, Australia |\n| 12 | BRACE 12 | October 15, 2011 | Derwent Entertainment Centre | Hobart, Australia |\n| 11 | BRACE 11 | September 17, 2011 | Chandler Theatre | Brisbane, Australia |\n| 10 | BRACE 10 | August 27, 2011 | Convention Centre | Canberra, Australia |\n| 9 | BRACE 9 | June 4, 2011 | Townsville Entertainment Centre | Townsville, Australia |\n| 8 | BRACE 8 | April 30, 2011 | Mansfield Tavern | Brisbane, Australia |\n| 7 | BRACE 7 | January 15, 2011 | Convention Centre | Canberra, Australia |" + } + ] + }, + { + "id": "table_recognition_train_item_50458", + "image": "table_instructV/images/TAT-QA_64cf85f6-c18e-4d03-8017-c4a77833a092.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| | Year ended June 30, | |\n| --- | --- | --- |\n| (In thousands) | 2019 | 2018 |\n| Audit fees (1) | $4,598 | $4,701 |\n| Audit-related fees (2) | — | — |\n| Tax fees (3) | 108 | 116 |\n| All other fees (4) | 40 | 101 |\n| Total | $4,746 | $4,918 |" + } + ] + }, + { + "id": "table_recognition_train_item_62074", + "image": "table_instructV/images/TabFact_2-10783853-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| home team | home team score | away team | away team score | venue | crowd | date |\n| --- | --- | --- | --- | --- | --- | --- |\n| essendon | 13.11 (89) | richmond | 7.5 (47) | windy hill | 21200 | 8 june 1963 |\n| carlton | 6.8 (44) | collingwood | 6.10 (46) | princes park | 38698 | 8 june 1963 |\n| st kilda | 8.13 (61) | hawthorn | 9.11 (65) | junction oval | 34900 | 8 june 1963 |\n| footscray | 6.16 (52) | south melbourne | 5.9 (39) | western oval | 22950 | 10 june 1963 |\n| fitzroy | 2.11 (23) | north melbourne | 6.15 (51) | brunswick street oval | 13400 | 10 june 1963 |\n| melbourne | 11.16 (82) | geelong | 4.11 (35) | mcg | 81550 | 10 june 1963 |" + } + ] + }, + { + "id": "table_recognition_train_item_34522", + "image": "table_instructV/images/TABMWP_5594.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of gym lockers | Number of basketballs |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_102811", + "image": "table_instructV/images/ToTTo_train_table_11783.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Particulars | Total | Male | Female |\n| --- | --- | --- | --- |\n| Total No. of Houses | 118 | | |\n| Population | 576 | 285 | 291 |\n| Child (0-6) | 52 | 23 | 29 |\n| Schedule Caste | 269 | 129 | 140 |\n| Schedule Tribe | 0 | 0 | 0 |\n| Literacy | 62.98 % | 68.32 % | 57.63 % |\n| Total Workers | 231 | 170 | 61 |\n| Main Worker | 221 | 0 | 0 |\n| Marginal Worker | 10 | 5 | 5 |" + } + ] + }, + { + "id": "table_recognition_train_item_50018", + "image": "table_instructV/images/TAT-QA_2a8bc35d-373f-41f5-bf6c-eceb9ab7d92f.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| FOR THE YEAR ENDED DECEMBER 31 | 2019 | 2018 |\n| --- | --- | --- |\n| Services (1) | | |\n| Wireless | 6,427 | 6,269 |\n| Wireline data | 7,684 | 7,466 |\n| Wireline voice | 3,564 | 3,782 |\n| Media | 2,811 | 2,677 |\n| Other wireline services | 251 | 247 |\n| Total services | 20,737 | 20,441 |\n| Products (2) | | |\n| Wireless | 2,660 | 2,497 |\n| Wireline data | 519 | 466 |\n| Wireline equipment and other | 48 | 64 |\n| Total products | 3,227 | 3,027 |\n| Total operating revenues | 23,964 | 23,468 |" + } + ] + }, + { + "id": "table_recognition_train_item_102852", + "image": "table_instructV/images/ToTTo_train_table_11958.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Event | Performance | Wind | Location | Date |\n| --- | --- | --- | --- | --- |\n| Pentathlon ind | 4464 | | United States Fayetteville, Arkansas, United States | 2013-01-25 |\n| Heptathlon | 6050 | | United States Eugene, Oregon, United States | 2013-06-07 |\n| 200 Metres | 24.31 | 0.6 | United States Columbia, Missouri, United States | 2012-06-07 |\n| 800 Metres | 2:12.05 | | United States Eugene, Oregon, United States | 2013-06-07 |\n| 800 Metres ind | 2:14.05 | | United States Fayetteville, Arkansas, United States | 2013-03-09 |\n| 100 Metres Hurdles | 13.52 | 1.0 | United States Eugene, Oregon, United States | 2013-06-06 |\n| 60 Metres Hurdles ind | 8.45 | | United States Fayetteville, Arkansas, United States | 2013-01-25 |\n| High Jump | 1.89 ind | | United States Fayetteville, Arkansas, United States | 2013-01-25 |\n| Long Jump | 6.05 | 2.0 | United States Eugene, Oregon, United States | 2013-06-07 |\n| Long Jump ind | 6.15 | | United States Fayetteville, Arkansas, United States | 2013-02-22 |\n| Shot Put | 12.89 | | United States Fayetteville, Arkansas, United States | 2012-06-07 |\n| Javelin Throw | 37.37 | | United States Miramar, Florida, United States | 2010-07-11 |" + } + ] + }, + { + "id": "table_recognition_train_item_60214", + "image": "table_instructV/images/TabFact_1-15535243-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| time | 06:00 pm | 07:00 pm | 08:00 pm | 09:00 pm | 10:00 pm | 10:30 pm | 11:00 pm |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| monday | asian hero (vj mike) | i am siam (live) | japan bravo (live) | life begin (live) | tunes | tunes | to ma dauy kan (vj ja) |\n| tuesday | asian hero (vj mike) | i am siam (live) | japan bravo (live) | life begin (live) | let entertain u (vj loukked) | let entertain u (vj loukked) | to ma dauy kan (vj ja) |\n| wednesday | asian hero (vj mike) | i am siam (live) | japan bravo (live) | life begin (live) | style | tunes | to ma dauy kan (vj ja) |\n| thursday | asian hero (vj mike) | i am siam (live) | japan bravo (live) | life begin (live) | let entertain u (vj loukked) | let entertain u (vj loukked) | to ma dauy kan (vj ja) |\n| friday | asian hero (vj mike) | i am siam (live) | japan bravo (live) | life begin (live) | tunes | tunes | to ma dauy kan (vj ja) |\n| saturday | i am siam (live) | i am siam (live) | play & learn | to ma dauy kan (vj ja) | the record shop | the record shop | countdown (vj pitta) |" + } + ] + }, + { + "id": "table_recognition_train_item_64364", + "image": "table_instructV/images/TabFact_1-26321719-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| name | population (2011) | population (2006) | change (%) | area (km square) | population density |\n| --- | --- | --- | --- | --- | --- |\n| beaubassin east | 6200 | 6429 | - 3.6 | 291.12 | 21.3 |\n| campobello island | 925 | 1056 | - 12.4 | 39.67 | 23.3 |\n| kedgwick | 993 | 1146 | - 13.4 | 4.28 | 232.2 |\n| saint - andré | 819 | 868 | - 5.6 | 8.12 | 100.8 |\n| upper miramichi | 2373 | 2414 | - 1.7 | 1835.01 | 1.3 |" + } + ] + }, + { + "id": "table_recognition_train_item_105991", + "image": "table_instructV/images/ToTTo_train_table_25189.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Player | Country | Year(s) won | R1 | R2 | R3 | R4 | Total | To par | Finish |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ernie Els | South Africa | 2002 | 67 | 70 | 68 | 68 | 273 | −7 | 1 |\n| Tiger Woods | United States | 2000, 2005, 2006 | 67 | 67 | 70 | 73 | 277 | −3 | T3 |\n| Mark Calcavecchia | United States | 1989 | 71 | 68 | 69 | 72 | 280 | E | T9 |\n| Louis Oosthuizen | South Africa | 2010 | 72 | 68 | 68 | 73 | 281 | +1 | T19 |\n| Paul Lawrie | Scotland | 1999 | 65 | 71 | 76 | 72 | 284 | +4 | T34 |\n| Pádraig Harrington | Ireland | 2007, 2008 | 70 | 72 | 70 | 73 | 285 | +5 | T39 |\n| Tom Watson | United States | 1975, 1977, 1980, 1982, 1983 | 71 | 72 | 76 | 73 | 292 | +12 | T77 |\n| John Daly | United States | 1995 | 72 | 71 | 77 | 74 | 294 | +14 | T81 |" + } + ] + }, + { + "id": "table_recognition_train_item_31865", + "image": "table_instructV/images/TABMWP_11999.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| Number of buckets | Number of blue blocks |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | 20 |\n| 5 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_105634", + "image": "table_instructV/images/ToTTo_train_table_23626.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| # | Event Title | Date | Arena | Location |\n| --- | --- | --- | --- | --- |\n| 1 | Glory 19: Virginia | February 6, 2015 | Hampton Coliseum | United States Hampton, Virginia, USA |\n| 2 | Glory 20: Dubai | April 3, 2015 | Dubai World Trade Centre | United Arab Emirates Dubai, UAE |\n| 3 | Glory 21: San Diego | May 8, 2015 | Valley View Casino Center | United States San Diego, California, USA |\n| 4 | Glory 22: Lille | June 5, 2015 | Stade Pierre-Mauroy | France Lille, France |\n| 5 | Glory 23: Las Vegas | August 3, 2015 | Hard Rock Hotel and Casino | United States Las Vegas, Nevada, USA |\n| 6 | Bellator/Glory: Dynamite 1 | September 19, 2015 | SAP Center | United States San Jose, California, USA |\n| 7 | Glory 24: Denver | October 9, 2015 | Magness Arena | United States Denver, Colorado, USA |\n| 8 | Glory 25: Milan | November 6, 2015 | PalaIper | Italy Milan, Italy |\n| 9 | Glory 26: Amsterdam | December 4, 2015 | Amsterdam RAI | Netherlands Amsterdam, Netherlands |" + } + ] + }, + { + "id": "table_recognition_train_item_30785", + "image": "table_instructV/images/TABMWP_463.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $910 | 19,200 | 1,200 |\n| $970 | 17,800 | 5,500 |\n| $1,030 | 16,400 | 9,800 |\n| $1,090 | 15,000 | 14,100 |\n| $1,150 | 13,600 | 18,400 |" + } + ] + }, + { + "id": "table_recognition_train_item_113951", + "image": "table_instructV/images/Rotowire_train_table_1318.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Suns | Phoenix | 111 | 24 | 28 | 25 | 34 | 21 | 44 | 12 | 46 | 71 | 33 | 26 | 19 | | | | |\n| Rockets | Houston | 113 | 32 | 28 | 27 | 26 | 24 | 41 | 14 | 52 | 75 | 37 | 30 | 14 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Suns | | | | | | | | | | | | | | | | | | |\n| Eric Bledsoe | 39 | 25 | 8 | 9 | 8-14 | 57% | 1-4 | 25% | 8-10 | 80% | 0 | 3 | 1 | 1 | 7 | 5 | G | Phoenix |\n| Isaiah Thomas | 38 | 22 | 5 | 4 | 7-20 | 35% | 4-9 | 44% | 4-4 | 100% | 0 | 5 | 0 | 1 | 4 | 2 | N/A | Phoenix |\n| Markieff Morris | 24 | 21 | 4 | 1 | 9-14 | 64% | 0-0 | 0% | 3-4 | 75% | 1 | 3 | 0 | 2 | 2 | 4 | F | Phoenix |\n| Gerald Green | 23 | 15 | 2 | 0 | 6-14 | 43% | 3-9 | 33% | 0-0 | 0% | 0 | 0 | 0 | 2 | 0 | 2 | N/A | Phoenix |\n| Marcus Morris | 24 | 12 | 6 | 2 | 5-9 | 56% | 2-3 | 67% | 0-0 | 0% | 2 | 1 | 0 | 1 | 5 | 4 | N/A | Phoenix |\n| PJ Tucker | 29 | 6 | 5 | 3 | 2-7 | 29% | 0-3 | 0% | 2-2 | 100% | 0 | 0 | 0 | 2 | 3 | 3 | F | Phoenix |\n| Alex Len | 24 | 4 | 11 | 0 | 2-3 | 67% | 0-0 | 0% | 0-2 | 0% | 0 | 0 | 2 | 3 | 8 | 1 | C | Phoenix |\n| Miles Plumlee | 6 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 1 | 1 | N/A | Phoenix |\n| Goran Dragic | 18 | 2 | 0 | 2 | 1-5 | 20% | 0-2 | 0% | 0-2 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | G | Phoenix |\n| Brandan Wright | 15 | 2 | 2 | 0 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 2 | 1 | 1 | 1 | N/A | Phoenix |\n| Archie Goodwin | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Reggie Bullock | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Zoran Dragic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Rockets | | | | | | | | | | | | | | | | | | |\n| James Harden | 40 | 33 | 6 | 10 | 8-18 | 44% | 3-6 | 50% | 14-17 | 82% | 3 | 3 | 1 | 0 | 6 | 4 | G | Houston |\n| Donatas Motiejunas | 23 | 15 | 6 | 0 | 7-11 | 64% | 0-0 | 0% | 1-2 | 50% | 1 | 1 | 0 | 2 | 4 | 4 | F | Houston |\n| Josh Smith | 26 | 14 | 3 | 3 | 7-11 | 64% | 0-2 | 0% | 0-1 | 0% | 0 | 6 | 2 | 0 | 3 | 1 | N/A | Houston |\n| Patrick Beverley | 34 | 14 | 4 | 4 | 5-13 | 39% | 4-7 | 57% | 0-0 | 0% | 0 | 0 | 1 | 1 | 3 | 2 | G | Houston |\n| Corey Brewer | 21 | 14 | 3 | 0 | 7-12 | 58% | 0-2 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 2 | 2 | N/A | Houston |\n| Trevor Ariza | 36 | 11 | 6 | 4 | 5-10 | 50% | 1-4 | 25% | 0-0 | 0% | 0 | 2 | 0 | 2 | 4 | 0 | F | Houston |\n| Dwight Howard | 8 | 5 | 3 | 1 | 2-2 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 0 | C | Houston |\n| Joey Dorsey | 20 | 4 | 6 | 0 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 1 | 0 | 6 | 5 | N/A | Houston |\n| Jason Terry | 15 | 3 | 0 | 0 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Houston |\n| Kostas Papanikolaou | 17 | 0 | 4 | 2 | 0-4 | 0% | 0-4 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 4 | 3 | N/A | Houston |\n| Alexey Shved | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Terrence Jones | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |" + } + ] + }, + { + "id": "table_recognition_train_item_115705", + "image": "table_instructV/images/Rotowire_train_table_2195.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nuggets | Denver | 96 | 26 | 25 | 22 | 23 | 22 | 40 | 15 | 38 | 67 | 35 | 20 | 37 | | | | |\n| Suns | Phoenix | 110 | 35 | 23 | 25 | 27 | 19 | 65 | 19 | 43 | 75 | 33 | 30 | 28 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Nuggets | | | | | | | | | | | | | | | | | | |\n| Will Barton | 34 | 22 | 8 | 3 | 6-9 | 67% | 3-5 | 60% | 7-8 | 88% | 0 | 2 | 1 | 2 | 6 | 2 | N/A | Denver |\n| Danilo Gallinari | 34 | 20 | 7 | 1 | 6-16 | 38% | 5-11 | 46% | 3-3 | 100% | 1 | 6 | 1 | 1 | 6 | 0 | F | Denver |\n| Ty Lawson | 38 | 13 | 4 | 7 | 5-12 | 42% | 2-5 | 40% | 1-2 | 50% | 3 | 1 | 0 | 1 | 3 | 4 | G | Denver |\n| Joffrey Lauvergne | 26 | 11 | 9 | 1 | 4-7 | 57% | 1-1 | 100% | 2-5 | 40% | 1 | 2 | 1 | 3 | 6 | 2 | N/A | Denver |\n| Gary Harris | 26 | 9 | 0 | 2 | 3-10 | 30% | 1-5 | 20% | 2-2 | 100% | 1 | 1 | 0 | 0 | 0 | 4 | G | Denver |\n| Jusuf Nurkic | 21 | 8 | 8 | 2 | 3-7 | 43% | 0-0 | 0% | 2-3 | 67% | 1 | 2 | 1 | 1 | 7 | 4 | C | Denver |\n| JJ Hickson | 22 | 8 | 3 | 0 | 2-5 | 40% | 0-0 | 0% | 4-6 | 67% | 1 | 0 | 1 | 1 | 2 | 0 | N/A | Denver |\n| Randy Foye | 22 | 4 | 0 | 2 | 2-11 | 18% | 0-6 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 0 | 3 | N/A | Denver |\n| Darrell Arthur | 3 | 1 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 0 | F | Denver |\n| Jameer Nelson | 13 | 0 | 1 | 4 | 0-3 | 0% | 0-1 | 0% | 0-2 | 0% | 2 | 0 | 0 | 1 | 0 | 0 | N/A | Denver |\n| Kenneth Faried | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Erick Green | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Wilson Chandler | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Suns | | | | | | | | | | | | | | | | | | |\n| Brandon Knight | 33 | 19 | 3 | 5 | 7-16 | 44% | 3-8 | 38% | 2-2 | 100% | 0 | 2 | 0 | 0 | 3 | 1 | G | Phoenix |\n| Eric Bledsoe | 36 | 18 | 6 | 6 | 7-15 | 47% | 1-3 | 33% | 3-3 | 100% | 2 | 6 | 1 | 2 | 4 | 2 | G | Phoenix |\n| Gerald Green | 21 | 15 | 4 | 3 | 5-12 | 42% | 3-9 | 33% | 2-3 | 67% | 0 | 3 | 1 | 0 | 4 | 4 | N/A | Phoenix |\n| PJ Tucker | 31 | 12 | 8 | 2 | 3-9 | 33% | 0-3 | 0% | 6-6 | 100% | 5 | 1 | 1 | 3 | 5 | 2 | F | Phoenix |\n| Marcus Morris | 23 | 12 | 9 | 1 | 4-6 | 67% | 1-1 | 100% | 3-4 | 75% | 0 | 2 | 0 | 3 | 6 | 1 | N/A | Phoenix |\n| TJ Warren | 20 | 10 | 7 | 0 | 5-8 | 63% | 0-0 | 0% | 0-2 | 0% | 0 | 1 | 0 | 4 | 3 | 2 | N/A | Phoenix |\n| Brandan Wright | 18 | 8 | 6 | 0 | 4-9 | 44% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 3 | 3 | 3 | 3 | N/A | Phoenix |\n| Alex Len | 21 | 6 | 10 | 0 | 2-8 | 25% | 0-0 | 0% | 2-4 | 50% | 0 | 1 | 1 | 5 | 5 | 4 | C | Phoenix |\n| Markieff Morris | 22 | 5 | 9 | 2 | 1-5 | 20% | 0-0 | 0% | 3-4 | 75% | 2 | 2 | 0 | 1 | 8 | 3 | F | Phoenix |\n| Earl Barron | 9 | 2 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 2 | 0 | 2 | N/A | Phoenix |\n| Reggie Bullock | 1 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Phoenix |\n| Archie Goodwin | 6 | 1 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Phoenix |\n| Marcus Thornton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |" + } + ] + }, + { + "id": "table_recognition_train_item_66902", + "image": "table_instructV/images/TabFact_2-17102076-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- |\n| 49 | february 1 | oklahoma city | w 122 - 118 (ot) | kevin martin (37) | arco arena 10817 | 11 - 38 |\n| 50 | february 2 | phoenix | l 81 - 129 (ot) | john salmons (19) | us airways center 18422 | 11 - 39 |\n| 51 | february 6 | utah | l 107 - 111 (ot) | kevin martin (37) | arco arena 17317 | 11 - 40 |\n| 52 | february 8 | oklahoma city | l 113 - 116 (ot) | beno udrih (29) | ford center 18271 | 11 - 41 |\n| 53 | february 10 | dallas | l 100 - 118 (ot) | kevin martin (18) | american airlines center 19667 | 11 - 42 |\n| 54 | february 11 | houston | l 82 - 94 (ot) | kevin martin (18) | toyota center 15626 | 11 - 43 |\n| 55 | february 18 | atlanta | l 100 - 105 (ot) | kevin martin (32) | arco arena 11213 | 11 - 44 |\n| 56 | february 20 | memphis | w 115 - 106 (ot) | kevin martin (33) | fedexforum 15036 | 12 - 44 |\n| 57 | february 21 | dallas | l 95 - 116 (ot) | beno udrih (18) | american airlines center 20223 | 12 - 45 |\n| 58 | february 23 | new orleans | l 105 - 112 (ot) | kevin martin (32) | arco arena 11633 | 12 - 46 |\n| 59 | february 25 | charlotte | l 91 - 98 (ot) | kevin martin (27) | arco arena 10439 | 12 - 47 |\n| 60 | february 27 | la clippers | w 98 - 86 (ot) | kevin martin (20) | arco arena 12846 | 13 - 47 |\n| 61 | february 28 | utah | l 89 - 102 (ot) | kevin martin (19) | energysolutions arena 19911 | 13 - 48 |" + } + ] + }, + { + "id": "table_recognition_train_item_35227", + "image": "table_instructV/images/TABMWP_27158.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 8 | 10 |\n| 15 | 4 |\n| 2 | 3 |\n| 1 | 7 |" + } + ] + }, + { + "id": "table_recognition_train_item_114611", + "image": "table_instructV/images/Rotowire_train_table_1648.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hornets | Charlotte | 92 | 19 | 30 | 23 | 20 | 13 | 44 | 11 | 41 | 91 | 8 | 33 | 43 | | | | |\n| 76ers | Philadelphia | 91 | 16 | 35 | 18 | 22 | 13 | 40 | 15 | 37 | 73 | 42 | 18 | 59 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Kemba Walker | 34 | 24 | 5 | 2 | 11-21 | 52% | 0-1 | 0% | 2-2 | 100% | 0 | 2 | 0 | 0 | 5 | 0 | G | Charlotte |\n| Mo Williams | 31 | 18 | 1 | 5 | 5-17 | 29% | 0-6 | 0% | 8-8 | 100% | 0 | 3 | 1 | 0 | 1 | 3 | N/A | Charlotte |\n| Marvin Williams | 34 | 11 | 7 | 0 | 3-7 | 43% | 0-2 | 0% | 5-6 | 83% | 1 | 1 | 0 | 1 | 6 | 3 | F | Charlotte |\n| Bismack Biyombo | 32 | 9 | 9 | 0 | 3-4 | 75% | 0-0 | 0% | 3-4 | 75% | 0 | 1 | 3 | 3 | 6 | 3 | C | Charlotte |\n| Jeff Taylor | 26 | 7 | 4 | 3 | 2-4 | 50% | 0-0 | 0% | 3-3 | 100% | 1 | 1 | 0 | 3 | 1 | 0 | F | Charlotte |\n| Gerald Henderson | 30 | 7 | 3 | 2 | 3-12 | 25% | 1-1 | 100% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 3 | G | Charlotte |\n| Noah Vonleh | 14 | 6 | 6 | 1 | 3-6 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 3 | 3 | 3 | N/A | Charlotte |\n| PJ Hairston | 17 | 6 | 3 | 0 | 3-10 | 30% | 0-3 | 0% | 0-0 | 0% | 1 | 0 | 0 | 2 | 1 | 1 | N/A | Charlotte |\n| Jason Maxiell | 16 | 4 | 6 | 0 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 1 | 5 | 2 | N/A | Charlotte |\n| Lance Stephenson | 7 | 0 | 0 | 0 | 0-3 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 2 | N/A | Charlotte |\n| Al Jefferson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Brian Roberts | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Troy Daniels | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Robert Covington | 30 | 15 | 6 | 1 | 4-10 | 40% | 3-6 | 50% | 4-4 | 100% | 1 | 3 | 0 | 1 | 5 | 3 | G | Philadelphia |\n| Ish Smith | 33 | 15 | 9 | 5 | 6-20 | 30% | 1-5 | 20% | 2-4 | 50% | 0 | 3 | 1 | 2 | 7 | 2 | G | Philadelphia |\n| Hollis Thompson | 24 | 14 | 2 | 0 | 3-8 | 38% | 3-5 | 60% | 5-5 | 100% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Philadelphia |\n| Jerami Grant | 29 | 10 | 4 | 2 | 3-7 | 43% | 2-3 | 67% | 2-4 | 50% | 2 | 2 | 6 | 0 | 4 | 4 | F | Philadelphia |\n| Furkan Aldemir | 29 | 8 | 6 | 2 | 2-4 | 50% | 0-0 | 0% | 4-6 | 67% | 0 | 0 | 2 | 2 | 4 | 4 | C | Philadelphia |\n| Luc Mbah a Moute | 31 | 8 | 5 | 0 | 1-7 | 14% | 1-3 | 33% | 5-8 | 63% | 0 | 2 | 1 | 2 | 3 | 2 | N/A | Philadelphia |\n| JaKarr Sampson | 17 | 8 | 1 | 2 | 4-6 | 67% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Philadelphia |\n| Glenn Robinson | 19 | 7 | 3 | 1 | 3-7 | 43% | 1-2 | 50% | 0-0 | 0% | 0 | 2 | 1 | 1 | 2 | 1 | N/A | Philadelphia |\n| Henry Sims | 17 | 4 | 2 | 0 | 1-5 | 20% | 0-1 | 0% | 2-2 | 100% | 0 | 1 | 2 | 2 | 0 | 4 | N/A | Philadelphia |\n| Nerlens Noel | 11 | 2 | 2 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 1 | 1 | 1 | 0 | F | Philadelphia |\n| Jason Richardson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Isaiah Canaan | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Thomas Robinson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |" + } + ] + }, + { + "id": "table_recognition_train_item_32959", + "image": "table_instructV/images/TABMWP_24198.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Number of logs | Number of butterflies |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | 10 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_58308", + "image": "table_instructV/images/TabFact_2-10790099-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| home team | home team score | away team | away team score | venue | crowd | date |\n| --- | --- | --- | --- | --- | --- | --- |\n| collingwood | 16.5 (101) | melbourne | 11.17 (83) | victoria park | 7000 | 18 june 1932 |\n| carlton | 17.16 (118) | st kilda | 7.12 (54) | princes park | 15000 | 18 june 1932 |\n| south melbourne | 14.21 (105) | geelong | 14.12 (96) | lake oval | 38000 | 18 june 1932 |\n| north melbourne | 9.8 (62) | footscray | 13.13 (91) | arden street oval | 18000 | 18 june 1932 |\n| richmond | 14.16 (100) | fitzroy | 8.13 (61) | punt road oval | 13000 | 18 june 1932 |\n| hawthorn | 7.9 (51) | essendon | 8.17 (65) | glenferrie oval | 7000 | 18 june 1932 |" + } + ] + }, + { + "id": "table_recognition_train_item_31781", + "image": "table_instructV/images/TABMWP_11091.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Number of packages | Number of buttons |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | 40 |\n| 5 | 50 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_59274", + "image": "table_instructV/images/TabFact_2-15872814-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 46 | february 2 | indiana | w 98 - 97 (ot) | chris bosh (25) | chris bosh (15) | milt palacio (7) | conseco fieldhouse 14783 | 19 - 27 |\n| 47 | february 4 | washington | w 103 - 100 (ot) | jalen rose (26) | chris bosh (11) | rafer alston (8) | air canada centre 15546 | 20 - 27 |\n| 48 | february 6 | dallas | l 113 - 122 (ot) | chris bosh (29) | chris bosh (8) | rafer alston (8) | air canada centre 17896 | 20 - 28 |\n| 49 | february 8 | cleveland | l 91 - 104 (ot) | jalen rose (21) | loren woods (9) | milt palacio (9) | gund arena 17036 | 20 - 29 |\n| 50 | february 9 | milwaukee | l 107 - 110 (ot) | jalen rose (26) | chris bosh (9) | rafer alston (12) | air canada centre 14269 | 20 - 30 |\n| 51 | february 11 | philadelphia | l 91 - 106 (ot) | jalen rose (23) | jalen rose (10) | chris bosh , morris peterson , jalen rose (5) | air canada centre 19800 | 20 - 31 |\n| 52 | february 13 | la clippers | w 109 - 106 (ot) | chris bosh (26) | chris bosh (10) | rafer alston (8) | air canada centre 15721 | 21 - 31 |\n| 53 | february 16 | chicago | l 115 - 121 (ot) | chris bosh (28) | chris bosh , jalen rose (7) | rafer alston (8) | air canada centre 15881 | 21 - 32 |\n| 54 | february 22 | new jersey | w 100 - 82 (ot) | jalen rose (30) | chris bosh (12) | rafer alston (6) | continental airlines arena 14080 | 22 - 32 |\n| 55 | february 25 | milwaukee | w 106 - 102 (ot) | chris bosh (27) | chris bosh , donyell marshall (8) | rafer alston (7) | bradley center 15883 | 23 - 32 |\n| 56 | february 27 | la lakers | w 108 - 102 (ot) | jalen rose (26) | chris bosh (15) | milt palacio (7) | air canada centre 19800 | 24 - 32 |" + } + ] + }, + { + "id": "table_recognition_train_item_100510", + "image": "table_instructV/images/ToTTo_train_table_2166.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| Model | Dimensions | Weight | Engine | Power | Tyres | Power/Weight | Acceleration 0–100 km/h | Top Speed |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| San Vito S1 | 3740/1700/1150/2160 | 930 kg (2050 lb) | Rear longitudinal L4 1800 cc | 150 HP @ 7000 rpm | Front:225 / 40 2R 18 Rear:235 / 40 2R 18 | 161.2 HP/ton | 6.5 s | 220 km/h (137 MPH) |" + } + ] + }, + { + "id": "table_recognition_train_item_68494", + "image": "table_instructV/images/TabFact_2-11172765-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | september 22 , 1948 | detroit lions | w 44 - 7 | 12941 |\n| 2 | october 3 , 1948 | philadelphia eagles | t 28 - 28 | 36884 |\n| 3 | october 10 , 1948 | chicago bears | l 42 - 21 | 43707 |\n| 4 | october 17 , 1948 | green bay packers | l 16 - 0 | 25119 |\n| 5 | october 24 , 1948 | detroit lions | w 34 - 27 | 17444 |\n| 6 | october 31 , 1948 | chicago cardinals | l 27 - 22 | 32149 |\n| 7 | november 7 , 1948 | chicago bears | l 21 - 6 | 56263 |\n| 8 | november 14 , 1948 | new york giants | w 52 - 37 | 22766 |\n| 9 | november 21 , 1948 | chicago cardinals | l 27 - 24 | 29031 |\n| 10 | november 28 , 1948 | green bay packers | w 24 - 10 | 23874 |\n| 11 | december 5 , 1948 | washington redskins | w 41 - 13 | 32970 |\n| 12 | december 12 , 1948 | pittsburgh steelers | w 31 - 14 | 27967 |" + } + ] + }, + { + "id": "table_recognition_train_item_52124", + "image": "table_instructV/images/TabFact_2-10809368-13.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| home team | home team score | away team | away team score | venue | crowd | date |\n| --- | --- | --- | --- | --- | --- | --- |\n| north melbourne | 6.11 (47) | richmond | 11.9 (75) | arden street oval | 10000 | 20 july 1946 |\n| footscray | 5.11 (41) | st kilda | 6.10 (46) | western oval | 10000 | 20 july 1946 |\n| hawthorn | 15.22 (112) | geelong | 11.15 (81) | glenferrie oval | 5000 | 20 july 1946 |\n| south melbourne | 9.13 (67) | essendon | 10.8 (68) | junction oval | 23000 | 20 july 1946 |\n| fitzroy | 8.8 (56) | collingwood | 8.13 (61) | brunswick street oval | 15000 | 20 july 1946 |\n| melbourne | 10.12 (72) | carlton | 7.13 (55) | punt road oval | 26000 | 20 july 1946 |" + } + ] + }, + { + "id": "table_recognition_train_item_104196", + "image": "table_instructV/images/ToTTo_train_table_17619.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Year | Team | Games | Receptions | Yards | Yards per Reception | Longest Reception | Touchdowns | First Downs | Fumbles | Fumbles Lost |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1995 | SEA | 16 | 67 | 1,039 | 15.5 | 59 | 7 | 66 | 1 | 1 |\n| 1996 | SEA | 16 | 57 | 987 | 17.3 | 65 | 7 | 42 | 2 | 2 |\n| 1997 | SEA | 15 | 72 | 1,049 | 14.6 | 53 | 12 | 55 | 0 | 0 |\n| 1998 | SEA | 16 | 65 | 1,047 | 16.1 | 81 | 10 | 46 | 1 | 1 |\n| 1999 | SEA | 8 | 22 | 335 | 15 | 48 | 1 | 17 | 0 | 0 |\n| 2000 | DAL | 1 | 4 | 62 | 15.5 | 22 | 1 | 4 | 0 | 0 |\n| 2001 | DAL | 16 | 52 | 699 | 13.4 | 47 | 3 | 53 | 1 | 0 |\n| 2002 | DAL | 16 | 61 | 908 | 14.9 | 80 | 6 | 33 | 1 | 1 |\n| 2003 | DAL | 15 | 34 | 672 | 19.8 | 64 | 2 | 2 | 0 | 0 |\n| 2004 | TB | 10 | 33 | 416 | 15.6 | 36 | 5 | 25 | 0 | 0 |\n| 2005 | TB | 16 | 83 | 1,287 | 15.5 | 80 | 10 | 57 | 0 | 0 |\n| 2006 | TB | 16 | 62 | 1,057 | 17.0 | 64 | 7 | 44 | 0 | 0 |\n| 2007 | TB | 15 | 57 | 1,043 | 17.8 | 69 | 6 | 37 | 1 | 0 |\n| 2008 | TB | 9 | 13 | 168 | 10.6 | 22 | 0 | 6 | 0 | 0 |\n| 2009 | NE | 3 | 7 | 68 | 9.6 | 19 | 0 | 3 | 0 | 0 |\n| 2009 | PIT | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 2010 | WSH | 10 | 12 | 173 | 14.4 | 62 | 0 | 9 | 0 | 0 |\n| Career | | 198 | 701 | 10,950 | 15.6 | 81 | 77 | 484 | 6 | 5 |" + } + ] + }, + { + "id": "table_recognition_train_item_105019", + "image": "table_instructV/images/ToTTo_train_table_21108.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Year | Title | Language(s) | Producer | Writer | Acting role | Other | |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2001 | Minnale | Tamil | No | Yes | Flower man | | |\n| 2001 | Rehnaa Hai Terre Dil Mein | Hindi | No | Yes | Maddy's boss | | |\n| 2003 | Kaakha Kaakha | Tamil | No | Yes | Police officer | Dubbing artist for Jeevan | |\n| 2004 | Gharshana | Telugu | No | Yes | No | | |\n| 2006 | Vettaiyaadu Vilaiyaadu | Tamil | No | Yes | Dancer | | |\n| 2007 | Pachaikili Muthucharam | Tamil | No | Yes | Bus passenger | Dubbing artist for Milind Soman | |\n| 2008 | Vaaranam Aayiram | Tamil | No | Yes | Informer | | |\n| 2010 | Vinnaithaandi Varuvaayaa | Tamil | No | Yes | Himself | | |\n| 2010 | Ye Maaya Chesave | Telugu | No | Yes | Actor | | |\n| 2011 | Nadunisi Naaygal | Tamil | Yes | Yes | No | | |\n| 2012 | Ekk Deewana Tha | Hindi | Yes | Yes | No | | |\n| 2012 | Neethaane En Ponvasantham | Tamil | Yes | Yes | No | | |\n| 2012 | Yeto Vellipoyindhi Manasu | Telugu | Yes | Yes | No | | |\n| 2015 | Yennai Arindhaal | Tamil | No | Yes | Police officer | | |\n| 2016 | Achcham Enbadhu Madamaiyada | Tamil | Yes | Yes | Police officer | | |\n| 2016 | Sahasam Swasaga Sagipo | Telugu | Yes | Yes | Police officer | | |\n| 2019 | Enai Noki Paayum Thota | Tamil | Yes | Yes | No | Delayed | |\n| 2019 | Dhruva Natchathiram | Tamil | Yes | Yes | TBA | Delayed | |\n| TBA | Vinnaithaandi Varuvaayaa 2 | Tamil | TBA | Yes | TBA | | |" + } + ] + }, + { + "id": "table_recognition_train_item_101672", + "image": "table_instructV/images/ToTTo_train_table_7092.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| # | Mayor | Term |\n| --- | --- | --- |\n| 88 | Annette Waddle | 2001–2002 |\n| 89 | Janie Dickenson | 2002–2005 |\n| 90 | Ivan Dean | 2005–2007 |\n| 91 | Albert Van Zetten | 2007 – present |" + } + ] + }, + { + "id": "table_recognition_train_item_100449", + "image": "table_instructV/images/ToTTo_train_table_1882.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| United States | 2–0 | Canada |\n| --- | --- | --- |\n| Altidore 15' Dempsey 62' | Report | |" + } + ] + }, + { + "id": "table_recognition_train_item_111447", + "image": "table_instructV/images/Rotowire_train_table_66.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Celtics | Boston | 117 | 21 | 34 | 29 | 33 | 29 | 38 | 7 | 55 | 68 | 42 | 38 | 42 | | | | |\n| Cavaliers | Cleveland | 78 | 22 | 9 | 24 | 23 | 18 | 44 | 24 | 39 | 68 | 14 | 51 | 29 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Isaiah Thomas | 22 | 17 | 2 | 6 | 5-10 | 50% | 2-4 | 50% | 5-6 | 83% | 2 | 1 | 0 | 0 | 2 | 2 | N/A | Boston |\n| Evan Turner | 27 | 15 | 7 | 5 | 6-12 | 50% | 0-1 | 0% | 3-4 | 75% | 4 | 1 | 1 | 0 | 7 | 1 | F | Boston |\n| Avery Bradley | 28 | 12 | 0 | 4 | 5-9 | 56% | 2-5 | 40% | 0-0 | 0% | 2 | 2 | 0 | 0 | 0 | 2 | G | Boston |\n| Jared Sullinger | 17 | 11 | 2 | 4 | 4-7 | 57% | 0-1 | 0% | 3-4 | 75% | 1 | 0 | 0 | 1 | 1 | 4 | N/A | Boston |\n| Jonas Jerebko | 19 | 10 | 3 | 2 | 4-7 | 57% | 2-3 | 67% | 0-2 | 0% | 2 | 0 | 0 | 2 | 1 | 3 | N/A | Boston |\n| Kelly Olynyk | 18 | 10 | 7 | 1 | 4-5 | 80% | 0-1 | 0% | 2-2 | 100% | 1 | 1 | 0 | 3 | 4 | 2 | N/A | Boston |\n| Tyler Zeller | 19 | 10 | 5 | 0 | 5-6 | 83% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 5 | 2 | C | Boston |\n| Jae Crowder | 25 | 9 | 7 | 3 | 3-7 | 43% | 1-3 | 33% | 2-4 | 50% | 3 | 0 | 0 | 0 | 7 | 1 | N/A | Boston |\n| Marcus Smart | 33 | 7 | 0 | 2 | 3-9 | 33% | 1-4 | 25% | 0-0 | 0% | 4 | 0 | 0 | 0 | 0 | 2 | G | Boston |\n| Gigi Datome | 9 | 6 | 1 | 0 | 2-3 | 67% | 2-2 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Boston |\n| Brandon Bass | 18 | 6 | 3 | 0 | 3-7 | 43% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 0 | 3 | 2 | F | Boston |\n| Phil Pressey | 6 | 4 | 1 | 2 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Boston |\n| Gerald Wallace | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Cavaliers | | | | | | | | | | | | | | | | | | |\n| Iman Shumpert | 38 | 15 | 10 | 3 | 6-15 | 40% | 1-5 | 20% | 2-4 | 50% | 0 | 7 | 0 | 1 | 9 | 4 | G | Cleveland |\n| Tristan Thompson | 28 | 14 | 5 | 0 | 5-11 | 46% | 0-0 | 0% | 4-6 | 67% | 0 | 3 | 1 | 2 | 3 | 0 | F | Cleveland |\n| James Jones | 26 | 14 | 4 | 0 | 4-7 | 57% | 1-3 | 33% | 5-5 | 100% | 0 | 0 | 1 | 1 | 3 | 2 | N/A | Cleveland |\n| Timofey Mozgov | 23 | 9 | 8 | 1 | 4-11 | 36% | 0-0 | 0% | 1-2 | 50% | 0 | 4 | 1 | 4 | 4 | 0 | C | Cleveland |\n| Joe Harris | 25 | 9 | 2 | 1 | 4-8 | 50% | 0-3 | 0% | 1-2 | 50% | 0 | 0 | 1 | 0 | 2 | 5 | N/A | Cleveland |\n| Shawn Marion | 26 | 8 | 7 | 0 | 4-9 | 44% | 0-2 | 0% | 0-0 | 0% | 1 | 2 | 0 | 2 | 5 | 0 | F | Cleveland |\n| Matthew Dellavedova | 32 | 7 | 2 | 9 | 3-12 | 25% | 1-6 | 17% | 0-0 | 0% | 0 | 4 | 0 | 1 | 1 | 1 | G | Cleveland |\n| Mike Miller | 24 | 2 | 2 | 2 | 1-4 | 25% | 0-3 | 0% | 0-0 | 0% | 0 | 3 | 1 | 0 | 2 | 3 | N/A | Cleveland |\n| Kendrick Perkins | 19 | 0 | 4 | 2 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 4 | 3 | N/A | Cleveland |\n| Brendan Haywood | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| LeBron James | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Kyrie Irving | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| JR Smith | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |" + } + ] + }, + { + "id": "table_recognition_train_item_55490", + "image": "table_instructV/images/TabFact_2-10651104-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | august 10 , 1975 | san francisco 49ers | l 17 - 13 | 45560 |\n| 2 | august 16 , 1975 | philadelphia eagles | w 14 - 6 | 35769 |\n| 3 | august 22 , 1975 | washington redskins | l 23 - 14 | 15513 |\n| 4 | september 1 , 1975 | buffalo bills | l 34 - 20 | 31155 |\n| 5 | september 7 , 1975 | new york giants at seattle | w 24 - 20 | 20000 |\n| 6 | september 13 , 1975 | detroit lions | l 27 - 24 | 32341 |" + } + ] + }, + { + "id": "table_recognition_train_item_33792", + "image": "table_instructV/images/TABMWP_32769.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Month | Change in water level (in.) |\n| --- | --- |\n| April | -6 |\n| May | 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_48820", + "image": "table_instructV/images/TAT-QA_68451206-6733-41b6-84e3-5b0edc7b7c3e.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | Fair Value | Useful Life |\n| --- | --- | --- |\n| | (U.S. $ in thousands) | (years) |\n| Developed technology | $50,600 | 3 |\n| Customer relationships | 56,900 | 2 |\n| Trade names | 19,900 | 3 |\n| Total intangible assets subject to amortization | $127,400 | |" + } + ] + }, + { + "id": "table_recognition_train_item_56456", + "image": "table_instructV/images/TabFact_1-17340355-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 19 | december 3 | new orleans | l 91 - 104 (ot) | amar'e stoudemire (26) | matt barnes (7) | grant hill (6) | new orleans arena 15804 | 11 - 8 |\n| 20 | december 4 | dallas | l 97 - 112 (ot) | amar'e stoudemire (28) | matt barnes (6) | steve nash (10) | american airlines center 19813 | 11 - 9 |\n| 21 | december 6 | utah | w 106 - 104 (ot) | leandro barbosa (25) | amar'e stoudemire (20) | steve nash (9) | us airways center 18422 | 12 - 9 |\n| 22 | december 9 | milwaukee | w 125 - 110 (ot) | shaquille o'neal (35) | shaquille o'neal , amar'e stoudemire (8) | steve nash (10) | us airways center 18422 | 13 - 9 |\n| 23 | december 10 | la lakers | l 110 - 115 (ot) | matt barnes (25) | amar'e stoudemire (11) | steve nash (9) | staples center 18997 | 13 - 10 |\n| 25 | december 15 | new york | w 111 - 103 (ot) | shaquille o'neal (23) | amar'e stoudemire (14) | steve nash (6) | us airways center 18422 | 15 - 10 |\n| 26 | december 18 | portland | l 119 - 124 (ot) | amar'e stoudemire (23) | amar'e stoudemire (8) | steve nash (11) | rose garden 20650 | 15 - 11 |\n| 27 | december 20 | denver | w 108 - 101 (ot) | amar'e stoudemire (27) | amar'e stoudemire (10) | steve nash (11) | us airways center 18422 | 16 - 11 |\n| 28 | december 25 | san antonio | l 90 - 91 (ot) | amar'e stoudemire (25) | amar'e stoudemire (13) | steve nash (8) | us airways center 18422 | 16 - 12 |\n| 29 | december 29 | oklahoma city | w 110 - 102 (ot) | shaquille o'neal (28) | shaquille o'neal (12) | leandro barbosa , amar'e stoudemire (5) | ford center 19136 | 17 - 12 |" + } + ] + }, + { + "id": "table_recognition_train_item_106377", + "image": "table_instructV/images/ToTTo_train_table_26831.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Model | Engine | Displacement | Max power | Max torque | Acceleration 0-60 mph/s | Top speed |\n| --- | --- | --- | --- | --- | --- | --- |\n| Fighter | V10 | 7,994 cc (487.8 cu in) | 525 bhp (391 kW; 532 PS) @ 5,500 rpm | 525 lb⋅ft (712 N⋅m) @ 4,200 rpm | c 4.0 | 210 mph (340 km/h) |\n| Fighter S | V10 | 7,994 cc (487.8 cu in) | 628 bhp (468 kW; 637 PS) @ 5,900 rpm | 580 lb⋅ft (790 N⋅m) @ 3,900 rpm | 4.0 | 210 mph (340 km/h) |\n| Fighter T | V10 turbo | 7,994 cc (487.8 cu in) | 1,012 bhp (755 kW; 1,026 PS) @ 5,600 rpm | 1,036 lb⋅ft (1,405 N⋅m) @ 4,500 rpm | 3.5 | 225 mph (362 km/h) limited |" + } + ] + }, + { + "id": "table_recognition_train_item_65584", + "image": "table_instructV/images/TabFact_2-15085721-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | september 8 , 1980 | dallas cowboys | l 17 - 3 | 55045 |\n| 2 | september 18 , 1980 | new york giants | w 23 - 21 | 73343 |\n| 3 | september 21 , 1980 | oakland raiders | l 24 - 21 | 45163 |\n| 4 | september 28 , 1980 | seattle seahawks | l 14 - 0 | 53263 |\n| 5 | october 5 , 1980 | philadelphia eagles | l 24 - 14 | 69044 |\n| 6 | october 13 , 1980 | denver broncos | l 20 - 17 | 74657 |\n| 7 | october 19 , 1980 | st louis cardinals | w 23 - 0 | 51060 |\n| 8 | october 26 , 1980 | new orleans saints | w 22 - 14 | 51375 |\n| 9 | november 2 , 1980 | minnesota vikings | l 39 - 14 | 52060 |\n| 10 | november 9 , 1980 | chicago bears | l 35 - 21 | 57159 |\n| 11 | november 16 , 1980 | philadelphia eagles | l 24 - 0 | 51897 |\n| 12 | november 23 , 1980 | dallas cowboys | l 14 - 10 | 58809 |\n| 13 | november 30 , 1980 | atlanta falcons | l 10 - 6 | 55665 |\n| 14 | december 7 , 1980 | san diego chargers | w 40 - 17 | 48556 |\n| 15 | december 13 , 1980 | new york giants | w 16 - 13 | 44443 |\n| 16 | december 21 , 1980 | st louis cardinals | w 31 - 7 | 35942 |" + } + ] + }, + { + "id": "table_recognition_train_item_52670", + "image": "table_instructV/images/TabFact_2-1235700-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| year | chassis | engine | start | finish |\n| --- | --- | --- | --- | --- |\n| 1976 | eagle | offy | 17th | 18th |\n| 1977 | wildcat | offy | dnq | dnq |\n| 1979 | wildcat | dgs | 22nd | 21st |\n| 1981 | mclaren | cosworth | 18th | 3rd |\n| 1982 | penske | cosworth | dnq | dnq |" + } + ] + }, + { + "id": "table_recognition_train_item_57650", + "image": "table_instructV/images/TabFact_1-24143253-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| name | deceased spouse | cause of death | date of spouses death | length of marriage | children together | current marital status |\n| --- | --- | --- | --- | --- | --- | --- |\n| samuel beckett | suzanne dãchevaux - dumesnil | unknown | july 17 , 1989 (aged89) | 28 years | none | deceased (1989) |\n| jan berenstain | stan berenstain | unknown | november 26 , 2005 (aged82) | 59 years | 2 sons (leo , michael) | deceased (2012) |\n| ray bradbury | marguerite mcclure | not known | november 24 , 2003 (aged81) | 56 years | 4 daughters (susan , ramona , bettina , alexandra) | deceased (2012) |\n| mary welsh hemingway | ernest hemingway | suicide | july 2 , 1961 (aged61) | 15 years | none (miscarriage) | deceased (1986) |\n| norris church mailer | norman mailer | acute renal failure | november 10 , 2007 (aged84) | 27 years | 1 son ( john ) | deceased (2010) |\n| frederica sagor maas | ernest maas | natural causes | july 21 , 1986 (aged94) | 59 years | none | deceased (2012) |\n| edgar allan poe | virginia eliza clemm poe | tuberculosis | january 30 , 1847 (aged24) | 11 years | none | deceased (1849) |\n| dr seuss | helen palmer geisel | overdose of barbiturates | october 23 , 1967 (aged68) | 40 years | none | deceased (1991) |\n| robert treuhaft | jessica mitford | lung cancer | july 22 , 1996 (aged78) | 53 years | 2 sons (nicholas , benjamin) | deceased (2001) |" + } + ] + }, + { + "id": "table_recognition_train_item_64020", + "image": "table_instructV/images/TabFact_1-29391888-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| series | season | title | directed by | written by | original air date | production code |\n| --- | --- | --- | --- | --- | --- | --- |\n| 67 | 1 | the tattle tale heart | burt brinckerhoff | brenda hampton | september 20 , 1999 | 3.47 |\n| 68 | 2 | life is too beautiful | tony mordente | brenda hampton | september 27 , 1999 | 3.87 |\n| 69 | 3 | yak sada | bradley gross | elizabeth orange | october 4 , 1999 | 3.88 |\n| 70 | 4 | come drive with me | anson williams | ron darian | october 11 , 1999 | 3.98 |\n| 71 | 5 | with honors | harvey laidman | sue tenney | october 18 , 1999 | 3.74 |\n| 72 | 6 | just you wait and see | paul snider | linda ptolemy | october 25 , 1999 | 3.76 |\n| 73 | 7 | sin… (part 1) | tony mordente | catherine lepard | november 8 , 1999 | 3.20 |\n| 74 | 8 | …and expiation (part 2) | tony mordente | catherine lepard | november 15 , 1999 | 3.84 |\n| 75 | 9 | dirty laundry | burt brinckerhoff | elaine arata | november 22 , 1999 | 2.22 |\n| 76 | 10 | who nose | harvey laidman | suzanne fitzpatrick | november 29 , 1999 | 2.98 |\n| 77 | 11 | forget me not | david j plenn | sue tenney | december 13 , 1999 | 2.54 |\n| 78 | 12 | all by myself | kevin inch | brenda hampton & sue tenney | january 24 , 2000 | 3.96 |\n| 79 | 13 | who do you trust | joel j feigenbaum | ron darian & brenda hampton | january 31 , 2000 | 3.83 |\n| 80 | 14 | words | burt brinckerhoff | sue tenney | february 7 , 2000 | 2.54 |\n| 81 | 15 | loves me , loves me not | bradley gross | brenda hampton | february 14 , 2000 | 3.89 |\n| 82 | 16 | say a little prayer for me | harry harris | brenda hampton | february 21 , 2000 | 4.85 |\n| 83 | 17 | twelve angry people | tony mordente | carol tenney | february 28 , 2000 | 3.98 |\n| 84 | 18 | hoop dreams | david j plenn | jon bastian | april 10 , 2000 | 2.80 |\n| 85 | 19 | talk to me | tony mordente | elaine arata | may 1 , 2000 | 3.87 |\n| 86 | 20 | liar , liar | paul snider | brenda hampton | may 8 , 2000 | 3.74 |\n| 87 | 21 | love stinks (part 1) | burt brinckerhoff | sue tenney | may 15 , 2000 | 2.73 |" + } + ] + }, + { + "id": "table_recognition_train_item_54946", + "image": "table_instructV/images/TabFact_1-16457934-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| c / w 15 + | oblast age | 15 to 17 | 18 to 19 | 20 to 24 | 25 to 29 | 30 to 34 | 35 to 39 | 40 to 44 | 45 to 49 | 50 to 54 | 55 to 59 | 60 to 64 | 65 to 69 | 70 + |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1736 | belgorod | 24 | 160 | 599 | 1203 | 1528 | 1821 | 1906 | 1941 | 1903 | 1836 | 1857 | 1971 | 2139 |\n| 1779 | voronezh | 20 | 182 | 591 | 1221 | 1558 | 1817 | 1950 | 1925 | 1966 | 1936 | 1994 | 1990 | 2050 |\n| 1668 | kaluga | 0 | 67 | 438 | 1050 | 1449 | 1596 | 1777 | 1872 | 1883 | 1851 | 1826 | 1828 | 2087 |\n| 1525 | moscow | 15 | 75 | 470 | 997 | 1340 | 1541 | 1690 | 1726 | 1655 | 1677 | 1650 | 1687 | 1836 |\n| 1732 | smolensk | 0 | 103 | 574 | 1189 | 1466 | 1729 | 1863 | 1953 | 1913 | 2097 | 1889 | 2106 | 2074 |\n| 1351 | gorod moscow | 47 | 130 | 396 | 856 | 1240 | 1474 | 1583 | 1585 | 1562 | 1479 | 1451 | 1493 | 1637 |\n| 1597 | komi | 31 | 126 | 453 | 1021 | 1347 | 1725 | 1807 | 1917 | 1974 | 1947 | 1971 | 2129 | 2188 |\n| 1764 | arkhangelsk | 0 | 79 | 420 | 1050 | 1365 | 1704 | 1870 | 2001 | 2003 | 2137 | 2074 | 2270 | 2249 |\n| 1555 | kaliningrad | 37 | 138 | 357 | 950 | 1343 | 1635 | 1764 | 1736 | 1716 | 1699 | 1741 | 1699 | 1937 |\n| 1590 | leningrad | 9 | 74 | 424 | 935 | 1336 | 1633 | 1792 | 1794 | 1750 | 1806 | 1778 | 1801 | 2014 |\n| 1469 | murmansk | 7 | 89 | 425 | 965 | 1348 | 1562 | 1705 | 1731 | 1773 | 1724 | 1777 | 1774 | 2073 |\n| 1669 | novgorod | 45 | na | 530 | 1175 | 1472 | 1687 | 1897 | 1721 | 1936 | 1678 | 1723 | 2021 | 2027 |\n| 1666 | pskov | 0 | 48 | 456 | 1039 | 1439 | 1697 | 1895 | 1944 | 1787 | 1975 | 1839 | 1929 | 1991 |\n| 1329 | gorod sankt peterburg | 13 | 68 | 262 | 755 | 1149 | 1370 | 1521 | 1507 | 1488 | 1432 | 1436 | 1433 | 1622 |\n| 1917 | adyghea | 42 | 71 | 442 | 1080 | 1502 | 1799 | 1998 | 2089 | 2054 | 2037 | 2070 | 2091 | 2201 |\n| 1840 | krasnodar | 15 | 98 | 534 | 1184 | 1486 | 1710 | 1955 | 1920 | 1972 | 1991 | 1959 | 2006 | 2114 |\n| 1849 | stavropol | 51 | 63 | 508 | 1088 | 1492 | 1818 | 1970 | 2016 | 2032 | 1927 | 2021 | 2063 | 2149 |\n| 1842 | volgograd | 0 | 182 | 511 | 1132 | 1518 | 1733 | 1903 | 1990 | 2013 | 1912 | 1961 | 1973 | 2246 |\n| 1801 | rostov | 11 | 90 | 565 | 1149 | 1543 | 1771 | 1907 | 1917 | 1958 | 1930 | 1897 | 1938 | 2086 |\n| 1520 | kirov | 21 | 79 | 398 | 942 | 1355 | 1653 | 1838 | 1894 | 1836 | 1810 | 1867 | 1976 | 2271 |\n| 1997 | orenburg | 25 | 145 | 540 | 1193 | 1565 | 1858 | 2084 | 2123 | 2073 | 2062 | 2227 | 2371 | 2561 |\n| 1858 | saratov | 31 | 157 | 565 | 1130 | 1504 | 1709 | 1906 | 1952 | 1938 | 1950 | 1961 | 2073 | 2296 |\n| 1643 | sverdlovsk | 42 | 132 | 457 | 1034 | 1419 | 1632 | 1759 | 1866 | 1753 | 1754 | 1759 | 1869 | 2047 |\n| 1521 | tyumen | 16 | 93 | 512 | 1044 | 1430 | 1676 | 1810 | 1895 | 1910 | 1927 | 2056 | 2250 | 2467 |\n| 1509 | yugra | 22 | 95 | 517 | 1030 | 1413 | 1670 | 1801 | 1887 | 1908 | 1912 | 2020 | 2256 | 2498 |\n| 1475 | yamal | 10 | 115 | 532 | 1068 | 1427 | 1682 | 1785 | 1879 | 1891 | 1911 | 1943 | 2030 | 2161 |\n| 1791 | chelyabinsk | 14 | 64 | 502 | 1068 | 1451 | 1741 | 1896 | 1878 | 1849 | 1875 | 1962 | 2012 | 2272 |\n| 2107 | altay | 19 | 144 | 603 | 1174 | 1556 | 1798 | 2068 | 2153 | 2154 | 2118 | 2243 | 2386 | 2803 |\n| 1671 | krasnoyarsk | 6 | 70 | 461 | 1016 | 1388 | 1654 | 1827 | 1916 | 1898 | 1900 | 1884 | 2075 | 2275 |\n| 1714 | evenkia | 0 | 0 | 556 | 1167 | 1313 | 2031 | 1880 | 2000 | 1905 | 1900 | 2333 | 2500 | 2500 |\n| 1972 | irkutsk | 14 | 60 | 431 | 1152 | 1601 | 1803 | 1955 | 2117 | 2150 | 1999 | 2129 | 2306 | 2572 |\n| 1860 | kemerovo | 24 | 32 | 522 | 1069 | 1381 | 1739 | 1855 | 2023 | 1947 | 1835 | 1892 | 2065 | 2289 |\n| 1825 | novosibirsk | 48 | 190 | 515 | 1000 | 1332 | 1693 | 1889 | 1913 | 1917 | 1800 | 1943 | 2096 | 2354 |\n| 2065 | omsk | 8 | 131 | 524 | 1154 | 1475 | 1797 | 2073 | 2169 | 2182 | 2291 | 2337 | 2559 | 2716 |\n| 1612 | yakutstan | 84 | 88 | 563 | 1207 | 1481 | 1771 | 1877 | 1963 | 1903 | 1832 | 1936 | 2039 | 2302 |\n| 2074 | primorye | 34 | 108 | 547 | 1179 | 1520 | 1859 | 2001 | 2153 | 2197 | 2143 | 2129 | 2329 | 2693 |\n| 1900 | khabarovsk | 59 | 68 | 483 | 998 | 1494 | 1700 | 1944 | 2008 | 2103 | 2033 | 1933 | 2286 | 2613 |" + } + ] + }, + { + "id": "table_recognition_train_item_107837", + "image": "table_instructV/images/ToTTo_train_table_32860.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| # | Name | Took Office | Left Office | Party |\n| --- | --- | --- | --- | --- |\n| 1. | Iain MacKay | 1978 | 1981 | Liberal |\n| 2. | Tony Penikett | 1981 | 1985 | NDP |\n| 3. | Willard Phelps | 1985 | 1991 | Progressive Conservative |\n| 4. | Daniel Lang | 1991 | 1992 | Yukon Party** |\n| 5. | Tony Penikett | 1992 | 1995 | NDP |\n| 6. | Piers McDonald | 1995 | 1996 | NDP |\n| 7. | John Ostashek | 1996 | 1999 | Yukon Party |\n| 8. | Pat Duncan | 1999 | 2000 | Liberal |\n| 9. | Trevor Harding | 2000 | 2000 | NDP |\n| 10. | Eric Fairclough | 2001 | 2002 | NDP |\n| 11. | Todd Hardy | 2002 | 2006 | NDP |\n| 12. | Arthur Mitchell | 2006 | 2011 | Liberal |\n| 13. | Liz Hanson | 2011 | 2016 | NDP |\n| 14. | Stacey Hassard | 2016 | present | Yukon Party |" + } + ] + }, + { + "id": "table_recognition_train_item_32759", + "image": "table_instructV/images/TABMWP_21744.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | Desert | Rainforest |\n| --- | --- | --- |\n| A tent | 3 | 7 |\n| Matches | 5 | 5 |" + } + ] + }, + { + "id": "table_recognition_train_item_49238", + "image": "table_instructV/images/TAT-QA_6abb170c-ca67-4b40-9b66-5cee89019980.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| | December 31, | | |\n| --- | --- | --- | --- |\n| | (in thousands) | | |\n| | 2019 | 2018 | Estimated Useful Life |\n| Acquired and internally developed software costs | $36,137 | $18,972 | 3 - 7 years |\n| Customer relationships | 4,860 | 160 | 7 years |\n| Non-compete agreements | 30 | 30 | 1 year |\n| | 41,027 | 19,162 | |\n| Less accumulated amortization | (12,389) | (11,708) | |\n| | $28,638 | $7,454 | |\n| Internally developed software costs not meeting general release threshold | 2,500 | 3,005 | |\n| Trademarks, trade names (non-amortizable) | 1,810 | 400 | Indefinite |\n| | $32,948 | $10,859 | |" + } + ] + }, + { + "id": "table_recognition_train_item_67606", + "image": "table_instructV/images/TabFact_2-11972762-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| title | other performer (s) | director (s) | album | year |\n| --- | --- | --- | --- | --- |\n| pon de replay | n / a | little x | music of the sun | 2005 |\n| if it 's lovin' that you want | n / a | marcus raboy | music of the sun | 2005 |\n| sos | n / a | chris applebaum | a girl like me | 2006 |\n| unfaithful | n / a | anthony mandler | a girl like me | 2006 |\n| we ride | n / a | anthony mandler | a girl like me | 2006 |\n| umbrella | jay - z | chris applebaum | good girl gone bad | 2007 |\n| shut up and drive | n / a | anthony mandler | good girl gone bad | 2007 |\n| hate that i love you | ne - yo / david bisbal | anthony mandler | good girl gone bad | 2007 |\n| don't stop the music | n / a | anthony mandler | good girl gone bad | 2007 |\n| take a bow | n / a | anthony mandler | good girl gone bad : reloaded | 2008 |\n| if i never see your face again | maroon 5 | anthony mandler | good girl gone bad : reloaded | 2008 |\n| disturbia | n / a | anthony mandler | good girl gone bad : reloaded | 2008 |\n| rehab | n / a | anthony mandler | good girl gone bad | 2008 |\n| live your life | ti | anthony mandler | paper trail | 2008 |\n| run this town | jay - z and kanye west | anthony mandler | the blueprint 3 | 2009 |\n| wait your turn | n / a | anthony mandler | rated r | 2009 |\n| russian roulette | n / a | anthony mandler | rated r | 2009 |\n| hard | young jeezy | melina matsoukas | rated r | 2009 |\n| shy ronnie | the lonely island | akiva schaffer | n / a | 2009 |\n| rude boy | n / a | melina matsoukas | rated r | 2010 |\n| rockstar 101 | slash | melina matsoukas | rated r | 2010 |\n| te amo | n / a | anthony mandler | rated r | 2010 |\n| love the way you lie | eminem | joseph kahn | recovery | 2010 |\n| who 's that chick | david guetta | jonas ã…kerlund | one more love | 2010 |\n| only girl (in the world) | n / a | anthony mandler | loud | 2010 |\n| shy ronnie 2: ronnie & clyde | the lonely island | akiva schaffer | turtleneck & chain | 2010 |\n| what 's my name | drake | philip andelman | loud | 2010 |\n| s&m | n / a | melina matsoukas | loud | 2011 |\n| all of the lights | kanye west and kid cudi | hype williams | my beautiful dark twisted fantasy | 2011 |\n| california king bed | n / a | anthony mandler | loud | 2011 |\n| man down | n / a | anthony mandler | loud | 2011 |\n| cheers (drink to that) | n / a | evan rogers and ciara pardo | loud | 2011 |\n| fly | nicki minaj | sanaa hamri | pink friday | 2011 |\n| we found love | calvin harris | melina matsoukas | talk that talk | 2011 |\n| you da one | n / a | melina matsoukas | talk that talk | 2011 |\n| take care | drake | yoann lemoine | take care | 2012 |\n| where have you been | n / a | dave meyers | talk that talk | 2012 |\n| princess of china | coldplay | adria petty and alan bibby | mylo xyloto | 2012 |\n| diamonds | n / a | anthony mandler | unapologetic | 2012 |\n| stay | mikky ekko | sophie muller | unapologetic | 2013 |\n| pour it up | n / a | robyn fenty | unapologetic | 2013 |\n| what now | n / a | unknown | unapologetic | 2013 |" + } + ] + }, + { + "id": "table_recognition_train_item_34071", + "image": "table_instructV/images/TABMWP_35727.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Dog | Weight change (oz.) |\n| --- | --- |\n| Sprinkles | 5 |\n| Champ | -6 |" + } + ] + }, + { + "id": "table_recognition_train_item_69996", + "image": "table_instructV/images/TabFact_2-17442480-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| res | record | opponent | method | event | round | location |\n| --- | --- | --- | --- | --- | --- | --- |\n| win | 12 - 5 | danilo pereira | submission (heel hook) | 2009 m - 1 challenge seasonfinal round | 1 | st petersburg , russia |\n| win | 11 - 5 | matt thorpe | submission (reverse heel hook) | 2009 m - 1 challenge seasonfinal round | 1 | rostov - on - don , russia |\n| win | 10 - 5 | jason jones | submission (heel hook) | m - 1 global | 2 | st petersburg , russia |\n| win | 9 - 5 | eulogio fernandez | submission (toe hold) | m - 1 global | 1 | st petersburg , russia |\n| loss | 8 - 5 | adlan amagov | decision (unanimous) | perm regional mma | 2 | perm , russia |\n| loss | 8 - 4 | yuta watanabe | submission (rear naked choke) | m - 1 global | 1 | st petersburg , russia |\n| win | 8 - 3 | sergey podyachikh | tko (punches) | legion fight 2 | 1 | krasnodar , russia |\n| loss | 7 - 3 | nick thompson | submission (rear naked choke) | bodog fight - usa vs russia | 1 | vancouver , british columbia , canada |\n| loss | 7 - 2 | josh koscheck | submission (rear naked choke) | ufc ultimate fight night 4 | 1 | las vegas , nevada , united states |\n| loss | 7 - 1 | thiago alves | ko (punches) | ufc 56 | 1 | las vegas , nevada , united states |\n| win | 7 - 0 | dennis hallman | tko (corner stoppage) | euphoria - usa vs russia | 2 | atlantic city , new jersey , united states |\n| win | 6 - 0 | dave strasser | submission (guillotine choke) | m - 1 mfc - russia vs the world 7 | 1 | st petersburg , russia |\n| win | 5 - 0 | vladimir yushko | submission (armbar) | m - 1 mfc - russia vs the world 6 | 1 | moscow , russia |\n| win | 4 - 0 | denis komkin | decision (majority) | m - 1 mfc - russia vs the world 5 | 1 | st petersburg , russia |\n| win | 3 - 0 | krzysztof kulak | submission (choke) | wafc world championship 2003 | 1 | moscow , russia |\n| win | 2 - 0 | vitelmo kubis bandeira | ko (punch) | wafc - world championship 2003 | 1 | moscow , russia |\n| win | 1 - 0 | andrei rudakov | tko | wafc world championship 2003 | 2 | moscow , russia |" + } + ] + }, + { + "id": "table_recognition_train_item_107834", + "image": "table_instructV/images/ToTTo_train_table_32843.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 2009 | Reasons for Living | Laura | BAC |\n| 2009 | The Tempest | Miranda/Ariel | UK tour |\n| 2011 | Plenty | Louise/Dorcas | Sheffield Crucible Theatre |\n| 2012 | Uncle Vanya | Sonya | Vaudeville Theatre |\n| 2013 | The Fitzrovia Radio Hour | Arabella | Underglobe Theatre |\n| 2016 | The Maids | Madam | Trafalgar Studios |\n| 2017 | Apologia | Trudi | Trafalgar Studios |" + } + ] + }, + { + "id": "table_recognition_train_item_52018", + "image": "table_instructV/images/TabFact_2-17323274-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| game | march | opponent | score | record |\n| --- | --- | --- | --- | --- |\n| 64 | 3 | california golden seals | 8 - 1 | 40 - 14 - 10 |\n| 65 | 6 | detroit red wings | 2 - 2 | 40 - 14 - 11 |\n| 66 | 7 | los angeles kings | 4 - 2 | 41 - 14 - 11 |\n| 67 | 10 | chicago black hawks | 4 - 2 | 42 - 14 - 11 |\n| 68 | 12 | philadelphia flyers | 7 - 2 | 43 - 14 - 11 |\n| 69 | 14 | toronto maple leafs | 1 - 0 | 44 - 14 - 11 |\n| 70 | 18 | philadelphia flyers | 2 - 1 | 44 - 15 - 11 |\n| 71 | 20 | toronto maple leafs | 3 - 1 | 44 - 16 - 11 |\n| 72 | 21 | montreal canadiens | 6 - 2 | 44 - 17 - 11 |\n| 73 | 23 | buffalo sabres | 7 - 2 | 45 - 17 - 11 |\n| 74 | 27 | boston bruins | 6 - 3 | 46 - 17 - 11 |\n| 75 | 28 | boston bruins | 2 - 1 | 47 - 17 - 11 |\n| 76 | 31 | chicago black hawks | 4 - 2 | 48 - 17 - 11 |" + } + ] + }, + { + "id": "table_recognition_train_item_100143", + "image": "table_instructV/images/ToTTo_train_table_579.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Program | Network | Debut date |\n| --- | --- | --- |\n| The Lost Islands | The 0-10 Network | 1 January |\n| The Celebrity Game | The 0-10 Network | 9 February |\n| Tandarra | Seven Network | 10 February |\n| Luke's Kingdom | Nine Network | 7 April |\n| In the Wild | ABC | 12 July |\n| The Inventors | ABC | 28 July |\n| Bluey | Seven Network | 2 August |\n| Flashez | ABC | 2 August |\n| Alvin Purple | ABC | 13 August |\n| The Bluestone Boys | The 0-10 Network | 3 September |\n| Chopper Squad | The 0-10 Network | 5 November |\n| The Young Doctors | Nine Network | 8 November |\n| Solo One | Seven Network | 8 November |\n| The Outsiders | ABC | 9 November |\n| The Sullivans | Nine Network | 15 November |\n| Ask the Leyland Brothers | Nine Network | 1976 |\n| The Daryl and Ossie Cartoon Show | Nine Network | 1976 |" + } + ] + }, + { + "id": "table_recognition_train_item_105349", + "image": "table_instructV/images/ToTTo_train_table_22476.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| SN | Party | Seats Contested | Seats won | Seats Changed | % Votes |\n| --- | --- | --- | --- | --- | --- |\n| 1 | Indian National Congress (I) | 288 | 142 | 90 | 38.54% |\n| 2 | Bharatiya Jana Sangh | 195 | 41 | +29 | 30.34% |\n| 3 | Praja Socialist Party | 140 | 33 | +21 | 2.88% |\n| 4 | Socialist Party | 86 | 14 | +14 | 4.73% |\n| 5 | Akhil Bharatiya Ram Rajya Parishad | 76 | 10 | +5 | 4.73% |\n| 6 | Akhil Bharatiya Hindu Mahasabha | 50 | 6 | 1 | 4.73% |\n| 7 | Swatantra Party | 43 | 2 | +2 | 1.23% |\n| 8 | Communist Party of India | 42 | 1 | 1 | 2.02% |\n| 9 | Independent | 320 | 39 | +19 | 10.26% |\n| | Total | | 288 | | |" + } + ] + }, + { + "id": "table_recognition_train_item_112735", + "image": "table_instructV/images/Rotowire_train_table_710.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Rockets | Houston | 102 | 27 | 18 | 24 | 33 | 18 | 49 | 19 | 47 | 71 | 25 | 15 | 14 | | | | |\n| Hornets | Charlotte | 95 | 28 | 16 | 16 | 35 | 20 | 35 | 11 | 35 | 81 | 29 | 15 | 12 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Rockets | | | | | | | | | | | | | | | | | | |\n| James Harden | 35 | 36 | 5 | 7 | 9-16 | 56% | 2-7 | 29% | 16-19 | 84% | 0 | 4 | 1 | 1 | 4 | 4 | G | Houston |\n| Terrence Jones | 24 | 17 | 6 | 0 | 7-11 | 64% | 0-1 | 0% | 3-5 | 60% | 0 | 0 | 2 | 2 | 4 | 2 | N/A | Houston |\n| Marcus Thornton | 14 | 13 | 1 | 1 | 4-7 | 57% | 2-4 | 50% | 3-4 | 75% | 1 | 2 | 0 | 0 | 1 | 2 | N/A | Houston |\n| Patrick Beverley | 27 | 11 | 7 | 1 | 3-9 | 33% | 2-4 | 50% | 3-6 | 50% | 0 | 1 | 0 | 2 | 5 | 5 | G | Houston |\n| Dwight Howard | 27 | 9 | 9 | 0 | 4-5 | 80% | 0-0 | 0% | 1-3 | 33% | 0 | 5 | 1 | 1 | 8 | 6 | C | Houston |\n| Donatas Motiejunas | 23 | 6 | 4 | 4 | 2-7 | 29% | 0-2 | 0% | 2-2 | 100% | 0 | 1 | 0 | 1 | 3 | 1 | N/A | Houston |\n| Trevor Ariza | 31 | 5 | 3 | 0 | 2-6 | 33% | 1-5 | 20% | 0-0 | 0% | 1 | 3 | 0 | 0 | 3 | 2 | F | Houston |\n| Clint Capela | 20 | 3 | 8 | 0 | 1-3 | 33% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 2 | 6 | 5 | F | Houston |\n| Jason Terry | 21 | 2 | 3 | 2 | 1-4 | 25% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 3 | N/A | Houston |\n| Corey Brewer | 19 | 0 | 3 | 3 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 3 | 3 | N/A | Houston |\n| Ty Lawson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| KJ McDaniels | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Montrezl Harrell | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Kemba Walker | 41 | 14 | 5 | 6 | 3-10 | 30% | 2-6 | 33% | 6-6 | 100% | 0 | 4 | 0 | 1 | 4 | 5 | G | Charlotte |\n| Jeremy Lin | 22 | 13 | 1 | 5 | 4-6 | 67% | 1-3 | 33% | 4-7 | 57% | 0 | 1 | 0 | 1 | 0 | 5 | N/A | Charlotte |\n| Marvin Williams | 26 | 12 | 6 | 0 | 2-9 | 22% | 2-5 | 40% | 6-6 | 100% | 0 | 0 | 1 | 2 | 4 | 3 | F | Charlotte |\n| Frank Kaminsky | 23 | 12 | 5 | 0 | 4-8 | 50% | 2-5 | 40% | 2-3 | 67% | 0 | 0 | 1 | 0 | 5 | 0 | N/A | Charlotte |\n| Cody Zeller | 26 | 10 | 7 | 0 | 5-9 | 56% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 2 | 5 | 6 | C | Charlotte |\n| Jeremy Lamb | 19 | 10 | 2 | 3 | 3-9 | 33% | 1-5 | 20% | 3-3 | 100% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | Charlotte |\n| Nicolas Batum | 34 | 9 | 5 | 3 | 3-11 | 27% | 0-3 | 0% | 3-4 | 75% | 1 | 2 | 0 | 0 | 5 | 2 | F | Charlotte |\n| PJ Hairston | 20 | 7 | 2 | 0 | 2-12 | 17% | 2-9 | 22% | 1-2 | 50% | 1 | 0 | 0 | 2 | 0 | 3 | G | Charlotte |\n| Spencer Hawes | 21 | 3 | 1 | 2 | 1-5 | 20% | 1-2 | 50% | 0-0 | 0% | 3 | 1 | 1 | 0 | 1 | 3 | N/A | Charlotte |\n| Troy Daniels | 2 | 3 | 0 | 0 | 1-2 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Charlotte |\n| Brian Roberts | 6 | 2 | 1 | 1 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 0 | N/A | Charlotte |\n| Tyler Hansbrough | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Al Jefferson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |" + } + ] + }, + { + "id": "table_recognition_train_item_49376", + "image": "table_instructV/images/TAT-QA_9b137ba1-7c80-464b-ba39-c1eec0f305bd.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| | | Year Ended | |\n| --- | --- | --- | --- |\n| | January 3, 2020 | December 28, 2018 | December 29, 2017 |\n| | | (in millions, except for per share amounts) | |\n| Favorable impact | $95 | $167 | $185 |\n| Unfavorable impact | (52) | (62) | (82) |\n| Net favorable impact to income before income taxes | $43 | $105 | $103 |\n| Impact on diluted EPS attributable to Leidos common stockholders | $0.23 | $0.52 | $0.41 |" + } + ] + }, + { + "id": "table_recognition_train_item_61422", + "image": "table_instructV/images/TabFact_2-1795208-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| outcome | year | championship | opponent in the final | score |\n| --- | --- | --- | --- | --- |\n| winner | 2005 | world snooker championship | matthew stevens | 18 - 16 |\n| runner - up | 2006 | welsh open | stephen lee | 4 - 9 |\n| winner | 2007 | malta cup | ryan day | 9 - 4 |\n| runner - up | 2008 | china open | stephen maguire | 9 - 10 |\n| winner | 2008 | uk championship | marco fu | 10 - 9 |\n| runner - up | 2009 | world snooker championship | john higgins | 9 - 18 |\n| winner | 2011 | players tour championship - finals | martin gould | 4 - 0 |\n| runner - up | 2012 | uk championship | mark selby | 6 - 10 |" + } + ] + }, + { + "id": "table_recognition_train_item_54174", + "image": "table_instructV/images/TabFact_2-15887683-20.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| television service | country | language | content | hdtv | package / option |\n| --- | --- | --- | --- | --- | --- |\n| sky inside | italy | italian | presentazione | no | no ( fta ) |\n| sky inside | italy | italian | presentazione | no | no ( fta ) |\n| sky inside | italy | italian | presentazione | no | no ( fta ) |\n| sky test | italy | italian | monoscopio | no | qualsiasi ( fta ) |\n| sky assist | italy | italian | assistenza | no | qualsiasi |" + } + ] + }, + { + "id": "table_recognition_train_item_65578", + "image": "table_instructV/images/TabFact_2-14948141-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| year | champion | subchampion | scoreboard | fronton |\n| --- | --- | --- | --- | --- |\n| 1988 - 89 | ladutxe - tolosa | retegi ii - arretxe | 22 - 18 | anoeta |\n| 1990 - 91 | retegi ii - arretxe | salaberria - galarza iii | 22 - 19 | anoeta |\n| 1991 - 92 | vergara ii - arretxe | unanue - zezeaga | 22 - 18 | ogueta |\n| 1992 - 93 | alustiza - maiz ii | titín iii - arretxe | 22 - 20 | ogueta |\n| 1993 - 94 | titin iii - arretxe | retegi ii - beloki | 22 - 14 | ogueta |\n| 1995 - 96 | capellán - beloki | etxaniz - arretxe | 22 - 18 | atano iii |" + } + ] + }, + { + "id": "table_recognition_train_item_117915", + "image": "table_instructV/images/Rotowire_train_table_3300.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Lakers | Los Angeles | 105 | 31 | 15 | 31 | 28 | 23 | 43 | 11 | 44 | 81 | 44 | 15 | 57 | | | | |\n| Nuggets | Denver | 116 | 24 | 34 | 25 | 33 | 31 | 48 | 9 | 48 | 67 | 39 | 31 | 42 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Lakers | | | | | | | | | | | | | | | | | | |\n| Kobe Bryant | 29 | 28 | 4 | 0 | 10-22 | 46% | 4-9 | 44% | 4-5 | 80% | 0 | 1 | 0 | 0 | 4 | 2 | F | Los Angeles |\n| Jordan Clarkson | 35 | 20 | 4 | 1 | 8-16 | 50% | 4-7 | 57% | 0-0 | 0% | 1 | 0 | 0 | 0 | 4 | 3 | G | Los Angeles |\n| Lou Williams | 30 | 14 | 1 | 3 | 4-8 | 50% | 2-3 | 67% | 4-6 | 67% | 2 | 1 | 0 | 1 | 0 | 0 | N/A | Los Angeles |\n| Julius Randle | 34 | 13 | 18 | 10 | 6-10 | 60% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 1 | 0 | 18 | 2 | F | Los Angeles |\n| Brandon Bass | 27 | 10 | 4 | 3 | 2-5 | 40% | 0-0 | 0% | 6-6 | 100% | 0 | 3 | 1 | 2 | 2 | 2 | N/A | Los Angeles |\n| Metta World Peace | 14 | 7 | 3 | 0 | 2-6 | 33% | 0-2 | 0% | 3-3 | 100% | 2 | 0 | 0 | 1 | 2 | 1 | N/A | Los Angeles |\n| Roy Hibbert | 21 | 5 | 5 | 1 | 1-5 | 20% | 0-0 | 0% | 3-4 | 75% | 0 | 0 | 0 | 2 | 3 | 4 | C | Los Angeles |\n| Larry Nance Jr. | 20 | 4 | 3 | 0 | 2-6 | 33% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 1 | 1 | 2 | 3 | N/A | Los Angeles |\n| Marcelo Huertas | 19 | 2 | 0 | 5 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Los Angeles |\n| D'Angelo Russell | 12 | 2 | 1 | 0 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 0 | 0 | 1 | 1 | G | Los Angeles |\n| Robert Sacre | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Nick Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Tarik Black | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Nuggets | | | | | | | | | | | | | | | | | | |\n| D.J. Augustin | 27 | 20 | 3 | 8 | 6-9 | 67% | 5-7 | 71% | 3-6 | 50% | 1 | 1 | 0 | 0 | 3 | 2 | N/A | Denver |\n| Jusuf Nurkic | 26 | 18 | 4 | 5 | 7-11 | 64% | 0-1 | 0% | 4-6 | 67% | 1 | 3 | 2 | 2 | 2 | 3 | N/A | Denver |\n| Will Barton | 28 | 16 | 5 | 4 | 7-12 | 58% | 1-3 | 33% | 1-2 | 50% | 0 | 1 | 0 | 0 | 5 | 2 | N/A | Denver |\n| Gary Harris | 24 | 13 | 3 | 2 | 6-13 | 46% | 1-4 | 25% | 0-1 | 0% | 2 | 1 | 0 | 2 | 1 | 2 | G | Denver |\n| JaKarr Sampson | 22 | 11 | 3 | 1 | 4-9 | 44% | 1-1 | 100% | 2-2 | 100% | 0 | 0 | 2 | 2 | 1 | 2 | F | Denver |\n| Emmanuel Mudiay | 21 | 9 | 3 | 3 | 3-8 | 38% | 0-1 | 0% | 3-4 | 75% | 1 | 1 | 0 | 0 | 3 | 0 | G | Denver |\n| Joffrey Lauvergne | 25 | 9 | 10 | 0 | 4-10 | 40% | 0-2 | 0% | 1-1 | 100% | 0 | 0 | 0 | 4 | 6 | 3 | N/A | Denver |\n| Nikola Jokic | 22 | 8 | 12 | 4 | 4-9 | 44% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 2 | 10 | 3 | C | Denver |\n| Axel Toupane | 23 | 8 | 2 | 1 | 3-5 | 60% | 2-4 | 50% | 0-0 | 0% | 0 | 0 | 1 | 1 | 1 | 4 | N/A | Denver |\n| Darrell Arthur | 23 | 4 | 3 | 3 | 1-8 | 13% | 0-1 | 0% | 2-2 | 100% | 0 | 1 | 2 | 0 | 3 | 1 | F | Denver |\n| Mike Miller | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Kenneth Faried | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Jameer Nelson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |" + } + ] + }, + { + "id": "table_recognition_train_item_100864", + "image": "table_instructV/images/ToTTo_train_table_3640.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| 25 September 2010 6 | Manchester City | 1 – 0 | Chelsea | City of Manchester Stadium, Manchester |\n| --- | --- | --- | --- | --- |\n| 12:45 BST | Zabaleta 35' Tévez 59' Boyata 77' | (Report) | Mikel 65' Ramires 80' Alex 90+2' | Attendance: 47,203 Referee: Andre Marriner |" + } + ] + }, + { + "id": "table_recognition_train_item_113223", + "image": "table_instructV/images/Rotowire_train_table_954.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bulls | Chicago | 109 | 30 | 29 | 23 | 27 | 28 | 40 | 9 | 45 | 65 | 50 | 36 | 33 | | | | |\n| Kings | Sacramento | 102 | 26 | 25 | 30 | 21 | 23 | 50 | 19 | 46 | 81 | 31 | 27 | 43 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Taj Gibson | 33 | 18 | 3 | 2 | 7-13 | 54% | 0-0 | 0% | 4-4 | 100% | 4 | 1 | 1 | 3 | 0 | 2 | F | Chicago |\n| Derrick Rose | 33 | 18 | 5 | 4 | 9-15 | 60% | 0-1 | 0% | 0-2 | 0% | 1 | 1 | 0 | 0 | 5 | 0 | G | Chicago |\n| Doug McDermott | 21 | 16 | 1 | 1 | 6-11 | 55% | 4-7 | 57% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 3 | N/A | Chicago |\n| Pau Gasol | 25 | 14 | 14 | 3 | 4-10 | 40% | 0-0 | 0% | 6-8 | 75% | 1 | 0 | 3 | 3 | 11 | 3 | C | Chicago |\n| Jimmy Butler | 35 | 11 | 3 | 8 | 3-10 | 30% | 0-1 | 0% | 5-7 | 71% | 5 | 0 | 0 | 2 | 1 | 0 | G | Chicago |\n| Justin Holiday | 15 | 9 | 1 | 0 | 3-6 | 50% | 3-4 | 75% | 0-0 | 0% | 0 | 0 | 1 | 0 | 1 | 1 | N/A | Chicago |\n| Mike Dunleavy | 27 | 9 | 1 | 1 | 3-8 | 38% | 3-6 | 50% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 3 | F | Chicago |\n| Bobby Portis | 15 | 6 | 6 | 1 | 3-6 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 2 | 4 | 0 | N/A | Chicago |\n| Nikola Mirotic | 21 | 6 | 3 | 2 | 2-8 | 25% | 2-4 | 50% | 0-0 | 0% | 0 | 3 | 2 | 0 | 3 | 3 | N/A | Chicago |\n| Aaron Brooks | 15 | 2 | 3 | 6 | 1-4 | 25% | 0-1 | 0% | 0-2 | 0% | 1 | 2 | 0 | 1 | 2 | 1 | N/A | Chicago |\n| E'Twaun Moore | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Tony Snell | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Cristiano Felicio | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Kings | | | | | | | | | | | | | | | | | | |\n| DeMarcus Cousins | 35 | 19 | 18 | 3 | 6-14 | 43% | 0-1 | 0% | 7-7 | 100% | 1 | 8 | 2 | 4 | 14 | 3 | C | Sacramento |\n| Darren Collison | 32 | 19 | 4 | 4 | 6-10 | 60% | 4-5 | 80% | 3-3 | 100% | 0 | 1 | 0 | 1 | 3 | 2 | N/A | Sacramento |\n| Rudy Gay | 33 | 18 | 5 | 1 | 7-11 | 64% | 3-4 | 75% | 1-1 | 100% | 0 | 1 | 0 | 1 | 4 | 4 | F | Sacramento |\n| Rajon Rondo | 31 | 14 | 4 | 5 | 7-13 | 54% | 0-1 | 0% | 0-0 | 0% | 0 | 6 | 0 | 2 | 2 | 3 | G | Sacramento |\n| Caron Butler | 21 | 10 | 2 | 1 | 5-11 | 46% | 0-5 | 0% | 0-0 | 0% | 3 | 0 | 0 | 0 | 2 | 1 | N/A | Sacramento |\n| Marco Belinelli | 22 | 9 | 2 | 4 | 4-10 | 40% | 1-5 | 20% | 0-1 | 0% | 1 | 0 | 0 | 1 | 1 | 1 | N/A | Sacramento |\n| Omri Casspi | 22 | 7 | 8 | 3 | 2-6 | 33% | 1-3 | 33% | 2-4 | 50% | 1 | 0 | 0 | 3 | 5 | 1 | N/A | Sacramento |\n| Quincy Acy | 11 | 2 | 1 | 0 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | F | Sacramento |\n| James Anderson | 16 | 2 | 2 | 2 | 1-6 | 17% | 0-4 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 0 | G | Sacramento |\n| Kosta Koufos | 12 | 2 | 3 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 2 | N/A | Sacramento |\n| Willie Cauley-Stein | 5 | 0 | 1 | 0 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 0 | 0 | N/A | Sacramento |\n| Seth Curry | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Ben McLemore | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |" + } + ] + }, + { + "id": "table_recognition_train_item_58848", + "image": "table_instructV/images/TabFact_2-11513998-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| date | opponent | score | loss | attendance | record |\n| --- | --- | --- | --- | --- | --- |\n| july 1 | brewers | 10 - 9 | stark (0 - 3) | 24360 | 28 - 49 |\n| july 2 | tigers | 9 - 8 (10) | walker (1 - 3) | 47585 | 29 - 49 |\n| july 3 | tigers | 11 - 6 | maroth (5 - 6) | 48131 | 30 - 49 |\n| july 4 | tigers | 10 - 8 | knotts (4 - 3) | 26944 | 31 - 49 |\n| july 5 | giants | 7 - 4 | tomko (3 - 5) | 39977 | 32 - 49 |\n| july 6 | giants | 8 - 6 | christiansen (1 - 2) | 35460 | 33 - 49 |\n| july 7 | giants | 8 - 4 | bernero (1 - 1) | 35673 | 33 - 50 |\n| july 8 | padres | 5 - 1 | eaton (4 - 8) | 32403 | 34 - 50 |\n| july 9 | padres | 6 - 5 | hoffman (2 - 1) | 41168 | 35 - 50 |\n| july 10 | padres | 6 - 2 | lawrence (10 - 6) | 37644 | 36 - 50 |\n| july 11 | padres | 4 - 2 | stark (0 - 4) | 41188 | 36 - 51 |\n| july 15 | giants | 7 - 5 | chacón (1 - 6) | 30159 | 36 - 52 |\n| july 16 | giants | 7 - 1 | rueter (5 - 7) | 31583 | 37 - 52 |\n| july 17 | giants | 4 - 0 | cook (4 - 4) | 41450 | 37 - 53 |\n| july 18 | giants | 10 - 9 | herges (4 - 4) | 35032 | 38 - 53 |\n| july 19 | padres | 13 - 6 | stark (0 - 5) | 25530 | 38 - 54 |\n| july 20 | padres | 9 - 7 | jennings (8 - 8) | 26770 | 38 - 55 |\n| july 21 | dodgers | 6 - 5 | ishii (11 - 5) | 34343 | 39 - 55 |\n| july 22 | dodgers | 4 - 2 | harikkala (4 - 2) | 34276 | 39 - 56 |\n| july 23 | diamondbacks | 8 - 2 | fossum (2 - 9) | 26350 | 40 - 56 |\n| july 24 | diamondbacks | 8 - 2 | cormier (0 - 2) | 31409 | 41 - 56 |\n| july 25 | diamondbacks | 3 - 2 | choate (1 - 2) | 29298 | 42 - 56 |\n| july 26 | dodgers | 9 - 7 | simpson (0 - 1) | 24725 | 42 - 57 |\n| july 27 | dodgers | 7 - 2 | pérez (4 - 4) | 27934 | 43 - 57 |\n| july 28 | dodgers | 5 - 4 | mota (8 - 4) | 25492 | 44 - 57 |\n| july 29 | dodgers | 3 - 2 | dohmann (0 - 1) | 28472 | 44 - 58 |\n| july 30 | diamondbacks | 4 - 1 | johnson (10 - 9) | 29436 | 45 - 58 |\n| july 31 | diamondbacks | 8 - 4 | webb (4 - 12) | 32392 | 46 - 58 |" + } + ] + }, + { + "id": "table_recognition_train_item_31870", + "image": "table_instructV/images/TABMWP_12053.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $645 | 21,000 | 1,500 |\n| $815 | 18,500 | 1,800 |\n| $985 | 16,000 | 2,100 |\n| $1,155 | 13,500 | 2,400 |\n| $1,325 | 11,000 | 2,700 |" + } + ] + }, + { + "id": "table_recognition_train_item_53504", + "image": "table_instructV/images/TabFact_2-18156085-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| place | player | country | score | to par |\n| --- | --- | --- | --- | --- |\n| t1 | ian baker - finch | australia | 68 + 66 + 71 = 205 | - 11 |\n| t1 | tom watson | united states | 71 + 68 + 66 = 205 | - 11 |\n| t3 | seve ballesteros | spain | 69 + 68 + 70 = 207 | - 9 |\n| t3 | bernhard langer | west germany | 71 + 68 + 68 = 207 | - 9 |\n| t5 | hugh baiocchi | south africa | 72 + 70 + 70 = 212 | - 4 |\n| t5 | lee trevino | united states | 70 + 67 + 75 = 212 | - 4 |\n| t5 | lanny wadkins | united states | 70 + 69 + 73 = 212 | - 4 |\n| t8 | josé maria cañizares | spain | 70 + 71 + 72 = 213 | - 3 |\n| t8 | fred couples | united states | 70 + 69 + 74 = 213 | - 3 |\n| t8 | nick faldo | england | 69 + 68 + 76 = 213 | - 3 |\n| t8 | hale irwin | united states | 75 + 68 + 70 = 213 | - 3 |\n| t8 | peter jacobsen | united states | 67 + 73 + 73 = 213 | - 3 |\n| t8 | mark mccumber | united states | 74 + 67 + 72 = 213 | - 3 |\n| t8 | gil morgan | united states | 71 + 71 + 71 = 213 | - 3 |\n| t8 | ronan rafferty | northern ireland | 74 + 72 + 67 = 213 | - 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_35518", + "image": "table_instructV/images/TABMWP_36340.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $825 | 18,000 | 6,300 |\n| $975 | 16,700 | 9,700 |\n| $1,125 | 15,400 | 13,100 |\n| $1,275 | 14,100 | 16,500 |\n| $1,425 | 12,800 | 19,900 |" + } + ] + }, + { + "id": "table_recognition_train_item_61100", + "image": "table_instructV/images/TabFact_1-17978052-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| s dam and gnis query link | s lake and gnis query link | s reservoir and gnis query link | borough or census area | comment |\n| --- | --- | --- | --- | --- |\n| 5 | 27 | 0 | aleutians east | lakes in table , reservoirs done |\n| 15 | 134 | 0 | aleutians west (ca) | lakes , reservoirs done |\n| 8 | 58 | 6 | anchorage | lakes and reservoirs in table |\n| 0 | 81 | 0 | bethel (ca) | lakes , reservoirs done |\n| 0 | 0 | 0 | bristol bay | lakes and reservoirs done |\n| 0 | 50 | 0 | denali | lakes in table , reservoirs done |\n| 0 | 55 | 0 | dillingham (ca) | lakes , reservoirs done |\n| 3 | 19 | 1 | fairbanks north star | lakes and reservoirs in table |\n| 3 | 10 | 0 | haines | lakes in table , reservoirs done |\n| 6 | 55 | 3 | hoonah - angoon (ca) | lakes and reservoirs in table |\n| 8 | 31 | 5 | juneau | lakes and reservoirs in table |\n| 10 | 440 | 4 | kenai peninsula | lakes , reservoirs in table |\n| 12 | 57 | 8 | ketchikan gateway | lakes , reservoirs in table |\n| 31 | 82 | 11 | kodiak island | lakes , reservoirs in table |\n| 3 | 83 | 0 | lake and peninsula | lakes , reservoirs done |\n| 5 | 451 | 1 | matanuska - susitna | lakes , reservoirs in table |\n| 1 | 36 | 0 | nome (ca) | lakes in table , reservoirs done |\n| 2 | 142 | 2 | north slope | lakes , reservoirs in table |\n| 1 | 80 | 1 | northwest arctic | lakes , reservoirs in table |\n| 9 | 163 | 4 | p of wales - o ketchikan (ca) | lakes , reservoirs in table |\n| 9 | 90 | 3 | sitka | lakes , reservoirs in table |\n| 3 | 9 | 3 | skagway | lakes and reservoirs in table |\n| 0 | 130 | 0 | southeast fairbanks (ca) | lakes , reservoirs in table |\n| 22 | 293 | 10 | valdez - cordova (ca) | lakes , reservoirs in table |\n| 1 | 21 | 0 | wade hampton (ca) | lakes in table , reservoirs done |\n| 8 | 60 | 5 | wrangell - petersburg (ca) | lakes , reservoirs in table |\n| 0 | 26 | 0 | yakutat | lakes in table , reservoirs done |\n| 2 | 513 | 0 | yukon - koyukuk (ca) | lakes , reservoirs done |" + } + ] + }, + { + "id": "table_recognition_train_item_55692", + "image": "table_instructV/images/TabFact_2-18615911-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| week | partner | dance | music | result |\n| --- | --- | --- | --- | --- |\n| 1 | endre jansen | afro | wanna be startin' somethin' - michael jackson | safe |\n| 2 | endre jansen | lyrical jazz | hangin' by a thread- jann arden | safe |\n| 3 | endre jansen | locking | rock steady- aretha franklin | bottom 3 |\n| 3 | results show solo | results show solo | ring the alarm - beyoncé knowles | bottom 3 |\n| 4 | endre jansen | jive | bye bye-david cerra | safe |\n| 5 | ole petter knarvik | hip - hop | ice box - omarion | injured |" + } + ] + }, + { + "id": "table_recognition_train_item_34215", + "image": "table_instructV/images/TABMWP_37089.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Month | Change in water level (in.) |\n| --- | --- |\n| April | -6 |\n| May | 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_54372", + "image": "table_instructV/images/TabFact_1-16799784-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| name | latitude | longitude | diameter (km) | year named | name origin |\n| --- | --- | --- | --- | --- | --- |\n| akka tholus | 75.1 n | 233.0 e | 19.4 | 2009 | akka , finnish mother goddess |\n| amra tholus | 53.0n | 98.0e | 50.0 | 1997 | abkhazian sun deity |\n| angerona tholus | 29.8s | 287.2e | 200.0 | 1997 | italian goddess of silence |\n| apakura tholus | 40.3n | 208.8e | 10.0 | 2006 | māori (new zealand) goddess of justice |\n| azimua tholi | 34.05s | 249.35e | 40.0 | 2006 | sumerian underworld goddess |\n| bast tholus | 57.8n | 130.3e | 83.0 | 1985 | egyptian goddess of joy |\n| brigit tholus | 49.0n | 246.0e | 0.0 | 1985 | celtic goddess of wisdom , doctoring , smithing |\n| dröl - ma tholus | 24.2n | 6.3e | 40.0 | 2000 | tibetan goddess of compassion |\n| eirene tholus | 75.5 n | 230.0 e | 58.0 | 2009 | eirene , greek goddess of peace |\n| evaki tholus | 37.6n | 342.2e | 200.0 | 1997 | amazonian sleep goddess |\n| gerd tholi | 54.5s | 291.5e | 50.0 | 1997 | scandinavian sky maiden |\n| grechukha tholi | 8.6s | 255.8e | 200.0 | 2000 | ukrainian field deity |\n| iaso tholus | 5.2n | 255.3e | 30.0 | 2003 | greek goddess of health , medicine , and recovery |\n| justitia tholus | 28.7s | 296.5e | 60.0 | 1997 | roman goddess of justice |\n| khotal - ekva tholi | 9.1s | 177.8e | 50.0 | 1997 | mansi (ob river ugra) sun goddess |\n| kwannon tholus | 26.3s | 296.8e | 135.0 | 1997 | japanese buddhist goddess of mercy |\n| lama tholus | 7.8n | 266.0e | 110.0 | 2003 | sumerian protective goddess |\n| mahuea tholus | 37.5s | 164.7e | 110.0 | 1994 | māori fire goddess |\n| meiboia tholus | 44.7s | 281.3e | 85.0 | 1997 | greek bee goddess |\n| monoshi tholus | 37.7s | 252.0e | 15.0 | 2006 | bengal goddess of snakes |\n| muru tholus | 9.0s | 305.5e | 40.0 | 1997 | estonian deity of meadows |\n| narina tholi | 25.8s | 80.0e | 55.0 | 2000 | australian wild bird goddess |\n| nertus tholus | 61.2n | 247.9e | 66.0 | 1985 | german / norse vegetation goddess |\n| nipa tholus | 8.4n | 255.7e | 140.0 | 2003 | algonquin moon goddess |\n| norterma tholus | 77.0s | 188.0e | 15.0 | 2000 | tibetan wealth - giving goddess |\n| otafuku tholi | 28.7n | 46.3e | 80.0 | 1997 | japanese goddess of joyfulness |\n| otohime tholus | 32.0s | 268.2e | 20.0 | 2006 | japanese goddess of the arts and beauty |\n| padma tholi | 34.7s | 68.3e | 100.0 | 2000 | hindu lotus goddess |\n| perynya tholus | 0.7s | 353.2e | 110.0 | 2000 | slavic goddess , wife of thunderstorm god perun |\n| podaga tholus | 56.3s | 2.0e | 40.0 | 1997 | slavic weather goddess |\n| rohina tholus | 40.6s | 295.4e | 30.0 | 1997 | hindu cow goddess |\n| rosna tholi | 25.5s | 73.3e | 130.0 | 2000 | chimalateco / chinanteco (mexico) mountain goddess |\n| semele tholi | 64.3n | 202.9e | 194.0 | 1985 | frygian (phoenician) earth goddess |\n| shamiram tholus | 6.9s | 335.2e | 10.0 | 2000 | armenian goddess of love |\n| sumerla tholi | 13.8s | 252.2e | 90.0 | 2000 | e slavic underworld goddess |\n| toci tholus | 29.5n | 355.1e | 300.0 | 1997 | aztec earthquake goddess |\n| turi tholus | 66.9s | 222.3e | 15.0 | 2000 | polynesian goddess , created islands' relief |\n| tursa tholus | 35.4s | 205.2e | 75.0 | 1997 | italian goddess of terror |\n| vilakh tholus | 6.5s | 176.5e | 15.0 | 1997 | lakian / kazikumukhan (daghestan) fire goddess |\n| wohpe tholus | 41.4n | 288.1e | 40.0 | 2006 | lakota goddess of order , beauty , and happiness |\n| yansa tholus | 76.1 n | 232.2 e | 20.0 | 2009 | brazilian goddess of wind and fire |\n| yurt - ava tholus | 13.8s | 341.5e | 15.0 | 2000 | mordovian (volga finn) home 's mother deity |" + } + ] + }, + { + "id": "table_recognition_train_item_53094", + "image": "table_instructV/images/TabFact_2-12206000-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| date | opponent | score | loss | attendance | record |\n| --- | --- | --- | --- | --- | --- |\n| may 1 | rangers | 7 - 6 | lewis (3 - 2) | 16111 | 11 - 18 |\n| may 2 | angels | 3 - 1 | lackey (1 - 3) | 17799 | 12 - 18 |\n| may 3 | angels | 7 - 1 | shields (1 - 1) | 21007 | 13 - 18 |\n| may 4 | angels | 8 - 2 | ortiz (4 - 3) | 21513 | 14 - 18 |\n| may 6 | rangers | 15 - 5 | lewis (3 - 3) | 20092 | 15 - 18 |\n| may 7 | rangers | 5 - 4 | sturtze (3 - 3) | 18508 | 15 - 19 |\n| may 8 | rangers | 8 - 6 | drese (2 - 2) | 20177 | 16 - 19 |\n| may 9 | angels | 6 - 1 | davis (1 - 1) | 42820 | 16 - 20 |\n| may 10 | angels | 7 - 4 | ortiz (4 - 4) | 43661 | 17 - 20 |\n| may 11 | angels | 4 - 2 | washburn (3 - 4) | 32129 | 18 - 20 |\n| may 13 | devil rays | 7 - 5 | sturtze (3 - 4) | 14007 | 18 - 21 |\n| may 14 | devil rays | 7 - 6 | brazelton (0 - 2) | 29013 | 19 - 21 |\n| may 15 | devil rays | 9 - 5 | davis (1 - 2) | 20417 | 19 - 22 |\n| may 16 | royals | 18 - 1 | george (4 - 3) | 24167 | 20 - 22 |\n| may 17 | royals | 7 - 4 | grimsley (1 - 3) | 25032 | 21 - 22 |\n| may 18 | royals | 4 - 3 | snyder (0 - 1) | 15462 | 22 - 22 |\n| may 19 | white sox | 12 - 2 | wright (0 - 2) | 19628 | 23 - 22 |\n| may 20 | white sox | 4 - 1 | davis (1 - 3) | 12857 | 23 - 23 |\n| may 21 | white sox | 6 - 5 | politte (1 - 3) | 13076 | 23 - 24 |\n| may 22 | yankees | 8 - 3 | pettitte (4 - 5) | 45777 | 24 - 24 |\n| may 23 | yankees | 6 - 2 | mussina (7 - 3) | 34134 | 25 - 24 |\n| may 24 | yankees | 5 - 2 | wells (6 - 2) | 35023 | 26 - 24 |\n| may 25 | yankees | 5 - 3 | weaver (3 - 3) | 40940 | 27 - 24 |\n| may 26 | white sox | 11 - 5 | buehrle (2 - 8) | 19009 | 28 - 24 |\n| may 27 | white sox | 5 - 1 | colã cubicn (5 - 4) | 19365 | 29 - 24 |\n| may 28 | white sox | 8 - 0 | escobar (2 - 2) | 36806 | 29 - 25 |\n| may 29 | white sox | 3 - 2 | lidle (8 - 3) | 20010 | 29 - 26 |\n| may 30 | red sox | 13 - 2 | burkett (3 - 3) | 21381 | 30 - 26 |\n| may 31 | red sox | 10 - 7 | fossum (4 - 4) | 28809 | 31 - 26 |" + } + ] + }, + { + "id": "table_recognition_train_item_55578", + "image": "table_instructV/images/TabFact_2-10713126-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| outcome | date | tournament | surface | partner | opponent | score |\n| --- | --- | --- | --- | --- | --- | --- |\n| runner - up | 23 january 2006 | santiago | clay | felipe parada | máximo gonzález sergio roitman | 4 - 6 , 3 - 6 |\n| runner - up | 2 april 2007 | san luis potosí | clay | pablo gonzalez | jérémy chardy marcelo melo | 0 - 6 , 3 - 6 |\n| runner - up | 4 october 2010 | buenos aires | clay | federico delbonis | carlos berlocq brian dabul | 3 - 6 , 2 - 6 |\n| runner - up | 30 may 2011 | furth | clay | julio césar campozano | rameez junaid frank moser | 2 - 6 , 7 - 6 (2) , 7 - 10 |\n| winner | 1 august 2011 | trani | clay | andres molteni | giulio di meo stefano ianni | 6 - 4 , 6 - 4 |\n| winner | 15 april 2013 | panama city | clay | sergio galdós | alejandro gonzález julio césar campozano | 6 - 4 , 6 - 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_107546", + "image": "table_instructV/images/ToTTo_train_table_31657.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | 14–5 | Alexandre Pantoja | Decision (unanimous) | UFC Fight Night: Maia vs. Usman | May 19, 2018 | 3 | 5:00 | Santiago, Chile | |\n| Loss | 14–4 | Sergio Pettis | Decision (unanimous) | UFC Fight Night: Pettis vs. Moreno | August 5, 2017 | 5 | 5:00 | Mexico City, Mexico | |\n| Win | 14–3 | Dustin Ortiz | Technical Submission (rear-naked choke) | UFC Fight Night: Swanson vs. Lobov | April 22, 2017 | 2 | 4:06 | Nashville, Tennessee, United States | Performance of the Night. |\n| Win | 13–3 | Ryan Benoit | Decision (split) | The Ultimate Fighter: Tournament of Champions Finale | December 3, 2016 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 12–3 | Louis Smolka | Submission (guillotine choke) | UFC Fight Night: Lineker vs. Dodson | October 1, 2016 | 1 | 2:23 | Portland, Oregon, United States | Performance of the Night. |\n| Win | 11–3 | Isaac Camarillo | Submission (rear-naked choke) | World Fighting Federation 27 | April 16, 2016 | 1 | 1:53 | Tucson, Arizona, United States | Defended the WFF Flyweight Championship. |\n| Win | 10–3 | Tyler Bialeck | Submission (rear-naked choke) | World Fighting Federation 22 | July 25, 2015 | 1 | 3:09 | Tucson, Arizona, United States | Defended the WFF Flyweight Championship. |\n| Win | 9–3 | Matt Betzold | Decision (unanimous) | World Fighting Federation 18 | February 7, 2015 | 3 | 5:00 | Chandler, Arizona, United States | Defended the WFF Flyweight Championship. |\n| Win | 8–3 | C.J. Soliven | Submission (rear-naked choke) | World Fighting Federation 16 | September 20, 2014 | 1 | 0:58 | Chandler, Arizona, United States | Flyweight debut. Won the vacant WFF Flyweight Championship. |\n| Win | 7–3 | Alex Contreras | Submission (triangle choke) | World Fighting Federation 14 | June 28, 2014 | 3 | 1:04 | Chandler, Arizona, United States | |\n| Win | 6–3 | Paul Amaro | Submission (rear-naked choke) | MEZ Sports: Pandemonium 9 | July 26, 2013 | 2 | 3:01 | Mission Viejo, California, United States | |\n| Win | 5–3 | Jason Carbajal | TKO (punches) | MEZ Sports: Pandemonium 8 | March 23, 2013 | 3 | 1:52 | Pomona, California, United States | |\n| Win | 4–3 | Jesse Cruz | Decision (split) | Xplode Fight Series: Anarchy | September 22, 2012 | 3 | 3:00 | Valley Center, California, United States | |\n| Loss | 3–3 | Brenson Hansen | Decision (unanimous) | CITC 11: Xtreme Couture vs. Southern California | July 28, 2012 | 3 | 5:00 | Biloxi, Mississippi, United States | |\n| Win | 3–2 | Jonathan Carter | Submission (armbar) | Xplode Fight Series: Hunted | May 19, 2012 | 1 | 1:15 | Valley Center, California, United States | |\n| Loss | 2–2 | Ron Scolesdang | Decision (unanimous) | MEZ Sports: Pandemonium 6 | March 3, 2012 | 3 | 5:00 | Riverside, California, United States | |\n| Win | 2–1 | Luis Garcia | Submission (armbar) | UWC Mexico: New Blood 1 | January 29, 2012 | 1 | 2:21 | Tijuana, Mexico | |\n| Loss | 1–1 | Marco Beristain | Decision (unanimous) | UWC Mexico 10: To The Edge | June 25, 2011 | 3 | 5:00 | Tijuana, Mexico | |\n| Win | 1–0 | Atiq Jihad | Submission (armbar) | UWC Mexico 9.5: Iguana | April 30, 2011 | 1 | 2:30 | Tijuana, Mexico | |" + } + ] + }, + { + "id": "table_recognition_train_item_34047", + "image": "table_instructV/images/TABMWP_35465.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $915 | 17,300 | 7,600 |\n| $1,045 | 13,300 | 9,400 |\n| $1,175 | 9,300 | 11,200 |\n| $1,305 | 5,300 | 13,000 |\n| $1,435 | 1,300 | 14,800 |" + } + ] + }, + { + "id": "table_recognition_train_item_32428", + "image": "table_instructV/images/TABMWP_17861.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $10 | 20,200 | 1,900 |\n| $30 | 16,200 | 5,000 |\n| $50 | 12,200 | 8,100 |\n| $70 | 8,200 | 11,200 |\n| $90 | 4,200 | 14,300 |" + } + ] + }, + { + "id": "table_recognition_train_item_117099", + "image": "table_instructV/images/Rotowire_train_table_2892.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hawks | Atlanta | 104 | 22 | 25 | 30 | 27 | 28 | 41 | 11 | 46 | 81 | 37 | 45 | 12 | | | | |\n| Mavericks | Dallas | 87 | 34 | 19 | 15 | 19 | 20 | 44 | 15 | 43 | 78 | 16 | 39 | 21 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hawks | | | | | | | | | | | | | | | | | | |\n| Dennis Schroder | 21 | 17 | 0 | 4 | 7-15 | 47% | 3-5 | 60% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 3 | N/A | Atlanta |\n| Kyle Korver | 34 | 16 | 6 | 3 | 6-12 | 50% | 4-10 | 40% | 0-0 | 0% | 0 | 0 | 2 | 1 | 5 | 0 | G | Atlanta |\n| Paul Millsap | 33 | 15 | 8 | 2 | 7-12 | 58% | 1-2 | 50% | 0-0 | 0% | 1 | 4 | 0 | 3 | 5 | 3 | F | Atlanta |\n| DeMarre Carroll | 27 | 13 | 4 | 3 | 5-9 | 56% | 2-5 | 40% | 1-2 | 50% | 0 | 1 | 0 | 2 | 2 | 0 | F | Atlanta |\n| Al Horford | 27 | 11 | 8 | 6 | 4-10 | 40% | 0-0 | 0% | 3-4 | 75% | 2 | 1 | 0 | 2 | 6 | 2 | C | Atlanta |\n| Jeff Teague | 26 | 11 | 3 | 4 | 3-9 | 33% | 1-3 | 33% | 4-4 | 100% | 1 | 2 | 0 | 0 | 3 | 2 | G | Atlanta |\n| Shelvin Mack | 7 | 7 | 2 | 0 | 3-5 | 60% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Atlanta |\n| Kent Bazemore | 23 | 7 | 4 | 2 | 2-5 | 40% | 0-2 | 0% | 3-4 | 75% | 3 | 1 | 0 | 0 | 4 | 1 | N/A | Atlanta |\n| Mike Scott | 17 | 5 | 2 | 3 | 2-4 | 50% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Atlanta |\n| John Jenkins | 4 | 2 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Atlanta |\n| Mike Muscala | 3 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | Atlanta |\n| Pero Antic | 17 | 0 | 2 | 1 | 0-3 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 4 | N/A | Atlanta |\n| Elton Brand | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Mavericks | | | | | | | | | | | | | | | | | | |\n| Monta Ellis | 30 | 19 | 2 | 2 | 9-14 | 64% | 1-5 | 20% | 0-0 | 0% | 0 | 2 | 0 | 1 | 1 | 3 | G | Dallas |\n| J.J. Barea | 30 | 13 | 5 | 7 | 6-10 | 60% | 1-3 | 33% | 0-0 | 0% | 0 | 3 | 0 | 1 | 4 | 2 | G | Dallas |\n| Richard Jefferson | 31 | 10 | 4 | 1 | 3-10 | 30% | 1-4 | 25% | 3-5 | 60% | 0 | 1 | 0 | 0 | 4 | 2 | F | Dallas |\n| Devin Harris | 20 | 10 | 3 | 2 | 2-7 | 29% | 0-3 | 0% | 6-6 | 100% | 0 | 1 | 0 | 0 | 3 | 1 | N/A | Dallas |\n| Charlie Villanueva | 22 | 8 | 0 | 0 | 3-7 | 43% | 2-6 | 33% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 3 | N/A | Dallas |\n| Bernard James | 27 | 7 | 11 | 3 | 2-3 | 67% | 0-0 | 0% | 3-4 | 75% | 0 | 1 | 2 | 7 | 4 | 1 | C | Dallas |\n| Dwight Powell | 9 | 6 | 6 | 0 | 3-7 | 43% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 3 | 3 | 2 | N/A | Dallas |\n| Dirk Nowitzki | 25 | 4 | 5 | 4 | 2-7 | 29% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 5 | 2 | F | Dallas |\n| Greg Smith | 9 | 4 | 3 | 0 | 2-3 | 67% | 0-0 | 0% | 0-1 | 0% | 0 | 0 | 0 | 1 | 2 | 0 | N/A | Dallas |\n| Raymond Felton | 9 | 4 | 0 | 1 | 1-5 | 20% | 0-2 | 0% | 2-2 | 100% | 0 | 0 | 1 | 0 | 0 | 1 | N/A | Dallas |\n| Al-Farouq Aminu | 27 | 2 | 5 | 0 | 1-7 | 14% | 0-4 | 0% | 0-0 | 0% | 0 | 4 | 0 | 0 | 5 | 1 | N/A | Dallas |\n| Tyson Chandler | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| Amar'e Stoudemire | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |" + } + ] + }, + { + "id": "table_recognition_train_item_63406", + "image": "table_instructV/images/TabFact_2-15749311-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| res | record | opponent | method | event | round | time | location |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| loss | 21 - 8 - 1 (2) | gleison tibau | decision (split) | ufc 164 | 3 | 5:00 | milwaukee , wisconsin , united states |\n| win | 21 - 7 - 1 (2) | melvin guillard | decision (split) | ufc 155 | 3 | 5:00 | las vegas , nevada , united states |\n| loss | 20 - 7 - 1 (2) | joe lauzon | submission (triangle choke) | ufc on fox : shogun vs vera | 3 | 2:44 | los angeles , california , united states |\n| win | 20 - 6 - 1 (2) | edson barboza | tko (punches) | ufc 146 | 1 | 3:23 | las vegas , nevada , united states |\n| win | 19 - 6 - 1 (2) | drew fickett | submission (punches) | xfc 16 | 1 | 0:40 | knoxville , tennessee , united states |\n| win | 18 - 6 - 1 (2) | nate jolly | ko (punches) | xfc 14 | 1 | 1:09 | orlando , florida , united states |\n| loss | 17 - 6 - 1 (2) | dakota cochrane | decision (unanimous) | titan fighting championships 20 | 3 | 5:00 | kansas city , kansas , united states |\n| win | 17 - 5 - 1 (2) | tyler combs | submission (north - south choke) | xfo 39 | 1 | 1:30 | hoffman estates , illinois , united states |\n| loss | 16 - 5 - 1 (2) | shane roller | submission (rear naked choke) | wec 53 | 1 | 3:55 | glendale , arizona , united states |\n| loss | 16 - 4 - 1 (2) | donald cerrone | decision (unanimous) | wec 51 | 3 | 5:00 | broomfield , colorado , united states |\n| draw | 16 - 3 - 1 (2) | kamal shalorus | draw (split) | wec 49 | 3 | 5:00 | edmonton , alberta , canada |\n| loss | 16 - 3 (2) | benson henderson | submission (guillotine choke) | wec 46 | 3 | 2:41 | sacramento , california , united states |\n| win | 16 - 2 (2) | donald cerrone | technical decision (split) | wec 38 | 5 | 3:10 | san diego , california , united states |\n| win | 15 - 2 (2) | marcus hicks | tko (punches) | wec 35 | 1 | 2:08 | las vegas , nevada , united states |\n| win | 14 - 2 (2) | rob mccullough | tko (punches) | wec 32 | 3 | 2:54 | albuquerque , new mexico , united states |\n| win | 13 - 2 (2) | sherron leggett | tko (punches & elbows) | wec 29 | 1 | 4:08 | las vegas , nevada , united states |\n| win | 12 - 2 (2) | jason gilliam | technical submission (rear naked choke) | ufc 68 | 1 | 1:34 | columbus , ohio , united states |\n| loss | 11 - 2 (2) | hermes franã§a | submission (armbar) | ufc 62 | 3 | 3:31 | las vegas , nevada , united states |\n| win | 11 - 1 (2) | leonard wilson | submission (rear naked choke) | rage in the cage 78 | 2 | 1:07 | glendale , arizona , united states |\n| nc | 10 - 1 (2) | tony llamas | no contest | kotc : arizona | n / a | n / a | globe , arizona , united states |\n| win | 10 - 1 (1) | paul arroyo | submission (punches) | rage in the cage 71 | 1 | 2:03 | tempe , arizona , united states |\n| win | 9 - 1 (1) | adam roland | tko (punches) | rage in the cage 70 | 1 | 2:46 | glendale , arizona , united states |\n| win | 8 - 1 (1) | jesse bongfeldt | tko (punches) | wff 7: professional shooto | 1 | 4:12 | vancouver , british columbia , canada |\n| win | 7 - 1 (1) | kyle bradley | submission (rear naked choke) | fight factory | 2 | 2:34 | n / a |\n| win | 6 - 1 (1) | kyle sprouse | submission (choke) | ritc 63: it 's time | 1 | 1:47 | phoenix , arizona , united states |\n| win | 5 - 1 (1) | garett davis | submission (triangle choke) | world freestyle fighting 6 | 1 | 3:52 | vancouver , british columbia , canada |\n| nc | 4 - 1 (1) | james upshur | no contest | ritc 61: relentless | 2 | n / a | phoenix , arizona , united states |\n| win | 4 - 1 | jarvis brennaman | submission (triangle choke) | ecs : evolution | 1 | 1:22 | phoenix , arizona , united states |\n| win | 3 - 1 | dave klein | submission (choke) | ritc 50: the prelude | 3 | 1:56 | tucson , arizona , united states |\n| win | 2 - 1 | justin nauling | submission (armbar) | ritc 49: stare down | 2 | 0:38 | phoenix , arizona , united states |\n| loss | 1 - 1 | jesse moreng | decision (unanimous) | ritc 47: unstoppable | 3 | 3:00 | phoenix , arizona , united states |\n| win | 1 - 0 | carlos ortega | decision (unanimous) | ritc 46: launching pad | 3 | 3:00 | tempe , arizona , united states |" + } + ] + }, + { + "id": "table_recognition_train_item_113175", + "image": "table_instructV/images/Rotowire_train_table_930.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Jazz | Utah | 102 | 18 | 25 | 27 | 32 | 23 | 45 | 10 | 49 | 67 | 39 | 20 | 25 | | | | |\n| Hornets | Charlotte | 73 | 18 | 13 | 20 | 22 | 10 | 35 | 18 | 37 | 81 | 24 | 22 | 24 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Jazz | | | | | | | | | | | | | | | | | | |\n| Rodney Hood | 31 | 24 | 4 | 4 | 8-16 | 50% | 4-9 | 44% | 4-4 | 100% | 1 | 1 | 0 | 0 | 4 | 1 | G | Utah |\n| Gordon Hayward | 32 | 22 | 7 | 5 | 9-14 | 64% | 3-4 | 75% | 1-1 | 100% | 2 | 2 | 0 | 1 | 6 | 2 | F | Utah |\n| Derrick Favors | 21 | 12 | 3 | 2 | 6-9 | 67% | 0-0 | 0% | 0-2 | 0% | 1 | 0 | 0 | 1 | 2 | 1 | N/A | Utah |\n| Trey Burke | 19 | 11 | 1 | 1 | 4-10 | 40% | 3-7 | 43% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 3 | N/A | Utah |\n| Chris Johnson | 19 | 10 | 5 | 3 | 3-6 | 50% | 1-3 | 33% | 3-4 | 75% | 3 | 1 | 0 | 1 | 4 | 1 | N/A | Utah |\n| Trevor Booker | 20 | 8 | 5 | 2 | 4-5 | 80% | 0-0 | 0% | 0-0 | 0% | 2 | 0 | 3 | 2 | 3 | 0 | N/A | Utah |\n| Rudy Gobert | 30 | 6 | 12 | 1 | 2-5 | 40% | 0-0 | 0% | 2-4 | 50% | 0 | 3 | 3 | 1 | 11 | 3 | C | Utah |\n| Erick Green | 4 | 4 | 0 | 1 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Utah |\n| Joe Ingles | 19 | 3 | 4 | 2 | 1-2 | 50% | 1-2 | 50% | 0-0 | 0% | 1 | 0 | 0 | 1 | 3 | 0 | N/A | Utah |\n| Jeff Withey | 4 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Utah |\n| Tibor Pleiss | 3 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Utah |\n| Trey Lyles | 19 | 0 | 3 | 0 | 0-4 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 2 | F | Utah |\n| Raul Neto | 20 | 0 | 1 | 2 | 0-7 | 0% | 0-4 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 3 | G | Utah |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Kemba Walker | 30 | 15 | 5 | 1 | 7-11 | 64% | 1-3 | 33% | 0-1 | 0% | 1 | 4 | 0 | 2 | 3 | 0 | G | Charlotte |\n| Brian Roberts | 12 | 13 | 1 | 1 | 3-4 | 75% | 2-2 | 100% | 5-5 | 100% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Charlotte |\n| Marvin Williams | 23 | 9 | 5 | 1 | 3-10 | 30% | 0-3 | 0% | 3-3 | 100% | 1 | 1 | 0 | 1 | 4 | 1 | F | Charlotte |\n| Spencer Hawes | 26 | 9 | 4 | 2 | 3-7 | 43% | 2-3 | 67% | 1-2 | 50% | 0 | 1 | 0 | 1 | 3 | 2 | C | Charlotte |\n| Frank Kaminsky | 25 | 8 | 1 | 1 | 2-6 | 33% | 0-3 | 0% | 4-4 | 100% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Charlotte |\n| Nicolas Batum | 30 | 6 | 10 | 2 | 2-9 | 22% | 1-5 | 20% | 1-2 | 50% | 0 | 2 | 0 | 0 | 10 | 2 | G | Charlotte |\n| Troy Daniels | 22 | 5 | 1 | 0 | 2-7 | 29% | 0-2 | 0% | 1-2 | 50% | 0 | 5 | 0 | 0 | 1 | 3 | N/A | Charlotte |\n| PJ Hairston | 28 | 4 | 3 | 0 | 1-5 | 20% | 0-2 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 3 | 2 | F | Charlotte |\n| Jeremy Lin | 17 | 4 | 2 | 1 | 2-8 | 25% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 1 | N/A | Charlotte |\n| Tyler Hansbrough | 22 | 0 | 3 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 2 | 0 | 0 | 1 | 2 | 2 | N/A | Charlotte |\n| Aaron Harrison | 5 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 0 | 1 | N/A | Charlotte |\n| Jeremy Lamb | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Cody Zeller | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |" + } + ] + }, + { + "id": "table_recognition_train_item_57624", + "image": "table_instructV/images/TabFact_1-13564637-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| club | played | won | drawn | lost | points for | points against | tries for | tries against | try bonus | losing bonus | points |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| club | played | won | drawn | lost | points for | points against | tries for | tries against | try bonus | losing bonus | points |\n| tylorstown rfc | 22 | 18 | 0 | 4 | 598 | 321 | 76 | 35 | 10 | 2 | 84 |\n| penarth rfc | 22 | 17 | 2 | 3 | 573 | 222 | 77 | 25 | 9 | 3 | 84 |\n| st peters rfc | 22 | 16 | 1 | 5 | 497 | 210 | 72 | 19 | 9 | 3 | 78 |\n| aberdare rfc | 22 | 13 | 2 | 7 | 518 | 391 | 73 | 49 | 9 | 4 | 69 |\n| heol y cyw rfc | 22 | 12 | 2 | 8 | 430 | 329 | 49 | 41 | 2 | 4 | 58 |\n| pentyrch rfc | 22 | 12 | 0 | 10 | 416 | 404 | 55 | 56 | 5 | 4 | 57 |\n| llanishen rfc | 22 | 11 | 1 | 10 | 322 | 326 | 32 | 41 | 2 | 6 | 54 |\n| brecon rfc | 22 | 8 | 1 | 13 | 367 | 372 | 44 | 46 | 5 | 6 | 45 |\n| llandaff north rfc | 22 | 7 | 0 | 15 | 325 | 567 | 35 | 77 | 3 | 3 | 34 |\n| fairwater rfc | 22 | 6 | 1 | 15 | 253 | 396 | 32 | 50 | 2 | 5 | 33 |\n| treherbert rfc | 22 | 5 | 0 | 17 | 290 | 672 | 37 | 86 | 3 | 5 | 28 |\n| llandaff rfc | 22 | 2 | 0 | 20 | 229 | 608 | 31 | 88 | 1 | 5 | 14 |" + } + ] + }, + { + "id": "table_recognition_train_item_102375", + "image": "table_instructV/images/ToTTo_train_table_9938.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Title | Director | Producer | Music | Cast |\n| --- | --- | --- | --- | --- |\n| Aayiram Kannudayaal | K. Shankar | Sasivarnam Films | Sankar Ganesh | Padmini, Jeevitha, Prabha, Baby Shalini, Rajeev, Senthil |\n| Aayiram Pookkal Malarattum | E. Ramadoss | Motherland Pictures | V. S. Narasimhan | Mohan, Seetha, Ranjini, Goundamani, Senthil, Janagaraj |\n| Adutha Veedu | Rama Narayanan | Visakam Art Productions | Sankar Ganesh | S. Ve. Shekher, Chandrasekhar, Ilavarasi, Madhuri |\n| Africavil Appu | Vijay Anand | Sri Rajeswari Creations | Ilaiyaraaja | Nalini, Suresh |\n| Amman Kovil Kizhakale | R. Sundarrajan | V. N. S. Productions | Ilaiyaraaja | Vijayakanth, Radha, Ravichandran, Srividya, Senthil |\n| Anandha Kanneer | K. Vijayan | Sivaji Productions | Sankar Ganesh | Sivaji Ganesan, Lakshmi, Visu, Rajeev, Nizhalgal Ravi, Jayashree, Rajyalakshmi, Janagaraj |\n| Annai En Dheivam | R. Krishnamoorthy | Mandhralaya Arts | Sankar Ganesh | Vijayakanth, Jaishankar, K. R. Vijaya, Madhuri, Manorama, Y. G. Mahendra, Vadivukkarasi |\n| Aruvadai Naal | G. M. Kumar | Sivaji Productions | Ilaiyaraaja | Prabhu, Pallavi, Ramkumar, Vadivukkarasi, Raasi |\n| Avalai Solli Kuttramillai | A. A. Soman | Velan Creations | Gangai Amaran | Sarath Babu, Ranjini, Pavithra |\n| Bathil Solval Bhadrakali | S. Jagadeesan | Oaam Selvi Arts | K. V. Mahadevan | Jaishankar, K. R. Vijaya, Ilavarasi, Jeevitha, Viji, Rajeev, Senthil |\n| Choru | Rama Narayanan | Sri Thenandal Films | Sankar Ganesh | S. Ve. Shekher, Chandrasekhar, Jeevitha, Vanithasri |\n| Cinema Cinema | T. P. Gajendran | Leo International | M. S. Viswanathan | S. Ve. Shekher, Kalaiselvi |\n| December Pookal | R. Boopathy | N. R. K. Cine Arts | Ilaiyaraaja | Mohan, Revathi, Nalini, Nizhalgal Ravi, Goundamani, Senthil |\n| Dharma Devathai | S. P. Muthuraman | AVM Productions | Raveendran | Vijayakanth, Raadhika, Pallavi |\n| Dharma Pathini | Ameerjan | Sri Shanmugalaya Arts | Ilaiyaraaja | Karthik, Jeevitha, Chandrasekhar, Goundamani, Senthil |\n| Dharmam | R. Thyagarajan | Devar films | Usha Khanna | Sathyaraj, Jaishankar, Saritha, Sudha Chandran |\n| En Sabatham | S. A. Chandrasekhar | G. R. P. Arts | Gangai Amaran | Arjun, Anitha |\n| Enakku Nane Needipathi | S. A. Chandrasekhar | Kay Cee Film Combines | Ilaiyaraaja | Vijayakanth, Jeevitha, Jaishankar, Lakshmi |\n| Endravathu Oru Naal | Balu Anand | Gopi Visalakshi Films | Sankar Ganesh | Naresh Kumar, Madhuri |\n| Engal Thaikulame Varuge | V. N. Sambantham | P. A. S. Production | Chandrabose | Suresh, Jeevitha, Goundamani, Silk Smitha, Thengai Srinivasan, Manorama, Y. G. Mahendra |\n| Iravu Pookkal | Sridhar Rajan | Sri Sivahari Films | Ilaiyaraaja | Sathyaraj, Nalini, Raveendran, Jeevitha, Y. G. Mahendra |\n| Isai Paadum Thendral | S. Devarajan | N. C. Creations | Ilaiyaraaja | Sivakumar, Ambika, Rekha, Goundamani, Janagaraj |\n| Jeevanathi | Sanjay-Bhaskar | Our National Creations | M. S. Viswanathan | Sivakumar, Ilavarasi, Goundamani, Anuradha |\n| Jigu Jigu Rayil | Manivannan | Gangai Pictures | Sankar Ganesh | S. Ve. Shekher, Sulakshana |\n| Jothi Malar | Rama Narayanan | Bhairavi Creation | Sankar Ganesh | Suresh, Nalini, K. R. Vijaya |\n| Kadaikan Paarvai | Raaj Sridhar | Sri Hemamalini Productions | V. S. Narasimhan | Pandiyan, Sathyaraj, Ilavarasi |\n| Kadalora Kavithaigal | P. Bharathiraja | Mookambika Art Creations | Ilaiyaraaja | Sathyaraj, Rekha, Raja, Ranjini, Janagaraj |\n| Kagidha Odam | Rama Narayanan | Poompuhar Production | Sankar Ganesh | Ilavarasan, Nalini |\n| Kaithiyin Theerpu | Vijaya Bharathy | Sunshine Creations | R. Ramanujam | Vijaya Bharathy, Jaishankar, Urvashi, Anuradha |\n| Kalamellam Un Madiyil | Rajasekhar | Prem Priya Productions | Chandrabose | Murali, Jayashree, Ganga, Janagaraj |\n| Kanmaniye Pesu | Rajasekhar | Aries Cine Arts | Raveendran | Sivakumar, Lakshmi, Ambika |\n| Kanna Thorakkanum Saami | R. Govindaraj | Punitha Cine Arts | Ilaiyaraaja Gangai Amaran | Sivakumar, Jeevitha, Cho, Manorama |\n| Kanne Kaniyamuthe | Sakthi-Kannan | Saj Productions | M. S. Viswanathan | Rehman, Amala, Jaishankar, Sujatha, Senthil |\n| Kannukku Mai Ezhuthu | J. Mahendran | Blue Moon Movies | Ilaiyaraaja | P. Bhanumathi, Sujatha, Sarath Babu, Vadivukkarasi |\n| Karimedu Karuvayan | Rama Narayanan | Meenakshi Arts | Ilaiyaraaja | Vijayakanth, Nalini, Sathyaraj, Pandiyan, Aruna, Goundamani, Senthil |\n| Kodai Mazhai | Muktha S. Sundar | Muktha Films | Ilaiyaraaja | Vidya Venugopal, Jaishankar, Lakshmi, Sripriya, Prasad, S. Ve. Shekher |\n| Kovil Yaanai | Kandasami-Singaram | Sri Viji Movies | Chandrabose | Pandiyan, Jayashree, Radha Ravi, S. S. Chandran, Senthil, Kovai Sarala, Kuyili, Anuradha |\n| Kulirkaala Megangal | C. V. Sridhar | Vasan Brothers | Sankar Ganesh | Arjun, Jaishankar, Sadhana, Thengai Srinivasan, Manorama, Vanitha |\n| Kungamapottu | R. Ranjith Kumar | Sri Padma Balaji Films | Sankar Ganesh | R. Ranjith Kumar, Saritha |\n| Lakshmi Vandhachu | Rajasekhar | Aries Cine Arts | Raveendran | Sivaji Ganesan, Padmini, Revathi, Nizhalgal Ravi, S. Ve. Shekher, Jayachitra, Baby Meena |\n| Maaveeran | Rajasekhar | Padmalaya Pictures | Ilaiyaraaja | Rajinikanth, Ambika, Jaishankar, Sujatha, Dara Singh, Nagesh, Vijayakumar, Sunitha |\n| Machakaaran | Raj Bharath | Navasakthi Pictures | Sankar Ganesh | Thiagarajan, Raadhika, Urvashi, K. R. Vijaya |\n| Mahasakthi Mariamman | K. S. Gopalakrishnan | Karpaga Lakshmi Pictures | K. V. Mahadevan | K. R. Vijaya, Sujatha, Rajesh, Ilavarasi, Chandrasekhar, Anuradha, Jayachitra, Sumithra |\n| Malarum Ninaivugal | Krishnan–Panju | Meenakshi Films | V. Kumar | |\n| Mamiyargal Jakkirathai | Rama Narayanan | Kamal Chithiram | Chandrabose | Raveendran, Nalini, Sadhana |\n| Manakanakku | R. C. Sakthi | Vinod Art Pictures | M. S. Viswanathan | Vijayakanth, Radha, Ambika, Sarath Babu, Rajesh |\n| Mandhira Punnagai | V. Thamizhalagan | Sathya Movies | Ilaiyaraaja | Sathyaraj, Nadhiya, Raghuvaran, Baby Sujitha, Jai Jagadish, Senthil |\n| Manithanin Marupakkam | K. Rangaraj | Sathya Jyothi Films | Ilaiyaraaja | Sivakumar, Radha, Jayashree, Jai Jagadish, Rajyalakshmi |\n| Mannukkul Vairam | Manoj Kumar | Motherland Pictures | Devendran | Sivaji Ganesan, Sujatha, Rajesh, Murali, Pandiyan, Ranjini, Vani Viswanath, Goundamani, Senthil, Kovai Sarala |\n| Maragatha Veenai | Gokula Krishnan | Naveena Productions | Ilaiyaraaja | Suresh, Revathi, Goundamani, Chandrasekhar, Senthil, Manorama, Baby Sonia |\n| Marakka Maatten | Ramarajan | Veeralakshmi Combines | Gangai Amaran | Nizhalgal Ravi, Viji, Janagaraj, S. S. Chandran, Senthil, Kovai Sarala |\n| Marumagal | Karthick Raghunath | Sujatha Cine Arts | Chandrabose | Sivaji Ganesan, Jaishankar, Suresh, Revathi, Pavithra, Y. G. Mahendra, Manorama |\n| Maruthi | K. V. Thyagarajan | Vijayakala Pictures | Sankar Ganesh | Chandrasekhar, S. Ve. Shekher, Jeevitha, Madhuri, S. S. Chandran, Senthil |\n| Meendum Pallavi | A. P. Jegadeesh | Ibrahim Cine Enterprises | M. S. Viswanathan | Jaishankar, Sujatha, Raghuvaran, Rajyalakshmi, Anuradha, Goundamani |\n| Mel Maruvathoor Arpudhangal | S. Jagadeesan | Oaam Selvi Arts | K. V. Mahadevan | K. R. Vijaya, Rajesh, Radha Ravi, Nalini, Sulakshana, Thengai Srinivasan |\n| Mella Thirandhathu Kadhavu | R. Sundarrajan | AVM Productions | M. S. Viswanathan Ilaiyaraaja | Mohan, Radha, Amala, Visu, Senthil |\n| Mouna Ragam | Mani Ratnam | Sujatha Productions | Ilaiyaraaja | Mohan, Revathi, Karthik |\n| Mounam Kalaikirathu | Karikalan | H. M. C. Productions | Sankar Ganesh | Suresh, Anand Babu, Jeevitha, Jayashree, Vijayakumar, S. S. Chandran, Senthil |\n| Mr. Bharath | S. P. Muthuraman | AVM Productions | Ilaiyaraaja | Rajinikanth, Ambika, Sathyaraj, Sharada, Goundamani, S. Ve. Shekher, Viji, Visu |\n| Murattu Karangal | Rajasekhar | Hemnag Films | Ilaiyaraaja | Thiagarajan, Sulakshana, Sathyaraj, Jaishankar, Deepa |\n| Muthal Vasantham | Manivannan | Everest Films | Ilaiyaraaja | Pandiyan, Chandrasekhar, Sathyaraj, Ramya Krishnan, Mahalakshmi |\n| Mythili Ennai Kaathali | T. Rajendar | Thanjai Cine Arts | T. Rajendar | T. Rajendar, Srividya, Amala, S. S. Chandran |\n| Naan Adimai Illai | Dwarakish | Dwarakish Chithra | Vijay Anand | Rajinikanth, Sridevi, Girish Karnad, V. K. Ramasamy, Thengai Srinivasan, Manorama, Y. G. Mahendra, Vanitha |\n| Naalellam Pournami | Utthaman | Vikranth Creations | Gangai Amaran | Prabhu, Ranjini, Manimaran |\n| Naanum Oru Thozhilali | C. V. Sridhar | Chitralaya Films | Ilaiyaraaja | Kamal Haasan, Ambika, Jaishankar |\n| Nambinar Keduvathillai | K. Shankar | Siva Shankar Motion Pictures | M. S. Viswanathan | Vijayakanth, Prabhu, Jayashree, Sudha Chandran, Senthil, Manorama |\n| Namma Ooru Nalla Ooru | V. Azhagappan | Sri Devi Bagavathi Films | Gangai Amaran | Ramarajan, Rekha, Rajeev, Sulakshana, S. S. Chandran, Senthil |\n| Natpu | Ameerjan | Veeralakshmi Combines | Ilaiyaraaja | Karthik, Radha Ravi, Sripriya, Sri Bharathi, Senthil |\n| Neethana Antha Kuyil | R. Selvaraj | Kaladharshan Films | Ilaiyaraaja | Raja, Ranjini |\n| Nilave Malare | S. A. Chandrasekhar | Saj Productions | M. S. Viswanathan | Nadhiya, Rahman, Rajesh, Baby Shalini, Manorama, Senthil |\n| Odangal | Ameerjan | P. S. V. Pictures | Sampath Selvam | Sanjay Kumar, Naveena, Radha Ravi, Manorama |\n| Oomai Vizhigal | R. Aravindraj | Thirai Chirpi | Manoj Gyan Aabavanan | Vijayakanth, Jaishankar, Arun Pandian, Saritha, Chandrasekhar, Srividya, Visu, Ilavarasi, Senthil |\n| Oru Iniya Udhayam | R. Selvam | Pandu Cine Arts | Manoj Gyan | Vijayakanth, Amala, Vijayakumar, Janagaraj |\n| Oru Manithan Oru Manaivi | Durai | S. D. Creation | Sankar Ganesh | Suresh, Ashok, Sumithra |\n| Paadum Paravaigal | | K. R. Cine Arts | Sankar Ganesh | Anand Babu, Jeevitha |\n| Padikkatha Padam | Bharath | M. L. M. Creation | T. S. Raghavender | Bharathi, Viji |\n| Palaivana Rojakkal | Manivannan | Poompuhar Production | Ilaiyaraaja | Prabhu, Sathyaraj, Nalini, Lakshmi, Suhasini |\n| Panneer Nadhigal | M. Bhaskar | Oscar Movies | Sankar Ganesh | Sivakumar, Amala, Jeevitha, Nizhalgal Ravi, Jayashree, S. S. Chandran, Senthil, Baby Meena |\n| Paru Paru Pattanam Paru | Manobala | Kalaimani Movies | Ilaiyaraaja | Mohan, Ranjini, Kuyili |\n| Piranthaen Valarnthaen | Vijayasingam | Dhandayudhapani Films | Sankar Ganesh | Goundamani, Jeevitha, S. Ve. Shekher, Rajeev, Soorya, Brindha, Senthil |\n| Poi Mugangal | C. V. Rajendran | Preethi Creations | Sankar Ganesh | Rakesh, Sulakshana, Ravichandran |\n| Pookalai Parikatheergal | V. Azhagappan | Sri Raja Kaliamman Movies | T. Rajendar | Suresh, Nadhiya, Rajeev, S. S. Chandran, Senthil, Manorama |\n| Pudhiya Poovithu | Surya | Golden Moon Creations | Kannan | Raja, Ramya Krishnan, Senthil, Kovai Sarala |\n| Punnagai Mannan | K. Balachander | Kavithalayaa Productions | Ilaiyaraaja | Kamal Haasan, Revathi, Srividya, Rekha |\n| Puthir | S. Siddalingaiah | Kamadhenu Art Productions | Ilaiyaraaja | Murali, Sandhya, Asha Latha |\n| Raja Nee Vaazhga | C. V. Rajendran | Garuda Films | K. Ravi | Prabhu, Ambika, Sathyaraj, Nizhalgal Ravi, Anuradha |\n| Rasigan Oru Rasigai | Balu Anand | Vasan Productions | Raveendran | Sathyaraj, Ambika, Jaishankar, Goundamani, Senthil |\n| Revathy | Sundar K. Vijayan | J. V. Movies | Sankar Ganesh | Revathi, Suresh |\n| Saadhanai | A. S. Pragasam | Pragaas Productions | Ilaiyaraaja | Sivaji Ganesan, K. R. Vijaya, Prabhu, Nalini, Y. G. Mahendra |\n| Samsaram Adhu Minsaram | Visu | AVM Productions | Shankar Ganesh | Visu, Lakshmi, Raghuvaran, Chandrasekhar, Kismu, Manorama, Madhuri, Ilavarasi, Kamala Kamesh |\n| Sarvam Sakthimayam | P. R. Somasundar | Preethi Indar Combines | Ben Surender | Rajesh, Sudha Chandran, S. Ve. Shekher, Ramya Krishnan, Manorama, Radha Ravi |\n| Selvakku | M. A. Kaja | R. G. Combines | Chandrabose | Chandrasekhar, Radha Ravi, Sulakshana, Soorya, Sri Sailaja, Janagaraj |\n| Sigappu Malargal | S. A. Chandrasekhar | Vidhya Creations | M. S. Viswanathan | Vijayakanth, Sulakshana, S. S. Chandran |\n| Solai Pushpangal | Ramarajan | Sri Thenandal Films | Sankar Ganesh | Chandrasekhar, Jeevitha, Ramarajan |\n| Thaaiku Oru Thaalaattu | Balachandra Menon | K. R. G. Film Circuit | Ilaiyaraaja | Sivaji Ganesan, Padmini, Sujatha, Pandiarajan, Visu, Ilavarasi, Rohini, Rajyalakshmi |\n| Thalaiyatti Bommaigal | K. Natraj | Appu Movies | Gangai Amaran | Goundamani, Ilavarasi, Radha Ravi, Kalpana, Senthil |\n| Thazhuvatha Kaigal | R. Sundarrajan | Swarnaambika Movies | Ilaiyaraaja | Vijayakanth, Ambika, Senthil, Anuradha |\n| Thodarum Uravu | | Thamayanthi Films | Gangai Amaran | Karthik, Urvashi |\n| Unakkaagave Vaazhgiren | K. Rangaraj | Krishnalaya Productions | Ilaiyaraaja | Sivakumar, Nadhiya, Suresh, Menaka, Senthil |\n| Unnai Ondru Ketpen | Sakthi-Kannan | V. M. I. Productions | V. S. Narasimhan | Mohan, Amala, Poornima Bhagyaraj |\n| Unnidathil Naan | Arun Veerappan | Textam Productions | Thayanban | Nethaji, Nalini, Devi Lalitha |\n| Uyire Unakkaga | K. Rangaraj | Motherland Pictures | Laxmikant–Pyarelal | Mohan, Sujatha, Nadhiya, Senthil, Kovai Sarala |\n| Vasantha Raagam | S. A. Chandrasekhar | V. V. Creations | M. S. Viswanathan | Vijayakanth, Rahman, Sudha Chandran, S. A. Chandrasekhar |\n| Vettai | Senthinathan | P. S. V. Pictures | Sankar Ganesh | Arjun, Sasikala |\n| Vidinja Kalyanam | Manivannan | Vivekanandha Pictures | Ilaiyaraaja | Sathyaraj, Raveendran, VIjayakumar, Sujatha, Jayashree, Senthil |\n| Viduthalai | K. Vijayan | Sujatha Cine Arts | Chandrabose | Sivaji Ganesan, Rajinikanth, Madhavi, Vishnuvardhan, Anuradha |\n| Vikram | Rajasekhar | Raaj Kamal Films International | Ilaiyaraaja | Kamal Haasan, Dimple Kapadia, Lizzy, Ambika, Sathyaraj, Amjad Khan, Janagaraj |\n| Yaaro Ezhuthiya Kavithai | C. V. Sridhar | Durga Bagavathy Films | Anand Shankar | Sivakumar, Rajesh, Jayashree, Thengai Srinivasan, Kovai Sarala |" + } + ] + }, + { + "id": "table_recognition_train_item_68412", + "image": "table_instructV/images/TabFact_2-1123343-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| driver | constructor | laps | time / retired | grid |\n| --- | --- | --- | --- | --- |\n| mika hã¤kkinen | mclaren - mercedes | 67 | 1:32:14.789 | 3 |\n| michael schumacher | ferrari | 67 | + 2.211 | 1 |\n| david coulthard | mclaren - mercedes | 67 | + 34.163 | 5 |\n| eddie irvine | ferrari | 67 | + 58.182 | 2 |\n| heinz - harald frentzen | williams - mecachrome | 67 | + 1:00.247 | 7 |\n| giancarlo fisichella | benetton - playlife | 67 | + 1:01.359 | 4 |\n| alexander wurz | benetton - playlife | 67 | + 1:04.789 | 8 |\n| jacques villeneuve | williams - mecachrome | 66 | + 1 lap | 9 |\n| damon hill | jordan - mugen - honda | 66 | + 1 lap | 10 |\n| jean alesi | sauber - petronas | 66 | + 1 lap | 11 |\n| rubens barrichello | stewart - ford | 65 | + 2 laps | 12 |\n| olivier panis | prost - peugeot | 65 | + 2 laps | 15 |\n| jos verstappen | stewart - ford | 65 | + 2 laps | 18 |\n| mika salo | arrows | 65 | + 2 laps | 16 |\n| shinji nakano | minardi - ford | 65 | + 2 laps | 20 |\n| toranosuke takagi | tyrrell - ford | 65 | + 2 laps | 19 |\n| esteban tuero | minardi - ford | 56 | engine | 21 |\n| ralf schumacher | jordan - mugen - honda | 53 | brakes | 6 |\n| johnny herbert | sauber - petronas | 37 | engine | 13 |\n| ricardo rosset | tyrrell - ford | 36 | engine | 22 |\n| jarno trulli | prost - peugeot | 6 | transmission | 14 |\n| pedro diniz | arrows | 6 | hydraulics | 17 |" + } + ] + }, + { + "id": "table_recognition_train_item_64856", + "image": "table_instructV/images/TabFact_1-19982699-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| | title | maneater | television premiere | dvd release | writer | director | producer |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | blood monkey | chimpanzees | january 27 , 2007 | november 6 , 2007 | george lavoo gary dauberman | robert young | charles salmon |\n| 2 | in the spider 's web | venomous spiders | august 26 , 2007 | november 6 , 2007 | gary dauberman | terry windsor | charles salmon |\n| 7 | grizzly rage | grizzly bear | june 7 , 2007 | may 6 , 2008 | arne olsen | david decoteau | robert halmi , sr phyllis lain |\n| 8 | the hive | army ants | february 17 , 2008 | august 5 , 2008 | ts cook | peter manus | charles salmon robert halmi sr robert halmi jr |\n| 17 | sand serpents | prehistoric s worm | july 11 , 2009 | november 3 , 2009 | raul inglis | jeff renfroe | ric nish |\n| 23 | behemoth | behemoth | january 15 , 2011 | april 5 , 2011 | rachelle s howie | wd hogan | john prince |\n| 24 | ferocious planet | beasts from parallel dimension | april 9 , 2011 | july 5 , 2011 | douglas g davis | billy o'brien | mary callery |" + } + ] + }, + { + "id": "table_recognition_train_item_34073", + "image": "table_instructV/images/TABMWP_35732.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| | Correctly placed | Incorrectly placed |\n| --- | --- | --- |\n| Plastic #2 | 4 | 3 |\n| Plastic #4 | 4 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_55430", + "image": "table_instructV/images/TabFact_1-21796261-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| week | date | opponent | location | final score | attendance | record |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | july 10 | alouettes | skydome | l 15 - 12 | 21028 | 0 - 1 |\n| 2 | july 15 | blue bombers | canad inns stadium | l 47 - 27 | 18025 | 0 - 2 |\n| 3 | july 23 | tiger - cats | skydome | w 24 - 21 | 25558 | 1 - 2 |\n| 4 | july 30 | roughriders | taylor field | l 20 - 15 | 18256 | 1 - 3 |\n| 5 | august 6 | blue bombers | skydome | w 40 - 7 | 21308 | 2 - 3 |\n| 6 | august 12 | lions | bc place stadium | w 28 - 26 | 20586 | 3 - 3 |\n| 7 | august 20 | alouettes | skydome | w 23 - 20 | 20152 | 4 - 3 |\n| 8 | august 27 | alouettes | molson stadium | l 20 - 5 | 19461 | 4 - 4 |\n| 9 | september 6 | tiger - cats | ivor wynne stadium | l 35 - 28 | 28895 | 4 - 5 |\n| 10 | september 11 | roughriders | skydome | w 28 - 3 | 17216 | 5 - 5 |\n| 11 | september 18 | stampeders | mcmahon stadium | l 29 - 26 | 32883 | 5 - 6 |\n| 12 | september 26 | eskimos | commonwealth stadium | w 20 - 16 | 31085 | 6 - 6 |\n| 13 | october 2 | lions | skydome | l 28 - 19 | 21084 | 6 - 7 |\n| 14 | october 9 | stampeders | skydome | w 24 - 13 | 20036 | 7 - 7 |\n| 15 | october 16 | tiger - cats | ivor wynne stadium | l 18 - 2 | 23832 | 7 - 8 |\n| 16 | october 22 | blue bombers | skydome | w 32 - 22 | 23632 | 8 - 8 |\n| 17 | october 29 | blue bombers | canad inns stadium | l 18 - 13 | 27043 | 8 - 9 |" + } + ] + }, + { + "id": "table_recognition_train_item_49776", + "image": "table_instructV/images/TAT-QA_08b9f4af-dd94-4858-841e-9a036992f149.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| | | Years Ended December 31, | |\n| --- | --- | --- | --- |\n| | 2019 | 2018 | 2017 |\n| Foreign Exchange Contracts: | | | |\n| Amounts reclassified from AOCI to earnings: | | | |\n| Net sales | $— | $383 | $(488) |\n| Cost of goods sold | 860 | (6) | 497 |\n| Selling, general and administrative | 92 | 107 | 45 |\n| Total amounts reclassified from AOCI to earnings | 952 | 484 | 54 |\n| Loss recognized in other expense for hedge ineffectiveness | — | — | (1) |\n| Loss recognized in other expense for derivatives not designated as cash flow hedges | — | — | (15) |\n| Total derivative gain on foreign exchange contracts recognized in earnings | $952 | $484 | $38 |\n| Interest Rate Swaps: | | | |\n| Benefit recorded in interest expense | $491 | $421 | $37 |\n| Total gain | $1,443 | $905 | $75 |" + } + ] + }, + { + "id": "table_recognition_train_item_68008", + "image": "table_instructV/images/TabFact_2-1585609-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| name | japanese | date of designation | date of reclassification | region | prefecture |\n| --- | --- | --- | --- | --- | --- |\n| hakodate | 函館 | 2000 - 11 - 01 | 2005 - 10 - 01 ( core city ) | hokkaido | hokkaido |\n| shimizu | 清水 | 2001 - 04 - 01 | 2003 - 04 - 01 (merge into shizuoka ) | chūbu | shizuoka |\n| shimonoseki | 下関 | 2002 - 04 - 01 | 2005 - 02 - 12 ( core city ) | chūgoku | yamaguchi |\n| morioka | 盛岡 | 2000 - 11 - 01 | 2008 - 04 - 01 ( core city ) | tōhoku | iwate |\n| kurume | 久留米 | 2001 - 04 - 01 | 2008 - 04 - 01 ( core city ) | kyushu | fukuoka |\n| maebashi | 前橋 | 2001 - 04 - 01 | 2009 - 04 - 01 ( core city ) | kantō | gunma |\n| ōtsu | 大津 | 2001 - 04 - 01 | 2009 - 04 - 01 ( core city ) | kansai | shiga |\n| amagasaki | 尼崎 | 2001 - 04 - 01 | 2009 - 04 - 01 ( core city ) | kansai | hyōgo |\n| takasaki | 高崎 | 2001 - 04 - 01 | 2011 - 04 - 01 ( core city ) | kantō | gunma |\n| toyonaka | 豊中 | 2001 - 04 - 01 | 2012 - 04 - 01 ( core city ) | kansai | osaka |" + } + ] + }, + { + "id": "table_recognition_train_item_34349", + "image": "table_instructV/images/TABMWP_341.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Location | Temperature (°F) |\n| --- | --- |\n| Death Valley | 134 |\n| Vostok Station | -128 |" + } + ] + }, + { + "id": "table_recognition_train_item_51894", + "image": "table_instructV/images/TAT-QA_40a7da40-c983-486f-9c32-8a3559c757c6.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| (In thousands) | 2019 | 2018 | 2017 |\n| --- | --- | --- | --- |\n| Balance at April 1 | $687 | $988 | $1,617 |\n| Reductions: | | | |\n| Relating to positions taken during prior year | — | (300) | (604) |\n| Relating to lapse in statute | (107) | (1) | (25) |\n| Balance at March 31 | $580 | $687 | $988 |" + } + ] + }, + { + "id": "table_recognition_train_item_56348", + "image": "table_instructV/images/TabFact_2-1217995-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| year | team | co - drivers | class | laps | pos | class pos |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1972 | ford motor company deutschland | jochen mass | s 3.0 | 152 | dnf | dnf |\n| 1973 | bmw motorsport | chris amon | t 5.0 | 160 | dnf | dnf |\n| 1980 | bmw motorsport gmbh | hans - georg bürger dominique lacaud | imsa | 283 | 15th | 5th |\n| 1981 | basf cassetten team gs sport | jean - pierre jarier helmut henzler | imsa gtx | 57 | dnf | dnf |\n| 1982 | basf cassetten team gs sport | jean - louis schlesser dieter quester | c | 76 | dnf | dnf |\n| 1985 | rothmans porsche | derek bell | c1 | 367 | 3rd | 3rd |\n| 1986 | rothmans porsche | derek bell al holbert | c1 | 368 | 1st | 1st |\n| 1987 | rothmans porsche ag | derek bell al holbert | c1 | 368 | 1st | 1st |\n| 1988 | porsche ag | klaus ludwig derek bell | c1 | 394 | 2nd | 2nd |\n| 1989 | joest racing | bob wollek | c1 | 382 | 3rd | 3rd |\n| 1990 | joest porsche racing | derek bell frank jelinski | c1 | 350 | 4th | 4th |\n| 1991 | konrad motorsport | derek bell frank jelinski | c2 | 347 | 7th | 7th |\n| 1993 | le mans porsche team | walter röhrl hurley haywood | gt | 79 | dnf | dnf |\n| 1994 | le mans porsche team joest racing | thierry boutsen danny sullivan | gt1 | 343 | 3rd | 2nd |\n| 1995 | porsche kremer racing | thierry boutsen christophe bouchut | wsc | 289 | 6th | 2nd |\n| 1996 | porsche ag | thierry boutsen bob wollek | gt1 | 353 | 2nd | 1st |\n| 1997 | porsche ag | thierry boutsen bob wollek | gt1 | 238 | dnf | dnf |\n| 1998 | team bmw motorsport | steve soper tom kristensen | lmp1 | 60 | dnf | dnf |" + } + ] + }, + { + "id": "table_recognition_train_item_31108", + "image": "table_instructV/images/TABMWP_4166.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $530 | 10,400 | 1,400 |\n| $560 | 8,200 | 5,800 |\n| $590 | 6,000 | 10,200 |\n| $620 | 3,800 | 14,600 |\n| $650 | 1,600 | 19,000 |" + } + ] + }, + { + "id": "table_recognition_train_item_32271", + "image": "table_instructV/images/TABMWP_16243.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 11 | 15 |\n| 12 | 8 |\n| 13 | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_50164", + "image": "table_instructV/images/TAT-QA_abecff2b-f651-483f-88a4-5f9f11e1348d.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| | 2019 | 2018 | 2017 |\n| --- | --- | --- | --- |\n| Moody’s / S&P credit rating of counterparty | £m | £m | £m |\n| Aa2/AA and above | 2,522 | 2,575 | 1,444 |\n| Aa3/AA– | 1,376 | 313 | 208 |\n| A1/A+a | 1,145 | 651 | 952 |\n| A2/Aa | 649 | 628 | 370 |\n| A3/A–a | 50 | 180 | 204 |\n| Baa1/BBB+a | 75 | 59 | 561 |\n| Baa2/BBB and below a | 160 | 207 | 86 |\n| | 5,977 | 4,613 | 3,825 |" + } + ] + }, + { + "id": "table_recognition_train_item_54248", + "image": "table_instructV/images/TabFact_2-1140113-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| race name | circuit | date | winning driver | constructor | report |\n| --- | --- | --- | --- | --- | --- |\n| gran premio ciudad de buenos aires | buenos aires | 30 january | juan manuel fangio | mercedes | report |\n| vii gran premio del valentino | valentino park | 27 march | alberto ascari | lancia | report |\n| xvi pau grand prix | pau | 11 april | jean behra | maserati | report |\n| iii glover trophy | goodwood | 11 april | roy salvadori | maserati | report |\n| iv grand prix de bordeaux | bordeaux | 25 april | jean behra | maserati | report |\n| vii brdc international trophy | silverstone | 7 may | peter collins | maserati | report |\n| viii gran premio di napoli | posillipo | 8 may | alberto ascari | lancia | report |\n| xvii grand prix d'albi | albi | 29 may | andrã simon | maserati | report |\n| iii curtis trophy | snetteron | 29 may | roy salvadori | maserati | report |\n| iii cornwall mrc formula 1 race | davidstow | 30 may | leslie marr | connaught - alta | report |\n| iii london trophy | crystal palace | 30 july | mike hawthorn | maserati | report |\n| iii daily record trophy | charterhall | 6 august | bob gerard | maserati | report |\n| iii redex trophy | snetterton | 13 august | harry schell | vanwall | report |\n| ii daily telegraph trophy | aintree | 3 september | roy salvadori | maserati | report |\n| ii international gold cup | oulton park | 24 september | stirling moss | maserati | report |\n| i avon trophy | castle combe | 1 october | harry schell | vanwall | report |\n| v gran premio di siracusa | syracuse | 23 october | tony brooks | connaught - alta | report |" + } + ] + }, + { + "id": "table_recognition_train_item_60888", + "image": "table_instructV/images/TabFact_1-15584067-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| no in series | no in season | title | directed by | written by | original air date | us viewers (million) |\n| --- | --- | --- | --- | --- | --- | --- |\n| 43 | 1 | baby on board | salim akil | mara brock akil | october 3 , 2008 | 1.95 |\n| 44 | 2 | mel - odrama | salim akil | mara brock akil | october 10 , 2008 | 1.80 |\n| 46 | 4 | just the three of us | salim akil | elaine aronson | october 24 , 2008 | 1.75 |\n| 47 | 5 | a delectable basket of treats | salim akil | kenya barris | october 31 , 2008 | 1.25 |\n| 48 | 6 | the platski thickens | salim akil | jennifer rice - genzuk | november 7 , 2008 | 1.67 |\n| 49 | 7 | white coats and white lies | salim akil | erica montolfo | november 14 , 2008 | 1.69 |\n| 50 | 8 | the side part , under episode | salim akil | kenny smith | november 21 , 2008 | 1.57 |\n| 51 | 9 | oh , what a night | debbie allen | sara finney - johnson | november 28 , 2008 | 1.50 |\n| 52 | 10 | the negotiation episode | eric laneuville | kenny smith | january 9 , 2009 | 1.36 |\n| 53 | 11 | insert car here | mary lou belli | erica montolfo | january 16 , 2009 | 1.58 |\n| 54 | 12 | stay fierce , malik | salim akil | eric lev | january 23 , 2009 | 1.65 |\n| 55 | 13 | do the wright thing | salim akil | jeremy howe | january 30 , 2009 | 1.83 |\n| 56 | 14 | punk ass chauncey | salim akil | kenya barris | march 13 , 2009 | 1.52 |\n| 57 | 15 | take a bow | salim akil | hale rothstein | march 20 , 2009 | 1.81 |\n| 58 | 16 | truth and consequences | salim akil | sara finney - johnson | march 27 , 2009 | 1.97 |\n| 59 | 17 | hill street blues | salim akil | jenifer rice - genzuk | april 3 , 2009 | 1.82 |\n| 60 | 18 | the third legacy | salim akil | eric lev | april 24 , 2009 | 1.83 |\n| 61 | 19 | put a ring on it | salim akil | mara brock akil | may 1 , 2009 | 1.79 |\n| 62 | 20 | the fall of the roman | salim akil | elaine aronson | may 8 , 2009 | 1.81 |\n| 63 | 21 | i want it all and i want it now | salim akil | erica montolfo & kenny smith | may 15 , 2009 | 1.78 |" + } + ] + }, + { + "id": "table_recognition_train_item_31566", + "image": "table_instructV/images/TABMWP_8797.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 14 | 5 |\n| 14 | 16 |\n| 12 | 2 |" + } + ] + }, + { + "id": "table_recognition_train_item_58374", + "image": "table_instructV/images/TabFact_2-18026409-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| pick | player | nationality | position | nhl team | team from | league from |\n| --- | --- | --- | --- | --- | --- | --- |\n| 121 | tyler bunz | canada | g | edmonton oilers | medicine hat tigers | western hockey league |\n| 122 | christopher wagner | united states | rw | anaheim ducks (from toronto) 1 | south shore kings | eastern junior hockey league |\n| 123 | zach hyman | canada | c | florida panthers | hamilton red wings | central canadian hockey league |\n| 124 | austin madaisky | canada | d | columbus blue jackets | kamloops blazers | western hockey league |\n| 125 | tony dehart | united states | d | new york islanders | oshawa generals | ontario hockey league |\n| 126 | patrick cehlin | sweden | rw | nashville predators (from tampa bay) 2 | djurgårdens if | elitserien (sweden) |\n| 127 | cody ferriero | united states | c | san jose sharks (from carolina) 3 | the governor 's academy | united states high school - ma |\n| 128 | fredrik pettersson - wentzel | sweden | g | atlanta thrashers | almtuna is | hockeyallsvenskan (sweden) |\n| 129 | freddie hamilton | canada | c | san jose sharks (from minnesota) 4 | niagara icedogs | ontario hockey league |\n| 130 | jason wilson | canada | rw | new york rangers | owen sound attack | ontario hockey league |\n| 131 | john klingberg | sweden | d | dallas stars | frölunda hc | j20 superelit (sweden) |\n| 132 | tim heed | sweden | d | anaheim ducks | södertälje sk | elitserien (sweden) |\n| 133 | michael ferland | canada | lw | calgary flames | brandon wheat kings | western hockey league |\n| 134 | cody beach | canada | rw | st louis blues | calgary hitmen | western hockey league |\n| 135 | justin florek | united states | lw | boston bruins | northern michigan wildcats | central collegiate hockey association |\n| 136 | isaac macleod | canada | d | san jose sharks (from ottawa) 5 | penticton vees | british columbia hockey league |\n| 137 | troy rutkowski | canada | d | colorado avalanche | portland winterhawks | western hockey league |\n| 138 | louis domingue | canada | g | phoenix coyotes (from nashville via carolina) 6 | quebec ramparts | quebec major junior hockey league |\n| 139 | luke walker | united states / canada | rw | colorado avalanche (from los angeles) 7 | portland winterhawks | western hockey league |\n| 140 | kenneth agostino | united states | lw | pittsburgh penguins | delbarton school | united states high school - nj |\n| 141 | petr mrazek | czech republic | g | detroit red wings | ottawa 67 's | ontario hockey league |\n| 142 | caleb herbert | united states | c | washington capitals (from phoenix) 8 | bloomington jefferson high school | united states high school - mn |\n| 143 | gregg sutch | canada | rw | buffalo sabres | mississauga st michael 's majors | ontario hockey league |\n| 144 | sam carrick | canada | rw | toronto maple leafs (from new jersey) 9 | brampton battalion | ontario hockey league |\n| 145 | adam polasek | czech republic | d | vancouver canucks | pei rocket | quebec major junior hockey league |\n| 146 | daniel brodin | sweden | lw | toronto maple leafs (from washington) 10 | djurgårdens if | elitserien (sweden) |\n| 147 | brendan gallagher | canada | rw | montreal canadiens | vancouver giants | western hockey league |\n| 148 | kevin gravel | united states | d | los angeles kings (from san jose) 11 | sioux city musketeers | united states hockey league |\n| 149 | michael parks | united states | f | philadelphia flyers | cedar rapids roughriders | united states hockey league |\n| 150 | yasin cisse | canada | rw | atlanta thrashers (from chicago) 12 | des moines buccaneers | united states hockey league |" + } + ] + }, + { + "id": "table_recognition_train_item_102661", + "image": "table_instructV/images/ToTTo_train_table_11107.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| Ht | Wt | Arm length | Hand size | 40-yard dash | 10-yd split | 20-yd split | 20-ss | 3-cone | Vert jump | Broad | BP |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6 ft 3 in (1.91 m) | 285 lb (129 kg) | 34 in (0.86 m) | 10 3⁄4 in (0.27 m) | 4.77 s | | | 4.56 s | 7.43 s | 36.5 in (0.93 m) | 11 ft 7 in (3.53 m) | 27 reps |\n| All values from NFL Combine |" + } + ] + }, + { + "id": "table_recognition_train_item_66490", + "image": "table_instructV/images/TabFact_2-180306-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| class | seas | 1st gp | 1st pod | 1st win | race | podiums | pole | flap | wchmp |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 125 cc | 1996 - 1997 | 1996 malaysia | 1996 austria | 1996 czech rep | 30 | 15 | 5 | 9 | 1 |\n| 250 cc | 1998 - 1999 | 1998 japan | 1998 spain | 1998 dutch | 30 | 21 | 5 | 11 | 1 |\n| 500 cc | 2000 - 2001 | 2000 south af | 2000 spain | 2000 british | 32 | 23 | 4 | 15 | 1 |\n| motogp | 2002 - present | 2002 japan | 2002 japan | 2002 japan | 201 | 124 | 45 | 53 | 6 |\n| total | 1996 - present | 1996 - present | 1996 - present | 1996 - present | 293 | 183 | 59 | 88 | 9 |" + } + ] + }, + { + "id": "table_recognition_train_item_113893", + "image": "table_instructV/images/Rotowire_train_table_1289.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wizards | Washington | 101 | 25 | 25 | 24 | 18 | 22 | 49 | 23 | 41 | 81 | 40 | 6 | 10 | | | | |\n| Kings | Sacramento | 95 | 19 | 34 | 19 | 20 | 20 | 44 | 20 | 41 | 62 | 14 | 7 | 11 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| Bradley Beal | 41 | 31 | 6 | 3 | 12-24 | 50% | 7-13 | 54% | 0-2 | 0% | 0 | 2 | 1 | 1 | 5 | 0 | G | Washington |\n| John Wall | 43 | 19 | 5 | 11 | 6-16 | 38% | 1-3 | 33% | 6-6 | 100% | 3 | 11 | 1 | 0 | 5 | 2 | G | Washington |\n| Otto Porter Jr. | 30 | 15 | 9 | 0 | 6-9 | 67% | 2-4 | 50% | 1-2 | 50% | 3 | 0 | 0 | 1 | 8 | 4 | F | Washington |\n| Kelly Oubre Jr. | 24 | 10 | 11 | 2 | 2-3 | 67% | 0-1 | 0% | 6-6 | 100% | 2 | 1 | 0 | 4 | 7 | 2 | N/A | Washington |\n| Marcin Gortat | 36 | 10 | 7 | 0 | 4-6 | 67% | 0-0 | 0% | 2-4 | 50% | 1 | 1 | 3 | 3 | 4 | 4 | C | Washington |\n| Markieff Morris | 44 | 8 | 5 | 4 | 2-12 | 17% | 0-2 | 0% | 4-4 | 100% | 1 | 6 | 0 | 2 | 3 | 5 | F | Washington |\n| Jason Smith | 22 | 4 | 4 | 0 | 2-8 | 25% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 0 | 4 | 3 | N/A | Washington |\n| Andrew Nicholson | 3 | 2 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Washington |\n| Trey Burke | 11 | 2 | 0 | 1 | 1-5 | 20% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 1 | 0 | 0 | 0 | N/A | Washington |\n| Tomas Satoransky | 13 | 0 | 1 | 1 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Washington |\n| Marcus Thornton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Sheldon McClellan | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Daniel Ochefu | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Kings | | | | | | | | | | | | | | | | | | |\n| DeMarcus Cousins | 40 | 36 | 20 | 4 | 16-34 | 47% | 1-6 | 17% | 3-10 | 30% | 2 | 5 | 1 | 4 | 16 | 5 | C | Sacramento |\n| Rudy Gay | 38 | 18 | 5 | 2 | 7-16 | 44% | 1-4 | 25% | 3-3 | 100% | 2 | 6 | 1 | 2 | 3 | 5 | F | Sacramento |\n| Ty Lawson | 24 | 12 | 0 | 3 | 5-9 | 56% | 0-0 | 0% | 2-2 | 100% | 3 | 4 | 0 | 0 | 0 | 2 | N/A | Sacramento |\n| Willie Cauley-Stein | 14 | 8 | 2 | 0 | 3-4 | 75% | 0-0 | 0% | 2-3 | 67% | 1 | 0 | 1 | 0 | 2 | 3 | N/A | Sacramento |\n| Darren Collison | 32 | 6 | 3 | 3 | 2-6 | 33% | 0-1 | 0% | 2-2 | 100% | 2 | 0 | 1 | 2 | 1 | 2 | G | Sacramento |\n| Kosta Koufos | 25 | 4 | 7 | 0 | 1-3 | 33% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 0 | 4 | 3 | 1 | F | Sacramento |\n| Arron Afflalo | 21 | 3 | 1 | 1 | 1-6 | 17% | 0-3 | 0% | 1-1 | 100% | 0 | 0 | 0 | 0 | 1 | 1 | G | Sacramento |\n| Matt Barnes | 27 | 3 | 2 | 2 | 1-6 | 17% | 0-3 | 0% | 1-2 | 50% | 2 | 2 | 0 | 0 | 2 | 5 | N/A | Sacramento |\n| Garrett Temple | 28 | 3 | 1 | 3 | 1-5 | 20% | 1-3 | 33% | 0-1 | 0% | 2 | 1 | 0 | 1 | 0 | 0 | N/A | Sacramento |\n| Omri Casspi | 16 | 2 | 3 | 2 | 1-4 | 25% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 0 | N/A | Sacramento |\n| Anthony Tolliver | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Ben McLemore | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |" + } + ] + }, + { + "id": "table_recognition_train_item_112935", + "image": "table_instructV/images/Rotowire_train_table_810.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hawks | Atlanta | 104 | 30 | 22 | 37 | 15 | 27 | 50 | 15 | 47 | 90 | 50 | 38 | 29 | | | | |\n| Pacers | Indiana | 75 | 17 | 21 | 18 | 19 | 24 | 38 | 16 | 38 | 57 | 21 | 35 | 31 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hawks | | | | | | | | | | | | | | | | | | |\n| Al Horford | 25 | 18 | 4 | 1 | 8-12 | 67% | 2-4 | 50% | 0-0 | 0% | 0 | 0 | 0 | 1 | 3 | 0 | C | Atlanta |\n| Paul Millsap | 30 | 18 | 9 | 4 | 7-14 | 50% | 2-4 | 50% | 2-2 | 100% | 3 | 0 | 3 | 2 | 7 | 1 | F | Atlanta |\n| Kyle Korver | 24 | 14 | 5 | 0 | 5-13 | 39% | 4-9 | 44% | 0-0 | 0% | 0 | 2 | 1 | 0 | 5 | 2 | G | Atlanta |\n| Thabo Sefolosha | 16 | 12 | 5 | 2 | 4-5 | 80% | 2-2 | 100% | 2-2 | 100% | 1 | 0 | 1 | 2 | 3 | 1 | N/A | Atlanta |\n| Kent Bazemore | 18 | 8 | 3 | 0 | 3-5 | 60% | 2-2 | 100% | 0-0 | 0% | 2 | 3 | 0 | 0 | 3 | 3 | F | Atlanta |\n| Dennis Schroder | 19 | 8 | 2 | 5 | 4-8 | 50% | 0-1 | 0% | 0-0 | 0% | 1 | 2 | 0 | 0 | 2 | 1 | N/A | Atlanta |\n| Kris Humphries | 22 | 7 | 7 | 2 | 3-6 | 50% | 1-1 | 100% | 0-0 | 0% | 1 | 1 | 1 | 0 | 7 | 1 | N/A | Atlanta |\n| Mike Muscala | 12 | 6 | 5 | 0 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 3 | 2 | 0 | N/A | Atlanta |\n| Jeff Teague | 22 | 6 | 2 | 9 | 2-5 | 40% | 1-2 | 50% | 1-2 | 50% | 1 | 2 | 0 | 0 | 2 | 2 | G | Atlanta |\n| Tim Hardaway Jr. | 23 | 5 | 2 | 2 | 1-5 | 20% | 1-2 | 50% | 2-2 | 100% | 2 | 1 | 0 | 0 | 2 | 1 | N/A | Atlanta |\n| Mike Scott | 17 | 2 | 3 | 0 | 0-5 | 0% | 0-2 | 0% | 2-2 | 100% | 0 | 2 | 0 | 1 | 2 | 0 | N/A | Atlanta |\n| Kirk Hinrich | 12 | 0 | 3 | 2 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 3 | 1 | N/A | Atlanta |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| Myles Turner | 28 | 19 | 5 | 0 | 9-17 | 53% | 0-1 | 0% | 1-2 | 50% | 2 | 1 | 1 | 0 | 5 | 2 | F | Indiana |\n| Monta Ellis | 25 | 10 | 3 | 4 | 4-9 | 44% | 1-2 | 50% | 1-2 | 50% | 1 | 2 | 0 | 1 | 2 | 2 | G | Indiana |\n| Ian Mahinmi | 21 | 8 | 7 | 0 | 4-5 | 80% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 1 | 6 | 0 | C | Indiana |\n| CJ Miles | 24 | 8 | 1 | 1 | 3-9 | 33% | 2-7 | 29% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 3 | N/A | Indiana |\n| Paul George | 25 | 7 | 2 | 6 | 3-15 | 20% | 1-5 | 20% | 0-0 | 0% | 2 | 1 | 0 | 0 | 2 | 1 | F | Indiana |\n| Glenn Robinson | 12 | 7 | 3 | 1 | 3-4 | 75% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 2 | 0 | 3 | 0 | N/A | Indiana |\n| George Hill | 23 | 5 | 4 | 2 | 2-8 | 25% | 0-4 | 0% | 1-1 | 100% | 1 | 1 | 0 | 2 | 2 | 0 | G | Indiana |\n| Jordan Hill | 15 | 4 | 4 | 1 | 2-6 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 3 | 0 | N/A | Indiana |\n| Rodney Stuckey | 10 | 2 | 0 | 0 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 1 | 2 | 0 | 0 | 0 | 0 | N/A | Indiana |\n| Solomon Hill | 19 | 2 | 2 | 4 | 1-4 | 25% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 2 | N/A | Indiana |\n| Joe Young | 16 | 2 | 3 | 4 | 1-6 | 17% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 3 | 3 | N/A | Indiana |\n| Lavoy Allen | 23 | 1 | 4 | 1 | 0-1 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 3 | 1 | 2 | 2 | 1 | N/A | Indiana |\n| Ty Lawson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |" + } + ] + }, + { + "id": "table_recognition_train_item_101764", + "image": "table_instructV/images/ToTTo_train_table_7493.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Election results |\n| --- |\n| Year | Office | | Subject | Party | Votes | % | | Opponent | Party | Votes | % |\n| 1948 | Lt. Governor | | Alexis I. du Pont Bayard | Democratic | 74,605 | 53% | | Chester V. Townsend, Jr. | Republican | 65,545 | 47% |\n| 1952 | U.S. Senator | | Alexis I. du Pont Bayard | Democratic | 77,685 | 45% | | John J. Williams | Republican | 93,020 | 55% |" + } + ] + }, + { + "id": "table_recognition_train_item_67300", + "image": "table_instructV/images/TabFact_2-18908278-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | september 17 , 1972 | baltimore colts | w 10 - 3 | 53652 |\n| 2 | september 24 , 1972 | washington redskins | l 24 - 10 | 53039 |\n| 3 | october 1 , 1972 | pittsburgh steelers | l 25 - 19 | 49140 |\n| 4 | october 8 , 1972 | minnesota vikings | w 19 - 17 | 49687 |\n| 5 | october 15 , 1972 | washington redskins | l 33 - 3 | 50454 |\n| 6 | october 22 , 1972 | new york giants | l 27 - 21 | 62756 |\n| 7 | october 29 , 1972 | chicago bears | l 27 - 10 | 50464 |\n| 8 | november 5 , 1972 | philadelphia eagles | t 6 - 6 | 65720 |\n| 9 | november 12 , 1972 | dallas cowboys | l 33 - 24 | 65218 |\n| 10 | november 19 , 1972 | new york giants | l 13 - 7 | 48014 |\n| 11 | november 27 , 1972 | miami dolphins | l 31 - 10 | 80010 |\n| 12 | december 3 , 1972 | dallas cowboys | l 27 - 6 | 49787 |\n| 13 | december 10 , 1972 | los angeles rams | w 24 - 14 | 36873 |\n| 14 | december 17 , 1972 | philadelphia eagles | w 24 - 23 | 34872 |" + } + ] + }, + { + "id": "table_recognition_train_item_60942", + "image": "table_instructV/images/TabFact_2-10809823-16.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| home team | home team score | away team | away team score | venue | crowd | date |\n| --- | --- | --- | --- | --- | --- | --- |\n| essendon | 20.9 (129) | south melbourne | 19.19 (133) | windy hill | 17471 | 19 july 1980 |\n| collingwood | 22.17 (149) | hawthorn | 19.8 (122) | victoria park | 25090 | 19 july 1980 |\n| carlton | 24.16 (160) | footscray | 15.13 (103) | princes park | 18792 | 19 july 1980 |\n| melbourne | 15.15 (105) | geelong | 17.12 (114) | mcg | 23327 | 19 july 1980 |\n| north melbourne | 17.13 (115) | fitzroy | 13.8 (86) | vfl park | 16002 | 19 july 1980 |\n| richmond | 34.18 (222) | st kilda | 11.4 (70) | scg | 14077 | 20 july 1980 |" + } + ] + }, + { + "id": "table_recognition_train_item_117603", + "image": "table_instructV/images/Rotowire_train_table_3144.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pacers | Indiana | 94 | 27 | 32 | 14 | 21 | 17 | 53 | 12 | 41 | 76 | 17 | 25 | 34 | | | | |\n| 76ers | Philadelphia | 74 | 24 | 22 | 18 | 10 | 10 | 47 | 16 | 35 | 65 | 21 | 13 | 46 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| George Hill | 32 | 17 | 9 | 4 | 8-16 | 50% | 1-5 | 20% | 0-2 | 0% | 2 | 2 | 0 | 1 | 8 | 1 | G | Indiana |\n| Luis Scola | 19 | 15 | 6 | 2 | 7-12 | 58% | 0-0 | 0% | 1-1 | 100% | 2 | 0 | 1 | 3 | 3 | 2 | N/A | Indiana |\n| Roy Hibbert | 31 | 14 | 15 | 0 | 5-12 | 42% | 0-0 | 0% | 4-5 | 80% | 2 | 2 | 5 | 5 | 10 | 2 | C | Indiana |\n| Rodney Stuckey | 32 | 12 | 5 | 4 | 4-13 | 31% | 1-2 | 50% | 3-3 | 100% | 3 | 3 | 1 | 2 | 3 | 1 | N/A | Indiana |\n| CJ Watson | 17 | 8 | 5 | 3 | 2-6 | 33% | 0-3 | 0% | 4-4 | 100% | 0 | 1 | 0 | 0 | 5 | 0 | N/A | Indiana |\n| David West | 29 | 8 | 6 | 2 | 3-8 | 38% | 0-0 | 0% | 2-4 | 50% | 0 | 0 | 2 | 2 | 4 | 1 | F | Indiana |\n| CJ Miles | 29 | 7 | 2 | 2 | 2-10 | 20% | 1-5 | 20% | 2-3 | 67% | 2 | 0 | 0 | 0 | 2 | 0 | N/A | Indiana |\n| Ian Mahinmi | 16 | 6 | 3 | 0 | 3-3 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 4 | N/A | Indiana |\n| Solomon Hill | 20 | 4 | 2 | 0 | 2-7 | 29% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 3 | F | Indiana |\n| Damjan Rudez | 14 | 3 | 0 | 0 | 0-1 | 0% | 0-1 | 0% | 3-3 | 100% | 0 | 1 | 0 | 0 | 0 | 1 | G | Indiana |\n| Lavoy Allen | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Indiana |\n| Chris Copeland | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Donald Sloan | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Robert Covington | 24 | 12 | 3 | 0 | 5-11 | 46% | 2-5 | 40% | 0-0 | 0% | 0 | 2 | 0 | 0 | 3 | 3 | F | Philadelphia |\n| Ish Smith | 25 | 11 | 4 | 5 | 5-13 | 39% | 1-1 | 100% | 0-0 | 0% | 0 | 2 | 0 | 1 | 3 | 1 | N/A | Philadelphia |\n| Jason Richardson | 26 | 10 | 3 | 0 | 4-12 | 33% | 1-5 | 20% | 1-2 | 50% | 2 | 1 | 0 | 0 | 3 | 2 | G | Philadelphia |\n| Nerlens Noel | 35 | 10 | 12 | 1 | 2-8 | 25% | 0-0 | 0% | 6-6 | 100% | 1 | 3 | 3 | 5 | 7 | 4 | C | Philadelphia |\n| Thomas Robinson | 25 | 9 | 9 | 1 | 4-11 | 36% | 0-0 | 0% | 1-3 | 33% | 0 | 1 | 0 | 2 | 7 | 3 | N/A | Philadelphia |\n| Isaiah Canaan | 22 | 5 | 2 | 1 | 2-8 | 25% | 1-5 | 20% | 0-0 | 0% | 2 | 0 | 1 | 0 | 2 | 3 | G | Philadelphia |\n| Luc Mbah a Moute | 23 | 4 | 3 | 0 | 2-7 | 29% | 0-2 | 0% | 0-2 | 0% | 0 | 4 | 0 | 1 | 2 | 2 | F | Philadelphia |\n| Jerami Grant | 18 | 4 | 7 | 1 | 1-5 | 20% | 0-3 | 0% | 2-2 | 100% | 2 | 0 | 0 | 1 | 6 | 3 | N/A | Philadelphia |\n| Hollis Thompson | 23 | 4 | 0 | 1 | 2-5 | 40% | 0-2 | 0% | 0-0 | 0% | 1 | 2 | 0 | 0 | 0 | 0 | N/A | Philadelphia |\n| JaVale McGee | 8 | 3 | 1 | 0 | 1-2 | 50% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 1 | 0 | 1 | 0 | N/A | Philadelphia |\n| JaKarr Sampson | 11 | 2 | 3 | 0 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 3 | 4 | N/A | Philadelphia |\n| Furkan Aldemir | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Henry Sims | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |" + } + ] + }, + { + "id": "table_recognition_train_item_56966", + "image": "table_instructV/images/TabFact_2-10783853-17.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| home team | home team score | away team | away team score | venue | crowd | date |\n| --- | --- | --- | --- | --- | --- | --- |\n| collingwood | 20.14 (134) | fitzroy | 12.15 (87) | victoria park | 16892 | 31 august 1963 |\n| south melbourne | 8.7 (55) | st kilda | 19.14 (128) | lake oval | 22920 | 31 august 1963 |\n| richmond | 7.8 (50) | melbourne | 14.13 (97) | punt road oval | 17780 | 31 august 1963 |\n| north melbourne | 6.9 (45) | hawthorn | 12.14 (86) | arden street oval | 12963 | 31 august 1963 |\n| footscray | 4.4 (28) | essendon | 12.12 (84) | western oval | 27231 | 31 august 1963 |\n| geelong | 13.17 (95) | carlton | 5.4 (34) | kardinia park | 29732 | 31 august 1963 |" + } + ] + }, + { + "id": "table_recognition_train_item_32149", + "image": "table_instructV/images/TABMWP_14839.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 14 | 15 |\n| 15 | 14 |\n| 16 | 9 |" + } + ] + }, + { + "id": "table_recognition_train_item_33447", + "image": "table_instructV/images/TABMWP_29442.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of shopping bags | Number of sweatshirts |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | 20 |\n| 5 | 25 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_34338", + "image": "table_instructV/images/TABMWP_139.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $65 | 20,000 | 2,300 |\n| $235 | 15,300 | 6,800 |\n| $405 | 10,600 | 11,300 |\n| $575 | 5,900 | 15,800 |\n| $745 | 1,200 | 20,300 |" + } + ] + }, + { + "id": "table_recognition_train_item_103066", + "image": "table_instructV/images/ToTTo_train_table_12847.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| # | Name | Notes | Years | Reference | Image |\n| --- | --- | --- | --- | --- | --- |\n| 1 | James Blair | | 1693–1743 | | - |\n| 2 | William Dawson | | 1743–1752 | | |\n| 3 | William Stith | | 1752–1755 | | |\n| 4 | Thomas Dawson | | 1755–1760 | | |\n| 5 | William Yates | | 1761–1764 | | |\n| 6 | James Horrocks | | 1764–1771 | | |\n| 7 | John Camm | | 1771–1776 | | |\n| 8 | James Madison | | 1776–1812 | | - |\n| 9 | John Bracken | | 1812–1814 | | |\n| 10 | John Augustine Smith | | 1814–1826 | | - |\n| 11 | William Holland Wilmer | | 1826–1827 | | |\n| 12 | Adam Empie | | 1827–1836 | | - |\n| 13 | Thomas Roderick Dew | | 1836–1846 | | |\n| 14 | Robert Saunders, Jr. | | 1846–1848 | | |\n| 15 | John Johns | | 1849–1854 | | - |\n| 16 | Benjamin Stoddert Ewell | | 1854–1888 | | |\n| 17 | Lyon Gardiner Tyler | | 1888–1919 | | - |\n| 18 | J. A. C. Chandler | | 1919–1934 | | - |\n| 19 | John Stewart Bryan | | 1934–1942 | | |\n| 20 | John Edwin Pomfret | | 1942–1951 | | - |\n| 21 | Alvin Duke Chandler | | 1951–1960 | | |\n| 22 | Davis Young Paschall | | 1960–1971 | | |\n| 23 | Thomas Ashley Graves, Jr. | | 1971–1985 | | |\n| 24 | Paul R. Verkuil | | 1985–1992 | | |\n| 25 | Timothy J. Sullivan | | 1992–2005 | | |\n| 26 | Gene Nichol | | 2005–2008 | | |\n| 27 | W. Taylor Reveley III | | 2008–2018 | | - |\n| 28 | Katherine Rowe | | 2018– | | - |" + } + ] + }, + { + "id": "table_recognition_train_item_116379", + "image": "table_instructV/images/Rotowire_train_table_2532.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Thunder | Oklahoma City | 113 | 25 | 30 | 36 | 22 | 21 | 50 | 10 | 47 | 87 | 27 | 4 | 2 | | | | |\n| Spurs | San Antonio | 99 | 19 | 12 | 34 | 34 | 19 | 40 | 10 | 43 | 81 | 35 | 2 | 4 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Kevin Durant | 43 | 37 | 9 | 2 | 12-24 | 50% | 1-4 | 25% | 12-12 | 100% | 0 | 2 | 0 | 0 | 9 | 0 | F | Oklahoma City |\n| Russell Westbrook | 38 | 28 | 3 | 12 | 10-21 | 48% | 2-6 | 33% | 6-6 | 100% | 2 | 6 | 0 | 1 | 2 | 3 | G | Oklahoma City |\n| Steven Adams | 40 | 15 | 11 | 0 | 6-7 | 86% | 0-0 | 0% | 3-4 | 75% | 2 | 0 | 1 | 5 | 6 | 5 | C | Oklahoma City |\n| Andre Roberson | 33 | 14 | 7 | 1 | 5-8 | 63% | 3-5 | 60% | 1-2 | 50% | 1 | 0 | 2 | 3 | 4 | 5 | G | Oklahoma City |\n| Serge Ibaka | 34 | 8 | 10 | 1 | 3-9 | 33% | 0-3 | 0% | 2-3 | 67% | 0 | 0 | 3 | 1 | 9 | 1 | F | Oklahoma City |\n| Enes Kanter | 21 | 7 | 7 | 0 | 2-7 | 29% | 0-1 | 0% | 3-4 | 75% | 1 | 0 | 0 | 3 | 4 | 1 | N/A | Oklahoma City |\n| Randy Foye | 11 | 2 | 1 | 1 | 1-4 | 25% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 1 | 0 | 1 | 1 | N/A | Oklahoma City |\n| Dion Waiters | 18 | 2 | 2 | 4 | 1-5 | 20% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 1 | 1 | 2 | N/A | Oklahoma City |\n| Cameron Payne | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Oklahoma City |\n| Nazr Mohammed | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Oklahoma City |\n| Anthony Morrow | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Kyle Singler | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Nick Collison | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Kawhi Leonard | 37 | 22 | 9 | 5 | 9-23 | 39% | 1-4 | 25% | 3-4 | 75% | 3 | 1 | 0 | 3 | 6 | 3 | F | San Antonio |\n| Tim Duncan | 34 | 19 | 5 | 0 | 7-14 | 50% | 0-0 | 0% | 5-6 | 83% | 0 | 2 | 1 | 2 | 3 | 1 | C | San Antonio |\n| LaMarcus Aldridge | 34 | 18 | 14 | 2 | 9-18 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 13 | 1 | F | San Antonio |\n| Danny Green | 31 | 9 | 0 | 0 | 3-8 | 38% | 2-6 | 33% | 1-2 | 50% | 3 | 0 | 0 | 0 | 0 | 3 | G | San Antonio |\n| Tony Parker | 23 | 6 | 1 | 3 | 3-6 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 0 | 1 | 1 | G | San Antonio |\n| Kyle Anderson | 15 | 6 | 1 | 0 | 2-4 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | San Antonio |\n| Patty Mills | 13 | 5 | 0 | 3 | 2-2 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 0 | N/A | San Antonio |\n| Manu Ginobili | 23 | 5 | 1 | 2 | 1-6 | 17% | 1-3 | 33% | 2-2 | 100% | 0 | 1 | 0 | 0 | 1 | 6 | N/A | San Antonio |\n| David West | 9 | 5 | 3 | 0 | 2-5 | 40% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 1 | 1 | 2 | 1 | N/A | San Antonio |\n| Andre Miller | 9 | 2 | 3 | 4 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 2 | 1 | 2 | N/A | San Antonio |\n| Boban Marjanovic | 7 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 3 | N/A | San Antonio |\n| Kevin Martin | 6 | 0 | 2 | 0 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | San Antonio |\n| Boris Diaw | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |" + } + ] + }, + { + "id": "table_recognition_train_item_68064", + "image": "table_instructV/images/TabFact_2-16359952-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| team 1 | agg | team 2 | 1st leg | 2nd leg | 3rd leg |\n| --- | --- | --- | --- | --- | --- |\n| paf wennington bologna | 2 - 0 | kk cibona | 76 - 64 | 75 - 74 | unnecessary |\n| real madrid | 2 - 0 | kk budućnost | 91 - 63 | 76 - 62 | unnecessary |\n| kinder bologna | 2 - 0 | estudiantes | 113 - 70 | 85 - 80 | unnecessary |\n| paok | 1 - 2 | kk union olimpija | 75 - 64 | 77 - 85 | 69 - 73 |\n| olympiacos | 2 - 0 | muller verona | 94 - 92 | 96 - 84 | unnecessary |\n| peristeri | 0 - 2 | tau ceramica | 79 - 81 | 68 - 81 | unnecessary |\n| fc barcelona | 0 - 2 | benetton treviso | 85 - 86 | 82 - 99 | unnecessary |\n| aek athens | 2 - 0 | žalgiris kaunas | 69 - 60 | 73 - 71 | unnecessary |" + } + ] + }, + { + "id": "table_recognition_train_item_34532", + "image": "table_instructV/images/TABMWP_5730.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $45 | 16,500 | 3,700 |\n| $125 | 15,000 | 7,600 |\n| $205 | 13,500 | 11,500 |\n| $285 | 12,000 | 15,400 |\n| $365 | 10,500 | 19,300 |" + } + ] + }, + { + "id": "table_recognition_train_item_103385", + "image": "table_instructV/images/ToTTo_train_table_14197.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Image | Name | County(s) | Est. | Area | Description | Ref |\n| --- | --- | --- | --- | --- | --- | --- |\n| - | Ånderdalen | Troms | 1970 | 125 km2 (48 sq mi) | | |\n| — | Blåfjella–Skjækerfjella | Nord-Trøndelag | 2004 | 1,924 km2 (743 sq mi) | | |\n| P1000154Gamle Strynefjellsvegen.JPG | Breheimen | Oppland, Sogn og Fjordane | 2009 | 1,671 km2 (645 sq mi) | | |\n| VM.JPG | Børgefjell | Nord-Trøndelag, Nordland | 1963 | 1,447 km2 (559 sq mi) | | |\n| - | Dovre | Oppland | 2003 | 289 km2 (112 sq mi) | | |\n| - | Dovrefjell–Sunndalsfjella | Møre og Romsdal, Oppland, Sør-Trøndelag | 1974 | 1,693 km2 (654 sq mi) | | |\n| - | Færder | Vestfold | 2013 | 350 km2 (140 sq mi) | | |\n| - | Femundsmarka | Hedmark, Sør-Trøndelag | 1971 | 573 km2 (221 sq mi) | | |\n| - | Folgefonna | Hordaland | 2005 | 545 km2 (210 sq mi) | | |\n| - | Forlandet | Svalbard | 1973 | 4,647 km2 (1,794 sq mi) | The park covers the uninhabited island of Prins Karls Forland and the surrounding waters. Forlandet is long and narrow with tall peaks, separated in two by the low Forlandsletta. | |\n| - | Forollhogna | Sør-Trøndelag, Hedmark | 2001 | 1,062 km2 (410 sq mi) | | |\n| Fulufjellet nasjonalpark 007.JPG | Fulufjellet | Hedmark | 2012 | 83 km2 (32 sq mi) | | |\n| - | Gutulia | Hedmark | 1968 | 23 km2 (8.9 sq mi) | | |\n| - | Hallingskarvet | Buskerud, Hordaland | 2006 | 450 km2 (170 sq mi) | | |\n| - | Hardangervidda | Buskerud, Hordaland, Telemark | 1981 | 3,422 km2 (1,321 sq mi) | | |\n| - | Indre Wijdefjorden | Svalbard | 2005 | 1,127 km2 (435 sq mi) | Located in a steep fjord landscape in northern Spitsbergen, the park covers the inner part of Wijdefjorden—the longest fjord on Svalbard. | |\n| Briksdalsbreen.JPG | Jostedalsbreen | Sogn og Fjordane | 1991 | 1,310 km2 (510 sq mi) | | |\n| Jotunheimen - view from Galdhøpiggen.JPG | Jotunheimen | Oppland, Sogn og Fjordane | 1980 | 1,151 km2 (444 sq mi) | | |\n| - | Junkerdal | Nordland | 2004 | 682 km2 (263 sq mi) | | |\n| - | Làhku | Nordland | 2012 | 188 km2 (73 sq mi) | | |\n| - | Langsua | Oppland | 2011 | 537 km2 (207 sq mi) | | |\n| — | Lierne | Nordland | 2004 | 333 km2 (129 sq mi) | | |\n| - | Lomsdal–Visten | Nordland | 2009 | 682 km2 (263 sq mi) | | |\n| - | Møysalen | Nordland | 2003 | 51 km2 (20 sq mi) | | |\n| - | Nordenskiöld Land | Svalbard | 2003 | 1,362 km2 (526 sq mi) | The park covers the southern part of Nordenskiöld Land, on the north shore of Van Mijenfjorden. Reindalen is Svalbard's largest ice-free valley and features moraines, rock glaciers, pingos and avalanche features. | |\n| Daudmannsodden Lexfjellet IMG 2538.JPG | Nordre Isfjorden | Svalbard | 2003 | 2,954 km2 (1,141 sq mi) | Protecting the northern shore of Isfjorden on Spitsbergen, the park consists of a long shore-line with lush vegetation serving as breeding grounds for birds. | |\n| - | Nordvest-Spitsbergen | Svalbard | 1973 | 9,914 km2 (3,828 sq mi) | The northwestern part of Spitsbergen has the archipelago's most varied nature and features some of the most important cultural heritage sites from whaling and Arctic exploration, such as Smeerenburg and Virgohamna. | |\n| - | Øvre Anárjohka | Finnmark | 1975 | 1,390 km2 (540 sq mi) | | |\n| - | Øvre Dividal | Troms | 1971 | 750 km2 (290 sq mi) | | |\n| - | Øvre Pasvik | Finnmark | 1970 | 119 km2 (46 sq mi) | Part of Pasvik–Inari Trilateral Park, the area is dominated by Siberian-like taiga consisting of old-growth Scots pine, shallow lakes and bog. | |\n| - | Rago | Nordland | 1971 | 171 km2 (66 sq mi) | | |\n| - | Reinheimen | Oppland, Møre og Romsdal | 2006 | 1,969 km2 (760 sq mi) | | |\n| - | Reisa | Troms | 1986 | 803 km2 (310 sq mi) | | |\n| - | Rohkunborri | Troms | 2011 | 571 km2 (220 sq mi) | | |\n| - | Rondane | Hedmark, Oppland | 1962 | 963 km2 (372 sq mi) | | |\n| - | Saltfjellet–Svartisen | Nordland | 1989 | 2,102 km2 (812 sq mi) | | |\n| - | Sassen–Bünsow Land | Svalbard | 2003 | 1,230 km2 (470 sq mi) | The park covers Tempelfjorden, Bünsow Land and the vast fluvial plain of Sassendalen, located at the head of Isfjorden. Tempelfjorden is an important breeding ground for ringed seals, while Sassendalen and Gipsdalen are important breeding grounds for geese. | |\n| - | Seiland | Finnmark | 2006 | 316 km2 (122 sq mi) | | |\n| - | Sjunkhatten | Nordland | 2010 | 417 km2 (161 sq mi) | | |\n| - | Skarvan and Roltdalen | Nord-Trøndelag, Sør-Trøndelag | 2004 | 441 km2 (170 sq mi) | | |\n| - | Sør-Spitsbergen | Svalbard | 1973 | 13,286 km2 (5,130 sq mi) | Covering the southern part of Spitsbergen (Wedel Jarlsberg Land, Torell Land and Sørkapp Land), the western part has jagged mountains while the eastern part is more rounded. | |\n| | Stabbursdalen | Finnmark | 1970 | 747 km2 (288 sq mi) | | |\n| - | Varangerhalvøya | Finnmark | 2006 | 1,804 km2 (697 sq mi) | | |\n| - | Ytre Hvaler | Østfold | 2009 | 354 km2 (137 sq mi) | | |\n| Arendal Tromøy Spornes b.JPG | Raet | Aust-Agder | 2016 | | | |\n| - | Jomfruland | Telemark | 2016 | | | |\n| | Lofotodden | Nordland | 2018 | | | |" + } + ] + }, + { + "id": "table_recognition_train_item_54894", + "image": "table_instructV/images/TabFact_1-1341577-36.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| district | incumbent | party | first elected | result | candidates |\n| --- | --- | --- | --- | --- | --- |\n| ohio 1 | tom luken | democratic | 1976 | re - elected | tom luken (d) 56.5% steve chabot (r) 43.5% |\n| ohio 2 | bill gradison | republican | 1974 | re - elected | bill gradison (r) 72.3% chuck r stidham (d) 27.7% |\n| ohio 3 | tony p hall | democratic | 1978 | re - elected | tony p hall (d) 76.9% ron crutcher (r) 23.1% |\n| ohio 4 | mike oxley | republican | 1972 | re - elected | mike oxley (r) unopposed |\n| ohio 5 | del latta | republican | 1958 | retired republican hold | paul gillmor (r) 60.6% tom murray (d) 39.4% |\n| ohio 6 | bob mcewen | republican | 1980 | re - elected | bob mcewen (r) 74.3% gordon r roberts (d) 25.7% |\n| ohio 7 | mike dewine | republican | 1982 | re - elected | mike dewine (r) 73.9% jack schira (d) 26.1% |\n| ohio 8 | buz lukens | republican | 1986 | re - elected | buz lukens (r) 75.9% john w griffin (d) 24.1% |\n| ohio 9 | marcy kaptur | democratic | 1982 | re - elected | marcy kaptur (d) 81.3% al hawkins (r) 18.7% |\n| ohio 12 | john kasich | republican | 1982 | re - elected | john kasich (r) 80.1% mark p brown (d) 19.9% |\n| ohio 13 | don pease | democratic | 1976 | re - elected | don pease (d) 69.8% dwight brown (r) 30.2% |\n| ohio 14 | thomas c sawyer | democratic | 1986 | re - elected | thomas c sawyer (d) 74.7% loretta lang (r) 25.3% |\n| ohio 16 | ralph regula | republican | 1972 | re - elected | ralph regula (r) 78.6% melvin j gravely (d) 21.4% |\n| ohio 19 | ed feighan | democratic | 1982 | re - elected | ed feighan (d) 70.5% noel f roberts (r) 29.5% |\n| ohio 20 | mary rose oakar | democratic | 1976 | re - elected | mary rose oakar (d) 82.6% michael sajna (r) 17.4% |" + } + ] + }, + { + "id": "table_recognition_train_item_107854", + "image": "table_instructV/images/ToTTo_train_table_32924.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| 8 August 2015 Friendly | Bengaluru FC | 5–2 | India U-19 | Bengaluru | |\n| --- | --- | --- | --- | --- | --- |\n| 10:00 IST | Chhetri 5' Alwyn 56' Manju 66' Eugeneson Lyngdoh 82' R. Singh 89' | Report | Lalhlimpuia 6' Singh 21' | Stadium: Bangalore Football Stadium | |" + } + ] + }, + { + "id": "table_recognition_train_item_62920", + "image": "table_instructV/images/TabFact_2-14667303-17.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| round | player | nationality | nhl team | college / junior / club team (league) |\n| --- | --- | --- | --- | --- |\n| 1 | andrew cogliano | canada | edmonton oilers | st michael 's buzzers (opjhl) |\n| 2 | taylor chorney | united states | edmonton oilers | shattuck - saint mary 's school (midget major aaa) |\n| 3 | danny syvret | canada | edmonton oilers (from philadelphia flyers ) | london knights (ohl) |\n| 3 | robby dee | united states | edmonton oilers | breck school (ushs) |\n| 4 | chris vandevelde | united states | edmonton oilers | lincoln stars (ushl) |\n| 4 | vyacheslav trukhno | russia | edmonton oilers | prince edward island rocket (qmjhl) |\n| 5 | fredrik pettersson | sweden | edmonton oilers | frolunda (sweden) |\n| 7 | matthew glasser | canada | edmonton oilers | fort mcmurray oil barons (ajhl) |" + } + ] + }, + { + "id": "table_recognition_train_item_32676", + "image": "table_instructV/images/TABMWP_20762.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 10 | 6 |\n| 1 | 3 |\n| 10 | 5 |" + } + ] + }, + { + "id": "table_recognition_train_item_59314", + "image": "table_instructV/images/TabFact_2-11783766-11.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| player | position | date of birth (age) | caps | club / province |\n| --- | --- | --- | --- | --- |\n| ryo yamamura | prop | 9 august 1981 | 34 | jubilo |\n| masahito yamamoto | prop | 29 may 1978 | 25 | verblitz |\n| tomokazu soma | prop | 5 june 1977 | 13 | wild knights |\n| tatsukichi nishiura | prop | 20 february 1976 | 7 | west red sparks |\n| yuji matsubara | hooker | 5 september 1979 | 19 | kobelco steelers |\n| yusuke aoki | hooker | 19 june 1983 | 2 | verblitz |\n| hitoshi ono | lock | 6 may 1978 | 20 | brave lupus |\n| takanori kumagae | lock | 31 may 1978 | 25 | green rockets |\n| luatangi vatuvei | lock | 8 december 1977 | 20 | liners |\n| luke thompson | lock | 16 april 1981 | 5 | liners |\n| yasunori watanabe | flanker | 2 june 1974 | 30 | brave lupus |\n| hajime kiso | flanker | 7 november 1978 | 28 | jubilo |\n| hare makiri | flanker | 31 may 1978 | 16 | fukuoka |\n| philip o 'reilly | flanker | 24 july 1980 | 5 | wild knights |\n| takamichi sasaki | flanker | 30 october 1983 | 5 | sungoliath |\n| takuro miuchi ( c ) | number 8 | 11 december 1975 | 36 | green rockets |\n| yuki yatomi | scrum - half | 16 february 1985 | 7 | jubilo |\n| tomoki yoshida | scrum - half | 22 february 1982 | 4 | brave lupus |\n| kim chul won | scrum - half | 22 january 1984 | 0 | liners |\n| eiji ando | fly - half | 14 may 1982 | 12 | green rockets |\n| kousei ono | fly - half | 17 april 1987 | 3 | fukuoka |\n| shotaro onishi | centre | 18 november 1978 | 24 | jubilo |\n| nataniela oto | centre | 16 may 1980 | 11 | brave lupus |\n| yuta imamura | centre | 31 october 1984 | 11 | kobelco steelers |\n| koji taira | centre | 12 january 1983 | 3 | sungoliath |\n| bryce robins | centre | 19 september 1980 | 6 | black rams |\n| hirotoki onozawa | wing | 29 march 1978 | 35 | sungoliath |\n| kosuke endo | wing | 11 november 1980 | 13 | verblitz |\n| tomoki kitagawa | wing | 25 july 1983 | 2 | wild knights |\n| christian loamanu | wing | 13 may 1986 | 7 | saitama |\n| go aruga | fullback | 13 november 1983 | 7 | sungoliath |" + } + ] + }, + { + "id": "table_recognition_train_item_48764", + "image": "table_instructV/images/TAT-QA_514115ec-6e2f-468b-9f7c-405f63041720.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| | | Level 1 | Level 2 | Level 3 | Total |\n| --- | --- | --- | --- | --- | --- |\n| | Notes | $'000 | $'000 | $'000 | $'000 |\n| At 30 June 2019 | | | | | |\n| Assets held for sale | 10.2 | - | 1,107 | - | 1,107 |\n| Leasehold investment properties | 10.4 | - | - | 215,279 | 215,279 |\n| Freehold investment properties | 10.4 | - | - | 1,874,698 | 1,874,698 |\n| | | - | 1,107 | 2,089,977 | 2,091,084 |\n| At 30 June 2018 | | | | | |\n| Assets held for sale | 10.2 | - | 5,713 | - | 5,713 |\n| Leasehold investment properties | 10.4 | - | - | 207,664 | 207,664 |\n| Freehold investment properties | 10.4 | - | | 1,377,924 | 1,377,924 |" + } + ] + }, + { + "id": "table_recognition_train_item_53906", + "image": "table_instructV/images/TabFact_2-17626681-15.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| date from | date to | pos | name | moving to |\n| --- | --- | --- | --- | --- |\n| 1 july 2008 | 30 june 2009 | gk | tom heaton | cardiff city |\n| 22 july 2008 | 17 january 2009 | fw | febian brandy | swansea city |\n| 4 august 2008 | 30 june 2009 | df | danny simpson | blackburn rovers |\n| 8 august 2008 | 30 june 2009 | df | craig cathcart | plymouth argyle |\n| 13 august 2008 | 31 december 2008 | mf | lee martin | nottingham forest |\n| 1 september 2008 | 30 june 2009 | fw | fraizer campbell | tottenham hotspur |\n| 27 november 2008 | 25 february 2009 | gk | ron - robert zieler | northampton town |\n| 1 january 2009 | 30 june 2009 | df | david gray | plymouth argyle |\n| 5 january 2009 | 5 april 2009 | mf | sam hewson | hereford united |\n| 16 january 2009 | 30 june 2009 | fw | manucho | hull city |\n| 16 january 2009 | 30 june 2009 | mf | tom cleverley | leicester city |\n| 2 february 2009 | 2 march 2009 | df | james chester | peterborough united |\n| 2 february 2009 | 30 june 2009 | fw | febian brandy | hereford united |" + } + ] + }, + { + "id": "table_recognition_train_item_105842", + "image": "table_instructV/images/ToTTo_train_table_24522.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| ICC World XI 344/8 (50 overs) | v | Asia XI 232/10 (39.5 overs) |\n| --- | --- | --- |\n| Australia Ricky Ponting 115 (102) Sri Lanka Muttiah Muralitharan 3/59 (10 overs) | | India Rahul Dravid 75* (71) New Zealand Daniel Vettori 3/58 (10 overs) |" + } + ] + }, + { + "id": "table_recognition_train_item_35324", + "image": "table_instructV/images/TABMWP_29836.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $845 | 12,700 | 12,800 |\n| $1,025 | 11,400 | 13,400 |\n| $1,205 | 10,100 | 14,000 |\n| $1,385 | 8,800 | 14,600 |\n| $1,565 | 7,500 | 15,200 |" + } + ] + }, + { + "id": "table_recognition_train_item_104773", + "image": "table_instructV/images/ToTTo_train_table_20066.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| name | cylinders | cubic capacity | bore and stroke | tax horsepower | power output | years in production |\n| --- | --- | --- | --- | --- | --- | --- |\n| Ten | 4 sv | 1,097 cc (67 cu in) | 63 x 88 | 9.84 | | 1919–23 |\n| Fifteen | 6 sv | 1,991 cc (121 cu in) | 65 x 100 | 15.72 | | 1921—1925 |\n| Ten/Twenty-six | 4 ohv | 1,308 cc (80 cu in) | 63 x 105 | 9.84 | | 1925–27 |\n| Eight | 4 | 847 cc (52 cu in) | 56 x 86 | 7.78 | | 1926 |\n| Junior | 4 sohc | 850 cc (52 cu in) | | | | 1926–35 |\n| Fourteen/Thirty-four | 6 ohv | 1,776 cc (108 cu in) | 63 x 95 | 14.76 | | 1926 |\n| Fourteen/Thirty-four | 6 ohv | 1,792 cc (109 cu in) | 65 x 90 | 15.72 | | 1926 |\n| Six | 6 | | | | | 1927 |\n| Eight Junior | 4 ohc | 848 cc (52 cu in) | 56 x 86 | 7.78 | 16.5 bhp (12.3 kW; 16.7 PS) @ 3,250 rpm | 1927–32 |\n| Ten | 4 | 1,261 cc (77 cu in) | 65 x 95 | 10.48 | | 1927–32 |\n| Senior | 4 | 1,571 cc (96 cu in) | 69 x 105 | 11.81 | | 1927–30 |\n| Singer 16 | 6 ohv | 1,920 cc (117 cu in) | 65.5 x 95 | 15.96 | | 1929 |\n| Senior Six(Light Six) | 6 sv | 1,792 cc (109 cu in) | 65 x 90 | 15.72 | | 1930—31 |\n| Super Six | 6 ohv | 1,920 cc (117 cu in) | 65.5 x 95 | 15.96 | | 1930–31 |\n| 2-litre | 6 sohc | 2,050 cc (125 cu in) | 69.5 x 90 | 17.97 | 45 bhp (34 kW; 46 PS) @ 3,600 rpm | 1933 |\n| Nine ifs fluidrive | 4 sohc | 972 cc (59 cu in) | 60 x 86 | 8.93 | 31 bhp (23 kW; 31 PS) @ 4,800 rpm | 1933–37 |\n| Nine Le Mans | 4 sohc | 972 cc (59 cu in) | 60 x 86 | 8.93 | 35 bhp (26 kW; 35 PS) @ 4,500 rpm | 1935–36 |\n| Nine Special Speed | 4 sohc | 972 cc (59 cu in) | 60 x 86 | 8.93 | 38 bhp (28 kW; 39 PS) @ 5,000 rpm | 1935 |\n| Twelve | 4 sohc | 1,442 cc (88 cu in) | 69.5 x 95 | 11.98 | 32 bhp (24 kW; 32 PS) @ 3,600 rpm | 1933–35 |\n| 1½ litre Le Mans | 6 sohc | 1,493 cc (91 cu in) | 59 x 91 | 12.95 | 48 bhp (36 kW; 49 PS) @ 4,600 rpm | 1933–37 |\n| Fourteen Six | 6 sohc | 1,612 cc (98 cu in) | 60 x 95 | 13.39 | | 1933 |\n| Silent Six | 6 sohc | 2,162 cc (132 cu in) | 69.5 x 95 | 17.97 | | 1934 |\n| Continental | 6 sohc | 2,162 cc (132 cu in) | 69.5 x 95 | 17.97 | | 1934 |\n| Kaye Don Special | 6 sohc | 2,162 cc (132 cu in) | 69.5 x 95 | 17.97 | | 1934 |\n| Eleven fluidrive | 4 sohc | 1,459 cc (89 cu in) | 66.5 x 105 | 11 | 39 bhp (29 kW; 40 PS) @ 4,000 rpm | 1934–37 |\n| Eleven Airstream | 4 sohc | 1,584 cc (97 cu in) | 69.5 x 105 | 11.98 | 39 bhp (29 kW; 40 PS) @ 4,000 rpm | 1934–36 |\n| Sixteen Six ifs fluidrive | 6 sohc | 1,993 cc (122 cu in) | 65 x 100 | 15.72 | | Aug 1934 onward |\n| Silent Six | 6 sohc | 2,366 cc (144 cu in) | | | | 1934 onward |\n| Bantam Nine | 4 sohc | 972 cc (59 cu in) | 60 x 86 | 8.93 | 30 bhp (22 kW; 30 PS) @ 4,200 rpm | 1936–38 |" + } + ] + }, + { + "id": "table_recognition_train_item_113035", + "image": "table_instructV/images/Rotowire_train_table_860.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Knicks | New York | 83 | 23 | 22 | 15 | 23 | 16 | 43 | 18 | 37 | 79 | 53 | 2 | 2 | | | | |\n| Wizards | Washington | 98 | 17 | 23 | 32 | 26 | 26 | 41 | 12 | 49 | 63 | 44 | 3 | 1 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Knicks | | | | | | | | | | | | | | | | | | |\n| Iman Shumpert | 31 | 19 | 4 | 0 | 6-11 | 55% | 4-4 | 100% | 3-4 | 75% | 0 | 2 | 1 | 0 | 4 | 2 | G | New York |\n| Carmelo Anthony | 37 | 18 | 6 | 3 | 8-23 | 35% | 1-2 | 50% | 1-2 | 50% | 1 | 7 | 0 | 4 | 2 | 2 | F | New York |\n| Jason Smith | 23 | 9 | 3 | 2 | 3-7 | 43% | 0-0 | 0% | 3-3 | 100% | 1 | 1 | 0 | 2 | 1 | 2 | N/A | New York |\n| Tim Hardaway Jr. | 11 | 7 | 0 | 0 | 2-7 | 29% | 1-3 | 33% | 2-2 | 100% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | New York |\n| JR Smith | 24 | 6 | 2 | 4 | 2-6 | 33% | 0-2 | 0% | 2-2 | 100% | 0 | 1 | 1 | 0 | 2 | 2 | N/A | New York |\n| Pablo Prigioni | 22 | 6 | 1 | 0 | 2-3 | 67% | 2-3 | 67% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 2 | N/A | New York |\n| Amar'e Stoudemire | 28 | 6 | 12 | 2 | 3-7 | 43% | 0-0 | 0% | 0-1 | 0% | 2 | 3 | 0 | 3 | 9 | 3 | F | New York |\n| Shane Larkin | 26 | 6 | 2 | 1 | 2-5 | 40% | 0-1 | 0% | 2-3 | 67% | 0 | 1 | 0 | 0 | 2 | 4 | G | New York |\n| Cole Aldrich | 15 | 4 | 5 | 1 | 1-6 | 17% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 0 | 2 | 3 | 4 | N/A | New York |\n| Samuel Dalembert | 20 | 2 | 8 | 3 | 1-5 | 20% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 2 | 3 | 5 | 2 | C | New York |\n| Travis Wear | 3 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | New York |\n| Quincy Acy | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Cleanthony Early | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| Paul Pierce | 28 | 17 | 5 | 3 | 5-10 | 50% | 3-5 | 60% | 4-5 | 80% | 2 | 0 | 2 | 0 | 5 | 3 | F | Washington |\n| Garrett Temple | 30 | 17 | 5 | 2 | 5-10 | 50% | 4-7 | 57% | 3-4 | 75% | 1 | 2 | 1 | 1 | 4 | 3 | G | Washington |\n| Kevin Seraphin | 22 | 15 | 2 | 0 | 6-7 | 86% | 0-0 | 0% | 3-3 | 100% | 0 | 2 | 0 | 1 | 1 | 1 | N/A | Washington |\n| Andre Miller | 17 | 12 | 2 | 3 | 6-10 | 60% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 1 | N/A | Washington |\n| John Wall | 30 | 11 | 1 | 7 | 5-11 | 46% | 0-0 | 0% | 1-4 | 25% | 2 | 3 | 0 | 0 | 1 | 1 | G | Washington |\n| Drew Gooden | 22 | 10 | 4 | 2 | 4-6 | 67% | 1-2 | 50% | 1-2 | 50% | 0 | 0 | 0 | 1 | 3 | 2 | N/A | Washington |\n| Nene | 24 | 6 | 7 | 2 | 3-10 | 30% | 0-0 | 0% | 0-1 | 0% | 2 | 2 | 1 | 2 | 5 | 3 | F | Washington |\n| Marcin Gortat | 22 | 6 | 7 | 2 | 3-6 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 2 | 5 | 4 | C | Washington |\n| Otto Porter | 28 | 4 | 7 | 4 | 2-5 | 40% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 3 | 4 | 1 | N/A | Washington |\n| Glen Rice | 15 | 0 | 1 | 1 | 0-5 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 5 | N/A | Washington |\n| DeJuan Blair | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Washington |\n| Rasual Butler | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Kris Humphries | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |" + } + ] + }, + { + "id": "table_recognition_train_item_55560", + "image": "table_instructV/images/TabFact_1-10470082-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| no | - | title | director | writer | us air date | storyteller | villains |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 14 | 1 | the tale of the final wish | d j machale | chloe brown | june 19 , 1993 | kristen | the sandman |\n| 15 | 2 | the tale of the midnight madness | d j machale | chloe brown | june 26 , 1993 | frank | nosferatu and dr vink |\n| 16 | 3 | the tale of locker 22 | david winning | chloe brown | july 3 , 1993 | kristen | none |\n| 17 | 4 | the tale of the thirteenth floor | michael keusch | anne appelton | july 10 , 1993 | betty ann | leonid , olga , and raymond |\n| 19 | 6 | the tale of the dark dragon | d j machale | allison lea bingeman | july 24 , 1993 | david (for gary 's birthday , borrowing sardo) | the dark dragon potion |\n| 20 | 8 | the tale of the whispering walls | d j machale | allison lea bingeman | july 31 , 1993 | betty ann | master raymond |\n| 21 | 7 | the tale of the frozen ghost | ron oliver | naomi janzen | august 14 , 1993 | kristen | none |\n| 22 | 9 | the tale of the full moon | ron oliver | ron oliver | august 21 , 1993 | frank | gordon , the werewolf |\n| 23 | 10 | the tale of the shiny red bicycle | david winning | cassandra schafhausen | august 28 , 1993 | david | none |\n| 24 | 11 | the tale of the magician 's assistant | ron oliver | cassandra schafhausen | september 11 , 1993 | gary | nazrak |\n| 25 | 12 | the tale of the hatching | d j machale | chloe brown | september 25 , 1993 | david | mr and mrs taylor |" + } + ] + }, + { + "id": "table_recognition_train_item_58656", + "image": "table_instructV/images/TabFact_2-16686322-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| name | team | qual 1 | qual 2 | best |\n| --- | --- | --- | --- | --- |\n| paul tracy | forsythe racing | 1:00.870 | 1:02.889 | 1:00.870 |\n| rodolfo lavín | forsythe racing | 1:02.813 | 1:00.908 | 1:00.908 |\n| sébastien bourdais | newman / haas racing | 1:00.974 | 1:01.355 | 1:00.974 |\n| mario domínguez | herdez competition | 1:02.051 | 1:01.168 | 1:01.168 |\n| memo gidley | rocketsports racing | 1:02.071 | 1:01.365 | 1:01.365 |\n| patrick carpentier | forsythe racing | 1:01.398 | 1:01.579 | 1:01.398 |\n| justin wilson | mi - jack conquest racing | 1:02.153 | 1:01.434 | 1:01.434 |\n| bruno junqueira | newman / haas racing | 1:01.459 | 1:05.175 | 1:01.459 |\n| alex tagliani | rocketsports racing | 1:01.539 | 1:03.073 | 1:01.539 |\n| ryan hunter - reay | herdez competition | 1:01.742 | 1:01.566 | 1:01.566 |\n| a j allmendinger | rusport | 1:02.135 | 1:01.588 | 1:01.588 |\n| michel jourdain , jr | rusport | 1:02.463 | 1:01.777 | 1:01.777 |\n| oriol servià | dale coyne racing | 1:01.904 | 1:01.944 | 1:01.904 |\n| mario haberfeld | walker racing | 1:02.712 | 1:01.911 | 1:01.911 |\n| jimmy vasser | pkv racing | 1:02.076 | 1:01.936 | 1:01.936 |\n| roberto gonzález | pkv racing | 1:02.634 | 1:02.163 | 1:02.163 |\n| alex sperafico | mi - jack conquest racing | 1:03.657 | 1:03.347 | 1:03.347 |\n| gastón mazzacane | dale coyne racing | 1:04.520 | 1:03.757 | 1:03.757 |" + } + ] + }, + { + "id": "table_recognition_train_item_61606", + "image": "table_instructV/images/TabFact_1-1852270-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| episode | garfield episode 1 | us acres episode | garfield episode 2 | original airdate |\n| --- | --- | --- | --- | --- |\n| show 106 | the legend of johnny ragweedseed | grape expectations (part 1) | catch as cats can't | september 17 , 1994 |\n| show 107 | a matter of conscience | grape expectations (part 2) | top ten | september 17 , 1994 |\n| show 108 | change of mind | temp trouble | the perfect match | september 24 , 1994 |\n| show 109 | my fair feline | double trouble talk | half - baked alaska | september 24 , 1994 |\n| show 110 | puss in high - tops | egg over easy (part 1) | the beast from beyond | october 1 , 1994 |\n| show 111 | model behavior | egg over easy (part 2) | another ant episode | october 1 , 1994 |\n| show 112 | the guy of her dreams | the discount of monte cristo | the fairy dogmother | october 8 , 1994 |\n| show 113 | the stand - up mouse | daydream doctor | happy garfield day | october 8 , 1994 |\n| show 114 | sit on it | kiddy korner | brainware broadcast | october 15 , 1994 |\n| show 115 | suburban jungle | the thing in the box | the feline philosopher | october 22 , 1994 |\n| show 116 | thoroughly mixed - up mouse | the old man of the mountain | food fighter | october 29 , 1994 |\n| show 117 | the jelly roger | the farmyard feline philosopher | dogmother 2 | november 5 , 1994 |\n| show 118 | alley katta and the 40 thieves | if it 's tuesday this must be alpha centauri | clash of the titans | november 19 , 1994 |\n| show 119 | canned laughter | deja vu | the man who hated cats | november 26 , 1994 |\n| show 120 | the horror hostess (part 1) | newsworthy wade | the horror hostess (part 2) | december 3 , 1994 |" + } + ] + }, + { + "id": "table_recognition_train_item_54786", + "image": "table_instructV/images/TabFact_2-14609917-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | september 1 , 1996 | philadelphia eagles | l 17 - 14 | 53415 |\n| 2 | september 8 , 1996 | chicago bears | w 10 - 3 | 52711 |\n| 3 | september 15 , 1996 | new york giants | w 31 - 10 | 71693 |\n| 4 | september 22 , 1996 | st louis rams | w 17 - 10 | 62303 |\n| 5 | september 29 , 1996 | new york jets | w 31 - 16 | 52068 |\n| 7 | october 13 , 1996 | new england patriots | w 27 - 22 | 59638 |\n| 8 | october 20 , 1996 | new york giants | w 31 - 21 | 52684 |\n| 9 | october 27 , 1996 | indianapolis colts | w 31 - 16 | 54254 |\n| 10 | november 3 , 1996 | buffalo bills | l 38 - 13 | 78002 |\n| 11 | november 10 , 1996 | arizona cardinals | l 37 - 34 ot | 51929 |\n| 12 | november 17 , 1996 | philadelphia eagles | w 26 - 21 | 66834 |\n| 13 | november 24 , 1996 | san francisco 49ers | l 19 - 16 | 54235 |\n| 14 | november 28 , 1996 | dallas cowboys | l 21 - 10 | 64955 |\n| 15 | december 8 , 1996 | tampa bay buccaneers | l 24 - 10 | 44733 |\n| 16 | december 15 , 1996 | arizona cardinals | l 27 - 26 | 34260 |\n| 17 | december 22 , 1996 | dallas cowboys | w 37 - 10 | 56454 |" + } + ] + }, + { + "id": "table_recognition_train_item_106160", + "image": "table_instructV/images/ToTTo_train_table_25872.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Year | Community | Municipal unit |\n| --- | --- | --- |\n| 1991 | | 3,239 |\n| 2001 | 588 | 3,107 |\n| 2011 | 548 | 2,475 |" + } + ] + }, + { + "id": "table_recognition_train_item_56822", + "image": "table_instructV/images/TabFact_2-12498224-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| district | party | religion | former experience | assumed office | born in |\n| --- | --- | --- | --- | --- | --- |\n| american samoa | democratic | mormon | lieutenant governor of american samoa | 1989 | 1943 |\n| district of columbia | democratic | episcopalian | equal employment opportunity commission | 1991 | 1937 |\n| guam | democratic | roman catholic | lieutenant governor of guam | 2003 | 1933 |\n| puerto rico | new progressive party and democratic | roman catholic | attorney general of puerto rico | 2009 | 1959 |\n| united states virgin islands | democratic | moravian | commissioner of health | 1997 | 1945 |\n| northern mariana islands | democratic | roman catholic | election commission director | 2009 | 1955 |" + } + ] + }, + { + "id": "table_recognition_train_item_66190", + "image": "table_instructV/images/TabFact_2-16874249-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| class | team | driver | chassis - engine | laps |\n| --- | --- | --- | --- | --- |\n| c1 | blaupunkt joest racing | klaus ludwig | porsche 956 b | 79 |\n| c1 | silk cut jaguar | eddie cheever | jaguar xjr - 6 | 79 |\n| c1 | silk cut jaguar | derek warwick | jaguar xjr - 6 | 79 |\n| c1 | team memorex ( brun ) | frank jelinski | porsche 962 c | 78 |\n| c1 | sat porsche kremer team | james weaver | porsche 962 c | 78 |\n| c1 | brun motorsport | walter brun | porsche 962 c | 78 |\n| c1 | hans obermaier | jürgen lässig | porsche 956 | 77 |\n| c1 | sachs joest racing | john winter | porsche 956 | 76 |\n| gtp | blaupunkt joest racing | danny ongais | porsche 962 | 76 |\n| c1 | brun motorsport | thierry boutsen | porsche 956 | 76 |\n| c1 | john fitzpatrick racing | derek bell | porsche 956 b | 76 |\n| c1 | sat porsche kremer team | franz konrad | porsche 956 | 73 |\n| c2 | gebhardt racing cars | stanley dickens | gebhardt jc853 - ford | 73 |\n| c1 | ernst schuster | ernst schuster | porsche 936 c | 71 |\n| c1 | porsche ag | hans - joachim stuck | porsche 962 c | 71 |\n| c2 | roy baker racing tiga | thorkild thyrring | tiga gc286 - ford | 70 |\n| c1 | silk cut jaguar | jean - louis schlesser | jaguar xjr - 6 | 67 |\n| c2 | martin schanche racing | martin schanche | argo jm19 - zakspeed | 66 |\n| c2 | roy baker racing tiga | john sheldon | tiga gc285 - ford | 58 |\n| c1 | liqui moly equipe | bob wollek | porsche 956 gti | 60 |\n| c1 | sponsor guest team | bruno giacomelli | lancia lc2 - ferrari | 59 |\n| c1 | cosmik racing | costas los | march 84 g - porsche | 58 |\n| c1 | victor zakspeed team | jochen dauer | zakspeed c1 / 8 - ford | 37 |\n| c1 | derichs rennwagenbau | jan thoelke | zakspeed c1 / 8 - ford | 5 |" + } + ] + }, + { + "id": "table_recognition_train_item_48572", + "image": "table_instructV/images/TAT-QA_b02753dc-a519-4875-a6ac-67cf9d486251.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| | December 31, 2019 | December 31,2018 |\n| --- | --- | --- |\n| Cash on hand and at banks | $77,041 | $131,432 |\n| Short-term deposits and highly liquid funds | 950 | 6,450 |\n| Restricted cash | 736 | 12,892 |\n| Cash and cash equivalents and restricted cash | $78,727 | $150,774 |" + } + ] + }, + { + "id": "table_recognition_train_item_35237", + "image": "table_instructV/images/TABMWP_27510.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Dog | Weight change (oz.) |\n| --- | --- |\n| Sprinkles | 5 |\n| Champ | -6 |" + } + ] + }, + { + "id": "table_recognition_train_item_104825", + "image": "table_instructV/images/ToTTo_train_table_20296.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Mayor | Term |\n| --- | --- |\n| Joseph Coleman | 1806–1809 |\n| Benjamin J. Bradford | 1809–1811 |\n| William Tait | 1811–1814 |\n| Joseph Thorpe Elliston | 1814–1817 |\n| Stephen Cantrell, Jr. | 1817–1817 |\n| Jackson Baker | 1818–1819 |\n| Felix Robertson | 1818–1819 |\n| Thomas Crutcher | 1819–1820 |\n| James Condon | 1820–1821 |\n| John Patton Erwin | 1821–1822 |\n| Robert Brownlee Currey | 1822–1824 |\n| Randal McGavock | 1824–1825 |\n| Wilkins F. Tannehill | 1825–1827 |\n| Felix Robertson | 1827–1829 |\n| William Armstrong | 1829–1833 |\n| John Meredith Bass | 1833–1834 |\n| John Patton Erwin | 1834–1835 |\n| William Nichol | 1835–1837 |\n| Henry Hollingsworth | 1837–1839 |\n| Charles Clay Trabue | 1839–1841 |\n| Samuel Van Dyke Stout | 1841–1842 |\n| Thomas B. Coleman | 1842–1843 |\n| Powhatan W. Maxey | 1843–1845 |\n| John Hugh Smith | 1845–1846 |\n| John A. Goodlett | 1846–1847 |\n| Alexander Allison | 1847–1849 |\n| John McCormick Lea | 1849–1850 |\n| John Hugh Smith | 1850–1853 |\n| Williamson Hartley Horn | 1853–1854 |\n| William Booker Shapard | 1854–1854 |\n| Robert Bell Castleman | 1854–1856 |\n| Andrew Anderson | 1856–1857 |\n| John A. McEwen | 1857–1858 |\n| Randal William McGavock | 1858–1859 |\n| Samuel N. Hollingsworth | 1859–1860 |" + } + ] + }, + { + "id": "table_recognition_train_item_103069", + "image": "table_instructV/images/ToTTo_train_table_12856.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Rank | English title | Chinese title | Average | Peak | Premiere week | Final week | HK viewers (millions) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | Moonlight Resonance | 溏心風暴之家好月圓 | 35 | 50 | 33 | 38 | 2.20 |\n| 2 | D.I.E. | 古靈精探 | 34 | 42 | 32 | 37 | 2.13 |\n| 3 | Wars of In-Laws II | 野蠻奶奶大戰戈師奶 | 33 | 41 | 33 | 32 | 2.07 |\n| 4 | Forensic Heroes II | 法證先鋒II | 32 | 37 | 33 | 34 | 2.01 |\n| 5 | Catch Me Now | 原來愛上賊 | 32 | 38 | 31 | 33 | 2.01 |\n| 6 | The Silver Chamber of Sorrows | 銀樓金粉 | 31 | 40 | 29 | 34 | 1.95 |\n| 7 | Love Exchange | 疑情別戀 | 30 | 35 | 28 | 32 | 1.88 |\n| 8 | Survivor's Law II | 律政新人王Ⅱ | 30 | 37 | 26 | 31 | 1.88 |\n| 9 | A Journey Called Life | 金石良缘 | 30 | 35 | 28 | 32 | 1.88 |\n| 10 | When a Dog Loves a Cat | 當狗愛上貓 | 30 | 35 | 29 | 30 | 1.88 |" + } + ] + }, + { + "id": "table_recognition_train_item_116143", + "image": "table_instructV/images/Rotowire_train_table_2414.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pacers | Indiana | 97 | 17 | 30 | 25 | 25 | 16 | 44 | 7 | 43 | 87 | 40 | 2 | 6 | | | | |\n| Jazz | Utah | 86 | 20 | 21 | 28 | 17 | 18 | 37 | 11 | 43 | 76 | 29 | 3 | 5 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| Roy Hibbert | 33 | 29 | 5 | 1 | 11-21 | 52% | 0-0 | 0% | 7-7 | 100% | 1 | 0 | 1 | 3 | 2 | 2 | C | Indiana |\n| A.J. Price | 25 | 22 | 1 | 1 | 8-12 | 67% | 3-4 | 75% | 3-4 | 75% | 0 | 2 | 0 | 0 | 1 | 1 | N/A | Indiana |\n| Solomon Hill | 37 | 13 | 3 | 2 | 5-12 | 42% | 0-1 | 0% | 3-4 | 75% | 1 | 1 | 0 | 1 | 2 | 2 | G | Indiana |\n| Lavoy Allen | 27 | 12 | 15 | 3 | 6-12 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 6 | 9 | 3 | N/A | Indiana |\n| Luis Scola | 25 | 8 | 8 | 3 | 4-10 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 7 | 2 | F | Indiana |\n| Chris Copeland | 26 | 6 | 3 | 0 | 2-6 | 33% | 2-3 | 67% | 0-0 | 0% | 0 | 1 | 0 | 1 | 2 | 3 | F | Indiana |\n| Damjan Rudez | 29 | 3 | 2 | 2 | 1-6 | 17% | 1-4 | 25% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Indiana |\n| Ian Mahinmi | 10 | 2 | 4 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 3 | 3 | N/A | Indiana |\n| Donald Sloan | 29 | 2 | 3 | 3 | 1-9 | 11% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 1 | G | Indiana |\n| David West | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Shayne Whittington | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| CJ Miles | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Rodney Stuckey | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Jazz | | | | | | | | | | | | | | | | | | |\n| Gordon Hayward | 36 | 30 | 8 | 5 | 11-15 | 73% | 2-3 | 67% | 6-6 | 100% | 0 | 2 | 1 | 0 | 8 | 1 | F | Utah |\n| Enes Kanter | 25 | 18 | 3 | 0 | 7-8 | 88% | 1-2 | 50% | 3-3 | 100% | 0 | 5 | 2 | 0 | 3 | 2 | C | Utah |\n| Derrick Favors | 35 | 13 | 8 | 1 | 5-13 | 39% | 0-0 | 0% | 3-6 | 50% | 0 | 0 | 2 | 1 | 7 | 4 | F | Utah |\n| Alec Burks | 38 | 9 | 4 | 1 | 4-13 | 31% | 0-1 | 0% | 1-1 | 100% | 1 | 1 | 0 | 1 | 3 | 2 | G | Utah |\n| Trey Burke | 36 | 5 | 2 | 8 | 2-12 | 17% | 1-8 | 13% | 0-0 | 0% | 2 | 0 | 0 | 0 | 2 | 1 | G | Utah |\n| Dante Exum | 19 | 3 | 4 | 0 | 1-5 | 20% | 1-4 | 25% | 0-0 | 0% | 1 | 0 | 0 | 1 | 3 | 3 | N/A | Utah |\n| Rudy Gobert | 13 | 3 | 5 | 0 | 0-1 | 0% | 0-0 | 0% | 3-4 | 75% | 0 | 1 | 1 | 1 | 4 | 3 | N/A | Utah |\n| Joe Ingles | 15 | 3 | 1 | 1 | 1-3 | 33% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Utah |\n| Trevor Booker | 22 | 2 | 2 | 2 | 1-4 | 25% | 0-0 | 0% | 0-1 | 0% | 1 | 2 | 0 | 1 | 1 | 2 | N/A | Utah |\n| Jeremy Evans | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Utah |\n| Steve Novak | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Utah |\n| Ian Clark | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Toure' Murry | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |" + } + ] + }, + { + "id": "table_recognition_train_item_69370", + "image": "table_instructV/images/TabFact_2-1181703-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| tournament | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | career sr |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| australian open | a | 1r | 1r | 3r | 1r | 2r | 2r | 1r | 1r | 3r | 0 / 9 |\n| french open | a | a | 1r | 4r | 2r | 1r | 1r | 1r | 1r | a | 0 / 7 |\n| wimbledon | a | 4r | 1r | 1r | 4r | 2r | 1r | 2r | 1r | 3r | 0 / 9 |\n| us open | 2r | 2r | 4r | 1r | 1r | 1r | 1r | 1r | a | a | 0 / 8 |\n| grand slam sr | 0 / 1 | 0 / 3 | 0 / 4 | 0 / 4 | 0 / 4 | 0 / 4 | 0 / 4 | 0 / 4 | 0 / 3 | 0 / 2 | 0 / 33 |" + } + ] + }, + { + "id": "table_recognition_train_item_51422", + "image": "table_instructV/images/TAT-QA_ac6aec12-adcb-4b8d-9541-f404fab15068.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Options | Number of Options (in Millions) | Weighted Average Exercise Price | Average Remaining Contractual Term (Years) | Aggregate Intrinsic Value (in Millions) |\n| --- | --- | --- | --- | --- |\n| Outstanding at May 27, 2018 | 5.1 | $28.11 | | |\n| Exercised | (0.6) | $20.75 | | $7.9 |\n| Expired | (0.1) | $29.84 | | |\n| Outstanding at May 26, 2019 | 4.4 | $29.00 | 5.47 | $9.9 |\n| Exercisable at May 26, 2019 | 4.1 | $28.38 | 5.32 | $9.9 |" + } + ] + }, + { + "id": "table_recognition_train_item_35183", + "image": "table_instructV/images/TABMWP_25655.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Number of coat racks | Number of jackets |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_35350", + "image": "table_instructV/images/TABMWP_30956.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Dog | Weight change (oz.) |\n| --- | --- |\n| Sprinkles | 5 |\n| Champ | -6 |" + } + ] + }, + { + "id": "table_recognition_train_item_52170", + "image": "table_instructV/images/TabFact_2-17245565-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| place | player | country | score | to par | money |\n| --- | --- | --- | --- | --- | --- |\n| t1 | lee trevino | united states | 70 + 72 + 69 + 69 = 280 | e | playoff |\n| t1 | jack nicklaus | united states | 69 + 72 + 68 + 71 = 280 | e | playoff |\n| t3 | jim colbert | united states | 69 + 69 + 73 + 71 = 282 | + 2 | 9000 |\n| t3 | bob rosburg | united states | 71 + 72 + 70 + 69 = 282 | + 2 | 9000 |\n| t5 | george archer | united states | 71 + 70 + 70 + 72 = 283 | + 3 | 6500 |\n| t5 | johnny miller | united states | 70 + 73 + 70 + 70 = 283 | + 3 | 6500 |\n| t5 | jim simons (a) | united states | 71 + 71 + 65 + 76 = 283 | + 3 | 0 |\n| 8 | raymond floyd | united states | 71 + 75 + 67 + 71 = 284 | + 4 | 5000 |\n| t9 | gay brewer | united states | 70 + 70 + 73 + 72 = 285 | + 5 | 3325 |\n| t9 | larry hinson | united states | 71 + 71 + 70 + 73 = 285 | + 5 | 3325 |\n| t9 | bobby nichols | united states | 69 + 72 + 69 + 75 = 285 | + 5 | 3325 |\n| t9 | bert yancey | united states | 75 + 69 + 69 + 72 = 285 | + 5 | 3325 |" + } + ] + }, + { + "id": "table_recognition_train_item_53816", + "image": "table_instructV/images/TabFact_2-13990653-9.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| date | opponent | score | loss | save |\n| --- | --- | --- | --- | --- |\n| 10 / 2 | brother elephants | 8 - 2 | joey dawley | ||1388 |\n| 10 / 3 | brother elephants | 3 - 7 | brian reith | todd moser |\n| 10 / 5 | macoto cobras | 12 - 11 | andy van hekken | tsai shih - chin |\n| 10 / 8 | la new bears | 10 - 2 | hsu yu - wei | ||1548 |\n| 10 / 9 | la new bears | 4 - 15 | pete munro | ||3073 |\n| 10 / 10 | la new bears | 1 - 4 | brian reith | mac suzuki |" + } + ] + }, + { + "id": "table_recognition_train_item_34835", + "image": "table_instructV/images/TABMWP_14941.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Number of trains | Number of cars |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | 20 |\n| 5 | 25 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_111471", + "image": "table_instructV/images/Rotowire_train_table_78.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Knicks | New York | 99 | 22 | 31 | 25 | 21 | 22 | 34 | 4 | 49 | 77 | 44 | 6 | 36 | | | | |\n| Pelicans | New Orleans | 92 | 16 | 25 | 24 | 27 | 13 | 50 | 9 | 42 | 70 | 30 | 20 | 21 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Knicks | | | | | | | | | | | | | | | | | | |\n| Carmelo Anthony | 36 | 24 | 9 | 3 | 7-15 | 47% | 3-5 | 60% | 7-11 | 64% | 1 | 1 | 2 | 1 | 8 | 1 | F | New York |\n| Langston Galloway | 31 | 21 | 5 | 3 | 8-14 | 57% | 3-6 | 50% | 2-2 | 100% | 0 | 2 | 0 | 2 | 3 | 3 | G | New York |\n| Amar'e Stoudemire | 21 | 14 | 6 | 1 | 6-9 | 67% | 0-1 | 0% | 2-2 | 100% | 0 | 0 | 1 | 2 | 4 | 2 | N/A | New York |\n| Jason Smith | 38 | 12 | 3 | 6 | 6-9 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 2 | 2 | 1 | 1 | C | New York |\n| Tim Hardaway Jr. | 27 | 11 | 3 | 2 | 4-7 | 57% | 3-6 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 3 | N/A | New York |\n| Jose Calderon | 23 | 5 | 1 | 1 | 2-10 | 20% | 1-5 | 20% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | G | New York |\n| Shane Larkin | 15 | 4 | 1 | 4 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | New York |\n| Lance Thomas | 22 | 4 | 3 | 1 | 1-4 | 25% | 0-0 | 0% | 2-2 | 100% | 1 | 0 | 1 | 1 | 2 | 0 | N/A | New York |\n| Lou Amundson | 24 | 4 | 3 | 1 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 2 | 1 | 2 | 1 | F | New York |\n| Travis Wear | 4 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | New York |\n| Cole Aldrich | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Pablo Prigioni | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Quincy Acy | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Pelicans | | | | | | | | | | | | | | | | | | |\n| Tyreke Evans | 41 | 23 | 9 | 3 | 9-20 | 45% | 2-4 | 50% | 3-4 | 75% | 1 | 3 | 0 | 3 | 6 | 1 | G | New Orleans |\n| Eric Gordon | 37 | 20 | 1 | 5 | 7-15 | 47% | 2-6 | 33% | 4-4 | 100% | 0 | 2 | 0 | 0 | 1 | 4 | G | New Orleans |\n| Ryan Anderson | 37 | 11 | 1 | 0 | 4-17 | 24% | 3-13 | 23% | 0-0 | 0% | 0 | 2 | 1 | 0 | 1 | 0 | F | New Orleans |\n| Omer Asik | 27 | 11 | 17 | 0 | 5-8 | 63% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 6 | 11 | 1 | C | New Orleans |\n| Quincy Pondexter | 26 | 10 | 3 | 0 | 3-5 | 60% | 1-3 | 33% | 3-3 | 100% | 0 | 0 | 0 | 1 | 2 | 3 | N/A | New Orleans |\n| Alexis Ajinca | 26 | 8 | 11 | 1 | 3-8 | 38% | 0-0 | 0% | 2-5 | 40% | 0 | 1 | 0 | 6 | 5 | 2 | N/A | New Orleans |\n| Jimmer Fredette | 10 | 6 | 2 | 2 | 3-5 | 60% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 1 | N/A | New Orleans |\n| Dante Cunningham | 23 | 2 | 4 | 2 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 3 | 4 | F | New Orleans |\n| Jeff Withey | 3 | 1 | 2 | 0 | 0-2 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 2 | 0 | 1 | N/A | New Orleans |\n| Nate Wolters | 8 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | New Orleans |\n| Luke Babbitt | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | New Orleans |\n| Anthony Davis | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| John Salmons | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |" + } + ] + }, + { + "id": "table_recognition_train_item_106302", + "image": "table_instructV/images/ToTTo_train_table_26526.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Year | Format | Association | Category | Nominated work | Result |\n| --- | --- | --- | --- | --- | --- |\n| 2009 | Television | RTS North West Awards | Best Performance in a Comedy | Massive | Won |" + } + ] + }, + { + "id": "table_recognition_train_item_113077", + "image": "table_instructV/images/Rotowire_train_table_881.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Timberwolves | Minnesota | 107 | 31 | 27 | 24 | 25 | 26 | 50 | 12 | 49 | 90 | 25 | 26 | 37 | | | | |\n| Clippers | LA | 91 | 19 | 36 | 13 | 23 | 18 | 36 | 16 | 42 | 67 | 38 | 38 | 26 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Karl-Anthony Towns | 35 | 29 | 14 | 2 | 14-21 | 67% | 1-5 | 20% | 0-0 | 0% | 0 | 1 | 0 | 4 | 10 | 3 | C | Minnesota |\n| Andrew Wiggins | 36 | 20 | 2 | 3 | 5-17 | 29% | 0-3 | 0% | 10-10 | 100% | 1 | 1 | 0 | 1 | 1 | 1 | F | Minnesota |\n| Shabazz Muhammad | 26 | 17 | 6 | 0 | 7-13 | 54% | 0-1 | 0% | 3-4 | 75% | 1 | 3 | 0 | 3 | 3 | 1 | G | Minnesota |\n| Ricky Rubio | 33 | 15 | 6 | 12 | 5-12 | 42% | 1-5 | 20% | 4-4 | 100% | 2 | 2 | 0 | 0 | 6 | 5 | G | Minnesota |\n| Kris Dunn | 15 | 8 | 1 | 2 | 3-5 | 60% | 2-2 | 100% | 0-0 | 0% | 1 | 0 | 1 | 0 | 1 | 5 | N/A | Minnesota |\n| Tyus Jones | 18 | 7 | 2 | 3 | 3-4 | 75% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | Minnesota |\n| Gorgui Dieng | 39 | 7 | 9 | 2 | 3-6 | 50% | 0-0 | 0% | 1-2 | 50% | 4 | 1 | 2 | 3 | 6 | 3 | F | Minnesota |\n| Lance Stephenson | 16 | 4 | 3 | 2 | 2-4 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 3 | 0 | N/A | Minnesota |\n| Cole Aldrich | 3 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 1 | N/A | Minnesota |\n| Nemanja Bjelica | 19 | 0 | 5 | 0 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 1 | 2 | 3 | 3 | N/A | Minnesota |\n| Adreian Payne | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Brandon Rush | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Jordan Hill | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Clippers | | | | | | | | | | | | | | | | | | |\n| DeAndre Jordan | 30 | 20 | 13 | 1 | 9-11 | 82% | 0-0 | 0% | 2-5 | 40% | 0 | 0 | 1 | 5 | 8 | 4 | C | LA |\n| Blake Griffin | 36 | 16 | 4 | 2 | 5-11 | 46% | 2-4 | 50% | 4-4 | 100% | 0 | 6 | 0 | 0 | 4 | 4 | F | LA |\n| JJ Redick | 26 | 14 | 1 | 1 | 6-14 | 43% | 2-5 | 40% | 0-0 | 0% | 2 | 1 | 1 | 0 | 1 | 0 | G | LA |\n| Marreese Speights | 15 | 12 | 7 | 0 | 5-10 | 50% | 2-4 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 7 | 1 | N/A | LA |\n| Austin Rivers | 29 | 10 | 2 | 3 | 3-10 | 30% | 2-4 | 50% | 2-3 | 67% | 0 | 1 | 1 | 0 | 2 | 2 | N/A | LA |\n| Chris Paul | 32 | 7 | 3 | 10 | 3-9 | 33% | 1-4 | 25% | 0-1 | 0% | 1 | 3 | 0 | 1 | 2 | 2 | G | LA |\n| Jamal Crawford | 24 | 7 | 1 | 0 | 2-9 | 22% | 0-3 | 0% | 3-3 | 100% | 3 | 3 | 0 | 1 | 0 | 2 | N/A | LA |\n| Luc Mbah a Moute | 16 | 2 | 0 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | F | LA |\n| Raymond Felton | 16 | 2 | 0 | 1 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 0 | 0 | 2 | N/A | LA |\n| Brandon Bass | 7 | 1 | 4 | 0 | 0-4 | 0% | 0-0 | 0% | 1-2 | 50% | 1 | 0 | 0 | 3 | 1 | 1 | N/A | LA |\n| Wesley Johnson | 7 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | LA |\n| Alan Anderson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |\n| Paul Pierce | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |" + } + ] + }, + { + "id": "table_recognition_train_item_70078", + "image": "table_instructV/images/TabFact_2-13227897-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| match | date | location | lineup | result | competition |\n| --- | --- | --- | --- | --- | --- |\n| sweden 1995 fifa women 's world cup | sweden 1995 fifa women 's world cup | sweden 1995 fifa women 's world cup | sweden 1995 fifa women 's world cup | sweden 1995 fifa women 's world cup | sweden 1995 fifa women 's world cup |\n| 1 | 1995 - 06 - 05 | karlstad | start | 0 - 1 l | group stage |\n| 2 | 1995 - 06 - 07 | karlstad | start | 2 - 1 w | group stage |\n| 3 | 1995 - 06 - 09 | vasteras | off 76' ( on etsuko handa) | 0 - 2 l | group stage |\n| atlanta 1996 women 's olympic football tournament | atlanta 1996 women 's olympic football tournament | atlanta 1996 women 's olympic football tournament | atlanta 1996 women 's olympic football tournament | atlanta 1996 women 's olympic football tournament | atlanta 1996 women 's olympic football tournament |\n| 4 | 1996 - 07 - 21 | birmingham , al | start | 2 - 3 l | group stage |\n| 5 | 1996 - 07 - 23 | birmingham , al | start | 0 - 2 l | group stage |\n| 6 | 1996 - 07 - 25 | washington , dc | start | 0 - 4 l | group stage |\n| usa 1999 fifa women 's world cup | | usa 1999 fifa women 's world cup | | usa 1999 fifa women 's world cup | | usa 1999 fifa women 's world cup | | usa 1999 fifa women 's world cup | | usa 1999 fifa women 's world cup | |\n| 7 | 1999 - 06 - 19 | san jose , ca | start | 1 - 1 d | group stage |\n| 8 | 1999 - 06 - 23 | portland , or | start | 0 - 5 l | group stage |\n| 9 | 1999 - 06 - 26 | chicago | start | 0 - 4 l | group stage |\n| usa 2003 fifa women 's world cup | usa 2003 fifa women 's world cup | usa 2003 fifa women 's world cup | usa 2003 fifa women 's world cup | usa 2003 fifa women 's world cup | usa 2003 fifa women 's world cup |\n| 10 | 2003 - 09 - 20 | columbus , oh | off 80' ( on maruyama ) | 6 - 0 w | group stage |\n| 11 | 2003 - 09 - 24 | columbus , oh | start | 0 - 3 l | group stage |\n| 12 | 2003 - 09 - 27 | foxboro , ma | start | 1 - 3 l | group stage |\n| athens 2004 women 's olympic football tournament | athens 2004 women 's olympic football tournament | athens 2004 women 's olympic football tournament | athens 2004 women 's olympic football tournament | athens 2004 women 's olympic football tournament | athens 2004 women 's olympic football tournament |\n| 13 | 2004 - 08 - 11 | volos | start | 1 - 0 w | group stage |\n| 14 | 2004 - 08 - 14 | piraeus | start | 0 - 1 l | group stage |\n| 15 | 2004 - 08 - 20 | thessaloniki | start | 1 - 2 l | quarter - final |\n| china 2007 fifa women 's world cup | china 2007 fifa women 's world cup | china 2007 fifa women 's world cup | china 2007 fifa women 's world cup | china 2007 fifa women 's world cup | china 2007 fifa women 's world cup |\n| 16 | 2007 - 09 - 11 | shanghai | start | 2 - 2 d | group stage |\n| 17 | 2007 - 09 - 14 | shanghai | start | 1 - 0 w | group stage |\n| 18 | 2007 - 09 - 17 | hangzhou | start | 0 - 2 l | group stage |\n| beijing 2008 women 's olympic football tournament | beijing 2008 women 's olympic football tournament | beijing 2008 women 's olympic football tournament | beijing 2008 women 's olympic football tournament | beijing 2008 women 's olympic football tournament | beijing 2008 women 's olympic football tournament |\n| 19 | 2008 - 08 - 06 | qinhuangdao | start , ( c ) | 2 - 2 d | group stage |\n| 20 | 2008 - 08 - 09 | qinhuangdao | start | 0 - 1 l | group stage |\n| 21 | 2008 - 08 - 12 | shanghai | start | 5 - 1 w | group stage |\n| 22 | 2008 - 08 - 15 | qinhuangdao | start | 2 - 0 w | quarter - final |\n| 23 | 2008 - 08 - 18 | beijing | start | 2 - 4 l | semifinal |\n| 24 | 2008 - 08 - 21 | beijing | start | 0 - 2 l | bronze medal match |\n| germay 2011 fifa women 's world cup | germay 2011 fifa women 's world cup | germay 2011 fifa women 's world cup | germay 2011 fifa women 's world cup | germay 2011 fifa women 's world cup | germay 2011 fifa women 's world cup |\n| 25 | 2011 - 06 - 27 | bochum | start , ( c ) | 2 - 1 w | group stage |\n| 26 | 2011 - 07 - 01 | leverkusen | off 83' ( on utsugi ) , ( c ) | 4 - 0 w | group stage |\n| 27 | 2011 - 07 - 05 | augsburg | start , ( c ) | 0 - 2 l | group stage |\n| 28 | 2011 - 07 - 09 | wolfsburg | start , ( c ) | 1 - 0 aet w | quarter - final |\n| 29 | 2011 - 07 - 13 | frankfurt | start , ( c ) | 3 - 1 w | semifinal |\n| 30 | 2011 - 07 - 17 | frankfurt | start , ( c ) | 2 - 2 (pso 3 - 1) ( w ) | final |\n| london 2012 women 's olympic football tournament | london 2012 women 's olympic football tournament | london 2012 women 's olympic football tournament | london 2012 women 's olympic football tournament | london 2012 women 's olympic football tournament | london 2012 women 's olympic football tournament |\n| 31 | 2012 - 07 - 25 | coventry | start | 2 - 1 w | group stage |\n| 32 | 2012 - 07 - 28 | coventry | off 59' ( on tanaka ) | 0 - 0 d | group stage |\n| 33 | 2012 - 08 - 03 | cardiff | start | 2 - 0 w | quarter - final |\n| 34 | 2012 - 08 - 06 | london | start | 2 - 1 w | semifinal |\n| 35 | 2012 - 08 - 09 | london | start | 1 - 2 l | gold medal match |" + } + ] + }, + { + "id": "table_recognition_train_item_54750", + "image": "table_instructV/images/TabFact_2-18662048-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| position | gymnast | a score | b score | total |\n| --- | --- | --- | --- | --- |\n| 1 | yang yilin ( chn ) | 7.700 | 8.950 | 16.650 |\n| 2 | ksenia semenova ( rus ) | 7.400 | 9.075 | 16.475 |\n| 3 | anastasia koval ( ukr ) | 7.300 | 9.025 | 16.325 |\n| 4 | steliana nistor ( rou ) | 7.300 | 8.675 | 15.975 |\n| 5 | nastia liukin ( usa ) | 7.700 | 8.250 | 15.950 |\n| 6 | he kexin ( chn ) | 7.500 | 8.225 | 15.725 |\n| 7 | dariya zgoba ( ukr ) | 6.900 | 8.875 | 15.675 |\n| 8 | beth tweddle ( gbr ) | 7.600 | 8.050 | 15.650 |" + } + ] + }, + { + "id": "table_recognition_train_item_35205", + "image": "table_instructV/images/TABMWP_26369.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 5 | 0 |\n| 8 | 3 |\n| 15 | 14 |" + } + ] + }, + { + "id": "table_recognition_train_item_65536", + "image": "table_instructV/images/TabFact_2-11390711-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| english name | japanese orthography | pronouciation | abbreviation | provider (national government) | foundation |\n| --- | --- | --- | --- | --- | --- |\n| japan coast guard academy | 海上保安大学校 | kaijō hoan daigakkō | jcga | japan coast guard | 1951 |\n| national college of nursing ( ko ) | 国立看護大学校 | kokuritsu kango daigakkō | ncn | national center for global health and medicine | 2001 |\n| national defense academy of japan | 防衛大学校 | bōei daigakkō | nda bōei - dai (防衛大) | ministry of defense | 1952 |\n| national defense medical college | 防衛医科大学校 | bōei ika daigakkō | ndmc | ministry of defense | 1973 |\n| meteorological college | 気象大学校 | kishō daigakkō | mc ki - dai , kidaikō | japan meteorological agency | 1922 |" + } + ] + }, + { + "id": "table_recognition_train_item_103952", + "image": "table_instructV/images/ToTTo_train_table_16460.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| # | Date | Competition | Venue | Home Team | Score | Away Team | Goalscorers | Attendance |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1. | May 12, 1996 | MLS | RFK Stadium | D.C. United | 1–1* | Metrostars | (H) Harkes (A) Savarese | 14,722 |\n| 2. | May 30, 1996 | MLS | Giants Stadium | Metrostars | 1–2 | D.C. United | (H) Wood (A) Rammel, Sanneh | 25,322 |\n| 3. | August 21, 1996 | MLS | Giants Stadium | Metrostars | 2–3 | D.C. United | (H) de Ávila (2) (A) Williams, Etcheverry, Díaz Arce | 20,416 |\n| 4. | September 6, 1996 | MLS | RFK Stadium | D.C. United | 1–2 | Metrostars | (H) Sanneh (A) de Ávila, Joseph | 8,053 |\n| 5. | September 24, 1996 | MLS Playoffs | Giants Stadium | Metrostars | 2–2* | D.C. United | (H) de Ávila, Savarese (A) Díaz Arce, Moreno | 14,416 |\n| 6. | September 27, 1996 | MLS Playoffs | RFK Stadium | D.C. United | 1–0 | Metrostars | (H) Etcheverry (A) | 21,442 |\n| 7. | October 2, 1996 | MLS Playoffs | RFK Stadium | D.C. United | 2–1 | Metrostars | (H) Rammel, Díaz Arce (A) de Ávila | 20,423 |\n| 8. | April 5, 1997 | MLS | RFK Stadium | D.C. United | 2–1 | Metrostars | (H) Pope, Moreno (A) de Ávila | 28,749 |\n| 9. | April 19, 1997 | MLS | Giants Stadium | Metrostars | 1–2 | D.C. United | (H) Savarese (A) Díaz Arce, Moreno | 26,322 |\n| 10. | July 27, 1997 | MLS | Giants Stadium | Metrostars | 2–1 | D.C. United | (H) Savarese, de Ávila (A) Harkes | 20,104 |\n| 11. | September 28, 1997 | MLS | RFK Stadium | D.C. United | 1–3 | Metrostars | (H) Moreno (A) Kelly, Savarese, Joseph | 9,686 |\n| 12. | May 9, 1998 | MLS | RFK Stadium | D.C. United | 2–0 | Metrostars | (H) Etcheverry, Lassiter (A) | 17,027 |\n| 13. | May 16, 1998 | MLS | Giants Stadium | Metrostars | 4–3 | D.C. United | (H) Savarese (2), Rooney, Hurtado (A) Sanneh, Lassiter, Moreno | 15,322 |\n| 14. | August 22, 1998 | MLS | RFK Stadium | D.C. United | 2–1 | Metrostars | (H) Moreno, Etcheverry (A) Soñora | 16,729 |\n| 15. | September 16, 1998 | MLS | Giants Stadium | Metrostars | 0–5 | D.C. United | (H) Lassiter, Moreno, Olsen, Harty (own goal), Wood (A) | 14,117 |\n| 16. | April 3, 1999 | MLS | Giants Stadium | Metrostars | 0–1 | D.C. United | (H) (A) Lassiter | 20,978 |\n| 17. | May 8, 1999 | MLS | RFK Stadium | D.C. United | 2–1 | Metrostars | (H) Lassiter, Moreno (A) Kalonji | 15,499 |\n| 18. | August 11, 1999 | MLS | Giants Stadium | Metrostars | 1–4 | D.C. United | (H) Ćurčić (A) Talley, Moreno, Olsen, Wood | 6,876 |\n| 19. | September 18, 1999 | MLS | RFK Stadium | D.C. United | 1–1* | Metrostars | (H) Moreno (A) Villegas | 21,463 |\n| 20. | April 1, 2000 | MLS | Giants Stadium | Metrostars | 3–2 | D.C. United | (H) Comas, Kelly, Valencia (A) Moreno, Agoos | 27,322 |\n| 21. | April 22, 2000 | MLS | RFK Stadium | D.C. United | 2–3 | Metrostars | (H) Perez (own goal), Etcheverry (A) Agoos (own goal), Villegas, Petke | 14,985 |\n| 22. | June 21, 2000 | MLS | Giants Stadium | Metrostars | 2–2 | D.C. United | (H) Mathis, Ramos (A) Albright, Moreno | 10,316 |\n| 23. | August 2, 2000 | MLS | RFK Stadium | D.C. United | 3–2 | Metrostars | (H) Díaz Arce, Moreno, Wood (A) Valencia, Walsh | 13,801 |\n| 24. | May 5, 2001 | MLS | Giants Stadium | Metrostars | 2–1 | D.C. United | (H) Mathis, Faria, Villegas (A) Moreno (2) | 20,877 |\n| 25. | June 13, 2001 | MLS | RFK Stadium | D.C. United | 2–1 | Metrostars | (H) Conteh, Moreno (A) Faria | 11,581 |\n| 26. | July 21, 2001 | MLS | Giants Stadium | Metrostars | 2–1 | D.C. United | (H) Walsh, Talley (own goal) (A) Talley | 32,723 |\n| 27. | August 15, 2001 | MLS | RFK Stadium | D.C. United | 1–2 | Metrostars | (H) Lisi (A) Faria, Chung | 11,618 |\n| 28. | May 18, 2002 | MLS | RFK Stadium | D.C. United | 4–2 | Metrostars | (H) Moreno (2), Villegas, Etcheverry (A) Faria, Lisi | 20,105 |\n| 29. | August 25, 2002 | MLS | Giants Stadium | Metrostars | 1–0 | D.C. United | (H) Mathis (A) | 20,447 |\n| 30. | September 12, 2002 | MLS | Giants Stadium | Metrostars | 0–1 | D.C. United | (H) (A) Etcheverry | 14,585 |\n| 31. | September 14, 2002 | MLS | RFK Stadium | D.C. United | 2–1 | Metrostars | (H) Convey, Curtis (A) Faria | 17,677 |\n| 32. | May 10, 2003 | MLS | Giants Stadium | Metrostars | 1–0 | D.C. United | (H) Mathis (A) | 17,934 |\n| 33. | July 5, 2003 | MLS | RFK Stadium | D.C. United | 2–3 | Metrostars | (H) Etcheverry, Kovalenko (A) Moreno, Clark, Gaven | 13,715 |\n| 34. | September 25, 2003 | MLS | Giants Stadium | Metrostars | 0–2 | D.C. United | (H) (A) Olsen, Cerritos | 8,077 |\n| 35. | September 28, 2003 | MLS | RFK Stadium | D.C. United | 1–1 | Metrostars | (H) Etcheverry (A) Magee | 13,521 |\n| 36. | October 1, 2003 | Open Cup | Yurcak Field | Metrostars | 3–2 | D.C. United | (H) Guevara (2), Wolyniec (A) Ivanov, Cerritos | 3,791 |\n| 37. | April 17, 2004 | MLS | Giants Stadium | Metrostars | 3–2 | D.C. United | (H) Taylor (2), Wolyniec (A) Olsen, Adu | 31,419 |\n| 38. | July 3, 2004 | MLS | RFK Stadium | D.C. United | 6–2 | Metrostars | (H) Nelsen, Moreno, Eskandarian (2), Stewart, Olsen (A) Gaven, Taylor | 16,177 |\n| 39. | October 2, 2004 | MLS | Giants Stadium | Metrostars | 0–1 | D.C. United | (H) (A) Adu | 32,864 |\n| 40. | October 17, 2004 | MLS | RFK Stadium | D.C. United | 3–2 | Metrostars | (H) Gómez (2), Petke (A) Wolyniec, Clark | 19,832 |\n| 41. | October 23, 2004 | MLS Playoffs | Giants Stadium | Metrostars | 0–2 | D.C. United | (H) (A) Stewart, Eskandarian | 11,161 |\n| 42. | October 30, 2004 | MLS Playoffs | RFK Stadium | D.C. United | 2–0 | Metrostars | (H) Moreno, Namoff (A) | 15,763 |\n| 43. | June 12, 2005 | MLS | Giants Stadium | Metrostars | 0–0 | D.C. United | (H) (A) | 15,125 |\n| 44. | August 10, 2005 | MLS | RFK Stadium | D.C. United | 3–0 | Metrostars | (H) Boswell, Kovalenko, Gros (A) | 11,883 |\n| 45. | October 1, 2005 | MLS | Giants Stadium | Metrostars | 1–4 | D.C. United | (H) Magee (A) Agoos (own goal), Olsen (2), Moreno | 27,670 |\n| 46. | October 8, 2005 | MLS | RFK Stadium | D.C. United | 1–2 | Metrostars | (H) Moreno (A) Galván Rey, Djorkaeff | 18,751 |\n| 47. | April 2, 2006 | MLS | RFK Stadium | D.C. United | 2–2 | New York Red Bulls | (H) Eskandarian, Erpen (A) Djorkaeff, Buddle | 23,028 |\n| 48. | April 22, 2006 | MLS | Giants Stadium | New York Red Bulls | 1–4 | D.C. United | (H) Djorkaeff (A) Eskandarian (2), Erpen, Walker | 8,475 |\n| 49. | August 12, 2006 | MLS | Giants Stadium | New York Red Bulls | 0–0 | D.C. United | (H) (A) | 11,230 |\n| 50. | August 23, 2006 | Open Cup | RFK Stadium | D.C. United | 3–1 | New York Red Bulls | (H) Gros, Walker (A) Guevara | 8,637 |\n| 51. | September 23, 2006 | MLS | RFK Stadium | D.C. United | 4–3 | New York Red Bulls | (H) Mendes (own goal), Gómez, Moreno, Donnet (A) Guevara (2), Altidore | 21,727 |\n| 52. | October 21, 2006 | MLS Playoffs | Giants Stadium | New York Red Bulls | 0–1 | D.C. United | (H) (A) Gómez | 8,630 |\n| 53. | October 29, 2006 | MLS Playoffs | RFK Stadium | D.C. United | 1–1 | New York Red Bulls | (H) Gómez (A) Altidore | 21,455 |\n| 54. | June 10, 2007 | MLS | RFK Stadium | D.C. United | 4–2 | New York Red Bulls | (H) Olsen (3), Emílio (A) Kovalenko Ángel | 18,066 |\n| 55. | July 22, 2007 | MLS | Giants Stadium | New York Red Bulls | 1–0 | D.C. United | (H) Wolyniec (A) | 14,705 |\n| 56. | August 22, 2007 | MLS | RFK Stadium | D.C. United | 3–1 | New York Red Bulls | (H) Olsen, Gómez, Moreno (A) Ángel | 18,748 |\n| 57. | June 14, 2008 | MLS | RFK Stadium | D.C. United | 4–1 | New York Red Bulls | (H) Emílio (3) Simms (A) van den Bergh | 18,622 |\n| 58. | August 10, 2008 | MLS | Giants Stadium | New York Red Bulls | 4–1 | D.C. United | (H) Ángel (2), Magee, Ubiparipović (A) Moreno | 15,038 |\n| 59. | August 30, 2008 | MLS | RFK Stadium | D.C. United | 0–0 | New York Red Bulls | (H) (A) | 15,616 |\n| 60. | April 26, 2009 | MLS Playoffs | Giants Stadium | New York Red Bulls | 2–3 | D.C. United | (H) Ángel, Richards (A) Wallace, Emílio, Pontius | 10,303 |\n| 61. | May 20, 2009 | Open Cup | RFK Stadium | D.C. United | 5–3 | New York Red Bulls | (H) Pontius (2), Khumalo, Barklage, Fred (A) Richards, Rojas (2) | 5,056 |\n| 62. | June 4, 2009 | MLS | RFK Stadium | D.C. United | 2–0 | New York Red Bulls | (H) Quaranta, Moreno (A) | 11,226 |\n| 63. | May 1, 2010 | MLS | RFK Stadium | D.C. United | 0–2 | New York Red Bulls | (H) (A) Ibrahim, Ángel | 12,089 |\n| 64. | July 10, 2010 | MLS | Red Bull Arena | New York Red Bulls | 0–0 | D.C. United | (H) (A) | 16,239 |\n| 65. | April 21, 2011 | MLS | RFK Stadium | D.C. United | 0–4 | New York Red Bulls | (H) (A) Henry (2), Lindpere, Agudelo | 18,052 |\n| 66. | July 9, 2011 | MLS | Red Bull Arena | New York Red Bulls | 0–1 | D.C. United | (H) (A) De Rosario | 22,200 |\n| 67. | April 22, 2012 | MLS | RFK Stadium | D.C. United | 4–1 | New York Red Bulls | (H) Pontius (3), DeLeon (A) Henry | 13,262 |\n| 68. | June 24, 2012 | MLS | Red Bull Arena | New York Red Bulls | 3–2 | D.C. United | (H) Barklage (2), Solli (A) Pontius (2) | 25,187 |\n| 69. | August 29, 2012 | MLS | RFK Stadium | D.C. United | 2–2 | New York Red Bulls | (H) DeLeon, De Rosario (A) Lindpere, Conde | 10,303 |\n| 70. | November 3, 2012 | MLS Playoffs | RFK Stadium | D.C. United | 1–1 | New York Red Bulls | (H) Miller (own goal) (A) Hamid (own goal) | 17,556 |\n| 71. | November 8, 2012 | MLS Playoffs | Red Bull Arena | New York Red Bulls | 0–1 | D.C. United | (H) (A) DeLeon | 14,035 |\n| 72. | March 16, 2013 | MLS | Red Bull Arena | New York Red Bulls | 0–0 | D.C. United | (H) (A) | 22,022 |\n| 73. | April 13, 2013 | MLS | RFK Stadium | D.C. United | 0–2 | New York Red Bulls | (H) (A) Henry, Olave | 18,019 |\n| 74. | August 31, 2013 | MLS | Red Bull Arena | New York Red Bulls | 2–1 | D.C. United | (H) Sam, Cahill (A) DeLeon | 17,372 |\n| 75. | April 12, 2014 | MLS | RFK Stadium | D.C. United | 1–0 | New York Red Bulls | (H) Arnaud (A) | 12,364 |\n| 76. | August 31, 2014 | MLS | RFK Stadium | D.C. United | 2–0 | New York Red Bulls | (H) Silva, Johnson (A) | 19,453 |\n| 77. | September 10, 2014 | MLS | Red Bull Arena | New York Red Bulls | 1–0 | D.C. United | (H) Sam (A) | 14,953 |\n| 78. | November 2, 2014 | MLS Playoffs | Red Bull Arena | New York Red Bulls | 2–0 | D.C. United | (H) Wright-Phillips, Luyindula (A) | 18,054 |\n| 79. | November 8, 2014 | MLS Playoffs | RFK Stadium | D.C. United | 2–1 | New York Red Bulls | (H) DeLeon, Franklin (A) Luyindula | 20,187 |\n| 80. | March 22, 2015 | MLS | Red Bull Arena | New York Red Bulls | 2–0 | D.C. United | (H) Wright-Phillips, Sam (A) | 21,036 |\n| 81. | April 11, 2015 | MLS | RFK Stadium | D.C. United | 2–2 | New York Red Bulls | (H) Kitchen (2) (A) Perrinelle, Sam | 16,304 |\n| 82. | August 30, 2015 | MLS | Red Bull Arena | New York Red Bulls | 3–0 | D.C. United | (H) Wright-Phillips (2), Sam (A) | 22,645 |\n| 83. | November 1, 2015 | MLS Playoffs | RFK Stadium | D.C. United | 0–1 | New York Red Bulls | (H) (A) McCarty | 19,525 |\n| 84. | November 8, 2015 | MLS Playoffs | Red Bull Arena | New York Red Bulls | 1–0 | D.C. United | (H) Wright-Phillips (A) | 25,219 |\n| 85. | May 13, 2016 | MLS | RFK Stadium | D.C. United | 2–0 | New York Red Bulls | (H) Saborio, Nyarko (A) | 19,632 |\n| 86. | August 21, 2016 | MLS | RFK Stadium | D.C. United | 2–2 | New York Red Bulls | (H) Sarvas, Mullins (A) Wright-Phillips, Felipe | 15,139 |\n| 87. | September 11, 2016 | MLS | Red Bull Arena | New York Red Bulls | 2–2 | D.C. United | (H) Verón, Wright-Phillips (A) Birnbaum, Neagle | 20,086 |\n| 88. | April 15, 2017 | MLS | Red Bull Arena | New York Red Bulls | 2–0 | D.C. United | (H) Muyl, Wright-Phillips (A) | 20,104 |\n| 89. | September 27, 2017 | MLS | Red Bull Arena | New York Red Bulls | 3–3 | D.C. United | (H) Adams (2), Verón (A) Stieber, Mullins, Escobar (own goal) | 16,538 |\n| 90. | October 22, 2017 | MLS | RFK Stadium | D.C. United | 1–2 | New York Red Bulls | (H) Arriola (A) Murillo, Verón | 41,418 |\n| 91. | July 25, 2018 | MLS | Audi Field | D.C. United | 0–1 | New York Red Bulls | (H) (A) Wright-Phillips | 15,655 |\n| 92. | August 26, 2018 | MLS | Red Bull Arena | New York Red Bulls | 1–0 | D.C. United | (H) Gamarra (A) | 22,324 |\n| 93. | September 16, 2018 | MLS | Audi Field | D.C. United | 3–3 | New York Red Bulls | (H) Arriola, Rooney, Acosta (A) Wright-Phillips (3) | 18,331 |\n| 94. | August 21, 2019 | MLS | Audi Field | D.C. United | | New York Red Bulls | | |\n| 95. | September 29, 2019 | MLS | Red Bull Arena | New York Red Bulls | | D.C. United | | |" + } + ] + }, + { + "id": "table_recognition_train_item_55488", + "image": "table_instructV/images/TabFact_2-12840409-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| call sign | frequency mhz | city of license | erp w | class | fcc info |\n| --- | --- | --- | --- | --- | --- |\n| wjya | 89.3 | emporia , virginia | 2000 | a | fcc |\n| wpva | 90.1 | waynesboro , virginia | 2500 | b1 | fcc |\n| wokg | 90.3 | galax , virginia | 2700 | c3 | fcc |\n| wrxt | 90.3 | roanoke , virginia | 5500 | c2 | fcc |\n| wpim | 90.5 | martinsville , virginia | 4000 | a | fcc |\n| wokd - fm | 91.1 | danville , virginia | 18000 | c2 | fcc |\n| wpib | 91.1 | bluefield , west virginia | 12000 | c1 | fcc |\n| wpin - fm | 91.5 | dublin , virginia | 85 | a | fcc |" + } + ] + }, + { + "id": "table_recognition_train_item_35029", + "image": "table_instructV/images/TABMWP_21399.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 2 | 3 |\n| 3 | 7 |\n| 4 | 16 |" + } + ] + }, + { + "id": "table_recognition_train_item_60824", + "image": "table_instructV/images/TabFact_2-16919459-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| volume : issue | issue date (s) | weeks at number one | song | artist (s) |\n| --- | --- | --- | --- | --- |\n| 60:23 - 25 | 9 january - 23 january | 3 | on bended knee | boyz ii men |\n| 60:26 , 61:1 - 2 | 30 january - 13 february | 3 | insensitive | jann arden |\n| 61:3 - 4 | 20 february - 27 february | 2 | bang and blame | rem |\n| 61:5 - 6 | 6 march - 13 march | 2 | take a bow | madonna |\n| 61:7 - 9 | 20 march - 3 april | 3 | strong enough | sheryl crow |\n| 61:10 | 10 april | 1 | i know | dionne farris |\n| 61:11 - 14 | 17 april - 8 may | 4 | believe | elton john |\n| 61:15 - 16 | 15 may - 22 may | 2 | no more i love you 's | annie lennox |\n| 61:17 - 21 | 29 may - 26 june | 5 | have you ever really loved a woman | bryan adams |\n| 61:22 - 23 | 3 july - 10 july | 2 | leave virginia alone | rod stewart |\n| 61:24 - 27 , 62:1 | 17 july - 14 august | 5 | i'll be there for you | the rembrandts |\n| 62:3 - 4 | 21 august - 28 august | 2 | only wanna be with you | hootie & the blowfish |\n| 62:5 - 6 | 4 september - 11 september | 2 | i wish you well | tom cochrane |\n| 62:7 | 18 september | 1 | only wanna be with you (re - entry) | hootie & the blowfish |\n| 62:8 - 13 | 25 september - 30 october | 6 | til i hear it from you | gin blossoms |\n| 62:14 - 15 | 6 november - 13 november | 2 | back for good | take that |\n| 62:16 - 17 | 20 november - 27 november | 2 | fantasy | mariah carey |\n| 62:18 - 20 | 4 december - 1 january | 4 | hand in my pocket | alanis morissette |" + } + ] + }, + { + "id": "table_recognition_train_item_102343", + "image": "table_instructV/images/ToTTo_train_table_9838.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Season | Champion | Motorcycle | Wins | Team |\n| --- | --- | --- | --- | --- |\n| 1976 | United Kingdom Reg Pridmore | BMW | 2 | Butler & Smith |\n| 1977 | United Kingdom Reg Pridmore | Kawasaki | 1 | Racecrafters |\n| 1978 | United Kingdom Reg Pridmore | Kawasaki | 0 | Vetter |\n| 1979 | United States Wes Cooley | Suzuki | 0 | Yoshimura |\n| 1980 | United States Wes Cooley | Suzuki | 3 | Yoshimura |\n| 1981 | United States Eddie Lawson | Kawasaki | 4 | Team Muzzy |\n| 1982 | United States Eddie Lawson | Kawasaki | 5 | Team Muzzy |\n| 1983 | United States Wayne Rainey | Kawasaki | 6 | Team Muzzy |\n| 1984 | United States Fred Merkel | Honda | 10 | American Honda |\n| 1985 | United States Fred Merkel | Honda | 6 | American Honda |\n| 1986 | United States Fred Merkel | Honda | 2 | American Honda |\n| 1987 | United States Wayne Rainey | Honda | 3 | American Honda |\n| 1988 | United States Bubba Shobert | Honda | 3 | American Honda |\n| 1989 | United States Jamie James | Suzuki | 1 | Yoshimura |\n| 1990 | United States Doug Chandler | Kawasaki | 4 | Team Muzzy |\n| 1991 | United States Thomas Stevens | Yamaha | 1 | Vance & Hines |\n| 1992 | United States Scott Russell | Kawasaki | 3 | Team Muzzy |\n| 1993 | United States Doug Polen | Ducati | 6 | Fast by Ferracci |\n| 1994 | Australia Troy Corser | Ducati | 3 | Fast by Ferracci |\n| 1995 | Canada Miguel Duhamel | Honda | 6 | Commonwealth Racing |\n| 1996 | United States Doug Chandler | Kawasaki | 2 | Team Muzzy |\n| 1997 | United States Doug Chandler | Kawasaki | 1 | Team Muzzy |\n| 1998 | United States Ben Bostrom | Honda | 0 | American Honda |\n| 1999 | Australia Mat Mladin | Suzuki | 1 | Yoshimura |\n| 2000 | Australia Mat Mladin | Suzuki | 4 | Yoshimura |\n| 2001 | Australia Mat Mladin | Suzuki | 4 | Yoshimura |\n| 2002 | United States Nicky Hayden | Honda | 9 | American Honda |\n| 2003 | Australia Mat Mladin | Suzuki | 10 | Yoshimura |\n| 2004 | Australia Mat Mladin | Suzuki | 8 | Yoshimura |\n| 2005 | Australia Mat Mladin | Suzuki | 11 | Yoshimura |\n| 2006 | United States Ben Spies | Suzuki | 10 | Yoshimura |\n| 2007 | United States Ben Spies | Suzuki | 7 | Yoshimura |\n| 2008 | United States Ben Spies | Suzuki | 7 | Yoshimura |\n| 2009 | Australia Mat Mladin | Suzuki | 10 | Yoshimura |\n| 2010 | United States Josh Hayes | Yamaha | 7 | Yamaha Factory Racing |\n| 2011 | United States Josh Hayes | Yamaha | 3 | Yamaha Factory Racing |\n| 2012 | United States Josh Hayes | Yamaha | 16 | Yamaha Factory Racing |\n| 2013 | United States Josh Herrin | Yamaha | 4 | Yamaha Factory Racing |\n| 2014 | United States Josh Hayes | Yamaha | 7 | Yamaha Factory Racing |\n| 2015 | United States Cameron Beaubier | Yamaha | 8 | Yamaha Factory Racing |\n| 2016 | United States Cameron Beaubier | Yamaha | 8 | Yamaha Factory Racing |\n| 2017 | Spain Toni Elías | Suzuki | 10 | Yoshimura |\n| 2018 | United States Cameron Beaubier | Yamaha | 7 | Yamaha Factory Racing |" + } + ] + }, + { + "id": "table_recognition_train_item_63110", + "image": "table_instructV/images/TabFact_1-17622423-12.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | series |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | may 19 | new jersey nets | l 97 - 104 | p pierce , a walker (27) | t battie (11) | k anderson (6) | continental airlines arena | 0 - 1 |\n| 2 | may 21 | new jersey nets | w 93 - 86 | a walker (26) | p pierce (14) | k anderson (7) | continental airlines arena | 1 - 1 |\n| 3 | may 25 | new jersey nets | w 94 - 90 | p pierce (28) | a walker (12) | p pierce , a walker (4) | fleetcenter | 2 - 1 |\n| 4 | may 27 | new jersey nets | l 92 - 94 | p pierce (31) | t battie , p pierce , a walker (9) | t delk , p pierce , r rogers , a walker (4) | fleetcenter | 2 - 2 |\n| 5 | may 29 | new jersey nets | l 92 - 103 | p pierce (24) | a walker (13) | k anderson (6) | continental airlines arena | 2 - 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_31724", + "image": "table_instructV/images/TABMWP_10619.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| | Velvet | Suede |\n| --- | --- | --- |\n| Foam | 2 | 5 |\n| Beads | 4 | 2 |" + } + ] + }, + { + "id": "table_recognition_train_item_102594", + "image": "table_instructV/images/ToTTo_train_table_10830.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| County and state | 2014 life expectancy (years) | 1980 life expectancy (years) | Plurality population in 2014 (%) | Other factors |\n| --- | --- | --- | --- | --- |\n| 1. Summit County, Colorado | 86.83 | 79.18 | Non-Hispanic White: 82.6% | |\n| 2. Pitkin County, Colorado | 86.52 | 78.81 | Non-Hispanic White: 86.5% | |\n| 3. Eagle County, Colorado | 85.94 | 77.21 | Non-Hispanic White: 67.4% | |\n| 4. Billings County, North Dakota | 84.04 | 79.44 | Non-Hispanic White: 96.6% | Population < 1,000. |\n| 5. Marin County, California | 83.80 | 75.66 | Non-Hispanic White: 72.6% | |\n| 6. San Miguel County, Colorado | 83.73 | 77.58 | Non-Hispanic White: 87.4% | |\n| 7. Fairfax County, Virginia (and city) | 83.73 | 76.65 | Non-Hispanic White: 52.7% | Fairfax City 60.3% White |\n| 7. Aleutians West Census Area, Alaska | 83.73 | 70.77 | Asian: 31.1% | |\n| 7. Aleutians East Borough, Alaska | 83.73 | 70.77 | Asian: 41.4% | |\n| 10. Presidio County, Texas | 83.72 | 75.27 | Hispanic: 82.0% | |\n| 10. Douglas County, Colorado | 83.72 | 76.89 | Non-Hispanic White: 95.9% | |\n| 12. Hinsdale County, Colorado | 83.66 | 76.76 | Non-Hispanic White: 92.5% | Population < 1,000. |\n| 13. Los Alamos County, New Mexico | 83.49 | 78.22 | Hispanic: 51.1% | |\n| 14. Teton County, Wyoming | 83.46 | 76.35 | Non-Hispanic White: 80.7% | |\n| 15. Collier County, Florida | 83.43 | 74.48 | Non-Hispanic White: 64.8% | |\n| 16. Loudoun County, Virginia | 83.19 | 73.98 | Non-Hispanic White: 60.1% | |\n| 17. Santa Clara County, California | 83.14 | 75.80 | Non-Hispanic White: 58.6% | |\n| 18. San Mateo County, California | 83.11 | 75.67 | Non-Hispanic White: 41.1% | |\n| 19. Leelanau County, Michigan | 83.10 | 75.99 | Non-Hispanic White: 90.8% | |\n| 20. Lincoln County, South Dakota | 83.03 | 77.24 | Non-Hispanic White: 93.9% | |\n| 21. Ouray County, Colorado | 83.00 | 76.48 | Non-Hispanic White: 92.5% | |\n| 22. Blaine County, Idaho | 82.99 | 76.84 | Non-Hispanic White: 77.6% | |\n| 23. Howard County, Maryland | 82.98 | 75.18 | Non-Hispanic White: 58.6% | |\n| 24. Mono County, California | 82.96 | 76.06 | Non-Hispanic White: 66.3% | |\n| 25. Sioux County, Iowa | 82.86 | 78.16 | Non-Hispanic White: 91.6% | |\n| 26. Wayne County, Nebraska | 82.82 | 77.66 | Non-Hispanic White: 90.6% | |\n| 27. Carver County, Minnesota | 82.80 | 76.67 | Non-Hispanic White: 90.1% | |\n| 28. Arlington County, Virginia | 82.76 | 78.16 | Non-Hispanic White: 63.6% | |\n| 29. Grand County, Colorado | 82.73 | 75.61 | Non-Hispanic White: 89.0% | |\n| 29. Routt County, Colorado | 82.73 | 73.89 | Non-Hispanic White: 90.3% | |\n| 31. Winneshiek County, Iowa | 82.62 | 77.23 | Non-Hispanic White: 95.2% | |\n| 32. Sioux County, Nebraska | 82.57 | 76.37 | Non-Hispanic White: 93.1% | Population < 2,000. |\n| 33. Rockland County, New York | 82.54 | 74.67 | Non-Hispanic White: 63.9% | |\n| 34. Bergen County, New Jersey | 82.47 | 75.27 | Non-Hispanic White: 59.7% | |\n| 35. Hunterdon County, New Jersey | 82.45 | 75.70 | Non-Hispanic White: 86.9% | |\n| 36. Sheridan County, North Dakota | 82.44 | 77.54 | Non-Hispanic White: 95.4% | Population < 2,000. |\n| 37. McPherson County, Nebraska | 82.41 | 76.47 | Non-Hispanic White: 97.73% | Population < 1,000. |\n| 38. Summit County, Utah | 82.39 | 76.59 | Non-Hispanic White: 85.2% | |\n| 39. Park County, Colorado | 82.37 | 75.60 | Non-Hispanic White: 90.5% | |\n| 40. Westchester County, New York | 82.29 | 75.09 | Non-Hispanic White: 74.9% | |\n| 41. Orange County, California | 82.27 | 76.19 | Non-Hispanic White: 42.6% | |\n| 42. Stevens County, Minnesota | 82.22` | 76.68 | Non-Hispanic White: 90.5% | |\n| 43. Oliver County, North Dakota | 82.19 | 77.30 | Non-Hispanic White: 94.0% | Population < 2,000 |\n| 44. Hayes County, Nebraska | 82.14 | 77.73 | Non-Hispanic White: 98.4% | Population < 1,000 |\n| 44. Bremer County, Iowa | 82.14 | 77.04 | Non-Hispanic White: 96.0% | |\n| 46. Ozaukee County, Wisconsin | 82.13 | 76.69 | Non-Hispanic White: 95.0% | |\n| 47. Story County, Iowa | 82.11 | 78.62 | Non-Hispanic White: 86.2% | |\n| 48. Stearns County, Minnesota | 82.10 | 76.66 | Non-Hispanic White: 89.7% | |\n| 49. Archuleta County, Colorado | 82.08 | 75.24 | Non-Hispanic White: 77.5% | |\n| 49. Benton County, Oregon | 82.08 | 77.39 | Non-Hispanic White: 82.4% | |\n| 49. Johnson County, Iowa | 82.08 | 77.38 | Non-Hispanic White: 86.3% | |\n| United States (all) | 79.08 | 73.75 | Non-Hispanic White: 62.1% | |" + } + ] + }, + { + "id": "table_recognition_train_item_108010", + "image": "table_instructV/images/ToTTo_train_table_33615.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 1983 | All My Children | Hazel | |\n| 1997 | American Experience | Narrator | Episode: \"Hawaii's Last Queen\" |\n| 2000 | The Practice | Kate Brunner | 4 episodes |\n| 2000 – 06 | The West Wing | Dr. Nancy McNally | 20 episodes |\n| 2001 | 100 Centre Street | Ms. Davis | Episode: \"No Good Deed Goes Unpunished\" |\n| 2001 | Life 360 | Herself | Episode: \"Six Degrees of Separation\" |\n| 2002 | Presidio Med | Dr. Letty Jordan | 4 episodes |\n| 2009 – 15 | Nurse Jackie | Gloria Akalitus | 7 seasons |\n| 2013 | The Surgeon General | Vice President | TV movie |\n| 2014 | Anna Deavere Smith: A YoungArts Masterclass | Herself / Mentor | Documentary |\n| 2015–present | Black-ish | Alicia | |\n| 2015 | Madam Secretary | Attorney General Mary Campbell | |\n| 2016 | Law & Order: Special Victims Unit | Warden Lucille Fenton | Episode: \"Nationwide Manhunt\" |\n| 2016 | Legends of Tomorrow | Chay-Ara (19th Century incarnation) | Episode: \"The Magnificent Eight\" |\n| 2016 | Berlin Station | Polygraph Examiner | Episode: \"False Negative\" |\n| 2018 – present | For the People | Tina Krissman | |" + } + ] + }, + { + "id": "table_recognition_train_item_117941", + "image": "table_instructV/images/Rotowire_train_table_3313.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Suns | Phoenix | 106 | 29 | 16 | 26 | 35 | 16 | 50 | 20 | 43 | 56 | 33 | 14 | 44 | | | | |\n| Nets | Brooklyn | 116 | 34 | 32 | 24 | 26 | 21 | 42 | 17 | 49 | 81 | 44 | 16 | 42 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Suns | | | | | | | | | | | | | | | | | | |\n| Mirza Teletovic | 30 | 30 | 11 | 1 | 12-23 | 52% | 5-13 | 39% | 1-1 | 100% | 0 | 4 | 0 | 4 | 7 | 6 | N/A | Phoenix |\n| Ronnie Price | 38 | 16 | 0 | 3 | 7-14 | 50% | 2-7 | 29% | 0-0 | 0% | 4 | 2 | 1 | 0 | 0 | 2 | G | Phoenix |\n| Alex Len | 17 | 13 | 6 | 0 | 5-10 | 50% | 0-0 | 0% | 3-7 | 43% | 0 | 2 | 0 | 3 | 3 | 5 | N/A | Phoenix |\n| Tyson Chandler | 33 | 12 | 11 | 1 | 5-9 | 56% | 0-0 | 0% | 2-4 | 50% | 2 | 3 | 2 | 3 | 8 | 5 | C | Phoenix |\n| Devin Booker | 30 | 12 | 1 | 2 | 3-12 | 25% | 1-3 | 33% | 5-6 | 83% | 0 | 0 | 0 | 0 | 1 | 4 | G | Phoenix |\n| Phil Pressey | 20 | 10 | 0 | 4 | 4-6 | 67% | 0-0 | 0% | 2-2 | 100% | 2 | 4 | 0 | 0 | 0 | 3 | N/A | Phoenix |\n| PJ Tucker | 31 | 7 | 5 | 2 | 3-6 | 50% | 1-2 | 50% | 0-0 | 0% | 2 | 0 | 0 | 3 | 2 | 2 | F | Phoenix |\n| Jon Leuer | 5 | 4 | 2 | 0 | 2-4 | 50% | 0-1 | 0% | 0-1 | 0% | 0 | 0 | 0 | 2 | 0 | 1 | N/A | Phoenix |\n| John Jenkins | 4 | 2 | 1 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Phoenix |\n| Sonny Weems | 3 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 0 | 0 | N/A | Phoenix |\n| Kris Humphries | 11 | 0 | 10 | 1 | 0-9 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 3 | 0 | 6 | 4 | 1 | F | Phoenix |\n| Archie Goodwin | 18 | 0 | 3 | 2 | 0-3 | 0% | 0-0 | 0% | 0-2 | 0% | 0 | 1 | 0 | 0 | 3 | 0 | N/A | Phoenix |\n| Brandon Knight | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Nets | | | | | | | | | | | | | | | | | | |\n| Bojan Bogdanovic | 38 | 24 | 2 | 0 | 8-16 | 50% | 3-9 | 33% | 5-5 | 100% | 0 | 4 | 0 | 1 | 1 | 2 | F | Brooklyn |\n| Thaddeus Young | 36 | 18 | 8 | 3 | 8-11 | 73% | 0-0 | 0% | 2-2 | 100% | 7 | 1 | 3 | 3 | 5 | 2 | F | Brooklyn |\n| Markel Brown | 25 | 16 | 3 | 1 | 4-7 | 57% | 2-2 | 100% | 6-8 | 75% | 1 | 1 | 0 | 2 | 1 | 3 | N/A | Brooklyn |\n| Donald Sloan | 24 | 13 | 9 | 6 | 3-6 | 50% | 0-1 | 0% | 7-10 | 70% | 0 | 1 | 0 | 0 | 9 | 0 | G | Brooklyn |\n| Wayne Ellington | 23 | 12 | 3 | 1 | 3-10 | 30% | 1-4 | 25% | 5-5 | 100% | 0 | 0 | 0 | 0 | 3 | 1 | G | Brooklyn |\n| Brook Lopez | 30 | 12 | 6 | 2 | 4-10 | 40% | 0-0 | 0% | 4-6 | 67% | 1 | 2 | 1 | 1 | 5 | 5 | C | Brooklyn |\n| Shane Larkin | 25 | 11 | 0 | 6 | 4-7 | 57% | 1-1 | 100% | 2-2 | 100% | 1 | 5 | 0 | 0 | 0 | 1 | N/A | Brooklyn |\n| Chris McCullough | 9 | 4 | 1 | 0 | 1-3 | 33% | 0-0 | 0% | 2-2 | 100% | 2 | 0 | 0 | 0 | 1 | 2 | N/A | Brooklyn |\n| Sergey Karasev | 10 | 3 | 1 | 1 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Brooklyn |\n| Thomas Robinson | 14 | 2 | 5 | 1 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 2 | 0 | 5 | 3 | N/A | Brooklyn |\n| Willie Reed | 7 | 1 | 4 | 0 | 0-1 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 2 | 2 | 2 | 2 | N/A | Brooklyn |" + } + ] + }, + { + "id": "table_recognition_train_item_104403", + "image": "table_instructV/images/ToTTo_train_table_18536.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| No. | Name / Location | Position | Explosive charge | Tunnel length | Depth | Constructed | Result | Notes and images (May be under first row of each group of mines) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | Hill 60 (or Hill 60 A) | 50°49′26″N 2°55′44″E / 50.82389°N 2.92889°E | 24,300 kg (53,500 lb) | 354 m | 30 m | 22 August 1915 – 1 August 1916 | Fired | Shared gallery with Caterpillar, started in mid-1915 as one of the first allied mines at Ypres and known as Berlin Tunnel. |\n| 2 | Caterpillar (or Hill 60 B) | 50°49′20″N 2°55′43″E / 50.82222°N 2.92861°E | 32,000 kg (70,000 lb) | 427 m | 33 m | 22 August 1915 – 18 October 1916 | Fired | Views: aerial view, photo |\n| 3 | St Eloi | 50°48′32″N 2°53′31″E / 50.80889°N 2.89194°E | 43,400 kg (95,600 lb) | 408 m | 42 m | 16 August 1915 – 11 June 1916 | Fired | Largest detonation during the Battle of Messines. The deep mine crater is located next to double crater from 1916. |\n| 4 | Hollandscheschur Farm 1 | 50°47′50″N 2°52′10″E / 50.79722°N 2.86944°E | 15,500 kg (34,200 lb) | 251 m | 20 m | 18 December 1915 – 20 June 1916 | Fired | The mine consisted of three chambers (Hollandscheschur Farm 1–3) with a shared gallery. It was placed around the German strongpoint Günther between Wijtschate and Voormezele, not far from the Bayernwald trenches in Croonaert Wood. |\n| 5 | Hollandscheschur Farm 2 | 50°47′49″N 2°52′04″E / 50.79694°N 2.86778°E | 6,800 kg (14,900 lb) | 137 m | 18 m | 18 December 1915 – 11 July 1916 | Fired | |\n| 6 | Hollandscheschur Farm 3 | 50°47′53″N 2°52′05″E / 50.79806°N 2.86806°E | 7,900 kg (17,500 lb) | 244 m | 18 m | 18 December 1915 – 20 August 1916 | Fired | |\n| 7 | Petit Bois 1 | 50°47′18″N 2°51′56″E / 50.78833°N 2.86556°E | 14,000 kg (30,000 lb) | 616 m | 19 m | 16 December 1915 – 30 July 1916 | Fired | The mine consisted of two chambers (Petit Bois 1 and 2) with a shared gallery. It was placed west of Wijtschate. |\n| 8 | Petit Bois 2 | 50°47′22″N 2°51′56″E / 50.78944°N 2.86556°E | 14,000 kg (30,000 lb) | 631 m | 23 m | 16 December 1915 – 15 August 1916 | Fired | |\n| 9 | Maedelstede Farm | 50°46′59″N 2°51′57″E / 50.78306°N 2.86583°E | 43,000 kg (94,000 lb) | 518 m | 33 m | 3 September 1916 – 2 June 1917 | Fired | Two chambers (Wytschaete Wood and Maedelstede Farm) were planned, but lack of time prevented the former from being finished and all effort was concentrated the latter. |\n| 10 | Peckham 1 | 50°46′47″N 2°51′50″E / 50.77972°N 2.86389°E | 39,000 kg (87,000 lb) | 349 m | 23 m | 20 December 1915 – 19 June 1916 | Fired | The mine consisted of two chambers (Peckham 1 and 2) with a shared gallery. Peckham 1 was detonated during the battle. |\n| 11 | Peckham 2 | 50°46′52″N 2°51′56″E / 50.78111°N 2.86556°E | 9,100 kg (20,000 lb) | 122 m | 23 m | 20 December 1915 – December 1916 | Abandoned | |\n| 12 | Spanbroekmolen (or Lone Tree Crater, Pool of Peace) | 50°46′33″N 2°51′42″E / 50.77583°N 2.86167°E | 41,000 kg (91,000 lb) | 521 m | 29 m | 1 January 1916 – 26 June 1916 | Fired | Discovered by German troops in February 1917, later reclaimed and fired in the Battle of Messines. The crater was acquired in 1929 by the Toc H foundation in Poperinge, today recognised as peace memorial. |\n| 13 | Kruisstraat 1 | 50°46′16″N 2°51′54″E / 50.77111°N 2.86500°E | 14,000 kg (30,000 lb) | 492 m | 19 m | 2 January 1916 – 5 July 1916 | Fired | Building preparations for a two-chamber mine started in December 1915. Kruisstraat 1 was placed at the end of a 492 metres (538 yd) long gallery, Kruisstraat 2 some 50 metres (55 yd) to its right. |\n| 14 | Kruisstraat 2 | 50°46′14″N 2°51′52″E / 50.77056°N 2.86444°E | 14,000 kg (30,000 lb) | 451 m | 21 m | 2 January 1916 – 23 August 1916 | Fired | |\n| 15 | Kruisstraat 3 | 50°46′21″N 2°52′2″E / 50.77250°N 2.86722°E | 14,000 kg (30,000 lb) | 658 m | 17 m | 2 January 1916 – 23 August 1916 | Fired | Kruisstraat 3 had the longest gallery of the mines at Messines. |\n| 16 | Kruisstraat 4 | 50°46′16″N 2°51′54″E / 50.77111°N 2.86500°E | 8,800 kg (19,500 lb) | 492 m | 19 m | February 1917 – 9 May 1917 | Fired | |\n| 17 | Ontario Farm | 50°45′50.4″N 2°52′36.9″E / 50.764000°N 2.876917°E | 27,000 kg (60,000 lb) | 392 m | 34 m | 28 January 1917 – 6 June 1917 | Fired | The mine did not produce a crater but left a shallow indentation in the soft clay; the shock wave did great damage to the German position. |\n| 18 | La Petite Douve Farm | 50°45′11″N 2°51′55″E / 50.75306°N 2.86528°E | 23,000 kg (50,000 lb) | 518 m | 23 m | 28 January 1916 – n/a | Abandoned | The mine was placed under the barn of the farm La Basse Cour. It was discovered by the Germans on 24 August 1916, then flooded and abandoned. |\n| 19 | Trench 127 Left (or Trench 127 North) | 50°44′55″N 2°54′14″E / 50.74861°N 2.90389°E | 16,000 kg (36,000 lb) | 302 m | 25 m | 28 December 1915 – 20 April 1916 | Fired | The mine consisted of two chambers (Trench 127 Left and Right) with a shared gallery. It was placed east of St. |\n| 20 | Trench 127 Right (or Trench 127 South, Ash Crater) | 50°44′51″N 2°54′17″E / 50.74750°N 2.90472°E | 23,000 kg (50,000 lb) | 405 m | 26 m | 28 December 1915 – 9 May 1916 | Fired | |\n| 21 | Trench 122 Left (or Factory Farm 1, Ultimo Crater) | 50°44′36″N 2°54′45″E / 50.74333°N 2.91250°E | 9,100 kg (20,000 lb) | 296 m | 20 m | February 1916 – 14 April 1916 | Fired | The mine consisted of two chambers (Trench 122 Left and Right) with a shared gallery. It was placed east of St. |\n| 22 | Trench 122 Right (or Factory Farm 2, Factory Farm Crater) | 50°44′30″N 2°54′47″E / 50.74167°N 2.91306°E | 18,000 kg (40,000 lb) | 241 m | 25 m | February 1916 – 11 June 1916 | Fired | Views: photo 1, photo 2 |\n| 23 | Birdcage 1 (or Trench 121) | 50°44′21″N 2°54′27″E / 50.73917°N 2.90750°E | 9,100 kg (20,000 lb) | 130 m | 18 m | December 1915 – 7 March 1916 | Not fired | The mine was placed east of Ploegsteert, around the German strongpoint Birdcage at Le Pelerin, near the southern end of Messines Ridge. |\n| 24 | Birdcage 2 (or Trench 121) | 50°44′20″N 2°54′28″E / 50.73889°N 2.90778°E | 15,000 kg (32,000 lb) | 236 m | 18 m | December 1915 – n/a | Not fired | |\n| 25 | Birdcage 3 (or Trench 121) | 50°44′20″N 2°54′31″E / 50.73889°N 2.90861°E | 12,000 kg (26,000 lb) | 261 m | 20 m | December 1915 – 30 April 1916 | Exploded in 1955 | Detonated by lightning on 17 June 1955, after an electric-power pylon had been built over the site. |\n| 26 | Birdcage 4 (or Trench 121) | 50°44′20″N 2°54′30″E / 50.73889°N 2.90833°E | 15,000 kg (34,000 lb) | 239 m | 18 m | December 1915 – n/a | Not fired | |" + } + ] + }, + { + "id": "table_recognition_train_item_70114", + "image": "table_instructV/images/TabFact_1-101196-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| county | english name | irish name | population | irish speakers |\n| --- | --- | --- | --- | --- |\n| county donegal | altnapeaste | alt na péiste | 188 | 55% |\n| county donegal | annagry | anagaire | 2235 | 55% |\n| county donegal | arranmore | árainn mhór | 529 | 62% |\n| county donegal | crovehy | cró beithe | 161 | 53% |\n| county donegal | cloghan | an clochán | 514 | 41% |\n| county donegal | bloody foreland | cnoc fola | 1326 | 83% |\n| county donegal | dunlewey | dún lúiche | 695 | 76% |\n| county donegal | falcarragh | an fál carrach | 2168 | 44% |\n| county donegal | fintown | baile na finne | 316 | 57% |\n| county donegal | gortahork | gort a' choirce | 1599 | 81% |\n| county donegal | graffy | an grafadh | 209 | 52% |\n| county donegal | gweedore | gaoth dobhair | 2651 | 77% |\n| county donegal | teelin | teileann | 726 | 41% |\n| county mayo | aughleam | eachléim | 921 | 46% |\n| county mayo | carrowteige | ceathrú thaidhg | 356 | 64% |\n| county mayo | finny | fionnaithe | 248 | 44% |\n| county galway | aran islands | oileáin árann | 1225 | 79% |\n| county galway | bothúna | bothúna | 963 | 74% |\n| county galway | camus | camus | 367 | 90% |\n| county galway | carna | carna | 798 | 81% |\n| county galway | carraroe | an cheathrú rua | 2294 | 83% |\n| county galway | cornamona | corr na móna | 573 | 45% |\n| county galway | furbo | na forbacha | 1239 | 43% |\n| county galway | derryrush | doire iorrais | 313 | 76% |\n| county galway | glantrasna | gleann trasna | 122 | 61% |\n| county galway | inverin | indreabhán | 1362 | 83% |\n| county galway | kilkieran | cill chiaráin | 619 | 87% |\n| county galway | lettermore | leitir móir | 875 | 84% |\n| county galway | lettermullen | leitir mealláin | 1288 | 89% |\n| county galway | rossaveal | ros an mhíl | 1304 | 84% |\n| county galway | rosmuc | ros muc | 557 | 87% |\n| county galway | spiddal | an spidéal | 1357 | 66% |\n| county kerry | ballyferriter | baile an fheirtéaraigh | 455 | 77% |\n| county kerry | ballynagall / ballydavid | baile na ngall | 508 | 75% |\n| county kerry | brandon | cé bhréannain | 168 | 48% |\n| county kerry | cinnáird | cinnáird | 318 | 45% |\n| county kerry | cloghane | an clochán | 273 | 46% |\n| county kerry | dunquin | dún chaoin | 159 | 72% |\n| county kerry | feohanagh | an fheothanach | 462 | 78% |\n| county kerry | glin | na gleannta | 1496 | 44% |\n| county kerry | marhin | márthain | 276 | 56% |\n| county kerry | mináird | mináird | 387 | 53% |\n| county kerry | ventry | ceann trá | 413 | 59% |\n| county cork | ballingeary | béal átha an ghaorthaidh | 542 | 46% |\n| county cork | ballyvourney | baile bhuirne | 816 | 42% |\n| county cork | cape clear island | oileán chléire | 125 | 41% |\n| county cork | coolea | cúil aodha | 420 | 53% |\n| county waterford | ring | an rinn | 1176 | 51% |" + } + ] + }, + { + "id": "table_recognition_train_item_34964", + "image": "table_instructV/images/TABMWP_19419.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 7 | 14 |\n| 8 | 12 |\n| 9 | 10 |" + } + ] + }, + { + "id": "table_recognition_train_item_53270", + "image": "table_instructV/images/TabFact_2-1230465-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| name | term | games | win% | pwin% |\n| --- | --- | --- | --- | --- |\n| george red sullivan | 1967 - 1969 | 150 | 393 | - |\n| red kelly | 1969 - 1973 | 274 | 423 | 429 |\n| ken schinkel | 1973 - 1974 , 1976 - 1977 | 203 | 478 | - |\n| marc boileau | 1974 - 1976 | 151 | 517 | 555 |\n| johnny wilson | 1977 - 1980 | 240 | 471 | 333 |\n| eddie johnston | 1980 - 1983 , 1993 - 1997 | 516 | 508 | 478 |\n| lou angotti | 1983 - 1984 | 80 | 232 | - |\n| bob berry | 1984 - 1987 | 240 | 419 | - |\n| pierre creamer | 1987 - 1988 | 80 | 506 | - |\n| gene ubriaco | 1988 - 1989 | 106 | 514 | 636 |\n| craig patrick | 1989 - 1990 | 74 | 453 | 200 |\n| bob johnson | 1990 - 1991 | 80 | 550 | 667 |\n| scotty bowman | 1991 - 1993 | 164 | 628 | 696 |\n| kevin constantine | 1997 - 1999 | 189 | 511 | 421 |\n| herb brooks | 1999 - 2000 | 57 | 570 | 545 |\n| ivan hlinka | 2000 - 2001 | 86 | 558 | 500 |\n| rick kehoe | 2001 - 2003 | 160 | 419 | - |\n| ed olczyk | 2003 - 2005 | 113 | 274 | - |\n| michel therrien | 2005 - 2009 | 272 | 502 | 600 |\n| dan bylsma | 2009 - present | 319 | 669 | 554 |" + } + ] + }, + { + "id": "table_recognition_train_item_50334", + "image": "table_instructV/images/TAT-QA_1fa48138-18c3-4845-a9c1-d318ca36c2f2.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Financial highlights | | | |\n| --- | --- | --- | --- |\n| For the year ended December 31, | 2019 | 2018 | 2017 |\n| Continuing operations | EURm | EURm | EURm |\n| Net sales | 23,315 | 22,563 | 23,147 |\n| Gross profit | 8,326 | 8,446 | 9,139 |\n| Gross margin | 35.7% | 37.4% | 39.5% |\n| Operating profit/(loss) | 485 | (59) | 16 |\n| Operating margin | 2.1% | (0.3)% | 0.1% |\n| Profit/(loss) for the year | 18 | (549) | (1,437) |\n| | EUR | EUR | EUR |\n| Earnings per share, diluted | 0.00 | (0.10) | (0.26) |\n| Dividend per share(1) | 0.00 | 0.10 | 0.19 |\n| | 2019 | 2018 | 2017 |\n| As of December 31 | EURm | EURm | EURm |\n| Net cash and current financial investments | 1,730 | 3,053 | 4,517 |" + } + ] + }, + { + "id": "table_recognition_train_item_31757", + "image": "table_instructV/images/TABMWP_10930.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $40 | 20,000 | 2,100 |\n| $180 | 15,400 | 6,100 |\n| $320 | 10,800 | 10,100 |\n| $460 | 6,200 | 14,100 |\n| $600 | 1,600 | 18,100 |" + } + ] + }, + { + "id": "table_recognition_train_item_108281", + "image": "table_instructV/images/ToTTo_train_table_34850.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| West Indies 293/6 (60 overs) | v | Pakistan 250 all out (56.2 overs) |\n| --- | --- | --- |\n| Gordon Greenidge 73 (107) Asif Iqbal 4/56 (11 overs) | | Zaheer Abbas 93 (122) Colin Croft 3/29 (11 overs) |" + } + ] + }, + { + "id": "table_recognition_train_item_52272", + "image": "table_instructV/images/TabFact_2-17982829-17.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| frequency | callsign | brand | city of license | type |\n| --- | --- | --- | --- | --- |\n| 580 | xehp | la mas prendida | ciudad victoria | norteño |\n| 640 | xetam | la poderosa | santa elena | norteño |\n| 970 | xebj - am | radio 970 | ciudad victoria | contemporary |\n| 1340 | xerpv - am | la cotorra | ciudad victoria | norteño |\n| 1380 | xegw | planeta w 1380 | ciudad victoria | christian pop |\n| 1480 | xevic | radio tamaulipas | ciudad victoria | state government |" + } + ] + }, + { + "id": "table_recognition_train_item_105826", + "image": "table_instructV/images/ToTTo_train_table_24464.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | 28–10 | Alexandr Shabliy | Decision (unanimous) | FNG - Fight Nights Global 87 | May 19, 2018 | 3 | 5:00 | Rostov, Russia | |\n| Loss | 28–9 | Kajan Johnson | KO (punch) | UFC 215 | September 9, 2017 | 3 | 0:49 | Edmonton, Alberta, Canada | |\n| Loss | 28–8 | Leonardo Santos | Decision (split) | UFC 204 | October 8, 2016 | 3 | 4:32 | Manchester, England | |\n| Win | 28–7 | Islam Makhachev | KO (punch) | UFC 192 | October 3, 2015 | 1 | 1:46 | Houston, Texas, United States | Performance of the Night. |\n| Win | 27–7 | Rustam Khabilov | Decision (split) | UFC Fight Night: Bigfoot vs. Mir | February 22, 2015 | 3 | 5:00 | Porto Alegre, Brazil | |\n| Win | 26–7 | Juan Puig | KO (punch) | The Ultimate Fighter: Team Edgar vs. Team Penn Finale | July 6, 2014 | 1 | 2:21 | Las Vegas, Nevada, United States | Performance of the Night. |\n| Loss | 25–7 | Donald Cerrone | KO (head kick) | UFC on Fox: Henderson vs. Thomson | January 25, 2014 | 1 | 4:40 | Chicago, Illinois, United States | |\n| Win | 25–6 | Daron Cruickshank | Submission (straight armbar) | UFC Fight Night: Belfort vs. Henderson | November 9, 2013 | 2 | 2:49 | Goiânia, Brazil | Submission of the Night. |\n| Win | 24–6 | Jorge Gurgel | Decision (unanimous) | Strikeforce: Marquardt vs. Saffiedine | January 12, 2013 | 3 | 5:00 | Oklahoma City, Oklahoma, United States | |\n| Win | 23–6 | Jimmy Donahue | TKO (punches) | Jungle Fight 37 | March 31, 2012 | 1 | 1:02 | São Paulo, Brazil | Defended the Jungle Fight Lightweight Championship. |\n| Win | 22–6 | Neilson Gomes | TKO (punches) | Jungle Fight 34 | November 26, 2011 | 1 | 1:21 | Rio de Janeiro, Brazil | Won the interim Jungle Fight Lightweight Championship. |\n| Win | 21–6 | Marcio Castanheira | Submission (guillotine choke) | Mr. Cage 6 | September 30, 2011 | 1 | N/A | Manaus, Brazil | |\n| Win | 20–6 | Diego Braga Alves | Decision (unanimous) | WFE 10: Platinum | September 16, 2011 | 5 | 5:00 | Salvador, Brazil | Won the WFE Lightweight Championship. |\n| Loss | 19–6 | Francisco Trinaldo | Decision (majority) | Jungle Fight 30 | July 30, 2011 | 3 | 5:00 | Belém, Brazil | For the Jungle Fight Lightweight Championship. |\n| Win | 19–5 | Jamil Silveira | TKO (punches) | Mr. Cage 5 | April 29, 2011 | 2 | 2:19 | Manaus, Brazil | |\n| Win | 18–5 | Ronildo Augusto | TKO (punches) | Jungle Fight 27 | April 21, 2011 | 1 | 2:54 | Brasília, Brazil | Won the interim Jungle Fight Lightweight Championship. |\n| Win | 17–5 | Nilson Assunção | TKO (corner stoppage) | Jungle Fight 26 | April 2, 2011 | 1 | N/A | São Paulo, Brazil | |\n| Win | 16–5 | Ronys Torres | Decision (unanimous) | Amazon Show Combat | September 9, 2010 | 3 | 5:00 | Manaus, Brazil | |\n| Win | 15–5 | Pedro Irie | Decision (split) | MF 7: Rally Brazil | July 24, 2010 | 3 | 5:00 | Itatiba, Brazil | |\n| Win | 14–5 | Dylan Clay | Decision (unanimous) | VTC: Brazil vs. USA | March 6, 2010 | 3 | 5:00 | Manaus, Brazil | |\n| Loss | 13–5 | Jamil Silveira | Decision (split) | Vision Fight | December 20, 2009 | 3 | 5:00 | Boa Vista, Brazil | |\n| Win | 13–4 | Daniel Trindade | Decision (unanimous) | Roraima Show Fight 5 | July 12, 2009 | 3 | 5:00 | Boa Vista, Brazil | |\n| Win | 12–4 | Luis Santos | Decision (split) | Hero's The Jungle 3 | May 9, 2009 | 3 | 5:00 | Manaus, Brazil | |\n| Loss | 11–4 | Keita Nakamura | Decision (split) | Dream 6 | September 23, 2008 | 2 | 5:00 | Saitama, Japan | |\n| Loss | 11–3 | Ronys Torres | TKO (doctor stoppage) | Hero's the Jungle 2 | April 7, 2008 | 2 | N/A | Manaus, Brazil | |\n| Win | 11–2 | Diego Braga Alves | Decision (unanimous) | Amazon Challenge 2 | March 1, 2008 | 3 | 5:00 | Manaus, Brazil | |\n| Win | 10–2 | Michel Addario Bastos | TKO (punches) | Hero's the Jungle | October 13, 2007 | 1 | 4:24 | Manaus, Brazil | |\n| Win | 9–2 | Julian Fabrin | TKO (punches) | Cassino Fight 4 | September 15, 2007 | 3 | 1:19 | Manaus, Brazil | |\n| Win | 8–2 | Luciano Azevedo | Decision (split) | Cassino Fight 3 | April 21, 2007 | 3 | 5:00 | Manaus, Brazil | |\n| Win | 7–2 | Steve Reyna | Submission (rear-naked choke) | Jungle Fight 6 | April 29, 2006 | 2 | 0:35 | Manaus, Brazil | |\n| Win | 6–2 | Daniel Trindade | KO (knee) | Roraima Kombat | April 8, 2006 | 2 | 3:01 | Boa Vista, Brazil | |\n| Win | 5–2 | Jorge Clay | TKO (punches) | Amazon Ultimate Fight | June 4, 2005 | 3 | 1:40 | Manaus, Brazil | |\n| Win | 4–2 | Daniel Trindade | KO (punches) | Roraima Combat 1 | April 8, 2005 | 2 | N/A | Boa Vista, Brazil | |\n| Loss | 3–2 | Gleison Tibau | Decision (unanimous) | Amazônia Fight 1 | June 20, 2005 | 3 | 5:00 | Manaus, Brazil | |\n| Loss | 3–1 | Boris Jonstomp | Decision | Jungle Fight 2 | May 15, 2004 | 3 | 5:00 | Manaus, Brazil | |\n| Win | 3–0 | Erick Cardoso | Decision (unanimous) | Gladiator of the Jungle 1 | March 7, 2004 | 1 | 10:00 | Manaus, Brazil | |\n| Win | 2–0 | Robert Fonseca | KO (punches) | Gladiator of the Jungle 1 | March 7, 2004 | 1 | 4:53 | Manaus, Brazil | |\n| Win | 1–0 | Lucas Lopes | Decision (unanimous) | Gladiator of the Jungle 1 | March 7, 2004 | 1 | 10:00 | Manaus, Brazil | |" + } + ] + }, + { + "id": "table_recognition_train_item_115217", + "image": "table_instructV/images/Rotowire_train_table_1951.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pacers | Indiana | 85 | 17 | 19 | 23 | 26 | 16 | 38 | 16 | 38 | 82 | 27 | 1 | 2 | | | | |\n| Raptors | Toronto | 101 | 24 | 29 | 18 | 30 | 18 | 45 | 11 | 42 | 81 | 32 | 2 | 1 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| Paul George | 42 | 25 | 10 | 6 | 6-19 | 32% | 1-8 | 13% | 12-12 | 100% | 1 | 4 | 1 | 1 | 9 | 3 | F | Indiana |\n| Myles Turner | 31 | 17 | 8 | 1 | 7-12 | 58% | 0-0 | 0% | 3-4 | 75% | 0 | 1 | 3 | 5 | 3 | 3 | N/A | Indiana |\n| George Hill | 33 | 13 | 3 | 2 | 3-7 | 43% | 2-4 | 50% | 5-6 | 83% | 1 | 1 | 0 | 1 | 2 | 3 | G | Indiana |\n| Solomon Hill | 28 | 8 | 3 | 2 | 2-5 | 40% | 2-3 | 67% | 2-2 | 100% | 0 | 0 | 0 | 0 | 3 | 2 | N/A | Indiana |\n| Ian Mahinmi | 24 | 7 | 4 | 0 | 3-5 | 60% | 0-0 | 0% | 1-4 | 25% | 0 | 4 | 1 | 1 | 3 | 4 | C | Indiana |\n| Monta Ellis | 36 | 7 | 6 | 4 | 3-9 | 33% | 0-2 | 0% | 1-2 | 50% | 1 | 4 | 0 | 1 | 5 | 2 | G | Indiana |\n| Rodney Stuckey | 17 | 5 | 1 | 0 | 1-2 | 50% | 0-0 | 0% | 3-3 | 100% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Indiana |\n| Joe Young | 1 | 3 | 0 | 0 | 1-2 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Indiana |\n| Glenn Robinson | 1 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Indiana |\n| Ty Lawson | 7 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Indiana |\n| CJ Miles | 8 | 0 | 1 | 1 | 0-3 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Indiana |\n| Jordan Hill | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Indiana |\n| Lavoy Allen | 9 | 0 | 2 | 0 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 2 | 0 | F | Indiana |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| DeMar DeRozan | 36 | 21 | 2 | 3 | 7-19 | 37% | 0-1 | 0% | 7-9 | 78% | 2 | 2 | 0 | 0 | 2 | 2 | G | Toronto |\n| Kyle Lowry | 40 | 21 | 4 | 8 | 8-21 | 38% | 4-10 | 40% | 1-2 | 50% | 1 | 2 | 0 | 2 | 2 | 3 | G | Toronto |\n| DeMarre Carroll | 35 | 17 | 5 | 0 | 7-16 | 44% | 3-9 | 33% | 0-0 | 0% | 1 | 2 | 1 | 4 | 1 | 3 | F | Toronto |\n| Cory Joseph | 24 | 10 | 2 | 4 | 5-10 | 50% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 2 | N/A | Toronto |\n| Jonas Valanciunas | 27 | 9 | 14 | 0 | 3-8 | 38% | 0-0 | 0% | 3-3 | 100% | 0 | 2 | 1 | 4 | 10 | 5 | C | Toronto |\n| Patrick Patterson | 26 | 7 | 4 | 0 | 2-7 | 29% | 1-5 | 20% | 2-2 | 100% | 1 | 1 | 1 | 1 | 3 | 1 | N/A | Toronto |\n| Bismack Biyombo | 21 | 6 | 8 | 0 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 3 | 5 | 5 | N/A | Toronto |\n| Terrence Ross | 10 | 5 | 3 | 2 | 2-3 | 67% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 2 | N/A | Toronto |\n| Luis Scola | 16 | 3 | 2 | 1 | 1-4 | 25% | 1-3 | 33% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 3 | F | Toronto |\n| Norman Powell | 3 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Toronto |\n| Delon Wright | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Toronto |\n| James Johnson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Jason Thompson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |" + } + ] + }, + { + "id": "table_recognition_train_item_68368", + "image": "table_instructV/images/TabFact_1-21094951-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| game | date | opponent | result | black knights points | opponents | record |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | oct 3 | detroit mercy | win | 31 | 6 | 1 - 0 |\n| 2 | oct 10 | knox college | win | 26 | 7 | 2 - 0 |\n| 3 | oct 17 | notre dame | win | 27 | 0 | 3 - 0 |\n| 4 | oct 24 | st louis | win | 19 | 0 | 4 - 0 |\n| 5 | oct 31 | yale | loss | 7 | 28 | 4 - 1 |\n| 6 | nov 7 | davis & elkins college | win | 14 | 6 | 5 - 1 |\n| 7 | nov 14 | columbia | loss | 7 | 21 | 5 - 2 |\n| 8 | nov 21 | ursinus college | win | 44 | 0 | 6 - 2 |" + } + ] + }, + { + "id": "table_recognition_train_item_100092", + "image": "table_instructV/images/ToTTo_train_table_349.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Games | Gold | Silver | Bronze |\n| --- | --- | --- | --- |\n| 1998 | Australia (AUS) Michael Brennan Adam Commens Stephen Davies Damon Diletti Jason Duff James Elmer Paul Gaudoin Mark Hickman Jeremy Hiskins Stephen Holt Brent Livermore Matthew Smith Daniel Sproule Jay Stacy Lachlan Vivian-Taylor Michael York | Malaysia (MAS) Nur Azlan Bakar Nor Saiful Zaini Mirnawan Nawawi Roslan Jamaluddin Calvin Fernandez Gobinathan Krishnamurthy Maninderjit Singh Chairil Anwar Abdul Aziz K. | England (ENG) Bob Crutchley Guy Fordham Julian Halls Stuart Head Russell Garcia Brett Garrard Michael Johnson David Luckes Simon Mason Mark Pearn Justin Pidcock Ben Sharpe Jimmy Wallis Bill Waugh Duncan Woods Jon Wyatt |\n| 2002 | Australia (AUS) Aaron Hopkins Ben Taylor Bevan George Brent Livermore Craig Victory Dean Butler Jamie Dwyer Liam de Young Mark Hickman Matthew Smith Matthew Wells Michael McCann Paul Gaudoin Scott Webster Stephen Lambert Troy Elder | New Zealand (NZL) Bevan Hari Blair Hopping Darren Smith David Kosoof Dean Couzins Dion Gosling Hayden Shaw Michael Bevin Mitesh Patel Paul Woolford Peter Stafford Phillip Burrows Ryan Archibald Simon Towns Umesh Parag Wayne McIndoe | Pakistan (PAK) Ahmed Alam Ghazanfar Ali Kamran Ashraf Kashif Jawad Mudassar Ali Khan Muhammad Khalid Muhammad Nadeem Muhammad Qasim Muhammad Saqlain Muhammad Sarwar Muhammad Shabbir Muhammad Usman Sohail Abbas Tariq Imran Waseem Ahmad Zeeshan Ashraf |\n| 2006 | Australia (AUS) Jamie Dwyer Liam de Young Michael McCann Robert Hammond Nathan Eglington Mark Knowles Luke Doerner Grant Schubert Bevan George Stephen Lambert Aaron Hopkins Matthew Wells Travis Brooks Brent Livermore Dean Butler Stephen Mowlam | Pakistan (PAK) Salman Akbar Imram Warsi Muhammad Saqlain Dilawar Hussain Adnan Maqsood Tariq Aziz Rehan Butt Muhammad Shabbir Nasir Ahmed Mudassar Ali Khan Shakeel Abbasi Imran Khan Yousafzai Adnan Zakir Muhammad Imran Zeeshan Ashraf Muhammad Zubair | Malaysia (MAS) Ibrahim Mohamed Nasihin Rahim Muhamad Amin Chua Boon Huat Kali Logan Raj Kuhan Shanmuganathan Bakar Nor Azlan Megat Termizi Megat Azrafiq Mohan Jiwa Nor Mohamed Madzli Tengku Ahmad Tajuddin Razie Rahim Kali Keevan Raj Ismail Abu Azlan Misron Mohan Jivan Kumar Subramaniam |\n| 2010 | Australia (AUS) Chris Ciriello Des Abbott Eddie Ockenden Fergus Kavanagh Glenn Turner Jamie Dwyer Jason Wilson Joel Carroll Liam de Young Luke Doerner Mark Knowles Matthew Swann Nathan Burgers Robert Hammond Simon Orchard Trent Mitton | India (IND) Sandeep Singh Bharat Chettri Arjun Halappa Sardara Singh Sarvanjit Singh Gurbaj Singh Tushar Khandker Rajpal Singh Shivendra Singh Bharat Chikara Dhananjay Mahadik Vikram Pillay Danish Mujtaba Dharamvir Singh Prabodh Tirkey Ravi Pal | New Zealand (NZL) Phillip Burrows Simon Child Dean Couzins Steve Edwards Nick Haig Andrew Hayward Blair Hilton Hugo Inglis Stephen Jenness Shea McAleese Arun Panchia Kyle Pontifex Bradley Shaw Hayden Shaw Blair Tarrant Nick Wilson |\n| 2014 | Australia (AUS) Simon Orchard Chris Ciriello Mark Knowles Eddie Ockenden Jacob Whetton Matthew Gohdes Aran Zalewski Tristan White Matthew Swann Daniel Beale Trent Mitton Kieran Govers Kiel Brown Andrew Philpott Andrew Charter Fergus Kavanagh | India (IND) Rupinder Pal Singh Kothajit Singh Manpreet Singh Sardara Singh Dharamvir Singh V. R. | England (ENG) George Pinner Iain Lewers Daniel Fox Barry Middleton Henry Weir Ashley Jackson Simon Mantell Harry Martin Michael Hoare David Condon Mark Gleghorne Phil Roper Ollie Willars Adam Dixon Alastair Brogdon Nicholas Catlin |" + } + ] + }, + { + "id": "table_recognition_train_item_57812", + "image": "table_instructV/images/TabFact_2-140290-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| name | council seat | formed | population (2010) | area | website |\n| --- | --- | --- | --- | --- | --- |\n| armadale , city of | armadale | 1894 | 60983 | km2 (sqmi) | link |\n| bassendean , town of | bassendean | 1901 | 14790 | km2 (sqmi) | link |\n| bayswater , city of | morley | 1897 | 61865 | km2 (sqmi) | link |\n| belmont , city of | cloverdale | 1898 | 35082 | km2 (sqmi) | link |\n| cambridge , town of | floreat | 1994 | 26959 | km2 (sqmi) | link |\n| canning , city of | cannington | 1907 | 88433 | km2 (sqmi) | link |\n| claremont , town of | claremont | 1898 | 9891 | km2 (sqmi) | link |\n| cockburn , city of | spearwood | 1871 | 91313 | km2 (sqmi) | link |\n| cottesloe , town of | cottesloe | 1895 | 8222 | km2 (sqmi) | link |\n| east fremantle , town of | east fremantle | 1897 | 7534 | km2 (sqmi) | link |\n| fremantle , city of | fremantle | 1871 | 28626 | km2 (sqmi) | link |\n| gosnells , city of | gosnells | 1907 | 106724 | km2 (sqmi) | link |\n| joondalup , city of | joondalup | 1998 | 164445 | km2 (sqmi) | link |\n| kalamunda , shire of | kalamunda | 1897 | 55814 | km2 (sqmi) | link |\n| kwinana , city of | kwinana town centre | 1954 | 29029 | km2 (sqmi) | link |\n| melville , city of | ardross | 1900 | 102434 | km2 (sqmi) | link |\n| mosman park , town of | mosman park | 1899 | 9440 | km2 (sqmi) | link |\n| mundaring , shire of | mundaring | 1903 | 38910 | km2 (sqmi) | link |\n| nedlands , city of | nedlands | 1893 | 22508 | km2 (sqmi) | link |\n| peppermint grove , shire of | peppermint grove | 1895 | 1749 | km2 (sqmi) | link |\n| perth , city of | perth | 1856 | 17955 | km2 (sqmi) | link |\n| rockingham , city of | rockingham | 1897 | 104130 | km2 (sqmi) | link |\n| south perth , city of | south perth | 1892 | 43908 | km2 (sqmi) | link |\n| stirling , city of | stirling | 1871 | 202014 | km2 (sqmi) | link |\n| subiaco , city of | subiaco | 1896 | 18862 | km2 (sqmi) | link |\n| swan , city of | midland | 1871 | 112960 | km2 (sqmi) | link |\n| victoria park , town of | victoria park | 1994 | 32958 | km2 (sqmi) | link |\n| vincent , city of | leederville | 1994 | 31209 | km2 (sqmi) | link |\n| wanneroo , city of | wanneroo | 1902 | 150106 | km2 (sqmi) | link |" + } + ] + }, + { + "id": "table_recognition_train_item_33651", + "image": "table_instructV/images/TABMWP_31236.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 17 | 20 |\n| 2 | 8 |\n| 17 | 12 |" + } + ] + }, + { + "id": "table_recognition_train_item_112667", + "image": "table_instructV/images/Rotowire_train_table_676.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nuggets | Denver | 112 | 28 | 32 | 20 | 32 | 28 | 49 | 19 | 54 | 80 | 46 | 19 | 30 | | | | |\n| Raptors | Toronto | 93 | 28 | 21 | 16 | 28 | 13 | 35 | 12 | 37 | 69 | 32 | 32 | 16 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Nuggets | | | | | | | | | | | | | | | | | | |\n| Nikola Jokic | 30 | 27 | 14 | 4 | 12-18 | 67% | 1-3 | 33% | 2-4 | 50% | 0 | 2 | 1 | 3 | 11 | 3 | C | Denver |\n| Will Barton | 33 | 20 | 7 | 3 | 8-16 | 50% | 2-3 | 67% | 2-2 | 100% | 0 | 3 | 1 | 1 | 6 | 3 | N/A | Denver |\n| Randy Foye | 24 | 16 | 5 | 3 | 6-7 | 86% | 4-5 | 80% | 0-0 | 0% | 1 | 3 | 2 | 0 | 5 | 4 | N/A | Denver |\n| Danilo Gallinari | 29 | 13 | 4 | 4 | 4-7 | 57% | 1-2 | 50% | 4-5 | 80% | 1 | 4 | 0 | 0 | 4 | 1 | F | Denver |\n| Kenneth Faried | 24 | 13 | 7 | 2 | 5-6 | 83% | 0-0 | 0% | 3-3 | 100% | 1 | 2 | 0 | 0 | 7 | 1 | F | Denver |\n| Gary Harris | 20 | 9 | 2 | 1 | 3-6 | 50% | 2-3 | 67% | 1-1 | 100% | 0 | 0 | 0 | 0 | 2 | 4 | G | Denver |\n| Joffrey Lauvergne | 3 | 4 | 0 | 0 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Denver |\n| Emmanuel Mudiay | 24 | 4 | 0 | 8 | 2-6 | 33% | 0-2 | 0% | 0-0 | 0% | 2 | 1 | 1 | 0 | 0 | 1 | G | Denver |\n| Jusuf Nurkic | 15 | 4 | 7 | 1 | 2-10 | 20% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 3 | 4 | 3 | N/A | Denver |\n| Sean Kilpatrick | 17 | 2 | 1 | 0 | 1-3 | 33% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 1 | N/A | Denver |\n| Mike Miller | 2 | 0 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Denver |\n| Darrell Arthur | 18 | 0 | 2 | 1 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 2 | N/A | Denver |\n| JJ Hickson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| DeMar DeRozan | 28 | 24 | 1 | 4 | 7-14 | 50% | 0-0 | 0% | 10-11 | 91% | 1 | 0 | 0 | 0 | 1 | 1 | G | Toronto |\n| Terrence Ross | 27 | 12 | 4 | 0 | 5-10 | 50% | 1-5 | 20% | 1-2 | 50% | 1 | 2 | 0 | 0 | 4 | 1 | N/A | Toronto |\n| Jonas Valanciunas | 19 | 10 | 8 | 0 | 4-8 | 50% | 0-0 | 0% | 2-4 | 50% | 0 | 1 | 1 | 4 | 4 | 1 | C | Toronto |\n| Kyle Lowry | 32 | 10 | 2 | 2 | 3-12 | 25% | 1-6 | 17% | 3-8 | 38% | 3 | 2 | 0 | 1 | 1 | 2 | G | Toronto |\n| Cory Joseph | 28 | 7 | 2 | 2 | 2-8 | 25% | 1-2 | 50% | 2-2 | 100% | 2 | 1 | 0 | 1 | 1 | 0 | N/A | Toronto |\n| Delon Wright | 6 | 6 | 0 | 0 | 2-2 | 100% | 2-2 | 100% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Toronto |\n| Luis Scola | 17 | 5 | 2 | 0 | 2-5 | 40% | 1-1 | 100% | 0-0 | 0% | 1 | 0 | 1 | 0 | 2 | 2 | F | Toronto |\n| Anthony Bennett | 8 | 4 | 3 | 0 | 1-3 | 33% | 0-1 | 0% | 2-2 | 100% | 1 | 0 | 0 | 1 | 2 | 0 | N/A | Toronto |\n| Lucas Nogueira | 14 | 4 | 1 | 0 | 1-2 | 50% | 0-0 | 0% | 2-2 | 100% | 2 | 1 | 1 | 1 | 0 | 3 | N/A | Toronto |\n| James Johnson | 10 | 3 | 2 | 1 | 1-2 | 50% | 1-1 | 100% | 0-0 | 0% | 0 | 2 | 1 | 0 | 2 | 2 | F | Toronto |\n| Bismack Biyombo | 15 | 3 | 5 | 1 | 0-1 | 0% | 0-0 | 0% | 3-6 | 50% | 0 | 2 | 1 | 1 | 4 | 3 | N/A | Toronto |\n| Patrick Patterson | 23 | 3 | 3 | 2 | 1-6 | 17% | 1-5 | 20% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 2 | N/A | Toronto |\n| Norman Powell | 13 | 2 | 2 | 1 | 0-5 | 0% | 0-2 | 0% | 2-2 | 100% | 1 | 0 | 1 | 0 | 2 | 0 | N/A | Toronto |" + } + ] + }, + { + "id": "table_recognition_train_item_114301", + "image": "table_instructV/images/Rotowire_train_table_1493.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Grizzlies | Memphis | 112 | 25 | 32 | 26 | 29 | 26 | 39 | 17 | 56 | 93 | 67 | 14 | 12 | | | | |\n| Wizards | Washington | 95 | 21 | 25 | 15 | 34 | 22 | 36 | 14 | 43 | 60 | 38 | 10 | 13 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Grizzlies | | | | | | | | | | | | | | | | | | |\n| Marc Gasol | 39 | 24 | 12 | 6 | 9-17 | 53% | 0-0 | 0% | 6-6 | 100% | 1 | 3 | 3 | 1 | 11 | 4 | C | Memphis |\n| Matt Barnes | 33 | 20 | 6 | 2 | 7-9 | 78% | 4-5 | 80% | 2-2 | 100% | 2 | 4 | 1 | 1 | 5 | 3 | F | Memphis |\n| Mike Conley | 37 | 18 | 4 | 11 | 7-14 | 50% | 2-4 | 50% | 2-2 | 100% | 2 | 2 | 0 | 1 | 3 | 1 | G | Memphis |\n| Jeff Green | 40 | 15 | 6 | 4 | 6-12 | 50% | 0-1 | 0% | 3-4 | 75% | 1 | 3 | 1 | 2 | 4 | 3 | F | Memphis |\n| Courtney Lee | 39 | 15 | 3 | 0 | 6-11 | 55% | 3-4 | 75% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 3 | G | Memphis |\n| Mario Chalmers | 19 | 12 | 1 | 1 | 5-6 | 83% | 1-1 | 100% | 1-1 | 100% | 1 | 1 | 0 | 0 | 1 | 2 | N/A | Memphis |\n| Zach Randolph | 21 | 8 | 4 | 1 | 4-7 | 57% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 1 | 3 | 2 | N/A | Memphis |\n| Russ Smith | 1 | 0 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Memphis |\n| JaMychal Green | 11 | 0 | 3 | 0 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 3 | 0 | N/A | Memphis |\n| Jarell Martin | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Tony Allen | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Vince Carter | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| James Ennis III | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| Gary Neal | 31 | 24 | 2 | 0 | 9-14 | 64% | 3-4 | 75% | 3-5 | 60% | 1 | 0 | 0 | 1 | 1 | 1 | N/A | Washington |\n| Jared Dudley | 27 | 14 | 6 | 1 | 6-10 | 60% | 2-3 | 67% | 0-2 | 0% | 1 | 1 | 0 | 2 | 4 | 1 | F | Washington |\n| Ramon Sessions | 26 | 14 | 1 | 3 | 5-8 | 63% | 0-1 | 0% | 4-5 | 80% | 1 | 3 | 0 | 0 | 1 | 0 | N/A | Washington |\n| Marcin Gortat | 26 | 10 | 9 | 0 | 4-11 | 36% | 0-0 | 0% | 2-4 | 50% | 2 | 3 | 0 | 3 | 6 | 1 | C | Washington |\n| Kelly Oubre Jr. | 17 | 8 | 4 | 1 | 3-7 | 43% | 2-3 | 67% | 0-0 | 0% | 2 | 1 | 0 | 0 | 4 | 2 | N/A | Washington |\n| Garrett Temple | 17 | 6 | 0 | 1 | 2-5 | 40% | 0-3 | 0% | 2-2 | 100% | 0 | 2 | 1 | 0 | 0 | 0 | G | Washington |\n| John Wall | 28 | 6 | 2 | 9 | 2-11 | 18% | 2-7 | 29% | 0-0 | 0% | 0 | 4 | 0 | 0 | 2 | 0 | G | Washington |\n| DeJuan Blair | 22 | 6 | 4 | 1 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 1 | 3 | 5 | N/A | Washington |\n| Kris Humphries | 18 | 5 | 5 | 2 | 2-7 | 29% | 0-2 | 0% | 1-2 | 50% | 0 | 0 | 1 | 3 | 2 | 2 | N/A | Washington |\n| Otto Porter | 27 | 2 | 3 | 4 | 1-8 | 13% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 1 | F | Washington |\n| Ryan Hollins | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Drew Gooden | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |" + } + ] + }, + { + "id": "table_recognition_train_item_68836", + "image": "table_instructV/images/TabFact_2-18652117-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| original nfl team | player | pos | college | conf |\n| --- | --- | --- | --- | --- |\n| denver broncos | john amos | rb | colorado state | ind |\n| houston oilers | willie frazier | te | arkansaspine bluff | swac |\n| houston oilers | wk hicks | cb | texas southern | swac |\n| kansas city chiefs | mack lee hill | fb | southern | swac |\n| kansas city chiefs | willie mitchell | cb | tennessee state | midwestern |\n| new york jets | bill rademacher | wr | northern michigan | n / a |\n| new york jets | john schmitt | c | hofstra | n / a |\n| san diego chargers | speedy duncan | cb | jackson state | swac |\n| san diego chargers | jimmy warren | cb | illinois | big ten |" + } + ] + }, + { + "id": "table_recognition_train_item_66250", + "image": "table_instructV/images/TabFact_2-18693518-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| date | venue | score | result | competition |\n| --- | --- | --- | --- | --- |\n| 28 march 2009 | stade mohamed v , casablanca | 1 - 0 | 2 - 1 | 2010 fifa world cup qualifier |\n| 11 august 2009 | stade des vertus , dieppe | 1 - 0 | 1 - 1 | friendly |\n| 19 may 2010 | stade françois coty , ajaccio | 2 - 0 | 3 - 0 | friendly |\n| 11 august 2010 | stade 5 juillet 1962 , algiers | 2 - 0 | 2 - 1 | friendly |\n| 17 november 2010 | parc des sports michel hidalgo , sannois | 1 - 2 | 1 - 2 | friendly |\n| 23 january 2012 | stade d'angondjé , libreville | 1 - 0 | 2 - 0 | 2012 africa cup of nations |\n| 27 january 2012 | stade d'angondjé , libreville | 1 - 1 | 3 - 2 | 2012 africa cup of nations |\n| 31 january 2012 | stade de franceville , franceville | 1 - 0 | 1 - 0 | 2012 africa cup of nations |\n| 15 june 2013 | stade de franceville , franceville | 1 - 1 | 4 - 1 | 2014 fifa world cup qualifier |\n| 15 june 2013 | stade de franceville , franceville | 2 - 1 | 4 - 1 | 2014 fifa world cup qualifier |\n| 15 june 2013 | stade de franceville , franceville | 4 - 1 | 4 - 1 | 2014 fifa world cup qualifier |" + } + ] + }, + { + "id": "table_recognition_train_item_115663", + "image": "table_instructV/images/Rotowire_train_table_2174.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wizards | Washington | 116 | 24 | 28 | 29 | 35 | 20 | 42 | 10 | 47 | 71 | 48 | 7 | 13 | | | | |\n| Magic | Orlando | 124 | 25 | 40 | 31 | 28 | 24 | 43 | 11 | 52 | 72 | 46 | 10 | 12 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| John Wall | 42 | 52 | 4 | 8 | 18-31 | 58% | 5-8 | 63% | 11-14 | 79% | 3 | 4 | 0 | 1 | 3 | 3 | G | Washington |\n| Bradley Beal | 37 | 19 | 3 | 4 | 7-18 | 39% | 3-6 | 50% | 2-4 | 50% | 0 | 3 | 0 | 1 | 2 | 3 | G | Washington |\n| Markieff Morris | 33 | 10 | 7 | 1 | 3-10 | 30% | 0-2 | 0% | 4-5 | 80% | 0 | 0 | 1 | 2 | 5 | 3 | F | Washington |\n| Marcus Thornton | 18 | 8 | 6 | 3 | 4-7 | 57% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 0 | 2 | 4 | 2 | N/A | Washington |\n| Jason Smith | 10 | 7 | 2 | 0 | 3-5 | 60% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Washington |\n| Otto Porter | 27 | 7 | 3 | 0 | 3-4 | 75% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 1 | 2 | 4 | F | Washington |\n| Marcin Gortat | 38 | 6 | 11 | 1 | 3-11 | 27% | 0-0 | 0% | 0-1 | 0% | 1 | 0 | 1 | 2 | 9 | 5 | C | Washington |\n| Kelly Oubre Jr. | 21 | 3 | 5 | 0 | 1-4 | 25% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 1 | 4 | 3 | N/A | Washington |\n| Trey Burke | 6 | 2 | 0 | 3 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Washington |\n| Andrew Nicholson | 8 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Washington |\n| Tomas Satoransky | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Daniel Ochefu | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Elfrid Payton | 35 | 25 | 1 | 9 | 9-12 | 75% | 3-3 | 100% | 4-4 | 100% | 3 | 2 | 3 | 1 | 0 | 4 | N/A | Orlando |\n| Jeff Green | 25 | 20 | 3 | 0 | 6-9 | 67% | 1-2 | 50% | 7-8 | 88% | 1 | 1 | 0 | 0 | 3 | 2 | N/A | Orlando |\n| Jodie Meeks | 16 | 18 | 2 | 1 | 5-7 | 71% | 4-5 | 80% | 4-4 | 100% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Orlando |\n| Bismack Biyombo | 31 | 14 | 13 | 2 | 4-7 | 57% | 0-0 | 0% | 6-13 | 46% | 0 | 2 | 3 | 4 | 9 | 3 | C | Orlando |\n| Serge Ibaka | 31 | 10 | 5 | 1 | 5-15 | 33% | 0-4 | 0% | 0-0 | 0% | 0 | 1 | 4 | 0 | 5 | 0 | F | Orlando |\n| Evan Fournier | 28 | 10 | 3 | 1 | 4-10 | 40% | 2-6 | 33% | 0-0 | 0% | 0 | 5 | 0 | 0 | 3 | 5 | G | Orlando |\n| Nikola Vucevic | 25 | 10 | 10 | 6 | 4-9 | 44% | 0-2 | 0% | 2-2 | 100% | 1 | 0 | 0 | 3 | 7 | 3 | N/A | Orlando |\n| Aaron Gordon | 28 | 9 | 5 | 2 | 4-9 | 44% | 1-1 | 100% | 0-0 | 0% | 1 | 0 | 2 | 0 | 5 | 0 | F | Orlando |\n| D.J. Augustin | 20 | 8 | 1 | 2 | 2-5 | 40% | 1-3 | 33% | 3-5 | 60% | 1 | 0 | 0 | 0 | 1 | 0 | G | Orlando |\n| Mario Hezonja | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| CJ Watson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Damjan Rudez | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| CJ Wilcox | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |" + } + ] + }, + { + "id": "table_recognition_train_item_102460", + "image": "table_instructV/images/ToTTo_train_table_10252.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| # | Event title | Date | Arena | Location |\n| --- | --- | --- | --- | --- |\n| 136 | Deep: Kobudo Fight Future Challenge 9 | December 19, 2010 | Kobudo Martial Arts Communication Space, Tiger Hall | Nagoya |\n| 135 | Deep: 51 Impact | December 11, 2010 | Differ Ariake | Tokyo |\n| 134 | Deep: Future King Tournament 2010 | December 11, 2010 | Differ Ariake | Tokyo |\n| 133 | Deep: 50 Impact | October 24, 2010 | JCB Hall | Tokyo |\n| 132 | Deep: Cage Impact 2010 in Hamamatsu | September 19, 2010 | Act City | Hamamatsu |\n| 131 | Deep: clubDeep Nagoya: Kobudo Fight | September 5, 2010 | Asunal Kanayama Hall | Nagoya |\n| 130 | Deep: 49 Impact | August 27, 2010 | Korakuen Hall | Tokyo |\n| 129 | Deep: clubDeep Hachioji 2 | August 1, 2010 | Keio Plaza Hotel | Tokyo |\n| 128 | Deep: Cage Impact in Nagoya | July 11, 2010 | Zepp Nagoya | Nagoya |\n| 127 | Deep: 48 Impact | July 3, 2010 | Differ Ariake | Tokyo |\n| 126 | Deep: Cage Impact 2010 in Osaka | June 6, 2010 | Zepp Osaka | Osaka |\n| 125 | Deep: clubDeep Tokyo in Shinkiba 1st Ring | May 23, 2010 | Shinkiba 1st Ring | Tokyo |\n| 124 | Deep: clubDeep Toyama: Barbarian Festival 8 | May 16, 2010 | Toyama Event Plaza | Toyama |\n| 123 | Deep: 47 Impact | April 17, 2010 | Korakuen Hall | Tokyo |\n| 122 | Deep: Kobudo Fight 9 | April 11, 2010 | Asunal Kanayama Hall | Nagoya |\n| 121 | Deep: clubDeep Tokyo in Shinjuku | March 28, 2010 | Pink Big Pig | Tokyo |\n| 120 | Deep: 46 Impact | February 28, 2010 | Korakuen Hall | Tokyo |\n| 119 | Deep: 45 Impact | January 24, 2010 | Zepp Osaka | Osaka |" + } + ] + }, + { + "id": "table_recognition_train_item_52516", + "image": "table_instructV/images/TabFact_2-11993536-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| tournament | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments |\n| australian open | a | 1r | 2r | 2r | 2r | 1r | a |\n| french open | a | q2 | 1r | q1 | 1r | 3r | 2r |\n| wimbledon | 1r | 2r | 1r | a | 1r | 1r | q1 |\n| us open | 1r | 2r | 1r | 1r | 1r | 1r | a |\n| win - loss | 0 - 2 | 2 - 3 | 1 - 4 | 1 - 2 | 1 - 4 | 2 - 4 | 1 - 1 |\n| atp masters series | atp masters series | atp masters series | atp masters series | atp masters series | atp masters series | atp masters series | atp masters series |\n| indian wells masters | a | a | 1r | 2r | 1r | 2r | a |\n| miami masters | a | a | 2r | q2 | 2r | 1r | a |\n| monte carlo masters | a | a | a | a | 3r | q1 | q2 |\n| rome masters | a | a | a | a | 1r | a | a |\n| madrid masters | a | a | a | a | a | a | q1 |\n| canada masters | a | a | a | q1 | 1r | a | 1r |\n| cincinnati masters | a | a | a | a | 2r | a | a |\n| shanghai masters | not masters series | not masters series | not masters series | a | 1r | a | 1r |\n| paris masters | a | q1 | a | q1 | 1r | a | a |\n| hamburg masters | a | q1 | 1r | not masters series | not masters series | not masters series | not masters series |\n| win - loss | 0 - 0 | 0 - 0 | 1 - 3 | 1 - 1 | 4 - 8 | 1 - 2 | 0 - 2 |\n| career statistics | career statistics | career statistics | career statistics | career statistics | career statistics | career statistics | career statistics |\n| titles - finals | 0 - 0 | 0 - 0 | 0 - 0 | 0 - 0 | 0 - 1 | 0 - 1 | 0 - 0 |\n| year end ranking | 152 | 57 | 131 | 74 | 58 | 100 | 138 |" + } + ] + }, + { + "id": "table_recognition_train_item_55570", + "image": "table_instructV/images/TabFact_1-1539201-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| 2000 : | january | february | march | april | may | june | july | august | september | october | november | december |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2001 : | january | february | march | april | may | june | july | august | september | october | november | december |\n| 2002 : | january | february | march | april | may | june | july | august | september | october | november | december |\n| 2003 : | january | february | march | april | may | june | july | august | september | october | november | december |\n| 2004 : | january | february | march | april | may | june | july | august | september | october | november | december |\n| 2005 : | january | february | march | april | may | june | july | august | september | october | november | december |\n| 2006 : | january | february | march | april | may | june | july | august | september | october | november | december |\n| 2007 : | january | february | march | april | may | june | july | august | september | october | november | december |\n| 2008 : | january | february | march | april | may | june | july | august | september | october | november | december |\n| 2009 : | january | february | march | april | may | june | july | august | september | october | november | december |\n| 2010 : | january | february | march | april | may | june | july | august | september | october | november | december |\n| 2011 : | january | february | march | april | may | june | july | august | september | october | november | december |\n| 2012 : | january | february | march | april | may | june | july | august | september | october | november | december |" + } + ] + }, + { + "id": "table_recognition_train_item_61876", + "image": "table_instructV/images/TabFact_2-16140345-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| date | visitor | score | home | leading scorer | record |\n| --- | --- | --- | --- | --- | --- |\n| 2 february 2003 | trail blazers | 114 - 95 | cavaliers | zydrunas ilgauskas (20) | 9 - 39 |\n| 4 february 2003 | cavaliers | 84 - 93 | wizards | dajuan wagner (19) | 9 - 40 |\n| 5 february 2003 | rockets | 102 - 105 | cavaliers | ricky davis (21) | 10 - 40 |\n| 11 february 2003 | cavaliers | 96 - 107 | pacers | jumaine jones (25) | 10 - 41 |\n| 12 february 2003 | timberwolves | 102 - 91 | cavaliers | ricky davis (26) | 10 - 42 |\n| 16 february 2003 | pistons | 90 - 75 | cavaliers | ricky davis (19) | 10 - 43 |\n| 18 february 2003 | bulls | 107 - 101 | cavaliers | carlos boozer (23) | 10 - 44 |\n| 21 february 2003 | sixers | 119 - 99 | cavaliers | zydrunas ilgauskas (19) | 10 - 45 |\n| 23 february 2003 | cavaliers | 103 - 116 | sixers | dajuan wagner (23) | 10 - 46 |\n| 25 february 2003 | nets | 90 - 93 | cavaliers | zydrunas ilgauskas (29) | 11 - 46 |\n| 28 february 2003 | cavaliers | 95 - 118 | timberwolves | two - way tie (16) | 11 - 47 |" + } + ] + }, + { + "id": "table_recognition_train_item_61196", + "image": "table_instructV/images/TabFact_2-17624340-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| res | record | opponent | method | event | round | time | location |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| loss | 7 - 8 - 1 | lauren taylor | decision (unanimous) | invicta fc 5: penne vs waterson | 3 | 5:00 | kansas city , missouri , united states |\n| loss | 7 - 7 - 1 | leslie smith | tko (punches) | invicta fc 3: penne vs sugiyama | 2 | 2:19 | kansas city , kansas , united states |\n| loss | 7 - 6 - 1 | liz carmouche | submission (rear - naked choke) | invicta fc 2: baszler vs mcmann | 2 | 3:34 | kansas city , kansas , united states |\n| draw | 7 - 5 - 1 | leslie smith | draw (split) | invicta fc 1: coenen vs ruyssen | 3 | 5:00 | kansas city , kansas , united states |\n| win | 7 - 5 | anna barone | tko (doctor stoppage) | driller promotions / seg - downtown showdown 2 | 2 | 5:00 | minneapolis , minnesota , united states |\n| win | 6 - 5 | liz carreiro | tko (punches) | fcf 49: fight strong for the cure | 1 | 4:47 | shawnee , oklahoma , united states |\n| loss | 5 - 5 | julie kedzie | decision (unanimous) | jackson 's mma series 4 | 5 | 5:00 | albuquerque , new mexico , united states |\n| win | 5 - 4 | julie kedzie | decision (split) | ultimate women challenge | 3 | 3:00 | st george , utah , united states |\n| loss | 4 - 4 | jennifer tate | submission (armbar) | freestyle cage fighting 39 | 2 | 2:35 | shawnee , oklahoma , united states |\n| loss | 4 - 3 | shana olsen | tko (punches and elbows) | ironman mma | 2 | 1:52 | welch , minnesota , united states |\n| loss | 4 - 2 | gina carano | tko (doctor stoppage) | elitexc : primetime | 2 | 3:00 | newark , new jersey , united states |\n| loss | 4 - 1 | sarah schneider | submission (armbar) | tuff - n - uff : thompson vs troyer | 2 | 0:35 | las vegas , nevada , united states |\n| win | 4 - 0 | patti lee | ko (knee to the body) | hooknshoot - bodogfight 2007 women 's grand prix | 1 | 0:53 | evansville , indiana , united states |\n| win | 3 - 0 | miesha tate | ko (head kick) | hooknshoot - bodogfight 2007 women 's grand prix | 1 | 0:30 | evansville , indiana , united states |\n| win | 2 - 0 | suzy smith | ko (knees) | hooknshoot - bodogfight 2007 women 's grand prix | 1 | 0:22 | evansville , indiana , united states |\n| win | 1 - 0 | lindsey frandrop | tko (kicks to the body and punches) | brutaal - fight night | 2 | 0:26 | maplewood , minnesota , united states |" + } + ] + }, + { + "id": "table_recognition_train_item_35387", + "image": "table_instructV/images/TABMWP_32213.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $465 | 12,300 | 2,400 |\n| $565 | 9,500 | 6,900 |\n| $665 | 6,700 | 11,400 |\n| $765 | 3,900 | 15,900 |\n| $865 | 1,100 | 20,400 |" + } + ] + }, + { + "id": "table_recognition_train_item_101407", + "image": "table_instructV/images/ToTTo_train_table_5923.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Date | Competition | Venue | Points |\n| --- | --- | --- | --- |\n| 15 July 2001 | AAA Junior Championships | Bedford, England | 4,711 |\n| 5 August 2001 | v France, Germany, Italy, Switzerland | Bedford, England | 4,801 |\n| 23 June 2002 | AAA Junior Championships | Wrexham, Wales | 4,837 |\n| 4 August 2002 | v Switzerland, France, Germany | Pratteln, Switzerland | 5,194 |\n| 13 July 2003 | World Youth Championships | Quebec, Canada | 5,311 |\n| 9 May 2004 | Multistars Meeting | Desenzano, Italy | 5,364 |\n| 17 July 2004 | World Junior Championships | Grosseto, Italy | 5,542 |\n| 5 May 2005 | Multistars Meeting | Salò, Italy | 5,827 |\n| 24 July 2005 | European Junior Championships | Kaunas, Lithuania | 5,891 |\n| 16 August 2005 | Summer Universiade | İzmir, Turkey | 5,910 |\n| 22 March 2006 | Commonwealth Games | Melbourne, Australia | 6,269 |\n| 8 August 2006 | European Championships | Gothenburg, Sweden | 6,287 |\n| 6 May 2007 | Multistars Meeting | Desenzano, Italy | 6,388 |\n| 8 July 2007 | European Cup Combined Events | Szczecin, Poland | 6,399 |\n| 26 August 2007 | World Championships | Osaka, Japan | 6,469 |\n| 10 May 2009 | Multistars Meeting | Desenzano, Italy | 6,587 |\n| 16 August 2009 | World Championships | Berlin, Germany | 6,731 |\n| 31 July 2010 | European Championships | Barcelona, Spain | 6,823 |\n| 27 May 2012 | Hypo Meeting | Götzis, Austria | 6,906 |\n| 4 August 2012 | Olympic Games | London, England | 6,955 |" + } + ] + }, + { + "id": "table_recognition_train_item_52402", + "image": "table_instructV/images/TabFact_2-18191407-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| shooter | event | rank points | score points | total |\n| --- | --- | --- | --- | --- |\n| zhu qinan ( chn ) | wcf 2007 | defending champion | defending champion | defending champion |\n| abhinav bindra ( ind ) | og beijing | olympic gold medalist | olympic gold medalist | olympic gold medalist |\n| henri häkkinen ( fin ) | og beijing | olympic bronze medalist | olympic bronze medalist | olympic bronze medalist |\n| alin george moldoveanu ( rou ) | wc munich | 15 | 14 | 29 |\n| péter sidi ( hun ) | wc rio de janeiro | 15 | 13 | 28 |\n| matthew emmons ( usa ) | wc beijing | 10 | 14 | 24 |\n| cao yifei ( chn ) | wc milan | 10 | 11 | 21 |\n| gagan narang ( ind ) | wc beijing | 8 | 12 | 20 |\n| thomas farnik ( aut ) | wc munich | 8 | 12 | 20 |\n| nemanja mirosavljev ( srb ) | wc rio de janeiro | 8 | 11 | 19 |\n| artur ayvazyan ( ukr ) | wc milan | 5 | 12 | 17 |" + } + ] + }, + { + "id": "table_recognition_train_item_107862", + "image": "table_instructV/images/ToTTo_train_table_32964.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Year | Opponent | Attendance |\n| --- | --- | --- |\n| 1999 | Florida State | 86,092 |\n| 1994 | South Carolina | 85,872 |\n| 2015 | Florida State | 85,573 |\n| 2000 | South Carolina | 85,187 |\n| 2001 | Florida State | 85,036 |\n| 2014 | South Carolina | 85,024 |\n| 2015 | Notre Dame | 84,892 |\n| 2001 | North Carolina | 84,869 |\n| 1988 | South Carolina | 84,867 |\n| 1988 | Florida State | 84,576 |" + } + ] + }, + { + "id": "table_recognition_train_item_108208", + "image": "table_instructV/images/ToTTo_train_table_34485.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Year | Title | Notes |\n| --- | --- | --- |\n| 1999 | Amor de Madre | Short film |\n| 1999 | El Trabajo | Short film |\n| 2000 | Torre | Short film |\n| 2001 | Loops | Short film |\n| 2006 | The Backwoods | |\n| 2007 | Gominolas | TV series |\n| 2007 | Savage Grace | |\n| 2007 | The Orphanage | Soundtrack released by Rhino Records |\n| 2008 | Shiver | Soundtrack released by MovieScore Media |\n| 2009 | Garbo: The Spy | Documentary, Soundtrack released by MovieScore Media |\n| 2009 | Spanish Movie | |\n| 2010 | Karabudjan | TV series |\n| 2010 | For The Good Of Others | |\n| 2010 | Lope | Soundtrack released by Warner Bros. Records |\n| 2010 | Julia's Eyes | |\n| 2010 | Devil | Soundtrack released by Varèse Sarabande |\n| 2011 | They Say | Short film |\n| 2011 | The Monitor | |\n| 2012 | Cuéntame un cuento | TV series |\n| 2012 | Sons of the Clouds: The Last Colony | Documentary |\n| 2012 | The Impossible | Soundtrack released by Quartet Records |\n| 2013 | Zip & Zap and the Marble Gang | |\n| 2013 | Mama | Soundtrack released by Quartet Records |\n| 2014 | Hercules | Soundtrack released by Sony Classical |\n| 2014 | 321 Days in Michigan | |\n| 2015 | Crimson Peak | Soundtrack released by Quartet Records |\n| 2016 | Pride and Prejudice and Zombies | Soundtrack released by Starr Score Holdings, LLC |\n| 2016 | A Monster Calls | Soundtrack released by Back Lot Music |\n| 2016 | Colonia | |\n| 2016 | Zipi y Zape y la Isla del Capitán | Soundtrack released by Quartet Records |\n| 2016 | Contratiempo | Soundtrack released by Sony ATV |\n| 2016 | Ozzy | Soundtrack released by Quartet Records |\n| 2017 | El Guardián Invisible | Soundtrack released by Atresmedia Música SLU |\n| 2017 | Marrowbone | Soundtrack released by Mira Mi Música |\n| 2017 | Que baje Dios y lo vea | Soundtrack released by Quartet Records |\n| 2017 | Deep | Soundtrack released by Quartet Records |\n| 2017 | Submergence | Soundtrack released by Varèse Sarabande Records |\n| 2017 | Thi Mai. Rumbo a Vietnam | Soundtrack released by Quartet Records |\n| 2017 | Que baje Dios y lo | Soundtrack released by Quartet Records |\n| 2017 | Las Leyes de la termodinámica | Soundtrack released by Quartet Records |\n| 2018 | Los futbolísimos | |\n| 2018 | Superlópez | |" + } + ] + }, + { + "id": "table_recognition_train_item_50654", + "image": "table_instructV/images/TAT-QA_19eba7b3-f932-4cd8-8741-6f07ad2038b2.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| | Twelve Months Ended December 31, | | | | |\n| --- | --- | --- | --- | --- | --- |\n| | 2019 | 2018 | 2017 | 2016 | 2015 |\n| | (Dollars in thousands) | | | | |\n| Gross Profit | $114,197 | $89,990 | $72,416 | $60,371 | $54,649 |\n| Depreciation expense (a) | 6,370 | 6,089 | 5,791 | 4,028 | 2,566 |\n| Plant start-up expense (b) | — | — | — | 1,628 | — |\n| Non-cash share-based compensation (c) | 922 | 859 | 243 | 221 | 201 |\n| Adjusted Gross Profit | $121,489 | $96,938 | $78,450 | $66,248 | $57,416 |\n| Adjusted Gross Profit as a % of Net Sales | 49.4% | 50.2% | 51.5% | 51.1% | 50.6% |" + } + ] + }, + { + "id": "table_recognition_train_item_114281", + "image": "table_instructV/images/Rotowire_train_table_1483.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pacers | Indiana | 115 | 27 | 35 | 22 | 31 | 19 | 43 | 15 | 47 | 79 | 36 | 2 | 2 | | | | |\n| Lakers | Los Angeles | 108 | 18 | 33 | 28 | 29 | 14 | 44 | 19 | 45 | 88 | 21 | 1 | 3 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| Paul George | 37 | 30 | 7 | 1 | 8-16 | 50% | 2-5 | 40% | 12-12 | 100% | 4 | 6 | 1 | 2 | 5 | 2 | F | Indiana |\n| Monta Ellis | 38 | 17 | 2 | 3 | 6-14 | 43% | 2-5 | 40% | 3-4 | 75% | 0 | 2 | 2 | 0 | 2 | 2 | G | Indiana |\n| CJ Miles | 23 | 16 | 2 | 0 | 6-9 | 67% | 2-3 | 67% | 2-2 | 100% | 1 | 1 | 1 | 1 | 1 | 1 | N/A | Indiana |\n| Thaddeus Young | 28 | 14 | 6 | 3 | 6-8 | 75% | 2-4 | 50% | 0-0 | 0% | 2 | 0 | 1 | 1 | 5 | 2 | F | Indiana |\n| Myles Turner | 25 | 9 | 6 | 2 | 2-7 | 29% | 0-1 | 0% | 5-7 | 71% | 0 | 1 | 2 | 0 | 6 | 5 | C | Indiana |\n| Jeff Teague | 33 | 9 | 6 | 6 | 4-15 | 27% | 1-7 | 14% | 0-2 | 0% | 2 | 3 | 0 | 1 | 5 | 2 | G | Indiana |\n| Aaron Brooks | 16 | 8 | 1 | 2 | 3-7 | 43% | 1-3 | 33% | 1-2 | 50% | 0 | 0 | 1 | 1 | 0 | 1 | N/A | Indiana |\n| Lavoy Allen | 19 | 4 | 3 | 1 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 2 | 1 | 1 | N/A | Indiana |\n| Kevin Seraphin | 8 | 4 | 3 | 0 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 2 | 0 | N/A | Indiana |\n| Al Jefferson | 14 | 4 | 7 | 1 | 2-6 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 2 | 5 | 4 | N/A | Indiana |\n| Glenn Robinson III | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Joe Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Georges Niang | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Lakers | | | | | | | | | | | | | | | | | | |\n| Lou Williams | 27 | 19 | 0 | 5 | 7-14 | 50% | 3-8 | 38% | 2-2 | 100% | 0 | 4 | 0 | 0 | 0 | 0 | N/A | Los Angeles |\n| Jordan Clarkson | 31 | 15 | 1 | 0 | 7-16 | 44% | 0-4 | 0% | 1-1 | 100% | 0 | 0 | 0 | 1 | 0 | 2 | N/A | Los Angeles |\n| D'Angelo Russell | 19 | 11 | 0 | 3 | 3-10 | 30% | 0-4 | 0% | 5-5 | 100% | 0 | 2 | 0 | 0 | 0 | 2 | G | Los Angeles |\n| Larry Nance Jr. | 30 | 11 | 5 | 1 | 4-10 | 40% | 0-1 | 0% | 3-4 | 75% | 6 | 3 | 1 | 4 | 1 | 3 | N/A | Los Angeles |\n| Luol Deng | 21 | 10 | 6 | 1 | 5-10 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 5 | 1 | F | Los Angeles |\n| Julius Randle | 20 | 9 | 10 | 0 | 3-6 | 50% | 0-1 | 0% | 3-3 | 100% | 1 | 3 | 0 | 0 | 10 | 6 | F | Los Angeles |\n| Jose Calderon | 17 | 9 | 2 | 2 | 3-4 | 75% | 1-2 | 50% | 2-2 | 100% | 1 | 3 | 0 | 0 | 2 | 1 | N/A | Los Angeles |\n| Nick Young | 21 | 8 | 4 | 0 | 3-6 | 50% | 2-4 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 4 | 3 | G | Los Angeles |\n| Timofey Mozgov | 19 | 6 | 5 | 0 | 3-7 | 43% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 3 | 2 | 2 | C | Los Angeles |\n| Tarik Black | 19 | 6 | 8 | 1 | 1-2 | 50% | 0-0 | 0% | 4-4 | 100% | 0 | 1 | 1 | 2 | 6 | 3 | N/A | Los Angeles |\n| Brandon Ingram | 15 | 2 | 3 | 1 | 1-4 | 25% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 2 | N/A | Los Angeles |\n| Metta World Peace | 3 | 2 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 2-4 | 50% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Los Angeles |\n| Marcelo Huertas | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |" + } + ] + }, + { + "id": "table_recognition_train_item_63134", + "image": "table_instructV/images/TabFact_2-1054921-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| date | venue | score | result | competition |\n| --- | --- | --- | --- | --- |\n| 24 march 2001 | valletta , malta | 4 - 0 | 5 - 0 | 2002 world cup qualification |\n| 12 february 2003 | cairo , egypt | 1 - 1 | 4 - 1 | friendly match |\n| 12 february 2003 | cairo , egypt | 3 - 1 | 4 - 1 | friendly match |\n| 12 february 2003 | cairo , egypt | 4 - 1 | 4 - 1 | friendly match |\n| 11 june 2003 | luxembourg , luxembourg | 1 - 0 | 2 - 0 | euro 2004 qualification |\n| 18 august 2004 | poznan , poland | 4 - 1 | 5 - 1 | friendly match |\n| 3 september 2005 | istanbul , turkey | 1 - 0 | 2 - 2 | 2006 world cup qualification |\n| 7 september 2005 | copenhagen , denmark | 1 - 0 | 6 - 1 | 2006 world cup qualification |" + } + ] + }, + { + "id": "table_recognition_train_item_53656", + "image": "table_instructV/images/TabFact_2-11627546-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| class | ships in class | pennant number | builder | commissioned |\n| --- | --- | --- | --- | --- |\n| katanpää class | katanpää | 40 | intermarine spa , sarzana , italy | 2012 - |\n| katanpää class | purunpää | 41 | intermarine spa , sarzana , italy | 2012 - |\n| katanpää class | vahterpää | 42 | intermarine spa , sarzana , italy | 2012 - |\n| kuha class | kuha 21 | 21 | laivateollisuus , turku , finland | 1974 - 1975 |\n| kuha class | kuha 23 | 23 | laivateollisuus , turku , finland | 1974 - 1975 |\n| kuha class | kuha 24 | 24 | laivateollisuus , turku , finland | 1974 - 1975 |\n| kuha class | kuha 26 | 26 | laivateollisuus , turku , finland | 1974 - 1975 |\n| kiiski class | kiiski 1 | 521 | fiskars oy , turku , finland | 1982 - 1984 |\n| kiiski class | kiiski 3 | 523 | fiskars oy , turku , finland | 1982 - 1984 |\n| kiiski class | kiiski 4 | 524 | fiskars oy , turku , finland | 1982 - 1984 |\n| kiiski class | kiiski 5 | 525 | fiskars oy , turku , finland | 1982 - 1984 |\n| kiiski class | kiiski 6 | 526 | fiskars oy , turku , finland | 1982 - 1984 |\n| kiiski class | kiiski 7 | 527 | fiskars oy , turku , finland | 1982 - 1984 |" + } + ] + }, + { + "id": "table_recognition_train_item_55956", + "image": "table_instructV/images/TabFact_1-24925945-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| name | - | position | height | weight ( lb ) | year | hometown | previous school |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| chase adams | 3 | guard | ft10in (m) | 190 | 2 senior | baltimore , md | centenary / mount saint joseph hs |\n| gilbert brown | 5 | guard / forward | ft6in (m) | 200 | 2 junior ( rs ) | harrisburg , pa | south kent school |\n| jermaine dixon | 24 | guard | ft3in (m) | 200 | 3 senior , transfer | baltimore , md | tallahassee cc / maine central inst / blake hs |\n| tim frye | 44 | guard | ft4in (m) | 205 | 2 junior | mars , pa | mars area hs |\n| ashton gibbs | 12 | guard | ft2in (m) | 190 | 1 sophomore | scotch plains , nj | seton hall prep |\n| gary mcghee | 52 | center | ft10in (m) | 250 | 2 junior | anderson , in | highland hs |\n| dwight miller | 25 | forward | ft8in (m) | 240 | 1 freshman (rs) | nassau , bahamas | st pius x hs |\n| lamar patterson | 21 | guard / forward | ft5in (m) | 220 | 1 freshman | lancaster , pa | st benedict 's prep / jp mccaskey hs |\n| jj richardson | 55 | forward | ft7in (m) | 235 | 1 freshman | missouri city , tx | fort bend hightower hs |\n| nick rivers | 14 | guard | ft0in (m) | 180 | 1 junior | phoenix , az | brophy college prep |\n| nasir robinson | 35 | forward | ft5in (m) | 220 | 1 sophomore | chester , pa | chester hs |\n| dante taylor | 11 | forward | ft9in (m) | 240 | 1 freshman | greenburgh , ny | national christian academy (md) |\n| brad wanamaker | 22 | guard | ft4in (m) | 210 | 2 junior | philadelphia , pa | roman catholic hs |\n| travon woodall | 1 | guard | ft11in (m) | 190 | 1 freshman (rs) | brooklyn , ny | st anthony hs |" + } + ] + }, + { + "id": "table_recognition_train_item_32619", + "image": "table_instructV/images/TABMWP_20014.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 12 | 5 |\n| 13 | 6 |\n| 14 | 7 |" + } + ] + }, + { + "id": "table_recognition_train_item_67936", + "image": "table_instructV/images/TabFact_2-17245554-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| player | country | year (s) won | total | to par | finish |\n| --- | --- | --- | --- | --- | --- |\n| jack nicklaus | united states | 1962 , 1967 | 290 | + 2 | 1 |\n| arnold palmer | united states | 1960 | 294 | + 6 | 3 |\n| lee trevino | united states | 1968 , 1971 | 295 | + 7 | t4 |\n| billy casper | united states | 1959 , 1966 | 300 | + 12 | t11 |\n| orville moody | united states | 1969 | 301 | + 13 | t15 |\n| gary player | south africa | 1965 | 301 | + 13 | t15 |\n| julius boros | united states | 1952 , 1963 | 305 | + 17 | t29 |\n| tony jacklin | england | 1970 | 307 | + 19 | t40 |" + } + ] + }, + { + "id": "table_recognition_train_item_62934", + "image": "table_instructV/images/TabFact_1-1108394-24.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| 1973 democratic initial primary | manhattan | the bronx | brooklyn | queens | richmond | total | % |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| abraham beame | 45901 | 41508 | 96621 | 73520 | 8912 | 266462 | 34% |\n| abraham beame | 26% | 27% | 41% | 40% | 42% | 266462 | 34% |\n| herman badillo | 73676 | 55432 | 57836 | 33990 | 2902 | 223836 | 29% |\n| herman badillo | 41% | 36% | 25% | 19% | 14% | 223836 | 29% |\n| albert h blumenthal | 41906 | 18400 | 31913 | 28960 | 2062 | 123241 | 16% |\n| albert h blumenthal | 23% | 12% | 14% | 16% | 10% | 123241 | 16% |\n| mario biaggi | 17830 | 39462 | 48352 | 45992 | 7524 | 159160 | 21% |\n| mario biaggi | 10% | 25% | 21% | 25% | 35% | 159160 | 21% |" + } + ] + }, + { + "id": "table_recognition_train_item_63286", + "image": "table_instructV/images/TabFact_2-14206085-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| games | drawn | lost | points difference | points |\n| --- | --- | --- | --- | --- |\n| 6 | 1 | 0 | 64 - 06 | 11 |\n| 6 | 1 | 0 | 61 - 15 | 11 |\n| 6 | 0 | 2 | 47 - 25 | 8 |\n| 6 | 0 | 3 | 34 - 24 | 6 |\n| 6 | 0 | 5 | 17 - 61 | 2 |\n| 6 | 0 | 5 | 24 - 89 | 2 |\n| 6 | 0 | 5 | 17 - 47 | 2 |" + } + ] + }, + { + "id": "table_recognition_train_item_32403", + "image": "table_instructV/images/TABMWP_17527.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Employee | Pay period | |\n| --- | --- |\n| Susana Clinton | October 16-31 | |\n| Total earnings | | $776.00 |\n| Federal income tax | $85.14 | |\n| Other taxes | $59.30 | |\n| Total taxes | | ? |\n| Pay after taxes | | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_50814", + "image": "table_instructV/images/TAT-QA_57213413-74c1-4c11-905b-371c9436655d.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Name | Fees earned or paid in cash ($) (1) | Stock Awards ($) (2) (3) | All other compensation ($) (4) | Total ($) |\n| --- | --- | --- | --- | --- |\n| Emanuel Pearlman | $ 50,000 | $ 39,000 | $ 750 | $ 89,750 |\n| Niv Harizman | $ 46,250 | $ 39,000 | $ 750 | $ 86,000 |\n| Alison Hoffman | $ 48,890 | $ 39,000 | $ 750 | $ 88,640 |" + } + ] + }, + { + "id": "table_recognition_train_item_107098", + "image": "table_instructV/images/ToTTo_train_table_29802.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| # | Event Title | Date | Arena | Location |\n| --- | --- | --- | --- | --- |\n| 64 | KOTC 64: Raging Bull | December 16, 2005 | Agora Theater | Cleveland, Ohio |\n| 63 | KOTC 63: Final Conflict | December 2, 2005 | Soboba Casino | San Jacinto, California |\n| 62 | KOTC: Execution Day | October 29, 2005 | Silver Legacy Casino | Reno, Nevada |\n| 61 | KOTC 61: Flash Point | September 23, 2005 | N/A | San Jacinto, California |\n| 60 | KOTC: Xtreme Edge | September 17, 2005 | N/A | Indianapolis, Indiana |\n| 59 | KOTC 58: Prime Time | August 5, 2005 | Soboba Casino | San Jacinto, California |\n| 58 | KOTC: Socorro | July 23, 2005 | N/A | Socorro, New Mexico |\n| 57 | KOTC 56: Caliente | July 9, 2005 | Apache Gold Casino | Globe, Arizona |\n| 56 | KOTC: Warzone | June 24, 2005 | N/A | Sheffield, England |\n| 55 | KOTC 55: Grudge Match | June 17, 2005 | Kiva Auditorium | Albuquerque, New Mexico |\n| 54 | KOTC 54: Mucho Machismo | June 12, 2005 | N/A | San Jacinto, California |\n| 53 | KOTC: Red Rock | May 21, 2005 | N/A | New Mexico |\n| 52 | KOTC: Mortal Sins | May 7, 2005 | N/A | Primm, Nevada |\n| 51 | KOTC 51: Natural Disaster | April 15, 2005 | N/A | El Paso, Texas |\n| 50 | KOTC 50: First Blood | March 26, 2005 | N/A | New Mexico |\n| 49 | KOTC 49: Soboba | March 20, 2005 | N/A | San Jacinto, California |\n| 48 | KOTC 48: Payback | February 25, 2005 | N/A | Cleveland, Ohio |\n| 47 | KOTC 47: Uprising | February 5, 2005 | Albuquerque Convention Center | Albuquerque, New Mexico |\n| 46 | KOTC: Australia | February 4, 2005 | N/A | Australia |" + } + ] + }, + { + "id": "table_recognition_train_item_112609", + "image": "table_instructV/images/Rotowire_train_table_647.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wizards | Washington | 109 | 21 | 35 | 30 | 23 | 18 | 50 | 11 | 48 | 72 | 47 | 20 | 19 | | | | |\n| 76ers | Philadelphia | 93 | 30 | 26 | 15 | 22 | 20 | 49 | 16 | 41 | 52 | 32 | 12 | 26 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| John Wall | 30 | 25 | 7 | 7 | 9-17 | 53% | 3-4 | 75% | 4-5 | 80% | 2 | 3 | 0 | 2 | 5 | 1 | G | Washington |\n| Bradley Beal | 27 | 20 | 4 | 1 | 8-15 | 53% | 2-3 | 67% | 2-2 | 100% | 1 | 1 | 0 | 0 | 4 | 1 | G | Washington |\n| Markieff Morris | 30 | 14 | 9 | 1 | 6-10 | 60% | 2-2 | 100% | 0-0 | 0% | 0 | 3 | 0 | 0 | 9 | 4 | F | Washington |\n| Marcin Gortat | 23 | 12 | 10 | 0 | 6-9 | 67% | 0-0 | 0% | 0-1 | 0% | 0 | 1 | 1 | 2 | 8 | 2 | C | Washington |\n| Otto Porter Jr. | 30 | 10 | 6 | 1 | 4-12 | 33% | 0-2 | 0% | 2-4 | 50% | 1 | 0 | 0 | 3 | 3 | 0 | F | Washington |\n| Jason Smith | 13 | 7 | 4 | 1 | 3-6 | 50% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 1 | 2 | 2 | 5 | N/A | Washington |\n| Kelly Oubre Jr. | 27 | 6 | 2 | 0 | 3-6 | 50% | 0-2 | 0% | 0-0 | 0% | 2 | 0 | 0 | 0 | 2 | 1 | N/A | Washington |\n| Tomas Satoransky | 21 | 4 | 4 | 2 | 0-3 | 0% | 0-0 | 0% | 4-4 | 100% | 1 | 0 | 0 | 2 | 2 | 0 | N/A | Washington |\n| Trey Burke | 18 | 4 | 3 | 4 | 2-5 | 40% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 0 | N/A | Washington |\n| Andrew Nicholson | 10 | 4 | 1 | 0 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 0 | 2 | N/A | Washington |\n| Daniel Ochefu | 3 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 2 | N/A | Washington |\n| Sheldon McClellan | 7 | 1 | 0 | 1 | 0-2 | 0% | 0-1 | 0% | 1-2 | 50% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Washington |\n| Marcus Thornton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Jahlil Okafor | 35 | 26 | 9 | 0 | 10-16 | 63% | 0-0 | 0% | 6-11 | 55% | 1 | 3 | 1 | 5 | 4 | 2 | C | Philadelphia |\n| Ersan Ilyasova | 26 | 18 | 7 | 1 | 7-13 | 54% | 3-5 | 60% | 1-2 | 50% | 1 | 0 | 0 | 3 | 4 | 1 | F | Philadelphia |\n| Timothe Luwawu-Cabarrot | 26 | 12 | 6 | 2 | 5-10 | 50% | 2-3 | 67% | 0-2 | 0% | 0 | 3 | 0 | 2 | 4 | 1 | N/A | Philadelphia |\n| Dario Saric | 26 | 9 | 4 | 1 | 3-7 | 43% | 2-5 | 40% | 1-2 | 50% | 1 | 2 | 0 | 0 | 4 | 2 | N/A | Philadelphia |\n| Robert Covington | 22 | 7 | 4 | 1 | 2-6 | 33% | 1-4 | 25% | 2-2 | 100% | 0 | 1 | 0 | 0 | 4 | 0 | F | Philadelphia |\n| Nerlens Noel | 13 | 6 | 12 | 0 | 3-7 | 43% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 0 | 5 | 7 | 5 | N/A | Philadelphia |\n| T.J. McConnell | 22 | 4 | 3 | 6 | 2-8 | 25% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 3 | 3 | G | Philadelphia |\n| Gerald Henderson | 15 | 3 | 1 | 4 | 1-4 | 25% | 0-2 | 0% | 1-2 | 50% | 0 | 1 | 1 | 0 | 1 | 1 | N/A | Philadelphia |\n| Sergio Rodriguez | 20 | 3 | 1 | 2 | 1-6 | 17% | 1-3 | 33% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 2 | N/A | Philadelphia |\n| Chasson Randle | 6 | 3 | 0 | 0 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Philadelphia |\n| Nik Stauskas | 29 | 2 | 2 | 3 | 1-9 | 11% | 0-7 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 2 | G | Philadelphia |\n| Joel Embiid | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |" + } + ] + }, + { + "id": "table_recognition_train_item_62502", + "image": "table_instructV/images/TabFact_1-17323092-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 49 | february 1 | orlando | l 90 - 113 (ot) | josé calderón (16) | joey graham (12) | josé calderón , will solomon (5) | air canada centre 19800 | 19 - 30 |\n| 50 | february 3 | cleveland | l 83 - 101 (ot) | chris bosh (29) | andrea bargnani (10) | anthony parker (8) | quicken loans arena 20562 | 19 - 31 |\n| 51 | february 4 | la lakers | l 107 - 115 (ot) | joey graham (24) | andrea bargnani , jermaine o'neal (9) | anthony parker (9) | air canada centre 19800 | 19 - 32 |\n| 52 | february 6 | new orleans | l 92 - 101 (ot) | jermaine o'neal (24) | jamario moon (7) | josé calderón (9) | new orleans arena 17319 | 19 - 33 |\n| 53 | february 7 | memphis | l 70 - 78 (ot) | josé calderón (18) | andrea bargnani , jamario moon (9) | josé calderón (5) | fedexforum 11498 | 19 - 34 |\n| 54 | february 10 | minnesota | w 110 - 102 (ot) | joey graham (24) | jamario moon (9) | josé calderón (9) | target center 12722 | 20 - 34 |\n| 55 | february 11 | san antonio | w 91 - 89 (ot) | andrea bargnani (23) | jermaine o'neal (10) | anthony parker (4) | air canada centre 18909 | 21 - 34 |\n| 56 | february 18 | cleveland | l 76 - 93 (ot) | joey graham (15) | anthony parker (7) | shawn marion (6) | air canada centre 19800 | 21 - 35 |\n| 57 | february 20 | new york | l 97 - 127 (ot) | joey graham (19) | shawn marion (12) | josé calderón (10) | madison square garden 19763 | 21 - 36 |\n| 58 | february 22 | new york | w 111 - 100 (ot) | andrea bargnani (28) | shawn marion (15) | josé calderón (11) | air canada centre 19800 | 22 - 36 |\n| 59 | february 24 | minnesota | w 118 - 110 (ot) | andrea bargnani , chris bosh (26) | shawn marion (8) | josé calderón (13) | air canada centre 17457 | 23 - 36 |" + } + ] + }, + { + "id": "table_recognition_train_item_34392", + "image": "table_instructV/images/TABMWP_1578.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $105 | 15,800 | 8,200 |\n| $155 | 12,100 | 9,900 |\n| $205 | 8,400 | 11,600 |\n| $255 | 4,700 | 13,300 |\n| $305 | 1,000 | 15,000 |" + } + ] + }, + { + "id": "table_recognition_train_item_53640", + "image": "table_instructV/images/TabFact_2-17436425-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| outcome | date | tournament | surface | opponent | score |\n| --- | --- | --- | --- | --- | --- |\n| runner - up | 14 february 2009 | brasil open , costa do sauípe , brazil | clay | tommy robredo | 3 - 6 , 6 - 3 , 4 - 6 |\n| winner | 2 august 2009 | swiss open , gstaad , switzerland | clay | andreas beck | 6 - 4 , 7 - 6 (7 - 2) |\n| winner | 7 february 2010 | movistar open , santiago , chile | clay | juan mónaco | 6 - 2 , 0 - 6 , 6 - 4 |\n| winner | 22 july 2012 | swiss open , gstaad , switzerland (2) | clay | janko tipsarević | 6 - 7 (6 - 8) , 6 - 4 , 6 - 2 |\n| runner - up | 21 october 2012 | kremlin cup , moscow , russia | hard (i) | andreas seppi | 6 - 3 , 6 - 7 (3 - 7) , 3 - 6 |" + } + ] + }, + { + "id": "table_recognition_train_item_61232", + "image": "table_instructV/images/TabFact_2-14993514-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| call sign | frequency mhz | city of license | erp w | class | fcc info |\n| --- | --- | --- | --- | --- | --- |\n| k210cb | 89.9 | broken bow , nebraska | 250 | d | fcc |\n| k211dp | 90.1 | alma , nebraska | 250 | d | fcc |\n| k214dk | 90.7 | holdrege , nebraska | 250 | d | fcc |\n| k218dy | 91.5 | holyoke , colorado | 203 | d | fcc |\n| k230ap | 93.9 | hyannis , nebraska | 250 | d | fcc |\n| k281ar | 104.1 | chappell , nebraska | 205 | d | fcc |" + } + ] + }, + { + "id": "table_recognition_train_item_102370", + "image": "table_instructV/images/ToTTo_train_table_9926.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | 32–21–2 (3) | Takanori Gomi | KO (punches) | Rizin 11 | July 29, 2018 | 1 | 2:33 | Saitama, Japan | Catchweight (74 kg) bout; Guillard missed weight. |\n| Loss | 32–20–2 (3) | Maurice Jackson | TKO (punches) | SCL 65: Destination | February 10, 2018 | 2 | 1:50 | Denver, Colorado, United States | |\n| Loss | 32–19–2 (3) | Israel Adesanya | TKO (punches) | Australian Fighting Championship 20 | July 28, 2017 | 1 | 4:48 | Melbourne, Australia | For the Interim AFC Middleweight Championship. |\n| Loss | 32–18–2 (3) | Muslim Salikhov | KO (spinning hook kick) | Kunlun Fight MMA 12 | June 1, 2017 | 1 | 1:33 | Yantai, China | Guillard missed weight. |\n| Loss | 32–17–2 (3) | Chidi Njokuani | Decision (unanimous) | Bellator 171 | January 27, 2017 | 3 | 5:00 | Mulvane, Kansas, United States | 179 lb. Catchweight |\n| NC | 32–16–2 (3) | David Rickels | NC (overturned) | Bellator 159 | July 22, 2016 | 1 | 2:14 | Mulvane, Kansas, United States | Catchweight (158 lb) bout; Guillard missed weight. Originally a KO win, overturned after Guillard tested positive for a banned substance. |\n| Loss | 32–16–2 (2) | Derek Campos | KO (punches) | Bellator 149 | February 19, 2016 | 2 | 0:32 | Houston, Texas, United States | Catchweight (158 lbs) bout; Guillard missed weight. |\n| Loss | 32–15–2 (2) | Brandon Girtz | Decision (split) | Bellator 141 | August 28, 2015 | 3 | 5:00 | Temecula, California, United States | |\n| Loss | 32–14–2 (2) | Justin Gaethje | Decision (split) | WSOF 15 | November 15, 2014 | 3 | 5:00 | Tampa, Florida, United States | Non-title bout, Guillard missed weight (159 lbs). |\n| Win | 32–13–2 (2) | Gesias Cavalcante | TKO (punches and elbows) | WSOF 11 | July 5, 2014 | 2 | 2:36 | Daytona Beach, Florida, United States | Catchweight (157 lbs) bout; Guillard missed weight. |\n| Loss | 31–13–2 (2) | Michael Johnson | Decision (unanimous) | UFC Fight Night: Gustafsson vs. Manuwa | March 8, 2014 | 3 | 5:00 | London, England, United Kingdom | |\n| NC | 31–12–2 (2) | Ross Pearson | NC (illegal knee) | UFC Fight Night: Machida vs. Munoz | October 26, 2013 | 1 | 1:57 | Manchester, England, United Kingdom | Pearson was unable to continue after being cut by an accidental illegal knee. |\n| Win | 31–12–2 (1) | Mac Danzig | KO (punches) | UFC on Fox: Johnson vs. Moraga | July 27, 2013 | 2 | 2:47 | Seattle, Washington, United States | Knockout of the Night. |\n| Loss | 30–12–2 (1) | Jamie Varner | Decision (split) | UFC 155 | December 29, 2012 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Loss | 30–11–2 (1) | Donald Cerrone | KO (head kick and punch) | UFC 150 | August 11, 2012 | 1 | 1:16 | Denver, Colorado, United States | Catchweight (157.5 lb) bout; Guillard missed weight. Fight of the Night. |\n| Win | 30–10–2 (1) | Fabrício Camões | Decision (unanimous) | UFC 148 | July 7, 2012 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Loss | 29–10–2 (1) | Jim Miller | Submission (rear-naked choke) | UFC on FX: Guillard vs. Miller | January 20, 2012 | 1 | 3:04 | Nashville, Tennessee, United States | |\n| Loss | 29–9–2 (1) | Joe Lauzon | Submission (rear-naked choke) | UFC 136 | October 8, 2011 | 1 | 0:47 | Houston, Texas, United States | |\n| Win | 29–8–2 (1) | Shane Roller | KO (punches) | UFC 132 | July 2, 2011 | 1 | 2:12 | Las Vegas, Nevada, United States | |\n| Win | 28–8–2 (1) | Evan Dunham | TKO (knees) | UFC: Fight For The Troops 2 | January 22, 2011 | 1 | 2:58 | Fort Hood, Texas, United States | Knockout of the Night. |\n| Win | 27–8–2 (1) | Jeremy Stephens | Decision (split) | UFC 119 | September 25, 2010 | 3 | 5:00 | Indianapolis, Indiana, United States | |\n| Win | 26–8–2 (1) | Waylon Lowe | TKO (knee to the body) | UFC 114 | May 29, 2010 | 1 | 3:28 | Las Vegas, Nevada, United States | |\n| Win | 25–8–2 (1) | Ronys Torres | Decision (unanimous) | UFC 109 | February 6, 2010 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Loss | 24–8–2 (1) | Nate Diaz | Submission (guillotine choke) | UFC Fight Night: Diaz vs. Guillard | September 16, 2009 | 2 | 2:13 | Oklahoma City, Oklahoma, United States | |\n| Win | 24–7–2 (1) | Gleison Tibau | Decision (split) | The Ultimate Fighter: United States vs. United Kingdom Finale | June 20, 2009 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 23–7–2 (1) | Dennis Siver | TKO (punches) | UFC 86 | July 5, 2008 | 1 | 0:36 | Las Vegas, Nevada, United States | Knockout of the Night. |\n| Win | 22–7–2 (1) | Eric Regan | Decision (unanimous) | RITC 105: Friday Night Fights | March 7, 2008 | 3 | 3:00 | Phoenix, Arizona, United States | |\n| Loss | 21–7–2 (1) | Rich Clementi | Submission (rear-naked choke) | UFC 79 | December 29, 2007 | 1 | 4:40 | Las Vegas, Nevada, United States | |\n| Loss | 21–6–2 (1) | Joe Stevenson | Submission (guillotine choke) | UFC Fight Night: Stevenson vs. Guillard | April 5, 2007 | 1 | 0:27 | Las Vegas, Nevada, United States | Guillard tested positive for benzoylecgonine (cocaine metabolite). |\n| Win | 21–5–2 (1) | Gabe Ruediger | TKO (body punch) | UFC 63 | September 23, 2006 | 2 | 1:01 | Anaheim, California, United States | |\n| Win | 20–5–2 (1) | Rick Davis | KO (punch) | UFC 60 | May 27, 2006 | 1 | 1:37 | Los Angeles, California, United States | |\n| Loss | 19–5–2 (1) | Josh Neer | Submission (triangle choke) | UFC Fight Night 3 | January 16, 2006 | 1 | 4:20 | Las Vegas, Nevada, United States | Fight of the Night. |\n| Win | 19–4–2 (1) | Marcus Davis | TKO (doctor stoppage) | The Ultimate Fighter 2 Finale | November 5, 2005 | 2 | 2:55 | Las Vegas, Nevada, United States | |\n| NC | 18–4–2 (1) | Roger Huerta | NC (overturned) | Freestyle Fighting Championships 14 | March 5, 2005 | 3 | 5:00 | Biloxi, Mississippi, United States | Originally a decision win for Guillard; overturned due to Guillard greasing between rounds. |\n| Win | 18–4–2 | Peter Kaljevic | TKO (elbows) | Freestyle Fighting Championships 14 | March 5, 2005 | 1 | 2:24 | Biloxi, Mississippi, United States | |\n| Win | 17–4–2 | Darrell Smith | TKO (punches) | Freestyle Fighting Championships 14 | March 5, 2005 | 1 | 3:07 | Biloxi, Mississippi, United States | |\n| Win | 16–4–2 | Rob Emerson | Decision (split) | RCF: Cold Hearted | February 19, 2005 | 3 | 5:00 | Biloxi, Mississippi, United States | |\n| Loss | 15–4–2 | Santino Defranco | Submission (triangle choke) | ISCF: Domination at the DAC | November 20, 2004 | 1 | 2:33 | Atlanta, Georgia, United States | |\n| Win | 15–3–2 | Jason Hathaway | TKO (punches) | ISCF: Compound Fracture | October 15, 2004 | 1 | 0:37 | Atlanta, Georgia, United States | |\n| Draw | 14–3–2 | LaVerne Clark | Draw | RCF: Duel in the Delta | September 25, 2004 | 3 | 5:00 | Tunica, Mississippi, United States | |\n| Win | 14–3–1 | Angel Nievens | Decision (unanimous) | FFC 11: Explosion | September 10, 2004 | 3 | 5:00 | Biloxi, Mississippi, United States | |\n| Loss | 13–3–1 | Ryan Stout | Submission (armbar) | Battle of New Orleans 14 | July 10, 2004 | 1 | 2:55 | New Orleans, Louisiana, United States | |\n| Draw | 13–2–1 | Lee King | Draw | Battle of New Orleans 13 | June 25, 2004 | 3 | 5:00 | New Orleans, Louisiana, United States | |\n| Win | 13–2 | Rich Miller | TKO (punches) | Extreme Challenge 58 | June 11, 2004 | 2 | 2:07 | Medina, Minnesota, United States | |\n| Win | 12–2 | Kyle Bradley | TKO (punches) | Freestyle Fighting Championships 9 | May 14, 2004 | 1 | 4:20 | Biloxi, Mississippi, United States | |\n| Loss | 11–2 | Jake Short | Decision (unanimous) | Freestyle Fighting Championships 8 | March 5, 2004 | 3 | 5:00 | Biloxi, Mississippi, United States | |\n| Loss | 11–1 | Carlo Prater | Submission (guillotine choke) | Freestyle Fighting Championships 7 | December 19, 2003 | 1 | 2:32 | Biloxi, Mississippi, United States | |\n| Win | 11–0 | Justin Wieman | TKO (punches) | ISCF: Anarchy in August | August 2, 2003 | 2 | N/A | Atlanta, Georgia, United States | |\n| Win | 10–0 | Kyle Bradley | Submission (armbar) | FFC 6: No Love | July 11, 2003 | 1 | 2:54 | Biloxi, Mississippi, United States | |\n| Win | 9–0 | Paul Purcell | TKO (punches) | Art of War 2 | June 21, 2003 | 1 | N/A | Kalispell, Montana, United States | |\n| Win | 8–0 | Diego Saraiva | KO (punches) | ISCF: May Madness | May 23, 2003 | 1 | N/A | Atlanta, Georgia, United States | |\n| Win | 7–0 | Alex Kronofsky | KO (punch) | Battle of New Orleans 6 | April 26, 2003 | 1 | 1:32 | New Orleans, Louisiana, United States | |\n| Win | 6–0 | Aaron Williams | TKO (punches) | Freestyle Fighting Championships 5 | April 25, 2003 | 1 | 1:43 | Biloxi, Mississippi, United States | |\n| Win | 5–0 | Victor Estrada | Submission (armbar) | Battle of New Orleans 5 | March 22, 2003 | 1 | 2:04 | New Orleans, Louisiana, United States | |\n| Win | 4–0 | Rod Ramirez | TKO (punches) | Battle of New Orleans 4 | February 15, 2003 | 2 | 0:32 | New Orleans, Louisiana, United States | |\n| Win | 3–0 | Joe Jordan | Decision (unanimous) | Battle of New Orleans 3 | January 18, 2003 | 2 | 5:00 | New Orleans, Louisiana, United States | |\n| Win | 2–0 | Jonathon Hargroder | KO (punch) | Battle of New Orleans 2 | December 21, 2002 | 1 | 0:31 | New Orleans, Louisiana, United States | |\n| Win | 1–0 | Calvin Martin | Decision (unanimous) | Battle of New Orleans 1 | November 16, 2002 | 2 | 5:00 | New Orleans, Louisiana | |" + } + ] + }, + { + "id": "table_recognition_train_item_116161", + "image": "table_instructV/images/Rotowire_train_table_2423.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Knicks | New York | 89 | 22 | 25 | 18 | 24 | 13 | 50 | 16 | 38 | 75 | 30 | 23 | 28 | | | | |\n| Celtics | Boston | 97 | 21 | 24 | 25 | 27 | 20 | 45 | 10 | 44 | 82 | 16 | 28 | 22 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Knicks | | | | | | | | | | | | | | | | | | |\n| Arron Afflalo | 40 | 18 | 2 | 3 | 7-16 | 44% | 2-5 | 40% | 2-4 | 50% | 1 | 4 | 0 | 0 | 2 | 0 | G | New York |\n| Robin Lopez | 37 | 17 | 13 | 2 | 6-12 | 50% | 0-0 | 0% | 5-6 | 83% | 0 | 2 | 3 | 11 | 2 | 1 | C | New York |\n| Carmelo Anthony | 35 | 16 | 14 | 4 | 4-16 | 25% | 1-5 | 20% | 7-10 | 70% | 0 | 3 | 0 | 1 | 13 | 6 | F | New York |\n| Sasha Vujacic | 18 | 13 | 3 | 1 | 4-9 | 44% | 2-4 | 50% | 3-3 | 100% | 1 | 2 | 0 | 0 | 3 | 0 | N/A | New York |\n| Kristaps Porzingis | 27 | 10 | 5 | 0 | 4-11 | 36% | 0-2 | 0% | 2-2 | 100% | 1 | 3 | 1 | 2 | 3 | 3 | F | New York |\n| Derrick Williams | 11 | 6 | 2 | 1 | 3-7 | 43% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 1 | N/A | New York |\n| Lance Thomas | 25 | 6 | 2 | 0 | 2-4 | 50% | 1-1 | 100% | 1-2 | 50% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | New York |\n| Kevin Seraphin | 4 | 2 | 0 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | New York |\n| Langston Galloway | 34 | 1 | 9 | 2 | 0-4 | 0% | 0-1 | 0% | 1-1 | 100% | 0 | 0 | 0 | 1 | 8 | 3 | G | New York |\n| Jerian Grant | 7 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | New York |\n| Thanasis Antetokounmpo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Kyle O'Quinn | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Lou Amundson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Isaiah Thomas | 37 | 20 | 5 | 8 | 7-18 | 39% | 1-5 | 20% | 5-5 | 100% | 1 | 2 | 0 | 0 | 5 | 1 | G | Boston |\n| Jae Crowder | 28 | 16 | 5 | 0 | 6-10 | 60% | 1-4 | 25% | 3-4 | 75% | 1 | 0 | 0 | 0 | 5 | 4 | F | Boston |\n| Tyler Zeller | 27 | 16 | 10 | 0 | 8-13 | 62% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 7 | 3 | 3 | N/A | Boston |\n| Evan Turner | 29 | 14 | 10 | 4 | 6-13 | 46% | 0-0 | 0% | 2-2 | 100% | 3 | 2 | 0 | 2 | 8 | 1 | N/A | Boston |\n| Kelly Olynyk | 22 | 13 | 5 | 1 | 5-8 | 63% | 1-3 | 33% | 2-2 | 100% | 0 | 1 | 1 | 2 | 3 | 3 | N/A | Boston |\n| Avery Bradley | 30 | 6 | 3 | 4 | 3-13 | 23% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 1 | 1 | 2 | 4 | G | Boston |\n| Amir Johnson | 15 | 4 | 4 | 0 | 2-3 | 67% | 0-0 | 0% | 0-2 | 0% | 0 | 0 | 0 | 0 | 4 | 2 | F | Boston |\n| Jared Sullinger | 17 | 4 | 2 | 1 | 2-6 | 33% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 0 | 2 | 3 | C | Boston |\n| Marcus Smart | 29 | 4 | 1 | 2 | 1-5 | 20% | 0-3 | 0% | 2-2 | 100% | 2 | 0 | 0 | 0 | 1 | 3 | N/A | Boston |\n| Jonas Jerebko | 7 | 0 | 0 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Boston |\n| Terry Rozier | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| David Lee | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| James Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |" + } + ] + }, + { + "id": "table_recognition_train_item_31403", + "image": "table_instructV/images/TABMWP_7280.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| | Cotton | Suede |\n| --- | --- | --- |\n| Butterfly | 3 | 2 |\n| Batwing | 4 | 2 |" + } + ] + }, + { + "id": "table_recognition_train_item_31305", + "image": "table_instructV/images/TABMWP_6261.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Number of kitchen cabinets | Number of plates |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_56150", + "image": "table_instructV/images/TabFact_2-16678369-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | september 20 , 1970 | washington redskins | w 26 - 17 | 34984 |\n| 2 | september 27 , 1970 | cleveland browns | w 34 - 31 | 37502 |\n| 3 | october 4 , 1970 | atlanta falcons | l 21 - 20 | 58850 |\n| 4 | october 11 , 1970 | los angeles rams | w 20 - 6 | 77272 |\n| 5 | october 18 , 1970 | new orleans saints | t 20 - 20 | 39446 |\n| 6 | october 25 , 1970 | denver broncos | w 19 - 14 | 39515 |\n| 7 | november 1 , 1970 | green bay packers | w 26 - 10 | 59335 |\n| 8 | november 8 , 1970 | chicago bears | w 37 - 16 | 45607 |\n| 9 | november 15 , 1970 | houston oilers | w 30 - 20 | 43040 |\n| 10 | november 22 , 1970 | detroit lions | l 28 - 7 | 56232 |\n| 11 | november 29 , 1970 | los angeles rams | l 30 - 13 | 59602 |\n| 12 | december 6 , 1970 | atlanta falcons | w 24 - 20 | 41387 |\n| 13 | december 13 , 1970 | new orleans saints | w 38 - 27 | 61940 |\n| 14 | december 20 , 1970 | oakland raiders | w 38 - 7 | 54535 |" + } + ] + }, + { + "id": "table_recognition_train_item_117163", + "image": "table_instructV/images/Rotowire_train_table_2924.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Grizzlies | Memphis | 94 | 22 | 29 | 26 | 17 | 15 | 44 | 13 | 38 | 81 | 23 | 3 | 4 | | | | |\n| Trail Blazers | Portland | 100 | 25 | 22 | 29 | 24 | 19 | 37 | 15 | 45 | 82 | 42 | 4 | 3 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Grizzlies | | | | | | | | | | | | | | | | | | |\n| Marc Gasol | 28 | 21 | 3 | 2 | 7-14 | 50% | 1-2 | 50% | 6-8 | 75% | 1 | 2 | 0 | 0 | 3 | 2 | C | Memphis |\n| Mike Conley | 31 | 16 | 4 | 7 | 5-11 | 46% | 1-5 | 20% | 5-5 | 100% | 2 | 2 | 2 | 0 | 4 | 1 | G | Memphis |\n| Zach Randolph | 20 | 15 | 7 | 2 | 6-11 | 55% | 1-1 | 100% | 2-2 | 100% | 0 | 1 | 0 | 1 | 6 | 1 | N/A | Memphis |\n| Tony Allen | 22 | 11 | 7 | 0 | 3-5 | 60% | 1-1 | 100% | 4-4 | 100% | 4 | 1 | 0 | 2 | 5 | 2 | G | Memphis |\n| Vince Carter | 26 | 11 | 5 | 1 | 4-10 | 40% | 1-5 | 20% | 2-2 | 100% | 1 | 2 | 0 | 2 | 3 | 2 | N/A | Memphis |\n| James Ennis III | 35 | 7 | 3 | 0 | 3-8 | 38% | 1-4 | 25% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 4 | N/A | Memphis |\n| Andrew Harrison | 17 | 5 | 2 | 1 | 1-6 | 17% | 0-2 | 0% | 3-5 | 60% | 1 | 0 | 0 | 0 | 2 | 2 | N/A | Memphis |\n| JaMychal Green | 33 | 5 | 8 | 2 | 2-6 | 33% | 0-3 | 0% | 1-2 | 50% | 0 | 1 | 1 | 4 | 4 | 3 | F | Memphis |\n| Jarell Martin | 7 | 3 | 2 | 0 | 0-2 | 0% | 0-0 | 0% | 3-4 | 75% | 0 | 1 | 1 | 2 | 0 | 2 | N/A | Memphis |\n| Chandler Parsons | 22 | 0 | 3 | 0 | 0-8 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 2 | 1 | 1 | 2 | 1 | F | Memphis |\n| Deyonta Davis | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Troy Williams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Wade Baldwin IV | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Trail Blazers | | | | | | | | | | | | | | | | | | |\n| CJ McCollum | 39 | 37 | 4 | 2 | 13-23 | 56% | 6-12 | 50% | 5-6 | 83% | 1 | 1 | 1 | 0 | 4 | 4 | G | Portland |\n| Damian Lillard | 33 | 19 | 7 | 7 | 3-11 | 27% | 2-8 | 25% | 11-11 | 100% | 1 | 3 | 0 | 1 | 6 | 3 | G | Portland |\n| Maurice Harkless | 34 | 18 | 7 | 0 | 8-15 | 53% | 2-5 | 40% | 0-0 | 0% | 1 | 2 | 2 | 2 | 5 | 4 | F | Portland |\n| Al-Farouq Aminu | 34 | 8 | 4 | 2 | 3-10 | 30% | 1-4 | 25% | 1-2 | 50% | 1 | 3 | 0 | 1 | 3 | 0 | F | Portland |\n| Mason Plumlee | 24 | 7 | 6 | 3 | 2-3 | 67% | 0-0 | 0% | 3-6 | 50% | 2 | 3 | 0 | 1 | 5 | 4 | C | Portland |\n| Allen Crabbe | 27 | 6 | 3 | 0 | 2-4 | 50% | 2-2 | 100% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 3 | N/A | Portland |\n| Meyers Leonard | 11 | 3 | 1 | 1 | 1-4 | 25% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 1 | 0 | 1 | 2 | N/A | Portland |\n| Ed Davis | 13 | 2 | 4 | 0 | 0-1 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 4 | 3 | N/A | Portland |\n| Evan Turner | 23 | 0 | 0 | 4 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 1 | 0 | 0 | 2 | N/A | Portland |\n| Noah Vonleh | 3 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Portland |\n| Jake Layman | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Pat Connaughton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Shabazz Napier | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |" + } + ] + }, + { + "id": "table_recognition_train_item_68838", + "image": "table_instructV/images/TabFact_2-11801795-10.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| date | opponent | score | loss | attendance | series | arena |\n| --- | --- | --- | --- | --- | --- | --- |\n| april 10 | stars | 4 - 0 | giguere (0 - 1) | 17191 | 0 - 1 | honda center |\n| april 12 | stars | 5 - 2 | giguere (0 - 2) | 17181 | 0 - 2 | honda center |\n| april 15 | stars | 4 - 2 | turco (2 - 1) | 18532 | 1 - 2 | american airlines center |\n| april 17 | stars | 3 - 1 | giguere (1 - 3) | 18532 | 1 - 3 | american airlines center |\n| april 18 | stars | 5 - 2 | turco (3 - 2) | 17199 | 2 - 3 | honda center |\n| april 20 | stars | 4 - 1 | giguere (2 - 4) | 18532 | 2 - 4 | american airlines center |" + } + ] + }, + { + "id": "table_recognition_train_item_65746", + "image": "table_instructV/images/TabFact_1-29545336-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| no | title | directed by | written by | featured character (s) | us viewers (millions) | original air date |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | tony | scott smith | bryan elsley | tony snyder | 3.26 | january 17 , 2011 |\n| 2 | tea | scott smith | bryan elsley | tea marvelli | 1.58 | january 24 , 2011 |\n| 3 | chris | scott smith | jack thorne and ryan o'nan | chris collins | 1.45 | january 31 , 2011 |\n| 4 | cadie | samir rehem | monica padrick | cadie campbell | 1.19 | february 7 , 2011 |\n| 5 | stanley | samir rehem | jamie brittain and mark hammer | stanley lucerne | 0.96 | february 14 , 2011 |\n| 6 | abbud | scott smith | matt pelfrey | abbud siddiqui | 0.97 | february 21 , 2011 |\n| 7 | michelle | samir rehem | maisha closson | michelle richardson | 1.17 | february 28 , 2011 |\n| 8 | daisy | samir rehem | jamie brittain and bryan elsley | daisy valero | 1.09 | march 7 , 2011 |\n| 9 | tina | scott smith | derek harvie | tina nolan | 1.11 | march 14 , 2011 |" + } + ] + }, + { + "id": "table_recognition_train_item_106389", + "image": "table_instructV/images/ToTTo_train_table_26885.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| Climate data for Berwick-upon-Tweed 22m asl, 1981–2010 |\n| --- |\n| Month | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Year |\n| Average high °C (°F) | 6.8 (44.2) | 7.1 (44.8) | 8.8 (47.8) | 10.4 (50.7) | 13.4 (56.1) | 15.6 (60.1) | 17.9 (64.2) | 17.6 (63.7) | 16.0 (60.8) | 12.8 (55.0) | 9.3 (48.7) | 6.9 (44.4) | 11.9 (53.4) |\n| Average low °C (°F) | 1.7 (35.1) | 1.8 (35.2) | 3.1 (37.6) | 4.4 (39.9) | 6.6 (43.9) | 9.4 (48.9) | 11.4 (52.5) | 11.2 (52.2) | 9.4 (48.9) | 6.7 (44.1) | 4.1 (39.4) | 1.8 (35.2) | 6.0 (42.8) |\n| Average precipitation mm (inches) | 45.0 (1.77) | 35.9 (1.41) | 42.1 (1.66) | 35.8 (1.41) | 47.1 (1.85) | 47.3 (1.86) | 61.2 (2.41) | 59.4 (2.34) | 54.5 (2.15) | 59.1 (2.33) | 54.3 (2.14) | 47.4 (1.87) | 589.2 (23.20) |\n| Mean monthly sunshine hours | 59.8 | 91.8 | 113.8 | 159.3 | 196.3 | 174.8 | 182.5 | 167.3 | 135.2 | 103.7 | 72.9 | 51.2 | 1,508.5 |\n| Source: Met Office |" + } + ] + }, + { + "id": "table_recognition_train_item_49548", + "image": "table_instructV/images/TAT-QA_9a214b31-4dad-417d-83aa-b54692b2a785.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| USDm | 2019 | 2018 | 2017 |\n| --- | --- | --- | --- |\n| Total staff costs | | | |\n| Staff costs included in operating expenses | 8.1 | 9.3 | 9.2 |\n| Staff costs included in administrative expenses | 37.7 | 36.9 | 34.6 |\n| Total | 45.8 | 46.2 | 43.8 |\n| Staff costs comprise the following | | | |\n| Wages and salaries | 37.2 | 38.1 | 36.4 |\n| Share-based compensation | 1.9 | 2.1 | 1.9 |\n| Pension costs | 3.5 | 3.3 | 3.1 |\n| Other social security costs | 0.9 | 0.6 | 0.3 |\n| Other staff costs | 2.3 | 2.1 | 2.1 |\n| Total | 45.8 | 46.2 | 43.8 |\n| Average number of permanent employees | | | |\n| Seafarers | 107.6 | 111.7 | 130.6 |\n| Land-based | 313.5 | 302.2 | 286.6 |\n| Total | 421.1 | 413.9 | 417.2 |" + } + ] + }, + { + "id": "table_recognition_train_item_102492", + "image": "table_instructV/images/ToTTo_train_table_10427.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Year | Name | Hometown | Age | Local Title | Miss America Talent | Placement at Miss America | Special scholarships at Miss America | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2018 | Alexis Hilts | Las Vegas | 23 | Miss UNLV | Piano, \"Transcendental Étude No. 4\" by Franz Liszt | | STEM Scholarship Award | Previously Miss Nevada's Outstanding Teen 2008 |\n| 2017 | Andrea Martinez | Las Vegas | 23 | Miss Clark County | Vocal, “His Eye in on the Sparrow” | | STEM Scholarship Award Finalist | |\n| 2016 | Bailey Gumm | Minden | 20 | Miss Pleasant Valley | Tap Dance \"Sax\" by Fleur East | | Quality of Life Award Finalist | Previously Miss Nevada's Outstanding Teen 2011 Contestant at National Sweetheart 2014 pageant |\n| 2015 | Katherine Kelley | Madisonville | 23 | Miss Summerlin | Piano, \"Etude in D Minor\" | | STEM Scholarship Award Finalist | |\n| 2014 | Ellie Smith | Henderson | 17 | Miss North East Nevada | Vocal \"Somebody to Love\" | | Non-finalist Talent Award | Sister of Miss Nevada's Outstanding Teen 2014, Amy Smith Previously Miss Nevada's Outstanding Teen 2012 |\n| 2013 | Diana Sweeney | Mound House | 19 | Miss Carson City | Lyrical dance \"Roads\" | | | Contestant at National Sweetheart 2012 pageant |\n| 2012 | Randi Sundquist | Elko | 22 | Miss Southern Counties | Contemporary Jazz \"I Won't Give Up\" | | | |\n| 2011 | Alana Lee | Las Vegas | 21 | Miss Clark County | Vocal \"At This Moment\" | | | |\n| 2010 | Cris Crotz | Mesquite | 24 | Miss Southern Counties | Popular Vocal \"Alone\" | | | |\n| 2009 | Christina Keegan | Gardnerville | 23 | Miss Northern Counties | Ballet en Pointe \"Bohemian Rhapsody\" | | Quality of Life Award 2nd runner-up | |\n| 2008 | Julianna Erdesz | Reno | 24 | Miss Carson City | Vocal | | | Later Miss Nevada USA 2010 |\n| 2007 | Caleche Manos | Reno | 23 | Miss Carson City | Vocal \"Love Is a Battlefield\" | | Quality of Life Award Winner | Contestant at National Sweetheart 2006 pageant |\n| 2006 | Caydi Cole | Las Vegas | 22 | Miss Clark County | Vocal \"Blues in the Night\" | | | |\n| 2005 | Crystal Wosik | Las Vegas | 23 | Miss Las Vegas | Lyrical Dance \"Don't Rain on My Parade\" | | | |\n| 2004 | Elizabeth Muto | Las Vegas | 24 | Miss Las Vegas | Dramatic Monologue \"Who Will Cry?\" | | Non-finalist Interview Award Quality of Life Award 2nd runner-up | Received Presidential Volunteer Service Award from President George W. Bush |\n| 2003 | Christina O'Neil | Carson City | 24 | Miss Gold Country | Vocal \"Your Daddy's Son\" from Ragtime | | | Contestant at National Sweetheart 1999 pageant |\n| 2002 | Teresa Benitez | Reno | 24 | Miss Silver State | Dramatic Monologue from \"The Laramie Project\" | 3rd runner-up | Overall Interview Award Preliminary Interview Award Quality of Life Award Winner | Majority Floor Leader of the Nevada Assembly |\n| 2001 | Ashley Huff | Las Vegas | 21 | Miss Las Vegas | Polynesian Dance \"Welcome to Polynesia\" | | | Later Miss Nevada USA 2003 |\n| 2000 | Tiffanie Story | Reno | 19 | Miss UNR/Truckee Meadows | Vocal \"Ain't Misbehavin'\" | | Non-finalist Talent Award | |\n| 1999 | Gina Giacinto | Las Vegas | 24 | Miss Las Vegas | Original Vocal Presentation \"Dreams Were Given Wings To Fly\" | | Preliminary Swimsuit Award | Later Miss Nevada USA 2001 and 3rd runner-up at Miss USA 2001 |\n| 1998 | Anna Carpenter | Mesquite | 18 | Miss Mesquite | Monologue | | | |\n| 1997 | Amanda Gunderson | Reno | 19 | Miss Northern Counties | Classical Vocal \"Der Hölle Rache kocht in meinem Herzen\" | | | |\n| 1996 | Annette Albertson | Reno | 24 | Miss Truckee Meadows | Vocal \"Luck Be a Lady\" | | | |\n| 1995 | Jennifer Joseph-Lier | Wendover | 24 | Miss Elko County/Northeast Nevada | Vocal \"I Am Changing\" | | Non-finalist Talent Award | Contestant on the E! reality show \"The Entertainer\" |\n| 1994 | Laura Hubach | Reno | 22 | Miss Reno | Classical Piano | | | |\n| 1993 | Mitzie Cox | Sparks | 20 | Miss Sparks | Vocal / Dance \"I'm a Brass Band\" from Sweet Charity | | | |\n| 1992 | Sandra Dornak | Las Vegas | 25 | Miss Las Vegas | Ventriloquism \"Super califragilistic expialidocious\" | | | |\n| 1991 | Malia Winn | Minden | 17 | Miss Douglas County | Interpretive Ballet \"Somewhere in Time\" | | | |\n| 1990 | Tia Marie Zorne | Las Vegas | 21 | Miss Las Vegas | Acro-Jazz Dance \"Julie's Theme\" from American Anthem | | | |\n| 1989 | Brenda Linscott | Incline Village | 23 | Miss Cosmopolitan Counties | Vocal \"Memory\" | | | |\n| 1988 | Deborah Schuler | Incline Village | 22 | Miss Cosmopolitan Counties | Vocal \"The Woman in the Moon\" from A Star Is Born | | | |\n| 1987 | Stacie James | Las Vegas | 23 | Miss Las Vegas | Vocal \"On My Own\" from Les Misérables | 2nd runner-up | Preliminary Talent Award | |\n| 1986 | Kelsey Kara | Las Vegas | 23 | Miss Las Vegas | Flamenco Dance | | | |\n| 1985 | Sonja Nall | Las Vegas | 23 | Miss Las Vegas | Classical Ballet en Pointe \"Kitri's Variation\" from Don Quixote | | Non-finalist Talent Award | Toured with 1986 Miss America Gillette Show Troupe |\n| 1984 | LeAnna Grant | Las Vegas | 22 | Miss Las Vegas | Vocal \"I Love Paris\" | | | Later Miss Nevada USA 1986 |\n| 1983 | Kim Pacini | Incline Village | 24 | Miss North Lake Tahoe | Vocal \"You're the Top\" | | | |\n| 1982 | Kim King | Las Vegas | 21 | Miss Clark County | Banjo Solo \"Waiting for the Robert E. Lee\" | | | |\n| 1981 | Suzanne Bowman | Reno | 20 | Miss Reno | Modern Rhythmic Gymnastics \"Zero to Sixty in Five\" | | | |\n| 1980 | Phyllis Hamlin | Reno | 23 | Miss Reno | Piano Solo \"Warsaw Concerto\" | | | |\n| 1979 | Jeanne Cangemi | North Lake Tahoe | 22 | Miss North Lake Tahoe | Classical & Jazz Saxophone \"Harlem Nocturne\" & \"Csárdás\" | | | |\n| 1978 | Megan Anderson | Reno | 19 | Miss Washoe County | Classical Vocal \"Vissi d'arte\" | | Non-finalist Talent Award | |\n| 1977 | Lori Isom | Las Vegas | 18 | Miss Clark County | Jazz Dance \"Classical Blues\" | | | |\n| 1976 | Sandra Kastel | Las Vegas | 21 | Miss Las Vegas | Vocal \"My Man\" | | Non-finalist Talent Award | |\n| 1975 | Sherri Ann Lowe | Las Vegas | 21 | Miss Las Vegas | Baton Twirling / Variety Act | | | |\n| 1974 | Jacqueline Barker | Sparks | 19 | Miss Sparks | Popular Vocal \"The Way We Were\" | | | |\n| 1973 | Echo Rost | Sparks | 20 | Miss Sparks | Modern Jazz Dance \"I Feel the Earth Move\" | | Neat As A Pin Award (tie) | |\n| 1972 | Helen Bennett | Reno | 23 | Miss Reno | Classical ballet \"Dance of the Gypsy\" | | Non-finalist Talent Award | |\n| 1971 | Joan Burachio | Las Vegas | 21 | Miss Las Vegas | Accordion \"Csárdás\" | Top 10 | | |\n| 1970 | Vicky Jo Todd | Sparks | 20 | Miss Sparks | Vocal / Guitar \"Time\" | | Non-finalist Talent Award | Toured with Miss America USO Troupe |\n| 1969 | Karen Wastun | Yerington | 21 | Miss Lyon County | Dramatic Presentation \"Lizzie\" from The Rainmaker | | | |\n| 1968 | Sharon Davis | Reno | 19 | Miss University of Nevada | Classical Vocal \"Quando me'n vo'\" | | | |\n| 1967 | Vicky Landeck | Reno | 18 | Miss Reno | Dramatic Reading \"Ruth, the Moabitess\" by N.A. Truell | | | |\n| 1966 | Roberta Sharp | Carson City | 18 | Miss Carson City | Piano Solo | | | |\n| 1965 | Kathryn Blaikie | Carson City | 18 | Miss Carson City | Musical Comedy \"I'm Late\" | | Preliminary Swimsuit Award | |\n| 1964 | Ellen Roseman | Sparks | 21 | Miss South Lake Tahoe | Comedy Skit | | | |\n| 1963 | Cheryle Thompson | Las Vegas | | Miss Las Vegas | Folk Singing \"My Lover Has Gone\" | Top 10 | | |\n| 1962 | Audrey Chambers | Las Vegas | 19 | | Baton Twirling, Fire Baton & Dance | | | |\n| 1961 | Sherry Wagner | Reno | 19 | | Tap Dance \"Oh Them Golden Slippers\" | | | |\n| 1960 | Nancy Bowen | McGill | 19 | | Humorous Reading while accompanying herself on the Piano | | | |\n| 1959 | Dawn Wells | Reno | 20 | | Dramatic Reading \"Antigone\" | | | Played role of Mary Ann on Gilligan's Island |\n| 1958 | Judy Wadsworth | Sparks | | | Dramatic Monologue \"The Lark\" | | | |\n| 1957 | Loni Gravelle | Reno | | | Piano \"Grieg's Piano Concerto In A Minor\" | Top 10 | | |\n| 1956 | Carmen Ruggeroli | Las Vegas | | | Vocal | | | |\n| 1955 | Vivienne Potter | Reno | | | Dramatic Monologue \"An Address to the Jury\" | | | |\n| 1954 | Janice Babcock | Reno | | | Ballet \"Blues\" | | | |\n| 1953 | Jeannine McColl | Las Vegas | | | Dance | | | |\n| 1952 | Bonnie Wilson | Reno | | | Ballet \"Something to Dance About\" | | | Assumed the title after the original winner, Sylvia Russell, chose to marry. |\n| 1951 | Donna Sollars | Reno | | | Vocal & ukulele \"Has Anybody Seen My Gal?\" & \"Can't Help Lovin' Dat Man\" | | | |\n| 1950 | Tosca Masini | Sparks | | | Comedy Characterization | Top 16 | | |\n| 1949 | Carol Lampe | Reno | | | Speech \"4-H\" | | | |" + } + ] + }, + { + "id": "table_recognition_train_item_34655", + "image": "table_instructV/images/TABMWP_9306.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Location | Temperature (°F) |\n| --- | --- |\n| Death Valley | 134 |\n| Vostok Station | -128 |" + } + ] + }, + { + "id": "table_recognition_train_item_65958", + "image": "table_instructV/images/TabFact_2-16508558-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| round | circuit | date | pole position | fastest lap | winning driver | winning team |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | oulton park | 24 march | jaime alguersuari | john martin | oliver turvey | carlin motorsport |\n| 2 | oulton park | 24 march | jaime alguersuari | jaime alguersuari | jaime alguersuari | carlin motorsport |\n| 3 | croft | 27 april | marcus ericsson | max chilton | sergio pérez | t - sport |\n| 4 | croft | 27 april | brendon hartley | sergio pérez | brendon hartley | carlin motorsport |\n| 5 | monza | 17 may | matteo chinosi | esteban guerrieri | sergio pérez | t - sport |\n| 6 | monza | 18 may | max chilton | esteban guerrieri | sergio pérez | t - sport |\n| 7 | rockingham | 26 may | max chilton | jaime alguersuari | atte mustonen | räikkönen robertson racing |\n| 8 | rockingham | 26 may | jaime alguersuari | oliver turvey | sebastian hohenthal | fortec motorsport |\n| 9 | snetterton | 8 june | michael devaney | marcus ericsson | michael devaney | ultimate motorsport |\n| 10 | snetterton | 8 june | brendon hartley | jaime alguersuari | michael devaney | ultimate motorsport |\n| 11 | thruxton | 29 june | jaime alguersuari | marcus ericsson | brendon hartley | carlin motorsport |\n| 12 | thruxton | 29 june | brendon hartley | oliver turvey | brendon hartley | carlin motorsport |\n| 13 | brands hatch | 13 july | jaime alguersuari | jaime alguersuari | jaime alguersuari | carlin motorsport |\n| 14 | brands hatch | 13 july | marcus ericsson | marcus ericsson | sergio pérez | t - sport |\n| 15 | spa - francorchamps | 1 august | oliver turvey | brendon hartley | oliver turvey | carlin motorsport |\n| 16 | spa - francorchamps | 2 august | oliver turvey | brendon hartley | brendon hartley | carlin motorsport |\n| 17 | silverstone | 16 august | oliver turvey | oliver turvey | oliver turvey | carlin motorsport |\n| 18 | silverstone | 16 august | brendon hartley | oliver turvey | oliver turvey | carlin motorsport |\n| 19 | bucharest | 23 august | brendon hartley | marcus ericsson | brendon hartley | carlin motorsport |\n| 20 | bucharest | 24 august | oliver turvey | brendon hartley | jaime alguersuari | carlin motorsport |\n| 21 | donington park | 12 october | jaime alguersuari | jaime alguersuari | jaime alguersuari | carlin motorsport |\n| 22 | donington park | 12 october | oliver oakes | brendon hartley | jaime alguersuari | carlin motorsport |" + } + ] + }, + { + "id": "table_recognition_train_item_57418", + "image": "table_instructV/images/TabFact_2-1526491-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| year | name | country | language (s) | literary tradition |\n| --- | --- | --- | --- | --- |\n| 2005 | ismail kadare | albania | albanian | albanian literature |\n| 2007 | chinua achebe | nigeria | english | nigerian literature |\n| 2009 | alice munro | canada | english | canadian literature |\n| 2011 | philip roth | united states | english | american literature |\n| 2013 | lydia davis | united states | english | american literature |" + } + ] + }, + { + "id": "table_recognition_train_item_34820", + "image": "table_instructV/images/TABMWP_14694.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $970 | 16,800 | 2,100 |\n| $1,030 | 14,200 | 5,500 |\n| $1,090 | 11,600 | 8,900 |\n| $1,150 | 9,000 | 12,300 |\n| $1,210 | 6,400 | 15,700 |" + } + ] + }, + { + "id": "table_recognition_train_item_33247", + "image": "table_instructV/images/TABMWP_27406.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 12 | 13 |\n| 13 | 8 |\n| 14 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_116443", + "image": "table_instructV/images/Rotowire_train_table_2564.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Warriors | Golden State | 114 | 32 | 33 | 29 | 20 | 32 | 39 | 9 | 51 | 60 | 39 | 22 | 3 | | | | |\n| Thunder | Oklahoma City | 109 | 40 | 23 | 26 | 20 | 17 | 43 | 15 | 48 | 67 | 44 | 12 | 14 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 42 | 34 | 7 | 9 | 14-24 | 58% | 5-12 | 42% | 1-1 | 100% | 4 | 4 | 1 | 4 | 3 | 0 | G | Golden State |\n| Klay Thompson | 35 | 19 | 2 | 5 | 7-15 | 47% | 2-4 | 50% | 3-3 | 100% | 1 | 1 | 1 | 0 | 2 | 0 | G | Golden State |\n| Draymond Green | 44 | 16 | 9 | 9 | 7-14 | 50% | 1-5 | 20% | 1-4 | 25% | 1 | 2 | 1 | 2 | 7 | 4 | F | Golden State |\n| Shaun Livingston | 19 | 12 | 2 | 1 | 6-9 | 67% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | Golden State |\n| Harrison Barnes | 34 | 12 | 7 | 1 | 5-11 | 46% | 2-4 | 50% | 0-0 | 0% | 2 | 0 | 0 | 2 | 5 | 3 | F | Golden State |\n| Marreese Speights | 19 | 10 | 5 | 1 | 5-10 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 2 | 1 | 4 | 2 | N/A | Golden State |\n| Andre Iguodala | 30 | 7 | 4 | 5 | 2-6 | 33% | 2-4 | 50% | 1-2 | 50% | 1 | 1 | 1 | 0 | 4 | 1 | N/A | Golden State |\n| Festus Ezeli | 10 | 4 | 2 | 1 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 2 | 3 | C | Golden State |\n| Justin Holiday | 7 | 0 | 1 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Golden State |\n| Brandon Rush | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Leandro Barbosa | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Ognjen Kuzmic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Russell Westbrook | 40 | 33 | 3 | 8 | 11-30 | 37% | 3-10 | 30% | 8-12 | 67% | 2 | 6 | 0 | 1 | 2 | 2 | G | Oklahoma City |\n| Kevin Durant | 19 | 30 | 2 | 2 | 10-13 | 77% | 5-6 | 83% | 5-7 | 71% | 0 | 2 | 1 | 0 | 2 | 1 | F | Oklahoma City |\n| Serge Ibaka | 34 | 12 | 6 | 2 | 5-8 | 63% | 2-2 | 100% | 0-0 | 0% | 1 | 4 | 3 | 3 | 3 | 3 | F | Oklahoma City |\n| Andre Roberson | 34 | 10 | 12 | 3 | 4-8 | 50% | 1-3 | 33% | 1-2 | 50% | 1 | 0 | 0 | 2 | 10 | 2 | G | Oklahoma City |\n| Steven Adams | 14 | 6 | 5 | 0 | 3-4 | 75% | 0-0 | 0% | 0-1 | 0% | 0 | 1 | 0 | 1 | 4 | 1 | C | Oklahoma City |\n| Anthony Morrow | 27 | 4 | 3 | 0 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 2 | 1 | N/A | Oklahoma City |\n| Perry Jones III | 19 | 4 | 5 | 0 | 2-7 | 29% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 5 | 1 | N/A | Oklahoma City |\n| Jeremy Lamb | 14 | 4 | 4 | 0 | 1-2 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 4 | 0 | N/A | Oklahoma City |\n| Reggie Jackson | 23 | 4 | 2 | 1 | 2-8 | 25% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 2 | N/A | Oklahoma City |\n| Kendrick Perkins | 16 | 2 | 1 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 2 | N/A | Oklahoma City |\n| Ish Smith | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Nick Collison | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Lance Thomas | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |" + } + ] + }, + { + "id": "table_recognition_train_item_69206", + "image": "table_instructV/images/TabFact_2-1590321-9.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| rank | name | years | matches | goals |\n| --- | --- | --- | --- | --- |\n| 1 | roberto dinamite | 1971 - 1989 | 328 | 190 |\n| 2 | romário | 1986 - 2008 | 252 | 154 |\n| 3 | edmundo | 1990 - 2008 | 316 | 153 |\n| 4 | zico | 1974 - 1989 | 249 | 135 |\n| 5 | túlio | 1987 - 2001 | 240 | 129 |\n| 6 | serginho chulapa | 1975 - 1988 | 184 | 127 |\n| 7 | washington | 1997 - 2010 | 201 | 125 |\n| 8 | dadá maravilha | 1971 - 1985 | 240 | 113 |\n| 9 | kléber pereira | 1999 - present | 195 | 103 |\n| 10 | ramon | 1990 - present | 368 | 98 |" + } + ] + }, + { + "id": "table_recognition_train_item_69422", + "image": "table_instructV/images/TabFact_2-11552751-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| yard name | location (city , state) | 1st ship delivery date | total number of ways | total vessels built |\n| --- | --- | --- | --- | --- |\n| moore dry dock company | oakland , california | july 1940 | 4 ways | __ ships for usmc (remainder for usn) |\n| bethlehem steel corp | san francisco , california | february 1941 | number | 5 ships for usmc (remainder for usn) |\n| seattle - tacoma shipbuilding | tacoma , washington | april 1941 | 8 ways | __ ships for usmc (remainder for usn) |\n| western pipe & steel corp | south san francisco , california | april 1941 | 4 ways | __ ships for usmc |\n| kaiser permanente (richmond yard 1) | richmond , california | august 1941 | 7 ways | 30 ships for uk , __ ships for usmc |\n| kaiser permanente (richmond yard 2) | richmond , california | september 1941 | 12 ways | __ ships for usmc |\n| consolidated steel corp | wilmington , california | september 1941 | 8 ways | __ ships for usmc |\n| oregon shipbuilding co | portland , oregon | january 1942 | 11 ways | __ ships for usmc |\n| california shipbuilding corp (calship) | terminal island , los angeles , california | february 1942 | 14 ways | __ ships for usmc |\n| kaiser company , inc | vancouver , washington | july 1942 | 12 ways | __ ships for usmc |\n| marinship corp | sausalito , california | october 1942 | 6 ways | __ ships for usmc |\n| pacific bridge co | alameda , california | december 1942 | 2 ways (basins) | 9 ships for usmc (remainder for usn) |\n| kaiser company , inc | swan island , portland , oregon | december 1942 | 8 ways | __ ships for usmc |\n| kaiser cargo (richmond yard 4) | richmond , california | april 1943 | 3 ways | __ ships for usmc |\n| kaiser shipbuilding (richmond yard 3) | richmond , california | august 1943 | 5 ways (basins) | __ ships for usmc |\n| bethlehem steel corp | alameda , california | august 1944 | 4 ways | 10 ships for usmc |" + } + ] + }, + { + "id": "table_recognition_train_item_33667", + "image": "table_instructV/images/TABMWP_31358.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 7 | 10 |\n| 10 | 1 |\n| 7 | 5 |" + } + ] + }, + { + "id": "table_recognition_train_item_67044", + "image": "table_instructV/images/TabFact_2-1851722-31.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| year | game | genre | platform (s) | developer (s) |\n| --- | --- | --- | --- | --- |\n| 2005 | resident evil 4 | survival horror : ( third - person ) shooter | gamecube , playstation 2 , windows , wii | capcom production studio 4 |\n| 2006 | the legend of zelda : twilight princess | action - adventure | wii , nintendo gamecube | nintendo ead software development group no 3 |\n| 2007 | super mario galaxy | platformer | wii | nintendo ead tokyo development group |\n| 2008 | grand theft auto iv | open world : ( third - person ) shooter | windows , playstation 3 , xbox 360 | rockstar north ltd |\n| 2009 | call of duty : modern warfare 2 | ( first - person ) shooter | microsoft windows , playstation 3 , xbox 360 | infinity ward |\n| 2010 | mass effect 2 | action rpg : ( third - person ) shooter | xbox 360 , windows , playstation 3 | bioware |\n| 2011 | uncharted 3: drake 's deception | action - adventure | playstation 3 | naughty dog |\n| 2012 | xcom : enemy unknown | turn - based strategy | xbox 360 , playstation 3 , windows | firaxis games |" + } + ] + }, + { + "id": "table_recognition_train_item_34944", + "image": "table_instructV/images/TABMWP_18599.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 7 | 1 |\n| 8 | 9 |\n| 9 | 18 |" + } + ] + }, + { + "id": "table_recognition_train_item_55292", + "image": "table_instructV/images/TabFact_2-12115367-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| race | circuit | location / state | date | winner | team |\n| --- | --- | --- | --- | --- | --- |\n| 1 | phillip island grand prix circuit | phillip island , victoria | 4 - 5 march | paul morris | paul morris motorsport |\n| 2 | phillip island grand prix circuit | phillip island , victoria | 4 - 5 march | paul morris | paul morris motorsport |\n| 1 | oran park raceway | sydney , new south wales | 1 - 2 apr | greg murphy | brad jones racing |\n| 2 | oran park raceway | sydney , new south wales | 1 - 2 apr | geoff brabham | paul morris motorsport |\n| 1 | symmons plains raceway | launceston , tasmania | 6 - 7 may | paul morris | paul morris motorsport |\n| 2 | symmons plains raceway | launceston , tasmania | 6 - 7 may | geoff brabham | paul morris motorsport |\n| 1 | calder park raceway | melbourne , victoria | 12 - 13 may | geoff brabham | paul morris motorsport |\n| 2 | calder park raceway | melbourne , victoria | 12 - 13 may | paul morris | paul morris motorsport |\n| 1 | mallala motor sport park | mallala , south australia | 3 - 4 jun | geoff brabham | paul morris motorsport |\n| 2 | mallala motor sport park | mallala , south australia | 3 - 4 jun | geoff brabham | paul morris motorsport |\n| 1 | lakeside international raceway | brisbane , queensland | 22 - 23 jul | paul morris | paul morris motorsport |\n| 2 | lakeside international raceway | brisbane , queensland | 22 - 23 jul | paul morris | paul morris motorsport |\n| 1 | winton motor raceway | benalla , victoria | 12 - 13 aug | paul morris | paul morris motorsport |\n| 2 | winton motor raceway | benalla , victoria | 12 - 13 aug | brad jones | brad jones racing |\n| 1 | eastern creek raceway | sydney , new south wales | 25 - 26 aug | brad jones | brad jones racing |\n| 2 | eastern creek raceway | sydney , new south wales | 25 - 26 aug | paul morris | paul morris motorsport |" + } + ] + }, + { + "id": "table_recognition_train_item_55150", + "image": "table_instructV/images/TabFact_2-12828987-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | september 14 , 1969 | houston oilers | w 21 - 17 | 49361 |\n| 2 | september 20 , 1969 | miami dolphins | w 20 - 17 | 50277 |\n| 3 | september 28 , 1969 | boston patriots | w 38 - 23 | 19069 |\n| 4 | october 4 , 1969 | miami dolphins | t 20 - 20 | 35614 |\n| 5 | october 12 , 1969 | denver broncos | w 24 - 14 | 49511 |\n| 6 | october 19 , 1969 | buffalo bills | w 50 - 21 | 54418 |\n| 7 | october 26 , 1969 | san diego chargers | w 24 - 12 | 54008 |\n| 8 | november 2 , 1969 | cincinnati bengals | l 31 - 17 | 27927 |\n| 9 | november 9 , 1969 | denver broncos | w 41 - 10 | 54416 |\n| 10 | november 16 , 1969 | san diego chargers | w 21 - 16 | 54372 |\n| 11 | november 23 , 1969 | kansas city chiefs | w 27 - 24 | 51982 |\n| 12 | november 30 , 1969 | new york jets | w 27 - 14 | 63865 |\n| 13 | december 7 , 1969 | cincinnati bengals | w 37 - 17 | 54427 |\n| 14 | december 13 , 1969 | kansas city chiefs | w 10 - 6 | 54443 |" + } + ] + }, + { + "id": "table_recognition_train_item_32244", + "image": "table_instructV/images/TABMWP_15872.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $590 | 18,400 | 1,400 |\n| $620 | 18,000 | 5,900 |\n| $650 | 17,600 | 10,400 |\n| $680 | 17,200 | 14,900 |\n| $710 | 16,800 | 19,400 |" + } + ] + }, + { + "id": "table_recognition_train_item_56602", + "image": "table_instructV/images/TabFact_1-26842217-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| date | time | visiting team | home team | site | broadcast | result | attendance |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| september 2 | 7:30 pm | southern miss | south carolina | williams - brice stadium columbia , sc | espn | w 41 - 13 | 70438 |\n| september 4 | 12:00 pm | miami (oh) | 4 florida | ben hill griffin stadium gainesville , fl | espn | w 34 - 12 | 90178 |\n| september 4 | 12:21 pm | louisiana - lafayette | 23 georgia | sanford stadium athens , ga | sec network | w 55 - 7 | 92746 |\n| september 4 | 3:30 pm | kentucky | louisville | papa john 's cardinal stadium louisville , ky | abc | w 23 - 16 | 55327 |\n| september 4 | 3:30 pm | jacksonville state | mississippi | vaught - hemingway stadium oxford , ms | css | l 48 - 49 2ot | 55768 |\n| september 4 | 6:00 pm | tennessee - martin | tennessee | neyland stadium knoxville , tn | ppv | w 50 - 0 | 99123 |\n| september 4 | 7:00 pm | san jose state | 1 alabama | bryant - denny stadium tuscaloosa , al | ppv | w 48 - 3 | 101821 |\n| september 4 | 7:00 pm | arkansas state | 22 auburn | jordan - hare stadium auburn , al | fsn south | w 52 - 26 | 83441 |\n| september 4 | 7:00 pm | tennessee tech | 17 arkansas | razorback stadium fayetteville , ar | ppv | w 44 - 3 | 69596 |\n| september 4 | 7:00 pm | memphis | mississippi state | davis wade stadium starkville , ms | espnu | w 49 - 7 | 56032 |\n| september 4 | 7:30 pm | northwestern | vanderbilt | vanderbilt stadium nashville , tn | css | l 21 - 23 | 37210 |" + } + ] + }, + { + "id": "table_recognition_train_item_31416", + "image": "table_instructV/images/TABMWP_7388.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Employee | Pay period | |\n| --- | --- |\n| Selena Jacobson | August | |\n| Total earnings | | $3,873.00 |\n| Federal income tax | $506.95 | |\n| Other taxes | $296.20 | |\n| Total taxes | | ? |\n| Pay after taxes | | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_53588", + "image": "table_instructV/images/TabFact_2-11902176-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| date | visitor | score | home | decision | attendance | record |\n| --- | --- | --- | --- | --- | --- | --- |\n| march 1 | pittsburgh | 4 - 5 | ottawa | gerber | 20153 | 37 - 23 - 6 |\n| march 3 | ottawa | 1 - 3 | anaheim | gerber | 17174 | 37 - 24 - 6 |\n| march 5 | ottawa | 2 - 3 | san jose | gerber | 17496 | 37 - 24 - 7 |\n| march 6 | ottawa | 0 - 2 | los angeles | gerber | 17580 | 37 - 25 - 7 |\n| march 8 | ottawa | 4 - 2 | phoenix | gerber | 16922 | 38 - 25 - 7 |\n| march 11 | boston | 1 - 4 | ottawa | gerber | 20143 | 39 - 25 - 7 |\n| march 13 | ottawa | 3 - 0 | montreal | gerber | 21273 | 40 - 25 - 7 |\n| march 16 | ottawa | 1 - 5 | carolina | gerber | 18680 | 40 - 26 - 7 |\n| march 20 | st louis | 2 - 3 | ottawa | gerber | 20027 | 41 - 26 - 7 |\n| march 22 | toronto | 5 - 4 | ottawa | gerber | 20183 | 41 - 27 - 7 |\n| march 24 | ottawa | 5 - 7 | montreal | emery | 21273 | 41 - 28 - 7 |\n| march 25 | ottawa | 6 - 3 | buffalo | gerber | 18690 | 42 - 28 - 7 |\n| march 27 | buffalo | 4 - 3 | ottawa | gerber | 19883 | 42 - 28 - 8 |\n| march 29 | ottawa | 0 - 4 | boston | gerber | 17565 | 42 - 29 - 8 |" + } + ] + }, + { + "id": "table_recognition_train_item_60696", + "image": "table_instructV/images/TabFact_2-10659676-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | kickoff | game site | record | attendance |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| week | date | opponent | result | kickoff | game site | record | attendance |\n| hof | august 9 , 1999 | oakland raiders | l 18 - 17 | 8:00 pm | fawcett stadium | 0 - 1 | 45449 |\n| 1 | - | - | - | - | - | - | |\n| 2 | august 21 , 1999 | chicago bears | l 38 - 24 | 7:30 pm | soldier field | 0 - 2 | 48381 |\n| 3 | august 28 , 1999 | san diego chargers | w 24 - 21 | 7:00 pm | trans world dome | 1 - 2 | 47882 |\n| 4 | september 2 , 1999 | detroit lions | w 17 - 6 | 6:30 pm | pontiac silverdome | 2 - 2 | 43578 |\n| regular season | regular season | regular season | regular season | regular season | regular season | regular season | regular season |\n| 1 | september 12 , 1999 | baltimore ravens | w 27 - 10 | 12:00 pm | trans world dome | 1 - 0 | 62100 |\n| 2 | - | - | - | - | - | - | |\n| 3 | september 26 , 1999 | atlanta falcons | w 35 - 7 | 12:00 pm | trans world dome | 2 - 0 | 63253 |\n| 4 | october 3 , 1999 | cincinnati bengals | w 38 - 10 | 12:00 pm | cinergy field | 3 - 0 | 45481 |\n| 5 | october 10 , 1999 | san francisco 49ers | w 42 - 20 | 12:00 pm | trans world dome | 4 - 0 | 65872 |\n| 6 | october 17 , 1999 | atlanta falcons | w 41 - 13 | 12:00 pm | georgia dome | 5 - 0 | 51973 |\n| 7 | october 24 , 1999 | cleveland browns | w 34 - 3 | 12:00 pm | trans world dome | 6 - 0 | 65866 |\n| 8 | october 31 , 1999 | tennessee titans | l 24 - 21 | 12:00 pm | adelphia coliseum | 6 - 1 | 66415 |\n| 9 | november 7 , 1999 | detroit lions | l 31 - 27 | 12:00 pm | pontiac silverdome | 6 - 2 | 73224 |\n| 10 | november 14 , 1999 | carolina panthers | w 35 - 10 | 12:00 pm | trans world dome | 7 - 2 | 65965 |\n| 11 | november 21 , 1999 | san francisco 49ers | w 23 - 7 | 3:15 pm | 3com park | 8 - 2 | 68193 |\n| 12 | november 28 , 1999 | new orleans saints | w 43 - 12 | 12:00 pm | trans world dome | 9 - 2 | 65864 |\n| 13 | december 5 , 1999 | carolina panthers | w 34 - 21 | 12:00 pm | ericsson stadium | 10 - 2 | 62285 |\n| 14 | december 12 , 1999 | new orleans saints | w 30 - 14 | 12:00 pm | louisiana superdome | 11 - 2 | 46838 |\n| 15 | december 19 , 1999 | new york giants | w 31 - 10 | 12:00 pm | trans world dome | 12 - 2 | 66065 |\n| 16 | december 26 , 1999 | chicago bears | w 34 - 12 | 12:00 pm | trans world dome | 13 - 2 | 65941 |\n| 17 | january 2 , 2000 | philadelphia eagles | l 38 - 31 | 12:00 pm | veterans stadium | 13 - 3 | 60700 |\n| postseason | postseason | postseason | postseason | postseason | postseason | postseason | postseason |\n| nfc divisional | january 16 , 2000 | minnesota vikings | w 49 - 37 | 11:30 am | trans world dome | 14 - 3 | 66194 |\n| nfc championship | january 23 , 2000 | tampa bay buccaneers | w 11 - 6 | 3:00 pm | trans world dome | 15 - 3 | 66496 |\n| super bowl xxxiv | january 30 , 2000 | tennessee titans | w 23 - 16 | 5:30pm | georgia dome | 16 - 3 | 72625 |" + } + ] + }, + { + "id": "table_recognition_train_item_57250", + "image": "table_instructV/images/TabFact_2-18178924-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| opposing teams | against | date | venue | status |\n| --- | --- | --- | --- | --- |\n| new zealand | 9 | 06 / 01 / 1973 | twickenham , london | test match |\n| wales | 25 | 20 / 01 / 1973 | cardiff arms park , cardiff | five nations |\n| ireland | 18 | 10 / 02 / 1973 | lansdowne road , dublin | five nations |\n| france | 6 | 24 / 02 / 1973 | twickenham , london | five nations |\n| scotland | 13 | 17 / 03 / 1973 | twickenham , london | five nations |\n| new zealand | 9 | 15 / 09 / 1973 | eden park , auckland | test match |\n| australia | 3 | 17 / 11 / 1973 | twickenham , london | test match |" + } + ] + }, + { + "id": "table_recognition_train_item_112515", + "image": "table_instructV/images/Rotowire_train_table_600.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Celtics | Boston | 75 | 15 | 16 | 28 | 16 | 24 | 40 | 13 | 37 | 61 | 21 | 16 | 30 | | | | |\n| Heat | Miami | 83 | 25 | 19 | 17 | 22 | 18 | 46 | 16 | 42 | 71 | 19 | 21 | 26 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Avery Bradley | 33 | 17 | 4 | 2 | 8-15 | 53% | 1-4 | 25% | 0-0 | 0% | 2 | 2 | 0 | 1 | 3 | 3 | G | Boston |\n| Tyler Zeller | 32 | 17 | 6 | 4 | 6-13 | 46% | 0-0 | 0% | 5-8 | 63% | 0 | 2 | 0 | 3 | 3 | 2 | C | Boston |\n| Brandon Bass | 38 | 15 | 6 | 1 | 7-14 | 50% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 2 | 1 | 5 | 2 | F | Boston |\n| Marcus Thornton | 17 | 9 | 3 | 0 | 3-9 | 33% | 1-4 | 25% | 2-2 | 100% | 2 | 1 | 0 | 1 | 2 | 3 | N/A | Boston |\n| Jared Sullinger | 19 | 7 | 3 | 1 | 3-11 | 27% | 0-2 | 0% | 1-2 | 50% | 0 | 3 | 0 | 1 | 2 | 3 | N/A | Boston |\n| James Young | 9 | 3 | 3 | 0 | 1-2 | 50% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 3 | 0 | N/A | Boston |\n| Jae Crowder | 29 | 3 | 4 | 3 | 1-2 | 50% | 1-2 | 50% | 0-0 | 0% | 1 | 2 | 0 | 0 | 4 | 2 | F | Boston |\n| Marcus Smart | 30 | 3 | 5 | 9 | 1-6 | 17% | 1-4 | 25% | 0-0 | 0% | 1 | 1 | 1 | 1 | 4 | 3 | N/A | Boston |\n| Phil Pressey | 8 | 1 | 0 | 2 | 0-2 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Boston |\n| Gerald Wallace | 7 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Boston |\n| Evan Turner | 19 | 0 | 5 | 2 | 0-6 | 0% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 5 | 1 | G | Boston |\n| Tayshaun Prince | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Andre Dawkins | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Hassan Whiteside | 30 | 20 | 9 | 0 | 10-17 | 59% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 3 | 3 | 6 | 3 | C | Miami |\n| Chris Bosh | 35 | 18 | 7 | 2 | 6-19 | 32% | 1-4 | 25% | 5-7 | 71% | 0 | 4 | 1 | 2 | 5 | 1 | F | Miami |\n| Tyler Johnson | 27 | 13 | 9 | 4 | 4-9 | 44% | 1-3 | 33% | 4-6 | 67% | 2 | 1 | 2 | 2 | 7 | 1 | N/A | Miami |\n| James Ennis III | 24 | 8 | 3 | 0 | 3-6 | 50% | 0-2 | 0% | 2-2 | 100% | 1 | 3 | 0 | 0 | 3 | 1 | N/A | Miami |\n| Danny Granger | 22 | 6 | 3 | 2 | 2-6 | 33% | 0-4 | 0% | 2-2 | 100% | 0 | 0 | 0 | 1 | 2 | 1 | F | Miami |\n| Shabazz Napier | 21 | 5 | 4 | 3 | 2-8 | 25% | 1-5 | 20% | 0-0 | 0% | 1 | 1 | 0 | 0 | 4 | 0 | G | Miami |\n| Chris Andersen | 18 | 5 | 5 | 1 | 2-2 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 1 | 0 | 5 | 2 | N/A | Miami |\n| Mario Chalmers | 26 | 4 | 4 | 2 | 1-4 | 25% | 0-1 | 0% | 2-4 | 50% | 3 | 5 | 1 | 2 | 2 | 2 | G | Miami |\n| Norris Cole | 23 | 4 | 2 | 4 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 2 | N/A | Miami |\n| Shawne Williams | 9 | 0 | 0 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 5 | N/A | Miami |\n| Udonis Haslem | 4 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 0 | 0 | N/A | Miami |\n| Justin Hamilton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |" + } + ] + }, + { + "id": "table_recognition_train_item_34056", + "image": "table_instructV/images/TABMWP_35536.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $440 | 13,100 | 4,900 |\n| $520 | 10,200 | 8,900 |\n| $600 | 7,300 | 12,900 |\n| $680 | 4,400 | 16,900 |\n| $760 | 1,500 | 20,900 |" + } + ] + }, + { + "id": "table_recognition_train_item_61810", + "image": "table_instructV/images/TabFact_2-12299543-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| outcome | date | surface | opponent in the final | score in the final |\n| --- | --- | --- | --- | --- |\n| winner | 11 february 2008 | hard | james blake | 3 - 6 , 6 - 1 , 6 - 4 |\n| runner - up | 10 april 2011 | clay | ryan sweeting | 4 - 6 , 6 - 7 (3 - 7) |\n| runner - up | 6 november 2011 | hard (i) | roger federer | 1 - 6 , 3 - 6 |\n| winner | 7 october 2012 | hard | milos raonic | 7 - 6 (7 - 5) , 3 - 6 , 6 - 0 |\n| winner | 24 february 2013 | hard (i) | feliciano lópez | 6 - 2 , 6 - 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_67502", + "image": "table_instructV/images/TabFact_2-1434986-13.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| district | incumbent | party | first elected | result |\n| --- | --- | --- | --- | --- |\n| pennsylvania 1 | thomas b florence | democratic | 1848 | retired democratic hold |\n| pennsylvania 2 | edward j morris | people 's | 1856 | re - elected republican gain |\n| pennsylvania 3 | john p verree | people 's | 1858 | re - elected republican gain |\n| pennsylvania 4 | william millward | people 's | 1858 | retired republican gain |\n| pennsylvania 5 | john wood | people 's | 1858 | retired republican gain |\n| pennsylvania 6 | john hickman | democratic | 1856 | re - elected republican gain |\n| pennsylvania 7 | thomas corwin | republican | 1858 | re - elected |\n| pennsylvania 8 | jacob k mckenty | democratic | 1860 | retired democratic hold |\n| pennsylvania 9 | thaddeus stevens | people 's | 1858 | re - elected republican gain |\n| pennsylvania 10 | john w killinger | people 's | 1858 | re - elected republican gain |\n| pennsylvania 11 | james h campbell | people 's | 1858 | re - elected republican gain |\n| pennsylvania 12 | george w scranton | people 's | 1858 | re - elected republican gain |\n| pennsylvania 13 | william h dimmick | democratic | 1856 | retired democratic hold |\n| pennsylvania 14 | galusha a grow | people 's | 1850 | re - elected republican gain |\n| pennsylvania 15 | james tracy hale | people 's | 1858 | re - elected republican gain |\n| pennsylvania 16 | benjamin f junkin | people 's | 1858 | defeated democratic gain |\n| pennsylvania 17 | edward mcpherson | people 's | 1858 | re - elected republican gain |\n| pennsylvania 18 | samuel s blair | people 's | 1858 | re - elected republican gain |\n| pennsylvania 19 | john covode | people 's | 1854 | re - elected republican gain |\n| pennsylvania 20 | william montgomery | democratic | 1856 | retired democratic hold |\n| pennsylvania 21 | james k moorhead | people 's | 1858 | re - elected republican gain |\n| pennsylvania 22 | robert mcknight | people 's | 1858 | re - elected republican gain |\n| pennsylvania 23 | william stewart | people 's | 1856 | retired republican gain |\n| pennsylvania 24 | chapin hall | people 's | 1858 | retired republican gain |\n| pennsylvania 25 | elijah babbitt | people 's | 1858 | re - elected republican gain |" + } + ] + }, + { + "id": "table_recognition_train_item_101916", + "image": "table_instructV/images/ToTTo_train_table_8182.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| Date built | Works no. | Railway | Name/no. | Notes |\n| --- | --- | --- | --- | --- |\n| 1847 | 10 | Namur and Liege Railway | Namur | (1) |\n| 1847 | 11 | Namur and Liege Railway | Liege | (1) |\n| 1847 | | Namur and Liege Railway | | (1) |\n| 1847 | 12? | LNWR | London, 200 | (2) |\n| 1847 | 14 | D&P&AJR | Kinnaird | (3) |\n| 1847 | | Sheffield, Ashton and Manchester Railway | Pegasus, 35 | |\n| 1848 | | Sheffield, Ashton and Manchester Railway | Phlegon, 36 | |\n| 1854 | 17 | Maryport and Carlisle Railway | 12 | (4) |" + } + ] + }, + { + "id": "table_recognition_train_item_55448", + "image": "table_instructV/images/TabFact_2-1724395-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| res | record | opponent | method | event | round | time | location |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| win | 29 - 7 - 2 | thomas denny | ko (punches) | ifl 11 | 2 | 0:50 | illinois , united states |\n| loss | 28 - 7 - 2 | renzo gracie | submission (guillotine choke) | ifl 9 | 1 | 3:37 | illinois , united states |\n| loss | 28 - 6 - 2 | matt lindland | tko (punches) | ufc 36 | 1 | 3:09 | nevada , united states |\n| win | 28 - 5 - 2 | shonie carter | ko (head kick) | ufc 32 | 2 | 2:42 | new jersey , united states |\n| loss | 27 - 5 - 2 | carlos newton | submission (bulldog choke) | ufc 31 | 3 | 2:50 | new jersey , united states |\n| win | 27 - 4 - 2 | kenichi yamamoto | submission (guillotine choke) | ufc 29 | 2 | 1:58 | tokyo , japan |\n| loss | 26 - 4 - 2 | kiyoshi tamura | decision (majority) | rings : millennium combine 3 | 2 | 5:00 | yokohama , japan |\n| win | 26 - 3 - 2 | john alessio | submission (armbar) | ufc 26 | 2 | 1:43 | iowa , united states |\n| loss | 25 - 3 - 2 | josé landi - jons | tko (corner stoppage) | wef 8 | 1 | 8:00 | georgia , united states |\n| win | 25 - 2 - 2 | shonie carter | decision (unanimous) | ec 27 | 1 | 20:00 | iowa , united states |\n| win | 24 - 2 - 2 | andré pederneiras | tko (cut) | ufc 21 | 2 | 2:20 | iowa , united states |\n| win | 23 - 2 - 2 | clayton miller | submission (triangle choke) | cc 2 | 1 | 0:40 | iowa , united states |\n| loss | 22 - 2 - 2 | jutaro nakao | submission (triangle choke) | sb 11 | 1 | 9:22 | hawaii , united states |\n| win | 22 - 1 - 2 | jorge patino | decision (unanimous) | ufc 18 | 1 | 21:00 | louisiana , united states |\n| win | 21 - 1 - 2 | mikey burnett | decision (split) | ufc 17.5 | 1 | 21:00 | sao paulo , brazil |\n| draw | 20 - 1 - 2 | dan severn | draw | ec 20 | 1 | 20:00 | iowa , united states |\n| win | 20 - 1 - 1 | al buck jr | submission (choke) | wef 5 | 2 | 2:49 | iowa , united states |\n| win | 19 - 1 - 1 | chris brennan | submission (shoulder choke) | ufc 16 | 1 | 9:02 | louisiana , united states |\n| win | 18 - 1 - 1 | townsend saunders | decision (split) | ufc 16 | 1 | 15:00 | louisiana , united states |\n| win | 17 - 1 - 1 | chris brennan | decision (unanimous) | ec 12 | 1 | 10:00 | iowa , united states |\n| draw | 16 - 1 - 1 | chris brennan | draw (majority) | ec 9 | 1 | 20:00 | iowa , united states |\n| win | 16 - 1 | chuck kim | submission (rear - naked choke) | ec 7 | 1 | 10:46 | iowa , united states |\n| loss | 15 - 1 | matt hume | tko (doctor stoppage) | ec 4 | 1 | 5:00 | iowa , united states |\n| win | 15 - 0 | chad cox | submission (punch) | ec 3 | 1 | 1:84 | iowa , united states |\n| win | 14 - 0 | paul kimbrel | submission (armbar) | ec 2 | 1 | 5:13 | iowa , united states |\n| win | 13 - 0 | jason nicholson | decision (unanimous) | sb 3 | 1 | 15:00 | hawaii , united states |\n| win | 12 - 0 | earl loucks | submission (keylock) | ec 1 | 1 | 7:00 | iowa , united states |\n| win | 11 - 0 | pat assalone | submission (armbar) | sb 1 | 1 | 4:01 | iowa , united states |\n| win | 10 - 0 | matt andersen | submission (punches) | wef 3 | 1 | 5:21 | iowa , united states |\n| win | 9 - 0 | yasunori matsumoto | tko (doctor stoppage) | wef 2 | 1 | 15:53 | illinois , united states |\n| win | 8 - 0 | andrey dudko | submission (rear - naked choke) | bm 2 | 1 | 2:49 | illinois , united states |\n| win | 7 - 0 | bob gholson | ko (punches) | bm 2 | 1 | 2:20 | illinois , united states |\n| win | 6 - 0 | rick graveson | submission (rear - naked choke) | bm 2 | 1 | 0:46 | illinois , united states |\n| win | 5 - 0 | rick graveson | submission (rear - naked choke) | wef 1 | 1 | 1:53 | illinois , united states |\n| win | 4 - 0 | ed mclennan | submission (armbar) | wef 1 | 1 | 1:28 | illinois , united states |\n| win | 3 - 0 | kevin marino | submission (rear - naked choke) | bm 1 | 1 | 3:49 | illinois , united states |\n| win | 2 - 0 | angelo rivera | submission (rear - naked choke) | bm 1 | 1 | 1:40 | illinois , united states |\n| win | 1 - 0 | yasunori matsumoto | submission (rear - naked choke) | bm 1 | 1 | 7:40 | illinois , united states |" + } + ] + }, + { + "id": "table_recognition_train_item_49802", + "image": "table_instructV/images/TAT-QA_1b8f0bf0-2aca-4741-9ce1-f14ffe42543d.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| | December 31, | |\n| --- | --- | --- |\n| (In thousands) | 2019 | 2018 |\n| Software development costs | $428,641 | $317,637 |\n| Less: accumulated amortization | (184,712) | (107,977) |\n| Software development costs, net | $243,929 | $209,660 |" + } + ] + }, + { + "id": "table_recognition_train_item_54896", + "image": "table_instructV/images/TabFact_1-19730892-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| name | nation | position | fa cup apps | fa cup goals | total apps | total goals |\n| --- | --- | --- | --- | --- | --- | --- |\n| graham bailey | england | df | 2 | 0 | 2 | 0 |\n| jeff barker | england | df | 2 | 0 | 2 | 0 |\n| albert bateman | england | mf | 2 | 0 | 2 | 0 |\n| eddie carr | england | mf | 1 | 0 | 1 | 0 |\n| don clegg | england | gk | 2 | 0 | 2 | 0 |\n| jimmy glazzard | england | fw | 2 | 0 | 2 | 0 |\n| george green | england | df | 2 | 0 | 2 | 0 |\n| george howe | england | df | 1 | 0 | 1 | 0 |\n| vic metcalfe | england | mf | 1 | 0 | 1 | 0 |\n| arthur morton | england | df | 2 | 0 | 2 | 0 |\n| joe poole | england | fw | 1 | 0 | 1 | 0 |\n| billy price | england | fw | 2 | 1 | 2 | 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_117093", + "image": "table_instructV/images/Rotowire_train_table_2889.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Mavericks | Dallas | 104 | 25 | 21 | 31 | 27 | 17 | 41 | 16 | 49 | 76 | 38 | 14 | 11 | | | | |\n| Suns | Phoenix | 94 | 21 | 22 | 15 | 36 | 19 | 47 | 16 | 41 | 70 | 36 | 11 | 15 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Mavericks | | | | | | | | | | | | | | | | | | |\n| Deron Williams | 35 | 18 | 4 | 3 | 8-16 | 50% | 2-6 | 33% | 0-0 | 0% | 1 | 5 | 0 | 0 | 4 | 2 | G | Dallas |\n| Raymond Felton | 34 | 17 | 4 | 4 | 6-11 | 55% | 3-7 | 43% | 2-2 | 100% | 2 | 2 | 0 | 0 | 4 | 3 | G | Dallas |\n| Chandler Parsons | 28 | 17 | 2 | 2 | 5-10 | 50% | 2-5 | 40% | 5-5 | 100% | 0 | 1 | 1 | 0 | 2 | 2 | N/A | Dallas |\n| Dirk Nowitzki | 29 | 14 | 7 | 4 | 5-10 | 50% | 0-1 | 0% | 4-5 | 80% | 0 | 2 | 0 | 1 | 6 | 4 | F | Dallas |\n| Wesley Matthews | 32 | 13 | 5 | 1 | 5-13 | 39% | 3-9 | 33% | 0-0 | 0% | 0 | 1 | 0 | 0 | 5 | 3 | F | Dallas |\n| Devin Harris | 23 | 12 | 1 | 2 | 5-8 | 63% | 2-3 | 67% | 0-2 | 0% | 6 | 0 | 0 | 0 | 1 | 3 | N/A | Dallas |\n| Dwight Powell | 16 | 8 | 6 | 0 | 2-2 | 100% | 0-0 | 0% | 4-5 | 80% | 0 | 0 | 0 | 0 | 6 | 3 | N/A | Dallas |\n| Zaza Pachulia | 28 | 4 | 12 | 0 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 3 | 5 | 0 | 4 | 8 | 2 | C | Dallas |\n| J.J. Barea | 14 | 1 | 0 | 1 | 0-4 | 0% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Dallas |\n| JaVale McGee | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| Charlie Villanueva | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| Jeremy Evans | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| John Jenkins | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| Suns | | | | | | | | | | | | | | | | | | |\n| Eric Bledsoe | 37 | 23 | 5 | 7 | 7-17 | 41% | 3-8 | 38% | 6-7 | 86% | 3 | 2 | 2 | 0 | 5 | 3 | G | Phoenix |\n| Jon Leuer | 33 | 15 | 13 | 3 | 5-11 | 46% | 1-3 | 33% | 4-4 | 100% | 1 | 2 | 0 | 4 | 9 | 4 | F | Phoenix |\n| Brandon Knight | 31 | 12 | 4 | 3 | 5-11 | 46% | 2-4 | 50% | 0-0 | 0% | 1 | 2 | 0 | 1 | 3 | 1 | G | Phoenix |\n| TJ Warren | 19 | 10 | 2 | 0 | 3-5 | 60% | 0-0 | 0% | 4-5 | 80% | 1 | 0 | 1 | 1 | 1 | 2 | N/A | Phoenix |\n| Sonny Weems | 13 | 9 | 0 | 1 | 2-3 | 67% | 2-2 | 100% | 3-4 | 75% | 0 | 2 | 0 | 0 | 0 | 3 | N/A | Phoenix |\n| PJ Tucker | 24 | 6 | 6 | 3 | 3-9 | 33% | 0-3 | 0% | 0-0 | 0% | 1 | 1 | 0 | 3 | 3 | 2 | F | Phoenix |\n| Tyson Chandler | 14 | 6 | 3 | 0 | 2-3 | 67% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 1 | 2 | 1 | 1 | N/A | Phoenix |\n| Archie Goodwin | 11 | 6 | 4 | 1 | 3-4 | 75% | 0-1 | 0% | 0-5 | 0% | 1 | 1 | 0 | 0 | 4 | 1 | N/A | Phoenix |\n| Ronnie Price | 17 | 5 | 1 | 0 | 2-4 | 50% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Phoenix |\n| Alex Len | 21 | 2 | 4 | 0 | 1-7 | 14% | 0-0 | 0% | 0-0 | 0% | 1 | 3 | 1 | 1 | 3 | 3 | C | Phoenix |\n| Mirza Teletovic | 15 | 0 | 4 | 0 | 0-5 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 4 | 1 | N/A | Phoenix |\n| Devin Booker | 5 | 0 | 1 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Phoenix |\n| Markieff Morris | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |" + } + ] + }, + { + "id": "table_recognition_train_item_67190", + "image": "table_instructV/images/TabFact_2-12824897-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| year | date | name | race | method | offense |\n| --- | --- | --- | --- | --- | --- |\n| 1639 | 30 | nepauduck | native american | hanging | murder |\n| 1647 | 26 | young , alse | white | hanging | witchcraft |\n| 1753 | 21 | bramble , sarah | white | hanging | murder |\n| 1786 | 20 | ocuish , hannah | native american | hanging | murder |\n| 1817 | 30 | adams , amos | black | hanging | rape |\n| 1905 | 18 | marx , gershon | white | hanging | murder |\n| 1936 | 7 | simborski , john | white | hanging | murder |\n| 1937 | 10 | mcelroy , james | white | electric chair | murder |\n| 1960 | 17 | taborsky , joseph | white | electric chair | murder |\n| 2005 | 13 | ross , michael | white | lethal injection | murder |" + } + ] + }, + { + "id": "table_recognition_train_item_105298", + "image": "table_instructV/images/ToTTo_train_table_22278.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Event | Time | | Name | Nationality | Date | Meet | Location | Ref |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 50 m freestyle | 20.94 | | Frédérick Bousquet | France | 26 Apr 2009 | French Championships | Montpellier, France | , ​ |\n| 100 m freestyle | 47.12 | | Alain Bernard | France | 29 Jul 2009 | World Championships | Rome, Italy | , ​ |\n| 200 m freestyle | 1:42.00 | WR | Paul Biedermann | Germany | 28 Jul 2009 | World Championships | Rome, Italy | , ​ |\n| 400 m freestyle | 3:40.07 | WR | Paul Biedermann | Germany | 26 Jul 2009 | World Championships | Rome, Italy | |\n| 800 m freestyle | 7:40.77 | | Gabriele Detti | Italy | 26 July 2017 | World Championships | Budapest, Hungary | |\n| 1500 m freestyle | 14:34.04 | | Gregorio Paltrinieri | Italy | 18 May 2016 | European Championships | London, United Kingdom | |\n| 50 m backstroke | 24.00 | WR | Kliment Kolesnikov | Russia | 4 August 2018 | European Championships | Glasgow, United Kingdom | |\n| 100 m backstroke | 52.11 | | Camille Lacourt | France | 10 Aug 2010 | European Championships | Budapest, Hungary | |\n| 200 m backstroke | 1:53.36 | | Evgeny Rylov | Russia | 8 August 2018 | European Championships | Glasgow, United Kingdom | |\n| 50 m breaststroke | 25.95 | sf, WR | Adam Peaty | Great Britain | 25 July 2017 | World Championships | Budapest, Hungary | |\n| 100 m breaststroke | 57.10 | WR | Adam Peaty | Great Britain | 4 August 2018 | European Championships | Glasgow, United Kingdom | |\n| 200m breaststroke | 2:06.80 | | Anton Chupkov | Russia | 6 August 2018 | European Championships | Glasgow, United Kingdom | |\n| 50 m butterfly | 22.27 | WR | Andriy Govorov | Ukraine | 1 July 2018 | Sette Colli Trophy | Rome, Italy | |\n| 100 m butterfly | 49.95 | | Milorad Čavić | Serbia | 1 Aug 2009 | World Championships | Rome, Italy | |\n| 200 m butterfly | 1:52.70 | | László Cseh | Hungary | 13 Aug 2008 | Olympic Games | Beijing, China | |\n| 200 m individual medley | 1:55.18 | sf | László Cseh | Hungary | 29 Jul 2009 | World Championships | Rome, Italy | |\n| 400 m individual medley | 4:06.16 | | László Cseh | Hungary | 10 Aug 2008 | Olympic Games | Beijing, China | |\n| 4×100 m freestyle relay | 3:08.32 | | (47.91)Amaury Leveaux (47.05)Fabien Gilot (46.63)Frédérick Bousquet (46.73)Alain Bernard | France | 11 Aug 2008 | Olympic Games | Beijing, China | |\n| 4×200 m freestyle relay | 6:59.15 | | (1:45.10)Nikita Lobintsev (1:45.42)Michail Polishuk (1:44.48)Danila Izotov (1:44.15)Alexander Sukhorukov | Russia | 31 Jul 2009 | World Championships | Rome, Italy | |\n| 4×100 m medley relay | 3:28.58 | | (52.27)Helge Meeuw (58.51)Hendrik Feldwehr (50.91)Benjamin Starke (46.89)Paul Biedermann | Germany | 2 Aug 2009 | World Championships | Rome, Italy | |" + } + ] + }, + { + "id": "table_recognition_train_item_105030", + "image": "table_instructV/images/ToTTo_train_table_21149.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Title | EP Details |\n| --- | --- |\n| Tiffany Evans | Released: October 12, 2004 Label: Columbia Records Format: CD, digital download |\n| 143 | Released: February 12, 2013 Label: Little Lady Entertainment Format: Digital Download |\n| All Me | Released: October 30, 2015 Label: Live Love Entertainment Format: Digital Download |" + } + ] + }, + { + "id": "table_recognition_train_item_102757", + "image": "table_instructV/images/ToTTo_train_table_11527.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Event | Time | Venue | Date | Notes |\n| --- | --- | --- | --- | --- |\n| 100 m freestyle | 46.99 | Manchester | December 18, 2009 | |\n| 200 m freestyle | 1:42.78 | East Meadow | February 4, 2006 | |\n| 200 m backstroke | 1:50.34 | Berlin | October 22, 2011 | |\n| 100 m butterfly | 50.46 | Manchester | December 18, 2009 | |\n| 200 m butterfly | 1:52.27 | Melbourne | November 28, 2003 | |\n| 100 m IM | 51.65 | Berlin | October 22, 2011 | |\n| 200 m IM | 1:51.89 | Berlin | October 23, 2011 | |\n| 400 m IM | 4:01.49 | Berlin | October 22, 2011 | |" + } + ] + }, + { + "id": "table_recognition_train_item_107284", + "image": "table_instructV/images/ToTTo_train_table_30581.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Year | Village population | Community population |\n| --- | --- | --- |\n| 1981 | | 563 |\n| 1991 | 203 | |\n| 2001 | 195 | 720 |\n| 2011 | 176 | 709 |" + } + ] + }, + { + "id": "table_recognition_train_item_63548", + "image": "table_instructV/images/TabFact_1-20967430-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| ep | season | title | directed by | written by | original air date | prod code |\n| --- | --- | --- | --- | --- | --- | --- |\n| 8 | 1 | the lion sleeps tonight | noam pitlik | jack carrerow & lisa a bannick | september 27 , 1985 | 4 g01 |\n| 9 | 2 | tornado | noam pitlik | frank dungan & jeff stein & tony sheehan | october 04 , 1985 | 4 g02 |\n| 10 | 3 | the cheerleader | noam pitlik | lissa levin | october 11 , 1985 | 4 g03 |\n| 11 | 4 | requiem | noam pitlik | jeffrey ferro & fredric weiss | october 18 , 1985 | 4 g04 |\n| 12 | 5 | delivery | noam pitlik | fredric weiss & jeffrey ferro | october 25 , 1985 | 4 g05 |\n| 13 | 6 | the contract | noam pitlik | frank dungan & jeff stein & tony sheehan | november 01 , 1985 | 4 g07 |\n| 14 | 7 | vows | noam pitlik | lissa levin | november 08 , 1985 | 4 g06 |\n| 15 | 8 | strike | noam pitlik | jeffrey ferro & fredric weiss | november 15 , 1985 | 4 g08 |\n| 16 | 9 | the letter | noam pitlik | karen wengrod & ken cinnamon | november 22 , 1985 | 4 g10 |\n| 17 | 10 | pinball | noam pitlik | frank dungan & jeff stein | november 29 , 1985 | 4 g09 |\n| 19 | 12 | speechless | noam pitlik | frank dungan & jeff stein | january 03 , 1986 | 4 g13 |\n| 20 | 13 | the teacher | noam pitlik | lissa levin | january 10 , 1986 | 4 g14 |\n| 21 | 14 | the dropout | noam pitlik | jack carrerow & lisa a bannick | january 17 , 1986 | 4 g12 |\n| 22 | 15 | rivals | noam pitlik | fredric weiss & jeffrey ferro | january 24 , 1986 | 4 g15 |\n| 23 | 16 | wesley 's friend | noam pitlik | frank dungan & jeff stein & tony sheehan | january 31 , 1986 | 4 g16 |\n| 24 | 17 | the will | noam pitlik | lissa levin | february 07 , 1986 | 4 g17 |\n| 26 | 19 | heather 's tutor | noam pitlik | lissa levin | february 21 , 1986 | 4 g19 |\n| 27 | 20 | amish | noam pitlik | tony sheehan | march 07 , 1986 | 4 g20 |\n| 28 | 21 | dinner for two | noam pitlik | fredric weiss & jeffery ferro | march 21 , 1986 | 4 g21 |" + } + ] + }, + { + "id": "table_recognition_train_item_103621", + "image": "table_instructV/images/ToTTo_train_table_15140.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Ht | Wt | 40-yard dash | 10-yd split | 20-yd split | 20-ss | 3-cone | Vert jump | Broad | BP | Wonderlic |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6 ft 4 1⁄2 in (1.94 m) | 248 lb (112 kg) | 4.58 s | | | 4.03 s | | 38 1⁄2 in (0.98 m) | 10 ft 5 in (3.18 m) | 26 reps | 49 |\n| All values from NFL Combine. |" + } + ] + }, + { + "id": "table_recognition_train_item_63492", + "image": "table_instructV/images/TabFact_2-18135501-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| place | player | country | score | to par |\n| --- | --- | --- | --- | --- |\n| 1 | wayne grady | australia | 68 + 67 + 69 = 204 | - 12 |\n| 2 | tom watson | united states | 69 + 68 + 68 = 205 | - 11 |\n| 3 | payne stewart | united states | 72 + 65 + 69 = 206 | - 10 |\n| t4 | mark calcavecchia | united states | 71 + 68 + 68 = 207 | - 9 |\n| t4 | fred couples | united states | 68 + 71 + 68 = 207 | - 9 |\n| t4 | david feherty | northern ireland | 71 + 67 + 69 = 207 | - 9 |\n| t7 | paul azinger | united states | 68 + 73 + 67 = 208 | - 8 |\n| t7 | jodie mudd | united states | 73 + 67 + 68 = 208 | - 8 |\n| t9 | mark mccumber | united states | 71 + 68 + 70 = 209 | - 7 |\n| t9 | josé maría olazábal | spain | 68 + 72 + 69 = 209 | - 7 |\n| t9 | steve pate | united states | 69 + 70 + 70 = 209 | - 7 |" + } + ] + }, + { + "id": "table_recognition_train_item_68888", + "image": "table_instructV/images/TabFact_1-2486023-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| year | mens singles | womens singles | mens doubles | womens doubles | mixed doubles |\n| --- | --- | --- | --- | --- | --- |\n| 2013 | lin dan | ratchanok inthanon | muhammad ahsan hendra setiawan | wang xiaoli yu yang | tontowi ahmad lilyana natsir |\n| 2011 | lin dan | wang yihan | cai yun fu haifeng | wang xiaoli yu yang | zhang nan zhao yunlei |\n| 2010 | chen jin | wang lin | cai yun fu haifeng | du jing yu yang | zheng bo ma jin |\n| 2009 | lin dan | lu lan | cai yun fu haifeng | zhang yawen zhao tingting | thomas laybourn kamilla rytter juhl |\n| 2007 | lin dan | zhu lin | markis kido hendra setiawan | zhang jiewen yang wei | nova widianto lilyana natsir |\n| 2006 | lin dan | xie xingfang | cai yun fu haifeng | gao ling huang sui | nathan robertson gail emms |\n| 2005 | taufik hidayat | xie xingfang | howard bach tony gunawan | yang wei zhang jiewen | nova widianto lilyana natsir |\n| 2003 | xia xuanze | zhang ning | lars paaske jonas rasmussen | gao ling huang sui | kim dong - moon ra kyung - min |\n| 2001 | hendrawan | gong ruina | halim haryanto tony gunawan | gao ling huang sui | zhang jun gao ling |\n| 1999 | sun jun | camilla martin | ha tae - kwon kim dong - moon | ge fei gu jun | kim dong - moon ra kyung - min |\n| 1997 | peter rasmussen | ye zhaoying | candra wijaya sigit budiarto | ge fei gu jun | liu yong ge fei |\n| 1995 | heryanto arbi | ye zhaoying | rexy mainaky ricky subagja | gil young - ah jang hye - ock | thomas lund marlene thomsen |\n| 1993 | joko suprianto | susi susanti | ricky subagja rudy gunawan | nong qunhua zhou lei | thomas lund catrine bengtsson |\n| 1991 | zhao jianhua | tang jiuhong | park joo - bong kim moon - soo | guan weizhen nong qunhua | park joo - bong chung myung - hee |\n| 1989 | yang yang | li lingwei | li yongbo tian bingyi | lin ying guan weizhen | park joo - bong chung myung - hee |\n| 1987 | yang yang | han aiping | li yongbo tian bingyi | lin ying guan weizhen | wang pengren shi fangjing |\n| 1985 | han jian | han aiping | park joo - bong kim moon - soo | han aiping li lingwei | park joo - bong yoo sang - hee |\n| 1983 | icuk sugiarto | li lingwei | steen fladberg jesper helledie | lin ying wu dixi | thomas kihlstrãm nora perry |\n| 1980 | rudy hartono | verawaty wiharjo | ade chandra christian hadinata | nora perry jane webster | christian hadinata imelda wiguno |" + } + ] + }, + { + "id": "table_recognition_train_item_114789", + "image": "table_instructV/images/Rotowire_train_table_1737.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 76ers | Philadelphia | 103 | 20 | 26 | 27 | 30 | 22 | 42 | 10 | 43 | 60 | 41 | 0 | 17 | | | | |\n| Spurs | San Antonio | 109 | 27 | 34 | 23 | 25 | 25 | 52 | 14 | 43 | 80 | 35 | 13 | 4 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Michael Carter-Williams | 35 | 24 | 11 | 7 | 9-19 | 47% | 2-3 | 67% | 4-5 | 80% | 0 | 4 | 0 | 1 | 10 | 4 | G | Philadelphia |\n| Alexey Shved | 28 | 19 | 4 | 4 | 7-16 | 44% | 2-6 | 33% | 3-3 | 100% | 2 | 0 | 0 | 2 | 2 | 3 | N/A | Philadelphia |\n| Henry Sims | 25 | 12 | 5 | 0 | 5-9 | 56% | 2-3 | 67% | 0-2 | 0% | 0 | 0 | 0 | 1 | 4 | 4 | C | Philadelphia |\n| KJ McDaniels | 30 | 10 | 9 | 2 | 2-8 | 25% | 1-5 | 20% | 5-8 | 63% | 3 | 2 | 2 | 1 | 8 | 5 | N/A | Philadelphia |\n| Robert Covington | 17 | 9 | 1 | 0 | 3-6 | 50% | 3-3 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Philadelphia |\n| Brandon Davies | 19 | 8 | 2 | 3 | 3-7 | 43% | 0-1 | 0% | 2-3 | 67% | 0 | 0 | 0 | 1 | 1 | 2 | F | Philadelphia |\n| Hollis Thompson | 29 | 7 | 1 | 2 | 3-6 | 50% | 1-3 | 33% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 4 | G | Philadelphia |\n| Luc Mbah a Moute | 22 | 6 | 1 | 3 | 3-10 | 30% | 0-2 | 0% | 0-0 | 0% | 3 | 1 | 0 | 0 | 1 | 1 | F | Philadelphia |\n| Jerami Grant | 13 | 4 | 3 | 0 | 2-6 | 33% | 0-2 | 0% | 0-2 | 0% | 1 | 0 | 1 | 1 | 2 | 1 | N/A | Philadelphia |\n| JaKarr Sampson | 12 | 4 | 3 | 1 | 1-1 | 100% | 1-1 | 100% | 1-2 | 50% | 0 | 1 | 0 | 0 | 3 | 1 | N/A | Philadelphia |\n| Drew Gordon | 10 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 2 | N/A | Philadelphia |\n| Nerlens Noel | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Kawhi Leonard | 33 | 26 | 10 | 4 | 9-15 | 60% | 2-6 | 33% | 6-8 | 75% | 2 | 3 | 0 | 1 | 9 | 2 | F | San Antonio |\n| Aron Baynes | 29 | 15 | 9 | 0 | 6-9 | 67% | 0-0 | 0% | 3-4 | 75% | 1 | 2 | 0 | 3 | 6 | 5 | C | San Antonio |\n| Manu Ginobili | 13 | 14 | 1 | 3 | 4-8 | 50% | 2-3 | 67% | 4-5 | 80% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | San Antonio |\n| Cory Joseph | 34 | 14 | 8 | 6 | 4-10 | 40% | 0-1 | 0% | 6-8 | 75% | 0 | 3 | 0 | 1 | 7 | 3 | G | San Antonio |\n| Matt Bonner | 14 | 12 | 0 | 2 | 5-5 | 100% | 2-2 | 100% | 0-0 | 0% | 0 | 0 | 1 | 0 | 0 | 1 | N/A | San Antonio |\n| Marco Belinelli | 31 | 11 | 7 | 3 | 3-13 | 23% | 1-7 | 14% | 4-5 | 80% | 1 | 1 | 0 | 2 | 5 | 0 | N/A | San Antonio |\n| Boris Diaw | 29 | 5 | 4 | 3 | 2-6 | 33% | 0-1 | 0% | 1-1 | 100% | 1 | 1 | 0 | 1 | 3 | 1 | F | San Antonio |\n| Danny Green | 26 | 5 | 4 | 2 | 1-9 | 11% | 1-5 | 20% | 2-2 | 100% | 1 | 0 | 0 | 0 | 4 | 0 | G | San Antonio |\n| Jeff Ayres | 12 | 4 | 3 | 1 | 1-5 | 20% | 0-0 | 0% | 2-2 | 100% | 0 | 2 | 1 | 2 | 1 | 5 | N/A | San Antonio |\n| Austin Daye | 14 | 3 | 6 | 1 | 1-3 | 33% | 1-1 | 100% | 0-0 | 0% | 0 | 2 | 0 | 0 | 6 | 3 | N/A | San Antonio |\n| Kyle Anderson | 5 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 0 | 0 | N/A | San Antonio |\n| Tim Duncan | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Tony Parker | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |" + } + ] + }, + { + "id": "table_recognition_train_item_32457", + "image": "table_instructV/images/TABMWP_18153.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $790 | 22,400 | 4,400 |\n| $990 | 19,900 | 8,500 |\n| $1,190 | 17,400 | 12,600 |\n| $1,390 | 14,900 | 16,700 |\n| $1,590 | 12,400 | 20,800 |" + } + ] + }, + { + "id": "table_recognition_train_item_53144", + "image": "table_instructV/images/TabFact_1-1037590-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| year | games | games started | completions | attempts | completion % | yards | yards / attempt | touchdowns | interceptions | rating |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2002 | 14 | 12 | 215 | 429 | 50.1 | 2294 | 5.3 | 12 | 16 | 59.9 |\n| 2003 | 16 | 16 | 309 | 554 | 55.8 | 2880 | 5.2 | 17 | 22 | 63.9 |\n| 2004 | 16 | 16 | 274 | 489 | 56.0 | 3047 | 6.2 | 19 | 12 | 77.5 |\n| 2005 | 12 | 11 | 188 | 330 | 57.0 | 2021 | 6.1 | 12 | 12 | 72.0 |\n| 2006 | 11 | 11 | 223 | 388 | 57.5 | 2236 | 5.8 | 12 | 15 | 68.2 |\n| 2007 | 12 | 10 | 215 | 348 | 61.8 | 2215 | 6.4 | 7 | 8 | 77.2 |" + } + ] + }, + { + "id": "table_recognition_train_item_31957", + "image": "table_instructV/images/TABMWP_12848.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Location | Temperature (°F) |\n| --- | --- |\n| Death Valley | 134 |\n| Vostok Station | -128 |" + } + ] + }, + { + "id": "table_recognition_train_item_64610", + "image": "table_instructV/images/TabFact_2-15786635-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| tie no | home team | score | away team | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | blackpool | 3 - 0 | tamworth | 4796 |\n| 2 | darlington | 3 - 3 | yeovil town | 3698 |\n| replay | yeovil town | 1 - 0 | darlington | 5365 |\n| 3 | barnet | 1 - 2 | bath city | 2147 |\n| 4 | bristol city | 1 - 1 | brentford | 10000 |\n| replay | brentford | 1 - 1 | bristol city | 3706 |\n| 5 | bury | 5 - 2 | vauxhall motors | 2566 |\n| 6 | histon | 2 - 0 | shrewsbury town | 2843 |\n| 7 | rochdale | 2 - 1 | oxford united | 2333 |\n| 8 | notts county | 2 - 1 | woking | 4562 |\n| 9 | stafford rangers | 0 - 2 | chester city | 2492 |\n| 10 | swindon town | 4 - 1 | sheffield wednesday | 6160 |\n| 11 | stockport county | 3 - 1 | huddersfield town | 3479 |\n| 12 | wycombe wanderers | 1 - 0 | coalville town | 2816 |\n| 13 | bristol rovers | 1 - 1 | carlisle | 5658 |\n| replay | carlisle united | 1 - 0 | bristol rovers | 4813 |\n| 14 | northampton town | 1 - 0 | barnsley | 4876 |\n| 15 | bradford city | 0 - 1 | rushden & diamonds | 4171 |\n| 16 | hull city | 3 - 2 | morecambe | 10129 |\n| 17 | southend united | 0 - 3 | luton town | 6683 |\n| 18 | exeter city | 1 - 0 | grimsby town | 3378 |\n| 19 | scunthorpe united | 2 - 0 | chesterfield | 4869 |\n| 20 | mansfield town | 1 - 1 | colchester united | 3202 |\n| replay | colchester united | 4 - 1 | mansfield town | 2492 |\n| 21 | alfreton town | 1 - 1 | macclesfield town | 2251 |\n| replay | macclesfield town | 2 - 0 | alfreton town | 1783 |\n| 22 | port vale | 3 - 1 | kidderminster harriers | 4141 |\n| 23 | halifax town | 3 - 1 | cambridge united | 2368 |\n| 24 | cheltenham town | 1 - 3 | swansea city | 4551 |\n| 25 | southport | 1 - 3 | hereford united | 2045 |\n| 26 | hayes | 0 - 4 | wrexham | 1751 |\n| 27 | tiverton town | 1 - 3 | doncaster rovers | 1618 |\n| 28 | boston united | 5 - 2 | hornchurch | 2437 |\n| 29 | peterborough united | 2 - 1 | tranmere rovers | 2940 |\n| 30 | leyton orient | 3 - 1 | dagenham & redbridge | 4155 |\n| 31 | slough town | 2 - 1 | walsall | 2023 |\n| 32 | cambridge city | 2 - 1 | leigh rmi | 930 |\n| 33 | forest green rovers | 1 - 1 | bournemouth | 1837 |\n| replay | bournemouth | 3 - 1 | forest green rovers | 5489 |\n| 34 | hartlepool united | 3 - 0 | lincoln city | 4533 |\n| 35 | billericay town | 0 - 1 | stevenage borough | 1804 |\n| 36 | yeading | 2 - 1 | halesowen town | 524 |\n| 37 | aldershot town | 4 - 0 | canvey island | 2600 |\n| 38 | hinckley united | 2 - 0 | torquay united | 2129 |\n| 39 | thurrock | 0 - 1 | oldham athletic | 1156 |\n| 40 | milton keynes dons | 1 - 0 | lancaster city | 2065 |" + } + ] + }, + { + "id": "table_recognition_train_item_103789", + "image": "table_instructV/images/ToTTo_train_table_15817.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 1990 | Law & Order | Martha | Episode: \"Kiss the Girls and Make Them Die\" |\n| 1993 | Phenom | Beverly | Episode: \"Answered Prayers\" |\n| 1994 | Dave's World | The T.A. | Episode: \"Family Membership\" |\n| 1994 | SWAT Kats: The Radical Squadron | Lt. Felina Feral (voice) | 6 episodes |\n| 1995 | The George Carlin Show | Nurse | Episode: \"George Tells the Truth\" |\n| 1995 | Ned and Stacey | Theresa | Episode: \"Reality Check\" |\n| 1995 | Buford's Got a Gun | Estelle | Television short |\n| 1994–1996 | The Fantastic Four | Invisible Woman, additional voices | 27 episodes |\n| 1996 | Boston Common | Liz | 3 episodes |\n| 1996 | Aaahh!!! Real Monsters | Mom, Girl (voice) | Episode: \"Eye Full of Wander/Lifestyles of the Rich and Scary\" |\n| 1996 | Touched by an Angel | Rachel Carson | Episode: \"Into the Light\" |\n| 1997 | The Angry Beavers | Porcupine, Skunk (voice) | Episode: \"Enter the Daggett/Bugaboo\" |\n| 1997 | Cow and Chicken | Winney (voice) | Episode: \"I Am Ambassador\" |\n| 1997–1999, 2001 | Hey Arnold! | Brooke Lloyd, School Secretary, Chocolate Woman, Police Officer Pudney, Announcer (voice) | 5 episodes |\n| 1998 | Animaniacs | Sharon Stone, additional voices | Episode: \"Hooray for North Hollywood: Part 2\" |\n| 1999–2002, 2005–2010 | Family Guy | Diane Simmons, additional voices | 63 episodes |\n| 1999 | Johnny Bravo | Production Assistant, Robot Walla (voice) | Episode: \"Karma Krisis/A Star Is Bruised/The Prince and the Pinhead\" |\n| 1999–present | SpongeBob SquarePants | Pearl Krabs, additional voices | All seasons |\n| 1999 | The Kids from Room 402 | Nurse Pitts (voice) | Episode: \"Son of Einstein\" |\n| 1999 | The Brothers Flub | Additional voices | |\n| 2001 | Will and Grace | Jean | Episode: \"Coffee & Commitment\" |\n| 2002 | The Tick | District Attorney | Episode: \"The Tick vs. Justice\" |\n| 2002 | Charmed | Cynthia | Episode: \"Lost and Bound\" |\n| 2002 | Sabrina, the Teenage Witch | Sabrina's Car (voice) | Episode: \"Driving Mr. Goodman\" |\n| 2002 | Rocket Power | Game Voice (voice) | Episode: \"Sim Sammy/Otto Hangs 11\" |\n| 2002 | 3 South | Felicity, Various (voice) | 2 episodes |\n| 2003 | Friends | Sonya | Episode: \"The One Where Monica Sings\" |\n| 2003 | Good Morning, Miami | Loretta | Episode: \"Mutt and Jake\" |\n| 2003 | Six Feet Under | Macy's Saleswoman | Episode: \"The Eye Inside\" |\n| 2004 | The Wild Thornberrys | Elder's Daughter (voice) | Episode: \"Eliza Unplugged\" |\n| 2005 | The Grim Adventures of Billy & Mandy | Librarian, Rosella, Girl #2 (voice) | Episode \"Duck! / Aren't You Chupacabra to See Me?\" |\n| 2005 | Stroker and Hoop | Leslie, Helena St. Chloe-Butz, Coed, Grandma, Reporter, Woman, Porche, Tour Guide, Sunshine (voice) | 3 episodes |\n| 2005 | CSI: Crime Scene Investigation | Valerie Esposito | Episode: \"Still Life\" |\n| 2006 | W.I.T.C.H. | Brenda (voice) | Episode: \"U is for Undivided\" |\n| 2007 | Cory in the House | Mrs. Flowers | 4 episodes |\n| 2007–2009 | Rick & Steve: The Happiest Gay Couple in All the World | Ivory, Nerds, Dr. Joy, Various Characters, Dixie, Nerd, Eunice, Mail Lady (voice) | 7 episodes |\n| 2008 | Days of Our Lives | Java Café Patron | Episode: \"Episode #1.10942\" |\n| 2009 | Chuck | Judy Roberts | Episode: \"Chuck Versus the First Kill\" |\n| 2009 | Chowder | Lady #2, Lady #6, Lady #8 (voice) | Episode: \"Won Ton Bombs\" |\n| 2009 | Southland | D.A. Deborah Janowitz | 3 episodes |\n| 2009 | The Closer | Kathy Weber | Episode: \"Strike Three\" |\n| 2010–2011 | Mater's Tall Tales | Additional voices | 4 episodes |\n| 2010 | The Hard Times of RJ Berger | Linda Robbins | 2 episodes |\n| 2010 | 90210 | Realtor | Episode: \"Holiday Madness\" |\n| 2010 | Futurama | Additional voices | |\n| 2010 | Fanboy & Chum Chum | Additional voices | |\n| 2011 | BlackBoxTV | Joanna Haywood | Episode: \"The Family Circus\" |\n| 2011 | McCracken Live! | Lauren Hanson | Episode: \"The Pilot Lot\" |\n| 2011 | Law & Order: LA | Robbi Nathan | Episode: \"Benedict Canyon\" |\n| 2011 | Workaholics | Betsy Russ | Episode: \"6 Hours Til Hedonism II\" |\n| 2012 | Lab Rats | Edie (voice) | Episode: \"Commando App\" |\n| 2012 | School Board | Susan | 4 episodes |\n| 2012 | Bones | Gina Carson | Episode: \"The Gunk in the Garage\" |\n| 2013 | Rolling with Dad | Brenda Stickle | Television short |\n| 2013–2014 | Henry Hugglemonster | Momma (voice) | 43 episodes |\n| 2013 | Ray Donovan | Darlene | Episode: \"Road Trip\" |\n| 2013 | Mighty Med | Mrs. Gleason | Episode: \"Evil Gus\" |\n| 2013 | Doc McStuffins | Gloria the Gorilla | Episode: \"You Crack Me Up\" |\n| 2014 | Castle | Ms. Papen | Episode: \"Smells Like Teen Spirit\" |\n| 2014 | Acting Dead | Zombietologist | 2 episodes |\n| 2014 | Grey's Anatomy | Ellen Weaver | Episode: \"Don't Let's Start\" |\n| 2014 | Toy Story That Time Forgot | Bonnie's Mom | Television short |\n| 2015 | Natasha | Natasha's Mother | Episode: \"A Finale\" |\n| 2015 | The League | Mrs. Shtotelman | Episode: \"Deflategate\" |" + } + ] + }, + { + "id": "table_recognition_train_item_35020", + "image": "table_instructV/images/TABMWP_21141.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $110 | 20,100 | 14,100 |\n| $210 | 15,400 | 14,800 |\n| $310 | 10,700 | 15,500 |\n| $410 | 6,000 | 16,200 |\n| $510 | 1,300 | 16,900 |" + } + ] + }, + { + "id": "table_recognition_train_item_111759", + "image": "table_instructV/images/Rotowire_train_table_222.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Spurs | San Antonio | 96 | 26 | 25 | 21 | 24 | 26 | 44 | 13 | 43 | 57 | 43 | 3 | 3 | | | | |\n| Clippers | Los Angeles | 102 | 26 | 25 | 25 | 26 | 22 | 43 | 10 | 48 | 71 | 22 | 3 | 3 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Marco Belinelli | 22 | 23 | 2 | 1 | 7-12 | 58% | 7-11 | 64% | 2-3 | 67% | 1 | 0 | 0 | 0 | 2 | 4 | N/A | San Antonio |\n| Boris Diaw | 28 | 17 | 4 | 5 | 8-12 | 67% | 1-4 | 25% | 0-0 | 0% | 1 | 3 | 0 | 2 | 2 | 5 | N/A | San Antonio |\n| Kawhi Leonard | 40 | 12 | 7 | 2 | 3-15 | 20% | 1-3 | 33% | 5-6 | 83% | 0 | 4 | 0 | 1 | 6 | 2 | F | San Antonio |\n| Tim Duncan | 32 | 12 | 13 | 3 | 6-9 | 67% | 0-0 | 0% | 0-2 | 0% | 0 | 1 | 0 | 3 | 10 | 4 | F | San Antonio |\n| Tiago Splitter | 28 | 9 | 10 | 3 | 3-6 | 50% | 0-0 | 0% | 3-8 | 38% | 0 | 1 | 0 | 5 | 5 | 2 | C | San Antonio |\n| Tony Parker | 30 | 8 | 4 | 7 | 4-12 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 4 | 4 | G | San Antonio |\n| Danny Green | 26 | 7 | 0 | 1 | 3-9 | 33% | 1-5 | 20% | 0-0 | 0% | 1 | 1 | 1 | 0 | 0 | 2 | G | San Antonio |\n| Patty Mills | 18 | 5 | 3 | 3 | 1-2 | 50% | 1-2 | 50% | 2-2 | 100% | 0 | 1 | 0 | 0 | 3 | 1 | N/A | San Antonio |\n| Manu Ginobili | 14 | 3 | 1 | 1 | 1-6 | 17% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 1 | 1 | 0 | 3 | N/A | San Antonio |\n| Matt Bonner | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | San Antonio |\n| Aron Baynes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Cory Joseph | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Jeff Ayres | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Clippers | | | | | | | | | | | | | | | | | | |\n| Blake Griffin | 41 | 26 | 12 | 6 | 11-21 | 52% | 0-1 | 0% | 4-4 | 100% | 1 | 0 | 4 | 2 | 10 | 2 | F | Los Angeles |\n| JJ Redick | 39 | 19 | 0 | 0 | 7-12 | 58% | 1-4 | 25% | 4-4 | 100% | 0 | 2 | 0 | 0 | 0 | 0 | G | Los Angeles |\n| Chris Paul | 44 | 19 | 4 | 15 | 7-21 | 33% | 1-7 | 14% | 4-4 | 100% | 4 | 1 | 0 | 0 | 4 | 1 | G | Los Angeles |\n| DeAndre Jordan | 36 | 15 | 14 | 0 | 4-5 | 80% | 0-0 | 0% | 7-15 | 47% | 0 | 2 | 3 | 3 | 11 | 2 | C | Los Angeles |\n| Jamal Crawford | 25 | 10 | 1 | 1 | 4-9 | 44% | 0-2 | 0% | 2-2 | 100% | 0 | 2 | 0 | 0 | 1 | 2 | N/A | Los Angeles |\n| Matt Barnes | 29 | 8 | 7 | 0 | 3-3 | 100% | 2-2 | 100% | 0-0 | 0% | 2 | 1 | 0 | 2 | 5 | 4 | F | Los Angeles |\n| Austin Rivers | 11 | 3 | 0 | 0 | 1-6 | 17% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Los Angeles |\n| Glen Davis | 10 | 2 | 3 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 3 | 0 | 5 | N/A | Los Angeles |\n| Dahntay Jones | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Los Angeles |\n| Spencer Hawes | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Los Angeles |\n| Hedo Turkoglu | 4 | 0 | 2 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Los Angeles |\n| Lester Hudson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Ekpe Udoh | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |" + } + ] + }, + { + "id": "table_recognition_train_item_51396", + "image": "table_instructV/images/TAT-QA_93339b76-1f90-4d86-8f31-bbb7bff71603.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| £m | Investment and development property | Other temporary differences | Total |\n| --- | --- | --- | --- |\n| Provided deferred tax provision/(asset): | | | |\n| At 1 January 2018 | 24.6 | (0.9) | 23.7 |\n| Recognised in the income statement | (5.5) | (0.3) | (5.8) |\n| Foreign exchange movements | 0.1 | – | 0.1 |\n| At 31 December 2018 | 19.2 | (1.2) | 18.0 |\n| Recognised in the income statement | (16.4) | (0.2) | (16.6) |\n| Foreign exchange movements | (0.5) | – | (0.5) |\n| At 31 December 2019 | 2.3 | (1.4) | 0.9 |" + } + ] + }, + { + "id": "table_recognition_train_item_64996", + "image": "table_instructV/images/TabFact_2-1859269-9.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| rank | player | goals | apps | rate |\n| --- | --- | --- | --- | --- |\n| 1 | hami mandıralı | 31 | 54 | 0.57 |\n| 2 | cemil turan | 30 | 55 | 0.55 |\n| 2 | fevzi zemzem | 30 | 40 | 0.75 |\n| 4 | tanju çolak | 26 | 39 | 0.67 |\n| 5 | ümit karan | 25 | 43 | 0.58 |\n| 5 | hakan şükür | 25 | 68 | 0.37 |\n| 7 | ertuğrul sağlam | 24 | 42 | 0.57 |\n| 8 | bobô | 24 | 38 | 0.63 |\n| 9 | mustafa denizli | 24 | 68 | 0.35 |\n| 10 | mehmet yılmaz | 23 | 34 | 0.68 |" + } + ] + }, + { + "id": "table_recognition_train_item_107224", + "image": "table_instructV/images/ToTTo_train_table_30348.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Place | Nation | Solo | Duet | Team | Total |\n| --- | --- | --- | --- | --- | --- |\n| 1 | Russia Russia | 118 | 174 | 192 | 484 |\n| 2 | Japan Japan | 112 | 168 | 186 | 466 |\n| 3 | United States USA | 104 | 156 | 180 | 440 |\n| 4 | Canada Canada | 94 | 153 | 174 | 421 |\n| 5 | Spain Spain | 98 | 138 | 168 | 404 |\n| 6 | China China | 84 | 132 | 162 | 378 |\n| 7 | France France | 96 | 126 | 138 | 360 |\n| 8 | Italy Italy | 66 | 99 | 156 | 321 |\n| 9 | Greece Greece | 54 | 90 | 150 | 294 |\n| 10 | Brazil Brazil | 58 | 102 | 132 | 292 |\n| 11 | Switzerland Switzerland | 62 | 78 | 144 | 284 |\n| 12 | Egypt Egypt | 20 | 33 | 126 | 179 |" + } + ] + }, + { + "id": "table_recognition_train_item_35378", + "image": "table_instructV/images/TABMWP_31732.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | Horizontally | Vertically |\n| --- | --- | --- |\n| 50 photos | 5 | 2 |\n| 100 photos | 3 | 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_113267", + "image": "table_instructV/images/Rotowire_train_table_976.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wizards | Washington | 100 | 22 | 22 | 32 | 24 | 21 | 40 | 12 | 48 | 71 | 27 | 5 | 10 | | | | |\n| Spurs | San Antonio | 112 | 23 | 31 | 36 | 22 | 22 | 38 | 14 | 53 | 79 | 38 | 14 | 3 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| Bradley Beal | 38 | 25 | 6 | 5 | 11-23 | 48% | 3-9 | 33% | 0-0 | 0% | 2 | 0 | 0 | 2 | 4 | 0 | G | Washington |\n| John Wall | 37 | 21 | 3 | 5 | 8-16 | 50% | 0-1 | 0% | 5-7 | 71% | 1 | 4 | 0 | 0 | 3 | 3 | G | Washington |\n| Otto Porter Jr. | 38 | 14 | 8 | 3 | 6-8 | 75% | 1-1 | 100% | 1-1 | 100% | 3 | 1 | 0 | 2 | 6 | 5 | F | Washington |\n| Markieff Morris | 18 | 12 | 1 | 1 | 4-9 | 44% | 2-3 | 67% | 2-2 | 100% | 1 | 1 | 0 | 1 | 0 | 4 | F | Washington |\n| Marcin Gortat | 33 | 10 | 10 | 1 | 5-7 | 71% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 2 | 8 | 3 | C | Washington |\n| Trey Burke | 9 | 8 | 0 | 1 | 4-7 | 57% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Washington |\n| Jason Smith | 16 | 4 | 4 | 0 | 2-6 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 2 | 2 | 1 | N/A | Washington |\n| Marcus Thornton | 15 | 2 | 4 | 2 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 2 | 2 | 0 | N/A | Washington |\n| Andrew Nicholson | 7 | 2 | 1 | 0 | 1-4 | 25% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 3 | N/A | Washington |\n| Kelly Oubre Jr. | 3 | 1 | 1 | 0 | 0-1 | 0% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Washington |\n| Ian Mahinmi | 14 | 1 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 1-2 | 50% | 1 | 2 | 1 | 0 | 1 | 3 | N/A | Washington |\n| Sheldon McClellan | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Washington |\n| Tomas Satoransky | 12 | 0 | 1 | 3 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 2 | 1 | 0 | 1 | 0 | 3 | N/A | Washington |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| LaMarcus Aldridge | 34 | 24 | 7 | 0 | 9-17 | 53% | 1-3 | 33% | 5-6 | 83% | 1 | 1 | 0 | 2 | 5 | 2 | F | San Antonio |\n| Tony Parker | 27 | 20 | 1 | 3 | 8-13 | 62% | 1-1 | 100% | 3-3 | 100% | 0 | 3 | 0 | 1 | 0 | 1 | G | San Antonio |\n| Kawhi Leonard | 36 | 19 | 1 | 5 | 5-14 | 36% | 1-6 | 17% | 8-10 | 80% | 3 | 3 | 0 | 0 | 1 | 1 | F | San Antonio |\n| Jonathon Simmons | 23 | 15 | 1 | 4 | 5-6 | 83% | 1-2 | 50% | 4-4 | 100% | 2 | 2 | 1 | 1 | 0 | 5 | N/A | San Antonio |\n| Patty Mills | 19 | 13 | 3 | 4 | 4-7 | 57% | 3-5 | 60% | 2-2 | 100% | 0 | 1 | 0 | 0 | 3 | 1 | N/A | San Antonio |\n| Pau Gasol | 29 | 8 | 10 | 2 | 4-7 | 57% | 0-1 | 0% | 0-0 | 0% | 1 | 2 | 1 | 2 | 8 | 3 | C | San Antonio |\n| Danny Green | 27 | 6 | 5 | 2 | 2-4 | 50% | 2-4 | 50% | 0-0 | 0% | 0 | 1 | 1 | 0 | 5 | 1 | G | San Antonio |\n| David Lee | 20 | 4 | 7 | 1 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 2 | 0 | 7 | 3 | N/A | San Antonio |\n| Kyle Anderson | 9 | 3 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | San Antonio |\n| Davis Bertans | 11 | 0 | 1 | 1 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 1 | 0 | N/A | San Antonio |\n| Dejounte Murray | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-2 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | San Antonio |\n| Nicolas Laprovittola | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | San Antonio |\n| Bryn Forbes | 1 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | San Antonio |" + } + ] + }, + { + "id": "table_recognition_train_item_52576", + "image": "table_instructV/images/TabFact_2-17922810-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| outcome | date | tournament | surface | opponent | score |\n| --- | --- | --- | --- | --- | --- |\n| runner - up | august 20 , 2007 | karshi | hard | denis istomin | 1 - 6 , 4 - 6 |\n| winner | july 13 , 2008 | israel open | hard | ivo klec | 6 - 4 , 6 - 4 |\n| runner - up | may 17 , 2009 | izmir cup | hard | andrea stoppini | 6 - 7 , 2 - 6 |\n| winner | september 20 , 2010 | banja luka | clay | pere riba | 6 - 0 , 7 - 6 (7 - 4) |\n| runner - up | september 26 , 2010 | izmir cup | hard | somdev devvarman | 4 - 6 , 3 - 6 |\n| runner - up | july 10 , 2011 | scheveningen | clay | steve darcis | 3 - 6 , 6 - 4 , 2 - 6 |\n| runner - up | september 25 , 2011 | izmir cup | hard | lukáš lacko | 4 - 6 , 3 - 6 |\n| runner - up | july 29 , 2012 | president 's cup (tennis) | hard | evgeny donskoy | 3 - 6 , 4 - 6 |" + } + ] + }, + { + "id": "table_recognition_train_item_49458", + "image": "table_instructV/images/TAT-QA_91fa0ed4-3f6a-446f-afdb-5a033f723ec0.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| RELATIVE IMPORTANCE OF SPEND ON PAY | | | |\n| --- | --- | --- | --- |\n| Expenditure USDm | 2019 | 2018 | 2017 |\n| Dividends paid | - | - | 1.2 |\n| Purchase of outstanding treasury shares in TORM A/S | - | - | - |\n| Purchase/disposals of treasury shares | - | - | - |\n| Total | - | - | 1.2 |\n| Staff costs | 45.8 | 46.2 | 43.8 |\n| Retained earnings | 920.0 | 752.0 | 786.0 |" + } + ] + }, + { + "id": "table_recognition_train_item_31884", + "image": "table_instructV/images/TABMWP_12175.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| | Cup | Bowl |\n| --- | --- | --- |\n| Split pea | 4 | 2 |\n| Chicken noodle | 4 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_117279", + "image": "table_instructV/images/Rotowire_train_table_2982.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Grizzlies | Memphis | 105 | 21 | 26 | 37 | 21 | 25 | 45 | 17 | 52 | 63 | 47 | 25 | 9 | | | | |\n| Knicks | New York | 83 | 14 | 22 | 26 | 21 | 25 | 37 | 20 | 43 | 69 | 31 | 5 | 32 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Grizzlies | | | | | | | | | | | | | | | | | | |\n| Mike Conley | 27 | 22 | 7 | 7 | 9-12 | 75% | 2-3 | 67% | 2-2 | 100% | 2 | 1 | 0 | 2 | 5 | 0 | G | Memphis |\n| Tony Allen | 25 | 14 | 2 | 1 | 6-8 | 75% | 1-1 | 100% | 1-1 | 100% | 7 | 1 | 1 | 0 | 2 | 1 | F | Memphis |\n| Marc Gasol | 28 | 14 | 8 | 4 | 5-12 | 42% | 0-0 | 0% | 4-5 | 80% | 1 | 4 | 2 | 1 | 7 | 1 | C | Memphis |\n| Courtney Lee | 26 | 11 | 2 | 1 | 5-8 | 63% | 1-3 | 33% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 0 | G | Memphis |\n| Quincy Pondexter | 21 | 8 | 5 | 1 | 4-5 | 80% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 2 | 3 | 3 | N/A | Memphis |\n| Tayshaun Prince | 23 | 8 | 4 | 4 | 4-7 | 57% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 0 | 4 | 1 | N/A | Memphis |\n| Beno Udrih | 15 | 7 | 1 | 3 | 2-7 | 29% | 1-3 | 33% | 2-3 | 67% | 1 | 1 | 0 | 0 | 1 | 0 | N/A | Memphis |\n| Vince Carter | 12 | 6 | 0 | 0 | 2-4 | 50% | 2-2 | 100% | 0-0 | 0% | 0 | 0 | 1 | 0 | 0 | 1 | N/A | Memphis |\n| Nick Calathes | 6 | 4 | 2 | 0 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 2 | 0 | 2 | N/A | Memphis |\n| Kosta Koufos | 14 | 4 | 5 | 0 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 4 | 1 | N/A | Memphis |\n| Jarnell Stokes | 17 | 3 | 1 | 0 | 1-4 | 25% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 0 | 1 | 0 | 4 | F | Memphis |\n| Jon Leuer | 15 | 3 | 7 | 3 | 1-3 | 33% | 0-0 | 0% | 1-2 | 50% | 0 | 3 | 0 | 1 | 6 | 0 | N/A | Memphis |\n| Jordan Adams | 10 | 1 | 1 | 1 | 0-5 | 0% | 0-2 | 0% | 1-4 | 25% | 1 | 0 | 0 | 1 | 0 | 1 | N/A | Memphis |\n| Knicks | | | | | | | | | | | | | | | | | | |\n| Quincy Acy | 31 | 19 | 14 | 1 | 7-8 | 88% | 2-3 | 67% | 3-4 | 75% | 1 | 1 | 0 | 3 | 11 | 3 | N/A | New York |\n| Jose Calderon | 30 | 13 | 0 | 6 | 5-7 | 71% | 3-3 | 100% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 0 | G | New York |\n| Tim Hardaway Jr. | 34 | 12 | 2 | 1 | 4-14 | 29% | 2-8 | 25% | 2-4 | 50% | 0 | 1 | 1 | 0 | 2 | 1 | F | New York |\n| Jason Smith | 22 | 10 | 5 | 0 | 4-11 | 36% | 0-0 | 0% | 2-2 | 100% | 0 | 3 | 2 | 1 | 4 | 3 | F | New York |\n| Shane Larkin | 31 | 7 | 3 | 8 | 3-6 | 50% | 1-4 | 25% | 0-0 | 0% | 2 | 1 | 0 | 0 | 3 | 2 | G | New York |\n| Cole Aldrich | 20 | 7 | 3 | 2 | 3-6 | 50% | 0-0 | 0% | 1-1 | 100% | 1 | 5 | 1 | 0 | 3 | 3 | C | New York |\n| Cleanthony Early | 29 | 7 | 4 | 1 | 3-12 | 25% | 0-4 | 0% | 1-2 | 50% | 2 | 2 | 1 | 2 | 2 | 4 | N/A | New York |\n| Pablo Prigioni | 22 | 4 | 1 | 4 | 2-5 | 40% | 0-3 | 0% | 0-0 | 0% | 1 | 3 | 0 | 0 | 1 | 0 | N/A | New York |\n| Travis Wear | 22 | 4 | 5 | 2 | 2-7 | 29% | 0-1 | 0% | 0-0 | 0% | 2 | 2 | 0 | 1 | 4 | 1 | N/A | New York |\n| Andrea Bargnani | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| JR Smith | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Samuel Dalembert | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |" + } + ] + }, + { + "id": "table_recognition_train_item_58306", + "image": "table_instructV/images/TabFact_1-15635768-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| ecosystem | date of issue | place of issue | no stamps in sheet | face value | printer |\n| --- | --- | --- | --- | --- | --- |\n| sonoran desert | april 6 , 1999 | tucson , arizona | 10 | 33 | banknote corporation of america |\n| pacific coast rain forest | march 28 , 2000 | seattle , washington | 10 | 33 | banknote corporation of america |\n| great plains prairie | march 29 , 2001 | lincoln , nebraska | 10 | 34 | ashton - potter (usa) ltd |\n| longleaf pine forest | april 26 , 2002 | tallahassee , florida | 10 | 34 | american packaging corp for sennet security |\n| arctic tundra | july 1 , 2003 | fairbanks , alaska | 10 | 37 | banknote corporation of america |\n| pacific coral reef | jan 2 , 2004 | honolulu , hawaii | 10 | 37 | avery dennison |\n| northeast deciduous forest | march 3 , 2005 | new york , new york | 10 | 37 | avery dennison |\n| southern florida wetland | october 5 , 2006 | naples , florida | 10 | 39 | avery dennison |\n| alpine tundra | august 28 , 2007 | estes park , colorado | 10 | 41 | sennett security products |\n| great lakes dunes | october 2 , 2008 | empire , michigan | 10 | 42 | avery dennison |\n| kelp forest | october 1 , 2009 | monterey , california | 10 | 44 | avery dennison |" + } + ] + }, + { + "id": "table_recognition_train_item_116297", + "image": "table_instructV/images/Rotowire_train_table_2491.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 76ers | Philadelphia | 103 | 26 | 24 | 30 | 23 | 28 | 47 | 15 | 47 | 65 | 44 | 1 | 18 | | | | |\n| Lakers | Los Angeles | 91 | 33 | 25 | 17 | 16 | 15 | 46 | 11 | 37 | 71 | 24 | 2 | 15 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Robert Covington | 34 | 23 | 5 | 4 | 8-16 | 50% | 5-11 | 46% | 2-4 | 50% | 0 | 3 | 2 | 1 | 4 | 3 | F | Philadelphia |\n| Nerlens Noel | 26 | 14 | 9 | 3 | 5-7 | 71% | 0-0 | 0% | 4-6 | 67% | 1 | 3 | 0 | 2 | 7 | 1 | N/A | Philadelphia |\n| Jerami Grant | 31 | 14 | 7 | 4 | 6-7 | 86% | 0-1 | 0% | 2-2 | 100% | 1 | 0 | 4 | 0 | 7 | 3 | F | Philadelphia |\n| Jahlil Okafor | 30 | 12 | 5 | 2 | 6-14 | 43% | 0-0 | 0% | 0-1 | 0% | 0 | 2 | 1 | 3 | 2 | 1 | C | Philadelphia |\n| Isaiah Canaan | 30 | 12 | 3 | 5 | 4-9 | 44% | 4-7 | 57% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 1 | G | Philadelphia |\n| Hollis Thompson | 29 | 12 | 5 | 1 | 3-10 | 30% | 2-6 | 33% | 4-4 | 100% | 0 | 3 | 1 | 2 | 3 | 3 | N/A | Philadelphia |\n| TJ McConnell | 21 | 7 | 5 | 6 | 3-6 | 50% | 1-3 | 33% | 0-0 | 0% | 2 | 1 | 0 | 0 | 5 | 0 | N/A | Philadelphia |\n| Nik Stauskas | 15 | 6 | 1 | 0 | 2-5 | 40% | 2-4 | 50% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 3 | N/A | Philadelphia |\n| JaKarr Sampson | 19 | 2 | 7 | 1 | 0-5 | 0% | 0-0 | 0% | 2-4 | 50% | 0 | 3 | 0 | 2 | 5 | 1 | G | Philadelphia |\n| Phil Pressey | 6 | 1 | 0 | 2 | 0-0 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Philadelphia |\n| Carl Landry | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Christian Wood | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Richaun Holmes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Lakers | | | | | | | | | | | | | | | | | | |\n| Kobe Bryant | 32 | 20 | 5 | 2 | 7-26 | 27% | 4-17 | 24% | 2-4 | 50% | 1 | 3 | 0 | 1 | 4 | 3 | F | Los Angeles |\n| Jordan Clarkson | 38 | 19 | 5 | 2 | 9-19 | 47% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 1 | 4 | 1 | G | Los Angeles |\n| Julius Randle | 28 | 12 | 11 | 2 | 5-12 | 42% | 0-1 | 0% | 2-3 | 67% | 1 | 0 | 0 | 3 | 8 | 4 | F | Los Angeles |\n| D'Angelo Russell | 37 | 12 | 4 | 4 | 5-14 | 36% | 1-5 | 20% | 1-2 | 50% | 0 | 2 | 0 | 2 | 2 | 2 | G | Los Angeles |\n| Lou Williams | 21 | 9 | 0 | 1 | 2-6 | 33% | 1-3 | 33% | 4-5 | 80% | 1 | 1 | 0 | 0 | 0 | 1 | N/A | Los Angeles |\n| Roy Hibbert | 33 | 6 | 10 | 2 | 2-4 | 50% | 0-0 | 0% | 2-2 | 100% | 1 | 0 | 2 | 4 | 6 | 4 | C | Los Angeles |\n| Metta World Peace | 19 | 5 | 5 | 1 | 0-3 | 0% | 0-2 | 0% | 5-6 | 83% | 0 | 2 | 0 | 0 | 5 | 1 | N/A | Los Angeles |\n| Nick Young | 12 | 4 | 1 | 0 | 1-3 | 33% | 1-3 | 33% | 1-2 | 50% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Los Angeles |\n| Brandon Bass | 15 | 4 | 3 | 0 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 3 | N/A | Los Angeles |\n| Larry Nance Jr. | 5 | 0 | 2 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 0 | N/A | Los Angeles |\n| Marcelo Huertas | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Tarik Black | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Ryan Kelly | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |" + } + ] + }, + { + "id": "table_recognition_train_item_105509", + "image": "table_instructV/images/ToTTo_train_table_23105.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 2012 | The Judas Kiss | Arthur Wellesley | Hampstead Theatre and Duke of York's Theatre |" + } + ] + }, + { + "id": "table_recognition_train_item_59890", + "image": "table_instructV/images/TabFact_2-13564702-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| club | played | drawn | lost | points for | points against | points |\n| --- | --- | --- | --- | --- | --- | --- |\n| club | played | drawn | lost | points for | points against | points |\n| mumbles rfc | 24 | 0 | 2 | 875 | 230 | 66 |\n| heol y cyw rfc | 24 | 1 | 7 | 598 | 424 | 49 |\n| tondu rfc | 24 | 0 | 8 | 549 | 387 | 48 |\n| aberavon quins rfc | 24 | 0 | 10 | 547 | 345 | 42 |\n| nantyffyllon rfc | 24 | 0 | 11 | 503 | 410 | 39 |\n| vardre rfc | 24 | 0 | 12 | 510 | 489 | 36 |\n| kenfig hill rfc | 24 | 0 | 12 | 546 | 527 | 36 |\n| amman united rfc | 24 | 0 | 12 | 369 | 512 | 36 |\n| skewen rfc | 24 | 1 | 12 | 403 | 487 | 34 |\n| banwen rfc | 24 | 0 | 16 | 346 | 471 | 24 |\n| cwmgors rfc | 24 | 0 | 17 | 336 | 723 | 21 |\n| bryncoch rfc | 24 | 0 | 17 | 355 | 693 | 21 |\n| brynamman rfc | 24 | 0 | 19 | 371 | 610 | 15 |" + } + ] + }, + { + "id": "table_recognition_train_item_35262", + "image": "table_instructV/images/TABMWP_28064.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 14 | 14 |\n| 19 | 10 |\n| 14 | 16 |" + } + ] + }, + { + "id": "table_recognition_train_item_106707", + "image": "table_instructV/images/ToTTo_train_table_28199.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Ward | Previous Councillor (2006) | Previous Party (2006) | Winning Councillor | Winning Party |\n| --- | --- | --- | --- | --- |\n| Budshead | Grant Monahan | Conservative | Grant Monahan | Conservative |\n| Compton | Ted Fry | Conservative | Ted Fry | Conservative |\n| Devonport | William Stevens | Labour Co-operative | William Stevens | Labour Co-operative |\n| Drake | Steven Ricketts | Conservative | Steven Ricketts | Conservative |\n| Efford and Lipson | Andy Kerswell | Labour Co-operative (later independent) | David Haydon and Pauline Murphy | Labour |\n| Eggbuckland | Ian Bowyer | Conservative | Ian Bowyer | Conservative |\n| Ham | Ian Gordon | Labour | Ian Gordon | Labour |\n| Honicknowle | Pauline Purnell | Labour | Nicky Williams | Labour |\n| Moor View | Michael Foster | Conservative | Mike Wright | Labour |\n| Peverell | Martin Leaves | Conservative | Martin Leaves | Conservative |\n| Plympton Chaddlewood | Glenn Jordan | Conservative | Glenn Jordan | Conservative |\n| Plympton St Mary | David James | Conservative | David James | Conservative |\n| Plymstock Dunstone | VivienPengelly | Conservative | VivienPengelly | Conservative |\n| Plymstock Radford | Wendy Foster | Conservative | Wendy Foster | Conservative |\n| St Budeaux | Sally Letcher | Labour | Sally Bowie (née Letcher) | Labour |\n| St Peter and The Waterfront | Sue McDonald | Labour | Sue McDonald | Labour |\n| Southway | James Kirk | Labour Co-operative | Tom Browne | Conservative |\n| Stoke | Jill Dolan | Conservative | Jill Dolan | Conservative |\n| Sutton and Mount Gould | Mary Aspinall | Labour Co-operative | Mary Aspinall | Labour Co-operative |" + } + ] + }, + { + "id": "table_recognition_train_item_58554", + "image": "table_instructV/images/TabFact_2-12938428-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| date | visiting team | home team | stadium | regular season / preseason |\n| --- | --- | --- | --- | --- |\n| september 8 , 2002 | dallas cowboys 10 | houston texans 19 | reliant stadium | regular season game |\n| august 15 , 2003 | houston texans 6 | dallas cowboys 34 | texas stadium | preseason game |\n| august 14 , 2004 | dallas cowboys 0 | houston texans 18 | reliant stadium | preseason game |\n| august 15 , 2005 | houston texans 9 | dallas cowboys 21 | texas stadium | preseason game |\n| october 15 , 2006 | houston texans 6 | dallas cowboys 34 | texas stadium | regular season game |\n| august 25 , 2007 | dallas cowboys 16 | houston texans 28 | reliant stadium | preseason game |\n| august 22 , 2008 | houston texans 22 | dallas cowboys 23 | texas stadium | preseason game |\n| august 28 , 2010 | dallas cowboys 7 | houston texans 23 | reliant stadium | preseason game |\n| september 26 , 2010 | dallas cowboys 27 | houston texans 13 | reliant stadium | regular season game |\n| august 29 , 2013 | houston texans 24 | dallas cowboys 6 | at&t stadium | preseason game |" + } + ] + }, + { + "id": "table_recognition_train_item_108224", + "image": "table_instructV/images/ToTTo_train_table_34583.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Mall name, location | Prv | Retail space (sq. ft.) | Retail space (m²) | Stores | Major tenants | Ownership | Year opened | Annual visitors | Revenue per square foot |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| West Edmonton Mall, Edmonton | Alberta | 3,800,000 | 350,000 | 800+ | Abercrombie and Fitch, Hudson's Bay, Simons, T & T Supermarket, Scotiabank Theatre, Galaxyland, World Waterpark, Victoria's Secret, Bed Bath & Beyond, Zara, Sport Chek, H&M, Dollarama, Winners, Old Navy, Uniqlo, Harry Rosen, The Brick, Muji, Chapters, Forever 21, Urban Outfitters, Urban Planet, Le Château, Apple Store, Aritzia, Sephora, Hollister, American Eagle Outfitters, Mark's, DSW, Microsoft Store, Palace Casino, Anthropologie, Urban Behaviour, London Drugs, Crunch Fitness, International Clothiers, Ardene, Reitmans, Garage, Dynamite. | Triple Five Group | 1981 | 29 million | $727 |\n| Square One, Mississauga | Ontario | 2,200,000 | 204,386.7 | 360 | Hudson's Bay, Holt Renfrew, Simons, Topshop, Topman, Harry Rosen Inc., Walmart, Cineplex Entertainment, Crate & Barrel, Whole Foods, Zara, Forever 21, Sport Chek, Victoria's Secret, Apple Store, H&M, Gap, Shoppers Drug Mart, GoodLife Fitness, Urban Outfitters, Urban Planet, Sephora, Old Navy, American Eagle Outfitters, Moxie's Grill & Bar, Jamie's Italian, Earl's, Chapters, Playdium, Dollarama. | Oxford Properties | 1973 | 24 million | $1064 |\n| Metropolis at Metrotown, Burnaby | British Columbia | 1,795,591 | 166,815.9 | 362 | Hudson's Bay, Simons, Walmart, Real Canadian Superstore, Nordstrom, Winners, HomeSense, T & T Supermarket, Cineplex Entertainment, Sport Chek / Atmosphere, Toys \"R\" Us, H&M, Forever 21, Victoria's Secret, Chapters, Urban Behaviour, Urban Planet, Reitmans, Ardene, Sephora, Shoppers Drug Mart, Payless ShoeSource, Old Navy, Zara, Gap, Apple Store, Samsung Store, Uniqlo | Ivanhoé Cambridge | 1986 | 28.7 million | $1031 |\n| Eaton Centre, Toronto | Ontario | 1,722,000 | 160,000 | 330 | Nordstrom, Canadian Tire, Sport Chek, Atmosphere, Shoppers Drug Mart, Hudson's Bay, Zara, Best Buy, Mark's, Victoria's Secret, Apple Store, H&M, Gap, American Eagle Outfitters, Hollister, Old Navy, Harry Rosen, Forever 21, Richtree Natural Market, Shoppers Drug Mart, Le Château, Uniqlo, Sephora, Indigo, Strategic Health. | Cadillac Fairview | 1977 | 50 million | $1528 |\n| Yorkdale Shopping Centre, Toronto | Ontario | 2,000,000 | 185,806 | 270 | Nordstrom, Uniqlo, Muji, Canada Goose, Arc'teryx, Holt Renfrew, Hudson's Bay, Cineplex Entertainment, Sport Chek, Crate & Barrel, Topshop, Topman, Shoppers Drug Mart, Home Outfitters, Bombay, Disney Store, Apple Store, Microsoft Store, Harry Rosen, H&M, Zara, Old Navy, Victoria's Secret, JOEY, Gap. | Oxford Properties | 1964 | 18 million | $1,905 |\n| Rideau Centre, Ottawa | Ontario | 1,545,113 | 143,545.69 | 150 | Hudson's Bay, Nordstrom, La Maison Simons, Apple Store, Shoppers Drug Mart, Sport Chek, Old Navy, Victoria's Secret, Le Château, Club Monaco, Ted Baker, GoodLife Fitness, Disney Store, H&M, Gap Inc., American Eagle Outfitters, Hollister, Old Navy, Harry Rosen, Forever 21, Zara, LCBO | Cadillac Fairview | 1983 | 20 million | $987 |\n| Bramalea City Centre, Brampton | Ontario | 1,504,013 | 139,727.38 | 342 | Hudson's Bay, Best Buy, Metro, FreshCo, Joe Fresh, Shoppers Drug Mart, Melonhead, Sport Chek, GoodLife Fitness, Old Navy, Home Outfitters, H&M, American Eagle Outfitters, Dollarama, Forever 21, Hollister, Le Château, Sephora, Urban Planet | Morguard | 1973 | 16 million | $580 |\n| Galeries de la Capitale, Quebec City | Quebec | 1,496,000 | 138,982 | 280 | Hudson's Bay, Simons, Hart, Mega Parc Amusement Park, Best Buy, Toys \"R\" Us, Sports Experts/Atmosphère, IMAX, American Eagle Outfitters, Dollarama, Forever 21, Golf Town, H&M, Le Château, Pier 1 Imports. | Oxford Properties | 1981 | 10 million | $607 |\n| Chinook Centre, Calgary | Alberta | 1,374,580 | 127,702.66 | 242 | Hudson's Bay, Nordstrom, Saks Fifth Avenue, Scotiabank Theatre, Topshop, Topman, Pottery Barn, Gap, Sport Chek, Chapters, Urban Outfitters, Apple Store, Microsoft, Victoria's Secret, H&M, Shoppers Drug Mart, Old Navy, Urban Behavior, Kal Tire, Zara, American Eagle Outfitters, Sephora, Harry Rosen, Hollister, Anthropologie, Boston Pizza. | Cadillac Fairview | 1960 | 15 million | $1,075 |\n| Park Royal, West Vancouver | British Columbia | 1,370,000 | 127,277 | 200+ | Hudson's Bay, Indigo, Simons, Loblaws CityMarket, London Drugs, Sport Chek, Atmosphere, Winners, Staples | Larco Investments LTD | 1950 | ~ 15 million | $874 |\n| Carrefour Laval, Laval | Quebec | 1,336,673 | 115,478 | 300 | La Baie d'Hudson, Apple Store, Rona L'Entrepôt, Simons, H&M, Zara, Crate & Barrel, Bureau en Gros, Topshop | Cadillac Fairview | 1974 | 11 million | $873 |\n| Scarborough Town Centre, Toronto | Ontario | 1,300,000 | 120,773 | 250 | Hudson's Bay, Walmart, Cineplex Entertainment, Real Canadian Superstore, Best Buy, Shoppers Drug Mart, American Eagle Outfitters, Dollarama, Forever 21, Gap, H&M, Old Navy, Urban Planet, Victoria's Secret, Zara, Muji | Oxford Properties | 1973 | 22 million | $866 |\n| Vaughan Mills, Vaughan | Ontario | 1,270,111 | 117,996.19 | 222 | Bass Pro Shops' Outdoor World, One's Better Living, Urban Behavior, Linens 'N Things, Home Outfitters, Old Navy, Lucky Strike Lanes, Toys \"R\" Us, Winners, HomeSense, Urban Home, Holt Renfrew, Last Call | Ivanhoé Cambridge | 2004 | 12.9 million | $792 |\n| Oshawa Centre, Oshawa | Ontario | 1,219,962 | 113,338 | 237 | Hudson's Bay, H&M, Victoria's Secret, Sport Chek, Staples, Shoppers Drug Mart, GoodLife Fitness, Indigo, Old Navy | Ivanhoé Cambridge | 1956 | 7.8 million | $636 |\n| Guildford Town Centre (mall), Surrey | British Columbia | 1,203,584 | 111,815.68 | 215 | Hudson's Bay, Walmart, London Drugs, Old Navy, H&M, Forever 21 | Ivanhoé Cambridge | 1966 | 14.5 million | $875 |\n| Polo Park, Winnipeg | Manitoba | 1,198,577 | 111,351.45 | 210 | Hudson's Bay, Sport Chek, Shoppers Drug Mart, Scotiabank Theatre, Apple Store, Marshalls, Mark's, Bed Bath & Beyond, Forever 21, H&M, Urban Outfitters, Urban Planet, Victoria's Secret, Hollister Co., American Eagle Outfitters, Cora, Moxie's Grill & Bar, Pier 1 Imports, E3Q, Earl's, JOEY, Harry Rosen, Anthropologie, Gap, Atmosphere | Cadillac Fairview | 1959 | 11 million | $921 |\n| Laurier Québec, Quebec City | Quebec | 1,176,691 | 110,822 | 265 | Hudson's Bay, Toys \"R\" Us, Best Buy | Ivanhoé Cambridge | 1961 | 11.4 million | $531 |\n| Sherway Gardens, Toronto | Ontario | 1,182,000 | 109,811.40 | 215 | Hudson's Bay, Saks Fifth Avenue, Holt Renfrew, Nordstrom, Zara, Apple Store | Cadillac Fairview | 1971 | 8.7 million | $956 |\n| CrossIron Mills, Calgary | Alberta | 1,161,661 | 107,920.94 | 192 | Bass Pro Shops Outdoor World, Bed, Bath & Beyond, Cineplex Entertainment, Sport Chek, Toys \"R\" Us/Babies \"R\" Us, Winners, HomeSense, Old Navy, Victoria's Secret/Pink, H&M, Saks Off 5th | Ivanhoé Cambridge | 2009 | 9.2 million | $662 |\n| Carrefour de l'Estrie, Sherbrooke | Quebec | 1,147,382 | 107,798 | 140 | Hudson's Bay, Simons, Toys \"R\" Us, Super C, H&M, Sports Experts, Urban Planet, Marshalls, Old Navy, Renaud-Bray, Best Buy | Ivanhoé Cambridge | 1973 | 6.7 million | $455 |\n| Place Versailles, Montreal | Quebec | 1,100,000 | 102,193 | 225 | HomeSense, Winners, Maxi, Bureau en Gros | Place Versailles, Inc. | 1963 | 8 million | $804 |\n| Southcentre Mall, Calgary | Alberta | 1,100,000 | 102,193 | 190 | Hudson's Bay, Sport Chek, Crate & Barrel, Sporting Life | Oxford Properties | 1974 | 6.7 million | $643 |\n| Tsawwassen Mills, Delta | British Columbia | 1,097,346 | 101,945.93 | 188 | Calvin Klein, Canucks Team Store, The Children’s Place Outlet, DSW, Forever 21, Guess, Gap, Levi’s, Michael Kors, Nine West, Winners, Bass Pro Shops, Brooks Brothers, Marshalls, Mavi Jeans and Geox Outlet | Ivanhoé Cambridge | 2016 | 4.1 million | $347 |\n| Les Galeries d'Anjou, Montreal | Quebec | 1,086,281 | 103,493 | 159 | La Baie d'Hudson, Brick, H&M | CF/IC* | 1968 | 8.1 million | $637 |\n| The Pen Centre, St. Catharines | Ontario | 1,072,132 | 99,604 | 180 | Hudson's Bay, Zehrs, Landmark Cinemas, Winners, HomeSense, Sport Chek, Mademoiselle Woman's Fitness | Cushman & Wakefield | 1958 | 11.1 million | $447 |\n| Devonshire Mall, Windsor | Ontario | 1,085,991 | 98,149.6 | 200 | Hudson's Bay, Sport Chek, Chapters, Metro, Mandarin Restaurant, Cineplex Entertainment, H&M, F21 Red, Mark's | Cushman & Wakefield | 1970 | 7 million | $569 |\n| Fairview Pointe-Claire, Pointe-Claire | Quebec | 1,045,259 | 94,761 | 184 | Hudson's Bay, Home Outfitters, Winners, HomeSense, Best Buy | CF/IC* | 1965 | 8 million | $769 |\n| Markville Shopping Centre, Markham | Ontario | 1,017,199 | 94,500.88 | 153 | Hudson's Bay, Walmart, Best Buy, Winners, HomeSense, Sporting Life, GoodLife Fitness, Toys \"R\" Us, Shoppers Drug Mart, Melonhead, Muji | Cadillac Fairview | 1982 | 12 million | $809 |\n| Upper Canada Mall, Newmarket | Ontario | 984,502 | 91,497 | 204 | Hudson's Bay, Sport Chek, Toys \"R\" Us | Oxford Properties | 1974 | 7.4 million | $779 |\n| Kingsway Mall, Edmonton | Alberta | 977,880 | 90,848 | 180 | Hudson's Bay, Sport Chek, H&M, Forever 21 | Oxford Properties | 1976 | 6.6 million | $689 |\n| Southgate Centre, Edmonton | Alberta | 940,674 | 87,390.75 | 160 | Hudson's Bay, Safeway, Crate & Barrel, Restoration Hardware, Apple | Ivanhoé Cambridge | 1970 | 9.2 million | $1147 |\n| Coquitlam Centre, Coquitlam | British Columbia | 932,459 | 86,628 | 198 | Hudson's Bay, Walmart, Best Buy, London Drugs, Sport Chek, T & T Supermarket, Atmosphere, H&M, Gap, Apple Store, Sephora | Morguard | 1979 | 12 million | $823 (as of 2018) |\n| St. Vital Centre, Winnipeg | Manitoba | 927,773 | 86,193 | 164 | Hudson's Bay Company, Sport Chek, Walmart, London Drugs, Famous Players SilverCity, American Eagle Outfitters, Chapters, Victoria's Secret | Cushman & Wakefield | 1979 | 8.6 million | $615 |\n| Promenades Saint-Bruno, Saint-Bruno-de-Montarville | Quebec | 923,837 | 100,706 | 250 | La Baie d'Hudson, Simons, Zara, Bouclair, L'Équipeur | Cadillac Fairview | 1978 | 7 million | $600 |\n| Market Mall, Calgary | Alberta | 918,585 | 85,339.34 | 202 | Hudson's Bay, Safeway, Sport Chek, Toys \"R\" Us | CF/IC* | 1970 | 9 million | $887 |\n| Pickering Town Centre, Pickering | Ontario | 902,141 | 83,812 | 203 | Hudson's Bay, Famous Players, Sport Chek | Cushman & Wakefield | 1972 | 9.88 million | $488 |\n| Place Rosemère, Rosemère | Quebec | 893,176 | 82,978 | 205 | Hudson's Bay, Walmart, Best Buy, Zara, H&M | Morguard | 1975 | 8 million | $490 |\n| Bayshore Shopping Centre, Ottawa | Ontario | 883,250 | 82,055.93 | 192 | Hudson's Bay, Winners, HomeSense, Walmart | Ivanhoé Cambridge | 1973 | 7 million | $707 |\n| Fairview Mall, Toronto | Ontario | 875,357 | 81,323.33 | 169 | Hudson's Bay, SilverCity, Sport Chek, Shoppers Drug Mart | CF/IC* | 1970 | 14 million | $956 |\n| Fleur de Lys centre commercial, Quebec City | Quebec | 859,678 | 79,866 | 200 | Walmart, Maxi | Cushman & Wakefield | 1963 | 8 million | $353 |\n| Erin Mills Town Centre, Mississauga | Ontario | 847,532 | 78,738 | 185 | Hudson's Bay, Sport Chek/Atmosphere, Old Navy, Walmart | Cushman & Wakefield | 1989 | 9 million | $536 |\n| Place Vertu, Montreal | Quebec | 838,089 | 77,861 | 135 | Winners, Canadian Tire, Adonis Supermarket | Cushman & Wakefield | 1975 | 11.5 million | $333 |\n| St. Laurent Centre, Ottawa | Ontario | 834,234 | 77,502.87 | 180 | Hudson's Bay, Sport Chek, Toys \"R\" Us | Morguard | 1967 | 13.4 million | $551 |\n| Sunridge Mall, Calgary | Alberta | 830,751 | 77,179.29 | 150 | Hudson's Bay, Sport Chek | Primaris Management | 1981 | 6 million | |\n| Edmonton City Centre, Edmonton | Alberta | 811,332 | 75,375 | 170 | Hudson's Bay, Sport Chek, Winners | Oxford Properties | 1974 | 9.2 million | $405 |\n| Lime Ridge Mall, Hamilton | Ontario | 805,661 | 75,530.2 | 164 | Hudson's Bay, Home Outfitters, Sport Chek | Cadillac Fairview | 1981 | 10 million | $749 |\n| Richmond Centre, Richmond | British Columbia | 795,891 | 73,940.69 | 183 | Hudson's Bay, Sport Chek, Zara, H&M, Old Navy, Shoppers Drug Mart | Cadillac Fairview | 1965 | 13.2 million | $811 |\n| Carrefour Angrignon, Montreal | Quebec | 785,815 | 69,839 | 200 | Maxi, Staples, Best Buy, Fortune Cinema, Linen Chest | Westcliff Group | 1986 | 8 million | $445 |\n| Londonderry Mall, Edmonton | Alberta | 776,749 | 72,162 | 150 | Hudson's Bay, Winners, Simons, Fit 4 Less, Save-On-Foods, Shoppers Drug Mart, Edmonton Public Library, Fabricland, Dollarama, Ardene, OOMOMO, Urban Planet | Cushman & Wakefield | 1972 | 6 million | $407 |\n| Place d'Orléans, Ottawa | Ontario | 761,000 | 70,699.21 | 175 | Hudson's Bay, The Bay Home Store, Sport Chek, Melonhead | Primaris Management | 1983 | 5.8 million | $440 |\n| Woodgrove Centre, Nanaimo | British Columbia | 751,525 | 69,818.38 | 150 | Hudson's Bay, Walmart, Save-On-Foods, Toys \"R\" Us, Winners, Sport Chek | Ivanhoé Cambridge | 1981 | 5.7 million | $504 |\n| Burlington Mall, Burlington | Ontario | 750,643 | 69,737.02 | 123 | Hudson's Bay, HomeSense, Winners, Shoppers Drug Mart, Canadian Tire | RioCan Real Estate Investment Trust | 1968 | 5.4 million | $480 |\n| Fairview Park Mall, Kitchener | Ontario | 746,240 | 69,327.96 | 128 | Hudson's Bay, Walmart | Cadillac Fairview | 1966 | | $558 |\n| Cambridge Centre, Cambridge | Ontario | 727,249 | 67,563.64 | 147 | Hudson's Bay, Zehrs, Sport Chek, Galaxy Cinemas, Cambridge Ice Centre | Morguard | 1973 | 7.1 million | |\n| Mail Champlain, Brossard | Quebec | 725,824 | 67,431 | 149 | Hudson's Bay, Decathlon Group, Sport Experts/Atmosphère, Archambault | Cominar Real Estate Investment Trust | 1975 | 6 million | $373 |\n| Mic Mac Mall, Dartmouth | Nova Scotia | 715,735 | 66,493.4 | 126 | Hudson's Bay, Winners, HomeSense | Ivanhoé Cambridge | 1973 | 6 million | $545 |\n| Woodbine Centre, Toronto | Ontario | 713,857 | 66,319.5 | 132 | Hudson's Bay, Rainbow Cinemas | Avison Young | 1985 | | |\n| Orchard Park Shopping Centre, Kelowna | British Columbia | 707,580 | 65,728.9 | 170 | Hudson's Bay, Best Buy, Chapters, Sport Chek | Primaris Management | 1971 | | |\n| The Promenade Shopping Centre, Vaughan | Ontario | 703,607 | 65,367.23 | 131 | T & T Supermarket, Sport Chek, H&M, Old Navy, Rainbow Cinemas, Melonhead | Cadillac Fairview | 1986 | | $450 |\n| White Oaks Mall, London | Ontario | 692,912 | 64,373.63 | 185 | Hudson's Bay, Walmart | Bentall Kennedy | 1973 | | |\n| Shoppers World, Brampton | Ontario | 689,840 | 64,088.23 | 190 | Canadian Tire, Oceans Fresh Food Market, Winners, Staples | RioCan Real Estate Investment Trust | 1969 | | |\n| Masonville Place London | Ontario | 686,000 | 63,700 | 200 | Hudson's Bay, SilverCity, Forever 21/XXI, Zara, H&M, Sport Chek/Atmosphere, HomeSense, Marshalls, The Rec Room (Cineplex Entertainment), Shoppers Drug Mart, Apple Store, Aritzia, The Keg, Sephora, Michael Kors, Victoria's Secret | Cadillac Fairview | 1985 | | |\n| Conestoga Mall, Waterloo | Ontario | 681,174 | 63,282.61 | 111 | Hudson's Bay, Zehrs, Galaxy Cinemas, H&M, Old Navy, Winners, Sport Chek, Apple Store | Ivanhoé Cambridge | 1978 | 5.9 million | $800 |\n| Lawrence Square Toronto | Ontario | 679,575 | 63,134.6 | 120 | Canadian Tire, Fortinos, Marshalls, Homesense | RioCan Real Estate Investment Trust | 1989 | | |\n| Centre Rockland, Mount Royal | Quebec | 674,404 | 62,654 | 169 | Hudson's Bay, Linen Chest | Cominar Real Estate Investment Trust | 1959 | 6.5 million | $450 |\n| Centre Laval, Laval | Quebec | 673,000 | 65,002 | 150 | Best Buy, Bureau en Gros, The Brick | Cominar Real Estate Investment Trust | 1968 | 4.5 million | $250 |\n| Champlain Place, Dieppe | New Brunswick | 668,482 | 62,104.01 | 160 | Sobeys, Walmart, Sport Chek, Toys \"R\" Us, H&M | Cadillac Fairview | 1974 | | $532 |" + } + ] + }, + { + "id": "table_recognition_train_item_34458", + "image": "table_instructV/images/TABMWP_3451.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| | Country | Rock |\n| --- | --- | --- |\n| 0-500 plays | 8 | 2 |\n| 501-1,000 plays | 1 | 5 |" + } + ] + }, + { + "id": "table_recognition_train_item_57382", + "image": "table_instructV/images/TabFact_1-23670057-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| no | player | height (m) | height (f) | position | year born | current club |\n| --- | --- | --- | --- | --- | --- | --- |\n| 4 | moran rot | 1.83 | 6'00 | guard | 1982 | hapoel jerusalem |\n| 5 | yuval naimi | 1.87 | 6'02 | guard | 1988 | hapoel jerusalem |\n| 6 | gal mekel | 1.95 | 6'05 | guard | 1988 | maccabi tel aviv |\n| 7 | raviv limonad | 1.91 | 6'03 | guard | 1984 | maccabi tel aviv |\n| 8 | guy pnini | 2.01 | 6'07 | forward | 1983 | maccabi tel aviv |\n| 9 | yotam halperin | 1.96 | 6'05 | guard | 1984 | olympiacos |\n| 10 | tal burstein | 1.98 | 6'06 | guard | 1980 | maccabi tel aviv |\n| 11 | lior eliyahu | 2.07 | 6'09 | forward | 1985 | caja laboral |\n| 12 | moshe mizrahi | 2.02 | 6'08 | forward | 1980 | maccabi haifa |\n| 13 | ido kozikaro | 2.02 | 6'08 | forward | 1978 | maccabi haifa |\n| 14 | yaniv green | 2.06 | 6'09 | center | 1980 | maccabi tel aviv |" + } + ] + }, + { + "id": "table_recognition_train_item_100316", + "image": "table_instructV/images/ToTTo_train_table_1339.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Year | Title | Platform | Developer | Publisher |\n| --- | --- | --- | --- | --- |\n| 2000 | Buffy the Vampire Slayer | Game Boy Color | GameBrains | THQ |\n| 2002 | Buffy the Vampire Slayer | Xbox | The Collective | Fox Interactive |\n| 2003 | Buffy the Vampire Slayer: Wrath of the Darkhul King | Game Boy Advance | Natsume | THQ |\n| 2003 | Buffy the Vampire Slayer: Chaos Bleeds | GameCube, PlayStation 2, Xbox | Eurocom | Vivendi Universal Games Fox Interactive |\n| 2004 | Buffy the Vampire Slayer: The Quest for Oz | Mobile phones | Indiagames | Indiagames |\n| 2009 | Buffy the Vampire Slayer: Sacrifice | Nintendo DS | Beast Studios | 505 Games |" + } + ] + }, + { + "id": "table_recognition_train_item_54156", + "image": "table_instructV/images/TabFact_1-17282875-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| team 1 | points | team 2 | 1st leg | 2nd leg |\n| --- | --- | --- | --- | --- |\n| atlético mineiro | 2 - 2 (5 - 6 p ) | goiás | 1 - 1 | 1 - 1 |\n| la equidad | 1 - 4 | unión española | 2 - 2 | 0 - 1 |\n| vitória | 3 - 3 (5 - 3 p ) | coritiba | 2 - 0 | 0 - 2 |\n| universidad de chile | 6 - 0 | deportivo cali | 2 - 1 | 1 - 0 |\n| fluminense | ( a ) 2 - 2 | flamengo | 0 - 0 | 1 - 1 |\n| liverpool | 1 - 4 | cienciano | 0 - 0 | 0 - 2 |\n| river plate | 0 - 6 | lanús | 1 - 2 | 0 - 1 |\n| zamora | 0 - 6 | emelec | 0 - 1 | 1 - 2 |\n| atlético paranaense | 1 - 4 | botafogo | 0 - 0 | 2 - 3 |\n| ldu quito | 4 - 1 | libertad | 1 - 0 | 1 - 1 |\n| tigre | 3 - 3 ( a ) | san lorenzo | 2 - 1 | 0 - 1 |\n| alianza atlético | 4 - 1 | deportivo anzoátegui | 0 - 0 | 2 - 1 |\n| blooming | 0 - 6 | river plate | 0 - 3 | 1 - 2 |\n| boca juniors | 1 - 4 | vélez sársfield | 1 - 1 | 0 - 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_53052", + "image": "table_instructV/images/TabFact_2-168334-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| series number | number of episodes | original air date | dvd region 2 release date | dvd region 1 release date |\n| --- | --- | --- | --- | --- |\n| 1 | 6 | 1973 | 2 september 2002 | tba |\n| 2 | 7 | 1975 | 2 september 2002 | tba |\n| 3 | 7 | 1976 | 26 july 2004 | 11 march 2008 |\n| 4 | 7 | 1977 | 26 july 2004 | 9 september 2008 |\n| 5 | 7 | 1979 | 5 march 2007 | 6 september 2009 |\n| 6 | 7 | 1982 | 5 march 2007 | 27 april 2010 |\n| 7 | 6 | 1983 | 3 march 2008 | 27 april 2010 |\n| 8 | 6 | 1985 | 3 march 2008 | 9 july 2010 |\n| 9 | 12 | 1987 | 5 may 2008 | 18 january 2011 |\n| 10 | 6 | 1988 | 22 september 2008 | 12 april 2011 |\n| 11 | 7 | 1989 | 22 september 2008 | 12 april 2011 |\n| 12 | 10 | 1990 | 26 december 2008 | 12 july 2011 |\n| 13 | 6 | 1991 | 26 december 2008 | 21 february 2012 |\n| 14 | 9 | 1992 | 26 october 2009 | 17 april 2012 |\n| 15 | 9 | 1993 | 26 october 2009 | 24 july 2012 |\n| 16 | 8 | 1995 | 27 december 2010 | tba |\n| 17 | 10 | 1995 | 27 december 2010 | 15 june 2004 |\n| 18 | 10 | 1997 | 7 february 2011 | 15 january 2013 |\n| 19 | 10 | 1998 | 7 february 2011 | 16 april 2013 |\n| 20 | 10 | 1999 | 26 march 2012 | 9 july 2013 |\n| 21 | 10 | 2000 | 26 march 2012 | 15 october 2013 |\n| 22 | 10 | 2001 | 23 april 2012 | 14 january 2014 |\n| 23 | 10 | 2002 | 23 april 2012 | tba |\n| 24 | 10 | 2003 | tba | tba |\n| 25 | 10 | 2004 | tba | tba |\n| 26 | 10 | 2005 | tba | tba |\n| 27 | 9 | 2006 | tba | tba |\n| 28 | 10 | 2007 | tba | tba |\n| 29 | 11 | 2008 | tba | tba |\n| 30 | 10 | 2009 | tba | tba |\n| 31 | 6 | 2010 | tba | tba |" + } + ] + }, + { + "id": "table_recognition_train_item_35327", + "image": "table_instructV/images/TABMWP_29909.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of toy bins | Number of red blocks |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_111749", + "image": "table_instructV/images/Rotowire_train_table_217.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Jazz | Utah | 111 | 26 | 28 | 29 | 28 | 22 | 51 | 15 | 54 | 61 | 44 | 27 | 27 | | | | |\n| Celtics | Boston | 93 | 24 | 25 | 23 | 21 | 18 | 34 | 7 | 37 | 72 | 28 | 32 | 24 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Jazz | | | | | | | | | | | | | | | | | | |\n| Derrick Favors | 33 | 23 | 10 | 6 | 9-14 | 64% | 0-0 | 0% | 5-5 | 100% | 0 | 2 | 3 | 1 | 9 | 4 | F | Utah |\n| Gordon Hayward | 36 | 22 | 3 | 4 | 6-16 | 38% | 1-6 | 17% | 9-15 | 60% | 1 | 2 | 0 | 0 | 3 | 1 | F | Utah |\n| Raul Neto | 29 | 15 | 3 | 4 | 5-5 | 100% | 2-2 | 100% | 3-4 | 75% | 2 | 1 | 0 | 0 | 3 | 4 | G | Utah |\n| Rudy Gobert | 33 | 11 | 15 | 2 | 4-5 | 80% | 0-0 | 0% | 3-8 | 38% | 0 | 5 | 4 | 3 | 12 | 2 | C | Utah |\n| Rodney Hood | 29 | 11 | 3 | 1 | 2-6 | 33% | 2-4 | 50% | 5-6 | 83% | 1 | 0 | 1 | 0 | 3 | 3 | G | Utah |\n| Trey Burke | 17 | 8 | 0 | 2 | 3-9 | 33% | 2-6 | 33% | 0-0 | 0% | 0 | 4 | 0 | 0 | 0 | 4 | N/A | Utah |\n| Chris Johnson | 22 | 8 | 6 | 1 | 3-4 | 75% | 2-3 | 67% | 0-0 | 0% | 0 | 1 | 0 | 1 | 5 | 2 | N/A | Utah |\n| Trevor Booker | 20 | 7 | 8 | 1 | 3-5 | 60% | 0-0 | 0% | 1-4 | 25% | 0 | 0 | 0 | 2 | 6 | 3 | N/A | Utah |\n| Joe Ingles | 11 | 4 | 1 | 0 | 1-2 | 50% | 1-2 | 50% | 1-2 | 50% | 0 | 0 | 0 | 1 | 0 | 2 | N/A | Utah |\n| Trey Lyles | 8 | 2 | 2 | 1 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Utah |\n| Jeff Withey | 2 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Utah |\n| Tibor Pleiss | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Isaiah Thomas | 32 | 25 | 2 | 6 | 7-19 | 37% | 2-6 | 33% | 9-10 | 90% | 1 | 0 | 0 | 1 | 1 | 2 | G | Boston |\n| Jae Crowder | 35 | 17 | 4 | 2 | 6-11 | 55% | 1-3 | 33% | 4-4 | 100% | 0 | 0 | 0 | 0 | 4 | 6 | F | Boston |\n| Avery Bradley | 34 | 12 | 4 | 2 | 5-12 | 42% | 2-6 | 33% | 0-0 | 0% | 1 | 2 | 0 | 1 | 3 | 2 | G | Boston |\n| Evan Turner | 25 | 10 | 1 | 1 | 3-6 | 50% | 1-1 | 100% | 3-6 | 50% | 0 | 0 | 0 | 0 | 1 | 4 | N/A | Boston |\n| Jared Sullinger | 29 | 9 | 11 | 2 | 4-13 | 31% | 0-2 | 0% | 1-2 | 50% | 2 | 2 | 1 | 2 | 9 | 1 | C | Boston |\n| Marcus Smart | 22 | 8 | 3 | 3 | 1-5 | 20% | 1-3 | 33% | 5-8 | 63% | 2 | 0 | 0 | 0 | 3 | 5 | N/A | Boston |\n| Tyler Zeller | 18 | 4 | 6 | 0 | 1-3 | 33% | 0-0 | 0% | 2-4 | 50% | 0 | 1 | 0 | 3 | 3 | 4 | N/A | Boston |\n| Jonas Jerebko | 16 | 4 | 2 | 0 | 1-5 | 20% | 0-2 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 2 | 3 | N/A | Boston |\n| Amir Johnson | 17 | 2 | 1 | 0 | 1-4 | 25% | 0-1 | 0% | 0-0 | 0% | 2 | 1 | 0 | 1 | 0 | 3 | F | Boston |\n| Jordan Mickey | 3 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 2 | 0 | 0 | 0 | N/A | Boston |\n| Terry Rozier | 3 | 0 | 0 | 2 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Boston |\n| James Young | 3 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Boston |\n| RJ Hunter | 3 | 0 | 0 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Boston |" + } + ] + }, + { + "id": "table_recognition_train_item_113527", + "image": "table_instructV/images/Rotowire_train_table_1106.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Rockets | Houston | 101 | 14 | 27 | 37 | 23 | 25 | 41 | 13 | 43 | 71 | 31 | 27 | 9 | | | | |\n| Wizards | Washington | 91 | 29 | 24 | 17 | 21 | 23 | 45 | 17 | 44 | 75 | 23 | 16 | 17 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Rockets | | | | | | | | | | | | | | | | | | |\n| Eric Gordon | 36 | 31 | 2 | 3 | 11-18 | 61% | 6-12 | 50% | 3-4 | 75% | 0 | 3 | 1 | 0 | 2 | 4 | N/A | Houston |\n| James Harden | 42 | 23 | 10 | 10 | 6-24 | 25% | 2-11 | 18% | 9-10 | 90% | 3 | 6 | 0 | 1 | 9 | 1 | G | Houston |\n| Montrezl Harrell | 33 | 14 | 9 | 1 | 6-11 | 55% | 0-0 | 0% | 2-3 | 67% | 0 | 2 | 2 | 3 | 6 | 1 | C | Houston |\n| Trevor Ariza | 44 | 10 | 6 | 5 | 4-10 | 40% | 2-6 | 33% | 0-0 | 0% | 3 | 0 | 2 | 0 | 6 | 1 | F | Houston |\n| Nene | 14 | 9 | 3 | 1 | 4-6 | 67% | 0-0 | 0% | 1-4 | 25% | 1 | 0 | 1 | 1 | 2 | 0 | N/A | Houston |\n| Ryan Anderson | 32 | 8 | 4 | 2 | 3-7 | 43% | 2-5 | 40% | 0-0 | 0% | 1 | 1 | 1 | 1 | 3 | 3 | F | Houston |\n| Corey Brewer | 16 | 4 | 1 | 2 | 2-4 | 50% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 1 | G | Houston |\n| Tyler Ennis | 6 | 2 | 0 | 1 | 1-4 | 25% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Houston |\n| Sam Dekker | 17 | 0 | 6 | 0 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 1 | 0 | 2 | 1 | 5 | 1 | N/A | Houston |\n| KJ McDaniels | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Kyle Wiltjer | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Patrick Beverley | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Bobby Brown | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| Bradley Beal | 35 | 27 | 3 | 2 | 9-18 | 50% | 5-10 | 50% | 4-4 | 100% | 2 | 3 | 0 | 0 | 3 | 0 | G | Washington |\n| John Wall | 37 | 18 | 5 | 12 | 8-18 | 44% | 0-2 | 0% | 2-3 | 67% | 2 | 5 | 0 | 1 | 4 | 2 | G | Washington |\n| Marcin Gortat | 40 | 13 | 14 | 3 | 6-10 | 60% | 0-0 | 0% | 1-2 | 50% | 1 | 4 | 0 | 4 | 10 | 2 | C | Washington |\n| Markieff Morris | 33 | 12 | 8 | 3 | 5-11 | 46% | 0-4 | 0% | 2-3 | 67% | 0 | 2 | 1 | 1 | 7 | 5 | F | Washington |\n| Otto Porter Jr. | 33 | 8 | 3 | 1 | 4-12 | 33% | 0-5 | 0% | 0-0 | 0% | 1 | 0 | 1 | 0 | 3 | 3 | F | Washington |\n| Marcus Thornton | 18 | 7 | 3 | 0 | 3-8 | 38% | 1-3 | 33% | 0-0 | 0% | 1 | 1 | 0 | 0 | 3 | 2 | N/A | Washington |\n| Jason Smith | 9 | 4 | 2 | 0 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 2 | N/A | Washington |\n| Trey Burke | 11 | 2 | 0 | 2 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 2 | N/A | Washington |\n| Kelly Oubre Jr. | 23 | 0 | 7 | 0 | 0-4 | 0% | 0-1 | 0% | 0-0 | 0% | 2 | 0 | 0 | 1 | 6 | 3 | N/A | Washington |\n| Sheldon McClellan | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Daniel Ochefu | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Andrew Nicholson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Tomas Satoransky | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |" + } + ] + }, + { + "id": "table_recognition_train_item_60004", + "image": "table_instructV/images/TabFact_2-12108-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| region | capital | area (km square) | area (sq mi) | population | gdp ( bn ) |\n| --- | --- | --- | --- | --- | --- |\n| attica | athens | 3808 | 1470 | 3812330 | 103.334 |\n| central greece | lamia | 15549 | 6004 | 546870 | 12.530 |\n| central macedonia | thessaloniki | 18811 | 7263 | 1874590 | 34.458 |\n| crete | heraklion | 8259 | 3189 | 621340 | 12.854 |\n| east macedonia and thrace | komotini | 14157 | 5466 | 606170 | 9.054 |\n| epirus | ioannina | 9203 | 3553 | 336650 | 5.827 |\n| ionian islands | corfu | 2307 | 891 | 206470 | 4.464 |\n| north aegean | mytilene | 3836 | 1481 | 197810 | 3.579 |\n| peloponnese | tripoli | 15490 | 5981 | 581980 | 11.230 |\n| south aegean | ermoupoli | 5286 | 2041 | 308610 | 7.816 |\n| thessaly | larissa | 14037 | 5420 | 730730 | 12.905 |\n| west greece | patras | 11350 | 4382 | 680190 | 12.122 |\n| west macedonia | kozani | 9451 | 3649 | 282120 | 5.564 |\n| autonomous state | capital | area (km square) | area (sq mi) | population | gdp ( bn ) |\n| mount athos | karyes | 390 | 151 | 1830 | n / a |" + } + ] + }, + { + "id": "table_recognition_train_item_51870", + "image": "table_instructV/images/TAT-QA_af0b5c0a-2030-4ab6-8514-146af90a5581.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| | 2019 | 2018 | 2017 |\n| --- | --- | --- | --- |\n| Weighted-average fair value ($) | 68.05 | 57.75 | 40.87 |\n| Risk-free interest rate (%) | 2.37 | 2.65 | 2.03 |\n| Average expected option life (years) | 5.42 | 5.32 | 5.26 |\n| Expected volatility (%) | 19.22 | 18.05 | 18.74 |\n| Expected dividend yield (%) | 0.58 | 0.59 | 0.67 |" + } + ] + }, + { + "id": "table_recognition_train_item_51418", + "image": "table_instructV/images/TAT-QA_4d1d4b71-8f31-49b5-aad1-731f42783898.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| | € million | € million |\n| --- | --- | --- |\n| | 2019 | 2018 |\n| | | (Restated)(a) |\n| Operating profit | 8,708 | 12,639 |\n| Depreciation, amortisation and impairment | 1,982 | 2,216 |\n| Changes in working capital | (9) | (793) |\n| Pensions and similar obligations less Payments | (260) | (128) |\n| Provision less payments | 7 | 55 |\n| Elimination of (profits)/losses on disposals | 60 | (4,313) |\n| Non-cash charge for share-based compensation | 151 | 196 |\n| Other adjustments | 2 | (260) |\n| Cash flow from operating activities | 10,641 | 9,612 |\n| Income tax paid | (2,532) | (2,294) |\n| Net capital expenditure | (1,429) | (1,424) |\n| Net interest and preference dividends paid | (548) | (461) |\n| Free cash flow* | 6,132 | 5,433 |\n| Net cash flow (used in)/from investing activities | (2,237) | 4,644 |\n| Net cash flow (used in)/from financing activities | (4,667) | (12,113) |" + } + ] + }, + { + "id": "table_recognition_train_item_31628", + "image": "table_instructV/images/TABMWP_9512.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| Date | Description | Received | Expenses | Available Funds |\n| --- | --- | --- | --- | --- |\n| | Balance: end of April | | | $204.10 |\n| 5/3 | sneakers | | $21.55 | $182.55 |\n| 5/6 | smoothie | | $4.80 | $177.75 |\n| 5/18 | yard work | $20.00 | | $197.75 |" + } + ] + }, + { + "id": "table_recognition_train_item_67314", + "image": "table_instructV/images/TabFact_1-18600760-15.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| township | county | pop (2010) | land ( sqmi ) | water (sqmi) | latitude | longitude | geo id | ansi code |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| oak creek | bottineau | 24 | 35.445 | 0.000 | 48.675399 | - 100.471642 | 3800958700 | 1759286 |\n| oak valley | bottineau | 52 | 36.016 | 0.087 | 48.777318 | - 100.511814 | 3800958860 | 1759287 |\n| oakhill | barnes | 51 | 35.414 | 0.081 | 46.679076 | - 98.017963 | 3800358780 | 1036402 |\n| oakland | mountrail | 26 | 35.167 | 0.785 | 48.157497 | - 102.109269 | 3806158820 | 1036997 |\n| oakville | grand forks | 200 | 35.059 | 0.047 | 47.883391 | - 97.305536 | 3803558900 | 1036604 |\n| oakwood | walsh | 228 | 33.526 | 0.000 | 48.412107 | - 97.339101 | 3809958980 | 1036534 |\n| oberon | benson | 67 | 57.388 | 0.522 | 47.925443 | - 99.244476 | 3800559060 | 2397849 |\n| odessa | hettinger | 16 | 35.766 | 0.060 | 46.583226 | - 102.104455 | 3804159100 | 1759459 |\n| odessa | ramsey | 49 | 37.897 | 8.314 | 47.968754 | - 98.587529 | 3807159140 | 1759587 |\n| odin | mchenry | 46 | 34.424 | 1.722 | 47.986751 | - 100.637016 | 3804959180 | 1759507 |\n| oliver | williams | 8 | 35.987 | 0.024 | 48.423293 | - 103.320183 | 3810559260 | 1037033 |\n| olivia | mchenry | 40 | 35.874 | 0.035 | 47.900358 | - 100.769959 | 3804959300 | 1759508 |\n| olson | towner | 19 | 35.033 | 0.954 | 48.505811 | - 99.287008 | 3809559380 | 1759659 |\n| ontario | ramsey | 72 | 33.923 | 1.990 | 48.163172 | - 98.601321 | 3807159460 | 1759588 |\n| ops | walsh | 63 | 36.015 | 0.000 | 48.238231 | - 97.578927 | 3809959540 | 1036518 |\n| ora | nelson | 69 | 34.414 | 0.697 | 47.722982 | - 97.946877 | 3806359580 | 1036557 |\n| orange | adams | 22 | 35.802 | 0.133 | 46.012558 | - 102.053893 | 3800159620 | 1037214 |\n| oriska | barnes | 65 | 35.082 | 0.087 | 46.935397 | - 97.752733 | 3800359700 | 1036418 |\n| orlien | ward | 47 | 35.645 | 0.720 | 47.985154 | - 101.796936 | 3810159740 | 1036954 |\n| orthell | williams | 12 | 35.894 | 0.034 | 48.495353 | - 103.728983 | 3810559860 | 1759732 |\n| osago | nelson | 31 | 35.400 | 0.198 | 47.800898 | - 98.328474 | 3806359900 | 1036565 |\n| osborn | mountrail | 285 | 30.296 | 4.988 | 47.987208 | - 102.429987 | 3806159940 | 1034001 |\n| osford | cavalier | 47 | 35.803 | 0.052 | 48.585234 | - 98.115821 | 3801959980 | 1759377 |\n| oshkosh | wells | 56 | 34.747 | 0.065 | 47.623026 | - 99.576942 | 3810360020 | 1759708 |\n| osloe | mountrail | 41 | 35.077 | 0.903 | 48.146259 | - 101.976499 | 3806160060 | 1036937 |\n| osnabrock | cavalier | 36 | 35.505 | 0.439 | 48.594234 | - 98.241946 | 3801960140 | 2397851 |\n| ostby | bottineau | 45 | 35.452 | 0.027 | 48.581052 | - 100.352948 | 3800960180 | 1759288 |\n| otis | mclean | 41 | 35.152 | 0.656 | 47.799001 | - 100.896513 | 3805560260 | 1759541 |\n| overland | ramsey | 14 | 35.602 | 0.400 | 48.406215 | - 98.644574 | 3807160340 | 1759589 |\n| ovid | lamoure | 46 | 35.328 | 0.505 | 46.318992 | - 98.107769 | 3804560420 | 1036886 |" + } + ] + }, + { + "id": "table_recognition_train_item_35547", + "image": "table_instructV/images/TABMWP_37173.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of shelves | Number of pairs of jeans |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_65652", + "image": "table_instructV/images/TabFact_2-13913666-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| game | april | opponent | score | record | points |\n| --- | --- | --- | --- | --- | --- |\n| 76 | 1 | los angeles kings | 1 - 3 | 28 - 37 - 11 | 67 |\n| 77 | 3 | tampa bay lightning | 6 - 2 | 29 - 37 - 11 | 69 |\n| 78 | 4 | toronto maple leafs | 4 - 0 | 30 - 37 - 11 | 71 |\n| 79 | 6 | winnipeg jets | 4 - 2 | 31 - 37 - 11 | 73 |\n| 80 | 8 | washington capitals | 4 - 3 | 32 - 37 - 11 | 75 |\n| 81 | 10 | toronto maple leafs | 4 - 0 | 33 - 37 - 11 | 77 |\n| 82 | 12 | new york rangers | 1 - 0 | 34 - 37 - 11 | 79 |\n| 83 | 15 | buffalo sabres | 7 - 4 | 35 - 37 - 11 | 81 |\n| 84 | 16 | hartford whalers | 5 - 4 ot | 36 - 37 - 11 | 83 |" + } + ] + }, + { + "id": "table_recognition_train_item_33260", + "image": "table_instructV/images/TABMWP_27585.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $630 | 4,000 | 1,100 |\n| $680 | 3,500 | 4,800 |\n| $730 | 3,000 | 8,500 |\n| $780 | 2,500 | 12,200 |\n| $830 | 2,000 | 15,900 |" + } + ] + }, + { + "id": "table_recognition_train_item_32453", + "image": "table_instructV/images/TABMWP_18120.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 16 | 8 |\n| 17 | 13 |\n| 18 | 17 |" + } + ] + }, + { + "id": "table_recognition_train_item_115403", + "image": "table_instructV/images/Rotowire_train_table_2044.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hornets | Charlotte | 112 | 28 | 32 | 21 | 31 | 26 | 46 | 13 | 48 | 91 | 47 | 23 | 21 | | | | |\n| Nets | Brooklyn | 105 | 14 | 32 | 35 | 24 | 30 | 40 | 12 | 43 | 80 | 42 | 9 | 34 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Ramon Sessions | 19 | 17 | 2 | 2 | 3-8 | 38% | 3-4 | 75% | 8-8 | 100% | 0 | 1 | 0 | 0 | 2 | 0 | N/A | Charlotte |\n| Michael Kidd-Gilchrist | 35 | 17 | 14 | 1 | 7-11 | 64% | 0-0 | 0% | 3-4 | 75% | 0 | 2 | 2 | 6 | 8 | 3 | F | Charlotte |\n| Kemba Walker | 33 | 16 | 4 | 6 | 6-17 | 35% | 2-6 | 33% | 2-3 | 67% | 0 | 4 | 0 | 0 | 4 | 1 | G | Charlotte |\n| Nicolas Batum | 35 | 16 | 9 | 6 | 6-16 | 38% | 3-6 | 50% | 1-1 | 100% | 4 | 2 | 0 | 0 | 9 | 2 | G | Charlotte |\n| Marco Belinelli | 22 | 14 | 1 | 5 | 5-10 | 50% | 2-6 | 33% | 2-2 | 100% | 0 | 0 | 0 | 0 | 1 | 3 | N/A | Charlotte |\n| Cody Zeller | 31 | 12 | 9 | 3 | 5-7 | 71% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 1 | 0 | 9 | 1 | C | Charlotte |\n| Frank Kaminsky | 25 | 10 | 1 | 2 | 4-5 | 80% | 2-2 | 100% | 0-0 | 0% | 3 | 2 | 0 | 0 | 1 | 4 | N/A | Charlotte |\n| Marvin Williams | 26 | 8 | 6 | 1 | 2-6 | 33% | 2-6 | 33% | 2-2 | 100% | 0 | 2 | 1 | 0 | 6 | 3 | F | Charlotte |\n| Roy Hibbert | 14 | 2 | 0 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Charlotte |\n| Brian Roberts | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Christian Wood | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Treveon Graham | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Spencer Hawes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Nets | | | | | | | | | | | | | | | | | | |\n| Brook Lopez | 31 | 24 | 5 | 4 | 10-21 | 48% | 3-7 | 43% | 1-1 | 100% | 0 | 2 | 2 | 0 | 5 | 3 | C | Brooklyn |\n| Bojan Bogdanovic | 28 | 16 | 3 | 3 | 4-12 | 33% | 4-8 | 50% | 4-4 | 100% | 0 | 2 | 0 | 0 | 3 | 0 | F | Brooklyn |\n| Quincy Acy | 17 | 14 | 4 | 1 | 5-7 | 71% | 3-4 | 75% | 1-1 | 100% | 2 | 0 | 1 | 0 | 4 | 2 | N/A | Brooklyn |\n| Sean Kilpatrick | 27 | 13 | 4 | 5 | 5-14 | 36% | 3-7 | 43% | 0-0 | 0% | 2 | 2 | 0 | 0 | 4 | 2 | G | Brooklyn |\n| Randy Foye | 24 | 11 | 2 | 5 | 4-12 | 33% | 3-7 | 43% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Brooklyn |\n| Caris LeVert | 18 | 9 | 1 | 4 | 2-4 | 50% | 0-2 | 0% | 5-6 | 83% | 2 | 1 | 0 | 0 | 1 | 0 | N/A | Brooklyn |\n| Trevor Booker | 27 | 8 | 9 | 0 | 4-6 | 67% | 0-1 | 0% | 0-0 | 0% | 2 | 3 | 0 | 3 | 6 | 1 | F | Brooklyn |\n| Rondae Hollis-Jefferson | 21 | 7 | 3 | 2 | 3-6 | 50% | 0-3 | 0% | 1-3 | 33% | 1 | 2 | 0 | 0 | 3 | 1 | N/A | Brooklyn |\n| Isaiah Whitehead | 23 | 3 | 4 | 4 | 1-2 | 50% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 4 | 3 | N/A | Brooklyn |\n| Spencer Dinwiddie | 23 | 0 | 5 | 2 | 0-4 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 4 | 3 | G | Brooklyn |\n| Joe Harris | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |\n| Justin Hamilton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |\n| Luis Scola | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |" + } + ] + }, + { + "id": "table_recognition_train_item_53098", + "image": "table_instructV/images/TabFact_1-23696862-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| name | starting chip count | wsop bracelets | wsop cashes | wsop earnings | final place | prize |\n| --- | --- | --- | --- | --- | --- | --- |\n| jesse sylvia | 43875000 | 0 | 2 | 36372 | 2nd | 5295149 |\n| andras koroknai | 29375000 | 0 | 2 | 39371 | 6th | 1640461 |\n| greg merson | 28725000 | 1 | 5 | 1253501 | 1st | 8531853 |\n| russell thomas | 24800000 | 0 | 3 | 126796 | 4th | 2850494 |\n| steven gee | 16860000 | 1 | 4 | 480822 | 9th | 754798 |\n| michael esposito | 16260000 | 0 | 3 | 27311 | 7th | 1257790 |\n| robert salaburu | 15155000 | 0 | 0 | 0 | 8th | 971252 |\n| jacob balsiger | 13115000 | 0 | 1 | 3531 | 3rd | 3797558 |" + } + ] + }, + { + "id": "table_recognition_train_item_115287", + "image": "table_instructV/images/Rotowire_train_table_1986.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bulls | Chicago | 91 | 24 | 26 | 21 | 20 | 22 | 45 | 5 | 37 | 80 | 39 | 32 | 36 | | | | |\n| Grizzlies | Memphis | 98 | 24 | 30 | 20 | 24 | 26 | 52 | 11 | 42 | 83 | 36 | 38 | 30 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Rajon Rondo | 35 | 17 | 6 | 8 | 7-16 | 44% | 3-4 | 75% | 0-0 | 0% | 2 | 0 | 0 | 3 | 3 | 4 | G | Chicago |\n| Jimmy Butler | 40 | 14 | 7 | 1 | 4-16 | 25% | 0-3 | 0% | 6-8 | 75% | 0 | 1 | 2 | 3 | 4 | 0 | F | Chicago |\n| Nikola Mirotic | 28 | 14 | 5 | 2 | 3-10 | 30% | 3-8 | 38% | 5-5 | 100% | 0 | 2 | 2 | 2 | 3 | 4 | N/A | Chicago |\n| Denzel Valentine | 28 | 11 | 7 | 3 | 4-10 | 40% | 3-7 | 43% | 0-0 | 0% | 1 | 0 | 0 | 0 | 7 | 1 | N/A | Chicago |\n| Bobby Portis | 20 | 8 | 7 | 0 | 4-9 | 44% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 1 | 3 | 4 | 3 | F | Chicago |\n| Dwyane Wade | 23 | 8 | 3 | 4 | 3-11 | 27% | 1-2 | 50% | 1-2 | 50% | 0 | 2 | 0 | 0 | 3 | 0 | G | Chicago |\n| Robin Lopez | 24 | 8 | 3 | 0 | 4-7 | 57% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 2 | 3 | C | Chicago |\n| Michael Carter-Williams | 13 | 7 | 2 | 1 | 3-8 | 38% | 1-1 | 100% | 0-0 | 0% | 2 | 0 | 1 | 1 | 1 | 3 | N/A | Chicago |\n| Paul Zipser | 6 | 2 | 3 | 1 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 0 | N/A | Chicago |\n| Cristiano Felicio | 24 | 2 | 2 | 2 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 1 | N/A | Chicago |\n| Joffrey Lauvergne | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Isaiah Canaan | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Jerian Grant | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Grizzlies | | | | | | | | | | | | | | | | | | |\n| Marc Gasol | 37 | 27 | 6 | 7 | 10-21 | 48% | 3-6 | 50% | 4-5 | 80% | 0 | 0 | 1 | 0 | 6 | 1 | C | Memphis |\n| Mike Conley | 36 | 27 | 9 | 7 | 8-12 | 67% | 5-8 | 63% | 6-6 | 100% | 1 | 4 | 0 | 0 | 9 | 3 | G | Memphis |\n| Tony Allen | 24 | 10 | 6 | 3 | 4-10 | 40% | 0-1 | 0% | 2-2 | 100% | 0 | 0 | 0 | 3 | 3 | 2 | G | Memphis |\n| Zach Randolph | 25 | 8 | 9 | 3 | 4-14 | 29% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 4 | 5 | 1 | N/A | Memphis |\n| Vince Carter | 29 | 7 | 3 | 2 | 3-7 | 43% | 1-4 | 25% | 0-0 | 0% | 0 | 1 | 1 | 1 | 2 | 1 | F | Memphis |\n| Troy Daniels | 19 | 6 | 3 | 0 | 2-8 | 25% | 2-7 | 29% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 0 | N/A | Memphis |\n| James Ennis III | 24 | 5 | 4 | 1 | 1-3 | 33% | 0-2 | 0% | 3-4 | 75% | 0 | 1 | 0 | 1 | 3 | 3 | N/A | Memphis |\n| JaMychal Green | 23 | 4 | 7 | 1 | 2-5 | 40% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 1 | 1 | 6 | 1 | F | Memphis |\n| Brandan Wright | 11 | 4 | 4 | 0 | 2-3 | 67% | 0-0 | 0% | 0-1 | 0% | 0 | 1 | 0 | 2 | 2 | 3 | N/A | Memphis |\n| Andrew Harrison | 11 | 0 | 1 | 2 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 3 | 0 | 1 | 0 | 4 | N/A | Memphis |\n| Chandler Parsons | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Toney Douglas | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |" + } + ] + }, + { + "id": "table_recognition_train_item_59724", + "image": "table_instructV/images/TabFact_1-25643046-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| date | origin time | epicentre (lat , s) | epicentre (long , e) | local magnitude | location |\n| --- | --- | --- | --- | --- | --- |\n| 8 february 1920 | 05:24 | 35.00 | 111.00 | 6.2 | 260 km south west of cape leeuwin |\n| 18 december 1940 | 21:45 | 32.20 | 117.20 | 4.2 | beverley , brookton |\n| 19 april 1946 | 21:13 | 38.5 | 114.5 | 5.7 | west of yallingup |\n| 17 september 1946 | 15:12 | 32.5 | 116.9 | 4.5 | pingelly |\n| 2 may 1949 | 10:00 | 30.90 | 116.40 | 5.1 | yerecoin |\n| 7 may 1949 | 17:09 | 30.90 | 116.40 | 4.1 | yerecoin |\n| 11 march 1952 | 06:09 | 31.30 | 116.50 | 5.1 | bolgart |\n| 27 november 1954 | 08:36 | 32.00 | 116.7 | 3.9 | talbot brook |\n| 29 april 1955 | 09:14 | 30.90 | 116.40 | 4.7 | yerecoin |\n| 29 april 1955 | 19:49 | 30.90 | 116.40 | 4.4 | yerecoin |\n| 29 august 1955 | 06:09 | 30.70 | 116.40 | 5.3 | gabalong |\n| 30 august 1955 | 13:52 | 30.70 | 116.40 | 5.8 | gabalong |\n| 30 august 1955 | 14:07 | 30.70 | 116.40 | 4.7 | gabalong |\n| 30 august 1955 | 16:46 | 30.70 | 116.40 | 4.6 | gabalong |\n| 24 february 1956 | 06:27 | 30.9 | 116.4 | 4.5 | yerecoin |\n| 5 april 1956 | 23:13 | 30.9 | 116.4 | 4.5 | yerecoin |\n| 20 march 1958 | 03:03 | 32.20 | 117.20 | 4.8 | beverley , brookton |\n| 3 october 1959 | 12:07:22.0 | 34.50 | 114.50 | 4.2 | 55 km sw cape leeuwin |" + } + ] + }, + { + "id": "table_recognition_train_item_35383", + "image": "table_instructV/images/TABMWP_32109.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 7 | 3 |\n| 8 | 5 |\n| 9 | 13 |" + } + ] + }, + { + "id": "table_recognition_train_item_65586", + "image": "table_instructV/images/TabFact_1-14847258-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| series | title | directed by | written by | original air date | production code | us viewers (millions) |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | pilot | david nutter | hank steinberg | september 26 , 2002 | 475182 | 16.21 |\n| 2 | birthday boy | david nutter | hank steinberg | october 3 , 2002 | 175651 | 14.53 |\n| 3 | he saw , she saw | rachel talalay | jan nash | october 10 , 2002 | 175653 | 15.94 |\n| 4 | between the cracks | steve gomer | ed redlich | october 17 , 2002 | 176554 | 14.84 |\n| 5 | suspect | peter markle | allison abner | october 24 , 2002 | 175657 | 15.75 |\n| 6 | silent partner | randall zisk | greg walker | october 31 , 2002 | 175655 | 15.50 |\n| 7 | snatch back | leslie libman | stacy rukeyser | november 7 , 2002 | 175656 | 14.57 |\n| 8 | little big man | paul holahan | jacob epstein | november 14 , 2002 | 175658 | 15.41 |\n| 9 | in extremis | peter markle | francisco castro | november 21 , 2002 | 175659 | 13.94 |\n| 10 | midnight sun | michelle maclaren | hank steinberg | december 12 , 2002 | 175652 | 14.83 |\n| 11 | maple street | john mcnaughton | maria maggenti | january 9 , 2003 | 175660 | 16.34 |\n| 12 | underground railroad | tom mcloughlin | hank steinberg | january 16 , 2003 | 175662 | 17.51 |\n| 13 | hang on to me | paul holahan | ed redlich | january 30 , 2003 | 175661 | 16.59 |\n| 14 | the friendly skies | paul holahan | hank steinberg | february 6 , 2003 | 175663 | 15.03 |\n| 15 | there goes the bride | deran sarafian | steven kane | february 20 , 2003 | 175665 | 17.54 |\n| 16 | clare de lune | mel damski | allison abner | february 27 , 2003 | 175664 | 18.80 |\n| 17 | kam li | randall zisk | jacob epstein | march 13 , 2003 | 175666 | 15.38 |\n| 18 | the source | peter markle | jan nash , greg walker | april 3 , 2003 | 175667 | 13.78 |\n| 19 | victory for humanity | charlie correll | hank steinberg | april 10 , 2003 | 175668 | 17.54 |\n| 20 | no mas | paul holahan | greg walker | april 24 , 2003 | 175669 | 14.02 |\n| 21 | are you now or have you ever been | peter markle | harry litman , ed redlich | may 1 , 2003 | 175672 | 12.64 |\n| 22 | fall out , part 1 | kevin hooks and paul holohan | hank steinberg | may 8 , 2003 | 175670 | 14.92 |" + } + ] + }, + { + "id": "table_recognition_train_item_32504", + "image": "table_instructV/images/TABMWP_18705.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Number of restaurants | Number of dishwashers |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_68930", + "image": "table_instructV/images/TabFact_2-15696653-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| draw | song | performer | points | rank |\n| --- | --- | --- | --- | --- |\n| 1 | millennium of love | eamonn toal | 76 | 1st |\n| 2 | why did you have to go | karl power | 30 | 8th |\n| 3 | all in a lifetime | liz fletcher | 48 | 4th |\n| 4 | when you are near | shimma | 55 | 3rd |\n| 5 | shine | lisa stanley | 34 | 6th |\n| 6 | journey to the center of your heart | gavin mccormack | 31 | 7th |\n| 7 | feel good emotion | audrey lynch | 47 | 5th |\n| 8 | crossroads | john hurley | 64 | 2nd |" + } + ] + }, + { + "id": "table_recognition_train_item_113415", + "image": "table_instructV/images/Rotowire_train_table_1050.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bucks | Milwaukee | 96 | 24 | 17 | 25 | 30 | 23 | 46 | 8 | 42 | 75 | 19 | 0 | 1 | | | | |\n| Hornets | Charlotte | 107 | 32 | 24 | 27 | 24 | 27 | 51 | 10 | 45 | 83 | 30 | 1 | 0 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Bucks | | | | | | | | | | | | | | | | | | |\n| Giannis Antetokounmpo | 39 | 31 | 9 | 5 | 13-21 | 62% | 1-2 | 50% | 4-6 | 67% | 1 | 1 | 1 | 1 | 8 | 5 | G | Milwaukee |\n| Greg Monroe | 29 | 14 | 10 | 3 | 5-13 | 39% | 0-0 | 0% | 4-5 | 80% | 1 | 1 | 3 | 5 | 5 | 0 | N/A | Milwaukee |\n| Jabari Parker | 30 | 13 | 6 | 3 | 4-9 | 44% | 1-1 | 100% | 4-4 | 100% | 0 | 3 | 0 | 2 | 4 | 3 | F | Milwaukee |\n| Matthew Dellavedova | 29 | 11 | 3 | 3 | 5-10 | 50% | 1-3 | 33% | 0-0 | 0% | 0 | 2 | 0 | 0 | 3 | 3 | G | Milwaukee |\n| Malcolm Brogdon | 21 | 8 | 6 | 5 | 3-9 | 33% | 0-3 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 6 | 2 | N/A | Milwaukee |\n| Mirza Teletovic | 27 | 6 | 2 | 1 | 3-12 | 25% | 0-5 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 1 | F | Milwaukee |\n| Jason Terry | 18 | 5 | 2 | 1 | 2-4 | 50% | 0-1 | 0% | 1-1 | 100% | 0 | 0 | 0 | 0 | 2 | 3 | N/A | Milwaukee |\n| John Henson | 10 | 4 | 4 | 0 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 3 | 2 | N/A | Milwaukee |\n| Rashad Vaughn | 8 | 2 | 1 | 0 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Milwaukee |\n| Michael Beasley | 19 | 2 | 2 | 1 | 1-5 | 20% | 0-0 | 0% | 0-2 | 0% | 1 | 0 | 0 | 1 | 1 | 1 | N/A | Milwaukee |\n| Miles Plumlee | 8 | 0 | 1 | 1 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 0 | 1 | 0 | C | Milwaukee |\n| Thon Maker | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Steve Novak | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Michael Kidd-Gilchrist | 35 | 23 | 14 | 0 | 10-18 | 56% | 0-2 | 0% | 3-3 | 100% | 1 | 0 | 1 | 4 | 10 | 1 | F | Charlotte |\n| Kemba Walker | 35 | 17 | 1 | 8 | 5-15 | 33% | 3-7 | 43% | 4-6 | 67% | 2 | 2 | 0 | 0 | 1 | 2 | G | Charlotte |\n| Roy Hibbert | 32 | 15 | 10 | 3 | 6-9 | 67% | 0-0 | 0% | 3-3 | 100% | 0 | 2 | 5 | 4 | 6 | 4 | C | Charlotte |\n| Cody Zeller | 14 | 15 | 3 | 1 | 5-6 | 83% | 0-0 | 0% | 5-6 | 83% | 0 | 1 | 2 | 1 | 2 | 5 | N/A | Charlotte |\n| Marvin Williams | 29 | 13 | 10 | 2 | 5-12 | 42% | 3-4 | 75% | 0-0 | 0% | 0 | 1 | 1 | 2 | 8 | 4 | F | Charlotte |\n| Nicolas Batum | 34 | 9 | 6 | 7 | 2-9 | 22% | 1-7 | 14% | 4-5 | 80% | 2 | 1 | 0 | 0 | 6 | 2 | G | Charlotte |\n| Marco Belinelli | 26 | 7 | 4 | 1 | 3-8 | 38% | 0-2 | 0% | 1-1 | 100% | 0 | 0 | 0 | 0 | 4 | 1 | N/A | Charlotte |\n| Spencer Hawes | 13 | 4 | 2 | 3 | 2-4 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 1 | 0 | 2 | 1 | N/A | Charlotte |\n| Ramon Sessions | 13 | 4 | 0 | 0 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Charlotte |\n| Jeremy Lamb | 9 | 0 | 1 | 2 | 0-4 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Charlotte |\n| Aaron Harrison | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Treveon Graham | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Christian Wood | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |" + } + ] + }, + { + "id": "table_recognition_train_item_66872", + "image": "table_instructV/images/TabFact_2-1057262-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| crop (kilotonnes) | new south wales | victoria | queensland | western australia | south australia | tasmania | total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| wheat | 6714 | 2173 | 1301 | 6959 | 3382 | 23 | 20552 |\n| barley | 1070 | 1173 | 202 | 1511 | 2000 | 25 | 5981 |\n| sorghum | 739 | 3 | 1140 | 3 | 0 | 0 | 1885 |\n| seed cotton | 663 | 0 | 1140 | 3 | 0 | 0 | 1806 |\n| canola | 637 | 312 | 1 | 530 | 225 | 1 | 1706 |\n| s oat | 360 | 420 | 7 | 588 | 137 | 8 | 1520 |\n| s lupin | 140 | 30 | 0 | 1050 | 103 | 0 | 1323 |\n| field s pea | 20 | 166 | 0 | 47 | 190 | 1 | 424 |\n| maize | 190 | 8 | 171 | 6 | 0 | 0 | 375 |\n| s chickpea | 86 | 20 | 56 | 29 | 5 | 0 | 196 |\n| s lentil | 2 | 68 | 0 | 2 | 56 | 0 | 128 |\n| broad beans | 42 | 68 | 1 | 0 | 14 | 0 | 125 |\n| sunflower seed | 46 | 0 | 65 | 0 | 0 | 1 | 112 |" + } + ] + }, + { + "id": "table_recognition_train_item_68504", + "image": "table_instructV/images/TabFact_2-1122079-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| driver | constructor | laps | time / retired | grid |\n| --- | --- | --- | --- | --- |\n| alberto ascari | ferrari | 90 | 2:53:35.8 | 1 |\n| nino farina | ferrari | 90 | + 10.4 | 3 |\n| felice bonetto josé froilán gonzález | maserati | 89 | + 1 lap | 13 |\n| mike hawthorn | ferrari | 89 | + 1 lap | 6 |\n| toulo de graffenried | maserati | 88 | + 2 laps | 7 |\n| maurice trintignant | gordini | 87 | + 3 laps | 12 |\n| louis rosier | ferrari | 86 | + 4 laps | 8 |\n| peter collins | hwm - alta | 84 | + 6 laps | 16 |\n| stirling moss | connaught - lea - francis | 83 | + 7 laps | 9 |\n| luigi villoresi | ferrari | 67 | throttle | 4 |\n| kenneth mcalpine | connaught - lea - francis | 63 | engine | 14 |\n| harry schell | gordini | 59 | transmission | 10 |\n| johnny claes | connaught - lea - francis | 52 | not classified | 17 |\n| juan manuel fangio | maserati | 36 | axle | 2 |\n| roberto mieres | gordini | 28 | transmission | 19 |\n| josé froilán gonzález | maserati | 22 | rear axle | 5 |\n| ken wharton | cooper - bristol | 19 | physical | 18 |\n| roy salvadori | connaught - lea - francis | 14 | engine | 11 |\n| lance macklin | hwm - alta | 7 | throttle | 15 |" + } + ] + }, + { + "id": "table_recognition_train_item_60990", + "image": "table_instructV/images/TabFact_2-14655615-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| pick | round | player | position | college |\n| --- | --- | --- | --- | --- |\n| 41 | round 2 | kenneth davis | running back | texas christian |\n| 72 | round 3 | robbie bosco | quarterback | brigham young |\n| 84 | round 4 | tim harris | defensive end | memphis state |\n| 98 | round 4 | dan knight | tackle | san diego state |\n| 125 | round 5 | matt koart | defensive tackle | usc |\n| 145 | round 6 | burnell dent | linebacker | tulane |\n| 183 | round 7 | ed berry | defensive back | utah state |\n| 210 | round 8 | micheal cline | defensive tackle | arkansas state |\n| 236 | round 9 | brent moore | defensive tackle | usc |\n| 263 | round 10 | gary spann | linebacker | texas christian |" + } + ] + }, + { + "id": "table_recognition_train_item_53532", + "image": "table_instructV/images/TabFact_1-18894744-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| game | date | opponent | score | high points | high rebounds | high assists | location / attendance | record |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4 | june 1 | charlotte | w 89 - 65 | sales (18) | dydek (15) | douglas (5) | charlotte bobcats arena 3632 | 3 - 1 |\n| 5 | june 3 | charlotte | w 89 - 71 | dydek (17) | mcwilliams - franklin (15) | sales (5) | mohegan sun arena 7318 | 4 - 1 |\n| 6 | june 7 | new york | w 75 - 60 | douglas (17) | mcwilliams - franklin (7) | sales , phillips (4) | madison square garden 10180 | 5 - 1 |\n| 7 | june 9 | seattle | w 85 - 81 | douglas (18) | dydek (12) | whalen (9) | mohegan sun arena 7138 | 6 - 1 |\n| 8 | june 13 | washington | w 85 - 71 | douglas (26) | douglas (7) | whalen , jones (4) | mohegan sun arena 6339 | 7 - 1 |\n| 9 | june 16 | phoenix | l 86 - 91 | douglas (27) | mcwilliams - franklin (17) | whalen (4) | us airways center 6378 | 7 - 2 |\n| 10 | june 17 | los angeles | l 70 - 82 | jones (16) | sales , dydek , jones (5) | whalen (5) | staples center 7991 | 7 - 3 |\n| 11 | june 20 | charlotte | w 90 - 66 | sales (15) | mcwilliams - franklin (9) | whalen (6) | charlotte bobcats arena 4243 | 8 - 3 |\n| 12 | june 22 | minnesota | w 79 - 62 | whalen , dydek (16) | jones (11) | sales (4) | mohegan sun arena 6573 | 9 - 3 |\n| 13 | june 23 | chicago | w 84 - 79 | sales (23) | mcwilliams - franklin (14) | whalen (6) | uic pavilion 2818 | 10 - 3 |\n| 14 | june 25 | washington | l 80 - 87 | mcwilliams - franklin , sales , jones (15) | mcwilliams - franklin (11) | whalen (6) | mci center 7216 | 10 - 4 |\n| 15 | june 27 | houston | w 73 - 57 | sales (19) | dydek (13) | whalen (6) | mohegan sun arena 6220 | 11 - 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_67298", + "image": "table_instructV/images/TabFact_2-17933459-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| clubs | seasons at this level | settlements | season joined league | position in 1959 - 1960 |\n| --- | --- | --- | --- | --- |\n| benfica | 27 seasons | lisbon | 1934 - 1935 | 1 |\n| sporting cp | 27 seasons | lisbon | 1934 - 1935 | 2 |\n| belenenses | 27 seasons | lisbon | 1934 - 1935 | 3 |\n| porto | 27 seasons | porto | 1934 - 1935 | 4 |\n| académica de coimbra | 26 seasons | coimbra | 1949 - 1950 | 6 |\n| vitória de guimarães | 17 seasons | guimarães | 1958 - 1959 | 7 |\n| atlético cp | 15 seasons | lisbon | 1959 - 1960 | 11 |\n| barreirense | 14 seasons | barreiro | 1960 - 1961 | segunda divisão |\n| sporting de braga | 13 seasons | braga | 1957 - 1958 | 12 |\n| sporting da covilhã | 12 seasons | covilhã | 1958 - 1959 | 9 |\n| lusitano de évora | 9 seasons | évora | 1952 - 1953 | 10 |\n| cuf barreiro | 8 seasons | barreiro | 1954 - 1955 | 5 |\n| salgueiros | 5 seasons | porto | 1960 - 1961 | segunda divisão |\n| leixões | 4 seasons | matosinhos | 1959 - 1960 | 8 |" + } + ] + }, + { + "id": "table_recognition_train_item_52570", + "image": "table_instructV/images/TabFact_2-11051845-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| ngc number | object type | constellation | right ascension ( j2000 ) | declination ( j2000 ) | apparent magnitude |\n| --- | --- | --- | --- | --- | --- |\n| 5101 | spiral galaxy | hydra | 13h21 m46.6s | degree25′53″ | 11.5 |\n| 5102 | lenticular galaxy | centaurus | 13h21 m57.8s | degree37′47″ | 10.4 |\n| 5112 | spiral galaxy | canes venatici | 13h21 m56.7s | degree44′07″ | 12.5 |\n| 5128 | lenticular galaxy | centaurus | 13h25 m27.6s | degree01′09″ | 8.0 |\n| 5139 | globular cluster | centaurus | 13h26 m45.9s | degree28′37″ | 6.1 |\n| 5161 | spiral galaxy | centaurus | 13h29 m14.0s | degree10′30″ | 12.0 |\n| 5164 | spiral galaxy | ursa major | 13h27 m12.1s | degree29′13″ | 14.6 |\n| 5170 | spiral galaxy | virgo | 13h29 m48.9s | degree57′59″ | 11.9 |\n| 5189 | planetary nebula | musca | 13h33 m33.0s | degree58′27″ | 14.1 |\n| 5194 | spiral galaxy | canes venatici | 13h29 m52.4s | degree11′41″ | 8.8 |\n| 5195 | interacting galaxy | canes venatici | 13h29 m59.2s | degree16′05″ | 10.6 |" + } + ] + }, + { + "id": "table_recognition_train_item_64300", + "image": "table_instructV/images/TabFact_2-17371302-22.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| round | pick | player | position | shoots | nationality | league | birthplace , date | height , weight |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 4 | alex pietrangelo | d | r | canada | ontario hockey league | king city , on january 18 , 1990 | 6'3 , 206lbs |\n| 2 (from atl ) | 33 | philip mcrae | c | l | united states | ontario hockey league | minneapolis , mn march 15 , 1990 | 6'2 , 189lbs |\n| 2 | 34 | jake allen | g | l (gloves) | canada | quebec major junior hockey league | fredericton , nb august 7 , 1990 | 6'2 , 175lbs |\n| 3 | 65 | jori lehtera | c | l | finland | sm - liiga | helsinki , finland december 23 , 1987 | 6'2 , 191lbs |\n| 3 (from fl ) | 70 | james livingston | rw | r | canada | ontario hockey league | halifax , ns march 8 , 1990 | 6'1 , 200lbs |\n| 3 (from sj ) | 87 | ian schultz | rw | r | canada | western hockey league | calgary , ab march 8 , 1990 | 6'1 , 179lbs |\n| 4 | 95 | david warsofsky | d | l | united states | us national team development program u - 18 | marshfield , ma may 30 , 1990 | 5'8 , 160lbs |\n| 5 | 125 | kristoffer berglund | d | l | sweden | sweden - 2 league | umeã , sweden august 12 , 1988 | 5'10 , 180lbs |\n| 6 | 155 | anthony nigro | c | l | canada | ontario hockey league | vaughan , on january 11 , 1990 | 6'0 , 189lbs |\n| 7 | 185 | paul karpowich | g | l (gloves) | canada | ontario provincial junior a hockey league | thunder bay , on october 25 , 1988 | 6'0 , 160lbs |" + } + ] + }, + { + "id": "table_recognition_train_item_61276", + "image": "table_instructV/images/TabFact_1-245801-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| expedition | crew | launch date | flight up | landing date | flight down | duration (days) |\n| --- | --- | --- | --- | --- | --- | --- |\n| salyut 7 - eo - 1 | anatoli berezovoy , valentin lebedev | 13 may 1982 09:58:05 utc | soyuz t - 5 | 10 december 1982 19:02:36 utc | soyuz t - 7 | 211.38 |\n| salyut 7 - eo - 2 | vladimir lyakhov , aleksandr pavlovich aleksandrov | 27 june 1983 09:12:00 utc | soyuz t - 9 | 23 november 1983 19:58:00 utc | soyuz t - 9 | 149.45 |\n| salyut 7 - eo - 3 | leonid kizim , vladimir solovyov , oleg atkov | 8 february 1984 12:07:26 utc | soyuz t - 10 | 2 october 1984 10:57:00 utc | soyuz t - 11 | 236.95 |\n| salyut 7 - eo - 4 - 1a | viktor savinykh | 6 june 1985 06:39:52 utc | soyuz t - 13 | 21 november 1985 10:31:00 utc | soyuz t - 14 | 168.16 |\n| salyut 7 - eo - 4 - 1b | vladimir dzhanibekov | 6 june 1985 06:39:52 utc | soyuz t - 13 | 26 september 1985 09:51:58 utc | soyuz t - 13 | 112.13 |\n| salyut 7 - ep - 5 | georgi grechko | 17 september 1985 12:38:52 utc | soyuz t - 14 | 26 september 1985 09:51:58 utc | soyuz t - 13 | 8.88 |\n| salyut 7 - eo - 4 - 2 | vladimir vasyutin , alexander volkov | 17 september 1985 12:38:52 utc | soyuz t - 14 | 21 november 1985 10:31:00 utc | soyuz t - 14 | 64.91 |" + } + ] + }, + { + "id": "table_recognition_train_item_58704", + "image": "table_instructV/images/TabFact_2-15916193-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | september 10 , 1989 | phoenix cardinals | l 16 - 13 | 36735 |\n| 2 | september 17 , 1989 | new york giants | l 24 - 14 | 76021 |\n| 3 | september 24 , 1989 | chicago bears | l 47 - 27 | 71418 |\n| 4 | october 1 , 1989 | pittsburgh steelers | l 23 - 3 | 43804 |\n| 5 | october 8 , 1989 | minnesota vikings | l 24 - 17 | 55380 |\n| 6 | october 15 , 1989 | tampa bay buccaneers | w 17 - 16 | 46225 |\n| 7 | october 22 , 1989 | minnesota vikings | l 20 - 7 | 51579 |\n| 8 | october 29 , 1989 | green bay packers | l 23 - 20 ot | 53731 |\n| 9 | november 5 , 1989 | houston oilers | l 35 - 31 | 48056 |\n| 10 | november 12 , 1989 | green bay packers | w 31 - 22 | 44324 |\n| 11 | november 19 , 1989 | cincinnati bengals | l 42 - 7 | 55720 |\n| 12 | november 23 , 1989 | cleveland browns | w 13 - 10 | 65624 |\n| 13 | december 3 , 1989 | new orleans saints | w 21 - 14 | 38550 |\n| 14 | december 10 , 1989 | chicago bears | w 27 - 17 | 52650 |\n| 15 | december 17 , 1989 | tampa bay buccaneers | w 33 - 7 | 40362 |\n| 16 | december 24 , 1989 | atlanta falcons | w 31 - 24 | 7792 |" + } + ] + }, + { + "id": "table_recognition_train_item_67608", + "image": "table_instructV/images/TabFact_2-17511295-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| date | visitor | score | home | decision | attendance | record |\n| --- | --- | --- | --- | --- | --- | --- |\n| february 4 | boston | 3 - 1 | philadelphia | biron | 19748 | 26 - 15 - 9 |\n| february 7 | philadelphia | 4 - 3 | boston | niittymaki | 17565 | 27 - 15 - 9 |\n| february 8 | philadelphia | 3 - 2 | atlanta | niittymaki | 14175 | 28 - 15 - 9 |\n| february 12 | ottawa | 5 - 2 | philadelphia | niittymaki | 19679 | 28 - 16 - 9 |\n| february 14 | ny islanders | 1 - 5 | philadelphia | biron | 19789 | 29 - 16 - 9 |\n| february 15 | philadelphia | 5 - 2 | ny rangers | biron | 18200 | 30 - 16 - 9 |\n| february 19 | buffalo | 3 - 6 | philadelphia | biron | 19642 | 31 - 16 - 9 |\n| february 21 | pittsburgh | 5 - 4 | philadelphia | biron | 19992 | 31 - 17 - 9 |\n| february 24 | philadelphia | 4 - 2 | washington | biron | 18277 | 32 - 17 - 9 |\n| february 25 | los angeles | 0 - 2 | philadelphia | biron | 19568 | 33 - 17 - 9 |\n| february 27 | montreal | 4 - 3 | philadelphia | niittymaki | 19881 | 33 - 17 - 10 |" + } + ] + }, + { + "id": "table_recognition_train_item_54052", + "image": "table_instructV/images/TabFact_2-16767061-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | september 21 , 1975 | los angeles rams | w 18 - 7 | 49091 |\n| 2 | september 28 , 1975 | st louis cardinals | w 37 - 31 | 52417 |\n| 3 | october 6 , 1975 | detroit lions | w 36 - 10 | 79384 |\n| 4 | october 12 , 1975 | new york giants | w 13 - 7 | 56511 |\n| 5 | october 19 , 1975 | green bay packers | l 19 - 17 | 64189 |\n| 6 | october 26 , 1975 | philadelphia eagles | w 20 - 17 | 64889 |\n| 7 | november 2 , 1975 | washington redskins | l 30 - 24 | 55004 |\n| 8 | november 10 , 1975 | kansas city chiefs | l 34 - 31 | 63539 |\n| 9 | november 16 , 1975 | new england patriots | w 34 - 31 | 60905 |\n| 10 | november 23 , 1975 | philadelphia eagles | w 27 - 17 | 57893 |\n| 11 | november 30 , 1975 | new york giants | w 14 - 3 | 53329 |\n| 12 | december 7 , 1975 | st louis cardinals | l 31 - 17 | 49701 |\n| 13 | december 13 , 1975 | washington redskins | w 31 - 10 | 61091 |\n| 14 | december 21 , 1975 | new york jets | w 31 - 21 | 37279 |" + } + ] + }, + { + "id": "table_recognition_train_item_69796", + "image": "table_instructV/images/TabFact_2-16351707-14.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| wicket | runs | batsmen | opponent | venue | season |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 210 | jamie cox & david boon | new south wales | bellerive oval , hobart | 1998 / 99 |\n| 2 | 225 | travis birt & michael bevan | south australia | bellerive oval , hobart | 2004 / 05 |\n| 3 | 152 | gary goodman & john hampshire | queensland | gabba , brisbane | 1978 / 79 |\n| 4 | 125 | travis birt & george bailey | queensland | bellerive oval , hobart | 2006 / 07 |\n| 5 | 158 | jamie cox & daniel marsh | queensland | bellerive oval , hobart | 2002 / 03 |\n| 6 | 100 | michael bevan & tim paine | queensland | bellerive oval , hobart | 2005 / 06 |\n| 7 | 96 | trevor docking & jack simmons | western australia | tca ground , hobart | 1978 / 79 |\n| 8 | 58 | jamie cox & scott kremerskothen | new south wales | formby recreation ground , devonport | 2002 / 03 |\n| 9 | 67 | graeme cunningham & david saker | western australia | waca , perth | 2001 / 02 |\n| = 10 | 28 | michael farrell & mark ridgeway | western australia | bellerive oval , hobart | 1996 / 97 |\n| = 10 | 28 | sean clingeleffer & shannon tubb | south australia | adelaide oval , adelaide | 2001 / 02 |" + } + ] + }, + { + "id": "table_recognition_train_item_51848", + "image": "table_instructV/images/TAT-QA_4f5ebbfb-f036-4483-a015-78f3ffefabc0.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| | Year Ended December 31, | |\n| --- | --- | --- |\n| | 2019 | 2018 |\n| | $ | $ |\n| Fair value at the beginning of the year | 12,026 | 30,749 |\n| Fair value on acquisition/issuance | — | 2,330 |\n| Unrealized gain (loss) included in earnings | 26,900 | (21,053) |\n| Realized loss included in earnings | (25,559) | — |\n| Settlements | (13,367) | — |\n| Fair value at the end of the year | — | 12,026 |" + } + ] + }, + { + "id": "table_recognition_train_item_107690", + "image": "table_instructV/images/ToTTo_train_table_32285.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Name | Denomination | Area | Completed | Demolished | Present use of site | Notes | Refs |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| All Saints Church | Anglican | Seven Dials 50°49′50″N 0°08′39″W / 50.8306°N 0.1443°W | 1853 | 1957 | Residential (White Lodge) | Richard Cromwell Carpenter designed this flint and stone church in the Decorated Gothic style for Reverend Henry Michell Wagner. He commissioned it to serve the rapidly developing residential streets of West Hill and Seven Dials, whose growth had been stimulated by the opening of the railway line to London. | |\n| All Souls Church | Anglican | Kemptown 50°49′16″N 0°07′36″W / 50.8211°N 0.1267°W | 1838 | 1968 | Residential (Miles Court) | This was the first church planned and endowed by Reverend Henry Michell Wagner. Intended to serve the poor area which had developed west of the high-class Kemp Town estate, it was founded in 1833 and consecrated in 1834; building work continued for four years. | |\n| Christ Church | Anglican | Montpelier 50°49′28″N 0°09′12″W / 50.8245°N 0.1534°W | 1837 | 1982 | Residential (Christ Church House) | Another of Wagner's churches, this Gothic Revival structure was designed by George Cheeseman junior—architect of several Brighton churches. Its spire, atop a short tower with dominant pinnacles, was identical to that at Chichester Cathedral. | |\n| Church of the Holy Resurrection | Anglican | Brighton 50°49′21″N 0°08′47″W / 50.8226°N 0.1463°W | 1876 | 1968 | Commercial (Churchill Square shopping centre) | One of five churches founded by Henry Michell Wagner's son Arthur, this had a short life: it closed in 1908 and was used by the West Street Brewery and (from 1912) for meat storage. | |\n| St Alban's Church | Anglican | Coombe Road 50°50′23″N 0°07′08″W / 50.8398°N 0.1188°W | 1910 | 2013 | Residential | Lacy W. Ridge built this church between 1910 and 1914 to serve the Coombe Road suburb east of Lewes Road—an area historically known as East Preston. | |\n| St Anne's Church | Anglican | Kemptown 50°49′08″N 0°07′27″W / 50.8190°N 0.1242°W | 1863 | 1986 | Residential (St Anne's Court) | Sheltered housing now stands on the site of Wagner's last church, which served a mostly middle-class area near Brighton seafront. The Decorated Gothic-style stone church was the work of prolific architect Benjamin Ferrey. | |\n| St James's Church | Anglican | Kemptown 50°49′15″N 0°07′56″W / 50.8207°N 0.1322°W | 1875 | 1950 | Commercial (Co-op) | A chapel with the same dedication, built in 1810 and used for Anglican worship from 1826, was replaced by Edmund Scott's brick, flint and stone Early English-style church. | |\n| St Margaret's Church | Anglican | Brighton 50°49′22″N 0°08′55″W / 50.8227°N 0.1487°W | 1824 | 1959 | Residential (Sussex Heights) | Extravagant local businessman Barnard Gregory commissioned one of Brighton's leading architects, Charles Busby, to design a proprietary chapel for him in an area of Brighton he was trying to encourage fashionable, high-class people to visit. | |\n| St Mary & St Mary Magdalene's Church | Anglican | North Laine 50°49′30″N 0°08′27″W / 50.8251°N 0.1407°W | 1862 | 1963 | Commercial (Sovereign House) | Only a tiny stub of Bread Street, where this church was built, survives: the rest was lost under the large headquarters of International Factors (later GMAC Commercial Finance). | |\n| St Matthew's Church | Anglican | Queen's Park 50°49′24″N 0°07′15″W / 50.8233°N 0.1207°W | 1881 | 1967 | Residential (St Matthew's Court) | John Norton designed this large concrete, flint and stone church in the Early English style. It replaced a tin tabernacle and was consecrated in 1883. | |\n| St Saviour's Church | Anglican | Round Hill 50°50′10″N 0°08′02″W / 50.8360°N 0.1339°W | 1886 | 1983 | Residential (St Saviour's Court) | Edmund Scott and F.T. Cawthorn's Early English-style church served middle-class housing around Ditchling Road. | |\n| Adullam Chapel | Baptist | Brighton 50°49′26″N 0°08′34″W / 50.8240°N 0.1428°W | 1840 | c. 1920 | Commercial (Regent Cinema; later Boots the Chemist) | John Austin from the Providence Chapel in Church Street founded this in 1840. It was later called Windsor Street Chapel, and spent 40 years in religious use until a fire wrecked it in 1880. | |\n| Ebenezer Strict Baptist Chapel | Baptist | Carlton Hill 50°49′37″N 0°07′57″W / 50.8269°N 0.1326°W | 1825 | 1966 | Residential (Normanhurst) | This opened on 13 April 1825 near the bottom of Richmond Street (now Richmond Parade), Brighton's steepest road. It was stuccoed and in the Renaissance style. | |\n| Horeb Tabernacle | Baptist | Preston Park 50°50′43″N 0°08′41″W / 50.8452°N 0.1447°W | 1917 | c. 1980 | Residential (Florence Court) | Also known as Preston Park Baptist Church, this brick chapel stood near the northeast corner of the park. It was demolished to make way for a block of flats. | |\n| Mighell Street Hall | Baptist | Carlton Hill 50°49′22″N 0°07′57″W / 50.8227°N 0.1325°W | 1878 | c. 1965 | Commercial (Amex House) | Founded by Thomas Boxall or George Virgo of Bethel Chapel, Wivelsfield (sources disagree) as a Strict Baptist chapel, this building became the parish hall of nearby St John the Evangelist's Church in 1910. | |\n| Montpelier Place Baptist Church | Baptist | Montpelier 50°49′37″N 0°09′15″W / 50.8269°N 0.1541°W | 1967 | 2018 | Vacant | This modern brick building was opened in 1967 on the site of the Emmanuel Reformed Episcopal Church (1867–1965). Designed by E. | |\n| Moulsecoomb Way Baptist Church | Baptist | Moulsecoomb 50°51′05″N 0°06′31″W / 50.8513°N 0.1085°W | 1953 | 1988 | Leisure centre | This was built on the Moulsecoomb estate in 1953 and registered for marriages in 1956, but was said to be derelict at the time of its compulsory purchase by the council, who wanted to build Moulsecoomb Leisure Centre on the site. | |\n| Portslade Baptist Chapel | Baptist | Portslade 50°49′53″N 0°12′45″W / 50.8314°N 0.2126°W | 1882 | 1960 | Commercial | A.R. Parr designed the local Baptist community's first church, which they occupied until 1959. | |\n| Providence Baptist Chapel | Baptist | Hove 50°49′51″N 0°10′25″W / 50.8308°N 0.1736°W | 1868 | c. 1980 | Commercial | Ebenezer Turquand, a member of the Salem Chapel in Brighton, extended Strict Baptist worship into neighbouring Hove by founding this chapel on a small street near St Andrew's Church. | |\n| Salem Strict Baptist Chapel | Baptist | Brighton 50°49′24″N 0°08′25″W / 50.8232°N 0.1402°W | 1861 | 1974 | Commercial (Edge House) | Brighton's first Baptist chapel, founded by members of Bethel Strict Baptist Chapel at Wivelsfield, was built on the site in 1787. | |\n| Stoneham Road Baptist Church | Baptist | Aldrington 50°50′06″N 0°11′14″W / 50.8350°N 0.1872°W | 1904 | 2008 | Residential (Poets Place) | Clayton & Black built this church of red brick in 1904, but it now has a roughcast exterior and was extended in 1931. | |\n| Sussex Street Strict Baptist Chapel | Baptist | Carlton Hill 50°49′32″N 0°08′04″W / 50.8255°N 0.1345°W | c. 1867 | 1937 | Commercial (Circus Street Municipal Market) | This stuccoed church with lancet windows was built in a slum area at the west end of Sussex Street (a section now called Morley Street). | |\n| Tabernacle Strict Baptist Chapel | Baptist | Brighton 50°49′21″N 0°08′41″W / 50.8224°N 0.1447°W | 1834 | 1965 | Religious (Wagner Hall) | Architectural features of this Neoclassical building included a pediment and a stuccoed exterior. After a period of disuse, it was demolished during the Churchill Square redevelopment and replaced with the Wagner Hall, used as the church hall of the neighbouring St Paul's. | |\n| Brethren Meeting Room | Brethren | Patcham 50°52′02″N 0°09′09″W / 50.8672°N 0.1526°W | 1965 | 2012 | Residential | The concrete-walled, flat-roofed building which stood at the northern edge of Patcham until November 2012 was built in 1965 for 750 worshippers. | |\n| Hollingbury Hall | Brethren | Hollingdean 50°50′37″N 0°07′54″W / 50.8435°N 0.1316°W | 1932 | 2007 | Residential | The building dated from 1932 but was registered as a place of worship in 1947. It was used by Brethren and later by an Evangelical organisation called Christian Fellowship. | |\n| Stretton Hall | Brethren | Aldrington 50°50′07″N 0°12′09″W / 50.8354°N 0.2025°W | a.-1963 | 2015 | Residential | This small Vernacular-style building closed in the early 21st century and passed into commercial use. Its registration for worship was formally cancelled in December 2009. | |\n| Winton Gospel Hall | Brethren | Rottingdean 50°48′46″N 0°03′44″W / 50.8127°N 0.0623°W | c. 1950 | 2010 | Residential | A single-storey meeting room for Exclusive Brethren was built on the Falmer Road and registered for marriages in November 1950. It had a hipped roof and roughcast walls. | |\n| Central Free Church (Union Church) | Congregational | Brighton 50°49′27″N 0°08′38″W / 50.8243°N 0.1438°W | 1853 | 1984 | Commercial (Queen Square House) | Described as having \"fine townscape value\" (but, to Pevsner, \"a restless group\"), this large Early English-style stone church was in the commercial heart of Brighton on a corner site. | |\n| London Road Congregational Church | Congregational | New England Quarter 50°49′49″N 0°08′14″W / 50.8303°N 0.1371°W | 1830 | 1976 | Residential | This Neoclassical building by William Simpson was endowed by local solicitor Henry Brooker, and was used by the Countess of Huntingdon's Connexion until 1881. | |\n| The Dials Congregational Church | Congregational | Montpelier 50°49′44″N 0°08′50″W / 50.8290°N 0.1471°W | 1870 | 1972 | Residential (Homelees House) | A 150-foot (46 m) \"Rhenish helm\"-topped clock tower dominated this church and the skyline, forming one of Brighton's most prominent landmarks until its demolition in April 1972. | |\n| Connaught Christian Fellowship (New Life Church) | Evangelical | Round Hill 50°50′09″N 0°07′30″W / 50.8359°N 0.1249°W | 1897 | 2010 | Vacant | This red-brick and terracotta building had many uses, both religious and secular, before finally falling into dereliction by 2003. It faced Lewes Road and Melbourne Street, and had entrances in both. | |\n| Immanuel Community Church | Evangelical | Hanover 50°49′43″N 0°07′34″W / 50.8286°N 0.1262°W | 1881 | 2003 | Residential (Immanuel House) | This began as a Primitive Methodist chapel. In 1893 it was turned into the Islingword Road Mission Chapel, which was previously housed in a tin tabernacle. | |\n| The Downs Free Church | Evangelical | Woodingdean 50°50′17″N 0°04′33″W / 50.8380°N 0.0759°W | 1932 | 1991 | Residential | This church stood on Downsway, and opened during the early stages of Woodingdean's suburban development. It was extended later in the 20th century, and was in use until 1991. | |\n| Norfolk Road Methodist Church | Methodist | Montpelier 50°49′32″N 0°09′17″W / 50.8256°N 0.1548°W | 1868 | 1965 | Residential (Braemar House) | This large church of flint and stone had much stained glass and a turret-style tower at one corner. C.O. | |\n| Preston Park Methodist Church | Methodist | Preston Park 50°50′08″N 0°08′34″W / 50.8356°N 0.1428°W | 1883 | 1974 | Commercial (London Gate) | The Methodist community erected this church in 1883 on the site of a tin tabernacle which they had been using for worship. | |\n| Sussex Street Primitive Methodist Chapel | Methodist | Carlton Hill 50°49′31″N 0°08′00″W / 50.8253°N 0.1333°W | 1836 | c. 1950 | Residential (Kingswood Flats) | One historian has identified this as the first Primitive Methodist place of worship in Sussex. It was a Classical-style stuccoed building with arched windows and topped with a pediment. | |\n| Christ Church Independent Chapel | Independent | New England Quarter 50°50′02″N 0°08′24″W / 50.8338°N 0.1400°W | 1874 | 1997 | Residential (Amber House) | J.G. Gibbins designed this church for an Independent congregation in 1874, but it had other religious uses and periods of closure before it finally fell out of use in the 1980s. | |\n| Grand Parade Chapel | Independent | Brighton 50°49′33″N 0°08′06″W / 50.8257°N 0.1351°W | 1835 | 1938 | Widened road | Attributed to George Cheeseman junior, designer of several churches in Brighton, this stuccoed Gothic Revival building housed Independent worshippers for its first few years before being taken on by the Catholic Apostolic Church (1853–65) and the Free Church of England later. | |\n| Our Lady Star of the Sea & St Denis Church | Roman Catholic | Portslade 50°50′02″N 0°12′48″W / 50.8340°N 0.2132°W | 1912 | 1991 | Residential | The plain Romanesque Revival exterior of Portslade's Roman Catholic church, of roughcast and stone, contrasted with the extremely lavish Byzantine interior, decorated mostly by local artists. | |\n| St Louis, King of France Church | Roman Catholic | Whitehawk 50°49′04″N 0°06′14″W / 50.8177°N 0.1039°W | 1964 | 1984 | Residential (Henley Court) | This was a Mass centre (similar to a mission chapel) established on the Whitehawk housing estate by St John the Baptist's Church and served from it. | |\n| Goodwill Centre | Salvation Army | Moulsecoomb 50°51′08″N 0°06′17″W / 50.8521°N 0.1047°W | c. 1936 | 1956 | Commercial | The Salvation Army established a hall on the Moulsecoomb estate in the 1930s, which was apparently run from the main Congress Hall at Park Crescent. | |\n| Salvation Army Citadel | Salvation Army | Carlton Hill 50°49′21″N 0°08′00″W / 50.8225°N 0.1333°W | 1884 | 1965 | Widened road | This stuccoed building stood opposite the south end of Dorset Gardens and was distinguished by its large crow-stepped parapet with a battlement-topped tower at each end. | |\n| Providence Chapel | Calvinist | North Laine 50°49′33″N 0°08′24″W / 50.8257°N 0.1400°W | 1805 | 1965 | Commercial | This chapel, of polychromatic patterned brick and topped by a pediment, was founded by W.J. Brook, a follower of William Huntington. | |\n| Carlton Hill Apostolic Church | Catholic Apostolic | Carlton Hill 50°49′26″N 0°08′06″W / 50.8239°N 0.1349°W | 1865 | 1964 | Educational (extension of Brighton Art College) | Brighton's Catholic Apostolic community formed in the 1830s and occupied Grand Parade Chapel for 18 years, but moved to this new building in 1865. | |\n| Countess of Huntingdon's Chapel | Countess of Huntingdon's Connexion | Brighton 50°49′21″N 0°08′24″W / 50.8226°N 0.1401°W | 1870 | 1972 | Commercial (Huntingdon House) | Three churches of this denomination occupied the site—its predecessors dated from 1761 and 1774—but John Wimble's stone and flint Early English-style building was the best known. | |\n| Elim Balfour Road Church | Elim Pentecostal | Preston Park 50°50′50″N 0°08′21″W / 50.8471°N 0.1393°W | 1939 | 2007 | Residential | This small brick building on Balfour Road dated from 1939, although it was registered for marriages in 1954. It was demolished in 2007 after planning permission was granted for two houses to be built on the site. | |\n| Kingdom Hall | Jehovah's Witnesses | Southern Cross 50°50′06″N 0°12′52″W / 50.8350°N 0.2145°W | c. 1950 | 2012 | Residential | This former Kingdom Hall in Portslade, on Trafalgar Road close to Fishersgate railway station, was opened in the 1950s, extended several times and sold to a screen printing company in 1991. | |\n| Emmanuel Reformed Episcopal Church | Reformed Episcopal | Montpelier 50°49′37″N 0°09′15″W / 50.8269°N 0.1542°W | 1867 | 1965 | Vacant | The 1867 church which stood on this site for 98 years has been attributed to S. Hemmings and was a grey Gothic Revival building with a spire-topped tower at the southeast corner. | |\n| St Cuthbert's Church | United Reformed Church (Presbyterian) | Hove 50°49′54″N 0°09′37″W / 50.8318°N 0.1603°W | 1904 | 1984 | Residential (Bellmead) | This large church, by Edward Procter, formed a landmark on a corner site. His design was Decorated Gothic and used brick and stone with terracotta dressings. | |" + } + ] + }, + { + "id": "table_recognition_train_item_62070", + "image": "table_instructV/images/TabFact_2-1816948-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| round | opponents | home | away | aggregate |\n| --- | --- | --- | --- | --- |\n| 1 | keflavik | 2 - 1 | 0 - 1 | 2 - 2 ( a ) |\n| 1 | bayer leverkusen | 1 - 4 | 0 - 3 | 1 - 7 |\n| q1 | racing union luxembourg | 7 - 1 | 3 - 0 | 10 - 1 |\n| q2 | aa gent | 4 - 0 | 1 - 2 | 5 - 2 |\n| 1 | feyenoord | 2 - 1 | 0 - 1 | 2 - 2 ( a ) |\n| q1 | eb / streymur | 1 - 0 | 3 - 0 | 4 - 0 |\n| q2 | dacia | 0 - 0 | 2 - 0 | 2 - 0 |\n| q3 | levski sofia | 1 - 1 | 2 - 5 | 3 - 6 |" + } + ] + }, + { + "id": "table_recognition_train_item_65174", + "image": "table_instructV/images/TabFact_2-10869537-12.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| home team | home team score | away team | away team score | venue | crowd | date |\n| --- | --- | --- | --- | --- | --- | --- |\n| hawthorn | 12.13 (85) | north melbourne | 10.10 (70) | glenferrie oval | 12380 | 23 june 1973 |\n| carlton | 17.12 (114) | geelong | 9.13 (67) | princes park | 14202 | 23 june 1973 |\n| st kilda | 11.14 (80) | melbourne | 6.18 (54) | moorabbin oval | 24262 | 23 june 1973 |\n| richmond | 15.21 (111) | essendon | 13.17 (95) | mcg | 43892 | 23 june 1973 |\n| south melbourne | 12.5 (77) | collingwood | 15.9 (99) | lake oval | 12484 | 23 june 1973 |\n| fitzroy | 13.11 (89) | footscray | 10.15 (75) | vfl park | 7016 | 23 june 1973 |" + } + ] + }, + { + "id": "table_recognition_train_item_55496", + "image": "table_instructV/images/TabFact_2-12795474-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| year | series title | chinese title | role | channel |\n| --- | --- | --- | --- | --- |\n| 2003 | dragon laws i : the undercover | 特警飛龍之一 - 臥底威龍 | police officer lung | china - |\n| 2003 | dragon laws ii : kidnapped | 特警飛龍之二 - 大綁架 | police officer lung | china - |\n| 2003 | dragon laws iii : smuggled weapons | 特警飛龍之三 - 走私軍火 | police officer lung | china - |\n| 2003 | dragon laws iv : weapon on sale | 特警飛龍之四 - 炸彈狂徒 | police officer lung | china - |\n| 2003 | dragon laws v : diamond trades | 特警飛龍之五 - 鑽石大盜 | police officer lung | china - |" + } + ] + }, + { + "id": "table_recognition_train_item_34701", + "image": "table_instructV/images/TABMWP_10778.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 13 | 19 |\n| 14 | 10 |\n| 15 | 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_54420", + "image": "table_instructV/images/TabFact_2-14385184-56.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| nation | skip | third | second | lead |\n| --- | --- | --- | --- | --- |\n| belarus | oleksii voloshenko | siarhei sarokin | alexandr radaev | aliaksandr tsiushkevich |\n| bulgaria | nikolai runtov | tihomir todorov | stoil georgiev | ilian kirilov |\n| england | andrew reed | james dixon | tom jaeggi | andrew dixon |\n| latvia | ritvars gulbis | ainars gulbis | aivars avotins | normunds sarsuns |\n| lithuania | martynas norkus | vygantas zalieckas | piotras gerasimovic | dalius garakvinas |\n| serbia | marko stojanovic | darko sovran | bojan mijatovic | vuk krajacic |\n| wales | jamie meikle | stuart hills | andrew tanner | james pougher |" + } + ] + }, + { + "id": "table_recognition_train_item_107086", + "image": "table_instructV/images/ToTTo_train_table_29774.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| Year | Games | Attempts | Completions | Comp % | Yards | Avg | TD | INT | QB rating |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2003 | 8 | 145 | 73 | 50.3% | 864 | 6.0 | 5 | 5 | 104.9 |\n| 2004 | 11 | 343 | 192 | 56.0% | 2,563 | 7.5 | 15 | 8 | 128.5 |\n| 2005 | 12 | 513 | 331 | 64.5% | 3,709 | 7.2 | 27 | 13 | 137.6 |\n| 2006 | 12 | 417 | 289 | 69.3% | 3,885 | 9.3 | 32 | 8 | 169.1 |\n| Total | 43 | 1418 | 885 | 62.4% | 11,021 | 7.8 | 79 | 34 | 141.3 |" + } + ] + }, + { + "id": "table_recognition_train_item_35128", + "image": "table_instructV/images/TABMWP_24275.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Number of strings | Number of red beads |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | 40 |\n| 5 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_112635", + "image": "table_instructV/images/Rotowire_train_table_660.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Cavaliers | Cleveland | 118 | 29 | 30 | 30 | 29 | 29 | 36 | 12 | 51 | 68 | 45 | 30 | 11 | | | | |\n| Suns | Phoenix | 103 | 21 | 20 | 35 | 27 | 23 | 46 | 14 | 44 | 81 | 21 | 13 | 29 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Cavaliers | | | | | | | | | | | | | | | | | | |\n| Kyrie Irving | 33 | 26 | 2 | 4 | 10-20 | 50% | 2-7 | 29% | 4-5 | 80% | 2 | 2 | 0 | 0 | 2 | 2 | G | Cleveland |\n| LeBron James | 39 | 21 | 9 | 15 | 8-12 | 67% | 0-2 | 0% | 5-8 | 63% | 1 | 4 | 2 | 0 | 9 | 2 | F | Cleveland |\n| Channing Frye | 30 | 18 | 10 | 2 | 6-11 | 55% | 4-8 | 50% | 2-2 | 100% | 1 | 0 | 0 | 2 | 8 | 5 | N/A | Cleveland |\n| Iman Shumpert | 30 | 17 | 2 | 1 | 6-8 | 75% | 5-6 | 83% | 0-0 | 0% | 1 | 0 | 1 | 1 | 1 | 5 | G | Cleveland |\n| James Jones | 20 | 14 | 0 | 2 | 5-8 | 63% | 4-6 | 67% | 0-0 | 0% | 0 | 2 | 1 | 0 | 0 | 3 | F | Cleveland |\n| Kyle Korver | 25 | 9 | 5 | 0 | 3-10 | 30% | 3-9 | 33% | 0-0 | 0% | 2 | 2 | 0 | 0 | 5 | 1 | N/A | Cleveland |\n| DeAndre Liggins | 17 | 5 | 0 | 1 | 1-3 | 33% | 1-2 | 50% | 2-2 | 100% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Cleveland |\n| Richard Jefferson | 23 | 4 | 2 | 3 | 2-5 | 40% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 2 | N/A | Cleveland |\n| Kay Felder | 2 | 2 | 0 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Cleveland |\n| Tristan Thompson | 20 | 2 | 6 | 1 | 1-6 | 17% | 0-0 | 0% | 0-2 | 0% | 0 | 1 | 2 | 0 | 6 | 2 | C | Cleveland |\n| Jordan McRae | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Cleveland |\n| Kevin Love | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Suns | | | | | | | | | | | | | | | | | | |\n| Tyson Chandler | 30 | 22 | 16 | 1 | 9-14 | 64% | 0-0 | 0% | 4-6 | 67% | 0 | 1 | 1 | 8 | 8 | 0 | C | Phoenix |\n| Eric Bledsoe | 38 | 22 | 6 | 9 | 7-20 | 35% | 2-5 | 40% | 6-7 | 86% | 4 | 4 | 0 | 2 | 4 | 3 | G | Phoenix |\n| Devin Booker | 37 | 21 | 7 | 8 | 4-13 | 31% | 0-4 | 0% | 13-14 | 93% | 0 | 4 | 0 | 1 | 6 | 3 | G | Phoenix |\n| TJ Warren | 40 | 18 | 3 | 1 | 8-12 | 67% | 0-2 | 0% | 2-4 | 50% | 2 | 0 | 1 | 2 | 1 | 2 | F | Phoenix |\n| Marquese Chriss | 22 | 6 | 4 | 1 | 3-7 | 43% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 2 | 2 | 3 | F | Phoenix |\n| Alex Len | 8 | 4 | 3 | 0 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 3 | 0 | N/A | Phoenix |\n| Dragan Bender | 18 | 3 | 1 | 1 | 1-5 | 20% | 1-5 | 20% | 0-0 | 0% | 0 | 1 | 1 | 0 | 1 | 3 | N/A | Phoenix |\n| Brandon Knight | 4 | 3 | 0 | 0 | 1-3 | 33% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 4 | N/A | Phoenix |\n| PJ Tucker | 29 | 2 | 5 | 2 | 1-5 | 20% | 0-1 | 0% | 0-0 | 0% | 2 | 0 | 0 | 0 | 5 | 2 | N/A | Phoenix |\n| Tyler Ulis | 10 | 2 | 1 | 0 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 1 | 2 | 0 | 0 | 1 | 1 | N/A | Phoenix |\n| Leandro Barbosa | 4 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Phoenix |\n| Jared Dudley | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Alan Williams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |" + } + ] + }, + { + "id": "table_recognition_train_item_107435", + "image": "table_instructV/images/ToTTo_train_table_31199.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| element | mass | half-life (years) | typical application |\n| --- | --- | --- | --- |\n| helium | 3 | stable - | exposure dating of olivine-bearing rocks |\n| beryllium | 10 | 1.36 million | exposure dating of quartz-bearing rocks, sediment, dating of ice cores, measurement of erosion rates |\n| carbon | 14 | 5,730 | dating of organic matter, water |\n| neon | 21 | stable - | dating of very stable, long-exposed surfaces, including meteorites |\n| aluminum | 26 | 720,000 | exposure dating of rocks, sediment |\n| chlorine | 36 | 308,000 | exposure dating of rocks, groundwater tracer |\n| calcium | 41 | 103,000 | exposure dating of carbonate rocks |\n| iodine | 129 | 15.7 million | groundwater tracer |" + } + ] + }, + { + "id": "table_recognition_train_item_34878", + "image": "table_instructV/images/TABMWP_16490.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| Number of boxes | Number of necklaces |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_112441", + "image": "table_instructV/images/Rotowire_train_table_563.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Celtics | Boston | 109 | 21 | 21 | 19 | 27 | 28 | 49 | 12 | 40 | 82 | 43 | 5 | 11 | | | | |\n| Pistons | Detroit | 102 | 23 | 20 | 15 | 30 | 20 | 55 | 11 | 36 | 69 | 30 | 3 | 16 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Jeff Green | 36 | 32 | 5 | 1 | 8-22 | 36% | 6-10 | 60% | 10-10 | 100% | 0 | 2 | 1 | 0 | 5 | 0 | F | Boston |\n| Kelly Olynyk | 27 | 20 | 7 | 4 | 8-13 | 62% | 2-4 | 50% | 2-5 | 40% | 2 | 2 | 3 | 0 | 7 | 5 | N/A | Boston |\n| Jared Sullinger | 30 | 14 | 8 | 2 | 5-12 | 42% | 2-4 | 50% | 2-2 | 100% | 2 | 0 | 1 | 0 | 8 | 5 | F | Boston |\n| Brandon Bass | 21 | 9 | 5 | 1 | 2-9 | 22% | 0-0 | 0% | 5-6 | 83% | 0 | 0 | 0 | 1 | 4 | 1 | N/A | Boston |\n| Evan Turner | 27 | 9 | 7 | 5 | 3-8 | 38% | 0-2 | 0% | 3-4 | 75% | 0 | 3 | 0 | 2 | 5 | 1 | N/A | Boston |\n| Tyler Zeller | 27 | 8 | 10 | 0 | 4-6 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 4 | 6 | 3 | C | Boston |\n| Phil Pressey | 17 | 7 | 3 | 4 | 3-5 | 60% | 1-2 | 50% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 2 | N/A | Boston |\n| Avery Bradley | 26 | 6 | 0 | 0 | 2-5 | 40% | 2-3 | 67% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | G | Boston |\n| Gerald Wallace | 9 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Boston |\n| Rajon Rondo | 34 | 2 | 3 | 8 | 1-6 | 17% | 0-1 | 0% | 0-0 | 0% | 3 | 4 | 0 | 1 | 2 | 1 | G | Boston |\n| Marcus Thornton | 6 | 0 | 1 | 1 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Boston |\n| Marcus Smart | 5 | 0 | 0 | 2 | 0-3 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Boston |\n| James Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Pistons | | | | | | | | | | | | | | | | | | |\n| Greg Monroe | 32 | 29 | 7 | 0 | 9-17 | 53% | 0-0 | 0% | 11-11 | 100% | 0 | 2 | 1 | 1 | 6 | 2 | N/A | Detroit |\n| Andre Drummond | 42 | 27 | 14 | 0 | 12-18 | 67% | 0-0 | 0% | 3-8 | 38% | 4 | 2 | 5 | 7 | 7 | 6 | C | Detroit |\n| Kentavious Caldwell-Pope | 41 | 15 | 6 | 1 | 6-15 | 40% | 3-8 | 38% | 0-0 | 0% | 2 | 1 | 0 | 1 | 5 | 3 | G | Detroit |\n| Josh Smith | 28 | 12 | 11 | 3 | 4-15 | 27% | 0-0 | 0% | 4-6 | 67% | 1 | 3 | 1 | 2 | 9 | 6 | F | Detroit |\n| Caron Butler | 29 | 8 | 2 | 0 | 3-9 | 33% | 2-4 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Detroit |\n| Cartier Martin | 12 | 6 | 3 | 0 | 2-3 | 67% | 2-3 | 67% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 1 | N/A | Detroit |\n| Kyle Singler | 24 | 3 | 4 | 1 | 1-7 | 14% | 1-4 | 25% | 0-0 | 0% | 0 | 0 | 0 | 2 | 2 | 1 | F | Detroit |\n| Brandon Jennings | 39 | 1 | 4 | 12 | 0-11 | 0% | 0-6 | 0% | 1-2 | 50% | 0 | 2 | 0 | 2 | 2 | 1 | G | Detroit |\n| D.J. Augustin | 14 | 1 | 3 | 3 | 0-6 | 0% | 0-1 | 0% | 1-2 | 50% | 0 | 1 | 0 | 1 | 2 | 0 | N/A | Detroit |\n| Jonas Jerebko | 4 | 0 | 1 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Detroit |\n| Gigi Datome | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Joel Anthony | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Spencer Dinwiddie | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |" + } + ] + }, + { + "id": "table_recognition_train_item_107429", + "image": "table_instructV/images/ToTTo_train_table_31172.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 1985 | Delivery Boys | Fast Action | |\n| 1985 | Mixed Blood | Jose | Alternative title: Cocaïne |\n| 1986 | The Return of Billy Jack | | Unfinished film |\n| 1987 | Initiation | Danny Molloy | Alternative title: Zoomstone |\n| 1987 | Five Corners | Castro | |\n| 1988 | Salsa | Ken | |\n| 1988 | Spike of Bensonhurst | Frankie | Alternative titles: The Mafia Kid Throw Back! |\n| 1990 | Silent Love | Giulio | Alternative title: La bocca |\n| 1990 | Twin Peaks | Biker Scotty | Episode: Pilot |\n| 1990 | The Outsiders | Sodapop Curtis | 13 episodes |\n| 1991 | My Own Private Idaho | Gary | |\n| 1992 | Guncrazy | Tom | |\n| 1996 | God's Lonely Man | Glen | |\n| 1996 | Intimate Crimes | Cameron | Alternative title: Delitti a Luce Rossa |" + } + ] + }, + { + "id": "table_recognition_train_item_57192", + "image": "table_instructV/images/TabFact_2-16744814-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| rank | gold | silver | bronze | total |\n| --- | --- | --- | --- | --- |\n| 1 | 10 | 3 | 2 | 15 |\n| 2 | 5 | 6 | 3 | 14 |\n| 3 | 1 | 4 | 7 | 12 |\n| 4 | 0 | 2 | 3 | 5 |\n| 5 | 0 | 1 | 0 | 1 |\n| 6 | 0 | 0 | 1 | 1 |\n| total | 16 | 16 | 16 | 48 |" + } + ] + }, + { + "id": "table_recognition_train_item_62616", + "image": "table_instructV/images/TabFact_1-22862203-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| date | location | opponent | terps points | opp points | record |\n| --- | --- | --- | --- | --- | --- |\n| nov 18 / 05 | loudonville , ny | siena | 107 | 66 | 1 - 0 |\n| nov 20 / 05 | college park , md | xavier | 93 | 68 | 2 - 0 |\n| nov 24 / 05 | st thomas , us virgin islands | gonzaga | 88 | 50 | 3 - 0 |\n| nov 25 / 05 | st thomas , us virgin islands | michigan state | 75 | 61 | 4 - 0 |\n| nov 26 / 05 | st thomas , us virgin islands | tennessee | 75 | 80 | 4 - 1 |\n| dec 1 / 05 | college park | appalachian state | 118 | 59 | 5 - 1 |\n| dec 4 / 05 | college park | mount st mary 's | 102 | 53 | 6 - 1 |\n| dec 7 / 05 | west long branch , nj | monmouth | 88 | 55 | 7 - 1 |\n| dec 11 / 05 | college park | arizona | 92 | 67 | 8 - 1 |\n| dec 13 / 05 | college park | coppin state | 69 | 38 | 9 - 1 |\n| dec 22 / 05 | fairfax , virginia | george mason | 70 | 33 | 10 - 1 |\n| dec 29 / 05 | college park | central connecticut state | 94 | 57 | 11 - 1 |\n| dec 29 / 05 | college park | furman | 81 | 86 | 11 - 2 |\n| dec 30 / 05 | college park | furman | 92 | 58 | 12 - 2 |\n| jan 2 / 06 | college park | manhattan | 82 | 49 | 13 - 2 |\n| jan 5 / 06 | chestnut hill , massachusetts | boston college | 67 | 64 | 14 - 2 |\n| jan 8 / 06 | college park | duke | 68 | 86 | 14 - 3 |\n| jan 16 / 06 | college park | florida state | 75 | 57 | 15 - 3 |\n| jan 20 / 06 | charlottesville , virginia | virginia | 84 | 74 | 16 - 3 |\n| jan 23 / 06 | blacksburg , virginia | virginia tech | 68 | 62 | 17 - 3 |\n| jan 26 / 06 | college park | georgia tech | 79 | 71 | 18 - 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_60836", + "image": "table_instructV/images/TabFact_2-17631598-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| pick | brand (to) | employee (real name) | role | brand (from) |\n| --- | --- | --- | --- | --- |\n| 12 | ecw | mark henry | male wrestler | smackdown |\n| 13 | raw | jamie noble ( james gibson ) | male wrestler | smackdown |\n| 14 | smackdown | trevor murdoch ( william mueller ) | male wrestler | raw |\n| 15 | smackdown | big daddy v ( nelson frazier , jr ) | male wrestler | ecw |\n| 16 | raw | deuce ( jimmy reiher , jr ) | male wrestler | smackdown |\n| 17 | smackdown | dh smith (harry smith ) | male wrestler | raw |\n| 18 | ecw | hornswoggle ( dylan postl ) | male wrestler | smackdown |\n| 19 | ecw | super crazy ( francisco islas ) | male wrestler | raw |\n| 20 | raw | chuck palumbo | male wrestler | smackdown |\n| 21 | smackdown | brian kendrick | male wrestler | raw |\n| 22 | raw | matt striker ( matthew kaye ) | male wrestler | ecw |\n| 23 | smackdown | maria ( maria kanellis ) | diva | raw |\n| 24 | smackdown | shelton benjamin | male wrestler | ecw |\n| 25 | ecw | finlay ( dave finlay ) | male wrestler | smackdown |\n| 26 | smackdown | carlito ( carly colã cubicn ) | male wrestler | raw |\n| 27 | raw | layla ( layla el ) | diva | ecw |\n| 28 | raw | kofi kingston ( kofi sarkodie - mensah ) | male wrestler | ecw |" + } + ] + }, + { + "id": "table_recognition_train_item_31011", + "image": "table_instructV/images/TABMWP_3090.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 5 | 14 |\n| 6 | 8 |\n| 7 | 2 |" + } + ] + }, + { + "id": "table_recognition_train_item_57906", + "image": "table_instructV/images/TabFact_1-27733258-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 18 | december 2 | golden state | w 107 - 101 (ot) | jason richardson (25) | channing frye (10) | steve nash (16) | oracle arena 18328 | 9 - 9 |\n| 19 | december 3 | indiana | w 105 - 97 (ot) | channing frye (29) | goran dragić (6) | steve nash (11) | us airways center 18422 | 10 - 9 |\n| 20 | december 5 | washington | w 125 - 108 (ot) | hakim warrick (26) | earl barron (8) | steve nash (17) | us airways center 17430 | 11 - 9 |\n| 21 | december 7 | portland | l 99 - 106 (ot) | steve nash (24) | grant hill (8) | steve nash (14) | rose garden 20151 | 11 - 10 |\n| 22 | december 8 | memphis | l 98 - 104 (ot) | goran dragić (17) | josh childress , channing frye , hedo türkoğlu (7) | steve nash (7) | us airways center 16288 | 11 - 11 |\n| 23 | december 10 | portland | l 94 - 101 (ot) | steve nash (24) | channing frye , steve nash (7) | steve nash (5) | us airways center 17284 | 11 - 12 |\n| 24 | december 15 | minnesota | w 128 - 122 (ot) | jason richardson (29) | channing frye (9) | steve nash (19) | us airways center 16997 | 12 - 12 |\n| 25 | december 17 | dallas | l 91 - 106 (ot) | hakim warrick (15) | channing frye , hakim warrick (14) | goran dragić (10) | american airlines center 20406 | 12 - 13 |\n| 26 | december 19 | oklahoma city | w 113 - 110 (ot) | grant hill (30) | grant hill (11) | steve nash (10) | oklahoma city arena 18203 | 13 - 13 |\n| 27 | december 20 | san antonio | l 110 - 118 (ot) | jared dudley (27) | robin lopez (7) | steve nash (10) | at&t center 18581 | 13 - 14 |\n| 28 | december 23 | miami | l 83 - 95 (ot) | jared dudley (33) | jared dudley (12) | steve nash (18) | us airways center 18422 | 13 - 15 |\n| 29 | december 26 | la clippers | l 103 - 108 (ot) | mickaël piétrus (25) | grant hill (7) | steve nash (15) | staples center 19060 | 13 - 16 |\n| 30 | december 29 | philadelphia | l 110 - 123 (ot) | steve nash (23) | marcin gortat (6) | steve nash (15) | us airways center 18422 | 13 - 17 |" + } + ] + }, + { + "id": "table_recognition_train_item_49750", + "image": "table_instructV/images/TAT-QA_55a5910d-dd58-48e3-80b5-d9b9729be21c.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| | | Year Ended June 30, | | | |\n| --- | --- | --- | --- | --- | --- |\n| | 2019 | 2018 | 2017 | 2016 | 2015 |\n| Consolidated Statements of Operations Data: | | | | | |\n| Net revenues | $995,789 | $983,142 (2) | $607,084 | $519,834 | $552,940 |\n| Operating income (loss) (1) | $(14,726) | $(38,210) | $6,040 | $(30,029) | $(62,994) |\n| Net loss | $(25,853) | $(46,792) | $(1,744) | $(36,363) | $(71,643) |\n| Net loss per share – basic | $(0.22) | $(0.41) | $(0.02) | $(0.35) | $(0.72) |\n| Net loss per share – diluted | $(0.22) | $(0.41) | $(0.02) | $(0.35) | $(0.72) |\n| Shares used in per share calculation – basic | 117,954 | 114,221 | 108,273 | 103,074 | 99,000 |\n| Shares used in per share calculation – diluted | 117,954 | 114,221 | 108,273 | 103,074 | 99,000 |" + } + ] + }, + { + "id": "table_recognition_train_item_104197", + "image": "table_instructV/images/ToTTo_train_table_17620.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Name | Dates active | Peak classification | Sustained wind speeds | Pressure | Areas affected | Damage (USD) | Deaths | Refs |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Unnamed | May 23 – 24, 1771 | Tropical storm | ≥40 mph (65 km/h) | Not Specified | Cuba | N/A | None | |\n| Unnamed | May 25 – 26, 1779 | Tropical storm | ≥40 mph (65 km/h) | Not Specified | Cuba | N/A | None | |\n| Unnamed | May 28, 1794 | Tropical storm | ≥40 mph (65 km/h) | Not Specified | Cuba | N/A | None | |\n| Unnamed | December 13 – 22, 1822 | Category 1 hurricane | ≥75 mph (120 km/h) | Not Specified | Eastern Caribbean Sea | N/A | None | |\n| Unnamed | May 28 – June 5, 1825 | ≥Category 1 hurricane | ≥75 mph (120 km/h) | Not Specified | Cuba, United States East Coast | N/A | 7 | |\n| Unnamed | May 20 – 21, 1838 | Tropical storm | ≥40 mph (65 km/h) | Not Specified | Jamaica | N/A | None | |\n| \"Amanda\" | May 24 – 29, 1863 | Category 2 hurricane | 105 mph (165 km/h) | 975 hPa (28.79 inHg) | Florida | N/A | 110 | |\n| #1 | May 30, 1865 | Tropical storm | 60 mph (95 km/h) | Not Specified | Caribbean Sea | N/A | None | |\n| #12 | November 25 – December 2, 1878 | Tropical storm | 70 mph (115 km/h) | Not Specified | Lesser Antilles, Puerto Rico, Jamaica | N/A | None | |\n| #1 | May 15 – 18, 1887 | Tropical storm | 70 mph (115 km/h) | ≤997 hPa (29.44 inHg) | Atlantic Canada | N/A | None | |\n| #2 | May 17 – 21, 1887 | Tropical storm | 60 mph (95 km/h) | ≤1002 hPa (29.59 inHg) | Jamaica, Cuba, Bahamas | N/A | None | |\n| #17 | November 27 – December 4, 1887 | Category 1 hurricane | 80 mph (130 km/h) | Not Specified | Bahamas | N/A | None | |\n| #18 | December 4 – 8, 1887 | Category 1 hurricane | 80 mph (130 km/h) | Not Specified | Central Atlantic Ocean | N/A | None | |\n| #19 | December 7 – 12, 1887 | Tropical storm | 60 mph (95 km/h) | Not Specified | Lesser Antilles, Colombia, Nicaragua | N/A | None | |\n| #1 | May 16 – 21, 1889 | Category 1 hurricane | 80 mph (130 km/h) | Not Specified | Western Atlantic Ocean | N/A | None | |\n| #1 | May 27 – 29, 1890 | Tropical storm | 60 mph (95 km/h) | Not Specified | Cuba | N/A | 4 | |\n| Unnamed | May 1 – 6, 1899 | Tropical depression | 25 mph (35 km/h) | 1010 hPa (29.83 inHg) | Haiti, Cuba | N/A | None | |\n| #1 | March 6 – 9, 1908 | Category 2 hurricane | 100 mph (160 km/h) | ≤991 hPa (29.27 inHg) | Lesser Antilles | N/A | None | |\n| #2 | May 24 – 31, 1908 | Category 1 hurricane | 75 mph (120 km/h) | 989 hPa (29.21 inHg) | North Carolina | N/A | None | |\n| Unnamed | February 19 – 21, 1911 | Tropical depression | 35 mph (55 km/h) | 1009 hPa (29.80 inHg) | Central Atlantic Ocean | N/A | None | |\n| Unnamed | May 22 – 24, 1911 | Tropical depression | 35 mph (55 km/h) | Not Specified | Central Atlantic Ocean | N/A | None | |\n| Unnamed | December 11 – 13, 1911 | Tropical depression | 35 mph (55 km/h) | 1005 hPa (29.68 inHg) | Haiti, Cuba | N/A | None | |\n| Unnamed | April 14 – 16, 1912 | Tropical depression | 35 mph (55 km/h) | Not Specified | Central Atlantic | N/A | None | |\n| Unnamed | May 5 – 8, 1913 | Tropical depression | 35 mph (55 km/h) | 1003 hPa (29.62 inHg) | Northern Atlantic Ocean | N/A | None | |\n| Unnamed | April 29 – May 2, 1915 | Tropical depression | 35 mph (55 km/h) | 1003 hPa (29.62 inHg) | Central Atlantic Ocean | N/A | None | |\n| #1 | May 13 – 16, 1916 | Tropical storm | 45 mph (75 km/h) | 1004 hPa (29.65 inHg) | Cuba, Florida | N/A | None | |\n| Unnamed | May 12 – 15, 1922 | Tropical depression | 35 mph (55 km/h) | 1008 hPa (29.77 inHg) | Nicaragua | N/A | None | |\n| #4 | November 27 – December 1, 1925 | Tropical storm | 65 mph (100 km/h) | 995 hPa (29.39 inHg) | Cuba, United States East Coast Bermuda, Azores | $3 million | 73 | |\n| #1 | May 5 – 11, 1932 | Tropical storm | 65 mph (100 km/h) | 995 hPa (29.39 inHg) | Dominican Republic | N/A | None | |\n| #1 | May 14 – 19, 1933 | Tropical storm | 50 mph (85 km/h) | 1001 hPa (29.56 inHg)) | Yucatán Peninsula | N/A | None | |\n| #1 | May 15 – 18, 1935 | Tropical storm | 60 mph (95 km/h) | 1003 hPa (29.62 inHg) | Hispaniola | N/A | None | |\n| Unnamed | May 21 – 26, 1936 | Tropical depression | 35 mph (55 km/h) | Not Specified | Texas | N/A | None | |\n| #17 | December 4 – 6, 1936 | Tropical storm | 65 mph (100 km/h) | 996 hPa (29.41 inHg) | Eastern Atlantic Ocean | N/A | None | |\n| #1 | January 3 – 6, 1938 | Category 1 hurricane | 80 mph (130 km/h) | 992 hPa (29.29 inHg) | Eastern Atlantic Ocean | N/A | None | |\n| #1 | May 19 – 24, 1940 | Tropical storm | 65 mph (100 km/h) | <996 hPa (29.41 inHg) | Western Atlantic Ocean | N/A | None | |\n| #1 | May 22 – 28, 1948 | Tropical storm | 50 mph (85 km/h) | 1004 hPa (29.65 inHg) | Dominican Republic | N/A | 80 | |\n| #1 | January 4 – 9, 1951 | Tropical storm | 65 mph (100 km/h) | 997 hPa (29.44 inHg) | Western Atlantic Ocean | N/A | None | |\n| Able | May 16 – 24, 1951 | Category 1 hurricane | 90 mph (150 km/h) | 973 hPa (28.73 inHg) | Bahamas, North Carolina | N/A | None | |\n| Depression | May 17 – 18, 1951 | Tropical depression | 35 mph (55 km/h) | 1008 hPa (29.77 inHg) | Western Atlantic Ocean | N/A | None | |\n| #12 | December 7 – 10, 1951 | Category 1 hurricane | 80 mph (130 km/h) | 995 hPa (29.39 inHg) | Azores | N/A | None | |\n| #1 | February 2 – 3, 1952 | Tropical storm | 70 mph (110 km/h) | 990 hPa (29.24 inHg)) | Florida | N/A | None | |\n| Alice | May 25 – June 7, 1953 | Tropical storm | 70 mph (115 km/h) | 994 hPa (29.36 inHg) | Cuba, Florida | N/A | 6 | |\n| Irene | December 7 – 9, 1953 | Tropical storm | 65 mph (100 km/h) | ≤999 hPa (29.50 inHg) | Central Atlantic Ocean | N/A | None | |\n| Depression | December 13 – 14, 1953 | Tropical depression | 35 mph (55 km/h) | Not Specified | Lesser Antilles | N/A | None | |\n| Depression | January 27 – 28, 1954 | Subtropical depression | 35 mph (55 km/h) | 1010 hPa (29.83 inHg) | Central Atlantic Ocean | N/A | None | |\n| Depression | May 19 – 25, 1954 | Subtropical depression | 35 mph (55 km/h) | 1010 hPa (29.83 inHg) | Northeastern Atlantic Ocean | N/A | None | |\n| #1 | May 28 – 30, 1954 | Tropical storm | 50 mph (85 km/h) | ≤997 hPa (29.44 inHg)) | North Carolina | N/A | None | |\n| Alice | December 30, 1954 – January 6, 1955 | Category 1 hurricane | 90 mph (150 km/h) | 980 hPa (28.94 inHg) | Lesser Antilles | $623 thousand | None | |\n| #1 | May 25 – 27, 1958 | Tropical storm | 60 mph (95 km/h) | 999 hPa (29.50 inHg) | Western Atlantic Ocean | N/A | None | |\n| Arlene | May 28 – 31, 1959 | Tropical storm | 65 mph (100 km/h) | 993 hPa (29.32 inHg) | United States Gulf Coast | $500 thousand | 1 | |\n| #1 | May 29 – June 2, 1969 | Tropical depression | 35 mph (55 km/h) | Not Specified | Western Atlantic Ocean | N/A | None | |\n| #2 | May 29 – 30, 1969 | Tropical depression | 35 mph (55 km/h) | Not Specified | Cuba | N/A | None | |\n| Alma | May 17 – 26, 1970 | Category 1 hurricane | 80 mph (130 km/h) | 993 hPa (29.33 inHg) | Cuba, Florida | N/A | 8 | |\n| Alpha | May 23 – 29, 1972 | Subtropical storm | 70 mph (115 km/h) | 991 hPa (29.27 inHg) | Southeastern United States | $100 thousand | 2 | |\n| #1 | April 18 – 21, 1973 | Tropical depression | 30 mph (45 km/h) | Not Specified | Central Atlantic Ocean | None | None | |\n| #2 | May 2 – 5, 1973 | Tropical depression | 30 mph (45 km/h) | Not Specified | Central Atlantic Ocean | None | None | |\n| #3 | May 19 – 20, 1974 | Tropical depression | 30 mph (45 km/h) | Not Specified | Belize, Mexico, Cuba Jamaica, United States Gulf Coast | N/A | None | |\n| #23 | December 9 – 13, 1975 | Subtropical storm | 70 mph (115 km/h) | 985 hPa (29.09 inHg) | Northeast Atlantic Ocean | N/A | None | |\n| #1 | May 21 – 25, 1976 | Subtropical storm | 50 mph (85 km/h) | 994 hPa (29.36 inHg) | Florida | N/A | None | |\n| #1 | January 18 – 23, 1978 | Subtropical storm | 45 mph (75 km/h) | 1002 hPa (29.59 inHg) | Central Atlantic Ocean | N/A | None | |\n| Arlene | May 6 – 9, 1981 | Tropical storm | 60 mph (95 km/h) | 999 hPa (29.50 inHg) | Cuba, Bahamas | N/A | None | |\n| Lili | December 12 – 24, 1984 | Category 1 hurricane | 80 mph (130 km/h) | 980 hPa (28.94 inHg) | Hispaniola | N/A | None | |\n| #14 | December 7 – 9, 1985 | Tropical depression | 35 mph (55 km/h) | Not Specified | Western Caribbean Sea | N/A | None | |\n| #1 | May 24 – June 1, 1987 | Tropical depression | 35 mph (55 km/h) | 1011 hPa (29.86 inHg) | Bahamas | N/A | None | |\n| #1 | May 31 – June 2, 1988 | Tropical depression | 35 mph (55 km/h) | 1004 hPa (29.65 inHg) | Cuba | N/A | 37 | |\n| Karen | November 28 – December 4, 1989 | Tropical storm | 60 mph (95 km/h) | 1000 hPa (29.53 inHg) | Cuba | N/A | None | |\n| #1 | May 24 – 27, 1990 | Tropical depression | 35 mph (55 km/h) | 1007 hPa (29.74 inHg) | Cuba, Florida | None | None | |\n| One | April 21 – 24, 1992 | Subtropical storm | 50 mph (85 km/h) | 1002 hPa (29.59 inHg) | Central Atlantic Ocean | None | None | |\n| #1 | May 31 – June 3, 1993 | Tropical depression | 35 mph (55 km/h) | 999 hPa (29.50 inHg) | Cuba, Florida | None | 20 | |\n| Nicole | November 24 – December 1, 1998 | Category 1 hurricane | 85 mph (140 km/h) | 979 hPa (28.91 inHg) | Northeastern Atlantic Ocean | None | None | |\n| Olga | November 24 – December 6, 2001 | Category 1 hurricane | 90 mph (150 km/h) | 973 hPa (28.73 inHg) | Western Atlantic Ocean | None | None | |\n| Ana | April 20 – 24, 2003 | Tropical storm | 60 mph (95 km/h) | 994 hPa (29.36 inHg) | Florida | None | 2 | |\n| Odette | December 4 – 7, 2003 | Tropical storm | 65 mph (100 km/h) | 993 hPa (29.33 inHg) | Hispaniola | $8 million | 10 | |\n| Peter | December 7 – 11, 2003 | Tropical storm | 70 mph (115 km/h) | 990 hPa (29.24 inHg) | Eastern Atlantic Ocean | None | None | |\n| Otto | November 29 – December 3, 2004 | Tropical storm | 50 mph (85 km/h) | 995 hPa (29.39 inHg) | Central Atlantic Ocean | None | None | |\n| Epsilon | November 29 – December 8, 2005 | Category 1 hurricane | 85 mph (140 km/h) | 981 hPa (28.97 inHg) | Central Atlantic Ocean | None | None | |\n| Zeta | December 30, 2005 – January 7, 2006 | Tropical storm | 65 mph (100 km/h) | 994 hPa (29.36 inHg) | Central Atlantic Ocean | None | None | |\n| Andrea | May 9 – 11, 2007 | Subtropical storm | 60 mph (95 km/h) | 1001 hPa (29.56 inHg) | Southeast United States coast | Minimal | 6 | |\n| Olga | December 11 – 12, 2007 | Tropical storm | 60 mph (95 km/h) | 1003 hPa (29.62 inHg) | Greater Antilles | $45 million | 40 | |\n| Arthur | May 31 – June 2, 2008 | Tropical storm | 45 mph (75 km/h) | 1004 hPa (29.65 inHg) | Belize, Yucatán Peninsula | $78 million | 9 | |\n| #1 | May 28 – 29, 2009 | Tropical depression | 35 mph (55 km/h) | 1006 hPa (29.71 inHg) | Western Atlantic Ocean | None | None | |\n| Alberto | May 19 – 22, 2012 | Tropical storm | 60 mph (95 km/h) | 995 hPa (29.39 inHg) | South Carolina, North Carolina, Georgia | Minimal | None | |\n| Beryl | May 26 – 30, 2012 | Tropical storm | 70 mph (115 km/h) | 992 hPa (29.29 inHg) | Florida, Georgia, Cuba, The Bahamas | $148 thousand | 3 | |\n| Unnamed | December 5 – 7, 2013 | Subtropical storm | 50 mph (85 km/h) | 997 hPa (29.44 inHg) | Azores | None | None | |\n| Ana | May 8 – 11, 2015 | Tropical storm | 60 mph (95 km/h) | 998 hPa (29.47 inHg) | Southeastern United States | Minimal | 2 | |\n| Alex | January 12 – 15, 2016 | Category 1 hurricane | 85 mph (140 km/h) | 981 hPa (28.7 inHg) | Bermuda, Azores | Minimal | 1 | |\n| Bonnie | May 27 – June 4, 2016 | Tropical storm | 45 mph (75 km/h) | 1006 hPa (29.71 inHg) | Southeastern United States, The Bahamas | $640 thousand | 2 | |\n| Arlene | April 19 – 21, 2017 | Tropical storm | 50 mph (85 km/h) | 990 hPa (29.23 inHg) | Central Atlantic Ocean | None | None | |\n| Alberto | May 25 – 31, 2018 | Tropical storm | 65 mph (100 km/h) | 990 hPa (29.23 inHg) | Yucatán Peninsula, Cuba, Southeastern United States | $125 million | 18 | |" + } + ] + }, + { + "id": "table_recognition_train_item_65210", + "image": "table_instructV/images/TabFact_1-2453243-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| no in series | no in season | title | directed by | written by | original air date | production code |\n| --- | --- | --- | --- | --- | --- | --- |\n| 7 | 1 | the bet | steve hoefer | george doty iv | march 14 , 2004 | 202 |\n| 8 | 2 | guitar | virgil fabian | dan schneider | march 21 , 2004 | 201 |\n| 9 | 3 | movie job | virgil fabian | dan schneider | march 28 , 2004 | 203 |\n| 10 | 4 | football | virgil fabian | story by : barry o'brien teleplay by : dan schneider | april 4 , 2004 | 205 |\n| 11 | 5 | pool shark | steve hoefer | anthony del broccolo | april 18 , 2004 | 204 |\n| 12 | 6 | smart girl | roger christiansen | dan schneider | april 25 , 2004 | 207 |\n| 13 | 7 | little diva | virgil fabian | eric friedman | may 2 , 2004 | 208 |\n| 14 | 8 | blues brothers | fred savage | craig digregorio | september 12 , 2004 | 206 |\n| 15 | 9 | driver 's license | virgil fabian | dan schneider | september 12 , 2004 | 209 |\n| 16 | 10 | number 1 fan | virgil fabian | dan schneider | september 19 , 2004 | 211 |\n| 17 | 11 | mean teacher | steve hoefer | george doty iv | september 26 , 2004 | 210 |\n| 18 | 12 | the gary grill | virgil fabian | anthony del broccolo | october 17 , 2004 | 212 |\n| 19 | 13 | drew & jerry | steve hoefer | dan schneider | october 24 , 2004 | 213 |" + } + ] + }, + { + "id": "table_recognition_train_item_31828", + "image": "table_instructV/images/TABMWP_11573.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 4 | 12 |\n| 2 | 9 |\n| 9 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_49520", + "image": "table_instructV/images/TAT-QA_8363e1b1-8e3e-4009-8df4-24f591433791.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| | 2019 | 2018 | CHANGE | % CHANGE |\n| --- | --- | --- | --- | --- |\n| Blended ABPU ($/month) (1) | 68.32 | 67.76 | 0.56 | 0.8% |\n| Gross activations | 2,117,517 | 1,954,792 | 162,725 | 8.3% |\n| Postpaid | 1,568,729 | 1,615,764 | (47,035) | (2.9%) |\n| Prepaid | 548,788 | 339,028 | 209,760 | 61.9% |\n| Net activations (losses) | 515,409 | 479,811 | 35,598 | 7.4% |\n| Postpaid | 401,955 | 447,682 | (45,727) | (10.2%) |\n| Prepaid | 113,454 | 32,129 | 81,325 | 253.1% |\n| Blended churn % (average per month) | 1.39% | 1.32% | | (0.07) pts |\n| Postpaid | 1.13% | 1.16% | | 0.03 pts |\n| Prepaid | 4.44% | 3.17% | | (1.27) pts |\n| Subscribers (2) (3) | 9,957,962 | 9,610,482 | 347,480 | 3.6% |\n| Postpaid (2) (3) | 9,159,940 | 8,830,216 | 329,724 | 3.7% |\n| Prepaid (2) | 798,022 | 780,266 | 17,756 | 2.3% |" + } + ] + }, + { + "id": "table_recognition_train_item_66332", + "image": "table_instructV/images/TabFact_1-11964047-9.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| | date | visitor | score | home | leading scorer | attendance | record | streak |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 60 | march 2 | portland trail blazers | l 104 - 110 | golden state warriors | jackson : 29 | oracle arena 19596 | 31 - 29 | l1 |\n| 61 | march 4 | phoenix suns | l 97 - 92 | portland trail blazers | roy : 25 | rose garden 20595 | 31 - 30 | l2 |\n| 62 | march 7 | portland trail blazers | w 103 - 101 | milwaukee bucks | aldridge : 29 | bradley center 15537 | 32 - 30 | w1 |\n| 63 | march 8 | portland trail blazers | w 120 - 114 ot | new york knicks | robinson : 45 | madison square garden 19763 | 33 - 30 | w2 |\n| 64 | march 10 | portland trail blazers | l 80 - 88 | cleveland cavaliers | aldridge : 25 | quicken loans arena 20213 | 33 - 31 | l1 |\n| 65 | march 11 | portland trail blazers | w 103 - 96 | minnesota timberwolves | roy : 27 | target center 13433 | 34 - 31 | w1 |\n| 66 | march 13 | portland trail blazers | l 85 - 96 | sacramento kings | artest : 22 | arco arena 13333 | 34 - 32 | l1 |\n| 67 | march 15 | minnesota timberwolves | w 96 - 107 | portland trail blazers | aldridge : 26 | rose garden 20079 | 35 - 32 | w1 |\n| 68 | march 18 | phoenix suns | l 111 - 98 | portland trail blazers | aldridge : 31 | rose garden 20580 | 35 - 33 | l1 |\n| 69 | march 21 | los angeles clippers | w 102 - 107 | portland trail blazers | mobley : 24 | rose garden 19980 | 36 - 33 | w1 |\n| 70 | march 22 | portland trail blazers | w 83 - 72 | los angeles clippers | roy : 23 | staples center 18248 | 37 - 33 | w2 |\n| 71 | march 24 | portland trail blazers | l 84 - 97 | seattle supersonics | durant : 23 | keyarena 11292 | 37 - 34 | l1 |\n| 72 | march 25 | washington wizards | w 82 - 102 | portland trail blazers | webster : 23 | rose garden 19980 | 38 - 34 | w1 |\n| 73 | march 27 | portland trail blazers | l 95 - 111 | golden state warriors | jackson : 24 | oracle arena 19732 | 38 - 35 | l1 |" + } + ] + }, + { + "id": "table_recognition_train_item_30876", + "image": "table_instructV/images/TABMWP_1541.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $55 | 8,600 | 14,600 |\n| $125 | 8,200 | 16,500 |\n| $195 | 7,800 | 18,400 |\n| $265 | 7,400 | 20,300 |\n| $335 | 7,000 | 22,200 |" + } + ] + }, + { + "id": "table_recognition_train_item_33423", + "image": "table_instructV/images/TABMWP_29173.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $450 | 18,800 | 10,300 |\n| $580 | 15,700 | 10,400 |\n| $710 | 12,600 | 10,500 |\n| $840 | 9,500 | 10,600 |\n| $970 | 6,400 | 10,700 |" + } + ] + }, + { + "id": "table_recognition_train_item_111847", + "image": "table_instructV/images/Rotowire_train_table_266.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Mavericks | Dallas | 105 | 23 | 23 | 28 | 31 | 16 | 47 | 15 | 42 | 89 | 42 | 28 | 36 | | | | |\n| Nets | Brooklyn | 96 | 26 | 23 | 24 | 23 | 23 | 35 | 12 | 44 | 83 | 29 | 11 | 53 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Mavericks | | | | | | | | | | | | | | | | | | |\n| Harrison Barnes | 37 | 21 | 6 | 0 | 7-15 | 47% | 2-3 | 67% | 5-5 | 100% | 0 | 3 | 0 | 1 | 5 | 1 | F | Dallas |\n| Seth Curry | 32 | 18 | 6 | 4 | 6-11 | 55% | 3-4 | 75% | 3-3 | 100% | 0 | 2 | 0 | 1 | 5 | 0 | G | Dallas |\n| Yogi Ferrell | 34 | 17 | 2 | 2 | 5-12 | 42% | 3-5 | 60% | 4-4 | 100% | 1 | 1 | 0 | 1 | 1 | 3 | G | Dallas |\n| Dirk Nowitzki | 23 | 13 | 3 | 0 | 5-12 | 42% | 3-8 | 38% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 3 | C | Dallas |\n| Wesley Matthews | 33 | 9 | 7 | 3 | 2-11 | 18% | 1-6 | 17% | 4-4 | 100% | 2 | 3 | 0 | 0 | 7 | 3 | F | Dallas |\n| J.J. Barea | 14 | 9 | 1 | 3 | 3-6 | 50% | 1-3 | 33% | 2-2 | 100% | 0 | 3 | 0 | 0 | 1 | 1 | N/A | Dallas |\n| Dwight Powell | 20 | 7 | 8 | 1 | 1-2 | 50% | 0-0 | 0% | 5-6 | 83% | 0 | 1 | 0 | 1 | 7 | 3 | N/A | Dallas |\n| Devin Harris | 15 | 5 | 1 | 3 | 2-3 | 67% | 0-1 | 0% | 1-2 | 50% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Dallas |\n| Dorian Finney-Smith | 15 | 3 | 4 | 0 | 1-3 | 33% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 2 | 2 | 0 | N/A | Dallas |\n| Salah Mejri | 14 | 3 | 9 | 0 | 1-1 | 100% | 0-0 | 0% | 1-2 | 50% | 1 | 1 | 0 | 1 | 8 | 2 | N/A | Dallas |\n| Manny Harris | 2 | 0 | 0 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Dallas |\n| Jarrod Uthoff | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Dallas |\n| Nicolas Brussino | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| Nets | | | | | | | | | | | | | | | | | | |\n| Isaiah Whitehead | 25 | 24 | 0 | 1 | 8-12 | 67% | 3-6 | 50% | 5-5 | 100% | 0 | 3 | 0 | 0 | 0 | 4 | N/A | Brooklyn |\n| Jeremy Lin | 27 | 18 | 5 | 3 | 4-9 | 44% | 1-3 | 33% | 9-10 | 90% | 2 | 2 | 0 | 1 | 4 | 3 | G | Brooklyn |\n| Trevor Booker | 27 | 15 | 7 | 3 | 6-14 | 43% | 1-2 | 50% | 2-5 | 40% | 0 | 0 | 0 | 2 | 5 | 2 | N/A | Brooklyn |\n| Quincy Acy | 23 | 12 | 4 | 1 | 5-7 | 71% | 2-2 | 100% | 0-0 | 0% | 1 | 1 | 0 | 0 | 4 | 1 | C | Brooklyn |\n| Sean Kilpatrick | 24 | 9 | 2 | 5 | 3-11 | 27% | 1-8 | 13% | 2-2 | 100% | 2 | 3 | 0 | 0 | 2 | 4 | N/A | Brooklyn |\n| Rondae Hollis-Jefferson | 18 | 4 | 5 | 0 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 1 | 3 | 1 | 0 | 5 | 3 | F | Brooklyn |\n| Justin Hamilton | 15 | 4 | 1 | 1 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Brooklyn |\n| KJ McDaniels | 2 | 3 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 1-1 | 100% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Brooklyn |\n| Andrew Nicholson | 13 | 3 | 6 | 0 | 1-4 | 25% | 1-3 | 33% | 0-0 | 0% | 1 | 0 | 0 | 0 | 6 | 4 | N/A | Brooklyn |\n| Caris LeVert | 22 | 2 | 3 | 2 | 1-5 | 20% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 1 | F | Brooklyn |\n| Spencer Dinwiddie | 22 | 2 | 0 | 3 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 2 | 0 | 1 | 0 | 0 | 5 | N/A | Brooklyn |\n| Randy Foye | 23 | 0 | 1 | 4 | 0-6 | 0% | 0-4 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | G | Brooklyn |\n| Brook Lopez | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |" + } + ] + }, + { + "id": "table_recognition_train_item_112721", + "image": "table_instructV/images/Rotowire_train_table_703.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Magic | Orlando | 96 | 27 | 26 | 16 | 27 | 20 | 45 | 11 | 38 | 79 | 33 | 0 | 1 | | | | |\n| Heat | Miami | 108 | 23 | 27 | 30 | 28 | 27 | 52 | 10 | 49 | 63 | 25 | 1 | 0 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Evan Fournier | 39 | 20 | 4 | 4 | 7-19 | 37% | 2-6 | 33% | 4-7 | 57% | 2 | 1 | 0 | 1 | 3 | 3 | G | Orlando |\n| Nikola Vucevic | 36 | 17 | 14 | 3 | 7-14 | 50% | 0-0 | 0% | 3-4 | 75% | 2 | 1 | 0 | 5 | 9 | 3 | C | Orlando |\n| Elfrid Payton | 38 | 16 | 4 | 5 | 4-12 | 33% | 0-2 | 0% | 8-8 | 100% | 0 | 4 | 2 | 2 | 2 | 1 | G | Orlando |\n| Serge Ibaka | 36 | 14 | 8 | 0 | 6-17 | 35% | 2-4 | 50% | 0-0 | 0% | 0 | 0 | 1 | 2 | 6 | 3 | F | Orlando |\n| Aaron Gordon | 35 | 12 | 8 | 4 | 5-12 | 42% | 2-3 | 67% | 0-0 | 0% | 1 | 3 | 1 | 2 | 6 | 1 | F | Orlando |\n| D.J. Augustin | 17 | 7 | 1 | 1 | 2-3 | 67% | 0-1 | 0% | 3-3 | 100% | 0 | 1 | 0 | 0 | 1 | 2 | N/A | Orlando |\n| Jeff Green | 25 | 7 | 3 | 1 | 2-7 | 29% | 0-2 | 0% | 3-4 | 75% | 0 | 1 | 0 | 1 | 2 | 1 | N/A | Orlando |\n| Mario Hezonja | 14 | 3 | 3 | 2 | 1-5 | 20% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 2 | 1 | 1 | N/A | Orlando |\n| C.J. Watson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| CJ Wilcox | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Bismack Biyombo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Arinze Onuaku | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Damjan Rudez | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Hassan Whiteside | 31 | 18 | 14 | 1 | 9-16 | 56% | 0-0 | 0% | 0-4 | 0% | 0 | 1 | 4 | 4 | 10 | 3 | C | Miami |\n| Goran Dragic | 29 | 16 | 6 | 6 | 7-15 | 47% | 0-1 | 0% | 2-2 | 100% | 0 | 3 | 0 | 3 | 3 | 4 | G | Miami |\n| Justise Winslow | 34 | 15 | 8 | 4 | 7-15 | 47% | 0-2 | 0% | 1-1 | 100% | 1 | 2 | 2 | 3 | 5 | 4 | F | Miami |\n| Tyler Johnson | 28 | 15 | 6 | 3 | 7-11 | 64% | 0-1 | 0% | 1-1 | 100% | 2 | 1 | 0 | 1 | 5 | 2 | N/A | Miami |\n| James Johnson | 25 | 11 | 2 | 6 | 4-8 | 50% | 2-4 | 50% | 1-1 | 100% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | Miami |\n| Willie Reed | 17 | 10 | 6 | 1 | 5-6 | 83% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 3 | 3 | 1 | N/A | Miami |\n| Dion Waiters | 34 | 9 | 6 | 4 | 4-13 | 31% | 0-1 | 0% | 1-2 | 50% | 0 | 1 | 0 | 1 | 5 | 2 | G | Miami |\n| Luke Babbitt | 19 | 8 | 1 | 2 | 3-10 | 30% | 2-6 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | F | Miami |\n| Rodney McGruder | 24 | 6 | 3 | 0 | 1-3 | 33% | 0-1 | 0% | 4-5 | 80% | 2 | 1 | 0 | 1 | 2 | 4 | N/A | Miami |\n| Udonis Haslem | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Josh Richardson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Josh McRoberts | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Derrick Williams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |" + } + ] + }, + { + "id": "table_recognition_train_item_115691", + "image": "table_instructV/images/Rotowire_train_table_2188.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Thunder | Oklahoma City | 97 | 31 | 25 | 18 | 23 | 21 | 45 | 16 | 48 | 50 | 46 | 4 | 12 | | | | |\n| Jazz | Utah | 82 | 29 | 19 | 14 | 20 | 11 | 38 | 19 | 44 | 61 | 19 | 5 | 11 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Reggie Jackson | 33 | 22 | 4 | 8 | 10-18 | 56% | 2-4 | 50% | 0-0 | 0% | 1 | 5 | 0 | 2 | 2 | 1 | G | Oklahoma City |\n| Jeremy Lamb | 24 | 21 | 4 | 2 | 7-8 | 88% | 3-3 | 100% | 4-5 | 80% | 3 | 3 | 1 | 0 | 4 | 6 | N/A | Oklahoma City |\n| Serge Ibaka | 35 | 20 | 8 | 3 | 9-19 | 47% | 2-4 | 50% | 0-1 | 0% | 1 | 0 | 4 | 1 | 7 | 3 | F | Oklahoma City |\n| Anthony Morrow | 32 | 12 | 3 | 1 | 4-11 | 36% | 4-9 | 44% | 0-0 | 0% | 1 | 1 | 0 | 0 | 3 | 2 | N/A | Oklahoma City |\n| Steven Adams | 24 | 6 | 11 | 2 | 3-9 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 5 | 6 | 2 | C | Oklahoma City |\n| Sebastian Telfair | 13 | 5 | 0 | 1 | 2-4 | 50% | 1-3 | 33% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Oklahoma City |\n| Andre Roberson | 25 | 5 | 0 | 0 | 2-4 | 50% | 0-2 | 0% | 1-2 | 50% | 2 | 0 | 0 | 0 | 0 | 3 | G | Oklahoma City |\n| Kendrick Perkins | 24 | 4 | 7 | 2 | 2-5 | 40% | 0-0 | 0% | 0-2 | 0% | 0 | 3 | 1 | 3 | 4 | 3 | N/A | Oklahoma City |\n| Nick Collison | 12 | 2 | 3 | 1 | 1-4 | 25% | 0-1 | 0% | 0-0 | 0% | 1 | 2 | 1 | 1 | 2 | 5 | N/A | Oklahoma City |\n| Ish Smith | 2 | 0 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Oklahoma City |\n| Lance Thomas | 17 | 0 | 3 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 1 | F | Oklahoma City |\n| Russell Westbrook | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Perry Jones III | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Jazz | | | | | | | | | | | | | | | | | | |\n| Gordon Hayward | 36 | 24 | 8 | 3 | 8-15 | 53% | 1-4 | 25% | 7-14 | 50% | 4 | 8 | 0 | 1 | 7 | 2 | F | Utah |\n| Alec Burks | 35 | 16 | 3 | 4 | 6-14 | 43% | 0-2 | 0% | 4-4 | 100% | 2 | 1 | 0 | 0 | 3 | 1 | G | Utah |\n| Enes Kanter | 33 | 16 | 7 | 0 | 6-13 | 46% | 0-1 | 0% | 4-5 | 80% | 2 | 3 | 0 | 3 | 4 | 5 | C | Utah |\n| Trey Burke | 31 | 12 | 2 | 4 | 5-10 | 50% | 2-5 | 40% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 2 | G | Utah |\n| Derrick Favors | 36 | 11 | 6 | 0 | 5-9 | 56% | 0-0 | 0% | 1-1 | 100% | 1 | 0 | 1 | 1 | 5 | 2 | F | Utah |\n| Dante Exum | 17 | 3 | 1 | 0 | 1-4 | 25% | 0-2 | 0% | 1-2 | 50% | 0 | 1 | 0 | 0 | 1 | 2 | N/A | Utah |\n| Joe Ingles | 25 | 0 | 3 | 0 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 1 | N/A | Utah |\n| Rudy Gobert | 13 | 0 | 6 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 1 | 2 | 4 | 1 | N/A | Utah |\n| Trevor Booker | 15 | 0 | 2 | 0 | 0-3 | 0% | 0-0 | 0% | 0-2 | 0% | 0 | 3 | 0 | 0 | 2 | 0 | N/A | Utah |\n| Ian Clark | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Steve Novak | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Jeremy Evans | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |" + } + ] + }, + { + "id": "table_recognition_train_item_102079", + "image": "table_instructV/images/ToTTo_train_table_8829.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | Image | Party | In office | Note |\n| --- | --- | --- | --- | --- |\n| Max Brauer | Max Brauer 1927 | SPD | 22 November 1946 – 2 December 1953 | |\n| Kurt Sieveking | Sieveking Kurt 7. CDU-Bundesparteitag.JPG | CDU | 2 December 1953 – 4 December 1957 | |\n| Max Brauer | Max Brauer 1927 | SPD | 4 December 1957 – 31 December 1960 | |\n| Paul Nevermann | | SPD | 1 January 1961 – 9 June 1965 | |\n| Herbert Weichmann | | SPD | 9 June 1965 – 9 June 1971 | |\n| Peter Schulz | - | SPD | 9 June 1971 – 4 November 1974 | |\n| Hans-Ulrich Klose | - | SPD | 12 November 1974 – 22 May 1981 | |\n| Klaus von Dohnanyi | - | SPD | 24 June 1981 – 8 June 1988 | |\n| Henning Voscherau | Henning Voscherau | SPD | 8 June 1988 – 8 October 1997 | |\n| Ortwin Runde | | SPD | 12 November 1997 – 31 October 2001 | |\n| Ole von Beust | Ole von Beust | CDU | 31 October 2001 – 25 August 2010 | |\n| Christoph Ahlhaus | Christoph Ahlhaus | CDU | 25 August 2010 – 7 March 2011 | |\n| Olaf Scholz | Olaf Scholz | SPD | 7 March 2011 – 13 March 2018 | |\n| Katharina Fegebank | - | Alliance '90/The Greens | 13 March 2018 - 28 March 2018 | (Acting) |\n| Peter Tschentscher | Peter Tschentscher | SPD | Since 28 March 2018 | |" + } + ] + }, + { + "id": "table_recognition_train_item_100280", + "image": "table_instructV/images/ToTTo_train_table_1162.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Climate data for Çankaya (1950 - 2014) |\n| --- |\n| Month | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Year |\n| Average high °C (°F) | 3.8 (38.8) | 6.6 (43.9) | 12.1 (53.8) | 17.4 (63.3) | 22.2 (72) | 26.4 (79.5) | 30.1 (86.2) | 29.6 (85.3) | 25.7 (78.3) | 19.7 (67.5) | 13.2 (55.8) | 6.4 (43.5) | 17.7 (63.9) |\n| Daily mean °C (°F) | −0.1 (31.8) | 2.2 (36) | 6.3 (43.3) | 11.1 (52) | 15.4 (59.7) | 19.0 (66.2) | 22.4 (72.3) | 21.8 (71.2) | 17.8 (64) | 12.5 (54.5) | 7.3 (45.1) | 2.6 (36.7) | 11.5 (52.7) |\n| Average low °C (°F) | −4.0 (24.8) | −2.1 (28.2) | 0.5 (32.9) | 4.8 (40.6) | 8.6 (47.5) | 11.6 (52.9) | 14.7 (58.5) | 14.0 (57.2) | 10.0 (50) | 5.3 (41.5) | 1.4 (34.5) | −1.1 (30) | 5.9 (42.6) |\n| Average precipitation mm (inches) | 42.2 (1.661) | 37.0 (1.457) | 38.8 (1.528) | 47.7 (1.878) | 49.7 (1.957) | 35.0 (1.378) | 14.5 (0.571) | 10.5 (0.413) | 19.2 (0.756) | 29.4 (1.157) | 32.6 (1.283) | 45.4 (1.787) | 402 (15.826) |\n| Average precipitation days | 12.2 | 11.0 | 10.9 | 11.9 | 12.5 | 8.6 | 3.7 | 2.8 | 3.9 | 6.8 | 8.5 | 11.8 | 104.6 |\n| Mean monthly sunshine hours | 77.5 | 98.9 | 161.2 | 189.0 | 260.4 | 306.0 | 350.3 | 328.6 | 276.0 | 198.4 | 132.0 | 71.3 | 2,449.6 |\n| Source: \"Resmi İstatistikler (İl ve İlçelerimize Ait İstatistiki Veriler)\". en.climate-data.org. Retrieved 21 May 2013. |" + } + ] + }, + { + "id": "table_recognition_train_item_66946", + "image": "table_instructV/images/TabFact_2-17672470-19.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| stage | winner | general classification | mountains classification | points classification | sprints classification | team classification |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | óscar freire | óscar freire | no award | óscar freire | no award | caisse d'epargne |\n| 2 | igor antón | igor antón | david loosli | kim kirchen | david loosli | team csc |\n| 3 | robbie mcewen | igor antón | david loosli | óscar freire | rené weissinger | team csc |\n| 4 | robbie mcewen | igor antón | david loosli | óscar freire | rené weissinger | team csc |\n| 5 | markus fothen | igor antón | david loosli | óscar freire | rené weissinger | gerolsteiner |\n| 6 | kim kirchen | kim kirchen | david loosli | óscar freire | rené weissinger | astana |\n| 7 | fabian cancellara | kim kirchen | maxim iglinsky | óscar freire | rené weissinger | astana |\n| 8 | roman kreuziger | roman kreuziger | maxim iglinsky | óscar freire | rené weissinger | astana |\n| 9 | fabian cancellara | roman kreuziger | maxim iglinsky | fabian cancellara | rené weissinger | astana |\n| final | final | roman kreuziger | maxim iglinsky | fabian cancellara | rené weissinger | astana |" + } + ] + }, + { + "id": "table_recognition_train_item_102763", + "image": "table_instructV/images/ToTTo_train_table_11553.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Event | Result | Venue | Date |\n| --- | --- | --- | --- |\n| 200 m | 23.76 s A (wind: +0.1 m/s) | Mexico Xalapa | 11 May 2008 |\n| 400 m | 51.25 s A | Mexico Xalapa | 5 May 2007 |\n| 800 m | 2:01.50 min | Puerto Rico Mayagüez | 17 Jul 2011 |" + } + ] + }, + { + "id": "table_recognition_train_item_104666", + "image": "table_instructV/images/ToTTo_train_table_19638.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Year | League | Regular Season | Playoffs | Avg. Attendance |\n| --- | --- | --- | --- | --- |\n| 2001 | WUSA | 3rd Place | Semi-finals | 5,724 |\n| 2002 | WUSA | 8th place | Did not qualify | 5,575 |\n| 2003 | WUSA | 5th place | Did not qualify | 4,249 |" + } + ] + }, + { + "id": "table_recognition_train_item_66148", + "image": "table_instructV/images/TabFact_2-1169552-20.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| iwcr no | name | wheel arrangement | sr no | year made | year withdrawn |\n| --- | --- | --- | --- | --- | --- |\n| 1 (1st) | pioneer | 2 - 2 - 2t | - | 1861 | 1904 |\n| 2 (1st) | precursor | 2 - 2 - 2t | - | 1861 | 1904 |\n| 1 (2nd) | - | 0 - 4 - 0t | - | 1906 | 1918 |\n| 2 (2nd) | - | 0 - 4 - 4t | - | 1895 | 1917 |\n| 3 | - | 0 - 4 - 2t | - | 1870 | 1918 |\n| 4 | cowes | 2 - 4 - 0t | w4 | 1876 | 1925 |\n| 5 | osborne | 2 - 4 - 0t | w5 | 1876 | 1926 |\n| 6 (1st) | newport | 2 - 2 - 2t | - | 1861 | 1895 |\n| 6 (2nd) | - | 4 - 4 - 0t | w6 | 1890 | 1926 |\n| 7 (1st) | - | 4 - 4 - 0t | - | 1861 | 1906 |\n| 7 (2nd) | - | 2 - 4 - 0t | w7 | 1882 | 1926 |\n| 8 | - | 2 - 4 - 0t | w8 | 1898 | 1929 |\n| 9 | - | 0 - 6 - 0t | w9 | 1872 | 1927 |\n| 10 | - | 0 - 6 - 0t | w10 | 1874 | 1936 |\n| 11 | - | 0 - 6 - 0t | w11 | 1878 | 1963 |\n| 12 | - | 0 - 6 - 0t | w12 | 1880 | 1936 |" + } + ] + }, + { + "id": "table_recognition_train_item_68760", + "image": "table_instructV/images/TabFact_2-18379129-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| play | author | company | base | country |\n| --- | --- | --- | --- | --- |\n| antigone | after sophocles | state ballet | mecklenburg | germany |\n| la passione delle troiane | after euripides | cantieri teatrali koreja | lecce | italy |\n| the libation bearers | aeschylus | thessalian theatre | mecklenburg | greece |\n| medea | euripides | teatrul national 'marin sorescu' | craiova | romania |\n| thebaid | after sophocles and euripides | anerada theatre | nicosia | cyprus |\n| the clouds | aristophanes | cyprus theatre organisation | nicosia | cyprus |\n| electra | euripides | dance theatre roes | athens | greece |\n| alcestis | euripides | national theatre of greece | athens | greece |\n| iphigenia in aulis | euripides | herzliya ensamble | herzliya | israel |" + } + ] + }, + { + "id": "table_recognition_train_item_32122", + "image": "table_instructV/images/TABMWP_14613.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| | A Footlong shoe | A Toes Knows shoe |\n| --- | --- | --- |\n| Displeased | 1 | 3 |\n| Pleased | 2 | 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_66048", + "image": "table_instructV/images/TabFact_1-19763199-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| draw | artist | song | jury votes | televotes | total votes | result |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | yulia valentayn | uh la la | 6 | 3 | 9 | out |\n| 2 | la red de san luis | gracias , madre tierra | 8 | 2 | 10 | out |\n| 3 | vicente casal | tú me complementas | 1 | 7 | 8 | out |\n| 4 | noelia cano | cruza los dedos | 7 | 4 | 11 | final |\n| 5 | carlos ferrer eai | el patito | 4 | 5 | 9 | out |\n| 6 | la la love you | dame un beso | 10 | 10 | 20 | final |\n| 7 | normativa vigente | alejandría - the new generation | 3 | 6 | 9 | out |\n| 8 | atalis | retrato frontal | 5 | 1 | 6 | out |\n| 9 | melody y los vivancos | amante de la luna | 12 | 12 | 24 | final |" + } + ] + }, + { + "id": "table_recognition_train_item_33995", + "image": "table_instructV/images/TABMWP_34857.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 4 | 15 |\n| 5 | 9 |\n| 6 | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_106035", + "image": "table_instructV/images/ToTTo_train_table_25345.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Location | Mural title | Image | Artist | Date | Notes | NRHP listed |\n| --- | --- | --- | --- | --- | --- | --- |\n| Ada | Country Dance | | Albert Kotin | 1940 | oil on canvas | |\n| Amherst | Pioneers Cross the Ohio River | | Michael Loew | 1941 | oil on canvas Building is now the city’s headquarters for a “Main Street” revitalization project. | |\n| Barnesville | Airmail | | Michael Sarisky | 1937 | oil on canvas | |\n| Bedford | Drift Towards Industrialism | | Karl Anderson | 1937 | oil on canvas Building now used by as offices for an architectural firm. | |\n| Bellevue | Ohio | - | Paul Meltsner | 1937 | | |\n| Bluffton | Joseph Deford and His Friends Build the First Cabin in Bluffton | | Sante Graziani | 1941 | oil on canvas | |\n| Bridgeport | Ohio Harvest | | Richard Kenah | 1940 | oil on canvas | |\n| Caldwell | Noble County-Ohio | | Robert Lepper | 1938 | tempera | |\n| Canton | Steel Industry | | Glenn Shaw | 1934–37 | Thirteen panels | |\n| Chardon | Maple Sugar Camp | | George Picken | 1942 | oil on canvas Mural has been moved to an office nearby | |\n| Cincinnati | Landmarks of Cincinnati | | John Holmes Paul Chidlaw Frederick Springer Richard Zoellner | | | |\n| Cleveland Main Post Office | Post Office Interiors | | Jack Greitzer | 1936 | oil on canvas Two panels | |\n| Cleveland Pearlbrook Branch | Ore Docks and Steel Mills | | Richard Zoellner | 1938 | | |\n| Cleveland University Center Branch | Historical and Modern Scenes of Cleveland | | Clarence Zyuld and John Czosz | 1937 | | |\n| Coldwater | Coldwater Activities | | Joep Nicolas | 1942 | oil on canvas | |\n| Crestline | The Crossroads-Crestline, Ohio | | Gifford Beal | 1943 | oil on canvas | |\n| Dennison | Passenger Pigeon | | Edmund Sawyer | 1940 | oil on canvas | |\n| East Liverpool | Old Bennett Pottery Plant | | Roland Schweinsburg | | \"Building no longer a Post Office\" | |\n| East Palestine | Early East Palestine and Dr. Rhett Chamberlain's Post Office and Warehouse | | Rolf Stoll | 1937 | oil on canvas | |\n| Eaton | Van Ausdel's Trading Post | | Roland Schweinsburg | 1939 | oil on canvas | |\n| Fairborn \"formerly Osborn\" | Wright Brothers in Ohio | | Henry Simon | 1941 | oil on canvas | |\n| Gambier | Bishop C. Chase Selects Site of Kenyon College | | Norris Rahming | 1943 | oil on canvas | |\n| Geneva | Rural Homestead | | William Sommer | 1939 | oil on canvas | |\n| Georgetown | Tobacco Harvest | | Richard Zoellner | 1938 | oil on canvas | |\n| Girard | Workers of the Soil | | John Edward Costigan | 1938 | Mural destroyed | |\n| Granville | First Pulpit in Granville | FWA-PBA-Paintings and Sculptures for Public Buildings-painting depicting wooded scene of westward pioneers singing... - NARA - 197081.tif | Wendell Jones | 1938 | oil on canvas | |\n| Hamilton | Fort Hamilton Agriculture Industries of Hamilton | | Richard Zoellner | 1934 | Six panels | |\n| Hubbard | Steel Industry | | Hubert Mesibov | 1934 | oil on canvas | |\n| Louisville | Farn and Mill | | Herschel Levit | 1941 | tempera | |\n| McConnelsville, | Mail-the Connecting Link | | Sally Haley | 1938 | oil on canvas | |\n| Marrysville | The Farmer | | James Egleson | 1940 | fresco | |\n| Maumee | Communication | | Rudolph Scheffler | 1938 | oil on canvas | |\n| Medina | Gathering the Apple Crop | | Richard Zoellner | 1938 | oil on canvas Mural was destroyed | |\n| Montpelier | Harvest, the Annals of America | | Leonard Ahneman | 1941 | oil on canvas | |\n| Mount Gilead | Pioneering to Progress | | Julius Wyhof | 1938 | oil on canvas | |\n| New Concord | Skaters | | Clyde Singer | 1941 | oil on canvas | |\n| New Lexington | Great Men Came from the Hills | | Isabel Bishop | 1938 | oil on canvas | |\n| New London | New London Facets | | Lloyd R. Ney | 1940 | oil on canvas The only officially Section mural to be labeled \"abstract\" | |\n| Oak Harbor | Early Oak Harbor | | Clarence Zuelch | 1940 | oil on canvas | |\n| Orrville | Judge Smith Orr and Robert Taggard Planning the New Settlement at Orville-1852 | | Aldo Lazzarini | 1937 | oil on canvas | |\n| Perrysburg | Building of fort Meigs 1813 | | Glenn Shaw | 1937 | oil on canvas | |\n| Portsmouth | Characteristic Local Scenes in Portsmouth | | Clarence Carter | 1938 | oil on canvas Four panels | |\n| Portsmouth | Waterfront and Coal Barges | | Richard Zoellner | 1937 | oil on canvas | |\n| Ravenna | Early Ravenna | | Clarence Carter | 1936 | oil on canvas | |\n| Springfield | Printing in Springfield and manufacture of farm implements | | H.H. Wessel | 1937 | | |\n| Tipp City | Construction of Miami-Erie Canal in Miami City | | Herman Zimmerman | 1940 | tempera | |\n| Upper Sandusky | The Mail | | Alois Fabry | 1937 | oil on canvas | |\n| Wadsworth | They came as Wadsworth's First Settler after the War of 1812 | | F. Thornton Martin | 1938 | oil on canvas | |\n| Wapaknneta | Wapakonata and American History | | Joseph Limarzi | 1937 | | |\n| Warren | Romance of Steel, Old and Romance of Steel, Modern | | Glenn Shaw | 1938 | oil on canvas | |\n| Wauseon | Cooperative Planning and Development in Wauseon | | Jack Greitzer | 1938 | oil on canvas | |\n| Waverly | Arrival of Packet | | Roy Best | 1942 | oil on canvas | |\n| Westerville | The Daily Mail | | Olive Nuhfer | 1937 | oil on canvas | |\n| Willard | The Roundhouse | | Mitchell Jamieson | 1941 | oil on canvas | |\n| Willoughby | White Man's First Sight of Lake Erie | | Sterling Smeltzer | 1938 | oil on canvas Mural is \"missing?\" | |\n| Yellow Springs | Yellow Springs-Preparation for Lifework | | Axel Horn | 1941 | oil on canvas | |" + } + ] + }, + { + "id": "table_recognition_train_item_103421", + "image": "table_instructV/images/ToTTo_train_table_14319.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| | River | Length (km) | Length (miles) | Drainage area (km²) | Average discharge (m³/s) | Outflow | Countries in the drainage basin |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1. | Nile–White Nile–Kagera–Nyabarongo–Mwogo–Rukarara | 6,650 (7,088) | 4,132 (4,404) | 3,254,555 | 2,800 | Mediterranean | Ethiopia, Eritrea, Sudan, Uganda, Tanzania, Kenya, Rwanda, Burundi, Egypt, Democratic Republic of the Congo, South Sudan |\n| 2. | Amazon–Ucayali–Tambo–Ene–Mantaro | 6,400 (6,992) | 3,976 (4,345) | 7,050,000 | 209,000 | Atlantic Ocean | Brazil, Peru, Bolivia, Colombia, Ecuador, Venezuela, Guyana |\n| 3. | Yangtze (Chang Jiang; Long River) | 6,300 (6,418) | 3,917 (3,988) | 1,800,000 | 31,900 | East China Sea | China |\n| 4. | Mississippi–Missouri–Jefferson–Beaverhead–Red Rock–Hell Roaring | 6,275 | 3,902 | 2,980,000 | 16,200 | Gulf of Mexico | United States (98.5%), Canada (1.5%) |\n| 5. | Yenisei–Angara–Selenge–Ider | 5,539 | 3,445 | 2,580,000 | 19,600 | Kara Sea | Russia (97%), Mongolia (2.9%) |\n| 6. | Yellow River (Huang He) | 5,464 | 3,395 | 745,000 | 2,110 | Bohai Sea | China |\n| 7. | Ob–Irtysh | 5,410 | 3,364 | 2,990,000 | 12,800 | Gulf of Ob | Russia, Kazakhstan, China, Mongolia |\n| 8. | Río de la Plata–Paraná–Rio Grande | 4,880 | 3,030 | 2,582,672 | 18,000 | Río de la Plata | Brazil (46.7%), Argentina (27.7%), Paraguay (13.5%), Bolivia (8.3%), Uruguay (3.8%) |\n| 9. | Congo–Chambeshi (Zaïre) | 4,700 | 2,922 | 3,680,000 | 41,800 | Atlantic Ocean | Democratic Republic of the Congo, Central African Republic, Angola, Republic of the Congo, Tanzania, Cameroon, Zambia, Burundi, Rwanda |\n| 10. | Amur–Argun–Kherlen (Heilong Jiang) | 4,444 | 2,763 | 1,855,000 | 11,400 | Sea of Okhotsk | Russia, China, Mongolia |\n| 11. | Lena | 4,400 | 2,736 | 2,490,000 | 17,100 | Laptev Sea | Russia |\n| 12. | Mekong (Lancang Jiang) | 4,350 | 2,705 | 810,000 | 16,000 | South China Sea | China, Myanmar, Laos, Thailand, Cambodia, Vietnam |\n| 13. | Mackenzie–Slave–Peace–Finlay | 4,241 | 2,637 | 1,790,000 | 10,300 | Beaufort Sea | Canada |\n| 14. | Niger | 4,200 | 2,611 | 2,090,000 | 9,570 | Gulf of Guinea | Nigeria (26.6%), Mali (25.6%), Niger (23.6%), Algeria (7.6%), Guinea (4.5%), Cameroon (4.2%), Burkina Faso (3.9%), Côte d'Ivoire, Benin, Chad |\n| 15. | Brahmaputra–Tsangpo | 3,848 | 2,391 | 712,035 | 19,800 | Ganges | India (58.0%), China (19.7%), Nepal (9.0%), Bangladesh (6.6%), Disputed India/China (4.2%), Bhutan (2.4%) |\n| 16. | Murray–Darling–Culgoa–Balonne–Condamine | 3,672 | 2,282 | 1,061,000 | 767 | Southern Ocean | Australia |\n| 17. | Tocantins–Araguaia | 3,650 | 2,270 | 950,000 | 13,598 | Atlantic Ocean, Amazon | Brazil |\n| 18. | Volga | 3,645 | 2,266 | 1,380,000 | 8,080 | Caspian Sea | Russia |\n| 19. | Indus–Sênggê Zangbo | 3,610 | 2,250 | 960,000 | 7,160 | Arabian Sea | Pakistan (93%), India, China, Kashmir (Disputed region between Pakistan, India and China) |\n| 20. | Shatt al-Arab–Euphrates–Murat | 3,596 | 2,236 | 884,000 | 856 | Persian Gulf | Iraq (60.5%), Turkey (24.8%), Syria (14.7%) |\n| 21. | Madeira–Mamoré–Grande–Caine–Rocha | 3,380 | 2,100 | 1,485,200 | 31,200 | Amazon | Brazil, Bolivia, Peru |\n| 22. | Purús | 3,211 | 1,995 | 63,166 | 8,400 | Amazon | Brazil, Peru |\n| 23. | Yukon | 3,185 | 1,980 | 850,000 | 6,210 | Bering Sea | United States (59.8%), Canada (40.2%) |\n| 24. | São Francisco | 3,180* (2,900) | 1,976* (1,802) | 610,000 | 3,300 | Atlantic Ocean | Brazil |\n| 25. | Syr Darya–Naryn | 3,078 | 1,913 | 219,000 | 703 | Aral Sea | Kazakhstan, Kyrgyzstan, Uzbekistan, Tajikistan |\n| 26. | Salween (Nu Jiang) | 3,060 | 1,901 | 324,000 | 3,153 | Andaman Sea | China (52.4%), Myanmar (43.9%), Thailand (3.7%) |\n| 27. | Saint Lawrence–Niagara–Detroit–Saint Clair–Saint Marys–Saint Louis–North (Great Lakes) | 3,058 | 1,900 | 1,030,000 | 10,100 | Gulf of Saint Lawrence | Canada (52.1%), United States (47.9%) |\n| 28. | Rio Grande | 3,057 | 1,900 | 570,000 | 82 | Gulf of Mexico | United States (52.1%), Mexico (47.9%) |\n| 29. | Lower Tunguska | 2,989 | 1,857 | 473,000 | 3,600 | Yenisei | Russia |\n| 30. | Danube–Breg (Donau, Dunăre, Duna, Dunav, Dunaj) | 2,888* | 1,795* | 817,000 | 7,130 | Black Sea | Romania (28.9%), Hungary (11.7%), Austria (10.3%), Serbia (10.3%), Germany (7.5%), Slovakia (5.8%), Bulgaria (5.2%), Croatia (4.5%), |\n| 31. | Zambezi (Zambesi) | 2,693* | 1,673* | 1,330,000 | 4,880 | Mozambique Channel | Zambia (41.6%), Angola (18.4%), Zimbabwe (15.6%), Mozambique (11.8%), Malawi (8.0%), Tanzania (2.0%), Namibia, Botswana |\n| 32. | Vilyuy | 2,650 | 1,647 | 454,000 | 1,480 | Lena | Russia |\n| 33. | Araguaia | 2,627 | 1,632 | 358,125 | 5,510 | Tocantins | Brazil |\n| 34. | Ganges–Hooghly–Padma (Ganga) | 2,620 | 1,628 | 907,000 | 12,037 | Bay of Bengal | India, Bangladesh, Nepal, China |\n| 35. | Amu Darya–Panj | 2,620 | 1,628 | 534,739 | 1,400 | Aral Sea | Uzbekistan, Turkmenistan, Tajikistan, Afghanistan |\n| 36. | Japurá (Rio Yapurá) | 2,615* | 1,625* | 242,259 | 6,000 | Amazon | Brazil, Colombia |\n| 37. | Nelson–Saskatchewan | 2,570 | 1,597 | 1,093,000 | 2,575 | Hudson Bay | Canada, United States |\n| 38. | Paraguay (Rio Paraguay) | 2,549 | 1,584 | 900,000 | 4,300 | Paraná | Brazil, Paraguay, Bolivia, Argentina |\n| 39. | Kolyma | 2,513 | 1,562 | 644,000 | 3,800 | East Siberian Sea | Russia |\n| 40. | Pilcomayo | 2,500 | 1,553 | 270,000 | | Paraguay | Paraguay, Argentina, Bolivia |\n| 41. | Upper Ob–Katun | 2,490 | 1,547 | | | Ob | Russia |\n| 42. | Ishim | 2,450 | 1,522 | 177,000 | 56 | Irtysh | Kazakhstan, Russia |\n| 43. | Juruá | 2,410 | 1,498 | 200,000 | 6,000 | Amazon | Peru, Brazil |\n| 44. | Ural | 2,428 | 1,509 | 237,000 | 475 | Caspian Sea | Russia, Kazakhstan |\n| 45. | Arkansas | 2,348 | 1,459 | 505,000 (435,122) | 1,066 | Mississippi | United States |\n| 46. | Colorado (western U.S.) | 2,333 | 1,450 | 390,000 | 1,200 | Gulf of California | United States, Mexico |\n| 47. | Olenyok | 2,292 | 1,424 | 219,000 | 1,210 | Laptev Sea | Russia |\n| 48. | Dnieper | 2,287 | 1,421 | 516,300 | 1,670 | Black Sea | Russia, Belarus, Ukraine |\n| 49. | Aldan | 2,273 | 1,412 | 729,000 | 5,060 | Lena | Russia |\n| 50. | Ubangi–Uele | 2,270 | 1,410 | 772,800 | 4,000 | Congo | Democratic Republic of the Congo, Central African Republic, Republic of Congo |\n| 51. | Negro | 2,250 | 1,398 | 720,114 | 26,700 | Amazon | Brazil, Venezuela, Colombia |\n| 52. | Columbia | 2,250 (1,953) | 1,398 (1,214) | 415,211 | 7,500 | Pacific Ocean | United States, Canada |\n| 53. | Pearl–Zhu Jiang | 2,200 | 1,376 | 437,000 | 13,600 | South China Sea | China (98.5%), Vietnam (1.5%) |\n| 54. | Red (USA) | 2,188 | 1,360 | 78,592 | 875 | Mississippi | United States |\n| 55. | Ayeyarwady (Irrawaddy) | 2,170 | 1,348 | 411,000 | 13,000 | Andaman Sea | Myanmar, China |\n| 56. | Kasai | 2,153 | 1,338 | 880,200 | 10,000 | Congo | Angola, Democratic Republic of the Congo |\n| 57. | Ohio–Allegheny | 2,102 | 1,306 | 490,603 | 7,957 | Mississippi | United States |\n| 58. | Orinoco | 2,101 | 1,306 | 1,380,000 | 33,000 | Atlantic Ocean | Venezuela, Colombia, Guyana |\n| 59. | Tarim | 2,100 | 1,305 | 557,000 | | Lop Nur | P. R. China |\n| 60. | Xingu | 2,100 | 1,305 | | | Amazon | Brazil |\n| 61. | Orange | 2,092 | 1,300 | | | Atlantic Ocean | South Africa, Namibia, Botswana, Lesotho |\n| 62. | Northern Salado | 2,010 | 1,249 | | | Paraná | Argentina |\n| 63. | Vitim | 1,978 | 1,229 | | | Lena | Russia |\n| 64. | Tigris | 1,950 | 1,212 | | | Shatt al-Arab | Turkey, Iraq, Syria |\n| 65. | Songhua | 1,927 | 1,197 | | | Amur | P. R. China |\n| 66. | Tapajós | 1,900 | 1,181 | | | Amazon | Brazil |\n| 67. | Don | 1,870 | 1,162 | 425,600 | 935 | Sea of Azov | Russia, Ukraine |\n| 68. | Stony Tunguska | 1,865 | 1,159 | 240,000 | | Yenisei | Russia |\n| 69. | Pechora | 1,809 | 1,124 | 322,000 | 4,100 | Barents Sea | Russia |\n| 70. | Kama | 1,805 | 1,122 | 507,000 | 4,100 | Volga | Russia |\n| 71. | Limpopo | 1,800 | 1,118 | 413,000 | | Indian Ocean | Mozambique, Zimbabwe, South Africa, Botswana |\n| 72. | Chulym | 1,799 | 1,118 | 134,000 | | Ob | Russia |\n| 73. | Guaporé (Itenez) | 1,749 | 1,087 | | | Mamoré | Brazil, Bolivia |\n| 74. | Indigirka | 1,726 | 1,072 | 360,400 | 1,810 | East Siberian Sea | Russia |\n| 75. | Snake | 1,670 | 1,038 | 279,719 | 1,611 | Columbia | United States |\n| 76. | Senegal | 1,641 | 1,020 | 419,659 | | Atlantic Ocean | Guinea, Senegal, Mali, Mauritania |\n| 77. | Uruguay | 1,610 | 1,000 | 370,000 | | Atlantic Ocean | Uruguay, Argentina, Brazil |\n| 78. | Blue Nile | 1,600 | 994 | 326,400 | | Nile | Ethiopia, Sudan |\n| 78. | Churchill | 1,600 | 994 | | | Hudson Bay | Canada |\n| 78. | Khatanga | 1,600 | 994 | | | Laptev Sea | Russia |\n| 78. | Okavango | 1,600 | 994 | | | Okavango Delta | Namibia, Angola, Botswana |\n| 78. | Volta | 1,600 | 994 | | | Gulf of Guinea | Ghana, Burkina Faso, Togo, Côte d'Ivoire, Benin |\n| 83. | Beni | 1,599 | 994 | 283,350 | 8,900 | Madeira | Bolivia |\n| 84. | Platte | 1,594 | 990 | | | Missouri | United States |\n| 85. | Tobol | 1,591 | 989 | | | Irtysh | Kazakhstan, Russia |\n| 86. | Jubba–Shebelle | 1,580* | 982* | | | Indian Ocean | Ethiopia, Somalia |\n| 87. | Içá (Putumayo) | 1,575 | 979 | | | Amazon | Brazil, Peru, Colombia, Ecuador |\n| 88. | Magdalena | 1,550 | 963 | 263,858 | 9,000 | Caribbean | Colombia |\n| 89. | Han | 1,532 | 952 | | | Yangtze | P. R. China |\n| 89. | Kura/Mt'k'vari | 1,515 | 941 | 188,400 | 575 | Caspian Sea | Turkey, Georgia, Azerbaijan |\n| 91. | Oka | 1,500 | 932 | 245,000 | 1,258 | Volga | Russia |\n| 91. | Upper Murray | 1,500 | 932 | | | Lower Murray | Australia |\n| 93. | Guaviare | 1,497 | 930 | | | Orinoco | Colombia |\n| 94. | Pecos | 1,490 | 926 | | | Rio Grande | United States |\n| 95. | Murrumbidgee River | 1,485 | 923 | 84,917 | 120 | Murray River | Australia |\n| 96. | Upper Yenisei–Little Yenisei (Kaa-Hem) | 1,480 | 920 | | | Yenisei | Russia, Mongolia |\n| 97. | Godavari | 1,465 | 910 | 312,812 | 3,061 | Bay of Bengal | India |\n| 98. | Colorado (Texas) | 1,438 | 894 | | | Gulf of Mexico | United States |\n| 98. | Río Grande (Guapay) | 1,438 | 894 | 102,600 | 264 | Ichilo | Bolivia |\n| 100. | Belaya | 1,420 | 882 | 142,000 | 858 | Kama | Russia |\n| 100. | Cooper–Barcoo | 1,420 | 880 | | | Lake Eyre | Australia |\n| 102. | Marañón | 1,415 | 879 | | | Amazon | Peru |\n| 103. | Dniester | 1,411 (1,352) | 877 (840) | 72,100 | 310 | Black Sea | Ukraine, Moldova |\n| 104. | Benue | 1,400 | 870 | | | Niger | Cameroon, Nigeria |\n| 104. | Ili (Yili) | 1,400 | 870 | | | Lake Balkhash | P. R. China, Kazakhstan |\n| 104. | Warburton–Georgina | 1,400 | 870 | 365,000 | | Lake Eyre | Australia |\n| 107. | Sutlej | 1,372 | 852 | | | Chenab | China, India, Pakistan |\n| 108. | Yamuna | 1,370 | 851 | 366,223 | 2,950 | Ganges | India |\n| 109. | Vyatka | 1,370 | 851 | 129,000 | 890 | Kama | Russia |\n| 110. | Fraser | 1,368 | 850 | 220,000 | 3,475 | Pacific Ocean | Canada, United States |\n| 111. | Grande | 1,360 | 845 | | | Paraná | Brazil |\n| 113. | Brazos | 1,352 | 840 | | | Gulf of Mexico | United States |\n| 114. | Liao | 1,345 | 836 | | | Bohai Sea | P. R. China |\n| 115. | Lachlan River | 1,338 | 831 | 84,700 | 49 | Murrumbidgee River | Australia |\n| 116. | Yalong | 1,323 | 822 | | | Yangtze | P. R. China |\n| 117. | Iguaçu | 1,320 | 820 | | | Paraná | Brazil, Argentina |\n| 117. | Olyokma | 1,320 | 820 | | | Lena | Russia |\n| 119. | Northern Dvina–Sukhona | 1,302 | 809 | 357,052 | 3,332 | White Sea | Russia |\n| 120. | Krishna | 1,300 | 808 | | | Bay of Bengal | India |\n| 120. | Iriri | 1,300 | 808 | | | Xingu | Brazil |\n| 122. | Narmada | 1,289 | 801 | | | Arabian Sea | India |\n| 123. | Lomami | 1,280 | 795 | | | Congo | Democratic Republic of the Congo |\n| 124. | Ottawa | 1,271 | 790 | 146,300 | 1,950 | Saint Lawrence | Canada |\n| 125. | Lerma–Rio Grande de Santiago | 1,270 | 789 | 119,543 | | Pacific Ocean | Mexico |\n| 126. | Elbe–Vltava | 1,252 | 778 | 148,268 | 711 | North Sea | Germany, Czech Republic |\n| 127. | Zeya | 1,242 | 772 | | | Amur | Russia |\n| 128. | Juruena | 1,240 | 771 | | | Tapajós | Brazil |\n| 129. | Upper Mississippi | 1,236 | 768 | | | Mississippi | United States |\n| 130. | Rhine | 1,233 | 768 | 185,000 | 2,330 | North Sea | Germany (57.3%), Switzerland (15.1%), Netherlands (12.3%), France (12.2%), Luxembourg (1.4%), Austria (1.3%), Belgium (0.4%), Liechtenstein (0.1%), Italy (0.03%) |\n| 131. | Athabasca | 1,231 | 765 | 95,300 | | Mackenzie | Canada |\n| 132. | Canadian | 1,223 | 760 | | | Arkansas | United States |\n| 133. | North Saskatchewan | 1,220 | 758 | | | Saskatchewan | Canada |\n| 134. | Vistula–Bug | 1,213 | 754 | 194,424 | 1,080 | Baltic Sea | Poland, Belarus, Ukraine |\n| 135. | Vaal | 1,210 | 752 | | | Orange | South Africa |\n| 136. | Shire | 1,200 | 746 | | | Zambezi | Mozambique, Malawi |\n| 136. | Ogooué (or Ogowe) | 1,200 | 746 | 223,856 | 4,706 | Atlantic Ocean | Gabon, Republic of the Congo |\n| 138. | Nen (Nonni) | 1,190 | 739 | | | Songhua | P. R. China |\n| 139. | Kızıl River | 1,182 | 734 | 115,000 | 400 | Black Sea | Turkey |\n| 140. | Green | 1,175 | 730 | | | Colorado (western U.S.) | United States |\n| 141. | Milk | 1,173 | 729 | | | Missouri | United States, Canada |\n| 142. | Chindwin | 1,158 | 720 | | | Ayeyarwady | Myanmar |\n| 143. | Sankuru | 1,150 | 715 | | | Kasai | Democratic Republic of the Congo |\n| 143. | Wu | 1,150 | 715 | 80,300 | 1,108 | Yangtze | China |\n| 145. | Red (Asia) | 1,149 | 714 | 143,700 | 2,640 | Gulf of Tonkin | China, Vietnam |\n| 146. | James (Dakotas) | 1,143 | 710 | | | Missouri | United States |\n| 146. | Kapuas | 1,143 | 710 | | | South China Sea | Indonesia |\n| 148. | Desna | 1,130 | 702 | 88,900 | 360 | Dnieper | Russia, Belarus, Ukraine |\n| 148. | Helmand | 1,130 | 702 | | | Hamun-i-Helmand | Afghanistan, Iran |\n| 148. | Madre de Dios | 1,130 | 702 | 125,000 | 4,915 | Beni | Peru, Bolivia |\n| 148. | Tietê | 1,130 | 702 | | | Paraná | Brazil |\n| 148. | Vychegda | 1,130 | 702 | 121,000 | 1160 | Northern Dvina | Russia |\n| 153. | Sepik | 1,126 | 700 | 77,700 | | Pacific Ocean | Papua New Guinea, Indonesia |\n| 154. | Cimarron | 1,123 | 698 | | | Arkansas | United States |\n| 155. | Anadyr | 1,120 | 696 | | | Gulf of Anadyr | Russia |\n| 155. | Paraíba do Sul | 1,120 | 696 | | | Atlantic Ocean | Brazil |\n| 157. | Jialing River | 1,119 | 695 | | | Yangtze | P. R. China |\n| 158. | Liard | 1,115 | 693 | | | Mackenzie | Canada |\n| 159. | Cumberland | 1,105 | 687 | 46,830 | 862 | Mississippi | United States |\n| 160. | White | 1,162 | 722 | | | Mississippi | United States |\n| 161. | Huallaga | 1,100 | 684 | | | Marañón | Peru |\n| 161. | Kwango | 1,100 | 684 | 263,500 | 2,700 | Kasai | Angola, Democratic Republic of the Congo |\n| 161. | Draa | 1,100 | 684 | | | Atlantic Ocean | Morocco |\n| 164. | Gambia | 1,094 | 680 | | | Atlantic Ocean | The Gambia, Senegal, Guinea |\n| 165. | Chenab | 1,086 | 675 | | | Indus | India, Pakistan |\n| 166. | Yellowstone | 1,080 | 671 | 114,260 | | Missouri | United States |\n| 166. | Ghaghara | 1,080 | 671 | 127,950 | 2,990 | Ganges | India, Nepal, China |\n| 168. | Huai River | 1,078 | 670 | 270,000 | 1,110 | Yangtze | China |\n| 169. | Aras | 1,072 | 665 | 102,000 | 285 | Kura | Turkey, Armenia, Azerbaijan, Iran |\n| 170. | Chu River | 1,067 | 663 | 62,500 | | none | Kyrgyzstan, Kazakhstan |\n| 171. | Seversky Donets | 1,078 (1,053) | 670 (654) | 98,900 | 159 | Don | Russia, Ukraine |\n| 172. | Bermejo | 1,050 | 652 | | | Paraguay | Argentina, Bolivia |\n| 172. | Fly | 1,050 | 652 | | | Gulf of Papua | Papua New Guinea, Indonesia |\n| 172. | Kuskokwim | 1,050 | 652 | | | Bering Sea | United States |\n| 175. | Tennessee | 1,049 | 652 | | | Ohio | United States |\n| 176. | Oder–Warta | 1,045 | 649 | 118,861 | 550 | Baltic Sea | Poland, Germany, Czech Republic |\n| 177. | Aruwimi | 1,030 | 640 | | | Congo | Democratic Republic of the Congo |\n| 178. | Daugava | 1,020 | 634 | 87,900 | 678 | Gulf of Riga | Latvia, Belarus, Russia |\n| 179. | Gila | 1,015 | 631 | | | Colorado (western U.S.) | United States |\n| 180. | Loire | 1,012 | 629 | 115,271 | 840 | Atlantic Ocean | France |\n| 181. | Essequibo | 1,010 | 628 | | | Atlantic Ocean | Guyana |\n| 181. | Khoper | 1,010 | 628 | 61,100 | 150 | Don | Russia |\n| 183. | Tagus (Tajo/Tejo) | 1,006 | 625 | 80,100 | 444 | Atlantic Ocean | Spain, Portugal |\n| 184. | Flinders River | 1,004 | 624 | 109,000 | 122 | Gulf of Carpentaria | Australia |" + } + ] + }, + { + "id": "table_recognition_train_item_48708", + "image": "table_instructV/images/TAT-QA_a2d6e405-cb4f-4134-93fa-08ce8e849142.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| | 2019 | (Restated) 2018 |\n| --- | --- | --- |\n| | £m | £m |\n| Total net debt | 321.0 | 355.2 |\n| Total equity | 59.0 | 5.6 |\n| Total capital | 380.0 | 360.8 |" + } + ] + }, + { + "id": "table_recognition_train_item_34233", + "image": "table_instructV/images/TABMWP_37322.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 11 | 14 |\n| 12 | 10 |\n| 13 | 5 |" + } + ] + }, + { + "id": "table_recognition_train_item_115227", + "image": "table_instructV/images/Rotowire_train_table_1956.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bulls | Chicago | 109 | 17 | 29 | 23 | 30 | 19 | 59 | 16 | 37 | 73 | 21 | 24 | 10 | | | | |\n| Celtics | Boston | 104 | 23 | 17 | 29 | 30 | 26 | 45 | 20 | 45 | 82 | 29 | 11 | 20 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Pau Gasol | 38 | 29 | 16 | 2 | 9-16 | 56% | 1-1 | 100% | 10-11 | 91% | 1 | 5 | 5 | 5 | 11 | 1 | F | Chicago |\n| Aaron Brooks | 20 | 19 | 4 | 1 | 6-15 | 40% | 3-8 | 38% | 4-5 | 80% | 1 | 2 | 0 | 2 | 2 | 1 | N/A | Chicago |\n| Derrick Rose | 35 | 12 | 2 | 1 | 5-18 | 28% | 1-4 | 25% | 1-2 | 50% | 1 | 4 | 0 | 0 | 2 | 1 | G | Chicago |\n| Taj Gibson | 31 | 12 | 6 | 2 | 4-10 | 40% | 0-0 | 0% | 4-5 | 80% | 0 | 0 | 1 | 5 | 1 | 0 | N/A | Chicago |\n| Nikola Mirotic | 38 | 10 | 8 | 4 | 2-10 | 20% | 1-6 | 17% | 5-7 | 71% | 2 | 0 | 0 | 0 | 8 | 2 | F | Chicago |\n| Joakim Noah | 36 | 8 | 12 | 6 | 3-10 | 30% | 0-0 | 0% | 2-4 | 50% | 3 | 4 | 2 | 6 | 6 | 4 | C | Chicago |\n| Kirk Hinrich | 37 | 8 | 5 | 0 | 4-10 | 40% | 0-6 | 0% | 0-0 | 0% | 0 | 1 | 1 | 3 | 2 | 4 | G | Chicago |\n| E'Twaun Moore | 16 | 8 | 3 | 1 | 3-7 | 43% | 0-1 | 0% | 2-4 | 50% | 1 | 0 | 0 | 2 | 1 | 0 | N/A | Chicago |\n| Tony Snell | 13 | 3 | 3 | 2 | 1-4 | 25% | 0-2 | 0% | 1-2 | 50% | 1 | 0 | 0 | 1 | 2 | 1 | N/A | Chicago |\n| Cameron Bairstow | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Nazr Mohammed | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Evan Turner | 40 | 29 | 5 | 6 | 12-22 | 55% | 4-5 | 80% | 1-2 | 50% | 1 | 7 | 0 | 0 | 5 | 3 | G | Boston |\n| Avery Bradley | 36 | 17 | 2 | 0 | 8-15 | 53% | 0-1 | 0% | 1-2 | 50% | 1 | 2 | 0 | 1 | 1 | 2 | G | Boston |\n| Jared Sullinger | 36 | 16 | 16 | 2 | 8-17 | 47% | 0-3 | 0% | 0-0 | 0% | 1 | 2 | 1 | 8 | 8 | 1 | F | Boston |\n| Jeff Green | 38 | 11 | 9 | 2 | 4-18 | 22% | 0-3 | 0% | 3-3 | 100% | 1 | 4 | 1 | 0 | 9 | 3 | F | Boston |\n| Tyler Zeller | 28 | 10 | 1 | 4 | 4-5 | 80% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 0 | 0 | 1 | 6 | C | Boston |\n| Jae Crowder | 15 | 10 | 3 | 2 | 4-7 | 57% | 0-1 | 0% | 2-2 | 100% | 2 | 0 | 1 | 0 | 3 | 2 | N/A | Boston |\n| Phil Pressey | 13 | 5 | 2 | 3 | 2-7 | 29% | 1-2 | 50% | 0-0 | 0% | 1 | 2 | 1 | 0 | 2 | 1 | N/A | Boston |\n| Marcus Smart | 17 | 4 | 0 | 1 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 0 | 3 | N/A | Boston |\n| Brandan Wright | 15 | 2 | 3 | 3 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 1 | 2 | 1 | N/A | Boston |\n| Kelly Olynyk | 14 | 0 | 2 | 2 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 2 | 4 | N/A | Boston |\n| Brandon Bass | 14 | 0 | 2 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Boston |\n| Jameer Nelson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Gerald Wallace | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |" + } + ] + }, + { + "id": "table_recognition_train_item_101010", + "image": "table_instructV/images/ToTTo_train_table_4269.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| S | T | G | MPM | PPG | 3P | 3PA | 3P% | FT | FTA | FT% | RPG | APG |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Under 15 French National Championship, 1998–99 | Poissy-Chatou | 18 | | 23 | | | - | | | - | | |\n| Under 18 French National Championship, 1999–00 | Poissy-Chatou | 22 | | 13 | | | - | | | - | | |\n| Under 18 French National Championship, 2000–01 | Poissy-Chatou | 20 | | 21.5 | | | - | | | - | | |\n| Under 18 French National Championship, 2001–02 | Poissy-Yvelines | 20 | | 25 | | | - | | | - | | |\n| French National 3, 2001–02 | Poissy-Yvelines | 20 | 31 | 18 | 76 | 168 | 45% | 50 | 56 | 89% | 3.2 | 9 |\n| High School, 2002–03 | Casa Grande High School (CA) | 29 | 27 | 23 | 100 | 238 | 42% | 50 | 56 | 89% | 4.4 | 5.5 |\n| NCAA Men’s Division I Basketball Championship, 2003–04 | Oregon State University | 28 | 15.6 | 6.4 | 45 | 143 | 31.5% | 18 | 27 | 66.7% | 1.2 | 0.8 |\n| NCAA Men’s Division I Basketball Championship, 2004–05 | Oregon State University | DNP | DNP | DNP | DNP | DNP | DNP | DNP | DNP | DNP | DNP | DNP |\n| NCAA Men’s Division I Basketball Championship, 2005–06 | Oregon State University | 26 | 7 | 2 | 9 | 46 | 20% | 11 | 17 | 64.7% | 0.69 | 0.35 |\n| NCAA Men’s Division I Basketball Championship, 2006–07 | Oregon State University | 28 | 9.8 | 2.8 | 18 | 65 | 28% | 7 | 11 | 63.6% | 0.74 | 0.56 |\n| NCAA Men's Division II Basketball Championship, 2007–08 | Cal Poly Pomona | 28 | 30 | 15.1 | 75 | 201 | 37.5% | 84 | 96 | 87.5% | 2.5 | 2.5 |\n| LNB Pro B, 2008 | JL Bourg-en-Bresse | 7 | 19 | 10 | 11 | 25 | 44% | 11 | 11 | 100% | 2 | 2 |\n| LNB Pro B, 2008–09 | Paris-Levallois | 28 | 7 | 3.1 | 22 | 68 | 32.4% | 11 | 14 | 78.6% | 0.5 | 0.4 |\n| LNB Pro B, 2009–10 | Saint-Vallier Basket Drôme | 34 | 21 | 8 | 58 | 169 | 34% | 50 | 59 | 84% | 2.1 | 1.4 |\n| LNB Pro B, 2010–11 | JL Bourg-en-Bresse | 34 | 22 | 11.3 | 71 | 174 | 41% | 79 | 90 | 88% | 1.9 | 1.6 |\n| LNB Pro B, 2011–12 | JL Bourg-en-Bresse | 22 | 26 | 13.6 | 55 | 139 | 39.6% | 46 | 54 | 85.2% | 1.6 | 2.4 |\n| LNB Pro B, 2012–13 | Champagne Châlons Reims Basket | 34 | 27 | 12.2 | 91 | 207 | 44% | 65 | 71 | 91.5% | 2 | 1.8 |\n| LNB Pro B, 2013–14 | Stade Olympique Maritime Boulonnais | 44 | 30 | 13.1 | 124 | 324 | 38.3% | 134 | 150 | 89.3% | 1.9 | 2.9 |\n| LNB Pro A, 2014–15 | Stade Olympique Maritime Boulonnais | 31 | 18 | 8 | 79 | 183 | 43.5% | 30 | 38 | 79% | 1.3 | 1.7 |\n| LNB Pro B, 2015–16 | JA Vichy-Clermont | 33 | 26 | 11.3 | 87 | 232 | 37.5% | 47 | 53 | 88.7% | 1.8 | 1.9 |\n| LNB Pro B, 2015–16 | JA Vichy-Clermont (Pro B LC) | 6 | 25 | 13.3 | 17 | 41 | 41.5% | 25 | 27 | 92.6% | 1 | 2.5 |\n| Greek Basket League, 2016–17 | Trikala Aries | 22 | 28 | 10 | 51 | 156 | 33% | 31 | 34 | 91.2% | 2.7 | 2.3 |\n| Greek Basket League, 2017–18 | Kymis | 27 | 20 | 7 | 42 | 120 | 35% | 33 | 37 | 89.2% | 1.3 | 1.3 |" + } + ] + }, + { + "id": "table_recognition_train_item_68200", + "image": "table_instructV/images/TabFact_2-10557471-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| rank | heat | lane | name | nationality | time |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 2 | 4 | jason lezak | united states | 48.51 |\n| 2 | 1 | 4 | filippo magnini | italy | 48.60 |\n| 3 | 2 | 5 | pieter van den hoogenband | netherlands | 48.72 |\n| 4 | 2 | 3 | brent hayden | canada | 48.79 |\n| 5 | 2 | 6 | eamon sullivan | australia | 48.86 |\n| 6 | 1 | 6 | ryk neethling | south africa | 48.87 |\n| 6 | 2 | 2 | cãsar cielo filho | brazil | 48.87 |\n| 6 | 2 | 8 | roland schoeman | south africa | 48.87 |\n| 9 | 1 | 5 | alain bernard | france | 48.89 |\n| 10 | 1 | 2 | stefan nystrand | sweden | 48.92 |\n| 11 | 2 | 7 | albert subirats altes | venezuela | 49.17 |\n| 12 | 1 | 3 | simon burnett | great britain | 49.22 |\n| 13 | 1 | 7 | dominik meichtry | switzerland | 49.27 |\n| 14 | 1 | 8 | christian galenda | italy | 49.31 |\n| 15 | 1 | 1 | mitja zastrow | netherlands | 49.41 |\n| 16 | 2 | 1 | ashley callus | australia | 49.45 |" + } + ] + }, + { + "id": "table_recognition_train_item_113351", + "image": "table_instructV/images/Rotowire_train_table_1018.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Trail Blazers | Portland | 108 | 21 | 31 | 35 | 21 | 21 | 45 | 9 | 40 | 71 | 36 | 15 | 24 | | | | |\n| Warriors | Golden State | 128 | 38 | 36 | 32 | 22 | 36 | 48 | 15 | 53 | 86 | 56 | 34 | 2 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Trail Blazers | | | | | | | | | | | | | | | | | | |\n| Damian Lillard | 38 | 40 | 3 | 10 | 12-27 | 44% | 6-15 | 40% | 10-12 | 83% | 2 | 3 | 2 | 1 | 2 | 2 | G | Portland |\n| Allen Crabbe | 30 | 18 | 1 | 0 | 8-14 | 57% | 0-4 | 0% | 2-2 | 100% | 2 | 2 | 0 | 0 | 1 | 1 | N/A | Portland |\n| CJ McCollum | 36 | 17 | 3 | 3 | 7-23 | 30% | 3-7 | 43% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 0 | G | Portland |\n| Al-Farouq Aminu | 20 | 8 | 7 | 0 | 3-5 | 60% | 1-3 | 33% | 1-2 | 50% | 1 | 0 | 0 | 1 | 6 | 1 | F | Portland |\n| Mason Plumlee | 18 | 7 | 5 | 1 | 2-8 | 25% | 0-0 | 0% | 3-4 | 75% | 0 | 1 | 0 | 1 | 4 | 2 | C | Portland |\n| Ed Davis | 16 | 5 | 7 | 1 | 2-3 | 67% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 2 | 5 | 2 | N/A | Portland |\n| Meyers Leonard | 17 | 5 | 4 | 1 | 2-4 | 50% | 1-1 | 100% | 0-0 | 0% | 1 | 0 | 1 | 1 | 3 | 4 | N/A | Portland |\n| Maurice Harkless | 22 | 5 | 1 | 1 | 1-3 | 33% | 1-2 | 50% | 2-4 | 50% | 2 | 0 | 1 | 1 | 0 | 1 | N/A | Portland |\n| Pat Connaughton | 5 | 2 | 3 | 1 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 2 | 2 | 0 | 1 | 2 | 1 | N/A | Portland |\n| Gerald Henderson | 16 | 1 | 5 | 1 | 0-3 | 0% | 0-0 | 0% | 1-2 | 50% | 1 | 0 | 0 | 0 | 5 | 2 | N/A | Portland |\n| Tim Frazier | 5 | 0 | 0 | 2 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Portland |\n| Noah Vonleh | 17 | 0 | 6 | 0 | 0-3 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 4 | 2 | 1 | F | Portland |\n| Chris Kaman | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Klay Thompson | 32 | 36 | 6 | 5 | 13-22 | 59% | 7-10 | 70% | 3-4 | 75% | 0 | 0 | 0 | 0 | 6 | 1 | G | Golden State |\n| Stephen Curry | 29 | 26 | 3 | 9 | 8-18 | 44% | 4-11 | 36% | 6-6 | 100% | 1 | 1 | 0 | 0 | 3 | 2 | G | Golden State |\n| Brandon Rush | 29 | 20 | 4 | 0 | 8-9 | 89% | 4-4 | 100% | 0-0 | 0% | 1 | 1 | 1 | 0 | 4 | 1 | F | Golden State |\n| Draymond Green | 33 | 11 | 13 | 10 | 4-6 | 67% | 0-2 | 0% | 3-4 | 75% | 0 | 2 | 1 | 1 | 12 | 3 | F | Golden State |\n| Marreese Speights | 15 | 8 | 5 | 0 | 4-7 | 57% | 0-0 | 0% | 0-0 | 0% | 2 | 3 | 0 | 1 | 4 | 2 | N/A | Golden State |\n| Harrison Barnes | 23 | 7 | 0 | 3 | 2-10 | 20% | 1-3 | 33% | 2-2 | 100% | 1 | 0 | 0 | 0 | 0 | 1 | N/A | Golden State |\n| Ian Clark | 17 | 6 | 4 | 2 | 2-3 | 67% | 2-2 | 100% | 0-0 | 0% | 0 | 2 | 1 | 1 | 3 | 0 | N/A | Golden State |\n| Andrew Bogut | 18 | 5 | 5 | 1 | 2-2 | 100% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 1 | 0 | 5 | 3 | C | Golden State |\n| Shaun Livingston | 19 | 5 | 1 | 3 | 2-7 | 29% | 0-0 | 0% | 1-1 | 100% | 1 | 0 | 0 | 0 | 1 | 2 | N/A | Golden State |\n| Andre Iguodala | 19 | 2 | 4 | 3 | 0-1 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 3 | 0 | 1 | 3 | 5 | N/A | Golden State |\n| Festus Ezeli | 7 | 2 | 3 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 1 | 2 | 0 | N/A | Golden State |\n| James Michael McAdoo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Jason Thompson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |" + } + ] + }, + { + "id": "table_recognition_train_item_34906", + "image": "table_instructV/images/TABMWP_17644.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Date | Description | Received | Expenses | Available Funds |\n| --- | --- | --- | --- | --- |\n| | Balance: end of October | | | $336.60 |\n| 11/9 | new app | | $4.95 | $331.65 |\n| 11/17 | tutoring | $15.00 | | $346.65 |\n| 11/20 | corn maze | | $8.00 | $338.65 |" + } + ] + }, + { + "id": "table_recognition_train_item_58720", + "image": "table_instructV/images/TabFact_2-15318286-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| position | team | points | played | drawn | lost | against | difference |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | são paulo | 34 | 20 | 2 | 2 | 19 | 35 |\n| 2 | santos | 32 | 20 | 2 | 3 | 31 | 23 |\n| 3 | ypiranga - sp | 27 | 20 | 5 | 4 | 24 | 20 |\n| 4 | corinthians | 26 | 20 | 4 | 5 | 32 | 18 |\n| 5 | portuguesa | 20 | 20 | 2 | 9 | 34 | 15 |\n| 6 | palmeiras | 19 | 20 | 5 | 8 | 32 | - 3 |\n| 7 | juventus | 19 | 20 | 5 | 8 | 49 | - 17 |\n| 8 | portuguesa santista | 17 | 20 | 5 | 9 | 41 | - 12 |\n| 9 | comercial - sp | 12 | 20 | 2 | 13 | 52 | - 17 |\n| 10 | jabaquara | 7 | 20 | 3 | 15 | 46 | - 25 |\n| 11 | nacional - sp | 7 | 20 | 3 | 15 | 55 | - 37 |" + } + ] + }, + { + "id": "table_recognition_train_item_60928", + "image": "table_instructV/images/TabFact_2-1224141-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| ship | pennant number | laid down | launched | completed |\n| --- | --- | --- | --- | --- |\n| echo | h23 | 20 march 1933 | 16 february 1934 | 22 october 1934 |\n| eclipse | h08 | 22 march 1933 | 12 april 1934 | 29 november 1934 |\n| electra | h27 | 15 march 1933 | 15 february 1934 | 13 september 1934 |\n| encounter | h10 | 15 march 1933 | 29 march 1934 | 2 november 1934 |\n| escapade | h17 | 30 march 1933 | 30 january 1934 | 30 august 1934 |\n| escort | h66 | 30 march 1933 | 29 march 1934 | 30 october 1934 |\n| esk | h15 | 24 march 1933 | 19 march 1934 | 28 september 1934 |\n| express | h61 | 24 march 1933 | 29 may 1934 | 2 november 1934 |\n| exmouth (flotilla leader) | h02 | 15 may 1933 | 7 february 1934 | 9 november 1934 |" + } + ] + }, + { + "id": "table_recognition_train_item_104527", + "image": "table_instructV/images/ToTTo_train_table_19064.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Year | Champion | Title Game Opponent | Score |\n| --- | --- | --- | --- |\n| 2009 | Notre Dame | Ohio State | 16-7 |\n| 2008 | Notre Dame | Ohio State | 9-2 |" + } + ] + }, + { + "id": "table_recognition_train_item_100905", + "image": "table_instructV/images/ToTTo_train_table_3780.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| DVD Title | Ep # | Release Date | Blu-ray Disc |\n| --- | --- | --- | --- |\n| Tyler Perry's House of Payne Volume 1 | 1–20 | December 4, 2007 | |\n| Tyler Perry's House of Payne Volume 2 | 21–40 | July 1, 2008 | |\n| Tyler Perry's House of Payne Volume 3 | 41–60 | January 13, 2009 | |\n| Tyler Perry's House of Payne Volume 4 | 61–80 | June 16, 2009 | |\n| Tyler Perry's House of Payne Volume 5 | 81–100 | January 13, 2010 | |\n| Tyler Perry's House of Payne Volume 6 | 101–124 | February 8, 2011 | |\n| Tyler Perry's House of Payne Volume 7 | 125–148 | April 5, 2011 | |\n| Tyler Perry's House of Payne Volume 8 | 149–172 | June 14, 2011 | |\n| Tyler Perry's House of Payne Volume 9 | 173–192 | June 19, 2012 | |\n| Tyler Perry's House of Payne Volume 10 | 193–212 | March 5, 2013 | |\n| Tyler Perry's House of Payne Volume 11 | 213–233 | TBA | |\n| Tyler Perry's House of Payne Volume 12 | 234–254 | TBA | |" + } + ] + }, + { + "id": "table_recognition_train_item_66202", + "image": "table_instructV/images/TabFact_2-17246160-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| season | series | team | races | wins | poles | flaps | podiums | points | position |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2008 | formula bmw europe | räikkönen robertson racing | 15 | 0 | 0 | 1 | 1 | 158 | 6th |\n| 2008 | formula bmw pacific | motaworld racing | 1 | 0 | 0 | 0 | 1 | 0 | nc |\n| 2008 | formula bmw world final | josef kaufmann racing | 1 | 0 | 0 | 0 | 1 | 0 | 2nd |\n| 2009 | formula bmw europe | mücke motorsport | 16 | 4 | 5 | 4 | 6 | 233 | 4th |\n| 2010 | gp3 series | mw arden | 16 | 0 | 0 | 0 | 0 | 0 | 31st |\n| 2011 | gp3 series | rsc mücke motorsport | 16 | 0 | 0 | 1 | 2 | 19 | 11th |\n| 2011 | adac gt masters | vulcan racing - mintgen motorsport | 6 | 0 | 0 | 0 | 0 | 0 | nc |" + } + ] + }, + { + "id": "table_recognition_train_item_48646", + "image": "table_instructV/images/TAT-QA_9d5adcb7-6bc0-4b86-b48e-fe9333bb6e7b.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| € million | 2017/2018 | 2018/2019 |\n| --- | --- | --- |\n| Actual taxes | 173 | 215 |\n| thereof Germany | (14) | (9) |\n| thereof international | (159) | (206) |\n| thereof tax expenses/income of current period | (194) | (221) |\n| thereof tax expenses/income of previous periods | (−21) | (−6) |\n| Deferred taxes | 43 | 83 |\n| thereof Germany | (39) | (104) |\n| thereof international | (4) | (−21) |\n| | 216 | 298 |" + } + ] + }, + { + "id": "table_recognition_train_item_49288", + "image": "table_instructV/images/TAT-QA_238470c9-1df0-48b4-bb8c-52fa57b0488d.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | As at December 31 | As at January 1 | As at December 31 |\n| --- | --- | --- | --- |\n| (In millions of dollars, except ratios) | 2019 | 2019 | 2018 |\n| Long-term debt 1 | 16,130 | 14,404 | 14,404 |\n| Net debt derivative assets valued without any adjustment for credit risk 2 | (1,414) | (1,448) | (1,448) |\n| Short-term borrowings | 2,238 | 2,255 | 2,255 |\n| Lease liabilities 3 | 1,725 | 1,545 | – |\n| Cash and cash equivalents | (494) | (405) | (405) |\n| Adjusted net debt 4 | 18,185 | 16,351 | 14,806 |\n| Divided by: trailing 12-month adjusted EBITDA 4 | 6,212 | 6,157 | 5,983 |\n| Debt leverage ratio 4 | 2.9 | 2.7 | 2.5 |" + } + ] + }, + { + "id": "table_recognition_train_item_64840", + "image": "table_instructV/images/TabFact_1-1341930-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| district | incumbent | party | first elected | result | candidates |\n| --- | --- | --- | --- | --- | --- |\n| arkansas 1 | ezekiel c gathings | democratic | 1938 | re - elected | ezekiel c gathings (d) unopposed |\n| arkansas 2 | wilbur mills | democratic | 1938 | re - elected | wilbur mills (d) unopposed |\n| arkansas 3 | james william trimble | democratic | 1944 | re - elected | james william trimble (d) unopposed |\n| arkansas 4 | oren harris | democratic | 1940 | re - elected | oren harris (d) unopposed |\n| arkansas 5 | brooks hays | democratic | 1942 | lost re - election democratic hold | dale alford ( w / i ) 51.0% brooks hays (d) 49.0% |" + } + ] + }, + { + "id": "table_recognition_train_item_32965", + "image": "table_instructV/images/TABMWP_24255.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| Employee | Pay period | |\n| --- | --- |\n| Lou Ryan | May | |\n| Total earnings | | $4,974.00 |\n| Federal income tax | $749.30 | |\n| Other taxes | $380.51 | |\n| Total taxes | | ? |\n| Pay after taxes | | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_34923", + "image": "table_instructV/images/TABMWP_17994.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $650 | 14,700 | 4,100 |\n| $700 | 11,500 | 5,600 |\n| $750 | 8,300 | 7,100 |\n| $800 | 5,100 | 8,600 |\n| $850 | 1,900 | 10,100 |" + } + ] + }, + { + "id": "table_recognition_train_item_50178", + "image": "table_instructV/images/TAT-QA_d91f1e81-c7cb-4bf6-ac7d-b55f5c1aa098.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| | June 30, 2019 | June 24, 2018 |\n| --- | --- | --- |\n| | (in thousands) | |\n| Manufacturing and engineering equipment | $1,039,454 | $911,140 |\n| Building sand improvements | 664,061 | 530,032 |\n| Computer and computer-related equipment | 190,974 | 182,451 |\n| Office equipment, furniture and fixtures | 82,115 | 66,378 |\n| Land | 46,155 | 46,155 |\n| | 2,022,759 | 1,736,156 |\n| Less: accumulated depreciation and amortization | (963,682) | (833,609) |\n| | $1,059,077 | $902,547 |" + } + ] + }, + { + "id": "table_recognition_train_item_31645", + "image": "table_instructV/images/TABMWP_9669.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Number of necklaces | Number of blue beads |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | 40 |\n| 5 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_61822", + "image": "table_instructV/images/TabFact_2-18504368-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| new area code | where | affected area codes | format | effective date |\n| --- | --- | --- | --- | --- |\n| 227 | maryland | 240 , 301 | overlay | none |\n| 274 | wisconsin | 920 | overlay | none |\n| 346 | texas | 281 , 713 , 832 | overlay | july 1 , 2014 |\n| 364 | kentucky | 270 | overlay | march 3 , 2014 |\n| 447 | illinois | 217 | overlay | none |\n| 464 | illinois | 708 | overlay | none |\n| 628 | california | 415 | overlay | none |\n| 629 | tennessee | 615 | overlay | none |\n| 659 | alabama | 205 | overlay | none |\n| 679 | michigan | 313 | overlay | none |\n| 725 | nevada | 702 | overlay | june 3 , 2014 |\n| 730 | illinois | 618 | overlay | none |\n| 782 | nova scotia and prince edward island | 902 | overlay | november 30 , 2014 |\n| 825 | alberta | 403 , 587 , 780 | overlay | april 9 , 2016 |\n| 844 | toll - free | 800888877866855 | overlay | december 7 , 2013 |\n| 930 | indiana | 812 | overlay | october 6 , 2014 |\n| 959 | connecticut | 860 | overlay | august 30 , 2014 |" + } + ] + }, + { + "id": "table_recognition_train_item_50284", + "image": "table_instructV/images/TAT-QA_38eb9da5-5c73-4366-af5f-9bd01019938a.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| | Number of Shares | Weighted-Average Grant Date Fair Value Per Share |\n| --- | --- | --- |\n| Outstanding as of August 30, 2018 | 15 | $25.18 |\n| Granted | 9 | 41.11 |\n| Restrictions lapsed | (6) | 24.22 |\n| Canceled | (2) | 24.79 |\n| Outstanding as of August 29, 2019 | 16 | 34.72 |" + } + ] + }, + { + "id": "table_recognition_train_item_115815", + "image": "table_instructV/images/Rotowire_train_table_2250.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 76ers | Philadelphia | 89 | 28 | 24 | 23 | 14 | 22 | 38 | 20 | 43 | 65 | 32 | 0 | 5 | | | | |\n| Magic | Orlando | 91 | 26 | 26 | 23 | 16 | 14 | 51 | 24 | 44 | 83 | 15 | 1 | 4 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Tony Wroten | 35 | 27 | 3 | 8 | 9-16 | 56% | 4-6 | 67% | 5-7 | 71% | 5 | 8 | 2 | 0 | 3 | 4 | G | Philadelphia |\n| Brandon Davies | 29 | 20 | 4 | 1 | 9-11 | 82% | 1-1 | 100% | 1-4 | 25% | 1 | 1 | 0 | 1 | 3 | 3 | F | Philadelphia |\n| KJ McDaniels | 29 | 12 | 2 | 0 | 5-10 | 50% | 1-2 | 50% | 1-1 | 100% | 0 | 1 | 3 | 0 | 2 | 1 | N/A | Philadelphia |\n| Alexey Shved | 19 | 9 | 0 | 3 | 2-9 | 22% | 1-4 | 25% | 4-4 | 100% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Philadelphia |\n| Hollis Thompson | 34 | 6 | 9 | 1 | 1-5 | 20% | 1-4 | 25% | 3-3 | 100% | 3 | 1 | 2 | 1 | 8 | 1 | G | Philadelphia |\n| Luc Mbah a Moute | 26 | 4 | 5 | 4 | 2-7 | 29% | 0-4 | 0% | 0-2 | 0% | 0 | 2 | 1 | 1 | 4 | 2 | F | Philadelphia |\n| Nerlens Noel | 17 | 4 | 2 | 3 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 1 | 1 | 1 | 0 | C | Philadelphia |\n| Henry Sims | 24 | 3 | 8 | 2 | 1-5 | 20% | 0-0 | 0% | 1-2 | 50% | 3 | 3 | 0 | 2 | 6 | 2 | N/A | Philadelphia |\n| Malcolm Thomas | 10 | 2 | 3 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 1 | N/A | Philadelphia |\n| JaKarr Sampson | 4 | 2 | 1 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 2 | 0 | 1 | 2 | N/A | Philadelphia |\n| Chris Johnson | 13 | 0 | 1 | 0 | 0-5 | 0% | 0-4 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 1 | 1 | N/A | Philadelphia |\n| Michael Carter-Williams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Tobias Harris | 36 | 18 | 8 | 1 | 8-18 | 44% | 0-3 | 0% | 2-2 | 100% | 2 | 2 | 1 | 2 | 6 | 2 | F | Orlando |\n| Nikola Vucevic | 36 | 17 | 5 | 3 | 8-16 | 50% | 0-0 | 0% | 1-1 | 100% | 0 | 5 | 1 | 2 | 3 | 2 | C | Orlando |\n| Ben Gordon | 20 | 15 | 1 | 0 | 5-11 | 46% | 0-1 | 0% | 5-6 | 83% | 0 | 2 | 0 | 0 | 1 | 3 | N/A | Orlando |\n| Channing Frye | 36 | 13 | 11 | 1 | 5-12 | 42% | 2-8 | 25% | 1-1 | 100% | 2 | 3 | 0 | 2 | 9 | 3 | F | Orlando |\n| Evan Fournier | 28 | 10 | 3 | 3 | 4-10 | 40% | 1-4 | 25% | 1-1 | 100% | 0 | 0 | 0 | 0 | 3 | 1 | G | Orlando |\n| Elfrid Payton | 28 | 8 | 6 | 5 | 4-8 | 50% | 0-0 | 0% | 0-1 | 0% | 4 | 4 | 1 | 3 | 3 | 2 | G | Orlando |\n| Maurice Harkless | 17 | 6 | 4 | 0 | 3-4 | 75% | 0-1 | 0% | 0-0 | 0% | 2 | 0 | 0 | 3 | 1 | 3 | N/A | Orlando |\n| Aaron Gordon | 7 | 2 | 5 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 4 | 0 | N/A | Orlando |\n| Luke Ridnour | 20 | 2 | 2 | 1 | 1-6 | 17% | 0-3 | 0% | 0-0 | 0% | 1 | 3 | 0 | 0 | 2 | 3 | N/A | Orlando |\n| Dewayne Dedmon | 10 | 0 | 6 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 0 | 1 | 5 | 1 | N/A | Orlando |\n| Devyn Marble | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Willie Green | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Andrew Nicholson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |" + } + ] + }, + { + "id": "table_recognition_train_item_34237", + "image": "table_instructV/images/TABMWP_37348.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of tables | Number of seats |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_68986", + "image": "table_instructV/images/TabFact_2-1769413-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| season | competition | round | club | home | away | aggregate |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1993 - 94 | uefa cup | last 64 | auxerre | 2 - 2 | 1 - 0 | 3 - 2 |\n| 1993 - 94 | uefa cup | last 32 | olympiacos | 2 - 1 | 3 - 4 | 5 - 5 |\n| 1993 - 94 | uefa cup | last 16 | juventus | 2 - 1 | 0 - 3 | 2 - 4 |\n| 1996 - 97 | uefa cup | last 64 | maccabi tel - aviv | 3 - 2 | 1 - 1 | 4 - 3 |\n| 1996 - 97 | uefa cup | last 32 | lazio | 5 - 3 | 0 - 1 | 5 - 4 |\n| 1996 - 97 | uefa cup | last 16 | feyenoord | 0 - 0 | 4 - 2 | 4 - 2 |\n| 1996 - 97 | uefa cup | quarterfinals | brøndby | 0 - 1 | 2 - 0 | 2 - 1 |\n| 1996 - 97 | uefa cup | semifinals | schalke 04 | 1 - 0 | 0 - 2 | 1 - 2 |" + } + ] + }, + { + "id": "table_recognition_train_item_34933", + "image": "table_instructV/images/TABMWP_18278.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Date | Description | Received | Expenses | Available Funds |\n| --- | --- | --- | --- | --- |\n| | Balance: end of May | | | $304.75 |\n| 6/10 | flashlight | | $9.85 | $294.90 |\n| 6/10 | bug spray | | $6.10 | $288.80 |\n| 6/25 | camp counselor | $55.00 | | $343.80 |" + } + ] + }, + { + "id": "table_recognition_train_item_113063", + "image": "table_instructV/images/Rotowire_train_table_874.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Mavericks | Dallas | 107 | 22 | 19 | 27 | 30 | 21 | 43 | 12 | 45 | 75 | 35 | 14 | 29 | | | | |\n| Jazz | Utah | 112 | 19 | 27 | 26 | 26 | 17 | 53 | 14 | 46 | 72 | 35 | 28 | 16 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Mavericks | | | | | | | | | | | | | | | | | | |\n| Harrison Barnes | 40 | 19 | 5 | 1 | 7-16 | 44% | 1-2 | 50% | 4-6 | 67% | 0 | 2 | 1 | 1 | 4 | 0 | F | Dallas |\n| Deron Williams | 35 | 16 | 4 | 8 | 6-14 | 43% | 1-3 | 33% | 3-5 | 60% | 0 | 3 | 0 | 1 | 3 | 2 | G | Dallas |\n| Seth Curry | 30 | 15 | 4 | 0 | 5-8 | 63% | 2-3 | 67% | 3-4 | 75% | 1 | 1 | 0 | 0 | 4 | 5 | G | Dallas |\n| Dwight Powell | 27 | 14 | 3 | 0 | 5-6 | 83% | 0-0 | 0% | 4-6 | 67% | 0 | 0 | 0 | 2 | 1 | 5 | N/A | Dallas |\n| Wesley Matthews | 39 | 11 | 8 | 3 | 4-10 | 40% | 1-4 | 25% | 2-2 | 100% | 1 | 2 | 0 | 1 | 7 | 4 | F | Dallas |\n| J.J. Barea | 23 | 10 | 5 | 6 | 5-10 | 50% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 5 | 1 | N/A | Dallas |\n| Devin Harris | 18 | 10 | 0 | 3 | 2-4 | 50% | 2-4 | 50% | 4-4 | 100% | 0 | 2 | 0 | 0 | 0 | 3 | N/A | Dallas |\n| Dorian Finney-Smith | 14 | 7 | 2 | 0 | 3-4 | 75% | 1-1 | 100% | 0-0 | 0% | 1 | 0 | 0 | 1 | 1 | 1 | N/A | Dallas |\n| Dirk Nowitzki | 25 | 3 | 10 | 0 | 1-13 | 8% | 0-4 | 0% | 1-1 | 100% | 0 | 0 | 0 | 2 | 8 | 3 | C | Dallas |\n| Justin Anderson | 2 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Dallas |\n| Salah Mejri | 12 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 1 | 1 | 2 | N/A | Dallas |\n| Nicolas Brussino | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| Pierre Jackson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| Jazz | | | | | | | | | | | | | | | | | | |\n| Rudy Gobert | 41 | 27 | 25 | 1 | 8-12 | 67% | 0-0 | 0% | 11-17 | 65% | 1 | 2 | 2 | 10 | 15 | 3 | C | Utah |\n| Gordon Hayward | 38 | 26 | 7 | 4 | 8-22 | 36% | 3-7 | 43% | 7-8 | 88% | 1 | 3 | 1 | 2 | 5 | 3 | F | Utah |\n| Joe Johnson | 31 | 15 | 5 | 1 | 7-11 | 64% | 1-3 | 33% | 0-0 | 0% | 0 | 1 | 1 | 2 | 3 | 1 | N/A | Utah |\n| George Hill | 31 | 13 | 1 | 1 | 5-13 | 39% | 1-4 | 25% | 2-2 | 100% | 0 | 2 | 0 | 0 | 1 | 6 | G | Utah |\n| Joe Ingles | 38 | 12 | 3 | 4 | 4-9 | 44% | 2-4 | 50% | 2-2 | 100% | 3 | 2 | 0 | 0 | 3 | 1 | G | Utah |\n| Alec Burks | 12 | 7 | 2 | 0 | 1-3 | 33% | 1-3 | 33% | 4-6 | 67% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Utah |\n| Derrick Favors | 26 | 5 | 4 | 0 | 2-5 | 40% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 1 | 1 | 3 | 4 | F | Utah |\n| Boris Diaw | 17 | 4 | 2 | 2 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 2 | N/A | Utah |\n| Trey Lyles | 16 | 3 | 4 | 1 | 1-4 | 25% | 0-1 | 0% | 1-2 | 50% | 1 | 0 | 0 | 0 | 4 | 1 | N/A | Utah |\n| Raul Neto | 14 | 0 | 0 | 3 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 2 | 1 | 0 | 0 | 0 | 4 | N/A | Utah |\n| Shelvin Mack | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Dante Exum | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Jeff Withey | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |" + } + ] + }, + { + "id": "table_recognition_train_item_68756", + "image": "table_instructV/images/TabFact_2-1507170-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| date | tournament | winning score | margin of victory | runner (s) - up |\n| --- | --- | --- | --- | --- |\n| aug 4 , 1996 | buick open | - 22 (65 + 64 + 69 + 68 = 266) | 5 strokes | chip beck |\n| jun 8 , 1997 | kemper open | - 10 (69 + 69 + 69 + 67 = 274) | 1 stroke | mark wiebe |\n| jul 20 , 1997 | the open championship | - 12 (69 + 66 + 72 + 65 = 272) | 3 strokes | darren clarke , jesper parnevik |\n| mar 29 , 1998 | the players championship | - 10 (72 + 69 + 70 + 67 = 278) | 2 strokes | glen day , tom lehman |\n| sep 24 , 2000 | westin texas open at lacantera | - 19 (64 + 68 + 65 + 64 = 261) | 5 strokes | mark wiebe |\n| sep 30 , 2001 | texas open at lacantera | - 14 (65 + 64 + 68 + 69 = 266) | 2 strokes | j j henry , matt kuchar |\n| apr 21 , 2002 | worldcom classic - the heritage of golf | - 14 (67 + 64 + 66 + 73 = 270) | 1 stroke | heath slocum |\n| mar 16 , 2003 | the honda classic | - 24 (63 + 70 + 64 + 67 = 264) | 1 stroke | chad campbell , davis love iii |\n| jan 30 , 2005 | bob hope chrysler classic | - 28 (66 - 67 + 68 + 64 + 67 = 332) | 3 strokes | tim clark , joe ogilvie |\n| may 29 , 2005 | fedex st jude classic | - 14 (62 + 65 + 66 + 73 = 266) | 1 stroke | david toms |\n| oct 7 , 2007 | valero texas open | - 19 (65 + 67 + 64 + 65 = 261) | playoff | jesper parnevik |\n| jun 8 , 2008 | stanford st jude championship | - 4 (68 + 73 + 67 + 68 = 276) | playoff | robert allenby , trevor immelman |" + } + ] + }, + { + "id": "table_recognition_train_item_54424", + "image": "table_instructV/images/TabFact_2-11063491-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| rank | name | location | country | designer , year |\n| --- | --- | --- | --- | --- |\n| 1 | pine valley | pine valley | united states | george crump / harry colt , 1918 |\n| 2 | cypress point | pebble beach | united states | alister mackenzie , 1918 |\n| 3 | st andrews (old course) | st andrews | scotland | nature |\n| 4 | augusta national | augusta | united states | alister mackenzie / bobby jones , 1933 |\n| 5 | pebble beach | pebble beach | united states | jack neville / douglas grant , 1919 |\n| 6 | shinnecock hills | southampton | united states | william flynn , 1931 |\n| 7 | royal county down | newcastle | northern ireland | tom morris , 1889 |\n| 8 | muirfield | gullane | scotland | tom morris / harry colt , 1891 / 1925 |\n| 9 | oakmont | oakmont | united states | henry fownes , 1903 |\n| 10 | merion (east) | ardmore | united states | hugh wilson , 1912 |" + } + ] + }, + { + "id": "table_recognition_train_item_100493", + "image": "table_instructV/images/ToTTo_train_table_2067.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Season | Coach | Bowl | Opponent | Result |\n| --- | --- | --- | --- | --- |\n| 1951 | Clyde Lee | Salad Bowl | Dayton | W 26–21 |\n| 1962 | Bill Yeoman | Tangerine Bowl | Miami | W 49–21 |\n| 1969 | Bill Yeoman | Astro-Bluebonnet Bowl | Auburn | W 37–7 |\n| 1971 | Bill Yeoman | Astro-Bluebonnet Bowl | Colorado | L 17–29 |\n| 1973 | Bill Yeoman | Astro-Bluebonnet Bowl | Tulane | W 47–7 |\n| 1974 | Bill Yeoman | Astro-Bluebonnet Bowl | NC State | T 31–31 |\n| 1976 | Bill Yeoman | Cotton Bowl Classic | Maryland | W 30–21 |\n| 1978 | Bill Yeoman | Cotton Bowl Classic | Notre Dame | L 34–35 |\n| 1979 | Bill Yeoman | Cotton Bowl Classic | Nebraska | W 17–14 |\n| 1980 | Bill Yeoman | Garden State Bowl | Navy | W 35–0 |\n| 1981 | Bill Yeoman | Sun Bowl | Oklahoma | L 14–40 |\n| 1984 | Bill Yeoman | Cotton Bowl Classic | Boston College | L 28–45 |\n| 1988 | Jack Pardee | Aloha Bowl | Washington State | L 22–24 |\n| 1996 | Kim Helton | Liberty Bowl | Syracuse | L 17–30 |\n| 2003 | Art Briles | Hawaii Bowl | Hawaii | L 48–54 |\n| 2005 | Art Briles | Fort Worth Bowl | Kansas | L 13–42 |\n| 2006 | Art Briles | Liberty Bowl | South Carolina | L 36–44 |\n| 2007 | Chris Thurmond | Texas Bowl | TCU | L 13–20 |\n| 2008 | Kevin Sumlin | Armed Forces Bowl | Air Force | W 34–28 |\n| 2009 | Kevin Sumlin | Armed Forces Bowl | Air Force | L 20–47 |\n| 2011 | Tony Levine | TicketCity Bowl | Penn State | W 30–14 |\n| 2013 | Tony Levine | BBVA Compass Bowl | Vanderbilt | L 24–41 |\n| 2014 | David Gibbs | Armed Forces Bowl | Pittsburgh | W 35–34 |\n| 2015 | Tom Herman | Peach Bowl | Florida State | W 38–24 |\n| 2016 | Major Applewhite | Las Vegas Bowl | San Diego State | L 10–34 |\n| 2017 | Major Applewhite | Hawaii Bowl | Fresno State | L 27–33 |\n| 2018 | Major Applewhite | Armed Forces Bowl | Army | L 14–70 |" + } + ] + }, + { + "id": "table_recognition_train_item_66006", + "image": "table_instructV/images/TabFact_2-16678131-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| season | races | wins | podiums | poles | fastest laps |\n| --- | --- | --- | --- | --- | --- |\n| 2003 | 10 | 0 | 0 | 0 | 0 |\n| 2003 | 5 | 0 | 0 | 0 | 0 |\n| 2004 | 14 | 0 | 0 | 0 | 0 |\n| 2005 | 16 | 1 | 2 | 0 | 0 |\n| 2006 | 14 | 0 | 0 | 0 | 0 |\n| 2007 | 15 | 0 | 0 | 0 | 0 |\n| 2008 | 17 | 4 | 9 | 2 | 4 |\n| 2009 | 16 | 0 | 2 | 1 | 0 |\n| 2010 | 16 | 0 | 0 | 0 | 0 |\n| 2011 | 17 | 0 | 0 | 0 | 0 |\n| 2012 | 16 | 0 | 0 | 0 | 0 |\n| 2013 | 10 | 0 | 0 | 0 | 0 |\n| total | 166 | 5 | 13 | 3 | 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_58824", + "image": "table_instructV/images/TabFact_2-12572213-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| place | player | country | score | to par |\n| --- | --- | --- | --- | --- |\n| 1 | horton smith | united states | 70 + 72 = 142 | - 2 |\n| t3 | ed dudley | united states | 74 + 69 = 143 | - 1 |\n| t3 | billy burke | united states | 72 + 71 = 143 | - 1 |\n| t4 | macdonald smith | scotland | 74 + 70 = 144 | e |\n| t4 | jimmy hines | united states | 70 + 74 = 144 | e |\n| t6 | al espinosa | united states | 75 + 70 = 145 | + 1 |\n| t6 | leo diegel | united states | 73 + 72 = 145 | + 1 |\n| t6 | craig wood | united states | 71 + 74 = 145 | + 1 |\n| t9 | denny shute | united states | 73 + 73 = 146 | + 2 |\n| t9 | johnny golden | united states | 71 + 75 = 146 | + 2 |" + } + ] + }, + { + "id": "table_recognition_train_item_106091", + "image": "table_instructV/images/ToTTo_train_table_25594.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| # | Name | Term | Life |\n| --- | --- | --- | --- |\n| 1 | Guy C. H. Corliss | 1889–1892 | 1858–1937 |\n| 2 | Joseph Bartholomew | 1892–1894 | 1843–1901 |\n| 3 | Alfred Wallin | 1894–1896 | 1836–1923 |\n| 4 | Guy C. H. Corliss | 1896–1899 | 1858–1937 |\n| 5 | Joseph Bartholomew | 1899–1901 | 1843–1901 |\n| 6 | Alfred Wallin | 1901–1903 | 1836–1923 |\n| 7 | Newton C. Young | 1903–1906 | 1862–1923 |\n| 8 | David Morgan | 1906–1911 | 1849–1912 |\n| 9 | Burleigh F. Spalding | 1911–1915 | 1853–1934 |\n| 10 | Charles Fisk | 1915–1917 | 1862–1932 |\n| 11 | Andrew A. Bruce | 1917–1918 | 1866–1934 |\n| 12 | Adolph M. Christianson | 1918–1921 | 1877–1954 |\n| 13 | James Robinson | 1921 | 1843–1933 |\n| 14 | Richard Grace | 1921–1922 | 1868–1929 |\n| 15 | Luther E. Birdzell | 1922–1923 | 1880–1973 |\n| 16 | Harrison A. Bronson | 1923–1925 | 1873–1947 |\n| 17 | Adolph M. Christianson | 1925–1927 | 1877–1954 |\n| 18 | Luther E. Birdzell | 1927–1928 | 1880–1973 |\n| 19 | William Nuessle | 1928–1929 | 1878–1959 |\n| 20 | John Burke | 1929–1931 | 1859–1937 |\n| 21 | Adolph M. Christianson | 1931–1933 | 1877–1954 |\n| 22 | William Nuessle | 1933 | 1878–1959 |\n| 23 | Luther E. Birdzell | 1933 | 1880–1973 |\n| 24 | Alexander Burr | 1933–1935 | 1871–1951 |\n| 25 | John Burke | 1935–1937 | 1859–1937 |\n| 26 | Adolph M. Christianson | 1937–1939 | 1877–1954 |\n| 27 | William Nuessle | 1939–1941 | 1878–1959 |\n| 28 | Alexander Burr | 1941–1943 | 1871–1951 |\n| 29 | James Morris | 1943–1945 | 1893–1980 |\n| 30 | Adolph M. Christianson | 1945–1949 | 1877–1954 |\n| 31 | William Nuessle | 1949–1951 | 1878–1959 |\n| 32 | James Morris | 1951–1955 | 1893–1980 |\n| 33 | Thomas J. Burke | 1955–1957 | 1896–1966 |\n| 34 | Gudmunder Grimson | 1957–1959 | 1878–1965 |\n| 35 | Peter O. (P.O.) Sathre | 1959–1963 | 1876–1968 |\n| 36 | James Morris | 1963–1965 | 1893–1980 |\n| 37 | Thomas J. Burke | 1965–1966 | 1896–1966 |\n| 38 | Obert C. Teigen | 1965–1966 | 1908–1978 |\n| 39 | Alvin C. Strutz | 1967 | 1903–1973 |\n| 40 | Obert C. Teigen | 1967–1971 | 1908–1978 |\n| 41 | Alvin C. Strutz | 1971–1973 | 1903–1973 |\n| 42 | Ralph J. Erickstad | 1973–1992 | 1922–2001 |\n| 43 | Gerald W. VandeWalle | 1993–present | 1933– |" + } + ] + }, + { + "id": "table_recognition_train_item_31619", + "image": "table_instructV/images/TABMWP_9412.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $330 | 21,000 | 11,900 |\n| $520 | 20,500 | 14,500 |\n| $710 | 20,000 | 17,100 |\n| $900 | 19,500 | 19,700 |\n| $1,090 | 19,000 | 22,300 |" + } + ] + }, + { + "id": "table_recognition_train_item_53044", + "image": "table_instructV/images/TabFact_1-26040604-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| model | launch | code name | transistors (million) | die size (mm 2 ) | bus interface | memory ( mb ) | sm count | core config 1 , 3 | core ( mhz ) | shader ( mhz ) | memory ( mhz ) | pixel ( gp / s) | texture ( gt / s) | bandwidth ( gb / s) | dram type | bus width ( bit ) | gflops (fma) 2 | tdp (watts) | release price (usd) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| geforce 405 (oem) | september 16 , 2011 | gt218 | 260 | 57 | pcie 2.0 x16 | 512 1024 | 1 | 16:8:4 | 589 | 1402 | 1580 | 2.4 | 4.7 | 12.6 | gddr3 | 64 | 44.9 | 25 | oem |\n| geforce gt 420 (oem) | september 3 , 2010 | gf108 | 585 | 116 | pcie 2.0 x16 | 2048 | 1 | 48:8:4 | 700 | 1400 | 1800 | 2.8 | 5.6 | 28.8 | gddr3 | 128 | 134.4 | 50 | oem |\n| geforce gt 430 (oem) | october 11 , 2010 | gf108 | 585 | 116 | pcie 2.0 x16 | 2048 | 2 | 96:16:4 | 700 | 1400 | 1600 1800 | 2.8 | 11.2 | 25.6 28.8 | gddr3 | 128 | 268.8 | 60 | oem |\n| geforce gt 430 | october 11 , 2010 | gf108 | 585 | 116 | pcie 2.0 x16 | 1024 | 2 | 96:16:4 | 700 | 1400 | 1800 | 2.8 | 11.2 | 28.8 | gddr3 | 128 | 268.8 | 49 | 79 |\n| geforce gt 440 | february 1 , 2011 | gf108 | 585 | 116 | pcie 2.0 x16 | 512 1024 2048 | 2 | 96:16:4 | 810 | 1620 | 1800 3200 | 13.2 | 13.2 | 28.8 51.2 | gddr3 gddr5 | 128 | 311 | 65 | 79 |\n| geforce gt 440 (oem) | october 11 , 2010 | gf106 | 1170 | 238 | pcie 2.0 x16 | 1536 3072 | 3 | 144:24:24 | 594 | 1189 | 1800 | 14.26 | 14.26 | 43.2 | gddr3 | 192 | 342.4 | 56 | oem |\n| geforce gts 450 (oem) | october 11 , 2010 | gf106 | 1170 | 238 | pcie 2.0 x16 | 1024 1536 | 3 | 144:24:24 | 790 | 1580 | 1804 | 18.96 | 18.96 | 86 | gddr5 | 192 | 455 | 106 | oem |\n| geforce gts 450 | september 13 , 2010 | gf106 | 1170 | 238 | pcie 2.0 x16 | 512 1024 2048 | 4 | 192:32:16 | 783 | 1566 | 1804 | 12.53 | 25.06 | 57.73 | gddr3 gddr5 | 128 | 601.3 | 106 | 129 |\n| geforce gtx 460 se | november 15 , 2010 | gf104 | 1950 | 332 | pcie 2.0 x16 | 1024 | 6 | 288:48:32 | 650 | 1300 | 3400 | 20.8 | 31.2 | 108.8 | gddr5 | 256 | 748.8 | 150 | 160 - 180 |\n| geforce gtx 460 (oem) | october 11 , 2010 | gf104 | 1950 | 332 | pcie 2.0 x16 | 1024 | 7 | 336:56:32 | 650 | 1300 | 3400 | 20.8 | 36.4 | 108.8 | gddr5 | 256 | 873.6 | 150 | oem |\n| geforce gtx 460 | july 12 , 2010 | gf104 | 1950 | 332 | pcie 2.0 x16 | 768 | 7 | 336:56:24 | 675 | 1350 | 3600 | 16.2 | 37.8 | 86.4 | gddr5 | 192 | 907.2 | 150 | 199 |\n| geforce gtx 460 | july 12 , 2010 | gf104 | 1950 | 332 | pcie 2.0 x16 | 1024 | 7 | 336:56:32 | 675 | 1350 | 3600 | 21.6 | 37.8 | 115.2 | gddr5 | 256 | 907.2 | 160 | 229 |\n| geforce gtx 460 v2 | september 24 , 2011 | gf114 | 1950 | 332 | pcie 2.0 x16 | 1024 | 7 | 336:56:24 | 778 | 1556 | 4008 | 18.67 | 43.57 | 96.2 | gddr5 | 192 | 1045.6 | 160 | 199 |\n| geforce gtx 465 | may 31 , 2010 | gf100 | 3200 | 529 | pcie 2.0 x16 | 1024 | 11 | 352:44:32 | 607 | 1215 | 3206 | 19.42 | 26.71 | 102.6 | gddr5 | 256 | 855.4 | 200 | 279 |\n| geforce gtx 470 | march 26 , 2010 | gf100 | 3200 | 529 | pcie 2.0 x16 | 1280 | 14 | 448:56:40 | 607 | 1215 | 3348 | 24.28 | 34 | 133.9 | gddr5 | 320 | 1088.6 | 215 | 349 |" + } + ] + }, + { + "id": "table_recognition_train_item_101970", + "image": "table_instructV/images/ToTTo_train_table_8384.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Name | Nationality | Position | Ipswich Town career | Appearances | Goals | Ref(s) |\n| --- | --- | --- | --- | --- | --- | --- |\n| Jimmy McLuckie | Scotland | Wing half | 1936–1945 | 57 | 3 | |\n| George Perrett | England | Half back | 1936–1949 | 145 | 4 | |\n| Ossie Parry | Wales | Full back | 1936–1949 | 122 | 0 | |\n| Jackie Little | England | Forward | 1936–1950 | 168 | 25 | |\n| Dave Bell | Scotland | Full back | 1938–1950 | 187 | 3 | |\n| Mick Burns | England | Goalkeeper | 1938–1952 | 168 | 0 | |\n| Tommy Parker | England | Wing half/Inside forward | 1945–1956 | 475 | 95 | |\n| George Rumbold | England | Full back | 1946–1950 | 130 | 11 | |\n| Harry Baird | Northern Ireland | Wing half | 1946–1951 | 227 | 7 | |\n| Stan Parker | England | Forward | 1946–1951 | 141 | 51 | |\n| Tom Brown | Scotland | Goalkeeper | 1946–1951 | 116 | 0 | |\n| Bill Jennings | England | Forward | 1947–1951 | 108 | 42 | |\n| Jackie Brown | Northern Ireland | Winger | 1948–1951 | 103 | 27 | |\n| Doug Rees | Wales | Inside forward | 1949–1959 | 387 | 1 | |\n| Neil Myles | Scotland | Wing half | 1949–1959 | 245 | 18 | |\n| John Elsworthy* | Wales | Wing half | 1949–1964 | 435 | 52 | |\n| Sammy McCrory | Northern Ireland | Inside forward | 1950–1952 | 102 | 40 | |\n| Jim Feeney | Northern Ireland | Centre half | 1950–1955 | 232 | 0 | |\n| Jack Parry | Wales | Goalkeeper | 1951–1955 | 154 | 0 | |\n| Tom Garneys | England | Forward | 1951–1958 | 273 | 143 | |\n| Basil Acres* | England | Full back | 1951–1960 | 232 | 6 | |\n| Billy Reed | Wales+ | Right winger | 1953–1958 | 168 | 46 | |\n| George MacLuckie | Scotland | Winger | 1953–1958 | 152 | 25 | |\n| Ken Malcolm | Scotland | Left full back | 1954–1963 | 291 | 2 | |\n| Ted Phillips* | England | Inside forward | 1954–1964 | 295 | 181^ | |\n| Jimmy Leadbetter* | Scotland | Winger/Midfielder | 1955–1965 | 375 | 49 | |\n| Doug Millward | England | Forward | 1956–1963 | 155 | 36 | |\n| Roy Bailey* | England | Goalkeeper | 1956–1964 | 346 | 0 | |\n| Larry Carberry* | England | Right full back | 1956–1964 | 285 | 0 | |\n| Reg Pickett | England | Wing half | 1957–1962 | 148 | 4 | |\n| Dermot Curtis | Ireland+ | Forward | 1958–1963 | 42 | 17 | |\n| Ray Crawford* | England+ | Forward | 1958–1969 | 354 | 218^ | |\n| Andy Nelson* | England | Centre half | 1959–1964 | 215 | 0 | |\n| Roy Stephenson* | England | Right winger | 1960–1964 | 163 | 26 | |\n| John Compton* | England | Full back | 1960–1964 | 131 | 0 | |\n| Billy Baxter* | Scotland | Centre half | 1960–1971 | 459 | 22 | |\n| Doug Moran* | Scotland | Inside forward | 1961–1964 | 123 | 37 | |\n| Gerry Baker | United States | Forward | 1963–1967 | 151 | 66 | |\n| Joe Broadfoot | England | Winger | 1963–1968 | 115 | 21 | |\n| Danny Hegan* | Northern Ireland | Midfielder | 1963–1969 | 230 | 38 | |\n| Ken Hancock | England | Goalkeeper | 1964–1968 | 180 | 0 | |\n| Cyril Lea* | Wales+ | Wing half | 1964–1969 | 123 | 2 | |\n| Frank Brogan | Scotland | Winger | 1964–1970 | 223 | 69 | |\n| Mick McNeil | England | Defender | 1964–1972 | 173 | 5 | |\n| Billy Houghton | England | Full back | 1966–1969 | 117 | 3 | |\n| Chris Barnard | England | Midfielder | 1966–1970 | 176 | 6 | |\n| Colin Harper* | England | Full back | 1966–1974 | 176 | 6 | |\n| Mick Mills* | England+ | Full back/Midfielder | 1966–1983 | 741^ | 30 | |\n| Ron Wigg | Ireland+ | forward | 1967–1970 | 37 | 14 | |\n| Tommy Carroll | Ireland+ | Right full back | 1967–1971 | 126 | 3 | |\n| Derek Jefferson | England | Central defender | 1967–1972 | 175 | 1 | |\n| Colin Viljoen | England+ | Midfielder | 1967–1978 | 372 | 54 | |\n| Peter Morris | England | Midfielder | 1968–1974 | 258 | 16 | |\n| David Best | England | Goalkeeper | 1968–1974 | 199 | 0 | |\n| Mick Hill | Wales+ | Forward | 1969–1972 | 77 | 20 | |\n| Ian Collard | England | Midfielder | 1969–1975 | 111 | 6 | |\n| Mick Lambert* | England | Winger | 1969–1979 | 263 | 45 | |\n| Clive Woods* | England | Midfielder/Forward | 1969–1980 | 338 | 31 | |\n| Trevor Whymark* | England+ | Forward | 1970–1979 | 335 | 104 | |\n| Laurie Sivell | England | Goalkeeper | 1970–1984 | 175 | 0 | |\n| Bryan Hamilton* | Northern Ireland+ | Midfielder | 1971–1975 | 199 | 56 | |\n| Allan Hunter* | Northern Ireland+^ | Central defender | 1971–1982 | 355 | 10 | |\n| Dave Johnson* | England+ | Forward | 1972–1976 | 178 | 46 | |\n| Kevin Beattie* | England+ | Central defender | 1972–1981 | 307 | 32 | |\n| Roger Osborne* | England | Midfielder | 1973–1980 | 149 | 10 | |\n| George Burley* | Scotland+ | Right full back | 1973–1985 | 500 | 10 | |\n| Eric Gates* | England+ | Forward/Midfielder | 1973–1985 | 378 | 96 | |\n| Bruce Twamley | Canada+ | Full back | 1974–1975 | 2 | 0 | |\n| Brian Talbot* | England+ | Midfielder | 1974–1978 | 227 | 31 | |\n| Paul Cooper* | England | Goalkeeper | 1974–1987 | 575 | 0 | |\n| Pat Sharkey | Northern Ireland+ | Midfielder | 1975–1977 | 19 | 1 | |\n| John Wark* | Scotland+ | Midfielder | 1975–1996 | 678 | 190 | |\n| Paul Mariner* | England+ | Forward | 1976–1984 | 339 | 135 | |\n| Russell Osman* | England+ | Central defender | 1977–1985 | 385 | 21 | |\n| Arnold Mühren* | Netherlands+ | Midfielder | 1978–1982 | 214 | 29 | |\n| Alan Brazil* | Scotland+ | Forward | 1978–1983 | 210 | 80 | |\n| Terry Butcher* | England+ | Central defender | 1978–1986 | 350 | 21 | |\n| Frans Thijssen* | Netherlands+ | Midfielder | 1979–1983 | 170 | 16 | |\n| Steve McCall | England | Left back/Midfielder | 1979–1987 | 340 | 12 | |\n| Mich D'Avray | South Africa | Forward | 1979–1990 | 255 | 45 | |\n| Kevin O'Callaghan | Ireland+ | Left winger | 1980–1984 | 147 | 5 | |\n| Trevor Putney | England | Midfielder | 1982–1986 | 127 | 9 | |\n| Mark Brennan | England | Midfielder | 1983–1988 | 212 | 25 | |\n| Ian Cranson | England | Central defender | 1983–1988 | 165 | 5 | |\n| Romeo Zondervan | Netherlands | Midfielder | 1984–1992 | 325 | 20 | |\n| Frank Yallop | Canada+ | Full back | 1984–1996 | 386 | 8 | |\n| Jason Dozzell* | England | Midfielder | 1984–1997 | 414 | 72 | |\n| Kevin Wilson | Northern Ireland+ | Forward | 1985–1987 | 125 | 49 | |\n| Mick Stockwell* | England | Midfielder | 1985–2000 | 608 | 44 | |\n| Tony Humes | England | Midfielder | 1986–1991 | 140 | 12 | |\n| David Lowe | England | Midfielder | 1987–1991 | 169 | 42 | |\n| Simon Milton* | England | Midfielder | 1987–1998 | 332 | 55 | |\n| David Linighan | England | Central defender | 1988–1995 | 327 | 13 | |\n| Chris Kiwomya | England | Forward | 1988–1995 | 259 | 62 | |\n| Craig Forrest | Canada+ | Goalkeeper | 1988–1997 | 304 | 0 | |\n| Neil Thompson | England | Left back | 1989–1995 | 246 | 23 | |\n| Gavin Johnson | England | Defender | 1989–1995 | 160 | 16 | |\n| Steve Palmer | England | Defender | 1989–1995 | 131 | 3 | |\n| Steve Whitton | England | Forward | 1991–1994 | 109 | 19 | |\n| Bontcho Guentchev | Bulgaria+ | Forward | 1992–1995 | 75 | 11 | |\n| Geraint Williams | Wales+ | Midfielder | 1992–1998 | 264 | 2 | |\n| Paul Mason | England | Midfielder | 1993–1998 | 134 | 35 | |\n| Steve Sedgley | England | Midfielder | 1994–1997 | 135 | 16 | |\n| Claus Thomsen | Denmark+ | Defender | 1994–1997 | 97 | 8 | |\n| Mauricio Taricco | Argentina | Defender | 1994–1998 | 170 | 7 | |\n| Alex Mathie | Scotland | Forward | 1995–1998 | 132 | 47 | |\n| Gus Uhlenbeek | Netherlands | Defender | 1995–1998 | 112 | 4 | |\n| Tony Mowbray* | England | Central defender | 1995–2000 | 153 | 8 | |\n| Richard Wright | England+ | Goalkeeper | 1995–2001 2008–2010 2011–2012 | 362 | 0 | |\n| James Scowcroft | England | Forward | 1995–2001 2004–2005 | 257 | 55 | |\n| Richard Naylor | England | Forward/Defender | 1996–2009 | 362 | 40 | |\n| Danny Sonner | Northern Ireland+ | Midfielder | 1996–1998 | 69 | 4 | |\n| Kieron Dyer | England | Midfielder | 1996–1999 | 110 | 15 | |\n| David Johnson | Jamaica+ | Forward | 1997–2000 | 158 | 62 | |\n| Mark Venus | England | Defender | 1997–2002 | 184 | 19 | |\n| Matt Holland* | Ireland+ | Midfielder | 1997–2003 | 314 | 46 | |\n| Jamie Clapham | England | Defender | 1998–2003 | 252 | 16 | |\n| Fabian Wilnis | Netherlands | Defender | 1999–2008 | 311 | 6 | |\n| Jermaine Wright | England | Midfielder | 1999–2004 | 221 | 11 | |\n| John McGreal | England | Defender | 1999–2004 | 150 | 5 | |\n| Jim Magilton | Northern Ireland+ | Midfielder | 1999–2006 | 322 | 22 | |\n| Amir Karič | Slovenia+ | Defender | 2000–2001 | 3 | 0 | |\n| Hermann Hreiðarsson | Iceland+ | Defender | 2000–2003 | 128 | 3 | |\n| Martijn Reuser | Netherlands | Midfielder | 2000–2004 | 114 | 19 | |\n| Tommy Miller | England | Midfielder | 2001–2005 2007–2009 | 204 | 45 | |\n| Pablo Couñago | Spain | Forward | 2001–2005 2007–2011 | 242 | 62 | |\n| Finidi George | Nigeria+ | Forward | 2001–2002 | 46 | 8 | |\n| Matteo Sereni^ | Italy | Goalkeeper | 2001–2003 | 33 | 0 | |\n| Darren Bent | England | Forward | 2001–2005 | 142 | 57 | |\n| Matt Richards | England | Full back | 2002–2009 | 162 | 9 | |\n| Ian Westlake | England | Midfielder | 2002–2006 | 121 | 17 | |\n| Shefki Kuqi | Finland+ | Forward | 2003–2005 2007–2008 | 88 | 33 | |\n| Jason de Vos | Canada+ | Defender | 2004–2008 | 177 | 11 | |\n| Lewis Price | Wales+ | Goalkeeper | 2004–2007 | 75 | 0 | |\n| Owen Garvan | Ireland | Midfielder | 2005–2010 | 169 | 15 | |\n| Danny Haynes | England | Forward | 2005–2009 | 128 | 19 | |\n| Gavin Williams | Wales+ | Midfielder | 2005–2007 | 59 | 3 | |\n| Jaime Peters | Canada+ | Midfielder | 2005–2012 | 114 | 4 | |\n| Alan Lee | Ireland+ | Forward | 2006–2008 | 109 | 34 | |\n| Alex Bruce | Ireland+ | Defender | 2006–2010 | 127 | 3 | |\n| David Wright | England | Defender | 2006–2010 | 120 | 5 | |\n| Jonathan Walters | Ireland | Midfielder | 2006–2010 2018 | 149 | 32 | |\n| Velice Šumulikoski | North Macedonia+ | Midfielder | 2007–2009 | 43 | 1 | |\n| David Norris | England | Midfielder | 2008–2011 | 118 | 16 | |\n| Gareth McAuley | Northern Ireland+ | Defender | 2008–2011 | 127 | 8 | |\n| Giovani Dos Santos | Mexico+ | Midfielder | 2008–2009 | 8 | 4 | |\n| Tommy Smith | New Zealand+ | Defender | 2007–2018 | 267 | 23 | |\n| Reggie Lambe | Bermuda+ | Midfielder | 2009–2011 | 5 | 0 | |\n| Connor Wickham^ | England | Forward | 2009–2011 | 72 | 15 | |\n| Tamás Priskin | Hungary+ | Forward | 2009–2012 | 60 | 9 | |\n| Damien Delaney | Ireland+ | Defender | 2009–2012 | 106 | 3 | |\n| Lee Martin | England | Midfielder | 2009–2013 | 106 | 6 | |\n| Carlos Edwards | Trinidad and Tobago+ | Full back/Winger | 2009–2014 | 191 | 10 | |\n| Grant Leadbitter | England | Midfielder | 2009–2012 | 126 | 14 | |\n| Daryl Murphy | Ireland+ | Forward | 2010 2011–2016 | 225 | 67 | |\n| Luke Hyam | England | Midfielder | 2010–2018 | 146 | 3 | |\n| Aaron Cresswell | England | Full back | 2011–2014 | 138 | 7 | |\n| Luke Chambers | England | Defender | 2012– | 319 | 15 | |\n| David McGoldrick | Ireland+ | Forward | 2013–2018 | 159 | 45 | |\n| Christophe Berra | Scotland+ | Defender | 2013–2017 | 185 | 14 | |\n| Cole Skuse | England | Midfielder | 2013– | 240 | 2 | |\n| Dean Gerken | England | Goalkeeper | 2013– | 111 | 0 | |\n| Kevin Bru | Mauritius+ | Midfielder | 2014–2018 | 103 | 4 | |\n| Bartosz Bialkowski | Poland+ | Goalkeeper | 2014– | 176 | 0 | |\n| Freddie Sears | England | Forward | 2015– | 177 | 30 | |\n| Jonas Knudsen | Denmark+ | Defender | 2015– | 155 | 4 | |" + } + ] + }, + { + "id": "table_recognition_train_item_51646", + "image": "table_instructV/images/TAT-QA_507a3949-1e6a-44f9-8ed7-880c2a4e5f10.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| | Fiscal Year ended January 31, | |\n| --- | --- | --- |\n| | 2019 | 2018 |\n| Total revenues | $2,632.6 | $2,099.2 |\n| Pretax loss | (157.5) | (724.9) |\n| Net loss | (200.1) | (734.5) |" + } + ] + }, + { + "id": "table_recognition_train_item_115475", + "image": "table_instructV/images/Rotowire_train_table_2080.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Raptors | Toronto | 109 | 19 | 28 | 35 | 27 | 23 | 48 | 13 | 45 | 74 | 43 | 25 | 11 | | | | |\n| Celtics | Boston | 96 | 26 | 17 | 22 | 31 | 23 | 43 | 18 | 47 | 60 | 33 | 12 | 23 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| Kyle Lowry | 38 | 19 | 5 | 7 | 7-17 | 41% | 3-8 | 38% | 2-2 | 100% | 3 | 3 | 0 | 1 | 4 | 2 | G | Toronto |\n| Lou Williams | 30 | 19 | 2 | 3 | 6-16 | 38% | 3-9 | 33% | 4-8 | 50% | 2 | 2 | 0 | 0 | 2 | 1 | N/A | Toronto |\n| Amir Johnson | 27 | 15 | 4 | 0 | 6-10 | 60% | 1-1 | 100% | 2-2 | 100% | 1 | 2 | 2 | 2 | 2 | 5 | F | Toronto |\n| James Johnson | 36 | 15 | 10 | 4 | 7-12 | 58% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 2 | 3 | 7 | 3 | F | Toronto |\n| Jonas Valanciunas | 26 | 15 | 7 | 2 | 7-11 | 64% | 0-0 | 0% | 1-1 | 100% | 0 | 1 | 3 | 3 | 4 | 3 | C | Toronto |\n| Patrick Patterson | 25 | 10 | 9 | 3 | 4-7 | 57% | 2-4 | 50% | 0-0 | 0% | 1 | 0 | 2 | 2 | 7 | 0 | N/A | Toronto |\n| Greivis Vasquez | 19 | 6 | 4 | 2 | 2-6 | 33% | 2-4 | 50% | 0-0 | 0% | 0 | 2 | 0 | 0 | 4 | 0 | N/A | Toronto |\n| Terrence Ross | 21 | 6 | 1 | 2 | 2-9 | 22% | 2-4 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 2 | G | Toronto |\n| Tyler Hansbrough | 18 | 4 | 6 | 0 | 0-3 | 0% | 0-0 | 0% | 4-4 | 100% | 1 | 0 | 1 | 4 | 2 | 4 | N/A | Toronto |\n| Greg Stiemsma | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Bruno Caboclo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Landry Fields | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Charles Hayes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Kelly Olynyk | 27 | 23 | 5 | 2 | 8-11 | 73% | 2-4 | 50% | 5-6 | 83% | 2 | 4 | 1 | 1 | 4 | 2 | N/A | Boston |\n| Avery Bradley | 34 | 17 | 1 | 2 | 6-15 | 40% | 2-5 | 40% | 3-4 | 75% | 2 | 1 | 0 | 0 | 1 | 2 | G | Boston |\n| Jared Sullinger | 28 | 13 | 10 | 2 | 6-13 | 46% | 1-4 | 25% | 0-0 | 0% | 1 | 1 | 0 | 1 | 9 | 3 | F | Boston |\n| Marcus Smart | 29 | 12 | 3 | 2 | 5-7 | 71% | 1-3 | 33% | 1-3 | 33% | 1 | 3 | 0 | 1 | 2 | 3 | N/A | Boston |\n| Brandon Bass | 19 | 10 | 6 | 4 | 5-10 | 50% | 0-0 | 0% | 0-1 | 0% | 1 | 2 | 0 | 2 | 4 | 4 | N/A | Boston |\n| Jae Crowder | 22 | 7 | 3 | 2 | 3-5 | 60% | 0-0 | 0% | 1-4 | 25% | 0 | 2 | 1 | 1 | 2 | 1 | F | Boston |\n| Tyler Zeller | 22 | 6 | 5 | 0 | 3-9 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 4 | 2 | C | Boston |\n| Evan Turner | 27 | 4 | 6 | 5 | 2-9 | 22% | 0-1 | 0% | 0-0 | 0% | 0 | 3 | 0 | 2 | 4 | 3 | G | Boston |\n| Phil Pressey | 16 | 4 | 1 | 1 | 1-3 | 33% | 0-1 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Boston |\n| Marcus Thornton | 10 | 0 | 2 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 0 | N/A | Boston |\n| James Young | 6 | 0 | 1 | 2 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 1 | 0 | N/A | Boston |\n| Gerald Wallace | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |" + } + ] + }, + { + "id": "table_recognition_train_item_117249", + "image": "table_instructV/images/Rotowire_train_table_2967.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Spurs | San Antonio | 110 | 28 | 28 | 29 | 25 | 22 | 38 | 19 | 47 | 88 | 37 | 19 | 13 | | | | |\n| Rockets | Houston | 106 | 33 | 22 | 29 | 22 | 20 | 42 | 24 | 49 | 58 | 36 | 21 | 8 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Danny Green | 35 | 24 | 4 | 3 | 6-13 | 46% | 3-9 | 33% | 9-10 | 90% | 5 | 2 | 0 | 1 | 3 | 4 | G | San Antonio |\n| Tim Duncan | 31 | 16 | 8 | 3 | 6-12 | 50% | 0-0 | 0% | 4-5 | 80% | 3 | 2 | 2 | 2 | 6 | 4 | F | San Antonio |\n| Manu Ginobili | 24 | 15 | 5 | 4 | 5-7 | 71% | 2-4 | 50% | 3-4 | 75% | 2 | 4 | 0 | 0 | 5 | 4 | N/A | San Antonio |\n| Cory Joseph | 35 | 14 | 6 | 4 | 6-9 | 67% | 1-1 | 100% | 1-1 | 100% | 1 | 3 | 0 | 3 | 3 | 3 | G | San Antonio |\n| Aron Baynes | 10 | 8 | 4 | 1 | 4-5 | 80% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 2 | 2 | 6 | N/A | San Antonio |\n| Patty Mills | 20 | 8 | 4 | 1 | 3-8 | 38% | 0-4 | 0% | 2-2 | 100% | 0 | 5 | 1 | 1 | 3 | 1 | N/A | San Antonio |\n| Marco Belinelli | 31 | 8 | 2 | 2 | 2-11 | 18% | 2-6 | 33% | 2-2 | 100% | 0 | 1 | 0 | 0 | 2 | 2 | F | San Antonio |\n| Boris Diaw | 20 | 8 | 1 | 2 | 3-5 | 60% | 2-3 | 67% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 2 | N/A | San Antonio |\n| Matt Bonner | 12 | 5 | 0 | 0 | 2-5 | 40% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | San Antonio |\n| Tiago Splitter | 21 | 4 | 4 | 2 | 2-8 | 25% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 3 | 2 | 2 | 2 | C | San Antonio |\n| Jeff Ayres | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Austin Daye | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Kyle Anderson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Rockets | | | | | | | | | | | | | | | | | | |\n| James Harden | 36 | 28 | 2 | 5 | 10-18 | 56% | 3-6 | 50% | 5-6 | 83% | 2 | 9 | 0 | 1 | 1 | 5 | G | Houston |\n| Corey Brewer | 24 | 25 | 2 | 1 | 8-11 | 73% | 6-8 | 75% | 3-4 | 75% | 0 | 3 | 0 | 1 | 1 | 1 | N/A | Houston |\n| Dwight Howard | 38 | 24 | 17 | 1 | 11-13 | 85% | 0-0 | 0% | 2-7 | 29% | 1 | 4 | 1 | 5 | 12 | 3 | C | Houston |\n| Donatas Motiejunas | 25 | 11 | 5 | 2 | 3-5 | 60% | 1-1 | 100% | 4-6 | 67% | 1 | 1 | 0 | 1 | 4 | 3 | N/A | Houston |\n| Trevor Ariza | 37 | 7 | 3 | 2 | 2-9 | 22% | 1-6 | 17% | 2-2 | 100% | 3 | 1 | 0 | 1 | 2 | 4 | F | Houston |\n| Josh Smith | 26 | 5 | 8 | 1 | 2-7 | 29% | 0-1 | 0% | 1-2 | 50% | 3 | 4 | 0 | 1 | 7 | 5 | F | Houston |\n| Patrick Beverley | 32 | 5 | 3 | 4 | 2-10 | 20% | 1-7 | 14% | 0-0 | 0% | 2 | 2 | 0 | 1 | 2 | 2 | G | Houston |\n| Joey Dorsey | 7 | 1 | 1 | 1 | 0-0 | 0% | 0-0 | 0% | 1-4 | 25% | 1 | 0 | 0 | 1 | 0 | 1 | N/A | Houston |\n| Jason Terry | 17 | 0 | 1 | 3 | 0-4 | 0% | 0-4 | 0% | 0-0 | 0% | 2 | 0 | 0 | 0 | 1 | 0 | N/A | Houston |\n| Isaiah Canaan | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Kostas Papanikolaou | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Nick Johnson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Alexey Shved | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |" + } + ] + }, + { + "id": "table_recognition_train_item_57236", + "image": "table_instructV/images/TabFact_2-17430165-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| res | record | opponent | method | round | location |\n| --- | --- | --- | --- | --- | --- |\n| win | 30 - 11 - 1 | jordanas poskaitis | submission (leglock) | n / a | vilnius , lithuania |\n| win | 29 - 11 - 1 | petrov kolev | submission (heel hook) | 1 | lithuania |\n| loss | 28 - 11 - 1 | quinton jackson | submission (strikes) | 1 | yokohama , japan |\n| win | 28 - 10 - 1 | katsuhisa fujii | submission (guillotine choke) | 1 | tokyo , japan |\n| draw | 27 - 10 - 1 | hiromitsu kanehara | draw | 3 | yokohama , japan |\n| loss | 27 - 10 | bobby hoffman | tko (corner stoppage) | 2 | tokyo , japan |\n| win | 27 - 9 | borislav jeliazkov | submission (armbar) | 2 | yokohama , japan |\n| win | 26 - 9 | kestutis smirnovas | submission (achilles lock) | 1 | lithuania |\n| win | 25 - 9 | martin lazarev | decision (4 - 0 points) | 1 | ekaterinburg , russia |\n| loss | 24 - 9 | tsuyoshi kohsaka | ko (punches) | 2 | osaka , japan |\n| win | 24 - 8 | valerijus golubovskis | submission (arm lock) | n / a | lithuania |\n| win | 23 - 8 | bakouri gogitidze | submission (ankle lock) | 1 | russia |\n| win | 22 - 8 | emil kristev | submission (achilles lock) | 1 | tula , russia |\n| win | 21 - 8 | lee hasdell | decision | 3 | ekaterinburg , russia |\n| loss | 20 - 8 | renato sobral | submission (armbar) | 3 | tokyo , japan |\n| win | 20 - 7 | brad kohler | submission (armbar) | 1 | tokyo , japan |\n| win | 19 - 7 | justin mccully | technical submission (achilles lock) | 1 | tokyo , japan |\n| loss | 18 - 7 | bakouri gogitidze | submission | 1 | georgia , united states |\n| win | 18 - 6 | joop kasteel | submission (achilles lock) | 1 | japan |\n| win | 17 - 6 | randy couture | submission (kimura) | 1 | tokyo , japan |\n| win | 16 - 6 | masayuki naruse | submission | 1 | tokyo , japan |\n| loss | 15 - 6 | kiyoshi tamura | submission | 1 | tokyo , japan |\n| win | 15 - 5 | volk han | submission | 1 | fukuoka , japan |\n| win | 14 - 5 | tsuyoshi kohsaka | submission | 1 | osaka , japan |\n| win | 13 - 5 | masayuki naruse | submission (ankle lock) | 1 | tokyo , japan |\n| loss | 12 - 5 | tsuyoshi kohsaka | submission | 1 | tokyo , japan |\n| loss | 12 - 4 | kiyoshi tamura | submission | 1 | nagoya , japan |\n| loss | 12 - 3 | adilson lima | submission (armbar) | 1 | tokyo , japan |\n| win | 12 - 2 | sidney goncalves freitas | submission (chin in the eye) | 1 | japan |\n| loss | 11 - 2 | carlos barreto | submission (rear naked choke) | 2 | japan |\n| win | 11 - 1 | wataru sakata | submission | 1 | tokyo , japan |\n| loss | 10 - 1 | ricardo morais | submission (rear naked choke) | 1 | moscow , russia |\n| win | 10 - 0 | achmed sagidgusenov | submission (achilles lock) | 1 | moscow , russia |\n| win | 9 - 0 | igor vovchanchyn | submission (chin in the eye) | 1 | moscow , russia |\n| win | 8 - 0 | andrei besedin | submission (guillotine choke) | 1 | moscow , russia |\n| win | 7 - 0 | zagil eribinov | submission (armbar) | 1 | moscow , russia |\n| win | 6 - 0 | nikolai zouev | submission | 1 | fukuoka , japan |\n| win | 5 - 0 | victor yerohin | submission (rear naked choke) | 1 | moscow , russia |\n| win | 4 - 0 | leonid efremov | submission (achilles lock) | 1 | moscow , russia |\n| win | 3 - 0 | vadim shevchenko | submission (achilles lock) | 1 | moscow , russia |\n| win | 2 - 0 | maxim tarasov | submission (achilles lock) | 1 | moscow , russia |\n| win | 1 - 0 | piotr tjernov | submission (achilles lock) | 1 | moscow , russia |" + } + ] + }, + { + "id": "table_recognition_train_item_106381", + "image": "table_instructV/images/ToTTo_train_table_26846.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Year | Artist | Album | Label | Shipments (Sales) | Certification |\n| --- | --- | --- | --- | --- | --- |\n| 1994 | Hootie & the Blowfish | Cracked Rear View | Atlantic | (14,580,000) | 21× Platinum |\n| 1972 | Simon & Garfunkel | Simon and Garfunkel's Greatest Hits | Columbia | 14,000,000 | 14× Platinum |\n| 1977 | Meat Loaf | Bat Out of Hell | Epic Records | 14,000,000 | 14× Platinum |\n| 1978 | Steve Miller Band | Greatest Hits 1974–78 | Capitol | 14,000,000 | 14× Platinum |\n| 1999 | Backstreet Boys | Millennium | Jive | (13,890,000) | 13× Platinum |\n| 1992 | Soundtrack / Whitney Houston | The Bodyguard | Arista | (13,450,000) | 18× Platinum |\n| 1999 | Santana | Supernatural | Arista | (13,110,000) | 15× Platinum |\n| 1984 | Prince and the Revolution | Purple Rain | Warner Bros. | 13,000,000 | 13× Platinum |\n| 1985 | Whitney Houston | Whitney Houston | Arista | 13,000,000 | 13× Platinum |\n| 2000 | Eminem | The Marshall Mathers LP | Aftermath | (12,940,000) | 10× Platinum(as of 2011) |\n| 2000 | The Beatles | 1 | Apple/EMI/Capitol | (12,800,000) | 11× Platinum(as of 2010) |\n| 2000 | NSYNC | No Strings Attached | Jive | (12,680,000) | 11× Platinum(as of 2001) |\n| 1999 | Britney Spears | ...Baby One More Time | Jive | (12,200,000) | 14× Platinum |\n| 1968 | The Beatles | The Beatles | Capitol | 12,000,000 | 24× Platinum(2-disc album) |\n| 1969 | The Beatles | Abbey Road | Apple | 12,000,000 | 12× Platinum |\n| 1969 | Led Zeppelin | Led Zeppelin II | Atlantic | 12,000,000 | 12× Platinum |\n| 1980 | Kenny Rogers | Greatest Hits | Liberty | 12,000,000 | 12× Platinum |\n| 1985 | Phil Collins | No Jacket Required | Atlantic | 12,000,000 | 12× Platinum |\n| 1986 | Bon Jovi | Slippery When Wet | Mercury Records | 12,000,000 | 12× Platinum |\n| 1987 | Def Leppard | Hysteria | Mercury Records | 12,000,000 | 12× Platinum |\n| 1992 | Kenny G | Breathless | Arista | 12,000,000 | 12× Platinum |\n| 1997 | Backstreet Boys | Backstreet Boys | Jive | (11,920,000) | 14× Platinum |\n| 2011 | Adele | 21 | Columbia/XL | (11,870,000) | 14× Platinum |\n| 1996 | Celine Dion | Falling into You | Epic Records | (11,799,000) | 11× Platinum |\n| 1999 | Creed | Human Clay | Wind-up Records | (11,700,000) | 11× Platinum |\n| 1979 | Pink Floyd | The Wall | Columbia/Harvest/EMI | 11,500,000 | 23× Platinum(2-disc album) |\n| 1985 | Billy Joel | Greatest Hits Volume I & Volume II | Columbia | 11,500,000 | 23× Platinum(2-disc album) |\n| 1997 | Soundtrack | Titanic | Epic Records | (11,146,000) | 11× Platinum |\n| 2000 | Linkin Park | Hybrid Theory | Warner Bros. | (11,126,000) | 11× Platinum |\n| 2002 | Norah Jones | Come Away with Me | Blue Note | (11,100,000) | 10× Platinum(as of 2005) |\n| 1967 | The Beatles | Sgt. Pepper's Lonely Hearts Club Band | Capitol | 11,000,000 | 11× Platinum |\n| 1973 | Led Zeppelin | Houses of the Holy | Atlantic | 11,000,000 | 11× Platinum |\n| 1976 | James Taylor | Greatest Hits | Warner Bros. | 11,000,000 | 11× Platinum |\n| 1980 | Aerosmith | Greatest Hits | Columbia | 11,000,000 | 11× Platinum |\n| 1982 | Eagles | Eagles Greatest Hits, Vol. 2 | Asylum | 11,000,000 | 11× Platinum |\n| 1987 | Soundtrack | Dirty Dancing | RCA | 11,000,000 | 11× Platinum |\n| 1997 | Celine Dion | Let's Talk About Love | Epic Records | (10,711,000) | 10× Platinum |\n| 2002 | Eminem | The Eminem Show | Aftermath | (10,700,000) | 10× Platinum |\n| 1991 | Nirvana | Nevermind | DGC Records | (10,640,000) | 10× Platinum |\n| 1998 | Kid Rock | Devil Without a Cause | Atlantic Records | (10,610,000) | 11× Platinum |\n| 2000 | Britney Spears | Oops!... I Did It Again | Jive | (10,410,000) | 10× Platinum |\n| 1998 | NSYNC | *NSYNC | RCA | (10,300,000) | 10× Platinum |\n| 2004 | Usher | Confessions | Arista | (10,300,000) | 10× Platinum |\n| 1998 | Dixie Chicks | Wide Open Spaces | Monument | (10,121,000) | 12× Platinum |\n| 1991 | Pearl Jam | Ten | Epic Records | (10,001,000) | 13× Platinum |\n| 1967 | Patsy Cline | Patsy Cline's Greatest Hits | Decca | 10,000,000 | 10× Platinum |\n| 1970 | Elvis Presley | Elvis' Christmas Album (budget reissue of 1957 LP with altered track listing) | RCA Camden/Pickwick | 10,000,000 | 10× Platinum |\n| 1971 | Carole King | Tapestry | ODE | 10,000,000 | 10× Platinum |\n| 1976 | Creedence Clearwater Revival | Chronicle, Vol. 1 | Fantasy | 10,000,000 | 10× Platinum |\n| 1976 | Doobie Brothers | Best of The Doobies | Warner Bros. | 10,000,000 | 10× Platinum |\n| 1977 | Billy Joel | The Stranger | Columbia | 10,000,000 | 10× Platinum |\n| 1978 | Van Halen | Van Halen | Warner Bros. | 10,000,000 | 10× Platinum |\n| 1981 | REO Speedwagon | Hi Infidelity | Epic | 10,000,000 | 10× Platinum |\n| 1983 | Def Leppard | Pyromania | Mercury Records | 10,000,000 | 10× Platinum |\n| 1983 | Lionel Richie | Can't Slow Down | Motown | 10,000,000 | 10× Platinum |\n| 1983 | ZZ Top | Eliminator | Warner Bros. | 10,000,000 | 10× Platinum |\n| 1984 | Madonna | Like a Virgin | Sire | 10,000,000 | 10× Platinum |\n| 1984 | Van Halen | 1984 (MCMLXXXIV) | Warner Bros. | 10,000,000 | 10× Platinum |\n| 1986 | Beastie Boys | Licensed to Ill | Def Jam | 10,000,000 | 10× Platinum |\n| 1987 | Michael Jackson | Bad | Epic | 10,000,000 | 10× Platinum |\n| 1987 | George Michael | Faith | Columbia | 10,000,000 | 10× Platinum |\n| 1987 | U2 | The Joshua Tree | Island | 10,000,000 | 10× Platinum |\n| 1989 | Garth Brooks | Garth Brooks | Capitol | 10,000,000 | 10× Platinum |\n| 1990 | Madonna | The Immaculate Collection | Sire | 10,000,000 | 10× Platinum |\n| 1990 | MC Hammer | Please Hammer, Don't Hurt 'Em | Capitol | 10,000,000 | 10× Platinum |" + } + ] + }, + { + "id": "table_recognition_train_item_57254", + "image": "table_instructV/images/TabFact_1-17323042-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 32 | january 2 | dallas | l 86 - 96 (ot) | andre iguodala (22) | andre miller (11) | andre iguodala (5) | american airlines center 20327 | 13 - 19 |\n| 33 | january 3 | san antonio | l 106 - 108 (ot) | andre miller (28) | andre iguodala (8) | andre iguodala (8) | at&t center 18797 | 13 - 20 |\n| 34 | january 6 | houston | w 104 - 96 (ot) | andre iguodala (28) | marreese speights (8) | andre miller , louis williams (8) | wachovia center 14858 | 14 - 20 |\n| 35 | january 7 | milwaukee | w 110 - 105 (ot) | andre miller (28) | andre miller (9) | andre iguodala (7) | bradley center 13381 | 15 - 20 |\n| 36 | january 9 | charlotte | w 93 - 87 (ot) | andre miller (22) | samuel dalembert (9) | andre iguodala (7) | wachovia center 14235 | 16 - 20 |\n| 37 | january 11 | atlanta | w 109 - 94 (ot) | andre iguodala (27) | thaddeus young (9) | andre iguodala (9) | philips arena 15079 | 17 - 20 |\n| 38 | january 14 | portland | w 100 - 79 (ot) | andre iguodala (29) | samuel dalembert (9) | louis williams , andre iguodala , andre miller (6) | wachovia center 14561 | 18 - 20 |\n| 39 | january 16 | san antonio | w 109 - 87 (ot) | thaddeus young (27) | samuel dalembert (12) | andre iguodala (8) | wachovia center 18739 | 19 - 20 |\n| 40 | january 17 | new york | w 107 - 97 (ot) | andre iguodala (28) | andre iguodala , thaddeus young (10) | andre miller (8) | madison square garden 19408 | 20 - 20 |\n| 41 | january 19 | dallas | l 93 - 95 (ot) | louis williams (25) | andre iguodala (12) | andre miller (7) | wachovia center 14503 | 20 - 21 |\n| 42 | january 24 | new york | w 116 - 110 (ot) | andre iguodala (24) | samuel dalembert (17) | andre iguodala (6) | wachovia center 19239 | 21 - 21 |\n| 43 | january 26 | new orleans | l 86 - 101 (ot) | thaddeus young (22) | samuel dalembert (12) | andre iguodala (7) | new orleans arena 16131 | 21 - 22 |\n| 44 | january 28 | houston | w 95 - 93 (ot) | andre iguodala (20) | samuel dalembert (13) | andre miller (7) | toyota center 15544 | 22 - 22 |\n| 45 | january 30 | washington | w 104 - 94 (ot) | andre iguodala , willie green (20) | thaddeus young (9) | andre miller (9) | wachovia center 15528 | 23 - 22 |" + } + ] + }, + { + "id": "table_recognition_train_item_100844", + "image": "table_instructV/images/ToTTo_train_table_3557.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Pick # | NFL Team | Player | Position | College |\n| --- | --- | --- | --- | --- |\n| 1 | Buffalo Bills | O. J. Simpson | Running Back | USC |\n| 2 | Atlanta Falcons | George Kunz | Offensive Tackle | Notre Dame |\n| 3 | Philadelphia Eagles | Leroy Keyes | Running Back | Purdue |\n| 4 | Pittsburgh Steelers | Joe Greene | Defensive Tackle | North Texas |\n| 5 | Cincinnati Bengals | Greg Cook | Quarterback | Cincinnati |\n| 6 | Boston Patriots | Ron Sellers | Split End | Florida State |\n| 7 | San Francisco 49ers | Ted Kwalick | Tight End | Penn State |\n| 8 | Los Angeles Rams | Larry Smith | Running Back | Florida |\n| 9 | San Diego Chargers | Marty Domres | Quarterback | Columbia |\n| 10 | Los Angeles Rams | Jim Seymour | Split End | Notre Dame |\n| 11 | Miami Dolphins | Bill Stanfill | Defensive End | Georgia |\n| 12 | Green Bay Packers | Rich Moore | Defensive Tackle | Villanova |\n| 13 | New York Giants | Fred Dryer | Defensive End | San Diego State |\n| 14 | Chicago Bears | Rufus Mayes | Offensive Tackle | Ohio State |\n| 15 | Houston Oilers | Ron Pritchard | Linebacker | Arizona State |\n| 16 | San Francisco 49ers | Gene Washington | Flanker | Stanford |\n| 17 | New Orleans Saints | John Shinners | Offensive Guard | Xavier |\n| 18 | San Diego Chargers | Bob Babich | Linebacker | Miami (OH) |\n| 19 | St. Louis Cardinals | Roger Wehrli | Cornerback | Missouri |\n| 20 | Cleveland Browns | Ron Johnson | Running Back | Michigan |\n| 21 | Los Angeles Rams | Bob Klein | Tight End | USC |\n| 22 | Oakland Raiders | Art Thoms | Defensive Tackle | Syracuse |\n| 23 | Kansas City Chiefs | Jim Marsalis | Cornerback | Tennessee State |\n| 24 | Dallas Cowboys | Calvin Hill | Running Back | Yale |\n| 25 | Baltimore Colts | Eddie Hinton | Flanker | Oklahoma |\n| 26 | New York Jets | Dave Foley | Offensive Tackle | Ohio State |" + } + ] + }, + { + "id": "table_recognition_train_item_56704", + "image": "table_instructV/images/TabFact_2-1891840-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| result | opponent | type | rd , time | date | location |\n| --- | --- | --- | --- | --- | --- |\n| result | opponent | type | rd , time | date | location |\n| loss | tony jeter | decision (split) | 10 (10) | october 27 , 2012 | fairfax , va |\n| win | ruben galvan | decision (unanimous) | 12 (12) | 11 february 2012 | fairfax , va |\n| win | raul munoz | tko | 6 (10) | 10 september 2011 | fairfax , va |\n| win | mike mcfail | decision (unanimous) | 6 (6) | 25 june 2011 | virginia beach , va |\n| win | jimmy holmes | decision (unanimous) | 10 (10) | 12 march 2011 | fairfax , va |\n| win | joe wyatt | ko | 10 (10) | 6 november 2010 | fairfax , va |\n| win | mike mcfail | decision (unanimous) | 6 (6) | 20 august 2010 | greensboro , nc |\n| win | jimmy leblanc | ko | 2 (10) | 10 july 2010 | fairfax , va |\n| loss | chase shields | decision (unanimous) | 10 (10) | march 6 , 2010 | fairfax , va |\n| win | jonathan reid | rtd | 9 (12) | 26 september 2009 | fairfax , va |\n| win | frank houghtaling | rtd | 5 (12) | 2 may 2009 | fairfax , va |\n| win | grover wiley | decision (unanimous) | 10 (10) | 1 november 2008 | fairfax , va |\n| win | fontaine cabell | tko | 8 (12) | 12 may 2007 | fairfax , va |\n| draw | fontaine cabell | draw | 12 (12) | 9 december 2006 | fairfax , va |\n| win | thomas wilt | tko | 10 (10) , 2:45 | 7 october 2006 | fairfax , va |\n| loss | joey gilbert | tko | 3 (12) | 18 february 2006 | fairfax , va |\n| win | perry ballard | tko | 4 (12) | 17 september 2005 | fairfax , va |\n| win | tarick salmaci | decision (majority) | 5 (5) | 24 may 2005 | las vegas , nv |\n| loss | joey gilbert | decision (unanimous) | 5 (5) | 7 september 2004 | pasadena , ca |\n| win | gabriel rodriguez | decision (split) | 10 (10) | 1 may 2004 | washington , dc |\n| win | gabriel rodriguez | tko | 7 (10) , 2:32 | 28 february 2004 | washington , dc |\n| win | joshua smith | decision (unanimous) | 10 (10) | 13 december 2003 | washington , dc |\n| win | homer gibbins | tko | 3 (10) | 16 september 2003 | lake charles , la |\n| win | chad greenleaf | decision (unanimous) | 8 (8) | 10 may 2003 | washington , dc |\n| win | charles clark | decision (unanimous) | 8 (8) | 15 march 2003 | washington , dc |\n| win | gerald reed | decision (majority) | 8 (8) | 17 january 2002 | washington , dc |\n| win | vincent white | tko | 5 (8) , 0:55 | 17 january 2002 | glen burnie , md |\n| win | alex perez | tko | 1 (8) , 2:59 | 15 november 2001 | glen burnie , md |\n| win | samuel harvey | tko | 2 (6) , 2:35 | 31 august 2001 | baltimore , md |\n| win | james johnson | tko | 5 (8) , 2:40 | 10 may 2001 | glen burnie , md |\n| win | ed goins | tko | 2 (6) , 1:40 | 16 november 2000 | glen burnie , md |\n| win | kevin carter | tko | 3 (6) , 1:22 | 21 september 2000 | glen burnie , md |\n| win | donnie parker | decision (points) | 6 (6) | 12 march 2000 | washington , dc |\n| win | benji singleton | decision (unanimous) | 6 (6) | 18 november 1999 | glen burnie , md |\n| win | drew hayes | ko | 5 (6) , 2:04 | 30 september 1999 | glen burnie , md |\n| win | dewayne holland | ko | 1 | 27 august 1999 | annandale , va |\n| win | jason floss | tko | 2 | 23 july 1999 | washington , dc |\n| draw | james johnson | draw | 4 (4) | 13 may 1999 | glen burnie , md |\n| win | andre gaskins | tko | 4 (4) , 2:58 | 25 march 1999 | glen burnie , md |\n| win | travis clybourn | ko | 1 | 28 february 1999 | alexandria , va |\n| win | matt hill | tko | 1 (4) , 2:41 | 28 january 1999 | glen burnie , md |\n| win | anthony boykin | tko | 1 | 24 november 1998 | washington , dc |\n| loss | kevin collins | decision (majority) | 4 (4) | 27 march 1998 | westbury , ny |\n| win | scott mitchell | tko | 1 | 14 march 1998 | lima , oh |\n| win | robert hunt | tko | 1 (4) | 22 february 1998 | washington , dc |" + } + ] + }, + { + "id": "table_recognition_train_item_62778", + "image": "table_instructV/images/TabFact_2-10727601-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| res | record | opponent | method | round | time | location |\n| --- | --- | --- | --- | --- | --- | --- |\n| win | 14 - 4 | roxanne modafferi | decision (unanimous) | 2 | 5:00 | koto , tokyo , japan |\n| loss | 13 - 4 | cat zingano | ko (slam) | 3 | 4:42 | denver , colorado , united states |\n| loss | 13 - 3 | tara larosa | decision (unanimous) | 5 | 5:00 | atlantic city , new jersey , united states |\n| loss | 13 - 2 | sarah kaufman | decision (unanimous) | 5 | 5:00 | san jose , california , united states |\n| win | 13 - 1 | chisa yonezawa | submission (rear - naked choke) | 2 | 1:43 | tokyo , japan |\n| win | 12 - 1 | amanda buckner | decision (unanimous) | 3 | 5:00 | los angeles , california , united states |\n| win | 11 - 1 | hitomi akano | decision (unanimous) | 3 | 5:00 | tokyo , japan |\n| win | 10 - 1 | hee jin lee | decision (unanimous) | 2 | 5:00 | tokyo , japan |\n| win | 9 - 1 | sybil starr | submission (armbar) | 1 | 2:47 | tokyo , japan |\n| win | 8 - 1 | miki morifuji | decision (unanimous) | 2 | 5:00 | tokyo , japan |\n| win | 7 - 1 | kinuka sasaki | submission (rear - naked choke) | 1 | 2:31 | tokyo , japan |\n| win | 6 - 1 | kazuma morohoshi | decision (unanimous) | 2 | 5:00 | tokyo , japan |\n| loss | 5 - 1 | hitomi akano | submission (armbar) | 1 | 1:19 | tokyo , japan |\n| win | 5 - 0 | yukari | decision (unanimous) | 2 | 5:00 | tokyo , japan |\n| win | 4 - 0 | yoko hattori | decision (unanimous) | 2 | 5:00 | tokyo , japan |\n| win | 3 - 0 | yumiko sugimoto | decision (unanimous) | 2 | 5:00 | tokyo , japan |\n| win | 2 - 0 | mika harigai | submission (rear - naked choke) | 2 | 4:28 | tokyo , japan |\n| win | 1 - 0 | natsuko kikukawa | decision (unanimous) | 2 | 5:00 | tokyo , japan |" + } + ] + }, + { + "id": "table_recognition_train_item_63190", + "image": "table_instructV/images/TabFact_2-1262432-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| city | province / region | country | iata | icao | airport |\n| --- | --- | --- | --- | --- | --- |\n| hachijōjima | kantō | japan | hac | rjth | hachijojima airport |\n| miyakejima | kantō | japan | mye | rjtq | miyakejima airport |\n| ōshima | kantō | japan | oim | rjto | oshima airport |\n| komatsu | chūbu | japan | kmq | rjnk | komatsu airport |\n| niigata | chūbu | japan | kij | rjsn | niigata airport |\n| shizouka | chūbu | japan | fsz | rjns | shizuoka airport |\n| toyama | chūbu | japan | toy | rjnt | toyama airport |\n| wajima | chūbu | japan | ntq | rjnw | noto airport |\n| kobe | kansai | japan | ukb | rjbe | kobe airport |\n| hiroshima | chūgoku | japan | hij | rjoa | hiroshima airport |\n| iwakuni | chūgoku | japan | iwk | rjoi | marine corps air station iwakuni |\n| okayama | chūgoku | japan | okj | rjob | okayama airport |\n| ōnan / hagi | chūgoku | japan | iwj | rjow | iwami airport |\n| tottori | chūgoku | japan | ttj | rjor | tottori airport |\n| yonago | chūgoku | japan | ygj | rjoh | miho - yonago airport |\n| yamaguchi - ube | chūgoku | japan | ubj | rjdc | yamaguchi ube airport |\n| akita | tōhoku | japan | axt | rjsk | akita airport |\n| fukushima | tōhoku | japan | fks | rjsf | fukushima airport |\n| odate | tōhoku | japan | onj | rjsr | odate - noshiro airport |\n| sendai | tōhoku | japan | sdj | rjss | sendai airport |\n| shōnai | tōhoku | japan | syo | rjsy | shonai airport |\n| asahikawa | hokkaidō | japan | akj | rjec | asahikawa airport |\n| hakodate | hokkaidō | japan | hkd | rjch | hakodate airport |\n| kushiro | hokkaidō | japan | kuh | rjck | kushiro airport |\n| monbetsu | hokkaidō | japan | mbe | rjeb | monbetsu airport |\n| nakashibetsu | hokkaidō | japan | shb | rjcn | nakashibetsu airport |\n| ōzora | hokkaidō | japan | mmb | rjcm | memanbetsu airport |\n| rishiri island | hokkaidō | japan | ris | rjer | rishiri airport |\n| sapporo | hokkaidō | japan | cts | rjcc | new chitose airport |\n| wakkanai | hokkaidō | japan | wkj | rjcw | wakkanai airport |" + } + ] + }, + { + "id": "table_recognition_train_item_105832", + "image": "table_instructV/images/ToTTo_train_table_24475.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| No. | Name | Term | GC | OW | OL | OT | O% | CW | CL | CT | C% | PW | PL | CCs | NCs |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| — | No coaches | 1879–1890 | 34 | 23 | 10 | 1 | .691 | 0 | 0 | 0 | – | 0 | 0 | 0 | 0 |\n| 1 | Frank Crawford & Mike Murphy | 1891 | 9 | 4 | 5 | 0 | .444 | 0 | 0 | 0 | – | 0 | 0 | 0 | 0 |\n| 3 | Frank Barbour | 1892–1893 | 22 | 14 | 8 | 0 | .636 | 0 | 0 | 0 | – | 0 | 0 | 0 | 0 |\n| 4 | William McCauley | 1894–1895 | 20 | 17 | 2 | 1 | .875 | 0 | 0 | 0 | – | 0 | 0 | 0 | 0 |\n| 5 | William Ward | 1896 | 10 | 9 | 1 | 0 | .900 | 2 | 1 | 0 | .667 | 0 | 0 | 0 | 0 |\n| 6 | Gustave Ferbert | 1897–1899 | 28 | 24 | 3 | 1 | .875 | 6 | 2 | 0 | .750 | 0 | 0 | 1 | 0 |\n| 7 | Langdon Lea† | 1900 | 10 | 7 | 2 | 1 | .750 | 3 | 2 | 0 | .600 | 0 | 0 | 0 | 0 |\n| 8 | Fielding H. Yost† | 1901–1923, 1925–1926 | 204 | 165 | 29 | 10 | .833 | 42 | 10 | 2 | .796 | 1 | 0 | 10 | 6 |\n| 9 | George Little† | 1924 | 8 | 6 | 2 | 0 | .750 | 4 | 2 | 0 | .667 | 0 | 0 | 0 | 0 |\n| 10 | Elton Wieman† | 1927–1928 | 16 | 9 | 6 | 1 | .594 | 5 | 5 | 0 | .500 | 0 | 0 | 0 | 0 |\n| 11 | Harry Kipke† | 1929–1937 | 76 | 46 | 26 | 4 | .632 | 27 | 21 | 2 | .560 | 0 | 0 | 4 | 2 |\n| 12 | Fritz Crisler† | 1938–1947 | 90 | 71 | 16 | 3 | .806 | 42 | 12 | 3 | .777 | 1 | 0 | 2 | 1 |\n| 13 | Bennie Oosterbaan† | 1948–1958 | 100 | 63 | 33 | 4 | .650 | 44 | 23 | 4 | .648 | 1 | 0 | 3 | 1 |\n| 14 | Bump Elliott† | 1959–1968 | 95 | 51 | 42 | 2 | .547 | 32 | 34 | 3 | .485 | 1 | 0 | 1 | 0 |\n| 15 | Bo Schembechler† | 1969–1989 | 247 | 194 | 48 | 5 | .796 | 143 | 23 | 3 | .855 | 5 | 12 | 13 | 0 |\n| 16 | Gary Moeller | 1990–1994 | 60 | 44 | 13 | 3 | .758 | 30 | 8 | 2 | .775 | 4 | 1 | 3 | 0 |\n| 17 | Lloyd Carr† | 1995–2007 | 162 | 122 | 40 | 0 | .753 | 81 | 23 | 0 | .779 | 6 | 7 | 5 | 1 |\n| 18 | Rich Rodriguez | 2008–2010 | 37 | 15 | 22 | 0 | .405 | 6 | 18 | 0 | .250 | 0 | 1 | 0 | 0 |\n| 19 | Brady Hoke | 2011–2014 | 51 | 31 | 20 | 0 | .608 | 18 | 14 | 0 | .563 | 1 | 2 | 0 | 0 |\n| 20 | Jim Harbaugh | 2015–present | 52 | 38 | 14 | 0 | .731 | 26 | 9 | 0 | .743 | 1 | 3 | 0 | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_32754", + "image": "table_instructV/images/TABMWP_21664.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $440 | 11,600 | 7,600 |\n| $480 | 10,100 | 8,300 |\n| $520 | 8,600 | 9,000 |\n| $560 | 7,100 | 9,700 |\n| $600 | 5,600 | 10,400 |" + } + ] + }, + { + "id": "table_recognition_train_item_52934", + "image": "table_instructV/images/TabFact_2-18135029-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| player | country | year (s) won | total | to par | finish |\n| --- | --- | --- | --- | --- | --- |\n| jeff sluman | united states | 1988 | 284 | - 4 | t24 |\n| jack nicklaus | united states | 1963 , 1971 , 1973 1975 , 1980 | 285 | - 3 | t27 |\n| larry nelson | united states | 1981 , 1987 | 288 | e | t46 |\n| raymond floyd | united states | 1969 , 1982 | 288 | e | t46 |\n| hubert green | united states | 1985 | 295 | + 7 | 66 |\n| dave stockton | united states | 1970 , 1976 | 297 | + 9 | 68 |" + } + ] + }, + { + "id": "table_recognition_train_item_107498", + "image": "table_instructV/images/ToTTo_train_table_31461.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| # | Mayor | Picture | Term | Party |\n| --- | --- | --- | --- | --- |\n| 1st | George Washington Warren | - | 1847–1850 | Whig |\n| 2nd | Richard Frothingham, Jr. | | 1851–1853 | Democrat |\n| 3rd | James Adams | | 1854-1854 | None |\n| 4th | Timothy T. Sawyer | - | 1855–1857 | Citizens |\n| 5th | James Dana | - | 1858–1860 | None |\n| 6th | Horace G. Hutchins | | 1861-1861 | None |\n| 7th | Phineas J. Stone | | 1862–1864 | None |\n| 8th | Charles Robinson, Jr. | | 1865–1866 | Republican |\n| 9th | Liverus Hull | | 1867–1868 | None |\n| 10th | Eugene L. Norton | | 1869-1869 | Republican |\n| 11th | William H. Kent | | 1870–1873 | None |\n| 12th | Jonathan Stone | - | 1873-1873 | None |" + } + ] + }, + { + "id": "table_recognition_train_item_113861", + "image": "table_instructV/images/Rotowire_train_table_1273.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Timberwolves | Minnesota | 112 | 25 | 28 | 30 | 29 | 22 | 36 | 8 | 49 | 90 | 37 | 20 | 33 | | | | |\n| Raptors | Toronto | 109 | 33 | 30 | 25 | 21 | 19 | 36 | 13 | 53 | 70 | 39 | 32 | 22 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Andrew Wiggins | 38 | 31 | 5 | 6 | 11-19 | 58% | 1-2 | 50% | 8-9 | 89% | 2 | 3 | 1 | 2 | 3 | 2 | F | Minnesota |\n| Karl-Anthony Towns | 37 | 29 | 14 | 1 | 8-14 | 57% | 0-2 | 0% | 13-13 | 100% | 1 | 1 | 2 | 6 | 8 | 3 | C | Minnesota |\n| Shabazz Muhammad | 26 | 22 | 2 | 2 | 8-13 | 62% | 2-5 | 40% | 4-6 | 67% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Minnesota |\n| Gorgui Dieng | 32 | 11 | 9 | 1 | 4-8 | 50% | 1-1 | 100% | 2-2 | 100% | 2 | 0 | 0 | 3 | 6 | 4 | F | Minnesota |\n| Lance Stephenson | 20 | 6 | 4 | 1 | 3-7 | 43% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 4 | 0 | N/A | Minnesota |\n| Ricky Rubio | 21 | 5 | 1 | 7 | 2-7 | 29% | 1-1 | 100% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 2 | G | Minnesota |\n| Tyus Jones | 27 | 5 | 0 | 3 | 2-6 | 33% | 1-4 | 25% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 3 | N/A | Minnesota |\n| Nemanja Bjelica | 15 | 3 | 0 | 1 | 1-3 | 33% | 1-3 | 33% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 2 | N/A | Minnesota |\n| Cole Aldrich | 5 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 1 | N/A | Minnesota |\n| Brandon Rush | 20 | 0 | 1 | 0 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | G | Minnesota |\n| Jordan Hill | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Kris Dunn | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| DeMar DeRozan | 38 | 30 | 4 | 2 | 12-25 | 48% | 1-4 | 25% | 5-7 | 71% | 1 | 2 | 0 | 1 | 3 | 3 | G | Toronto |\n| Kyle Lowry | 37 | 20 | 2 | 5 | 6-19 | 32% | 4-13 | 31% | 4-5 | 80% | 1 | 3 | 0 | 2 | 0 | 2 | G | Toronto |\n| DeMarre Carroll | 34 | 19 | 9 | 2 | 7-9 | 78% | 5-5 | 100% | 0-0 | 0% | 0 | 1 | 0 | 1 | 8 | 2 | F | Toronto |\n| Jonas Valanciunas | 26 | 16 | 5 | 1 | 7-7 | 100% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 1 | 4 | 2 | C | Toronto |\n| Terrence Ross | 14 | 11 | 2 | 1 | 5-9 | 56% | 1-4 | 25% | 0-0 | 0% | 1 | 0 | 0 | 0 | 2 | 2 | N/A | Toronto |\n| Cory Joseph | 22 | 4 | 2 | 5 | 1-3 | 33% | 0-1 | 0% | 2-2 | 100% | 1 | 2 | 1 | 0 | 2 | 1 | N/A | Toronto |\n| Jakob Poeltl | 16 | 4 | 4 | 1 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 3 | 1 | N/A | Toronto |\n| Pascal Siakam | 20 | 3 | 5 | 0 | 1-2 | 50% | 0-0 | 0% | 1-4 | 25% | 0 | 1 | 2 | 3 | 2 | 3 | F | Toronto |\n| Lucas Nogueira | 21 | 2 | 1 | 1 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 4 | N/A | Toronto |\n| Jared Sullinger | 6 | 0 | 2 | 1 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 1 | 1 | N/A | Toronto |\n| Norman Powell | 7 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Toronto |\n| Patrick Patterson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Fred VanVleet | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |" + } + ] + }, + { + "id": "table_recognition_train_item_69684", + "image": "table_instructV/images/TabFact_2-15187735-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| series ep | episode | netflix | segment a | segment b | segment c | segment d |\n| --- | --- | --- | --- | --- | --- | --- |\n| 5 - 01 | 53 | s03e01 | paving asphalt | marshmallow cookies | s loudspeaker | electronic door locks |\n| 5 - 02 | 54 | s03e02 | wood burning stoves | orthoses | ballet slippers | es bus |\n| 5 - 03 | 55 | s03e03 | robotic arms | s tattoo | s sanitary napkin | concrete s pipe |\n| 5 - 04 | 56 | s03e04 | hockey gloves | snack cakes | remoulded tires | wastewater treatment |\n| 5 - 05 | 57 | s03e05 | s ambulance | dining room tables | diatonic s accordion | s acrylic award |\n| 5 - 06 | 58 | s03e06 | alkaline batteries | s wheelchair | s flute | cowboy boots |\n| 5 - 07 | 59 | s03e07 | golf balls | furniture handles | parking meters | room dividers |\n| 5 - 08 | 60 | s03e08 | suits of armour | street light poles | bent hardwood | membrane switches |\n| 5 - 09 | 61 | s03e09 | sulkies | bagpipes | yule logs | fishing lures |\n| 5 - 10 | 62 | s03e10 | goalie pads | lapel pins | cardboard boxes | crystal wine glasses |\n| 5 - 11 | 63 | s03e11 | cement | caskets | soft drinks | glider rockers |\n| 5 - 12 | 64 | s03e12 | kitchen knives | s mannequin | s sock | hypodermic needles |\n| 5 - 13 | 65 | s03e13 | electrical panels | s kite | eyeglass frames | es toothbrush |" + } + ] + }, + { + "id": "table_recognition_train_item_67356", + "image": "table_instructV/images/TabFact_2-16351707-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| rank | runs | opponent | venue | season |\n| --- | --- | --- | --- | --- |\n| 1 | 397 / 4 | new south wales | bankstown oval , sydney | 2001 / 02 |\n| 2 | 325 / 6 | south australia | tca ground , hobart | 1986 / 87 |\n| 3 | 320 / 4 | queensland | gabba , brisbane | 1993 / 94 |\n| 4 | 311 / 7 | new south wales | bellerive oval , hobart | 2005 / 06 |\n| 5 | 310 / 9 | west indies | ntca ground , launceston | 1975 / 76 |" + } + ] + }, + { + "id": "table_recognition_train_item_64240", + "image": "table_instructV/images/TabFact_2-11322899-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| title | composer (s) | guest performer | producer (s) | time |\n| --- | --- | --- | --- | --- |\n| the path | l manson e greene | black ice | eric booty greene | 3:04 |\n| the ugly show | l manson e greene | black ice | eric booty greene | 5:49 |\n| a dream transferred | l manson e greene | black ice | eric booty greene | 3:08 |\n| lone soldier | l manson e greene e bass | black ice chinahblac | eric booty greene | 4:00 |\n| takeyatime | l manson e greene t johnson | black ice musiq | eric booty greene | 4:48 |\n| nice2 meetu | l manson e greene v roane | black ice v | eric booty greene | 2:50 |\n| hoodwatch!!! | l manson e greene | black ice | eric booty greene | 4:03 |\n| front page | l manson e greene | black ice | eric booty greene | 4:22 |\n| rain , hail , sleet or snow | l manson e greene h hill | black ice h hill | eric booty greene | 4:09 |\n| the beast within | l manson e greene h hill | black ice h hill | eric booty greene | 3:58 |\n| shine | l manson e greene n stewart | black ice natalie stewart of floetry | eric booty greene | 2:56 |\n| the real | l manson e greene | black ice | eric booty greene | 5:49 |" + } + ] + }, + { + "id": "table_recognition_train_item_34650", + "image": "table_instructV/images/TABMWP_9174.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $990 | 17,000 | 2,100 |\n| $1,020 | 13,700 | 5,900 |\n| $1,050 | 10,400 | 9,700 |\n| $1,080 | 7,100 | 13,500 |\n| $1,110 | 3,800 | 17,300 |" + } + ] + }, + { + "id": "table_recognition_train_item_50462", + "image": "table_instructV/images/TAT-QA_e5959f55-4753-48b5-94b9-6a20ef2aed45.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| | 2019 | 2018 | 2017 |\n| --- | --- | --- | --- |\n| | | (in thousands, except per share amounts) | |\n| Net income for basic and diluted net income per share | $467,468 | $451,779 | $257,692 |\n| Weighted average common shares-basic | 170,425 | 187,672 | 198,069 |\n| Effect of dilutive potential common shares: | | | |\n| Incremental shares from assumed conversion of convertible notes (1) | 4,909 | 2,749 | 1,298 |\n| Convertible note hedge warrant shares (2) | 2,698 | 485 | 112 |\n| Restricted stock units | 1,236 | 1,385 | 1,800 |\n| Stock options | 178 | 278 | 335 |\n| Employee stock purchase rights | 13 | 36 | 27 |\n| Dilutive potential common shares | 9,034 | 4,933 | 3,572 |\n| Weighted average common shares-diluted | 179,459 | 192,605 | 201,641 |\n| Net income per common share-basic | $2.74 | $2.41 | $1.30 |\n| Net income per common share-diluted | $2.60 | $2.35 | $1.28 |" + } + ] + }, + { + "id": "table_recognition_train_item_68114", + "image": "table_instructV/images/TabFact_2-11865672-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| season | div | pos | pld | pts | play offs | trophy |\n| --- | --- | --- | --- | --- | --- | --- |\n| everton tigers | everton tigers | everton tigers | everton tigers | everton tigers | everton tigers | everton tigers |\n| 2007 - 2008 | bbl | 7th | 33 | 32 | quarter final | 1st round |\n| 2008 - 2009 | bbl | 2nd | 33 | 48 | runner - up | semi final |\n| 2009 - 2010 | bbl | 5th | 36 | 42 | winners | semi final |\n| mersey tigers | mersey tigers | mersey tigers | mersey tigers | mersey tigers | mersey tigers | mersey tigers |\n| 2010 - 2011 | bbl | 1st | 33 | 50 | winners | winners |\n| 2011 - 2012 | bbl | 10th | 30 | 20 | dnq | 1st round |\n| 2012 - 2013 | bbl | 12th | 33 | 0 | dnq | 1st round |" + } + ] + }, + { + "id": "table_recognition_train_item_103549", + "image": "table_instructV/images/ToTTo_train_table_14826.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| 12 August 2014 1 | Shrewsbury Town | 1–0 | Blackpool | Shrewsbury |\n| --- | --- | --- | --- | --- |\n| 19:45 BST | Vernon 34' | Report | | Stadium: Greenhous Meadow Attendance: 4,524 Referee: Mark Heywood |" + } + ] + }, + { + "id": "table_recognition_train_item_56464", + "image": "table_instructV/images/TabFact_2-11129881-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| locomotive | type | builder | builder 's no | built | entered service | withdrawn |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0 - 6 - 0st | beyer peacock & co | 2575 | 1884 | 1884 | 1938 |\n| 3 | 0 - 6 - 0st | beyer peacock & co | 4558 | 1903 | 1903 | 1920 |\n| 62xx | 0 - 6 - 0 | robert stephenson and company | 2195 | 1874 | 1903 | 1927 |\n| 2020 | 2 - 6 - 4t | beyer peacock & co | 3206 | 1891 | 1834 | 1955 |\n| 2017 | 2 - 6 - 4t | beyer peacock & co | 3289 | 1891 | 1939 | 1956 |\n| 1 | 2 - 6 - 2t | robert stephenson and hawthorns | e7841 | 1955 | 1955 | 1967 |\n| j & a brown 26 | 2 - 6 - 4t | beyer peacock & co | 2567 | 1885 | 1967 | 1967 |\n| 3013 | 4 - 6 - 4t | beyer peacock & co | 4456 | 1903 | 1967 | 1976 |" + } + ] + }, + { + "id": "table_recognition_train_item_52134", + "image": "table_instructV/images/TabFact_2-15748700-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| res | record | opponent | method | event | round | time | location |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| loss | 40 - 7 | pablo alfonso | submission (guillotine choke) | world series of fighting 6: burkman vs carl | 1 | 3:05 | coral gables , florida , united states |\n| loss | 40 - 6 | marlon moraes | decision (split) | wsof 1 | 3 | 5:00 | las vegas , nevada , united states |\n| loss | 40 - 5 | michael mcdonald | ko (punches) | ufc 145 | 1 | 3:18 | atlanta , georgia , united states |\n| win | 40 - 4 | nick pace | decision (unanimous) | ufc 139 | 3 | 5:00 | san jose , california , united states |\n| loss | 39 - 4 | demetrious johnson | decision (unanimous) | ufc 130 | 3 | 5:00 | las vegas , nevada , united states |\n| win | 39 - 3 | antonio banuelos | decision (unanimous) | ufc 126 | 3 | 5:00 | las vegas , nevada , united states |\n| win | 38 - 3 | charlie valencia | submission (rear naked choke) | wec 51 | 2 | 2:25 | broomfield , colorado , united states |\n| loss | 37 - 3 | joseph benavidez | submission (guillotine choke) | wec 47 | 2 | 2:57 | columbus , ohio , united states |\n| loss | 37 - 2 | brian bowles | ko (punches) | wec 42 | 1 | 3:57 | las vegas , nevada , united states |\n| win | 37 - 1 | takeya mizugaki | decision (unanimous) | wec 40 | 5 | 5:00 | chicago , illinois , united states |\n| win | 36 - 1 | manny tapia | tko (punches and elbows) | wec 37 | 2 | 3:04 | las vegas , nevada , united states |\n| win | 35 - 1 | yoshiro maeda | tko (doctor stoppage) | wec 34 | 3 | 5:00 | sacramento , california , united states |\n| win | 34 - 1 | chase beebe | submission (guillotine choke) | wec 32 | 1 | 3:59 | albuquerque , new mexico , united states |\n| win | 33 - 1 | jeff bedard | submission (triangle choke) | wec 30 | 1 | 2:30 | las vegas , nevada , united states |\n| win | 32 - 1 | darius turcinskas | submission (rear naked choke) | immac 2: attack | 2 | 0:57 | chicago , illinois , united states |\n| win | 31 - 1 | charles wilson | submission (triangle choke) | total fight challenge 7 | 3 | 1:29 | hammond , indiana , united states |\n| win | 30 - 1 | bobby gamboa | submission (rear naked choke) | afc 19 | 1 | 2:52 | boca raton , florida , united states |\n| win | 29 - 1 | derek collins | tko (punches) | total fight challenge 6 | 1 | 2:32 | hammond , indiana , united states |\n| win | 28 - 1 | richard nancoo | tko (punches) | ihc 10: tempest | 2 | n / a | hammond , indiana , united states |\n| win | 27 - 1 | joe pearson | submission (triangle choke) | total fight challenge 5 | 1 | 0:28 | hammond , indiana , united states |\n| win | 26 - 1 | ryan ackerman | submission (armbar) | ihc 9: purgatory | 1 | 4:45 | hammond , indiana , united states |\n| win | 25 - 1 | dan swift | decision (unanimous) | total fight challenge 3 | 3 | 5:00 | hammond , indiana , united states |\n| win | 24 - 1 | mike french | submission (triangle choke) | superbrawl 40 | 2 | 2:44 | hammond , indiana , united states |\n| win | 23 - 1 | jim bruketta | submission (triangle choke) | total fight challenge 2 | 2 | 2:08 | hammond , indiana , united states |\n| win | 22 - 1 | alex khanbabian | submission (armbar) | ihc 8: ethereal | 1 | 1:01 | hammond , indiana , united states |\n| win | 21 - 1 | mustafa hussaini | tko (punches) | ihc 7: the crucible | 3 | 1:24 | hammond , indiana , united states |\n| loss | 20 - 1 | ryan ackerman | decision (unanimous) | ihc 6: inferno | 3 | 5:00 | hammond , indiana , united states |\n| win | 20 - 0 | lindsey durlacher | decision (unanimous) | ihc 4: armageddon | 3 | 5:00 | hammond , indiana , united states |\n| win | 19 - 0 | brian szohr | submission (triangle choke) | tcc : battle of the badges | 1 | 3:36 | hammond , indiana , united states |\n| win | 18 - 0 | craig williamson | submission (triangle choke) | tcc : battle of the badges | 1 | 2:45 | hammond , indiana , united states |\n| win | 17 - 0 | steve reyna | tko (doctor stoppage) | ihc 3: exodus | 1 | 5:00 | hammond , indiana , united states |\n| win | 16 - 0 | nick mitchell | decision (unanimous) | ihc 3: exodus | 2 | 5:00 | hammond , indiana , united states |\n| win | 15 - 0 | danny long | ko (punches) | total combat challenge | 1 | n / a | hammond , indiana , united states |\n| win | 14 - 0 | patrick rodriguez | submission | finke 's fcc | 2 | 1:41 | highland , indiana , united states |\n| win | 13 - 0 | josh mason | submission (punches) | cage rage 2 | 2 | n / a | kokomo , indiana , united states |\n| win | 12 - 0 | mark jaromillo | submission (armbar) | finke 's fcc | 2 | 2:40 | highland , indiana , united states |\n| win | 11 - 0 | david odle | submission (punches) | finke 's fcc | 1 | 2:05 | highland , indiana , united states |\n| win | 10 - 0 | danny alexander | submission (rear naked choke) | finke 's fcc | 1 | 0:58 | highland , indiana , united states |\n| win | 9 - 0 | jesse gudenschwagger | tko (doctor stoppage) | mma invitational 4 | 2 | 5:00 | hammond , indiana , united states |\n| win | 8 - 0 | chad bratton | decision (unanimous) | extreme shootfighting | 1 | 15:00 | indianapolis , indiana , united states |\n| win | 7 - 0 | ricky olson | decision (unanimous) | extreme shootfighting | 1 | 15:00 | indianapolis , indiana , united states |\n| win | 6 - 0 | cory merriman | submission (punches) | extreme shootfighting | 1 | 1:27 | indianapolis , indiana , united states |\n| win | 5 - 0 | dan caesar | submission (punches) | finke 's fcc | 1 | 4:30 | highland , indiana , united states |\n| win | 4 - 0 | kris kramer | submission (triangle choke) | finke 's fcc | 1 | 3:00 | highland , indiana , united states |\n| win | 3 - 0 | michael reyna | submission (punches) | finke 's fcc | 1 | 1:22 | highland , indiana , united states |\n| win | 2 - 0 | dan caesar | submission (guillotine choke) | finke 's fcc | 1 | 4:09 | highland , indiana , united states |\n| win | 1 - 0 | larry pulliam | tko (punches) | finke 's fcc | 1 | 0:10 | highland , indiana , united states |" + } + ] + }, + { + "id": "table_recognition_train_item_31690", + "image": "table_instructV/images/TABMWP_10187.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 8 | 1 |\n| 9 | 10 |\n| 10 | 19 |" + } + ] + }, + { + "id": "table_recognition_train_item_113993", + "image": "table_instructV/images/Rotowire_train_table_1339.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 76ers | Philadelphia | 98 | 27 | 20 | 24 | 27 | 27 | 47 | 14 | 39 | 81 | 25 | 11 | 25 | | | | |\n| Knicks | New York | 97 | 32 | 20 | 23 | 22 | 20 | 40 | 13 | 49 | 90 | 18 | 17 | 22 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Joel Embiid | 27 | 21 | 14 | 1 | 7-20 | 35% | 1-3 | 33% | 6-7 | 86% | 1 | 1 | 1 | 5 | 9 | 3 | C | Philadelphia |\n| Ersan Ilyasova | 30 | 16 | 4 | 5 | 5-16 | 31% | 1-8 | 13% | 5-6 | 83% | 0 | 3 | 0 | 2 | 2 | 1 | F | Philadelphia |\n| Nerlens Noel | 21 | 13 | 8 | 1 | 5-8 | 63% | 0-0 | 0% | 3-4 | 75% | 2 | 2 | 0 | 4 | 4 | 1 | N/A | Philadelphia |\n| Robert Covington | 32 | 13 | 5 | 4 | 5-10 | 50% | 3-6 | 50% | 0-0 | 0% | 1 | 2 | 0 | 1 | 4 | 1 | F | Philadelphia |\n| Gerald Henderson | 26 | 12 | 2 | 1 | 5-10 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Philadelphia |\n| T.J. McConnell | 34 | 8 | 6 | 7 | 4-6 | 67% | 0-0 | 0% | 0-0 | 0% | 2 | 2 | 0 | 2 | 4 | 1 | G | Philadelphia |\n| Timothe Luwawu-Cabarrot | 12 | 5 | 2 | 1 | 2-4 | 50% | 0-1 | 0% | 1-2 | 50% | 1 | 0 | 0 | 1 | 1 | 3 | N/A | Philadelphia |\n| Nik Stauskas | 22 | 5 | 2 | 3 | 2-6 | 33% | 1-4 | 25% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 1 | G | Philadelphia |\n| Dario Saric | 21 | 3 | 3 | 0 | 1-8 | 13% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 0 | N/A | Philadelphia |\n| Sergio Rodriguez | 14 | 2 | 1 | 4 | 1-7 | 14% | 0-3 | 0% | 0-0 | 0% | 0 | 3 | 0 | 1 | 0 | 0 | N/A | Philadelphia |\n| Jahlil Okafor | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Chasson Randle | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Richaun Holmes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Knicks | | | | | | | | | | | | | | | | | | |\n| Carmelo Anthony | 37 | 28 | 2 | 1 | 11-25 | 44% | 2-6 | 33% | 4-4 | 100% | 1 | 1 | 3 | 1 | 1 | 1 | F | New York |\n| Derrick Rose | 32 | 25 | 2 | 4 | 11-16 | 69% | 0-0 | 0% | 3-4 | 75% | 1 | 2 | 0 | 0 | 2 | 1 | G | New York |\n| Kyle O'Quinn | 24 | 10 | 15 | 3 | 5-6 | 83% | 0-1 | 0% | 0-0 | 0% | 1 | 2 | 2 | 3 | 12 | 4 | N/A | New York |\n| Brandon Jennings | 24 | 9 | 3 | 2 | 4-6 | 67% | 1-1 | 100% | 0-0 | 0% | 0 | 3 | 0 | 0 | 3 | 0 | N/A | New York |\n| Kristaps Porzingis | 28 | 7 | 2 | 2 | 3-10 | 30% | 1-6 | 17% | 0-0 | 0% | 1 | 1 | 2 | 0 | 2 | 4 | F | New York |\n| Courtney Lee | 27 | 7 | 2 | 4 | 3-7 | 43% | 0-3 | 0% | 1-1 | 100% | 0 | 1 | 0 | 1 | 1 | 2 | G | New York |\n| Joakim Noah | 20 | 7 | 6 | 0 | 3-6 | 50% | 0-0 | 0% | 1-1 | 100% | 2 | 0 | 1 | 3 | 3 | 4 | C | New York |\n| Justin Holiday | 15 | 4 | 2 | 1 | 2-5 | 40% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 0 | N/A | New York |\n| Mindaugas Kuzminskas | 10 | 0 | 0 | 1 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 1 | 2 | 0 | 0 | 0 | 1 | N/A | New York |\n| Lance Thomas | 20 | 0 | 6 | 2 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 6 | 3 | N/A | New York |\n| Willy Hernangomez | 3 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | New York |\n| Ron Baker | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Sasha Vujacic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |" + } + ] + }, + { + "id": "table_recognition_train_item_31889", + "image": "table_instructV/images/TABMWP_12205.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $240 | 15,800 | 5,200 |\n| $420 | 13,600 | 8,600 |\n| $600 | 11,400 | 12,000 |\n| $780 | 9,200 | 15,400 |\n| $960 | 7,000 | 18,800 |" + } + ] + }, + { + "id": "table_recognition_train_item_114283", + "image": "table_instructV/images/Rotowire_train_table_1484.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Warriors | Golden State | 99 | 36 | 19 | 22 | 22 | 31 | 39 | 16 | 53 | 69 | 33 | 2 | 0 | | | | |\n| Rockets | Houston | 98 | 28 | 27 | 20 | 23 | 20 | 39 | 10 | 46 | 68 | 30 | 0 | 2 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 37 | 33 | 3 | 6 | 13-21 | 62% | 5-11 | 46% | 2-3 | 67% | 1 | 6 | 0 | 0 | 3 | 2 | G | Golden State |\n| Andrew Bogut | 31 | 14 | 8 | 4 | 7-9 | 78% | 0-0 | 0% | 0-1 | 0% | 0 | 4 | 5 | 2 | 6 | 4 | C | Golden State |\n| Klay Thompson | 33 | 13 | 4 | 1 | 6-15 | 40% | 1-7 | 14% | 0-0 | 0% | 0 | 2 | 1 | 0 | 4 | 4 | G | Golden State |\n| Draymond Green | 39 | 12 | 8 | 7 | 3-9 | 33% | 1-3 | 33% | 5-7 | 71% | 1 | 4 | 1 | 0 | 8 | 4 | F | Golden State |\n| Shaun Livingston | 14 | 8 | 4 | 0 | 4-4 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 3 | 1 | N/A | Golden State |\n| Harrison Barnes | 28 | 7 | 4 | 4 | 3-8 | 38% | 1-2 | 50% | 0-0 | 0% | 2 | 0 | 0 | 2 | 2 | 0 | F | Golden State |\n| Andre Iguodala | 32 | 6 | 2 | 6 | 2-2 | 100% | 0-0 | 0% | 2-2 | 100% | 2 | 0 | 0 | 0 | 2 | 0 | N/A | Golden State |\n| Leandro Barbosa | 15 | 4 | 0 | 3 | 2-6 | 33% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Golden State |\n| Festus Ezeli | 12 | 2 | 6 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 2 | 4 | 2 | N/A | Golden State |\n| James Michael McAdoo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Brandon Rush | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Justin Holiday | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| David Lee | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Rockets | | | | | | | | | | | | | | | | | | |\n| James Harden | 41 | 38 | 10 | 9 | 13-21 | 62% | 3-6 | 50% | 9-10 | 90% | 3 | 2 | 1 | 1 | 9 | 2 | G | Houston |\n| Dwight Howard | 40 | 19 | 17 | 1 | 8-11 | 73% | 0-0 | 0% | 3-7 | 43% | 2 | 2 | 1 | 5 | 12 | 3 | C | Houston |\n| Terrence Jones | 26 | 12 | 2 | 1 | 6-12 | 50% | 0-1 | 0% | 0-0 | 0% | 1 | 2 | 3 | 1 | 1 | 1 | N/A | Houston |\n| Josh Smith | 21 | 10 | 1 | 2 | 5-17 | 29% | 0-3 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 2 | F | Houston |\n| Jason Terry | 35 | 9 | 1 | 4 | 3-7 | 43% | 3-5 | 60% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 3 | G | Houston |\n| Trevor Ariza | 39 | 7 | 6 | 1 | 3-8 | 38% | 1-4 | 25% | 0-0 | 0% | 2 | 2 | 0 | 2 | 4 | 4 | F | Houston |\n| Corey Brewer | 19 | 3 | 0 | 1 | 1-5 | 20% | 0-1 | 0% | 1-2 | 50% | 0 | 1 | 0 | 0 | 0 | 2 | N/A | Houston |\n| Clint Capela | 8 | 0 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | Houston |\n| Pablo Prigioni | 7 | 0 | 0 | 1 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 1 | N/A | Houston |\n| Nick Johnson | 3 | 0 | 0 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Houston |\n| KJ McDaniels | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Joey Dorsey | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Kostas Papanikolaou | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |" + } + ] + }, + { + "id": "table_recognition_train_item_32126", + "image": "table_instructV/images/TABMWP_14644.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 10 | 18 |\n| 11 | 8 |\n| 12 | 5 |" + } + ] + }, + { + "id": "table_recognition_train_item_33190", + "image": "table_instructV/images/TABMWP_26784.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 12 | 12 |\n| 13 | 7 |\n| 14 | 2 |" + } + ] + }, + { + "id": "table_recognition_train_item_31130", + "image": "table_instructV/images/TABMWP_4381.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Location | Elevation (m) |\n| --- | --- |\n| Top of the skyscraper | 275 |\n| Bottom of the mine | -260 |" + } + ] + }, + { + "id": "table_recognition_train_item_105344", + "image": "table_instructV/images/ToTTo_train_table_22451.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Call sign | Frequency | City of license | Also serves | FCC info |\n| --- | --- | --- | --- | --- |\n| WBYH | 89.1 FM | Hawley, Pennsylvania | Lake Wallenpaupack area | FCC |\n| WBYO | 88.9 FM | Sellersville, Pennsylvania | Philadelphia area | FCC |\n| WBYX | 88.7 FM | Stroudsburg, Pennsylvania | | FCC |\n| WLHI | 90.3 FM | Schnecksville, Pennsylvania | Allentown, Pennsylvanian area | FCC |\n| WPAZ | 1370 AM | Pottstown, Pennsylvania | | FCC |\n| WYTL | 91.9 FM | Wyomissing, Pennsylvania | Reading/Lancaster County, Pennsylvania area | FCC |\n| WZMV | 89.1 FM | Mohrsville, Pennsylvania | Berks County, Pennsylvania area | FCC |\n| WZXB | 90.5 FM | Bechtelsville, Pennsylvania | Berks County/upper Montgomery County area | FCC |\n| WZXE | 88.3 FM | East Nottingham, Pennsylvania | Rising Sun, Maryland area | FCC |\n| WZXH | 91.7 FM | Hagerstown, Maryland | Martinsburg, West Virginia | FCC |\n| WZXM | 88.1 FM | Harrisburg, Pennsylvania | | FCC |\n| WZXN | 90.1 FM | Newburg, Pennsylvania | Carlisle, Pennsylvania area | FCC |\n| WZXQ | 88.3 FM | Chambersburg, Pennsylvania | | FCC |\n| WZXY | 90.7 FM | Spring Grove, Pennsylvania | York/Hanover/Gettysburg, Pennsylvania area | FCC |\n| WZZD | 88.1 FM | Warwick, Pennsylvania | Chester County, Pennsylvania area | FCC |\n| WZZH | 90.9 FM | Honesdale, Pennsylvania | | FCC |" + } + ] + }, + { + "id": "table_recognition_train_item_113735", + "image": "table_instructV/images/Rotowire_train_table_1210.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pacers | Indiana | 93 | 20 | 21 | 32 | 20 | 19 | 37 | 10 | 38 | 66 | 31 | 29 | 22 | | | | |\n| Thunder | Oklahoma City | 90 | 25 | 27 | 18 | 20 | 17 | 61 | 16 | 39 | 71 | 25 | 30 | 23 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| Paul George | 33 | 21 | 8 | 4 | 7-20 | 35% | 2-9 | 22% | 5-6 | 83% | 2 | 5 | 0 | 4 | 4 | 3 | F | Indiana |\n| Jeff Teague | 34 | 17 | 4 | 3 | 6-16 | 38% | 2-4 | 50% | 3-4 | 75% | 1 | 2 | 1 | 0 | 4 | 1 | G | Indiana |\n| Glenn Robinson III | 24 | 14 | 2 | 1 | 5-5 | 100% | 3-3 | 100% | 1-2 | 50% | 1 | 0 | 0 | 1 | 1 | 0 | N/A | Indiana |\n| Myles Turner | 36 | 10 | 5 | 2 | 3-12 | 25% | 0-2 | 0% | 4-7 | 57% | 2 | 1 | 4 | 3 | 2 | 4 | C | Indiana |\n| Rodney Stuckey | 14 | 9 | 1 | 1 | 2-6 | 33% | 0-1 | 0% | 5-5 | 100% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Indiana |\n| Al Jefferson | 12 | 8 | 5 | 1 | 4-9 | 44% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 2 | 3 | 1 | N/A | Indiana |\n| CJ Miles | 20 | 8 | 3 | 0 | 3-10 | 30% | 1-7 | 14% | 1-1 | 100% | 0 | 0 | 0 | 0 | 3 | 3 | G | Indiana |\n| Kevin Seraphin | 15 | 2 | 2 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 3 | 0 | 2 | 1 | N/A | Indiana |\n| Lavoy Allen | 30 | 2 | 5 | 3 | 1-4 | 25% | 0-0 | 0% | 0-2 | 0% | 0 | 1 | 2 | 3 | 2 | 2 | F | Indiana |\n| Monta Ellis | 22 | 2 | 2 | 4 | 1-3 | 33% | 0-0 | 0% | 0-2 | 0% | 1 | 0 | 0 | 0 | 2 | 2 | N/A | Indiana |\n| Rakeem Christmas | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Joe Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Aaron Brooks | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Russell Westbrook | 37 | 27 | 18 | 9 | 10-27 | 37% | 4-10 | 40% | 3-4 | 75% | 1 | 4 | 2 | 2 | 16 | 3 | G | Oklahoma City |\n| Steven Adams | 37 | 15 | 9 | 2 | 6-13 | 46% | 0-0 | 0% | 3-4 | 75% | 0 | 3 | 1 | 7 | 2 | 3 | C | Oklahoma City |\n| Victor Oladipo | 36 | 14 | 5 | 2 | 4-16 | 25% | 0-6 | 0% | 6-6 | 100% | 1 | 1 | 1 | 0 | 5 | 3 | G | Oklahoma City |\n| Andre Roberson | 36 | 11 | 11 | 1 | 5-8 | 63% | 0-0 | 0% | 1-3 | 33% | 2 | 2 | 2 | 3 | 8 | 2 | F | Oklahoma City |\n| Jerami Grant | 28 | 8 | 4 | 0 | 3-7 | 43% | 1-3 | 33% | 1-2 | 50% | 1 | 1 | 5 | 3 | 1 | 4 | N/A | Oklahoma City |\n| Joffrey Lauvergne | 20 | 7 | 6 | 0 | 3-5 | 60% | 0-1 | 0% | 1-2 | 50% | 0 | 2 | 0 | 2 | 4 | 0 | N/A | Oklahoma City |\n| Alex Abrines | 8 | 6 | 1 | 0 | 2-4 | 50% | 2-4 | 50% | 0-0 | 0% | 0 | 1 | 0 | 1 | 0 | 2 | N/A | Oklahoma City |\n| Cameron Payne | 13 | 2 | 3 | 2 | 1-4 | 25% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 2 | 2 | N/A | Oklahoma City |\n| Domantas Sabonis | 10 | 0 | 2 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 2 | F | Oklahoma City |\n| Anthony Morrow | 14 | 0 | 2 | 0 | 0-3 | 0% | 0-3 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 2 | 0 | N/A | Oklahoma City |\n| Nick Collison | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Semaj Christon | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Kyle Singler | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |" + } + ] + }, + { + "id": "table_recognition_train_item_65078", + "image": "table_instructV/images/TabFact_2-1822278-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| rank | nation | gold | silver | bronze | total |\n| --- | --- | --- | --- | --- | --- |\n| 1 | soviet union | 11 | 13 | 12 | 36 |\n| 2 | east germany | 11 | 10 | 8 | 29 |\n| 3 | great britain | 8 | 2 | 5 | 15 |\n| 4 | bulgaria | 3 | 4 | 1 | 8 |\n| 5 | italy | 2 | 6 | 2 | 10 |\n| 6 | west germany | 2 | 4 | 5 | 11 |\n| 7 | france | 1 | 1 | 2 | 4 |\n| 8 | spain | 1 | 0 | 2 | 3 |\n| 9 | czechoslovakia | 1 | 0 | 0 | 1 |\n| 9 | norway | 1 | 0 | 0 | 1 |\n| 9 | portugal | 1 | 0 | 0 | 1 |\n| 9 | switzerland | 1 | 0 | 0 | 1 |\n| 13 | sweden | 0 | 1 | 2 | 3 |\n| 14 | romania | 0 | 1 | 1 | 2 |\n| 15 | finland | 0 | 1 | 0 | 1 |\n| 16 | netherlands | 0 | 0 | 2 | 2 |\n| 17 | poland | 0 | 0 | 1 | 1 |\n| 17 | total | 43 | 43 | 43 | 129 |" + } + ] + }, + { + "id": "table_recognition_train_item_105144", + "image": "table_instructV/images/ToTTo_train_table_21580.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Discipline | Season | Performance | Place | Date |\n| --- | --- | --- | --- | --- |\n| 1500 m | 2004 | 3:58:28 | Moscow, Russia | May 30, 2004 |\n| 1500 m | 2003 | 4:07:25 | Beograd, Serbia | May 25, 2003 |\n| 1500 m | 2002 | 4:11:00 | İzmir, Turkey | May 11, 2002 |\n| 1500 m | 2001 | 4:11:31 | Istanbul, Turkey | July 28, 2001 |\n| 2000 m | 2003 | 5:33:83 | Istanbul, Turkey | June 7, 2003 |\n| 3000 m | 2004 | 8:35:83 | Doha, Qatar | May 14, 2004 |\n| 3000 m | 2003 | 8:42:29 | İzmir, Turkey | May 11, 2003 |\n| 3000 m | 2002 | 8:31:94 | Brussels, Belgium | August 30, 2002 |\n| 3000 m | 2001 | 8:53:42 | Grosseto, Italy | July 21, 2001 |\n| 3000 m | 2000 | 9:08:07 | İzmir, Turkey | May 21, 2000 |\n| 3000 m | 1999 | 9:08:29 | Bydgoszcz, Poland | July 17, 1999 |\n| 5000 m | 2004 | 14:24:68 | Bergen, Norway | June 11, 2004 |\n| 5000 m | 2003 | 14:53:56 | Paris, France | August 30, 2003 |\n| 5000 m | 2002 | 15:00:49 | Hengelo, Netherlands | June 2, 2002 |\n| 5000 m | 2001 | 15:21:12 | Grosseto, Italy | July 20, 2001 |\n| 5000 m | 2000 | 16:33:77 | Santiago de Chile, Chile | October 17, 2000 |\n| 5000 m | 1999 | 16:06:20 | Riga, Latvia | August 7, 1999 |\n| 10000 m | 2008 | 29:56.34 | Beijing, China | August 15, 2008 |\n| 10000 m | 2006 | 30:21.67 | Antalya, Turkey | April 15, 2006 |\n| 10000m | 2001 | 32:29:20 | Tunis, Tunisia | September 12, 2001 |" + } + ] + }, + { + "id": "table_recognition_train_item_105283", + "image": "table_instructV/images/ToTTo_train_table_22208.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Name | Chinese | Taiwanese | Hakka | Highest point |\n| --- | --- | --- | --- | --- |\n| Central Mountain Range | 中央山脈 | Tiong-iong Soaⁿ-me̍h | Tûng-ông Sân-ma̍k | 3,860 m (12,664 ft) — Xiuguluan Mountain |\n| Yushan Range | 玉山山脈 | Gio̍k-san Soaⁿ-me̍h | Ngiu̍k-Sân Sân-ma̍k | 3,952 m (12,966 ft) — Jade Mountain |\n| Xueshan Range | 雪山山脈 | Suat-soaⁿ Soaⁿ-me̍h | Siet-sân Sân-ma̍k | 3,886 m (12,749 ft) — Snow Mountain |\n| Alishan Range | 阿里山山脈 | A-lí-san Soaⁿ-me̍h | Â-lî-sân Sân-ma̍k | 2,663 m (8,737 ft) — Data Mountain |\n| Hai'an Range | 海岸山脈 | Hái-hōaⁿ Soaⁿ-me̍h | Hói-ngan Sân-ma̍k | 1,682 m (5,518 ft) — Xingang Mountain |" + } + ] + }, + { + "id": "table_recognition_train_item_100992", + "image": "table_instructV/images/ToTTo_train_table_4179.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| 1965 Rank | Title | Cast |\n| --- | --- | --- |\n| 1. | Waqt | Balraj Sahni, Sunil Dutt, Raaj Kumar, Shashi Kapoor, Sadhana, Sharmila Tagore |\n| 2. | Jab Jab Phool Khile | Shashi Kapoor, Nanda |\n| 3. | Himalaya Ki Godh Mein | Mala Sinha, Manoj Kumar |\n| 4. | Arzoo | Rajendra Kumar, Sadhana, Feroz |\n| 5. | Guide | Dev Anand, Waheeda Rehman, Kishore Sahu |\n| 6. | Janwar | Shammi Kapoor, Rajshree |\n| 7. | Khandan | Sunil Dutt, Nutan |\n| 8. | Gumnaam | Manoj Kumar, Nanda, Mehmood, Pran, Helen |\n| 9. | Mere Sanam | Biswajeet, Asha Parekh, Mumtaz |\n| 10. | Kaajal | Dharmendra, Meena Kumari, Raajkumar, Mumtaz, Padmini |" + } + ] + }, + { + "id": "table_recognition_train_item_51014", + "image": "table_instructV/images/TAT-QA_35e7fcf9-1282-4bf5-ab43-dc5e32fa0cab.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| | FY19 Individual Annual | FY19 |\n| --- | --- | --- |\n| NEO | Incentive Target (%) | Target ($) |\n| Gregory S. Clark | 150 | 1,500,000 |\n| Nicholas R. Noviello | 100 | 650,000 |\n| Amy L. Cappellanti-Wolf | 70 | 308,000 |\n| Samir Kapuria(1) | 100 | 450,000 |\n| Scott C. Taylor | 100 | 600,000 |" + } + ] + }, + { + "id": "table_recognition_train_item_113325", + "image": "table_instructV/images/Rotowire_train_table_1005.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Rockets | Houston | 87 | 29 | 27 | 13 | 18 | 13 | 46 | 22 | 35 | 81 | 24 | 6 | 1 | | | | |\n| Warriors | Golden State | 98 | 25 | 23 | 28 | 22 | 22 | 54 | 26 | 45 | 65 | 32 | 5 | 0 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Rockets | | | | | | | | | | | | | | | | | | |\n| James Harden | 43 | 22 | 7 | 7 | 8-24 | 33% | 1-11 | 9% | 5-6 | 83% | 2 | 5 | 0 | 0 | 7 | 0 | G | Houston |\n| Isaiah Canaan | 39 | 21 | 4 | 1 | 7-12 | 58% | 3-7 | 43% | 4-4 | 100% | 1 | 5 | 0 | 0 | 4 | 2 | G | Houston |\n| Donatas Motiejunas | 30 | 16 | 8 | 1 | 5-10 | 50% | 2-3 | 67% | 4-4 | 100% | 2 | 1 | 0 | 4 | 4 | 3 | N/A | Houston |\n| Jason Terry | 29 | 11 | 1 | 1 | 3-8 | 38% | 2-6 | 33% | 3-3 | 100% | 2 | 3 | 0 | 0 | 1 | 2 | N/A | Houston |\n| Trevor Ariza | 39 | 7 | 11 | 1 | 3-16 | 19% | 0-6 | 0% | 1-2 | 50% | 2 | 2 | 0 | 2 | 9 | 2 | F | Houston |\n| Troy Daniels | 5 | 3 | 0 | 1 | 1-2 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Houston |\n| Francisco Garcia | 10 | 3 | 0 | 0 | 1-2 | 50% | 1-2 | 50% | 0-0 | 0% | 2 | 1 | 0 | 0 | 0 | 1 | N/A | Houston |\n| Tarik Black | 15 | 2 | 5 | 0 | 1-3 | 33% | 0-0 | 0% | 0-2 | 0% | 0 | 0 | 0 | 3 | 2 | 1 | C | Houston |\n| Kostas Papanikolaou | 29 | 2 | 10 | 1 | 1-9 | 11% | 0-5 | 0% | 0-0 | 0% | 3 | 5 | 0 | 7 | 3 | 4 | F | Houston |\n| Dwight Howard | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Nick Johnson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Clint Capela | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Joey Dorsey | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 40 | 34 | 9 | 5 | 13-19 | 68% | 6-9 | 67% | 2-2 | 100% | 4 | 5 | 0 | 1 | 8 | 2 | G | Golden State |\n| Andre Iguodala | 31 | 15 | 4 | 3 | 6-11 | 55% | 2-4 | 50% | 1-2 | 50% | 1 | 1 | 1 | 2 | 2 | 2 | N/A | Golden State |\n| Draymond Green | 34 | 14 | 8 | 2 | 6-13 | 46% | 1-5 | 20% | 1-2 | 50% | 1 | 4 | 2 | 2 | 6 | 5 | F | Golden State |\n| Klay Thompson | 31 | 11 | 4 | 6 | 3-16 | 19% | 0-6 | 0% | 5-8 | 63% | 0 | 4 | 0 | 0 | 4 | 3 | G | Golden State |\n| Andrew Bogut | 37 | 8 | 18 | 1 | 4-10 | 40% | 0-0 | 0% | 0-1 | 0% | 0 | 2 | 4 | 4 | 14 | 2 | C | Golden State |\n| Leandro Barbosa | 18 | 6 | 3 | 2 | 3-8 | 38% | 0-3 | 0% | 0-0 | 0% | 1 | 3 | 0 | 0 | 3 | 1 | N/A | Golden State |\n| Marreese Speights | 7 | 6 | 2 | 0 | 3-3 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 2 | 0 | 1 | N/A | Golden State |\n| Harrison Barnes | 23 | 4 | 4 | 1 | 1-2 | 50% | 0-1 | 0% | 2-2 | 100% | 0 | 2 | 0 | 2 | 2 | 1 | F | Golden State |\n| Festus Ezeli | 3 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 0 | 1 | N/A | Golden State |\n| Shaun Livingston | 15 | 0 | 1 | 2 | 0-4 | 0% | 0-0 | 0% | 0-0 | 0% | 4 | 4 | 0 | 1 | 0 | 1 | N/A | Golden State |\n| Ognjen Kuzmic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Justin Holiday | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Brandon Rush | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |" + } + ] + }, + { + "id": "table_recognition_train_item_49682", + "image": "table_instructV/images/TAT-QA_9f534549-38ba-4479-98e7-a363c5457991.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| | | Years Ended December 31, | |\n| --- | --- | --- | --- |\n| | 2019 | 2018 | 2017 |\n| Current: | | | |\n| U.S. | $(391) | $(397) | $1,635 |\n| Non-U.S. | 10,666 | 12,538 | 7,150 |\n| Total Current | 10,275 | 12,141 | 8,785 |\n| Deferred: | | | |\n| U.S. | 558 | (330) | 17,597 |\n| Non-U.S. | 3,287 | (240) | (577) |\n| Total Deferred | 3,845 | (570) | 17,020 |\n| Total provision for income taxes | $14,120 | $11,571 | $25,805 |" + } + ] + }, + { + "id": "table_recognition_train_item_32742", + "image": "table_instructV/images/TABMWP_21552.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $245 | 19,100 | 3,000 |\n| $365 | 14,900 | 6,700 |\n| $485 | 10,700 | 10,400 |\n| $605 | 6,500 | 14,100 |\n| $725 | 2,300 | 17,800 |" + } + ] + }, + { + "id": "table_recognition_train_item_111941", + "image": "table_instructV/images/Rotowire_train_table_313.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wizards | Washington | 106 | 27 | 26 | 25 | 28 | 23 | 45 | 11 | 37 | 88 | 33 | 36 | 24 | | | | |\n| Raptors | Toronto | 114 | 35 | 27 | 17 | 35 | 16 | 51 | 17 | 51 | 78 | 44 | 37 | 25 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| John Wall | 38 | 30 | 8 | 7 | 9-24 | 38% | 4-8 | 50% | 8-10 | 80% | 1 | 1 | 3 | 2 | 6 | 3 | G | Washington |\n| Bradley Beal | 36 | 27 | 7 | 4 | 10-21 | 48% | 3-8 | 38% | 4-5 | 80% | 1 | 2 | 0 | 4 | 3 | 4 | G | Washington |\n| Otto Porter Jr. | 36 | 18 | 8 | 3 | 4-10 | 40% | 2-5 | 40% | 8-9 | 89% | 3 | 1 | 1 | 3 | 5 | 0 | F | Washington |\n| Markieff Morris | 37 | 11 | 8 | 5 | 4-13 | 31% | 1-3 | 33% | 2-2 | 100% | 1 | 2 | 1 | 2 | 6 | 3 | F | Washington |\n| Ian Mahinmi | 16 | 6 | 3 | 0 | 3-4 | 75% | 0-0 | 0% | 0-0 | 0% | 2 | 0 | 1 | 2 | 1 | 4 | N/A | Washington |\n| Marcin Gortat | 31 | 6 | 6 | 1 | 2-7 | 29% | 0-1 | 0% | 2-2 | 100% | 0 | 2 | 0 | 0 | 6 | 1 | C | Washington |\n| Bojan Bogdanovic | 20 | 6 | 1 | 1 | 1-5 | 20% | 0-2 | 0% | 4-4 | 100% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Washington |\n| Kelly Oubre Jr. | 12 | 2 | 2 | 0 | 1-4 | 25% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 3 | N/A | Washington |\n| Tomas Satoransky | 5 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 2 | 0 | 1 | N/A | Washington |\n| Brandon Jennings | 10 | 0 | 0 | 2 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Washington |\n| Sheldon McClellan | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Jason Smith | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Trey Burke | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| DeMar DeRozan | 38 | 32 | 13 | 5 | 10-17 | 59% | 3-3 | 100% | 9-12 | 75% | 0 | 4 | 0 | 2 | 11 | 2 | G | Toronto |\n| Norman Powell | 25 | 21 | 6 | 1 | 7-12 | 58% | 2-4 | 50% | 5-5 | 100% | 1 | 0 | 0 | 1 | 5 | 4 | N/A | Toronto |\n| Cory Joseph | 32 | 15 | 5 | 3 | 7-13 | 54% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 0 | 2 | 3 | 1 | G | Toronto |\n| Serge Ibaka | 33 | 14 | 8 | 1 | 6-15 | 40% | 2-7 | 29% | 0-0 | 0% | 0 | 3 | 2 | 1 | 7 | 4 | F | Toronto |\n| Delon Wright | 22 | 9 | 1 | 1 | 2-2 | 100% | 1-1 | 100% | 4-6 | 67% | 1 | 2 | 4 | 0 | 1 | 1 | N/A | Toronto |\n| Patrick Patterson | 28 | 8 | 7 | 2 | 2-8 | 25% | 2-5 | 40% | 2-2 | 100% | 0 | 3 | 1 | 2 | 5 | 1 | N/A | Toronto |\n| DeMarre Carroll | 26 | 7 | 5 | 3 | 3-7 | 43% | 1-5 | 20% | 0-0 | 0% | 2 | 0 | 0 | 1 | 4 | 3 | F | Toronto |\n| PJ Tucker | 24 | 6 | 3 | 0 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 1 | 1 | 2 | 4 | N/A | Toronto |\n| Jonas Valanciunas | 13 | 2 | 3 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 1 | 1 | 2 | 3 | C | Toronto |\n| Lucas Nogueira | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Pascal Siakam | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Jakob Poeltl | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Fred VanVleet | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |" + } + ] + }, + { + "id": "table_recognition_train_item_33409", + "image": "table_instructV/images/TABMWP_29082.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of streets | Number of parking spots |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_49340", + "image": "table_instructV/images/TAT-QA_d4dce5be-4bb8-46cb-9ca2-99dea4ba8f5c.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| | Twelve Months Ended December 31, | | | | |\n| --- | --- | --- | --- | --- | --- |\n| | 2019 | 2018 | 2017 | 2016 | 2015 |\n| | (Dollars in thousands) | | | | |\n| SG&A expenses | $114,450 | $94,876 | $75,167 | $62,586 | $58,297 |\n| Depreciation and amortization expense (a) | 9,551 | 7,977 | 6,901 | 5,859 | 5,008 |\n| Non-cash share-based compensation (b) | 6,912 | 5,949 | 4,195 | 3,972 | 3,723 |\n| Launch expense (c) | 4,563 | 3,540 | 3,066 | 2,813 | 2,626 |\n| Loss on disposal of equipment | 649 | — | — | — | — |\n| Secondary offering expenses (d) | 302 | 362 | — | — | 593 |\n| Leadership transition expenses (e) | — | — | 63 | 1,291 | — |\n| Litigation expense (f) | — | 348 | 145 | — | — |\n| Adjusted SG&A Expenses | $92,473 | $76,698 | $60,797 | $48,651 | $46,347 |\n| Adjusted SG&A Expenses as a % of Net Sales | 37.6% | 39.7% | 39.9% | 37.5% | 40.8% |" + } + ] + }, + { + "id": "table_recognition_train_item_54116", + "image": "table_instructV/images/TabFact_1-18333678-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| departure | going to | calling at | arrival | operator |\n| --- | --- | --- | --- | --- |\n| 06.40 | stamford east | ryhall & belmesthorpe , stamford east | 06.50 | gnr |\n| 08.10 | stamford east | ryhall & belmesthorpe , stamford east | 08.20 | gnr |\n| 08.30 | bourne | braceborough spa , thurlby , bourne | 08.50 | gnr |\n| 08.56 | stamford east | ryhall & belmesthorpe , stamford east | 09.06 | gnr |\n| 09.52 | grantham | little bytham , corby , great ponton , grantham | 10.35 | gnr |\n| 10.05 | stamford east | ryhall & belmesthorpe , stamford east | 10.15 | gnr |\n| 10.05 | bourne | braceborough spa , thurlby , bourne | 10.25 | gnr |\n| 11.07 | grantham | little bytham , corby , great ponton , grantham | 11.40 | gnr |\n| 11.27 | peterborough north | tallington , peterborough north | 11.46 | gnr |\n| 11.30 | bourne | braceborough spa , thurlby , bourne | 11.45 | gnr |\n| 11.35 | stamford east | ryhall & belmesthorpe , stamford east | 11.45 | gnr |\n| 13.25 | peterborough north | peterborough north | 13.41 | gnr |\n| 13.30 | stamford east | ryhall & belmesthorpe , stamford east | 13.39 | gnr |\n| 14.10 | stamford east | ryhall & belmesthorpe , stamford east | 14.20 | gnr |\n| 14.22 | bourne | braceborough spa , thurlby , bourne | 14.37 | gnr |\n| 15.50 | grantham | grantham | 16.11 | gnr |\n| 16.05 | stamford east | ryhall & belmesthorpe , stamford east | 16.15 | gnr |\n| 16.05 | bourne | braceborough spa , thurlby , bourne | 16.25 | gnr |\n| 17.17 | peterborough north | tallington , peterborough north | 17.36 | gnr |\n| 17.25 | stamford east | ryhall & belmesthorpe , stamford east | 17.35 | gnr |\n| 17.25 | bourne | braceborough spa , thurlby , bourne | 17.40 | gnr |\n| 18.48 | grantham | little bytham , grantham | 19.13 | gnr |\n| 19.09 | stamford east | ryhall & belmesthorpe , stamford east | 19.19 | gnr |\n| 19.12 | bourne | braceborough spa , thurlby , bourne | 19.26 | gnr |" + } + ] + }, + { + "id": "table_recognition_train_item_32834", + "image": "table_instructV/images/TABMWP_22725.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Number of drawers | Number of pairs of scissors |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_59702", + "image": "table_instructV/images/TabFact_2-18649514-10.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| rank | rider | team | speed | time |\n| --- | --- | --- | --- | --- |\n| 1 | daniel kneen | 400cc honda | 106.619 mph | 1:03.41.86 |\n| 2 | kirk farrow | 400cc honda | 105.905 mph | 1:04.07.62 |\n| 3 | ross johnson | 400cc kawasaki | 105.161 mph | 1:04.34.85 |\n| 4 | tim sayers | 400cc kawasaki | 105.009 mph | 1:04.40.47 |\n| 5 | dan hobson | 400c honda | 104.574 mph | 1:04.56.60 |\n| 6 | marie costello | 400cc honda | 103.668 mph | 1:05.30.66 |\n| 7 | mike minns | 650cc kawasaki | 103.659 mph | 1:05.31.01 |\n| 8 | anthony davies | 399cc yamaha | 103.389 mph | 1:05.41.28 |\n| 9 | anthony redmond | 650cc kawasaki | 103.047 mph | 1:05.54.35 |\n| 10 | alistair haworth | 400cc yamaha | 103.015 mph | 1:05.55.58 |" + } + ] + }, + { + "id": "table_recognition_train_item_66348", + "image": "table_instructV/images/TabFact_2-18812411-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| place | player | country | score | to par | money |\n| --- | --- | --- | --- | --- | --- |\n| t1 | ángel cabrera | argentina | 68 + 68 + 69 + 71 = 276 | - 12 | playoff |\n| t1 | chad campbell | united states | 65 + 70 + 72 + 69 = 276 | - 12 | playoff |\n| t1 | kenny perry | united states | 68 + 67 + 70 + 71 = 276 | - 12 | playoff |\n| 4 | shingo katayama | japan | 67 + 73 + 70 + 68 = 278 | - 10 | 360000 |\n| 5 | phil mickelson | united states | 73 + 68 + 71 + 67 = 279 | - 9 | 300000 |\n| t6 | john merrick | united states | 68 + 72 + 74 + 66 = 280 | - 8 | 242813 |\n| t6 | steve flesch | united states | 71 + 74 + 68 + 67 = 280 | - 8 | 242813 |\n| t6 | tiger woods | united states | 70 + 72 + 70 + 68 = 280 | - 8 | 242813 |\n| t6 | steve stricker | united states | 72 + 69 + 68 + 71 = 280 | - 8 | 242813 |\n| t10 | hunter mahan | united states | 66 + 75 + 71 + 69 = 281 | - 7 | 187500 |\n| t10 | sean o'hair | united states | 68 + 76 + 68 + 69 = 281 | - 7 | 187500 |\n| t10 | jim furyk | united states | 66 + 74 + 68 + 73 = 281 | - 7 | 187500 |" + } + ] + }, + { + "id": "table_recognition_train_item_33305", + "image": "table_instructV/images/TABMWP_28080.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 8 | 5 |\n| 9 | 7 |\n| 10 | 9 |" + } + ] + }, + { + "id": "table_recognition_train_item_58708", + "image": "table_instructV/images/TabFact_2-13004730-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| goal | date | venue | score | result | competition |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 29 february 2012 | independence stadium , bakau ( gambia ) | 1 - 2 | 1 - 2 | 2013 africa cup of nations qualification |\n| 2 | 2 june 2012 | stade mustapha tchaker , blida ( algeria ) | 1 - 0 | 4 - 0 | 2014 fifa world cup qualification |\n| 3 | 30 january 2013 | royal bafokeng stadium , rustenburg (south africa) | 1 - 0 | 2 - 2 | 2013 africa cup of nations |\n| 4 | 26 march 2013 | stade mustapha tchaker , blida ( algeria ) | 1 - 0 | 3 - 1 | 2014 fifa world cup qualification |\n| 5 | 12 october 2013 | stade du 4 - août , ouagadougou ( burkina faso ) | 1 - 1 | 2 - 3 | 2014 fifa world cup qualification |" + } + ] + }, + { + "id": "table_recognition_train_item_112221", + "image": "table_instructV/images/Rotowire_train_table_453.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kings | Sacramento | 105 | 23 | 30 | 23 | 29 | 23 | 46 | 19 | 45 | 89 | 36 | 23 | 32 | | | | |\n| Pelicans | New Orleans | 99 | 29 | 27 | 17 | 26 | 23 | 36 | 17 | 42 | 86 | 42 | 21 | 34 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Kings | | | | | | | | | | | | | | | | | | |\n| DeMarcus Cousins | 36 | 28 | 14 | 7 | 7-14 | 50% | 0-4 | 0% | 14-16 | 88% | 2 | 7 | 1 | 2 | 12 | 3 | F | Sacramento |\n| Darren Collison | 41 | 20 | 6 | 8 | 7-16 | 44% | 2-4 | 50% | 4-5 | 80% | 3 | 4 | 0 | 0 | 6 | 3 | G | Sacramento |\n| Matt Barnes | 34 | 12 | 5 | 3 | 5-9 | 56% | 2-6 | 33% | 0-0 | 0% | 0 | 2 | 1 | 1 | 4 | 1 | N/A | Sacramento |\n| Ben McLemore | 28 | 11 | 2 | 1 | 4-7 | 57% | 3-5 | 60% | 0-0 | 0% | 1 | 2 | 1 | 2 | 0 | 3 | G | Sacramento |\n| Arron Afflalo | 32 | 10 | 1 | 2 | 3-7 | 43% | 1-3 | 33% | 3-3 | 100% | 1 | 0 | 1 | 0 | 1 | 1 | F | Sacramento |\n| Anthony Tolliver | 24 | 9 | 6 | 0 | 3-9 | 33% | 3-7 | 43% | 0-0 | 0% | 2 | 1 | 0 | 0 | 6 | 3 | N/A | Sacramento |\n| Willie Cauley-Stein | 18 | 8 | 4 | 1 | 3-6 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 4 | 1 | N/A | Sacramento |\n| Kosta Koufos | 15 | 4 | 7 | 1 | 2-6 | 33% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 1 | 3 | 4 | 2 | C | Sacramento |\n| Malachi Richardson | 13 | 3 | 1 | 0 | 1-4 | 25% | 0-2 | 0% | 1-1 | 100% | 1 | 0 | 0 | 0 | 1 | 1 | N/A | Sacramento |\n| Georgios Papagiannis | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Skal Labissiere | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Ty Lawson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Pelicans | | | | | | | | | | | | | | | | | | |\n| Anthony Davis | 40 | 32 | 10 | 3 | 11-24 | 46% | 1-2 | 50% | 9-9 | 100% | 2 | 6 | 1 | 1 | 9 | 4 | C | New Orleans |\n| Jrue Holiday | 40 | 16 | 6 | 11 | 6-14 | 43% | 1-4 | 25% | 3-3 | 100% | 5 | 4 | 0 | 2 | 4 | 2 | G | New Orleans |\n| Dante Cunningham | 38 | 14 | 6 | 2 | 5-12 | 42% | 4-7 | 57% | 0-0 | 0% | 0 | 1 | 0 | 1 | 5 | 3 | F | New Orleans |\n| Solomon Hill | 34 | 9 | 2 | 0 | 3-5 | 60% | 3-5 | 60% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 3 | F | New Orleans |\n| Langston Galloway | 25 | 9 | 0 | 1 | 3-8 | 38% | 3-6 | 50% | 0-1 | 0% | 0 | 0 | 0 | 0 | 0 | 3 | N/A | New Orleans |\n| Donatas Motiejunas | 22 | 7 | 8 | 2 | 2-6 | 33% | 0-3 | 0% | 3-4 | 75% | 1 | 3 | 1 | 1 | 7 | 2 | N/A | New Orleans |\n| Tyreke Evans | 15 | 7 | 3 | 1 | 2-6 | 33% | 0-1 | 0% | 3-4 | 75% | 2 | 1 | 0 | 0 | 3 | 2 | N/A | New Orleans |\n| Buddy Hield | 14 | 5 | 0 | 2 | 2-5 | 40% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | G | New Orleans |\n| Tim Frazier | 11 | 0 | 1 | 1 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 0 | 2 | N/A | New Orleans |\n| Alexis Ajinca | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| Terrence Jones | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| Omer Asik | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| E'Twaun Moore | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |" + } + ] + }, + { + "id": "table_recognition_train_item_33134", + "image": "table_instructV/images/TABMWP_26164.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 2 | 14 |\n| 19 | 15 |\n| 4 | 16 |\n| 17 | 11 |" + } + ] + }, + { + "id": "table_recognition_train_item_100054", + "image": "table_instructV/images/ToTTo_train_table_186.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Far North FL | Wins | Byes | Losses | Draws | For | Against | % | Pts | Final | Team | G | B | Pts | Team | G | B | Pts |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Roxby Districts | 10 | 3 | 2 | 0 | 1319 | 589 | 69.13% | 20 | 1st Semi | Hornridge | 8 | 7 | 55 | Andamooka | 7 | 11 | 53 |\n| Olympic Dam | 9 | 3 | 3 | 0 | 1309 | 560 | 70.04% | 18 | 2nd Semi | Olympic Dam | 19 | 6 | 120 | Roxby Districts | 4 | 7 | 31 |\n| Andamooka | 6 | 3 | 6 | 0 | 765 | 869 | 46.82% | 12 | Preliminary | Roxby Districts | 10 | 8 | 68 | Hornridge | 6 | 5 | 41 |\n| Hornridge | 3 | 3 | 9 | 0 | 847 | 1006 | 45.71% | 6 | Grand | Olympic Dam | 11 | 3 | 69 | Roxby Districts | 9 | 7 | 61 |\n| Coober Pedy | 2 | 3 | 10 | 0 | 478 | 1694 | 22.01% | 4 | | | | | | | | | |" + } + ] + }, + { + "id": "table_recognition_train_item_34885", + "image": "table_instructV/images/TABMWP_16777.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Number of bags | Number of yellow buttons |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | 40 |\n| 5 | 50 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_35483", + "image": "table_instructV/images/TABMWP_35252.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $240 | 23,100 | 11,600 |\n| $390 | 21,800 | 12,800 |\n| $540 | 20,500 | 14,000 |\n| $690 | 19,200 | 15,200 |\n| $840 | 17,900 | 16,400 |" + } + ] + }, + { + "id": "table_recognition_train_item_31640", + "image": "table_instructV/images/TABMWP_9593.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Number of necklaces | Number of pearls |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | 40 |\n| 5 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_33645", + "image": "table_instructV/images/TABMWP_31209.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $1,000 | 22,500 | 14,600 |\n| $1,100 | 20,700 | 14,800 |\n| $1,200 | 18,900 | 15,000 |\n| $1,300 | 17,100 | 15,200 |\n| $1,400 | 15,300 | 15,400 |" + } + ] + }, + { + "id": "table_recognition_train_item_34169", + "image": "table_instructV/images/TABMWP_36546.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Number of stacks | Number of CDs |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | 40 |\n| 5 | 50 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_30963", + "image": "table_instructV/images/TABMWP_2588.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Option | Change in phone price |\n| --- | --- |\n| Add an upgrade | $60 |\n| Buy a used phone | -$75 |" + } + ] + }, + { + "id": "table_recognition_train_item_113967", + "image": "table_instructV/images/Rotowire_train_table_1326.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Spurs | San Antonio | 102 | 24 | 24 | 31 | 23 | 26 | 59 | 19 | 43 | 74 | 29 | 38 | 11 | | | | |\n| 76ers | Philadelphia | 86 | 21 | 32 | 20 | 13 | 21 | 46 | 21 | 34 | 74 | 36 | 18 | 31 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Kawhi Leonard | 25 | 19 | 8 | 5 | 8-17 | 47% | 0-2 | 0% | 3-5 | 60% | 2 | 4 | 2 | 4 | 4 | 1 | F | San Antonio |\n| Dewayne Dedmon | 22 | 13 | 10 | 1 | 5-7 | 71% | 0-0 | 0% | 3-3 | 100% | 0 | 2 | 2 | 2 | 8 | 4 | C | San Antonio |\n| David Lee | 17 | 12 | 9 | 1 | 4-7 | 57% | 0-0 | 0% | 4-6 | 67% | 2 | 3 | 2 | 3 | 6 | 1 | N/A | San Antonio |\n| Davis Bertans | 30 | 12 | 6 | 3 | 5-14 | 36% | 2-8 | 25% | 0-0 | 0% | 2 | 2 | 0 | 2 | 4 | 2 | F | San Antonio |\n| Danny Green | 29 | 12 | 4 | 0 | 5-10 | 50% | 2-5 | 40% | 0-0 | 0% | 2 | 0 | 0 | 1 | 3 | 3 | G | San Antonio |\n| Patty Mills | 18 | 12 | 2 | 4 | 5-9 | 56% | 2-3 | 67% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | San Antonio |\n| Jonathon Simmons | 19 | 11 | 3 | 0 | 3-8 | 38% | 0-1 | 0% | 5-6 | 83% | 0 | 0 | 1 | 0 | 3 | 2 | N/A | San Antonio |\n| Joel Anthony | 13 | 4 | 4 | 0 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 2 | 2 | 1 | N/A | San Antonio |\n| Kyle Anderson | 24 | 4 | 5 | 3 | 1-3 | 33% | 0-0 | 0% | 2-2 | 100% | 3 | 3 | 1 | 0 | 5 | 1 | N/A | San Antonio |\n| Manu Ginobili | 9 | 2 | 4 | 2 | 0-3 | 0% | 0-1 | 0% | 2-3 | 67% | 0 | 2 | 0 | 0 | 4 | 2 | N/A | San Antonio |\n| Tony Parker | 26 | 1 | 4 | 6 | 0-5 | 0% | 0-0 | 0% | 1-2 | 50% | 1 | 0 | 0 | 0 | 4 | 1 | G | San Antonio |\n| Dejounte Murray | 5 | 0 | 0 | 1 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 1 | N/A | San Antonio |\n| Bryn Forbes | 3 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | San Antonio |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Ersan Ilyasova | 39 | 25 | 9 | 2 | 8-17 | 47% | 2-6 | 33% | 7-8 | 88% | 4 | 3 | 1 | 2 | 7 | 5 | F | Philadelphia |\n| Dario Saric | 36 | 14 | 8 | 1 | 5-17 | 29% | 2-7 | 29% | 2-2 | 100% | 1 | 6 | 0 | 3 | 5 | 3 | F | Philadelphia |\n| Jahlil Okafor | 25 | 9 | 9 | 3 | 4-12 | 33% | 0-0 | 0% | 1-1 | 100% | 0 | 1 | 0 | 3 | 6 | 3 | C | Philadelphia |\n| Timothe Luwawu-Cabarrot | 30 | 9 | 2 | 1 | 3-10 | 30% | 1-3 | 33% | 2-2 | 100% | 0 | 3 | 1 | 1 | 1 | 1 | N/A | Philadelphia |\n| Nik Stauskas | 28 | 8 | 4 | 1 | 2-10 | 20% | 2-5 | 40% | 2-2 | 100% | 1 | 1 | 1 | 1 | 3 | 3 | G | Philadelphia |\n| Sergio Rodriguez | 17 | 8 | 2 | 4 | 3-7 | 43% | 1-1 | 100% | 1-2 | 50% | 2 | 4 | 0 | 0 | 2 | 2 | N/A | Philadelphia |\n| Chasson Randle | 15 | 5 | 1 | 1 | 2-6 | 33% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Philadelphia |\n| T.J. McConnell | 32 | 4 | 5 | 7 | 2-5 | 40% | 0-1 | 0% | 0-0 | 0% | 2 | 3 | 1 | 0 | 5 | 3 | G | Philadelphia |\n| Richaun Holmes | 19 | 4 | 6 | 1 | 1-4 | 25% | 0-0 | 0% | 2-6 | 33% | 0 | 0 | 1 | 2 | 4 | 1 | N/A | Philadelphia |\n| Robert Covington | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Gerald Henderson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Joel Embiid | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Nerlens Noel | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |" + } + ] + }, + { + "id": "table_recognition_train_item_69736", + "image": "table_instructV/images/TabFact_2-16615577-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| athlete | event | 100h | 200 m | 800 m | final | rank |\n| --- | --- | --- | --- | --- | --- | --- |\n| pramila gudanda | result | 13.97 | 24.92 | 2:23.46 | 5771 | 27 |\n| pramila gudanda | points | 983 | 894 | 777 | 5771 | 27 |\n| shobha javur | result | 13.62 | 24.62 | 2:27.50 | 5749 | 29 |\n| shobha javur | points | 1033 | 922 | 725 | 5749 | 29 |\n| susmita singha roy | result | 14.11 | 24.34 | 2:21.14 | 5705 | 32 |\n| susmita singha roy | points | 963 | 948 | 808 | 5705 | 32 |" + } + ] + }, + { + "id": "table_recognition_train_item_117305", + "image": "table_instructV/images/Rotowire_train_table_2995.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Heat | Miami | 129 | 36 | 29 | 30 | 34 | 28 | 38 | 15 | 68 | 76 | 50 | 34 | 26 | | | | |\n| Bulls | Chicago | 111 | 30 | 32 | 20 | 29 | 20 | 29 | 9 | 46 | 69 | 48 | 30 | 29 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Hassan Whiteside | 33 | 26 | 14 | 1 | 8-11 | 73% | 0-0 | 0% | 10-11 | 91% | 0 | 1 | 4 | 1 | 13 | 1 | N/A | Miami |\n| Joe Johnson | 33 | 24 | 5 | 4 | 10-13 | 77% | 2-3 | 67% | 2-2 | 100% | 0 | 2 | 1 | 1 | 4 | 1 | F | Miami |\n| Luol Deng | 37 | 20 | 4 | 2 | 8-10 | 80% | 3-3 | 100% | 1-2 | 50% | 1 | 2 | 0 | 0 | 4 | 5 | F | Miami |\n| Dwyane Wade | 34 | 18 | 2 | 7 | 7-13 | 54% | 0-0 | 0% | 4-6 | 67% | 1 | 5 | 1 | 0 | 2 | 5 | G | Miami |\n| Goran Dragic | 35 | 17 | 4 | 11 | 8-14 | 57% | 0-2 | 0% | 1-2 | 50% | 1 | 1 | 0 | 0 | 4 | 3 | G | Miami |\n| Josh Richardson | 27 | 9 | 3 | 2 | 4-7 | 57% | 1-3 | 33% | 0-1 | 0% | 2 | 0 | 0 | 0 | 3 | 4 | N/A | Miami |\n| Justise Winslow | 27 | 8 | 2 | 0 | 4-6 | 67% | 0-1 | 0% | 0-0 | 0% | 0 | 3 | 0 | 0 | 2 | 2 | N/A | Miami |\n| Amar'e Stoudemire | 15 | 7 | 4 | 1 | 3-3 | 100% | 0-0 | 0% | 1-1 | 100% | 0 | 1 | 5 | 2 | 2 | 2 | C | Miami |\n| Gerald Green | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Udonis Haslem | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Josh McRoberts | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Derrick Rose | 24 | 17 | 0 | 3 | 6-11 | 55% | 1-1 | 100% | 4-7 | 57% | 1 | 3 | 0 | 0 | 0 | 0 | G | Chicago |\n| Aaron Brooks | 22 | 16 | 2 | 1 | 5-15 | 33% | 3-5 | 60% | 3-5 | 60% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Chicago |\n| Pau Gasol | 30 | 15 | 9 | 6 | 6-13 | 46% | 1-2 | 50% | 2-2 | 100% | 0 | 1 | 1 | 1 | 8 | 2 | C | Chicago |\n| Taj Gibson | 23 | 13 | 3 | 1 | 4-6 | 67% | 0-0 | 0% | 5-7 | 71% | 1 | 1 | 0 | 2 | 1 | 2 | F | Chicago |\n| Bobby Portis | 27 | 11 | 7 | 0 | 5-8 | 63% | 1-1 | 100% | 0-0 | 0% | 4 | 1 | 0 | 2 | 5 | 4 | N/A | Chicago |\n| Doug McDermott | 26 | 11 | 1 | 1 | 5-12 | 42% | 0-2 | 0% | 1-1 | 100% | 1 | 1 | 0 | 1 | 0 | 0 | N/A | Chicago |\n| Mike Dunleavy | 29 | 10 | 2 | 1 | 4-7 | 57% | 2-4 | 50% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 3 | F | Chicago |\n| E'Twaun Moore | 19 | 8 | 2 | 2 | 3-6 | 50% | 2-4 | 50% | 0-0 | 0% | 2 | 1 | 0 | 0 | 2 | 4 | G | Chicago |\n| Justin Holiday | 16 | 7 | 1 | 3 | 2-6 | 33% | 1-3 | 33% | 2-2 | 100% | 1 | 0 | 1 | 0 | 1 | 1 | N/A | Chicago |\n| Tony Snell | 15 | 2 | 0 | 1 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 3 | N/A | Chicago |\n| Cameron Bairstow | 1 | 1 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Chicago |\n| Cristiano Felicio | 6 | 0 | 1 | 1 | 0-3 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 1 | N/A | Chicago |\n| Jimmy Butler | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |" + } + ] + }, + { + "id": "table_recognition_train_item_59174", + "image": "table_instructV/images/TabFact_2-11784046-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| season | driver | co - driver | team | tuner | governing body |\n| --- | --- | --- | --- | --- | --- |\n| 2012 | amittrajit ghosh | ashwin naik | rrpm | brajan | fmsci |\n| 2011 | gaurav gill | musa sherif | mrf | janand | fmsci |\n| 2010 | naren kumar | d ram kumar | red rooster racing | n leelakrishnan | fmsci |\n| 2009 | gaurav gill | musa sherif | team mrf | janand | fmsci |\n| 2008 | vikram mathias | pvs murthy | red rooster racing | n leelakrishnan | mai |\n| 2007 | gaurav gill | musa sherif | team mrf | janand | mai |\n| 2006 | naren kumar | d ram kumar | jk rally team | n leelakrishnan | mai |\n| 2005 | naren kumar | d ram kumar | jk rally team | n leelakrishnan | mai |\n| 2004 | vikram mathias | sujith kumar | team mrf | n leelakrishnan | mai |\n| 2003 | naren kumar | d ram kumar | team mrf | n leelakrishnan | mai |\n| 2002 | naren kumar | d ram kumar | team mrf | n leelakrishnan | mai |\n| 2001 | n leelakrishnan | farooq ahmed | team mrf | n leelakrishnan | mai |\n| 2000 | naren kumar | d ram kumar | team mrf | n leelakrishnan | mai |\n| 1999 | naren kumar | farooq ahmed | team mrf | n leelakrishnan | fmsci |\n| 1998 | n leelakrishnan | farooq ahmed | team mrf | n leelakrishnan | fmsci |\n| 1997 | hari singh | gurinder singh mann | jk rally team | wsrf | fmsci |\n| 1996 | hari singh | gurinder singh mann | jk rally team | pnr satish | fmsci |\n| 1995 | hari singh | gurinder singh mann | jk rally team | skarivardhan | fmsci |\n| 1994 | hari singh | gurinder singh mann | jk rally team | skarivardhan | fmsci |\n| 1993 | n leelakrishnan | n mahindran | team mrf | n leelakrishnan | fmsci |\n| 1992 | n leelakrishnan | n mahindran | team mrf | n leelakrishnan | fmsci |\n| 1991 | n leelakrishnan | n mahindran | team mrf | n leelakrishnan | fmsci |\n| 1990 | n leelakrishnan | c v jaykumar | team mrf | n leelakrishnan | fmsci |\n| 1989 | farad bathena | raj bagri | team mrf | janand | fmsci |\n| 1988 | farad bathena | raj bagri | team mrf | mohinder lalwani | fmsci |" + } + ] + }, + { + "id": "table_recognition_train_item_67698", + "image": "table_instructV/images/TabFact_2-1226332-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| year | entrant | chassis | engine | points |\n| --- | --- | --- | --- | --- |\n| 1995 | parmalat forti ford | forti fg01 | ford edb 3.0 v8 | 0 |\n| 1996 | equipe ligier gauloises blondes | ligier js43 | mugen honda mf301ha 3.0 v10 | 2 |\n| 1997 | danka arrows yamaha | arrows a18 | yamaha ox11a 3.0 v10 | 2 |\n| 1998 | danka zepter arrows | arrows a19 | arrows t2 - f1 3.0 v10 | 3 |\n| 1999 | red bull sauber petronas | sauber c18 | petronas spe - 03a 3.0 v10 | 3 |\n| 2000 | red bull sauber petronas | sauber c19 | petronas spe 04a 3.0 v10 | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_63836", + "image": "table_instructV/images/TabFact_1-25346763-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| facility | location | year opened | major facility | population gender | capacity | custody level (s) |\n| --- | --- | --- | --- | --- | --- | --- |\n| airway heights corrections center (ahcc) | airway heights | 1992 | yes | male | 2258 | mi - 2 mi - 3 medium |\n| cedar creek corrections center (cccc) | littlerock | 1954 | no | male | 480 | mi - 2 |\n| clallam bay corrections center (cbcc) | clallam bay | 1985 | yes | male | 858 | medium close maximum |\n| coyote ridge corrections center (crcc) | connell | 1992 (msu) 2009 (msc) | yes | male | 2468 | mi - 2 mi - 3 medium |\n| larch corrections center (lcc) | yacolt | 1956 | no | male | 480 | mi - 2 |\n| mission creek corrections center for women (mcccw) | belfair | 2005 | no | female | 305 | mi - 2 |\n| monroe correctional complex (mcc) | monroe | 1910 | yes | male | 2400 | mi - 2 medium close maximum |\n| olympic corrections center (occ) | forks | 1968 | no | male | 378 | mi - 2 |\n| stafford creek corrections center (sccc) | aberdeen | 2000 | yes | male | 1936 | mi - 2 medium maximum |\n| washington corrections center (wcc) | shelton | 1964 | yes | male | 1268 | medium close maximum |\n| washington corrections center for women (wccw) | gig harbor | 1971 | yes | female | 738 | mi - 2 medium close |" + } + ] + }, + { + "id": "table_recognition_train_item_33745", + "image": "table_instructV/images/TABMWP_32229.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| | Front door of the house | Back door of the house |\n| --- | --- | --- |\n| Blue sticker | 5 | 2 |\n| Green sticker | 8 | 5 |" + } + ] + }, + { + "id": "table_recognition_train_item_115369", + "image": "table_instructV/images/Rotowire_train_table_2027.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Suns | Phoenix | 99 | 26 | 29 | 13 | 31 | 16 | 50 | 13 | 43 | 88 | 27 | 28 | 20 | | | | |\n| Bulls | Chicago | 93 | 23 | 19 | 25 | 26 | 20 | 49 | 11 | 41 | 63 | 22 | 30 | 19 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Suns | | | | | | | | | | | | | | | | | | |\n| Eric Bledsoe | 37 | 23 | 4 | 6 | 8-16 | 50% | 2-3 | 67% | 5-5 | 100% | 3 | 4 | 0 | 1 | 3 | 1 | G | Phoenix |\n| Goran Dragic | 36 | 21 | 2 | 4 | 9-18 | 50% | 1-4 | 25% | 2-2 | 100% | 1 | 1 | 2 | 1 | 1 | 3 | G | Phoenix |\n| Marcus Morris | 23 | 12 | 5 | 1 | 4-11 | 36% | 2-5 | 40% | 2-2 | 100% | 2 | 1 | 0 | 2 | 3 | 2 | N/A | Phoenix |\n| Markieff Morris | 32 | 12 | 14 | 3 | 5-16 | 31% | 0-2 | 0% | 2-2 | 100% | 0 | 2 | 1 | 2 | 12 | 4 | F | Phoenix |\n| Brandan Wright | 19 | 8 | 5 | 0 | 3-4 | 75% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 2 | 2 | 3 | 2 | N/A | Phoenix |\n| Alex Len | 21 | 7 | 8 | 0 | 3-4 | 75% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 0 | 1 | 7 | 5 | C | Phoenix |\n| PJ Tucker | 32 | 6 | 7 | 1 | 3-8 | 38% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 6 | 2 | F | Phoenix |\n| Isaiah Thomas | 24 | 6 | 3 | 1 | 2-9 | 22% | 1-5 | 20% | 1-2 | 50% | 1 | 1 | 0 | 1 | 2 | 1 | N/A | Phoenix |\n| Miles Plumlee | 17 | 4 | 2 | 0 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | Phoenix |\n| Gerald Green | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| TJ Warren | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Zoran Dragic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Tyler Ennis | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Derrick Rose | 36 | 23 | 5 | 3 | 8-23 | 35% | 0-6 | 0% | 7-9 | 78% | 0 | 3 | 0 | 2 | 3 | 2 | G | Chicago |\n| Jimmy Butler | 42 | 22 | 7 | 4 | 8-18 | 44% | 1-6 | 17% | 5-8 | 63% | 2 | 2 | 0 | 0 | 7 | 2 | G | Chicago |\n| Aaron Brooks | 32 | 21 | 2 | 2 | 8-13 | 62% | 3-5 | 60% | 2-2 | 100% | 2 | 0 | 0 | 0 | 2 | 4 | N/A | Chicago |\n| Pau Gasol | 36 | 10 | 19 | 3 | 5-14 | 36% | 0-0 | 0% | 0-5 | 0% | 0 | 1 | 1 | 6 | 13 | 2 | F | Chicago |\n| Joakim Noah | 33 | 9 | 10 | 5 | 3-8 | 38% | 0-0 | 0% | 3-3 | 100% | 1 | 1 | 2 | 4 | 6 | 3 | C | Chicago |\n| Taj Gibson | 22 | 4 | 1 | 2 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 1 | N/A | Chicago |\n| Tony Snell | 20 | 2 | 5 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 5 | 2 | F | Chicago |\n| Kirk Hinrich | 11 | 2 | 0 | 0 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Chicago |\n| E'Twaun Moore | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Chicago |\n| Nikola Mirotic | 8 | 0 | 0 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Chicago |\n| Doug McDermott | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Cameron Bairstow | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Nazr Mohammed | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |" + } + ] + }, + { + "id": "table_recognition_train_item_32544", + "image": "table_instructV/images/TABMWP_19101.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Destination | Elevation (ft.) |\n| --- | --- |\n| Underground lake | -350 |\n| Mountain peak | 325 |" + } + ] + }, + { + "id": "table_recognition_train_item_52318", + "image": "table_instructV/images/TabFact_2-16593799-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| season | home team | score | away team | venue |\n| --- | --- | --- | --- | --- |\n| 2008 | gamba osaka | 1 - 1 | chonburi | osaka expo '70 stadium , japan |\n| 2008 | chonburi | 3 - 1 | melbourne victory | suphachalasai stadium , thailand |\n| 2008 | chunnam dragons | 1 - 0 | chonburi | gwangyang football stadium , south korea |\n| 2008 | chonburi | 2 - 2 | chunnam dragons | suphachalasai stadium , thailand |\n| 2008 | chonburi | 0 - 2 | gamba osaka | suphachalasai stadium , thailand |\n| 2008 | melbourne victory | 3 - 1 | chonburi | telstra dome , australia |" + } + ] + }, + { + "id": "table_recognition_train_item_31641", + "image": "table_instructV/images/TABMWP_9596.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $465 | 18,800 | 7,300 |\n| $475 | 14,400 | 10,200 |\n| $485 | 10,000 | 13,100 |\n| $495 | 5,600 | 16,000 |\n| $505 | 1,200 | 18,900 |" + } + ] + }, + { + "id": "table_recognition_train_item_31937", + "image": "table_instructV/images/TABMWP_12645.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of laundry hampers | Number of sweatshirts |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_115837", + "image": "table_instructV/images/Rotowire_train_table_2261.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 76ers | Philadelphia | 102 | 28 | 21 | 28 | 25 | 23 | 38 | 16 | 41 | 69 | 43 | 9 | 68 | | | | |\n| Pacers | Indiana | 115 | 28 | 33 | 13 | 41 | 27 | 48 | 13 | 52 | 83 | 35 | 40 | 36 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Isaiah Canaan | 39 | 24 | 4 | 2 | 7-15 | 47% | 5-12 | 42% | 5-7 | 71% | 0 | 1 | 0 | 0 | 4 | 1 | G | Philadelphia |\n| Jerami Grant | 37 | 20 | 9 | 3 | 6-17 | 35% | 3-6 | 50% | 5-9 | 56% | 0 | 5 | 1 | 4 | 5 | 5 | F | Philadelphia |\n| Carl Landry | 23 | 19 | 6 | 2 | 7-10 | 70% | 2-2 | 100% | 3-4 | 75% | 0 | 3 | 0 | 0 | 6 | 0 | C | Philadelphia |\n| Ish Smith | 36 | 12 | 2 | 6 | 5-13 | 39% | 1-3 | 33% | 1-1 | 100% | 0 | 1 | 0 | 1 | 1 | 2 | G | Philadelphia |\n| Robert Covington | 32 | 9 | 5 | 1 | 3-10 | 30% | 3-10 | 30% | 0-0 | 0% | 2 | 1 | 0 | 1 | 4 | 5 | F | Philadelphia |\n| Nik Stauskas | 27 | 9 | 2 | 3 | 2-5 | 40% | 1-3 | 33% | 4-5 | 80% | 0 | 3 | 0 | 1 | 1 | 4 | N/A | Philadelphia |\n| TJ McConnell | 17 | 4 | 0 | 2 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 1 | N/A | Philadelphia |\n| Kendall Marshall | 6 | 3 | 0 | 0 | 1-4 | 25% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Philadelphia |\n| Elton Brand | 23 | 2 | 10 | 4 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 9 | 3 | N/A | Philadelphia |\n| Hollis Thompson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Christian Wood | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Richaun Holmes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Nerlens Noel | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| CJ Miles | 21 | 25 | 2 | 0 | 9-14 | 64% | 5-9 | 56% | 2-2 | 100% | 3 | 2 | 1 | 0 | 2 | 4 | N/A | Indiana |\n| Paul George | 34 | 20 | 8 | 7 | 5-15 | 33% | 2-5 | 40% | 8-9 | 89% | 1 | 3 | 0 | 1 | 7 | 2 | F | Indiana |\n| Rodney Stuckey | 22 | 17 | 1 | 5 | 6-7 | 86% | 1-2 | 50% | 4-5 | 80% | 1 | 0 | 0 | 0 | 1 | 4 | N/A | Indiana |\n| Monta Ellis | 26 | 12 | 2 | 6 | 5-10 | 50% | 0-1 | 0% | 2-2 | 100% | 1 | 1 | 0 | 0 | 2 | 3 | G | Indiana |\n| George Hill | 26 | 11 | 4 | 1 | 5-10 | 50% | 0-4 | 0% | 1-1 | 100% | 0 | 0 | 1 | 0 | 4 | 0 | G | Indiana |\n| Ian Mahinmi | 21 | 9 | 12 | 0 | 4-6 | 67% | 0-0 | 0% | 1-1 | 100% | 1 | 2 | 1 | 3 | 9 | 4 | C | Indiana |\n| Myles Turner | 27 | 8 | 10 | 2 | 4-7 | 57% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 1 | 1 | 9 | 2 | N/A | Indiana |\n| Solomon Hill | 29 | 6 | 6 | 1 | 3-5 | 60% | 0-1 | 0% | 0-1 | 0% | 1 | 1 | 0 | 1 | 5 | 3 | N/A | Indiana |\n| Ty Lawson | 22 | 5 | 2 | 5 | 2-6 | 33% | 0-1 | 0% | 1-2 | 50% | 1 | 1 | 0 | 0 | 2 | 2 | N/A | Indiana |\n| Lavoy Allen | 13 | 2 | 1 | 0 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | F | Indiana |\n| Glenn Robinson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Jordan Hill | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Joe Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |" + } + ] + }, + { + "id": "table_recognition_train_item_113651", + "image": "table_instructV/images/Rotowire_train_table_1168.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Suns | Phoenix | 97 | 35 | 27 | 17 | 18 | 23 | 40 | 18 | 45 | 75 | 23 | 38 | 36 | | | | |\n| Thunder | Oklahoma City | 109 | 24 | 30 | 22 | 33 | 16 | 48 | 15 | 47 | 73 | 39 | 42 | 32 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Suns | | | | | | | | | | | | | | | | | | |\n| Markieff Morris | 33 | 24 | 7 | 1 | 10-20 | 50% | 1-2 | 50% | 3-4 | 75% | 1 | 2 | 0 | 3 | 4 | 4 | F | Phoenix |\n| TJ Warren | 29 | 18 | 5 | 2 | 8-10 | 80% | 0-0 | 0% | 2-2 | 100% | 2 | 0 | 1 | 0 | 5 | 1 | N/A | Phoenix |\n| Marcus Morris | 37 | 15 | 9 | 5 | 5-13 | 39% | 2-7 | 29% | 3-4 | 75% | 0 | 1 | 1 | 0 | 9 | 1 | F | Phoenix |\n| Eric Bledsoe | 39 | 15 | 1 | 7 | 5-12 | 42% | 1-5 | 20% | 4-5 | 80% | 0 | 6 | 0 | 0 | 1 | 3 | G | Phoenix |\n| PJ Tucker | 35 | 12 | 2 | 4 | 4-9 | 44% | 1-2 | 50% | 3-3 | 100% | 3 | 2 | 0 | 0 | 2 | 3 | G | Phoenix |\n| Brandan Wright | 16 | 6 | 1 | 0 | 2-2 | 100% | 0-0 | 0% | 2-4 | 50% | 2 | 1 | 0 | 1 | 0 | 3 | N/A | Phoenix |\n| Brandon Knight | 22 | 3 | 2 | 4 | 1-10 | 10% | 0-6 | 0% | 1-2 | 50% | 1 | 2 | 0 | 0 | 2 | 1 | N/A | Phoenix |\n| Archie Goodwin | 3 | 2 | 2 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 1 | N/A | Phoenix |\n| Alex Len | 25 | 2 | 11 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 2 | 3 | 8 | 3 | C | Phoenix |\n| A.J. Price | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Earl Barron | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Reggie Bullock | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Gerald Green | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Russell Westbrook | 38 | 33 | 9 | 7 | 10-29 | 35% | 1-7 | 14% | 12-14 | 86% | 3 | 4 | 1 | 2 | 7 | 3 | G | Oklahoma City |\n| D.J. Augustin | 32 | 19 | 1 | 3 | 6-9 | 67% | 4-5 | 80% | 3-3 | 100% | 1 | 2 | 0 | 0 | 1 | 3 | N/A | Oklahoma City |\n| Dion Waiters | 38 | 18 | 3 | 1 | 8-20 | 40% | 1-6 | 17% | 1-2 | 50% | 0 | 3 | 0 | 1 | 2 | 4 | G | Oklahoma City |\n| Steven Adams | 42 | 13 | 16 | 0 | 6-9 | 67% | 0-0 | 0% | 1-4 | 25% | 1 | 2 | 1 | 5 | 11 | 4 | C | Oklahoma City |\n| Enes Kanter | 30 | 11 | 9 | 0 | 5-10 | 50% | 0-0 | 0% | 1-1 | 100% | 0 | 1 | 1 | 3 | 6 | 2 | F | Oklahoma City |\n| Anthony Morrow | 28 | 11 | 2 | 0 | 4-6 | 67% | 3-5 | 60% | 0-0 | 0% | 1 | 2 | 1 | 0 | 2 | 1 | N/A | Oklahoma City |\n| Kyle Singler | 26 | 4 | 5 | 5 | 1-3 | 33% | 1-3 | 33% | 1-2 | 50% | 3 | 1 | 0 | 0 | 5 | 2 | F | Oklahoma City |\n| Mitch McGary | 8 | 0 | 3 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 1 | N/A | Oklahoma City |\n| Jeremy Lamb | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Perry Jones III | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Andre Roberson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Steve Novak | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |" + } + ] + }, + { + "id": "table_recognition_train_item_68432", + "image": "table_instructV/images/TabFact_1-2562572-44.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| settlement | cyrillic name other names | type | population (2011) | largest ethnic group (2002) | dominant religion (2002) |\n| --- | --- | --- | --- | --- | --- |\n| alibunar | алибунар | town | 2883 | serbs | orthodox christianity |\n| banatski karlovac | банатски карловац | town | 5082 | serbs | orthodox christianity |\n| dobrica | добрица | village | 1076 | serbs | orthodox christianity |\n| ilandža | иланџа | village | 1422 | serbs | orthodox christianity |\n| janošik | јаношик (slovak : jánošík) | village | 966 | slovaks | protestantism |\n| lokve | локве (romanian : locve) | village | 1772 | romanians | orthodox christianity |\n| nikolinci | николинци (romanian : nicolinţ) | village | 1131 | romanians | orthodox christianity |\n| novi kozjak | нови козјак | village | 636 | serbs | orthodox christianity |\n| seleuš | селеуш (romanian : seleuş) | village | 1191 | romanians | orthodox christianity |" + } + ] + }, + { + "id": "table_recognition_train_item_56622", + "image": "table_instructV/images/TabFact_2-18936933-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| rank | player | county | tally | total | opposition |\n| --- | --- | --- | --- | --- | --- |\n| 1 | barney moylan | limerick | 4 - 4 | 16 | kildare |\n| 2 | mick bermingham | dublin | 3 - 4 | 13 | laois |\n| 2 | eddie keher | kilkenny | 2 - 7 | 13 | galway |\n| 2 | pat white | kildare | 1 - 10 | 13 | offaly |\n| 5 | eddie keher | kilkenny | 1 - 8 | 11 | dublin |\n| 5 | seã¡nie kinsella | wexford | 1 - 8 | 11 | offaly |\n| 5 | eddie keher | kilkenny | 1 - 8 | 11 | wexford |\n| 8 | ned buggy | wexford | 1 - 7 | 10 | kilkenny |\n| 9 | michael 'babs' keating | tipperary | 2 - 3 | 9 | limerick |\n| 9 | richie bennis | limerick | 1 - 6 | 9 | tipperary |\n| 9 | barney moylan | offaly | 0 - 9 | 9 | kildare |\n| 9 | barney moylan | offaly | 0 - 9 | 9 | wexford |\n| 9 | richie bennis | limerick | 0 - 9 | 9 | tipperary |" + } + ] + }, + { + "id": "table_recognition_train_item_101272", + "image": "table_instructV/images/ToTTo_train_table_5324.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Mauritania |\n| --- |\n| - |\n| This article is part of a series on the politics and government of Mauritania |\n| Constitution Human rights Slavery |\n| Government President Mohamed Ould Abdel Aziz Prime Minister Mohamed Salem Ould Béchir |\n| Parliament National Assembly President |\n| Administrative divisions Regions Departments Communes |\n| Elections Recent elections Presidential: 20092014 Senate: 2007 Parliamentary: 20132018 Political parties |\n| Foreign relations Ministry of Foreign Affairs Minister: Ismail Ould Cheikh Ahmed Diplomatic missions of / in Mauritania Passport Visa requirements Visa policy |\n| - |\n| vte |" + } + ] + }, + { + "id": "table_recognition_train_item_102428", + "image": "table_instructV/images/ToTTo_train_table_10132.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Year | Team | Car | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | DC | Points |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1981 | Australia Porsche Cars Australia | Porsche 924 Carrera GTR | DAY | SEB | MUG | MNZ | RIV | SIL | NUR | LMS DNS | PUR | DAY | WAT | SPA | MOS | RAM | BRA | NC | 0 |\n| 1984 | Australia Team Australia United Kingdom John Fitzpatrick Racing | Porsche 956B | MNZ | SIL 21 | LMS Ret | NUR | BRA | MOS | SPA | IMO | FJI | KYA | SAN | | | | | NC | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_117607", + "image": "table_instructV/images/Rotowire_train_table_3146.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nets | Brooklyn | 114 | 34 | 15 | 28 | 37 | 21 | 41 | 8 | 52 | 74 | 31 | 35 | 40 | | | | |\n| Raptors | Toronto | 109 | 27 | 27 | 25 | 30 | 24 | 40 | 14 | 51 | 74 | 31 | 45 | 31 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Nets | | | | | | | | | | | | | | | | | | |\n| Deron Williams | 38 | 31 | 1 | 11 | 11-18 | 61% | 5-7 | 71% | 4-4 | 100% | 0 | 3 | 0 | 0 | 1 | 3 | G | Brooklyn |\n| Brook Lopez | 44 | 30 | 17 | 2 | 13-24 | 54% | 0-0 | 0% | 4-4 | 100% | 1 | 1 | 1 | 10 | 7 | 2 | C | Brooklyn |\n| Thaddeus Young | 37 | 29 | 6 | 0 | 12-15 | 80% | 0-2 | 0% | 5-9 | 56% | 4 | 1 | 0 | 3 | 3 | 2 | F | Brooklyn |\n| Joe Johnson | 36 | 13 | 5 | 5 | 5-12 | 42% | 0-2 | 0% | 3-4 | 75% | 1 | 1 | 0 | 2 | 3 | 3 | F | Brooklyn |\n| Alan Anderson | 27 | 6 | 2 | 1 | 3-4 | 75% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 3 | N/A | Brooklyn |\n| Bojan Bogdanovic | 18 | 3 | 3 | 0 | 1-4 | 25% | 0-2 | 0% | 1-2 | 50% | 1 | 0 | 0 | 1 | 2 | 1 | N/A | Brooklyn |\n| Mason Plumlee | 4 | 2 | 2 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Brooklyn |\n| Jarrett Jack | 10 | 0 | 1 | 1 | 0-4 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Brooklyn |\n| Markel Brown | 20 | 0 | 3 | 1 | 0-3 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 2 | 2 | G | Brooklyn |\n| Earl Clark | 7 | 0 | 1 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 0 | N/A | Brooklyn |\n| Jerome Jordan | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |\n| Darius Morris | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |\n| Cory Jefferson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| DeMar DeRozan | 41 | 27 | 8 | 8 | 10-20 | 50% | 0-3 | 0% | 7-8 | 88% | 1 | 5 | 0 | 3 | 5 | 2 | G | Toronto |\n| Lou Williams | 33 | 23 | 2 | 3 | 8-14 | 57% | 5-8 | 63% | 2-4 | 50% | 1 | 1 | 0 | 0 | 2 | 1 | N/A | Toronto |\n| Jonas Valanciunas | 36 | 21 | 9 | 0 | 9-13 | 69% | 0-1 | 0% | 3-5 | 60% | 1 | 1 | 1 | 4 | 5 | 3 | C | Toronto |\n| Patrick Patterson | 30 | 12 | 9 | 6 | 3-6 | 50% | 2-4 | 50% | 4-5 | 80% | 1 | 2 | 0 | 2 | 7 | 2 | N/A | Toronto |\n| Amir Johnson | 16 | 11 | 3 | 0 | 5-6 | 83% | 0-1 | 0% | 1-1 | 100% | 0 | 1 | 0 | 2 | 1 | 2 | F | Toronto |\n| Greivis Vasquez | 33 | 7 | 4 | 4 | 3-10 | 30% | 1-5 | 20% | 0-0 | 0% | 0 | 1 | 0 | 0 | 4 | 2 | G | Toronto |\n| Terrence Ross | 21 | 4 | 0 | 2 | 2-6 | 33% | 0-3 | 0% | 0-0 | 0% | 0 | 3 | 0 | 0 | 0 | 4 | F | Toronto |\n| James Johnson | 19 | 2 | 2 | 1 | 1-4 | 25% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Toronto |\n| Tyler Hansbrough | 12 | 2 | 3 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 2 | 1 | 3 | N/A | Toronto |\n| Bruno Caboclo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Charles Hayes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Landry Fields | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Greg Stiemsma | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |" + } + ] + }, + { + "id": "table_recognition_train_item_54120", + "image": "table_instructV/images/TabFact_1-17327458-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| team | outgoing manager | manner of departure | date of vacancy | replaced by | date of appointment |\n| --- | --- | --- | --- | --- | --- |\n| albion rovers | john mccormack | resigned | 28 june | paul martin | 9 july |\n| heart of midlothian | stephen frail | sacked | 9 july | csaba lászló | 11 july |\n| dundee | alex rae | sacked | 20 october | jocky scott | 30 october |\n| montrose | jim weir | sacked | 19 october | steven tweed | 15 january |\n| berwick rangers | alan mcgonigal | resigned | 13 november | jimmy crease | 26 december |\n| livingston | roberto landi | sacked | 1 december | paul hegarty | 5 december |\n| brechin city | michael o'neill | resigned | 15 december | jim duffy | 9 january |\n| elgin city | robbie williamson | resigned | 20 december | ross jack | 23 january |\n| inverness ct | craig brewster | sacked | 19 january | terry butcher | 27 january |\n| stranraer | derek ferguson | resigned | 24 january | keith knox | 17 february |\n| east fife | dave baikie | resigned | 14 april | stevie crawford | 14 april |\n| livingston | paul hegarty | suspended | 25 april | john murphy | 30 june |\n| aberdeen | jimmy calderwood | mutual consent | 24 may | mark mcghee | 12 june |\n| celtic | gordon strachan | resigned | 25 may | tony mowbray | 16 june |\n| hibernian | mixu paatelainen | resigned | 29 may | john hughes | 8 june |\n| falkirk | john hughes | resigned | 8 june | eddie may | 23 june |" + } + ] + }, + { + "id": "table_recognition_train_item_33216", + "image": "table_instructV/images/TABMWP_27029.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| | Bacon | Cinnamon |\n| --- | --- | --- |\n| Under 13 years old | 2 | 4 |\n| A teenager | 3 | 5 |" + } + ] + }, + { + "id": "table_recognition_train_item_52084", + "image": "table_instructV/images/TabFact_2-12206178-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| date | opponent | score | loss | attendance | record |\n| --- | --- | --- | --- | --- | --- |\n| may 1 | white sox | 5 - 3 | wells (2 - 3) | 14448 | 13 - 14 |\n| may 2 | white sox | 4 - 1 | wunsch (0 - 1) | 10397 | 14 - 14 |\n| may 3 | white sox | 7 - 3 | escobar (2 - 4) | 12026 | 14 - 15 |\n| may 4 | indians | 8 - 1 | finley (3 - 1) | 16637 | 15 - 15 |\n| may 5 | indians | 11 - 10 | shuey (1 - 1) | 19191 | 16 - 15 |\n| may 6 | indians | 8 - 6 | quantrill (0 - 1) | 23730 | 16 - 16 |\n| may 7 | indians | 10 - 8 (12) | gunderson (0 - 1) | 19161 | 16 - 17 |\n| may 8 | orioles | 6 - 5 | johnson (0 - 2) | 15103 | 17 - 17 |\n| may 9 | orioles | 6 - 4 | mussina (1 - 4) | 15177 | 18 - 17 |\n| may 10 | orioles | 7 - 2 | erickson (0 - 1) | 15598 | 19 - 17 |\n| may 12 | devil rays | 4 - 3 | carpenter (3 - 4) | 17532 | 19 - 18 |\n| may 13 | devil rays | 8 - 4 | lidle (0 - 1) | 20054 | 20 - 18 |\n| may 14 | devil rays | 3 - 2 | lopez (2 - 3) | 15788 | 21 - 18 |\n| may 15 | red sox | 8 - 1 | castillo (1 - 3) | 16124 | 21 - 19 |\n| may 16 | red sox | 7 - 6 | lowe (2 - 1) | 17663 | 22 - 19 |\n| may 17 | red sox | 8 - 0 | carpenter (3 - 5) | 20078 | 22 - 20 |\n| may 19 | white sox | 5 - 3 | escobar (4 - 5) | 18268 | 22 - 21 |\n| may 20 | white sox | 6 - 2 | wells (7 - 2) | 20091 | 22 - 22 |\n| may 21 | white sox | 2 - 1 | castillo (1 - 4) | 18264 | 22 - 23 |\n| may 22 | white sox | 4 - 3 | howry (0 - 1) | 19167 | 23 - 23 |\n| may 23 | red sox | 3 - 2 | martã­nez (7 - 2) | 33402 | 24 - 23 |\n| may 24 | red sox | 6 - 3 (11) | frascatore (0 - 1) | 31250 | 24 - 24 |\n| may 25 | red sox | 11 - 6 | schourek (2 - 4) | 32716 | 25 - 24 |\n| may 26 | tigers | 8 - 2 | brocail (1 - 3) | 33068 | 26 - 24 |\n| may 27 | tigers | 4 - 3 | quantrill (0 - 2) | 29584 | 26 - 25 |\n| may 28 | tigers | 12 - 7 | blair (2 - 1) | 29105 | 27 - 25 |\n| may 30 | twins | 4 - 1 | escobar (4 - 6) | 16371 | 27 - 26 |\n| may 31 | twins | 4 - 2 | radke (3 - 6) | 17305 | 28 - 26 |" + } + ] + }, + { + "id": "table_recognition_train_item_101033", + "image": "table_instructV/images/ToTTo_train_table_4381.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Channel | Format | Programming |\n| --- | --- | --- |\n| 38.1 | 480i | RitmoVision |\n| 38.2 | 480i | Alpha - Musica de Fe |\n| 38.3 | 480i | IZ Videos |\n| 38.4 | 480i | Evine |\n| 38.5 | 480i | The Action Channel |\n| 38.6 | 480i | RetroTV |\n| 38.7 | 480i | Rev'n |" + } + ] + }, + { + "id": "table_recognition_train_item_56320", + "image": "table_instructV/images/TabFact_1-26757-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| proto - slavic | russian | ukrainian | belarusian | polish | czech | slovak | slovene | serbo - croatian | bulgarian | macedonian |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| uxo (ear) | ухо (úkho) | вухо (vúkho) | вуха (vúkha) | ucho | ucho | ucho | uho | уво / uvo , uho | ухо (ukhó) | уво (úvo) |\n| ognь (fire) | огонь (ogónʹ) | вогонь (vohónʹ) | агонь (ahónʹ) | ogień | oheň | oheň | ogenj | огањ / oganj | огън (ógǎn) | оган / огин (ógan / ógin) |\n| ryba (fish) | рыба (rýba) | риба (rýba) | рыба (rýba) | ryba | ryba | ryba | riba | риба / riba | риба (ríba) | риба (ríba) |\n| gnězdo (nest) | гнездо (gnezdó) | гнiздо (hnizdó) | гняздо (hnyazdó) | gniazdo | hnízdo | hniezdo | gnezdo | гн (иј) ездо / gn (ij) ezdo | гнездо (gnezdó) | гнездо (gnézdo) |\n| oko (eye) | око (óko) (dated , poetic) | око (óko) | вока (vóka) | oko | oko | oko | oko | око / oko | око (óko) | око (óko) |\n| golva (head) | голова (golová) | голова (holová) | галава (halavá) | głowa | hlava | hlava | glava | глава / glava | глава (glavá) | глава (gláva) |\n| rǫka (hand) | рука (ruká) | рука (ruká) | рука (ruká) | ręka | ruka | ruka | roka | рука / ruka | ръка (rǎká) | рака (ráka) |" + } + ] + }, + { + "id": "table_recognition_train_item_106329", + "image": "table_instructV/images/ToTTo_train_table_26607.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Year | Owner/Funder | Vehicle | Name | Winner (Builder/Designer) |\n| --- | --- | --- | --- | --- |\n| 1964 | Al Bergler | AA Comp[clarification needed] Bantam coupe | Aggravation | |\n| 1965 | Bob Massaron | 1956 Chevrolet Custom | Venturian | Alexander Brothers |\n| 1966 | Maynard Rupp | 1966 Chevy Malibu SS 396 Funny Car | Chevoom | |\n| 1967 | Mike Alexander | 1966 Dodge Pickup | Deora | |\n| 1968 | Chuck Miller | Hand-built fire truck | \"Fire Truck\" | |\n| 1969 | Larry Alexander | Ford T roadster | Top Banana | |\n| 1970 | Jan Bergel | 1966 Dodge Hemi Charger | Electro Charger | |\n| 1971 | John Greer | \"C\" Cab truck | Brinks Express | |\n| 1972 | Jerry Pennington | Rear-engined Corvette | Scorpion | |\n| 1973 | Jerry Pennington | Hand-built street rod | Devilfish | |\n| 1974 | Don Campbell | 1927 Ford T sedan | Tartan T | |\n| 1975 | Bob Gutzke | 1927 Model T Altered rod coupe | | |\n| 1976 | Robert Sweatt | 1923 Ford AA/FA roadster | El Toro | |\n| 1977 | Frank Camden | 1926 Ford T sedan | Frigid T | |\n| 1978 | Bob Anzalone | 1923 Ford T roadster | Black Diamond | |\n| 1979 | Frank Morabito | 1923 Ford T touring | Garagefather | |\n| 1980 | Everett Rezendes | 1928 Ford sedan delivery | The Cranberry Delivery | |\n| 1981 | Bob Tiano | 1934 Ford 3-window coupe | | |\n| 1982 | John Pappert | 1934 Ford Model Y | | |\n| 1983 | Ron Barnum | 1929 Ford 3-door sedan delivery[clarification needed] | Renaissance Delivery | |\n| 1984 | Bob Reed | 1934 Ford Altered street coupe | The Khrome Shoppe Special | |\n| 1985 | Bobby Alloway | 1933 Ford Victoria Altered street sedan | | |\n| 1986 | Dale Hunt | 1986 Pontiac Grand Am Pro Stock | special thanks to Dewayne White for his hard work to complete this car | |\n| 1987 | John Kolbusz | 1934 Ford Altered street roadster | | |\n| 1988 | Mal Kieswetter | 1932 Ford 3-window coupe | The Gambler | |\n| 1989 | Mike Baliestiero | 1934 Ford cabriolet Altered street roadster | | |\n| 1990 | Dan Webb | 1932 Ford Altered street roadster | | |\n| 1991 | Tony Carlini | 1933 Ford Altered street roadster | | |\n| 1992 | Jimmy Stewart | 1932 Ford sedan | | |\n| 1993 | Dave Stitzer | 1940 Ford coupe | | Don Pilkenton |\n| 1994 | Fred Warren | 1937 Ford coupe | Aero Coupe | |\n| 1995 | Bob Rizzoli | 1992 Mercedes 560 SEC | | |\n| 1996 | George Poteet | 1937 Ford roadster | | Don Pilkenton |\n| 1997 | Dave Emery | 1932 Ford roadster | | |\n| 1998 | Eric Peratt & Ken Reister | 1933 Ford roadster | 21st Century Comet | |\n| 1999 | Bob Young | 1932 Ford 3-window coupe | | Don Pilkenton |\n| 2000 | Paul Atkins | 1933 Ford speedster coupe (phantom) | | |\n| 2001 | Chris Williams | 1949 Chevy Coupe | M-80 | |\n| 2002 | Wesley & Bob Rydell | 1935 Chevy | Grand Master | Chip Foose |\n| 2003 | Ron Whiteside | 1934 Ford | The Stallion | Chip Foose |\n| 2004 | Al Brockly | 1937 Willys coupe | | |\n| 2005 | Ken Reister | 1936 Ford hardtop convertible | Impression | Chip Foose |\n| 2006 | Kevin & Karen Alstott | 1935 Ford | | |\n| 2007 | Ross Myers | 1936 Ford | First Love | |\n| 2008 | Mike Warn | 1960 Nash Rambler | Ferrambo | |\n| 2009 | Doug Cooper | 1932 Ford B400 | Deucenberg | |\n| 2010 | Tammy Ray | 1933 Ford Phaeton | Gold Digger | |\n| 2011 | Bruce Ricks | 1956 Ford Sunliner convertible | Suncammer | Steve Cook |\n| 2012 | Dwayne Peace, Tyler, Texas | 1955 Ford Thunderbird | | |\n| 2013 | Ron & Deb Cizek, Bennington, NE | 1940 Ford Coupe | Checkered Past | |\n| 2014 | J.F. Launier, Osoyoos, BC | 1964 Buick Riviera | Rivision | |\n| 2015 | Don & Elma Voth | 1965 Chevrolet Impala | The Imposter | Chip Foose |\n| 2016 | Billy & Debbie Thomas | 1939 Oldsmobile convertible | Olds Cool | |\n| 2017 | Buddy Jordan | 1933 Ford Roadster | Renaissance Roadster | |\n| 2018 | Greg & Judy Hrehovczik | 1957 Chevy Impala | Imagine | |" + } + ] + }, + { + "id": "table_recognition_train_item_67946", + "image": "table_instructV/images/TabFact_2-18569185-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| group | name | nationality | 4.00 | result |\n| --- | --- | --- | --- | --- |\n| a | yelena isinbayeva | russia | - | 4.60 |\n| b | vanessa boslak | france | - | 4.50 |\n| a | gao shuying | china | - | 4.50 |\n| b | fabiana murer | brazil | - | 4.50 |\n| b | jennifer stuczynski | united states | - | 4.50 |\n| a | svetlana feofanova | russia | - | 4.50 |\n| a | april steiner bennett | united states | - | 4.50 |\n| a | monika pyrek | poland | - | 4.50 |\n| b | anna rogowska | poland | - | 4.50 |\n| b | yuliya golubchikova | russia | - | 4.50 |\n| a | carolin hingst | germany | - | 4.50 |\n| b | silke spiegelburg | germany | - | 4.50 |\n| a | naroa agirre | spain | o | 4.40 |\n| a | anastasija reiberger | germany | - | 4.40 |\n| b | kate dennison | great britain | xo | 4.40 |\n| b | alana boyd | australia | - | 4.30 |\n| b | roslinda samsu | malaysia | o | 4.30 |\n| b | kelsie hendry | canada | - | 4.30 |\n| a | joanna piwowarska | poland | xo | 4.30 |\n| a | afrodíti skafída | greece | - | 4.30 |\n| a | sandra - helena tavares | portugal | o | 4.30 |\n| b | nicole büchler | switzerland | xxo | 4.30 |\n| a | marion buisson | france | o | 4.15 |\n| b | thórey edda elisdóttir | iceland | - | 4.15 |\n| b | zhou yang | china | xo | 4.15 |\n| b | krisztina molnár | hungary | xxo | 4.15 |\n| a | natalya kushch | ukraine | - | 4.15 |\n| b | nikoléta kiriakopoúlou | greece | - | 4.15 |\n| a | li ling | china | - | 4.15 |\n| a | yarisley silva | cuba | - | 4.15 |\n| a | alejandra garcía | argentina | xxo | 4.15 |\n| a | leila ben youssef | tunisia | xo | 4.00 |\n| a | vanessa vandy | finland | xo | 4.00 |\n| b | anna fitídou | cyprus | xxo | 4.00 |\n| b | kateřina baďurová | czech republic | xxx | nm |\n| b | erica bartolina | united states | - | nm |" + } + ] + }, + { + "id": "table_recognition_train_item_31961", + "image": "table_instructV/images/TABMWP_12910.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 18 | 15 |\n| 19 | 11 |\n| 20 | 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_51436", + "image": "table_instructV/images/TAT-QA_99584727-6bf0-43f4-bb15-336baa5160ba.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| | | Years Ended December, 31 | |\n| --- | --- | --- | --- |\n| | 2019 | 2018 | 2017 |\n| | | (Dollars in millions, except per share amounts, shares in thousands) | |\n| Loss income (Numerator): | | | |\n| Net (loss) income | $(5,269) | (1,733) | 1,389 |\n| Net (loss) income applicable to common stock for computing basic earnings per common share | (5,269) | (1,733) | 1,389 |\n| Net (loss) income as adjusted for purposes of computing diluted earnings per common share | $(5,269) | (1,733) | 1,389 |\n| Shares (Denominator): | | | |\n| Weighted average number of shares: | | | |\n| Outstanding during period | 1,088,730 | 1,078,409 | 635,576 |\n| Non-vested restricted stock | (17,289) | (12,543) | (7,768) |\n| Weighted average shares outstanding for computing basic earnings per common share | 1,071,441 | 1,065,866 | 627,808 |\n| Incremental common shares attributable to dilutive securities: | | | |\n| Shares issuable under convertible securities | — | — | 10 |\n| Shares issuable under incentive compensation plans | — | — | 875 |\n| Number of shares as adjusted for purposes of computing diluted (loss) earnings per common share | 1,071,441 | 1,065,866 | 628,693 |\n| Basic (loss) earnings per common share | $(4.92) | (1.63) | 2.21 |\n| Diluted (loss) earnings per common share(1) | $(4.92) | (1.63) | 2.21 |" + } + ] + }, + { + "id": "table_recognition_train_item_64630", + "image": "table_instructV/images/TabFact_2-15271980-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| outcome | tournament | surface | opponent | score |\n| --- | --- | --- | --- | --- |\n| runner - up | australia f4 , bairnsdale , australia | clay | konstantinos economidis | 3 - 6 , 2 - 6 |\n| winner | usa f21 , wi , usa | hard | kevin anderson | 6 - 3 , 6 - 7 (2) , 6 - 1 |\n| runner - up | australia f7 , australia | hard | rob steckley | 5 - 7 , 3 - 6 |\n| winner | australia f9 , australia | hard | miles armstrong | 6 - 3 , 6 - 3 |\n| winner | great britain f13 , great britain | grass | daniel king - turner | 6 - 4 , 6 - 4 |\n| runner - up | great britain f14 , great britain | hard | robert smeets | 4 - 6 , 6 - 4 , 4 - 6 |\n| runner - up | australia f3 , australia | hard | colin ebelthite | 4 - 6 , 2 - 6 |\n| runner - up | australia f12 , australia | hard | marinko matosevic | 3 - 6 , 6 - 7 (4) |\n| runner - up | new zealand f1 , new zealand | hard | rameez junaid | 3 - 6 , 3 - 6 |\n| runner - up | australia f7 , australia | hard | alex bolt | 7 - 5 , 3 - 6 , 1 - 6 |\n| runner - up | australia f8 , australia | hard | matt reid | 3 - 6 , 6 - 3 , 3 - 6 |\n| winner | australia f9 , australia | hard | alex bolt | 3 - 6 , 7 - 6 (2) , 6 - 2 |\n| runner - up | australia f10 , australia | hard | michael venus | 3 - 6 , 6 - 3 , 3 - 6 |\n| winner | thailand f3 , thailand | hard | pruchya isarow | 6 - 4 , 6 - 1 |\n| winner | australia f6 , australia | hard | andrew whittington | 7 - 6 (6) , 6 - 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_53184", + "image": "table_instructV/images/TabFact_2-13225042-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| 18 september 2007 - 19:45 | preston north end | home | won 2 - 1 | 5754 |\n| --- | --- | --- | --- | --- |\n| 22 september 2007 - 15:00 | west bromwich albion | home | lost 3 - 2 | 8307 |\n| 29 september 2007 - 15:00 | colchester united | away | won 1 - 0 | 5218 |\n| 2 october 2007 - 19:45 | norwich city | away | drew 0 - 0 | 23176 |\n| 6 october 2007 - 15:00 | watford | home | lost 3 - 1 | 7515 |\n| 20 october 2007 - 17:15 | leicester city | home | drew 0 - 0 | 6006 |\n| 23 october 2007 - 19:45 | sheffield wednesday | away | won 2 - 1 | 21557 |\n| 27 october 2007 - 15:00 | cardiff city | away | drew 1 - 1 | 11850 |\n| 3 november 2007 - 15:00 | crystal palace | home | drew 0 - 0 | 6778 |\n| 6 november 2007 - 19:45 | stoke city | home | lost 3 - 2 | 5531 |\n| 10 november 2007 - 15:00 | blackpool | away | lost 1 - 0 | 8051 |\n| 24 november 2007 - 15:00 | hull | home | lost 2 - 1 | 8633 |\n| 27 november 2007 - 15:00 | coventry | away | drew 1 - 1 | 14036 |\n| 1 december 2007 - 15:00 | plymouth argyle | away | lost 3 - 0 | 10520 |\n| 3 december 2007 - 20:00 | blackpool | home | drew 1 - 1 | 4407 |\n| 8 december 2007 - 15:00 | queens park rangers | home | drew 2 - 2 | 5612 |\n| 15 december 2007 - 15:00 | ipswich town | away | lost 3 - 2 | 19306 |\n| 22 december 2007 - 15:00 | norwich | home | lost 0 - 1 | 6648 |\n| 26 december 2007 - 15:00 | preston | away | won 0 - 1 | 12920 |\n| 1 january 2008 - 15:00 | barnsley | home | drew 2 - 2 | 6792 |" + } + ] + }, + { + "id": "table_recognition_train_item_48842", + "image": "table_instructV/images/TAT-QA_d8659ef0-577b-41f0-9133-7f44aedf6f13.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Category | Number of equity shares held | Percentage of holding |\n| --- | --- | --- |\n| Promoters | 2,702,450,947 | 72.0 |\n| Other Entities of the Promoter Group | 1,091,053 | - |\n| Mutual Funds & UTI | 93,357,668 | 2.5 |\n| Banks, Financial Institutions, States and Central Government | 2,750,113 | 0.1 |\n| Insurance Companies | 196,172,807 | 5.2 |\n| Foreign Institutional Investors and Foreign Portfolio Investors - Corporate | 592,842,601 | 15.8 |\n| NRI's / OCB's / Foreign Nationals | 4,854,682 | 0.1 |\n| Corporate Bodies / Trust | 26,208,151 | 0.7 |\n| Indian Public & Others | 130,744,399 | 3.6 |\n| Alternate Investment Fund | 1,663,495 | - |\n| IEPF account | 248,790 | - |\n| GRAND TOTAL | 3,752,384,706 | 100.0 |\n| | | |\n| Name of the shareholder* | Number of equity shares held | Percentage of holding |\n| 1. Tata Sons Private Limited | 2,702,450,947 | 72.0 |\n| 2. Life Insurance Corporation of India | 152,493,927 | 4.1 |\n| 3. SBI Mutual Fund | 21,680,561 | 0.6 |\n| 4. First State Investments Icvc- Stewart Investors Asia Pacific Leaders Fund | 19,248,438 | 0.5 |\n| 5. Government of Singapore | 18,028,475 | 0.5 |\n| 6. Oppenheimer Developing Markets Fund | 16,731,906 | 0.5 |\n| 7. ICICI Prudential Life Insurance Company Ltd | 16,139,316 | 0.4 |\n| 8. Axis Mutual Fund Trustee Limited | 15,244,614 | 0.4 |\n| 9. Abu Dhabi Investment Authority | 15,036,984 | 0.4 |\n| 10. Vanguard Emerging Markets Stock Index Fund, A Series of Vanguard International Equity Index Funds | 14,112,213 | 0.4 |" + } + ] + }, + { + "id": "table_recognition_train_item_65666", + "image": "table_instructV/images/TabFact_2-12406070-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| year | fighter | nation represented | sport | sanctioning body or league | weight class represented or contested |\n| --- | --- | --- | --- | --- | --- |\n| 2007 | floyd mayweather jr | united states | boxing | not applicable | welterweight |\n| 2008 | floyd mayweather jr | united states | boxing | not applicable | welterweight junior middleweight |\n| 2009 | manny pacquiao | philippines | boxing | not applicable | super featherweight lightweight welterweight |\n| 2010 | floyd mayweather jr | united states | boxing | not applicable | welterweight |\n| 2011 | manny pacquiao | philippines | boxing | not applicable | welterweight |\n| 2012 | floyd mayweather jr | united states | boxing | not applicable | welterweight |" + } + ] + }, + { + "id": "table_recognition_train_item_56194", + "image": "table_instructV/images/TabFact_1-2562572-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| urban settlement | cyrillic name | city / municipality | district | population (1991) | population (2002) | population (2011) |\n| --- | --- | --- | --- | --- | --- | --- |\n| inđija | инђија | inđija | srem | 23061 | 26247 | 26025 |\n| irig | ириг | irig | srem | 4414 | 4848 | 4415 |\n| mačvanska mitrovica | мачванска митровица | sremska mitrovica | srem | 3788 | 3896 | 3873 |\n| ruma | рума | ruma | srem | 28582 | 32229 | 30076 |\n| sremska mitrovica | сремска митровица | sremska mitrovica | srem | 38834 | 39084 | 37751 |\n| stara pazova | стара пазова | stara pazova | srem | 17110 | 18645 | 18602 |" + } + ] + }, + { + "id": "table_recognition_train_item_55866", + "image": "table_instructV/images/TabFact_2-11437346-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| draw | artist | song | points | place |\n| --- | --- | --- | --- | --- |\n| 1 | hãvard , dag arnold and ingvild gryting | i'll be your friend | 14 | 6 |\n| 2 | mette hartmann | the night before the morning after | 17 | 5 |\n| 3 | dag brandth | untold | 7 | 8 |\n| 4 | stephen ackles | lost again | 19 | 4 |\n| 5 | midnight sons | stay | 35 | 2 |\n| 6 | tor endresen | lover | 28 | 3 |\n| 7 | toril moe | you used to be mine | 14 | 6 |\n| 8 | stig van eijk | living my life without you | 62 | 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_48452", + "image": "table_instructV/images/TAT-QA_61f41f41-aea6-44ef-96cc-0fc960d24513.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | December 31, | |\n| --- | --- | --- |\n| (In millions) | 2019 | 2018 |\n| Used lines of credit (1) | $ 98.9 | $ 232.8 |\n| Unused lines of credit | 1,245.2 | 1,135.3 |\n| Total available lines of credit(2) | $ 1,344.1 | $ 1,368.1 |" + } + ] + }, + { + "id": "table_recognition_train_item_35226", + "image": "table_instructV/images/TABMWP_27151.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| | Regular cleaning | Broken tooth |\n| --- | --- | --- |\n| Patients under 18 years old | 3 | 3 |\n| Patients 19-60 years old | 1 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_107778", + "image": "table_instructV/images/ToTTo_train_table_32628.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Statistic | Texas Giant | New Texas Giant |\n| --- | --- | --- |\n| Years | 1990–2009 | 2011–present |\n| Manufacturer | Dinn Corporation | Rocky Mountain Construction |\n| Designer | Curtis D. Summers | Alan Schilke |\n| Track | Wood | Steel |\n| Height | 143 ft or 44 m | 153 ft or 47 m |\n| Drop | 137 ft or 42 m | 147 ft or 45 m |\n| Length | 4,920 ft or 1,500 m | 4,200 ft or 1,300 m |\n| Speed | 62 mph or 100 km/h | 65 mph or 105 km/h |\n| Max vertical angle | 53° | 79° |\n| Trains | Philadelphia Toboggan Coasters (PTC) | Gerstlauer |" + } + ] + }, + { + "id": "table_recognition_train_item_58076", + "image": "table_instructV/images/TabFact_2-10882501-12.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| athlete | sport | asian games | gold | silver | bronze | total |\n| --- | --- | --- | --- | --- | --- | --- |\n| mohammad nassiri | weightlifting | 1966 - 1974 | 4 | 1 | 0 | 5 |\n| moslem eskandar - filabi | wrestling | 1966 - 1974 | 4 | 0 | 0 | 4 |\n| reza soukhteh - saraei | wrestling | 1974 - 1990 | 3 | 1 | 0 | 4 |\n| houshang kargarnejad | weightlifting | 1970 - 1974 | 3 | 0 | 1 | 4 |\n| alireza heidari | wrestling | 1998 - 2006 | 3 | 0 | 0 | 3 |\n| jalal keshmiri | athletics | 1966 - 1974 | 2 | 3 | 1 | 6 |\n| hassan arianfard | cycling | 1970 - 1974 | 2 | 1 | 0 | 3 |\n| jasem vishgahi | karate | 2002 - 2010 | 2 | 1 | 0 | 3 |\n| akbar shokrollahi | weightlifting | 1974 | 2 | 1 | 0 | 3 |\n| ali vali | weightlifting | 1974 | 2 | 1 | 0 | 3 |\n| teymour ghiasi | athletics | 1966 - 1974 | 2 | 0 | 1 | 3 |\n| hossein rezazadeh | weightlifting | 1998 - 2006 | 2 | 0 | 1 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_55738", + "image": "table_instructV/images/TabFact_2-18595004-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| week | partner | dance | song | result |\n| --- | --- | --- | --- | --- |\n| 1 | mark kanemura | contemporary | beautiful - meshell ndegeocello | safe |\n| 2 | mark kanemura | argentine tango | mi confesión - gotan project | safe |\n| 3 | mark kanemura | lyrical hip - hop | bleeding love - leona lewis | safe |\n| 4 | mark kanemura | jazz | kiss kiss - holly valance | safe |\n| 4 | mark kanemura | foxtrot | it 's my life - paul anka | safe |\n| 5 | mark kanemura | salsa | fuego - joe bataan | safe |\n| 5 | mark kanemura | broadway | i'm a woman from smokey joe 's cafe | safe |\n| 6 | gev manoukian | contemporary | these arms of mine - otis redding | safe |\n| 6 | gev manoukian | jive | the house is rockin' - brian setzer orchestra | safe |\n| 6 | solo | solo | pon de replay - rihanna | safe |\n| 7 | joshua allen | argentine tango | a los amigos from forever tango | safe |\n| 7 | joshua allen | disco | everlasting love - gloria estefan | safe |\n| 7 | solo | solo | damaged - danity kane | safe |\n| 8 | stephen twitch boss | mambo | ahora me toca a mi - víctor manuelle | eliminated |\n| 8 | stephen twitch boss | hip - hop | control - vitamin string quartet | eliminated |\n| 8 | solo | solo | when i grow up - the pussycat dolls | eliminated |\n| 8 | results show solo | results show solo | the girl 's gone wild - travis tritt | eliminated |" + } + ] + }, + { + "id": "table_recognition_train_item_56976", + "image": "table_instructV/images/TabFact_2-17311797-12.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | series |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | may 4 | celtics | w 95 - 90 (ot) | rashard lewis (18) | dwight howard (22) | rafer alston (7) | td banknorth garden 18624 | 1 - 0 |\n| 2 | may 6 | celtics | l 94 - 112 (ot) | rashard lewis , mickaël piétrus (17) | dwight howard (12) | anthony johnson (7) | td banknorth garden 18624 | 1 - 1 |\n| 3 | may 8 | celtics | w 117 - 96 (ot) | rashard lewis (28) | dwight howard (14) | hedo türkoğlu (4) | amway arena 17461 | 2 - 1 |\n| 4 | may 10 | celtics | l 94 - 95 (ot) | dwight howard (23) | dwight howard (17) | jj redick (7) | amway arena 17461 | 2 - 2 |\n| 5 | may 12 | celtics | l 88 - 92 (ot) | rashard lewis (19) | dwight howard (17) | hedo türkoğlu (7) | td banknorth garden 18624 | 2 - 3 |\n| 6 | may 14 | celtics | w 83 - 75 (ot) | dwight howard (23) | dwight howard (22) | rafer alston , rashard lewis , hedo türkoğlu (3) | amway arena 17461 | 3 - 3 |\n| 7 | may 17 | celtics | w 101 - 82 (ot) | hedo türkoğlu (25) | dwight howard (16) | hedo türkoğlu (12) | td banknorth garden 18624 | 4 - 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_113345", + "image": "table_instructV/images/Rotowire_train_table_1015.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Heat | Miami | 105 | 28 | 18 | 31 | 28 | 20 | 45 | 13 | 44 | 59 | 43 | 15 | 30 | | | | |\n| Warriors | Golden State | 102 | 30 | 18 | 25 | 29 | 27 | 43 | 14 | 47 | 60 | 27 | 38 | 7 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Dion Waiters | 33 | 33 | 5 | 4 | 13-20 | 65% | 6-8 | 75% | 1-1 | 100% | 1 | 3 | 0 | 1 | 4 | 1 | G | Miami |\n| Goran Dragic | 36 | 19 | 4 | 5 | 5-14 | 36% | 1-5 | 20% | 8-13 | 62% | 1 | 4 | 0 | 2 | 2 | 1 | G | Miami |\n| Luke Babbitt | 26 | 11 | 6 | 1 | 3-6 | 50% | 3-4 | 75% | 2-2 | 100% | 1 | 0 | 0 | 1 | 5 | 3 | F | Miami |\n| Hassan Whiteside | 36 | 10 | 15 | 0 | 4-13 | 31% | 0-0 | 0% | 2-5 | 40% | 2 | 3 | 1 | 4 | 11 | 5 | C | Miami |\n| Wayne Ellington | 33 | 9 | 2 | 3 | 3-12 | 25% | 2-8 | 25% | 1-1 | 100% | 4 | 1 | 0 | 0 | 2 | 2 | N/A | Miami |\n| James Johnson | 27 | 9 | 2 | 4 | 4-8 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 2 | 1 | 1 | 4 | N/A | Miami |\n| Willie Reed | 11 | 6 | 7 | 1 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 6 | 2 | N/A | Miami |\n| Okaro White | 11 | 5 | 1 | 0 | 2-3 | 67% | 0-1 | 0% | 1-1 | 100% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | Miami |\n| Rodney McGruder | 28 | 3 | 3 | 2 | 1-5 | 20% | 0-2 | 0% | 1-4 | 25% | 0 | 1 | 0 | 0 | 3 | 1 | F | Miami |\n| Josh Richardson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Derrick Williams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Udonis Haslem | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Tyler Johnson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Kevin Durant | 36 | 27 | 6 | 3 | 12-23 | 52% | 1-8 | 13% | 2-2 | 100% | 1 | 2 | 0 | 0 | 6 | 2 | F | Golden State |\n| Klay Thompson | 37 | 22 | 5 | 1 | 8-18 | 44% | 3-8 | 38% | 3-4 | 75% | 2 | 2 | 1 | 0 | 5 | 4 | G | Golden State |\n| Stephen Curry | 37 | 21 | 9 | 8 | 7-19 | 37% | 3-9 | 33% | 4-5 | 80% | 0 | 4 | 1 | 0 | 9 | 2 | G | Golden State |\n| JaVale McGee | 14 | 10 | 5 | 1 | 5-6 | 83% | 0-0 | 0% | 0-1 | 0% | 1 | 0 | 0 | 1 | 4 | 2 | N/A | Golden State |\n| Draymond Green | 39 | 7 | 3 | 7 | 3-8 | 38% | 0-3 | 0% | 1-4 | 25% | 1 | 2 | 1 | 1 | 2 | 3 | F | Golden State |\n| Zaza Pachulia | 27 | 6 | 10 | 2 | 2-6 | 33% | 0-0 | 0% | 2-4 | 50% | 2 | 1 | 0 | 4 | 6 | 3 | C | Golden State |\n| Shaun Livingston | 21 | 4 | 5 | 5 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 3 | 1 | 1 | 4 | 4 | N/A | Golden State |\n| Patrick McCaw | 18 | 3 | 0 | 0 | 1-2 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Golden State |\n| Ian Clark | 12 | 2 | 0 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Golden State |\n| Damian Jones | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| James Michael McAdoo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Kevon Looney | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Anderson Varejao | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |" + } + ] + }, + { + "id": "table_recognition_train_item_32304", + "image": "table_instructV/images/TABMWP_16574.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 18 | 5 |\n| 19 | 6 |\n| 20 | 7 |" + } + ] + }, + { + "id": "table_recognition_train_item_114185", + "image": "table_instructV/images/Rotowire_train_table_1435.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Cavaliers | Cleveland | 97 | 28 | 27 | 22 | 20 | 15 | 40 | 11 | 47 | 58 | 24 | 1 | 3 | | | | |\n| Warriors | Golden State | 108 | 29 | 21 | 29 | 29 | 23 | 43 | 8 | 41 | 81 | 47 | 3 | 1 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Cavaliers | | | | | | | | | | | | | | | | | | |\n| Kyrie Irving | 43 | 34 | 4 | 4 | 14-28 | 50% | 2-6 | 33% | 4-5 | 80% | 3 | 1 | 1 | 1 | 3 | 2 | G | Cleveland |\n| LeBron James | 46 | 25 | 13 | 9 | 11-21 | 52% | 1-5 | 20% | 2-4 | 50% | 2 | 7 | 3 | 4 | 9 | 4 | F | Cleveland |\n| Kevin Love | 25 | 11 | 5 | 0 | 3-6 | 50% | 1-2 | 50% | 4-6 | 67% | 0 | 0 | 1 | 1 | 4 | 1 | N/A | Cleveland |\n| Tristan Thompson | 29 | 10 | 7 | 0 | 5-7 | 71% | 0-0 | 0% | 0-5 | 0% | 0 | 0 | 1 | 6 | 1 | 3 | C | Cleveland |\n| JR Smith | 43 | 10 | 2 | 1 | 3-10 | 30% | 2-8 | 25% | 2-2 | 100% | 0 | 0 | 0 | 0 | 2 | 5 | G | Cleveland |\n| Richard Jefferson | 25 | 3 | 6 | 0 | 1-2 | 50% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 0 | 2 | 4 | 6 | F | Cleveland |\n| Matthew Dellavedova | 5 | 2 | 1 | 1 | 0-1 | 0% | 0-1 | 0% | 2-2 | 100% | 0 | 0 | 0 | 1 | 0 | 1 | N/A | Cleveland |\n| Iman Shumpert | 15 | 2 | 1 | 0 | 1-5 | 20% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 0 | 0 | N/A | Cleveland |\n| Channing Frye | 10 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Cleveland |\n| Dahntay Jones | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Cleveland |\n| Timofey Mozgov | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Mo Williams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| James Jones | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 40 | 38 | 5 | 6 | 11-25 | 44% | 7-13 | 54% | 9-10 | 90% | 2 | 3 | 0 | 3 | 2 | 3 | G | Golden State |\n| Klay Thompson | 39 | 25 | 4 | 1 | 7-14 | 50% | 4-9 | 44% | 7-7 | 100% | 1 | 1 | 1 | 0 | 4 | 2 | G | Golden State |\n| Harrison Barnes | 40 | 14 | 8 | 2 | 5-11 | 46% | 4-5 | 80% | 0-0 | 0% | 1 | 0 | 0 | 3 | 5 | 1 | F | Golden State |\n| Andre Iguodala | 37 | 10 | 6 | 7 | 4-12 | 33% | 2-5 | 40% | 0-0 | 0% | 1 | 1 | 1 | 2 | 4 | 3 | N/A | Golden State |\n| Draymond Green | 42 | 9 | 12 | 4 | 2-9 | 22% | 0-4 | 0% | 5-8 | 63% | 2 | 3 | 3 | 1 | 11 | 4 | F | Golden State |\n| Shaun Livingston | 19 | 8 | 3 | 1 | 3-8 | 38% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 1 | 2 | 3 | N/A | Golden State |\n| James Michael McAdoo | 7 | 2 | 1 | 1 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Golden State |\n| Anderson Varejao | 4 | 2 | 3 | 0 | 0-1 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 3 | 0 | 2 | N/A | Golden State |\n| Andrew Bogut | 10 | 0 | 1 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 0 | 1 | C | Golden State |\n| Festus Ezeli | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-2 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Golden State |\n| Marreese Speights | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Golden State |\n| Leandro Barbosa | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Ian Clark | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |" + } + ] + }, + { + "id": "table_recognition_train_item_117761", + "image": "table_instructV/images/Rotowire_train_table_3223.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Thunder | Oklahoma City | 99 | 27 | 17 | 30 | 25 | 25 | 38 | 14 | 46 | 89 | 33 | 18 | 19 | | | | |\n| Jazz | Utah | 94 | 27 | 23 | 26 | 18 | 22 | 44 | 20 | 49 | 68 | 33 | 13 | 24 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Kevin Durant | 36 | 32 | 5 | 6 | 14-21 | 67% | 2-7 | 29% | 2-2 | 100% | 1 | 2 | 1 | 1 | 4 | 2 | F | Oklahoma City |\n| Russell Westbrook | 38 | 25 | 4 | 12 | 9-17 | 53% | 1-1 | 100% | 6-6 | 100% | 3 | 3 | 0 | 1 | 3 | 3 | G | Oklahoma City |\n| Dion Waiters | 27 | 15 | 3 | 1 | 7-14 | 50% | 1-4 | 25% | 0-1 | 0% | 4 | 2 | 0 | 2 | 1 | 2 | N/A | Oklahoma City |\n| Serge Ibaka | 32 | 12 | 7 | 0 | 5-14 | 36% | 2-3 | 67% | 0-0 | 0% | 2 | 0 | 1 | 1 | 6 | 3 | F | Oklahoma City |\n| Reggie Jackson | 15 | 5 | 3 | 0 | 2-6 | 33% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 0 | N/A | Oklahoma City |\n| Kendrick Perkins | 25 | 4 | 7 | 1 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 1 | 1 | 6 | 2 | N/A | Oklahoma City |\n| Anthony Morrow | 16 | 2 | 1 | 2 | 1-6 | 17% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Oklahoma City |\n| Steven Adams | 22 | 2 | 4 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 1 | 2 | 2 | 2 | C | Oklahoma City |\n| Andre Roberson | 14 | 2 | 2 | 1 | 1-4 | 25% | 0-1 | 0% | 0-0 | 0% | 2 | 0 | 0 | 1 | 1 | 1 | G | Oklahoma City |\n| Nick Collison | 14 | 0 | 2 | 2 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 2 | 2 | N/A | Oklahoma City |\n| Jeremy Lamb | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Ish Smith | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Perry Jones III | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Jazz | | | | | | | | | | | | | | | | | | |\n| Gordon Hayward | 37 | 27 | 4 | 4 | 11-18 | 61% | 1-5 | 20% | 4-6 | 67% | 3 | 5 | 0 | 0 | 4 | 1 | F | Utah |\n| Derrick Favors | 37 | 22 | 11 | 1 | 9-17 | 53% | 0-0 | 0% | 4-6 | 67% | 0 | 4 | 3 | 4 | 7 | 2 | F | Utah |\n| Trey Burke | 38 | 20 | 5 | 5 | 8-15 | 53% | 2-4 | 50% | 2-2 | 100% | 2 | 2 | 0 | 1 | 4 | 0 | G | Utah |\n| Elijah Millsap | 30 | 9 | 4 | 0 | 3-6 | 50% | 3-4 | 75% | 0-0 | 0% | 2 | 3 | 1 | 0 | 4 | 4 | N/A | Utah |\n| Trevor Booker | 21 | 8 | 9 | 0 | 3-8 | 38% | 0-1 | 0% | 2-4 | 50% | 1 | 1 | 0 | 2 | 7 | 2 | N/A | Utah |\n| Rudy Gobert | 38 | 4 | 7 | 3 | 1-2 | 50% | 0-0 | 0% | 2-2 | 100% | 3 | 3 | 7 | 2 | 5 | 2 | C | Utah |\n| Dante Exum | 16 | 3 | 1 | 4 | 1-3 | 33% | 1-3 | 33% | 0-0 | 0% | 1 | 2 | 0 | 0 | 1 | 1 | N/A | Utah |\n| Joe Ingles | 24 | 1 | 3 | 5 | 0-5 | 0% | 0-4 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 3 | 2 | G | Utah |\n| Jeremy Evans | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Ian Clark | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Steve Novak | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Enes Kanter | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Elliot Williams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |" + } + ] + }, + { + "id": "table_recognition_train_item_116943", + "image": "table_instructV/images/Rotowire_train_table_2814.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bucks | Milwaukee | 100 | 21 | 21 | 35 | 23 | 26 | 33 | 19 | 51 | 89 | 30 | 26 | 31 | | | | |\n| Suns | Phoenix | 96 | 23 | 24 | 26 | 23 | 26 | 42 | 20 | 48 | 69 | 36 | 18 | 41 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Bucks | | | | | | | | | | | | | | | | | | |\n| Giannis Antetokounmpo | 36 | 28 | 8 | 6 | 11-13 | 85% | 0-0 | 0% | 6-7 | 86% | 1 | 4 | 2 | 1 | 7 | 3 | F | Milwaukee |\n| Michael Beasley | 23 | 17 | 3 | 0 | 8-10 | 80% | 0-0 | 0% | 1-1 | 100% | 1 | 4 | 1 | 1 | 2 | 3 | N/A | Milwaukee |\n| Malcolm Brogdon | 24 | 15 | 0 | 7 | 6-9 | 67% | 1-3 | 33% | 2-2 | 100% | 2 | 2 | 0 | 0 | 0 | 3 | N/A | Milwaukee |\n| Greg Monroe | 34 | 14 | 8 | 3 | 5-13 | 39% | 0-0 | 0% | 4-5 | 80% | 3 | 3 | 2 | 2 | 6 | 3 | N/A | Milwaukee |\n| Tony Snell | 32 | 13 | 3 | 2 | 5-9 | 56% | 3-6 | 50% | 0-0 | 0% | 0 | 1 | 0 | 1 | 2 | 1 | G | Milwaukee |\n| Khris Middleton | 28 | 8 | 7 | 2 | 3-8 | 38% | 1-3 | 33% | 1-1 | 100% | 0 | 4 | 0 | 0 | 7 | 3 | F | Milwaukee |\n| Jason Terry | 16 | 3 | 0 | 1 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 2 | 0 | 0 | 0 | 0 | 1 | N/A | Milwaukee |\n| Thon Maker | 14 | 2 | 2 | 2 | 0-5 | 0% | 0-2 | 0% | 2-2 | 100% | 0 | 0 | 1 | 1 | 1 | 2 | C | Milwaukee |\n| Mirza Teletovic | 9 | 0 | 0 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Milwaukee |\n| Matthew Dellavedova | 24 | 0 | 2 | 3 | 0-6 | 0% | 0-4 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 1 | G | Milwaukee |\n| John Henson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Rashad Vaughn | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Spencer Hawes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Suns | | | | | | | | | | | | | | | | | | |\n| TJ Warren | 39 | 23 | 5 | 1 | 11-14 | 79% | 1-1 | 100% | 0-0 | 0% | 1 | 1 | 0 | 0 | 5 | 3 | F | Phoenix |\n| Alan Williams | 34 | 17 | 15 | 3 | 7-13 | 54% | 0-0 | 0% | 3-3 | 100% | 3 | 2 | 1 | 7 | 8 | 3 | N/A | Phoenix |\n| Devin Booker | 35 | 15 | 4 | 3 | 5-11 | 46% | 2-3 | 67% | 3-4 | 75% | 1 | 3 | 0 | 0 | 4 | 3 | G | Phoenix |\n| Eric Bledsoe | 34 | 11 | 4 | 9 | 4-10 | 40% | 0-2 | 0% | 3-4 | 75% | 2 | 5 | 2 | 0 | 4 | 4 | G | Phoenix |\n| Marquese Chriss | 16 | 8 | 1 | 1 | 4-8 | 50% | 0-1 | 0% | 0-3 | 0% | 1 | 1 | 0 | 1 | 0 | 4 | F | Phoenix |\n| Alex Len | 14 | 6 | 9 | 0 | 2-7 | 29% | 0-0 | 0% | 2-2 | 100% | 2 | 0 | 0 | 4 | 5 | 1 | C | Phoenix |\n| Jared Dudley | 25 | 6 | 2 | 4 | 2-5 | 40% | 2-4 | 50% | 0-0 | 0% | 1 | 2 | 1 | 0 | 2 | 1 | N/A | Phoenix |\n| Leandro Barbosa | 19 | 6 | 1 | 3 | 3-7 | 43% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Phoenix |\n| Tyler Ulis | 14 | 2 | 1 | 2 | 1-7 | 14% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 1 | N/A | Phoenix |\n| Derrick Jones, Jr. | 10 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 3 | 1 | 0 | 0 | 1 | N/A | Phoenix |\n| Brandon Knight | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Tyson Chandler | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Ronnie Price | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |" + } + ] + }, + { + "id": "table_recognition_train_item_62528", + "image": "table_instructV/images/TabFact_1-11959669-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 45 | february 5 | cleveland | 113 - 114 | allen (24) | rondo (7) | allen (5) | quicken loans arena 20562 | 36 - 9 |\n| 46 | february 6 | la clippers | 111 - 100 | rondo (24) | powe (10) | rondo (8) | td banknorth garden 18624 | 37 - 9 |\n| 47 | february 8 | minnesota | 88 - 86 | pierce (18) | powe (8) | pierce (6) | target center 19511 | 38 - 9 |\n| 48 | february 10 | san antonio | 98 - 90 | pierce (35) | rondo (11) | rondo (12) | td banknorth garden 18624 | 39 - 9 |\n| 49 | february 12 | indiana | 104 - 97 | pierce (28) | pierce (12) | rondo (7) | conseco fieldhouse 13603 | 40 - 9 |\n| 50 | february 13 | new york | 111 - 103 | pierce (24) | posey (11) | pierce (7) | td banknorth garden 18624 | 41 - 9 |\n| 51 | february 19 | denver | 118 - 124 | pierce (24) | powe (11) | pierce (7) | pepsi center 19894 | 41 - 10 |\n| 52 | february 20 | golden state | 117 - 119 | allen (32) | garnett (15) | allen , rondo (6) | oracle arena 20711 | 41 - 11 |\n| 53 | february 22 | phoenix | 77 - 85 | garnett (19) | perkins , pierce (6) | garnett (4) | us airways center 18422 | 41 - 12 |\n| 54 | february 24 | portland | 112 - 102 | pierce (30) | garnett , pierce (7) | rondo (8) | rose garden 20554 | 42 - 12 |\n| 55 | february 25 | la clippers | 104 - 76 | pierce , posey (17) | perkins (9) | allen (7) | staples center 19328 | 43 - 12 |\n| 56 | february 27 | cleveland | 92 - 87 | allen (22) | garnett (11) | rondo (8) | td banknorth garden 18624 | 44 - 12 |" + } + ] + }, + { + "id": "table_recognition_train_item_104027", + "image": "table_instructV/images/ToTTo_train_table_16794.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Building | Image | Year completed | Builder | Style | Address | Neighbourhood | District | Source |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| St. Lawrence Galleries | - | 1850 | | Georgian Revival | 142 King Street East | Old Town | Old Toronto | |\n| Elgin Building | | 1850 | | | 118 Yonge Street | Financial District | Old Toronto | |\n| Newborn Farm | | 1850 | | Farmhouse | 28 Daisy Avenue | Long Branch | Etobicoke | 3 |\n| St. Lawrence Hall | - | 1850 | William Thomas | Renaissance Revival | 157 King Street East | St. Lawrence | Old Toronto | 2 |\n| Tinsmith Shop and Masonic Lodge | - | 1850 | | | 1000 Murray Ross Parkway (Black Creek Pioneer Village) | York University Heights | North York | 6 |\n| Fire House | | 1850 | | | 1000 Murray Ross Parkway (Black Creek Pioneer Village) | York University Heights | North York | 6 |\n| Apple Storage Cellar | | 1850 | | | 1000 Murray Ross Parkway (Black Creek Pioneer Village) | York University Heights | North York | 6 |\n| Taylor's Cooperage | - | 1850 | | | 1000 Murray Ross Parkway (Black Creek Pioneer Village) | York University Heights | North York | 6 |\n| Temperance Hall | | 1850 | | | 1000 Murray Ross Parkway (Black Creek Pioneer Village) | York University Heights | North York | 6 |\n| Scarlett House | | 1850 | Edward Scarlett | | 1 Heritage Place | Humber Heights – Westmount | Etobicoke | 8 |\n| Devonsleigh House | - | 1850 | | | 4125 Steeles Avenue East | Steeles | Scarborough | 14 |\n| Charles Irvine Weaver Shop | - | 1850 | | | 1000 Murray Ross Parkway (Black Creek Pioneer Village) | York University Heights | North York | 6 |\n| Mackenzie Farm | | 1850 | | | 1000 Murray Ross Parkway (Black Creek Pioneer Village) | York University Heights | North York | 6 |\n| Bolton Shop | | 1850 | | | 1000 Murray Ross Parkway (Black Creek Pioneer Village) | York University Heights | North York | 6 |\n| Snider Drive Shed | | 1850 | | | 1000 Murray Ross Parkway (Black Creek Pioneer Village) | York University Heights | North York | 6 |\n| Bake Oven | | 1850 | | | 1000 Murray Ross Parkway (Black Creek Pioneer Village) | York University Heights | North York | 6 |\n| Toronto Baptist Seminary | | 1850 | | | 337 Jarvis Street | Garden District | Old Toronto | |\n| William Gray Second House | | c. 1850 | | | 1413 Don Mills Road | Don Mills | North York | 18 |\n| Forest Home | | 1851 | | | 42–44 Macklingate Court | Agincourt | Scarborough | 8 |\n| Gibson House | - | 1851 | David Gibson | | 5172 Yonge Street | Willowdale | North York | W |\n| Melville Church | - | 1851 | | | 70 Old Kingston Road | West Hill | Scarborough | 18 |\n| 191–197 Church Street | - | 1852 | | Georgian Revival | 191–197 Church Street | Garden District | Old Toronto | 8 |\n| Adelaide Street Court House | Adelaide Court.JPG | 1852 | Frederick William Cumberland and Thomas Ridout | Greek Revival | 57 Adelaide Street East | St. Lawrence | Old Toronto | 3 |\n| Consumer Gas Building | - | 1852 | Frederick William Cumberland and Thomas Ridout | Renaissance Revival | 17, 19, 23, 25 Toronto Street | St. Lawrence | Old Toronto | 3 |\n| Neurologic Rehabilitation Institute of Ontario | | 1852 | | Georgian Revival (front portico and siding added after 1939) | 59 Beaver Bend Crescent | Eringate – Centennial – West Deane | Etobicoke | 3 |\n| Jacob Ross House | - | 1852 | Jacob P. Ross | | 108 Stayner Avenue | Glen Park | North York | 6 |\n| William Galbraith House | | 1853 | | | 37 Maitland Street | Church and Wellesley | Old Toronto | 18 |\n| William Hannah House | | 1853 | | | 36 Metcalfe Street | Cabbagetown | Old Toronto | 18 |\n| Little Trinity Church Rectory | - | 1853 | | | 417 King Street East | Corktown | Old Toronto | 18 |\n| Alexander Muirhead Farm House | Alexander Muirhead house.JPG | 1853 | | Farm house | 179 Old Sheppard Avenue | Pleasant View | North York | |\n| Thomson Manse | | 1853 | | | St. Andrews Road | Bendale | Scarborough | 14 |\n| Toronto Street Post Office | - | 1853 | Frederick William Cumberland and Thomas Ridout | Greek Revival | 10 Toronto Street | St. Lawrence | Old Toronto | 2, 3 |\n| Ashbridge Estate | - | 1854 | | | 1444 Queen Street East | Leslieville | Old Toronto | 3 |\n| Jacob Stong House | | 1854 | Jacob Strong | Victorian | 4700 Keele Street | York University Heights | North York | 18, |\n| Jacob Stong Barn | | 1854 | Jacob Strong | | 4700 Keele Street | York University Heights | North York | 18, |\n| Paul Kane House | - | 1854 | Paul Kane | | 56 Wellesley Street East | Church and Wellesley | Old Toronto | 6, 18 |\n| Thomas Clark House | - | 1854 | | | 9 Barberry Place | Bayview Village | North York | 6 |\n| 5 Old Yonge Street | | 1854 | | | 5 Old Yonge Street | York Mills | North York | |\n| 62–66 Gerrard St. East | | 1854 | | Georgian Revival | 62–66 Gerrard St. East | Garden District | Old Toronto | 9 |\n| 181–183 King Street East | | 1854 | | Georgian Revival | 181–183 King Street East | St. Lawrence | Old Toronto | |\n| 399–403 King Street East | | 1854 | | | 399–403 King Street East | Corktown | Old Toronto | |\n| Esten House | | 1854 | James Grand | | 106 Beverley Street | Grange Park | Old Toronto | 18 |\n| Hutchison Building | Hutchison Building.JPG | 1854 | | | 36–42 Wellington Street East | St. Lawrence | Old Toronto | 9 |\n| O'Keefe House | O'Keefe House.JPG | 1854 | | | 137 Bond Street | Garden District | Old Toronto | |\n| Rose Blacksmith Shop | - | 1854 | | | 1000 Murray Ross Parkway (Black Creek Pioneer Village) | York University Heights | North York | 6 |\n| Samuel Stong House | | 1854 | | | 1000 Murray Ross Parkway (Black Creek Pioneer Village) | York University Heights | North York | 6 |\n| The Warehouse | | 1854 | | | 11 Wellington Street East | Financial District | Old Toronto | 6 |\n| 64–66 Shuter Street | | 1856 | | | 64–66 Shuter Street | Garden District | Old Toronto | 18 |\n| 68–70 Shuter Street | | 1856 | | | 68–70 Shuter Street | Garden District | Old Toronto | 18 |\n| Allandale | - | 1856 | Enoch Turner | | 241 Sherbourne Street | Cabbagetown | Old Toronto | 8 |\n| Emporium and Post Office | - | 1856 | | | 1000 Murray Ross Parkway (Black Creek Pioneer Village) | York University Heights | North York | 6 |\n| Fisherville Church | - | 1856 | | | 1000 Murray Ross Parkway (Black Creek Pioneer Village) | York University Heights | North York | 6 |\n| William Wall House | - | 1856 | | | 77 Seaton Street | Cabbagetown | Old Toronto | 15 |\n| Auberge du Pommier Restaurant (formerly Hogg's Hollow Cottage) | - | 1856 | | | 4150 Yonge Street | Armour Heights | North York | 6 |\n| Northfield Estate (presently a part of Canada's National Ballet School) | - | 1856 | Joseph Sheard | | 372 Jarvis Street | Church and Wellesley | Old Toronto | 6, 18 |\n| St. Basil's Church | - | 1856 | William Hay | | 50 St Joseph Street | Discovery District | Old Toronto | |\n| University of St. Michael's College | St. Mike's campus 1.JPG | 1856 | William Hay | | 50 Saint Joseph Street | Discovery District | Old Toronto | 2 |\n| St. Michael's Mortuary Vault | | 1856 | | | 1414 Yonge Street (St. Michael's Cemetery | Deer Park | Old Toronto | 6, 18 |\n| Salvation Army Rest Home (former) | | 1856 | | | 297 George Street | Garden District | Old Toronto | |\n| Weston CNR bridge | | 1856 | Sir Cazimir Gzowski for Grand Trunk Railway | | Over the Humber River (west of Weston Road and St. Phillips Street) | | | TRCA |\n| 85 Winchester Street | | 1857 | | Georgian Revival | 85 Winchester Street | Cabbagetown | Old Toronto | 18 |\n| Davis House (also Geary House \"Caverhill\") | Davis House.JPG | 1857 | James Boyd Davis | | 124 Park Road | Rosedale | Old Toronto | 8, 18 |\n| William Devenish House | William Devenish House.JPG | 1857 | | | 1355 Victoria Park Avenue | Clairlea | Scarborough | |\n| Mackenzie House | Mackenzie House.JPG | 1857 | William Roger | | 82 Bond Street | Garden District | Old Toronto | 3 |\n| Miller Tavern | - | 1857 | | | 3885 Yonge Street | York Mills | North York | W |\n| John B. Reid House | | 1857 | John Tully | Greek Revival | 24 Mercer Street | Entertainment District | Old Toronto | 18 |\n| Ritchie/Forneri House | | 1857 | | | 283–285 Sherbourne Street | Cabbagetown | Old Toronto | 9 |\n| Henry Scadding House | | 1857 | | | 6 Trinity Square | Downtown Yonge | Old Toronto | 18 |\n| James Small House | | 1857 | | | 281–283 Sherbourne Street | Cabbagetown | Old Toronto | 18 |\n| Toronto Magnetic and Meteorological Observatory | Toronto Magnetic Observatory, WNW.JPG | 1857 | Frederick William Cumberland and William George Storm | | 12 Hart House Circle | Discovery District | Old Toronto | W, 15, 18 |\n| Tin and Copper Smith Building | - | 1857 | Joseph Sheard | | 83 Yonge Street | St. Lawrence | Old Toronto | 18 |\n| Rev. Samuel Boddy House | | 1858 | | | 21 Winchester Street | Cabbagetown | Old Toronto | 18 |\n| Thomas Clarkson Building/John Hallam Building | | 1858 | | Renaissance Revival | 85 Front St E | St. Lawrence | Old Toronto | 18 |\n| Cornell House | - | 1858 | | | 1007 Brimley Road (Thomson Memorial Park) | Bendale | Scarborough | 6 |\n| Culloden | | 1858 | | | 291 Sherbourne Street | Cabbagetown | Old Toronto | 9, 18 |\n| Flynn House | - | 1858 | | | 1000 Murray Ross Parkway (Black Creek Pioneer Village) | York University Heights | North York | 6 |\n| Daniel Flynn Boot and Shoe Shop | - | 1858 | | | 1000 Murray Ross Parkway (Black Creek Pioneer Village) | York University Heights | North York | 6 |\n| Francey Barn | | 1858 | | | 201 Winchester Street (Riverdale Farm) | Cabbagetown | Old Toronto | 18 |\n| Green House | | 1858 | | | 78–80 Gerrard Street East | Garden District | Old Toronto | 9 |\n| Thomas Helliwell Block | Thomas Helliwell Block.JPG | 1858 | | | 81 Front Street East | St. Lawrence | Old Toronto | 6 |\n| Hughes Terrace | | 1858 | | | 319–325 King Street West | Entertainment District | Old Toronto | 18 |\n| John Kestevan House | | 1858 | | | 56 Rose Avenue | Cabbagetown | Old Toronto | 18 |\n| LaRose House | | 1858 | Daniel LaRose | | 322 La Rose Avenue | Richview | Etobicoke | 8 |\n| Edward Leadlay Company | - | 1858 | | Georgian Revival | 87 Front Street East | St. Lawrence | Old Toronto | 18 |\n| St. James The Less Chapel | - | 1858 | Frederick William Cumberland and William George Storm | Gothic Revival | 635 Parliament Street | Cabbagetown | Old Toronto | 6 |\n| St. Stephen-in-the-Fields | | 1858 | | | 103 Bellevue Avenue | Kensington Market | Old Toronto | 18 |\n| H. S. Strathy House | | 1858 | | Second Empire | 342 Adelaide Street West | Entertainment District | Old Toronto | 18 |\n| Wilmot Township Hall | - | 1858 | | | 1000 Murray Ross Parkway (Black Creek Pioneer Village) | York University Heights | North York | 6 |\n| Alumnae Theatre | - | 1859 | | | 70 Berkeley Street | Old Town | Old Toronto | 9 |\n| Bain House | Bain House, Toronto.JPG | 1859 | Robert Sargant | | 14 Dingwall Avenue | Riverdale | Old Toronto | 8 |\n| Cherry Street Hotel | - | 1859 | Joseph Sheard | | 409 Front Street East | West Don Lands | Old Toronto | 6, 18 |\n| Thomas Meredith House | | 1859 | | | 305 George Street | Garden District | Old Toronto | 18 |\n| Robertson Cottages | | 1859 | | | 703–705,711–721 Richmond Street West | Niagara | Old Toronto | 6, 18 |\n| Alexander Smith Block | Alexander Smith Block.JPG | 1859 | | | 77 Front Street East | St. Lawrence | Old Toronto | 6 |\n| University College Main Building | - | 1859 | Frederick William Cumberland and William George Storm; David Dick (1892) | Norman Romanesque Revival | 15 King's College Circle (University College) | Discovery District | Old Toronto | 6 |\n| University College Croft House | - | 1859 | Frederick William Cumberland | | 15 King's College Circle (University College) | Discovery District | Old Toronto | 6 |\n| Applewood, The Shaver Homestead | | c. 1850s | | | 450 The West Mall | Eatonville | Etobicoke | 14 |\n| Newtonbrook Store | - | c. 1850s | | | 5926 Yonge Street | Newtonbrook | North York | 14 |" + } + ] + }, + { + "id": "table_recognition_train_item_34557", + "image": "table_instructV/images/TABMWP_6393.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| | Horizontally | Vertically |\n| --- | --- | --- |\n| 50 photos | 5 | 6 |\n| 100 photos | 2 | 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_105707", + "image": "table_instructV/images/ToTTo_train_table_23914.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| Name | Seasons | Championships | MotoGP Wins | 500cc Wins | 350cc Wins | Moto2 Wins | 250cc Wins | Moto3 Wins | 125cc Wins | 80cc Wins | 50cc Wins |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Spain Andreas Rabadan | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain José Luís Rabadan | 1993 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Algeria Aliouat Rabah | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Esteve Rabat | 2005- | 1 Moto2 - 2014 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 |\n| Sweden Morgan Radberg | 1971 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| South Africa Mario Rademeyer | 1983-1985 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Croatia Alex Radman | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United Kingdom Bill Rae | 1971-1973 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Switzerland Damien Raemy | 2009, 2011 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Belgium Jack Raffeld | 1951 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Switzerland Jesko Raffin | 2011 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Austria Josef Ragginger | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Indonesia Yahas Rahmat | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United Kingdom Jonathan Railton | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United States Wayne Rainey | 1984, 1988-1993 | 3 500cc - 1990-1992 | 0 | 24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| India Surya Raja | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| India Krishnan Rajini | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Netherlands Teunis Ramaker | 1970-1972 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| France Kévin Rambure | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Jose Ramon Ramirez | 1996-1998 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Juan Ramirez | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Marcos Ramirez | 2014 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Lluis Ramon | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Belgium Paul Ramon | 1986 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Vicente Ramon | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Venezuela Gabriel Ramos | 2014- | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Jose Manuel Ramos | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Brazil Renato Ramos | 1997 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Roman Ramos | 2010, 2012- | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United Kingdom Callum Ramsey | 1995, 1997-2000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| South Africa Gavin Ramsay | 1992 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United Kingdom Paul Randall | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Italy Franco Randazzo | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United Kingdom Barry Randle | 1968, 1971-1974 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Italy Giulio Rangheri | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Czech Republic Norman Rank | 2001, 2003 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Austria Michael Ranseder | 2004-2010 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Germany Kasimir Rapczynski | 1973 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| France Thierry Rapicault | 1983-1985, 1987-1988 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United States Steve Rapp | 2012 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Malaysia Shafiq Rasol | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Denmark Kevin Rassmussen | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| France Christophe Rastel | 2003 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Finland Ari Raty | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Germany Franz Rau | 1977 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Germany Dirk Raudies | 1989-1997 | 1 125cc - 1993 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 |\n| France Jean Phillipe Rault | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Italy Marco Ravaioli | 2008, 2010 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| France Christian Ravel | 1969-1970 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| France Mathieu Ravier | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| India Deepak Ravikumar | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United Kingdom Kevin Raymond | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Czech Republic Lukas Razek | 2005 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United Kingdom Gino Rea | 2012- | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United Kingdom Jonathan Rea | 2012 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United Kingdom David Read | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United Kingdom Phil Read | 1961-1976 | 7 500cc - 1973-1974 250cc - 1964-1965, 1968, 1971 125cc - 1968 | 0 | 11 | 4 | 0 | 27 | 0 | 10 | 0 | 0 |\n| Germany Norbert Redholz | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United States Corey Rech | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United Kingdom Scott Redding | 2008- | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 0 | 0 |\n| United Kingdom Mark Reddington | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Rhodesia Jim Redman | 1959-1966 | 6 350cc - 1962-1965 250cc - 1962-1963 | 0 | 2 | 21 | 0 | 18 | 0 | 4 | 0 | 0 |\n| United Kingdom Edward Rees | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United Kingdom George Reeve | 1949 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United Kingdom Tim Reeves | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United Kingdom Tristan Reeves | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Italy Loris Reggiani | 1980-1995 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 3 | 0 | 0 |\n| France Thomas Regnier | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Germany Kai Reibetanz | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Finland Markus Reich | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Germany Udo Reichmann | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Republic of Ireland Andrew Reid | 2010 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Australia Ben Reid | 1997 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Germany Christian Reif | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Indonesia Mohammad Reihan | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Germany Gustav Reiner | 1979-1988 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Germany Neumair Reinhard | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Germany Dirk Reissmann | 1999-2000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Hungary Janos Reisz | 1968-1971, 1973-1975 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Germany Markus Reiterberger | 2012 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Hungary Fritz Reitmaier | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Portugal Ivo Relmas | 2007 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Slovenia Jacob Remse | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Slovenia Janez Remse | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| France Franck Renault | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Belgium Rene Reiner | 1979 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Australia Martin Renfrey | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United States Randy Renfrow | 1988 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Netherlands Ron Reniers | 1993 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United Kingdom Ralph Rensen | 1960-1961 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Germany Kevin Rentzsch | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Germany Roland Rentzsch | 1965, 1970 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Italy Ronnei Repetti | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Hungary Geza Repitz | 1972-1974 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Finland Anssi Resko | 1961-1962, 1975 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Austria Erich Reuberger | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Germany Thomas Reuter | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Sweden Johan Reuterholt | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| France Clément Revolte | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Luis Miguel Reyes | 1983-1990 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Miguel Reyes | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United Kingdom John Reynolds | 1993-1994 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Xavi Riagua | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Pere Riba | 1993, 1995, 2002 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Daniel Ribalta | 1996, 1989 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Italy Gianni Ribuffo | 1973-1974 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Italy Fausto Ricci | 1984-1992, 1994 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Italy Maurizio Ricci | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Australia Ricky Rice | 1990-1991 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United States Ted Rich | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Australia Glen Richards | 1994-1995 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United Kingdom Ian Richards | 1969-1971, 1974, 1976 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| France Serge Richert | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Italy Luigi Richetti | 1974, 1976 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Austria Ladi Richter | 1960, 1963 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Germany Reiner Richter | 1972 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Germany Rigo Richter | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Francisco Rico | 1983 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Australia Ben Ried | 2004 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Germany Toni Riedel | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Germany Ernst Riederbauch | 1955 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Germany Daniel Ries | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Switzerland Manuel Riesen | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Australia Brent Rigoli | 2004 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Australia Michael Rigondeau | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Australia Gerard Rike | 1996-1997 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Netherlands Paul Rimmelzwaan | 1982-1985 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Italy Michael Ruben Rinaldi | 2012-2014 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Italy Luigi Rinaudo | 1969-1973, 1978 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Austria Ernie Ring | 1952-1953 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United Kingdom John Ringwood | 1969 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Finland Taru Rinne | 1987-1990 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Alex Rins | 2012- | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 |\n| Argentina Alfredo Rios | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Argentina Matias Rios | 1998-1999 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Netherlands Eico Ripens | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Francisco Riquelme | 1996 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Isaac Riquelme | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United States James Rispoli | 2012 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Germany Herbert Rittberger | 1973-1977 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |\n| Germany Hans-Joachim Ritter | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Germany Marco-Jürgen Ritz | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Josep Rius | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| France Gilles Riva | 1988 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Dani Rivas | 2010, 2012-2013 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Benigno Rivera | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Hungary Gabor Rizmayer | 2001-2003, 2005 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United Kingdom Tommy Robb | 1957-1959, 1962-1971, 1973 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 |\n| France Lionel Robert | 1987 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Canada Adam Roberts | 2009 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United States Eddie Roberts | 1975-1977 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United States Kenny Roberts | 1974, 1978-1983 | 3 500cc - 1978-1980 | 0 | 22 | 0 | 0 | 2 | 0 | 0 | 0 | 0 |\n| United States Kenny Roberts, Jr. | 1993-2006 | 1 500cc - 2000 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United States Kurtis Roberts | 1997, 2001, 2004-2005, 2007 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United Kingdom Bill Robertson | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United Kingdom Michael Robertson | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| France Philippe Robinet | 1982, 1986 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| France Raymond Roche | 1978, 1980, 1982-1988 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| France Christophe Rochel | 1995 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Vincente Rocher | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United States George Rockett | 1964, 1967 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United States Jimmy Rodger | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Germany Guido Rodler | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Argentina Gabriel Rodrigo | 2014- | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Belgium Dury Rodrigue | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Portugal Edgar Rodrigues | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Ángel Rodríguez | 2001-2006 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Aitor Rodríguez | 2009 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Félix Rodríguez | 1986, 1995 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Javier Rodríguez | 1992, 1995 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Josep Rodríguez | 2010-2012 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Laura Rodríguez | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Oscar Rodríguez | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Spain Pedro Rodríguez | 2010-2011 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Netherlands Jan Roelofs | 2004, 2006 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Italy Roberto Rolfo | 1996, 1998-2005, 2010, 2012 | 0 | 0 | 0 | 0 | 1 | 3 | 0 | 0 | 0 | 0 |\n| Italy Doriano Romboni | 1989-1998 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 2 | 0 | 0 |\n| Malaysia Ramdan Rosli | 2014- | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Italy Graziano Rossi | 1978-1980 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 |\n| Switzerland Colin Rossi | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| France Louis Rossi | 2007-2008, 2010- | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |\n| Italy Valentino Rossi | 1996- | 9 MotoGP - 2002-2005, 2008-2009 500cc - 2001 250cc - 1999 125cc - 1997 | 69 | 13 | 0 | 0 | 14 | 0 | 12 | 0 | 0 |\n| France Michel Rougerie | 1972-1981 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 0 |\n| Italy Bruno Ruffo | 1949-1952 | 3 250cc - 1949, 1951 125cc - 1950 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 0 | 0 |\n| France Jean Philippe Ruggia | 1987-1996, 1998 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 |\n| United Kingdom Gordon Russell | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United Kingdom Michael Russell | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| United States Scott Russell | 1995-1996 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_33894", + "image": "table_instructV/images/TABMWP_33810.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Number of fish bowls | Number of yellow fish |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_112941", + "image": "table_instructV/images/Rotowire_train_table_813.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Mavericks | Dallas | 91 | 26 | 24 | 19 | 22 | 23 | 39 | 14 | 41 | 79 | 35 | 31 | 42 | | | | |\n| Thunder | Oklahoma City | 92 | 25 | 10 | 22 | 35 | 17 | 48 | 17 | 44 | 86 | 26 | 42 | 31 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Mavericks | | | | | | | | | | | | | | | | | | |\n| Nerlens Noel | 28 | 15 | 8 | 1 | 6-12 | 50% | 0-0 | 0% | 3-4 | 75% | 4 | 1 | 2 | 4 | 4 | 4 | C | Dallas |\n| Wesley Matthews | 37 | 15 | 4 | 4 | 5-13 | 39% | 2-9 | 22% | 3-3 | 100% | 1 | 2 | 0 | 0 | 4 | 2 | G | Dallas |\n| Yogi Ferrell | 32 | 13 | 4 | 5 | 5-10 | 50% | 3-4 | 75% | 0-0 | 0% | 3 | 3 | 0 | 1 | 3 | 2 | G | Dallas |\n| Devin Harris | 21 | 12 | 6 | 1 | 4-7 | 57% | 1-3 | 33% | 3-3 | 100% | 2 | 3 | 1 | 1 | 5 | 0 | N/A | Dallas |\n| Harrison Barnes | 37 | 10 | 2 | 0 | 4-14 | 29% | 1-4 | 25% | 1-2 | 50% | 1 | 1 | 0 | 1 | 1 | 1 | F | Dallas |\n| J.J. Barea | 29 | 10 | 1 | 8 | 3-9 | 33% | 2-4 | 50% | 2-2 | 100% | 1 | 1 | 0 | 0 | 1 | 0 | N/A | Dallas |\n| Salah Mejri | 17 | 8 | 5 | 1 | 3-4 | 75% | 0-0 | 0% | 2-3 | 67% | 0 | 0 | 0 | 1 | 4 | 3 | N/A | Dallas |\n| Dirk Nowitzki | 25 | 8 | 8 | 2 | 3-9 | 33% | 1-3 | 33% | 1-2 | 50% | 0 | 3 | 1 | 0 | 8 | 3 | F | Dallas |\n| Dorian Finney-Smith | 14 | 0 | 1 | 1 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Dallas |\n| Dwight Powell | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| Jarrod Uthoff | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| Nicolas Brussino | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| Manny Harris | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Russell Westbrook | 36 | 37 | 13 | 10 | 15-30 | 50% | 2-9 | 22% | 5-5 | 100% | 2 | 6 | 0 | 0 | 13 | 0 | G | Oklahoma City |\n| Victor Oladipo | 37 | 15 | 9 | 2 | 6-15 | 40% | 3-6 | 50% | 0-0 | 0% | 1 | 2 | 1 | 1 | 8 | 3 | G | Oklahoma City |\n| Taj Gibson | 24 | 13 | 6 | 1 | 6-10 | 60% | 0-0 | 0% | 1-1 | 100% | 0 | 1 | 1 | 4 | 2 | 2 | F | Oklahoma City |\n| Steven Adams | 29 | 8 | 6 | 1 | 4-6 | 67% | 0-0 | 0% | 0-0 | 0% | 2 | 3 | 2 | 3 | 3 | 3 | C | Oklahoma City |\n| Enes Kanter | 17 | 6 | 2 | 0 | 2-6 | 33% | 0-0 | 0% | 2-4 | 50% | 0 | 3 | 0 | 2 | 0 | 4 | N/A | Oklahoma City |\n| Doug McDermott | 13 | 5 | 2 | 0 | 2-3 | 67% | 1-2 | 50% | 0-0 | 0% | 1 | 0 | 0 | 1 | 1 | 1 | N/A | Oklahoma City |\n| Jerami Grant | 15 | 4 | 1 | 0 | 1-3 | 33% | 0-2 | 0% | 2-2 | 100% | 0 | 0 | 2 | 0 | 1 | 0 | N/A | Oklahoma City |\n| Andre Roberson | 36 | 2 | 3 | 2 | 1-5 | 20% | 0-2 | 0% | 0-0 | 0% | 3 | 0 | 1 | 0 | 3 | 3 | F | Oklahoma City |\n| Semaj Christon | 20 | 2 | 3 | 1 | 0-5 | 0% | 0-1 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 3 | 2 | N/A | Oklahoma City |\n| Alex Abrines | 7 | 0 | 2 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 2 | N/A | Oklahoma City |\n| Nick Collison | 6 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 1 | N/A | Oklahoma City |\n| Norris Cole | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Domantas Sabonis | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |" + } + ] + }, + { + "id": "table_recognition_train_item_50246", + "image": "table_instructV/images/TAT-QA_440d606b-7295-4880-b6be-fb4d8e00d936.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| SELECTED FINANCIAL DATA: IFRS | | | | | |\n| --- | --- | --- | --- | --- | --- |\n| € millions, unless otherwise stated | 2019 | 2018 | 2017 | 2016 | 2015 |\n| Income Statement Data: Years ended December 31, | | | | | |\n| Cloud revenue | 6,933 | 4,993 | 3,769 | 2,993 | 2,286 |\n| Software licenses and support revenue | 16,080 | 15,628 | 15,780 | 15,431 | 14,928 |\n| Cloud and software revenue | 23,012 | 20,622 | 19,549 | 18,424 | 17,214 |\n| Total revenue | 27,553 | 24,708 | 23,461 | 22,062 | 20,793 |\n| Operating profit | 4,473 | 5,703 | 4,877 | 5,135 | 4,252 |\n| Profit after tax | 3,370 | 4,088 | 4,046 | 3,629 | 3,056 |\n| Profit attributable to owners of parent | 3,321 | 4,083 | 4,008 | 3,642 | 3,064 |\n| Earnings per share(1) | | | | | |\n| Basic in € | 2.78 | 3.42 | 3.35 | 3.04 | 2.56 |\n| Diluted in € | 2.78 | 3.42 | 3.35 | 3.04 | 2.56 |\n| Other Data: | | | | | |\n| Weighted-average number of shares outstanding | | | | | |\n| Basic | 1,194 | 1,194 | 1,197 | 1,198 | 1,197 |\n| Diluted | 1,194 | 1,194 | 1,198 | 1,199 | 1,198 |\n| Statement of Financial Position Data: At December 31, | | | | | |\n| Cash and cash equivalents | 5,314 | 8,627 | 4,011 | 3,702 | 3,411 |\n| Total assets | 60,215 | 51,502 | 42,484 | 44,262 | 41,390 |\n| Current financial liabilities(2) | 3,273 | 1,125 | 1,561 | 1,813 | 841 |\n| Non-current financial liabilities(2) | 12,923 | 10,553 | 5,034 | 6,481 | 8,681 |\n| Issued capital | 1,229 | 1,229 | 1,229 | 1,229 | 1,229 |\n| Total equity | 30,822 | 28,877 | 25,515 | 26,382 | 23,295 |" + } + ] + }, + { + "id": "table_recognition_train_item_63204", + "image": "table_instructV/images/TabFact_2-14778294-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| medal | name | games | sport | event |\n| --- | --- | --- | --- | --- |\n| bronze | arnoldo devonish | 1952 helsinki | athletics | men 's triple jump |\n| bronze | enrico forcella | 1960 rome | shooting | men 's 50 metre rifle prone |\n| gold | francisco rodriguez | 1968 mexico city | boxing | men 's light flyweight |\n| silver | pedro gamarro | 1976 montreal | boxing | men 's welterweight |\n| silver | bernardo piñango | 1980 moscow | boxing | men 's bantamweight |\n| bronze | marcelino bolivar | 1984 los angeles | boxing | men 's light flyweight |\n| bronze | omar catari | 1984 los angeles | boxing | men 's featherweight |\n| bronze | rafael vidal | 1984 los angeles | swimming | men 's 200 m butterfly |\n| bronze | adriana carmona | 2004 athens | taekwondo | women + 67 kg |\n| bronze | israel jose rubio | 2004 athens | weightlifting | men 's featherweight |\n| bronze | dalia contreras | 2008 beijing | taekwondo | women 49 kg |\n| gold | rubén limardo | 2012 london | fencing | men 's épée |" + } + ] + }, + { + "id": "table_recognition_train_item_32868", + "image": "table_instructV/images/TABMWP_23121.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 5 | 20 |\n| 6 | 18 |\n| 7 | 8 |" + } + ] + }, + { + "id": "table_recognition_train_item_117045", + "image": "table_instructV/images/Rotowire_train_table_2865.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Warriors | Golden State | 89 | 22 | 27 | 27 | 13 | 22 | 39 | 10 | 39 | 77 | 37 | 3 | 4 | | | | |\n| Cavaliers | Cleveland | 93 | 23 | 19 | 33 | 18 | 17 | 48 | 11 | 40 | 84 | 24 | 4 | 3 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Draymond Green | 47 | 32 | 15 | 9 | 11-15 | 73% | 6-8 | 75% | 4-4 | 100% | 2 | 2 | 0 | 1 | 14 | 3 | F | Golden State |\n| Stephen Curry | 39 | 17 | 5 | 2 | 6-19 | 32% | 4-14 | 29% | 1-1 | 100% | 1 | 4 | 1 | 0 | 5 | 4 | G | Golden State |\n| Klay Thompson | 42 | 14 | 2 | 2 | 6-17 | 35% | 2-10 | 20% | 0-0 | 0% | 1 | 3 | 0 | 1 | 1 | 2 | G | Golden State |\n| Harrison Barnes | 29 | 10 | 2 | 1 | 3-10 | 30% | 2-4 | 50% | 2-2 | 100% | 1 | 0 | 0 | 0 | 2 | 4 | F | Golden State |\n| Shaun Livingston | 16 | 8 | 1 | 2 | 3-7 | 43% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 1 | 0 | 1 | N/A | Golden State |\n| Andre Iguodala | 38 | 4 | 9 | 4 | 2-6 | 33% | 0-3 | 0% | 0-2 | 0% | 2 | 0 | 2 | 2 | 7 | 3 | N/A | Golden State |\n| Leandro Barbosa | 4 | 3 | 0 | 0 | 1-2 | 50% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Golden State |\n| Anderson Varejao | 8 | 1 | 0 | 1 | 0-1 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 3 | N/A | Golden State |\n| Marreese Speights | 5 | 0 | 4 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 2 | 2 | 2 | 0 | N/A | Golden State |\n| Festus Ezeli | 11 | 0 | 1 | 1 | 0-4 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | C | Golden State |\n| James Michael McAdoo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Brandon Rush | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Ian Clark | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Cavaliers | | | | | | | | | | | | | | | | | | |\n| LeBron James | 47 | 27 | 11 | 11 | 9-24 | 38% | 1-5 | 20% | 8-10 | 80% | 2 | 5 | 3 | 1 | 10 | 1 | F | Cleveland |\n| Kyrie Irving | 43 | 26 | 6 | 1 | 10-23 | 44% | 2-5 | 40% | 4-4 | 100% | 1 | 2 | 1 | 3 | 3 | 3 | G | Cleveland |\n| JR Smith | 39 | 12 | 4 | 2 | 5-13 | 39% | 2-8 | 25% | 0-0 | 0% | 1 | 2 | 0 | 0 | 4 | 3 | G | Cleveland |\n| Kevin Love | 30 | 9 | 14 | 3 | 3-9 | 33% | 0-3 | 0% | 3-4 | 75% | 2 | 1 | 0 | 4 | 10 | 2 | F | Cleveland |\n| Tristan Thompson | 32 | 9 | 3 | 0 | 3-3 | 100% | 0-0 | 0% | 3-4 | 75% | 0 | 0 | 2 | 0 | 3 | 4 | C | Cleveland |\n| Iman Shumpert | 19 | 6 | 1 | 0 | 1-3 | 33% | 1-3 | 33% | 3-3 | 100% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Cleveland |\n| Richard Jefferson | 26 | 2 | 9 | 0 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 8 | 1 | N/A | Cleveland |\n| Mo Williams | 5 | 2 | 0 | 0 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Cleveland |\n| Channing Frye | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Matthew Dellavedova | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| James Jones | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Dahntay Jones | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Timofey Mozgov | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |" + } + ] + }, + { + "id": "table_recognition_train_item_34334", + "image": "table_instructV/images/TABMWP_33.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 10 | 15 |\n| 11 | 9 |\n| 12 | 2 |" + } + ] + }, + { + "id": "table_recognition_train_item_59210", + "image": "table_instructV/images/TabFact_2-15822113-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| team 1 | agg | team 2 | 1st leg | 2nd leg |\n| --- | --- | --- | --- | --- |\n| cska sofia | 151 - 200 | real madrid | 73 - 103 | 78 - 97 |\n| zepter idea śląsk wrocław | 154 - 195 | scavolini | 72 - 91 | 82 - 104 |\n| usk prague | 152 - 175 | estudiantes | 84 - 99 | 68 - 76 |\n| budivelnik | 165 - 210 | knorr bologna | 80 - 114 | 85 - 96 |\n| tsv bayer 04 leverkusen | 245 - 191 | ask brocéni | 126 - 103 | 119 - 88 |\n| crvena zvezda | 0 - 4 | paok | 0 - 2 | 0 - 2 |\n| union olimpija | 166 - 176 | olympiacos | 85 - 88 | 81 - 88 |\n| guildford kings | 129 - 143 | csp limoges | 72 - 72 | 57 - 71 |\n| efes pilsen | 120 - 131 | pau orthez | 65 - 67 | 55 - 64 |\n| helsingin nmky | 175 - 192 | cibona | 87 - 83 | 88 - 109 |\n| cska moscow | 173 - 174 | zadar | 95 - 86 | 78 - 88 |\n| sl benfica | 156 - 189 | maccabi tel aviv | 75 - 89 | 81 - 100 |\n| hapoel tel aviv | 164 - 170 | maes pils mechelen | 88 - 80 | 76 - 90 |" + } + ] + }, + { + "id": "table_recognition_train_item_63480", + "image": "table_instructV/images/TabFact_2-15116860-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| nation | gold | silver | bronze | total |\n| --- | --- | --- | --- | --- |\n| belgium | 2 | 2 | 1 | 5 |\n| switzerland | 1 | 0 | 0 | 1 |\n| italy | 0 | 1 | 0 | 1 |\n| denmark | 0 | 0 | 1 | 1 |\n| czech republic | 0 | 0 | 1 | 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_106318", + "image": "table_instructV/images/ToTTo_train_table_26569.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Name | Street address | Years as tallest | Height feet / m | Floors | Reference |\n| --- | --- | --- | --- | --- | --- |\n| First Michigan State Capitol | Capitol Park | 1828–1866 | 140 / 43 | 2 | |\n| Most Holy Trinity Church | 1050 Porter Street | 1866–1871 | 170 / 52 | 1 | |\n| Former Detroit City Hall | Campus Martius Park | 1871–1877 | 200 / 61 | 4 | |\n| St. Joseph Church | 1828 Jay Street | 1873–1877 | 200 / 61 | 1 | |\n| Fort Street Presbyterian Church | 631 West Fort Street | 1877–1909 | 265 / 81 | 1 | |\n| Ford Building | 615 Griswold Street | 1909–1913 | 275 / 84 | 19 | |\n| Penobscot Building Annex | 144 West Congress Street | 1913 | 310 / 95 | 23 | |\n| Chrysler House | 719 Griswold Street | 1913–1924 | 324 / 99 | 23 | |\n| Book Cadillac Hotel | 220 Michigan Avenue | 1924–1925 | 349 / 106 | 29 | |\n| Buhl Building | 535 Griswold Street | 1925–1926 | 366 / 112 | 29 | |\n| Book Tower | 1265 Washington Boulevard | 1926–1928 | 475 / 145 | 38 | |\n| Penobscot Building | 633 Griswold Street | 1928–1977 | 565 / 172 | 47 | |\n| Detroit Marriott at the Renaissance Center | 1 Renaissance Center Drive | 1977–present | 727 / 222 | 73 | |" + } + ] + }, + { + "id": "table_recognition_train_item_101093", + "image": "table_instructV/images/ToTTo_train_table_4623.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Club | Founded | Nickname | Location | Home Ground | Entered Competition | Most recent Promotion | Jumper |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Bundoora Football Club | 1974 | Bulls | Bundoora | Yulong Reserve | 1981 | 1982 | - |\n| Greensborough Football Club | 1893 | Boro | Greensborough | War Memorial Park | 1922 | 2007 | - |\n| Heidelberg Football Club | 1876 | Tigers | Heidelberg | Warringal Park | 1923 | 1984 | - |\n| Hurstbridge Football Club | 1914 | Bridges | Hurstbridge | Ben Frilay Oval | 1922–1931, 1988 | 2016 | - |\n| Lower Plenty Football Club | 1961 | Bears | Montmorency | Montmorency Park, South Oval | 1995 | 2018 | - |\n| Macleod Football Club | 1946 | Kangaroos | Rosanna | De Winton Park | 1947 | 2009 | - |\n| Montmorency Football Club | 1924 | Magpies | Montmorency | Montmorency Park, North Oval | 1924 | N/A | - |\n| North Heidelberg Football Club | 1958 | Bulldogs | Heidelberg Heights | Shelley Street Reserve | 1958 | 2017 | - |\n| Northcote Park Football Club | 1952 | Cougars | Northcote | Bill Lawry Oval | 1982 | 1994 | - |\n| West Preston Lakeside Football Club | 1998 | Roosters | Reservoir | J E Moore Park | 1996 | 1997 | - |" + } + ] + }, + { + "id": "table_recognition_train_item_53782", + "image": "table_instructV/images/TabFact_2-17323283-13.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| round | player | position | nationality | college / junior / club team (league) |\n| --- | --- | --- | --- | --- |\n| 1 | steve vickers | lw | canada | toronto marlboros ( oha ) |\n| 1 | steve durbano | d | canada | toronto marlboros (oha) |\n| 2 | tom williams | lw | canada | hamilton red wings (oha) |\n| 3 | terry west | c | canada | london knights (oha) |\n| 4 | jerry butler | rw | canada | hamilton red wings (oha) |\n| 5 | fraser reobertson | d | can | lethbridge sugar kings ( ajhl ) |\n| 6 | wayne wood | g | canada | montreal junior canadiens (oha) |\n| 7 | doug keeler | c | canada | ottawa 67 's (oha) |\n| 7 | jean - denis royal | d | canada | saint - jerome alouettes ( qmjhl ) |\n| 8 | gene sobchuk | lw | canada | regina pats ( wchl ) |\n| 9 | jim ivison | d | canada | brandon wheat kings (wchl) |\n| 10 | andre peloffy | c | france | rosemont national (qmjhl) |\n| 11 | elston evoy | c | canada | sault ste marie greyhounds ( noha ) |\n| 12 | gerry lecomte | d | canada | sherbrooke beavers (qmjhl) |\n| 13 | wayne forsey | lw | canada | swift current broncos (wchl) |\n| 14 | bill forrest | d | canada | hamilton red wings (oha) |" + } + ] + }, + { + "id": "table_recognition_train_item_33191", + "image": "table_instructV/images/TABMWP_26788.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Number of tables | Number of mustard bottles |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_107953", + "image": "table_instructV/images/ToTTo_train_table_33390.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| | Name | Country | Region | Depth (meters) | Depth (feet) |\n| --- | --- | --- | --- | --- | --- |\n| 1. | Baikal | Russia | Siberia | 1,642 | 5,387 |\n| 2. | Tanganyika | Tanzania Democratic Republic of the Congo Burundi Zambia | Central Africa | 1,470 | 4,823 |\n| 3. | (Caspian Sea) | Iran Russia Turkmenistan Kazakhstan Azerbaijan | | 1,025 | 3,363 |\n| 4. | Vostok | Antarctica | | ~1,000 | ~3,300 |\n| 5. | O'Higgins-San Martín | Chile Argentina | Aysén (Chile), Santa Cruz (Argentina) | 836 | 2,742 |\n| 6. | Malawi/Nyasa/Niassa | Mozambique Malawi Tanzania | | 706 | 2,316 |\n| 7. | Issyk Kul | Kyrgyzstan | | 668 | 2,192 |\n| 8. | Great Slave | Canada | Northwest Territories | 614 | 2,015 |\n| 9. | Quesnel | Canada | British Columbia | 610 | 2,001 |\n| 10. | Crater | United States | Oregon | 594 | 1,949 |\n| 11. | Matano | Indonesia | Sulawesi | 590 | 1,936 |\n| 12. | General Carrera-Buenos Aires | Chile Argentina | | 586 | 1,923 |\n| 13. | Hornindalsvatnet | Norway | Sogn og Fjordane | 514 | 1,686 |\n| 14. | Toba | Indonesia | Sumatra | 505 | 1,657 |\n| 15. | Sarez | Tajikistan | | 505 | 1,657 |\n| 16. | Tahoe | United States | California, Nevada | 501 | 1,645 |\n| 17. | Argentino | Argentina | Santa Cruz (Patagonia) | 500 | 1,640 |\n| 18. | Kivu | Democratic Republic of the Congo Rwanda | | 480 | 1,575 |\n| 19. | Grand | Canada | Newfoundland | 475 | 1,558 |\n| 20. | Salsvatnet | Norway | Nord-Trøndelag county | 464 | 1,523 |\n| 21. | Nahuel Huapi | Argentina | Rio Negro, Patagonia | 464 | 1,523 |\n| 22. | Hauroko | New Zealand | Southland (South Island) | 462 | 1,516 |\n| 23. | Cochrane / Pueyrredón | Chile Argentina | Aysén (Chile) Santa Cruz (Argentina) | 460 | 1,509 |\n| 24. | Lake Tinn | Norway | Telemark county | 460 | 1,509 |\n| 25. | Adams | Canada | British Columbia | 457 | 1,499 |\n| 26. | Chelan | United States | Washington (state) | 453 | 1,486 |\n| 27. | Van | Turkey | | 451 | 1,480 |\n| 28. | Poso | Indonesia | Sulawesi | 450 | 1,476 |\n| 29. | Fagnano | Argentina Chile | Tierra del Fuego | 449 | 1,473 |\n| 30 | Great Bear | Canada | Northwest Territories | 446 | 1,463 |\n| 31. | Manapouri | New Zealand | Southland (South Island) | 444 | 1,457 |\n| 32. | Mjøsa | Norway | Hedmark, Oppland and Akershus counties | 443.5 | 1,455 |\n| 33. | Te Anau | New Zealand | Southland (South Island) | 425 | 1,390 |\n| 34. | Tazawa | Japan | Akita Prefecture | 423 | 1,387 |\n| 35. | Wakatipu | New Zealand | South Island | 420 | 1,378 |\n| 36. | Como | Italy | Lombardy | 410 | 1,345 |\n| 37. | Superior | Canada United States | Ontario, Michigan, Minnesota, Wisconsin | 406 | 1,332 |" + } + ] + }, + { + "id": "table_recognition_train_item_32068", + "image": "table_instructV/images/TABMWP_14010.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Number of gym lockers | Number of soccer balls |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | 10 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_101659", + "image": "table_instructV/images/ToTTo_train_table_7036.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Wales | 4 – 1 | Ireland |\n| --- | --- | --- |\n| Grenville Morris 2 Robert Evans 2 | | Johnny Darling |" + } + ] + }, + { + "id": "table_recognition_train_item_101921", + "image": "table_instructV/images/ToTTo_train_table_8195.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| No. overall | No. in season | Title | Directed by | Written by | Original air date | Prod. code | U.S. viewers (millions) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 112 | 1 | \"I'll Remember\" | Jeffrey Hunt | Caroline Dries | October 2, 2014 | 2J7851 | 1.81 |\n| 113 | 2 | \"Yellow Ledbetter\" | Pascal Verschooris | Julie Plec | October 9, 2014 | 2J7852 | 1.67 |\n| 114 | 3 | \"Welcome to Paradise\" | Michael Allowitz | Brian Young | October 16, 2014 | 2J7853 | 1.83 |\n| 115 | 4 | \"Black Hole Sun\" | Kellie Cyrus | Melinda Hsu Taylor & Neil Reynolds | October 23, 2014 | 2J7854 | 1.66 |\n| 116 | 5 | \"The World Has Turned and Left Me Here\" | Leslie Libman | Brett Matthews | October 30, 2014 | 2J7855 | 1.58 |\n| 117 | 6 | \"The More You Ignore Me, the Closer I Get\" | Garreth Stover | Chad Fiveash & James Stoteraux | November 6, 2014 | 2J7856 | 1.59 |\n| 118 | 7 | \"Do You Remember the First Time?\" | Darren Genet | Rebecca Sonnenshine | November 13, 2014 | 2J7857 | 1.54 |\n| 119 | 8 | \"Fade Into You\" | Joshua Butler | Nina Fiore & John Herrera | November 20, 2014 | 2J7858 | 1.68 |\n| 120 | 9 | \"I Alone\" | Kellie Cyrus | Brian Young & Holly Brix | December 4, 2014 | 2J7859 | 1.49 |\n| 121 | 10 | \"Christmas Through Your Eyes\" | Michael Allowitz | Caroline Dries | December 11, 2014 | 2J7860 | 1.82 |\n| 122 | 11 | \"Woke Up with a Monster\" | Paul Wesley | Melinda Hsu Taylor | January 22, 2015 | 2J7861 | 1.63 |\n| 123 | 12 | \"Prayer for the Dying\" | Jeffrey Hunt | Brett Matthews & Rebecca Sonnenshine | January 29, 2015 | 2J7862 | 1.47 |\n| 124 | 13 | \"The Day I Tried to Live\" | Pascal Verschooris | Chad Fiveash & James Stoteraux | February 5, 2015 | 2J7863 | 1.61 |\n| 125 | 14 | \"Stay\" | Chris Grismer | Brian Young & Caroline Dries | February 12, 2015 | 2J7864 | 1.52 |\n| 126 | 15 | \"Let Her Go\" | Julie Plec | Julie Plec | February 19, 2015 | 2J7865 | 1.41 |\n| 127 | 16 | \"The Downward Spiral\" | Ian Somerhalder | Brian Young & Caroline Dries | March 12, 2015 | 2J7866 | 1.30 |\n| 128 | 17 | \"A Bird in a Gilded Cage\" | Joshua Butler | Neil Reynolds | March 19, 2015 | 2J7867 | 1.59 |\n| 129 | 18 | \"I Never Could Love Like That\" | Leslie Libman | Story by: Matthew D'Ambrosio Teleplay by: Chad Fiveash & James Storeaux | April 16, 2015 | 2J7868 | 1.35 |\n| 130 | 19 | \"Because\" | Geoffrey Wing Shotz | Melinda Hsu Taylor | April 23, 2015 | 2J7869 | 1.37 |\n| 131 | 20 | \"I'd Leave My Happy Home for You\" | Jesse Warn | Brett Matthews & Rebecca Sonnenshine | April 30, 2015 | 2J7870 | 1.21 |\n| 132 | 21 | \"I'll Wed You in the Golden Summertime\" | Michael Allowitz | Brian Young | May 7, 2015 | 2J7871 | 1.32 |\n| 133 | 22 | \"I'm Thinking of You All the While\" | Chris Grismer | Julie Plec & Caroline Dries | May 14, 2015 | 2J7872 | 1.44 |" + } + ] + }, + { + "id": "table_recognition_train_item_69536", + "image": "table_instructV/images/TabFact_2-18662686-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| rank | rowers | country | time | notes |\n| --- | --- | --- | --- | --- |\n| 1 | matthew wells , stephen rowbotham | great britain | 6:26.33 | sa / b |\n| 2 | ante kušurin , mario vekić | croatia | 6:27.38 | sa / b |\n| 3 | tõnu endrekson , jüri jaanson | estonia | 6:27.95 | sa / b |\n| 4 | alexander kornilov , alexey svirin | russia | 6:44.46 | r |\n| 5 | haidar nozad , hussein jebur | iraq | 7:00:46 | r |" + } + ] + }, + { + "id": "table_recognition_train_item_59324", + "image": "table_instructV/images/TabFact_2-18433620-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| date | venue | opponents | competition | match report |\n| --- | --- | --- | --- | --- |\n| 12 july 2008 | ochilview park | stenhousemuir | f | raith rovers official site |\n| 15 july 2008 | stark 's park | hibs | f | raith rovers official site |\n| 19 july 2008 | stark 's park | dundee united | f | raith rovers official site |\n| 26 july 2008 | stark 's park | rangers | f | raith rovers official site |\n| 30 july 2008 | recreation ground | burntisland shipyard | fife cup 2007 - 08 | raith rovers official site |\n| 2 august 2008 | somerset park | ayr united | second division | raith rovers official site |\n| 5 august 2008 | cliftonhill | albion rovers | slc | raith rovers official site |\n| 9 august 2008 | stark 's park | queen 's park | second division | raith rovers official site |\n| 12 august 2008 | stark 's park | ross county | scc | raith rovers official site |\n| 16 august 2008 | recreation park | alloa athletic | second division | raith rovers official site |\n| 23 august 2008 | stark 's park | stranraer | second division | raith rovers official site |\n| 26 august 2008 | stark 's park | falkirk | slc | raith rovers official site |\n| 30 august 2008 | balmoor | peterhead | second division | raith rovers official site |\n| 13 september 2008 | stark 's park | east fife | second division | raith rovers official site |\n| 20 september 2008 | stark 's park | stirling albion | second division | raith rovers official site |\n| 27 september 2008 | glebe park | brechin city | second division | raith rovers official site |\n| 4 october 2008 | gayfield park | arbroath | second division | raith rovers official site |\n| 18 october 2008 | stark 's park | ayr united | second division | raith rovers official site |\n| 25 october 2008 | stair park | stranraer | second division | raith rovers official site |\n| 1 november 2008 | stark 's park | alloa athletic | second division | raith rovers official site |\n| 8 november 2008 | bayview stadium | east fife | second division | raith rovers official site |\n| 15 november 2008 | stark 's park | peterhead | second division | raith rovers official site |\n| 22 november 2008 | stark 's park | brechin city | second division | raith rovers official site |\n| 29 november 2008 | stark 's park | alloa athletic | sc | raith rovers official site |\n| 9 december 2008 | recreation park | alloa athletic | sc | raith rovers official site |\n| 13 december 2008 | hampden park | queen 's park | second division | raith rovers official site |\n| 20 december 2008 | stark 's park | arbroath | second division | raith rovers official site |\n| 27 december 2008 | balmoor | peterhead | second division | raith rovers official site |\n| 3 january 2009 | stark 's park | east fife | second division | raith rovers official site |\n| 10 january 2009 | forthbank stadium | stirling albion | second division | raith rovers official site |\n| 17 january 2009 | stark 's park | stranraer | second division | raith rovers official site |\n| 24 january 2009 | recreation park | alloa athletic | second division | raith rovers official site |\n| 31 january 2009 | somerset park | ayr united | second division | raith rovers official site |\n| 21 february 2009 | stark 's park | stirling albion | second division | raith rovers official site |\n| 28 february 2009 | stark 's park | peterhead | second division | raith rovers official site |\n| 7 march 2009 | bayview stadium | east fife | second division | raith rovers official site |\n| 14 march 2009 | stark 's park | ayr united | second division | raith rovers official site |\n| 17 march 2009 | stark 's park | queen 's park | second division | raith rovers official site |\n| 21 march 2009 | gayfield park | arbroath | second division | raith rovers official site |\n| 24 march 2009 | glebe park | brechin city | second division | raith rovers official site |\n| 4 april 2009 | stair park | stranraer | second division | raith rovers official site |\n| 8 april 2009 | stark 's park | east fife | fife cup 2007 - 08 | raith rovers official site |\n| 11 april 2009 | stark 's park | alloa athletic | second division | raith rovers official site |\n| 18 april 2009 | forthbank stadium | stirling albion | second division | raith rovers official site |\n| 25 april 2009 | stark 's park | brechin city | second division | raith rovers official site |\n| 29 april 2009 | bayview stadium | east fife | fife cup 2008 - 09 | east fife official site |\n| 2 may 2009 | hampden park | queen 's park | second division | raith rovers official site |\n| 9 may 2009 | stark 's park | arbroath | second division | raith rovers official site |" + } + ] + }, + { + "id": "table_recognition_train_item_69540", + "image": "table_instructV/images/TabFact_2-18524998-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| date | tournament | surface | partnering | opponents in the final | score |\n| --- | --- | --- | --- | --- | --- |\n| 17 january 2004 | 10000 hyderabad | hard | meghha vakaria | rushmi chakravarthi sai - jayalakshmy jayaram | 7 - 5 , 5 - 7 , 6 - 3 |\n| 10 november 2006 | 10000 pune | hard | ksenia palkina | madura ranganathan nungnadda wannasuk | 6 - 3 , 4 - 6 , 6 - 4 |\n| 25 may 2007 | 10000 mumbai | hard | marinne giraud | ankita bhambri sanaa bhambri | 6 - 4 , 6 - 1 |\n| 13 june 2008 | 10000 gurgaon | hard | elina gasanova | ankita bhambri sanaa bhambri | 6 - 3 , 6 - 4 |\n| 22 may 2009 | 10000 mumbai | hard | rushmi chakravarthi | renee binnie chun - yan he | 2 - 6 , 6 - 3 , |\n| 11 september 2009 | 10000 bangalore | hard | poojashree venkatesha | moe kawatoko kumari - sweta solanki | 6 - 4 , 6 - 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_102029", + "image": "table_instructV/images/ToTTo_train_table_8638.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Climate data for Resolute Bay Airport, 1981–2010 normals, extremes 1947–present |\n| --- |\n| Month | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Year |\n| Record high °C (°F) | −0.8 (30.6) | −3.9 (25.0) | −2.7 (27.1) | 0.0 (32.0) | 6.1 (43.0) | 18.3 (64.9) | 20.1 (68.2) | 15.3 (59.5) | 9.4 (48.9) | 2.0 (35.6) | −2.8 (27.0) | −3.6 (25.5) | 20.1 (68.2) |\n| Average high °C (°F) | −28.6 (−19.5) | −29.0 (−20.2) | −26.8 (−16.2) | −18.3 (−0.9) | −7.4 (18.7) | 2.6 (36.7) | 7.3 (45.1) | 4.2 (39.6) | −2.0 (28.4) | −10.5 (13.1) | −19.5 (−3.1) | −24.5 (−12.1) | −12.7 (9.1) |\n| Daily mean °C (°F) | −32.0 (−25.6) | −32.4 (−26.3) | −30.2 (−22.4) | −21.8 (−7.2) | −10.3 (13.5) | 0.4 (32.7) | 4.5 (40.1) | 2.0 (35.6) | −4.1 (24.6) | −13.4 (7.9) | −22.7 (−8.9) | −27.9 (−18.2) | −15.7 (3.7) |\n| Average low °C (°F) | −35.3 (−31.5) | −35.8 (−32.4) | −33.6 (−28.5) | −25.3 (−13.5) | −13.3 (8.1) | −1.9 (28.6) | 1.7 (35.1) | −0.3 (31.5) | −6.1 (21.0) | −16.4 (2.5) | −25.9 (−14.6) | −31.3 (−24.3) | −18.6 (−1.5) |\n| Record low °C (°F) | −52.2 (−62.0) | −52.0 (−61.6) | −51.7 (−61.1) | −42.1 (−43.8) | −29.4 (−20.9) | −16.7 (1.9) | −3.1 (26.4) | −9.3 (15.3) | −20.6 (−5.1) | −37.3 (−35.1) | −42.8 (−45.0) | −46.1 (−51.0) | −52.2 (−62.0) |\n| Average precipitation mm (inches) | 4.2 (0.17) | 3.9 (0.15) | 7.4 (0.29) | 6.7 (0.26) | 8.7 (0.34) | 14.6 (0.57) | 28.1 (1.11) | 33.8 (1.33) | 22.6 (0.89) | 16.0 (0.63) | 9.6 (0.38) | 5.7 (0.22) | 161.2 (6.35) |\n| Average rainfall mm (inches) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 0.0 (0.0) | 0.5 (0.02) | 7.2 (0.28) | 23.2 (0.91) | 23.2 (0.91) | 4.8 (0.19) | 0.5 (0.02) | 0.0 (0.0) | 0.0 (0.0) | 59.5 (2.34) |\n| Average snowfall cm (inches) | 4.8 (1.9) | 4.3 (1.7) | 7.9 (3.1) | 6.8 (2.7) | 9.9 (3.9) | 7.7 (3.0) | 4.6 (1.8) | 10.9 (4.3) | 18.7 (7.4) | 18.9 (7.4) | 10.2 (4.0) | 6.6 (2.6) | 111.2 (43.8) |\n| Average precipitation days (≥ 0.2 mm) | 5.8 | 6.0 | 7.8 | 6.6 | 8.6 | 7.7 | 11.4 | 13.6 | 12.8 | 13.1 | 9.2 | 6.7 | 109.2 |\n| Average rainy days (≥ 0.2 mm) | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | 3.9 | 10.0 | 9.0 | 2.2 | 0.3 | 0.0 | 0.0 | 25.7 |\n| Average snowy days (≥ 0.2 cm) | 6.3 | 6.3 | 7.9 | 6.8 | 8.9 | 5.5 | 3.2 | 6.7 | 11.6 | 13.2 | 9.5 | 7.1 | 92.9 |\n| Average relative humidity (%) | 64.5 | 64.4 | 65.0 | 69.6 | 81.5 | 83.5 | 80.8 | 85.8 | 88.5 | 84.2 | 71.6 | 67.0 | 75.5 |\n| Mean monthly sunshine hours | 0.0 | 0.0 | 132.2 | 291.7 | 307.9 | 298.1 | 299.4 | 138.4 | 58.9 | 30.3 | 0.7 | 0.0 | 1,557.5 |\n| Percent possible sunshine | 0 | 0 | 37.2 | 53.6 | 41.4 | 41.4 | 40.2 | 20.8 | 14.0 | 12.4 | 3.8 | 0 | 29.4 |\n| Source: Environment Canada |" + } + ] + }, + { + "id": "table_recognition_train_item_33542", + "image": "table_instructV/images/TABMWP_30333.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 14 | 16 |\n| 15 | 15 |\n| 16 | 14 |" + } + ] + }, + { + "id": "table_recognition_train_item_59910", + "image": "table_instructV/images/TabFact_2-17751811-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| tie no | home team | score | away team | date |\n| --- | --- | --- | --- | --- |\n| 1 | watford | 2 - 1 | derby county | 28 january 1989 |\n| 2 | nottingham forest | 2 - 0 | leeds united | 28 january 1989 |\n| 3 | blackburn rovers | 2 - 1 | sheffield wednesday | 28 january 1989 |\n| 4 | aston villa | 0 - 1 | wimbledon | 28 january 1989 |\n| 5 | grimsby town | 1 - 1 | reading | 28 january 1989 |\n| replay | reading | 1 - 2 | grimsby town | 1 february 1989 |\n| 6 | swindon town | 0 - 0 | west ham united | 28 january 1989 |\n| replay | west ham united | 1 - 0 | swindon town | 1 february 1989 |\n| 7 | sheffield united | 3 - 3 | colchester united | 28 january 1989 |\n| replay | colchester united | 0 - 2 | sheffield united | 31 january 1989 |\n| 8 | brentford | 3 - 1 | manchester city | 28 january 1989 |\n| 9 | manchester united | 4 - 0 | oxford united | 28 january 1989 |\n| 10 | norwich city | 8 - 0 | sutton united | 28 january 1989 |\n| 11 | plymouth argyle | 1 - 1 | everton | 28 january 1989 |\n| replay | everton | 4 - 0 | plymouth argyle | 31 january 1989 |\n| 12 | bradford city | 1 - 2 | hull city | 28 january 1989 |\n| 13 | millwall | 0 - 2 | liverpool | 29 january 1989 |\n| 14 | charlton athletic | 2 - 1 | kettering town | 28 january 1989 |\n| 15 | stoke city | 3 - 3 | barnsley | 28 january 1989 |\n| replay | barnsley | 2 - 1 | stoke city | 31 january 1989 |\n| 16 | hartlepool united | 1 - 1 | bournemouth | 28 january 1989 |\n| replay | bournemouth | 5 - 2 | hartlepool united | 31 january 1989 |" + } + ] + }, + { + "id": "table_recognition_train_item_115839", + "image": "table_instructV/images/Rotowire_train_table_2262.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wizards | Washington | 106 | 30 | 17 | 36 | 23 | 20 | 45 | 13 | 42 | 90 | 37 | 1 | 5 | | | | |\n| Rockets | Houston | 114 | 23 | 33 | 28 | 30 | 28 | 37 | 18 | 52 | 83 | 46 | 4 | 3 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| John Wall | 35 | 21 | 5 | 9 | 9-16 | 56% | 1-2 | 50% | 2-2 | 100% | 2 | 6 | 0 | 1 | 4 | 2 | G | Washington |\n| Otto Porter | 39 | 20 | 8 | 2 | 6-13 | 46% | 2-5 | 40% | 6-6 | 100% | 3 | 0 | 1 | 3 | 5 | 2 | F | Washington |\n| Bradley Beal | 34 | 20 | 2 | 3 | 8-18 | 44% | 2-6 | 33% | 2-2 | 100% | 4 | 1 | 1 | 1 | 1 | 3 | G | Washington |\n| Marcin Gortat | 37 | 14 | 12 | 2 | 5-9 | 56% | 0-0 | 0% | 4-6 | 67% | 0 | 1 | 2 | 3 | 9 | 2 | C | Washington |\n| Kelly Oubre Jr. | 14 | 10 | 1 | 0 | 3-7 | 43% | 2-3 | 67% | 2-2 | 100% | 0 | 0 | 0 | 1 | 0 | 2 | N/A | Washington |\n| Marcus Thornton | 17 | 8 | 5 | 1 | 2-10 | 20% | 2-7 | 29% | 2-2 | 100% | 0 | 1 | 0 | 1 | 4 | 2 | N/A | Washington |\n| Markieff Morris | 33 | 7 | 9 | 0 | 3-14 | 21% | 1-2 | 50% | 0-0 | 0% | 1 | 2 | 0 | 4 | 5 | 1 | F | Washington |\n| Jason Smith | 11 | 4 | 2 | 0 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 1 | 1 | 1 | 2 | N/A | Washington |\n| Tomas Satoransky | 13 | 2 | 1 | 2 | 1-4 | 25% | 0-2 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 0 | 0 | N/A | Washington |\n| Trey Burke | 6 | 0 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Washington |\n| Andrew Nicholson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Daniel Ochefu | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Sheldon McClellan | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Rockets | | | | | | | | | | | | | | | | | | |\n| James Harden | 40 | 32 | 5 | 15 | 9-19 | 47% | 3-7 | 43% | 11-11 | 100% | 0 | 7 | 0 | 0 | 5 | 2 | G | Houston |\n| Ryan Anderson | 34 | 23 | 7 | 2 | 9-15 | 60% | 5-8 | 63% | 0-0 | 0% | 1 | 2 | 0 | 3 | 4 | 2 | F | Houston |\n| Trevor Ariza | 34 | 15 | 5 | 2 | 5-11 | 46% | 4-9 | 44% | 1-1 | 100% | 3 | 2 | 0 | 0 | 5 | 1 | F | Houston |\n| Clint Capela | 27 | 14 | 6 | 0 | 7-10 | 70% | 0-0 | 0% | 0-2 | 0% | 1 | 2 | 4 | 2 | 4 | 3 | C | Houston |\n| Eric Gordon | 32 | 11 | 1 | 2 | 4-10 | 40% | 3-6 | 50% | 0-0 | 0% | 1 | 2 | 1 | 0 | 1 | 1 | N/A | Houston |\n| KJ McDaniels | 14 | 5 | 1 | 1 | 2-4 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Houston |\n| Sam Dekker | 14 | 5 | 4 | 1 | 2-3 | 67% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 1 | 1 | 3 | 1 | N/A | Houston |\n| Corey Brewer | 16 | 4 | 3 | 1 | 1-2 | 50% | 0-1 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 3 | 2 | G | Houston |\n| Nene | 21 | 4 | 5 | 1 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 0 | 5 | 3 | N/A | Houston |\n| Tyler Ennis | 8 | 1 | 0 | 3 | 0-2 | 0% | 0-2 | 0% | 1-2 | 50% | 0 | 2 | 0 | 0 | 0 | 2 | N/A | Houston |\n| Montrezl Harrell | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Bobby Brown | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Kyle Wiltjer | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |" + } + ] + }, + { + "id": "table_recognition_train_item_68682", + "image": "table_instructV/images/TabFact_2-1332371-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| game | date | score | location | time | attendance |\n| --- | --- | --- | --- | --- | --- |\n| 1 | september 30 | brooklyn dodgers - 5 , new york yankees - 9 | yankee stadium (i) | 3:10 | 69734 |\n| 2 | october 1 | brooklyn dodgers - 2 , new york yankees - 4 | yankee stadium (i) | 2:42 | 66786 |\n| 3 | october 2 | new york yankees - 2 , brooklyn dodgers - 3 | ebbets field | 3:00 | 35270 |\n| 4 | october 3 | new york yankees - 3 , brooklyn dodgers - 7 | ebbets field | 2:46 | 36775 |\n| 5 | october 4 | new york yankees - 11 , brooklyn dodgers - 7 | ebbets field | 3:02 | 36775 |\n| 6 | october 5 | brooklyn dodgers - 3 , new york yankees - 4 | yankee stadium (i) | 2:55 | 62370 |" + } + ] + }, + { + "id": "table_recognition_train_item_69514", + "image": "table_instructV/images/TabFact_2-10982957-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| rank | nation | gold | silver | bronze | total |\n| --- | --- | --- | --- | --- | --- |\n| 1 | germany | 45 | 33 | 28 | 106 |\n| 2 | switzerland | 39 | 35 | 32 | 106 |\n| 3 | italy | 18 | 18 | 6 | 42 |\n| 4 | united states | 12 | 20 | 31 | 63 |\n| 5 | west germany | 11 | 13 | 12 | 36 |\n| 6 | canada | 11 | 11 | 12 | 34 |\n| 7 | east germany | 8 | 9 | 8 | 25 |\n| 8 | great britain | 7 | 6 | 4 | 17 |\n| 9 | austria | 6 | 11 | 14 | 31 |\n| 10 | russia | 2 | 5 | 4 | 11 |\n| 11 | romania | 2 | 2 | 2 | 6 |\n| 12 | latvia | 2 | 1 | 1 | 4 |\n| 13 | belgium | 1 | 1 | 1 | 3 |\n| 14 | france | 1 | 0 | 4 | 5 |\n| 15 | new zealand | 1 | 0 | 1 | 2 |\n| 16 | czechoslovakia | 0 | 2 | 0 | 2 |\n| 17 | sweden | 0 | 0 | 2 | 2 |\n| 17 | soviet union | 0 | 0 | 2 | 2 |\n| 19 | spain | 0 | 0 | 1 | 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_64406", + "image": "table_instructV/images/TabFact_2-11867642-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| date | opponent | score | loss | attendance | record |\n| --- | --- | --- | --- | --- | --- |\n| june 2 | astros | 14 - 3 | rodríguez (6 - 3) | 37086 | 30 - 24 |\n| june 3 | astros | 7 - 5 | pettitte (4 - 7) | 39653 | 31 - 24 |\n| june 4 | astros | 6 - 4 | wheeler (0 - 4) | 37532 | 32 - 24 |\n| june 5 | cardinals | 8 - 7 | isringhausen (1 - 3) | 43707 | 33 - 24 |\n| june 6 | cardinals | 7 - 0 | carpenter (4 - 3) | 43857 | 34 - 24 |\n| june 7 | cardinals | 7 - 4 | ponson (4 - 1) | 44306 | 35 - 24 |\n| june 8 | cubs | 7 - 1 | rusch (2 - 6) | 26059 | 36 - 24 |\n| june 9 | cubs | 6 - 5 | ramírez (2 - 5) | 41064 | 36 - 25 |\n| june 10 | cubs | 4 - 2 | claussen (3 - 7) | 34141 | 36 - 26 |\n| june 11 | cubs | 9 - 3 | milton (4 - 3) | 27250 | 36 - 27 |\n| june 12 | brewers | 6 - 5 | mercker (0 - 1) | 19279 | 36 - 28 |\n| june 13 | brewers | 6 - 4 | arroyo (8 - 3) | 21829 | 36 - 29 |\n| june 14 | brewers | 3 - 0 | kolb (2 - 1) | 27716 | 37 - 29 |\n| june 16 | white sox | 12 - 4 | claussen (3 - 8) | 32673 | 37 - 30 |\n| june 17 | white sox | 8 - 6 | coffey (3 - 1) | 39451 | 37 - 31 |\n| june 18 | white sox | 8 - 1 | harang (7 - 5) | 31569 | 37 - 32 |\n| june 19 | mets | 4 - 2 | hernández (4 - 6) | 41874 | 38 - 32 |\n| june 20 | mets | 9 - 2 | ramírez (2 - 6) | 38991 | 38 - 33 |\n| june 21 | mets | 6 - 5 | wagner (3 - 1) | 49758 | 39 - 33 |\n| june 22 | mets | 6 - 2 | milton (4 - 4) | 46767 | 39 - 34 |\n| june 23 | indians | 3 - 0 | westbrook (6 - 4) | 32927 | 40 - 34 |\n| june 24 | indians | 4 - 0 | arroyo (9 - 4) | 33072 | 40 - 35 |\n| june 25 | indians | 4 - 2 | sowers (0 - 1) | 33139 | 41 - 35 |\n| june 27 | royals | 9 - 8 | coffey (3 - 2) | 21420 | 41 - 36 |\n| june 28 | royals | 7 - 2 | elarton (3 - 9) | 34648 | 42 - 36 |\n| june 29 | royals | 6 - 5 | dessens (4 - 7) | 22093 | 43 - 36 |\n| june 30 | indians | 9 - 8 | wickman (1 - 4) | 34930 | 44 - 36 |" + } + ] + }, + { + "id": "table_recognition_train_item_102977", + "image": "table_instructV/images/ToTTo_train_table_12500.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 1994 | Blossom | Tanya | \"Puppy Love\", \"Dirty Rotten Scoundrel\" |\n| 1995 | Renegade | Tina Douglas | \"The Ballad of D.B. Cooper\" |\n| 1995 | Simon | Holly | \"Simon Gets Carl a Job\" |\n| 1995-1996 | Beverly Hills, 90210 | Ginger LaMonica | Recurring role |\n| 1996 | Encino Woman | Ivana | TV film |\n| 1996-1999 | Clueless | Amber Mariens | Main role |\n| 1997 | Justice League of America | Cheryl | TV film |\n| 1999 | Oh Baby | Jennifer Xavier | \"Sitting on Babies\" |\n| 1999 | Just Shoot Me! | Amber | \"Jack Gets Tough\" |\n| 2000 | Jack & Jill | Annie | \"A Key Exchange\", \"Starstruck\" |\n| 2000 | Best Actress | Lori Seefer | TV film |\n| 2000-2003 | Sabrina, the Teenage Witch | Morgan Cavanaugh | Main role (55 Episodes) |\n| 2001 | Spyder Games | Gail Sanders | \"1.43\" |\n| 2004 | Judging Amy | Shelby Crawford | \"Sins of the Father\", \"Roadhouse Blues\" |\n| 2004 | Eve's Christmas | Eve Simon | TV film |\n| 2006 | NCIS | Rebecca Kemps | \"Dead and Unburied\" |\n| 2007 | Framed for Murder | June Baldwin | TV film |\n| 2007 | It Was One of Us | Carson O'Connor | TV film |\n| 2008 | Shark Swarm | Brenda | TV film |\n| 2008 | Turbo Dates | | \"3:10 to Puma\" |\n| 2009 | Sonny with a Chance | Sharona | \"Poll'd Apart\" |\n| 2009 | The Lake | Leslie | Main role |\n| 2009 | The Dog Who Saved Christmas | Belinda Bannister | TV film |\n| 2009-2011 | In Gayle We Trust | Gayle Evans | Lead role |\n| 2010 | The Dog Who Saved Christmas Vacation | Belinda Bannister | TV film |\n| 2011 | The Dog Who Saved Halloween | Belinda Bannister | TV film |\n| 2011 | 12 Wishes of Christmas | Laura Lindsey | TV film |\n| 2012 | Whole Day Down | Nadine | Recurring role |\n| 2012 | The Dog Who Saved the Holidays | Belinda Bannister | TV film |\n| 2014 | Melissa & Joey | Darcey | \"Catch & Release\" |\n| 2014 | HOARS (Home Owner Association Regency Supreme) | Julia Roberts | \"No Mold, Parasites and Cocaine 244(b-1)\" |" + } + ] + }, + { + "id": "table_recognition_train_item_31202", + "image": "table_instructV/images/TABMWP_5154.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 10 | 0 |\n| 11 | 5 |\n| 12 | 10 |" + } + ] + }, + { + "id": "table_recognition_train_item_102474", + "image": "table_instructV/images/ToTTo_train_table_10329.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Club | Sport | Began Play | League | Venue |\n| --- | --- | --- | --- | --- |\n| Louisville Bats | Baseball | 2002 | International League | Louisville Slugger Field |\n| Derby City Rovers | Soccer | 2011 | Premier Development League | Centurion Soccer Fields |\n| Derby City Dynamite | Women's football | 2013 | Women's Football Alliance | John Hardin High School (Radcliff) |\n| Louisville City FC | Soccer | 2015 | United Soccer League | Louisville Slugger Field |" + } + ] + }, + { + "id": "table_recognition_train_item_114437", + "image": "table_instructV/images/Rotowire_train_table_1561.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Warriors | Golden State | 107 | 27 | 28 | 22 | 30 | 29 | 50 | 13 | 46 | 65 | 39 | 62 | 13 | | | | |\n| Suns | Phoenix | 106 | 22 | 22 | 27 | 35 | 25 | 47 | 11 | 47 | 65 | 26 | 38 | 38 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 34 | 28 | 8 | 5 | 10-22 | 46% | 6-11 | 55% | 2-2 | 100% | 0 | 6 | 0 | 1 | 7 | 3 | G | Golden State |\n| Klay Thompson | 32 | 16 | 3 | 6 | 6-14 | 43% | 2-7 | 29% | 2-2 | 100% | 0 | 0 | 1 | 1 | 2 | 1 | G | Golden State |\n| Marreese Speights | 18 | 12 | 6 | 0 | 6-12 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 5 | 2 | N/A | Golden State |\n| James Michael McAdoo | 22 | 8 | 8 | 0 | 3-5 | 60% | 0-0 | 0% | 2-5 | 40% | 1 | 0 | 1 | 2 | 6 | 3 | N/A | Golden State |\n| Shaun Livingston | 18 | 8 | 3 | 3 | 3-6 | 50% | 0-0 | 0% | 2-3 | 67% | 0 | 0 | 0 | 1 | 2 | 1 | N/A | Golden State |\n| Andrew Bogut | 23 | 8 | 9 | 3 | 4-7 | 57% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 2 | 6 | 3 | 1 | C | Golden State |\n| David Lee | 21 | 7 | 6 | 1 | 3-7 | 43% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 2 | 4 | 2 | F | Golden State |\n| Andre Iguodala | 27 | 7 | 2 | 5 | 2-4 | 50% | 1-2 | 50% | 2-2 | 100% | 1 | 4 | 1 | 0 | 2 | 2 | N/A | Golden State |\n| Leandro Barbosa | 16 | 5 | 1 | 3 | 2-5 | 40% | 1-3 | 33% | 0-1 | 0% | 2 | 0 | 0 | 0 | 1 | 2 | N/A | Golden State |\n| Harrison Barnes | 24 | 4 | 3 | 3 | 2-8 | 25% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 2 | F | Golden State |\n| Justin Holiday | 3 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Golden State |\n| Festus Ezeli | 3 | 2 | 1 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Golden State |\n| Brandon Rush | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Suns | | | | | | | | | | | | | | | | | | |\n| Eric Bledsoe | 40 | 18 | 6 | 11 | 6-17 | 35% | 2-5 | 40% | 4-5 | 80% | 1 | 2 | 1 | 1 | 5 | 3 | G | Phoenix |\n| Markieff Morris | 33 | 17 | 12 | 5 | 7-10 | 70% | 1-1 | 100% | 2-3 | 67% | 0 | 4 | 0 | 1 | 11 | 5 | F | Phoenix |\n| TJ Warren | 28 | 17 | 5 | 2 | 8-12 | 67% | 0-2 | 0% | 1-1 | 100% | 0 | 0 | 0 | 0 | 5 | 0 | N/A | Phoenix |\n| Brandan Wright | 28 | 16 | 12 | 0 | 6-12 | 50% | 0-0 | 0% | 4-6 | 67% | 2 | 3 | 2 | 5 | 7 | 0 | C | Phoenix |\n| PJ Tucker | 37 | 14 | 4 | 4 | 4-9 | 44% | 1-1 | 100% | 5-6 | 83% | 2 | 1 | 0 | 1 | 3 | 0 | G | Phoenix |\n| Marcus Morris | 26 | 10 | 4 | 1 | 5-14 | 36% | 0-4 | 0% | 0-1 | 0% | 0 | 1 | 0 | 1 | 3 | 2 | F | Phoenix |\n| Gerald Green | 9 | 7 | 2 | 0 | 3-7 | 43% | 1-4 | 25% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Phoenix |\n| Archie Goodwin | 20 | 4 | 0 | 1 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 3 | N/A | Phoenix |\n| Jerel McNeal | 3 | 2 | 0 | 0 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Phoenix |\n| Reggie Bullock | 13 | 1 | 1 | 1 | 0-2 | 0% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Phoenix |\n| Earl Barron | 3 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-2 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Phoenix |\n| Alex Len | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Marcus Thornton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |" + } + ] + }, + { + "id": "table_recognition_train_item_101985", + "image": "table_instructV/images/ToTTo_train_table_8440.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Year | Title | Role |\n| --- | --- | --- |\n| 2005 | Sky High | Magenta |\n| 2006 | Simon Says | Ashley |\n| 2007 | Eye of the Dolphin | Michelle |\n| 2007 | Teenius | Iris |\n| 2007 | Nancy Drew | Trish |\n| 2008 | The Temerity of Zim | Danielle |\n| 2010 | Leonie | Ailes Gilmour |" + } + ] + }, + { + "id": "table_recognition_train_item_102795", + "image": "table_instructV/images/ToTTo_train_table_11693.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Date | Opponent | Venue | Result | Attendance | Notes |\n| --- | --- | --- | --- | --- | --- |\n| Wednesday 25 October 2000 | Hull Thunder | Away | Drawn 4–4 | | Semi-final 1st Leg |\n| Tuesday 31 October 2000 | Hull Thunder | Home | Won 4–2 | | Semi-final 2nd Leg (Guildford win 8–6 on agg) |\n| Saturday 9 December 2000 | Basingstoke Bison | Sheffield Arena | Lost 3–2 | 6,000 | Final |" + } + ] + }, + { + "id": "table_recognition_train_item_102679", + "image": "table_instructV/images/ToTTo_train_table_11175.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| 2 October 2011 7 | Espanyol | 0–4 | Real Madrid | Cornellà de Llobregat |\n| --- | --- | --- | --- | --- |\n| 22:00 CEST (UTC+02:00) | Bifouma 24' López 29' Romaric 31' Weiss 80' | Report | Higuaín 17', 66', 89' Diarra 50' Callejón 82' | Stadium: Estadi Cornellà-El Prat Attendance: 34,423 Referee: Fernando Teixeira Vitienes (Cantabria) Man of the Match: Higuaín, Ronaldo |" + } + ] + }, + { + "id": "table_recognition_train_item_31849", + "image": "table_instructV/images/TABMWP_11767.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| | Mint | Fruity |\n| --- | --- | --- |\n| Caffeine-free | 3 | 3 |\n| Caffeinated | 2 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_48986", + "image": "table_instructV/images/TAT-QA_bbfba383-b744-404d-b59e-0563f67d5c26.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | Credit Rating | Authorised Limit | Group Exposure 31 December 2019 | Credit Rating | Authorised Limit | Group Exposure 31 December 2018 |\n| --- | --- | --- | --- | --- | --- | --- |\n| | | £m | £m | | £m | £m |\n| Counterparty #1 | AA- | 125.0 | 64.9 | AA- | 125.0 | 111.9 |\n| Counterparty #2 | AAA | 150.0 | 43.1 | A+ | 100.0 | 44.1 |\n| Counterparty #3 | A+ | 100.0 | 38.7 | A | 100.0 | 27.2 |\n| Counterparty #4 | A | 100.0 | 26.0 | AAA | 150.0 | 22.3 |\n| Counterparty #5 | A | 75.0 | 20.0 | AAA | 150.0 | 12.3 |\n| Sum of five largest exposures | | | 192.7 | | | 217.8 |\n| Sum of cash deposits and derivative financial instrument assets | | | 203.5 | | | 244.2 |\n| Five largest exposures as a percentage of assets at risk | | | 95% | | | 89% |" + } + ] + }, + { + "id": "table_recognition_train_item_58680", + "image": "table_instructV/images/TabFact_2-15859432-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| name | date of birth | height | weight | spike |\n| --- | --- | --- | --- | --- |\n| luigi mastrangelo | 17.08.1975 | 202 | 90 | 368 |\n| valerio vermiglio | 01.03.1976 | 190 | 83 | 342 |\n| samuele papi | 20.05.1973 | 190 | 84 | 345 |\n| andrea sartoretti | 19.06.1971 | 194 | 88 | 353 |\n| alberto cisolla | 10.10.1977 | 197 | 86 | 367 |\n| venceslav simeonov | 03.02.1977 | 199 | 10 | 356 |\n| damiano pippi | 23.08.1971 | 193 | 84 | 323 |\n| andrea giani | 22.04.1970 | 196 | 97 | 356 |\n| alessandro fei | 29.11.1978 | 204 | 90 | 352 |\n| paolo tofoli | 14.08.1966 | 188 | 81 | 345 |\n| paolo cozzi | 26.05.1980 | 200 | 86 | 363 |\n| matej černič | 13.09.1978 | 192 | 80 | 354 |" + } + ] + }, + { + "id": "table_recognition_train_item_54872", + "image": "table_instructV/images/TabFact_1-22347090-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| no in series | no in season | title | directed by | written by | original air date | production code | us viewers (million) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 34 | 1 | hats and bats | christopher chulack | jonathan lisco | february 13 , 2013 | 3x7551 | 1.16 |\n| 35 | 2 | heat | daniel sackheim | heather zuhlke | february 20 , 2013 | 3x7552 | 1.21 |\n| 36 | 3 | babel | j michael muro | aaron rahsaan thomas | february 27 , 2013 | 3x7553 | 1.18 |\n| 37 | 4 | under the big top | felix alcalã¡ | sara gran | march 6 , 2013 | 3x7554 | 1.51 |\n| 38 | 5 | off duty | regina king | zack whedon | march 13 , 2013 | 3x7555 | 1.72 |\n| 39 | 6 | bleed out | christopher chulack | chad feehan | march 20 , 2013 | 3x7556 | 1.45 |\n| 40 | 7 | heroes | j michael muro | heather zuhlke | march 27 , 2013 | 3x7557 | 1.32 |\n| 41 | 8 | the felix paradox | stephen cragg | aaron rahsaan thomas | april 3 , 2013 | 3x7558 | 1.46 |\n| 42 | 9 | chaos | christopher chulack | zack whedon | april 10 , 2013 | 3x7559 | 1.59 |" + } + ] + }, + { + "id": "table_recognition_train_item_33164", + "image": "table_instructV/images/TABMWP_26569.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $380 | 20,700 | 6,800 |\n| $520 | 16,900 | 7,600 |\n| $660 | 13,100 | 8,400 |\n| $800 | 9,300 | 9,200 |\n| $940 | 5,500 | 10,000 |" + } + ] + }, + { + "id": "table_recognition_train_item_32254", + "image": "table_instructV/images/TABMWP_15969.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Number of trays | Number of apple fritters |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_100224", + "image": "table_instructV/images/ToTTo_train_table_885.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Pos | No. | Name | Lap 1 (mph) | Lap 2 (mph) | Lap 3 (mph) | Lap 4 (mph) | Average Speed (mph) | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 26 | 42 | United States Tony Bettenhausen (R) | 123.882 | 122.018 | 123.476 | 122.017 | 123.094 | |\n| 27 | 4 | United States Mel Hansen | 121.098 | 121.163 | 121.000 | 122.482 | 121.431 | |\n| 28 | 52 | Italy Luigi Villoresi (R) | 121.441 | 120.530 | 121.147 | 121.885 | 121.249 | |\n| 29 | 7 | United States Frank Wearne | 121.771 | 120.627 | 121.179 | 121.355 | 121.233 | |\n| 30 | 38 | United States George Connor | 120.160 | 119.713 | 120.401 | 119.475 | 120.004 | |\n| 31 | 17 | United States Billy Devore | 120.514 | 120.064 | 119.760 | 119.174 | 119.876 | |\n| 32 | 54 | United States Duke Nalon | 118.202 | 119.506 | 120.401 | 120.838 | 119.682 | |\n| 33 | 59 | United States Danny Kladis (R) | 118.825 | 118.969 | 119.079 | 118.687 | 118.890 | |\n| — | x | United States Charles Van Acker (R) | 114.899 | 116.445 | 115.652 | 115.681 | 115.666 | Bumped |\n| — | x | United States Steve Truchan (R) | | | | | Incomplete | Pulled in after three laps |\n| — | x | United States Freddy Winnai | | | | | Incomplete | Car quit |" + } + ] + }, + { + "id": "table_recognition_train_item_107882", + "image": "table_instructV/images/ToTTo_train_table_33061.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Port | Region | Country (and subdivision) | Body of water | Coordinates | Features and notes |\n| --- | --- | --- | --- | --- | --- |\n| Acajutla | Central America | El Salvador, Sonsonate | | 13°35′24″N 89°50′02″W / 13.59°N 89.834°W | |\n| Corinto | Central America | Nicaragua | | 12°28′59″N 87°10′59″W / 12.483°N 87.183°W | |\n| La Libertad | Central America | El Salvador, La Libertad | | | |\n| La Unión | Central America | El Salvador | Gulf of Fonseca | | |\n| Panama City | Central America | Panama | Gulf of Panama | 8°58′01″N 79°33′00″W / 8.967°N 79.55°W | Panama Canal |\n| Balboa | Central America | Panama | Gulf of Panama | | Panama Canal |\n| Caldera, Puntarenas | Central America | Costa Rica | | 9°58′01″N 84°49′59″W / 9.967°N 84.833°W | |\n| San Lorenzo | Central America | Honduras | | | |\n| San José | Central America | Guatemala | | | |\n| Champerico | Central America | Guatemala | | | |\n| Golfito | Central America | Costa Rica | | 8°39′N 83°09′W / 8.65°N 83.15°W | |\n| Acapulco | North America | Mexico, Guerrero | | | |\n| Anchorage | North America | United States, Alaska | Gulf of Alaska, Cook Inlet, Knik Arm | 61°14′17″N 149°53′42″W / 61.238°N 149.895°W | US rank: 89 |\n| Cabo San Lucas | North America | Mexico, Baja California Sur | | | |\n| Long Beach | North America | United States, California | San Pedro Bay | 33°44′N 118°13′W / 33.74°N 118.21°W | US rank: 5 |\n| Los Angeles | North America | United States, California | San Pedro Bay | 33°46′37″N 118°14′28″W / 33.777°N 118.241°W | US rank: 9 |\n| Mazatlán | North America | Mexico, Sinaloa | | | |\n| Oakland | North America | United States, California | San Francisco Bay | 37°49′19″N 122°18′29″W / 37.822°N 122.308°W | US rank: 35 |\n| Portland | North America | United States, Oregon | Columbia River | 45°28′44″N 122°39′54″W / 45.479°N 122.665°W | US rank: 28 |\n| San Diego | North America | United States, California | San Diego Bay | 32°42′29″N 117°10′41″W / 32.708°N 117.178°W | US rank: 124 |\n| San Francisco | North America | United States, California | San Francisco Bay | 37°48′25″N 122°23′56″W / 37.807°N 122.399°W | US rank: 138 |\n| Port of Seattle | North America | United States, Washington | Puget Sound, Central Basin, Elliott Bay | 47°35′17″N 122°21′32″W / 47.588°N 122.359°W | US rank: 26 |\n| Port of Tacoma | North America | United States, Washington | Puget Sound, Central Basin, Commencement Bay | 47°17′24″N 122°27′07″W / 47.29°N 122.452°W | US rank: 30 |\n| Tijuana | North America | Mexico, Baja California | | | |\n| Valdez | North America | United States, Alaska | Gulf of Alaska, Prince William Sound, Valdez Arm, Port Valdez | 61°07′30″N 146°20′46″W / 61.125°N 146.346°W | Valdez oil terminal, US rank: 23 |\n| Nikiski | North America | United States, Alaska | Gulf of Alaska, Cook Inlet | 60°44′53″N 151°18′50″W / 60.748°N 151.314°W | US rank: 71 |\n| Juneau | North America | United States, Alaska | Gulf of Alaska, Gastineau Channel | 58°21′04″N 134°30′43″W / 58.351°N 134.512°W | |\n| Ketchikan | North America | United States, Alaska | Gulf of Alaska, Tongass Narrows | 55°20′53″N 131°39′50″W / 55.348°N 131.664°W | [1] |\n| Port of Prince Rupert | North America | Canada, British Columbia | | 54°18′43″N 130°19′37″W / 54.312°N 130.327°W | CA rank: 12 |\n| Kitimat | North America | Canada, British Columbia | Douglas Channel | | |\n| Coal Harbour | North America | Canada, British Columbia | Burrard Inlet | 49°17′31″N 123°07′37″W / 49.292°N 123.127°W | (Merged with Port Metro Vancouver) |\n| Vancouver | North America | Canada, British Columbia | Strait of Georgia (including facilities on Burrard Inlet and Fraser River) | 49°16′37″N 123°07′16″W / 49.277°N 123.121°W | CA rank: 1 |\n| Port Alberni | North America | Canada, British Columbia | Alberni Inlet | 49°14′02″N 124°48′18″W / 49.234°N 124.805°W | CA rank: 19 |\n| Fraser River Port | North America | Canada, British Columbia, New Westminster | | 49°12′25″N 122°54′40″W / 49.207°N 122.911°W | (Merged with Port Metro Vancouver) CA rank: 7 |\n| Nanaimo | North America | Canada, British Columbia | Strait of Georgia | 49°10′59″N 123°58′59″W / 49.183°N 123.983°W | CA rank: 14 [2] |\n| North Fraser | North America | Canada, British Columbia | | 49°10′01″N 123°07′59″W / 49.167°N 123.133°W | (Merged with Port Metro Vancouver) CA rank: 10 |\n| Roberts Bank Superport | North America | Canada, British Columbia | Strait of Georgia | 49°01′08″N 123°09′36″W / 49.019°N 123.16°W | (Merged with Port Metro Vancouver) |\n| Victoria | North America | Canada, British Columbia | Strait of Juan de Fuca | | |\n| Port Hueneme | North America | United States, California | Santa Barbara Channel | 33°46′37″N 118°14′28″W / 33.777°N 118.241°W | US rank: 9 |\n| Port of Longview | North America | United States, Washington | Columbia River | 46°04′N 122°34′W / 46.06°N 122.57°W | US rank: 62 |\n| Port of Redwood City | North America | United States, California | San Francisco Bay | 37°30′18″N 122°12′50″W / 37.505°N 122.214°W | US rank: 134 |\n| Richmond | North America | United States, California | San Francisco Bay | 37°55′26″N 122°22′26″W / 37.924°N 122.374°W | US rank: 29 |\n| Vallejo | North America | United States, California | San Francisco Bay, San Pablo Bay | 38°06′47″N 122°14′10″W / 38.113°N 122.236°W | |\n| Stockton | North America | United States, California | San Francisco Bay | | |\n| Pittsburg | North America | United States, California | San Francisco Bay | | |\n| Sacramento | North America | United States, California | Sacramento River | | |\n| Nome | North America | United States, Alaska | Bering Sea | | |\n| Port of Pichilingue/La Paz | North America | Mexico | Gulf of California | | UNESCO Whale Sanctuary and Bio-Reserve |\n| Port of Bellingham | North America | United States, Washington | Strait of Georgia, Bellingham Bay | 48°45′00″N 122°28′30″W / 48.75°N 122.475°W | |\n| Port of Everett | North America | United States, Washington | Puget Sound, Whidbey Basin, Possession Sound | 47°59′06″N 122°13′44″W / 47.985°N 122.229°W | US rank: 122 |\n| Fraser River Docks | North America | Canada, British Columbia, Surrey | Fraser River | | |\n| Port Coquitlam | North America | Canada, British Columbia | Fraser River and Pitt River | | |\n| Anacortes | North America | United States, Washington | Fidalgo Bay | 48°29′46″N 122°36′00″W / 48.496°N 122.6°W | US rank: 55 |\n| Port Angeles | North America | United States, Washington | Port Angeles | 48°07′52″N 123°27′11″W / 48.131°N 123.453°W | [3] US rank: 148 |\n| Bremerton | North America | United States, Washington | Puget Sound, Central Basin, Sinclair Inlet | 47°34′12″N 122°39′11″W / 47.57°N 122.653°W | |\n| Olympia | North America | United States, Washington | Puget Sound, South Basin, Budd Inlet | 47°04′05″N 122°54′32″W / 47.068°N 122.909°W | [4] US rank: 126 |\n| Port of Grays Harbor, Aberdeen, Grays Harbor County | North America | United States, Washington | Grays Harbor | 46°54′14″N 124°10′34″W / 46.904°N 124.176°W | [5] US rank: 112 |\n| Kalama | North America | United States, Washington | Columbia River | 46°01′12″N 122°51′47″W / 46.02°N 122.863°W | [6] US rank: 44 |\n| Port of Vancouver USA | North America | United States, Washington | Columbia River | 45°37′19″N 122°40′52″W / 45.622°N 122.681°W | US rank: 56 |\n| Astoria | North America | United States, Oregon | Columbia River | 46°11′20″N 123°49′16″W / 46.189°N 123.821°W | [7] |\n| Coos Bay | North America | United States, Oregon | Coos Bay | 43°21′50″N 124°12′36″W / 43.364°N 124.21°W | US rank: 115 |\n| Humboldt Bay Harbor Recreation & Conservation District | North America | United States, California | Humboldt Bay | 40°47′24″N 124°09′47″W / 40.79°N 124.163°W | Includes the Port of Eureka (in Eureka, California) and Port of Humboldt Bay in the surrounding county. |\n| Ensenada | North America | Mexico, Baja California | Bahía de Todos Santos | 31°46′59″N 116°36′00″W / 31.783°N 116.6°W | Ranks 5th in Mexico (35th in North America) |\n| Guaymas | North America | Mexico, Sonora | Gulf of California | | [8] |\n| Topolobampo | North America | Mexico, Sinaloa | Gulf of California | | [9] |\n| Puerto Vallarta | North America | Mexico, Jalisco | Bahía de Banderas | 20°40′01″N 105°49′59″W / 20.667°N 105.833°W | [10] |\n| Manzanillo | North America | Mexico, Colima | | 18°55′N 103°53′W / 18.92°N 103.88°W | [11] Ranks 1st in Mexico (14th in North America) |\n| Lázaro Cárdenas | North America | Mexico, Michoacán | | | [12] Ranks 4th in Mexico (32nd in North America) |\n| Salina Cruz | North America | Mexico, Oaxaca | Gulf of Tehuantepec | | [13] |\n| Puerto Chiapas | North America | Mexico, Chiapas | | 14°43′01″N 92°25′01″W / 14.717°N 92.417°W | [14] In the neighborhood of Puerto Madero a.k.a. Puerto San Benito, in the municipality of Tapachula |\n| Antofagasta | South America | Chile | | | |\n| Arica | South America | Chile | | | |\n| Buenaventura | South America | Colombia, Valle del Cauca | | | |\n| Callao | South America | Peru | | | |\n| Chimbote | South America | Peru | | | |\n| Esmeraldas | South America | Ecuador | | | |\n| Guayaquil | South America | Ecuador | | | |\n| Ilo | South America | Peru | | | |\n| Iquique | South America | Chile | | | |\n| Manta | South America | Ecuador | | | |\n| Matarani | South America | Peru | | | |\n| Paita | South America | Peru | | | |\n| Pisco | South America | Peru | | | |\n| Puerto Bolívar | South America | Ecuador | | | |\n| Puerto Chacabuco | South America | Chile | | | |\n| Puerto Montt | South America | Chile | | | |\n| Salaverry | South America | Peru | | | |\n| San Antonio | South America | Chile | | | |\n| Talcahuano | South America | Chile | | | |\n| Tumaco | South America | Colombia, Nariño | | | |\n| Valparaíso | South America | Chile | | | |\n| Coquimbo | South America | Chile | South Pacific | | |\n| Puerto Williams | South America | Chile | Beagle Channel | | |\n| Punta Arenas | South America | Chile | Strait of Magellan | | |\n| Ushuaia | South America | Argentina | Beagle Channel | | |\n| Auckland | Oceania | New Zealand | | | |\n| Bluff | Oceania | New Zealand | | | |\n| Brisbane | Oceania | Australia, Queensland | Coral Sea | | |\n| Dunedin | Oceania | New Zealand | | | |\n| Honolulu | Oceania | United States, Hawaii | | | |\n| Lyttelton | Oceania | New Zealand | | | |\n| Melbourne | Oceania | Australia, Victoria | Port Phillip | | |\n| Napier | Oceania | New Zealand | | | |\n| Newcastle | Oceania | Australia, New South Wales | Tasman Sea | | |\n| Pearl Harbor | Oceania | United States, Hawaii | | | |\n| Port Jackson (Sydney) | Oceania | Australia, New South Wales | Tasman Sea | | |\n| Tauranga | Oceania | New Zealand | | | |\n| Wellington | Oceania | New Zealand | Wellington Harbour | | |\n| Wollongong | Oceania | Australia, New South Wales | Tasman Sea | | |\n| Hobart | Oceania | Australia, Tasmania | Tasman Sea | | |\n| Botany Bay (Port Botany) | Oceania | Australia, New South Wales | Tasman Sea | | |\n| Port Kembla | Oceania | Australia, New South Wales | Tasman Sea | | |\n| Darwin | Oceania | Australia, Northern Territory | Arafura Sea | | |\n| Weipa | Oceania | Australia, Queensland | Gulf of Carpentaria | | |\n| Bundaberg | Oceania | Australia, Queensland | Coral Sea | | |\n| Gladstone | Oceania | Australia, Queensland | Coral Sea | | |\n| Hay Point | Oceania | Australia, Queensland | Coral Sea | | |\n| Townsville | Oceania | Australia, Queensland | Coral Sea | | |\n| Port Moresby | Oceania | Papua New Guinea | Coral Sea | | |\n| Port Chalmers | Oceania | New Zealand | | | |\n| Timaru | Oceania | New Zealand | | | |\n| Nelson | Oceania | New Zealand | Tasman Sea | | |\n| New Plymouth | Oceania | New Zealand | Tasman Sea | | |\n| Bacolod | Southeast Asia | Philippines, Negros | Guimaras Strait | | |\n| Bangkok | Southeast Asia | Thailand | Gulf of Thailand | | |\n| Batangas City | Southeast Asia | Philippines, Batangas | Mindoro Strait | | |\n| Chân Mây | Southeast Asia | Vietnam | South China Sea | | |\n| Da Nang | Southeast Asia | Vietnam | South China Sea | | |\n| Davao | Southeast Asia | Philippines | Davao Gulf | | |\n| General Santos | Southeast Asia | Philippines | Celebes Sea | | |\n| Haiphong | Southeast Asia | Vietnam | South China Sea | | |\n| Iloilo | Southeast Asia | Philippines | Iloilo Strait | | |\n| Depapre | Southeast Asia | Indonesia, Papua | | | |\n| Kuantan | Southeast Asia | Malaysia, Pahang | South China Sea | | |\n| Legazpi City | Southeast Asia | Philippines, Albay | Philippine Sea | | |\n| Laem Chabang | Southeast Asia | Thailand | Gulf of Thailand | | |\n| Manila | Southeast Asia | Philippines | Manila Bay | | Manila North Harbor Manila South Harbor |\n| Quy Nhơn | Southeast Asia | Vietnam | South China Sea | | |\n| Sabah Ports Authority | Southeast Asia | Malaysia, Sabah | South China Sea | | Kota Kinabalu Port Sepanggar Bay Container Port Sandakan Port Tawau Port Kudat Port Kunak Port Lahad Datu Port |\n| Ho Chi Minh City - Saigon Port | Southeast Asia | Vietnam | South China Sea | | |\n| Singapore | Southeast Asia | Singapore | Singapore Strait | | |\n| Songkhla | Southeast Asia | Thailand | Gulf of Thailand | | |\n| Subic | Southeast Asia | Philippines | South China Sea | | Alava Wharf Rivera Wharf Olongapo Port (Former Naval Supply Depot) Boton Wharf Hanjin Subic Shipyard Keppel Subic Shipyard Subic Dock Subic Bay Yacht Club |\n| Thị Nại | Southeast Asia | Vietnam | South China Sea | | |\n| Vân Phong | Southeast Asia | Vietnam | South China Sea | | |\n| Vũng Tàu | Southeast Asia | Vietnam | South China Sea | | |\n| Zamboanga | Southeast Asia | Philippines | Basilan Strait | | |\n| Aurora | Southeast Asia | Philippines | Philippine Sea | | |\n| Cagayan Freeport | Southeast Asia | Philippines | Luzon Sea | | |\n| Surigao | Southeast Asia | Philippines | Philippine Sea | | |\n| Tabaco | Southeast Asia | Philippines | Philippine Sea | | |\n| Piso Point Port | Southeast Asia | Philippines | Davao Gulf | | |\n| Puerto Princesa | Southeast Asia | Philippines | Sulu Sea | | |\n| Muara | Southeast Asia | Brunei | South China Sea | | |\n| Cam Ranh | Southeast Asia | Vietnam | South China Sea | | |\n| Kemaman Port | Southeast Asia | Malaysia, Terengganu | South China Sea | | |\n| Menumbok Jetty | Southeast Asia | Malaysia, Sabah, Kuala Penyu | South China Sea | | |\n| Labuan | Southeast Asia | Malaysia | South China Sea | | |\n| Kuching Port | Southeast Asia | Malaysia, Sarawak | South China Sea | | |\n| Miri Port | Southeast Asia | Malaysia, Sarawak | South China Sea | | |\n| Rajang Port | Southeast Asia | Malaysia, Sarawak, Sibu | South China Sea | | |\n| Bintulu Port | Southeast Asia | Malaysia, Sarawak | South China Sea | | |\n| Sihanoukville Autonomous Port | Southeast Asia | Cambodia | Gulf of Thailand | | |\n| Cagayan de Oro City | Southeast Asia | Philippines | Visayan Sea | | |\n| Cebu City | Southeast Asia | Philippines | Visayan Sea | | |\n| Busan | East Asia | South Korea | Sea of Japan | | |\n| Chongjin | East Asia | North Korea | Sea of Japan | | |\n| Dalian | East Asia | China | Korea Bay | | |\n| Guangzhou | East Asia | China, Guangdong | Pearl River | | |\n| Hakodate | East Asia | Japan | Tsugaru Strait | | |\n| Hong Kong | East Asia | Hong Kong | South China Sea | | Includes Kwai Tsing Container Terminals and River Trade Terminal at Tuen Mun |\n| Hualien | East Asia | Taiwan | | | |\n| Incheon | East Asia | South Korea | Yellow Sea | | |\n| Kaohsiung | East Asia | Taiwan | South China Sea | | |\n| Keelung | East Asia | Taiwan | East China Sea | | |\n| Kobe | East Asia | Japan | Osaka Bay | | |\n| Nagoya | East Asia | Japan | | | |\n| Nampo | East Asia | North Korea | Korea Bay | | |\n| Ningbo | East Asia | China | East China Sea | | |\n| Osaka | East Asia | Japan | Osaka Bay | | |\n| Pyeongtaek | East Asia | South Korea | Yellow Sea | | |\n| Qinhuangdao | East Asia | China | Yellow Sea, Korea Bay, Bohai Sea | | |\n| Qingdao | East Asia | China | Yellow Sea | | |\n| Shanghai | East Asia | China | Korea Bay, Yangtze River | | |\n| Shenzhen | East Asia | China | South China Sea | | Facilities in Da Chan Bay, Shekou Industrial Zone, Chiwan, Mawan, Yantian District, Dongjiaotou, Fuyong, Xiadong, Shayuchong and Neihe |\n| Suzhou | East Asia | China | East China Sea | | |\n| Taichung | East Asia | Taiwan | South China Sea | | |\n| Tianjin | East Asia | China | Yellow Sea | | |\n| Taipei | East Asia | Taiwan | South China Sea | | |\n| Tokyo | East Asia | Japan | Tokyo Bay | | |\n| Tsuruga | East Asia | Japan | Sea of Japan | | |\n| Wonsan | East Asia | North Korea | Sea of Japan | | |\n| Xiamen | East Asia | China | Taiwan Strait | | |\n| Yantai | East Asia | China | Yellow Sea | | |\n| Yingkou | East Asia | China | Yellow Sea, Korea Bay, Bohai Sea | | |\n| Yokohama | East Asia | Japan | Tokyo Bay | | Kanagawa Port |\n| Yokosuka | East Asia | Japan | Tokyo Bay | | |\n| Zhuhai | East Asia | China | Pearl River Delta | | |\n| Sinǔiju | East Asia | North Korea | Yellow Sea, Korea Bay | | |\n| Rason | East Asia | North Korea | Sea of Japan | | |\n| Hungnam | East Asia | North Korea | Sea of Japan | | |\n| Gangneung | East Asia | South Korea | Sea of Japan | | |\n| Haenam | East Asia | South Korea | Yellow Sea | | |\n| Dongying | East Asia | China | Yellow Sea, Korea Bay, Bohai Sea | | |\n| Jinzhou | East Asia | China | Yellow Sea, Korea Bay, Bohai Sea | | |\n| Hangu | East Asia | China, Tianjin | Yellow Sea, Korea Bay, Bohai Sea | | |\n| Lushun/Lushunkou | East Asia | China | Yellow Sea, Korea Bay | | |\n| Chongqing | East Asia | China | East China Sea, Yangtze River | | |\n| Wuhan | East Asia | China | East China Sea, Yangtze River | | |\n| Rizhao | East Asia | China | Yellow Sea | | |\n| Weihai | East Asia | China | Yellow Sea | | |\n| Vladivostok | North Asia | Russia | Sea of Japan | | |\n| Nakhodka | North Asia | Russia | Sea of Japan | | |\n| Vostochny | North Asia | Russia | Sea of Japan | | |" + } + ] + }, + { + "id": "table_recognition_train_item_112175", + "image": "table_instructV/images/Rotowire_train_table_430.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pacers | Indiana | 96 | 27 | 31 | 26 | 12 | 20 | 44 | 11 | 43 | 88 | 16 | 39 | 35 | | | | |\n| Bulls | Chicago | 98 | 28 | 32 | 24 | 14 | 22 | 41 | 15 | 43 | 88 | 39 | 37 | 37 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| Paul George | 37 | 20 | 9 | 5 | 7-16 | 44% | 2-7 | 29% | 4-4 | 100% | 4 | 3 | 1 | 1 | 8 | 2 | F | Indiana |\n| Ian Mahinmi | 29 | 18 | 7 | 1 | 9-12 | 75% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 2 | 3 | 4 | 2 | C | Indiana |\n| Lavoy Allen | 17 | 9 | 6 | 0 | 4-6 | 67% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 0 | 3 | 3 | 2 | N/A | Indiana |\n| Monta Ellis | 32 | 8 | 5 | 4 | 3-12 | 25% | 0-2 | 0% | 2-2 | 100% | 3 | 1 | 1 | 1 | 4 | 1 | G | Indiana |\n| Ty Lawson | 17 | 8 | 1 | 3 | 4-7 | 57% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 0 | N/A | Indiana |\n| CJ Miles | 12 | 7 | 1 | 1 | 2-7 | 29% | 1-4 | 25% | 2-3 | 67% | 0 | 0 | 1 | 1 | 0 | 0 | N/A | Indiana |\n| Jordan Hill | 7 | 6 | 2 | 0 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 2 | 0 | 0 | N/A | Indiana |\n| Myles Turner | 16 | 6 | 5 | 0 | 3-8 | 38% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 1 | 4 | 5 | F | Indiana |\n| George Hill | 32 | 6 | 3 | 4 | 3-6 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 0 | G | Indiana |\n| Rodney Stuckey | 17 | 4 | 2 | 2 | 1-5 | 20% | 0-1 | 0% | 2-2 | 100% | 1 | 1 | 0 | 0 | 2 | 3 | N/A | Indiana |\n| Solomon Hill | 27 | 4 | 3 | 0 | 0-6 | 0% | 0-3 | 0% | 4-4 | 100% | 0 | 1 | 0 | 1 | 2 | 1 | N/A | Indiana |\n| Glenn Robinson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Joe Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Nikola Mirotic | 37 | 28 | 10 | 2 | 9-18 | 50% | 7-13 | 54% | 3-3 | 100% | 1 | 4 | 0 | 2 | 8 | 3 | N/A | Chicago |\n| Jimmy Butler | 36 | 14 | 4 | 3 | 6-10 | 60% | 0-2 | 0% | 2-2 | 100% | 2 | 1 | 0 | 1 | 3 | 4 | G | Chicago |\n| Pau Gasol | 33 | 10 | 11 | 7 | 4-13 | 31% | 0-1 | 0% | 2-3 | 67% | 0 | 7 | 4 | 3 | 8 | 2 | C | Chicago |\n| Bobby Portis | 10 | 9 | 1 | 0 | 3-3 | 100% | 0-0 | 0% | 3-3 | 100% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Chicago |\n| Derrick Rose | 29 | 8 | 1 | 4 | 4-15 | 27% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | G | Chicago |\n| Cristiano Felicio | 7 | 8 | 5 | 0 | 3-3 | 100% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 1 | 4 | 1 | 1 | N/A | Chicago |\n| Aaron Brooks | 20 | 7 | 0 | 4 | 3-6 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Chicago |\n| Doug McDermott | 16 | 6 | 2 | 0 | 2-6 | 33% | 1-2 | 50% | 1-1 | 100% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Chicago |\n| E'Twaun Moore | 24 | 5 | 4 | 0 | 2-6 | 33% | 1-3 | 33% | 0-0 | 0% | 1 | 2 | 1 | 1 | 3 | 1 | N/A | Chicago |\n| Mike Dunleavy | 17 | 3 | 0 | 1 | 1-3 | 33% | 0-1 | 0% | 1-2 | 50% | 1 | 0 | 0 | 0 | 0 | 3 | F | Chicago |\n| Taj Gibson | 10 | 0 | 3 | 1 | 0-4 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 0 | F | Chicago |\n| Justin Holiday | 3 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Chicago |\n| Tony Snell | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |" + } + ] + }, + { + "id": "table_recognition_train_item_35357", + "image": "table_instructV/images/TABMWP_31203.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Location | Elevation (m) |\n| --- | --- |\n| Top of the skyscraper | 275 |\n| Bottom of the mine | -260 |" + } + ] + }, + { + "id": "table_recognition_train_item_106921", + "image": "table_instructV/images/ToTTo_train_table_29086.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| First No | Second No | Name | Built | Withdrawn | Service Life | Notes |\n| --- | --- | --- | --- | --- | --- | --- |\n| 3400 | 3700 | Durban | Aug 1901 | Nov 1929 | 28 Years, 3 months | |\n| 3401 | 3701 | Gibraltar | Aug 1901 | Aug 1928 | 27 Years | |\n| 3402 | 3702 | Halifax | Aug 1901 | Apr 1929 | 27 Years, 8 months | |\n| 3403 | 3703 | Hobart | Sept 1901 | Aug 1929 | 27 Years, 11 months | |\n| 3404 | 3704 | Lyttelton | Sept 1901 | Sept 1928 | 27 Years | |\n| 3405 | 3705 | Mauritius | Sept 1901 | Sept 1928 | 27 Years | |\n| 3406 | 3706 | Melbourne | Sept 1901 | Jun 1929 | 27 Years, 9 months | |\n| 3407 | 3707 | Malta | Sept 1901 | Apr 1929 | 27 Years, 7 months | |\n| 3408 | 3708 | Ophir | Oct 1901 | Oct 1929 | 28 Years | Renamed Killarney in July 1907. |\n| 3409 | 3709 | Quebec | Oct 1901 | Sept 1929 | 27 Years, 11 months | |\n| 3433 | 3710 | City of Bath | Mar 1903 | Sept 1928 | 25 Years, 6 months | |\n| 3434 | 3711 | City of Birmingham | May 1903 | Jul 1930 | 27 Years, 2 months | |\n| 3435 | 3712 | City of Bristol | May 1903 | May 1931 | 28 Years | Last to be withdrawn |\n| 3436 | 3713 | City of Chester | May 1903 | Dec 1929 | 26 Years, 7 months | |\n| 3437 | 3714 | City of Gloucester | May 1903 | Nov 1929 | 26 Years, 6 months | |\n| 3438 | 3715 | City of Hereford | May 1903 | Oct 1929 | 26 Years, 5 months | |\n| 3439 | 3716 | City of London | May 1903 | Apr 1929 | 25 Years, 11 months | |\n| 3440 | 3717 | City of Truro | May 1903 | Mar 1931 | 27 Years, 10 months | Preserved |\n| 3441 | 3718 | City of Winchester | May 1903 | Oct 1927 | 24 Years, 5 months | First to be withdrawn |\n| 3442 | 3719 | City of Worcester | May 1903 | Apr 1929 | 25 years, 11 months | Renamed City of Exeter |" + } + ] + }, + { + "id": "table_recognition_train_item_116897", + "image": "table_instructV/images/Rotowire_train_table_2791.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Trail Blazers | Portland | 115 | 26 | 26 | 28 | 35 | 27 | 52 | 16 | 42 | 86 | 43 | 16 | 24 | | | | |\n| Thunder | Oklahoma City | 110 | 27 | 19 | 39 | 25 | 23 | 42 | 19 | 49 | 72 | 48 | 26 | 12 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Trail Blazers | | | | | | | | | | | | | | | | | | |\n| Damian Lillard | 37 | 31 | 7 | 9 | 9-18 | 50% | 8-14 | 57% | 5-6 | 83% | 2 | 7 | 0 | 1 | 6 | 4 | G | Portland |\n| CJ McCollum | 36 | 22 | 7 | 6 | 8-23 | 35% | 4-10 | 40% | 2-2 | 100% | 1 | 2 | 0 | 2 | 5 | 1 | G | Portland |\n| Al-Farouq Aminu | 35 | 16 | 4 | 2 | 6-15 | 40% | 2-7 | 29% | 2-3 | 67% | 2 | 0 | 1 | 2 | 2 | 2 | F | Portland |\n| Mason Plumlee | 31 | 11 | 11 | 4 | 5-12 | 42% | 0-0 | 0% | 1-1 | 100% | 0 | 2 | 1 | 6 | 5 | 5 | C | Portland |\n| Allen Crabbe | 22 | 11 | 3 | 1 | 4-8 | 50% | 3-6 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 5 | N/A | Portland |\n| Ed Davis | 22 | 10 | 9 | 3 | 4-6 | 67% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 1 | 5 | 4 | 3 | N/A | Portland |\n| Maurice Harkless | 20 | 7 | 4 | 0 | 3-5 | 60% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 0 | 1 | 3 | 0 | N/A | Portland |\n| Gerald Henderson | 9 | 4 | 0 | 1 | 2-4 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Portland |\n| Meyers Leonard | 13 | 3 | 4 | 0 | 1-6 | 17% | 1-5 | 20% | 0-0 | 0% | 0 | 1 | 0 | 3 | 1 | 3 | N/A | Portland |\n| Noah Vonleh | 14 | 0 | 3 | 1 | 0-3 | 0% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 1 | 0 | 3 | 5 | F | Portland |\n| Tim Frazier | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Chris Kaman | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Pat Connaughton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Kevin Durant | 40 | 28 | 6 | 4 | 10-23 | 44% | 2-6 | 33% | 6-6 | 100% | 1 | 3 | 0 | 1 | 5 | 2 | F | Oklahoma City |\n| Russell Westbrook | 38 | 25 | 9 | 15 | 7-19 | 37% | 2-4 | 50% | 9-11 | 82% | 3 | 4 | 0 | 1 | 8 | 6 | G | Oklahoma City |\n| Steven Adams | 35 | 17 | 10 | 0 | 6-6 | 100% | 0-0 | 0% | 5-9 | 56% | 0 | 2 | 1 | 3 | 7 | 1 | C | Oklahoma City |\n| Serge Ibaka | 36 | 14 | 3 | 0 | 5-7 | 71% | 4-4 | 100% | 0-0 | 0% | 0 | 3 | 2 | 0 | 3 | 2 | F | Oklahoma City |\n| Andre Roberson | 31 | 10 | 8 | 0 | 4-6 | 67% | 1-3 | 33% | 1-1 | 100% | 2 | 2 | 3 | 1 | 7 | 2 | G | Oklahoma City |\n| Dion Waiters | 22 | 6 | 0 | 1 | 2-2 | 100% | 0-0 | 0% | 2-4 | 50% | 0 | 3 | 0 | 0 | 0 | 0 | N/A | Oklahoma City |\n| Cameron Payne | 10 | 5 | 0 | 2 | 2-5 | 40% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Oklahoma City |\n| Enes Kanter | 13 | 5 | 6 | 0 | 1-3 | 33% | 0-0 | 0% | 3-5 | 60% | 1 | 2 | 0 | 2 | 4 | 1 | N/A | Oklahoma City |\n| Nick Collison | 5 | 0 | 0 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Oklahoma City |\n| Anthony Morrow | 9 | 0 | 0 | 0 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Oklahoma City |\n| Kyle Singler | 2 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Oklahoma City |\n| D.J. Augustin | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Mitch McGary | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |" + } + ] + }, + { + "id": "table_recognition_train_item_55462", + "image": "table_instructV/images/TabFact_1-20745754-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | date | vs | opponent | score | attendance | record |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | january 12 , 1996 | at | buffalo bandits | 12 - 15 | 13024 | loss |\n| 2 | january 13 , 1996 | at | baltimore thunder | 17 - 12 | 5989 | win |\n| 3 | january 27 , 1996 | vs | new york saints | 23 - 8 | 14122 | win |\n| 4 | february 2 , 1996 | vs | rochester knighthawks | 17 - 14 | 13014 | win |\n| 5 | february 3 , 1996 | at | new york saints | 15 - 6 | 9381 | win |\n| 6 | february 17 , 1996 | at | rochester knighthawks | 15 - 18 | 7394 | loss |\n| 7 | february 24 , 1996 | vs | boston blazers | 12 - 10 | 16818 | win |\n| 8 | march 2 , 1996 | at | charlotte cobras | 14 - 8 | 2813 | win |\n| 9 | march 9 , 1996 | vs | charlotte cobras | 26 - 11 | 16244 | win |\n| 10 | march 23 , 1996 | vs | buffalo bandits | 14 - 12 | 15242 | win |\n| 11 (p) | april 6 , 1996 | vs | boston blazers | 10 - 8 | 12092 | win |" + } + ] + }, + { + "id": "table_recognition_train_item_65188", + "image": "table_instructV/images/TabFact_2-1110732-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| date | tournament | winning score | margin of victory | runner (s) - up |\n| --- | --- | --- | --- | --- |\n| oct 12 , 1997 | michelob championship at kingsmill | - 13 (67 + 66 + 71 + 67 = 271) | playoff | grant waite , duffy waldorf |\n| oct 19 , 1997 | walt disney world / oldsmobile classic | - 18 (65 + 70 + 65 + 70 = 270) | playoff | dan forsman |\n| nov 2 , 1997 | the tour championship | - 11 (66 + 69 + 70 + 68 = 273) | 1 stroke | jim furyk |\n| feb 22 , 1998 | tucson chrysler classic | - 19 (66 + 62 + 68 + 73 = 269) | 4 strokes | justin leonard , david toms |\n| may 3 , 1998 | shell houston open | - 12 (69 + 70 + 73 + 64 = 276) | 1 stroke | jeff maggert |\n| aug 30 , 1998 | nec world series of golf | - 11 (69 + 66 + 66 + 68 = 269) | 2 strokes | phil mickelson |\n| oct 11 , 1998 | michelob championship at kingsmill | - 16 (65 + 67 + 68 + 68 = 268) | 3 strokes | phil tataurangi |\n| jan 10 , 1999 | mercedes championships | - 26 (67 + 63 + 68 + 68 = 266) | 9 strokes | mark o'meara |\n| jan 24 , 1999 | bob hope chrysler classic | - 26 (70 - 71 + 64 + 70 + 59 = 334) | 1 stroke | steve pate |\n| mar 28 , 1999 | the players championship | - 3 (69 + 69 + 74 + 73 = 285) | 2 strokes | scott gump |\n| apr 4 , 1999 | bellsouth classic | - 18 (66 + 69 + 68 + 67 = 270) | 2 strokes | stewart cink |\n| oct 1 , 2000 | buick challenge | - 19 (68 + 69 + 67 + 65 = 269) | 2 strokes | jeff maggert , nick price |\n| jul 22 , 2001 | the open championship | - 10 (69 + 73 + 65 + 67 = 274) | 3 strokes | niclas fasth |" + } + ] + }, + { + "id": "table_recognition_train_item_112659", + "image": "table_instructV/images/Rotowire_train_table_672.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Magic | Orlando | 98 | 25 | 15 | 21 | 37 | 22 | 37 | 11 | 42 | 65 | 50 | 13 | 23 | | | | |\n| Nets | Brooklyn | 100 | 22 | 30 | 34 | 14 | 26 | 45 | 22 | 57 | 61 | 35 | 16 | 16 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Victor Oladipo | 29 | 17 | 3 | 3 | 7-13 | 54% | 2-2 | 100% | 1-1 | 100% | 2 | 2 | 0 | 0 | 3 | 2 | G | Orlando |\n| Elfrid Payton | 36 | 16 | 9 | 10 | 6-13 | 46% | 1-1 | 100% | 3-5 | 60% | 3 | 2 | 1 | 4 | 5 | 3 | G | Orlando |\n| Ben Gordon | 19 | 14 | 4 | 0 | 5-9 | 56% | 1-3 | 33% | 3-4 | 75% | 1 | 1 | 0 | 0 | 4 | 4 | N/A | Orlando |\n| Tobias Harris | 31 | 12 | 3 | 0 | 4-10 | 40% | 2-3 | 67% | 2-2 | 100% | 3 | 1 | 1 | 0 | 3 | 1 | F | Orlando |\n| Evan Fournier | 28 | 12 | 1 | 4 | 4-11 | 36% | 2-5 | 40% | 2-4 | 50% | 0 | 2 | 0 | 0 | 1 | 1 | N/A | Orlando |\n| Channing Frye | 25 | 11 | 4 | 0 | 4-8 | 50% | 3-6 | 50% | 0-0 | 0% | 2 | 0 | 0 | 0 | 4 | 3 | N/A | Orlando |\n| Nikola Vucevic | 28 | 10 | 4 | 2 | 4-10 | 40% | 0-0 | 0% | 2-4 | 50% | 1 | 1 | 0 | 2 | 2 | 1 | C | Orlando |\n| Kyle O'Quinn | 17 | 4 | 4 | 1 | 2-7 | 29% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 3 | 1 | F | Orlando |\n| Devyn Marble | 21 | 2 | 4 | 1 | 1-4 | 25% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 4 | 1 | N/A | Orlando |\n| Dewayne Dedmon | 5 | 0 | 1 | 1 | 0-3 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 0 | 1 | N/A | Orlando |\n| Andrew Nicholson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Luke Ridnour | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Willie Green | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Nets | | | | | | | | | | | | | | | | | | |\n| Mason Plumlee | 27 | 18 | 9 | 2 | 9-10 | 90% | 0-0 | 0% | 0-3 | 0% | 1 | 5 | 2 | 2 | 7 | 3 | C | Brooklyn |\n| Brook Lopez | 18 | 16 | 8 | 0 | 7-8 | 88% | 0-0 | 0% | 2-3 | 67% | 0 | 1 | 3 | 2 | 6 | 0 | N/A | Brooklyn |\n| Deron Williams | 29 | 16 | 2 | 7 | 5-10 | 50% | 3-3 | 100% | 3-4 | 75% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | Brooklyn |\n| Joe Johnson | 39 | 14 | 4 | 4 | 5-13 | 39% | 1-7 | 14% | 3-3 | 100% | 0 | 4 | 0 | 0 | 4 | 3 | F | Brooklyn |\n| Kevin Garnett | 18 | 9 | 6 | 1 | 3-4 | 75% | 1-1 | 100% | 2-2 | 100% | 2 | 2 | 0 | 0 | 6 | 1 | F | Brooklyn |\n| Mirza Teletovic | 20 | 9 | 4 | 2 | 4-9 | 44% | 0-3 | 0% | 1-1 | 100% | 1 | 0 | 0 | 0 | 4 | 1 | N/A | Brooklyn |\n| Sergey Karasev | 34 | 7 | 4 | 5 | 3-5 | 60% | 1-2 | 50% | 0-2 | 0% | 1 | 2 | 0 | 0 | 4 | 2 | G | Brooklyn |\n| Jarrett Jack | 33 | 6 | 6 | 4 | 3-8 | 38% | 0-1 | 0% | 0-0 | 0% | 1 | 6 | 0 | 0 | 6 | 1 | G | Brooklyn |\n| Alan Anderson | 24 | 5 | 2 | 1 | 2-5 | 40% | 1-3 | 33% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 4 | N/A | Brooklyn |\n| Bojan Bogdanovic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |\n| Jerome Jordan | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |\n| Brandon Davies | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |\n| Darius Morris | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |" + } + ] + }, + { + "id": "table_recognition_train_item_58148", + "image": "table_instructV/images/TabFact_2-12207755-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| date | opponent | score | loss | attendance | record |\n| --- | --- | --- | --- | --- | --- |\n| april 9 | tigers | 6 - 2 | mclaughlin (0 - 1) | 51452 | 0 - 1 |\n| april 11 | tigers | 6 - 2 | stieb (0 - 1) | 13617 | 0 - 2 |\n| april 12 | tigers | 6 - 2 | bailey (0 - 1) | 9950 | 1 - 2 |\n| april 13 | yankees | 5 - 1 | john (1 - 1) | 25112 | 2 - 2 |\n| april 15 | yankees | 6 - 3 | todd (0 - 1) | 16280 | 2 - 3 |\n| april 16 | tigers | 2 - 0 | stieb (0 - 2) | 11058 | 2 - 4 |\n| april 17 | tigers | 8 - 5 | leal (1 - 1) | 15196 | 2 - 5 |\n| april 18 | tigers | 4 - 3 | clancy (1 - 1) | 16294 | 2 - 6 |\n| april 19 | tigers | 9 - 1 | morris (1 - 1) | 12274 | 3 - 6 |\n| april 20 | brewers | 5 - 4 (12) | willis (0 - 1) | 12298 | 3 - 7 |\n| april 21 | brewers | 6 - 2 | stieb (0 - 3) | 11083 | 3 - 8 |\n| april 22 | brewers | 8 - 1 | leal (1 - 2) | 11792 | 3 - 9 |\n| april 23 | yankees | postponed (rain) not rescheduled | postponed (rain) not rescheduled | postponed (rain) not rescheduled | postponed (rain) not rescheduled |\n| april 24 | yankees | 4 - 2 | bomback (1 - 1) | 20863 | 3 - 10 |\n| april 25 | yankees | 7 - 2 | may (3 - 1) | 17319 | 4 - 10 |\n| april 26 | yankees | 2 - 1 | underwood (0 - 2) | 37306 | 5 - 10 |\n| april 27 | brewers | 4 - 3 (12) | garvin (0 - 1) | 6692 | 5 - 11 |\n| april 28 | brewers | 6 - 2 | caldwell (2 - 2) | 6433 | 6 - 11 |\n| april 29 | brewers | 5 - 0 (14) | easterly (0 - 1) | 7320 | 7 - 11 |\n| april 30 | orioles | 4 - 0 | todd (1 - 2) | 7726 | 7 - 12 |" + } + ] + }, + { + "id": "table_recognition_train_item_31144", + "image": "table_instructV/images/TABMWP_4561.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Number of platters | Number of celery sticks |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_63878", + "image": "table_instructV/images/TabFact_1-211615-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| station | line | planned | cancelled | proposal | details |\n| --- | --- | --- | --- | --- | --- |\n| alexandra palace | northern | 1935 | 1954 | transfer from lner | abandoned part of northern heights project |\n| bushey heath | northern | 1936 | 1949 | new station on new route | abandoned part of northern heights project |\n| camberwell | bakerloo | 1931 | 1950 | new station on new route | part of abandoned extension to camberwell |\n| cranley gardens | northern | 1935 | 1954 | transfer from lner | abandoned part of northern heights project |\n| crouch end | northern | 1935 | 1954 | transfer from lner | abandoned part of northern heights project |\n| elstree south | northern | 1936 | 1949 | new station on new route | abandoned part of northern heights project |\n| emlyn road | central | 1913 | 1919 | new station on new route | abandoned proposal for an extension to richmond |\n| heathfield terrace | central | 1913 | 1919 | new station on new route | abandoned proposal for an extension to richmond |\n| mill hill (the hale) | northern | 1935 | 1954 | transfer from lner | abandoned part of northern heights project |\n| muswell hill | northern | 1935 | 1954 | transfer from lner | abandoned part of northern heights project |\n| paddenswick road | central | 1913 | 1919 | new station on new route | abandoned proposal for an extension to richmond |\n| rylett road | central | 1913 | 1919 | new station on new route | abandoned proposal for an extension to richmond |\n| stroud green | northern | 1935 | 1954 | transfer from lner | abandoned part of northern heights project |\n| turnham green | central | 1913 | 1919 | new station on new route | abandoned proposal for an extension to richmond |" + } + ] + }, + { + "id": "table_recognition_train_item_61098", + "image": "table_instructV/images/TabFact_2-11796827-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| date | ship | type | nationality | tonnage grt |\n| --- | --- | --- | --- | --- |\n| 2 dec 16 | voltaire | cargo ship | united kingdom | 8618 |\n| 4 dec 16 | hallbjorg | cargo ship | norway | 2586 |\n| 6 dec 16 | mount temple | cargo ship | united kingdom | 9792 |\n| 8 dec 16 | duchess of cornwall | sailing ship | united kingdom | 152 |\n| 8 dec 16 | king george | cargo ship | united kingdom | 3852 |\n| 9 dec 16 | cambrian range | cargo ship | united kingdom | 4235 |\n| 10 dec 16 | georgic | cargo ship | united kingdom | 10077 |\n| 11 dec 16 | yarrowdale | cargo ship | united kingdom | 4652 |\n| 12 dec 16 | saint theodore | cargo ship | united kingdom | 4992 |\n| 18 dec 16 | dramatist | cargo ship | united kingdom | 5415 |\n| 26 dec 16 | nantes | sailing ship | france | 2679 |\n| 2 jan 17 | asnieres | sailing ship | france | 3103 |\n| 5 jan 17 | hudson maru | cargo ship | japan | 3798 |\n| 8 jan 17 | radnorshire | cargo ship | united kingdom | 4310 |\n| 9 jan 17 | minteh | cargo ship | united kingdom | 2890 |\n| 10 jan 17 | netherby hall | cargo ship | united kingdom | 4461 |\n| 15 feb 17 | brecknockshire | cargo ship | united kingdom | 8423 |\n| 16 feb 17 | french prince | cargo ship | united kingdom | 4766 |\n| 16 feb 17 | eddie | cargo ship | united kingdom | 2652 |\n| 24 feb 17 | katherine | cargo ship | united kingdom | 2926 |\n| 4 mar 17 | rhodanthe | cargo ship | united kingdom | 3061 |\n| 10 mar 17 | esmeraldas | cargo ship | united kingdom | 4678 |\n| 10 mar 17 | otaki | cargo ship | united kingdom | 9575 |\n| 13 mar 17 | demeterton | cargo ship | united kingdom | 6048 |\n| 14 mar 17 | governor | cargo ship | united kingdom | 5524 |" + } + ] + }, + { + "id": "table_recognition_train_item_35110", + "image": "table_instructV/images/TABMWP_23671.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | Displeased | Pleased |\n| --- | --- | --- |\n| A Footlong shoe | 6 | 4 |\n| A Toes Knows shoe | 5 | 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_56948", + "image": "table_instructV/images/TabFact_1-17765888-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | game site | record | attendance |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | september 10 , 1961 | buffalo bills | w 22 - 10 | war memorial stadium | 1 - 0 | 16636 |\n| 2 | september 16 , 1961 | boston patriots | l 17 - 45 | boston university field | 1 - 1 | 14479 |\n| 3 | september 24 , 1961 | new york titans | l 28 - 35 | polo grounds | 1 - 2 | 14381 |\n| 4 | october 1 , 1961 | oakland raiders | l 19 - 33 | candlestick park | 1 - 3 | 8361 |\n| 5 | october 8 , 1961 | dallas texans | l 12 - 19 | bears stadium | 1 - 4 | 14500 |\n| 6 | october 15 , 1961 | oakland raiders | w 27 - 24 | bears stadium | 2 - 4 | 11129 |\n| 7 | october 22 , 1961 | new york titans | w 27 - 10 | bears stadium | 3 - 4 | 12508 |\n| 8 | october 29 , 1961 | san diego chargers | l 0 - 37 | balboa stadium | 3 - 5 | 32584 |\n| 9 | november 5 , 1961 | houston oilers | l 14 - 55 | bears stadium | 3 - 6 | 11564 |\n| 10 | november 12 , 1961 | san diego chargers | l 16 - 19 | bears stadium | 3 - 7 | 7859 |\n| 11 | november 19 , 1961 | buffalo bills | l 10 - 23 | bears stadium | 3 - 8 | 7645 |\n| 12 | november 26 , 1961 | houston oilers | l 14 - 45 | jeppesen stadium | 3 - 9 | 27874 |\n| 13 | december 3 , 1961 | boston patriots | l 24 - 28 | bears stadium | 3 - 10 | 9303 |" + } + ] + }, + { + "id": "table_recognition_train_item_115383", + "image": "table_instructV/images/Rotowire_train_table_2034.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Grizzlies | Memphis | 111 | 16 | 30 | 30 | 35 | 24 | 30 | 9 | 51 | 79 | 67 | 8 | 1 | | | | |\n| Kings | Sacramento | 110 | 38 | 24 | 29 | 19 | 12 | 44 | 14 | 48 | 85 | 54 | 5 | 4 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Grizzlies | | | | | | | | | | | | | | | | | | |\n| Mike Conley | 39 | 22 | 1 | 11 | 8-17 | 47% | 1-3 | 33% | 5-6 | 83% | 1 | 1 | 0 | 0 | 1 | 4 | G | Memphis |\n| Marc Gasol | 37 | 20 | 7 | 2 | 5-13 | 39% | 0-0 | 0% | 10-11 | 91% | 2 | 2 | 2 | 3 | 4 | 4 | C | Memphis |\n| Zach Randolph | 34 | 17 | 8 | 2 | 6-13 | 46% | 0-0 | 0% | 5-8 | 63% | 0 | 0 | 0 | 0 | 8 | 3 | F | Memphis |\n| Courtney Lee | 36 | 16 | 1 | 3 | 6-9 | 67% | 1-1 | 100% | 3-3 | 100% | 3 | 1 | 0 | 0 | 1 | 3 | N/A | Memphis |\n| Vince Carter | 17 | 11 | 4 | 2 | 4-5 | 80% | 3-4 | 75% | 0-0 | 0% | 1 | 1 | 1 | 1 | 3 | 0 | N/A | Memphis |\n| Kosta Koufos | 11 | 8 | 1 | 0 | 3-4 | 75% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 1 | 0 | 1 | 3 | N/A | Memphis |\n| Jon Leuer | 14 | 8 | 3 | 0 | 3-4 | 75% | 0-0 | 0% | 2-4 | 50% | 0 | 1 | 0 | 1 | 2 | 2 | N/A | Memphis |\n| Beno Udrih | 9 | 4 | 1 | 0 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 3 | N/A | Memphis |\n| Quincy Pondexter | 8 | 3 | 0 | 1 | 1-2 | 50% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Memphis |\n| Tayshaun Prince | 11 | 2 | 0 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | F | Memphis |\n| Tony Allen | 24 | 0 | 4 | 2 | 0-5 | 0% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 3 | 1 | 3 | G | Memphis |\n| Jordan Adams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Jarnell Stokes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Kings | | | | | | | | | | | | | | | | | | |\n| Rudy Gay | 40 | 25 | 7 | 2 | 8-17 | 47% | 1-2 | 50% | 8-8 | 100% | 1 | 0 | 1 | 3 | 4 | 3 | F | Sacramento |\n| DeMarcus Cousins | 31 | 22 | 12 | 1 | 8-17 | 47% | 0-0 | 0% | 6-7 | 86% | 2 | 6 | 3 | 2 | 10 | 5 | C | Sacramento |\n| Darren Collison | 37 | 20 | 2 | 5 | 6-11 | 55% | 2-3 | 67% | 6-7 | 86% | 1 | 3 | 1 | 0 | 2 | 2 | G | Sacramento |\n| Ben McLemore | 37 | 17 | 4 | 0 | 6-12 | 50% | 3-6 | 50% | 2-4 | 50% | 0 | 1 | 0 | 0 | 4 | 1 | G | Sacramento |\n| Carl Landry | 25 | 10 | 4 | 0 | 3-7 | 43% | 0-0 | 0% | 4-4 | 100% | 0 | 0 | 0 | 2 | 2 | 6 | N/A | Sacramento |\n| Jason Thompson | 27 | 6 | 7 | 1 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 3 | 4 | 5 | F | Sacramento |\n| Ramon Sessions | 11 | 5 | 1 | 2 | 1-3 | 33% | 0-1 | 0% | 3-4 | 75% | 0 | 1 | 0 | 1 | 0 | 0 | N/A | Sacramento |\n| Nik Stauskas | 11 | 3 | 1 | 1 | 1-2 | 50% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Sacramento |\n| Reggie Evans | 13 | 2 | 4 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 2 | 2 | 3 | N/A | Sacramento |\n| Omri Casspi | 8 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | Sacramento |\n| Ryan Hollins | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Sacramento |\n| Ray McCallum | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Derrick Williams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |" + } + ] + }, + { + "id": "table_recognition_train_item_103236", + "image": "table_instructV/images/ToTTo_train_table_13599.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| No. | Name | Duration of reign | Defences |\n| --- | --- | --- | --- |\n| 49 | United Kingdom Sam Eggington | 9 May 2015 – present | 0 |\n| 48 | United Kingdom Frankie Gavin | 29 November 2014 – April 2015 | 0 |\n| 47 | Sierra Leone Leonard Bundu | 1 August 2014 – October 2014 | 0 |\n| 46 | United Kingdom Frankie Gavin | 28 June 2013 – 1 August 2014 | 2 |\n| 45 | United Kingdom Denton Vassell | 16 April 2010 – 28 June 2013 | 3 |\n| 44 | United Kingdom John O'Donnell | 11 April 2009 – 29 March 2010v | 0 |\n| 43 | United Kingdom Craig Watson | 8 December 2007 – 11 April 2009 | 1 |\n| 42 | Namibia Paulus Ali Nuumbembe | 16 February 2007 – 8 December 2007 | 0 |\n| 41 | United Kingdom Kevin Anderson | 30 September 2005 – 16 February 2007 | 2 |\n| 40 | Ghana Joshua Okine | 4 March 2005 – 30 September 2005 | 1 |\n| 39 | Nigeria Fatai Onikeke | 17 September 2004 – 4 March 2005 | 0 |\n| 38 | Ghana Ossie Duran | 26 December 2003 – August 2004v | 0 |\n| 37 | United Kingdom James Hare | 27 April 2002 – November 2003 | 3 |\n| 36 | Australia Julian Holland | 17 August 2001 – 27 April 2002 | 0 |\n| 35 | United Kingdom Jawaid Khaliq | 27 November 2000 – July 2001v | 0 |\n| 34 | United Kingdom Scott Dixon | 5 February 2000 – October 2000v | 1 |\n| 33 | Ghana Kofi Jantuah | 1 November 1997 – January 2000v | 1 |\n| 32 | Guyana Andrew Murray | 5 October 1993 – October 1997 | 2 |\n| 31 | United Kingdom Eamonn Loughran | 24 November 1992 – September 1993v | 1 |\n| 30 | Canada Donovan Boucher | 23 November 1989 – 24 November 1992 | 5 |\n| 29 | United Kingdom Gary Jacobs | 19 April 1988 – 23 November 1989 | 3 |\n| 28 | Australia Wilf Gentzen | 28 August 1987 – 19 April 1988 | 1 |\n| 27 | Australia Brian Janssen | 6 April 1987 – July 1987v | 0 |\n| 26 | United Kingdom Lloyd Honeyghan | 27 November 1985 – March 1987v | 0 |\n| 25 | United Kingdom Sylvester Mittee | 10 October 1984 – 27 November 1985 | 2 |\n| 24 | United Kingdom Colin Jones | 3 March 1981 – September 1984v | 2 |\n| 23 | Canada Clyde Gray (2) | 13 November 1979 – February 1981v | 0 |\n| 22 | Canada Chris Clarke | 28 August 1979 – 13 November 1979 | 0 |\n| 21 | Canada Clyde Gray (1) | 12 February 1973 – 28 August 1979 | 7 |\n| 20 | United Kingdom Ralph Charles | 20 February 1968 – January 1973v | 3 |\n| 19 | United Kingdom Johnny Cooke | 16 October 1967 – 20 February 1968 | 0 |\n| 18 | United Kingdom Brian Curvis | 9 May 1960 – September 1967v | 7 |\n| 17 | Australia George Barnes (3) | 18 August 1958 – 9 May 1960 | 2 |\n| 16 | South Africa Johnny van Rensburg | 17 May 1958 – 18 August 1958 | 0 |\n| 15 | Australia George Barnes (2) | 12 November 1956 – 17 May 1958 | 1 |\n| 14 | Australia Darby Brown | 6 August 1956 – 12 November 1956 | 0 |\n| 13 | Australia George Barnes (1) | 24 November 1954 – 6 August 1956 | 2 |\n| 12 | United Kingdom Wally Thom (2) | 19 October 1954 – October 1954v | 0 |\n| 11 | New Zealand Barry Brown | 15 January 1954 – September 1954v | 0 |\n| 10 | South Africa Gerald Dreyer | 8 December 1952 – 15 January 1954 | 0 |\n| 9 | United Kingdom Cliff Curvis | 24 July 1952 – 8 December 1952 | 0 |\n| 8 | United Kingdom Wally Thom (1) | 16 October 1951 – 24 July 1952 | 0 |\n| 7 | United Kingdom Eddie Thomas | 27 January 1951 – 16 October 1951 | 0 |\n| 6 | United Kingdom Tommy Milligan | 26 November 1924 – December 1950v | 0 |\n| 5 | United Kingdom Ted Lewis | 9 June 1920 – 26 November 1924 | 1 |\n| 4 | United Kingdom Johnny Basham | 13 November 1919 – 9 June 1920 | 1 |\n| 3 | United Kingdom Matt Wells | 21 March 1914 – 13 November 1919 | 0 |\n| 2 | United Kingdom Tom McCormick | 10 January 1914 – 21 March 1914 | 1 |\n| 1 | United Kingdom Johnny Summers | 11 June 1913 – 10 January 1914 | 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_61054", + "image": "table_instructV/images/TabFact_2-10790651-18.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| home team | home team score | away team | away team score | venue | crowd | date |\n| --- | --- | --- | --- | --- | --- | --- |\n| melbourne | 15.12 (102) | north melbourne | 7.12 (54) | mcg | 5084 | 7 september 1935 |\n| essendon | 14.23 (107) | geelong | 11.13 (79) | windy hill | 6000 | 7 september 1935 |\n| collingwood | 9.18 (72) | st kilda | 7.15 (57) | victoria park | 16000 | 7 september 1935 |\n| carlton | 20.24 (144) | footscray | 10.17 (77) | princes park | 12000 | 7 september 1935 |\n| south melbourne | 14.23 (107) | richmond | 9.9 (63) | lake oval | 28000 | 7 september 1935 |\n| hawthorn | 14.26 (110) | fitzroy | 15.6 (96) | glenferrie oval | 11000 | 7 september 1935 |" + } + ] + }, + { + "id": "table_recognition_train_item_55036", + "image": "table_instructV/images/TabFact_2-1252053-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| year | start | qual | rank | finish | laps |\n| --- | --- | --- | --- | --- | --- |\n| 1960 | 28 | 142.354 | 29 | 9 | 200 |\n| 1962 | 10 | 147.753 | 10 | 15 | 200 |\n| 1963 | 25 | 148.227 | 27 | 28 | 46 |\n| 1964 | 19 | 151.210 | 26 | 6 | 198 |\n| 1965 | 24 | 154.672 | 23 | 16 | 115 |\n| 1966 | 27 | 159.144 | 26 | 21 | 16 |\n| 1967 | 25 | 163.228 | 22 | 14 | 182 |\n| 1968 | 18 | 164.444 | 17 | 16 | 158 |\n| 1969 | 18 | 166.597 | 18 | 15 | 155 |\n| 1971 | 17 | 170.156 | 24 | 7 | 198 |" + } + ] + }, + { + "id": "table_recognition_train_item_67400", + "image": "table_instructV/images/TabFact_2-10652556-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | stadium | record | box scores | attendance |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | september 11 | cincinnati bengals | l 27 - 13 | cleveland browns stadium | 0 - 1 | box | 73013 |\n| 2 | september 18 | green bay packers | w 26 - 24 | lambeau field | 1 - 1 | box | 70400 |\n| 3 | september 25 | indianapolis colts | l 13 - 6 | rca dome | 1 - 2 | box | 57127 |\n| 4 | - | - | - | - | - | - | |\n| 5 | october 9 | chicago bears | w 20 - 10 | cleveland browns stadium | 2 - 2 | box | 73079 |\n| 6 | october 16 | baltimore ravens | l 16 - 3 | m&t bank stadium | 2 - 3 | box | 70196 |\n| 7 | october 23 | detroit lions | l 13 - 10 | cleveland browns stadium | 2 - 4 | box | 72923 |\n| 8 | october 30 | houston texans | l 16 - 13 | reliant stadium | 2 - 5 | box | 70064 |\n| 9 | november 6 | tennessee titans | w 20 - 14 | cleveland browns stadium | 3 - 5 | box | 72594 |\n| 10 | november 13 | pittsburgh steelers | l 34 - 21 | heinz field | 3 - 6 | box | 63491 |\n| 11 | november 20 | miami dolphins | w 20 - 0 | cleveland browns stadium | 4 - 6 | box | 72773 |\n| 12 | november 27 | minnesota vikings | l 24 - 12 | hubert h humphrey metrodome | 4 - 7 | box | 63814 |\n| 13 | december 4 | jacksonville jaguars | l 20 - 14 | cleveland browns stadium | 4 - 8 | box | 70941 |\n| 14 | december 11 | cincinnati bengals | l 23 - 20 | paul brown stadium | 4 - 9 | box | 65788 |\n| 15 | december 18 | oakland raiders | w 9 - 7 | mcafee coliseum | 5 - 9 | box | 41862 |\n| 16 | december 24 | pittsburgh steelers | l41 - 0 | cleveland browns stadium | 5 - 10 | box | 73136 |\n| 17 | january 1 | baltimore ravens | w 20 - 16 | cleveland browns stadium | 6 - 10 | box | 69871 |" + } + ] + }, + { + "id": "table_recognition_train_item_32017", + "image": "table_instructV/images/TABMWP_13443.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 9 | 16 |\n| 8 | 20 |\n| 9 | 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_65932", + "image": "table_instructV/images/TabFact_2-15096976-10.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| tournament | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | career w - l |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments |\n| australian open | a | a | a | 1r | a | a | a | a | a | 0 - 1 |\n| french open | a | a | 1r | 3r | a | a | 3r | a | 1r | 4 - 4 |\n| wimbledon | 1r | a | 1r | 1r | 2r | 1r | qf | 1r | 2r | 5 - 8 |\n| us open | a | a | a | a | a | a | a | a | a | 0 - 0 |\n| win - loss | 0 - 1 | 0 - 0 | 0 - 2 | 2 - 3 | 1 - 1 | 0 - 1 | 5 - 2 | 0 - 1 | 1 - 2 | 9 - 13 |" + } + ] + }, + { + "id": "table_recognition_train_item_65200", + "image": "table_instructV/images/TabFact_2-14106667-14.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| round | player | position | nationality | college / junior / club team (league) |\n| --- | --- | --- | --- | --- |\n| 1 | darren rumble | defense | canada | kitchener rangers ( ohl ) |\n| 2 | jeff harding | right wing | canada | st michael 's buzzers (toronto) |\n| 3 | martin hostak | right wing | czech republic | sparta praha (cze) |\n| 4 | tomaz eriksson | left wing | sweden | djurgardens if ( elitserien ) |\n| 5 | bill gall | defense | united states | new hampton school (nh) |\n| 6 | tony link | defense | united states | dimond high school (alaska) |\n| 7 | marc strapon | defense | united states | hayward high school ( wisconsin ) |\n| 8 | daryl ingham | right wing | canada | manitoba bisons ( ciau ) |\n| 9 | bruce macdonald | right wing | united states | loomis chaffee school (conn) |\n| 10 | steve morrow | defense | united states | westminster school (conn) |\n| 11 | darius rusnak | center | slovakia | slovan bratislava (slovakia) |\n| 12 | dale roehl | goaltender | united states | minnetonka high school ( minn ) |\n| sup | david whyte | left wing | united states | boston college eagles ( he ) |" + } + ] + }, + { + "id": "table_recognition_train_item_56308", + "image": "table_instructV/images/TabFact_1-11694832-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| no in series | no in season | title | directed by | written by | original air date | production code | us viewers (millions) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 68 | 1 | the same deep water as you | greg prange | mark schwahn | september 27 , 2006 | 3t5751 | 3.64 |\n| 69 | 2 | things i forgot at birth | greg prange | mark schwahn | october 4 , 2006 | 3t5752 | 3.09 |\n| 70 | 3 | good news for people who love bad news | john asher | mike herro and david strauss | october 11 , 2006 | 3t5753 | 3.28 |\n| 71 | 4 | can't stop this thing we've started | bethany rooney | terrence coli | october 18 , 2006 | 3t5754 | 2.95 |\n| 72 | 5 | i love you but i've chosen darkness | stuart gillard | mark schwahn | october 25 , 2006 | 3t5755 | 3.57 |\n| 73 | 6 | where did you sleep last night | paul johansson | william h brown | november 8 , 2006 | 3t5756 | 3.52 |\n| 74 | 7 | all these things that i've done | david jackson | adele lim | november 15 , 2006 | 3t5757 | 3.25 |\n| 75 | 8 | nothing left to say but goodbye | janice cooke | john a norris | november 22 , 2006 | 3t5758 | 2.53 |\n| 76 | 9 | some you give away | greg prange | mark schwahn | november 29 , 2006 | 3t5759 | 4.21 |\n| 77 | 10 | songs to love and die by | john asher | mark schwahn | december 6 , 2006 | 3t5760 | 4.24 |\n| 78 | 11 | everything in its right place | michael lange | dawn urbont | january 17 , 2007 | 3t5761 | 2.18 |\n| 79 | 12 | resolve | moira kelly | michelle furtney - goodman | january 24 , 2007 | 3t5762 | 2.26 |\n| 80 | 13 | pictures of you | les butler | mark schwahn | february 7 , 2007 | 3t5763 | 2.85 |\n| 81 | 14 | sad songs for dirty lovers | janice cooke | william h brown | february 14 , 2007 | 3t5764 | 2.25 |\n| 82 | 15 | prom night at hater high | paul johansson | mike herro and david strauss | february 21 , 2007 | 3t5765 | 3.15 |\n| 83 | 16 | you call it madness , but i call it love | thomas j wright | terrence coli | may 2 , 2007 | 3t5766 | 3.28 |\n| 84 | 17 | it gets the worst at night | greg prange | mark schwahn and jim lee | may 9 , 2007 | 3t5767 | 2.95 |\n| 85 | 18 | the runaway found | david jackson | mark schwahn | may 16 , 2007 | 3t5768 | 2.71 |\n| 86 | 19 | ashes of dreams you let die | michael lange | john a norris | may 30 , 2007 | 3t5769 | 2.06 |\n| 87 | 20 | the birth and death of the day | greg prange | mark schwahn | june 6 , 2007 | 3t5770 | 2.11 |" + } + ] + }, + { + "id": "table_recognition_train_item_68744", + "image": "table_instructV/images/TabFact_2-164231-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| election | leader | of candidates | of constituency votes | % of constituency vote |\n| --- | --- | --- | --- | --- |\n| 1958 | nobusuke kishi | 413 | 23840170 | 59.0% |\n| 1960 | hayato ikeda | 399 | 22950404 | 58.1% |\n| 1963 | hayato ikeda | 359 | 22972892 | 56.0% |\n| 1967 | eisaku satō | 342 | 22447838 | 48.9% |\n| 1969 | eisaku satō | 328 | 22381570 | 47.6% |\n| 1972 | tanaka kakuei | 339 | 24563199 | 46.9% |\n| 1976 | takeo miki | 320 | 23653626 | 41.8% |\n| 1979 | masayoshi ōhira | 322 | 24084130 | 44.59% |\n| 1980 | masayoshi ōhira | 310 | 28262442 | 47.88% |\n| 1983 | yasuhiro nakasone | 339 | 25982785 | 45.76% |\n| 1986 | yasuhiro nakasone | 322 | 29875501 | 49.42% |\n| 1990 | toshiki kaifu | 338 | 30315417 | 46.14% |\n| 1993 | kiichi miyazawa | 285 | 22999646 | 36.62% |\n| 1996 | ryutaro hashimoto | 355 | 21836096 | 38.63% |\n| 2000 | yoshirō mori | 337 | 24945806 | 40.97% |\n| 2003 | junichiro koizumi | 336 | 26089326 | 43.85% |\n| 2005 | junichiro koizumi | 346 | 32518389 | 47.80% |\n| 2009 | tarō asō | 326 | 27301982 | 38.68% |\n| 2012 | shinzō abe | 337 | 25643309 | 43.01% |" + } + ] + }, + { + "id": "table_recognition_train_item_57950", + "image": "table_instructV/images/TabFact_2-12253054-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| position | club | played | points | wins | draws | losses | goals for | goals against | goal difference |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | real murcia | 38 | 54 + 16 | 24 | 6 | 8 | 61 | 26 | + 35 |\n| 2 | elche cf | 38 | 50 + 12 | 20 | 10 | 8 | 48 | 28 | + 20 |\n| 3 | racing de santander | 38 | 48 + 10 | 20 | 8 | 10 | 41 | 37 | + 4 |\n| 4 | sevilla cf | 38 | 44 + 6 | 16 | 12 | 10 | 45 | 29 | + 16 |\n| 5 | real valladolid | 38 | 42 + 4 | 15 | 12 | 11 | 42 | 32 | + 10 |\n| 6 | cd san andrés | 38 | 40 + 2 | 14 | 12 | 12 | 49 | 51 | - 2 |\n| 7 | cádiz cf | 38 | 39 + 1 | 14 | 11 | 13 | 51 | 45 | + 6 |\n| 8 | baracaldo cf | 38 | 39 + 1 | 14 | 11 | 13 | 43 | 48 | - 5 |\n| 9 | hércules cf | 38 | 39 + 1 | 16 | 7 | 15 | 42 | 39 | + 3 |\n| 10 | rcd mallorca | 38 | 39 + 1 | 15 | 9 | 14 | 37 | 33 | + 4 |\n| 11 | rayo vallecano | 38 | 37 - 1 | 15 | 7 | 16 | 58 | 50 | + 8 |\n| 12 | cd sabadell | 38 | 36 - 2 | 12 | 12 | 14 | 45 | 50 | - 5 |\n| 13 | córdoba cf | 38 | 35 - 3 | 13 | 9 | 16 | 45 | 46 | - 1 |\n| 14 | cd tenerife | 38 | 35 - 3 | 13 | 9 | 16 | 36 | 38 | - 2 |\n| 15 | ca osasuna | 38 | 34 - 4 | 13 | 8 | 17 | 32 | 49 | - 17 |\n| 16 | gimnástico de tarragona | 38 | 33 - 5 | 12 | 9 | 17 | 35 | 48 | - 13 |\n| 17 | cd logroñés | 38 | 30 - 8 | 8 | 14 | 16 | 40 | 48 | - 8 |\n| 18 | pontevedra cf | 38 | 30 - 8 | 10 | 10 | 18 | 37 | 50 | - 13 |\n| 19 | cultural leonesa | 38 | 30 - 8 | 10 | 10 | 18 | 37 | 53 | - 16 |\n| 20 | cd mestalla | 38 | 26 - 12 | 6 | 14 | 18 | 29 | 53 | - 24 |" + } + ] + }, + { + "id": "table_recognition_train_item_64544", + "image": "table_instructV/images/TabFact_1-2189647-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| date (gmt) | yield (megatons) | deployment | country | test site | name or number |\n| --- | --- | --- | --- | --- | --- |\n| october 30 , 1961 | 50 | parachute air drop | soviet union | novaya zemlya | tsar bomba , test 130 |\n| december 24 , 1962 | 24.2 | air drop | soviet union | novaya zemlya | test 219 |\n| august 5 , 1962 | 21.1 | air drop | soviet union | novaya zemlya | test 147 |\n| september 27 , 1962 | 20.0 | air drop | soviet union | novaya zemlya | test 174 |\n| september 25 , 1962 | 19.1 | air drop | soviet union | novaya zemlya | test 173 |\n| february 28 , 1954 | 15 | ground | usa | bikini atoll | castle bravo |\n| may 4 , 1954 | 13.5 | barge | usa | bikini atoll | castle yankee |\n| october 23 , 1961 | 12.5 | air drop | soviet union | novaya zemlya | test 123 |\n| march 26 , 1954 | 11.0 | barge | usa | bikini atoll | castle romeo |\n| october 31 , 1952 | 10.4 | ground | usa | eniwetok | ivy mike |\n| august 25 , 1962 | 10.0 | air drop | soviet union | novaya zemlya | test 158 |" + } + ] + }, + { + "id": "table_recognition_train_item_57646", + "image": "table_instructV/images/TabFact_2-14523321-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| place | code | area (km 2 ) | population | most spoken language |\n| --- | --- | --- | --- | --- |\n| addo elephant national park | 20602 | 1.08 | 90 | xhosa |\n| addo | 20601 | 3.21 | 1752 | afrikaans |\n| barsheba | 20603 | 0.61 | 517 | xhosa |\n| bontrug | 20604 | 2.33 | 6806 | xhosa |\n| enon | 20605 | 0.40 | 782 | afrikaans |\n| kirkwood | 20606 | 3.07 | 2749 | afrikaans |\n| kwazenzele | 20607 | 3.62 | 3733 | xhosa |\n| nomathamsanqa | 20608 | 1.53 | 9266 | xhosa |\n| paterson | 20609 | 0.22 | 671 | afrikaans |\n| remainder of the municipality | 20610 | 3491.83 | 15218 | xhosa |" + } + ] + }, + { + "id": "table_recognition_train_item_117839", + "image": "table_instructV/images/Rotowire_train_table_3262.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Spurs | San Antonio | 114 | 29 | 22 | 42 | 21 | 35 | 42 | 12 | 56 | 65 | 43 | 4 | 2 | | | | |\n| Hornets | Charlotte | 94 | 21 | 26 | 29 | 18 | 15 | 33 | 15 | 47 | 65 | 32 | 2 | 4 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Kawhi Leonard | 34 | 23 | 4 | 2 | 10-16 | 63% | 2-4 | 50% | 1-2 | 50% | 2 | 0 | 0 | 0 | 4 | 3 | F | San Antonio |\n| LaMarcus Aldridge | 17 | 16 | 5 | 2 | 6-10 | 60% | 0-0 | 0% | 4-4 | 100% | 0 | 1 | 0 | 0 | 5 | 4 | F | San Antonio |\n| Patty Mills | 19 | 15 | 2 | 4 | 6-9 | 67% | 3-6 | 50% | 0-0 | 0% | 2 | 1 | 0 | 0 | 2 | 3 | N/A | San Antonio |\n| Manu Ginobili | 18 | 13 | 3 | 3 | 5-9 | 56% | 3-6 | 50% | 0-0 | 0% | 3 | 1 | 0 | 0 | 3 | 2 | N/A | San Antonio |\n| Tim Duncan | 24 | 11 | 8 | 2 | 4-5 | 80% | 0-0 | 0% | 3-4 | 75% | 0 | 3 | 0 | 1 | 7 | 2 | C | San Antonio |\n| David West | 29 | 9 | 9 | 6 | 4-7 | 57% | 0-1 | 0% | 1-2 | 50% | 0 | 1 | 0 | 1 | 8 | 2 | N/A | San Antonio |\n| Danny Green | 27 | 8 | 3 | 4 | 2-7 | 29% | 1-3 | 33% | 3-3 | 100% | 2 | 0 | 1 | 1 | 2 | 2 | G | San Antonio |\n| Tony Parker | 25 | 7 | 1 | 6 | 2-5 | 40% | 0-0 | 0% | 3-6 | 50% | 2 | 4 | 0 | 0 | 1 | 1 | G | San Antonio |\n| Boris Diaw | 16 | 4 | 2 | 4 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 1 | 2 | N/A | San Antonio |\n| Kyle Anderson | 13 | 4 | 2 | 2 | 2-5 | 40% | 0-0 | 0% | 0-2 | 0% | 0 | 0 | 1 | 1 | 1 | 1 | N/A | San Antonio |\n| Boban Marjanovic | 4 | 2 | 1 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 3 | N/A | San Antonio |\n| Rasual Butler | 10 | 2 | 1 | 0 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | San Antonio |\n| Ray McCallum | 4 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | San Antonio |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Kemba Walker | 29 | 27 | 1 | 4 | 11-15 | 73% | 2-2 | 100% | 3-4 | 75% | 2 | 3 | 0 | 0 | 1 | 0 | G | Charlotte |\n| Al Jefferson | 30 | 13 | 7 | 1 | 6-11 | 55% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 1 | 6 | 4 | C | Charlotte |\n| Jeremy Lin | 22 | 12 | 3 | 2 | 4-10 | 40% | 1-4 | 25% | 3-6 | 50% | 0 | 2 | 0 | 0 | 3 | 2 | N/A | Charlotte |\n| Nicolas Batum | 32 | 10 | 4 | 4 | 2-6 | 33% | 1-2 | 50% | 5-5 | 100% | 3 | 4 | 0 | 1 | 3 | 3 | G | Charlotte |\n| Marvin Williams | 27 | 9 | 4 | 0 | 4-7 | 57% | 1-2 | 50% | 0-0 | 0% | 1 | 0 | 0 | 0 | 4 | 1 | F | Charlotte |\n| Frank Kaminsky | 9 | 8 | 0 | 2 | 2-3 | 67% | 1-1 | 100% | 3-4 | 75% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Charlotte |\n| PJ Hairston | 17 | 4 | 3 | 0 | 1-5 | 20% | 0-3 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 3 | 2 | F | Charlotte |\n| Jeremy Lamb | 23 | 4 | 4 | 0 | 2-8 | 25% | 0-3 | 0% | 0-2 | 0% | 0 | 2 | 0 | 2 | 2 | 2 | N/A | Charlotte |\n| Spencer Hawes | 14 | 4 | 2 | 0 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 1 | N/A | Charlotte |\n| Cody Zeller | 24 | 2 | 5 | 1 | 0-4 | 0% | 0-1 | 0% | 2-4 | 50% | 1 | 1 | 0 | 2 | 3 | 2 | N/A | Charlotte |\n| Brian Roberts | 4 | 1 | 0 | 0 | 0-1 | 0% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Charlotte |\n| Troy Daniels | 4 | 0 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Charlotte |\n| Tyler Hansbrough | 4 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Charlotte |" + } + ] + }, + { + "id": "table_recognition_train_item_101486", + "image": "table_instructV/images/ToTTo_train_table_6330.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Rank | Name | Image | Height ft (m) | Floors | Year | Coordinates | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | Industrial National Bank Building | - | 428 (130) | 26 | 1928 | 41°49′28.27″N 71°24′39.89″W / 41.8245194°N 71.4110806°W | Has been the tallest building in the city and the state for over 90 years Built as the Industrial Trust Tower Now is vacant Previously known as Bank of America Building, also Fleet Bank Tower |\n| 2 | One Financial Plaza | Onefinancialcenter.JPG | 410 (125) | 30 | 1973 | 41°49′31.11″N 71°24′36.14″W / 41.8253083°N 71.4100389°W | Built as the Hospital Trust Tower Also known as Sovereign Bank Tower |\n| 3 | The Residences Providence | Residences Westin Providence.JPG | 380 (115) | 31 | 2007 | 41°49′30.32″N 71°24′54.77″W / 41.8250889°N 71.4152139°W | |\n| 4 | Omni Providence Hotel | WestinProv.JPG | 329 (100) | 25 | 1993 | 41°49′31.15″N 71°24′58.5″W / 41.8253194°N 71.416250°W | Became the tallest hotel in Providence upon its completion, surpassing the Providence Biltmore |\n| 5 | Textron Tower | Textrontower.JPG | 311 (95) | 23 | 1971-72 | 41°49′29.63″N 71°24′33.05″W / 41.8248972°N 71.4091806°W | Built as Old Stone Tower |\n| 6 | 50 Kennedy Plaza | 50 kennedy plaza.JPG | 285 (87) | 20 | 1985 | 41°49′29.8″N 71°24′38.09″W / 41.824944°N 71.4105806°W | |\n| 7 | Blue Cross & Blue Shield of Rhode Island Headquarters | - | 236 (72) | 14 | 2009 | 41°49′40.31″N 71°24′47.98″W / 41.8278639°N 71.4133278°W | |\n| 8 | Waterplace 1 | - | 236 (72) | 19 | 2008 | 41°49′38.36″N 71°24′45.91″W / 41.8273222°N 71.4127528°W | Tallest residential building in the city |\n| 9 | Rhode Island State House | - | 223 (68) | 4 | 1904 | 41°49′51.08″N 71°24′53.87″W / 41.8308556°N 71.4149639°W | |\n| 10 | Biltmore Hotel | - | 220 (67) | 18 | 1922 | 41°49′27.73″N 71°24′48.4″W / 41.8243694°N 71.413444°W | Tallest hotel in the city from 1922 until the completion of the Westin Providence in 1993 |\n| 11 | Providence County Courthouse | - | 217 (66) | 7 | 1930 | 41°49′31.76″N 71°24′24.84″W / 41.8254889°N 71.4069000°W | |\n| 12 | Turk's Head Building | - | 217 (66) | 16 | 1913 | 41°49′28.42″N 71°24′35.5″W / 41.8245611°N 71.409861°W | |\n| 13 | Waterplace 2 | - | 210 (64) | 17 | 2008 | 41°49′38.22″N 71°24′48.05″W / 41.8272833°N 71.4133472°W | |\n| 14= | The Carrol Towers | - | 199 (60) | 16 | 1973 | 41°49′38.22″N 71°24′48.05″W / 41.8272833°N 71.4133472°W | |\n| 14= | Parenti Villa | - | 199 (60) | 16 | 1973 | 41°49′38.22″N 71°24′48.05″W / 41.8272833°N 71.4133472°W | Twin tower of Carrol Tower. |\n| 16 | Charles Gate North | - | 187 | 15 | 1970 | 41°49′38.22″N 71°24′48.05″W / 41.8272833°N 71.4133472°W | |\n| 17= | One Citizens Plaza | - | 180 (55) | 13 | 1990 | 41°49′38.78″N 71°24′38.42″W / 41.8274389°N 71.4106722°W | |\n| 17= | Brown University Sciences Library | BrownScienceLibrary1.JPG | 180 (55) | 15 | 1971 | 41°49′36.85″N 71°24′0.49″W / 41.8269028°N 71.4001361°W | With its former antenna mast included, the building reached a total height of 395 feet (120 m), more than doubling its effective height and making it the third-tallest building in the city when measuring by pinnacle height. |\n| 19 | Hospital Trust Building | - | 177 (54) | 13 | 1920 | 41°49′32.38″N 71°24′34.83″W / 41.8256611°N 71.4096750°W | Also known as the Fleet Building |\n| 20 | Sister Dominica Manor | SisterDominicaManorProvidence.JPG | 175 (53) | 16 | 1966 | 41°49′21.84″N 71°25′16.69″W / 41.8227333°N 71.4213028°W | Built as the Bradford House Also known as Federal Hill Manor |" + } + ] + }, + { + "id": "table_recognition_train_item_34562", + "image": "table_instructV/images/TABMWP_6518.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $200 | 5,900 | 1,300 |\n| $370 | 5,000 | 6,000 |\n| $540 | 4,100 | 10,700 |\n| $710 | 3,200 | 15,400 |\n| $880 | 2,300 | 20,100 |" + } + ] + }, + { + "id": "table_recognition_train_item_31563", + "image": "table_instructV/images/TABMWP_8752.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $520 | 18,900 | 1,800 |\n| $530 | 15,300 | 3,400 |\n| $540 | 11,700 | 5,000 |\n| $550 | 8,100 | 6,600 |\n| $560 | 4,500 | 8,200 |" + } + ] + }, + { + "id": "table_recognition_train_item_115013", + "image": "table_instructV/images/Rotowire_train_table_1849.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 76ers | Philadelphia | 94 | 26 | 26 | 20 | 22 | 21 | 41 | 11 | 43 | 76 | 32 | 8 | 50 | | | | |\n| Wizards | Washington | 103 | 21 | 27 | 28 | 27 | 24 | 55 | 11 | 43 | 94 | 30 | 27 | 30 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Jahlil Okafor | 31 | 21 | 6 | 2 | 9-13 | 69% | 0-0 | 0% | 3-4 | 75% | 0 | 1 | 1 | 2 | 4 | 1 | C | Philadelphia |\n| Nik Stauskas | 28 | 15 | 2 | 1 | 4-6 | 67% | 3-5 | 60% | 4-4 | 100% | 0 | 1 | 0 | 0 | 2 | 1 | G | Philadelphia |\n| Robert Covington | 33 | 12 | 12 | 0 | 4-9 | 44% | 3-7 | 43% | 1-2 | 50% | 3 | 2 | 3 | 3 | 9 | 5 | F | Philadelphia |\n| TJ McConnell | 18 | 10 | 2 | 2 | 5-10 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Philadelphia |\n| Ish Smith | 30 | 10 | 7 | 8 | 5-15 | 33% | 0-2 | 0% | 0-1 | 0% | 2 | 2 | 0 | 0 | 7 | 2 | G | Philadelphia |\n| Nerlens Noel | 31 | 9 | 8 | 2 | 3-6 | 50% | 0-0 | 0% | 3-4 | 75% | 2 | 2 | 0 | 1 | 7 | 3 | F | Philadelphia |\n| Isaiah Canaan | 17 | 7 | 1 | 0 | 1-7 | 14% | 1-4 | 25% | 4-4 | 100% | 0 | 0 | 0 | 1 | 0 | 2 | N/A | Philadelphia |\n| Jerami Grant | 24 | 7 | 3 | 5 | 3-9 | 33% | 0-1 | 0% | 1-2 | 50% | 1 | 1 | 1 | 0 | 3 | 1 | N/A | Philadelphia |\n| Hollis Thompson | 23 | 3 | 0 | 1 | 1-7 | 14% | 1-5 | 20% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Philadelphia |\n| Richaun Holmes | 6 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 0 | 0 | 2 | N/A | Philadelphia |\n| Carl Landry | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Kendall Marshall | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Elton Brand | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| John Wall | 39 | 23 | 8 | 11 | 9-19 | 47% | 0-3 | 0% | 5-5 | 100% | 1 | 4 | 1 | 2 | 6 | 2 | G | Washington |\n| Jared Dudley | 30 | 14 | 3 | 3 | 5-10 | 50% | 4-6 | 67% | 0-0 | 0% | 1 | 1 | 1 | 1 | 2 | 2 | F | Washington |\n| Marcin Gortat | 26 | 12 | 11 | 0 | 6-9 | 67% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 5 | 6 | 2 | C | Washington |\n| Ramon Sessions | 20 | 12 | 2 | 1 | 6-10 | 60% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 1 | N/A | Washington |\n| Markieff Morris | 18 | 10 | 7 | 0 | 3-9 | 33% | 0-2 | 0% | 4-4 | 100% | 1 | 0 | 2 | 0 | 7 | 4 | N/A | Washington |\n| Otto Porter | 29 | 9 | 10 | 1 | 4-12 | 33% | 1-4 | 25% | 0-0 | 0% | 3 | 1 | 1 | 4 | 6 | 1 | F | Washington |\n| Bradley Beal | 28 | 9 | 3 | 4 | 4-14 | 29% | 1-6 | 17% | 0-0 | 0% | 0 | 2 | 0 | 2 | 1 | 1 | N/A | Washington |\n| Nene | 22 | 9 | 8 | 3 | 2-6 | 33% | 0-0 | 0% | 5-6 | 83% | 0 | 2 | 1 | 1 | 7 | 2 | N/A | Washington |\n| Alan Anderson | 16 | 5 | 2 | 0 | 1-3 | 33% | 1-2 | 50% | 2-2 | 100% | 0 | 0 | 1 | 1 | 1 | 2 | N/A | Washington |\n| Garrett Temple | 12 | 0 | 1 | 1 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | G | Washington |\n| Drew Gooden | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Jarell Eddie | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Kelly Oubre Jr. | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |" + } + ] + }, + { + "id": "table_recognition_train_item_60948", + "image": "table_instructV/images/TabFact_1-1615980-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| no | date | tournament | winning score | to par | margin of victory | runner (s) - up |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 29 oct 2000 | italian open | 66 + 67 + 65 + 69 = 267 | - 21 | 1 stroke | gordon brand , jnr |\n| 2 | 15 apr 2001 | moroccan open | 71 + 67 + 69 + 70 = 277 | - 15 | 2 strokes | david lynn |\n| 3 | 3 nov 2002 | italian open | 61 + 67 + 69 = 197 | - 19 | 2 strokes | paul lawrie |\n| 4 | 1 jun 2003 | celtic manor resort wales open | 65 + 67 + 68 + 70 = 270 | - 18 | 3 strokes | darren fichardt , jonathan lomas , jarrod moseley |\n| 5 | 10 aug 2003 | nordic open | 68 + 67 + 65 + 66 = 266 | - 22 | 1 stroke | colin montgomerie |\n| 6 | 31 oct 2004 | volvo masters andalucia | 71 + 67 + 69 + 70 = 277 | - 7 | playoff | sergio garcía |\n| 8 | 1 nov 2009 | barclays singapore open 1 | 66 + 64 + 72 + 72 = 274 | - 10 | 1 stroke | liang wen - chong |\n| 9 | 21 feb 2010 | wgc - accenture match play championship | 4 and 2 | 4 and 2 | 4 and 2 | paul casey |\n| 10 | 21 nov 2010 | ubs hong kong open 1 | 67 + 60 + 64 + 67 = 258 | - 22 | 1 stroke | simon dyson , matteo manassero |" + } + ] + }, + { + "id": "table_recognition_train_item_117283", + "image": "table_instructV/images/Rotowire_train_table_2984.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hawks | Atlanta | 130 | 33 | 27 | 28 | 42 | 30 | 43 | 12 | 54 | 73 | 39 | 34 | 27 | | | | |\n| Cavaliers | Cleveland | 135 | 39 | 38 | 29 | 29 | 31 | 33 | 14 | 55 | 80 | 54 | 42 | 18 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hawks | | | | | | | | | | | | | | | | | | |\n| Tim Hardaway Jr. | 35 | 36 | 2 | 2 | 13-20 | 65% | 5-9 | 56% | 5-6 | 83% | 0 | 1 | 0 | 1 | 1 | 0 | N/A | Atlanta |\n| Paul Millsap | 37 | 27 | 9 | 1 | 9-16 | 56% | 1-4 | 25% | 8-10 | 80% | 0 | 0 | 1 | 2 | 7 | 3 | F | Atlanta |\n| Dennis Schroder | 32 | 17 | 2 | 7 | 7-15 | 47% | 1-5 | 20% | 2-2 | 100% | 1 | 5 | 0 | 1 | 1 | 4 | G | Atlanta |\n| Dwight Howard | 27 | 15 | 10 | 2 | 6-12 | 50% | 0-0 | 0% | 3-6 | 50% | 2 | 1 | 1 | 4 | 6 | 3 | C | Atlanta |\n| Kent Bazemore | 35 | 14 | 4 | 7 | 5-12 | 42% | 2-5 | 40% | 2-2 | 100% | 1 | 1 | 2 | 0 | 4 | 1 | G | Atlanta |\n| Ersan Ilyasova | 23 | 10 | 8 | 2 | 4-4 | 100% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 0 | 1 | 7 | 2 | N/A | Atlanta |\n| Thabo Sefolosha | 31 | 5 | 5 | 6 | 2-7 | 29% | 1-2 | 50% | 0-2 | 0% | 0 | 1 | 0 | 2 | 3 | 0 | F | Atlanta |\n| Malcolm Delaney | 7 | 4 | 1 | 2 | 2-3 | 67% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Atlanta |\n| Taurean Prince | 12 | 2 | 2 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 0 | 2 | 1 | N/A | Atlanta |\n| Mike Muscala | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| DeAndre' Bembry | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Kris Humphries | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Ryan Kelly | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Cavaliers | | | | | | | | | | | | | | | | | | |\n| Kyrie Irving | 36 | 43 | 2 | 9 | 14-21 | 67% | 5-8 | 63% | 10-10 | 100% | 4 | 3 | 1 | 0 | 2 | 0 | G | Cleveland |\n| LeBron James | 39 | 38 | 13 | 8 | 14-27 | 52% | 6-10 | 60% | 4-8 | 50% | 0 | 2 | 0 | 1 | 12 | 4 | F | Cleveland |\n| Channing Frye | 25 | 11 | 4 | 1 | 4-7 | 57% | 3-6 | 50% | 0-0 | 0% | 0 | 1 | 1 | 1 | 3 | 3 | F | Cleveland |\n| Richard Jefferson | 16 | 11 | 2 | 0 | 4-7 | 57% | 3-5 | 60% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 6 | N/A | Cleveland |\n| Derrick Williams | 18 | 9 | 1 | 1 | 3-5 | 60% | 3-4 | 75% | 0-0 | 0% | 1 | 1 | 1 | 0 | 1 | 1 | N/A | Cleveland |\n| Kyle Korver | 30 | 9 | 2 | 3 | 3-8 | 38% | 3-7 | 43% | 0-0 | 0% | 1 | 2 | 1 | 0 | 2 | 2 | N/A | Cleveland |\n| Iman Shumpert | 28 | 8 | 3 | 1 | 2-7 | 29% | 2-6 | 33% | 2-2 | 100% | 0 | 1 | 0 | 1 | 2 | 2 | G | Cleveland |\n| Tristan Thompson | 31 | 4 | 5 | 1 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 2 | 3 | 4 | C | Cleveland |\n| Deron Williams | 17 | 2 | 1 | 7 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 2 | N/A | Cleveland |\n| Andrew Bogut | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| DeAndre Liggins | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| James Jones | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |" + } + ] + }, + { + "id": "table_recognition_train_item_48600", + "image": "table_instructV/images/TAT-QA_01eaaca6-97fd-4b63-a83b-1fcb831d2ef9.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| | 2019 | 2018 |\n| --- | --- | --- |\n| | £m | £m |\n| Net debt | 295.2 | 235.8 |\n| IFRS 16 lease liabilities | 38.9 | – |\n| Net debt and IFRS 16 lease liabilities | 334.1 | 235.8 |" + } + ] + }, + { + "id": "table_recognition_train_item_64948", + "image": "table_instructV/images/TabFact_2-10809529-13.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| home team | home team score | away team | away team score | venue | crowd | date |\n| --- | --- | --- | --- | --- | --- | --- |\n| melbourne | 24.19 (163) | st kilda | 8.10 (58) | mcg | 10000 | 17 july 1948 |\n| footscray | 10.14 (74) | richmond | 12.9 (81) | western oval | 20000 | 17 july 1948 |\n| north melbourne | 10.8 (68) | geelong | 10.15 (75) | arden street oval | 12000 | 17 july 1948 |\n| hawthorn | 9.12 (66) | essendon | 18.14 (122) | glenferrie oval | 12000 | 17 july 1948 |\n| south melbourne | 10.12 (72) | collingwood | 13.16 (94) | lake oval | 22000 | 17 july 1948 |\n| fitzroy | 12.12 (84) | carlton | 16.17 (113) | brunswick street oval | 27000 | 17 july 1948 |" + } + ] + }, + { + "id": "table_recognition_train_item_56138", + "image": "table_instructV/images/TabFact_2-16877259-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| rank | nation | gold | silver | bronze | total |\n| --- | --- | --- | --- | --- | --- |\n| 1 | sweden | 4 | 1 | 1 | 6 |\n| 2 | turkey | 1 | 4 | 2 | 7 |\n| 3 | hungary | 1 | 2 | 1 | 4 |\n| 4 | egypt | 1 | 0 | 2 | 3 |\n| 5 | finland | 1 | 0 | 0 | 1 |\n| 6 | lebanon | 0 | 1 | 0 | 1 |\n| 7 | italy | 0 | 0 | 1 | 1 |\n| 7 | norway | 0 | 0 | 1 | 1 |\n| total | total | 8 | 8 | 8 | 24 |" + } + ] + }, + { + "id": "table_recognition_train_item_59352", + "image": "table_instructV/images/TabFact_2-17058151-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 18 | december 2 | philadelphia | l 95 - 103 (ot) | derrick rose (24) | tyrus thomas (13) | ben gordon (4) | united center 20485 | 8 - 10 |\n| 19 | december 3 | milwaukee | l 90 - 97 (ot) | ben gordon (22) | drew gooden (9) | derrick rose (9) | bradley center 13684 | 8 - 11 |\n| 20 | december 6 | washington | w 117 - 110 (ot) | luol deng (26) | drew gooden (10) | derrick rose (8) | united center 21741 | 9 - 11 |\n| 21 | december 9 | new york | w 105 - 100 (ot) | drew gooden (22) | drew gooden (16) | derrick rose (7) | united center 19519 | 10 - 11 |\n| 22 | december 12 | memphis | l 96 - 103 (ot) | ben gordon (26) | drew gooden (13) | derrick rose (11) | fedexforum 17132 | 10 - 12 |\n| 23 | december 13 | new jersey | w 113 - 104 (ot) | ben gordon (29) | joakim noah (8) | ben gordon , derrick rose (6) | united center 21751 | 11 - 12 |\n| 24 | december 16 | charlotte | l 101 - 110 (ot) | ben gordon (25) | tyrus thomas , drew gooden (9) | derrick rose (7) | time warner cable arena 11225 | 11 - 13 |\n| 25 | december 17 | la clippers | w 115 - 109 (ot) | andrés nocioni , ben gordon (22) | drew gooden (11) | derrick rose (7) | united center 20102 | 12 - 13 |\n| 26 | december 19 | boston | l 108 - 126 (ot) | luol deng (19) | aaron gray (8) | derrick rose (5) | td banknorth garden 18624 | 12 - 14 |\n| 27 | december 20 | utah | w 106 - 98 (ot) | ben gordon (26) | joakim noah (9) | ben gordon , derrick rose , andrés nocioni (3) | united center 22046 | 13 - 14 |\n| 28 | december 23 | detroit | l 98 - 104 (ot) | larry hughes (19) | tyrus thomas (12) | ben gordon (7) | the palace of auburn hills 22076 | 13 - 15 |\n| 29 | december 26 | miami | l 77 - 90 (ot) | ben gordon (15) | aaron gray (11) | derrick rose (3) | american airlines arena 19600 | 13 - 16 |\n| 30 | december 27 | atlanta | l 117 - 129 (ot) | ben gordon (33) | tyrus thomas (9) | derrick rose (7) | philips arena 18031 | 13 - 17 |\n| 31 | december 29 | new jersey | w 100 - 87 (ot) | ben gordon (24) | andrés nocioni (8) | derrick rose (13) | izod center 18786 | 14 - 17 |\n| 32 | december 31 | orlando | l 94 - 113 (ot) | joakim noah (19) | joakim noah (11) | thabo sefolosha , andrés nocioni (4) | united center 21861 | 14 - 18 |" + } + ] + }, + { + "id": "table_recognition_train_item_101123", + "image": "table_instructV/images/ToTTo_train_table_4752.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Rank | Death toll | Magnitude | Location | Depth (km) | Date |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 6,000 | 6.5 | Ecuador Tungurahua Province, Ecuador | 15.0 | August 5 |\n| 2 | 3,500 | 7.5 | Tajikistan Districts of Republican Subordination, Tajikistan | 20.0 | July 10 |\n| 3 | 320 | 6.8 | Turkey Bingol Province, Turkey | 15.0 | August 17 |\n| 4 | 57 | 6.9 | Chile Araucania Region, Chile | 57.7 | April 20 |\n| 5 | 51 | 5.5 | China Sichuan Province, China | 0.0 | November 13 |\n| 6 | 21 | 7.3 | China southern Xinjiang Province, China | 10.0 | February 23 |\n| 7 | 16 | 7.1 | Philippines Luzon, Philippines | 15.0 | December 29 |" + } + ] + }, + { + "id": "table_recognition_train_item_60638", + "image": "table_instructV/images/TabFact_2-176521-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| official name | status | area km 2 | population | census ranking |\n| --- | --- | --- | --- | --- |\n| lincoln | parish | 159.83 | 6458 | 579 of 5008 |\n| burton | parish | 259.48 | 5421 | 667 of 5008 |\n| maugerville | parish | 921.31 | 1776 | 1445 of 5008 |\n| sheffield | parish | 271.95 | 853 | 2286 of 5008 |\n| blissville | parish | 342.40 | 926 | 2178 of 5008 |\n| northfield | parish | 304.06 | 643 | 2689 of 5008 |\n| gladstone | parish | 362.18 | 485 | 3051 of 5008 |" + } + ] + }, + { + "id": "table_recognition_train_item_105032", + "image": "table_instructV/images/ToTTo_train_table_21153.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Ranking | Name | Years | League | Total | Ref |\n| --- | --- | --- | --- | --- | --- |\n| 1 | Portugal Nené | 1968–1986 | 422 | 575 | |\n| 2 | Portugal Veloso | 1980–1995 | 379 | 538 | |\n| 3 | Portugal Luisão | 2003–2018 | 337 | 538 | |\n| 4 | Portugal Mário Coluna | 1954–1970 | 364 | 518 | |\n| 5 | Portugal Humberto Coelho | 1968–1975; 1977–1984 | 355 | 498 | |\n| 6 | Portugal Shéu | 1972–1989 | 349 | 487 | |\n| 7 | Portugal Manuel Bento | 1972–1990 | 329 | 465 | |" + } + ] + }, + { + "id": "table_recognition_train_item_108176", + "image": "table_instructV/images/ToTTo_train_table_34362.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Win | 14–2 | T.J. Dillashaw | TKO (punches) | UFC Fight Night: Cejudo vs. Dillashaw | January 19, 2019 | 1 | 0:32 | Brooklyn, New York, United States | Defended the UFC Flyweight Championship. Performance of the Night. |\n| Win | 13–2 | Demetrious Johnson | Decision (split) | UFC 227 | August 4, 2018 | 5 | 5:00 | Los Angeles, California, United States | Won the UFC Flyweight Championship. Fight of the Night. |\n| Win | 12–2 | Sergio Pettis | Decision (unanimous) | UFC 218 | December 2, 2017 | 3 | 5:00 | Detroit, Michigan, United States | |\n| Win | 11–2 | Wilson Reis | TKO (punches) | UFC 215 | September 9, 2017 | 2 | 0:25 | Edmonton, Alberta, Canada | Performance of the Night. |\n| Loss | 10–2 | Joseph Benavidez | Decision (split) | The Ultimate Fighter: Tournament of Champions Finale | December 3, 2016 | 3 | 5:00 | Las Vegas, Nevada, United States | Cejudo was deducted one point in round 1 due to repeated low blows. |\n| Loss | 10–1 | Demetrious Johnson | TKO (knees and punches) | UFC 197 | April 23, 2016 | 1 | 2:49 | Las Vegas, Nevada, United States | For the UFC Flyweight Championship. |\n| Win | 10–0 | Jussier Formiga | Decision (split) | The Ultimate Fighter Latin America 2 Finale: Magny vs. Gastelum | November 21, 2015 | 3 | 5:00 | Monterrey, Mexico | UFC Flyweight title eliminator. |\n| Win | 9–0 | Chico Camus | Decision (unanimous) | UFC 188 | June 13, 2015 | 3 | 5:00 | Mexico City, Mexico | |\n| Win | 8–0 | Chris Cariaso | Decision (unanimous) | UFC 185 | March 14, 2015 | 3 | 5:00 | Dallas, Texas, United States | Return to Flyweight. |\n| Win | 7–0 | Dustin Kimura | Decision (unanimous) | UFC on Fox: dos Santos vs. Miocic | December 13, 2014 | 3 | 5:00 | Phoenix, Arizona, United States | Return to Bantamweight. |\n| Win | 6–0 | Elias Garcia | Decision (unanimous) | Legacy FC 27 | January 31, 2014 | 3 | 5:00 | Houston, Texas, United States | Flyweight debut; Cejudo missed weight (128.5 lbs). |\n| Win | 5–0 | Ryan Hollis | Decision (unanimous) | Legacy FC 24 | October 11, 2013 | 3 | 5:00 | Dallas, Texas, United States | Catchweight (128 lbs) bout. |\n| Win | 4–0 | Miguelito Marti | TKO (punches) | Gladiator Challenge: American Dream | May 18, 2013 | 1 | 1:43 | Lincoln, California, United States | |\n| Win | 3–0 | Anthony Sessions | TKO (punches) | WFF 10: Cejudo v Sessions | April 19, 2013 | 1 | 4:23 | Chandler, Arizona, United States | Won the WFF Bantamweight Championship. |\n| Win | 2–0 | Sean Henry Barnett | TKO (punches) | Gladiator Challenge: Battleground | March 24, 2013 | 1 | 4:55 | San Jacinto, California, United States | |\n| Win | 1–0 | Michael Poe | TKO (punches) | WFF MMA: Pascua Yaqui Fights 4 | March 2, 2013 | 1 | 1:25 | Tucson, Arizona, United States | |" + } + ] + }, + { + "id": "table_recognition_train_item_31022", + "image": "table_instructV/images/TABMWP_3228.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Number of drawers | Number of pairs of jeans |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_32900", + "image": "table_instructV/images/TABMWP_23492.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 3 | 8 |\n| 4 | 15 |\n| 5 | 20 |" + } + ] + }, + { + "id": "table_recognition_train_item_32595", + "image": "table_instructV/images/TABMWP_19690.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| Number of stacks | Number of notebooks |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_55772", + "image": "table_instructV/images/TabFact_2-17124374-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| date | visitor | score | home | decision | series |\n| --- | --- | --- | --- | --- | --- |\n| april 7 | calgary | 3 - 5 | vancouver | cloutier | 1 - 0 |\n| april 9 | calgary | 2 - 1 | vancouver | kiprusoff | 1 - 1 |\n| april 11 | vancouver | 2 - 1 | calgary | hedberg | 2 - 1 |\n| april 13 | vancouver | 0 - 4 | calgary | kiprusoff | 2 - 2 |\n| april 15 | calgary | 2 - 1 | vancouver | kiprusoff | 3 - 2 |\n| april 17 | vancouver | 5 - 4 | calgary | auld | 3 - 3 |\n| april 19 | calgary | 2 - 1 | vancouver | kiprusoff | 4 - 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_117501", + "image": "table_instructV/images/Rotowire_train_table_3093.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pacers | Indiana | 118 | 26 | 33 | 27 | 32 | 37 | 49 | 13 | 53 | 92 | 50 | 29 | 34 | | | | |\n| Magic | Orlando | 86 | 28 | 19 | 23 | 16 | 15 | 45 | 10 | 37 | 70 | 24 | 21 | 44 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| Rodney Stuckey | 31 | 34 | 6 | 7 | 13-19 | 68% | 6-9 | 67% | 2-2 | 100% | 1 | 1 | 1 | 1 | 5 | 2 | N/A | Indiana |\n| Damjan Rudez | 27 | 17 | 0 | 5 | 6-8 | 75% | 5-7 | 71% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 0 | G | Indiana |\n| Luis Scola | 20 | 15 | 10 | 0 | 6-8 | 75% | 0-0 | 0% | 3-3 | 100% | 1 | 1 | 0 | 3 | 7 | 2 | N/A | Indiana |\n| George Hill | 25 | 13 | 1 | 6 | 5-14 | 36% | 2-8 | 25% | 1-2 | 50% | 1 | 1 | 0 | 0 | 1 | 3 | G | Indiana |\n| CJ Watson | 23 | 12 | 4 | 5 | 3-6 | 50% | 3-5 | 60% | 3-3 | 100% | 2 | 3 | 1 | 1 | 3 | 0 | N/A | Indiana |\n| Solomon Hill | 28 | 9 | 2 | 6 | 4-11 | 36% | 1-4 | 25% | 0-0 | 0% | 0 | 3 | 0 | 0 | 2 | 3 | F | Indiana |\n| Ian Mahinmi | 28 | 6 | 10 | 3 | 3-6 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 2 | 8 | 1 | N/A | Indiana |\n| Shayne Whittington | 5 | 4 | 2 | 0 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Indiana |\n| David West | 22 | 4 | 4 | 0 | 1-3 | 33% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 1 | 0 | 4 | 1 | F | Indiana |\n| Lavoy Allen | 5 | 2 | 4 | 2 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 2 | 2 | 0 | N/A | Indiana |\n| Roy Hibbert | 15 | 2 | 4 | 1 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 2 | 2 | 1 | C | Indiana |\n| Donald Sloan | 5 | 0 | 2 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Indiana |\n| Chris Copeland | 5 | 0 | 0 | 1 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Indiana |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Tobias Harris | 30 | 22 | 6 | 0 | 8-17 | 47% | 1-4 | 25% | 5-6 | 83% | 2 | 2 | 0 | 2 | 4 | 2 | F | Orlando |\n| Elfrid Payton | 32 | 14 | 3 | 6 | 5-13 | 39% | 0-0 | 0% | 4-6 | 67% | 1 | 2 | 1 | 2 | 1 | 3 | G | Orlando |\n| Victor Oladipo | 32 | 13 | 3 | 2 | 4-12 | 33% | 1-3 | 33% | 4-4 | 100% | 3 | 1 | 3 | 0 | 3 | 3 | G | Orlando |\n| Nikola Vucevic | 28 | 13 | 5 | 2 | 6-10 | 60% | 0-0 | 0% | 1-2 | 50% | 2 | 1 | 0 | 1 | 4 | 1 | C | Orlando |\n| Dewayne Dedmon | 17 | 6 | 8 | 0 | 3-4 | 75% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 2 | 6 | 3 | F | Orlando |\n| Kyle O'Quinn | 7 | 6 | 4 | 0 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 3 | 1 | 0 | N/A | Orlando |\n| Channing Frye | 19 | 3 | 1 | 0 | 1-5 | 20% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 3 | N/A | Orlando |\n| Willie Green | 9 | 3 | 1 | 0 | 1-2 | 50% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Orlando |\n| Aaron Gordon | 12 | 2 | 2 | 0 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 2 | 0 | 0 | N/A | Orlando |\n| Maurice Harkless | 16 | 2 | 4 | 2 | 1-6 | 17% | 0-1 | 0% | 0-2 | 0% | 0 | 1 | 0 | 4 | 0 | 1 | N/A | Orlando |\n| Ben Gordon | 6 | 2 | 3 | 0 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 0 | N/A | Orlando |\n| Andrew Nicholson | 13 | 0 | 2 | 0 | 0-7 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 2 | 1 | 1 | 0 | N/A | Orlando |\n| Luke Ridnour | 20 | 0 | 3 | 3 | 0-5 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 2 | 1 | 1 | N/A | Orlando |" + } + ] + }, + { + "id": "table_recognition_train_item_33716", + "image": "table_instructV/images/TABMWP_31965.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| | One prize | Two prizes |\n| --- | --- | --- |\n| Mini size | 5 | 2 |\n| Regular size | 4 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_108199", + "image": "table_instructV/images/ToTTo_train_table_34444.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Rank | Athlete | Nationality | #1 | #2 | #3 | #4 | #5 | #6 | Result | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| | Robert Harting | Germany (GER) | 68.25 | 67.04 | 67.80 | x | 67.80 | 69.43 | 69.43 | PB |\n| | Piotr Małachowski | Poland (POL) | 68.77 | 68.05 | 67.00 | x | 69.15 | 67.33 | 69.15 | NR |\n| | Gerd Kanter | Estonia (EST) | 65.91 | 65.65 | x | 66.88 | 66.24 | 65.45 | 66.88 | |\n| 4 | Virgilijus Alekna | Lithuania (LTU) | 66.36 | 66.32 | 65.68 | 64.53 | 66.24 | x | 66.36 | |\n| 5 | Casey Malone | United States (USA) | 63.61 | 61.59 | 65.64 | 64.84 | 65.98 | 66.06 | 66.06 | |\n| 6 | Zoltán Kővágó | Hungary (HUN) | x | 63.09 | 62.47 | x | 65.17 | 61.69 | 65.17 | |\n| 7 | Bogdan Pishchalnikov | Russia (RUS) | 62.03 | 63.29 | 63.18 | 64.26 | 65.02 | x | 65.02 | |\n| 8 | Gerhard Mayer | Austria (AUT) | 62.16 | 60.49 | 63.17 | x | 60.83 | x | 63.17 | |\n| 9 | Omar Ahmed El Ghazaly | Egypt (EGY) | 62.13 | 62.83 | 62.76 | | | | 62.83 | |\n| 10 | Mario Pestano | Spain (ESP) | 62.76 | x | 62.27 | | | | 62.76 | |\n| 11 | Jarred Rome | United States (USA) | 58.48 | 62.47 | x | | | | 62.47 | |\n| 12 | Frantz Kruger | Finland (FIN) | x | 59.77 | x | | | | 59.77 | |" + } + ] + }, + { + "id": "table_recognition_train_item_56864", + "image": "table_instructV/images/TabFact_2-1551805-10.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| tournament | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments | grand slam tournaments |\n| australian open | a | a | a | a | 2r | 3r | 1r | 1r | 2r | 1r | 1r | 2r | 1r | 3r | 1r |\n| french open | a | 1r | a | 3r | 4r | 3r | 4r | 2r | 1r | a | a | a | 2r | 2r | 1r |\n| wimbledon | a | 1r | a | 2r | sf | 1r | 4r | 2r | 2r | a | 2r | 1r | 3r | 4r | 4r |\n| us open | a | 3r | 2r | 4r | 3r | 4r | 1r | 4r | 3r | 2r | q1 | q1 | 1r | 1r | 1r |\n| win - loss | 0 - 0 | 2 - 3 | 1 - 1 | 6 - 3 | 11 - 4 | 7 - 4 | 6 - 4 | 5 - 4 | 4 - 4 | 1 - 2 | 1 - 2 | 1 - 2 | 3 - 4 | 6 - 4 | 3 - 4 |\n| atp masters series | atp masters series | atp masters series | atp masters series | atp masters series | atp masters series | atp masters series | atp masters series | atp masters series | atp masters series | atp masters series | atp masters series | atp masters series | atp masters series | atp masters series | atp masters series |\n| indian wells masters | a | 3r | a | a | 1r | 2r | 2r | 1r | 3r | a | 2r | a | a | 3r | 2r |\n| miami masters | a | 1r | 2r | a | 1r | 2r | 3r | 2r | 2r | a | 3r | a | 1r | 2r | 2r |\n| monte carlo masters | a | a | a | a | 1r | 1r | 1r | 2r | 1r | a | 1r | a | a | 1r | a |\n| rome masters | a | a | a | a | 3r | 1r | a | a | 2r | a | a | a | a | 2r | q2 |\n| madrid masters | a | a | a | a | 2r | a | 1r | a | 1r | a | a | a | a | 3r | a |\n| canada masters | a | a | a | 1r | 1r | 1r | 1r | 3r | qf | a | a | a | 2r | a | a |\n| cincinnati masters | a | 1r | a | 2r | 3r | 2r | 1r | 1r | 1r | a | a | a | a | 1r | a |\n| shanghai masters | not masters series | not masters series | not masters series | not masters series | not masters series | not masters series | not masters series | not masters series | not masters series | not masters series | not masters series | a | a | a | a |\n| paris masters | a | a | a | 3r | 2r | a | 2r | 1r | 1r | a | a | a | 1r | a | a |\n| hamburg masters | a | a | a | a | 1r | 2r | 1r | a | 1r | a | 1r | nms | nms | nms | nms |\n| win - loss | 0 - 0 | 2 - 3 | 1 - 1 | 3 - 3 | 6 - 9 | 3 - 7 | 4 - 8 | 3 - 6 | 7 - 9 | 0 - 0 | 3 - 4 | 0 - 0 | 1 - 3 | 6 - 6 | 2 - 2 |\n| career statistics | career statistics | career statistics | career statistics | career statistics | career statistics | career statistics | career statistics | career statistics | career statistics | career statistics | career statistics | career statistics | career statistics | career statistics | career statistics |\n| titles - finals | 0 - 1 | 0 - 1 | 0 - 0 | 0 - 2 | 0 - 0 | 0 - 0 | 0 - 2 | 1 - 1 | 0 - 2 | 2 - 2 | 0 - 0 | 0 - 0 | 0 - 0 | 0 - 1 | 0 - 0 |\n| year end ranking | 161 | 145 | 127 | 33 | 25 | 55 | 48 | 47 | 37 | 112 | 162 | 94 | 60 | 49 | 47 |" + } + ] + }, + { + "id": "table_recognition_train_item_116469", + "image": "table_instructV/images/Rotowire_train_table_2577.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Lakers | Los Angeles | 101 | 19 | 23 | 24 | 35 | 19 | 47 | 13 | 48 | 87 | 24 | 17 | 65 | | | | |\n| Jazz | Utah | 96 | 21 | 36 | 18 | 21 | 27 | 38 | 13 | 47 | 60 | 30 | 40 | 42 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Lakers | | | | | | | | | | | | | | | | | | |\n| Kobe Bryant | 42 | 60 | 4 | 4 | 22-50 | 44% | 6-21 | 29% | 10-12 | 83% | 1 | 2 | 1 | 0 | 4 | 1 | F | Los Angeles |\n| Jordan Clarkson | 34 | 12 | 7 | 1 | 6-10 | 60% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 2 | 5 | 1 | G | Los Angeles |\n| D'Angelo Russell | 36 | 9 | 4 | 5 | 4-10 | 40% | 0-3 | 0% | 1-1 | 100% | 2 | 2 | 0 | 0 | 4 | 3 | G | Los Angeles |\n| Larry Nance Jr. | 28 | 8 | 6 | 0 | 3-3 | 100% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 0 | 1 | 5 | 2 | N/A | Los Angeles |\n| Tarik Black | 18 | 4 | 7 | 0 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 1 | 2 | 5 | 4 | N/A | Los Angeles |\n| Roy Hibbert | 21 | 4 | 6 | 2 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 3 | 3 | 2 | C | Los Angeles |\n| Julius Randle | 33 | 2 | 9 | 1 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 1 | 0 | 9 | 2 | F | Los Angeles |\n| Marcelo Huertas | 26 | 2 | 4 | 6 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 0 | 0 | 4 | 2 | N/A | Los Angeles |\n| Ryan Kelly | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Los Angeles |\n| Lou Williams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Metta World Peace | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Brandon Bass | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Robert Sacre | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Jazz | | | | | | | | | | | | | | | | | | |\n| Trey Lyles | 39 | 18 | 11 | 3 | 7-15 | 47% | 2-6 | 33% | 2-3 | 67% | 5 | 3 | 0 | 2 | 9 | 2 | F | Utah |\n| Gordon Hayward | 32 | 17 | 2 | 3 | 6-16 | 38% | 2-6 | 33% | 3-5 | 60% | 0 | 2 | 0 | 1 | 1 | 2 | F | Utah |\n| Shelvin Mack | 35 | 12 | 5 | 6 | 5-12 | 42% | 0-4 | 0% | 2-2 | 100% | 0 | 3 | 0 | 1 | 4 | 2 | G | Utah |\n| Joe Ingles | 21 | 12 | 1 | 4 | 4-7 | 57% | 4-7 | 57% | 0-0 | 0% | 2 | 0 | 0 | 0 | 1 | 1 | N/A | Utah |\n| Jeff Withey | 28 | 10 | 9 | 1 | 4-7 | 57% | 0-0 | 0% | 2-3 | 67% | 1 | 1 | 1 | 1 | 8 | 3 | C | Utah |\n| Raul Neto | 19 | 8 | 1 | 4 | 4-7 | 57% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Utah |\n| Trevor Booker | 29 | 8 | 5 | 2 | 4-7 | 57% | 0-0 | 0% | 0-2 | 0% | 1 | 1 | 0 | 2 | 3 | 3 | N/A | Utah |\n| Chris Johnson | 20 | 7 | 2 | 1 | 3-5 | 60% | 1-3 | 33% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 2 | N/A | Utah |\n| Rodney Hood | 18 | 4 | 2 | 3 | 2-7 | 29% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 0 | 1 | 1 | 1 | G | Utah |\n| Trey Burke | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Derrick Favors | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Alec Burks | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Tibor Pleiss | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |" + } + ] + }, + { + "id": "table_recognition_train_item_34217", + "image": "table_instructV/images/TABMWP_37102.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 8 | 19 |\n| 9 | 14 |\n| 10 | 6 |" + } + ] + }, + { + "id": "table_recognition_train_item_54442", + "image": "table_instructV/images/TabFact_2-10672413-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| round | pick | player | position | school / club team |\n| --- | --- | --- | --- | --- |\n| 1 | 11 | pat harlow | offensive tackle | southern california |\n| 1 | 14 | leonard russell | running back | arizona state |\n| 2 | 41 | jerome henderson | defensive back | clemson |\n| 3 | 56 | calvin stephens | guard | south carolina |\n| 4 | 84 | scott zolak | quarterback | maryland |\n| 5 | 112 | jon vaughn | running back | michigan |\n| 5 | 124 | ben coates | tight end | livingstone |\n| 6 | 140 | david key | defensive back | michigan |\n| 7 | 168 | blake miller | center | louisiana state |\n| 8 | 196 | harry colon | defensive back | missouri |\n| 9 | 224 | o'neil glenn | guard | maryland |\n| 10 | 251 | randy bethel | tight end | miami (fl) |\n| 11 | 279 | vince moore | wide receiver | tennessee |\n| 11 | 303 | paul alsbury | punter | texas state |\n| 12 | 307 | tim edwards | defensive tackle | delta state |" + } + ] + }, + { + "id": "table_recognition_train_item_64336", + "image": "table_instructV/images/TabFact_2-18246956-16.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| date | score | set 1 | set 2 | total |\n| --- | --- | --- | --- | --- |\n| 3 july | 0 - 2 | 11:21 | 11:21 | 22:42 |\n| 3 july | 0 - 2 | 11:21 | 12:21 | 23:42 |\n| 3 july | 0 - 2 | 24:26 | 13:21 | 37:47 |\n| 3 july | 2 - 0 | 21:18 | 21:16 | 42:34 |\n| 3 july | 2 - 0 | 21:18 | 24:22 | 45:40 |\n| 3 july | 2 - 0 | 21:12 | 21:18 | 42:30 |\n| 3 july | 0 - 2 | 10:21 | 13:21 | 23:42 |\n| 3 july | 2 - 0 | 21:17 | 21:12 | 42:29 |" + } + ] + }, + { + "id": "table_recognition_train_item_69826", + "image": "table_instructV/images/TabFact_2-15442936-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| date | tournament | surface | partnering | opponents in the final | score |\n| --- | --- | --- | --- | --- | --- |\n| january 10 , 1994 | hobart , australia | hard | chanda rubin | jenny byrne rachel mcquillan | 7 - 5 , 4 - 6 , 7 - 6 (1) |\n| may 9 , 1994 | prague , czech republic | clay | amanda coetzer | kristie boogert laura golarsa | 6 - 4 , 3 - 6 , 6 - 2 |\n| may 8 , 1995 | prague , czech republic | clay | chanda rubin | maria lindström maria strandlund | 6 - 7 (3) , 6 - 3 , 6 - 2 |\n| september 25 , 1995 | beijing , china | hard | claudia porwik | wang shi - ting stephanie rottier | 6 - 1 , 6 - 0 |\n| june 10 , 1996 | birmingham , uk | grass | elizabeth smylie | lori mcneil nathalie tauziat | 6 - 3 , 3 - 6 , 6 - 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_66426", + "image": "table_instructV/images/TabFact_2-1160688-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| runs | against | city / country | venue | result | year |\n| --- | --- | --- | --- | --- | --- |\n| 120 | england | adelaide , australia | adelaide oval | won by 1 wicket | 1999 |\n| 101 | pakistan | visakhapatnam , india | indira priyadarshini stadium | won by 12 runs | 1999 |\n| 101 | england | colombo , sri lanka | r premadasa stadium | won by 66 runs | 2001 |\n| 116 | new zealand | sharjah , united arab emirates | sharjah cricket association stadium | won by 106 runs | 2001 |\n| 63 | zimbabwe | sharjah , united arab emirates | sharjah cricket association stadium | won by 79 runs | 2001 |\n| 96 | zimbabwe | colombo , sri lanka | r premadasa stadium | won by 59 runs | 2001 |\n| 106 | west indies | kandy , sri lanka | asgiriya stadium | won by 8 wickets | 2001 |\n| 94 | india | dambulla , sri lanka | rangiri dambulla international stadium | won by 4 wickets | 2005 |\n| 83 | india | colombo , sri lanka | r premadasa stadium | won by 18 runs | 2005 |\n| 50 | bangladesh | colombo , sri lanka | sinhalese sports club ground | won by 88 runs | 2005 |\n| 126 | england | chester - le - street , england | riverside ground | won by 8 wickets | 2006 |\n| 100 | england | manchester , england | old trafford | won by 33 runs | 2006 |\n| 115 | new zealand | jamaica , west indies | sabina park | won by 81 runs | 2007 (world cup semi final) |\n| 100 | canada | hambantota , sri lanka | mahinda rajapaksa international stadium | won by 210 runs | 2011 icc world cup |\n| 144 | england | leeds , england | headingley stadium | won by 69 runs | 2011 |\n| 84 | australia | kennington , england | oval | won by 2 wickets | 2013 |" + } + ] + }, + { + "id": "table_recognition_train_item_67662", + "image": "table_instructV/images/TabFact_2-14016027-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| date | venue | score | result | competition |\n| --- | --- | --- | --- | --- |\n| december 2 , 2009 | new laos national stadium , vientiane | 2 - 0 | 11 - 0 (w) | 2009 sea games |\n| december 19 , 2009 | new laos national stadium , vientiane | 1 - 0 | 3 - 1 (w) | 2009 sea games |\n| december 21 , 2009 | new laos national stadium , vientiane | 2 - 1 | 3 - 1 (w) | 2009 sea games |\n| october 21 , 2011 | my dinh stadium | 2 - 1 | 2 - 1 (w) | 2011 vff cup |\n| october 23 , 2011 | my dinh stadium | 1 - 1 | 1 - 1 (d) | 2011 vff cup |\n| november 9 , 2011 | gelora bung karno stadium | 2 - 1 | 2 - 1 (w) | 2011 sea games |\n| november 13 , 2011 | gelora bung karno stadium | 2 - 0 | 4 - 1 (w) | 2011 sea games |\n| november 13 , 2011 | gelora bung karno stadium | 3 - 0 | 4 - 1 (w) | 2011 sea games |" + } + ] + }, + { + "id": "table_recognition_train_item_66602", + "image": "table_instructV/images/TabFact_2-16441561-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| pick | cfl team | player | position | college |\n| --- | --- | --- | --- | --- |\n| 13 | hamilton | devin grant | ol | utah |\n| 14 | bc | matt kellett | k | saskatchewan |\n| 15 | montreal | scott flory | ol | saskatchewan |\n| 16 | calgary | harland ah you | dl | brigham young |\n| 17 | edmonton | scott deibert | rb | minot state |\n| 18 | montreal | william loftus | d | manitoba |\n| 19 | saskatchewan | kevin pressburger | lb | waterloo |\n| 20 | toronto | jermaine brown | rb | winona state |" + } + ] + }, + { + "id": "table_recognition_train_item_103845", + "image": "table_instructV/images/ToTTo_train_table_16041.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Season | Player | Position | Award |\n| --- | --- | --- | --- |\n| 2010 | Bryan Randall | Quarterback | Most Valuable Player |" + } + ] + }, + { + "id": "table_recognition_train_item_113213", + "image": "table_instructV/images/Rotowire_train_table_949.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pelicans | New Orleans | 113 | 32 | 22 | 32 | 27 | 23 | 42 | 13 | 44 | 78 | 35 | 0 | 4 | | | | |\n| Bucks | Milwaukee | 117 | 29 | 34 | 21 | 33 | 30 | 49 | 15 | 48 | 91 | 31 | 2 | 2 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pelicans | | | | | | | | | | | | | | | | | | |\n| Anthony Davis | 37 | 35 | 15 | 2 | 9-21 | 43% | 0-3 | 0% | 17-18 | 94% | 3 | 1 | 3 | 3 | 12 | 2 | C | New Orleans |\n| Tim Frazier | 37 | 20 | 3 | 9 | 7-12 | 58% | 1-3 | 33% | 5-6 | 83% | 3 | 3 | 1 | 1 | 2 | 4 | G | New Orleans |\n| Solomon Hill | 36 | 18 | 6 | 4 | 5-9 | 56% | 3-4 | 75% | 5-8 | 63% | 2 | 0 | 0 | 1 | 5 | 3 | F | New Orleans |\n| E'Twaun Moore | 36 | 17 | 0 | 3 | 7-13 | 54% | 3-6 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 2 | G | New Orleans |\n| Buddy Hield | 14 | 10 | 0 | 0 | 4-10 | 40% | 1-6 | 17% | 1-1 | 100% | 1 | 4 | 0 | 0 | 0 | 0 | N/A | New Orleans |\n| Omer Asik | 13 | 5 | 7 | 1 | 1-3 | 33% | 0-0 | 0% | 3-6 | 50% | 1 | 1 | 1 | 2 | 5 | 1 | N/A | New Orleans |\n| Dante Cunningham | 38 | 4 | 5 | 1 | 1-9 | 11% | 1-4 | 25% | 1-2 | 50% | 1 | 0 | 0 | 1 | 4 | 2 | F | New Orleans |\n| Alexis Ajinca | 6 | 2 | 2 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 1 | 1 | N/A | New Orleans |\n| Lance Stephenson | 15 | 2 | 3 | 3 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 3 | 1 | N/A | New Orleans |\n| Langston Galloway | 8 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 1 | N/A | New Orleans |\n| Jrue Holiday | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| Terrence Jones | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| Cheick Diallo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| Bucks | | | | | | | | | | | | | | | | | | |\n| Giannis Antetokounmpo | 34 | 24 | 9 | 7 | 10-19 | 53% | 1-6 | 17% | 3-4 | 75% | 1 | 2 | 2 | 3 | 6 | 5 | F | Milwaukee |\n| Jabari Parker | 29 | 21 | 2 | 0 | 7-14 | 50% | 0-1 | 0% | 7-7 | 100% | 0 | 1 | 0 | 1 | 1 | 1 | F | Milwaukee |\n| Malcolm Brogdon | 24 | 14 | 2 | 4 | 6-10 | 60% | 1-2 | 50% | 1-1 | 100% | 4 | 3 | 0 | 1 | 1 | 1 | N/A | Milwaukee |\n| Tony Snell | 33 | 13 | 10 | 2 | 5-12 | 42% | 3-9 | 33% | 0-0 | 0% | 0 | 1 | 0 | 1 | 9 | 2 | G | Milwaukee |\n| Michael Beasley | 13 | 12 | 1 | 0 | 5-9 | 56% | 0-1 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Milwaukee |\n| Matthew Dellavedova | 29 | 11 | 4 | 8 | 4-8 | 50% | 2-4 | 50% | 1-1 | 100% | 2 | 1 | 0 | 0 | 4 | 3 | G | Milwaukee |\n| Mirza Teletovic | 13 | 8 | 0 | 1 | 3-7 | 43% | 2-6 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Milwaukee |\n| Greg Monroe | 18 | 6 | 12 | 6 | 2-6 | 33% | 0-0 | 0% | 2-2 | 100% | 0 | 2 | 1 | 4 | 8 | 4 | N/A | Milwaukee |\n| Rashad Vaughn | 17 | 5 | 1 | 0 | 2-4 | 50% | 1-3 | 33% | 0-0 | 0% | 1 | 0 | 1 | 0 | 1 | 1 | N/A | Milwaukee |\n| Miles Plumlee | 14 | 3 | 3 | 1 | 0-2 | 0% | 0-0 | 0% | 3-4 | 75% | 0 | 2 | 1 | 0 | 3 | 3 | C | Milwaukee |\n| John Henson | 16 | 0 | 5 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 1 | 4 | 4 | N/A | Milwaukee |\n| Thon Maker | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Jason Terry | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |" + } + ] + }, + { + "id": "table_recognition_train_item_65790", + "image": "table_instructV/images/TabFact_2-1171445-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| outcome | date | championship | surface | opponent in the final | score in the final |\n| --- | --- | --- | --- | --- | --- |\n| winner | 1982 | stockholm , sweden | hard (i) | mats wilander | 7 - 6 (4) , 6 - 3 |\n| runner - up | 1983 | kitzbühel , austria | clay | guillermo vilas | 6 - 7 , 6 - 4 , 4 - 6 |\n| runner - up | 1983 | sydney indoor , australia | hard (i) | john mcenroe | 1 - 6 , 4 - 6 , 5 - 7 |\n| runner - up | 1984 | memphis , us | carpet | jimmy connors | 3 - 6 , 6 - 4 , 5 - 7 |\n| winner | 1984 | stuttgart outdoor , germany | clay | gene mayer | 7 - 6 (9) , 6 - 0 , 1 - 6 , 6 - 1 |\n| winner | 1985 | nice , france | clay | víctor pecci | 6 - 4 , 6 - 4 |\n| runner - up | 1985 | sydney indoor , australia | hard (i) | ivan lendl | 4 - 6 , 4 - 6 , 6 - 7 (6) |\n| winner | 1985 | sydney outdoor , australia | grass | kelly evernden | 6 - 7 (6) , 6 - 2 , 6 - 3 |\n| runner - up | 1986 | bristol , united kingdom | grass | vijay amritraj | 6 - 7 (6) , 6 - 1 , 6 - 8 |\n| winner | 1986 | geneva , switzerland | clay | thierry tulasne | 7 - 5 , 6 - 3 |\n| winner | 1986 | hamburg , germany | clay | miloslav mečíř | 6 - 2 , 5 - 7 , 6 - 4 , 6 - 2 |\n| winner | 1988 | nice , france | clay | jérôme potier | 6 - 2 , 6 - 2 |\n| runner - up | 1988 | hamburg , germany | clay | kent carlsson | 2 - 6 , 1 - 6 , 4 - 6 |\n| runner - up | 1988 | french open , paris | clay | mats wilander | 5 - 7 , 2 - 6 , 1 - 6 |\n| winner | 1988 | brussels , belgium | carpet | jakob hlasek | 7 - 6 (3) , 7 - 6 (6) , 6 - 4 |\n| winner | 1993 | halle , germany | grass | andriy medvedev | 6 - 2 , 6 - 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_60858", + "image": "table_instructV/images/TabFact_2-10258550-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| date | venue | score | result | competition |\n| --- | --- | --- | --- | --- |\n| 2008 - 05 - 27 | a le coq arena , tallinn | 1 - 0 | 1 - 1 | friendly match |\n| 2008 - 06 - 04 | a le coq arena , tallinn | 3 - 0 | 4 - 3 | friendly match |\n| 2008 - 11 - 12 | a le coq arena , tallinn | 1 - 0 | 1 - 1 | friendly match |\n| 2008 - 12 - 23 | estadio nueva condomina , murcia | 1 - 1 | 1 - 1 | unofficial friendly match |\n| 2010 - 10 - 08 | stadion fk partizan , belgrade | 1 - 1 | 1 - 3 | uefa euro 2012 qualifying |\n| 2011 - 05 - 25 | a le coq arena , tallinn | 1 - 1 | 1 - 2 | unofficial friendly match |\n| 2011 - 09 - 06 | a le coq arena , tallinn | 2 - 0 | 4 - 1 | uefa euro 2012 qualifying |\n| 2013 - 09 - 10 | ferenc puskás stadium , budapest | 1 - 3 | 1 - 5 | 2014 fifa world cup qualifying |" + } + ] + }, + { + "id": "table_recognition_train_item_114551", + "image": "table_instructV/images/Rotowire_train_table_1618.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Warriors | Golden State | 121 | 42 | 30 | 32 | 17 | 33 | 51 | 20 | 57 | 83 | 61 | 28 | 5 | | | | |\n| Raptors | Toronto | 111 | 17 | 38 | 32 | 24 | 24 | 45 | 7 | 39 | 82 | 37 | 22 | 9 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 36 | 28 | 7 | 7 | 9-18 | 50% | 3-6 | 50% | 7-7 | 100% | 0 | 2 | 0 | 1 | 6 | 3 | G | Golden State |\n| Kevin Durant | 38 | 22 | 17 | 7 | 8-15 | 53% | 3-5 | 60% | 3-5 | 60% | 0 | 6 | 5 | 0 | 17 | 0 | F | Golden State |\n| Klay Thompson | 35 | 21 | 6 | 2 | 8-18 | 44% | 5-7 | 71% | 0-0 | 0% | 1 | 2 | 2 | 1 | 5 | 3 | G | Golden State |\n| Draymond Green | 38 | 14 | 6 | 10 | 6-8 | 75% | 2-3 | 67% | 0-0 | 0% | 2 | 4 | 2 | 0 | 6 | 3 | F | Golden State |\n| Andre Iguodala | 30 | 11 | 3 | 2 | 5-5 | 100% | 0-0 | 0% | 1-2 | 50% | 1 | 1 | 0 | 1 | 2 | 0 | N/A | Golden State |\n| Ian Clark | 16 | 9 | 5 | 0 | 3-7 | 43% | 1-2 | 50% | 2-2 | 100% | 0 | 1 | 0 | 4 | 1 | 1 | N/A | Golden State |\n| Zaza Pachulia | 18 | 8 | 3 | 3 | 3-5 | 60% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 2 | 1 | 3 | C | Golden State |\n| David West | 10 | 4 | 2 | 1 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 0 | N/A | Golden State |\n| Shaun Livingston | 12 | 2 | 0 | 1 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 2 | N/A | Golden State |\n| JaVale McGee | 7 | 2 | 2 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Golden State |\n| Patrick McCaw | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Anderson Varejao | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Kevon Looney | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| DeMar DeRozan | 39 | 29 | 5 | 6 | 10-23 | 44% | 0-1 | 0% | 9-10 | 90% | 3 | 0 | 1 | 1 | 4 | 2 | G | Toronto |\n| Kyle Lowry | 40 | 27 | 6 | 11 | 9-22 | 41% | 5-12 | 42% | 4-5 | 80% | 2 | 3 | 0 | 2 | 4 | 3 | G | Toronto |\n| Terrence Ross | 34 | 24 | 7 | 1 | 10-23 | 44% | 4-9 | 44% | 0-0 | 0% | 2 | 0 | 0 | 3 | 4 | 4 | N/A | Toronto |\n| DeMarre Carroll | 28 | 13 | 7 | 1 | 5-12 | 42% | 3-5 | 60% | 0-0 | 0% | 3 | 1 | 2 | 3 | 4 | 1 | F | Toronto |\n| Jonas Valanciunas | 21 | 7 | 5 | 0 | 2-5 | 40% | 0-0 | 0% | 3-3 | 100% | 0 | 0 | 1 | 2 | 3 | 3 | C | Toronto |\n| Patrick Patterson | 33 | 5 | 5 | 0 | 2-9 | 22% | 1-5 | 20% | 0-0 | 0% | 0 | 2 | 1 | 1 | 4 | 1 | N/A | Toronto |\n| Cory Joseph | 17 | 4 | 4 | 4 | 1-5 | 20% | 0-1 | 0% | 2-2 | 100% | 1 | 1 | 0 | 3 | 1 | 2 | N/A | Toronto |\n| Norman Powell | 7 | 2 | 0 | 0 | 1-2 | 50% | 0-1 | 0% | 0-2 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Toronto |\n| Pascal Siakam | 4 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 0 | F | Toronto |\n| Lucas Nogueira | 17 | 0 | 5 | 1 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 2 | 0 | 1 | 3 | 2 | 2 | N/A | Toronto |\n| Jakob Poeltl | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Bruno Caboclo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Fred VanVleet | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |" + } + ] + }, + { + "id": "table_recognition_train_item_102592", + "image": "table_instructV/images/ToTTo_train_table_10825.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Number | Length (mi) | Length (km) | Southern or western terminus | Northern or eastern terminus | Local names | Formed | Removed | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CR A1A | — | — | New Smyrna Beach | Canaveral National Seashore | South Atlantic Avenue; Turtle Mound Road | — | — | Former SR A1A |\n| CR 3 | — | — | — | — | | — | — | Former SR 3; unsigned |\n| CR 3 | — | — | US 17 | US 17 | | — | — | Former SR 3; inventoried as CR 2825 north of SR 40 |\n| CR 15A | — | — | US 17 (SR 15) / SR 15A | SR 11 | North Spring Garden Avenue | — | — | Former SR 15A |\n| CR 92 | — | — | SR 15A at Glenwood Springs | US 17 / US 92 at North DeLand | International Speedway Boulevard | — | — | Part of a truck bypass for US 92 |\n| CR 201 | — | — | — | Volusia–Flagler county line | John Anderson Highway | — | — | |\n| CR 305 | — | — | Willow Point Boat Ramp in Lake George | Volusia–Flagler county line east of Seville | Lake George Road; Bunnell Road | — | — | Former SR 305 |\n| CR 415 | — | — | SR 44 | US 92 | Tomoka Farms Road | — | — | |\n| CR 421 | — | — | CR 415 | I-95 | Taylor Road | — | — | Extension of SR 421 |\n| CR 430 | — | — | — | — | | — | — | Extension of SR 430 |\n| CR 442 | — | — | — | — | | — | — | Extension of SR 442 |\n| CR 483 | — | — | — | — | Clyde Morris Boulevard | — | — | Extension of SR 483 |\n| CR 2001 | — | — | — | Volusia–Flagler county line | Old Kings Highway | — | — | |\n| CR 2002 | — | — | SR A1A | Volusia–Flagler county line | | — | — | |\n| CR 2803 | — | — | — | — | John Anderson Drive | — | — | |\n| CR 2813 | — | — | SR 40 at Ormand Beach | US 1 at Ormand Beach | Airport Road | — | — | Access Road to Ormond Beach Municipal Airport |\n| CR 2817 | — | — | CR 305 | US 17 | | — | — | Seville area |\n| CR 2820 | — | — | US 1 at National Gardens | CR 4011 at Tomoka State Park | Pine Tree Drive | — | — | |\n| CR 2831 | — | — | US 17 | CR 305 | | — | — | Seville area |\n| CR 2833 | — | — | — | — | | — | — | Pierson area |\n| CR 2851 | — | — | CR 2817 | US 17 | Brownlee Road; Roulerson Road | — | — | |\n| CR 4001 | — | — | — | — | Halifax Avenue | — | — | |\n| CR 4009 | — | — | CR 4118 at Daytona Beach | SR 40 | Williamson Boulevard | — | — | Designated a \"Scenic Thoroughfare\" by City of Daytona Beach; proposed southern extension to SR 44 |\n| CR 4011 | — | — | SR 430 at Daytona Beach | I-95 near Korona | Marco Polo Blvd; Old Dixie Highway | — | — | |\n| CR 4013 | — | — | — | — | | — | — | |\n| CR 4015 | — | — | — | — | Derbyshire Road | — | — | |\n| CR 4017 | — | — | SR 483 / CR 483 at Daytona Beach | CR 4019 at Daytona Beach | Jimmy Ann Drive | — | — | Designated a \"Scenic Thoroughfare\" by City of Daytona Beach |\n| CR 4019 | — | — | US 92 | CR 4011 | LPGA Boulevard; 11th Street | — | — | |\n| CR 4023 | — | — | US 17 | SR 40 | Lake Winona Boulevard | — | — | |\n| CR 4026 | — | — | — | — | Eighth Street | — | — | |\n| CR 4030 | — | — | US 17 at DeLeon Springs | SR 11 in rural Volusia County | Spring Garden Ranch Road; Arredondo Grant Road | — | — | Passes DeLeon Springs Heights |\n| CR 4034 | — | — | US 17 north of DeLeon Springs | SR 11 in rural Volusia County | Blackwelder Road | — | — | Passes Lake Winona |\n| CR 4040 | — | — | SR 483 / CR 483 at Daytona Beach | SR A1A at Daytona Beach | George W. Engram Boulevard; Fairview Avenue; Main Street | — | — | Crosses Halifax River via Main Street Bridge |\n| CR 4047 | — | — | US 17 north of DeLand | SR 11 | Marsh Road | — | — | East side of DeLand Municipal Airport |\n| CR 4050 | — | — | SR 5A at Daytona Beach | SR A1A at Daytona Beach | Orange Avenue; Silver Beach Avenue | — | — | Crosses Halifax River via Veterans Memorial Bridge |\n| CR 4053 | — | — | SR 44 north of DeLand Junction | US 17 north of DeLeon Springs | Grand Avenue | — | — | Former SR 40A; east side of Lake Woodruff NWR |\n| CR 4068 | — | — | US 92 at Daytona Beach | SR 483 near Daytona Beach International Airport | Bellevue Avenue Extension | — | — | |\n| CR 4072 | — | — | — | US 1 | Big Tree Road | — | — | |\n| CR 4075 | — | — | Ponce de Leon Inlet | SR A1A at Daytona Beach Shores | South Atlantic Avenue | — | — | |\n| CR 4079 | — | — | — | US 1 | Reed Canal Road | — | — | |\n| CR 4088 | — | — | — | — | Glenwood Road | — | — | |\n| CR 4089 | — | — | — | — | | — | — | |\n| CR 4093 | — | — | CR 4011 at Port Orange | US 1 / SR A1A at New Smyrna Beach | Turnbull Bay Road | — | — | West of New Smyrna Beach Municipal Airport |\n| CR 4101 | — | — | US 92 at DeLand | Deltona | North Kentucky Avenue | — | — | |\n| CR 4110 | — | — | CR 4125 | SR 44 | Old New York Avenue | — | — | Road to DeLand Junction |\n| CR 4116 | — | — | — | — | | — | — | |\n| CR 4118 | — | — | SR 44 | SR 44 Bus. | Pioneer Trail | — | — | Former SR 40A |\n| CR 4125 | — | — | — | — | | — | — | |\n| CR 4133 | — | — | — | — | Saxon Drive | — | — | |\n| CR 4135 | — | — | US 1 at Edgewater | — | Riverside Drive | — | — | |\n| CR 4136 | — | — | CR 4135 | CR 4137 at Edgewater | West Park Avenue | — | — | |\n| CR 4137 | — | — | SR 442 | SR 44 | Old Mission Road | — | — | |\n| CR 4139 | — | — | — | — | Macy Avenue | — | — | Former SR 430A |\n| CR 4142 | — | — | — | — | | — | — | |\n| CR 4143 | — | — | — | — | | — | — | |\n| CR 4145 | — | — | US 17 / US 92 at Orange City | SR 415 at Deltona | East Graves Avenue; Howland Boulevard | — | — | Former SR 430A west of CR 4101 |\n| CR 4146 | — | — | US 17 / US 92 | CR 4162 | Saxon Boulevard | — | — | |\n| CR 4147 | — | — | CR 4164 at Oak Hill | US 1 at Nucomer | Volco Road; Beacon Light Road | — | — | |\n| CR 4148 | — | — | — | — | Newmark Drive | — | — | |\n| CR 4152 | — | — | — | — | | — | — | |\n| CR 4153 | — | — | CR 5758 | CR 4152 | | — | — | |\n| CR 4154 | — | — | — | — | | — | — | |\n| CR 4155 | — | — | — | — | | — | — | |\n| CR 4156 | — | — | US 17 / US 92 at Orange City | CR 4162 at Enterprise | Enterprise Road | — | — | |\n| CR 4157 | — | — | — | — | | — | — | |\n| CR 4158 | — | — | — | — | | — | — | |\n| CR 4162 | — | — | US 17 / US 92 at Benson Junction | SR 415 at Osteen | Dirksen Avenue; DeBary Avenue | — | — | |\n| CR 4164 | — | — | SR 415 at Osteen | US 1 at Oak Hill | Osteen–Maytown Road; Maytown Road; West Halifax Avenue | — | — | |\n| CR 5758 | — | — | CR 4162 at Enterprise | SR 415 at Osteen | Enterprise–Osteen Road | — | — | |" + } + ] + }, + { + "id": "table_recognition_train_item_112203", + "image": "table_instructV/images/Rotowire_train_table_444.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Warriors | Golden State | 102 | 27 | 22 | 30 | 23 | 27 | 55 | 16 | 44 | 65 | 44 | 67 | 7 | | | | |\n| Wizards | Washington | 94 | 22 | 24 | 26 | 22 | 26 | 48 | 17 | 42 | 63 | 22 | 36 | 38 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 35 | 26 | 7 | 7 | 9-20 | 45% | 6-8 | 75% | 2-2 | 100% | 5 | 5 | 0 | 0 | 7 | 3 | G | Golden State |\n| Klay Thompson | 32 | 16 | 4 | 1 | 7-19 | 37% | 2-8 | 25% | 0-0 | 0% | 1 | 2 | 1 | 0 | 4 | 3 | G | Golden State |\n| Draymond Green | 36 | 15 | 16 | 9 | 4-6 | 67% | 3-4 | 75% | 4-4 | 100% | 1 | 2 | 2 | 0 | 16 | 3 | F | Golden State |\n| Harrison Barnes | 35 | 14 | 9 | 2 | 6-11 | 55% | 0-2 | 0% | 2-2 | 100% | 1 | 1 | 0 | 2 | 7 | 2 | F | Golden State |\n| Shaun Livingston | 20 | 8 | 4 | 2 | 4-7 | 57% | 0-0 | 0% | 0-2 | 0% | 0 | 1 | 0 | 1 | 3 | 2 | N/A | Golden State |\n| Marreese Speights | 10 | 7 | 2 | 1 | 3-7 | 43% | 0-1 | 0% | 1-3 | 33% | 0 | 1 | 1 | 0 | 2 | 4 | N/A | Golden State |\n| Leandro Barbosa | 22 | 6 | 3 | 3 | 2-6 | 33% | 0-1 | 0% | 2-2 | 100% | 0 | 1 | 0 | 1 | 2 | 2 | N/A | Golden State |\n| James Michael McAdoo | 5 | 3 | 0 | 0 | 1-2 | 50% | 0-0 | 0% | 1-4 | 25% | 0 | 0 | 1 | 0 | 0 | 1 | N/A | Golden State |\n| Anderson Varejao | 9 | 3 | 2 | 0 | 0-3 | 0% | 0-0 | 0% | 3-4 | 75% | 2 | 0 | 0 | 1 | 1 | 1 | N/A | Golden State |\n| Ian Clark | 17 | 2 | 2 | 0 | 1-4 | 25% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 1 | 0 | 2 | 1 | N/A | Golden State |\n| Andrew Bogut | 19 | 2 | 6 | 2 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 0 | 2 | 4 | 1 | C | Golden State |\n| Brandon Rush | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| Bradley Beal | 31 | 17 | 2 | 4 | 6-16 | 38% | 1-6 | 17% | 4-4 | 100% | 1 | 3 | 0 | 0 | 2 | 2 | G | Washington |\n| Markieff Morris | 24 | 15 | 8 | 0 | 5-12 | 42% | 3-7 | 43% | 2-2 | 100% | 0 | 4 | 1 | 0 | 8 | 3 | F | Washington |\n| Otto Porter | 34 | 11 | 6 | 0 | 4-9 | 44% | 0-1 | 0% | 3-4 | 75% | 2 | 0 | 2 | 0 | 6 | 2 | F | Washington |\n| Nene | 18 | 10 | 1 | 0 | 4-8 | 50% | 0-0 | 0% | 2-6 | 33% | 0 | 5 | 0 | 0 | 1 | 1 | N/A | Washington |\n| Marcin Gortat | 26 | 9 | 10 | 1 | 4-6 | 67% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 3 | 7 | 2 | C | Washington |\n| JJ Hickson | 6 | 9 | 5 | 0 | 4-6 | 67% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 2 | 3 | 0 | N/A | Washington |\n| John Wall | 34 | 8 | 5 | 11 | 4-14 | 29% | 0-3 | 0% | 0-2 | 0% | 1 | 2 | 4 | 1 | 4 | 2 | G | Washington |\n| Kelly Oubre Jr. | 5 | 6 | 1 | 0 | 2-3 | 67% | 0-1 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Washington |\n| Jared Dudley | 18 | 5 | 2 | 1 | 2-4 | 50% | 0-1 | 0% | 1-1 | 100% | 1 | 1 | 0 | 1 | 1 | 1 | N/A | Washington |\n| Garrett Temple | 18 | 3 | 1 | 2 | 1-2 | 50% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 3 | N/A | Washington |\n| Ramon Sessions | 17 | 1 | 4 | 3 | 0-3 | 0% | 0-0 | 0% | 1-2 | 50% | 1 | 2 | 0 | 0 | 4 | 1 | N/A | Washington |\n| Marcus Thornton | 10 | 0 | 3 | 4 | 0-3 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 1 | N/A | Washington |\n| Drew Gooden | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |" + } + ] + }, + { + "id": "table_recognition_train_item_103503", + "image": "table_instructV/images/ToTTo_train_table_14612.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Election year | Leader | No. of constituency votes | No. of party list votes | % of party list votes | No. of overall seats won | +/– | Government |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1949 | Konrad Adenauer | | 5,978,636 | 25.2 | 115 / 402 | | CDU/CSU–FDP–DP |\n| 1953 | Konrad Adenauer | 9,577,659 | 10,016,594 | 36.4 | 197 / 509 | 82 | CDU/CSU–FDP–DP |\n| 1957 | Konrad Adenauer | 11,975,400 | 11,875,339 | 39.7 | 222 / 519 | 25 | CDU/CSU–DP |\n| 1961 | Konrad Adenauer | 11,622,995 | 11,283,901 | 35.8 | 201 / 521 | 21 | CDU/CSU–FDP |\n| 1965 | Konrad Adenauer | 12,631,319 | 12,387,562 | 38.0 | 202 / 518 | 1 | CDU/CSU–SPD |\n| 1969 | Kurt Georg Kiesinger | 12,137,148 | 12,079,535 | 36.6 | 201 / 518 | 1 | Opposition |\n| 1972 | Rainer Barzel | 13,304,813 | 13,190,837 | 35.2 | 186 / 518 | 15 | Opposition |\n| 1976 | Helmut Kohl | 14,423,157 | 14,367,302 | 38.0 | 201 / 518 | 15 | Opposition |\n| 1980 | Helmut Kohl | 13,467,207 | 12,989,200 | 34.2 | 185 / 519 | 16 | Opposition |\n| 1983 | Helmut Kohl | 15,943,460 | 14,857,680 | 38.1 | 202 / 520 | 17 | CDU/CSU–FDP |\n| 1987 | Helmut Kohl | 14,168,527 | 13,045,745 | 34.4 | 185 / 519 | 17 | CDU/CSU–FDP |\n| 1990 | Helmut Kohl | 17,707,574 | 17,055,116 | 36.7 | 268 / 662 | 83 | CDU/CSU–FDP |\n| 1994 | Helmut Kohl | 17,473,325 | 16,089,960 | 34.2 | 244 / 672 | 24 | CDU/CSU–FDP |\n| 1998 | Helmut Kohl | 15,854,215 | 14,004,908 | 28.4 | 198 / 669 | 46 | Opposition |\n| 2002 | Angela Merkel | 15,336,512 | 14,167,561 | 29.5 | 190 / 603 | 8 | Opposition |\n| 2005 | Angela Merkel | 15,390,950 | 13,136,740 | 27.8 | 180 / 614 | 10 | CDU/CSU–SPD |\n| 2009 | Angela Merkel | 13,856,674 | 11,828,277 | 27.3 | 194 / 622 | 14 | CDU/CSU–FDP |\n| 2013 | Angela Merkel | 16,233,642 | 14,921,877 | 34.1 | 254 / 630 | 61 | CDU/CSU–SPD |\n| 2017 | Angela Merkel | 14,027,804 | 12,445,832 | 26.8 | 200 / 709 | 54 | CDU/CSU–SPD |" + } + ] + }, + { + "id": "table_recognition_train_item_103380", + "image": "table_instructV/images/ToTTo_train_table_14170.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Year | Serial | Role | Channel |\n| --- | --- | --- | --- |\n| 1999-2000 | Chithi | Baby Kaveri | Sun TV |\n| 2004–2006 | Manaivi | Viji | Sun TV |\n| 2006–2009 | Kana Kaanum Kaalangal | Raghavi | STAR Vijay |\n| 2007-2011 | Magal | Janani | Sun TV |\n| 2009 | Jodi Number One | Herself | STAR Vijay |\n| 2009–2010 | Anbe Vaa | Angel | STAR Vijay |\n| 2009–2015 | Thendral | Deepa | Sun TV |\n| 2010-2015 | Mudhanai Mudichu | Vedhavalli | Sun TV |" + } + ] + }, + { + "id": "table_recognition_train_item_115283", + "image": "table_instructV/images/Rotowire_train_table_1984.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Lakers | Los Angeles | 89 | 27 | 30 | 13 | 19 | 15 | 34 | 15 | 47 | 72 | 37 | 12 | 24 | | | | |\n| Mavericks | Dallas | 101 | 26 | 24 | 31 | 20 | 24 | 42 | 15 | 49 | 79 | 45 | 10 | 23 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Lakers | | | | | | | | | | | | | | | | | | |\n| Julius Randle | 28 | 18 | 4 | 3 | 5-10 | 50% | 0-1 | 0% | 8-10 | 80% | 0 | 4 | 0 | 1 | 3 | 3 | F | Los Angeles |\n| Nick Young | 30 | 17 | 2 | 1 | 6-8 | 75% | 5-6 | 83% | 0-0 | 0% | 1 | 0 | 0 | 0 | 2 | 0 | G | Los Angeles |\n| D'Angelo Russell | 31 | 15 | 4 | 6 | 5-15 | 33% | 1-5 | 20% | 4-4 | 100% | 2 | 3 | 0 | 0 | 4 | 3 | G | Los Angeles |\n| Jordan Clarkson | 30 | 15 | 1 | 0 | 7-11 | 64% | 1-3 | 33% | 0-2 | 0% | 3 | 2 | 0 | 0 | 1 | 2 | N/A | Los Angeles |\n| Lou Williams | 21 | 10 | 1 | 3 | 3-7 | 43% | 0-2 | 0% | 4-5 | 80% | 0 | 4 | 0 | 0 | 1 | 2 | N/A | Los Angeles |\n| Thomas Robinson | 19 | 8 | 10 | 0 | 4-5 | 80% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 1 | 4 | 6 | 3 | N/A | Los Angeles |\n| Luol Deng | 34 | 3 | 2 | 1 | 1-4 | 25% | 0-1 | 0% | 1-2 | 50% | 1 | 0 | 0 | 0 | 2 | 1 | F | Los Angeles |\n| Brandon Ingram | 32 | 3 | 6 | 1 | 1-5 | 20% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 0 | 1 | 5 | 3 | N/A | Los Angeles |\n| Timofey Mozgov | 16 | 0 | 4 | 0 | 0-3 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 3 | 1 | C | Los Angeles |\n| Marcelo Huertas | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Metta World Peace | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Tarik Black | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Jose Calderon | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Mavericks | | | | | | | | | | | | | | | | | | |\n| Wesley Matthews | 35 | 20 | 6 | 2 | 6-14 | 43% | 4-9 | 44% | 4-6 | 67% | 0 | 0 | 0 | 1 | 5 | 1 | G | Dallas |\n| Harrison Barnes | 36 | 17 | 9 | 4 | 6-17 | 35% | 1-4 | 25% | 4-4 | 100% | 1 | 2 | 0 | 2 | 7 | 1 | F | Dallas |\n| Dwight Powell | 14 | 14 | 6 | 0 | 7-9 | 78% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 5 | 1 | N/A | Dallas |\n| Devin Harris | 21 | 14 | 1 | 2 | 5-10 | 50% | 3-5 | 60% | 1-1 | 100% | 0 | 2 | 0 | 0 | 1 | 1 | N/A | Dallas |\n| Dorian Finney-Smith | 32 | 12 | 3 | 2 | 4-8 | 50% | 3-7 | 43% | 1-2 | 50% | 1 | 1 | 0 | 1 | 2 | 0 | F | Dallas |\n| Deron Williams | 33 | 8 | 1 | 11 | 3-6 | 50% | 1-3 | 33% | 1-1 | 100% | 2 | 6 | 0 | 0 | 1 | 6 | G | Dallas |\n| Seth Curry | 25 | 7 | 1 | 1 | 3-6 | 50% | 1-1 | 100% | 0-0 | 0% | 3 | 1 | 0 | 0 | 1 | 4 | N/A | Dallas |\n| Salah Mejri | 12 | 4 | 6 | 0 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 3 | 3 | 0 | N/A | Dallas |\n| Justin Anderson | 10 | 3 | 2 | 0 | 1-3 | 33% | 1-1 | 100% | 0-0 | 0% | 1 | 0 | 0 | 0 | 2 | 0 | N/A | Dallas |\n| Andrew Bogut | 22 | 2 | 7 | 2 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 1 | 2 | 5 | 3 | C | Dallas |\n| AJ Hammons | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| Nicolas Brussino | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| Pierre Jackson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |" + } + ] + }, + { + "id": "table_recognition_train_item_103293", + "image": "table_instructV/images/ToTTo_train_table_13840.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Rank | Island | Highest point | Height | Country | Other countries or territories on island |\n| --- | --- | --- | --- | --- | --- |\n| 1 | New Guinea | Puncak Jaya | 4884 m 16,024 ft | Indonesia | Papua New Guinea |\n| 2 | Hawaii | Mauna Kea | 4207 m 13,802 ft | United States | |\n| 3 | Borneo | Mount Kinabalu | 4095 m 13,435 ft | Malaysia | Indonesia Brunei |\n| 4 | Taiwan | Jade Mountain (Yu Shan) | 3952 m 12,966 ft | Taiwan | |\n| 5 | Sumatra | Mount Kerinci | 3805 m 12,484 ft | Indonesia | |\n| 6 | Ross Island | Mount Erebus | 3794 m 12,448 ft | Antarctica but claimed by New Zealand | |\n| 7 | Honshū | Mount Fuji | 3776 m 12,388 ft | Japan | |\n| 8 | Lombok | Mount Rinjani | 3726 m 12,224 ft | Indonesia | |\n| 9 | South Island | Aoraki/Mount Cook | 3724 m 12,218 ft | New Zealand | |\n| 10 | Tenerife | Teide | 3718 m 12,198 ft | Spain | |\n| 11 | Greenland | Gunnbjørnsfjeld | 3694 m 12,119 ft | Greenland | |\n| 12 | Java | Semeru | 3676 m 12,060 ft | Indonesia | |\n| 13 | Sulawesi | Mount Latimojong | 3478 m 11,411 ft | Indonesia | |\n| 14 | Sicily | Mount Etna | 3329 m 10,922 ft | Italy | |\n| 15 | Siple Island | Mount Siple | 3110 m 10,200 ft | Antarctica | |\n| 16 | Hispaniola | Pico Duarte | 3098 m 10,164 ft | Dominican Republic | Haiti |\n| 17 | Réunion | Piton des Neiges | 3070 m 10,070 ft | France | |\n| 18 | Maui | Haleakala | 3055 m 10,023 ft | United States | |\n| 19 | Bali | Mount Agung | 3031 m 9944 ft | Indonesia | |\n| 20 | Seram | Mount Binaiya | 3027 m 9931 ft | Indonesia | |\n| 21 | Bioko | Pico Basilé | 3011 m 9879 ft | Equatorial Guinea | |\n| 22 | Alexander Island | Mount Stephenson | 2987 m 9800 ft | Antarctica | |\n| 23 | Timor | Gunung Tata Mailau | 2986 m 9797 ft | Timor-Leste | Indonesia |\n| 24 | Mindanao | Mount Apo | 2954 m 9692 ft | Philippines | |\n| 25 | South Georgia | Mount Paget | 2935 m 9629 ft | South Georgia and the South Sandwich Islands, overseas territory of the United Kingdom | |\n| 26 | Luzon | Mount Pulag | 2926 m 9600 ft | Philippines | |\n| 27 | Madagascar | Maromokotro | 2876 m 9436 ft | Madagascar | |\n| 28 | Unimak Island, Alaska | Mount Shishaldin | 2869 m 9413 ft | United States | |\n| 29 | Sumbawa | Mount Tambora | 2850 m 9350 ft | Indonesia | |\n| 30 | Fogo | Mount Fogo | 2829 m 9281 ft | Cape Verde | |\n| 31 | North Island | Mount Ruapehu | 2797 m 9177 ft | New Zealand | |\n| 32 | Anvers Island | Mount Francais | 2760 m 9060 ft | Antarctica | |\n| 33 | Heard Island | Mawson Peak | 2745 m 9006 ft | Heard Island and McDonald Islands, territory of Australia | |\n| 34 | Bougainville | Mount Balbi | 2715 m 8907 ft | Papua New Guinea | |\n| 35 | Corsica | Monte Cinto | 2706 m 8878 ft | France | |\n| 36 | Ellesmere Island | Barbeau Peak | 2616 m 8583 ft | Canada | |\n| 37 | Mindoro | Mount Halcón | 2586 m 8484 ft | Philippines | |\n| 38 | Tierra del Fuego | Monte Shipton | 2580 m 8460 ft | Chile | Argentina |\n| 39 | Goodenough Island | Mount Vineuo | 2536 m 8320 ft | Papua New Guinea | |\n| 40 | Sri Lanka | Pidurutalagala | 2524 m 8281 ft | Sri Lanka | |\n| 41 | Brabant Island | Mount Parry | 2520 m 8270 ft | Antarctica | |\n| 42 | Crete | Mount Ida | 2456 m 8058 ft | Greece | |\n| 43 | Negros | Kanlaon | 2465 m 8087 ft | Philippines | |\n| 44 | Buru | Mount Kapalatmada | 2428 m 7966 ft | Indonesia | |\n| 45 | La Palma | Roque de los Muchachos | 2423 m 7949 ft | Spain | |\n| 46 | Flores | Poco Mandasawu | 2370 m 7780 ft | Indonesia | |\n| 47 | Grande Comore | Mount Karthala | 2361 m 7746 ft | Comoros | |\n| 48 | Pico Island, Azores | Ponta do Pico | 2351 m 7713 ft | Portugal | |\n| 49 | Atlasov Island, Kuril Islands | Alaid Volcano | 2339 m 7674 ft | Russia | |\n| 50 | New Britain | Mount Ulawun | 2334 m 7657 ft | Papua New Guinea | |\n| 51 | Guadalcanal | Mount Popomanaseu | 2332 m 7651 ft | Solomon Islands | |\n| 52 | Adelaide Island | Mount Gaudry | 2315 m 7595 ft | Antarctica | |\n| 53 | Clarence Island | Mount Irving | 2300 m 7500 ft | Antarctica | |\n| 54 | Hokkaidō | Asahidake | 2290 m 7510 ft | Japan | |\n| 55 | Jan Mayen | Beerenberg | 2277 m 7470 ft | Norway | |\n| 56 | Jamaica | Blue Mountain Peak | 2256 m 7402 ft | Jamaica | |\n| 57 | Tahiti | Mount Orohena | 2241 m 7352 ft | French Polynesia, dependent territory of France | |\n| 58 | Axel Heiberg Island | Outlook Peak | 2210 m 7250 ft | Canada | |\n| 59 | Milne Land | St. Thomas Lund Peak | 2200 m 7200 ft | Greenland | |\n| 60 | Vancouver Island | Golden Hinde | 2195 m 7201 ft | Canada | |\n| 61 | New Ireland | Mount Taron | 2379 m 7805 ft | Papua New Guinea | |\n| 62 | Baffin Island | Mount Odin | 2147 m 7044 ft | Canada | |\n| 63 | Panay | Mount Madia-as | 2117 m 6946 ft | Philippines | |\n| 64 | Bacan | Buku Sibela | 2111 m 6926 ft | Indonesia | |\n| 65 | Iceland | Hvannadalshnúkur | 2110 m 6920 ft | Iceland | |\n| 66 | Upernivik Island | Palup Qaqa | 2105 m 6906 ft | Greenland | |\n| 67 | Smith Island | Mount Foster | 2105 m 6906 ft | Antarctica | |\n| 68 | Umnak | Mount Vsevidof | 2149 m 7051 ft | United States | |\n| 69 | Palawan Island | Mount Mantalingahan | 2085 m 6841 ft | Philippines | |\n| 70 | Fergusson Island | Othona Peak | 2073 m 6801 ft | Papua New Guinea | |\n| 71 | Tristan da Cunha | Queen Mary's Peak | 2062 m 6765 ft | Tristan da Cunha, part of Saint Helena, Ascension and Tristan da Cunha, an overseas territory of the United Kingdom | |\n| 72 | Teresa Island | Birch Mountain | 2059 m 6755 ft | Canada (lake island in Atlin Lake) | |\n| 73 | Sibuyan Island | Mount Guiting-Guiting | 2057 m 6749 ft | Philippines | |\n| 74 | Unalaska Island | Mount Makushin | 2036 m 6680 ft | United States | |\n| 75 | São Tomé | Pico de São Tomé | 2024 m 6640 ft | São Tomé and Príncipe | |" + } + ] + }, + { + "id": "table_recognition_train_item_33941", + "image": "table_instructV/images/TABMWP_34248.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 7 | 10 |\n| 14 | 20 |\n| 2 | 13 |" + } + ] + }, + { + "id": "table_recognition_train_item_32795", + "image": "table_instructV/images/TABMWP_22205.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | Knee pain | Ankle pain |\n| --- | --- | --- |\n| 0-12 years old | 3 | 2 |\n| 13-19 years old | 8 | 6 |" + } + ] + }, + { + "id": "table_recognition_train_item_64720", + "image": "table_instructV/images/TabFact_1-24002100-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| world record | olimpiada ivanova ( rus ) | 1:25:41 | helsinki , finland | 7 august 2005 |\n| --- | --- | --- | --- | --- |\n| championship record | olimpiada ivanova ( rus ) | 1:25:41 | helsinki , finland | 7 august 2005 |\n| world leading | olga kaniskina ( rus ) | 1:24:56 | adler , russia | 28 february 2009 |\n| african record | susan vermeulen ( rsa ) | 1:36:18 | mézidon - canon , france | 2 may 1999 |\n| asian record | wang yan ( chn ) | 1:26:22 | guangzhou , china | 19 november 2001 |\n| north american record | graciela mendoza ( mex ) | 1:30:03 | mézidon - canon , france | 2 may 1999 |\n| south american record | miriam ramón ( ecu ) | 1:31:25 | lima , peru | 7 may 2005 |\n| european record | olimpiada ivanova ( rus ) | 1:25:41 | helsinki , finland | 7 august 2005 |" + } + ] + }, + { + "id": "table_recognition_train_item_67326", + "image": "table_instructV/images/TabFact_2-12206689-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| date | opponent | score | loss | attendance | record |\n| --- | --- | --- | --- | --- | --- |\n| august 1 | athletics | 4 - 1 | regilio (0 - 2) | 32646 | 57 - 46 |\n| august 3 | tigers | 5 - 4 | robertson (9 - 6) | 19894 | 58 - 46 |\n| august 4 | tigers | 8 - 0 | johnson (8 - 9) | 18857 | 59 - 46 |\n| august 5 | tigers | 2 - 1 | yan (1 - 3) | 25710 | 60 - 46 |\n| august 6 | orioles | 9 - 1 | regilio (0 - 3) | 29276 | 60 - 47 |\n| august 7 | orioles | 3 - 1 | erickson (0 - 1) | 44961 | 60 - 48 |\n| august 8 | orioles | 11 - 5 | rogers (13 - 5) | 32842 | 60 - 49 |\n| august 9 | orioles | 7 - 3 | bacsik (1 - 1) | 39850 | 60 - 50 |\n| august 10 | yankees | 7 - 1 | brown (9 - 2) | 43633 | 61 - 50 |\n| august 11 | yankees | 4 - 2 | regilio (0 - 4) | 43729 | 61 - 51 |\n| august 12 | yankees | 5 - 1 | erickson (0 - 2) | 48925 | 61 - 52 |\n| august 13 | devil rays | 5 - 3 | bell (5 - 6) | 30266 | 62 - 52 |\n| august 14 | devil rays | 6 - 5 | núñez (0 - 1) | 38620 | 63 - 52 |\n| august 15 | devil rays | 6 - 2 | sosa (3 - 2) | 23051 | 64 - 52 |\n| august 16 | indians | 5 - 2 | sabathia (9 - 7) | 23551 | 65 - 52 |\n| august 17 | indians | 16 - 4 | lee (10 - 5) | 24864 | 66 - 52 |\n| august 18 | indians | 5 - 2 | elarton (2 - 3) | 31572 | 67 - 52 |\n| august 20 | royals | 5 - 3 | wood (2 - 5) | 17385 | 68 - 52 |\n| august 21 | royals | 5 - 3 | anderson (2 - 11) | 25035 | 69 - 52 |\n| august 22 | royals | 10 - 2 | erickson (1 - 3) | 22286 | 69 - 53 |\n| august 23 | twins | 7 - 4 | rogers (15 - 6) | 23369 | 69 - 54 |\n| august 24 | twins | 5 - 4 | nathan (1 - 2) | 24496 | 70 - 54 |\n| august 25 | twins | 8 - 5 | drese (11 - 7) | 25332 | 70 - 55 |\n| august 26 | twins | 8 - 3 | mulholland (4 - 7) | 26083 | 71 - 55 |\n| august 27 | orioles | 6 - 4 | bédard (5 - 9) | 29409 | 72 - 55 |\n| august 28 | orioles | 4 - 3 | ryan (3 - 5) | 41676 | 73 - 55 |\n| august 29 | orioles | 7 - 6 | young (0 - 1) | 30577 | 73 - 56 |\n| august 31 | twins | 8 - 5 | almanzar (7 - 3) | 20510 | 73 - 57 |" + } + ] + }, + { + "id": "table_recognition_train_item_64046", + "image": "table_instructV/images/TabFact_2-10597959-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| type | released | cc license | sources available | open source movie | commercial reuse |\n| --- | --- | --- | --- | --- | --- |\n| documentary | 2002 | by 2.5 au | on demand | yes | yes |\n| short films | 7 / 2003 | by - nc - nd 1.0 | no | no | no |\n| short film (german) | 9 / 2003 | by - nc - sa 1.0 | no | no | no |\n| full feature | 04 / 2004 | by - nc - nd 1.0 | no | no | no |\n| documentary style | 2004 | by - nc - sa 2.0 | on demand | partially | no |\n| full feature | 2005 | by - nc - nd 3.0 | no | no | no |\n| animated short | 04 / 2006 | by 2.5 | yes | yes | yes |\n| full feature | 07 / 2006 | by - nc - sa 2.5 | yes | partially | no |\n| full feature | 2006 | by - nc - nd 2.5 | no | no | no |\n| remix project | 2006 | by - nc - sa 3.0 | yes | yes | no |\n| contemporary art project | 2007 | public domain | yes | yes | yes |\n| full feature | 2007 | by - nc - nd 3.0 | no | no | no |\n| animated short | 08 / 2008 | by 3.0 | yes | yes | yes |\n| feature film | 2008 | by - nc - sa 3.0 | yes | yes | no |\n| full feature | 9 october 2008 | by - nc 3.0 | no | no | no |\n| feature film | 12 / 2008 | by 3.0 | no | no | yes |\n| full feature | 3 / 2009 | cc0 1.0 | yes | no | yes |\n| short film | 3 / 1 / 2009 | by - nc - sa 3.0 (final) , by - sa 3.0 (source files) | yes | yes | no |\n| full feature | 5 / 2009 | by - nc - nd 3.0 | no | no | no |\n| feature film | 11 / 2009 | by 3.0 | no | no | yes |\n| feature film | 2009 | by - nc - sa 3.0 | no | no | no |\n| full feature | 01 / 2010 | by - sa 3.0 | yes | yes | yes |\n| feature film | 06 / 2010 | by 3.0 | no | no | yes |\n| feature film | 09 / 2010 | by - nc - sa 2.5 swedish | no | no | no |\n| animated short | 10 / 10 / 10 | by - nc - sa 3.0 | by - sa 3.0 | yes | no |\n| documentary | 30th april 2011 | by - nc - sa | no | no | no |\n| documentary | 9th june 2011 | by - nc - nd | no | no | no |\n| feature film | 2012 | by 3.0 | no | no | yes |" + } + ] + }, + { + "id": "table_recognition_train_item_65968", + "image": "table_instructV/images/TabFact_2-140968-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| rna segment (gene) | size ( s base pair ) | protein | molecular weight kda | location | copies per particle |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 3302 | vp1 | 125 | the vertices of the core | <25 |\n| 2 | 2690 | vp2 | 102 | forms inner shell of the core | 120 |\n| 3 | 2591 | vp3 | 88 | the vertices of the core | <25 |\n| 4 | 2362 | vp4 | 87 | surface spike | 120 |\n| 5 | 1611 | nsp1 | 59 | nonstructural | 0 |\n| 6 | 1356 | vp6 | 45 | inner capsid | 780 |\n| 7 | 1104 | nsp3 | 37 | nonstructural | 0 |\n| 8 | 1059 | nsp2 | 35 | nonstructural | 0 |\n| 9 | 1062 | vp7 1 vp7 2 | 38 and 34 | surface | 780 |\n| 10 | 751 | nsp4 | 20 | nonstructural | 0 |\n| 11 | 667 | nsp5 nsp6 | 22 | nonstructural | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_64056", + "image": "table_instructV/images/TabFact_2-16788123-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| position | team | played | wins | draws | losses | scored | conceded | points |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | cerro porteño | 9 | 5 | 2 | 2 | 14 | 7 | 17 |\n| 2 | libertad | 9 | 4 | 4 | 1 | 12 | 4 | 16 |\n| 3 | 12 de octubre | 9 | 5 | 1 | 3 | 15 | 10 | 16 |\n| 4 | cerro corá | 9 | 4 | 2 | 3 | 15 | 14 | 14 |\n| 5 | san lorenzo | 9 | 4 | 1 | 4 | 11 | 11 | 13 |\n| 6 | sportivo luqueño | 9 | 3 | 4 | 2 | 11 | 12 | 13 |\n| 7 | guaraní | 9 | 3 | 1 | 5 | 6 | 9 | 10 |\n| 8 | sol de américa | 9 | 2 | 3 | 4 | 11 | 16 | 9 |\n| 9 | atl colegiales | 9 | 2 | 3 | 4 | 6 | 11 | 9 |\n| 10 | olimpia | 9 | 2 | 1 | 6 | 6 | 13 | 7 |" + } + ] + }, + { + "id": "table_recognition_train_item_115571", + "image": "table_instructV/images/Rotowire_train_table_2128.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Rockets | Houston | 118 | 32 | 27 | 25 | 34 | 26 | 44 | 13 | 45 | 71 | 40 | 1 | 0 | | | | |\n| Mavericks | Dallas | 108 | 19 | 36 | 22 | 31 | 19 | 49 | 17 | 44 | 82 | 35 | 0 | 1 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Rockets | | | | | | | | | | | | | | | | | | |\n| James Harden | 39 | 24 | 2 | 11 | 4-11 | 36% | 1-5 | 20% | 15-17 | 88% | 1 | 3 | 0 | 0 | 2 | 1 | G | Houston |\n| Terrence Jones | 34 | 19 | 9 | 6 | 6-15 | 40% | 0-2 | 0% | 7-11 | 64% | 1 | 0 | 0 | 4 | 5 | 3 | F | Houston |\n| Jason Terry | 26 | 16 | 4 | 1 | 6-10 | 60% | 4-7 | 57% | 0-0 | 0% | 2 | 2 | 0 | 0 | 4 | 2 | G | Houston |\n| Corey Brewer | 24 | 15 | 0 | 1 | 5-11 | 46% | 3-4 | 75% | 2-3 | 67% | 0 | 0 | 0 | 0 | 0 | 3 | N/A | Houston |\n| Trevor Ariza | 38 | 12 | 11 | 6 | 3-6 | 50% | 2-2 | 100% | 4-4 | 100% | 3 | 1 | 0 | 1 | 10 | 0 | F | Houston |\n| Josh Smith | 25 | 11 | 7 | 1 | 5-14 | 36% | 0-2 | 0% | 1-4 | 25% | 1 | 4 | 2 | 2 | 5 | 1 | N/A | Houston |\n| Dwight Howard | 17 | 11 | 5 | 0 | 5-9 | 56% | 0-0 | 0% | 1-2 | 50% | 1 | 1 | 5 | 0 | 5 | 5 | C | Houston |\n| Clint Capela | 16 | 8 | 6 | 0 | 3-5 | 60% | 0-0 | 0% | 2-4 | 50% | 0 | 1 | 2 | 1 | 5 | 3 | N/A | Houston |\n| Pablo Prigioni | 21 | 2 | 0 | 0 | 1-4 | 25% | 0-3 | 0% | 0-0 | 0% | 2 | 1 | 0 | 0 | 0 | 4 | N/A | Houston |\n| KJ McDaniels | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Kostas Papanikolaou | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Joey Dorsey | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Nick Johnson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Mavericks | | | | | | | | | | | | | | | | | | |\n| Dirk Nowitzki | 34 | 24 | 8 | 2 | 10-14 | 71% | 1-1 | 100% | 3-3 | 100% | 0 | 6 | 0 | 2 | 6 | 5 | F | Dallas |\n| Monta Ellis | 39 | 16 | 0 | 4 | 5-16 | 31% | 2-4 | 50% | 4-6 | 67% | 2 | 3 | 1 | 0 | 0 | 5 | G | Dallas |\n| Rajon Rondo | 27 | 15 | 0 | 5 | 7-16 | 44% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 2 | G | Dallas |\n| J.J. Barea | 22 | 12 | 3 | 4 | 6-9 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 2 | 4 | N/A | Dallas |\n| Tyson Chandler | 31 | 11 | 18 | 0 | 5-8 | 63% | 0-0 | 0% | 1-2 | 50% | 2 | 2 | 1 | 8 | 10 | 2 | C | Dallas |\n| Chandler Parsons | 37 | 10 | 6 | 2 | 5-15 | 33% | 0-4 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 6 | 1 | F | Dallas |\n| Amar'e Stoudemire | 16 | 10 | 5 | 1 | 2-12 | 17% | 0-0 | 0% | 6-6 | 100% | 0 | 1 | 0 | 1 | 4 | 3 | N/A | Dallas |\n| Charlie Villanueva | 2 | 6 | 0 | 0 | 2-3 | 67% | 2-3 | 67% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Dallas |\n| Al-Farouq Aminu | 19 | 2 | 6 | 0 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 2 | 2 | 4 | 2 | N/A | Dallas |\n| Devin Harris | 10 | 2 | 2 | 1 | 1-3 | 33% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 1 | N/A | Dallas |\n| Richard Jefferson | 4 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Dallas |\n| Raymond Felton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| Bernard James | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |" + } + ] + }, + { + "id": "table_recognition_train_item_33245", + "image": "table_instructV/images/TABMWP_27390.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $855 | 3,000 | 5,300 |\n| $955 | 2,800 | 9,100 |\n| $1,055 | 2,600 | 12,900 |\n| $1,155 | 2,400 | 16,700 |\n| $1,255 | 2,200 | 20,500 |" + } + ] + }, + { + "id": "table_recognition_train_item_102469", + "image": "table_instructV/images/ToTTo_train_table_10295.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| Year | Title | Record label |\n| --- | --- | --- |\n| 2004 | My Task | Bonedog Records |\n| 2006 | One of These Days | Bonedog Records |" + } + ] + }, + { + "id": "table_recognition_train_item_31495", + "image": "table_instructV/images/TABMWP_8103.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 9 | 6 |\n| 10 | 16 |\n| 11 | 20 |" + } + ] + }, + { + "id": "table_recognition_train_item_35034", + "image": "table_instructV/images/TABMWP_21551.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Number of roofs | Number of parakeets |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_101708", + "image": "table_instructV/images/ToTTo_train_table_7234.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| No. | Title | Featured food/topic | Equipment | Original air date | Prod. code |\n| --- | --- | --- | --- | --- | --- |\n| 501 | \"Deep Space Slime\" | Gelatin dessert | Food mold (the tool, not the fungus) | October 24, 2001 | EA1E01 |\n| 502 | \"Oat Cuisine\" | Oats, haggis | Slow cooker | November 7, 2001 | EA1E06 |\n| 503 | \"Crepe Expectations\" | Crêpes | Crêpe pan, Teflon coating | November 28, 2001 | EA1E09 |\n| 504 | \"Celebrity Roast\" \"Family Roast\" | Standing rib roast, beef aging | DIY roaster, probe thermometer | December 5, 2001 | EA1E02 |\n| 505 | \"Scrap Iron Chef: Bacon Challenge\" | Bacon | — | January 9, 2002 | EA1E12 |\n| 506 | \"Deep Purple\" \"Berry from Another Planet\" | Eggplant | Peeler | January 16, 2002 | EA1E07 |\n| 507 | \"The Trouble with Cheesecake\" | Cheesecake | Springform pan | January 23, 2002 | EA1E04 |\n| 508 | \"Squid Pro Quo\" | Squid, wok cooking | DIY wok burner | January 30, 2002 | EA1E13 |\n| 509 | \"Art of Darkness II: Cocoa\" | Cocoa powder, brownies, syrup | Sifter, molinillo | February 13, 2002 | EA1E08 |\n| 510 | \"Squash Court\" | Squash | — | March 6, 2002 | EA1E03 |\n| 511 | \"For Whom the Cheese Melts II\" \"Use Your Noodle II\" | Macaroni and cheese | Casserole dish | April 3, 2002 | EA1E10 |\n| 512 | \"Shell Game II: Send in the Clams\" | Clams, chowder | — | April 10, 2002 | EA1E05 |\n| 513 | \"This Spud's for You Too\" | Potatoes: soup, salad, rösti | — | April 20, 2002 | EA1E11 |" + } + ] + }, + { + "id": "table_recognition_train_item_62776", + "image": "table_instructV/images/TabFact_1-11677100-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| player | position | school | hometown | mlb draft |\n| --- | --- | --- | --- | --- |\n| denard span | outfielder | tampa catholic high school | tampa , fl | 1st round - 20th pick of the 2002 draft ( twins ) |\n| zack greinke | pitcher | apopka high school | apopka , fl | 1st round - 6th pick of the 2002 draft ( royals ) |\n| scott kazmir | pitcher | cypress falls high school | houston , tx | 1st round - 15th pick of the 2002 draft ( mets ) |\n| jeff clement | catcher | marshalltown high school | marshalltown , ia | attended usc |\n| john mayberry jr | infielder | rockhurst high school | kansas city , mo | attended stanford |" + } + ] + }, + { + "id": "table_recognition_train_item_31111", + "image": "table_instructV/images/TABMWP_4190.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $915 | 8,900 | 21,900 |\n| $935 | 8,100 | 22,500 |\n| $955 | 7,300 | 23,100 |\n| $975 | 6,500 | 23,700 |\n| $995 | 5,700 | 24,300 |" + } + ] + }, + { + "id": "table_recognition_train_item_107242", + "image": "table_instructV/images/ToTTo_train_table_30405.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| Aircraft | Introduced | Retired |\n| --- | --- | --- |\n| Airbus A300 | 1981 | 2002 |\n| Airbus A340-300 | 1996 | 2016 |\n| Boeing 727-200 | 1972 | 2001 |\n| Boeing 737-300 | 1988 | 1990 |\n| Boeing 737-400 | 1998 | 2001 |\n| Boeing 747-100 | 1970 | 1981 |\n| Boeing 747-200 | 1972 | 2005 |\n| Boeing 747-300 | 2000 | 2005 |\n| Boeing 747-400 | 2004 | 2006 |\n| Boeing 757-200 | 1993 | 2008 |\n| Boeing 767-300 | 1998 | 2001 |\n| Bristol 170 Freighter Mk.31 | 1953 | 1963 |\n| Convair 440 | 1957 | 1972 |\n| de Havilland DH.89 Dragon Rapide | 1934 | 1953 |\n| Dornier Do J Wal | 1935 | 1936 |\n| Douglas DC-1 | 1938 | 1940 |\n| Douglas DC-2 | 1935 | 1946 |\n| Douglas DC-3 | 1944 | 1973 |\n| Douglas DC-4 | 1946 | 1968 |\n| Douglas DC-8 | 1961 | 1983 |\n| Douglas DC-9 | 1967 | 2001 |\n| Fokker F28 Fellowship | 1970 | 1975 |\n| Ford Trimotor | 1930 | 1946 |\n| Junkers G 24 | 1929 | 1936 |\n| Junkers Ju 52/3m | 1937 | 1957 |\n| Lockheed L-1011 TriStar | 1997 | 1998 |\n| Lockheed L-1049 Super Constellation | 1954 | 1966 |\n| McDonnell Douglas DC-10 | 1973 | 2000 |\n| McDonnell Douglas MD-87 | 1990 | 2008 |\n| McDonnell Douglas MD-88 | 1999 | 2008 |\n| Rohrbach Ro-VIII Roland | 1927 | 1929 |\n| SNCASE SE.161 Languedoc | 1952 | 1960 |\n| Sud Aviation Caravelle | 1962 | 1987 |" + } + ] + }, + { + "id": "table_recognition_train_item_31883", + "image": "table_instructV/images/TABMWP_12174.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of offices | Number of chairs |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | 40 |\n| 5 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_63724", + "image": "table_instructV/images/TabFact_2-18402956-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| rank | nation | gold | silver | bronze | total |\n| --- | --- | --- | --- | --- | --- |\n| 1 | great britain (gbr) | 17 | 3 | 0 | 20 |\n| 2 | united states (usa) | 5 | 4 | 4 | 13 |\n| 3 | australia (aus) | 3 | 5 | 7 | 15 |\n| 4 | germany (ger) | 3 | 6 | 4 | 13 |\n| 5 | spain (esp) | 3 | 5 | 3 | 11 |\n| 6 | czech republic (cze) | 2 | 2 | 4 | 8 |\n| 7 | italy (ita) | 2 | 1 | 3 | 6 |\n| 8 | switzerland (sui) | 2 | 0 | 0 | 2 |\n| 9 | japan (jpn) | 1 | 3 | 2 | 6 |\n| 10 | france (fra) | 1 | 1 | 2 | 4 |\n| 11 | south africa (rsa) | 1 | 1 | 1 | 3 |\n| 12 | austria (aut) | 1 | 1 | 0 | 2 |\n| 12 | belarus (blr) | 1 | 1 | 0 | 2 |\n| 14 | new zealand (nzl) | 1 | 0 | 3 | 4 |\n| 15 | poland (pol) | 1 | 0 | 1 | 2 |\n| 16 | china (chn) | 0 | 3 | 4 | 7 |\n| 17 | netherlands (ned) | 0 | 3 | 0 | 3 |\n| 18 | south korea (kor) | 0 | 1 | 1 | 2 |\n| 19 | finland (fin) | 0 | 1 | 0 | 1 |\n| 19 | romania (rou) | 0 | 1 | 0 | 1 |\n| 19 | slovakia (svk) | 0 | 1 | 0 | 1 |\n| 22 | canada (can) | 0 | 0 | 2 | 2 |\n| 22 | lebanon (lib) | 0 | 0 | 2 | 2 |\n| 23 | belgium (bel) | 0 | 0 | 1 | 1 |\n| total | total | 44 | 44 | 44 | 132 |" + } + ] + }, + { + "id": "table_recognition_train_item_53564", + "image": "table_instructV/images/TabFact_2-17972198-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| round | date | matches | clubs | new entries this round | prize money |\n| --- | --- | --- | --- | --- | --- |\n| preliminary round | 4 october 2008 | 51 | 263→212 | 102 | 1000 |\n| first round qualifying | 18 october 2008 | 72 | 212→140 | 93 | 2300 |\n| second round qualifying | 1 november 2008 | 36 | 140→104 | none | 3000 |\n| third round qualifying | 22 november 2008 | 40 | 104→64 | 44 | 4000 |\n| first round | 13 december 2008 | 32 | 64→32 | 24 | 5000 |\n| second round | 10 january 2009 | 16 | 32→16 | none | 6000 |\n| third round | 31 january 2009 | 8 | 16→8 | none | 7000 |\n| fourth round | 21 february 2009 | 4 | 8→4 | none | 8000 |\n| semi - finals | 14 march and 21 march 2009 | 2 | 4→2 | none | 16000 |\n| final | 9 may 2009 | 1 | 2 → 1 | none | winner : 50000 loser : 25000 |" + } + ] + }, + { + "id": "table_recognition_train_item_55196", + "image": "table_instructV/images/TabFact_2-129540-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| name | born | age on mission | mission | mission dates | service |\n| --- | --- | --- | --- | --- | --- |\n| frank borman | march 14 , 1928 (age85) | 40 | apollo 8 | december 21 - 27 , 1968 | air force |\n| jim lovell | march 25 , 1928 (age85) | 40 | apollo 8 | december 21 - 27 , 1968 | navy |\n| bill anders | october 17 , 1933 (age80) | 35 | apollo 8 | december 21 - 27 , 1968 | air force |\n| tom stafford | september 17 , 1930 (age83) | 38 | apollo 10 | may 18 - 26 , 1969 | air force |\n| john young | september 24 , 1930 (age83) | 38 | apollo 10 | may 18 - 26 , 1969 | navy |\n| eugene cernan | march 14 , 1934 (age79) | 35 | apollo 10 | may 18 - 26 , 1969 | navy |\n| mike collins | october 31 , 1930 (age83) | 38 | apollo 11 | july 16 - 24 , 1969 | air force |\n| dick gordon | october 5 , 1929 (age84) | 40 | apollo 12 | november 14 - 24 , 1969 | navy |\n| jim lovell | march 25 , 1928 (age85) | 42 | apollo 13 | april 11 - 17 , 1970 | navy |\n| jack swigert | august 30 , 1931 | 38 | apollo 13 | april 11 - 17 , 1970 | nasa |\n| fred haise | november 14 , 1933 (age80) | 36 | apollo 13 | april 11 - 17 , 1970 | nasa |\n| stu roosa | august 16 , 1933 | 37 | apollo 14 | january 31 - february 9 , 1971 | air force |\n| al worden | february 7 , 1932 (age81) | 39 | apollo 15 | july 26 - august 7 , 1971 | air force |\n| ken mattingly | march 17 , 1936 (age77) | 36 | apollo 16 | april 16 - 27 , 1972 | navy |\n| ron evans | november 10 , 1933 | 39 | apollo 17 | december 7 - 19 , 1972 | navy |" + } + ] + }, + { + "id": "table_recognition_train_item_30855", + "image": "table_instructV/images/TABMWP_1266.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 15 | 3 |\n| 16 | 2 |\n| 17 | 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_33326", + "image": "table_instructV/images/TABMWP_28296.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 2 | 18 |\n| 3 | 17 |\n| 4 | 16 |" + } + ] + }, + { + "id": "table_recognition_train_item_69548", + "image": "table_instructV/images/TabFact_2-10646790-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | stadium | record | attendance |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | september 14 , 1969 | denver broncos | l 35 - 7 | mile high stadium | 0 - 1 | 43679 |\n| 2 | september 21 , 1969 | kansas city chiefs | l 31 - 0 | alumni stadium | 0 - 2 | 22002 |\n| 3 | september 28 , 1969 | oakland raiders | l 38 - 23 | alumni stadium | 0 - 3 | 19069 |\n| 4 | october 5 , 1969 | new york jets | l 23 - 14 | alumni stadium | 0 - 4 | 25584 |\n| 5 | october 11 , 1969 | buffalo bills | l 23 - 16 | war memorial stadium | 0 - 5 | 46201 |\n| 6 | october 19 , 1969 | san diego chargers | l 13 - 10 | alumni stadium | 0 - 6 | 18346 |\n| 7 | october 26 , 1969 | new york jets | l 23 - 17 | shea stadium | 0 - 7 | 62298 |\n| 8 | november 2 , 1969 | houston oilers | w 24 - 0 | alumni stadium | 1 - 7 | 19006 |\n| 9 | november 9 , 1969 | miami dolphins | l 17 - 16 | alumni stadium | 1 - 8 | 19821 |\n| 10 | november 16 , 1969 | cincinnati bengals | w 25 - 14 | nippert stadium | 2 - 8 | 27927 |\n| 11 | november 23 , 1969 | buffalo bills | w 35 - 21 | alumni stadium | 3 - 8 | 25584 |\n| 12 | november 30 , 1969 | miami dolphins | w 38 - 23 | miami orange bowl | 4 - 8 | 32121 |\n| 13 | december 7 , 1969 | san diego chargers | l 28 - 18 | san diego stadium | 4 - 9 | 33146 |\n| 14 | december 14 , 1969 | houston oilers | l 27 - 23 | astrodome | 4 - 10 | 39215 |" + } + ] + }, + { + "id": "table_recognition_train_item_114315", + "image": "table_instructV/images/Rotowire_train_table_1500.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Magic | Orlando | 105 | 22 | 27 | 31 | 25 | 21 | 47 | 13 | 46 | 96 | 30 | 22 | 38 | | | | |\n| Hawks | Atlanta | 86 | 19 | 27 | 19 | 21 | 21 | 48 | 17 | 38 | 54 | 32 | 32 | 26 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Terrence Ross | 35 | 24 | 4 | 2 | 10-15 | 67% | 4-7 | 57% | 0-0 | 0% | 2 | 0 | 1 | 0 | 4 | 2 | F | Orlando |\n| Aaron Gordon | 24 | 18 | 3 | 3 | 7-11 | 64% | 0-2 | 0% | 4-4 | 100% | 2 | 1 | 0 | 0 | 3 | 2 | F | Orlando |\n| Nikola Vucevic | 29 | 16 | 14 | 1 | 6-14 | 43% | 0-1 | 0% | 4-4 | 100% | 2 | 2 | 2 | 3 | 11 | 3 | C | Orlando |\n| Elfrid Payton | 28 | 15 | 9 | 9 | 3-8 | 38% | 0-0 | 0% | 9-10 | 90% | 2 | 1 | 2 | 3 | 6 | 1 | G | Orlando |\n| D.J. Augustin | 21 | 8 | 0 | 2 | 3-6 | 50% | 2-4 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Orlando |\n| Evan Fournier | 34 | 7 | 4 | 1 | 2-11 | 18% | 1-7 | 14% | 2-2 | 100% | 2 | 2 | 0 | 0 | 4 | 4 | G | Orlando |\n| Jeff Green | 22 | 7 | 4 | 0 | 1-4 | 25% | 1-3 | 33% | 4-4 | 100% | 1 | 1 | 0 | 1 | 3 | 3 | N/A | Orlando |\n| Mario Hezonja | 23 | 4 | 4 | 2 | 2-6 | 33% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 4 | 3 | N/A | Orlando |\n| Stephen Zimmerman | 2 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Orlando |\n| Bismack Biyombo | 17 | 2 | 4 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 3 | 0 | 4 | 5 | N/A | Orlando |\n| CJ Wilcox | 3 | 2 | 0 | 0 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Orlando |\n| Damjan Rudez | 3 | 0 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Orlando |\n| Hawks | | | | | | | | | | | | | | | | | | |\n| Tim Hardaway Jr. | 33 | 15 | 3 | 0 | 6-11 | 55% | 2-6 | 33% | 1-2 | 50% | 1 | 3 | 0 | 1 | 2 | 2 | F | Atlanta |\n| Paul Millsap | 29 | 11 | 7 | 2 | 3-10 | 30% | 1-4 | 25% | 4-4 | 100% | 0 | 3 | 1 | 0 | 7 | 3 | F | Atlanta |\n| Dwight Howard | 29 | 11 | 14 | 1 | 3-7 | 43% | 0-0 | 0% | 5-13 | 39% | 0 | 1 | 1 | 4 | 10 | 4 | C | Atlanta |\n| Dennis Schroder | 31 | 11 | 5 | 8 | 4-17 | 24% | 1-5 | 20% | 2-3 | 67% | 0 | 1 | 1 | 0 | 5 | 1 | N/A | Atlanta |\n| Taurean Prince | 27 | 11 | 4 | 0 | 4-7 | 57% | 2-3 | 67% | 1-2 | 50% | 1 | 2 | 1 | 2 | 2 | 0 | N/A | Atlanta |\n| Kent Bazemore | 24 | 9 | 4 | 0 | 4-9 | 44% | 1-2 | 50% | 0-0 | 0% | 0 | 3 | 0 | 1 | 3 | 2 | G | Atlanta |\n| Thabo Sefolosha | 19 | 9 | 0 | 2 | 4-9 | 44% | 1-3 | 33% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 2 | N/A | Atlanta |\n| Ersan Ilyasova | 25 | 5 | 10 | 2 | 2-10 | 20% | 0-1 | 0% | 1-2 | 50% | 0 | 2 | 0 | 3 | 7 | 4 | N/A | Atlanta |\n| Malcolm Delaney | 15 | 2 | 0 | 4 | 1-4 | 25% | 0-1 | 0% | 0-0 | 0% | 1 | 2 | 0 | 0 | 0 | 1 | G | Atlanta |\n| DeAndre' Bembry | 4 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | Atlanta |\n| Mike Muscala | 3 | 0 | 0 | 2 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Atlanta |\n| Mike Dunleavy | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Kris Humphries | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |" + } + ] + }, + { + "id": "table_recognition_train_item_100886", + "image": "table_instructV/images/ToTTo_train_table_3717.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| # | Lt. Governor | Term Began | Term Ended | Governor(s) served under | Party |\n| --- | --- | --- | --- | --- | --- |\n| 1 | Othman A. Abbott | 1877 | 1879 | Silas Garber | Republican |\n| 2 | Edmund C. Carns | 1879 | 1883 | Albinus Nance | Republican |\n| 3 | Alfred W. Agee | 1883 | 1885 | James W. Dawes | Republican |\n| 4 | Hibbard H. Shedd | 1885 | 1889 | James W. Dawes John Milton Thayer | Republican |\n| 5 | George D. Meiklejohn | 1889 | 1891 | John Milton Thayer | Republican |\n| 6 | Thomas J. Majors | 1891 | 1895 | John Milton Thayer (Republican) James E. Boyd (Democratic) Lorenzo Crounse (Republican) | Republican |\n| 7 | Robert E. Moore | 1895 | 1897 | Silas A. Holcomb | Fusion (Democrat/Populist) |\n| 8 | James E. Harris | 1897 | 1899 | Silas A. Holcomb | Fusion (Democrat/Populist) |\n| 9 | Edward A. Gilbert | 1899 | 1901 | William A. Poynter | Republican |\n| 10 | Ezra P. Savage | 1901 | 1901 | Charles H. Dietrich | Republican |\n| 11 | Edmund G. McGilton | 1903 | 1907 | John H. Mickey | Republican |\n| 12 | Melville R. Hopewell | 1907 | May 2, 1911 (died) | George L. Sheldon (Republican) Ashton C. Shallenberger (Democratic) | Republican |\n| 13 | Samuel R. McKelvie | 1913 | 1915 | John H. Morehead | Republican |\n| 14 | James Pearson | 1915 | 1917 | John H. Morehead | Democrat |\n| 15 | Edgar Howard | 1917 | 1919 | Keith Neville | Democrat |\n| 16 | Pelham A. Barrows | 1919 | 1923 | Samuel R. McKelvie | Republican |\n| 17 | Fred G. Johnson | 1923 | 1925 | Charles W. Bryan | Republican |\n| 18 | George A. Williams | 1925 | 1931 | Adam McMullen Arthur J. Weaver | Republican |\n| 19 | Theodore W. Metcalfe | 1931 | 1933 | Charles W. Bryan | Republican |\n| 20 | Walter H. Jurgensen | 1933 | 1938 | Charles W. Bryan Robert Leroy Cochran | Democrat |\n| 21 | Nate M. Parsons | November 8, 1938 | 1939 | Robert Leroy Cochran | Democrat |\n| 22 | William E. Johnson | 1939 | 1943 | Robert Leroy Cochran (Democratic) Dwight Griswold (Republican) | Republican |\n| 23 | Roy W. Johnson | 1943 | 1947 | Dwight Griswold | Republican |\n| 24 | Robert B. Crosby | 1947 | 1949 | Val Peterson | Republican |\n| 25 | Charles J. Warner | 1949 | September 24, 1955 (died) | Val Peterson Robert B. Crosby Victor E. Anderson | Republican |\n| 26 | Dwight W. Burney | 1957 | 1965 | Ralph G. Brooks Dwight W. Burney Frank B. Morrison | Republican |\n| 27 | Philip C. Sorensen | 1965 | 1967 | Frank B. Morrison | Democrat |\n| 28 | John E. Everroad | 1967 | 1971 | Norbert T. Tiemann | Republican |\n| 29 | Frank Marsh | 1971 | 1975 | J. James Exon | Republican |\n| 30 | Gerald T. Whelan | 1975 | 1979 | J. James Exon | Democrat |\n| 31 | Roland A. Luedtke | 1979 | 1983 | Charles Thone | Republican |\n| 32 | Donald F. McGinley | 1983 | 1987 | J. Robert Kerrey | Democrat |\n| 33 | William E. Nichol | 1987 | 1991 | Kay A. Orr | Republican |\n| 34 | Maxine B. Moul | 1991 | 1993 (resigned) | Ben Nelson | Democrat |\n| 35 | Kim M. Robak | 1993 (appointed) | 1999 | Ben Nelson | Democrat |\n| 36 | David I. Maurstad | 1999 | 2001 (resigned) | Mike Johanns | Republican |\n| 37 | David Heineman | 2001 (appointed) | 2005 (became governor) | Mike Johanns | Republican |\n| 38 | Rick Sheehy | 2005 (appointed) | 2013 (resigned) | David Heineman | Republican |\n| 39 | Lavon Heidemann | 2013 (appointed) | 2014 (resigned) | David Heineman | Republican |\n| 40 | John E. Nelson | 2014 (appointed) | 2015 | David Heineman | Republican |\n| 41 | Mike Foley | 2015 | Incumbent | Pete Ricketts | Republican |" + } + ] + }, + { + "id": "table_recognition_train_item_49606", + "image": "table_instructV/images/TAT-QA_c1be0945-1444-4d45-9c26-ad2ab19aeff1.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| | Short-Term Incentive Plan | |\n| --- | --- | --- |\n| Strategy | Integrate and Transform | Operate |\n| Metrics | 2018 & 2019 Weighting | 2020 Weighting |\n| Adjusted EBITDA | 65% | 50% |\n| Free Cash Flow | 25% | 25% |\n| Revenue | — | 15% |\n| Customer Experience | 10% | 10% |\n| | Long-Term Incentive Plan | |\n| Strategy | Integrate and Transform | Operate |\n| Metrics | 2018 & 2019 Weighting | 2020 Weighting |\n| Adjusted EBITDA Run Rate (2 year) | 100% | — |\n| Cumulative Adjusted EBITDA (3 year) | — | 100% |\n| Relative TSR Modifier (3 year) | — | +/-20% |" + } + ] + }, + { + "id": "table_recognition_train_item_107566", + "image": "table_instructV/images/ToTTo_train_table_31764.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Year | Film | Role | Notes |\n| --- | --- | --- | --- |\n| 1982 | Saath Saath | | |\n| 1982 | Aadat Se Majboor | | |\n| 1982 | Gandhi | as Abha | |\n| 1982 | Yeh Nazdeekiyan | | |\n| 1982 | Jaipur Junction | | |\n| 1982 | Aadharshila | | |\n| 1983 | Jaane Bhi Do Yaaron | as Priya | |\n| 1983 | Mandi | as Vasanti | |\n| 1984 | Utsav | as Madanika | |\n| 1984 | Laila | as Salma | |\n| 1985 | Agnidaah | as Sunita | |\n| 1985 | Trikaal | as Milagrenia | |\n| 1987 | Taniya | | |\n| 1987 | Susman | as Mandira | |\n| 1988 | Rihaee | as Sukhi | |\n| 1988 | The Deceivers | as Gopal's Wife | |\n| 1989 | Batwara | | |\n| 1990 | Kaarnama | as Vyjayanti | |\n| 1990 | Swarg | as Naina | |\n| 1990 | Drishti | as Revati | |\n| 1991 | Vasthuhara | as Damayanthi | Malayalam film |\n| 1991 | Aadhi Mimansa | | |\n| 1992 | Aham | | Malayalam film |\n| 1992 | Zulm Ki Hukumat | as Yeshwant's wife | |\n| 1992 | Balwaan | | |\n| 1992 | The Seventh Horse of the Sun | Satti | |\n| 1992 | Yalgaar | as Kaushalya Kumar | |\n| 1992 | Angaar | Majid's Wife | (uncredited) |\n| 1992 | Kal Ki Awaz | Mrs. Fahmida Nooruddin Ahmed | |\n| 1993 | Khalnayak | Champa Didi | |\n| 1993 | Suraj Ka Satvan Ghoda | | |\n| 1993 | Veerta | as Uma | |\n| 1993 | Phir Teri Kahani Yaad Aayee | as Street Singer | (in song \"Shayarana Si Hai Zindagi\") |\n| 1993 | Bhagavad Gita (film) | as Drupadi | National Film Award for Best Feature Film |\n| 1993 | Aankhen | Chief minister's wife | (uncredited) |\n| 1994 | Woh Chokri | | National Film Award for Best Supporting Actress |\n| 1994 | Jazbaat | | |\n| 1994 | Eena Meena Deeka | | |\n| 1994 | Sone Ki Sita | | |\n| 1994 | Anth | Mrs. Vikas Saxena | |\n| 1994 | In Custody | as Sarla | |\n| 1995 | Nazar | | |\n| 1995 | Dushmani: A Violent Love Story | | |\n| 1997 | Uff! Yeh Mohabbat | as Billo | |\n| 1997 | Jeeo Shaan Se | | |\n| 1999 | Cotton Mary | Blossom (Mary's sister) | |\n| 2002 | Raat Ke Saudagar | | |\n| 2004 | Meri Biwi Ka Jawab Nahin | as Savitri | |\n| 2005 | Nazar | as Jogan | |\n| 2009 | Teree Sang | as Paaki M. Puri | |\n| 2009 | The White Elephant | | |\n| 2010 | Veer | Mangla | |\n| 2010 | Hello Zindagi | | |\n| 2010 | Na Ghar Ke Na Ghaat Ke | Mrs. S. Tripathi | |\n| 2010 | Chhevan Dariya (The Sixth River) | Gurjeet Kaur | |\n| 2012 | Mere Dost Picture Abhi Baaki Hai | as Mymmyji | |\n| 2013 | Issaq | as Amma | |\n| 2015 | Alone | as Sanjana's Mother | |\n| 2015 | The Threshold | Rinku | |\n| 2018 | Veere Di Wedding | Mrs. Sharma | |\n| 2018 | Mulk | Tabassum | |\n| 2018 | Badhaai Ho | Priyamvada Kaushik | Filmfare Critics Award for Best Actress Nominated –Filmfare Award for Best Actress |\n| 2020 | Panga | | Filming |" + } + ] + }, + { + "id": "table_recognition_train_item_53488", + "image": "table_instructV/images/TabFact_1-1342256-10.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| district | incumbent | party | first elected | result | candidates |\n| --- | --- | --- | --- | --- | --- |\n| florida 1 | j hardin peterson | democratic | 1932 | re - elected | j hardin peterson (d) unopposed |\n| florida 2 | robert a green | democratic | 1932 | ran in at - large district democratic hold | emory h price (d) unopposed |\n| florida 3 | robert l f sikes | democratic | 1940 | re - elected | robert l f sikes (d) unopposed |\n| florida 4 | pat cannon | democratic | 1938 | re - elected | pat cannon (d) 81.4% bert leigh acker (r) 18.6% |\n| florida 5 | joe hendricks | democratic | 1936 | re - elected | joe hendricks (d) 70.9% emory akerman (r) 29.1% |" + } + ] + }, + { + "id": "table_recognition_train_item_31150", + "image": "table_instructV/images/TABMWP_4617.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of restaurants | Number of booths |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_33692", + "image": "table_instructV/images/TABMWP_31692.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Number of farms | Number of goats |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_67384", + "image": "table_instructV/images/TabFact_2-17025228-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| rank | nation | gold | silver | bronze | total |\n| --- | --- | --- | --- | --- | --- |\n| 1 | south korea | 4 | 4 | 4 | 12 |\n| 2 | china | 2 | 0 | 1 | 3 |\n| 2 | spain | 2 | 0 | 1 | 3 |\n| 4 | chinese taipei | 1 | 1 | 2 | 4 |\n| 5 | croatia | 1 | 1 | 1 | 3 |\n| 5 | mexico | 1 | 1 | 1 | 3 |\n| 7 | turkey | 1 | 1 | 0 | 2 |\n| 8 | united states | 1 | 0 | 3 | 4 |\n| 9 | canada | 1 | 0 | 1 | 2 |\n| 9 | cuba | 1 | 0 | 1 | 2 |\n| 11 | mali | 1 | 0 | 0 | 1 |\n| 12 | thailand | 0 | 3 | 1 | 4 |\n| 13 | iran | 0 | 2 | 1 | 3 |\n| 14 | afghanistan | 0 | 1 | 0 | 1 |\n| 14 | azerbaijan | 0 | 1 | 0 | 1 |\n| 14 | france | 0 | 1 | 0 | 1 |\n| 17 | kazakhstan | 0 | 0 | 3 | 3 |\n| 17 | netherlands | 0 | 0 | 3 | 3 |\n| 19 | brazil | 0 | 0 | 2 | 2 |\n| 20 | dominican republic | 0 | 0 | 1 | 1 |\n| 20 | egypt | 0 | 0 | 1 | 1 |\n| 20 | germany | 0 | 0 | 1 | 1 |\n| 20 | hungary | 0 | 0 | 1 | 1 |\n| 20 | italy | 0 | 0 | 1 | 1 |\n| 20 | morocco | 0 | 0 | 1 | 1 |\n| 20 | norway | 0 | 0 | 1 | 1 |\n| total | total | 16 | 16 | 32 | 64 |" + } + ] + }, + { + "id": "table_recognition_train_item_58484", + "image": "table_instructV/images/TabFact_2-18513028-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| contestant name | episode | date premiered (2009) | winning amount | eliminated contestant |\n| --- | --- | --- | --- | --- |\n| kareena kapoor | 1 | may 30 | rs10 , 00000 | karishma kapoor |\n| daler mehndi | 2 | june 6 | rs10 , 00000 | mika singh |\n| darsheel safary | 3 | june 13 | rs1 , 00000 | tanay chheda |\n| katrina kaif | 4 | june 20 | rs10 , 00000 | neil nitin mukesh |\n| vijendra kumar | 5 | june 27 | rs 1 , 00000 | malika sherawat |\n| sunny deol | 6 | july 4 | rs 1 , 00000 | dharmendra |\n| kangana ranaut | 7 | july 11 | rs 1 , 00000 | pandit janardan |\n| shilpa shetty | 8 | july 18 | rs 1 , 00000 | irfan pathan |\n| sunil mishra | 9 | july 25 | rs 10000 | priyanka shukla |\n| farah khan | 10 | august 1 | rs 10 , 00000 | deepika padukone |\n| sanjay dutt | 11 | august 8 | rs 10 , 00000 | jackie shroff |\n| dutta pangare (dabba wala) | 12 | august 15 | rs 10 , 00000 | meena bhoir (macchi wali) |\n| kapil dev | 13 | august 22 | rs 1 , 00000 | navjot singh sidhu |\n| ragini khanna & ratan rajput | 14 | august 29 | rs 10 , 00000 | sara khan & tina dutta |\n| sunil shetty | 15 | september 5 | rs10 , 00000 | javed jaffrey & aftab shivdasani |\n| rani mukerjee | 16 | september 12 | rs 1 , 00000 | shahid kapoor |\n| boney kapoor & sri devi | 17 | september 19 | rs 1 , 00000 | prabhu deva & ayesha takia azmi |\n| ritesh deshmukh | 18 | september 26 | rs 10 , 00000 | govinda & david dhawan |\n| shatrughan sinha | 19 | october 3 | rs 10000 | hema malini |\n| himesh reshammiya | 20 | october 10 | rs 1 , 00000 | sonal sehgal & shenaz treasurywala |\n| ajay devgan | 21 - grand finale | october 17 | rs 10 , 00000 | fardeen khan |" + } + ] + }, + { + "id": "table_recognition_train_item_118013", + "image": "table_instructV/images/Rotowire_train_table_3349.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hornets | Charlotte | 103 | 31 | 26 | 28 | 18 | 19 | 41 | 7 | 48 | 83 | 22 | 5 | 15 | | | | |\n| Knicks | New York | 102 | 21 | 24 | 24 | 33 | 23 | 34 | 6 | 47 | 82 | 46 | 4 | 17 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Gerald Henderson | 31 | 22 | 2 | 2 | 8-10 | 80% | 2-3 | 67% | 4-5 | 80% | 0 | 1 | 1 | 0 | 2 | 2 | F | Charlotte |\n| Al Jefferson | 34 | 16 | 13 | 1 | 8-21 | 38% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 2 | 3 | 10 | 0 | C | Charlotte |\n| Lance Stephenson | 38 | 16 | 6 | 6 | 7-15 | 47% | 0-2 | 0% | 2-2 | 100% | 0 | 2 | 0 | 1 | 5 | 4 | G | Charlotte |\n| Gary Neal | 22 | 13 | 1 | 3 | 5-9 | 56% | 0-3 | 0% | 3-4 | 75% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Charlotte |\n| Kemba Walker | 39 | 11 | 4 | 4 | 4-15 | 27% | 0-2 | 0% | 3-3 | 100% | 1 | 1 | 1 | 1 | 3 | 1 | G | Charlotte |\n| Marvin Williams | 31 | 7 | 5 | 2 | 3-6 | 50% | 1-4 | 25% | 0-0 | 0% | 0 | 0 | 0 | 0 | 5 | 4 | N/A | Charlotte |\n| Bismack Biyombo | 14 | 7 | 3 | 0 | 3-3 | 100% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 2 | 3 | 0 | 3 | N/A | Charlotte |\n| Cody Zeller | 17 | 6 | 5 | 1 | 2-4 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 1 | 2 | 3 | 3 | F | Charlotte |\n| PJ Hairston | 5 | 3 | 1 | 0 | 1-3 | 33% | 1-3 | 33% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 1 | N/A | Charlotte |\n| Brian Roberts | 9 | 2 | 1 | 0 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Charlotte |\n| Jannero Pargo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Noah Vonleh | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Jason Maxiell | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Knicks | | | | | | | | | | | | | | | | | | |\n| Carmelo Anthony | 42 | 32 | 7 | 4 | 11-22 | 50% | 2-6 | 33% | 8-8 | 100% | 0 | 0 | 0 | 2 | 5 | 2 | F | New York |\n| JR Smith | 31 | 14 | 4 | 5 | 4-11 | 36% | 2-3 | 67% | 4-6 | 67% | 0 | 1 | 0 | 0 | 4 | 4 | N/A | New York |\n| Tim Hardaway Jr. | 18 | 13 | 2 | 1 | 4-10 | 40% | 3-7 | 43% | 2-2 | 100% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | New York |\n| Jose Calderon | 24 | 9 | 0 | 2 | 4-6 | 67% | 1-3 | 33% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | G | New York |\n| Amar'e Stoudemire | 27 | 7 | 5 | 2 | 3-5 | 60% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 1 | 0 | 5 | 3 | F | New York |\n| Samuel Dalembert | 21 | 6 | 8 | 1 | 3-6 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 2 | 2 | 6 | 0 | C | New York |\n| Jason Smith | 10 | 6 | 1 | 0 | 2-4 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | New York |\n| Quincy Acy | 12 | 5 | 4 | 0 | 2-4 | 50% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 4 | 2 | N/A | New York |\n| Iman Shumpert | 17 | 4 | 2 | 1 | 2-7 | 29% | 0-1 | 0% | 0-0 | 0% | 2 | 0 | 0 | 0 | 2 | 1 | G | New York |\n| Shane Larkin | 9 | 3 | 0 | 0 | 1-2 | 50% | 1-1 | 100% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 1 | N/A | New York |\n| Cole Aldrich | 4 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 0 | 3 | N/A | New York |\n| Pablo Prigioni | 21 | 1 | 0 | 7 | 0-0 | 0% | 0-0 | 0% | 1-2 | 50% | 2 | 0 | 0 | 0 | 0 | 3 | N/A | New York |\n| Travis Wear | 4 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | New York |" + } + ] + }, + { + "id": "table_recognition_train_item_52148", + "image": "table_instructV/images/TabFact_1-1342198-36.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| district | incumbent | party | first elected | result | candidates |\n| --- | --- | --- | --- | --- | --- |\n| oklahoma 1 | dixie gilmer | democratic | 1948 | lost re - election republican gain | george b schwabe (r) 52.9% dixie gilmer (d) 47.1% |\n| oklahoma 2 | william g stigler | democratic | 1944 | re - elected | william g stigler (d) 66.2% cleo crain (r) 33.8% |\n| oklahoma 3 | carl albert | democratic | 1946 | re - elected | carl albert (d) 82.8% charles powell (r) 17.2% |\n| oklahoma 4 | tom steed | democratic | 1948 | re - elected | tom steed (d) 68.1% glenn o young (r) 31.9% |\n| oklahoma 5 | a s mike monroney | democratic | 1938 | retired to run for u s senate democratic hold | john jarman (d) 58.8% c e barnes (r) 41.2% |\n| oklahoma 6 | toby morris | democratic | 1946 | re - elected | toby morris (d) 67.1% george campbell (r) 32.9% |" + } + ] + }, + { + "id": "table_recognition_train_item_58070", + "image": "table_instructV/images/TabFact_1-2618072-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| no in series | no in season | title | directed by | written by | original air date | production code |\n| --- | --- | --- | --- | --- | --- | --- |\n| 23 | 1 | confession | fred gerber | michael duggan & robert palm | september 17 , 1991 | 67416 |\n| 26 | 4 | asylum | kristoffer tabori | teleplay : kathy mccormick story : robert palm | october 8 , 1991 | 67409 |\n| 27 | 5 | god bless the child | ew swackhamer | david black & robert stuart nathan | october 22 , 1991 | 67404 |\n| 31 | 9 | renunciation | gwen arner | michael s chernuchin & joe morgenstern | november 19 , 1991 | 67414 |\n| 33 | 11 | his hour upon the stage | steve cohen | robert stuart nathan & giles blunt | december 10 , 1991 | 67407 |\n| 40 | 18 | cradle to grave | james frawley | robert stuart nathan & sally nemeth | march 31 , 1992 | 67424 |\n| 41 | 19 | the fertile fields | ed sherin | michael s chernuchin & renã balcer | april 7 , 1992 | 67425 |" + } + ] + }, + { + "id": "table_recognition_train_item_35551", + "image": "table_instructV/images/TABMWP_37255.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Number of shopping bags | Number of CDs |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | 20 |\n| 5 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_51516", + "image": "table_instructV/images/TAT-QA_eb889984-097c-45b2-8363-86150a462a60.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | Number of Shares | Weighted-Average Grant-Date |\n| --- | --- | --- |\n| | (in thousands) | Fair Value per Share |\n| Outstanding at December 31, 2018 | 3,263 | $20.23 |\n| Granted | 1,580 | 23.23 |\n| Vested | (1,541) | 20.16 |\n| Canceled | (378) | 21.52 |\n| Outstanding at December 31, 2019 | 2,924 | 21.72 |" + } + ] + }, + { + "id": "table_recognition_train_item_34769", + "image": "table_instructV/images/TABMWP_12847.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Number of shelves | Number of pairs of pants |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_57952", + "image": "table_instructV/images/TabFact_1-15887683-19.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| n degree | television service | country | language | content | dar | hdtv | ppv | package / option |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 981 | contotv 1 | italy | italian | general television | 4:3 | no | yes | qualsiasi |\n| 982 | contotv 2 | italy | italian | general television | 4:3 | no | yes | qualsiasi |\n| 983 | contotv 3 | italy | italian | general television | 16:9 | no | no | qualsiasi |\n| 984 | contotv 4 | italy | italian | programmi per adulti 24h / 24 | 4:3 | no | no | qualsiasi |\n| 985 | contotv 5 | italy | italian | programmi per adulti 24h / 24 | 4:3 | no | no | qualsiasi |\n| 987 | teleitalia | italy | italian | general television | 4:3 | no | yes | qualsiasi ( fta ) |\n| 988 | teleitalia spot | italy | italian | general television | 4:3 | no | yes | qualsiasi ( fta ) |\n| 989 | d - xtv | italy | italian | programmi per adulti 24h / 24 | 4:3 | no | yes | qualsiasi |\n| 990 | r - light | italy | italian | programmi per adulti 24h / 24 | 4:3 | no | yes | qualsiasi |\n| 991 | sct | italy | italian | programmi per adulti 24h / 24 | 4:3 | no | yes | qualsiasi |\n| 992 | boy&boy | italy | italian | programmi per adulti 24h / 24 | 4:3 | no | yes | qualsiasi |\n| 993 | privè | italy | italian | programmi per adulti 24h / 24 | 4:3 | no | yes | qualsiasi |\n| 994 | themex | italy | italian | programmi per adulti 24h / 24 | 4:3 | no | yes | qualsiasi |" + } + ] + }, + { + "id": "table_recognition_train_item_101661", + "image": "table_instructV/images/ToTTo_train_table_7042.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Province or territory | GDP (Billions USD) | GDP per capita USD |\n| --- | --- | --- |\n| Punjab, Pakistan | 173.51 | 1,577 |\n| Sindh | 83.71 | 1,748 |\n| Khyber Pakhtunkhwa | 27.39 | 771 |\n| Balochistan | 9.13 | 740 |\n| Azad Kashmir | 7.00 | 1,730 |\n| Gilgit-Baltistan | 4.60 | 1,550 |\n| Islamabad | 3.04 | 2,996 |" + } + ] + }, + { + "id": "table_recognition_train_item_65256", + "image": "table_instructV/images/TabFact_1-2147588-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| district | vacator | reason for change | successor | date successor seated |\n| --- | --- | --- | --- | --- |\n| tennessee 1st | vacant | tennessee re - admitted into the union | nathaniel g taylor (u) | july 24 , 1866 |\n| tennessee 2nd | vacant | tennessee re - admitted into the union | horace maynard (uu) | july 24 , 1866 |\n| tennessee 3rd | vacant | tennessee re - admitted into the union | william b stokes (uu) | july 24 , 1866 |\n| tennessee 4th | vacant | tennessee re - admitted into the union | edmund cooper (u) | july 24 , 1866 |\n| tennessee 5th | vacant | tennessee re - admitted into the union | william b campbell (u) | july 24 , 1866 |\n| tennessee 6th | vacant | tennessee re - admitted into the union | samuel m arnell (uu) | july 24 , 1866 |\n| tennessee 7th | vacant | tennessee re - admitted into the union | isaac r hawkins (u) | july 24 , 1866 |\n| tennessee 8th | vacant | tennessee re - admitted into the union | john w leftwich (uu) | july 24 , 1866 |\n| new york 16th | orlando kellogg (r) | died august 24 , 1865 | robert s hale (r) | december 3 , 1866 |\n| pennsylvania 16th | alexander h coffroth (d) | lost contested election february 19 , 1866 | william h koontz (r) | july 18 , 1866 |\n| indiana 7th | daniel w voorhees (d) | lost contested election february 23 , 1866 | henry d washburn (r) | february 23 , 1866 |\n| new york 8th | james brooks (d) | lost contested election april 7 , 1866 | william e dodge (r) | april 7 , 1866 |\n| new york 3rd | james humphrey (r) | died june 16 , 1866 | john w hunter (d) | december 4 , 1866 |\n| kentucky 3rd | henry grider (d) | died september 7 , 1866 | elijah hise (d) | december 3 , 1866 |\n| pennsylvania 11th | philip johnson (d) | died january 29 , 1867 | vacant | not filled this term |" + } + ] + }, + { + "id": "table_recognition_train_item_100056", + "image": "table_instructV/images/ToTTo_train_table_198.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| 6 August 2010 | Defence Force | 0–1 | San Juan Jabloteh | Macoya, Trinidad | |\n| --- | --- | --- | --- | --- | --- |\n| 18:00 (UTC-4) | | Report | Britto 87' | Stadium: Marvin Lee Stadium Referee: Lee Davis | |" + } + ] + }, + { + "id": "table_recognition_train_item_48710", + "image": "table_instructV/images/TAT-QA_1bf46cfa-8b7b-49d7-aebb-a2178b758794.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | | | Payments Due By Period | | |\n| --- | --- | --- | --- | --- | --- |\n| (Dollars in Millions) | Total | Less than 1 year | 1-3 years | 3-5 years | More than 5 years |\n| Capital Leases | $1.7 | $0.6 | $0.9 | $0.2 | $— |\n| Operating Leases | 34.2 | 7.8 | 10.5 | 7.5 | 8.4 |\n| Debt (1) | 295.5 | 15.7 | 28.8 | 247.7 | 3.3 |\n| Estimated Interest on Debt (2) | 46.8 | 11.7 | 20.7 | 14.2 | 0.2 |\n| Deferred Compensation | 8.5 | 1.2 | 3.2 | 1.6 | 2.5 |\n| Total | $386.7 | $37.0 | $64.1 | $271.2 | $14.4 |" + } + ] + }, + { + "id": "table_recognition_train_item_107859", + "image": "table_instructV/images/ToTTo_train_table_32951.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Year | Competition | Venue | Position | Event | Notes |\n| --- | --- | --- | --- | --- | --- |\n| 1946 | European Championships | Oslo | 2nd | Relay 4 × 100 m | |" + } + ] + }, + { + "id": "table_recognition_train_item_35190", + "image": "table_instructV/images/TABMWP_25797.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of coats | Number of buttons |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_100706", + "image": "table_instructV/images/ToTTo_train_table_3046.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Year | Most Protestants | Roman Catholics | Jews | Muslims | Other Christians /religions | No religion/atheist |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1830 | 59,1% | 40.8% | 1.8% | | 0.1% | |\n| 1840 | 59,6% | 40.3% | 1.8% | | 0.1% | |\n| 1849 | 59.7% | 38.4% | 1.9% | | 0.1% | |\n| 1859 | 60.6% | 37.4% | 1.9% | | 0.1% | |\n| 1869 | 61.3% | 36.6% | 1.9% | | 0.1% | |\n| 1879 | 61.6% | 36.1% | 2.0% | 0.0% | 0.0% | 0.3% |\n| 1889 | 60.5% | 35.6% | 2.2% | 0.0% | 0.4% | 1.5% |\n| 1899 | 60.0% | 35.3% | 2.0% | | 0.4% | 2.3% |\n| 1909 | 57.3% | 35.2% | 1.8% | 0.0% | 0.7% | 5.0% |\n| 1920 | 53.8% | 35.8% | 1.7% | | 1.0% | 7.8% |\n| 1930 | 46.3% | 36.5% | 1.4% | | 1.4% | 14.4% |\n| 1947 | 42.3% | 38.6% | 0.1% | | 1.9% | 17.1% |\n| 1960 | 40.7% | 40.5% | 0.1% | 0.0% | 0.2% | 18.3% |\n| 1971 | 35.9% | 40.5% | 0.1% | 0.4% | 0.3% | 23.6% |\n| 1975 | 33% | 38% | | | 3% | 26% |\n| 1977 | 31% | 38% | | | 3% | 26% |\n| 1980 | 30% | 38% | | | 5% | 26% |\n| 1983 | 29% | 36% | | | 6% | 30% |\n| 1985 | 28% | 37% | | | 5% | 31% |\n| 1990 | 26% | 33% | | | 6% | 38% |\n| 1995 | 21% | 33% | | | 8% | 40% |\n| 2000 | 21% | 32% | | | 8% | 40% |\n| 2005 | 21% | 30% | | | 9% | 41% |\n| 2010 | 17.9% | 27.3% | 0.1% | 4.5% | 5.1% | 45.3% |\n| 2011 | 16.8% | 26.5% | 0.1% | 4.7% | 5.1% | 46.8% |\n| 2012 | 16.7% | 25.8% | 0.1% | 4.8% | 5.2% | 47.4% |\n| 2013 | 16.1% | 26.3% | 0.1% | 4.8% | 5.9% | 46.9% |\n| 2014 | 15.8% | 24.4% | 0.1% | 4.9% | 5.6% | 49.2% |\n| 2015 | 15.5% | 23.7% | 0.1% | 4.9% | 5.6% | 50.1% |" + } + ] + }, + { + "id": "table_recognition_train_item_102100", + "image": "table_instructV/images/ToTTo_train_table_8888.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| University | French Name | Academy |\n| --- | --- | --- |\n| Aix-Marseille University | Aix-Marseille Université | Aix-Marseille |\n| University of Avignon | Université d'Avignon et des Pays de Vaucluse | Aix-Marseille |\n| University of Picardie Jules Verne | Université de Picardie Jules-Verne | Amiens |\n| University of Franche-Comté | Université de Franche-Comté | Besançon |\n| University of Bordeaux | Université de Bordeaux | Bordeaux |\n| University of Pau and Pays de l'Adour | Université de Pau et des Pays de l'Adour | Bordeaux |\n| Bordeaux Montaigne University | Université Bordeaux-Montaigne | Bordeaux |\n| University of Caen Lower Normandy | Université de Caen Basse-Normandie | Caen |\n| University of Clermont Auvergne | Université Clermont Auvergne | Clermont-Ferrand |\n| University of Corsica Pasquale Paoli | Université de Corse Pasquale Paoli | Corse |\n| Paris 12 Val de Marne University | Université Paris-Est Créteil Val-de-Marne | Créteil |\n| Paris 13 University | Université Paris 13 – Paris Nord | Créteil |\n| Paris 8 University | Université Paris 8 – Vincennes – Saint-Denis | Créteil |\n| University of Marne-la-Vallée | Université Paris-Est Marne-la-Vallée | Créteil |\n| University of Burgundy | Université de Bourgogne | Dijon |\n| Grenoble Alpes University | Université Grenoble-Alpes | Grenoble |\n| University of Savoy | Université de Savoie | Grenoble |\n| University of the French West Indies | Université des Antilles | Guadeloupe and Martinique |\n| University of French Guiana | Université de Guyane | Guyane |\n| University of La Réunion | Université de La Réunion | La Réunion |\n| University of Lille | Université de Lille | Lille |\n| University of the Littoral Opal Coast | Université du Littoral Côte d'Opale | Lille |\n| Artois University | Université d'Artois | Lille |\n| University of Valenciennes and Hainaut-Cambresis | Université de Valenciennes et du Hainaut-Cambrésis | Lille |\n| University of Limoges | Université de Limoges | Limoges |\n| Jean Moulin University Lyon 3 | Université Jean Moulin – Lyon 3 | Lyon |\n| Lumière University Lyon 2 | Université Lumière – Lyon 2 | Lyon |\n| Jean Monnet University | Université Jean Monnet | Lyon |\n| Claude Bernard University Lyon 1 | Université Claude Bernard – Lyon 1 | Lyon |\n| University of Nîmes | Université de Nîmes | Montpellier |\n| University of Perpignan | Université de Perpignan – Via Domitia | Montpellier |\n| University of Montpellier | Université de Montpellier | Montpellier |\n| Paul Valéry University, Montpellier III | Université Montpellier 3 – Paul-Valéry | Montpellier |\n| University of Angers | Université d'Angers | Nantes |\n| University of Nantes | Université de Nantes | Nantes |\n| University of Maine (France) | Université du Maine | Nantes |\n| University of Toulon | Université de Toulon | Nice |\n| University of Nice Sophia Antipolis | Université Nice – Sophia-Antipolis | Nice |\n| University of New Caledonia | Université de la Nouvelle-Calédonie | Nouvelle-Calédonie |\n| University of Orléans | Université d'Orléans | Orléans-Tours |\n| François Rabelais University | Université François-Rabelais | Orléans-Tours |\n| Panthéon-Assas University | Université Panthéon-Assas | Paris |\n| Paris Diderot University | Université Paris Diderot | Paris |\n| University of Paris III: Sorbonne Nouvelle | Université Sorbonne Nouvelle – Paris 3 | Paris |\n| Paris Descartes University | Université Paris Descartes | Paris |\n| Pantheon-Sorbonne University | Université Paris 1 – Panthéon Sorbonne | Paris |\n| Sorbonne University | Sorbonne Université | Paris |\n| University of La Rochelle | Université de La Rochelle | Poitiers |\n| University of Poitiers | Université de Poitiers | Poitiers |\n| University of French Polynesia | Université de la Polynésie Française | Polynésie Française |\n| University of Reims Champagne-Ardenne | Université de Reims Champagne-Ardenne | Reims |\n| University of Rennes 1 | Université de Rennes 1 | Rennes |\n| University of Western Brittany | Université de Bretagne Occidentale | Rennes |\n| University of Southern Brittany | Université de Bretagne-Sud | Rennes |\n| University of Rennes 2 – Upper Brittany | Université Rennes 2 | Rennes |\n| University of Le Havre | Université du Havre | Rouen |\n| University of Rouen | Université de Rouen | Rouen |\n| University of Upper Alsace | Université de Haute-Alsace | Strasbourg |\n| University of Strasbourg | Université de Strasbourg | Strasbourg |\n| Paul Sabatier University | Université de Toulouse 3 – Paul Sabatier | Toulouse |\n| University of Toulouse II – Le Mirail | Université Toulouse – Jean Jaurès | Toulouse |\n| Toulouse 1 University Capitole | Université Toulouse 1 – Capitole | Toulouse |\n| Versailles Saint-Quentin-en-Yvelines University | Université de Versailles Saint-Quentin-en-Yvelines | Versailles |\n| University of Paris-Sud | Université Paris-Sud | Versailles |\n| Paris Nanterre University | Université Paris Nanterre | Versailles |\n| Cergy-Pontoise University | Université de Cergy-Pontoise | Versailles |\n| University of Évry Val d'Essonne | Université d'Évry-Val d'Essonne | Versailles |" + } + ] + }, + { + "id": "table_recognition_train_item_31222", + "image": "table_instructV/images/TABMWP_5410.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Number of buckets | Number of red blocks |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_50546", + "image": "table_instructV/images/TAT-QA_ef1ba2d7-da48-4e0b-85a3-d710913a31d4.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| | | 2019 | 2018 | 2017 |\n| --- | --- | --- | --- | --- |\n| | Notes | €m | €m | €m |\n| (Loss)/profit for the financial year | | (7,644) | 2,788 | (6,079) |\n| Loss from discontinued operations | 7 | 3,535 | 1,969 | 4,107 |\n| (Loss)/profit for the financial year from continuing operations | | (4,109) | 4,757 | (1,972) |\n| Non-operating expense | | 7 | 32 | 1 |\n| Investment income | | (433) | (685) | (474) |\n| Financing costs | | 2,088 | 1,074 | 1,406 |\n| Income tax expense/(credit) | 6 | 1,496 | (879) | 4,764 |\n| Operating (loss)/profit | | (951) | 4,299 | 3,725 |\n| Adjustments for: | | | | |\n| Share-based payments and other non-cash charges | | 147 | 128 | 95 |\n| Depreciation and amortisation | 10, 11 | 9,795 | 10,409 | 11,086 |\n| Loss on disposal of property, plant and equipment and intangible assets | 3 | 33 | 36 | 22 |\n| Share of result of equity accounted associates and joint ventures | | 908 | 59 | (47) |\n| Impairment losses | 4 | 3,525 | – | – |\n| Other expense/(income) | | 148 | (213) | (1,052) |\n| (Increase)/decrease in inventory | | (131) | (26) | 117 |\n| (Increase)/decrease in trade and other receivables | 14 | (31) | (1,118) | 308 |\n| Increase/(decrease) in trade and other payables | 15 | 739 | 286 | (473) |\n| Cash generated by operations | | 14,182 | 13,860 | 13,781 |\n| Net tax paid | | (1,131) | (1,118) | (761) |\n| Cash flows from discontinued operations | | (71) | 858 | 1,203 |\n| Net cash flow from operating activities | | 12,980 | 13,600 | 14,223 |" + } + ] + }, + { + "id": "table_recognition_train_item_66464", + "image": "table_instructV/images/TabFact_2-12256602-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| name | years | gender | area | authority | decile | roll |\n| --- | --- | --- | --- | --- | --- | --- |\n| hapuku school | 1 - 8 | coed | hapuku | state | 4 | 23 |\n| kaikoura high school | 7 - 13 | coed | kaikoura | state | 4 | 217 |\n| kaikoura primary school | 1 - 6 | coed | kaikoura | state | 5 | 90 |\n| kaikoura suburban school | 1 - 6 | coed | kaikoura | state | 7 | 93 |\n| lynton downs school | 1 - 6 | coed | lynton downs | state | 9 | 15 |\n| st joseph 's school | 1 - 8 | coed | kaikoura | state integrated | 5 | 72 |\n| woodbank school | 1 - 6 | coed | kaikoura | state | 4 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_64778", + "image": "table_instructV/images/TabFact_2-15878404-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| rider | bike | laps | time | grid |\n| --- | --- | --- | --- | --- |\n| troy bayliss | ducati 1098 f08 | 18 | 36:11.468 | 7 |\n| max biaggi | ducati 1098 rs 08 | 18 | + 0.396 | 3 |\n| troy corser | yamaha yzf - r1 | 18 | + 1.878 | 1 |\n| rubén xaus | ducati 1098 rs 08 | 18 | + 4.487 | 2 |\n| max neukirchner | suzuki gsx - r1000 | 18 | + 7.505 | 4 |\n| carlos checa | honda cbr1000rr | 18 | + 9.639 | 9 |\n| fonsi nieto | suzuki gsx - r1000 | 18 | + 9.725 | 11 |\n| yukio kagayama | suzuki gsx - r1000 | 18 | + 19.537 | 8 |\n| michel fabrizio | ducati 1098 f08 | 18 | + 23.156 | 10 |\n| jakub smrž | ducati 1098 rs 08 | 18 | + 24.429 | 12 |\n| roberto rolfo | honda cbr1000rr | 18 | + 27.595 | 15 |\n| kenan sofuoğlu | honda cbr1000rr | 18 | + 27.979 | 14 |\n| gregorio lavilla | honda cbr1000rr | 18 | + 28.237 | 13 |\n| noriyuki haga | yamaha yzf - r1 | 18 | + 30.205 | 6 |\n| régis laconi | kawasaki zx - 10r | 18 | + 31.882 | 25 |\n| lorenzo lanzi | ducati 1098 rs 08 | 18 | + 32.067 | 5 |\n| karl muggeridge | honda cbr1000rr | 18 | + 40.745 | 18 |\n| ayrton badovini | kawasaki zx - 10r | 18 | + 41.280 | 16 |\n| vittorio iannuzzo | kawasaki zx - 10r | 18 | + 41.333 | 21 |\n| sébastien gimbert | yamaha yzf - r1 | 18 | + 41.743 | 17 |\n| shinichi nakatomi | yamaha yzf - r1 | 18 | + 43.183 | 26 |\n| ryuichi kiyonari | honda cbr1000rr | 18 | + 43.569 | 20 |\n| david checa | yamaha yzf - r1 | 18 | + 43.892 | 19 |\n| russell holland | honda cbr1000rr | 18 | + 50.380 | 22 |\n| shuhei aoyama | honda cbr1000rr | 18 | + 1:12.884 | 27 |\n| luca morelli | honda cbr1000rr | 12 | retirement | 24 |\n| loic napoleone | yamaha yzf - r1 | 12 | retirement | 28 |\n| makoto tamada | kawasaki zx - 10r | 5 | retirement | 23 |" + } + ] + }, + { + "id": "table_recognition_train_item_69848", + "image": "table_instructV/images/TabFact_1-299271-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| competition | attendance | opponent | season | result |\n| --- | --- | --- | --- | --- |\n| welsh premier league | 2593 | prestatyn town | 2011 - 12 | 5 - 3 |\n| welsh cup | 12000 | cardiff city | 1927 - 28 | 0 - 2 |\n| uefa champions league | 1189 | hjk helsinki | 2011 - 12 | 0 - 3 |\n| uefa europa league | 1022 | fc zimbru | 2012 - 13 | 0 - 0 |\n| uefa cup 1 | 3426 | ía akranes | 1994 - 95 | 1 - 2 |\n| uefa cup winners' cup 2 | 12000 | napoli | 1962 - 63 | 2 - 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_32075", + "image": "table_instructV/images/TABMWP_14129.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 5 | 1 |\n| 2 | 20 |\n| 15 | 8 |\n| 19 | 11 |" + } + ] + }, + { + "id": "table_recognition_train_item_63278", + "image": "table_instructV/images/TabFact_2-15352382-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| position | team | points | played | drawn | lost | against | difference |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | corinthians | 22 | 14 | 2 | 2 | 14 | 19 |\n| 2 | palestra itã¡lia - sp | 21 | 14 | 1 | 3 | 12 | 23 |\n| 3 | portuguesa santista | 19 | 14 | 3 | 3 | 18 | 9 |\n| 4 | estudantes paulista | 15 | 14 | 1 | 6 | 22 | 11 |\n| 5 | santos | 14 | 14 | 4 | 5 | 20 | 7 |\n| 6 | juventus | 11 | 14 | 3 | 7 | 28 | - 5 |" + } + ] + }, + { + "id": "table_recognition_train_item_115329", + "image": "table_instructV/images/Rotowire_train_table_2007.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Magic | Orlando | 95 | 26 | 26 | 26 | 17 | 25 | 40 | 14 | 47 | 50 | 35 | 0 | 3 | | | | |\n| Raptors | Toronto | 108 | 29 | 20 | 38 | 21 | 13 | 50 | 7 | 40 | 79 | 19 | 2 | 0 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Evan Fournier | 23 | 18 | 1 | 0 | 6-10 | 60% | 1-4 | 25% | 5-7 | 71% | 0 | 0 | 0 | 0 | 1 | 5 | G | Orlando |\n| Elfrid Payton | 30 | 16 | 3 | 9 | 6-12 | 50% | 0-0 | 0% | 4-8 | 50% | 0 | 1 | 0 | 1 | 2 | 4 | G | Orlando |\n| Nikola Vucevic | 33 | 15 | 12 | 4 | 7-11 | 64% | 1-1 | 100% | 0-2 | 0% | 1 | 2 | 1 | 2 | 10 | 6 | C | Orlando |\n| Tobias Harris | 34 | 11 | 9 | 3 | 4-15 | 27% | 1-1 | 100% | 2-4 | 50% | 1 | 4 | 1 | 2 | 7 | 4 | F | Orlando |\n| Channing Frye | 32 | 11 | 1 | 2 | 4-10 | 40% | 2-7 | 29% | 1-2 | 50% | 0 | 1 | 0 | 0 | 1 | 5 | F | Orlando |\n| Ben Gordon | 25 | 7 | 2 | 1 | 3-8 | 38% | 1-3 | 33% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | Orlando |\n| Maurice Harkless | 22 | 7 | 5 | 2 | 3-6 | 50% | 1-3 | 33% | 0-1 | 0% | 1 | 2 | 1 | 1 | 4 | 3 | N/A | Orlando |\n| Dewayne Dedmon | 14 | 6 | 4 | 1 | 3-3 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 4 | 1 | 3 | 2 | N/A | Orlando |\n| Luke Ridnour | 16 | 4 | 1 | 2 | 2-4 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 0 | 4 | N/A | Orlando |\n| Andrew Nicholson | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Orlando |\n| Devyn Marble | 2 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Orlando |\n| Aaron Gordon | 7 | 0 | 2 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 3 | N/A | Orlando |\n| Willie Green | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| DeMar DeRozan | 30 | 26 | 8 | 1 | 9-18 | 50% | 0-1 | 0% | 8-10 | 80% | 1 | 0 | 0 | 1 | 7 | 1 | G | Toronto |\n| Kyle Lowry | 33 | 21 | 3 | 5 | 5-12 | 42% | 2-5 | 40% | 9-11 | 82% | 1 | 0 | 0 | 0 | 3 | 2 | G | Toronto |\n| Amir Johnson | 24 | 14 | 5 | 0 | 7-9 | 78% | 0-2 | 0% | 0-2 | 0% | 0 | 0 | 0 | 3 | 2 | 2 | F | Toronto |\n| James Johnson | 19 | 12 | 3 | 0 | 4-6 | 67% | 0-0 | 0% | 4-5 | 80% | 0 | 1 | 0 | 1 | 2 | 2 | N/A | Toronto |\n| Terrence Ross | 29 | 10 | 3 | 0 | 3-7 | 43% | 2-5 | 40% | 2-2 | 100% | 1 | 1 | 1 | 1 | 2 | 3 | F | Toronto |\n| Jonas Valanciunas | 25 | 10 | 11 | 1 | 2-8 | 25% | 0-0 | 0% | 6-8 | 75% | 0 | 2 | 2 | 3 | 8 | 3 | C | Toronto |\n| Greivis Vasquez | 18 | 6 | 1 | 2 | 1-9 | 11% | 0-4 | 0% | 4-4 | 100% | 1 | 0 | 0 | 0 | 1 | 1 | N/A | Toronto |\n| Lou Williams | 17 | 5 | 2 | 2 | 0-3 | 0% | 0-0 | 0% | 5-5 | 100% | 0 | 1 | 0 | 1 | 1 | 1 | N/A | Toronto |\n| Patrick Patterson | 25 | 2 | 8 | 2 | 1-7 | 14% | 0-4 | 0% | 0-0 | 0% | 0 | 1 | 1 | 1 | 7 | 1 | N/A | Toronto |\n| Tyler Hansbrough | 19 | 2 | 6 | 0 | 1-3 | 33% | 0-0 | 0% | 0-1 | 0% | 0 | 1 | 0 | 4 | 2 | 5 | N/A | Toronto |\n| Landry Fields | 1 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Toronto |\n| Charles Hayes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Greg Stiemsma | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |" + } + ] + }, + { + "id": "table_recognition_train_item_32578", + "image": "table_instructV/images/TABMWP_19460.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| | Green | Yellow |\n| --- | --- | --- |\n| Small | 3 | 5 |\n| Medium | 1 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_59548", + "image": "table_instructV/images/TabFact_2-11622632-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| date | visitor | score | home | decision | attendance | record |\n| --- | --- | --- | --- | --- | --- | --- |\n| february 1 | ottawa | 3 - 5 | new jersey devils | hasek | 10142 | 34 - 12 - 4 |\n| february 2 | ottawa | 7 - 2 | pittsburgh penguins | hasek | 14714 | 35 - 12 - 4 |\n| february 4 | ottawa | 1 - 2 | buffalo sabres | hasek | 17451 | 35 - 12 - 5 |\n| february 6 | pittsburgh penguins | 2 - 5 | ottawa | emery | 19877 | 36 - 12 - 5 |\n| february 8 | ottawa | 1 - 5 | new york rangers | hasek | 18200 | 36 - 13 - 5 |\n| february 9 | atlanta thrashers | 2 - 1 | ottawa | hasek | 19604 | 36 - 14 - 5 |\n| february 11 | philadelphia flyers | 2 - 3 | ottawa | hasek | 19834 | 37 - 14 - 5 |" + } + ] + }, + { + "id": "table_recognition_train_item_33316", + "image": "table_instructV/images/TABMWP_28190.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 17 | 20 |\n| 5 | 1 |\n| 10 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_56266", + "image": "table_instructV/images/TabFact_2-11964379-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| date | visitor | score | home | leading scorer | attendance | record |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2 / 1 | charlotte bobcats | 127 - 94 | golden state warriors | monta ellis | 20064 | 29 - 19 |\n| 2 / 7 | chicago bulls | 108 - 114 | golden state warriors | monta ellis | 19596 | 29 - 20 |\n| 2 / 9 | sacramento kings | 105 - 102 | golden state warriors | monta ellis | 20018 | 30 - 20 |\n| 2 / 11 | washington wizards | 120 - 117 | golden state warriors | stephen jackson | 19043 | 31 - 20 |\n| 2 / 13 | phoenix suns | 120 - 118 | golden state warriors | monta ellis | 19754 | 32 - 20 |\n| 2 / 19 | golden state warriors | 109 - 119 | utah jazz | al harrington | 19911 | 32 - 21 |\n| 2 / 20 | boston celtics | 119 - 117 | golden state warriors | baron davis | 20711 | 33 - 21 |\n| 2 / 22 | atlanta hawks | 110 - 117 | golden state warriors | baron davis | 19596 | 33 - 22 |\n| 2 / 26 | seattle supersonics | 105 - 99 | golden state warriors | monta ellis | 19412 | 34 - 22 |\n| 2 / 29 | philadelphia 76ers | 119 - 97 | golden state warriors | mickaël piétrus | 19602 | 35 - 22 |" + } + ] + }, + { + "id": "table_recognition_train_item_35305", + "image": "table_instructV/images/TABMWP_29439.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 8 | 16 |\n| 9 | 15 |\n| 10 | 14 |" + } + ] + }, + { + "id": "table_recognition_train_item_57378", + "image": "table_instructV/images/TabFact_1-15977768-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| information | akimel a - al the name is tohono oodham for children of the river | altadeã±a | aprende | centennial | kyrene ms | del pueblo |\n| --- | --- | --- | --- | --- | --- | --- |\n| location | phoenix | phoenix | chandler | phoenix | tempe | chandler |\n| opened | 1992 | 1991 | 1994 | 1988 | 1995 | 1986 |\n| colors | turquoise , black | maroon / blue | gold / black | red / black | lime green / black | maroon / gray |\n| mascot | rattlers | panthers | jaguars | saber cats | scorpions | bulldogs |\n| principal | mike deignan | nancy corner | james verril | ev michell | susan poole | jama nacke |" + } + ] + }, + { + "id": "table_recognition_train_item_64854", + "image": "table_instructV/images/TabFact_2-15524351-19.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| date | opponent | location | result | attendance |\n| --- | --- | --- | --- | --- |\n| 09 / 08 / 1979 | appalachian state | groves stadium winston - salem , nc | w 30 - 23 | 26500 |\n| 09 / 15 / 1979 | 12 georgia | sanford stadium athens , ga | w 22 - 21 | 57500 |\n| 09 / 22 / 1979 | east carolina | groves stadium winston - salem , nc | w 23 - 20 | 28751 |\n| 09 / 29 / 1979 | 16 north carolina state | carter - finley stadium raleigh , nc | l 14 - 17 | 44800 |\n| 10 / 06 / 1979 | virginia tech | lane stadium blacksburg , va | w 19 - 14 | 36600 |\n| 10 / 13 / 1979 | 14 north carolina | kenan memorial stadium chapel hill , nc | w 24 - 19 | 50720 |\n| 10 / 20 / 1979 | maryland | groves stadium winston - salem , nc | w 25 - 17 | 26050 |\n| 10 / 27 / 1979 | 13 auburn | groves stadium winston - salem , nc | w 42 - 38 | 34060 |\n| 11 / 03 / 1979 | clemson | memorial stadium clemson , sc | l 0 - 31 | 59000 |\n| 11 / 10 / 1979 | duke | groves stadium winston - salem , nc | w 17 - 14 | 28300 |\n| 11 / 17 / 1979 | south carolina | williams - brice stadium columbia , sc | l 14 - 35 | 56407 |\n| 01 / 01 / 1980 | lsu | citrus bowl orlando , fl (tangerine bowl) | l 10 - 34 | 38666 |" + } + ] + }, + { + "id": "table_recognition_train_item_58164", + "image": "table_instructV/images/TabFact_1-17632217-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| season | winners | total wins | runners - up | third - place | number of clubs |\n| --- | --- | --- | --- | --- | --- |\n| 1987 | liaoning | 1 | tianjin | shanghai | 8 |\n| 1988 | liaoning | 2 | shandong | shanghai | 21 |\n| 1989 | china b | 1 | liaoning | shanghai | 8 |\n| 1990 | liaoning | 3 | august 1st | dalian | 8 |\n| 1991 | liaoning | 4 | shanghai | beijing | 8 |\n| 1992 | liaoning | 5 | guangzhou fc | dalian | 8 |" + } + ] + }, + { + "id": "table_recognition_train_item_31678", + "image": "table_instructV/images/TABMWP_10012.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Option | Change in phone price |\n| --- | --- |\n| Add an upgrade | $60 |\n| Buy a used phone | -$75 |" + } + ] + }, + { + "id": "table_recognition_train_item_34845", + "image": "table_instructV/images/TABMWP_15287.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| Number of branches | Number of lemons |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_100105", + "image": "table_instructV/images/ToTTo_train_table_419.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 2010 | Being Victor | Nick Fairclough | Episode: #1.3 |\n| 2012 | Mrs Biggs | Alan Wright | 2 episodes |\n| 2013 | The Tunnel | Adam Roebuck | Recurring (10 episodes) |\n| 2014 | The Passing Bells | Michael | Miniseries |\n| 2016 | War & Peace | Nikolai Rostov | Miniseries |\n| 2018 | The Long Song | Robert Goodwin | 3-part TV film |" + } + ] + }, + { + "id": "table_recognition_train_item_60572", + "image": "table_instructV/images/TabFact_2-1741728-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| season | total attendance | games | average | high avg | team | no of clubs |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1994 | 2155000 | 132 | 16326 | 40000 | sichuan quanxing | 12 |\n| 1995 | 3140280 | 132 | 23790 | 40182 | sichuan quanxing | 12 |\n| 1996 | 3203122 | 132 | 24266 | 42272 | jinan taishan | 12 |\n| 1997 | 2801100 | 132 | 21220 | 39180 | sichuan quanxing | 12 |\n| 1998 | 3883000 | 182 | 21335 | 39713 | shanghai shenhua | 14 |\n| 1999 | 3623500 | 182 | 19909 | 33538 | shandong luneng | 14 |\n| 2000 | 3622000 | 182 | 19901 | 35615 | shenyang ginde | 14 |\n| 2001 | 3329872 | 182 | 18296 | 38700 | shanxi guoli | 14 |\n| 2002 | 3146640 | 210 | 14984 | 32429 | beijing guo'an | 15 |\n| 2003 | 3719700 | 210 | 17710 | 30500 | dalian shide | 15 |\n| 2004 | 1430600 | 132 | 10838 | 23636 | shandong luneng | 12 |\n| 2005 | 1871700 | 182 | 10284 | 26000 | shandong luneng | 14 |\n| 2006 | 2228300 | 210 | 10611 | 30679 | shandong luneng | 15 |\n| 2007 | 3173500 | 210 | 15112 | 24643 | shanxi chanba | 15 |\n| 2008 | 3065280 | 228 | 13444 | 26501 | shandong luneng | 16 |\n| 2009 | 3854115 | 240 | 16059 | 36805 | beijing guo'an | 16 |\n| 2010 | 3499304 | 240 | 14581 | 33342 | beijing guo'an | 16 |\n| 2011 | 4236322 | 240 | 17651 | 45666 | guangzhou evergrande | 16 |\n| 2012 | 4497578 | 240 | 18740 | 37250 | guangzhou evergrande | 16 |\n| 2013 | 4456977 | 240 | 18571 | 40428 | guangzhou evergrande | 16 |" + } + ] + }, + { + "id": "table_recognition_train_item_106631", + "image": "table_instructV/images/ToTTo_train_table_27870.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Name | Year appointed | Location |\n| --- | --- | --- |\n| John George Findlay | 1907 | |\n| Thomas Joynt | 1907 | |\n| Martin Chapman | 1907 | |\n| Joseph Tole | 1907 | |\n| Francis Bell | 1907 | |\n| John Hosking | 1907 | |\n| Saul Solomon | 1907 | |\n| Thomas Walter Stringer | 1907 | |\n| Charles Skerrett | 1907 | |\n| Frederick Baume | 1907 | |\n| John Fraser Macqueen Fraser | 1910 | |\n| Thomas Cotter | 1911 | |\n| John Salmond | 1912 | |\n| Frederick Earl | 1912 | |\n| Alexander Gray | 1912 | |\n| Charles Bruce Morison | 1912 | |\n| John Ranken Reed | 1912 | |\n| Frederick Wilding | 1913 | |\n| Samuel George Raymond | 1913 | |\n| William Cunningham MacGregor | 1915 | |\n| Oliver Samuel | 1919 | |\n| Michael Myers | 1922 | |\n| Henry Hubert Ostler | 1925 | |\n| Arthur Fair | 1925 | |\n| Thomas Wilford | 1929 | |\n| Harold Featherston Johnston | 1930 | |\n| Alfred Charles Hanlon | 1930 | |\n| Alexander Howat Johnstone | 1934 | |\n| John Callan | 1934 | |\n| Henry Havelock Cornish | 1934 | |\n| Claude Weston | 1934 | |\n| Humphrey O'Leary | 1936 | |\n| Philip Brunskill Cooke | 1936 | |\n| Wilfrid Joseph Sim | 1939 | |\n| Herbert Edgar Evans | 1946 | |\n| Rex Mason | 1946 | |\n| John O'Shea | 1946 | |\n| Ossie Mazengarb | 1947 | |\n| Alfred Kingsley North | 1947 | |\n| Alfred George Neill | 1950 | |\n| Howard Parris Richmond | 1952 | |\n| Leonard Poulter Leary | 1952 | |\n| Alexander Kingcome Turner | 1952 | |\n| Clifton Webb | 1954 | |\n| Vincent Robert Sissons Meredith | 1957 | |\n| Richard Wild | 1957 | |\n| Reginald Hardie Boys | 1958 | |\n| Arthur Lance Tompkins | 1958 | |\n| John Nigel Wilson | 1958 | |\n| Frederick Campbell Spratt | 1961 | |\n| Ronald Davison | 1963 | |\n| Robin Cooke | 1964 | |\n| Charles Pierrepont Hutchinson | 1964 | |\n| Edgar Stirling Bowie | 1965 | |\n| David Stuart Beattie | 1965 | |\n| Muir Fitzherbert Chilwell | 1965 | |\n| John Charles White | 1966 | |\n| Peter Gordon Hillyer | 1967 | |\n| Frank O'Flynn | 1968 | |\n| Lloyd William Brown | 1968 | |\n| Graham Crossley | 1970 | |\n| Laurence Henry Southwick | 1970 | |\n| Richard Christopher Savage | 1970 | |\n| Paul Basil Temm | 1971 | |\n| Peter Mahon | 1971 | |\n| Maurice James O'Brien | 1971 | |\n| Richard Ian Barker | 1973 | |\n| Martyn Finlay | 1973 | |\n| Robert Whaley Edgley | 1973 | |\n| William Stuart Shires | 1973 | |\n| Harold Stewart Lusk | 1973 | |\n| Edward Somers | 1973 | |\n| David Lance Tompkins | 1974 | |\n| John Wallace | 1974 | |\n| Brinsley Donald Inglis | 1976 | |\n| Maxwell Helier Vautier | 1976 | |\n| Brian McClelland | 1976 | |\n| Robert Alexander Adams-Smith | 1978 | |\n| Rodney Gerald Gallen | 1978 | |\n| Thomas Eichelbaum | 1978 | |\n| Peter George Spenser Penlington | 1978 | |\n| Robert Phillip Smellie | 1979 | |\n| Colin Maurice Nicholson | 1979 | |\n| John Henry | 1980 | |\n| Daniel Paul Neazor | 1981 | |\n| Robert Alan Houston | 1981 | |\n| Anthony Hearn | 1981 | |\n| Richard John Craddock | 1981 | |\n| Edmund Thomas | 1981 | |\n| Anthony Arthur Travers Ellis | 1981 | |\n| Simon Grant Lockhart | 1982 | |\n| John Edward Shepherd Allen | 1983 | |\n| Peter Maxwell Salmon | 1983 | |\n| Christopher Barrie Atkinson | 1983 | |\n| David Baragwanath | 1983 | |\n| Thomas Gault | 1984 | |\n| Robert Andrew McGechan | 1984 | |\n| Anthony Molloy | 1984 | |\n| Ralph Edwin Wylie | 1985 | |\n| Colin Ross Pidgeon | 1985 | |\n| Graeme Roderick Joyce | 1985 | |\n| Robert Lloyd Fisher | 1985 | |\n| Donald Lindsay Mathieson | 1986 | |\n| John Alexander Lemon Gibson | 1986 | |\n| Michael Anthony Bungay | 1986 | |\n| James Alfred Farmer | 1986 | |\n| Noel Anderson | 1986 | |\n| Alan Lough Hassall | 1987 | |\n| Gerald Stewart Tuohy | 1987 | |\n| Peter Williams | 1987 | |\n| David Arthur Rhodes Williams | 1987 | |\n| Alan Raymand Galbraith | 1987 | |\n| John Joseph McGrath | 1987 | |\n| Peter John Harden Jenkin | 1988 | |\n| Douglas John White | 1988 | |\n| Sian Elias | 1988 | |\n| Colin Stuart Withnall | 1988 | |\n| Lowell Goddard | 1988 | |\n| Michael Henry Walkinton Lance | 1988 | |\n| Hugh Williams | 1988 | |\n| Walter Iles | 1989 | |\n| John Arthur Laurenson | 1989 | |\n| Nigel Hampton | 1989 | |\n| George Patterson Barton | 1990 | |\n| Stephen Pendrill Charles | 1990 | |\n| Colin Robert Carruthers | 1990 | |\n| Leslie Herrick Atkins | 1990 | |\n| John Gerard Fogarty | 1990 | |\n| Paul Thomas Cavanagh | 1991 | |\n| John Oswald Upton | 1991 | |\n| Michael Robert Camp | 1991 | |\n| Anthony Alan Lusk | 1991 | |\n| Julian Grosvenor Miles | 1991 | |\n| William Young | 1991 | |\n| Robert Chambers | 1992 | |\n| Raynor John Asher | 1992 | |\n| Raymond Bruce Squire | 1992 | |\n| Barry John Paterson | 1993 | |\n| John Richard Wild | 1993 | |\n| John Haigh | 1993 | |\n| John Maurice Priestley | 1994 | |\n| Rodney Eric Harrison | 1994 | |\n| Graham Panckhurst | 1994 | |\n| Rhys Harrison | 1994 | |\n| John Francis Lyons | 1994 | |\n| Frank Hortin Callaway | 1994 | |\n| David Shavin | 1994 | |\n| Kenneth Keith | 1994 | |\n| Christopher Ardagh McVeigh | 1995 | |\n| Gary James Judd | 1995 | |\n| Rodney Harold Hansen | 1995 | |\n| Heughan Bassett Rennie | 1995 | |\n| Bradley Harle Giles | 1995 | |\n| Michael Privett Reed | 1995 | |\n| Judith Ablett-Kerr | 1995 | |\n| Paul East | 1995 | |\n| Charles Augustine Sweeney | 1995 | |\n| Stuart Bruce Walton Grieve | 1996 | |\n| Bill Wilson | 1996 | |\n| Tony Randerson | 1996 | |\n| Austin John Forbes | 1996 | |\n| Nicholas Richard William Davidson | 1996 | |\n| John Richard Billington | 1996 | |\n| Paul Joseph Davison | 1996 | |\n| Denese Rosemary Bates | 1996 | |\n| Howard Carisbrooke Keyte | 1997 | |\n| John Grayson Rowan | 1997 | |\n| David McCaw Wilson | 1997 | |\n| Lynton Laurence Stevens | 1997 | |\n| Terence Arnold | 1997 | |\n| Brendan William Francis Brown | 1997 | |\n| Helen Ann Cull | 1997 | |\n| Kevin Ryan | 1998 | |\n| Christopher John Hodson | 1998 | |\n| Ian Ronald Millard | 1998 | |\n| Royden John Somerville | 1998 | |\n| Robert John Katz | 1998 | |\n| Anthony Cuthbert Hughes-Johnson | 1998 | |\n| Robert Andrew Dobson | 1998 | |\n| Ailsa Patricia Duffy | 1998 | |\n| Paul Robert Heath | 1998 | |\n| Michael John Behrens | 1999 | |\n| Noel Wallace Ingram | 1999 | |\n| Rodger Phillip George Haines | 1999 | |\n| Christopher Holden Toogood | 1999 | |\n| Kristy Pearl McDonald | 1999 | |\n| Thomas Crowley Weston | 1999 | |\n| Peter Donald McKenzie | 2000 | |\n| Viviene Heath Ullrich | 2000 | |\n| David Brian Collins | 2000 | |\n| Paul Gerard Mabey | 2000 | |\n| David McGee | 2000 | |\n| Bruce Stewart | 2000 | |\n| Mark Leslie Smith Cooper | 2000 | |\n| George Edwin Tanner | 2002 | |\n| Richard Spencer Clarke | 2002 | |\n| Peter Frederick Arthur Woodhouse | 2002 | |\n| Andrew Hawksworth Brown | 2002 | |\n| Donald Leslie Stevens | 2002 | |\n| Robert Fortescue Fardell | 2002 | |\n| Edwin David Wylie | 2002 | |\n| Anne Elizabeth Hinton | 2002 | |\n| Mary Therese Scholtens | 2002 | |\n| Maureen Jeanette Southwick | 2003 | |\n| Grant Maxwell Illingworth | 2003 | |\n| Philip James Morgan | 2003 | |\n| David John Goddard | 2003 | |\n| Michael Grant Ring | 2004 | |\n| Harry Waalkens | 2004 | |\n| Miriam Rose Dean | 2004 | |\n| Francis Morland Robin Cooke | 2004 | |\n| Tómas Williamson Harper Kennedy-Grant | 2005 | |\n| Helen Mary Aikman | 2005 | |\n| David Paul Hearmon Jones | 2005 | |\n| John Frederick Burrows | 2005 | |\n| Brian Paul Keene | 2006 | |\n| Bruce Dwight Gray | 2006 | |\n| John Livingston Marshall | 2007 | |\n| Bruce Andrew Corkill | 2007 | |\n| Matthew Eugene Casey | 2007 | |\n| Stephen John Mills | 2007 | |\n| Robert Macrae Lithgow | 2007 | |\n| John Stephen Kós | 2007 | |\n| Christopher Thomas Gudsell | 2007 | |\n| Susan Wendy Hughes | 2007 | |\n| Nicholas Allen Till | 2007 | |\n| Deborah Anne Tohill Hollings Chambers | 2007 | |\n| Campbell Alan McLachlan | 2007 | |\n| Karen Louise Clark | 2007 | |\n| Geoffrey Palmer | 2008 | |\n| David Jonathan Heaney | 2008 | |\n| Murray Gilbert | 2008 | |\n| Jack Edward Hodder | 2008 | |\n| Marion Jan McCartney | 2008 | |\n| Simon John Eisdell Moore | 2008 | |\n| Judith Christine Gordon | 2008 | |\n| Chris Finlayson | 2012 | |\n| Michael Richard Heron | 2012 | |\n| Philip Humphrey Brett Hall | 2013 | Christchurch |\n| Terence George Stapleton | 2013 | Wellington |\n| Richard James Buxton Fowler | 2013 | Wellington |\n| Simon Robert Jefferson | 2013 | Auckland |\n| Trevor John Shiels | 2013 | Dunedin |\n| Paul Edmund Dacre | 2013 | Auckland |\n| Russell Fairbrother | 2013 | Napier |\n| Frances Mary Joychild | 2013 | Auckland |\n| Nathan Stanley Gedye | 2013 | Auckland |\n| Peter Bruce Churchman | 2013 | Wellington |\n| Peter George Watts | 2013 | Auckland |\n| Justin Bane MacRae Smith | 2013 | Wellington |\n| Graham Kohler | 2013 | Auckland |\n| Matthew Alexander Muir | 2013 | Auckland |\n| Gillian Mary Coumbe | 2013 | Auckland |\n| Leslie John Taylor | 2013 | Wellington |\n| Kathryn Gail Davenport | 2013 | Auckland |\n| Matthew Nicholas Dunning | 2013 | Auckland |\n| Philip George Skelton | 2013 | Auckland |\n| David John Chisholm | 2013 | Auckland |\n| John Chester Pike | 2013 | Wellington |\n| Christine Mary Meechan | 2013 | Auckland |\n| Clive Lincoln Elliott | 2013 | Auckland |\n| Jonathan Heyward McDouall Eaton | 2013 | Christchurch |\n| Daniel Hugh McLellan | 2013 | Auckland |\n| Neil Ross Campbell | 2013 | Auckland |\n| Russell Bartlett | 2014 | Auckland |\n| Stephen Bonnar | 2014 | Auckland |\n| Paul David | 2014 | Auckland |\n| Marie Dyhrberg | 2014 | Auckland |\n| Antonia Fisher | 2014 | Auckland |\n| Paul Rishworth | 2014 | Auckland |\n| Paul Wicks | 2014 | Auckland |\n| Prudence Steven | 2014 | Christchurch |\n| Peter Whiteside | 2014 | Christchurch |\n| Anita Chan | 2014 | Dunedin |\n| David Laurenson | 2014 | Auckland |\n| Matthew McClelland | 2014 | Wellington |\n| Matthew Palmer | 2014 | Wellington |\n| Paul Radich | 2014 | Wellington |\n| Margaret Casey | 2015 | Auckland |\n| Mark O'Brien | 2015 | Wellington |\n| Richard Boast | 2015 | Wellington |\n| Derek Nolan | 2016 | Auckland |\n| Aaron Perkins | 2016 | Auckland |\n| Kieran Raftery | 2016 | Auckland |\n| David Bigio | 2016 | Auckland |\n| Jane Anderson | 2016 | Auckland |\n| Marc Corlett | 2016 | Auckland |\n| Vanessa Bruton | 2016 | Auckland |\n| Richard Raymond | 2016 | Christchurch |\n| John Prebble | 2016 | Wellington |\n| Kenneth Johnston | 2016 | Wellington |\n| Victoria Casey | 2016 | Wellington |\n| Una Jagose | 2016 | Wellington |\n| John Dixon | 2017 | Auckland |\n| Suzanne Robertson | 2017 | Auckland |\n| Rachael Reed | 2017 | Auckland |\n| Paul Borich | 2017 | Auckland |\n| Adam Ross | 2017 | Auckland |\n| Jennifer Cooper | 2017 | Auckland |\n| Simon Mount | 2017 | Auckland |\n| Andrew Barker | 2017 | Auckland |\n| Greg Blanchard | 2017 | Auckland |\n| Campbell Walker | 2017 | Auckland |\n| Grant Brittain | 2017 | Tauranga |\n| James Every-Palmer | 2017 | Wellington |\n| Tony Angelo | 2017 | Wellington |" + } + ] + }, + { + "id": "table_recognition_train_item_114293", + "image": "table_instructV/images/Rotowire_train_table_1489.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nuggets | Denver | 102 | 24 | 27 | 26 | 25 | 21 | 47 | 11 | 47 | 84 | 27 | 33 | 47 | | | | |\n| Spurs | San Antonio | 98 | 18 | 35 | 19 | 26 | 20 | 45 | 10 | 42 | 82 | 21 | 65 | 14 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Nuggets | | | | | | | | | | | | | | | | | | |\n| Jusuf Nurkic | 35 | 21 | 10 | 1 | 10-18 | 56% | 0-0 | 0% | 1-2 | 50% | 2 | 2 | 2 | 3 | 7 | 4 | C | Denver |\n| Emmanuel Mudiay | 36 | 20 | 6 | 5 | 8-15 | 53% | 3-6 | 50% | 1-1 | 100% | 1 | 3 | 1 | 0 | 6 | 1 | G | Denver |\n| JaKarr Sampson | 25 | 16 | 4 | 0 | 6-8 | 75% | 1-2 | 50% | 3-4 | 75% | 2 | 0 | 1 | 1 | 3 | 1 | F | Denver |\n| Will Barton | 33 | 11 | 1 | 2 | 5-12 | 42% | 0-4 | 0% | 1-2 | 50% | 2 | 0 | 0 | 0 | 1 | 4 | N/A | Denver |\n| Nikola Jokic | 32 | 8 | 15 | 4 | 3-9 | 33% | 0-2 | 0% | 2-2 | 100% | 1 | 0 | 1 | 3 | 12 | 2 | F | Denver |\n| Joffrey Lauvergne | 15 | 8 | 5 | 3 | 2-6 | 33% | 0-0 | 0% | 4-4 | 100% | 0 | 4 | 1 | 1 | 4 | 4 | N/A | Denver |\n| Gary Harris | 29 | 6 | 3 | 3 | 2-6 | 33% | 0-3 | 0% | 2-2 | 100% | 1 | 1 | 0 | 0 | 3 | 3 | G | Denver |\n| Axel Toupane | 9 | 5 | 1 | 0 | 1-4 | 25% | 1-1 | 100% | 2-2 | 100% | 0 | 0 | 1 | 0 | 1 | 1 | N/A | Denver |\n| D.J. Augustin | 14 | 4 | 0 | 2 | 2-5 | 40% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Denver |\n| Mike Miller | 13 | 3 | 2 | 1 | 1-3 | 33% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Denver |\n| Jameer Nelson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Kenneth Faried | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Tim Duncan | 34 | 21 | 7 | 2 | 9-15 | 60% | 0-0 | 0% | 3-6 | 50% | 0 | 2 | 1 | 2 | 5 | 1 | F | San Antonio |\n| David West | 32 | 17 | 7 | 2 | 6-12 | 50% | 0-1 | 0% | 5-6 | 83% | 1 | 0 | 5 | 1 | 6 | 3 | C | San Antonio |\n| Kevin Martin | 26 | 17 | 6 | 0 | 5-11 | 46% | 2-4 | 50% | 5-5 | 100% | 1 | 2 | 0 | 1 | 5 | 1 | N/A | San Antonio |\n| Jonathon Simmons | 35 | 15 | 5 | 0 | 5-7 | 71% | 0-1 | 0% | 5-5 | 100% | 0 | 2 | 0 | 1 | 4 | 3 | G | San Antonio |\n| Boban Marjanovic | 14 | 9 | 4 | 2 | 3-5 | 60% | 0-0 | 0% | 3-4 | 75% | 0 | 0 | 1 | 1 | 3 | 1 | N/A | San Antonio |\n| Andre Miller | 28 | 8 | 4 | 5 | 4-11 | 36% | 0-0 | 0% | 0-0 | 0% | 3 | 2 | 0 | 1 | 3 | 1 | G | San Antonio |\n| Patty Mills | 23 | 7 | 3 | 7 | 2-12 | 17% | 1-5 | 20% | 2-2 | 100% | 1 | 1 | 1 | 0 | 3 | 0 | N/A | San Antonio |\n| Kyle Anderson | 35 | 2 | 6 | 2 | 1-9 | 11% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 5 | 1 | F | San Antonio |\n| Matt Bonner | 13 | 2 | 3 | 0 | 1-3 | 33% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 1 | N/A | San Antonio |\n| LaMarcus Aldridge | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Kawhi Leonard | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Danny Green | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Tony Parker | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |" + } + ] + }, + { + "id": "table_recognition_train_item_106571", + "image": "table_instructV/images/ToTTo_train_table_27639.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Year | Album | Artist | Credit |\n| --- | --- | --- | --- |\n| 1991 | I'm On Your Side | Jennifer Holliday | Bass |\n| 1991 | Make Time For Love | Keith Washington | Bass, Programming |\n| 1991 | Power of Money: The Best of The Vibrators | The Vibrators | Bass |\n| 1994 | Rhythm of Love | Anita Baker | Programming, Producer |\n| 1996 | Original Soundtrack | The Fan | Bass (Electric), Sequencing, Keyboard Programming, Digital Sampling |\n| 1997 | 5 Miles Till Empty (UK) | Brownstone | Engineer |\n| 1998 | Conan: Music by Charles Fox | Television Soundtrack | Producer |\n| 1998 | Delicious [12] | Pure Sugar | Writer |\n| 1998 | In the Beginning | Madonna | Drums, Keyboards |\n| 1998 | Maybe You've Been Brainwashed Too | New Radicals | Engineer |\n| 1998 | Ray of Light | Madonna | Programming |\n| 1998 | These Are The Times | Pure Sugar | Bass, Guitar, Writer |\n| 1999 | Crown Royal | Run D.M.C. | Engineer, Editing, Mixing |\n| 1999 | Mama Sweet | Da Hool | Remixing |\n| 1999 | Peasants, Pigs, and Astronauts | Kula Shaker | Arranger |\n| 1999 | You Get What You Give | New Radicals | Engineer |\n| 2000 | Any Given Sunday | Original Soundtrack | Bass, Engineer, Mixing |\n| 2000 | Bitches | Mindless Self Indulgence | Engineer |\n| 2000 | The Crow: Salvation | Original Soundtrack | Engineer, Mixing |\n| 2000 | Double Wide | Uncle Kracker | Bass, Guitar, Composer, Programming, Vocals (background), Producer, Engineer, Mixing |\n| 2000 | The History of Rock | Kid Rock | Bass, Guitar, Programming, Producer, Engineer, Mixing |\n| 2000 | Mission: Impossible 2 | Original Soundtrack | Engineer, Mixing |\n| 2000 | MTV The Return of the Rock | Various Artists | Mixing |\n| 2000 | New Skin | Methods of Mayhem | Engineer |\n| 2000 | Tune In | Flak | Remixing |\n| 2000 | Volumizer | 2 Skinniee J's | Producer |\n| 2001 | American Pie 2 | Original Soundtrack | Composer, Producer, Engineer, Mixing |\n| 2001 | Down for The Getdown | Youngstown | Producer, Engineer, Mixing |\n| 2001 | Osmosis Jones | Original Soundtrack | Producer, Engineer, Mixing |\n| 2001 | Sugar | Youngstown | Bass, Guitar, Keyboards, Programming, Producer, Engineer |\n| 2001 | Summer Catch | Original Soundtrack | Producer, Engineer, Mixing |\n| 2001 | Terence Trent d'Arby's Wildcard! | Terence Trent d'Arby | Bass, Engineer |\n| 2001 | Weird Revolution | Butthole Surfers | Producer, Engineer |\n| 2002 | Clockstoppers | Original Soundtrack | Producer Mixing |\n| 2002 | Disney's Princess Favorites | Various Artists | Arranger, Producer, Mixing |\n| 2002 | Disney's Superstar Hits | Disney | Arranger, Producer, Mixing |\n| 2002 | Liberation | Tré Hardson | Producer, Engineer, Mixing |\n| 2002 | No Stranger to Shame [Clean] | Uncle Kracker | Bass, Guitar, Drums, Keyboards, Vocals (background), Producer, Mixing |\n| 2002 | Sweet Home Alabama | Original Soundtrack | Producer |\n| 2002 | Sweet Love: The Very Best of Anita Baker | Anita Baker | Piano, Synthesizer Programming |\n| 2003 | Bananas | Deep Purple | Producer, Engineer, Mixing |\n| 2003 | Best of (hed) Planet Earth | (hed) pe | Producer |\n| 2003 | Blackout | (hed) pe | Producer |\n| 2003 | I've Always Been Crazy: A Tribute to Waylon Jennings | Various Artists | Vocal Engineer |\n| 2003 | Leave the Light On | Beth Hart | Bass, Guitar, Guitar (Bass), Keyboards, Piano (Electric), Producer, Mixing, Audio Production |\n| 2005 | Rapture of the Deep | Deep Purple | Producer, Engineer |\n| 2006 | Best of Club Hits: Reloaded | Various Artists | Composer |\n| 2006 | Live Trucker | Kid Rock | Bass |\n| 2006 | Work This!: The Collection | Various Artists | Composer |\n| 2007 | Black in the Saddle | Cowboy Troy | Composer |\n| 2008 | Dave Stewart Songbook, Vol. 1 | Dave Stewart | Bass, Conductor, Producer, Engineer, Orchestration, Mixing, Musical Direction |\n| 2008 | Down to Earth | Jem | Producer, String Arrangements, Instrumentation |\n| 2008 | Steve Richard | Steve Richard | Guitar, Guitar (Bass), Vocals (background), Producer, Engineer |\n| 2008 | Work This! Workout | Various Artists | Composer |\n| 2008 | Yes We Can: Voices of a Grassroots Movement | Various Artists | Producer, Engineer, Mixing, Audio Production |\n| 2009 | Atlantic Records: The Time Capsule | Various Artists | Composer |\n| 2009 | Happy Hour | Uncle Kracker | Bass |\n| 2010 | Happy Hour: The South River Road Sessions | Uncle Kracker | Bass, Guitar, Guitar (Electric), Keyboards, Producer, Engineer, String Arrangements, Mixing |\n| 2010 | Y Not | Ringo Starr | Bass |\n| 2011 | In Your Dreams | Stevie Nicks | Bass (Album), Co-Producer (Song \"Cheaper Than Free\") |\n| 2013 | Young Scientists | The Sligh Brothers | Bass, Keyboards, Producer, Engineer, Mixing |" + } + ] + }, + { + "id": "table_recognition_train_item_104263", + "image": "table_instructV/images/ToTTo_train_table_17933.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Win | 18–2 | Alejandro Pérez | Decision (unanimous) | UFC 235 | March 2, 2019 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Loss | 17–2 | Aljamain Sterling | Submission (Suloev stretch) | UFC 228 | September 8, 2018 | 2 | 3:42 | Dallas, Texas, United States | |\n| Win | 17–1 | Bryan Caraway | Decision (split) | UFC 222 | March 3, 2018 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 16–1 | Tom Duquesnoy | Decision (split) | UFC 216 | October 7, 2017 | 3 | 5:00 | Las Vegas, Nevada, United States | Return to Bantamweight. |\n| Win | 15–1 | Terrion Ware | Decision (unanimous) | UFC 213 | July 8, 2017 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 14–1 | Zac Church | TKO (punches) | Knockout Promotions 55 | April 29, 2017 | 2 | 2:38 | Grand Rapids, Michigan, United States | |\n| Win | 13–1 | Bill Kamery | TKO (punches) | Knockout Promotions 54 | March 17, 2017 | 1 | 4:59 | Grand Rapids, Michigan, United States | Bantamweight bout. |\n| Win | 12–1 | Stephen Cervantes | Decision (majority) | Knockout Promotions 51 | November 5, 2016 | 3 | 5:00 | Grand Rapids, Michigan, United States | |\n| Win | 11–1 | Erik Vo | Submission (kimura) | Knockout Promotions 50 | August 27, 2016 | 3 | 1:22 | Grand Rapids, Michigan, United States | Return to Featherweight. |\n| Win | 10–1 | Farkhad Sharipov | Decision (unanimous) | Knockout Promotions 48 | March 26, 2016 | 3 | 5:00 | Grand Rapids, Michigan, United States | |\n| Win | 9–1 | Chris Dunn | Decision (unanimous) | Michiana Fight League 39 | October 24, 2015 | 5 | 5:00 | South Bend, Indiana, United States | Won the MFL Bantamweight Championship. |\n| Win | 8–1 | Giovanni Moljo | Decision (unanimous) | Total Warrior Combat 26 | November 22, 2014 | 3 | 5:00 | Lansing, Michigan, United States | |\n| Loss | 7–1 | Lawrence DiGiulio | Decision (split) | WXC 52 | August 15, 2014 | 3 | 5:00 | Southgate, Michigan, United States | |\n| Win | 7–0 | Ruben Baraiac | TKO (punches) | Triple X Cagefighting: Legends 4 | June 21, 2014 | 3 | 2:40 | Mt. Clemens, Michigan, United States | Defended the TXC Featherweight Championship. |\n| Win | 6–0 | Jeremy Czarnecki | Decision (unanimous) | Triple X Cagefighting: Legends 3 | February 22, 2014 | 5 | 5:00 | Mt. Clemens, Michigan, United States | Return to Featherweight. Won the vacant TXC Featherweight Championship. |\n| Win | 5–0 | Adam Alvarez | TKO (punches) | Triple X Cagefighting: Legends 2 | October 19, 2013 | 1 | 1:40 | Mt. Clemens, Michigan, United States | Bantamweight debut. |\n| Win | 4–0 | Terry House Jr. | Decision (unanimous) | Hoosier Fight Club 16 | June 1, 2013 | 3 | 5:00 | Valparaiso, Indiana, United States | Catchweight (140 lbs) bout. |\n| Win | 3–0 | Benjamin Alexandercu | KO (punch) | Local Kombat: New Begininngs | February 22, 2013 | 2 | 3:48 | Craiova, Romania | |\n| Win | 2–0 | Chris Bourdon | Submission (guillotine choke) | Impact Fight League 51 | November 17, 2012 | 1 | 0:08 | Auburn Hills, Michigan, United States | |\n| Win | 1–0 | Chad Coon | TKO (punches) | Impact Fight League 39 | November 19, 2011 | 1 | 3:49 | Auburn Hills, Michigan, United States | |" + } + ] + }, + { + "id": "table_recognition_train_item_67488", + "image": "table_instructV/images/TabFact_2-16022840-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| pick | player | team | position | school |\n| --- | --- | --- | --- | --- |\n| 1 | timothy beckham | tampa bay devil rays | shortstop | griffin high school ( ga ) |\n| 2 | pedro álvarez | pittsburgh pirates | third baseman | vanderbilt |\n| 3 | eric hosmer | kansas city royals | first baseman | american heritage school ( fl ) |\n| 4 | brian matusz | baltimore orioles | left - handed pitcher | san diego |\n| 5 | buster posey | san francisco giants | catcher | florida state |\n| 6 | kyle skipworth | florida marlins | catcher | patriot high school ( ca ) |\n| 7 | yonder alonso | cincinnati reds | first baseman | miami (fl) |\n| 8 | gordon beckham | chicago white sox | shortstop | georgia |\n| 9 | aaron crow | washington nationals | right - handed pitcher | missouri |\n| 10 | jason castro | houston astros | catcher | stanford |\n| 11 | justin smoak | texas rangers | first baseman | south carolina |\n| 12 | jemile weeks | oakland athletics | second baseman | miami (fl) |\n| 13 | brett wallace | st louis cardinals | third baseman | arizona state |\n| 14 | aaron hicks | minnesota twins | outfielder | woodrow wilson high school ( ca ) |\n| 15 | ethan martin | los angeles dodgers | right - handed pitcher | stephens county high school ( ga ) |\n| 16 | brett lawrie | milwaukee brewers | catcher | brookswood secondary school ( canada ) |\n| 17 | david cooper | toronto blue jays | first baseman | california |\n| 18 | ike davis | new york mets | first baseman | arizona state |\n| 19 | andrew cashner | chicago cubs | right - handed pitcher | tcu |\n| 20 | josh fields | seattle mariners | right - handed pitcher | georgia |\n| 21 | ryan perry | detroit tigers | right - handed pitcher | arizona |\n| 22 | reese havens | new york mets | shortstop | south carolina |\n| 23 | allan dykstra | san diego padres | first baseman | wake forest |\n| 24 | anthony hewitt | philadelphia phillies | shortstop | salisbury school ( ct ) |\n| 25 | christian friedrich | colorado rockies | left - handed pitcher | eastern kentucky |\n| 26 | daniel schlereth | arizona diamondbacks | left - handed pitcher | arizona |\n| 27 | carlos gutierrez | minnesota twins | right - handed pitcher | miami (fl) |\n| 28 | gerrit cole | new york yankees | right - handed pitcher | orange lutheran high school ( ca ) |\n| 29 | lonnie chisenhall | cleveland indians | shortstop | pitt community college ( nc ) |\n| 30 | casey kelly | boston red sox | right - handed pitcher | sarasota high school ( fl ) |" + } + ] + }, + { + "id": "table_recognition_train_item_68152", + "image": "table_instructV/images/TabFact_2-12126919-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| name | team | qual 1 | qual 2 | best |\n| --- | --- | --- | --- | --- |\n| sãbastien bourdais | n / h / l racing | 58.783 | 58.288 | 58.288 |\n| justin wilson | rsports | 59.099 | 58.299 | 58.299 |\n| oriol servia | forsythe racing | 58.801 | 58.661 | 58.661 |\n| simon pagenaud | team australia | 59.341 | 58.664 | 58.664 |\n| bruno junqueira | dale coyne racing | 59.547 | 58.675 | 58.675 |\n| alex tagliani | rsports | 59.737 | 58.779 | 58.779 |\n| will power | team australia | 1:01.040 | 58.790 | 58.790 |\n| jan heylen | conquest racing | 59.813 | 58.816 | 58.816 |\n| neel jani | pkv racing | 1:00.123 | 58.834 | 58.834 |\n| paul tracy | forsythe racing | 59.368 | 58.882 | 58.882 |\n| ryan dalziel | pacific coast motorsports | 59.880 | 58.912 | 58.912 |\n| robert doornbos | minardi team usa | 59.132 | 59.024 | 59.024 |\n| dan clarke | minardi team usa | 59.288 | 59.263 | 59.263 |\n| tristan gommendy | pkv racing | 59.624 | 59.265 | 59.265 |\n| graham rahal | n / h / l racing | 59.456 | 59.384 | 59.384 |\n| katherine legge | dale coyne racing | 59.520 | 59.562 | 59.520 |\n| alex figge | pacific coast motorsports | 1:00.880 | 59.973 | 59.973 |" + } + ] + }, + { + "id": "table_recognition_train_item_30946", + "image": "table_instructV/images/TABMWP_2430.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of branches | Number of pears |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_53092", + "image": "table_instructV/images/TabFact_2-18852984-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| years covered | all bills sponsored | all amendments sponsored | all bills cosponsored | all amendments cosponsored | bills originally cosponsored | amendments originally cosponsored |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2007 - 08 | 22 | 16 | 133 | 74 | 101 | 57 |\n| 2005 - 06 | 75 | 68 | 152 | 42 | 113 | 36 |\n| 2003 - 04 | 77 | 112 | 181 | 47 | 116 | 39 |\n| 2001 - 02 | 54 | 178 | 121 | 55 | 97 | 53 |\n| 1999 - 00 | 102 | 65 | 175 | 37 | 110 | 33 |\n| 1997 - 98 | 74 | 150 | 147 | 59 | 79 | 50 |\n| 1995 - 96 | 80 | 137 | 118 | 61 | 66 | 56 |\n| 1993 - 94 | 53 | 91 | 201 | 89 | 98 | 82 |\n| 1991 - 92 | 159 | 52 | 353 | 66 | 175 | 63 |\n| 1989 - 90 | 39 | 24 | 247 | 86 | 150 | 81 |\n| 1987 - 88 | 24 | 15 | 342 | 79 | 171 | 76 |\n| 1985 - 86 | 12 | 10 | 335 | 0 | 117 | 0 |\n| 1983 - 84 | 6 | 1 | 286 | 0 | 107 | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_60064", + "image": "table_instructV/images/TabFact_1-103084-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| year | broadcast date | bbc one total viewing | bbc one rank | bbc two total viewing | bbc two rank |\n| --- | --- | --- | --- | --- | --- |\n| 1999 | 12 march | 6830000 | 20th | 3130000 | 13th |\n| 2001 | 16 march | 8510000 | 8th | n / a | n / a |\n| 2003 | 14 march | 11740000 | 4th | 6010000 | 1st |\n| 2005 | 11 march | 10940000 | 4th | 4720000 | 1st |\n| 2007 | 16 march | 9730000 | 2nd | 6400000 | 1st |\n| 2009 | 13 march | 9840000 | 1st | 7090000 | 1st |\n| 2011 | 18 march | 10260000 | 1st | 7530000 | 1st |\n| 2013 | 15 march | 10280000 | 1st | 4790000 | 1st |" + } + ] + }, + { + "id": "table_recognition_train_item_62124", + "image": "table_instructV/images/TabFact_2-1154762-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| athlete (nation) | olympics | gold | silver | bronze | total |\n| --- | --- | --- | --- | --- | --- |\n| elisabeta lipă romania (rou) | 1984 , 1988 , 1992 , 1996 , 2000 , 2004 | 5 | 2 | 1 | 8 |\n| steve redgrave great britain (gbr) | 1984 , 1988 , 1992 , 1996 , 2000 | 5 | 0 | 1 | 6 |\n| georgeta damian romania (rou) | 2000 , 2004 , 2008 | 5 | 0 | 1 | 6 |\n| doina ignat romania (rou) | 1992 , 1996 , 2000 , 2004 , 2008 | 4 | 1 | 1 | 6 |\n| kathrin boron germany (ger) | 1992 , 1996 , 2000 , 2004 , 2008 | 4 | 0 | 1 | 5 |\n| viorica susanu romania (rou) | 1996 , 2000 , 2004 , 2008 | 4 | 0 | 1 | 5 |\n| matthew pinsent great britain (gbr) | 1992 , 1996 , 2000 , 2004 | 4 | 0 | 0 | 4 |\n| jack beresford great britain (gbr) | 1920 , 1924 , 1928 , 1932 , 1936 | 3 | 2 | 0 | 5 |\n| constanţa burcică romania (rou) | 1992 , 1996 , 2000 , 2004 , 2008 | 3 | 1 | 1 | 5 |\n| elena georgescu romania (rou) | 1992 , 1996 , 2000 , 2004 , 2008 | 3 | 1 | 1 | 5 |\n| drew ginn australia (aus) | 1996 , 2004 , 2008 , 2012 | 3 | 1 | 0 | 4 |\n| eskild ebbesen denmark (den) | 1996 , 2000 , 2004 , 2008 , 2012 | 3 | 0 | 2 | 5 |\n| marnie mcbean canada (can) | 1992 , 1996 | 3 | 0 | 1 | 4 |\n| kathleen heddle canada (can) | 1992 , 1996 | 3 | 0 | 1 | 4 |\n| james tomkins australia (aus) | 1992 , 1996 , 2000 , 2004 | 3 | 0 | 1 | 4 |\n| john b kelly , sr united states (usa) | 1920 , 1924 | 3 | 0 | 0 | 3 |\n| paul costello united states (usa) | 1920 , 1924 , 1928 | 3 | 0 | 0 | 3 |\n| vyacheslav ivanov soviet union (urs) | 1956 , 1960 , 1964 | 3 | 0 | 0 | 3 |\n| siegfried brietzke east germany (gdr) | 1972 , 1976 , 1980 | 3 | 0 | 0 | 3 |\n| pertti karppinen finland (fin) | 1976 , 1980 , 1984 | 3 | 0 | 0 | 3 |\n| agostino abbagnale italy (ita) | 1988 , 1996 , 2000 | 3 | 0 | 0 | 3 |\n| liliana gafencu romania (rou) | 1996 , 2000 , 2004 | 3 | 0 | 0 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_107934", + "image": "table_instructV/images/ToTTo_train_table_33302.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Image | Name | Location | Opening date | Owner | No. of stores | GLA | Location | Ref. |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| | Centro Plaza Occidente | Chinandega | 2011 | Santasara, S.A | 60 | 14,361 m2 | 12°37′19″N 87°07′10″W / 12.621884°N 87.119356°W | |\n| | Multicentro Estelí | Estelí | 2013 | Desarrollos de Nicaragua | 46 | 7,000 m2 | 13°06′00″N 86°21′07″W / 13.100039°N 86.351947°W | |\n| - | Camino de Oriente | Managua | 1974 | N/A | 74 | N/A | 12°06′38″N 86°15′16″W / 12.110655°N 86.254312°W | |\n| - | Centro Comercial Managua | Managua | 1973 | Inversiones Comerciales, S.A. | 210 | 20,500 m2 | 12°07′00″N 86°14′53″W / 12.116636°N 86.247998°W | |\n| - | Galerías Santo Domingo | Managua | 2005 | Inmobiliaria Santo Domingo | 108 | 57,000 m2 | 12°06′13″N 86°14′57″W / 12.10366°N 86.249103°W | |\n| - | Metrocentro Managua | Managua | 1974 | Grupo Roble | 120 | 50,000 m2 | 12°07′43″N 86°15′54″W / 12.128537°N 86.264896°W | |\n| - | Multicentro Las Américas | Managua | 2006 | Desarrollos Sooner | 147 | 53,000 m2 | 12°08′21″N 86°13′44″W / 12.139273°N 86.229024°W | |\n| - | Plaza Inter | Managua | 1998 | Nica Eastern Development | 65 | 16,000 m2 | 12°08′40″N 86°16′28″W / 12.144499°N 86.274332°W | |" + } + ] + }, + { + "id": "table_recognition_train_item_103967", + "image": "table_instructV/images/ToTTo_train_table_16516.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Name | ISSN | Abbreviations | Publication Years | Publisher | City, State | Country | Affiliation |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| TC: A Journal of Biblical Textual Criticism | 1089-7747 | TC | | Scholars Press | Atlanta, Georgia | United States | |\n| Technical Papers for the Bible Translator (alternative title for The Bible Translator) | 0260-0935 | | | United Bible Societies | | United Kingdom | |\n| Texte und Untersuchungen zur Geschichte der altchristlichen Literatur | | | | | | | |\n| Theological Students Fellowship Bulletin (became Themelios below) | | TSF Bull | | Theological Students Fellowship | Leicester | United Kingdom | |\n| Themelios (was the Theological Students Fellowship Bulletin) | 0307-8388 | Them | 1962-present | The Gospel Coalition since 2008; formerly RTSF/UCCF | Leicester | United Kingdom | Reformed |\n| Theological Studies | 0040-5639 | TheolStud or TS | 1940-present | Society of Jesus in the United States and Marquette University and SAGE Publications | | United States | |\n| Theological Studies/Teologiese Studies | 0259-9422 (print) or 2072-8050 (online) | | 1942-present | University of Pretoria by AOSIS OpenJournals | Pretoria | South Africa | |\n| Theologische Rundschau | 0040-5698 (print) or 1868-727X (online) | ThR | | Mohr Siebeck GmbH | Tübingen | German | |\n| Theology | | Theol | | | London | United Kingdom | |\n| Theology and Science | 1474-6700 (Print) or 1474-6719 (online) | | | Center for Theology and the Natural Sciences by Taylor & Francis | | | |\n| Theology & Sexuality | 1355-8358 (print) or 1745-5170 (online) | | | Affiliated to the Centre for the Study of Christianity and Sexuality by Equinox Publications | London | United Kingdom | |\n| Theology Digest | 0040-5728 | TD | | Saint Louis University | Saint Louis, Missouri | United States | Christian |\n| Theology of Leadership Journal | 2578-4072 | TLJ | | Theology of Leadership Journal | Georgia | United States | Christian |\n| Theological Reflections | | | | Odessa Theological Seminary | Odessa | Ukraine | Christian, Baptist |\n| Theology Today | 0040-5736 (print) or 2044-2556 (online) | TToday | 1944-present | Princeton Theological Seminary | Princeton, New Jersey | United States | |\n| Third Way | 0309-3492 | | 1977-2016 | Hymns Ancient & Modern Ltd | London | United Kingdom | Evangelical |\n| Toronto Journal of Theology | 0826-9831 (print) or 1918-6371 (online) | TJT | | University of Toronto Press | Toronto | Canada | |\n| Touchstone: A Journal of Mere Christianity | | | | Fellowship of St. James | Chicago, Illinois | United States | Christian |\n| Traditio | 2166-5508 | | | Fordham University Press | New York City, New York | United States | |\n| Transformation | 0265-3788 (print) or 1759-8931 (online) | Transformation | | Oxford Centre for Mission Studies by SAGE Publications | Oxford | United Kingdom | |\n| Trinity Journal | 0360-3032 | TrinJ | 1980-present | Trinity Evangelical Divinity School | Bannockburn, IL | United States | Evangelical |\n| Tyndale Bulletin | 0082-7118 | TB | 1956-present | Tyndale House | Cambridge | United Kingdom | Evangelical |\n| Tyndale Society Journal | 1357-4167 | | | Tyndale Society | Oxford | United Kingdom | |" + } + ] + }, + { + "id": "table_recognition_train_item_51632", + "image": "table_instructV/images/TAT-QA_91d5f3d0-c5f0-41dd-a12a-916ed52cf82e.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Three months ended August 31, | 2019 (1) | 2018 (2) | Change | Change in constant currency (3) | Foreign exchange impact (3) |\n| --- | --- | --- | --- | --- | --- |\n| (in thousands of dollars, except percentages) | $ | $ | % | % | $ |\n| Canadian broadband services | 172,120 | 166,181 | 3.6 | 3.6 | (73) |\n| American broadband services | 115,523 | 109,937 | 5.1 | 4.1 | 1,057 |\n| Inter-segment eliminations and other | (12,033) | (12,707) | (5.3) | (5.3) | 2 |\n| | 275,610 | 263,411 | 4.6 | 4.3 | 986 |" + } + ] + }, + { + "id": "table_recognition_train_item_49102", + "image": "table_instructV/images/TAT-QA_7bb59a84-52a5-44b2-81e9-b43053a2df19.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| | | Total contributions for | Defined benefit obligation for all pension commitments excluding deferred compensation 1 | |\n| --- | --- | --- | --- | --- |\n| (in €) | 2019 | 2018 | 2019 | 2018 |\n| Managing Board members in office as of September 30, 2019 | | | | |\n| Joe Kaeser | 1,234,800 | 1,210,440 | 14,299,267 | 12,970,960 |\n| Dr. Roland Busch | 616,896 | 604,800 | 6,071,233 | 5,121,226 |\n| Lisa Davis 2 | 616,896 | 604,800 | 5,701,811 | 5,322,537 |\n| Klaus Helmrich | 616,896 | 604,800 | 6,473,904 | 5,714,522 |\n| Janina Kugel | 616,896 | 604,800 | 2,674,432 | 2,157,427 |\n| Cedrik Neike | 616,896 | 604,800 | 2,349,895 | 1,757,258 |\n| Michael Sen | 616,896 | 604,800 | 1,862,660 | 1,239,785 |\n| Prof. Dr. Ralf P. Thomas | 616,896 | 604,800 | 6,184,498 | 5,235,121 |\n| Total | 5,553,072 | 5,444,040 | 45,617,700 | 39,518,836 |" + } + ] + }, + { + "id": "table_recognition_train_item_102472", + "image": "table_instructV/images/ToTTo_train_table_10322.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| Climate data for Christchurch, Dorset, England |\n| --- |\n| Month | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Year |\n| Average high °C (°F) | 8 (46) | 8 (46) | 11 (52) | 13 (55) | 17 (63) | 19 (66) | 22 (72) | 22 (72) | 19 (66) | 15 (59) | 11 (52) | 9 (48) | 14.5 (58.1) |\n| Average low °C (°F) | 2 (36) | 2 (36) | 3 (37) | 4 (39) | 7 (45) | 10 (50) | 12 (54) | 12 (54) | 10 (50) | 7 (45) | 4 (39) | 3 (37) | 6.3 (43.3) |\n| Average precipitation mm (inches) | 62.9 (2.48) | 50.3 (1.98) | 40.7 (1.60) | 45.5 (1.79) | 29.2 (1.15) | 35.6 (1.40) | 31.8 (1.25) | 35.5 (1.40) | 51.5 (2.03) | 75.3 (2.96) | 69.0 (2.72) | 67.2 (2.65) | 594.5 (23.41) |\n| Source: MSN |" + } + ] + }, + { + "id": "table_recognition_train_item_52940", + "image": "table_instructV/images/TabFact_1-15329030-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| state | date of polls | seats (acs) | date of counting | incumbent | election winner |\n| --- | --- | --- | --- | --- | --- |\n| tripura | saturday , 23 february 2008 | 60 | friday , 7 mar 2008 | cpi (m) | cpi (m) |\n| meghalaya | monday , 3 march 2008 | 60 | friday , 7 mar 2008 | inc | mpa 1 |\n| nagaland | wednesday , 5 march 2008 | 60 | saturday , 8 march 2008 | dan | dan 2 |\n| madhya pradesh | thursday , 27 november 2008 | 230 | monday , 8 december 2008 | bjp | bjp |\n| delhi | saturday , 29 november 2008 | 70 | monday , 8 december 2008 | inc | inc |\n| mizoram | tuesday , 2 december 2008 | 40 | monday , 08 dec 2008 | mnf | inc |" + } + ] + }, + { + "id": "table_recognition_train_item_69836", + "image": "table_instructV/images/TabFact_2-13955259-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| round | venue | discipline | date | winner | second | third |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | düsseldorf | 0.8 km f sprint | 27 october 2007 | natalya matveyeva ( rus ) | marit bjørgen ( nor ) | anna dahlberg ( swe ) |\n| 2 | beitostølen | 10 km f individual | 24 november 2007 | marit bjørgen ( nor ) | vibeke skofterud ( nor ) | charlotte kalla ( swe ) |\n| 3 | kuusamo | 1.2 km c sprint | 1 december 2007 | petra majdič ( slo ) | astrid uhrenholdt jacobsen ( nor ) | alena procházková ( svk ) |\n| 4 | kuusamo | 10 km c individual | 2 december 2007 | marit bjørgen ( nor ) | astrid uhrenholdt jacobsen ( nor ) | justyna kowalczyk ( pol ) |\n| 5 | davos | 10 km c individual | 8 december 2007 | virpi kuitunen ( fin ) | vibeke skofterud ( nor ) | kristin størmer steira ( nor ) |\n| 6 | rybinsk | 15 km f mass start | 15 december 2007 | astrid uhrenholdt jacobsen ( nor ) | natalya korostelyova ( rus ) | riitta liisa roponen ( fin ) |\n| 7 | rybinsk | 1.3 km f sprint | 16 december 2007 | kikkan randall ( usa ) | astrid uhrenholdt jacobsen ( nor ) | natalya korostelyova ( rus ) |\n| tour de ski | tour de ski | tour de ski | tour de ski | tour de ski | tour de ski | tour de ski |\n| 8 | nové město | 3.3 km c prologue | 28 december 2007 | virpi kuitunen ( fin ) | aino kaisa saarinen ( fin ) | justyna kowalczyk ( pol ) |\n| 9 | nové město | 10 km f handicap start | 29 december 2007 | charlotte kalla ( swe ) | sabina valbusa ( ita ) | marit bjørgen ( nor ) |\n| 10 | prague | 1 km f sprint | 30 december 2007 | arianna follis ( ita ) | pirjo muranen ( fin ) | marit bjørgen ( nor ) |\n| 11 | nové město | 10 km f handicap start | 1 january 2008 | charlotte kalla ( swe ) | kristin størmer steira ( nor ) | claudia künzel - nystad ( ger ) |\n| 12 | nové město | 10 km c individual | 2 january 2008 | aino kaisa saarinen ( fin ) | virpi kuitunen ( fin ) | therese johaug ( nor ) |\n| 13 | asiago | 1.2 km f sprint | 4 january 2008 | charlotte kalla ( swe ) | natalia korosteleva ( rus ) | justyna kowalczyk ( pol ) |\n| 14 | val di fiemme | 10 km c mass start | 5 january 2008 | virpi kuitunen ( fin ) | charlotte kalla ( swe ) | claudia künzel - nystad ( ger ) |\n| 15 | val di fiemme | 9 km f handicap start | 6 january 2008 | valentina shevchenko ( ukr ) | kristin størmer steira ( nor ) | claudia künzel - nystad ( ger ) |\n| tour de ski - final standings | tour de ski - final standings | tour de ski - final standings | tour de ski - final standings | charlotte kalla ( swe ) | virpi kuitunen ( fin ) | arianna follis ( ita ) |\n| end of tour de ski | end of tour de ski | end of tour de ski | end of tour de ski | end of tour de ski | end of tour de ski | end of tour de ski |\n| 16 | canmore | 10 + 10 km m pursuit | 22 january 2008 | justyna kowalczyk ( pol ) | yevgeniya medvedeva ( rus ) | olga rocheva ( rus ) |\n| 17 | canmore | 1.2 km c sprint | 23 january 2008 | petra majdič ( slo ) | astrid uhrenholdt jacobsen ( nor ) | justyna kowalczyk ( pol ) |\n| 18 | canmore | 10 km f individual | 25 january 2008 | valentina shevchenko ( ukr ) | yevgeniya medvedeva ( rus ) | justyna kowalczyk ( pol ) |\n| 19 | canmore | 1.2 km f sprint | 26 january 2008 | chandra crawford ( can ) | pirjo muranen ( fin ) | magda genuin ( ita ) |\n| 20 | otepää | 10 km c individual | 9 february 2008 | virpi kuitunen ( fin ) | aino kaisa saarinen ( fin ) | therese johaug ( nor ) |\n| 21 | otepää | 1.2 km c sprint | 10 february 2008 | petra majdič ( slo ) | astrid uhrenholdt jacobsen ( nor ) | virpi kuitunen ( fin ) |\n| 22 | liberec | 7.6 km f individual | 16 february 2008 | astrid uhrenholdt jacobsen ( nor ) | justyna kowalczyk ( pol ) | charlotte kalla ( swe ) |\n| 23 | falun | 10 + 10 km m pursuit | 23 february 2008 | astrid uhrenholdt jacobsen ( nor ) | marit bjørgen ( nor ) | aino kaisa saarinen ( fin ) |\n| 24 | stockholm | 1 km c sprint | 27 february 2008 | virpi kuitunen ( fin ) | petra majdič ( slo ) | madoka natsumi ( jpn ) |\n| 25 | lahti | 1.2 km f sprint | 1 march 2008 | chandra crawford ( can ) | natalya matveyeva ( rus ) | evi sachenbacher - stehle ( ger ) |\n| 26 | lahti | 10 km c individual | 2 march 2008 | virpi kuitunen ( fin ) | valentina shevchenko ( ukr ) | katrin zeller ( ger ) |\n| 27 | drammen | 1 km c sprint | 5 march 2008 | virpi kuitunen ( fin ) | petra majdič ( slo ) | astrid uhrenholdt jacobsen ( nor ) |\n| 28 | oslo | 30 km f individual | 8 march 2008 | valentina shevchenko ( ukr ) | charlotte kalla ( swe ) | claudia künzel - nystad ( ger ) |\n| world cup final | world cup final | world cup final | world cup final | world cup final | world cup final | world cup final |\n| 29 | bormio | 2.5 km f prologue | 14 march 2008 | claudia künzel - nystad ( ger ) | astrid uhrenholdt jacobsen ( nor ) | riitta liisa roponen ( fin ) |\n| 30 | bormio | 10 km c mass start | 15 march 2008 | virpi kuitunen ( fin ) | justyna kowalczyk ( pol ) | claudia künzel - nystad ( ger ) |\n| 30 | bormio | 10 km f handicap start | 16 march 2008 | virpi kuitunen ( fin ) | justyna kowalczyk ( pol ) | claudia künzel - nystad ( ger ) |" + } + ] + }, + { + "id": "table_recognition_train_item_54554", + "image": "table_instructV/images/TabFact_1-24951872-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| week | date | kickoff | opponent | final score | team record | game site | attendance |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | saturday , april 3 | 7:00 pm | frankfurt galaxy | l 11 - 34 | 0 - 1 | waldstadion | 21269 |\n| 2 | saturday , april 10 | 7:00 pm | berlin thunder | l 17 - 28 | 0 - 2 | amsterdam arena | 10763 |\n| 3 | sunday , april 18 | 2:00 pm | scottish claymores | w 3 - 0 | 1 - 2 | hampden park | 10971 |\n| 4 | sunday , april 25 | 3:00 pm | frankfurt galaxy | w 21 - 17 ot | 2 - 2 | amsterdam arena | 10684 |\n| 5 | sunday , may 2 | 4:00 pm | berlin thunder | l 29 - 33 | 2 - 3 | olympic stadium | 12909 |\n| 6 | sunday , may 9 | 4:00 pm | rhein fire | l 13 - 20 | 2 - 4 | arena aufschalke | 18790 |\n| 7 | saturday , may 15 | 7:00 pm | cologne centurions | w 17 - 10 | 3 - 4 | amsterdam arena | 14437 |\n| 8 | friday , may 21 | 8:00 pm | scottish claymores | l 17 - 19 | 3 - 5 | amsterdam arena | 10738 |\n| 9 | sunday , may 30 | 4:00 pm | cologne centurions | w 23 - 18 | 4 - 5 | rheinenergiestadion | 9056 |" + } + ] + }, + { + "id": "table_recognition_train_item_114043", + "image": "table_instructV/images/Rotowire_train_table_1364.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Rockets | Houston | 102 | 25 | 28 | 21 | 28 | 26 | 41 | 13 | 46 | 88 | 28 | 40 | 18 | | | | |\n| Nets | Brooklyn | 98 | 36 | 21 | 16 | 25 | 17 | 44 | 16 | 45 | 90 | 24 | 23 | 33 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Rockets | | | | | | | | | | | | | | | | | | |\n| Terrence Jones | 36 | 26 | 12 | 0 | 11-16 | 69% | 0-1 | 0% | 4-4 | 100% | 0 | 2 | 1 | 3 | 9 | 2 | F | Houston |\n| Trevor Ariza | 37 | 20 | 5 | 2 | 7-11 | 64% | 5-9 | 56% | 1-1 | 100% | 2 | 2 | 0 | 0 | 5 | 2 | F | Houston |\n| James Harden | 38 | 15 | 5 | 12 | 4-15 | 27% | 0-4 | 0% | 7-7 | 100% | 1 | 4 | 0 | 0 | 5 | 3 | G | Houston |\n| Donatas Motiejunas | 24 | 11 | 3 | 1 | 5-11 | 46% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 2 | 1 | 4 | C | Houston |\n| Josh Smith | 29 | 10 | 9 | 2 | 5-10 | 50% | 0-5 | 0% | 0-2 | 0% | 0 | 2 | 4 | 1 | 8 | 5 | N/A | Houston |\n| Patrick Beverley | 34 | 9 | 4 | 3 | 3-9 | 33% | 2-7 | 29% | 1-1 | 100% | 3 | 1 | 0 | 1 | 3 | 4 | G | Houston |\n| Corey Brewer | 17 | 6 | 0 | 0 | 3-9 | 33% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Houston |\n| Jason Terry | 11 | 5 | 2 | 1 | 1-1 | 100% | 1-1 | 100% | 2-2 | 100% | 0 | 1 | 0 | 0 | 2 | 2 | N/A | Houston |\n| Pablo Prigioni | 12 | 0 | 1 | 5 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 2 | 0 | 0 | 1 | 0 | 1 | N/A | Houston |\n| Joey Dorsey | 2 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 1 | N/A | Houston |\n| KJ McDaniels | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Nick Johnson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Nets | | | | | | | | | | | | | | | | | | |\n| Mason Plumlee | 22 | 15 | 4 | 0 | 7-10 | 70% | 0-0 | 0% | 1-1 | 100% | 1 | 2 | 2 | 2 | 2 | 4 | C | Brooklyn |\n| Deron Williams | 34 | 15 | 5 | 3 | 6-15 | 40% | 0-3 | 0% | 3-3 | 100% | 3 | 1 | 0 | 0 | 5 | 2 | G | Brooklyn |\n| Markel Brown | 35 | 14 | 4 | 1 | 5-12 | 42% | 2-5 | 40% | 2-2 | 100% | 2 | 1 | 0 | 1 | 3 | 5 | G | Brooklyn |\n| Joe Johnson | 40 | 13 | 9 | 6 | 5-13 | 39% | 0-2 | 0% | 3-4 | 75% | 1 | 1 | 0 | 0 | 9 | 1 | F | Brooklyn |\n| Alan Anderson | 37 | 13 | 3 | 1 | 4-6 | 67% | 1-2 | 50% | 4-4 | 100% | 0 | 3 | 0 | 0 | 3 | 1 | F | Brooklyn |\n| Brook Lopez | 22 | 12 | 12 | 1 | 4-12 | 33% | 0-0 | 0% | 4-4 | 100% | 0 | 3 | 1 | 8 | 4 | 4 | N/A | Brooklyn |\n| Thaddeus Young | 16 | 9 | 2 | 0 | 4-7 | 57% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 2 | N/A | Brooklyn |\n| Jarrett Jack | 23 | 4 | 1 | 5 | 2-9 | 22% | 0-3 | 0% | 0-0 | 0% | 1 | 4 | 1 | 0 | 1 | 2 | N/A | Brooklyn |\n| Cory Jefferson | 10 | 3 | 4 | 0 | 1-1 | 100% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 1 | 3 | 0 | N/A | Brooklyn |\n| Bojan Bogdanovic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |\n| Sergey Karasev | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |\n| Jerome Jordan | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |\n| Darius Morris | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |" + } + ] + }, + { + "id": "table_recognition_train_item_35522", + "image": "table_instructV/images/TABMWP_36404.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of football fields | Number of sprinklers |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | 20 |\n| 5 | 25 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_63048", + "image": "table_instructV/images/TabFact_1-2899987-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| network | flagship | programming | region | origin | owner |\n| --- | --- | --- | --- | --- | --- |\n| 7 saltillo | xhrcg | entertainment | coahuila | saltillo | televisa |\n| tv cu4tro | xhleg | educational | guanajuato | león | estado de guanajuato |\n| soy guerrero | xhhcg | educational | guerrero | chilpancingo | estado de guerrero |\n| c3 hidalgo | xhpah | educational | hidalgo | pachuca | estado de hidalgo |\n| tv mexiquense | xhptp | educational | state of mexico | mexico city | sistema de radio y televisión mexiquense |\n| smrtv | xhmor | educational | michoacán | morelia | estado de michoacán |\n| tv azteca noreste | xhfn | entertainment | coahuila , nuevo león , and tamaulipas | monterrey | tv azteca |\n| tvnl | xhmnl | educational | nuevo león | monterrey | estado de nuevo león |\n| oaxaca tv | xhaox | educational | oaxaca | oaxaca | estado de oaxaca |\n| sicom | xhpue | educational | puebla | puebla | estado de puebla |\n| rtv | xhgv | educational | veracruz | xalapa | estado de veracruz |\n| telemax | xewh | educational | sonora | hermosillo | estado de sonora |\n| tv tabasqueña | xhsta | educational | tabasco | villahermosa | estado de tabasco |\n| televisa tamaulipas | xhtk | entertainment | tamaulipas | ciudad victoria | televisa |" + } + ] + }, + { + "id": "table_recognition_train_item_56724", + "image": "table_instructV/images/TabFact_1-26352332-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| engine family | cylinder layout | displacement (s) | injection type | years produced |\n| --- | --- | --- | --- | --- |\n| maxxforce 5 | v6 | 275 cubic inches (4.5l) | direct injection | 2007 - current |\n| maxxforce 7 3rd generation ford powerstroke | v8 | 6.4l | direct injection | 2007 - current (international) 2008 - 2010 (ford) |\n| maxxforce dt | inline - 6 | 466 cubic inches (7.6l) | direct injection | 2007 - current |\n| maxxforce 9 | inline - 6 | 570 cubic inches (9.3l) | direct injection | 2007 - current |\n| maxxforce 10 | inline - 6 | 570 cubic inches (9.3l) | direct injection | 2007 - current |\n| maxxforce 11 | inline - 6 | 10.5l | direct injection | 2007 - current |" + } + ] + }, + { + "id": "table_recognition_train_item_101382", + "image": "table_instructV/images/ToTTo_train_table_5813.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Channel | Frequency | Channel | Frequency | Channel | Frequency | Channel | Frequency |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 26.965 MHz | 11 | 27.085 MHz | 21 | 27.215 MHz | 31 | 27.315 MHz |\n| 2 | 26.975 MHz | 12 | 27.105 MHz | 22 | 27.225 MHz | 32 | 27.325 MHz |\n| 3 | 26.985 MHz | 13 | 27.115 MHz | 23 | 27.255 MHz | 33 | 27.335 MHz |\n| 4 | 27.005 MHz | 14 | 27.125 MHz | 24 | 27.235 MHz | 34 | 27.345 MHz |\n| 5 | 27.015 MHz | 15 | 27.135 MHz | 25 | 27.245 MHz | 35 | 27.355 MHz |\n| 6 | 27.025 MHz | 16 | 27.155 MHz | 26 | 27.265 MHz | 36 | 27.365 MHz |\n| 7 | 27.035 MHz | 17 | 27.165 MHz | 27 | 27.275 MHz | 37 | 27.375 MHz |\n| 8 | 27.055 MHz | 18 | 27.175 MHz | 28 | 27.285 MHz | 38 | 27.385 MHz |\n| 9 | 27.065 MHz | 19 | 27.185 MHz | 29 | 27.295 MHz | 39 | 27.395 MHz |\n| 10 | 27.075 MHz | 20 | 27.205 MHz | 30 | 27.305 MHz | 40 | 27.405 MHz |" + } + ] + }, + { + "id": "table_recognition_train_item_68998", + "image": "table_instructV/images/TabFact_1-27734577-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4 | november 2 | cleveland | w 100 - 88 (ot) | marvin williams (22) | al horford (12) | joe johnson (9) | quicken loans arena 20562 | 4 - 0 |\n| 5 | november 3 | detroit | w 94 - 85 (ot) | josh smith (22) | josh smith (11) | joe johnson (8) | philips arena 13003 | 5 - 0 |\n| 6 | november 5 | minnesota | w 113 - 103 (ot) | josh smith , jamal crawford (20) | al horford (12) | josh smith (6) | target center 17222 | 6 - 0 |\n| 7 | november 7 | phoenix | l 114 - 118 (ot) | joe johnson (34) | al horford (10) | joe johnson (6) | philips arena 13395 | 6 - 1 |\n| 8 | november 8 | orlando | l 89 - 93 (ot) | joe johnson (23) | josh smith (13) | josh smith (6) | amway center 18846 | 6 - 2 |\n| 9 | november 10 | milwaukee | l 91 - 108 (ot) | zaza pachulia (16) | josh smith (8) | jamal crawford (5) | philips arena 11211 | 6 - 3 |\n| 10 | november 12 | utah | l 86 - 90 (ot) | joe johnson (23) | josh smith (13) | al horford , josh smith (5) | philips arena 17069 | 6 - 4 |\n| 11 | november 14 | minnesota | w 111 - 105 (ot) | al horford (28) | al horford , josh smith (10) | joe johnson (5) | philips arena 12027 | 7 - 4 |\n| 12 | november 16 | indiana | w 102 - 92 (ot) | josh smith (25) | josh smith (8) | mike bibby (7) | conseco fieldhouse 11133 | 8 - 4 |\n| 13 | november 20 | dallas | l 93 - 98 (ot) | josh smith (21) | al horford (20) | jamal crawford (7) | philips arena 14143 | 8 - 5 |\n| 14 | november 22 | boston | l 76 - 99 (ot) | mike bibby (11) | jordan crawford (7) | jamal crawford (6) | philips arena 14476 | 8 - 6 |\n| 15 | november 23 | new jersey | l 101 - 107 (ot) | jamal crawford (21) | al horford (10) | joe johnson (8) | prudential center 13010 | 8 - 7 |\n| 16 | november 25 | washington | w 116 - 96 (ot) | joe johnson (21) | josh smith (14) | mike bibby (6) | philips arena 15042 | 9 - 7 |\n| 17 | november 27 | new york | w 99 - 90 (ot) | jamal crawford (21) | joe johnson (10) | joe johnson (7) | madison square garden 19763 | 10 - 7 |" + } + ] + }, + { + "id": "table_recognition_train_item_52312", + "image": "table_instructV/images/TabFact_2-15621965-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| player | nationality | position | years in orlando | school / club team |\n| --- | --- | --- | --- | --- |\n| matt barnes | united states | guard - forward | 2009 - 2010 | ucla |\n| andre barrett | united states | guard | 2005 | seton hall |\n| brandon bass | united states | forward | 2009 - 2011 | louisiana state |\n| tony battie | united states | forward - center | 2004 - 2009 | texas tech |\n| david benoit | united states | forward | 1998 | alabama |\n| keith bogans | united states | guard | 2003 - 2004 | kentucky |\n| keith bogans | united states | guard | 2006 - 2009 | kentucky |\n| anthony bonner | united states | forward | 1995 - 1996 | st louis |\n| anthony bowie | united states | guard | 1991 - 1996 | oklahoma |\n| earl boykins | united states | guard | 1999 | eastern michigan |\n| michael bradley | united states | forward | 2004 - 2005 | villanova |\n| dee brown | united states | guard | 2000 - 2002 | jacksonville |\n| jud buechler | united states | guard - forward | 2001 - 2002 | arizona |\n| pat burke | ireland | center | 2002 - 2003 | auburn |" + } + ] + }, + { + "id": "table_recognition_train_item_51168", + "image": "table_instructV/images/TAT-QA_4565ded8-5e2e-4cd7-beab-6da622434396.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| € millions | 2019 | 2018 | 2017 |\n| --- | --- | --- | --- |\n| Current tax expense | | | |\n| Germany | 625 | 733 | 935 |\n| Foreign | 1,153 | 1,019 | 716 |\n| Total current tax expense | 1,778 | 1,752 | 1,651 |\n| Deferred tax expense/income | | | |\n| Germany | –3 | 57 | –584 |\n| Foreign | –549 | –298 | –84 |\n| Total deferred tax income | –552 | –241 | –668 |\n| Total income tax expense | 1,226 | 1,511 | 983 |" + } + ] + }, + { + "id": "table_recognition_train_item_62772", + "image": "table_instructV/images/TabFact_1-19938261-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| season | timeslot ( edt ) | season premiere | season finale | tv season | rank ( spanish language ) | viewers (in millions) |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2 | monday - friday 9:00 pm | january 16 , 2006 | april 6 , 2006 | 2006 | 1 | 9.4 |\n| 3 | monday - friday 9:00 pm | april 10 , 2006 | september 1 , 2006 | 2006 | 1 | 9.9 |\n| 4 | monday - friday 9:00 pm | september 4 , 2006 | january 6 , 2007 | 2006 - 2007 | 2 | 9.7 |\n| 5 | monday - friday 9:00 pm | january 8 , 2007 | march 28 , 2007 | 2007 | 1 | 10.1 |\n| 6 | monday - friday 9:00 pm | april 2 , 2007 | august 9 , 2007 | 2007 | 3 | 7.9 |\n| 7 | monday - friday 9:00 pm | august 13 , 2007 | december 10 , 2007 | 2007 | 2 | 9.9 |\n| 8 | monday - friday 9:00 pm | december 13 , 2007 | february 15 , 2008 | 2007 - 2008 | 7 | 5.1 |\n| 9 | monday - friday 9:00 pm | february 18 , 2008 | may 30 , 2008 | 2008 | 1 | 10.4 |\n| 10 | monday - friday 10:00 pm | june 2 , 2008 | august 29 , 2008 | 2008 | 1 | 9.4 |" + } + ] + }, + { + "id": "table_recognition_train_item_64196", + "image": "table_instructV/images/TabFact_2-10883333-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| home team | home team score | away team | away team score | venue | crowd | date |\n| --- | --- | --- | --- | --- | --- | --- |\n| geelong | 13.10 (88) | st kilda | 11.14 (80) | kardinia park | 13733 | 17 may 1975 |\n| richmond | 19.18 (132) | melbourne | 10.18 (78) | mcg | 29131 | 17 may 1975 |\n| hawthorn | 19.16 (130) | fitzroy | 13.12 (90) | princes park | 10389 | 17 may 1975 |\n| footscray | 8.12 (60) | essendon | 14.17 (101) | western oval | 26204 | 17 may 1975 |\n| south melbourne | 11.11 (77) | carlton | 19.14 (128) | lake oval | 14142 | 17 may 1975 |\n| collingwood | 12.18 (90) | north melbourne | 12.9 (81) | vfl park | 29354 | 17 may 1975 |" + } + ] + }, + { + "id": "table_recognition_train_item_49958", + "image": "table_instructV/images/TAT-QA_79f0658c-4987-4a23-822f-743af6cc0b5b.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| | At 30 Mar 2019 | | At 31 Mar 2018 | |\n| --- | --- | --- | --- | --- |\n| | Premier schemes | RHM schemes | Premier schemes | RHM schemes |\n| Discount rate | 2.45% | 2.45% | 2.70% | 2.70% |\n| Inflation – RPI | 3.25% | 3.25% | 3.15% | 3.15% |\n| Inflation – CPI | 2.15% | 2.15% | 2.05% | 2.05% |\n| Expected salary increases | n/a | n/a | n/a | n/a |\n| Future pension increases | 2.10% | 2.10% | 2.10% | 2.10% |" + } + ] + }, + { + "id": "table_recognition_train_item_69022", + "image": "table_instructV/images/TabFact_2-17599495-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| game | date | opponent | score | record |\n| --- | --- | --- | --- | --- |\n| 37 | 1 / 2 / 1980 | new york islanders | 1 - 3 | 16 - 17 - 4 |\n| 38 | 1 / 5 / 1980 | quebec nordiques | 3 - 7 | 16 - 18 - 4 |\n| 39 | 1 / 7 / 1980 | pittsburgh penguins | 9 - 5 | 17 - 18 - 4 |\n| 40 | 1 / 9 / 1980 | montreal canadiens | 3 - 5 | 17 - 19 - 4 |\n| 41 | 1 / 12 / 1980 | vancouver canucks | 6 - 4 | 18 - 19 - 4 |\n| 42 | 1 / 16 / 1980 | pittsburgh penguins | 4 - 6 | 18 - 20 - 4 |\n| 43 | 1 / 17 / 1980 | new york islanders | 6 - 9 | 18 - 21 - 4 |\n| 44 | 1 / 19 / 1980 | montreal canadiens | 2 - 7 | 18 - 22 - 4 |\n| 45 | 1 / 22 / 1980 | atlanta flames | 4 - 2 | 19 - 22 - 4 |\n| 46 | 1 / 24 / 1980 | los angeles kings | 4 - 5 | 19 - 23 - 4 |\n| 47 | 1 / 26 / 1980 | edmonton oilers | 3 - 8 | 19 - 24 - 4 |\n| 48 | 1 / 27 / 1980 | vancouver canucks | 5 - 2 | 20 - 24 - 4 |\n| 49 | 1 / 30 / 1980 | detroit red wings | 6 - 4 | 21 - 24 - 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_108172", + "image": "table_instructV/images/ToTTo_train_table_34332.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Season | Bowl | Opponent | Result |\n| --- | --- | --- | --- |\n| 1927 | Rose Bowl | Stanford | L 6–7 |\n| 1929 | Rose Bowl | Southern California | L 14–47 |\n| 1932 | Rose Bowl | Southern California | L 0–35 |\n| 1936 | Rose Bowl | Washington | W 21–0 |\n| 1955 | Sugar Bowl | Georgia Tech | L 0–7 |\n| 1956 | Gator Bowl | Georgia Tech | L 14–21 |\n| 1973 | Fiesta Bowl | Arizona State | L 7–28 |\n| 1975 | Sun Bowl | Kansas | W 33–19 |\n| 1976 | Sugar Bowl | Georgia | W 27–3 |\n| 1977 | Gator Bowl | Clemson | W 34–3 |\n| 1978 | Tangerine Bowl | NC State | L 17–30 |\n| 1979 | Fiesta Bowl | Arizona | W 16–10 |\n| 1980 | Gator Bowl | South Carolina | W 37–9 |\n| 1981 | Sugar Bowl | Georgia | W 24–20 |\n| 1982 | Cotton Bowl Classic | Southern Methodist | L 3–7 |\n| 1983 | Fiesta Bowl | Ohio State | L 23–28 |\n| 1987 | Astro-Bluebonnet Bowl | Texas | L 27–32 |\n| 1989 | John Hancock Bowl | Texas A&M | W 31–28 |\n| 1997 | Liberty Bowl | Southern Miss | L 7–41 |\n| 2000 | Insight.com Bowl | Iowa State | L 29–37 |\n| 2001 | Tangerine Bowl | NC State | W 34–19 |\n| 2002 | Insight Bowl | Oregon State | W 38–13 |\n| 2003 | Continental Tire Bowl | Virginia | L 16–23 |\n| 2004 | Fiesta Bowl | Utah | L 7–35 |\n| 2008 | Sun Bowl | Oregon State | L 0–3 |\n| 2009 | Meineke Car Care Bowl | North Carolina | W 19–17 |\n| 2010 | BBVA Compass Bowl | Kentucky | W 27–10 |\n| 2011 | BBVA Compass Bowl | Southern Methodist | L 6–28 |\n| 2012 | BBVA Compass Bowl | Ole Miss | L 17–38 |\n| 2013 | Little Caesars Pizza Bowl | Bowling Green | W 30–27 |\n| 2014 | Armed Forces Bowl | Houston | L 34–35 |\n| 2015 | Military Bowl | Navy | L 28–44 |\n| 2016 | Pinstripe Bowl | Northwestern | L 24–31 |\n| 2018 | Sun Bowl | Stanford | L 13–14 |" + } + ] + }, + { + "id": "table_recognition_train_item_117243", + "image": "table_instructV/images/Rotowire_train_table_2964.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Cavaliers | Cleveland | 115 | 23 | 32 | 32 | 28 | 34 | 37 | 13 | 56 | 88 | 39 | 32 | 12 | | | | |\n| Suns | Phoenix | 93 | 26 | 24 | 21 | 22 | 25 | 34 | 22 | 47 | 76 | 40 | 14 | 33 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Cavaliers | | | | | | | | | | | | | | | | | | |\n| LeBron James | 31 | 21 | 3 | 9 | 7-8 | 88% | 0-1 | 0% | 7-7 | 100% | 0 | 2 | 0 | 0 | 3 | 2 | F | Cleveland |\n| Kevin Love | 28 | 21 | 11 | 4 | 8-17 | 47% | 3-8 | 38% | 2-2 | 100% | 2 | 1 | 2 | 3 | 8 | 2 | F | Cleveland |\n| JR Smith | 23 | 18 | 3 | 4 | 7-11 | 64% | 4-6 | 67% | 0-0 | 0% | 4 | 1 | 0 | 1 | 2 | 4 | G | Cleveland |\n| Richard Jefferson | 23 | 14 | 0 | 3 | 4-4 | 100% | 2-2 | 100% | 4-5 | 80% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Cleveland |\n| Timofey Mozgov | 16 | 10 | 1 | 1 | 5-7 | 71% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 3 | N/A | Cleveland |\n| Kyrie Irving | 22 | 8 | 4 | 3 | 4-11 | 36% | 0-3 | 0% | 0-0 | 0% | 3 | 3 | 0 | 1 | 3 | 0 | G | Cleveland |\n| Anderson Varejao | 11 | 6 | 3 | 0 | 3-4 | 75% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 2 | 1 | 0 | N/A | Cleveland |\n| Tristan Thompson | 28 | 5 | 5 | 0 | 2-4 | 50% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 1 | 2 | 3 | 1 | C | Cleveland |\n| Iman Shumpert | 27 | 5 | 3 | 3 | 2-4 | 50% | 1-2 | 50% | 0-0 | 0% | 2 | 3 | 0 | 0 | 3 | 0 | N/A | Cleveland |\n| Mo Williams | 6 | 4 | 1 | 0 | 2-5 | 40% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Cleveland |\n| Matthew Dellavedova | 19 | 3 | 3 | 7 | 1-6 | 17% | 1-5 | 20% | 0-0 | 0% | 0 | 1 | 0 | 1 | 2 | 3 | N/A | Cleveland |\n| Jared Cunningham | 5 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Cleveland |\n| James Jones | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Suns | | | | | | | | | | | | | | | | | | |\n| Devin Booker | 34 | 16 | 3 | 5 | 4-9 | 44% | 1-4 | 25% | 7-8 | 88% | 0 | 2 | 0 | 2 | 1 | 4 | G | Phoenix |\n| PJ Tucker | 35 | 13 | 7 | 2 | 4-8 | 50% | 3-5 | 60% | 2-2 | 100% | 1 | 1 | 0 | 4 | 3 | 4 | F | Phoenix |\n| Markieff Morris | 26 | 13 | 5 | 3 | 5-11 | 46% | 1-2 | 50% | 2-2 | 100% | 1 | 4 | 1 | 0 | 5 | 0 | N/A | Phoenix |\n| Archie Goodwin | 30 | 12 | 2 | 5 | 3-10 | 30% | 1-5 | 20% | 5-6 | 83% | 2 | 5 | 0 | 0 | 2 | 1 | G | Phoenix |\n| TJ Warren | 26 | 11 | 3 | 2 | 5-8 | 63% | 0-0 | 0% | 1-2 | 50% | 1 | 0 | 0 | 0 | 3 | 3 | N/A | Phoenix |\n| Sonny Weems | 21 | 10 | 2 | 1 | 4-6 | 67% | 2-3 | 67% | 0-0 | 0% | 1 | 4 | 0 | 0 | 2 | 1 | N/A | Phoenix |\n| Tyson Chandler | 34 | 6 | 7 | 3 | 3-5 | 60% | 0-0 | 0% | 0-3 | 0% | 0 | 4 | 1 | 4 | 3 | 2 | C | Phoenix |\n| Cory Jefferson | 5 | 6 | 1 | 0 | 2-2 | 100% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | Phoenix |\n| Alex Len | 27 | 4 | 4 | 4 | 2-9 | 22% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 3 | 2 | F | Phoenix |\n| Lorenzo Brown | 2 | 2 | 0 | 0 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Phoenix |\n| Ronnie Price | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Jon Leuer | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Mirza Teletovic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |" + } + ] + }, + { + "id": "table_recognition_train_item_61638", + "image": "table_instructV/images/TabFact_2-1238577-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| year | office | candidate | popular votes | percentage |\n| --- | --- | --- | --- | --- |\n| 1988 | us senator | derrick grimmer | 9016 | 0.43% |\n| 1988 | us representative 5 | chris wright | 6468 | 2.68% |\n| 1990 | us senator | russell bentley | 29820 | 1.65% |\n| 1992 | us representative 3 | dwight fellman | 9164 | 2.91% |\n| 1992 | us representative 4 | dan r vacek | 4418 | 1.59% |\n| 1992 | us representative 5 | russell bentley | 6786 | 2.24% |\n| 1994 | us senator | candice sjostrom | 15920 | 0.90% |\n| 1994 | us representative 4 | dan r vacek | 6211 | 2.94% |\n| 1996 | us senator | tim davis | 14139 | 0.65% |\n| 1996 | us representative 4 | phil willkie | 3615 | 1.41% |\n| 1996 | us representative 5 | erica anderson | 13102 | 5.33% |\n| 2000 | us senator | david daniels | 21447 | 0.89% |\n| 2012 | us senator | tim davis | 30532 | 1.07% |" + } + ] + }, + { + "id": "table_recognition_train_item_34107", + "image": "table_instructV/images/TABMWP_36031.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $700 | 20,100 | 20,900 |\n| $860 | 15,400 | 21,000 |\n| $1,020 | 10,700 | 21,100 |\n| $1,180 | 6,000 | 21,200 |\n| $1,340 | 1,300 | 21,300 |" + } + ] + }, + { + "id": "table_recognition_train_item_48700", + "image": "table_instructV/images/TAT-QA_b06d61e6-526f-48b4-8848-545a09042c36.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | December 31, | |\n| --- | --- | --- |\n| | (in thousands) | |\n| | 2019 | 2018 |\n| Finished Goods | $8,320 | $12,472 |\n| Work in process | — | 67 |\n| Component parts | 6,768 | 4,716 |\n| Service parts | 4,238 | 5,482 |\n| | $19,326 | $22,737 |" + } + ] + }, + { + "id": "table_recognition_train_item_57534", + "image": "table_instructV/images/TabFact_2-17360908-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| region | date | label | format | catalog |\n| --- | --- | --- | --- | --- |\n| netherlands | november 16 , 2001 | magik muzik | 12 , vinyl | bhmm 804 - 4 |\n| netherlands | november 16 , 2001 | magik muzik | 2 x 12 , vinyl | magik muzik 802 - 5 |\n| netherlands | november 16 , 2001 | magik muzik | cd , maxi | magik muzik 802 - 2 |\n| netherlands | november 16 , 2001 | magik muzik | cd , single | magik muzik 802 - 1 |\n| netherlands | november 16 , 2001 | magik muzik | 12 , vinyl | magik muzik 803 - 5 |\n| scandinavia | 2001 | playground music scandinavia | cd , maxi | magik muzik 802 - 2 |\n| sweden | 2002 | playground music scandinavia | cdr | none |\n| united states | november 6 , 2001 | nettwerk america | cd , maxi | 0 6700 33140 2 2 |\n| united states | november 6 , 2001 | nettwerk america | 12 , vinyl | 0 6700 33140 1 5 |\n| germany | december , 2001 | jive | cd , maxi | rtd 103.9865.3 |\n| germany | january 21 , 2002 | jive | cd , maxi | rtd 103.3865.3 |\n| germany | november , 2001 | dos or die recordings | 12 , vinyl | dos 199 |\n| germany | 2001 | dos or die recordings | 12 , vinyl | dos 195 |\n| germany | 2002 | dos or die recordings | 12 , vinyl | dos 185 |\n| united kingdom | september 17 , 2001 | vc recordings | cd , maxi | vcrd 95 |\n| united kingdom | september 17 , 2001 | vc recordings | cdr , single , promo | none |\n| united kingdom | september 17 , 2001 | vc recordings | 12 , vinyl | vcrt 095 |\n| united kingdom | september 17 , 2001 | vc recordings | cd , single , promo | vcrddj 95 |\n| united kingdom | september 17 , 2001 | vc recordings | 12 , vinyl | vcrtx 095 |\n| united kingdom | september 10 , 2001 | vc recordings | 12 , vinyl , promo | vcrtxdj 095 |\n| united kingdom | september 17 , 2001 | nebula | cdr , single , promo | none |\n| united kingdom | september 17 , 2001 | nebula | 12 , vinyl , promo , single sided | nebdj020 |\n| united kingdom | 2004 | nebula classics | 12 , vinyl | neb020 |\n| united kingdom | 2004 | nebula classics | 12 , vinyl | nebdj020 |\n| united kingdom | september 17 , 2001 | virgin | cd , maxi | 7243 8 97955 2 3 |\n| france | 2003 | independence records | 12 , vinyl | ir 0302 |\n| france | january , 2005 | independence records | 12 , vinyl , picture disc | ir 0434 v |\n| france | january , 2005 | universal licensing music (ulm) | 12 , vinyl , picture disc | 982 695 - 8 |" + } + ] + }, + { + "id": "table_recognition_train_item_112361", + "image": "table_instructV/images/Rotowire_train_table_523.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Warriors | Golden State | 111 | 30 | 24 | 35 | 22 | 32 | 48 | 8 | 49 | 60 | 34 | 16 | 0 | | | | |\n| Lakers | Los Angeles | 77 | 11 | 27 | 17 | 22 | 16 | 45 | 14 | 37 | 75 | 14 | 2 | 12 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 30 | 24 | 4 | 9 | 10-21 | 48% | 4-12 | 33% | 0-0 | 0% | 2 | 0 | 0 | 0 | 4 | 1 | G | Golden State |\n| Draymond Green | 30 | 18 | 7 | 5 | 7-11 | 64% | 2-5 | 40% | 2-2 | 100% | 1 | 2 | 2 | 2 | 5 | 0 | F | Golden State |\n| Leandro Barbosa | 17 | 13 | 1 | 1 | 6-9 | 67% | 1-3 | 33% | 0-0 | 0% | 3 | 0 | 0 | 0 | 1 | 0 | N/A | Golden State |\n| Klay Thompson | 28 | 11 | 3 | 2 | 3-12 | 25% | 2-6 | 33% | 3-4 | 75% | 0 | 1 | 1 | 0 | 3 | 0 | G | Golden State |\n| Festus Ezeli | 16 | 9 | 7 | 1 | 4-5 | 80% | 0-0 | 0% | 1-5 | 20% | 0 | 0 | 0 | 2 | 5 | 3 | N/A | Golden State |\n| Harrison Barnes | 23 | 8 | 2 | 1 | 2-5 | 40% | 2-4 | 50% | 2-2 | 100% | 0 | 1 | 0 | 2 | 0 | 1 | F | Golden State |\n| Andrew Bogut | 21 | 8 | 7 | 2 | 4-7 | 57% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 2 | 1 | 6 | 2 | C | Golden State |\n| Shaun Livingston | 15 | 6 | 1 | 3 | 3-4 | 75% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 0 | 2 | N/A | Golden State |\n| Andre Iguodala | 22 | 6 | 9 | 4 | 3-4 | 75% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 8 | 0 | N/A | Golden State |\n| Brandon Rush | 8 | 3 | 1 | 0 | 1-2 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Golden State |\n| Jason Thompson | 12 | 3 | 2 | 3 | 1-4 | 25% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 1 | 2 | 0 | 2 | N/A | Golden State |\n| Marreese Speights | 12 | 2 | 2 | 0 | 1-5 | 20% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 2 | N/A | Golden State |\n| Ian Clark | 6 | 0 | 2 | 1 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 2 | 0 | 0 | 1 | 1 | 0 | N/A | Golden State |\n| Lakers | | | | | | | | | | | | | | | | | | |\n| Julius Randle | 24 | 10 | 6 | 0 | 3-6 | 50% | 0-0 | 0% | 4-4 | 100% | 1 | 0 | 1 | 0 | 6 | 0 | F | Los Angeles |\n| Lou Williams | 23 | 10 | 1 | 0 | 4-5 | 80% | 0-0 | 0% | 2-4 | 50% | 0 | 2 | 0 | 0 | 1 | 4 | N/A | Los Angeles |\n| Larry Nance Jr. | 18 | 10 | 2 | 2 | 4-7 | 57% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 2 | 0 | 1 | N/A | Los Angeles |\n| D'Angelo Russell | 26 | 8 | 5 | 2 | 4-9 | 44% | 0-3 | 0% | 0-0 | 0% | 2 | 1 | 0 | 0 | 5 | 1 | G | Los Angeles |\n| Marcelo Huertas | 12 | 7 | 1 | 2 | 3-5 | 60% | 1-2 | 50% | 0-0 | 0% | 0 | 3 | 0 | 0 | 1 | 1 | N/A | Los Angeles |\n| Nick Young | 23 | 7 | 1 | 1 | 3-10 | 30% | 1-6 | 17% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Los Angeles |\n| Brandon Bass | 13 | 6 | 5 | 0 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 4 | 1 | N/A | Los Angeles |\n| Tarik Black | 12 | 6 | 6 | 0 | 3-6 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 6 | 3 | N/A | Los Angeles |\n| Kobe Bryant | 25 | 4 | 6 | 2 | 1-14 | 7% | 1-7 | 14% | 1-2 | 50% | 2 | 3 | 0 | 0 | 6 | 0 | F | Los Angeles |\n| Jordan Clarkson | 27 | 4 | 2 | 2 | 2-11 | 18% | 0-3 | 0% | 0-0 | 0% | 0 | 2 | 0 | 2 | 0 | 1 | G | Los Angeles |\n| Ryan Kelly | 6 | 3 | 2 | 1 | 1-1 | 100% | 0-0 | 0% | 1-2 | 50% | 1 | 1 | 0 | 0 | 2 | 0 | N/A | Los Angeles |\n| Roy Hibbert | 23 | 2 | 6 | 1 | 0-3 | 0% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 1 | 2 | 4 | 2 | C | Los Angeles |\n| Metta World Peace | 9 | 0 | 2 | 3 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 1 | 1 | 0 | N/A | Los Angeles |" + } + ] + }, + { + "id": "table_recognition_train_item_31789", + "image": "table_instructV/images/TABMWP_11158.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Number of plants | Number of tomatoes |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_31252", + "image": "table_instructV/images/TABMWP_5702.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $725 | 22,300 | 19,600 |\n| $755 | 20,400 | 20,300 |\n| $785 | 18,500 | 21,000 |\n| $815 | 16,600 | 21,700 |\n| $845 | 14,700 | 22,400 |" + } + ] + }, + { + "id": "table_recognition_train_item_57116", + "image": "table_instructV/images/TabFact_2-15887683-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| television service | country | language | content | hdtv | package / option |\n| --- | --- | --- | --- | --- | --- |\n| vetrina primafila | italy | italian | presentazione | no | qualsiasi |\n| sky primafila 1 hd | italy | italian | primafila film | yes | qualsiasi + sky hd |\n| sky primafila 2 | italy | italian | primafila film | no | qualsiasi |\n| sky primafila 3 hd | italy | italian | primafila film | yes | qualsiasi + sky hd |\n| sky primafila 4 | italy | italian | primafila film | no | qualsiasi |\n| sky primafila 5 hd | italy | italian | primafila film | yes | qualsiasi + sky hd |\n| sky primafila 6 | italy | italian | primafila film | no | qualsiasi |\n| sky primafila 7 hd | italy | italian | primafila film / primafila hot club | yes | qualsiasi + sky hd |\n| sky primafila 8 | italy | italian | primafila film / primafila hot club | no | qualsiasi |\n| sky primafila 9 hd | italy | italian | primafila film / primafila hot club | yes | qualsiasi + sky hd |\n| sky primafila 10 | italy | italian | primafila film / primafila hot club | no | qualsiasi |\n| sky primafila 11 hd | italy | italian | primafila film / primafila hot club | yes | qualsiasi + sky hd |\n| sky primafila 12 | italy | italian | primafila film / primafila hot club | no | qualsiasi |\n| sky primafila 13 hd | italy | italian | primafila film / primafila hot club | yes | qualsiasi + sky hd |\n| sky primafila 14 | italy | italian | primafila film / primafila hot club | no | qualsiasi |\n| sky primafila 15 | italy | italian | primafila film / primafila hot club | no | qualsiasi |\n| sky primafila 16 | italy | italian | primafila film / primafila hot club | no | qualsiasi |\n| sky primafila 17 | italy | italian | primafila film / primafila hot club | no | qualsiasi |\n| sky primafila 18 | italy | italian | primafila film / primafila hot club | no | qualsiasi |\n| sky primafila 19 | italy | italian | primafila film / primafila hot club | no | qualsiasi |\n| sky primafila 20 hd | italy | italian | penthouse tv | yes | qualsiasi + sky hd |\n| sky primafila 21 | italy | italian | primafila hot club | no | qualsiasi |\n| sky primafila 22 | italy | italian | primafila hot club | no | qualsiasi |\n| sky primafila 23 | italy | italian | primafila hot club | no | qualsiasi |\n| sky primafila 24 | italy | italian | primafila hot club | no | qualsiasi |\n| sky primafila 25 | italy | italian | primafila hot club | no | qualsiasi |\n| sky primafila 26 | italy | italian | primafila hot club | no | qualsiasi |\n| sky primafila 27 | italy | italian | primafila hot club | no | qualsiasi |\n| sky primafila 28 | italy | italian | man - x | no | qualsiasi |\n| vetrina primafila | italy | italian | presentazione | no | qualsiasi |" + } + ] + }, + { + "id": "table_recognition_train_item_105098", + "image": "table_instructV/images/ToTTo_train_table_21399.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| No. | Faculty | Male | Female | Total |\n| --- | --- | --- | --- | --- |\n| 1 | Agriculture | 651 | 150 | 801 |\n| 2 | Applied Science | 470 | 297 | 767 |\n| 3 | Badqis Agriculture | 232 | 6 | 238 |\n| 4 | Badqis Education | 92 | 48 | 140 |\n| 5 | Computer Science | 307 | 90 | 397 |\n| 6 | Economics | 716 | 156 | 872 |\n| 7 | Education (Pedagogy) | 1278 | 1232 | 2510 |\n| 8 | Engineering | 616 | 65 | 681 |\n| 9 | Fine & Arts | 100 | 122 | 222 |\n| 10 | Islamic Studies (Theology) | 536 | 208 | 744 |\n| 11 | Journalism | 202 | 60 | 262 |\n| 12 | Law & Political Science | 437 | 215 | 652 |\n| 13 | Literature & Humanities | 379 | 416 | 795 |\n| 14 | Medicine | 423 | 342 | 765 |\n| 15 | Public Administration | 342 | 119 | 461 |\n| 16 | Veterinary | 106 | 16 | 122 |\n| | Total | 6887 | 3542 | 10429 |" + } + ] + }, + { + "id": "table_recognition_train_item_106147", + "image": "table_instructV/images/ToTTo_train_table_25840.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Rank | Name | Nepali | District | Province | Population (2011) | Area | Website |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | Janakpur | जनकपुरधाम | Dhanusha | Province No. 2 | 159,468 | 91.97 | [7] |\n| 2 | Ghorahi | घोराही | Dang | Province No. 5 | 156,164 | 522.21 | [8] |\n| 3 | Hetauda | हेटौडा | Makawanpur | Province No. 3 | 152,875 | 261.59 | [9] |\n| 4 | Dhangadhi | धनगढी | Kailali | Sudurpashchim | 147,741 | 261.75 | [10] |\n| 5 | Tulsipur | तुल्सिपुर | Dang | Province No. 5 | 141,528 | 384.63 | [11] |\n| 6 | Itahari | ईटहरी | Sunsari | Province No. 1 | 140,517 | 93.78 | [12] |\n| 7 | Nepalgunj | नेपालगंज | Banke | Province No. 5 | 138,951 | 85.94 | [13] |\n| 8 | Butwal | बुटवल | Rupandehi | Province No. 5 | 138,741 | 101.61 | [14] |\n| 9 | Dharan | धरान | Sunsari | Province No. 1 | 137,705 | 192.32 | [15] |\n| 10 | Kalaiya | कलैया | Bara | Province No. 2 | 123,659 | 108.94 | [16] |\n| 11 | Jitpur Simara | जीतपुरसिमरा | Bara | Province No. 2 | 117,496 | 312.18 | [17] |" + } + ] + }, + { + "id": "table_recognition_train_item_34257", + "image": "table_instructV/images/TABMWP_37605.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $330 | 17,600 | 14,800 |\n| $510 | 16,700 | 15,700 |\n| $690 | 15,800 | 16,600 |\n| $870 | 14,900 | 17,500 |\n| $1,050 | 14,000 | 18,400 |" + } + ] + }, + { + "id": "table_recognition_train_item_115175", + "image": "table_instructV/images/Rotowire_train_table_1930.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Raptors | Toronto | 100 | 25 | 25 | 29 | 21 | 19 | 55 | 12 | 47 | 94 | 36 | 39 | 28 | | | | |\n| Mavericks | Dallas | 78 | 26 | 20 | 20 | 12 | 21 | 34 | 7 | 37 | 69 | 28 | 28 | 38 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| DeMar DeRozan | 32 | 25 | 6 | 2 | 10-17 | 59% | 1-2 | 50% | 4-4 | 100% | 2 | 2 | 0 | 1 | 5 | 0 | G | Toronto |\n| Norman Powell | 31 | 19 | 5 | 3 | 6-8 | 75% | 2-4 | 50% | 5-5 | 100% | 0 | 0 | 0 | 0 | 5 | 2 | F | Toronto |\n| Jonas Valanciunas | 23 | 14 | 12 | 2 | 5-11 | 46% | 0-0 | 0% | 4-5 | 80% | 0 | 1 | 1 | 3 | 9 | 1 | C | Toronto |\n| Patrick Patterson | 21 | 11 | 7 | 1 | 4-6 | 67% | 3-5 | 60% | 0-0 | 0% | 0 | 0 | 0 | 1 | 6 | 2 | N/A | Toronto |\n| Delon Wright | 20 | 11 | 4 | 3 | 4-8 | 50% | 1-3 | 33% | 2-2 | 100% | 1 | 0 | 1 | 0 | 4 | 1 | N/A | Toronto |\n| Cory Joseph | 26 | 9 | 1 | 4 | 4-10 | 40% | 1-4 | 25% | 0-0 | 0% | 0 | 1 | 0 | 1 | 0 | 0 | G | Toronto |\n| Fred VanVleet | 22 | 5 | 2 | 2 | 2-6 | 33% | 1-1 | 100% | 0-0 | 0% | 1 | 2 | 0 | 0 | 2 | 4 | N/A | Toronto |\n| Jakob Poeltl | 12 | 4 | 2 | 1 | 1-1 | 100% | 0-0 | 0% | 2-2 | 100% | 2 | 3 | 1 | 0 | 2 | 3 | N/A | Toronto |\n| PJ Tucker | 13 | 2 | 4 | 1 | 1-6 | 17% | 0-3 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 4 | 0 | N/A | Toronto |\n| Pascal Siakam | 3 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 0 | 0 | N/A | Toronto |\n| Lucas Nogueira | 4 | 0 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 2 | 1 | N/A | Toronto |\n| Serge Ibaka | 32 | 0 | 9 | 0 | 0-4 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 2 | 2 | 2 | 7 | 2 | F | Toronto |\n| DeMarre Carroll | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Mavericks | | | | | | | | | | | | | | | | | | |\n| Harrison Barnes | 36 | 18 | 2 | 1 | 7-16 | 44% | 1-2 | 50% | 3-3 | 100% | 0 | 0 | 2 | 1 | 1 | 3 | F | Dallas |\n| Dirk Nowitzki | 29 | 17 | 7 | 2 | 7-16 | 44% | 3-5 | 60% | 0-0 | 0% | 1 | 0 | 1 | 0 | 7 | 3 | C | Dallas |\n| Dwight Powell | 21 | 10 | 10 | 0 | 4-9 | 44% | 0-0 | 0% | 2-3 | 67% | 0 | 1 | 1 | 3 | 7 | 2 | N/A | Dallas |\n| Dorian Finney-Smith | 18 | 8 | 0 | 0 | 3-4 | 75% | 2-2 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Dallas |\n| Devin Harris | 13 | 6 | 2 | 1 | 3-6 | 50% | 0-0 | 0% | 0-1 | 0% | 0 | 2 | 0 | 0 | 2 | 0 | N/A | Dallas |\n| Seth Curry | 32 | 5 | 3 | 0 | 2-8 | 25% | 1-4 | 25% | 0-0 | 0% | 2 | 1 | 0 | 0 | 3 | 1 | G | Dallas |\n| Yogi Ferrell | 31 | 5 | 3 | 6 | 1-7 | 14% | 0-4 | 0% | 3-4 | 75% | 1 | 1 | 0 | 0 | 3 | 2 | G | Dallas |\n| Wesley Matthews | 18 | 2 | 1 | 4 | 1-5 | 20% | 0-3 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 1 | F | Dallas |\n| Salah Mejri | 7 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 2 | N/A | Dallas |\n| J.J. Barea | 17 | 2 | 2 | 7 | 1-6 | 17% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Dallas |\n| Nicolas Brussino | 12 | 2 | 0 | 0 | 1-5 | 20% | 0-4 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 0 | 3 | N/A | Dallas |\n| Manny Harris | 3 | 1 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | Dallas |\n| Jarrod Uthoff | 3 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 0 | 0 | N/A | Dallas |" + } + ] + }, + { + "id": "table_recognition_train_item_58318", + "image": "table_instructV/images/TabFact_2-16352332-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| round | pick | player | position | college |\n| --- | --- | --- | --- | --- |\n| 1 | 4 | mike williams | tackle | texas |\n| 2 | 36 | josh reed | wide receiver | lsu |\n| 2 | 61 | ryan denney | defensive end | byu |\n| 3 | 97 | coy wire | safety | stanford |\n| 5 | 139 | justin bannan | defensive tackle | colorado |\n| 6 | 176 | kevin thomas | cornerback | unlv |\n| 7 | 215 | mike pucillo | center | auburn |\n| 7 | 249 | rodney wright | wide receiver | fresno state |\n| 7 | 251 | jarrett ferguson | running back | virginia tech |\n| 7 | 260 | dominique stevenson | linebacker | tennessee |" + } + ] + }, + { + "id": "table_recognition_train_item_34413", + "image": "table_instructV/images/TABMWP_2150.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of apartments | Number of lamps |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_35447", + "image": "table_instructV/images/TABMWP_33951.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Destination | Elevation (ft.) |\n| --- | --- |\n| Underground lake | -350 |\n| Mountain peak | 325 |" + } + ] + }, + { + "id": "table_recognition_train_item_67978", + "image": "table_instructV/images/TabFact_2-11786147-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| date | visitor | score | home | decision | attendance | record |\n| --- | --- | --- | --- | --- | --- | --- |\n| february 1 | colorado | 0 - 2 | detroit | budaj | 20066 | 27 - 21 - 4 |\n| february 2 | colorado | 6 - 4 | st louis | budaj | 19150 | 28 - 21 - 4 |\n| february 4 | phoenix | 4 - 3 | colorado | budaj | 14381 | 28 - 21 - 5 |\n| february 6 | colorado | 3 - 1 | san jose | theodore | 17087 | 29 - 21 - 5 |\n| february 9 | colorado | 6 - 2 | vancouver | theodore | 18630 | 30 - 21 - 5 |\n| february 12 | anaheim | 2 - 1 | colorado | theodore | 16257 | 30 - 22 - 5 |\n| february 14 | st louis | 4 - 1 | colorado | theodore | 17131 | 30 - 23 - 5 |\n| february 17 | colorado | 1 - 2 | chicago | theodore | 21715 | 30 - 24 - 5 |\n| february 18 | detroit | 4 - 0 | colorado | theodore | 18007 | 30 - 25 - 5 |\n| february 20 | colorado | 2 - 3 | anaheim | budaj | 17174 | 30 - 25 - 6 |\n| february 22 | colorado | 3 - 2 | phoenix | theodore | 15882 | 31 - 25 - 6 |\n| february 24 | colorado | 2 - 3 | edmonton | theodore | 16839 | 31 - 26 - 6 |\n| february 26 | colorado | 3 - 2 | calgary | theodore | 19289 | 32 - 26 - 6 |\n| february 27 | colorado | 3 - 2 | vancouver | theodore | 18630 | 33 - 26 - 6 |" + } + ] + }, + { + "id": "table_recognition_train_item_108301", + "image": "table_instructV/images/ToTTo_train_table_34925.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Fiscal year | Daily average |\n| --- | --- |\n| 2004 | 1,905 |\n| 2005 | 1,996 |\n| 2006 | 2,139 |\n| 2007 | 2,422 |\n| 2008 | 2,606 |" + } + ] + }, + { + "id": "table_recognition_train_item_116445", + "image": "table_instructV/images/Rotowire_train_table_2565.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pacers | Indiana | 90 | 14 | 21 | 30 | 25 | 11 | 38 | 18 | 43 | 64 | 33 | 1 | 6 | | | | |\n| Wizards | Washington | 97 | 32 | 22 | 19 | 24 | 23 | 49 | 14 | 48 | 74 | 18 | 5 | 2 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| Solomon Hill | 43 | 28 | 6 | 1 | 10-19 | 53% | 1-3 | 33% | 7-11 | 64% | 3 | 3 | 0 | 2 | 4 | 2 | G | Indiana |\n| Chris Copeland | 38 | 14 | 4 | 0 | 6-19 | 32% | 1-10 | 10% | 1-4 | 25% | 1 | 3 | 0 | 0 | 4 | 3 | F | Indiana |\n| Donald Sloan | 31 | 13 | 4 | 1 | 4-10 | 40% | 3-5 | 60% | 2-2 | 100% | 0 | 2 | 0 | 0 | 4 | 2 | G | Indiana |\n| A.J. Price | 18 | 9 | 2 | 4 | 4-8 | 50% | 0-1 | 0% | 1-2 | 50% | 0 | 2 | 0 | 0 | 2 | 1 | N/A | Indiana |\n| Damjan Rudez | 26 | 9 | 0 | 0 | 3-4 | 75% | 3-4 | 75% | 0-0 | 0% | 0 | 1 | 1 | 0 | 0 | 2 | N/A | Indiana |\n| Luis Scola | 28 | 5 | 8 | 0 | 1-4 | 25% | 0-0 | 0% | 3-4 | 75% | 0 | 4 | 0 | 1 | 7 | 2 | F | Indiana |\n| Roy Hibbert | 11 | 4 | 3 | 0 | 1-4 | 25% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 1 | 2 | 1 | 1 | C | Indiana |\n| Lavoy Allen | 12 | 4 | 3 | 1 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 2 | 1 | 5 | N/A | Indiana |\n| Ian Mahinmi | 26 | 2 | 5 | 2 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 0 | 5 | 4 | N/A | Indiana |\n| Shayne Whittington | 8 | 2 | 3 | 2 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 2 | N/A | Indiana |\n| Rodney Stuckey | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| David West | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| CJ Miles | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| John Wall | 35 | 18 | 3 | 4 | 7-13 | 54% | 0-0 | 0% | 4-6 | 67% | 4 | 4 | 0 | 0 | 3 | 2 | G | Washington |\n| Nene | 31 | 17 | 7 | 5 | 8-16 | 50% | 0-0 | 0% | 1-1 | 100% | 1 | 5 | 1 | 3 | 4 | 5 | F | Washington |\n| Kevin Seraphin | 20 | 13 | 6 | 0 | 6-8 | 75% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 1 | 1 | 5 | 5 | N/A | Washington |\n| Paul Pierce | 28 | 12 | 5 | 3 | 2-13 | 15% | 0-5 | 0% | 8-10 | 80% | 0 | 0 | 0 | 1 | 4 | 1 | F | Washington |\n| Marcin Gortat | 26 | 12 | 7 | 0 | 6-8 | 75% | 0-0 | 0% | 0-0 | 0% | 2 | 0 | 0 | 3 | 4 | 4 | C | Washington |\n| Rasual Butler | 18 | 9 | 3 | 2 | 4-7 | 57% | 1-3 | 33% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 1 | N/A | Washington |\n| Kris Humphries | 19 | 7 | 9 | 3 | 3-5 | 60% | 0-0 | 0% | 1-2 | 50% | 1 | 0 | 1 | 3 | 6 | 1 | N/A | Washington |\n| Otto Porter | 20 | 4 | 0 | 0 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 0 | N/A | Washington |\n| Garrett Temple | 31 | 3 | 6 | 2 | 1-4 | 25% | 1-3 | 33% | 0-0 | 0% | 0 | 1 | 1 | 1 | 5 | 4 | G | Washington |\n| Andre Miller | 13 | 2 | 3 | 4 | 0-3 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 1 | 2 | 2 | N/A | Washington |\n| Drew Gooden | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| DeJuan Blair | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Glen Rice | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |" + } + ] + }, + { + "id": "table_recognition_train_item_52252", + "image": "table_instructV/images/TabFact_1-29842201-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| subject | no sat | no passed | % pass | highest mark | lowest mark | mean |\n| --- | --- | --- | --- | --- | --- | --- |\n| english | 55 | 46 | 84 | 100 | 37 | 59 |\n| mathematics | 55 | 39 | 71 | 83 | 36 | 58 |\n| biology | 17 | 17 | 100 | 85 | 54 | 72 |\n| chemistry | 20 | 16 | 80 | 84 | 43 | 64 |\n| physics | 10 | 8 | 80 | 79 | 47 | 63 |\n| accounting | 35 | 27 | 77 | 75 | 31 | 58 |\n| economics | 35 | 33 | 94 | 88 | 33 | 63 |\n| computer studies | 25 | 19 | 76 | 78 | 35 | 56 |\n| geography | 8 | 7 | 88 | 76 | 45 | 64 |\n| introduction to technology | 3 | 3 | 100 | 69 | 50 | 61 |\n| food technology | 9 | 9 | 100 | 80 | 50 | 64 |" + } + ] + }, + { + "id": "table_recognition_train_item_65046", + "image": "table_instructV/images/TabFact_1-19517448-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| rank | rating | completion percentage | touchdown percentage | yards per attempt | total yards |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 158.3 | 83.3% | 21.9% | 18.6 | 554 |\n| player | ken o'brien : 1986 nick foles : 2013 | philip rivers : week 4 , 2013 | sid luckman : 1943 | sammy baugh : 1948 | norm van brocklin : 1951 |\n| 2 | 157.6 | 81.8% | 21.9% | 17.8 | 527 |\n| player | phil simms : 1984 | jeff garcia : 2000 | george blanda : week 11 , 1961 | joe namath : 1972 | warren moon : 1990 |\n| 3 | 152.8 | 81.8% | 21.4% | 15.6 | 527 |\n| player | sammy baugh : 1948 | peyton manning : 2005 | joe namath : 1972 | steve mcnair : 2003 | matt schaub : 2012 |\n| 4 | 151.4 | 81.8% | 20.7% | 15.0 | 522 |\n| player | y a tittle : 1962 | ken o'brien : 1986 | tom flores : 1963 | james harris : 1976 | boomer esiason : 1996 |\n| 5 | 149.2 | 81.3% | 19.4% | 14.52 | 521 |\n| player | drew brees : week 16 , 2011 | steve young : 1993 | mark rypien : 1991 | peyton manning : 2001 | dan marino : 1988 |\n| 6 | 147.8 | 81.3% | 18.0% | 14.50 | 520 |\n| player | donovan mcnabb : 2004 | drew brees : week 3 , 2008 | y a tittle : 1962 | george blanda : week 8 , 1961 | matthew stafford : week 17 , 2011 |\n| 7 | 146.8 | 80.4% | 16.7% | 14.4 | 517 |\n| player | steve mcnair : 2003 | neil lomax : 1984 | sammy baugh : 1948 | steve young : 1993 | tom brady : week 1 , 2011 |\n| 8 | 145.8 | 80.0% | 16.7% | 14.3 | 513 |\n| player | randall cunningham : 1998 | drew brees : week 16 , 2011 | boomer esiason : 1986 | mark rypien : 1991 | phil simms : 1985 |\n| 9 | 145.7 | 79.3% | 16.3% | 14.2 | 510 |\n| player | peyton manning : 2005 | peyton manning : 2001 | joe kapp : 1969 | boomer esiason : 1986 | drew brees : 2006 |\n| 10 | 145.3 | 78.1% | 16.1% | 14.06 | 510 |" + } + ] + }, + { + "id": "table_recognition_train_item_56124", + "image": "table_instructV/images/TabFact_2-1592604-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| year | division | league | regular season | playoffs | open canada cup |\n| --- | --- | --- | --- | --- | --- |\n| 2000 | 4 | usl pdl | 6th , heartland | did not qualify | did not participate |\n| 2001 | 4 | usl pdl | 4th , heartland | did not qualify | did not participate |\n| 2002 | 4 | usl pdl | 6th , heartland | did not qualify | did not participate |\n| 2003 | 4 | usl pdl | 4th , heartland | did not qualify | did not participate |\n| 2004 | 4 | usl pdl | 4th , heartland | did not qualify | did not participate |\n| 2005 | 4 | usl pdl | 4th , heartland | did not qualify | did not participate |\n| 2006 | 4 | usl pdl | 7th , heartland | did not qualify | did not participate |\n| 2007 | 4 | usl pdl | 1st , heartland | conference semi - finals | did not participate |\n| 2008 | 4 | usl pdl | 1st , heartland | champions | n / a |\n| 2009 | 4 | usl pdl | 2nd , heartland | divisional semi - finals | n / a |\n| 2010 | 4 | usl pdl | 1st , heartland | national final | n / a |\n| 2011 | 4 | usl pdl | 1st , heartland | national semi - finals | n / a |\n| 2012 | 4 | usl pdl | 1st , heartland | conference semi - finals | n / a |\n| 2013 | 4 | usl pdl | 1st , heartland | national final | n / a |" + } + ] + }, + { + "id": "table_recognition_train_item_62924", + "image": "table_instructV/images/TabFact_2-10652150-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | august 9 , 1968 | los angeles rams | l 23 - 21 | 64020 |\n| 2 | august 18 , 1968 | san francisco 49ers | w 31 - 17 | 26801 |\n| 3 | august 24 , 1968 | new orleans saints | l 40 - 27 | 70045 |\n| 4 | august 30 , 1968 | buffalo bills | w 22 - 12 | 45448 |\n| 5 | september 7 , 1968 | green bay packers | l 31 - 9 | 84918 |" + } + ] + }, + { + "id": "table_recognition_train_item_54080", + "image": "table_instructV/images/TabFact_2-17937080-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| rank | name | season | club | goals | apps | goals per match |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | lionel messi | 2011 / 12 | barcelona | 50 | 37 | 1.351 |\n| 2 | lionel messi | 2012 / 13 | barcelona | 46 | 31 | 1.484 |\n| 2 | cristiano ronaldo | 2011 / 12 | real madrid | 46 | 38 | 1.211 |\n| 4 | cristiano ronaldo | 2010 / 11 | real madrid | 40 | 34 | 1.177 |\n| 5 | telmo zarra | 1950 / 51 | athletic bilbao | 38 | 30 | 1.267 |\n| 5 | hugo sánchez | 1989 / 90 | real madrid | 38 | 35 | 1.086 |\n| 7 | baltazar | 1988 / 89 | atlético madrid | 35 | 36 | 0.972 |\n| 8 | cristiano ronaldo | 2012 / 13 | real madrid | 34 | 34 | 1.000 |\n| 8 | lionel messi | 2009 / 10 | barcelona | 34 | 35 | 0.971 |\n| 8 | ronaldo | 1996 / 97 | barcelona | 34 | 37 | 0.919 |\n| 8 | hugo sánchez | 1986 / 87 | real madrid | 34 | 41 | 0.829 |\n| 12 | pruden | 1940 / 41 | atlético aviación | 33 | 22 | 1.500 |\n| 12 | telmo zarra | 1946 / 47 | athletic bilbao | 33 | 24 | 1.375 |\n| 12 | toni polster | 1989 / 90 | sevilla | 33 | 35 | 0.943 |\n| 15 | diego forlán | 2008 / 09 | atlético madrid | 32 | 33 | 0.970 |\n| 16 | alfredo di stéfano | 1956 / 57 | real madrid | 31 | 30 | 1.033 |\n| 16 | lionel messi | 2010 / 11 | barcelona | 31 | 33 | 0.939 |\n| 16 | juan antonio pizzi | 1995 / 96 | tenerife | 31 | 41 | 0.756 |" + } + ] + }, + { + "id": "table_recognition_train_item_48792", + "image": "table_instructV/images/TAT-QA_2387c3a2-d894-4c7f-8c74-94b6eba678dc.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | | Years Ended December 31, | |\n| --- | --- | --- | --- |\n| Customer Type | 2017 | 2018 | 2019 |\n| | % | % | % |\n| Fabless design companies | 91.0 | 92.4 | 91.3 |\n| Integrated device manufacturers | 9.0 | 7.6 | 8.7 |\n| Total | 100.0 | 100.0 | 100.0 |" + } + ] + }, + { + "id": "table_recognition_train_item_113443", + "image": "table_instructV/images/Rotowire_train_table_1064.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nets | Brooklyn | 128 | 33 | 32 | 38 | 25 | 29 | 46 | 21 | 56 | 93 | 64 | 13 | 38 | | | | |\n| Kings | Sacramento | 119 | 25 | 36 | 24 | 34 | 30 | 31 | 11 | 51 | 96 | 31 | 21 | 29 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Nets | | | | | | | | | | | | | | | | | | |\n| Joe Johnson | 37 | 27 | 6 | 11 | 11-16 | 69% | 5-7 | 71% | 0-0 | 0% | 2 | 6 | 1 | 1 | 5 | 0 | F | Brooklyn |\n| Brook Lopez | 41 | 26 | 12 | 3 | 11-21 | 52% | 0-0 | 0% | 4-4 | 100% | 0 | 3 | 1 | 7 | 5 | 3 | C | Brooklyn |\n| Bojan Bogdanovic | 27 | 23 | 4 | 1 | 8-10 | 80% | 7-9 | 78% | 0-0 | 0% | 0 | 2 | 0 | 1 | 3 | 4 | N/A | Brooklyn |\n| Donald Sloan | 31 | 17 | 4 | 1 | 6-10 | 60% | 4-5 | 80% | 1-1 | 100% | 0 | 3 | 0 | 0 | 4 | 2 | G | Brooklyn |\n| Thaddeus Young | 39 | 14 | 14 | 7 | 6-10 | 60% | 0-0 | 0% | 2-2 | 100% | 2 | 3 | 0 | 1 | 13 | 1 | F | Brooklyn |\n| Wayne Ellington | 26 | 10 | 2 | 3 | 2-10 | 20% | 1-6 | 17% | 5-5 | 100% | 0 | 0 | 0 | 0 | 2 | 1 | G | Brooklyn |\n| Andrea Bargnani | 10 | 4 | 1 | 0 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 0 | 0 | N/A | Brooklyn |\n| Markel Brown | 6 | 3 | 0 | 1 | 1-1 | 100% | 0-0 | 0% | 1-1 | 100% | 0 | 1 | 0 | 0 | 0 | 3 | N/A | Brooklyn |\n| Shane Larkin | 17 | 3 | 1 | 2 | 1-3 | 33% | 1-1 | 100% | 0-0 | 0% | 1 | 3 | 0 | 0 | 1 | 4 | N/A | Brooklyn |\n| Thomas Robinson | 6 | 1 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 1 | 0 | 2 | 2 | N/A | Brooklyn |\n| Chris McCullough | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |\n| Willie Reed | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |\n| Sergey Karasev | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |\n| Kings | | | | | | | | | | | | | | | | | | |\n| Darren Collison | 25 | 25 | 3 | 1 | 7-9 | 78% | 2-3 | 67% | 9-9 | 100% | 2 | 2 | 0 | 1 | 2 | 2 | N/A | Sacramento |\n| DeMarcus Cousins | 40 | 24 | 10 | 10 | 9-18 | 50% | 4-4 | 100% | 2-3 | 67% | 2 | 3 | 0 | 0 | 10 | 2 | F | Sacramento |\n| Willie Cauley-Stein | 29 | 16 | 6 | 0 | 7-8 | 88% | 0-0 | 0% | 2-2 | 100% | 1 | 2 | 1 | 2 | 4 | 3 | C | Sacramento |\n| Rajon Rondo | 35 | 15 | 1 | 15 | 7-15 | 47% | 1-4 | 25% | 0-0 | 0% | 3 | 2 | 0 | 0 | 1 | 3 | G | Sacramento |\n| Marco Belinelli | 35 | 13 | 0 | 1 | 5-12 | 42% | 0-4 | 0% | 3-3 | 100% | 2 | 0 | 0 | 0 | 0 | 1 | G | Sacramento |\n| James Anderson | 15 | 8 | 3 | 0 | 4-8 | 50% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 1 | 0 | 3 | 2 | N/A | Sacramento |\n| Omri Casspi | 28 | 7 | 4 | 0 | 3-10 | 30% | 1-7 | 14% | 0-0 | 0% | 3 | 0 | 0 | 0 | 4 | 0 | N/A | Sacramento |\n| Ben McLemore | 12 | 5 | 0 | 2 | 0-4 | 0% | 0-1 | 0% | 5-5 | 100% | 1 | 0 | 0 | 0 | 0 | 3 | N/A | Sacramento |\n| Kosta Koufos | 12 | 4 | 3 | 0 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 2 | 1 | 1 | N/A | Sacramento |\n| Rudy Gay | 4 | 2 | 1 | 1 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 2 | F | Sacramento |\n| Quincy Acy | 6 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 0 | 0 | N/A | Sacramento |\n| Caron Butler | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Seth Curry | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |" + } + ] + }, + { + "id": "table_recognition_train_item_60022", + "image": "table_instructV/images/TabFact_1-23248940-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 17 | december 1 | boston | l 90 - 108 (ot) | nazr mohammed (16) | gerald wallace (8) | raymond felton (5) | time warner cable arena 15129 | 7 - 10 |\n| 18 | december 4 | new jersey | l 91 - 97 (ot) | stephen jackson , raymond felton (28) | gerald wallace (20) | boris diaw (6) | izod center 12131 | 7 - 11 |\n| 19 | december 5 | philadelphia | w 106 - 105 (ot) | boris diaw (28) | gerald wallace (14) | raymond felton (8) | time warner cable arena 13352 | 8 - 11 |\n| 20 | december 8 | denver | w 107 - 95 (ot) | stephen jackson , gerald wallace (25) | gerald wallace (16) | stephen jackson (6) | time warner cable arena 14127 | 9 - 11 |\n| 21 | december 11 | san antonio | l 85 - 104 (ot) | stephen jackson (23) | gerald wallace (6) | raymond felton (5) | at&t center 17508 | 9 - 12 |\n| 22 | december 12 | dallas | l 97 - 98 (ot) | stephen jackson (28) | gerald wallace (16) | raymond felton (8) | american airlines center 20151 | 9 - 13 |\n| 23 | december 15 | new york | w 94 - 87 (ot) | stephen jackson (24) | tyson chandler (12) | raymond felton (6) | time warner cable arena 13606 | 10 - 13 |\n| 24 | december 16 | indiana | l 98 - 101 (ot) | gerald wallace (29) | tyson chandler (13) | dj augustin (6) | conseco fieldhouse 11888 | 10 - 14 |\n| 25 | december 19 | utah | l 102 - 110 (ot) | gerald wallace (30) | gerald wallace (13) | gerald wallace , boris diaw (5) | time warner cable arena 14963 | 10 - 15 |\n| 26 | december 20 | new york | l 94 - 98 (ot) | raymond felton (27) | tyson chandler (14) | raymond felton (7) | madison square garden 18767 | 10 - 16 |\n| 27 | december 22 | detroit | w 88 - 76 (ot) | gerald wallace (29) | gerald wallace (12) | raymond felton (8) | time warner cable arena 16864 | 11 - 16 |\n| 28 | december 26 | oklahoma city | l 91 - 98 (ot) | stephen jackson (24) | stephen jackson , nazr mohammed (8) | stephen jackson , raymond felton (5) | ford center 17961 | 11 - 17 |\n| 29 | december 28 | milwaukee | w 94 - 84 (ot) | gerald wallace (21) | gerald wallace (14) | boris diaw (5) | time warner cable arena 15473 | 12 - 17 |" + } + ] + }, + { + "id": "table_recognition_train_item_48920", + "image": "table_instructV/images/TAT-QA_0a4ef914-2354-4b04-b2ef-b05687980890.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | September 2019 | September 2018 |\n| --- | --- | --- |\n| Trademarks and tradenames (Retail Segment) | $500,000 | $3,373,269 |\n| ustomer relationships (Wholesale Segment) (less accumulated amortization of approximately $2.1 million at both September 2019 and September 2018) | — | 41,667 |\n| | $ 500,000 | $3,414,936 |" + } + ] + }, + { + "id": "table_recognition_train_item_103991", + "image": "table_instructV/images/ToTTo_train_table_16646.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Place | County/ies | Population | Population density | Per capita income | Median household income | Median family income |\n| --- | --- | --- | --- | --- | --- | --- |\n| Acalanes Ridge | Contra Costa | 1,226 | 2,659.4 | $62,314 | $160,000 | $190,104 |\n| Acampo | San Joaquin | 776 | 827.3 | $36,756 | $141,250 | |\n| Acton | Los Angeles | 6,956 | 177.2 | $39,131 | $92,245 | $99,448 |\n| Adelanto | San Bernardino | 31,773 | 567.3 | $9,998 | $35,262 | $35,537 |\n| Adin | Modoc | 215 | 62.6 | $15,452 | $29,583 | $60,083 |\n| Agoura Hills | Los Angeles | 20,630 | 2,647.2 | $50,242 | $107,268 | $118,673 |\n| Agua Dulce | Los Angeles | 2,898 | 126.8 | $37,538 | $88,864 | $102,989 |\n| Aguanga | Riverside | 897 | 66.0 | $26,330 | $50,213 | $52,420 |\n| Ahwahnee | Madera | 2,165 | 216.0 | $34,915 | $59,129 | $69,583 |\n| Airport | Stanislaus | 1,547 | 2,639.9 | $11,709 | $21,607 | $32,292 |\n| Alameda | Alameda | 75,763 | 7,255.6 | $42,331 | $76,439 | $93,427 |\n| Alamo | Contra Costa | 15,639 | 1,617.4 | $77,281 | $163,151 | $171,633 |\n| Albany | Alameda | 19,020 | 10,637.6 | $40,426 | $78,769 | $91,967 |\n| Albion | Mendocino | 295 | 162.5 | $23,881 | $12,209 | $62,500 |\n| Alderpoint | Humboldt | 255 | 105.0 | $13,177 | $32,688 | |\n| Alhambra | Los Angeles | 84,400 | 11,060.1 | $24,971 | $53,195 | $57,056 |\n| Alhambra Valley | Contra Costa | 499 | 375.5 | $41,738 | $62,000 | $80,729 |\n| Aliso Viejo | Orange | 49,437 | 7,145.1 | $44,986 | $102,325 | $122,390 |\n| Alleghany | Sierra | 115 | 329.5 | $15,316 | $37,663 | |\n| Allendale | Solano | 1,613 | 262.9 | $50,026 | $123,125 | $145,799 |\n| Allensworth | Tulare | 480 | 154.7 | $7,966 | $25,625 | $19,250 |\n| Almanor | Plumas | 0 | 0.0 | | | |\n| Alondra Park | Los Angeles | 8,833 | 7,979.2 | $21,583 | $55,263 | $57,944 |\n| Alpaugh | Tulare | 969 | 964.2 | $9,919 | $26,927 | $26,776 |\n| Alpine | San Diego | 14,580 | 544.4 | $37,365 | $78,433 | $92,257 |\n| Alpine Village | Alpine | 105 | 37.4 | $27,154 | $66,458 | $115,417 |\n| Alta | Placer | 369 | 154.8 | $29,864 | $55,833 | $61,389 |\n| Altadena | Los Angeles | 44,622 | 5,120.7 | $42,089 | $83,917 | $94,886 |\n| Alta Sierra | Nevada | 6,902 | 829.5 | $34,823 | $68,792 | $78,983 |\n| Alto | Marin | 678 | 5,381.0 | $73,358 | $62,235 | $106,103 |\n| Alturas | Modoc | 2,714 | 1,114.6 | $21,118 | $31,087 | $55,363 |\n| Alum Rock | Santa Clara | 10,992 | 12,947.0 | $20,466 | $70,202 | $71,050 |\n| Amador City | Amador | 164 | 522.3 | $42,554 | $48,750 | $52,500 |\n| American Canyon | Napa | 20,089 | 3,303.6 | $28,451 | $81,955 | $89,954 |\n| Amesti | Santa Cruz | 3,213 | 1,074.2 | $19,677 | $48,617 | $52,031 |\n| Anaheim | Orange | 342,973 | 6,862.6 | $23,990 | $59,707 | $63,281 |\n| Anchor Bay | Mendocino | 254 | 72.3 | $39,850 | $34,191 | $85,650 |\n| Anderson | Shasta | 10,066 | 1,579.7 | $17,414 | $35,225 | $45,599 |\n| Angels | Calaveras | 3,782 | 1,042.4 | $31,306 | $55,114 | $73,229 |\n| Angwin | Napa | 3,583 | 742.0 | $21,387 | $66,765 | $72,813 |\n| Antelope | Sacramento | 47,798 | 6,993.1 | $23,808 | $64,122 | $68,510 |\n| Antioch | Contra Costa | 105,630 | 3,728.6 | $25,499 | $65,770 | $73,023 |\n| Anza | Riverside | 2,356 | 85.4 | $20,347 | $39,489 | $60,208 |\n| Apple Valley | San Bernardino | 70,561 | 947.9 | $23,543 | $48,337 | $54,646 |\n| Aptos | Santa Cruz | 5,872 | 912.9 | $39,214 | $78,929 | $91,920 |\n| Aptos Hills-Larkin Valley | Santa Cruz | 1,808 | 195.5 | $36,420 | $74,185 | $86,310 |\n| Arbuckle | Colusa | 3,009 | 1,710.6 | $15,611 | $47,639 | $50,431 |\n| Arcadia | Los Angeles | 57,251 | 5,240.4 | $38,582 | $80,147 | $93,635 |\n| Arcata | Humboldt | 17,679 | 1,944.5 | $18,681 | $30,244 | $45,728 |\n| Arden-Arcade | Sacramento | 92,844 | 5,207.5 | $31,469 | $45,750 | $60,601 |\n| Armona | Kings | 3,531 | 1,854.5 | $11,790 | $38,622 | $41,711 |\n| Arnold | Calaveras | 2,728 | 184.5 | $33,988 | $58,688 | $78,353 |\n| Aromas | Monterey San Benito | 2,677 | 565.2 | $30,316 | $67,019 | $81,080 |\n| Arroyo Grande | San Luis Obispo | 17,536 | 3,006.3 | $32,351 | $63,558 | $81,883 |\n| Artesia | Los Angeles | 16,698 | 10,301.0 | $21,688 | $60,544 | $62,485 |\n| Artois | Glenn | 194 | 67.4 | $10,773 | $60,096 | $60,481 |\n| Arvin | Kern | 20,028 | 4,156.0 | $10,582 | $35,359 | $34,809 |\n| Ashland | Alameda | 23,360 | 12,709.5 | $18,959 | $45,074 | $48,571 |\n| Aspen Springs | Mono | 54 | 15.1 | $43,841 | | |\n| Atascadero | San Luis Obispo | 28,792 | 1,119.7 | $32,602 | $66,342 | $77,998 |\n| Atherton | San Mateo | 7,034 | 1,398.7 | $144,197 | | |\n| Atwater | Merced | 28,686 | 4,691.9 | $18,663 | $41,619 | $45,281 |\n| Auberry | Fresno | 2,347 | 122.6 | $24,603 | $50,221 | $60,066 |\n| Auburn | Placer | 13,690 | 1,913.6 | $36,104 | $54,085 | $77,027 |\n| Auburn Lake Trails | El Dorado | 3,839 | 301.6 | $36,145 | $93,833 | $115,853 |\n| August | San Joaquin | 8,479 | 6,777.8 | $10,941 | $28,518 | $33,083 |\n| Avalon | Los Angeles | 3,768 | 1,283.8 | $28,545 | $54,231 | $56,765 |\n| Avenal | Kings | 14,553 | 749.3 | $7,532 | $29,302 | $29,932 |\n| Avery | Calaveras | 674 | 149.7 | $21,169 | $31,719 | $36,667 |\n| Avila Beach | San Luis Obispo | 1,166 | 194.0 | $43,153 | $73,304 | $74,821 |\n| Avocado Heights | Los Angeles | 15,432 | 5,702.9 | $22,076 | $72,174 | $74,382 |\n| Azusa | Los Angeles | 47,420 | 4,910.9 | $18,159 | $52,087 | $57,131 |\n| Baker | San Bernardino | 916 | 340.8 | $13,559 | $36,838 | $38,063 |\n| Bakersfield | Kern | 358,700 | 2,414.7 | $23,786 | $56,842 | $61,994 |\n| Baldwin Park | Los Angeles | 76,411 | 11,523.3 | $15,419 | $51,189 | $51,599 |\n| Ballard | Santa Barbara | 323 | 273.7 | $65,977 | $87,083 | $116,250 |\n| Ballico | Merced | 333 | 110.2 | $22,216 | $41,250 | $73,333 |\n| Bangor | Butte | 575 | 42.8 | $19,272 | $39,500 | $48,409 |\n| Banning | Riverside | 30,281 | 1,310.9 | $20,246 | $39,556 | $46,434 |\n| Barstow | San Bernardino | 23,110 | 559.0 | $18,863 | $40,648 | $48,977 |\n| Bass Lake | Madera | 570 | 296.0 | $25,752 | $36,250 | $58,438 |\n| Bay Point | Contra Costa | 21,586 | 3,280.5 | $17,385 | $41,749 | $42,983 |\n| Bayview | Contra Costa | 2,025 | 6,639.3 | $29,636 | $82,431 | $95,150 |\n| Bayview | Humboldt | 2,408 | 3,289.6 | $18,175 | $26,987 | $35,987 |\n| Beale AFB | Yuba | 1,342 | 132.9 | $16,375 | $42,904 | $42,684 |\n| Bear Creek | Merced | 197 | 3,456.1 | $11,585 | $16,719 | $32,800 |\n| Bear Valley | Alpine | 43 | 8.3 | $21,109 | $75,179 | |\n| Bear Valley | Mariposa | 201 | 27.8 | $10,781 | $16,042 | $11,597 |\n| Bear Valley Springs | Kern | 5,058 | 121.9 | $38,716 | $82,761 | $97,212 |\n| Beaumont | Riverside | 39,620 | 1,279.4 | $26,627 | $66,775 | $75,809 |\n| Beckwourth | Plumas | 290 | 24.8 | $43,100 | $52,609 | $81,351 |\n| Belden | Plumas | 46 | 75.4 | | | |\n| Bell | Los Angeles | 35,896 | 14,352.7 | $12,031 | $36,496 | $36,390 |\n| Bella Vista | Shasta | 2,717 | 122.4 | $22,187 | $52,041 | $57,586 |\n| Bell Canyon | Ventura | 2,289 | 632.0 | $81,271 | $208,508 | $215,441 |\n| Bellflower | Los Angeles | 77,521 | 12,671.0 | $20,213 | $49,360 | $53,023 |\n| Bell Gardens | Los Angeles | 42,712 | 17,369.7 | $11,460 | $37,103 | $36,739 |\n| Belmont | San Mateo | 26,503 | 5,730.4 | $56,302 | $106,287 | $142,446 |\n| Belvedere | Marin | 2,036 | 3,922.9 | $119,798 | $166,250 | $181,833 |\n| Benbow | Humboldt | 314 | 64.3 | $30,828 | $47,308 | $46,779 |\n| Bend | Tehama | 641 | 219.7 | $33,164 | $74,375 | $86,964 |\n| Benicia | Solano | 27,450 | 2,123.1 | $43,640 | $89,094 | $113,235 |\n| Ben Lomond | Santa Cruz | 6,485 | 775.7 | $36,066 | $70,281 | $88,986 |\n| Benton | Mono | 178 | 6.2 | $19,566 | $26,000 | $43,468 |\n| Berkeley | Alameda | 115,688 | 11,053.7 | $42,406 | $65,283 | $114,720 |\n| Bermuda Dunes | Riverside | 7,719 | 2,613.1 | $35,103 | $60,494 | $61,940 |\n| Berry Creek | Butte | 1,292 | 22.6 | $22,781 | $41,287 | $52,188 |\n| Bertsch-Oceanview | Del Norte | 2,568 | 468.0 | $17,953 | $35,678 | $48,269 |\n| Bethel Island | Contra Costa | 2,158 | 386.5 | $30,388 | $36,845 | $72,536 |\n| Beverly Hills | Los Angeles | 34,536 | 6,050.5 | $81,788 | $87,366 | $123,636 |\n| Bieber | Lassen | 127 | 77.6 | $17,413 | $42,083 | $52,083 |\n| Big Bear City | San Bernardino | 12,563 | 393.2 | $23,024 | $43,404 | $50,346 |\n| Big Bear Lake | San Bernardino | 5,104 | 804.2 | $30,115 | $41,058 | $47,368 |\n| Big Bend | Shasta | 87 | 15.2 | $17,511 | $23,750 | $41,750 |\n| Big Creek | Fresno | 201 | 437.0 | $36,270 | $82,917 | $101,250 |\n| Biggs | Butte | 2,010 | 3,160.4 | $16,624 | $40,847 | $42,273 |\n| Big Lagoon | Humboldt | 142 | 237.1 | $27,510 | $60,179 | $92,639 |\n| Big Pine | Inyo | 1,612 | 545.7 | $26,038 | $49,750 | $61,563 |\n| Big River | San Bernardino | 1,061 | 98.0 | $23,785 | $23,589 | $34,750 |\n| Biola | Fresno | 1,017 | 1,571.9 | $8,090 | $26,750 | $32,333 |\n| Bishop | Inyo | 3,851 | 2,066.0 | $23,661 | $30,395 | $65,142 |\n| Blackhawk | Contra Costa | 9,297 | 1,602.7 | $85,049 | $167,875 | $195,833 |\n| Blacklake | San Luis Obispo | 942 | 901.4 | $48,044 | $71,471 | $81,917 |\n| Black Point-Green Point | Marin | 1,111 | 393.0 | $71,770 | $117,431 | $130,893 |\n| Blairsden | Plumas | 35 | 64.6 | $41,300 | $11,250 | |\n| Bloomfield | Sonoma | 373 | 45.8 | $40,524 | $77,955 | $122,863 |\n| Bloomington | San Bernardino | 25,228 | 4,213.8 | $14,012 | $48,985 | $48,091 |\n| Blue Lake | Humboldt | 1,258 | 2,121.4 | $25,209 | $45,750 | $58,125 |\n| Bluewater | San Bernardino | 174 | 195.1 | $26,989 | $40,417 | $42,250 |\n| Blythe | Riverside | 20,101 | 767.5 | $15,835 | $46,393 | $48,400 |\n| Bodega | Sonoma | 156 | 53.8 | $53,951 | $29,688 | |\n| Bodega Bay | Sonoma | 603 | 72.3 | $72,541 | $86,000 | $143,333 |\n| Bodfish | Kern | 1,961 | 246.0 | $16,580 | $20,121 | $21,861 |\n| Bolinas | Marin | 1,403 | 240.8 | $50,783 | $74,310 | $115,741 |\n| Bombay Beach | Imperial | 171 | 181.7 | $22,526 | $15,050 | $11,875 |\n| Bonadelle Ranchos-Madera Ranchos | Madera | 8,503 | 730.6 | $29,845 | $77,321 | $81,735 |\n| Bonita | San Diego | 13,864 | 2,763.4 | $34,407 | $87,666 | $99,860 |\n| Bonny Doon | Santa Cruz | 2,752 | 164.9 | $46,896 | $88,221 | $104,609 |\n| Bonsall | San Diego | 4,138 | 308.9 | $43,006 | $69,399 | $81,711 |\n| Boonville | Mendocino | 1,090 | 196.7 | $14,796 | $35,938 | $39,632 |\n| Bootjack | Mariposa | 959 | 137.0 | $19,924 | $41,683 | $54,583 |\n| Boron | Kern | 2,241 | 162.4 | $15,269 | $31,333 | $31,534 |\n| Boronda | Monterey | 1,278 | 2,323.6 | $13,117 | $42,333 | $42,292 |\n| Borrego Springs | San Diego | 2,359 | 54.8 | $21,464 | $36,583 | $43,750 |\n| Bostonia | San Diego | 16,460 | 8,519.7 | $19,252 | $42,333 | $47,347 |\n| Boulder Creek | Santa Cruz | 4,741 | 631.1 | $43,381 | $79,392 | $103,583 |\n| Boulevard | San Diego | 434 | 111.1 | $16,235 | $12,421 | $72,943 |\n| Bowles | Fresno | 182 | 477.7 | $18,409 | $31,250 | $90,833 |\n| Boyes Hot Springs | Sonoma | 7,664 | 7,237.0 | $26,245 | $54,788 | $56,331 |\n| Bradbury | Los Angeles | 845 | 431.8 | $76,472 | $112,273 | $116,667 |\n| Bradley | Monterey | 127 | 1,476.7 | $19,103 | $53,333 | $73,500 |\n| Brawley | Imperial | 25,478 | 3,316.6 | $17,700 | $41,718 | $47,344 |\n| Brea | Orange | 40,443 | 3,316.9 | $35,245 | $81,857 | $98,944 |\n| Brentwood | Contra Costa | 54,062 | 3,640.3 | $33,357 | $88,697 | $100,925 |\n| Bret Harte | Stanislaus | 4,998 | 9,103.8 | $9,379 | $28,279 | $31,389 |\n| Bridgeport | Mono | 761 | 35.0 | $28,094 | $39,118 | $107,896 |\n| Brisbane | San Mateo | 4,421 | 1,428.0 | $40,401 | $80,233 | $96,477 |\n| Broadmoor | San Mateo | 4,734 | 10,496.7 | $34,328 | $100,109 | $110,160 |\n| Brookdale | Santa Cruz | 2,204 | 572.9 | $56,819 | $84,451 | $104,817 |\n| Brooktrails | Mendocino | 3,589 | 493.5 | $22,821 | $48,097 | $51,250 |\n| Buckhorn | Amador | 2,503 | 426.4 | $24,548 | $49,583 | $57,595 |\n| Buck Meadows | Mariposa | 50 | 28.7 | $20,440 | | |\n| Bucks Lake | Plumas | 14 | 1.4 | | | |\n| Buellton | Santa Barbara | 4,924 | 3,112.5 | $29,597 | $59,695 | $84,267 |\n| Buena Park | Orange | 82,191 | 7,809.9 | $24,525 | $68,884 | $72,878 |\n| Buena Vista | Amador | 284 | 175.1 | $21,452 | $58,419 | $49,083 |\n| Burbank | Los Angeles | 104,484 | 6,025.3 | $33,882 | $66,111 | $82,063 |\n| Burbank | Santa Clara | 5,869 | 14,563.3 | $28,373 | $64,592 | $65,588 |\n| Burlingame | San Mateo | 29,618 | 6,723.7 | $61,062 | $90,890 | $132,210 |\n| Burney | Shasta | 3,172 | 610.5 | $19,176 | $38,214 | $43,346 |\n| Burnt Ranch | Trinity | 308 | 23.0 | $25,077 | $55,500 | $59,028 |\n| Butte Creek Canyon | Butte | 805 | 39.3 | $47,737 | $75,417 | $81,875 |\n| Butte Meadows | Butte | 34 | 15.9 | | | |\n| Butte Valley | Butte | 603 | 33.0 | $26,612 | $52,734 | $52,813 |\n| Buttonwillow | Kern | 1,371 | 197.9 | $13,690 | $34,274 | $32,647 |\n| Byron | Contra Costa | 1,305 | 201.1 | $29,962 | $75,673 | $60,250 |\n| Bystrom | Stanislaus | 3,805 | 5,359.2 | $11,583 | $25,543 | $30,474 |\n| Cabazon | Riverside | 3,266 | 671.2 | $12,032 | $40,144 | $33,551 |\n| Calabasas | Los Angeles | 23,956 | 1,747.8 | $60,703 | $117,176 | $136,724 |\n| Calexico | Imperial | 39,281 | 4,550.6 | $12,960 | $35,233 | $40,218 |\n| California City | Kern | 13,243 | 65.1 | $22,908 | $57,660 | $61,581 |\n| California Hot Springs | Tulare | 74 | 98.9 | $23,838 | $41,250 | $83,750 |\n| California Pines | Modoc | 367 | 49.4 | $16,074 | $41,518 | $74,236 |\n| Calimesa | Riverside | 8,143 | 548.5 | $24,981 | $42,392 | $61,319 |\n| Calipatria | Imperial | 7,599 | 2,044.9 | $10,352 | $30,911 | $32,135 |\n| Calistoga | Napa | 5,244 | 2,018.5 | $33,280 | $52,131 | $83,889 |\n| Callender | San Luis Obispo | 1,537 | 672.4 | $29,647 | $75,200 | $77,936 |\n| Calpella | Mendocino | 424 | 167.1 | $22,521 | $44,000 | $54,038 |\n| Calpine | Sierra | 189 | 266.2 | $32,869 | $25,938 | $126,000 |\n| Calwa | Fresno | 1,330 | 2,131.4 | $6,559 | $18,625 | $14,219 |\n| Camanche North Shore | Amador | 947 | 406.1 | $33,000 | $77,375 | $83,276 |\n| Camanche Village | Amador | 840 | 154.5 | $29,831 | $86,176 | $103,214 |\n| Camarillo | Ventura | 65,985 | 3,378.3 | $39,689 | $87,120 | $102,201 |\n| Cambria | San Luis Obispo | 6,246 | 734.1 | $40,857 | $62,948 | $82,656 |\n| Cambrian Park | Santa Clara | 3,318 | 5,567.1 | $46,468 | $101,406 | $112,500 |\n| Cameron Park | El Dorado | 18,831 | 1,695.4 | $35,469 | $74,690 | $86,690 |\n| Camino | El Dorado | 1,833 | 814.7 | $35,973 | $72,383 | $81,477 |\n| Camino Tassajara | Contra Costa | 1,789 | 1,404.2 | $64,980 | $142,371 | $155,948 |\n| Campbell | Santa Clara | 40,327 | 6,948.1 | $44,769 | $91,269 | $103,539 |\n| Camp Nelson | Tulare | 100 | 80.8 | $46,972 | $84,107 | $84,107 |\n| Campo | San Diego | 3,031 | 129.1 | $28,810 | $59,294 | $75,272 |\n| Camp Pendleton North | San Diego | 6,436 | 726.9 | $17,566 | $37,075 | $37,075 |\n| Camp Pendleton South | San Diego | 12,691 | 3,243.3 | $15,779 | $43,742 | $43,568 |\n| Camptonville | Yuba | 150 | 175.6 | $21,369 | $28,750 | $47,917 |\n| Canby | Modoc | 693 | 305.6 | $11,576 | $41,932 | $41,932 |\n| Cantua Creek | Fresno | 440 | 115.9 | $9,890 | $31,181 | $31,181 |\n| Canyondam | Plumas | 78 | 100.5 | $18,027 | | |\n| Canyon Lake | Riverside | 10,810 | 2,764.0 | $34,925 | $74,682 | $79,561 |\n| Capitola | Santa Cruz | 10,043 | 6,304.5 | $37,940 | $56,607 | $81,133 |\n| Caribou | Plumas | 0 | 0.0 | | | |\n| Carlsbad | San Diego | 109,296 | 2,897.0 | $44,305 | $87,416 | $106,924 |\n| Carmel-by-the-Sea | Monterey | 3,807 | 3,525.0 | $45,928 | $62,460 | $92,750 |\n| Carmel Valley Village | Monterey | 4,321 | 227.6 | $55,560 | $95,444 | $115,333 |\n| Carmet | Sonoma | 14 | 48.8 | | | |\n| Carmichael | Sacramento | 63,314 | 4,680.2 | $32,665 | $54,598 | $70,783 |\n| Carnelian Bay | Placer | 463 | 356.4 | $36,276 | $72,083 | $91,389 |\n| Carpinteria | Santa Barbara | 13,323 | 5,152.0 | $33,331 | $65,467 | $76,311 |\n| Carrick | Siskiyou | 66 | 1,118.6 | $12,639 | | |\n| Carson | Los Angeles | 92,475 | 4,939.1 | $23,622 | $71,420 | $76,997 |\n| Cartago | Inyo | 38 | 32.5 | $32,953 | $46,016 | |\n| Caruthers | Fresno | 3,338 | 1,650.0 | $13,785 | $44,375 | $44,898 |\n| Casa Conejo | Ventura | 3,699 | 7,836.9 | $28,694 | $89,432 | $100,125 |\n| Casa de Oro-Mount Helix | San Diego | 21,076 | 3,076.8 | $37,682 | $75,637 | $96,717 |\n| Casmalia | Santa Barbara | 114 | 606.4 | $20,635 | $47,031 | $45,938 |\n| Caspar | Mendocino | 599 | 200.2 | $28,594 | $50,000 | $75,104 |\n| Cassel | Shasta | 349 | 172.3 | $27,611 | $34,600 | $33,450 |\n| Castaic | Los Angeles | 18,619 | 2,563.9 | $35,715 | $105,523 | $110,130 |\n| Castle Hill | Contra Costa | 1,223 | 1,682.3 | $54,105 | $113,952 | $124,167 |\n| Castro Valley | Alameda | 62,363 | 3,725.4 | $38,897 | $83,442 | $97,572 |\n| Castroville | Monterey | 6,226 | 6,092.0 | $14,156 | $50,000 | $52,069 |\n| Cathedral City | Riverside | 52,550 | 2,444.2 | $19,674 | $43,128 | $47,489 |\n| Catheys Valley | Mariposa | 878 | 37.5 | $32,190 | $51,528 | $57,813 |\n| Cayucos | San Luis Obispo | 2,553 | 823.5 | $45,327 | $57,863 | $73,021 |\n| Cazadero | Sonoma | 312 | 43.8 | $25,780 | $43,875 | $42,969 |\n| Cedar Ridge | Tuolumne | 1,132 | 145.3 | $33,038 | $54,271 | $73,750 |\n| Cedar Slope | Tulare | 0 | 0.0 | | | |\n| Cedarville | Modoc | 297 | 54.6 | $22,492 | $28,274 | $29,048 |\n| Centerville | Fresno | 348 | 42.8 | $39,458 | $85,833 | $106,250 |\n| Ceres | Stanislaus | 46,570 | 4,992.5 | $18,575 | $46,132 | $48,964 |\n| Cerritos | Los Angeles | 49,599 | 5,686.7 | $35,460 | $91,487 | $100,919 |\n| Chalfant | Mono | 714 | 25.5 | $34,043 | $66,361 | $86,731 |\n| Challenge-Brownsville | Yuba | 952 | 98.1 | $19,383 | $47,959 | $36,771 |\n| Channel Islands Beach | Ventura | 2,778 | 6,876.2 | $53,956 | $90,521 | $110,461 |\n| Charter Oak | Los Angeles | 9,200 | 9,913.8 | $24,139 | $61,946 | $70,187 |\n| Cherokee | Butte | 80 | 45.7 | $23,230 | $36,875 | $85,156 |\n| Cherokee Strip | Kern | 295 | 3,241.8 | $9,350 | $36,250 | $28,026 |\n| Cherryland | Alameda | 15,244 | 12,735.2 | $20,378 | $50,374 | $50,537 |\n| Cherry Valley | Riverside | 6,823 | 850.7 | $29,789 | $58,080 | $66,047 |\n| Chester | Plumas | 1,978 | 271.4 | $21,631 | $40,417 | $48,409 |\n| Chico | Butte | 87,517 | 2,658.3 | $24,775 | $42,334 | $60,195 |\n| Chilcoot-Vinton | Plumas | 130 | 9.8 | $14,089 | | |\n| China Lake Acres | Kern | 1,376 | 264.1 | $22,054 | $21,970 | $37,422 |\n| Chinese Camp | Tuolumne | 99 | 110.2 | $27,201 | $24,722 | $103,125 |\n| Chino | San Bernardino | 80,810 | 2,724.2 | $23,116 | $72,554 | $78,328 |\n| Chino Hills | San Bernardino | 76,187 | 1,705.0 | $35,529 | $97,609 | $105,911 |\n| Chowchilla | Madera | 18,411 | 1,653.1 | $11,856 | $36,852 | $38,180 |\n| Chualar | Monterey | 1,255 | 2,004.8 | $15,542 | $58,036 | $57,679 |\n| Chula Vista | San Diego | 253,031 | 5,098.2 | $25,385 | $66,110 | $74,703 |\n| Citrus | Los Angeles | 11,446 | 12,904.2 | $17,422 | $58,626 | $61,119 |\n| Citrus Heights | Sacramento | 84,678 | 5,951.1 | $24,915 | $51,150 | $59,355 |\n| Claremont | Los Angeles | 35,569 | 2,664.3 | $39,402 | $89,648 | $108,739 |\n| Clarksburg | Yolo | 406 | 200.1 | $35,308 | $49,783 | $49,130 |\n| Clay | Sacramento | 1,153 | 170.7 | $35,120 | $76,184 | $71,429 |\n| Clayton | Contra Costa | 11,328 | 2,950.0 | $54,740 | $131,136 | $141,623 |\n| Clear Creek | Lassen | 182 | 160.6 | $19,851 | $33,021 | $65,938 |\n| Clearlake | Lake | 15,121 | 1,492.8 | $16,301 | $25,532 | $30,772 |\n| Clearlake Oaks | Lake | 1,547 | 782.1 | $20,844 | $27,500 | $38,750 |\n| Clearlake Riviera | Lake | 2,912 | 557.4 | $23,831 | $43,167 | $45,842 |\n| Cleone | Mendocino | 679 | 426.2 | $31,822 | $62,632 | $59,853 |\n| Clio | Plumas | 49 | 85.1 | $29,645 | $75,313 | |\n| Clipper Mills | Butte | 0 | 0.0 | | | |\n| Cloverdale | Sonoma | 8,692 | 2,863.0 | $28,677 | $59,120 | $67,746 |\n| Clovis | Fresno | 98,815 | 4,210.8 | $28,497 | $63,662 | $74,201 |\n| Clyde | Contra Costa | 680 | 4,788.7 | $27,403 | $41,382 | $93,750 |\n| Coachella | Riverside | 42,576 | 1,470.7 | $12,321 | $40,423 | $40,018 |\n| Coalinga | Fresno | 17,235 | 2,581.6 | $19,237 | $50,373 | $53,750 |\n| Coarsegold | Madera | 1,172 | 106.7 | $26,734 | $30,216 | $66,346 |\n| Cobb | Lake | 1,147 | 230.3 | $29,938 | $71,641 | $83,357 |\n| Coffee Creek | Trinity | 132 | 11.5 | $26,230 | $58,889 | $92,500 |\n| Cohasset | Butte | 808 | 31.9 | $21,582 | $55,595 | $58,520 |\n| Cold Springs | El Dorado | 623 | 825.2 | $23,860 | $49,150 | $81,458 |\n| Cold Springs | Tuolumne | 193 | 111.3 | $31,913 | $34,963 | |\n| Coleville | Mono | 395 | 28.7 | $36,201 | $45,147 | $46,397 |\n| Colfax | Placer | 2,424 | 1,724.0 | $24,810 | $46,902 | $48,269 |\n| College City | Colusa | 196 | 59.8 | $26,042 | $97,727 | $97,727 |\n| Collierville | San Joaquin | 1,942 | 294.5 | $28,835 | $51,595 | $60,096 |\n| Colma | San Mateo | 1,837 | 964.3 | $30,256 | $88,438 | $95,208 |\n| Coloma | El Dorado | 761 | 226.8 | $30,194 | $65,426 | $66,051 |\n| Colton | San Bernardino | 53,129 | 3,467.0 | $16,004 | $39,915 | $44,608 |\n| Columbia | Tuolumne | 2,456 | 412.0 | $20,816 | $40,313 | $52,029 |\n| Colusa | Colusa | 5,962 | 3,250.8 | $22,606 | $45,959 | $50,515 |\n| Commerce | Los Angeles | 12,975 | 1,984.6 | $15,625 | $45,846 | $50,948 |\n| Comptche | Mendocino | 77 | 66.7 | $47,960 | $83,750 | |\n| Compton | Los Angeles | 97,663 | 9,754.6 | $13,847 | $43,230 | $45,877 |\n| Concord | Contra Costa | 125,017 | 4,093.0 | $31,404 | $67,122 | $78,218 |\n| Concow | Butte | 539 | 19.7 | $29,949 | $34,773 | $58,438 |\n| Contra Costa Centre | Contra Costa | 6,031 | 9,482.7 | $57,385 | $87,721 | $107,547 |\n| Copperopolis | Calaveras | 4,365 | 210.0 | $31,166 | $56,831 | $71,477 |\n| Corcoran | Kings | 23,634 | 3,149.5 | $7,995 | $34,082 | $35,048 |\n| Corning | Tehama | 7,617 | 2,145.6 | $13,776 | $36,906 | $35,390 |\n| Corona | Riverside | 157,395 | 4,052.8 | $27,577 | $77,021 | $82,607 |\n| Coronado | San Diego | 24,333 | 3,068.1 | $48,476 | $90,876 | $112,608 |\n| Coronita | Riverside | 3,397 | 4,951.9 | $26,292 | $78,304 | $77,857 |\n| Corralitos | Santa Cruz | 2,812 | 312.9 | $36,032 | $84,466 | $94,778 |\n| Corte Madera | Marin | 9,478 | 2,996.5 | $64,762 | $113,279 | $141,143 |\n| Costa Mesa | Orange | 111,635 | 7,110.5 | $33,342 | $66,491 | $76,781 |\n| Cotati | Sonoma | 7,347 | 3,908.0 | $32,834 | $59,808 | $75,461 |\n| Coto de Caza | Orange | 14,647 | 1,897.0 | $70,990 | $166,328 | $172,654 |\n| Cottonwood | Shasta | 4,178 | 1,805.5 | $17,268 | $42,660 | $44,450 |\n| Coulterville | Mariposa | 227 | 53.9 | $28,431 | $45,000 | |\n| Country Club | San Joaquin | 10,018 | 5,225.9 | $20,643 | $43,323 | $50,168 |\n| Courtland | Sacramento | 515 | 286.1 | $42,765 | $58,472 | $57,266 |\n| Covelo | Mendocino | 1,444 | 203.5 | $17,585 | $26,389 | $23,553 |\n| Covina | Los Angeles | 48,429 | 6,890.9 | $25,622 | $64,496 | $73,113 |\n| Cowan | Stanislaus | 510 | 3,269.2 | $11,454 | $37,656 | $25,833 |\n| Crescent City | Del Norte | 7,295 | 3,716.3 | $12,430 | $27,885 | $43,554 |\n| Crescent Mills | Plumas | 426 | 100.4 | $15,014 | $31,655 | $32,230 |\n| Cressey | Merced | 322 | 183.2 | $22,093 | $53,214 | $53,214 |\n| Crest | San Diego | 2,393 | 366.4 | $35,347 | $74,115 | $79,632 |\n| Crestline | San Bernardino | 9,437 | 681.9 | $24,754 | $47,175 | $53,552 |\n| Creston | San Luis Obispo | 61 | 108.2 | $58,821 | $83,523 | |\n| C-Road | Plumas | 213 | 79.9 | $23,339 | $78,796 | $79,583 |\n| Crockett | Contra Costa | 3,151 | 2,972.6 | $42,310 | $81,667 | $89,588 |\n| Cromberg | Plumas | 172 | 19.0 | $48,815 | $32,188 | $163,030 |\n| Crowley Lake | Mono | 707 | 251.9 | $40,119 | $88,500 | $93,611 |\n| Crows Landing | Stanislaus | 194 | 61.2 | $13,302 | $29,018 | $31,563 |\n| Cudahy | Los Angeles | 24,073 | 20,487.7 | $11,400 | $37,759 | $36,289 |\n| Culver City | Los Angeles | 39,353 | 7,699.7 | $45,792 | $79,292 | $99,860 |\n| Cupertino | Santa Clara | 59,787 | 5,285.7 | $55,867 | $134,872 | $158,053 |\n| Cutler | Tulare | 4,224 | 5,234.2 | $6,456 | $18,346 | $17,629 |\n| Cutten | Humboldt | 3,117 | 2,408.8 | $30,467 | $55,080 | $71,381 |\n| Cuyama | Santa Barbara | 72 | 158.9 | $10,951 | $27,188 | $27,917 |\n| Cypress | Orange | 48,748 | 7,373.8 | $33,693 | $83,819 | $92,166 |\n| Daly City | San Mateo | 103,897 | 13,599.1 | $28,753 | $74,489 | $83,096 |\n| Dana Point | Orange | 33,861 | 5,210.2 | $51,474 | $84,404 | $103,457 |\n| Danville | Contra Costa | 42,891 | 2,372.7 | $65,783 | $140,616 | $157,842 |\n| Daphnedale Park | Modoc | 20 | 15.0 | | | |\n| Darwin | Inyo | 18 | 13.4 | $24,089 | | |\n| Davenport | Santa Cruz | 303 | 106.9 | $33,563 | $67,031 | $78,393 |\n| Davis | Yolo | 66,093 | 6,687.5 | $33,646 | $57,454 | $110,692 |\n| Day Valley | Santa Cruz | 3,869 | 209.1 | $39,039 | $73,393 | $85,438 |\n| Deer Park | Napa | 1,072 | 192.2 | $53,298 | $97,266 | $122,361 |\n| Del Aire | Los Angeles | 10,406 | 10,262.3 | $31,248 | $79,943 | $88,997 |\n| Delano | Kern | 52,883 | 3,697.3 | $10,455 | $36,244 | $36,684 |\n| Delft Colony | Tulare | 164 | 2,484.8 | $2,685 | $8,456 | $8,456 |\n| Delhi | Merced | 9,918 | 2,825.6 | $15,121 | $46,224 | $48,077 |\n| Delleker | Plumas | 798 | 288.5 | $20,945 | $30,878 | $66,250 |\n| Del Mar | San Diego | 4,242 | 2,485.1 | $87,852 | $103,457 | $123,938 |\n| Del Monte Forest | Monterey | 6,439 | 800.5 | $48,338 | $102,396 | $126,250 |\n| Del Rey | Fresno | 1,489 | 1,223.5 | $9,746 | $31,222 | $31,065 |\n| Del Rey Oaks | Monterey | 1,727 | 3,597.9 | $41,181 | $101,250 | $120,417 |\n| Del Rio | Stanislaus | 1,769 | 970.4 | $50,082 | $102,679 | $117,730 |\n| Denair | Stanislaus | 4,892 | 2,469.5 | $22,069 | $63,136 | $68,750 |\n| Derby Acres | Kern | 324 | 90.5 | $26,230 | $34,792 | $62,813 |\n| Descanso | San Diego | 1,305 | 67.9 | $30,185 | $59,115 | $54,167 |\n| Desert Center | Riverside | 208 | 6.8 | $19,180 | $55,750 | $56,500 |\n| Desert Edge | Riverside | 4,244 | 1,871.3 | $19,756 | $30,579 | $43,950 |\n| Desert Hot Springs | Riverside | 27,678 | 916.5 | $14,466 | $33,575 | $34,850 |\n| Desert Palms | Riverside | 6,776 | 2,536.9 | $46,954 | $56,108 | $82,035 |\n| Desert Shores | Imperial | 1,039 | 1,503.6 | $11,407 | $30,735 | $36,111 |\n| Desert View Highlands | Los Angeles | 2,291 | 5,206.8 | $19,362 | $62,946 | $70,650 |\n| Diablo | Contra Costa | 969 | 714.1 | $113,989 | $167,188 | |\n| Diablo Grande | Stanislaus | 1,083 | 211.8 | $33,285 | $92,880 | $92,609 |\n| Diamond Bar | Los Angeles | 56,259 | 3,781.1 | $34,539 | $90,901 | $95,500 |\n| Diamond Springs | El Dorado | 12,105 | 727.4 | $24,922 | $52,483 | $68,474 |\n| Dillon Beach | Marin | 82 | 27.5 | $42,220 | $44,417 | $46,389 |\n| Dinuba | Tulare | 22,828 | 3,528.3 | $12,838 | $38,509 | $37,478 |\n| Discovery Bay | Contra Costa | 14,315 | 2,272.2 | $43,649 | $112,063 | $114,085 |\n| Dixon | Solano | 18,718 | 2,626.0 | $26,501 | $66,818 | $71,994 |\n| Dixon Lane-Meadow Creek | Inyo | 2,447 | 728.3 | $27,392 | $44,792 | $72,394 |\n| Dobbins | Yuba | 658 | 84.9 | $19,331 | $35,469 | $48,182 |\n| Dogtown | San Joaquin | 2,475 | 190.9 | $30,638 | $68,281 | $79,565 |\n| Dollar Point | Placer | 1,076 | 658.1 | $44,872 | $68,892 | $87,500 |\n| Dorrington | Calaveras | 349 | 96.2 | $42,523 | $81,477 | $80,909 |\n| Dorris | Siskiyou | 1,115 | 1,588.3 | $13,843 | $30,179 | $32,708 |\n| Dos Palos | Merced | 5,023 | 3,723.5 | $13,218 | $33,700 | $34,171 |\n| Dos Palos Y | Merced | 171 | 108.4 | $19,360 | $17,708 | $22,000 |\n| Douglas City | Trinity | 670 | 26.8 | $22,331 | $31,645 | $52,000 |\n| Downey | Los Angeles | 113,082 | 9,113.6 | $23,216 | $60,374 | $64,187 |\n| Downieville | Sierra | 233 | 73.2 | $29,637 | $54,196 | $112,589 |\n| Doyle | Lassen | 382 | 62.6 | $20,169 | $21,950 | $39,196 |\n| Drytown | Amador | 148 | 40.1 | $25,704 | $77,188 | $107,700 |\n| Duarte | Los Angeles | 21,676 | 3,240.1 | $26,421 | $62,186 | $72,440 |\n| Dublin | Alameda | 49,694 | 3,262.3 | $44,679 | $114,699 | $128,737 |\n| Ducor | Tulare | 646 | 1,059.0 | $10,834 | $28,036 | $23,833 |\n| Dunnigan | Yolo | 1,017 | 194.4 | $27,670 | $63,875 | $74,828 |\n| Dunsmuir | Siskiyou | 1,482 | 923.9 | $20,503 | $29,464 | $38,571 |\n| Durham | Butte | 5,743 | 70.2 | $34,648 | $69,323 | $75,050 |\n| Dustin Acres | Kern | 295 | 80.3 | $24,897 | $48,269 | $59,688 |\n| Dutch Flat | Placer | 132 | 222.6 | $33,769 | $54,000 | $58,750 |\n| Eagleville | Modoc | 70 | 72.2 | $19,651 | $28,333 | $52,083 |\n| Earlimart | Tulare | 8,310 | 3,947.7 | $7,894 | $24,968 | $26,435 |\n| East Foothills | Santa Clara | 6,479 | 3,094.1 | $49,726 | $120,881 | $122,969 |\n| East Hemet | Riverside | 18,188 | 3,489.0 | $19,371 | $45,374 | $49,055 |\n| East Los Angeles | Los Angeles | 127,610 | 17,128.9 | $12,905 | $39,103 | $41,577 |\n| East Nicolaus | Sutter | 251 | 54.8 | $22,273 | $42,566 | $44,408 |\n| East Oakdale | Stanislaus | 2,901 | 611.8 | $40,010 | $84,018 | $95,938 |\n| Easton | Fresno | 1,991 | 661.2 | $26,678 | $58,813 | $63,917 |\n| East Orosi | Tulare | 321 | 1,294.4 | $7,465 | $29,000 | $31,375 |\n| East Palo Alto | San Mateo | 28,920 | 11,540.3 | $18,527 | $52,716 | $53,094 |\n| East Pasadena | Los Angeles | 6,123 | 4,642.2 | $45,380 | $76,019 | $87,273 |\n| East Porterville | Tulare | 6,585 | 2,209.7 | $10,164 | $31,900 | $31,012 |\n| East Quincy | Plumas | 2,633 | 217.4 | $23,396 | $51,045 | $56,667 |\n| East Rancho Dominguez | Los Angeles | 15,343 | 18,665.5 | $13,065 | $44,964 | $47,115 |\n| East Richmond Heights | Contra Costa | 3,501 | 6,036.2 | $32,733 | $68,185 | $83,125 |\n| East San Gabriel | Los Angeles | 15,573 | 9,982.7 | $33,792 | $72,500 | $90,219 |\n| East Shore | Plumas | 203 | 171.6 | $48,613 | $80,625 | $152,083 |\n| East Sonora | Tuolumne | 2,168 | 875.6 | $28,074 | $43,484 | $52,500 |\n| East Tulare Villa | Tulare | 951 | 1,973.0 | $15,225 | $45,446 | $45,625 |\n| Eastvale | Riverside | 55,298 | 4,366.9 | $28,687 | $109,783 | $109,717 |\n| East Whittier | Los Angeles | 10,440 | 9,578.0 | $27,809 | $66,377 | $73,207 |\n| Edgewood | Siskiyou | 30 | 29.5 | $15,243 | $34,375 | $35,313 |\n| Edmundson Acres | Kern | 274 | 4,151.5 | $9,448 | $35,000 | $34,375 |\n| Edna | San Luis Obispo | 174 | 142.7 | $31,055 | $75,294 | $75,417 |\n| Edwards AFB | Kern | 2,503 | 146.1 | $20,554 | $63,162 | $64,265 |\n| El Cajon | San Diego | 101,582 | 7,016.3 | $20,430 | $45,957 | $50,257 |\n| El Centro | Imperial | 43,268 | 3,903.6 | $18,463 | $41,677 | $47,303 |\n| El Cerrito | Contra Costa | 24,136 | 6,599.9 | $45,190 | $88,380 | $104,524 |\n| El Cerrito | Riverside | 5,551 | 2,174.3 | $22,752 | $60,987 | $61,467 |\n| El Dorado Hills | El Dorado | 43,862 | 905.3 | $46,853 | $118,306 | $129,292 |\n| Eldridge | Sonoma | 1,333 | 2,044.5 | $29,956 | $54,355 | $61,786 |\n| El Granada | San Mateo | 5,377 | 1,114.9 | $57,758 | $110,000 | $158,309 |\n| Elizabeth Lake | Los Angeles | 1,603 | 256.6 | $30,157 | $56,806 | $66,500 |\n| Elk Creek | Glenn | 136 | 93.9 | $23,439 | $42,500 | $44,464 |\n| Elk Grove | Sacramento | 158,455 | 3,755.5 | $29,695 | $79,051 | $84,732 |\n| Elkhorn | Monterey | 1,342 | 279.1 | $33,900 | $84,758 | $103,750 |\n| Elmira | Solano | 242 | 455.7 | $24,259 | $71,793 | $70,870 |\n| El Monte | Los Angeles | 115,243 | 12,052.2 | $15,010 | $38,906 | $40,727 |\n| El Nido | Merced | 412 | 125.2 | $29,007 | $30,956 | $33,375 |\n| El Paso de Robles (Paso Robles) | San Luis Obispo | 30,522 | 1,594.1 | $28,358 | $59,978 | $66,880 |\n| El Portal | Mariposa | 601 | 584.1 | $41,825 | $102,872 | $103,429 |\n| El Rancho | Tulare | 16 | 222.2 | | | |\n| El Rio | Ventura | 6,785 | 3,352.3 | $17,696 | $59,179 | $67,039 |\n| El Segundo | Los Angeles | 16,839 | 3,082.4 | $42,575 | $84,004 | $103,205 |\n| El Sobrante | Contra Costa | 13,122 | 4,745.8 | $30,822 | $60,732 | $66,806 |\n| El Sobrante | Riverside | 14,855 | 2,059.5 | $30,822 | $99,080 | $99,126 |\n| El Verano | Sonoma | 4,338 | 3,798.6 | $25,804 | $50,811 | $43,250 |\n| Elverta | Sacramento | 5,547 | 627.3 | $23,017 | $60,718 | $61,516 |\n| Emerald Lake Hills | San Mateo | 4,519 | 3,781.6 | $80,009 | $166,063 | $188,654 |\n| Emeryville | Alameda | 10,497 | 8,194.4 | $53,155 | $69,329 | $84,688 |\n| Empire | Stanislaus | 4,296 | 2,748.6 | $12,446 | $31,446 | $34,128 |\n| Encinitas | San Diego | 61,008 | 3,243.0 | $48,067 | $92,564 | $111,696 |\n| Escalon | San Joaquin | 7,252 | 3,151.7 | $26,249 | $57,971 | $72,694 |\n| Escondido | San Diego | 147,603 | 3,982.9 | $21,684 | $49,409 | $53,983 |\n| Esparto | Yolo | 3,229 | 701.8 | $19,565 | $64,844 | $66,652 |\n| Etna | Siskiyou | 750 | 986.8 | $14,168 | $26,711 | $28,438 |\n| Eucalyptus Hills | San Diego | 5,352 | 1,124.8 | $31,768 | $71,861 | $78,313 |\n| Eureka | Humboldt | 27,039 | 2,881.4 | $21,151 | $38,007 | $50,807 |\n| Exeter | Tulare | 10,468 | 4,250.1 | $19,357 | $41,341 | $46,295 |\n| Fairbanks Ranch | San Diego | 3,245 | 637.0 | $55,172 | $119,228 | $133,707 |\n| Fairfax | Marin | 7,546 | 3,423.8 | $56,506 | $93,354 | $132,545 |\n| Fairfield | Solano | 107,983 | 2,888.2 | $27,110 | $66,190 | $75,091 |\n| Fairmead | Madera | 1,983 | 256.3 | $10,861 | $31,058 | $37,550 |\n| Fair Oaks | Sacramento | 31,256 | 2,895.1 | $40,467 | $73,295 | $91,885 |\n| Fairview | Alameda | 9,852 | 3,582.5 | $36,521 | $90,365 | $100,551 |\n| Fallbrook | San Diego | 31,435 | 1,793.7 | $25,565 | $51,765 | $56,025 |\n| Fall River Mills | Shasta | 712 | 274.6 | $17,021 | $32,824 | $30,893 |\n| Farmersville | Tulare | 10,675 | 4,727.6 | $11,102 | $32,455 | $34,538 |\n| Farmington | San Joaquin | 124 | 48.8 | $55,222 | $19,886 | $130,357 |\n| Fellows | Kern | 98 | 149.4 | $24,036 | $63,250 | $63,500 |\n| Felton | Santa Cruz | 3,957 | 869.3 | $41,368 | $75,550 | $95,000 |\n| Ferndale | Humboldt | 1,456 | 1,417.7 | $37,233 | $45,948 | $61,058 |\n| Fetters Hot Springs-Agua Caliente | Sonoma | 4,866 | 3,330.6 | $28,459 | $58,232 | $60,761 |\n| Fiddletown | Amador | 86 | 18.6 | $23,801 | $42,500 | |\n| Fieldbrook | Humboldt | 812 | 77.6 | $30,480 | $62,750 | $82,292 |\n| Fields Landing | Humboldt | 130 | 469.3 | $25,299 | $16,537 | |\n| Fillmore | Ventura | 15,203 | 4,519.3 | $19,205 | $54,519 | $60,142 |\n| Firebaugh | Fresno | 7,935 | 2,257.5 | $12,436 | $31,312 | $33,518 |\n| Fish Camp | Mariposa | 44 | 48.7 | $15,666 | | |\n| Florence-Graham | Los Angeles | 62,815 | 17,546.1 | $10,957 | $33,992 | $33,360 |\n| Florin | Sacramento | 50,791 | 5,834.7 | $16,358 | $40,183 | $44,694 |\n| Floriston | Nevada | 58 | 61.1 | $36,800 | $56,607 | $59,375 |\n| Flournoy | Tehama | 143 | 24.7 | $18,901 | $58,500 | $59,250 |\n| Folsom | Sacramento | 73,334 | 3,341.4 | $38,472 | $100,163 | $116,527 |\n| Fontana | San Bernardino | 201,355 | 4,745.6 | $19,685 | $64,995 | $66,795 |\n| Foothill Farms | Sacramento | 33,024 | 7,862.9 | $19,658 | $44,590 | $45,764 |\n| Forbestown | Butte | 450 | 71.7 | $20,552 | $63,676 | $64,853 |\n| Ford City | Kern | 4,154 | 2,706.2 | $14,873 | $32,134 | $38,448 |\n| Foresthill | Placer | 1,345 | 120.2 | $26,123 | $34,821 | $75,820 |\n| Forest Meadows | Calaveras | 1,674 | 296.0 | $40,314 | $70,484 | $85,114 |\n| Forest Ranch | Butte | 1,064 | 76.4 | $30,503 | $41,649 | $48,313 |\n| Forestville | Sonoma | 3,461 | 658.4 | $28,818 | $55,740 | $66,136 |\n| Fort Bidwell | Modoc | 161 | 50.3 | $16,952 | $23,333 | $29,167 |\n| Fort Bragg | Mendocino | 7,274 | 2,646.1 | $20,585 | $34,057 | $54,615 |\n| Fort Irwin | San Bernardino | 9,191 | 1,319.6 | $19,077 | $49,928 | $51,134 |\n| Fort Jones | Siskiyou | 848 | 1,408.6 | $16,945 | $39,500 | $51,250 |\n| Fortuna | Humboldt | 11,863 | 2,448.5 | $21,626 | $42,450 | $51,213 |\n| Fort Washington | Fresno | 430 | 3,467.7 | $64,517 | $92,566 | $92,566 |\n| Foster City | San Mateo | 31,809 | 8,379.6 | $55,318 | $114,651 | $130,566 |\n| Fountain Valley | Orange | 56,440 | 6,221.3 | $34,382 | $82,532 | $93,322 |\n| Fowler | Fresno | 5,908 | 2,324.2 | $19,298 | $47,731 | $62,070 |\n| Franklin | Merced | 6,840 | 3,403.0 | $15,950 | $34,671 | $41,273 |\n| Franklin | Sacramento | 33 | 15.7 | $23,882 | $24,531 | |\n| Frazier Park | Kern | 2,730 | 539.1 | $20,707 | $43,077 | $56,336 |\n| Freedom | Santa Cruz | 3,205 | 2,903.1 | $18,078 | $51,492 | $52,885 |\n| Freeport | Sacramento | 68 | 1,545.5 | $25,197 | $46,250 | |\n| Fremont | Alameda | 221,654 | 2,861.3 | $40,815 | $103,591 | $112,347 |\n| French Camp | San Joaquin | 4,155 | 1,322.4 | $10,460 | $35,833 | $46,350 |\n| French Gulch | Shasta | 441 | 35.8 | $14,994 | $28,750 | $27,833 |\n| French Valley | Riverside | 26,753 | 2,456.4 | $26,621 | $88,699 | $88,614 |\n| Fresno | Fresno | 506,132 | 4,470.2 | $19,226 | $41,455 | $45,554 |\n| Friant | Fresno | 263 | 210.2 | $20,332 | $18,884 | $17,000 |\n| Fruitdale | Santa Clara | 1,089 | 4,078.7 | $43,850 | $73,250 | $103,333 |\n| Fruitridge Pocket | Sacramento | 5,802 | 9,542.8 | $10,884 | $32,853 | $34,948 |\n| Fuller Acres | Kern | 924 | 1,225.5 | $10,343 | $33,750 | $28,472 |\n| Fullerton | Orange | 137,945 | 6,149.2 | $29,733 | $65,909 | $76,187 |\n| Fulton | Sonoma | 441 | 226.3 | $34,310 | $65,750 | $116,146 |\n| Furnace Creek | Inyo | 187 | 6.0 | $29,232 | $33,000 | $53,359 |\n| Galt | Sacramento | 24,280 | 4,050.0 | $22,609 | $59,375 | $62,452 |\n| Garberville | Humboldt | 1,061 | 395.9 | $18,239 | $29,694 | $37,127 |\n| Gardena | Los Angeles | 59,682 | 10,238.8 | $23,230 | $47,856 | $54,331 |\n| Garden Acres | San Joaquin | 11,172 | 4,315.2 | $13,032 | $38,940 | $39,460 |\n| Garden Farms | San Luis Obispo | 341 | 312.0 | $53,338 | $102,344 | $100,156 |\n| Garden Grove | Orange | 173,853 | 9,681.6 | $21,241 | $59,360 | $62,562 |\n| Garey | Santa Barbara | 74 | 58.5 | $17,823 | $62,500 | $46,667 |\n| Garnet | Riverside | 6,380 | 809.2 | $13,804 | $37,910 | $39,785 |\n| Gasquet | Del Norte | 500 | 105.1 | $22,000 | $35,547 | $38,750 |\n| Gazelle | Siskiyou | 76 | 131.0 | $12,700 | $21,071 | $30,833 |\n| Georgetown | El Dorado | 2,458 | 162.5 | $23,926 | $46,136 | $78,487 |\n| Gerber | Tehama | 1,201 | 1,301.2 | $14,062 | $31,781 | $32,232 |\n| Geyserville | Sonoma | 879 | 194.7 | $22,451 | $49,271 | $49,931 |\n| Gilroy | Santa Clara | 50,776 | 3,145.6 | $29,559 | $81,056 | $86,098 |\n| Glendale | Los Angeles | 195,380 | 6,417.7 | $29,264 | $52,451 | $61,806 |\n| Glendora | Los Angeles | 50,855 | 2,621.5 | $32,090 | $74,169 | $82,961 |\n| Glen Ellen | Sonoma | 614 | 292.1 | $43,374 | $48,750 | $49,167 |\n| Golden Hills | Kern | 8,398 | 685.6 | $26,782 | $64,425 | $68,682 |\n| Gold Mountain | Plumas | 22 | 3.6 | | | |\n| Gold River | Sacramento | 7,658 | 2,904.1 | $57,795 | $102,500 | $115,926 |\n| Goleta | Santa Barbara | 30,333 | 3,863.6 | $33,469 | $75,766 | $92,391 |\n| Gonzales | Monterey | 8,336 | 4,348.5 | $19,466 | $51,178 | $43,370 |\n| Good Hope | Riverside | 8,911 | 793.3 | $11,960 | $34,801 | $39,135 |\n| Goodyears Bar | Sierra | 23 | 11.2 | | | |\n| Goshen | Tulare | 3,832 | 2,155.2 | $10,421 | $38,162 | $34,211 |\n| Graeagle | Plumas | 546 | 49.3 | $36,458 | $54,688 | $68,625 |\n| Grand Terrace | San Bernardino | 12,252 | 3,498.6 | $29,572 | $64,140 | $78,763 |\n| Grangeville | Kings | 607 | 948.4 | $30,119 | $50,450 | $67,125 |\n| Granite Bay | Placer | 22,646 | 1,051.9 | $55,636 | $118,063 | $135,583 |\n| Granite Hills | San Diego | 3,438 | 1,230.9 | $48,827 | $111,684 | $126,618 |\n| Graniteville | Nevada | 0 | 0.0 | | | |\n| Grass Valley | Nevada | 12,861 | 2,711.6 | $23,005 | $33,325 | $40,591 |\n| Graton | Sonoma | 1,626 | 1,029.8 | $26,548 | $37,927 | $56,250 |\n| Grayson | Stanislaus | 888 | 348.4 | $14,153 | $28,068 | $35,096 |\n| Greeley Hill | Mariposa | 566 | 26.9 | $21,738 | $30,766 | $58,646 |\n| Greenacres | Kern | 4,949 | 2,587.0 | $30,071 | $64,052 | $69,561 |\n| Green Acres | Riverside | 2,330 | 1,664.3 | $14,428 | $55,417 | $55,444 |\n| Greenfield | Kern | 3,974 | 2,746.4 | $21,522 | $51,410 | $50,625 |\n| Greenfield | Monterey | 16,715 | 7,829.0 | $13,567 | $52,374 | $49,544 |\n| Greenhorn | Plumas | 182 | 27.1 | $52,332 | $58,023 | $48,875 |\n| Green Valley | Los Angeles | 1,022 | 79.8 | $46,357 | $93,313 | $129,531 |\n| Green Valley | Solano | 1,217 | 146.5 | $72,511 | $77,946 | $134,766 |\n| Greenview | Siskiyou | 183 | 141.3 | $8,551 | $14,193 | $14,193 |\n| Greenville | Plumas | 950 | 118.9 | $24,222 | $30,766 | $31,944 |\n| Grenada | Siskiyou | 421 | 815.9 | $19,725 | $30,750 | $36,250 |\n| Gridley | Butte | 6,566 | 3,172.0 | $16,870 | $42,542 | $47,438 |\n| Grimes | Colusa | 419 | 185.3 | $14,078 | $40,947 | $29,750 |\n| Grizzly Flats | El Dorado | 771 | 116.3 | $20,361 | $56,250 | $67,981 |\n| Groveland | Tuolumne | 725 | 75.8 | $16,038 | $31,932 | $33,735 |\n| Grover Beach | San Luis Obispo | 13,337 | 5,773.6 | $26,781 | $49,418 | $54,955 |\n| Guadalupe | Santa Barbara | 7,160 | 5,469.8 | $14,903 | $45,456 | $46,420 |\n| Guerneville | Sonoma | 3,775 | 388.8 | $34,303 | $42,712 | $58,269 |\n| Guinda | Yolo | 599 | 206.1 | $13,122 | $77,596 | $78,317 |\n| Gustine | Merced | 5,610 | 3,617.0 | $20,620 | $38,173 | $47,646 |\n| Hacienda Heights | Los Angeles | 55,179 | 4,937.7 | $28,614 | $76,435 | $81,135 |\n| Half Moon Bay | San Mateo | 11,803 | 1,837.6 | $54,270 | $103,239 | $108,700 |\n| Hamilton Branch | Plumas | 634 | 584.3 | $29,462 | $60,268 | $63,750 |\n| Hamilton City | Glenn | 1,718 | 5,506.4 | $13,338 | $32,774 | $33,547 |\n| Hanford | Kings | 54,523 | 3,244.6 | $22,307 | $53,543 | $59,543 |\n| Happy Camp | Siskiyou | 1,153 | 95.2 | $15,357 | $25,625 | $31,458 |\n| Harbison Canyon | San Diego | 4,577 | 454.6 | $29,795 | $81,913 | $83,098 |\n| Hardwick | Kings | 184 | 1,323.7 | $12,236 | $18,250 | $19,000 |\n| Hartland | Tulare | 0 | 0.0 | | | |\n| Hartley | Solano | 2,458 | 379.6 | $42,008 | $97,100 | $103,060 |\n| Hasley Canyon | Los Angeles | 1,296 | 225.8 | $41,556 | $100,972 | $96,417 |\n| Hat Creek | Shasta | 215 | 4.3 | $22,517 | $36,027 | $48,558 |\n| Hawaiian Gardens | Los Angeles | 14,432 | 15,223.6 | $13,557 | $39,073 | $38,246 |\n| Hawthorne | Los Angeles | 85,889 | 14,124.2 | $20,445 | $44,384 | $47,091 |\n| Hayfork | Trinity | 2,372 | 32.9 | $18,810 | $28,287 | $46,108 |\n| Hayward | Alameda | 149,596 | 3,293.6 | $25,770 | $62,691 | $69,415 |\n| Healdsburg | Sonoma | 11,466 | 2,572.6 | $32,461 | $58,176 | $65,375 |\n| Heber | Imperial | 4,256 | 2,869.9 | $11,565 | $35,153 | $36,097 |\n| Hemet | Riverside | 81,203 | 2,916.0 | $18,284 | $33,932 | $41,824 |\n| Herald | Sacramento | 1,221 | 155.0 | $36,154 | $92,045 | $92,159 |\n| Hercules | Contra Costa | 24,596 | 3,835.9 | $37,978 | $100,267 | $113,447 |\n| Herlong | Lassen | 1,702 | 1,045.5 | $6,846 | $50,781 | $44,167 |\n| Hermosa Beach | Los Angeles | 19,725 | 13,822.7 | $74,730 | $105,029 | $167,750 |\n| Hesperia | San Bernardino | 91,757 | 1,255.3 | $16,584 | $44,472 | $50,027 |\n| Hickman | Stanislaus | 479 | 445.2 | $20,190 | $48,000 | $57,500 |\n| Hidden Hills | Los Angeles | 1,749 | 1,035.5 | $126,620 | $245,694 | |\n| Hidden Meadows | San Diego | 3,283 | 498.7 | $38,942 | $61,234 | $81,875 |\n| Hidden Valley Lake | Lake | 6,168 | 633.7 | $24,252 | $65,706 | $67,382 |\n| Highgrove | Riverside | 4,067 | 1,263.4 | $16,332 | $41,087 | $46,071 |\n| Highland | San Bernardino | 54,032 | 2,880.9 | $21,578 | $53,385 | $57,517 |\n| Highlands-Baywood Park | San Mateo | 4,298 | 2,373.3 | $59,656 | $135,345 | $162,235 |\n| Hillsborough | San Mateo | 11,148 | 1,801.0 | $127,868 | | |\n| Hilmar-Irwin | Merced | 5,266 | 1,340.6 | $27,961 | $52,775 | $55,500 |\n| Hiouchi | Del Norte | 413 | 712.1 | $26,170 | $46,083 | $71,406 |\n| Hollister | San Benito | 36,067 | 4,924.5 | $22,516 | $66,045 | $66,363 |\n| Holtville | Imperial | 6,067 | 5,284.8 | $14,247 | $29,628 | $32,240 |\n| Home Garden | Kings | 1,787 | 4,024.8 | $11,708 | $32,976 | $33,631 |\n| Home Gardens | Riverside | 11,701 | 7,519.9 | $15,198 | $52,704 | $51,076 |\n| Homeland | Riverside | 5,921 | 1,386.7 | $16,804 | $36,516 | $44,667 |\n| Homestead Valley | San Bernardino | 3,366 | 99.3 | $15,712 | $30,527 | $31,844 |\n| Homewood Canyon | Inyo | 20 | 2.0 | | | |\n| Honcut | Butte | 145 | 34.2 | $24,944 | $70,064 | |\n| Hood | Sacramento | 311 | 987.3 | $20,970 | $75,556 | $78,385 |\n| Hopland | Mendocino | 587 | 166.5 | $21,892 | $38,750 | $67,917 |\n| Hornbrook | Siskiyou | 275 | 236.1 | $14,389 | $27,083 | $36,406 |\n| Hornitos | Mariposa | 56 | 48.0 | | | |\n| Hughson | Stanislaus | 6,895 | 3,489.4 | $21,964 | $50,109 | $57,042 |\n| Humboldt Hill | Humboldt | 3,704 | 891.9 | $23,598 | $48,134 | $54,657 |\n| Huntington Beach | Orange | 195,686 | 7,265.4 | $42,680 | $82,554 | $97,638 |\n| Huntington Park | Los Angeles | 58,787 | 19,511.1 | $12,088 | $34,777 | $35,367 |\n| Huron | Fresno | 6,777 | 4,259.6 | $9,968 | $28,896 | $25,859 |\n| Hyampom | Trinity | 255 | 12.6 | $20,368 | $29,952 | $33,672 |\n| Hydesville | Humboldt | 1,354 | 180.5 | $26,257 | $56,216 | $65,875 |\n| Idlewild | Tulare | 32 | 69.7 | $32,731 | | |\n| Idyllwild-Pine Cove | Riverside | 2,562 | 186.7 | $33,070 | $60,500 | $67,056 |\n| Imperial | Imperial | 15,782 | 2,695.0 | $24,109 | $73,683 | $74,683 |\n| Imperial Beach | San Diego | 26,857 | 6,454.5 | $19,896 | $48,117 | $54,639 |\n| Independence | Inyo | 681 | 139.9 | $26,470 | $50,625 | $71,071 |\n| Indian Falls | Plumas | 23 | 12.5 | $6,722 | | |\n| Indianola | Humboldt | 889 | 629.6 | $25,538 | $40,769 | $50,208 |\n| Indian Wells | Riverside | 5,089 | 355.3 | $81,359 | $85,000 | $108,000 |\n| Indio | Riverside | 82,539 | 2,692.3 | $20,674 | $47,922 | $54,656 |\n| Indio Hills | Riverside | 910 | 42.3 | $18,471 | $37,386 | $36,705 |\n| Industry | Los Angeles | 384 | 32.6 | $19,617 | $51,951 | $51,890 |\n| Inglewood | Los Angeles | 111,133 | 12,255.5 | $19,837 | $42,249 | $46,449 |\n| Interlaken | Santa Cruz | 6,954 | 709.2 | $22,324 | $70,541 | $72,222 |\n| Inverness | Marin | 1,368 | 213.8 | $52,826 | $51,850 | $91,458 |\n| Inyokern | Kern | 665 | 60.9 | $35,933 | $51,172 | $107,411 |\n| Ione | Amador | 7,318 | 1,592.6 | $13,793 | $50,617 | $77,361 |\n| Iron Horse | Plumas | 343 | 44.3 | $27,161 | $97,829 | $97,829 |\n| Irvine | Orange | 229,850 | 3,505.4 | $43,456 | $91,999 | $109,956 |\n| Irwindale | Los Angeles | 1,530 | 173.4 | $18,122 | $56,625 | $60,750 |\n| Isla Vista | Santa Barbara | 24,792 | 13,401.1 | $8,904 | $19,237 | $38,810 |\n| Isleton | Sacramento | 792 | 1,800.0 | $17,200 | $30,900 | $32,273 |\n| Ivanhoe | Tulare | 4,044 | 2,007.9 | $9,915 | $32,783 | $33,656 |\n| Jackson | Amador | 4,616 | 1,237.5 | $24,618 | $41,745 | $50,150 |\n| Jacumba | San Diego | 77 | 12.6 | $99,860 | | |\n| Jamestown | Tuolumne | 3,394 | 1,133.6 | $22,768 | $38,488 | $29,362 |\n| Jamul | San Diego | 5,445 | 328.3 | $39,791 | $109,492 | $113,799 |\n| Janesville | Lassen | 1,474 | 111.8 | $30,675 | $73,617 | $73,165 |\n| Jenner | Sonoma | 109 | 51.7 | $45,506 | $83,750 | $80,250 |\n| Johannesburg | Kern | 79 | 32.7 | $14,733 | $13,906 | |\n| Johnstonville | Lassen | 1,072 | 128.3 | $27,946 | $67,708 | $73,654 |\n| Johnsville | Plumas | 35 | 2.5 | | | |\n| Joshua Tree | San Bernardino | 7,564 | 204.2 | $22,792 | $38,297 | $47,226 |\n| Julian | San Diego | 1,345 | 171.6 | $31,063 | $77,050 | $75,500 |\n| Junction City | Trinity | 920 | 33.0 | $21,224 | $37,917 | $55,625 |\n| June Lake | Mono | 589 | 73.7 | $20,604 | $50,595 | $51,518 |\n| Jurupa Valley | Riverside | 97,247 | 2,265.2 | $18,579 | $55,898 | $59,710 |\n| Keddie | Plumas | 89 | 138.0 | $42,799 | $83,594 | $84,010 |\n| Keeler | Inyo | 80 | 61.4 | $10,664 | $13,824 | $14,632 |\n| Keene | Kern | 325 | 33.6 | $29,119 | $65,474 | $66,379 |\n| Kelly Ridge | Butte | 2,594 | 1,329.6 | $25,509 | $38,645 | $46,338 |\n| Kelseyville | Lake | 3,516 | 1,218.7 | $17,378 | $37,606 | $46,000 |\n| Kennedy | San Joaquin | 3,487 | 2,879.4 | $10,334 | $37,675 | $39,550 |\n| Kennedy Meadows | Tulare | 37 | 6.4 | $22,359 | $14,408 | |\n| Kensington | Contra Costa | 5,351 | 5,650.5 | $67,369 | $136,625 | $156,179 |\n| Kentfield | Marin | 6,667 | 2,204.0 | $109,976 | $175,573 | $246,771 |\n| Kenwood | Sonoma | 1,075 | 208.1 | $75,128 | $86,719 | $103,505 |\n| Kerman | Fresno | 14,110 | 4,364.4 | $15,199 | $45,539 | $48,822 |\n| Kernville | Kern | 1,354 | 109.5 | $31,106 | $51,731 | $61,250 |\n| Keswick | Shasta | 410 | 121.4 | $27,618 | $60,417 | $71,250 |\n| Kettleman City | Kings | 1,648 | 7,810.4 | $13,434 | $41,131 | $40,060 |\n| Keyes | Stanislaus | 6,364 | 2,249.6 | $13,124 | $37,421 | $40,714 |\n| King City | Monterey | 13,171 | 3,425.5 | $12,770 | $40,500 | $41,087 |\n| Kings Beach | Placer | 3,384 | 984.0 | $20,677 | $39,639 | $44,306 |\n| Kingsburg | Fresno | 11,582 | 4,101.3 | $25,921 | $60,361 | $70,305 |\n| Kingvale | Nevada Placer | 177 | 184.0 | $33,515 | $63,295 | $63,295 |\n| Kirkwood | Alpine Amador | 98 | 22.5 | $13,118 | $39,375 | |\n| Klamath | Del Norte | 955 | 76.2 | $15,828 | $30,769 | $38,173 |\n| Knightsen | Contra Costa | 1,644 | 196.7 | $29,127 | $78,672 | $80,500 |\n| Knights Landing | Yolo | 1,161 | 2,317.4 | $20,478 | $45,789 | $42,596 |\n| La Cañada Flintridge | Los Angeles | 20,477 | 2,373.3 | $71,758 | $151,786 | $169,482 |\n| La Crescenta-Montrose | Los Angeles | 20,241 | 5,908.1 | $38,256 | $89,737 | $109,722 |\n| Ladera | San Mateo | 1,497 | 3,282.9 | $95,386 | $225,391 | |\n| Ladera Heights | Los Angeles | 7,362 | 2,482.1 | $56,573 | $100,811 | $118,456 |\n| Ladera Ranch | Orange | 26,010 | 5,372.9 | $50,478 | $131,952 | $149,125 |\n| Lafayette | Contra Costa | 24,685 | 1,640.5 | $67,896 | $138,073 | $176,250 |\n| Laguna Beach | Orange | 23,114 | 2,598.8 | $79,340 | $97,881 | $138,869 |\n| Laguna Hills | Orange | 30,768 | 4,661.1 | $43,958 | $91,460 | $103,304 |\n| Laguna Niguel | Orange | 64,299 | 4,361.9 | $51,750 | $98,957 | $126,029 |\n| Laguna Woods | Orange | 16,302 | 4,873.5 | $37,419 | $36,708 | $54,357 |\n| Lagunitas-Forest Knolls | Marin | 2,007 | 472.6 | $38,092 | $79,148 | $100,335 |\n| La Habra | Orange | 61,341 | 8,341.2 | $25,646 | $61,364 | $68,954 |\n| La Habra Heights | Los Angeles | 5,398 | 876.4 | $51,293 | $111,250 | $113,833 |\n| La Honda | San Mateo | 741 | 174.2 | $48,114 | $104,479 | $162,552 |\n| Lake Almanor Country Club | Plumas | 530 | 193.2 | $67,541 | $74,286 | $89,000 |\n| Lake Almanor Peninsula | Plumas | 470 | 154.8 | $38,839 | $59,583 | $77,000 |\n| Lake Almanor West | Plumas | 263 | 115.0 | $75,154 | $113,819 | $113,472 |\n| Lake Arrowhead | San Bernardino | 11,255 | 634.9 | $29,997 | $64,461 | $73,135 |\n| Lake California | Tehama | 2,851 | 452.9 | $26,009 | $52,165 | $47,414 |\n| Lake City | Modoc | 35 | 6.0 | $18,940 | $37,750 | |\n| Lake Davis | Plumas | 45 | 8.3 | $16,027 | | |\n| Lake Don Pedro | Mariposa | 995 | 79.2 | $37,353 | $71,970 | $86,750 |\n| Lake Elsinore | Riverside | 56,243 | 1,466.6 | $21,016 | $63,303 | $65,855 |\n| Lake Forest | Orange | 78,940 | 4,745.1 | $38,760 | $92,781 | $109,426 |\n| Lakehead | Shasta | 493 | 105.0 | $19,697 | $31,136 | $40,500 |\n| Lake Hughes | Los Angeles | 469 | 44.1 | $16,426 | $21,932 | $43,000 |\n| Lake Isabella | Kern | 3,093 | 142.4 | $17,300 | $22,726 | $37,232 |\n| Lakeland Village | Riverside | 11,343 | 1,307.4 | $18,725 | $41,289 | $45,028 |\n| Lake Los Angeles | Los Angeles | 11,948 | 1,226.6 | $15,918 | $40,227 | $42,426 |\n| Lake Mathews | Riverside | 5,518 | 346.5 | $27,927 | $69,011 | $71,463 |\n| Lake Nacimiento | San Luis Obispo | 2,497 | 241.3 | $36,293 | $68,516 | $80,357 |\n| Lake of the Pines | Nevada | 3,563 | 2,383.3 | $38,479 | $75,403 | $84,271 |\n| Lake of the Woods | Kern | 539 | 153.0 | $24,728 | $33,750 | $34,219 |\n| Lakeport | Lake | 4,746 | 1,552.0 | $25,590 | $36,361 | $46,941 |\n| Lake Riverside | Riverside | 858 | 119.4 | $20,839 | $61,484 | $70,156 |\n| Lake San Marcos | San Diego | 4,679 | 2,718.8 | $30,845 | $43,125 | $67,927 |\n| Lake Sherwood | Ventura | 1,526 | 482.8 | $120,676 | $230,000 | |\n| Lakeside | San Diego | 21,079 | 3,054.9 | $26,236 | $62,037 | $74,608 |\n| Lakeview | Riverside | 1,723 | 528.5 | $16,372 | $47,383 | $54,426 |\n| Lake Wildwood | Nevada | 5,293 | 1,732.0 | $35,366 | $65,427 | $77,969 |\n| Lakewood | Los Angeles | 80,926 | 8,591.8 | $29,981 | $79,113 | $88,660 |\n| La Mesa | San Diego | 58,239 | 6,414.7 | $30,728 | $54,630 | $69,955 |\n| La Mirada | Los Angeles | 49,038 | 6,269.2 | $29,467 | $81,178 | $90,696 |\n| Lamont | Kern | 16,359 | 3,564.1 | $10,475 | $33,433 | $31,278 |\n| Lanare | Fresno | 398 | 197.2 | $10,910 | $47,875 | $47,875 |\n| Lancaster | Los Angeles | 159,092 | 1,687.1 | $19,703 | $49,057 | $54,993 |\n| La Palma | Orange | 15,791 | 8,856.4 | $33,524 | $84,026 | $90,080 |\n| La Porte | Plumas | 12 | 2.7 | | | |\n| La Presa | San Diego | 34,739 | 6,319.6 | $22,135 | $60,817 | $66,449 |\n| La Puente | Los Angeles | 40,342 | 11,595.9 | $15,509 | $54,660 | $55,150 |\n| La Quinta | Riverside | 38,774 | 1,103.6 | $39,021 | $71,074 | $80,473 |\n| La Riviera | Sacramento | 11,529 | 6,231.9 | $27,789 | $58,694 | $62,952 |\n| Larkfield-Wikiup | Sonoma | 8,831 | 1,663.7 | $37,027 | $75,230 | $83,295 |\n| Larkspur | Marin | 12,131 | 4,007.6 | $65,707 | $82,568 | $115,363 |\n| La Selva Beach | Santa Cruz | 2,932 | 553.5 | $51,592 | $108,611 | $105,833 |\n| Las Flores | Orange | 6,311 | 2,842.8 | $49,984 | $121,696 | $140,000 |\n| Las Flores | Tehama | 154 | 430.2 | $11,416 | $27,763 | $43,958 |\n| Las Lomas | Monterey | 3,409 | 3,287.4 | $13,409 | $68,194 | $68,352 |\n| Lathrop | San Joaquin | 19,163 | 873.8 | $18,488 | $63,087 | $64,136 |\n| Laton | Fresno | 1,144 | 590.6 | $19,300 | $29,865 | $29,625 |\n| La Verne | Los Angeles | 31,592 | 3,747.6 | $34,778 | $75,662 | $95,045 |\n| La Vina | Madera | 436 | 4,316.8 | $8,407 | $31,900 | $31,900 |\n| Lawndale | Los Angeles | 33,155 | 16,795.8 | $18,145 | $48,376 | $50,507 |\n| Laytonville | Mendocino | 1,227 | 228.6 | $15,235 | $31,190 | $36,458 |\n| Lebec | Kern | 1,333 | 87.0 | $17,666 | $56,324 | $55,294 |\n| Lee Vining | Mono | 234 | 44.8 | $9,196 | | |\n| Leggett | Mendocino | 54 | 20.0 | $18,922 | $43,571 | |\n| Le Grand | Merced | 1,823 | 1,599.1 | $13,865 | $38,625 | $38,571 |\n| Lemon Cove | Tulare | 214 | 256.6 | $17,693 | $34,875 | $39,444 |\n| Lemon Grove | San Diego | 25,963 | 6,693.2 | $21,915 | $52,339 | $57,052 |\n| Lemon Hill | Sacramento | 12,767 | 7,847.0 | $12,076 | $27,101 | $27,729 |\n| Lemoore | Kings | 24,788 | 2,910.4 | $23,836 | $52,701 | $56,775 |\n| Lemoore Station | Kings | 6,913 | 1,643.6 | $19,113 | $44,632 | $44,412 |\n| Lennox | Los Angeles | 22,039 | 20,163.8 | $12,057 | $36,573 | $36,126 |\n| Lenwood | San Bernardino | 3,153 | 1,424.1 | $16,243 | $42,727 | $57,232 |\n| Leona Valley | Los Angeles | 1,697 | 91.3 | $37,427 | $77,582 | $79,891 |\n| Lewiston | Trinity | 1,480 | 74.0 | $24,563 | $33,929 | $43,750 |\n| Lexington Hills | Santa Clara | 2,367 | 501.7 | $57,392 | $125,893 | $147,188 |\n| Likely | Modoc | 31 | 23.3 | | | |\n| Lincoln | Placer | 44,397 | 2,209.6 | $32,182 | $70,870 | $79,017 |\n| Lincoln Village | San Joaquin | 3,996 | 5,429.3 | $23,073 | $55,125 | $60,521 |\n| Linda | Yuba | 18,634 | 2,169.5 | $14,131 | $36,063 | $37,872 |\n| Lindcove | Tulare | 520 | 762.5 | $15,402 | $45,625 | $43,750 |\n| Linden | San Joaquin | 1,948 | 262.9 | $38,334 | $87,585 | $83,125 |\n| Lindsay | Tulare | 12,688 | 4,861.3 | $10,678 | $30,198 | $30,466 |\n| Linnell Camp | Tulare | 561 | 4,794.9 | $6,902 | $20,556 | $21,278 |\n| Litchfield | Lassen | 129 | 32.7 | $31,985 | $49,688 | $43,068 |\n| Little Grass Valley | Plumas | 0 | 0.0 | | | |\n| Little River | Mendocino | 38 | 22.7 | $24,705 | | |\n| Littlerock | Los Angeles | 2,040 | 1,106.9 | $10,711 | $39,745 | $39,676 |\n| Live Oak | Santa Cruz | 17,494 | 5,394.4 | $31,432 | $64,957 | $82,611 |\n| Live Oak | Sutter | 8,500 | 2,723.5 | $16,936 | $42,349 | $46,758 |\n| Livermore | Alameda | 83,901 | 3,122.9 | $42,594 | $99,683 | $111,950 |\n| Livingston | Merced | 13,461 | 3,660.9 | $13,604 | $50,674 | $51,912 |\n| Lockeford | San Joaquin | 3,172 | 380.3 | $25,079 | $45,698 | $47,639 |\n| Lockwood | Monterey | 389 | 35.8 | $36,450 | $94,615 | $75,089 |\n| Lodi | San Joaquin | 63,158 | 4,619.9 | $23,648 | $48,662 | $54,740 |\n| Lodoga | Colusa | 147 | 43.4 | $31,301 | $50,000 | $68,333 |\n| Loleta | Humboldt | 661 | 311.2 | $22,226 | $41,094 | $53,750 |\n| Loma Linda | San Bernardino | 23,648 | 3,146.4 | $31,239 | $58,259 | $68,223 |\n| Loma Mar | San Mateo | 211 | 121.6 | $32,991 | $93,810 | $117,813 |\n| Loma Rica | Yuba | 2,537 | 137.2 | $27,252 | $64,615 | $68,984 |\n| Lomita | Los Angeles | 20,539 | 10,747.8 | $28,593 | $57,245 | $66,541 |\n| Lompico | Santa Cruz | 900 | 266.7 | $56,476 | $72,215 | $98,500 |\n| Lompoc | Santa Barbara | 43,045 | 3,712.7 | $20,151 | $47,908 | $51,195 |\n| London | Tulare | 2,080 | 3,306.8 | $8,026 | $24,816 | $25,577 |\n| Lone Pine | Inyo | 2,017 | 106.0 | $21,830 | $31,838 | $39,167 |\n| Long Barn | Tuolumne | 291 | 101.1 | $20,712 | $24,388 | |\n| Long Beach | Los Angeles | 468,594 | 9,315.8 | $27,014 | $52,944 | $59,710 |\n| Lookout | Modoc | 67 | 12.6 | $17,072 | $36,635 | |\n| Loomis | Placer | 6,589 | 906.8 | $33,354 | $82,813 | $95,217 |\n| Los Alamitos | Orange | 11,598 | 2,883.6 | $36,367 | $82,258 | $89,271 |\n| Los Alamos | Santa Barbara | 1,166 | 301.4 | $36,571 | $62,429 | $60,625 |\n| Los Altos | Santa Clara | 29,762 | 4,597.2 | $84,705 | $157,500 | $190,938 |\n| Los Altos Hills | Santa Clara | 8,244 | 923.8 | $123,127 | $224,271 | |\n| Los Angeles | Los Angeles | 3,862,210 | 8,240.8 | $28,320 | $49,682 | $54,171 |\n| Los Banos | Merced | 36,626 | 3,665.2 | $17,160 | $45,665 | $46,748 |\n| Los Berros | San Luis Obispo | 908 | 361.5 | $19,596 | $60,958 | $61,979 |\n| Los Gatos | Santa Clara | 30,163 | 2,701.3 | $72,050 | $122,860 | $157,796 |\n| Los Molinos | Tehama | 2,184 | 995.4 | $18,205 | $36,466 | $42,990 |\n| Los Olivos | Santa Barbara | 913 | 371.3 | $58,133 | $89,667 | $129,875 |\n| Los Osos | San Luis Obispo | 14,778 | 1,157.9 | $34,229 | $56,860 | $72,625 |\n| Los Ranchos | San Luis Obispo | 1,676 | 592.4 | $47,842 | $96,705 | $111,296 |\n| Lost Hills | Kern | 2,194 | 395.2 | $8,418 | $31,875 | $30,125 |\n| Lower Lake | Lake | 1,620 | 607.4 | $17,614 | $31,781 | $54,028 |\n| Loyalton | Sierra | 874 | 2,462.0 | $21,614 | $43,000 | $46,375 |\n| Loyola | Santa Clara | 3,463 | 2,399.9 | $98,398 | $210,882 | $238,177 |\n| Lucas Valley-Marinwood | Marin | 6,168 | 1,077.0 | $59,579 | $129,389 | $145,491 |\n| Lucerne | Lake | 3,318 | 666.5 | $11,901 | $20,784 | $35,571 |\n| Lucerne Valley | San Bernardino | 5,767 | 54.6 | $17,984 | $34,024 | $46,383 |\n| Lynwood | Los Angeles | 70,789 | 14,625.8 | $12,580 | $41,930 | $41,332 |\n| Lytle Creek | San Bernardino | 1,127 | 187.3 | $26,927 | $71,000 | $81,048 |\n| Mabie | Plumas | 52 | 14.3 | $42,662 | | |\n| McArthur | Shasta | 308 | 307.7 | $30,152 | $42,935 | $44,348 |\n| McClellan Park | Sacramento | 1,103 | 272.9 | $13,962 | $23,977 | $24,115 |\n| McClenney Tract | Tulare | 6 | 9.7 | $7,150 | | |\n| McCloud | Siskiyou | 1,111 | 458.7 | $19,429 | $31,071 | $50,888 |\n| Macdoel | Siskiyou | 111 | 750.0 | $14,183 | $28,500 | |\n| McFarland | Kern | 12,784 | 4,791.6 | $9,518 | $34,750 | $33,549 |\n| McGee Creek | Mono | 125 | 31.2 | $93,233 | $91,860 | |\n| McKinleyville | Humboldt | 16,448 | 790.9 | $25,701 | $50,298 | $60,833 |\n| McKittrick | Kern | 112 | 42.8 | $20,728 | $43,000 | $43,500 |\n| McSwain | Merced | 4,531 | 750.4 | $35,273 | $98,519 | $106,736 |\n| Madera | Madera | 62,559 | 3,962.2 | $14,460 | $42,027 | $43,600 |\n| Madera Acres | Madera | 9,653 | 1,326.0 | $18,180 | $60,529 | $61,056 |\n| Madison | Yolo | 526 | 340.2 | $17,946 | $51,875 | $53,393 |\n| Mad River | Trinity | 398 | 11.5 | $19,148 | $34,907 | $46,875 |\n| Magalia | Butte | 11,467 | 818.2 | $20,818 | $39,514 | $43,457 |\n| Malaga | Fresno | 935 | 3,412.4 | $10,696 | $38,350 | $39,800 |\n| Malibu | Los Angeles | 12,830 | 648.3 | $95,212 | $130,432 | $169,241 |\n| Mammoth Lakes | Mono | 8,154 | 327.9 | $27,170 | $60,984 | $68,750 |\n| Manchester | Mendocino | 193 | 73.7 | $16,462 | $29,118 | $26,691 |\n| Manhattan Beach | Los Angeles | 35,534 | 9,025.7 | $81,787 | $142,071 | $177,532 |\n| Manila | Humboldt | 673 | 1,029.1 | $22,212 | $32,997 | $51,094 |\n| Manteca | San Joaquin | 70,693 | 3,440.6 | $23,806 | $62,032 | $67,043 |\n| Manton | Tehama | 341 | 19.3 | $23,833 | $31,250 | $34,750 |\n| March ARB | Riverside | 1,129 | 94.5 | $41,980 | $68,261 | $104,013 |\n| Maricopa | Kern | 1,158 | 771.0 | $17,853 | $33,750 | $43,646 |\n| Marina | Monterey | 20,198 | 2,273.8 | $24,773 | $53,828 | $63,477 |\n| Marina del Rey | Los Angeles | 9,157 | 10,647.7 | $71,023 | $101,860 | $105,762 |\n| Marin City | Marin | 2,958 | 5,508.4 | $25,543 | $39,872 | $41,917 |\n| Mariposa | Mariposa | 1,524 | 501.8 | $18,842 | $34,881 | $41,422 |\n| Markleeville | Alpine | 268 | 41.0 | $33,723 | $70,511 | $71,591 |\n| Martell | Amador | 94 | 40.2 | $28,057 | $13,508 | |\n| Martinez | Contra Costa | 36,876 | 2,919.5 | $39,701 | $85,736 | $100,577 |\n| Marysville | Yuba | 12,144 | 3,505.8 | $18,146 | $34,942 | $45,274 |\n| Matheny | Tulare | 1,098 | 2,565.4 | $14,644 | $31,208 | $31,250 |\n| Mather | Sacramento | 4,806 | 479.4 | $30,130 | $86,705 | $88,452 |\n| Maxwell | Colusa | 1,076 | 500.5 | $19,794 | $44,625 | $55,833 |\n| Mayfair | Fresno | 4,512 | 8,710.4 | $14,620 | $40,625 | $47,278 |\n| Mayflower Village | Los Angeles | 5,779 | 8,411.9 | $30,295 | $72,034 | $83,885 |\n| Maywood | Los Angeles | 27,703 | 23,517.0 | $11,656 | $36,492 | $37,342 |\n| Meadowbrook | Riverside | 3,447 | 502.5 | $13,817 | $34,815 | $36,964 |\n| Meadow Valley | Plumas | 435 | 51.1 | $33,823 | $51,944 | $85,500 |\n| Meadow Vista | Placer | 3,072 | 581.7 | $37,474 | $71,007 | $87,026 |\n| Mead Valley | Riverside | 19,851 | 1,034.1 | $14,010 | $41,962 | $44,475 |\n| Mecca | Riverside | 8,912 | 1,280.6 | $8,504 | $26,473 | $27,265 |\n| Meiners Oaks | Ventura | 3,634 | 2,581.0 | $29,168 | $70,430 | $81,154 |\n| Mendocino | Mendocino | 826 | 366.0 | $42,196 | $51,917 | $104,732 |\n| Mendota | Fresno | 11,360 | 3,446.6 | $8,642 | $25,229 | $26,250 |\n| Menifee | Riverside | 81,658 | 1,757.1 | $23,165 | $56,671 | $64,431 |\n| Menlo Park | San Mateo | 32,792 | 3,354.7 | $69,802 | $115,650 | $156,439 |\n| Mentone | San Bernardino | 9,388 | 1,524.0 | $23,376 | $55,682 | $62,476 |\n| Merced | Merced | 80,490 | 3,465.5 | $17,623 | $38,917 | $43,809 |\n| Meridian | Sutter | 438 | 82.7 | $28,966 | $50,000 | $82,692 |\n| Mesa | Inyo | 442 | 126.2 | $37,789 | $82,266 | $97,500 |\n| Mesa Verde | Riverside | 1,004 | 231.2 | $13,468 | $37,891 | $34,583 |\n| Mesa Vista | Alpine | 212 | 43.5 | $25,200 | $61,364 | $79,063 |\n| Mettler | Kern | 88 | 377.7 | $15,591 | $42,917 | $51,250 |\n| Mexican Colony | Kern | 216 | 6,750.0 | $7,247 | $17,375 | $15,500 |\n| Middletown | Lake | 1,073 | 581.9 | $29,725 | $48,965 | $100,625 |\n| Midpines | Mariposa | 689 | 28.1 | $36,067 | $41,063 | $40,469 |\n| Midway City | Orange | 9,104 | 15,023.1 | $18,658 | $45,581 | $51,882 |\n| Milford | Lassen | 116 | 21.9 | $42,773 | $64,961 | $64,961 |\n| Millbrae | San Mateo | 22,177 | 6,823.7 | $43,518 | $91,846 | $106,051 |\n| Mill Valley | Marin | 14,178 | 2,976.7 | $87,627 | $132,192 | $167,061 |\n| Millville | Shasta | 861 | 107.0 | $26,947 | $59,375 | $66,818 |\n| Milpitas | Santa Clara | 69,346 | 5,106.1 | $34,237 | $99,072 | $102,005 |\n| Mineral | Tehama | 222 | 5.0 | $32,623 | $52,500 | $70,000 |\n| Minkler | Fresno | 1,066 | 181.8 | $36,435 | $81,339 | $128,482 |\n| Mira Monte | Ventura | 7,306 | 1,598.7 | $39,022 | $70,905 | $96,250 |\n| Miranda | Humboldt | 536 | 358.8 | $30,378 | $50,144 | $36,250 |\n| Mission Canyon | Santa Barbara | 2,531 | 1,668.4 | $56,986 | $112,717 | $128,438 |\n| Mission Hills | Santa Barbara | 3,415 | 2,778.7 | $36,137 | $81,250 | $84,119 |\n| Mission Viejo | Orange | 95,246 | 5,403.4 | $41,513 | $98,157 | $110,723 |\n| Mi-Wuk Village | Tuolumne | 1,069 | 384.8 | $26,306 | $49,458 | $63,036 |\n| Modesto | Stanislaus | 205,984 | 4,619.8 | $23,034 | $47,607 | $55,289 |\n| Mohawk Vista | Plumas | 109 | 9.1 | $75,039 | $58,500 | |\n| Mojave | Kern | 4,172 | 71.6 | $15,847 | $34,500 | $40,484 |\n| Mokelumne Hill | Calaveras | 635 | 206.2 | $39,304 | $62,396 | $80,250 |\n| Monmouth | Fresno | 184 | 597.4 | $15,705 | $34,500 | $44,861 |\n| Mono City | Mono | 67 | 12.4 | $11,106 | $31,500 | |\n| Mono Vista | Tuolumne | 1,979 | 697.8 | $24,568 | $46,250 | $49,412 |\n| Monrovia | Los Angeles | 37,035 | 2,722.2 | $34,668 | $72,034 | $86,034 |\n| Monson | Tulare | 191 | 388.2 | $14,281 | $41,667 | $83,083 |\n| Montague | Siskiyou | 1,504 | 845.9 | $20,433 | $42,500 | $54,545 |\n| Montalvin Manor | Contra Costa | 3,055 | 9,487.6 | $22,652 | $64,778 | $73,864 |\n| Montara | San Mateo | 2,880 | 742.7 | $49,203 | $147,568 | $148,273 |\n| Montclair | San Bernardino | 37,685 | 6,830.7 | $17,881 | $48,767 | $51,184 |\n| Montebello | Los Angeles | 63,353 | 7,602.7 | $20,972 | $47,562 | $55,720 |\n| Montecito | Santa Barbara | 9,444 | 1,010.5 | $83,226 | $130,129 | $160,417 |\n| Monterey | Monterey | 28,053 | 3,227.5 | $36,812 | $64,772 | $80,615 |\n| Monterey Park | Los Angeles | 60,966 | 7,950.7 | $24,637 | $54,821 | $60,209 |\n| Monterey Park Tract | Stanislaus | 273 | 5,808.5 | $13,645 | $90,134 | |\n| Monte Rio | Sonoma | 1,031 | 541.5 | $27,032 | $33,681 | $63,854 |\n| Monte Sereno | Santa Clara | 3,462 | 2,117.4 | $105,597 | $187,115 | $238,606 |\n| Montgomery Creek | Shasta | 123 | 37.8 | $27,628 | $62,708 | $62,917 |\n| Monument Hills | Yolo | 1,469 | 364.7 | $47,489 | $112,344 | $112,422 |\n| Moorpark | Ventura | 35,033 | 2,785.0 | $37,016 | $99,353 | $108,628 |\n| Morada | San Joaquin | 4,573 | 1,534.0 | $35,079 | $61,270 | $71,534 |\n| Moraga | Contra Costa | 16,549 | 1,748.4 | $60,576 | $132,651 | $163,951 |\n| Moreno Valley | Riverside | 198,872 | 3,878.5 | $17,874 | $54,229 | $55,265 |\n| Morgan Hill | Santa Clara | 39,875 | 3,127.7 | $40,972 | $96,232 | $108,037 |\n| Morongo Valley | San Bernardino | 3,605 | 142.9 | $21,607 | $32,295 | $44,787 |\n| Morro Bay | San Luis Obispo | 10,383 | 1,957.9 | $32,613 | $50,914 | $66,378 |\n| Moskowite Corner | Napa | 172 | 61.2 | $20,858 | $49,286 | $53,750 |\n| Moss Beach | San Mateo | 3,435 | 1,530.7 | $42,240 | $81,622 | $107,083 |\n| Moss Landing | Monterey | 200 | 502.5 | $17,855 | $30,500 | $37,857 |\n| Mountain Center | Riverside | 75 | 39.8 | $10,727 | | |\n| Mountain Gate | Shasta | 1,153 | 582.6 | $18,037 | $33,906 | $53,750 |\n| Mountain House | San Joaquin | 12,088 | 3,785.8 | $29,092 | $106,119 | $108,750 |\n| Mountain Mesa | Kern | 454 | 546.3 | $18,583 | $38,250 | $39,313 |\n| Mountain Ranch | Calaveras | 1,369 | 33.2 | $27,714 | $38,630 | $57,243 |\n| Mountain View | Contra Costa | 2,299 | 7,927.6 | $27,903 | $43,077 | $38,400 |\n| Mountain View | Santa Clara | 76,741 | 6,398.8 | $56,156 | $100,028 | $119,081 |\n| Mountain View Acres | San Bernardino | 3,502 | 2,229.2 | $18,119 | $55,673 | $56,521 |\n| Mount Hebron | Siskiyou | 88 | 123.4 | $9,728 | $25,368 | $26,397 |\n| Mount Hermon | Santa Cruz | 1,027 | 1,575.2 | $31,268 | $48,549 | $65,893 |\n| Mount Laguna | San Diego | 12 | 7.1 | | | |\n| Mount Shasta | Siskiyou | 3,331 | 884.5 | $31,179 | $43,969 | $66,667 |\n| Muir Beach | Marin | 292 | 592.3 | $86,269 | $161,458 | $178,333 |\n| Murphys | Calaveras | 1,884 | 182.5 | $35,424 | $46,885 | $62,330 |\n| Murrieta | Riverside | 106,326 | 3,166.3 | $28,719 | $74,401 | $79,996 |\n| Muscoy | San Bernardino | 11,674 | 3,714.3 | $9,951 | $35,660 | $37,012 |\n| Myers Flat | Humboldt | 57 | 131.9 | | | |\n| Myrtletown | Humboldt | 5,225 | 2,489.3 | $28,725 | $61,534 | $73,558 |\n| Napa | Napa | 78,511 | 4,397.1 | $31,185 | $64,058 | $74,981 |\n| National City | San Diego | 59,543 | 8,180.1 | $17,143 | $39,517 | $42,531 |\n| Needles | San Bernardino | 4,923 | 159.7 | $19,001 | $33,045 | $42,031 |\n| Nevada City | Nevada | 3,051 | 1,394.4 | $35,087 | $51,685 | $51,997 |\n| Newark | Alameda | 43,635 | 3,144.9 | $31,825 | $86,521 | $91,103 |\n| Newcastle | Placer | 1,409 | 589.0 | $26,616 | $45,865 | $71,912 |\n| New Cuyama | Santa Barbara | 591 | 837.1 | $14,149 | $34,000 | $45,625 |\n| Newell | Modoc | 429 | 178.2 | $6,580 | $23,182 | $23,466 |\n| Newman | Stanislaus | 10,553 | 5,239.8 | $16,012 | $43,722 | $46,780 |\n| New Pine Creek | Modoc | 84 | 36.8 | $35,398 | $31,023 | |\n| Newport Beach | Orange | 86,594 | 3,641.8 | $78,012 | $107,991 | $153,709 |\n| Nicasio | Marin | 95 | 72.8 | $39,938 | $96,500 | $96,000 |\n| Nice | Lake | 2,156 | 1,247.7 | $20,164 | $24,149 | $36,325 |\n| Nicolaus | Sutter | 205 | 65.3 | $50,181 | $85,625 | $100,417 |\n| Niland | Imperial | 1,063 | 2,644.3 | $15,828 | $17,461 | $27,854 |\n| Nipinnawasee | Madera | 729 | 236.3 | $23,511 | $66,397 | $66,544 |\n| Nipomo | San Luis Obispo | 17,115 | 1,152.3 | $27,705 | $57,185 | $68,900 |\n| Norco | Riverside | 27,143 | 1,970.2 | $27,702 | $85,142 | $96,631 |\n| Nord | Butte | 239 | 113.5 | $18,961 | $31,923 | $76,250 |\n| Norris Canyon | Contra Costa | 1,227 | 346.8 | $59,374 | $196,726 | $205,625 |\n| North Auburn | Placer | 14,011 | 1,793.8 | $25,077 | $48,052 | $60,637 |\n| North Edwards | Kern | 966 | 75.8 | $21,833 | $45,658 | $53,241 |\n| North El Monte | Los Angeles | 3,924 | 9,276.6 | $28,164 | $69,960 | $75,426 |\n| North Fair Oaks | San Mateo | 15,181 | 12,650.8 | $26,426 | $63,343 | $53,176 |\n| North Gate | Contra Costa | 417 | 633.7 | $52,891 | $96,333 | $96,250 |\n| North Highlands | Sacramento | 44,899 | 5,087.7 | $17,401 | $40,986 | $43,243 |\n| North Lakeport | Lake | 2,676 | 696.0 | $28,998 | $52,577 | $60,625 |\n| North Richmond | Contra Costa | 3,926 | 2,788.4 | $16,194 | $35,288 | $45,703 |\n| North San Juan | Nevada | 281 | 116.0 | $14,102 | $27,417 | $28,250 |\n| North Shore | Riverside | 3,184 | 284.9 | $9,434 | $24,853 | $30,147 |\n| North Tustin | Orange | 25,724 | 3,891.1 | $59,863 | $123,270 | $140,609 |\n| Norwalk | Los Angeles | 106,455 | 10,964.6 | $19,584 | $60,523 | $63,688 |\n| Novato | Marin | 53,451 | 1,947.7 | $44,724 | $76,609 | $97,081 |\n| Nubieber | Lassen | 15 | 20.0 | $19,160 | | |\n| Nuevo | Riverside | 7,345 | 1,084.8 | $19,329 | $59,464 | $64,185 |\n| Oakdale | Stanislaus | 21,260 | 3,517.0 | $24,832 | $53,785 | $60,861 |\n| Oak Glen | San Bernardino | 694 | 46.7 | $24,589 | $66,923 | $73,750 |\n| Oak Hills | San Bernardino | 10,308 | 422.6 | $26,761 | $74,257 | $82,961 |\n| Oakhurst | Madera | 2,482 | 413.9 | $21,563 | $39,709 | $46,484 |\n| Oakland | Alameda | 402,339 | 7,198.4 | $32,566 | $52,962 | $60,472 |\n| Oakley | Contra Costa | 37,391 | 2,355.6 | $27,993 | $78,597 | $83,803 |\n| Oak Park | Ventura | 14,512 | 2,742.8 | $57,470 | $117,326 | $134,178 |\n| Oak Shores | San Luis Obispo | 147 | 29.0 | $61,129 | $81,964 | $86,364 |\n| Oak View | Ventura | 4,347 | 2,215.6 | $32,723 | $72,137 | $79,375 |\n| Oakville | Napa | 59 | 43.4 | $9,415 | | |\n| Oasis | Riverside | 5,807 | 295.8 | $7,512 | $24,293 | $24,148 |\n| Occidental | Sonoma | 1,155 | 232.6 | $54,705 | $70,172 | $86,083 |\n| Oceano | San Luis Obispo | 7,355 | 4,800.9 | $20,725 | $48,629 | $46,545 |\n| Oceanside | San Diego | 171,400 | 4,155.0 | $27,009 | $58,385 | $68,203 |\n| Ocotillo | Imperial | 221 | 25.0 | $6,672 | $21,397 | |\n| Oildale | Kern | 33,879 | 5,185.8 | $17,773 | $33,818 | $35,843 |\n| Ojai | Ventura | 7,558 | 1,738.3 | $35,231 | $60,714 | $90,000 |\n| Olancha | Inyo | 287 | 36.6 | $26,673 | $41,974 | $94,583 |\n| Old Fig Garden | Fresno | 5,186 | 3,139.2 | $41,348 | $63,358 | $78,060 |\n| Old Station | Shasta | 52 | 23.4 | $15,327 | | |\n| Olivehurst | Yuba | 13,928 | 1,867.0 | $15,357 | $43,044 | $44,394 |\n| Ontario | San Bernardino | 166,892 | 3,342.3 | $18,601 | $54,156 | $56,017 |\n| Onyx | Kern | 599 | 52.3 | $16,946 | $27,991 | $29,330 |\n| Orange | Orange | 138,980 | 5,480.7 | $31,330 | $77,086 | $85,123 |\n| Orange Cove | Fresno | 9,473 | 5,286.3 | $9,734 | $27,450 | $27,868 |\n| Orangevale | Sacramento | 34,449 | 2,991.4 | $31,241 | $65,288 | $80,068 |\n| Orcutt | Santa Barbara | 30,266 | 2,720.5 | $32,246 | $71,830 | $81,016 |\n| Orick | Humboldt | 281 | 59.2 | $34,279 | $32,656 | $49,583 |\n| Orinda | Contra Costa | 18,390 | 1,430.8 | $84,985 | $166,866 | $213,021 |\n| Orland | Glenn | 7,451 | 2,557.0 | $16,179 | $38,425 | $45,858 |\n| Orosi | Tulare | 8,620 | 3,524.1 | $10,342 | $34,464 | $33,819 |\n| Oroville | Butte | 16,015 | 1,209.9 | $18,777 | $36,581 | $42,551 |\n| Oroville East | Butte | 8,782 | 400.4 | $24,851 | $52,944 | $67,920 |\n| Oxnard | Ventura | 201,744 | 7,499.5 | $20,651 | $62,349 | $62,165 |\n| Pacheco | Contra Costa | 4,295 | 5,796.2 | $30,011 | $48,024 | $53,083 |\n| Pacifica | San Mateo | 38,283 | 3,023.5 | $44,886 | $96,875 | $113,750 |\n| Pacific Grove | Monterey | 15,365 | 5,376.1 | $46,690 | $70,230 | $93,302 |\n| Pajaro | Monterey | 2,957 | 3,189.9 | $8,779 | $29,179 | $29,643 |\n| Pajaro Dunes | Santa Cruz | 269 | 105.0 | $59,635 | $67,250 | $67,000 |\n| Palermo | Butte | 5,419 | 185.8 | $21,349 | $42,371 | $55,612 |\n| Palmdale | Los Angeles | 155,810 | 1,470.4 | $19,438 | $54,921 | $56,351 |\n| Palm Desert | Riverside | 49,953 | 1,863.3 | $39,275 | $52,053 | $68,893 |\n| Palm Springs | Riverside | 45,827 | 487.3 | $36,126 | $45,497 | $55,320 |\n| Palo Alto | Santa Clara | 65,998 | 2,764.5 | $75,257 | $126,771 | $167,440 |\n| Palo Cedro | Shasta | 1,626 | 442.0 | $35,654 | $81,000 | $84,643 |\n| Palos Verdes Estates | Los Angeles | 13,568 | 2,842.1 | $87,408 | $171,328 | $203,241 |\n| Palo Verde | Imperial | 17 | 28.8 | | | |\n| Panorama Heights | Tulare | 38 | 80.0 | $22,153 | $22,500 | $41,250 |\n| Paradise | Butte | 26,246 | 1,432.8 | $24,573 | $41,482 | $56,119 |\n| Paradise | Mono | 235 | 54.0 | $35,874 | $48,864 | $80,000 |\n| Paradise Park | Santa Cruz | 542 | 1,942.7 | $39,762 | $62,125 | $66,875 |\n| Paramount | Los Angeles | 54,813 | 11,588.4 | $14,168 | $43,784 | $43,997 |\n| Parklawn | Stanislaus | 1,191 | 7,174.7 | $13,110 | $42,105 | $43,606 |\n| Parksdale | Madera | 3,114 | 1,719.5 | $8,111 | $30,069 | $29,604 |\n| Parkway | Sacramento | 14,756 | 6,102.6 | $15,622 | $33,959 | $34,570 |\n| Parkwood | Madera | 2,879 | 4,124.6 | $10,280 | $31,908 | $27,438 |\n| Parlier | Fresno | 14,750 | 6,452.3 | $11,039 | $31,832 | $30,729 |\n| Pasadena | Los Angeles | 139,065 | 6,050.8 | $41,268 | $70,845 | $88,600 |\n| Pasatiempo | Santa Cruz | 1,016 | 1,149.3 | $98,473 | $175,536 | $183,457 |\n| Paskenta | Tehama | 52 | 48.1 | $15,448 | $36,250 | $42,750 |\n| Patterson | Stanislaus | 20,736 | 3,482.7 | $18,774 | $54,422 | $58,184 |\n| Patterson Tract | Tulare | 2,041 | 1,411.5 | $15,433 | $37,688 | $39,500 |\n| Patton Village | Lassen | 592 | 178.2 | $26,548 | $46,477 | $47,386 |\n| Paxton | Plumas | 0 | 0.0 | | | |\n| Paynes Creek | Tehama | 41 | 12.0 | $28,341 | $44,375 | $93,125 |\n| Pearsonville | Inyo | 23 | 5.6 | $26,096 | | |\n| Penngrove | Sonoma | 2,928 | 727.6 | $49,672 | $73,430 | $104,271 |\n| Penn Valley | Nevada | 1,599 | 753.9 | $20,243 | $43,750 | $58,553 |\n| Penryn | Placer | 946 | 518.4 | $37,080 | $80,213 | $78,315 |\n| Perris | Riverside | 71,377 | 2,273.6 | $13,516 | $48,591 | $48,265 |\n| Pescadero | San Mateo | 1,046 | 259.8 | $24,750 | $61,161 | $57,656 |\n| Petaluma | Sonoma | 58,912 | 4,096.2 | $35,239 | $80,590 | $89,400 |\n| Peters | San Joaquin | 523 | 207.0 | $56,941 | $116,616 | $117,195 |\n| Phelan | San Bernardino | 12,947 | 215.4 | $22,355 | $53,093 | $59,804 |\n| Phillipsville | Humboldt | 77 | 107.7 | $27,396 | $23,860 | |\n| Philo | Mendocino | 317 | 155.6 | $11,234 | $16,667 | $29,333 |\n| Phoenix Lake | Tuolumne | 4,712 | 427.9 | $34,735 | $75,434 | $92,652 |\n| Pico Rivera | Los Angeles | 63,698 | 7,678.2 | $18,643 | $56,576 | $62,987 |\n| Piedmont | Alameda | 10,957 | 6,445.3 | $101,794 | $212,222 | $247,171 |\n| Pierpoint | Tulare | 23 | 56.4 | | | |\n| Pike | Sierra | 126 | 29.2 | $23,885 | $35,714 | $35,000 |\n| Pine Canyon | Monterey | 2,243 | 672.4 | $26,633 | $46,683 | $47,043 |\n| Pine Flat | Tulare | 130 | 111.9 | $26,923 | $30,625 | $62,143 |\n| Pine Grove | Amador | 1,865 | 267.7 | $30,314 | $48,571 | $64,375 |\n| Pine Hills | Humboldt | 3,160 | 312.3 | $32,080 | $52,438 | $56,406 |\n| Pine Mountain Club | Kern | 1,890 | 112.1 | $34,312 | $45,911 | $57,872 |\n| Pine Mountain Lake | Tuolumne | 2,422 | 127.7 | $31,321 | $51,604 | $59,848 |\n| Pine Valley | San Diego | 1,554 | 217.3 | $35,479 | $100,085 | $100,557 |\n| Pinole | Contra Costa | 18,754 | 3,641.6 | $34,219 | $74,379 | $82,679 |\n| Piñon Hills | San Bernardino | 6,654 | 207.2 | $25,501 | $42,210 | $57,723 |\n| Pioneer | Amador | 1,237 | 287.3 | $35,596 | $42,614 | $75,104 |\n| Piru | Ventura | 2,078 | 736.9 | $17,001 | $46,601 | $47,281 |\n| Pismo Beach | San Luis Obispo | 7,789 | 2,164.2 | $37,657 | $67,500 | $88,041 |\n| Pittsburg | Contra Costa | 65,761 | 3,826.0 | $23,330 | $60,376 | $64,521 |\n| Pixley | Tulare | 3,769 | 1,210.3 | $9,889 | $28,179 | $29,702 |\n| Placentia | Orange | 51,860 | 7,840.9 | $30,218 | $79,275 | $87,403 |\n| Placerville | El Dorado | 10,415 | 1,792.0 | $24,801 | $46,199 | $59,158 |\n| Plainview | Tulare | 858 | 2,776.7 | $6,873 | $25,938 | $26,042 |\n| Planada | Merced | 4,465 | 2,831.3 | $13,072 | $35,690 | $36,056 |\n| Pleasant Hill | Contra Costa | 33,842 | 4,782.6 | $43,580 | $81,556 | $108,900 |\n| Pleasanton | Alameda | 73,164 | 2,995.2 | $50,972 | $123,608 | $140,311 |\n| Pleasure Point | Santa Cruz | 6,004 | 7,973.4 | $38,471 | $57,462 | $60,078 |\n| Plumas Eureka | Plumas | 265 | 66.7 | $56,948 | $63,611 | $63,472 |\n| Plumas Lake | Yuba | 6,380 | 760.9 | $24,080 | $78,333 | $75,400 |\n| Plymouth | Amador | 1,185 | 1,272.8 | $20,681 | $44,531 | $56,042 |\n| Point Arena | Mendocino | 405 | 300.0 | $18,534 | $30,000 | $47,500 |\n| Point Reyes Station | Marin | 848 | 234.5 | $39,984 | $36,597 | $88,098 |\n| Pollock Pines | El Dorado | 6,540 | 824.9 | $31,164 | $49,044 | $57,396 |\n| Pomona | Los Angeles | 151,142 | 6,585.1 | $17,041 | $48,993 | $50,475 |\n| Ponderosa | Tulare | 100 | 123.0 | $61,992 | | |\n| Poplar-Cotton Center | Tulare | 2,764 | 2,154.3 | $9,980 | $21,434 | $21,500 |\n| Port Costa | Contra Costa | 302 | 1,911.4 | $54,767 | $94,018 | $88,859 |\n| Porterville | Tulare | 54,949 | 3,120.7 | $17,330 | $41,267 | $43,657 |\n| Port Hueneme | Ventura | 21,949 | 4,931.3 | $22,352 | $52,826 | $54,966 |\n| Portola | Plumas | 2,710 | 501.2 | $21,747 | $34,134 | $36,375 |\n| Portola Valley | San Mateo | 4,478 | 492.2 | $152,128 | $182,381 | |\n| Posey | Tulare | 8 | 22.4 | $15,638 | | |\n| Poso Park | Tulare | 4 | 90.9 | | | |\n| Potrero | San Diego | 693 | 220.1 | $12,354 | $29,554 | $37,878 |\n| Potter Valley | Mendocino | 509 | 126.3 | $24,767 | $64,500 | $91,442 |\n| Poway | San Diego | 49,040 | 1,254.9 | $40,681 | $96,315 | $109,110 |\n| Prattville | Plumas | 12 | 19.9 | | | |\n| Princeton | Colusa | 232 | 126.4 | $29,977 | $63,929 | $75,938 |\n| Proberta | Tehama | 280 | 195.7 | $24,271 | $34,477 | $33,727 |\n| Prunedale | Monterey | 18,574 | 403.3 | $29,138 | $72,933 | $79,802 |\n| Quartz Hill | Los Angeles | 11,002 | 2,923.7 | $24,681 | $53,929 | $61,990 |\n| Quincy | Plumas | 1,439 | 340.8 | $27,394 | $46,875 | $67,708 |\n| Rackerby | Butte | 139 | 47.1 | $25,837 | $48,125 | $53,750 |\n| Rail Road Flat | Calaveras | 369 | 11.2 | $20,788 | $29,922 | $34,145 |\n| Rainbow | San Diego | 1,678 | 152.0 | $30,720 | $54,408 | $76,250 |\n| Raisin City | Fresno | 232 | 305.3 | $10,661 | $18,750 | $12,143 |\n| Ramona | San Diego | 21,578 | 561.8 | $24,863 | $62,919 | $69,171 |\n| Rancho Calaveras | Calaveras | 5,736 | 684.8 | $24,281 | $56,607 | $62,371 |\n| Rancho Cordova | Sacramento | 67,167 | 1,927.2 | $24,462 | $53,563 | $58,979 |\n| Rancho Cucamonga | San Bernardino | 170,170 | 4,268.8 | $31,528 | $77,061 | $88,529 |\n| Rancho Mirage | Riverside | 17,634 | 720.8 | $62,814 | $71,688 | $99,677 |\n| Rancho Murieta | Sacramento | 5,804 | 488.3 | $53,085 | $103,750 | $116,284 |\n| Rancho Palos Verdes | Los Angeles | 42,282 | 3,140.1 | $57,201 | $120,697 | $137,506 |\n| Rancho San Diego | San Diego | 21,514 | 2,472.6 | $38,339 | $80,591 | $92,779 |\n| Rancho Santa Fe | San Diego | 2,838 | 422.6 | $68,119 | $101,250 | $132,054 |\n| Rancho Santa Margarita | Orange | 48,758 | 3,780.6 | $42,768 | $104,952 | $120,863 |\n| Rancho Tehama Reserve | Tehama | 2,300 | 197.6 | $14,720 | $26,046 | $23,787 |\n| Randsburg | Kern | 128 | 67.2 | $27,320 | $26,813 | |\n| Red Bluff | Tehama | 14,069 | 1,860.2 | $16,505 | $32,393 | $37,926 |\n| Red Corral | Amador | 1,601 | 274.0 | $23,210 | $30,431 | $65,469 |\n| Redcrest | Humboldt | 52 | 87.0 | $17,604 | $28,750 | $21,875 |\n| Redding | Shasta | 90,725 | 1,521.0 | $23,893 | $43,773 | $56,506 |\n| Redlands | San Bernardino | 69,787 | 1,936.9 | $31,745 | $67,112 | $85,484 |\n| Redondo Beach | Los Angeles | 67,511 | 10,892.4 | $52,775 | $103,064 | $123,561 |\n| Redway | Humboldt | 1,132 | 904.9 | $19,209 | $37,882 | $50,758 |\n| Redwood City | San Mateo | 79,736 | 4,099.1 | $42,063 | $81,955 | $98,149 |\n| Redwood Valley | Mendocino | 1,814 | 663.0 | $22,656 | $78,340 | $72,577 |\n| Reedley | Fresno | 24,858 | 4,839.0 | $16,966 | $46,002 | $45,891 |\n| Reliez Valley | Contra Costa | 3,677 | 1,558.7 | $77,832 | $126,458 | $131,161 |\n| Rialto | San Bernardino | 101,367 | 4,536.9 | $16,206 | $50,277 | $52,595 |\n| Richfield | Tehama | 278 | 496.4 | $25,302 | $42,500 | $46,000 |\n| Richgrove | Tulare | 3,006 | 6,650.4 | $8,827 | $29,792 | $29,750 |\n| Richmond | Contra Costa | 106,469 | 3,542.8 | $25,769 | $54,857 | $59,976 |\n| Richvale | Butte | 86 | 92.8 | $131,735 | $77,734 | |\n| Ridgecrest | Kern | 28,282 | 1,361.9 | $27,954 | $61,480 | $70,645 |\n| Ridgemark | San Benito | 3,471 | 1,350.6 | $44,974 | $100,690 | $117,672 |\n| Rio Dell | Humboldt | 3,373 | 1,478.7 | $25,645 | $39,692 | $40,733 |\n| Rio del Mar | Santa Cruz | 9,240 | 3,080.0 | $53,990 | $95,938 | $125,740 |\n| Rio Linda | Sacramento | 14,581 | 1,470.0 | $21,131 | $50,873 | $55,063 |\n| Rio Oso | Sutter | 428 | 65.6 | $32,343 | $66,250 | $90,500 |\n| Rio Vista | Solano | 7,646 | 1,152.2 | $33,919 | $62,616 | $70,045 |\n| Ripley | Riverside | 659 | 387.4 | $10,612 | $16,522 | $17,917 |\n| Ripon | San Joaquin | 14,645 | 2,760.6 | $32,213 | $75,420 | $88,176 |\n| Riverbank | Stanislaus | 23,310 | 5,696.5 | $20,646 | $59,183 | $62,366 |\n| Riverdale | Fresno | 3,881 | 988.8 | $12,580 | $48,350 | $44,356 |\n| Riverdale Park | Stanislaus | 922 | 641.6 | $9,263 | $26,838 | $25,392 |\n| River Pines | Amador | 309 | 844.3 | $12,511 | $48,285 | |\n| Riverside | Riverside | 313,041 | 3,856.2 | $22,212 | $56,089 | $63,418 |\n| Robbins | Sutter | 355 | 136.9 | $19,788 | $38,158 | $42,750 |\n| Robinson Mill | Butte | 0 | 0.0 | | | |\n| Rocklin | Placer | 59,002 | 3,018.8 | $35,200 | $79,274 | $91,946 |\n| Rodeo | Contra Costa | 9,648 | 2,575.5 | $27,318 | $68,701 | $78,949 |\n| Rodriguez Camp | Tulare | 192 | 730.0 | $4,581 | $27,596 | $28,365 |\n| Rohnert Park | Sonoma | 41,352 | 5,904.9 | $27,021 | $57,557 | $71,590 |\n| Rolling Hills | Los Angeles | 1,689 | 564.7 | $117,241 | $218,583 | $227,250 |\n| Rolling Hills | Madera | 921 | 1,555.7 | $37,133 | $100,774 | $114,107 |\n| Rolling Hills Estates | Los Angeles | 8,184 | 2,293.1 | $66,681 | $136,477 | $154,043 |\n| Rollingwood | Contra Costa | 2,832 | 16,658.8 | $14,782 | $48,974 | $51,250 |\n| Romoland | Riverside | 1,682 | 636.2 | $16,795 | $61,232 | $60,540 |\n| Rosamond | Kern | 18,658 | 358.0 | $21,792 | $59,099 | $61,613 |\n| Rosedale | Kern | 14,826 | 502.2 | $42,818 | $111,273 | $121,866 |\n| Rose Hills | Los Angeles | 3,260 | 7,426.0 | $44,614 | $94,764 | $108,438 |\n| Roseland | Sonoma | 5,556 | 5,885.6 | $20,167 | $53,364 | $55,677 |\n| Rosemead | Los Angeles | 54,457 | 10,549.6 | $17,129 | $44,524 | $44,868 |\n| Rosemont | Sacramento | 22,824 | 5,249.3 | $24,417 | $54,384 | $59,959 |\n| Roseville | Placer | 124,250 | 2,943.5 | $34,514 | $76,712 | $94,461 |\n| Ross | Marin | 2,227 | 1,431.2 | $95,706 | $186,477 | $200,833 |\n| Rossmoor | Orange | 10,816 | 7,009.7 | $52,267 | $114,239 | $135,833 |\n| Rough and Ready | Nevada | 1,195 | 376.6 | $22,190 | $42,268 | $75,978 |\n| Round Mountain | Shasta | 126 | 75.1 | $28,929 | $22,115 | $34,688 |\n| Round Valley | Inyo | 436 | 31.6 | $21,687 | $45,833 | $55,625 |\n| Rouse | Stanislaus | 1,757 | 7,382.4 | $9,395 | $23,618 | $23,026 |\n| Rowland Heights | Los Angeles | 51,597 | 3,946.2 | $25,845 | $61,375 | $64,678 |\n| Running Springs | San Bernardino | 4,833 | 1,149.6 | $28,253 | $69,412 | $80,905 |\n| Ruth | Trinity | 164 | 4.2 | $19,787 | $24,028 | $76,250 |\n| Rutherford | Napa | 219 | 130.4 | $35,604 | $62,024 | $102,222 |\n| Sacramento | Sacramento | 476,075 | 4,861.7 | $26,060 | $50,013 | $57,200 |\n| St. Helena | Napa | 5,895 | 1,182.1 | $47,794 | $78,421 | $95,000 |\n| Salida | Stanislaus | 14,509 | 2,694.3 | $22,428 | $72,872 | $80,594 |\n| Salinas | Monterey | 154,077 | 6,525.9 | $17,810 | $49,728 | $51,426 |\n| Salmon Creek | Sonoma | 59 | 53.0 | $34,354 | $34,783 | |\n| Salton City | Imperial | 3,867 | 180.4 | $16,319 | $33,906 | $35,320 |\n| Salton Sea Beach | Imperial | 757 | 2,515.0 | $13,722 | $19,934 | $26,944 |\n| Samoa | Humboldt | 305 | 364.4 | $23,614 | $52,778 | $49,464 |\n| San Andreas | Calaveras | 2,829 | 337.7 | $22,518 | $40,613 | $50,500 |\n| San Anselmo | Marin | 12,527 | 4,679.5 | $56,821 | $100,681 | $122,857 |\n| San Antonio Heights | San Bernardino | 3,097 | 1,260.0 | $57,021 | $95,250 | $109,766 |\n| San Ardo | Monterey | 647 | 1,441.0 | $12,899 | $42,333 | $50,438 |\n| San Bernardino | San Bernardino | 213,044 | 3,463.7 | $14,759 | $38,774 | $40,305 |\n| San Bruno | San Mateo | 42,090 | 7,707.4 | $35,866 | $81,420 | $89,805 |\n| San Buenaventura (Ventura) | Ventura | 108,449 | 4,971.1 | $33,180 | $66,485 | $81,446 |\n| San Carlos | San Mateo | 29,166 | 5,278.0 | $62,548 | $125,747 | $158,853 |\n| San Clemente | Orange | 64,673 | 3,523.3 | $48,063 | $91,749 | $113,018 |\n| Sand City | Monterey | 355 | 631.7 | $25,884 | $34,659 | $34,750 |\n| San Diego | San Diego | 1,341,510 | 4,125.3 | $33,789 | $65,753 | $78,414 |\n| San Diego Country Estates | San Diego | 10,191 | 604.8 | $36,448 | $100,849 | $103,806 |\n| San Dimas | Los Angeles | 33,896 | 2,254.2 | $35,345 | $78,911 | $92,140 |\n| San Fernando | Los Angeles | 24,050 | 10,130.6 | $17,766 | $55,044 | $56,482 |\n| San Francisco | San Francisco | 829,072 | 17,680.1 | $49,986 | $78,378 | $93,391 |\n| San Gabriel | Los Angeles | 40,173 | 9,691.9 | $25,047 | $56,238 | $62,144 |\n| Sanger | Fresno | 24,587 | 4,298.4 | $16,620 | $42,094 | $50,206 |\n| San Geronimo | Marin | 369 | 244.7 | $52,139 | $79,485 | $89,107 |\n| San Jacinto | Riverside | 45,497 | 1,769.1 | $17,350 | $46,714 | $52,111 |\n| San Joaquin | Fresno | 4,010 | 3,350.0 | $7,519 | $25,545 | $24,583 |\n| San Jose | Santa Clara | 986,320 | 5,586.0 | $34,992 | $83,787 | $92,379 |\n| San Juan Bautista | San Benito | 2,219 | 3,121.0 | $26,097 | $57,717 | $59,321 |\n| San Juan Capistrano | Orange | 35,562 | 2,498.2 | $37,917 | $72,568 | $82,399 |\n| San Leandro | Alameda | 87,159 | 6,530.2 | $29,442 | $64,279 | $76,781 |\n| San Lorenzo | Alameda | 24,563 | 8,873.9 | $26,755 | $74,283 | $80,149 |\n| San Lucas | Monterey | 243 | 616.8 | $13,289 | $45,417 | $51,250 |\n| San Luis Obispo | San Luis Obispo | 45,911 | 3,496.6 | $26,377 | $44,894 | $78,641 |\n| San Marcos | San Diego | 87,808 | 3,603.9 | $24,789 | $56,139 | $63,866 |\n| San Marino | Los Angeles | 13,294 | 3,529.1 | $72,861 | $119,300 | $154,050 |\n| San Martin | Santa Clara | 7,081 | 610.7 | $40,075 | $107,966 | $121,154 |\n| San Mateo | San Mateo | 100,114 | 8,253.4 | $46,782 | $90,087 | $106,876 |\n| San Miguel | Contra Costa | 3,355 | 3,195.2 | $57,644 | $136,346 | $157,768 |\n| San Miguel | San Luis Obispo | 2,638 | 1,571.2 | $19,793 | $47,875 | $42,692 |\n| San Pablo | Contra Costa | 29,516 | 11,222.8 | $16,874 | $42,746 | $47,666 |\n| San Pasqual | Los Angeles | 2,143 | 8,403.9 | $56,601 | $103,409 | $110,833 |\n| San Rafael | Marin | 58,588 | 3,536.4 | $46,075 | $75,668 | $96,660 |\n| San Ramon | Contra Costa | 73,826 | 3,971.1 | $51,569 | $129,062 | $151,494 |\n| San Simeon | San Luis Obispo | 477 | 598.5 | $18,990 | $33,889 | $53,796 |\n| Santa Ana | Orange | 331,266 | 12,203.1 | $16,345 | $52,519 | $50,505 |\n| Santa Barbara | Santa Barbara | 89,669 | 4,600.8 | $37,692 | $65,916 | $82,769 |\n| Santa Clara | Santa Clara | 119,525 | 6,492.7 | $41,222 | $93,840 | $109,672 |\n| Santa Clarita | Los Angeles | 179,030 | 3,395.2 | $33,879 | $83,178 | $90,819 |\n| Santa Cruz | Santa Cruz | 62,045 | 4,870.1 | $29,177 | $61,533 | $79,431 |\n| Santa Fe Springs | Los Angeles | 16,859 | 1,900.2 | $20,761 | $51,786 | $63,333 |\n| Santa Margarita | San Luis Obispo | 1,231 | 2,381.0 | $28,335 | $51,453 | $65,104 |\n| Santa Maria | Santa Barbara | 101,468 | 4,454.3 | $18,509 | $50,753 | $52,515 |\n| Santa Monica | Los Angeles | 91,619 | 10,887.6 | $58,252 | $74,534 | $113,956 |\n| Santa Nella | Merced | 1,164 | 255.3 | $19,860 | $30,000 | $43,281 |\n| Santa Paula | Ventura | 29,990 | 6,529.5 | $20,303 | $53,692 | $58,110 |\n| Santa Rosa | Sonoma | 170,782 | 4,136.0 | $29,890 | $60,758 | $69,921 |\n| Santa Rosa Valley | Ventura | 3,422 | 494.4 | $67,083 | $162,639 | $175,466 |\n| Santa Susana | Ventura | 989 | 888.6 | $35,603 | $87,386 | $100,750 |\n| Santa Venetia | Marin | 5,017 | 1,370.4 | $34,564 | $81,583 | $98,939 |\n| Santa Ynez | Santa Barbara | 4,909 | 955.8 | $43,990 | $97,911 | $99,519 |\n| Santee | San Diego | 55,435 | 3,415.6 | $30,531 | $74,213 | $86,397 |\n| Saranap | Contra Costa | 5,591 | 4,930.3 | $49,107 | $102,054 | $131,675 |\n| Saratoga | Santa Clara | 30,627 | 2,454.3 | $77,667 | $167,917 | $197,332 |\n| Saticoy | Ventura | 1,212 | 3,258.1 | $11,926 | $35,926 | $33,207 |\n| Sattley | Sierra | 74 | 36.2 | $49,272 | | |\n| Sausalito | Marin | 7,043 | 3,976.8 | $89,751 | $111,702 | $180,898 |\n| Scotia | Humboldt | 864 | 1,158.2 | $23,080 | $54,605 | $54,028 |\n| Scotts Valley | Santa Cruz | 11,711 | 2,535.9 | $44,459 | $102,927 | $115,324 |\n| Seacliff | Santa Cruz | 3,373 | 4,397.7 | $33,424 | $61,437 | $68,271 |\n| Seal Beach | Orange | 24,477 | 2,166.7 | $46,617 | $54,026 | $92,352 |\n| Sea Ranch | Sonoma | 983 | 60.9 | $46,759 | $59,375 | $77,885 |\n| Searles Valley | San Bernardino | 1,597 | 152.2 | $22,999 | $30,478 | $46,023 |\n| Seaside | Monterey | 33,729 | 3,650.3 | $21,548 | $52,538 | $53,926 |\n| Sebastopol | Sonoma | 7,535 | 4,051.1 | $35,094 | $52,326 | $67,782 |\n| Seeley | Imperial | 1,214 | 1,001.7 | $13,570 | $26,761 | $42,708 |\n| Selma | Fresno | 23,808 | 4,633.7 | $15,292 | $43,143 | $44,226 |\n| Sequoia Crest | Tulare | 26 | 25.4 | | | |\n| Sereno del Mar | Sonoma | 51 | 69.2 | $71,720 | $123,611 | |\n| Seville | Tulare | 437 | 687.1 | $9,214 | $34,219 | $32,813 |\n| Shafter | Kern | 17,261 | 617.7 | $14,563 | $41,107 | $41,663 |\n| Shandon | San Luis Obispo | 1,323 | 448.5 | $22,883 | $59,236 | $57,639 |\n| Shasta | Shasta | 1,814 | 165.2 | $31,400 | $61,042 | $72,400 |\n| Shasta Lake | Shasta | 10,143 | 928.8 | $20,337 | $40,295 | $50,343 |\n| Shaver Lake | Fresno | 735 | 22.8 | $41,103 | $80,481 | $97,188 |\n| Shell Ridge | Contra Costa | 1,139 | 2,648.8 | $54,179 | $120,163 | $121,630 |\n| Shelter Cove | Humboldt | 516 | 88.5 | $50,193 | $23,480 | $24,459 |\n| Sheridan | Placer | 1,465 | 56.3 | $18,223 | $47,719 | $59,712 |\n| Shingle Springs | El Dorado | 4,562 | 555.7 | $35,567 | $82,788 | $82,740 |\n| Shingletown | Shasta | 2,241 | 90.9 | $23,742 | $50,491 | $58,856 |\n| Shoshone | Inyo | 22 | 0.8 | $40,018 | | |\n| Sierra Brooks | Sierra | 418 | 305.1 | $27,876 | $41,250 | $70,417 |\n| Sierra City | Sierra | 263 | 122.3 | $64,830 | $123,846 | $148,000 |\n| Sierra Madre | Los Angeles | 11,060 | 3,745.3 | $48,923 | $90,780 | $111,389 |\n| Sierra Village | Tuolumne | 612 | 242.4 | $24,564 | $50,024 | $52,091 |\n| Sierraville | Sierra | 133 | 26.5 | $14,649 | $32,500 | |\n| Signal Hill | Los Angeles | 11,245 | 5,167.7 | $30,387 | $67,320 | $65,851 |\n| Silverado Resort | Napa | 1,074 | 568.0 | $89,910 | $161,739 | $168,869 |\n| Silver City | Tulare | 0 | 0.0 | | | |\n| Silver Lakes | San Bernardino | 5,706 | 1,102.8 | $26,377 | $66,703 | $77,791 |\n| Simi Valley | Ventura | 125,699 | 3,030.6 | $37,279 | $89,595 | $98,394 |\n| Sisquoc | Santa Barbara | 276 | 123.8 | $16,611 | $43,750 | $62,500 |\n| Sky Valley | Riverside | 2,493 | 102.5 | $21,593 | $34,107 | $50,391 |\n| Sleepy Hollow | Marin | 2,584 | 865.1 | $88,551 | $189,688 | $220,750 |\n| Smartsville | Yuba | 143 | 199.4 | $19,583 | $26,100 | $27,400 |\n| Smith Corner | Kern | 661 | 3,004.5 | $9,508 | $36,063 | $36,438 |\n| Smith River | Del Norte | 871 | 219.4 | $15,985 | $32,426 | $34,583 |\n| Snelling | Merced | 116 | 214.8 | $24,639 | $38,333 | $70,750 |\n| Soda Bay | Lake | 1,369 | 1,065.4 | $32,831 | $57,450 | $56,716 |\n| Soda Springs | Nevada | 80 | 237.4 | $22,734 | $28,917 | |\n| Solana Beach | San Diego | 13,146 | 3,734.7 | $59,225 | $90,579 | $112,217 |\n| Soledad | Monterey | 26,008 | 5,892.2 | $9,701 | $46,010 | $46,651 |\n| Solvang | Santa Barbara | 5,345 | 2,204.1 | $39,334 | $66,511 | $77,159 |\n| Sonoma | Sonoma | 10,818 | 3,942.4 | $45,197 | $66,951 | $96,064 |\n| Sonora | Tuolumne | 4,844 | 1,531.5 | $25,174 | $32,985 | $46,597 |\n| Soquel | Santa Cruz | 10,275 | 2,234.7 | $36,612 | $78,703 | $95,208 |\n| Soulsbyville | Tuolumne | 2,020 | 671.1 | $28,916 | $74,250 | $74,864 |\n| South Dos Palos | Merced | 2,464 | 1,605.2 | $12,459 | $44,180 | $50,865 |\n| South El Monte | Los Angeles | 20,375 | 7,166.7 | $14,926 | $44,498 | $47,702 |\n| South Gate | Los Angeles | 95,515 | 13,200.0 | $14,256 | $43,526 | $44,947 |\n| South Lake Tahoe | El Dorado | 21,394 | 2,106.1 | $23,865 | $41,380 | $52,885 |\n| South Monrovia Island | Los Angeles | 6,929 | 12,644.2 | $17,824 | $57,012 | $57,329 |\n| South Oroville | Butte | 6,058 | 2,065.5 | $10,946 | $33,605 | $33,978 |\n| South Pasadena | Los Angeles | 25,914 | 7,610.6 | $46,649 | $80,479 | $107,015 |\n| South San Francisco | San Mateo | 65,537 | 7,140.7 | $32,269 | $78,101 | $89,186 |\n| South San Gabriel | Los Angeles | 8,281 | 9,941.2 | $23,693 | $66,958 | $72,007 |\n| South San Jose Hills | Los Angeles | 21,012 | 13,933.7 | $14,020 | $58,154 | $56,408 |\n| South Taft | Kern | 1,680 | 1,561.3 | $13,453 | $39,784 | $40,365 |\n| South Whittier | Los Angeles | 58,328 | 10,929.0 | $20,659 | $64,112 | $65,778 |\n| Spaulding | Lassen | 197 | 59.2 | $26,594 | $54,722 | $64,643 |\n| Spreckels | Monterey | 939 | 7,696.7 | $29,268 | $80,288 | $97,083 |\n| Spring Garden | Plumas | 0 | 0.0 | | | |\n| Spring Valley | Lake | 1,000 | 202.6 | $17,196 | $27,404 | $31,354 |\n| Spring Valley | San Diego | 29,841 | 4,165.4 | $26,104 | $64,517 | $68,285 |\n| Spring Valley Lake | San Bernardino | 7,816 | 2,631.6 | $26,121 | $59,040 | $73,575 |\n| Springville | Tulare | 502 | 120.0 | $24,696 | $35,038 | $60,625 |\n| Squaw Valley | Fresno | 2,450 | 43.3 | $24,659 | $63,629 | $68,948 |\n| Squirrel Mountain Valley | Kern | 372 | 521.7 | $39,483 | $42,596 | $43,990 |\n| Stallion Springs | Kern | 2,983 | 181.6 | $32,696 | $55,903 | $63,306 |\n| Stanford | Santa Clara | 13,506 | 4,945.4 | $30,200 | $51,622 | $173,750 |\n| Stanton | Orange | 38,455 | 12,416.9 | $18,870 | $45,842 | $47,509 |\n| Stevenson Ranch | Los Angeles | 18,832 | 2,962.4 | $47,057 | $114,555 | $125,459 |\n| Stevinson | Merced | 171 | 151.3 | $26,693 | $52,250 | $72,917 |\n| Stinson Beach | Marin | 425 | 294.9 | $60,870 | $108,571 | $123,309 |\n| Stirling City | Butte | 154 | 130.8 | $31,496 | $97,792 | $97,792 |\n| Stockton | San Joaquin | 297,223 | 4,819.8 | $19,927 | $45,347 | $50,166 |\n| Stonyford | Colusa | 283 | 97.7 | $19,104 | $50,833 | $58,750 |\n| Storrie | Plumas | 0 | 0.0 | | | |\n| Stratford | Kings | 1,301 | 1,904.8 | $9,288 | $23,750 | $21,579 |\n| Strathmore | Tulare | 3,626 | 2,578.9 | $9,913 | $26,250 | $22,398 |\n| Strawberry | Marin | 5,684 | 4,312.6 | $65,102 | $87,870 | $103,676 |\n| Strawberry | Tuolumne | 228 | 437.6 | $16,877 | | |\n| Sugarloaf Mountain Park | Tulare | 0 | 0.0 | | | |\n| Sugarloaf Saw Mill | Tulare | 0 | 0.0 | | | |\n| Sugarloaf Village | Tulare | 9 | 134.3 | $27,122 | $21,250 | |\n| Suisun City | Solano | 28,627 | 6,973.7 | $25,809 | $71,306 | $76,051 |\n| Sultana | Tulare | 813 | 1,831.1 | $9,019 | $24,282 | $24,176 |\n| Summerland | Santa Barbara | 1,575 | 794.3 | $65,173 | $89,050 | $106,763 |\n| Sunnyside | Fresno | 4,159 | 2,158.3 | $31,299 | $63,222 | $65,323 |\n| Sunnyside-Tahoe City | Placer | 1,845 | 545.9 | $33,019 | $69,330 | $93,000 |\n| Sunny Slopes | Mono | 137 | 72.7 | $69,329 | $135,438 | |\n| Sunnyvale | Santa Clara | 145,921 | 6,637.9 | $48,203 | $103,257 | $117,982 |\n| Sunol | Alameda | 956 | 34.4 | $51,704 | $82,750 | $96,071 |\n| Sun Village | Los Angeles | 11,613 | 1,087.5 | $17,065 | $57,840 | $59,753 |\n| Susanville | Lassen | 16,537 | 2,081.4 | $15,350 | $49,430 | $69,871 |\n| Sutter | Sutter | 2,959 | 974.6 | $29,639 | $64,671 | $64,833 |\n| Sutter Creek | Amador | 2,271 | 865.8 | $30,601 | $41,071 | $70,250 |\n| Swall Meadows | Mono | 259 | 58.0 | $35,984 | $72,083 | $81,563 |\n| Taft | Kern | 9,063 | 593.8 | $19,016 | $50,991 | $56,886 |\n| Taft Heights | Kern | 2,612 | 8,824.3 | $19,555 | $54,505 | $53,302 |\n| Taft Mosswood | San Joaquin | 1,398 | 2,955.6 | $11,291 | $31,829 | $33,400 |\n| Tahoe Vista | Placer | 1,332 | 490.4 | $27,463 | $53,068 | $59,676 |\n| Tahoma | El Dorado Placer | 959 | 369.7 | $32,244 | $50,568 | $53,438 |\n| Talmage | Mendocino | 1,335 | 839.6 | $20,095 | $69,853 | $81,944 |\n| Tamalpais-Homestead Valley | Marin | 10,331 | 2,205.1 | $70,073 | $138,598 | $162,628 |\n| Tara Hills | Contra Costa | 4,767 | 7,168.4 | $23,890 | $57,708 | $62,143 |\n| Tarpey Village | Fresno | 3,246 | 4,032.3 | $21,394 | $58,641 | $71,833 |\n| Taylorsville | Plumas | 185 | 57.0 | $56,136 | $76,176 | |\n| Tecopa | Inyo | 115 | 6.2 | $11,688 | $12,000 | $20,714 |\n| Tehachapi | Kern | 13,818 | 1,399.3 | $16,613 | $42,654 | $57,389 |\n| Tehama | Tehama | 397 | 500.0 | $22,452 | $47,679 | $49,286 |\n| Temecula | Riverside | 104,955 | 2,820.5 | $28,630 | $78,535 | $86,773 |\n| Temelec | Sonoma | 1,505 | 947.7 | $65,456 | $40,000 | $66,304 |\n| Temescal Valley | Riverside | 24,714 | 1,282.1 | $34,390 | $89,259 | $96,162 |\n| Temple City | Los Angeles | 36,006 | 8,988.0 | $27,403 | $63,803 | $73,210 |\n| Templeton | San Luis Obispo | 7,753 | 987.4 | $33,281 | $72,854 | $88,650 |\n| Tennant | Siskiyou | 115 | 473.3 | $10,137 | $14,934 | $15,865 |\n| Terminous | San Joaquin | 409 | 418.6 | $47,117 | $53,636 | $65,865 |\n| Terra Bella | Tulare | 2,912 | 1,070.2 | $7,919 | $24,489 | $25,352 |\n| Teviston | Tulare | 1,823 | 839.7 | $8,812 | $24,267 | $22,850 |\n| Thermal | Riverside | 3,570 | 377.7 | $10,647 | $26,344 | $23,481 |\n| Thermalito | Butte | 6,911 | 544.0 | $14,509 | $35,156 | $35,958 |\n| Thornton | San Joaquin | 748 | 350.7 | $14,204 | $33,500 | $33,646 |\n| Thousand Oaks | Ventura | 128,126 | 2,321.8 | $46,231 | $99,115 | $116,599 |\n| Thousand Palms | Riverside | 7,956 | 336.6 | $20,191 | $43,813 | $45,830 |\n| Three Rivers | Tulare | 2,278 | 51.2 | $33,420 | $43,913 | $67,125 |\n| Three Rocks | Fresno | 51 | 68.0 | $8,131 | | |\n| Tiburon | Marin | 9,100 | 2,046.8 | $99,710 | $130,661 | $170,915 |\n| Timber Cove | Sonoma | 132 | 23.4 | $37,758 | $34,554 | $64,375 |\n| Tipton | Tulare | 2,327 | 2,304.0 | $9,892 | $32,239 | $32,716 |\n| Tobin | Plumas | 12 | 2.4 | | | |\n| Tomales | Marin | 155 | 466.9 | $38,493 | $38,480 | |\n| Tonyville | Tulare | 764 | 15,280.0 | $16,311 | $49,934 | $49,934 |\n| Tooleville | Tulare | 387 | 5,776.1 | $13,664 | $29,125 | $24,766 |\n| Topanga | Los Angeles | 8,923 | 466.5 | $62,434 | $115,518 | $125,946 |\n| Topaz | Mono | 123 | 40.1 | $12,633 | | |\n| Toro Canyon | Santa Barbara | 1,476 | 412.5 | $57,476 | $72,500 | $103,056 |\n| Torrance | Los Angeles | 147,181 | 7,187.3 | $36,876 | $78,286 | $94,077 |\n| Tracy | San Joaquin | 84,573 | 3,748.5 | $26,121 | $74,748 | $80,439 |\n| Tranquillity | Fresno | 897 | 1,453.8 | $11,432 | $24,919 | $26,528 |\n| Traver | Tulare | 910 | 1,079.5 | $12,035 | $38,359 | $31,563 |\n| Tres Pinos | San Benito | 457 | 127.1 | $40,395 | $75,893 | $124,000 |\n| Trinidad | Humboldt | 236 | 486.6 | $34,981 | $42,917 | $83,750 |\n| Trinity Center | Trinity | 239 | 45.7 | $24,426 | $26,859 | $26,830 |\n| Trinity Village | Trinity | 211 | 52.6 | $25,325 | $32,292 | $33,571 |\n| Trona | Inyo | 0 | 0.0 | | | |\n| Trowbridge | Sutter | 184 | 27.3 | $19,087 | $52,917 | $78,750 |\n| Truckee | Nevada | 16,191 | 500.9 | $37,117 | $72,159 | $82,356 |\n| Tulare | Tulare | 60,663 | 2,977.3 | $18,336 | $46,387 | $50,690 |\n| Tulelake | Siskiyou | 1,029 | 2,509.8 | $17,233 | $35,208 | $35,227 |\n| Tuolumne City | Tuolumne | 1,824 | 782.2 | $21,238 | $33,030 | $34,821 |\n| Tupman | Kern | 176 | 333.3 | $16,889 | $45,313 | $45,938 |\n| Turlock | Stanislaus | 69,875 | 4,127.8 | $22,847 | $51,594 | $59,645 |\n| Tustin | Orange | 77,765 | 6,988.2 | $31,392 | $71,105 | $77,327 |\n| Tuttle | Merced | 17 | 9.7 | | | |\n| Tuttletown | Tuolumne | 949 | 129.1 | $35,006 | $47,794 | $60,724 |\n| Twain | Plumas | 0 | 0.0 | | | |\n| Twain Harte | Tuolumne | 2,374 | 641.8 | $29,206 | $43,625 | $58,939 |\n| Twentynine Palms | San Bernardino | 25,601 | 432.9 | $20,510 | $40,890 | $42,914 |\n| Twin Lakes | Santa Cruz | 5,212 | 7,553.6 | $33,493 | $50,933 | $72,432 |\n| Ukiah | Mendocino | 15,956 | 3,416.7 | $23,443 | $42,237 | $53,145 |\n| Union City | Alameda | 71,675 | 3,694.6 | $30,158 | $82,564 | $93,050 |\n| University of California, Davis | Yolo | 6,735 | 4,603.6 | $6,412 | $25,462 | $29,095 |\n| University of California, Merced | Merced | 0 | 0.0 | | | |\n| Upland | San Bernardino | 75,089 | 4,808.2 | $29,064 | $61,551 | $68,353 |\n| Upper Lake | Lake | 755 | 448.9 | $18,717 | $32,438 | $47,880 |\n| Vacaville | Solano | 93,994 | 3,311.6 | $30,111 | $74,207 | $85,931 |\n| Valinda | Los Angeles | 23,818 | 11,826.2 | $17,809 | $66,697 | $67,367 |\n| Vallecito | Calaveras | 573 | 66.9 | $28,131 | $83,487 | $84,375 |\n| Vallejo | Solano | 118,078 | 3,849.8 | $25,945 | $58,472 | $67,543 |\n| Valle Vista | Riverside | 15,995 | 2,328.9 | $20,501 | $40,010 | $46,584 |\n| Valley Acres | Kern | 717 | 173.9 | $28,066 | $47,466 | $60,938 |\n| Valley Center | San Diego | 9,872 | 360.0 | $31,746 | $85,176 | $94,094 |\n| Valley Ford | Sonoma | 167 | 63.2 | $9,490 | $9,312 | |\n| Valley Home | Stanislaus | 292 | 284.9 | $16,302 | $36,964 | $37,321 |\n| Valley Ranch | Plumas | 68 | 59.8 | $44,196 | $115,000 | $115,000 |\n| Valley Springs | Calaveras | 3,631 | 367.8 | $28,566 | $67,827 | $71,964 |\n| Valley Wells | Inyo | 0 | 0.0 | | | |\n| Val Verde | Los Angeles | 2,550 | 994.2 | $19,594 | $68,017 | $69,856 |\n| Vandenberg AFB | Santa Barbara | 3,464 | 157.2 | $20,710 | $61,308 | $60,260 |\n| Vandenberg Village | Santa Barbara | 7,133 | 1,359.4 | $34,667 | $77,551 | $98,265 |\n| Verdi | Sierra | 92 | 22.0 | $11,680 | $4,853 | |\n| Vernon | Los Angeles | 59 | 11.9 | $19,973 | $38,500 | $38,250 |\n| Victor | San Joaquin | 605 | 482.1 | $7,873 | $19,259 | $35,250 |\n| Victorville | San Bernardino | 119,603 | 1,631.0 | $15,873 | $47,142 | $50,608 |\n| View Park-Windsor Hills | Los Angeles | 11,374 | 6,178.2 | $44,586 | $76,461 | $109,939 |\n| Villa Park | Orange | 5,911 | 2,843.2 | $65,733 | $150,864 | $157,910 |\n| Vina | Tehama | 161 | 119.1 | $17,404 | $26,250 | $24,821 |\n| Vincent | Los Angeles | 17,687 | 12,015.6 | $20,142 | $76,682 | $74,880 |\n| Vine Hill | Contra Costa | 4,296 | 2,860.2 | $21,948 | $62,857 | $65,729 |\n| Vineyard | Sacramento | 25,640 | 1,490.4 | $26,688 | $76,084 | $78,987 |\n| Visalia | Tulare | 126,942 | 3,407.1 | $22,885 | $52,262 | $56,766 |\n| Vista | San Diego | 96,181 | 5,148.9 | $21,161 | $47,782 | $53,505 |\n| Vista Santa Rosa | Riverside | 2,815 | 174.6 | $15,530 | $52,713 | $49,688 |\n| Volcano | Amador | 0 | 0.0 | | | |\n| Volta | Merced | 257 | 58.8 | $19,853 | $42,464 | $63,500 |\n| Walker | Mono | 540 | 29.3 | $39,294 | $63,889 | $77,461 |\n| Wallace | Calaveras | 682 | 157.1 | $53,687 | $72,120 | $105,056 |\n| Walnut | Los Angeles | 29,822 | 3,316.5 | $35,064 | $100,934 | $107,750 |\n| Walnut Creek | Contra Costa | 65,923 | 3,336.4 | $51,998 | $80,399 | $112,114 |\n| Walnut Grove | Sacramento | 1,137 | 111.5 | $32,844 | $65,463 | $70,240 |\n| Walnut Park | Los Angeles | 16,039 | 21,442.5 | $13,044 | $41,202 | $41,809 |\n| Warm Springs | Riverside | 3,163 | 2,132.8 | $20,851 | $80,042 | $75,714 |\n| Warner Valley | Plumas | 5 | 0.3 | | | |\n| Wasco | Kern | 25,865 | 2,744.0 | $10,931 | $39,273 | $40,437 |\n| Washington | Nevada | 17 | 8.9 | | | |\n| Waterford | Stanislaus | 8,579 | 3,685.1 | $15,757 | $44,660 | $49,583 |\n| Waterloo | San Joaquin | 384 | 70.7 | $36,472 | $132,125 | $143,083 |\n| Watsonville | Santa Cruz | 52,085 | 7,787.8 | $17,377 | $46,691 | $48,957 |\n| Waukena | Tulare | 173 | 183.7 | $18,462 | $46,750 | $66,094 |\n| Wawona | Mariposa | 167 | 26.3 | $16,110 | $47,656 | $7,308 |\n| Weaverville | Trinity | 3,294 | 316.0 | $24,043 | $42,165 | $52,712 |\n| Weed | Siskiyou | 2,937 | 613.2 | $14,202 | $29,200 | $37,639 |\n| Weedpatch | Kern | 2,170 | 610.1 | $9,981 | $28,075 | $28,636 |\n| Weldon | Kern | 2,604 | 97.7 | $19,074 | $30,988 | $46,875 |\n| Weott | Humboldt | 152 | 202.4 | $27,832 | $93,393 | $93,393 |\n| West Athens | Los Angeles | 8,615 | 6,448.4 | $16,499 | $38,371 | $41,473 |\n| West Bishop | Inyo | 2,865 | 327.1 | $37,527 | $83,125 | $93,571 |\n| West Carson | Los Angeles | 20,766 | 9,164.2 | $28,307 | $62,414 | $72,548 |\n| West Covina | Los Angeles | 107,441 | 6,697.9 | $24,944 | $67,069 | $72,751 |\n| West Goshen | Tulare | 633 | 537.4 | $7,653 | $20,350 | $14,572 |\n| Westhaven-Moonstone | Humboldt | 962 | 118.9 | $30,340 | $54,261 | $60,750 |\n| West Hollywood | Los Angeles | 35,053 | 18,576.0 | $54,352 | $56,025 | $70,438 |\n| Westlake Village | Los Angeles | 8,393 | 1,618.7 | $62,394 | $115,550 | $145,106 |\n| Westley | Stanislaus | 853 | 489.4 | $7,011 | $18,462 | $18,462 |\n| West Menlo Park | San Mateo | 3,743 | 7,685.8 | $82,841 | $169,798 | $192,250 |\n| Westminster | Orange | 91,255 | 9,086.4 | $22,821 | $53,660 | $57,262 |\n| West Modesto | Stanislaus | 5,534 | 2,786.5 | $12,356 | $27,297 | $28,103 |\n| Westmont | Los Angeles | 30,835 | 16,685.6 | $14,176 | $27,072 | $31,813 |\n| Westmorland | Imperial | 1,747 | 2,961.0 | $11,257 | $22,372 | $24,464 |\n| West Park | Fresno | 792 | 442.0 | $14,550 | $36,389 | $38,167 |\n| West Point | Calaveras | 743 | 199.8 | $17,924 | $28,262 | $29,022 |\n| West Puente Valley | Los Angeles | 23,868 | 12,770.5 | $17,005 | $62,669 | $65,052 |\n| West Rancho Dominguez | Los Angeles | 21,739 | 5,470.3 | $16,783 | $44,909 | $48,736 |\n| West Sacramento | Yolo | 49,946 | 2,323.5 | $25,081 | $53,307 | $62,905 |\n| West Whittier-Los Nietos | Los Angeles | 26,590 | 10,555.8 | $19,949 | $62,486 | $65,326 |\n| Westwood | Lassen | 1,509 | 277.6 | $20,710 | $33,452 | $54,135 |\n| Wheatland | Yuba | 3,494 | 2,143.6 | $21,363 | $61,370 | $66,347 |\n| Whitehawk | Plumas | 41 | 15.9 | $37,346 | $76,944 | |\n| Whitewater | Riverside | 469 | 47.5 | $13,003 | $15,500 | $34,375 |\n| Whitley Gardens | San Luis Obispo | 166 | 120.6 | $47,110 | $85,385 | $103,971 |\n| Whittier | Los Angeles | 86,400 | 5,898.0 | $27,632 | $65,583 | $74,628 |\n| Wildomar | Riverside | 33,601 | 1,418.5 | $22,380 | $60,816 | $63,592 |\n| Wilkerson | Inyo | 550 | 96.0 | $32,961 | $73,125 | $76,750 |\n| Williams | Colusa | 5,166 | 948.9 | $18,878 | $54,069 | $56,232 |\n| Willits | Mendocino | 4,853 | 1,734.5 | $18,502 | $34,186 | $50,233 |\n| Willowbrook | Los Angeles | 20,897 | 13,508.1 | $11,840 | $37,760 | $37,750 |\n| Willow Creek | Humboldt | 1,425 | 47.0 | $18,701 | $35,607 | $53,523 |\n| Willows | Glenn | 6,118 | 2,148.9 | $24,044 | $38,730 | $59,952 |\n| Wilsonia | Tulare | 0 | 0.0 | | | |\n| Wilton | Sacramento | 4,670 | 161.0 | $36,737 | $81,250 | $99,135 |\n| Winchester | Riverside | 2,717 | 351.4 | $26,244 | $57,935 | $59,293 |\n| Windsor | Sonoma | 27,113 | 3,730.5 | $33,615 | $81,442 | $93,921 |\n| Winter Gardens | San Diego | 20,346 | 4,593.8 | $26,701 | $61,759 | $66,738 |\n| Winterhaven | Imperial | 151 | 618.9 | $17,087 | $21,793 | |\n| Winters | Yolo | 6,843 | 2,331.5 | $27,983 | $59,856 | $67,422 |\n| Winton | Merced | 11,774 | 3,871.8 | $13,230 | $41,091 | $41,203 |\n| Wofford Heights | Kern | 2,043 | 337.3 | $23,742 | $30,500 | $43,750 |\n| Woodacre | Marin | 1,778 | 989.4 | $50,853 | $88,657 | $104,783 |\n| Woodbridge | San Joaquin | 3,973 | 1,318.6 | $34,483 | $72,452 | $91,701 |\n| Woodcrest | Riverside | 15,951 | 1,397.9 | $29,068 | $86,095 | $88,207 |\n| Woodlake | Tulare | 7,452 | 3,227.4 | $12,469 | $35,509 | $37,711 |\n| Woodland | Yolo | 56,390 | 3,684.2 | $25,149 | $54,532 | $66,901 |\n| Woodlands | San Luis Obispo | 448 | 271.2 | $59,986 | $79,864 | $88,864 |\n| Woodside | San Mateo | 5,427 | 462.6 | $125,559 | $206,528 | $242,143 |\n| Woodville | Tulare | 1,961 | 450.6 | $11,897 | $34,750 | $31,071 |\n| Wrightwood | San Bernardino | 4,452 | 751.3 | $29,168 | $55,697 | $57,139 |\n| Yankee Hill | Butte | 242 | 40.2 | $21,555 | $33,500 | $53,875 |\n| Yettem | Tulare | 285 | 1,862.7 | $7,478 | | |\n| Yolo | Yolo | 561 | 406.5 | $22,830 | $75,089 | $90,764 |\n| Yorba Linda | Orange | 66,335 | 3,434.6 | $47,852 | $115,994 | $128,542 |\n| Yosemite Lakes | Madera | 4,668 | 223.3 | $34,430 | $59,750 | $69,583 |\n| Yosemite Valley | Mariposa | 877 | 425.9 | $26,579 | $37,250 | $111,875 |\n| Yountville | Napa | 2,977 | 1,944.5 | $51,554 | $65,568 | $90,391 |\n| Yreka | Siskiyou | 7,675 | 768.7 | $18,142 | $26,385 | $31,728 |\n| Yuba City | Sutter | 65,141 | 4,446.8 | $23,038 | $50,494 | $56,734 |\n| Yucaipa | San Bernardino | 52,406 | 1,845.2 | $26,103 | $58,506 | $69,098 |\n| Yucca Valley | San Bernardino | 21,083 | 526.9 | $20,643 | $43,086 | $53,767 |\n| Zayante | Santa Cruz | 853 | 313.0 | $31,533 | $81,308 | $93,490 |" + } + ] + }, + { + "id": "table_recognition_train_item_35358", + "image": "table_instructV/images/TABMWP_31245.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Location | Temperature (°F) |\n| --- | --- |\n| Death Valley | 134 |\n| Vostok Station | -128 |" + } + ] + }, + { + "id": "table_recognition_train_item_59674", + "image": "table_instructV/images/TabFact_2-10251937-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| year | team | co - drivers | class | laps | pos | class pos |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2004 | jmb racing | jean - rené de fornoux stéphane daoudi | gt | 133 | dnf | dnf |\n| 2007 | risi competizione | mika salo johnny mowlem | gt2 | 223 | dnf | dnf |\n| 2008 | risi competizione | gianmaria bruni mika salo | gt2 | 326 | 19th | 1st |\n| 2009 | risi competizione | pierre kaffer mika salo | gt2 | 329 | 18th | 1st |\n| 2010 | risi competizione | gianmaria bruni pierre kaffer | gt2 | 116 | dnf | dnf |\n| 2011 | luxury racing | stéphane ortelli frédéric makowiecki | gte pro | 183 | dnf | dnf |\n| 2012 | luxury racing | frédéric makowiecki dominik farnbacher | gte pro | 333 | 18th | 2nd |" + } + ] + }, + { + "id": "table_recognition_train_item_112673", + "image": "table_instructV/images/Rotowire_train_table_679.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Rockets | Houston | 117 | 28 | 21 | 31 | 37 | 29 | 59 | 18 | 47 | 75 | 36 | 50 | 22 | | | | |\n| Pelicans | New Orleans | 107 | 33 | 17 | 29 | 28 | 28 | 36 | 10 | 45 | 79 | 37 | 30 | 42 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Rockets | | | | | | | | | | | | | | | | | | |\n| James Harden | 38 | 38 | 7 | 17 | 12-24 | 50% | 5-12 | 42% | 9-11 | 82% | 2 | 3 | 1 | 1 | 6 | 2 | G | Houston |\n| Patrick Beverley | 31 | 17 | 6 | 2 | 6-11 | 55% | 4-7 | 57% | 1-2 | 50% | 1 | 4 | 0 | 1 | 5 | 2 | G | Houston |\n| Eric Gordon | 33 | 14 | 5 | 4 | 5-10 | 50% | 2-5 | 40% | 2-3 | 67% | 1 | 5 | 0 | 1 | 4 | 1 | N/A | Houston |\n| Ryan Anderson | 30 | 13 | 6 | 0 | 5-12 | 42% | 3-8 | 38% | 0-0 | 0% | 0 | 2 | 0 | 4 | 2 | 3 | F | Houston |\n| Nene | 19 | 12 | 8 | 2 | 6-10 | 60% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 2 | 6 | 4 | N/A | Houston |\n| Clint Capela | 29 | 10 | 13 | 2 | 5-7 | 71% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 2 | 4 | 9 | 3 | C | Houston |\n| Trevor Ariza | 34 | 8 | 9 | 0 | 3-10 | 30% | 0-4 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 9 | 4 | F | Houston |\n| Lou Williams | 20 | 5 | 2 | 2 | 2-8 | 25% | 0-3 | 0% | 1-2 | 50% | 0 | 1 | 0 | 1 | 1 | 0 | N/A | Houston |\n| Sam Dekker | 6 | 0 | 3 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 0 | N/A | Houston |\n| Bobby Brown | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Montrezl Harrell | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Kyle Wiltjer | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Pelicans | | | | | | | | | | | | | | | | | | |\n| Anthony Davis | 41 | 33 | 16 | 1 | 14-24 | 58% | 0-1 | 0% | 5-6 | 83% | 3 | 1 | 1 | 3 | 13 | 2 | F | New Orleans |\n| DeMarcus Cousins | 30 | 29 | 6 | 4 | 10-25 | 40% | 5-9 | 56% | 4-5 | 80% | 1 | 3 | 4 | 2 | 4 | 4 | C | New Orleans |\n| Jrue Holiday | 38 | 18 | 1 | 9 | 7-12 | 58% | 4-8 | 50% | 0-1 | 0% | 3 | 2 | 2 | 0 | 1 | 1 | G | New Orleans |\n| Jordan Crawford | 18 | 12 | 1 | 2 | 4-10 | 40% | 2-6 | 33% | 2-2 | 100% | 1 | 2 | 0 | 0 | 1 | 0 | N/A | New Orleans |\n| Solomon Hill | 36 | 9 | 3 | 4 | 3-8 | 38% | 3-7 | 43% | 0-0 | 0% | 1 | 2 | 0 | 0 | 3 | 3 | F | New Orleans |\n| E'Twaun Moore | 27 | 6 | 2 | 5 | 3-6 | 50% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 3 | N/A | New Orleans |\n| Tim Frazier | 24 | 0 | 3 | 3 | 0-5 | 0% | 0-4 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 1 | G | New Orleans |\n| Dante Cunningham | 25 | 0 | 4 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 4 | 1 | N/A | New Orleans |\n| Omer Asik | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| Alexis Ajinca | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| Donatas Motiejunas | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| Quinn Cook | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |" + } + ] + }, + { + "id": "table_recognition_train_item_34619", + "image": "table_instructV/images/TABMWP_8047.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 15 | 17 |\n| 0 | 18 |\n| 5 | 20 |" + } + ] + }, + { + "id": "table_recognition_train_item_108299", + "image": "table_instructV/images/ToTTo_train_table_34912.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Office | Type | Location | Elected | Term began | Term ended | notes |\n| --- | --- | --- | --- | --- | --- | --- |\n| Delegate | Convention | Dover | | August 27, 1776 | September 20, 1776 | State Constitution |\n| Council of Safety | Legislature | New Castle | | November 7, 1776 | January 10, 1777 | |\n| State Council | Legislature | New Castle | 1776 | October 28, 1776 | October 20, 1777 | |\n| Delegate | Legislature | Philadelphia | | February 22, 1777 | December 17, 1777 | Continental Congress |\n| Delegate | Convention | Dover | 1791 | November 1791 | April 4, 1792 | State Constitution |" + } + ] + }, + { + "id": "table_recognition_train_item_113659", + "image": "table_instructV/images/Rotowire_train_table_1172.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bucks | Milwaukee | 103 | 28 | 20 | 35 | 20 | 18 | 40 | 19 | 48 | 89 | 17 | 20 | 29 | | | | |\n| Heat | Miami | 107 | 33 | 22 | 26 | 26 | 27 | 34 | 17 | 50 | 81 | 39 | 26 | 21 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Bucks | | | | | | | | | | | | | | | | | | |\n| Giannis Antetokounmpo | 46 | 28 | 4 | 6 | 11-17 | 65% | 0-2 | 0% | 6-7 | 86% | 3 | 6 | 2 | 0 | 4 | 4 | F | Milwaukee |\n| Greg Monroe | 34 | 24 | 5 | 1 | 7-14 | 50% | 0-0 | 0% | 10-11 | 91% | 0 | 0 | 1 | 3 | 2 | 2 | C | Milwaukee |\n| Jabari Parker | 39 | 17 | 5 | 1 | 7-13 | 54% | 0-0 | 0% | 3-3 | 100% | 1 | 4 | 1 | 3 | 2 | 2 | F | Milwaukee |\n| Khris Middleton | 39 | 9 | 7 | 0 | 2-13 | 15% | 0-3 | 0% | 5-5 | 100% | 2 | 4 | 0 | 2 | 5 | 2 | G | Milwaukee |\n| Michael Carter-Williams | 26 | 9 | 8 | 6 | 4-9 | 44% | 0-1 | 0% | 1-2 | 50% | 2 | 2 | 0 | 1 | 7 | 5 | G | Milwaukee |\n| Rashad Vaughn | 11 | 8 | 1 | 0 | 3-4 | 75% | 2-3 | 67% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Milwaukee |\n| Miles Plumlee | 14 | 8 | 7 | 0 | 4-6 | 67% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 4 | 3 | 0 | N/A | Milwaukee |\n| Tyler Ennis | 6 | 0 | 2 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 2 | N/A | Milwaukee |\n| Jerryd Bayless | 24 | 0 | 1 | 3 | 0-4 | 0% | 0-3 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 2 | N/A | Milwaukee |\n| Johnny O'Bryant III | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Chris Copeland | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| John Henson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| O.J. Mayo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Dwyane Wade | 32 | 24 | 4 | 7 | 7-13 | 54% | 0-0 | 0% | 10-13 | 77% | 3 | 4 | 3 | 1 | 3 | 2 | G | Miami |\n| Chris Bosh | 35 | 20 | 6 | 5 | 5-11 | 46% | 2-5 | 40% | 8-9 | 89% | 1 | 2 | 1 | 1 | 5 | 2 | F | Miami |\n| Luol Deng | 33 | 16 | 7 | 0 | 5-11 | 46% | 2-4 | 50% | 4-4 | 100% | 1 | 1 | 1 | 2 | 5 | 5 | F | Miami |\n| Amar'e Stoudemire | 24 | 12 | 8 | 0 | 6-9 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 2 | 2 | 6 | 3 | C | Miami |\n| Goran Dragic | 32 | 12 | 1 | 8 | 5-8 | 63% | 1-2 | 50% | 1-2 | 50% | 1 | 4 | 0 | 0 | 1 | 4 | G | Miami |\n| Gerald Green | 20 | 10 | 2 | 1 | 4-10 | 40% | 1-4 | 25% | 1-2 | 50% | 3 | 0 | 1 | 1 | 1 | 1 | N/A | Miami |\n| Justise Winslow | 33 | 6 | 4 | 2 | 2-5 | 40% | 0-1 | 0% | 2-2 | 100% | 0 | 1 | 0 | 1 | 3 | 3 | N/A | Miami |\n| Beno Udrih | 16 | 5 | 1 | 2 | 2-4 | 50% | 1-2 | 50% | 0-0 | 0% | 2 | 3 | 0 | 0 | 1 | 0 | N/A | Miami |\n| Josh McRoberts | 16 | 2 | 1 | 2 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 1 | 0 | 1 | 3 | N/A | Miami |\n| Udonis Haslem | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Jarnell Stokes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Josh Richardson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |" + } + ] + }, + { + "id": "table_recognition_train_item_34805", + "image": "table_instructV/images/TABMWP_13977.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Number of blocks | Number of buildings |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | 40 |\n| 5 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_66642", + "image": "table_instructV/images/TabFact_2-11766617-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| date | visitor | score | home | decision | attendance | record |\n| --- | --- | --- | --- | --- | --- | --- |\n| december 1 | boston | 1 - 4 | tampa bay | holmqvist | 18444 | 11 - 13 - 2 |\n| december 4 | ottawa | 3 - 4 | tampa bay | holmqvist | 17540 | 12 - 13 - 2 |\n| december 6 | carolina | 1 - 2 | tampa bay | holmqvist | 16674 | 13 - 13 - 2 |\n| december 8 | ny islanders | 3 - 2 | tampa bay | holmqvist | 18319 | 13 - 13 - 3 |\n| december 10 | tampa bay | 1 - 6 | toronto | holmqvist | 19454 | 13 - 14 - 3 |\n| december 11 | tampa bay | 3 - 2 | montreal | denis | 21273 | 14 - 14 - 3 |\n| december 13 | calgary | 9 - 6 | tampa bay | denis | 19026 | 14 - 15 - 3 |\n| december 15 | washington | 3 - 2 | tampa bay | holmqvist | 18367 | 14 - 16 - 3 |\n| december 18 | tampa bay | 2 - 6 | atlanta | holmqvist | 14060 | 14 - 17 - 3 |\n| december 20 | toronto | 1 - 2 | tampa bay | ramo | 19131 | 15 - 17 - 3 |\n| december 22 | carolina | 4 - 1 | tampa bay | ramo | 18765 | 15 - 18 - 3 |\n| december 26 | tampa bay | 2 - 3 | washington | ramo | 15035 | 15 - 19 - 3 |\n| december 27 | montreal | 5 - 2 | tampa bay | holmqvist | 20294 | 15 - 20 - 3 |\n| december 29 | philadelphia | 4 - 2 | tampa bay | ramo | 20124 | 15 - 21 - 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_54598", + "image": "table_instructV/images/TabFact_1-27816332-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| shirt number | player name | games played | total points | 2 - points | 3 - points | free throw |\n| --- | --- | --- | --- | --- | --- | --- |\n| 11 | alpha ibrahim koroma | 5 | 31 | 30 | 0 | 1 |\n| 12 | alpha jalloh | 5 | 17 | 16 | 0 | 1 |\n| 13 | samuel juah | 3 | 7 | 6 | 0 | 1 |\n| 14 | abdulai bangura | 2 | 4 | 4 | 0 | 0 |\n| 15 | ibrahim jalloh | 5 | 6 | 6 | 0 | 0 |\n| 17 | ibrahim kallon | 4 | 6 | 2 | 3 | 1 |\n| 18 | ibrahim bakarr kamara | 3 | 2 | 2 | 0 | 0 |\n| 22 | alpha ambrose kargbo | 5 | 60 | 42 | 15 | 3 |\n| 33 | amadu kargbo | 4 | 14 | 12 | 0 | 2 |" + } + ] + }, + { + "id": "table_recognition_train_item_118037", + "image": "table_instructV/images/Rotowire_train_table_3361.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Heat | Miami | 94 | 25 | 30 | 22 | 17 | 19 | 34 | 13 | 47 | 88 | 36 | 15 | 10 | | | | |\n| Raptors | Toronto | 108 | 27 | 23 | 31 | 27 | 18 | 38 | 7 | 51 | 82 | 38 | 17 | 11 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Dwyane Wade | 31 | 21 | 6 | 5 | 8-16 | 50% | 0-2 | 0% | 5-5 | 100% | 0 | 8 | 0 | 2 | 4 | 0 | G | Miami |\n| Gerald Green | 31 | 20 | 0 | 1 | 7-15 | 47% | 5-10 | 50% | 1-1 | 100% | 1 | 1 | 0 | 0 | 0 | 2 | N/A | Miami |\n| Goran Dragic | 33 | 18 | 2 | 5 | 8-13 | 62% | 0-2 | 0% | 2-3 | 67% | 1 | 2 | 0 | 0 | 2 | 2 | G | Miami |\n| Chris Bosh | 29 | 11 | 4 | 3 | 4-8 | 50% | 1-2 | 50% | 2-2 | 100% | 1 | 1 | 0 | 0 | 4 | 4 | F | Miami |\n| Luol Deng | 34 | 9 | 3 | 2 | 2-9 | 22% | 2-5 | 40% | 3-4 | 75% | 1 | 0 | 0 | 1 | 2 | 2 | F | Miami |\n| Hassan Whiteside | 31 | 8 | 13 | 0 | 4-6 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 5 | 1 | 12 | 2 | C | Miami |\n| Beno Udrih | 22 | 5 | 3 | 2 | 2-4 | 50% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 2 | N/A | Miami |\n| Justise Winslow | 18 | 2 | 2 | 0 | 0-2 | 0% | 0-2 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 2 | 3 | N/A | Miami |\n| Udonis Haslem | 6 | 0 | 1 | 1 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Miami |\n| Josh Richardson | 3 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 0 | 2 | N/A | Miami |\n| Jarnell Stokes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Amar'e Stoudemire | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| DeMar DeRozan | 40 | 30 | 4 | 4 | 10-17 | 59% | 0-1 | 0% | 10-13 | 77% | 2 | 3 | 0 | 0 | 4 | 0 | G | Toronto |\n| Kyle Lowry | 38 | 21 | 3 | 4 | 8-18 | 44% | 1-4 | 25% | 4-4 | 100% | 4 | 1 | 0 | 0 | 3 | 2 | G | Toronto |\n| Luis Scola | 27 | 20 | 3 | 1 | 9-16 | 56% | 1-2 | 50% | 1-1 | 100% | 0 | 0 | 1 | 1 | 2 | 3 | F | Toronto |\n| Terrence Ross | 25 | 17 | 1 | 1 | 6-9 | 67% | 5-8 | 63% | 0-0 | 0% | 1 | 1 | 2 | 0 | 1 | 1 | N/A | Toronto |\n| James Johnson | 32 | 13 | 1 | 5 | 5-9 | 56% | 1-2 | 50% | 2-2 | 100% | 1 | 0 | 1 | 1 | 0 | 1 | F | Toronto |\n| Bismack Biyombo | 34 | 5 | 15 | 0 | 2-5 | 40% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 1 | 4 | 11 | 1 | C | Toronto |\n| Patrick Patterson | 24 | 2 | 8 | 1 | 1-3 | 33% | 0-2 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 8 | 2 | N/A | Toronto |\n| Cory Joseph | 20 | 0 | 3 | 2 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 2 | 1 | 0 | 0 | 3 | 2 | N/A | Toronto |\n| DeMarre Carroll | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Anthony Bennett | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Norman Powell | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Lucas Nogueira | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |" + } + ] + }, + { + "id": "table_recognition_train_item_104266", + "image": "table_instructV/images/ToTTo_train_table_17941.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | 23–8 | Julia Budd | TKO (punches) | Bellator 174 | March 3, 2017 | 4 | 2:42 | Thackerville, Oklahoma, United States | For the inaugural Bellator Women's Featherweight Championship |\n| Loss | 23–7 | Alexis Dufresne | Submission (triangle armbar) | Bellator 155 | May 20, 2016 | 1 | 4:33 | Boise, Idaho, United States | Catchweight (150lbs) bout; Dufresne missed weight. |\n| Win | 23–6 | Arlene Blencowe | Submission (armbar) | Bellator 141 | August 28, 2015 | 2 | 3:23 | Temecula, California, United States | |\n| Win | 22–6 | Annalisa Bucci | Submission (rear-naked choke) | Bellator 130 | October 24, 2014 | 3 | 0:57 | Mulvane, Kansas, United States | |\n| Loss | 21–6 | Cris Cyborg | TKO (punches and elbows) | Invicta FC 6: Coenen vs. Cyborg | July 13, 2013 | 4 | 4:02 | Kansas City, Missouri, United States | For the inaugural Invicta FC Featherweight Championship. |\n| Win | 21–5 | Fiona Muxlow | Submission (armbar) | Dream 18 | December 31, 2012 | 1 | 3:29 | Saitama, Japan | |\n| Win | 20–5 | Romy Ruyssen | Decision (unanimous) | Invicta FC 1: Coenen vs. Ruyssen | April 28, 2012 | 3 | 5:00 | Kansas City, Kansas, United States | |\n| Loss | 19–5 | Miesha Tate | Submission (arm-triangle choke) | Strikeforce: Fedor vs. Henderson | July 30, 2011 | 4 | 3:03 | Hoffman Estates, Illinois, United States | Lost the Strikeforce Women's Bantamweight Championship. |\n| Win | 19–4 | Liz Carmouche | Submission (triangle choke) | Strikeforce: Feijao vs. Henderson | March 5, 2011 | 4 | 1:29 | Columbus, Ohio, United States | Defended the Strikeforce Women's Bantamweight Championship. |\n| Win | 18–4 | Sarah Kaufman | Submission (armbar) | Strikeforce: San Jose | October 9, 2010 | 3 | 1:59 | San Jose, California, United States | Won the Strikeforce Women's Bantamweight Championship. |\n| Loss | 17–4 | Cris Cyborg | TKO (punches) | Strikeforce: Miami | January 30, 2010 | 3 | 3:40 | Sunrise, Florida, United States | For the Strikeforce Women's Featherweight Championship. |\n| Win | 17–3 | Roxanne Modafferi | Submission (armbar) | Strikeforce: Fedor vs. Rogers | November 7, 2009 | 1 | 1:05 | Hoffman Estates, Illinois, United States | Strikeforce Debut. |\n| Loss | 16–3 | Cindy Dandois | Decision (unanimous) | Beast of the East | January 24, 2009 | 3 | 5:00 | Zutphen, Netherlands | |\n| Win | 16–2 | Asci Kubra | TKO (punches) | KOE: Tough Is Not Enough | October 5, 2008 | 1 | 1:51 | Rotterdam, Netherlands | |\n| Win | 15–2 | Romy Ruyssen | Submission (rear-naked choke) | SLV 3: Thaibox Gala Night | August 2, 2008 | 2 | 4:45 | Basel, Switzerland | |\n| Win | 14–2 | Asci Kubra | Submission (armbar) | Beast of the East | May 31, 2008 | 1 | N/A | Zutphen, Netherlands | |\n| Loss | 13–2 | Roxanne Modafferi | Decision (split) | K-Grace 1 | May 27, 2007 | 2 | 3:00 | Tokyo, Japan | |\n| Win | 13–1 | Magdalena Jarecka | Submission (rear-naked choke) | K-Grace 1 | May 27, 2007 | 2 | 1:35 | Tokyo, Japan | |\n| Win | 12–1 | Keiko Tamai | Submission (rear-naked choke) | K-Grace 1 | May 27, 2007 | 1 | 2:01 | Tokyo, Japan | |\n| Win | 11–1 | Majanka Lathouwers | Submission (armbar) | Shooto Holland: Ultimate Glory 2 | January 21, 2007 | 2 | 3:10 | Utrecht, Netherlands | |\n| Win | 10–1 | Yoko Takahashi | Submission (armbar) | G-Shooto: G-Shooto 04 | March 11, 2006 | 1 | 0:39 | Tokyo, Japan | |\n| Win | 9–1 | Yuuki Kondo | KO (punch) | Smackgirl: Cool Fighter's Last Stand | April 30, 2005 | 2 | 0:50 | Shizuoka Prefecture, Japan | |\n| Loss | 8–1 | Erin Toughill | KO (punch) | Smackgirl: World ReMix 2004 | December 19, 2004 | 1 | 5:00 | Shizuoka Prefecture, Japan | |\n| Win | 8–0 | Yoko Takahashi | TKO (punches) | Smackgirl: World ReMix 2004 | December 19, 2004 | 1 | 2:30 | Shizuoka Prefecture, Japan | |\n| Win | 7–0 | Miwako Ishihara | Decision (majority) | Shooto: Wanna Shooto 2002 | April 14, 2002 | 2 | 5:00 | Tokyo, Japan | |\n| Win | 6–0 | Megumi Yabushita | Submission (rear-naked choke) | Jd': No Holds Barred | January 13, 2002 | 1 | 2:27 | Tokyo, Japan | |\n| Win | 5–0 | Yoko Takahashi | Submission (armbar) | ReMix: Golden Gate 2001 | May 3, 2001 | 1 | 1:11 | Japan | |\n| Win | 4–0 | Megumi Yabushita | Decision (unanimous) | ReMix: World Cup 2000 | December 5, 2000 | 3 | 5:00 | Nippon Budokan, Japan | |\n| Win | 3–0 | Becky Levi | Submission (flying armbar) | ReMix: World Cup 2000 | December 5, 2000 | 1 | 1:25 | Nippon Budokan, Japan | |\n| Win | 2–0 | Mika Harigai | Submission (rear-naked choke) | ReMix: World Cup 2000 | December 5, 2000 | 1 | 0:31 | Nippon Budokan, Japan | |\n| Win | 1–0 | Yuuki Kondo | Submission (armbar) | LLPW – L-1 2000: The Strongest Lady | November 22, 2000 | 1 | 2:37 | Tokyo, Japan | |" + } + ] + }, + { + "id": "table_recognition_train_item_55724", + "image": "table_instructV/images/TabFact_1-26041144-11.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| rank | average | player | matches | innings | period |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 39.69 | kumar sangakkara | 351 | 328 | 2000 - pre |\n| 2 | 37.57 | marvan atapattu | 268 | 259 | 1990 - 2007 |\n| 3 | 36.74 | tillakaratne dilshan | 264 | 239 | 1999 - pre |\n| 4 | 35.84 | arjuna ranatunga | 269 | 255 | 1982 - 1999 |\n| 5 | 35.26 | russel arnold | 180 | 155 | 1997 - 2007 |\n| 6 | 34.13 | upul tharanga | 169 | 162 | 2005 - pre |\n| 7 | 34.08 | angelo mathews | 102 | 82 | 2008 - pre |" + } + ] + }, + { + "id": "table_recognition_train_item_32806", + "image": "table_instructV/images/TABMWP_22361.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Date | Description | Received | Expenses | Available Funds |\n| --- | --- | --- | --- | --- |\n| | Balance: end of July | | | $213.05 |\n| 8/8 | birthday money | $20.00 | | $233.05 |\n| 8/17 | snow cone | | $3.40 | $229.65 |\n| 8/21 | backpack | | $27.85 | $201.80 |" + } + ] + }, + { + "id": "table_recognition_train_item_32707", + "image": "table_instructV/images/TABMWP_21125.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $165 | 20,700 | 17,900 |\n| $335 | 16,600 | 18,800 |\n| $505 | 12,500 | 19,700 |\n| $675 | 8,400 | 20,600 |\n| $845 | 4,300 | 21,500 |" + } + ] + }, + { + "id": "table_recognition_train_item_33488", + "image": "table_instructV/images/TABMWP_29834.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| | Road bike tires | Mountain bike tires |\n| --- | --- | --- |\n| Red | 6 | 3 |\n| Green | 3 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_31041", + "image": "table_instructV/images/TABMWP_3479.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $485 | 12,400 | 2,900 |\n| $585 | 10,600 | 5,500 |\n| $685 | 8,800 | 8,100 |\n| $785 | 7,000 | 10,700 |\n| $885 | 5,200 | 13,300 |" + } + ] + }, + { + "id": "table_recognition_train_item_51942", + "image": "table_instructV/images/TAT-QA_8f5700fa-3b35-419c-8fc3-d65947a8fb92.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| | | Years Ended December 31, | |\n| --- | --- | --- | --- |\n| | 2019 | 2018 | 2017 |\n| Customer A (a distribution channel partner) | * | 14% | * |\n| Customer B (a distribution channel partner) | 12% | 10% | * |\n| Customer C (a distribution channel partner) | 14% | * | * |" + } + ] + }, + { + "id": "table_recognition_train_item_115927", + "image": "table_instructV/images/Rotowire_train_table_2306.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pelicans | New Orleans | 91 | 24 | 26 | 18 | 23 | 22 | 51 | 10 | 37 | 80 | 23 | 11 | 23 | | | | |\n| Mavericks | Dallas | 100 | 22 | 27 | 22 | 29 | 22 | 52 | 10 | 43 | 86 | 25 | 21 | 15 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pelicans | | | | | | | | | | | | | | | | | | |\n| Anthony Davis | 42 | 26 | 11 | 7 | 11-25 | 44% | 0-3 | 0% | 4-5 | 80% | 2 | 3 | 3 | 5 | 6 | 3 | F | New Orleans |\n| Tyreke Evans | 35 | 16 | 9 | 5 | 6-13 | 46% | 1-4 | 25% | 3-4 | 75% | 2 | 2 | 0 | 0 | 9 | 3 | G | New Orleans |\n| Eric Gordon | 23 | 14 | 1 | 3 | 5-9 | 56% | 4-7 | 57% | 0-0 | 0% | 0 | 1 | 0 | 1 | 0 | 1 | G | New Orleans |\n| Jrue Holiday | 29 | 11 | 6 | 6 | 5-13 | 39% | 1-3 | 33% | 0-0 | 0% | 1 | 2 | 0 | 1 | 5 | 5 | N/A | New Orleans |\n| Ryan Anderson | 29 | 10 | 3 | 0 | 2-12 | 17% | 0-6 | 0% | 6-7 | 86% | 1 | 0 | 0 | 0 | 3 | 0 | N/A | New Orleans |\n| Omer Asik | 19 | 6 | 7 | 0 | 3-6 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 2 | 6 | 1 | 0 | C | New Orleans |\n| Dante Cunningham | 14 | 4 | 4 | 0 | 1-4 | 25% | 1-3 | 33% | 1-2 | 50% | 1 | 0 | 0 | 0 | 4 | 1 | N/A | New Orleans |\n| Norris Cole | 28 | 4 | 4 | 0 | 1-6 | 17% | 0-1 | 0% | 2-2 | 100% | 0 | 0 | 0 | 1 | 3 | 3 | N/A | New Orleans |\n| Alexis Ajinca | 3 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | New Orleans |\n| Alonzo Gee | 18 | 0 | 6 | 1 | 0-4 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 5 | 1 | F | New Orleans |\n| Toney Douglas | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| Kendrick Perkins | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| Luke Babbitt | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| Mavericks | | | | | | | | | | | | | | | | | | |\n| Raymond Felton | 37 | 22 | 2 | 6 | 6-14 | 43% | 3-6 | 50% | 7-7 | 100% | 1 | 0 | 0 | 0 | 2 | 4 | G | Dallas |\n| Chandler Parsons | 31 | 21 | 8 | 6 | 9-16 | 56% | 0-5 | 0% | 3-3 | 100% | 0 | 2 | 0 | 1 | 7 | 2 | F | Dallas |\n| Dwight Powell | 30 | 13 | 10 | 2 | 4-9 | 44% | 0-0 | 0% | 5-6 | 83% | 2 | 1 | 2 | 3 | 7 | 3 | N/A | Dallas |\n| J.J. Barea | 29 | 11 | 4 | 1 | 4-11 | 36% | 2-6 | 33% | 1-2 | 50% | 0 | 4 | 0 | 1 | 3 | 2 | G | Dallas |\n| Devin Harris | 26 | 10 | 6 | 4 | 4-8 | 50% | 1-3 | 33% | 1-2 | 50% | 2 | 1 | 0 | 0 | 6 | 3 | N/A | Dallas |\n| JaVale McGee | 19 | 8 | 6 | 0 | 4-8 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 4 | 4 | 2 | 1 | C | Dallas |\n| Jeremy Evans | 25 | 8 | 5 | 1 | 3-6 | 50% | 0-1 | 0% | 2-2 | 100% | 1 | 1 | 0 | 1 | 4 | 1 | N/A | Dallas |\n| Justin Anderson | 17 | 5 | 4 | 2 | 2-4 | 50% | 1-2 | 50% | 0-0 | 0% | 1 | 0 | 0 | 0 | 4 | 0 | N/A | Dallas |\n| Charlie Villanueva | 21 | 2 | 6 | 0 | 1-10 | 10% | 0-5 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 5 | 2 | F | Dallas |\n| John Jenkins | 4 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Dallas |\n| Salah Mejri | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| Wesley Matthews | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| Zaza Pachulia | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |" + } + ] + }, + { + "id": "table_recognition_train_item_116741", + "image": "table_instructV/images/Rotowire_train_table_2713.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Jazz | Utah | 84 | 21 | 19 | 21 | 23 | 21 | 36 | 9 | 42 | 50 | 18 | 30 | 37 | | | | |\n| Wizards | Washington | 88 | 26 | 16 | 25 | 21 | 16 | 41 | 21 | 52 | 70 | 55 | 40 | 28 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Jazz | | | | | | | | | | | | | | | | | | |\n| Gordon Hayward | 35 | 26 | 4 | 4 | 9-19 | 47% | 1-6 | 17% | 7-9 | 78% | 1 | 2 | 0 | 1 | 3 | 1 | F | Utah |\n| Derrick Favors | 38 | 16 | 9 | 1 | 8-18 | 44% | 0-0 | 0% | 0-2 | 0% | 0 | 2 | 3 | 5 | 4 | 4 | F | Utah |\n| Trey Burke | 28 | 14 | 0 | 6 | 5-8 | 63% | 3-5 | 60% | 1-2 | 50% | 2 | 1 | 0 | 0 | 0 | 2 | N/A | Utah |\n| Rudy Gobert | 37 | 9 | 14 | 4 | 3-5 | 60% | 0-0 | 0% | 3-8 | 38% | 1 | 1 | 2 | 5 | 9 | 1 | C | Utah |\n| Rodney Hood | 29 | 8 | 3 | 4 | 4-9 | 44% | 0-3 | 0% | 0-1 | 0% | 0 | 3 | 0 | 1 | 2 | 4 | G | Utah |\n| Trevor Booker | 19 | 7 | 4 | 0 | 3-7 | 43% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 0 | 1 | 3 | 1 | N/A | Utah |\n| Joe Ingles | 21 | 4 | 1 | 2 | 2-7 | 29% | 0-2 | 0% | 0-0 | 0% | 2 | 0 | 0 | 1 | 0 | 1 | N/A | Utah |\n| Jack Cooley | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Utah |\n| Dante Exum | 20 | 0 | 1 | 0 | 0-6 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | G | Utah |\n| Elijah Millsap | 11 | 0 | 0 | 0 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 3 | 0 | 0 | 0 | 0 | 3 | N/A | Utah |\n| Bryce Cotton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Jeremy Evans | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Ian Clark | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| John Wall | 37 | 24 | 9 | 6 | 9-13 | 69% | 0-1 | 0% | 6-7 | 86% | 0 | 4 | 0 | 0 | 9 | 3 | G | Washington |\n| Paul Pierce | 28 | 18 | 3 | 4 | 6-10 | 60% | 4-5 | 80% | 2-2 | 100% | 2 | 1 | 0 | 1 | 2 | 3 | F | Washington |\n| Bradley Beal | 40 | 9 | 4 | 2 | 4-10 | 40% | 0-2 | 0% | 1-1 | 100% | 0 | 4 | 0 | 2 | 2 | 2 | G | Washington |\n| Drew Gooden | 18 | 9 | 5 | 0 | 4-10 | 40% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 5 | 1 | N/A | Washington |\n| Nene | 33 | 8 | 5 | 0 | 3-7 | 43% | 0-0 | 0% | 2-6 | 33% | 0 | 5 | 1 | 2 | 3 | 3 | F | Washington |\n| Marcin Gortat | 36 | 7 | 9 | 1 | 2-4 | 50% | 0-0 | 0% | 3-5 | 60% | 1 | 4 | 1 | 1 | 8 | 3 | C | Washington |\n| Ramon Sessions | 18 | 7 | 1 | 1 | 2-3 | 67% | 1-1 | 100% | 2-2 | 100% | 0 | 2 | 0 | 0 | 1 | 2 | N/A | Washington |\n| Kevin Seraphin | 8 | 4 | 1 | 0 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 0 | 1 | 2 | N/A | Washington |\n| Rasual Butler | 11 | 2 | 4 | 1 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 4 | 0 | N/A | Washington |\n| Otto Porter | 10 | 0 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Washington |\n| Toure' Murry | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Washington |\n| DeJuan Blair | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Martell Webster | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |" + } + ] + }, + { + "id": "table_recognition_train_item_115407", + "image": "table_instructV/images/Rotowire_train_table_2046.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kings | Sacramento | 106 | 33 | 25 | 22 | 26 | 21 | 31 | 18 | 49 | 79 | 39 | 15 | 22 | | | | |\n| Warriors | Golden State | 117 | 24 | 27 | 39 | 27 | 33 | 46 | 17 | 51 | 85 | 35 | 32 | 6 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Kings | | | | | | | | | | | | | | | | | | |\n| Rudy Gay | 35 | 23 | 1 | 3 | 9-17 | 53% | 2-6 | 33% | 3-4 | 75% | 2 | 4 | 2 | 0 | 1 | 3 | F | Sacramento |\n| DeMarcus Cousins | 29 | 17 | 10 | 5 | 4-11 | 36% | 1-3 | 33% | 8-9 | 89% | 1 | 7 | 2 | 0 | 10 | 4 | C | Sacramento |\n| Anthony Tolliver | 32 | 16 | 5 | 0 | 5-9 | 56% | 3-4 | 75% | 3-4 | 75% | 3 | 0 | 0 | 0 | 5 | 1 | F | Sacramento |\n| Ty Lawson | 22 | 15 | 2 | 3 | 4-8 | 50% | 0-1 | 0% | 7-8 | 88% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | Sacramento |\n| Darren Collison | 30 | 14 | 1 | 2 | 6-9 | 67% | 2-3 | 67% | 0-0 | 0% | 3 | 2 | 0 | 0 | 1 | 1 | G | Sacramento |\n| Garrett Temple | 42 | 14 | 1 | 3 | 5-9 | 56% | 2-5 | 40% | 2-4 | 50% | 1 | 1 | 1 | 0 | 1 | 2 | G | Sacramento |\n| Arron Afflalo | 14 | 5 | 1 | 0 | 2-4 | 50% | 1-3 | 33% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 2 | N/A | Sacramento |\n| Kosta Koufos | 16 | 2 | 7 | 2 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 1 | 6 | 2 | N/A | Sacramento |\n| Matt Barnes | 18 | 0 | 3 | 3 | 0-4 | 0% | 0-3 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 3 | 1 | N/A | Sacramento |\n| Ben McLemore | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Malachi Richardson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Omri Casspi | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Willie Cauley-Stein | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 37 | 30 | 4 | 6 | 11-22 | 50% | 5-11 | 46% | 3-3 | 100% | 2 | 4 | 0 | 2 | 2 | 3 | G | Golden State |\n| Kevin Durant | 36 | 28 | 7 | 6 | 9-15 | 60% | 2-4 | 50% | 8-9 | 89% | 1 | 1 | 4 | 0 | 7 | 1 | F | Golden State |\n| Klay Thompson | 36 | 18 | 6 | 2 | 8-19 | 42% | 1-7 | 14% | 1-2 | 50% | 0 | 5 | 0 | 1 | 5 | 3 | G | Golden State |\n| Zaza Pachulia | 22 | 10 | 7 | 2 | 4-5 | 80% | 0-0 | 0% | 2-2 | 100% | 3 | 1 | 0 | 5 | 2 | 5 | C | Golden State |\n| Draymond Green | 32 | 9 | 7 | 10 | 4-9 | 44% | 1-4 | 25% | 0-0 | 0% | 2 | 4 | 2 | 1 | 6 | 5 | F | Golden State |\n| Andre Iguodala | 29 | 8 | 7 | 5 | 3-6 | 50% | 1-1 | 100% | 1-2 | 50% | 1 | 0 | 0 | 2 | 5 | 0 | N/A | Golden State |\n| Shaun Livingston | 19 | 6 | 2 | 0 | 3-4 | 75% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 0 | N/A | Golden State |\n| Ian Clark | 10 | 4 | 0 | 0 | 1-5 | 20% | 0-2 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 0 | 3 | N/A | Golden State |\n| JaVale McGee | 4 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 1 | N/A | Golden State |\n| David West | 15 | 2 | 5 | 2 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 1 | 4 | 1 | N/A | Golden State |\n| Patrick McCaw | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Kevon Looney | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Anderson Varejao | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |" + } + ] + }, + { + "id": "table_recognition_train_item_116513", + "image": "table_instructV/images/Rotowire_train_table_2599.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Knicks | New York | 101 | 26 | 28 | 25 | 22 | 24 | 49 | 18 | 51 | 83 | 23 | 15 | 62 | | | | |\n| 76ers | Philadelphia | 91 | 20 | 31 | 21 | 19 | 22 | 36 | 10 | 38 | 63 | 31 | 18 | 60 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Knicks | | | | | | | | | | | | | | | | | | |\n| Andrea Bargnani | 34 | 25 | 8 | 4 | 8-15 | 53% | 2-3 | 67% | 7-8 | 88% | 0 | 2 | 4 | 3 | 5 | 0 | C | New York |\n| Shane Larkin | 41 | 15 | 11 | 7 | 4-8 | 50% | 0-0 | 0% | 7-8 | 88% | 1 | 0 | 0 | 2 | 9 | 3 | G | New York |\n| Lance Thomas | 30 | 14 | 9 | 1 | 6-8 | 75% | 0-1 | 0% | 2-2 | 100% | 0 | 2 | 1 | 4 | 5 | 1 | F | New York |\n| Tim Hardaway Jr. | 26 | 12 | 1 | 4 | 5-11 | 46% | 1-5 | 20% | 1-1 | 100% | 1 | 3 | 0 | 0 | 1 | 1 | N/A | New York |\n| Lou Amundson | 21 | 8 | 4 | 2 | 2-2 | 100% | 0-0 | 0% | 4-6 | 67% | 1 | 3 | 3 | 0 | 4 | 3 | F | New York |\n| Langston Galloway | 28 | 8 | 5 | 1 | 4-12 | 33% | 0-3 | 0% | 0-0 | 0% | 0 | 2 | 1 | 0 | 5 | 4 | G | New York |\n| Quincy Acy | 20 | 7 | 9 | 2 | 3-4 | 75% | 0-0 | 0% | 1-2 | 50% | 2 | 2 | 1 | 4 | 5 | 3 | N/A | New York |\n| Ricky Ledo | 19 | 6 | 1 | 2 | 3-6 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 0 | 1 | N/A | New York |\n| Jason Smith | 20 | 6 | 1 | 1 | 2-6 | 33% | 0-0 | 0% | 2-2 | 100% | 1 | 2 | 4 | 1 | 0 | 2 | N/A | New York |\n| Travis Wear | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Cole Aldrich | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Cleanthony Early | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Ish Smith | 32 | 17 | 1 | 7 | 8-18 | 44% | 1-4 | 25% | 0-1 | 0% | 2 | 1 | 0 | 0 | 1 | 3 | G | Philadelphia |\n| Hollis Thompson | 26 | 17 | 1 | 2 | 6-11 | 55% | 5-6 | 83% | 0-0 | 0% | 1 | 0 | 0 | 1 | 0 | 2 | N/A | Philadelphia |\n| Nerlens Noel | 37 | 14 | 9 | 4 | 7-14 | 50% | 0-0 | 0% | 0-1 | 0% | 1 | 1 | 2 | 5 | 4 | 3 | F | Philadelphia |\n| Robert Covington | 29 | 14 | 3 | 2 | 4-13 | 31% | 3-10 | 30% | 3-4 | 75% | 1 | 3 | 0 | 2 | 1 | 3 | G | Philadelphia |\n| Henry Sims | 16 | 12 | 7 | 0 | 5-10 | 50% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 3 | 3 | 4 | 1 | N/A | Philadelphia |\n| Jason Richardson | 23 | 7 | 3 | 1 | 3-11 | 27% | 1-6 | 17% | 0-0 | 0% | 0 | 2 | 0 | 2 | 1 | 0 | N/A | Philadelphia |\n| Jerami Grant | 27 | 4 | 1 | 1 | 2-7 | 29% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 4 | F | Philadelphia |\n| Furkan Aldemir | 29 | 4 | 9 | 2 | 2-7 | 29% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 5 | 4 | 4 | C | Philadelphia |\n| JaKarr Sampson | 17 | 2 | 1 | 3 | 1-6 | 17% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 3 | N/A | Philadelphia |\n| Glenn Robinson | 5 | 0 | 1 | 0 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | Philadelphia |\n| Luc Mbah a Moute | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Isaiah Canaan | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Thomas Robinson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |" + } + ] + }, + { + "id": "table_recognition_train_item_68618", + "image": "table_instructV/images/TabFact_1-26611679-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| category | player | games played | totals | average |\n| --- | --- | --- | --- | --- |\n| points per game | gary ervin ( wollongong hawks ) | 27 | 542 | 20.1 |\n| rebounds per game | julian khazzouh ( sydney kings ) | 26 | 271 | 10.0 |\n| assists per game | corey williams ( melbourne tigers ) | 23 | 140 | 6.1 |\n| steals per game | damian martin ( perth wildcats ) | 28 | 64 | 2.3 |\n| blocks per game | adam ballinger ( adelaide 36ers ) | 26 | 50 | 1.9 |\n| field goal percentage | mika vukona ( new zealand breakers ) | 28 | 105 - 173 | 60.7% |\n| three - point field goal percentage | russell hinder ( townsville crocodiles ) | 26 | 30 - 67 | 44.8% |" + } + ] + }, + { + "id": "table_recognition_train_item_64524", + "image": "table_instructV/images/TabFact_2-1219777-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| year | team | co - drivers | class | laps | pos | class pos |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1981 | martini racing | beppe gabbiani | gr5 | 47 | dnf | dnf |\n| 1998 | gulf team davidoff gtc competition | dr thomas bscher rinaldo capello | gt1 | 228 | dnf | dnf |\n| 1999 | audi sport team joest | frank biela didier theys | lmp | 360 | 3rd | 2nd |\n| 2000 | audi sport team joest | tom kristensen frank biela | lmp900 | 368 | 1st | 1st |\n| 2001 | audi sport team joest | tom kristensen frank biela | lmp900 | 321 | 1st | 1st |\n| 2002 | audi sport team joest | tom kristensen frank biela | lmp900 | 375 | 1st | 1st |\n| 2003 | champion racing | stefan johansson jj lehto | lmp900 | 372 | 3rd | 1st |\n| 2004 | adt champion racing | jj lehto marco werner | lmp1 | 368 | 3rd | 3rd |\n| 2005 | adt champion racing | frank biela allan mcnish | lmp1 | 364 | 3rd | 3rd |\n| 2006 | audi sport team joest | frank biela marco werner | lmp1 | 380 | 1st | 1st |\n| 2007 | audi sport team joest | frank biela marco werner | lmp1 | 369 | 1st | 1st |\n| 2008 | audi sport north america | frank biela marco werner | lmp1 | 367 | 6th | 6th |\n| 2010 | drayson racing | paul drayson jonny cocker | lmp1 | 254 | nc | nc |" + } + ] + }, + { + "id": "table_recognition_train_item_49642", + "image": "table_instructV/images/TAT-QA_e75bf4d5-2502-4441-83a0-81ac13e9720f.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | | December 31, | | |\n| --- | --- | --- | --- | --- |\n| (in thousands of $) | 2018 | 2017 | Change | % Change |\n| Total other non-operating expense | — | (81) | 81 | (100)% |\n| Interest income | 10,133 | 5,890 | 4,243 | 72% |\n| Interest expense | (101,908) | (59,305) | (42,603) | 72% |\n| (Losses)/gains on derivative instruments | (30,541) | 20,696 | (51,237) | (248)% |\n| Other financial items, net | (1,481) | (69) | (1,412) | 2,046% |\n| Income taxes | (1,267) | (1,505) | 238 | (16)% |\n| Net income attributable to non-controlling interests | (63,214) | (34,424) | (28,790) | 84% |" + } + ] + }, + { + "id": "table_recognition_train_item_108280", + "image": "table_instructV/images/ToTTo_train_table_34849.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Rank | Group | Athlete | Nationality | #1 | #2 | #3 | Result | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | A | Robert Harting | Germany (GER) | 66.81 | | | 66.81 | Q |\n| 2 | A | Gerd Kanter | Estonia (EST) | 66.73 | | | 66.73 | Q |\n| 3 | B | Zoltán Kővágó | Hungary (HUN) | x | 65.82 | | 65.82 | Q |\n| 4 | B | Jarred Rome | United States (USA) | 60.92 | 65.51 | | 65.51 | Q |\n| 5 | A | Casey Malone | United States (USA) | 65.13 | | | 65.13 | Q |\n| 6 | B | Virgilijus Alekna | Lithuania (LTU) | 65.04 | | | 65.04 | Q |\n| 7 | A | Mario Pestano | Spain (ESP) | 65.03 | | | 65.03 | Q |\n| 8 | B | Piotr Małachowski | Poland (POL) | 64.20 | 64.48 | 62.65 | 64.48 | q |\n| 9 | A | Bogdan Pishchalnikov | Russia (RUS) | 62.93 | 61.09 | 60.08 | 62.93 | q |\n| 10 | A | Omar Ahmed El Ghazaly | Egypt (EGY) | 62.84 | 62.09 | x | 62.84 | q |\n| 11 | B | Gerhard Mayer | Austria (AUT) | 62.53 | 59.33 | 62.19 | 62.53 | q |\n| 12 | B | Frantz Kruger | Finland (FIN) | 62.29 | x | 60.45 | 62.29 | q |\n| 13 | A | Aleksander Tammert | Estonia (EST) | 62.24 | 61.93 | 59.44 | 62.24 | |\n| 14 | A | Ian Waltz | United States (USA) | x | 60.27 | 62.04 | 62.04 | |\n| 15 | A | Benn Harradine | Australia (AUS) | 60.73 | 61.74 | 60.79 | 61.74 | |\n| 16 | B | Frank Casañas | Spain (ESP) | x | x | 61.10 | 61.10 | |\n| 17 | A | Gaute Myklebust | Norway (NOR) | x | 60.80 | x | 60.80 | |\n| 18 | A | Bertrand Vili | France (FRA) | 60.68 | x | x | 60.68 | |\n| 19 | B | Erik Cadee | Netherlands (NED) | x | 60.64 | x | 60.64 | |\n| 20 | B | Markus Münch | Germany (GER) | 60.55 | x | 59.12 | 60.55 | |\n| 21 | B | Ivan Hryshyn | Ukraine (UKR) | 59.93 | 57.28 | x | 59.93 | |\n| 22 | B | Märt Israel | Estonia (EST) | 59.58 | x | | 59.58 | |\n| 23 | A | Jorge Balliengo | Argentina (ARG) | 56.69 | 55.32 | 59.19 | 59.19 | |\n| 24 | B | Ahmed Mohamed Dheeb | Qatar (QAT) | 55.33 | 59.16 | x | 59.16 | |\n| 25 | B | Nikolay Sedyuk | Russia (RUS) | x | 59.03 | 58.62 | 59.03 | |\n| 26 | A | Oleksiy Semenov | Ukraine (UKR) | 58.78 | 57.31 | x | 58.78 | |\n| 27 | A | Daniel Schärer | Switzerland (SUI) | 58.50 | 58.23 | 57.22 | 58.50 | |\n| 28 | B | Germán Lauro | Argentina (ARG) | 57.88 | x | x | 57.88 | |\n| 29 | B | Ercüment Olgundeniz | Turkey (TUR) | 56.54 | x | 57.52 | 57.52 | |\n| | A | Haidar Nasir | Iraq (IRQ) | x | x | x | NM | |" + } + ] + }, + { + "id": "table_recognition_train_item_54044", + "image": "table_instructV/images/TabFact_2-17333702-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| year | network | title | notes | language |\n| --- | --- | --- | --- | --- |\n| 2007 | sbs | star king | guest | korean |\n| 2008 | cctv | 勇往直前 | guest | mandarin chinese |\n| 2009 | ctv | variety big brother | guest | mandarin chinese |\n| 2009 | hbs | happy camp | guest | mandarin chinese |\n| 2009 | sbs | star king | guest | korean |\n| 2011 | sbs | strong heart | guest | korean |\n| 2011 | cctv | 开心歌迷汇 | guest | mandarin chinese |\n| 2011 | ctv | variety big brother | guest | mandarin chinese |\n| 2013 | olive tv | masterchef korea celebrity | celebrity participant | korean |\n| 2013 | hbs | happy camp | guest | mandarin chinese |\n| 2013 | kbs2 | happy together | guest | korean |\n| 2013 | kbs | hello counselor | guest | korean |\n| 2013 | kbs | mamma mia | guest | korean |" + } + ] + }, + { + "id": "table_recognition_train_item_66960", + "image": "table_instructV/images/TabFact_1-290017-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| code | subdivision name ( be ) (bgn / pcgn) | subdivision name ( be ) (gost) | subdivision name ( ru ) (bgn / pcgn) | subdivision name ( ru ) (gost) | subdivision category |\n| --- | --- | --- | --- | --- | --- |\n| by - br | brestskaya voblasts' | brèsckaja voblasc' | brestskaya oblast' | brestskaja oblast' | oblast |\n| by - ho | homyel 'skaya voblasts' | homel 'skaja voblasc' | gomel 'skaya oblast' | gomel 'skaja oblast' | oblast |\n| by - hr | hrodzenskaya voblasts' | hrodzenskaja voblasc' | grodnenskaya oblast' | grodnenskaja oblast' | oblast |\n| by - ma | mahilyowskaya voblasts' | mahilëuskaja voblasc' | mogilevskaya oblast' | mogilevskaja oblast' | oblast |\n| by - mi | minskaya voblasts' | minskaja voblasc' | minskaya oblast' | minskaja oblast' | oblast |\n| by - vi | vitsyebskaya voblasts' | vicebskaja voblasc' | vitebskaya oblast' | vitebskaja oblast' | oblast |" + } + ] + }, + { + "id": "table_recognition_train_item_32871", + "image": "table_instructV/images/TABMWP_23147.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $480 | 17,800 | 5,000 |\n| $660 | 14,800 | 8,500 |\n| $840 | 11,800 | 12,000 |\n| $1,020 | 8,800 | 15,500 |\n| $1,200 | 5,800 | 19,000 |" + } + ] + }, + { + "id": "table_recognition_train_item_35218", + "image": "table_instructV/images/TABMWP_26963.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Number of platters | Number of donuts |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_103728", + "image": "table_instructV/images/ToTTo_train_table_15617.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | 24–9 | Roger Carroll | Submission (choke) | FTP: Fight Time in the Valley | August 9, 2014 | 1 | 4:37 | Marble, North Carolina, United States | |\n| Loss | 24–8 | Dominique Steele | Decision (unanimous) | Driven MMA: One | March 1, 2014 | 3 | 5:00 | Canton, Ohio, United States | |\n| Loss | 24–7 | Ryo Chonan | Decision (unanimous) | DEEP: Tribe Tokyo Fight | October 20, 2013 | 3 | 5:00 | Tokyo, Japan | Lost the DEEP Welterweight Championship |\n| Loss | 24–6 | Dennis Hallman | Decision (majority) | Titan FC 26 | August 30, 2013 | 3 | 5:00 | Kansas City, Missouri, United States | |\n| Win | 24–5 | Yuya Shirai | Decision (unanimous) | DEEP: Impact 62 | April 26, 2013 | 3 | 5:00 | Tokyo, Japan | Won DEEP Welterweight Championship. |\n| Win | 23–5 | Pete Spratt | Decision (unanimous) | Legacy FC 17 | February 1, 2013 | 3 | 5:00 | San Antonio, Texas, United States | |\n| Loss | 22–5 | Luis Santos | Decision (unanimous) | Bellator 49 | September 10, 2011 | 3 | 5:00 | Atlantic City, New Jersey, United States | Welterweight Tournament Quarterfinal |\n| Loss | 22–4 | Brent Weedman | Decision (unanimous) | Bellator 35 | March 5, 2011 | 3 | 5:00 | Lemoore, California, United States | Welterweight Tournament Quarterfinal |\n| Win | 22–3 | Brad Blackburn | Decision (unanimous) | Bellator 25 | August 19, 2010 | 3 | 5:00 | Chicago, Illinois, United States | |\n| Loss | 21–3 | Ben Askren | Decision (unanimous) | Bellator 22 | June 17, 2010 | 3 | 5:00 | Kansas City, Missouri, United States | Welterweight Tournament Final |\n| Win | 21–2 | Steve Carl | Submission (kimura) | Bellator 19 | May 20, 2010 | 1 | 2:31 | Grand Prairie, Texas, United States | Welterweight Tournament Semifinal |\n| Win | 20–2 | Tyler Stinson | Submission (triangle choke) | Bellator 15 | April 22, 2010 | 1 | 2:03 | Uncasville, Connecticut, United States | Welterweight Tournament Quarterfinal |\n| Win | 19–2 | Nick Thompson | TKO (punches) | World Victory Road Presents: Sengoku 10 | September 23, 2009 | 2 | 1:30 | Saitama, Saitama, Japan | |\n| Win | 18–2 | Akihiro Gono | KO (head kick) | World Victory Road Presents: Sengoku 9 | August 2, 2009 | 3 | 2:50 | Saitama, Saitama, Japan | |\n| Win | 17–2 | Joe Alexander | KO (punches) | TFC: Hornbuckle vs. Alexander | February 21, 2009 | 1 | 0:46 | Hammond, Indiana, United States | |\n| Win | 16–2 | Nabil Khatib | Submission (rear-naked choke) | Raw Combat: Resurrection | June 20, 2008 | 1 | 3:58 | Calgary, Alberta, Canada | |\n| Loss | 15–2 | Mike Pyle | Submission (triangle choke) | World Victory Road Presents: Sengoku 2 | May 18, 2008 | 1 | 4:52 | Tokyo, Japan | |\n| Win | 15–1 | Andrew Buckland | Submission (armbar) | HCF: Crow's Nest | March 29, 2008 | 1 | 3:34 | Gatineau, Quebec, Canada | |\n| Win | 14–1 | Courtney Ray | Submission (armbar) | HOOKnSHOOT: Bodog Fight Women's Tournament | November 24, 2007 | 1 | 1:25 | Evansville, Indiana, United States | |\n| Win | 13–1 | Piotr Jakaczynski | KO (head kick) | BodogFIGHT: Vancouver | August 25, 2007 | 1 | 1:53 | Vancouver, British Columbia, Canada | |\n| Win | 12–1 | Matt Shaw | Submission (arm-triangle choke) | Total Fight Challenge 8 | April 28, 2007 | 2 | 2:53 | Hammond, Indiana, United States | |\n| Win | 11–1 | Courtney Ray | TKO (punches) | HOOKnSHOOT: Live | March 24, 2007 | 1 | 2:49 | Evansville, Indiana, United States | |\n| Win | 10–1 | Jamie Toney | Decision (unanimous) | HOOKnSHOOT: Live | March 24, 2007 | 3 | 5:00 | Evansville, Indiana, United States | |\n| Win | 9–1 | Wayne Bogard | Submission (armbar) | HOOKnSHOOT: Live | March 24, 2007 | 1 | 2:34 | Evansville, Indiana, United States | |\n| Win | 8–1 | Alex Carter | Submission (arm-triangle choke) | Total Fight Challenge 7 | February 10, 2007 | 1 | 0:35 | Hammond, Indiana, United States | |\n| Win | 7–1 | Brent Weedman | Submission (triangle choke) | LOF 12: Black Tie Battles | December 31, 2006 | 2 | 3:31 | Indianapolis, Indiana, United States | |\n| Win | 6–1 | Max Fowler | Submission (verbal) | CFC 1: Explosion | December 16, 2006 | 1 | 0:30 | Tinley Park, Illinois, United States | |\n| Win | 5–1 | Wayne Bogard | Submission (arm-triangle choke) | IHC 11: Apocalypse | November 18, 2006 | 1 | 0:36 | Hammond, Indiana, United States | |\n| Win | 4–1 | Justin Wilcox | TKO (punches) | Total Fight Challenge 6 | September 9, 2006 | 1 | 1:20 | Hammond, Indiana, United States | |\n| Win | 3–1 | Andy Normington | KO (punches) | Madtown Throwdown 8 | July 15, 2006 | N/A | N/A | Madison, Wisconsin, United States | |\n| Loss | 2–1 | Nate Homme | Submission (triangle choke) | Madtown Throwdown 8 | July 15, 2006 | N/A | N/A | Madison, Wisconsin, United States | |\n| Win | 2–0 | Steve Conley | TKO (punches) | Duneland Classic 4 | June 17, 2006 | 1 | N/A | Portage, Indiana, United States | |\n| Win | 1–0 | Mike Bodziak | TKO (punches) | Total Fight Challenge 5 | February 18, 2006 | 1 | N/A | Hammond, Indiana, United States | |" + } + ] + }, + { + "id": "table_recognition_train_item_31868", + "image": "table_instructV/images/TABMWP_12032.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 6 | 20 |\n| 7 | 14 |\n| 8 | 8 |" + } + ] + }, + { + "id": "table_recognition_train_item_31565", + "image": "table_instructV/images/TABMWP_8784.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 2 | 5 |\n| 3 | 3 |\n| 4 | 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_32332", + "image": "table_instructV/images/TABMWP_16827.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $330 | 23,000 | 1,300 |\n| $520 | 21,500 | 2,000 |\n| $710 | 20,000 | 2,700 |\n| $900 | 18,500 | 3,400 |\n| $1,090 | 17,000 | 4,100 |" + } + ] + }, + { + "id": "table_recognition_train_item_102290", + "image": "table_instructV/images/ToTTo_train_table_9614.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| 20 May 2015 Final | APOEL | 4–2 | AEL Limassol | GSZ Stadium, Larnaca |\n| --- | --- | --- | --- | --- |\n| 19:00 EET | De Vincenti 31' Efrem 45', 53' Riise 60' | (Report 1) (Report 2) | Sema 11' Sielis 90' | Attendance: 10,177 Referee: Czech Republic Pavel Královec |" + } + ] + }, + { + "id": "table_recognition_train_item_58542", + "image": "table_instructV/images/TabFact_2-11536-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| election | dã¡il | share of votes | seats | total seats |\n| --- | --- | --- | --- | --- |\n| 1927 (jun) | 5th | 26.2% | 44 | 153 |\n| 1927 (sep) | 6th | 35.2% | 57 | 153 |\n| 1932 | 7th | 44.5% | 72 | 153 |\n| 1933 | 8th | 49.7% | 76 | 153 |\n| 1937 | 9th | 45.2% | 68 | 138 |\n| 1938 | 10th | 51.9% | 76 | 138 |\n| 1943 | 11th | 41.8% | 66 | 138 |\n| 1944 | 12th | 48.9% | 75 | 138 |\n| 1948 | 13th | 41.9% | 67 | 147 |\n| 1951 | 14th | 46.3% | 68 | 147 |\n| 1954 | 15th | 43.4% | 65 | 147 |\n| 1957 | 16th | 48.3% | 78 | 147 |\n| 1961 | 17th | 43.8% | 70 | 144 |\n| 1965 | 18th | 47.7% | 72 | 144 |\n| 1969 | 19th | 44.6% | 74 | 144 |\n| 1973 | 20th | 46.2% | 68 | 144 |\n| 1977 | 21st | 50.6% | 84 | 148 |\n| 1981 | 22nd | 45.3% | 77 | 166 |\n| 1982 (feb) | 23rd | 47.3% | 81 | 166 |\n| 1982 (nov) | 24th | 45.2% | 75 | 166 |\n| 1987 | 25th | 44.2% | 81 | 166 |\n| 1989 | 26th | 44.2% | 77 | 166 |\n| 1992 | 27th | 39.1% | 68 | 166 |\n| 1997 | 28th | 39.3% | 77 | 166 |\n| 2002 | 29th | 41.5% | 81 | 166 |\n| 2007 | 30th | 41.6% | 77 | 166 |\n| 2011 | 31st | 17.4% | 20 | 166 |" + } + ] + }, + { + "id": "table_recognition_train_item_112553", + "image": "table_instructV/images/Rotowire_train_table_619.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Magic | Orlando | 90 | 17 | 23 | 21 | 24 | 17 | 50 | 18 | 42 | 58 | 27 | 19 | 40 | | | | |\n| Heat | Miami | 93 | 17 | 19 | 25 | 24 | 17 | 42 | 12 | 38 | 72 | 19 | 25 | 31 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Nikola Vucevic | 41 | 26 | 8 | 0 | 10-21 | 48% | 0-0 | 0% | 6-9 | 67% | 1 | 4 | 0 | 2 | 6 | 4 | C | Orlando |\n| Victor Oladipo | 42 | 13 | 13 | 4 | 4-13 | 31% | 0-3 | 0% | 5-6 | 83% | 0 | 4 | 0 | 2 | 11 | 3 | G | Orlando |\n| Tobias Harris | 39 | 12 | 8 | 0 | 4-11 | 36% | 2-6 | 33% | 2-2 | 100% | 1 | 2 | 1 | 2 | 6 | 3 | F | Orlando |\n| Willie Green | 29 | 12 | 6 | 1 | 5-10 | 50% | 2-6 | 33% | 0-0 | 0% | 0 | 0 | 0 | 1 | 5 | 5 | N/A | Orlando |\n| Evan Fournier | 26 | 10 | 1 | 2 | 4-6 | 67% | 1-3 | 33% | 1-2 | 50% | 0 | 2 | 0 | 1 | 0 | 3 | N/A | Orlando |\n| Aaron Gordon | 9 | 6 | 1 | 1 | 3-3 | 100% | 0-0 | 0% | 0-2 | 0% | 1 | 1 | 0 | 0 | 1 | 2 | N/A | Orlando |\n| Channing Frye | 14 | 5 | 2 | 0 | 1-3 | 33% | 1-3 | 33% | 2-2 | 100% | 0 | 1 | 0 | 1 | 1 | 4 | F | Orlando |\n| Dewayne Dedmon | 17 | 3 | 6 | 0 | 1-2 | 50% | 0-0 | 0% | 1-4 | 25% | 0 | 1 | 0 | 2 | 4 | 1 | N/A | Orlando |\n| Elfrid Payton | 39 | 3 | 5 | 9 | 1-8 | 13% | 0-0 | 0% | 1-4 | 25% | 1 | 3 | 0 | 1 | 4 | 2 | G | Orlando |\n| Luke Ridnour | 9 | 0 | 0 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Orlando |\n| Kyle O'Quinn | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Ben Gordon | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Andrew Nicholson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Luol Deng | 40 | 21 | 7 | 2 | 8-14 | 57% | 1-2 | 50% | 4-6 | 67% | 1 | 0 | 0 | 1 | 6 | 2 | F | Miami |\n| Dwyane Wade | 37 | 18 | 2 | 6 | 6-19 | 32% | 1-4 | 25% | 5-6 | 83% | 3 | 4 | 0 | 0 | 2 | 2 | G | Miami |\n| Hassan Whiteside | 37 | 15 | 13 | 0 | 5-8 | 63% | 0-0 | 0% | 5-8 | 63% | 0 | 0 | 3 | 4 | 9 | 5 | C | Miami |\n| Henry Walker | 33 | 10 | 6 | 2 | 3-13 | 23% | 2-11 | 18% | 2-2 | 100% | 2 | 0 | 0 | 0 | 6 | 3 | N/A | Miami |\n| Goran Dragic | 41 | 8 | 4 | 5 | 3-10 | 30% | 0-3 | 0% | 2-2 | 100% | 1 | 2 | 0 | 1 | 3 | 4 | G | Miami |\n| Mario Chalmers | 33 | 8 | 1 | 1 | 2-10 | 20% | 1-8 | 13% | 3-4 | 75% | 0 | 1 | 0 | 0 | 1 | 3 | N/A | Miami |\n| Shabazz Napier | 12 | 5 | 1 | 0 | 2-3 | 67% | 1-2 | 50% | 0-0 | 0% | 0 | 2 | 0 | 1 | 0 | 3 | N/A | Miami |\n| Udonis Haslem | 12 | 4 | 2 | 0 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 1 | 2 | F | Miami |\n| Chris Andersen | 15 | 4 | 5 | 1 | 1-3 | 33% | 0-1 | 0% | 2-4 | 50% | 1 | 3 | 1 | 0 | 5 | 0 | N/A | Miami |\n| James Ennis III | 4 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Miami |\n| Tyler Johnson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Zoran Dragic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |" + } + ] + }, + { + "id": "table_recognition_train_item_116047", + "image": "table_instructV/images/Rotowire_train_table_2366.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bucks | Milwaukee | 91 | 30 | 21 | 14 | 26 | 25 | 44 | 16 | 46 | 60 | 50 | 33 | 29 | | | | |\n| Wizards | Washington | 85 | 19 | 20 | 24 | 22 | 19 | 49 | 17 | 38 | 64 | 32 | 35 | 28 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Bucks | | | | | | | | | | | | | | | | | | |\n| Khris Middleton | 37 | 30 | 9 | 1 | 11-20 | 55% | 6-9 | 67% | 2-3 | 67% | 2 | 2 | 0 | 1 | 8 | 2 | G | Milwaukee |\n| Jerryd Bayless | 21 | 13 | 4 | 4 | 4-8 | 50% | 1-1 | 100% | 4-4 | 100% | 1 | 3 | 0 | 0 | 4 | 1 | N/A | Milwaukee |\n| Michael Carter-Williams | 27 | 12 | 3 | 9 | 6-11 | 55% | 0-1 | 0% | 0-0 | 0% | 1 | 4 | 0 | 1 | 2 | 1 | G | Milwaukee |\n| Ersan Ilyasova | 24 | 10 | 5 | 2 | 4-7 | 57% | 2-3 | 67% | 0-0 | 0% | 0 | 1 | 0 | 0 | 5 | 5 | F | Milwaukee |\n| Chris Johnson | 21 | 7 | 0 | 1 | 3-5 | 60% | 1-3 | 33% | 0-0 | 0% | 1 | 0 | 1 | 0 | 0 | 0 | N/A | Milwaukee |\n| John Henson | 23 | 6 | 7 | 0 | 2-2 | 100% | 0-0 | 0% | 2-4 | 50% | 0 | 2 | 4 | 3 | 4 | 1 | N/A | Milwaukee |\n| Giannis Antetokounmpo | 37 | 5 | 4 | 0 | 2-10 | 20% | 0-0 | 0% | 1-4 | 25% | 2 | 2 | 1 | 0 | 4 | 5 | F | Milwaukee |\n| Zaza Pachulia | 25 | 4 | 8 | 5 | 2-6 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 3 | 5 | 3 | C | Milwaukee |\n| Jared Dudley | 25 | 4 | 4 | 3 | 2-9 | 22% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 2 | 2 | 0 | N/A | Milwaukee |\n| Johnny O'Bryant III | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Miles Plumlee | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Tyler Ennis | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| O.J. Mayo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| Paul Pierce | 24 | 14 | 8 | 3 | 4-15 | 27% | 3-9 | 33% | 3-4 | 75% | 1 | 4 | 0 | 4 | 4 | 5 | F | Washington |\n| John Wall | 36 | 11 | 9 | 6 | 3-14 | 21% | 2-6 | 33% | 3-5 | 60% | 2 | 3 | 0 | 2 | 7 | 1 | G | Washington |\n| Garrett Temple | 21 | 11 | 2 | 1 | 4-6 | 67% | 1-2 | 50% | 2-4 | 50% | 2 | 0 | 0 | 0 | 2 | 3 | N/A | Washington |\n| Marcin Gortat | 35 | 10 | 9 | 1 | 5-7 | 71% | 0-0 | 0% | 0-0 | 0% | 1 | 3 | 1 | 1 | 8 | 2 | C | Washington |\n| Ramon Sessions | 16 | 10 | 2 | 1 | 4-7 | 57% | 1-1 | 100% | 1-1 | 100% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Washington |\n| Nene | 29 | 9 | 4 | 2 | 3-7 | 43% | 0-0 | 0% | 3-6 | 50% | 1 | 1 | 1 | 3 | 1 | 1 | F | Washington |\n| Rasual Butler | 36 | 9 | 3 | 1 | 3-11 | 27% | 1-7 | 14% | 2-2 | 100% | 0 | 4 | 1 | 0 | 3 | 3 | N/A | Washington |\n| Drew Gooden | 22 | 5 | 10 | 1 | 2-8 | 25% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 4 | 6 | 2 | N/A | Washington |\n| Kevin Seraphin | 8 | 4 | 1 | 1 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 1 | N/A | Washington |\n| Otto Porter | 12 | 2 | 1 | 2 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 1 | G | Washington |\n| Martell Webster | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Washington |\n| Bradley Beal | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| DeJuan Blair | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |" + } + ] + }, + { + "id": "table_recognition_train_item_49532", + "image": "table_instructV/images/TAT-QA_dd9f455a-73fe-43a7-bde1-41e71bf18722.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| (In thousands) | 2019 | 2018 | 2017 |\n| --- | --- | --- | --- |\n| Stock-based compensation expense included in cost of sales | $369 | $418 | $379 |\n| Selling, general and administrative expense | 3,889 | 3,989 | 4,063 |\n| Research and development expense | 2,704 | 2,748 | 2,991 |\n| Stock-based compensation expense included in operating expenses | 6,593 | 6,737 | 7,054 |\n| Total stock-based compensation expense | 6,962 | 7,155 | 7,433 |\n| Tax benefit for expense associated with non-qualified options, PSUs, RSUs and restricted stock | (1,659) | (1,432) | (1,699) |\n| Total stock-based compensation expense, net of tax | $5,303 | $5,723 | $5,734 |" + } + ] + }, + { + "id": "table_recognition_train_item_51350", + "image": "table_instructV/images/TAT-QA_2192e4c8-d543-4f5b-b218-2df8a1259d68.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| | | YearEnded | |\n| --- | --- | --- | --- |\n| | June 30, 2019 | June 24, 2018 | June 25, 2017 |\n| | | (in thousands) | |\n| Contractual interest coupon | $100,712 | $77,091 | $95,195 |\n| Amortization of interest discount | 3,937 | 12,225 | 22,873 |\n| Amortization of issuance costs | 1,426 | 2,034 | 2,414 |\n| Effect of interest rate contracts, net | 4,086 | 3 | (4,756) |\n| Total interest cost recognized | $110,161 | $91,353 | $115,726 |" + } + ] + }, + { + "id": "table_recognition_train_item_50746", + "image": "table_instructV/images/TAT-QA_8301f2ec-ef3f-4f36-bf65-f543b238c62e.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| | Year Ended | |\n| --- | --- | --- |\n| | June 30 | |\n| | 2019 | 2018 |\n| Net income | $271,885 | $365,034 |\n| Non-cash expenses | 180,987 | 87,906 |\n| Change in receivables | (11,777) | 21,489 |\n| Change in deferred revenue | 23,656 | 1,255 |\n| Change in other assets and liabilities | (33,623) | (63,542) |\n| Net cash provided by operating activities | $431,128 | $412,142 |" + } + ] + }, + { + "id": "table_recognition_train_item_51562", + "image": "table_instructV/images/TAT-QA_ddcffea9-d096-4178-8830-fc4574d9f20e.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | CHAIR | | MEMBER | |\n| --- | --- | --- | --- | --- |\n| | F19 FEE | F20 FEE | F19 FEE | F20 FEE |\n| BOARD AND COMMITTEE FEES ($) | INCL. SUPER | INCL. SUPER | INCL. SUPER | INCL. SUPER |\n| Board | $790,531 | $790,531 | $254,990 | $254,990 |\n| Audit, Risk Management and Compliance Committee | $65,000 | $65,000 | $32,500 | $32,500 |\n| People Performance Committee | $54,525 | $65,000 | $27,265 | $32,500 |\n| Sustainability Committee | $45,000 | $65,000 | $22,500 | $32,500 |\n| Nomination Committee | Nil | Nil | Nil | Nil |" + } + ] + }, + { + "id": "table_recognition_train_item_117897", + "image": "table_instructV/images/Rotowire_train_table_3291.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Lakers | Los Angeles | 106 | 27 | 30 | 25 | 24 | 20 | 37 | 12 | 44 | 81 | 38 | 21 | 59 | | | | |\n| Mavericks | Dallas | 120 | 33 | 29 | 27 | 31 | 31 | 42 | 12 | 54 | 77 | 48 | 49 | 31 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Lakers | | | | | | | | | | | | | | | | | | |\n| Jordan Clarkson | 39 | 26 | 1 | 6 | 9-19 | 47% | 3-6 | 50% | 5-5 | 100% | 2 | 4 | 1 | 0 | 1 | 4 | G | Los Angeles |\n| Jabari Brown | 42 | 18 | 2 | 2 | 4-13 | 31% | 2-6 | 33% | 8-9 | 89% | 0 | 1 | 0 | 0 | 2 | 2 | G | Los Angeles |\n| Wesley Johnson | 20 | 16 | 1 | 2 | 6-9 | 67% | 4-5 | 80% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | F | Los Angeles |\n| Ed Davis | 23 | 11 | 5 | 2 | 4-7 | 57% | 0-0 | 0% | 3-5 | 60% | 0 | 1 | 1 | 2 | 3 | 4 | N/A | Los Angeles |\n| Tarik Black | 33 | 10 | 19 | 0 | 3-5 | 60% | 0-0 | 0% | 4-6 | 67% | 1 | 3 | 1 | 3 | 16 | 3 | C | Los Angeles |\n| Ryan Kelly | 39 | 10 | 2 | 6 | 2-10 | 20% | 0-5 | 0% | 6-7 | 86% | 1 | 1 | 1 | 0 | 2 | 5 | F | Los Angeles |\n| Dwight Buycks | 24 | 10 | 1 | 2 | 4-11 | 36% | 0-2 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 1 | 2 | N/A | Los Angeles |\n| Robert Sacre | 19 | 5 | 6 | 0 | 2-4 | 50% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 1 | 5 | 0 | N/A | Los Angeles |\n| Jeremy Lin | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Nick Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Carlos Boozer | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Wayne Ellington | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Jordan Hill | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Mavericks | | | | | | | | | | | | | | | | | | |\n| Tyson Chandler | 27 | 20 | 9 | 1 | 9-10 | 90% | 0-0 | 0% | 2-4 | 50% | 0 | 0 | 2 | 2 | 7 | 2 | C | Dallas |\n| Richard Jefferson | 27 | 17 | 3 | 2 | 4-7 | 57% | 2-4 | 50% | 7-9 | 78% | 1 | 0 | 0 | 0 | 3 | 2 | F | Dallas |\n| Dirk Nowitzki | 29 | 16 | 4 | 1 | 5-10 | 50% | 2-4 | 50% | 4-4 | 100% | 1 | 2 | 0 | 0 | 4 | 2 | F | Dallas |\n| Raymond Felton | 18 | 15 | 2 | 3 | 7-10 | 70% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 2 | N/A | Dallas |\n| Charlie Villanueva | 20 | 14 | 4 | 1 | 5-11 | 46% | 3-6 | 50% | 1-2 | 50% | 2 | 0 | 1 | 1 | 3 | 3 | N/A | Dallas |\n| Rajon Rondo | 30 | 11 | 8 | 11 | 4-11 | 36% | 1-1 | 100% | 2-2 | 100% | 1 | 3 | 0 | 1 | 7 | 3 | G | Dallas |\n| Al-Farouq Aminu | 26 | 10 | 10 | 1 | 4-7 | 57% | 1-2 | 50% | 1-1 | 100% | 1 | 2 | 0 | 2 | 8 | 2 | N/A | Dallas |\n| J.J. Barea | 18 | 9 | 0 | 6 | 4-6 | 67% | 0-1 | 0% | 1-2 | 50% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Dallas |\n| Monta Ellis | 30 | 4 | 1 | 5 | 2-8 | 25% | 0-1 | 0% | 0-0 | 0% | 1 | 2 | 1 | 0 | 1 | 2 | G | Dallas |\n| Bernard James | 12 | 4 | 1 | 0 | 1-3 | 33% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 4 | 1 | 0 | 1 | N/A | Dallas |\n| Greg Smith | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Dallas |\n| Dwight Powell | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 0 | 0 | 0 | N/A | Dallas |\n| Amar'e Stoudemire | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |" + } + ] + }, + { + "id": "table_recognition_train_item_53936", + "image": "table_instructV/images/TabFact_2-13846706-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| statue | liberator | country | year erected | artist |\n| --- | --- | --- | --- | --- |\n| general josé gervasio artigas | josé gervasio artigas | uruguay | 1950 | juan manuel blanes (1830 - 1901) |\n| equestrian of simón bolívar | simón bolívar | venezuela | 1958 | felix de weldon (1907 - 2003) |\n| general jose de san martin memorial | josé de san martín | argentina | 1970s | augustin - alexandre dumont (1801 - 1884) |\n| bernardo de gálvez | bernardo de gálvez | spain | 1976 | juan de ávalos (1911 - 2006) |\n| benito juarez | benito juárez | mexico | 1969 | enrique alciati |" + } + ] + }, + { + "id": "table_recognition_train_item_31076", + "image": "table_instructV/images/TABMWP_3861.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 2 | 4 |\n| 3 | 12 |\n| 4 | 17 |" + } + ] + }, + { + "id": "table_recognition_train_item_34681", + "image": "table_instructV/images/TABMWP_10183.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Number of tool boxes | Number of nails |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | 40 |\n| 5 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_101820", + "image": "table_instructV/images/ToTTo_train_table_7739.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Channel |\n| --- | --- | --- | --- |\n| 2016 | Moray Saiyaan | Ghaziyan | ARY Digital |\n| 2017 | Shayad | Saad | Geo Entertainment |" + } + ] + }, + { + "id": "table_recognition_train_item_48474", + "image": "table_instructV/images/TAT-QA_1085435b-dbed-4791-8f29-425c766135e2.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | | September 30, |\n| --- | --- | --- |\n| | 2019 | 2018 |\n| Finished products | $10,905 | $7,099 |\n| Work in process and inventoried costs under long-term contracts | 46,951 | 63,169 |\n| Materials and purchased parts | 48,938 | 23,710 |\n| Customer advances | — | (9,779) |\n| Net inventories | $ 106,794 | $ 84,199 |" + } + ] + }, + { + "id": "table_recognition_train_item_34460", + "image": "table_instructV/images/TABMWP_3596.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Number of bracelets | Number of emeralds |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | 10 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_33206", + "image": "table_instructV/images/TABMWP_26926.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 2 | 9 |\n| 3 | 5 |\n| 4 | 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_33240", + "image": "table_instructV/images/TABMWP_27336.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Number of twigs | Number of butterflies |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_64532", + "image": "table_instructV/images/TabFact_1-24490665-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| position | name | stationed in | appointed | nominated by | position prior to appointment |\n| --- | --- | --- | --- | --- | --- |\n| justice | jean el côté | edmonton | 1987 | mulroney | lawyer at reynolds , mirth & cote |\n| justice | carole m conrad | calgary | 1992 | mulroney | court of queen 's bench of alberta |\n| justice | ellen i picard | edmonton | 1995 | chretien | court of queen 's bench of alberta |\n| justice | constance d hunt ( supernumerary ) | calgary | 1995 | chretien | court of queen 's bench of alberta |\n| justice | ronald l berger | edmonton | 1996 | chretien | court of queen 's bench of alberta |\n| justice | peter t costigan | edmonton | 1999 | chretien | court of queen 's bench of alberta |\n| justice | marina s paperny | calgary | 2001 | chretien | court of queen 's bench of alberta |\n| justice | keith g ritter ( supernumerary ) | edmonton | 2002 | chretien | court of queen 's bench of alberta |\n| justice | clifton d o'brien | calgary | 2005 | martin | lawyer at bennett jones llp |\n| justice | peter wl martin | calgary | 2005 | martin | court of queen 's bench of alberta |\n| justice | frans f slatter | edmonton | 2006 | harper | court of queen 's bench of alberta |\n| justice | jack watson | edmonton | 2006 | harper | court of queen 's bench of alberta |\n| justice | patricia a rowbotham | calgary | 2007 | harper | court of queen 's bench of alberta |\n| justice | j d bruce mcdonald | calgary | 2006 | harper | court of queen 's bench of alberta |\n| justice | myra b bielby | edmonton | 2010 | harper | court of queen 's bench of alberta |\n| justice | brian k o'ferrall | calgary | 2011 | harper | provincial court of alberta |" + } + ] + }, + { + "id": "table_recognition_train_item_60532", + "image": "table_instructV/images/TabFact_2-1616608-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| western title | chinese title | pinyin | released date | genre | game modes |\n| --- | --- | --- | --- | --- | --- |\n| nintendogs | 任天狗狗 | rèn tiāngǒu gǒu | 2009 / 2010 | platform | single - player , muti - player (1 - 2) |\n| new super mario bros | new 超级马力欧兄弟 | new chāojí mǎlìōu xiōngdì | 2009 | platform | single - player , muti - player (1 - 4) |\n| super mario 64 ds | 神游马力欧ds | shényóu mǎlìōu ds | 2007 | platform | single - player , muti - player (1 - 4) |\n| yoshi touch & go | 摸摸耀西 - 云中漫步 | mō mō yàoxi - yún zhōng mànbù | 14 february 2006 | platform | single - player , muti - player (1 - 2) |\n| polarium | 直感一笔 | zhígǎn yī bǐ | 2005 | puzzle | single - player |\n| warioware : touched! | 摸摸瓦力欧制造 | mō mō wǎlìōu zhìzào | 2005 | minigames | single - player |" + } + ] + }, + { + "id": "table_recognition_train_item_114667", + "image": "table_instructV/images/Rotowire_train_table_1676.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nuggets | Denver | 108 | 29 | 26 | 27 | 26 | 27 | 46 | 15 | 47 | 74 | 32 | 12 | 18 | | | | |\n| Hawks | Atlanta | 109 | 29 | 22 | 31 | 27 | 26 | 40 | 8 | 43 | 82 | 32 | 15 | 15 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Nuggets | | | | | | | | | | | | | | | | | | |\n| Danilo Gallinari | 33 | 21 | 11 | 2 | 5-10 | 50% | 2-4 | 50% | 9-10 | 90% | 0 | 3 | 1 | 2 | 9 | 3 | F | Denver |\n| Wilson Chandler | 27 | 19 | 11 | 2 | 9-17 | 53% | 1-4 | 25% | 0-3 | 0% | 1 | 0 | 0 | 1 | 10 | 5 | F | Denver |\n| Emmanuel Mudiay | 28 | 17 | 3 | 5 | 3-8 | 38% | 1-3 | 33% | 10-10 | 100% | 0 | 2 | 0 | 0 | 3 | 1 | G | Denver |\n| Gary Harris | 30 | 12 | 2 | 4 | 5-12 | 42% | 0-3 | 0% | 2-3 | 67% | 1 | 0 | 1 | 2 | 0 | 1 | G | Denver |\n| Will Barton | 34 | 12 | 5 | 5 | 4-9 | 44% | 1-3 | 33% | 3-5 | 60% | 0 | 0 | 1 | 0 | 5 | 3 | N/A | Denver |\n| Nikola Jokic | 19 | 8 | 7 | 6 | 3-4 | 75% | 1-1 | 100% | 1-2 | 50% | 0 | 5 | 3 | 1 | 6 | 6 | C | Denver |\n| Jameer Nelson | 21 | 8 | 1 | 2 | 3-6 | 50% | 1-3 | 33% | 1-2 | 50% | 1 | 1 | 0 | 1 | 0 | 2 | N/A | Denver |\n| Darrell Arthur | 11 | 5 | 1 | 0 | 2-4 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 4 | N/A | Denver |\n| Kenneth Faried | 21 | 4 | 4 | 1 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 0 | 4 | 2 | N/A | Denver |\n| Jamal Murray | 17 | 2 | 1 | 0 | 1-3 | 33% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 2 | N/A | Denver |\n| Juan Hernangomez | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Denver |\n| Jusuf Nurkic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Mike Miller | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Hawks | | | | | | | | | | | | | | | | | | |\n| Dennis Schroder | 36 | 27 | 6 | 5 | 9-19 | 47% | 2-4 | 50% | 7-7 | 100% | 1 | 3 | 0 | 0 | 6 | 2 | G | Atlanta |\n| Paul Millsap | 38 | 20 | 8 | 3 | 5-15 | 33% | 2-5 | 40% | 8-10 | 80% | 1 | 1 | 1 | 1 | 7 | 4 | F | Atlanta |\n| Mike Muscala | 21 | 13 | 3 | 2 | 5-7 | 71% | 1-3 | 33% | 2-3 | 67% | 0 | 0 | 1 | 0 | 3 | 5 | N/A | Atlanta |\n| Thabo Sefolosha | 29 | 12 | 4 | 3 | 4-8 | 50% | 2-3 | 67% | 2-2 | 100% | 4 | 0 | 1 | 2 | 2 | 1 | F | Atlanta |\n| Kris Humphries | 22 | 10 | 8 | 2 | 4-10 | 40% | 0-1 | 0% | 2-2 | 100% | 0 | 1 | 1 | 3 | 5 | 4 | C | Atlanta |\n| DeAndre' Bembry | 19 | 9 | 4 | 1 | 4-6 | 67% | 0-1 | 0% | 1-1 | 100% | 1 | 0 | 0 | 2 | 2 | 2 | N/A | Atlanta |\n| Malcolm Delaney | 30 | 7 | 1 | 3 | 3-8 | 38% | 1-3 | 33% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 3 | N/A | Atlanta |\n| Kent Bazemore | 31 | 5 | 2 | 4 | 2-9 | 22% | 0-2 | 0% | 1-2 | 50% | 2 | 2 | 0 | 0 | 2 | 3 | G | Atlanta |\n| Mike Scott | 12 | 5 | 4 | 3 | 1-4 | 25% | 0-3 | 0% | 3-4 | 75% | 1 | 0 | 0 | 1 | 3 | 1 | N/A | Atlanta |\n| Taurean Prince | 1 | 1 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Atlanta |\n| Kyle Korver | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Ryan Kelly | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |" + } + ] + }, + { + "id": "table_recognition_train_item_31220", + "image": "table_instructV/images/TABMWP_5383.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 12 | 19 |\n| 13 | 9 |\n| 14 | 2 |" + } + ] + }, + { + "id": "table_recognition_train_item_104219", + "image": "table_instructV/images/ToTTo_train_table_17711.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Date | Ship Name | Flag | Tonnage | Fate | Convoy | Position | Deaths |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 26 September 1940 | Ashantian | United Kingdom | 4,917 | Damaged | OB 218 | 55°10′N 11°00′W / 55.167°N 11.000°W | 4 |\n| 26 September 1940 | Manchester Brigade | United Kingdom | 6,042 | Sunk | OB 218 | 54°53′N 10°22′W / 54.883°N 10.367°W | 56 |\n| 26 September 1940 | Stratford | United Kingdom | 4,753 | Sunk | OB 218 | 54°50′N 10°40′W / 54.833°N 10.667°W | 2 |\n| 14 October 1940 | HMS Cheshire* | Royal Navy | 10,552 | Damaged | | 55°13′N 13°02′W / 55.217°N 13.033°W | 0 |\n| 13 November 1940 | Cape St. Andrew | United Kingdom | 5,094 | Sunk | Straggler | 55°14′N 10°29′W / 55.233°N 10.483°W | 15 |\n| 16 November 1940 | Planter | United Kingdom | 5,887 | Sunk | Sailing alone | 55°38′N 08°28′W / 55.633°N 8.467°W | 13 |\n| 17 November 1940 | Saint Germain | United Kingdom | 1,044 | Sunk | HG-46 | 55°40′N 08°40′W / 55.667°N 8.667°W | 0 |\n| 17 November 1940 | Veronica | Sweden | 1,316 | Sunk | HG-46 | 55°20′N 08°45′W / 55.333°N 8.750°W | 17 |" + } + ] + }, + { + "id": "table_recognition_train_item_51292", + "image": "table_instructV/images/TAT-QA_8b92d135-b82c-4ce8-889b-202fcd423d8f.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| December 31, | | |\n| --- | --- | --- |\n| | 2019 | 2018 |\n| Computer hardware and software | $3,427 | $3,353 |\n| Office equipment and office furniture | 8,148 | 7,814 |\n| Capitalized internal-use software and website development | 4,390 | 4,383 |\n| Leasehold improvements | 6,247 | 6,140 |\n| | 22,212 | 21,690 |\n| Less accumulated depreciation and amortization | (19,230) | (17,900) |\n| Total | $2,982 | $3,790 |" + } + ] + }, + { + "id": "table_recognition_train_item_59594", + "image": "table_instructV/images/TabFact_2-14407512-10.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| rank | name | nationality | 1st (m) | 2nd (m) | points | overall fht points | overall wc points (rank) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | janne ahonen | fin | 139.5 | 138.0 | 282.5 | 834.2 (1) | 515 (3) |\n| 2 | thomas morgenstern | aut | 138.0 | 132.5 | 271.4 | 823.3 (2) | 880 (1) |\n| 3 | simon ammann | sui | 126.5 | 139.0 | 259.4 | 776.7 (5) | 307 (7) |\n| 4 | dmitry vassiliev | rus | 133.0 | 131.5 | 257.1 | 745.6 (10) | 132 (16) |\n| 5 | gregor schlierenzauer | aut | 132.5 | 132.0 | 256.6 | 811.7 (3) | 654 (2) |" + } + ] + }, + { + "id": "table_recognition_train_item_105529", + "image": "table_instructV/images/ToTTo_train_table_23195.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Sr. No. | Name of Division | Administration | Districts |\n| --- | --- | --- | --- |\n| 1. | Bhopal Division | HQ=Bhopal Districts=5 | Bhopal district Raisen district Rajgarh district Sehore district Vidisha district |\n| 2. | Chambal Division | HQ=Morena Districts=3 | Morena district Sheopur district Bhind district |\n| 3. | Gwalior Division | HQ=Gwalior Districts=5 | Gwalior district Ashoknagar district Shivpuri district Datia district Guna district |\n| 4. | Indore Division | HQ=Indore Districts=8 | Alirajpur district Barwani district Burhanpur district Indore district Dhar district Jhabua district Khandwa district Khargone district |\n| 5. | Jabalpur Division | HQ=Jabalpur Districts=8 | Balaghat district Chhindwara district Jabalpur district Katni district Mandla district Narsinghpur district Seoni district Dindori district |\n| 6. | Narmadapuram Division | HQ=Betul Districts=3 | Betul district Harda district Hoshangabad district |\n| 7. | Rewa Division | HQ=Rewa Districts=4 | Rewa district Satna district Sidhi district Singrauli district |\n| 8. | Sagar Division | HQ=Sagar Districts=6 | Chhatarpur district Damoh district Panna district Sagar district Tikamgarh district Niwari district |\n| 9. | Shahdol Division | HQ=Shahdol Districts=3 | Anuppur district Shahdol district Umaria district |\n| 10. | Ujjain Division | HQ=Ujjain Districts=7 | Agar Malwa district Dewas district Mandsaur district Neemuch district Ratlam district Shajapur district Ujjain district |\n| | Total Divisions = 10 | | Total Districts = 52 |" + } + ] + }, + { + "id": "table_recognition_train_item_34274", + "image": "table_instructV/images/TABMWP_37779.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | In-line skates | Roller skates |\n| --- | --- | --- |\n| Age 8 | 4 | 3 |\n| Age 10 | 3 | 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_118047", + "image": "table_instructV/images/Rotowire_train_table_3366.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 76ers | Philadelphia | 94 | 24 | 25 | 19 | 26 | 25 | 42 | 15 | 43 | 61 | 41 | 16 | 52 | | | | |\n| Pistons | Detroit | 83 | 21 | 18 | 26 | 18 | 18 | 51 | 18 | 33 | 90 | 31 | 24 | 44 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Ish Smith | 26 | 15 | 1 | 8 | 6-12 | 50% | 0-1 | 0% | 3-4 | 75% | 3 | 3 | 1 | 0 | 1 | 2 | G | Philadelphia |\n| Jason Richardson | 25 | 14 | 5 | 2 | 4-7 | 57% | 3-5 | 60% | 3-4 | 75% | 1 | 1 | 0 | 1 | 4 | 2 | G | Philadelphia |\n| Thomas Robinson | 16 | 12 | 6 | 0 | 6-9 | 67% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 3 | 2 | 4 | 2 | N/A | Philadelphia |\n| Nerlens Noel | 22 | 11 | 4 | 0 | 5-10 | 50% | 0-0 | 0% | 1-2 | 50% | 1 | 1 | 3 | 3 | 1 | 0 | C | Philadelphia |\n| Jerami Grant | 25 | 10 | 4 | 2 | 4-7 | 57% | 2-3 | 67% | 0-2 | 0% | 0 | 2 | 0 | 1 | 3 | 2 | N/A | Philadelphia |\n| Isaiah Canaan | 22 | 9 | 3 | 4 | 2-10 | 20% | 2-6 | 33% | 3-4 | 75% | 1 | 3 | 0 | 0 | 3 | 3 | N/A | Philadelphia |\n| Hollis Thompson | 24 | 8 | 1 | 1 | 3-5 | 60% | 2-3 | 67% | 0-0 | 0% | 2 | 1 | 2 | 0 | 1 | 0 | N/A | Philadelphia |\n| JaKarr Sampson | 22 | 6 | 6 | 0 | 3-8 | 38% | 0-2 | 0% | 0-0 | 0% | 2 | 3 | 0 | 1 | 5 | 3 | F | Philadelphia |\n| Luc Mbah a Moute | 26 | 4 | 6 | 5 | 1-8 | 13% | 1-2 | 50% | 1-2 | 50% | 0 | 0 | 0 | 2 | 4 | 3 | F | Philadelphia |\n| Robert Covington | 22 | 3 | 2 | 3 | 1-6 | 17% | 1-5 | 20% | 0-0 | 0% | 1 | 0 | 0 | 0 | 2 | 2 | N/A | Philadelphia |\n| Furkan Aldemir | 9 | 2 | 4 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 2 | 2 | 2 | N/A | Philadelphia |\n| Glenn Robinson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Henry Sims | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Pistons | | | | | | | | | | | | | | | | | | |\n| Kentavious Caldwell-Pope | 36 | 20 | 8 | 2 | 7-16 | 44% | 1-4 | 25% | 5-6 | 83% | 1 | 3 | 0 | 1 | 7 | 3 | G | Detroit |\n| Reggie Jackson | 32 | 11 | 11 | 10 | 4-17 | 24% | 1-3 | 33% | 2-2 | 100% | 0 | 5 | 0 | 3 | 8 | 3 | G | Detroit |\n| Anthony Tolliver | 34 | 9 | 5 | 0 | 3-5 | 60% | 2-4 | 50% | 1-2 | 50% | 0 | 2 | 1 | 3 | 2 | 2 | F | Detroit |\n| Andre Drummond | 32 | 9 | 14 | 0 | 3-8 | 38% | 0-0 | 0% | 3-3 | 100% | 1 | 1 | 2 | 7 | 7 | 4 | C | Detroit |\n| Jodie Meeks | 24 | 8 | 2 | 0 | 2-12 | 17% | 2-5 | 40% | 2-2 | 100% | 4 | 2 | 0 | 0 | 2 | 0 | N/A | Detroit |\n| Caron Butler | 18 | 7 | 0 | 0 | 3-8 | 38% | 1-6 | 17% | 0-0 | 0% | 2 | 0 | 0 | 0 | 0 | 1 | F | Detroit |\n| Spencer Dinwiddie | 19 | 7 | 3 | 3 | 2-11 | 18% | 1-3 | 33% | 2-2 | 100% | 0 | 0 | 0 | 1 | 2 | 2 | N/A | Detroit |\n| Joel Anthony | 16 | 6 | 4 | 1 | 2-4 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 4 | 3 | 1 | 1 | N/A | Detroit |\n| Tayshaun Prince | 22 | 6 | 2 | 2 | 3-7 | 43% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 1 | N/A | Detroit |\n| Shawne Williams | 8 | 0 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 1 | N/A | Detroit |\n| Cartier Martin | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| John Lucas III | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Quincy Miller | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |" + } + ] + }, + { + "id": "table_recognition_train_item_57746", + "image": "table_instructV/images/TabFact_2-12839896-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| call sign | frequency mhz | city of license | erp w | class | fcc info |\n| --- | --- | --- | --- | --- | --- |\n| w284bc | 104.7 | waldorf , maryland | 10 | d | fcc |\n| w253az | 98.5 | creedmoor , north carolina | 40 | d | fcc |\n| w279bw | 103.7 | roxboro , north carolina | 10 | d | fcc |\n| w273bd | 102.5 | winston - salem , north carolina | 4 | d | fcc |\n| w210by | 89.9 | aquia harbour , virginia | 5 | d | fcc |\n| w274av | 102.7 | ashland , virginia | 14 | d | fcc |\n| w211cb | 90.1 | berryville , virginia | 3 | d | fcc |\n| w245bg | 96.9 | cave spring , virginia | 10 | d | fcc |\n| w217br | 91.3 | chantilly , virginia | 10 | d | fcc |\n| w244bp | 96.7 | charlottesville , virginia | 10 | d | fcc |\n| w278bf | 103.5 | covington , virginia | 10 | d | fcc |\n| w237ca | 95.3 | culpeper , virginia | 19 | d | fcc |\n| w282bh | 104.3 | danville , virginia | 155 | d | fcc |\n| w267ba | 101.3 | harrisonburg , virginia | 10 | d | fcc |\n| w286bn | 105.1 | marion , virginia | 10 | d | fcc |\n| w295bf | 106.9 | midlothian , virginia | 10 | d | fcc |\n| w293as | 106.5 | pulaski , virginia | 10 | d | fcc |\n| w235ai | 94.9 | richmond , virginia | 16 | d | fcc |\n| w293ax | 106.5 | roanoke , virginia | 10 | d | fcc |\n| w279an | 103.7 | south boston , virginia | 10 | d | fcc |\n| w298az | 107.5 | south hill , virginia | 19 | d | fcc |\n| w218ck | 91.5 | warrenton , virginia | 10 | d | fcc |\n| w262bk | 100.3 | waynesboro , virginia | 7 | d | fcc |\n| w270bo | 101.9 | wytheville , virginia | 10 | d | fcc |" + } + ] + }, + { + "id": "table_recognition_train_item_33433", + "image": "table_instructV/images/TABMWP_29293.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Month | Change in water level (in.) |\n| --- | --- |\n| April | -6 |\n| May | 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_116281", + "image": "table_instructV/images/Rotowire_train_table_2483.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Thunder | Oklahoma City | 118 | 32 | 27 | 28 | 31 | 17 | 53 | 13 | 48 | 76 | 29 | 34 | 25 | | | | |\n| Pelicans | New Orleans | 110 | 35 | 24 | 25 | 26 | 17 | 35 | 10 | 45 | 81 | 38 | 23 | 37 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Russell Westbrook | 37 | 41 | 11 | 11 | 14-29 | 48% | 2-8 | 25% | 11-12 | 92% | 1 | 9 | 0 | 2 | 9 | 2 | G | Oklahoma City |\n| Enes Kanter | 24 | 20 | 9 | 3 | 6-9 | 67% | 0-0 | 0% | 8-10 | 80% | 1 | 2 | 0 | 3 | 6 | 4 | N/A | Oklahoma City |\n| Steven Adams | 29 | 13 | 10 | 0 | 6-10 | 60% | 0-0 | 0% | 1-5 | 20% | 0 | 0 | 0 | 9 | 1 | 3 | C | Oklahoma City |\n| Alex Abrines | 35 | 13 | 3 | 1 | 4-12 | 33% | 3-7 | 43% | 2-2 | 100% | 0 | 0 | 0 | 1 | 2 | 4 | G | Oklahoma City |\n| Andre Roberson | 30 | 9 | 6 | 0 | 4-4 | 100% | 1-1 | 100% | 0-0 | 0% | 1 | 0 | 0 | 0 | 6 | 6 | F | Oklahoma City |\n| Jerami Grant | 21 | 7 | 3 | 1 | 2-3 | 67% | 0-1 | 0% | 3-3 | 100% | 1 | 1 | 0 | 0 | 3 | 3 | N/A | Oklahoma City |\n| Taj Gibson | 21 | 6 | 5 | 0 | 2-9 | 22% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 1 | 4 | 2 | N/A | Oklahoma City |\n| Domantas Sabonis | 8 | 4 | 1 | 0 | 2-3 | 67% | 0-1 | 0% | 0-1 | 0% | 0 | 0 | 0 | 0 | 1 | 3 | F | Oklahoma City |\n| Semaj Christon | 11 | 3 | 0 | 0 | 1-5 | 20% | 0-2 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Oklahoma City |\n| Doug McDermott | 23 | 2 | 5 | 1 | 1-4 | 25% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 5 | 2 | N/A | Oklahoma City |\n| Josh Huestis | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Kyle Singler | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Nick Collison | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Pelicans | | | | | | | | | | | | | | | | | | |\n| Anthony Davis | 32 | 38 | 7 | 4 | 15-28 | 54% | 2-3 | 67% | 6-6 | 100% | 1 | 1 | 0 | 3 | 4 | 4 | F | New Orleans |\n| DeMarcus Cousins | 21 | 31 | 10 | 3 | 8-15 | 53% | 0-3 | 0% | 15-15 | 100% | 0 | 1 | 0 | 2 | 8 | 6 | C | New Orleans |\n| E'Twaun Moore | 27 | 10 | 1 | 0 | 3-8 | 38% | 2-2 | 100% | 2-2 | 100% | 4 | 1 | 0 | 0 | 1 | 1 | N/A | New Orleans |\n| Solomon Hill | 31 | 7 | 4 | 0 | 1-3 | 33% | 1-3 | 33% | 4-4 | 100% | 2 | 0 | 0 | 1 | 3 | 3 | F | New Orleans |\n| Hollis Thompson | 31 | 7 | 3 | 0 | 2-4 | 50% | 2-3 | 67% | 1-2 | 50% | 0 | 1 | 0 | 0 | 3 | 2 | G | New Orleans |\n| Donatas Motiejunas | 23 | 6 | 4 | 0 | 2-6 | 33% | 0-2 | 0% | 2-6 | 33% | 1 | 0 | 0 | 1 | 3 | 2 | N/A | New Orleans |\n| Jrue Holiday | 33 | 6 | 3 | 8 | 3-9 | 33% | 0-2 | 0% | 0-0 | 0% | 2 | 5 | 1 | 0 | 3 | 2 | G | New Orleans |\n| Dante Cunningham | 21 | 3 | 1 | 0 | 1-2 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 2 | N/A | New Orleans |\n| Tim Frazier | 15 | 2 | 1 | 1 | 1-4 | 25% | 0-1 | 0% | 0-2 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | New Orleans |\n| Alexis Ajinca | 5 | 0 | 1 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | New Orleans |\n| Jarrett Jack | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| Cheick Diallo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| Reggie Williams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |" + } + ] + }, + { + "id": "table_recognition_train_item_61162", + "image": "table_instructV/images/TabFact_1-17384764-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| sno | college code | faculty name | designation | qualification | department | experience |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | mq | dr n seshaiah | principal & professor | phd (mech) | s&h | 20 years |\n| 2 | mq | sri t saikumar | assoc prof | mphil (maths) | s&h | 7 years |\n| 3 | mq | sri d baba | asst prof | mphil (physics) | s&h | 2 years |\n| 4 | mq | sri a v raghu ram | asst prof | ma (english) , pgdte | s&h | 4 years |\n| 5 | mq | n syam prasad | asst prof | msc (maths) | s&h | 5 years |\n| 6 | mq | smt ch l poornima | asst prof | btech (mech) | s&h | 4 years |\n| 7 | mq | sri k naga koteswara rao | asst prof | btech (mech) | s&h | 1 year |\n| 8 | mq | sri ch sreenivasa rao | asstprof | ma (english) | s&h | 6 years |\n| 9 | mq | smt d supriya | asstprof | mphil (maths) | s&h | 4 years |\n| 10 | mq | sri p rammohan | assocprof | mtech (power electronics) | eee | 7 years |\n| 11 | mq | ms v gopilatha | asstprof | btech (electrical) | eee | 3 years |\n| 12 | mq | sri gsvnv babu | assocprof | mtech (ece) | ece | 17 years |\n| 13 | mq | sri k krishna mohan | assocprof | mtech (ece) | ece | 7 years |\n| 14 | mq | ms b mamata | asstprof | btech (ece) | ece | 2 years |\n| 15 | mq | sri svc gupta | assocprof | mtech (compsci& tech) | cse & it | 9 years |\n| 16 | mq | sri g sudheer kumar | asstprof | btech (cse) | cse & it | 1 year |" + } + ] + }, + { + "id": "table_recognition_train_item_52374", + "image": "table_instructV/images/TabFact_2-1841727-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| year | entrant | chassis | engine | points |\n| --- | --- | --- | --- | --- |\n| 2006 | bmw sauber f1 team | bmw sauber f1.06 | bmw p86 2.4 v8 | 6 |\n| 2007 | bmw sauber f1 team | bmw sauber f1.07 | bmw p86 / 7 2.4 v8 | 39 |\n| 2008 | bmw sauber f1 team | bmw sauber f1.08 | bmw p86 / 8 2.4 v8 | 75 |\n| 2009 | bmw sauber f1 team | bmw sauber f1.09 | bmw p86 / 9 2.4 v8 | 17 |\n| 2010 | renault f1 team | renault r30 | renault rs27 - 2010 2.4 v8 | 136 |" + } + ] + }, + { + "id": "table_recognition_train_item_54200", + "image": "table_instructV/images/TabFact_2-1552908-11.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| ballarat fl | wins | byes | losses | draws | against |\n| --- | --- | --- | --- | --- | --- |\n| sunbury | 15 | 2 | 0 | 1 | 1146 |\n| redan | 11 | 2 | 5 | 0 | 1101 |\n| melton south | 11 | 2 | 5 | 0 | 1353 |\n| melton | 10 | 2 | 6 | 0 | 1284 |\n| lake wendouree | 10 | 2 | 6 | 0 | 1338 |\n| darley | 10 | 2 | 6 | 0 | 1459 |\n| east point | 10 | 2 | 6 | 0 | 1502 |\n| daylsford | 5 | 2 | 10 | 1 | 1339 |\n| ballarat | 2 | 2 | 14 | 0 | 1728 |\n| sebastapol | 2 | 2 | 14 | 0 | 2194 |\n| bacchus marsh | 1 | 2 | 15 | 0 | 2263 |" + } + ] + }, + { + "id": "table_recognition_train_item_53530", + "image": "table_instructV/images/TabFact_2-18526406-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| rank | nation | gold | silver | bronze | total |\n| --- | --- | --- | --- | --- | --- |\n| 1 | sweden | 7 | 5 | 6 | 18 |\n| 2 | czechoslovakia | 3 | 1 | 2 | 6 |\n| 3 | austria | 0 | 1 | 5 | 6 |\n| 4 | denmark | 1 | 3 | 1 | 5 |\n| 5 | finland | 3 | 1 | 0 | 4 |\n| 6 | france | 1 | 3 | 0 | 4 |\n| 7 | norway | 0 | 1 | 0 | 1 |\n| 8 | netherlands | 0 | 0 | 1 | 1 |\n| total | total | 15 | 15 | 15 | 45 |" + } + ] + }, + { + "id": "table_recognition_train_item_114265", + "image": "table_instructV/images/Rotowire_train_table_1475.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pistons | Detroit | 98 | 23 | 27 | 24 | 24 | 22 | 45 | 17 | 43 | 46 | 36 | 28 | 31 | | | | |\n| Celtics | Boston | 104 | 27 | 27 | 25 | 25 | 22 | 52 | 14 | 40 | 80 | 34 | 38 | 21 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pistons | | | | | | | | | | | | | | | | | | |\n| Kentavious Caldwell-Pope | 36 | 18 | 3 | 3 | 6-14 | 43% | 3-8 | 38% | 3-5 | 60% | 1 | 1 | 2 | 0 | 3 | 3 | G | Detroit |\n| Andre Drummond | 36 | 17 | 15 | 0 | 8-13 | 62% | 0-0 | 0% | 1-11 | 9% | 2 | 3 | 0 | 2 | 13 | 2 | C | Detroit |\n| Reggie Jackson | 34 | 17 | 4 | 6 | 6-12 | 50% | 3-5 | 60% | 2-2 | 100% | 1 | 3 | 0 | 1 | 3 | 2 | G | Detroit |\n| Marcus Morris | 38 | 16 | 10 | 4 | 5-15 | 33% | 2-7 | 29% | 4-5 | 80% | 1 | 5 | 0 | 5 | 5 | 3 | F | Detroit |\n| Jon Leuer | 25 | 10 | 4 | 1 | 4-11 | 36% | 2-7 | 29% | 0-2 | 0% | 0 | 3 | 0 | 1 | 3 | 2 | F | Detroit |\n| Tobias Harris | 33 | 8 | 2 | 2 | 2-8 | 25% | 1-5 | 20% | 3-6 | 50% | 1 | 2 | 1 | 1 | 1 | 5 | N/A | Detroit |\n| Stanley Johnson | 12 | 7 | 2 | 1 | 2-2 | 100% | 1-1 | 100% | 2-2 | 100% | 2 | 0 | 0 | 0 | 2 | 1 | N/A | Detroit |\n| Aron Baynes | 12 | 3 | 1 | 2 | 1-1 | 100% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 1 | 0 | 1 | N/A | Detroit |\n| Ish Smith | 14 | 2 | 4 | 3 | 1-5 | 20% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 4 | 5 | N/A | Detroit |\n| Boban Marjanovic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Beno Udrih | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Reggie Bullock | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Darrun Hilliard | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Isaiah Thomas | 35 | 33 | 2 | 3 | 10-23 | 44% | 5-12 | 42% | 8-9 | 89% | 3 | 2 | 0 | 0 | 2 | 3 | G | Boston |\n| Jae Crowder | 33 | 14 | 11 | 5 | 3-8 | 38% | 1-4 | 25% | 7-9 | 78% | 1 | 0 | 0 | 0 | 11 | 3 | F | Boston |\n| Marcus Smart | 31 | 14 | 5 | 2 | 5-10 | 50% | 0-3 | 0% | 4-5 | 80% | 1 | 2 | 0 | 4 | 1 | 3 | N/A | Boston |\n| Jaylen Brown | 26 | 13 | 5 | 1 | 5-9 | 56% | 2-2 | 100% | 1-3 | 33% | 2 | 4 | 0 | 2 | 3 | 2 | G | Boston |\n| Terry Rozier | 18 | 13 | 3 | 2 | 4-5 | 80% | 3-4 | 75% | 2-2 | 100% | 0 | 1 | 0 | 1 | 2 | 3 | N/A | Boston |\n| Kelly Olynyk | 19 | 5 | 6 | 1 | 2-8 | 25% | 1-3 | 33% | 0-0 | 0% | 1 | 3 | 0 | 0 | 6 | 3 | N/A | Boston |\n| Amir Johnson | 19 | 4 | 9 | 3 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 8 | 5 | F | Boston |\n| Al Horford | 36 | 4 | 9 | 5 | 2-11 | 18% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 9 | 3 | C | Boston |\n| Jonas Jerebko | 13 | 4 | 2 | 0 | 1-6 | 17% | 0-2 | 0% | 2-2 | 100% | 1 | 0 | 0 | 1 | 1 | 0 | N/A | Boston |\n| James Young | 6 | 0 | 0 | 0 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Boston |\n| Tyler Zeller | 4 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Boston |\n| Demetrius Jackson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Jordan Mickey | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |" + } + ] + }, + { + "id": "table_recognition_train_item_60808", + "image": "table_instructV/images/TabFact_2-18681061-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | september 12 , 1982 | los angeles raiders | l 23 - 17 | 59748 |\n| 2 | september 19 , 1982 | denver broncos | l 24 - 21 | 73899 |\n| 3 | november 21 , 1982 | st louis cardinals | w 31 - 20 | 38064 |\n| 4 | november 28 , 1982 | new orleans saints | l 23 - 20 | 51611 |\n| 5 | december 2 , 1982 | los angeles rams | w 30 - 24 | 58574 |\n| 6 | december 11 , 1982 | san diego chargers | l 41 - 37 | 55988 |\n| 7 | december 19 , 1982 | atlanta falcons | l 17 - 7 | 53234 |\n| 8 | december 26 , 1982 | kansas city chiefs | w 26 - 13 | 24319 |\n| 9 | january 2 , 1983 | los angeles rams | l 21 - 20 | 54256 |" + } + ] + }, + { + "id": "table_recognition_train_item_33641", + "image": "table_instructV/images/TABMWP_31187.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 15 | 19 |\n| 16 | 14 |\n| 17 | 9 |" + } + ] + }, + { + "id": "table_recognition_train_item_105687", + "image": "table_instructV/images/ToTTo_train_table_23859.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Artist/Celebrity | Video Game | Band or Profession | Year | Portrayed by themselves | Playable characters | Ref. |\n| --- | --- | --- | --- | --- | --- | --- |\n| 50 Cent | 50 Cent: Bulletproof 50 Cent: Blood on the Sand | Rapper, actor | 2005 2008 | | | |\n| Bruce Lee | Bruce Lee Bruce Lee Lives Dragon: The Bruce Lee Story Bruce Lee: Quest of the Dragon Bruce Lee: Return of the Legend Bruce Lee: Iron Fist 3D | Martial artist, actor | 1984 1989 1993 2002 2003 2008 | | | |\n| Burt Reynolds | Saints Row: The Third | Actor | | | | |\n| Carmen Electra | Playboy: The Mansion | Model, actress | 2005 | | | |\n| Drew Carey | The Sims: House Party (cameo) | Actor, comedian | 2001 | | | |\n| Gary Coleman | Postal² | Actor | 2003 | | | |\n| Hugh Hefner | Playboy: The Mansion | Businessman, TV celebrity | 2005 | | | |\n| Jesse James | Tony Hawk's Underground 2 | Television celebrity | | | | |\n| Katt Williams | Grand Theft Auto IV | Comedian, actor | 2008 | | | |\n| Keith David | Saints Row IV | Actor | | | | |\n| Michael Jackson | Michael Jackson's Moonwalker | Singer/Songwriter | | | | |\n| Michael Jordan | Michael Jordan: Chaos in the Windy City | Basketball player | | | | |\n| Mike Tyson | Mike Tyson's Punch-Out!! Mike Tyson: Main Event (iphone, created by RockLive) | Boxer | 1987 | | | |\n| Phil Collins | Grand Theft Auto: Vice City Stories | Singer/Songwriter | | | | |\n| Redman | True Crime: New York City | Rapper, actor | 2005 | | | |\n| Ricky Gervais | Grand Theft Auto IV | Comedian, actor | 2008 | | | |\n| Shaquille O'Neal | Shaq-Fu | Basketball player | | | | |\n| Slash | Guitar Hero III: Legends of Rock | Guns N' Roses, Velvet Revolver | 2007 | | | |\n| Snoop Dogg | True Crime: Streets of LA | Rapper, actor | 2003 | | | |\n| Tom Arnold | Playboy: The Mansion | Actor, comedian | 2005 | | | |\n| Tom Morello | Guitar Hero III: Legends of Rock | Rage Against the Machine, Audioslave | 2007 | | | |\n| Bret Michaels | Guitar Hero III: Legends of Rock | Poison, Bret Michaels Band | 2007 | | | |\n| Steven Tyler | Guitar Hero: Aerosmith | Aerosmith | 2008 | | | |\n| Joe Perry | Guitar Hero: Aerosmith | Aerosmith | 2008 | | | |\n| Joey Kramer | Guitar Hero: Aerosmith | Aerosmith | 2008 | | | |\n| Brad Whitford | Guitar Hero: Aerosmith | Aerosmith | 2008 | | | |\n| Tom Hamilton | Guitar Hero: Aerosmith | Aerosmith | 2008 | | | |\n| D.M.C. | Guitar Hero: Aerosmith | Run–D.M.C. | 2008 | | | |\n| Jimi Hendrix | Guitar Hero World Tour | The Jimi Hendrix Experience, Jimi Hendrix | 2008 | | | |\n| Ozzy Osbourne | Guitar Hero World Tour | Black Sabbath, Ozzy Osbourne | 2008 | | | |\n| Billy Corgan | Guitar Hero World Tour | The Smashing Pumpkins | 2008 | | | |\n| Ted Nugent | Guitar Hero World Tour | Ted Nugent | 2008 | | | |\n| Travis Barker | Guitar Hero World Tour | Blink-182 | 2008 | | | |\n| Hayley Williams | Guitar Hero World Tour | Paramore | 2008 | | | |\n| Zakk Wylde | Guitar Hero World Tour | Ozzy Osbourne, Black Label Society | 2008 | | | |\n| Sting | Guitar Hero World Tour | The Police, Sting | 2008 | | | |\n| James Hetfield | Guitar Hero: Metallica | Metallica | 2009 | | | |\n| Lars Ulrich | Guitar Hero: Metallica | Metallica | 2009 | | | |\n| Kirk Hammett | Guitar Hero: Metallica | Metallica | 2009 | | | |\n| Robert Trujillo | Guitar Hero: Metallica | Metallica | 2009 | | | |\n| Lemmy | Guitar Hero: Metallica | Motörhead | 2009 | | | |\n| King Diamond | Guitar Hero: Metallica | Mercyful Fate | 2009 | | | |\n| John Lennon | The Beatles: Rock Band | The Beatles | 2009 | | | |\n| Paul McCartney | The Beatles: Rock Band | The Beatles | 2009 | | | |\n| George Harrison | The Beatles: Rock Band | The Beatles | 2009 | | | |\n| Ringo Starr | The Beatles: Rock Band | The Beatles | 2009 | | | |\n| Johnny Cash | Guitar Hero 5 | Johnny Cash | 2009 | | | |\n| Shirley Manson | Guitar Hero 5 | Garbage | 2009 | | | |\n| Kurt Cobain | Guitar Hero 5 | Nirvana | 2009 | | | |\n| Carlos Santana | Guitar Hero 5 | Santana | 2009 | | | |\n| Matthew Bellamy | Guitar Hero 5 | Muse | 2009 | | | |\n| David Bowie | Lego Rock Band | David Bowie | 2009 | | | |\n| Iggy Pop | Lego Rock Band | The Stooges | 2009 | | | |\n| Freddie Mercury | Lego Rock Band | Queen | 2009 | | | |\n| Brian May | Lego Rock Band | Queen | 2009 | | | |\n| Roger Taylor | Lego Rock Band | Queen | 2009 | | | |\n| John Deacon | Lego Rock Band | Queen | 2009 | | | |\n| Damon Albarn | Lego Rock Band | Blur | 2009 | | | |\n| Graham Coxon | Lego Rock Band | Blur | 2009 | | | |\n| Alex James | Lego Rock Band | Blur | 2009 | | | |\n| Dave Rowntree | Lego Rock Band | Blur | 2009 | | | |\n| David St. Hubbins | Lego Rock Band | Spinal Tap | 2009 | | | |\n| Nigel Tufnel | Lego Rock Band | Spinal Tap | 2009 | | | |\n| Derek Smalls | Lego Rock Band | Spinal Tap | 2009 | | | |\n| Taylor Swift | Band Hero | Taylor Swift | 2009 | | | |\n| Adam Levine | Band Hero | Maroon 5 | 2009 | | | |\n| Gwen Stefani | Band Hero | No Doubt | 2009 | | | |\n| Tom Dumont | Band Hero | No Doubt | 2009 | | | |\n| Tony Kanal | Band Hero | No Doubt | 2009 | | | |\n| Adrian Young | Band Hero | No Doubt | 2009 | | | |\n| David Lee Roth | Guitar Hero: Van Halen | Van Halen | 2009 | | | |\n| Eddie Van Halen | Guitar Hero: Van Halen | Van Halen | 2009 | | | |\n| Alex Van Halen | Guitar Hero: Van Halen | Van Halen | 2009 | | | |\n| Wolfgang Van Halen | Guitar Hero: Van Halen | Van Halen | 2009 | | | |\n| Billie Joe Armstrong | Green Day: Rock Band | Green Day | 2010 | | | |\n| Mike Dirnt | Green Day: Rock Band | Green Day | 2010 | | | |\n| Tré Cool | Green Day: Rock Band | Green Day | 2010 | | | |\n| Marshmello | Fortnite Battle Royale | EDM, DJ | 2019 | | | |" + } + ] + }, + { + "id": "table_recognition_train_item_112385", + "image": "table_instructV/images/Rotowire_train_table_535.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kings | Sacramento | 108 | 28 | 24 | 26 | 30 | 18 | 54 | 17 | 46 | 81 | 28 | 16 | 24 | | | | |\n| Clippers | Los Angeles | 117 | 28 | 24 | 31 | 34 | 24 | 34 | 5 | 48 | 65 | 32 | 27 | 14 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Kings | | | | | | | | | | | | | | | | | | |\n| Jason Thompson | 36 | 23 | 22 | 2 | 9-15 | 60% | 0-0 | 0% | 5-6 | 83% | 0 | 1 | 1 | 7 | 15 | 5 | F | Sacramento |\n| Rudy Gay | 34 | 22 | 5 | 3 | 6-16 | 38% | 2-3 | 67% | 8-8 | 100% | 0 | 4 | 0 | 2 | 3 | 2 | N/A | Sacramento |\n| Darren Collison | 39 | 17 | 3 | 4 | 7-15 | 47% | 3-6 | 50% | 0-0 | 0% | 0 | 5 | 1 | 2 | 1 | 3 | G | Sacramento |\n| Ben McLemore | 33 | 14 | 1 | 2 | 6-12 | 50% | 0-4 | 0% | 2-2 | 100% | 2 | 2 | 0 | 1 | 0 | 3 | G | Sacramento |\n| Derrick Williams | 28 | 13 | 5 | 2 | 5-10 | 50% | 0-3 | 0% | 3-4 | 75% | 0 | 1 | 0 | 2 | 3 | 3 | F | Sacramento |\n| Ray McCallum | 21 | 8 | 3 | 3 | 4-7 | 57% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 2 | 1 | 1 | N/A | Sacramento |\n| Reggie Evans | 19 | 8 | 8 | 0 | 3-5 | 60% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 2 | 6 | 4 | N/A | Sacramento |\n| Ryan Hollins | 23 | 2 | 5 | 0 | 1-5 | 20% | 0-0 | 0% | 0-2 | 0% | 0 | 2 | 0 | 3 | 2 | 4 | C | Sacramento |\n| Quincy Miller | 6 | 1 | 2 | 2 | 0-3 | 0% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | Sacramento |\n| Omri Casspi | 1 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Sacramento |\n| DeMarcus Cousins | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Nik Stauskas | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Clippers | | | | | | | | | | | | | | | | | | |\n| Blake Griffin | 37 | 30 | 5 | 5 | 11-16 | 69% | 0-0 | 0% | 8-11 | 73% | 1 | 1 | 0 | 1 | 4 | 2 | F | Los Angeles |\n| Matt Barnes | 40 | 26 | 10 | 1 | 10-15 | 67% | 4-9 | 44% | 2-2 | 100% | 3 | 1 | 1 | 2 | 8 | 6 | F | Los Angeles |\n| JJ Redick | 26 | 18 | 0 | 1 | 7-14 | 50% | 4-9 | 44% | 0-0 | 0% | 1 | 1 | 0 | 0 | 0 | 2 | G | Los Angeles |\n| Jamal Crawford | 29 | 13 | 3 | 5 | 5-15 | 33% | 1-7 | 14% | 2-2 | 100% | 0 | 1 | 0 | 0 | 3 | 1 | N/A | Los Angeles |\n| Chris Paul | 33 | 12 | 4 | 9 | 4-13 | 31% | 0-2 | 0% | 4-4 | 100% | 1 | 1 | 0 | 2 | 2 | 1 | G | Los Angeles |\n| DeAndre Jordan | 28 | 8 | 9 | 1 | 3-6 | 50% | 0-0 | 0% | 2-8 | 25% | 1 | 0 | 3 | 5 | 4 | 4 | C | Los Angeles |\n| Glen Davis | 11 | 5 | 0 | 0 | 2-3 | 67% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Los Angeles |\n| Spencer Hawes | 17 | 4 | 3 | 1 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 2 | 2 | N/A | Los Angeles |\n| Austin Rivers | 15 | 1 | 0 | 1 | 0-3 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 1 | 0 | 0 | 0 | N/A | Los Angeles |\n| Dahntay Jones | 5 | 0 | 0 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Los Angeles |\n| Ekpe Udoh | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Hedo Turkoglu | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |" + } + ] + }, + { + "id": "table_recognition_train_item_68462", + "image": "table_instructV/images/TabFact_2-15211906-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| round | date | opponent | venue | result | attendance |\n| --- | --- | --- | --- | --- | --- |\n| 4 th | 22 december 2007 | oxford united | home | won 1 - 0 | 1573 |\n| 5 th | 5 february 2008 | st albans city | away | won 4 - 0 | 375 |\n| qf | 26 february 2008 | crawley town | away | won 6 - 2 (aet) | 827 |\n| sf | 18 march 2008 | woking | home | drew 2 - 2 (aldershot town win 4 - 3 on penalties) | 1629 |\n| final | 3 april 2008 | rushden & diamonds | the recreation ground , aldershot | drew 3 - 3 (aldershot town win 4 - 3 on penalties) | 3714 |" + } + ] + }, + { + "id": "table_recognition_train_item_51018", + "image": "table_instructV/images/TAT-QA_67c8f293-ec58-4b02-a0bc-d1abadcbbede.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| | Fiscal Year 2019 | | | |\n| --- | --- | --- | --- | --- |\n| | First Quarter | Second Quarter | Third Quarter | Fourth Quarter |\n| Net sales | $340,583 | $356,040 | $383,993 | $280,572 |\n| Gross profit | 57,128 | 70,535 | 82,441 | 12,755 |\n| Net income (loss) attributable to Cal-Maine Foods, Inc. | 12,406 | 21,807 | 39,777 | (19,761) |\n| Net income (loss) per share: | | | | |\n| Basic | $0.26 | $0.45 | $0.82 | $(0.41) |\n| Diluted | $0.26 | $0.45 | $0.82 | $(0.41) |\n| | Fiscal Year 2018 | | | |\n| | First Quarter | Second Quarter | Third Quarter | Fourth Quarter |\n| Net sales | $262,845 | $361,172 | $435,820 | $443,095 |\n| Gross profit | 17,336 | 82,396 | 120,098 | 141,216 |\n| Net income (loss) attributable to Cal-Maine Foods, Inc. | (15,993) | (26,136) | 96,294 | 71,767 |\n| Net income (loss) per share: | | | | |\n| Basic | $(0.33) | $(0.54) | $1.99 | $1.48 |\n| Diluted | $(0.33) | $(0.54) | $1.99 | $1.48 |" + } + ] + }, + { + "id": "table_recognition_train_item_101029", + "image": "table_instructV/images/ToTTo_train_table_4354.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Event | Record | Athlete | Nationality | Date | Meet | Place | Ref |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Flying 200m time trial (progression) | 10.384 | Kristina Vogel | Germany | 7 December 2013 | World Cup | Mexico Aguascalientes, Mexico | |\n| Flying 500m time trial (progression) | 28.970 | Kristina Vogel | Germany | 17 December 2016 | Frankfurter Kreisel | Germany Frankfurt (Oder), Germany | |\n| 500 m time trial (progression) | 32.268 | Jessica Salazar | Mexico | 7 October 2016 | Pan American Championships | Mexico Aguascalientes, Mexico | |\n| Team sprint (progression) | 31.928 | Gong Jinjie Zhong Tianshi | China | 12 August 2016 | Olympic Games | Brazil Rio de Janeiro, Brazil | |\n| 3000m individual pursuit (progression) | 3:20.060 | Chloe Dygert | United States | 3 March 2018 | World Championships | Netherlands Apeldoorn, Netherlands | |\n| 3000m team pursuit (progression) | 3:14.051 | Dani King Laura Trott Joanna Rowsell | Great Britain | 4 August 2012 | Olympic Games | United Kingdom London, United Kingdom | |\n| 4000m team pursuit (progression) | 4:10.236 | Katie Archibald Laura Trott Elinor Barker Joanna Rowsell Shand | Great Britain | 13 August 2016 | Olympic Games | Brazil Rio de Janeiro, Brazil | |\n| Hour record (progression) | 48.007 km | Vittoria Bussi | Italy | 13 September 2018 | | Mexico Aguascalientes, Mexico | |\n| Hour record (UCI best human effort) (progression) | 48.159 km | Jeannie Longo-Ciprelli | France | 26 October 1996 | | Mexico Mexico City, Mexico | |" + } + ] + }, + { + "id": "table_recognition_train_item_33721", + "image": "table_instructV/images/TABMWP_32013.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $665 | 15,500 | 16,200 |\n| $855 | 13,700 | 17,300 |\n| $1,045 | 11,900 | 18,400 |\n| $1,235 | 10,100 | 19,500 |\n| $1,425 | 8,300 | 20,600 |" + } + ] + }, + { + "id": "table_recognition_train_item_65340", + "image": "table_instructV/images/TabFact_2-10747104-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| province | inhabitants | president | party | election |\n| --- | --- | --- | --- | --- |\n| padua | 934216 | barbara degani | the people of freedom | 2009 |\n| verona | 920158 | giovanni miozzi | the people of freedom | 2009 |\n| treviso | 888249 | leonardo muraro | liga veneta | 2011 |\n| vicenza | 870740 | attilio schneck | liga veneta | 2007 |\n| venice | 863133 | francesca zaccariotto | liga veneta | 2009 |\n| rovigo | 247884 | tiziana virgili | democratic party | 2009 |\n| belluno | 213474 | gianpaolo bottacin | liga veneta | 2009 |" + } + ] + }, + { + "id": "table_recognition_train_item_32637", + "image": "table_instructV/images/TABMWP_20222.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | Not spicy | A little spicy |\n| --- | --- | --- |\n| Yellowtail | 3 | 3 |\n| Salmon | 1 | 6 |" + } + ] + }, + { + "id": "table_recognition_train_item_56818", + "image": "table_instructV/images/TabFact_2-15277629-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| year (ceremony) | original title | english title | director | result |\n| --- | --- | --- | --- | --- |\n| 1960 | a morte comanda o cangaço | death commands brigandage | carlos coimbra & walter guimarães motta | not nominated |\n| 1962 | o pagador de promessas | keeper of promises a | anselmo duarte | nominee |\n| 1964 | deus e o diabo na terra do sol | the black god and the white devil | glauber rocha | not nominated |\n| 1965 | são paulo , sociedade anônima | são paulo incorporated | luis sérgio person | not nominated |\n| 1967 | o caso dos irmãos naves | the case of the nave brothers | luis sérgio person | not nominated |\n| 1968 | as amorosas | the amorous ones | walter hugo khouri | not nominated |\n| 1970 | o dragão da maldade contra o santo guerreiro | antonio das mortes | glauber rocha | not nominated |\n| 1971 | pecado mortal | mortal sin | miguel faria , jr | not nominated |\n| 1972 | pra quem fica , tchau | pra quem fica , tchau | reginaldo faria | not nominated |\n| 1973 | como era gostoso o meu francês | how tasty was my little frenchman | nelson pereira dos santos | not nominated |\n| 1974 | a faca e o rio | john , the knife and the river | george sluizer | not nominated |\n| 1975 | a noite do espantalho | the scarecrow 's night | sérgio ricardo | not nominated |\n| 1976 | o amuleto de ogum | ogum 's amulet | nelson pereira dos santos | not nominated |\n| 1977 | xica da silva | xica | cacá diegues | not nominated |\n| 1978 | tenda dos milagres | tent of miracles | nelson pereira dos santos | not nominated |\n| 1979 | a lira do delírio | the lyre of delight | walter lima , jr | not nominated |\n| 1981 | bye bye brasil | bye bye brazil | cacá diegues | not nominated |\n| 1985 | memórias do cárcere | memoirs of prison | nelson pereira dos santos | not nominated |\n| 1987 | a hora da estrela | the hour of the star | suzana amaral | not nominated |\n| 1988 | um trem para as estrelas | subway to the stars | cacá diegues | not nominated |\n| 1989 | romance da empregada | the story of fausta | bruno barreto | not nominated |\n| 1990 | dias melhores virão | better days ahead | cacá diegues | not nominated |\n| 1996 | o quatrilho | o quatrilho | fábio barreto | nominee |\n| 1997 | tieta do agreste | tieta do agreste | cacá diegues | not nominated |\n| 1998 | o que é isso , companheiro | four days in september | bruno barreto | nominee |\n| 1999 | central do brasil b | central station | walter salles | nominee |\n| 2000 | orfeu | orfeu | cacá diegues | not nominated |\n| 2001 | eu , tu , eles | me , you , them | andrucha waddington | not nominated |\n| 2002 | abril despedaçado | behind the sun | walter salles | not nominated |\n| 2003 | cidade de deus c | city of god | fernando meirelles | not nominated |\n| 2004 | carandiru | carandiru | hector babenco | not nominated |\n| 2005 | olga | olga | jayme monjardim | not nominated |\n| 2006 | dois filhos de francisco | two sons of francisco | breno silveira | not nominated |\n| 2007 | cinema , aspirinas e urubus | cinema , aspirins and vultures | marcelo gomes | not nominated |\n| 2008 | o ano em que meus pais saíram de férias | the year my parents went on vacation | cao hamburger | made january shortlist |\n| 2009 | última parada 174 | last stop 174 | bruno barreto | not nominated |\n| 2010 | salve geral | time of fear | sérgio rezende | not nominated |\n| 2011 | lula , o filho do brasil | lula , o filho do brasil | fábio barreto | not nominated |\n| 2012 | tropa de elite 2 | the elite squad 2 | josé padilha | not nominated |\n| 2013 | o palhaço | the clown | selton mello | not nominated |\n| 2014 | neighbouring sounds | o som ao redor | kleber mendonça filho | tbd |" + } + ] + }, + { + "id": "table_recognition_train_item_58128", + "image": "table_instructV/images/TabFact_2-15366768-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| element | nuclide | z ( p ) | n ( n ) | isotopic mass ( u ) |\n| --- | --- | --- | --- | --- |\n| beryllium | 9 be | 4 | 5 | 9.012 182 (3) |\n| fluorine | 19 f | 9 | 10 | 18.998 403 2 (5) |\n| sodium | 23 na | 11 | 12 | 22.989 770 (2) |\n| aluminium | 27 al | 13 | 14 | 26.981 538 (2) |\n| phosphorus | 31 p | 15 | 16 | 30.973 761 (2) |\n| scandium | 45 sc | 21 | 24 | 44.955 910 (8) |\n| manganese | 55 mn | 25 | 30 | 54.938 049 (9) |\n| cobalt | 59 co | 27 | 32 | 58.933 200 (9) |\n| arsenic | 75 as | 33 | 42 | 74.921 60 (2) |\n| yttrium | 89 y | 39 | 50 | 88.905 85 (2) |\n| niobium | 93 nb | 41 | 52 | 92.906 38 (2) |\n| rhodium | 103 rh | 45 | 58 | 102.905 50 (2) |\n| iodine | 127 i | 53 | 74 | 126.904 47 (3) |\n| caesium | 133 cs | 55 | 78 | 132.905 45 (2) |\n| praseodymium | 141 pr | 59 | 82 | 140.907 65 (2) |\n| terbium | 159 tb | 65 | 94 | 158.925 34 (2) |\n| holmium | 165 ho | 67 | 98 | 164.930 32 (2) |\n| thulium | 169 tm | 69 | 100 | 168.934 21 (2) |\n| gold | 197 au | 79 | 118 | 196.966 55 (2) |\n| bismuth | 209 bi | 83 | 126 | 208.980 38 (2) |\n| thorium | 232 th | 90 | 142 | 232.038 1 (1) |\n| protactinium | 231 pa | 91 | 140 | 231.035 88 (2) |" + } + ] + }, + { + "id": "table_recognition_train_item_50698", + "image": "table_instructV/images/TAT-QA_080e249d-9854-4197-ab4b-dbbb8c0fcc21.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | TOTAL AVAILABLE | DRAWN | LETTERS OF CREDIT | COMMERCIAL PAPER OUTSTANDING | NET AVAILABLE |\n| --- | --- | --- | --- | --- | --- |\n| Committed credit facilities | | | | | |\n| Unsecured revolving and expansion credit facilities (1) (2) | 4,000 | – | – | 1,951 | 2,049 |\n| Other | 106 | – | 106 | – | – |\n| Total committed credit facilities | 4,106 | – | 106 | 1,951 | 2,049 |\n| Total non-committed credit facilities | 1,939 | – | 1,059 | – | 880 |\n| Total committed and non-committed credit facilities | 6,045 | – | 1,165 | 1,951 | 2,929 |" + } + ] + }, + { + "id": "table_recognition_train_item_61356", + "image": "table_instructV/images/TabFact_2-13939267-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| representative 1 | representative 2 | representative 3 | representative 4 | representative 5 | representative 6 | representative 7 |\n| --- | --- | --- | --- | --- | --- | --- |\n| middelthon , h | l oftedal , v | egede - nissen , a | heggelund , h | svensen , v | gjøstein , sda | wrangell , fv |\n| norem , h | l oftedal , v | olsen - hagen , a | heggelund , h | meling , v | løge , sda | wrangell , fv |\n| olsen - hagen , a | norem , h | tveteraas , v | oj olsen , a | heggelund , h | jørgensen , v | førre , a |\n| rygh , v | norem , h | olsen - hagen , a | rønnevig , v | kjær , h | oj olsen , a | peersen , v |\n| olsen - hagen , a | rygh , v | nielsen , h | oj olsen , a | peersen , v | førre , a | jacobsen , h |\n| natvig - pedersen , a | rygh , v | nielsen , h | oj olsen , a | meling , v | kjær , h | førre , a |\n| natvig - pedersen , a | c oftedal , v | friis , a | nielsen , h | westerlund , a | o olsen , v | s oftedal , a |\n| natvig - pedersen , a | ingebretsen , v | friis , a | nielsen , h | nilsen , a | osland , v | hegna , a |" + } + ] + }, + { + "id": "table_recognition_train_item_32839", + "image": "table_instructV/images/TABMWP_22773.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Employee | Pay period | |\n| --- | --- |\n| Mark Simpson | October 20-26 | |\n| Total earnings | | $618.00 |\n| Federal income tax | $70.45 | |\n| Other taxes | $47.20 | |\n| Total taxes | | ? |\n| Pay after taxes | | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_51384", + "image": "table_instructV/images/TAT-QA_fa08bc30-b9ab-43c3-8e48-3b90a6394181.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| | | | Year Ended December 31 | | |\n| --- | --- | --- | --- | --- | --- |\n| | 2019 | % Change | 2018 | % Change | 2017 |\n| | | | (In thousands, except percentage data) | | |\n| Cost of revenue | $704,535 | (1.8)% | $717,118 | (2.0)% | $731,453 |\n| Gross margin percentage | 29.5% | | 32.3% | | 29.6% |" + } + ] + }, + { + "id": "table_recognition_train_item_107026", + "image": "table_instructV/images/ToTTo_train_table_29517.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Year | Winner | Runner-up | Second runner-up | Third runner-up |\n| --- | --- | --- | --- | --- |\n| 1972 | Marie LaVerne | N/A | N/A | N/A |\n| 1973 | Joyce Grable | N/A | N/A | N/A |\n| 1974 | Rachel Dubois | N/A | N/A | N/A |\n| 1975 | Ann Casey | N/A | N/A | N/A |\n| 1976 | Sue Green | Kitty Adams | Early Dawn | Vicki Williams |\n| 2000 | Stephanie McMahon | Lita | Chyna | Major Gunns |\n| 2001 | Lita | Stephanie McMahon | Stacy Keibler | Torrie Wilson |\n| 2002 | Trish Stratus | Stephanie McMahon | Stacy Keibler | Torrie Wilson |\n| 2003 | Trish Stratus (2) | Stephanie McMahon | Victoria | Torrie Wilson |\n| 2004 | Victoria | Trish Stratus | Stacy Keibler | Molly Holly |\n| 2005 | Trish Stratus (3) | Christy Hemme | Melina | Lita |\n| 2006 | Trish Stratus (4) | Dixie Carter | Mickie James | Lita |\n| 2007 | Candice Michelle | Beth Phoenix | Gail Kim | Karen Angle |\n| 2008 | Awesome Kong | Beth Phoenix | Mickie James | Michelle McCool |\n| 2009 | Mickie James | Angelina Love | Tara | Michelle McCool |\n| 2010 | Michelle McCool | Angelina Love | Madison Rayne | Madison Eagles |\n| 2011 | Mickie James (2) | Kelly Kelly | Beth Phoenix | Madison Eagles |\n| 2012 | AJ Lee | Gail Kim | Eve Torres | Sara Del Rey |\n| 2013 | AJ Lee (2) | Cheerleader Melissa | Dixie Carter | Kaitlyn |\n| 2014 | AJ Lee (3) | Paige | Stephanie McMahon | Jessicka Havok |\n| 2015 | Sasha Banks | Nikki Bella | Charlotte | Paige |\n| 2016 | Charlotte Flair | Sasha Banks | Bayley | Becky Lynch |\n| 2017 | Asuka | Alexa Bliss | Charlotte Flair | Sienna |\n| 2018 | Becky Lynch | Ronda Rousey | Asuka | Tessa Blanchard |" + } + ] + }, + { + "id": "table_recognition_train_item_32391", + "image": "table_instructV/images/TABMWP_17398.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $870 | 17,100 | 17,400 |\n| $890 | 15,000 | 18,400 |\n| $910 | 12,900 | 19,400 |\n| $930 | 10,800 | 20,400 |\n| $950 | 8,700 | 21,400 |" + } + ] + }, + { + "id": "table_recognition_train_item_32797", + "image": "table_instructV/images/TABMWP_22227.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $300 | 19,600 | 8,600 |\n| $390 | 15,600 | 8,800 |\n| $480 | 11,600 | 9,000 |\n| $570 | 7,600 | 9,200 |\n| $660 | 3,600 | 9,400 |" + } + ] + }, + { + "id": "table_recognition_train_item_31635", + "image": "table_instructV/images/TABMWP_9574.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Number of restaurant tables | Number of bowls |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_116441", + "image": "table_instructV/images/Rotowire_train_table_2563.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Jazz | Utah | 110 | 33 | 21 | 25 | 31 | 16 | 47 | 10 | 46 | 78 | 36 | 12 | 14 | | | | |\n| Suns | Phoenix | 89 | 21 | 22 | 18 | 28 | 12 | 40 | 13 | 39 | 91 | 29 | 12 | 18 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Jazz | | | | | | | | | | | | | | | | | | |\n| Gordon Hayward | 36 | 24 | 3 | 4 | 8-16 | 50% | 2-9 | 22% | 6-6 | 100% | 2 | 1 | 1 | 0 | 3 | 1 | F | Utah |\n| Derrick Favors | 33 | 18 | 9 | 2 | 6-12 | 50% | 0-0 | 0% | 6-8 | 75% | 0 | 3 | 2 | 4 | 5 | 3 | C | Utah |\n| Rodney Hood | 35 | 14 | 4 | 1 | 3-8 | 38% | 2-4 | 50% | 6-8 | 75% | 3 | 0 | 1 | 0 | 4 | 2 | G | Utah |\n| Alec Burks | 20 | 13 | 2 | 0 | 3-7 | 43% | 1-1 | 100% | 6-9 | 67% | 0 | 2 | 0 | 0 | 2 | 3 | N/A | Utah |\n| Trey Burke | 22 | 11 | 3 | 2 | 4-10 | 40% | 1-4 | 25% | 2-2 | 100% | 0 | 1 | 0 | 0 | 3 | 1 | N/A | Utah |\n| Raul Neto | 20 | 9 | 4 | 3 | 4-8 | 50% | 1-3 | 33% | 0-0 | 0% | 1 | 2 | 0 | 1 | 3 | 1 | G | Utah |\n| Trevor Booker | 26 | 9 | 8 | 2 | 4-7 | 57% | 1-1 | 100% | 0-0 | 0% | 2 | 1 | 0 | 5 | 3 | 4 | N/A | Utah |\n| Trey Lyles | 25 | 6 | 7 | 1 | 2-4 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 1 | 6 | 0 | F | Utah |\n| Elijah Millsap | 10 | 3 | 2 | 1 | 1-4 | 25% | 0-2 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Utah |\n| Chris Johnson | 2 | 3 | 0 | 0 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Utah |\n| Joe Ingles | 1 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Utah |\n| Jeff Withey | 11 | 0 | 4 | 0 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 2 | 0 | 4 | 1 | N/A | Utah |\n| Tibor Pleiss | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Suns | | | | | | | | | | | | | | | | | | |\n| Brandon Knight | 35 | 26 | 2 | 2 | 8-17 | 47% | 2-8 | 25% | 8-8 | 100% | 0 | 3 | 0 | 1 | 1 | 4 | N/A | Phoenix |\n| Mirza Teletovic | 21 | 17 | 7 | 0 | 5-6 | 83% | 3-4 | 75% | 4-4 | 100% | 0 | 1 | 0 | 0 | 7 | 3 | N/A | Phoenix |\n| TJ Warren | 21 | 9 | 3 | 0 | 4-9 | 44% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 2 | 1 | 1 | F | Phoenix |\n| Eric Bledsoe | 26 | 8 | 2 | 3 | 2-10 | 20% | 0-2 | 0% | 4-4 | 100% | 0 | 0 | 0 | 0 | 2 | 2 | G | Phoenix |\n| Jon Leuer | 16 | 6 | 5 | 0 | 3-9 | 33% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 4 | 1 | F | Phoenix |\n| Devin Booker | 13 | 6 | 0 | 0 | 2-4 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 0 | 2 | G | Phoenix |\n| Alex Len | 17 | 5 | 3 | 0 | 2-6 | 33% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 0 | 1 | 2 | 3 | N/A | Phoenix |\n| Markieff Morris | 21 | 4 | 6 | 4 | 2-7 | 29% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 3 | 3 | 3 | N/A | Phoenix |\n| Archie Goodwin | 10 | 4 | 2 | 1 | 2-4 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Phoenix |\n| Ronnie Price | 17 | 3 | 2 | 0 | 1-2 | 50% | 1-2 | 50% | 0-0 | 0% | 2 | 1 | 0 | 1 | 1 | 3 | N/A | Phoenix |\n| Tyson Chandler | 18 | 1 | 3 | 0 | 0-1 | 0% | 0-0 | 0% | 1-2 | 50% | 1 | 1 | 0 | 0 | 3 | 0 | C | Phoenix |\n| PJ Tucker | 25 | 0 | 5 | 2 | 0-4 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 5 | 3 | N/A | Phoenix |\n| Sonny Weems | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |" + } + ] + }, + { + "id": "table_recognition_train_item_33901", + "image": "table_instructV/images/TABMWP_33835.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $620 | 18,700 | 4,800 |\n| $650 | 15,400 | 6,500 |\n| $680 | 12,100 | 8,200 |\n| $710 | 8,800 | 9,900 |\n| $740 | 5,500 | 11,600 |" + } + ] + }, + { + "id": "table_recognition_train_item_57586", + "image": "table_instructV/images/TabFact_2-16141050-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| district | incumbent | 2008 status | democratic | republican |\n| --- | --- | --- | --- | --- |\n| 1 | steve chabot | re - election | steve driehaus | steve chabot |\n| 2 | jean schmidt | re - election | victoria wulsin | jean schmidt |\n| 3 | mike turner | re - election | jane mitakides | mike turner |\n| 4 | jim jordan | re - election | mike carroll | jim jordan |\n| 5 | bob latta | re - election | george mays | bob latta |\n| 6 | charlie wilson | re - election | charlie wilson | richard stobbs |\n| 7 | david hobson | open | sharen neuhardt | steve austria |\n| 8 | john boehner | re - election | nicholas von stein | john boehner |\n| 9 | marcy kaptur | re - election | marcy kaptur | bradley leavitt |\n| 10 | dennis kucinich | re - election | dennis kucinich | jim trakas |\n| 11 | marcia l fudge | re - election | marcia l fudge | thomas pekarek |\n| 12 | pat tiberi | re - election | david robinson | pat tiberi |\n| 13 | betty sutton | re - election | betty sutton | david potter |\n| 14 | steve latourette | re - election | bill o'neill | steve latourette |\n| 15 | deborah pryce | open | mary jo kilroy | steve stivers |\n| 16 | ralph regula | open | john boccieri | kirk schuring |\n| 17 | tim ryan | re - election | tim ryan | duane grassell |\n| 18 | zack space | re - election | zack space | fred dailey |" + } + ] + }, + { + "id": "table_recognition_train_item_114953", + "image": "table_instructV/images/Rotowire_train_table_1819.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Warriors | Golden State | 110 | 19 | 33 | 30 | 28 | 26 | 46 | 20 | 54 | 70 | 46 | 2 | 0 | | | | |\n| Cavaliers | Cleveland | 77 | 21 | 23 | 18 | 15 | 15 | 34 | 17 | 35 | 67 | 22 | 0 | 2 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Draymond Green | 34 | 28 | 7 | 5 | 11-20 | 55% | 5-8 | 63% | 1-1 | 100% | 1 | 1 | 0 | 1 | 6 | 2 | F | Golden State |\n| Stephen Curry | 25 | 18 | 9 | 4 | 7-11 | 64% | 4-8 | 50% | 0-0 | 0% | 0 | 4 | 1 | 1 | 8 | 4 | G | Golden State |\n| Klay Thompson | 31 | 17 | 2 | 5 | 6-13 | 46% | 4-8 | 50% | 1-1 | 100% | 2 | 4 | 0 | 0 | 2 | 1 | G | Golden State |\n| Leandro Barbosa | 18 | 10 | 3 | 1 | 5-7 | 71% | 0-2 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 2 | 1 | N/A | Golden State |\n| Ian Clark | 8 | 7 | 3 | 1 | 3-4 | 75% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 1 | 2 | 1 | N/A | Golden State |\n| Shaun Livingston | 24 | 7 | 2 | 5 | 3-4 | 75% | 0-0 | 0% | 1-1 | 100% | 0 | 1 | 1 | 0 | 2 | 2 | N/A | Golden State |\n| Andre Iguodala | 28 | 7 | 5 | 3 | 3-6 | 50% | 0-2 | 0% | 1-3 | 33% | 0 | 2 | 1 | 3 | 2 | 1 | N/A | Golden State |\n| Festus Ezeli | 11 | 6 | 2 | 1 | 2-3 | 67% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 1 | 1 | 1 | N/A | Golden State |\n| Harrison Barnes | 35 | 5 | 5 | 1 | 2-7 | 29% | 0-2 | 0% | 1-2 | 50% | 1 | 3 | 1 | 1 | 4 | 0 | F | Golden State |\n| Marreese Speights | 5 | 3 | 0 | 0 | 1-2 | 50% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Golden State |\n| Andrew Bogut | 15 | 2 | 6 | 0 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 2 | 2 | 5 | 3 | 3 | 4 | C | Golden State |\n| Brandon Rush | 7 | 0 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | Golden State |\n| Anderson Varejao | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Cavaliers | | | | | | | | | | | | | | | | | | |\n| LeBron James | 34 | 19 | 8 | 9 | 7-17 | 41% | 1-5 | 20% | 4-4 | 100% | 4 | 7 | 1 | 0 | 8 | 3 | F | Cleveland |\n| Richard Jefferson | 26 | 12 | 5 | 0 | 4-6 | 67% | 0-0 | 0% | 4-6 | 67% | 1 | 1 | 1 | 2 | 3 | 2 | N/A | Cleveland |\n| Kyrie Irving | 33 | 10 | 3 | 1 | 5-14 | 36% | 0-3 | 0% | 0-0 | 0% | 3 | 3 | 0 | 1 | 2 | 1 | G | Cleveland |\n| Tristan Thompson | 19 | 8 | 5 | 0 | 3-8 | 38% | 0-0 | 0% | 2-2 | 100% | 1 | 0 | 0 | 3 | 2 | 4 | C | Cleveland |\n| Matthew Dellavedova | 17 | 7 | 1 | 2 | 2-9 | 22% | 1-2 | 50% | 2-2 | 100% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Cleveland |\n| Kevin Love | 21 | 5 | 3 | 0 | 2-7 | 29% | 1-4 | 25% | 0-0 | 0% | 1 | 1 | 0 | 0 | 3 | 0 | F | Cleveland |\n| JR Smith | 33 | 5 | 2 | 2 | 2-6 | 33% | 1-4 | 25% | 0-2 | 0% | 2 | 1 | 0 | 1 | 1 | 3 | G | Cleveland |\n| Timofey Mozgov | 12 | 5 | 3 | 0 | 1-3 | 33% | 0-0 | 0% | 3-4 | 75% | 1 | 2 | 0 | 2 | 1 | 3 | N/A | Cleveland |\n| Iman Shumpert | 20 | 3 | 1 | 0 | 1-3 | 33% | 1-3 | 33% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Cleveland |\n| Dahntay Jones | 5 | 3 | 0 | 0 | 1-2 | 50% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Cleveland |\n| Channing Frye | 4 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 1 | 0 | N/A | Cleveland |\n| Mo Williams | 8 | 0 | 0 | 1 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 2 | 1 | 0 | 0 | 0 | 0 | N/A | Cleveland |\n| James Jones | 9 | 0 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 0-2 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Cleveland |" + } + ] + }, + { + "id": "table_recognition_train_item_50980", + "image": "table_instructV/images/TAT-QA_5707c3ff-2eb3-47d0-b430-6fdbaa92f636.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| | Fiscal 2019 | Fiscal 2018 | 2019 to 2018 Change |\n| --- | --- | --- | --- |\n| | | (in millions of U.S. dollars) | |\n| Net cash provided by (used in): | | | |\n| Operating activities | $6,627 | $6,027 | $600 |\n| Investing activities | (1,756) | (1,250) | (506) |\n| Financing activities | (3,767) | (3,709) | (58) |\n| Effect of exchange rate changes on cash and cash equivalents | (39) | (134) | 95 |\n| Net increase (decrease) in cash and cash equivalents | $1,065 | $934 | $131 |" + } + ] + }, + { + "id": "table_recognition_train_item_114671", + "image": "table_instructV/images/Rotowire_train_table_1678.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wizards | Washington | 109 | 33 | 24 | 27 | 25 | 25 | 51 | 19 | 48 | 53 | 32 | 41 | 41 | | | | |\n| Hawks | Atlanta | 98 | 33 | 26 | 17 | 22 | 22 | 47 | 22 | 40 | 74 | 37 | 48 | 34 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| Ramon Sessions | 34 | 22 | 4 | 6 | 9-16 | 56% | 3-5 | 60% | 1-2 | 50% | 1 | 5 | 0 | 0 | 4 | 5 | G | Washington |\n| Nene | 29 | 19 | 8 | 8 | 8-12 | 67% | 0-0 | 0% | 3-5 | 60% | 3 | 3 | 0 | 3 | 5 | 3 | C | Washington |\n| Jared Dudley | 33 | 14 | 6 | 4 | 5-8 | 63% | 1-4 | 25% | 3-4 | 75% | 2 | 1 | 0 | 2 | 4 | 3 | F | Washington |\n| Marcus Thornton | 26 | 14 | 5 | 2 | 6-14 | 43% | 1-4 | 25% | 1-1 | 100% | 1 | 1 | 0 | 0 | 5 | 1 | G | Washington |\n| Garrett Temple | 16 | 12 | 1 | 1 | 4-7 | 57% | 2-4 | 50% | 2-3 | 67% | 1 | 6 | 1 | 0 | 1 | 0 | N/A | Washington |\n| Jarell Eddie | 21 | 7 | 5 | 1 | 2-5 | 40% | 1-3 | 33% | 2-2 | 100% | 1 | 0 | 0 | 1 | 4 | 1 | N/A | Washington |\n| JJ Hickson | 19 | 6 | 12 | 1 | 2-7 | 29% | 0-0 | 0% | 2-8 | 25% | 0 | 1 | 1 | 5 | 7 | 1 | N/A | Washington |\n| Kelly Oubre Jr. | 26 | 6 | 3 | 0 | 3-8 | 38% | 0-1 | 0% | 0-2 | 0% | 0 | 2 | 1 | 0 | 3 | 3 | N/A | Washington |\n| Otto Porter | 22 | 5 | 3 | 1 | 2-7 | 29% | 0-4 | 0% | 1-1 | 100% | 3 | 0 | 1 | 0 | 3 | 1 | F | Washington |\n| Alan Anderson | 12 | 3 | 4 | 1 | 1-4 | 25% | 1-3 | 33% | 0-0 | 0% | 1 | 0 | 0 | 0 | 4 | 4 | N/A | Washington |\n| Drew Gooden | 2 | 1 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 1-2 | 50% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Washington |\n| Marcin Gortat | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Hawks | | | | | | | | | | | | | | | | | | |\n| Al Horford | 30 | 19 | 8 | 2 | 6-10 | 60% | 2-5 | 40% | 5-5 | 100% | 1 | 2 | 1 | 0 | 8 | 2 | C | Atlanta |\n| Jeff Teague | 27 | 16 | 2 | 5 | 6-11 | 55% | 2-5 | 40% | 2-2 | 100% | 2 | 5 | 0 | 0 | 2 | 4 | G | Atlanta |\n| Paul Millsap | 31 | 13 | 11 | 1 | 4-14 | 29% | 0-2 | 0% | 5-6 | 83% | 2 | 4 | 3 | 4 | 7 | 3 | F | Atlanta |\n| Tim Hardaway Jr. | 16 | 13 | 4 | 1 | 4-7 | 57% | 3-4 | 75% | 2-2 | 100% | 0 | 1 | 0 | 0 | 4 | 0 | N/A | Atlanta |\n| Dennis Schroder | 21 | 11 | 0 | 3 | 4-11 | 36% | 1-3 | 33% | 2-6 | 33% | 1 | 3 | 0 | 0 | 0 | 1 | N/A | Atlanta |\n| Mike Scott | 17 | 10 | 3 | 1 | 3-4 | 75% | 2-2 | 100% | 2-2 | 100% | 0 | 0 | 0 | 2 | 1 | 1 | N/A | Atlanta |\n| Mike Muscala | 10 | 6 | 1 | 1 | 2-4 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 1 | 1 | 0 | 3 | N/A | Atlanta |\n| Kent Bazemore | 21 | 4 | 8 | 4 | 1-7 | 14% | 0-4 | 0% | 2-2 | 100% | 2 | 4 | 0 | 0 | 8 | 3 | F | Atlanta |\n| Kyle Korver | 29 | 3 | 0 | 1 | 1-5 | 20% | 1-4 | 25% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 2 | G | Atlanta |\n| Kris Humphries | 11 | 3 | 3 | 1 | 1-3 | 33% | 0-0 | 0% | 1-2 | 50% | 3 | 0 | 0 | 1 | 2 | 1 | N/A | Atlanta |\n| Thabo Sefolosha | 24 | 0 | 7 | 2 | 0-5 | 0% | 0-1 | 0% | 0-2 | 0% | 2 | 1 | 0 | 1 | 6 | 1 | N/A | Atlanta |\n| Kirk Hinrich | 3 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Atlanta |" + } + ] + }, + { + "id": "table_recognition_train_item_107724", + "image": "table_instructV/images/ToTTo_train_table_32435.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Storm name | Dates active | Storm category at peak intensity | Max 1-min wind mph (km/h) | Min. press. (mbar) | Areas affected | Damage (USD) | Deaths | Refs |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Arthur | May 31 – June 2 | Tropical storm | 45 (75) | 1004 | Belize, Yucatán Peninsula, Southwestern Mexico | $78 million | 5 (4) | |\n| Bertha | July 3 – July 20 | Category 3 hurricane | 125 (205) | 952 | Cape Verde, Bermuda, United States East Coast | Minimal | 3 | |\n| Cristobal | July 19 – July 23 | Tropical storm | 65 (100) | 998 | Florida, The Carolinas, Atlantic Canada | $10,000 | None | |\n| Dolly | July 20 – July 25 | Category 2 hurricane | 100 (155) | 963 | Guatemala, Yucatán Peninsula (Quintana Roo), Northeastern Mexico, South Texas, New Mexico, Arizona | $1.6 billion | 1 (21) | |\n| Edouard | August 3 – August 6 | Tropical storm | 65 (100) | 996 | United States Gulf Coast (Southeast Texas) | $5.5 million | 6 | |\n| Fay | August 15 – August 27 | Tropical storm | 70 (110) | 986 | Leeward Islands, Puerto Rico, Dominican Republic, Haiti, Jamaica, Cuba, Southeastern United States (Florida) | $560 million | 13 (23) | |\n| Gustav | August 25 – September 4 | Category 4 hurricane | 155 (250) | 941 | Lesser Antilles, Dominican Republic, Haiti, Jamaica, Cayman Islands, Western Cuba, United States Gulf Coast (Louisiana), Midwestern United States | $8.31 billion | 112 (41) | |\n| Hanna | August 28 – September 7 | Category 1 hurricane | 85 (140) | 977 | Puerto Rico, Turks and Caicos Islands, Bahamas, Haiti, Dominican Republic, United States East Coast (South Carolina), Atlantic Canada | $160 million | ≥532 (5) | |\n| Ike | September 1 – September 14 | Category 4 hurricane | 145 (230) | 935 | Dominican Republic, Turks and Caicos Islands, Haiti, The Bahamas, Cuba, United States Gulf Coast (Southeast Texas), Midwestern United States, Eastern Canada, Iceland | $38 billion | 103 (92) | |\n| Josephine | September 2 – September 6 | Tropical storm | 65 (100) | 994 | Cape Verde, Leeward Islands | Minimal | None | |\n| Kyle | September 25 – September 29 | Category 1 hurricane | 85 (140) | 984 | Puerto Rico, Dominican Republic, Haiti, Bermuda, New England, The Maritimes (Nova Scotia) | $57.1 million | 8 | |\n| Laura | September 29 – October 1 | Tropical storm | 60 (95) | 994 | British Isles, Netherlands, Norway | Minimal | None | |\n| Marco | October 6 – October 7 | Tropical storm | 65 (100) | 998 | Eastern Mexico (Veracruz) | Minimal | None | |\n| Nana | October 12 – October 14 | Tropical storm | 40 (65) | 1004 | None | None | None | |\n| Omar | October 13 – October 18 | Category 4 hurricane | 130 (215) | 958 | Leeward Antilles, Venezuela, Leeward Islands, Puerto Rico | $80 million | 0 (1) | |\n| Sixteen | October 14 – October 15 | Tropical depression | 30 (45) | 1004 | Honduras, Belize | ≥ $150 million | ≥ 75 | |\n| Paloma | November 5 – November 10 | Category 4 hurricane | 145 (230) | 944 | Nicaragua, Honduras, Cayman Islands, Jamaica, Cuba, The Bahamas, Florida | $454.5 million | 0 (1) | |\n| Season Aggregates |\n| 17 systems | May 30 – November 9 | | 155 (250) | 935 | | ≥ $49.46 billion | ≥ 858 (188) | |" + } + ] + }, + { + "id": "table_recognition_train_item_105572", + "image": "table_instructV/images/ToTTo_train_table_23393.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Year | Aggressor | Target | Forces | Commander | Result |\n| --- | --- | --- | --- | --- | --- |\n| 181 BC | Nanyue | Changsha | | | |\n| 113 BC | Han | Nanyue | 2,000 | Han Qianqiu | Defeated |\n| 112-111 BC (Autumn) Han conquest of Nanyue Han campaigns against Minyue | Han | Nanyue Minyue | 35,000 | Lu Bode Yang Pu Han Yue Wang Wenshu | Captured the capital Panyu and killed their king, Zhao Jiande The people of Minyue killed their own Zou Yushan Cangwu submitted |\n| 109 BC Han conquest of Dian | Han | Dian Kingdom Yelang | | Guo Chang Wei Guang | Annexed Dian, Yelang, and other tribes in Yunnan, establishing Yizhou Commandery |\n| 40 AD Trung sisters' rebellion | Trung sisters | Jiaozhi, Jiuzhen, and Rinan commanderies | | Trung sisters | Rebelled |\n| 42 AD Trung sisters' rebellion | Han | Trung sisters | 8,000 regulars 12,000 militia | Ma Yuan | Victory |\n| 136 AD | Qulian | Han | Several thousand | | People known as the Qulian from beyond the southern frontier invaded Rinan Commandery, causing turmoil and rebellion |\n| 137 AD | Natives | Han | | | Peacefully quelled |\n| 144 AD | Natives | Han | | | Peacefully quelled |\n| 157 AD | Chu Đạt | Han | 2,000 | Chu Đạt | Chu Đạt rebelled in Jiuzhen Commandery and was defeated |\n| 178 AD | Liang Long | Han | | Liang Long | Rebelled in Nanhai, Hepu, Jiuzhen, Jiaozhi, and Rinan commanderies |\n| 181 AD | Han | Liang Long | | Zhu Juan | Victory |" + } + ] + }, + { + "id": "table_recognition_train_item_114403", + "image": "table_instructV/images/Rotowire_train_table_1544.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 76ers | Philadelphia | 95 | 26 | 18 | 25 | 26 | 26 | 35 | 13 | 49 | 43 | 65 | 4 | 35 | | | | |\n| Raptors | Toronto | 108 | 25 | 32 | 18 | 33 | 19 | 37 | 13 | 55 | 78 | 29 | 24 | 15 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Ish Smith | 33 | 28 | 5 | 4 | 12-22 | 55% | 2-2 | 100% | 2-4 | 50% | 3 | 1 | 0 | 1 | 4 | 1 | G | Philadelphia |\n| Jahlil Okafor | 34 | 19 | 6 | 4 | 9-15 | 60% | 0-0 | 0% | 1-2 | 50% | 2 | 0 | 1 | 4 | 2 | 3 | C | Philadelphia |\n| Carl Landry | 13 | 11 | 3 | 0 | 5-6 | 83% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 2 | N/A | Philadelphia |\n| Hollis Thompson | 31 | 8 | 2 | 1 | 3-9 | 33% | 2-4 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 4 | N/A | Philadelphia |\n| Robert Covington | 9 | 6 | 0 | 0 | 2-5 | 40% | 2-3 | 67% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Philadelphia |\n| Isaiah Canaan | 10 | 6 | 0 | 1 | 2-3 | 67% | 2-2 | 100% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 2 | N/A | Philadelphia |\n| TJ McConnell | 15 | 5 | 1 | 8 | 2-6 | 33% | 1-1 | 100% | 0-0 | 0% | 2 | 0 | 0 | 0 | 1 | 1 | N/A | Philadelphia |\n| Nerlens Noel | 33 | 4 | 8 | 2 | 1-4 | 25% | 0-0 | 0% | 2-4 | 50% | 2 | 2 | 3 | 1 | 7 | 3 | F | Philadelphia |\n| Jerami Grant | 22 | 3 | 4 | 3 | 1-3 | 33% | 0-1 | 0% | 1-2 | 50% | 0 | 4 | 0 | 1 | 3 | 2 | F | Philadelphia |\n| Nik Stauskas | 24 | 3 | 5 | 2 | 1-4 | 25% | 1-3 | 33% | 0-0 | 0% | 0 | 3 | 1 | 1 | 4 | 3 | G | Philadelphia |\n| JaKarr Sampson | 17 | 2 | 1 | 1 | 1-3 | 33% | 0-0 | 0% | 0-2 | 0% | 0 | 1 | 0 | 0 | 1 | 2 | N/A | Philadelphia |\n| Richaun Holmes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Kendall Marshall | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| Kyle Lowry | 39 | 25 | 6 | 5 | 10-17 | 59% | 1-4 | 25% | 4-5 | 80% | 2 | 3 | 0 | 2 | 4 | 3 | G | Toronto |\n| DeMar DeRozan | 37 | 19 | 7 | 5 | 9-17 | 53% | 0-2 | 0% | 1-2 | 50% | 0 | 2 | 0 | 0 | 7 | 0 | G | Toronto |\n| Jonas Valanciunas | 29 | 17 | 9 | 2 | 7-10 | 70% | 0-0 | 0% | 3-5 | 60% | 1 | 1 | 2 | 3 | 6 | 3 | C | Toronto |\n| Terrence Ross | 24 | 16 | 2 | 0 | 6-10 | 60% | 1-4 | 25% | 3-4 | 75% | 1 | 1 | 0 | 0 | 2 | 2 | N/A | Toronto |\n| Patrick Patterson | 30 | 11 | 2 | 2 | 3-5 | 60% | 3-4 | 75% | 2-2 | 100% | 0 | 1 | 1 | 0 | 2 | 2 | N/A | Toronto |\n| Cory Joseph | 31 | 9 | 5 | 4 | 1-4 | 25% | 0-1 | 0% | 7-8 | 88% | 1 | 2 | 1 | 0 | 5 | 0 | N/A | Toronto |\n| James Johnson | 13 | 5 | 0 | 0 | 2-5 | 40% | 0-1 | 0% | 1-1 | 100% | 1 | 1 | 0 | 0 | 0 | 3 | F | Toronto |\n| Luis Scola | 18 | 2 | 2 | 0 | 1-5 | 20% | 0-1 | 0% | 0-0 | 0% | 1 | 2 | 1 | 0 | 2 | 2 | F | Toronto |\n| Norman Powell | 2 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Toronto |\n| Bismack Biyombo | 18 | 2 | 4 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 2 | 1 | 3 | 1 | N/A | Toronto |\n| Delon Wright | 1 | 0 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Toronto |\n| Bruno Caboclo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Lucas Nogueira | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |" + } + ] + }, + { + "id": "table_recognition_train_item_68488", + "image": "table_instructV/images/TabFact_1-2311410-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| season | episodes | series premiere | series finale | winning couple | winning profit ( aud ) | host (s) | judges |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 13 | 1 june 2003 | 17 august 2003 | adam thorn fiona mills | 156000 | jamie durie | john mcgrath |\n| 2 | 26 | 18 april 2004 | 25 july 2004 | andrew rochford jamie nicholson | 78000 | jamie durie | john mcgrath |\n| 3 | 9 | 22 september 2010 | 24 november 2010 | john and neisha pitt | 205000 | scott cam | john mcgrath neale whitaker |\n| 4 | 51 | 20 june 2011 | 21 august 2011 | polly porter warwick waz jones | 15000 | scott cam shelley craft | john mcgrath neale whitaker |\n| 5 | 65 | 16 april 2012 | 1 july 2012 | brad cranfield lara welham | 506000 | scott cam shelley craft | john mcgrath neale whitaker shaynna blaze |\n| all - stars | 39 | 4 february 2013 | 20 march 2013 | phil rankine amity dry | 295000 | scott cam shelley craft | neale whitaker shaynna blaze darren palmer |\n| sky high | 66 | 12 may 2013 | 28 july 2013 | alisa and lysandra fraser | 295000 | scott cam shelley craft | neale whitaker shaynna blaze darren palmer |" + } + ] + }, + { + "id": "table_recognition_train_item_100814", + "image": "table_instructV/images/ToTTo_train_table_3453.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Astronomer | Discoveries | DOB–DOD | Country | Link-label; info, links, and notes | Name(s) at MPC | Cite |\n| --- | --- | --- | --- | --- | --- | --- |\n| Hiroshi Abe (astronomer) | 28 | 1958–pres. | Japan | H. Abe; | H. Abe | (5379) |\n| Masanao Abe | 2 | 1967–pres. | Japan | M. Abe; disc: MPC and MPC | M. Abe | (8926) |\n| Mark Abraham (astronomer) | 3 | n.a. | United States | M. Abraham; amateur, Src | M. Abraham | — |\n| Christopher Aikman | 4 | 1943–pres. | Canada | G. C. L. Aikman; | G. C. L. Aikman | — |\n| Makio Akiyama | 16 | 1950–pres. | Japan | M. Akiyama; Susono Observatory | M. Akiyama | (4904) |\n| Vladimir Albitsky | 10 | 1891–1951 | Russia Soviet Union | V. Albitskij; Simeiz Observatory | V. Albitskij | (1783) |\n| Gregory Scott Aldering | 4 | 1962–pres. | United States | G. Aldering; | G. Aldering | (26533) |\n| Heikki A. Alikoski | 13 | 1912–1997 | Finland | H. Alikoski; Turku Obs. | H. Alikoski | (1567) |\n| Éric J. Allen | 1 | n.a. | Canada | É. J. Allen; | E. J. Allen | — |\n| Rhiannon Lynne Allen | 3 | n.a. | Canada | R. L. Allen; disc: MPC, MPC and MPC | R. L. Allen; L. Allen | — |\n| Jeff T. Alu | 24 | 1966–pres. | United States | J. Alu; amateur | J. Alu | (4104) |\n| Leonard L. Amburgey | 2 | 1945–pres. | United States | L. L. Amburgey; amateur, disc: MPC and MPC | L. L. Amburgey | — |\n| A. David Andrews | 1 | 1933–pres. | United Kingdom | A. D. Andrews; | A. D. Andrews | — |\n| Milan Antal | 17 | 1935–1999 | Slovakia | M. Antal; | M. Antal | (6717) |\n| Plinio Antolini | 4 | 1920–2012 | Italy | P. Antolini; amateur, (bio-it) | P. Antolini | — |\n| Pierre Antonini | 35 | n.a. | France | P. Antonini; amateur | P. Antonini | (12580) |\n| Masakatsu Aoki | 2 | 1957–pres. | Japan | M. Aoki; amateur; unrelated to 5337 | M. Aoki | — |\n| Rolf Apitzsch | 72 | 1943–pres. | Germany | R. Apitzsch; amateur, (bio-de) | R. Apitzsch | (29214) |\n| Masaru Arai | 45 | 1952–pres. | Japan | M. Arai; amateur | M. Arai | (21082) |\n| Hiroshi Araki | 3 | n.a. | Japan | H. Araki; unrelated to 4718 | H. Araki | — |\n| Sylvain Arend | 51 | 1902–1992 | Belgium | S. Arend; | S. J. Arend | (1502) |\n| Claire Armstrong | 1 | n.a. | United Kingdom | C. Armstrong; amateur, wife of M. Armstrong | C. Armstrong | (15967) |\n| Mark Armstrong (astronomer) | 2 | 1958–pres. | United Kingdom | M. Armstrong; amateur, husband of C. Armstrong, unrelated to 6469 | M. Armstrong | — |\n| Atsuo Asami | 7 | n.a. | Japan | A. Asami; | A. Asami | — |\n| David J. Asher | 10 | 1966–pres. | United Kingdom | D. J. Asher; | D. J. Asher | (6564) |\n| Karl Augustesen | 6 | 1945–pres. | Denmark | K. Augustesen; | K. Augustesen | (5171) |\n| Walter Baade | 10 | 1893–1960 | Germany | W. Baade; | W. Baade | (1501) |\n| Ulrika Babiaková | 14 | 1976–2002 | Slovakia | U. Babiaková; | U. Babiakova | (32531) |\n| Paolo Bacci | 1 | 1968–pres. | Italy | P. Bacci; | P. Bacci | (108205) |\n| Hannes Bachleitner | 2 | 1965–pres. | Austria | H. Bachleitner; also Johannes Bachleitner, amateur, disc: MPC and MPC | H. Bachleitner | (172932) |\n| Solon Irving Bailey | 1 | 1854–1931 | United States | S. I. Bailey; unrelated to 449922 | S. I. Bailey | — |\n| David D. Balam | 56 | n.a. | Canada | D. D. Balam; | D. D. Balam | (3749) |\n| Loren C. Ball | 107 | 1948–pres. | United States | L. Ball; amateur | L. Ball | — |\n| Thomas J. Balonek | 9 | n.a. | United States | T. J. Balonek; | T. J. Balonek; T. Balonek | — |\n| Odette Bancilhon | 1 | 1908–1998 | France | O. Bancilhon; disc: List of minor planets: 1001–2000#333 | O. Bancilhon | (1713) |\n| Susan Banh | 1 | n.a. | Canada | S. Banh; (bio-it) | S. Banh | — |\n| Nigel P. Bannister | 1 | n.a. | United Kingdom | N. P. Bannister; University of Leicester | N. P. Bannister | — |\n| Yoshiaki Banno | 1 | 1952–1991 | Japan | Y. Banno; | Y. Banno | (3394) |\n| Cesare Barbieri | 7 | 1942–pres. | Italy | C. Barbieri; | C. Barbieri | (13992) |\n| John C. Barentine | 1 | 1976–pres. | United States | J. C. Barentine; | J. C. Barentine | (14505) |\n| Kristina M. Barkume | 1 | n.a. | United States | K. M. Barkume; (bio-it) | K. M. Barkume | — |\n| Ewan Barr | 5 | n.a. | United States | E. Barr; (bio-it) | E. Barr | — |\n| Sergio Barros | 7 | n.a. | Chile | S. Barros; (bio-it) | S. Barros | — |\n| Sandro Bartolini | 1 | 1974-pres. | Italy | S. Bartolini; unrelated to 12399 | S. Bartolini | (11337) |\n| Maria A. Barucci | 3 | n.a. | Italy France | M. A. Barucci; disc: MPC, MPC and MPC | M. A. Barucci; M. Barucci | (3485) |\n| Ivo Baueršíma | 1 | 1931–pres. | Switzerland Czech Republic | I. Baueršíma; (bio-de) | I. Bauersima | — |\n| Johann M. Baur | 15 | 1930–2007 | Germany | J. M. Baur; amateur, (bio-de) | J. M. Baur | (11673) |\n| David E. Beatty | 1 | n.a. | United States | D. Beatty; (bio-it); unrelated to 2925 | D. Beatty | — |\n| D. Beaver | 1 | n.a. | United States | D. Beaver; amateur, co-discoverer with J. Dellinger at Needville, TX | D. Beaver | — |\n| Andrew C. Becker | 634 | 1973–pres. | United States | A. C. Becker; (bio-it) | A. C. Becker | (5280) |\n| Jim Bedient | 6 | n.a. | United States | J. Bedient; | J. Bedient | — |\n| E. S. Beeson | 1 | n.a. | United States | E. S. Beeson; unrelated to 5241 | E. S. Beeson | — |\n| Raoul Behrend | 13 | 1964–pres. | Switzerland | R. Behrend; (bio-fr) | R. Behrend | (18874) |\n| Bruce Edward Behymer | 1 | 1983–pres. | United States | B. E. Behymer; (bio-it) | B. E. Behymer | — |\n| Sergey Belyavsky | 36 | 1883–1953 | Russia | S. Belyavskyj; | S. Beljavskij | — |\n| Graham E. Bell | 56 | n.a. | United States | G. Bell; | G. Bell | — |\n| Federico Bellini | 3 | n.a. | Italy | F. Bellini; (bio-it), unrelated to 18509 | F. Bellini | — |\n| Yuri A. Belyaev | 7 | n.a. | Russia | Yu. A. Belyaev; it:Jurij A. Beljaev, fr:Iouri Beliaïev, unrelated to 2030 | Yu. A. Belyaev | — |\n| Denis Bergeron | 2 | 1956–pres. | Canada | D. Bergeron; (bio-it) | D. Bergeron | — |\n| Fabrizio Bernardi | 11 | 1972–pres. | Italy | F. Bernardi; | F. Bernardi | (27983) |\n| Laurent Bernasconi | 12 | 1966–pres. | France | L. Bernasconi; amateur, (bio-fr) | L. Bernasconi | (13793) |\n| K. Berney | 1 | n.a. | United States | K. Berney; | K. Berney | — |\n| Gary M. Bernstein | 3 | n.a. | United States | G. Bernstein; unrelated to 4476 | G. Bernstein | — |\n| Emanuel Bettelheim | 1 | n.a. | United States | E. Bettelheim; | E. Bettelheim | — |\n| Francesco Biasci | 1 | n.a. | Italy | F. Biasci; | F. Biasci | — |\n| Wolf Bickel | 668 | 1942–pres. | Germany | W. Bickel; amateur | W. Bickel | (4324) |\n| Jamie Biggs | 1 | n.a. | Australia | J. Biggs; | J. Biggs | — |\n| Guillaume Bigourdan | 1 | 1851–1932 | France | G. Bigourdan; disc: 390 | G. Bigourdan | — |\n| Gary W. Billings | 6 | n.a. | Canada | G. W. Billings; amateur, (bio-fr) | G. W. Billings | (73703) |\n| Richard P. Binzel | 3 | 1958–pres. | United States | R. P. Binzel; | R. P. Binzel | (2873) |\n| Kurt Birkle | 9 | 1939–2010 | Germany | K. Birkle; (bio-de) | K. Birkle | (4803) |\n| Peter Birtwhistle | 87 | 1958–pres. | United Kingdom | P. Birtwhistle; amateur, Src | P. Birtwhistle | (65100) |\n| Manolo Blasco | 5 | n.a. | Spain | M. Blasco; (bio-it) | M. Blasco | — |\n| Adam Block (astronomer) | 1 | 1973–pres. | United States | A. Block; (bio-it) | A. Block | (172525) |\n| Andrea Boattini | 296 | 1969–pres. | Italy | A. Boattini; | A. Boattini | (8925) |\n| Hermann Boehnhardt | 1 | n.a. | Germany | H. Boehnhardt; | H. Boehnhardt | — |\n| Andreas Boeker | 2 | 1964–2011 | Germany | A. Boeker; amateur, disc: MPC and MPC, (bio-it), | A. Boeker | (29483) |\n| Michel Bœuf | 12 | n.a. | France | M. Boeuf; (bio-it) | M. Boeuf | — |\n| Henri M. J. Boffin | 11 | n.a. | Belgium | H. Boffin; | H. M. J. Boffin; H. Boffin | — |\n| Alfred Bohrmann | 9 | 1904–2000 | Germany | A. Bohrmann; | A. Bohrmann | (1635) |\n| Tom Boles | 1 | 1944–pres. | United Kingdom Scotland | T. Boles; amateur | T. Boles | (7648) |\n| Dennis Borgman | 1 | 1952–pres. | United States | D. Borgman; | D. Borgman | (95219) |\n| Freimut Börngen | 538 | 1930–pres. | Germany | F. Börngen; | F. Borngen | (3859) |\n| Alphonse Borrelly | 18 | 1842–1926 | France | A. Borrelly; | A. Borrelly | (1539) |\n| Grégoire Bourban | 2 | n.a. | Switzerland | G. Bourban; disc: MPC and MPC | G. Bourban | — |\n| Paul Bourgeois | 1 | 1898–1974 | Belgium | P. Bourgeois; (bio-it) | P. Bourgeois | (1543) |\n| Edward L. G. Bowell | 571 | 1943–pres. | United States | E. Bowell; | E. Bowell | (2246) |\n| Louis Boyer (astronomer) | 40 | 1901–1999 | France | L. Boyer; | L. Boyer | (1215) |\n| Richard P. Boyle | 2 | 1943–pres. | United States | R. P. Boyle; disc: MPC and MPC, Src | R. P. Boyle | (302849) |\n| Joseph L. Brady | 1 | n.a. | United States | J. L. Brady; (bio-it) | J. L. Brady | — |\n| Nigel Brady (astronomer) | 7 | n.a. | New Zealand | N. Brady; | N. Brady | — |\n| Steve Brady (astronomer) | 2 | n.a. | United States | S. Brady; disc: MPC and MPC, (bio-it) | S. Brady | — |\n| Alexis Brandeker | 4 | 1974–pres. | Sweden | A. Brandeker; | A. Brandeker | — |\n| Vanja Brcic | 2 | n.a. | Croatia | V. Brcic; (bio-it) | V. Brcic | — |\n| John Broughton | 1176 | 1952–pres. | Australia | J. Broughton; amateur | J. Broughton | (24105) |\n| Jeffery A. Brown | 1 | n.a. | United States | J. A. Brown; Src | J. A. Brown | — |\n| Michael E. Brown | 28 | 1965–pres. | United States | M. E. Brown; | M. E. Brown | (11714) |\n| Ladislav Brožek | 23 | 1952–pres. | Slovakia | L. Brožek; | L. Brozek | — |\n| Jim Bruton | 2 | n.a. | United States | J. Bruton; James Bruton, disc: MPC and MPC, Src | J. Bruton | — |\n| Dan Bruton | 5 | 1967–pres. | United States | W. D. Bruton; (bio-fr) | W. D. Bruton | — |\n| Jacobus Albertus Bruwer | 4 | 1915–pres. | South Africa | J. A. Bruwer; (bio-it) | J. A. Bruwer | (1811) |\n| Emil Buchar | 1 | 1901–1979 | Czechoslovakia | E. Buchar; (bio-it) | E. Buchar | (3141) |\n| Marc W. Buie | 905 | 1958–pres. | United States | M. W. Buie; | M. W. Buie | (7553) |\n| Christian Buil | 5 | n.a. | France | C. Buil; amateur, (bio-fr) | C. Buil | (6820) |\n| Geoffrey Burks | 1 | n.a. | United States | G. Burks; | G. Burks | — |\n| Matthew R. Burleigh | 1 | n.a. | United States | M. R. Burleigh; | M. R. Burleigh | — |\n| Bella A. Burnasheva | 13 | 1944–pres. | Russia | B. A. Burnasheva; | B. A. Burnasheva | (4427) |\n| Robert Burnham Jr. | 1 | 1931–1993 | United States | R. Burnham; | R. Burnham | (3467) |\n| Joseph A. Burns | 1 | 1941–pres. | United States | J. A. Burns; | J. A. Burns | (2708) |\n| Schelte J. Bus | 1683 | 1956–pres. | United States | S. J. Bus; | S. J. Bus | (3254) |\n| Matthias Busch | 13 | 1968–pres. | Germany | M. Busch; amateur Src and Src | M. Busch | (7687) |\n| Philippe Buttani | 1 | 1966–pres. | France | P. Buttani; amateur, (bio-fr) | P. Buttani | (18167) |\n| Luca Buzzi | 7 | 1982–pres. | Italy | L. Buzzi; amateur, (bio-it) | L. Buzzi | (6517) |\n| Rodolfo Calanca | 1 | n.a. | Italy | R. Calanca; (bio-it) | R. Calanca | — |\n| Michael P. Candy | 3 | 1928–1994 | United Kingdom | M. P. Candy; (bio-it) | M. P. Candy | (3015) |\n| Albino Carbognani | 1 | n.a. | Italy | A. Carbognani; | A. Carbognani | — |\n| Luigi Carnera | 16 | 1875–1962 | Italy | L. Carnera; | L. Carnera | (39653) |\n| Don W. Carona | 1 | n.a. | United States | D. W. Carona; | D. W. Carona | — |\n| Alfredo Caronia | 4 | n.a. | Italy | A. Caronia; (bio-it) | A. Caronia | — |\n| Rafael Carrasco Garrorena | 1 | 1902–1981 | Spain | R. Carrasco; (bio-it), unrelated to 4171 | R. Carrasco | — |\n| Uri Carsenty | 1 | 1949–pres. | Israel | U. Carsenty; (bio-fr) | U. Carsenty | (13333) |\n| Claudio Casacci | 8 | 1958–pres. | Italy | C. Casacci; | C. Casacci | (4814) |\n| James Len Casady | 3 | n.a. | United States | L. Casady; | L. Casady | — |\n| Ferrán Casarramona | 2 | n.a. | Spain | F. Casarramona; (bio-it) | F. Casarramona | — |\n| Ricard Casas (astronomer) | 2 | n.a. | Spain | R. Casas; (bio-it) | R. Casas | — |\n| Flavio Castellani | 6 | n.a. | Italy | F. Castellani; (bio-it) | F. Castellani | — |\n| Vincenzo Silvano Casulli | 194 | 1944–pres. | Italy | V. S. Casulli; amateur | V. S. Casulli | (7132) |\n| Gabriele Cattani | 18 | n.a. | Italy | G. Cattani; | G. Cattani | — |\n| Cyril Cavadore | 4 | 1969–pres. | France | C. Cavadore; (bio-it) | C. Cavadore | (9811) |\n| Marco Cavagna | 19 | 1958–2005 | Italy | M. Cavagna; amateur | M. Cavagna | (10149) |\n| G. Cavalletti | 1 | n.a. | Italy | G. Cavalletti; | G. Cavalletti | — |\n| Anthony J. Cecce | 18 | n.a. | United States | A. J. Cecce; (bio-fr) | A. J. Cecce | — |\n| Vasco Cecchini | 2 | 1932–pres. | Italy | V. Cecchini; amateur, (bio-it) | V. Cecchini | (13798) |\n| Edvardas Černis | 1 | n.a. | Lithuania | E. Černis; | E. Cernis | — |\n| Kazimieras Černis | 118 | 1958–pres. | Lithuania | K. Černis; | K. Cernis | — |\n| Vincenzo Cerulli | 1 | 1859–1927 | Italy | V. Cerulli; disc: MPC | V. Cerulli | (31028) |\n| Carlos Ulrrico Cesco | 19 | 19XX–1987 | Argentina | C. U. Cesco; | C. U. Cesco | (1571) |\n| Mario R. Cesco | 6 | n.a. | Argentina | M. R. Cesco; son of C. U. Cesco, (bio-it) | M. R. Cesco | — |\n| Brian C. Chaboyer | 1 | n.a. | United States | B. Chaboyer; IAU | B. Chaboyer | — |\n| Jean Chacornac | 6 | 1823–1873 | France | J. Chacornac; | J. Chacornac | (1622) |\n| Marcus Tristan Chamberlin | 2 | n.a. | United States | M. T. Chamberlin; disc: MPC, unrelated to 9250 | M. T. Chamberlin | — |\n| Zhang Jiaxiang | 1 | 1932–pres. | China | C.-H. Chang; | C.-H. Chang | (4760) |\n| Man-Ti Chang | 5 | n.a. | China | M.-T. Chang; | M.-T. Chang | — |\n| Zhāng Yùzhé | 1 | 1902–1986 | China | Y. C. Chang; | Y. C. Chang | (2051) |\n| Auguste Charlois | 99 | 1864–1910 | France | A. Charlois; | A. Charlois | (1510) |\n| Robin Chassagne | 1 | 1962–pres. | France | R. Chassagne; (bio-it) | R. Chassagne | (15037) |\n| Robert Chemin | 1 | n.a. | France | R. Chemin; (bio-it) | R. Chemin | (3913) |\n| Jun Chen | 10 | n.a. | United States China | J. Chen; | J. Chen | — |\n| Tao Chen (astronomer) | 3 | 1980–pres. | China | T. Chen; disc: MPC, (bio-it) | T. Chen | (19873) |\n| Lyudmila Chernykh | 267 | 1935–2017 | Russia Soviet Union | L. I. Chernykh; Ludmila I. Chernykh | L. I. Chernykh | (2325) |\n| Nikolai Chernykh | 537 | 1931–2004 | Russia Soviet Union | N. S. Chernykh; Nikolai Stepanovich Chernykh | N. S. Chernykh | (2325) |\n| Dennis K. Chesney | 38 | n.a. | United States | D. K. Chesney; | D. K. Chesney | — |\n| Dmitry Chestnov | 18 | n.a. | Russia | D. Chestnov; Dmitrij Nikolaevič Čestnov | D. Chestnov; D. N. Chestnov | — |\n| Eugene Chiang | 1 | 1973–pres. | United States | E. Chiang; (bio-it) | E. Chiang | — |\n| Paolo Chiavenna | 15 | n.a. | Italy | P. Chiavenna; | P. Chiavenna | — |\n| Jack B. Child | 13 | 1951–pres. | United States | J. B. Child; (bio-fr) | J. B. Child | (4580) |\n| K.-J. Choo | 1 | n.a. | South Korea | K.-J. Choo; | K.-J. Choo | — |\n| Per Rex Christensen | 1 | n.a. | Denmark | P. R. Christensen; (bio-it) | P. R. Christensen | — |\n| Bernard Christophe | 86 | n.a. | France | B. Christophe; amateur, (bio-fr) | B. Christophe | — |\n| Joseph Churms | 2 | 1926–1994 | South Africa | J. Churms; disc: MPC and MPC, (bio-it) | J. Churms | — |\n| Jacqueline Ciffréo | 1 | n.a. | France | J. Ciffréo; disc: 108P/Ciffréo; (fr) | J. Ciffreo | — |\n| James L. Clem | 1 | n.a. | United States | J. L. Clem; CV | J. L. Clem | — |\n| Roy Clingan | 60 | 1950–pres. | United States | R. Clingan; amateur, (bio-it) | R. Clingan | (33747) |\n| Edwin Foster Coddington | 3 | 1870–1950 | United States | E. F. Coddington; | E. F. Coddington | — |\n| S. Cofré | 11 | n.a. | Chile | S. Cofré; | S. Cofre | — |\n| Jérôme Eugène Coggia | 5 | 1849–1919 | France | J. Coggia; | J. Coggia | — |\n| Seth M. Cohen | 1 | n.a. | United States | S. Cohen; unrelated to MPC | S. Cohen | — |\n| Robert Francis Coker | 4 | n.a. | United States | R. Coker; (bio-it) | R. Coker | — |\n| François Colas | 1 | 1959–pres. | France | F. Colas; (bio-it) | F. Colas | (9553) |\n| Simon Collander-Brown | 2 | n.a. | United Kingdom | S. Collander-Brown; disc: MPC, Src | S. Collander-Brown | — |\n| Matthew Collier (astronomer) | 2 | n.a. | United States | M. Collier; disc: MPC, unrelated to MPC, (bio-fr) | M. Collier | — |\n| Michael Collins (astronomer) | 50 | n.a. | United States | M. Collins; Myke Collins, unrelated to MPC, (bio-fr) | M. Collins | — |\n| Ermes Colombini | 4 | 1956–pres. | Italy | E. Colombini; amateur, mentioned: MPC | E. Colombini | (7030) |\n| Enrico Colzani | 1 | n.a. | Italy | E. Colzani; amateur, (bio-it) | E. Colzani | — |\n| Josep Comas i Solà | 11 | 1868–1937 | Spain | J. Comas i Solà; | J. Comas Sola | (1102), (1655) |\n| Paul G. Comba | 685 | 1926–2017 | Italy United States | P. G. Comba; amateur | P. G. Comba | (7636) |\n| Martin Connors | 1 | 1954–pres. | Canada | M. Connors; | M. Connors | (13700) |\n| Walter R. Cooney Jr. | 47 | 1962–pres. | United States | W. R. Cooney Jr.; amateur | W. R. Cooney Jr. | (35365) |\n| Pablo Cottenot | 1 | n.a. | France | P. Cottenot; disc: MPC | P. Cottenot | — |\n| Fernand Courty | 2 | 1862–1921 | France | F. Courty; disc: MPC and MPC | F. Courty | — |\n| Philip Herbert Cowell | 1 | 1870–1949 | United Kingdom | P. H. Cowell; | P. H. Cowell | (1898) |\n| Greg Crawford | 3 | n.a. | Australia | G. Crawford; at Bagnall Beach Observatory, unrelated to 7327 | G. Crawford | — |\n| Lucy D. Crespo da Silva | 1 | 1978–2000 | United States | L. Crespo da Silva; Lucy d'Escoffier Crespo da Silva, (bio-it) | L. Crespo da Silva | (96747) |\n| Kiyoshi Kurosu | 2 | 1965–pres. | Japan | K. Cross; disc: MPC and MPC, (bio-it) | K. Cross | — |\n| Alex Cruz (astronomer) | 2 | n.a. | United States | A. Cruz; amateur, disc: MPC and MPC, unrelated to 21502, (bio-it) | A. Cruz | — |\n| Balázs Csák | 2 | 1979–pres. | Hungary | B. Csák; disc: MPC and MPC, (bio-it) | B. Csak | — |\n| Steve Cullen | 1 | n.a. | United States | S. Cullen; LightBuckets | S. Cullen | — |\n| Leland E. Cunningham | 4 | 1904–1989 | United States | L. E. Cunningham; Leland Erskin Cunningham | L. E. Cunningham | (1754) |\n| Heber Doust Curtis | 1 | 1872–1942 | United States | H. D. Curtis; unrelated to 3621 | H. D. Curtis | — |\n| Karl F. J. Cwach | 1 | n.a. | Australia | K. F. J. Cwach; amateur, (bio-it) | K. F. J. Cwach | — |\n| Germano D'Abramo | 3 | 1973–pres. | Italy | G. D'Abramo; | G. D'Abramo | (16154) |\n| Heinrich Louis d'Arrest | 1 | 1822–1875 | Germany | H. d'Arrest; disc: MPC | H. d'Arrest | (9133) |\n| Ivano Dal Prete | 1 | n.a. | Italy | I. Dal Prete; amateur, (bio-it) | I. Dal Prete | — |\n| Nichole M. Danzl | 6 | n.a. | United States | N. Danzl; (bio-it) | N. Danzl | (10720) |\n| E.-M. David | 1 | n.a. | United States | E.-M. David; | E.-M. David | — |\n| Donald R. Davis | 1 | n.a. | United States | D. Davis; | D. Davis | (3638) |\n| Richard G. Davis | 4 | n.a. | United States | R. G. Davis; (bio-fr) | R. G. Davis | — |\n| Matt Dawson (astronomer) | 6 | 1959–pres. | Luxembourg | M. Dawson; amateur, Src | M. Dawson | (13750) |\n| Leo Anton Karl de Ball | 1 | 1853–1916 | Germany Austria | K. de Ball; disc: MPC | K. de Ball | — |\n| Peter De Cat | 18 | n.a. | Belgium | P. De Cat; (bio-it) | P. De Cat | — |\n| Annibale de Gasparis | 9 | 1819–1892 | Italy | A. de Gasparis; | A. de Gasparis | (4279) |\n| David R. De Graff | 2 | n.a. | United States | D. R. De Graff; disc: MPC and MPC, (bio-it) | D. R. DeGraff | — |\n| Miguel de Pascual Martínez | 1 | n.a. | Spain | M. de Pascual; disc: MPC, (bio-it) | M. de Pascual | — |\n| José De Queiroz | 3 | 1954–pres. | Switzerland | J. De Queiroz; amateur | J. De Queiroz | — |\n| Charles P. de Saint-Aignan | 12 | 1977–pres. | France United States | C. P. de Saint-Aignan; | C. P. de Saint-Aignan | (5995) |\n| Giovanni de Sanctis | 42 | 1949–pres. | Italy | G. DeSanctis; | G. De Sanctis | (3268) |\n| James A. DeYoung | 1 | n.a. | United States | J. DeYoung; USNO-astronomer,Src (bio-it) | J. DeYoung | — |\n| Henri Debehogne | 741 | 1928–2007 | Belgium | H. Debehogne; | H. Debehogne | (2359) |\n| Catherine E. Delahodde | 1 | 1974–pres. | France | C. E. Delahodde; | C. E. Delahodde | (15008) |\n| Joseph A. Dellinger | 77 | 1961–pres. | United States | J. Dellinger; amateur, (bio-it) | J. Dellinger | (78392) |\n| Eugène Joseph Delporte | 66 | 1882–1955 | Belgium | E. Delporte; | E. Delporte | (1274) |\n| Audrey C. Delsanti | 2 | 1976–pres. | France | A. C. Delsanti; disc: MPC and MPC. Src | A. C. Delsanti; A. Dalsanti | — |\n| Christophe Demeautis | 9 | n.a. | France | C. Demeautis; amateur, (bio-fr) | C. Demeautis | (14141) |\n| Alíz Derekas | 3 | 1977–pres. | Hungary | A. Derekas; (bio-it) | A. Derekas | — |\n| Alexander Nikolaevich Deutsch | 1 | 1901–1986 | Soviet Union Moldova | A. Deutsch; Aleksandr Nikolaevič Dejč, disc: MPC | A. Deutsch | — |\n| Harlan Devore | 1 | n.a. | United States | H. Devore; (bio-it) | H. Devore | — |\n| Dennis di Cicco | 60 | 1950–pres. | United States | D. di Cicco; | D. di Cicco | (3841) |\n| Aldo Di Clemente | 1 | 1948–pres. | Italy | A. Di Clemente; amateur | A. Di Clemente | (91214) |\n| Andrea Di Paola | 11 | 1970–pres. | Italy | A. Di Paola; | A. Di Paola | (27130) |\n| Mario Di Sora | 5 | 1961–pres. | Italy | M. Di Sora; amateur, (bio-it) | M. Di Sora; M. DiSora | (21999) |\n| Wilhelm Dieckvoß | 2 | 1908–1982 | Germany | W. Dieckvoß; disc: MPC and MPC, (bio-de) | W. Dieckvoss | (1706) |\n| Elizabeth R. Dillon | 1 | n.a. | United States | E. R. Dillon; amateur, (bio-it) | E. R. Dillon | (78393) |\n| William G. Dillon | 53 | 1957–pres. | United States | W. G. Dillon; (bio-it) | W. G. Dillon | (78393) |\n| Alessandro Dimai | 1 | 1962–pres. | Italy | A. Dimai; amateur, (bio-it) | A. Dimai | (25276) |\n| David S. Dixon | 25 | 1947–pres. | United States | D. S. Dixon; amateur, at Jornada Observatory (715), (bio-it) | D. S. Dixon | (51741) |\n| Petar Đurković | 2 | 1908–1981 | Serbia | P. Đurković; see DMP | P. Djurkovic | — |\n| Jerzy Dobrzycki | 1 | 1927–2004 | Poland | J. Dobrzycki; disc: MPC, (bio-it) | J. Dobrzycki | — |\n| Fabio Dolfi | 3 | 1966–pres. | Italy | F. Dolfi; amateur | F. Dolfi | (26177) |\n| Sauro Donati | 22 | 1959–pres. | Italy | S. Donati; amateur, (bio-it) | S. Donati | (69977) |\n| Alain Doressoundiram | 1 | 1968–pres. | France | A. Doressoundiram; (bio-fr) | A. Doressoundiram | (7456) |\n| François Dossin | 5 | 1927–1998 | Belgium | F. Dossin; (bio-fr) | F. Dossin | — |\n| Luiz Duczmal | 2 | n.a. | Brazil | L. Duczmal; Luiz Henrique Duczmal, disc: MPC and MPC, (bio-it) | L. Duczmal | — |\n| Raymond Smith Dugan | 16 | 1878–1940 | United States | R. S. Dugan; | R. S. Dugan | (2772) |\n| R. Scott Dunbar | 10 | n.a. | United States | R. S. Dunbar; Roy Scott Dunbar, (bio-it) | R. S. Dunbar; S. Dunbar | (3718) |\n| A. Dunn | 1 | n.a. | United States | A. Dunn; inferred, unrelated to MPC | A. Dunn | — |\n| Philippe Dupouy | 2 | 1952–pres. | France | P. Dupouy; amateur, (bio-it) | P. Dupouy | (214485) |\n| Douglas Tybor Durig | 49 | 1961–pres. | United States | D. T. Durig; (bio-it) | D. T. Durig | — |\n| Chris F. Durman | 1 | n.a. | United Kingdom | C. F. Durman; (bio-it), discovery with Bev M. Ewen-Smith | C. F. Durman | — |\n| Marino Dusić | 2 | n.a. | Croatia | M. Dusić; disc: MPC and MPC, (bio-de) | M. Dusic | — |\n| Ron Dyvig | 16 | n.a. | United States | R. Dyvig; (bio-it) | R. Dyvig | — |\n| Max Eastman (astronomer) | 9 | n.a. | United States | M. Eastman; amateur, (735), Src | M. Eastman | — |\n| J. Edmonds | 1 | n.a. | United States | J. Edmonds; inferred | J. Edmonds | — |\n| Ilgmārs Eglītis | 13 | 1951–pres. | Lithuania | I. Eglītis; (bio-fr) | I. Eglitis | (320153) |\n| Norbert Ehring | 5 | 1937–pres. | Germany | N. Ehring; amateur, (bio-de), | N. Ehring | — |\n| Leonid Elenin | 15 | 1981–pres. | Russia | L. Elenin; amateur | L. Elenin | — |\n| James L. Elliot | 1 | 1943–2011 | United States | J. L. Elliot; | J. L. Elliot | (3193) |\n| Eric Walter Elst | 3868 | 1936–pres. | Belgium | E. W. Elst; | E. W. Elst | (3936) |\n| Gary P. Emerson (astronomer) | 1 | n.a. | United States | G. Emerson; (bio-it), unrelated to 8225 | G. Emerson | — |\n| Mark Emmerich | 2 | 1967–pres. | Germany | M. Emmerich; amateur, Guidestar (A17), disc: MPC and MPC with Sven Melchert | M. Emmerich | — |\n| Kin Endate | 624 | 1960–pres. | Japan | K. Endate; amateur | K. Endate | (4282) |\n| Emil Ernst | 1 | 1889–1942 | Germany | E. Ernst; (bio-de) | E. Ernst | — |\n| Gilbert A. Esquerdo | 2 | 1976–pres. | United States | G. A. Esquerdo; disc: MPC and MPC | G. A. Esquerdo | (14026) |\n| N. Wyn Evans | 1 | n.a. | United Kingdom | W. Evans; Src, unrelated to 3032 | W. Evans | — |\n| Bev M. Ewen-Smith | 1 | n.a. | United Kingdom | B. M. Ewen-Smith; (bio-it), co-discovery with Chris F. Durman | B. M. Ewen-Smith | — |\n| Giancarlo Fagioli | 21 | 1940–pres. | Italy | G. Fagioli; amateur, (bio-it) | G. Fagioli | (27959) |\n| Norman Falla | 7 | n.a | United Kingdom | N. Falla; amateur, (bio-it), Src | N. Falla | — |\n| Tony L. Farnham | 3 | 1964–pres. | United States | T. L. Farnham; disc: MPC, MPC and MPC | T. L. Farnham | (16946) |\n| K. L. Faul | 1 | n.a. | United States | K. L. Faul; inferred | K. L. Faul | — |\n| Gina Fedon | 3 | n.a. | United States Italy | G. Fedon; (bio-it) | G. Fedon | — |\n| James Ferguson (American astronomer) | 3 | 1797–1867 | United States | J. Ferguson; USNO-astronomer,Src | J. Ferguson | (1745) |\n| M. Ferrando | 7 | n.a. | Spain | M. Ferrando; co-discoverer with R. Ferrando | M. Ferrando | — |\n| Rafael Ferrando | 198 | 1966–pres. | Spain | R. Ferrando; | R. Ferrando | (161545) |\n| Walter Ferreri | 15 | 1948–pres. | Italy | W. Ferreri; | W. Ferreri | (3308) |\n| Mario A. Ferrero | 2 | 1904–1965 | Italy | M. Ferrero; disc: MPC and MPC, (bio-it) | M. Ferrero | (7684) |\n| Ignacio Ramón Ferrín Vázquez | 12 | 1943–pres. | Venezuela | I. R. Ferrín; (bio-it) | I. R. Ferrin; I. Ferrin | — |\n| Martin Fiedler | 5 | 1978–pres. | Germany | M. Fiedler; amateur, (bio-de) | M. Fiedler | — |\n| Greg Fisch | 1 | n.a. | United States | G. Fisch; (bio-it) | G. Fisch | — |\n| Alan Fitzsimmons | 15 | n.a. | United Kingdom | A. Fitzsimmons; (bio-it), Src | A. Fitzsimmons | (4985) |\n| Hans Jørn Fogh Olsen | 4 | 1943–pres. | Denmark | H. J. Fogh Olsen; (bio-it) | H. J. Fogh Olsen | (5323) |\n| Sergio Foglia | 2 | 1972–pres. | Italy | S. Foglia; amateur, disc: MPC and MPC, related: (197P/LINEAR-it) | S. Foglia | (13147) |\n| Wilhelm Julius Foerster | 1 | 1832–1921 | Germany | W. Förster; Wilhelm Foerster, MPC-typo: Forster | W. Forster | (6771) |\n| Giuseppe Forti | 49 | 1939–2007 | Italy | G. Forti; Beppe Forti, at Arcetri Observatory | G. Forti | (6876) |\n| Filip Fratev | 23 | n.a. | Bulgaria | F. Fratev; founder (A79) | F. Fratev | — |\n| Richard Fredrick | 1 | 1953–pres. | United States | R. Fredrick; amateur | R. Fredrick | (41943) |\n| T. F. Fric | 1 | n.a. | United States | T. F. Fric; inferred, co-discovery with R. J. Gilbrech | T. F. Fric | — |\n| Royal Harwood Frost | 1 | 1879–1950 | United States | R. H. Frost; disc: MPC | R. H. Frost | — |\n| Hiroshi Fujii | 2 | n.a. | Japan | H. Fujii; wrong person? | H. Fujii | — |\n| Tetsuya Fujii | 22 | 1960–pres. | Japan | T. Fujii; amateur | T. Fujii | (4343) |\n| Yasuhide Fujita | 3 | 1961–pres. | Japan | Y. Fujita; amateur, Kuma Kogen Astronomical Observatory | Y. Fujita | (11974) |\n| Hideo Fukushima | 2 | 1953–pres. | Japan | H. Fukushima; (bio-it) | H. Fukushima | (6345) |\n| Gábor Fűrész | 1 | 1978–pres. | Hungary | G. Fűrész; (bio-it) | G. Furesz | — |\n| Toshimasa Furuta | 82 | n.a. | Japan | T. Furuta; | T. Furuta | — |\n| Fumihiko Futaba | 2 | n.a. | Japan | F. Futaba; inferred; disc: MPC and MPC | F. Futaba | — |\n| Marissa Gahran | 2 | n.a. | United States | M. Gahran; disc MPC and MPC (bio-it) | M. Gahran | — |\n| Steven L. Gaiser | 1 | n.a. | United States | S. L. Gaiser; inferred | S. L. Gaiser | — |\n| Štefan Gajdoš | 12 | 1959–pres. | Slovakia | Š. Gajdoš; (bio-it) | S. Gajdos | (213636) |\n| Avishay Gal-Yam | 1 | 1970–pres. | Israel | A. Gal-Yam; (bio-it) | A. Gal-Yam | — |\n| Adrián Galád | 80 | n.a. | Slovakia | A. Galád; | A. Galad | (32008) |\n| Emanuela Galliani | 1 | n.a. | Italy | E. Galliani; amateur, (bio-it) | E. Galliani | — |\n| Paul Garossino | 11 | 1953–pres. | Canada | P. Garossino; Paul G. A. Garossino | P. Garossino | (78394) |\n| Gordon J. Garradd | 31 | 1959–pres. | Australia | G. J. Garradd; Gordon John Garradd, amateur | G. J. Garradd | (5066) |\n| Antonio Garrigós-Sánchez | 1 | 1961–pres. | Spain | A. Garrigós-Sánchez; amateur, (B37), Src and Src | A. Garrigos | — |\n| Romain Gauderon | 4 | n.a. | Switzerland | R. Gauderon; (bio-it), co-discoveries with R. Behrend | R. Gauderon | — |\n| Michael Geffert | 5 | 1953–pres. | Germany | M. Geffert; (bio-de), Src, Src, Src, not to be confused with Martin Geffert | M. Geffert | (12747) |\n| Tom Gehrels | 4656 | 1925–2011 | United States Netherlands | T. Gehrels; | T. Gehrels | (1777) |\n| Oleg Geraščenko | 1 | n.a. | Ukraine | O. Geraščenko; Oleg Gerashchenko, (bio-it) | O. Gerashchenko | — |\n| Vladimir Gerke | 1 | n.a. | Russia | V. Gerke; amateur, Src | V. Gerke | — |\n| Herta Gessner | 1 | n.a. | Germany | H. Gessner; (bio-it) | H. Gessner | — |\n| Pierangelo Ghezzi | 18 | n.a. | Italy | P. Ghezzi; amateur, (bio-it) | P. Ghezzi | — |\n| Alex R. Gibbs | 1 | 1967–pres. | United States | A. R. Gibbs; with Catalina Sky Survey, discoverer of comets, disc: MPC, (bio-it) | A. R. Gibbs | (14220) |\n| James B. Gibson (astronomer) | 27 | n.a. | United States | J. Gibson; (bio-it) | J. Gibson | (2742) |\n| Henry L. Giclas | 17 | 1910–2007 | United States | H. L. Giclas; | H. L. Giclas | (1741) |\n| Richard Gierlinger | 38 | 1967–pres. | Austria | R. Gierlinger; amateur at (B21), (bio-it) | R. Gierlinger | (136367) |\n| Richard J. Gilbrech | 1 | n.a. | United States | R. J. Gilbrech; inferred, co-discovery with T. F. Fric | R. J. Gilbrech | — |\n| Alan C. Gilmore | 42 | n.a. | New Zealand | A. C. Gilmore; | A. C. Gilmore | (2537) |\n| Valter Giuliani | 22 | 1960–pres. | Italy | V. Giuliani; (bio-it) | V. Giuliani | — |\n| Brett J. Gladman | 19 | 1966–pres. | Canada | B. Gladman; | B. Gladman | (7638) |\n| Mitch Glaze | 1 | n.a. | United States | M. Glaze; inferred, amateur, at (649) | M. Glaze | — |\n| Arianna E. Gleason | 5 | 1980–pres. | United States | A. Gleason; | A. Gleason | (10639) |\n| Tom Glinos | 15 | 1960–pres. | Canada | T. Glinos; amateur, (bio-it) | T. Glinos | (7124) |\n| Hermann Goldschmidt | 14 | 1802–1866 | Germany France | H. Goldschmidt; amateur | H. Goldschmidt | (1614) |\n| David B. Goldstein (astronomer) | 1 | n.a. | United States | D. B. Goldstein; unrelated to MPC, (bio-it) | D. B. Goldstein | — |\n| Josep Juliá Gómez Donet | 1 | n.a. | Spain | J. J. Gomez; (bio-it) | J. J. Gomez | (90140) |\n| François Gonnessiat | 2 | 1856–1934 | France | F. Gonnessiat; | F. Gonnessiat | (1177) |\n| Luis E. González | 2 | n.a. | Chile | L. E. González; Luis Eduardo González, disc: MPC, MPC, and C/1981 M1, Img, (bio-it) | L. E. Gonzalez | — |\n| Vittorio Goretti | 32 | 1939–2016 | Italy | V. Goretti; Src | V. Goretti | (7801) |\n| Paul Götz | 20 | 1883–1962 | Germany | P. Götz; Max Wolf's assistant | P. Gotz | (2278) |\n| Andrew Graham (astronomer) | 1 | 1815–1908 | Republic of Ireland | A. Graham; disc: MPC | A. Graham | — |\n| Albert D. Grauer | 4 | 1942–pres. | United States | A. D. Grauer; (bio-it) | A. D. Grauer | (18871) |\n| Tommy Grav | 4 | 1973–pres. | Norway | T. Grav; (bio-de) | T. Grav | (12309) |\n| Mauro Graziani | 2 | n.a. | Italy | M. Graziani; amateur, disc: MPC and MPC, co-discoverer w/ F. Tozzi, (bio-it) | M. Graziani | — |\n| Robert Greimel | 1 | n.a. | Austria | R. Greimel; inferred, Src | R. Greimel | — |\n| Dave Grennan | 2 | n.a. | Republic of Ireland | D. Grennan; disc: MPC, HP, chng Dave to David Grennan | D. Grennan | — |\n| Markus Griesser (astronomer) | 10 | 1949–pres. | Switzerland | M. Griesser; amateur, Eschenberg Observatory, (bio-de) | M. Griesser | (11547) |\n| Ian P. Griffin | 26 | 1958–pres. | United Kingdom | I. P. Griffin; (bio-de) | I. P. Griffin | — |\n| A. Grigsby | 2 | n.a. | United States | A. Grigsby; inferred, disc: MPC and MPC | A. Grigsby | — |\n| John Gross (astronomer) | 7 | 1959–pres. | United States | J. Gross; amateur | J. Gross | (33800) |\n| Arie William Grossman | 1 | n.a. | United States | A. Grossman; unrelated to MPC, (bio-it) | A. Grossman | — |\n| Gavril Grueff | 1 | n.a. | Italy | G. Grueff; (bio-it) | G. Grueff | — |\n| C. Gualdoni | 1 | n.a. | Italy | C. Gualdoni; | C. Gualdoni | — |\n| Joan Guarro i Fló | 5 | n.a. | Spain Catalonia | J. Guarro i Fló; (bio-it) | J. Guarro | — |\n| Daria Guidetti | 2 | n.a. | Italy | D. Guidetti; | D. Guidetti | — |\n| Ernesto Guido | 6 | 1977–pres. | Italy | E. Guido; | E. Guido | (120361) |\n| Amanda Sickafoose Gulbis | 2 | n.a. | United States | A. Gulbis; disc: MPC (parents) and MPC | A. Gulbis | — |\n| Cynthia Gustava | 3 | n.a. | United States | C. Gustava; (bio-it) | C. Gustava | — |\n| Knut Anton Walter Gyllenberg | 1 | 1886–1952 | Sweden | K. Gyllenberg; (bio-it) | K. Gyllenberg | — |\n| Bernhard Häusler | 1 | 1958–pres. | Germany | B. Häusler; amateur, Src | B. Haeusler | — |\n| Olivier R. Hainaut | 2 | 1966–pres. | Belgium | O. R. Hainaut; | O. R. Hainaut | (14972) |\n| Mark Hammergren | 2 | 1964–pres. | United States | M. Hammergren; (bio-it) | M. Hammergren | (7917) |\n| Terry Handley | 7 | 1952–2015 | United States | T. Handley; amateur | T. Handley | (16695) |\n| A. T. Hansen | 1 | n.a. | Denmark | A. T. Hansen; Src | A. T. Hansen | — |\n| Leif Hansen (astronomer) | 1 | n.a. | Denmark | L. Hansen; (bio-it) | L. Hansen | — |\n| M. W. Hansen | 1 | n.a. | Norway | M. W. Hansen; inferred | M. W. Hansen | — |\n| Karl Ludwig Harding | 1 | 1765–1843 | Germany | K. Harding; disc: MPC | K. Harding | (2003) |\n| Eugene A. Harlan | 2 | 1921–2014 | United States | E. A. Harlan; (bio-it) | E. A. Harlan | — |\n| Malcolm Hartley | 3 | 1947–pres. | United Kingdom Australia | M. Hartley; (bio-fr) | M. Hartley | (4768) |\n| Johannes Franz Hartmann | 3 | 1865–1936 | Germany | J. Hartmann; unrelated to MPC | J. Hartmann | — |\n| Takashi Hasegawa | 1 | n.a. | Japan | T. Hasegawa; unrelated to MPC | T. Hasegawa | — |\n| Shuji Hayakawa | 41 | 1958–pres. | Japan | S. Hayakawa; Syuji Hayakawa, (bio-it) | S. Hayakawa | (4647) |\n| David Healy (astronomer) | 216 | 1936–2011 | United States | D. Healy; | D. Healy | (66479) |\n| Zsuzsanna Heiner | 14 | 1949–pres. | Hungary | Z. Heiner; (bio-it) | Z. Heiner | — |\n| Joseph Helffrich | 13 | 1890–1971 | Germany | J. Helffrich; | J. Helffrich | (2290) |\n| Eleanor F. Helin | 903 | 1932–2009 | United States | E. F. Helin; | E. F. Helin | (3267) |\n| Stephan Hellmich | 1 | n.a. | Germany | S. Hellmich; DLR–Asteroids and Comets, Src, Img | S. Hellmich | — |\n| Karl Ludwig Hencke | 2 | 1793–1866 | Germany | K. L. Hencke; | K. L. Hencke | (2005) |\n| Arne Henden | 1 | 1950–pres. | United States | A. Henden; | A. Henden | (33529) |\n| Prosper-Mathieu Henry | 7 | 1849–1903 | France | P. M. Henry; | P. M. Henry | — |\n| Paul-Pierre Henry | 7 | 1848–1905 | France | P. P. Henry; | P. P. Henry | — |\n| David R. Herald | 3 | n.a. | Australia | D. Herald; amateur | D. Herald | (3696) |\n| Carl W. Hergenrother | 32 | 1973–pres. | United States | C. W. Hergenrother; | C. W. Hergenrother | (3099) |\n| Kenneth E. Herkenhoff | 2 | n.a. | United States | K. Herkenhoff; (bio-it) | K. Herkenhoff | — |\n| Ejnar Hertzsprung | 2 | 1873–1967 | Denmark | E. Hertzsprung; | E. Hertzsprung | (1693) |\n| Merrill Hess | 2 | 1955–pres. | United States | M. Hess; amateur | M. Hess | (162158) |\n| David Higgins (astronomer) | 1 | 1961–pres. | Australia | D. Higgins; amateur, disc: MPC | D. Higgins | (33750) |\n| Richard E. Hill | 7 | 1949–pres. | United States | R. Hill; Richard Erik Hill, Richard Rik Hill, (bio-it), Src | R. Hill | (118945) |\n| John Russell Hind | 10 | 1823–1895 | United Kingdom | J. R. Hind; | J. R. Hind | (1897) |\n| Tsutomu Hioki | 56 | n.a. | Japan | T. Hioki; (bio-it) | T. Hioki | (5072) |\n| Masanori Hirasawa | 52 | n.a. | Japan | M. Hirasawa; | M. Hirasawa | �� |\n| Joe Hobart | 36 | 1944–pres. | United States | J. Hobart; chng to Joseph R. Hobart | J. Hobart | (4225) |\n| Sebastian F. Hönig | 567 | 1977–pres. | Germany | S. F. Hönig; (bio-it), Src | S. F. Hoenig | (51983) |\n| Cuno Hoffmeister | 5 | 1892–1968 | Germany | C. Hoffmeister; | C. Hoffmeister | (1726), (4183) |\n| William Holliday (astronomer) | 1 | n.a. | United States | W. Holliday; inferred | W. Holliday | — |\n| Matthew J. Holman | 11 | 1967–pres. | United States | M. J. Holman; | M. J. Holman | (3666) |\n| Robert Holmes (astronomer) | 15 | 1956–pres. | United States | R. Holmes; Robert E. Holmes Jr., amateur, Astronomical Research Inst. (H21) Src, (bio-it) | R. Holmes | (5477) |\n| Henry E. Holt | 689 | 1929–pres. | United States | H. E. Holt; | H. E. Holt | (4435) |\n| Paulo R. Holvorcem | 198 | 1967–pres. | Brazil | P. R. Holvorcem; Paulo Holvorcem | P. R. Holvorcem; P. Holvorcem | (13421) |\n| Ulrich Hopp | 1 | n.a. | Germany | U. Hopp; (bio-it) | U. Hopp | — |\n| H. Hori | 3 | n.a. | Japan | H. Hori; disc: MPC, MPC and MPC. | H. Hori | — |\n| Felix Hormuth | 81 | 1975–pres. | Germany | F. Hormuth; | F. Hormuth | (10660) |\n| Kamil Hornoch | 1 | 1972–pres. | Czech Republic | K. Hornoch; amateur | K. Hornoch | (14124) |\n| Irwin K. Horowitz | 1 | n.a. | United States | I. Horowitz; (bio-it) | I. Horowitz | — |\n| Tara Houlden | 1 | n.a. | United States | T. Houlden; with Emily Ross | T. Houlden | — |\n| Léo Houziaux | 3 | 1932–pres. | Belgium | L. Houziaux; (bio-fr) | L. Houziaux | (24945) |\n| Meredith Howard | 1 | n.a. | United States | M. Howard; inferred, unrelated to MPC | M. Howard | — |\n| Ellen Suzanne Howell | 1 | 1961–pres. | United States | E. Howell Bus; wife of S. J. Bus, (bio-it); unrelated to MPC | E. Howell Bus | — |\n| Xiangyao Hsiao | 13 | n.a. | Taiwan | X. Y. Hsiao; disc: MPC; grandfather 349785 | X. Y. Hsiao; H.-Y. Hsiao | — |\n| Edwin Hubble | 1 | 1889–1953 | United States | E. Hubble; | E. Hubble | (2069) |\n| John Huchra | 1 | 1948–2010 | United States | J. Huchra; | J. Huchra | (4656) |\n| Gary Hug | 298 | n.a. | United States | G. Hug; amateur | G. Hug | — |\n| Joseph Hunaerts | 2 | 1912–1979 | Belgium | J. Hunaerts; Joseph J. Hunaerts, disc: MPC and MPC, (bio-fr) | J. Hunaerts | — |\n| Kiichirō Furukawa | 92 | 1929–2016 | Japan | K. Furukawa; MPC-typo: Hurukawa | K. Hurukawa | (3425) |\n| Dieter Husar | 1 | 1947–pres. | Germany | D. Husar; (bio-it) | D. Husar | (211343) |\n| Robert Hutsebaut | 10 | 1941–pres. | Belgium | R. Hutsebaut; amateur, (bio-it) | R. Hutsebaut | (117572) |\n| Giampiero Iatteri | 1 | 1941–2004 | Italy | G. Iatteri; amateur, (bio-it) | G. Iatteri | (29561) |\n| Yasukazu Ikari | 20 | n.a. | Japan | Y. Ikari; (bio-it) | Y. Ikari | — |\n| Kustaa Aadolf Inkeri | 1 | 1908–1997 | Finland | K. Inkeri; (bio-it), unrelated to MPC | K. Inkeri | — |\n| Shigeru Inoda | 17 | 1955–2008 | Japan | S. Inoda; amateur, (bio-de) | S. Inoda | (5484) |\n| Masaru Inoue (astronomer) | 12 | n.a. | Japan | M. Inoue; unrelated to 6637, (bio-it) | M. Inoue | — |\n| Sergei I. Ipatov | 8 | 1952–pres. | Russia | S. I. Ipatov; Sergij Ivanovič Ipatov, Sergueï Ivanovitch Ipatov, (bio-it) | S. I. Ipatov; S. Ipatov | (14360) |\n| Michael J. Irwin | 8 | n.a. | United Kingdom | M. J. Irwin; unrelated to 3959, (bio-fr) | M. J. Irwin | — |\n| Koichi Itagaki | 3 | 1947–pres. | Japan | K. Itagaki; amateur, (bio-it) | K. Itagaki | (14551) |\n| Kazuyoshi Itō | 1 | n.a. | Japan | K. Itō; | K. Ito | — |\n| Miguel Itzigsohn | 15 | 18XX–1978 | Argentina | M. Itzigsohn; (bio-es) | M. Itzigsohn | (1596) |\n| Nikolaj Ivanov | 3 | n.a. | Russia | N. Ivanov; unrelated to MPC, (bio-it) | N. Ivanov | — |\n| Violeta G. Ivanova | 14 | n.a. | Bulgaria | V. G. Ivanova; | V. G. Ivanova; V. Ivanova | (4365) |\n| Jurij Mykolajovyč Ivaščenko | 2 | 1961–pres. | Ukraine | Y. Ivaščenko; Yuri Ivaščenko, disc: MPC, (bio-it) | Y. Ivashchenko | — |\n| Masayuki Iwamoto | 6 | 1954–pres. | Japan | M. Iwamoto; | M. Iwamoto | (4951) |\n| Shun-ei Izumikawa | 2 | n.a. | Japan | S. Izumikawa; | S. Izumikawa | — |\n| Gerhard Jackisch | 1 | n.a. | Germany | G. Jackisch; (bio-it) | G. Jackisch | — |\n| Cyril Jackson (astronomer) | 72 | 1903–1988 | South Africa United Kingdom | C. Jackson; | C. Jackson | (2193) |\n| Cristóvão Jacques (astronomer) | 6 | n.a. | Brazil | C. Jacques; (bio-it) | C. Jacques | — |\n| Jost Jahn | 1 | 1959–pres. | Germany | J. Jahn; amateur, discovery of (471926) aka 2013 KN6 at (C95) SATINO Remote Obs.; Src; (bio-it) | J. Jahn | (10340) |\n| Quentin Jamieson | 3 | n.a. | United States | Q. Jamieson; | Q. Jamieson | — |\n| Hamilton M. Jeffers | 1 | 1893–1976 | United States | H. M. Jeffers; Hamilton Moore Jeffers | H. M. Jeffers | (1934) |\n| Peter Jekabsons | 2 | 1943–1990 | Australia | P. Jekabsons; amateur, (bio-it) | P. Jekabsons | (3188) |\n| Benjamin Jekhowsky | 12 | 1881–1975 | Russia France | B. Jekhovsky; | B. Jekhovsky | (1606) |\n| Kåre S. Jensen | 1 | n.a. | Denmark | K. S. Jensen; (bio-it) | K. S. Jensen | — |\n| Poul Jensen (astronomer) | 98 | n.a. | Denmark | P. Jensen; at Brorfelde Observatory | P. Jensen | (5900) |\n| Young-Beom Jeon | 43 | n.a. | South Korea | Y.-B. Jeon; | Y.-B. Jeon | — |\n| David C. Jewitt | 48 | 1958–pres. | United Kingdom | D. C. Jewitt; | D. C. Jewitt; D. J. Jewitt | (6434) |\n| Zhang-Wei Jin | 1 | n.a. | China | Z.-W. Jin; Jin Zhangwei, inferred, (bio-it) | Z.-W. Jin | — |\n| Ernest Leonard Johnson | 18 | 18xx–1977 | South Africa | E. L. Johnson; | E. L. Johnson | — |\n| Michael L. Johnson | 2 | n.a. | United States | M. L. Johnson; disc: MPC and MPC, (bio-it) | M. L. Johnson | — |\n| Gilbert R. Jones | 5 | n.a. | United States | G. R. Jones; inferred, disc: MPC | G. R. Jones | — |\n| Richard E. Jones | 2 | n.a. | United States | R. E. Jones; disc: MPC and MPC, (bio-it) | R. E. Jones | — |\n| Amy B. Jordan (astronomer) | 1 | n.a. | United States | A. B. Jordan; | A. B. Jordan | — |\n| Charles W. Juels | 475 | 1944–2009 | United States | C. W. Juels; amateur | C. W. Juels | (20135) |\n| Mario Jurić | 125 | 1979–pres. | Croatia | M. Jurić; | M. Juric | — |\n| Anlaug Amanda Kaas | 1 | n.a. | Norway | A. A. Kaas; | A. A. Kaas | — |\n| Tetsuo Kagawa | 115 | 1969–pres. | Japan | T. Kagawa; at Gekko Observatory | T. Kagawa | (6665) |\n| Franz Kaiser | 21 | 1891–1962 | Germany | F. Kaiser; Heidelberg astronomer | F. Kaiser | (3183) |\n| Watari Kakei | 3 | 1947–pres. | Japan | W. Kakei; (bio-fr) | W. Kakei | — |\n| Dušan Kalmančok | 7 | 1945–pres. | Slovakia | D. Kalmančok; | D. Kalmancok | (29824) |\n| Lars Kamél | 2 | 1960–pres. | Sweden | L. Kamél; disc: MPC and MPC | L. Kamel | (4254) |\n| Karl Walter Kamper | 3 | 1941–1998 | United States | K. W. Kamper; (bio-it) | K. W. Kamper | — |\n| Kiyotaka Kanai | 1 | 1951–pres. | Japan | K. Kanai; amateur | K. Kanai | (26168) |\n| Ethan Kandler | 3 | n.a. | United States | E. Kandler; (bio-it) | E. Kandler | — |\n| Jens Kandler | 25 | 1973–pres. | Germany | J. Kandler; (bio-de) | J. Kandler; J. Kander | (8861) |\n| Hiroshi Kaneda | 705 | 1953–pres. | Japan | H. Kaneda; orbit computer | H. Kaneda | (4677) |\n| Lyudmila Karachkina | 130 | 1948–pres. | Russia | L. G. Karachkina; | L. G. Karachkina | (8019) |\n| Stefan Karge | 52 | 1963–pres. | Germany | S. Karge; amateur | S. Karge | (378917) |\n| Ádám Kárpáti | 2 | n.a. | Hungary | Á. Kárpáti; disc: MPC and MPC, unrelated to MPC | A. Karpati | — |\n| Galina Ričardovna Kastel' | 9 | n.a. | Russia Soviet Union | G. R. Kastel'; ITA astronomer, (bio-it) | G. R. Kastel' | (3982) |\n| John J. Kavelaars | 7 | 1966–pres. | Canada | J. J. Kavelaars; | J. J. Kavelaars | (154660) |\n| Kōyō Kawanishi | 13 | 1959–pres. | Japan | K. Kawanishi; | K. Kawanishi | (5591) |\n| Nobuhiro Kawasato | 105 | n.a. | Japan | N. Kawasato; | N. Kawasato | (4910) |\n| James Edward Keeler | 2 | 1857–1900 | United States | J. E. Keeler; | J. E. Keeler | (2261) |\n| János Kelemen | 2 | n.a. | Hungary | J. Kelemen; disc: MPC and MPC, Src, Src | J. Kelemen | — |\n| Susan D. Kern | 8 | 1977–pres. | United States | S. D. Kern; Susan D. Benecchi (née Kern), at Space Telescope Science Institute, (bio-it) | S. D. Kern | (21458) |\n| James W. Kessel | 26 | n.a. | United States | J. W. Kessel; | J. W. Kessel | — |\n| B. Khafizov | 1 | n.a. | Uzbekistan | B. Khafizov; | B. Khafizov | — |\n| Pamela M. Kilmartin | 41 | n.a. | New Zealand | P. M. Kilmartin; | P. M. Kilmartin | (3907) |\n| Seung-Lee Kim | 1 | n.a. | South Korea | S.-L. Kim; inferred | S.-L. Kim | |\n| Randolph L. Kirk | 1 | n.a. | United States | R. Kirk; (bio-it) | R. Kirk | |\n| Karsten Kirsch | 3 | n.a. | Germany | K. Kirsch; co-disc: MPC, MPC and MPC, (bio-it) | K. Kirsch | — |\n| László L. Kiss | 50 | 1972–pres. | Hungary | L. Kiss; (bio-it) | L. Kiss | (113202) |\n| Minoru Kizawa | 12 | 1947–pres. | Japan | M. Kizawa; | M. Kizawa | — |\n| Marcel Klein | 2 | 1984–pres. | Germany | M. Klein; amateur, disc: MPC and MPC, Src | M. Klein | — |\n| Arnold Richard Klemola | 16 | 1931–pres. | United States | A. R. Klemola; (bio-de) | A. R. Klemola | (1723) |\n| Jan T. Kleyna | 6 | n.a. | United Kingdom | J. Kleyna; (bio-it) | J. Kleyna | — |\n| Rainer Kling | 78 | 1952–pres. | Germany | R. Kling; amateur, (bio-de) | R. Kling | (185639) |\n| Alain Klotz | 7 | 1947–pres. | France | A. Klotz; amateur, (bio-fr) | A. Klotz | (10222) |\n| Mary Ellen Knewston | 1 | n.a. | United States | M. Knewtson; (vs. Knewston), inferred, amateur | M. Knewtson | — |\n| Zoran Knežević (astronomer) | 1 | 1949–pres. | Serbia | Z. Knežević; | Z. Knezevic | (3900) |\n| André Knöfel | 15 | 1963–pres. | Germany | A. Knöfel; amateur, (bio-de) | A. Knofel | (16438) |\n| Viktor Knorre | 4 | 1840–1919 | Russia Germany | V. Knorre; Victor Karlovich Knorre | V. Knorre | (14339) |\n| Jurō Kobayashi | 2 | 1949–pres. | Japan | J. Kobayashi; amateur, (bio-it) | J. Kobayashi | (6022) |\n| Takao Kobayashi | 2479 | 1961–pres. | Japan | T. Kobayashi; | T. Kobayashi | (3500) |\n| Michal Kočer | 9 | n.a. | Czech Republic | M. Kočer; disc: MPC, (bio-it) | M. Kocer | — |\n| Bernd Koch | 3 | 1955–pres. | Germany | B. Koch; amateur, (bio-it) | B. Koch | (191494) |\n| Peter Kocher | 93 | 1939–pres. | Switzerland | P. Kocher; amateur, (bio-fr), HP | P. Kocher | (115950) |\n| Michael König | 2 | 1966–pres. | Germany | M. König; amateur, disc: MPC, Src | M. Koenig | — |\n| Luboš Kohoutek | 76 | 1935–pres. | Czech Republic | L. Kohoutek; | L. Kohoutek | (1850) |\n| Masahiro Koishikawa | 19 | 1952–pres. | Japan | M. Koishikawa; | M. Koishikawa | (6097) |\n| Takuo Kojima | 45 | 1955–pres. | Japan | T. Kojima; amateur, (bio-it) | T. Kojima | (3644) |\n| Ales Kolář | 2 | n.a. | Czech Republic | A. Kolář; disc: MPC and MPC, (differs from Jan Kolář MPC, MPC) | A. Kolar | |\n| Eberhard Koldewey | 2 | 1937–pres. | Germany | E. Koldewey; disc: MPC and MPC, (bio-it) | E. Koldewey | (11352) |\n| Peter Kolény | 35 | n.a. | Slovakia | P. Kolény; | P. Koleny | — |\n| Arthur König (astronomer) | 1 | 1895–1969 | Germany | A. König; son of Arthur Peter König, (bio-it) | A. Konig | (3815) |\n| August Kopff | 68 | 1882–1960 | Germany | A. Kopff; | A. Kopff | (1631) |\n| Korado Korlević | 1295 | 1958–pres. | Croatia | K. Korlević; amateur | K. Korlevic | (10201) |\n| Leonard Kornoš | 37 | 1956–pres. | Slovakia | L. Kornoš; (bio-it) | L. Kornos | (23899) |\n| Stanislav Alexandrovich Korotkiy | 2 | 1983–pres. | Russia | S. Korotkiy; amateur, (bio-it) | S. Korotkiy | (231649) |\n| Hiroki Kosai | 93 | 1933–pres. | Japan | H. Kosai; at Tokyo Astronomical Observatory | H. Kosai | (3370) |\n| Georgiy U. Koval'chuk | 2 | n.a. | Ukraine | G. Koval'chuk; disc: MPC and MPC | G. Kovalchuk | — |\n| Charles T. Kowal | 22 | 1940–2011 | United States | C. T. Kowal; Charles Thomas Kowal | C. T. Kowal | — |\n| Richard Kowalski | 1 | 1963–pres. | United States | R. A. Kowalski; disc: MPC | R. A. Kowalski | (7392) |\n| Rainer Kracht | 3 | 1948–pres. | Germany | R. Kracht; amateur, (bio-it) | R. Kracht | (234761) |\n| Thilo Kranz | 1 | n.a. | Germany | T. Kranz; Src | T. Kranz | |\n| Rainer Kresken | 13 | n.a | Germany | R. Kresken; disc: MPC | R. Kresken | — |\n| Mike Kretlow | 8 | 1967–pres. | Germany | M. Kretlow; (bio-it) | M. Kretlow | (9938) |\n| Charles J. Krieger | 1 | 1898–pres. | United States | C. J. Krieger; Charles John Krieger, (bio-it) | C. J. Krieger | — |\n| A. Kriete | 1 | n.a. | Czech Republic | A. Kriete; inferred | A. Kriete | — |\n| Timur Valer'evič Krjačko | 60 | 1970–pres. | Russia | T. V. Kryachko; amateur, (bio-it) | T. V. Kryachko; T. Kryachko | (269589) |\n| Marcin Kubiak | 1 | n.a. | Poland | M. Kubiak; | M. Kubiak | — |\n| Jeremy Martin Kubica | 16 | n.a. | United States | J. Kubica; disc: MPC | J. Kubica | — |\n| Kazuo Kubokawa | 1 | 1903–1943 | Japan | K. Kubokawa; | K. Kubokawa | (6140) |\n| François Kugel | 358 | 1959–pres. | France | F. Kugel; Observatoire Chante-Perdrix (A77) | F. Kugel | (120375) |\n| Zoltán Kuli | 37 | n.a. | Hungary | Z. Kuli; inferred, Src | Z. Kuli | — |\n| György Kulin | 21 | 1905–1989 | Hungary | G. Kulin; | G. Kulin | (3019) |\n| Pratibha Kumar | 3 | n.a. | India | P. Kumar; wife of V. Reddy, disc: MPC, MPC and MPC, Src, Src | P. Kumar | |\n| Nikolaj Efimovič Kuročkin | 2 | 1923–2003 | Russia | N. E. Kuročkin; disc: MPC and MPC, (bio-it) | N. E. Kurochkin | — |\n| Hirohisa Kurosaki | 1 | 1970–pres. | Japan | H. Kurosaki; | H. Kurosaki | (23938) |\n| Stefan Kürti | 7 | 1960–pres. | Slovakia | S. Kürti; amateur, Src | S. Kurti | (132798) |\n| Lothar Kurtze | 1 | 1972–pres. | Germany | L. Kurtze; amateur, | L. Kurtze | |\n| Reiki Kushida | 1 | n.a. | Japan | R. Kushida; amateur, wife of Y. Kushida, disc: MPC | R. Kushida | (5239) |\n| Yoshio Kushida | 56 | 1957–pres. | Japan | Y. Kushida; amateur, husband of R. Kushida | Y. Kushida | (5605) |\n| Michał Kusiak | 8 | 1986–pres. | Poland | M. Kusiak; Src | M. Kusiak | (376574) |\n| Peter Kušnirák | 291 | 1974–pres. | Slovakia | P. Kušnirák; | P. Kusnirak | (17260) |\n| Jaroslav Květoň | 2 | n.a. | Czech Republic Slovakia | J. Květoň; disc: MPC, (bio-it) | J. Kveton | |\n| Andrzej Kwiek | 1 | n.a. | Poland | A. Kwiek; disc: MPC, (bio-fr) | A. Kwiek | |\n| Peter Kyrylenko | 1 | 1987–pres. | Ukraine | P. Kyrylenko; at Andrushivka Astronomical Observatory | P. Kyrylenko | (281459) |\n| Juan Lacruz | 60 | n.a. | Spain | J. Lacruz; (bio-it) | J. Lacruz | — |\n| Claes-Ingvar Lagerkvist | 146 | 1944–pres. | Sweden | C.-I. Lagerkvist; at Uppsala Astronomical Observatory | C.-I. Lagerkvist; C. Lagerkvist | (2875) |\n| Joanny-Philippe Lagrula | 1 | 1870–1941 | France | J. Lagrula; disc: MPC | J. Lagrula | (1412) |\n| Luciano Lai | 13 | 1948–pres. | Italy | L. Lai; (bio-it) | L. Lai | (11100) |\n| Carl Otto Lampland | 1 | 1873–1951 | United States | C. O. Lampland; disc: MPC | C. O. Lampland | (1767) |\n| Werner Landgraf | 7 | 1959–pres. | Germany | W. Landgraf; | W. Landgraf | (3132) |\n| Jeffrey A. Larsen | 2 | 1967–pres. | United States | J. A. Larsen; (bio-fr) | J. A. Larsen | (7657) |\n| Stephen M. Larson | 2 | n.a. | United States | S. M. Larson; (bio-fr) | S. M. Larson | (3690) |\n| Tod Richard Lauer | 1 | 1957–pres. | United States | T. Lauer; | T. Lauer | (3135) |\n| Vygandas Laugalys | 1 | n.a. | Lithuania | V. Laugalys; (bio-it) | V. Laugalys | |\n| Marguerite Laugier | 21 | 1896–1976 | France | M. Laugier; | M. Laugier | (1597) |\n| Joseph Jean Pierre Laurent | 1 | 18XX–1900 | France | J. J. P. Laurent; \"J.J.P.\" vs \"J.\", disc: MPC, (bio-fr) | J. J. P. Laurent | (162) |\n| Stephen P. Laurie | 50 | n.a. | United Kingdom | S. P. Laurie; amateur | S. P. Laurie | — |\n| Kenneth J. Lawrence | 32 | 1964–pres. | United States | K. J. Lawrence; of Palomar Planet-Crossing Asteroid Survey | K. J. Lawrence | (4969) |\n| Susannah Lazar | 1 | 1982–pres. | United States | S. Lazar; amateur, (bio-it) | S. Lazar | |\n| Charles le Morvan | 1 | 1865–1933 | France | C. le Morvan; disc: MPC, (bio-fr) | C. le Morvan | |\n| Carlos Leal (astronomer) | 9 | n.a. | Venezuela | C. Leal; unrelated to 19426, (bio-fr) | C. Leal | — |\n| Byung-Chol Lee | 37 | n.a. | South Korea | B.-C. Lee; (bio-it) | B.-C. Lee | — |\n| L. Lee | 1 | n.a. | United States | L. Lee; inferred | L. Lee | |\n| Tae-Hyung Lee | 1 | 1964–pres. | South Korea | T. H. Lee; (bio-it) | T. H. Lee | |\n| Jonathan P. Leech | 1 | n.a. | United States | J. P. Leech; inferred | J. P. Leech | |\n| Gerhard Lehmann | 21 | 1960–pres. | Germany | G. Lehmann; amateur, (bio-de) | G. Lehmann | (8853) |\n| Gregory J. Leonard | 11 | n.a. | United States | G. J. Leonard; (bio-it) | G. J. Leonard | — |\n| Otto Lesser | 1 | 1830–1887 | Germany | O. Lesser; disc: MPC | O. Lesser | |\n| Ken Levin | 5 | n.a. | United States | K. Levin; amateur | K. Levin | (99862) |\n| Stephen Levine (astronomer) | 1 | 1965–pres. | United States | S. Levine; Stephen E. Levine | S. Levine | (19123) |\n| David H. Levy | 63 | 1948–pres. | Canada | D. H. Levy; | D. H. Levy; D. Levy | (3673) |\n| Wendee Levy | 4 | 1948–pres. | Canada | W. Levy; Wendee Esther Wallach Levy, wife of D. H. Levy, (bio-it) | W. Levy | (6485) |\n| William Liller | 2 | 1927–pres. | United States | W. Liller; | W. Liller | (3222) |\n| Lin Qisheng (astronomer) | 65 | 1964–pres. | Taiwan | C.-S. Lin; a.k.a. Lin Chi-Sheng, (bio-it) | C.-S. Lin; C. S. Lin | (175451) |\n| Hung-Chin Lin | 79 | n.a. | Taiwan | H.-C. Lin; (林宏欽), | H.-C. Lin | — |\n| Robert Linderholm | 26 | 1933–2013 | United States | R. Linderholm; | R. Linderholm | — |\n| Karl Lohnert | 4 | 1885–1944 | Germany | K. Lohnert; Karl Julius Lohnert, (bio-it) | K. Lohnert | (11434) |\n| A. Lokalov | 1 | n.a. | Russia | A. Lokalov; disc: MPC | A. Lokalov | |\n| Vladimir O. Lokot' | 2 | n.a. | Ukraine | V. Lokot'; disc: MPC and MPC | V. Lokot | |\n| Álvaro López-García | 12 | 1941–pres. | Spain | Á. López-G.; (bio-it) | A. Lopez | (4657) |\n| Ángel López Jiménez | 58 | 1955–pres. | Spain | Á. López J.; (bio-it) | A. Lopez | — |\n| Jean-Marie Lopez | 4 | n.a. | France | J.-M. Lopez; amateur | J.-M. Lopez; J. M. Lopez | — |\n| Joachim Lorenz | 5 | 1955–pres. | Germany | J. Lorenz; amateur, disc: MPC, | J. Lorenz | |\n| Wilhelm Lorenz (astronomer) | 4 | 1886–1918 | Germany | W. Lorenz; Karl Wilhelm Lorenz, (bio-it) | W. Lorenz | |\n| Miklós Lovas | 2 | 1931–pres. | Hungary | M. Lovas; at Konkoly Observatory, (bio-it) | M. Lovas | (73511) |\n| Andrew Lowe | 507 | 1959–pres. | Canada | A. Lowe; amateur, orbit computer, (bio-it), HP | A. Lowe | (4091) |\n| Percival Lowell | 1 | 1855–1916 | United States | P. Lowell; disc: MPC | P. Lowell | |\n| Paul Luckas | 2 | 1962–pres. | Australia | P. Luckas; amateur, (bio-it) | P. Luckas | (131186) |\n| Christian B. Luginbuhl | 3 | 1955–pres. | United States | C. B. Luginbuhl; (bio-it) | C. B. Luginbuhl | (7393) |\n| Kjell Lundgren | 2 | 1950–pres. | Sweden | K. Lundgren; at Uppsala Astronomical Observatory | K. Lundgren | (11934) |\n| Federica Luppi | 1 | n.a. | Italy | F. Luppi; | F. Luppi | — |\n| Robert Luther | 24 | 1822–1900 | Germany | R. Luther; | R. Luther | (1303) |\n| Jane Luu | 37 | 1963–pres. | United States | J. X. Luu; | J. X. Luu | (5430) |\n| Lucas M. Macri | 1 | 1972–pres. | United States Argentina | L. Macri; (bio-it) | L. Macri | |\n| Hiroshi Maeno | 7 | n.a. | Japan | H. Maeno; (bio-it) | H. Maeno | — |\n| John Mahony (astronomer) | 9 | n.a. | United States | J. Mahony; amateur, Src | J. Mahony | — |\n| Marie Mahrová | 4 | 1947–pres. | Czech Republic Slovakia | M. Mahrová; (bio-it) | M. Mahrova | |\n| Renu Malhotra | 1 | 1961–pres. | India United States | R. Malhotra; | R. Malhotra | (6698) |\n| Franco Mallia | 15 | 1961–pres. | Italy | F. Mallia; amateur, (bio-it) | F. Mallia | (21685) |\n| Francesco Manca | 26 | 1966–pres. | Italy | F. Manca; amateur | F. Manca | (15460) |\n| Jan Karel Mánek | 1 | 1961–pres. | Czech Republic | J. Manek; amateur | J. Manek | (22697) |\n| Brian G. W. Manning | 19 | 1926–2011 | United Kingdom | B. G. W. Manning; amateur | B. G. W. Manning | (3698) |\n| Massimiliano Mannucci | 1 | 1970–pres. | Italy | M. Mannucci; amateur, unrelated to MPC; (bio-it) | M. Mannucci | — |\n| José Manteca | 13 | n.a. | Spain | J. Manteca; Pepe Manteca, (bio-it) | J. Manteca | — |\n| Ilan Manulis | 1 | 1947–pres. | Israel | I. Manulis; inferred | I. Manulis | (13615) |\n| Frédéric Maréchal | 2 | 1952–pres. | France | F. Maréchal; amateur, (bio-it) | F. Marechal | |\n| Wladimiro Marinello | 3 | n.a. | Italy | W. Marinello; amateur, (bio-it) | W. Marinello | (229836) |\n| Mark Scott Marley | 1 | n.a. | United States | M. S. Marley; (bio-it) | M. S. Marley | |\n| Brian G. Marsden | 1 | 1937–2010 | United Kingdom | B. G. Marsden; | B. G. Marsden | (1877) |\n| Albert Marth | 1 | 1828–1897 | Germany | A. Marth; disc: MPC | A. Marth | |\n| Axel Martin | 3 | 1968–pres. | Germany | A. Martin; amateur, (bio-it) | A. Martin | (15924) |\n| Terry Martin (astronomer) | 1 | n.a. | United States | T. Martin; Src | T. Martin | |\n| Carlos T. Martinez | 5 | n.a. | United States | C. T. Martinez; Src | C. T. Martinez | |\n| Gianluca Masi | 26 | 1972–pres. | Italy | G. Masi; discoverer of variable stars | G. Masi | (21795) |\n| Joseph Masiero | 53 | 1982–pres. | United States | J. Masiero; | J. Masiero | (8255) |\n| Egisto Masotti | 3 | 1947–pres. | Italy | E. Masotti; amateur, (bio-it) | E. Masotti | (22401) |\n| Adam Massinger | 7 | 1888–1914 | Germany | A. Massinger; (bio-de) | A. Massinger | (760) |\n| Giuseppe Massone | 1 | n.a. | Italy | G. Massone; inferred | G. Massone | |\n| Mary Alice Mathison | 1 | n.a. | United States | M. A. Mathison; inferred, (bio-it) | M. A. Mathison | |\n| Stanislav Matičič | 2 | n.a. | Slovenia | S. Matičič; inferred | S. Maticic | |\n| Damir Matković | 2 | n.a. | Croatia | D. Matković; (bio-it) | D. Matkovic | |\n| Robert D. Matson | 187 | 1962–pres. | United States | R. Matson; Robert Matson, Rob Matson, (bio-it) | R. Matson | (73491) |\n| Masanori Matsuyama | 19 | 1950–pres. | Japan | M. Matsuyama; amateur, Japanese: 松山正則, (bio-de) | M. Matsuyama | (4844) |\n| Daniel Matter | 5 | 1957–pres. | France | D. Matter; amateur, (bio-it) | D. Matter | (59833) |\n| Alain Maury | 9 | 1958–pres. | France | A. Maury; | A. Maury | (3780) |\n| D. Mayes | 1 | n.a. | United States | D. Mayes; inferred | D. Mayes | |\n| Emiliano Mazzoni | 2 | 1953–pres. | Italy | E. Mazzoni; amateur, (bio-it) | E. Mazzoni | (49469) |\n| Michele Mazzucato | 6 | 1962–pres. | Italy | M. Mazzucato; Michele T. Mazzucato, (bio-it) | M. Mazzucato | (35461) |\n| John V. McClusky | 156 | n.a. | United States | J. V. McClusky; | J. V. McClusky | — |\n| Billy D. McCormack | 1 | n.a. | United States | B. D. McCormack; | B. D. McCormack | |\n| Jennie McCormick | 1 | n.a. | New Zealand | J. McCormick; | J. McCormick | |\n| Alric D. McDermott | 1 | n.a. | United States | A. D. McDermott; | A. D. McDermott | |\n| David McDonald (astronomer) | 2 | 1964–pres. | Republic of Ireland | D. McDonald; Dave McDonald, amateur | D. McDonald | (21782) |\n| Stephen W. McDonald | 1 | n.a. | United States | S. McDonald; | S. McDonald | |\n| James E. McGaha | 6 | 1946–pres. | United States | J. McGaha; amateur, (bio-it) | J. McGaha | (10036) |\n| P. McKenzie | 1 | n.a. | Australia | P. McKenzie; inferred | P. McKenzie | |\n| David McLeish (astronomer) | 1 | n.a. | Argentina | D. McLeish; (bio-it) | D. McLeish | |\n| Robert H. McNaught | 483 | 1956–pres. | United Kingdom Scotland Australia | R. H. McNaught; | R. H. McNaught | (3173) |\n| Jeffrey S. Medkeff | 10 | 1968–2008 | United States | J. Medkeff; | J. Medkeff | (41450) |\n| Karen Jean Meech | 3 | 1959–pres. | United States | K. J. Meech; | K. J. Meech | (4367) |\n| Carol Neese | 1 | 1958–pres. | United States | C. Neese; Carol Lynn Neese, MPC-typo: Meese | C. Meese | (9211) |\n| Sven Melchert | 2 | 1968–pres. | Germany | S. Melchert; amateur, Guidestar (A17), disc: MPC and MPC with Mark Emmerich | S. Melchert | — |\n| Philibert Jacques Melotte | 1 | 1880–1961 | United Kingdom | P. Melotte; disc: MPC | P. Melotte | |\n| J. Dave Mendenhall | 1 | n.a. | United States | J. D. Mendenhall; (bio-it) | J. D. Mendenhall | |\n| Jean-Claude Merlin | 66 | 1954–pres. | France | J.-C. Merlin; (bio-fr) | J.-C. Merlin | (57658) |\n| Szabolcs Mészáros | 5 | 1981–pres. | Hungary | S. Mészáros; (bio-it) | S. Meszaros | |\n| Joel Hastings Metcalf | 41 | 1866–1925 | United States | J. H. Metcalf; | J. H. Metcalf | (726), (792) |\n| Natal'ja Vital'evna Metlova | 1 | n.a. | Russia | N. V. Metlova; (bio-it) | N. V. Metlova | |\n| Michel Meunier | 1 | n.a. | France | M. Meunier; amateur, (bio-it) | M. Meunier | |\n| Erich Meyer | 22 | 1951–pres. | Austria | E. Meyer; amateur | E. Meyer | (7940) |\n| Maik Meyer | 16 | 1970–pres. | Germany | M. Meyer; amateur, (bio-de), Src | M. Meyer | (52005) |\n| J. Michaud | 1 | n.a. | United States | J. Michaud; inferred | J. Michaud | |\n| Marco Micheli | 12 | 1983–pres. | Italy | M. Micheli; ESA/Pan-STARRS1 it:wikinews | M. Micheli | (10277) |\n| René Michelsen | 5 | n.a. | Denmark | R. Michelsen; | R. Michelsen | (10285) |\n| Celina Mikolajczak | 4 | n.a. | United States | C. Mikolajczak; (bio-it) | C. Mikolajczak | |\n| Herman Mikuž | 21 | n.a. | Slovenia | H. Mikuž; (bio-it) | H. Mikuz | — |\n| R. Miles | 1 | n.a. | United States | R. Miles; inferred | R. Miles | |\n| Robert L. Millis | 6 | n.a. | United States | R. Millis; occultation, at Lowell Observatory, (bio-it), (bio-fr) | R. Millis | (2659) |\n| Elia Millosevich | 2 | 1848–1919 | Italy | E. Millosevich; | E. Millosevich | (69961) |\n| Matt Mills (astronomer) | 1 | n.a. | United States | M. Mills; inferred | M. Mills | – |\n| Rudolph Minkowski | 1 | 1895–1976 | United States | R. Minkowski; | R. Minkowski | (11770) |\n| Tetsuyasu Mitani | 1 | 1927–2004 | Japan | T. Mitani; disc: MPC, (bio-it) | T. Mitani | (3289) |\n| Seidai Miyasaka | 4 | 1955–pres. | Japan | S. Miyasaka; | S. Miyasaka | (3555) |\n| Takashi Mizuno (astronomer) | 1 | 1955–pres. | Japan | T. Mizuno; amateur, (bio-it) | T. Mizuno | (6392) |\n| Yoshikane Mizuno | 52 | 1954–pres. | Japan | Y. Mizuno; at Kani Observatory | Y. Mizuno | (4541) |\n| Marko Moilanen | 1 | n.a. | Finland | M. Moilanen; (bio-it) | M. Moilanen | — |\n| Lawrence Alan Molnar | 69 | 1959–pres. | United States | L. A. Molnar; (bio-it) | L. A. Molnar | (8245) |\n| Jean Montanne | 1 | n.a. | France | J. Montanne; (bio-it) | J. Montanne | — |\n| Nico Montigiani | 1 | n.a. | Italy | N. Montigiani; (bio-it) | N. Montigiani | — |\n| Didier Morata | 1 | 1954–pres. | France | D. Morata; amateur, (bio-it) | D. Morata | (14643) |\n| Stéphane Morata | 1 | 1977–pres. | France | S. Morata; amateur, (bio-it) | S. Morata | (14643) |\n| Zdeněk Moravec | 93 | 1968–pres. | Czech Republic | Z. Moravec; | Z. Moravec | — |\n| Hiroshi Mori (astronomer) | 45 | 1958–pres. | Japan | H. Mori; amateur, (bio-it) | H. Mori | (19190) |\n| Nicholas Moskovitz | 1 | 1981–pres. | United States | N. Moskovitz; | N. Moskovitz | (8254) |\n| Patrick M. Motl | 9 | n.a. | United States | P. M. Motl; disc: MPC, (bio-it) | P. M. Motl | — |\n| Stefano Mottola | 6 | n.a. | Italy | S. Mottola; (bio-it) | S. Mottola; S. Motolla | (5388) |\n| Antonín Mrkos | 274 | 1918–1996 | Czech Republic | A. Mrkos; at Kleť Observatory | A. Mrkos | (1832) |\n| Jean Mueller | 13 | 1950–pres. | United States | J. E. Mueller; at Second Palomar Sky Survey | J. E. Mueller | (4031) |\n| Masaru Mukai | 13 | 1949–pres. | Japan | M. Mukai; unrelated to 4750 | M. Mukai | — |\n| Gustavo Muler | 22 | 1967–pres. | Spain Argentina | G. Muler; | G. Muler | (458063) |\n| John-Derral Mulholland | 1 | 1934–2008 | United States | J.-D. Mulholland; (bio-it) | J. D. Mulholland | |\n| Ulisse Munari | 49 | 1960–pres. | Italy | U. Munari; at the Astronomical Observatories of Padua and Asiago | U. Munari | (7599) |\n| J. Muñoz | 1 | n.a. | Spain | J. Muñoz; inferred, (Manteca-it) | J. Munoz | |\n| Osamu Muramatsu | 73 | 1949–pres. | Japan | O. Muramatsu; | O. Muramatsu | (5606) |\n| Juan Carlos Muzzio | 2 | 1946–pres. | Argentina | J. C. Muzzio; at La Plata Institute of Astrophysics, (bio-it) | J. C. Muzzio | (6505) |\n| Atsushi Nakajima (astronomer) | 3 | n.a. | Japan | A. Nakajima; disc: MPC | A. Nakajima | |\n| Akimasa Nakamura | 112 | 1961–pres. | Japan | A. Nakamura; at the Kuma Kogen Astronomical Observatory | A. Nakamura | (10633) |\n| Tsuko Nakamura | 3 | 1943–pres. | Japan | T. Nakamura; (bio-it) | T. Nakamura | (6599) |\n| Akio Nakanishi | 2 | 1964–pres. | Japan | A. Nakanishi; amateur | A. Nakanishi | (8702) |\n| Orlando A. Naranjo | 38 | 1951–pres. | Venezuela | O. A. Naranjo; (bio-it) | O. A. Naranjo | — |\n| Michael Nassir | 1 | n.a. | United States | M. Nassir; | M. Nassir | |\n| Akira Natori | 32 | 1956–pres. | Japan | A. Natori; at Nihondaira Observatory, (bio-it) | A. Natori | (5520) |\n| Edgar Rangel Netto | 8 | n.a. | Brazil | E. R. Netto; at Valongo Observatory, (bio-de) | E. R. Netto | (3175) |\n| Grigory Neujmin | 74 | 1885–1946 | Russia Soviet Union | G. N. Neujmin; | G. N. Neujmin | (1129) |\n| Vitaly Nevsky | 6 | n.a. | Belarus | V. Nevski; Vitalij Nevskij, Vitaliy Nevskiy, amateur, (B42), image, Comet ISON | V. Nevski | — |\n| Phil Nicholson | 1 | n.a. | United States | P. Nicholson; | P. Nicholson | |\n| Seth Barnes Nicholson | 2 | 1891–1963 | United States | S. B. Nicholson; disc: MPC and MPC | S. B. Nicholson | (1831) |\n| Tsuneo Niijima | 32 | 1955–pres. | Japan | T. Niijima; amateur | T. Niijima | (5507) |\n| V. L. Nixon | 1 | n.a. | United States | V. L. Nixon; | V. L. Nixon | |\n| Michael C. Nolan | 1 | 1963–pres. | United States | M. C. Nolan; at Arecibo Observatory, (bio-it) | M. C. Nolan | (9537) |\n| Jaume Nomen | 55 | 1960–pres. | Spain Catalonia | J. Nomen; at Observatorio Astronomico de Mallorca | J. Nomen | (56561) |\n| Toshiro Nomura | 13 | 1954–pres. | Japan | T. Nomura; | T. Nomura | (6559) |\n| Hans Ulrik Nørgaard-Nielsen | 2 | n.a. | Denmark | H. U. Nørgaard-Nielsen; disc: MPC, (bio-it) | H. U. Norgaard-Nielsen | |\n| Artyom Novichonok | 20 | 1982–pres. | Russia | A. Novichonok; Comet ISON, Src | A. Novichonok; A. O. Novichonok | — |\n| Andrew J. Noymer | 7 | 1971–pres. | United States | A. J. Noymer; (bio-it) | A. J. Noymer | (4956) |\n| Donal O'Ceallaigh | 3 | n.a. | Republic of Ireland | D. O'Ceallaigh; Src | D. O'Ceallaigh | — |\n| Erwin Obermair | 7 | 1946–2017 | Austria | E. Obermair; amateur | E. Obermair | (9236) |\n| Eran O. Ofek | 1 | n.a. | Israel | E. O. Ofek; HP | E. O. Ofek | |\n| Warren B. Offutt | 18 | 1928–pres. | United States | W. Offutt; | W. Offutt | (7639) |\n| Youhei Ohba | 3 | n.a. | Japan | Y. Ohba; at ISAS | Y. Ohba | |\n| Okuro Oikawa | 8 | 1896–1980 | Japan | O. Oikawa; | O. Oikawa | (2667) |\n| Gregory Wayne Ojakangas | 2 | n.a. | United States | G. Ojakangas; disc: MPC and MPC, (bio-it) | G. Ojakangas | |\n| Arto Oksanen | 1 | n.a. | Finland | A. Oksanen; amateur | A. Oksanen | — |\n| Tomimaru Okuni | 130 | 1931–pres. | Japan | T. Okuni; amateur | T. Okuni | (7769) |\n| Heinrich Wilhelm Matthias Olbers | 2 | 1758–1840 | Germany | H. W. Olbers; | H. W. Olbers | (1002) |\n| C. Michelle Olmstead | 46 | 1969–pres. | United States | C. M. Olmstead; at Lowell Observatory | C. M. Olmstead | (3287) |\n| Csilla Orgel | 1 | n.a. | Hungary | C. Orgel; inferred | C. Orgel | — |\n| José Luis Ortiz Moreno | 1 | 1967–pres. | Spain | J. L. Ortiz; disc: MPC, unofficial discoverer Haumea | J. L. Ortiz | (4436) |\n| Michel Ory | 202 | 1966–pres. | Switzerland | M. Ory; amateur | M. Ory | (67979) |\n| Yoshiaki Oshima | 61 | 1952–pres. | Japan | Y. Oshima; at Gekko Observatory | Y. Oshima | (5592) |\n| Liisi Oterma | 54 | 1915–2001 | Finland | L. Oterma; at Turku Observatory | L. Oterma | (1529) |\n| Satoru Otomo | 148 | 1957–pres. | Japan | S. Otomo; amateur | S. Otomo | (3911) |\n| Rafael Pacheco | 57 | 1954–pres. | Spain | R. Pacheco; amateur | R. Pacheco | (25001) |\n| Deborah Lynne Padgett | 1 | n.a. | United States | D. Padgett; inferred | D. Padgett | |\n| Johann Palisa | 122 | 1848–1925 | Austria | J. Palisa; | J. Palisa | (914) |\n| Ernesto Palomba | 2 | 1967–pres. | Italy | E. Palomba; disc: MPC and MPC | E. Palomba | (95951) |\n| Amanda Papadimos | 4 | n.a. | Canada | A. Papadimos; inferred | A. Papadimos | |\n| Sensi Pastor | 1 | n.a. | Spain | S. Pastor; La Murta Observatory (J76) | S. Pastor | |\n| Praskov'ja Georgievna Parchomenko | 2 | 1886–1970 | Russia Soviet Union | P. Parchomenko; Praskoviya Georgievna Parchomenko, (bio-it) | P. Parchomenko | (1857) |\n| Yun-Ho Park | 2 | n.a. | South Korea | Y.-H. Park; (bio-it) | Y.-H. Park | |\n| Joel W. Parker | 2 | 1962–pres. | United States | J. W. Parker; at Southwest Research Institute, inferred | J. W. Parker | (13751) |\n| Q. A. Parker | 1 | n.a. | Australia | Q. A. Parker; at Siding Spring | Q. A. Parker | |\n| Alois Paroubek | 1 | n.a. | Czechoslovakia | A. Paroubek; (bio-it) | A. Paroubek | |\n| André Patry | 9 | 1902–1967 | France | A. Patry; at Nice Observatory | A. Patry | (1601) |\n| Thierry Pauwels | 147 | 1957–pres. | Belgium | T. Pauwels; at Uccle Observatory | T. Pauwels | (12761) |\n| Thomas Payer | 4 | 1978–pres. | Germany | T. Payer; amateur, | T. Payer | |\n| Fernando Pedichini | 1 | n.a. | Italy | F. Pedichini; | F. Pedichini | |\n| Jean-Claude Pelle | 10 | 1942–pres. | France | J.-C. Pelle; Jean Claude George Pelle, amateur, (bio-fr) | J. C. Pelle | (84011) |\n| Randy Pepper | 2 | n.a. | United States | R. Pepper; amateur, Fort Bend Astronomy Club, (bio-it) | R. Pepper | |\n| Zenón M. Pereyra | 1 | n.a. | Chile | Z. Pereyra; disc: MPC, (bio-it) | Z. Pereyra | |\n| Henri Joseph Anastase Perrotin | 6 | 1845–1904 | France | J. Perrotin; | J. Perrotin | (1515) |\n| Christian Heinrich Friedrich Peters | 48 | 1813–1890 | Germany United States | C. H. F. Peters; | C. H. F. Peters | (100007) |\n| George Henry Peters | 3 | 1863–1947 | United States | G. H. Peters; USNO-astronomer,Src | G. H. Peters | — |\n| Jean-Marc Petit | 7 | 1961–pres. | France | J.-M. Petit; (bio-fr) | J.-M. Petit; J. Petit | (7740) |\n| Holly Phaneuf | 2 | n.a. | United States | H. Phaneuf; amateur, (bio-it) | H. Phaneuf | |\n| Jeffrey L. Phinney | 4 | 1957–pres. | United States | J. Phinney; disc: MPC, MPC, MPC and MPC | J. Phinney | (46793) |\n| Giuseppe Piazzi | 1 | 1746–1826 | Italy | G. Piazzi; disc: Ceres | G. Piazzi | (1000) |\n| Paolo Pietrapiana | 2 | n.a. | Italy | P. Pietrapriana; amateur, disc: MPC, (bio-it) | P. Pietrapiana | |\n| Michael Pietschnig | 3 | n.a. | Austria | M. Pietschnig; amateur, Src | M. Pietschnig | |\n| Jana Pittichová | 5 | n.a. | Czech Republic | J. Pittichová; inferred | J. Pittichova | |\n| Guido Pizarro (astronomer) | 8 | n.a. | Chile | G. Pizarro; brother of Oscar Pizarro, at La Silla, (bio-it) | G. Pizarro | (4609) |\n| Oscar Pizarro | 1 | n.a. | Chile | O. Pizarro; brother of Guido Pizarro, (bio-it) | O. Pizarro | (4609) |\n| Gianpaolo Pizzetti | 4 | 1961–pres. | Italy | G. P. Pizzetti; amateur, (bio-it) | G. P. Pizzetti; G. Pizzetti | (233559) |\n| John Platt (computer scientist) | 2 | 1963–pres. | United States | J. Platt; | J. Platt | |\n| C. E. Plunkett | 1 | n.a. | United States | C. E. Plunkett; inferred | C. E. Plunkett | |\n| G. A. Plyugin | 7 | 1925–pres. | Russia | G. A. Plyugin; Gurij Antonovič Pljugin, (bio-it) | G. A. Plyugin | — |\n| Regina Podstanická | 1 | 1928–2000 | Slovakia | R. Podstanická; (bio-it) | R. Podstanicka | |\n| Norman Pogson | 8 | 1829–1891 | United Kingdom | N. R. Pogson; Norman Robert Pogson | N. R. Pogson | (1830) |\n| Radosław Poleski | 1 | n.a. | Poland | R. Poleski; | R. Poleski | |\n| David Polishook | 12 | 1976–pres. | Israel | D. Polishook; David L. Polishook, MIT and Tel Aviv University, (bio-it) | D. Polishook | (8464) |\n| Isidre Pòlit | 1 | 1880–1958 | Spain Catalonia | I. Pòlit; Isidre Pòlit i Boixareu, (bio-it) | I. Polit | (1708) |\n| Christian Pollas | 26 | 1947–pres. | France | C. Pollas; at Côte d'Azur Observatory, (bio-fr) | C. Pollas | (4892) |\n| Hejno Iogannović Potter | 1 | 1929–2007 | Russia | H. Potter; Kheino Potter, disc: MPC, (bio-it) | H. Potter | (7320) |\n| Valentino Pozzoli | 3 | n.a. | Italy | V. Pozzoli; inferred | V. Pozzoli | |\n| Alexander Pravda | 52 | n.a. | Slovakia | A. Pravda; (bio-it) | A. Pravda | — |\n| Petr Pravec | 350 | 1967–pres. | Czech Republic | P. Pravec; | P. Pravec | (4790) |\n| Donald P. Pray | 3 | 1949–pres. | United States | D. P. Pray; at Carbuncle Hill Obs.Src and Sugarloaf Obs. Src, (bio-it) | D. P. Pray | (35364) |\n| Milorad B. Protić | 7 | 1911–2001 | Serbia | M. B. Protić; | M. B. Protitch | (22278) |\n| Andrew W. Puckett | 16 | 1977–pres. | United States | A. W. Puckett; Andrew Wayne Puckett | A. W. Puckett | (184011) |\n| Ulisse Quadri | 1 | 1953–pres. | Italy | U. Quadri; amateur, (bio-it) | U. Quadri | (10200) |\n| Herbert Raab | 1 | 1969–pres. | Austria | H. Raab; amateur, Src | H. Raab | (3184) |\n| David L. Rabinowitz | 33 | 1960–pres. | United States | D. L. Rabinowitz; | D. L. Rabinowitz; D. Rabinowitz | (5040) |\n| Petar Radovan | 1 | n.a. | Croatia | P. Radovan; (bio-it) | P. Radovan | |\n| Rajgopalan Rajamohan | 6 | n.a. | India | R. Rajamohan; (bio-it) | R. Rajamohan | |\n| Vishnu Vardhan Reddy | 23 | 1978–pres. | India | V. Reddy; (bio-it) | V. Reddy | (8068) |\n| Karl Wilhelm Reinmuth | 395 | 1892–1979 | Germany | K. Reinmuth; | K. Reinmuth | (1111) |\n| Guy Reiss | 5 | 1904–1964 | France | G. Reiss; at Algiers Observatory and Nice | G. Reiss | (1577) |\n| José Antonio Reyes (astronomer) | 1 | n.a. | Spain | J. A. Reyes; La Murta Observatory (J76) | J. A. Reyes | |\n| Tomáš Rezek (astronomer) | 1 | n.a. | Czech Republic | T. Rezek; inferred | T. Rezek | |\n| Joseph Rheden | 3 | 1873–1946 | Austria | J. Rheden; | J. Rheden | |\n| Hans Rickman | 2 | 1949–pres. | Sweden | H. Rickman; at Uppsala Observatory, (bio-it) | H. Rickman | (3692) |\n| Judit Györgyey Ries | 2 | n.a. | Hungary | J. G. Ries; Src | J. G. Ries | |\n| Wolfgang Ries | 157 | 1968–pres. | Austria | W. Ries; amateur | W. Ries | (266887) |\n| Jim Riffle | 2 | n.a. | Canada | J. Riffle; inferred | J. Riffle | |\n| Fernand Rigaux | 8 | 1905–1962 | Belgium | F. Rigaux; at Uccle Observatory | F. Rigaux | (19911) |\n| Claudine Rinner | 60 | 1965–pres. | France | C. Rinner; amateur, at Ottmarsheim Observatory | C. Rinner | (23999) |\n| Keith Rivich | 5 | n.a. | United States | K. Rivich; amateur, (bio-it) | K. Rivich | |\n| Irving Robbins (astronomer) | 1 | n.a. | United States | I. Robbins; Src and Src | I. Robbins | |\n| Adrienne M. Robbins | 1 | n.a. | United States | A. Robbins; Adrienne Makita Robbins, (bio-it) | A. Robbins | |\n| Larry Robinson (astronomer) | 18 | n.a. | United States | L. Robinson; amateur, at Sunflower Observatory, (bio-it) | L. Robinson | (18873) |\n| Heiner Roclawski | 1 | 1963–pres. | Germany | H. Roclawski; | H. Roclawski | |\n| Greg Rodgers | 1 | n.a. | United States | G. Rodgers; | G. Rodgers | |\n| Tim A. Rodriquez | 1 | n.a. | United States | T. Rodriquez; (bio-it) | T. Rodriquez | |\n| Henry G. Roe | 1 | 1975–pres. | United States | H. G. Roe; (bio-it) | H. G. Roe | (28803) |\n| James M. Roe | 102 | 1943–pres. | United States | J. M. Roe; (bio-it) | J. M. Roe | — |\n| Elizabeth Roemer | 2 | 1929–2016 | United States | E. Roemer; | E. Roemer | (1657) |\n| John E. Rogers | 3 | n.a. | United States | J. E. Rogers; (bio-it) | J. E. Rogers | |\n| Brian P. Roman | 11 | n.a. | United States | B. Roman; | B. Roman | (4575) |\n| Amy E. Rose | 2 | 1987–pres. | United States | A. E. Rose; | A. E. Rose | (175563) |\n| Perry Rose (astronomer) | 4 | 1966–pres. | United States | P. Rose; Perry J. Rose, at Palomar Planet Crossing Asteroid Survey | P. Rose | (9637) |\n| Emily Ross | 1 | n.a. | United States | E. Ross; inferred; with Tara Houlden | E. Ross | — |\n| René Roy (astronomer) | 9 | 1938–pres. | France | R. Roy; amateur, (bio-fr) | R. Roy | (14533) |\n| Eric P. Rubenstein | 1 | n.a. | United States | E. P. Rubenstein; | E. P. Rubenstein | — |\n| A. Rudd | 2 | n.a. | United States | A. Rudd; disc: MPC and MPC | A. Rudd | — |\n| Marian Rudnyk | 3 | n.a. | United States Ukraine | M. Rudnyk; (bio-it) | M. Rudnyk | — |\n| Donald James Rudy | 1 | n.a. | United States | D. Rudy; (bio-it) | D. Rudy | — |\n| Jose Maria Ruiz | 4 | n.a. | Spain | J. M. Ruiz; inferred, disc: MPC | J. M. Ruiz | — |\n| Kenneth S. Russell | 2 | n.a. | Australia | K. S. Russell; (bio-it) | K. S. Russell | (3714) |\n| John Ruthroff | 1 | n.a. | United States | J. Ruthroff; (bio-it) | J. Ruthroff | — |\n| William H. Ryan (astronomer) | 25 | n.a. | United States | W. H. Ryan; inferred | W. H. Ryan | — |\n| John Sachs (astronomer) | 2 | n.a. | United States | J. Sachs; amateur, disc MPC and MPC, Src, Src, unrelated to MPC | J. Sachs | — |\n| Giuseppe A. Sala | 2 | n.a. | Italy | G. A. Sala; disc: MPC and MPC | G. A. Sala | — |\n| Paolo Sala (astronomer) | 3 | 1954–pres. | Italy Germany | P. Sala; amateur, disc: MPC, MPC and MPC, | P. Sala | — |\n| George C. Sallit | 1 | n.a. | United Kingdom | G. Sallit; (bio-it) | G. Sallit | — |\n| Stephen L. Salyards | 1 | n.a. | United States | S. L. Salyards; (bio-it) | S. L. Salyards | — |\n| A. G. Samuel | 1 | n.a. | Argentina | A. G. Samuel; (bio-it) | A. G. Samuel | — |\n| Salvador Sánchez (astronomer) | 3 | n.a. | Spain | S. Sánchez; unrelated to MPC, (bio-it) | S. Sanchez | — |\n| Allan Sandage | 1 | 1926–2010 | United States | A. R. Sandage; | A. R. Sandage | (9963) |\n| Hans-Ullrich Sandig | 1 | 1909–1979 | Germany | H.-U. Sandig; (bio-de) | H.-U. Sandig | — |\n| Robert G. Sandness | 6 | n.a. | United States | R. G. Sandness; amateur, (bio-it) | R. G. Sandness | — |\n| Luigi Sannino | 2 | 1981–pres. | Italy | L. Sannino; amateur, disc: MPC and MPC, (bio-it) | L. Sannino | — |\n| Matteo M. M. Santangelo | 21 | n.a. | Italy | M. M. M. Santangelo; Matteo Santangelo, (bio-it) | M. M. M. Santangelo | — |\n| Krisztián Sárneczky | 373 | 1974–pres. | Hungary | K. Sárneczky; | K. Sarneczky | (10258) |\n| Lenka Kotková | 258 | 1973–pres. | Czech Republic | L. Kotková; Lenka Šarounová (née), at Ondřejov Observatory | L. Sarounova | (10390) |\n| Goro Sasaki | 1 | n.a. | Japan | G. Sasaki; unrelated to MPC, (bio-it) | G. Sasaki | — |\n| Isao Satō | 6 | 1963–pres. | Japan | I. Satō; asteroid occultation, (bio-it) | I. Sato | (6338) |\n| Naoto Satō | 142 | 1953–pres. | Japan | N. Satō; amateur | N. Sato | (6025) |\n| Paul Sava | 1 | n.a. | United States | P. Sava; at Needville | P. Sava | — |\n| Robert D. Schaldach | 1 | n.a. | United States | R. D. Schaldach; (de-wiki) | R. D. Schaldach | — |\n| Alexandre Schaumasse | 2 | 1882–1958 | France | A. Schaumasse; | A. Schaumasse | (1797) |\n| Giovanni Schiaparelli | 1 | 1835–1910 | Italy | G. Schiaparelli; disc: MPC | G. Schiaparelli | (4062) |\n| Christine J. Schiff | 1 | n.a. | New Zealand | C. J. Schiff; amateur, wife of J. L. Schiff, (bio-it) | C. J. Schiff | — |\n| Joel L. Schiff | 1 | n.a. | New Zealand | J. L. Schiff; amateur, husband of C. J. Schiff, unrelated to MPC, (bio-it) | J. L. Schiff | — |\n| Thomas Schildknecht | 3 | n.a. | Switzerland | T. Schildknecht; (bio-it), Src | T. Schildknecht | — |\n| Frank Schiralli Jr. | 1 | n.a. | United States | F. Schiralli Jr.; Src | F. Schiralli Jr. | — |\n| Lutz D. Schmadel | 245 | 1942–2016 | Germany | L. D. Schmadel; ARI-astronomer | L. D. Schmadel; L.D. Schmadel | (2234) |\n| Alfred Schmitt | 4 | 1907–1973 | France | A. Schmitt; at Algiers and Strasbourg observatories | A. Schmitt | (1617) |\n| Hans Scholl (astronomer) | 56 | 1942–pres. | Germany | H. Scholl; ARI-astronomer | H. Scholl | (2959) |\n| Richard Schorr | 2 | 1867–1951 | Germany | R. Schorr; | R. Schorr | (1235) |\n| Joachim Schubart | 2 | 1928–pres. | Germany | J. Schubart; (bio-de), Src | J. Schubart | (1911) |\n| Lipót Schulhof | 1 | 1847–1921 | Hungary | L. Schulhof; | L. Schulhof | (2384) |\n| Hans-Emil Schuster | 25 | 1934–pres. | Germany | H.-E. Schuster; at La Silla | H.-E. Schuster | (2018) |\n| Erwin Schwab | 87 | 1964–pres. | Germany | E. Schwab; amateur | E. Schwab | (185638) |\n| Megan Schwamb | 15 | 1984–pres. | United States | M. E. Schwamb; (bio-fr) | M. E. Schwamb; M. Schwamb | (11814) |\n| Michael B. Schwartz | 26 | 1950–pres. | United States | M. Schwartz; amateur, at Tenagra Observatory, (bio-it) | M. Schwartz | (13820) |\n| Friedrich Karl Arnold Schwassmann | 22 | 1870–1964 | Germany | A. Schwassmann; | A. Schwassmann | (989) |\n| James V. Scotti | 1 | 1960–pres. | United States | J. V. Scotti; at Spacewatch | J. V. Scotti | (3594) |\n| George Mary Searle | 1 | 1839–1918 | United States | G. Searle; disc: MPC | G. Searle | — |\n| William Lawrence Sebok | 2 | n.a. | United States | W. Sebok; disc: MPC and MPC, (bio-it) | W. Sebok | — |\n| Bruce A. Segal | 2 | 1959–pres. | United States | B. A. Segal; amateur, disc: MPC and MPC, (bio-it) | B. A. Segal | (21683) |\n| Sadao Sei | 1 | n.a. | Japan | S. Sei; at Chirorin Observatory (383) | S. Sei | |\n| Tsutomu Seki | 225 | 1930–pres. | Japan | T. Seki; | T. Seki | (3426) |\n| Alexey V. Sergeyev | 1 | n.a. | Uzbekistan | A. Sergeyev; inferred | A. Sergeev | |\n| Carl Sexton | 9 | n.a. | United States | C. Sexton; inferred, amateur | C. Sexton | — |\n| Grigory Shajn | 3 | 1892–1956 | Russia Soviet Union | G. Shajn; | G. Shajn | (1648) |\n| Pelageya Shajn | 19 | 1894–1956 | Russia Soviet Union | P. F. Shajn; | P. F. Shajn | (1190), (1648) |\n| R. Shank | 1 | n.a. | United States | R. Shank; assumed | R. Shank | |\n| Scott S. Sheppard | 19 | 1977–pres. | United States | S. S. Sheppard; | S. S. Sheppard | (17898) |\n| Edwin E. Sheridan | 33 | n.a. | United States | E. E. Sheridan; (bio-it) | E. E. Sheridan; E. Sheridan | — |\n| Jia You Shih | 3 | n.a. | China | C.-Y. Shih; disc: MPC, MPC and MPC | C.-Y. Shih | |\n| Yoshisada Shimizu | 311 | 1943–pres. | Japan | Y. Shimizu; amateur | Y. Shimizu | (7300) |\n| Hitoshi Shiozawa | 29 | n.a. | Japan | H. Shiozawa; amateur, (bio-it) | H. Shiozawa | — |\n| Seiji Shirai (astronomer) | 3 | n.a. | Japan | S. Shirai; MPC, MPC, MPC | S. Shirai | |\n| Vladimir Shkodrov | 7 | 1930–2010 | Bulgaria | V. G. Shkodrov; at the Bulgarian National Observatory | V. G. Shkodrov; V. Shkodrov | (4364) |\n| Carolyn S. Shoemaker | 377 | 1929–pres. | United States | C. S. Shoemaker; | C. S. Shoemaker | (4446) |\n| Eugene M. Shoemaker | 183 | 1928–1997 | United States | E. M. Shoemaker; | E. M. Shoemaker | (2074) |\n| Sergey E. Shurpakov | 1 | 1966–pres. | Belarus | S. Shurpakov; Sergey Eduardovich Shurpakov, amateur | S. Shurpakov | (279274) |\n| Piero Sicoli | 43 | 1954–pres. | Italy | P. Sicoli; amateur, at Sormano Observatory | P. Sicoli | (7866) |\n| Stephen Singer-Brewster | 6 | 1945–pres. | United States | S. Singer-Brewster; at Palomar Planet Crossing Asteroid Survey | S. Singer-Brewster | (10315) |\n| Amanjot Singh | 1 | 1988–pres. | United States | A. Singh; | A. Singh | (175562) |\n| Russell Sipe | 2 | n.a. | United States | R. Sipe; inferred, disc: MPC and MPC | R. Sipe | |\n| Brigitta Sipőcz | 37 | n.a. | Hungary | B. Sipőcz; | B. Sipocz | — |\n| Michael L. Sitko | 1 | n.a. | United States | M. L. Sitko; inferred | M. L. Sitko | |\n| Brian A. Skiff | 60 | n.a. | United States | B. A. Skiff; at Lowell Observatory | B. A. Skiff | (2554) |\n| David R. Skillman | 13 | 1945–pres. | United States | D. R. Skillman; | D. R. Skillman; D. Skillman | (70720) |\n| Jure Skvarč | 7 | 1964–pres. | Slovenia | J. Skvarč; (bio-it) | J. Skvarc | (89818) |\n| Evgenij Fëdorovič Skvorcov | 3 | 1882–1952 | Russia Soviet Union | E. Skvorcov; Evgenij Skvortsov, (bio-it) | E. Skvortsov | (1854) |\n| Tamara Smirnova | 135 | 1935–2001 | Russia | T. M. Smirnova; | T. M. Smirnova | (5540) |\n| Suzanne Smrekar | 1 | n.a. | United States | S. Smrekar; Suzanne Elizabeth Smrekar; (bio-it) | S. Smrekar | |\n| Andrea Soffiantini | 1 | n.a. | Italy | A. Soffiantini; Carezza, Trentino (NASA) | A. Soffiantini | |\n| Patrick Sogorb | 4 | 1971–pres. | France | P. Sogorb; amateur, (bio-fr) | P. Sogorb | |\n| Vladimir Jakovlevič Solov'ëv | 1 | n.a. | Russia | V. Y. Solovyov; (bio-it) | V. Y. Solovyov | |\n| Y. Sorimachi (astronomer) | 2 | n.a. | Japan | Y. Sorimachi; disc: MPC and MPC | Y. Sorimachi | |\n| Giovanni Sostero | 1 | 1964–2012 | Italy | G. Sostero; amateur | G. Sostero | (9878) |\n| Alfredo Sota | 4 | n.a. | Spain | A. Sota; inferred, at Sierra Nevada Observatory (J86) | A. Sota | |\n| Guy Soulié | 2 | 1920–pres. | France | G. Soulié; amateur, (bio-fr) | G. Soulie | (13226) |\n| Timothy B. Spahr | 58 | 1970–pres. | United States | T. B. Spahr; Timothy Bruce Spahr, at Bigelow Sky Survey | T. B. Spahr | (2975) |\n| Stefano Sposetti | 164 | 1958–pres. | Switzerland | S. Sposetti; amateur | S. Sposetti; Stefano Sposetti | (22354) |\n| Tom Stafford (astronomer) | 40 | n.a. | United States | T. Stafford; | T. Stafford | — |\n| Anton Staus | 1 | 1872–1955 | Germany | A. Staus; disc: MPC | A. Staus | |\n| Duncan Steel | 12 | 1955–pres. | United Kingdom Australia | D. I. Steel; | D. I. Steel | (4713) |\n| W. A. Stein | 1 | n.a. | United States | W. A. Stein; inferred | W. A. Stein | |\n| Édouard Stephan | 2 | 1837–1923 | France | É. Stephan; disc: MPC and MPC | E. Stephan | |\n| Peter B. Stetson | 1 | 1952–pres. | Canada | P. B. Stetson; Peter Brailey Stetson, (bio-it) | P. B. Stetson | (255703) |\n| Berton L. Stevens | 55 | 1951–pres. | United States | B. L. Stevens; amateur, Desert Moon Observatory (448), (bio-it) | B. L. Stevens | (38540) |\n| Janet A. Stevens | 1 | n.a. | United States | J. Stevens; amateur, wife of B. L. Stevens, (bio-it) | J. Stevens | |\n| Carlton F. Stewart | 1 | n.a. | United States | C. F. Stewart; (bio-it) | C. F. Stewart | |\n| DeLisle Stewart | 1 | 1870–1941 | United States | D. Stewart; disc: MPC | D. Stewart | |\n| Lacey Stewart | 1 | n.a. | United States | L. Stewart; Src | L. Stewart | |\n| Jürgen Stock (astronomer) | 3 | 1923–pres. | Germany Venezuela | J. Stock; | J. Stock | (4388) |\n| M. Stockmaster | 1 | n.a. | United States | M. Stockmaster; inferred | M. Stockmaster | |\n| Reiner Michael Stoss | 9 | 1975–pres. | Germany | R. M. Stoss; amateur, at Starkenburg Observatory | R. M. Stoss; R. Stoss | (7689) |\n| Luca Strabla | 1 | 1963–pres. | Italy | L. Strabla; Luca Pietro Strabla, amateur, (bio-it) | L. Strabla | (35326) |\n| Louis-Gregory Strolger | 1 | n.a. | United States | L.-G. Strolger; inferred | L.-G. Strolger | |\n| Gyula Strommer | 1 | 1920–1995 | Hungary | G. Strommer; (bio-it) | G. Strommer | |\n| Otto Struve | 2 | 1897–1963 | United States | O. Struve; | O. Struve | (768) |\n| Antonio Stucchi | 1 | n.a. | Italy | A. Stucchi; inferred | A. Stucchi | |\n| Jeffrey Sue | 1 | n.a. | United States | J. Sue; inferred, at RAS Observatory (H06), Src | J. Sue | |\n| Uwe Süßenberger | 4 | n.a. | Germany | U. Süßenberger; | U. Suessenberger | |\n| Matsuo Sugano | 4 | 1939–pres. | Japan | M. Sugano; amateur | M. Sugano | (5872) |\n| Atsushi Sugie | 122 | n.a. | Japan | A. Sugie; at Dynic Astronomical Observatory | A. Sugie | (3957) |\n| Rafael Suvanto | 1 | –1940 | Finland | R. Suvanto; (bio-it) | R. Suvanto | (1927) |\n| Kenzo Suzuki (astronomer) | 42 | 1950–pres. | Japan | K. Suzuki; amateur | K. Suzuki | (5526) |\n| Shōhei Suzuki | 52 | n.a. | Japan | S. Suzuki; | S. Suzuki | — |\n| Steven Roger Swanson | 2 | n.a. | United States | S. R. Swanson; inferred, disc: MPC and MPC | S. R. Swanson | |\n| Frédéric Sy | 2 | 1861–19xx | France | F. Sy; at Algiers and Paris observatories; disc: MPC and MPC | F. Sy | (1714) |\n| Gyula M. Szabó | 7 | 1979–pres. | Hungary | G. Szabó; (bio-fr) | G. Szabo | (113203) |\n| Tamás Szalai (astronomer) | 2 | n.a. | Hungary | T. Szalai; inferred, disc: MPC and MPC | T. Szalai | |\n| Dorottya Szám | 1 | n.a. | Hungary | D. Szám; amateur, (bio-it) | D. Szam | |\n| Attila Szing | 1 | n.a. | Hungary | A. Szing; inferred | A. Szing | |\n| D. Taeymans | 1 | n.a. | Belgium | D. Taeymans; inferred | D. Taeymans | |\n| Laurence G. Taff | 10 | 1947–pres. | United States | L. G. Taff; (bio-fr) | L. G. Taff | — |\n| Ugo Tagliaferri | 2 | n.a. | Italy | U. Tagliaferri; amateur, disc: MPC and MPC, (bio-it) | U. Tagliaferri | |\n| Atsushi Takahashi | 22 | 1965–pres. | Japan | A. Takahashi; amateur, at Kitami Observatory | A. Takahashi | (4842) |\n| Masanori Takeishi | 13 | 1950–pres. | Japan | M. Takeishi; amateur, (bio-de) | M. Takeishi | (7776) |\n| Noéline Teamo | 233 | n.a. | France | N. Teamo; amateur, Hibiscus Observatory (F84) | N. Teamo | — |\n| Wilhelm Tempel | 5 | 1821–1889 | Germany | E. W. Tempel; | E. W. Tempel | (3808) |\n| Luciano Tesi | 191 | 1931–pres. | Italy | L. Tesi; amateur | L. Tesi; L. esi | (15817) |\n| Augusto Testa | 31 | 1950–pres. | Italy | A. Testa; amateur | A. Testa | (11667) |\n| Holger Thiele | 4 | 1878–1946 | Denmark | H. Thiele; son of Thorvald N. Thiele | H. Thiele | (1586) |\n| Bernd Thinius | 2 | 1959–pres. | Germany | B. Thinius; amateur, disc: MPC and MPC, | B. Thinius | |\n| David J. Tholen | 64 | 1955–pres. | United States | D. J. Tholen; | D. J. Tholen; D. C. Tholen | (3255) |\n| Norman G. Thomas | 55 | 1930–pres. | United States | N. G. Thomas; | N. G. Thomas | (2555) |\n| William Thuillot | 1 | 1951–pres. | France | W. Thuillot; inferred | W. Thuillot | (18568) |\n| Dan Tibbets | 2 | n.a. | United States | D. Tibbets; inferred, disc: MPC and MPC | D. Tibbets | |\n| Jana Tichá | 112 | 1965–pres. | Czech Republic | J. Tichá; | J. Ticha | (5757) |\n| Miloš Tichý | 229 | 1966–pres. | Czech Republic | M. Tichý; | M. Tichy | (3337) |\n| Friedrich Tietjen | 1 | 1832–1895 | Germany | F. Tietjen; ARI-astronomer, disc: MPC | F. Tietjen | (2158) |\n| Michael Todd (astronomer) | 3 | n.a. | Australia | M. Todd; inferred | M. Todd | |\n| Clyde Tombaugh | 15 | 1906–1997 | United States | C. W. Tombaugh; | C. W. Tombaugh | (1604) |\n| Maura Tombelli | 196 | 1952–pres. | Italy | M. Tombelli; amateur | M. Tombelli | (9904) |\n| Kōichirō Tomita | 9 | 1925–2006 | Japan | K. Tomita; at the Tokyo Astronomical Observatory | K. Tomita | (2391) |\n| Mario Tonincelli | 5 | n.a. | Italy | M. Tonincelli; inferred | M. Tonincelli | |\n| John L. Tonry | 2 | 1953–pres. | United States | J. L. Tonry; University of Hawaii, disc: MPC and MPC, (bio-de) | J. L. Tonry | (40919) |\n| Carlos Torres (astronomer) | 37 | 1929–2011 | Chile | C. Torres; Carlos Torres R. (not Carlos Guillermo Torres), Src | C. Torres | (1769) |\n| Y. Torres | 1 | n.a. | United States | Y. Torres; inferred | Y. Torres | |\n| Juraj Tóth | 16 | 1975–pres. | Slovakia | J. Tóth; at Comenius University | J. Toth | (24976) |\n| Suzanne W. Tourtellotte | 15 | 1945–2013 | United States | S. Tourtellotte; inferred | S. Tourtellotte | — |\n| Fabrizio Tozzi | 153 | 1970–pres. | Italy | F. Tozzi; amateur, (bio-it) | F. Tozzi | — |\n| Richard Trentman | 2 | 1939–pres. | United States | R. Trentman; amateur, Powell Observatory Near-Earth-Object program; disc: MPC and MPC | R. Trentman | (41279) |\n| David E. Trilling | 2 | 1972–pres. | United States | D. E. Trilling; disc: MPC and MPC | D. E. Trilling | (20362) |\n| Paul J. Tristram | 1 | n.a. | New Zealand | P. J. Tristram; MJUO, Src | P. J. Tristram | |\n| Chad Trujillo | 57 | 1973–pres. | United States | C. Trujillo; | C. A. Trujillo; C. Trujillo; C. W. Trujillo | (12101) |\n| Yuan-Sheng Tsai (astronomer) | 3 | n.a. | Taiwan | Y.-S. Tsai; inferred | Y.-S. Tsai | |\n| Akira Tsuchikawa | 4 | n.a. | Japan | A. Tsuchikawa; (bio-it) | A. Tsuchikawa | |\n| Roy A. Tucker | 710 | 1951–pres. | United States | R. A. Tucker; | R. A. Tucker | (10914) |\n| D. Tuma | 1 | n.a. | Czech Republic | D. Tuma; inferred | D. Tuma | |\n| Horace Parnell Tuttle | 2 | 1837–1923 | United States | H. P. Tuttle; | H. P. Tuttle | (5036) |\n| Andrzej Udalski | 2 | 1957–pres. | Poland | A. Udalski; disc: MPC and MPC | A. Udalski | |\n| Seiji Ueda | 705 | 1952–pres. | Japan | S. Ueda; amateur | S. Ueda | (4676) |\n| Takeshi Urata | 642 | 1947–1912 | Japan | T. Urata; amateur | T. Urata | (3722) |\n| Fumiaki Uto | 22 | n.a. | Japan | F. Uto; | F. Uto; T. Uto | — |\n| Antonio Vagnozzi | 46 | 1950–pres. | Italy | A. Vagnozzi; amateur | A. Vagnozzi | (7529) |\n| Marja Väisälä | 2 | 1916–2011 | Finland | M. Väisälä; Marja Ilmatar Väisälä, daughter of Y. Väisälä, disc: MPC and MPC, (bio-it) | M. Vaisala | |\n| Yrjö Väisälä | 128 | 1891–1971 | Finland | Y. Väisälä; at Turku Observatory | Y. Vaisala | (1573), (2804) |\n| Mallory Vale | 3 | 1986–pres. | United States | M. Vale; | M. Vale | (158899) |\n| George Van Biesbroeck | 16 | 1880–1974 | Belgium United States | G. Van Biesbroeck; | G. Van Biesbroeck | (1781) |\n| Hendrik van Gent | 39 | 1899–1947 | Netherlands | H. van Gent; | H. van Gent | (1966) |\n| Cornelis Johannes van Houten | 4639 | 1920–2002 | Netherlands | C. J. van Houten; | C. J. van Houten | (1673) |\n| Ingrid van Houten-Groeneveld | 4640 | 1921–2015 | Netherlands | I. van Houten-Groeneveld; | I. van Houten-Groeneveld; I. Groeneveld | (1674) |\n| Andre van Staden | 1 | n.a. | South Africa | A. van Staden; inferred | A. van Staden | |\n| Andrew Vanden Heuvel | 1 | n.a. | United States | A. Vanden Heuvel; (bio-it) | A. Vanden Heuvel | |\n| Luděk Vašta | 1 | n.a. | Czech Republic | L. Vašta; inferred | L. Vasta | |\n| Zdeňka Vávrová | 115 | 1945–pres. | Czech Republic | Z. Vávrová; | Z. Vavrova | (3364) |\n| Christian Veillet | 145 | 1954–pres. | France | C. Veillet; | C. Veillet | (16984) |\n| Graziano Ventre | 4 | 1954–pres. | Italy | G. Ventre; amateur, (bio-it) | G. Ventre | (22500) |\n| Antoni Vidal | 1 | n.a. | Spain | A. Vidal; amateur, (bio-it) | A. Vidal | |\n| Ester Vigil | 1 | n.a. | Spain | E. Vigil; amateur, (bio-it) | E. Vigil | |\n| Jozef Világi | 9 | n.a. | Slovakia | J. Világi; inferred | J. Vilagi | – |\n| Walter Augustin Villiger | 1 | 1872–1938 | Switzerland | W. Villiger; | W. Villiger | (1310) |\n| George R. Viscome | 33 | 1956–pres. | United States | G. R. Viscome; | G. R. Viscome | (6183) |\n| David Voglsam | 1 | n.a. | Austria | D. Voglsam; Src | D. Voglsam | |\n| Heinrich Vogt (astronomer) | 1 | 1890–1968 | Germany | H. Vogt; disc: MPC | H. Vogt | (1439) |\n| Luigi Volta | 5 | 1876–1952 | Italy | L. Volta; (bio-it) | L. Volta | |\n| Tomáš Vorobjov | 7 | 1984–pres. | Slovakia | T. Vorobjov; amateur | T. Vorobjov | (4858) |\n| Christel Vuissoz | 3 | n.a. | Switzerland | C. Vuissoz; inferred, disc: MPC | C. Vuissoz | |\n| Libor Vyskočil | 1 | n.a. | Czech Republic | L. Vyskočil; inferred | L. Vyskocil | |\n| Arno Arthur Wachmann | 3 | 1902–1990 | Germany | A. Wachmann; | A. Wachmann | (1704) |\n| Sahil Wadhwa | 1 | n.a. | India | S. Wadhwa; Src | S. Wadhwa | |\n| Joe Wagner (astronomer) | 6 | 1964-pres. | United States | J. Wagner; (bio-it) | J. Wagner | |\n| Duncan Waldron | 2 | n.a. | United Kingdom Scotland | J. D. Waldron; amateur, disc: MPC and MPC, (bio-it) | J. D. Waldron | |\n| Jasper V. Wall | 1 | n.a. | Canada | J. V. Wall; (bio-it) | J. V. Wall | |\n| Åke Wallenquist | 1 | 1904–1994 | Sweden | Å. A. E. Wallenquist; at Kvistaberg Station | A. A. E. Wallenquist | (2114) |\n| Brian D. Warner | 3 | 1952–pres. | United States | B. D. Warner; photometrist, (bio-it), Src | B. D. Warner | (8734) |\n| Archibald Warnock | 7 | n.a. | United States | A. Warnock; (bio-it) | A. Warnock | — |\n| Lawrence H. Wasserman | 33 | n.a. | United States | L. H. Wasserman; occultion, (bio-it) | L. H. Wasserman | (2660) |\n| Kazuro Watanabe | 671 | 1955–pres. | Japan | K. Watanabe; amateur | K. Watanabe | (4155) |\n| James Craig Watson | 22 | 1838–1880 | Canada United States | J. C. Watson; | J. C. Watson | (729) |\n| Martin Watt | 4 | n.a. | United Kingdom | M. Watt; (bio-it) | M. Watt | |\n| J. Scott Weaver | 2 | 1940–2008 | United States | J. S. Weaver; (bio-it) | J. S. Weaver; S. Weaver | (96344) |\n| Robert Weber (astronomer) | 8 | 1926–2008 | United States | R. Weber; | R. Weber | (6181) |\n| Katrina Wefel | 2 | n.a. | United States | K. Wefel; at Baton Rouge, disc: MPC and MPC | K. Wefel | |\n| Don J. Wells | 20 | 1965–pres. | United States | D. Wells; amateur, (bio-it) | D. Wells | (99891) |\n| Jim Wentworth | 1 | n.a. | United States | J. Wentworth; inferred | J. Wentworth | |\n| Wolfgang Wenzel (astronomer) | 1 | 1929–pres. | Germany | W. Wenzel; (bio-de) | W. Wenzel | (58607) |\n| Richard Martin West | 40 | 1941–pres. | Denmark | R. M. West; | R. M. West | (2022) |\n| Fred Lawrence Whipple | 1 | 1906–2004 | United States | F. L. Whipple; | F. L. Whipple | (1940) |\n| Minor White (astronomer) | 44 | n.a. | United States | M. White; (bio-it) | M. White | — |\n| Robert J. Whiteley | 12 | 1971–pres. | United States | R. J. Whiteley; (bio-it) | R. J. Whiteley | (20460) |\n| Paul Wiegert | 85 | 1967–pres. | Canada | P. A. Wiegert; | P. A. Wiegert | (15068) |\n| Patrick Wiggins (astronomer) | 5 | 1949–pres. | United States | P. Wiggins; amateur, (bio-it) | P. Wiggins | (4099) |\n| Paul Wild (Swiss astronomer) | 94 | 1925–2014 | Switzerland | P. Wild; | P. Wild | (1941) |\n| Peter D. Wilder | 1 | n.a. | United States | P. D. Wilder; (bio-it) | P. D. Wilder | |\n| Iwan P. Williams | 7 | n.a. | United Kingdom | I. P. Williams; (bio-it) | I. P. Williams | (3634) |\n| James G. Williams | 1 | n.a. | United States | J. G. Williams; Src | J. G. Williams | (2335) |\n| Kenneth A. Williams | 14 | 1956–pres. | United States | K. A. Williams; (824) Lake Clear N.Y.; astrophotographer | K. A. Williams | (14075) |\n| Ryan M. Williams | 1 | n.a. | United States | R. M. Williams; (bio-it) | R. M. Williams | |\n| John E. Willis | 1 | n.a. | United States | J. Willis; USNO-astronomer, Src (bio-it) | J. Willis | — |\n| Albert George Wilson | 5 | 1918–2012 | United States | A. G. Wilson; | A. G. Wilson | (4015) |\n| Carl A. Wirtanen | 8 | 1910–1990 | United States | C. A. Wirtanen; | C. A. Wirtanen | (2044) |\n| Edith Wirtanen | 1 | n.a. | United States | E. Wirtanen; Edith Rand Wirtanen, wife of Carl Wirtanen, (bio-it) | E. Wirtanen | (6029) |\n| Carl Gustav Witt | 2 | 1866–1946 | Germany | G. Witt; | G. Witt | (2732) |\n| Christian Wolf (astronomer) | 1 | n.a. | Germany | C. Wolf; assumed | C. Wolf | |\n| Marek Wolf | 19 | 1957–pres. | Czech Republic | M. Wolf; | M. Wolf | — |\n| Max Wolf | 248 | 1863–1932 | Germany | M. F. Wolf; | M. F. Wolf | (827) |\n| Chris Wolfe | 29 | n.a. | United States | C. Wolfe; (bio-it) | C. Wolfe | — |\n| Ulrich Wolff | 2 | 1964–pres. | Germany | U. Wolff; amateur, Berlin, Src | U. Wolff | |\n| Harry Edwin Wood | 12 | 1881–1946 | United Kingdom | H. E. Wood; | H. E. Wood | (1660) |\n| Naotaka Yamamoto | 1 | n.a. | Japan | N. Yamamoto; (bio-it) | N. Yamamoto | |\n| Masayuki Yanai | 27 | 1959–pres. | Japan | M. Yanai; | M. Yanai | (4260) |\n| Yang Tingzhang | 12 | n.a. | Taiwan | T.-C. Yang; (bio-it) | T.-C. Yang | — |\n| Ye Quan-Zhi | 200 | 1988–pres. | China | Q.-z. Ye; also: Quan-Zhi Ye, (bio-it), Src | Q.-z. Ye; Q.-Z. Ye; Q. Ye | (10280) |\n| William Kwong Yu Yeung | 2027 | 1960–pres. | Canada | W. K. Y. Yeung; amateur, (bio-it) | W. K. Y. Yeung | (40776) |\n| M. Yoshimi | 1 | n.a. | Japan | M. Yoshimi; | M. Yoshimi | |\n| James Whitney Young | 257 | 1941–pres. | United States | J. W. Young; | J. W. Young | (2874) |\n| Jure Zakrajšek | 1 | n.a. | Slovenia | J. Zakrajšek; Src | J. Zakrajsek | |\n| Fulvio Zanardini | 2 | n.a. | Italy | F. Zanardini; disc: MPC and MPC, (bio-it) | F. Zanardini | |\n| Vincenzo Zappalà | 9 | 1945–pres. | Italy | V. Zappalà; at Pino Torinese Observatory | V. Zappala | (2813) |\n| Justas Zdanavičius | 84 | n.a. | Lithuania | J. Zdanavičius; (bio-it) | J. Zdanavicius | — |\n| Kazimieras Zdanavičius | 1 | 1938–pres. | Lithuania | K. Zdanavičius; (bio-it) | K. Zdanavicius | (203823) |\n| Kenneth W. Zeigler | 3 | n.a. | United States | K. W. Zeigler; disc: MPC, (bio-it) | K. W. Zeigler | |\n| David S. Zelinsky | 1 | n.a. | United States | D. Zelinsky; inferred | D. Zelinsky | (3042) |\n| Lyudmila Zhuravleva | 213 | 1946–pres. | Russia Ukraine | L. V. Zhuravleva; Lyudmila Vasil'evna Zhuravleva; ITA-astronomer | L. V. Zhuravleva | (26087) |\n| Massimo Ziboli | 4 | n.a. | Italy | M. Ziboli; amateur, disc: MPC, (bio-it) | M. Ziboli | |\n| Pavel Zigo | 1 | n.a. | Slovakia | P. Zigo; inferred | P. Zigo | |\n| Ute Zimmer | 21 | 1964–pres. | Germany | U. Zimmer; amateur, | U. Zimmer | — |\n| Michał Żołnowski | 8 | 1975–pres. | Poland | M. Żołnowski; amateur, Rantiga Osservatorio | M. Zolnowski | (384815) |\n| Frank B. Zoltowski | 229 | 1957–pres. | Australia | F. B. Zoltowski; amateur | F. B. Zoltowski | (18292) |\n| Giovanni Zonaro | 1 | n.a. | Italy | G. Zonaro; amateur, (bio-it) | G. Zonaro | |\n| Cristina Zurita | 1 | n.a. | Spain | C. Zurita; inferred | C. Zurita | |\n| Anna N. Żytkow | 7 | 1947–pres. | Poland | A. Żytkow; | A. Zytkow | — |" + } + ] + }, + { + "id": "table_recognition_train_item_51864", + "image": "table_instructV/images/TAT-QA_763c97ee-b6f2-48c2-b3a9-c4087a0d312b.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| | Total Number of Shares Purchased (1) | Average Price of Share | Total Number of Shares Purchased as Part of Publicly Announced Plans (1) | Maximum Number of Shares that May Yet Be Purchased Under the Plans (2) |\n| --- | --- | --- | --- | --- |\n| April 1 - April 30, 2019 | — | $— | — | 3,732,713 |\n| May 1 - May 31, 2019 | 250,000 | $134.35 | 250,000 | 3,482,713 |\n| June 1 - June 30, 2019 | — | $— | — | 3,482,713 |\n| Total | 250,000 | $134.35 | 250,000 | 3,482,713 |" + } + ] + }, + { + "id": "table_recognition_train_item_32425", + "image": "table_instructV/images/TABMWP_17835.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of lakes | Number of ducks |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_56452", + "image": "table_instructV/images/TabFact_2-14094649-21.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| rank | name | headquarters | primary industry | market value ( usd million) |\n| --- | --- | --- | --- | --- |\n| 1 | microsoft | united states | software industry | 271854 |\n| 2 | general electric | united states | conglomerate | 258871 |\n| 3 | exxon mobil | united states | oil and gas | 172213 |\n| 4 | royal dutch shell | the netherlands | oil and gas | 164157 |\n| 5 | merck | united states | health care | 154753 |\n| 6 | pfizer | united states | health care | 148074 |\n| 7 | intel corporation | united states | computer hardware | 144060 |\n| 8 | the coca - cola company | united states | beverage | 142164 |\n| 9 | wal - mart | united states | retail | 123062 |\n| 10 | ibm | united states | software industry , computer hardware | 121184 |" + } + ] + }, + { + "id": "table_recognition_train_item_108152", + "image": "table_instructV/images/ToTTo_train_table_34260.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| building | height | floors | height including antenna/spire |\n| --- | --- | --- | --- |\n| Pazim | 92 | 22 | 128 |\n| St. James | | | 110.18 |\n| PRITV | 65 | 17 | 65 |\n| EWA | 64 | | |\n| Widok | 55 | 18 | 55 |" + } + ] + }, + { + "id": "table_recognition_train_item_35467", + "image": "table_instructV/images/TABMWP_34801.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $735 | 22,700 | 2,600 |\n| $795 | 21,500 | 4,900 |\n| $855 | 20,300 | 7,200 |\n| $915 | 19,100 | 9,500 |\n| $975 | 17,900 | 11,800 |" + } + ] + }, + { + "id": "table_recognition_train_item_50174", + "image": "table_instructV/images/TAT-QA_a959ea9a-342d-4f31-9aa1-e0e78ff1d0b3.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | For the Years | | Ended December 31, | |\n| --- | --- | --- | --- | --- |\n| | 2019 | | 2018(1) | |\n| Net revenues | | | | |\n| Product sales | $1,975 | 30% | $2,255 | 30% |\n| Subscription, licensing, and other revenues | 4,514 | 70 | 5,245 | 70 |\n| Total net revenues | 6,489 | 100 | 7,500 | 100 |\n| Costs and expenses | | | | |\n| Cost of revenues—product sales: | | | | |\n| Product costs | 656 | 33 | 719 | 32 |\n| Software royalties, amortization, and intellectual property licenses | 240 | 12 | 371 | 16 |\n| Cost of revenues—subscription, licensing, and other | | | | |\n| Game operations and distribution costs | 965 | 21 | 1,028 | 20 |\n| Software royalties, amortization, and intellectual property licenses | 233 | 5 | 399 | 8 |\n| Product development | 998 | 15 | 1,101 | 15 |\n| Sales and marketing | 926 | 14 | 1,062 | 14 |\n| General and administrative | 732 | 11 | 822 | 11 |\n| Restructuring and related costs | 132 | 2 | 10 | — |\n| Total costs and expenses | 4,882 | 75 | 5,512 | 73 |\n| Operating income | 1,607 | 25 | 1,988 | 27 |\n| Interest and other expense (income), net | (26) | — | 71 | 1 |\n| Loss on extinguishment of debt (2) | — | — | 40 | 1 |\n| Income before income tax expense | 1,633 | 25 | 1,877 | 25 |\n| Income tax expense | 130 | 2 | 29 | — |\n| Net income | $1,503 | 23% | $1,848 | 25% |" + } + ] + }, + { + "id": "table_recognition_train_item_57958", + "image": "table_instructV/images/TabFact_1-2241259-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| year | date | driver | team | manufacturer | laps | - | race time | average speed (mph) | report |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1988 | november 6 | alan kulwicki | ak racing | ford | 312 | 312 (502.115) | 3:26:57 | 90.457 | report |\n| 1989 | november 5 | bill elliott | melling racing | ford | 312 | 312 (502.115) | 2:57:08 | 105.683 | report |\n| 1990 | november 4 | dale earnhardt | richard childress racing | chevrolet | 312 | 312 (502.115) | 3:13:25 | 96.786 | report |\n| 1991 | november 3 | davey allison | robert yates racing | ford | 312 | 312 (502.115) | 3:15:31 | 95.746 | report |\n| 1992 | november 1 | davey allison | robert yates racing | ford | 312 | 312 (502.115) | 3:00:12 | 103.885 | report |\n| 1993 | october 31 | mark martin | roush racing | ford | 312 | 312 (502.115) | 3:06:30 | 100.375 | report |\n| 1994 | october 30 | terry labonte | hendrick motorsports | chevrolet | 312 | 312 (502.115) | 2:54:12 | 107.463 | report |\n| 1995 | october 29 | ricky rudd | rudd performance motorsports | ford | 312 | 312 (502.115) | 3:03:18 | 102.128 | report |\n| 1996 | october 27 | bobby hamilton | petty enterprises | pontiac | 312 | 312 (502.115) | 2:50:38 | 109.709 | report |\n| 1997 | november 2 | dale jarrett | robert yates racing | ford | 312 | 312 (502.115) | 2:48:55 | 110.824 | report |\n| 1998 | october 25 | rusty wallace | penske racing | ford | 257 | 257 (413.601) | 2:22:30 | 108.211 | report |\n| 1999 | november 7 | tony stewart | joe gibbs racing | pontiac | 312 | 312 (502.115) | 2:38:28 | 118.132 | report |\n| 2000 | november 5 | jeff burton | roush racing | ford | 312 | 312 (502.115) | 2:58:13 | 105.041 | report |\n| 2001 | october 28 | jeff burton | roush racing | ford | 312 | 312 (502.115) | 3:02:26 | 102.613 | report |\n| 2002 | november 10 | matt kenseth | roush racing | ford | 312 | 312 (502.115) | 2:44:25 | 113.857 | report |\n| 2003 | november 2 | dale earnhardt , jr | dale earnhardt , inc | chevrolet | 312 | 312 (502.115) | 3:19:11 | 93.984 | report |\n| 2004 | november 7 | dale earnhardt , jr | dale earnhardt , inc | chevrolet | 315 | 315 (506.943) | 3:19:16 | 94.848 | report |\n| 2005 | november 13 | kyle busch | hendrick motorsports | chevrolet | 312 | 312 (502.115) | 3:02:23 | 102.641 | report |\n| 2006 | november 12 | kevin harvick | richard childress racing | chevrolet | 312 | 312 (502.115) | 3:14:44 | 96.131 | report |\n| 2007 | november 11 | jimmie johnson | hendrick motorsports | chevrolet | 312 | 312 (502.115) | 3:01:46 | 102.989 | report |\n| 2008 | november 9 | jimmie johnson | hendrick motorsports | chevrolet | 313 | 313 (503.724) | 3:12:01 | 97.804 | report |\n| 2009 | november 15 | jimmie johnson | hendrick motorsports | chevrolet | 312 | 312 (502.115) | 2:49:26 | 110.486 | report |\n| 2010 | november 14 | carl edwards | roush fenway racing | ford | 312 | 312 (502.115) | 2:49:01 | 110.754 | report |\n| 2011 | november 13 | kasey kahne | red bull racing team | toyota | 312 | 312 (502.115) | 2:45:47 | 112.918 | report |" + } + ] + }, + { + "id": "table_recognition_train_item_31606", + "image": "table_instructV/images/TABMWP_9303.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Number of shelves | Number of pairs of jeans |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | 20 |\n| 5 | 25 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_55366", + "image": "table_instructV/images/TabFact_2-17162199-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| place | player | country | score | to par |\n| --- | --- | --- | --- | --- |\n| 1 | tom lehman | united states | 71 + 72 + 65 = 208 | - 2 |\n| 2 | steve jones | united states | 74 + 66 + 69 = 209 | - 1 |\n| t3 | davis love iii | united states | 71 + 69 + 70 = 210 | e |\n| t3 | john morse | united states | 68 + 74 + 68 = 210 | e |\n| t3 | frank nobilo | new zealand | 69 + 71 + 70 = 210 | e |\n| t6 | woody austin | united states | 67 + 72 + 72 = 211 | + 1 |\n| t6 | ernie els | south africa | 72 + 67 + 72 = 211 | + 1 |\n| t6 | jim furyk | united states | 72 + 69 + 70 = 211 | + 1 |\n| t6 | colin montgomerie | scotland | 70 + 72 + 69 = 211 | + 1 |\n| t6 | sam torrance | scotland | 71 + 69 + 71 = 211 | + 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_34568", + "image": "table_instructV/images/TABMWP_6670.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Date | Description | Received | Expenses | Available Funds |\n| --- | --- | --- | --- | --- |\n| | Balance: end of June | | | $450.70 |\n| 7/5 | cleaning the Lynches' pool | $15.00 | | $465.70 |\n| 7/17 | bottle of water | | $1.50 | $464.20 |\n| 7/29 | swim trunks | | $16.80 | $447.40 |" + } + ] + }, + { + "id": "table_recognition_train_item_49146", + "image": "table_instructV/images/TAT-QA_bce397dd-31f5-4b74-9100-36a03c290770.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| ($ in millions) | | | |\n| --- | --- | --- | --- |\n| For the year ended December 31: | 2019 | 2018 | Yr.-to-Yr. Percent Change |\n| Selling, general and administrative expense | | | |\n| Selling, general and administrative—other | $17,099 | $16,438 | 4.0% |\n| Advertising and promotional expense | 1,647 | 1,466 | 12.3 |\n| Workforce rebalancing charges | 555 | 598 | (7.2) |\n| Amortization of acquired intangible assets | 762 | 435 | 74.9 |\n| Stock-based compensation | 453 | 361 | 25.2 |\n| Bad debt expense | 89 | 67 | 32.5 |\n| Total consolidated selling, general and administrative expense | $20,604 | $19,366 | 6.4% |\n| Non-operating adjustments | | | |\n| Amortization of acquired intangible assets | (762) | (435) | 74.9 |\n| Acquisition-related charges | (282) | (15) | NM |\n| Operating (non-GAAP) selling, general and administrative expense | $19,560 | $18,915 | 3.4% |" + } + ] + }, + { + "id": "table_recognition_train_item_117357", + "image": "table_instructV/images/Rotowire_train_table_3021.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pacers | Indiana | 104 | 27 | 19 | 26 | 32 | 19 | 35 | 13 | 48 | 78 | 18 | 22 | 18 | | | | |\n| Wizards | Washington | 118 | 24 | 35 | 29 | 30 | 26 | 54 | 15 | 52 | 50 | 44 | 19 | 19 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| Paul George | 34 | 21 | 5 | 7 | 6-19 | 32% | 1-7 | 14% | 8-8 | 100% | 3 | 5 | 1 | 1 | 4 | 3 | F | Indiana |\n| George Hill | 34 | 19 | 8 | 1 | 8-14 | 57% | 2-4 | 50% | 1-2 | 50% | 1 | 2 | 0 | 3 | 5 | 2 | G | Indiana |\n| Monta Ellis | 37 | 17 | 3 | 3 | 7-14 | 50% | 0-2 | 0% | 3-5 | 60% | 1 | 0 | 1 | 0 | 3 | 1 | G | Indiana |\n| Lavoy Allen | 20 | 15 | 3 | 1 | 6-8 | 75% | 0-0 | 0% | 3-4 | 75% | 0 | 0 | 0 | 0 | 3 | 0 | N/A | Indiana |\n| Myles Turner | 18 | 10 | 3 | 1 | 4-8 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 1 | 2 | 1 | N/A | Indiana |\n| Ian Mahinmi | 21 | 7 | 4 | 0 | 3-5 | 60% | 0-0 | 0% | 1-2 | 50% | 1 | 3 | 0 | 0 | 4 | 2 | C | Indiana |\n| Joe Young | 3 | 6 | 0 | 0 | 2-2 | 100% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Indiana |\n| CJ Miles | 27 | 4 | 2 | 1 | 1-3 | 33% | 0-2 | 0% | 2-2 | 100% | 1 | 0 | 1 | 1 | 1 | 3 | F | Indiana |\n| Chase Budinger | 20 | 4 | 4 | 3 | 1-4 | 25% | 0-2 | 0% | 2-3 | 67% | 1 | 2 | 0 | 0 | 4 | 0 | N/A | Indiana |\n| Jordan Hill | 8 | 1 | 2 | 2 | 0-2 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Indiana |\n| Glenn Robinson | 11 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Indiana |\n| Solomon Hill | 8 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Indiana |\n| Rodney Stuckey | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| John Wall | 31 | 28 | 7 | 8 | 12-21 | 57% | 1-3 | 33% | 3-5 | 60% | 1 | 3 | 0 | 2 | 5 | 1 | G | Washington |\n| Bradley Beal | 22 | 22 | 5 | 1 | 9-15 | 60% | 4-7 | 57% | 0-1 | 0% | 0 | 2 | 0 | 2 | 3 | 3 | N/A | Washington |\n| Gary Neal | 24 | 12 | 4 | 3 | 5-10 | 50% | 2-3 | 67% | 0-0 | 0% | 0 | 1 | 0 | 0 | 4 | 2 | N/A | Washington |\n| DeJuan Blair | 23 | 12 | 6 | 1 | 6-8 | 75% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 3 | 3 | 4 | N/A | Washington |\n| Ramon Sessions | 23 | 10 | 3 | 5 | 5-7 | 71% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 0 | 3 | 2 | N/A | Washington |\n| Nene | 21 | 8 | 8 | 2 | 4-9 | 44% | 0-0 | 0% | 0-0 | 0% | 1 | 4 | 1 | 6 | 2 | 5 | C | Washington |\n| Drew Gooden | 17 | 8 | 4 | 0 | 4-9 | 44% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 4 | 3 | N/A | Washington |\n| Kelly Oubre Jr. | 18 | 7 | 4 | 0 | 2-6 | 33% | 1-2 | 50% | 2-4 | 50% | 2 | 0 | 0 | 2 | 2 | 3 | F | Washington |\n| Garrett Temple | 28 | 5 | 6 | 5 | 2-8 | 25% | 1-4 | 25% | 0-0 | 0% | 0 | 1 | 1 | 1 | 5 | 4 | G | Washington |\n| Jared Dudley | 30 | 3 | 7 | 1 | 1-3 | 33% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 1 | 6 | 2 | F | Washington |\n| Jarell Eddie | 3 | 3 | 0 | 0 | 1-2 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Washington |\n| Otto Porter | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |" + } + ] + }, + { + "id": "table_recognition_train_item_64138", + "image": "table_instructV/images/TabFact_2-15316394-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| goal | date | venue | score | result | competition |\n| --- | --- | --- | --- | --- | --- |\n| 1 | july 17 , 1999 | estadio defensores del chaco , asunción , paraguay | 2 - 1 | 2 - 1 | 1999 copa américa |\n| 2 | august 4 , 1999 | estadio azteca , mexico city , mexico | 1 - 0 | 4 - 3 | 1999 fifa confederations cup |\n| 3 | august 4 , 1999 | estadio azteca , mexico city , mexico | 3 - 2 | 4 - 3 | 1999 fifa confederations cup |\n| 4 | february 5 , 2000 | hong kong stadium , wan chai , hong kong | 1 - 0 | 1 - 0 | 2000 carlsberg cup |\n| 5 | february 8 , 2000 | hong kong stadium , wan chai , hong kong | 1 - 2 | 1 - 2 | 2000 carlsberg cup |\n| 6 | july 5 , 2000 | estadio tecnológico , monterrey , mexico | 1 - 1 | 2 - 1 | friendly |\n| 7 | july 16 , 2000 | estadio rommel fernández , panama city , panama | 1 - 0 | 1 - 0 | 2002 fifa world cup qualification |\n| 8 | september 3 , 2000 | estadio azteca , mexico city , mexico | 3 - 0 | 7 - 1 | 2002 fifa world cup qualification |" + } + ] + }, + { + "id": "table_recognition_train_item_66596", + "image": "table_instructV/images/TabFact_2-18719696-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| name | height | weight | spike | 2008 club |\n| --- | --- | --- | --- | --- |\n| wang yimei | m | - | cm (in) | liaoning |\n| feng kun | m | - | cm (in) | beijing |\n| yang hao | m | - | cm (in) | liaoning |\n| liu yanan | m | - | cm (in) | liaoning |\n| wei qiuyue | m | - | cm (in) | tianjin |\n| xu yunli | m | - | cm (in) | fujian |\n| zhou suhong | m | - | cm (in) | zhejiang |\n| zhao ruirui | m | - | cm (in) | army |\n| xue ming | m | - | cm (in) | beijing |\n| li juan | m | - | cm (in) | tianjin |\n| zhang na | m | - | cm (in) | tianjin |\n| ma yunwen | m | - | cm (in) | shanghai |" + } + ] + }, + { + "id": "table_recognition_train_item_58976", + "image": "table_instructV/images/TabFact_1-23248910-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 3 | november 1 | lakers | l 110 - 118 (ot) | j johnson (9) | j johnson (9) a horford (9) | j smith (7) | staples center 18997 | 2 - 1 |\n| 4 | november 3 | trail blazers | w 97 - 91 (ot) | j crawford (27) | a horford (13) | j crawford (7) | rose garden 20325 | 3 - 1 |\n| 5 | november 4 | kings | w 113 - 105 (ot) | j crawford (26) j johnson (26) | j johnson (8) a horford (8) | j crawford (4) j johnson (4) | arco arena 11751 | 4 - 1 |\n| 6 | november 6 | bobcats | l 83 - 103 (ot) | j crawford (13) j johnson (13) j smith (13) | j smith (7) | j teague (3) m bibby (3) | time warner cable arena 15874 | 4 - 2 |\n| 7 | november 7 | nuggets | w 125 - 100 (ot) | j crawford (25) | a horford (12) | j smith (7) | philips arena 17801 | 5 - 2 |\n| 8 | november 11 | knicks | w 114 - 101 (ot) | a horfod (25) | j smith (12) | m bibby (9) | madison square garden 19699 | 6 - 2 |\n| 9 | november 13 | celtics | w 97 - 86 (ot) | j johnson (24) | a horford (13) | m bibby (6) | td garden 18624 | 7 - 2 |\n| 10 | november 14 | hornets | w 121 - 98 (ot) | j johnson (26) | j smith (17) | j johnson (7) | philips arena 18572 | 8 - 2 |\n| 11 | november 16 | trail blazers | w 99 - 95 (ot) | j johnson (35) | j smith (16) | j johnson (9) | philips arena 12977 | 9 - 2 |\n| 12 | november 18 | heat | w 105 - 90 (ot) | j johnson (30) | j smith (14) | j smith (7) | philips arena 18729 | 10 - 2 |\n| 13 | november 20 | rockets | w 105 - 103 (ot) | m williams (29) | m williams (9) | j johnson (9) | philips arena 16674 | 11 - 2 |\n| 14 | november 21 | hornets | l 88 - 96 (ot) | j crawford (20) | a horford (11) | j smith (7) | new orleans arena 15933 | 11 - 3 |\n| 15 | november 26 | magic | l 76 - 93 (ot) | j johnson (22) | j smith (13) | m bibby (5) | philips arena 19193 | 11 - 4 |\n| 16 | november 27 | 76ers | w 100 - 86 (ot) | j crawford (24) | m williams (9) | j crawford / m bibby (5) | wachovia center 12984 | 12 - 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_113217", + "image": "table_instructV/images/Rotowire_train_table_951.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nuggets | Denver | 127 | 35 | 22 | 39 | 31 | 29 | 46 | 12 | 51 | 86 | 39 | 20 | 25 | | | | |\n| Suns | Phoenix | 120 | 29 | 32 | 31 | 28 | 21 | 28 | 11 | 54 | 82 | 42 | 15 | 31 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Nuggets | | | | | | | | | | | | | | | | | | |\n| Nikola Jokic | 36 | 29 | 14 | 8 | 12-21 | 57% | 0-2 | 0% | 5-6 | 83% | 1 | 3 | 2 | 8 | 6 | 2 | C | Denver |\n| Danilo Gallinari | 35 | 25 | 7 | 1 | 7-16 | 44% | 2-7 | 29% | 9-12 | 75% | 0 | 1 | 1 | 1 | 6 | 0 | F | Denver |\n| Will Barton | 25 | 16 | 2 | 4 | 6-7 | 86% | 1-1 | 100% | 3-3 | 100% | 0 | 2 | 0 | 1 | 1 | 2 | N/A | Denver |\n| Kenneth Faried | 21 | 15 | 6 | 0 | 5-8 | 63% | 0-0 | 0% | 5-5 | 100% | 1 | 1 | 0 | 4 | 2 | 1 | F | Denver |\n| Jameer Nelson | 42 | 13 | 4 | 9 | 6-11 | 55% | 1-4 | 25% | 0-0 | 0% | 2 | 2 | 1 | 0 | 4 | 3 | G | Denver |\n| Wilson Chandler | 31 | 9 | 9 | 5 | 2-6 | 33% | 1-1 | 100% | 4-5 | 80% | 0 | 0 | 0 | 3 | 6 | 2 | N/A | Denver |\n| Darrell Arthur | 15 | 8 | 2 | 0 | 3-5 | 60% | 2-3 | 67% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 4 | N/A | Denver |\n| Gary Harris | 28 | 8 | 1 | 1 | 2-9 | 22% | 2-4 | 50% | 2-2 | 100% | 1 | 3 | 2 | 1 | 0 | 1 | G | Denver |\n| Jamal Murray | 6 | 4 | 1 | 1 | 1-3 | 33% | 0-1 | 0% | 2-2 | 100% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | Denver |\n| Mike Miller | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Jusuf Nurkic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Malik Beasley | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Juan Hernangomez | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Suns | | | | | | | | | | | | | | | | | | |\n| Eric Bledsoe | 28 | 28 | 4 | 5 | 9-19 | 47% | 3-7 | 43% | 7-9 | 78% | 0 | 1 | 0 | 2 | 2 | 5 | G | Phoenix |\n| Devin Booker | 33 | 24 | 0 | 6 | 9-17 | 53% | 1-6 | 17% | 5-6 | 83% | 1 | 5 | 0 | 0 | 0 | 2 | G | Phoenix |\n| TJ Warren | 41 | 21 | 8 | 0 | 9-16 | 56% | 1-2 | 50% | 2-2 | 100% | 0 | 0 | 1 | 1 | 7 | 4 | F | Phoenix |\n| Brandon Knight | 29 | 17 | 1 | 4 | 8-11 | 73% | 1-2 | 50% | 0-0 | 0% | 0 | 2 | 1 | 0 | 1 | 0 | N/A | Phoenix |\n| PJ Tucker | 39 | 11 | 4 | 0 | 4-10 | 40% | 3-4 | 75% | 0-0 | 0% | 1 | 0 | 0 | 1 | 3 | 4 | N/A | Phoenix |\n| Marquese Chriss | 8 | 5 | 0 | 0 | 2-3 | 67% | 1-2 | 50% | 0-0 | 0% | 2 | 1 | 0 | 0 | 0 | 4 | F | Phoenix |\n| Tyson Chandler | 23 | 4 | 5 | 1 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 3 | 2 | 0 | 1 | 4 | 1 | C | Phoenix |\n| Alex Len | 11 | 4 | 3 | 2 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 2 | 1 | 2 | N/A | Phoenix |\n| Leandro Barbosa | 9 | 4 | 1 | 1 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Phoenix |\n| Jared Dudley | 18 | 2 | 2 | 2 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 1 | 3 | N/A | Phoenix |\n| Alan Williams | 1 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Phoenix |\n| Derrick Jones, Jr. | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Tyler Ulis | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |" + } + ] + }, + { + "id": "table_recognition_train_item_106104", + "image": "table_instructV/images/ToTTo_train_table_25643.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Title | Director | Cast | Genre | Music director |\n| --- | --- | --- | --- | --- |\n| Asmaan Se Ooncha | | Jeetendra, Sonam | | |\n| Awara Zindagi | | Raj Kiran, Jagdish Raj | | |\n| Babul | | | | |\n| Bade Ghar Ki Beti | | Pran | | |\n| Bahurani | | | | |\n| Bandook Dahej Ke Seenay Par | Ramgopal Gupta | Sadashiv Amrapurkar, Sonika Gill, Gulshan Grover | | |\n| Batwara | | Dharmendra, Vinod Khanna | | |\n| Bhrashtachar | | Mithun Chakraborty, Rekha | | |\n| Billoo Badshah | | | | |\n| ChaalBaaz | Pankaj Parashar | Rajnikant, Sunny Deol, Sridevi, Anupam Kher | Romantic, Comedy | Laxmikant Pyarelal |\n| Chaalu Pe Chaalu | | | | |\n| Chahungi Tujhe Bar Bar | | | | |\n| Chandni | Yash Chopra | Vinod Khanna, Rishi Kapoor, Sridevi | Romance | Shiv Hari |\n| Charana | | | | |\n| Chingari | Ram Maheshwari | Sanjay Khan, Leena Chandavarkar, Pran, Shatrughan Sinha, Tiwari | | |\n| Clerk | | Manoj Kumar, Mohammed Ali, Shashi Kapoor, Rekha | | |\n| Daata | Sultan Ahmed | Mithun Chakravorty. Shammi Kapoor, Padmini Kolhapure, Suresh Oberoi | | |\n| Daddy | Mahesh Bhatt | Pooja Bhatt, Anupam Kher | | Rajesh Roshan |\n| Dana Paani | | | | |\n| Dav Pech | | | | |\n| Deep | Raj Babbar | Deepti Naval, Kanwaljeet | | |\n| Desh Ke Dushman | | | | |\n| Dil Lagake Dekho | | | | |\n| Hero Hiralal | Ketan Mehta, V.N. Menon | Naseeruddin Shah, Sanjana Kapoor, Deepa Sahi | Action, Comedy, Drama | |\n| Hisaab Khoon Ka | | | | |\n| Hum Bhi Insaan Hain | Manivannan | Sanjay Dutt, Jackie Shroff, Neelam Kothari, Jaya Prada | | Bappi Lahiri |\n| Hum Intezaar Karenge | | | | |\n| Jaaydaad | | | | |\n| Jaisi Karni Waisi Bharnii | | Govinda | | |\n| Jawani Ke Gunah | | | | |\n| Jism Ka Rishta | | | | |\n| Joshilaay | Shekhar Kapoor | Anil Kapoor, Sunny Deol, Meenakshi Seshadri, Sridevi | | |\n| Kanoon Apna Apna | Gopal B. | Dilip Kumar, Nutan Behl, Sanjay Dutt, Madhuri Dixit | Action | |\n| Khayal Gatha | Kumar Shahani | Rajat Kapoor, Poonam Dhillon | Drama | |\n| Ladaai | | | | |\n| Ladki | | | | |\n| Lal Dupatta Malmal Ka | | | | |\n| Lashkar | Dev Anand | | | |\n| Love Love Love | | | | |\n| Mahaadev | | | | |\n| Mahal | | | | |\n| Main Azaad Hoon | | Amitabh Bachchan, Shabana Azmi | | |\n| Main Tera Dushman | | | | |\n| Main Tere Liye | Vijay Anand | Suneil Anand, Meenakshi Sheshadri, Rajendra Kumar | | |\n| Maine Pyar Kiya | Sooraj R. Barjatya | Salman Khan, Bhagyashree Patwardhan, Laxmikant Berde, Mohnish Behl | Romantic, Drama | |\n| Mujrim | Umesh Mehra | Mithun Chakraborty, Madhuri Dixit, Nutan, Shakti Kapoor, Gulshan Grover | Action | |\n| Parinda | Vidhu Vinod Chopra | Jackie Shroff, Anil Kapoor, Nana Patekar, Madhuri Dixit, Anupam Kher | | |\n| Prem Pratigyaa | | | | |\n| Purani Haveli | | | | |\n| Raakh | | | | |\n| Raasta | | | | |\n| Rakhwala | | | | |\n| Ram Lakhan | Subhash Ghai | Anil Kapoor, Jackie Shroff, Dimple Kapadia, Madhuri Dixit, Amrish Puri, Rakhee Gulzar | Romance, Action, Comedy | |\n| Santosh | | | | |\n| Shanakht | | | | |\n| Shehzaade | | | | |\n| Shukriya | A. C. Trilok Chandra | Rajiv Kapoor, Amrita Singh, Pran, Beena Banerjee, Prem Chopra | | |\n| Sikka | | Jackie Shroff, Dharmendra, Dimple Kapadia | | |\n| Tere Bina Kya Jeena | | | | |\n| Toofan | Ketan Desai | Amitabh Bachchan, Meenakshi Seshadri, Amrita Singh, Pran, Kamal Kapoor, Goga Kapoor | Action | |\n| Touhean | | | | |\n| Tridev | Rajiv Rai | Naseeruddin Shah, Jackie Shroff, Sunny Deol, Madhuri Dixit, Sangeeta Bijlani, Sonam, Raza Murad, Anupam Kher, Amrish Puri | Action, Thriller | |\n| Tujhe Nahin Chhodunga | | | | |\n| Ustaad | | | | |\n| Vardi | | | | |\n| Vicky Dada | | | | |\n| Zaher | | | | |\n| Zakham | | | | |" + } + ] + }, + { + "id": "table_recognition_train_item_52184", + "image": "table_instructV/images/TabFact_1-28081876-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| series no | season no | title | directed by | written by | original air date | production code |\n| --- | --- | --- | --- | --- | --- | --- |\n| 6 | 1 | i see her face everywhere | matt shakman | rob corddry | august 22 , 2010 | 201 |\n| 7 | 2 | no one can replace her | matt shakman | rob corddry | august 29 , 2010 | 202 |\n| 8 | 3 | i am not afraid of any ghost | bryan gordon | rob huebel | september 5 , 2010 | 203 |\n| 9 | 4 | give a painted brother a break | rob schrab | paul scheer | september 12 , 2010 | 205 |\n| 10 | 5 | joke overload | john inwood | jason mantzoukas | september 19 , 2010 | 207 |\n| 11 | 6 | end of the middle | david wain | jonathan stern | september 26 , 2010 | 206 |\n| 13 | 8 | hot enough for you | david wain | rob corddry & david wain | october 10 , 2010 | 208 |\n| 14 | 9 | the coffee machine paid for itself | bryan gordon | ken marino & erica oyama | october 17 , 2010 | 209 |\n| 16 | 11 | you know no one can hear you , right | ken marino | brian huskey and rob corddry | october 31 , 2010 | 211 |" + } + ] + }, + { + "id": "table_recognition_train_item_65532", + "image": "table_instructV/images/TabFact_1-23243769-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| date | location | opponent | sun devils points | opp points | record |\n| --- | --- | --- | --- | --- | --- |\n| nov 28 / 08 | freeport , bahamas | hofstra | 80 | 54 | 1 - 0 |\n| nov 29 / 08 | freeport , bahamas | florida | 60 | 65 | 1 - 1 |\n| dec 3 / 08 | davis , ca | uc davis | 73 | 59 | 2 - 1 |\n| dec 6 / 08 | tempe | uc irvine | 75 | 23 | 3 - 1 |\n| dec 7 / 08 | tempe | northern arizona | 91 | 65 | 4 - 1 |\n| dec 14 / 08 | tempe | uc riverside | 68 | 45 | 5 - 1 |\n| dec18 / 08 | austin , tx | texas | 71 | 81 | 5 - 2 |\n| dec 21 / 08 | tempe | xavier | 75 | 57 | 6 - 2 |\n| dec 28 / 08 | lincoln , ne | nebraska | 58 | 62 | 6 - 3 |\n| jan 2 / 09 | tempe | stanford | 61 | 64 | 6 - 4 |\n| jan 4 / 09 | tempe | california | 53 | 54 | 6 - 5 |\n| jan 8 / 09 | corvalis , or | oregon state | 61 | 36 | 7 - 5 |\n| jan 10 / 09 | eugene , or | oregon | 81 | 53 | 8 - 5 |\n| jan 15 / 09 | tempe | ucla | 68 | 44 | 9 - 5 |\n| jan 17 / 09 | tempe | usc | 83 | 71 | 10 - 5 |\n| jan 24 / 09 | tempe | arizona | 75 | 38 | 11 - 5 |\n| jan29 / 09 | pullman , wa | washington state | 66 | 47 | 12 - 5 |\n| jan29 / 09 | seattle , wa | washington | 80 | 64 | 13 - 5 |\n| feb 5 / 09 | tempe | oregon | 68 | 56 | 14 - 5 |\n| feb 7 / 09 | tempe | oregon state | 65 | 54 | 15 - 5 |\n| feb 12 / 09 | los angeles , ca | usc | 72 | 69 | 16 - 5 |\n| feb 14 / 09 | los angeles , ca | ucla | 69 | 66 | 17 - 5 |\n| feb 21 / 09 | tucson , az | arizona | 60 | 53 | 18 - 5 |\n| feb 26 / 09 | tempe | washington | 55 | 32 | 19 - 5 |\n| feb 28 / 09 | tempe | washington state | 76 | 35 | 20 - 5 |\n| mar 5 / 09 | berkeley , ca | california | 63 | 41 | 21 - 5 |" + } + ] + }, + { + "id": "table_recognition_train_item_69414", + "image": "table_instructV/images/TabFact_2-1140119-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| race name | circuit | date | winning driver | constructor | report |\n| --- | --- | --- | --- | --- | --- |\n| xi pau grand prix | pau | 10 april | juan manuel fangio | maserati | report |\n| ii richmond trophy | goodwood | 10 april | reg parnell | maserati | report |\n| v san remo grand prix | sanremo | 16 april | juan manuel fangio | alfa romeo | report |\n| iv grand prix de paris | montlhãry | 30 april | georges grignard | talbot - lago | report |\n| xii british empire trophy | douglas | 15 june | bob gerard | era | report |\n| iv gran premio di bari | bari | 9 july | giuseppe farina | alfa romeo | report |\n| iv jcc jersey road race | jersey | 13 july | peter whitehead | ferrari | report |\n| xii circuit de l'albigeois | albi | 16 july | louis rosier | talbot - lago | report |\n| i grote prijs van nederland | zandvoort | 23 july | louis rosier | talbot - lago | report |\n| iii grand prix des nations | geneve | 30 july | juan manuel fangio | alfa romeo | report |\n| i nottingham trophy | gamston | 7 august | david hampshire | maserati | report |\n| iv ulster trophy | dundrod | 12 august | peter whitehead | ferrari | report |\n| xix coppa acerbo | pescara | 15 august | juan manuel fangio | alfa romeo | report |\n| i sheffield telegraph trophy | gamston | 19 august | cuth harrison | era | report |\n| ii brdc international trophy | silverstone | 26 august | giuseppe farina | alfa romeo | report |\n| iii goodwood trophy | goodwood | 30 september | reg parnell | brm | report |\n| x gran premio de penya rhin | pedralbes | 29 october | alberto ascari | ferrari | report |" + } + ] + }, + { + "id": "table_recognition_train_item_53346", + "image": "table_instructV/images/TabFact_2-10831471-18.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| athlete | event | semifinal | final | rank |\n| --- | --- | --- | --- | --- |\n| siamak feiz - askari | individual épée | did not advance | did not advance | el |\n| farhad rezaei | individual épée | did not advance | did not advance | el |\n| ghodrat rezaei | individual épée | did not advance | did not advance | el |\n| keivan javanshir | individual foil | did not advance | did not advance | el |\n| mohammad mirmohammadi | individual foil | did not advance | did not advance | el |\n| hamid veisi | individual foil | did not advance | did not advance | el |\n| peiman fakhri | individual sabre | did not advance | did not advance | el |\n| amir mahiman rahimi | individual sabre | guo l 6 - 15 | 3rd place match zhang l 4 - 15 | 4 |\n| abbas sheikholeslami | individual sabre | did not advance | did not advance | el |" + } + ] + }, + { + "id": "table_recognition_train_item_52750", + "image": "table_instructV/images/TabFact_2-16678519-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | september 25 , 1960 | cleveland browns | l 24 - 41 | 56303 |\n| 2 | september 30 , 1960 | dallas cowboys | w 27 - 25 | 18500 |\n| 3 | october 9 , 1960 | st louis cardinals | w 31 - 27 | 33701 |\n| 4 | october 16 , 1960 | detroit lions | w 28 - 10 | 38065 |\n| 5 | october 23 , 1960 | cleveland browns | w 31 - 29 | 64850 |\n| 7 | november 6 , 1960 | pittsburgh steelers | w 34 - 7 | 58324 |\n| 8 | november 13 , 1960 | washington redskins | w 19 - 13 | 39361 |\n| 9 | november 20 , 1960 | new york giants | w 17 - 10 | 63571 |\n| 10 | november 27 , 1960 | new york giants | w 31 - 23 | 60547 |\n| 11 | december 4 , 1960 | st louis cardinals | w 20 - 6 | 21358 |\n| 12 | december 11 , 1960 | pittsburgh steelers | l 21 - 27 | 22101 |\n| 13 | december 18 , 1960 | washington redskins | w 38 - 28 | 20558 |" + } + ] + }, + { + "id": "table_recognition_train_item_68212", + "image": "table_instructV/images/TabFact_2-12886178-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| club | played | drawn | lost | points for | points against | tries for | tries against | try bonus | losing bonus |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| club | played | drawn | lost | points for | points against | tries for | tries against | try bonus | losing bonus |\n| rhymney rfc | 20 | 0 | 2 | 553 | 261 | 79 | 30 | 140 | 86 |\n| garndiffaith rfc | 20 | 1 | 2 | 864 | 299 | 119 | 36 | 141 | 85 |\n| pill harriers rfc | 20 | 1 | 3 | 705 | 309 | 98 | 34 | 122 | 80 |\n| pontypool united rfc | 20 | 0 | 7 | 542 | 308 | 72 | 38 | 105 | 67 |\n| newport hsob rfc | 20 | 0 | 8 | 538 | 436 | 72 | 62 | 91 | 58 |\n| risca rfc | 20 | 0 | 11 | 524 | 488 | 66 | 62 | 74 | 47 |\n| tredegar ironsides rfc | 20 | 0 | 12 | 310 | 499 | 43 | 71 | 22 | 36 |\n| abergavenny rfc | 20 | 0 | 14 | 385 | 497 | 54 | 67 | 53 | 32 |\n| abertillery rfc | 20 | 0 | 15 | 287 | 588 | 37 | 78 | 13 | 24 |\n| croesyceiliog rfc | 20 | 0 | 16 | 326 | 653 | 37 | 92 | 13 | 20 |\n| blaina rfc | 20 | 0 | 19 | 234 | 930 | 26 | 133 | 03 | 7 |\n| newport saracens rfc | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 00 | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_30847", + "image": "table_instructV/images/TABMWP_1152.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $295 | 14,400 | 5,400 |\n| $375 | 12,100 | 9,300 |\n| $455 | 9,800 | 13,200 |\n| $535 | 7,500 | 17,100 |\n| $615 | 5,200 | 21,000 |" + } + ] + }, + { + "id": "table_recognition_train_item_112337", + "image": "table_instructV/images/Rotowire_train_table_511.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 76ers | Philadelphia | 85 | 18 | 20 | 24 | 23 | 14 | 43 | 29 | 46 | 63 | 20 | 0 | 12 | | | | |\n| Pacers | Indiana | 112 | 23 | 29 | 32 | 28 | 28 | 48 | 18 | 46 | 80 | 44 | 7 | 5 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| TJ McConnell | 20 | 16 | 6 | 3 | 7-9 | 78% | 2-3 | 67% | 0-0 | 0% | 0 | 5 | 0 | 0 | 6 | 0 | G | Philadelphia |\n| Jahlil Okafor | 31 | 14 | 6 | 0 | 6-11 | 55% | 0-0 | 0% | 2-4 | 50% | 1 | 3 | 0 | 1 | 5 | 1 | C | Philadelphia |\n| Jerami Grant | 29 | 13 | 4 | 1 | 4-6 | 67% | 0-1 | 0% | 5-6 | 83% | 0 | 2 | 3 | 2 | 2 | 1 | F | Philadelphia |\n| Phil Pressey | 19 | 9 | 3 | 5 | 4-6 | 67% | 1-1 | 100% | 0-0 | 0% | 1 | 3 | 0 | 0 | 3 | 2 | N/A | Philadelphia |\n| JaKarr Sampson | 19 | 8 | 3 | 0 | 3-4 | 75% | 0-0 | 0% | 2-4 | 50% | 0 | 3 | 0 | 0 | 3 | 2 | N/A | Philadelphia |\n| Robert Covington | 23 | 8 | 5 | 1 | 4-13 | 31% | 0-5 | 0% | 0-0 | 0% | 2 | 4 | 1 | 0 | 5 | 2 | N/A | Philadelphia |\n| Nik Stauskas | 21 | 7 | 1 | 1 | 3-8 | 38% | 1-4 | 25% | 0-0 | 0% | 1 | 2 | 1 | 1 | 0 | 2 | G | Philadelphia |\n| Isaiah Canaan | 17 | 3 | 0 | 0 | 1-5 | 20% | 1-5 | 20% | 0-0 | 0% | 0 | 1 | 1 | 0 | 0 | 0 | N/A | Philadelphia |\n| Hollis Thompson | 27 | 3 | 9 | 2 | 1-9 | 11% | 0-6 | 0% | 1-2 | 50% | 3 | 3 | 0 | 2 | 7 | 5 | N/A | Philadelphia |\n| Christian Wood | 11 | 2 | 3 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 2 | 0 | 3 | 2 | N/A | Philadelphia |\n| Nerlens Noel | 24 | 2 | 3 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 2 | 0 | F | Philadelphia |\n| Richaun Holmes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Carl Landry | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| Paul George | 32 | 34 | 8 | 5 | 13-24 | 54% | 5-10 | 50% | 3-4 | 75% | 4 | 2 | 0 | 1 | 7 | 3 | F | Indiana |\n| CJ Miles | 30 | 20 | 2 | 4 | 7-12 | 58% | 4-7 | 57% | 2-2 | 100% | 1 | 1 | 0 | 1 | 1 | 2 | G | Indiana |\n| Chase Budinger | 31 | 15 | 6 | 1 | 5-13 | 39% | 1-4 | 25% | 4-4 | 100% | 1 | 1 | 2 | 3 | 3 | 2 | N/A | Indiana |\n| Jordan Hill | 21 | 10 | 7 | 1 | 4-9 | 44% | 0-0 | 0% | 2-3 | 67% | 1 | 4 | 1 | 5 | 2 | 3 | N/A | Indiana |\n| Glenn Robinson | 21 | 9 | 3 | 0 | 3-5 | 60% | 1-1 | 100% | 2-3 | 67% | 2 | 1 | 0 | 0 | 3 | 0 | N/A | Indiana |\n| Lavoy Allen | 19 | 7 | 6 | 2 | 3-5 | 60% | 0-0 | 0% | 1-2 | 50% | 1 | 1 | 1 | 3 | 3 | 2 | F | Indiana |\n| Monta Ellis | 27 | 7 | 3 | 9 | 3-7 | 43% | 1-2 | 50% | 0-0 | 0% | 2 | 5 | 2 | 0 | 3 | 1 | G | Indiana |\n| Joe Young | 21 | 4 | 1 | 3 | 1-8 | 13% | 0-2 | 0% | 2-2 | 100% | 2 | 2 | 0 | 0 | 1 | 0 | N/A | Indiana |\n| Solomon Hill | 11 | 4 | 5 | 1 | 2-5 | 40% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 5 | 1 | N/A | Indiana |\n| Ian Mahinmi | 28 | 2 | 7 | 2 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 3 | 0 | 2 | 3 | 4 | 3 | C | Indiana |\n| Rodney Stuckey | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| George Hill | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Myles Turner | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |" + } + ] + }, + { + "id": "table_recognition_train_item_112269", + "image": "table_instructV/images/Rotowire_train_table_477.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Trail Blazers | Portland | 102 | 21 | 30 | 24 | 27 | 25 | 48 | 12 | 43 | 88 | 32 | 5 | 3 | | | | |\n| Hornets | Charlotte | 100 | 35 | 29 | 21 | 15 | 16 | 38 | 13 | 47 | 85 | 44 | 3 | 5 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Trail Blazers | | | | | | | | | | | | | | | | | | |\n| Damian Lillard | 39 | 29 | 4 | 7 | 12-21 | 57% | 5-8 | 63% | 0-0 | 0% | 2 | 6 | 0 | 1 | 3 | 1 | G | Portland |\n| LaMarcus Aldridge | 39 | 25 | 14 | 3 | 10-21 | 48% | 0-0 | 0% | 5-5 | 100% | 0 | 0 | 0 | 4 | 10 | 1 | F | Portland |\n| Wesley Matthews | 36 | 16 | 3 | 7 | 5-15 | 33% | 2-9 | 22% | 4-5 | 80% | 1 | 1 | 0 | 1 | 2 | 1 | G | Portland |\n| Chris Kaman | 18 | 12 | 8 | 2 | 6-10 | 60% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 2 | 3 | 5 | 3 | N/A | Portland |\n| Steve Blake | 25 | 5 | 4 | 2 | 1-5 | 20% | 1-4 | 25% | 2-2 | 100% | 2 | 1 | 1 | 1 | 3 | 5 | N/A | Portland |\n| Joel Freeland | 16 | 5 | 7 | 0 | 2-5 | 40% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 3 | 4 | 4 | N/A | Portland |\n| Robin Lopez | 23 | 4 | 4 | 0 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 1 | 3 | 2 | C | Portland |\n| CJ McCollum | 17 | 4 | 2 | 1 | 1-4 | 25% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 0 | 0 | 2 | 2 | N/A | Portland |\n| Allen Crabbe | 22 | 2 | 2 | 2 | 1-4 | 25% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 0 | F | Portland |\n| Dorell Wright | 6 | 0 | 0 | 1 | 0-3 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Portland |\n| Meyers Leonard | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Thomas Robinson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Will Barton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Al Jefferson | 35 | 22 | 2 | 1 | 9-18 | 50% | 0-0 | 0% | 4-4 | 100% | 0 | 2 | 0 | 0 | 2 | 1 | C | Charlotte |\n| Kemba Walker | 36 | 16 | 4 | 3 | 6-16 | 38% | 1-4 | 25% | 3-4 | 75% | 2 | 2 | 0 | 0 | 4 | 1 | G | Charlotte |\n| Lance Stephenson | 38 | 14 | 14 | 3 | 5-10 | 50% | 2-4 | 50% | 2-4 | 50% | 1 | 2 | 0 | 0 | 14 | 2 | G | Charlotte |\n| Michael Kidd-Gilchrist | 20 | 12 | 5 | 1 | 4-6 | 67% | 0-0 | 0% | 4-4 | 100% | 0 | 0 | 0 | 1 | 4 | 3 | F | Charlotte |\n| Brian Roberts | 12 | 12 | 1 | 0 | 4-7 | 57% | 2-2 | 100% | 2-2 | 100% | 0 | 3 | 0 | 1 | 0 | 1 | N/A | Charlotte |\n| Gary Neal | 24 | 9 | 2 | 3 | 3-7 | 43% | 0-2 | 0% | 3-3 | 100% | 1 | 1 | 0 | 0 | 2 | 1 | N/A | Charlotte |\n| PJ Hairston | 14 | 8 | 0 | 1 | 2-4 | 50% | 2-3 | 67% | 2-2 | 100% | 1 | 0 | 0 | 0 | 0 | 2 | N/A | Charlotte |\n| Cody Zeller | 27 | 7 | 8 | 1 | 2-4 | 50% | 0-0 | 0% | 3-4 | 75% | 0 | 2 | 1 | 3 | 5 | 3 | N/A | Charlotte |\n| Marvin Williams | 21 | 0 | 1 | 3 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 1 | 1 | F | Charlotte |\n| Jason Maxiell | 12 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 1 | 0 | 1 | N/A | Charlotte |\n| Gerald Henderson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Bismack Biyombo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Jannero Pargo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |" + } + ] + }, + { + "id": "table_recognition_train_item_34210", + "image": "table_instructV/images/TABMWP_37019.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| | Red car | Blue car |\n| --- | --- | --- |\n| Red hair | 2 | 2 |\n| Blonde hair | 3 | 8 |" + } + ] + }, + { + "id": "table_recognition_train_item_57732", + "image": "table_instructV/images/TabFact_2-17350255-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| year (ceremony) | film title used in nomination | original title | director | result |\n| --- | --- | --- | --- | --- |\n| 1957 (30th) | amina | amina (阿美娜) | yuan congmei | not nominated |\n| 1964 (37th) | lovers' rock | qíngrén shí (情人石) | pan lei | not nominated |\n| 1966 (39th) | the silent wife | yǎnǚ qíngxīn (啞女情深) | lee hsing | not nominated |\n| 1972 (45th) | execution in autumn | qiūjué (秋決) | lee hsing | not nominated |\n| 1976 (49th) | the 800 heroes | bābǎi zhuàngshì (八百壯士) | ting shan - si | not nominated |\n| 1980 (53rd) | the legend of the six dynasty | liùcháo guàitán (六朝怪談) | wong guk - gam | not nominated |\n| 1981 (54th) | if i were for real | jiǎrú wǒshì zhēnde (假如我是真的) | wang toon | not nominated |\n| 1982 (55th) | the battle for the republic of china | xīnhài shuāngshí (辛亥雙十) | ting shan - si | not nominated |\n| 1983 (56th) | growing up | xiǎo bì de gùshì (小畢的故事) | chen kunhou | not nominated |\n| 1984 (55th) | old mo 's second spring | lǎo mò de dì èr ge chūntiān (老莫的第二個春天) | lee you - ning | not nominated |\n| 1985 (58th) | kuei - mei , a woman | wǒ zhèyàng guòle yìshēng (我這樣過了一生) | chang yi | not nominated |\n| 1986 (59th) | the heroic pioneers | tángshān guò táiwān (唐山過台灣) | lee shing | not nominated |\n| 1987 (60th) | osmanthus alley | guìhuā xiàng (桂花巷) | chen kunhou | not nominated |\n| 1988 (61st) | my mother 's teahouse | chūnqiū cháshì (春秋茶室) | chen kunhou | not nominated |\n| 1989 (62nd) | a city of sadness | bēiqíng chéngshì (悲情城市) | hou hsiao - hsien | not nominated |\n| 1990 (63rd) | song of the exile | kètú qiūhèn (客途秋恨) | ann hui | not nominated |\n| 1991 (64th) | a brighter summer day | gúlǐngjiē shàonián shārén shìjiàn (牯嶺街少年殺人事件) | edward yang | not nominated |\n| 1992 (65th) | peach blossom land | ànliàn táohuāyuán (暗戀桃花源) | stan lai | not nominated |\n| 1993 (66th) | the wedding banquet | xǐyàn (喜宴) | ang lee | nominee |\n| 1994 (67th) | eat drink man woman | yǐnshí nánnǚ (飲食男女) | ang lee | nominee |\n| 1995 (68th) | super citizen ko | chāojí dàguómín (超級大國民) | wan jen | not nominated |\n| 1996 (69th) | tonight nobody goes home | jīntiān bùhuíjiā (今天不回家) | sylvia chang | not nominated |\n| 1997 (70th) | yours and mine | wǒde shénjīngbìng (我的神經病) | wang siu - di | not nominated |\n| 1998 (71st) | flowers of shanghai | hāi shàng huā (海上花) | hou hsiao - hsien | not nominated |\n| 1999 (72nd) | march of happiness | tiānmǎ cháfáng (天馬茶房) | lin cheng - sheng | not nominated |\n| 2000 (73rd) | crouching tiger , hidden dragon | wòhǔ cánglóng (臥虎藏龍) | ang lee | won academy award |\n| 2001 (74th) | the cabbie | yùnzhuǎnshǒu zhī liàn (運轉手之戀) | chen yiwen , huakun zhang | not nominated |\n| 2002 (75th) | the best of times | měilì shíguāng (美麗時光) | chang tso - chi | not nominated |\n| 2003 (76th) | goodbye , dragon inn | búsàn (不散) | tsai ming - liang | not nominated |\n| 2004 (77th) | 20 30 40 | 20 30 40 | sylvia chang | not nominated |\n| 2005 (78th) | the wayward cloud | tiānbiān yìduǒyún (天邊一朵雲) | tsai ming - liang | not nominated |\n| 2006 (79th) | blue cha cha | shēnhǎi (深海) | chen wen - tang | not nominated |\n| 2007 (80th) | island etude | liànxíqǔ (練習曲) | chen huai - en | not nominated |\n| 2008 (81st) | cape no 7 | háijiǎo qīhào (海角七號) | wei te - sheng | not nominated |\n| 2009 (82nd) | no puedo vivir sin ti | bùnéng méiyǒu nǐ (不能沒有你) | leon dai | not nominated |\n| 2010 (83rd) | monga | báng - kah (艋舺) | doze niu | not nominated |\n| 2011 (84th) | warriors of the rainbow : seediq bale | sài dé kè．ba lái (賽德克‧巴萊) | wei te - sheng | made january shortlist |\n| 2012 (85th) | touch of the light | 逆光飛翔 | chang rong - ji | not nominated |\n| 2013 (86th) | soul | 失魂 | chung mong - hong | tbd |" + } + ] + }, + { + "id": "table_recognition_train_item_118021", + "image": "table_instructV/images/Rotowire_train_table_3353.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pacers | Indiana | 104 | 30 | 21 | 21 | 32 | 18 | 51 | 13 | 43 | 76 | 29 | 10 | 5 | | | | |\n| Bulls | Chicago | 92 | 18 | 24 | 21 | 29 | 21 | 47 | 15 | 35 | 85 | 42 | 9 | 5 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| Paul George | 39 | 33 | 8 | 2 | 11-24 | 46% | 4-10 | 40% | 7-7 | 100% | 0 | 5 | 0 | 0 | 8 | 4 | F | Indiana |\n| CJ Miles | 32 | 16 | 3 | 1 | 6-12 | 50% | 3-8 | 38% | 1-1 | 100% | 0 | 0 | 0 | 0 | 3 | 4 | F | Indiana |\n| Ian Mahinmi | 27 | 15 | 9 | 4 | 4-8 | 50% | 0-0 | 0% | 7-10 | 70% | 1 | 2 | 1 | 3 | 6 | 4 | C | Indiana |\n| Monta Ellis | 30 | 14 | 5 | 5 | 5-13 | 39% | 0-3 | 0% | 4-6 | 67% | 3 | 0 | 0 | 2 | 3 | 0 | G | Indiana |\n| Lavoy Allen | 27 | 12 | 10 | 0 | 6-10 | 60% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 2 | 1 | 9 | 1 | N/A | Indiana |\n| Rodney Stuckey | 28 | 8 | 3 | 0 | 2-6 | 33% | 1-1 | 100% | 3-4 | 75% | 2 | 3 | 0 | 0 | 3 | 4 | N/A | Indiana |\n| George Hill | 32 | 6 | 10 | 3 | 3-8 | 38% | 0-2 | 0% | 0-1 | 0% | 1 | 1 | 1 | 2 | 8 | 1 | G | Indiana |\n| Chase Budinger | 11 | 0 | 0 | 0 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Indiana |\n| Solomon Hill | 12 | 0 | 3 | 3 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 0 | N/A | Indiana |\n| Glenn Robinson | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Indiana |\n| Joe Young | 2 | 0 | 0 | 0 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Indiana |\n| Jordan Hill | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Myles Turner | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Nikola Mirotic | 29 | 25 | 7 | 2 | 8-14 | 57% | 2-4 | 50% | 7-8 | 88% | 0 | 2 | 1 | 2 | 5 | 4 | F | Chicago |\n| Jimmy Butler | 40 | 16 | 5 | 5 | 4-10 | 40% | 2-4 | 50% | 6-6 | 100% | 2 | 4 | 2 | 0 | 5 | 2 | G | Chicago |\n| Kirk Hinrich | 22 | 11 | 1 | 2 | 3-7 | 43% | 3-4 | 75% | 2-2 | 100% | 0 | 1 | 0 | 0 | 1 | 3 | N/A | Chicago |\n| Derrick Rose | 31 | 10 | 6 | 5 | 4-16 | 25% | 2-5 | 40% | 0-0 | 0% | 1 | 3 | 1 | 1 | 5 | 1 | G | Chicago |\n| Pau Gasol | 27 | 9 | 11 | 4 | 4-16 | 25% | 0-1 | 0% | 1-2 | 50% | 0 | 1 | 0 | 3 | 8 | 4 | C | Chicago |\n| E'Twaun Moore | 27 | 7 | 1 | 2 | 3-7 | 43% | 0-0 | 0% | 1-2 | 50% | 3 | 0 | 0 | 0 | 1 | 3 | N/A | Chicago |\n| Tony Snell | 16 | 6 | 3 | 0 | 2-7 | 29% | 2-4 | 50% | 0-0 | 0% | 1 | 1 | 0 | 0 | 3 | 2 | F | Chicago |\n| Taj Gibson | 19 | 4 | 6 | 1 | 2-5 | 40% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 1 | 1 | 5 | 2 | N/A | Chicago |\n| Bobby Portis | 2 | 2 | 1 | 0 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Chicago |\n| Cristiano Felicio | 2 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Chicago |\n| Joakim Noah | 19 | 0 | 5 | 0 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 2 | 1 | 4 | 2 | N/A | Chicago |\n| Doug McDermott | 6 | 0 | 1 | 0 | 0-4 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | Chicago |\n| Aaron Brooks | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |" + } + ] + }, + { + "id": "table_recognition_train_item_101245", + "image": "table_instructV/images/ToTTo_train_table_5245.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Rank | City | State | Population |\n| --- | --- | --- | --- |\n| 1 | Kuala Lumpur | Federal Territory (Malaysia) Federal Territories | 1,588,750 |\n| 2 | George Town | Penang | 708,127 |\n| 3 | Ipoh | Perak | 657,892 |\n| 4 | Petaling Jaya | Selangor | 613,977 |\n| 5 | Shah Alam | Selangor | 541,306 |\n| 6 | Iskandar Puteri | Johor | 529,074 |\n| 7 | Seremban | Negeri Sembilan | 515,490 |\n| 8 | Johor Bahru | Johor | 497,067 |\n| 9 | Malacca | Malacca | 484,885 |\n| 10 | Kota Kinabalu | Sabah | 452,058 |\n| 11 | Alor Setar | Kedah | 405,523 |\n| 12 | Kuala Terengganu | Terengganu | 337,553 |\n| 13 | Kuching | Sarawak | 325,132 |\n| 14 | Miri | Sarawak | 234,541 |" + } + ] + }, + { + "id": "table_recognition_train_item_55432", + "image": "table_instructV/images/TabFact_2-18569011-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| rank | lane | athlete | nationality | time | react |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 3 | brian dzingai | zimbabwe | 20.25 | 0.172 |\n| 2 | 5 | christian malcolm | great britain | 20.42 | 0.178 |\n| 3 | 4 | christopher williams | jamaica | 20.53 | 0.166 |\n| 4 | 8 | shinji takahira | japan | 20.58 | 0.175 |\n| 5 | 2 | amr ibrahim mostafa seoud | egypt | 20.75 | 0.172 |\n| 6 | 9 | thuso mpuang | south africa | 20.87 | 0.166 |\n| 7 | 6 | daniel grueso | colombia | 21.15 | 0.232 |\n| 8 | 7 | arnaldo abrantes | portugal | 21.46 | 0.173 |" + } + ] + }, + { + "id": "table_recognition_train_item_32006", + "image": "table_instructV/images/TABMWP_13347.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Month | Change in water level (in.) |\n| --- | --- |\n| April | -6 |\n| May | 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_107803", + "image": "table_instructV/images/ToTTo_train_table_32720.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Win | 14–9 | Bevon Lewis | KO (punch) | UFC 232 | December 29, 2018 | 3 | 1:32 | Inglewood, California, United States | |\n| Loss | 13–9 | Paulo Costa | TKO (punches) | UFC 226 | July 7, 2018 | 2 | 2:38 | Las Vegas, Nevada, United State | |\n| Win | 13–8 | Krzysztof Jotko | TKO (punches) | UFC Fight Night: Rockhold vs. Branch | September 16, 2017 | 2 | 2:25 | Pittsburgh, Pennsylvania, United States | Performance of the Night. |\n| Loss | 12–8 | Gegard Mousasi | TKO (punches) | UFC Fight Night: Mousasi vs. Hall 2 | November 19, 2016 | 1 | 4:37 | Belfast, Northern Ireland | |\n| Loss | 12–7 | Derek Brunson | TKO (punches) | UFC Fight Night: Poirier vs. Johnson | September 17, 2016 | 1 | 1:41 | Hidalgo, Texas, United States | |\n| Loss | 12–6 | Robert Whittaker | Decision (unanimous) | UFC 193 | November 15, 2015 | 3 | 5:00 | Melbourne, Australia | |\n| Win | 12–5 | Gegard Mousasi | TKO (flying knee and punches) | UFC Fight Night: Barnett vs. Nelson | September 27, 2015 | 2 | 0:25 | Saitama, Japan | Performance of the Night. |\n| Win | 11–5 | Oluwale Bamgbose | TKO (punches) | UFC Fight Night: Teixeira vs. Saint Preux | August 8, 2015 | 1 | 2:32 | Nashville, Tennessee, United States | |\n| Loss | 10–5 | Rafael Natal | Decision (split) | UFC 187 | May 23, 2015 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 10–4 | Ron Stallings | TKO (doctor stoppage) | UFC Fight Night: McGregor vs. Siver | January 18, 2015 | 1 | 3:37 | Boston, Massachusetts, United States | |\n| Win | 9–4 | Thiago Santos | Decision (unanimous) | UFC 175 | July 5, 2014 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 8–4 | Chris Leben | TKO (retirement) | UFC 168 | December 28, 2013 | 1 | 5:00 | Las Vegas, Nevada, United States | |\n| Loss | 7–4 | John Howard | Decision (split) | UFC Fight Night: Shogun vs. Sonnen | August 17, 2013 | 3 | 5:00 | Boston, Massachusetts, United States | |\n| Loss | 7–3 | Kelvin Gastelum | Decision (split) | The Ultimate Fighter: Team Jones vs. Team Sonnen Finale | April 13, 2013 | 3 | 5:00 | Las Vegas, Nevada, United States | The Ultimate Fighter 17 Middleweight Tournament Final. |\n| Win | 7–2 | Nodar Kuduxashvili | Decision (unanimous) | Ring of Combat 41 | June 15, 2012 | 3 | 5:00 | Atlantic City, New Jersey, United States | Won the vacant Ring of Combat Middleweight Championship. |\n| Win | 6–2 | Daniel Akinyemi | Submission (heel hook) | Ring of Combat 39 | February 10, 2012 | 1 | 4:48 | Atlantic City, New Jersey, United States | |\n| Win | 5–2 | Aung La Nsang | KO (punch) | Ring of Combat 35 | April 8, 2011 | 3 | 1:37 | Atlantic City, New Jersey, United States | |\n| Loss | 4–2 | Costas Philippou | Decision (majority) | Ring of Combat 34 | February 4, 2011 | 3 | 4:00 | Atlantic City, New Jersey, United States | |\n| Loss | 4–1 | Chris Weidman | TKO (punches) | Ring of Combat 31 | September 24, 2010 | 1 | 3:06 | Atlantic City, New Jersey, United States | Lost the Ring of Combat Middleweight Championship. |\n| Win | 4–0 | Roger Carroll | Submission (punch) | Ring of Combat 30 | June 11, 2010 | 1 | 2:41 | Atlantic City, New Jersey, United States | Won the vacant Ring of Combat Middleweight Championship. |\n| Win | 3–0 | Mitch Whitesel | TKO (punches) | Ring of Combat 27 | November 20, 2009 | 3 | 2:34 | Atlantic City, New Jersey, United States | |\n| Win | 2–0 | Edwin Aguilar | TKO (head kicks) | Bellator 11 | June 12, 2009 | 3 | 4:31 | Uncasville, Connecticut, United States | Middleweight debut. |\n| Win | 1–0 | Mike Iannone | KO (punches) | Ring of Combat 9 | October 29, 2005 | 1 | 0:44 | Asbury Park, New Jersey, United States | |" + } + ] + }, + { + "id": "table_recognition_train_item_114661", + "image": "table_instructV/images/Rotowire_train_table_1673.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Spurs | San Antonio | 95 | 28 | 20 | 28 | 19 | 25 | 54 | 11 | 41 | 70 | 33 | 15 | 4 | | | | |\n| Bucks | Milwaukee | 70 | 21 | 17 | 17 | 15 | 17 | 44 | 16 | 33 | 83 | 21 | 7 | 12 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Tim Duncan | 20 | 16 | 10 | 1 | 7-11 | 64% | 0-0 | 0% | 2-2 | 100% | 1 | 2 | 0 | 3 | 7 | 1 | C | San Antonio |\n| Patty Mills | 22 | 13 | 3 | 3 | 5-11 | 46% | 3-6 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 0 | N/A | San Antonio |\n| Kawhi Leonard | 25 | 13 | 3 | 4 | 3-12 | 25% | 0-1 | 0% | 7-8 | 88% | 0 | 0 | 0 | 2 | 1 | 1 | F | San Antonio |\n| Boris Diaw | 25 | 11 | 7 | 3 | 5-9 | 56% | 1-1 | 100% | 0-2 | 0% | 0 | 2 | 0 | 3 | 4 | 1 | N/A | San Antonio |\n| Jonathon Simmons | 20 | 8 | 1 | 2 | 4-6 | 67% | 0-1 | 0% | 0-1 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | San Antonio |\n| Tony Parker | 18 | 8 | 1 | 3 | 2-6 | 33% | 1-1 | 100% | 3-4 | 75% | 2 | 1 | 0 | 0 | 1 | 1 | G | San Antonio |\n| LaMarcus Aldridge | 23 | 6 | 9 | 0 | 3-10 | 30% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 5 | 2 | 7 | 2 | F | San Antonio |\n| Rasual Butler | 10 | 5 | 2 | 1 | 2-4 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 1 | 0 | 2 | 0 | N/A | San Antonio |\n| Manu Ginobili | 12 | 5 | 0 | 3 | 2-5 | 40% | 1-2 | 50% | 0-0 | 0% | 1 | 1 | 0 | 0 | 0 | 1 | N/A | San Antonio |\n| Kyle Anderson | 19 | 4 | 5 | 0 | 1-3 | 33% | 0-1 | 0% | 2-3 | 67% | 3 | 2 | 1 | 0 | 5 | 2 | N/A | San Antonio |\n| David West | 18 | 4 | 8 | 2 | 2-6 | 33% | 0-0 | 0% | 0-0 | 0% | 2 | 0 | 2 | 1 | 7 | 0 | N/A | San Antonio |\n| Danny Green | 21 | 2 | 4 | 2 | 1-5 | 20% | 0-4 | 0% | 0-0 | 0% | 2 | 0 | 0 | 0 | 4 | 3 | G | San Antonio |\n| Matt Bonner | 7 | 0 | 1 | 1 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | San Antonio |\n| Bucks | | | | | | | | | | | | | | | | | | |\n| Khris Middleton | 30 | 16 | 3 | 3 | 6-11 | 55% | 1-2 | 50% | 3-3 | 100% | 0 | 2 | 0 | 0 | 3 | 2 | F | Milwaukee |\n| Greg Monroe | 28 | 14 | 7 | 0 | 6-13 | 46% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 1 | 1 | 6 | 2 | C | Milwaukee |\n| Giannis Antetokounmpo | 26 | 7 | 4 | 2 | 2-8 | 25% | 0-1 | 0% | 3-4 | 75% | 0 | 2 | 2 | 1 | 3 | 2 | F | Milwaukee |\n| Jabari Parker | 26 | 7 | 7 | 0 | 1-7 | 14% | 0-1 | 0% | 5-6 | 83% | 1 | 1 | 0 | 1 | 6 | 2 | N/A | Milwaukee |\n| John Henson | 13 | 6 | 2 | 0 | 2-2 | 100% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 2 | 0 | 2 | 2 | N/A | Milwaukee |\n| Rashad Vaughn | 17 | 6 | 4 | 1 | 2-9 | 22% | 2-5 | 40% | 0-0 | 0% | 1 | 2 | 0 | 1 | 3 | 3 | N/A | Milwaukee |\n| Michael Carter-Williams | 30 | 4 | 5 | 4 | 2-10 | 20% | 0-1 | 0% | 0-0 | 0% | 2 | 1 | 0 | 1 | 4 | 1 | N/A | Milwaukee |\n| Tyler Ennis | 24 | 4 | 3 | 1 | 2-8 | 25% | 0-3 | 0% | 0-0 | 0% | 0 | 2 | 1 | 0 | 3 | 2 | G | Milwaukee |\n| Johnny O'Bryant III | 7 | 4 | 2 | 0 | 2-4 | 50% | 0-0 | 0% | 0-1 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Milwaukee |\n| O.J. Mayo | 24 | 2 | 6 | 3 | 1-6 | 17% | 0-1 | 0% | 0-0 | 0% | 1 | 3 | 0 | 1 | 5 | 2 | G | Milwaukee |\n| Chris Copeland | 7 | 0 | 0 | 3 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Milwaukee |\n| Miles Plumlee | 7 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 1 | N/A | Milwaukee |\n| Jerryd Bayless | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |" + } + ] + }, + { + "id": "table_recognition_train_item_101155", + "image": "table_instructV/images/ToTTo_train_table_4884.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Year | Title | Cast | Director |\n| --- | --- | --- | --- |\n| 2015 | Maya | Aari, Nayanthara | Ashwin Saravanan |\n| 2017 | Maanagaram | Sundeep, Sri, Regina Cassandra | Lokesh Kanagaraj |\n| 2018 | Monster | SJ Suryah, Priya Bhavani Shankar, Karunakaran | Nelson Venkatesan |" + } + ] + }, + { + "id": "table_recognition_train_item_61466", + "image": "table_instructV/images/TabFact_2-16714751-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | september 7 , 1986 | tampa bay buccaneers | w 31 - 7 | 50780 |\n| 2 | september 14 , 1986 | los angeles rams | l 13 - 16 | 65195 |\n| 3 | september 21 , 1986 | new orleans saints | w 26 - 17 | 58297 |\n| 4 | september 28 , 1986 | miami dolphins | w 31 - 16 | 70264 |\n| 5 | october 5 , 1986 | indianapolis colts | w 35 - 15 | 57252 |\n| 6 | october 12 , 1986 | minnesota vikings | l 24 - 27 (ot) | 58637 |\n| 7 | october 19 , 1986 | atlanta falcons | t 10 - 10 (ot) | 55306 |\n| 8 | october 26 , 1986 | green bay packers (at milwaukee) | w 31 - 17 | 50557 |\n| 9 | november 2 , 1986 | new orleans saints | l 10 - 23 | 53234 |\n| 10 | november 9 , 1986 | st louis cardinals | w 43 - 17 | 59172 |\n| 11 | november 17 , 1986 (mon) | washington redskins | l 6 - 14 | 54774 |\n| 12 | november 23 , 1986 | atlanta falcons | w 20 - 0 | 58747 |\n| 13 | december 1 , 1986 (mon) | new york giants | l 17 - 21 | 59777 |\n| 14 | december 7 , 1986 | new york jets | w 24 - 10 | 58091 |\n| 15 | december 14 , 1986 | new england patriots | w 29 - 24 | 60787 |\n| 16 | december 19 , 1986 (fri) | los angeles rams | w 24 - 14 | 60366 |" + } + ] + }, + { + "id": "table_recognition_train_item_69450", + "image": "table_instructV/images/TabFact_2-11206787-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| team | stadium | capacity | highest | lowest | average |\n| --- | --- | --- | --- | --- | --- |\n| ross county | victoria park | 6700 | 3716 | 1511 | 2247 |\n| raith rovers | stark 's park | 10104 | 2357 | 1349 | 1759 |\n| ayr united | somerset park | 11998 | 1345 | 971 | 1137 |\n| airdrie united | new broomfield | 10171 | 1645 | 611 | 981 |\n| queen 's park | hampden park | 52500 | 1211 | 431 | 712 |\n| peterhead | balmoor | 4000 | 926 | 462 | 694 |\n| alloa athletic | recreation park | 3100 | 1053 | 441 | 602 |\n| cowdenbeath | central park | 4370 | 1953 | 244 | 519 |\n| brechin city | glebe park | 3960 | 669 | 345 | 489 |\n| berwick rangers | shielfield park | 4131 | 778 | 259 | 479 |" + } + ] + }, + { + "id": "table_recognition_train_item_50662", + "image": "table_instructV/images/TAT-QA_5c8944fd-4e98-4192-97eb-65415bfd012f.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | 2019 | 2018 |\n| --- | --- | --- |\n| Beginning balance | $65,542 | $22,173 |\n| Provision charged to expense | 29,849 | 55,152 |\n| Deductions | (40,352) | (11,783) |\n| Ending balance | 55,039 | $65,542 |" + } + ] + }, + { + "id": "table_recognition_train_item_31981", + "image": "table_instructV/images/TABMWP_13100.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of bins | Number of blue blocks |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | 10 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_111691", + "image": "table_instructV/images/Rotowire_train_table_188.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hawks | Atlanta | 117 | 22 | 38 | 27 | 30 | 33 | 37 | 9 | 53 | 83 | 33 | 20 | 12 | | | | |\n| Knicks | New York | 98 | 32 | 31 | 12 | 23 | 25 | 42 | 22 | 48 | 77 | 29 | 14 | 17 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hawks | | | | | | | | | | | | | | | | | | |\n| Paul Millsap | 33 | 22 | 7 | 7 | 8-16 | 50% | 1-3 | 33% | 5-8 | 63% | 3 | 1 | 1 | 4 | 3 | 3 | F | Atlanta |\n| Al Horford | 31 | 19 | 6 | 7 | 9-15 | 60% | 0-2 | 0% | 1-1 | 100% | 2 | 1 | 2 | 1 | 5 | 1 | C | Atlanta |\n| Mike Scott | 21 | 18 | 2 | 1 | 7-8 | 88% | 2-2 | 100% | 2-2 | 100% | 1 | 1 | 1 | 1 | 1 | 0 | N/A | Atlanta |\n| Jeff Teague | 26 | 17 | 2 | 4 | 6-12 | 50% | 1-2 | 50% | 4-4 | 100% | 2 | 1 | 0 | 2 | 0 | 2 | G | Atlanta |\n| Dennis Schroder | 21 | 10 | 4 | 6 | 4-9 | 44% | 0-1 | 0% | 2-2 | 100% | 2 | 0 | 0 | 0 | 4 | 0 | N/A | Atlanta |\n| Thabo Sefolosha | 28 | 9 | 5 | 1 | 4-5 | 80% | 0-1 | 0% | 1-1 | 100% | 1 | 0 | 0 | 1 | 4 | 3 | N/A | Atlanta |\n| Lamar Patterson | 16 | 7 | 3 | 2 | 3-4 | 75% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 1 | N/A | Atlanta |\n| Kent Bazemore | 27 | 6 | 4 | 4 | 2-8 | 25% | 2-6 | 33% | 0-0 | 0% | 2 | 3 | 0 | 0 | 4 | 2 | F | Atlanta |\n| Kyle Korver | 25 | 3 | 1 | 0 | 1-7 | 14% | 1-5 | 20% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 4 | G | Atlanta |\n| Shelvin Mack | 2 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Atlanta |\n| Mike Muscala | 4 | 2 | 1 | 1 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Atlanta |\n| Tiago Splitter | 4 | 2 | 1 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 1 | N/A | Atlanta |\n| Justin Holiday | 2 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Atlanta |\n| Knicks | | | | | | | | | | | | | | | | | | |\n| Carmelo Anthony | 30 | 18 | 12 | 4 | 7-12 | 58% | 0-2 | 0% | 4-7 | 57% | 0 | 4 | 1 | 2 | 10 | 2 | F | New York |\n| Lance Thomas | 25 | 12 | 4 | 0 | 6-12 | 50% | 0-3 | 0% | 0-0 | 0% | 1 | 3 | 1 | 2 | 2 | 3 | N/A | New York |\n| Derrick Williams | 22 | 12 | 5 | 0 | 5-8 | 63% | 1-2 | 50% | 1-2 | 50% | 0 | 0 | 0 | 1 | 4 | 1 | N/A | New York |\n| Langston Galloway | 26 | 11 | 4 | 4 | 3-6 | 50% | 2-4 | 50% | 3-3 | 100% | 0 | 3 | 3 | 1 | 3 | 2 | N/A | New York |\n| Arron Afflalo | 32 | 10 | 3 | 1 | 4-10 | 40% | 1-4 | 25% | 1-1 | 100% | 0 | 2 | 0 | 0 | 3 | 1 | G | New York |\n| Kristaps Porzingis | 21 | 9 | 2 | 1 | 3-10 | 30% | 1-2 | 50% | 2-2 | 100% | 0 | 2 | 1 | 1 | 1 | 1 | F | New York |\n| Robin Lopez | 20 | 9 | 4 | 2 | 4-5 | 80% | 0-0 | 0% | 1-1 | 100% | 0 | 0 | 1 | 2 | 2 | 0 | C | New York |\n| Jose Calderon | 24 | 8 | 4 | 8 | 3-5 | 60% | 2-3 | 67% | 0-0 | 0% | 2 | 0 | 1 | 1 | 3 | 1 | G | New York |\n| Kyle O'Quinn | 22 | 7 | 4 | 4 | 3-7 | 43% | 0-0 | 0% | 1-1 | 100% | 1 | 5 | 0 | 2 | 2 | 3 | N/A | New York |\n| Jerian Grant | 15 | 2 | 0 | 1 | 1-6 | 17% | 0-4 | 0% | 0-0 | 0% | 2 | 3 | 0 | 0 | 0 | 1 | N/A | New York |\n| Sasha Vujacic | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | New York |\n| Lou Amundson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Kevin Seraphin | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |" + } + ] + }, + { + "id": "table_recognition_train_item_51324", + "image": "table_instructV/images/TAT-QA_c3839707-4a28-4e9d-8962-deed14b6f0e3.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Fiscal 2018 Restructuring Plan | Workforce reduction | Facility costs | Total |\n| --- | --- | --- | --- |\n| Balance payable as at June 30, 2017 | $— | $— | $— |\n| Accruals and adjustments | 8,511 | 1,643 | 10,154 |\n| Cash payments | (8,845) | (489) | (9,334) |\n| Foreign exchange and other non-cash adjustments | 892 | 11 | 903 |\n| Balance payable as at June 30, 2018 | $558 | $1,165 | $1,723 |\n| Accruals and adjustments | (20) | 535 | 515 |\n| Cash payments | (337) | (928) | (1,265) |\n| Foreign exchange and other non-cash adjustments | (51) | (286) | (337) |\n| Balance payable as at June 30, 2019 | $150 | $486 | $636 |" + } + ] + }, + { + "id": "table_recognition_train_item_66316", + "image": "table_instructV/images/TabFact_2-1082929-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| club | position in 2012 - 13 | first season in top division | number of seasons in ligue 1 | first season of current spell in top division | ligue 1 titles | last ligue 1 title |\n| --- | --- | --- | --- | --- | --- | --- |\n| ajaccio | 004 17th | 2011 - 12 | 2 | 2011 - 12 | 0 | - |\n| bastia | 004 13th | 1968 - 69 | 30 | 2012 - 13 | 0 | - |\n| bordeaux | 004 7th | 1945 - 46 | 60 | 1992 - 93 | 6 | 2008 - 09 |\n| evian b | yyy 16th | 2011 - 12 | 3 | 2011 - 12 | 0 | - |\n| guingamp | 004 ligue 2 : 2nd | 1945 - 46 | 7 | 2013 - 14 | 0 | - |\n| lille | 004 6th | 1945 - 46 | 53 | 2000 - 01 | 3 | 2010 - 11 |\n| lorient | 004 8th | 1998 - 99 | 9 | 2006 - 07 | 0 | - |\n| lyon | 004 3rd | 1951 - 52 | 54 | 1989 - 90 | 7 | 2007 - 08 |\n| marseille a | 004 2nd | 1932 - 33 | 63 | 1995 - 96 | 9 | 2009 - 10 |\n| as monaco | 004 ligue 2: 1st | 1953 - 54 | 54 | 2013 - 14 | 7 | 1999 - 2000 |\n| montpellier a | 010 9th | 1932 - 33 | 30 | 2009 - 10 | 1 | 2011 - 12 |\n| nantes | 010 ligue 2: 3rd | 1932 - 33 | 45 | 2013 - 14 | 8 | 2000 - 01 |\n| nice a | 010 4th | 1932 - 33 | 54 | 2002 - 03 | 4 | 1958 - 59 |\n| paris saint - germain b | 010 1st | 1974 - 75 | 40 | 1974 - 75 | 3 | 2012 - 13 |\n| rennes a | 010 12th | 1932 - 33 | 56 | 1994 - 95 | 0 | - |\n| reims | 010 14th | 1945 - 46 | 30 | 2012 - 13 | 6 | 1961 - 62 |\n| saint - étienne | 010 5th | 1938 - 39 | 60 | 2004 - 05 | 10 | 1980 - 81 |\n| sochaux a | 010 15th | 1932 - 33 | 65 | 2001 - 02 | 2 | 1937 - 38 |\n| toulouse | 010 10th | 1982 - 83 | 25 | 2003 - 04 | 0 | - |\n| valenciennes | 010 11th | 1960 - 61 | 32 | 2006 - 07 | 0 | - |" + } + ] + }, + { + "id": "table_recognition_train_item_33882", + "image": "table_instructV/images/TABMWP_33677.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Mixture | Temperature (°C) |\n| --- | --- |\n| Bromine mixture | -4 |\n| Acetone mixture | 5 |" + } + ] + }, + { + "id": "table_recognition_train_item_64272", + "image": "table_instructV/images/TabFact_2-13628822-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| rider | bike | laps | time | grid |\n| --- | --- | --- | --- | --- |\n| troy bayliss | ducati 999 f07 | 24 | 39:30.861 | 1 |\n| max biaggi | suzuki gsx - r1000 k7 | 24 | + 1.431 | 4 |\n| noriyuki haga | yamaha yzf - r1 | 24 | + 4.466 | 5 |\n| troy corser | yamaha yzf - r1 | 24 | + 13.766 | 2 |\n| roberto rolfo | honda cbr1000rr | 24 | + 20.848 | 9 |\n| ruben xaus | ducati 999 f06 | 24 | + 21.930 | 3 |\n| lorenzo lanzi | ducati 999 f07 | 24 | + 29.847 | 6 |\n| fonsi nieto | kawasaki zx - 10r | 24 | + 29.986 | 16 |\n| shinichi nakatomi | yamaha yzf - r1 | 24 | + 40.126 | 10 |\n| max neukirchner | suzuki gsx - r1000 k6 | 24 | + 40.733 | 12 |\n| james toseland | honda cbr1000rr | 24 | + 42.544 | 8 |\n| vittorio iannuzzo | kawasaki zx - 10r | 24 | + 54.504 | 15 |\n| karl muggeridge | honda cbr1000rr | 24 | + 55.024 | 17 |\n| steve martin | suzuki gsx - r1000 k6 | 24 | + 55.304 | 22 |\n| yoann tiberio | honda cbr1000rr | 24 | + 59.781 | 18 |\n| norino brignola | ducati 999 f05 | 24 | + 1:00.609 | 19 |\n| luca morelli | honda cbr1000rr | 24 | + 1:06.922 | 21 |\n| marco borciani | ducati 999 f06 | 24 | + 1:18.228 | 11 |\n| dean ellison | ducati 999rs | 23 | + 1 lap | 23 |\n| régis laconi | kawasaki zx - 10r | 12 | retirement | 13 |\n| michel fabrizio | honda cbr1000rr | 8 | retirement | 7 |\n| jakub smrž | ducati 999 f05 | 1 | retirement | 14 |" + } + ] + }, + { + "id": "table_recognition_train_item_101608", + "image": "table_instructV/images/ToTTo_train_table_6807.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Film Title | Director | Year |\n| --- | --- | --- |\n| Looper | Rian Johnson | 2012 |\n| Life in a Day | Kevin Macdonald | 2011 |" + } + ] + }, + { + "id": "table_recognition_train_item_101037", + "image": "table_instructV/images/ToTTo_train_table_4398.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| County | FIPS code | County seat | Established | Formed from | Etymology | Population | Area | Map |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Adams County | 001 | Brighton | 1902-11-15 | Split from Arapahoe County. | Named in honor of Alva Adams, the 5th, 10th, and 14th Governor of the State of Colorado. | 441,603 | 1,182.29 sq mi (3,062 km2) | State map highlighting Adams County |\n| Alamosa County | 003 | Alamosa | 1913-03-08 | Split from Costilla County and Conejos County. | Named for the cottonwood trees which grow along the Rio Grande and its tributaries. Alamosa is a Spanish word for a cottonwood grove. | 15,445 | 723.21 sq mi (1,873 km2) | State map highlighting Alamosa County |\n| Arapahoe County | 005 | Littleton | 1861-11-01 | Created as one of the 17 original counties of the Territory of Colorado. Renamed South Arapahoe County for the five months from November 15, 1902 to April 11, 1903. | Named for predecessor Arapahoe County, Kansas Territory, which in turn was named for the Arapaho Nation of Native Americans. | 572,003 | 804.41 sq mi (2,083 km2) | State map highlighting Arapahoe County |\n| Archuleta County | 007 | Pagosa Springs | 1885-04-14 | Split from Conejos County. | Named in honor of Colorado State Senator Antonio D. Archuleta and his father, José Manuel Archuleta. | 12,084 | 1,354.53 sq mi (3,508 km2) | State map highlighting Archuleta County |\n| Baca County | 009 | Springfield | 1889-04-16 | Split from Las Animas County. | Named in honor of pioneer and Colorado territorial legislator Felipe Baca. | 3,788 | 2,558.48 sq mi (6,626 km2) | State map highlighting Baca County |\n| Bent County | 011 | Las Animas | 1870-02-11 | Split from Huerfano County and former Cheyenne and Arapaho tribal land. | Named in honor of frontier trader William Bent. | 6,499 | 1,541.07 sq mi (3,991 km2) | State map highlighting Bent County |\n| Boulder County | 013 | Boulder | 1861-11-01 | Created as one of the 17 original counties of the Territory of Colorado. | Named for the abundance of granite boulders along Boulder Creek. | 294,567 | 740.48 sq mi (1,918 km2) | State map highlighting Boulder County |\n| City and County of Broomfield | 014 | Broomfield | 2001-11-15 | Split from Boulder, Adams, Jefferson, and Weld counties and reorganized as a consolidated city and county. | Named for the broom corn that was formerly grown in the area. | 55,889 | 33.57 sq mi (87 km2) | State map highlighting City and County of Broomfield |\n| Chaffee County | 015 | Salida | 1879-02-10 | Split from Carbonate County. | Named in honor of Jerome Bunty Chaffee, one of Colorado's first two U.S. Senators from 1876 to 1879. | 17,809 | 1,014.12 sq mi (2,627 km2) | State map highlighting Chaffee County |\n| Cheyenne County | 017 | Cheyenne Wells | 1889-03-25 | Split from Elbert and Bent counties. | Named for the Cheyenne Nation of Native Americans. | 1,836 | 1,781.90 sq mi (4,615 km2) | State map highlighting Cheyenne County |\n| Clear Creek County | 019 | Georgetown | 1861-11-01 | Created as one of the 17 original counties of the Territory of Colorado. | Named for Clear Creek which originates in the county. | 9,088 | 396.53 sq mi (1,027 km2) | State map highlighting Clear Creek County |\n| Conejos County | 021 | Conejos | 1861-11-01 | Guadalupe County, one of the 17 original counties of the Territory of Colorado, was renamed Conejos County after six days on November 7, 1861. | Named for the cottontail rabbits in the area. Conejos is a Spanish word for rabbits. | 8,256 | 1,290.22 sq mi (3,342 km2) | State map highlighting Conejos County |\n| Costilla County | 023 | San Luis | 1861-11-01 | Created as one of the 17 original counties of the Territory of Colorado. | Named for the Costilla River. Costilla is a Spanish word meaning either little rib or furring timber. | 3,524 | 1,229.38 sq mi (3,184 km2) | State map highlighting Costilla County |\n| Crowley County | 025 | Ordway | 1911-05-29 | Split from Otero County. | Named in honor of Colorado State Senator John H. Crowley. | 5,823 | 800.27 sq mi (2,073 km2) | State map highlighting Crowley County |\n| Custer County | 027 | Westcliffe | 1877-03-09 | Split from Fremont County. | Named in memory of George Armstrong Custer, (1839 - 1876), the U.S. Army colonel defeated and killed at the Battle of the Little Bighorn. | 4,255 | 739.24 sq mi (1,915 km2) | State map highlighting Custer County |\n| Delta County | 029 | Delta | 1883-02-11 | Split from Gunnison County. | Named for the town of Delta located at the delta of the Uncompahgre River. | 30,952 | 1,149.44 sq mi (2,977 km2) | State map highlighting Delta County |\n| City and County of Denver | 031 | Denver | 1902-12-01 | The original Arapahoe County Seat was split from Arapahoe and the newly-created Adams Counties, and reorganized as a consolidated city and county. | Named to curry favor with James W. Denver, Governor of the Territory of Kansas from 1857 to 1859. | 600,158 | 155.66 sq mi (403 km2) | State map highlighting City and County of Denver |\n| Dolores County | 033 | Dove Creek | 1881-03-04 | Split from Ouray County. | Named for the Dolores River, which was originally named el Rio de Nuestra Senora de los Dolores, which is Spanish for the River of our Lady of Sorrows. | 2,064 | 1,076.93 sq mi (2,789 km2) | State map highlighting Dolores County |\n| Douglas County | 035 | Castle Rock | 1861-11-01 | Created as one of the 17 original counties of the Territory of Colorado. | Named in honor of Stephen Arnold Douglas, (1813 - 1861), U.S. Senator from Illinois from 1847 to 1861. | 285,465 | 842.30 sq mi (2,182 km2) | State map highlighting Douglas County |\n| Eagle County | 037 | Eagle | 1883-02-11 | Split from Summit County. | Named for the Eagle River which originates in the county. | 52,197 | 1,700.76 sq mi (4,405 km2) | State map highlighting Eagle County |\n| El Paso County | 041 | Colorado Springs | 1861-11-01 | Created as one of the 17 original counties of the Territory of Colorado. | Named for Ute Pass, which connects the Great Plains to South Park and was formerly located within the county. El Paso means the pass in Spanish. | 622,263 | 2,128.60 sq mi (5,513 km2) | State map highlighting El Paso County |\n| Elbert County | 039 | Kiowa | 1874-02-02 | Split from Douglas County. | Named in honor of Samuel Hitt Elbert, the sixth Governor of the Territory of Colorado. | 23,086 | 1,849.08 sq mi (4,789 km2) | State map highlighting Elbert County |\n| Fremont County | 043 | Cañon City | 1861-11-01 | Created as one of the 17 original counties of the Territory of Colorado. | Named in honor of John Charles Frémont (1813 - 1890), the explorer, U.S. Army general, and U.S. Senator from California. | 46,824 | 1,533.09 sq mi (3,971 km2) | State map highlighting Fremont County |\n| Garfield County | 045 | Glenwood Springs | 1883-02-10 | Split from Summit County. | Named in honor of James Abram Garfield (1831 - 1881), the twentieth President of the United States. | 56,389 | 2,958.23 sq mi (7,662 km2) | State map highlighting Garfield County |\n| Gilpin County | 047 | Central City | 1861-11-01 | Created as one of the 17 original counties of the Territory of Colorado. | Named in honor of William Gilpin, the first Governor of the Territory of Colorado. | 5,441 | 150.15 sq mi (389 km2) | State map highlighting Gilpin County |\n| Grand County | 049 | Hot Sulphur Springs | 1874-02-02 | Split from Summit County. | Named for the Grand River which originates in the county. The Grand River was renamed the Colorado River in 1921, but the county retains the original name. | 14,843 | 1,868.53 sq mi (4,839 km2) | State map highlighting Grand County |\n| Gunnison County | 051 | Gunnison | 1877-03-09 | Split from Lake County. | Named in honor of John Williams Gunnison, the U.S. Army captain who explored the region. | 15,324 | 3,259.22 sq mi (8,441 km2) | State map highlighting Gunnison County |\n| Hinsdale County | 053 | Lake City | 1874-02-10 | Split from Lake, Conejos, and Costilla counties. | Named in honor of George Aaron Hinsdale, a Lieutenant Governor of the Territory of Colorado. | 843 | 1,123.35 sq mi (2,909 km2) | State map highlighting Hinsdale County |\n| Huerfano County | 055 | Walsenburg | 1861-11-01 | Created as one of the 17 original counties of the Territory of Colorado. | Named for Huerfano Butte, a solitary volcanic plug. Huerfano is a Spanish word meaning orphan. | 6,711 | 1,592.37 sq mi (4,124 km2) | State map highlighting Huerfano County |\n| Jackson County | 057 | Walden | 1909-05-05 | Split from Larimer County. | Named in honor of Andrew Jackson (1767 - 1845), the seventh President of the United States. | 1,394 | 1,619.75 sq mi (4,195 km2) | State map highlighting Jackson County |\n| Jefferson County | 059 | Golden | 1861-11-01 | Created as one of the 17 original counties of the Territory of Colorado. | Named for its extralegal predecessor county, Jefferson County, Jefferson Territory, which in turn was named in honor of Thomas Jefferson (1743 - 1826), the author of the Declaration of Independence and the third President of the United States. | 534,543 | 772.85 sq mi (2,002 km2) | State map highlighting Jefferson County |\n| Kiowa County | 061 | Eads | 1889-04-11 | Split from Bent County. | Named for the Kiowa Nation of Native Americans. | 1,398 | 1,785.90 sq mi (4,625 km2) | State map highlighting Kiowa County |\n| Kit Carson County | 063 | Burlington | 1889-04-11 | Split from Elbert County. | Named in honor of Christopher Houston \"Kit\" Carson, the famous frontier scout and soldier. | 8,270 | 2,162.43 sq mi (5,601 km2) | State map highlighting Kit Carson County |\n| La Plata County | 067 | Durango | 1874-02-10 | Split from Lake and Conejos counties. | Named for the many silver deposits in the area. La plata is a Spanish expression for the silver. | 51,334 | 1,700.44 sq mi (4,404 km2) | State map highlighting La Plata County |\n| Lake County | 065 | Leadville | 1861-11-01 | Created as one of the 17 original counties of the Territory of Colorado. Renamed Carbonate County for the two days from February 8–10, 1879. | Named for the Twin Lakes in the county. | 7,310 | 383.55 sq mi (993 km2) | State map highlighting Lake County |\n| Larimer County | 069 | Fort Collins | 1861-11-01 | Created as one of the 17 original counties of the Territory of Colorado. | Named in honor of William Larimer, a pioneer entrepreneur. | 299,630 | 2,631.75 sq mi (6,816 km2) | State map highlighting Larimer County |\n| Las Animas County | 071 | Trinidad | 1866-02-09 | Split from Huerfano County. | Named for the Purgatoire River, which was originally named el Rio de las Animas Perdidas, which is Spanish for the River of the Souls in Purgatory. | 15,507 | 4,773.27 sq mi (12,363 km2) | State map highlighting Las Animas County |\n| Lincoln County | 073 | Hugo | 1889-04-11 | Split from Elbert and Bent counties. | Named in honor of Abraham Lincoln (1809 - 1865), the sixteenth President of the United States. | 5,467 | 2,585.21 sq mi (6,696 km2) | State map highlighting Lincoln County |\n| Logan County | 075 | Sterling | 1887-02-25 | Split from Weld County. | Named in honor of John Alexander Logan (1826 - 1886), a U.S. Army general and U.S. Senator from Illinois. | 22,709 | 1,845.31 sq mi (4,779 km2) | State map highlighting Logan County |\n| Mesa County | 077 | Grand Junction | 1883-02-14 | Split from Gunnison County. | Named for the mesa formations which are widespread through the area. | 146,723 | 3,345.69 sq mi (8,665 km2) | State map highlighting Mesa County |\n| Mineral County | 079 | Creede | 1893-03-27 | Split from Hinsdale, Rio Grande, and Saguache counties. | Named from the plentiful mineral deposits found in the area. | 712 | 878.16 sq mi (2,274 km2) | State map highlighting Mineral County |\n| Moffat County | 081 | Craig | 1911-02-27 | Split from Routt County. | Named in honor of railroad pioneer David H. Moffat. | 13,795 | 4,755.86 sq mi (12,318 km2) | State map highlighting Moffat County |\n| Montezuma County | 083 | Cortez | 1889-04-16 | Split from La Plata County. | Named in honor of Aztec leader Moctezuma II. Ruins in the area were once thought to be Aztec. | 25,535 | 2,035.80 sq mi (5,273 km2) | State map highlighting Montezuma County |\n| Montrose County | 085 | Montrose | 1883-02-11 | Split from Gunnison County. | Named for the town of Montrose, which in turn was probably named from the novel A Legend of Montrose, published in 1819 by Walter Scott. | 41,276 | 2,246.43 sq mi (5,818 km2) | State map highlighting Montrose County |\n| Morgan County | 087 | Fort Morgan | 1889-02-19 | Split from Weld County. | Named for old Fort Morgan, which in turn was named in honor of U.S. Army Colonel Christopher A. Morgan. | 28,159 | 1,293.83 sq mi (3,351 km2) | State map highlighting Morgan County |\n| Otero County | 089 | La Junta | 1889-03-25 | Split from Bent County. | Named in honor of Miguel A. Otero of the prominent Otero family of the Southwest. | 18,831 | 1,267.66 sq mi (3,283 km2) | State map highlighting Otero County |\n| Ouray County | 091 | Ouray | 1877-01-18 | Split from Hinsdale and Lake counties. Renamed Uncompaghre County for four days from 1883-02-27, to 1883-03-02. | Named in honor of Ouray, a Ute Native American leader. | 4,436 | 542.30 sq mi (1,405 km2) | State map highlighting Ouray County |\n| Park County | 093 | Fairplay | 1861-11-01 | Created as one of the 17 original counties of the Territory of Colorado. | Named for South Park which occupies most of the county. | 16,206 | 2,209.36 sq mi (5,722 km2) | State map highlighting Park County |\n| Phillips County | 095 | Holyoke | 1889-03-27 | Split from Logan County. | Named in honor of R.O. Phillips, secretary of the Lincoln Land Company, which sold farmsteads in the area. | 4,442 | 688.30 sq mi (1,783 km2) | State map highlighting Phillips County |\n| Pitkin County | 097 | Aspen | 1881-02-23 | Split from Gunnison County. | Named in honor of Frederick Walker Pitkin, the second Governor of the State of Colorado. | 17,148 | 970.37 sq mi (2,513 km2) | State map highlighting Pitkin County |\n| Prowers County | 099 | Lamar | 1889-04-11 | Split from Bent County. | Named in honor of John W. Prowers, a pioneer of the Arkansas River valley. | 12,551 | 1,645.37 sq mi (4,261 km2) | State map highlighting Prowers County |\n| Pueblo County | 101 | Pueblo | 1861-11-01 | Created as one of the 17 original counties of the Territory of Colorado. | Named for historic town of Pueblo. Pueblo is a Spanish word meaning village or people. | 159,063 | 2,396.77 sq mi (6,208 km2) | State map highlighting Pueblo County |\n| Rio Blanco County | 103 | Meeker | 1889-03-25 | Split from Garfield County. | Named for the White River, which was originally named Rio Blanco in Spanish. | 6,666 | 3,226.24 sq mi (8,356 km2) | State map highlighting Rio Blanco County |\n| Rio Grande County | 105 | Del Norte | 1874-02-10 | Split from Costilla County and Conejos County counties. | Named for the Rio Grande, which flows through the area. | 11,982 | 913.10 sq mi (2,365 km2) | State map highlighting Rio Grande County |\n| Routt County | 107 | Steamboat Springs | 1877-01-29 | Split from Grand County. | Named in honor of John Long Routt, the first Governor of the State of Colorado. | 23,509 | 2,362.11 sq mi (6,118 km2) | State map highlighting Routt County |\n| Saguache County | 109 | Saguache | 1866-12-29 | Split from Lake and Costilla counties. | Name comes from a Ute language noun meaning \"sand dunes\". | 6,108 | 3,168.32 sq mi (8,206 km2) | State map highlighting Saguache County |\n| San Juan County | 111 | Silverton | 1876-01-31 | Split from Lake County. | Named for the San Juan River and San Juan Mountains, which in turn were named for Saint John the Evangelist. | 699 | 388.99 sq mi (1,007 km2) | State map highlighting San Juan County |\n| San Miguel County | 113 | Telluride | 1883-03-02 | Split from San Juan County. | Named for the San Miguel River and San Miguel Mountains, which in turn were named for Saint Michael the Archangel. | 7,359 | 1,290.76 sq mi (3,343 km2) | State map highlighting San Miguel County |\n| Sedgwick County | 115 | Julesburg | 1889-04-09 | Split from Logan County. | Named for Fort Sedgwick, which, in turn, was named for U.S. Army General John Sedgwick (1813 - 1864). | 2,379 | 548.83 sq mi (1,421 km2) | State map highlighting Sedgwick County |\n| Summit County | 117 | Breckenridge | 1861-11-01 | Created as one of the 17 original counties of the Territory of Colorado. | Named for the many high mountain summits in the area. | 27,994 | 618.92 sq mi (1,603 km2) | State map highlighting Summit County |\n| Teller County | 119 | Cripple Creek | 1899-03-23 | Split from El Paso and Fremont counties. | Named in honor of Henry Moore Teller, a U.S. Senator from Colorado and United States Secretary of the Interior. | 23,350 | 558.58 sq mi (1,447 km2) | State map highlighting Teller County |\n| Washington County | 121 | Akron | 1887-02-09 | Split from Weld County. | Named in honor of George Washington (1732 - 1799), the first President of the United States. | 4,814 | 2,522.90 sq mi (6,534 km2) | State map highlighting Washington County |\n| Weld County | 123 | Greeley | 1861-11-01 | Created as one of the 17 original counties of the Territory of Colorado. | Named in honor of Lewis Ledyard Weld, the first Secretary of the Territory of Colorado. | 252,825 | 4,013.84 sq mi (10,396 km2) | State map highlighting Weld County |\n| Yuma County | 125 | Wray | 1889-03-15 | Split from Washington County. | Named for the Quechan (Yuma) Nation of Native Americans. | 10,043 | 2,369.61 sq mi (6,137 km2) | State map highlighting Yuma County |" + } + ] + }, + { + "id": "table_recognition_train_item_106475", + "image": "table_instructV/images/ToTTo_train_table_27217.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Year | Name | Place | Class |\n| --- | --- | --- | --- |\n| 2006 | Dan Thompson | 7th | 165 |\n| 2013 | Ugi Khishignyam | 4th | 141 |\n| 2013 | Odie Delaney | 7th | HWT |\n| 2014 | Turtog Luvsandorj | 6th | 165 |" + } + ] + }, + { + "id": "table_recognition_train_item_32863", + "image": "table_instructV/images/TABMWP_23054.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| Number of gym lockers | Number of soccer balls |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | 20 |\n| 5 | 25 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_64118", + "image": "table_instructV/images/TabFact_2-12849683-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| date | venue | score | result | competition |\n| --- | --- | --- | --- | --- |\n| august 25 , 1980 | chuncheon | 1 goal | 3 - 0 | 1980 president 's cup |\n| august 27 , 1980 | daejeon | 1 goal | 3 - 2 | 1980 president 's cup |\n| september 16 , 1980 | kuwait city | 1 goal | 1 - 1 | 1980 afc asian cup |\n| september 19 , 1980 | kuwait city | 1 goal | 2 - 0 | 1980 afc asian cup |\n| september 21 , 1980 | kuwait city | 2 goals | 3 - 0 | 1980 afc asian cup |\n| september 24 , 1980 | kuwait city | 3 goals | 4 - 1 | 1980 afc asian cup |\n| april 24 , 1981 | kuwait city | 2 goals | 5 - 1 | 1982 fifa world cup qualification |\n| march 21 , 1982 | seoul | 1 goal | 3 - 0 | korea - japan annual match |\n| may 10 , 1982 | bangkok | 1 goal | 2 - 0 | 1982 king 's cup |\n| june 11 , 1982 | gwangyang | 1 goal | 3 - 0 | 1982 president 's cup |\n| november 21 , 1982 | new delhi | 2 goals | 3 - 0 | 1982 asian games |\n| june 6 , 1985 | daejeon | 1 goal | 3 - 2 | 1985 president 's cup |\n| june 8 , 1985 | gwangju | 2 goals | 3 - 0 | 1985 president 's cup |\n| june 15 , 1985 | seoul | 2 goals | 2 - 0 | 1985 president 's cup |\n| july 30 , 1985 | jakarta | 1 goal | 4 - 1 | 1986 fifa world cup qualification |\n| december 14 , 1985 | nezahualcoyotl | 1 goal | 2 - 0 | 1985 mexico tournament |\n| june 10 , 1986 | puebla | 1 goal | 2 - 3 | 1986 fifa world cup |\n| september 20 , 1986 | busan | 1 goal | 3 - 0 | 1986 asian games |\n| october 3 , 1986 | seoul | 2 goals | 4 - 0 | 1986 asian games |\n| june 19 , 1988 | suwon | 1 goal | 4 - 0 | 1988 president 's cup |\n| october 26 , 1988 | tokyo | 1 goal | 1 - 0 | korea - japan annual match |\n| may 27 , 1989 | seoul | 1 goal | 3 - 0 | 1990 fifa world cup qualification |" + } + ] + }, + { + "id": "table_recognition_train_item_50580", + "image": "table_instructV/images/TAT-QA_87f701c5-ad4b-455e-9839-a87ce744df64.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Named Executive Officer | Annual Base Salary as of December 31, 2017 | Annual Base Salary as of December 31, 2018 | Percentage Increase |\n| --- | --- | --- | --- |\n| Mr. Dorsey | $2.75 | $2.75 | 0% |\n| Ms. Friar (1) | $350,000 | $N/A | N/A |\n| Ms. Henry | $350,000 | $400,000 | 14% |\n| Ms. Reses | $350,000 | $400,000 | 14% |\n| Ms. Whiteley (2) | $325,000 | $400,000 | 23% |\n| Mr. Daswani (3) | $280,000 | $300,000 | 7% |\n| Mr. Murphy (3) | $270,000 | $295,000 | 9% |" + } + ] + }, + { + "id": "table_recognition_train_item_67850", + "image": "table_instructV/images/TabFact_2-11598240-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| pick | player | team | position | school |\n| --- | --- | --- | --- | --- |\n| 31 | j p howell | kansas city royals | lhp | university of texas at austin |\n| 32 | zach jackson | toronto blue jays | lhp | texas a&m university |\n| 33 | justin orenduff | los angeles dodgers | rhp | virginia commonwealth university |\n| 34 | tyler lumsden | chicago white sox | lhp | clemson university |\n| 35 | matt fox | minnesota twins | rhp | university of central florida |\n| 36 | danny putnam | oakland athletics | of | stanford university |\n| 37 | jon poterson | new york yankees | c | chandler high school (az) |\n| 38 | gio gonzalez | chicago white sox | lhp | monsignor edward pace high school |\n| 39 | jay rainville | minnesota twins | rhp | bishop hendricken high school |\n| 40 | huston street | oakland athletics | rhp | university of texas at austin |\n| 41 | jeff marquez | new york yankees | rhp | sacramento city college |" + } + ] + }, + { + "id": "table_recognition_train_item_35370", + "image": "table_instructV/images/TABMWP_31492.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| | Math | Literature |\n| --- | --- | --- |\n| Poetry | 2 | 4 |\n| Student council | 5 | 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_103149", + "image": "table_instructV/images/ToTTo_train_table_13203.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Track # | Title | Composer | Lyrics | Singer(s) |\n| --- | --- | --- | --- | --- |\n| 1 | \"Singh Saab The Great\" | Sonu Nigam | Kumaar | Sonu Nigam, Teesha Nigam |\n| 2 | \"Daaru Band Kal Se\" | Anand Raj Anand | Kumaar | Sonu Nigam |\n| 3 | \"Palang Todh\" | Anand Raj Anand | Kumaar | Sunidhi Chauhan, Anand Raj Anand |\n| 4 | \"Jab Mehndi Lag Lag Jaave\" | Anand Raj Anand | Kumaar | Sonu Nigam, Shreya Ghoshal |\n| 5 | \"Daaru Band Kal Se (Remix)\" | Anand Raj Anand | Kumaar | Sonu Nigam |\n| 6 | \"Heer\" | Anand Raj Anand | Kumaar | Sonu Nigam |" + } + ] + }, + { + "id": "table_recognition_train_item_117387", + "image": "table_instructV/images/Rotowire_train_table_3036.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Magic | Orlando | 103 | 18 | 36 | 19 | 23 | 28 | 46 | 15 | 45 | 75 | 39 | 20 | 19 | | | | |\n| Raptors | Toronto | 106 | 31 | 30 | 16 | 19 | 20 | 47 | 10 | 41 | 77 | 33 | 25 | 15 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Victor Oladipo | 45 | 27 | 6 | 6 | 10-20 | 50% | 5-7 | 71% | 2-2 | 100% | 2 | 3 | 0 | 1 | 5 | 3 | G | Orlando |\n| Evan Fournier | 34 | 21 | 3 | 3 | 8-11 | 73% | 2-4 | 50% | 3-3 | 100% | 1 | 3 | 0 | 1 | 2 | 5 | G | Orlando |\n| Nikola Vucevic | 39 | 17 | 11 | 4 | 8-22 | 36% | 0-1 | 0% | 1-1 | 100% | 0 | 1 | 3 | 2 | 9 | 4 | C | Orlando |\n| Jason Smith | 37 | 16 | 5 | 4 | 8-15 | 53% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 4 | 3 | N/A | Orlando |\n| Tobias Harris | 44 | 16 | 11 | 3 | 7-13 | 54% | 2-4 | 50% | 0-0 | 0% | 1 | 4 | 0 | 1 | 10 | 2 | F | Orlando |\n| Elfrid Payton | 20 | 4 | 1 | 4 | 2-8 | 25% | 0-1 | 0% | 0-0 | 0% | 0 | 3 | 0 | 0 | 1 | 1 | N/A | Orlando |\n| Channing Frye | 22 | 2 | 6 | 2 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 4 | 0 | 6 | 2 | F | Orlando |\n| Aaron Gordon | 7 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-2 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Orlando |\n| Mario Hezonja | 14 | 0 | 2 | 2 | 0-4 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 2 | 0 | N/A | Orlando |\n| Andrew Nicholson | 3 | 0 | 0 | 0 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Orlando |\n| Shabazz Napier | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Dewayne Dedmon | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| Kyle Lowry | 47 | 24 | 8 | 6 | 5-20 | 25% | 2-9 | 22% | 12-14 | 86% | 1 | 2 | 1 | 1 | 7 | 2 | G | Toronto |\n| Cory Joseph | 36 | 19 | 3 | 4 | 9-11 | 82% | 0-1 | 0% | 1-2 | 50% | 2 | 3 | 0 | 1 | 2 | 3 | N/A | Toronto |\n| DeMar DeRozan | 40 | 13 | 11 | 4 | 4-19 | 21% | 0-2 | 0% | 5-6 | 83% | 1 | 2 | 1 | 2 | 9 | 2 | G | Toronto |\n| Jonas Valanciunas | 30 | 13 | 9 | 2 | 6-11 | 55% | 0-0 | 0% | 1-3 | 33% | 1 | 1 | 3 | 3 | 6 | 2 | C | Toronto |\n| Luis Scola | 20 | 11 | 2 | 0 | 4-8 | 50% | 3-3 | 100% | 0-0 | 0% | 3 | 0 | 2 | 1 | 1 | 0 | F | Toronto |\n| Patrick Patterson | 36 | 11 | 7 | 2 | 4-7 | 57% | 3-5 | 60% | 0-0 | 0% | 1 | 0 | 2 | 1 | 6 | 2 | N/A | Toronto |\n| Bismack Biyombo | 21 | 11 | 6 | 1 | 3-4 | 75% | 0-0 | 0% | 5-6 | 83% | 0 | 1 | 1 | 2 | 4 | 3 | N/A | Toronto |\n| James Johnson | 17 | 2 | 0 | 1 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 2 | 0 | 0 | 0 | 0 | 0 | F | Toronto |\n| Terrence Ross | 17 | 2 | 0 | 0 | 1-6 | 17% | 0-4 | 0% | 0-0 | 0% | 0 | 1 | 1 | 0 | 0 | 2 | N/A | Toronto |\n| Norman Powell | 3 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Toronto |\n| Lucas Nogueira | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Bruno Caboclo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Delon Wright | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |" + } + ] + }, + { + "id": "table_recognition_train_item_61428", + "image": "table_instructV/images/TabFact_2-16877441-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| year | class | team | points | wins |\n| --- | --- | --- | --- | --- |\n| 1949 | 350cc | norton | 0 | 0 |\n| 1949 | 500cc | norton | 0 | 0 |\n| 1950 | 350cc | norton | 9 | 0 |\n| 1950 | 500cc | norton | 5 | 0 |\n| 1951 | 350cc | norton | 0 | 0 |\n| 1958 | 350cc | velocette | 0 | 0 |\n| 1958 | 500cc | norton | 0 | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_66248", + "image": "table_instructV/images/TabFact_2-11630008-9.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| series | season | title | directed by | original air date | production code |\n| --- | --- | --- | --- | --- | --- |\n| 173 | 1 | payneful resolution resolution | tyler perry | march 30 , 2011 | 701 |\n| 174 | 2 | growing paynes | tyler perry | march 30 , 2011 | 702 |\n| 175 | 3 | payne protection | tyler perry | april 6 , 2011 | 703 |\n| 176 | 4 | payneful visit | tyler perry | april 6 , 2011 | 704 |\n| 178 | 6 | epic fail | chip hurd | april 13 , 2011 | 706 |\n| 179 | 7 | praying for attention | tyler perry | april 20 , 2011 | 707 |\n| 180 | 8 | shout out | kim fields | april 20 , 2011 | 708 |\n| 181 | 9 | love thy neighbor | chip hurd | april 27 , 2011 | 709 |\n| 182 | 10 | dream girls | tyler perry | april 27 , 2011 | 710 |\n| 183 | 11 | a payneful night out | tyler perry | may 4 , 2011 | 711 |\n| 184 | 12 | payneful assistance | tyler perry | may 4 , 2011 | 712 |\n| 185 | 13 | house of awkward | chip hurd | may 11 , 2011 | 713 |\n| 186 | 14 | pledging paynes | chip hurd | may 11 , 2011 | 714 |\n| 187 | 15 | brain payne | chip hurd | may 11 , 2011 | 715 |\n| 188 | 16 | foster paynes | kim fields | may 18 , 2011 | 716 |\n| 189 | 17 | talented paynes | roger m bobb | may 18 , 2011 | 717 |\n| 190 | 18 | going , going , gone | kim fields | may 25 , 2011 | 718 |\n| 191 | 19 | mother 's day out | roger m bobb | june 1 , 2011 | 719 |\n| 192 | 20 | so hard to say goodbye | tyler perry | june 8 , 2011 | 720 |\n| 193 | 21 | payneful rescue | tyler perry | june 15 , 2011 | 721 |" + } + ] + }, + { + "id": "table_recognition_train_item_31498", + "image": "table_instructV/images/TABMWP_8117.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Number of gym lockers | Number of T-shirts |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | 40 |\n| 5 | 50 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_69222", + "image": "table_instructV/images/TabFact_2-14911003-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| position | team | points | played | drawn | lost | against | difference |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | santos | 89 | 46 | 8 | 11 | 58 | 45 |\n| 2 | atlético - pr | 86 | 46 | 11 | 10 | 56 | 37 |\n| 3 | são paulo | 82 | 46 | 10 | 12 | 43 | 35 |\n| 4 | palmeiras | 79 | 46 | 13 | 11 | 47 | 25 |\n| 5 | corinthians | 74 | 46 | 14 | 12 | 54 | 0 |\n| 6 | goiás | 72 | 46 | 9 | 16 | 68 | 13 |\n| 7 | juventude | 70 | 46 | 10 | 16 | 66 | - 6 |\n| 8 | internacional | 67 | 46 | 7 | 19 | 59 | 7 |\n| 9 | fluminense | 67 | 46 | 13 | 15 | 68 | - 3 |\n| 10 | ponte preta | 64 | 46 | 7 | 20 | 73 | - 30 |\n| 11 | figueirense | 63 | 46 | 12 | 17 | 59 | - 2 |\n| 12 | coritiba | 62 | 46 | 17 | 14 | 48 | 5 |\n| 13 | cruzeiro | 56 | 46 | 8 | 22 | 81 | - 12 |\n| 14 | paysandu | 56 | 46 | 14 | 18 | 76 | - 20 |\n| 15 | paraná | 54 | 46 | 9 | 22 | 73 | - 21 |\n| 16 | vasco | 54 | 46 | 12 | 20 | 68 | - 4 |\n| 17 | flamengo | 54 | 46 | 15 | 18 | 53 | - 2 |\n| 18 | são caetano | 53 | 46 | 8 | 15 | 49 | 16 |\n| 19 | atlético - mg | 53 | 46 | 17 | 17 | 66 | - 6 |\n| 20 | botafogo | 51 | 46 | 18 | 17 | 71 | - 9 |\n| 21 | criciúma | 50 | 46 | 11 | 22 | 78 | - 17 |\n| 22 | guarani | 49 | 46 | 16 | 19 | 55 | - 12 |\n| 23 | vitória | 48 | 46 | 9 | 24 | 87 | - 19 |\n| 24 | grêmio | 39 | 46 | 12 | 25 | 80 | - 20 |" + } + ] + }, + { + "id": "table_recognition_train_item_61164", + "image": "table_instructV/images/TabFact_2-16647560-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| name | years | seasons | lost | pct |\n| --- | --- | --- | --- | --- |\n| kitty parrot | 1974 | 1 | 8 | 556 |\n| frankie porter | 1975 | 1 | 4 | 778 |\n| kathy graham | 1976 - 1977 | 2 | 7 | 788 |\n| jeff kefalos | 1978 - 1983 | 6 | 34 | 791 |\n| arlo elkins | 1984 - present | 28 | 290 | 598 |\n| all - time | all - time | 38 | 343 | 640 |" + } + ] + }, + { + "id": "table_recognition_train_item_69122", + "image": "table_instructV/images/TabFact_1-10710364-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| religious group | population % | growth (19912001) | sex ratio (total) | literacy (%) | work participation (%) | sex ratio (rural) | sex ratio (urban) | sex ratio (child) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| hindu | 80.46% | 20.3% | 931 | 65.1% | 40.4% | 944 | 894 | 925 |\n| muslim | 13.43% | 29.3% | 936 | 59.1% | 31.3% | 953 | 907 | 950 |\n| christian | 2.34% | 22.6% | 1009 | 80.3% | 39.7% | 1001 | 1026 | 964 |\n| sikh | 1.87% | 18.2% | 893 | 69.4% | 37.7% | 895 | 886 | 786 |\n| buddhist | 0.77% | 18.2% | 953 | 72.7% | 40.6% | 958 | 944 | 942 |\n| animist , others | 0.72% | 103.1% | 992 | 47.0% | 48.4% | 995 | 966 | 976 |" + } + ] + }, + { + "id": "table_recognition_train_item_103520", + "image": "table_instructV/images/ToTTo_train_table_14690.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Founded | Ended | Society | College or University | Source and notes |\n| --- | --- | --- | --- | --- |\n| 1750 | 1787 | F. H. C. | William & Mary | |\n| 1750 | 1772 | Crotonia Society | Yale | |\n| 1753 | Present | Linonian Society | Yale | |\n| 1765 | 1928 | American Whig Society | Princeton | |\n| 1765 | 1928 | Cliosophic Society | Princeton | |\n| 1768 | unknown | Brothers in Unity | Yale | |\n| 1770 | unknown | Institute of 1770 | Harvard | |\n| 1771 | unknown | Pronouncing Society | Brown | |\n| 1773 | 1781 | P. D. A. | William & Mary | |\n| 1776 | 1786 | Athenian Society | Rutgers | |\n| 1776 | 1787 | Phi Beta Kappa Society | William & Mary | |\n| 1776 | 1782 | Polemical Society | Rutgers | |\n| 1780 | Present | Phi Beta Kappa Society | Yale | |\n| 1781 | Present | Phi Beta Kappa Society | Harvard | |\n| 1783 | Defunct | Social Friends Society | Dartmouth | |\n| 1786 | Present | Belles Lettres Society | Dickinson | |\n| 1786 | Defunct | United Fraternity | Dartmouth | |\n| 1787 | Present | Phi Beta Kappa Society | Dartmouth | |\n| 1789 | Present | Union-Philanthropic Society | Hampden-Sydney | |\n| 1789 | Present | Union Philosophical Society | Dickinson | |\n| 1789 | 1795 | Society for Progress in Letters | Columbia | |\n| 1791 | unknown | Porcellian Society | Harvard | |\n| 1793 | 1890 | Calliopean Society | Union | |\n| 1794 | 1866 | Philermenian Society | Brown | |\n| 1795 | Present | Dialectic Society | North Carolina | |\n| 1795 | Present | Philanthropic Society | North Carolina | |\n| 1795 | unknown | Philologian Society | Williams | |\n| 1795 | unknown | Philotechnian Society | Williams | |\n| 1796 | unknown | Adelphic Society | Union | |\n| 1797 | Present | Franklin Literary Society | Jefferson | |\n| 1797 | unknown | Philo Literary Society | Jefferson | |\n| 1802 | Present | Philolexian Society | Columbia | |\n| 1802 | 1887 | Athenaean Society | Bowdoin | |\n| 1803 | Present | Demosthenian Literary Society | Georgia | |\n| 1803 | unknown | Phi Sigma Nu Society | Vermont | |\n| 1805 | Present | Peucinian Society | Bowdoin | |\n| 1806 | unknown | Peithologian Society | Columbia | |\n| 1806 | Present | Clariosophic Society | South Carolina | |\n| 1806 | Present | Euphradian Society | South Carolina | |\n| 1806 | 1866 | United Brothers Society | Brown | |\n| 1807 | unknown | Philological Society | Pennsylvania | |\n| 1809 | unknown | Union Literary Society | Washington | |\n| 1811 | unknown | Hermean Society | Pennsylvania | |\n| 1813 | Present | Philomathean Society | Pennsylvania | |\n| 1814 | unknown | Washington Literary Society | Washington | |\n| 1814 | unknown | Phoenix Society | Hamilton | |\n| 1814 | unknown | Union Society | Hamilton | |\n| 1817 | Present | Phi Beta Kappa Society | Union | |\n| 1819 | Present | Calliopean Society | Yale | |\n| 1819 | 1830 | Patrick Henry Society | Virginia | |\n| 1820 | Present | Phi Kappa Literary Society | Georgia | |\n| 1820 | unknown | Henodelphisterian Society | Indiana | |\n| 1821 | unknown | Alexandrian Society | Amherst | |\n| 1821 | unknown | Athenian Society | Amherst | |\n| 1822 | Present | Enosinian Society | George Washington | |\n| 1822 | unknown | Franklin Debating Society | Randolph-Macon | |\n| 1823 | unknown | Ciceronian Society | George Washington | |\n| 1824 | 1834 | Franklin Society | Brown | |\n| 1824 | unknown | Athenaeum Society | Trinity | |\n| 1824 | unknown | Society for Inquiry | Colgate | |\n| 1825 | Present | Jefferson Society | Virginia | |\n| 1825 | Present | Phi Beta Kappa Society | Bowdoin | |\n| 1825 | 1892 | Philoclean Society | Rutgers | |\n| 1825 | unknown | Agatheridan Society | Nashville | |\n| 1825 | 1891 | Peithissophian Society | Rutgers | |\n| 1825 | 1924 | Erodelphian Literary Society | Miami University | |\n| 1825 | 1928 | Miami Union Literary Society | Miami University | |\n| 1826 | unknown | Franklin Society | William & Mary | |\n| 1826 | unknown | Philozetian Society | Western Reserve | |\n| 1827 | unknown | Literary Fraternity | Colby | |\n| 1827 | unknown | Parthenon Society | Trinity | |\n| 1827 | unknown | Philomathesian Society | Kenyon | |\n| 1828 | unknown | Nu Pi Kappa Society | Kenyon | |\n| 1828 | unknown | Philomathean Society | College of Charleston | |\n| 1829 | unknown | Beth-Hacma | Maryville | |\n| 1829 | unknown | Sophirodelphian Society | Maryville | |\n| 1829 | unknown | Transylvania Whig Society | Transylvania | |\n| 1829 | unknown | Union Philosophical Society | Transylvania | |\n| 1829 | unknown | Zelosophic Society | Pennsylvania | |\n| 1830 | Present | Phi Beta Kappa Society | Brown | |\n| 1830 | Present | Philodemic Society | Georgetown | |\n| 1830 | unknown | Athenian Society | Indiana | |\n| 1830 | unknown | Calliopean Society | Maine Wesleyan | |\n| 1830 | unknown | Philosophronian Society | Hanover | |\n| 1830 | unknown | Union Literary Society | Hanover | |\n| 1831 | Present | Washington Literary Society and Debating Union | Virginia | |\n| 1831 | 1840 | Adelphic Society | Western Reserve | |\n| 1831 | 1933 | Erosophic Society | Alabama | |\n| 1831 | unknown | Euphradian Society | College of Charleston | |\n| 1831 | 1840 | Franklin Society | Western Reserve | |\n| 1831 | unknown | Peithologian Society | Wesleyan | |\n| 1831 | unknown | Philomathean Society | Indiana | |\n| 1831 | unknown | Philorhetorian Society | Wesleyan | |\n| 1832 | 1943 | Philomathic Society | Alabama | |\n| 1833 | 1840 | Gamma Phi Society | Colgate | |\n| 1833 | 1834 | Franklin Polemic Society | Mercer | |\n| 1833 | Present | Washington Society | Randolph-Macon | |\n| 1834 | 1943 | Eucleian Society | New York | |\n| 1834 | 1888 | Philomathean Society | New York | |\n| 1834 | unknown | Beth-Hacma ve Berith | Maryville | |\n| 1834 | Defunct | Ciceronian Society | Mercer | |\n| 1834 | unknown | Ladies' Literary Society | Oberlin | |\n| 1834 | Defunct | Phi Delta Society | Mercer | |\n| 1834 | unknown | Philo-Franklin Society | Allegheny | |\n| 1834 | unknown | Philomathean Society | Wabash | |\n| 1834 | 1840 | Pi Delta Society | Colgate | |\n| 1835 | unknown | Allegheny Society | Allegheny | |\n| 1835 | unknown | Calliopean Society | Denison | |\n| 1835 | unknown | Diagnothian Society | Franklin & Marshall | |\n| 1835 | unknown | Erosophian Adelphoi Society | Colby | |\n| 1835 | unknown | Euphronean Society | Wabash | |\n| 1835 | Present | Euzelian Society | Wake Forest | |\n| 1835 | unknown | Philomathesian Society | Wake Forest | |\n| 1835 | unknown | Society for Religious Inquiry | Vermont | |\n| 1836 | unknown | Chi Delta Society | East Tennessee | |\n| 1836 | unknown | Philomathesian Society | East Tennessee | |\n| 1836 | unknown | Union Literary Society | Muskingum | |\n| 1837 | Present | Philanthropic Society | Davidson | |\n| 1837 | Present | Eumenean Society | Davidson | |\n| 1837 | Defunct | Phi Gamma Society | Emory | |\n| 1837 | unknown | Philosophian Society | McKendree | |\n| 1838 | unknown | Cliosophic Society | College of Charleston | |\n| 1838 | unknown | Platonian Society | Indiana Asbury | |\n| 1839 | ~1932 | Tau Theta Kappa Society | Georgetown College (KY) | |\n| 1839 | ~1932 | Ciceronian Society | Georgetown College (KY) | |\n| 1839 | unknown | Alpha Kappa Society | Marietta | |\n| 1839 | unknown | Dialectic Society | Oberlin | |\n| 1839 | Present | Euphemian Society | Erskine | |\n| 1839 | Defunct | Few Society | Emory | |\n| 1839 | unknown | Licivyronian Society | William & Mary | |\n| 1839 | (Defunct 1863) | Phi Delta Society | Oglethorpe | |\n| 1839 | unknown | Philological Society | Indiana Asbury | |\n| 1839 | unknown | Philomathesian Society | Oberlin | |\n| 1839 | unknown | Psi Gamma Society | Marietta | |\n| 1839 | Present | Thalian Society | Oglethorpe | |\n| 1840 | 1880 | Adelphian Society | Colgate | |\n| 1840 | 1887 | Aeonian Society | Colgate | |\n| 1840 | (Present) | Calliopean Society | Emory & Henry | |\n| 1840 | Present | Hermesian Society | Emory & Henry | |\n| 1840 | unknown | Phi Delta Society | Western Reserve | |\n| 1840 | unknown | Philalethian Society | Hanover | |\n| 1840 | unknown | Tau Chi Society | William & Mary | |\n| 1841 | unknown | Philopaedian Society | St. Xavier | |\n| 1842 | unknown | Adelphi Society | Howard | |\n| 1842 | unknown | Franklin Society | Howard | |\n| 1842 | Present | Philomathean Society | Erskine | |\n| 1842 | unknown | Phi Phi Alpha Society | Michigan | |\n| 1843 | unknown | Alpha Nu Society | Michigan | |\n| 1843 | unknown | Franklin Society | Denison | |\n| 1843 | Present | Sigma Pi Society | Illinois | |\n| 1844 | unknown | Clever Fellows Society | Albion | |\n| 1844 | unknown | Clever Girls Society | Albion | |\n| 1845 | unknown | Adelphi Society | Knox | |\n| 1845 | unknown | Atheniaedes Society | Albion | |\n| 1845 | Defunct | Calliopean Society | Citadel | |\n| 1845 | unknown | Eclectic Society | Albion | |\n| 1851 | Present | Excelsior Men's Society | Heidelberg | |\n| 1845 | unknown | Hermean Society | Geneva | |\n| 1845 | Present | Phi Alpha Society | Illinois | |\n| 1845 | unknown | Zetagathea Society | Ohio Wesleyan | |\n| 1846 | unknown | Alfreidian Lyceum Society | Alfred | |\n| 1846 | unknown | Philomathean Society | Muskingum | |\n| 1846 | unknown | Philosophian Society | Wittenberg | |\n| 1847 | unknown | Calliopean Society | Wabash | |\n| 1847 | unknown | Chrestomathean Society | Ohio Wesleyan | |\n| 1847 | unknown | Lyceum Society | Wabash | |\n| 1847 | Present | Polytechnic Literary Society | Citadel | |\n| 1847 | Present | St. Anthony Hall | Columbia | |\n| 1848 | 1948 | Chrestomathic Society | College of Charleston | |\n| 1848 | unknown | Philomatic Society | Spring Hill | |\n| 1848 | unknown | Tripartite Union | Lycoming | |\n| 1849 | unknown | Alethearian Society | Geneva | |\n| 1849 | unknown | Gnothautii Society | Knox | |\n| 1849 | 1946 | Hermaean Society | Mississippi | |\n| 1849 | 1934 | Phi Sigma Society | Mississippi | |\n| 1849 | unknown | Philo-Christomathean Society | Geneva | |\n| 1849 | Defunct | Platonian Society | McKendree | |\n| 1850 | unknown | Athenian Society | Wisconsin | |\n| 1850 | unknown | Belles Letters Society | Lycoming | |\n| 1850 | unknown | Ciceronian Society | Roanoke | |\n| 1850 | Defunct | Columbian Society | Carson-Newman | |\n| 1850 | 1866 | Delphic Society | Rochester | |\n| 1850 | unknown | Demosthenean Society | Roanoke | |\n| 1850 | unknown | Eupia Society | Bucknell | |\n| 1850 | unknown | Orophilian Lyceum Society | Alfred | |\n| 1850 | Defunct | Philomathean Society | Carson-Newman | |\n| 1850 | unknown | Philophrenian Society | Columbian | |\n| 1850 | unknown | Pithonian Society | Rochester | |\n| 1850 | unknown | Soverville Society | Ohio Female | |\n| 1850 | unknown | St. Aloysius Literary Society | University of Notre Dame | |\n| 1850 | unknown | Theta Alphea Society | Bucknell | |\n| 1851 | unknown | Addisonian Society | Kentucky Military | |\n| 1851 | unknown | Adelphean Society | Wesleyan | |\n| 1851 | unknown | Alleghenian Lyceum Society | Alfred | |\n| 1851 | unknown | Amphictyon Society | Lawrence | |\n| 1851 | unknown | Athenian Society | Ohio Wesleyan | |\n| 1851 | unknown | Belles Letters Society | MacMurray | |\n| 1851 | unknown | Clionian Society | Free Academy | |\n| 1851 | unknown | Philolexian Society | Kalamazoo | |\n| 1851 | unknown | Philomathean Society | Waynesburg | |\n| 1851 | unknown | Philophronean Society | Otterbein | |\n| 1851 | unknown | Sherwood Rhetorical Society | Kalamazoo | |\n| 1851 | unknown | St. Aloysius Philodemics Society | Notre Dame | |\n| 1851 | unknown | Students Philomathean Society | Hartsville | |\n| 1851 | unknown | Union Society | Waynesburg | |\n| 1852 | Present | Philomathean Society | Wesleyan | |\n| 1852 | unknown | Gamma Epsilon Society | Lycoming | |\n| 1852 | unknown | Ladies Literary Society | Milton | |\n| 1852 | unknown | Philaletha Society | Otterbein | |\n| 1852 | unknown | Philomathean Society | Hiram | |\n| 1852 | unknown | Philomathian Society | Mississippi | |\n| 1852 | unknown | Philomethean Society | Wesleyan | |\n| 1852 | unknown | Phrenocosmian Society | Free Academy | |\n| 1853 | unknown | Amphictyon Society | Cornell College | |\n| 1853 | unknown | Chrestomathian Society | Grinnell | |\n| 1853 | unknown | Clio Society | Capital | |\n| 1853 | unknown | Emma Willards Society | Waynesburg | |\n| 1853 | unknown | Hentz Society | La Grange | |\n| 1853 | unknown | Judson Society | La Grange | |\n| 1853 | unknown | Parthenian Society | Baltimore | |\n| 1853 | unknown | Periclesian Society | Franklin | |\n| 1853 | unknown | Phi Nu Society | MacMurray | |\n| 1853 | unknown | Phileans Society | Waynesburg | |\n| 1853 | unknown | Union Literary Society | Geneva | |\n| 1853 | unknown | Webster Society | Franklin | |\n| 1854 | unknown | Alethezethian Society | Antioch | |\n| 1854 | Present | Archanian Society | Univ. of the Pacific | |\n| 1854 | unknown | Aristotelian Society | Central | |\n| 1854 | unknown | Calhoun Society | Wofford | |\n| 1854 | 1875 | Delphic Society | Hiram | |\n| 1854 | unknown | Erodelphian Society | Burlington | |\n| 1854 | unknown | Hamline Society | Iowa Wesleyan | |\n| 1854 | unknown | Hesperian Society | Hiram | |\n| 1854 | unknown | Hesperian Society | Wisconsin | |\n| 1854 | unknown | Linnaen Society | Mount Union | |\n| 1854 | unknown | Phi Alpha Society | Central | |\n| 1854 | unknown | Philomathian Society | Bethel | |\n| 1854 | unknown | Washington Society | Bethel | |\n| 1855 | unknown | Alethean Society | Baldwin | |\n| 1855 | unknown | Calliope Academy | Spring Hill | |\n| 1855 | unknown | Crescent Society | Antioch | |\n| 1855 | unknown | Curious Society | Milwaukee | |\n| 1855 | unknown | Erosophian Society | Marshall | |\n| 1855 | unknown | Hyperion Society | Marshall | |\n| 1855 | unknown | Philalethean Society | Lawrence | |\n| 1855 | unknown | Philologian Society | Richmond | |\n| 1855 | unknown | Philopenthean Society | Geneva | |\n| 1855 | unknown | Philophrenian Society | George Washington | |\n| 1855 | unknown | Phoenix Society | Lawrence | |\n| 1855 | unknown | Star Society | Antioch | |\n| 1856 | Defunct | Beltionian Society | Wheaton | |\n| 1856 | unknown | Hinman Society | Northwestern | |\n| 1856 | unknown | Mathesian Society | Northwestern Christian | |\n| 1856 | unknown | Philadelphian Society | Monmouth | |\n| 1856 | unknown | Philalethic Society | Santa Clara | |\n| 1856 | unknown | Philomathean Society | Willamette | |\n| 1856 | unknown | Philoneikean Society | Moores Hill | |\n| 1856 | unknown | Phoenix Band Society | Earlham | |\n| 1857 | unknown | Alpha Kappa Phi Society | Hillsdale | |\n| 1857 | unknown | Amphictyon Society | Hillsdale | |\n| 1857 | unknown | Eurodelphian Society | Spring Hill | |\n| 1857 | unknown | Hesperian Society | Ohio Female | |\n| 1857 | unknown | Ionian Society | Earlham | |\n| 1857 | unknown | Ladies Literary Union | Hillsdale | |\n| 1857 | unknown | Literary Adelphi Society | Michigan | |\n| 1857 | unknown | Philomathean Society | Otterbein | |\n| 1857 | unknown | Phreno-Cosmian Society | Baldwin | |\n| 1857 | unknown | Pythonian Society | Northwestern Christian | |\n| 1857 | unknown | Sigournean Society | Moores Hill | |\n| 1858 | unknown | Adelphian Society | Cornell College | |\n| 1858 | unknown | Athena Society | Lawrence | |\n| 1858 | unknown | Excelsior Society | Albright | |\n| 1858 | unknown | Preston Society | Wofford | |\n| 1858 | unknown | Rhizomian Society | Univ. of the Pacific | |\n| 1859 | unknown | Alethean Society | Beloit | |\n| 1859 | unknown | Archaean Society | Beloit | |\n| 1859 | unknown | Belles Letters Society | Illinois Wesleyan | |\n| 1859 | 1939 | Belles Lettres Society | Southern University (Greensboro, Alabama) | |\n| 1859 | 1939 | Clariosophic Society | Southern University (Greensboro, Alabama) | |\n| 1859 | unknown | Delean Society | Beloit | |\n| 1859 | Present | German Verein (now the Alpha Omega Chapter of Phi Kappa Tau Fraternity) | German Wallace | |\n| 1859 | unknown | Germanae Sodales Society | Hillsdale | |\n| 1859 | unknown | Literary Society | Maryland | |\n| 1859 | unknown | Neocosmian Society | Albright | |\n| 1859 | unknown | Philestorian Society | Santa Clara | |\n| 1859 | unknown | Ruthean Society | Iowa Wesleyan | |\n| 1859 | unknown | Sophronikopean Society | Missionary | |\n| 1859 | unknown | Star Society | Adrian | |\n| 1859 | unknown | Webster Society | Michigan | |\n| 1860 | unknown | Adelphian Society | Furman | |\n| 1860 | unknown | Adelphic Society | Northwestern | |\n| 1860 | unknown | Athenaeum Society | Chicago | |\n| 1860 | unknown | Erosophian Society | Lombard | |\n| 1860 | unknown | Eulexian Society | St. Stephen's | |\n| 1860 | unknown | Franklin Reading Society | Furman | |\n| 1860 | unknown | Philomathean Society | Milton | |\n| 1860 | unknown | Philosophian Society | Furman | |\n| 1860 | unknown | Reynolds Society | Stockwell | |\n| 1860 | Defunct | Philomathean Literary Society | Phi Kappa Sigma Male College | |\n| 1861 | unknown | Addisonian Society | Wayland | |\n| 1861 | unknown | Berean Society | Chicago | |\n| 1861 | unknown | Phi Alpha Pi Society | Olivet | |\n| 1861 | unknown | Tri Kappa Society | Chicago | |\n| 1861 | 1933 | Zetagathian Society | University of Iowa | |\n| 1862 | 1933 | Erodelphian Society | University of Iowa | |\n| 1863 | 1933 | Hesperian Society | University of Iowa | |\n| 1864 | 1929 | Irving Institute | University of Iowa | |\n| 1865 | unknown | De La Salle Club | Manhattan | |\n| 1865 | unknown | Erosophian Society | Baylor | |\n| 1865 | unknown | Irving Society | Andalusia, (Pa.) | |\n| 1865 | Present | Philalethean Society (now the Philaletheis Society) | Vassar | |\n| 1866 | unknown | Alka Society | Willamette | |\n| 1866 | unknown | Brown Debating Society | Stockwell | |\n| 1866 | unknown | Clionian Society | Almira | |\n| 1866 | unknown | Garnet Society | Lincoln | |\n| 1866 | unknown | Lincoln Association | Illinois Soldiers' | |\n| 1866 | unknown | Philomathean Society | Union Christian | |\n| 1866 | unknown | Robert E. V. Rice Society | Niagara | |\n| 1866 | unknown | Scientific Society | Wilberforce | |\n| 1866 | unknown | Semicentenary Society | Wilberforce | |\n| 1866 | unknown | St Joseph Society | St. Joseph College, New York | |\n| 1866 | unknown | Stonewall Society | Baylor | |\n| 1866 | unknown | Themian Society | Quincy | |\n| 1867 | unknown | Aristotelian Society | Harlem Springs | |\n| 1867 | unknown | Athenian Society | Tennessee Wesleyan | |\n| 1867 | unknown | Byronic Society | Harlem Springs | |\n| 1867 | unknown | Erosophian Society | Albion | |\n| 1867 | unknown | Eulexian Society | St. Augustine College, California | |\n| 1867 | unknown | Euterpean Society | Muhlenberg | |\n| 1867 | unknown | Neotrophian Society | Bethel | |\n| 1867 | unknown | Philokosmian Society | Lebanon Valley | |\n| 1867 | unknown | Philosophian Society | Lincoln | |\n| 1867 | unknown | Sophronian Society | Muhlenberg | |\n| 1867 | unknown | Zetalethean Society | Simpson | |\n| 1868 | unknown | Adelphene Society | Union Christian | |\n| 1868 | unknown | Alpha Delta Society | Hiram | |\n| 1868 | unknown | German Society | St. Xaviers | |\n| 1868 | 1888 | Irving Society | Cornell University | |\n| 1868 | unknown | Lehigh Junto | Lehigh | |\n| 1868 | unknown | Phi Delta Society | Berea | |\n| 1868 | unknown | Philocurian Society | Northwestern Christian | |\n| 1868 | unknown | Philomathean Society | Iowa State | |\n| 1868 | unknown | Philomathian Society | Illinois | |\n| 1869 | unknown | Athenaean Society | Kings College, Tennessee | |\n| 1869 | unknown | Basilian Society | Niagara | |\n| 1869 | Still active | Clionian Literary Society | McKendree | |\n| 1869 | unknown | Orthopatetic Society | Blackburn | |\n| 1869 | unknown | Philomathean Society | Tennessee Wesleyan | |\n| 1869 | unknown | Photozotean Society | Moore's hill | |\n| 1869 | unknown | Zenobian Society | Minnesota | |\n| 1870 | Defunct | Aristonian Society | Wheaton | |\n| 1870 | unknown | Atheneum Society | Willamette | |\n| 1870 | unknown | Bachelor Society | Iowa State | |\n| 1870 | 1906 | Baconian Society | Potsdam | |\n| 1870 | unknown | Castelian Society | Rockford | |\n| 1870 | unknown | Crescent Society | Iowa State | |\n| 1870 | unknown | Erodelphian Society | Highland | |\n| 1870 | unknown | Grinnell Institute | Grinnell | |\n| 1870 | unknown | Irving Society | Wooster | |\n| 1870 | unknown | Philologian Society | St Stephens | |\n| 1870 | unknown | Philotechnic Society | Louisiana State | |\n| 1870 | Present | Signet Society | Harvard | |\n| 1870 | unknown | Vesperian Society | Rockford | |\n| 1870 | unknown | Wayland Society | Brown | |\n| 1871 | unknown | Bettina Society | German Wallace | |\n| 1871 | unknown | Bonhommian Society | Highland | |\n| 1871 | unknown | Cliolian Society | Iowa State | |\n| 1871 | 1889 | Delphic Society | Geneseo | |\n| 1871 | unknown | Sodalian Society | Wilberforce | |\n| 1872 | unknown | Adelphic Society | Geneva | |\n| 1872 | Defunct | Excelsior Society | Wheaton | |\n| 1873 | Defunct | Clariosophic Literary Society | University of Arkansas | |\n| 1873 | Defunct | Alamo Society | Southwestern | |\n| 1874 | unknown | Ossoli Society | Northwestern | |\n| 1875 | Defunct | San Jacinto Society | Southwestern | |\n| 1876 | unknown | Eutaxian Society | Oregon | |\n| 1876 | unknown | Laurean Society | Oregon | |\n| 1876 | unknown | Stephen F. Austin Society | Texas A&M | |\n| 1877 | Present | Cleo of Alpha Chi | Trinity College | |\n| 1879 | unknown | Calliopean Society | Texas A&M | |\n| 1879 | Defunct | Arkansas Literary and Debating Society | Lyon College | |\n| 1881 | Defunct | Alethean Society | Southwestern | |\n| 1883 | Defunct | Philomathean Society | Lyon College | |\n| 1884 | unknown | L'Etoile | Lyon College | |\n| 1885 | Defunct | Clio Society | Southwestern | |\n| 1886 | Defunct | Garland Literary Society | University of Arkansas | |\n| 1886 | Defunct | Adelphian Circle | Ouachita Baptist University | |\n| 1888 | Defunct | Hermesian Literary Society | Ouachita Baptist University | |\n| 1888 | Defunct | Philomathean Literary Society | Ouachita Baptist University | |\n| 1889 | Present | Winthrop Literary Society | Winthrop | |\n| 1891 | Defunct | Gamma Sigma Literary Society | Henderson State University | |\n| 1891 | Defunct | Erosophic Society | Lyon College | |\n| 1892 | Defunct | Delta Sigma Society | Lyon College | |\n| 1895 | Defunct | Grady Literary Society | University of Arkansas | |\n| 1895 | 1928 | Philomathean Society | University of Iowa | |\n| 1897 | Present | Gamma Nu Society | Illinois | |\n| 1898 | 1939 | Eumenean Society (absorbed by the Clariosophic Society in when Southern University and Birmingham College merged to form Birmingham-Southern College in 1918) | Birmingham-Southern College | |\n| 1898 | 1939 | Robert E. Lee Society (absorbed by the Belles Lettres Society when Southern University and Birmingham College merged to form Birmingham-Southern College in 1918) | Birmingham-Southern College | |\n| 1898 | Defunct | Franklin Literary Society | Hendrix College | |\n| 1899 | Defunct | Harlan Literary Society | Hendrix College | |\n| 1900 | Defunct | Athenian Literary Society | Ouachita Baptist University | |\n| 1900 | 1933 | Octave Thanet | University of Iowa | |\n| 1900 | Defunct | Periclean Literary Society | University of Arkansas | |\n| 1905 | Defunct | Garland Literary Society | Henderson State University | |\n| 1904 | unknown | Sul Ross Literary Society | Texas A&M University | |\n| 1906 | Defunct | Lee Literary Society | University of Arkansas | |\n| 1907 | Defunct | Demosthenean Literary Society | University of Arkansas | |\n| 1908 | Defunct | Franklin Literary Society | University of Arkansas | |\n| 1911 | Present | Elizabethan Club | Yale | |\n| 1911 | Present | Gamma Delta Society | Illinois | |\n| 1912 | Defunct | Hesperian Society | Heidelberg | |\n| 1912 | Present | Philomathean Society | Univ. of the Pacific | |\n| 1913 | Present | Euglossian Society | Heidelberg | |\n| 1913 | Present | Philalethean Society | Heidelberg | |\n| 1913 | Present | Philalethean Society | Rutgers | |\n| 1913 | 1928 | Whitby | University of Iowa | |\n| 1914 | Defunct | Adelphian Society | Mountain Home College | |\n| 1915 | Defunct | Athenian Society | Mountain Home College | |\n| 1915 | Defunct | Hypatian Society | South Carolina | |\n| 1916 | 1933 | Athena | University of Iowa | |\n| 1916 | Present | Sigma Phi Epsilon Society | Illinois | |\n| 1920 | Present | Chi Beta Society | Illinois | |\n| 1920 | 1934 | Hamlin Garland | University of Iowa | |\n| 1921 | Present | Aptonalton Literary Society | Heidelberg University | |\n| 1921 | 1950 | Kappa Iota Literary Society | Alma College | |\n| 1923 | Defunct | Daedalian Literary Society | Indiana State Normal School | |\n| 1924 | Present | Euphrosynean Society | South Carolina | |\n| 1926 | 1928 | Delta Rho Society | Lyon College | |\n| 1928 | Present | American Whig-Cliosophic Society | Princeton | |\n| 1929 | Present | Pi Pi Rho Society | Illinois | |\n| 1947 | Present | Alpha Omega Delta Literary Society | Bob Jones University | |\n| 1991 | Present | Philomathean Society | Union | |\n| 2015 | Present | Franklin Society | Virginia | |" + } + ] + }, + { + "id": "table_recognition_train_item_112815", + "image": "table_instructV/images/Rotowire_train_table_750.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Grizzlies | Memphis | 90 | 15 | 20 | 22 | 33 | 22 | 41 | 13 | 38 | 74 | 17 | 36 | 30 | | | | |\n| Hawks | Atlanta | 107 | 33 | 14 | 30 | 30 | 22 | 46 | 18 | 50 | 77 | 50 | 37 | 29 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Grizzlies | | | | | | | | | | | | | | | | | | |\n| JaMychal Green | 26 | 20 | 11 | 0 | 8-12 | 67% | 1-1 | 100% | 3-3 | 100% | 0 | 1 | 1 | 7 | 4 | 4 | F | Memphis |\n| Mike Conley | 32 | 16 | 1 | 5 | 5-12 | 42% | 1-7 | 14% | 5-5 | 100% | 5 | 3 | 0 | 0 | 1 | 2 | G | Memphis |\n| Brandan Wright | 13 | 10 | 4 | 1 | 4-6 | 67% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 4 | 1 | N/A | Memphis |\n| Zach Randolph | 18 | 9 | 2 | 1 | 4-7 | 57% | 0-1 | 0% | 1-2 | 50% | 0 | 4 | 0 | 1 | 1 | 3 | N/A | Memphis |\n| Marc Gasol | 27 | 8 | 6 | 2 | 3-11 | 27% | 1-3 | 33% | 1-2 | 50% | 1 | 3 | 0 | 0 | 6 | 2 | C | Memphis |\n| Chandler Parsons | 23 | 5 | 2 | 3 | 2-7 | 29% | 1-2 | 50% | 0-0 | 0% | 1 | 0 | 1 | 1 | 1 | 1 | F | Memphis |\n| James Ennis III | 18 | 5 | 3 | 2 | 2-7 | 29% | 0-3 | 0% | 1-2 | 50% | 0 | 0 | 1 | 0 | 3 | 1 | G | Memphis |\n| Tony Allen | 21 | 4 | 5 | 3 | 2-7 | 29% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 3 | 2 | 1 | N/A | Memphis |\n| Toney Douglas | 6 | 4 | 1 | 0 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 1 | N/A | Memphis |\n| Vince Carter | 21 | 4 | 2 | 2 | 1-5 | 20% | 0-3 | 0% | 2-2 | 100% | 3 | 0 | 0 | 0 | 2 | 1 | N/A | Memphis |\n| Troy Daniels | 22 | 3 | 1 | 0 | 1-10 | 10% | 1-7 | 14% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Memphis |\n| Andrew Harrison | 14 | 2 | 3 | 3 | 0-3 | 0% | 0-2 | 0% | 2-5 | 40% | 1 | 0 | 0 | 0 | 3 | 3 | N/A | Memphis |\n| Hawks | | | | | | | | | | | | | | | | | | |\n| Taurean Prince | 31 | 17 | 3 | 2 | 5-6 | 83% | 3-4 | 75% | 4-4 | 100% | 2 | 2 | 2 | 0 | 3 | 0 | N/A | Atlanta |\n| Paul Millsap | 33 | 16 | 11 | 6 | 5-12 | 42% | 1-3 | 33% | 5-7 | 71% | 1 | 1 | 1 | 2 | 9 | 2 | F | Atlanta |\n| Dennis Schroder | 29 | 16 | 7 | 8 | 7-15 | 47% | 1-4 | 25% | 1-2 | 50% | 3 | 6 | 0 | 1 | 6 | 3 | G | Atlanta |\n| Kent Bazemore | 26 | 15 | 2 | 0 | 6-10 | 60% | 3-7 | 43% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 0 | G | Atlanta |\n| Jose Calderon | 19 | 14 | 3 | 1 | 4-6 | 67% | 2-3 | 67% | 4-5 | 80% | 0 | 1 | 0 | 0 | 3 | 4 | N/A | Atlanta |\n| Ersan Ilyasova | 18 | 9 | 2 | 2 | 2-5 | 40% | 1-2 | 50% | 4-4 | 100% | 1 | 1 | 0 | 0 | 2 | 6 | N/A | Atlanta |\n| Thabo Sefolosha | 23 | 8 | 4 | 2 | 3-5 | 60% | 2-4 | 50% | 0-0 | 0% | 1 | 3 | 0 | 0 | 4 | 3 | F | Atlanta |\n| Tim Hardaway Jr. | 21 | 8 | 3 | 1 | 3-5 | 60% | 2-3 | 67% | 0-0 | 0% | 1 | 0 | 0 | 1 | 2 | 1 | N/A | Atlanta |\n| DeAndre' Bembry | 3 | 2 | 0 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Atlanta |\n| Kris Humphries | 20 | 1 | 8 | 0 | 0-3 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 2 | 1 | 7 | 4 | C | Atlanta |\n| Ryan Kelly | 3 | 1 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Atlanta |\n| Mike Muscala | 16 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 1 | 0 | 2 | 0 | N/A | Atlanta |\n| Malcolm Delaney | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |" + } + ] + }, + { + "id": "table_recognition_train_item_31018", + "image": "table_instructV/images/TABMWP_3192.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $235 | 21,000 | 2,200 |\n| $435 | 17,200 | 4,400 |\n| $635 | 13,400 | 6,600 |\n| $835 | 9,600 | 8,800 |\n| $1,035 | 5,800 | 11,000 |" + } + ] + }, + { + "id": "table_recognition_train_item_65574", + "image": "table_instructV/images/TabFact_2-12150688-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| week | date | opponent | home / away game | result |\n| --- | --- | --- | --- | --- |\n| 1 | january 28 | nashville kats | home | l 57 - 28 |\n| 2 | february 3 | chicago rush | away | w 51 - 47 |\n| 3 | february 11 | utah blaze | away | w 84 - 81 |\n| 4 | february 19 | philadelphia soul | away | l 75 - 59 |\n| 5 | february 26 | orlando predators | home | w 55 - 35 |\n| 6 | march 3 | columbus destroyers | home | l 65 - 54 |\n| 7 | march 12 | austin wranglers | away | w 59 - 56 |\n| 8 | march 18 | tampa bay storm | away | l 60 - 44 |\n| 9 | march 24 | kansas city brigade | home | w 54 - 48 |\n| 10 | april 1 | grand rapids rampage | home | w 48 - 24 |\n| 11 | april 9 | dallas desperados | home | l 48 - 26 |\n| 12 | april 14 | columbus destroyers | away | w 64 - 57 |\n| 13 | april 23 | los angeles avengers | away | w 70 - 61 |\n| 14 | april 29 | philadelphia soul | home | w 65 - 58 |\n| 15 | may 6 | georgia force | home | w 47 - 35 |\n| 16 | may 12 | dallas desperados | away | l 82 - 38 |" + } + ] + }, + { + "id": "table_recognition_train_item_104408", + "image": "table_instructV/images/ToTTo_train_table_18569.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Year | League | Reg. Season | Playoffs | Attendance Average |\n| --- | --- | --- | --- | --- |\n| 1997 | EISL | 7th EISL, 3–21 | Did not qualify | N/A |\n| 1998 | EISL | 2nd EISL, 18–10 | Won Semi-Finals vs. Huntsville Fire (2–1); Lost Final vs. Lafayette SwampCats (10–9) | 3,187 |" + } + ] + }, + { + "id": "table_recognition_train_item_60312", + "image": "table_instructV/images/TabFact_2-10362209-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | august 31 , 1997 | buffalo bills | w 34 - 13 | 79139 |\n| 2 | september 7 , 1997 | chicago bears | w 27 - 24 | 59263 |\n| 3 | september 14 , 1997 | tampa bay buccaneers | l 28 - 14 | 63697 |\n| 4 | september 21 , 1997 | green bay packers | l 38 - 32 | 60115 |\n| 5 | september 28 , 1997 | philadelphia eagles | w 28 - 19 | 55149 |\n| 6 | october 5 , 1997 | arizona cardinals | w 20 - 19 | 45550 |\n| 7 | october 12 , 1997 | carolina panthers | w 21 - 14 | 62625 |\n| 9 | october 26 , 1997 | tampa bay buccaneers | w 10 - 6 | 66815 |\n| 10 | november 2 , 1997 | new england patriots | w 23 - 18 | 62917 |\n| 11 | november 9 , 1997 | chicago bears | w 29 - 22 | 63443 |\n| 12 | november 16 , 1997 | detroit lions | l 38 - 15 | 68910 |\n| 13 | november 23 , 1997 | new york jets | l 23 - 21 | 70131 |\n| 14 | december 1 , 1997 | green bay packers | l 27 - 11 | 64001 |\n| 15 | december 7 , 1997 | san francisco 49ers | l 28 - 17 | 55761 |\n| 16 | december 14 , 1997 | detroit lions | l 14 - 13 | 60982 |\n| 17 | december 21 , 1997 | indianapolis colts | w 39 - 28 | 54107 |" + } + ] + }, + { + "id": "table_recognition_train_item_108310", + "image": "table_instructV/images/ToTTo_train_table_34967.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Theme week | Song sung | Artist | result |\n| --- | --- | --- | --- |\n| Audition | \"In Dinoo\" | Soham Chakraborty | Given Ticket |\n| Semifinals Group2 | \"Arziyyan\" | Javed Ali | Eliminated |\n| Wild Card | \"Sayyan\" | Kailash Kher | Wild Card |\n| Top 13 60s & 70s Hits of Pakistani Music | \"Bhul Jaan Gham Duniya De\" | Masood Rana | Advanced |\n| Top 12 Love | \"Sohni Lagdi Mainu\" | Sajjad Ali | Advanced |\n| Top 11 Pakistani Pop Music | \"Har Zulm Tera\" | Sajjad Ali | Advanced |\n| Top 10 Songs of Memories | \"Naina Thag Lenge\" | Rahat Fateh Ali Khan | Advanced |\n| Top 9 Party Music | \"Main Tere Agal Bagal\" | Mika Singh | Advanced |\n| Top 8 Personal Idol Songs | \"Ya Rabba\" | Kailash Kher | Advanced |\n| Top 7 National Songs | \"Chand Meri Zameen Phool Mera Watan\" | Amanat Ali Khan | Advanced |\n| Top 6 Judge's Choice | \"Mitwa\" | Shafqat Amanat Ali | Advanced |\n| Top 5 Songs of Ali Zafar | \"Jugnoon Se Bhar Lay Anchaal\" | Ali Zafar | Bottom 2 |\n| Top 4 Qawwali theme | \"Ajaa Teno Akhiyaan\" | Nusrat Fateh Ali Khan | Eliminated |" + } + ] + }, + { + "id": "table_recognition_train_item_69134", + "image": "table_instructV/images/TabFact_1-16383772-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| school | location | founded | affiliation | enrollment | nickname | primary conference |\n| --- | --- | --- | --- | --- | --- | --- |\n| binghamton university | vestal , ny | 1946 | public | 14898 | bearcats | america east conference ( d - i ) |\n| university at buffalo | buffalo , ny | 1846 | public | 28192 | bulls | mid - american conference ( d - i ) |\n| canisius college | buffalo , ny | 1870 | private / roman catholic | 5152 | golden griffins | metro atlantic athletic conference ( d - i ) |\n| cornell university | ithaca , ny | 1865 | private / non - sectarian | 19800 | big red | ivy league ( d - i ) |\n| ithaca college | ithaca , ny | 1892 | private / non - sectarian | 6448 | bombers | empire 8 ( d - iii ) |\n| niagara university | lewiston , ny | 1856 | private / catholic | 3746 | purple eagles | metro atlantic athletic conference ( d - i ) |\n| rochester institute of technology | henrietta , ny | 1829 | private / non - sectarian | 13861 | tigers | empire 8 ( d - iii ) |\n| st bonaventure university | allegany , ny | 1858 | private / catholic | 2700 | bonnies | atlantic 10 conference ( d - i ) |\n| suny cortland | cortland , ny | 1868 | public | 7234 | red dragons | sunyac ( d - iii ) |\n| suny oswego | oswego , ny | 1861 | public | 8909 | lakers | sunyac ( d - iii ) |" + } + ] + }, + { + "id": "table_recognition_train_item_58552", + "image": "table_instructV/images/TabFact_2-15987011-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | september 1 , 1991 | los angeles raiders | w 47 - 17 | 61367 |\n| 2 | september 8 , 1991 | cincinnati bengals | w 30 - 7 | 56463 |\n| 3 | september 16 , 1991 | kansas city chiefs | w 17 - 7 | 61058 |\n| 4 | september 22 , 1991 | new england patriots | l 24 - 20 | 30702 |\n| 6 | october 6 , 1991 | denver broncos | w 42 - 14 | 59145 |\n| 7 | october 13 , 1991 | new york jets | w 23 - 20 | 70758 |\n| 8 | october 20 , 1991 | miami dolphins | w 17 - 13 | 60705 |\n| 9 | october 27 , 1991 | cincinnati bengals | w 35 - 3 | 58634 |\n| 10 | november 3 , 1991 | washington redskins | l 16 - 13 | 55096 |\n| 11 | november 10 , 1991 | dallas cowboys | w 26 - 23 | 63001 |\n| 12 | november 17 , 1991 | cleveland browns | w 28 - 24 | 58155 |\n| 13 | november 24 , 1991 | pittsburgh steelers | l 26 - 14 | 45795 |\n| 14 | december 2 , 1991 | philadelphia eagles | l 13 - 6 | 61141 |\n| 15 | december 8 , 1991 | pittsburgh steelers | w 31 - 6 | 59225 |\n| 16 | december 15 , 1991 | cleveland browns | w 17 - 14 | 55680 |\n| 17 | december 21 , 1991 | new york giants | l 24 - 20 | 63421 |" + } + ] + }, + { + "id": "table_recognition_train_item_30882", + "image": "table_instructV/images/TABMWP_1623.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Number of apartments | Number of windows |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_101794", + "image": "table_instructV/images/ToTTo_train_table_7636.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Country | Mass (g) | Volume (mL) | 500 mL of 5% ABV beer is |\n| --- | --- | --- | --- |\n| Australia | 10 | 12.7 | 2.0 standard drinks |\n| Austria | 20 | 25.3 | 1.0 standard drinks |\n| Canada | 13.6 | 17.2 | 1.4 standard drinks |\n| Denmark | 12 | 15.2 | 1.6 standard drinks |\n| Finland | 12 | 15.2 | 1.6 standard drinks |\n| France | 10 | 12.7 | 2.0 standard drinks |\n| Germany | 10 | 12.7 | 2.0 standard drinks |\n| Hong Kong | 10 | 12.7 | 2.0 standard drinks |\n| Hungary | 17 | 21.5 | 1.2 standard drinks |\n| Iceland | 8 | 10 | 2.5 standard drinks |\n| Ireland | 10 | 12.7 | 2.0 standard drinks |\n| Italy | 10 | 12.7 | 2.0 standard drinks |\n| Japan | 19.75 | 25 | 1.0 standard drinks |\n| Netherlands | 10 | 12.7 | 2.0 standard drinks |\n| New Zealand | 10 | 12.7 | 2.0 standard drinks |\n| Poland | 10 | 12.7 | 2.0 standard drinks |\n| Portugal | 14 | 17.7 | 1.4 standard drinks |\n| Spain | 10 | 12.7 | 2.0 standard drinks |\n| Switzerland | 12 | 15.2 | 1.6 standard drinks |\n| United Kingdom | 8 | 10 | 2.5 units of alcohol |\n| United States | 14 | 17.7 | 1.4 standard drinks |" + } + ] + }, + { + "id": "table_recognition_train_item_32065", + "image": "table_instructV/images/TABMWP_13987.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Number of bags | Number of glass beads |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_52208", + "image": "table_instructV/images/TabFact_1-29565120-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| skip (club) | w | l | pf | pa | ends won | ends lost | blank ends | stolen ends |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| jim cotter (kelowna) | 9 | 0 | 64 | 40 | 39 | 31 | 14 | 7 |\n| neil dangerfield (victoria) | 7 | 2 | 74 | 49 | 43 | 29 | 5 | 14 |\n| jeff richard (kelowna) | 7 | 2 | 69 | 57 | 40 | 37 | 8 | 10 |\n| brent yamada (kamloops) | 4 | 5 | 53 | 50 | 36 | 37 | 12 | 7 |\n| aron herrick (vernon) | 4 | 5 | 55 | 69 | 41 | 37 | 7 | 9 |\n| darren heath (vernon) | 4 | 5 | 58 | 50 | 39 | 40 | 9 | 13 |\n| brent pierce (royal city) | 3 | 6 | 48 | 59 | 32 | 30 | 7 | 8 |\n| sean geall (royal city) | 3 | 6 | 54 | 60 | 33 | 41 | 7 | 6 |\n| tom buchy (kimberley) | 3 | 6 | 49 | 70 | 35 | 41 | 5 | 8 |" + } + ] + }, + { + "id": "table_recognition_train_item_54210", + "image": "table_instructV/images/TabFact_2-12845546-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| date | opponents | result f - a | attendance | league position |\n| --- | --- | --- | --- | --- |\n| 19 august 2001 | fulham | 3 - 2 | 67534 | 4th |\n| 22 august 2001 | blackburn rovers | 2 - 2 | 29836 | 3rd |\n| 26 august 2001 | aston villa | 1 - 1 | 42632 | 5th |\n| 8 september 2001 | everton | 4 - 1 | 67534 | 2nd |\n| 15 september 2001 | newcastle united | 3 - 4 | 52056 | 4th |\n| 22 september 2001 | ipswich town | 4 - 0 | 67551 | 3rd |\n| 29 september 2001 | tottenham hotspur | 5 - 3 | 36038 | 2nd |\n| 13 october 2001 | sunderland | 3 - 1 | 48305 | 3rd |\n| 20 october 2001 | bolton wanderers | 1 - 2 | 67559 | 3rd |\n| 27 october 2001 | leeds united | 1 - 1 | 67555 | 5th |\n| 4 november 2001 | liverpool | 1 - 3 | 44361 | 6th |\n| 17 november 2001 | leicester city | 2 - 0 | 67651 | 4th |\n| 25 november 2001 | arsenal | 1 - 3 | 38174 | 6th |\n| 1 december 2001 | chelsea | 0 - 3 | 67544 | 7th |\n| 8 december 2001 | west ham united | 0 - 1 | 67582 | 9th |\n| 12 december 2001 | derby county | 5 - 0 | 67577 | 5th |\n| 15 december 2001 | middlesbrough | 1 - 0 | 34358 | 5th |\n| 22 december 2001 | southampton | 6 - 1 | 67638 | 4th |\n| 26 december 2001 | everton | 2 - 0 | 39948 | 5th |\n| 30 december 2001 | fulham | 3 - 2 | 21159 | 5th |\n| 2 january 2002 | newcastle united | 3 - 1 | 67646 | 2nd |\n| 13 january 2002 | southampton | 3 - 1 | 31858 | 1st |\n| 19 january 2002 | blackburn rovers | 2 - 1 | 67552 | 1st |\n| 22 january 2002 | liverpool | 0 - 1 | 67599 | 1st |\n| 29 january 2002 | bolton wanderers | 4 - 0 | 27350 | 1st |\n| 2 february 2002 | sunderland | 4 - 1 | 67587 | 1st |\n| 10 february 2002 | charlton athletic | 2 - 0 | 26475 | 1st |\n| 23 february 2002 | aston villa | 1 - 0 | 67592 | 1st |\n| 3 march 2002 | derby county | 2 - 2 | 33041 | 1st |\n| 6 march 2002 | tottenham hotspur | 4 - 0 | 67599 | 1st |\n| 16 march 2002 | west ham united | 5 - 3 | 35281 | 1st |\n| 23 march 2002 | middlesbrough | 0 - 1 | 67683 | 1st |\n| 30 march 2002 | leeds united | 4 - 3 | 40058 | 2nd |\n| 6 april 2002 | leicester city | 1 - 0 | 21447 | 2nd |\n| 20 april 2002 | chelsea | 3 - 0 | 41725 | 2nd |\n| 27 april 2002 | ipswich town | 1 - 0 | 28433 | 2nd |\n| 8 may 2002 | arsenal | 0 - 1 | 67580 | 3rd |\n| 11 may 2002 | charlton athletic | 0 - 0 | 67571 | 3rd |" + } + ] + }, + { + "id": "table_recognition_train_item_49930", + "image": "table_instructV/images/TAT-QA_195174fe-dd0a-40b1-9139-21fb207f382a.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| | Percentage of Plan Assets at December | |\n| --- | --- | --- |\n| Asset Category | 2019 | 2018 |\n| Cash and cash equivalents | 1% | 2% |\n| Equity securities | 24% | 27% |\n| Government debt securities | 12% | 3% |\n| Corporate debt securities | 16% | 26% |\n| Investments in funds(a) | 21% | 17% |\n| Real estate | 2% | 3% |\n| Other (mainly insurance assets – contracts and reserves) | 24% | 22% |\n| Total | 100% | 100% |" + } + ] + }, + { + "id": "table_recognition_train_item_106976", + "image": "table_instructV/images/ToTTo_train_table_29325.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| No. | Batsman | Runs | Team | Opposition | Venue | Match date | Format | Ref |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | Russell Endean | 3 | South Africa | England | Newlands, Cape Town | 1 January 1957 | Test | |\n| 2 | Andrew Hilditch | 29 | Australia | Pakistan | WACA, Perth | 24 March 1979 | Test | |\n| 3 | Mohsin Khan | 58 | Pakistan | Australia | National Stadium, Karachi | 22 September 1982 | Test | |\n| 4 | Desmond Haynes | 55 | West Indies | India | Wankhede Stadium, Bombay | 24 November 1983 | Test | |\n| 5 | Mohinder Amarnath | 15 | India | Australia | Melbourne Cricket Ground, Melbourne | 9 February 1986 | ODI | |\n| 6 | Graham Gooch | 133 | England | Australia | Old Trafford, Manchester | 3 June 1993 | Test | |\n| 7 | Daryll Cullinan | 46 | South Africa | West Indies | Kingsmead, Durban | 27 January 1999 | ODI | |\n| 8 | Steve Waugh | 47 | Australia | India | MA Chidambaram Stadium, Chennai | 18 March 2001 | Test | |\n| 9 | Michael Vaughan | 64 | England | India | M Chinnaswamy Stadium, Bangalore | 19 December 2001 | Test | |\n| 10 | Chamu Chibhabha | 18 | Zimbabwe | Afghanistan | Queens Sports Club, Bulawayo | 20 October 2015 | ODI | |" + } + ] + }, + { + "id": "table_recognition_train_item_66140", + "image": "table_instructV/images/TabFact_2-15986484-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| pick | nfl team | player | position | college |\n| --- | --- | --- | --- | --- |\n| 18 | tennessee oilers | kenny holmes | defensive end | miami |\n| 46 | tennessee oilers | joey kent | wide receiver | tennessee |\n| 75 | tennessee oilers | denard walker | cornerback | kent state |\n| 81 | tennessee oilers | scott sanderson | offensive tackle | washington state |\n| 98 | tennessee oilers | derrick mason | wide receiver | michigan state |\n| 107 | tennessee oilers | pratt lyons | defensive lineman | troy state |\n| 143 | tennessee oilers | george mccullough | defensive back | baylor |\n| 181 | tennessee oilers | dennis stallings | linebacker | illinois |\n| 216 | tennessee oilers | armon williams | linebacker | arizona |" + } + ] + }, + { + "id": "table_recognition_train_item_34615", + "image": "table_instructV/images/TABMWP_7881.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 5 | 17 |\n| 6 | 8 |\n| 7 | 7 |" + } + ] + }, + { + "id": "table_recognition_train_item_102138", + "image": "table_instructV/images/ToTTo_train_table_9053.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Particulars | Total | Male | Female |\n| --- | --- | --- | --- |\n| Total No. of Houses | 17 | | |\n| Population | 110 | 57 | 53 |\n| Child (0-6) | 16 | 6 | 10 |\n| Schedule Caste | 24 | 9 | 15 |\n| Schedule Tribe | 0 | 0 | 0 |\n| Literacy | 74.47 % | 76.47 % | 72.09 % |\n| Total Workers | 28 | 25 | 3 |\n| Main Worker | 26 | 0 | 0 |\n| Marginal Worker | 2 | 2 | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_32305", + "image": "table_instructV/images/TABMWP_16580.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Number of drawers | Number of shirts |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | 10 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_64186", + "image": "table_instructV/images/TabFact_2-16772687-11.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| player | nationality | jersey number (s) | position | years | from |\n| --- | --- | --- | --- | --- | --- |\n| bob kauffman | united states | 22 | pf / c | 1968 - 1969 | guilford |\n| greg kelser | united states | 3 | sf | 1982 - 1982 | michigan state |\n| shawn kemp | united states | 40 | pf | 1990 - 1997 | trinity valley community college |\n| joe kennedy | united states | 34 | sf | 1969 - 1970 | duke |\n| jerome kersey | united states | 7 | sf | 1997 - 1998 | longwood |\n| chris king | united states | 35 | pf / sf | 1997 - 1998 | wake forest |\n| reggie king | united states | 51 | pf / sf | 1983 - 1985 | alabama |\n| rich king | united states | 25 , 45 | c | 1991 - 1995 | nebraska |\n| curtis kitchen | united states | 42 | pf | 1986 | south florida |\n| bart kofoed | united states | 23 | pg | 1991 - 1992 | nebraska - kearney |\n| don kojis | united states | 44 , 22 | sf | 1970 - 1972 | marquette |\n| tommy kron | united states | 11 | sg | 1967 - 1969 | kentucky |\n| ibrahim kutluay | turkey | 11 | sg | 2004 - 2005 | ülkerspor |" + } + ] + }, + { + "id": "table_recognition_train_item_114461", + "image": "table_instructV/images/Rotowire_train_table_1573.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wizards | Washington | 105 | 27 | 33 | 21 | 24 | 25 | 43 | 6 | 50 | 62 | 58 | 39 | 28 | | | | |\n| Trail Blazers | Portland | 97 | 20 | 20 | 34 | 23 | 19 | 48 | 10 | 40 | 85 | 29 | 44 | 21 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| Bradley Beal | 39 | 23 | 4 | 7 | 8-13 | 62% | 4-4 | 100% | 3-6 | 50% | 1 | 0 | 0 | 1 | 3 | 2 | G | Washington |\n| John Wall | 41 | 21 | 9 | 11 | 10-23 | 44% | 0-1 | 0% | 1-2 | 50% | 2 | 2 | 2 | 0 | 9 | 1 | G | Washington |\n| Paul Pierce | 32 | 16 | 5 | 1 | 4-9 | 44% | 2-5 | 40% | 6-8 | 75% | 2 | 1 | 0 | 0 | 5 | 3 | F | Washington |\n| Marcin Gortat | 38 | 16 | 9 | 0 | 8-10 | 80% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 2 | 7 | 2 | C | Washington |\n| Nene | 31 | 12 | 7 | 2 | 5-13 | 39% | 0-0 | 0% | 2-4 | 50% | 0 | 2 | 1 | 2 | 5 | 5 | F | Washington |\n| Drew Gooden | 21 | 9 | 2 | 1 | 4-7 | 57% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 1 | N/A | Washington |\n| Rasual Butler | 16 | 5 | 1 | 0 | 2-6 | 33% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Washington |\n| Ramon Sessions | 16 | 3 | 4 | 3 | 0-0 | 0% | 0-0 | 0% | 3-4 | 75% | 0 | 0 | 0 | 0 | 4 | 1 | N/A | Washington |\n| Kevin Seraphin | 6 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Washington |\n| Otto Porter | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Martell Webster | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| DeJuan Blair | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Toure' Murry | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Trail Blazers | | | | | | | | | | | | | | | | | | |\n| LaMarcus Aldridge | 38 | 24 | 12 | 3 | 10-19 | 53% | 0-1 | 0% | 4-6 | 67% | 0 | 1 | 1 | 8 | 4 | 2 | F | Portland |\n| Arron Afflalo | 27 | 15 | 2 | 0 | 5-9 | 56% | 2-5 | 40% | 3-3 | 100% | 0 | 0 | 0 | 1 | 1 | 4 | G | Portland |\n| Damian Lillard | 39 | 14 | 4 | 9 | 5-18 | 28% | 2-8 | 25% | 2-2 | 100% | 0 | 3 | 1 | 0 | 4 | 2 | G | Portland |\n| Nicolas Batum | 40 | 12 | 15 | 5 | 4-12 | 33% | 2-6 | 33% | 2-2 | 100% | 1 | 2 | 1 | 1 | 14 | 2 | F | Portland |\n| Chris Kaman | 13 | 12 | 4 | 0 | 5-8 | 63% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 2 | 2 | 1 | N/A | Portland |\n| Robin Lopez | 30 | 8 | 4 | 0 | 3-6 | 50% | 0-0 | 0% | 2-3 | 67% | 0 | 2 | 0 | 1 | 3 | 2 | C | Portland |\n| CJ McCollum | 18 | 5 | 0 | 1 | 2-5 | 40% | 1-2 | 50% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 1 | N/A | Portland |\n| Steve Blake | 12 | 3 | 2 | 1 | 1-4 | 25% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Portland |\n| Meyers Leonard | 15 | 2 | 4 | 0 | 1-6 | 17% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 3 | 0 | N/A | Portland |\n| Dorell Wright | 8 | 2 | 1 | 0 | 0-2 | 0% | 0-1 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 1 | 4 | N/A | Portland |\n| Joel Freeland | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Allen Crabbe | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Alonzo Gee | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |" + } + ] + }, + { + "id": "table_recognition_train_item_104164", + "image": "table_instructV/images/ToTTo_train_table_17478.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| 1 | Great Barrier Reef |\n| --- | --- |\n| 2 | Fraser Island |\n| 3 | Glasshouse Mountains |\n| 4 | Whitsundays |\n| 5 | Daintree Rainforest |\n| 6 | Outback Queensland |\n| 7 | Carnarvon Gorge |\n| 8 | Stradbroke Island |\n| 9 | Lamington National Park |\n| 10 | Bunya Mountains |\n| 11 | Moreton Bay |\n| 12 | Barron Falls |\n| 13 | Springbrook National Park |\n| 14 | Magnetic Island |\n| 15 | Undara Lava Tubes |" + } + ] + }, + { + "id": "table_recognition_train_item_69866", + "image": "table_instructV/images/TabFact_2-15989009-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| date | venue | score | result | competition |\n| --- | --- | --- | --- | --- |\n| 25 august 2007 | national soccer stadium , apia | 1 - 0 | 12 - 1 | 2007 south pacific games |\n| 25 august 2007 | national soccer stadium , apia | 2 - 0 | 12 - 1 | 2007 south pacific games |\n| 3 september 2007 | national soccer stadium , apia | 1 - 0 | 3 - 0 | 2007 south pacific games |\n| 3 september 2007 | national soccer stadium , apia | 2 - 0 | 3 - 0 | 2007 south pacific games |\n| 7 july 2011 | lawson tama stadium , honiara | 2 - 0 | 2 - 1 | friendly |\n| 27 august 2011 | stade rivière salée , nouméa | 3 - 0 | 7 - 0 | 2011 pacific games |\n| 27 august 2011 | stade rivière salée , nouméa | 4 - 0 | 7 - 0 | 2011 pacific games |\n| 27 august 2011 | stade rivière salée , nouméa | 7 - 0 | 7 - 0 | 2011 pacific games |\n| 30 august 2011 | stade rivière salée , nouméa | 1 - 0 | 4 - 0 | 2011 pacific games |\n| 3 september 2011 | stade rivière salée , nouméa | 1 - 0 | 6 - 1 | 2011 pacific games |\n| 3 september 2011 | stade rivière salée , nouméa | 4 - 0 | 6 - 1 | 2011 pacific games |\n| 2 june 2012 | lawson tama stadium , honiara | 1 - 0 | 1 - 0 | 2012 ofc nations cup |\n| 6 june 2012 | lawson tama stadium , honiara | 1 - 1 | 1 - 1 | 2012 ofc nations cup |\n| 10 june 2012 | lawson tama stadium , honiara | 2 - 3 | 3 - 4 | 2012 ofc nations cup |\n| 10 june 2012 | lawson tama stadium , honiara | 3 - 3 | 3 - 4 | 2012 ofc nations cup |" + } + ] + }, + { + "id": "table_recognition_train_item_33665", + "image": "table_instructV/images/TABMWP_31339.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Number of sheets | Number of stamps |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_107207", + "image": "table_instructV/images/ToTTo_train_table_30275.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Year | Class | Champion | Record | Head Coach | 'Score | Runner-up | Third Place | Score | Fourth Place | Venue |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1927 | — | Northeast (Kansas City) | | Reaves Peters | 27-17 | Central (Springfield) | Central (St. Joseph) | 25-10 | Jackson | Rothwell & Girls Gym, UMC, Columbia |\n| 1928 | — | Oregon | 34-2 | Ivan Nigh | 25-16 | Central (Springfield) | Soldan | 24-22 | Warren County | Rothwell & Girls Gym, UMC, Columbia |\n| 1929 | — | East (Kansas City) | | J.C. Cohlmeyer | 30-18 | Southwest (Kansas City) | William Chrisman | 48-9 | Pleasant Hope | Rothwell Gym, UMC, Columbia |\n| 1930 | — | Central (Kansas City) | | Frank Guemple | 13-11 | East (Kansas City) | Soldan | 43-12 | Windsor | Rothwell & Brewer FH, UMC, Columbia |\n| 1931 | — | Benton (St. Joseph) | 21-2 | Paul B. Springer | 21-18 | New Point | Kirksville | 20-18 | Westport (Kansas City) | Rothwell & Brewer FH, UMC, Columbia |\n| 1932 | A | Rockhurst | | Ed Halpin | 17-15 | Joplin | Christian Brothers (St. Joe) 20-6 | | Jefferson City | Rothwell & Brewer FH, UMC, Columbia |\n| 1932 | B | Fruitland | 28-2 | R.B. Lewis | 21-14 | University High (Cape Gir.) | Forsyth | 27-17 | Competition | Rothwell & Brewer FH, UMC, Columbia |\n| 1933 | A | Beaumont | | R.G. Polster | 29-23 | St. Louis Univ. High | Roosevelt | 21-17 | East (Kansas City) | Brewer Fieldhouse, UMC, Columbia |\n| 1933 | B | Christian Brothers | 21-2 | William Klemm | 23-15 | Jackson | St. James | 11-10 | Desloge | Brewer Fieldhouse, UMC, Columbia |\n| 1934 | — | Jackson | 20-2 | Ryland Milner | 17-11 | Southwest (Kansas City) | Doniphan | 29-22* | Beaumont | Brewer Fieldhouse, UMC, Columbia |\n| 1935 | — | Northeast (Kansas City) | | R.E. Peters | 23-21 | Hickman | Warrensburg | 36-24 | Fruitland | Brewer Fieldhouse, UMC, Columbia |\n| 1936 | — | Hickman | 24-0 | Glenn Smith | 28-24 | Joplin | Maryville | 23-21 | William Chrisman | Brewer Fieldhouse, UMC, Columbia |\n| 1937 | — | Maryville | 32-0 | W.H. Smith | 51-27 | Central (Springfield) | Bonne Terre | 31-30 | Joplin | Brewer Fieldhouse, UMC, Columbia |\n| 1938 | — | Houston | | Duke Hiett | 34-26 | University High (Cape Gir.) | Maryville | 26-25 | West County (Leadwood) | Brewer Fieldhouse, UMC, Columbia |\n| 1939 | A | Joplin | | Claude Mikkelson | 39-31 | St. Louis Univ. High | Houston | 27-20 | Trenton | Central High, St. Joseph |\n| 1939 | B | Camdenton | | W.L. Breuer | 30-17 | Richland (Essex) | Calhoun | 39-28 | Glasgow | Central High, Springfield |\n| 1940 | A | McBride (St. Louis) | | Carl Kamp | 30-28 | Central (Springfield) | Carthage | 31-28 | Central (St. Joseph) | Memorial Hall, Joplin |\n| 1940 | B | Zalma | 27-2 | James Thornton | 25-21 | Bland | Glasgow | 50-25 | Archie | Houck Fieldhouse, SEMO, Cape Gir. |\n| 1941 | A | Benton (St. Joseph) | | Paul B. Springer | 50-27 | Soldan | Monett | 38-31 | Maplewood-Richmond Hts. | Washington U. Fieldhouse, St. Louis |\n| 1941 | B | Camdenton | | W.L. Breuer | 43-34 | Rogersville | Advance | 40-38 | Fair Play | McDonald Arena, MSU, Springfield |\n| 1942 | A | Beaumont | 21-2 | Tom Stanton | 27-23 | St. Louis Univ. High | Central (Cape Girardeau) | 49-33 | Monett | Washington U. Fieldhouse, St. Louis |\n| 1942 | B | Greenwood | 26-4 | J.H. Collins | 45-41 | Hopkins | St. Clair | 43-34 | Camdenton | McDonald Arena, MSU, Springfield |\n| 1943 | — | Beaumont | 26-2 | Tom Stanton | 30-27 | Conway | Diehlstadt | 42-31 | Central (St. Joseph) | Central High, Springfield |\n| 1944 | — | Bismarck | 35-3 | Ervin Leimer | 40-38 | Lebanon | Ozark | 45-29 | Jefferson City | Central High, Springfield |\n| 1945 | — | Conway (42-3) | | Robert C. Taylor | 42-25 | Central (Springfield) | Gilman City | 38-26 | Mexico | Central High, Springfield |\n| 1946 | — | St. Louis Univ. High | 27-3 | George Hasser | 42-20 | Bismarck | Waynesville | 45-37 | Univ. High (Cape Gir.) | Washington U. Fieldhouse, St. Louis |\n| 1947 | — | Beaumont | 29-1 | Tom Stanton | 59-42 | Versailles Normandy | 65-52 | Hermann | McDonald Arena, MSU, Springfield | |\n| 1948 | — | Beaumont | 28-2 | Tom Stanton | 44-35 | St. James Cleveland (St. Louis) | 57-56 | Lebanon | McDonald Arena, MSU, Springfield | |\n| 1949 | — | Buffalo | 36-2 | Eddie Matthews | 57-44 | Rockhurst | 39-38 | Bonne Terre | John Burroughs | McDonald Arena, MSU, Springfield |\n| 1950 | A | Joplin | 21-3 | Russ Kaminsky | 46-44** | Kirkwood | Clinton | 52-50 | St. Louis Univ. High | Brewer Fieldhouse, UMC, Columbia |\n| 1950 | B | Ozark | 30-2 | Denny Burrows | 33-20 | School of the Osage | Puxico | 51-44 | Windsor | McDonald Arena, MSU, Springfield |\n| 1951 | A | Normandy | 30-1 | Marshall Riegert | 46-42 | Maplewood-Richmond Hts. | Crystal City | 61-58 | Joplin | Brewer Fieldhouse, UMC, Columbia |\n| 1951 | B | Puxico (40-0) | | Arnold Ryan | 42-38 | Waynesville | John Burroughs | 56-50 | Morehouse | Houck Fieldhouse, SEMO, Cape Gir. |\n| 1952 | A | St. Louis Univ. High | 26-5 | Henry Raymonds | 50-40 | DeAndreis (St. Louis) | Lillis (Kansas City) | 57-51 | University City | Brewer Fieldhouse, UMC, Columbia |\n| 1952 | B | Puxico | 39-2 | Arnold Ryan | 85-37 | Shelbyville | Wheaton | 58-49 | Branson | Houck Fieldhouse, SEMO, Cape Gir. |\n| 1953 | A | Cleveland (St. Louis) | 25-4 | Earl Jansen | 62-46 | St. Louis Univ. High | Webster Groves | 99-63 | Marshall | Brewer Fieldhouse, UMC, Columbia |\n| 1953 | B | John Burroughs | 27-1 | Ray Wolfe | 73-65 | Puxico | Waynesville | 83-66 | Morehouse | Houck Fieldhouse, SEMO, Cape Gir. |\n| 1954 | A | Central (Cape Girard.) | 25-1 | Louis Muegge | 79-55 | Christian Brothers | Westport (Kansas City) | 55-51 | Webster Groves | Houck Fieldhouse, SEMO, Cape Gir. |\n| 1954 | B | Sparta | 39-2 | Herb Weston | 58-56** | Morehouse | Troy Buchanan | 54-47 | Alton | Brewer Fieldhouse, UMC, Columbia |\n| 1955 | A | Joplin | 24-6 | Russ Kaminsky | 47-44 | Northeast (Kansas City) | Rolla | 65-49 | Maplewood-Richmond Hts. | Washington University, St. Louis |\n| 1955 | B | Branson (41-0) | | John E. Chase | 77-58 | Univ. High (Warrensburg) | Buffalo | 77-64 | Lewistown | Houck Fieldhouse, SEMO, Cape Gir. |\n| 1956 | L | Beaumont | 29-2 | Tom Stanton | 67-56 | Maplewood-Richmond Hts. | Cleveland (St. Louis) | 64-57 | Christian Brothers (St. Joe) | Washington University, St. Louis |\n| 1956 | M | Pembroke Country Day | 31-0 | Edwin Ryan | 79-69 | Horace Mann (Maryville) | School of the Osage | 72-70** | Forsyth | Brewer Fieldhouse, UMC, Columbia |\n| 1956 | S | New Haven | 35-2 | Ellsworth Hartzell | 86-53 | Mayview | Archie | 60-58* | Clever | McDonald Arena, MSU, Springfield |\n| 1957 | L | St. Charles | 24-8 | Gene Bartow | 60-54 | North Kansas City | St. Louis Univ. High | 77-59 | Parkview | Washington U. Fieldhouse, St. Louis |\n| 1957 | M | Pembroke Country Day | 28-3 | Edwin Ryan | 50-49 | Advance | Richland | 65-42 | Gainesville | Brewer Fieldhouse, UMC, Columbia |\n| 1957 | S | New Haven | 32-2 | Gordon Sulltrop | 94-47 | Bogard | Rocky Comfort | 85-68 | Gilman City | School of the Osage, Lake Ozark |\n| 1958 | L | St. Louis Univ. High | 28-0 | Emmett Hanick | 56-43 | Central (St. Joseph) | Christian Brothers | 54-52 | Maplewood-Richmond Hts. | Washington U. Fieldhouse, St. Louis |\n| 1958 | M | Branson | 35-1 | John E. Chase | 49-32 | Thayer | Redemptorist (KC) | 50-36 | Elvins | Brewer Fieldhouse, UMC, Columbia |\n| 1958 | S | New Haven | 33-1 | Gordon Sulltrup | 55-42 | Halfway | Madison | 60-51 | Burlington Junction | Brewer Fieldhouse, UMC, Columbia |\n| 1959 | L | Christian Brothers | 27-4 | D. C. Wilcutt | 75-63 | Joplin | St. Louis Univ. High | 60-50 | St. Charles | Washington U. Fieldhouse, St. Louis |\n| 1959 | M | St. Agnes (Springfield) | 30-1 | Robert Taylor | 60-48 | Maryville | Montgomery County | 66-65 | Clarkton | Brewer Fieldhouse, UMC, Columbia |\n| 1959 | S | New Haven | 30-4 | Gordon Sulltrup | 57-41 | Nixa | LaPlata | 76-75 | Southwest (Mooresville) | Brewer Fieldhouse, UMC, Columbia |\n| 1960 | L | Christian Brothers | 22-5 | D. C. Wilcutt | 61-49 | St. Louis Univ. High | West Plains | 63-59 | Crystal City | Washington U. Fieldhouse, St. Louis |\n| 1960 | M | Bolivar | 30-4 | Bob Brown | 50-38 | Troy Buchanan | Notre Dame (Cape Gir.) | 76-71* | Redemptorist (KC) | Brewer Fieldhouse, UMC, Columbia |\n| 1960 | S | Van Buren | 33-3 | Hoyle Massey | 76-74** | Madison | Everton | 59-44 | Platte County | Brewer Fieldhouse, UMC, Columbia |\n| 1961 | L | St. Louis Univ. High | 24-5 | Emmet Hanick | 52-51 | Crystal City | Washington | 50-46 | Mercy (St. Louis) | Washington U. Fieldhouse, St. Louis |\n| 1961 | M | Lillis (Kansas City) | 29-0 | Jerry Letourneau | 47-41 | Thayer | Advance | 77-71 | Paris | Brewer Fieldhouse, UMC, Columbia |\n| 1961 | S | Kearney | 25-3 | Merrill Sindt | 66-48 | Everton | Doe Run | 68-67 | Gilman City | Brewer Fieldhouse, UMC, Columbia |\n| 1962 | L | Hickman | 26-1 | James McLeod | 57-47 | Kirkwood | Hadley Tech (St. Louis) | 91-76 | Central (Springfield) | Washington U. Fieldhouse, St. Louis |\n| 1962 | M | Bowling Green | 25-8 | Gene Hall | 33-32 | Branson | Richland (Gray Ridge) | 70-54 | Blue Springs | Brewer Fieldhouse, UMC, Columbia |\n| 1962 | S | Bradleyville | 28-4 | Ray Gibson | 59-49 | North Harrison | Santa Fe (Alma) | 38-37 | Univ. High (Columbia) | Brewer Fieldhouse, UMC, Columbia |\n| 1963 | L | Christian Brothers | 25-7 | D. C. Wilcutt | 47-38 | Jefferson City | Central (Kansas City) | 58-50 | Central (Springfield) | Public High Fieldhouse, Kansas City |\n| 1963 | M | Republic | 34-1 | Leland Brown | 78-63 | Bernie | Clopton | 70-59* | Lafayette County | Brewer Fieldhouse, UMC, Columbia |\n| 1963 | S | Exeter | 35-0 | Tom Hewgley | 54-43 | South Iron | Jameson | 64-54 | Oregon | Brewer Fieldhouse, UMC, Columbia |\n| 1964 | L | Bishop DuBourg | 28-5 | Roger Laux | 62-52 | Parkview | Central (Kansas City) | 90-69 | Maplewood-Richmond Hts. | Washington U. Fieldhouse, St. Louis |\n| 1964 | M | Buffalo | 34-1 | Mike Kirksey | 79-63 | Richland (Essex) | Pacific | 82-80 | Tipton | McDonald Arena, MSU, Springfield |\n| 1964 | S | Goodman | 24-2 | Charles Goade | 76-67 | South Iron | Glasgow | 80-44 | Jameson | McDonald Arena, MSU, Springfield |\n| 1965 | L | Parkview | 27-1 | Bill Harding | 67-50 | Center (Kansas City) | Southwest (St. Louis) | 51-38 | Beaumont | Kiel Auditorium (original), St. Louis |\n| 1965 | M | Buffalo | 32-3 | Larry Atwood | 65-49 | California | Bloomfield | 74-44 | Owensville | Brewer Fieldhouse, UMC, Columbia |\n| 1965 | S | South Iron | 30-3 | Gene Cozine | 69-47 | Golden City | Archie | 59-51 | Lancaster | Brewer Fieldhouse, UMC, Columbia |\n| 1966 | L | Central (Kansas City) | | Jim Wilkinson | 52-48 | Parkview | Lindbergh | 53-45 | Augustinian Acad. (St.L) | Kiel Auditorium (original), St. Louis |\n| 1966 | M | Owensville | 30-7 | Richard Hood | 62-54 | Willard | Boonville | 52-51 | Bloomfield | Brewer Fieldhouse, UMC, Columbia |\n| 1966 | S | Wright City | 27-7 | Terry Cain | 55-45 | Greenwood | Drexel | 46-45 | St. Joseph (Farmington) | Brewer Fieldhouse, UMC, Columbia |\n| 1967 | L | Joplin | 25-1 | Russ Kaminsky | 58-53* | Central (Kansas City) | Beaumont | 59-51 | Lindbergh | Kiel Auditorium (original), St. Louis |\n| 1967 | M | Warrensburg | 27-0 | Jerry Elliott | 64-51 | Buffalo | Notre Dame (Cape Girard.) | 69-46 | Paris | Lexington High, Lexington |\n| 1967 | S | Bradleyville | 34-1 | Argil Ellison | 60-47 | Archie | New Haven | 73-59 | Linn County | Lexington High, Lexington |\n| 1968 | L | O\\'Fallon Tech | 25-4 | Jodie Bailey | 55-54 | Hickman | Kirkwood | 59-43 | DeLaSalle (Kansas City) | Kiel Auditorium (original), St. Louis |\n| 1968 | M | Matthews | 34-1 | Jim Hart | 70-61 | Boonville | Hermann | 45-36 | Iberia | Brewer Fieldhouse, UMC, Columbia |\n| 1968 | S | Bradleyville | 33-0 | Argil Ellison | 76-73**** | Howardville | Glasgow | 69-49 | Lathrop | Brewer Fieldhouse, UMC, Columbia |\n| 1969 | L | Sumner | 30-2 | John Algee | 71-57 | Webster Groves | Hickman | 61-41 | William Chrisman | Kiel Auditorium (original), St. Louis |\n| 1969 | M | Dixon | 36-0 | Robert Ogle | 76-74 | Oran | Hermann | 55-43 | Pembroke Country Day | Brewer Fieldhouse, UMC, Columbia |\n| 1969 | S | St. George (Hermann) | 31-3 | Dennis Kruse | 70-54 | Skyline | Glasgow | 69-67 | Oak Grove | Brewer Fieldhouse, UMC, Columbia |\n| 1970 | L | Raytown South | 27-1 | Bud Lathrop | 68-65* | Rockhurst | Lindbergh | 67-65 | Beaumont | Kiel Auditorium (original), St. Louis |\n| 1970 | M | Hermann | 33-0 | Don Gosen | 42-36 | Lutheran South | Buffalo | 87-76 | Christian Brothers (St. Joe) | Brewer Fieldhouse, UMC, Columbia |\n| 1970 | S | New Haven | 24-8 | Glen Scheer | 79-69 | Jameson | Metz | 74-70* | Skyline | Multipurpose Fieldhouse, UMR, Rolla |\n| 1971 | L | Vashon | 24-2 | Ronald Coleman | 78-72 | Paseo (Kansas City) | Rockhurst | 80-50 | DeSoto | Kiel Auditorium (original), St. Louis |\n| 1971 | M | Manual (Kansas City) | 24-2 | Wm. Madison III | 54-51 | Fredericktown | Hermann | 59-36 | Mount Vernon | Brewer Fieldhouse, UMC, Columbia |\n| 1971 | S | Stanberry | 26-5 | Bill Meyers | 75-66 | Wright City | Cairo | 71-63 | Marion C. Early | Multipurpose Fieldhouse, UMR, Rolla |\n| 1972 | L | Raytown South | 24-5 | Bud Lathrop | 52-48 | Kirkwood | Sumner | 82-72 | Carthage | Brewer Fieldhouse, UMC, Columbia |\n| 1972 | M | Montgomery City | 29-4 | Bill Ballew | 68-48 | St. Pius X (Kansas City) | Richland (Essex) | 67-66 | Willard | Brewer Fieldhouse, UMC, Columbia |\n| 1972 | S | Advance | 27-5 | Carroll Cookson | 69-61 | Marion C. Early | Northeast Nodaway | 69-59 | North Harrison | Multipurpose Fieldhouse, UMR, Rolla |\n| 1973 | L | DeSmet | 28-5 | Rich Grawer | 51-47 | Kirkwood | Smith-Cotton | 68-62 | Paseo (Kansas City) | Hearnes Center, UMC, Columbia |\n| 1973 | M | Lutheran South | 30-1 | Herm Meyer | 76-62 | Manual (Kansas City) | Palmyra | 58-54 | Webb City | Hearnes Center, UMC, Columbia |\n| 1973 | S | Forsyth | 26-8 | Charles Campbell | 63-60 | Advance | Westran | 83-71 | Mound City | Hearnes Center, UMC, Columbia |\n| 1974 | 1A | Glasgow | 33-0 | Richard Roysten | 78-73 | Greenfield | Smithton | 71-63 | Advance | Hearnes Center, UMC, Columbia |\n| 1974 | 2A | Lilbourn | 30-2 | Larry Warren | 70-64 | Nixa | Montgomery County | 51-42 | Lafayette County | Hearnes Center, UMC, Columbia |\n| 1974 | 3A | Owensville | 30-1 | Jerry Buescher | 51-48 | St. Pius X (Kansas City) | Bayless | 69-66 | Memorial (Joplin) | Hearnes Center, UMC, Columbia |\n| 1974 | 4A | McCluer | 30-2 | Larry Jacob | 57-48 | Central (St. Louis) | Central (Kansas City) | 45-41 | Raytown South | Hearnes Center, UMC, Columbia |\n| 1975 | 1A | Advance | 29-3 | Carroll Cookson | 55-44 | Northeast Nodaway | Glasgow | 67-52 | Mansfield | Hearnes Center, UMC, Columbia |\n| 1975 | 2A | Lilbourn | 31-0 | Bob Phelps | 84-66 | Logan-Rogersville | Bishop LeBlond | 94-74 | St. James | Hearnes Center, UMC, Columbia |\n| 1975 | 3A | Charleston | 29-4 | Mitch Haskins | 57-56 | Lafayette (St. Joseph) | Clayton | 50-45 | Rock Bridge | Hearnes Center, UMC, Columbia |\n| 1975 | 4A | McCluer | 20-9 | Mark Bernsen | 71-66 | Sumner | Raytown South | 65-62 | Raytown | Hearnes Center, UMC, Columbia |\n| 1976 | 1A | Scott County Central | 32-1 | Ron Cookson | 82-71 | Glasgow | Plato | 63-52 | Drexel | Hearnes Center, UMC, Columbia |\n| 1976 | 2A | St. James | 24-6 | Grant Crow | 72-46 | Clearwater | Linn | 67-64 | Licking | Hearnes Center, UMC, Columbia |\n| 1976 | 3A | Lafayette (St. Joseph) | 28-3 | Mel Clark | 87-82 | Memorial (Joplin) | Central (Park Hills) | 56-53 | Troy Buchanan | Hearnes Center, UMC, Columbia |\n| 1976 | 4A | Center (Kansas City) | | Max Hayes | 66-54 | Central (St. Louis) | St. Charles | 70-55 | McCluer | Hearnes Center, UMC, Columbia |\n| 1977 | 1A | Lesterville | 30-3 | Billy Joe Martin | 45-38 | Northeast Nodaway | Ash Grove | 76-45 | Newtown-Harris | Hearnes Center, UMC, Columbia |\n| 1977 | 2A | Bishop LeBlond | 27-5 | John Bizal | 64-56 | Linn | Notre Dame (Cape Girard.) | 70-68 | Forsyth | Hearnes Center, UMC, Columbia |\n| 1977 | 3A | Memorial (Joplin) | 31-1 | Mike O\\'Rourke | 80-73 | Charleston | Manual (Kansas City) | 70-63 | Troy Buchanan | Hearnes Center, UMC, Columbia |\n| 1977 | 4A | Raytown South | 25-4 | Bud Lathrop | 67-53 | Central (Kansas City) | DeSmet | 66-64 | Vashon | Hearnes Center, UMC, Columbia |\n| 1978 | 1A | Glasgow | 24-7 | Larry Littrell | 52-47 | Marionville | Clopton | 68-64 | Concordia | Hearnes Center, UMC, Columbia |\n| 1978 | 2A | Nixa | 30-1 | Frank Branstetter | 95-56 | Lilbourn | Lillis (Kansas City) | 67-59 | Palmyra | Hearnes Center, UMC, Columbia |\n| 1978 | 3A | Memorial (Joplin) | 31-0 | Mike O\\'Rourke | 97-69 | McKinley | Rock Bridge | 67-62 | Charleston | Hearnes Center, UMC, Columbia |\n| 1978 | 4A | DeSmet | 31-1 | Rich Grawer | 61-57 | Central (Kansas City) | Central (St. Louis) | 62-41 | Kirkwood | Hearnes Center, UMC, Columbia |\n| 1979 | 1A | Scott County Central | 30-3 | Ron Cookson | 75-51 | Sparta | Northeast Nodaway | 66-40 | Harrisburg | Hearnes Center, UMC, Columbia |\n| 1979 | 2A | Palmyra | 29-0 | Don Foster | 65-61 | Crystal City | Nixa | 83-67 | Butler | Hearnes Center, UMC, Columbia |\n| 1979 | 3A | Central (Kansas City) | 30-1 | Jack Bush | 49-44 | Charleston | Holt (Wentzville) | 72-55 | Aurora | Hearnes Center, UMC, Columbia |\n| 1979 | 4A | DeSmet | 32-0 | Rich Grawer | 77-64 | William Chrisman | Kirkwood | 74-72 | Vashon | Hearnes Center, UMC, Columbia |\n| 1980 | 1A | Glasgow | 29-1 | Larry Littrell | 56-41 | Greenwood | Jameson | 68-57 | LaMonte | Hearnes Center, UMC, Columbia |\n| 1980 | 2A | Scott County Central | 32-1 | Ronnie Cookson | 94-52 | Slater | Willow Springs | 67-52 | Wellsville-Middletown | Hearnes Center, UMC, Columbia |\n| 1980 | 3A | Charleston | 25-6 | Lennies McFerren | 50-44 | Republic | Bishop Hogan (KC) | 59-54 | Lutheran North | Hearnes Center, UMC, Columbia |\n| 1980 | 4A | Central (Cape Girardeau) | 29-4 | Dan Milligan | 53-51 | Hickman Mills | William Chrisman | 83-82* | DeSmet | Hearnes Center, UMC, Columbia |\n| 1981 | 1A | Mound City | 27-0 | Larry Hughes | 62-52 | Wellsville-Middletown | Bell City | 57-56 | McAuley Catholic | Hearnes Center, UMC, Columbia |\n| 1981 | 2A | North Pemiscot | 27-4 | Jerry Luellen | 51-49 | Willow Springs | Penney | 77-75* | Hallsville | Hearnes Center, UMC, Columbia |\n| 1981 | 3A | Chillicothe | 23-6 | Rich Fairchild | 58-49 | St. Francis Borgia | McDonald County | 70-68 | Sullivan | Hearnes Center, UMC, Columbia |\n| 1981 | 4A | Soldan | 28-3 | Marvin Neals | 57-45 | DeSmet | Parkview | 46-44 | Central (Kansas City) | Hearnes Center, UMC, Columbia |\n| 1982 | 1A | Marion C. Early | 25-5 | Bill Holmes | 66-56 | Greenwood | Glasgow | 50-46 | King City | Hearnes Center, UMC, Columbia |\n| 1982 | 2A | Marionville | 25-5 | Tony Armstrong | 70-61 | Monroe City | Crystal City | 75-69 | Lafayette County | Hearnes Center, UMC, Columbia |\n| 1982 | 3A | Logan-Rogersville | 29-1 | Gary McDaniels | 61-57 | Chillicothe | Vashon | 59-49 | Charleston | Hearnes Center, UMC, Columbia |\n| 1982 | 4A | DeSmet | 27-5 | Dale Burgman | 41-39 | St. Louis Univ. High | Hickman | 57-52 | Central (Kansas City) | Hearnes Center, UMC, Columbia |\n| 1983 | 1A | Scott County Central | 30-3 | Ron Cookson | 89-71 | Clopton | Walnut Grove | 42-40* | Northeast Nodaway | Hammons Stdt. Ctr., MSU, Springfield |\n| 1983 | 2A | Hayti | 24-6 | Kent Reynolds | 78-72 | Licking | Palmyra | 70-57 | Lafayette County | Hammons Stdt. Ctr., MSU, Springfield |\n| 1983 | 3A | Charleston | 30-3 | Lennies McFerron | 71-65 | Warrensburg | Logan-Rogersville | 61-47 | Centralia | Hearnes Center, UMC, Columbia |\n| 1983 | 4A | Vashon (12-19) | | Floyd Irons | 75-62 | Van Horn | Oak Park | 55-53 | Beaumont | Hearnes Center, UMC, Columbia |\n| 1984 | 1A | Springfield Catholic | 28-4 | Jerry Buescher | 40-37 | Clopton | St. Paul Lutheran | 59-58 | Jefferson | Hearnes Center, UMC, Columbia |\n| 1984 | 2A | Eskridge | 26-6 | Al Galloway | 67-50 | Slater | Nixa | 57-53* | Lathrop | Hearnes Center, UMC, Columbia |\n| 1984 | 3A | McKinley (St. Louis) | 26-4 | Jimmie Cook | 60-56 | Ozark | Central (Kansas City) | 59-56 | Jennings | Hearnes Center, UMC, Columbia |\n| 1984 | 4A | Hillcrest | 25-7 | Gary Stanfield | 51-50 | Vashon | Beaumont | 50-48 | Lincoln Prep Acad. | Hearnes Center, UMC, Columbia |\n| 1985 | 1A | Scott County Central | 27-1 | Ron Cookson | 73-58 | Northeast Nodaway | Clopton | 74-56 | Lincoln | Hammons Stdt. Ctr., MSU, Springfield |\n| 1985 | 2A | Lathrop | 27-0 | Harold Brown | 46-45 | Eskridge | Mansfield | 74-66 | Paris | Hammons Stdt. Ctr., MSU, Springfield |\n| 1985 | 3A | Malden | 30-3 | Randy Scott | 88-67 | Lutheran North | Benton (St. Joseph) | 38-33 | Waynesville | Hearnes Center, UMC, Columbia |\n| 1985 | 4A | Vashon | 27-5 | Floyd Irons | 52-49* | Soldan | Raytown South | 78-69 | Lincoln Prep Acad. | Hearnes Center, UMC, Columbia |\n| 1986 | 1A | Scott County Central | 28-6 | Ron Cookson | 84-76*** | Wellsville-Middletown | Northeast Nodaway | 85-56 | Lockwood | Hammons Stdt. Ctr., MSU, Springfield |\n| 1986 | 2A | Notre Dame (Cape Gir.) | 26-6 | Brad Wittenborn | 66-47 | Nixa | Monroe City | 72-67 | Pembroke Hill | Hammons Stdt. Ctr., MSU, Springfield |\n| 1986 | 3A | Charleston | 28-5 | Lennies McFerren | 44-43 | Logan-Rogersville | Paseo (Kansas City) | 85-72 | Troy Buchanan | Hearnes Center, UMC, Columbia |\n| 1986 | 4A | Vashon | 31-1 | Floyd Irons | 72-43 | Rockhurst | Parkway West | 60-49 | Glendale | Hearnes Center, UMC, Columbia |\n| 1987 | 1A | Scott County Central | 28-5 | Ron Cookson | 85-69 | Wellsville-Middletown | King City | 50-43 | Smithton | Hammons Stdt. Ctr., MSU, Springfield |\n| 1987 | 2A | Notre Dame (Cape Gir.) | 31-2 | Brad Wittenborn | 74-68 | Hartville | Lathrop | 69-67 | Wright City | Hammons Stdt. Ctr., MSU, Springfield |\n| 1987 | 3A | Charleston | 28-4 | Lennies McFerren | 37-36 | Fulton | Marshfield | 68-58 | Bishop Hogan (KC) | Hearnes Center, UMC, Columbia |\n| 1987 | 4A | Rockhurst | 27-2 | Doug Bruce | 63-58** | Kickapoo | Hazelwood Central | 78-66 | Beaumont | Hearnes Center, UMC, Columbia |\n| 1988 | 1A | Scott County Central | 34-0 | Ron Cookson | 78-53 | Walnut Grove | North Harrison | 78-74 | Harrisburg | Hammons Stdt. Ctr., MSU, Springfield |\n| 1988 | 2A | Eskridge | 28-2 | Al Galloway | 66-50 | Liberty (Mountain View) | Maplewood-Richmond Hts. | 71-70 | St. Pius X (Kansas City) | Hammons Stdt. Ctr., MSU, Springfield |\n| 1988 | 3A | Central (New Madrid Co.) | 25-7 | Gerald Murphy | 71-59 | Paseo (Kansas City) | Willard | 70-65 | Troy Buchanan | Hearnes Center, UMC, Columbia |\n| 1988 | 4A | Vashon | 30-1 | Floyd Irons | 63-49 | Lee\\'s Summit | Holt (Wentzville) | 54-53 | Jefferson City | Hearnes Center, UMC, Columbia |\n| 1989 | 1A | Scott County Central | 31-2 | Ron Cookson | 63-53 | Clopton | Greenfield | 53-47 | Fairfax | Hammons Stdt. Ctr., MSU, Springfield |\n| 1989 | 2A | Licking | 29-3 | Grant Crow | 80-65 | Bernie | Clark County | 67-57 | St.Pius X (Kansas City) | Hammons Stdt. Ctr., MSU, Springfield |\n| 1989 | 3A | Charleston | 24-6 | Lennies McFerren | 54-49 | Marshfield | Berkeley | 60-49 | Warrensburg | Hammons Stdt. Ctr., MSU, Springfield |\n| 1989 | 4A | Rockhurst | 23-7 | Doug Bruce | 57-56 | Vashon | Jefferson City | 63-47 | DeSmet | Hammons Stdt. Ctr., MSU, Springfield |\n| 1990 | 1A | Scott County Central | 32-1 | Ron Cookson | 71-45 | New Franklin | Malta Bend | 84-63 | Pattonsburg | Hammons Stdt. Ctr., MSU, Springfield |\n| 1990 | 2A | Cardinal Ritter | 28-2 | Preston Thomas | 58-55 | Alton | South Shelby | 77-70* | St. Pius X (Kansas City) | Hammons Stdt. Ctr., MSU, Springfield |\n| 1990 | 3A | Charleston | 33-0 | Lennies McFerren | 67-47 | Soldan | Benton (St. Joseph) | 63-59 | Willow Springs | Hammons Stdt. Ctr., MSU, Springfield |\n| 1990 | 4A | Raytown South | 31-0 | Bud Lathrop | 66-47 | DeSmet | Vashon | 50-47 | Glendale | Hammons Stdt. Ctr., MSU, Springfield |\n| 1991 | 1A | Scott County Central | 33-0 | Ron Cookson | 56-48 | Greenwood | New Bloomfield | 80-77 | Wellington-Napoleon | Hammons Stdt. Ctr., MSU, Springfield |\n| 1991 | 2A | Portageville | 31-0 | Jim Bidewell | 73-51 | Bishop Hogan (KC) | Forsyth | 76-72 | Palmyra | Hammons Stdt. Ctr., MSU, Springfield |\n| 1991 | 3A | Festus | 31-1 | Rod Gorman | 77-63 | Nevada | Osage | 69-68* | Mexico | Hammons Stdt. Ctr., MSU, Springfield |\n| 1991 | 4A | Parkway West | 31-2 | Bill Sodemann | 53-49* | Hickman Mills | Rock Bridge | 55-51 | Parkway Central | Hammons Stdt. Ctr., MSU, Springfield |\n| 1992 | 1A | Van Buren | 28-5 | Randal Jenkins | 68-60 | New Bloomfield | Halfway | 50-43 | North Harrison | Hearnes Center, UMC, Columbia |\n| 1992 | 2A | Portageville | 25-5 | Jim Bidewell | 85-82* | Eugene | Highland | 73-67 | Hartville | Hearnes Center, UMC, Columbia |\n| 1992 | 3A | Charleston | 31-2 | Lennies McFerren | 43-19 | Eldon | Benton (St. Joseph) | 69-63 | Troy Buchanan | Hearnes Center, UMC, Columbia |\n| 1992 | 4A | Riverview Gardens | 31-1 | Todd Dutton | 68-62 | Raytown South | Kickapoo | 63-48 | Parkway Central | Hearnes Center, UMC, Columbia |\n| 1993 | 1A | Scott County Central | 27-6 | Ron Cookson | 72-51 | Green City | Lockwood | 73-52 | Tarkio | Hearnes Center, UMC, Columbia |\n| 1993 | 2A | Portageville | 31-0 | Jim Bidewell | 63-41 | Brookfield | Skyline | 47-40 | Forsyth | Hearnes Center, UMC, Columbia |\n| 1993 | 3A | St. Francis Borgia | 28-3 | Dave Neier | 74-72 | Jennings | Helias | 73-71 | Marshall | Hearnes Center, UMC, Columbia |\n| 1993 | 4A | Jefferson City | 22-8 | James Byland | 60-56 | Poplar Bluff | DeSoto | 58-54 | Raytown South | Hearnes Center, UMC, Columbia |\n| 1994 | 1A | Lockwood | 30-1 | Dennis Cornish | 64-60 | Scott County Central | New Franklin | 65-53 | Rock Port | Hearnes Center, UMC, Columbia |\n| 1994 | 2A | Portageville | 25-3 | Jim Bidewell | 76-66 | Fatima | Alton | 65-38 | Cole Camp | Hearnes Center, UMC, Columbia |\n| 1994 | 3A | St. Francis Borgia | 31-1 | Dave Neier | 88-67 | Mexico | Helias | 49-46 | Maryville | Hearnes Center, UMC, Columbia |\n| 1994 | 4A | Vashon | 27-2 | Floyd Irons | 58-54 | Hazelwood Central | St. Charles West | 66-61 | Central (Kansas City) | Hearnes Center, UMC, Columbia |\n| 1995 | 1A | Barstow | 22-10 | Fritz Gabler | 74-64 | Lockwood | South Iron | 67-56 | New Bloomfield | Hearnes Center, UMC, Columbia |\n| 1995 | 2A | Cardinal Ritter | 30-3 | Preston Thomas | 62-60 | Skyline | Diamond | 81-64 | Monroe City | Hearnes Center, UMC, Columbia |\n| 1995 | 3A | Mexico | 28-3 | Keith Miller | 87-73 | Maryville | St. Francis Borgia | 79-51 | Mount Vernon | Hearnes Center, UMC, Columbia |\n| 1995 | 4A | St. Charles West | 30-2 | Terry Holander | 58-51 | Vashon | Central (Kansas City) | 68-66 | Sikeston | Hearnes Center, UMC, Columbia |\n| 1996 | 1A | Richland (Essex) | 31-2 | Doyle Pitts | 72-54 | Lockwood | Jefferson | 59-56 | Sturgeon | Hearnes Center, UMC, Columbia |\n| 1996 | 2A | Cardinal Ritter | 25-6 | Preston Thomas | 69-47 | Hollister | Pembroke Hill | 77-59 | Fatima | Hearnes Center, UMC, Columbia |\n| 1996 | 3A | Charleston | 31-1 | Bobby Spencer | 61-54 | Mexico | Fulton | 72-62 | Chillicothe | Hearnes Center, UMC, Columbia |\n| 1996 | 4A | Webster Groves | 29-3 | Tim Moore | 53-46 | West Plains | DeSmet | 72-56 | Truman | Hearnes Center, UMC, Columbia |\n| 1997 | 1A | New Haven | 26-6 | Ray Steinhoff | 74-71* | Bishop Hogan (KC) | Chadwick | 70-56 | Golden City | Hearnes Center, UMC, Columbia |\n| 1997 | 2A | East Carter | 30-2 | Mike Harlow | 0 | Pembroke Hill (forfeit) | Hartville | 75-49 | Linn | Hearnes Center, UMC, Columbia |\n| 1997 | 3A | Webb City | 26-4 | Eric Johnson | 46-41 | Chillicothe | Jennings | 77-63 | Sullivan | Hearnes Center, UMC, Columbia |\n| 1997 | 4A | Christian Brothers | 28-4 | Bob McCormick | 51-35 | Truman | Rock Bridge | 51-48 | Vashon | Hearnes Center, UMC, Columbia |\n| 1998 | 1A | Fordland | 23-7 | Andy Underwood | 75-43 | Bishop Hogan (KC) | New Haven | 57-52 | Weaubleau | Hearnes Center, UMC, Columbia |\n| 1998 | 2A | Palmyra | 26-5 | Brad Thompson | 0 | Pembroke Hill (forfeit) | Hartville | 82-71 | Portageville | Hearnes Center, UMC, Columbia |\n| 1998 | 3A | St. Francis Borgia | 31-1 | Dave Neier | 55-50 | Chillicothe | Webb City | 79-54 | Mexico | Hearnes Center, UMC, Columbia |\n| 1998 | 4A | Liberty | 31-0 | Mark Nusbaum | 42-41 | Lafayette (Wildwood) | Vashon | 63-50 | Jefferson City | Hearnes Center, UMC, Columbia |\n| 1999 | 1A | New Haven | 29-3 | Ray Steinhoff | 48-46 | Fordland | Santa Fe | 58-41 | King City | Hearnes Center, UMC, Columbia |\n| 1999 | 2A | Hollister | 28-3 | Duane Hiler | 0 | Pembroke Hill (forfeit) | Portageville | 75-63 | North Callaway | Hearnes Center, UMC, Columbia |\n| 1999 | 3A | Nixa | 29-4 | Jay Osborne | 71-47 | St. Francis Borgia | Warrensburg | 67-64 | Jennings | Hearnes Center, UMC, Columbia |\n| 1999 | 4A | DeSmet | 30-2 | Bob Steiner | 70-64 | Vashon | Central (Kansas City) | 88-79 | Troy Buchanan | Hearnes Center, UMC, Columbia |\n| 2000 | 1A | Jefferson | 29-3 | Don Edwards | 70-55 | Billings | Weaubleau | 61-55 | Brunswick | Hearnes Center, UMC, Columbia |\n| 2000 | 2A | Whitfield | 30-3 | Rich Fanning | 74-59 | Blair Oaks | Forsyth | 59-44 | Linn | Hearnes Center, UMC, Columbia |\n| 2000 | 3A | Central (New Madrid Co.) | 23-6 | Lennies McFerren | 68-55 | Park Hill South | Reeds Spring | 70-57 | Jennings | Hearnes Center, UMC, Columbia |\n| 2000 | 4A | Vashon | 27-2 | Floyd Irons | 56-50 | DeSmet | Rockhurst | 64-44 | Francis Howell North | Hearnes Center, UMC, Columbia |\n| 2001 | 1A | New Haven | 29-2 | Ray Steinhoff | 45-26 | Liberal | Stoutland | 62-51 | Jefferson | Hearnes Center, UMC, Columbia |\n| 2001 | 2A | Blair Oaks | 23-7 | Gary Verslues | 67-51 | Butler | Cardinal Ritter | 64-41 | Diamond | Hearnes Center, UMC, Columbia |\n| 2001 | 3A | Central (New Madrid Co.) | 23-7 | Lennies McFerren | 49-47 | Hickman Mills | Ozark | 64-52 | Helias | Hearnes Center, UMC, Columbia |\n| 2001 | 4A | Vashon | 28-1 | Floyd Irons | 63-52 | Liberty | Eureka | 52-46 | Hannibal | Hearnes Center, UMC, Columbia |\n| 2002 | 1A | Bell City | 29-5 | David Heeb | 88-68 | Santa Fe | Community | 63-62 | Stewartsville | Hearnes Center, UMC, Columbia |\n| 2002 | 2A | Lutheran North | 25-7 | Brent Rueter | 72-62 | Elsberry | Marionville | 52-50 | Bishop LeBlond | Hearnes Center, UMC, Columbia |\n| 2002 | 3A | MICDS | 29-3 | Don Maurer | 53-51 | Central (New Madrid Co.) | Nixa | 80-74 | Westport | Hearnes Center, UMC, Columbia |\n| 2002 | 4A | Vashon | 30-1 | Floyd Irons | 82-27 | DeSmet | Liberty | 67-46 | Jefferson City | Hearnes Center, UMC, Columbia |\n| 2003 | 1 | Verona | 32-0 | Brad Stewart | 65-47 | North Shelby | Dadeville | 68-57 | Braymer | Hearnes Center, UMC, Columbia |\n| 2003 | 2 | East Carter | 23-7 | Larry Morgan | 77-51 | West Platte | Thayer | 51-39 | Harrisburg | Hearnes Center, UMC, Columbia |\n| 2003 | 3 | Cardinal Ritter | 31-0 | Marvin Neals | 64-53 | Ash Grove | Charleston | 57-54 | Lincoln Prep Academy | Hearnes Center, UMC, Columbia |\n| 2003 | 4 | Ozark | 28-4 | Steve Hunter | 71-68 | Paseo Academy | St. Charles West | 81-69 | DeSoto | Hearnes Center, UMC, Columbia |\n| 2003 | 5 | Kickapoo | 30-1 | Roy Green | 65-42 | Raytown South | Parkway Central | 69-65 | Poplar Bluff | Hearnes Center, UMC, Columbia |\n| 2004 | 1 | Bell City | 29-4 | David Heeb | 74-62 | St. Elizabeth | North Andrew | 54-48 | Bevier | Hearnes Center, UMC, Columbia |\n| 2004 | 2 | Van-Far | 28-3 | Brian Meny | 46-40 | Marionville | Lone Jack | 58-45 | Senath-Hornersville | Hearnes Center, UMC, Columbia |\n| 2004 | 3 | Centralia | 29-2 | David Meyers | 41-32 | Maryville | Charleston | 85-82 | Mountain Grove | Hearnes Center, UMC, Columbia |\n| 2004 | 4 | Vashon | 31-0 | Floyd Irons | 68-55 | Kearney | Ozark | 78-56 | Dexter | Hearnes Center, UMC, Columbia |\n| 2004 | 5 | Poplar Bluff | 25-6 | John David Pattillo | 64-56 | Blue Springs | Lafayette (Wildwood) | 60-52 | Jefferson City | Hearnes Center, UMC, Columbia |\n| 2005 | 1 | North Shelby | 31-1 | Steve Carvajal | 59-51 | Jefferson | St. Elizabeth | 92-91* | Bell City | Mizzou Arena, UMC, Columbia |\n| 2005 | 2 | Marionville | 27-3 | Ted Young | 35-30 | St. Vincent | Salisbury | 59-44 | East Buchanan | Mizzou Arena, UMC, Columbia |\n| 2005 | 3 | Lutheran North | 22-10 | Brent Rueter | 72-63 | Charleston | Versailles | 52-48* | Hogan Prep Academy | Mizzou Arena, UMC, Columbia |\n| 2005 | 4 | O’Hara | 27-5 | Todd Magwire | 81-77* | Willard | Westminster Christian Ac. | 67-61 | Notre Dame (Cape Gir.) | Mizzou Arena, UMC, Columbia |\n| 2005 | 5 | Poplar Bluff | 27-4 | John David Pattillo | 72-56 | Vashon | Kickapoo | 67-58 | Rockhurst | Mizzou Arena, UMC, Columbia |\n| 2006 | 1 | Jefferson | 32-0 | Tim Jermain | 74-61 | Bell City | Silex | 61-60 | Tuscumbia | Mizzou Arena, UMC, Columbia |\n| 2006 | 2 | Harrisburg | 28-4 | Steve Combs | 41-38 | Marionville | Advance | 70-60 | West Platte | Mizzou Arena, UMC, Columbia |\n| 2006 | 3 | Cardinal Ritter | 28-3 | Marvin Neals | 67-55 | Charleston | Cameron | 51-35 | Mount Vernon | Mizzou Arena, UMC, Columbia |\n| 2006 | 4 | St. Francis Borgia | 30-1 | Dave Neier | 77-62 | Sikeston | Lincoln Prep Academy | 57-49 | Ozark | Mizzou Arena, UMC, Columbia |\n| 2006 | 5 | Vashon | 27-2 | Floyd Irons | 58-55 | Kickapoo | Kirkwood | 58-54* | Rockhurst | Mizzou Arena, UMC, Columbia |\n| 2007 | 1 | Jefferson | 31-1 | Tim Jermain | 66-65 | Bell City | LaPlata | 73-71 | Wheatland | Mizzou Arena, UMC, Columbia |\n| 2007 | 2 | Eskridge (17-10) | | Sterling Bates | 64-54 | Mansfield | Harrisburg | 82-64 | Osceola | Mizzou Arena, UMC, Columbia |\n| 2007 | 3 | Charleston | 29-3 | Danny Farmer | 66-48 | Pembroke Hill | Spokane | 64-57 | Bowling Green | Mizzou Arena, UMC, Columbia |\n| 2007 | 4 | Ruskin | 29-1 | Gerry Marlin | 59-56 | Notre Dame (Cape Gir.) | Willard | 60-49 | St. Charles | Mizzou Arena, UMC, Columbia |\n| 2007 | 5 | McCluer North | 26-3 | Randy Reed | 69-57 | Rockhurst | Fort Zumwalt South | 65-58 | Lindbergh | Mizzou Arena, UMC, Columbia |\n| 2008 | 1 | Jefferson | 29-2 | Tim Jermain | 59-30 | Glasgow | Scott County Central | 83-58 | Fair Play | Mizzou Arena, UMC, Columbia |\n| 2008 | 2 | Harrisburg | 28-3 | | 51-44 | South Iron | Clever | 67-33 | West Platte | Mizzou Arena, UMC, Columbia |\n| 2008 | 3 | Maplewood-Richmond Hts | 28-4 | | 56-55 | Lutheran North | Hogan Prep | 86-60 | Linn | Mizzou Arena, UMC, Columbia |\n| 2008 | 4 | Notre Dame (Cape Gir.) | 24-6 | | 48-36 | St. Charles West | Webb City | 72-50 | Lincoln Prep | Mizzou Arena, UMC, Columbia |\n| 2008 | 5 | Webster Groves | 29-3 | Jay Blossom | 71-62 | McCluer North | Fort Zumwalt South | 61-58 | Truman | Mizzou Arena, UMC, Columbia |\n| 2009 | 1 | Scott County Central | 29-2 | Ronnie Cookson | 98-63 | Newtown-Harris | Glasgow | 72-62 | Chadwick | Mizzou Arena, UMC, Columbia |\n| 2009 | 2 | Portageville | 24-5 | Jim Bidewell | 60-55 | Harrisburg | Miller | 48-46 | Laquey | Mizzou Arena, UMC, Columbia |\n| 2009 | 3 | Maplewood-Richmond Hts | 30-3 | Corey Frazier | 73-55 | Whitfield | Lee's Summit Comm. Christian | 51-62 | Blue Eye | Mizzou Arena, UMC, Columbia |\n| 2009 | 4 | St. Francis Borgia | 28-3 | Dave Neier | 59-41 | Kearney | Helias | 57-42 | Miller Career Academy | Mizzou Arena, UMC, Columbia |\n| 2009 | 5 | Chaminade | 27-4 | Kelvin Lee | 80-70 | Grandview | Rock Bridge | 54-40 | Oakville | Mizzou Arena, UMC, Columbia |\n| 2010 | 1 | Scott County Central | 25-2 | Kenyon Wright | 96-47 | Pilot Grove | Dadeville | 62-31 | Braymer | Mizzou Arena, UMC, Columbia |\n| 2010 | 2 | Sturgeon | 32-0 | Greg Buescher | 82-80 | Bernie | Eskride | 77-61 | Clever | Mizzou Arena, UMC, Columbia |\n| 2010 | 3 | Cardinal Ritter | 25-4 | Marvin Neals | 93-69 | Hogan Prep Charter | Whitefield | 64-59 | Mt. Vernon | Mizzou Arena, UMC, Columbia |\n| 2010 | 4 | Kearney | 28-3 | Gary Belcher | 47-43 | St. Francis Borgia | Soldan | 62-55 | Republic | Mizzou Arena, UMC, Columbia |\n| 2010 | 5 | Hillcrest | 20-7 | John Schafer | 54-49 | Oakville | Christian Brothers | 51-43 | Park Hill South | Mizzou Arena, UMC, Columbia |\n| 2011 | 1 | Scott County Central | 29-2 | Kenyon Wright | 69-54 | Dadeville | Jefferson | 68-60 | La Plata | Mizzou Arena, UMC, Columbia |\n| 2011 | 2 | Crane | 29-4 | Rob Guerint | 63-77 | Bernie | Wellington-Napoleon | 90-67 | New Bloomfield | Mizzou Arena, UMC, Columbia |\n| 2011 | 3 | Hogan | 23-8 | Steve Stitzer | 61-46 | Stafford | Charleston | 87-79 | Elsberry | Mizzou Arena, UMC, Columbia |\n| 2011 | 4 | Sikeston | 30-0 | Gregg Holifield | 74-55 | St. Francis Borgia | Soldan | 69-54 | Lafayette (St. Joseph) | Mizzou Arena, UMC, Columbia |\n| 2011 | 5 | McCluer North | 29-4 | Randy Reed | 63-53 | Troy Buchanan | Lee's Summit North | 55-43 | Rock Bridge | Mizzou Arena, UMC, Columbia |\n| 2012 | 1 | Scott County Central | 22-10 | Kenyon Wright | 79-72 | Drexel | Glasgow | 56-45 | St. Joseph Christian | Mizzou Arena, UMC, Columbia |\n| 2012 | 2 | Billings | 29-3 | Kendall Tilley | 83-79 | Salisbury | Hayti | 79-54 | Osceola | Mizzou Arena, UMC, Columbia |\n| 2012 | 3 | Charleston | 31-2 | Danny Farmer | 79-73 | Hogan | Lutheran North | 61-43 | Mount Vernon | Mizzou Arena, UMC, Columbia |\n| 2012 | 4 | Soldan | 25-5 | Justin Tatum | 55-42 | Hillcrest | Liberty North | 54-50 (1 OT) | Imagine | Mizzou Arena, UMC, Columbia |\n| 2012 | 5 | McCluer North | 28-1 | Randy Reed | 69-60 | Nixa | Lee's Summit West | 53-41 | Marquette | Mizzou Arena, UMC, Columbia |\n| 2013 | 1 | Eminence | 27-5 | Pete McBride | 62-60 | Stanberry | Drexel | 75-50 | Meadville | Mizzou Arena, UMC, Columbia |\n| 2013 | 2 | Salisbury | 30-1 | Kenny Wyatt | 70-46 | West Platte | Iberia | 65-63 | Oran | Mizzou Arena, UMC, Columbia |\n| 2013 | 3 | College Preparatory at Madison | 31-2 | Altonio Irons | 67-52 | St. Pius X | Lutheran North | 74-47 | Fatima | Mizzou Arena, UMC, Columbia |\n| 2013 | 4 | Republic | 28-4 | Treyvon Fisher | 54-51 | Normandy | Sikeston | 55-54 | Liberty North | Mizzou Arena, UMC, Columbia |\n| 2013 | 5 | Rockhurst | 26-5 | Mark Nusbaum | 73-59 | DeSmet | Hickman | 65-53 | Vianney | Mizzou Arena, UMC, Columbia |\n| 2014 | 1 | Scott County Central | 26-5 | Frank Staple | 69-39 | Meadville | Stanberry | 55-54 | Mack's Creek | Mizzou Arena, UCM, Columbia |\n| 2014 | 2 | Sacred Heart (Sedalia) | 31-0 | Steve Goodwin | 61-45 | Iberia | Canton | 61-54 | Thayer | Mizzou Arena, UCM, Columbia |\n| 2014 | 3 | Cardinal Ritter | 26-5 | Marvin Neals | 57-48 | Barstow | Strafford | 70-63 | College Prep Madison | Mizzou Arena, UCM, Columbia |\n| 2014 | 4 | Republic | 27-4 | Treyvon Fisher | 45-42 | Lafayette (St. Joseph) | Helias | 60-53 | Farmington | Mizzou Arena, UCM, Columbia |\n| 2014 | 5 | Christian Brothers | 25-7 | Justin Tatum | 86-77 | Hickman (Columbia) | Lee's Summit West | 70-58 | Hazelwood Central | Mizzou Arena, UCM, Columbia |\n| 2015 | 1 | Meadville | 32-0 | Drew Nier | 50-46 | Winston | Advance | 69-53 | Leeton | Mizzou Arena, UCM, Columbia |\n| 2015 | 2 | Scott County Central | 27-4 | Frank Staple | 53-48 | Mid-Buchanan | Crane | 63-40 | Canton | Mizzou Arena, UCM, Columbia |\n| 2015 | 3 | Barstow | 29-2 | Billy Thomas | 61-46 | Strafford | Central (New Madrid County) | 58-50 | The College Preparatory | Mizzou Arena, UCM, Columbia |\n| 2015 | 4 | St. Charles | 28-4 | Rick Foster | 74-69 | Hillcrest | Notre Dame (Cape Girardeau) | 65-44 | Bolivar | Mizzou Arena, UCM, Columbia |\n| 2015 | 5 | Blue Springs South | 29-2 | Jimmy Cain | 71-57 | Park Hill South | Chaminade | 71-35 | St. Louis University | Mizzou Arena, UCM, Columbia |\n| 2016 | 1 | Stanberry | 31-0 | Nick Groomer | 69-49 | Walnut Grove | Gideon | 71-51 | Glasgow | Mizzou Arena, UCM, Columbia |\n| 2016 | 2 | Hartville | 29-4 | Brett Reed | 64-37 | Iberia | Wellington-Napoleon | 65-56 | Bloomfield | Mizzou Arena, UCM, Columbia |\n| 2016 | 3 | Father Tolton Regional Catholic | 30-3 | Jeremy Osborne | 62-60 | Barstow | Mountain Grove | 69-62 | Whitfield | Mizzou Arena, UCM, Columbia |\n| 2016 | 4 | Vashon | 25-4 | Tony Irons | 69-58 | Lafayette (St. Joseph) | Helias | 63-51 | Sikeston | Mizzou Arena, UCM, Columbia |\n| 2016 | 5 | Chaminade | 27-5 | Frank Bennett | 72-59 | Kickapoo | St. Louis University | 70-67 | Lee's Summit | Mizzou Arena, UCM, Columbia |\n| 2017 | 1 | Walnut Grove | 30-3 | Darin Meinders | 65-62 | Advance | North Andrew | 60-56 | Glasgow | Mizzou Arena, UCM, Columbia |\n| 2017 | 2 | Oran | 23-8 | Joe Shoemaker | 70-63 | Crane | Harrisburg | 70-63 | Sacred Heart | Mizzou Arena, UCM, Columbia |\n| 2017 | 3 | Transportation and Law | 21-10 | Gerald Jones | 78-68 | Whitfield | Hogan Prep | 86-76 | Mountain Grove | Mizzou Arena, UCM, Columbia |\n| 2017 | 4 | Vashon | 27-3 | Tony Irons | 44-32 | Bolivar | Kearney | 50-40 | Parkway Central | Mizzou Arena, UCM, Columbia |\n| 2017 | 5 | Webster Groves | 29-2 | Jay Blossom | 70-35 | Lee's Summit West | Kickapoo | 89-78 | Chaminade | Mizzou Arena, UCM, Columbia |\n| 2018 | 1 | Eminence | 32-1 | Pete McBride | 79-72 | Walnut Grove | North Andrew | 72-58 | Chamois | JQH Arena (Missouri State University-Springfield) |\n| 2018 | 2 | Van-Far | 24-8 | Pat Connaway | 56-55 (OT) | Hayti | Mid-Buchanan | 83-63 | Purdy | JQH Arena (Missouri State University-Springfield) |\n| 2018 | 3 | Bishop Hogan Preparatory Academy | 26-4 | Rob Heitman | 63-58 | Charleston | Mountain Grove | 67-53 | Northwest Academy | JQH Arena (Missouri State University-Springfield) |\n| 2018 | 4 | Grandview | 28-3 | Reggie Morris | 81-63 | Raytown South | Jennings | 79-74 (OT) | Sikeston | JQH Arena (Missouri State University-Springfield) |\n| 2018 | 5 | Webster Groves | 22-9 | Jay Blossom | 101-90 | Chaminade College Preparatory | Rock Bridge | 68-47 | Liberty | JQH Arena (Missouri State University-Springfield) |" + } + ] + }, + { + "id": "table_recognition_train_item_111725", + "image": "table_instructV/images/Rotowire_train_table_205.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wizards | Washington | 117 | 28 | 24 | 33 | 32 | 24 | 33 | 15 | 53 | 70 | 53 | 12 | 14 | | | | |\n| Clippers | LA | 110 | 27 | 28 | 32 | 23 | 28 | 40 | 15 | 49 | 71 | 29 | 20 | 8 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| Bradley Beal | 38 | 41 | 3 | 3 | 13-23 | 56% | 6-10 | 60% | 9-11 | 82% | 1 | 1 | 0 | 0 | 3 | 2 | G | Washington |\n| Markieff Morris | 33 | 23 | 9 | 3 | 10-17 | 59% | 1-2 | 50% | 2-3 | 67% | 3 | 2 | 1 | 1 | 8 | 5 | F | Washington |\n| John Wall | 36 | 18 | 5 | 11 | 7-16 | 44% | 0-2 | 0% | 4-8 | 50% | 1 | 5 | 1 | 2 | 3 | 2 | G | Washington |\n| Otto Porter Jr. | 33 | 9 | 4 | 2 | 3-7 | 43% | 0-2 | 0% | 3-4 | 75% | 3 | 0 | 0 | 2 | 2 | 1 | F | Washington |\n| Marcin Gortat | 39 | 9 | 7 | 0 | 4-8 | 50% | 0-0 | 0% | 1-1 | 100% | 1 | 2 | 2 | 2 | 5 | 4 | C | Washington |\n| Marcus Thornton | 14 | 7 | 4 | 0 | 3-4 | 75% | 1-1 | 100% | 0-0 | 0% | 0 | 2 | 0 | 1 | 3 | 1 | N/A | Washington |\n| Trey Burke | 17 | 7 | 0 | 1 | 2-3 | 67% | 2-2 | 100% | 1-2 | 50% | 0 | 1 | 0 | 0 | 0 | 2 | N/A | Washington |\n| Andrew Nicholson | 13 | 3 | 0 | 1 | 1-2 | 50% | 0-0 | 0% | 1-1 | 100% | 1 | 1 | 0 | 0 | 0 | 3 | N/A | Washington |\n| Daniel Ochefu | 9 | 0 | 1 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 0 | 3 | N/A | Washington |\n| Tomas Satoransky | 8 | 0 | 0 | 2 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Washington |\n| Jason Smith | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Sheldon McClellan | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Clippers | | | | | | | | | | | | | | | | | | |\n| Blake Griffin | 38 | 26 | 7 | 7 | 10-21 | 48% | 0-0 | 0% | 6-8 | 75% | 1 | 2 | 0 | 1 | 6 | 1 | F | LA |\n| JJ Redick | 25 | 17 | 1 | 0 | 7-14 | 50% | 2-6 | 33% | 1-2 | 50% | 0 | 0 | 0 | 0 | 1 | 2 | G | LA |\n| Marreese Speights | 12 | 14 | 4 | 0 | 4-7 | 57% | 2-5 | 40% | 4-4 | 100% | 0 | 0 | 0 | 3 | 1 | 3 | N/A | LA |\n| DeAndre Jordan | 36 | 13 | 17 | 2 | 5-6 | 83% | 0-0 | 0% | 3-6 | 50% | 0 | 3 | 1 | 4 | 13 | 2 | C | LA |\n| Austin Rivers | 25 | 13 | 0 | 2 | 6-9 | 67% | 1-3 | 33% | 0-0 | 0% | 2 | 1 | 0 | 0 | 0 | 6 | N/A | LA |\n| Chris Paul | 37 | 13 | 4 | 12 | 6-15 | 40% | 1-5 | 20% | 0-1 | 0% | 2 | 3 | 0 | 1 | 3 | 4 | G | LA |\n| Luc Mbah a Moute | 17 | 6 | 1 | 0 | 2-4 | 50% | 0-1 | 0% | 2-2 | 100% | 1 | 1 | 0 | 1 | 0 | 2 | F | LA |\n| Jamal Crawford | 29 | 6 | 2 | 3 | 2-6 | 33% | 1-3 | 33% | 1-1 | 100% | 0 | 4 | 0 | 0 | 2 | 1 | N/A | LA |\n| Wesley Johnson | 10 | 2 | 2 | 1 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 1 | 1 | 2 | N/A | LA |\n| Raymond Felton | 11 | 0 | 2 | 1 | 0-3 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | LA |\n| Brandon Bass | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |\n| Alan Anderson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |\n| Paul Pierce | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |" + } + ] + }, + { + "id": "table_recognition_train_item_52334", + "image": "table_instructV/images/TabFact_2-10333757-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| calls | frequency | branding | format | timeslot | group owner |\n| --- | --- | --- | --- | --- | --- |\n| wgan | 560 khz | news radio 560 wgan | news / talk | live 3p - 6p | saga communications |\n| whyn | 560 khz | news / talk 560 whyn | news / talk | live 3p - 7p | clear channel communications |\n| wvmt | 620 khz | news / talk 620 wvmt | news / talk | live 3p - 7p | sison broadcasting |\n| wrko | 680 khz | am 680 wrko | news / talk | live 3p - 7p | entercom |\n| wcrn | 830 khz | wcrn 830 true talk | news / talk | live 3p - 7p | carter broadcasting |\n| wkbk | 1290 khz | 1290 wkbk w281au 104.1 | news / talk | live 3p - 6p | saga communications |\n| wegp | 1390 khz | wegp 1390 am - the talk of the county | news / talk | live 3p - 6p | decelles / media , inc |\n| wxtk | 95.1 mhz | news radio 95 wxtk | news / talk | live 3p - 7p | qantam of cape cod , llc |\n| wntk - fm | 99.7 mhz | wntk talk radio | news / talk | live 3p - 6p | koor communications |\n| wuvr | 1490 khz | wntk talk radio | news / talk | live 3p - 6p | koor communications |\n| wvom - fm / wvqm | 103.9 / 101.3 mhz | the voice of maine | news / talk | live 3p - 7p | blueberry broadcasting |" + } + ] + }, + { + "id": "table_recognition_train_item_30886", + "image": "table_instructV/images/TABMWP_1631.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| Number of roofs | Number of sparrows |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_33604", + "image": "table_instructV/images/TABMWP_30857.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| | Organic | Non-organic |\n| --- | --- | --- |\n| Apples | 6 | 2 |\n| Peaches | 3 | 2 |" + } + ] + }, + { + "id": "table_recognition_train_item_111421", + "image": "table_instructV/images/Rotowire_train_table_53.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Raptors | Toronto | 112 | 35 | 27 | 20 | 20 | 21 | 44 | 14 | 51 | 72 | 27 | 16 | 5 | | | | |\n| Nuggets | Denver | 107 | 30 | 22 | 29 | 21 | 21 | 49 | 13 | 41 | 73 | 33 | 9 | 12 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| Lou Williams | 28 | 26 | 3 | 1 | 7-16 | 44% | 3-10 | 30% | 9-10 | 90% | 0 | 2 | 1 | 1 | 2 | 2 | N/A | Toronto |\n| Patrick Patterson | 39 | 19 | 8 | 2 | 7-11 | 64% | 5-7 | 71% | 0-0 | 0% | 0 | 0 | 1 | 2 | 6 | 1 | N/A | Toronto |\n| Jonas Valanciunas | 31 | 18 | 12 | 0 | 8-11 | 73% | 0-0 | 0% | 2-3 | 67% | 0 | 2 | 4 | 2 | 10 | 5 | C | Toronto |\n| Terrence Ross | 40 | 16 | 4 | 0 | 7-15 | 47% | 1-8 | 13% | 1-2 | 50% | 1 | 0 | 0 | 0 | 4 | 0 | F | Toronto |\n| Kyle Lowry | 41 | 13 | 3 | 13 | 3-13 | 23% | 0-5 | 0% | 7-8 | 88% | 0 | 4 | 1 | 1 | 2 | 1 | G | Toronto |\n| Greivis Vasquez | 33 | 9 | 5 | 2 | 4-9 | 44% | 0-3 | 0% | 1-2 | 50% | 2 | 1 | 2 | 0 | 5 | 2 | G | Toronto |\n| Amir Johnson | 30 | 7 | 4 | 1 | 3-3 | 100% | 0-0 | 0% | 1-2 | 50% | 1 | 3 | 0 | 1 | 3 | 3 | F | Toronto |\n| James Johnson | 20 | 4 | 4 | 2 | 2-2 | 100% | 0-0 | 0% | 0-2 | 0% | 0 | 2 | 1 | 1 | 3 | 1 | N/A | Toronto |\n| Tyler Hansbrough | 3 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Toronto |\n| Charles Hayes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Greg Stiemsma | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Bruno Caboclo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Landry Fields | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Nuggets | | | | | | | | | | | | | | | | | | |\n| Arron Afflalo | 44 | 25 | 6 | 2 | 9-14 | 64% | 4-7 | 57% | 3-3 | 100% | 0 | 3 | 0 | 1 | 5 | 5 | G | Denver |\n| Ty Lawson | 49 | 22 | 6 | 12 | 8-19 | 42% | 2-8 | 25% | 4-6 | 67% | 2 | 3 | 0 | 0 | 6 | 5 | G | Denver |\n| Wilson Chandler | 47 | 18 | 6 | 3 | 7-21 | 33% | 4-11 | 36% | 0-0 | 0% | 3 | 1 | 0 | 0 | 6 | 3 | F | Denver |\n| Timofey Mozgov | 49 | 15 | 12 | 1 | 7-14 | 50% | 0-0 | 0% | 1-1 | 100% | 0 | 1 | 1 | 7 | 5 | 4 | C | Denver |\n| Darrell Arthur | 24 | 12 | 13 | 2 | 6-17 | 35% | 0-3 | 0% | 0-0 | 0% | 1 | 2 | 1 | 8 | 5 | 6 | N/A | Denver |\n| JJ Hickson | 23 | 10 | 5 | 0 | 4-8 | 50% | 0-0 | 0% | 2-3 | 67% | 0 | 1 | 0 | 2 | 3 | 1 | F | Denver |\n| Alonzo Gee | 14 | 3 | 0 | 1 | 1-4 | 25% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Denver |\n| Erick Green | 4 | 2 | 0 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Denver |\n| Gary Harris | 6 | 0 | 0 | 0 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 1 | N/A | Denver |\n| Danilo Gallinari | 6 | 0 | 1 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 0 | 0 | N/A | Denver |\n| JaVale McGee | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Kenneth Faried | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Nate Robinson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |" + } + ] + }, + { + "id": "table_recognition_train_item_67994", + "image": "table_instructV/images/TabFact_1-17964087-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| romanised name | chinese name | age at appointment | foreign nationality | portfolio attachment | prior occupation | govt salary |\n| --- | --- | --- | --- | --- | --- | --- |\n| chan chi - yuen , paul | 陳智遠 | 28 | n / a | food and health | research assistant , city university | hk 134150 |\n| cheung , raymond man - to | 張文韜 | 46 | n / a | education | barrister | hk134150 |\n| lo yik - kee , victor | 盧奕基 | 55 | british | security | assistant police commissioner (ret'd) | hk134150 |\n| mok yee - tuen , zandra | 莫宜端 | 35 | n / a | labour and welfare | journalist ,senior manager , bauhinia foundation | hk134150 |\n| ng kit - shuen , katherine | 伍潔鏇 | 34 | an singapore | financial services and the treasury | legal director , merrill lynch hk | hk163960 |\n| tsui ying - wai , caspar | 徐英偉 | 31 | canadian | home affairs | investment services manager , hang seng bank | hk134150 |\n| yip kan - chuen , frankie | 葉根銓 | 38 | n / a | financial secretary | public affairs manager , hk jockey club | hk134150 |" + } + ] + }, + { + "id": "table_recognition_train_item_58288", + "image": "table_instructV/images/TabFact_2-1552405-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| date | tournament | winning score | margin of victory | runner (s) - up |\n| --- | --- | --- | --- | --- |\n| jun 14 , 1981 | peter jackson champions | - 12 (67 + 68 + 69 = 204) | playoff | gene littler |\n| oct 18 , 1981 | suntree seniors classic | - 12 (68 + 71 + 65 = 204) | 4 strokes | bob goalby |\n| dec 6 , 1981 | pga seniors' championship | - 7 (68 + 72 + 68 + 73 = 281) | 2 strokes | arnold palmer |\n| jul 11 , 1982 | us senior open | - 2 (72 + 74 + 71 + 65 = 282) | 4 strokes | gene littler , dan sikes |\n| oct 17 , 1982 | suntree classic | - 24 (66 + 66 + 66 + 66 = 264) | 5 strokes | don january |\n| oct 24 , 1982 | hilton head seniors international | - 6 (69 + 69 = 138) | tie | dan sikes |\n| jun 12 , 1983 | senior tournament players championship | - 10 (71 + 69 + 70 + 68 = 278) | 1 stroke | gene littler |\n| jul 17 , 1983 | merrill lynch / golf digest commemorative pro - am | - 16 (65 + 66 + 69 = 200) | 5 strokes | gay brewer |\n| oct 2 , 1983 | united virginia bank seniors | - 5 (68 + 71 + 72 = 211) | 1 stroke | roberto de vicenzo , rod funseth , don january |\n| oct 23 , 1983 | hilton head seniors international | - 7 (72 + 69 + 71 + 69 = 281) | 3 strokes | gay brewer , jim ferree , gene littler |\n| jun 17 , 1984 | roy clark / skoal bandit senior challenge | - 1 (71 + 73 + 68 = 212) | 1 stroke | don january , peter thomson |\n| jul 1 , 1984 | us senior open | + 6 (74 + 71 + 70 + 71 = 286) | 2 strokes | arnold palmer |\n| jul 8 , 1984 | greater syracuse senior 's pro classic | - 10 (69 + 70 + 67 = 206) | 3 strokes | rod funseth |\n| sep 12 , 1984 | denver post champions of golf | - 8 (68 + 70 + 70 = 208) | 3 strokes | gay brewer |\n| feb 10 , 1985 | sunrise senior classic | - 5 (76 + 66 + 69 = 211) | 1 stroke | orville moody |\n| jun 30 , 1985 | us senior open | - 3 (71 + 72 + 71 + 71 = 285) | 4 strokes | roberto de vicenzo |\n| sep 22 , 1985 | painewebber world seniors invitational | - 11 (72 + 67 + 67 + 71 = 277) | 2 strokes | gay brewer |\n| jan 11 , 1986 | mony senior tournament of champions | - 6 (70 + 70 + 70 + 72 = 282) | 5 strokes | arnold palmer |\n| aug 30 , 1987 | showdown classic | - 6 (71 + 67 + 72 = 210) | 1 stroke | bruce crampton |\n| sep 27 , 1987 | newport cup | - 14 (67 + 70 + 65 = 202) | 2 strokes | bruce crampton |\n| ju1 18 , 1988 | showdown classic | - 9 (70 + 67 + 70 = 207) | 2 strokes | orville moody , dick rhyan , ben smith |\n| nov 13 , 1988 | fairfield barnett classic | - 19 (64 + 65 + 68 = 197) | 5 strokes | homero blancas |\n| jan 8 , 1989 | mony senior tournament of champions | - 8 (73 + 67 + 68 + 72 = 280) | 1 stroke | dale douglass |\n| mar 5 , 1989 | vintage chrysler invitational | - 7 (70 + 70 + 72 + 69 = 281) | 1 stroke | don bies , bob charles , larry mowry |" + } + ] + }, + { + "id": "table_recognition_train_item_117183", + "image": "table_instructV/images/Rotowire_train_table_2934.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Heat | Miami | 108 | 27 | 21 | 31 | 29 | 21 | 35 | 8 | 53 | 64 | 70 | 31 | 36 | | | | |\n| Trail Blazers | Portland | 104 | 32 | 25 | 24 | 23 | 22 | 45 | 15 | 51 | 57 | 39 | 44 | 22 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Dwyane Wade | 32 | 32 | 4 | 6 | 13-26 | 50% | 0-1 | 0% | 6-6 | 100% | 1 | 2 | 0 | 1 | 3 | 2 | G | Miami |\n| Luol Deng | 42 | 24 | 4 | 0 | 9-13 | 69% | 4-4 | 100% | 2-4 | 50% | 1 | 0 | 0 | 0 | 4 | 0 | F | Miami |\n| Goran Dragic | 39 | 20 | 3 | 11 | 9-16 | 56% | 1-2 | 50% | 1-2 | 50% | 2 | 1 | 0 | 0 | 3 | 2 | G | Miami |\n| Hassan Whiteside | 33 | 12 | 10 | 0 | 6-11 | 55% | 0-0 | 0% | 0-1 | 0% | 0 | 0 | 6 | 5 | 5 | 0 | C | Miami |\n| Udonis Haslem | 30 | 7 | 5 | 1 | 3-4 | 75% | 1-1 | 100% | 0-0 | 0% | 1 | 2 | 0 | 0 | 5 | 4 | F | Miami |\n| Michael Beasley | 18 | 6 | 2 | 0 | 3-7 | 43% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 3 | N/A | Miami |\n| Mario Chalmers | 14 | 5 | 1 | 1 | 2-5 | 40% | 1-1 | 100% | 0-1 | 0% | 1 | 3 | 0 | 1 | 0 | 4 | N/A | Miami |\n| Chris Andersen | 14 | 2 | 3 | 1 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 3 | 2 | N/A | Miami |\n| Tyler Johnson | 17 | 0 | 3 | 1 | 0-4 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 1 | N/A | Miami |\n| Shabazz Napier | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Henry Walker | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Zoran Dragic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| James Ennis III | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Trail Blazers | | | | | | | | | | | | | | | | | | |\n| LaMarcus Aldridge | 37 | 34 | 12 | 2 | 15-24 | 63% | 1-2 | 50% | 3-7 | 43% | 1 | 1 | 1 | 1 | 11 | 2 | F | Portland |\n| Damian Lillard | 35 | 17 | 3 | 3 | 7-13 | 54% | 2-5 | 40% | 1-3 | 33% | 1 | 4 | 0 | 0 | 3 | 1 | G | Portland |\n| Arron Afflalo | 33 | 15 | 3 | 1 | 5-13 | 39% | 4-6 | 67% | 1-2 | 50% | 0 | 0 | 0 | 0 | 3 | 2 | G | Portland |\n| Chris Kaman | 18 | 9 | 13 | 2 | 4-5 | 80% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 6 | 7 | 0 | N/A | Portland |\n| Nicolas Batum | 32 | 8 | 4 | 6 | 3-6 | 50% | 1-3 | 33% | 1-2 | 50% | 1 | 0 | 0 | 0 | 4 | 0 | F | Portland |\n| Robin Lopez | 30 | 6 | 6 | 1 | 2-5 | 40% | 0-0 | 0% | 2-2 | 100% | 0 | 3 | 1 | 5 | 1 | 2 | C | Portland |\n| Meyers Leonard | 11 | 5 | 3 | 1 | 1-4 | 25% | 0-1 | 0% | 3-3 | 100% | 0 | 1 | 0 | 1 | 2 | 1 | N/A | Portland |\n| CJ McCollum | 14 | 4 | 0 | 0 | 2-5 | 40% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 3 | N/A | Portland |\n| Dorell Wright | 16 | 3 | 1 | 0 | 1-4 | 25% | 1-4 | 25% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 3 | N/A | Portland |\n| Steve Blake | 14 | 3 | 0 | 6 | 1-2 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 4 | 0 | 0 | 0 | 1 | N/A | Portland |\n| Joel Freeland | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Allen Crabbe | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Alonzo Gee | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |" + } + ] + }, + { + "id": "table_recognition_train_item_56416", + "image": "table_instructV/images/TabFact_2-15715109-30.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| position | jersey | name | height (cm) | weight (kg) | birthdate | birthplace | 20052006 team |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| g | 31 | craig anderson | 188 | 79 | may 21 , 1981 | park ridge , illinois | chicago blackhawks |\n| g | 33 | jason bacashihua | 180 | 79 | september , 20 1982 | dearborn heights , michigan | st louis blues |\n| g | 30 | david mckee | 185 | 82 | december 5 , 1983 | midland , texas | cornell ( ecac ) |\n| d | 41 | andrew alberts | 196 | 104 | june 30 , 1981 | eden prairie , minnesota | boston bruins |\n| d | 6 | joe corvo | 185 | 93 | june 20 , 1977 | oak park , illinois | los angeles kings |\n| d | 25 | hal gill | 202 | 109 | april , 6 1975 | concord , massachusetts | boston bruins |\n| d | 55 | mike komisarek | 194 | 104 | january , 19 1982 | islip terrace , new york | montreal canadiens |\n| d | 34 | freddy meyer | 178 | 87 | january 4 , 1981 | sanbornville , new hampshire | philadelphia flyers |\n| d | 44 | brooks orpik | 188 | 99 | september , 26 1980 | san francisco , california | pittsburgh penguins |\n| d | 7 | ryan suter | 185 | 88 | january , 21 1985 | madison , wisconsin | nashville predators |\n| lw | 14 | mark cullen | 180 | 79 | october 28 , 1978 | moorhead , minnesota | chicago blackhawks |\n| lw | 9 | andy hilbert | 180 | 88 | february 6 , 1981 | howell , michigan | pittsburgh penguins |\n| lw | 12 | ryan malone | 193 | 102 | december , 1 1979 | pittsburgh , pennsylvania | pittsburgh penguins |\n| lw | 21 | yan stastny | 178 | 87 | september 30 , 1982 | quebec city , quebec , canada | providence bruins ( ahl ) |\n| c | 17 | ryan kesler | 188 | 92 | august , 31 1984 | livonia , michigan | vancouver canucks |\n| c | 10 | patrick o 'sullivan | 180 | 86 | february 1 , 1985 | toronto , canada | houston aeros ( ahl ) |\n| c | 11 | marty reasoner | 185 | 91 | february 26 , 1977 | honeoye falls , new york | boston bruins |\n| c | 16 | jim slater | 182 | 75 | december , 9 1982 | detroit , michigan | atlanta thrashers |\n| c | 20 | r j umberger | 181 | 91 | may , 3 1982 | pittsburgh , pennsylvania | philadelphia flyers |\n| rw | 23 | dustin brown | 187 | 82 | november , 4 1984 | ithaca , new york | los angeles kings |\n| rw | 28 | adam hall | 191 | 94 | august 14 , 1980 | kalamazoo , michigan | nashville predators |\n| rw | 8 | phil kessel | 180 | 82 | october , 2 1987 | madison , wisconsin | university of minnesota ( wcha ) |\n| rw | 18 | richard park | 183 | 86 | may 27 , 1976 | seoul , south korea | vancouver canucks |\n| rw | 19 | drew stafford | 188 | 92 | october 30 , 1985 | milwaukee , wisconsin | university of north dakota ( wcha ) |" + } + ] + }, + { + "id": "table_recognition_train_item_58674", + "image": "table_instructV/images/TabFact_2-14318917-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| game | march | opponent | score | record | points |\n| --- | --- | --- | --- | --- | --- |\n| 64 | 2 | toronto maple leafs | 2 - 2 | 41 - 15 - 8 | 90 |\n| 65 | 3 | new jersey devils | 4 - 1 | 42 - 15 - 8 | 92 |\n| 66 | 5 | washington capitals | 3 - 4 | 42 - 16 - 8 | 92 |\n| 67 | 6 | pittsburgh penguins | 5 - 3 | 43 - 16 - 8 | 94 |\n| 68 | 8 | chicago black hawks | 1 - 4 | 43 - 17 - 8 | 94 |\n| 69 | 10 | minnesota north stars | 6 - 3 | 44 - 17 - 8 | 96 |\n| 70 | 12 | boston bruins | 2 - 5 | 44 - 18 - 8 | 96 |\n| 71 | 14 | new york rangers | 2 - 8 | 44 - 19 - 8 | 96 |\n| 72 | 17 | montreal canadiens | 6 - 4 | 45 - 19 - 8 | 98 |\n| 73 | 19 | new york islanders | 2 - 9 | 45 - 20 - 8 | 98 |\n| 74 | 20 | washington capitals | 2 - 3 | 45 - 21 - 8 | 98 |\n| 75 | 24 | toronto maple leafs | 7 - 4 | 46 - 21 - 8 | 100 |\n| 76 | 25 | new jersey devils | 5 - 6 | 46 - 22 - 8 | 100 |\n| 77 | 27 | new jersey devils | 4 - 1 | 47 - 22 - 8 | 102 |\n| 78 | 31 | new york rangers | 2 - 4 | 47 - 23 - 8 | 102 |" + } + ] + }, + { + "id": "table_recognition_train_item_58586", + "image": "table_instructV/images/TabFact_2-1092361-12.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| edition | round | date | partner | surface | opponents | result |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1983 world group i | po | july 19 , 1983 | marina kondova | clay | angela longo lindsay standen | 6 - 4 , 6 - 2 |\n| 1983 world group i | po | july 21 , 1983 | adriana velcheva | clay | svetlana cherneva larisa savchenko | 4 - 6 , 3 - 6 |\n| 1984 world group i | r1 | july 15 , 1984 | katerina maleeva | clay | amanda brown anne hobbs | 7 - 6 , 7 - 5 |\n| 1984 world group i | r2 | july 16 , 1984 | katerina maleeva | clay | elena eliseenko larisa savchenko | 7 - 5 , 5 - 7 , 1 - 6 |\n| 1984 world group i | qf | july 18 , 1984 | katerina maleeva | clay | sabrina goleš mima jaušovec | 3 - 6 , 1 - 6 |\n| 1985 world group i | r1 | october 6 , 1985 | katerina maleeva | hard | natalia egorova svetlana cherneva | 6 - 3 , 7 - 5 |\n| 1985 world group i | r2 | october 8 , 1985 | katerina maleeva | hard | sabrina goleš aila winkler | 6 - 4 , 7 - 6 (9 - 7) |\n| 1985 world group i | qf | october 10 , 1985 | katerina maleeva | hard | jo durie anne hobbs | 4 - 5 , ret |\n| 1985 world group i | sf | october 12 , 1985 | katerina maleeva | hard | hana mandlíková helena suková | 3 - 6 , 6 - 7 (4 - 7) |\n| 1986 world group i | r1 | july 20 , 1986 | katerina maleeva | clay | svetlana cherneva larisa savchenko | 6 - 1 , 4 - 6 , 1 - 6 |\n| 1986 world group i | qf | july 23 , 1986 | katerina maleeva | clay | bettina bunge claudia kohde - kilsch | 4 - 6 , 2 - 6 |\n| 1989 world group i | r1 | october 1 , 1989 | katerina maleeva | hard | kim il - soon lee jeong - myung | 7 - 5 , 6 - 0 |\n| 1989 world group i | r2 | october 3 , 1989 | katerina maleeva | hard | florencia labat mercedes paz | 6 - 1 , 3 - 6 , 6 - 1 |\n| 1989 world group i | qf | october 5 , 1989 | katerina maleeva | hard | elizabeth smylie janine tremelling | 7 - 5 , 4 - 6 , 0 - 6 |\n| ↓representing ↓ | ↓representing ↓ | ↓representing ↓ | ↓representing ↓ | ↓representing ↓ | ↓representing ↓ | ↓representing ↓ |\n| 1991 world group i | r2 | july 24 , 1991 | cathy caverzasio | hard | li fang yi jing - qian | 1 - 3 , ret |\n| 1991 world group i | qf | july 25 , 1991 | cathy caverzasio | hard | jana novotná regina rajchrtová | 6 - 4 , 2 - 1 , ret |\n| 1992 world group i | r1 | july 14 , 1992 | michelle strebel | clay | maria lindström maria strandlund | 4 - 6 , 7 - 5 , 4 - 6 |" + } + ] + }, + { + "id": "table_recognition_train_item_55960", + "image": "table_instructV/images/TabFact_2-18336216-28.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| date | opponent | site | result | attendance |\n| --- | --- | --- | --- | --- |\n| september 23 , 1967 | oklahoma state | war memorial stadium little rock , ar | l6 - 7 | 53000 |\n| september 30 , 1967 | tulsa | razorback stadium fayetteville , ar | l12 - 14 | 40000 |\n| october 7 , 1967 | tcu | razorback stadium fayetteville , ar | w26 - 0 | 40000 |\n| october 14 , 1967 | baylor | baylor stadium waco , tx | t10 - 10 | 32000 |\n| october 21 , 1967 | texas | war memorial stadium little rock , ar | l12 - 21 | 53000 |\n| october 28 , 1967 | kansas state | war memorial stadium little rock , ar | w28 - 7 | 40000 |\n| november 4 , 1967 | texas a&m | razorback stadium fayetteville , ar ( rivalry ) | l21 - 33 | 41100 |\n| november 11 , 1967 | rice | rice stadium houston , tx | w23 - 9 | 34000 |\n| november 18 , 1967 | smu | ownby stadium dallas , tx | w35 - 17 | 25000 |\n| november 25 , 1967 | texas tech | war memorial stadium little rock , ar | l27 - 31 | 40000 |" + } + ] + }, + { + "id": "table_recognition_train_item_63226", + "image": "table_instructV/images/TabFact_2-1472429-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| country | date | label | format | catalog |\n| --- | --- | --- | --- | --- |\n| united kingdom | 31 january 2005 | parlophone | lp | 5607401 / 7243 5 60740 1 9 |\n| united kingdom | 31 january 2005 | parlophone | cd | 5607402 / 7243 5 60740 2 6 |\n| united kingdom | 31 january 2005 | parlophone | cd / dvd | 5637040 / 7243 5 63704 0 1 |\n| australia | 21 february 2005 | capitol records | cd | 5638612 |\n| japan | 23 february 2005 | toshiba - emi | cd | tocp 66347 / 4988006826823 |\n| japan | 6 july 2005 | toshiba - emi | cd | tocp 66405 |\n| united states | 12 april 2005 | astralwerks | cd / dvd | asw 60954 / |\n| united states | 10 may 2005 | astralwerks | cd | asw 73951 / 7243 8 73951 2 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_51458", + "image": "table_instructV/images/TAT-QA_36b9f7a2-43c5-472d-bbbd-79c7cd9e41d0.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| | December 31 | December 31 |\n| --- | --- | --- |\n| | 2019 | 2018 |\n| Office furniture | $79 | $79 |\n| Computer equipment | 81 | 67 |\n| Total | 160 | 146 |\n| Less accumulated depreciation | (144) | (137) |\n| Total property and equipment, net | $16 | $9 |" + } + ] + }, + { + "id": "table_recognition_train_item_48914", + "image": "table_instructV/images/TAT-QA_f77930d9-10f3-4ea3-8557-c6554fc9c823.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| | | At December 31, 2019 | |\n| --- | --- | --- | --- |\n| | Gross Carrying Amount | Unamortized Discount and Deferred Financing Costs | Net Carrying Amount |\n| 2021 Notes | $650 | $(2) | $648 |\n| 2022 Notes | 400 | (2) | 398 |\n| 2026 Notes | 850 | (7) | 843 |\n| 2027 Notes | 400 | (5) | 395 |\n| 2047 Notes | 400 | (9) | 391 |\n| Total long-term debt | $2,700 | $(25) | $2,675 |\n| | | At December 31, 2018 | |\n| | Gross Carrying Amount | Unamortized Discount and Deferred Financing Costs | Net Carrying Amount |\n| 2021 Notes | 650 | (3) | 647 |\n| 2022 Notes | 400 | (3) | 397 |\n| 2026 Notes | 850 | (8) | 842 |\n| 2027 Notes | 400 | (5) | 395 |\n| 2047 Notes | 400 | (10) | 390 |\n| Total long-term debt | $2,700 | $(29) | $2,671 |" + } + ] + }, + { + "id": "table_recognition_train_item_114835", + "image": "table_instructV/images/Rotowire_train_table_1760.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Spurs | San Antonio | 103 | 28 | 36 | 17 | 22 | 24 | 52 | 12 | 48 | 82 | 27 | 57 | 16 | | | | |\n| Cavaliers | Cleveland | 74 | 18 | 22 | 18 | 16 | 20 | 40 | 16 | 37 | 62 | 15 | 47 | 26 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Kawhi Leonard | 30 | 25 | 6 | 6 | 11-21 | 52% | 0-7 | 0% | 3-3 | 100% | 3 | 2 | 1 | 0 | 6 | 2 | F | San Antonio |\n| LaMarcus Aldridge | 29 | 14 | 7 | 4 | 4-11 | 36% | 0-1 | 0% | 6-6 | 100% | 1 | 2 | 1 | 4 | 3 | 1 | F | San Antonio |\n| Pau Gasol | 21 | 14 | 4 | 0 | 5-8 | 63% | 2-2 | 100% | 2-2 | 100% | 1 | 2 | 0 | 1 | 3 | 2 | N/A | San Antonio |\n| Manu Ginobili | 17 | 12 | 3 | 1 | 5-7 | 71% | 2-3 | 67% | 0-0 | 0% | 1 | 0 | 0 | 1 | 2 | 2 | N/A | San Antonio |\n| Patty Mills | 18 | 9 | 2 | 7 | 4-6 | 67% | 1-3 | 33% | 0-0 | 0% | 1 | 0 | 0 | 0 | 2 | 3 | N/A | San Antonio |\n| Dewayne Dedmon | 20 | 8 | 13 | 0 | 4-6 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 3 | 10 | 3 | C | San Antonio |\n| Danny Green | 19 | 5 | 2 | 1 | 1-7 | 14% | 1-6 | 17% | 2-2 | 100% | 2 | 2 | 4 | 0 | 2 | 1 | G | San Antonio |\n| Kyle Anderson | 19 | 4 | 4 | 1 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 0 | 4 | 1 | N/A | San Antonio |\n| Davis Bertans | 11 | 3 | 2 | 1 | 1-3 | 33% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 0 | N/A | San Antonio |\n| Jonathon Simmons | 11 | 3 | 1 | 1 | 1-3 | 33% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | San Antonio |\n| Bryn Forbes | 11 | 2 | 1 | 1 | 1-6 | 17% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | San Antonio |\n| David Lee | 15 | 2 | 6 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 5 | 0 | N/A | San Antonio |\n| Tony Parker | 20 | 2 | 1 | 1 | 1-3 | 33% | 0-0 | 0% | 0-2 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | G | San Antonio |\n| Cavaliers | | | | | | | | | | | | | | | | | | |\n| LeBron James | 30 | 17 | 8 | 8 | 7-17 | 41% | 0-3 | 0% | 3-6 | 50% | 0 | 2 | 0 | 3 | 5 | 3 | F | Cleveland |\n| Tristan Thompson | 26 | 11 | 7 | 0 | 4-5 | 80% | 0-0 | 0% | 3-4 | 75% | 0 | 1 | 1 | 2 | 5 | 3 | C | Cleveland |\n| Kevin Love | 27 | 9 | 7 | 4 | 4-12 | 33% | 1-6 | 17% | 0-0 | 0% | 2 | 2 | 0 | 2 | 5 | 2 | F | Cleveland |\n| Kyrie Irving | 26 | 8 | 3 | 2 | 4-13 | 31% | 0-2 | 0% | 0-1 | 0% | 0 | 3 | 0 | 0 | 3 | 2 | G | Cleveland |\n| Channing Frye | 22 | 8 | 3 | 0 | 4-7 | 57% | 0-3 | 0% | 0-0 | 0% | 2 | 1 | 0 | 0 | 3 | 2 | N/A | Cleveland |\n| JR Smith | 27 | 5 | 4 | 1 | 2-7 | 29% | 1-6 | 17% | 0-0 | 0% | 1 | 3 | 0 | 1 | 3 | 3 | G | Cleveland |\n| Richard Jefferson | 22 | 5 | 3 | 2 | 1-5 | 20% | 1-3 | 33% | 2-2 | 100% | 0 | 1 | 0 | 1 | 2 | 1 | N/A | Cleveland |\n| Kay Felder | 7 | 4 | 1 | 1 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 0 | N/A | Cleveland |\n| Deron Williams | 18 | 3 | 0 | 1 | 1-5 | 20% | 1-2 | 50% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 1 | N/A | Cleveland |\n| James Jones | 14 | 2 | 1 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 2 | 0 | 1 | 0 | 1 | 2 | N/A | Cleveland |\n| Derrick Williams | 14 | 2 | 2 | 0 | 1-4 | 25% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Cleveland |\n| DeAndre Liggins | 8 | 0 | 1 | 0 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Cleveland |\n| Iman Shumpert | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |" + } + ] + }, + { + "id": "table_recognition_train_item_117407", + "image": "table_instructV/images/Rotowire_train_table_3046.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wizards | Washington | 119 | 30 | 35 | 25 | 29 | 35 | 52 | 15 | 53 | 82 | 35 | 13 | 5 | | | | |\n| Nuggets | Denver | 89 | 28 | 18 | 23 | 20 | 16 | 36 | 19 | 38 | 73 | 23 | 9 | 10 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| Kris Humphries | 26 | 20 | 4 | 0 | 7-11 | 64% | 0-0 | 0% | 6-8 | 75% | 1 | 1 | 1 | 3 | 1 | 2 | F | Washington |\n| Kevin Seraphin | 23 | 16 | 4 | 1 | 8-12 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 2 | 3 | 1 | 4 | N/A | Washington |\n| Rasual Butler | 28 | 16 | 3 | 2 | 7-13 | 54% | 2-6 | 33% | 0-0 | 0% | 3 | 0 | 2 | 0 | 3 | 2 | N/A | Washington |\n| Marcin Gortat | 26 | 15 | 5 | 2 | 5-9 | 56% | 0-0 | 0% | 5-5 | 100% | 0 | 2 | 1 | 3 | 2 | 3 | C | Washington |\n| Bradley Beal | 25 | 14 | 2 | 4 | 5-10 | 50% | 4-6 | 67% | 0-0 | 0% | 1 | 2 | 0 | 0 | 2 | 1 | G | Washington |\n| Paul Pierce | 20 | 11 | 6 | 0 | 4-10 | 40% | 0-3 | 0% | 3-4 | 75% | 2 | 1 | 0 | 2 | 4 | 2 | F | Washington |\n| John Wall | 28 | 9 | 8 | 12 | 3-7 | 43% | 1-3 | 33% | 2-2 | 100% | 1 | 4 | 2 | 0 | 8 | 3 | G | Washington |\n| Nene | 18 | 8 | 8 | 0 | 2-4 | 50% | 0-0 | 0% | 4-6 | 67% | 2 | 0 | 1 | 3 | 5 | 0 | N/A | Washington |\n| Otto Porter | 23 | 4 | 7 | 4 | 1-4 | 25% | 0-2 | 0% | 2-2 | 100% | 1 | 1 | 2 | 0 | 7 | 0 | N/A | Washington |\n| Andre Miller | 16 | 4 | 3 | 7 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 2 | N/A | Washington |\n| DeJuan Blair | 4 | 2 | 1 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Washington |\n| Garrett Temple | 4 | 0 | 1 | 3 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 1 | N/A | Washington |\n| Drew Gooden | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Nuggets | | | | | | | | | | | | | | | | | | |\n| Wilson Chandler | 25 | 20 | 5 | 0 | 6-14 | 43% | 3-4 | 75% | 5-5 | 100% | 0 | 1 | 1 | 2 | 3 | 5 | F | Denver |\n| Ty Lawson | 35 | 14 | 4 | 10 | 3-10 | 30% | 0-2 | 0% | 8-8 | 100% | 3 | 1 | 0 | 0 | 4 | 2 | G | Denver |\n| Kenneth Faried | 18 | 9 | 3 | 1 | 4-5 | 80% | 0-0 | 0% | 1-2 | 50% | 2 | 5 | 0 | 1 | 2 | 1 | F | Denver |\n| JJ Hickson | 20 | 8 | 6 | 1 | 3-9 | 33% | 0-0 | 0% | 2-3 | 67% | 1 | 2 | 1 | 3 | 3 | 3 | N/A | Denver |\n| Danilo Gallinari | 16 | 7 | 2 | 0 | 3-7 | 43% | 1-4 | 25% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Denver |\n| Alonzo Gee | 12 | 7 | 2 | 1 | 2-3 | 67% | 0-0 | 0% | 3-6 | 50% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | Denver |\n| Timofey Mozgov | 21 | 6 | 6 | 0 | 2-5 | 40% | 0-0 | 0% | 2-2 | 100% | 1 | 0 | 2 | 1 | 5 | 3 | C | Denver |\n| Nate Robinson | 11 | 6 | 0 | 0 | 2-5 | 40% | 1-3 | 33% | 1-2 | 50% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Denver |\n| Arron Afflalo | 26 | 4 | 0 | 0 | 2-9 | 22% | 0-5 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 0 | G | Denver |\n| Erick Green | 9 | 4 | 0 | 1 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Denver |\n| Darrell Arthur | 15 | 2 | 4 | 2 | 1-5 | 20% | 0-2 | 0% | 0-0 | 0% | 0 | 4 | 1 | 2 | 2 | 3 | N/A | Denver |\n| JaVale McGee | 12 | 2 | 3 | 0 | 1-3 | 33% | 0-0 | 0% | 0-2 | 0% | 0 | 1 | 2 | 0 | 3 | 1 | N/A | Denver |\n| Gary Harris | 19 | 0 | 1 | 0 | 0-4 | 0% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 2 | N/A | Denver |" + } + ] + }, + { + "id": "table_recognition_train_item_117617", + "image": "table_instructV/images/Rotowire_train_table_3151.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wizards | Washington | 104 | 30 | 27 | 23 | 24 | 28 | 37 | 14 | 49 | 81 | 56 | 16 | 6 | | | | |\n| Clippers | Los Angeles | 96 | 21 | 21 | 25 | 29 | 14 | 37 | 18 | 43 | 84 | 30 | 16 | 6 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| Bradley Beal | 39 | 29 | 3 | 4 | 9-17 | 53% | 4-7 | 57% | 7-8 | 88% | 3 | 2 | 0 | 1 | 2 | 3 | G | Washington |\n| Marcin Gortat | 22 | 18 | 2 | 0 | 8-10 | 80% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 2 | 0 | 2 | 3 | C | Washington |\n| Paul Pierce | 29 | 11 | 5 | 5 | 4-9 | 44% | 1-3 | 33% | 2-4 | 50% | 1 | 0 | 0 | 1 | 4 | 2 | F | Washington |\n| Kris Humphries | 27 | 11 | 8 | 1 | 4-11 | 36% | 0-0 | 0% | 3-3 | 100% | 3 | 3 | 1 | 2 | 6 | 3 | F | Washington |\n| John Wall | 38 | 10 | 1 | 11 | 4-10 | 40% | 2-2 | 100% | 0-0 | 0% | 1 | 3 | 2 | 0 | 1 | 4 | G | Washington |\n| Nene | 23 | 9 | 5 | 2 | 4-8 | 50% | 0-0 | 0% | 1-2 | 50% | 2 | 1 | 0 | 2 | 3 | 3 | N/A | Washington |\n| Rasual Butler | 25 | 8 | 2 | 1 | 3-6 | 50% | 2-4 | 50% | 0-0 | 0% | 0 | 2 | 0 | 1 | 1 | 2 | N/A | Washington |\n| Kevin Seraphin | 15 | 4 | 7 | 0 | 2-6 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 6 | 3 | N/A | Washington |\n| Andre Miller | 10 | 2 | 0 | 4 | 0-1 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 0 | 2 | N/A | Washington |\n| Otto Porter | 8 | 2 | 4 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 1 | 3 | 0 | N/A | Washington |\n| DeJuan Blair | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Washington |\n| Garrett Temple | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Washington |\n| Drew Gooden | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Clippers | | | | | | | | | | | | | | | | | | |\n| Chris Paul | 35 | 19 | 7 | 6 | 7-14 | 50% | 1-4 | 25% | 4-4 | 100% | 0 | 6 | 0 | 2 | 5 | 1 | G | Los Angeles |\n| Blake Griffin | 37 | 14 | 2 | 3 | 6-13 | 46% | 0-0 | 0% | 2-4 | 50% | 1 | 2 | 0 | 1 | 1 | 5 | F | Los Angeles |\n| Jamal Crawford | 27 | 12 | 3 | 1 | 2-13 | 15% | 0-4 | 0% | 8-9 | 89% | 2 | 1 | 0 | 1 | 2 | 1 | N/A | Los Angeles |\n| Matt Barnes | 28 | 11 | 6 | 1 | 4-9 | 44% | 1-4 | 25% | 2-2 | 100% | 1 | 5 | 0 | 3 | 3 | 4 | F | Los Angeles |\n| DeAndre Jordan | 25 | 11 | 8 | 0 | 4-4 | 100% | 0-0 | 0% | 3-3 | 100% | 1 | 1 | 1 | 3 | 5 | 4 | C | Los Angeles |\n| JJ Redick | 31 | 10 | 4 | 2 | 4-9 | 44% | 1-2 | 50% | 1-1 | 100% | 1 | 0 | 0 | 0 | 4 | 0 | G | Los Angeles |\n| Hedo Turkoglu | 18 | 6 | 3 | 1 | 2-4 | 50% | 2-3 | 67% | 0-0 | 0% | 0 | 1 | 0 | 1 | 2 | 0 | N/A | Los Angeles |\n| Glen Davis | 13 | 5 | 2 | 0 | 1-4 | 25% | 0-0 | 0% | 3-4 | 75% | 1 | 1 | 0 | 1 | 1 | 2 | N/A | Los Angeles |\n| CJ Wilcox | 2 | 3 | 1 | 0 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Los Angeles |\n| Jordan Farmar | 14 | 2 | 0 | 0 | 1-3 | 33% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Los Angeles |\n| Ekpe Udoh | 2 | 2 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Los Angeles |\n| Spencer Hawes | 6 | 1 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 1 | 0 | 0 | 1 | N/A | Los Angeles |\n| Jared Cunningham | 2 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Los Angeles |" + } + ] + }, + { + "id": "table_recognition_train_item_35521", + "image": "table_instructV/images/TABMWP_36372.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| | Fear of snakes | Fear of heights |\n| --- | --- | --- |\n| Social worker | 5 | 4 |\n| Doctor | 6 | 2 |" + } + ] + }, + { + "id": "table_recognition_train_item_105924", + "image": "table_instructV/images/ToTTo_train_table_24858.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Callsign | Frequency | City of license | Facility ID | ERP | HAAT | Class | Transmitter coordinates |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| W256BT | 99.1 MHz | Cleveland | 154527 | 250 watts | 253.9 meters | D | 41°23′1.80″N 81°41′43.50″W / 41.3838333°N 81.6954167°W |" + } + ] + }, + { + "id": "table_recognition_train_item_31102", + "image": "table_instructV/images/TABMWP_4106.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Location | Elevation (m) |\n| --- | --- |\n| Top of the skyscraper | 275 |\n| Bottom of the mine | -260 |" + } + ] + }, + { + "id": "table_recognition_train_item_115915", + "image": "table_instructV/images/Rotowire_train_table_2300.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Raptors | Toronto | 100 | 23 | 28 | 22 | 27 | 23 | 39 | 10 | 40 | 85 | 26 | 3 | 1 | | | | |\n| Thunder | Oklahoma City | 88 | 30 | 22 | 18 | 18 | 23 | 41 | 19 | 52 | 56 | 29 | 1 | 4 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| DeMar DeRozan | 31 | 16 | 3 | 3 | 4-12 | 33% | 1-3 | 33% | 7-9 | 78% | 0 | 2 | 0 | 0 | 3 | 1 | G | Toronto |\n| Patrick Patterson | 36 | 14 | 8 | 2 | 5-9 | 56% | 2-2 | 100% | 2-2 | 100% | 2 | 1 | 1 | 2 | 6 | 2 | F | Toronto |\n| Lou Williams | 19 | 12 | 2 | 0 | 4-9 | 44% | 2-5 | 40% | 2-2 | 100% | 2 | 1 | 0 | 0 | 2 | 0 | N/A | Toronto |\n| Tyler Hansbrough | 27 | 12 | 7 | 1 | 2-6 | 33% | 0-2 | 0% | 8-10 | 80% | 1 | 0 | 0 | 3 | 4 | 3 | N/A | Toronto |\n| Greivis Vasquez | 18 | 10 | 3 | 4 | 4-12 | 33% | 1-7 | 14% | 1-1 | 100% | 0 | 2 | 0 | 0 | 3 | 2 | N/A | Toronto |\n| Terrence Ross | 25 | 9 | 3 | 1 | 4-10 | 40% | 1-6 | 17% | 0-0 | 0% | 0 | 2 | 0 | 0 | 3 | 2 | F | Toronto |\n| Kyle Lowry | 31 | 9 | 3 | 5 | 2-7 | 29% | 0-4 | 0% | 5-5 | 100% | 0 | 0 | 0 | 0 | 3 | 3 | G | Toronto |\n| James Johnson | 21 | 8 | 4 | 5 | 3-7 | 43% | 1-2 | 50% | 1-2 | 50% | 0 | 1 | 1 | 2 | 2 | 3 | N/A | Toronto |\n| Jonas Valanciunas | 13 | 6 | 2 | 1 | 2-5 | 40% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 1 | 2 | 0 | 2 | C | Toronto |\n| Greg Stiemsma | 13 | 4 | 3 | 1 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 3 | 0 | 5 | N/A | Toronto |\n| Charles Hayes | 7 | 0 | 1 | 0 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Toronto |\n| Lucas Nogueira | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Landry Fields | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Serge Ibaka | 46 | 25 | 11 | 2 | 11-14 | 79% | 3-6 | 50% | 0-0 | 0% | 0 | 3 | 1 | 0 | 11 | 5 | F | Oklahoma City |\n| Lance Thomas | 33 | 14 | 5 | 1 | 6-11 | 55% | 0-0 | 0% | 2-3 | 67% | 1 | 2 | 0 | 1 | 4 | 0 | G | Oklahoma City |\n| Reggie Jackson | 42 | 13 | 4 | 14 | 4-14 | 29% | 0-6 | 0% | 5-8 | 63% | 0 | 4 | 0 | 1 | 3 | 5 | G | Oklahoma City |\n| Nick Collison | 27 | 11 | 8 | 1 | 4-7 | 57% | 2-4 | 50% | 1-2 | 50% | 0 | 2 | 1 | 2 | 6 | 3 | N/A | Oklahoma City |\n| Sebastian Telfair | 27 | 11 | 4 | 3 | 4-8 | 50% | 1-4 | 25% | 2-4 | 50% | 2 | 3 | 0 | 1 | 3 | 4 | N/A | Oklahoma City |\n| Steven Adams | 31 | 10 | 6 | 2 | 3-4 | 75% | 0-0 | 0% | 4-6 | 67% | 1 | 2 | 0 | 0 | 6 | 5 | C | Oklahoma City |\n| Perry Jones III | 18 | 4 | 1 | 0 | 2-4 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 3 | F | Oklahoma City |\n| Kendrick Perkins | 17 | 0 | 2 | 0 | 0-3 | 0% | 0-0 | 0% | 0-2 | 0% | 0 | 2 | 1 | 1 | 1 | 2 | N/A | Oklahoma City |\n| Anthony Morrow | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Jeremy Lamb | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Russell Westbrook | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Andre Roberson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |" + } + ] + }, + { + "id": "table_recognition_train_item_33377", + "image": "table_instructV/images/TABMWP_28743.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 9 | 14 |\n| 10 | 4 |\n| 11 | 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_31029", + "image": "table_instructV/images/TABMWP_3328.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Number of rooms | Number of windows |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | 10 |\n| 6 | ? |" + } + ] + }, + { + "id": "table_recognition_train_item_103535", + "image": "table_instructV/images/ToTTo_train_table_14750.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Year | Date of Giving Tuesday | Total money moved | Total money moved through Blackbaud (the biggest donation processor) | Total money moved through Facebook | Other money moved |\n| --- | --- | --- | --- | --- | --- |\n| 2012 | November 27 | no information | $10.1 million | N/A | no information |\n| 2013 | December 3 | $28 million (covers Blackbaud, DonorPerfect, GlobalGiving, Network for Good, and Razoo) | $19.2 million (+90% over 2012) | N/A | no information |\n| 2014 | December 2 | $45.7 million ($34.9 million online, $10.8 million offline) (covers Blackbaud, DonorPerfect, GlobalGiving, Network for Good, and Razoo) (+63% over 2013); also Indiegogo money moved of $7.5 million | $26.1 million (+36% over 2013, +159% over 2012) | N/A | Indiegogo reported raising $7.5 million for 419 organizations. |\n| 2015 | December 1 | $116.7 million | $39.6 million (+52% over 2014, +292% over 2012) | | |\n| 2016 | November 29 | Estimates of $168 million and $177 million | $47.7 million | $6.79 million, of which Facebook and the Gates Foundation matched $900,000 | PayPal: $48 million |\n| 2017 | November 28 | $274 million | $60.9 million | $45 million, of which Facebook and the Gates Foundation matched $2 million | PayPal: $64 million |\n| 2018 | November 27 | $400 million (tentative approximate estimates) | $62.6 million | $125 million, of which Facebook and PayPal matched $7 million | PayPal: $98 million, DonorPerfect: $35.2 million, Classy: $15.4 million |" + } + ] + }, + { + "id": "table_recognition_train_item_66188", + "image": "table_instructV/images/TabFact_1-11950720-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| no | player | date of birth | batting style | bowling style | first class team |\n| --- | --- | --- | --- | --- | --- |\n| 51 | mohammad azharuddin (captain) | 8 february 1963 | right hand bat | right arm medium | hyderabad derbyshire |\n| 111 | ajit agarkar | 4 december 1977 | right hand bat | right arm fast - medium | bombay |\n| 95 | rahul dravid | 11 january 1973 | right hand bat | right arm off break | karnataka |\n| 84 | sourav ganguly | 8 july 1972 | left hand bat | right arm medium | bengal |\n| 85 | ajay jadeja | 1 february 1971 | right hand bat | right arm medium | haryana |\n| 98 | sunil joshi | 6 june 1970 | left hand bat | left arm orthodox spin | karnataka |\n| 78 | anil kumble | 17 october 1970 | right hand bat | right arm leg break googly | karnataka |\n| 112 | v v s laxman | 1 november 1974 | right hand bat | right arm off break | hyderabad |\n| 88 | nayan mongia (wicket - keeper) | 19 december 1969 | right hand bat | wicket - keeper | baroda |\n| 89 | venkatesh prasad | 5 august 1969 | right hand bat | right arm medium - fast | karnataka |\n| 71 | robin singh | 14 september 1963 | left hand bat | right arm medium - fast | tamil nadu |\n| 81 | javagal srinath | 31 august 1969 | right hand bat | right arm fast - medium | karnataka |\n| 74 | sachin tendulkar | 24 april 1973 | right hand bat | right arm off break right arm leg break googly | bombay |" + } + ] + }, + { + "id": "table_recognition_train_item_30792", + "image": "table_instructV/images/TABMWP_525.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| | E-readers | Paperback books |\n| --- | --- | --- |\n| About 1 hour per week | 3 | 3 |\n| About 3 hours per week | 2 | 2 |" + } + ] + }, + { + "id": "table_recognition_train_item_102031", + "image": "table_instructV/images/ToTTo_train_table_8648.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| # | Date | Venue | Opponent | Score | Result | Competition |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 12 August 2009 | Lokomotiv Stadium, Moscow, Russia | Russia | 2–1 | 3–2 | Friendly |" + } + ] + }, + { + "id": "table_recognition_train_item_69016", + "image": "table_instructV/images/TabFact_1-13759592-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| institution | location | founded | affiliation | enrollment | nickname |\n| --- | --- | --- | --- | --- | --- |\n| bellevue | bellevue | 1923 | public ( bellevue sd ) | 1327 | wolverines |\n| interlake | bellevue | 1968 | public ( bellevue sd ) | 1341 | s saint |\n| juanita | kirkland | 1971 | public ( lake washington sd ) | 1010 | rebels |\n| liberty | renton | 1977 | public ( issaquah sd ) | 1237 | patriots |\n| mercer island | mercer island | 1957 | public ( mercer island sd ) | 1424 | ers island |" + } + ] + }, + { + "id": "table_recognition_train_item_32573", + "image": "table_instructV/images/TABMWP_19402.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | Polarized lenses | Regular lenses |\n| --- | --- | --- |\n| Cat eye frames | 4 | 4 |\n| Browline frames | 7 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_34062", + "image": "table_instructV/images/TABMWP_35636.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| | Caffeine-free | Caffeinated |\n| --- | --- | --- |\n| Mint | 3 | 2 |\n| Fruity | 3 | 3 |" + } + ] + }, + { + "id": "table_recognition_train_item_32463", + "image": "table_instructV/images/TABMWP_18205.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 0 | 14 |\n| 1 | 9 |\n| 2 | 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_52752", + "image": "table_instructV/images/TabFact_1-11173827-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| rank | english title | chinese title | average | peak | premiere | finale | hk viewers |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | the family link | 師奶兵團 | 33 | 42 | 31 | 33 | 2.12 million |\n| 2 | fathers and sons | 爸爸閉翳 | 32 | 40 | 31 | 37 | 2.11 million |\n| 3 | heart of greed | 溏心風暴 | 32 | 48 | 29 | 40 | 2.08 million |\n| 4 | ten brothers | 十兄弟 | 32 | 39 | 29 | 36 | 2.05 million |\n| 5 | on the first beat | 學警出更 | 31 | 38 | 30 | 35 | 2.03 million |\n| 6 | the green grass of home | 緣來自有機 | 31 | 36 | 29 | 33 | 2.01 million |\n| 7 | dicey business | 賭場風雲 | 31 | 37 | 30 | 34 | 1.99 million |\n| 8 | steps | 舞動全城 | 31 | 36 | 31 | 32 | 1.98 million |\n| 9 | the drive of life | 歲月風雲 | 30 | 39 | 31 | 33 | 1.97 million |" + } + ] + }, + { + "id": "table_recognition_train_item_115165", + "image": "table_instructV/images/Rotowire_train_table_1925.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Jazz | Utah | 105 | 24 | 25 | 33 | 23 | 20 | 40 | 9 | 45 | 93 | 36 | 12 | 9 | | | | |\n| Nuggets | Denver | 98 | 21 | 26 | 16 | 35 | 19 | 37 | 14 | 45 | 79 | 54 | 7 | 13 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Jazz | | | | | | | | | | | | | | | | | | |\n| Gordon Hayward | 37 | 32 | 4 | 0 | 9-18 | 50% | 3-4 | 75% | 11-11 | 100% | 2 | 4 | 0 | 0 | 4 | 2 | F | Utah |\n| Rodney Hood | 28 | 15 | 6 | 1 | 4-14 | 29% | 1-6 | 17% | 6-7 | 86% | 2 | 1 | 0 | 1 | 5 | 2 | G | Utah |\n| Trey Lyles | 20 | 12 | 4 | 1 | 4-9 | 44% | 2-5 | 40% | 2-2 | 100% | 0 | 0 | 1 | 0 | 4 | 1 | N/A | Utah |\n| Dante Exum | 22 | 10 | 2 | 2 | 3-7 | 43% | 0-3 | 0% | 4-4 | 100% | 0 | 0 | 0 | 0 | 2 | 1 | G | Utah |\n| Shelvin Mack | 26 | 8 | 1 | 4 | 3-9 | 33% | 0-1 | 0% | 2-2 | 100% | 2 | 1 | 0 | 0 | 1 | 1 | N/A | Utah |\n| Joe Ingles | 27 | 8 | 3 | 4 | 3-5 | 60% | 2-3 | 67% | 0-0 | 0% | 1 | 1 | 0 | 0 | 3 | 1 | N/A | Utah |\n| Joe Johnson | 17 | 7 | 2 | 3 | 3-6 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 1 | N/A | Utah |\n| Rudy Gobert | 37 | 7 | 11 | 1 | 3-4 | 75% | 0-0 | 0% | 1-2 | 50% | 1 | 1 | 2 | 3 | 8 | 3 | C | Utah |\n| Boris Diaw | 23 | 4 | 6 | 4 | 2-5 | 40% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 5 | 0 | F | Utah |\n| Jeff Withey | 4 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 1 | N/A | Utah |\n| George Hill | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Raul Neto | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Joel Bolomboy | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Nuggets | | | | | | | | | | | | | | | | | | |\n| Will Barton | 34 | 20 | 5 | 4 | 8-15 | 53% | 3-4 | 75% | 1-2 | 50% | 2 | 4 | 1 | 0 | 5 | 2 | G | Denver |\n| Wilson Chandler | 41 | 20 | 5 | 3 | 7-14 | 50% | 3-6 | 50% | 3-3 | 100% | 2 | 0 | 0 | 0 | 5 | 4 | N/A | Denver |\n| Jameer Nelson | 26 | 13 | 4 | 7 | 5-8 | 63% | 3-5 | 60% | 0-1 | 0% | 0 | 4 | 1 | 1 | 3 | 2 | N/A | Denver |\n| Danilo Gallinari | 35 | 12 | 5 | 1 | 3-11 | 27% | 1-2 | 50% | 5-5 | 100% | 2 | 0 | 0 | 1 | 4 | 2 | F | Denver |\n| Emmanuel Mudiay | 22 | 12 | 3 | 0 | 5-11 | 46% | 2-4 | 50% | 0-0 | 0% | 1 | 0 | 2 | 0 | 3 | 1 | G | Denver |\n| Kenneth Faried | 29 | 10 | 6 | 0 | 4-8 | 50% | 0-0 | 0% | 2-3 | 67% | 0 | 1 | 1 | 2 | 4 | 1 | F | Denver |\n| Jusuf Nurkic | 13 | 8 | 4 | 1 | 4-6 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 3 | 1 | 2 | C | Denver |\n| Darrell Arthur | 12 | 3 | 1 | 1 | 1-4 | 25% | 1-1 | 100% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 4 | N/A | Denver |\n| Alonzo Gee | 4 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 3 | N/A | Denver |\n| Jamal Murray | 18 | 0 | 4 | 2 | 0-4 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 3 | 0 | 0 | 4 | 0 | N/A | Denver |\n| Juan Hernangomez | 6 | 0 | 0 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Denver |\n| Malik Beasley | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Mike Miller | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |" + } + ] + }, + { + "id": "table_recognition_train_item_105873", + "image": "table_instructV/images/ToTTo_train_table_24652.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Distance | Mark | Date | Location |\n| --- | --- | --- | --- |\n| 800 m | 1:44.49 | 28 July 2000 | Oslo |\n| 1000 m | 2:11.96 WR | 5 September 1999 | Rieti |\n| 1500 m | 3:28.12 | 11 August 2000 | Zürich |\n| Mile | 3:43.40 | 7 July 1999 | Rome |\n| 2000 m | 4:50.08 | 30 July 1999 | Stockholm |\n| 3000 m | 7:35.46 | 9 June 2000 | Seville |" + } + ] + }, + { + "id": "table_recognition_train_item_112889", + "image": "table_instructV/images/Rotowire_train_table_787.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Mavericks | Dallas | 94 | 23 | 30 | 14 | 27 | 17 | 44 | 13 | 39 | 89 | 21 | 2 | 3 | | | | |\n| Hornets | Charlotte | 108 | 27 | 27 | 24 | 30 | 19 | 48 | 11 | 49 | 82 | 22 | 2 | 3 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Mavericks | | | | | | | | | | | | | | | | | | |\n| Deron Williams | 28 | 15 | 3 | 5 | 6-10 | 60% | 0-2 | 0% | 3-3 | 100% | 1 | 1 | 0 | 0 | 3 | 3 | G | Dallas |\n| Dwight Powell | 23 | 14 | 9 | 1 | 6-12 | 50% | 0-0 | 0% | 2-4 | 50% | 1 | 0 | 1 | 2 | 7 | 2 | N/A | Dallas |\n| Zaza Pachulia | 26 | 14 | 10 | 2 | 4-6 | 67% | 0-0 | 0% | 6-6 | 100% | 2 | 2 | 1 | 2 | 8 | 1 | C | Dallas |\n| Dirk Nowitzki | 28 | 14 | 6 | 0 | 4-12 | 33% | 0-3 | 0% | 6-6 | 100% | 0 | 0 | 0 | 1 | 5 | 1 | F | Dallas |\n| Wesley Matthews | 26 | 11 | 1 | 0 | 2-9 | 22% | 2-7 | 29% | 5-6 | 83% | 1 | 1 | 0 | 0 | 1 | 1 | F | Dallas |\n| J.J. Barea | 21 | 8 | 0 | 6 | 3-6 | 50% | 2-4 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Dallas |\n| Raymond Felton | 24 | 7 | 2 | 1 | 3-7 | 43% | 1-3 | 33% | 0-0 | 0% | 0 | 3 | 0 | 0 | 2 | 3 | G | Dallas |\n| Charlie Villanueva | 13 | 7 | 7 | 0 | 3-8 | 38% | 1-5 | 20% | 0-0 | 0% | 1 | 2 | 0 | 1 | 6 | 1 | N/A | Dallas |\n| John Jenkins | 4 | 2 | 2 | 1 | 0-2 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Dallas |\n| Chandler Parsons | 14 | 2 | 1 | 0 | 1-5 | 20% | 0-3 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 0 | 0 | N/A | Dallas |\n| Justin Anderson | 4 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | Dallas |\n| Devin Harris | 20 | 0 | 1 | 1 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 3 | 0 | 0 | 1 | 1 | N/A | Dallas |\n| Jeremy Evans | 10 | 0 | 1 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Dallas |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Al Jefferson | 27 | 31 | 9 | 1 | 15-18 | 83% | 0-0 | 0% | 1-1 | 100% | 0 | 2 | 1 | 3 | 6 | 3 | C | Charlotte |\n| Marvin Williams | 32 | 17 | 12 | 2 | 6-11 | 55% | 3-5 | 60% | 2-3 | 67% | 0 | 1 | 1 | 2 | 10 | 3 | F | Charlotte |\n| Jeremy Lamb | 24 | 16 | 4 | 0 | 7-11 | 64% | 2-4 | 50% | 0-0 | 0% | 0 | 0 | 0 | 2 | 2 | 2 | N/A | Charlotte |\n| Kemba Walker | 30 | 14 | 2 | 7 | 4-11 | 36% | 1-5 | 20% | 5-6 | 83% | 1 | 1 | 0 | 0 | 2 | 2 | G | Charlotte |\n| Cody Zeller | 19 | 11 | 3 | 0 | 4-6 | 67% | 0-0 | 0% | 3-4 | 75% | 2 | 0 | 1 | 0 | 3 | 3 | N/A | Charlotte |\n| Nicolas Batum | 34 | 8 | 7 | 4 | 3-10 | 30% | 0-5 | 0% | 2-2 | 100% | 2 | 1 | 1 | 1 | 6 | 1 | G | Charlotte |\n| Jeremy Lin | 17 | 7 | 1 | 2 | 3-8 | 38% | 0-3 | 0% | 1-1 | 100% | 2 | 4 | 1 | 0 | 1 | 2 | N/A | Charlotte |\n| PJ Hairston | 22 | 4 | 3 | 0 | 2-5 | 40% | 0-2 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 4 | F | Charlotte |\n| Spencer Hawes | 18 | 0 | 4 | 3 | 0-4 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 1 | 0 | 4 | 3 | N/A | Charlotte |\n| Brian Roberts | 6 | 0 | 1 | 0 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Charlotte |\n| Troy Daniels | 3 | 0 | 2 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Charlotte |\n| Frank Kaminsky | 5 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Charlotte |\n| Tyler Hansbrough | 3 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Charlotte |" + } + ] + }, + { + "id": "table_recognition_train_item_117719", + "image": "table_instructV/images/Rotowire_train_table_3202.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Mavericks | Dallas | 107 | 26 | 16 | 30 | 35 | 20 | 42 | 9 | 48 | 82 | 38 | 3 | 3 | | | | |\n| Pelicans | New Orleans | 98 | 21 | 27 | 22 | 28 | 21 | 42 | 12 | 45 | 85 | 32 | 0 | 6 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Mavericks | | | | | | | | | | | | | | | | | | |\n| Deron Williams | 30 | 19 | 3 | 2 | 6-13 | 46% | 3-5 | 60% | 4-4 | 100% | 2 | 2 | 0 | 0 | 3 | 3 | G | Dallas |\n| Dirk Nowitzki | 30 | 18 | 7 | 3 | 8-16 | 50% | 2-4 | 50% | 0-1 | 0% | 0 | 2 | 0 | 0 | 7 | 0 | F | Dallas |\n| Dwight Powell | 26 | 15 | 7 | 1 | 7-9 | 78% | 0-0 | 0% | 1-1 | 100% | 0 | 0 | 1 | 2 | 5 | 4 | N/A | Dallas |\n| J.J. Barea | 24 | 13 | 1 | 2 | 4-11 | 36% | 2-6 | 33% | 3-3 | 100% | 0 | 3 | 0 | 1 | 0 | 0 | N/A | Dallas |\n| Wesley Matthews | 29 | 13 | 2 | 2 | 4-10 | 40% | 2-5 | 40% | 3-3 | 100% | 0 | 0 | 0 | 0 | 2 | 2 | G | Dallas |\n| Zaza Pachulia | 28 | 9 | 14 | 1 | 3-7 | 43% | 0-0 | 0% | 3-4 | 75% | 1 | 0 | 0 | 3 | 11 | 1 | C | Dallas |\n| Chandler Parsons | 15 | 6 | 2 | 0 | 3-6 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 2 | F | Dallas |\n| Devin Harris | 24 | 6 | 2 | 6 | 2-5 | 40% | 0-2 | 0% | 2-3 | 67% | 2 | 1 | 0 | 0 | 2 | 3 | N/A | Dallas |\n| Raymond Felton | 18 | 5 | 1 | 3 | 2-5 | 40% | 0-1 | 0% | 1-1 | 100% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Dallas |\n| Jeremy Evans | 13 | 3 | 3 | 0 | 1-1 | 100% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 1 | 0 | 3 | 1 | N/A | Dallas |\n| Justin Anderson | 4 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Dallas |\n| Charlie Villanueva | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| John Jenkins | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| Pelicans | | | | | | | | | | | | | | | | | | |\n| Anthony Davis | 39 | 25 | 6 | 4 | 11-19 | 58% | 0-2 | 0% | 3-5 | 60% | 1 | 4 | 2 | 1 | 5 | 5 | F | New Orleans |\n| Eric Gordon | 41 | 21 | 5 | 4 | 7-15 | 47% | 5-10 | 50% | 2-2 | 100% | 1 | 2 | 0 | 0 | 5 | 3 | G | New Orleans |\n| Ryan Anderson | 35 | 21 | 9 | 1 | 8-15 | 53% | 1-5 | 20% | 4-4 | 100% | 0 | 2 | 1 | 2 | 7 | 2 | N/A | New Orleans |\n| Toney Douglas | 28 | 11 | 1 | 3 | 4-10 | 40% | 1-3 | 33% | 2-2 | 100% | 2 | 0 | 0 | 0 | 1 | 4 | N/A | New Orleans |\n| Alexis Ajinca | 16 | 8 | 6 | 0 | 4-5 | 80% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 3 | 3 | 1 | C | New Orleans |\n| Ish Smith | 33 | 7 | 7 | 7 | 3-14 | 21% | 1-3 | 33% | 0-0 | 0% | 2 | 2 | 1 | 0 | 7 | 2 | G | New Orleans |\n| Luke Babbitt | 19 | 3 | 2 | 1 | 1-3 | 33% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 1 | 0 | 2 | 5 | F | New Orleans |\n| Alonzo Gee | 9 | 2 | 1 | 0 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 1 | 0 | 1 | 1 | N/A | New Orleans |\n| Dante Cunningham | 19 | 0 | 5 | 1 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 4 | 1 | N/A | New Orleans |\n| Omer Asik | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| Jrue Holiday | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| Norris Cole | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |" + } + ] + }, + { + "id": "table_recognition_train_item_63546", + "image": "table_instructV/images/TabFact_2-16348031-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| rank | team | loss | sets won | sets lost | percentage |\n| --- | --- | --- | --- | --- | --- |\n| 1 | san sebastian college - recoletos | 1 | 27 | 3 | 90% |\n| 2 | adamson university | 1 | 27 | 6 | 81% |\n| 3 | lyceum of the philippines university | 3 | 16 | 22 | 42% |\n| 4 | ateneo de manila university | 4 | 16 | 23 | 41% |\n| 5 | far eastern university | 6 | 15 | 25 | 38% |\n| 6 | college of saint benilde | 10 | 4 | 30 | 12% |" + } + ] + }, + { + "id": "table_recognition_train_item_53850", + "image": "table_instructV/images/TabFact_2-12280777-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| 7:00 | 7:30 | 8:00 | 8:30 | 9:00 | 9:30 | 10:00 |\n| --- | --- | --- | --- | --- | --- | --- |\n| coronation street | fashion file | dragons' den | dragons' den | intelligence | intelligence | the national |\n| etalk | jeopardy! | dancing with the stars | dancing with the stars | dancing with the stars | corner gas | csi : miami |\n| et canada | entertainment tonight | prison break | prison break | heroes | heroes | journeyman |\n| wheel of fortune | e2 | grand star | the big bang theory | two and a half men | samantha who | monk |\n| friends | access hollywood | blood ties | blood ties | stargate sg - 1 | stargate sg - 1 | the bachelor |\n| the insider | e! news | deal or no deal | deal or no deal | k - ville | k - ville | rich kids |\n| virginie | rumeurs | l'auberge du chien noir | l'auberge du chien noir | les hauts et les bas de sophie paquin | les hauts et les bas de sophie paquin | le téléjournal |\n| occupation double | le cur a ses raisons | annie et ses hommes | annie et ses hommes | dr house | dr house | le tva 22 heures |\n| loft story | tac | csi : ny | csi : ny | bob gratton : ma vie | 3 x rien | le journal du soir |" + } + ] + }, + { + "id": "table_recognition_train_item_31213", + "image": "table_instructV/images/TABMWP_5307.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 5 | 20 |\n| 6 | 10 |\n| 7 | 0 |" + } + ] + }, + { + "id": "table_recognition_train_item_55556", + "image": "table_instructV/images/TabFact_2-10073937-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| source | date | donoghue (d) | eldridge (d) | finegold (d) | miceli (d) | tsongas (d) |\n| --- | --- | --- | --- | --- | --- | --- |\n| survey usa | aug 27 - 29 , 2007 | 29% | 15% | 9% | 3% | 40% |\n| survey usa | aug 11 - 13 , 2007 | 16% | 13% | 14% | 4% | 38% |\n| kiley & company | aug 8 - 9 , 2007 | 18% | 16% | 13% | 4% | 34% |\n| jef associates | aug 6 - 7 , 2007 | 22% | 7% | 8% | 4% | 28% |\n| kiley & company | jul 15 , 2007 | 13% | 12% | 10% | 4% | 36% |\n| jef associates | jun 28 - 30 , 2007 | 17% | 10% | 13% | 4% | 26% |\n| kiley & company | may 22 , 2007 | 9% | 10% | 11% | 3% | 38% |\n| garin - hart - yang research | may 3 - 4 , 2007 | 13% | 5% | 10% | 4% | 36% |\n| kiley & company | mar 23 - 24 , 2007 | 9% | 9% | 8% | 3% | 35% |" + } + ] + }, + { + "id": "table_recognition_train_item_58758", + "image": "table_instructV/images/TabFact_2-16193402-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| rider | manufacturer | laps | time | grid |\n| --- | --- | --- | --- | --- |\n| jorge lorenzo | yamaha | 28 | 45:53.089 | 1 |\n| dani pedrosa | honda | 28 | + 1.817 | 2 |\n| valentino rossi | yamaha | 28 | + 12.723 | 3 |\n| colin edwards | yamaha | 28 | + 17.223 | 5 |\n| john hopkins | kawasaki | 28 | + 23.752 | 10 |\n| casey stoner | ducati | 28 | + 26.688 | 9 |\n| james toseland | yamaha | 28 | + 32.631 | 6 |\n| chris vermeulen | suzuki | 28 | + 36.382 | 13 |\n| loris capirossi | suzuki | 28 | + 38.268 | 12 |\n| shinya nakano | honda | 28 | + 39.476 | 11 |\n| alex de angelis | honda | 28 | + 1:01.306 | 16 |\n| toni elias | ducati | 28 | + 1:03.867 | 14 |\n| marco melandri | ducati | 28 | + 1:09.525 | 17 |\n| sylvain guintoli | ducati | 28 | + 1:09.634 | 18 |\n| randy de puniet | honda | 28 | + 1:11.542 | 8 |\n| anthony west | kawasaki | 28 | + 1:23.629 | 15 |\n| nicky hayden | honda | 16 | accident | 4 |\n| andrea dovizioso | honda | 15 | accident | 7 |" + } + ] + }, + { + "id": "table_recognition_train_item_67906", + "image": "table_instructV/images/TabFact_2-15607819-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| sport | record | nation - athlete (s) | date | time (seconds) |\n| --- | --- | --- | --- | --- |\n| luge - men 's singles | start | johannes ludwig - germany | 24 january 2010 | 4.285 |\n| luge - men 's singles | track | albert demtschenko - russia | 24 january 2010 | 48.282 |\n| luge - women 's singles | start | tatjana hüfner - germany | 15 february 2008 | 1.799 |\n| luge - women 's singles | track | tatiana ivanova - russia | 23 january 2010 | 42.679 |\n| luge - men 's doubles | start | germany - patric leitner & alexander resch | 6 december 2008 | 1.698 |\n| luge - men 's doubles | track | austria - andreas linger & wolfgang linger | 23 january 2010 | 42.172 |" + } + ] + }, + { + "id": "table_recognition_train_item_54798", + "image": "table_instructV/images/TabFact_2-18956862-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| school | location | mascot | county | enrollment | ihsaa class | year joined | previous conference |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| borden | borden | braves | 228 | a | 10 clark | 1974 | lost river |\n| crothersville | crothersville | tigers | 180 | a | 36 jackson | 1974 | mid - hoosier |\n| henryville | henryville | hornets | 347 | aa | 10 clark | 1977 | lost river |\n| lanesville | lanesville | eagles | 237 | a | 31 harrison | 1979 | blue river |\n| new washington | new washington | mustangs | 273 | a | 10 clark | 1974 | dixie - monon |\n| south central (elizabeth) | elizabeth | rebels | 277 | a | 31 harrison | 1979 | blue river |" + } + ] + }, + { + "id": "table_recognition_train_item_106972", + "image": "table_instructV/images/ToTTo_train_table_29300.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Name | Image | Title | Start term | End term | House | Part | Note |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Luitpold | | Margrave of Bavaria | 895 | 907 | Luitpolding | | |\n| Arnulf the Bad | - | Duke of Bavaria | 907 | 920 | Luitpolding | | Son of Luitpold. Arnulf the Bad claimed the title of Duke — implying full autonomy — in 911, and was recognized as such by the German King Henry the Fowler, in 920. |\n| Eberhard | | Duke of Bavaria | 937 | 938 | Luitpolding | | |\n| Berthold | | Duke of Bavaria | 938 | 947 | Luitpolding | | Younger son of Luitpold. The German King Otto I reasserted central authority, banishing Arnulf's son Eberhard and re-granting the title to Berthold, a younger son of Luitpold. |\n| Henry I | Henry II | Duke of Bavaria | 947 | 955 | Ottonian | | Son of Henry the Fowler. On Berthold's death, Otto I, Holy Roman Emperor, gave the duchy to his own brother Henry (I), who was also Arnulf the Bad's son-in-law. |\n| Henry II the Quarrelsome | Henry II | Duke of Bavaria | 955 | 976 | Ottonian | | Henry II made war upon his cousin, Emperor Otto II, and was deprived of his duchy in 976 in favor of his cousin Otto, Duke of Swabia (who now acquired two dukedoms). |\n| Otto I | Otto I | Duke of Bavaria | 976 | 982 | Ottonian | | |\n| Henry III the Younger | | Duke of Bavaria | 983 | 985 | Luitpolding | | Bavaria was given to Berthold's son Henry III, briefly restoring the Luitpolding dynasty. Henry III exchanged Bavaria for Carinthia, and Henry II received Bavaria again. |\n| Henry II the Quarrelsome | Henry II | Duke of Bavaria | 985 | 995 | Ottonian | | Restored |\n| Henry IV | Henry IV | Duke of Bavaria | 995 | 1004 | Ottonian | | Son of Henry II the Quarrelsome. Henry IV was elected as Holy Roman Emperor Henry II, who gave Bavaria to his brother-in-law Henry V, Count of Luxemburg in 1004. |\n| Henry V | | Duke of Bavaria | 1004 | 1009 | Luxemburg | | Son of Siegfried of Luxembourg. |\n| Henry IV | - | Duke of Bavaria | 1009 | 1017 | Ottonian | | Henry IV reasserted direct control. |\n| Henry V | | Duke of Bavaria | 1017 | 1026 | Luxemburg | | Son of Siegfried of Luxembourg. Conrad II, Holy Roman Emperor, King of Germany, gave Bavaria to his son Henry VI after the death of Henry V in 1026. |\n| Henry VI the Black | Henry the Black | Duke of Bavaria | 1026 | 1042 | Salian | | Son of Conrad II, Holy Roman Emperor. Later Henry was elected as Holy Roman Emperor Henry III, and became King of Germany in 1039. |\n| Henry VII | Henry VII | Duke of Bavaria | 1042 | 1047 | Luxemburg | | Son of Frederick of Luxembourg. In 1042, Henry III, Holy Roman Emperor, granted the duchy to Henry VII, Count of Luxemburg, nephew of Henry V. |\n| Conrad I (Kuno) | | Duke of Bavaria | 1049 | 1053 | Ezzonen | | Son of Liudolf of Lotharingia. After Henry VII's death, the dukedom was vacant for a couple of years. |\n| Henry VIII | Henry IV | Duke of Bavaria | 1053 | 1054 | Salian | | Son of Henry III, Holy Roman Emperor. During his reign in Bavaria Henry VIII was a minor (born 1050). |\n| Conrad II | | Duke of Bavaria | 1054 | 1055 | Salian | | (minor, born 1052, died 1055) Son of Henry III, Holy Roman Emperor |\n| Henry VIII | Henry IV | Duke of Bavaria | 1055 | 1061 | Salian | | (minor: born 1050) Son of Henry III, Holy Roman Emperor. Henry VIII became King of Germany (1056) and Henry IV, Holy Roman Emperor in 1084. |\n| Otto II | | Duke of Bavaria | 1061 | 1070 | Nordheim | | In 1061 Empress Agnes — the 11-year-old King Henry IV's mother and regent — entrusted the duchy to Otto of Nordheim. |\n| Welf I | Welf I | Duke of Bavaria | 1070 | 1077 | Welf | | Welf I subsequently quarreled with Henry IV, Holy Roman Emperor and was deprived of his duchy for nineteen years, during which it was directly administered by the German crown. |\n| Henry VIII | Henry IV | Duke of Bavaria | 1077 | 1096 | Salian | | (minor: born 1050) Son of Henry III, Holy Roman Emperor. Henry VIII became King of Germany (1056) and Henry IV, Holy Roman Emperor in 1084. |\n| Welf I | Welf I | Duke of Bavaria | 1096 | 1101 | Welf | | Welf I recovered the duchy in 1096. |\n| Welf II | Welf II | Duke of Bavaria | 1101 | 1120 | Welf | | Son of Welf I |\n| Henry IX the Black | Henry IX | Duke of Bavaria | 1120 | 1126 | Welf | | Son of Welf I. Abdicated. |\n| Henry X the Proud | Henry IX | Duke of Bavaria | 1126 | 1138 | Welf | | Son of Henry IX the Black. In a power struggle with King Conrad III of Germany, Henry X lost his duchy to the King, who granted it to his follower Leopold Margrave of Austria. |\n| Leopold I | Leopold IV | Duke of Bavaria | 1139 | 1141 | Babenberg | | When Leopold died, Conrad III of Germany resumed the duchy and granted it to Leopold's brother Henry XI. |\n| Henry XI Jasomirgott | Henry XI | Duke of Bavaria | 1143 | 1156 | Babenberg | | Brother of Leopold. |\n| Henry XII the Lion | Henry XII | Duke of Bavaria | 1156 | 1180 | Welf | | When Frederick I, Holy Roman Emperor, became king of Germany, he restored Bavaria to the Welf line in the person of Henry X's son, Henry XII the Lion, Duke of Saxony. |" + } + ] + }, + { + "id": "table_recognition_train_item_59444", + "image": "table_instructV/images/TabFact_2-1128817-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| year | award | category | nominated work | result |\n| --- | --- | --- | --- | --- |\n| 1999 | sbs drama awards | best new actress | happy together | won |\n| 1999 | baeksang arts awards | best new actress | white valentine | won |\n| 2002 | grand bell awards | popularity award | my sassy girl | won |\n| 2002 | grand bell awards | best actress | my sassy girl | won |\n| 2013 | asian film awards | best supporting actress | the thieves | nominated |\n| 2013 | baeksang arts awards | best supporting actress | the thieves | nominated |\n| 2013 | puchon international fantastic film festival | producer 's choice award | the thieves , the berlin file | won |\n| 2013 | mnet 20 's choice awards | 20 's movie star - female | the berlin file | nominated |" + } + ] + }, + { + "id": "table_recognition_train_item_113563", + "image": "table_instructV/images/Rotowire_train_table_1124.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Thunder | Oklahoma City | 109 | 30 | 22 | 36 | 21 | 28 | 51 | 20 | 47 | 73 | 38 | 32 | 12 | | | | |\n| Hornets | Charlotte | 95 | 22 | 23 | 25 | 25 | 17 | 34 | 16 | 42 | 86 | 33 | 19 | 23 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Kevin Durant | 30 | 26 | 5 | 5 | 9-20 | 45% | 1-5 | 20% | 7-10 | 70% | 0 | 3 | 0 | 0 | 5 | 1 | F | Oklahoma City |\n| Russell Westbrook | 27 | 16 | 8 | 15 | 5-14 | 36% | 0-3 | 0% | 6-7 | 86% | 5 | 5 | 0 | 1 | 7 | 2 | G | Oklahoma City |\n| Enes Kanter | 22 | 12 | 6 | 0 | 3-7 | 43% | 1-1 | 100% | 5-6 | 83% | 1 | 3 | 1 | 5 | 1 | 0 | N/A | Oklahoma City |\n| Kyle Singler | 21 | 11 | 2 | 0 | 4-4 | 100% | 3-3 | 100% | 0-0 | 0% | 1 | 0 | 0 | 0 | 2 | 2 | N/A | Oklahoma City |\n| Serge Ibaka | 38 | 11 | 8 | 1 | 5-9 | 56% | 1-4 | 25% | 0-0 | 0% | 0 | 1 | 0 | 3 | 5 | 4 | F | Oklahoma City |\n| Steven Adams | 28 | 10 | 10 | 0 | 3-5 | 60% | 0-0 | 0% | 4-6 | 67% | 0 | 3 | 1 | 3 | 7 | 4 | C | Oklahoma City |\n| Andre Roberson | 20 | 7 | 3 | 1 | 3-4 | 75% | 1-1 | 100% | 0-0 | 0% | 1 | 0 | 0 | 1 | 2 | 0 | G | Oklahoma City |\n| Cameron Payne | 23 | 7 | 5 | 3 | 3-8 | 38% | 1-3 | 33% | 0-1 | 0% | 0 | 1 | 0 | 0 | 5 | 0 | N/A | Oklahoma City |\n| Dion Waiters | 28 | 5 | 3 | 3 | 2-9 | 22% | 1-3 | 33% | 0-0 | 0% | 1 | 4 | 0 | 0 | 3 | 3 | N/A | Oklahoma City |\n| Mitch McGary | 3 | 4 | 1 | 0 | 2-3 | 67% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 0 | 0 | N/A | Oklahoma City |\n| Nick Collison | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Anthony Morrow | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| D.J. Augustin | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Kemba Walker | 30 | 21 | 2 | 2 | 8-15 | 53% | 2-4 | 50% | 3-3 | 100% | 2 | 3 | 0 | 0 | 2 | 2 | G | Charlotte |\n| Jeremy Lin | 28 | 16 | 1 | 2 | 6-11 | 55% | 0-1 | 0% | 4-4 | 100% | 0 | 2 | 0 | 0 | 1 | 4 | N/A | Charlotte |\n| Frank Kaminsky | 31 | 15 | 6 | 4 | 6-12 | 50% | 2-4 | 50% | 1-2 | 50% | 0 | 0 | 1 | 1 | 5 | 2 | N/A | Charlotte |\n| PJ Hairston | 22 | 11 | 2 | 0 | 5-11 | 46% | 1-4 | 25% | 0-0 | 0% | 2 | 1 | 0 | 0 | 2 | 3 | F | Charlotte |\n| Troy Daniels | 17 | 11 | 2 | 0 | 4-7 | 57% | 3-5 | 60% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | Charlotte |\n| Brian Roberts | 12 | 9 | 0 | 2 | 2-4 | 50% | 1-2 | 50% | 4-4 | 100% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Charlotte |\n| Spencer Hawes | 27 | 6 | 6 | 3 | 2-8 | 25% | 0-2 | 0% | 2-2 | 100% | 0 | 1 | 0 | 1 | 5 | 1 | N/A | Charlotte |\n| Marvin Williams | 24 | 3 | 3 | 1 | 1-4 | 25% | 0-2 | 0% | 1-2 | 50% | 1 | 1 | 1 | 0 | 3 | 0 | F | Charlotte |\n| Cody Zeller | 14 | 3 | 2 | 0 | 0-3 | 0% | 0-0 | 0% | 3-4 | 75% | 1 | 1 | 0 | 1 | 1 | 4 | C | Charlotte |\n| Nicolas Batum | 24 | 0 | 6 | 3 | 0-4 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 3 | 0 | 0 | 6 | 1 | G | Charlotte |\n| Aaron Harrison | 3 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 0 | N/A | Charlotte |\n| Tyler Hansbrough | 7 | 0 | 3 | 0 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 3 | 0 | 3 | 0 | 2 | N/A | Charlotte |\n| Jeremy Lamb | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |" + } + ] + }, + { + "id": "table_recognition_train_item_106052", + "image": "table_instructV/images/ToTTo_train_table_25409.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Country | Period | Real GDP per Person at Beginning of Period | Real GDP per Person at End of Period | Annualized Growth Rate |\n| --- | --- | --- | --- | --- |\n| Japan | 1890-2008 | $1,504 | $35,220 | 2.71% |\n| Brazil | 1900-2008 | $779 | $10,070 | 2.40% |\n| Mexico | 1900-2008 | $1,159 | $14,270 | 2.35% |\n| Germany | 1870-2008 | $2,184 | $35,940 | 2.05% |\n| Canada | 1870-2008 | $2,375 | $36,220 | 1.99% |\n| China | 1900-2008 | $716 | $6,020 | 1.99% |\n| United States | 1870-2008 | $4,007 | $46,970 | 1.80% |\n| Argentina | 1900-2008 | $2,293 | $14,020 | 1.69% |\n| United Kingdom | 1870-2008 | $4,808 | $36,130 | 1.47% |\n| India | 1900-2008 | $675 | $2,960 | 1.38% |\n| Indonesia | 1900-2008 | $891 | $3,830 | 1.36% |\n| Pakistan | 1900-2008 | $737 | $2,700 | 1.21% |\n| Bangladesh | 1900-2008 | $623 | $1,440 | 0.78% |" + } + ] + }, + { + "id": "table_recognition_train_item_113297", + "image": "table_instructV/images/Rotowire_train_table_991.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hornets | Charlotte | 102 | 33 | 23 | 17 | 29 | 21 | 55 | 9 | 42 | 71 | 41 | 32 | 42 | | | | |\n| Pistons | Detroit | 78 | 25 | 20 | 17 | 16 | 24 | 51 | 12 | 35 | 61 | 23 | 29 | 46 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Marvin Williams | 29 | 18 | 6 | 1 | 7-11 | 64% | 3-6 | 50% | 1-2 | 50% | 1 | 1 | 1 | 2 | 4 | 1 | F | Charlotte |\n| Kemba Walker | 33 | 17 | 6 | 4 | 7-13 | 54% | 2-2 | 100% | 1-1 | 100% | 3 | 1 | 0 | 0 | 6 | 2 | G | Charlotte |\n| Gerald Henderson | 31 | 14 | 5 | 1 | 5-11 | 46% | 1-3 | 33% | 3-3 | 100% | 2 | 0 | 0 | 0 | 5 | 0 | G | Charlotte |\n| Mo Williams | 25 | 13 | 2 | 6 | 6-16 | 38% | 1-4 | 25% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 4 | N/A | Charlotte |\n| PJ Hairston | 23 | 12 | 3 | 1 | 3-10 | 30% | 1-4 | 25% | 5-6 | 83% | 1 | 1 | 0 | 1 | 2 | 0 | N/A | Charlotte |\n| Al Jefferson | 26 | 11 | 9 | 3 | 4-12 | 33% | 0-0 | 0% | 3-6 | 50% | 0 | 2 | 4 | 1 | 8 | 3 | C | Charlotte |\n| Bismack Biyombo | 22 | 8 | 10 | 1 | 2-4 | 50% | 0-0 | 0% | 4-6 | 67% | 1 | 1 | 2 | 6 | 4 | 2 | N/A | Charlotte |\n| Troy Daniels | 2 | 5 | 0 | 0 | 2-2 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Charlotte |\n| Brian Roberts | 9 | 2 | 2 | 2 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Charlotte |\n| Jeff Taylor | 22 | 2 | 4 | 2 | 1-4 | 25% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 1 | 3 | 2 | F | Charlotte |\n| Jason Maxiell | 17 | 0 | 8 | 0 | 0-3 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 2 | 6 | 1 | N/A | Charlotte |\n| Noah Vonleh | 2 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Charlotte |\n| Lance Stephenson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Pistons | | | | | | | | | | | | | | | | | | |\n| Jodie Meeks | 34 | 15 | 5 | 0 | 6-13 | 46% | 1-4 | 25% | 2-2 | 100% | 0 | 1 | 0 | 1 | 4 | 2 | N/A | Detroit |\n| Andre Drummond | 28 | 13 | 9 | 0 | 6-15 | 40% | 0-0 | 0% | 1-7 | 14% | 2 | 1 | 0 | 2 | 7 | 4 | C | Detroit |\n| Anthony Tolliver | 31 | 10 | 8 | 4 | 4-8 | 50% | 2-5 | 40% | 0-0 | 0% | 1 | 2 | 0 | 3 | 5 | 1 | F | Detroit |\n| Reggie Jackson | 29 | 9 | 7 | 8 | 3-16 | 19% | 1-4 | 25% | 2-3 | 67% | 0 | 3 | 0 | 2 | 5 | 3 | G | Detroit |\n| Joel Anthony | 20 | 6 | 7 | 0 | 2-3 | 67% | 0-0 | 0% | 2-2 | 100% | 2 | 0 | 4 | 2 | 5 | 2 | N/A | Detroit |\n| John Lucas III | 19 | 6 | 1 | 4 | 2-8 | 25% | 0-2 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Detroit |\n| Shawne Williams | 13 | 6 | 4 | 1 | 2-4 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 2 | 0 | 1 | 3 | 1 | N/A | Detroit |\n| Caron Butler | 27 | 5 | 3 | 3 | 2-6 | 33% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 1 | F | Detroit |\n| Tayshaun Prince | 21 | 4 | 7 | 2 | 2-7 | 29% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 3 | 4 | 2 | N/A | Detroit |\n| Kentavious Caldwell-Pope | 14 | 2 | 0 | 1 | 1-6 | 17% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 4 | G | Detroit |\n| Cartier Martin | 2 | 2 | 0 | 0 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Detroit |\n| Quincy Miller | 2 | 0 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Detroit |\n| Spencer Dinwiddie | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |" + } + ] + }, + { + "id": "table_recognition_train_item_113275", + "image": "table_instructV/images/Rotowire_train_table_980.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Cavaliers | Cleveland | 125 | 27 | 37 | 32 | 29 | 24 | 38 | 17 | 52 | 81 | 50 | 17 | 10 | | | | |\n| Timberwolves | Minnesota | 104 | 26 | 30 | 23 | 25 | 25 | 40 | 18 | 44 | 76 | 31 | 5 | 22 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Cavaliers | | | | | | | | | | | | | | | | | | |\n| Kyrie Irving | 37 | 29 | 0 | 4 | 12-19 | 63% | 2-4 | 50% | 3-3 | 100% | 3 | 6 | 0 | 0 | 0 | 4 | G | Cleveland |\n| LeBron James | 35 | 24 | 4 | 3 | 8-16 | 50% | 4-7 | 57% | 4-5 | 80% | 1 | 2 | 3 | 0 | 4 | 3 | F | Cleveland |\n| Kevin Love | 36 | 20 | 10 | 4 | 5-11 | 46% | 1-2 | 50% | 9-11 | 82% | 0 | 2 | 0 | 3 | 7 | 2 | F | Cleveland |\n| Dion Waiters | 27 | 19 | 2 | 4 | 5-12 | 42% | 2-4 | 50% | 7-8 | 88% | 3 | 4 | 0 | 0 | 2 | 2 | N/A | Cleveland |\n| Shawn Marion | 26 | 11 | 4 | 2 | 5-7 | 71% | 0-0 | 0% | 1-2 | 50% | 1 | 0 | 3 | 1 | 3 | 2 | N/A | Cleveland |\n| Anderson Varejao | 17 | 6 | 6 | 1 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 4 | 2 | 2 | C | Cleveland |\n| Tristan Thompson | 27 | 5 | 9 | 0 | 2-4 | 50% | 0-0 | 0% | 1-2 | 50% | 1 | 1 | 0 | 3 | 6 | 0 | N/A | Cleveland |\n| James Jones | 4 | 3 | 1 | 2 | 1-2 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Cleveland |\n| Joe Harris | 3 | 3 | 0 | 0 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Cleveland |\n| Matthew Dellavedova | 13 | 3 | 1 | 3 | 1-5 | 20% | 1-3 | 33% | 0-0 | 0% | 1 | 1 | 0 | 1 | 0 | 3 | N/A | Cleveland |\n| Brendan Haywood | 4 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Cleveland |\n| A.J. Price | 3 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Cleveland |\n| Mike Miller | 8 | 0 | 0 | 1 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 3 | G | Cleveland |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Andrew Wiggins | 37 | 27 | 2 | 2 | 9-16 | 56% | 3-3 | 100% | 6-8 | 75% | 1 | 3 | 1 | 1 | 1 | 1 | G | Minnesota |\n| Gorgui Dieng | 36 | 20 | 11 | 2 | 6-10 | 60% | 0-0 | 0% | 8-8 | 100% | 3 | 2 | 4 | 3 | 8 | 3 | C | Minnesota |\n| Shabazz Muhammad | 33 | 18 | 6 | 2 | 7-17 | 41% | 0-2 | 0% | 4-6 | 67% | 1 | 1 | 1 | 5 | 1 | 3 | F | Minnesota |\n| Thaddeus Young | 32 | 13 | 6 | 2 | 6-18 | 33% | 0-0 | 0% | 1-2 | 50% | 3 | 2 | 2 | 4 | 2 | 1 | F | Minnesota |\n| Chase Budinger | 18 | 7 | 5 | 1 | 2-4 | 50% | 1-2 | 50% | 2-2 | 100% | 0 | 2 | 0 | 0 | 5 | 4 | N/A | Minnesota |\n| Zach LaVine | 26 | 6 | 1 | 6 | 3-6 | 50% | 0-1 | 0% | 0-1 | 0% | 4 | 3 | 0 | 0 | 1 | 4 | G | Minnesota |\n| Mo Williams | 22 | 6 | 2 | 7 | 3-8 | 38% | 0-4 | 0% | 0-0 | 0% | 1 | 2 | 1 | 0 | 2 | 0 | N/A | Minnesota |\n| Robbie Hummel | 5 | 4 | 1 | 1 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Minnesota |\n| Jeff Adrien | 12 | 2 | 3 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 2 | 1 | 2 | N/A | Minnesota |\n| Glenn Robinson | 4 | 1 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Minnesota |\n| Anthony Bennett | 12 | 0 | 3 | 1 | 0-4 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 2 | 5 | N/A | Minnesota |\n| Troy Daniels | 5 | 0 | 0 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Minnesota |" + } + ] + }, + { + "id": "table_recognition_train_item_34505", + "image": "table_instructV/images/TABMWP_5101.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Month | Change in water level (in.) |\n| --- | --- |\n| April | -6 |\n| May | 4 |" + } + ] + }, + { + "id": "table_recognition_train_item_32069", + "image": "table_instructV/images/TABMWP_14015.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| | Big | Small |\n| --- | --- | --- |\n| Red | 4 | 1 |\n| Green | 5 | 1 |" + } + ] + }, + { + "id": "table_recognition_train_item_53934", + "image": "table_instructV/images/TabFact_2-15252-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| island | gaelic name | location | area ( ha ) | population | last inhabited | height (m) |\n| --- | --- | --- | --- | --- | --- | --- |\n| ailsa craig | creag ealasaid | south ayrshire | 99 | 0 | 1980s | 338 |\n| arran | arainn | arran | 43201 | 4629 | - | 874 |\n| bute | bòid | bute | 12217 | 6498 | - | 278 |\n| davaar | eilean dà bhàrr | kintyre | 52 | 0 | - | 115 |\n| great cumbrae | cumaradh mòr | bute | 1168 | 1376 | - | 127 |\n| holy isle | eilean mo laise | arran | 253 | 31 | - | 314 |\n| inchmarnock | innis mheàrnaig | bute | 253 | 0 | 1980s | 60 |\n| little cumbrae | cumaradh beag | bute | 313 | 0 | 1990s | 123 |\n| sanda | àbhainn | kintyre | 127 | 0 | - | 123 |" + } + ] + }, + { + "id": "table_recognition_train_item_115789", + "image": "table_instructV/images/Rotowire_train_table_2237.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bucks | Milwaukee | 103 | 23 | 23 | 26 | 31 | 23 | 32 | 10 | 45 | 89 | 32 | 10 | 8 | | | | |\n| Rockets | Houston | 117 | 28 | 25 | 32 | 32 | 26 | 44 | 13 | 51 | 88 | 40 | 13 | 4 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Bucks | | | | | | | | | | | | | | | | | | |\n| Jabari Parker | 32 | 19 | 9 | 5 | 3-7 | 43% | 0-0 | 0% | 13-14 | 93% | 2 | 4 | 0 | 3 | 6 | 0 | F | Milwaukee |\n| Ersan Ilyasova | 24 | 18 | 2 | 1 | 7-14 | 50% | 2-5 | 40% | 2-2 | 100% | 0 | 1 | 0 | 1 | 1 | 2 | N/A | Milwaukee |\n| Giannis Antetokounmpo | 35 | 17 | 7 | 2 | 7-12 | 58% | 0-1 | 0% | 3-3 | 100% | 0 | 0 | 2 | 2 | 5 | 3 | F | Milwaukee |\n| Brandon Knight | 29 | 12 | 1 | 2 | 4-8 | 50% | 2-2 | 100% | 2-2 | 100% | 2 | 0 | 0 | 0 | 1 | 0 | G | Milwaukee |\n| Larry Sanders | 24 | 11 | 5 | 1 | 3-3 | 100% | 0-0 | 0% | 5-8 | 63% | 0 | 1 | 3 | 0 | 5 | 3 | C | Milwaukee |\n| Khris Middleton | 20 | 11 | 2 | 3 | 3-5 | 60% | 1-1 | 100% | 4-4 | 100% | 2 | 0 | 0 | 1 | 1 | 2 | N/A | Milwaukee |\n| O.J. Mayo | 22 | 6 | 2 | 1 | 2-10 | 20% | 0-3 | 0% | 2-2 | 100% | 0 | 0 | 0 | 1 | 1 | 2 | G | Milwaukee |\n| Jared Dudley | 14 | 5 | 3 | 1 | 2-4 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 0 | N/A | Milwaukee |\n| Jerryd Bayless | 21 | 4 | 1 | 3 | 2-8 | 25% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 4 | N/A | Milwaukee |\n| Kendall Marshall | 19 | 0 | 0 | 4 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 1 | 3 | 0 | 0 | 0 | 0 | N/A | Milwaukee |\n| Nate Wolters | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| John Henson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Zaza Pachulia | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Rockets | | | | | | | | | | | | | | | | | | |\n| James Harden | 38 | 34 | 6 | 7 | 9-14 | 64% | 4-5 | 80% | 12-13 | 92% | 4 | 5 | 1 | 2 | 4 | 4 | G | Houston |\n| Donatas Motiejunas | 31 | 20 | 6 | 5 | 9-13 | 69% | 0-1 | 0% | 2-3 | 67% | 0 | 0 | 0 | 2 | 4 | 3 | F | Houston |\n| Jason Terry | 35 | 18 | 6 | 5 | 7-15 | 47% | 4-8 | 50% | 0-0 | 0% | 0 | 0 | 0 | 2 | 4 | 2 | G | Houston |\n| Trevor Ariza | 41 | 14 | 10 | 3 | 5-18 | 28% | 4-12 | 33% | 0-0 | 0% | 2 | 3 | 0 | 1 | 9 | 4 | F | Houston |\n| Kostas Papanikolaou | 29 | 12 | 3 | 4 | 5-6 | 83% | 2-2 | 100% | 0-0 | 0% | 1 | 1 | 0 | 1 | 2 | 4 | N/A | Houston |\n| Tarik Black | 21 | 8 | 5 | 1 | 4-6 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 3 | 2 | 3 | C | Houston |\n| Joey Dorsey | 13 | 4 | 5 | 0 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 3 | 2 | 3 | 3 | N/A | Houston |\n| Troy Daniels | 2 | 3 | 0 | 0 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Houston |\n| Nick Johnson | 13 | 2 | 1 | 0 | 1-5 | 20% | 0-3 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 1 | N/A | Houston |\n| Francisco Garcia | 18 | 2 | 2 | 1 | 1-7 | 14% | 0-6 | 0% | 0-0 | 0% | 0 | 1 | 1 | 0 | 2 | 0 | N/A | Houston |\n| Dwight Howard | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Isaiah Canaan | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |" + } + ] + }, + { + "id": "table_recognition_train_item_57544", + "image": "table_instructV/images/TabFact_2-10887379-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| home team | home team score | away team | away team score | venue | crowd | date |\n| --- | --- | --- | --- | --- | --- | --- |\n| melbourne | 14.18 (102) | north melbourne | 16.9 (105) | mcg | 19543 | 16 april 1977 |\n| geelong | 6.14 (50) | hawthorn | 15.15 (105) | kardinia park | 19336 | 16 april 1977 |\n| collingwood | 24.22 (166) | essendon | 16.19 (115) | victoria park | 26210 | 16 april 1977 |\n| carlton | 24.26 (170) | st kilda | 9.9 (63) | princes park | 19336 | 16 april 1977 |\n| south melbourne | 11.13 (79) | richmond | 13.13 (91) | lake oval | 25768 | 16 april 1977 |\n| footscray | 20.16 (136) | fitzroy | 16.12 (108) | vfl park | 17415 | 16 april 1977 |" + } + ] + }, + { + "id": "table_instructV_multi_round_7", + "image": "table_instructV/images/TabFact_2-1123421-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| driver | constructor | laps | time / retired | grid |\n| --- | --- | --- | --- | --- |\n| ralf schumacher | williams - bmw | 69 | 1:34:31.522 | 2 |\n| michael schumacher | ferrari | 69 | + 20.235 | 1 |\n| mika häkkinen | mclaren - mercedes | 69 | + 40.672 | 8 |\n| kimi räikkönen | sauber - petronas | 69 | + 1:08.116 | 7 |\n| jean alesi | prost - acer | 69 | + 1:10.435 | 16 |\n| pedro de la rosa | jaguar - cosworth | 68 | + 1 lap | 14 |\n| ricardo zonta | jordan - honda | 68 | + 1 lap | 12 |\n| luciano burti | prost - acer | 68 | + 1 lap | 19 |\n| tarso marques | minardi - european | 66 | + 3 laps | 21 |\n| jos verstappen | arrows - asiatech | 65 | brakes | 13 |\n| jarno trulli | jordan - honda | 63 | brakes | 4 |\n| david coulthard | mclaren - mercedes | 54 | engine | 3 |\n| olivier panis | bar - honda | 38 | brakes | 6 |\n| jacques villeneuve | bar - honda | 34 | driveshaft | 9 |\n| enrique bernoldi | arrows - asiatech | 24 | engine | 17 |\n| juan pablo montoya | williams - bmw | 19 | accident | 10 |\n| rubens barrichello | ferrari | 19 | spun off | 5 |\n| jenson button | benetton - renault | 17 | oil leak | 20 |\n| fernando alonso | minardi - european | 7 | transmission | 22 |\n| nick heidfeld | sauber - petronas | 1 | collision | 11 |\n| eddie irvine | jaguar - cosworth | 1 | collision | 15 |\n| giancarlo fisichella | benetton - renault | 0 | collision | 18 |" + }, + { + "from": "human", + "value": "Examine the table image with the title '2001 canadian grand prix', classify whether the claim is entailed or refuted based on the table's content and title. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nclaim: during the race four drivers were involved in a collision or accident" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the claim is valid. Hence, the answer is {\"answer\": \"entailed\"}." + }, + { + "from": "human", + "value": "Give you a table titled '2001 canadian grand prix' and a sentence which is 'during the race ten drivers were involved in a collision or accident', select the correct relation between the table and the sentence based on the table information. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\n\n(A) affirms (the sentence is true)\n(B) disputes (the sentence is false)" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table disputes the validity of the sentence. Therefore, the final answer: {\"answer\": \"disputes\"}." + }, + { + "from": "human", + "value": "Determine the relationship between the table and the statement, classify it as confirmed or disputed. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nTable title: 2001 canadian grand prix\nstatement: michael schumacher was 1st in the grid and finished in second" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the statement is true. So, the answer is {\"answer\": \"confirmed\"}." + }, + { + "from": "human", + "value": "Examine the table titled '2001 canadian grand prix' and judge whether the table substantiates or disputes the following hypothesis. Output the final answer as JSON in the format {\"answer\": \"\"}.\nat the end of the race jenson button was 3 laps behind" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the hypothesis is false. Consequently, the answer is {\"answer\": \"disputes\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_106", + "image": "table_instructV/images/TABMWP_5757.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 4 | 20 |\n| 5 | 17 |\n| 6 | 14 |" + }, + { + "from": "human", + "value": "Based on the table, solve the following math problem step by step. In the end, output your final answer using the JSON format: {\"answer\": \"\"}.\nThe table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear" + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{17 - 20}{5 - 4}\n = \\frac{-3}{1}\n = -3\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the first row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{14 - 20}{6 - 4}\n = \\frac{-6}{2}\n = -3\nThe two rates of change are the same.\n3.\nThis means the rate of change is the same for each pair of points. So, the function has a constant rate of change.\nThe function is linear.\n\nThus, the final answer is {\"answer\": \"linear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_346", + "image": "table_instructV/images/ToTTo_train_table_24949.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| # | Event Title | Date | Arena | Location |\n| --- | --- | --- | --- | --- |\n| 55 | Rings: King of Kings 2000 Block B | December 22, 2000 | Osaka Prefecture Gymnasium | Osaka, Japan |\n| 54 | Rings Australia: Free Fight Battle | November 12, 2000 | Alexandra Hills Hotel | Brisbane, Australia |\n| 53 | Rings Lithuania: Bushido Rings 1 | October 24, 2000 | Vilnius Palace of Concerts and Sports | Vilnius, Lithuania |\n| 52 | Rings: King of Kings 2000 Block A | October 9, 2000 | Yoyogi National Stadium Gym 2 | Tokyo, Japan |\n| 51 | Rings USA: Rising Stars Final | September 30, 2000 | The Mark of the Quad Cities | Moline, Illinois |\n| 50 | Rings: Battle Genesis Vol. 6 | September 5, 2000 | Korakuen Hall | Tokyo, Japan |\n| 49 | Rings: Millennium Combine 3 | August 23, 2000 | Osaka Prefecture Gymnasium | |\n| 48 | Rings: Russia vs. Georgia | August 16, 2000 | Tula Circus | Tula, Russia |\n| 47 | Rings USA: Rising Stars Block B | July 22, 2000 | Neal S. Blaisdell Center | Honolulu, Hawaii |\n| 46 | Rings USA: Rising Stars Block A | July 15, 2000 | McKay-Dee Hospital Center | Orem, Utah |\n| 45 | Rings: Millennium Combine 2 | June 15, 2000 | Yoyogi National Stadium Gym 2 | Tokyo, Japan |\n| 44 | Rings Holland: Di Capo Di Tutti Capi | June 4, 2000 | Vechtsebanen Sport Hall | Utrecht, Netherlands |\n| 43 | Rings Russia: Russia vs. Bulgaria | May 21, 2000 | | Tula, Russia |\n| 42 | Rings Russia: Russia vs. The World | May 20, 2000 | Yekaterinburg Sports Palace | Yekaterinburg, Sverdlovsk Oblast, Russia |\n| 41 | Rings: Millennium Combine 1 | April 20, 2000 | Yoyogi National Stadium Gym 2 | Tokyo, Japan |\n| 40 | Rings Australia: NR 4 | March 19, 2000 | Alexandra Hills Hotel | Brisbane, Australia |\n| 39 | Rings: King of Kings 1999 Final | February 26, 2000 | Nippon Budokan | Tokyo, Japan |\n| 38 | Rings Holland: There Can Only Be One Champion | February 6, 2000 | Vechtsebanen Sport Hall | Utrecht, Netherlands |" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table and its metadata. You are required to generate a one-sentence description of highlighted table cells. \nTable title: 2000 in Fighting Network Rings\nSection title: Events list" + }, + { + "from": "gpt", + "value": "Rings Australia: Free Fight Battle was an event held on November 12, 2000 at The Alexandra Hills Hotel in Brisbane, Australia." + } + ] + }, + { + "id": "table_instructV_multi_round_416", + "image": "table_instructV/images/TabFact_2-1359996-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| season | network | time slot | season premiere | season finale | episode count | tv season | season rank | viewers (in millions) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | nbc | monday 10:00 pm | january 3 , 2005 | may 23 , 2005 | 16 | 2004 - 2005 | 19 | 13.9 |\n| 2 | nbc | monday 10:00 pm | september 19 , 2005 | may 22 , 2006 | 22 | 2005 - 2006 | 31 | 11.2 |\n| 3 | nbc | wednesday 10:00 pm | november 15 , 2006 | may 16 , 2007 | 22 | 2006 - 2007 | 51 | 8.3 |\n| 4 | nbc | monday 10:00 pm | january 7 , 2008 | may 12 , 2008 | 16 | 2007 - 2008 | 41 | 10.47 |\n| 5 | nbc | monday 10:00 pm | february 2 , 2009 | june 1 , 2009 | 19 | 2008 - 2009 | 61 | 8.45 |\n| 6 | cbs | friday 9:00 pm | september 25 , 2009 | may 21 , 2010 | 22 | 2009 - 2010 | 53 | 7.79 |\n| 7 | cbs | friday 8:00 pm | september 24 , 2010 | january 21 , 2011 | 13 | 2010 - 2011 | 57 | 7.8 |" + }, + { + "from": "human", + "value": "Examine the table titled 'medium (tv series)' and judge whether the table affirms or refutes the following claim. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nthe viewers (in millions) for season 4 was lower than the viewers (in millions) for season 3" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it refutes the claim. So, the answer is {\"answer\": \"refutes\"}." + }, + { + "from": "human", + "value": "In this task, you are given a table with its title 'medium (tv series)', your goal is to distinguish whether this table affirms or contradicts the hypothesis. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nthe difference in viewers (in millions) for season 7 , cbs network , and season 6 , cbs network , was 0.01" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it affirms the hypothesis. So, the answer is {\"answer\": \"affirms\"}." + }, + { + "from": "human", + "value": "Analyze the table picture about 'medium (tv series)' and classify whether the next claim is entailed or challenged by the table. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\n\nthe season 7 cbs network episode count was 2 less than the season 1 nbc episode count" + }, + { + "from": "gpt", + "value": "Based on the table information, the claim is not true. Thus, the answer is {\"answer\": \"challenged\"}." + }, + { + "from": "human", + "value": "Examine the table with the caption 'medium (tv series)', classify whether the provided table confirms or refutes the sentence. Show your final answer in the JSON format {\"answer\": \"\"}.\nsentence: the season with the highest number of episodes was tied between three seasons , 2 , 3 , and 6 , with 22 episodes each" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it confirms the sentence. So, the answer is {\"answer\": \"confirms\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_417", + "image": "table_instructV/images/TABMWP_30764.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 3 | 0 |\n| 17 | 13 |\n| 9 | 6 |" + }, + { + "from": "human", + "value": "Look at this table. Is this relation a function? (A) yes (B) no\n\nSolve the above problem using the table information. Conclude your response with a final answer in the JSON format {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "Look at the x-values in the table.\n\nEach of the x-values is paired with only one y-value, so the relation is a function.\n\nTherefore, the final answer is {\"answer\": \"yes\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_438", + "image": "table_instructV/images/TABMWP_28269.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 5 | 18 |\n| 6 | 16 |\n| 7 | 14 |" + }, + { + "from": "human", + "value": "View the table, then figure out the solution to this math problem. Present the final answer in a JSON format, outlined as {\"answer\": \"\"}.\nProblem: The table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear\nYour solution:" + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{16 - 18}{6 - 5}\n = \\frac{-2}{1}\n = -2\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the second row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{14 - 16}{7 - 6}\n = \\frac{-2}{1}\n = -2\nThe two rates of change are the same.\n2.\nThis means the rate of change is the same for each pair of points. So, the function has a constant rate of change.\nThe function is linear.\n\nTherefore, the final answer is {\"answer\": \"linear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_472", + "image": "table_instructV/images/TabFact_2-1123529-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| driver | constructor | laps | time / retired | grid |\n| --- | --- | --- | --- | --- |\n| michael schumacher | ferrari | 70 | 1:31:13.591 | 3 |\n| ralf schumacher | williams - bmw | 70 | + 0.784 | 1 |\n| juan pablo montoya | williams - bmw | 70 | + 1.355 | 2 |\n| fernando alonso | renault | 70 | + 4.481 | 4 |\n| rubens barrichello | ferrari | 70 | + 1:04.261 | 5 |\n| kimi räikkönen | mclaren - mercedes | 70 | + 1:10.502 | 20 |\n| mark webber | jaguar - cosworth | 69 | + 1 lap | 6 |\n| olivier panis | toyota | 69 | + 1 lap | 7 |\n| jos verstappen | minardi - cosworth | 68 | + 2 laps | 15 |\n| antônio pizzonia | jaguar - cosworth | 64 | brakes | 13 |\n| cristiano da matta | toyota | 64 | suspension | 9 |\n| justin wilson | minardi - cosworth | 60 | gearbox | 18 |\n| jenson button | bar - honda | 51 | gearbox | 17 |\n| david coulthard | mclaren - mercedes | 47 | gearbox | 11 |\n| nick heidfeld | sauber - petronas | 47 | engine | 12 |\n| jarno trulli | renault | 22 | collision damage | 8 |\n| giancarlo fisichella | jordan - ford | 20 | gearbox | 16 |\n| ralph firman | jordan - ford | 20 | engine | 19 |\n| jacques villeneuve | bar - honda | 14 | brakes | 14 |\n| heinz - harald frentzen | sauber - petronas | 6 | electronics | 10 |" + }, + { + "from": "human", + "value": "Examine the table titled '2003 canadian grand prix' and judge whether the table affirms or contradicts the following claim. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nduring the 2003 canadian grand prix , michael schumacher was the slowest driver who won" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the claim is false. Consequently, the answer is {\"answer\": \"contradicts\"}." + }, + { + "from": "human", + "value": "Table title: 2003 canadian grand prix\nclaim: driver michael schumacher recorded a faster completion time of 0.784 sec above the runner - up\nPlease distinguish whether the above claim is supported or contradicted by the table information. Output the final answer as JSON in the format {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the claim is true. So, the answer is {\"answer\": \"supported\"}." + }, + { + "from": "human", + "value": "This is a table named '2003 canadian grand prix', please determine whether the given sentence is upheld or disproved by the table information. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\njenson button is one of the four drivers to retire due to gearbox issues" + }, + { + "from": "gpt", + "value": "According to the table, the sentence is upheld by the table information. Therefore, the final answer: {\"answer\": \"upheld\"}." + }, + { + "from": "human", + "value": "According to the table information regarding '2003 canadian grand prix', tell me whether the provided table affirms or disputes the claim. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nthere were no driver who retired during the 2003 canadian grand prix" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the claim is false. Consequently, the answer is {\"answer\": \"disputes\"}." + }, + { + "from": "human", + "value": "I need you to conduct the following task:\nGiven this table image, find all merged table cells and return merged regions with the JSON {'top-left':(R1, C1), 'bottom-right':(R2, C2)}, where (R1, C1) and (R2, C2) indicate the (row_id, column_id) of top-left and bottom-right cells in the merged regions, respectively. You should remember that row id and column id start from 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + } + ] + }, + { + "id": "table_instructV_multi_round_647", + "image": "table_instructV/images/TAT-QA_df4ae058-a568-403b-9a27-b4393d86dfda.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| | | For the Years Ended December 31, | | |\n| --- | --- | --- | --- | --- |\n| | 2019 | 2018 | Increase/ (decrease) | % Change |\n| Net revenues by distribution channel: | | | | |\n| Digital online channels (1) | $4,932 | $5,786 | $(854) | (15)% |\n| Retail channels | 909 | 1,107 | (198) | (18) |\n| Other (2) | 648 | 607 | 41 | 7 |\n| Total consolidated net revenues | $6,489 | $7,500 | $(1,011) | (13) |" + }, + { + "from": "human", + "value": "Look at the table, and use the information to answer the question. Besides, your final answer should be in the JSON format {\"answer\": []} such as {\"answer\": [\"87.56\", \"12.43\"]}.\nWhat percentage of total consolidated net revenue consists of Other in 2019?" + }, + { + "from": "gpt", + "value": "Based on the table, we need to conduct the following computations:\n(648/$6489) = 9.99\nTherefore, the final answer: {\"answer\": [\"9.99\"]}." + }, + { + "from": "human", + "value": "Based on the given table, what are the contents of the subsequent rows?\nrow 7,\nrow 1,\n\nRequirements: Represent the cells in a row with the JSON format {\"row_id\":\"\", \"cell_list\":\"\"}. For instance, {\"row_id\":\"5\", \"cell_list\": [\"152\", \"UN\", \"one last kiss\"]}." + }, + { + "from": "gpt", + "value": "The cell values of target rows are as follows:\nFor row 7: {\"row_id\": \"7\", \"cell_list\": ['Total consolidated net revenues', '$6,489', '$7,500', '$(1,011)', '(13)']}\nFor row 1: {\"row_id\": \"1\", \"cell_list\": ['', '', 'For the Years Ended December 31,', '', '']}" + } + ] + }, + { + "id": "table_instructV_multi_round_723", + "image": "table_instructV/images/TABMWP_25958.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| Number of bushes | Number of roses |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | ? |" + }, + { + "from": "human", + "value": "Solve the math problem below using the information from the table. Detail each step. The concluding answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\n\nEach bush has 2 roses. How many roses are on 4 bushes?" + }, + { + "from": "gpt", + "value": "Count by twos. Use the chart: there are 8 roses on 4 bushes.\n\nSo, the answer is {\"answer\": \"8\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_766", + "image": "table_instructV/images/TabFact_2-16780132-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | september 3 , 2000 | cleveland browns | w 27 - 7 | 72418 |\n| 2 | september 10 , 2000 | baltimore ravens | l 39 - 36 | 68843 |\n| 3 | september 17 , 2000 | cincinnati bengals | w 13 - 0 | 45653 |\n| 4 | september 25 , 2000 | indianapolis colts | l 43 - 14 | 56816 |\n| 5 | october 1 , 2000 | pittsburgh steelers | l 24 - 13 | 64351 |\n| 6 | october 8 , 2000 | baltimore ravens | l 15 - 10 | 65194 |\n| 7 | october 16 , 2000 | tennessee titans | l 27 - 13 | 68498 |\n| 8 | october 22 , 2000 | washington redskins | l 35 - 16 | 69061 |\n| 9 | october 29 , 2000 | dallas cowboys | w 23 - 17 (ot) | 63554 |\n| 11 | november 12 , 2000 | seattle seahawks | l 28 - 21 | 68063 |\n| 12 | november 19 , 2000 | pittsburgh steelers | w 34 - 24 | 50925 |\n| 13 | november 26 , 2000 | tennessee titans | w 16 - 13 | 65454 |\n| 14 | december 3 , 2000 | cleveland browns | w 48 - 0 | 51262 |\n| 15 | december 10 , 2000 | arizona cardinals | w 44 - 10 | 53472 |\n| 16 | december 17 , 2000 | cincinnati bengals | l 17 - 14 | 50469 |\n| 17 | december 23 , 2000 | new york giants | l 28 - 25 | 77924 |" + }, + { + "from": "human", + "value": "Based on the table titled '2000 jacksonville jaguars season' and the subsequent sentence, determine if the sentence is confirmed or challenged by the table. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nsentence: the jaquars challenged the baltimore ravens one time during the season , in which they lost 39 - 360" + }, + { + "from": "gpt", + "value": "According to the table, the sentence is challenged by the table information. Therefore, the final answer: {\"answer\": \"challenged\"}." + }, + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the latex-format in text." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|}\n\\hline\n week & date & opponent & result & attendance \\\\\n\\hline\n 1 & september 3 , 2000 & cleveland browns & w 27 - 7 & 72418 \\\\\n\\hline\n 2 & september 10 , 2000 & baltimore ravens & l 39 - 36 & 68843 \\\\\n\\hline\n 3 & september 17 , 2000 & cincinnati bengals & w 13 - 0 & 45653 \\\\\n\\hline\n 4 & september 25 , 2000 & indianapolis colts & l 43 - 14 & 56816 \\\\\n\\hline\n 5 & october 1 , 2000 & pittsburgh steelers & l 24 - 13 & 64351 \\\\\n\\hline\n 6 & october 8 , 2000 & baltimore ravens & l 15 - 10 & 65194 \\\\\n\\hline\n 7 & october 16 , 2000 & tennessee titans & l 27 - 13 & 68498 \\\\\n\\hline\n 8 & october 22 , 2000 & washington redskins & l 35 - 16 & 69061 \\\\\n\\hline\n 9 & october 29 , 2000 & dallas cowboys & w 23 - 17 (ot) & 63554 \\\\\n\\hline\n 11 & november 12 , 2000 & seattle seahawks & l 28 - 21 & 68063 \\\\\n\\hline\n 12 & november 19 , 2000 & pittsburgh steelers & w 34 - 24 & 50925 \\\\\n\\hline\n 13 & november 26 , 2000 & tennessee titans & w 16 - 13 & 65454 \\\\\n\\hline\n 14 & december 3 , 2000 & cleveland browns & w 48 - 0 & 51262 \\\\\n\\hline\n 15 & december 10 , 2000 & arizona cardinals & w 44 - 10 & 53472 \\\\\n\\hline\n 16 & december 17 , 2000 & cincinnati bengals & l 17 - 14 & 50469 \\\\\n\\hline\n 17 & december 23 , 2000 & new york giants & l 28 - 25 & 77924 \\\\\n\\hline\n\\end{tabular}" + }, + { + "from": "human", + "value": "According to the table information regarding '2000 jacksonville jaguars season', tell me whether the provided table affirms or disputes the hypothesis. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nmore people attended the week 7 game than attended the week 13 game" + }, + { + "from": "gpt", + "value": "Based on the table, the hypothesis holds true. Thus, the final answer is {\"answer\": \"affirms\"}." + }, + { + "from": "human", + "value": "Give you a table picture about '2000 jacksonville jaguars season', determine whether the following sentence is entailed or disproved by the table's content. The final result should be presented in the JSON format of {\"answer\": \"\"}.\n\nthe jaguars played exactly two games against the baltimore ravens" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the sentence is true. So, the answer is {\"answer\": \"entailed\"}." + }, + { + "from": "human", + "value": "According to the table information regarding '2000 jacksonville jaguars season', tell me whether the provided table substantiates or opposes the hypothesis. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nthe first game of the season , was the game with the highest attendance" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it opposes the hypothesis. So, the answer is {\"answer\": \"opposes\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_940", + "image": "table_instructV/images/TabFact_2-17405932-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| order | episode | rating | share | rating / share (1849) | viewers (millions) | rank (night) | rank (timeslot) | rank (week) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 & 2 | goliath | 3.9 | 6 | 1.6 / 4 | 6.07 | 9 | 3 | 55 |\n| 3 | prosperity | 2.9 | 5 | 1.3 / 2 | 4.60 | 13 | 4 | 67 |\n| 4 | first night | 3.0 | 5 | 1.9 / 3 | 4.51 | 13 | 5 | 61 |\n| 5 | insurrection | 2.5 | 4 | 1.1 / 3 | 3.61 | 13 | 4 | 59 |\n| 6 | judgment day | 1.5 | 3 | 0.6 / 2 | 2.41 | 7 | 4 | 64 |\n| 7 | brotherhood | 0.9 | 2 | 0.3 / 1 | 1.59 | 10 | 4 | 39 |\n| 8 | the sabbath queen | 1.2 | 3 | 0.5 / 2 | 1.94 | 11 | 4 | 28 |\n| 9 | pilgrimage | 1.0 | 3 | 0.4 / 2 | 1.54 | 11 | 4 | 41 |\n| 10 | chapter one | 1.1 | 3 | 0.3 / 1 | 1.30 | 10 | 4 | 34 |\n| 11 | javelin | 1.2 | 2 | 0.4 / 2 | 1.64 | 11 | 4 | 36 |\n| 12 | the new king (part 1) | 1.0 | 2 | 0.4 / 2 | 1.57 | 11 | 4 | 38 |\n| 13 | the new king (part 2) | 1.3 | 3 | 0.4 / 2 | 1.80 | 10 | 3 | 38 |" + }, + { + "from": "human", + "value": "According to the table information regarding 'kings (u.s. tv series)', tell me whether the provided table affirms or refutes the claim. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nthe show was quite stable in its time slot ranking , coming in third place 30% of the time" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it refutes the claim. Hence, the answer is {\"answer\": \"refutes\"}." + }, + { + "from": "human", + "value": "Examine the table with the given title 'kings (u.s. tv series)' and judge whether the hypothesis is confirmed or disputed based on the table's content. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nthe show was quite stable in its time slot ranking , coming in in fourth place 75% of the time" + }, + { + "from": "gpt", + "value": "According to the table, the hypothesis is confirmed by the table information. Therefore, the final answer: {\"answer\": \"confirmed\"}." + }, + { + "from": "human", + "value": "Based on the table titled 'kings (u.s. tv series)' and the subsequent hypothesis, determine if the hypothesis is supported or contradicted by the table. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nhypothesis: the greatest shift in nightly rank came between weeks five and six , with a loss of six points" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the hypothesis. Hence, the answer is {\"answer\": \"supported\"}." + }, + { + "from": "human", + "value": "This is a table named 'kings (u.s. tv series)', please determine whether the given hypothesis is affirmed or refuted by the table information. Show your final answer in the JSON format {\"answer\": \"\"}.\nviewership went steadily down , with only two weeks with viewship higher than the week before" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the hypothesis is false. So, the answer is {\"answer\": \"refuted\"}." + }, + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the latex representation of the table in text format." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|c|c|c|c|}\n\\hline\n order & episode & rating & share & rating / share (1849) & viewers (millions) & rank (night) & rank (timeslot) & rank (week) \\\\\n\\hline\n 1 \\& 2 & goliath & 3.9 & 6 & 1.6 / 4 & 6.07 & 9 & 3 & 55 \\\\\n\\hline\n 3 & prosperity & 2.9 & 5 & 1.3 / 2 & 4.60 & 13 & 4 & 67 \\\\\n\\hline\n 4 & first night & 3.0 & 5 & 1.9 / 3 & 4.51 & 13 & 5 & 61 \\\\\n\\hline\n 5 & insurrection & 2.5 & 4 & 1.1 / 3 & 3.61 & 13 & 4 & 59 \\\\\n\\hline\n 6 & judgment day & 1.5 & 3 & 0.6 / 2 & 2.41 & 7 & 4 & 64 \\\\\n\\hline\n 7 & brotherhood & 0.9 & 2 & 0.3 / 1 & 1.59 & 10 & 4 & 39 \\\\\n\\hline\n 8 & the sabbath queen & 1.2 & 3 & 0.5 / 2 & 1.94 & 11 & 4 & 28 \\\\\n\\hline\n 9 & pilgrimage & 1.0 & 3 & 0.4 / 2 & 1.54 & 11 & 4 & 41 \\\\\n\\hline\n 10 & chapter one & 1.1 & 3 & 0.3 / 1 & 1.30 & 10 & 4 & 34 \\\\\n\\hline\n 11 & javelin & 1.2 & 2 & 0.4 / 2 & 1.64 & 11 & 4 & 36 \\\\\n\\hline\n 12 & the new king (part 1) & 1.0 & 2 & 0.4 / 2 & 1.57 & 11 & 4 & 38 \\\\\n\\hline\n 13 & the new king (part 2) & 1.3 & 3 & 0.4 / 2 & 1.80 & 10 & 3 & 38 \\\\\n\\hline\n\\end{tabular}" + } + ] + }, + { + "id": "table_instructV_multi_round_946", + "image": "table_instructV/images/TabFact_2-14230578-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| event | 2006 - 07 | 2007 - 08 | 2008 - 09 | 2009 - 10 | 2010 - 11 | 2012 - 13 |\n| --- | --- | --- | --- | --- | --- | --- |\n| autumn gold | q | qf | q | qf | q | q |\n| manitoba liquor & lotteries | q | q | q | qf | q | q |\n| colonial square | n / a | n / a | n / a | n / a | n / a | r16 |\n| masters | n / a | n / a | n / a | n / a | n / a | q |\n| players' | dnp | c | q | dnp | dnp | dnp |" + }, + { + "from": "human", + "value": "Examine whether the subsequent hypothesis is affirmed or disproved by the given table titled 'amber holland'. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nthe players' even is the only even in which amber holland ever had a dnp" + }, + { + "from": "gpt", + "value": "Based on the table information, the hypothesis is true. Thus, the answer is {\"answer\": \"affirmed\"}." + }, + { + "from": "human", + "value": "In this task, you are given a table with its title 'amber holland', your goal is to distinguish whether this table upholds or challenges the hypothesis. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\namber holland has two events that do not have recorded stats until 2012" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table upholds the validity of the hypothesis. Therefore, the final answer: {\"answer\": \"upholds\"}." + }, + { + "from": "human", + "value": "Analyze this table picture about 'amber holland' and classify whether the given table supports or challenges the statement. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\n\nthe player 's event is the only event in which amber holland has never qualified" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the statement is false. Consequently, the answer is {\"answer\": \"challenges\"}." + }, + { + "from": "human", + "value": "Analyze the table picture about 'amber holland' and classify whether the next hypothesis is supported or contradicted by the table. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\n\namber holland has three events that do not have recorded stats until 2012" + }, + { + "from": "gpt", + "value": "According to the table, the hypothesis is contradicted by the table information. Therefore, the final answer: {\"answer\": \"contradicted\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_1155", + "image": "table_instructV/images/TabFact_2-12586867-9.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| status | name | first performance | last performance | style |\n| --- | --- | --- | --- | --- |\n| original cast | kiril kulish | 1 october 2008 | 3 october 2009 | ballet |\n| original cast | david álvarez | 2 october 2008 | 3 january 2010 | ballet |\n| original cast | trent kowalik | 8 october 2008 | 7 march 2010 | ballet / irish step |\n| past | tommy batchelor | 10 february 2009 | 11 december 2009 | ballet |\n| past | alex ko | 6 october 2009 | 15 may 2011 | ballet / gymnastics |\n| past | liam redhead | 23 december 2009 | 29 august 2010 | ballet |\n| past | michael dameski | 31 january 2010 | 5 september 2010 | ballet |\n| past | kevin geraghty | 19 december 2009 | 12 june 2011 | ballet / street |\n| past | jacob clemente | 3 april 2010 | 3 july 2011 | ballet / tap |\n| past | giuseppe bausilio | 3 july 2011 | 6 november 2011 | ballet |\n| past | myles erlick | 24 september 2011 | 13 november 2011 | ballet |\n| final cast | peter mazurowski | 29 august 2010 | 8 january 2012 | ballet |\n| final cast | joseph ryan harrington | 24 october 2010 | 8 january 2012 | ballet |\n| final cast | tade biesinger | 17 may 2011 | 8 january 2012 | ballet |\n| final cast | julian elia | 12 november 2011 | 8 january 2012 | ballet |" + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following statement is entailed or challenged by the table. Output the final answer as JSON in the format {\"answer\": \"\"}.\ntable title:billy elliot the musical casts\nstatement: final cast julian elia 's first performance was 12 november 2011" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the statement is true. So, the answer is {\"answer\": \"entailed\"}." + }, + { + "from": "human", + "value": "Examine the table with the caption 'billy elliot the musical casts', classify whether the provided table affirms or contradicts the statement. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nstatement: 11 december 2009 will be the performance with the final cast , ballet as style and tommy batchelor" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the statement is false. Consequently, the answer is {\"answer\": \"contradicts\"}." + }, + { + "from": "human", + "value": "This is a table named 'billy elliot the musical casts', please determine whether the given sentence is entailed or opposed by the table information. The final result should be presented in the JSON format of {\"answer\": \"\"}.\ngiuseppe bausilio had a last performance of 3 july 2011. had a last performance of 3 july 2011" + }, + { + "from": "gpt", + "value": "Based on the table information, the sentence is not true. Thus, the answer is {\"answer\": \"opposed\"}." + }, + { + "from": "human", + "value": "Based on the provided table, find the positions of cells with the subsequent values. Return their locations using the JSON format {'value': '', 'location': (row index, column index)}, starting from 1 for both row and column indices. Should a cell be absent in the table, denote its location as 'DOES NOT EXIST'.\nThe target cell values:\n(1) 'Films',\n(2) '2017',\n(3) 'ballet / irish step',\n(4) 'peter mazurowski',\n(5) 'Debut Telugu',\n(6) '23 december 2009',\n(7) 'ballet / tap',\n(8) 'Mr. Kabaadi'," + }, + { + "from": "gpt", + "value": "The target cell locations are as follows:\n(1) {'value': 'Films', 'location': 'DOES NOT EXIST'}\n(2) {'value': '2017', 'location': 'DOES NOT EXIST'}\n(3) {'value': 'ballet / irish step', 'location': (4, 5)}\n(4) {'value': 'peter mazurowski', 'location': (13, 2)}\n(5) {'value': 'Debut Telugu', 'location': 'DOES NOT EXIST'}\n(6) {'value': '23 december 2009', 'location': (7, 3)}\n(7) {'value': 'ballet / tap', 'location': (10, 5)}\n(8) {'value': 'Mr. Kabaadi', 'location': 'DOES NOT EXIST'}" + }, + { + "from": "human", + "value": "Retrieve the content of the cell located in row 1 and column 2 of this table. Format the cell value as a JSON, using the structure {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"\"}." + }, + { + "from": "gpt", + "value": "The target cell value in row 1 and column 2 is {\"row_id\":\"1\", \"column_id\":\"2\", \"cell_value\":\"name\"}." + }, + { + "from": "human", + "value": "This is a table image titled 'billy elliot the musical casts', help me determine if the table substantiates or opposes the following claim. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\njoseph ryan harrington had a first performance of 24 october 2010 and a last performance of 8 january 2012" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it substantiates the claim. So, the answer is {\"answer\": \"substantiates\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_1208", + "image": "table_instructV/images/TabFact_2-16651598-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| driver | team | laps | time / retired | grid | points |\n| --- | --- | --- | --- | --- | --- |\n| sébastien bourdais | newman / haas racing | 84 | 1:45:36.930 | 1 | 34 |\n| jimmy vasser | pkv racing | 84 | + 1.396 secs | 11 | 28 |\n| patrick carpentier | forsythe racing | 84 | + 6.731 secs | 6 | 25 |\n| mario haberfeld | walker racing | 84 | + 7.892 secs | 14 | 24 |\n| paul tracy | forsythe racing | 84 | + 9.665 secs | 2 | 23 |\n| gastón mazzacane | dale coyne racing | 84 | + 14.002 secs | 16 | 19 |\n| alex tagliani | rocketsports racing | 84 | + 28.444 secs | 9 | 17 |\n| ryan hunter - reay | herdez competition | 84 | + 43.175 secs | 7 | 15 |\n| oriol servià | dale coyne racing | 83 | + 1 lap | 10 | 13 |\n| alex sperafico | mi - jack conquest racing | 83 | + 1 lap | 17 | 11 |\n| a j allmendinger | rusport | 82 | + 2 laps | 8 | 10 |\n| justin wilson | mi - jack conquest racing | 81 | + 3 laps | 5 | 9 |\n| roberto gonzález | pkv racing | 80 | contact | 15 | 8 |\n| rodolfo lavín | forsythe racing | 78 | stalled | 13 | 7 |\n| michel jourdain , jr | rusport | 73 | contact | 12 | 6 |\n| memo gidley | rocketsports racing | 36 | contact | 18 | 5 |\n| mario domínguez | herdez competition | 0 | contact | 4 | 4 |\n| bruno junqueira | newman / haas racing | 0 | contact | 3 | 3 |" + }, + { + "from": "human", + "value": "Analyze the table picture about '2004 molson indy toronto' and classify whether the next hypothesis is upheld or opposed by the table. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\n\nsébastien bourdais was just 1.396 seconds faster than jimmy vasser" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the hypothesis. Hence, the answer is {\"answer\": \"upheld\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title '2004 molson indy toronto', and determine whether the table confirms or disproves the given hypothesis. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nhypothesis: all teams have two drivers except forsythe racing which as three and walker racing which only has one , all of which finished in the top 10" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table disproves the validity of the hypothesis. Therefore, the final answer: {\"answer\": \"disproves\"}." + }, + { + "from": "human", + "value": "Table title: 2004 molson indy toronto\nclaim: rodolfo lavín , from forsythe racing , was the only driver stalled\nPlease distinguish whether the above claim is entailed or opposed by the table information. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}." + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the claim. Hence, the answer is {\"answer\": \"entailed\"}." + }, + { + "from": "human", + "value": "Determine the relationship between the table named '2004 molson indy toronto' and the sentence. Whether the table supports or disproves the given sentence? Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nsentence: sébastien bourdais was just 1.396 seconds faster than jimmy vasser and finished with 3 points more" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it disproves the sentence. So, the answer is {\"answer\": \"disproves\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_1286", + "image": "table_instructV/images/Rotowire_train_table_719.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hawks | Atlanta | 83 | 23 | 22 | 21 | 17 | 21 | 49 | 22 | 42 | 50 | 44 | 27 | 20 | | | | |\n| Clippers | LA | 85 | 17 | 26 | 21 | 21 | 18 | 46 | 11 | 39 | 67 | 19 | 30 | 16 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hawks | | | | | | | | | | | | | | | | | | |\n| Jeff Teague | 31 | 16 | 3 | 2 | 7-10 | 70% | 2-2 | 100% | 0-0 | 0% | 2 | 5 | 0 | 0 | 3 | 2 | G | Atlanta |\n| Al Horford | 36 | 15 | 8 | 6 | 6-13 | 46% | 1-5 | 20% | 2-5 | 40% | 1 | 2 | 0 | 2 | 6 | 2 | C | Atlanta |\n| Paul Millsap | 34 | 14 | 12 | 4 | 6-14 | 43% | 1-2 | 50% | 1-3 | 33% | 1 | 2 | 2 | 4 | 8 | 2 | F | Atlanta |\n| Kyle Korver | 32 | 14 | 3 | 3 | 4-6 | 67% | 4-4 | 100% | 2-2 | 100% | 0 | 1 | 1 | 0 | 3 | 2 | G | Atlanta |\n| Kent Bazemore | 31 | 12 | 5 | 2 | 5-15 | 33% | 1-4 | 25% | 1-2 | 50% | 1 | 5 | 0 | 0 | 5 | 4 | F | Atlanta |\n| Dennis Schroder | 17 | 7 | 4 | 3 | 3-9 | 33% | 1-2 | 50% | 0-0 | 0% | 0 | 4 | 0 | 0 | 4 | 1 | N/A | Atlanta |\n| Tiago Splitter | 12 | 2 | 3 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 0 | N/A | Atlanta |\n| Thabo Sefolosha | 24 | 2 | 4 | 0 | 1-6 | 17% | 0-2 | 0% | 0-0 | 0% | 1 | 3 | 0 | 0 | 4 | 3 | N/A | Atlanta |\n| Mike Scott | 15 | 1 | 5 | 1 | 0-2 | 0% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 0 | 1 | 4 | 1 | N/A | Atlanta |\n| Tim Hardaway Jr. | 9 | 0 | 2 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Atlanta |\n| Mike Muscala | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Lamar Patterson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Shelvin Mack | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Clippers | | | | | | | | | | | | | | | | | | |\n| Jamal Crawford | 29 | 21 | 1 | 2 | 9-16 | 56% | 1-2 | 50% | 2-2 | 100% | 1 | 2 | 0 | 0 | 1 | 1 | N/A | LA |\n| DeAndre Jordan | 34 | 13 | 19 | 0 | 3-5 | 60% | 0-0 | 0% | 7-12 | 58% | 0 | 1 | 1 | 4 | 15 | 1 | C | LA |\n| JJ Redick | 26 | 12 | 0 | 0 | 4-10 | 40% | 2-6 | 33% | 2-2 | 100% | 1 | 0 | 0 | 0 | 0 | 2 | G | LA |\n| Chris Paul | 33 | 11 | 4 | 10 | 5-15 | 33% | 0-4 | 0% | 1-1 | 100% | 3 | 2 | 0 | 0 | 4 | 1 | G | LA |\n| Austin Rivers | 20 | 8 | 4 | 1 | 4-9 | 44% | 0-2 | 0% | 0-0 | 0% | 2 | 0 | 0 | 0 | 4 | 1 | N/A | LA |\n| Wesley Johnson | 28 | 7 | 6 | 0 | 3-12 | 25% | 1-8 | 13% | 0-0 | 0% | 6 | 2 | 1 | 0 | 6 | 2 | N/A | LA |\n| Paul Pierce | 15 | 5 | 2 | 1 | 2-7 | 29% | 1-4 | 25% | 0-0 | 0% | 0 | 1 | 1 | 0 | 2 | 1 | F | LA |\n| Luc Mbah a Moute | 26 | 5 | 5 | 1 | 2-6 | 33% | 0-0 | 0% | 1-2 | 50% | 2 | 2 | 0 | 3 | 2 | 1 | F | LA |\n| Cole Aldrich | 14 | 3 | 4 | 1 | 1-4 | 25% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 2 | 2 | 2 | 2 | N/A | LA |\n| Pablo Prigioni | 15 | 0 | 1 | 2 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 2 | N/A | LA |\n| Lance Stephenson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |\n| Jeff Ayres | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |\n| CJ Wilcox | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |" + }, + { + "from": "human", + "value": "Review the box-score and line-score tables from the NBA game between Hawks and Clippers on January 27, 2016. Compose a game summary based on the data statistics." + }, + { + "from": "gpt", + "value": "The Los Angeles Clippers (30-16) defeated the Atlanta Hawks (27-20) 85-83 on Wednesday. The Clippers improved to 4-2 on their East Coast swing largely by taking care of the ball and playing some suffocating defense. Los Angeles managed to force 23 turnovers from the Hawks on the night, while also holding them to 60 points over the final three periods after Atlanta had build a 23-17 lead through one quarter. Despite their efforts, the Hawks were in prime position to send matters into overtime as regulation expired, with the ball in the hands of the dependable Paul Millsap. However, the stalwart power forward missed his driving layup with a second on the clock, and the Clippers' DeAndre Jordan came down with a 15th defensive rebound for the second consecutive night to seal the win. The visitors actually struggled somewhat from the field, tallying a 39 percent success rate overall and only 19 percent from three-point range. Their lack of offensive proficiency was evidenced by Jamal Crawford serving as the leading scorer on the night off the bench with a 21-point total. He added a pair of assists, a rebound and a steal. Jordan came on strong in the fourth quarter to finish with a 13-point, 19-rebound double-double, while also adding a block. Chris Paul chipped in with a double-double of his own that consisted of 11 points and 10 assists, with a trio of steals thrown in for good measure. J.J. Redick managed 12 points but could only add a steal to his stat line otherwise. The Clippers remain in second place in the Western Conference 's Pacific Division. They now return home and take on the Lakers in an intra-city matchup on Friday. The home team tallied 42 and 44 percent success rates from the field and three-point range, respectively, and saw all five starters hit double-digit scoring. Jeff Teague led the way with 16 points, three rebounds, two assists and two steals. However, he also matched Kent Bazemore for the team lead with five turnovers. Al Horford held his own in his tussle with Jordan, managing 15 points, eight boards, six assists and a steal. Kyle Korver and Millsap pitched in with a pair of 14-point efforts, with the former adding three rebounds, three assists and a block, and the former putting together a 14-point, 12-rebound double-double that was supplemented with four assists, a steal and a pair of blocks. Bazemore rounded out the productive night for the starting five with 12 points, five rebounds, two assists and a steal. Despite the loss, the Hawks retain a hold on first place in the Eastern Conference 's Southeast Division. They 're back on the court Thursday night in Indiana to tangle with the Pacers." + }, + { + "from": "human", + "value": "Your task:\nLook at the table image, determine the locations of the following cells. A cell's location MUST be represented as a json structure {'value': '', 'location': (row index, column index)}, with row and column indices beginning from 1. If a cell does not exist in the table, denote its location as 'DOES NOT EXIST'.\nTarget cells:\n1. 'Tiago Splitter';\n2. 'Lamar Patterson';\n3. 'Al Horford';" + }, + { + "from": "gpt", + "value": "The target cell locations are as follows:\n1. {'value': 'Tiago Splitter', 'location': (13, 1)}\n2. {'value': 'Lamar Patterson', 'location': (18, 1)}\n3. {'value': 'Al Horford', 'location': (8, 1)}" + } + ] + }, + { + "id": "table_instructV_multi_round_1297", + "image": "table_instructV/images/TABMWP_14996.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 4 | 17 |\n| 5 | 13 |\n| 6 | 3 |" + }, + { + "from": "human", + "value": "Please solve the problem based on the given image. Provide a concluding answer in a JSON structure, using the format {\"answer\": \"\"}.\nProblem: The table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear\nYour Solution:" + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{13 - 17}{5 - 4}\n = \\frac{-4}{1}\n = -4\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the first row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{3 - 17}{6 - 4}\n = \\frac{-14}{2}\n = -7\nThe rate of change is not the same for each pair of points. So, the function does not have a constant rate of change.\nThe function is nonlinear.\n\nSo, the answer is {\"answer\": \"nonlinear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_1397", + "image": "table_instructV/images/TabFact_2-1430940-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| year | award | nominated work | category | result |\n| --- | --- | --- | --- | --- |\n| 2004 | academy awards | maria full of grace | best actress | nominated |\n| 2004 | screen actors guild awards | maria full of grace | best actress | nominated |\n| 2004 | independent spirit awards | maria full of grace | best female lead | won |\n| 2004 | chicago film critics association | maria full of grace | most promising performer | won |\n| 2004 | colombian cinema award | maria full of grace | best actress | won |\n| 2004 | gotham awards | maria full of grace | breakthrough performance | won |\n| 2004 | imagen foundation awards | maria full of grace | best actress - film | won |\n| 2004 | los angeles film critics association awards | maria full of grace | award for new generation | won |\n| 2004 | online film critics society awards | maria full of grace | best breakthrough performance | won |\n| 2004 | premios ace | maria full of grace | best actress | won |\n| 2004 | seattle international film festival | maria full of grace | best actress | won |\n| 2004 | showest award | maria full of grace | international star of the year | won |\n| 2004 | berlin international film festival | maria full of grace | best actress | won |\n| 2004 | broadcast film critics association | maria full of grace | best actress | nominated |\n| 2004 | chlotrudis awards | maria full of grace | best actress | nominated |\n| 2004 | satellite awards | maria full of grace | best actress in a motion picture , drama | nominated |\n| 2005 | london critics circle film awards | maria full of grace | actress of the year | nominated |" + }, + { + "from": "human", + "value": "Examine the table titled 'catalina sandino moreno' and judge whether the table entails or challenges the following hypothesis. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\n9 of the awards were in the year 2004 , with 1 in 2005" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table challenges the validity of the hypothesis. Therefore, the final answer: {\"answer\": \"challenges\"}." + }, + { + "from": "human", + "value": "This is a table named 'catalina sandino moreno', please determine whether the given statement is substantiated or disproved by the table information. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nthe best actress category was the prevalent nomination of all" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the statement. Hence, the answer is {\"answer\": \"substantiated\"}." + }, + { + "from": "human", + "value": "Examine the table with the given title 'catalina sandino moreno' and judge whether the hypothesis is upheld or disputed based on the table's content. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\n10 of the awards were in the year 2004 , with 1 in 2005" + }, + { + "from": "gpt", + "value": "According to the table, the hypothesis is upheld by the table information. Therefore, the final answer: {\"answer\": \"upheld\"}." + }, + { + "from": "human", + "value": "Examine the table titled 'catalina sandino moreno' and judge whether the table affirms or disproves the following hypothesis. The final result should be presented in the JSON format of {\"answer\": \"\"}.\ntheinternational star of the yeary was the prevalent nomination of all" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it disproves the hypothesis. Hence, the answer is {\"answer\": \"disproves\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_1401", + "image": "table_instructV/images/ToTTo_train_table_624.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| England | v | Australia |\n| --- | --- | --- |\n| 321 (118.4 overs) RA Smith 86 (113) MG Hughes 5/92 [31] | | 373 (108.3 overs) DC Boon 101 (177) MJ McCague 4/121 [32.3] |\n| 422/6d (155 overs) GA Gooch 120 (265) SK Warne 3/108 [50] | | 202/6 (76 overs) BP Julian 56* (103) AR Caddick 3/32 [16] |" + }, + { + "from": "human", + "value": "This image shows a Wikipedia table extracted from a section.\nTable title: Australian cricket team in England in 1993\nTable section title: Third Test (1–6 July)\n Using the provided table and its metadata, write a sentence to summarize the information in the highlighted table cells." + }, + { + "from": "gpt", + "value": "In 1993 the Australian cricket team in England, Gooch scored 120." + }, + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the latex-format in text." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|}\n\\hline\n England & v & Australia \\\\\n\\hline\n 321 (118.4 overs) RA Smith 86 (113) MG Hughes 5/92 [31] & & 373 (108.3 overs) DC Boon 101 (177) MJ McCague 4/121 [32.3] \\\\\n\\hline\n 422/6d (155 overs) GA Gooch 120 (265) SK Warne 3/108 [50] & & 202/6 (76 overs) BP Julian 56* (103) AR Caddick 3/32 [16] \\\\\n\\hline\n\\end{tabular}" + } + ] + }, + { + "id": "table_instructV_multi_round_1495", + "image": "table_instructV/images/TAT-QA_57ed5d84-1074-4988-ab33-966aecadbb72.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| | 2019 | | | 2018 | | 2018 |\n| --- | --- | --- | --- | --- | --- | --- |\n| | Loss £m | Shares million | Loss per share pence | Loss £m | Shares million | Loss per Share pence |\n| Basic1 | (1950.9) | 1,344.5 | (145.1)p | (1,132.2) | 1,343.7 | (84.3)p |\n| Diluted2 | (1950.9) | 1,344.5 | (145.1)p | (1,132.2) | 1,343.7 | (84.3)p |" + }, + { + "from": "human", + "value": "Tell me the row and column numbers of the shown table. Output the final answer in the JSON format {\"row_number\": \"m\", \"column_number\": \"n\"}. For instance, if the table has 5 rows and 4 columns, the answer would be {\"row_number\": \"5\", \"column_number\": \"4\"}" + }, + { + "from": "gpt", + "value": "There are 4 rows and 7 columns in the table. So, the final answer is {\"row_number\": \"4\", \"column_number\": \"7\"}." + }, + { + "from": "human", + "value": "A table may have multiple cells. We can utilize the json format {'value': '', 'location': (row number, column number)} to store a cell's positions in a table, where both row and column number start from 1. I am providing you a table image. Please tell me the positions of the cells mentioned below using the above format. Should a cell be absent in the table, denote its location as 'DOES NOT EXIST'.\nValues to locate:\nCELL VALUE 1: 'Diluted2'\nCELL VALUE 2: 'Basic1'\nCELL VALUE 3: 'Loss per Share pence'" + }, + { + "from": "gpt", + "value": "The target cell locations are as follows:\nCELL LOCATION 1: {'value': 'Diluted2', 'location': (4, 1)}\nCELL LOCATION 2: {'value': 'Basic1', 'location': (3, 1)}\nCELL LOCATION 3: {'value': 'Loss per Share pence', 'location': (2, 7)}" + }, + { + "from": "human", + "value": "Answer the following question concisely based on the table image. The concluding answer should be in the JSON structure, formatted as {\"answer\": []}. For instance, {\"answer\": [\"23\", \"14.5\"]}.\nIn which year is there a greater loss per share (pence)?" + }, + { + "from": "gpt", + "value": "Based on the table information, the answer is {\"answer\": [\"2019\"]}." + }, + { + "from": "human", + "value": "View the excel table and provide a succinct reply to the question presented. Format the ultimate answer as a JSON, using the structure {\"answer\": []}.\n\nIn which year is there a greater loss (million)?" + }, + { + "from": "gpt", + "value": "According to the table, the final answer is {\"answer\": [\"2019\"]}." + }, + { + "from": "human", + "value": "Please provide a concise answer to the question below based on the table. Present the final answer as JSON in the format {\"answer\": []}.\nIn which year is there a greater number of shares?" + }, + { + "from": "gpt", + "value": "Based on the table information, the answer is {\"answer\": [\"2019\"]}." + } + ] + }, + { + "id": "table_instructV_multi_round_1716", + "image": "table_instructV/images/Rotowire_train_table_1310.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Suns | Phoenix | 120 | 34 | 30 | 29 | 27 | 27 | 41 | 16 | 51 | 81 | 52 | 10 | 6 | | | | |\n| Nuggets | Denver | 112 | 30 | 34 | 22 | 26 | 19 | 47 | 17 | 43 | 77 | 32 | 7 | 8 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Suns | | | | | | | | | | | | | | | | | | |\n| Gerald Green | 26 | 24 | 3 | 2 | 9-17 | 53% | 6-11 | 55% | 0-0 | 0% | 0 | 2 | 0 | 1 | 2 | 4 | N/A | Phoenix |\n| Eric Bledsoe | 38 | 21 | 1 | 10 | 6-10 | 60% | 2-3 | 67% | 7-8 | 88% | 3 | 3 | 0 | 0 | 1 | 3 | G | Phoenix |\n| Goran Dragic | 36 | 20 | 5 | 4 | 8-13 | 62% | 1-2 | 50% | 3-4 | 75% | 2 | 2 | 0 | 3 | 2 | 4 | G | Phoenix |\n| Markieff Morris | 36 | 15 | 10 | 7 | 6-17 | 35% | 0-2 | 0% | 3-3 | 100% | 3 | 3 | 4 | 2 | 8 | 2 | F | Phoenix |\n| Marcus Morris | 32 | 14 | 5 | 1 | 5-9 | 56% | 2-3 | 67% | 2-4 | 50% | 0 | 1 | 0 | 0 | 5 | 2 | F | Phoenix |\n| PJ Tucker | 27 | 10 | 7 | 1 | 4-8 | 50% | 2-4 | 50% | 0-0 | 0% | 1 | 2 | 0 | 1 | 6 | 2 | N/A | Phoenix |\n| Alex Len | 12 | 10 | 3 | 0 | 4-5 | 80% | 0-0 | 0% | 2-2 | 100% | 0 | 2 | 0 | 1 | 2 | 2 | N/A | Phoenix |\n| Miles Plumlee | 30 | 6 | 7 | 2 | 3-8 | 38% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 4 | 5 | 2 | 3 | C | Phoenix |\n| Anthony Tolliver | 4 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Phoenix |\n| Shavlik Randolph | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| TJ Warren | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Zoran Dragic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Archie Goodwin | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Nuggets | | | | | | | | | | | | | | | | | | |\n| Wilson Chandler | 32 | 19 | 7 | 1 | 7-12 | 58% | 2-4 | 50% | 3-4 | 75% | 1 | 3 | 1 | 3 | 4 | 5 | F | Denver |\n| Arron Afflalo | 35 | 18 | 2 | 1 | 6-11 | 55% | 2-2 | 100% | 4-5 | 80% | 0 | 1 | 0 | 0 | 2 | 2 | G | Denver |\n| Timofey Mozgov | 32 | 18 | 13 | 0 | 8-13 | 62% | 1-1 | 100% | 1-2 | 50% | 3 | 3 | 2 | 9 | 4 | 2 | C | Denver |\n| Ty Lawson | 40 | 17 | 7 | 12 | 4-16 | 25% | 1-7 | 14% | 8-8 | 100% | 2 | 2 | 0 | 2 | 5 | 1 | G | Denver |\n| Alonzo Gee | 18 | 11 | 5 | 0 | 5-9 | 56% | 0-0 | 0% | 1-1 | 100% | 1 | 2 | 0 | 3 | 2 | 1 | N/A | Denver |\n| Kenneth Faried | 29 | 8 | 5 | 1 | 3-8 | 38% | 0-0 | 0% | 2-4 | 50% | 1 | 5 | 0 | 2 | 3 | 2 | F | Denver |\n| Nate Robinson | 14 | 8 | 0 | 3 | 2-9 | 22% | 1-7 | 14% | 3-4 | 75% | 0 | 0 | 0 | 0 | 0 | 3 | N/A | Denver |\n| JJ Hickson | 14 | 7 | 3 | 0 | 2-5 | 40% | 0-0 | 0% | 3-4 | 75% | 0 | 0 | 0 | 1 | 2 | 1 | N/A | Denver |\n| Darrell Arthur | 17 | 6 | 4 | 1 | 2-4 | 50% | 1-2 | 50% | 1-2 | 50% | 2 | 1 | 1 | 0 | 4 | 3 | N/A | Denver |\n| Danilo Gallinari | 9 | 0 | 1 | 0 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Denver |\n| Gary Harris | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Erick Green | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Jusuf Nurkic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |" + }, + { + "from": "human", + "value": "Could you calculate the row number and column number in this table? Provide the final answer in the JSON structure, using the format {\"row_number\": \"m\", \"column_number\": \"n\"}." + }, + { + "from": "gpt", + "value": "There are 33 rows and 19 columns in the table. So, the final answer is {\"row_number\": \"33\", \"column_number\": \"19\"}." + }, + { + "from": "human", + "value": "Analyze the box-score and line-score tables for the NBA game between Suns and Nuggets on 26/11/2014 and use the statistics to create a detailed summary of this game." + }, + { + "from": "gpt", + "value": "The Phoenix Suns (10-6) defeated the Denver Nuggets (7-8) in a 120-112 victory at the US Airways Center on Wednesday. The surprisingly deep Suns rotation was on display against the Nuggets, as seven of the nine active players scored in double-digits. As far as the team 's starters, Eric Bledsoe lead the way with a 21-point (6-10 FG, 2-3 3Pt, 7-8 FT), 10-assist double-double. Bledsoe 's backcourt partner, Goran Dragic, also had an excellent performance and finished with 20 points (8-13 FG, 1-2 3Pt, 3-4 FT), five rebounds and four assists. Suns' sixth man Gerald Green had a team-high 24 points (9-17 FG, 6-11 3Pt) in only 26 minutes. While the Nuggets go below .500 after the tough defeat, they still had a group of players that were able to make a solid impact. The most apparent of those contributing players would be center Timofey Mozgov, who had an incredibly solid 18-point (8-13 FG, 1-1 3Pt, 1-2 FT) and 13-rebound double-double. Meanwhile, Wilson Chandler continues to look to break away from his start-of-the-season slump, as he had 19 points (7-12 FG, 2-4 3Pt, 3-4 FT) and seven rebounds. The Suns and Nuggets will travel to Denver to square off against each other again on Friday night." + } + ] + }, + { + "id": "table_instructV_multi_round_1761", + "image": "table_instructV/images/TabFact_2-11739153-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| date | visitor | score | home | decision | attendance | record |\n| --- | --- | --- | --- | --- | --- | --- |\n| march 2 | los angeles | 1 - 2 | minnesota | backstrom | 18568 | 37 - 24 - 5 |\n| march 4 | chicago | 4 - 2 | minnesota | backstrom | 18568 | 37 - 25 - 5 |\n| march 6 | minnesota | 2 - 3 | carolina | harding | 16297 | 37 - 26 - 5 |\n| march 7 | minnesota | 2 - 3 | atlanta | backstrom | 18709 | 37 - 26 - 6 |\n| march 9 | san jose | 3 - 2 | minnesota | backstrom | 18568 | 37 - 26 - 7 |\n| march 13 | new jersey | 4 - 3 | minnesota | backstrom | 18568 | 37 - 26 - 8 |\n| march 15 | los angeles | 0 - 2 | minnesota | backstrom | 18568 | 38 - 26 - 8 |\n| march 17 | colorado | 1 - 3 | minnesota | backstrom | 18568 | 39 - 26 - 8 |\n| march 19 | minnesota | 3 - 4 | san jose | backstrom | 17496 | 39 - 26 - 9 |\n| march 21 | minnesota | 2 - 1 | vancouver | backstrom | 18630 | 40 - 26 - 9 |\n| march 22 | minnesota | 4 - 5 | calgary | harding | 19289 | 40 - 27 - 9 |\n| march 24 | minnesota | 3 - 5 | edmonton | harding | 16839 | 40 - 28 - 9 |\n| march 26 | edmonton | 1 - 3 | minnesota | backstrom | 18568 | 41 - 28 - 9 |\n| march 28 | vancouver | 0 - 4 | minnesota | backstrom | 18568 | 42 - 28 - 9 |\n| march 30 | colorado | 2 - 3 | minnesota | backstrom | 18568 | 43 - 28 - 9 |" + }, + { + "from": "human", + "value": "Examine whether the subsequent hypothesis is upheld or contradicted by the given table titled '2007 - 08 minnesota wild season'. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nthe minnesota wild played 15 games in march 2008" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the hypothesis is true. So, the answer is {\"answer\": \"upheld\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title '2007 - 08 minnesota wild season', and determine whether the given claim is entailed or refuted by the table information. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nclaim: attendance was more than 18000 only three times" + }, + { + "from": "gpt", + "value": "According to the table, the claim is refuted by the table information. Therefore, the final answer: {\"answer\": \"refuted\"}." + }, + { + "from": "human", + "value": "claim: the minnesota wild played 9 games at home and 6 away\nJudge whether the above claim is upheld or disputed by the given table named '2007 - 08 minnesota wild season'. The final result should be presented in the JSON format of {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the claim. Hence, the answer is {\"answer\": \"upheld\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title '2007 - 08 minnesota wild season', and determine whether the table substantiates or contradicts the given sentence. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nsentence: minnesota win until march 15" + }, + { + "from": "gpt", + "value": "Based on the table, the sentence can not hold true. Thus, the final answer is {\"answer\": \"contradicts\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_1776", + "image": "table_instructV/images/Rotowire_train_table_143.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Lakers | Los Angeles | 115 | 23 | 32 | 24 | 36 | 17 | 48 | 7 | 39 | 79 | 19 | 1 | 9 | | | | |\n| Warriors | Golden State | 136 | 34 | 40 | 41 | 21 | 32 | 51 | 16 | 54 | 88 | 50 | 8 | 2 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Lakers | | | | | | | | | | | | | | | | | | |\n| Kobe Bryant | 31 | 44 | 5 | 3 | 15-34 | 44% | 3-12 | 25% | 11-16 | 69% | 0 | 2 | 0 | 1 | 4 | 3 | G | Los Angeles |\n| Jordan Hill | 26 | 15 | 11 | 0 | 4-9 | 44% | 0-0 | 0% | 7-9 | 78% | 0 | 1 | 0 | 6 | 5 | 2 | C | Los Angeles |\n| Jordan Clarkson | 19 | 10 | 2 | 1 | 2-6 | 33% | 0-0 | 0% | 6-6 | 100% | 2 | 0 | 0 | 0 | 2 | 1 | N/A | Los Angeles |\n| Robert Sacre | 15 | 10 | 3 | 1 | 5-8 | 63% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 2 | 1 | N/A | Los Angeles |\n| Ed Davis | 26 | 10 | 6 | 2 | 5-10 | 50% | 0-0 | 0% | 0-0 | 0% | 2 | 0 | 3 | 3 | 3 | 3 | N/A | Los Angeles |\n| Xavier Henry | 12 | 8 | 2 | 2 | 1-1 | 100% | 0-0 | 0% | 6-8 | 75% | 0 | 1 | 0 | 1 | 1 | 3 | N/A | Los Angeles |\n| Wesley Johnson | 32 | 6 | 3 | 1 | 3-11 | 27% | 0-3 | 0% | 0-0 | 0% | 1 | 0 | 0 | 2 | 1 | 3 | F | Los Angeles |\n| Carlos Boozer | 21 | 6 | 5 | 1 | 3-13 | 23% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 4 | 4 | F | Los Angeles |\n| Ryan Kelly | 5 | 4 | 3 | 0 | 1-2 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 1 | 2 | 0 | N/A | Los Angeles |\n| Ronnie Price | 31 | 2 | 6 | 5 | 0-3 | 0% | 0-1 | 0% | 2-2 | 100% | 3 | 2 | 0 | 3 | 3 | 5 | N/A | Los Angeles |\n| Jeremy Lin | 22 | 0 | 2 | 1 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 1 | 1 | 2 | G | Los Angeles |\n| Wayne Ellington | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 30 | 30 | 4 | 15 | 10-19 | 53% | 5-9 | 56% | 5-5 | 100% | 1 | 3 | 0 | 0 | 4 | 0 | G | Golden State |\n| Marreese Speights | 20 | 24 | 9 | 0 | 8-11 | 73% | 0-0 | 0% | 8-8 | 100% | 0 | 1 | 0 | 4 | 5 | 3 | N/A | Golden State |\n| Klay Thompson | 29 | 18 | 3 | 3 | 5-11 | 46% | 2-7 | 29% | 6-6 | 100% | 0 | 2 | 3 | 0 | 3 | 3 | G | Golden State |\n| Andrew Bogut | 21 | 15 | 10 | 4 | 7-9 | 78% | 0-0 | 0% | 1-1 | 100% | 0 | 0 | 1 | 0 | 10 | 4 | C | Golden State |\n| Harrison Barnes | 24 | 14 | 2 | 1 | 4-8 | 50% | 2-3 | 67% | 4-5 | 80% | 0 | 0 | 1 | 0 | 2 | 3 | F | Golden State |\n| Draymond Green | 24 | 10 | 8 | 1 | 4-5 | 80% | 2-2 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 8 | 3 | F | Golden State |\n| Andre Iguodala | 21 | 10 | 3 | 1 | 4-6 | 67% | 2-3 | 67% | 0-1 | 0% | 2 | 0 | 0 | 2 | 1 | 0 | N/A | Golden State |\n| Leandro Barbosa | 19 | 4 | 0 | 3 | 1-4 | 25% | 0-1 | 0% | 2-2 | 100% | 1 | 0 | 0 | 0 | 0 | 3 | N/A | Golden State |\n| Shaun Livingston | 18 | 3 | 6 | 4 | 0-4 | 0% | 0-0 | 0% | 3-4 | 75% | 0 | 2 | 0 | 3 | 3 | 1 | N/A | Golden State |\n| Justin Holiday | 9 | 3 | 0 | 0 | 1-4 | 25% | 1-2 | 50% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 2 | N/A | Golden State |\n| Festus Ezeli | 11 | 3 | 3 | 0 | 1-2 | 50% | 0-0 | 0% | 1-2 | 50% | 0 | 3 | 0 | 2 | 1 | 3 | N/A | Golden State |\n| Ognjen Kuzmic | 8 | 2 | 2 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 1 | N/A | Golden State |\n| Brandon Rush | 6 | 0 | 1 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Golden State |" + }, + { + "from": "human", + "value": "The picture contains a table. You task is to identify any merged cells in this table, and output the scope of each merged cell using the JSON format of {'top-left':(X, Y), 'bottom-right':(Z, W)}. The row id and column id should start from 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "Given a table containing data statistics of an NBA basketball game between Lakers and Warriors on 16/11/2014, generate a summary for this game according to the given table." + }, + { + "from": "gpt", + "value": "The Golden State Warriors (8-2) defeated the Los Angeles Lakers (1-9) 136-115 on Sunday. Golden State is on a three-game win streak. They remain without David Lee (hamstring), but Draymond Green has been more than a capable fill-in. Everyone on their roster that was on the team last season is experiencing a new level of success under new coach Steve Kerr and his offensive system that stresses ball movement. Both Stephen Curry and Andrew Bogut finished with double-doubles Sunday. The Warriors get four days off before hosting the Utah Jazz on Friday. Kobe Bryant scored 44 points in 31 minutes. He shot 15-of-34 from the field and 11-of-16 from the free-throw line. Los Angeles shot 39 percent from the field as a team, while Warriors shot 54 percent. The Lakers have lost four straight games, and they start a three-game roadtrip Tuesday in Atlanta against the Hawks." + } + ] + }, + { + "id": "table_instructV_multi_round_1794", + "image": "table_instructV/images/ToTTo_train_table_21751.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| 2010-04-25 D-2 | Montreal Impact | 1–1 | Portland Timbers | Montreal | |\n| --- | --- | --- | --- | --- | --- |\n| 11:00 PDT | Pizzolitto 81' (pen.) | Report | 67' Pore | Stadium: Saputo Stadium Attendance: 13,034 (SO) | |" + }, + { + "from": "human", + "value": "Analyzing this Wikipedia table titled '2010 Portland Timbers season'. It is extracted from a section titled 'April'.\nBased on the table information, craft a sentence that describes the highlighted cells." + }, + { + "from": "gpt", + "value": "In April, the Timbers earned a 1–1 draw with the Montreal Impact." + } + ] + }, + { + "id": "table_instructV_multi_round_1797", + "image": "table_instructV/images/TabFact_2-10910712-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| episode | title | directed by | written by | original airdate |\n| --- | --- | --- | --- | --- |\n| 89 (1) | déjà vu all over again | jon cassar | robert cochran | january 7 , 2001 |\n| 90 (2) | a girl who wasn't there | terry ingram | lawrence hertzog | january 14 , 2001 |\n| 91 (3) | in through the out door | rené bonnière | david wolkove | january 21 , 2001 |\n| 92 (4) | all the world 's a stage | joel surnow | david wolkove | february 4 , 2001 |\n| 93 (5) | the man behind the curtain | rené bonnière | lawrence hertzog | february 11 , 2001 |\n| 94 (6) | the evil that men do | roy dupuis | andy horne & katherine tomlinson | february 18 , 2001 |\n| 95 (7) | let no man put asunder | rené bonnière | lawrence hertzog | february 25 , 2001 |\n| 96 (8) | a time for every purpose | brad turner | michael loceff | march 4 , 2001 |" + }, + { + "from": "human", + "value": "Determine the relationship between the table and the hypothesis, classify it as confirmed or disproved. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nTable title: list of la femme nikita episodes\nhypothesis: two episodes originally aired in march , while four originally aired in january" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the hypothesis is not valid. Hence, the answer is {\"answer\": \"disproved\"}." + }, + { + "from": "human", + "value": "Based on the table image about 'list of la femme nikita episodes' and the subsequent sentence, determine if the table affirms or opposes the subsequent sentence. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nsentence: three more episodes originally aired in february than in march" + }, + { + "from": "gpt", + "value": "Based on the table, the sentence holds true. Thus, the final answer is {\"answer\": \"affirms\"}." + }, + { + "from": "human", + "value": "Examine the table image with the title 'list of la femme nikita episodes', classify whether the statement is confirmed or disputed based on the table's content and title. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nstatement: there were three episodes of the show written by lawrence hertzog" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the statement is valid. Hence, the answer is {\"answer\": \"confirmed\"}." + }, + { + "from": "human", + "value": "Reconstruct the table in the presented picture as an HTML-style table in text." + }, + { + "from": "gpt", + "value": "\n\n\n\n\n\n\n\n\n\n
episode title directed by written by original airdate
89 (1) déjà vu all over again jon cassar robert cochran january 7 , 2001
90 (2) a girl who wasn't there terry ingram lawrence hertzog january 14 , 2001
91 (3) in through the out door rené bonnière david wolkove january 21 , 2001
92 (4) all the world 's a stage joel surnow david wolkove february 4 , 2001
93 (5) the man behind the curtain rené bonnière lawrence hertzog february 11 , 2001
94 (6) the evil that men do roy dupuis andy horne & katherine tomlinson february 18 , 2001
95 (7) let no man put asunder rené bonnière lawrence hertzog february 25 , 2001
96 (8) a time for every purpose brad turner michael loceff march 4 , 2001
" + }, + { + "from": "human", + "value": "Table title: list of la femme nikita episodes\nsentence: david wolkove wrote three episodes of the show\nPlease distinguish whether the above sentence is substantiated or challenged by the table information. The final result should be presented in the JSON format of {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the sentence is false. So, the answer is {\"answer\": \"challenged\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_1851", + "image": "table_instructV/images/TAT-QA_820fb984-4531-45a3-8ad2-11b5a2cb48c7.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | Fiscal Year | Fiscal Year |\n| --- | --- | --- |\n| | 2019 | 2018 |\n| Audit fees | $55,000 | $54,550 |\n| Audit-related fees | $- | $- |\n| Tax Fees | $- | $- |\n| All other fees | - | $- |\n| Total | 55,000 | $54,550 |" + }, + { + "from": "human", + "value": "Refer to the table to answer the subsequent question accurately. The concluding answer should be in the JSON structure, formatted as {\"answer\": []}. For instance, {\"answer\": [\"23\", \"14.5\"]}.\nWhat is the percentage change in audit fees between 2018 and 2019?" + }, + { + "from": "gpt", + "value": "Using the number listed in the table, we have the following computations: (55000 - 54550)/54550 = 0.82\n\nAs a result, the final answer is {\"answer\": [\"0.82\"]}." + }, + { + "from": "human", + "value": "What is the change in audit fees between 2018 and 2019?\nCarefully answer the question according to the table. Present the final answer in a JSON format {\"answer\": []}." + }, + { + "from": "gpt", + "value": "To answer the given question, we need to conduct the following computations:\n55000 - 54550 = 450\nTherefore, the final answer is {\"answer\": [\"450\"]}." + }, + { + "from": "human", + "value": "I need to know the count of rows and columns in this specific table. Output the final answer as JSON in the format {\"row_number\": \"m\", \"column_number\": \"n\"}." + }, + { + "from": "gpt", + "value": "There are 7 rows and 3 columns in the table. So, the final answer is {\"row_number\": \"7\", \"column_number\": \"3\"}." + }, + { + "from": "human", + "value": "Please provide a concise answer to the question below based on the table. The final result should be presented in the JSON format of {\"answer\": []} like {\"answer\": [\"emotional abuse\", \"July\"]}.\nWhich year has the higher audit fees?" + }, + { + "from": "gpt", + "value": "Based on the table information, the answer is {\"answer\": [\"2019\"]}." + } + ] + }, + { + "id": "table_instructV_multi_round_1853", + "image": "table_instructV/images/TabFact_1-1547951-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| outcome | year | championship | surface | partner | opponents | score |\n| --- | --- | --- | --- | --- | --- | --- |\n| winner | 1990 | us open | hard | elizabeth sayers smylie | jim pugh natasha zvereva | 6 - 4 , 6 - 2 |\n| runner - up | 1992 | australian open | hard | arantxa sánchez vicario | mark woodforde nicole provis | 3 - 6 , 6 - 4 , 9 - 11 |\n| winner | 1992 | french open | clay | arantxa sánchez vicario | bryan shelton lori mcneil | 6 - 2 , 6 - 3 |\n| winner | 1993 | australian open | hard | arantxa sánchez vicario | rick leach zina garrison | 7 - 5 , 6 - 4 |\n| winner | 1993 | us open | hard | helena suková | mark woodforde martina navratilova | 6 - 3 , 7 - 6 |\n| runner - up | 1994 | australian open | hard | helena suková | andrei olhovskiy larisa savchenko neiland | 5 - 7 , 7 - 6 (9 - 7) , 2 - 6 |\n| winner | 1994 | wimbledon | grass | helena suková | t j middleton lori mcneil | 3 - 6 , 7 - 5 , 6 - 3 |\n| runner - up | 1994 | us open | hard | jana novotná | patrick galbraith elna reinach | 2 - 6 , 4 - 6 |\n| winner | 1995 | french open | clay | larisa savchenko | john - laffnie de jager jill hetherington | 7 - 6 (10 - 8) , 7 - 6 (7 - 4) |\n| runner - up | 2000 | australian open | hard | arantxa sánchez vicario | jared palmer rennae stubbs | 5 - 7 , 6 - 7 (3 - 7) |\n| runner - up | 2000 | french open | clay | rennae stubbs | david adams mariaan de swardt | 3 - 6 , 6 - 3 , 3 - 6 |\n| winner | 2001 | us open | hard | rennae stubbs | leander paes lisa raymond | 6 - 4 , 5 - 7 , 7 - 6 |\n| runner - up | 2003 | australian open | hard | eleni daniilidou | leander paes martina navrátilová | 4 - 6 , 5 - 7 |\n| runner - up | 2004 | wimbledon | grass | alicia molik | wayne black cara black | 6 - 3 , 6 - 7 , 4 - 6 |" + }, + { + "from": "human", + "value": "Please read the table in this image and return an HTML-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
outcome year championship surface partner opponents score
winner 1990 us open hard elizabeth sayers smylie jim pugh natasha zvereva 6 - 4 , 6 - 2
runner - up 1992 australian open hard arantxa sánchez vicario mark woodforde nicole provis 3 - 6 , 6 - 4 , 9 - 11
winner 1992 french open clay arantxa sánchez vicario bryan shelton lori mcneil 6 - 2 , 6 - 3
winner 1993 australian open hard arantxa sánchez vicario rick leach zina garrison 7 - 5 , 6 - 4
winner 1993 us open hard helena suková mark woodforde martina navratilova 6 - 3 , 7 - 6
runner - up 1994 australian open hard helena suková andrei olhovskiy larisa savchenko neiland 5 - 7 , 7 - 6 (9 - 7) , 2 - 6
winner 1994 wimbledon grass helena suková t j middleton lori mcneil 3 - 6 , 7 - 5 , 6 - 3
runner - up 1994 us open hard jana novotná patrick galbraith elna reinach 2 - 6 , 4 - 6
winner 1995 french open clay larisa savchenko john - laffnie de jager jill hetherington 7 - 6 (10 - 8) , 7 - 6 (7 - 4)
runner - up 2000 australian open hard arantxa sánchez vicario jared palmer rennae stubbs 5 - 7 , 6 - 7 (3 - 7)
runner - up 2000 french open clay rennae stubbs david adams mariaan de swardt 3 - 6 , 6 - 3 , 3 - 6
winner 2001 us open hard rennae stubbs leander paes lisa raymond 6 - 4 , 5 - 7 , 7 - 6
runner - up 2003 australian open hard eleni daniilidou leander paes martina navrátilová 4 - 6 , 5 - 7
runner - up 2004 wimbledon grass alicia molik wayne black cara black 6 - 3 , 6 - 7 , 4 - 6
" + }, + { + "from": "human", + "value": "Based on the table titled 'todd woodbridge' and the subsequent hypothesis, determine if the hypothesis is entailed or disputed by the table. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nhypothesis: of the fourteen championship 's todd woodbridge won seven and was runner - up in seven" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the hypothesis is valid. Hence, the answer is {\"answer\": \"entailed\"}." + }, + { + "from": "human", + "value": "Analyze the table picture about 'todd woodbridge' and classify whether the next hypothesis is upheld or disputed by the table. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\n\ntodd woodbridge won the first two us open championships in 1990 and 1993" + }, + { + "from": "gpt", + "value": "According to the table, the hypothesis is upheld by the table information. Therefore, the final answer: {\"answer\": \"upheld\"}." + }, + { + "from": "human", + "value": "Examine the table shown in the picture and generate a latex text representation of the table." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|c|c|}\n\\hline\n outcome & year & championship & surface & partner & opponents & score \\\\\n\\hline\n winner & 1990 & us open & hard & elizabeth sayers smylie & jim pugh natasha zvereva & 6 - 4 , 6 - 2 \\\\\n\\hline\n runner - up & 1992 & australian open & hard & arantxa sánchez vicario & mark woodforde nicole provis & 3 - 6 , 6 - 4 , 9 - 11 \\\\\n\\hline\n winner & 1992 & french open & clay & arantxa sánchez vicario & bryan shelton lori mcneil & 6 - 2 , 6 - 3 \\\\\n\\hline\n winner & 1993 & australian open & hard & arantxa sánchez vicario & rick leach zina garrison & 7 - 5 , 6 - 4 \\\\\n\\hline\n winner & 1993 & us open & hard & helena suková & mark woodforde martina navratilova & 6 - 3 , 7 - 6 \\\\\n\\hline\n runner - up & 1994 & australian open & hard & helena suková & andrei olhovskiy larisa savchenko neiland & 5 - 7 , 7 - 6 (9 - 7) , 2 - 6 \\\\\n\\hline\n winner & 1994 & wimbledon & grass & helena suková & t j middleton lori mcneil & 3 - 6 , 7 - 5 , 6 - 3 \\\\\n\\hline\n runner - up & 1994 & us open & hard & jana novotná & patrick galbraith elna reinach & 2 - 6 , 4 - 6 \\\\\n\\hline\n winner & 1995 & french open & clay & larisa savchenko & john - laffnie de jager jill hetherington & 7 - 6 (10 - 8) , 7 - 6 (7 - 4) \\\\\n\\hline\n runner - up & 2000 & australian open & hard & arantxa sánchez vicario & jared palmer rennae stubbs & 5 - 7 , 6 - 7 (3 - 7) \\\\\n\\hline\n runner - up & 2000 & french open & clay & rennae stubbs & david adams mariaan de swardt & 3 - 6 , 6 - 3 , 3 - 6 \\\\\n\\hline\n winner & 2001 & us open & hard & rennae stubbs & leander paes lisa raymond & 6 - 4 , 5 - 7 , 7 - 6 \\\\\n\\hline\n runner - up & 2003 & australian open & hard & eleni daniilidou & leander paes martina navrátilová & 4 - 6 , 5 - 7 \\\\\n\\hline\n runner - up & 2004 & wimbledon & grass & alicia molik & wayne black cara black & 6 - 3 , 6 - 7 , 4 - 6 \\\\\n\\hline\n\\end{tabular}" + } + ] + }, + { + "id": "table_instructV_multi_round_1876", + "image": "table_instructV/images/TabFact_1-19288592-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| currency bracket : | dollars taxed in bracket : | rate : | taxes from bracket : | after tax income : | percentage of income kept : |\n| --- | --- | --- | --- | --- | --- |\n| 1 40000 | 40000 | 15% | 6000 | 34000 | 85% |\n| 40000 - 100000 | 60000 | 35% | 21000 | 34000 + 39000 = 73000 | 73% |\n| 100000 - 175000 | 75000 | 50% | 37500 | 73000 + 37500 = 110500 | 63% |\n| 175 , 000 - 250000 | 75000 | 60% | 45000 | 110500 + 30000 = 140500 | 56% |\n| 250000 - 500000 | 250000 | 75% | 187500 | 140500 + 62000 = 203000 | 40.6% |" + }, + { + "from": "human", + "value": "Examine the table titled 'none' and judge whether the table entails or conflicts with the following sentence. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nthe tax from the 35 - percent - rate bracket was 21000" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the sentence. Consequently, the answer is {\"answer\": \"entails\"}." + }, + { + "from": "human", + "value": "Determine the relationship between the table and the claim, classify it as upheld or disputed. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nTable title: none\nclaim: the 40.6% after tax income is 110500 + 30000 = 140500" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the claim is false. So, the answer is {\"answer\": \"disputed\"}." + }, + { + "from": "human", + "value": "Based on the table titled 'none' and the subsequent claim, determine if the claim is affirmed or disputed by the table. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nclaim: after tax income on 250000 is 140500 + 62000 = 203000 , and 40.6% of income is kept" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the claim is true. So, the answer is {\"answer\": \"affirmed\"}." + }, + { + "from": "human", + "value": "In this task, you are given a table with its title 'none', your goal is to distinguish whether this table supports or disputes the claim. Output the final answer as JSON in the format {\"answer\": \"\"}.\nthe taxes from bracket is 21000 , the percentage of income kept was above 73%" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it disputes the claim. Hence, the answer is {\"answer\": \"disputes\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_1952", + "image": "table_instructV/images/TabFact_2-1286819-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| name | tour | giro | vuelta | total |\n| --- | --- | --- | --- | --- |\n| jacques anquetil ( fra ) | 6 | 6 | 1 | 13 |\n| bernard hinault ( fra ) | 7 | 3 | 2 | 12 |\n| eddy merckx ( bel ) | 6 | 5 | 1 | 12 |\n| felice gimondi ( ita ) | 2 | 9 | 1 | 12 |\n| miguel induráin ( esp ) | 5 | 3 | 1 | 9 |\n| laurent fignon ( fra ) | 3 | 2 | 1 | 6 |\n| carlos sastre ( esp ) | 2 | 1 | 3 | 6 |\n| tony rominger ( sui ) | 1 | 1 | 4 | 6 |\n| alberto contador ( esp ) | 2 | 1 | 2 | 5 |\n| cadel evans ( aus ) | 3 | 1 | 1 | 5 |\n| denis menchov ( rus ) | 2 | 1 | 2 | 5 |\n| vincenzo nibali ( ita ) | 1 | 3 | 1 | 5 |\n| jose manuel fuente ( esp ) | 1 | 1 | 2 | 4 |\n| joaquim rodríguez ( esp ) | 1 | 1 | 2 | 4 |\n| herman van springel ( bel ) | 1 | 1 | 1 | 3 |" + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following sentence is confirmed or disproved by the table. Show your final answer in the JSON format {\"answer\": \"\"}.\ntable title:grand tour (cycling)\nsentence: russia has the least number of grand tour wins of any country on this list" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the sentence. Hence, the answer is {\"answer\": \"confirmed\"}." + }, + { + "from": "human", + "value": "Table title: grand tour (cycling)\nsentence: russia has the second highest number of grand tour wins of any country on this list\nPlease distinguish whether the above sentence is substantiated or disputed by the table information. Format your final answer as a JSON, using the structure {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "Based on the table information, the sentence is not true. Thus, the answer is {\"answer\": \"disputed\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title 'grand tour (cycling)', and determine whether the table confirms or challenges the given sentence. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nsentence: felice gimondi has the most tour de france wins of any belgian" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table challenges the validity of the sentence. Therefore, the final answer: {\"answer\": \"challenges\"}." + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following sentence is upheld or refuted by the table. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\ntable title:grand tour (cycling)\nsentence: eddy merckx has the most tour de france wins of any belgian" + }, + { + "from": "gpt", + "value": "According to the table, the sentence is upheld by the table information. Therefore, the final answer: {\"answer\": \"upheld\"}." + }, + { + "from": "human", + "value": "Given a table image, please tell me which table cells are merged cells. Return the merged cell regions in the JSON format of {'top-left':(x, y), 'bottom-right':(z, w)}, where (x, y) and (z, w) represent the (row_id, column_id) coordinates of top-left cell and bottom-right cell, respectively. The row_id and column_id are numberd from 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + } + ] + }, + { + "id": "table_instructV_multi_round_1981", + "image": "table_instructV/images/TabFact_2-16346726-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| institution | nickname | location | founded | years in the acc | school type | enrollment |\n| --- | --- | --- | --- | --- | --- | --- |\n| boston college | eagles | chestnut hill , massachusetts | 1863 | 2005 - present | private / catholic ( jesuit ) | 14500 |\n| clemson | tigers | clemson , south carolina | 1889 | 1953 - present | public | 17165 |\n| duke | blue devils | durham , north carolina | 1838 | 1953 - present | private / nonsectarian | 6247 |\n| florida state | seminoles | tallahassee , florida | 1851 | 1991 - present | public ( state university system of florida ) | 38886 |\n| georgia tech | yellow jackets | atlanta , georgia | 1885 | 1978 - present | public ( university system of georgia ) | 19393 |\n| maryland | terrapins | college park , maryland | 1856 | 1953 - present | public ( university system of maryland ) | 35329 |\n| miami | hurricanes | coral gables , florida | 1925 | 2004 - present | private / nonsectarian | 15520 |\n| north carolina | tar heels | chapel hill , north carolina | 1789 | 1953 - present | public ( university of north carolina ) | 26878 |\n| nc state | wolfpack | raleigh , north carolina | 1887 | 1953 - present | public ( university of north carolina ) | 29957 |\n| notre dame | fighting irish | south bend , indiana | 1842 | 2013 | private / catholic ( congregation of holy cross ) | 11733 |\n| pittsburgh | panthers | pittsburgh , pennsylvania | 1787 | 2013 | state - related / nonsectarian | 28823 |\n| syracuse | orange | syracuse , new york | 1870 | 2013 | private / nonsectarian | 20407 |\n| virginia | cavaliers | charlottesville , virginia | 1819 | 1953 - present | public | 20399 |\n| virginia tech | hokies | blacksburg , virginia | 1872 | 2004 - present | public | 28000 |\n| wake forest | demon deacons | winston - salem , north carolina | 1834 | 1953 - present | private / nonsectarian | 6451 |" + }, + { + "from": "human", + "value": "According to the table information regarding 'atlantic coast conference men 's basketball', tell me whether the provided table confirms or disputes the hypothesis. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nthe maryland terrapins are located in college park , maryland and were founded in 1856" + }, + { + "from": "gpt", + "value": "Based on the table, the hypothesis holds true. Thus, the final answer is {\"answer\": \"confirms\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_2013", + "image": "table_instructV/images/Rotowire_train_table_85.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hornets | Charlotte | 90 | 22 | 30 | 24 | 14 | 20 | 38 | 11 | 41 | 76 | 20 | 9 | 7 | | | | |\n| Cavaliers | Cleveland | 95 | 23 | 27 | 22 | 23 | 17 | 50 | 16 | 42 | 76 | 32 | 12 | 4 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Kemba Walker | 35 | 18 | 4 | 4 | 6-16 | 38% | 1-4 | 25% | 5-5 | 100% | 3 | 3 | 2 | 1 | 3 | 0 | G | Charlotte |\n| Nicolas Batum | 39 | 17 | 8 | 4 | 6-13 | 46% | 1-7 | 14% | 4-5 | 80% | 1 | 3 | 0 | 2 | 6 | 2 | G | Charlotte |\n| Al Jefferson | 31 | 11 | 6 | 1 | 5-12 | 42% | 0-0 | 0% | 1-2 | 50% | 1 | 0 | 1 | 1 | 5 | 1 | C | Charlotte |\n| Jeremy Lamb | 24 | 11 | 8 | 0 | 5-12 | 42% | 0-2 | 0% | 1-3 | 33% | 0 | 1 | 1 | 1 | 7 | 2 | N/A | Charlotte |\n| Marvin Williams | 33 | 10 | 2 | 3 | 3-8 | 38% | 2-6 | 33% | 2-2 | 100% | 0 | 0 | 2 | 1 | 1 | 5 | F | Charlotte |\n| Jeremy Lin | 20 | 7 | 4 | 4 | 3-6 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 2 | 0 | 0 | 4 | 2 | N/A | Charlotte |\n| Cody Zeller | 15 | 7 | 2 | 1 | 1-2 | 50% | 0-0 | 0% | 5-6 | 83% | 1 | 1 | 1 | 0 | 2 | 4 | N/A | Charlotte |\n| Spencer Hawes | 5 | 4 | 0 | 1 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Charlotte |\n| Frank Kaminsky | 19 | 3 | 2 | 1 | 1-4 | 25% | 0-1 | 0% | 1-2 | 50% | 0 | 1 | 0 | 1 | 1 | 3 | N/A | Charlotte |\n| PJ Hairston | 19 | 2 | 2 | 1 | 1-5 | 20% | 0-3 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 2 | 4 | F | Charlotte |\n| Tyler Hansbrough | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Brian Roberts | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Troy Daniels | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Cavaliers | | | | | | | | | | | | | | | | | | |\n| LeBron James | 38 | 25 | 13 | 5 | 8-20 | 40% | 2-5 | 40% | 7-9 | 78% | 0 | 3 | 0 | 2 | 11 | 2 | F | Cleveland |\n| Kevin Love | 30 | 18 | 16 | 1 | 7-12 | 58% | 2-3 | 67% | 2-2 | 100% | 0 | 2 | 0 | 4 | 12 | 0 | F | Cleveland |\n| Richard Jefferson | 30 | 13 | 1 | 1 | 4-8 | 50% | 2-5 | 40% | 3-6 | 50% | 0 | 1 | 0 | 0 | 1 | 2 | N/A | Cleveland |\n| JR Smith | 31 | 11 | 3 | 1 | 4-10 | 40% | 1-5 | 20% | 2-2 | 100% | 1 | 1 | 0 | 1 | 2 | 4 | G | Cleveland |\n| Timofey Mozgov | 18 | 8 | 3 | 0 | 3-9 | 33% | 0-0 | 0% | 2-2 | 100% | 1 | 3 | 0 | 2 | 1 | 1 | C | Cleveland |\n| Tristan Thompson | 30 | 7 | 12 | 1 | 3-7 | 43% | 0-0 | 0% | 1-2 | 50% | 1 | 3 | 0 | 3 | 9 | 5 | N/A | Cleveland |\n| Matthew Dellavedova | 33 | 7 | 1 | 5 | 2-7 | 29% | 1-4 | 25% | 2-2 | 100% | 0 | 0 | 1 | 0 | 1 | 3 | N/A | Cleveland |\n| Mo Williams | 21 | 6 | 1 | 3 | 3-4 | 75% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 1 | 0 | 1 | 4 | G | Cleveland |\n| Jared Cunningham | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Cleveland |\n| James Jones | 8 | 0 | 0 | 0 | 0-4 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Cleveland |\n| Sasha Kaun | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Joe Harris | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Anderson Varejao | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |" + }, + { + "from": "human", + "value": "Examine the tables showing the statistics of an NBA basketball game played by Hornets and Cavaliers on 11/27/2015. Use the information to compose an in-depth summary of the game's events." + }, + { + "from": "gpt", + "value": "The Cleveland Cavaliers (12-4) defeated the Charlotte Hornets (9-7) 95-90 on Friday. The Hornets have been playing some of the best basketball in the NBA right now, but the Cavaliers are simply better. Cleveland outscored the Hornets 23-14 in the final 12 minutes and they closed out the game like the winners they are. Both teams shot exactly 42 percent from the field and 76 percent from the free-throw line. The big difference was the rebounding, as Cleveland snatched 50 boards to the Hornets 38. Cleveland did n't play their best game on Friday, but they escaped with a very impressive win. LeBron James and Kevin Love carried the load like they have been all season and they 're becoming one of the best tandems in the NBA right now. James tallied 25 points, 13 rebounds and five assists while Love amassed 18 points and 16 rebounds in the victory. They also got Timofey Mozgov back in this game from a shoulder injury and Tristan Thompson came off the bench to record yet another double-double. This has to be a satisfying win for King James, to beat a scorching-hot Charlotte team in front of Michael Jordan in their home building. The Cavs will look to keep up this nice run against the Brooklyn Nets on Saturday. The Hornets had their four-game winning streak snapped in this loss, but it was n't for a lack of effort. In fact, Charlotte dominated the hustle stats as they committed 14 combined blocks and steals to the Cavs five. The Hornets were led by Kemba Walker and Nicolas Batum in the defeat. Walker tallied 18 points, four rebounds, four assists, three steals and two blocks while Batum totaled 17 points, eight rebounds and four assists in the loss. This still goes down as a loss, but it 's a message for the rest of the league that they can compete with anybody on any night. Charlotte will look to start a new winning streak against the struggling Milwaukee Bucks on Sunday." + }, + { + "from": "human", + "value": "Give you some cell positions and a table image, extract the corresponding cell values in these positions:\nthe 27th row and the 3rd column\nthe 3rd row and the 15th column\nthe 14th row and the 14th column\nthe 26th row and the 5th column\nthe 33th row and the 15th column\nthe 24th row and the 19th column\nthe 24th row and the 15th column\n\nReturn each cell value as JSON in the format {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"\"}." + }, + { + "from": "gpt", + "value": "The extracted cell contents are listed below.\n{\"row_id\":\"27\", \"column_id\":\"3\", \"cell_value\":\"7\"}\n{\"row_id\":\"3\", \"column_id\":\"15\", \"cell_value\":\"4\"}\n{\"row_id\":\"14\", \"column_id\":\"14\", \"cell_value\":\"0\"}\n{\"row_id\":\"26\", \"column_id\":\"5\", \"cell_value\":\"1\"}\n{\"row_id\":\"33\", \"column_id\":\"15\", \"cell_value\":\"N/A\"}\n{\"row_id\":\"24\", \"column_id\":\"19\", \"cell_value\":\"Cleveland\"}\n{\"row_id\":\"24\", \"column_id\":\"15\", \"cell_value\":\"1\"}" + } + ] + }, + { + "id": "table_instructV_multi_round_2106", + "image": "table_instructV/images/TabFact_2-11822854-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| date | score | set 1 | set 2 | set 3 | total |\n| --- | --- | --- | --- | --- | --- |\n| 02 oct | 3 - 0 | 15 - 0 | 15 - 4 | 15 - 8 | 45 - 12 |\n| 02 oct | 3 - 2 | 13 - 15 | 15 - 6 | 12 - 15 | 71 - 61 |\n| 03 oct | 3 - 0 | 15 - 5 | 15 - 5 | 15 - 2 | 45 - 12 |\n| 03 oct | 3 - 0 | 15 - 11 | 15 - 12 | 16 - 14 | 46 - 37 |\n| 04 oct | 3 - 0 | 15 - 1 | 15 - 1 | 15 - 5 | 45 - 7 |\n| 04 oct | 3 - 0 | 15 - 7 | 15 - 5 | 15 - 3 | 45 - 15 |" + }, + { + "from": "human", + "value": "Examine the table titled '1982 fivb volleyball men 's world championship' and judge whether the table substantiates or disproves the following claim. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nthe game with a total of 45 - 12 includes a second set with a score of 15 - 5 that was followed by a third set of 15 - 2" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it substantiates the claim. Hence, the answer is {\"answer\": \"substantiates\"}." + }, + { + "from": "human", + "value": "This is a table named '1982 fivb volleyball men 's world championship', please determine whether the given claim is supported or opposed by the table information. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\non 04 oct , set 1 was 15 - 1" + }, + { + "from": "gpt", + "value": "According to the table, the claim is supported by the table information. Therefore, the final answer: {\"answer\": \"supported\"}." + }, + { + "from": "human", + "value": "This is a table named '1982 fivb volleyball men 's world championship', please determine whether the given claim is entailed or opposed by the table information. Show your final answer in the JSON format {\"answer\": \"\"}.\n15 - 3 is the total with a date of 04 / oct , and a set 2 with 15 - 5" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the claim is not valid. Hence, the answer is {\"answer\": \"opposed\"}." + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following hypothesis is upheld or challenged by the table. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\ntable title:1982 fivb volleyball men 's world championship\nhypothesis: 12 - 15 is the set 2 with a set 3 with 15 - 6" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the hypothesis is false. So, the answer is {\"answer\": \"challenged\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_2224", + "image": "table_instructV/images/TAT-QA_e3462c1a-1e69-4a4a-b9e1-b65898926335.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| | | Years Ended December 31, | |\n| --- | --- | --- | --- |\n| (In thousands) | 2019 | 2018 | 2017 |\n| Cash flows provided by (used in): | | | |\n| Operating activities | $ 339,096 | $ 357,321 | $ 210,027 |\n| Investing activities | (217,819) | (221,459) | (1,042,711) |\n| Financing activities | (118,481) | (141,920) | 821,264 |\n| Increase (decrease) in cash and cash equivalents | $ 2,796 | $ (6,058) | $ (11,420) |" + }, + { + "from": "human", + "value": "Given a table image and a set of target cells, your task is to identify their positions. Represent each cell's location as JSON in the format {'value': '', 'location': (Row_ID, Column_ID)}, with both row and column IDs begin from 1.\nRefer to the values below:\nCELL VALUE 1: '$ (11,420)',\nCELL VALUE 2: '2018',\nCELL VALUE 3: 'Operating activities',\n\nShould a cell be absent in the table, denote its location as 'DOES NOT EXIST'. " + }, + { + "from": "gpt", + "value": "The coordinates of target cells are listed below.\nCELL LOCATION 1: {'value': '$ (11,420)', 'location': (7, 4)}\nCELL LOCATION 2: {'value': '2018', 'location': (2, 3)}\nCELL LOCATION 3: {'value': 'Operating activities', 'location': (4, 1)}" + }, + { + "from": "human", + "value": "Given the table, answer the following question in detail. Return the final result as JSON in the format {\"answer\": []}.\nWhat was the percentage increase / (decrease) in the Increase (decrease) in cash and cash equivalents from 2018 to 2019?" + }, + { + "from": "gpt", + "value": "Based on the given table:\n2796 / -6058 - 1 = -146.15\nTherefore, the answer is {\"answer\": [\"-146.15\"]}." + }, + { + "from": "human", + "value": "Given the table, answer the following question briefly. Besides, your final answer should be in the JSON format {\"answer\": []} such as {\"answer\": [\"87.56\", \"12.43\"]}.\nWhat was the cash flow provided by investing activities in 2019?" + }, + { + "from": "gpt", + "value": "Based on the table information, the answer is {\"answer\": [\"(217,819)\"]}." + }, + { + "from": "human", + "value": "View the excel table and provide a succinct reply to the question presented. The final result should be presented in the JSON format of {\"answer\": []} like {\"answer\": [\"emotional abuse\", \"July\"]}.\n\nWhat was the cash flow from operating activities in 2019?" + }, + { + "from": "gpt", + "value": "According to the table, the final answer is {\"answer\": [\"$ 339,096\"]}." + }, + { + "from": "human", + "value": "Answer the following question based on this table. The final result should be presented in the JSON format of {\"answer\": []} like {\"answer\": [\"emotional abuse\", \"July\"]}.\nWhat was the increase / (decrease) in the cash flow from operating activities from 2018 to 2019?" + }, + { + "from": "gpt", + "value": "Based on the table, we need to conduct the following computations:\n339096 - 357321 = -18225\nTherefore, the final answer: {\"answer\": [\"-18225\"]}." + }, + { + "from": "human", + "value": "What are the cells' values in the following position in the table?\nrow 5\n\nShow the cells in a row in the JSON format {\"row_id\":\"\", \"cell_list\":\"\"}. For example, {\"row_id\":\"1\", \"cell_list\": [\"A\", \"B\", \"C\"]}." + }, + { + "from": "gpt", + "value": "The cells in row 5: {\"row_id\": \"5\", \"cell_list\": ['Investing activities', '(217,819)', '(221,459)', '(1,042,711)']}" + }, + { + "from": "human", + "value": "Please inspect the table image and then provide an answer to the next question. Present the final answer as JSON in the format {\"answer\": []}.\nWhat was the average cash flow from investing activities for 2017-2019?" + }, + { + "from": "gpt", + "value": "According to this table, we have the following calculations: -(217819 + 221459 + 1042711) / 3 = -493996.33.\nThus, the answer is {\"answer\": [\"-493996.33\"]}." + } + ] + }, + { + "id": "table_instructV_multi_round_2230", + "image": "table_instructV/images/TABMWP_32591.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Number of branches | Number of flowers |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | 20 |\n| 5 | ? |" + }, + { + "from": "human", + "value": "Solve the math problem below using the information from the table. Detail each step. Present the final answer in a JSON format, outlined as {\"answer\": \"\"}.\n\nEach branch has 5 flowers. How many flowers are on 5 branches?" + }, + { + "from": "gpt", + "value": "Count by fives. Use the chart: there are 25 flowers on 5 branches.\n\nTherefore, the final answer is {\"answer\": \"25\"}." + }, + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the HTML-format in text." + }, + { + "from": "gpt", + "value": "\n\n\n\n\n\n\n
Number of branches Number of flowers
1 5
2 10
3 15
4 20
5 ?
" + } + ] + }, + { + "id": "table_instructV_multi_round_2256", + "image": "table_instructV/images/TabFact_2-18963089-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| wrestlers | reign | days held | location | event |\n| --- | --- | --- | --- | --- |\n| erin angel | 1 | 111 | eastleigh , hampshire | a night of champions |\n| vacated | - | - | - | - |\n| eden black | 1 | 302 | horndean , portsmouth | summer brawl 2006 |\n| wesna | 1 | 392 | live event | a night of champions |\n| sweet saraya | 1 | 225 | vienna , austria | wrestling weltmeisterschaft |\n| jetta | 1 | 300 | great yarmouth , norfolk | waw 15th anniversary |\n| britani knight | 1 | 700 | takeley , essex | hew final fight : the christmas spectacular |\n| queen maya | 1 | 491 | costessey , norfolk | bellatrix 2 |\n| liberty | 1 | 196 | norwich , norfolk | bellatrix 5 |\n| sammi baynz | 1 | 118 | norwich , norfolk | bellatrix 7 - bellatrix vs shimmer |" + }, + { + "from": "human", + "value": "In this table image, can you identify any merged cells and provide their locations in the JSON format of {'top-left':(X, Y), 'bottom-right':(Z, W)}, where (X, Y) is the top-left and (Z, W) is the bottom-right cell coordinates? Cell coordinates start from (1,1)." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title 'rqw women 's championship', and determine whether the table entails or disputes the given hypothesis. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nhypothesis: 305 days held has 1 as the reign with eden black as the wrestlers" + }, + { + "from": "gpt", + "value": "Based on the table, the hypothesis can not hold true. Thus, the final answer is {\"answer\": \"disputes\"}." + }, + { + "from": "human", + "value": "Examine whether the table affirms or refutes the subsequent statement. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\ntable title: 'rqw women 's championship'\nstatement: wrestler eden black held reign for 302 days" + }, + { + "from": "gpt", + "value": "Based on the table, the statement holds true. Thus, the final answer is {\"answer\": \"affirms\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title 'rqw women 's championship', and determine whether the given sentence is supported or disputed by the table information. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nsentence: eastleigh , hampshire held reign for 111 days" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the sentence. Hence, the answer is {\"answer\": \"supported\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_2311", + "image": "table_instructV/images/TabFact_2-11346282-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| tournament | winner | runner - up | score | third place |\n| --- | --- | --- | --- | --- |\n| brussel | john mcenroe | guy forget | 6 - 2 , 6 - 7 (12) | filip dewulf |\n| algarve | michael stich | john mcenroe | 6 - 4 , 6 - 0 | jeremy bates |\n| graz | boris becker | mats wilander | 7 - 5. 6 - 0 | thomas muster |\n| paris | guy forget | guillaume raoux | 6 - 1 , 6 - 2 | yannick noah |\n| eindhoven | john mcenroe | petr korda | 2 - 6 , 6 - 3 | jan siemerink |\n| monte carlo | john mcenroe | petr korda | 6 - 2 , 6 - 2 | thomas muster |\n| london | john mcenroe | guy forget | 7 - 6 , 6 - 2 | none |" + }, + { + "from": "human", + "value": "Examine whether the table supports or conflicts with the subsequent hypothesis. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\ntable title: 'atp champions tour'\nhypothesis: thomas muster , jan siemerink , and yannick noah were in third place and were not a winner or runner - up" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it supports the hypothesis. Hence, the answer is {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following sentence is confirmed or challenged by the table. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\ntable title:atp champions tour\nsentence: for the brussel tournament , john mcenroe was the winner , but for the graz tournament , boris becker was the winner" + }, + { + "from": "gpt", + "value": "Based on the table information, the sentence is true. Thus, the answer is {\"answer\": \"confirmed\"}." + }, + { + "from": "human", + "value": "Analyze the table picture about 'atp champions tour' and classify whether the next sentence is confirmed or disproved by the table. The final result should be presented in the JSON format of {\"answer\": \"\"}.\n\nguy forget was the winner for the london tournament , the runner - up for the paris tournament , and runner up for the monte carlo tournament" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the sentence is not valid. Hence, the answer is {\"answer\": \"disproved\"}." + }, + { + "from": "human", + "value": "Examine the table with the caption 'atp champions tour', classify whether the provided table entails or conflicts with the claim. Output the final answer as JSON in the format {\"answer\": \"\"}.\nclaim: petr korda , jan siemerink , and thomas muster were in third place and were not a winner or runner up" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it conflicts with the claim. Hence, the answer is {\"answer\": \"conflicts with\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_2320", + "image": "table_instructV/images/TabFact_1-29332810-14.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| stage | winner | general classification | mountains classification | sprint classification | young rider classification | team classification | aggressive rider |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | matthew goss | matthew goss | luke roberts | matthew goss | matthew goss | team sky | simon clarke |\n| 2 | ben swift | robbie mcewen | luke roberts | mitchell docker | matthew goss | team sky | yuriy krivtsov |\n| 3 | michael matthews | matthew goss | luke roberts | matthew goss | matthew goss | team sky | luke durbridge |\n| 4 | cameron meyer | cameron meyer | luke roberts | thomas de gendt | cameron meyer | garmin - cervãlo | thomas de gendt |\n| 5 | francisco ventoso | cameron meyer | luke roberts | matthew goss | cameron meyer | movistar team | richie porte |\n| 6 | ben swift | cameron meyer | luke roberts | matthew goss | cameron meyer | movistar team | stuart o'grady |" + }, + { + "from": "human", + "value": "Analyze the table's content, including its title '2011 tour down under', and determine whether the table supports or disputes the given claim. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nclaim: luke roberts is the most frequently listed team member with the general classification" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the claim is false. Consequently, the answer is {\"answer\": \"disputes\"}." + }, + { + "from": "human", + "value": "statement: cameron meyer is the most frequently listed team member with the general classification\nJudge whether the above statement is affirmed or challenged by the given table named '2011 tour down under'. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}." + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the statement is valid. Hence, the answer is {\"answer\": \"affirmed\"}." + }, + { + "from": "human", + "value": "This is a table image titled '2011 tour down under', help me determine if the table supports or opposes the following statement. Output the final answer as JSON in the format {\"answer\": \"\"}.\nluke roberts is the only team member with the mountains classification" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it supports the statement. Hence, the answer is {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "Examine the table with the caption '2011 tour down under', classify whether the provided table entails or disputes the sentence. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nsentence: luke roberts is listed two times as a winner , all of the other winners are listed three times" + }, + { + "from": "gpt", + "value": "Based on the table, the sentence can not hold true. Thus, the final answer is {\"answer\": \"disputes\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_2325", + "image": "table_instructV/images/Rotowire_train_table_58.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Heat | Miami | 75 | 18 | 14 | 16 | 27 | 12 | 40 | 13 | 35 | 83 | 18 | 11 | 13 | | | | |\n| Bulls | Chicago | 93 | 14 | 25 | 33 | 21 | 21 | 44 | 19 | 47 | 86 | 50 | 15 | 8 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Luol Deng | 33 | 17 | 10 | 1 | 6-14 | 43% | 1-3 | 33% | 4-4 | 100% | 1 | 1 | 2 | 4 | 6 | 1 | F | Miami |\n| Dwyane Wade | 28 | 17 | 6 | 0 | 7-18 | 39% | 1-2 | 50% | 2-2 | 100% | 0 | 6 | 1 | 1 | 5 | 3 | G | Miami |\n| Mario Chalmers | 29 | 11 | 4 | 3 | 4-12 | 33% | 1-6 | 17% | 2-4 | 50% | 4 | 2 | 0 | 0 | 4 | 2 | N/A | Miami |\n| Justin Hamilton | 33 | 10 | 3 | 1 | 5-11 | 46% | 0-2 | 0% | 0-0 | 0% | 2 | 1 | 0 | 1 | 2 | 4 | C | Miami |\n| Norris Cole | 40 | 10 | 5 | 6 | 3-10 | 30% | 0-2 | 0% | 4-4 | 100% | 3 | 0 | 0 | 1 | 4 | 1 | G | Miami |\n| Shawne Williams | 28 | 4 | 3 | 0 | 1-4 | 25% | 1-3 | 33% | 1-2 | 50% | 1 | 1 | 0 | 0 | 3 | 2 | N/A | Miami |\n| Danny Granger | 20 | 4 | 3 | 0 | 1-6 | 17% | 0-3 | 0% | 2-2 | 100% | 2 | 1 | 1 | 2 | 1 | 5 | N/A | Miami |\n| Chris Andersen | 18 | 2 | 3 | 1 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 2 | 1 | 2 | N/A | Miami |\n| James Ennis III | 7 | 0 | 1 | 0 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | Miami |\n| Udonis Haslem | 4 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 2 | F | Miami |\n| Chris Bosh | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Josh McRoberts | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Mike Dunleavy | 30 | 22 | 4 | 2 | 8-11 | 73% | 4-5 | 80% | 2-2 | 100% | 0 | 1 | 2 | 0 | 4 | 2 | F | Chicago |\n| Jimmy Butler | 36 | 17 | 7 | 5 | 4-10 | 40% | 0-1 | 0% | 9-10 | 90% | 2 | 2 | 1 | 1 | 6 | 2 | G | Chicago |\n| Taj Gibson | 38 | 15 | 9 | 1 | 5-8 | 63% | 0-0 | 0% | 5-5 | 100% | 1 | 3 | 1 | 5 | 4 | 1 | F | Chicago |\n| Derrick Rose | 27 | 14 | 2 | 3 | 6-14 | 43% | 1-3 | 33% | 1-2 | 50% | 1 | 1 | 0 | 0 | 2 | 3 | G | Chicago |\n| Pau Gasol | 36 | 9 | 9 | 3 | 4-13 | 31% | 0-0 | 0% | 1-2 | 50% | 0 | 6 | 2 | 1 | 8 | 0 | C | Chicago |\n| Aaron Brooks | 17 | 8 | 2 | 1 | 3-6 | 50% | 2-3 | 67% | 0-0 | 0% | 0 | 3 | 1 | 1 | 1 | 4 | N/A | Chicago |\n| Nikola Mirotic | 20 | 5 | 7 | 1 | 2-7 | 29% | 1-5 | 20% | 0-0 | 0% | 0 | 0 | 1 | 0 | 7 | 2 | N/A | Chicago |\n| E'Twaun Moore | 0 | 3 | 0 | 0 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Chicago |\n| Kirk Hinrich | 31 | 0 | 4 | 4 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 4 | 4 | N/A | Chicago |\n| Nazr Mohammed | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Chicago |\n| Tony Snell | 2 | 0 | 0 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Chicago |\n| Cameron Bairstow | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Chicago |" + }, + { + "from": "human", + "value": "Watch the table in this image and convert it into an HTML table in the text form." + }, + { + "from": "gpt", + "value": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
TEAM-NAME CITY PTS PTS_QTR1 PTS_QTR2 PTS_QTR3 PTS_QTR4 AST REB TOV FG_PCT FT_PCT FG3_PCT WINS LOSSES
Heat Miami 75 18 14 16 27 12 40 13 35 83 18 11 13
Bulls Chicago 93 14 25 33 21 21 44 19 47 86 50 15 8
PLAYER_NAME MIN PTS REB AST FG FG_PCT FG3 FG3_PCT FT FT_PCT STL TO BLK OREB DREB PF START_POSITION TEAM_CITY
Heat
Luol Deng 33 17 10 1 6-14 43% 1-3 33% 4-4 100% 1 1 2 4 6 1 F Miami
Dwyane Wade 28 17 6 0 7-18 39% 1-2 50% 2-2 100% 0 6 1 1 5 3 G Miami
Mario Chalmers 29 11 4 3 4-12 33% 1-6 17% 2-4 50% 4 2 0 0 4 2 N/A Miami
Justin Hamilton 33 10 3 1 5-11 46% 0-2 0% 0-0 0% 2 1 0 1 2 4 C Miami
Norris Cole 40 10 5 6 3-10 30% 0-2 0% 4-4 100% 3 0 0 1 4 1 G Miami
Shawne Williams 28 4 3 0 1-4 25% 1-3 33% 1-2 50% 1 1 0 0 3 2 N/A Miami
Danny Granger 20 4 3 0 1-6 17% 0-3 0% 2-2 100% 2 1 1 2 1 5 N/A Miami
Chris Andersen 18 2 3 1 1-1 100% 0-0 0% 0-0 0% 0 0 1 2 1 2 N/A Miami
James Ennis III 7 0 1 0 0-3 0% 0-1 0% 0-0 0% 0 0 0 1 0 0 N/A Miami
Udonis Haslem 4 0 2 0 0-1 0% 0-0 0% 0-0 0% 0 1 0 1 1 2 F Miami
Chris Bosh N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Miami
Josh McRoberts N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Miami
Bulls
Mike Dunleavy 30 22 4 2 8-11 73% 4-5 80% 2-2 100% 0 1 2 0 4 2 F Chicago
Jimmy Butler 36 17 7 5 4-10 40% 0-1 0% 9-10 90% 2 2 1 1 6 2 G Chicago
Taj Gibson 38 15 9 1 5-8 63% 0-0 0% 5-5 100% 1 3 1 5 4 1 F Chicago
Derrick Rose 27 14 2 3 6-14 43% 1-3 33% 1-2 50% 1 1 0 0 2 3 G Chicago
Pau Gasol 36 9 9 3 4-13 31% 0-0 0% 1-2 50% 0 6 2 1 8 0 C Chicago
Aaron Brooks 17 8 2 1 3-6 50% 2-3 67% 0-0 0% 0 3 1 1 1 4 N/A Chicago
Nikola Mirotic 20 5 7 1 2-7 29% 1-5 20% 0-0 0% 0 0 1 0 7 2 N/A Chicago
E'Twaun Moore 0 3 0 0 1-1 100% 1-1 100% 0-0 0% 0 0 0 0 0 0 N/A Chicago
Kirk Hinrich 31 0 4 4 0-0 0% 0-0 0% 0-0 0% 0 2 0 0 4 4 N/A Chicago
Nazr Mohammed 1 0 0 0 0-0 0% 0-0 0% 0-0 0% 0 1 0 0 0 0 N/A Chicago
Tony Snell 2 0 0 1 0-1 0% 0-0 0% 0-0 0% 0 0 0 0 0 0 N/A Chicago
Cameron Bairstow 1 0 0 0 0-0 0% 0-0 0% 0-0 0% 0 0 0 0 0 0 N/A Chicago
" + }, + { + "from": "human", + "value": "Generate a detailed match report for the NBA game on December 14, 2014. The game statistics are shown in the given picture." + }, + { + "from": "gpt", + "value": "The Chicago Bulls (15-8) defeated the Miami Heat (11-13) 93-75 on Sunday. Chicago has won four of their last five games. Mike Dunleavy took a rare lead on offense Sunday, finishing with a game-high 22 points on an efficient 8-of-11 shooting from the field. Joakim Noah sat out a third straight game to rest his sprained ankle, giving Taj Gibson another spot start. Gibson finished with 15 points and nine rebounds in 38 minutes. The Bulls will continue their two-game road trip in Atlanta on Monday against the Hawks. Miami has lost six of their last eight games, and Sunday they were without both Chris Bosh (calf) and Josh McRoberts (knee), putting them behind the eight ball trying to fight for a win without their starting frontcourt. With Bosh out, the Heat struggled to get anything working on offense and shot a woeful 35 percent from the field and 18 percent from beyond the arc. Miami will go on the road Tuesday to face the Brooklyn Nets." + } + ] + }, + { + "id": "table_instructV_multi_round_2697", + "image": "table_instructV/images/ToTTo_train_table_14140.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | 32–21–2 (3) | Takanori Gomi | KO (punches) | Rizin 11 | July 29, 2018 | 1 | 2:33 | Saitama, Japan | Catchweight (74 kg) bout; Guillard missed weight. |\n| Loss | 32–20–2 (3) | Maurice Jackson | TKO (punches) | SCL 65: Destination | February 10, 2018 | 2 | 1:50 | Denver, Colorado, United States | |\n| Loss | 32–19–2 (3) | Israel Adesanya | TKO (punches) | Australian Fighting Championship 20 | July 28, 2017 | 1 | 4:48 | Melbourne, Australia | For the Interim AFC Middleweight Championship. |\n| Loss | 32–18–2 (3) | Muslim Salikhov | KO (spinning hook kick) | Kunlun Fight MMA 12 | June 1, 2017 | 1 | 1:33 | Yantai, China | Guillard missed weight. |\n| Loss | 32–17–2 (3) | Chidi Njokuani | Decision (unanimous) | Bellator 171 | January 27, 2017 | 3 | 5:00 | Mulvane, Kansas, United States | 179 lb. Catchweight |\n| NC | 32–16–2 (3) | David Rickels | NC (overturned) | Bellator 159 | July 22, 2016 | 1 | 2:14 | Mulvane, Kansas, United States | Catchweight (158 lb) bout; Guillard missed weight. Originally a KO win, overturned after Guillard tested positive for a banned substance. |\n| Loss | 32–16–2 (2) | Derek Campos | KO (punches) | Bellator 149 | February 19, 2016 | 2 | 0:32 | Houston, Texas, United States | Catchweight (158 lbs) bout; Guillard missed weight. |\n| Loss | 32–15–2 (2) | Brandon Girtz | Decision (split) | Bellator 141 | August 28, 2015 | 3 | 5:00 | Temecula, California, United States | |\n| Loss | 32–14–2 (2) | Justin Gaethje | Decision (split) | WSOF 15 | November 15, 2014 | 3 | 5:00 | Tampa, Florida, United States | Non-title bout, Guillard missed weight (159 lbs). |\n| Win | 32–13–2 (2) | Gesias Cavalcante | TKO (punches and elbows) | WSOF 11 | July 5, 2014 | 2 | 2:36 | Daytona Beach, Florida, United States | Catchweight (157 lbs) bout; Guillard missed weight. |\n| Loss | 31–13–2 (2) | Michael Johnson | Decision (unanimous) | UFC Fight Night: Gustafsson vs. Manuwa | March 8, 2014 | 3 | 5:00 | London, England, United Kingdom | |\n| NC | 31–12–2 (2) | Ross Pearson | NC (illegal knee) | UFC Fight Night: Machida vs. Munoz | October 26, 2013 | 1 | 1:57 | Manchester, England, United Kingdom | Pearson was unable to continue after being cut by an accidental illegal knee. |\n| Win | 31–12–2 (1) | Mac Danzig | KO (punches) | UFC on Fox: Johnson vs. Moraga | July 27, 2013 | 2 | 2:47 | Seattle, Washington, United States | Knockout of the Night. |\n| Loss | 30–12–2 (1) | Jamie Varner | Decision (split) | UFC 155 | December 29, 2012 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Loss | 30–11–2 (1) | Donald Cerrone | KO (head kick and punch) | UFC 150 | August 11, 2012 | 1 | 1:16 | Denver, Colorado, United States | Catchweight (157.5 lb) bout; Guillard missed weight. Fight of the Night. |\n| Win | 30–10–2 (1) | Fabrício Camões | Decision (unanimous) | UFC 148 | July 7, 2012 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Loss | 29–10–2 (1) | Jim Miller | Submission (rear-naked choke) | UFC on FX: Guillard vs. Miller | January 20, 2012 | 1 | 3:04 | Nashville, Tennessee, United States | |\n| Loss | 29–9–2 (1) | Joe Lauzon | Submission (rear-naked choke) | UFC 136 | October 8, 2011 | 1 | 0:47 | Houston, Texas, United States | |\n| Win | 29–8–2 (1) | Shane Roller | KO (punches) | UFC 132 | July 2, 2011 | 1 | 2:12 | Las Vegas, Nevada, United States | |\n| Win | 28–8–2 (1) | Evan Dunham | TKO (knees) | UFC: Fight For The Troops 2 | January 22, 2011 | 1 | 2:58 | Fort Hood, Texas, United States | Knockout of the Night. |\n| Win | 27–8–2 (1) | Jeremy Stephens | Decision (split) | UFC 119 | September 25, 2010 | 3 | 5:00 | Indianapolis, Indiana, United States | |\n| Win | 26–8–2 (1) | Waylon Lowe | TKO (knee to the body) | UFC 114 | May 29, 2010 | 1 | 3:28 | Las Vegas, Nevada, United States | |\n| Win | 25–8–2 (1) | Ronys Torres | Decision (unanimous) | UFC 109 | February 6, 2010 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Loss | 24–8–2 (1) | Nate Diaz | Submission (guillotine choke) | UFC Fight Night: Diaz vs. Guillard | September 16, 2009 | 2 | 2:13 | Oklahoma City, Oklahoma, United States | |\n| Win | 24–7–2 (1) | Gleison Tibau | Decision (split) | The Ultimate Fighter: United States vs. United Kingdom Finale | June 20, 2009 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 23–7–2 (1) | Dennis Siver | TKO (punches) | UFC 86 | July 5, 2008 | 1 | 0:36 | Las Vegas, Nevada, United States | Knockout of the Night. |\n| Win | 22–7–2 (1) | Eric Regan | Decision (unanimous) | RITC 105: Friday Night Fights | March 7, 2008 | 3 | 3:00 | Phoenix, Arizona, United States | |\n| Loss | 21–7–2 (1) | Rich Clementi | Submission (rear-naked choke) | UFC 79 | December 29, 2007 | 1 | 4:40 | Las Vegas, Nevada, United States | |\n| Loss | 21–6–2 (1) | Joe Stevenson | Submission (guillotine choke) | UFC Fight Night: Stevenson vs. Guillard | April 5, 2007 | 1 | 0:27 | Las Vegas, Nevada, United States | Guillard tested positive for benzoylecgonine (cocaine metabolite). |\n| Win | 21–5–2 (1) | Gabe Ruediger | TKO (body punch) | UFC 63 | September 23, 2006 | 2 | 1:01 | Anaheim, California, United States | |\n| Win | 20–5–2 (1) | Rick Davis | KO (punch) | UFC 60 | May 27, 2006 | 1 | 1:37 | Los Angeles, California, United States | |\n| Loss | 19–5–2 (1) | Josh Neer | Submission (triangle choke) | UFC Fight Night 3 | January 16, 2006 | 1 | 4:20 | Las Vegas, Nevada, United States | Fight of the Night. |\n| Win | 19–4–2 (1) | Marcus Davis | TKO (doctor stoppage) | The Ultimate Fighter 2 Finale | November 5, 2005 | 2 | 2:55 | Las Vegas, Nevada, United States | |\n| NC | 18–4–2 (1) | Roger Huerta | NC (overturned) | Freestyle Fighting Championships 14 | March 5, 2005 | 3 | 5:00 | Biloxi, Mississippi, United States | Originally a decision win for Guillard; overturned due to Guillard greasing between rounds. |\n| Win | 18–4–2 | Peter Kaljevic | TKO (elbows) | Freestyle Fighting Championships 14 | March 5, 2005 | 1 | 2:24 | Biloxi, Mississippi, United States | |\n| Win | 17–4–2 | Darrell Smith | TKO (punches) | Freestyle Fighting Championships 14 | March 5, 2005 | 1 | 3:07 | Biloxi, Mississippi, United States | |\n| Win | 16–4–2 | Rob Emerson | Decision (split) | RCF: Cold Hearted | February 19, 2005 | 3 | 5:00 | Biloxi, Mississippi, United States | |\n| Loss | 15–4–2 | Santino Defranco | Submission (triangle choke) | ISCF: Domination at the DAC | November 20, 2004 | 1 | 2:33 | Atlanta, Georgia, United States | |\n| Win | 15–3–2 | Jason Hathaway | TKO (punches) | ISCF: Compound Fracture | October 15, 2004 | 1 | 0:37 | Atlanta, Georgia, United States | |\n| Draw | 14–3–2 | LaVerne Clark | Draw | RCF: Duel in the Delta | September 25, 2004 | 3 | 5:00 | Tunica, Mississippi, United States | |\n| Win | 14–3–1 | Angel Nievens | Decision (unanimous) | FFC 11: Explosion | September 10, 2004 | 3 | 5:00 | Biloxi, Mississippi, United States | |\n| Loss | 13–3–1 | Ryan Stout | Submission (armbar) | Battle of New Orleans 14 | July 10, 2004 | 1 | 2:55 | New Orleans, Louisiana, United States | |\n| Draw | 13–2–1 | Lee King | Draw | Battle of New Orleans 13 | June 25, 2004 | 3 | 5:00 | New Orleans, Louisiana, United States | |\n| Win | 13–2 | Rich Miller | TKO (punches) | Extreme Challenge 58 | June 11, 2004 | 2 | 2:07 | Medina, Minnesota, United States | |\n| Win | 12–2 | Kyle Bradley | TKO (punches) | Freestyle Fighting Championships 9 | May 14, 2004 | 1 | 4:20 | Biloxi, Mississippi, United States | |\n| Loss | 11–2 | Jake Short | Decision (unanimous) | Freestyle Fighting Championships 8 | March 5, 2004 | 3 | 5:00 | Biloxi, Mississippi, United States | |\n| Loss | 11–1 | Carlo Prater | Submission (guillotine choke) | Freestyle Fighting Championships 7 | December 19, 2003 | 1 | 2:32 | Biloxi, Mississippi, United States | |\n| Win | 11–0 | Justin Wieman | TKO (punches) | ISCF: Anarchy in August | August 2, 2003 | 2 | N/A | Atlanta, Georgia, United States | |\n| Win | 10–0 | Kyle Bradley | Submission (armbar) | FFC 6: No Love | July 11, 2003 | 1 | 2:54 | Biloxi, Mississippi, United States | |\n| Win | 9–0 | Paul Purcell | TKO (punches) | Art of War 2 | June 21, 2003 | 1 | N/A | Kalispell, Montana, United States | |\n| Win | 8–0 | Diego Saraiva | KO (punches) | ISCF: May Madness | May 23, 2003 | 1 | N/A | Atlanta, Georgia, United States | |\n| Win | 7–0 | Alex Kronofsky | KO (punch) | Battle of New Orleans 6 | April 26, 2003 | 1 | 1:32 | New Orleans, Louisiana, United States | |\n| Win | 6–0 | Aaron Williams | TKO (punches) | Freestyle Fighting Championships 5 | April 25, 2003 | 1 | 1:43 | Biloxi, Mississippi, United States | |\n| Win | 5–0 | Victor Estrada | Submission (armbar) | Battle of New Orleans 5 | March 22, 2003 | 1 | 2:04 | New Orleans, Louisiana, United States | |\n| Win | 4–0 | Rod Ramirez | TKO (punches) | Battle of New Orleans 4 | February 15, 2003 | 2 | 0:32 | New Orleans, Louisiana, United States | |\n| Win | 3–0 | Joe Jordan | Decision (unanimous) | Battle of New Orleans 3 | January 18, 2003 | 2 | 5:00 | New Orleans, Louisiana, United States | |\n| Win | 2–0 | Jonathon Hargroder | KO (punch) | Battle of New Orleans 2 | December 21, 2002 | 1 | 0:31 | New Orleans, Louisiana, United States | |\n| Win | 1–0 | Calvin Martin | Decision (unanimous) | Battle of New Orleans 1 | November 16, 2002 | 2 | 5:00 | New Orleans, Louisiana | |" + }, + { + "from": "human", + "value": "This image shows a Wikipedia table extracted from a section.\nTable title: Melvin Guillard\nTable section title: Mixed martial arts record\n Using the provided table and its metadata, write a sentence to summarize the information in the highlighted table cells." + }, + { + "from": "gpt", + "value": "Guillard won a split decision over Gleison Tibau at The Ultimate Fighter: United States vs. United Kingdom Finale on June 20, 2009." + } + ] + }, + { + "id": "table_instructV_multi_round_2705", + "image": "table_instructV/images/TAT-QA_f2fd4e8e-2709-433f-94a1-9561eda821ac.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| ($ in millions) | | | |\n| --- | --- | --- | --- |\n| For the year ended December 31: | 2019 | 2018 | Yr.-to-Yr. Percent Change |\n| External revenue | $1,400 | $1,590 | (11.9) % |\n| Internal revenue | 1,232 | 1,610 | (23.5) |\n| Total revenue | $2,632 | $3,200 | (17.8) % |\n| Pre-tax income | $1,055 | $1,361 | (22.5) % |" + }, + { + "from": "human", + "value": "Give you a table.\nShow your answer to the following question:\nWhat percentage of total revenue is Pre-tax income in 2019?\nProvide a concluding answer in a JSON structure, using the format {\"answer\": []} such as {\"answer\": [\"20\", \"apple\"]}." + }, + { + "from": "gpt", + "value": "Based on the given table:\n1055 / 2632 = 40.08\nTherefore, the answer is {\"answer\": [\"40.08\"]}." + }, + { + "from": "human", + "value": "The image shows a table. Answer the following question based on the table. Present the final answer as JSON in the format {\"answer\": []}.\nWhat is the average External revenue?" + }, + { + "from": "gpt", + "value": "Based on the given table:\n(1400 + 1590) / 2 = 1495\nTherefore, the answer is {\"answer\": [\"1495\"]}." + }, + { + "from": "human", + "value": "Retrieve the values of cells in the given columns, indicated by column indices. Show the cells in a column in the JSON format {\"column_id\":\"\", \"cell_list\":\"\"}. For example, {\"column_id\":\"6\", \"cell_list\": [\"A\", \"B\", \"C\"]}.\ncolumns to retrieve:\nthe 4th column\nthe 3rd column" + }, + { + "from": "gpt", + "value": "The cell values of target columns are as follows:\nFor the 4th column: {\"column_id\": \"4\", \"cell_list\": ['', 'Yr.-to-Yr. Percent Change', '(11.9) %', '(23.5)', '(17.8) %', '(22.5) %']}\nFor the 3rd column: {\"column_id\": \"3\", \"cell_list\": ['', '2018', '$1,590', '1,610', '$3,200', '$1,361']}" + }, + { + "from": "human", + "value": "What is the increase / (decrease) in the internal revenue from 2018 to 2019?\nCarefully answer the question according to the table. Present the final answer in a JSON format {\"answer\": []}." + }, + { + "from": "gpt", + "value": "Using the number listed in the table, we have the following computations: 1232 - 1610 = -378\n\nAs a result, the final answer is {\"answer\": [\"-378\"]}." + } + ] + }, + { + "id": "table_instructV_multi_round_2867", + "image": "table_instructV/images/TABMWP_17149.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $730 | 19,700 | 4,100 |\n| $810 | 18,400 | 7,100 |\n| $890 | 17,100 | 10,100 |\n| $970 | 15,800 | 13,100 |\n| $1,050 | 14,500 | 16,100 |" + }, + { + "from": "human", + "value": "Starting with the provided table, detail your process in solving this problem. Present the final answer in a JSON format, outlined as {\"answer\": \"\"}. \nLook at the table. Then answer the question. At a price of $890, is there a shortage or a surplus? (A) shortage (B) surplus" + }, + { + "from": "gpt", + "value": "At the price of $890, the quantity demanded is greater than the quantity supplied. There is not enough of the good or service for sale at that price. So, there is a shortage.\n\n\nSo, the answer is {\"answer\": \"shortage\"}." + }, + { + "from": "human", + "value": "Given a table image, can you convert the table into a Latex table in the text form?" + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|}\n\\hline\n Price & Quantity demanded & Quantity supplied \\\\\n\\hline\n \\$730 & 19,700 & 4,100 \\\\\n\\hline\n \\$810 & 18,400 & 7,100 \\\\\n\\hline\n \\$890 & 17,100 & 10,100 \\\\\n\\hline\n \\$970 & 15,800 & 13,100 \\\\\n\\hline\n \\$1,050 & 14,500 & 16,100 \\\\\n\\hline\n\\end{tabular}" + } + ] + }, + { + "id": "table_instructV_multi_round_2912", + "image": "table_instructV/images/Rotowire_train_table_2895.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 76ers | Philadelphia | 108 | 30 | 24 | 29 | 25 | 23 | 47 | 17 | 43 | 87 | 43 | 7 | 20 | | | | |\n| Nets | Brooklyn | 107 | 32 | 25 | 29 | 21 | 26 | 43 | 16 | 44 | 74 | 35 | 7 | 19 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Joel Embiid | 27 | 33 | 10 | 1 | 12-17 | 71% | 2-3 | 67% | 7-8 | 88% | 2 | 3 | 3 | 2 | 8 | 2 | F | Philadelphia |\n| Ersan Ilyasova | 31 | 22 | 4 | 2 | 7-12 | 58% | 4-7 | 57% | 4-4 | 100% | 0 | 2 | 1 | 0 | 4 | 3 | N/A | Philadelphia |\n| Robert Covington | 35 | 15 | 5 | 2 | 5-11 | 46% | 1-4 | 25% | 4-4 | 100% | 1 | 2 | 0 | 2 | 3 | 2 | F | Philadelphia |\n| Gerald Henderson | 29 | 10 | 2 | 3 | 4-6 | 67% | 1-1 | 100% | 1-1 | 100% | 1 | 0 | 0 | 0 | 2 | 1 | G | Philadelphia |\n| Sergio Rodriguez | 23 | 9 | 2 | 5 | 3-11 | 27% | 3-5 | 60% | 0-0 | 0% | 1 | 2 | 0 | 1 | 1 | 3 | G | Philadelphia |\n| TJ McConnell | 25 | 8 | 3 | 6 | 4-9 | 44% | 0-1 | 0% | 0-0 | 0% | 0 | 3 | 0 | 1 | 2 | 3 | N/A | Philadelphia |\n| Dario Saric | 25 | 7 | 8 | 2 | 3-10 | 30% | 1-5 | 20% | 0-0 | 0% | 0 | 1 | 0 | 2 | 6 | 1 | N/A | Philadelphia |\n| Jahlil Okafor | 28 | 3 | 10 | 2 | 0-9 | 0% | 0-0 | 0% | 3-4 | 75% | 0 | 3 | 1 | 5 | 5 | 3 | C | Philadelphia |\n| Hollis Thompson | 17 | 1 | 3 | 0 | 0-3 | 0% | 0-2 | 0% | 1-2 | 50% | 0 | 1 | 0 | 0 | 3 | 0 | N/A | Philadelphia |\n| Nerlens Noel | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Nik Stauskas | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Richaun Holmes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Timothe Luwawu-Cabarrot | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Nets | | | | | | | | | | | | | | | | | | |\n| Brook Lopez | 32 | 22 | 9 | 8 | 6-14 | 43% | 1-3 | 33% | 9-10 | 90% | 1 | 1 | 4 | 3 | 6 | 4 | C | Brooklyn |\n| Joe Harris | 28 | 19 | 2 | 2 | 7-13 | 54% | 5-9 | 56% | 0-0 | 0% | 2 | 2 | 0 | 0 | 2 | 3 | N/A | Brooklyn |\n| Jeremy Lin | 22 | 16 | 2 | 4 | 5-10 | 50% | 2-7 | 29% | 4-5 | 80% | 2 | 3 | 0 | 0 | 2 | 1 | N/A | Brooklyn |\n| Bojan Bogdanovic | 25 | 14 | 6 | 2 | 5-13 | 39% | 2-7 | 29% | 2-2 | 100% | 1 | 1 | 0 | 1 | 5 | 0 | F | Brooklyn |\n| Isaiah Whitehead | 21 | 11 | 1 | 0 | 3-6 | 50% | 2-3 | 67% | 3-4 | 75% | 0 | 0 | 0 | 0 | 1 | 2 | G | Brooklyn |\n| Sean Kilpatrick | 26 | 7 | 4 | 3 | 2-5 | 40% | 0-2 | 0% | 3-4 | 75% | 1 | 2 | 0 | 0 | 4 | 1 | G | Brooklyn |\n| Rondae Hollis-Jefferson | 19 | 7 | 5 | 1 | 3-5 | 60% | 0-1 | 0% | 1-4 | 25% | 1 | 3 | 1 | 1 | 4 | 3 | N/A | Brooklyn |\n| Trevor Booker | 31 | 5 | 6 | 4 | 2-7 | 29% | 0-1 | 0% | 1-2 | 50% | 0 | 2 | 0 | 1 | 5 | 3 | F | Brooklyn |\n| Luis Scola | 12 | 4 | 3 | 0 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 2 | N/A | Brooklyn |\n| Caris LeVert | 11 | 2 | 1 | 1 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Brooklyn |\n| Anthony Bennett | 13 | 0 | 4 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 3 | 1 | N/A | Brooklyn |\n| Randy Foye | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |\n| Justin Hamilton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |" + }, + { + "from": "human", + "value": "This picture shows data records of an NBA game on 2016-12-18. Utilizing these data to output a detailed game summary." + }, + { + "from": "gpt", + "value": "While these teams have just seven wins a piece, they both left it all on the floor in this close-fought battle. There were nine ties and 21 lead changes in total, as neither team led by more than nine points. Almost all of the stats were even aside from rebounding, as the Sixers doubled up the Nets in offensive rebounding and won the total rebounding differential, 48-43. Brook Lopez did all he could to keep the Nets hanging around, as he tallied 22 points, nine rebounds and eight assists in the defeat. Joel Embiid continued his spectacular rookie season, as he dropped a career-high 33 points, 10 rebounds and three blocks in the win. Jahlil Okafor had a game to forget, as he went 0-of-10 from the field en route to three points and 11 rebounds." + } + ] + }, + { + "id": "table_instructV_multi_round_2945", + "image": "table_instructV/images/ToTTo_train_table_12611.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 2002 | Star Trek: Enterprise | Liana | Episode: \"Oasis\" |\n| 2002 | Birds of Prey | Lynne Emerson | Episode: \"Split\" |\n| 2003 | Frasier | Esthetician | Episode: \"Door Jam\" |\n| 2003 | Angel | Margaret | Episode: \"Shiny Happy People\" |\n| 2004 | Charmed | Demonatrix Two | Episode: \"A Wrong Day's Journey Into Right\" |\n| 2005 | Out of Practice | Conner | Episode: \"Breaking Up Is Hard to Do. And Do. And....\" |\n| 2005 | Killer Instinct | Cecilia Johnson | Episode: \"Forget Me Not\" |\n| 2005 | E-Ring | Lieutenant | Episode: \"Christmas Story\" |\n| 2006 | Cold Case | Libby Bradley (1979) | Episode: \"The Key\" |\n| 2006 | Boston Legal | Ellen Tanner | Episode: \"The Nutcrackers\" |\n| 2007 | Company Man | Kate Fisher | TV pilot |\n| 2007 | Supernatural | Susan Thompson | Episode: \"Playthings\" |\n| 2007 | General Hospital | Amelia Joffe | Recurring role (80 episodes) |\n| 2007 | Journeyman | Diana Bloom | Episode: \"Friendly Skies\" |\n| 2009–10 | 24 | Renee Walker | Regular role (37 episodes) |\n| 2010 | CSI: Crime Scene Investigation | Dr. Priscilla Prescott | Episode: \"House of Hoarders\" |\n| 2010 | NCIS | Deputy DA Gail Walsh | Episode: \"False Witness\" |\n| 2011 | Partners | Jesse-Lynn Mancini | TV film |\n| 2011 | No Ordinary Family | Michelle Cotton | Episode: \"No Ordinary Friends\" |\n| 2011 | Rizzoli & Isles | Nicole Mateo | Episode: \"Brown Eyed Girl\" |\n| 2011 | Hawaii Five-0 | Samantha Martell | Episode: \"Ka Hakaka Maika'i\" |\n| 2012 | Harry's Law | Patricia Stanhope | Episode: \"Breaking Points\" |\n| 2013 | Body of Proof | Yvonne Kurtz | Episodes: \"Abducted: Part I\", \"Abducted: Part II\" |\n| 2013 | Dallas | Alison Jones | Episodes: \"False Confessions\", \"The Furious and the Fast\", \"Ewings Unite!\", \"Guilt & Innocence\" |\n| 2013 | Touch | Dr. Kate Gordon | Episode: \"Clockwork\" |\n| 2013 | Revolution | Emma | Episodes: \"Home\", \"The Love Boat\" |\n| 2013; 2015 | Castle | Dr. Kelly Nieman | Episodes: \"Disciple\", \"Resurrection\", \"Reckoning\" |\n| 2014 | Intelligence | Kate Anderson | Episode: \"Mei Chen Returns\" |\n| 2014–16 | Bosch | Julia Brasher | Season 1 (regular role; 10 episodes) Season 2 (guest star; 1 episode) |\n| 2014 | Blue Bloods | Joyce Carpenter | Episode: \"Insult to Injury\" |\n| 2014 | Extant | Femi Dodd | Recurring role (5 episodes) |\n| 2015–16 | The Vampire Diaries | Lillian \"Lily\" Salvatore | Recurring role (17 episodes) |\n| 2016 | Code Black | Katie Miller | Episode: \"Hail Mary\" |\n| 2016 | The Catch | Karen Singh | Episode: \"The Ringer\" |\n| 2016 | Major Crimes | Liz Soto | Episode: \"Foreign Affairs\" |\n| 2017-18 | Timeless | Emma Whitmore | Recurring role (11 episodes) |\n| 2017 | Doubt | Bonnie Harris | Episode: \"To See, to Tell\" |\n| 2017-present | Runaways | Leslie Dean | Main cast |\n| 2018 | Hell's Kitchen | Herself | Guest diner; Episode: \"A Fond Farewell\" |" + }, + { + "from": "human", + "value": "This image shows a table consists of serveral rows and columns. Please return the contents in the following rows:\nrow 33,\nrow 28,\nrow 37,\n\nRequirements: Output the cell values in a row as JSON in the format {\"row_id\":\"\", \"cell_list\":\"\"}, e.g., {\"row_id\":\"3\", \"cell_list\": [\"123.89\", \"News gathering\", \"selected tools\"]}." + }, + { + "from": "gpt", + "value": "The cell values of target rows are as follows:\nFor row 33: {\"row_id\": \"33\", \"cell_list\": ['2015–16', 'The Vampire Diaries', 'Lillian \"Lily\" Salvatore', 'Recurring role (17 episodes)']}\nFor row 28: {\"row_id\": \"28\", \"cell_list\": ['2013; 2015', 'Castle', 'Dr. Kelly Nieman', 'Episodes: \"Disciple\", \"Resurrection\", \"Reckoning\"']}\nFor row 37: {\"row_id\": \"37\", \"cell_list\": ['2017-18', 'Timeless', 'Emma Whitmore', 'Recurring role (11 episodes)']}" + }, + { + "from": "human", + "value": "Consider the table titled 'Annie Wersching', with its section title 'Television'\nFormulate a sentence describing the highlighted cells' content." + }, + { + "from": "gpt", + "value": "In 2007, Annie Wersching played the recurring role of Amelia Joffe in General Hospital." + } + ] + }, + { + "id": "table_instructV_multi_round_2959", + "image": "table_instructV/images/TabFact_2-18009462-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| player | country | year (s) won | total | to par | finish |\n| --- | --- | --- | --- | --- | --- |\n| justin leonard | united states | 1997 | 281 | - 3 | t14 |\n| nick price | zimbabwe | 1994 | 282 | - 2 | t18 |\n| greg norman | australia | 1986 , 1993 | 282 | - 2 | t18 |\n| david duval | united states | 2001 | 283 | - 1 | t22 |\n| mark o'meara | united states | 1998 | 283 | - 1 | t22 |\n| tiger woods | united states | 2000 | 284 | e | t28 |\n| paul lawrie | scotland | 1999 | 289 | + 5 | t59 |\n| nick faldo | england | 1987 , 1990 , 1992 | 289 | + 5 | t59 |\n| sandy lyle | scotland | 1985 | 292 | + 8 | t76 |\n| mark calcavecchia | united states | 1989 | 295 | + 11 | t80 |" + }, + { + "from": "human", + "value": "This image shows a table. Determine whether this table contains merged cells and output merged cell areas with the JSON format of {'top-left':(X, Y), 'bottom-right':(Z, W)}, where X, Y, Z and W represent the indices of the first row, the first column, the last row, and the last column in the merged region. Row and column indices are numberd from 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "Analyze this table picture about '2002 open championship' and classify whether the given table confirms or opposes the hypothesis. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\n\nthe only player with a total score of less than 282 finished tied for 18h" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it opposes the hypothesis. Hence, the answer is {\"answer\": \"opposes\"}." + }, + { + "from": "human", + "value": "Examine the table with the given title '2002 open championship' and judge whether the statement is confirmed or opposed based on the table's content. Show your final answer in the JSON format {\"answer\": \"\"}.\njustin leonard finished t14 with a 281 total" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the statement. Hence, the answer is {\"answer\": \"confirmed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_3009", + "image": "table_instructV/images/Rotowire_train_table_3269.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Knicks | New York | 106 | 31 | 22 | 27 | 26 | 19 | 45 | 17 | 51 | 94 | 43 | 30 | 43 | | | | |\n| Bulls | Chicago | 94 | 27 | 18 | 20 | 29 | 15 | 34 | 8 | 42 | 78 | 24 | 36 | 35 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Knicks | | | | | | | | | | | | | | | | | | |\n| Carmelo Anthony | 35 | 26 | 7 | 4 | 9-17 | 53% | 3-9 | 33% | 5-5 | 100% | 1 | 2 | 0 | 2 | 5 | 2 | F | New York |\n| Kristaps Porzingis | 35 | 19 | 10 | 0 | 7-15 | 47% | 2-5 | 40% | 3-3 | 100% | 0 | 1 | 3 | 1 | 9 | 2 | F | New York |\n| Derrick Williams | 17 | 13 | 3 | 0 | 5-8 | 63% | 1-3 | 33% | 2-2 | 100% | 0 | 2 | 0 | 0 | 3 | 1 | N/A | New York |\n| Jose Calderon | 33 | 12 | 7 | 7 | 4-9 | 44% | 3-5 | 60% | 1-2 | 50% | 1 | 2 | 0 | 1 | 6 | 3 | G | New York |\n| Arron Afflalo | 29 | 11 | 3 | 2 | 5-9 | 56% | 1-2 | 50% | 0-0 | 0% | 0 | 2 | 0 | 0 | 3 | 0 | N/A | New York |\n| Sasha Vujacic | 19 | 9 | 1 | 3 | 3-5 | 60% | 3-3 | 100% | 0-0 | 0% | 2 | 2 | 0 | 0 | 1 | 1 | G | New York |\n| Langston Galloway | 16 | 6 | 4 | 1 | 1-2 | 50% | 0-1 | 0% | 4-4 | 100% | 0 | 0 | 1 | 0 | 4 | 1 | N/A | New York |\n| Jerian Grant | 12 | 4 | 0 | 0 | 2-4 | 50% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | New York |\n| Robin Lopez | 34 | 4 | 7 | 1 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 4 | 3 | 0 | 7 | 2 | C | New York |\n| Kevin Seraphin | 10 | 2 | 3 | 1 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 2 | 1 | 2 | 0 | N/A | New York |\n| Kyle O'Quinn | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Lou Amundson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Derrick Rose | 39 | 30 | 2 | 3 | 13-24 | 54% | 1-4 | 25% | 3-4 | 75% | 2 | 1 | 0 | 0 | 2 | 1 | G | Chicago |\n| Jimmy Butler | 39 | 19 | 3 | 3 | 7-15 | 47% | 1-3 | 33% | 4-6 | 67% | 3 | 4 | 1 | 1 | 2 | 3 | G | Chicago |\n| Taj Gibson | 26 | 10 | 6 | 1 | 4-8 | 50% | 0-0 | 0% | 2-2 | 100% | 1 | 0 | 0 | 1 | 5 | 4 | F | Chicago |\n| Mike Dunleavy | 29 | 9 | 4 | 2 | 3-10 | 30% | 3-7 | 43% | 0-0 | 0% | 1 | 1 | 0 | 0 | 4 | 1 | F | Chicago |\n| Nikola Mirotic | 24 | 8 | 6 | 3 | 2-9 | 22% | 0-3 | 0% | 4-4 | 100% | 0 | 1 | 0 | 2 | 4 | 3 | N/A | Chicago |\n| Cristiano Felicio | 21 | 6 | 1 | 0 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 1 | 0 | C | Chicago |\n| Aaron Brooks | 18 | 6 | 3 | 1 | 3-7 | 43% | 0-3 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 2 | 0 | N/A | Chicago |\n| Justin Holiday | 13 | 5 | 5 | 1 | 2-4 | 50% | 1-2 | 50% | 0-0 | 0% | 1 | 0 | 0 | 0 | 5 | 1 | N/A | Chicago |\n| Doug McDermott | 14 | 1 | 0 | 0 | 0-3 | 0% | 0-2 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Chicago |\n| Bobby Portis | 17 | 0 | 4 | 1 | 0-4 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 2 | 2 | 1 | N/A | Chicago |\n| E'Twaun Moore | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Pau Gasol | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Tony Snell | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |" + }, + { + "from": "human", + "value": "Based on the shown data records of an NBA game which took place on 24/03/2016 between Knicks and Bulls, craft a detailed narrative that encapsulates the game's highlights and overall performance." + }, + { + "from": "gpt", + "value": "The New York Knicks (30-43) took down the shorthanded Chicago Bulls (36-35) for the second straight night on Thursday, winning 106-94. Though not mathematically eliminated, the Knicks remain squarely out of the Eastern Conference playoff picture. However, the team has now won two straight after a back-to-back against the ailing Bulls. All-Star Carmelo Anthony led the team with 26 points, also pulling down seven rebounds. Rookie Kristaps Porzingis also had a big night, notching a 19-point, 10-rebound double-double. The Latvian big man also swatted three shots en route to the win. The Bulls have been grappling with major injuries for months, and Thursday was no exception. Key players Pau Gasol and Tony Snell both sat, allowing big man Cristiano Felicio to slide into the starting lineup despite his average of just 7 minutes per game on the season. The Bulls recorded a paltry 15 assists on the night, and the Chicago bench combined for just 20 in the contest. Despite these shortcomings, former MVP Derrick Rose did shine with a big 30-point scoring night. The Bulls now sit 2 games behind the Pistons in the Eastern Conference playoff race. The Knicks will host the Cleveland Cavaliers on Saturday, while the Bulls will travel to Orlando to take on the Magic." + }, + { + "from": "human", + "value": "The picture contains a table. You task is to identify any merged cells in this table, and output the scope of each merged cell using the JSON format of {'top-left':(R1, C1), 'bottom-right':(R2, C2)}. The row id and column id should start from 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + } + ] + }, + { + "id": "table_instructV_multi_round_3014", + "image": "table_instructV/images/Rotowire_train_table_2432.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wizards | Washington | 96 | 24 | 19 | 31 | 22 | 25 | 53 | 20 | 43 | 85 | 28 | 33 | 20 | | | | |\n| Magic | Orlando | 80 | 16 | 19 | 19 | 26 | 18 | 33 | 11 | 40 | 67 | 18 | 16 | 39 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| Rasual Butler | 27 | 15 | 3 | 0 | 4-14 | 29% | 3-9 | 33% | 4-5 | 80% | 0 | 3 | 0 | 1 | 2 | 1 | N/A | Washington |\n| Marcin Gortat | 31 | 14 | 14 | 3 | 5-6 | 83% | 0-0 | 0% | 4-4 | 100% | 0 | 2 | 1 | 0 | 14 | 2 | C | Washington |\n| Nene | 21 | 14 | 3 | 3 | 6-10 | 60% | 0-0 | 0% | 2-2 | 100% | 0 | 2 | 0 | 3 | 0 | 2 | F | Washington |\n| Drew Gooden | 23 | 10 | 4 | 0 | 4-6 | 67% | 1-1 | 100% | 1-1 | 100% | 0 | 1 | 0 | 2 | 2 | 3 | N/A | Washington |\n| John Wall | 33 | 9 | 10 | 10 | 3-10 | 30% | 1-5 | 20% | 2-3 | 67% | 1 | 3 | 1 | 0 | 10 | 1 | G | Washington |\n| Kevin Seraphin | 17 | 7 | 6 | 0 | 3-8 | 38% | 0-0 | 0% | 1-2 | 50% | 0 | 3 | 1 | 4 | 2 | 2 | N/A | Washington |\n| Garrett Temple | 26 | 7 | 3 | 3 | 2-3 | 67% | 1-2 | 50% | 2-2 | 100% | 3 | 0 | 0 | 1 | 2 | 2 | G | Washington |\n| Martell Webster | 11 | 6 | 3 | 1 | 2-7 | 29% | 0-3 | 0% | 2-2 | 100% | 1 | 2 | 0 | 1 | 2 | 0 | N/A | Washington |\n| Paul Pierce | 22 | 6 | 1 | 1 | 2-9 | 22% | 1-5 | 20% | 1-2 | 50% | 2 | 2 | 0 | 0 | 1 | 1 | F | Washington |\n| Kris Humphries | 4 | 6 | 3 | 0 | 2-2 | 100% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 1 | 2 | 0 | N/A | Washington |\n| Andre Miller | 14 | 2 | 2 | 4 | 0-1 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 2 | 0 | N/A | Washington |\n| Otto Porter | 11 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Washington |\n| DeJuan Blair | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Evan Fournier | 33 | 18 | 2 | 2 | 7-14 | 50% | 2-5 | 40% | 2-2 | 100% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Orlando |\n| Nikola Vucevic | 33 | 14 | 8 | 1 | 6-10 | 60% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 1 | 7 | 4 | C | Orlando |\n| Victor Oladipo | 39 | 13 | 4 | 5 | 6-18 | 33% | 0-6 | 0% | 1-1 | 100% | 1 | 0 | 0 | 1 | 3 | 2 | G | Orlando |\n| Elfrid Payton | 37 | 11 | 5 | 5 | 4-11 | 36% | 0-0 | 0% | 3-5 | 60% | 6 | 4 | 0 | 2 | 3 | 2 | G | Orlando |\n| Maurice Harkless | 11 | 7 | 0 | 0 | 3-7 | 43% | 1-4 | 25% | 0-0 | 0% | 2 | 0 | 0 | 0 | 0 | 1 | N/A | Orlando |\n| Aaron Gordon | 17 | 5 | 0 | 0 | 2-4 | 50% | 0-0 | 0% | 1-1 | 100% | 1 | 2 | 1 | 0 | 0 | 4 | F | Orlando |\n| Kyle O'Quinn | 14 | 4 | 4 | 2 | 2-4 | 50% | 0-1 | 0% | 0-0 | 0% | 2 | 2 | 0 | 0 | 4 | 2 | N/A | Orlando |\n| Channing Frye | 20 | 3 | 2 | 0 | 1-6 | 17% | 1-4 | 25% | 0-0 | 0% | 1 | 2 | 2 | 0 | 2 | 4 | F | Orlando |\n| Dewayne Dedmon | 18 | 3 | 7 | 1 | 1-4 | 25% | 0-0 | 0% | 1-4 | 25% | 0 | 0 | 3 | 4 | 3 | 3 | N/A | Orlando |\n| Willie Green | 18 | 2 | 1 | 2 | 1-5 | 20% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Orlando |\n| Devyn Marble | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Ben Gordon | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Andrew Nicholson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |" + }, + { + "from": "human", + "value": "Watch this table and show a latex-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|}\n\\hline\n TEAM-NAME & CITY & PTS & PTS\\_QTR1 & PTS\\_QTR2 & PTS\\_QTR3 & PTS\\_QTR4 & AST & REB & TOV & FG\\_PCT & FT\\_PCT & FG3\\_PCT & WINS & LOSSES & & & & \\\\\n\\hline\n Wizards & Washington & 96 & 24 & 19 & 31 & 22 & 25 & 53 & 20 & 43 & 85 & 28 & 33 & 20 & & & & \\\\\n\\hline\n Magic & Orlando & 80 & 16 & 19 & 19 & 26 & 18 & 33 & 11 & 40 & 67 & 18 & 16 & 39 & & & & \\\\\n\\hline\n & & & & & & & & & & & & & & & & & & \\\\\n\\hline\n PLAYER\\_NAME & MIN & PTS & REB & AST & FG & FG\\_PCT & FG3 & FG3\\_PCT & FT & FT\\_PCT & STL & TO & BLK & OREB & DREB & PF & START\\_POSITION & TEAM\\_CITY \\\\\n\\hline\n Wizards & & & & & & & & & & & & & & & & & & \\\\\n\\hline\n Rasual Butler & 27 & 15 & 3 & 0 & 4-14 & 29\\% & 3-9 & 33\\% & 4-5 & 80\\% & 0 & 3 & 0 & 1 & 2 & 1 & N/A & Washington \\\\\n\\hline\n Marcin Gortat & 31 & 14 & 14 & 3 & 5-6 & 83\\% & 0-0 & 0\\% & 4-4 & 100\\% & 0 & 2 & 1 & 0 & 14 & 2 & C & Washington \\\\\n\\hline\n Nene & 21 & 14 & 3 & 3 & 6-10 & 60\\% & 0-0 & 0\\% & 2-2 & 100\\% & 0 & 2 & 0 & 3 & 0 & 2 & F & Washington \\\\\n\\hline\n Drew Gooden & 23 & 10 & 4 & 0 & 4-6 & 67\\% & 1-1 & 100\\% & 1-1 & 100\\% & 0 & 1 & 0 & 2 & 2 & 3 & N/A & Washington \\\\\n\\hline\n John Wall & 33 & 9 & 10 & 10 & 3-10 & 30\\% & 1-5 & 20\\% & 2-3 & 67\\% & 1 & 3 & 1 & 0 & 10 & 1 & G & Washington \\\\\n\\hline\n Kevin Seraphin & 17 & 7 & 6 & 0 & 3-8 & 38\\% & 0-0 & 0\\% & 1-2 & 50\\% & 0 & 3 & 1 & 4 & 2 & 2 & N/A & Washington \\\\\n\\hline\n Garrett Temple & 26 & 7 & 3 & 3 & 2-3 & 67\\% & 1-2 & 50\\% & 2-2 & 100\\% & 3 & 0 & 0 & 1 & 2 & 2 & G & Washington \\\\\n\\hline\n Martell Webster & 11 & 6 & 3 & 1 & 2-7 & 29\\% & 0-3 & 0\\% & 2-2 & 100\\% & 1 & 2 & 0 & 1 & 2 & 0 & N/A & Washington \\\\\n\\hline\n Paul Pierce & 22 & 6 & 1 & 1 & 2-9 & 22\\% & 1-5 & 20\\% & 1-2 & 50\\% & 2 & 2 & 0 & 0 & 1 & 1 & F & Washington \\\\\n\\hline\n Kris Humphries & 4 & 6 & 3 & 0 & 2-2 & 100\\% & 0-0 & 0\\% & 2-2 & 100\\% & 0 & 1 & 0 & 1 & 2 & 0 & N/A & Washington \\\\\n\\hline\n Andre Miller & 14 & 2 & 2 & 4 & 0-1 & 0\\% & 0-0 & 0\\% & 2-2 & 100\\% & 0 & 1 & 0 & 0 & 2 & 0 & N/A & Washington \\\\\n\\hline\n Otto Porter & 11 & 0 & 1 & 0 & 0-1 & 0\\% & 0-0 & 0\\% & 0-0 & 0\\% & 0 & 0 & 0 & 0 & 1 & 0 & N/A & Washington \\\\\n\\hline\n DeJuan Blair & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Washington \\\\\n\\hline\n Magic & & & & & & & & & & & & & & & & & & \\\\\n\\hline\n Evan Fournier & 33 & 18 & 2 & 2 & 7-14 & 50\\% & 2-5 & 40\\% & 2-2 & 100\\% & 0 & 0 & 0 & 0 & 2 & 1 & N/A & Orlando \\\\\n\\hline\n Nikola Vucevic & 33 & 14 & 8 & 1 & 6-10 & 60\\% & 0-0 & 0\\% & 2-2 & 100\\% & 0 & 1 & 0 & 1 & 7 & 4 & C & Orlando \\\\\n\\hline\n Victor Oladipo & 39 & 13 & 4 & 5 & 6-18 & 33\\% & 0-6 & 0\\% & 1-1 & 100\\% & 1 & 0 & 0 & 1 & 3 & 2 & G & Orlando \\\\\n\\hline\n Elfrid Payton & 37 & 11 & 5 & 5 & 4-11 & 36\\% & 0-0 & 0\\% & 3-5 & 60\\% & 6 & 4 & 0 & 2 & 3 & 2 & G & Orlando \\\\\n\\hline\n Maurice Harkless & 11 & 7 & 0 & 0 & 3-7 & 43\\% & 1-4 & 25\\% & 0-0 & 0\\% & 2 & 0 & 0 & 0 & 0 & 1 & N/A & Orlando \\\\\n\\hline\n Aaron Gordon & 17 & 5 & 0 & 0 & 2-4 & 50\\% & 0-0 & 0\\% & 1-1 & 100\\% & 1 & 2 & 1 & 0 & 0 & 4 & F & Orlando \\\\\n\\hline\n Kyle O'Quinn & 14 & 4 & 4 & 2 & 2-4 & 50\\% & 0-1 & 0\\% & 0-0 & 0\\% & 2 & 2 & 0 & 0 & 4 & 2 & N/A & Orlando \\\\\n\\hline\n Channing Frye & 20 & 3 & 2 & 0 & 1-6 & 17\\% & 1-4 & 25\\% & 0-0 & 0\\% & 1 & 2 & 2 & 0 & 2 & 4 & F & Orlando \\\\\n\\hline\n Dewayne Dedmon & 18 & 3 & 7 & 1 & 1-4 & 25\\% & 0-0 & 0\\% & 1-4 & 25\\% & 0 & 0 & 3 & 4 & 3 & 3 & N/A & Orlando \\\\\n\\hline\n Willie Green & 18 & 2 & 1 & 2 & 1-5 & 20\\% & 0-2 & 0\\% & 0-0 & 0\\% & 0 & 0 & 0 & 0 & 1 & 1 & N/A & Orlando \\\\\n\\hline\n Devyn Marble & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Orlando \\\\\n\\hline\n Ben Gordon & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Orlando \\\\\n\\hline\n Andrew Nicholson & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Orlando \\\\\n\\hline\n\\end{tabular}" + }, + { + "from": "human", + "value": "Examine the data records in this picture, which depict an NBA game held on February 09, 2015. Use these data statistics to generate a comprehensive summary of the game." + }, + { + "from": "gpt", + "value": "The Washington Wizards (33-20) defeated the Orlando Magic (16-39) 96-80 on Monday at the Verizon Center in Washington. The Wizards came out and got a quick start in this one, out-scoring the Magic 24-16 right away in the first quarter. Along with the fast start, the Wizards also shot better than the Magic, going 43 percent from the field and 28 percent from the three-point line, while the Magic went 40 percent from the floor and a meager 18 percent from beyond the arc. To put the icing on the cake, the Wizards also secured a 53-33 rebounding advantage. The Wizards had a balanced attack against the Magic, with the bench adding some valuable contributions. Leading the team in points was Rasual Butler, who posted 15 points (4-14 FG, 3-9 3Pt, 4-5 FT) and three rebounds in 27 minutes off the bench. It was his second straight 15-point game in a row, as he 's been a big reason the Wizards have won each of their last two games. Marcin Gortat had a strong showing and finished with 14 points (5-6 FG, 4-4 FT) and 14 rebounds. He was a force on the boards and was a big help in securing such an impressive advantage in the rebounding category. Coming just shy of a triple-double, John Wall recorded nine points (3-10 FG, 1-5 3Pt, 2-3 FT), 10 rebounds and 10 assists. It was the first time he failed to reach double figures in points since December fifth, although he made up for it with a new season-high in rebounds. Nene added 14 points (6-10 FG, 2-2 FT) and three rebounds as well. Like the Wizards, the Magic 's highest scorer was off the bench Tuesday, as Evan Fournier finished as the team leader in points. He went 7-for-14 from the field and 2-for-5 from the three-point line to score 18 points, while also adding two assists in 33 minutes. He continues to provide the Magic solid guard depth off the bench, as he 's now pushed his season averages to 12 points and 2 assists per game. Nikola Vucevic came close to recording a double-double, finishing with 14 points (6-10 FG, 2-2 FT) and eight rebounds. After posting fourteen games in a row with at least 16 points, he 's now posted less than that in two straight games, as his shot attempts were noticeably down during that stretch. Also reaching double-digit points was Victor Oladipo, who recorded 13 points (6-18 FG, 0-6 3Pt, 1-1 FT), four rebounds and five assists. Rookie Elfrid Payton contributed 11 points and a season-high of six steals, as he stepped it up defensively for the Magic. The Wizards' next game will be on the road against the Toronto Raptors on Wednesday, while the Magic will be at home against the New York Knicks on Wednesday." + }, + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the HTML representation of the table in text format." + }, + { + "from": "gpt", + "value": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
TEAM-NAME CITY PTS PTS_QTR1 PTS_QTR2 PTS_QTR3 PTS_QTR4 AST REB TOV FG_PCT FT_PCT FG3_PCT WINS LOSSES
Wizards Washington 96 24 19 31 22 25 53 20 43 85 28 33 20
Magic Orlando 80 16 19 19 26 18 33 11 40 67 18 16 39
PLAYER_NAME MIN PTS REB AST FG FG_PCT FG3 FG3_PCT FT FT_PCT STL TO BLK OREB DREB PF START_POSITION TEAM_CITY
Wizards
Rasual Butler 27 15 3 0 4-14 29% 3-9 33% 4-5 80% 0 3 0 1 2 1 N/A Washington
Marcin Gortat 31 14 14 3 5-6 83% 0-0 0% 4-4 100% 0 2 1 0 14 2 C Washington
Nene 21 14 3 3 6-10 60% 0-0 0% 2-2 100% 0 2 0 3 0 2 F Washington
Drew Gooden 23 10 4 0 4-6 67% 1-1 100% 1-1 100% 0 1 0 2 2 3 N/A Washington
John Wall 33 9 10 10 3-10 30% 1-5 20% 2-3 67% 1 3 1 0 10 1 G Washington
Kevin Seraphin 17 7 6 0 3-8 38% 0-0 0% 1-2 50% 0 3 1 4 2 2 N/A Washington
Garrett Temple 26 7 3 3 2-3 67% 1-2 50% 2-2 100% 3 0 0 1 2 2 G Washington
Martell Webster 11 6 3 1 2-7 29% 0-3 0% 2-2 100% 1 2 0 1 2 0 N/A Washington
Paul Pierce 22 6 1 1 2-9 22% 1-5 20% 1-2 50% 2 2 0 0 1 1 F Washington
Kris Humphries 4 6 3 0 2-2 100% 0-0 0% 2-2 100% 0 1 0 1 2 0 N/A Washington
Andre Miller 14 2 2 4 0-1 0% 0-0 0% 2-2 100% 0 1 0 0 2 0 N/A Washington
Otto Porter 11 0 1 0 0-1 0% 0-0 0% 0-0 0% 0 0 0 0 1 0 N/A Washington
DeJuan Blair N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Washington
Magic
Evan Fournier 33 18 2 2 7-14 50% 2-5 40% 2-2 100% 0 0 0 0 2 1 N/A Orlando
Nikola Vucevic 33 14 8 1 6-10 60% 0-0 0% 2-2 100% 0 1 0 1 7 4 C Orlando
Victor Oladipo 39 13 4 5 6-18 33% 0-6 0% 1-1 100% 1 0 0 1 3 2 G Orlando
Elfrid Payton 37 11 5 5 4-11 36% 0-0 0% 3-5 60% 6 4 0 2 3 2 G Orlando
Maurice Harkless 11 7 0 0 3-7 43% 1-4 25% 0-0 0% 2 0 0 0 0 1 N/A Orlando
Aaron Gordon 17 5 0 0 2-4 50% 0-0 0% 1-1 100% 1 2 1 0 0 4 F Orlando
Kyle O'Quinn 14 4 4 2 2-4 50% 0-1 0% 0-0 0% 2 2 0 0 4 2 N/A Orlando
Channing Frye 20 3 2 0 1-6 17% 1-4 25% 0-0 0% 1 2 2 0 2 4 F Orlando
Dewayne Dedmon 18 3 7 1 1-4 25% 0-0 0% 1-4 25% 0 0 3 4 3 3 N/A Orlando
Willie Green 18 2 1 2 1-5 20% 0-2 0% 0-0 0% 0 0 0 0 1 1 N/A Orlando
Devyn Marble N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Orlando
Ben Gordon N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Orlando
Andrew Nicholson N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Orlando
" + } + ] + }, + { + "id": "table_instructV_multi_round_3116", + "image": "table_instructV/images/TabFact_2-1405757-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| county | per capita income | median household income | median family income | population | number of households |\n| --- | --- | --- | --- | --- | --- |\n| nantucket | 51456 | 84979 | 89236 | 10135 | 3745 |\n| norfolk | 43685 | 83733 | 106309 | 666426 | 255944 |\n| middlesex | 41453 | 79691 | 100267 | 1491762 | 577349 |\n| barnstable | 36000 | 60525 | 76708 | 216639 | 96775 |\n| massachusetts | 35051 | 65981 | 83371 | 6512227 | 2522409 |\n| essex | 34858 | 65785 | 83047 | 739505 | 284940 |\n| plymouth | 34285 | 74698 | 88110 | 492934 | 178996 |\n| dukes | 33228 | 69760 | 82659 | 16353 | 5568 |\n| suffolk | 32034 | 51638 | 60342 | 713089 | 286437 |\n| worcester | 31470 | 65772 | 81342 | 794981 | 299089 |\n| berkshire | 29387 | 48705 | 64393 | 131221 | 55793 |\n| hampshire | 29113 | 60331 | 82999 | 157630 | 58921 |\n| bristol | 28682 | 55813 | 71416 | 547305 | 210536 |\n| franklin | 28313 | 52246 | 65713 | 71495 | 30362 |\n| united states | 27915 | 52762 | 64293 | 306603772 | 114761359 |\n| hampden | 25363 | 48866 | 61800 | 462752 | 177954 |" + }, + { + "from": "human", + "value": "Based on the table image about 'list of massachusetts locations by per capita income' and the subsequent hypothesis, determine if the table substantiates or conflicts with the subsequent hypothesis. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nhypothesis: nantucket county has 51456 median family income" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it conflicts with the hypothesis. Hence, the answer is {\"answer\": \"conflicts with\"}." + }, + { + "from": "human", + "value": "This is a table image titled 'list of massachusetts locations by per capita income', help me determine if the table substantiates or refutes the following statement. Output the final answer as JSON in the format {\"answer\": \"\"}.\nnantucket county has a per capita income of 51456" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it substantiates the statement. So, the answer is {\"answer\": \"substantiates\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_3126", + "image": "table_instructV/images/ToTTo_train_table_1571.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 1975 | Wide World Mystery | Waitress | Episode: \"Please Call It Murder\" |\n| 1975 | The Sunshine Boys | Eddie | |\n| 1975 | All in the Family | Dotty | Episode: \"Gloria is Nervous\" |\n| 1976–1977 | Phyllis | Harriet Hastings | Leading role; 24 episodes |\n| 1978 | Charlie's Angels | Elizabeth Mary 'Pokey' Jefferson | Episode: \"Angels in the Backfield\" |\n| 1978 | Barney Miller | Susan Schuman-Edwards | Episode: \"Evaluation\" |\n| 1979 | Blind Ambition | Carol | Television mini-series |\n| 1980 | Portrait of a Rebel: The Remarkable Mrs. Sanger | Mollie | Television film |\n| 1980 | The Seduction of Miss Leona | June Setzer | Television film |\n| 1982 | Halloween III: Season of the Witch | Marge Guttman | |\n| 1983 | Princess Daisy | Candice Bloom | Television film |\n| 1984 | Family Ties | Elizabeth Davidson | Episode: \"Baby Boy Doe\" |\n| 1984 | Children in the Crossfire | Doctor | Television film |\n| 1986 | Foley Square | Mrs. Sullivan | Episode: \"Kid Stuff\" |\n| 1987 | Jake's M.O. | Liz Reardon | |\n| 1988 | Buck James | Amy Ferguson | Episode: \"Heal Thyself\" |\n| 1988 | Killer Instinct | Claire | Television film |\n| 1989 | Have Faith | Edith Crepps | Episode: \"Letters from Home\" |\n| 1990 | Family of Spies | Mary | Television film |\n| 1990 | Falcon Crest | Ellen | Episode: \"Finding Lauren\" |\n| 1992 | Something to Live for: The Alison Gertz Story | Gwen | Television film |\n| 1993 | Quantum Leap | Gladys | Episode: \"Memphis Melody\" |" + }, + { + "from": "human", + "value": "Give you a Wikipedia table titled 'Garn Stephens'. Its section title is 'Filmography'. Table-related text is: Writer\nBased on the table and above metadata, generate a one-sentence description about highlighted table cells." + }, + { + "from": "gpt", + "value": "Garn Stephens appeared as 'Marge Guttman' in the 1982 Halloween III: Season of the Witch." + } + ] + }, + { + "id": "table_instructV_multi_round_3271", + "image": "table_instructV/images/TabFact_2-17334617-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | record | game site |\n| --- | --- | --- | --- | --- | --- |\n| 2 | april 10 , 2004 | columbus wardogs | w 38 - 33 | 1 - 0 | wachovia arena |\n| 3 | april 16 , 2004 | green bay blizzard | w 75 - 39 | 2 - 0 | resch center |\n| 4 | april 24 , 2004 | quad city steamwheelers | w 40 - 27 | 3 - 0 | wachovia arena |\n| 5 | may 1 , 2004 | louisville fire | w 59 - 51 | 4 - 0 | wachovia arena |\n| 6 | may 8 , 2004 | albany conquest | l 52 - 54 | 4 - 1 | times union center |\n| 7 | may 15 , 2004 | peoria pirates | w 33 - 30 | 5 - 1 | carver arena |\n| 8 | may 22 , 2004 | cape fear wildcats | w 48 - 41 | 6 - 1 | wachovia arena |\n| 9 | may 29 , 2004 | louisville fire | l 48 - 47 | 6 - 2 | freedom hall |\n| 10 | june 5 , 2004 | manchester wolves | w 57 - 41 | 7 - 2 | wachovia arena |\n| 11 | june 12 , 2004 | quad city steamwheelers | w 46 - 39 | 8 - 2 | i wireless center |\n| 12 | june 18 , 2004 | albany conquest | w 69 - 43 | 9 - 2 | times union center |\n| 13 | june 26 , 2004 | cape fear wildcats | l 57 - 49 | 9 - 3 | wachovia arena |\n| 15 | july 10 , 2004 | manchester wolves | w 61 - 42 | 10 - 3 | wachovia arena |\n| 16 | july 17 , 2004 | albany conquest | w 55 - 31 | 11 - 3 | wachovia arena |\n| 17 | july 24 , 2004 | cape fear wildcats | w 53 - 46 | 12 - 3 | crown coliseum |\n| 18 | july 30 , 2004 | manchester wolves | w 44 - 37 | 13 - 3 | verizon wireless arena |" + }, + { + "from": "human", + "value": "Give you a table picture about 'scranton pioneers season', determine whether the following claim is confirmed or opposed by the table's content. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\n\nthe game played on april 10 , 2004 was located at the wachovia arena game site" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the claim is true. So, the answer is {\"answer\": \"confirmed\"}." + }, + { + "from": "human", + "value": "Examine the table titled 'scranton pioneers season' and judge whether the table upholds or challenges the following statement. Output the final answer as JSON in the format {\"answer\": \"\"}.\nwachovia arena was the game site that hosted the match on april 10 , 2014" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it challenges the statement. So, the answer is {\"answer\": \"challenges\"}." + }, + { + "from": "human", + "value": "Table title: scranton pioneers season\nsentence: the game on may 1 , 2004 was rained out and not played\nPlease distinguish whether the above sentence is substantiated or refuted by the table information. Show your final answer in the JSON format {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "According to the table, the sentence is refuted by the table information. Therefore, the final answer: {\"answer\": \"refuted\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_3359", + "image": "table_instructV/images/Rotowire_train_table_2506.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Timberwolves | Minnesota | 91 | 25 | 21 | 21 | 24 | 18 | 50 | 12 | 38 | 74 | 36 | 11 | 42 | | | | |\n| Warriors | Golden State | 94 | 28 | 28 | 17 | 21 | 26 | 49 | 15 | 44 | 78 | 26 | 42 | 9 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Kevin Martin | 36 | 21 | 5 | 1 | 9-19 | 47% | 3-5 | 60% | 0-0 | 0% | 1 | 2 | 0 | 1 | 4 | 4 | G | Minnesota |\n| Ricky Rubio | 32 | 18 | 9 | 5 | 7-16 | 44% | 2-5 | 40% | 2-2 | 100% | 3 | 4 | 0 | 1 | 8 | 4 | G | Minnesota |\n| Nikola Pekovic | 34 | 17 | 13 | 4 | 6-13 | 46% | 0-0 | 0% | 5-7 | 71% | 0 | 0 | 2 | 4 | 9 | 0 | C | Minnesota |\n| Thaddeus Young | 37 | 15 | 7 | 0 | 7-14 | 50% | 0-2 | 0% | 1-2 | 50% | 1 | 1 | 0 | 1 | 6 | 1 | F | Minnesota |\n| Andrew Wiggins | 38 | 6 | 4 | 4 | 3-7 | 43% | 0-1 | 0% | 0-0 | 0% | 2 | 1 | 0 | 2 | 2 | 3 | F | Minnesota |\n| Shabazz Muhammad | 14 | 6 | 4 | 0 | 1-4 | 25% | 0-1 | 0% | 4-4 | 100% | 0 | 0 | 0 | 0 | 4 | 0 | N/A | Minnesota |\n| Anthony Bennett | 11 | 4 | 3 | 0 | 0-3 | 0% | 0-0 | 0% | 4-4 | 100% | 0 | 1 | 0 | 0 | 3 | 1 | N/A | Minnesota |\n| Gorgui Dieng | 14 | 2 | 2 | 2 | 0-5 | 0% | 0-0 | 0% | 2-4 | 50% | 0 | 1 | 0 | 1 | 1 | 0 | N/A | Minnesota |\n| Chase Budinger | 8 | 1 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Minnesota |\n| Zach LaVine | 16 | 1 | 2 | 2 | 0-4 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 1 | 1 | 1 | N/A | Minnesota |\n| Adreian Payne | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Glenn Robinson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Lorenzo Brown | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 36 | 25 | 5 | 8 | 9-23 | 39% | 2-10 | 20% | 5-5 | 100% | 3 | 3 | 0 | 2 | 3 | 1 | G | Golden State |\n| Klay Thompson | 30 | 14 | 2 | 0 | 5-14 | 36% | 3-7 | 43% | 1-2 | 50% | 0 | 3 | 2 | 0 | 2 | 0 | G | Golden State |\n| Andrew Bogut | 32 | 10 | 10 | 3 | 5-10 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 4 | 0 | 3 | 7 | 5 | C | Golden State |\n| Leandro Barbosa | 19 | 10 | 1 | 1 | 5-10 | 50% | 0-4 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 0 | 1 | N/A | Golden State |\n| Harrison Barnes | 23 | 8 | 7 | 1 | 3-7 | 43% | 2-3 | 67% | 0-0 | 0% | 0 | 2 | 0 | 2 | 5 | 2 | F | Golden State |\n| Marreese Speights | 15 | 8 | 5 | 0 | 4-10 | 40% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 5 | 3 | N/A | Golden State |\n| Andre Iguodala | 24 | 8 | 1 | 4 | 4-4 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 1 | 0 | 1 | 4 | N/A | Golden State |\n| Shaun Livingston | 13 | 4 | 3 | 4 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 0 | 3 | 0 | N/A | Golden State |\n| David Lee | 13 | 4 | 2 | 0 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 0 | 2 | 0 | N/A | Golden State |\n| Draymond Green | 36 | 3 | 13 | 5 | 1-6 | 17% | 0-2 | 0% | 1-2 | 50% | 2 | 0 | 1 | 2 | 11 | 2 | F | Golden State |\n| Justin Holiday | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Festus Ezeli | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Brandon Rush | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |" + }, + { + "from": "human", + "value": "Examine the tables showing the statistics of an NBA basketball game played by Timberwolves and Warriors on 11th February, 2015. Use the information to compose an in-depth summary of the game's events." + }, + { + "from": "gpt", + "value": "The Golden State Warriors (42-9) narrowly escaped an upset loss to the Minnesota Timberwolves (11-42), barely edging them out 94-91. Minnesota went on a 120 run in the fourth quarter to pull within two points of the Warriors, but was unable to finish the comeback. Golden State 's Steph Curry finished with 25 points and eight assists and Klay Thompson was held to 14 points. The Warriors survived a scare against to enter the All-Star break on having won six of its last seven games. Draymond Green was able to play despite a sprained ankle. Green finished with 13 rebounds and three points in 36 minutes on the floor. The Warriors have a three-game cushion over the Grizzlies for the top seed in the Western Conference. Minnesota lost its second straight game Wednesday, but both of those losses came to the top seeds in the Eastern and Western conference. Ricky Rubio finished with 18 points and nine rebounds and Nikola Pekovic finished with a double-double. The Timberwolves will resume play Feb. 20 against the Suns." + } + ] + }, + { + "id": "table_instructV_multi_round_3391", + "image": "table_instructV/images/TabFact_1-1341577-47.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| district | incumbent | party | first elected | result | candidates |\n| --- | --- | --- | --- | --- | --- |\n| virginia 3 | thomas j bliley , jr | republican | 1980 | re - elected | thomas j bliley , jr (r) unopposed |\n| virginia 4 | norman sisisky | democratic | 1982 | re - elected | norman sisisky (d) unopposed |\n| virginia 6 | jim olin | democratic | 1982 | re - elected | jim olin (d) 63.9% charles e judd (r) 36.1% |\n| virginia 7 | d french slaughter , jr | republican | 1984 | re - elected | d french slaughter , jr (r) unopposed |\n| virginia 9 | rick boucher | democratic | 1982 | re - elected | rick boucher (d) 63.4% john c brown (r) 36.6% |" + }, + { + "from": "human", + "value": "Examine whether the table upholds or challenges the subsequent sentence. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\ntable title: 'united states house of representatives elections , 1988'\nsentence: re - elected was the result of the election for the democratic party in the virginia 3 district" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the sentence is false. Consequently, the answer is {\"answer\": \"challenges\"}." + }, + { + "from": "human", + "value": "Presented with a table with the title 'united states house of representatives elections , 1988', distinguish whether the table substantiates or challenges the following claim. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nclaim: thomas j bailey jr ran unopposed for the district virginia 3 election" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it substantiates the claim. Hence, the answer is {\"answer\": \"substantiates\"}." + }, + { + "from": "human", + "value": "This is a table image titled 'united states house of representatives elections , 1988', help me determine if the table upholds or contradicts the following sentence. Output the final answer as JSON in the format {\"answer\": \"\"}.\nthe incumbent was re - elected in virginia 's 3rd district" + }, + { + "from": "gpt", + "value": "Based on the table, the sentence holds true. Thus, the final answer is {\"answer\": \"upholds\"}." + }, + { + "from": "human", + "value": "Inspect the given table and provide the values of cells found at the specified positions, determined by row and column indices. Represent each cell value in the JSON format {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"\"}. For instance, {\"row_id\":\"5\", \"column_id\":\"4\", \"cell_value\":\"missouri 4\"}.\nPositions:\nrow 3 and column 4\nrow 2 and column 6\nrow 3 and column 1\nrow 4 and column 5\nrow 5 and column 3\nrow 4 and column 3\nrow 5 and column 2\nrow 2 and column 4\nrow 5 and column 6" + }, + { + "from": "gpt", + "value": "The target cell values are as follows:\n{\"row_id\":\"3\", \"column_id\":\"4\", \"cell_value\":\"1982\"}\n{\"row_id\":\"2\", \"column_id\":\"6\", \"cell_value\":\"thomas j bliley , jr (r) unopposed\"}\n{\"row_id\":\"3\", \"column_id\":\"1\", \"cell_value\":\"virginia 4\"}\n{\"row_id\":\"4\", \"column_id\":\"5\", \"cell_value\":\"re - elected\"}\n{\"row_id\":\"5\", \"column_id\":\"3\", \"cell_value\":\"republican\"}\n{\"row_id\":\"4\", \"column_id\":\"3\", \"cell_value\":\"democratic\"}\n{\"row_id\":\"5\", \"column_id\":\"2\", \"cell_value\":\"d french slaughter , jr\"}\n{\"row_id\":\"2\", \"column_id\":\"4\", \"cell_value\":\"1980\"}\n{\"row_id\":\"5\", \"column_id\":\"6\", \"cell_value\":\"d french slaughter , jr (r) unopposed\"}" + }, + { + "from": "human", + "value": "Watch the table in this image and convert it into a Latex table in the text form." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|c|}\n\\hline\n district & incumbent & party & first elected & result & candidates \\\\\n\\hline\n virginia 3 & thomas j bliley , jr & republican & 1980 & re - elected & thomas j bliley , jr (r) unopposed \\\\\n\\hline\n virginia 4 & norman sisisky & democratic & 1982 & re - elected & norman sisisky (d) unopposed \\\\\n\\hline\n virginia 6 & jim olin & democratic & 1982 & re - elected & jim olin (d) 63.9\\% charles e judd (r) 36.1\\% \\\\\n\\hline\n virginia 7 & d french slaughter , jr & republican & 1984 & re - elected & d french slaughter , jr (r) unopposed \\\\\n\\hline\n virginia 9 & rick boucher & democratic & 1982 & re - elected & rick boucher (d) 63.4\\% john c brown (r) 36.6\\% \\\\\n\\hline\n\\end{tabular}" + } + ] + }, + { + "id": "table_instructV_multi_round_3491", + "image": "table_instructV/images/TAT-QA_dbf30b93-4442-4378-83c4-cbd8e4acf00d.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | Fiscal Year | |\n| --- | --- | --- |\n| ($ in millions) | 2018 | 2017 |\n| Net sales | $2,157.7 | $1,797.6 |\n| Less: surcharge revenue | 365.4 | 239.2 |\n| Net sales excluding surcharge revenue | $1,792.3 | $1,558.4 |\n| Operating income | $189.3 | $121.5 |\n| Special items: | | |\n| Loss on divestiture of business | — | 3.2 |\n| Adjusted operating income excluding special items | $189.3 | $124.7 |\n| Operating margin | 8.8% | 6.8% |\n| Adjusted operating margin excluding surcharge revenue and special items | 10.6% | 8.0% |" + }, + { + "from": "human", + "value": "Answer the question based on this table. Present the final answer in a JSON format {\"answer\": []}.\nQuestion: In which year was the operating margin larger?\nAnswer: " + }, + { + "from": "gpt", + "value": "Because 8.8%>6.8%, the final answer is {\"answer\": [\"2018\"]}." + }, + { + "from": "human", + "value": "Analyze the table and respond to the question that follows. Conclude your response with a final answer in the JSON format {\"answer\": []}.\nWhat was the percentage change in operating income in 2018 from 2017?" + }, + { + "from": "gpt", + "value": "To answer the given question, we need to conduct the following computations:\n(189.3-121.5)/121.5 = 55.8\nTherefore, the final answer is {\"answer\": [\"55.8\"]}." + }, + { + "from": "human", + "value": "Answer the following question in detail based on the table image. Return the final result as JSON in the format {\"answer\": []}.\nWhat was the change in operating income in 2018 from 2017?" + }, + { + "from": "gpt", + "value": "Based on the given table:\n189.3-121.5 = 67.8\nTherefore, the answer is {\"answer\": [\"67.8\"]}." + }, + { + "from": "human", + "value": "For the shown table, how many rows and columns are there? Show your final answer in the JSON format {\"row_number\": \"m\", \"column_number\": \"n\"}." + }, + { + "from": "gpt", + "value": "This table has 11 rows and 3 columns. Thus, the final answer is {\"row_number\": \"11\", \"column_number\": \"3\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_3634", + "image": "table_instructV/images/TabFact_2-17080033-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| date | venue | score | competition | report |\n| --- | --- | --- | --- | --- |\n| june 17 , 2007 | estádio campo desportivo , macau | 10 - 0 | eac | eaff |\n| june 19 , 2007 | estádio campo desportivo , macau | 1 - 1 | eac | eaff |\n| june 24 , 2007 | estádio campo desportivo , macau | 7 - 2 | eac | eaff |\n| october 13 , 2007 | central army stadium , tashkent (a) | 0 - 9 | wcq | fifa |\n| october 28 , 2007 | chungshan soccer stadium , taipei (h) | 0 - 2 | wcq | fifa |" + }, + { + "from": "human", + "value": "Examine the table image with the title '2007 in taiwanese football', classify whether the claim is entailed or disputed based on the table's content and title. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nclaim: the game played at chungshan soccer stadium took place after the game played at central army stadium" + }, + { + "from": "gpt", + "value": "According to the table, the claim is entailed by the table information. Therefore, the final answer: {\"answer\": \"entailed\"}." + }, + { + "from": "human", + "value": "Analyze the table picture about '2007 in taiwanese football' and classify whether the next hypothesis is substantiated or disputed by the table. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\n\nthe game played at chungshan soccer stadium took place before the game played at central army stadium" + }, + { + "from": "gpt", + "value": "By using the table as supporting evidence, it is evident that the hypothesis is incorrect. Consequently, the answer is {\"answer\": \"disputed\"}." + }, + { + "from": "human", + "value": "This is a table named '2007 in taiwanese football', please determine whether the given sentence is supported or refuted by the table information. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nthe game score was tied 1 - 1 on june 24 , 2007" + }, + { + "from": "gpt", + "value": "According to the table, the sentence is refuted by the table information. Therefore, the final answer: {\"answer\": \"refuted\"}." + }, + { + "from": "human", + "value": "Extract the content of the cell at the 6th row and the 5th column in this table. Show the cell value in the JSON format {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"\"}." + }, + { + "from": "gpt", + "value": "The target cell value in the 6th row and the 5th column is {\"row_id\":\"6\", \"column_id\":\"5\", \"cell_value\":\"fifa\"}." + }, + { + "from": "human", + "value": "This is a table image titled '2007 in taiwanese football', help me determine if the table supports or refutes the following sentence. Show your final answer in the JSON format {\"answer\": \"\"}.\nless games were played in october than in june" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it supports the sentence. So, the answer is {\"answer\": \"supports\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_3793", + "image": "table_instructV/images/TabFact_2-18178608-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| opposing teams | against | date | venue | status |\n| --- | --- | --- | --- | --- |\n| scotland | 18 | 04 / 02 / 1984 | murrayfield , edinburgh | five nations |\n| ireland | 9 | 18 / 02 / 1984 | twickenham , london | five nations |\n| france | 32 | 03 / 03 / 1984 | parc des princes , paris | five nations |\n| wales | 24 | 17 / 03 / 1984 | twickenham , london | five nations |\n| south africa | 33 | 02 / 06 / 1984 | boet erasmus stadium , port elizabeth | first test |\n| south africa | 35 | 19 / 06 / 1984 | ellis park , johannesburg | second test |\n| australia | 19 | 03 / 11 / 1984 | twickenham , london | test match |" + }, + { + "from": "human", + "value": "Give you a table titled 'list of england national rugby union team results 1980 - 89' and a claim which is 'second test has an against of 44', select the correct relation between the table and the claim based on the table information. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\n\n(A) affirms (the claim is true)\n(B) disproves (the claim is false)" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it disproves the claim. So, the answer is {\"answer\": \"disproves\"}." + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following claim is substantiated or opposed by the table. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\ntable title:list of england national rugby union team results 1980 - 89\nclaim: 35 against played south africa at ellis park , johannesburg and had a second test status" + }, + { + "from": "gpt", + "value": "According to the table, the claim is substantiated by the table information. Therefore, the final answer: {\"answer\": \"substantiated\"}." + }, + { + "from": "human", + "value": "Examine whether the table entails or conflicts with the subsequent statement. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\ntable title: 'list of england national rugby union team results 1980 - 89'\nstatement: the against on the second test is 35" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it entails the statement. So, the answer is {\"answer\": \"entails\"}." + }, + { + "from": "human", + "value": "Your task is to examine the table in the image and deliver an HTML text version of the reconstructed table." + }, + { + "from": "gpt", + "value": "\n\n\n\n\n\n\n\n\n
opposing teams against date venue status
scotland 18 04 / 02 / 1984 murrayfield , edinburgh five nations
ireland 9 18 / 02 / 1984 twickenham , london five nations
france 32 03 / 03 / 1984 parc des princes , paris five nations
wales 24 17 / 03 / 1984 twickenham , london five nations
south africa 33 02 / 06 / 1984 boet erasmus stadium , port elizabeth first test
south africa 35 19 / 06 / 1984 ellis park , johannesburg second test
australia 19 03 / 11 / 1984 twickenham , london test match
" + }, + { + "from": "human", + "value": "Analyze this table picture about 'list of england national rugby union team results 1980 - 89' and classify whether the given table upholds or conflicts with the sentence. Show your final answer in the JSON format {\"answer\": \"\"}.\n\n20.0 is the average against fora test match" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it conflicts with the sentence. Hence, the answer is {\"answer\": \"conflicts with\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_3834", + "image": "table_instructV/images/TabFact_2-16311967-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| date | time | opponent | score | site | city |\n| --- | --- | --- | --- | --- | --- |\n| 03 / 03 / 07 | 12:00 pm | maryland | 3 - 14 | recreration field 1 | college park |\n| 03 / 03 / 07 | 2:00 pm | washington college | 3 - 13 | recreration field 1 | college park |\n| 03 / 07 / 07 | 5:00 pm | johns hopkins | 1 - 13 | homewood field | baltimore |\n| 03 / 10 / 07 | 4:00 pm | salisbury | 4 - 13 | intramural fields | salisbury , md |\n| 03 / 11 / 07 | 2:15 pm | mt st mary 's | 6 - 4 | mt st mary 's | emmitsburg , md |\n| 03 / 11 / 07 | 3:00 pm | frostburg | 8 - 9 | mt st mary 's | emmitsburg , md |\n| 3 / 30 / 07 | 7:00 pm | navy | 1 - 8 | rip miller field | annaoplis |\n| 3 / 31 / 07 | 4:00 pm | umbc | 9 - 8 | umbc club fields | catonsville , md |\n| 4 / 01 / 07 | 2:00 pm | loyola | 2 - 15 | geppi - aikens field | baltimore , md |\n| 4 / 07 / 07 | 2:00 pm | delaware | 5 - 17 | frazier field | newark , de |\n| 4 / 14 / 07 | 4:00 pm | howard | 9 - 4 | herring run park | baltimore , md |\n| 4 / 15 / 07 | 6:00 pm | johns hopkins | 8 - 9 | homewood field | baltimore , md |\n| 4 / 28 / 07 | 2:00 pm | university of baltimore | 3 - 14 | mt washington field | baltimore , md |" + }, + { + "from": "human", + "value": "Examine the table image with the title 'none', classify whether the statement is supported or contradicted based on the table's content and title. Output the final answer as JSON in the format {\"answer\": \"\"}.\nstatement: the baltimore game is after 5 pm" + }, + { + "from": "gpt", + "value": "Based on the table information, the statement is not true. Thus, the answer is {\"answer\": \"contradicted\"}." + }, + { + "from": "human", + "value": "Presented with a table with the title 'none', distinguish whether the table affirms or disputes the following sentence. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nsentence: on march 30th , 2007 the score was 1 - 8" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table affirms the validity of the sentence. Therefore, the final answer: {\"answer\": \"affirms\"}." + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following statement is affirmed or disproved by the table. Show your final answer in the JSON format {\"answer\": \"\"}.\ntable title:none\nstatement: on 3 / 30 / 07 , the opponent was the university of baltimore , and the score was 8 - 9" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the statement is not valid. Hence, the answer is {\"answer\": \"disproved\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title 'none', and determine whether the given claim is upheld or disproved by the table information. Output the final answer as JSON in the format {\"answer\": \"\"}.\nclaim: the game in baltimore against johns hopkins is at 5 pm" + }, + { + "from": "gpt", + "value": "Based on the table information, the claim is true. Thus, the answer is {\"answer\": \"upheld\"}." + }, + { + "from": "human", + "value": "From the provided table image, locate any cells that are merged and list their regions as {'top-left':(X, Y), 'bottom-right':(Z, W)}, with (X, Y) indicating the (row_id, column_id) of top-left cell and (Z, W) the bottom-right cell. Both the row_id and column_id start from 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + } + ] + }, + { + "id": "table_instructV_multi_round_3873", + "image": "table_instructV/images/TAT-QA_8bb5a9d9-9c61-493b-8065-1dd51b629efe.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| | | Three months ended | | |\n| --- | --- | --- | --- | --- |\n| | March 31, 2018 | June 30, 2018 | September 30, 2018 | December 31, 2018 |\n| | | (in thousands, except share and per share amounts) | | |\n| Service revenue | $128,706 | $129,296 | $130,139 | $132,049 |\n| Network operations, including equity-based compensation expense | 54,875 | 54,379 | 54,615 | 55,660 |\n| Gains on equipment transactions | 117 | 357 | 416 | 92 |\n| Operating income | 20,637 | 21,354 | 22,255 | 22,311 |\n| Net income | 6,784 | 6,552 | 8,231 | 7,100 |\n| Net income per common share—basic and diluted | 0.15 | 0.15 | 0.18 | 0.16 |\n| Weighted-average number of common shares—basic | 44,923,973 | 45,016,767 | 45,105,830 | 45,284,481 |\n| Weighted-average number of common shares—diluted | 45,294,697 | 45,536,473 | 45,699,635 | 45,803,418 |" + }, + { + "from": "human", + "value": "For the table shown in this image, can you tell me the row and column numbers of this table? Return the result as JSON in the format {\"row_number\": \"m\", \"column_number\": \"n\"}, e.g., {\"row_number\": \"12\", \"column_number\": \"7\"}." + }, + { + "from": "gpt", + "value": "This table has 11 rows and 5 columns. Thus, the final answer is {\"row_number\": \"11\", \"column_number\": \"5\"}." + }, + { + "from": "human", + "value": "Your is as follows:\nExamine the table image and determine the locations of the mentioned cells. You need to express a cell's position with the JSON {'value': '', 'location': (row number, column number)}, with row and column number both commencing from 1. For the case where a cell is not contained in the table, its location should be denoted as 'DOES NOT EXIST'.\nCells to locate:\n(1) '45,284,481',\n(2) 'Net income per common share—basic and diluted',\n(3) 'Swings',\n(4) '54,615',\n(5) 'Net income',\n(6) '357',\n(7) '92'," + }, + { + "from": "gpt", + "value": "The target cell locations are as follows:\n(1) {'value': '45,284,481', 'location': (10, 5)}\n(2) {'value': 'Net income per common share—basic and diluted', 'location': (9, 1)}\n(3) {'value': 'Swings', 'location': 'DOES NOT EXIST'}\n(4) {'value': '54,615', 'location': (5, 4)}\n(5) {'value': 'Net income', 'location': (8, 1)}\n(6) {'value': '357', 'location': (6, 3)}\n(7) {'value': '92', 'location': (6, 5)}" + }, + { + "from": "human", + "value": "Based on the table picture, can you briefly answer the following question: \nWhat are the respective service revenue at June 30 and September 30, 2018?\n\nThe concluding answer should be in the JSON structure, formatted as {\"answer\": []}. For instance, {\"answer\": [\"23\", \"14.5\"]}." + }, + { + "from": "gpt", + "value": "Based on the table information, the answer is {\"answer\": [\"$129,296\", \"$130,139\"]}." + }, + { + "from": "human", + "value": "Watch the table in this image and convert it into a Latex table in the text form." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|}\n\\hline\n & & Three months ended & & \\\\\n\\hline\n & March 31, 2018 & June 30, 2018 & September 30, 2018 & December 31, 2018 \\\\\n\\hline\n & & (in thousands, except share and per share amounts) & & \\\\\n\\hline\n Service revenue & \\$128,706 & \\$129,296 & \\$130,139 & \\$132,049 \\\\\n\\hline\n Network operations, including equity-based compensation expense & 54,875 & 54,379 & 54,615 & 55,660 \\\\\n\\hline\n Gains on equipment transactions & 117 & 357 & 416 & 92 \\\\\n\\hline\n Operating income & 20,637 & 21,354 & 22,255 & 22,311 \\\\\n\\hline\n Net income & 6,784 & 6,552 & 8,231 & 7,100 \\\\\n\\hline\n Net income per common share—basic and diluted & 0.15 & 0.15 & 0.18 & 0.16 \\\\\n\\hline\n Weighted-average number of common shares—basic & 44,923,973 & 45,016,767 & 45,105,830 & 45,284,481 \\\\\n\\hline\n Weighted-average number of common shares—diluted & 45,294,697 & 45,536,473 & 45,699,635 & 45,803,418 \\\\\n\\hline\n\\end{tabular}" + }, + { + "from": "human", + "value": "What is the total service revenue at March 31 and June 30, 2018?\nCarefully answer the question according to the table. Provide a concluding answer in a JSON structure, using the format {\"answer\": []} such as {\"answer\": [\"20\", \"apple\"]}." + }, + { + "from": "gpt", + "value": "Using the number listed in the table, we have the following computations: ($128706 + $129296) = 258002\n\nAs a result, the final answer is {\"answer\": [\"258002\"]}." + }, + { + "from": "human", + "value": "Answer the following question concisely based on the table image. Conclude your response with a final answer in the JSON format {\"answer\": []}.\nWhat are the respective service revenue at September 30 and December 31, 2018?" + }, + { + "from": "gpt", + "value": "According to the table, the final answer is {\"answer\": [\"$130,139\", \"$132,049\"]}." + }, + { + "from": "human", + "value": "Based on the given table, what are the contents of the cells in the following positions in the table? Represent each cell value in the JSON format {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"\"}. For instance, {\"row_id\":\"5\", \"column_id\":\"4\", \"cell_value\":\"missouri 4\"}.\nrow 8 and column 5,\nrow 2 and column 5,\nrow 5 and column 2,\nrow 7 and column 5,\nrow 4 and column 2,\nrow 10 and column 3,\nrow 10 and column 1," + }, + { + "from": "gpt", + "value": "The target cell values are as follows:\n{\"row_id\":\"8\", \"column_id\":\"5\", \"cell_value\":\"7,100\"}\n{\"row_id\":\"2\", \"column_id\":\"5\", \"cell_value\":\"December 31, 2018\"}\n{\"row_id\":\"5\", \"column_id\":\"2\", \"cell_value\":\"54,875\"}\n{\"row_id\":\"7\", \"column_id\":\"5\", \"cell_value\":\"22,311\"}\n{\"row_id\":\"4\", \"column_id\":\"2\", \"cell_value\":\"$128,706\"}\n{\"row_id\":\"10\", \"column_id\":\"3\", \"cell_value\":\"45,016,767\"}\n{\"row_id\":\"10\", \"column_id\":\"1\", \"cell_value\":\"Weighted-average number of common shares—basic\"}" + }, + { + "from": "human", + "value": "With reference to the depicted table, kindly offer a succinct answer to the following question. Besides, your final answer should be in the JSON format {\"answer\": []} such as {\"answer\": [\"87.56\", \"12.43\"]}.\nQuestion: What are the respective service revenue at March 31 and June 30, 2018?" + }, + { + "from": "gpt", + "value": "Based on the table information, the answer is {\"answer\": [\"$128,706\", \"$129,296\"]}." + }, + { + "from": "human", + "value": "The image shows a table. Answer the following question based on the table. Format the ultimate answer as a JSON, using the structure {\"answer\": []}.\nWhat is the average service revenue at June 30 and September 30, 2018?" + }, + { + "from": "gpt", + "value": "According to this table, we have the following calculations: ($129296 + $130139)/2 = 129717.5.\nThus, the answer is {\"answer\": [\"129717.5\"]}." + }, + { + "from": "human", + "value": "Give you a table.\nShow your answer to the following question:\nWhat is the percentage change in the service revenue between September 30 and December 31, 2018?\nPresent the final answer in a JSON format {\"answer\": []}." + }, + { + "from": "gpt", + "value": "According to this table, we have the following calculations: ($132049 - $130139)/$130139 = 1.47.\nThus, the answer is {\"answer\": [\"1.47\"]}." + } + ] + }, + { + "id": "table_instructV_multi_round_3920", + "image": "table_instructV/images/TabFact_2-1004125-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| pick | mls team | player | position | affiliation |\n| --- | --- | --- | --- | --- |\n| 51 | chicago fire | ryan mcgowan | m | seton hall university |\n| 52 | columbus crew | matthew haefner | gk | university of pennsylvania |\n| 53 | los angeles galaxy | alan gordon | f | oregon state university |\n| 54 | dallas burn | edwin miranda | d | cal state northridge |\n| 55 | colorado rapids | john pulido | m | florida international university |\n| 56 | new england revolution | fãlix brillant | f | franklin pierce college |\n| 57 | los angeles galaxy | chris aloisi | d | syracuse university |\n| 58 | new england revolution | andy dorman | m | boston university |\n| 59 | chicago fire | tony mcmanus | d | uab |\n| 60 | metrostars | jeff parke | d | drexel university |" + }, + { + "from": "human", + "value": "Reconstruct the table in this picture as a latex-style table in text." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|}\n\\hline\n pick & mls team & player & position & affiliation \\\\\n\\hline\n 51 & chicago fire & ryan mcgowan & m & seton hall university \\\\\n\\hline\n 52 & columbus crew & matthew haefner & gk & university of pennsylvania \\\\\n\\hline\n 53 & los angeles galaxy & alan gordon & f & oregon state university \\\\\n\\hline\n 54 & dallas burn & edwin miranda & d & cal state northridge \\\\\n\\hline\n 55 & colorado rapids & john pulido & m & florida international university \\\\\n\\hline\n 56 & new england revolution & fãlix brillant & f & franklin pierce college \\\\\n\\hline\n 57 & los angeles galaxy & chris aloisi & d & syracuse university \\\\\n\\hline\n 58 & new england revolution & andy dorman & m & boston university \\\\\n\\hline\n 59 & chicago fire & tony mcmanus & d & uab \\\\\n\\hline\n 60 & metrostars & jeff parke & d & drexel university \\\\\n\\hline\n\\end{tabular}" + }, + { + "from": "human", + "value": "Analyze the table's content, including its title '2004 mls superdraft', and determine whether the table substantiates or challenges the given claim. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nclaim: uab is the affiliation for pick number less than 45 and position for m" + }, + { + "from": "gpt", + "value": "Based on the table, the claim can not hold true. Thus, the final answer is {\"answer\": \"challenges\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title '2004 mls superdraft', and determine whether the given claim is supported or opposed by the table information. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nclaim: university of pennsylvania is the affiliation for pick number 52 in the gk position" + }, + { + "from": "gpt", + "value": "According to the table, the claim is supported by the table information. Therefore, the final answer: {\"answer\": \"supported\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_3977", + "image": "table_instructV/images/Rotowire_train_table_1944.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Raptors | Toronto | 116 | 24 | 23 | 23 | 34 | 15 | 46 | 16 | 48 | 79 | 26 | 45 | 32 | | | | |\n| Celtics | Boston | 117 | 15 | 32 | 34 | 23 | 26 | 44 | 15 | 49 | 68 | 31 | 35 | 42 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| DeMar DeRozan | 43 | 38 | 1 | 3 | 14-25 | 56% | 0-1 | 0% | 10-12 | 83% | 1 | 6 | 0 | 0 | 1 | 1 | G | Toronto |\n| Lou Williams | 34 | 27 | 2 | 4 | 9-17 | 53% | 3-8 | 38% | 6-8 | 75% | 1 | 3 | 1 | 1 | 1 | 3 | N/A | Toronto |\n| Tyler Hansbrough | 36 | 18 | 8 | 0 | 5-5 | 100% | 0-0 | 0% | 8-8 | 100% | 2 | 1 | 1 | 1 | 7 | 6 | F | Toronto |\n| Jonas Valanciunas | 33 | 12 | 14 | 2 | 5-12 | 42% | 0-0 | 0% | 2-3 | 67% | 0 | 1 | 1 | 2 | 12 | 4 | C | Toronto |\n| James Johnson | 15 | 9 | 1 | 0 | 3-4 | 75% | 0-0 | 0% | 3-5 | 60% | 0 | 0 | 0 | 0 | 1 | 3 | N/A | Toronto |\n| Greivis Vasquez | 37 | 8 | 4 | 3 | 3-9 | 33% | 2-6 | 33% | 0-0 | 0% | 1 | 4 | 0 | 1 | 3 | 3 | G | Toronto |\n| Terrence Ross | 30 | 4 | 7 | 1 | 1-3 | 33% | 1-3 | 33% | 1-2 | 50% | 0 | 0 | 0 | 1 | 6 | 0 | F | Toronto |\n| Charles Hayes | 5 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 2 | 0 | 0 | N/A | Toronto |\n| Patrick Patterson | 32 | 0 | 7 | 2 | 0-7 | 0% | 0-5 | 0% | 0-0 | 0% | 2 | 1 | 1 | 1 | 6 | 2 | N/A | Toronto |\n| Amir Johnson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Greg Stiemsma | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Bruno Caboclo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Landry Fields | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Isaiah Thomas | 27 | 25 | 2 | 4 | 10-19 | 53% | 3-8 | 38% | 2-2 | 100% | 0 | 4 | 0 | 0 | 2 | 0 | N/A | Boston |\n| Tyler Zeller | 25 | 20 | 9 | 3 | 8-10 | 80% | 0-0 | 0% | 4-6 | 67% | 0 | 0 | 0 | 2 | 7 | 5 | C | Boston |\n| Evan Turner | 42 | 18 | 6 | 10 | 9-17 | 53% | 0-2 | 0% | 0-0 | 0% | 3 | 4 | 0 | 1 | 5 | 5 | F | Boston |\n| Kelly Olynyk | 24 | 16 | 2 | 0 | 5-10 | 50% | 2-5 | 40% | 4-4 | 100% | 2 | 3 | 1 | 1 | 1 | 3 | N/A | Boston |\n| Marcus Smart | 32 | 15 | 4 | 4 | 6-9 | 67% | 2-5 | 40% | 1-3 | 33% | 2 | 2 | 1 | 1 | 3 | 1 | G | Boston |\n| Brandon Bass | 26 | 11 | 3 | 1 | 4-9 | 44% | 0-0 | 0% | 3-5 | 60% | 0 | 0 | 0 | 1 | 2 | 4 | F | Boston |\n| Avery Bradley | 38 | 7 | 4 | 1 | 3-13 | 23% | 1-3 | 33% | 0-0 | 0% | 1 | 0 | 0 | 0 | 4 | 2 | G | Boston |\n| Jae Crowder | 30 | 3 | 4 | 3 | 1-4 | 25% | 0-2 | 0% | 1-2 | 50% | 0 | 0 | 1 | 0 | 4 | 5 | N/A | Boston |\n| Jonas Jerebko | 9 | 2 | 3 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 2 | 1 | 1 | N/A | Boston |\n| Jared Sullinger | 12 | 0 | 7 | 0 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 2 | 2 | 1 | 4 | 3 | 2 | N/A | Boston |\n| Phil Pressey | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Gigi Datome | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Gerald Wallace | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |" + }, + { + "from": "human", + "value": "Generate a detailed match report for the NBA game on 04/04/2015. The game statistics are shown in the given picture." + }, + { + "from": "gpt", + "value": "The Boston Celtics (35-42) defeated the Toronto Raptors (45-32) in a 117-116 overtime thriller Saturday at the Air Canada Centre. Boston had a six point lead with under two minutes to go in the fourth, but DeMar DeRozan had eight points in the final 1:23 to send this game into overtime. The Celtics and Raptors traded baskets in the extra period, with three lead changes in the final 32 seconds. Toronto 's Louis Williams canned the go-ahead three with four seconds to go, but Marcus Smart answered with a buzzer beater to give the Celtics the win. Boston will look to tie the season series at two games apiece when they meet again April 14. Boston gained ground on Miami and Brooklyn on Saturday after the Heat and Nets both lost. The Celtics moved ahead of the Heat for the eighth and final spot in the East with Saturday 's thrilling victory. Isaiah Thomas was a difference maker again off the bench, scoring a team-high 25 points. The Celtics have five games remaining, with three of those games coming against playoff bound teams. Boston will be off until Wednesday when they take on Detroit. Toronto dropped both games of a back-to-back set after Saturday 's loss at home. The Raptors lost those two games by six points combined. DeMar DeRozan was prolific in his 43 minutes on the floor, pouring in 38 points. Louis Williams was a big contributor off the bench with 27 points. Kyle Lowry was sidelined again with a back issue that has lingered since late March. The Raptors will be off until Wednesday as well when they travel to Charlotte to take on the Hornets." + } + ] + }, + { + "id": "table_instructV_multi_round_4014", + "image": "table_instructV/images/TabFact_2-13793279-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| name | circuit | date | winning driver | winning constructor | report |\n| --- | --- | --- | --- | --- | --- |\n| targa florio | madonie | 22 april | felice nazzaro | fiat | report |\n| moscow - st petersburg | public roads | 7 june | arthur duray | lorraine - dietrich | report |\n| kaiser preis | taunus | 13 - 14 june | felice nazzaro | fiat | report |\n| ardennes circuit (kaiser formula) | bastogne | 25 july | john moore - brabazon | minerva | report |\n| ardennes circuit | bastogne | 27 july | pierre de caters | mercedes | report |\n| coppa florio | brescia | 1 september | ferdinando minoia | isotta - fraschini | report |\n| coppa della velocità | brescia | 2 september | alessandro cagno | itala | report |" + }, + { + "from": "human", + "value": "Analyze the table's content, including its title '1907 grand prix season', and determine whether the given sentence is confirmed or disputed by the table information. Show your final answer in the JSON format {\"answer\": \"\"}.\nsentence: between april and june , the constructor of the winning car was mercedes at two races" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the sentence is not valid. Hence, the answer is {\"answer\": \"disputed\"}." + }, + { + "from": "human", + "value": "Examine the table image with the title '1907 grand prix season', classify whether the hypothesis is confirmed or challenged based on the table's content and title. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nhypothesis: felice nazzaro won both the targa florio race and the kaiser preis race" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the hypothesis is valid. Hence, the answer is {\"answer\": \"confirmed\"}." + }, + { + "from": "human", + "value": "Based on the table titled '1907 grand prix season' and the subsequent statement, determine if the statement is supported or challenged by the table. Show your final answer in the JSON format {\"answer\": \"\"}.\nstatement: felice nazzaro won in both the taunus circuit and the madonie circuit" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the statement. Hence, the answer is {\"answer\": \"supported\"}." + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following claim is confirmed or challenged by the table. The final result should be presented in the JSON format of {\"answer\": \"\"}.\ntable title:1907 grand prix season\nclaim: in april , felice nazzaro and arthur duray both won races" + }, + { + "from": "gpt", + "value": "Based on the evidence presented in the table, we can conclude that the claim is not true. Therefore, the answer is {\"answer\": \"challenged\"}." + }, + { + "from": "human", + "value": "Here's what I need you to do:\nIn the image of this table, identify all the merged cells. Provide the coordinates of these merged regions in the JSON {'top-left':(x, y), 'bottom-right':(z, w)}, with '(x, y)' and '(z, w)' indicating the (row_id, column_id) of the top-left and bottom-right cells, respectively. Remember, row and column numbering starts at 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "Analyze the provided table and identify the locations of these cells:\n(1) 'targa florio',\n(2) 'date',\n(3) 'isotta - fraschini',\n(4) '4:24',\n(5) 'arthur duray',\n(6) 'public roads',\n(7) '25 july',\n(8) '2 september',\nProvide the cell locations using the JSON format {'value': '', 'location': (row index, column index)}, where row and column indices start from 1. Should a cell be absent in the table, denote its location as 'DOES NOT EXIST'." + }, + { + "from": "gpt", + "value": "The target cell locations are as follows:\n(1) {'value': 'targa florio', 'location': (2, 1)}\n(2) {'value': 'date', 'location': (1, 3)}\n(3) {'value': 'isotta - fraschini', 'location': (7, 5)}\n(4) {'value': '4:24', 'location': 'DOES NOT EXIST'}\n(5) {'value': 'arthur duray', 'location': (3, 4)}\n(6) {'value': 'public roads', 'location': (3, 2)}\n(7) {'value': '25 july', 'location': (5, 3)}\n(8) {'value': '2 september', 'location': (8, 3)}" + } + ] + }, + { + "id": "table_instructV_multi_round_4054", + "image": "table_instructV/images/TabFact_2-16690948-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| world record | press | 103.5 | roger franã§ois | paris ( fra ) |\n| --- | --- | --- | --- | --- |\n| snatch | 104.5 | hans haas | vienna ( aut ) | 1927 |\n| clean & jerk | 142.5 | karl hipfinger | vienna ( aut ) | 1927 |\n| total | 330 | karl hipfinger | vienna ( aut ) | 1927 |\n| olympic record | press | 97.5 | carlo galimberti | paris ( fra ) |\n| olympic record | press | 97.5 | ahmed samy | paris ( fra ) |\n| olympic record | snatch | 95 | carlo galimberti | paris ( fra ) |\n| olympic record | clean & jerk | 127.5 | carlo galimberti | paris ( fra ) |\n| olympic record | clean & jerk | 127.5 | jaan kikkas | paris ( fra ) |\n| olympic record | total | 320 | carlo galimberti | paris ( fra ) |" + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following hypothesis is upheld or challenged by the table. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\ntable title:weightlifting at the 1928 summer olympics - men 's 75 kg\nhypothesis: one press for the olympic record was clean & jerk" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the hypothesis. Hence, the answer is {\"answer\": \"upheld\"}." + }, + { + "from": "human", + "value": "In this task, you are given a table with its title 'weightlifting at the 1928 summer olympics - men 's 75 kg', your goal is to distinguish whether this table entails or refutes the hypothesis. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nsnatch was a press for the olympic record" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it entails the hypothesis. Hence, the answer is {\"answer\": \"entails\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_4066", + "image": "table_instructV/images/TabFact_2-17288825-10.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| game | date | team | high points | high rebounds | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- |\n| 75 | april 1 | phoenix | ron artest (28) | yao ming (14) | us airways center 18422 | 48 - 27 |\n| 76 | april 3 | la lakers | ron artest (21) | yao ming (10) | staples center 18997 | 48 - 28 |\n| 77 | april 5 | portland | yao ming (21) | yao ming (12) | toyota center 18214 | 49 - 28 |\n| 78 | april 7 | orlando | yao ming (20) | yao ming (16) | toyota center 18389 | 50 - 28 |\n| 79 | april 9 | sacramento | ron artest (26) | yao ming (9) | arco arena 12897 | 51 - 28 |\n| 80 | april 10 | golden state | luis scola (28) | dikembe mutombo (15) | oracle arena 19596 | 52 - 28 |\n| 81 | april 13 | new orleans | yao ming (22) | luis scola (15) | toyota center 18409 | 53 - 28 |\n| 82 | april 15 | dallas | yao ming (23) | yao ming (9) | american airlines center | 53 - 29 |" + }, + { + "from": "human", + "value": "According to the table information regarding '2008 - 09 houston rockets season', tell me whether the provided table upholds or contradicts the statement. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nin the 2008 - 09 rockets season , the team lost all except for a single game between april 1 and april 15" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table contradicts the validity of the statement. Therefore, the final answer: {\"answer\": \"contradicts\"}." + }, + { + "from": "human", + "value": "Determine the relationship between the table named '2008 - 09 houston rockets season' and the statement. Whether the table substantiates or disproves the given statement? Show your final answer in the JSON format {\"answer\": \"\"}.\nstatement: more people watched the houston rockets game in the toyota center than in the us airways center" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the statement. Consequently, the answer is {\"answer\": \"substantiates\"}." + }, + { + "from": "human", + "value": "Examine the table with the caption '2008 - 09 houston rockets season', classify whether the provided table upholds or refutes the claim. Show your final answer in the JSON format {\"answer\": \"\"}.\nclaim: in the 2008 - 09 rockets season yao ming scored a point high in more games than ron artest" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table refutes the validity of the claim. Therefore, the final answer: {\"answer\": \"refutes\"}." + }, + { + "from": "human", + "value": "Analyze this table picture about '2008 - 09 houston rockets season' and classify whether the given table entails or challenges the sentence. Output the final answer as JSON in the format {\"answer\": \"\"}.\n\nin the 2008 - 09 rockets season yao ming scored a point high in as many games as ron artest" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it entails the sentence. Hence, the answer is {\"answer\": \"entails\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_4187", + "image": "table_instructV/images/TabFact_1-20312599-23.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| rank | name | nationality | 1st (m) | 2nd (m) | points | overall nt points | overall wc points (rank) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | takanobu okabe | japan | 123.5 | 123.0 | 241.7 | 467.7 (2) | 214 (24) |\n| 2 | simon ammann | switzerland | 119.5 | 126.0 | 240.4 | 476.4 (1) | 1578 (2) |\n| 3 | adam maå‚ysz | poland | 119.5 | 127.5 | 239.3 | 443.3 (8) | 307 (18) |\n| 4 | harri olli | finland | 130.5 | 115.0 | 234.9 | 467.4 (3) | 706 (6) |\n| 5 | noriaki kasai | japan | 124.5 | 117.0 | 231.2 | 330.7 (19) | 301 (19) |" + }, + { + "from": "human", + "value": "Examine the table image with the title '2008 - 09 fis ski jumping world cup', classify whether the sentence is substantiated or contradicted based on the table's content and title. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nsentence: simon ammann and adam maå‚ysz each made a first jump of 119.5 meters" + }, + { + "from": "gpt", + "value": "Based on the table information, the sentence is true. Thus, the answer is {\"answer\": \"substantiated\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title '2008 - 09 fis ski jumping world cup', and determine whether the given hypothesis is entailed or challenged by the table information. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nhypothesis: noriaki kasai of japan , ranked 5 in the 2008 - 09 fis ski jumping world cup , had a first jump which was one meter less than first ranked takanobu okabe" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the hypothesis. Hence, the answer is {\"answer\": \"entailed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_4370", + "image": "table_instructV/images/ToTTo_train_table_28724.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Country | Period | Real GDP per Person at Beginning of Period | Real GDP per Person at End of Period | Annualized Growth Rate |\n| --- | --- | --- | --- | --- |\n| Japan | 1890-2008 | $1,504 | $35,220 | 2.71% |\n| Brazil | 1900-2008 | $779 | $10,070 | 2.40% |\n| Mexico | 1900-2008 | $1,159 | $14,270 | 2.35% |\n| Germany | 1870-2008 | $2,184 | $35,940 | 2.05% |\n| Canada | 1870-2008 | $2,375 | $36,220 | 1.99% |\n| China | 1900-2008 | $716 | $6,020 | 1.99% |\n| United States | 1870-2008 | $4,007 | $46,970 | 1.80% |\n| Argentina | 1900-2008 | $2,293 | $14,020 | 1.69% |\n| United Kingdom | 1870-2008 | $4,808 | $36,130 | 1.47% |\n| India | 1900-2008 | $675 | $2,960 | 1.38% |\n| Indonesia | 1900-2008 | $891 | $3,830 | 1.36% |\n| Pakistan | 1900-2008 | $737 | $2,700 | 1.21% |\n| Bangladesh | 1900-2008 | $623 | $1,440 | 0.78% |" + }, + { + "from": "human", + "value": "Analyzing this Wikipedia table titled 'Economic growth'. It is extracted from a section titled 'Differences between Long-Term Growth between Countries and the Power of Small Changes in Growth'.\nBased on the table information, craft a sentence that describes the highlighted cells." + }, + { + "from": "gpt", + "value": "The GDP per person grew, on average, by 1.80% per year in the United States and by 1.47% in the United Kingdom." + } + ] + }, + { + "id": "table_instructV_multi_round_4415", + "image": "table_instructV/images/ToTTo_train_table_21982.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Rank | Country/Territory | Capital | Population | Year | % of country's population |\n| --- | --- | --- | --- | --- | --- |\n| 1 | China PR | Beijing | 20,693,000 | 2012 | 1.52% |\n| 2 | India | New Delhi | 16,787,949 | 2014 | 1.10% |\n| 3 | Japan | Tokyo | 13,491,000 | 2015 | 10.67% |\n| 4 | Philippines | Manila | 12,877,253 | 2015 | 12.8% |\n| 5 | Russia | Moscow | 11,541,000 | 2011 | 8.07% |\n| 6 | Egypt | Cairo | 10,230,350 | 2012 | 11.10% |\n| 7 | Indonesia | Jakarta | 10,187,595 | 2011 | 4.18% |\n| 8 | DR Congo | Kinshasa | 10,125,000 | 2012 | 12.30% |\n| 9 | South Korea | Seoul | 9,989,795 | 2015 | 20.47% |\n| 10 | Bangladesh | Dhaka | 8,906,000 | 2011 | 5.56% |\n| 11 | Mexico | Mexico City | 8,851,080 | 2010 | 7.51% |\n| 12 | Iran | Tehran | 8,846,782 | 2014 | 9.91% |\n| 13 | England | London | 8,630,100 | 2015 | 13.25% |\n| 14 | Peru | Lima | 8,481,415 | 2012 | 28.29% |\n| 15 | Thailand | Bangkok | 8,249,117 | 2010 | 12.42% |\n| 16 | Colombia | Bogotá | 7,613,303 | 2011 | 16.17% |\n| 17 | Vietnam | Hanoi | 7,587,800 | 2014 | 8.22% |\n| 18 | Hong Kong (China) | Hong Kong | 7,298,600 | 2015 | 100% |\n| 19 | Iraq | Baghdad | 7,216,040 | | 21.59% |\n| 20 | Singapore | Singapore | 5,535,000 | 2015 | 100% |\n| 21 | Turkey | Ankara | 5,150,072 | 2014 | 6.72% |\n| 22 | Chile | Santiago | 5,084,038 | 2012 | 29.12% |\n| 23 | Saudi Arabia | Riyadh | 4,878,723 | 2009 | 18.20% |\n| 24 | Germany | Berlin | 3,520,000 | 2012 | 4.38% |\n| 25 | Syria | Damascus | 3,500,000 | | 15.32% |\n| 26 | Algeria | Algiers | 3,415,811 | | 8.45% |\n| 27 | Spain | Madrid | 3,233,527 | 2012 | 6.84% |\n| 28 | North Korea | Pyongyang | 3,144,005 | | 12.63% |\n| 29 | Afghanistan | Kabul | 3,140,853 | | 10.28% |\n| 30 | Kenya | Nairobi | 3,138,369 | 2010 | 7.67% |\n| 31 | Greece | Athens | 3,090,508 | | 28.02% |\n| 32 | Ethiopia | Addis Ababa | 3,040,740 | 2012 | 3.31% |\n| 33 | Argentina | Buenos Aires | 2,891,082 | 2010 | 7.16% |\n| 34 | Italy | Rome | 2,868,104 | 2014 | 4.72% |\n| 35 | Ukraine | Kiev | 2,847,200 | 2013 | 6.26% |\n| 36 | Cameroon | Yaoundé | 2,765,568 | 2015 | 11.65% |\n| 37 | Taiwan | Taipei | 2,686,516 | 2013 | 11.53% |\n| 38 | Brazil | Brasília | 2,648,532 | 2012 | 1.33% |\n| 39 | Jordan | Amman | 2,600,603 | | 40.26% |\n| 40 | Angola | Luanda | 2,453,779 | | 11.43% |\n| 41 | South Africa | Pretoria | 2,345,908 | | 4.43% |\n| 42 | France | Paris | 2,241,346 | 2014 | 3.38% |\n| 43 | Uzbekistan | Tashkent | 2,207,850 | | 7.30% |\n| 44 | Azerbaijan | Baku | 2,204,200 | 2015 | 22.96% |\n| 45 | Cuba | Havana | 2,135,498 | 2010 | 18.93% |\n| 46 | Cambodia | Phnom Penh | 2,011,725 | | 13.29% |\n| 47 | Romania | Bucharest | 1,942,254 | | 9.73% |\n| 48 | Venezuela | Caracas | 1,838,939 | | 6.05% |\n| 49 | Congo | Brazzaville | 1,827,000 | 2014 | 39.19% |\n| 50 | Morocco | Rabat | 1,789,635 | | 5.42% |\n| 51 | Austria | Vienna | 1,749,673 | 2013 | 20.65% |\n| 52 | Sudan | Khartoum | 1,740,661 | | 4.59% |\n| 53 | Hungary | Budapest | 1,729,040 | 2011 | 17.34% |\n| 54 | Poland | Warsaw | 1,711,324 | 2012 | 4.42% |\n| 55 | Belarus | Minsk | 1,702,061 | | 17.98% |\n| 56 | Uganda | Kampala | 1,659,600 | | 4.42% |\n| 57 | Ghana | Accra | 1,640,507 | | 6.33% |\n| 58 | Madagascar | Antananarivo | 1,613,375 | [unreliable source?] | 7.04% |\n| 59 | Lebanon | Beirut | 1,574,387 | | 35.25% |\n| 60 | Sweden | Stockholm | 1,515,017 | 2014 | 22.33% |\n| 61 | Ecuador | Quito | 1,504,991 | | 9.65% |\n| 62 | Zimbabwe | Harare | 1,487,028 | | 10.51% |\n| 63 | Qatar | Doha | 1,450,000 | | 66.85% |\n| 64 | Yemen | Sana'a | 1,431,649 | | 5.87% |\n| 65 | Guinea | Conakry | 1,399,981 | | 11.91% |\n| 66 | Malaysia | Kuala Lumpur | 1,381,830 | | 4.65% |\n| 67 | Uruguay | Montevideo | 1,369,797 | | 40.21% |\n| 68 | Zambia | Lusaka | 1,331,254 | | 9.16% |\n| 69 | Mali | Bamako | 1,289,626 | | 8.43% |\n| 70 | Czech Republic | Prague | 1,241,664 | 2011 | 11.83% |\n| 71 | Haiti | Port-au-Prince | 1,235,227 | | 11.97% |\n| 72 | Libya | Tripoli | 1,184,045 | | 19.09% |\n| 73 | Kuwait | Kuwait City | 1,171,880 | | 34.78% |\n| 74 | Serbia | Belgrade | 1,154,589 | | 16.12% |\n| 75 | Dominican Republic | Santo Domingo | 1,111,838 | 2010 | 11.10% |\n| 76 | Somalia | Mogadishu | 1,097,133 | | 10.45% |\n| 77 | Bulgaria | Sofia | 1,090,295 | | 15.02% |\n| 78 | Belgium | Brussels | 1,080,790 | | 9.65% |\n| 79 | Armenia | Yerevan | 1,080,487 | [unreliable source?] | 36.29% |\n| 80 | Mozambique | Maputo | 1,076,689 | | 4.17% |\n| 81 | Sierra Leone | Freetown | 1,070,200 | | 17.57% |\n| 82 | Ireland | Dublin | 1,173,179 | | 24.63% |\n| 83 | Georgia | Tbilisi | 1,044,993 | | 23.34% |\n| 84 | Senegal | Dakar | 1,030,594 | | 7.29% |\n| 85 | Kazakhstan | Astana | 1,029,556 | 2017 | 5.67% |\n| 86 | Guatemala | Guatemala City | 1,022,000 | 2001 | 8.90% |\n| 87 | Liberia | Monrovia | 1,010,970 | | 23.54% |\n| 88 | Burkina Faso | Ouagadougou | 1,005,231 | | 5.94% |\n| 89 | Nepal | Kathmandu | 1,003,285 | 2011 | 3.69% |\n| 90 | Pakistan | Islamabad | 955,629 | | 0.48% |\n| 91 | Canada | Ottawa | 934,243 | 2016 | 2.55% |\n| 92 | - | Hewler | 932,800 | 2018 | 15% |\n| 93 | Nicaragua | Managua | 926,883 | | 15.24% |\n| 94 | Myanmar | Naypyidaw | 925,000 | | 1.74% |\n| 95 | Mongolia | Ulaanbaatar | 907,802 | | 31.98% |\n| 96 | Malawi | Lilongwe | 902,388 | | 5.52% |\n| 96 | Bolivia | La Paz | 877,363 | | 8.22% |\n| 97 | Kyrgyzstan | Bishkek | 843,240 | | 14.74% |\n| 99 | Togo | Lomé | 824,738 | | 12.10% |\n| 100 | Panama | Panama City | 813,097 | | 21.04% |\n| 101 | Netherlands | Amsterdam | 855,965 | | 4.97% |\n| 102 | Croatia | Zagreb | 804,200 | | 18.91% |\n| 103 | Oman | Muscat | 797,000 | | 21.94% |\n| 104 | Niger | Niamey | 794,814 | | 4.46% |\n| 105 | Moldova | Chişinău | 794,800 | | 22.33% |\n| 106 | Israel | Jerusalem | 780,200 | | 9.68% |\n| 107 | Nigeria | Abuja | 778,567 | | 0.45% |\n| 108 | Albania | Tirana | 763,634 | | 27.53% |\n| 109 | Tunisia | Tunis | 767,629 | | 7.05% |\n| 110 | Turkmenistan | Ashgabat | 763,537 | | 14.57% |\n| 111 | Chad | N'Djamena | 751,288 | | 5.86% |\n| 112 | Honduras | Tegucigalpa | 735,982 | | 9.09% |\n| 113 | Central African Republic | Bangui | 731,548 | | 14.79% |\n| 114 | Mauritania | Nouakchott | 719,167 | | 18.49% |\n| 115 | Rwanda | Kigali | 718,414 | | 6.10% |\n| 116 | Latvia | Riga | 713,016 | | 35.42% |\n| 117 | Jamaica | Kingston | 701,063 | | 25.82% |\n| 118 | United States | Washington, D.C. | 658,893 | 2014 | 0.21% |\n| 119 | Norway | Oslo | 645,701 | 2013 | 12.70% |\n| 120 | Finland | Helsinki | 635,591 | 2016 | 11.55% |\n| 121 | United Arab Emirates | Abu Dhabi | 585,097 | | 6.27% |\n| 122 | Tajikistan | Dushanbe | 582,496 | | 7.10% |\n| 123 | Portugal | Lisbon | 564,657 | | 5.40% |\n| 124 | Denmark | Copenhagen | 562,253 | | 10.02% |\n| 125 | Lithuania | Vilnius | 556,723 | | 18.83% |\n| 126 | Gabon | Libreville | 556,425 | | 33.28% |\n| 127 | Eritrea | Asmara | 1,258,001 | | 5.20% |\n| 128 | El Salvador | San Salvador | 521,366 | | 8.22% |\n| 129 | North Macedonia | Skopje | 521,000 | | 25% |\n| 130 | Paraguay | Asunción | 520,722 | | 7.66% |\n| 131 | Macau (China) | Macau | 520,400 | | 100% |\n| 132 | Scotland | Edinburgh | 492,680 | | 9.30% |\n| 133 | Djibouti | Djibouti (city) | 475,332 | | 54.45% |\n| 134 | Côte d'Ivoire | Yamoussoukro | 454,929 | | 2.24% |\n| 135 | Guinea-Bissau | Bissau | 452,640 | | 26.56% |\n| 136 | Estonia | Tallinn | 440,206 | | 33.22% |\n| 137 | Slovakia | Bratislava | 424,207 | | 7.84% |\n| 138 | Puerto Rico (US) | San Juan | 421,356 | | 12.37% |\n| 139 | New Zealand | Wellington | 405,000 | 2015 | 8.66% |\n| 140 | Bosnia and Herzegovina | Sarajevo | 395,133 | 2013 | 11.19% |\n| 141 | South Sudan | Juba | 372,410 | | 3.30% |\n| 142 | Australia | Canberra | 354,644 | | 1.53% |\n| 143 | Wales | Cardiff | 346,100 | | 11.30% |\n| 144 | Northern Ireland | Belfast | 333,871 | | 18.44% |\n| 145 | Costa Rica | San José | 328,195 | | 6.74% |\n| 146 | Papua New Guinea | Port Moresby | 299,396 | [unreliable source?] | 4.09% |\n| 147 | Laos | Vientiane | 287,579 | | 4.25% |\n| 148 | Tanzania | Dodoma | 287,200 | 2002 est. | 0.80% |\n| 149 | Lesotho | Maseru | 267,652 | | 12.91% |\n| 150 | Cyprus | Nicosia (south) | 270,000 | late 2004 | 26.57% |\n| 151 | Slovenia | Ljubljana | 280,140 | | 13.60% |\n| 152 | Suriname | Paramaribo | 254,147 | | 47.13% |\n| 153 | Namibia | Windhoek | 252,721 | | 10.97% |\n| 154 | Bahamas | Nassau | 248,948 | | 65.97% |\n| 155 | Botswana | Gaborone | 225,656 | | 11.17% |\n| 156 | Benin | Porto-Novo | 223,552 | | 2.17% |\n| 157 | Kosovo | Prishtina | 198,214 | | 10.32% |\n| 158 | Sahrawi Arab Democratic Republic | El Aaiún (claimed) Tifariti (factual) | 194,668 3,000 | 2009 | -- |\n| 159 | Transnistria | Tiraspol | 159,163 | | 28.53% |\n| 160 | Mauritius | Port Louis | 147,251 | | 12.28% |\n| 161 | Montenegro | Podgorica | 141,854 | | 22.83% |\n| 162 | Bahrain | Manama | 140,616 | | 10.56% |\n| 163 | Guyana | Georgetown | 134,599 | | 16.83% |\n| 164 | Cape Verde | Praia | 125,464 | | 25.15% |\n| 165 | Switzerland | Berne (de facto) | 121,631 | | 1.51% |\n| 166 | Sri Lanka | Colombo | 118,556 | | 0.58% |\n| 167 | Iceland | Reykjavík | 115,000 | | 35.60% |\n| 168 | Barbados | Bridgetown | 110,000 | | 39.06% |\n| 169 | Maldives | Malé | 103,693 | | 30.05% |\n| 170 | Bhutan | Thimphu | 101,259 | | 13.43% |\n| 171 | Equatorial Guinea | Malabo | 100,677 | | 13.30% |\n| 172 | New Caledonia (France) | Nouméa | 89,207 | | 32.03% |\n| 173 | Northern Cyprus | Nicosia (north) | 84,893 | | 18.83% |\n| 174 | Fiji | Suva | 84,410 | | 9.58% |\n| 175 | Eswatini (Swaziland) | Mbabane | 81,594 | | 6.53% |\n| 176 | Luxembourg | Luxembourg | 76,420 | | 14.07% |\n| 177 | Saint Lucia | Castries | 70,000 | | 38.40% |\n| 178 | Northern Mariana Islands (USA) | Saipan | 62,392 (2000) | | 100% |\n| 179 | Comoros | Moroni | 60,200 | | 8.19% |\n| 180 | Solomon Islands | Honiara | 59,288 | | 10.56% |\n| 181 | East Timor | Dili | 59,069 | | 5.01% |\n| 182 | São Tomé and Príncipe | São Tomé | 56,166 | | 29.10% |\n| 183 | American Samoa (USA) | Pago Pago | 52,000 (2003) | | 6.57% |\n| 184 | Trinidad and Tobago | Port of Spain | 50,479 | | 3.76% |\n| 185 | Nagorno-Karabakh Republic | Stepanakert | 49,986 | | 36.57% |\n| 186 | Curaçao (Netherlands) | Willemstad | 49,885 | | 93.74% |\n| 187 | Saint Vincent and the Grenadines | Kingstown | 40,020 | | 36.59% |\n| 188 | Samoa | Apia | 39,813 | | 20.91% |\n| 189 | Vanuatu | Port Vila | 38,000 | | 15.03% |\n| 190 | Monaco | Monaco | 35,986 | 2011 est. | 100% |\n| 191 | Gambia | Banjul | 34,828 | | 1.88% |\n| 192 | Kiribati | Tarawa | 30,000 | | 29.31% |\n| 193 | Aruba (Netherlands) | Oranjestad | 29,998 | | -- |\n| 194 | Seychelles | Victoria | 29,298 | | 32.86% |\n| 195 | Gibraltar (UK) | Gibraltar | 29,286 | | -- |\n| 196 | Jersey (UK) | Saint Helier | 28,380 | | -- |\n| 197 | Brunei | Bandar Seri Begawan | 28,135 | | 6.73% |\n| 198 | Cayman Islands (UK) | George Town | 26,798 | | 41.1% |\n| 199 | Isle of Man (UK) | Douglas | 26,600 | | -- |\n| 200 | French Polynesia (France) | Papeete | 26,200 | | -- |\n| 201 | Palestine | Ramallah (de facto) | 25,500 | | 0.53% |\n| 202 | Marshall Islands | Majuro | 25,400 | | 48.26% |\n| 203 | Burundi | Gitega | 23,000 | 2012 | 0.22% |\n| 204 | Andorra | Andorra la Vella | 22,884 | | 28.89% |\n| 205 | Antigua and Barbuda | St. John's | 22,679 | | 25.20% |\n| 206 | Tonga | Nukuʻalofa | 22,400 | | 21.27% |\n| 207 | Faroe Islands (Denmark) | Tórshavn | 18,573 | | -- |\n| 208 | Guernsey (UK) | St. Peter Port | 16,701 | | -- |\n| 209 | Belize | Belmopan | 16,451 | | 4.96% |\n| 210 | Greenland (Denmark) | Nuuk (Godthåb) | 15,469 | | 31.85% |\n| 211 | Dominica | Roseau | 14,847 | | 20.62% |\n| 212 | Saint Kitts and Nevis | Basseterre | 13,043 | | 24.07% |\n| 213 | Åland (Finland) | Mariehamn | 11,296 | | -- |\n| 214 | United States Virgin Islands (US) | Charlotte Amalie | 10,817 | | -- |\n| 215 | Federated States of Micronesia | Palikir | 9,900 | | 9.56% |\n| 216 | British Virgin Islands (UK) | Road Town | 9,400 | | -- |\n| 217 | Grenada | St. George's | 7,500 | | 7.08% |\n| 218 | Malta | Valletta | 6,444 | 2014 | 1.45% |\n| 219 | - | Gustavia | 6,000 | | -- |\n| 220 | - | Marigot | 5,700 | | -- |\n| 221 | - | Saint-Pierre | 5,509 | | -- |\n| 222 | Cook Islands (NZ) | Avarua | 5,445 | | -- |\n| 223 | Liechtenstein | Vaduz | 5,248 | | 14.21% |\n| 224 | San Marino | City of San Marino | 4,493 | | -- |\n| 225 | Tuvalu | Funafuti | 4,492 | | 45.48% |\n| 226 | Turks and Caicos Islands (UK) | Cockburn Town | 3,700 | | -- |\n| 227 | Falkland Islands (UK) | Stanley | 2,115 | | -- |\n| 228 | Svalbard (Norway) | Longyearbyen | 2,075 | | -- |\n| 229 | Christmas Island (Australia) | Flying Fish Cove | 1,493 | | -- |\n| 230 | Sint Maarten (Netherlands) | Philipsburg | 1,338 | | -- |\n| 231 | - | Mata-Utu | 1,191 | | -- |\n| 232 | Anguilla (UK) | The Valley | 1,169 | | -- |\n| 233 | Nauru | Yaren (de facto) | 1,100 | | 10.91% |\n| 234 | Guam (US) | Hagåtña | 1,100 | | -- |\n| 235 | Montserrat (UK) | Brades (de facto) | 391 | | -- |\n| 236 | Bermuda (UK) | Hamilton | 1,010 | | -- |\n| 237 | Norfolk Island (Australia) | Kingston | 880 | [unreliable source?] | -- |\n| 238 | Vatican City | Vatican City (city-state) | 826 (2009 est.) | | 100% |\n| 239 | Saint Helena (UK) | Jamestown | 714 | | -- |\n| 240 | Niue (NZ) | Alofi | 616 | | -- |\n| 241 | Tokelau (NZ) | Atafu | 524 | | 34.96% |\n| 242 | Palau | Ngerulmud | 391 | | 1.87% |\n| 243 | Cocos (Keeling) Islands (Australia) | West Island | 120 | | 22.06% |\n| 244 | Pitcairn Islands (UK) | Adamstown | 56 | | 100% |\n| 245 | South Georgia and the South Sandwich Islands (UK) | King Edward Point | 18 | | 100% |" + }, + { + "from": "human", + "value": "This image shows a Wikipedia table extracted from a section.\nTable title: List of national capitals by population\nTable section title: List\n Using the provided table and its metadata, write a sentence to summarize the information in the highlighted table cells." + }, + { + "from": "gpt", + "value": "Adamstown is the second smallest capital." + } + ] + }, + { + "id": "table_instructV_multi_round_4512", + "image": "table_instructV/images/TabFact_2-1590321-70.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| rank | name | years | matches | goals |\n| --- | --- | --- | --- | --- |\n| 1 | jimmy greaves | 1957 - 1971 | 516 | 357 |\n| 2 | steve bloomer | 1892 - 1910 | 536 | 317 |\n| 3 | dixie dean | - 1925 - 1930 , 1931 - 1937 - 1937 | 362 | 310 |\n| 4 | gordon hodgson | 1925 - 1939 | 454 | 288 |\n| 5 | alan shearer | 1987 - 1988 , 1989 - 2006 | 559 | 283 |\n| 6 | charlie buchan | 1910 - 1915 , 1919 - 1928 | 482 | 258 |\n| 7 | nat lofthouse | 1946 - 1959 , 1960 - 1961 | 452 | 255 |\n| 8 | joe bradford | 1921 - 1935 | 410 | 248 |\n| 9 | hughie gallacher | 1925 - 1936 , 1937 - 1938 | 355 | 246 |\n| 10 | joe smith | 1911 - 1915 , 1919 - 1927 | 410 | 243 |" + }, + { + "from": "human", + "value": "Give you a table picture about 'list of top association football goal scorers by country', determine whether the following claim is substantiated or challenged by the table's content. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\n\nnat lofthouse does not rank higher than 7" + }, + { + "from": "gpt", + "value": "Based on the table information, the claim is true. Thus, the answer is {\"answer\": \"substantiated\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title 'list of top association football goal scorers by country', and determine whether the given hypothesis is substantiated or disputed by the table information. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nhypothesis: there were 0 matches for nat lofthouse that rank never higher than 7" + }, + { + "from": "gpt", + "value": "According to the table, the hypothesis is disputed by the table information. Therefore, the final answer: {\"answer\": \"disputed\"}." + }, + { + "from": "human", + "value": "Table title: list of top association football goal scorers by country\nhypothesis: the total amount of matches for alan shearer was 559\nPlease distinguish whether the above hypothesis is supported or opposed by the table information. The final result should be presented in the JSON format of {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the hypothesis is valid. Hence, the answer is {\"answer\": \"supported\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_4525", + "image": "table_instructV/images/TABMWP_29086.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $625 | 18,800 | 13,300 |\n| $655 | 15,800 | 14,900 |\n| $685 | 12,800 | 16,500 |\n| $715 | 9,800 | 18,100 |\n| $745 | 6,800 | 19,700 |" + }, + { + "from": "human", + "value": "Solve this math problem in a stepwise manner. Conclude your response with a final answer in the JSON format {\"answer\": \"\"}.\n\nLook at the table. Then answer the question. At a price of $715, is there a shortage or a surplus? (A) shortage (B) surplus" + }, + { + "from": "gpt", + "value": "At the price of $715, the quantity demanded is less than the quantity supplied. There is too much of the good or service for sale at that price. So, there is a surplus.\n\n\nTherefore, the final answer is {\"answer\": \"surplus\"}." + }, + { + "from": "human", + "value": "This image presents a table, and I'd like to know its row and column numbers. The final result should be presented in the JSON format of {\"row_number\": \"m\", \"column_number\": \"n\"}." + }, + { + "from": "gpt", + "value": "There are 6 rows and 3 columns in the table. So, the final answer is {\"row_number\": \"6\", \"column_number\": \"3\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_4633", + "image": "table_instructV/images/TabFact_2-12962773-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| player | height | position | year born | current club |\n| --- | --- | --- | --- | --- |\n| miguel minhava | 1 , 97 | guard | 1983 | cb l'hospitalet |\n| mário gil fernandes | 1 , 74 | guard | 1982 | cb plasencia |\n| sérgio ramos | 2 , 00 | forward | 1975 | drac inca |\n| paulo cunha | 1 , 99 | forward | 1980 | fc porto |\n| francisco jordão | 2 , 00 | center | 1979 | 1 de agosto |\n| filipe da silva | 1 , 93 | guard | 1979 | cb villa de los barrios |\n| joão betinho gomes | 1 , 99 | forward | 1985 | fc barreirense |\n| jorge coelho | 2 , 00 | center | 1978 | cb palencia |\n| paulo simão | 1 , 98 | forward | 1976 | cf belenenses |\n| elvis évora | 2 , 05 | center | 1978 | ovarense aerosoles |\n| miguel miranda | 2 , 05 | center | 1978 | ovarense aerosoles |\n| joão santos | 2 , 03 | forward | 1979 | grupo capitol valladolid |" + }, + { + "from": "human", + "value": "Examine the table with the caption 'fiba eurobasket 2007 squads', classify whether the provided table affirms or opposes the sentence. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nsentence: the only players on the squad that represented fc barreirense were elvis évora and miguel miranda" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table opposes the validity of the sentence. Therefore, the final answer: {\"answer\": \"opposes\"}." + }, + { + "from": "human", + "value": "Examine whether the table affirms or disproves the subsequent claim. The final result should be presented in the JSON format of {\"answer\": \"\"}.\ntable title: 'fiba eurobasket 2007 squads'\nclaim: the shortest person on the squad was mário gil fernandes" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it affirms the claim. Hence, the answer is {\"answer\": \"affirms\"}." + }, + { + "from": "human", + "value": "This is a table image titled 'fiba eurobasket 2007 squads', help me determine if the table upholds or contradicts the following claim. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nthe fiba eurobasket 2007 squad contained 6 guards" + }, + { + "from": "gpt", + "value": "Based on the table, the claim can not hold true. Thus, the final answer is {\"answer\": \"contradicts\"}." + }, + { + "from": "human", + "value": "Give you a table picture about 'fiba eurobasket 2007 squads', determine whether the following sentence is entailed or opposed by the table's content. Output the final answer as JSON in the format {\"answer\": \"\"}.\n\nnobody on the squad was born prior to the year 1975" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the sentence is true. So, the answer is {\"answer\": \"entailed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_4797", + "image": "table_instructV/images/TAT-QA_d2647217-3696-4ec0-ad69-a3db3626c707.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| (In millions) | 2019 | 2018 | 2017 | Location of Amount Reclassified from AOCL |\n| --- | --- | --- | --- | --- |\n| Defined benefit pension plans and other post-employment benefits: | | | | |\n| Prior service credits | $ 0.1 | $0.3 | $ 1.3 | |\n| Actuarial losses | (4.9) | (3.1) | (10.0) | |\n| Total pre-tax amount | (4.8) | (2.8) | (8.7) | Other (expense) income, net |\n| Tax benefit | 1.2 | 0.7 | 2.5 | |\n| Net of tax | (3.6) | (2.1) | (6.2) | |\n| Net gains (losses) on cash flow hedging derivatives:(1) | | | | |\n| Foreign currency forward contracts | 1.6 | 0.2 | 0.9 | Cost of sales |\n| Interest rate and currency swaps | — | — | (3.4) | |\n| Treasury locks | 0.1 | 0.1 | 0.1 | Interest expense, net |\n| Total pre-tax amount | 1.7 | 0.3 | (2.4) | |\n| Tax (expense) benefit | (0.6) | (0.1) | 0.8 | |\n| Net of tax | 1.1 | 0.2 | (1.6) | |\n| Total reclassifications for the period | (2.5 ) | (1.9 ) | (7.8 ) | |" + }, + { + "from": "human", + "value": "Look at the table, and use the information to answer the question. Present the final answer in a JSON format {\"answer\": []}.\nWhat is the average Total reclassifications for the period for the 3 years?" + }, + { + "from": "gpt", + "value": "To answer the given question, we need to conduct the following computations:\n-(2.5+1.9+7.8)/3 = -4.07\nTherefore, the final answer is {\"answer\": [\"-4.07\"]}." + }, + { + "from": "human", + "value": "Please consult the table and use it to respond to the question below. Conclude your response with the final answer in the JSON format, structured as {\"answer\": []}.\nFor Treasury locks in 2019, What is the Net of tax expressed as a percentage of Total pre-tax amount?" + }, + { + "from": "gpt", + "value": "Based on the table, we need to conduct the following computations:\n1.1/1.7 = 64.71\nTherefore, the final answer: {\"answer\": [\"64.71\"]}." + }, + { + "from": "human", + "value": "Examine the table image and answer the ensuing question in brief. In the end, output your final answer using the JSON: {\"answer\": []}.\nWhat is the Net of tax for 2018?" + }, + { + "from": "gpt", + "value": "Based on the table information, the answer is {\"answer\": [\"0.2\"]}." + }, + { + "from": "human", + "value": "What years are included in the table?\nGive me a concise answer based on the given table. The concluding answer should be in the JSON structure, formatted as {\"answer\": []}. For instance, {\"answer\": [\"23\", \"14.5\"]}." + }, + { + "from": "gpt", + "value": "Based on the table information, the answer is {\"answer\": [\"2019\", \"2018\", \"2017\"]}." + }, + { + "from": "human", + "value": "What is the total Prior service credits for the 3 years?\nCarefully answer the question according to the table. Present the final answer in a JSON format {\"answer\": []}." + }, + { + "from": "gpt", + "value": "Based on the table, we need to conduct the following computations:\n0.1+0.3+1.3 = 1.7\nTherefore, the final answer: {\"answer\": [\"1.7\"]}." + } + ] + }, + { + "id": "table_instructV_multi_round_4810", + "image": "table_instructV/images/TABMWP_26037.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 15 | 14 |\n| 16 | 12 |\n| 17 | 4 |" + }, + { + "from": "human", + "value": "Math word problem: The table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear\n\nShow your detailed solution with the final answer in the JSON format {'answer': ''}." + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{12 - 14}{16 - 15}\n = \\frac{-2}{1}\n = -2\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the first row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{4 - 14}{17 - 15}\n = \\frac{-10}{2}\n = -5\nThe rate of change is not the same for each pair of points. So, the function does not have a constant rate of change.\nThe function is nonlinear.\n\nThus, the final answer is {\"answer\": \"nonlinear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_4880", + "image": "table_instructV/images/TABMWP_2014.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | Yellowtail | Salmon |\n| --- | --- | --- |\n| Not spicy | 3 | 3 |\n| A little spicy | 3 | 1 |" + }, + { + "from": "human", + "value": "With the table image in mind, formulate a detail solution for the math problem. Show specific steps towards the answer. Format the ultimate answer as a JSON, using the structure {\"answer\": \"\"}.\n\nA customer at a sushi restaurant was examining the types of sushi rolls offered on the menu. Rolls vary by type of fish and level of spiciness. Rolls only contain one type of fish. What is the probability that a randomly selected sushi roll is labeled a little spicy and contains salmon? Simplify any fractions." + }, + { + "from": "gpt", + "value": "Let A be the event \"the sushi roll is labeled a little spicy\" and B be the event \"the sushi roll contains salmon\".\nTo find the probability that a sushi roll is labeled a little spicy and contains salmon, first identify the sample space and the event.\nThe outcomes in the sample space are the different sushi rolls. Each sushi roll is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the sushi roll is labeled a little spicy and contains salmon\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the sushi roll is labeled a little spicy and contains salmon\", so look at the table to see how many sushi rolls are labeled a little spicy and contain salmon.\nThe number of sushi rolls that are labeled a little spicy and contain salmon is 1.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of sushi rolls.\n3 + 3 + 3 + 1 = 10\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{1}{10}\nThe probability that a sushi roll is labeled a little spicy and contains salmon is \\frac{1}{10}.\n\nTherefore, the final answer is {\"answer\": \"1/10\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_4935", + "image": "table_instructV/images/ToTTo_train_table_28184.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Chart (2010) | Peak position |\n| --- | --- |\n| Metropolis Chart (Portugal) | 152 |" + }, + { + "from": "human", + "value": "Presented is a Wikipedia table named 'I Can't Live Without You in This Town', which is extracted from a section heading 'Charts'.\nAs you can see, some table cells are highlighted with a different color. Please generate a one-sentence summary of these cells." + }, + { + "from": "gpt", + "value": "\"I Can't Live Without You in This Town\" charted at number 152 at the Metropolis Chart." + } + ] + }, + { + "id": "table_instructV_multi_round_4944", + "image": "table_instructV/images/TabFact_2-17252382-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| season | zone | champion | second | third | top scorer |\n| --- | --- | --- | --- | --- | --- |\n| 1995 - 96 | 1 | pokuttia kolomyia | mebilnyk chernivtsi | karpaty rakhiv | andriy chachkin zoria khorostkiv - 7 |\n| 1995 - 96 | 2 | zoria khorostkiv | enko lutsk | sokil radyvyliv | andriy chachkin zoria khorostkiv - 7 |\n| 1995 - 96 | 3 | paperovyk malyn | lokomotyv smila | budivelnyk brovary | andriy chachkin zoria khorostkiv - 7 |\n| 1995 - 96 | 4 | fakel varva | elektron romny | avanhard merefa | andriy chachkin zoria khorostkiv - 7 |\n| 1995 - 96 | 5 | avanhard kramatorsk | shakhtar rovenky | budivelnyk kryvyi rih | andriy chachkin zoria khorostkiv - 7 |\n| 1995 - 96 | 6 | portovyk kerch | kolos osokorivka | blaho blahoyeve | andriy chachkin zoria khorostkiv - 7 |\n| 1994 - 95 | 1 | khimik kalush | yalynka velykyi bychkiv | pokuttia kolomyia | vasyl lomaka shakhtar sverdlovsk - 30 |\n| 1994 - 95 | 2 | haray zhovkva | zoria khorostkiv | probiy horodenka | vasyl lomaka shakhtar sverdlovsk - 30 |\n| 1994 - 95 | 3 | obolon - zmina kyiv | dynamo - 3 kyiv | ahroservis bakhmach | vasyl lomaka shakhtar sverdlovsk - 30 |\n| 1994 - 95 | 4 | sportinvest kryvyi rih | avanhard merefa | silur khartsyzk | vasyl lomaka shakhtar sverdlovsk - 30 |\n| 1994 - 95 | 5 | dynamo slavyansk | shakhtar sverdlovsk | metalurh kupyansk | vasyl lomaka shakhtar sverdlovsk - 30 |\n| 1994 - 95 | 6 | portovyk illichivsk | olimpia fc aes yuzhnoukrainsk | mercury pervomaysk | vasyl lomaka shakhtar sverdlovsk - 30 |\n| 1993 - 94 | 1 | laz lviv | lada chernivtsi | pokuttia kolomyia | oleksandr dovhalets advis khmelnytskyi - 27 |\n| 1993 - 94 | 2 | advis khmelnytskyi | keramik baranivka | obolon - zmina kyiv | oleksandr dovhalets advis khmelnytskyi - 27 |\n| 1993 - 94 | 3 | transimpeks vyshneve | sula lubny | ahroservis bakhmach | oleksandr dovhalets advis khmelnytskyi - 27 |\n| 1993 - 94 | 4 | avanhard rovenky | vahbud kremenchuk | krystal torez | oleksandr dovhalets advis khmelnytskyi - 27 |\n| 1993 - 94 | 5 | metalurh novomoskovsk | shakhtar horlivka | shakhtar sverdlovsk | oleksandr dovhalets advis khmelnytskyi - 27 |\n| 1993 - 94 | 6 | tavria novotroitsk | dnistrovets bilhorod - dnistrovsky | blaho blahoyeve | oleksandr dovhalets advis khmelnytskyi - 27 |\n| 1992 - 1993 | 1 | beskyd nadvirna | khimik kalush | lada chernivtsi | serhiy akymenko shakhtar snizhne - 23 |\n| 1992 - 1993 | 2 | khutrovyk tysmenytsia | advis khmelnytskyi | lokomotyv rivne | serhiy akymenko shakhtar snizhne - 23 |\n| 1992 - 1993 | 3 | hart borodianka | keramik baranivka | dynamo - 3 kyiv | serhiy akymenko shakhtar snizhne - 23 |\n| 1992 - 1993 | 4 | sirius zhovti vody | avanhard rovenky | vahbud kremenchuk | serhiy akymenko shakhtar snizhne - 23 |\n| 1992 - 1993 | 5 | oskil kupyansk | shakhtar sverdlovsk | shakhtar snizhne | serhiy akymenko shakhtar snizhne - 23 |\n| 1992 - 1993 | 6 | surozh sudak | tavria novotroitsk | blaho blahoyeve | serhiy akymenko shakhtar snizhne - 23 |" + }, + { + "from": "human", + "value": "Give you a table titled 'ukrainian football amateur association' and a hypothesis which is 'in season 1995 - 1996 , portovyk kerch was the champion and in third was blaho blahoyeve', select the correct relation between the table and the hypothesis based on the table information. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\n\n(A) affirms (the hypothesis is true)\n(B) conflicts with (the hypothesis is false)" + }, + { + "from": "gpt", + "value": "Based on the table, the hypothesis holds true. Thus, the final answer is {\"answer\": \"affirms\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_4945", + "image": "table_instructV/images/TabFact_1-22460085-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| character | original manchester performer | original west end performer | original broadway performer | original uk tour performer | original non - equity us tour performer | original italian tour performer | original south korean performer |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| sam wheat | richard fleeshman | richard fleeshman | richard fleeshman | stewart clarke | steven grant douglas | salvatore palombi | joo won |\n| molly jensen | caissie levy | caissie levy | caissie levy | rebecca trehearn | katie postotnik | ilaria de angelis | ivy |\n| oda mae brown | sharon d clarke | sharon d clarke | da™vine joy randolph | wendy mae brown | carla r stewart | loretta grace | tba |\n| carl bruner | andrew langtree | andrew langtree | bryce pinkham | david roberts | robby haltiwanger | cristian ruiz | tba |\n| willie lopez | ivan de freitas | ivan de freitas | michael balderrama | ivan de freitas | fernando contreras | davide paciolla | tba |\n| subway ghost | adebayo bolaji | adebayo bolaji | tyler mcgee | stevie hutchinson | brandon lashawn curry | riccardo ballerini | tba |\n| hospital ghost | mark pearce | mark white | lance roberts | n / a | n / a | sebastiano vinci | n / a |\n| clara | lisa davina phillip | lisa davina phillip | moya angela | karlene wray | evette white | dapheny oosterwolde | tba |" + }, + { + "from": "human", + "value": "Analyze this table picture about 'ghost the musical' and classify whether the given table entails or conflicts with the claim. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\n\nlisa davina phillips was the manchester performer of the character clara" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the claim. Consequently, the answer is {\"answer\": \"entails\"}." + }, + { + "from": "human", + "value": "Examine whether the subsequent statement is upheld or disputed by the given table titled 'ghost the musical'. Output the final answer as JSON in the format {\"answer\": \"\"}.\nsharon d clarke performed on broadway" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the statement is not valid. Hence, the answer is {\"answer\": \"disputed\"}." + }, + { + "from": "human", + "value": "According to the table information regarding 'ghost the musical', tell me whether the provided table entails or conflicts with the statement. Show your final answer in the JSON format {\"answer\": \"\"}.\ntyler mcgee was the broadway equivalent of sharon d clarke 's character" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the statement is false. Consequently, the answer is {\"answer\": \"conflicts with\"}." + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following claim is entailed or opposed by the table. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\ntable title:ghost the musical\nclaim: sharon d clarke 's character was originally portrayed on broadway by da'vine joy randolph" + }, + { + "from": "gpt", + "value": "Based on the table information, the claim is true. Thus, the answer is {\"answer\": \"entailed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_5019", + "image": "table_instructV/images/Rotowire_train_table_1540.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pelicans | New Orleans | 105 | 20 | 25 | 37 | 23 | 23 | 46 | 12 | 43 | 63 | 41 | 18 | 28 | | | | |\n| Thunder | Oklahoma City | 114 | 33 | 31 | 28 | 22 | 24 | 55 | 16 | 46 | 71 | 37 | 27 | 19 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pelicans | | | | | | | | | | | | | | | | | | |\n| E'Twaun Moore | 28 | 18 | 7 | 2 | 6-9 | 67% | 2-3 | 67% | 4-4 | 100% | 1 | 0 | 1 | 2 | 5 | 2 | N/A | New Orleans |\n| Tyreke Evans | 22 | 14 | 5 | 9 | 5-11 | 46% | 1-3 | 33% | 3-6 | 50% | 1 | 2 | 0 | 0 | 5 | 3 | N/A | New Orleans |\n| Solomon Hill | 28 | 14 | 8 | 2 | 6-10 | 60% | 2-4 | 50% | 0-0 | 0% | 0 | 1 | 2 | 3 | 5 | 2 | F | New Orleans |\n| Jrue Holiday | 32 | 14 | 2 | 8 | 6-11 | 55% | 2-4 | 50% | 0-0 | 0% | 4 | 4 | 1 | 1 | 1 | 2 | G | New Orleans |\n| Terrence Jones | 27 | 12 | 4 | 1 | 6-17 | 35% | 0-1 | 0% | 0-1 | 0% | 1 | 0 | 1 | 2 | 2 | 2 | F | New Orleans |\n| Donatas Motiejunas | 17 | 10 | 4 | 0 | 4-6 | 67% | 1-2 | 50% | 1-2 | 50% | 0 | 2 | 0 | 0 | 4 | 5 | N/A | New Orleans |\n| Anthony Davis | 16 | 8 | 5 | 0 | 2-8 | 25% | 0-0 | 0% | 4-6 | 67% | 0 | 2 | 1 | 0 | 5 | 2 | C | New Orleans |\n| Dante Cunningham | 25 | 7 | 6 | 0 | 3-5 | 60% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 3 | 1 | 5 | 1 | N/A | New Orleans |\n| Buddy Hield | 23 | 5 | 3 | 1 | 2-10 | 20% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 1 | G | New Orleans |\n| Langston Galloway | 18 | 3 | 2 | 0 | 1-9 | 11% | 1-5 | 20% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | New Orleans |\n| Omer Asik | 4 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 2 | N/A | New Orleans |\n| Alexis Ajinca | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| Tim Frazier | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Russell Westbrook | 36 | 27 | 12 | 10 | 7-22 | 32% | 4-9 | 44% | 9-12 | 75% | 1 | 8 | 1 | 1 | 11 | 3 | G | Oklahoma City |\n| Steven Adams | 32 | 20 | 11 | 3 | 9-15 | 60% | 0-0 | 0% | 2-4 | 50% | 1 | 4 | 4 | 5 | 6 | 2 | C | Oklahoma City |\n| Enes Kanter | 21 | 17 | 11 | 2 | 6-13 | 46% | 0-0 | 0% | 5-5 | 100% | 0 | 1 | 0 | 3 | 8 | 1 | N/A | Oklahoma City |\n| Victor Oladipo | 35 | 15 | 4 | 2 | 5-11 | 46% | 3-7 | 43% | 2-3 | 67% | 2 | 1 | 2 | 0 | 4 | 1 | G | Oklahoma City |\n| Alex Abrines | 18 | 11 | 0 | 0 | 4-5 | 80% | 2-2 | 100% | 1-1 | 100% | 1 | 0 | 1 | 0 | 0 | 3 | N/A | Oklahoma City |\n| Domantas Sabonis | 28 | 8 | 6 | 0 | 4-7 | 57% | 0-2 | 0% | 0-1 | 0% | 0 | 1 | 0 | 1 | 5 | 4 | F | Oklahoma City |\n| Andre Roberson | 28 | 8 | 4 | 1 | 4-5 | 80% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 3 | 1 | 3 | 0 | F | Oklahoma City |\n| Cameron Payne | 12 | 5 | 0 | 3 | 2-6 | 33% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Oklahoma City |\n| Joffrey Lauvergne | 10 | 2 | 2 | 2 | 1-5 | 20% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Oklahoma City |\n| Jerami Grant | 20 | 1 | 5 | 1 | 0-2 | 0% | 0-1 | 0% | 1-2 | 50% | 0 | 1 | 0 | 1 | 4 | 3 | N/A | Oklahoma City |\n| Anthony Morrow | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Nick Collison | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Kyle Singler | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |" + }, + { + "from": "human", + "value": "Write a match report for the NBA game on 2017-01-25 between Pelicans and Thunder. Use the given statistics in the image as your reference." + }, + { + "from": "gpt", + "value": "The visiting Oklahoma City Thunder pulled out a win over the New Orleans Pelicans on Wednesday, 114-105. The Thunder (27-19) capped off a six-game road trip on Wednesday, finishing 3-3 during the stretch thanks to the win in New Orleans. Point guard Russell Westbrook recorded what has become an almost routine triple-double in the victory, scoring 27 points to go with 12 rebounds and 10 assists. The triple-double, Westbrook 's 24th of the season, keeps the All-Star on pace to eclipse Wilt Chamberlain 's ridiculous record of 41 triple-doubles in one season. In addition to typical strong play from Westbrook, the Thunder benefited from the partial absence of Pelicans superstar Anthony Davis, who left the game with a quad contusion. With the New Orleans frontcourt depleted, OKC 's big men were able to feast on the boards. The team held an eight-rebound advantage and both Steven Adams and Enes Kanter posted double-doubles in the win. Due in part to the departure of Davis, New Orleans (18-28) relied heavily on bench production to keep the game close. Guard E'Twaun Moore came off the bench for 18 points, a team high, and pulled down eight rebounds. Three members of the second unit finished with double digit points totals, and sixth man Tyreke Evans provided help facilitating the offense as he dished out nine assists. Ultimately, however, Davis 's absence and a thin frontcourt ended up being problematic for the Pelicans. In addition to the rebounding deficit, New Orleans saw 11 of its shots blocked on the night. OKC will host the Mavericks on Thursday, while New Orleans will play host to the Spurs on Friday." + } + ] + }, + { + "id": "table_instructV_multi_round_5050", + "image": "table_instructV/images/TABMWP_9055.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $285 | 18,200 | 5,800 |\n| $385 | 14,700 | 6,400 |\n| $485 | 11,200 | 7,000 |\n| $585 | 7,700 | 7,600 |\n| $685 | 4,200 | 8,200 |" + }, + { + "from": "human", + "value": "With the table image in mind, formulate a detail solution for the math problem. Show specific steps towards the answer. Format the ultimate answer as a JSON, using the structure {\"answer\": \"\"}.\n\nLook at the table. Then answer the question. At a price of $685, is there a shortage or a surplus? (A) shortage (B) surplus" + }, + { + "from": "gpt", + "value": "At the price of $685, the quantity demanded is less than the quantity supplied. There is too much of the good or service for sale at that price. So, there is a surplus.\n\n\nTherefore, the final answer is {\"answer\": \"surplus\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_5125", + "image": "table_instructV/images/TAT-QA_56dcaa45-660c-406c-be71-9c3e6869db8a.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| | | | Fair Value Measurements at Reporting Date Using | |\n| --- | --- | --- | --- | --- |\n| | December 31, 2019 | Quoted Prices in Active Markets for Identical Assets (Level 1) | Significant Other Observable Inputs (Level 2) | Significant Unobservable Inputs (Level 3) |\n| Assets: | | | | |\n| Cash equivalents: | | | | |\n| Money market funds . | $7,322 | $7,322 | $ — | $ — |\n| Marketable securities: | | | | |\n| Foreign debt | 387,820 | — | 387,820 | — |\n| Foreign government obligations | 22,011 | — | 22,011 | — |\n| U.S. debt . | 66,134 | — | 66,134 | — |\n| Time deposits . | 335,541 | 335,541 | — | — |\n| Restricted investments . | 223,785 | — | 223,785 | — |\n| Derivative assets . | 1,338 | — | 1,338 | — |\n| Total assets . | $ 1,043,951 | $ 342,863 | $ 701,088 | $ — |\n| Liabilities: | | | | |\n| Derivative liabilities | $ 10,021 | $ — | $ 10,021 | $ — |" + }, + { + "from": "human", + "value": "This image shows a table. Return the contents of cells at the indicated positions in the table. Positions are identified by row and column indices. Represent each cell value in the JSON format {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"\"}. For instance, {\"row_id\":\"5\", \"column_id\":\"4\", \"cell_value\":\"missouri 4\"}.\nSpecified positions:\nthe 14th row and the 1st column\nthe 15th row and the 5th column\nthe 13th row and the 4th column\nthe 13th row and the 2nd column\nthe 5th row and the 3rd column" + }, + { + "from": "gpt", + "value": "The target cell values are as follows:\n{\"row_id\":\"14\", \"column_id\":\"1\", \"cell_value\":\"Liabilities:\"}\n{\"row_id\":\"15\", \"column_id\":\"5\", \"cell_value\":\"$ —\"}\n{\"row_id\":\"13\", \"column_id\":\"4\", \"cell_value\":\"$ 701,088\"}\n{\"row_id\":\"13\", \"column_id\":\"2\", \"cell_value\":\"$ 1,043,951\"}\n{\"row_id\":\"5\", \"column_id\":\"3\", \"cell_value\":\"$7,322\"}" + }, + { + "from": "human", + "value": "The image shows a table. Answer the following question based on the table. Besides, your final answer should be in the JSON format {\"answer\": []} such as {\"answer\": [\"87.56\", \"12.43\"]}.\nWhat is the percentage constitution of money market funds among the total assets as of December 31, 2019?" + }, + { + "from": "gpt", + "value": "To answer the given question, we need to conduct the following computations:\n7322/1043951 = 0.7\nTherefore, the final answer is {\"answer\": [\"0.7\"]}." + }, + { + "from": "human", + "value": "Could you analyze the table shown in the image and inform me about all the merged cell areas? Use the JSON {'top-left':(x, y), 'bottom-right':(z, w)} to represent each merged area, with (x, y) as the (first row, first column) and (z, w) as the (last row, last column). Note that the x, y, z, w all start from 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "column 5\nExtract the contents of cells in the above column. Provide the cells in a column in the JSON structure, using the format {\"column_id\":\"\", \"cell_list\":\"\"}." + }, + { + "from": "gpt", + "value": "The cells in column 5: {\"column_id\": \"5\", \"cell_list\": ['', 'Significant Unobservable Inputs (Level 3)', '', '', '$ —', '', '—', '—', '—', '—', '—', '—', '$ —', '', '$ —']}" + } + ] + }, + { + "id": "table_instructV_multi_round_5131", + "image": "table_instructV/images/ToTTo_train_table_5682.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Date | District | Ward | Candidate | Votes | % |\n| --- | --- | --- | --- | --- | --- |\n| 22 May 2014 | Reading Borough Council | Battle | Jean-Louis Pascual | 43 | 2.0 |" + }, + { + "from": "human", + "value": "Generate a one-sentence summary about the highlighted table cells based on the following Wikipedia table and its metadata. \nTable title: Roman Party\nSection title: Elections contested\nSection text: Parliamentary elections General election, 7 May 2015 European Parliament elections 2009 European elections 2014 European elections Local elections" + }, + { + "from": "gpt", + "value": "Jean-Louis Pascual of the Roman Party contested in elections for Reading Borough Council in the Battle ward and received 43 votes on 22 May 2014." + } + ] + }, + { + "id": "table_instructV_multi_round_5146", + "image": "table_instructV/images/ToTTo_train_table_33022.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| Name | Nationality | Position | Gillingham career | Appearances | Goals | Notes |\n| --- | --- | --- | --- | --- | --- | --- |\n| Ron Hillyard | England | GK | 1974–1991 | 655 | 0 | |\n| John Simpson | England | GK | 1957–1972 | 616 | 0 | |\n| Mark Weatherly | England | FW/DF | 1974–1989 | 543 | 55 | |\n| Jimmy Boswell | England | MF | 1946–1958 | 523 | 13 | |\n| Charlie Marks | England | DF | 1943–1957 | 434 | 10 | |\n| Dick Tydeman | England | MF | 1969–1977 1981–1984 | 419 | 18 | |\n| Paul Smith | England | MF | 1997–2005 2005–2006 | 396 | 26 | |\n| Jock Robertson | England | DF | 1919–1933 | 395 | 1 | |\n| Brian Yeo | England | FW | 1963–1975 | 387 | 149 | |\n| Nicky Southall | England | DF/MF | 1997–2001 2002–2005 2007–2009 2010–2012 | 379 | 30 | |\n| Andy Hessenthaler | England | MF | 1996–2006 | 363 | 36 | |\n| Damien Richardson | Ireland | FW | 1972–1981 | 357 | 102 | |\n| Dennis Hunt | England | DF | 1958–1968 | 355 | 6 | |\n| Barry Ashby | England | DF | 1997–2005 | 319 | 10 | |\n| Ken Price | England | FW | 1976–1983 | 294 | 89 | |\n| Brian Gibbs | England | FW | 1962–1969 | 284 | 110 | |\n| Dave Galvin | England | DF | 1969–1977 | 276 | 20 | |\n| Steve Lovell | Wales | FW | 1986–1993 | 275 | 104 | |\n| Graham Knight | England | DF | 1970–1979 | 274 | 10 | |\n| Jack Mahon | unknown | MF | 1909–1920 | 271 | 5 | |\n| Tony Cascarino | Ireland | FW | 1981–1987 | 269 | 110 | |\n| Chris Hope | England | DF | 2000–2006 | 264 | 15 | |\n| Dave Quirke | Ireland | DF | 1967–1974 | 254 | 3 | |\n| Neil Smith | England | MF | 1991–1997 | 253 | 15 | |\n| Tug Wilson | England | FW | 1936–1949 | 253 | 113 | |\n| Richard Green | England | DF | 1991–1998 | 251 | 17 | |\n| John Meredith | England | FW | 1963–1969 | 251 | 7 | |\n| Danny Westwood | England | FW | 1975–1982 | 238 | 77 | |\n| Steve Bruce | England | DF | 1979–1984 | 237 | 37 | |\n| John Sharpe | England | DF | 1978–1985 | 232 | 2 | |\n| Stuart Nelson | England | GK | 2012–2018 | 223 | 0 | |\n| Cody McDonald | England | FW | 2010–2011 2013 2013–2017 | 223 | 81 | |\n| Vince Bartram | England | GK | 1997–2004 | 222 | 0 | |\n| Gordon Pulley | England | FW | 1958–1966 | 222 | 51 | |\n| Harry Hughes | England | DF | 1958–1963 | 221 | 16 | |\n| George Forrester | England | MF | 1947–1955 | 221 | 36 | |\n| Alec Farrall | England | MF | 1960–1965 | 220 | 21 | |\n| Bill Parry | Wales | DF | 1955–1961 | 220 | 4 | |\n| Fred Lester | England | DF | 1931–1937 | 211 | 0 | |\n| Hughie Russell | England | FW | 1946–1952 | 209 | 120 | |\n| Tommy Hall | England | FW | 1920–1926 | 207 | 55 | |\n| Mark Saunders | England | MF | 1998–2006 | 206 | 18 | |\n| John Overton | England | DF | 1976–1981 | 205 | 11 | |\n| David Peach | England | DF | 1969–1974 | 205 | 31 | |\n| Terry Nicholl | England | MF | 1976–1981 | 204 | 12 | |\n| John Arnott | England | MF | 1962–1968 | 204 | 3 | |\n| Ron Lewin | England | DF | 1950–1955 | 204 | 1 | |\n| John Crabbe | England | MF | 1976–1981 | 203 | 14 | |\n| Tommy Rigg | England | GK | 1951–1956 | 201 | 0 | |\n| Nyron Nosworthy | England | DF/FW | 1998–2005 | 199 | 6 | |\n| Adrian Pennock | England | DF | 1996–2003 | 199 | 4 | |\n| Andrew Crofts | Wales | MF | 2001–2009 2016 | 197 | 19 | |\n| Karl Elsey | Wales | MF/DF | 1985–1988 1991–1992 | 196 | 19 | |\n| Mark Bentley | England | MF | 2006–2011 | 195 | 15 | |\n| Paul Haylock | England | DF | 1986–1990 | 194 | 1 | |\n| Guy Butters | England | DF | 1996–2002 | 193 | 17 | |\n| Tommy Kingsnorth | England | DF | 1946–1951 | 192 | 11 | |\n| Mark O'Connor | England | MF | 1989–1993 1995–1997 | 188 | 10 | |\n| Bill Williams | England | DF | 1967–1972 | 188 | 8 | |\n| Danny Spiller | England | MF | 2001–2007 2010–2012 | 187 | 10 | |\n| Bradley Dack | England | MF | 2012–2017 | 185 | 38 | |\n| Les Riggs | England | MF | 1953–1958 1964–1966 | 182 | 6 | |\n| Jake Hessenthaler | England | MF | 2013–2018 | 181 | 9 | |\n| Ray Bailey | England | MF | 1966–1971 | 180 | 10 | |\n| Jack Frettingham | England | FW | 1896–1903 | 180 | 76 | |\n| Joe Martin | England | DF | 2010–2015 | 179 | 8 | |\n| Tony Butler | England | DF | 1990–1996 | 179 | 7 | |\n| Tony Weston | England | DF | 1964–1970 | 179 | 3 | |\n| Danny Jackman | England | DF | 2005–2007 2009–2013 | 178 | 9 | |\n| Jackie Briggs | England | FW | 1946–1953 | 178 | 62 | |\n| Albert Collins | England | DF | 1929–1934 | 178 | 4 | |\n| Andrew Mosley | England | DF | 1910–1915 | 178 | 0 | |\n| Mel Machin | England | MF | 1966–1971 | 177 | 12 | |\n| George Jacks | England | MF | 1972–1976 | 174 | 21 | |\n| Roy Bethell | England | FW | 1929–1935 | 173 | 34 | |\n| Iffy Onuora | Scotland | FW | 1996–1998 1999–2002 | 172 | 55 | |\n| Peter Shaw | England | DF | 1981–1986 | 171 | 5 | |\n| Alan Wilks | England | FW | 1971–1976 | 171 | 34 | |\n| Alan Walker | England | DF | 1987–1992 | 170 | 16 | |\n| Curtis Weston | England | MF | 2008–2012 | 167 | 19 | |\n| Barry Fuller | England | DF | 2008–2012 2018– | 167 | 1 | |\n| Ian Cox | Trinidad and Tobago | DF | 2003–2008 | 167 | 6 | |\n| Wally Battiste | England | FW | 1920–1924 1930–1931 | 165 | 8 | |\n| Abel Lee | England | MF | 1911–1920 | 165 | 16 | |\n| Vic Niblett | England | DF | 1951–1956 | 164 | 0 | |\n| Ernie Morgan | England | FW | 1953–1957 | 163 | 77 | |\n| Dave Shipperley | England | DF | 1974–1978 | 160 | 11 | |\n| Mel Sage | England | DF | 1981–1986 | 159 | 7 | |\n| John Nutter | England | DF | 2007–2011 | 157 | 3 | |\n| Max Ehmer | Germany | DF | 2014–2015 2015– | 156 | 12 | |\n| Tom Leslie | Scotland | FW | 1919–1920 | 156 | 9 | |\n| Dave Mehmet | England | MF | 1982–1986 | 155 | 43 | |\n| Dave Whitelaw | England | GK | 1935–1939 | 154 | 0 | |\n| Roy Proverbs | England | DF | 1957–1962 | 153 | 2 | |\n| Paul Shaw | England | FW | 2000–2004 | 151 | 29 | |\n| George Lloyd | England | MF | 1903–1908 | 148 | 0 | |\n| Dennis Oli | England | FW | 2007–2012 | 147 | 15 | |\n| Mark Patterson | England | DF | 1997–2003 | 147 | 2 | |\n| Mike Green | England | DF | 1968–1971 | 147 | 28 | |\n| Joe Elliott | unknown | MF | 1902–1907 | 146 | 2 | |\n| Jimmy Scarth | England | FW | 1951–1955 | 145 | 25 | |\n| Lee Palmer | England | DF | 1987–1995 | 143 | 5 | |\n| Harry Ayres | England | MF | 1950–1955 | 143 | 2 | |\n| George Piper | England | MF | 1946–1951 | 142 | 7 | |\n| A.V. Bailey | unknown | GK | 1909–1915 | 142 | 0 | |\n| Arthur Johnson | unknown | MF | 1909–1915 | 142 | 5 | |\n| Richard Carpenter | England | MF | 1990–1997 | 141 | 5 | |\n| Paddy Sowden | England | FW | 1952–1956 | 140 | 28 | |\n| George Dorling | England | DF | 1947–1951 | 140 | 3 | |\n| Ronnie Bacon | England | FW | 1958–1961 | 139 | 15 | |\n| James Atherton | unknown | MF | 1898–1904 | 139 | 3 | |\n| Steve Butler | England | FW | 1995–1999 1999–2000 | 138 | 25 | |\n| Kenny Hill | England | DF | 1971–1977 | 138 | 8 | |\n| Jason Brown | Wales | GK | 2001–2006 | 137 | 0 | |\n| Billy Hughes | England | MF | 1975–1981 | 137 | 8 | |\n| Jock Taylor | Scotland | FW | 1909–1913 | 137 | 45 | |\n| Danny Kedwell | England | FW | 2011–2015 | 136 | 45 | |\n| Dean White | England | MF | 1978–1983 | 135 | 28 | |\n| Jack Hannaway | England | MF | 1957–1960 | 135 | 5 | |\n| Joe Dunne | Ireland | DF | 1990–1996 | 134 | 1 | |\n| Johnny Warsap | England | FW | 1945–1953 | 134 | 45 | |\n| Dave Smith | England | FW | 1986–1989 | 131 | 14 | |\n| Terry Cochrane | Northern Ireland | MF | 1983–1986 | 131 | 21 | |\n| George Needham | England | MF | 1920–1924 | 131 | 15 | |\n| Jim Stannard | England | GK | 1995–1999 | 128 | 0 | |\n| Joe Hinnigan | England | DF | 1984–1987 | 127 | 9 | |\n| Fred Maven | England | MF | 1905–1909 | 127 | 3 | |\n| Tom Holland | England | GK | 1932–1936 | 126 | 0 | |\n| Roland Edge | England | DF | 1998–2003 | 125 | 1 | |\n| Tim O'Shea | Ireland | DF | 1988–1992 | 125 | 2 | |\n| John Sitton | England | DF | 1981–1985 | 125 | 5 | |\n| Gordon Riddick | England | MF | 1966–1970 | 125 | 27 | |\n| Simon Ratcliffe | England | MF | 1995–1998 | 124 | 13 | |\n| George Kidd | Scotland | FW | 1932–1935 | 124 | 2 | |\n| Chris Whelpdale | England | MF | 2010 2011–2014 | 122 | 23 | |\n| Garry Richards | England | DF | 2008–2012 | 122 | 6 | |\n| Matt Jarvis | England | MF | 2003–2007 | 122 | 16 | |\n| Matt Bryant | England | DF | 1996–2000 | 122 | 0 | |\n| Martin Robinson | England | FW | 1984–1987 | 121 | 31 | |\n| A.H. Nobbs | unknown | DF | 1908–1912 | 121 | 0 | |\n| Gary Mulligan | Ireland | FW | 2005–2009 | 120 | 17 | |\n| Billy Manuel | England | MF | 1988–1991 1995–1997 | 120 | 4 | |\n| Mike Burgess | Canada | DF | 1962–1966 | 120 | 2 | |\n| Jimmy Watson | England | FW | 1935–1938 | 120 | 45 | |\n| Dave Shearer | Scotland | FW | 1984–1988 | 119 | 50 | |\n| Pat Terry | England | FW | 1958–1961 | 119 | 66 | |\n| Harry Randle | England | MF | 1934–1937 | 119 | 2 | |\n| Freddie Fox | England | GK | 1922–1925 | 119 | 0 | |\n| Andy Barcham | England | FW | 2008–2011 | 116 | 23 | |\n| Marlon King | Jamaica | FW | 2000–2004 | 116 | 47 | |\n| Bill Brown | England | FW | 1965–1968 | 116 | 34 | |\n| Simeon Jackson | Canada | FW | 2008–2010 | 115 | 42 | |\n| Mamady Sidibe | Mali | FW | 2002–2005 | 114 | 13 | |\n| Derek Woodley | England | FW | 1967–1971 | 114 | 9 | |\n| Frank Marshall | Scotland | FW | 1924–1927 | 114 | 20 | |\n| Jack Payne | England | DF | 2008–2013 | 113 | 6 | |\n| Gary Micklewhite | England | MF/DF | 1993–1996 | 113 | 4 | |\n| Howard Pritchard | Wales | MF | 1986–1988 | 113 | 23 | |\n| Ralph Miller | England | DF | 1965–1968 | 113 | 4 | |\n| Johnny Burke | Ireland | GK | 1947–1951 | 113 | 0 | |\n| Jack Beacham | England | MF | 1929–1932 | 113 | 1 | |\n| Fred Ellis | England | MF | 1925–1931 | 113 | 1 | |\n| Bill Armstrong | England | DF | 1936–1946 | 113 | 0 | |\n| Simon King | England | DF | 2007–2012 | 112 | 3 | |\n| Albert Court | unknown | FW | 1908–1914 | 112 | 36 | |\n| Charlie Lee | England | MF | 2010 2011–2014 | 111 | 11 | |\n| Paul Clark | England | DF | 1991–1994 | 111 | 2 | |\n| Norman Jones | England | MF | 1923–1927 | 111 | 3 | |\n| Simon Royce | England | GK | 2007–2010 | 109 | 0 | |\n| Leon Johnson | England | DF | 2002–2007 | 108 | 2 | |\n| Fred Brown | England | FW | 1923–1927 | 108 | 30 | |\n| Jack Reynolds | England | FW | 1908–1911 | 108 | 16 | |\n| Jeff Johnson | Wales | MF | 1982–1985 | 107 | 6 | |\n| Trevor Quow | England | MF | 1986–1989 | 106 | 5 | |\n| Keith Oakes | England | DF | 1984–1987 | 106 | 8 | |\n| Michael Flynn | Wales | MF | 2004–2007 | 105 | 21 | |\n| Harvey Lim | England | GK | 1989–1993 | 105 | 0 | |\n| Micky Adams | England | DF | 1979–1983 | 104 | 4 | |\n| Charlie Rackstraw | England | FW | 1964–1967 | 104 | 27 | |\n| Josh Wright | England | MF | 2009 2015–2017 | 103 | 15 | |\n| Dennis Bailey | England | FW | 1995–1998 | 103 | 13 | |\n| John Martin | unknown | DF/GK | 1905–1908 | 103 | 1 | |\n| Mark Byrne | Ireland | MF | 2016– | 102 | 7 | |\n| Gary Armstrong | England | DF | 1975–1980 1983–1984 | 102 | 2 | |\n| Ian Docker | England | MF | 1987–1991 | 101 | 3 | |\n| Colin Duncan | England | MF | 1979–1984 | 101 | 5 | |\n| Andy Smillie | England | FW | 1968–1971 | 101 | 9 | |\n| Ron Newman | England | FW | 1963–1966 | 101 | 22 | |\n| Cyril Poole | England | DF | 1945–1949 | 101 | 12 | |\n| David Crown | England | FW | 1990–1993 | 100 | 46 | |\n| Ted West | England | DF | 1954–1957 | 100 | 0 | |\n| Dave Thomas | England | FW | 1945–1946 1950–1953 | 100 | 61 | |\n| Dave Hutcheson | unknown | FW | 1894–1900 | 100 | 41 | |\n| Bill Floyd | England | DF | 1905–1908 | 99 | 0 | |\n| David Perpetuini | England | MF | 2001–2005 | 98 | 5 | |\n| George Bishop | Wales | MF | 1929–1932 | 98 | 0 | |\n| Jimmy Nichol | Scotland | MF | 1925–1927 1937 | 98 | 2 | |\n| Adam Miller | Northern Ireland | MF | 2007–2010 | 97 | 13 | |\n| Billy Millar | Scotland | FW | 1953–1956 | 97 | 38 | |\n| Arthur Pickett | England | FW | 1908–1911 | 96 | 20 | |\n| Adam Barrett | England | DF | 2012–2015 | 95 | 3 | |\n| Guy Ipoua | Cameroon | FW | 2000–2003 | 94 | 15 | |\n| Andy Arnott | England | FW | 1991–1996 | 94 | 13 | |\n| Tom Hopkins | England | MF | 1933–1937 | 94 | 2 | |\n| George Ley | England | DF | 1974–1976 | 93 | 3 | |\n| John Egan | Ireland | DF | 2014–2016 | 92 | 11 | |\n| Leon Legge | England | DF | 2013–2015 | 92 | 8 | |\n| Marcus Browning | Wales | MF | 1998–2002 | 92 | 3 | |\n| Billy Evans | England | FW | 1953–1955 | 92 | 12 | |\n| George Barrie | Scotland | DF | 1934–1937 | 92 | 1 | |\n| Bob Innes | Scotland | MF | 1898–1901 | 92 | 8 | |\n| Tony Eeles | England | MF | 1988–1993 | 91 | 5 | |\n| Carl Asaba | England | FW | 1998–2001 | 90 | 40 | |\n| Phil Kite | England | GK | 1986–1989 | 90 | 0 | |\n| Tom Strang | unknown | MF | 1909–1912 | 90 | 1 | |\n| Geoff Hudson | England | DF | 1963–1965 | 89 | 1 | |\n| Sim Raleigh | England | FW | 1932–1934 | 89 | 34 | |\n| Jack Rutherford | England | DF | 1924–1927 | 89 | 2 | |\n| Bradley Garmston | Ireland | DF | 2015 2015– | 88 | 3 | |\n| Davie Laing | Scotland | MF | 1957–1959 | 88 | 5 | |\n| Edwin Scott | England | FW | 1935–1939 | 88 | 10 | |\n| Fred Liddle | England | FW | 1932–1934 | 88 | 19 | |\n| Charlie Freeman | England | FW | 1921–1923 | 88 | 24 | |\n| Mick Galloway | England | MF | 1996–1997 | 87 | 5 | |\n| Graham Pearce | England | DF | 1986–1988 | 87 | 0 | |\n| Bill Berry | England | FW | 1923–1926 | 87 | 12 | |\n| Jack Branfield | England | GK | 1920–1922 | 87 | 0 | |\n| Mike Gibson | England | GK | 1972–1974 | 86 | 0 | |\n| James Graham | unknown | MF | 1897–1901 | 86 | 1 | |\n| Matt Fish | England | DF | 2012–2015 | 85 | 4 | |\n| Mike Trusson | England | MF | 1989–1992 | 85 | 7 | |\n| Teddy Bateup | England | GK | 1908–1910 | 85 | 0 | |\n| Arthur Wood | England | FW | 1919–1922 | 84 | 23 | |\n| Adebayo Akinfenwa | England | FW | 2010–2011 2013–2014 | 83 | 21 | |\n| Ken Pound | England | FW | 1969–1971 | 83 | 12 | |\n| Syd Hartley | England | DF | 1936–1938 | 83 | 2 | |\n| Bill Marriott | unknown | FW | 1905–1908 | 83 | 17 | |\n| Charlie Butler | England | DF | 1923–1925 | 82 | 0 | |\n| Myles Weston | England | MF | 2012–2014 | 82 | 10 | |\n| Jock Henderson | Scotland | DF | 1922–1924 | 82 | 9 | |\n| Martin Higgins | unknown | MF | 1909–1911 | 82 | 2 | |\n| Robert Taylor | England | FW | 1998–2000 2001–2002 | 81 | 39 | |\n| Gavin Peacock | England | MF | 1987–1989 | 81 | 12 | |\n| John Leslie | England | FW | 1983–1985 | 81 | 17 | |\n| Syd Tyler | England | DF | 1927–1929 | 81 | 0 | |\n| Ryan Jackson | England | DF | 2015–2017 | 80 | 3 | |\n| Alan Julian | Northern Ireland | GK | 2008–2011 | 80 | 0 | |\n| Mark Harris | England | DF | 1995–1997 | 80 | 3 | |\n| Colin Greenall | England | DF | 1986–1988 | 80 | 9 | |\n| Errol Crossan | Canada | FW | 1955–1957 | 80 | 17 | |\n| Jackie Carr | Scotland | FW | 1948–1951 | 80 | 30 | |\n| Dick Goffin | unknown | FW | 1911–1914 | 80 | 13 | |\n| Luke Norris | England | FW | 2014–2016 | 79 | 15 | |\n| Paul Watson | England | DF | 1992–1996 | 79 | 2 | |\n| Russell Musker | England | MF | 1983–1986 | 79 | 8 | |\n| Bob Ridley | England | FW | 1961–1967 | 79 | 9 | |\n| Tom Sisson | England | DF | 1920–1923 | 79 | 0 | |\n| Stephen Smith | England | FW | 1906–1908 | 79 | 5 | |\n| Ben Dickenson | England | FW | 2014–2016 | 78 | 4 | |\n| Junior Lewis | England | FW | 1999–2001 | 78 | 8 | |\n| Peter Johnson | England | DF | 1989–1991 | 78 | 2 | |\n| Nicky Forster | England | FW | 1992–1994 | 78 | 26 | |\n| Andy Ford | England | DF | 1980–1982 | 78 | 5 | |\n| Dick Hendrie | Scotland | DF | 1923–1925 | 78 | 0 | |\n| Josh Parker | Antigua and Barbuda | FW | 2017– | 77 | 16 | |\n| Kevin Maher | Ireland | DF | 2008 2009–2011 | 76 | 0 | |\n| Peter Beadle | England | FW | 1988–1992 | 76 | 15 | |\n| Joe Jacques | England | MF | 1972–1975 | 76 | 1 | |\n| Alex Forbes | Scotland | MF | 1932–1935 | 76 | 1 | |\n| Tom Thompson | England | DF | 1920–1924 | 76 | 2 | |\n| Tomáš Holý | Czech Republic | GK | 2017– | 75 | 0 | |\n| Rory Donnelly | Northern Ireland | FW | 2015–2017 | 75 | 12 | |\n| Leo Fortune-West | England | FW | 1995–1998 | 75 | 22 | |\n| Keith Lindsey | England | DF | 1972–1975 | 75 | 5 | |\n| George Hebden | England | GK | 1927–1929 | 75 | 0 | |\n| Matt Lawrence | England | DF | 2010–2012 | 73 | 0 | |\n| Colin Powell | England | FW | 1981–1983 | 73 | 2 | |\n| Gordon Brown | Scotland | FW | 1959–1961 | 73 | 13 | |\n| Alex Ferguson | Scotland | GK | 1925–1927 | 73 | 0 | |\n| James Robertson | unknown | DF/GK | 1899–1901 | 73 | 0 | |\n| Dick Doncaster | Wales | FW | 1934–1936 | 72 | 18 | |\n| George Nicol | Scotland | FW | 1932–1934 | 72 | 42 | |\n| Ernest Harvey | England | DF | 1906–1908 | 72 | 1 | |\n| Darren Byfield | England | FW | 2004–2006 | 71 | 20 | |\n| Ronnie Waldock | England | FW | 1961–1964 | 71 | 15 | |\n| Peter Godfrey | England | FW | 1961–1965 | 71 | 10 | |\n| Doug Loft | England | MF | 2014–2016 | 70 | 6 | |\n| Eliot Martin | England | DF | 1991–1995 | 70 | 1 | |\n| Mickey Barker | England | DF | 1978–1980 | 70 | 3 | |\n| Trevor Long | England | FW | 1952–1955 | 70 | 16 | |\n| Richard Jackson | England | DF | 1932–1934 | 70 | 0 | |\n| Jimmy White | England | DF | 1963–1966 | 70 | 1 | |\n| John McGregor | England | DF | 1930–1932 | 70 | 2 | |\n| John W. White | unknown | DF | 1903–1905 | 70 | 3 | |\n| Elliott List | England | MF | 2015– | 69 | 5 | |\n| Ty Gooden | England | MF | 1999–2002 | 69 | 7 | |\n| Paul Baker | England | FW | 1992–1995 | 69 | 16 | |\n| Dave Wiltshire | England | DF | 1973–1976 | 69 | 2 | |\n| Sam Gilligan | Scotland | FW | 1913–1915 | 69 | 16 | |\n| Tom Eaves | England | FW | 2017– | 68 | 29 | |\n| Ade Akinbiyi | England | FW | 1996–1998 | 68 | 29 | |\n| Larry Baxter | England | FW | 1955–1957 | 68 | 7 | |\n| Sammy Meston | England | FW | 1926–1928 | 68 | 9 | |\n| John MacDonald | unknown | FW | 1898–1901 | 68 | 20 | |\n| Alf Meager | unknown | MF | 1894–1898 | 68 | 1 | |\n| Jermaine McGlashan | England | MF | 2014–2016 | 67 | 7 | |\n| Arthur Read | England | DF | 1922–1924 | 67 | 3 | |\n| Ernie Pinkney | Scotland | FW | 1913–1915 | 67 | 13 | |\n| Joe Walton | unknown | DF | 1904–1906 | 67 | 0 | |\n| Scott Wagstaff | England | MF | 2016–2018 | 66 | 4 | |\n| Andy Frampton | England | DF | 2011–2013 | 66 | 0 | |\n| Alan Pouton | England | MF | 2003–2007 | 66 | 3 | |\n| Robbie Reinelt | England | FW | 1993–1995 | 66 | 8 | |\n| Peter Heritage | England | FW | 1989–1991 | 66 | 11 | |\n| Gary West | England | DF | 1987–1989 | 66 | 3 | |\n| Bill Baldwin | England | FW | 1934–1936 | 66 | 28 | |\n| Deji Oshilaja | England | DF | 2015–2016 2016 2016–2017 | 65 | 5 | |\n| Andy Thomson | Scotland | FW | 1999–2001 | 65 | 22 | |\n| John Hodge | England | FW | 1998–1900 | 65 | 2 | |\n| Scott Barrett | England | GK | 1992–1995 | 65 | 0 | |\n| Bill White | Scotland | FW | 1930–1932 | 65 | 18 | |\n| John Watson | Scotland | DF | 1896–1899 | 65 | 2 | |\n| Luke O'Neill | England | DF | 2017– | 64 | 5 | |\n| Richard Rose | England | DF | 2000–2006 | 64 | 0 | |\n| Ivan Haines | England | DF | 1987–1991 | 64 | 0 | |\n| Bill Cockburn | England | DF | 1960–1962 | 64 | 1 | |\n| Bill Burtenshaw | England | FW | 1949–1952 | 64 | 21 | |\n| John Waugh | Scotland | DF | 1920–1922 | 64 | 4 | |\n| Aaron Morris | Wales | DF | 2014–2016 | 62 | 1 | |\n| Mark McCammon | Barbados | FW | 2008–2011 | 62 | 5 | |\n| Bill Raisbeck | Scotland | MF | 1902–1904 | 62 | 3 | |\n| Lewis Montrose | England | MF | 2011–2013 | 61 | 6 | |\n| Luke Rooney | England | MF | 2008–2012 | 61 | 6 | |\n| Gary Breen | Ireland | DF | 1992–1994 | 61 | 0 | |\n| Charlie Crickmore | England | FW | 1966–1968 | 61 | 17 | |\n| Charlie Burtenshaw | England | FW | 1949–1952 | 61 | 10 | |\n| Charlie Gellatly | England | DF | 1931–1934 | 61 | 0 | |\n| David Rogers | England | MF | 1926–1928 | 61 | 0 | |\n| P. Glen | Scotland | FW | 1912–1915 | 61 | 17 | |\n| Alf Milward | England | FW | 1901–1903 | 61 | 19 | |\n| Stuart Lewis | England | MF | 2008–2010 | 60 | 1 | |\n| Neil Smillie | England | FW | 1993–1995 | 60 | 3 | |\n| Mark Dempsey | Ireland | FW | 1990–1993 | 60 | 2 | |\n| Mark Cooper | England | FW | 1987–1989 | 60 | 11 | |\n| Nigel Williams | England | DF | 1976–1979 | 60 | 1 | |\n| Lew Collins | unknown | GK | 1945–1948 | 60 | 0 | |\n| John Smith | unknown | MF | 1937–1939 | 60 | 0 | |\n| Jonah Wilcox | England | FW | 1927–1929 | 60 | 30 | |\n| Gabriel Zakuani | DR Congo | DF | 2017– | 59 | 0 | |\n| Steven Gregory | England | MF | 2013–2014 | 59 | 0 | |\n| John Shepherd | England | FW | 1959–1961 | 59 | 26 | |\n| Bill Arblaster | England | FW | 1926–1928 | 59 | 24 | |\n| Josh Gowling | England | DF | 2009–2011 | 58 | 4 | |\n| David Fry | England | GK | 1983–1985 | 58 | 0 | |\n| George Francis | England | FW | 1962–1964 | 58 | 21 | |\n| Bill McCurdy | Scotland | DF | 1902–1904 | 58 | 0 | |\n| John Hills | England | DF | 2003–2005 | 57 | 3 | |\n| Paul Collins | England | MF | 1984–1987 | 57 | 4 | |\n| Frank McKee | Scotland | MF | 1952–1955 | 57 | 0 | |\n| Fred Cheesmur | England | FW | 1929–1930 | 57 | 20 | |\n| Arthur Dominy | England | FW | 1928–1929 | 57 | 17 | |\n| Leonard Dowell | Scotland | FW | 1927–1931 | 57 | 7 | |\n| Charlie Hafekost | England | FW | 1912–1914 | 57 | 15 | |\n| Joe Satterthwaite | England | FW | 1909–1911 | 57 | 19 | |\n| Lee Martin | England | DF | 2016–2018 | 56 | 6 | |\n| Tommy Johnson | England | FW | 2002–2005 | 56 | 9 | |\n| William Duncan | Scotland | FW | 1935–1937 | 56 | 8 | |\n| Tommy Caldwell | unknown | FW | 1912–1914 | 56 | 5 | |\n| Tommy Watson | Scotland | FW | 1970–1972 | 55 | 9 | |\n| Trevor Lee | England | FW | 1980–1983 | 54 | 14 | |\n| Joe Durrell | England | FW | 1975–1977 | 54 | 9 | |\n| Terry Parmenter | England | FW | 1971–1973 | 54 | 0 | |\n| Reginald Neal | England | FW | 1937–1938 | 54 | 4 | |\n| Fred Griffiths | Wales | GK | 1904–1906 | 54 | 0 | |\n| John Bradbury | England | FW | 1902–1904 | 54 | 2 | |\n| George Seeley | England | FW | 1899–1901 | 54 | 8 | |\n| Kevin James | England | FW | 2000–2004 | 53 | 4 | |\n| Dave Puttnam | England | FW | 1995–1997 | 53 | 3 | |\n| George Burley | Scotland | DF | 1988–1989 | 53 | 2 | |\n| Ron Saunders | England | FW | 1957–1959 | 53 | 26 | |\n| George Purcell | England | FW | 1932–1934 | 53 | 20 | |\n| Emmanuel Osadebe | Ireland | MF | 2015–2017 | 52 | 3 | |\n| Brian Clarke | England | DF | 1988–1992 | 52 | 0 | |\n| Pat Gavin | England | FW | 1988–1989 | 52 | 8 | |\n| Pat Walker | Ireland | FW | 1977–1981 | 52 | 3 | |\n| Bill Collins | Northern Ireland | MF | 1949–1951 | 52 | 1 | |\n| Bert Williams | Wales | FW | 1931–1932 1933–1935 | 52 | 7 | |\n| John Tatton | unknown | FW | 1913–1915 | 52 | 2 | |\n| Liburd Henry | Dominica | FW | 1992–1994 | 51 | 5 | |\n| Garry Kimble | England | FW | 1989–1991 | 51 | 0 | |\n| Jimmy McVeigh | England | DF | 1970–1972 | 51 | 1 | |\n| Derek Lewis | England | FW | 1950–1952 | 51 | 32 | |\n| Jim McAlpine | Scotland | MF | 1921–1923 | 51 | 0 | |\n| Albert Sutherland | England | DF | 1909–1911 | 51 | 0 | |\n| Conor Wilkinson | Ireland | FW | 2017– | 50 | 4 | |\n| Brent Sancho | Trinidad and Tobago | DF | 2005–2007 | 50 | 2 | |\n| Bill Patrick | Scotland | FW | 1958–1960 | 50 | 15 | |\n| Freddie Kingshott | England | GK | 1955–1957 | 50 | 0 | |\n| Wally Akers | unknown | FW | 1946–1948 | 50 | 23 | |\n| C.W. Johns | unknown | FW | 1910–1920 | 50 | 6 | |\n| C.H. Arthurs | unknown | MF | 1908–1911 | 50 | 5 | |\n| Dan Pellatt | unknown | MF | 1894–1897 | 50 | 4 | |" + }, + { + "from": "human", + "value": "Examine the following Wikipedia table, which is titled 'List of Gillingham F.C. players' and its section is titled 'Players'. \nSome important table cells are highlighted with a different background color. Please create a single sentence that summarizes the highlighted table cells." + }, + { + "from": "gpt", + "value": "Goalkeeper Ron Hillyard set a record with 655 appearances." + } + ] + }, + { + "id": "table_instructV_multi_round_5179", + "image": "table_instructV/images/TABMWP_5253.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $230 | 20,200 | 2,400 |\n| $250 | 15,400 | 6,400 |\n| $270 | 10,600 | 10,400 |\n| $290 | 5,800 | 14,400 |\n| $310 | 1,000 | 18,400 |" + }, + { + "from": "human", + "value": "Given a task involving a table image, your goal is to pinpoint the positions of specified cells. Format each cell's location as JSON in the format {'value': '', 'location': (row number, column number)}, with both row and column number starting from 1. For the case where a cell is not contained in the table, its location should be denoted as 'DOES NOT EXIST'.\nRefer to the cell values provided below:\n1. 'Th2 responses, proinflammatory',\n2. 'IL-1F10',\n3. '$250',\n4. '6,400',\n5. '20,200',\n6. '$230',\n7. '$270'," + }, + { + "from": "gpt", + "value": "The target cell locations are as follows:\n1. {'value': 'Th2 responses, proinflammatory', 'location': 'DOES NOT EXIST'}\n2. {'value': 'IL-1F10', 'location': 'DOES NOT EXIST'}\n3. {'value': '$250', 'location': (3, 1)}\n4. {'value': '6,400', 'location': (3, 3)}\n5. {'value': '20,200', 'location': (2, 2)}\n6. {'value': '$230', 'location': (2, 1)}\n7. {'value': '$270', 'location': (4, 1)}" + }, + { + "from": "human", + "value": "Problem: \nLook at the table. Then answer the question. At a price of $250, is there a shortage or a surplus? (A) shortage (B) surplus\n\nAnswer the above problem related to the table. Finally, your final answer should be in the JSON format of {\"answer\": \"\"}.\nSolution:" + }, + { + "from": "gpt", + "value": "At the price of $250, the quantity demanded is greater than the quantity supplied. There is not enough of the good or service for sale at that price. So, there is a shortage.\n\n\nSo, the answer is {\"answer\": \"shortage\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_5188", + "image": "table_instructV/images/TabFact_2-13119037-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| place | team | played | draw | lost | goals scored | goals conceded | points |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | cd fas | 18 | 8 | 1 | 34 | 16 | 35 |\n| 2 | cd luis ángel firpo | 18 | 4 | 5 | 27 | 19 | 31 |\n| 3 | alianza fc | 18 | 5 | 5 | 31 | 21 | 29 |\n| 4 | cd águila | 18 | 4 | 6 | 27 | 30 | 28 |\n| 5 | cd atlético balboa | 18 | 2 | 8 | 32 | 27 | 26 |\n| 6 | ad isidro metapán | 18 | 6 | 6 | 20 | 25 | 24 |\n| 7 | cd municipal limeño | 18 | 6 | 7 | 17 | 19 | 21 |\n| 8 | chalatenango | 18 | 9 | 5 | 20 | 23 | 19 |\n| 9 | arcense | 18 | 6 | 8 | 16 | 23 | 18 |\n| 10 | san salvador fc | 18 | 4 | 12 | 18 | 39 | 10 |" + }, + { + "from": "human", + "value": "Give you a table titled 'primera división de fútbol profesional clausura 2004' and a hypothesis which is 'the total value for lost is 8 , when points is greater than 21 , and draw is 3', select the correct relation between the table and the hypothesis based on the table information. Output the final answer as JSON in the format {\"answer\": \"\"}.\n\n(A) entails (the hypothesis is true)\n(B) challenges (the hypothesis is false)" + }, + { + "from": "gpt", + "value": "Based on the table, the hypothesis can not hold true. Thus, the final answer is {\"answer\": \"challenges\"}." + }, + { + "from": "human", + "value": "Based on the table image about 'primera división de fútbol profesional clausura 2004' and the subsequent hypothesis, determine if the table entails or disputes the subsequent hypothesis. Output the final answer as JSON in the format {\"answer\": \"\"}.\nhypothesis: when the points are greater than 21 and the draw is 2 the total value for lost is 8" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it entails the hypothesis. Hence, the answer is {\"answer\": \"entails\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_5250", + "image": "table_instructV/images/ToTTo_train_table_26386.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 2005 | The Bernie Mac Show | Sales associate | 1 episode |\n| 2006 | Nip/Tuck | Nastran | 1 episode |\n| 2007 | NCIS | Lt. Rihama Shaheen (uncredited) | 1 episode |\n| 2007 | The Unit | Pari | 1 episode |\n| 2007 | How I Met Your Mother | Girl #2 | Episode: \"Moving Day\" (S02E18) |\n| 2007 | Big Shots | Prostitute | Pilot episode |\n| 2008 | Lost | Translator | Episode: \"Confirmed Dead\" |\n| 2008 | The Shield | Dr. Lucine | 1 episode |\n| 2009 | Floored and Lifted | Caroline | 2 episodes |\n| 2010 | CSI: Miami | Salumeh Farooq | 1 episode |\n| 2010 | 24 | Dalia Hassan | Recurring role, 20 episodes |\n| 2010 | Outlaw | Patty Friedman | 2 episodes |\n| 2010–11 | The Event | Isabel | 5 episodes |\n| 2011 | A Gifted Man | Madeline Fahn | 1 episode |\n| 2012 | Harry's Law | Sarita Radan | 1 episode |\n| 2012 | Major Crimes | Roma Strauss | Episode: \"The Ecstasy and the Agony\" |\n| 2012–13 | Emily Owens, M.D. | Gina Bandhari | Main role |\n| 2013 | The Fosters | Gretchen | 1 episode |\n| 2014 | Rake | Scarlet Leon | Main Role |\n| 2014 | Legends | Ana Paulanos | 2 episodes |\n| 2014–2018 | Girlfriends' Guide to Divorce | Delia | Main role |\n| 2014–2015 | Extant | Shayna Velez | 6 episodes |\n| 2015 | Masters of Sex | Queen of Iran | 1 Episode (\"Three's a Crowd\") |\n| 2016 | The Fosters | Gretchen | 1 Episode (\"Clean\") |\n| 2018 | The Good Doctor | Dr. Ko | 2 episodes |\n| 2018 | Here and Now | Layla Shokrani | Main role |\n| 2018–present | NCIS: New Orleans | Special Agent Hannah Khoury | Series Regular |" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table and its metadata. You are required to generate a one-sentence description of highlighted table cells. \nTable title: Necar Zadegan\nSection title: Filmography" + }, + { + "from": "gpt", + "value": "In 2015, Zadegan appeared as Queen of Iran in, Masters of Sex." + } + ] + }, + { + "id": "table_instructV_multi_round_5320", + "image": "table_instructV/images/Rotowire_train_table_1158.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Raptors | Toronto | 111 | 23 | 23 | 30 | 35 | 15 | 42 | 8 | 51 | 74 | 38 | 8 | 2 | | | | |\n| Jazz | Utah | 93 | 25 | 24 | 23 | 21 | 22 | 38 | 11 | 44 | 73 | 31 | 4 | 7 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| DeMar DeRozan | 36 | 27 | 3 | 2 | 10-17 | 59% | 0-1 | 0% | 7-8 | 88% | 1 | 0 | 0 | 1 | 2 | 0 | G | Toronto |\n| Kyle Lowry | 33 | 19 | 3 | 4 | 8-14 | 57% | 2-4 | 50% | 1-1 | 100% | 1 | 2 | 0 | 0 | 3 | 5 | G | Toronto |\n| Jonas Valanciunas | 34 | 17 | 14 | 0 | 7-12 | 58% | 0-0 | 0% | 3-6 | 50% | 0 | 0 | 2 | 3 | 11 | 3 | C | Toronto |\n| Patrick Patterson | 25 | 16 | 5 | 1 | 7-11 | 64% | 2-5 | 40% | 0-0 | 0% | 1 | 2 | 0 | 3 | 2 | 3 | N/A | Toronto |\n| Lou Williams | 24 | 13 | 2 | 2 | 4-13 | 31% | 2-5 | 40% | 3-4 | 75% | 2 | 2 | 0 | 1 | 1 | 3 | N/A | Toronto |\n| Greivis Vasquez | 14 | 8 | 4 | 0 | 3-6 | 50% | 2-2 | 100% | 0-0 | 0% | 0 | 1 | 0 | 1 | 3 | 0 | N/A | Toronto |\n| James Johnson | 14 | 5 | 4 | 2 | 2-3 | 67% | 0-1 | 0% | 1-2 | 50% | 0 | 1 | 1 | 1 | 3 | 2 | N/A | Toronto |\n| Terrence Ross | 23 | 4 | 1 | 2 | 2-5 | 40% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | F | Toronto |\n| Amir Johnson | 23 | 2 | 3 | 2 | 0-1 | 0% | 0-0 | 0% | 2-2 | 100% | 1 | 0 | 2 | 1 | 2 | 0 | F | Toronto |\n| Tyler Hansbrough | 14 | 0 | 3 | 0 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 2 | 1 | 1 | N/A | Toronto |\n| Greg Stiemsma | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Landry Fields | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Charles Hayes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Jazz | | | | | | | | | | | | | | | | | | |\n| Derrick Favors | 29 | 18 | 6 | 2 | 9-11 | 82% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 5 | 3 | F | Utah |\n| Enes Kanter | 30 | 18 | 5 | 0 | 6-12 | 50% | 1-2 | 50% | 5-6 | 83% | 1 | 0 | 0 | 3 | 2 | 3 | C | Utah |\n| Gordon Hayward | 30 | 12 | 1 | 5 | 3-10 | 30% | 0-2 | 0% | 6-7 | 86% | 1 | 0 | 1 | 0 | 1 | 4 | F | Utah |\n| Trey Burke | 34 | 12 | 3 | 5 | 4-15 | 27% | 0-3 | 0% | 4-4 | 100% | 0 | 1 | 0 | 0 | 3 | 2 | G | Utah |\n| Alec Burks | 36 | 10 | 10 | 3 | 4-11 | 36% | 1-2 | 50% | 1-4 | 25% | 0 | 4 | 0 | 2 | 8 | 3 | G | Utah |\n| Rudy Gobert | 18 | 8 | 8 | 0 | 3-5 | 60% | 0-0 | 0% | 2-3 | 67% | 0 | 1 | 1 | 4 | 4 | 3 | N/A | Utah |\n| Trevor Booker | 18 | 6 | 0 | 1 | 1-2 | 50% | 1-2 | 50% | 3-4 | 75% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Utah |\n| Dante Exum | 18 | 6 | 2 | 2 | 2-4 | 50% | 1-1 | 100% | 1-2 | 50% | 1 | 3 | 0 | 0 | 2 | 1 | N/A | Utah |\n| Joe Ingles | 24 | 3 | 3 | 4 | 1-4 | 25% | 1-3 | 33% | 0-0 | 0% | 2 | 0 | 0 | 0 | 3 | 1 | N/A | Utah |\n| Ian Clark | 2 | 0 | 0 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 0 | 0 | N/A | Utah |\n| Jeremy Evans | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Utah |\n| Steve Novak | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |" + }, + { + "from": "human", + "value": "Based on the table image, your task is to extract the cells' values in column 10. Output the cell values in a column as JSON in the format {\"column_id\":\"\", \"cell_list\":\"\"}, e.g., {\"column_id\":\"3\", \"cell_list\": [\"123.89\", \"News gathering\", \"selected tools\"]}." + }, + { + "from": "gpt", + "value": "The target cell values of column 10: {\"column_id\": \"10\", \"cell_list\": ['TOV', '8', '11', '', 'FT', '', '7-8', '1-1', '3-6', '0-0', '3-4', '0-0', '1-2', '0-0', '2-2', '0-0', 'N/A', 'N/A', 'N/A', '', '0-0', '5-6', '6-7', '4-4', '1-4', '2-3', '3-4', '1-2', '0-0', '0-0', '0-0', 'N/A']}" + }, + { + "from": "human", + "value": "This picture contains data records of an NBA game between Raptors and Jazz. The game date is 11/15/2014. Based on the given data, generate a comprehensive summary for this game." + }, + { + "from": "gpt", + "value": "The Toronto Raptors (8-2) defeated the Utah Jazz (4-7) 111-93 on Saturday. Toronto was coming off a 100-93 loss to the Chicago Bulls on Thursday. The Raptors shot 51 percent from the field and 38 percent from beyond the arc to help them secure the win Saturday. DeMar DeRozan scored a game-high 27 points in 36 minutes. Toronto has two more games remaining on their seven-game homestand. They 'll face off against the Memphis Grizzlies on Wednesday. Utah had all five starters finish with double-digit scoring. Enes Kanter, who played only 12 minutes Friday, scored a team-high 18 points. Alec Burks rebounded well from the shooting guard position to record a double-double of 10 points and 10 rebounds. The Jazz return home to face the Oklahoma City Thunder on Tuesday." + }, + { + "from": "human", + "value": "How many rows and columns does this table contain? Output the final answer in the JSON format {\"row_number\": \"m\", \"column_number\": \"n\"}. For instance, if the table has 5 rows and 4 columns, the answer would be {\"row_number\": \"5\", \"column_number\": \"4\"}" + }, + { + "from": "gpt", + "value": "There are 32 rows and 19 columns in the table. So, the final answer is {\"row_number\": \"32\", \"column_number\": \"19\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_5349", + "image": "table_instructV/images/ToTTo_train_table_24179.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Route | Length (mi) | Length (km) | From | Via | To | Notes |\n| --- | --- | --- | --- | --- | --- | --- |\n| CR 601 | 3.95 | 6.36 | US 9 in Middle Township | Avalon Boulevard, 30th Street | Dune Drive in Avalon | |\n| CR 602 | 0.83 | 1.34 | US 9 in Upper Township | Church Road | CR 631 in Upper Township | |\n| CR 603 | 8.18 | 13.16 | CR 626 in Lower Township | Johnathan Hoffman Boulevard, Bayshore Road | Route 47 in Middle Township | |\n| CR 604 | 2.28 | 3.67 | Dead end in West Cape May | Beach Avenue | Wilmington Avenue in Cape May | |\n| CR 605 | 3.37 | 5.42 | CR 550 in Dennis Township | Belleplain Road | CR 548 in Upper Township | |\n| CR 606 | 2.19 | 3.52 | Dead end in Cape May Point | Sunset Boulevard | CR 626 in West Cape May | |\n| CR 607 | 2.04 | 3.28 | CR 606 in West Cape May | Bayshore Road | Dead end along Cape May Canal in Lower Township | |\n| CR 608 | 3.35 | 5.39 | Route 83 in Dennis Township | Kings Highway | CR 550 in Dennis Township | |\n| CR 609 | 1.08 | 1.74 | US 9 in Cape May Court House | Crest Haven Road | Dead end in Middle Township | |\n| CR 610 | 7.77 | 12.50 | Route 47 in Dennis Township | Petersburg Road, Dennisville-Petersburg Road | CR 631 in Upper Township | |\n| CR 611 | 2.93 | 4.72 | Route 47 in Dennis Township | Tyler Road | CR 557 in Woodbine | |\n| CR 612 | 2.88 | 4.63 | Route 47 in Middle Township | Dias Creek Road | CR 615 in Middle Township | |\n| CR 613 | 2.31 | 3.72 | CR 603 in Lower Township | Breakwater Road | CR 626 in Lower Township | |\n| CR 614 | 1.23 | 1.98 | CR 621 in Wildwood | West Glenwood Avenue | Dead end in West Wildwood | |\n| CR 615 | 4.64 | 7.47 | US 9 in Middle Township | Mechanic Street, Goshen Road, Goshen-Swainton Road | Route 47 in Middle Township | |\n| CR 616 | 2.36 | 3.80 | Route 50 in Upper Township | Tyler Road | CR 631 in Upper Township | |\n| CR 617 | 0.23 | 0.37 | CR 557 in Upper Township | Woodbine Road | Route 49 in Upper Township | |\n| CR 618 | 3.17 | 5.10 | Route 47 in Middle Township | Indian Trail Road | US 9/Route 147 in Middle Township | |\n| CR 619 | 19.88 | 31.99 | Route 147 in Middle Township | Ocean Drive, Third Avenue, Landis Avenue, Commonwealth Avenue, Bay Avenue, 55th Street, West Avenue | CR 623 in Ocean City | |\n| CR 619 Spur | 0.10 | 0.16 | CR 619 in Ocean City | 55th Street | Central Avenue in Ocean City | |\n| CR 620 | 2.70 | 4.35 | CR 618 in Middle Township | Shunpike Road | CR 612 in Middle Township | |\n| CR 621 | 7.79 | 12.54 | Route 109 in Lower Township | Ocean Drive, Pacific Avenue, Rambler Road, New Jersey Avenue | Route 147 in North Wildwood | |\n| CR 622 | 1.03 | 1.66 | CR 604 in Cape May | Pittsburgh Avenue, Texas Avenue | Route 109/CR 633 in Cape May | |\n| CR 623 | 2.33 | 3.75 | US 9 in Upper Township | Roosevelt Boulevard, 34th Street | Central Avenue in Ocean City | |\n| CR 624 (1) | 0.58 | 0.93 | Dead end in Lower Township | Old Rio Grande Avenue | Dead end in Lower Township | |\n| CR 624 (2) | 0.14 | 0.23 | Route 47 in Lower Township | West Rio Grande Avenue | Dead end in Lower Township | |\n| CR 625 | 2.78 | 4.47 | US 9 in Dennis Township | Sea Isle Boulevard, JFK Boulevard | CR 619 in Sea Isle City | |\n| CR 626 | 6.77 | 10.90 | CR 604 in West Cape May | Broadway, Seashore Road, Railroad Avenue | Route 47 in Rio Grande | |\n| CR 627 | 0.16 | 0.26 | Dead end in Cape May | Mount Vernon Avenue | CR 626 in Cape May | |\n| CR 628 | 6.75 | 10.86 | Meerwald Road in Dennis Township | School House Road, Dennisville Road, Corsons Tavern Road | US 9 in Upper Township | |\n| CR 629 | 0.75 | 1.21 | CR 651 in Cape May Point | Lighthouse Avenue | CR 606 in Cape May Point | |\n| CR 630 | 0.23 | 0.37 | CR 621 in Lower Township | Fish Dock Road | Dead end in Lower Township | |\n| CR 631 | 5.35 | 8.61 | Route 50 in Upper Township | Tuckahoe Road, Marmora Road | US 9 in Upper Township | |\n| CR 632 | 1.23 | 1.98 | Route 49 in Upper Township | Marshallville Road | Dead end in Upper Township | |\n| CR 633 | 0.34 | 0.55 | CR 626 in West Cape May | Perry Street, Myrtle Street | Route 109 in Cape May | Signage continues north along Route 109 to Lower Township border |\n| CR 634 | 0.55 | 0.89 | US 9 in Middle Township | Rio Grande Avenue | Route 47 in Middle Township | |\n| CR 635 | 0.70 | 1.13 | CR 607 in West Cape May | Fourth Avenue | CR 626 in West Cape May | |\n| CR 636 | 0.19 | 0.31 | CR 619 in Upper Township | Commonwealth Avenue | Seaview Avenue in Upper Township | |\n| CR 637 | 1.75 | 2.82 | US 9 in Upper Township | Butter Road | CR 631 in Upper Township | |\n| CR 638 | 3.51 | 5.65 | CR 610 in Dennis Township | Fidler Road, Webster Street | CR 550/CR 557 in Woodbine | |\n| CR 639 | 2.35 | 3.78 | CR 626 in Lower Township | Academy Road, Fishing Creek Road | CR 603 in Lower Township | |\n| CR 640 | 0.71 | 1.14 | CR 622 in Cape May | Delaware Avenue | Buffalo Avenue in Cape May | |\n| CR 641 | 1.01 | 1.63 | CR 607 in Lower Township | Seashore Road, New England Road | Route 162/CR 626 in Lower Township | |\n| CR 642 | 0.51 | 0.82 | Dead end in Middle Township | Millman Boulevard | CR 603 in Middle Township | |\n| CR 643 | 1.49 | 2.40 | Route 47 in Middle Township | Springers Mill Road | CR 612 in Middle Township | |\n| CR 644 | 2.66 | 4.28 | CR 603 in Lower Township | Shunpike Road | CR 613 in Lower Township | |\n| CR 645 | 0.60 | 0.97 | CR 607 in West Cape May | Stimpson Lane | CR 626 in West Cape May | |\n| CR 646 | 3.43 | 5.52 | CR 615 in Middle Township | Goshen-Swainton Road | US 9 in Middle Township | |\n| CR 647 | 1.12 | 1.80 | CR 639 in Lower Township | Tabernacle Road | CR 626 in Lower Township | |\n| CR 648 | 2.39 | 3.85 | Shore Drive in North Cape May | Town Bank Road | CR 626 in Lower Township | |\n| CR 649 | 1.15 | 1.85 | CR 645 in Lower Township | Shunpike Road | Dead end along Cape May Canal in Lower Township | |\n| CR 650 | 0.30 | 0.48 | Route 47 in Middle Township | William Street | CR 615 in Middle Township | |\n| CR 651 | 1.12 | 1.80 | CR 629 in Cape May Point | Lincoln Avenue, Cape Avenue | CR 606 in Cape May Point | |\n| CR 652 | 0.98 | 1.58 | US 9 in Middle Township | Seigtown Road | CR 646 in Middle Township | |\n| CR 653 | 0.66 | 1.06 | CR 604 in Cape May | Madison Avenue | Route 109/CR 633 in Cape May | |\n| CR 654 | 2.46 | 3.96 | CR 603 in Lower Township | Fulling Mill Road | Route 47 in Middle Township | |\n| CR 655 | 1.00 | 1.61 | Beach Avenue in Middle Township | Reeds Beach Road | Route 47 in Middle Township | |\n| CR 656 | 4.92 | 7.92 | CR 623 in Ocean City | Bay Avenue, Battersea Road, Wesley Road | Atlantic County line on Ocean City-Longport Bridge in Ocean City | |\n| CR 657 | 9.71 | 15.63 | CR 619 in Stone Harbor | Stone Harbor Boulevard, Beaver Dam Road, Court House-Dennisville Road | Route 47 in Dennis Township | |\n| CR 658 | 3.02 | 4.86 | Route 47 in Middle Township | West Hand Avenue | US 9 in Middle Township | |\n| CR 659 | 0.30 | 0.48 | CR 557 in Upper Township | Railroad Avenue | Route 49 in Upper Township | |\n| CR 660 | 0.82 | 1.32 | CR 638 in Woodbine | Fidler Hill Road | CR 550 in Woodbine | |\n| CR 661 | 0.65 | 1.05 | Atlantic Avenue in Wildwood | Rio Grande Avenue | Susquehanna Avenue in Wildwood | Concurrent with Route 47 its entire length |\n| CR 662 | 0.68 | 1.09 | CR 631 in Upper Township | Old Tuckahoe Road | Shore Road in Upper Township | |\n| CR 663 | 0.85 | 1.37 | CR 609 in Middle Township | Moore Road | Dead end in Middle Township | |\n| CR 664 | 3.50 | 5.63 | CR 610 in Woodbine | Tuckahoe-Mt. Pleasant Road | Route 50 in Upper Township | |\n| CR 665 | 0.4 | 0.64 | Route 147 in Middle Township | Old North Wildwood Boulevard | Dead end in Middle Township | |\n| CR 666 | 0.31 | 0.50 | Dead end in Middle Township | Old North Wildwood Boulevard | CR 619 in Middle Township | |\n| CR 667 | 4.37 | 7.03 | CR 671 in Upper Township | Stagecoach Road | CR 662 in Upper Township | |\n| CR 668 | 1.27 | 2.04 | CR 628 in Dennis Township | Main Street | US 9 in Dennis Township | |\n| CR 669 | 0.19 | 0.31 | CR 664 in Upper Township | Marshall Avenue | Route 50 in Upper Township | |\n| CR 671 | 0.76 | 1.22 | Route 50 in Upper Township | Hope Corson Road | US 9 in Upper Township | |" + }, + { + "from": "human", + "value": "Consider the table titled 'List of county routes in Cape May County, New Jersey', with its section title 'County routes in Cape May County'\nFormulate a sentence describing the highlighted cells' content." + }, + { + "from": "gpt", + "value": "New Jersey Route 83 comes to an intersection with County Route 608 at Kings Highway." + } + ] + }, + { + "id": "table_instructV_multi_round_5397", + "image": "table_instructV/images/TABMWP_32122.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $165 | 13,000 | 11,500 |\n| $335 | 11,100 | 12,400 |\n| $505 | 9,200 | 13,300 |\n| $675 | 7,300 | 14,200 |\n| $845 | 5,400 | 15,100 |" + }, + { + "from": "human", + "value": "Give you a table. Please solve the math problem below, showing each step. Finally, your final answer should be in the JSON format of {\"answer\": \"\"}.\n\nLook at the table. Then answer the question. At a price of $335, is there a shortage or a surplus? (A) shortage (B) surplus" + }, + { + "from": "gpt", + "value": "At the price of $335, the quantity demanded is less than the quantity supplied. There is too much of the good or service for sale at that price. So, there is a surplus.\n\n\nThus, the final answer is {\"answer\": \"surplus\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_5400", + "image": "table_instructV/images/Rotowire_train_table_3382.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pistons | Detroit | 115 | 31 | 26 | 31 | 27 | 25 | 54 | 10 | 49 | 71 | 47 | 19 | 16 | | | | |\n| Magic | Orlando | 89 | 23 | 24 | 27 | 15 | 17 | 30 | 8 | 44 | 100 | 30 | 19 | 16 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pistons | | | | | | | | | | | | | | | | | | |\n| Kentavious Caldwell-Pope | 34 | 21 | 6 | 2 | 7-12 | 58% | 5-8 | 63% | 2-2 | 100% | 0 | 2 | 0 | 0 | 6 | 4 | G | Detroit |\n| Andre Drummond | 29 | 17 | 12 | 0 | 8-14 | 57% | 0-0 | 0% | 1-4 | 25% | 1 | 1 | 1 | 6 | 6 | 0 | C | Detroit |\n| Brandon Jennings | 18 | 17 | 1 | 6 | 5-9 | 56% | 3-4 | 75% | 4-6 | 67% | 1 | 0 | 0 | 0 | 1 | 1 | N/A | Detroit |\n| Reggie Jackson | 26 | 14 | 3 | 7 | 6-12 | 50% | 0-2 | 0% | 2-2 | 100% | 0 | 2 | 1 | 1 | 2 | 2 | G | Detroit |\n| Marcus Morris | 30 | 13 | 3 | 1 | 4-7 | 57% | 0-1 | 0% | 5-5 | 100% | 0 | 0 | 0 | 1 | 2 | 2 | F | Detroit |\n| Anthony Tolliver | 20 | 10 | 6 | 1 | 4-8 | 50% | 2-4 | 50% | 0-0 | 0% | 0 | 1 | 1 | 2 | 4 | 1 | N/A | Detroit |\n| Ersan Ilyasova | 28 | 10 | 4 | 1 | 4-10 | 40% | 2-5 | 40% | 0-0 | 0% | 2 | 0 | 0 | 2 | 2 | 1 | F | Detroit |\n| Aron Baynes | 16 | 7 | 10 | 2 | 3-3 | 100% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 2 | 4 | 6 | 2 | N/A | Detroit |\n| Stanley Johnson | 25 | 6 | 7 | 3 | 2-8 | 25% | 2-5 | 40% | 0-0 | 0% | 2 | 1 | 0 | 1 | 6 | 3 | N/A | Detroit |\n| Joel Anthony | 4 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 0 | 1 | N/A | Detroit |\n| Darrun Hilliard | 4 | 0 | 0 | 0 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Detroit |\n| Steve Blake | 4 | 0 | 0 | 1 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Detroit |\n| Reggie Bullock | 4 | 0 | 1 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Detroit |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Victor Oladipo | 35 | 18 | 7 | 5 | 7-11 | 64% | 1-1 | 100% | 3-3 | 100% | 2 | 2 | 0 | 0 | 7 | 3 | G | Orlando |\n| Nikola Vucevic | 24 | 16 | 3 | 3 | 8-15 | 53% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 1 | C | Orlando |\n| Andrew Nicholson | 21 | 14 | 7 | 1 | 6-10 | 60% | 2-3 | 67% | 0-0 | 0% | 0 | 1 | 0 | 1 | 6 | 0 | N/A | Orlando |\n| Jason Smith | 15 | 12 | 1 | 0 | 5-13 | 39% | 0-1 | 0% | 2-2 | 100% | 0 | 0 | 2 | 1 | 0 | 2 | N/A | Orlando |\n| Tobias Harris | 33 | 11 | 3 | 3 | 4-7 | 57% | 1-2 | 50% | 2-2 | 100% | 0 | 1 | 0 | 0 | 3 | 2 | F | Orlando |\n| Shabazz Napier | 27 | 10 | 1 | 2 | 4-12 | 33% | 2-6 | 33% | 0-0 | 0% | 2 | 2 | 0 | 0 | 1 | 3 | N/A | Orlando |\n| Mario Hezonja | 11 | 4 | 0 | 0 | 1-3 | 33% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Orlando |\n| Channing Frye | 14 | 2 | 2 | 0 | 1-3 | 33% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 2 | 0 | 2 | 0 | F | Orlando |\n| Aaron Gordon | 25 | 2 | 3 | 1 | 0-1 | 0% | 0-1 | 0% | 2-2 | 100% | 0 | 0 | 0 | 1 | 2 | 1 | N/A | Orlando |\n| Evan Fournier | 26 | 0 | 2 | 2 | 0-6 | 0% | 0-4 | 0% | 0-0 | 0% | 2 | 1 | 0 | 1 | 1 | 2 | G | Orlando |\n| Dewayne Dedmon | 9 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 3 | 0 | 1 | 1 | N/A | Orlando |\n| Elfrid Payton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |" + }, + { + "from": "human", + "value": "From the data presented in the box-score and line-score tables of the NBA game between Pistons and Magic on 04/01/2016, generate an insightful summary that captures the game's dynamics and key statistics." + }, + { + "from": "gpt", + "value": "The Detroit Pistons (19-17) defeated the Orlando Magic (19-16) 115-89 on Monday night. Despite Detroit winning every quarter, this game was tight until the fourth quarter. The Pistons outscored the Magic 27-15 in the final 12 minutes and made the scoreline look far worse than it actually was. Rebounding has been key for the Pistons all season and that won them the game here, as the snatched down 54 boards to the Magic 's 30. The starters were a key as well, as Detroit 's starters scored 75 points to Orlando 's 47. That now makes Detroit 12-5 at the Palace and they 're becoming one of the best home teams in the NBA. The Magic came into this game with Elfrid Payton injured and it clearly hampered them here. With no other legitimate point guard on the roster, the team had a hard time finding an offensive rhythm in a tough matchup. With that said, Victor Oladipo stepped in as the starting point guard and had one of his best all-around games of the season. He tallied 18 points, seven rebounds, five assists and two steals in the loss. No other starter recorded more than three rebounds or three assists and it was just an ugly performance from Orlando. The Magic will look to bounce back on Wednesday against the Indiana Pacers in their next game. Detroit has been blitzing teams at home all season and they did just that on Monday. What was so great about this win was the performance of Brandon Jennings. This is just Jennings fourth game of the year after suffering a torn Achilles last season and he was spectacular, scoring 17 points and dishing out seven assists in just 18 minutes. It will be interesting to see what Stan Van Gundy does with this rotation with the breakout play of Reggie Jackson and the resurgence of Jennings. All five starters scored in double-figures here, despite having their minutes limited in the blowout. Andre Drummond also put in a 17-point double-double and would have approached yet another 20-20 game if this fixture didn’t get so out of hand late. Detroit 's next game will be on the road on Wednesday against the Boston Celtics." + } + ] + }, + { + "id": "table_instructV_multi_round_5463", + "image": "table_instructV/images/TabFact_2-1123320-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| driver | constructor | laps | time / retired | grid |\n| --- | --- | --- | --- | --- |\n| mika hã¤kkinen | mclaren - mercedes | 69 | 1:38:57.771 | 5 |\n| david coulthard | mclaren - mercedes | 69 | + 1.654 | 6 |\n| jacques villeneuve | williams - renault | 69 | + 1.803 | 1 |\n| gerhard berger | benetton - renault | 69 | + 1.919 | 8 |\n| eddie irvine | ferrari | 69 | + 3.789 | 7 |\n| heinz - harald frentzen | williams - renault | 69 | + 4.537 | 3 |\n| olivier panis | prost - mugen - honda | 69 | + 1:07.145 | 9 |\n| johnny herbert | sauber - petronas | 69 | + 1:12.961 | 14 |\n| jan magnussen | stewart - ford | 69 | + 1:17.487 | 11 |\n| shinji nakano | prost - mugen - honda | 69 | + 1:18.215 | 15 |\n| giancarlo fisichella | jordan - peugeot | 68 | + 1 lap | 17 |\n| mika salo | tyrrell - ford | 68 | + 1 lap | 21 |\n| jean alesi | benetton - renault | 68 | + 1 lap | 10 |\n| norberto fontana | sauber - petronas | 68 | + 1 lap | 18 |\n| tarso marques | minardi - hart | 68 | + 1 lap | 20 |\n| jos verstappen | tyrrell - ford | 68 | + 1 lap | 22 |\n| ukyo katayama | minardi - hart | 68 | + 1 lap | 19 |\n| michael schumacher | ferrari | 47 | collision | 2 |\n| damon hill | arrows - yamaha | 47 | gearbox | 4 |\n| ralf schumacher | jordan - peugeot | 44 | water leak | 16 |\n| rubens barrichello | stewart - ford | 30 | gearbox | 12 |\n| pedro diniz | arrows - yamaha | 11 | spun off | 13 |" + }, + { + "from": "human", + "value": "According to the table information regarding '1997 european grand prix', tell me whether the provided table supports or contradicts the sentence. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nnorberto fontana completed 68 laps , with a grid score of 18" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the sentence is false. Consequently, the answer is {\"answer\": \"contradicts\"}." + }, + { + "from": "human", + "value": "This is a table image titled '1997 european grand prix', help me determine if the table entails or contradicts the following claim. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nnorberto fontana had a grid of 18 with less than 68 laps" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the claim is false. Consequently, the answer is {\"answer\": \"contradicts\"}." + }, + { + "from": "human", + "value": "In this task, you are given a table with its title '1997 european grand prix', your goal is to distinguish whether this table confirms or conflicts with the statement. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nnorberto fontana had a grid of 18" + }, + { + "from": "gpt", + "value": "Based on the table, the statement holds true. Thus, the final answer is {\"answer\": \"confirms\"}." + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following hypothesis is entailed or refuted by the table. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\ntable title:1997 european grand prix\nhypothesis: the driver that had a grid of 22 is jos verstappen" + }, + { + "from": "gpt", + "value": "According to the table, the hypothesis is entailed by the table information. Therefore, the final answer: {\"answer\": \"entailed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_5481", + "image": "table_instructV/images/TabFact_1-1341663-26.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| district | incumbent | party | first elected | result | candidates |\n| --- | --- | --- | --- | --- | --- |\n| missouri 2 | robert a young | democratic | 1976 | re - elected | robert a young (d) 56.4% bob chase (r) 43.6% |\n| missouri 3 | dick gephardt | democratic | 1976 | re - elected | dick gephardt (d) 81.9% lee buchschacher (r) 18.1% |\n| missouri 4 | ike skelton | democratic | 1976 | re - elected | ike skelton (d) 72.8% bill baker (r) 27.2% |\n| missouri 7 | gene taylor | republican | 1972 | re - elected | gene taylor (r) 61.2% jim thomas (d) 38.8% |\n| missouri 9 | harold volkmer | democratic | 1976 | re - elected | harold volkmer (d) 74.7% jerry dent (r) 25.3% |" + }, + { + "from": "human", + "value": "What are the cell's value in the following position in the table?\nthe 5th row and the 2nd column\n\nFormat the cell value as a JSON, using the structure {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"\"}." + }, + { + "from": "gpt", + "value": "The target cell value in the 5th row and the 2nd column is {\"row_id\":\"5\", \"column_id\":\"2\", \"cell_value\":\"gene taylor\"}." + }, + { + "from": "human", + "value": "Examine the table with the given title 'united states house of representatives elections , 1978' and judge whether the statement is entailed or disproved based on the table's content. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nthere are 5 districts from missouri" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the statement is true. So, the answer is {\"answer\": \"entailed\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title 'united states house of representatives elections , 1978', and determine whether the given sentence is confirmed or refuted by the table information. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nsentence: only 1 is from the republican party" + }, + { + "from": "gpt", + "value": "According to the table, the sentence is confirmed by the table information. Therefore, the final answer: {\"answer\": \"confirmed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_5803", + "image": "table_instructV/images/TabFact_2-15767661-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| date | opponent | venue | result | attendance |\n| --- | --- | --- | --- | --- |\n| 10 august 1985 | rangers | a | 0 - 1 | 28870 |\n| 17 august 1985 | aberdeen | h | 1 - 1 | 14339 |\n| 24 august 1985 | dundee | h | 2 - 0 | 13736 |\n| 31 august 1985 | motherwell | a | 1 - 0 | 3327 |\n| 7 september 1985 | clydebank | h | 2 - 1 | 5336 |\n| 14 september 1985 | hearts | a | 0 - 2 | 7617 |\n| 28 september 1985 | st mirren | a | 0 - 1 | 4408 |\n| 5 october 1985 | hibernian | h | 2 - 2 | 6951 |\n| 12 october 1985 | rangers | h | 1 - 1 | 16657 |\n| 19 october 1985 | aberdeen | a | 2 - 3 | 15748 |\n| 26 october 1985 | celtic | a | 3 - 0 | 25976 |\n| 2 november 1985 | hearts | h | 1 - 1 | 10142 |\n| 9 november 1985 | motherwell | h | 3 - 0 | 5493 |\n| 16 november 1985 | dundee | a | 3 - 0 | 11736 |\n| 23 november 1985 | clydebank | a | 2 - 1 | 1839 |\n| 14 december 1985 | rangers | a | 1 - 1 | 16657 |\n| 21 december 1985 | aberdeen | h | 2 - 1 | 9990 |\n| 23 december 1985 | celtic | h | 1 - 0 | 15894 |\n| 28 december 1985 | dundee | h | 0 - 0 | 14869 |\n| 4 january 1986 | celtic | h | 4 - 2 | 16668 |\n| 11 january 1986 | hearts | a | 1 - 1 | 19043 |\n| 18 january 1986 | clydebank | h | 4 - 0 | 6214 |\n| 1 february 1986 | st mirren | a | 1 - 1 | 4221 |\n| 8 february 1986 | hibernian | h | 4 - 0 | 8504 |\n| 22 february 1986 | rangers | h | 1 - 1 | 14644 |\n| 26 february 1986 | hibernian | a | 1 - 0 | 7137 |\n| 11 march 1986 | motherwell | a | 0 - 2 | 2823 |\n| 15 march 1986 | celtic | a | 1 - 1 | 20965 |\n| 22 march 1986 | motherwell | h | 4 - 0 | 5710 |\n| 29 march 1986 | dundee | a | 1 - 0 | 15079 |\n| 8 april 1986 | st mirren | h | 5 - 0 | 6347 |\n| 12 april 1986 | hearts | h | 0 - 3 | 19878 |\n| 16 april 1986 | aberdeen | a | 1 - 0 | 7278 |\n| 19 april 1986 | clydebank | a | 1 - 1 | 1534 |\n| 26 april 1986 | st mirren | h | 1 - 2 | 4986 |\n| 3 may 1986 | hibernian | a | 2 - 1 | 3513 |" + }, + { + "from": "human", + "value": "Examine the table image with the title '1985 - 86 dundee united f.c. season', classify whether the sentence is entailed or opposed based on the table's content and title. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nsentence: 1985 - 86 dundee united fc season , there were 5 points scored in the last 2 games" + }, + { + "from": "gpt", + "value": "According to the table, the sentence is opposed by the table information. Therefore, the final answer: {\"answer\": \"opposed\"}." + }, + { + "from": "human", + "value": "Analyze this table picture about '1985 - 86 dundee united f.c. season' and classify whether the given table confirms or disproves the sentence. The final result should be presented in the JSON format of {\"answer\": \"\"}.\n\nduring the 1985 - 86 dundee united fc season , there were two times as many people at the first game than the second game" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table confirms the validity of the sentence. Therefore, the final answer: {\"answer\": \"confirms\"}." + }, + { + "from": "human", + "value": "Determine the relationship between the table and the statement, classify it as supported or disputed. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nTable title: 1985 - 86 dundee united f.c. season\nstatement: during the 1985 - 86 dundee united fc season , all of the first three games were at home" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the statement is false. So, the answer is {\"answer\": \"disputed\"}." + }, + { + "from": "human", + "value": "This is a table image titled '1985 - 86 dundee united f.c. season', help me determine if the table entails or conflicts with the following hypothesis. Output the final answer as JSON in the format {\"answer\": \"\"}.\nduring the 1985 - 86 dundee united fc season , there were 6 points scored in the last 2 games" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the hypothesis. Consequently, the answer is {\"answer\": \"entails\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_6035", + "image": "table_instructV/images/ToTTo_train_table_30343.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| 1 December 2012 Fourth Round | Celtic | 1 – 1 | Arbroath | Celtic Park |\n| --- | --- | --- | --- | --- |\n| | Keddie 36' (o.g.) | Celtic Report | Doris 87' | Attendance: 15,000 Referee: Craig Charleston |" + }, + { + "from": "human", + "value": "Presented is a Wikipedia table named '2012–13 Celtic F.C. season', which is extracted from a section heading 'Scottish Cup'.\nAs you can see, some table cells are highlighted with a different color. Please generate a one-sentence summary of these cells." + }, + { + "from": "gpt", + "value": "In the 2013 Scottish Cup, Celtic recorded a 1–1 draw at home against Arbroath." + } + ] + }, + { + "id": "table_instructV_multi_round_6152", + "image": "table_instructV/images/TabFact_2-1226756-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| year | chassis | engine | tyres | points |\n| --- | --- | --- | --- | --- |\n| 1987 | dallara 3087 | cosworth v8 | a | 0 |\n| 1988 | dallara 3087 lola t88 / 50 | cosworth v8 | a | 0 |\n| 1989 | lola t89 / 50 | cosworth v8 | a | 7 |\n| 1990 | lola t90 / 50 | cosworth v8 | a | 20 |\n| 1991 | lola t91 / 50 reynard 91d | cosworth v8 | a | 43 |\n| 1992 | reynard 92d | cosworth v8 | a | 44 |\n| 1993 | reynard 93d | cosworth v8 | a | 20 |\n| 1994 | reynard 94d | cosworth v8 | a | 9 |" + }, + { + "from": "human", + "value": "Examine the table with the caption 'forti', classify whether the provided table supports or challenges the hypothesis. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nhypothesis: chassis of dallara 3087 had points less than 20 in 1987" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table supports the validity of the hypothesis. Therefore, the final answer: {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "Presented with a table with the title 'forti', distinguish whether the table entails or refutes the following sentence. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nsentence: the year 1987 had more than 20 points and chassis of dallara 3087" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table refutes the validity of the sentence. Therefore, the final answer: {\"answer\": \"refutes\"}." + }, + { + "from": "human", + "value": "Based on the table titled 'forti' and the subsequent claim, determine if the claim is affirmed or contradicted by the table. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nclaim: points for a year more than 1994 is 7" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the claim is not valid. Hence, the answer is {\"answer\": \"contradicted\"}." + }, + { + "from": "human", + "value": "Examine whether the table entails or refutes the subsequent claim. Show your final answer in the JSON format {\"answer\": \"\"}.\ntable title: 'forti'\nclaim: the points for the years after 1987 are : 0.0 , 7.0 , 20.0 , 43.0 , 44.0 , 20.0 , and 9.0" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table entails the validity of the claim. Therefore, the final answer: {\"answer\": \"entails\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_6177", + "image": "table_instructV/images/TabFact_2-1115680-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| goal | date | score | result | competition |\n| --- | --- | --- | --- | --- |\n| 1 | november 22 , 1994 | 1 - 0 | 3 - 0 | friendly |\n| 2 | december 11 , 1994 | 1 - 1 | 1 - 1 | friendly |\n| 3 | january 21 , 1996 | 3 - 0 | 3 - 0 | 1996 concacaf gold cup |\n| 4 | june 17 , 1997 | 2 - 0 | 2 - 1 | friendly |\n| 5 | february 6 , 1999 | 1 - 0 | 3 - 0 | friendly |\n| 6 | july 24 , 1999 | 2 - 0 | 2 - 1 | friendly |\n| 7 | february 12 , 2000 | 1 - 0 | 3 - 0 | 2000 concacaf gold cup |\n| 8 | march 29 , 2003 | 1 - 0 | 2 - 0 | friendly |\n| 9 | june 8 , 2003 | 2 - 1 | 2 - 1 | friendly |" + }, + { + "from": "human", + "value": "Presented with a table with the title 'jovan kirovski', distinguish whether the table substantiates or conflicts with the following hypothesis. Output the final answer as JSON in the format {\"answer\": \"\"}.\nhypothesis: there was only one match played in march in the table" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it substantiates the hypothesis. Hence, the answer is {\"answer\": \"substantiates\"}." + }, + { + "from": "human", + "value": "According to the table information regarding 'jovan kirovski', tell me whether the provided table upholds or disproves the sentence. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nless than half of the competitions were friendly" + }, + { + "from": "gpt", + "value": "Based on the table, the sentence can not hold true. Thus, the final answer is {\"answer\": \"disproves\"}." + }, + { + "from": "human", + "value": "This is a table image titled 'jovan kirovski', help me determine if the table upholds or conflicts with the following hypothesis. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nonly two competitions listed were not friendly in total" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it upholds the hypothesis. So, the answer is {\"answer\": \"upholds\"}." + }, + { + "from": "human", + "value": "According to the information in the given table regarding 'jovan kirovski', tell me whether the claim is affirmed or disproved by the table. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nthere were more than one matches in 2000 listed" + }, + { + "from": "gpt", + "value": "According to the table, the claim is disproved by the table information. Therefore, the final answer: {\"answer\": \"disproved\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_6256", + "image": "table_instructV/images/TabFact_2-17608945-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| date | time ( gmt ) | serial | apogee | outcome |\n| --- | --- | --- | --- | --- |\n| 1958 - 07 - 19 | 17:36 | 3b | kilometres (mi) | failure |\n| 1958 - 08 - 02 | 22:16 | 4b | kilometres (mi) | success |\n| 1958 - 08 - 29 | 04:30 | 5b | kilometres (mi) | success |\n| 1958 - 09 - 14 | 05:24 | 8b | kilometres (mi) | success |\n| 1958 - 09 - 18 | 21:27 | 6b | kilometres (mi) | failure |\n| 1958 - 11 - 18 | 04:00 | 9b | kilometres (mi) | partial failure |\n| 1958 - 11 - 29 | 02:27 | 12b | kilometres (mi) | success |\n| 1958 - 12 - 18 | 22:02 | 10b | n / a | success |\n| 1959 - 01 - 16 | 04:00 | 13b | kilometres (mi) | failure |\n| 1959 - 02 - 04 | 08:01 | 11b | kilometres (mi) | success |" + }, + { + "from": "human", + "value": "Based on the table titled 'sm - 65b atlas' and the subsequent hypothesis, determine if the hypothesis is confirmed or refuted by the table. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nhypothesis: only one launch occurred in january 1959" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the hypothesis is valid. Hence, the answer is {\"answer\": \"confirmed\"}." + }, + { + "from": "human", + "value": "Examine whether the table confirms or conflicts with the subsequent sentence. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\ntable title: 'sm - 65b atlas'\nsentence: the 1958 - 11 - 18 launch was the only launch with a partial failure outcome" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table confirms the validity of the sentence. Therefore, the final answer: {\"answer\": \"confirms\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_6632", + "image": "table_instructV/images/TabFact_2-17443070-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| res | record | opponent | method | event | round | time |\n| --- | --- | --- | --- | --- | --- | --- |\n| win | 17 - 3 | carlo prater | decision (split) | shine : lightweight grand prix | 3 | 5:00 |\n| loss | 16 - 3 | dave jansen | decision (unanimous) | wec 43 | 3 | 5:00 |\n| win | 16 - 2 | sergio gomez | decision (unanimous) | wec 33 | 3 | 5:00 |\n| loss | 15 - 2 | rob mccullough | tko (punches) | wec 30 | 1 | 1:29 |\n| win | 15 - 1 | mike joy | submission (brabo choke) | wec 25 | 3 | 4:23 |\n| win | 14 - 1 | adam lynn | submission (rear naked choke) | wec 21 | 2 | 1:20 |\n| win | 13 - 1 | nick ertl | tko (strikes) | wec 18 | 2 | 3:55 |\n| win | 12 - 1 | james martinez | tko | freedom fight - canada vs usa | 1 | 3:31 |\n| win | 11 - 1 | paul jenkins | ko | wec 15 | 2 | 2:36 |\n| win | 10 - 1 | peter kaljevic | submission (armbar) | rfc 1 - real fighting championships 1 | 1 | 3:44 |\n| loss | 9 - 1 | hermes frança | decision (unanimous) | ufc 42 | 3 | 5:00 |\n| win | 9 - 0 | víctor estrada | submission (ankle injury) | wec 5 | 1 | 1:13 |\n| win | 8 - 0 | luciano oliveira | submission (armbar) | wec 4 | 1 | 1:55 |\n| win | 7 - 0 | cruz gomez | tko | wec 3 | 1 | 3:04 |\n| win | 6 - 0 | bao quach | ko | ua 2 - the gathering | 2 | 1:20 |\n| win | 5 - 0 | aaron jerome | tko | ritr - rumble in the rockies | 1 | 1:00 |\n| win | 4 - 0 | eric hibler | decision | rsf 1 - redemption in the valley | 3 | 4:00 |\n| win | 3 - 0 | scott johnson | submission (knee bar) | wvf - battlejax | 1 | 5:19 |\n| win | 2 - 0 | robert irizarry | decision (unanimous) | wef - new blood conflict | 3 | 3:00 |\n| win | 1 - 0 | ray totorico | tko (strikes) | wef 7 - stomp in the swamp | 2 | 2:24 |" + }, + { + "from": "human", + "value": "According to the information in the given table regarding 'richard crunkilton', tell me whether the sentence is affirmed or challenged by the table. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nbao quach used the ko method and had a 6 - 0 record" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the sentence. Hence, the answer is {\"answer\": \"affirmed\"}." + }, + { + "from": "human", + "value": "According to the table information regarding 'richard crunkilton', tell me whether the provided table upholds or opposes the sentence. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nthe entry with a record of 2 - 0 has a time of 3:00" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it upholds the sentence. Hence, the answer is {\"answer\": \"upholds\"}." + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following statement is upheld or opposed by the table. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\ntable title:richard crunkilton\nstatement: bao quach used the ko method and had a 5 - 0 record" + }, + { + "from": "gpt", + "value": "By using the table as supporting evidence, it is evident that the statement is incorrect. Consequently, the answer is {\"answer\": \"opposed\"}." + }, + { + "from": "human", + "value": "Determine the relationship between the table and the statement, classify it as supported or challenged. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nTable title: richard crunkilton\nstatement: at 3:00 the record is 1 - 0" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the statement is false. So, the answer is {\"answer\": \"challenged\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_6645", + "image": "table_instructV/images/TABMWP_2625.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 2 | 18 |\n| 3 | 10 |\n| 4 | 2 |" + }, + { + "from": "human", + "value": "Please solve the problem based on the given image. Conclude your response with a final answer in the JSON format {\"answer\": \"\"}.\nProblem: The table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear\nYour Solution:" + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{10 - 18}{3 - 2}\n = \\frac{-8}{1}\n = -8\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the second row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{2 - 10}{4 - 3}\n = \\frac{-8}{1}\n = -8\nThe two rates of change are the same.\n8.\nThis means the rate of change is the same for each pair of points. So, the function has a constant rate of change.\nThe function is linear.\n\nThus, the final answer is {\"answer\": \"linear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_6687", + "image": "table_instructV/images/Rotowire_train_table_37.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Cavaliers | Cleveland | 115 | 33 | 25 | 31 | 18 | 25 | 47 | 18 | 50 | 55 | 38 | 30 | 12 | | | | |\n| Spurs | San Antonio | 118 | 22 | 35 | 27 | 23 | 32 | 46 | 13 | 50 | 86 | 39 | 34 | 9 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Cavaliers | | | | | | | | | | | | | | | | | | |\n| LeBron James | 45 | 29 | 6 | 7 | 11-16 | 69% | 2-5 | 40% | 5-7 | 71% | 2 | 7 | 0 | 0 | 6 | 5 | F | Cleveland |\n| Kyrie Irving | 41 | 29 | 3 | 9 | 13-22 | 59% | 3-8 | 38% | 0-1 | 0% | 2 | 2 | 0 | 1 | 2 | 2 | G | Cleveland |\n| Tristan Thompson | 39 | 14 | 12 | 1 | 7-13 | 54% | 0-0 | 0% | 0-4 | 0% | 0 | 1 | 1 | 5 | 7 | 2 | C | Cleveland |\n| Kevin Love | 36 | 13 | 11 | 3 | 4-15 | 27% | 3-11 | 27% | 2-3 | 67% | 0 | 3 | 0 | 1 | 10 | 3 | F | Cleveland |\n| Iman Shumpert | 38 | 11 | 3 | 2 | 4-8 | 50% | 3-5 | 60% | 0-0 | 0% | 2 | 1 | 0 | 1 | 2 | 1 | G | Cleveland |\n| Channing Frye | 17 | 8 | 4 | 0 | 2-8 | 25% | 0-2 | 0% | 4-5 | 80% | 0 | 1 | 0 | 1 | 3 | 0 | N/A | Cleveland |\n| Kyle Korver | 22 | 6 | 2 | 0 | 2-3 | 67% | 2-3 | 67% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | Cleveland |\n| DeAndre Liggins | 12 | 5 | 1 | 1 | 2-4 | 50% | 0-0 | 0% | 1-2 | 50% | 1 | 0 | 0 | 0 | 1 | 1 | N/A | Cleveland |\n| Richard Jefferson | 16 | 0 | 5 | 2 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 0 | 1 | 4 | 2 | N/A | Cleveland |\n| Jordan McRae | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Kay Felder | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| James Jones | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Kawhi Leonard | 46 | 41 | 6 | 5 | 15-30 | 50% | 3-8 | 38% | 8-8 | 100% | 1 | 6 | 1 | 0 | 6 | 3 | F | San Antonio |\n| LaMarcus Aldridge | 42 | 16 | 12 | 6 | 7-14 | 50% | 0-0 | 0% | 2-4 | 50% | 0 | 1 | 2 | 4 | 8 | 2 | F | San Antonio |\n| David Lee | 36 | 14 | 11 | 3 | 7-11 | 64% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 3 | 8 | 3 | C | San Antonio |\n| Dejounte Murray | 22 | 14 | 2 | 5 | 7-10 | 70% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 0 | G | San Antonio |\n| Patty Mills | 31 | 13 | 3 | 5 | 4-11 | 36% | 3-5 | 60% | 2-2 | 100% | 1 | 2 | 0 | 2 | 1 | 2 | N/A | San Antonio |\n| Manu Ginobili | 20 | 8 | 2 | 3 | 3-9 | 33% | 2-6 | 33% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 4 | N/A | San Antonio |\n| Danny Green | 32 | 6 | 2 | 2 | 2-5 | 40% | 2-5 | 40% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 4 | G | San Antonio |\n| Dewayne Dedmon | 10 | 2 | 4 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 4 | 1 | N/A | San Antonio |\n| Kyle Anderson | 18 | 2 | 4 | 2 | 1-3 | 33% | 0-2 | 0% | 0-0 | 0% | 4 | 0 | 2 | 0 | 4 | 2 | N/A | San Antonio |\n| Jonathon Simmons | 8 | 2 | 0 | 1 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | San Antonio |\n| Bryn Forbes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Davis Bertans | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Tony Parker | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |" + }, + { + "from": "human", + "value": "Examine the data records in this picture, which depict an NBA game held on 21/01/2017. Use these data statistics to generate a comprehensive summary of the game." + }, + { + "from": "gpt", + "value": "In this Finals rematch from nearly a decade ago, these two teams showed why they 're still Finals contenders. This overtime thriller was close throughout, as there were 13 ties and 15 lead changes, with neither team leading by more than 11 points. Free-throws killed the Cavs, as they made the same amount of free-throws as the Spurs, but took eight more attempts. They also dominated the assist-to-turnover ratio, with San Antonio recording seven more assists and five less turnovers. Kawhi Leonard was the player of the game, dropping a career-high 41 points in the win. He also added six rebounds and five assists. LaMarcus Aldridge and David Lee both recorded double-doubles for the Spurs in the frontcourt. LeBron James and Kyrie Irving tied the team-lead for Cleveland, scoring 29 points a piece. James added six rebounds and seven assists, while irving provided three rebounds and nine assists." + }, + { + "from": "human", + "value": "Watch this table and show a latex-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|}\n\\hline\n TEAM-NAME & CITY & PTS & PTS\\_QTR1 & PTS\\_QTR2 & PTS\\_QTR3 & PTS\\_QTR4 & AST & REB & TOV & FG\\_PCT & FT\\_PCT & FG3\\_PCT & WINS & LOSSES & & & & \\\\\n\\hline\n Cavaliers & Cleveland & 115 & 33 & 25 & 31 & 18 & 25 & 47 & 18 & 50 & 55 & 38 & 30 & 12 & & & & \\\\\n\\hline\n Spurs & San Antonio & 118 & 22 & 35 & 27 & 23 & 32 & 46 & 13 & 50 & 86 & 39 & 34 & 9 & & & & \\\\\n\\hline\n & & & & & & & & & & & & & & & & & & \\\\\n\\hline\n PLAYER\\_NAME & MIN & PTS & REB & AST & FG & FG\\_PCT & FG3 & FG3\\_PCT & FT & FT\\_PCT & STL & TO & BLK & OREB & DREB & PF & START\\_POSITION & TEAM\\_CITY \\\\\n\\hline\n Cavaliers & & & & & & & & & & & & & & & & & & \\\\\n\\hline\n LeBron James & 45 & 29 & 6 & 7 & 11-16 & 69\\% & 2-5 & 40\\% & 5-7 & 71\\% & 2 & 7 & 0 & 0 & 6 & 5 & F & Cleveland \\\\\n\\hline\n Kyrie Irving & 41 & 29 & 3 & 9 & 13-22 & 59\\% & 3-8 & 38\\% & 0-1 & 0\\% & 2 & 2 & 0 & 1 & 2 & 2 & G & Cleveland \\\\\n\\hline\n Tristan Thompson & 39 & 14 & 12 & 1 & 7-13 & 54\\% & 0-0 & 0\\% & 0-4 & 0\\% & 0 & 1 & 1 & 5 & 7 & 2 & C & Cleveland \\\\\n\\hline\n Kevin Love & 36 & 13 & 11 & 3 & 4-15 & 27\\% & 3-11 & 27\\% & 2-3 & 67\\% & 0 & 3 & 0 & 1 & 10 & 3 & F & Cleveland \\\\\n\\hline\n Iman Shumpert & 38 & 11 & 3 & 2 & 4-8 & 50\\% & 3-5 & 60\\% & 0-0 & 0\\% & 2 & 1 & 0 & 1 & 2 & 1 & G & Cleveland \\\\\n\\hline\n Channing Frye & 17 & 8 & 4 & 0 & 2-8 & 25\\% & 0-2 & 0\\% & 4-5 & 80\\% & 0 & 1 & 0 & 1 & 3 & 0 & N/A & Cleveland \\\\\n\\hline\n Kyle Korver & 22 & 6 & 2 & 0 & 2-3 & 67\\% & 2-3 & 67\\% & 0-0 & 0\\% & 0 & 0 & 0 & 1 & 1 & 0 & N/A & Cleveland \\\\\n\\hline\n DeAndre Liggins & 12 & 5 & 1 & 1 & 2-4 & 50\\% & 0-0 & 0\\% & 1-2 & 50\\% & 1 & 0 & 0 & 0 & 1 & 1 & N/A & Cleveland \\\\\n\\hline\n Richard Jefferson & 16 & 0 & 5 & 2 & 0-2 & 0\\% & 0-0 & 0\\% & 0-0 & 0\\% & 0 & 3 & 0 & 1 & 4 & 2 & N/A & Cleveland \\\\\n\\hline\n Jordan McRae & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Cleveland \\\\\n\\hline\n Kay Felder & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Cleveland \\\\\n\\hline\n James Jones & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Cleveland \\\\\n\\hline\n Spurs & & & & & & & & & & & & & & & & & & \\\\\n\\hline\n Kawhi Leonard & 46 & 41 & 6 & 5 & 15-30 & 50\\% & 3-8 & 38\\% & 8-8 & 100\\% & 1 & 6 & 1 & 0 & 6 & 3 & F & San Antonio \\\\\n\\hline\n LaMarcus Aldridge & 42 & 16 & 12 & 6 & 7-14 & 50\\% & 0-0 & 0\\% & 2-4 & 50\\% & 0 & 1 & 2 & 4 & 8 & 2 & F & San Antonio \\\\\n\\hline\n David Lee & 36 & 14 & 11 & 3 & 7-11 & 64\\% & 0-0 & 0\\% & 0-0 & 0\\% & 0 & 1 & 1 & 3 & 8 & 3 & C & San Antonio \\\\\n\\hline\n Dejounte Murray & 22 & 14 & 2 & 5 & 7-10 & 70\\% & 0-0 & 0\\% & 0-0 & 0\\% & 0 & 2 & 0 & 0 & 2 & 0 & G & San Antonio \\\\\n\\hline\n Patty Mills & 31 & 13 & 3 & 5 & 4-11 & 36\\% & 3-5 & 60\\% & 2-2 & 100\\% & 1 & 2 & 0 & 2 & 1 & 2 & N/A & San Antonio \\\\\n\\hline\n Manu Ginobili & 20 & 8 & 2 & 3 & 3-9 & 33\\% & 2-6 & 33\\% & 0-0 & 0\\% & 0 & 1 & 0 & 1 & 1 & 4 & N/A & San Antonio \\\\\n\\hline\n Danny Green & 32 & 6 & 2 & 2 & 2-5 & 40\\% & 2-5 & 40\\% & 0-0 & 0\\% & 0 & 0 & 0 & 0 & 2 & 4 & G & San Antonio \\\\\n\\hline\n Dewayne Dedmon & 10 & 2 & 4 & 0 & 1-2 & 50\\% & 0-0 & 0\\% & 0-0 & 0\\% & 0 & 0 & 0 & 0 & 4 & 1 & N/A & San Antonio \\\\\n\\hline\n Kyle Anderson & 18 & 2 & 4 & 2 & 1-3 & 33\\% & 0-2 & 0\\% & 0-0 & 0\\% & 4 & 0 & 2 & 0 & 4 & 2 & N/A & San Antonio \\\\\n\\hline\n Jonathon Simmons & 8 & 2 & 0 & 1 & 1-1 & 100\\% & 0-0 & 0\\% & 0-0 & 0\\% & 0 & 0 & 0 & 0 & 0 & 1 & N/A & San Antonio \\\\\n\\hline\n Bryn Forbes & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & San Antonio \\\\\n\\hline\n Davis Bertans & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & San Antonio \\\\\n\\hline\n Tony Parker & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & San Antonio \\\\\n\\hline\n\\end{tabular}" + } + ] + }, + { + "id": "table_instructV_multi_round_6717", + "image": "table_instructV/images/TABMWP_35209.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Option | Change in phone price |\n| --- | --- |\n| Add an upgrade | $60 |\n| Buy a used phone | -$75 |" + }, + { + "from": "human", + "value": "Solve this problem according to the provided picture in a step-wise manner. Conclude your response with a final answer in the JSON format {\"answer\": \"\"}.\nIsabelle is looking at the price of new cell phones online. Her favorite company, OrangeTech, has a special this weekend. Isabelle can add an upgrade to a phone for an additional cost, or she can buy a used phone to get a discount. The change in price for each option is shown in the table. Which option results in a greater change in price? (A) adding an upgrade (B) buying a used phone" + }, + { + "from": "gpt", + "value": "To find the option that results in a greater change in price, use absolute value. Absolute value tells you how much the price changes.\nAdd an upgrade: |$60| = $60\nBuy a used phone: |-$75| = $75\nBuying a used phone results in a greater change in price. It reduces the price by $75.\n\nThus, the final answer is {\"answer\": \"buying a used phone\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_6784", + "image": "table_instructV/images/TabFact_2-10689293-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | september 3 , 1995 | green bay packers | w 17 - 14 | 60104 |\n| 2 | september 10 , 1995 | new orleans saints | w 17 - 13 | 59335 |\n| 3 | september 17 , 1995 | carolina panthers | w 31 - 10 | 54060 |\n| 4 | september 24 , 1995 | chicago bears | w 34 - 28 | 59679 |\n| 5 | october 1 , 1995 | indianapolis colts | l 21 - 18 | 58616 |\n| 7 | october 12 , 1995 | atlanta falcons | w 21 - 19 | 59700 |\n| 8 | october 22 , 1995 | san francisco 49ers | l 44 - 10 | 59915 |\n| 9 | october 29 , 1995 | philadelphia eagles | l 20 - 9 | 62172 |\n| 10 | november 5 , 1995 | new orleans saints | l 19 - 10 | 43120 |\n| 11 | november 12 , 1995 | carolina panthers | w 28 - 17 | 65598 |\n| 12 | november 19 , 1995 | atlanta falcons | l 31 - 6 | 46309 |\n| 13 | november 26 , 1995 | san francisco 49ers | l 41 - 13 | 66049 |\n| 14 | december 3 , 1995 | new york jets | w 23 - 20 | 52023 |\n| 15 | december 10 , 1995 | buffalo bills | l 45 - 27 | 64623 |\n| 16 | december 17 , 1995 | washington redskins | l 35 - 23 | 63760 |\n| 17 | december 24 , 1995 | miami dolphins | l 41 - 22 | 63876 |" + }, + { + "from": "human", + "value": "Give you a table picture about '1995 st. louis rams season', determine whether the following statement is affirmed or challenged by the table's content. Show your final answer in the JSON format {\"answer\": \"\"}.\n\nthe st louis rams played the carolina panthers two more times than they played the buffalo bills during their 1995 season" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the statement is false. So, the answer is {\"answer\": \"challenged\"}." + }, + { + "from": "human", + "value": "Give you a table titled '1995 st. louis rams season' and a claim which is 'the st louis rams lost ten games by more than seven points during their 1995 season', select the correct relation between the table and the claim based on the table information. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\n\n(A) substantiates (the claim is true)\n(B) conflicts with (the claim is false)" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it conflicts with the claim. Hence, the answer is {\"answer\": \"conflicts with\"}." + }, + { + "from": "human", + "value": "This is a table named '1995 st. louis rams season', please determine whether the given sentence is affirmed or contradicted by the table information. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nthe st louis rams played four games during the month of december during their 1995 season" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the sentence. Hence, the answer is {\"answer\": \"affirmed\"}." + }, + { + "from": "human", + "value": "Determine the relationship between the table named '1995 st. louis rams season' and the claim. Whether the table supports or challenges the given claim? Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nclaim: the st louis rams won seven games during their 1995 season" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it supports the claim. So, the answer is {\"answer\": \"supports\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_6799", + "image": "table_instructV/images/TabFact_1-16799784-12.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| name | latitude | longitude | diameter (km) | year named | name origin |\n| --- | --- | --- | --- | --- | --- |\n| alpan fluctus | 7.5s | 349.0e | 500.0 | 1997 | lezghin (daghestan) fire goddess |\n| argimpasa fluctus | 0.0n | 175.5e | 950.0 | 1997 | scythian goddess of love |\n| arubani fluctus | 55.0s | 132.0e | 620.0 | 1997 | urartu supreme goddess |\n| bolotnitsa fluctus | 50.0n | 160.0e | 1100.0 | 1997 | e slavic swamp mermaid |\n| darago fluctus | 11.5s | 313.5e | 775.0 | 1994 | philippine volcano goddess |\n| djabran fluctus | 43.5s | 183.0e | 300.0 | 1997 | abkhazian goddess of goats |\n| djata fluctus | 66.5n | 307.5e | 280.0 | 1997 | ngadju (kalimantan isl , indonesia) water goddess |\n| dotetem fluctus | 6.0s | 177.5e | 530.0 | 1997 | ketian (yenisey r) evil spirit |\n| eriu fluctus | 37.0s | 357.0e | 600.0 | 1991 | irish earth mother |\n| heloha fluctus | 77.0 n | 344.0 e | 375.0 | 2009 | chocktaw thunderbird |\n| henwen fluctus | 20.5s | 179.9e | 485.0 | 1994 | british celtic sow - goddess |\n| hikuleo fluctus | 52.5n | 208.0e | 600.0 | 1997 | tonga (polynesia) underworld goddess |\n| ilaheva fluctus | 42.5s | 84.0e | 900.0 | 2000 | tonga (polynesia) worm goddess |\n| itoki fluctus | 6.0s | 229.0e | 900.0 | 2003 | nicaraguan goddess of insects , stars , and planets |\n| kaapaau fluctus | 66.5s | 181.0e | 350.0 | 2000 | polynesian goddess of sharks |\n| kaiwan fluctus | 45.5s | 358.0e | 1200.0 | 1991 | ethiopian earth mother |\n| koti fluctus | 12.5n | 318.0e | 400.0 | 1997 | creek (se usa) water - frog , helpful spirit |\n| mamapacha fluctus | 60.0n | 185.0e | 900.0 | 1997 | inca earthquake goddess |\n| medb fluctus | 56.0s | 127.0e | 350.0 | 1997 | irish mother of gods , wife of ailil |\n| merisa fluctus | 20.5n | 9.0e | 630.0 | 2000 | adygan (n caucasus) beekeeping goddess |\n| mert fluctus | 50.5s | 230.5e | 250.0 | 2000 | egyptian goddess of music and singing |\n| mylitta fluctus | 54.0s | 355.5e | 1250.0 | 1991 | semitic mother goddess |\n| nambubi fluctus | 61.0s | 135.0e | 850.0 | 1997 | ganda goddess , mother of god mukasa |\n| naunet fluctus | 81.0s | 136.0e | 200.0 | 2000 | ancient egyptian (heliopolis) sky goddess |\n| neago fluctu - s | 49.3n | 351.0e | 0.0 | 1991 | seneca (usa) goddess of silence |\n| nekhebet fluctus | 0.0n | 35.0e | 400.0 | 1997 | egyptian vulture goddess |\n| ney - anki fluctus | 37.0s | 105.0e | 950.0 | 2000 | khanty (ob river ugra) mother of fire |\n| ningyo fluctus | 5.5s | 206.0e | 970.0 | 1994 | japanese fish goddess |\n| oilule fluctus | 22.0s | 79.0e | 900.0 | 2000 | west bulgarian wife of thunder god |\n| ovda fluctus | 6.1s | 95.5e | 310.0 | 1994 | named from regio where feature is located |\n| praurime fluctus | 16.0n | 154.0e | 750.0 | 1997 | lithuanian fire goddess |\n| rafara fluctus | 65.0s | 159.0e | 700.0 | 1997 | malagasy (madagascar) water goddess |\n| sicasica fluctus | 52.0s | 180.4e | 175.0 | 1994 | aymara (bolivia) mountain goddess |\n| sonmunde fluctus | 60.0s | 120.0e | 400.0 | 1997 | korean mountain goddess |\n| strenia fluctus | 41.0n | 250.0e | 490.0 | 1997 | roman goddess of new year festivities |\n| syvne fluctus | 36.0s | 72.0e | 900.0 | 2000 | nenets (samoyed) winter maiden |\n| tie fluctus | 21.0n | 159.0e | 550.0 | 2003 | egyptian goddess of intelligence and wisdom |\n| tsunghi fluctus | 67.0s | 130.0e | 800.0 | 1997 | hibaro (ecuador) water goddess |\n| turgmam fluctus | 56.0n | 220.0e | 500.0 | 1997 | nivkhi (sakhalin isl) fire mistress |\n| ubastet fluctus | 48.0s | 27.0e | 550.0 | 1997 | egyptian cat goddess |\n| uilata fluctus | 17.0n | 314.0e | 700.0 | 1997 | cherokee stone - clad female monster |\n| uzume fluctus | 28.6n | 220.3e | 700.0 | 1997 | japanese goddess of cheerfulness |\n| vut - ami fluctus | 38.0s | 67.0e | 1300.0 | 2000 | chuvash (volga region) fire goddess |\n| yagami fluctus | 80.6s | 152.0e | 260.0 | 2000 | japanese goddess , bride of god o - kuninusi |" + }, + { + "from": "human", + "value": "This is a table image titled 'list of geological features on venus', help me determine if the table entails or conflicts with the following statement. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nnekhebet fluctus was named before heloha fluctus" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it entails the statement. Hence, the answer is {\"answer\": \"entails\"}." + }, + { + "from": "human", + "value": "Examine the table titled 'list of geological features on venus' and judge whether the table confirms or disproves the following sentence. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nalpan fluctus was named before vut - ami fluctus" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it confirms the sentence. So, the answer is {\"answer\": \"confirms\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_6879", + "image": "table_instructV/images/TabFact_2-10783853-13.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| home team | home team score | away team | away team score | venue | crowd | date |\n| --- | --- | --- | --- | --- | --- | --- |\n| richmond | 9.10 (64) | south melbourne | 20.10 (130) | punt road oval | 15000 | 3 august 1963 |\n| hawthorn | 13.6 (84) | melbourne | 8.14 (62) | glenferrie oval | 34000 | 3 august 1963 |\n| fitzroy | 7.7 (49) | footscray | 10.20 (80) | brunswick street oval | 13892 | 3 august 1963 |\n| geelong | 14.15 (99) | essendon | 9.8 (62) | kardinia park | 40885 | 3 august 1963 |\n| north melbourne | 9.17 (71) | collingwood | 8.10 (58) | arden street oval | 16083 | 3 august 1963 |\n| st kilda | 14.12 (96) | carlton | 7.13 (55) | junction oval | 30100 | 3 august 1963 |" + }, + { + "from": "human", + "value": "According to the table information regarding '1963 vfl season', tell me whether the provided table substantiates or contradicts the statement. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nthe total crowd attendance in six matches was 149960 during the 1963 vfl season" + }, + { + "from": "gpt", + "value": "Based on the table, the statement holds true. Thus, the final answer is {\"answer\": \"substantiates\"}." + }, + { + "from": "human", + "value": "Examine whether the table substantiates or conflicts with the subsequent claim. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\ntable title: '1963 vfl season'\nclaim: the total home team scores in six matches was 463 and total attendance was 155675 during the 1963 vfl season" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the claim is false. Consequently, the answer is {\"answer\": \"conflicts with\"}." + }, + { + "from": "human", + "value": "Examine whether the table upholds or disproves the subsequent claim. Output the final answer as JSON in the format {\"answer\": \"\"}.\ntable title: '1963 vfl season'\nclaim: all six matches were played on 3 august 1963 , in six different venues , with a home team average score of 51" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it disproves the claim. So, the answer is {\"answer\": \"disproves\"}." + }, + { + "from": "human", + "value": "This is a table image titled '1963 vfl season', help me determine if the table upholds or disputes the following sentence. Show your final answer in the JSON format {\"answer\": \"\"}.\nthe total home team scores in six matches was 463 during the 1963 vfl season" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the sentence. Consequently, the answer is {\"answer\": \"upholds\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_6986", + "image": "table_instructV/images/ToTTo_train_table_25581.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Year | 1990 | 1995 | 2005 | 2008 | 2014 |\n| --- | --- | --- | --- | --- | --- |\n| Undernourished people in the world (millions) | 843 | 788 | 848 | 923 | 795 |" + }, + { + "from": "human", + "value": "Based on the table named 'Epidemiology of malnutrition', can you provide a concise sentence summarizing the data in the highlighted cells?" + }, + { + "from": "gpt", + "value": "There were 795 million undernourished people in the world in 2014." + } + ] + }, + { + "id": "table_instructV_multi_round_7065", + "image": "table_instructV/images/TabFact_2-1122050-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| driver | constructor | laps | time / retired | grid |\n| --- | --- | --- | --- | --- |\n| luigi fagioli juan manuel fangio | alfa romeo | 77 | 3:22:11.0 | 7 |\n| josé froilán gonzález alberto ascari | ferrari | 77 | + 58.2 | 6 |\n| luigi villoresi | ferrari | 74 | + 3 laps | 4 |\n| reg parnell | ferrari | 73 | + 4 laps | 9 |\n| nino farina | alfa romeo | 73 | + 4 laps | 2 |\n| louis chiron | talbot - lago - talbot | 71 | + 6 laps | 8 |\n| yves giraud - cabantous | talbot - lago - talbot | 71 | + 6 laps | 11 |\n| eugène chaboud | talbot - lago - talbot | 69 | + 8 laps | 14 |\n| guy mairesse | talbot - lago - talbot | 66 | + 11 laps | 19 |\n| consalvo sanesi | alfa romeo | 58 | + 19 laps | 5 |\n| juan manuel fangio luigi fagioli | alfa romeo | 55 | + 22 laps | 1 |\n| johnny claes | talbot - lago - talbot | 54 | accident | 12 |\n| louis rosier | talbot - lago - talbot | 43 | transmission | 13 |\n| philippe étancelin | talbot - lago - talbot | 37 | engine | 10 |\n| aldo gordini | simca - gordini | 27 | engine | 17 |\n| harry schell | maserati | 23 | overheating | 22 |\n| maurice trintignant | simca - gordini | 11 | engine | 18 |\n| alberto ascari | ferrari | 10 | gearbox | 3 |\n| andré simon | simca - gordini | 7 | engine | 21 |\n| robert manzon | simca - gordini | 3 | engine | 23 |\n| onofre marimón | maserati - milano | 2 | engine | 15 |\n| toulo de graffenried | maserati | 1 | transmission | 16 |\n| peter whitehead | ferrari | 1 | engine | 20 |" + }, + { + "from": "human", + "value": "Determine the relationship between the table named '1951 french grand prix' and the statement. Whether the table entails or refutes the given statement? Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nstatement: seven drivers could not complete the race due to engine problems" + }, + { + "from": "gpt", + "value": "Based on the table, the statement holds true. Thus, the final answer is {\"answer\": \"entails\"}." + }, + { + "from": "human", + "value": "Presented with a table with the title '1951 french grand prix', distinguish whether the table substantiates or conflicts with the following statement. Output the final answer as JSON in the format {\"answer\": \"\"}.\nstatement: eight drivers could not complete the race due to engine problems" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table conflicts with the validity of the statement. Therefore, the final answer: {\"answer\": \"conflicts with\"}." + }, + { + "from": "human", + "value": "Analyze this table picture about '1951 french grand prix' and classify whether the given table upholds or disputes the statement. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\n\nluigi villoresi finished the race one lap faster than reg parnell" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the statement. Consequently, the answer is {\"answer\": \"upholds\"}." + }, + { + "from": "human", + "value": "Examine whether the subsequent claim is affirmed or contradicted by the given table titled '1951 french grand prix'. The final result should be presented in the JSON format of {\"answer\": \"\"}.\ntalbot - lago - talbot had the highest amount of cars participating in the 1851 french grand prix" + }, + { + "from": "gpt", + "value": "Based on the evidence presented in the table, we can conclude that the claim is not true. Therefore, the answer is {\"answer\": \"contradicted\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_7074", + "image": "table_instructV/images/ToTTo_train_table_25778.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 1957 | The Green-Eyed Blonde | Phyllis (\"Greeneyes\") | |\n| 1957 | The Kaiser Aluminum Hour | Kay | Episode: \"So Short a Season\" |\n| 1957 | Crossroads | Connie Willis | Episode: \"9:30 Action\" |\n| 1957 | Wagon Train | Judy Rossiter | Episode: \"The Emily Rossiter Story\" |\n| 1958 | Father Knows Best | Cousin Millie | Episode: \"Country Cousin\" |\n| 1958 | Kraft Television Theatre | Pamela | Episode: \"The Woman at High Hollow\" |\n| 1958 | Suspicion | Rosemary Russell | Episode: \"The Woman Turned to Salt\" |\n| 1959 | Trackdown | Rebecca Ford | Episode: \"Blind Alley\" |\n| 1959 | Alcoa Theatre | Bernice Davis | Episode: \"The Long House on Avenue A\" |\n| 1959 | The Gene Krupa Story | Dorissa Dinell | |\n| 1960 | BUtterfield 8 | Norma | |\n| 1960 | Wanted: Dead or alive | Bess | Episode: \"The Pariah\" |\n| 1960 | The Untouchables | Roxie Plumber | Episode: \"The Organization\" |\n| 1960 | Bonanza | Leta Malvet | Episode: \"The Outcast\" |\n| 1960 | Wagon Train | Maggie Hamilton | Episode: \"The Maggie Hamilton Story\" |\n| 1960 | The Twilight Zone | Teenya | Episode: \"People Are Alike All Over\" |\n| 1960 | Dick Powell's Zane Grey Theatre | Susan Pittman | Episode: \"Knife of Hate\" |\n| 1961 | Naked City | as Jessica | Episode: \"A memory of Crying\" |\n| 1961 | The Aquanauts | Laura West | Episode: \"Stormy Weather\" |\n| 1961 | Rawhide | Laurie Evans | Episode: \"Incident of His Brother's Keeper\" |\n| 1961 | The Adventures of Ozzie and Harriet | Lori | Episode: \"Rick, the Milkman\" |\n| 1961 | Route 66 | Joan Maslow | Episode: \"Welcome to Amity\" |\n| 1961 | Dick Powell's Zane Grey Theatre | Hannah Smith | Episode: \"Image of a Drawn Sword\" |\n| 1961 | Thriller | Edith Landers | Episode: \"Choose a Victim\" |\n| 1962 | Route 66 | Claire/Chris | Episode: \"Between Hello and Goodbye\" |\n| 1962 | Laramie | Jean Lavelle | Episode: \"Shadows in the Dust\" |\n| 1962 | Cain's Hundred | Kitty | Episode: \"The Cost of Living\" |\n| 1962 | The Alfred Hitchcock Hour | Annabel Delaney | Episode: \"Annabel\" |\n| 1963 | Rawhide | Judy Hall | Episode: \"Incident at Spider Rock\" |\n| 1963 | Wagon Train | Lily | Episode: \"The Lily Legend Story\" |\n| 1963 | 77 Sunset Strip | Kristine Seaver | Episode: \"Your Fortune for a Penny\" |\n| 1963 | The Caretakers | Nurse Cathy Clark | |\n| 1963 | The Fugitive | Karen | Episode: \"Never Wave Goodbye\" |\n| 1963 | Route 66 | Willow | Episode: \"Fifty Miles from Home\" |\n| 1964 | Looking For Love | Jan McNair | |\n| 1964 | Guns of Diablo | Maria Macklin | |\n| 1964 | Your Cheatin' Heart | Audrey Williams | |\n| 1964 | The Disorderly Orderly | Susan Andrews | |\n| 1964 | Destry | Rebecca Fairhaven | Episode: \"One Hundred Bibles\" |\n| 1964 | The Andy Griffith Show | Jan McNair | Episode: \"Prisoner of Love\" Season 4 Episode 18 |\n| 1964 | Star Trek | Vina | Pilot Episode: \"The Cage\" Episode: \"The Menagerie\" (Parts 1 & 2) S1: E12 & E13 respectively (1966) (re-used footage from the pilot) |\n| 1965 | Seaway | Sue Murray | Episode: \"The Sparrows\" |\n| 1965 | The Man from U.N.C.L.E. | Ursula Alice Baldwin | Episode: \"The Bow-Wow Affair\" |\n| 1966 | A Man Called Shenandoah | Virginia Harvey | Episode: \"Rope's End\" |\n| 1966 | Gomer Pyle, U.S.M.C. | Julie Myers | Episode: \"A Date with Miss Camp Henderson\" |\n| 1966 | My Three Sons | Jerry Harper | Episode: \"The Awkward Age\" |\n| 1966 | Peyton Place | Ann Howard | 48 episodes |\n| 1967 | Tarzan | Peggy Dean | Episode S1E18: \"The Day the Earth Trembled\" |\n| 1967 | T.H.E. Cat | Lori Neil | Episode: \"Twenty One And Out\" |\n| 1967 | The Love-Ins | Patricia Cross | |\n| 1967 | The Wild Wild West | Triste | Episode: \"The Night Dr. Loveless Died\" |\n| 1967 | The Invaders | Stacy Cahill | Episode: \"The Ivy Curtain\" |\n| 1968 | A Man Called Gannon | Matty | |\n| 1968 | The Invaders | Joan Seeley | Episode: \"Inquisition\" |\n| 1969 | Mannix | Linda Jordan | Episode: \"The Odds Against Donald Jordan\" |\n| 1969 | The Big Valley | Kate Wilson | Episode: \"Alias Nellie Handley\" |\n| 1969 | Change of Mind | Margaret Rowe | |\n| 1969 | The Monitors | Barbara Cole | |\n| 1970 | Carter's Army | Anna Renvic | TV movie |\n| 1971 | Company of Killers | Thelma Dwyer | TV movie |\n| 1971 | Do You Take This Stranger? | Mildred Crandall | TV movie |\n| 1971 | Dan August | Leona Serling | Episode: \"Prognosis: Homicide\" |\n| 1971 | Sarge | Fran | Episode: \"An Accident Waiting to Happen\" |\n| 1971 | Alias Smith and Jones | Miss Blanche Graham | Episode: \"Journey from San Juan\" |\n| 1972 | Medical Center | Ruth | Episode: \"Vision of Doom\" |\n| 1972 | Gunsmoke | Sarah Elkins | Episode: \"Eleven Dollars\" |\n| 1973 | The American Sportsman | Herself | Segment: \"Soaring at El Mirage\" |\n| 1973 | Cannon | Jill Thorson | Episode: \"Moving Target\" |\n| 1973 | Circle of Fear | Ellen Pritchard | Episode: \"Spare Parts\" |\n| 1973 | Love Story | Virginia Madison | Episode: \"The Youngest Lovers\" |\n| 1974 | Ginger in the Morning | Sugar | |\n| 1974 | Police Story | Rina Prescott | Episode: \"World Full of Hurt\" |\n| 1974 | Petrocelli | Eleanor Warren | Episode: \"Edge of Evil\" |\n| 1976 | Amelia Earhart | Netta Snook \"Snookie\" | |\n| 1977 | The Streets of San Francisco | Gracie Boggs | Episode: \"Hang Tough\" |\n| 1977 | Nido de Viudas | Isabel | US title: Widow's Nest |\n| 1980 | Hardly Working | Claire Trent | |\n| 1982 | Tomorrow's Child | Marilyn Hurst | Television movie |\n| 1982 | M*A*S*H | | Director, 1 episode |\n| 1983 | Trapper John, M.D. | | Director, 1 episode |\n| 1982 | International Airport | Mary Van Leuven | Television movie |\n| 1985 | Magnum, P.I. | Laurie Crane | Episode: \"Let Me Hear the Music\" |\n| 1986 | Murder, She Wrote | Louise | Episode: \"Jessica Behind Bars\" |\n| 1988 | Our House | Olga Zelnikova | Episode: \"Balance of Power\" |\n| 1988 | Freddy's Nightmares | The Maid / Future Judy Miller | Episode: \"Judy Miller, Come on Down\", (final appearance) |" + }, + { + "from": "human", + "value": "At row 8 and column 2 of this table, retrieve and report the content of the corresponding cell. Provide the value of target cell in the JSON structure, using the format {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"\"}." + }, + { + "from": "gpt", + "value": "The target cell value in row 8 and column 2 is {\"row_id\":\"8\", \"column_id\":\"2\", \"cell_value\":\"Suspicion\"}." + }, + { + "from": "human", + "value": "Here's a Wikipedia table under the title 'Susan Oliver', with a section titled 'Selected TV and filmography' \nBased on the table information, construct a one-sentence summary of the highlighted cells." + }, + { + "from": "gpt", + "value": "Oliver played as Ann Howard in the Peyton Place in 1966." + } + ] + }, + { + "id": "table_instructV_multi_round_7101", + "image": "table_instructV/images/TabFact_2-10506557-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| driver | team | laps | time / retired | grid | points |\n| --- | --- | --- | --- | --- | --- |\n| will power | team australia | 68 | 1:45:13.637 | 1 | 34 |\n| robert doornbos | minardi team usa | 68 | + 16.789 | 3 | 27 |\n| paul tracy | forsythe racing | 68 | + 27.356 | 2 | 27 |\n| alex tagliani | rsports | 68 | + 48.981 | 4 | 24 |\n| tristan gommendy | pkv racing | 68 | + 1:10.396 | 11 | 21 |\n| katherine legge | dale coyne racing | 68 | + 1:21.261 | 13 | 20 |\n| bruno junqueira | dale coyne racing | 66 | + 1 lap | 6 | 18 |\n| alex figge | pacific coast motorsports | 63 | + 5 laps | 17 | 15 |\n| mario dominguez | forsythe racing | 57 | + 11 laps | 7 | 13 |\n| neel jani | pkv racing | 56 | mechanical | 9 | 11 |\n| ryan dalziel | pacific coast motorsports | 52 | + 16 laps | 15 | 10 |\n| simon pagenaud | team australia | 47 | engine | 5 | 9 |\n| sãbastien bourdais | n / h / l racing | 30 | accident | 16 | 8 |\n| justin wilson | rsports | 20 | input shaft | 8 | 7 |\n| dan clarke | minardi team usa | 13 | accident | 12 | 6 |\n| matt halliday | conquest racing | 3 | accident | 14 | 5 |\n| graham rahal | n / h / l racing | 1 | accident | 10 | 4 |" + }, + { + "from": "human", + "value": "Give you a table picture about '2007 vegas grand prix', determine whether the following sentence is upheld or disputed by the table's content. Show your final answer in the JSON format {\"answer\": \"\"}.\n\nwill power of team australia had the second highest points at 34" + }, + { + "from": "gpt", + "value": "By using the table as supporting evidence, it is evident that the sentence is incorrect. Consequently, the answer is {\"answer\": \"disputed\"}." + }, + { + "from": "human", + "value": "Watch the table in this image and convert it into a Latex table in the text form." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|c|}\n\\hline\n driver & team & laps & time / retired & grid & points \\\\\n\\hline\n will power & team australia & 68 & 1:45:13.637 & 1 & 34 \\\\\n\\hline\n robert doornbos & minardi team usa & 68 & + 16.789 & 3 & 27 \\\\\n\\hline\n paul tracy & forsythe racing & 68 & + 27.356 & 2 & 27 \\\\\n\\hline\n alex tagliani & rsports & 68 & + 48.981 & 4 & 24 \\\\\n\\hline\n tristan gommendy & pkv racing & 68 & + 1:10.396 & 11 & 21 \\\\\n\\hline\n katherine legge & dale coyne racing & 68 & + 1:21.261 & 13 & 20 \\\\\n\\hline\n bruno junqueira & dale coyne racing & 66 & + 1 lap & 6 & 18 \\\\\n\\hline\n alex figge & pacific coast motorsports & 63 & + 5 laps & 17 & 15 \\\\\n\\hline\n mario dominguez & forsythe racing & 57 & + 11 laps & 7 & 13 \\\\\n\\hline\n neel jani & pkv racing & 56 & mechanical & 9 & 11 \\\\\n\\hline\n ryan dalziel & pacific coast motorsports & 52 & + 16 laps & 15 & 10 \\\\\n\\hline\n simon pagenaud & team australia & 47 & engine & 5 & 9 \\\\\n\\hline\n sãbastien bourdais & n / h / l racing & 30 & accident & 16 & 8 \\\\\n\\hline\n justin wilson & rsports & 20 & input shaft & 8 & 7 \\\\\n\\hline\n dan clarke & minardi team usa & 13 & accident & 12 & 6 \\\\\n\\hline\n matt halliday & conquest racing & 3 & accident & 14 & 5 \\\\\n\\hline\n graham rahal & n / h / l racing & 1 & accident & 10 & 4 \\\\\n\\hline\n\\end{tabular}" + }, + { + "from": "human", + "value": "Examine the table with the caption '2007 vegas grand prix', classify whether the provided table affirms or disproves the sentence. Show your final answer in the JSON format {\"answer\": \"\"}.\nsentence: matt halliday did 2 fewer laps than the 5 laps graham rahal did" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table disproves the validity of the sentence. Therefore, the final answer: {\"answer\": \"disproves\"}." + }, + { + "from": "human", + "value": "Presented with a table with the title '2007 vegas grand prix', distinguish whether the table entails or contradicts the following sentence. Show your final answer in the JSON format {\"answer\": \"\"}.\nsentence: matt halliday did 2 more laps than the 3 laps graham rahal did" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it entails the sentence. Hence, the answer is {\"answer\": \"entails\"}." + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table with its caption '2007 vegas grand prix', the goal is to distinguish whether the following statement is supported or refuted by the table. Output the final answer as JSON in the format {\"answer\": \"\"}.\nkatherine legge of dale coyne racing did 68 laps while bruno junqueira of dale coyne racing did 66" + }, + { + "from": "gpt", + "value": "Based on the table information, the statement is true. Thus, the answer is {\"answer\": \"supported\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_7148", + "image": "table_instructV/images/TabFact_1-17693171-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| fin pos | car no | driver | team | laps | time / retired | grid | laps led | points |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 10 | dan wheldon | target chip ganassi | 200 | 1:36:56.0586 | 4 | 177 | 50 + 3 |\n| 2 | 27 | dario franchitti | andretti green | 200 | + 18.4830 | 6 | 0 | 40 |\n| 3 | 3 | hãlio castroneves | team penske | 200 | + 33.2280 | 3 | 0 | 35 |\n| 4 | 9 | scott dixon | target chip ganassi | 200 | + 34.4208 | 5 | 16 | 32 |\n| 5 | 2 | tomas scheckter | vision racing | 199 | + 1 lap | 7 | 0 | 30 |\n| 6 | 6 | sam hornish , jr | team penske | 199 | + 1 lap | 2 | 0 | 28 |\n| 7 | 7 | danica patrick | andretti green | 198 | + 2 laps | 10 | 0 | 26 |\n| 8 | 4 | vitor meira | panther racing | 198 | + 2 laps | 8 | 0 | 24 |\n| 9 | 22 | a j foyt iv | vision racing | 198 | + 2 laps | 15 | 0 | 22 |\n| 10 | 17 | jeff simmons | rahal letterman | 198 | + 2 laps | 16 | 0 | 20 |\n| 11 | 14 | darren manning | aj foyt racing | 198 | + 2 laps | 11 | 0 | 19 |\n| 12 | 5 | sarah fisher | dreyer & reinbold racing | 196 | + 4 laps | 17 | 0 | 18 |\n| 13 | 8 | scott sharp | rahal letterman | 195 | accident | 14 | 0 | 17 |\n| 14 | 23 | milka duno | samax motorsport | 194 | + 6 laps | 21 | 0 | 16 |\n| 15 | 11 | tony kanaan | andretti green racing | 192 | + 8 laps | 1 | 7 | 15 |\n| 16 | 98 | alex barron | curb / agajanian / beck | 191 | + 9 laps | 20 | 0 | 14 |\n| 17 | 20 | ed carpenter | vision racing | 99 | accident | 13 | 0 | 13 |\n| 18 | 55 | kosuke matsuura | super aguri panther racing | 57 | mechanical | 12 | 0 | 12 |\n| 19 | 26 | marco andretti | andretti green racing | 43 | mechanical | 9 | 0 | 12 |\n| 20 | 15 | buddy rice | dreyer & reinbold racing | 37 | mechanical | 18 | 0 | 12 |" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table with its caption '2007 kansas lottery indy 300', the goal is to distinguish whether the following statement is entailed or opposed by the table. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nthree teams had 191 laps with 0 laps led" + }, + { + "from": "gpt", + "value": "By using the table as supporting evidence, it is evident that the statement is incorrect. Consequently, the answer is {\"answer\": \"opposed\"}." + }, + { + "from": "human", + "value": "Based on the table image about '2007 kansas lottery indy 300' and the subsequent claim, determine if the table confirms or conflicts with the subsequent claim. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nclaim: marco andretti is the only driver that retired for a mechanical reason" + }, + { + "from": "gpt", + "value": "Based on the table, the claim can not hold true. Thus, the final answer is {\"answer\": \"conflicts with\"}." + }, + { + "from": "human", + "value": "Examine the table with the caption '2007 kansas lottery indy 300', classify whether the provided table supports or conflicts with the claim. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nclaim: drivers who have a time / retired value of plus 1 lap have had no more than 199 laps" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it supports the claim. So, the answer is {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "Analyze this table picture about '2007 kansas lottery indy 300' and classify whether the given table entails or contradicts the sentence. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\n\njeff simmons of team rahal letterman had 20 total points" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the sentence. Consequently, the answer is {\"answer\": \"entails\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_7245", + "image": "table_instructV/images/Rotowire_train_table_3185.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Clippers | LA | 103 | 24 | 14 | 30 | 35 | 26 | 45 | 6 | 41 | 67 | 28 | 40 | 20 | | | | |\n| Thunder | Oklahoma City | 98 | 37 | 21 | 27 | 13 | 22 | 63 | 17 | 40 | 91 | 29 | 42 | 19 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Clippers | | | | | | | | | | | | | | | | | | |\n| Chris Paul | 40 | 21 | 4 | 13 | 8-17 | 47% | 1-4 | 25% | 4-4 | 100% | 1 | 2 | 1 | 1 | 3 | 4 | G | LA |\n| DeAndre Jordan | 36 | 20 | 18 | 2 | 8-13 | 62% | 0-0 | 0% | 4-7 | 57% | 1 | 0 | 1 | 6 | 12 | 0 | C | LA |\n| JJ Redick | 31 | 16 | 1 | 3 | 6-13 | 46% | 2-6 | 33% | 2-2 | 100% | 1 | 1 | 0 | 0 | 1 | 3 | G | LA |\n| Jamal Crawford | 32 | 12 | 2 | 2 | 5-14 | 36% | 0-4 | 0% | 2-3 | 67% | 1 | 0 | 0 | 1 | 1 | 0 | N/A | LA |\n| Wesley Johnson | 31 | 11 | 4 | 2 | 4-16 | 25% | 3-9 | 33% | 0-1 | 0% | 5 | 0 | 1 | 2 | 2 | 1 | N/A | LA |\n| Cole Aldrich | 12 | 8 | 6 | 0 | 4-5 | 80% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 6 | 0 | N/A | LA |\n| Austin Rivers | 19 | 6 | 3 | 1 | 2-8 | 25% | 0-2 | 0% | 2-4 | 50% | 1 | 1 | 0 | 1 | 2 | 1 | N/A | LA |\n| Paul Pierce | 15 | 6 | 4 | 1 | 2-4 | 50% | 2-3 | 67% | 0-0 | 0% | 0 | 0 | 0 | 1 | 3 | 1 | F | LA |\n| Pablo Prigioni | 8 | 3 | 1 | 0 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | LA |\n| Jeff Green | 17 | 0 | 2 | 2 | 0-7 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 3 | F | LA |\n| Alex Stepheson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |\n| CJ Wilcox | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |\n| Luc Mbah a Moute | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Kevin Durant | 39 | 30 | 11 | 5 | 12-27 | 44% | 3-12 | 25% | 3-4 | 75% | 0 | 6 | 5 | 0 | 11 | 2 | F | Oklahoma City |\n| Russell Westbrook | 37 | 24 | 6 | 12 | 8-21 | 38% | 2-7 | 29% | 6-6 | 100% | 1 | 5 | 0 | 0 | 6 | 4 | G | Oklahoma City |\n| Serge Ibaka | 33 | 11 | 11 | 2 | 5-16 | 31% | 0-1 | 0% | 1-1 | 100% | 1 | 2 | 0 | 4 | 7 | 3 | F | Oklahoma City |\n| Randy Foye | 26 | 8 | 4 | 2 | 3-4 | 75% | 2-3 | 67% | 0-0 | 0% | 1 | 2 | 2 | 0 | 4 | 1 | N/A | Oklahoma City |\n| Enes Kanter | 15 | 8 | 8 | 0 | 4-9 | 44% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 3 | 5 | 0 | N/A | Oklahoma City |\n| Steven Adams | 27 | 6 | 9 | 0 | 3-4 | 75% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 6 | 3 | 1 | C | Oklahoma City |\n| Dion Waiters | 27 | 6 | 2 | 0 | 2-9 | 22% | 2-6 | 33% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 2 | N/A | Oklahoma City |\n| Kyle Singler | 12 | 3 | 4 | 0 | 1-2 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 3 | 1 | 4 | N/A | Oklahoma City |\n| Cameron Payne | 3 | 2 | 1 | 1 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 1 | N/A | Oklahoma City |\n| Andre Roberson | 22 | 0 | 7 | 0 | 0-4 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 6 | 3 | G | Oklahoma City |\n| Mitch McGary | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Nick Collison | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Anthony Morrow | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |" + }, + { + "from": "human", + "value": "This image shows a table. Determine whether this table contains merged cells and output merged cell areas with the JSON format of {'top-left':(X, Y), 'bottom-right':(Z, W)}, where X, Y, Z and W represent the indices of the first row, the first column, the last row, and the last column in the merged region. Row and column indices are numberd from 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "This picture shows data records of an NBA game on 2016-03-02. Utilizing these data to output a detailed game summary." + }, + { + "from": "gpt", + "value": "The Los Angeles Clippers (40-20) defeated the Oklahoma City Thunder (42-19) 103-98 at Staples Center on Wednesday. A tale of two halves between a pair of the Western Conference’s best teams, and one that pointed towards a Thunder rout from the get go. Oklahoma City stormed out to a twenty point lead behind Russell Westbrook and Kevin Durant, which has been the theme of their season so far. The scoring outbursts from the two all-stars eventually went cold when it mattered most, as Los Angeles rallied behind Wesley Johnson’s three point shooting and superb defense and DeAndre Jordan’s smooth touch at the rim. Chris Paul and company needed a miracle to make the comeback, and that miracle was granted after Jordan made two free throws, as part of two possessions that sent him to the free throw line the old fashioned way. With just under 5:0 remaining in the fourth quarter, Johnson drained back-to-back treys to pull within eight points of the Thunder. Add in a trio of layups from Jamal Crawford, Jordan and Paul (in that order), and the Clippers found themselves down just two points. Kevin Durant broke the cold streak with 2:0 remaining, but the aforementioned Jordan and-1’s came on the following possessions and the Clippers didn’t look back, capping off the 22 point comeback and resilient victory. Durant led all scorers with 30 points, to go along with 11 rebounds, five assists and five blocks, while Westbrook, who’s shot selection late in the game became strange, finished with 24 points, six rebounds and 12 assists. Serge Ibaka pitched in a double-double with 11 points and 11 boards, and the Thunder bench was led by Enes Kanter’s eight points and eight rebounds. On the Clippers end, it was Paul’s unselfish leadership, as he finished with 21 points, four rebounds and 13 assists. Johnson deserves a lot of credit down the stretch, as he pestered Kevin Durant with fabulous defense, and scored 11 points off the bench. The volume shot selection was not the best of choice, seeing as he took 16 shots, but the ones that fell came at the right time to bail out the 4-of-16 shooting. Jordan nailed his free throws when they mattered most and totaled 20 points and 18 rebounds. The Thunder will head north to cap off a brutal back-to-back against the Golden State Warriors (54-5) on Thursday, while the Clippers will enjoy a few days off before hosting the Atlanta Hawks (33-28) on Saturday." + } + ] + }, + { + "id": "table_instructV_multi_round_7357", + "image": "table_instructV/images/TABMWP_25688.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $185 | 18,600 | 1,800 |\n| $325 | 14,300 | 5,500 |\n| $465 | 10,000 | 9,200 |\n| $605 | 5,700 | 12,900 |\n| $745 | 1,400 | 16,600 |" + }, + { + "from": "human", + "value": "Give you a table image, answer this question. Let's think step by step. Output the final answer as JSON in the format {\"answer\": \"\"}.\nLook at the table. Then answer the question. At a price of $185, is there a shortage or a surplus? (A) shortage (B) surplus" + }, + { + "from": "gpt", + "value": "At the price of $185, the quantity demanded is greater than the quantity supplied. There is not enough of the good or service for sale at that price. So, there is a shortage.\n\n\nTherefore, the final answer is {\"answer\": \"shortage\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_7409", + "image": "table_instructV/images/TAT-QA_b9e0a593-dc47-461e-beff-ee29cec5c92a.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | December 31, | |\n| --- | --- | --- |\n| | 2019 | 2018 |\n| Current: | | |\n| Domains | $752.7 | $686.3 |\n| Hosting and presence | 526.7 | 483.3 |\n| Business applications | 265.0 | 224.1 |\n| | $1,544.4 | $1,393.7 |\n| Noncurrent: | | |\n| Domains | $382.2 | $365.8 |\n| Hosting and presence | 187.2 | 180.6 |\n| Business applications | 85.0 | 77.4 |\n| | $ 654.4 | $623.8 |" + }, + { + "from": "human", + "value": "Refer to the provided table, and respond succinctly to the subsequent question. Conclude your response with a final answer in the JSON format {\"answer\": []}.\nQuestion: What is the 2019 year end total non-current deferred revenue?" + }, + { + "from": "gpt", + "value": "According to the table, the final answer is {\"answer\": [\"654.4\"]}." + }, + { + "from": "human", + "value": "Please consult the table and use it to answer the question concisely. Present the final answer in a JSON format {\"answer\": []}.\nWhat are the 3 types of non-current deferred revenue?" + }, + { + "from": "gpt", + "value": "According to the table, the final answer is {\"answer\": [\"Domains\", \"Hosting and presence\", \"Business applications\"]}." + }, + { + "from": "human", + "value": "Look at this table. Give your well-considered answer to the subsequent question. Besides, your final answer should be in the JSON format {\"answer\": []} such as {\"answer\": [\"87.56\", \"12.43\"]}.\nWas total current or total non-current deferred revenue greater for 2019 year end?" + }, + { + "from": "gpt", + "value": "Based on the information in the table, 1,544.4>654.4. Therefore, the answer is {\"answer\": [\"Current\"]}." + }, + { + "from": "human", + "value": "With reference to the depicted table, kindly offer a succinct answer to the following question. The final result should be presented in the JSON format of {\"answer\": []} like {\"answer\": [\"emotional abuse\", \"July\"]}.\nQuestion: What is the 2018 year end total non-current deferred revenue?" + }, + { + "from": "gpt", + "value": "According to the table, the final answer is {\"answer\": [\"623.8\"]}." + }, + { + "from": "human", + "value": "Give you a table image. Inspect this table to answer the subsequent problem:\nWhat is the average total non-current deferred revenue for 2018 and 2019?\n\nThe concluding answer should be in the JSON structure, formatted as {\"answer\": []}. For instance, {\"answer\": [\"23\", \"14.5\"]}." + }, + { + "from": "gpt", + "value": "To answer the given question, we need to conduct the following computations:\n(654.4+623.8)/2 = 639.1\nTherefore, the final answer is {\"answer\": [\"639.1\"]}." + }, + { + "from": "human", + "value": "Given the table, answer the following question in detail. The final result should be presented in the JSON format of {\"answer\": []} like {\"answer\": [\"emotional abuse\", \"July\"]}.\nWhat is the average total current deferred revenue for 2018 and 2019?" + }, + { + "from": "gpt", + "value": "Using the number listed in the table, we have the following computations: (1544.4+1393.7)/2 = 1469.05\n\nAs a result, the final answer is {\"answer\": [\"1469.05\"]}." + } + ] + }, + { + "id": "table_instructV_multi_round_7538", + "image": "table_instructV/images/TabFact_1-23963781-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| name | nationality | position | athletica career | appearances | starts | minutes | goals | assists |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| eniola aluko | england | fw | 2009 - | 19 | 17 | 1503 | 6 | 4 |\n| lori chalupny | united states | mf | 2009 - | 18 | 18 | 1575 | 2 | 1 |\n| amanda cinalli | united states | fw | 2009 | 12 | 12 | 917 | 2 | 1 |\n| niki cross | united states | df | 2009 | 11 | 8 | 616 | 1 | 0 |\n| daniela | brazil | mf | 2009 | 4 | 4 | 318 | 2 | 0 |\n| tina ellertson | united states | df | 2009 - | 20 | 20 | 1748 | 0 | 0 |\n| kendall fletcher | united states | df | 2009 - | 16 | 15 | 1338 | 0 | 3 |\n| francielle | brazil | mf | 2009 | 6 | 3 | 323 | 0 | 0 |\n| sheree gray | united states | df | 2009 | 5 | 1 | 144 | 0 | 0 |\n| kerri hanks | united states | fw | 2009 | 10 | 6 | 573 | 1 | 1 |\n| erin kane | united states | gk | 2009 | 0 | 0 | 0 | 0 | 0 |\n| sara larsson | sweden | df | 2009 | 15 | 12 | 1047 | 0 | 0 |\n| stephanie logterman | united states | df | 2009 - | 13 | 8 | 870 | 0 | 0 |\n| jillian loyden | united states | gk | 2009 - | 3 | 3 | 270 | 0 | 0 |\n| kia mcneill | united states | df | 2009 - | 19 | 17 | 1405 | 0 | 0 |\n| ashlee pistorius | united states | fw | 2009 | 4 | 0 | 52 | 0 | 0 |\n| hope solo | united states | gk | 2009 - | 17 | 17 | 1530 | 0 | 0 |\n| lisa stoia | united states | mf | 2009 | 12 | 9 | 863 | 0 | 0 |\n| melissa tancredi | canada | fw | 2009 | 14 | 9 | 824 | 0 | 2 |\n| lydia vandenbergh | united states | mf | 2009 | 0 | 0 | 0 | 0 | 0 |\n| sarah walsh | australia | fw | 2009 | 6 | 2 | 250 | 0 | 1 |\n| erin walter | united states | mf | 2009 | 6 | 0 | 192 | 0 | 0 |\n| elise weber | united states | df | 2009 - | 18 | 14 | 1279 | 1 | 0 |\n| christie welsh | united states | fw | 2009 | 11 | 7 | 591 | 3 | 0 |" + }, + { + "from": "human", + "value": "Give you a table titled 'all - time saint louis athletica roster' and a sentence which is 'more than a dozen players had neither goals nor assists', select the correct relation between the table and the sentence based on the table information. The final result should be presented in the JSON format of {\"answer\": \"\"}.\n\n(A) affirms (the sentence is true)\n(B) conflicts with (the sentence is false)" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it conflicts with the sentence. Hence, the answer is {\"answer\": \"conflicts with\"}." + }, + { + "from": "human", + "value": "Determine the relationship between the table named 'all - time saint louis athletica roster' and the sentence. Whether the table entails or conflicts with the given sentence? Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nsentence: eniola aluko from england had the second most goals with 6" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it conflicts with the sentence. So, the answer is {\"answer\": \"conflicts with\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title 'all - time saint louis athletica roster', and determine whether the given hypothesis is entailed or disproved by the table information. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nhypothesis: everyone on the roster had atheltica careers starting on 2009" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the hypothesis. Hence, the answer is {\"answer\": \"entailed\"}." + }, + { + "from": "human", + "value": "For the cells in row 5 of this table, provide their contents. The cells in a row should be presented in the JSON format of {\"row_id\":\"\", \"cell_list\":\"\"}, e.g., {\"row_id\":\"3\", \"cell_list\": [\"xxx\", \"yyy\", \"zzz\"]}." + }, + { + "from": "gpt", + "value": "The cells in row 5: {\"row_id\": \"5\", \"cell_list\": ['niki cross', 'united states', 'df', '2009', '11', '8', '616', '1', '0']}" + }, + { + "from": "human", + "value": "Give you a table picture about 'all - time saint louis athletica roster', determine whether the following claim is confirmed or challenged by the table's content. Show your final answer in the JSON format {\"answer\": \"\"}.\n\ntina ellertson from the united states had the most appearances and starts with 20 each" + }, + { + "from": "gpt", + "value": "According to the table, the claim is confirmed by the table information. Therefore, the final answer: {\"answer\": \"confirmed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_7591", + "image": "table_instructV/images/TAT-QA_038285b3-ff84-4a86-9123-9925d5d0627b.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| | CONSOLIDATED | |\n| --- | --- | --- |\n| | 2019 $’000 | 2018 $’000 |\n| Current | | |\n| Annual leave | 2,349 | 2,233 |\n| Long service leave | 830 | 781 |\n| Clawback | 2,715 | 2,463 |\n| Rebates | 241 | 224 |\n| | 6,135 | 5,701 |\n| Non-Current | | |\n| Long service leave | 418 | 343 |\n| | 418 | 343 |" + }, + { + "from": "human", + "value": "Answer the following question based on this table. Return the final result as JSON in the format {\"answer\": []}.\nWhat is the percentage change in the current provisions from 2018 to 2019?" + }, + { + "from": "gpt", + "value": "Based on the table, we need to conduct the following computations:\n(6135-5701)/5701 = 7.61\nTherefore, the final answer: {\"answer\": [\"7.61\"]}." + }, + { + "from": "human", + "value": "Analyze the table and respond to the question that follows. Provide a concluding answer in a JSON structure, using the format {\"answer\": []} such as {\"answer\": [\"20\", \"apple\"]}.\nWhat is the percentage change in the annual leave provisions from 2018 to 2019?" + }, + { + "from": "gpt", + "value": "Based on the given table:\n(2349-2233)/2233 = 5.19\nTherefore, the answer is {\"answer\": [\"5.19\"]}." + }, + { + "from": "human", + "value": "A table may have multiple merged cells and we can represent a merged cell region by a JSON {'top-left':(A, B), 'bottom-right':(C, D)}. Here, '(A, B)' and '(C, D)' denote the coordinates (row_id, column_id) of the top-left and bottom-right cells of the merged regions, respectively. Now, based on the shown table image, please find all merged cells in this table and return their representations in the above format. Keep in mind that row and column IDs start from 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "This is a table picture. Can you figure out the row and column numbers for this particular table? Show your final answer in the JSON format {\"row_number\": \"m\", \"column_number\": \"n\"}." + }, + { + "from": "gpt", + "value": "There are 11 rows and 3 columns in the table. So, the final answer is {\"row_number\": \"11\", \"column_number\": \"3\"}." + }, + { + "from": "human", + "value": "Look at the table, and use the information to answer the question. Present the final answer in a JSON format {\"answer\": []}.\nWhat is the percentage change in the non-current provisions from 2018 to 2019?" + }, + { + "from": "gpt", + "value": "Based on the given table:\n(418-343)/343 = 21.87\nTherefore, the answer is {\"answer\": [\"21.87\"]}." + } + ] + }, + { + "id": "table_instructV_multi_round_7821", + "image": "table_instructV/images/ToTTo_train_table_18200.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Commerce | Science | | Humanities |\n| --- | --- | --- | --- |\n| English | English | | English |\n| Accountancy | Physics | | Geography |\n| Business Studies | Chemistry | | History |\n| Economics/Pol Science | Mathematics/IP/Hindi | | Economics/Pol Science |\n| IP/Maths/Hindi/Painting | CS/Biology | | IP/Hindi/Painting |\n| PE | PE | | PE |" + }, + { + "from": "human", + "value": "Help me finish a table-to-text task. You need to produce a one-sentence description of the highlighted table cells according to the provided table and its related information.\nTable title: Army Public School, Binnaguri\nSection title: Streams after Grade X" + }, + { + "from": "gpt", + "value": "Army Public School educates students with Science, Commerce and Humanities streams." + } + ] + }, + { + "id": "table_instructV_multi_round_7844", + "image": "table_instructV/images/Rotowire_train_table_886.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Thunder | Oklahoma City | 111 | 24 | 24 | 35 | 28 | 19 | 47 | 17 | 52 | 89 | 35 | 51 | 22 | | | | |\n| Spurs | San Antonio | 92 | 26 | 18 | 19 | 29 | 14 | 34 | 12 | 43 | 82 | 27 | 61 | 12 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Kevin Durant | 32 | 31 | 10 | 3 | 13-20 | 65% | 5-7 | 71% | 0-0 | 0% | 0 | 5 | 0 | 1 | 9 | 3 | F | Oklahoma City |\n| Russell Westbrook | 34 | 29 | 6 | 8 | 10-18 | 56% | 0-2 | 0% | 9-9 | 100% | 1 | 2 | 0 | 2 | 4 | 1 | G | Oklahoma City |\n| Enes Kanter | 21 | 20 | 10 | 0 | 7-12 | 58% | 0-0 | 0% | 6-7 | 86% | 1 | 2 | 1 | 6 | 4 | 2 | N/A | Oklahoma City |\n| Serge Ibaka | 35 | 15 | 8 | 1 | 7-12 | 58% | 1-4 | 25% | 0-0 | 0% | 0 | 1 | 4 | 0 | 8 | 0 | F | Oklahoma City |\n| Steven Adams | 27 | 9 | 6 | 1 | 4-5 | 80% | 0-0 | 0% | 1-2 | 50% | 1 | 3 | 0 | 3 | 3 | 3 | C | Oklahoma City |\n| Andre Roberson | 31 | 5 | 4 | 2 | 2-2 | 100% | 1-1 | 100% | 0-0 | 0% | 2 | 0 | 0 | 1 | 3 | 0 | G | Oklahoma City |\n| Randy Foye | 22 | 2 | 1 | 1 | 1-6 | 17% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Oklahoma City |\n| Dion Waiters | 18 | 0 | 0 | 0 | 0-4 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 2 | N/A | Oklahoma City |\n| Cameron Payne | 14 | 0 | 2 | 3 | 0-5 | 0% | 0-3 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 3 | N/A | Oklahoma City |\n| Kyle Singler | 7 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 3 | N/A | Oklahoma City |\n| Nazr Mohammed | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Anthony Morrow | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Nick Collison | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| David West | 24 | 17 | 6 | 3 | 7-16 | 44% | 0-0 | 0% | 3-3 | 100% | 0 | 1 | 1 | 4 | 2 | 2 | N/A | San Antonio |\n| Jonathon Simmons | 29 | 17 | 1 | 1 | 7-11 | 64% | 1-1 | 100% | 2-4 | 50% | 1 | 0 | 0 | 0 | 1 | 2 | N/A | San Antonio |\n| Boban Marjanovic | 27 | 13 | 6 | 1 | 5-12 | 42% | 0-0 | 0% | 3-4 | 75% | 1 | 2 | 1 | 3 | 3 | 0 | C | San Antonio |\n| Andre Miller | 19 | 11 | 8 | 2 | 4-7 | 57% | 0-0 | 0% | 3-3 | 100% | 1 | 3 | 0 | 2 | 6 | 3 | N/A | San Antonio |\n| Boris Diaw | 27 | 10 | 4 | 1 | 4-6 | 67% | 0-2 | 0% | 2-2 | 100% | 0 | 1 | 0 | 1 | 3 | 2 | F | San Antonio |\n| Patty Mills | 31 | 10 | 2 | 0 | 4-10 | 40% | 2-6 | 33% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 3 | G | San Antonio |\n| Kyle Anderson | 30 | 7 | 5 | 3 | 3-7 | 43% | 1-1 | 100% | 0-0 | 0% | 3 | 2 | 0 | 1 | 4 | 2 | F | San Antonio |\n| Kevin Martin | 18 | 3 | 0 | 0 | 1-9 | 11% | 0-1 | 0% | 1-1 | 100% | 1 | 1 | 1 | 0 | 0 | 0 | N/A | San Antonio |\n| Danny Green | 22 | 2 | 2 | 2 | 1-6 | 17% | 0-4 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 1 | 2 | G | San Antonio |\n| Matt Bonner | 12 | 2 | 0 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | San Antonio |\n| Kawhi Leonard | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| LaMarcus Aldridge | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Tony Parker | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |" + }, + { + "from": "human", + "value": "Given a table containing data statistics of an NBA basketball game between Thunder and Spurs on 26th March, 2016, generate a summary for this game according to the given table." + }, + { + "from": "gpt", + "value": "The Oklahoma City Thunder (51-22) defeated the San Antonio Spurs (61-12) 111-92 on Saturday. The Spurs came into this game extremely shorthanded and it truly showed. It was the second and third quarters when the Thunder put it to the Spurs, as they outscored them by 22 points. The key for Oklahoma City was their rebounding, as they brought down 47 boards to San Antonio 's 34. The Thunder shot 52 percent from the field, which is rare for this stingy San Antonio defense. The Spurs played this game without Kawhi Leonard, Tony Parker and Tim Duncan and they really struggled. David West was the lone bright spot off the bench, as he tallied 17 points, six rebounds and three assists. Johnathan Simmons also scored 17 off then bench, which tied the team-lead. On deck for San Antonio is a matchup with the Memphis Grizzlies on Monday. This was a game that the Thunder were supposed to win and they did a great job of leaving nothing to chance. Russell Westbrook was spectacular, as he accumulated 29 points, six rebounds and eight assists. Kevin Durant led the team with 31 points, while also snatching down 10 rebounds in the win. Enes Kanter double-doubled off the bench, as he scored 20 points to go along with 10 boards. The Thunder will look to extend their winning streak to eight games on Monday against the Toronto Raptors." + } + ] + }, + { + "id": "table_instructV_multi_round_7869", + "image": "table_instructV/images/TabFact_1-16423070-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| school year | volleyball | cross country | soccer | tennis | golf | basketball | swimming | softball | track & field |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2003 - 04 | orrville | ashland | lexington | lexington | began in 2013 | orrville | wooster | ashland | lexington |\n| 2004 - 05 | orrville , madison , lexington , west holmes | ashland | ashland | lexington | n / a | orrville | lexington | lexington | lexington |\n| 2005 - 06 | wooster | lexington | ashland | lexington | n / a | wooster | wooster | clear fork | ashland |\n| 2006 - 07 | wooster | ashland | ashland | lexington | n / a | lexington | wooster | ashland | ashland |\n| 2007 - 08 | wooster | lexington | ashland | lexington | n / a | west holmes | wooster | clear fork , wooster | orrville |\n| 2008 - 09 | madison | wooster | ashland | lexington | n / a | west holmes | wooster | clear fork , lexington | ashland |\n| 2009 - 10 | lexington , madison , orrville | lexington | lexington , wooster | lexington | n / a | orrville | wooster | clear fork | ashland |\n| 2010 - 11 | madison | lexington | clear fork | lexington | n / a | west holmes | lexington | clear fork | ashland |\n| 2011 - 12 | madison | lexington | wooster | lexington | n / a | west holmes | wooster | orrville | orrville |\n| 2012 - 13 | lexington | lexington | ashland | lexington | n / a | west holmes | wooster | madison | west holmes |" + }, + { + "from": "human", + "value": "Determine the relationship between the table named 'none' and the hypothesis. Whether the table upholds or disproves the given hypothesis? Output the final answer as JSON in the format {\"answer\": \"\"}.\nhypothesis: when wooster won tennis , there was no golf competition" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the hypothesis is false. Consequently, the answer is {\"answer\": \"disproves\"}." + }, + { + "from": "human", + "value": "Give you a table picture about 'none', determine whether the following claim is upheld or disproved by the table's content. Show your final answer in the JSON format {\"answer\": \"\"}.\n\nlexington won basketball and ashland won both track & field and cross country" + }, + { + "from": "gpt", + "value": "Based on the table information, the claim is true. Thus, the answer is {\"answer\": \"upheld\"}." + }, + { + "from": "human", + "value": "Give you a table picture about 'none', determine whether the following statement is upheld or opposed by the table's content. The final result should be presented in the JSON format of {\"answer\": \"\"}.\n\nwhile ashland won both track & field and cross country , lexington won swimming" + }, + { + "from": "gpt", + "value": "Based on the evidence presented in the table, we can conclude that the statement is not true. Therefore, the answer is {\"answer\": \"opposed\"}." + }, + { + "from": "human", + "value": "Determine the relationship between the table and the claim, classify it as supported or disputed. Show your final answer in the JSON format {\"answer\": \"\"}.\nTable title: none\nclaim: there was no golf competition the year wooster won soccer" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the claim is valid. Hence, the answer is {\"answer\": \"supported\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_8037", + "image": "table_instructV/images/TAT-QA_76ce05c3-8d33-4fd8-9c6e-73c9486a8a8d.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| £m | 2018/19 | 2017/18 | Change |\n| --- | --- | --- | --- |\n| Overseas current tax | | | |\n| Current year | 1.1 | 0.8 | 0.3 |\n| Deferred tax | | | |\n| Current period | 6.1 | (4.1) | 10.2 |\n| Prior periods | 1.7 | (8.1) | 9.8 |\n| – Adjustment to restate opening deferred tax at 17.0% | – | (2.3) | 2.3 |\n| Income tax credit/ (charge) | 8.9 | (13.7) | 22.6 |" + }, + { + "from": "human", + "value": "According to the shown table image, what is the value of the cell positioned in the 3rd row and the 1st column of the table? Format the cell value as a JSON, using the structure {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"\"}." + }, + { + "from": "gpt", + "value": "The target cell value in the 3rd row and the 1st column is {\"row_id\":\"3\", \"column_id\":\"1\", \"cell_value\":\"Current year\"}." + }, + { + "from": "human", + "value": "Analyze the provided table. What is the answer to the upcoming query? Return the final result as JSON in the format {\"answer\": []}.\nQuestion: What was the average income tax credit / (charge) for 2017/18 and 2018/19?" + }, + { + "from": "gpt", + "value": "To answer the given question, we need to conduct the following computations:\n(8.9 - 13.7) / 2 = -2.4\nTherefore, the final answer is {\"answer\": [\"-2.4\"]}." + }, + { + "from": "human", + "value": "Based on the table image, your task is to extract the cells' values in the 7th row. Output the cell values in a row as JSON in the format {\"row_id\":\"\", \"cell_list\":\"\"}, e.g., {\"row_id\":\"3\", \"cell_list\": [\"123.89\", \"News gathering\", \"selected tools\"]}." + }, + { + "from": "gpt", + "value": "The target cell values of the 7th row: {\"row_id\": \"7\", \"cell_list\": ['– Adjustment to restate opening deferred tax at 17.0%', '–', '(2.3)', '2.3']}" + }, + { + "from": "human", + "value": "Read the table to answer the following questions. Present the final answer as JSON in the format {\"answer\": []}.\nWhat was the average deferred tax for 2017/18 and 2018/19?" + }, + { + "from": "gpt", + "value": "Based on the given table:\n(6.1 - 4.1) / 2 = 1\nTherefore, the answer is {\"answer\": [\"1\"]}." + }, + { + "from": "human", + "value": "Give you a table.\nShow your answer to the following question:\nWhat was the percentage change in the overseas current tax from 2017/18 to 2018/19?\nIn the end, output your final answer using the JSON: {\"answer\": []}." + }, + { + "from": "gpt", + "value": "Based on the given table:\n1.1 / 0.8 - 1 = 37.5\nTherefore, the answer is {\"answer\": [\"37.5\"]}." + }, + { + "from": "human", + "value": "This is a table picture. Can you figure out the row and column numbers for this particular table? Provide the final answer in the JSON structure, using the format {\"row_number\": \"m\", \"column_number\": \"n\"}." + }, + { + "from": "gpt", + "value": "There are 8 rows and 4 columns in the table. So, the final answer is {\"row_number\": \"8\", \"column_number\": \"4\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_8049", + "image": "table_instructV/images/TABMWP_27997.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Number of twigs | Number of snails |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | 10 |\n| 6 | ? |" + }, + { + "from": "human", + "value": "Based on the table, solve the following math problem step by step. At the end of your output, present the final answer as JSON in the format {\"answer\": \"\"}.\nEach twig has 2 snails. How many snails are on 6 twigs? (Unit: snails)" + }, + { + "from": "gpt", + "value": "Count by twos. Use the chart: there are 12 snails on 6 twigs.\n\nTherefore, the final answer is {\"answer\": \"12\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_8060", + "image": "table_instructV/images/TabFact_2-14076814-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| games | drawn | lost | points difference | points |\n| --- | --- | --- | --- | --- |\n| 5 | 0 | 1 | 29 - 14 | 8 |\n| 5 | 1 | 1 | 23 - 13 | 7 |\n| 5 | 0 | 2 | 15 - 13 | 6 |\n| 5 | 0 | 3 | 12 - 23 | 4 |\n| 5 | 0 | 3 | 08 - 17 | 4 |\n| 5 | 1 | 4 | 11 - 18 | 1 |" + }, + { + "from": "human", + "value": "Analyze the table picture about '1997 men 's world ice hockey championships' and classify whether the next sentence is entailed or disputed by the table. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\n\nthe table does not show any games listed as less than 5" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the sentence is true. So, the answer is {\"answer\": \"entailed\"}." + }, + { + "from": "human", + "value": "I'm seeking assistance in interpreting the table from this image and converting it into an HTML table presented in text." + }, + { + "from": "gpt", + "value": "\n\n\n\n\n\n\n\n
games drawn lost points difference points
5 0 1 29 - 14 8
5 1 1 23 - 13 7
5 0 2 15 - 13 6
5 0 3 12 - 23 4
5 0 3 08 - 17 4
5 1 4 11 - 18 1
" + } + ] + }, + { + "id": "table_instructV_multi_round_8243", + "image": "table_instructV/images/TabFact_1-23249053-11.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 61 | march 1 | philadelphia | w 126 - 105 (ot) | jameer nelson (22) | vince carter (7) | jameer nelson (10) | wachovia center 15817 | 41 - 20 |\n| 62 | march 3 | golden state | w 117 - 90 (ot) | dwight howard (28) | dwight howard (12) | jameer nelson (4) | amway arena 17461 | 42 - 20 |\n| 63 | march 5 | new jersey | w 97 - 87 (ot) | matt barnes (16) | dwight howard (16) | jameer nelson (8) | izod center 15320 | 43 - 20 |\n| 64 | march 7 | la lakers | w 96 - 94 (ot) | vince carter (25) | dwight howard (16) | jameer nelson (7) | amway arena 17461 | 44 - 20 |\n| 65 | march 9 | la clippers | w 113 - 87 (ot) | dwight howard (22) | dwight howard (15) | jameer nelson (8) | amway arena 17461 | 45 - 20 |\n| 66 | march 11 | chicago | w 111 - 82 (ot) | vince carter (23) | marcin gortat (11) | j j redick , jason williams (4) | amway arena 17461 | 46 - 20 |\n| 67 | march 13 | washington | w 109 - 95 (ot) | dwight howard (28) | dwight howard (15) | jameer nelson (8) | verizon center 20173 | 47 - 20 |\n| 68 | march 14 | charlotte | l 89 - 96 (ot) | dwight howard (27) | dwight howard (16) | vince carter (6) | amway arena 17461 | 47 - 21 |\n| 69 | march 17 | san antonio | w 110 - 84 (ot) | vince carter (24) | marcin gortat (10) | vince carter (8) | amway arena 17461 | 48 - 21 |\n| 70 | march 18 | miami | w 108 - 102 (ot) | vince carter (27) | dwight howard , rashard lewis (11) | vince carter (6) | american airlines arena 18874 | 49 - 21 |\n| 71 | march 22 | philadelphia | w 109 - 93 (ot) | rashard lewis (24) | dwight howard (15) | jameer nelson (6) | wachovia center 13995 | 50 - 21 |\n| 72 | march 24 | atlanta | l 84 - 86 (ot) | jameer nelson (20) | dwight howard (24) | jameer nelson (8) | philips arena 16887 | 50 - 22 |\n| 73 | march 26 | minnesota | w 106 - 97 (ot) | dwight howard (24) | dwight howard (19) | jameer nelson (7) | amway arena 17461 | 51 - 22 |" + }, + { + "from": "human", + "value": "Examine the table image with the title '2009 - 10 orlando magic season', classify whether the statement is confirmed or contradicted based on the table's content and title. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nstatement: when jameer nelson got the high points and high assists the team won one game and lost one game" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the statement is true. So, the answer is {\"answer\": \"confirmed\"}." + }, + { + "from": "human", + "value": "Examine the table with the given title '2009 - 10 orlando magic season' and judge whether the hypothesis is entailed or contradicted based on the table's content. Show your final answer in the JSON format {\"answer\": \"\"}.\namway arena recorded a different attendance for each game played there" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the hypothesis is not valid. Hence, the answer is {\"answer\": \"contradicted\"}." + }, + { + "from": "human", + "value": "Table title: 2009 - 10 orlando magic season\nhypothesis: dwight howard got the high points and high rebounds on games 67 and 68\nPlease distinguish whether the above hypothesis is substantiated or contradicted by the table information. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the hypothesis is valid. Hence, the answer is {\"answer\": \"substantiated\"}." + }, + { + "from": "human", + "value": "In this task, you are given a table with its title '2009 - 10 orlando magic season', your goal is to distinguish whether this table substantiates or contradicts the sentence. Show your final answer in the JSON format {\"answer\": \"\"}.\nwhen jameer nelson got the high points and high assists the team lost one game and won two games" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the sentence is false. Consequently, the answer is {\"answer\": \"contradicts\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_8383", + "image": "table_instructV/images/TabFact_1-20877272-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | club | played | won | drawn | lost | points for | points against | difference | points |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | asv köln rugby | 16 | 12 | 2 | 2 | 484 | 118 | 366 | 41 |\n| 2 | stuttgarter rc | 16 | 13 | 1 | 2 | 339 | 190 | 149 | 39 |\n| 3 | tsv handschuhsheim ii | 16 | 10 | 0 | 6 | 377 | 276 | 101 | 35 |\n| 4 | sc 1880 frankfurt ii | 16 | 8 | 1 | 7 | 415 | 245 | 170 | 33 |\n| 5 | münchen rfc | 16 | 7 | 2 | 7 | 261 | 282 | - 21 | 31 |\n| 6 | stusta münchen | 16 | 5 | 1 | 10 | 238 | 405 | - 167 | 27 |\n| 7 | heidelberger tv | 16 | 5 | 0 | 11 | 253 | 377 | - 124 | 26 |\n| 8 | rg heidelberg ii | 16 | 5 | 0 | 11 | 274 | 440 | - 166 | 25 |" + }, + { + "from": "human", + "value": "Examine the table titled '2007 - 08 rugby - bundesliga' and judge whether the table supports or contradicts the following claim. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nthe most points lost was eleven , by two teams , heidelberger tv and rg heidelberg ii" + }, + { + "from": "gpt", + "value": "Based on the table, the claim holds true. Thus, the final answer is {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "Examine the table titled '2007 - 08 rugby - bundesliga' and judge whether the table supports or contradicts the following statement. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nthe highest ranked team , asv köln rugby , had 16 more points then the lowest , rg heidelberg ii" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the statement. Consequently, the answer is {\"answer\": \"supports\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_8387", + "image": "table_instructV/images/TABMWP_19325.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Option | Change in phone price |\n| --- | --- |\n| Add an upgrade | $60 |\n| Buy a used phone | -$75 |" + }, + { + "from": "human", + "value": "Solve this math word problem based on the given table image. Output the final answer as JSON in the format {\"answer\": \"\"}.\nJanet is looking at the price of new cell phones online. Her favorite company, OrangeTech, has a special this weekend. Janet can add an upgrade to a phone for an additional cost, or she can buy a used phone to get a discount. The change in price for each option is shown in the table. Which option results in a greater change in price? (A) adding an upgrade (B) buying a used phone" + }, + { + "from": "gpt", + "value": "To find the option that results in a greater change in price, use absolute value. Absolute value tells you how much the price changes.\nAdd an upgrade: |$60| = $60\nBuy a used phone: |-$75| = $75\nBuying a used phone results in a greater change in price. It reduces the price by $75.\n\nTherefore, the final answer is {\"answer\": \"buying a used phone\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_8422", + "image": "table_instructV/images/Rotowire_train_table_1359.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Heat | Miami | 91 | 25 | 25 | 19 | 22 | 20 | 51 | 22 | 46 | 47 | 21 | 6 | 4 | | | | |\n| Timberwolves | Minnesota | 103 | 20 | 25 | 17 | 41 | 14 | 54 | 8 | 37 | 77 | 19 | 5 | 6 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Hassan Whiteside | 34 | 22 | 14 | 0 | 10-14 | 71% | 0-0 | 0% | 2-9 | 22% | 0 | 4 | 10 | 4 | 10 | 2 | C | Miami |\n| Luol Deng | 33 | 20 | 6 | 1 | 8-14 | 57% | 3-8 | 38% | 1-3 | 33% | 0 | 0 | 1 | 0 | 6 | 2 | F | Miami |\n| Goran Dragic | 36 | 16 | 2 | 9 | 5-12 | 42% | 1-4 | 25% | 5-7 | 71% | 1 | 2 | 0 | 0 | 2 | 6 | G | Miami |\n| Chris Bosh | 32 | 10 | 7 | 0 | 5-12 | 42% | 0-5 | 0% | 0-0 | 0% | 0 | 1 | 1 | 2 | 5 | 2 | F | Miami |\n| Dwyane Wade | 32 | 10 | 2 | 6 | 5-13 | 39% | 0-1 | 0% | 0-0 | 0% | 1 | 5 | 0 | 1 | 1 | 1 | G | Miami |\n| Justise Winslow | 31 | 8 | 11 | 1 | 1-2 | 50% | 1-2 | 50% | 5-10 | 50% | 1 | 6 | 0 | 1 | 10 | 5 | N/A | Miami |\n| Tyler Johnson | 18 | 3 | 2 | 1 | 1-6 | 17% | 0-2 | 0% | 1-1 | 100% | 0 | 1 | 0 | 1 | 1 | 2 | N/A | Miami |\n| Gerald Green | 12 | 2 | 4 | 1 | 1-5 | 20% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 3 | 3 | N/A | Miami |\n| Josh McRoberts | 12 | 0 | 3 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 0 | 0 | 3 | 3 | N/A | Miami |\n| Amar'e Stoudemire | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Beno Udrih | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Udonis Haslem | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Josh Richardson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Andrew Wiggins | 33 | 24 | 3 | 1 | 8-21 | 38% | 0-1 | 0% | 8-11 | 73% | 3 | 1 | 1 | 2 | 1 | 1 | G | Minnesota |\n| Zach LaVine | 28 | 17 | 4 | 3 | 5-12 | 42% | 2-5 | 40% | 5-6 | 83% | 1 | 0 | 0 | 0 | 4 | 0 | N/A | Minnesota |\n| Shabazz Muhammad | 20 | 16 | 0 | 2 | 6-8 | 75% | 2-3 | 67% | 2-2 | 100% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Minnesota |\n| Karl-Anthony Towns | 26 | 14 | 14 | 0 | 6-12 | 50% | 0-0 | 0% | 2-2 | 100% | 2 | 4 | 1 | 5 | 9 | 4 | C | Minnesota |\n| Kevin Martin | 23 | 8 | 4 | 0 | 2-11 | 18% | 0-4 | 0% | 4-4 | 100% | 1 | 0 | 0 | 1 | 3 | 1 | N/A | Minnesota |\n| Adreian Payne | 17 | 8 | 4 | 0 | 4-7 | 57% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 3 | 4 | N/A | Minnesota |\n| Ricky Rubio | 27 | 7 | 4 | 3 | 1-7 | 14% | 0-2 | 0% | 5-8 | 63% | 2 | 1 | 1 | 1 | 3 | 5 | G | Minnesota |\n| Gorgui Dieng | 22 | 5 | 6 | 1 | 2-8 | 25% | 0-0 | 0% | 1-2 | 50% | 2 | 1 | 0 | 2 | 4 | 4 | N/A | Minnesota |\n| Kevin Garnett | 15 | 4 | 7 | 2 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 6 | 1 | F | Minnesota |\n| Tayshaun Prince | 13 | 0 | 4 | 2 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 2 | 2 | 2 | F | Minnesota |\n| Nemanja Bjelica | 16 | 0 | 4 | 0 | 0-7 | 0% | 0-5 | 0% | 0-0 | 0% | 0 | 0 | 2 | 0 | 4 | 3 | N/A | Minnesota |\n| Andre Miller | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Damjan Rudez | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |" + }, + { + "from": "human", + "value": "This picture shows data records of an NBA game on 2015-11-17. Utilizing these data to output a detailed game summary." + }, + { + "from": "gpt", + "value": "The Minnesota Timberwolves (5-6) defeated the Miami Heat (6-4) 103-91 on Tuesday. A quick glance at Tuesday’s box score for each team’s starting five belies the end result of a Timberwolves victory. The Heat enjoyed double-digit scoring performances from each of their starters, including a double-double from Hassan Whiteside. Meanwhile, while only Andrew Wiggins and rookie sensation Karl Anthony-Towns were able to muster significant offense for Minnesota’s first group, the Timbewolves managed to outscore Miami 41-22 in the final period to emerge with an impressive double-digit road victory. Wiggins’ shot was falling Tuesday, and the second-year pro tallied 24 points, three rebounds, an assist, three steals, and a block to lead the Timberwolves’ charge. After falling a rebound short of a double-double the last two games, Towns burst through that barrier with a 14-point, 14-rebound performance against Hassan Whiteside. Shabazz Muhammad contributed another productive outing from the bench with an efficient 16 points over 20 minutes, while Zach LaVine continued to impress regardless of playing time with 17 points, four rebounds, three assists, and a steal over 28 minutes. The Timberwolves currently reside in third place in the Western Conference’s Northwest Division. They travel up to Orlando for a date with the Magic on Wednesday. Not to be outdone by Towns, Whiteside posted 22 points and 10 rebounds over 34 minutes. He joined in the “20 and Over” club by Luol Deng (20 points, six rebounds, an assist, and a block), whose scoring marked a season best. However, stalwarts Chris Bosh and Dwyane Wade could only muster 10 points apiece against a Timberwolves defense that came into the contest near the bottom of the league in points allowed per game, significantly hindering Miami’s chances for a win on their home court. The Heat fell to 6-4 and remain in second place in the Eastern Conference’s Southeast Division. The remain home for a date versus Sacramento on Thursday." + }, + { + "from": "human", + "value": "Retrieve the cell contents in column 2 of this table. The cells in a column should be presented in the JSON format of {\"column_id\":\"\", \"cell_list\":\"\"}, e.g., {\"column_id\":\"3\", \"cell_list\": [\"xxx\", \"yyy\", \"zzz\"]}." + }, + { + "from": "gpt", + "value": "The cells in column 2: {\"column_id\": \"2\", \"cell_list\": ['CITY', 'Miami', 'Minnesota', '', 'MIN', '', '34', '33', '36', '32', '32', '31', '18', '12', '12', 'N/A', 'N/A', 'N/A', 'N/A', '', '33', '28', '20', '26', '23', '17', '27', '22', '15', '13', '16', 'N/A', 'N/A']}" + } + ] + }, + { + "id": "table_instructV_multi_round_8441", + "image": "table_instructV/images/Rotowire_train_table_2948.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kings | Sacramento | 106 | 25 | 29 | 31 | 21 | 24 | 31 | 13 | 46 | 76 | 35 | 2 | 1 | | | | |\n| Timberwolves | Minnesota | 103 | 34 | 31 | 12 | 26 | 19 | 36 | 11 | 53 | 71 | 32 | 0 | 2 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Kings | | | | | | | | | | | | | | | | | | |\n| DeMarcus Cousins | 33 | 29 | 7 | 4 | 9-16 | 56% | 0-2 | 0% | 11-14 | 79% | 1 | 3 | 0 | 5 | 2 | 6 | F | Sacramento |\n| Rudy Gay | 33 | 28 | 6 | 2 | 11-20 | 55% | 0-0 | 0% | 6-8 | 75% | 1 | 2 | 2 | 2 | 4 | 3 | F | Sacramento |\n| Ben McLemore | 18 | 13 | 0 | 0 | 5-10 | 50% | 2-4 | 50% | 1-1 | 100% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Sacramento |\n| Matt Barnes | 27 | 12 | 5 | 9 | 4-10 | 40% | 3-6 | 50% | 1-2 | 50% | 1 | 2 | 1 | 0 | 5 | 4 | N/A | Sacramento |\n| Ty Lawson | 34 | 8 | 1 | 5 | 3-10 | 30% | 2-5 | 40% | 0-0 | 0% | 3 | 2 | 0 | 0 | 1 | 2 | G | Sacramento |\n| Arron Afflalo | 30 | 5 | 0 | 2 | 2-6 | 33% | 1-4 | 25% | 0-0 | 0% | 0 | 0 | 1 | 0 | 0 | 2 | G | Sacramento |\n| Kosta Koufos | 20 | 4 | 7 | 0 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 3 | 4 | 3 | C | Sacramento |\n| Willie Cauley-Stein | 8 | 4 | 0 | 0 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Sacramento |\n| Garrett Temple | 14 | 3 | 0 | 0 | 1-3 | 33% | 1-3 | 33% | 0-0 | 0% | 0 | 1 | 1 | 0 | 0 | 0 | N/A | Sacramento |\n| Anthony Tolliver | 13 | 0 | 2 | 2 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 1 | N/A | Sacramento |\n| Omri Casspi | 10 | 0 | 3 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 1 | N/A | Sacramento |\n| Darren Collison | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Malachi Richardson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Andrew Wiggins | 37 | 29 | 1 | 0 | 10-20 | 50% | 1-5 | 20% | 8-11 | 73% | 1 | 3 | 1 | 0 | 1 | 2 | F | Minnesota |\n| Zach LaVine | 37 | 21 | 5 | 2 | 7-14 | 50% | 3-7 | 43% | 4-4 | 100% | 0 | 1 | 0 | 0 | 5 | 3 | G | Minnesota |\n| Karl-Anthony Towns | 37 | 15 | 6 | 4 | 7-12 | 58% | 1-2 | 50% | 0-2 | 0% | 2 | 1 | 1 | 2 | 4 | 5 | C | Minnesota |\n| Gorgui Dieng | 35 | 14 | 13 | 2 | 5-9 | 56% | 0-1 | 0% | 4-4 | 100% | 0 | 1 | 2 | 4 | 9 | 4 | F | Minnesota |\n| Shabazz Muhammad | 11 | 9 | 1 | 1 | 3-3 | 100% | 0-0 | 0% | 3-3 | 100% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Minnesota |\n| Brandon Rush | 12 | 5 | 1 | 0 | 2-3 | 67% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Minnesota |\n| Ricky Rubio | 28 | 5 | 1 | 5 | 2-4 | 50% | 0-1 | 0% | 1-1 | 100% | 3 | 1 | 0 | 0 | 1 | 3 | G | Minnesota |\n| Kris Dunn | 20 | 4 | 1 | 4 | 1-2 | 50% | 1-1 | 100% | 1-4 | 25% | 0 | 1 | 0 | 0 | 1 | 2 | N/A | Minnesota |\n| Nemanja Bjelica | 13 | 1 | 2 | 1 | 0-3 | 0% | 0-3 | 0% | 1-2 | 50% | 0 | 2 | 1 | 0 | 2 | 3 | N/A | Minnesota |\n| Cole Aldrich | 12 | 0 | 5 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 4 | 3 | N/A | Minnesota |\n| Tyus Jones | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Jordan Hill | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Adreian Payne | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |" + }, + { + "from": "human", + "value": "From the data presented in the box-score and line-score tables of the NBA game between Kings and Timberwolves on 10/29/2016, generate an insightful summary that captures the game's dynamics and key statistics." + }, + { + "from": "gpt", + "value": "The Sacramento Kings won their first game at the Golden One Center, defeating the Minnesota Timberwolves, 106-103, on Saturday. In a game where there was a 29-point swing, the Kings were able to pull out a big comeback. After trailing by 19 at times in the first half, Sacramento prevailed thanks to a 31-12 third quarter. They dominated the Timberwolves in the paint, winning that battle 48-32. Despite shooting 51 percent from the field, Minnesota had 13 less shots than the Kings and struggled getting the 50/50 balls they needed. Andrew Wiggins scored a season-high 29 points in the defeat, going 10-for-19 from the field. He did struggle to do much else though, as he recorded just one rebound and one block aside from his 29 points. Zach LaVine was second on the team, dropping 21 points and grabbing five boards. Gorgui Dieng double-doubled in the loss, totaling 14 points and 13 rebounds, dealing with foul trouble in the second half. The bench combined for just 19 points, with five players playing at least 11 minutes a piece. DeMarcus Cousins and Rudy Gay continue to carry the Kings, as they combined for 57 of the teams 106 points in Saturday 's win. Cousins led the team, tallying 29 points, seven rebounds and four assists before fouling out in the final minutes. Gay finished with 28 points, adding five rebounds, and two blocks. The only other players in double figures were Matt Barnes and Ben McLemore, who scored 25 combined points off the bench. Barnes was a huge spark, adding nine assists and five rebounds to his 12 points. Sacramento 's next game is in Atlanta against the Hawks on Monday, while the Timberwolves host the Memphis Grizzlies on Tuesday for their next fixture." + } + ] + }, + { + "id": "table_instructV_multi_round_8473", + "image": "table_instructV/images/TABMWP_19144.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Dog | Weight change (oz.) |\n| --- | --- |\n| Sprinkles | 5 |\n| Champ | -6 |" + }, + { + "from": "human", + "value": "According to the table, solve this problem and give detail solutions. Format the ultimate answer as a JSON, using the structure {\"answer\": \"\"}.\n\nSimon has two dogs, Sprinkles and Champ. He is concerned because Sprinkles keeps eating Champ's food. Simon asks their vet how much each dog's weight has changed since their last visit. Which dog's weight has changed the most? (A) Sprinkles (B) Champ" + }, + { + "from": "gpt", + "value": "To find which dog's weight changed the most, use absolute value. Absolute value tells you how much each dog's weight has changed.\nSprinkles: |5| = 5\nChamp: |-6| = 6\nChamp's weight has changed the most. He has lost 6 ounces.\n\nTherefore, the final answer is {\"answer\": \"Champ\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_8478", + "image": "table_instructV/images/TabFact_2-18409087-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| game | date | opponent | score | location / attendance | record |\n| --- | --- | --- | --- | --- | --- |\n| 38 | january 2 | chicago | 106 - 88 | chicago stadium | 23 - 15 |\n| 39 | january 3 | detroit | 128 - 106 | cobo arena | 24 - 15 |\n| 40 | january 4 | la lakers | 111 - 121 | alexander memorial coliseum | 24 - 16 |\n| 41 | january 5 | phoenix | 97 - 96 | alexander memorial coliseum | 25 - 16 |\n| 42 | january 8 | philadelphia | 111 - 112 | the spectrum | 25 - 17 |\n| 43 | january 10 | detroit | 104 - 101 | alexander memorial coliseum | 26 - 17 |\n| 44 | january 11 | la lakers | 104 - 100 | alexander memorial coliseum | 27 - 17 |\n| 45 | january 16 | phoenix | 112 - 107 | columbia , sc | 28 - 17 |\n| 46 | january 17 | phoenix | 112 - 107 | alexander memorial coliseum | 29 - 17 |\n| 47 | january 19 | new york | 100 - 96 | alexander memorial coliseum | 30 - 17 |\n| 48 | january 21 | san diego | 113 - 124 | san diego sports arena | 30 - 18 |\n| 49 | january 22 | phoenix | 125 - 107 | arizona veterans memorial coliseum | 31 - 18 |\n| 50 | january 24 | la lakers | 110 - 106 | alexander memorial coliseum | 32 - 18 |\n| 51 | january 25 | baltimore | 112 - 109 | baltimore civic center | 33 - 18 |\n| 52 | january 26 | philadelphia | 115 - 119 | alexander memorial coliseum | 33 - 19 |\n| 53 | january 28 | boston | 96 - 108 | boston garden | 33 - 20 |\n| 54 | january 29 | philadelphia | 96 - 119 | the spectrum | 33 - 21 |\n| 55 | january 31 | seattle | 112 - 119 | alexander memorial coliseum | 33 - 22 |" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table with its caption '1968 - 69 atlanta hawks season', the goal is to distinguish whether the following statement is affirmed or contradicted by the table. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\na game sooner than 47 was played against phoenix with a record of 29 - 17" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the statement. Hence, the answer is {\"answer\": \"affirmed\"}." + }, + { + "from": "human", + "value": "According to the table information regarding '1968 - 69 atlanta hawks season', tell me whether the provided table confirms or contradicts the statement. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nthe highest score against phoenix is 112 - 107" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the statement is false. Consequently, the answer is {\"answer\": \"contradicts\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_8495", + "image": "table_instructV/images/TABMWP_258.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of trays | Number of jelly donuts |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | 20 |\n| 5 | 25 |\n| 6 | ? |" + }, + { + "from": "human", + "value": "Answer the following question based on the table information. Let's think step by step. At the end of your output, present the final answer as JSON in the format {\"answer\": \"\"}.\nEach tray has 5 jelly donuts. How many jelly donuts are on 6 trays? (Unit: jelly donuts)" + }, + { + "from": "gpt", + "value": "Count by fives. Use the chart: there are 30 jelly donuts on 6 trays.\n\nThus, the final answer is {\"answer\": \"30\"}." + }, + { + "from": "human", + "value": "Inspect the given table and provide the contents of specific rows or columns. Represent the cells in a row or a column with the JSON format {\"row_id/column_id\":\"\", \"cell_list\":\"\"}. For instance, {\"row_id\":\"5\", \"cell_list\": [\"13\", \"england\", \"2023-1201\"]}.\nNeeded rows or columns:\ncolumn 1,\nrow 3,\nrow 2,\nrow 7," + }, + { + "from": "gpt", + "value": "The cell values of target rows or columns are as follows:\nFor column 1: {\"column_id\": \"1\", \"cell_list\": ['Number of trays', '1', '2', '3', '4', '5', '6']}\nFor row 3: {\"row_id\": \"3\", \"cell_list\": ['2', '10']}\nFor row 2: {\"row_id\": \"2\", \"cell_list\": ['1', '5']}\nFor row 7: {\"row_id\": \"7\", \"cell_list\": ['6', '?']}" + } + ] + }, + { + "id": "table_instructV_multi_round_8543", + "image": "table_instructV/images/TABMWP_8657.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $670 | 17,600 | 10,500 |\n| $860 | 14,300 | 13,400 |\n| $1,050 | 11,000 | 16,300 |\n| $1,240 | 7,700 | 19,200 |\n| $1,430 | 4,400 | 22,100 |" + }, + { + "from": "human", + "value": "View the table, then figure out the solution to this math problem. The concluding answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nProblem: Look at the table. Then answer the question. At a price of $1,240, is there a shortage or a surplus? (A) shortage (B) surplus\nYour solution:" + }, + { + "from": "gpt", + "value": "At the price of $1,240, the quantity demanded is less than the quantity supplied. There is too much of the good or service for sale at that price. So, there is a surplus.\n\n\nTherefore, the final answer is {\"answer\": \"surplus\"}." + }, + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the HTML-format in text." + }, + { + "from": "gpt", + "value": "\n\n\n\n\n\n\n
Price Quantity demanded Quantity supplied
$670 17,600 10,500
$860 14,300 13,400
$1,050 11,000 16,300
$1,240 7,700 19,200
$1,430 4,400 22,100
" + } + ] + }, + { + "id": "table_instructV_multi_round_8680", + "image": "table_instructV/images/ToTTo_train_table_9874.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| No. | Date | Tournament | Winning score | Margin of victory | Runner(s)-up |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 12 May 1996 | Peugeot Spanish Open | −16 (70-64-67-71=272) | 4 strokes | Scotland Gordon Brand Jnr |\n| 2 | 2 Apr 2000 | Brazil São Paulo 500 Years Open | −14 (69-68-65-68=270) | 2 strokes | United States Gerry Norquist |\n| 3 | 22 Oct 2000 | BBVA Open Turespaña Masters Comunidad de Madrid | −21 (67-64-66-70=267) | 2 strokes | Scotland Gary Orr |\n| 4 | 11 Nov 2001 | Volvo Masters Andalucia | −12 (67-71-66=204) | 1 stroke | Republic of Ireland Paul McGinley |\n| 5 | 6 Oct 2002 | Dunhill Links Championship | −19 (66-66-68-69=269) | Playoff | Argentina Eduardo Romero |\n| 6 | 24 Nov 2002 (2003 season) | BMW Asian Open1 | −15 (66-70-68-69=273) | 1 stroke | India Jyoti Randhawa |\n| 7 | 18 May 2003 | Deutsche Bank - SAP Open TPC of Europe | −19 (65-66-70-68=269) | Playoff | Denmark Thomas Bjørn |\n| 8 | 7 Dec 2003 (2004 season) | Omega Hong Kong Open1 | −13 (66-75-64-70=275) | 1 stroke | South Africa Hennie Otto |\n| 9 | 12 Sep 2004 | Linde German Masters | −11 (67-69-67-66=269) | 3 strokes | Australia Nick O'Hern |\n| 10 | 8 Oct 2006 | Alfred Dunhill Links Championship (2) | −17 (66-69-68-68=271) | 5 strokes | Wales Bradley Dredge, United States Edward Loar, England Anthony Wall |\n| 11 | 20 May 2007 | Irish Open | −5 (73-68-71-71=283) | Playoff | Wales Bradley Dredge |\n| 12 | 22 Jul 2007 | The Open Championship | −7 (69-73-68-67=277) | Playoff | Spain Sergio García |\n| 13 | 20 Jul 2008 | The Open Championship (2) | +3 (74-68-72-69=283) | 4 strokes | England Ian Poulter |\n| 14 | 10 Aug 2008 | PGA Championship | −3 (71-74-66-66=277) | 2 strokes | Spain Sergio García, United States Ben Curtis |\n| 15 | 23 Oct 2016 | Portugal Masters | −23 (66-63-67-65=261) | 1 stroke | England Andy Sullivan |" + }, + { + "from": "human", + "value": "Watch this table and show a latex-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|c|}\n\\hline\n No. & Date & Tournament & Winning score & Margin of victory & Runner(s)-up \\\\\n\\hline\n 1 & 12 May 1996 & Peugeot Spanish Open & −16 (70-64-67-71=272) & 4 strokes & Scotland Gordon Brand Jnr \\\\\n\\hline\n 2 & 2 Apr 2000 & Brazil São Paulo 500 Years Open & −14 (69-68-65-68=270) & 2 strokes & United States Gerry Norquist \\\\\n\\hline\n 3 & 22 Oct 2000 & BBVA Open Turespaña Masters Comunidad de Madrid & −21 (67-64-66-70=267) & 2 strokes & Scotland Gary Orr \\\\\n\\hline\n 4 & 11 Nov 2001 & Volvo Masters Andalucia & −12 (67-71-66=204) & 1 stroke & Republic of Ireland Paul McGinley \\\\\n\\hline\n 5 & 6 Oct 2002 & Dunhill Links Championship & −19 (66-66-68-69=269) & Playoff & Argentina Eduardo Romero \\\\\n\\hline\n 6 & 24 Nov 2002 (2003 season) & BMW Asian Open1 & −15 (66-70-68-69=273) & 1 stroke & India Jyoti Randhawa \\\\\n\\hline\n 7 & 18 May 2003 & Deutsche Bank - SAP Open TPC of Europe & −19 (65-66-70-68=269) & Playoff & Denmark Thomas Bjørn \\\\\n\\hline\n 8 & 7 Dec 2003 (2004 season) & Omega Hong Kong Open1 & −13 (66-75-64-70=275) & 1 stroke & South Africa Hennie Otto \\\\\n\\hline\n 9 & 12 Sep 2004 & Linde German Masters & −11 (67-69-67-66=269) & 3 strokes & Australia Nick O'Hern \\\\\n\\hline\n 10 & 8 Oct 2006 & Alfred Dunhill Links Championship (2) & −17 (66-69-68-68=271) & 5 strokes & Wales Bradley Dredge, United States Edward Loar, England Anthony Wall \\\\\n\\hline\n 11 & 20 May 2007 & Irish Open & −5 (73-68-71-71=283) & Playoff & Wales Bradley Dredge \\\\\n\\hline\n 12 & 22 Jul 2007 & The Open Championship & −7 (69-73-68-67=277) & Playoff & Spain Sergio García \\\\\n\\hline\n 13 & 20 Jul 2008 & The Open Championship (2) & +3 (74-68-72-69=283) & 4 strokes & England Ian Poulter \\\\\n\\hline\n 14 & 10 Aug 2008 & PGA Championship & −3 (71-74-66-66=277) & 2 strokes & Spain Sergio García, United States Ben Curtis \\\\\n\\hline\n 15 & 23 Oct 2016 & Portugal Masters & −23 (66-63-67-65=261) & 1 stroke & England Andy Sullivan \\\\\n\\hline\n\\end{tabular}" + }, + { + "from": "human", + "value": "Examine the following Wikipedia table, which is titled 'Pádraig Harrington' and its section is titled 'European Tour wins (15)'. \nThe surrounded text of the table is: '¹ Co-sanctioned with the Asian Tour European Tour playoff record (4–4)'\nBased on the information from the table and its metadata, create a single sentence that summarizes the highlighted table cells." + }, + { + "from": "gpt", + "value": "Pádraig Harrington´s three under par 277 was two shots ahead of Sergio García and Ben Curtis." + } + ] + }, + { + "id": "table_instructV_multi_round_8717", + "image": "table_instructV/images/TabFact_2-14609625-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | game site | record | attendance |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | september 3 , 2000 | carolina panthers | w 20 - 17 | fedex field | 1 - 0 | 80257 |\n| 2 | september 10 , 2000 | detroit lions | l 15 - 10 | pontiac silverdome | 1 - 1 | 74159 |\n| 3 | september 18 , 2000 | dallas cowboys | l 27 - 21 | fedex field | 1 - 2 | 84431 |\n| 4 | september 24 , 2000 | new york giants | w 16 - 6 | giants stadium | 2 - 2 | 78216 |\n| 5 | october 1 , 2000 | tampa bay buccaneers | w 20 - 17 | fedex field | 3 - 2 | 83532 |\n| 6 | october 8 , 2000 | philadelphia eagles | w 17 - 14 | veterans stadium | 4 - 2 | 65491 |\n| 7 | october 15 , 2000 | baltimore ravens | w 10 - 3 | fedexfield | 5 - 2 | 83252 |\n| 8 | october 22 , 2000 | jacksonville jaguars | w 35 - 16 | alltel stadium | 6 - 2 | 69061 |\n| 9 | october 30 , 2000 | tennessee titans | l 27 - 21 | fedex field | 6 - 3 | 83472 |\n| 10 | november 5 , 2000 | arizona cardinals | l 16 - 15 | sun devil stadium | 6 - 4 | 52244 |\n| 11 | - | - | - | - | - | |\n| 12 | november 20 , 2000 | st louis rams | w 33 - 20 | trans world dome | 7 - 4 | 66087 |\n| 13 | november 26 , 2000 | philadelphia eagles | l 23 - 20 | fedex field | 7 - 5 | 83284 |\n| 14 | december 3 , 2000 | new york giants | l 9 - 7 | fedex field | 7 - 6 | 83485 |\n| 15 | december 10 , 2000 | dallas cowboys | l 32 - 13 | texas stadium | 7 - 7 | 63467 |\n| 16 | december 16 , 2000 | pittsburgh steelers | l 24 - 3 | three rivers stadium | 7 - 8 | 58183 |\n| 17 | december 24 , 2000 | arizona cardinals | w 20 - 3 | fedex field | 8 - 8 | 65711 |" + }, + { + "from": "human", + "value": "Table title: 2000 washington redskins season\nhypothesis: on week 3 at the fedex field the attendance was 84431\nPlease distinguish whether the above hypothesis is confirmed or refuted by the table information. The final result should be presented in the JSON format of {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the hypothesis is valid. Hence, the answer is {\"answer\": \"confirmed\"}." + }, + { + "from": "human", + "value": "claim: during week 3 , the fedex field had an attendance of 84431\nJudge whether the above claim is affirmed or refuted by the given table named '2000 washington redskins season'. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}." + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the claim is true. So, the answer is {\"answer\": \"affirmed\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title '2000 washington redskins season', and determine whether the table entails or conflicts with the given claim. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nclaim: on week 3 at the fedex field the attendance was less than 84431" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it conflicts with the claim. Hence, the answer is {\"answer\": \"conflicts with\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title '2000 washington redskins season', and determine whether the table upholds or refutes the given claim. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nclaim: dallas cowboys were the opponent on both september 18 , 2000 and september 24 , 2000" + }, + { + "from": "gpt", + "value": "Based on the table, the claim can not hold true. Thus, the final answer is {\"answer\": \"refutes\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_8834", + "image": "table_instructV/images/Rotowire_train_table_2909.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Timberwolves | Minnesota | 117 | 24 | 34 | 25 | 34 | 23 | 41 | 15 | 56 | 80 | 39 | 13 | 29 | | | | |\n| Suns | Phoenix | 87 | 23 | 25 | 21 | 18 | 16 | 30 | 15 | 43 | 56 | 20 | 13 | 29 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Andrew Wiggins | 28 | 18 | 4 | 4 | 8-13 | 62% | 0-1 | 0% | 2-2 | 100% | 0 | 1 | 0 | 2 | 2 | 2 | G | Minnesota |\n| Ricky Rubio | 24 | 18 | 2 | 3 | 6-11 | 55% | 2-5 | 40% | 4-4 | 100% | 2 | 3 | 0 | 0 | 2 | 3 | G | Minnesota |\n| Gorgui Dieng | 18 | 15 | 6 | 1 | 4-6 | 67% | 0-0 | 0% | 7-7 | 100% | 1 | 3 | 1 | 2 | 4 | 2 | N/A | Minnesota |\n| Karl-Anthony Towns | 26 | 14 | 8 | 1 | 5-8 | 63% | 1-1 | 100% | 3-3 | 100% | 1 | 2 | 3 | 1 | 7 | 2 | C | Minnesota |\n| Kevin Martin | 16 | 11 | 0 | 2 | 3-6 | 50% | 1-3 | 33% | 4-4 | 100% | 0 | 0 | 0 | 0 | 0 | 3 | N/A | Minnesota |\n| Zach LaVine | 24 | 11 | 3 | 3 | 3-6 | 50% | 2-4 | 50% | 3-4 | 75% | 4 | 0 | 0 | 1 | 2 | 2 | N/A | Minnesota |\n| Shabazz Muhammad | 26 | 11 | 8 | 0 | 4-10 | 40% | 0-3 | 0% | 3-6 | 50% | 0 | 2 | 0 | 1 | 7 | 3 | N/A | Minnesota |\n| Tayshaun Prince | 27 | 6 | 4 | 3 | 3-3 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 2 | 0 | 4 | 1 | F | Minnesota |\n| Nemanja Bjelica | 23 | 6 | 2 | 3 | 1-1 | 100% | 1-1 | 100% | 3-4 | 75% | 0 | 2 | 1 | 0 | 2 | 5 | N/A | Minnesota |\n| Nikola Pekovic | 7 | 4 | 0 | 0 | 1-2 | 50% | 0-0 | 0% | 2-4 | 50% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Minnesota |\n| Adreian Payne | 3 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Minnesota |\n| Andre Miller | 4 | 1 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Minnesota |\n| Kevin Garnett | 15 | 0 | 3 | 2 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 2 | 0 | 0 | 1 | 2 | 2 | F | Minnesota |\n| Suns | | | | | | | | | | | | | | | | | | |\n| Brandon Knight | 39 | 20 | 2 | 1 | 9-20 | 45% | 2-5 | 40% | 0-0 | 0% | 0 | 6 | 0 | 0 | 2 | 4 | G | Phoenix |\n| Markieff Morris | 34 | 17 | 5 | 3 | 7-12 | 58% | 0-2 | 0% | 3-5 | 60% | 3 | 2 | 0 | 1 | 4 | 5 | F | Phoenix |\n| Devin Booker | 27 | 11 | 0 | 0 | 4-8 | 50% | 0-0 | 0% | 3-4 | 75% | 0 | 0 | 0 | 0 | 0 | 4 | G | Phoenix |\n| Tyson Chandler | 24 | 8 | 8 | 0 | 3-4 | 75% | 0-0 | 0% | 2-4 | 50% | 0 | 1 | 0 | 4 | 4 | 2 | C | Phoenix |\n| Jon Leuer | 21 | 8 | 5 | 0 | 3-7 | 43% | 0-2 | 0% | 2-4 | 50% | 0 | 1 | 0 | 0 | 5 | 4 | N/A | Phoenix |\n| TJ Warren | 21 | 7 | 2 | 1 | 3-6 | 50% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 2 | 2 | 0 | 3 | N/A | Phoenix |\n| PJ Tucker | 29 | 4 | 7 | 5 | 1-7 | 14% | 0-1 | 0% | 2-4 | 50% | 1 | 1 | 0 | 2 | 5 | 2 | F | Phoenix |\n| Lorenzo Brown | 9 | 4 | 0 | 1 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 1 | N/A | Phoenix |\n| Archie Goodwin | 6 | 4 | 0 | 0 | 1-3 | 33% | 1-1 | 100% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Phoenix |\n| Sonny Weems | 16 | 2 | 0 | 3 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 0 | 0 | 1 | N/A | Phoenix |\n| Mirza Teletovic | 14 | 2 | 1 | 2 | 1-7 | 14% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Phoenix |\n| Alex Len | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |" + }, + { + "from": "human", + "value": "This image shows the box-score table and the line-score table of an NBA game between Timberwolves and Suns on 17/01/2016. Write a detailed game summary based on the data statistics." + }, + { + "from": "gpt", + "value": "The Phoenix Suns (13-29) saw their woes continue on Sunday after being blown out 117-87 by the Minnesota Timberwolves (13-29). While the Suns' slide continued, the Timberwolves were able to turn their recent bad luck around. Coming into Sunday 's matchup, the Wolves had dropped 13 of their last 14 games. One would not have guessed that based on Sunday 's game, however, as the Timberwolves shot 57 percent from the field while out-rebounding the Suns 41-30. The Wolves also had a huge advantage at the free-throw line, knocking down 31 of a whopping 40 free-throw attempts as opposed to the Suns' paltry 14 for 25. Minnesota 's pair of first-overall picks shone brightly in just 50 combined minutes, with Andrew Wiggins delivering 18 points to go with four assists and four rebounds and Karl-Anthony Towns going for 14 points, eight rebounds, and three blocks. The Suns now stand in a similar position to Minnesota, having lost 13 of their last 14. Phoenix 's downward spiral has been due in large part to star point guard Eric Bledsoe 's season-ending meniscus injury. The guard was averaging 20 points per game and also sat in the top 10 in the NBA in steals per game prior to his injury. On Sunday, the team simply failed to click on all levels, shooting just 43 percent including a disastrous 20 percent from beyond the arc. Phoenix had major issues with ball movement, racking up just 16 assists on the night. The Suns' next matchup will be against the Indiana Pacers on Tuesday. Minnesota, meanwhile, will travel to New Orleans on Tuesday to take on the Pelicans." + } + ] + }, + { + "id": "table_instructV_multi_round_8963", + "image": "table_instructV/images/TABMWP_28633.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 5 | 4 |\n| 6 | 6 |\n| 7 | 8 |" + }, + { + "from": "human", + "value": "Please solve the problem based on the given image. In the last of your solution, output the final answer as JSON in the format {\"answer\": \"\"}.\nProblem: The table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear\nYour Solution:" + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{6 - 4}{6 - 5}\n = \\frac{2}{1}\n = 2\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the first row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{8 - 4}{7 - 5}\n = \\frac{4}{2}\n = 2\nThe two rates of change are the same.\nIf you checked the rate of change between rows 2 and 3, you would find that it is also 2.\nThis means the rate of change is the same for each pair of points. So, the function has a constant rate of change.\nThe function is linear.\n\nSo, the answer is {\"answer\": \"linear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_9018", + "image": "table_instructV/images/TABMWP_10798.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| | Caffeine-free | Caffeinated |\n| --- | --- | --- |\n| Mint | 3 | 7 |\n| Fruity | 1 | 6 |" + }, + { + "from": "human", + "value": "I need to know the count of rows and columns in this specific table. Output the final answer in the JSON format {\"row_number\": \"m\", \"column_number\": \"n\"}. For instance, if the table has 5 rows and 4 columns, the answer would be {\"row_number\": \"5\", \"column_number\": \"4\"}" + }, + { + "from": "gpt", + "value": "This table has 3 rows and 3 columns. Thus, the final answer is {\"row_number\": \"3\", \"column_number\": \"3\"}." + }, + { + "from": "human", + "value": "With the table image in mind, formulate a detail solution for the math problem. Show specific steps towards the answer. In the end, output your final answer using the JSON format: {\"answer\": \"\"}.\n\nBarry works at a coffee shop on weekends. Every now and then, a customer will order a hot tea and ask Barry to surprise them with the flavor. The teas are categorized by flavor and caffeine level. What is the probability that a randomly selected tea is fruity and caffeinated? Simplify any fractions." + }, + { + "from": "gpt", + "value": "Let A be the event \"the tea is fruity\" and B be the event \"the tea is caffeinated\".\nTo find the probability that a tea is fruity and caffeinated, first identify the sample space and the event.\nThe outcomes in the sample space are the different teas. Each tea is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the tea is fruity and caffeinated\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the tea is fruity and caffeinated\", so look at the table to see how many teas are fruity and caffeinated.\nThe number of teas that are fruity and caffeinated is 6.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of teas.\n3 + 1 + 7 + 6 = 17\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{6}{17}\nThe probability that a tea is fruity and caffeinated is \\frac{6}{17}.\n\nThus, the final answer is {\"answer\": \"6/17\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_9165", + "image": "table_instructV/images/TabFact_1-1507423-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| year | starts | wins | top 5 | top 10 | poles | avg start | avg finish | winnings | position | team (s) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2001 | 3 | 0 | 1 | 1 | 0 | 6.3 | 13.0 | 70266 | 60th | 21 richard childress racing |\n| 2004 | 25 | 1 | 6 | 10 | 0 | 12.8 | 14.7 | 542530 | 21st | 55 robby gordon motorsports |\n| 2005 | 4 | 0 | 1 | 2 | 0 | 11.5 | 19.8 | 148201 | 78th | 55 / 83 robby gordon motorsports |\n| 2006 | 4 | 0 | 2 | 3 | 0 | 19.0 | 13.5 | 114174 | 64th | 7 robby gordon motorsports 88 jr motorsports |\n| 2008 | 4 | 0 | 0 | 0 | 0 | 15.2 | 23.8 | 74720 | 73rd | 22 fitz motorsports 55 robby gordon motorsports |\n| 2009 | 1 | 0 | 0 | 0 | 0 | 3.0 | 14.0 | 16575 | 122nd | 55 robby gordon motorsports |\n| 2010 | 1 | 0 | 0 | 0 | 0 | 16.0 | 14.0 | 26950 | 105th | 07 robby gordon motorsports |" + }, + { + "from": "human", + "value": "Examine the table titled 'robby gordon' and judge whether the table affirms or challenges the following statement. Show your final answer in the JSON format {\"answer\": \"\"}.\nthe highest number of start is 25 and that was with team 55 robby gordon motorsports" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it affirms the statement. Hence, the answer is {\"answer\": \"affirms\"}." + }, + { + "from": "human", + "value": "Determine the relationship between the table and the claim, classify it as supported or challenged. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nTable title: robby gordon\nclaim: 2004 was the only year where wins was more than 0" + }, + { + "from": "gpt", + "value": "According to the table, the claim is supported by the table information. Therefore, the final answer: {\"answer\": \"supported\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_9251", + "image": "table_instructV/images/TabFact_1-29846807-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 9 | december 4 | siena | w 88 - 82 ot | ambrose - 27 | ambrose - 7 | black - 5 | times union center , albany , ny (10753) | 4 - 5 |\n| 10 | december 6 | yale | l 74 - 53 | ambrose - 15 | aronhalt - 6 | black - 2 | payne whitney gymnasium , new haven , ct (720) | 4 - 6 |\n| 11 | december 11 | central connecticut state | w 64 - 63 | ambrose - 21 | devlin - 11 | ambrose - 4 | sefcu arena , albany , ny (1879) | 5 - 6 |\n| 12 | december 18 | mount st mary 's | w 77 - 57 | ambrose - 19 | ambrose - 8 | black - 5 | sefcu arena , albany , ny (1720) | 6 - 6 |\n| 13 | december 22 | colgate | w 63 - 61 | ambrose - 19 | metcalf - 5 | ambrose - 3 | cotterell court , hamilton , ny (463) | 7 - 6 |\n| 14 | december 28 | xavier | l 88 - 64 | ambrose - 24 | ambrose - 5 | ambrose - 5 | cintas center , cincinnati , oh (10004) | 7 - 7 |" + }, + { + "from": "human", + "value": "In this task, you are given a table with its title '2010 - 11 albany great danes men 's basketball team', your goal is to distinguish whether this table supports or challenges the hypothesis. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nambrose - 8 had very high rebounds when the team was mount st mary 's" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it supports the hypothesis. So, the answer is {\"answer\": \"supports\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_9336", + "image": "table_instructV/images/TabFact_2-12205559-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| date | opponent | score | loss | attendance | record |\n| --- | --- | --- | --- | --- | --- |\n| july 1 | phillies | 5 - 2 | lidle (4 - 7) | 24248 | 46 - 34 |\n| july 2 | phillies | 11 - 6 | burnett (1 - 2) | 26177 | 46 - 35 |\n| july 3 | rangers | 6 - 1 | lilly (8 - 8) | 30021 | 46 - 36 |\n| july 4 | rangers | 3 - 2 | koronka (6 - 5) | 42255 | 47 - 36 |\n| july 5 | rangers | 9 - 3 | janssen (6 - 7) | 25803 | 47 - 37 |\n| july 6 | royals | 6 - 2 | taubenheim (1 - 5) | 10858 | 47 - 38 |\n| july 7 | royals | 13 - 3 | burnett (1 - 3) | 17162 | 47 - 39 |\n| july 8 | royals | 7 - 5 | peralta (1 - 1) | 22635 | 48 - 39 |\n| july 9 | royals | 11 - 3 | gobble (3 - 2) | 17748 | 49 - 39 |\n| july 14 | mariners | 5 - 3 | janssen (6 - 8) | 23443 | 49 - 40 |\n| july 15 | mariners | 7 - 6 (14) | fruto (0 - 1) | 36069 | 50 - 40 |\n| july 16 | mariners | 4 - 3 (11) | sherrill (2 - 2) | 28679 | 51 - 40 |\n| july 17 | rangers | 10 - 1 | koronka (6 - 6) | 16872 | 52 - 40 |\n| july 18 | rangers | 5 - 2 | schoeneweis (2 - 1) | 20017 | 52 - 41 |\n| july 19 | rangers | 5 - 4 | janssen (6 - 9) | 20778 | 52 - 42 |\n| july 20 | yankees | 5 - 4 (11) | rivera (4 - 5) | 42336 | 53 - 42 |\n| july 21 | yankees | 7 - 3 | wright (6 - 6) | 40149 | 54 - 42 |\n| july 22 | yankees | 5 - 4 | downs (4 - 1) | 50014 | 54 - 43 |\n| july 23 | yankees | 13 - 5 | ponson (0 - 1) | 42337 | 55 - 43 |\n| july 24 | mariners | 7 - 3 | janssen (6 - 10) | 29787 | 55 - 44 |\n| july 25 | mariners | 12 - 3 | meche (9 - 5) | 30793 | 56 - 44 |\n| july 26 | mariners | 7 - 4 | burnett (2 - 4) | 33629 | 56 - 45 |\n| july 27 | athletics | 5 - 2 | lilly (9 - 9) | 19251 | 56 - 46 |\n| july 28 | athletics | 4 - 3 | loaiza (4 - 7) | 22217 | 57 - 46 |\n| july 29 | athletics | 7 - 4 | mcgowan (1 - 1) | 25627 | 57 - 47 |\n| july 30 | athletics | 6 - 5 | ryan (1 - 1) | 29709 | 57 - 48 |" + }, + { + "from": "human", + "value": "Give you a table titled '2006 toronto blue jays season' and a hypothesis which is 'the blue jays lost to the phillies more times than any other team in 2006', select the correct relation between the table and the hypothesis based on the table information. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\n\n(A) confirms (the hypothesis is true)\n(B) conflicts with (the hypothesis is false)" + }, + { + "from": "gpt", + "value": "Based on the table, the hypothesis can not hold true. Thus, the final answer is {\"answer\": \"conflicts with\"}." + }, + { + "from": "human", + "value": "Examine the table titled '2006 toronto blue jays season' and judge whether the table entails or disputes the following hypothesis. Show your final answer in the JSON format {\"answer\": \"\"}.\nthe record for the most runs scored by a team belongs to the rangers" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table disputes the validity of the hypothesis. Therefore, the final answer: {\"answer\": \"disputes\"}." + }, + { + "from": "human", + "value": "This is a table named '2006 toronto blue jays season', please determine whether the given claim is affirmed or contradicted by the table information. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\njanssen lost a total of 4 games in the month of july" + }, + { + "from": "gpt", + "value": "Based on the table information, the claim is true. Thus, the answer is {\"answer\": \"affirmed\"}." + }, + { + "from": "human", + "value": "According to the table information regarding '2006 toronto blue jays season', tell me whether the provided table entails or challenges the hypothesis. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nthe most runs scored by a team in one game was 13" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it entails the hypothesis. Hence, the answer is {\"answer\": \"entails\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_9362", + "image": "table_instructV/images/TABMWP_30629.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Gem color | Change in points |\n| --- | --- |\n| Green | 25 |\n| Red | -40 |" + }, + { + "from": "human", + "value": "Answer the following question based on the table information. Let's think step by step. In the last of your solution, output the final answer as JSON in the format {\"answer\": \"\"}.\nDavid just downloaded the new game Gem Excavator on his phone. In the first level, David gains points for each green gem he finds. However, he loses points for each red gem he finds. The table shows how the gems affect David's points. Which color gem affects David's points less? (A) green (B) red" + }, + { + "from": "gpt", + "value": "To find the gem that affects David's points less, use absolute value. Absolute value tells you how much David's points change for each color gem.\nGreen: |25| = 25\nRed: |-40| = 40\nDavid gains 25 points for each green gem he finds, and he loses 40 points for each red gem he finds. So, the green gems affect David's points less.\n\nThus, the final answer is {\"answer\": \"green\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_9372", + "image": "table_instructV/images/Rotowire_train_table_2246.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Clippers | LA | 104 | 17 | 28 | 34 | 25 | 26 | 43 | 7 | 43 | 81 | 44 | 26 | 13 | | | | |\n| Heat | Miami | 90 | 25 | 27 | 17 | 21 | 26 | 49 | 23 | 44 | 66 | 38 | 22 | 17 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Clippers | | | | | | | | | | | | | | | | | | |\n| Cole Aldrich | 24 | 19 | 7 | 3 | 7-14 | 50% | 0-0 | 0% | 5-7 | 71% | 1 | 2 | 0 | 4 | 3 | 1 | C | LA |\n| Paul Pierce | 22 | 15 | 9 | 0 | 6-10 | 60% | 3-7 | 43% | 0-0 | 0% | 0 | 0 | 0 | 1 | 8 | 4 | F | LA |\n| Jamal Crawford | 26 | 15 | 4 | 1 | 4-15 | 27% | 2-5 | 40% | 5-5 | 100% | 0 | 0 | 0 | 0 | 4 | 2 | N/A | LA |\n| Chris Paul | 30 | 15 | 6 | 12 | 6-17 | 35% | 2-3 | 67% | 1-2 | 50% | 4 | 1 | 1 | 2 | 4 | 1 | G | LA |\n| JJ Redick | 25 | 12 | 1 | 2 | 5-10 | 50% | 2-4 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | G | LA |\n| Josh Smith | 20 | 9 | 3 | 1 | 4-11 | 36% | 1-2 | 50% | 0-0 | 0% | 3 | 1 | 1 | 0 | 3 | 5 | N/A | LA |\n| Austin Rivers | 23 | 8 | 1 | 3 | 3-6 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 1 | 4 | N/A | LA |\n| Wesley Johnson | 22 | 5 | 4 | 0 | 2-5 | 40% | 1-4 | 25% | 0-0 | 0% | 2 | 2 | 1 | 2 | 2 | 4 | N/A | LA |\n| Pablo Prigioni | 15 | 2 | 2 | 2 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 8 | 1 | 0 | 0 | 2 | 1 | N/A | LA |\n| Lance Stephenson | 6 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | LA |\n| Luc Mbah a Moute | 24 | 2 | 5 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 2 | 0 | 5 | 2 | F | LA |\n| CJ Wilcox | 3 | 0 | 0 | 1 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | LA |\n| DeAndre Jordan | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Gerald Green | 33 | 19 | 2 | 1 | 7-14 | 50% | 4-8 | 50% | 1-2 | 50% | 1 | 1 | 0 | 0 | 2 | 2 | N/A | Miami |\n| Dwyane Wade | 30 | 16 | 8 | 4 | 6-10 | 60% | 0-0 | 0% | 4-9 | 44% | 0 | 7 | 0 | 2 | 6 | 1 | G | Miami |\n| Chris Bosh | 33 | 11 | 12 | 7 | 3-11 | 27% | 0-4 | 0% | 5-7 | 71% | 0 | 1 | 0 | 0 | 12 | 1 | C | Miami |\n| Hassan Whiteside | 27 | 10 | 11 | 1 | 3-5 | 60% | 0-0 | 0% | 4-6 | 67% | 1 | 5 | 3 | 0 | 11 | 4 | N/A | Miami |\n| Beno Udrih | 28 | 8 | 0 | 3 | 3-7 | 43% | 2-3 | 67% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 2 | G | Miami |\n| Tyler Johnson | 29 | 8 | 4 | 4 | 2-7 | 29% | 1-2 | 50% | 3-3 | 100% | 2 | 4 | 1 | 0 | 4 | 4 | N/A | Miami |\n| Luol Deng | 32 | 7 | 7 | 2 | 3-7 | 43% | 1-3 | 33% | 0-0 | 0% | 1 | 1 | 1 | 3 | 4 | 2 | F | Miami |\n| Justise Winslow | 19 | 4 | 3 | 1 | 2-6 | 33% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 0 | F | Miami |\n| Chris Andersen | 3 | 3 | 1 | 1 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 1 | 0 | 1 | 0 | N/A | Miami |\n| Josh Richardson | 3 | 2 | 0 | 2 | 0-0 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 1 | 0 | 0 | 0 | N/A | Miami |\n| Udonis Haslem | 3 | 2 | 1 | 0 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Miami |\n| Amar'e Stoudemire | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |" + }, + { + "from": "human", + "value": "Given a table image and a set of target cells, your task is to identify their positions. Represent each cell's location as JSON in the format {'value': '', 'location': (Row_ID, Column_ID)}, with both row and column IDs begin from 1.\nRefer to the values below:\n(1) 'TEAM-NAME'\n(2) '1-3'\n(3) '6-17'\n(4) '4-8'\n(5) '4-6'\n(6) 'Tyler Johnson'\n(7) 'overall impact'\n(8) 'Luol Deng'\n\nFor the case where a cell is not contained in the table, its location should be denoted as 'DOES NOT EXIST'. " + }, + { + "from": "gpt", + "value": "The target cell locations are as follows:\n(1) {'value': 'TEAM-NAME', 'location': (1, 1)}\n(2) {'value': '1-3', 'location': (27, 8)}\n(3) {'value': '6-17', 'location': (10, 6)}\n(4) {'value': '4-8', 'location': (21, 8)}\n(5) {'value': '4-6', 'location': (24, 10)}\n(6) {'value': 'Tyler Johnson', 'location': (26, 1)}\n(7) {'value': 'overall impact', 'location': 'DOES NOT EXIST'}\n(8) {'value': 'Luol Deng', 'location': (27, 1)}" + }, + { + "from": "human", + "value": "With the box-score and line-score data from the NBA game between Clippers and Heat on 2016-01-13, please construct a detailed summary that reflects the game's performance and pivotal moments." + }, + { + "from": "gpt", + "value": "The Los Angeles Clippers (26-13) defeated the Miami Heat (22-17) 104-90, at Staples Center in Los Angeles, CA on Wednesday. The Clippers came into this game on a nine-game winning streak but none of those wins came against a team with a record better than .500. The Heat came in having lost three of their last four and in the midst of a six-game road trip, which put them in a tough spot against the streaking Clippers. Now the Clippers boast a 10-game win streak, which includes one win against a formidable opponent, while the Heat are 1-3 on their road trip and have dropped four of their last five. The Clippers dominated the second half of the game, during which they outscored Miami 59-38. DeAndre Jordan sat this one out at the last minute due to illness but Cole Aldrich did a fantastic job filling in at the center position. Aldrich led the team in scoring with 19 points (7-14 FG, 5-7 FT), along with seven rebounds and three assists, in 24 minutes. Chris Paul finished with a double-double consisting of 15 points (6-17 FG, 2-3 3Pt) and 12 assists, as well as six rebounds and four steals, in 30 minutes. Paul Pierce chipped in a solid 15 points (6-10 FG. 3-7 3Pt) and nine rebounds, in 21 minutes The Clips kept the turnovers to a minimun, with eight. Miami gave up a horrid 24 turnovers, a problem which contributed to the Clippers getting 24 more field goal attempts in the game. Gerald Green was solid in 32 minutes off the bench, with 19 points (7-14 FG, 4-8 3Pt), two rebounds, one assist and one steal. Dwyane Wade finished with 16 points (6-10 FG, 4-9 FT), eight rebounds and four assists, however he also tallied an awful seven turnovers. Hassan Whiteside played limited minutes due to a sore knee. He finished with a double-double 10 points and 11 rebounds, in 26 minutes off the bench. The Heat will move on to Devner for the fifth game of their current six-game road trip, on Friday. The Clippers will look to extend their win streak when they host the Kings on Saturday." + } + ] + }, + { + "id": "table_instructV_multi_round_9459", + "image": "table_instructV/images/TABMWP_24488.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 2 | 0 |\n| 3 | 9 |\n| 4 | 17 |" + }, + { + "from": "human", + "value": "Tell me how many rows and columns exist in the given table. Output the final answer as JSON in the format {\"row_number\": \"m\", \"column_number\": \"n\"}." + }, + { + "from": "gpt", + "value": "There are 4 rows and 2 columns in the table. So, the final answer is {\"row_number\": \"4\", \"column_number\": \"2\"}." + }, + { + "from": "human", + "value": "Solve this problem according to the provided picture in a step-wise manner. Format the ultimate answer as a JSON, using the structure {\"answer\": \"\"}.\nThe table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear" + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{9 - 0}{3 - 2}\n = \\frac{9}{1}\n = 9\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the second row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{17 - 9}{4 - 3}\n = \\frac{8}{1}\n = 8\nThe rate of change is not the same for each pair of points. So, the function does not have a constant rate of change.\nThe function is nonlinear.\n\nTherefore, the final answer is {\"answer\": \"nonlinear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_9617", + "image": "table_instructV/images/TabFact_2-10700-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| name | area | inhabitants | people per km square | main places | regions |\n| --- | --- | --- | --- | --- | --- |\n| streymoy | 373.5 | 21717 | 57.4 | tórshavn and vestmanna | tórshavn and rest of streymoy |\n| eysturoy | 286.3 | 10738 | 37 | fuglafjørður and runavík | north eysturoy and south eysturoy |\n| vágar | 177.6 | 2856 | 15.7 | míðvágur and sørvágur | vágar |\n| suðuroy | 166 | 5074 | 30.9 | tvøroyri and vágur | suðuroy |\n| sandoy | 112.1 | 1428 | 12.4 | sandur | sandoy |\n| borðoy | 95 | 5030 | 52.4 | klaksvík | klaksvík and rest of northern faroes ( norðoyar ) |\n| viðoy | 41 | 605 | 15 | viðareiði | norðoyar |\n| kunoy | 35.5 | 135 | 3.8 | kunoy | norðoyar |\n| kalsoy | 30.9 | 136 | 4.8 | mikladalur and húsar | norðoyar |\n| svínoy | 27.4 | 58 | 2.7 | svínoy | norðoyar |\n| fugloy | 11.2 | 46 | 4 | kirkja | norðoyar |\n| nólsoy | 10.3 | 262 | 26.1 | nólsoy | streymoy |\n| mykines | 10.3 | 19 | 2 | mykines | vágar |\n| skúvoy | 10 | 61 | 5.7 | skúvoy | sandoy |\n| hestur | 6.1 | 40 | 7.1 | hestur | streymoy |\n| stóra dímun | 2.7 | 7 | 1.9 | dímun | sandoy |\n| koltur | 2.5 | 2 | 0.8 | koltur | streymoy |\n| lítla dímun | 0.8 | 0 | 0 | - | sandoy |" + }, + { + "from": "human", + "value": "Examine the table image with the title 'demographics of the faroe islands', classify whether the statement is supported or disproved based on the table's content and title. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nstatement: the sandoy region has 12:4 people per km squared in area 112.1" + }, + { + "from": "gpt", + "value": "Based on the table information, the statement is true. Thus, the answer is {\"answer\": \"supported\"}." + }, + { + "from": "human", + "value": "Examine whether the table upholds or refutes the subsequent sentence. Output the final answer as JSON in the format {\"answer\": \"\"}.\ntable title: 'demographics of the faroe islands'\nsentence: nólsoy , in the streymoy region , has an area of 10.3" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the sentence. Consequently, the answer is {\"answer\": \"upholds\"}." + }, + { + "from": "human", + "value": "Give you a table picture about 'demographics of the faroe islands', determine whether the following claim is supported or disproved by the table's content. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\n\nthe average people per km2 in the sandoy region which has 5038 habitants is 12.4" + }, + { + "from": "gpt", + "value": "By using the table as supporting evidence, it is evident that the claim is incorrect. Consequently, the answer is {\"answer\": \"disproved\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_9654", + "image": "table_instructV/images/ToTTo_train_table_11129.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 1990 | A Gnome Named Gnorm | Detective Kaminsky | |\n| 1994 | The Swan Princess | Lord Rogers | Voice |\n| 1999 | Election | Dave Novotny | |\n| 2001 | Jurassic Park III | Ben Hildebrand | |\n| 2004 | Eulogy | Burt | |\n| 2006 | For Your Consideration | Round Table Host | |\n| 2007 | Watching the Detectives | Detective Barloe | |\n| 2009 | Timer | Dr. Serious | |\n| 2009 | The Job | Martin | |\n| 2011 | Meeting Spencer | David Thiel | |\n| 2013 | 42 | Herb Pennock | |\n| 2015 | This Isn't Funny | Joseph Thompson | |\n| 2015 | Trumbo | Edward 'Ed' Muhl | |\n| 2017 | Battle of the Sexes | Hank Greenberg | |" + }, + { + "from": "human", + "value": "Analyzing this Wikipedia table titled 'Mark Harelik'. It is extracted from a section titled 'Filmography'.\nBased on the table information, craft a sentence that describes the highlighted cells." + }, + { + "from": "gpt", + "value": "In 2015, Harelik starred as Thompson in This Isn't Funny and in 2017 as Hank Greenberg in the film Battle of the Sexes." + }, + { + "from": "human", + "value": "Please provide the cell values contained in these rows or columns of the table:\nrow 10\nrow 1\ncolumn 4\nrow 13\n\nShow the cells in each row or column in the JSON format {\"row_id/column_id\":\"\", \"cell_list\":\"\"}. For example, {\"row_id\":\"3\", \"cell_list\": [\"A\", \"B\", \"C\"]}." + }, + { + "from": "gpt", + "value": "The extracted row or column contents are listed below.\nFor row 10: {\"row_id\": \"10\", \"cell_list\": ['2009', 'The Job', 'Martin', '']}\nFor row 1: {\"row_id\": \"1\", \"cell_list\": ['Year', 'Title', 'Role', 'Notes']}\nFor column 4: {\"column_id\": \"4\", \"cell_list\": ['Notes', '', 'Voice', '', '', '', '', '', '', '', '', '', '', '', '']}\nFor row 13: {\"row_id\": \"13\", \"cell_list\": ['2015', \"This Isn't Funny\", 'Joseph Thompson', '']}" + } + ] + }, + { + "id": "table_instructV_multi_round_9713", + "image": "table_instructV/images/TabFact_2-11622632-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| date | visitor | score | home | decision | attendance | record |\n| --- | --- | --- | --- | --- | --- | --- |\n| october 5 | ottawa | 3 - 2 | toronto maple leafs | hasek | 19452 | 1 - 0 - 0 |\n| october 8 | buffalo sabres | 0 - 5 | ottawa | hasek | 19661 | 2 - 0 - 0 |\n| october 10 | toronto maple leafs | 5 - 6 | ottawa | hasek | 18680 | 3 - 0 - 0 |\n| october 11 | ottawa | 4 - 2 | montreal canadiens | emery | 21273 | 4 - 0 - 0 |\n| october 15 | boston bruins | 1 - 5 | ottawa | hasek | 19379 | 5 - 0 - 0 |\n| october 21 | ottawa | 4 - 1 | tampa bay lightning | hasek | 20494 | 6 - 0 - 0 |\n| october 24 | ottawa | 2 - 3 | carolina hurricanes | hasek | 12116 | 6 - 1 - 0 |\n| october 27 | montreal canadiens | 3 - 4 | ottawa | emery | 18840 | 7 - 1 - 0 |\n| october 29 | ottawa | 8 - 0 | toronto maple leafs | hasek | 19480 | 8 - 1 - 0 |\n| october 30 | philadelphia flyers | 5 - 3 | ottawa | hasek | 19335 | 8 - 2 - 0 |" + }, + { + "from": "human", + "value": "Examine the table titled '2005 - 06 ottawa senators season' and judge whether the table affirms or disproves the following statement. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nonly one visitor team had a score of 4 in the season" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table disproves the validity of the statement. Therefore, the final answer: {\"answer\": \"disproves\"}." + }, + { + "from": "human", + "value": "Examine whether the table supports or disputes the subsequent sentence. Output the final answer as JSON in the format {\"answer\": \"\"}.\ntable title: '2005 - 06 ottawa senators season'\nsentence: the visitor had the most amount of points on october 29" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it supports the sentence. Hence, the answer is {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "hypothesis: ottawa was the home team for 2 consecutive times in the season\nJudge whether the above hypothesis is supported or disputed by the given table named '2005 - 06 ottawa senators season'. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the hypothesis is true. So, the answer is {\"answer\": \"supported\"}." + }, + { + "from": "human", + "value": "This is a table named '2005 - 06 ottawa senators season', please determine whether the given claim is affirmed or opposed by the table information. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nthe toronto maple leafs was one of two home teams to have a score of 0 in the season" + }, + { + "from": "gpt", + "value": "According to the table, the claim is opposed by the table information. Therefore, the final answer: {\"answer\": \"opposed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_9735", + "image": "table_instructV/images/TabFact_2-12514326-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| stage | date | course | distance | winner | race leader |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 14 may | milan to vicenza | - | learco guerra ( ita ) | learco guerra ( ita ) |\n| 2 | 15 may | vicenza to udine | - | hermann buse ( ger ) | hermann buse ( ger ) |\n| 3 | 17 may | udine to ferrara | - | fabio battesini ( ita ) | hermann buse ( ger ) |\n| 4 | 18 may | ferrara to rimini | - | learco guerra ( ita ) | hermann buse ( ger ) |\n| 5 | 20 may | rimini to teramo | - | raffaele di paco ( ita ) | hermann buse ( ger ) |\n| 6 | 22 may | teramo to lanciano | - | learco guerra ( ita ) | hermann buse ( ger ) |\n| 7 | 24 may | lanciano to foggia | - | antonio pesenti ( ita ) | antonio pesenti ( ita ) |\n| 8 | 26 may | foggia to naples | - | learco guerra ( ita ) | antonio pesenti ( ita ) |\n| 9 | 28 may | naples to rome | - | learco guerra ( ita ) | antonio pesenti ( ita ) |\n| 10 | 30 may | rome to florence | - | ettore meini ( ita ) | antonio pesenti ( ita ) |\n| 11 | 1 june | florence to genoa | - | remo bertoni ( ita ) | antonio pesenti ( ita ) |\n| 12 | 3 june | genoa to turin | - | ettore meini ( ita ) | antonio pesenti ( ita ) |\n| 13 | 5 june | turin to milan | - | learco guerra ( ita ) | antonio pesenti ( ita ) |\n| total | total | - | km (mi) | - | km (mi) |" + }, + { + "from": "human", + "value": "claim: the race leader was never italian prior to stage 7\nJudge whether the above claim is confirmed or refuted by the given table named '1932 giro d'italia'. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "Based on the evidence presented in the table, we can conclude that the claim is not true. Therefore, the answer is {\"answer\": \"refuted\"}." + }, + { + "from": "human", + "value": "Analyze this table picture about '1932 giro d'italia' and classify whether the given table affirms or disputes the sentence. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\n\nettore meini won races from rome to florence and genoa to turin" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the sentence. Consequently, the answer is {\"answer\": \"affirms\"}." + }, + { + "from": "human", + "value": "Determine the relationship between the table named '1932 giro d'italia' and the hypothesis. Whether the table supports or opposes the given hypothesis? Output the final answer as JSON in the format {\"answer\": \"\"}.\nhypothesis: learco guerra was the winner six times , but never the race leader" + }, + { + "from": "gpt", + "value": "Based on the table, the hypothesis can not hold true. Thus, the final answer is {\"answer\": \"opposes\"}." + }, + { + "from": "human", + "value": "Examine the table with the given title '1932 giro d'italia' and judge whether the claim is supported or opposed based on the table's content. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nlearco guerra was the winner in more races than ettore meini" + }, + { + "from": "gpt", + "value": "According to the table, the claim is supported by the table information. Therefore, the final answer: {\"answer\": \"supported\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_9771", + "image": "table_instructV/images/ToTTo_train_table_4268.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Club | Sport | League | Venue |\n| --- | --- | --- | --- |\n| Flint Rogues Rugby Club | Rugby | Michigan Rugby Football Union | Longway Park |\n| Flint Fury | Football | Great Lakes Football League | Atwood Stadium |\n| Flint City Derby Girls | Roller Derby | Women's Flat Track Derby Association | Dort Federal Credit Union Event Center |\n| Flint Monarchs | Women's basketball | Women's American Basketball Association | Mott's Ballenger's Fieldhouse |\n| Flint Firebirds | Hockey | Ontario Hockey League | Dort Federal Credit Union Event Center |\n| Flint-Vehicle City Chargers | Basketball | ABA | New Standard Academy gym |\n| Waza Flo | indoor soccer | Major Arena Soccer League | Dort Federal Credit Union Event Center |" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table and its metadata. You are required to generate a one-sentence description of highlighted table cells. \nTable title: Flint, Michigan\nSection title: Sports" + }, + { + "from": "gpt", + "value": "The Flint Fury is a part of the Great Lakes Football League." + }, + { + "from": "human", + "value": "Find row 3 in this table and extract its cells' values. Represent the cells in a row with the JSON format {\"row_id\":\"\", \"cell_list\":\"\"}. For instance, {\"row_id\":\"5\", \"cell_list\": [\"152\", \"UN\", \"one last kiss\"]}." + }, + { + "from": "gpt", + "value": "The cells in row 3: {\"row_id\": \"3\", \"cell_list\": ['Flint Fury', 'Football', 'Great Lakes Football League', 'Atwood Stadium']}" + } + ] + }, + { + "id": "table_instructV_multi_round_9806", + "image": "table_instructV/images/TABMWP_35145.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Dog | Weight change (oz.) |\n| --- | --- |\n| Sprinkles | 5 |\n| Champ | -6 |" + }, + { + "from": "human", + "value": "Based on the table, solve the following math problem step by step. Provide a concluding answer in a JSON structure, using the format {\"answer\": \"\"}.\nHarold has two dogs, Sprinkles and Champ. He is concerned because Sprinkles keeps eating Champ's food. Harold asks their vet how much each dog's weight has changed since their last visit. Which dog's weight has changed the most? (A) Sprinkles (B) Champ" + }, + { + "from": "gpt", + "value": "To find which dog's weight changed the most, use absolute value. Absolute value tells you how much each dog's weight has changed.\nSprinkles: |5| = 5\nChamp: |-6| = 6\nChamp's weight has changed the most. He has lost 6 ounces.\n\nTherefore, the final answer is {\"answer\": \"Champ\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_9831", + "image": "table_instructV/images/TAT-QA_57b4399c-dcd8-4578-b252-dcbba528ad19.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| | | | December 31, 2018 |\n| --- | --- | --- | --- |\n| | Gross Carrying Amount | Unamortized Discount and Deferred Financing Costs | Net Carrying Amount |\n| 2021 Notes | 650 | (3) | 647 |\n| 2022 Notes | 400 | (3) | 397 |\n| 2026 Notes | 850 | (8) | 842 |\n| 2027 Notes | 400 | (5) | 395 |\n| 2047 Notes | 400 | (10) | 390 |\n| Total debt | $2,700 | $(29) | $2,671 |" + }, + { + "from": "human", + "value": "For the cell positioned in row 6 and column 4 of this table, provide its content. Format the cell value as a JSON, using the structure {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"\"}." + }, + { + "from": "gpt", + "value": "The target cell value in row 6 and column 4 is {\"row_id\":\"6\", \"column_id\":\"4\", \"cell_value\":\"395\"}." + }, + { + "from": "human", + "value": "The image shows a table. Answer the following question based on the table. Provide a concluding answer in a JSON structure, using the format {\"answer\": []} such as {\"answer\": [\"20\", \"apple\"]}.\nWhat was the percentage change in the net carrying amount between the 2026 and 2027 notes?" + }, + { + "from": "gpt", + "value": "Based on the given table:\n(395-842)/842 = -53.09\nTherefore, the answer is {\"answer\": [\"-53.09\"]}." + } + ] + }, + { + "id": "table_instructV_multi_round_9979", + "image": "table_instructV/images/ToTTo_train_table_31589.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| BAKERY | MAIN LOCATION | EST. | CLOSED | PRINCIPALS |\n| --- | --- | --- | --- | --- |\n| Boudin | 399 10th Ave., San Francisco | 1849 | Still open | Isidore Boudin; Steven Giraudo |\n| Parisian* | 1995 Evans Ave., San Francisco | 1856 | August, 2005 | |\n| Toscana* | 939 3rd St.; 3924 Market, Oakland | 1895 | ? | |\n| Larraburu Bros.* | 365 3rd Ave., San Francisco | 1896 | May, 1976 | Larraburu Bros; Harold Paul, Sr. & Jr. |\n| Colombo* | 580 Julie Ann Way, Oakland | 1896 | November, 2012 | |\n| Baroni* | Baroni French Baking Co., 7801 Edgewater Dr., Oakland | Inc. 1968 | ? | George Valerio |\n| Venetian | 2200 Powell St., San Francisco | ? | April, 1979 | Aldo Bertolina |\n| Pisano | Main & Chestnut; Maple St. & Veterans Blvd., Redwood City | 1950 | ? | |\n| *Studied by USDA in 1969 | | | | |" + }, + { + "from": "human", + "value": "Generate a one-sentence summary about the highlighted table cells based on the following Wikipedia table and its metadata. \nTable title: History of California bread\nSection title: Post-war era\nSection text: Starting after World War II, a generation of decline and consolidation saw Americans increasingly eating packaged, sliced loaves. Beginning in the 1950s and continuing through the 1980s, there was less fresh bread available across America, leading writer Henry Miller to complain, \"You can travel 50,000 miles in America without once tasting a piece of good bread.\" Much of the decline paralleled nationwide trends, both for bread and other foods, toward consolidation, lower-priced and frozen ingredients, reduced labor costs and added preservatives for longer shelf life." + }, + { + "from": "gpt", + "value": "In 1896, the Larraburu Brothers bakery was located at 365 3rd Avenue." + } + ] + }, + { + "id": "table_instructV_multi_round_9984", + "image": "table_instructV/images/Rotowire_train_table_2849.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Timberwolves | Minnesota | 95 | 16 | 32 | 13 | 34 | 24 | 31 | 7 | 43 | 72 | 42 | 17 | 39 | | | | |\n| Knicks | New York | 103 | 31 | 28 | 22 | 22 | 17 | 51 | 16 | 51 | 88 | 29 | 24 | 33 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Karl-Anthony Towns | 41 | 24 | 8 | 4 | 10-23 | 44% | 0-1 | 0% | 4-5 | 80% | 1 | 0 | 3 | 3 | 5 | 2 | C | Minnesota |\n| Andrew Wiggins | 36 | 24 | 5 | 0 | 8-20 | 40% | 2-2 | 100% | 6-8 | 75% | 2 | 1 | 2 | 1 | 4 | 2 | G | Minnesota |\n| Shabazz Muhammad | 33 | 20 | 3 | 0 | 8-11 | 73% | 2-2 | 100% | 2-2 | 100% | 1 | 1 | 0 | 0 | 3 | 1 | N/A | Minnesota |\n| Zach LaVine | 33 | 14 | 5 | 3 | 7-14 | 50% | 0-5 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 5 | 0 | N/A | Minnesota |\n| Ricky Rubio | 35 | 9 | 1 | 16 | 2-6 | 33% | 1-1 | 100% | 4-6 | 67% | 3 | 1 | 0 | 0 | 1 | 2 | G | Minnesota |\n| Gorgui Dieng | 25 | 3 | 3 | 1 | 1-6 | 17% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 1 | 2 | 1 | 2 | F | Minnesota |\n| Kevin Martin | 12 | 1 | 3 | 0 | 0-2 | 0% | 0-0 | 0% | 1-2 | 50% | 1 | 1 | 0 | 1 | 2 | 0 | N/A | Minnesota |\n| Damjan Rudez | 4 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Minnesota |\n| Tayshaun Prince | 21 | 0 | 3 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 1 | F | Minnesota |\n| Andre Miller | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Adreian Payne | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Nemanja Bjelica | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Tyus Jones | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Knicks | | | | | | | | | | | | | | | | | | |\n| Carmelo Anthony | 41 | 30 | 11 | 4 | 12-23 | 52% | 0-3 | 0% | 6-7 | 86% | 0 | 2 | 0 | 2 | 9 | 1 | F | New York |\n| Robin Lopez | 36 | 26 | 16 | 0 | 11-14 | 79% | 0-0 | 0% | 4-4 | 100% | 0 | 5 | 3 | 8 | 8 | 5 | C | New York |\n| Arron Afflalo | 39 | 11 | 4 | 3 | 4-10 | 40% | 3-5 | 60% | 0-0 | 0% | 1 | 3 | 0 | 0 | 4 | 1 | G | New York |\n| Lance Thomas | 26 | 11 | 5 | 1 | 5-10 | 50% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 1 | 4 | 2 | N/A | New York |\n| Jose Calderon | 35 | 9 | 6 | 3 | 4-8 | 50% | 1-4 | 25% | 0-0 | 0% | 0 | 2 | 0 | 0 | 6 | 2 | G | New York |\n| Kristaps Porzingis | 12 | 6 | 2 | 0 | 2-6 | 33% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 1 | 0 | 2 | 4 | F | New York |\n| Langston Galloway | 23 | 6 | 4 | 2 | 3-7 | 43% | 0-2 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 4 | 0 | N/A | New York |\n| Derrick Williams | 11 | 4 | 2 | 0 | 1-2 | 50% | 0-0 | 0% | 2-3 | 67% | 0 | 2 | 0 | 0 | 2 | 0 | N/A | New York |\n| Sasha Vujacic | 7 | 0 | 0 | 2 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | New York |\n| Kyle O'Quinn | 9 | 0 | 1 | 2 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 3 | 0 | 1 | 3 | N/A | New York |\n| Jerian Grant | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Lou Amundson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Kevin Seraphin | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |" + }, + { + "from": "human", + "value": "Generate a detailed match report for the NBA game on 20th February, 2016. The game statistics are shown in the given picture." + }, + { + "from": "gpt", + "value": "The New York Knicks (24-33) defeated the Minnesota Timberwolves (17-39) 103-95 on Saturday. The Knicks got off to a hot start here and stepped on the Wolves throats early. It was the first and third quarters that really propelled them, as the Knicks outscored the Timberwolves by 24 points in that 24-minute span. The rebounding was key, as New York snatched down 51 rebounds to Minnesota 's 31. The Knicks also shot 51 percent from the field, while holding the Timberwolves to 43 percent shooting. New York has really been struggling recently, so this was a much needed win. Carmelo Anthony led the team with 30 points, while also providing 11 rebounds and four assists. Robin Lopez was a huge spark, as he totaled 26 points and 16 rebounds in one of his best performances of the season. No player totaled more than four assists, so it was a lot of ISO ball that got it done for the Knicks. Up next for New York is a matchup against the Toronto Raptors on Monday. Minnesota did a great job of fighting late, but dug themselves too deep of a hole to come back. They outscored the Knicks by 12 in the final quarter, while amassing 34 points. Karl Anthony-Towns was the best player, as he accumulated 24 points, eight rebounds, four assists and three blocks in the defeat. Ricky Rubio did a great job of distributing, dishing out 16 assists in the loss. On deck for Minnesota is the Boston Celtics on Tuesday." + } + ] + }, + { + "id": "table_instructV_multi_round_10162", + "image": "table_instructV/images/ToTTo_train_table_136.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Fiscal year | Daily average |\n| --- | --- |\n| 2000 | 30,237 |\n| 2005 | 31,529 |\n| 2010 | 37,302 |\n| 2011 | 37,829 |\n| 2012 | 38,821 |" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table and its metadata. You are required to generate a one-sentence description of highlighted table cells. \nTable title: Nakayama Station (Kanagawa)\nSection title: Passenger statistics" + }, + { + "from": "gpt", + "value": "In fiscal 2012, the Nakayama station had an average of 38,821 passengers daily." + } + ] + }, + { + "id": "table_instructV_multi_round_10198", + "image": "table_instructV/images/Rotowire_train_table_946.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Suns | Phoenix | 103 | 22 | 36 | 27 | 18 | 18 | 49 | 16 | 44 | 83 | 14 | 22 | 47 | | | | |\n| Magic | Orlando | 109 | 30 | 30 | 24 | 25 | 21 | 43 | 12 | 44 | 86 | 30 | 25 | 45 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Suns | | | | | | | | | | | | | | | | | | |\n| TJ Warren | 37 | 26 | 5 | 1 | 8-13 | 62% | 0-1 | 0% | 10-10 | 100% | 2 | 3 | 2 | 2 | 3 | 4 | F | Phoenix |\n| Tyler Ulis | 40 | 19 | 4 | 8 | 8-17 | 47% | 0-2 | 0% | 3-4 | 75% | 1 | 3 | 0 | 1 | 3 | 1 | G | Phoenix |\n| Marquese Chriss | 26 | 13 | 9 | 0 | 6-9 | 67% | 1-2 | 50% | 0-0 | 0% | 0 | 2 | 4 | 0 | 9 | 4 | F | Phoenix |\n| Alan Williams | 16 | 12 | 7 | 2 | 4-6 | 67% | 0-0 | 0% | 4-6 | 67% | 0 | 2 | 0 | 1 | 6 | 4 | N/A | Phoenix |\n| Devin Booker | 30 | 10 | 4 | 3 | 3-13 | 23% | 0-2 | 0% | 4-4 | 100% | 2 | 3 | 0 | 0 | 4 | 2 | G | Phoenix |\n| Alex Len | 28 | 9 | 9 | 2 | 3-12 | 25% | 0-0 | 0% | 3-4 | 75% | 3 | 2 | 2 | 4 | 5 | 3 | C | Phoenix |\n| Jared Dudley | 26 | 7 | 6 | 0 | 3-9 | 33% | 1-6 | 17% | 0-0 | 0% | 0 | 1 | 0 | 1 | 5 | 3 | N/A | Phoenix |\n| Derrick Jones, Jr. | 17 | 6 | 2 | 0 | 3-6 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 2 | 0 | 0 | N/A | Phoenix |\n| Ronnie Price | 20 | 1 | 3 | 2 | 0-2 | 0% | 0-1 | 0% | 1-2 | 50% | 1 | 0 | 0 | 1 | 2 | 1 | N/A | Phoenix |\n| Tyson Chandler | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Brandon Knight | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Leandro Barbosa | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Eric Bledsoe | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Evan Fournier | 35 | 25 | 3 | 2 | 8-19 | 42% | 3-9 | 33% | 6-7 | 86% | 1 | 1 | 0 | 0 | 3 | 3 | G | Orlando |\n| Nikola Vucevic | 32 | 18 | 17 | 2 | 8-20 | 40% | 0-2 | 0% | 2-2 | 100% | 3 | 2 | 0 | 6 | 11 | 2 | C | Orlando |\n| Aaron Gordon | 34 | 17 | 4 | 0 | 7-12 | 58% | 1-3 | 33% | 2-2 | 100% | 1 | 2 | 4 | 0 | 4 | 2 | F | Orlando |\n| Terrence Ross | 31 | 14 | 1 | 2 | 6-10 | 60% | 2-3 | 67% | 0-0 | 0% | 0 | 3 | 0 | 0 | 1 | 6 | F | Orlando |\n| D.J. Augustin | 16 | 12 | 1 | 0 | 4-8 | 50% | 1-2 | 50% | 3-4 | 75% | 0 | 1 | 0 | 0 | 1 | 3 | N/A | Orlando |\n| Elfrid Payton | 31 | 10 | 4 | 11 | 4-9 | 44% | 0-0 | 0% | 2-2 | 100% | 3 | 1 | 0 | 0 | 4 | 4 | G | Orlando |\n| C.J. Watson | 15 | 4 | 0 | 1 | 2-3 | 67% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Orlando |\n| Bismack Biyombo | 16 | 4 | 3 | 1 | 1-1 | 100% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 3 | 3 | N/A | Orlando |\n| Mario Hezonja | 16 | 3 | 2 | 1 | 1-5 | 20% | 0-1 | 0% | 1-2 | 50% | 2 | 1 | 0 | 0 | 2 | 1 | N/A | Orlando |\n| Jeff Green | 14 | 2 | 8 | 1 | 1-9 | 11% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 2 | 6 | 2 | N/A | Orlando |\n| CJ Wilcox | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Damjan Rudez | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Stephen Zimmerman | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |" + }, + { + "from": "human", + "value": "Based on the shown data records of an NBA game which took place on 03/17/2017 between Suns and Magic, craft a detailed narrative that encapsulates the game's highlights and overall performance." + }, + { + "from": "gpt", + "value": "The Orlando Magic saw dominant play from center Nikola Vucevic on Friday, as the big man pulled down a whopping 17 boards along with 18 points. The Magic still lost the rebounding battle, however, 49-43. Orlando hit just seven three-pointers on the night but still won the shooting edge easily, as Phoenix went just 2-of-14 from beyond the arc. Phoenix did see strong play from some of its young players. Rookie point guard Tyler Ulis went for 19 points and eight assists, while third year forward T.J. Warren had 26 points on 8-of-13 shooting and 10-of-10 at the free-throw line. However, it was not enough to best Orlando and shooting guard Evan Fournier. Fournier dropped a team-high 25 points and sank three three-pointers en route to a winning effort on Friday." + } + ] + }, + { + "id": "table_instructV_multi_round_10220", + "image": "table_instructV/images/Rotowire_train_table_2588.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Lakers | Los Angeles | 88 | 15 | 26 | 22 | 25 | 14 | 37 | 11 | 38 | 93 | 33 | 11 | 23 | | | | |\n| Pacers | Indiana | 87 | 28 | 20 | 21 | 18 | 21 | 50 | 14 | 37 | 72 | 29 | 13 | 22 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Lakers | | | | | | | | | | | | | | | | | | |\n| Nick Young | 29 | 22 | 3 | 1 | 4-12 | 33% | 2-5 | 40% | 12-12 | 100% | 1 | 1 | 0 | 0 | 3 | 2 | N/A | Los Angeles |\n| Kobe Bryant | 32 | 20 | 6 | 6 | 7-14 | 50% | 2-3 | 67% | 4-4 | 100% | 3 | 2 | 0 | 0 | 6 | 2 | G | Los Angeles |\n| Carlos Boozer | 26 | 12 | 4 | 1 | 5-9 | 56% | 0-0 | 0% | 2-2 | 100% | 0 | 2 | 0 | 1 | 3 | 2 | N/A | Los Angeles |\n| Ed Davis | 32 | 11 | 6 | 0 | 4-8 | 50% | 0-0 | 0% | 3-4 | 75% | 0 | 1 | 0 | 1 | 5 | 3 | F | Los Angeles |\n| Jeremy Lin | 22 | 10 | 3 | 2 | 2-6 | 33% | 1-2 | 50% | 5-6 | 83% | 1 | 2 | 0 | 0 | 3 | 2 | N/A | Los Angeles |\n| Ronnie Price | 26 | 7 | 0 | 1 | 3-7 | 43% | 1-4 | 25% | 0-0 | 0% | 2 | 0 | 0 | 0 | 0 | 3 | G | Los Angeles |\n| Jordan Hill | 23 | 4 | 5 | 1 | 1-7 | 14% | 0-0 | 0% | 2-2 | 100% | 1 | 2 | 2 | 2 | 3 | 2 | C | Los Angeles |\n| Wayne Ellington | 14 | 2 | 1 | 0 | 1-5 | 20% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Los Angeles |\n| Robert Sacre | 13 | 0 | 4 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 3 | 1 | N/A | Los Angeles |\n| Ryan Kelly | 12 | 0 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Los Angeles |\n| Wesley Johnson | 12 | 0 | 3 | 1 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 0 | F | Los Angeles |\n| Tarik Black | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Jordan Clarkson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| CJ Miles | 32 | 19 | 2 | 0 | 7-18 | 39% | 3-9 | 33% | 2-4 | 50% | 2 | 1 | 0 | 1 | 1 | 3 | N/A | Indiana |\n| Donald Sloan | 36 | 16 | 7 | 9 | 6-14 | 43% | 1-6 | 17% | 3-4 | 75% | 0 | 1 | 0 | 0 | 7 | 2 | G | Indiana |\n| Roy Hibbert | 29 | 12 | 11 | 0 | 5-12 | 42% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 1 | 3 | 8 | 1 | C | Indiana |\n| David West | 32 | 11 | 8 | 3 | 5-13 | 39% | 0-2 | 0% | 1-1 | 100% | 0 | 5 | 0 | 4 | 4 | 1 | F | Indiana |\n| Solomon Hill | 36 | 10 | 4 | 1 | 3-11 | 27% | 2-6 | 33% | 2-2 | 100% | 1 | 2 | 0 | 1 | 3 | 2 | F | Indiana |\n| Rodney Stuckey | 28 | 10 | 4 | 4 | 3-11 | 27% | 2-3 | 67% | 2-2 | 100% | 1 | 2 | 0 | 2 | 2 | 3 | G | Indiana |\n| Luis Scola | 16 | 5 | 8 | 3 | 2-5 | 40% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 2 | 6 | 3 | N/A | Indiana |\n| Chris Copeland | 12 | 2 | 0 | 0 | 1-4 | 25% | 0-2 | 0% | 0-1 | 0% | 0 | 1 | 0 | 0 | 0 | 4 | N/A | Indiana |\n| Lavoy Allen | 19 | 2 | 6 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 3 | 3 | 2 | N/A | Indiana |\n| George Hill | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| CJ Watson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Damjan Rudez | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Shayne Whittington | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |" + }, + { + "from": "human", + "value": "Using the data statistics shown for the NBA game on 2015-01-04 in this picture, please construct an in-depth analysis and summary of the game." + }, + { + "from": "gpt", + "value": "The Los Angeles Lakers (11-23) defeated the Indiana Pacers (13-22) 88-87 on Sunday at the Staples Center in Los Angeles. After ending the third quarter down 69-63, the Lakers went on a 25-18 run in the fourth quarter to complete a comeback victory in front of their home crowd. Despite being out-rebounded 50-37 by the Pacers, the Lakers were able to force them into 16 turnovers, which may have been the difference in this one. Both teams struggled with their shooting percentages for the most part. Nick Young and Kobe Bryant did most of the damage for the Lakers. Young did n't have his best shooting night of the year, but finished with 22 points (4-12 FG, 2-5 3Pt) and three rebounds off the bench. He was able to go a perfect 12-of-12 from the free throw line, as he continually forced his way to the line. Bryant on the other hand went 7-for-14 from the field and 2-for-3 from the three-point line to score 20 points, while also adding six rebounds, six assists and three steals. He did a little bit of everything in this game, along with making the go-ahead jumper with just over 12 seconds left in the game. Carlos Boozer was also productive off the bench, scoring 12 points (5-9 FG, 2-2 FT) and grabbing four rebounds. Both Jeremy Lin and Ed Davis reached double-digits in points as well, with 10 and 11 points respectively. The Pacers had all five starters reach double figures in points, but received their biggest contribution off the bench from CJ Miles. Miles went 7-for-18 from the field and 3-for-9 from the three-point line to score 19 points in 31 minutes. He 's really stepped it up lately, averaging 22 points over his last three outings. Donald Slan started at guard and came just shy of a triple-double, finishing with 16 points (6-14 FG, 1-6 3Pt, 3-4 FT), seven rebounds and nine assists. The nine assists were a season-high, as he 's received a boost in playing time over his last few games. Roy Hibbert stayed effective and recorded 12 points (5-12 FG, 2-2 FT) and 11 rebounds. It was his eigth double-double of the season. David West neared a double-double of his own with 11 points (5-13 FG, 0-2 3Pt, 1-1 FT) and eight rebounds, while Rodney Stuckey had 10 points (3-11 FG, 2-3 3Pt, 2-2 FT) and four assists. The Lakers' next game will be on the road against the Portland Trail Blazers on Monday, while the Pacers will travel to Utah to play the Jazz on Monday." + } + ] + }, + { + "id": "table_instructV_multi_round_10230", + "image": "table_instructV/images/TABMWP_9581.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Gem color | Change in points |\n| --- | --- |\n| Green | 25 |\n| Red | -40 |" + }, + { + "from": "human", + "value": "Mason just downloaded the new game Gem Excavator on his phone. In the first level, Mason gains points for each green gem he finds. However, he loses points for each red gem he finds. The table shows how the gems affect Mason's points. Which color gem affects Mason's points less? (A) green (B) red\n\nSolve the above problem using the table information. Present the final answer in a JSON format, outlined as {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "To find the gem that affects Mason's points less, use absolute value. Absolute value tells you how much Mason's points change for each color gem.\nGreen: |25| = 25\nRed: |-40| = 40\nMason gains 25 points for each green gem he finds, and he loses 40 points for each red gem he finds. So, the green gems affect Mason's points less.\n\nSo, the answer is {\"answer\": \"green\"}." + }, + { + "from": "human", + "value": "In the context of a table, we can utilize the json format {'value': '', 'location': (Row_ID, Column_ID)} to express a cell's position, where both row and column IDs commence from 1. Examining the provided table image, identify the locations of the following cells using this format.\nValues to locate:\n1. 'Green'\n2. 'Red'\n3. 'Change in points'\n4. '25'\n5. '$645'\n6. 'Gem color'\nDenote the location as 'DOES NOT EXIST' if a cell does not exist in the table." + }, + { + "from": "gpt", + "value": "The coordinates of target cells are listed below.\n1. {'value': 'Green', 'location': (2, 1)}\n2. {'value': 'Red', 'location': (3, 1)}\n3. {'value': 'Change in points', 'location': (1, 2)}\n4. {'value': '25', 'location': (2, 2)}\n5. {'value': '$645', 'location': 'DOES NOT EXIST'}\n6. {'value': 'Gem color', 'location': (1, 1)}" + } + ] + }, + { + "id": "table_instructV_multi_round_10432", + "image": "table_instructV/images/TABMWP_348.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 18 | 1 |\n| 19 | 5 |\n| 20 | 9 |" + }, + { + "from": "human", + "value": "Answer the following question based on the table information. Let's think step by step. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nThe table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear" + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{5 - 1}{19 - 18}\n = \\frac{4}{1}\n = 4\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the second row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{9 - 5}{20 - 19}\n = \\frac{4}{1}\n = 4\nThe two rates of change are the same.\nIf you checked the rate of change between rows 1 and 3, you would find that it is also 4.\nThis means the rate of change is the same for each pair of points. So, the function has a constant rate of change.\nThe function is linear.\n\nSo, the answer is {\"answer\": \"linear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_10556", + "image": "table_instructV/images/TabFact_1-25764073-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| season | episode | title | director (s) | writer (s) | original air date |\n| --- | --- | --- | --- | --- | --- |\n| 27 | 1 | recalled to duty | catherine millar | tony morphett | 10 february 1997 |\n| 28 | 2 | closed circuit | catherine millar | tony morphett | 17 february 1997 |\n| 29 | 3 | import / export (1) | mark piper | denise morgan | 24 february 1997 |\n| 30 | 4 | jilted (2) | peter andrikidis | susan hore | 3 march 1997 |\n| 31 | 5 | truth or dare | peter andrikidis | susan hore | 10 march 1997 |\n| 32 | 6 | give me money | peter andrikidis | susan hore | 17 march 1997 |\n| 33 | 7 | end of the line | chris martin - jones | anne brooksbank | 24 march 1997 |\n| 34 | 8 | wrong place , wrong time | chris martin - jones | anne brooksbank | 31 march 1997 |\n| 35 | 9 | sex games | alister hallum | david allen | 7 april 1997 |\n| 36 | 10 | eye for an eye | alister hallum | serge lazareff | 14 april 1997 |\n| 37 | 11 | goldie 's trip | mark piper | russell haig | 21 april 1997 |\n| 38 | 12 | one dead rat | guy norris | russell haig | 28 april 1997 |\n| 39 | 13 | the messenger | peter andrikidis | victoria custo | 5 may 1997 |\n| 40 | 14 | the man in the moon | peter andrikidis | anne brooksbank | 12 may 1997 |\n| 41 | 15 | stolen time | chris martin - jones | denise morgan | 19 may 1997 |\n| 42 | 16 | fireworks | chris martin - jones | denise morgan | 26 may 1997 |\n| 43 | 17 | shroud lines | geoffrey nottage | tony morphett | 2 june 1997 |\n| 44 | 18 | hunting season | geoffrey nottage | peter gawler | 9 june 1997 |\n| 45 | 19 | blood trail (1) | peter andrikidis | vicki madden | 16 june 1997 |\n| 46 | 20 | dead or alive (2) | peter andrikidis | susan hore | 23 june 1997 |\n| 47 | 21 | all at sea | chris martin - jones | michael miller | 30 june 1997 |\n| 48 | 22 | retribution | chris martin - jones | anne brooksbank and vicki madden | 7 july 1997 |\n| 49 | 23 | smile (1) | peter andrikidis | tony morphett | 14 july 1997 |\n| 50 | 24 | deadfall (2) | peter andrikidis | tony morphett | 21 july 1997 |\n| 51 | 25 | the witness (3) | guy norris | margaret wilson | 28 july 1997 |" + }, + { + "from": "human", + "value": "According to the information in the given table regarding 'list of water rats episodes', tell me whether the hypothesis is entailed or challenged by the table. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nsusan hore wrote more episodes than victoria custo" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the hypothesis is valid. Hence, the answer is {\"answer\": \"entailed\"}." + }, + { + "from": "human", + "value": "Examine the table with the given title 'list of water rats episodes' and judge whether the claim is confirmed or disputed based on the table's content. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nthe showed aired every seven days without taking a single week off" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the claim is true. So, the answer is {\"answer\": \"confirmed\"}." + }, + { + "from": "human", + "value": "Table title: list of water rats episodes\nstatement: mark piper directed the 23rd , 24th , and 25th episodes of the season\nPlease distinguish whether the above statement is confirmed or disputed by the table information. The final result should be presented in the JSON format of {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "Based on the evidence presented in the table, we can conclude that the statement is not true. Therefore, the answer is {\"answer\": \"disputed\"}." + }, + { + "from": "human", + "value": "Analyze this table picture about 'list of water rats episodes' and classify whether the given table substantiates or challenges the claim. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\n\nthe show aired episodes every month from january to may 1997 , except for april" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it challenges the claim. So, the answer is {\"answer\": \"challenges\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_10573", + "image": "table_instructV/images/Rotowire_train_table_2336.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 76ers | Philadelphia | 114 | 29 | 39 | 22 | 24 | 27 | 45 | 13 | 55 | 67 | 44 | 5 | 37 | | | | |\n| Trail Blazers | Portland | 89 | 17 | 26 | 19 | 27 | 17 | 38 | 13 | 39 | 67 | 17 | 18 | 25 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Jahlil Okafor | 29 | 25 | 10 | 1 | 12-16 | 75% | 0-0 | 0% | 1-4 | 25% | 0 | 3 | 0 | 0 | 10 | 4 | C | Philadelphia |\n| Richaun Holmes | 27 | 17 | 6 | 3 | 5-9 | 56% | 1-3 | 33% | 6-7 | 86% | 0 | 1 | 1 | 1 | 5 | 1 | N/A | Philadelphia |\n| Ish Smith | 25 | 16 | 2 | 5 | 6-9 | 67% | 0-0 | 0% | 4-6 | 67% | 1 | 0 | 0 | 1 | 1 | 3 | G | Philadelphia |\n| Robert Covington | 26 | 16 | 4 | 3 | 5-12 | 42% | 4-10 | 40% | 2-2 | 100% | 1 | 2 | 0 | 0 | 4 | 4 | N/A | Philadelphia |\n| Isaiah Canaan | 31 | 14 | 4 | 4 | 5-10 | 50% | 2-5 | 40% | 2-3 | 67% | 1 | 1 | 1 | 0 | 4 | 1 | G | Philadelphia |\n| TJ McConnell | 15 | 8 | 1 | 7 | 3-4 | 75% | 1-1 | 100% | 1-2 | 50% | 1 | 1 | 0 | 0 | 1 | 3 | N/A | Philadelphia |\n| Kendall Marshall | 8 | 5 | 2 | 0 | 2-3 | 67% | 1-1 | 100% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 0 | N/A | Philadelphia |\n| Nerlens Noel | 26 | 4 | 8 | 1 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 4 | 1 | 4 | 1 | 7 | 2 | F | Philadelphia |\n| Hollis Thompson | 23 | 3 | 4 | 1 | 1-5 | 20% | 1-3 | 33% | 0-0 | 0% | 0 | 1 | 0 | 0 | 4 | 2 | N/A | Philadelphia |\n| Carl Landry | 7 | 3 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 3-4 | 75% | 1 | 0 | 0 | 0 | 0 | 1 | N/A | Philadelphia |\n| JaKarr Sampson | 23 | 3 | 4 | 2 | 1-4 | 25% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 2 | 0 | 4 | 4 | F | Philadelphia |\n| Jerami Grant | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Nik Stauskas | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Trail Blazers | | | | | | | | | | | | | | | | | | |\n| Meyers Leonard | 27 | 14 | 7 | 0 | 6-11 | 55% | 2-6 | 33% | 0-0 | 0% | 0 | 2 | 0 | 1 | 6 | 5 | N/A | Portland |\n| Damian Lillard | 30 | 14 | 2 | 2 | 4-18 | 22% | 1-6 | 17% | 5-6 | 83% | 0 | 2 | 0 | 0 | 2 | 1 | G | Portland |\n| CJ McCollum | 27 | 13 | 2 | 2 | 6-18 | 33% | 1-6 | 17% | 0-2 | 0% | 1 | 1 | 0 | 1 | 1 | 2 | G | Portland |\n| Mason Plumlee | 22 | 12 | 4 | 1 | 4-7 | 57% | 0-0 | 0% | 4-7 | 57% | 1 | 3 | 2 | 3 | 1 | 2 | C | Portland |\n| Noah Vonleh | 21 | 9 | 5 | 1 | 3-5 | 60% | 0-1 | 0% | 3-4 | 75% | 1 | 1 | 0 | 1 | 4 | 5 | F | Portland |\n| Ed Davis | 17 | 9 | 3 | 0 | 3-4 | 75% | 0-0 | 0% | 3-3 | 100% | 0 | 0 | 1 | 2 | 1 | 3 | N/A | Portland |\n| Gerald Henderson | 19 | 9 | 5 | 2 | 4-7 | 57% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 5 | 0 | N/A | Portland |\n| Tim Frazier | 12 | 3 | 1 | 5 | 1-3 | 33% | 0-2 | 0% | 1-2 | 50% | 1 | 0 | 0 | 0 | 1 | 2 | N/A | Portland |\n| Al-Farouq Aminu | 25 | 2 | 6 | 0 | 1-5 | 20% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 0 | 1 | 5 | 1 | F | Portland |\n| Allen Crabbe | 20 | 2 | 1 | 3 | 1-4 | 25% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Portland |\n| Maurice Harkless | 14 | 2 | 1 | 1 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 1 | 2 | 1 | 0 | 1 | 1 | N/A | Portland |\n| Pat Connaughton | 6 | 0 | 1 | 0 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Portland |\n| Chris Kaman | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |" + }, + { + "from": "human", + "value": "A merged cell in a table can be described using the JSON {'top-left':(X1, Y1), 'bottom-right':(X2, Y2)}. Here, '(X1, Y1)' represents the top-left and '(X2, Y2)' the bottom-right cells' (row_id, column_id) of the merged region. Using the displayed table image, identify all such merged cells in this table and report their locations in the given format. Note that the numbering of both row and column IDs starts at 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "Generate a detailed match report for the NBA game on 01/16/2016. The game statistics are shown in the given picture." + }, + { + "from": "gpt", + "value": "The Philadelphia 76ers (5-37) blew out the Portland Trail Blazers (18-25) on Saturday, 114-89. This was easily the Sixers best performance of the season, as they took care of business against a hot Portland team. The game got our of hand early, as Philadelphia carried a 25-point lead into halftime. Almost everything was clicking tonight for Philly, as the Sixers outshot the Blazers by 17 percent while also outrebounding, outassisting, and tying in the turnover battle. It 's games likes these that give Sixers fans some hope for the future and this looks like a completely different team with Ish Smith in the fold. Portland was playing in the second half of a back-to-back here and it was clearly evident through their poor play. Damian Lillard and C.J McCollum have been carrying this team all year, but the two combined to shoot 10-for-36 from the field while accumulating just 27 points, four rebounds and four assists. No player on this team had more than 14 points, seven rebounds or five assists and that 's a bad sign for success. The Blazers shot just 39 percent from the field and this will be one of those games they 'd just like to get on the plane and forget forever. Portland will look to play better on Monday against the Washington Wizards in their next fixture. This Philadelphia team has been playing much better since the acquisition of Ish Smith and this performance emphasizes that fact. This Sixers team at the beginning of the season would have had no chance to beat a team by 25 points and this is a great sign going forward. Five different players scored at least 14 points tonight for Philly with all five combining to shoot over 50 percent from the field in the win. Jahlil Okafor was their best player tonight though, as he finished with 25 points and 10 rebounds. Nerlens Noel 's four-point, eight-rebound line doesn’t look great, but his four blocks and four steals were a huge game changer tonight. Richaun Holmes also had a nice game off the bench in garbage time, as he tallied 14 points and six rebounds. The 76ers will look to build off this dominating win when they take on the New York Knicks on Monday." + } + ] + }, + { + "id": "table_instructV_multi_round_10577", + "image": "table_instructV/images/TABMWP_6102.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Mixture | Temperature (°C) |\n| --- | --- |\n| Bromine mixture | -4 |\n| Acetone mixture | 5 |" + }, + { + "from": "human", + "value": "According to the table, solve this problem and give detail solutions. Format the ultimate answer as a JSON, using the structure {\"answer\": \"\"}.\n\nIn science class, Tanvi is measuring the temperature of different chemical mixtures. The temperatures of two mixtures are shown in the table. Which mixture's temperature is closest to zero? (A) bromine mixture (B) acetone mixture" + }, + { + "from": "gpt", + "value": "A positive number means the temperature is above zero. A negative number means the temperature is below zero.\nTo find the temperature closest to zero, use absolute value. The absolute value of a temperature tells you how far it is from zero.\nBromine mixture: |-4| = 4\nAcetone mixture: |5| = 5\nThe temperature of the bromine mixture is closest to zero. It is only 4 degrees below zero.\n\nThus, the final answer is {\"answer\": \"bromine mixture\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_10616", + "image": "table_instructV/images/TabFact_2-13047884-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| year | competition | venue | position | event |\n| --- | --- | --- | --- | --- |\n| 2007 | european championships | sofia , bulgaria | 3rd | 48 kg |\n| 2007 | world championships | baku , azerbaijan | 8th | 48 kg |\n| 2008 | european championships | tampere , finland | 2nd | 51 kg |\n| 2008 | olympic games | beijing , republic of china | 12th | 48 kg |\n| 2009 | european championships | vilnius , lithuania | 10th | 51 kg |\n| 2009 | world championships | herning , denmark | 1st | 51 kg |\n| 2010 | european championships | baku , azerbaijan | 1st | 51 kg |\n| 2010 | world championships | moscow , russia | 3rd | 51 kg |\n| 2011 | world championships | istanbul , turkey | 2nd | 59 kg |\n| 2012 | european championships | belgrade , serbia | 2nd | 55 kg |\n| 2012 | olympic games | london , great britain | 7th | 55 kg |\n| 2013 | european championships | tbilisi , georgia | 1st | 55 kg |" + }, + { + "from": "human", + "value": "This is a table image titled 'sofia mattsson', help me determine if the table confirms or disproves the following sentence. Show your final answer in the JSON format {\"answer\": \"\"}.\nthe only event listed in 2011 is the world championships" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it confirms the sentence. Hence, the answer is {\"answer\": \"confirms\"}." + }, + { + "from": "human", + "value": "Watch the table in this image and convert it into an HTML table in the text form." + }, + { + "from": "gpt", + "value": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n
year competition venue position event
2007 european championships sofia , bulgaria 3rd 48 kg
2007 world championships baku , azerbaijan 8th 48 kg
2008 european championships tampere , finland 2nd 51 kg
2008 olympic games beijing , republic of china 12th 48 kg
2009 european championships vilnius , lithuania 10th 51 kg
2009 world championships herning , denmark 1st 51 kg
2010 european championships baku , azerbaijan 1st 51 kg
2010 world championships moscow , russia 3rd 51 kg
2011 world championships istanbul , turkey 2nd 59 kg
2012 european championships belgrade , serbia 2nd 55 kg
2012 olympic games london , great britain 7th 55 kg
2013 european championships tbilisi , georgia 1st 55 kg
" + }, + { + "from": "human", + "value": "Give you a table titled 'sofia mattsson' and a claim which is 'the highest event weight as shown in the table event section was 55 kg at the world championships', select the correct relation between the table and the claim based on the table information. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\n\n(A) supports (the claim is true)\n(B) refutes (the claim is false)" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table refutes the validity of the claim. Therefore, the final answer: {\"answer\": \"refutes\"}." + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following sentence is supported or challenged by the table. The final result should be presented in the JSON format of {\"answer\": \"\"}.\ntable title:sofia mattsson\nsentence: the finish was 1st a total of three times" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the sentence is valid. Hence, the answer is {\"answer\": \"supported\"}." + }, + { + "from": "human", + "value": "Analyze this table picture about 'sofia mattsson' and classify whether the given table supports or contradicts the hypothesis. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\n\nthe best finish recorded was 12th place in 2008" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it contradicts the hypothesis. So, the answer is {\"answer\": \"contradicts\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_10625", + "image": "table_instructV/images/TAT-QA_55a6d4e1-749a-4f1f-a17f-057574f0a67b.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| | 2019 | | 2018 | |\n| --- | --- | --- | --- | --- |\n| (In thousands, except percentages) | Dollars | % of Revenue | Dollars | % of Revenue |\n| Revenue | $3,090,325 | 100.0% | $2,973,536 | 100.0% |\n| Cost of goods sold | 1,895,142 | 61.3 | 1,826,570 | 61.4 |\n| Gross profit | 1,195,183 | 38.7 | 1,146,966 | 38.6 |\n| Research and development | 450,482 | 14.6 | 445,103 | 15.0 |\n| Selling, general, and administrative | 476,074 | 15.4 | 527,751 | 17.7 |\n| Other operating expense | 52,161 | 1.7 | 103,830 | 3.5 |\n| Operatingincome | $216,466 | 7.0% | $70,282 | 2.4% |" + }, + { + "from": "human", + "value": "Answer the following question based on this table. Conclude your response with the final answer in the JSON format, structured as {\"answer\": []}.\nWhat is the company's average cost of goods sold in 2018 and 2019?" + }, + { + "from": "gpt", + "value": "According to this table, we have the following calculations: (1826570 + 1895142)/2 = 1860856.\nThus, the answer is {\"answer\": [\"1860856\"]}." + }, + { + "from": "human", + "value": "Refer to the provided table, and respond succinctly to the subsequent question. Output the final answer as JSON in the format {\"answer\": []}.\nQuestion: What are the company's respective cost of goods sold in 2018 and 2019?" + }, + { + "from": "gpt", + "value": "Based on the table information, the answer is {\"answer\": [\"1,826,570\", \"1,895,142\"]}." + }, + { + "from": "human", + "value": "Use the data from the table to answer the following inquiry concisely. The final result should be presented in the JSON format of {\"answer\": []} like {\"answer\": [\"emotional abuse\", \"July\"]}.\nWhat are the company's respective revenue in 2018 and 2019?" + }, + { + "from": "gpt", + "value": "According to the table, the final answer is {\"answer\": [\"$2,973,536\", \"$3,090,325\"]}." + }, + { + "from": "human", + "value": "Look at the table, and use the information to answer the question. Present the final answer as JSON in the format {\"answer\": []}.\nWhat is the company's average gross profit in 2018 and 2019?" + }, + { + "from": "gpt", + "value": "Based on the table, we need to conduct the following computations:\n(1146966 + 1195183)/2 = 1171074.5\nTherefore, the final answer: {\"answer\": [\"1171074.5\"]}." + }, + { + "from": "human", + "value": "Watch the table in this image and convert it into a Latex table in the text form." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|}\n\\hline\n & 2019 & & 2018 & \\\\\n\\hline\n (In thousands, except percentages) & Dollars & \\% of Revenue & Dollars & \\% of Revenue \\\\\n\\hline\n Revenue & \\$3,090,325 & 100.0\\% & \\$2,973,536 & 100.0\\% \\\\\n\\hline\n Cost of goods sold & 1,895,142 & 61.3 & 1,826,570 & 61.4 \\\\\n\\hline\n Gross profit & 1,195,183 & 38.7 & 1,146,966 & 38.6 \\\\\n\\hline\n Research and development & 450,482 & 14.6 & 445,103 & 15.0 \\\\\n\\hline\n Selling, general, and administrative & 476,074 & 15.4 & 527,751 & 17.7 \\\\\n\\hline\n Other operating expense & 52,161 & 1.7 & 103,830 & 3.5 \\\\\n\\hline\n Operatingincome & \\$216,466 & 7.0\\% & \\$70,282 & 2.4\\% \\\\\n\\hline\n\\end{tabular}" + }, + { + "from": "human", + "value": "What are the company's respective gross profit in 2018 and 2019?\nAccording to the shown table image, answer the question in brief. Format the ultimate answer as a JSON, using the structure {\"answer\": []}." + }, + { + "from": "gpt", + "value": "Based on the table information, the answer is {\"answer\": [\"1,146,966\", \"1,195,183\"]}." + }, + { + "from": "human", + "value": "What is the company's average revenue in 2018 and 2019?\nAnswer the above question based on the provided table. Provide a concluding answer in a JSON structure, using the format {\"answer\": []} such as {\"answer\": [\"20\", \"apple\"]}." + }, + { + "from": "gpt", + "value": "Based on the given table:\n($2973536 + $3090325)/2 = 3031930.5\nTherefore, the answer is {\"answer\": [\"3031930.5\"]}." + } + ] + }, + { + "id": "table_instructV_multi_round_10696", + "image": "table_instructV/images/Rotowire_train_table_1031.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Spurs | San Antonio | 106 | 22 | 26 | 33 | 25 | 22 | 44 | 12 | 52 | 92 | 46 | 1 | 0 | | | | |\n| Grizzlies | Memphis | 74 | 13 | 24 | 14 | 23 | 17 | 35 | 16 | 39 | 67 | 44 | 0 | 1 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Kawhi Leonard | 29 | 20 | 2 | 0 | 8-13 | 62% | 3-6 | 50% | 1-1 | 100% | 4 | 1 | 3 | 1 | 1 | 0 | F | San Antonio |\n| LaMarcus Aldridge | 27 | 17 | 4 | 0 | 8-15 | 53% | 0-0 | 0% | 1-1 | 100% | 0 | 1 | 2 | 3 | 1 | 1 | F | San Antonio |\n| Patty Mills | 19 | 15 | 4 | 2 | 4-8 | 50% | 3-7 | 43% | 4-4 | 100% | 2 | 0 | 0 | 0 | 4 | 0 | N/A | San Antonio |\n| Tony Parker | 21 | 15 | 1 | 6 | 6-10 | 60% | 0-0 | 0% | 3-3 | 100% | 0 | 3 | 0 | 0 | 1 | 1 | G | San Antonio |\n| Kevin Martin | 12 | 10 | 1 | 1 | 4-6 | 67% | 2-3 | 67% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | San Antonio |\n| Tim Duncan | 22 | 7 | 11 | 0 | 3-4 | 75% | 0-0 | 0% | 1-2 | 50% | 1 | 2 | 2 | 1 | 10 | 1 | C | San Antonio |\n| Boban Marjanovic | 10 | 6 | 1 | 1 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | San Antonio |\n| Boris Diaw | 21 | 4 | 2 | 5 | 2-6 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | San Antonio |\n| David West | 17 | 4 | 5 | 2 | 1-3 | 33% | 0-0 | 0% | 2-2 | 100% | 0 | 2 | 0 | 2 | 3 | 2 | N/A | San Antonio |\n| Jonathon Simmons | 8 | 3 | 1 | 1 | 1-4 | 25% | 1-2 | 50% | 0-0 | 0% | 1 | 1 | 0 | 1 | 0 | 0 | N/A | San Antonio |\n| Danny Green | 20 | 3 | 3 | 0 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 3 | 0 | 0 | 0 | 3 | 1 | G | San Antonio |\n| Manu Ginobili | 21 | 2 | 7 | 3 | 1-5 | 20% | 0-2 | 0% | 0-0 | 0% | 1 | 0 | 1 | 0 | 7 | 1 | N/A | San Antonio |\n| Kyle Anderson | 15 | 0 | 2 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 1 | 1 | 3 | N/A | San Antonio |\n| Grizzlies | | | | | | | | | | | | | | | | | | |\n| Vince Carter | 19 | 16 | 3 | 2 | 6-7 | 86% | 2-3 | 67% | 2-2 | 100% | 0 | 1 | 1 | 0 | 3 | 2 | G | Memphis |\n| Lance Stephenson | 29 | 14 | 2 | 2 | 6-11 | 55% | 2-4 | 50% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 1 | N/A | Memphis |\n| Tony Allen | 21 | 7 | 3 | 1 | 3-9 | 33% | 1-1 | 100% | 0-0 | 0% | 0 | 2 | 1 | 2 | 1 | 2 | N/A | Memphis |\n| JaMychal Green | 19 | 7 | 2 | 0 | 3-7 | 43% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 1 | 1 | 2 | N/A | Memphis |\n| Zach Randolph | 28 | 6 | 5 | 3 | 3-13 | 23% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 0 | 1 | 4 | 2 | F | Memphis |\n| Jordan Farmar | 22 | 6 | 2 | 3 | 2-6 | 33% | 2-3 | 67% | 0-0 | 0% | 0 | 1 | 1 | 0 | 2 | 1 | G | Memphis |\n| Jarell Martin | 23 | 5 | 4 | 0 | 2-3 | 67% | 0-0 | 0% | 1-2 | 50% | 1 | 1 | 0 | 2 | 2 | 1 | N/A | Memphis |\n| PJ Hairston | 12 | 5 | 0 | 0 | 2-4 | 50% | 1-2 | 50% | 0-0 | 0% | 1 | 1 | 0 | 0 | 0 | 1 | N/A | Memphis |\n| Xavier Munford | 28 | 4 | 1 | 4 | 2-9 | 22% | 0-2 | 0% | 0-0 | 0% | 3 | 2 | 1 | 0 | 1 | 1 | N/A | Memphis |\n| Matt Barnes | 23 | 2 | 4 | 1 | 1-7 | 14% | 0-3 | 0% | 0-0 | 0% | 0 | 3 | 0 | 1 | 3 | 2 | F | Memphis |\n| Chris Andersen | 17 | 2 | 9 | 1 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 1 | 3 | 6 | 1 | C | Memphis |\n| Mike Conley | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Brandan Wright | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |" + }, + { + "from": "human", + "value": "This image presents a table, and I'd like to know its row and column numbers. Present the final answer in a JSON format {\"row_number\": \"m\", \"column_number\": \"n\"} such as {\"row_number\": \"2\", \"column_number\": \"3\"}." + }, + { + "from": "gpt", + "value": "This table has 33 rows and 19 columns. Thus, the final answer is {\"row_number\": \"33\", \"column_number\": \"19\"}." + }, + { + "from": "human", + "value": "A table may have multiple merged cells and we can represent a merged cell region by a JSON {'top-left':(R1, C1), 'bottom-right':(R2, C2)}. Here, '(R1, C1)' and '(R2, C2)' denote the coordinates (row_id, column_id) of the top-left and bottom-right cells of the merged regions, respectively. Now, based on the shown table image, please find all merged cells in this table and return their representations in the above format. Keep in mind that row and column IDs start from 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "Given a table containing data statistics of an NBA basketball game between Spurs and Grizzlies on 17th April, 2016, generate a summary for this game according to the given table." + }, + { + "from": "gpt", + "value": "The San Antonio Spurs defeated the visiting Memphis Grizzlies, 106-74, in Game 1 of the Western Conference first-round playoffs Sunday at AT & T Center. The Spurs trailed for only about 25 seconds early in the game before they ran right passed the Grizzlies to a lopsided finish. They began to pull away late in the second quarter, closing out the half on a 90 run. The Spurs came out of the locker room after halftime in domination mode, as they out-scored the Grizzlies 33-14 in the third quarter, to build a 30-point lead heading into the final quarter. The large deficit allowed coach Gregg Popovich to rest his starters and get some of his reserves valuable playoff minutes during the final quarter. Kawhi Leonard was the high-point man for San Antonio, with 20 points (8-13 FG, 3-6 3Pt, 1-1 FT) and also led the way defensively with four steals and three blocked shots, in 28 minutes of action. LaMarcus Aldridge totaled 17 points (8-15 FG, 1-1 FT), four rebounds and two blocks, in 27 minutes, while Tony Parker was solid at the point, with 15 points and six assists, in 20 minutes. The Spurs shot 52 percent from the field, including 44 percent from long range, and were solid at the free throw line, hitting 12-13. Recent addition, Kevin Martin made an impact in 12 minutes off the bench, with 10 points on 4-6 shooting, including 2-3 from distance. After a competitive start, the Grizzlies were not able to maintain the offensive proficiency necessary to compete with San Antonio 's renown defense. Only two players scored in double digits for Memphis, including Vince Carter, who led the way with 16 points (6-7 FG, 2-3 3Pt, 2-2 FT), along with three rebounds two assists and one block, in 19 minutes. Carter started the game at the shooting guard position, as opposed to Lance Stephenson, who came off the bench. Stephenson finished the game with 14 points (6-11 FG, 2-4 3Pt), two rebounds, two assists and one steal, in 28 minutes. The Grizzlies gave up 17 turnovers and shot only 39 percent from the field, as they were out-played in San Antonio. Game 2 will take place on Tuesday in San Antonio." + }, + { + "from": "human", + "value": "Retrieve the values of cells at the given table positions, indicated by row and column indices. Format each cell value as a JSON, using the structure {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"\"}.\nPositions to check:\nrow 21 and column 16,\nrow 2 and column 14," + }, + { + "from": "gpt", + "value": "The extracted cell contents are listed below.\n{\"row_id\":\"21\", \"column_id\":\"16\", \"cell_value\":\"3\"}\n{\"row_id\":\"2\", \"column_id\":\"14\", \"cell_value\":\"1\"}" + } + ] + }, + { + "id": "table_instructV_multi_round_10721", + "image": "table_instructV/images/TabFact_2-12200520-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| film | director (s) | recipient | date | award |\n| --- | --- | --- | --- | --- |\n| hallo panda | ben blaine , chris blaine | charlie productions ltd | 5 / 4 / /06 | 25000 |\n| soft | simon ellis | bub ltd | 22 / 3 / 06 | 25000 |\n| dog 's mercury | martin radich | warp films ltd | 4 / 5 / 06 | 25000 |\n| honeymoon | miranda bowen | 2 am films ltd | 15 / 3 / 06 | 25000 |\n| after the rain | gaelle dennis | passion pictures | 14 / 6 / 6 | 25000 |" + }, + { + "from": "human", + "value": "Examine the table titled 'cinema extreme' and judge whether the table substantiates or challenges the following claim. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nhallo panda , soft and dog 's mercury all have have female directors" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it challenges the claim. So, the answer is {\"answer\": \"challenges\"}." + }, + { + "from": "human", + "value": "Examine the table with the caption 'cinema extreme', classify whether the provided table upholds or disputes the statement. Output the final answer as JSON in the format {\"answer\": \"\"}.\nstatement: gaelle dennis directed after the rain , while martin radich directed dog 's mercury" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it upholds the statement. So, the answer is {\"answer\": \"upholds\"}." + }, + { + "from": "human", + "value": "Examine whether the table confirms or disputes the subsequent claim. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\ntable title: 'cinema extreme'\nclaim: honeymoon was released before soft in march of 2006" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it confirms the claim. So, the answer is {\"answer\": \"confirms\"}." + }, + { + "from": "human", + "value": "Examine the table titled 'cinema extreme' and judge whether the table substantiates or challenges the following claim. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\ngaelle dennis directed after the rain , while martin radich directed soft" + }, + { + "from": "gpt", + "value": "Based on the table, the claim can not hold true. Thus, the final answer is {\"answer\": \"challenges\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_10875", + "image": "table_instructV/images/TabFact_2-10784488-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| name | founded | institution | location | status |\n| --- | --- | --- | --- | --- |\n| alpha | 1879 | columbia university | new york city , ny , us | inactive , 2009 |\n| alpha beta | 1899 | university of minnesota | minneapolis / st paul , mn , us | inactive , 2007 |\n| alpha nu | 1991 | claremont colleges | claremont , ca , us | inactive , 2007 |\n| alpha omega | 1984 | villanova university | radnor township , pa , us | inactive , 1999 |\n| beta sigma | 2007 | university of georgia | athens , ga , us | inactive , 2008 |\n| gamma | 1875 | syracuse university | syracuse , ny , us | inactive , 2007 |\n| delta alpha | 1990 | university of colorado | boulder , co , us | inactive , 1996 |\n| delta kappa | 2001 | university of new brunswick | fredericton , nb , ca | inactive , 2004 |\n| epsilon | 1852 | brown university | providence , ri , us | inactive , 1986 |\n| zeta | 1848 | williams college | williamstown , ma , us | inactive , 1991 |\n| theta tau | 1994 | university of vermont | burlington , vt , us | inactive , 2002 |\n| iota delta | 1981 | university of california at davis | davis , ca , us | inactive , 1998 |\n| lambda | 1867 | bowdoin college | brunswick , me , us | inactive , 1991 |\n| mu | 1892 | stanford university | stanford , ca , us | inactive , 1998 |\n| mu alpha | 1999 | texas tech university | lubbock , tx , us | inactive , 2003 |\n| omicron sigma | 1962 | oregon state university | corvallis , or , us | inactive , 1971 |\n| rho | 1956 | middlebury college | middlebury , vt , us | inactive , 1987 |\n| rho epsilon | 1852 | harvard university | cambridge , ma , us | inactive , 1998 |\n| sigma zeta | 1924 | university of california , los angeles | los angeles , ca , us | inactive , 2009 |\n| tau alpha | 1992 | texas a&m university | college station , tx , us | inactive , 1998 |\n| tau delta | 1973 | lehigh university | bethlehem , pa , us | inactive , 2002 |\n| upsilon mu | 1975 | university of massachusetts | amherst , ma , us | inactive , 2009 |\n| chi | 1850 | colby college | waterville , me , us | inactive , 1989 |\n| chi gamma | 1967 | university of calgary | calgary , ab , ca | inactive , 2007 |\n| psi zeta | 1979 | ohio state university | columbus , oh , us | inactive , 1984 |\n| psi kappa | 1996 | university of southern california | los angeles , ca , us | inactive , 1998 |\n| omega | 1947 | northwestern university | evanston , il , us | inactive , 1993 |" + }, + { + "from": "human", + "value": "Based on the table titled 'list of zeta psi chapters' and the subsequent sentence, determine if the sentence is affirmed or disputed by the table. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nsentence: the chi chapter of zeta psi is still active" + }, + { + "from": "gpt", + "value": "By using the table as supporting evidence, it is evident that the sentence is incorrect. Consequently, the answer is {\"answer\": \"disputed\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title 'list of zeta psi chapters', and determine whether the given claim is affirmed or challenged by the table information. Show your final answer in the JSON format {\"answer\": \"\"}.\nclaim: there are only two chapters of zeta psi using gamma in the name , gamma and chi gamma" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the claim. Hence, the answer is {\"answer\": \"affirmed\"}." + }, + { + "from": "human", + "value": "Give you a table titled 'list of zeta psi chapters' and a statement which is 'alpha is the most recent zeta psi chapter to be formed', select the correct relation between the table and the statement based on the table information. The final result should be presented in the JSON format of {\"answer\": \"\"}.\n\n(A) upholds (the statement is true)\n(B) opposes (the statement is false)" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the statement is false. Consequently, the answer is {\"answer\": \"opposes\"}." + }, + { + "from": "human", + "value": "hypothesis: a chapters of zeta psi are listed as inactive\nJudge whether the above hypothesis is entailed or disproved by the given table named 'list of zeta psi chapters'. Format your final answer as a JSON, using the structure {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the hypothesis is valid. Hence, the answer is {\"answer\": \"entailed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_11030", + "image": "table_instructV/images/TabFact_2-17311797-11.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | series |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | april 19 | 76ers | l 98 - 100 (ot) | dwight howard (31) | dwight howard (16) | rafer alston (5) | amway arena 17461 | 0 - 1 |\n| 2 | april 22 | 76ers | w 96 - 87 (ot) | courtney lee (24) | dwight howard (10) | rashard lewis (6) | amway arena 17461 | 1 - 1 |\n| 3 | april 24 | 76ers | l 94 - 96 (ot) | dwight howard (36) | dwight howard (11) | courtney lee (5) | wachovia center 16492 | 1 - 2 |\n| 4 | april 26 | 76ers | w 84 - 81 (ot) | dwight howard (18) | dwight howard (18) | rafer alston (5) | wachovia center 16464 | 2 - 2 |\n| 5 | april 28 | 76ers | w 91 - 78 (ot) | dwight howard , rashard lewis (24) | dwight howard (24) | rafer alston , hedo türkoğlu (4) | amway arena 17461 | 3 - 2 |\n| 6 | april 30 | 76ers | w 114 - 89 (ot) | rashard lewis (29) | marcin gortat (15) | rafer alston (10) | wachovia center 16691 | 4 - 2 |" + }, + { + "from": "human", + "value": "Examine the table titled '2008 - 09 orlando magic season' and judge whether the table affirms or opposes the following statement. Output the final answer as JSON in the format {\"answer\": \"\"}.\ngame 3 took place on april 30th" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table opposes the validity of the statement. Therefore, the final answer: {\"answer\": \"opposes\"}." + }, + { + "from": "human", + "value": "Based on the table titled '2008 - 09 orlando magic season' and the subsequent statement, determine if the statement is confirmed or contradicted by the table. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nstatement: april 28 was game number 3" + }, + { + "from": "gpt", + "value": "According to the table, the statement is contradicted by the table information. Therefore, the final answer: {\"answer\": \"contradicted\"}." + }, + { + "from": "human", + "value": "In this task, you are given a table with its title '2008 - 09 orlando magic season', your goal is to distinguish whether this table supports or challenges the statement. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\ngame 3 was held on april 24th" + }, + { + "from": "gpt", + "value": "Based on the table, the statement holds true. Thus, the final answer is {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the latex representation of the table in text format." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|c|c|c|c|}\n\\hline\n game & date & team & score & high points & high rebounds & high assists & location attendance & series \\\\\n\\hline\n 1 & april 19 & 76ers & l 98 - 100 (ot) & dwight howard (31) & dwight howard (16) & rafer alston (5) & amway arena 17461 & 0 - 1 \\\\\n\\hline\n 2 & april 22 & 76ers & w 96 - 87 (ot) & courtney lee (24) & dwight howard (10) & rashard lewis (6) & amway arena 17461 & 1 - 1 \\\\\n\\hline\n 3 & april 24 & 76ers & l 94 - 96 (ot) & dwight howard (36) & dwight howard (11) & courtney lee (5) & wachovia center 16492 & 1 - 2 \\\\\n\\hline\n 4 & april 26 & 76ers & w 84 - 81 (ot) & dwight howard (18) & dwight howard (18) & rafer alston (5) & wachovia center 16464 & 2 - 2 \\\\\n\\hline\n 5 & april 28 & 76ers & w 91 - 78 (ot) & dwight howard , rashard lewis (24) & dwight howard (24) & rafer alston , hedo türkoğlu (4) & amway arena 17461 & 3 - 2 \\\\\n\\hline\n 6 & april 30 & 76ers & w 114 - 89 (ot) & rashard lewis (29) & marcin gortat (15) & rafer alston (10) & wachovia center 16691 & 4 - 2 \\\\\n\\hline\n\\end{tabular}" + }, + { + "from": "human", + "value": "Determine the relationship between the table and the claim, classify it as confirmed or disproved. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nTable title: 2008 - 09 orlando magic season\nclaim: the date of game number 3 is april 24" + }, + { + "from": "gpt", + "value": "Based on the table information, the claim is true. Thus, the answer is {\"answer\": \"confirmed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_11282", + "image": "table_instructV/images/TabFact_2-13054553-15.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| school | team | division record | overall record | season outcome |\n| --- | --- | --- | --- | --- |\n| sussex central | golden knights | 5 - 1 | 7 - 4 | loss in first round of div i playoffs |\n| caesar rodney | riders | 5 - 1 | 7 - 4 | loss in first round of div i playoffs |\n| dover | senators | 3 - 3 | 6 - 4 | failed to make playoffs |\n| sussex tech | ravens | 3 - 3 | 5 - 5 | failed to make playoffs |\n| cape henlopen | vikings | 2 - 4 | 5 - 5 | failed to make playoffs |\n| smyrna | eagles | 2 - 4 | 4 - 6 | failed to make playoffs |\n| milford | buccaneers | 1 - 5 | 3 - 7 | failed to make playoffs |" + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following hypothesis is upheld or disproved by the table. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\ntable title:henlopen conference\nhypothesis: the school of sussex tech 's team are the vikings" + }, + { + "from": "gpt", + "value": "By using the table as supporting evidence, it is evident that the hypothesis is incorrect. Consequently, the answer is {\"answer\": \"disproved\"}." + }, + { + "from": "human", + "value": "Determine the relationship between the table and the hypothesis, classify it as upheld or disproved. Output the final answer as JSON in the format {\"answer\": \"\"}.\nTable title: henlopen conference\nhypothesis: failed to make playoffs is the season outcome for the sussex central school" + }, + { + "from": "gpt", + "value": "By using the table as supporting evidence, it is evident that the hypothesis is incorrect. Consequently, the answer is {\"answer\": \"disproved\"}." + }, + { + "from": "human", + "value": "A table may have multiple merged cells and we can represent a merged cell region by a JSON {'top-left':(X1, Y1), 'bottom-right':(X2, Y2)}. Here, '(X1, Y1)' and '(X2, Y2)' denote the coordinates (row_id, column_id) of the top-left and bottom-right cells of the merged regions, respectively. Now, based on the shown table image, please find all merged cells in this table and return their representations in the above format. Keep in mind that row and column IDs start from 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "Examine the table image with the title 'henlopen conference', classify whether the statement is entailed or disputed based on the table's content and title. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nstatement: sussex tech 's school team is the ravens" + }, + { + "from": "gpt", + "value": "Based on the table information, the statement is true. Thus, the answer is {\"answer\": \"entailed\"}." + }, + { + "from": "human", + "value": "Based on the table titled 'henlopen conference' and the subsequent sentence, determine if the sentence is affirmed or disproved by the table. Output the final answer as JSON in the format {\"answer\": \"\"}.\nsentence: sussex central school lost in the first round of division i playoffs according to the season outcome" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the sentence. Hence, the answer is {\"answer\": \"affirmed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_11298", + "image": "table_instructV/images/TAT-QA_00234411-6779-46a1-915a-d58e3e27716a.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| | Year Ended December 31, | Year Ended December 31, | Year Ended December 31, | Variation | Variation |\n| --- | --- | --- | --- | --- | --- |\n| | 2019 | 2018 | 2017 | 2019 vs 2018 | 2018 vs 2017 |\n| | (In millions) | (In millions) | (In millions) | | |\n| Selling, general and administrative expenses | $(1,093) | $(1,095) | $(981) | 0.3% | (11.7)% |\n| Research and development expenses | (1,498) | (1,398) | (1,296) | (7.1) | (7.9) |\n| Total operating expenses | $(2,591) | $(2,493) | $(2,277) | (3.9)% | (9.5)% |\n| As percentage of net revenues | (27.1)% | (25.8)% | (27.3)% | -130 bps | +150 bps |" + }, + { + "from": "human", + "value": "The image shows a table. Answer the following question based on the table. In addition, output the final answer as JSON in the format {\"answer\": []}.\nWhat is the average Selling, general and administrative expenses?" + }, + { + "from": "gpt", + "value": "According to this table, we have the following calculations: (1093+1095+981) / 3 = 1056.33.\nThus, the answer is {\"answer\": [\"1056.33\"]}." + }, + { + "from": "human", + "value": "What is the average Research and development expenses?\nCarefully answer the question according to the table. Format the ultimate answer as a JSON, using the structure {\"answer\": []}." + }, + { + "from": "gpt", + "value": "Using the number listed in the table, we have the following computations: (1498+1398+1296) / 3 = 1397.33\n\nAs a result, the final answer is {\"answer\": [\"1397.33\"]}." + }, + { + "from": "human", + "value": "I need you to conduct the following task:\nGiven this table image, find all merged table cells and return merged regions with the JSON {'top-left':(X, Y), 'bottom-right':(Z, W)}, where (X, Y) and (Z, W) indicate the (row_id, column_id) of top-left and bottom-right cells in the merged regions, respectively. You should remember that row id and column id start from 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "Give you a table image. Inspect this table to answer the subsequent problem:\nWhat is the increase/ (decrease) in total operating expenses as percentage of net revenues from 2017 to 2019?\n\nPresent the final answer in a JSON format {\"answer\": []}." + }, + { + "from": "gpt", + "value": "Using the number listed in the table, we have the following computations: 27.1-27.3 = -0.2\n\nAs a result, the final answer is {\"answer\": [\"-0.2\"]}." + }, + { + "from": "human", + "value": "Retrieve the values of cells at the given table positions, indicated by row and column indices. Show the cell value in the JSON format {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"\"}.\nPositions to check:\nrow 3 and column 3,\nrow 2 and column 5,\nrow 6 and column 5,\nrow 6 and column 3," + }, + { + "from": "gpt", + "value": "The target cell values are as follows:\n{\"row_id\":\"3\", \"column_id\":\"3\", \"cell_value\":\"(In millions)\"}\n{\"row_id\":\"2\", \"column_id\":\"5\", \"cell_value\":\"2019 vs 2018\"}\n{\"row_id\":\"6\", \"column_id\":\"5\", \"cell_value\":\"(3.9)%\"}\n{\"row_id\":\"6\", \"column_id\":\"3\", \"cell_value\":\"$(2,493)\"}" + }, + { + "from": "human", + "value": "This image depicts a table. How many rows and columns does this table have? Output the final answer in the JSON format {\"row_number\": \"m\", \"column_number\": \"n\"}. For instance, if the table has 5 rows and 4 columns, the answer would be {\"row_number\": \"5\", \"column_number\": \"4\"}" + }, + { + "from": "gpt", + "value": "This table has 7 rows and 6 columns. Thus, the final answer is {\"row_number\": \"7\", \"column_number\": \"6\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_11403", + "image": "table_instructV/images/ToTTo_train_table_23964.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Pos | Player | G | AB | H | Avg. | HR | RBI |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| C | Johnny Bassler | 119 | 388 | 119 | .307 | 0 | 56 |\n| 1B | Lu Blue | 153 | 585 | 180 | .308 | 5 | 75 |\n| 2B | Ralph Young | 107 | 401 | 120 | .299 | 0 | 29 |\n| 3B | Bob Jones | 141 | 554 | 168 | .303 | 1 | 72 |\n| SS | Donie Bush | 104 | 402 | 113 | .281 | 0 | 27 |\n| OF | Bobby Veach | 150 | 612 | 207 | .338 | 16 | 128 |\n| OF | Ty Cobb | 128 | 507 | 197 | .389 | 12 | 101 |\n| OF | Harry Heilmann | 149 | 602 | 237 | .394 | 19 | 139 |" + }, + { + "from": "human", + "value": "This image shows a Wikipedia table extracted from a section.\nTable title: 1921 Detroit Tigers season\nTable section title: Starters by position\n Using the provided table and its metadata, write a sentence to summarize the information in the highlighted table cells." + }, + { + "from": "gpt", + "value": "Outfielder Harry Heilmann in 1921, averaged .394." + } + ] + }, + { + "id": "table_instructV_multi_round_11659", + "image": "table_instructV/images/TabFact_1-11094950-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| team | location | joined | conference | division | previous conference |\n| --- | --- | --- | --- | --- | --- |\n| canton chiefs | canton township | 2008 | kensington | south | western lakes activities association |\n| churchill chargers | livonia | 2008 | kensington | south | western lakes activities association |\n| franklin patriots | livonia | 2008 | kensington | south | western lakes activities association |\n| john glenn rockets | westland | 2008 | kensington | south | western lakes activities association |\n| plymouth wildcats | canton township | 2008 | kensington | south | western lakes activities association |\n| wayne memorial zebras | wayne | 2008 | kensington | south | western lakes activities association |\n| northville mustangs | northville | 2008 | kensington | central | western lakes activities association |\n| novi wildcats | novi | 2008 | kensington | central | kensington valley conference |\n| salem rocks | canton township | 2008 | kensington | central | western lakes activities association |\n| south lyon lions | south lyon | 2008 | kensington | central | kensington valley conference |\n| south lyon east cougars | south lyon | 2008 | kensington | central | none (school opened in 2008) |\n| stevenson spartans | livonia | 2008 | kensington | central | western lakes activities association |\n| lakeland eagles | white lake | 2008 | lakes | north | kensington valley conference |\n| walled lake central vikings | commerce township | 2008 | lakes | north | western lakes activities association |\n| walled lake northern knights | commerce township | 2008 | lakes | north | western lakes activities association |\n| walled lake western warriors | commerce township | 2008 | lakes | north | western lakes activities association |\n| waterford kettering captains | waterford | 2008 | lakes | north | oakland activities association |\n| waterford mott corsairs | waterford | 2008 | lakes | north | oakland activities association |\n| brighton bulldogs | brighton | 2008 | lakes | west | kensington valley conference |\n| grand blanc bobcats | grand blanc | 2009 | lakes | west | big nine conference |\n| hartland eagles | hartland township | 2008 | lakes | west | kensington valley conference |\n| howell highlanders | howell | 2008 | lakes | west | kensington valley conference |\n| milford mavericks | highland township | 2008 | lakes | west | kensington valley conference |" + }, + { + "from": "human", + "value": "Examine the table titled 'kensington lakes activities association' and judge whether the table supports or disputes the following statement. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nthe stevenson spartans are in the west division" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the statement is false. Consequently, the answer is {\"answer\": \"disputes\"}." + }, + { + "from": "human", + "value": "Examine whether the table substantiates or conflicts with the subsequent statement. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\ntable title: 'kensington lakes activities association'\nstatement: the stevenson spartans located in livonia were in the central division" + }, + { + "from": "gpt", + "value": "Based on the table, the statement holds true. Thus, the final answer is {\"answer\": \"substantiates\"}." + }, + { + "from": "human", + "value": "Examine whether the table supports or conflicts with the subsequent sentence. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\ntable title: 'kensington lakes activities association'\nsentence: the milford mavericks team is located in highland township" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the sentence. Consequently, the answer is {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "Analyze this table picture about 'kensington lakes activities association' and classify whether the given table affirms or disputes the statement. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\n\nthe milford mavericks previous conference was the big nine conference" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it disputes the statement. So, the answer is {\"answer\": \"disputes\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_11760", + "image": "table_instructV/images/TabFact_2-10758004-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| event | time | nationality | date | meet | location |\n| --- | --- | --- | --- | --- | --- |\n| 50 m freestyle | 22.11 | australia | 28 august 2013 | 2013 championships | dubai , united arab emirates |\n| 100 m freestyle | 48.97 | united states | 31 august 2013 | 2013 championships | dubai , united arab emirates |\n| 200 m freestyle | 1:47.55 | australia | 27 august 2013 | 2013 championships | dubai , united arab emirates |\n| 400 m freestyle | 3:47.12 | australia | 26 august 2013 | 2013 championships | dubai , united arab emirates |\n| 800 m freestyle | 7:45.67 | australia | 28 august 2013 | 2013 championships | dubai , united arab emirates |\n| 1500 m freestyle | 14:56.60 | australia | 31 august 2013 | 2013 championships | dubai , united arab emirates |\n| 50 m backstroke | 25.44 | russia | 29 august 2013 | 2013 championships | dubai , united arab emirates |\n| 100 m backstroke | 54.87 | greece | 27 august 2013 | 2013 championships | dubai , united arab emirates |\n| 200 m backstroke | 1:57.92 | italy | 31 august 2013 | 2013 championships | dubai , united arab emirates |\n| 50 m breaststroke | 27.74 | slovenia | 30 august 2013 | 2013 championships | dubai , united arab emirates |\n| 100 m breaststroke | 1:00.88 | russia | 27 august 2013 | 2013 championships | dubai , united arab emirates |\n| 200 m breaststroke | 2:10.75 | russia | 29 august 2013 | 2013 championships | dubai , united arab emirates |\n| 50 m butterfly | 23.61 | new zealand | 11 july 2008 | 2008 championships | monterrey , mexico |\n| 100 m butterfly | 52.52 | new zealand | 9 july 2008 | 2008 championships | monterrey , mexico |\n| 200 m butterfly | 1:56.42 | united states | 31 august 2013 | 2013 championships | dubai , united arab emirates |\n| 200 m individual medley | 1:59.44 | united states | 27 august 2013 | 2013 championships | dubai , united arab emirates |\n| 400 m individual medley | 4:14.97 | united states | 30 august 2013 | 2013 championships | dubai , united arab emirates |\n| 4100 m freestyle relay | 3:16.96 | australia | 26 august 2013 | 2013 championships | dubai , united arab emirates |\n| 4200 m freestyle relay | 7:15.36 | great britain | 29 august 2013 | 2013 championships | dubai , united arab emirates |\n| 4100 m medley relay | 3:38.13 | japan | 31 august 2013 | 2013 championships | dubai , united arab emirates |" + }, + { + "from": "human", + "value": "Look at the table in the image and show any merged cells, specifying their locations with the JSON format of {'top-left':(A, B), 'bottom-right':(C, D)}, where A, B, C and D are indices (starting from 1) of the first row, the first column, the last row and the last column, respectively." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "Examine whether the table entails or disproves the subsequent claim. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\ntable title: 'fina world junior swimming championships'\nclaim: the event with a time of 7:45.67 is the 800 m freestyle" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it entails the claim. So, the answer is {\"answer\": \"entails\"}." + }, + { + "from": "human", + "value": "This is a table image titled 'fina world junior swimming championships', help me determine if the table substantiates or disputes the following claim. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nthe 100 m backstroke record occurred at the 2008 championships in new zealand" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it disputes the claim. So, the answer is {\"answer\": \"disputes\"}." + }, + { + "from": "human", + "value": "Based on the table image about 'fina world junior swimming championships' and the subsequent hypothesis, determine if the table entails or disputes the subsequent hypothesis. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nhypothesis: the event with a time of 7:45.67 is not the 800 m freestyle , it is the 400 m freestyle time" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it disputes the hypothesis. So, the answer is {\"answer\": \"disputes\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_11888", + "image": "table_instructV/images/Rotowire_train_table_2180.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Timberwolves | Minnesota | 106 | 25 | 27 | 25 | 29 | 18 | 46 | 18 | 44 | 77 | 39 | 8 | 12 | | | | |\n| Clippers | LA | 110 | 29 | 21 | 21 | 39 | 21 | 43 | 17 | 44 | 90 | 32 | 12 | 9 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Zach LaVine | 25 | 21 | 3 | 2 | 7-16 | 44% | 1-2 | 50% | 6-6 | 100% | 1 | 2 | 0 | 0 | 3 | 2 | N/A | Minnesota |\n| Karl-Anthony Towns | 29 | 18 | 5 | 2 | 7-9 | 78% | 3-3 | 100% | 1-2 | 50% | 0 | 2 | 2 | 0 | 5 | 6 | C | Minnesota |\n| Ricky Rubio | 29 | 16 | 5 | 7 | 4-8 | 50% | 0-1 | 0% | 8-8 | 100% | 4 | 6 | 0 | 1 | 4 | 2 | G | Minnesota |\n| Gorgui Dieng | 30 | 14 | 5 | 2 | 5-10 | 50% | 0-0 | 0% | 4-4 | 100% | 0 | 2 | 0 | 1 | 4 | 5 | N/A | Minnesota |\n| Shabazz Muhammad | 26 | 13 | 9 | 0 | 4-10 | 40% | 0-3 | 0% | 5-7 | 71% | 0 | 1 | 0 | 4 | 5 | 0 | N/A | Minnesota |\n| Nemanja Bjelica | 17 | 9 | 4 | 1 | 3-5 | 60% | 2-4 | 50% | 1-1 | 100% | 0 | 1 | 0 | 2 | 2 | 3 | N/A | Minnesota |\n| Andrew Wiggins | 31 | 8 | 7 | 0 | 3-15 | 20% | 1-4 | 25% | 1-5 | 20% | 1 | 2 | 1 | 3 | 4 | 4 | F | Minnesota |\n| Kevin Garnett | 19 | 5 | 3 | 2 | 2-5 | 40% | 0-0 | 0% | 1-2 | 50% | 1 | 1 | 0 | 0 | 3 | 5 | F | Minnesota |\n| Tayshaun Prince | 20 | 2 | 3 | 2 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 2 | 0 | 0 | 0 | 3 | 1 | N/A | Minnesota |\n| Kevin Martin | 14 | 0 | 2 | 0 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 1 | G | Minnesota |\n| Adreian Payne | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Damjan Rudez | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Andre Miller | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Clippers | | | | | | | | | | | | | | | | | | |\n| DeAndre Jordan | 34 | 20 | 12 | 0 | 8-9 | 89% | 0-0 | 0% | 4-6 | 67% | 2 | 1 | 4 | 6 | 6 | 4 | C | LA |\n| Jamal Crawford | 27 | 18 | 3 | 7 | 5-11 | 46% | 4-6 | 67% | 4-4 | 100% | 1 | 2 | 0 | 0 | 3 | 2 | N/A | LA |\n| Blake Griffin | 37 | 16 | 11 | 5 | 7-17 | 41% | 0-1 | 0% | 2-2 | 100% | 1 | 3 | 0 | 3 | 8 | 4 | F | LA |\n| Chris Paul | 32 | 14 | 1 | 5 | 5-14 | 36% | 1-2 | 50% | 3-3 | 100% | 4 | 5 | 0 | 0 | 1 | 4 | G | LA |\n| JJ Redick | 22 | 13 | 3 | 0 | 1-9 | 11% | 0-5 | 0% | 11-11 | 100% | 0 | 2 | 0 | 0 | 3 | 0 | G | LA |\n| Wesley Johnson | 22 | 10 | 2 | 1 | 4-6 | 67% | 2-4 | 50% | 0-0 | 0% | 1 | 0 | 2 | 1 | 1 | 2 | N/A | LA |\n| Josh Smith | 15 | 8 | 3 | 0 | 4-7 | 57% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 3 | 1 | 2 | 3 | N/A | LA |\n| Austin Rivers | 17 | 7 | 4 | 3 | 3-5 | 60% | 0-2 | 0% | 1-1 | 100% | 0 | 1 | 0 | 1 | 3 | 2 | N/A | LA |\n| Lance Stephenson | 13 | 3 | 1 | 0 | 1-2 | 50% | 1-2 | 50% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 3 | N/A | LA |\n| Luc Mbah a Moute | 16 | 1 | 3 | 0 | 0-4 | 0% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 0 | 1 | 2 | 2 | F | LA |\n| Paul Pierce | 6 | 0 | 0 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 0 | N/A | LA |\n| Cole Aldrich | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |\n| Pablo Prigioni | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |" + }, + { + "from": "human", + "value": "Taking into account the statistical tables from the NBA match between Timberwolves and Clippers on 2015-12-07, how would you describe the game in a comprehensive summary that highlights its significant events and outcomes?" + }, + { + "from": "gpt", + "value": "The Los Angeles Clippers (12-9) defeated the Minnesota Timberwolves (8-12) 110-106 on Friday thanks to some fourth quarter heroics. The Clippers pulled off an impressive win in Minnesota thanks to a 39-point fourth quarter. Los Angeles outscored Minnesota 39-29 in those final 12 minutes and took an interesting strategy to a win. They continues to foul in the final 30 seconds when up by three and made it a free-throw competition. In fact, there were nearly 20 free-throw attempts combined in the final 30 seconds. The Clippers shot 26-for-19 from the charity stripe and that proved to be the difference in the game. The Clippers have now won five of their last six games and things are turning around. Chris Paul and J.J. Redick seemed very unlikely to play in this game, but both started and played well. DeAndre Jordan was the hero tonight though, as he tallied 20 points, 12 rebounds and four blocks in the win. Jamal Crawford also had a great game off the bench, as he contributed 18 points and seven assists as well. This team has all the talent in the world and it appears to be finally coming together. Los Angeles will look to add to this hot stretch when they take on the struggling Milwaukee Bucks on Wednesday. The Timberwolves looked in control of this game in the third quarter, but couldn’t hold off the Clippers. They are now 2-9 at home this season and that’s something they 'll need to figure out over time. The bench was a bright spot in the loss though, as they totaled 59 points between five players. The Wolves best player on Monday was Ricky Rubio, as he amassed 16 points, seven assists, five rebounds and four steals in the defeat. Even with the home struggles, they should have a good chance at a win when they host the Los Angeles Lakers on Wednesday in their next scheduled game." + } + ] + }, + { + "id": "table_instructV_multi_round_11938", + "image": "table_instructV/images/TAT-QA_6e1794a9-8adc-4fbe-8075-73755e6774ac.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| Name | Age | Position |\n| --- | --- | --- |\n| Michael Hsing | 60 | President, Chief Executive Officer and Director |\n| Bernie Blegen | 62 | Vice President and Chief Financial Officer |\n| Deming Xiao | 57 | President of Asia Operations |\n| Maurice Sciammas | 60 | Senior Vice President of Worldwide Sales and Marketing |\n| Saria Tseng | 49 | Vice President, Strategic Corporate Development, General Counsel and Corporate Secretary |" + }, + { + "from": "human", + "value": "Read the table to answer the following questions. Present the final answer in a JSON format {\"answer\": []}.\nWhat is the average age of the Executive Officers? " + }, + { + "from": "gpt", + "value": "According to this table, we have the following calculations: (60+62+57+60+49)/5 = 57.6.\nThus, the answer is {\"answer\": [\"57.6\"]}." + }, + { + "from": "human", + "value": "In this task, you are provided with a table image and several target cells. You are required to determine the positions of these cells, which can be represented in the json {'value': '', 'location': (Row_ID, Column_ID)}, with both row IDs and column IDs start from 1. Use 'DOES NOT EXIST' as the location for a non-existing cell in the table.\nCell values are shown below:\n1. 'Senior Vice President of Worldwide Sales and Marketing';\n2. 'Michael Hsing';\n3. 'Vice President and Chief Financial Officer';\n4. '49';\n5. 'Position';\n6. 'President of Asia Operations';\n7. 'Bernie Blegen';\n8. 'President, Chief Executive Officer and Director';\n9. 'Deming Xiao';\n10. '[38]';" + }, + { + "from": "gpt", + "value": "The coordinates of target cells are listed below.\n1. {'value': 'Senior Vice President of Worldwide Sales and Marketing', 'location': (5, 3)}\n2. {'value': 'Michael Hsing', 'location': (2, 1)}\n3. {'value': 'Vice President and Chief Financial Officer', 'location': (3, 3)}\n4. {'value': '49', 'location': (6, 2)}\n5. {'value': 'Position', 'location': (1, 3)}\n6. {'value': 'President of Asia Operations', 'location': (4, 3)}\n7. {'value': 'Bernie Blegen', 'location': (3, 1)}\n8. {'value': 'President, Chief Executive Officer and Director', 'location': (2, 3)}\n9. {'value': 'Deming Xiao', 'location': (4, 1)}\n10. {'value': '[38]', 'location': 'DOES NOT EXIST'}" + }, + { + "from": "human", + "value": "Return the values of the cells in the following table postions:\nrow 1 and column 3,\nrow 6 and column 2,\nrow 2 and column 1,\nrow 1 and column 2,\nrow 5 and column 1,\nrow 1 and column 1,\nrow 4 and column 3,\n\nRequirements: The value of every target cell should be presented in the JSON format of {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"\"}, e.g., {\"row_id\":\"10\", \"column_id\":\"3\", \"cell_value\":\"District\"}." + }, + { + "from": "gpt", + "value": "The extracted cell contents are listed below.\n{\"row_id\":\"1\", \"column_id\":\"3\", \"cell_value\":\"Position\"}\n{\"row_id\":\"6\", \"column_id\":\"2\", \"cell_value\":\"49\"}\n{\"row_id\":\"2\", \"column_id\":\"1\", \"cell_value\":\"Michael Hsing\"}\n{\"row_id\":\"1\", \"column_id\":\"2\", \"cell_value\":\"Age\"}\n{\"row_id\":\"5\", \"column_id\":\"1\", \"cell_value\":\"Maurice Sciammas\"}\n{\"row_id\":\"1\", \"column_id\":\"1\", \"cell_value\":\"Name\"}\n{\"row_id\":\"4\", \"column_id\":\"3\", \"cell_value\":\"President of Asia Operations\"}" + } + ] + }, + { + "id": "table_instructV_multi_round_11954", + "image": "table_instructV/images/TAT-QA_af991b68-84d9-4f11-8137-f8bb99bd6786.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| | Weighted Average Useful Life | April 4, 2016 |\n| --- | --- | --- |\n| | (in years) | (in millions) |\n| Core and developed technology | 11 | $1,075.0 |\n| In-process research and development | — | 140.7 |\n| Customer-related | 6 | 630.6 |\n| Backlog | 1 | 40.3 |\n| Other | 5 | 1.8 |\n| Total purchased intangible assets | | $1,888.4 |" + }, + { + "from": "human", + "value": "Give you some cell positions and a table image, extract the corresponding cell values in these positions:\nthe 5th row and the 2nd column,\nthe 4th row and the 2nd column,\n\nOutput each cell content as JSON in the format {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"\"}." + }, + { + "from": "gpt", + "value": "The extracted cell contents are listed below.\n{\"row_id\":\"5\", \"column_id\":\"2\", \"cell_value\":\"6\"}\n{\"row_id\":\"4\", \"column_id\":\"2\", \"cell_value\":\"—\"}" + }, + { + "from": "human", + "value": "Please inspect the table image and then provide an answer to the next question. Provide a concluding answer in a JSON structure, using the format {\"answer\": []} such as {\"answer\": [\"20\", \"apple\"]}.\nWhat was the sum of the amount of Core and developed technology and in-process research and development assets?" + }, + { + "from": "gpt", + "value": "According to this table, we have the following calculations: 1075.0+140.7 = 1215.7.\nThus, the answer is {\"answer\": [\"1215.7\"]}." + }, + { + "from": "human", + "value": "Please consult the table and use it to respond to the question below. In the end, output your final answer using the JSON: {\"answer\": []}.\nWhat was the difference in Weighted Average Useful Life between Core and developed technology and customer-related assets?" + }, + { + "from": "gpt", + "value": "According to this table, we have the following calculations: 11-6 = 5.\nThus, the answer is {\"answer\": [\"5\"]}." + }, + { + "from": "human", + "value": "Given the table, answer the following question in detail. The concluding answer should be in the JSON structure, formatted as {\"answer\": []}. For instance, {\"answer\": [\"23\", \"14.5\"]}.\nWhat was the Core and developed technology assets as a percentage of Total purchased intangible assets?" + }, + { + "from": "gpt", + "value": "According to this table, we have the following calculations: 1075.0/1888.4 = 56.93.\nThus, the answer is {\"answer\": [\"56.93\"]}." + }, + { + "from": "human", + "value": "Given the table image, answer the following question briefly. Present the final answer in a JSON format {\"answer\": []}.\nWhat was the amount of core and developed technology?" + }, + { + "from": "gpt", + "value": "According to the table, the final answer is {\"answer\": [\"1,075.0\"]}." + } + ] + }, + { + "id": "table_instructV_multi_round_12049", + "image": "table_instructV/images/TABMWP_32863.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of bracelets | Number of opals |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | ? |" + }, + { + "from": "human", + "value": "Each bracelet has 2 opals. How many opals are on 3 bracelets? (Unit: opals)\n\nSolve the above problem using the table information. Provide a concluding answer in a JSON structure, using the format {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "Count by twos. Use the chart: there are 6 opals on 3 bracelets.\n\nThus, the final answer is {\"answer\": \"6\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_12102", + "image": "table_instructV/images/ToTTo_train_table_6123.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| Name | Title | Notes | Approximate time frame | Sources |\n| --- | --- | --- | --- | --- |\n| Corineus | | In the time of Brutus | c. 1100 BC | Historia Regum Britanniae |\n| Gwendolen | Queen | Daughter of Corineus, became queen regnant of Britain | c. 1075 BC | Historia Regum Britanniae |\n| Henwinus | Duke | In the time of Leir | c. 750 BC | Historia Regum Britanniae |\n| Cunedagius | Duke | In the time of Queen Cordelia | c. 715 BC | Historia Regum Britanniae |\n| Cloten | King | During pentarchy after Ferrex and Porrex | c. 450 BC | Historia Regum Britanniae |\n| Dunvallo Molmutius | King | Then king of Britain | c. 420 BC | Historia Regum Britanniae |\n| Belinus | | As king of Loegria, Kambria, and Cornwall | c. 390 BC | Historia Regum Britanniae |\n| Tenvantius | Duke | Made duke by Cassibelanus; later succeeds him as king of Britain | c. 55 BC | Historia Regum Britanniae |\n| Asclepiodotus | Duke | Becomes king of Britain | c. 295 AD | Historia Regum Britanniae |\n| Caradocus | Duke/king | Put forward Maximianus as king of Britain and was king of Cornwall under him | c. 380 AD | Historia Regum Britanniae |\n| Dionotus | King | Made regent of Britain during Maximianus' campaigns | c. 390 AD | Historia Regum Britanniae |\n| Gorlois | Duke | First husband of Igraine, Arthur's mother | c. 510 AD | Historia Regum Britanniae |\n| Cador | Duke/king | Relative of Arthur | c. 530 AD | Historia Regum Britanniae |\n| Constantine | Duke | Subsequently, king of Britain | 542 AD | Historia Regum Britanniae |\n| Blederic | Duke | At the time Augustine arrives | 597 AD | Historia Regum Britanniae |" + }, + { + "from": "human", + "value": "Give you a Wikipedia table titled 'List of legendary rulers of Cornwall'. Its section title is 'Historia Regum Britanniae'. \nBased on the table and above metadata, generate a one-sentence description about highlighted table cells." + }, + { + "from": "gpt", + "value": "Caradocus, was the Duke of Cornwall." + } + ] + }, + { + "id": "table_instructV_multi_round_12167", + "image": "table_instructV/images/TABMWP_3602.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | Social worker | Doctor |\n| --- | --- | --- |\n| Fear of snakes | 3 | 5 |\n| Fear of heights | 4 | 6 |" + }, + { + "from": "human", + "value": "Watch the table in this image and convert it into a Latex table in the text form." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|}\n\\hline\n & Social worker & Doctor \\\\\n\\hline\n Fear of snakes & 3 & 5 \\\\\n\\hline\n Fear of heights & 4 & 6 \\\\\n\\hline\n\\end{tabular}" + }, + { + "from": "human", + "value": "Give you a table. Please solve the math problem below, showing each step. Provide a concluding answer in a JSON structure, using the format {\"answer\": \"\"}.\n\nA college professor asked his Psychology students to complete a personality test. He paid special attention to his students' career goals and their greatest fears. What is the probability that a randomly selected student has a fear of snakes and wants to be a doctor? Simplify any fractions." + }, + { + "from": "gpt", + "value": "Let A be the event \"the student has a fear of snakes\" and B be the event \"the student wants to be a doctor\".\nTo find the probability that a student has a fear of snakes and wants to be a doctor, first identify the sample space and the event.\nThe outcomes in the sample space are the different students. Each student is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the student has a fear of snakes and wants to be a doctor\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the student has a fear of snakes and wants to be a doctor\", so look at the table to see how many students have a fear of snakes and want to be a doctor.\nThe number of students who have a fear of snakes and want to be a doctor is 5.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of students.\n3 + 4 + 5 + 6 = 18\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{5}{18}\nThe probability that a student has a fear of snakes and wants to be a doctor is \\frac{5}{18}.\n\nTherefore, the final answer is {\"answer\": \"5/18\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_12168", + "image": "table_instructV/images/TABMWP_35557.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $440 | 20,100 | 1,400 |\n| $640 | 15,500 | 5,800 |\n| $840 | 10,900 | 10,200 |\n| $1,040 | 6,300 | 14,600 |\n| $1,240 | 1,700 | 19,000 |" + }, + { + "from": "human", + "value": "Problem: \nLook at the table. Then answer the question. At a price of $840, is there a shortage or a surplus? (A) shortage (B) surplus\n\nAnswer the above problem related to the table. Conclude your response with the final answer in the JSON format, structured as {\"answer\": \"\"}.\nSolution:" + }, + { + "from": "gpt", + "value": "At the price of $840, the quantity demanded is greater than the quantity supplied. There is not enough of the good or service for sale at that price. So, there is a shortage.\n\n\nSo, the answer is {\"answer\": \"shortage\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_12173", + "image": "table_instructV/images/TABMWP_14540.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| | Access Bank | City One Bank |\n| --- | --- | --- |\n| Checking account services | Free with minimum average monthly balance of $1,000; Otherwise $8 per month | $10 per month |\n| ATM transactions (bank ATM) | $1 per transaction | No ATM fee |\n| ATM transactions (nonbank ATM) | $2 per transaction | $3 per transaction |\n| Account statements | Free online statements; $4 per month for paper statements | Free online statements; $5 per month for paper statements |" + }, + { + "from": "human", + "value": "Question: This table shows checking account features and fees for two banks in Franklin County. Brett is going to college and wants to open a checking account. He plans to keep an average balance of about $500 in the account. He plans to use a bank ATM 4 times each month. Brett prefers paper statements to help him manage his money. Which bank is the better choice for Brett? (A) Access Bank (B) City One Bank\nSolve the above question based on the table. Provide a concluding answer in a JSON structure, using the format {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "To determine which bank is the better choice for Brett, compare the fees each bank would charge him. See which bank would charge him less.\n\nFind the fees Brett should expect to pay in one month at Access Bank.\nSince he does not expect to have a $1,000 average monthly balance, there is an $8 fee for having the checking account.\nThere is a $1 fee for each bank ATM transaction. For 4 bank ATM transactions, he expects to pay $4 in fees.\nThere is a $4 fee for paper statements.\n\nIn all, Brett should expect to pay $8 + $4 + $4 = $16 per month at Access Bank.\n\nFind the fees Brett should expect to pay in one month at City One Bank.\nThere is a $10 fee for having the checking account.\nThere is no fee for using the bank's ATMs.\nThere is a $5 fee for paper statements.\n\nIn all, Brett should expect to pay $10 + $5 = $15 per month at City One Bank.\n\nBrett should expect to pay $16 per month at Access Bank or $15 per month at City One Bank. City One Bank is the better choice for Brett.\n\nThus, the final answer is {\"answer\": \"City One Bank\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_12563", + "image": "table_instructV/images/TabFact_2-17290135-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| place | player | country | score | to par | money |\n| --- | --- | --- | --- | --- | --- |\n| 1 | cary middlecoff | united states | 71 + 70 + 70 + 70 = 281 | + 1 | 6000 |\n| t2 | julius boros | united states | 71 + 71 + 71 + 69 = 282 | + 2 | 2650 |\n| t2 | ben hogan | united states | 72 + 68 + 72 + 70 = 282 | + 2 | 2650 |\n| t4 | ed furgol | united states | 71 + 70 + 73 + 71 = 285 | + 5 | 1033 |\n| t4 | ted kroll | united states | 72 + 70 + 70 + 73 = 285 | + 5 | 1033 |\n| t4 | peter thomson | australia | 70 + 69 + 75 + 71 = 285 | + 5 | 1033 |\n| 7 | arnold palmer | united states | 72 + 70 + 72 + 73 = 287 | + 7 | 600 |\n| 8 | ken venturi (a) | united states | 77 + 71 + 68 + 73 = 289 | + 9 | 0 |\n| t9 | jerry barber | united states | 72 + 69 + 74 + 75 = 290 | + 10 | 416 |\n| t9 | wes ellis | united states | 71 + 70 + 71 + 78 = 290 | + 10 | 416 |\n| t9 | doug ford | united states | 71 + 75 + 70 + 74 = 290 | + 10 | 416 |" + }, + { + "from": "human", + "value": "Using the information in the table image about '1956 u.s. open (golf)', determine whether the next sentence is supported or challenged by the table. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\n\nthe players tied for fourth place each made 600 less than the winner" + }, + { + "from": "gpt", + "value": "By using the table as supporting evidence, it is evident that the sentence is incorrect. Consequently, the answer is {\"answer\": \"challenged\"}." + }, + { + "from": "human", + "value": "In this task, you are given a table with its title '1956 u.s. open (golf)', your goal is to distinguish whether this table entails or contradicts the sentence. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nben hogan finished ahead of arnold palmer and doug ford" + }, + { + "from": "gpt", + "value": "Based on the table, the sentence holds true. Thus, the final answer is {\"answer\": \"entails\"}." + }, + { + "from": "human", + "value": "Presented with a table with the title '1956 u.s. open (golf)', distinguish whether the table entails or contradicts the following sentence. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nsentence: nine of the top ten players were from the united states" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it entails the sentence. So, the answer is {\"answer\": \"entails\"}." + }, + { + "from": "human", + "value": "Analyze this table picture about '1956 u.s. open (golf)' and classify whether the given table substantiates or opposes the claim. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\n\njerry barber was the only amateur player to make the top ten" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the claim is false. Consequently, the answer is {\"answer\": \"opposes\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_12565", + "image": "table_instructV/images/Rotowire_train_table_2587.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Knicks | New York | 107 | 28 | 32 | 21 | 26 | 26 | 43 | 13 | 47 | 100 | 31 | 7 | 7 | | | | |\n| Trail Blazers | Portland | 103 | 33 | 25 | 23 | 22 | 18 | 44 | 16 | 44 | 81 | 27 | 8 | 8 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Knicks | | | | | | | | | | | | | | | | | | |\n| Kristaps Porzingis | 40 | 31 | 9 | 1 | 13-23 | 56% | 3-8 | 38% | 2-2 | 100% | 0 | 2 | 1 | 3 | 6 | 4 | F | New York |\n| Derrick Rose | 28 | 18 | 4 | 5 | 8-15 | 53% | 0-0 | 0% | 2-2 | 100% | 2 | 1 | 1 | 2 | 2 | 4 | G | New York |\n| Carmelo Anthony | 36 | 17 | 6 | 0 | 7-22 | 32% | 3-9 | 33% | 0-0 | 0% | 1 | 1 | 1 | 2 | 4 | 3 | F | New York |\n| Mindaugas Kuzminskas | 21 | 10 | 3 | 1 | 4-6 | 67% | 2-3 | 67% | 0-0 | 0% | 1 | 1 | 0 | 0 | 3 | 2 | N/A | New York |\n| Willy Hernangomez | 21 | 9 | 4 | 0 | 4-5 | 80% | 0-0 | 0% | 1-1 | 100% | 0 | 4 | 0 | 0 | 4 | 3 | N/A | New York |\n| Justin Holiday | 19 | 7 | 5 | 4 | 3-4 | 75% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 0 | 0 | 5 | 2 | N/A | New York |\n| Courtney Lee | 27 | 5 | 4 | 3 | 2-8 | 25% | 0-4 | 0% | 1-1 | 100% | 1 | 1 | 1 | 1 | 3 | 1 | G | New York |\n| Brandon Jennings | 22 | 4 | 3 | 11 | 2-6 | 33% | 0-4 | 0% | 0-0 | 0% | 2 | 0 | 0 | 1 | 2 | 1 | N/A | New York |\n| Kyle O'Quinn | 24 | 4 | 5 | 1 | 2-6 | 33% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 1 | 4 | 2 | C | New York |\n| Maurice Ndour | 3 | 2 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 1 | 0 | 0 | 1 | N/A | New York |\n| Marshall Plumlee | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Sasha Vujacic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Ron Baker | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Trail Blazers | | | | | | | | | | | | | | | | | | |\n| Damian Lillard | 35 | 22 | 5 | 6 | 8-18 | 44% | 2-6 | 33% | 4-4 | 100% | 2 | 5 | 0 | 0 | 5 | 1 | G | Portland |\n| CJ McCollum | 36 | 16 | 5 | 5 | 6-17 | 35% | 1-3 | 33% | 3-3 | 100% | 0 | 1 | 0 | 1 | 4 | 2 | G | Portland |\n| Maurice Harkless | 34 | 15 | 8 | 0 | 6-13 | 46% | 1-3 | 33% | 2-4 | 50% | 1 | 3 | 1 | 1 | 7 | 3 | F | Portland |\n| Ed Davis | 33 | 14 | 10 | 0 | 7-9 | 78% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 2 | 4 | 6 | 2 | F | Portland |\n| Evan Turner | 24 | 11 | 1 | 2 | 4-8 | 50% | 0-0 | 0% | 3-3 | 100% | 1 | 0 | 0 | 0 | 1 | 0 | N/A | Portland |\n| Mason Plumlee | 28 | 9 | 9 | 4 | 4-5 | 80% | 0-0 | 0% | 1-3 | 33% | 0 | 4 | 1 | 4 | 5 | 1 | C | Portland |\n| Allen Crabbe | 23 | 7 | 3 | 0 | 1-7 | 14% | 1-3 | 33% | 4-5 | 80% | 0 | 0 | 0 | 1 | 2 | 1 | N/A | Portland |\n| Meyers Leonard | 19 | 7 | 1 | 1 | 2-9 | 22% | 1-7 | 14% | 2-2 | 100% | 1 | 0 | 0 | 0 | 1 | 3 | N/A | Portland |\n| Noah Vonleh | 6 | 2 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 2 | 1 | 0 | 2 | 0 | N/A | Portland |\n| Pat Connaughton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Shabazz Napier | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Jake Layman | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Tim Quarterman | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |" + }, + { + "from": "human", + "value": "Examine the data records in this picture, which depict an NBA game held on 22th November, 2016. Use these data statistics to generate a comprehensive summary of the game." + }, + { + "from": "gpt", + "value": "The New York Knicks defeated the visiting Portland Trail Blazers, 107-103, at Madison Square Garden on Tuesday. The Knicks (7-7) continued their solid efforts at home with the hard-fought victory, which came on the strength of Kristaps Porzingis' 31 points, nine rebounds, an assist and a block. The second-year big man 's contributions were particularly valuable on a night where Carmelo Anthony was held to 7-of-22 shooting and 17 points overall by Maurice Harkless. Despite his relatively modest scoring output, the rest of the team, particularly the second unit, managed to pick up the slack, and New York shot 47 percent from the field overall. The Trail Blazers (8-8) were led by Damian Lillard 's 22 points, which he supplemented with six assists, five rebounds and two steals. Backcourt mate C.J. McCollum followed with a full stat line of 16 points, five rebounds and five assists. Harkless complemented his strong defensive work against Anthony by contributing 15 points, eight boards, a steal and a block. Ed Davis turned in a solid start at power forward, posting a 14-point, 10-rebound double-double that also included a pair of blocks. Evan Turner paced the reserves with 11 points. Derrick Rose was a distant second behind Porzingis with 18 points, five assists, four rebounds, two steals and a block, and made a key jumper with seven seconds left to give the Knicks their final four-point margin of victory. Anthony supplemented his scoring total with six rebounds, a steal and a block. The remaining members of the starting five, Kyle O'Quinn and Courtney Lee, combined for a modest nine points and nine rebounds, but the bench was able to contribute 32 points overall. Mindaugus Kuzminskas paced the second unit 's night with 10 points, three rebounds, an assist and a steal. The Trail Blazers hit the road again Wednesday to take on the Cleveland Cavaliers, while the Knicks remain home to face the Charlotte Hornets on Friday evening." + } + ] + }, + { + "id": "table_instructV_multi_round_12611", + "image": "table_instructV/images/Rotowire_train_table_2151.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Clippers | LA | 98 | 18 | 32 | 21 | 27 | 20 | 45 | 10 | 42 | 67 | 30 | 2 | 3 | | | | |\n| Trail Blazers | Portland | 108 | 18 | 27 | 26 | 37 | 22 | 53 | 9 | 45 | 65 | 35 | 3 | 2 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Clippers | | | | | | | | | | | | | | | | | | |\n| JJ Redick | 34 | 19 | 3 | 2 | 7-17 | 41% | 3-6 | 50% | 2-2 | 100% | 0 | 0 | 0 | 0 | 3 | 2 | G | LA |\n| Jamal Crawford | 44 | 17 | 3 | 4 | 6-23 | 26% | 1-5 | 20% | 4-4 | 100% | 2 | 1 | 0 | 0 | 3 | 3 | F | LA |\n| Jeff Green | 37 | 17 | 6 | 2 | 6-10 | 60% | 1-2 | 50% | 4-8 | 50% | 3 | 1 | 0 | 1 | 5 | 3 | N/A | LA |\n| DeAndre Jordan | 31 | 16 | 17 | 3 | 5-8 | 63% | 0-0 | 0% | 6-11 | 55% | 0 | 1 | 3 | 4 | 13 | 4 | C | LA |\n| Austin Rivers | 37 | 13 | 3 | 3 | 6-13 | 46% | 1-3 | 33% | 0-1 | 0% | 0 | 3 | 0 | 0 | 3 | 1 | G | LA |\n| Cole Aldrich | 16 | 11 | 3 | 2 | 5-6 | 83% | 0-0 | 0% | 1-1 | 100% | 2 | 0 | 0 | 1 | 2 | 1 | N/A | LA |\n| Wesley Johnson | 13 | 5 | 5 | 0 | 1-2 | 50% | 0-1 | 0% | 3-3 | 100% | 0 | 1 | 0 | 1 | 4 | 2 | N/A | LA |\n| Pablo Prigioni | 15 | 0 | 2 | 4 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 1 | 5 | N/A | LA |\n| Jeff Ayres | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | LA |\n| CJ Wilcox | 2 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | LA |\n| Paul Pierce | 10 | 0 | 2 | 0 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 3 | F | LA |\n| Branden Dawson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |\n| Luc Mbah a Moute | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |\n| Trail Blazers | | | | | | | | | | | | | | | | | | |\n| CJ McCollum | 38 | 27 | 4 | 4 | 9-18 | 50% | 2-6 | 33% | 7-8 | 88% | 0 | 1 | 2 | 0 | 4 | 2 | G | Portland |\n| Damian Lillard | 39 | 22 | 1 | 5 | 7-20 | 35% | 5-10 | 50% | 3-4 | 75% | 3 | 2 | 0 | 0 | 1 | 1 | G | Portland |\n| Maurice Harkless | 33 | 19 | 10 | 0 | 7-14 | 50% | 2-6 | 33% | 3-6 | 50% | 0 | 1 | 0 | 2 | 8 | 5 | F | Portland |\n| Allen Crabbe | 27 | 11 | 4 | 3 | 4-10 | 40% | 2-5 | 40% | 1-2 | 50% | 1 | 0 | 0 | 1 | 3 | 2 | N/A | Portland |\n| Mason Plumlee | 32 | 10 | 15 | 4 | 4-6 | 67% | 0-0 | 0% | 2-2 | 100% | 2 | 2 | 0 | 4 | 11 | 4 | C | Portland |\n| Gerald Henderson | 23 | 10 | 5 | 4 | 4-8 | 50% | 1-2 | 50% | 1-2 | 50% | 1 | 0 | 1 | 0 | 5 | 2 | N/A | Portland |\n| Al-Farouq Aminu | 28 | 7 | 8 | 2 | 1-6 | 17% | 0-5 | 0% | 5-8 | 63% | 1 | 3 | 1 | 2 | 6 | 5 | F | Portland |\n| Ed Davis | 18 | 2 | 5 | 0 | 1-1 | 100% | 0-0 | 0% | 0-2 | 0% | 0 | 0 | 0 | 0 | 5 | 2 | N/A | Portland |\n| Pat Connaughton | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Portland |\n| Brian Roberts | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Portland |\n| Noah Vonleh | 1 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Portland |\n| Luis Montero | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Portland |\n| Chris Kaman | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |" + }, + { + "from": "human", + "value": "The image presents the statistics of an NBA game played on 27th April, 2016. Please analyze these data and provide a game summary." + }, + { + "from": "gpt", + "value": "The Portland Trail Blazers defeated the injury-riddled Los Angeles Clippers, 108-98, to take a 3-2 lead in their Western Conference first-round playoff series Wednesday night at Staples Center. It was business as usual for the dynamic duo of C.J. McCollum and Damian Lillard, as the backcourt pair combined for 49 points on the night. Both made an impact on the defensive end as well, with Lillard grabbing three steals and McCollum blocking two shots. The Blazers' starting frontcourt also made a splash, with Mo Harkless scoring 19 and Miles Plumlee pulling down 15 rebounds. It was a comfortable win for Portland, as the team held a 53-45 advantage on the boards and a 12-6 advantage in terms of three-point shooting. Los Angeles, meanwhile, has suffered a severe string of bad luck that threatens to cut its season short. All-Stars Blake Griffin (quad) and Chris Paul (hand) both had season-ending injuries announced earlier this week. The team went in shorthanded and without its normal superstar one-two punch on Wednesday, and the stars' absence showed. The team shot just 6-for-20 from three-point territory and saw disadvantages in rebounding, turnovers, assists, and free-throw shooting. While center DeAndre Jordan pulled down 17 rebounds, no other Clipper had more than six. The Blazers will attempt to sink the Clippers' ship on Friday as they return to Moda Center for Game 6." + }, + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the latex format." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|}\n\\hline\n TEAM-NAME & CITY & PTS & PTS\\_QTR1 & PTS\\_QTR2 & PTS\\_QTR3 & PTS\\_QTR4 & AST & REB & TOV & FG\\_PCT & FT\\_PCT & FG3\\_PCT & WINS & LOSSES & & & & \\\\\n\\hline\n Clippers & LA & 98 & 18 & 32 & 21 & 27 & 20 & 45 & 10 & 42 & 67 & 30 & 2 & 3 & & & & \\\\\n\\hline\n Trail Blazers & Portland & 108 & 18 & 27 & 26 & 37 & 22 & 53 & 9 & 45 & 65 & 35 & 3 & 2 & & & & \\\\\n\\hline\n & & & & & & & & & & & & & & & & & & \\\\\n\\hline\n PLAYER\\_NAME & MIN & PTS & REB & AST & FG & FG\\_PCT & FG3 & FG3\\_PCT & FT & FT\\_PCT & STL & TO & BLK & OREB & DREB & PF & START\\_POSITION & TEAM\\_CITY \\\\\n\\hline\n Clippers & & & & & & & & & & & & & & & & & & \\\\\n\\hline\n JJ Redick & 34 & 19 & 3 & 2 & 7-17 & 41\\% & 3-6 & 50\\% & 2-2 & 100\\% & 0 & 0 & 0 & 0 & 3 & 2 & G & LA \\\\\n\\hline\n Jamal Crawford & 44 & 17 & 3 & 4 & 6-23 & 26\\% & 1-5 & 20\\% & 4-4 & 100\\% & 2 & 1 & 0 & 0 & 3 & 3 & F & LA \\\\\n\\hline\n Jeff Green & 37 & 17 & 6 & 2 & 6-10 & 60\\% & 1-2 & 50\\% & 4-8 & 50\\% & 3 & 1 & 0 & 1 & 5 & 3 & N/A & LA \\\\\n\\hline\n DeAndre Jordan & 31 & 16 & 17 & 3 & 5-8 & 63\\% & 0-0 & 0\\% & 6-11 & 55\\% & 0 & 1 & 3 & 4 & 13 & 4 & C & LA \\\\\n\\hline\n Austin Rivers & 37 & 13 & 3 & 3 & 6-13 & 46\\% & 1-3 & 33\\% & 0-1 & 0\\% & 0 & 3 & 0 & 0 & 3 & 1 & G & LA \\\\\n\\hline\n Cole Aldrich & 16 & 11 & 3 & 2 & 5-6 & 83\\% & 0-0 & 0\\% & 1-1 & 100\\% & 2 & 0 & 0 & 1 & 2 & 1 & N/A & LA \\\\\n\\hline\n Wesley Johnson & 13 & 5 & 5 & 0 & 1-2 & 50\\% & 0-1 & 0\\% & 3-3 & 100\\% & 0 & 1 & 0 & 1 & 4 & 2 & N/A & LA \\\\\n\\hline\n Pablo Prigioni & 15 & 0 & 2 & 4 & 0-3 & 0\\% & 0-2 & 0\\% & 0-0 & 0\\% & 0 & 2 & 0 & 1 & 1 & 5 & N/A & LA \\\\\n\\hline\n Jeff Ayres & 2 & 0 & 0 & 0 & 0-0 & 0\\% & 0-0 & 0\\% & 0-0 & 0\\% & 0 & 0 & 0 & 0 & 0 & 0 & N/A & LA \\\\\n\\hline\n CJ Wilcox & 2 & 0 & 1 & 0 & 0-1 & 0\\% & 0-0 & 0\\% & 0-0 & 0\\% & 0 & 0 & 0 & 0 & 1 & 0 & N/A & LA \\\\\n\\hline\n Paul Pierce & 10 & 0 & 2 & 0 & 0-3 & 0\\% & 0-1 & 0\\% & 0-0 & 0\\% & 1 & 1 & 0 & 0 & 2 & 3 & F & LA \\\\\n\\hline\n Branden Dawson & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & LA \\\\\n\\hline\n Luc Mbah a Moute & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & LA \\\\\n\\hline\n Trail Blazers & & & & & & & & & & & & & & & & & & \\\\\n\\hline\n CJ McCollum & 38 & 27 & 4 & 4 & 9-18 & 50\\% & 2-6 & 33\\% & 7-8 & 88\\% & 0 & 1 & 2 & 0 & 4 & 2 & G & Portland \\\\\n\\hline\n Damian Lillard & 39 & 22 & 1 & 5 & 7-20 & 35\\% & 5-10 & 50\\% & 3-4 & 75\\% & 3 & 2 & 0 & 0 & 1 & 1 & G & Portland \\\\\n\\hline\n Maurice Harkless & 33 & 19 & 10 & 0 & 7-14 & 50\\% & 2-6 & 33\\% & 3-6 & 50\\% & 0 & 1 & 0 & 2 & 8 & 5 & F & Portland \\\\\n\\hline\n Allen Crabbe & 27 & 11 & 4 & 3 & 4-10 & 40\\% & 2-5 & 40\\% & 1-2 & 50\\% & 1 & 0 & 0 & 1 & 3 & 2 & N/A & Portland \\\\\n\\hline\n Mason Plumlee & 32 & 10 & 15 & 4 & 4-6 & 67\\% & 0-0 & 0\\% & 2-2 & 100\\% & 2 & 2 & 0 & 4 & 11 & 4 & C & Portland \\\\\n\\hline\n Gerald Henderson & 23 & 10 & 5 & 4 & 4-8 & 50\\% & 1-2 & 50\\% & 1-2 & 50\\% & 1 & 0 & 1 & 0 & 5 & 2 & N/A & Portland \\\\\n\\hline\n Al-Farouq Aminu & 28 & 7 & 8 & 2 & 1-6 & 17\\% & 0-5 & 0\\% & 5-8 & 63\\% & 1 & 3 & 1 & 2 & 6 & 5 & F & Portland \\\\\n\\hline\n Ed Davis & 18 & 2 & 5 & 0 & 1-1 & 100\\% & 0-0 & 0\\% & 0-2 & 0\\% & 0 & 0 & 0 & 0 & 5 & 2 & N/A & Portland \\\\\n\\hline\n Pat Connaughton & 1 & 0 & 0 & 0 & 0-0 & 0\\% & 0-0 & 0\\% & 0-0 & 0\\% & 0 & 0 & 0 & 0 & 0 & 0 & N/A & Portland \\\\\n\\hline\n Brian Roberts & 1 & 0 & 0 & 0 & 0-0 & 0\\% & 0-0 & 0\\% & 0-0 & 0\\% & 0 & 0 & 0 & 0 & 0 & 0 & N/A & Portland \\\\\n\\hline\n Noah Vonleh & 1 & 0 & 1 & 0 & 0-0 & 0\\% & 0-0 & 0\\% & 0-0 & 0\\% & 0 & 0 & 0 & 0 & 1 & 0 & N/A & Portland \\\\\n\\hline\n Luis Montero & 1 & 0 & 0 & 0 & 0-0 & 0\\% & 0-0 & 0\\% & 0-0 & 0\\% & 0 & 0 & 0 & 0 & 0 & 0 & N/A & Portland \\\\\n\\hline\n Chris Kaman & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Portland \\\\\n\\hline\n\\end{tabular}" + } + ] + }, + { + "id": "table_instructV_multi_round_12631", + "image": "table_instructV/images/ToTTo_train_table_3099.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| | | | | |\n| --- | --- | --- | --- | --- |\n| Game 1 (consolation) | Power | 39–52 | Ghost Ballers | |\n| Game 2 (Championship) | Trilogy | 51–46 | 3 Headed Monsters | |" + }, + { + "from": "human", + "value": "Consider the table titled '2017 Big3 season', with its section named 'Week 10 (Las Vegas, NV)' and supplementary text: The league's inaugural championship game was hosted at MGM Grand Garden Arena in Las Vegas, Nevada. A consolation game was also played between the two teams eliminated in the previous week's semifinals.\nDrawing from the table and the provided metadata, formulate a sentence describing the highlighted cells' content." + }, + { + "from": "gpt", + "value": "In 2017, Trilogy defeated the 3 Headed Monsters 51–46 in the Big3 Championship game." + } + ] + }, + { + "id": "table_instructV_multi_round_12635", + "image": "table_instructV/images/Rotowire_train_table_2580.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Magic | Orlando | 91 | 19 | 21 | 20 | 31 | 24 | 50 | 12 | 42 | 89 | 29 | 22 | 53 | | | | |\n| Spurs | San Antonio | 103 | 23 | 29 | 30 | 21 | 20 | 49 | 10 | 41 | 87 | 45 | 49 | 26 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Victor Oladipo | 40 | 24 | 6 | 7 | 9-19 | 47% | 2-3 | 67% | 4-4 | 100% | 0 | 3 | 0 | 1 | 5 | 1 | G | Orlando |\n| Tobias Harris | 40 | 18 | 7 | 1 | 7-14 | 50% | 1-3 | 33% | 3-4 | 75% | 1 | 2 | 1 | 1 | 6 | 2 | F | Orlando |\n| Nikola Vucevic | 33 | 16 | 11 | 5 | 8-21 | 38% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 3 | 3 | 8 | 0 | C | Orlando |\n| Elfrid Payton | 36 | 14 | 7 | 7 | 7-15 | 47% | 0-0 | 0% | 0-0 | 0% | 4 | 1 | 1 | 4 | 3 | 3 | G | Orlando |\n| Dewayne Dedmon | 24 | 7 | 10 | 0 | 3-3 | 100% | 0-0 | 0% | 1-1 | 100% | 0 | 2 | 1 | 3 | 7 | 6 | F | Orlando |\n| Luke Ridnour | 16 | 6 | 0 | 1 | 2-6 | 33% | 2-4 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Orlando |\n| Willie Green | 13 | 4 | 0 | 1 | 2-3 | 67% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 0 | 0 | N/A | Orlando |\n| Andrew Nicholson | 17 | 2 | 2 | 1 | 1-7 | 14% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 1 | 0 | 2 | 1 | N/A | Orlando |\n| Aaron Gordon | 11 | 0 | 2 | 1 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 2 | N/A | Orlando |\n| Maurice Harkless | 4 | 0 | 3 | 0 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 2 | 1 | 0 | N/A | Orlando |\n| Kyle O'Quinn | 6 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 2 | 0 | N/A | Orlando |\n| Channing Frye | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Ben Gordon | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Aron Baynes | 24 | 18 | 5 | 0 | 5-10 | 50% | 0-0 | 0% | 8-8 | 100% | 0 | 2 | 1 | 2 | 3 | 1 | N/A | San Antonio |\n| Manu Ginobili | 18 | 13 | 3 | 3 | 4-7 | 57% | 3-5 | 60% | 2-2 | 100% | 2 | 1 | 0 | 0 | 3 | 1 | N/A | San Antonio |\n| Marco Belinelli | 30 | 12 | 4 | 3 | 4-12 | 33% | 3-7 | 43% | 1-2 | 50% | 1 | 2 | 0 | 0 | 4 | 0 | N/A | San Antonio |\n| Boris Diaw | 24 | 11 | 4 | 4 | 4-9 | 44% | 2-5 | 40% | 1-1 | 100% | 2 | 1 | 1 | 1 | 3 | 0 | N/A | San Antonio |\n| Kawhi Leonard | 21 | 10 | 7 | 1 | 3-7 | 43% | 2-2 | 100% | 2-2 | 100% | 2 | 0 | 0 | 1 | 6 | 0 | F | San Antonio |\n| Tiago Splitter | 21 | 8 | 7 | 2 | 3-8 | 38% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 4 | 3 | 1 | C | San Antonio |\n| Cory Joseph | 26 | 8 | 7 | 2 | 4-8 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 7 | 3 | N/A | San Antonio |\n| Tony Parker | 22 | 7 | 0 | 4 | 2-7 | 29% | 1-1 | 100% | 2-2 | 100% | 0 | 0 | 0 | 0 | 0 | 1 | G | San Antonio |\n| Tim Duncan | 12 | 6 | 3 | 0 | 2-5 | 40% | 0-0 | 0% | 2-4 | 50% | 0 | 1 | 1 | 0 | 3 | 0 | F | San Antonio |\n| Danny Green | 15 | 3 | 2 | 0 | 1-3 | 33% | 1-3 | 33% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 1 | G | San Antonio |\n| Patty Mills | 12 | 3 | 3 | 1 | 1-4 | 25% | 1-4 | 25% | 0-0 | 0% | 1 | 0 | 0 | 1 | 2 | 0 | N/A | San Antonio |\n| Matt Bonner | 9 | 2 | 1 | 0 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | San Antonio |\n| Jeff Ayres | 6 | 2 | 3 | 0 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 1 | N/A | San Antonio |" + }, + { + "from": "human", + "value": "Tell me the row and column numbers of the shown table. Present the final answer in a JSON format {\"row_number\": \"m\", \"column_number\": \"n\"} such as {\"row_number\": \"2\", \"column_number\": \"3\"}." + }, + { + "from": "gpt", + "value": "There are 33 rows and 19 columns in the table. So, the final answer is {\"row_number\": \"33\", \"column_number\": \"19\"}." + }, + { + "from": "human", + "value": "Generate a detailed match report for the NBA game on 1st April, 2015. The game statistics are shown in the given picture." + }, + { + "from": "gpt", + "value": "The San Antonio Spurs (49-26) defeated the Orlando Magic (22-53) 103-91 on Wednesday. The Spurs took did some early damage to the Magic and that put them in a situation where they could rest their starters. Tony Parker led the San Antonio starters with 22 minutes ; he had seven points and four assists. Tim Duncan played just 12 minutes and scored six points to go with three rebounds and a block. With the starters getting some much-needed rest, it was up to the reserves to put nail the coffin on Orlando 's chances of getting their 13th home victory of the season. Aron Baynes led the Spurs with 18 points in 24 minutes off the bench. He and Marco Belinelli, as well as Manu Ginobli were the key cogs in the Spurs' bench brigade on Wednesday. Belinelli put in 12 points in a team-high 30 minutes. Ginobli had a plus 27 in the plus/minus statistic in just 18 minutes played. Orlando 's starters played very well against the Spurs, but did n't get enough help from their reserves to make it a game. The Magic got good all-around games from Nikola Vucevic, Victor Oladipo and Elfrid Payton. Vucevic had five assists from the center position as well as three blocked shots. Oladipo put in a game-high 24 points to go along with seven assists and six rebounds. Payton continued his stellar rookie season with seven, assists, seven rebounds, four steals and one block. His shot has been much improved over the past few months, he showed that against San Antonio going 7-for-15 from the field. The Magic have now lost four straight and ten of their last eleven games. The Magic will play the Timberwolves in Minnesota on Friday. The Spurs secured a playoff spot with their victory in Orlando ; they 'll take on the Denver Nuggets on Friday." + } + ] + }, + { + "id": "table_instructV_multi_round_12644", + "image": "table_instructV/images/TabFact_2-1105695-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| years | displacement | engine | power | torque |\n| --- | --- | --- | --- | --- |\n| 1999 - 2004 | 4.0l (242cid) | power tech i6 | - | 3000 rpm |\n| 1999 - 2004 | 4.7l (287cid) | powertech v8 | - | 3200 rpm |\n| 2002 - 2004 | 4.7l (287cid) | high output powertech v8 | - | - |\n| 1999 - 2001 | 3.1l diesel | 531 ohv diesel i5 | - | - |\n| 2002 - 2004 | 2.7l diesel | om647 diesel i5 | - | - |" + }, + { + "from": "human", + "value": "Based on the table titled 'jeep grand cherokee' and the subsequent hypothesis, determine if the hypothesis is entailed or disputed by the table. Show your final answer in the JSON format {\"answer\": \"\"}.\nhypothesis: the displacement of the 1999 - 2001 jeep grand cherokee had 0.4 less displacement than the 2002 - 2004 jeep grand cherokees" + }, + { + "from": "gpt", + "value": "Based on the evidence presented in the table, we can conclude that the hypothesis is not true. Therefore, the answer is {\"answer\": \"disputed\"}." + }, + { + "from": "human", + "value": "Determine the relationship between the table and the claim, classify it as confirmed or disputed. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nTable title: jeep grand cherokee\nclaim: the powertech v8 jeep grand cherokee has 200 more rpm of torque than the power tech i6" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the claim is true. So, the answer is {\"answer\": \"confirmed\"}." + }, + { + "from": "human", + "value": "This is a table image titled 'jeep grand cherokee', help me determine if the table substantiates or contradicts the following statement. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nthe jeep grand cherokee with the om647 diesel i5 had the lowest numbered displacement" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it substantiates the statement. So, the answer is {\"answer\": \"substantiates\"}." + }, + { + "from": "human", + "value": "Examine the table image with the title 'jeep grand cherokee', classify whether the statement is supported or disproved based on the table's content and title. Show your final answer in the JSON format {\"answer\": \"\"}.\nstatement: the powertech v8 jeep grand cherokee has 600 more rpm of torque than the power tech i6" + }, + { + "from": "gpt", + "value": "Based on the evidence presented in the table, we can conclude that the statement is not true. Therefore, the answer is {\"answer\": \"disproved\"}." + }, + { + "from": "human", + "value": "Given a table image, can you convert the table into a Latex table in the text form?" + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|}\n\\hline\n years & displacement & engine & power & torque \\\\\n\\hline\n 1999 - 2004 & 4.0l (242cid) & power tech i6 & - & 3000 rpm \\\\\n\\hline\n 1999 - 2004 & 4.7l (287cid) & powertech v8 & - & 3200 rpm \\\\\n\\hline\n 2002 - 2004 & 4.7l (287cid) & high output powertech v8 & - & - \\\\\n\\hline\n 1999 - 2001 & 3.1l diesel & 531 ohv diesel i5 & - & - \\\\\n\\hline\n 2002 - 2004 & 2.7l diesel & om647 diesel i5 & - & - \\\\\n\\hline\n\\end{tabular}" + } + ] + }, + { + "id": "table_instructV_multi_round_12689", + "image": "table_instructV/images/TABMWP_26328.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of toy bins | Number of blue blocks |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | ? |" + }, + { + "from": "human", + "value": "Recognize the table in this image and return an HTML-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "\n\n\n\n\n
Number of toy bins Number of blue blocks
1 10
2 20
3 ?
" + }, + { + "from": "human", + "value": "Give you a table image, answer this question. Let's think step by step. Present the final answer in a JSON format, outlined as {\"answer\": \"\"}.\nEach toy bin has 10 blue blocks. How many blue blocks are in 3 toy bins?" + }, + { + "from": "gpt", + "value": "Count by tens. Use the chart: there are 30 blue blocks in 3 toy bins.\n\nSo, the answer is {\"answer\": \"30\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_12704", + "image": "table_instructV/images/Rotowire_train_table_552.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wizards | Washington | 129 | 29 | 33 | 27 | 20 | 37 | 45 | 14 | 50 | 70 | 45 | 35 | 37 | | | | |\n| Timberwolves | Minnesota | 132 | 27 | 35 | 23 | 24 | 33 | 42 | 14 | 53 | 100 | 31 | 24 | 48 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| Bradley Beal | 46 | 26 | 4 | 5 | 9-18 | 50% | 4-7 | 57% | 4-4 | 100% | 1 | 2 | 0 | 0 | 4 | 2 | G | Washington |\n| John Wall | 49 | 22 | 3 | 16 | 8-22 | 36% | 3-7 | 43% | 3-3 | 100% | 2 | 4 | 0 | 1 | 2 | 3 | G | Washington |\n| Marcin Gortat | 43 | 19 | 14 | 2 | 8-11 | 73% | 0-0 | 0% | 3-8 | 38% | 1 | 5 | 0 | 8 | 6 | 2 | C | Washington |\n| Nene | 32 | 19 | 3 | 4 | 8-12 | 67% | 0-1 | 0% | 3-4 | 75% | 1 | 1 | 1 | 0 | 3 | 4 | N/A | Washington |\n| Otto Porter | 45 | 14 | 13 | 1 | 6-13 | 46% | 2-3 | 67% | 0-0 | 0% | 0 | 0 | 1 | 4 | 9 | 5 | F | Washington |\n| Jared Dudley | 31 | 10 | 3 | 6 | 4-8 | 50% | 2-5 | 40% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 2 | N/A | Washington |\n| Markieff Morris | 10 | 7 | 3 | 0 | 2-4 | 50% | 1-1 | 100% | 2-2 | 100% | 0 | 1 | 0 | 0 | 3 | 0 | F | Washington |\n| Ramon Sessions | 9 | 6 | 0 | 2 | 3-6 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 2 | N/A | Washington |\n| Garrett Temple | 11 | 3 | 1 | 0 | 1-3 | 33% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Washington |\n| Marcus Thornton | 14 | 3 | 1 | 1 | 1-3 | 33% | 0-2 | 0% | 1-2 | 50% | 2 | 0 | 0 | 0 | 1 | 0 | N/A | Washington |\n| Kelly Oubre Jr. | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Drew Gooden | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| JJ Hickson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Karl-Anthony Towns | 48 | 27 | 10 | 5 | 12-21 | 57% | 1-2 | 50% | 2-2 | 100% | 1 | 4 | 0 | 1 | 9 | 3 | C | Minnesota |\n| Zach LaVine | 45 | 25 | 0 | 4 | 10-17 | 59% | 5-9 | 56% | 0-0 | 0% | 2 | 1 | 0 | 0 | 0 | 1 | G | Minnesota |\n| Gorgui Dieng | 40 | 18 | 9 | 5 | 8-11 | 73% | 1-2 | 50% | 1-1 | 100% | 0 | 0 | 2 | 1 | 8 | 5 | F | Minnesota |\n| Andrew Wiggins | 43 | 16 | 7 | 3 | 4-14 | 29% | 0-4 | 0% | 8-8 | 100% | 1 | 2 | 0 | 2 | 5 | 1 | F | Minnesota |\n| Ricky Rubio | 44 | 13 | 5 | 7 | 4-12 | 33% | 1-5 | 20% | 4-4 | 100% | 2 | 3 | 0 | 0 | 5 | 5 | G | Minnesota |\n| Nemanja Bjelica | 13 | 10 | 3 | 0 | 4-5 | 80% | 0-1 | 0% | 2-2 | 100% | 1 | 0 | 0 | 0 | 3 | 1 | N/A | Minnesota |\n| Tyus Jones | 14 | 8 | 0 | 6 | 3-6 | 50% | 0-1 | 0% | 2-2 | 100% | 2 | 1 | 0 | 0 | 0 | 2 | N/A | Minnesota |\n| Shabazz Muhammad | 15 | 6 | 3 | 1 | 2-4 | 50% | 0-1 | 0% | 2-2 | 100% | 0 | 2 | 0 | 1 | 2 | 1 | N/A | Minnesota |\n| Greg Smith | 15 | 5 | 2 | 0 | 2-3 | 67% | 0-0 | 0% | 1-1 | 100% | 0 | 0 | 0 | 2 | 0 | 3 | N/A | Minnesota |\n| Tayshaun Prince | 14 | 4 | 3 | 2 | 2-3 | 67% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 2 | 0 | N/A | Minnesota |\n| Damjan Rudez | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Adreian Payne | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |" + }, + { + "from": "human", + "value": "Utilizing the data from the box-score and line-score tables of the NBA game featuring Wizards versus Timberwolves on 25th March, 2016, craft a game report highlighting the key moments and statistics." + }, + { + "from": "gpt", + "value": "The Minnesota Timberwolves (24-48) defeated the Washington Wizards (35-37) 132-129 in double overtime on Friday. The team that is already out of playoff contention apparently wanted it just a bit more Friday. The Timberwolves mounted an improbable comeback in the final minutes of regulation to force overtime, and then hit a clutch three-pointer in the final seconds of the first extra period to set up the unlikely victory. The Wizards held a 108-101 lead with 2:23 remaining when Minnesota began to chip away at their deficit. A quick 50 run by the Timberwolves got them within two, and after a Nene Hilario free throw, Gorgui Dieng managed to tie the game with a 24-foot three-pointer with 19 seconds remaining. Bradley Beal 's missed three-pointer with a second left sent the game into the first overtime in a 109-109 deadlock. The fifth quarter saw the two teams trade the advantage multiple times, and then a Zach LaVine 29-foot three-pointer with 11 seconds left tied matters up at 121. Beal missed a second game-winning trey at the buzzer, as the two teams lived on to play past the 60-minute mark. The second overtime period saw Minnesota score the last four points of the game over the final 43 seconds, as Jared Dudley missed a pair of three-pointers and Marcin Gortat was unable to drain either of his two free-throw attempts for the Wizards over that span. Karl-Anthony Towns spearheaded a successful night for the Timberwolves starting unit, totaling 27 points, 10 rebounds, five assists and a steal. Zach LaVine was next with 25 points, four assists and two steals. Dieng contributed 18 points, nine rebounds, five assists and two blocks. Andrew Wiggins supplied 16 points, seven rebounds, three assists and a steal. Ricky Rubio rounded things out for the starting five with 13 points, seven assists, five rebounds and two steals. The Timberwolves remain in last place in the Western Conference 's Northwest Division. They head home to face the Utah Jazz on Saturday night. Despite coming up short in crunch time, Beal led the way for the Wizards with 26 points, five assists, four rebounds and a steal. John Wall was right behind him with 22 points, 16 assists, three rebounds and two steals. Gortat contributed a 19-point, 14-rebound double-double that also included two assists and a steal. Otto Porter, Jr. was outstanding in his own right, managing 14 points, 13 rebounds, an assist and a block. Hilario paced the reserves with 19 points, four assists, three rebounds, a steal and a block. The Wizards are currently in third place in the Eastern Conference 's Atlantic Division. They head to Los Angeles to take on the Lakers in Sunday tilt." + }, + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the HTML format, presented as plain text." + }, + { + "from": "gpt", + "value": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
TEAM-NAME CITY PTS PTS_QTR1 PTS_QTR2 PTS_QTR3 PTS_QTR4 AST REB TOV FG_PCT FT_PCT FG3_PCT WINS LOSSES
Wizards Washington 129 29 33 27 20 37 45 14 50 70 45 35 37
Timberwolves Minnesota 132 27 35 23 24 33 42 14 53 100 31 24 48
PLAYER_NAME MIN PTS REB AST FG FG_PCT FG3 FG3_PCT FT FT_PCT STL TO BLK OREB DREB PF START_POSITION TEAM_CITY
Wizards
Bradley Beal 46 26 4 5 9-18 50% 4-7 57% 4-4 100% 1 2 0 0 4 2 G Washington
John Wall 49 22 3 16 8-22 36% 3-7 43% 3-3 100% 2 4 0 1 2 3 G Washington
Marcin Gortat 43 19 14 2 8-11 73% 0-0 0% 3-8 38% 1 5 0 8 6 2 C Washington
Nene 32 19 3 4 8-12 67% 0-1 0% 3-4 75% 1 1 1 0 3 4 N/A Washington
Otto Porter 45 14 13 1 6-13 46% 2-3 67% 0-0 0% 0 0 1 4 9 5 F Washington
Jared Dudley 31 10 3 6 4-8 50% 2-5 40% 0-0 0% 0 0 0 0 3 2 N/A Washington
Markieff Morris 10 7 3 0 2-4 50% 1-1 100% 2-2 100% 0 1 0 0 3 0 F Washington
Ramon Sessions 9 6 0 2 3-6 50% 0-0 0% 0-0 0% 0 1 0 0 0 2 N/A Washington
Garrett Temple 11 3 1 0 1-3 33% 1-3 33% 0-0 0% 0 0 0 0 1 2 N/A Washington
Marcus Thornton 14 3 1 1 1-3 33% 0-2 0% 1-2 50% 2 0 0 0 1 0 N/A Washington
Kelly Oubre Jr. N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Washington
Drew Gooden N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Washington
JJ Hickson N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Washington
Timberwolves
Karl-Anthony Towns 48 27 10 5 12-21 57% 1-2 50% 2-2 100% 1 4 0 1 9 3 C Minnesota
Zach LaVine 45 25 0 4 10-17 59% 5-9 56% 0-0 0% 2 1 0 0 0 1 G Minnesota
Gorgui Dieng 40 18 9 5 8-11 73% 1-2 50% 1-1 100% 0 0 2 1 8 5 F Minnesota
Andrew Wiggins 43 16 7 3 4-14 29% 0-4 0% 8-8 100% 1 2 0 2 5 1 F Minnesota
Ricky Rubio 44 13 5 7 4-12 33% 1-5 20% 4-4 100% 2 3 0 0 5 5 G Minnesota
Nemanja Bjelica 13 10 3 0 4-5 80% 0-1 0% 2-2 100% 1 0 0 0 3 1 N/A Minnesota
Tyus Jones 14 8 0 6 3-6 50% 0-1 0% 2-2 100% 2 1 0 0 0 2 N/A Minnesota
Shabazz Muhammad 15 6 3 1 2-4 50% 0-1 0% 2-2 100% 0 2 0 1 2 1 N/A Minnesota
Greg Smith 15 5 2 0 2-3 67% 0-0 0% 1-1 100% 0 0 0 2 0 3 N/A Minnesota
Tayshaun Prince 14 4 3 2 2-3 67% 0-1 0% 0-0 0% 0 1 0 1 2 0 N/A Minnesota
Damjan Rudez N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Minnesota
Adreian Payne N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Minnesota
" + } + ] + }, + { + "id": "table_instructV_multi_round_12779", + "image": "table_instructV/images/TabFact_1-15211468-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| episode no | episode title | uk broadcast date | presenter | details of journey | countries visited |\n| --- | --- | --- | --- | --- | --- |\n| 1.1 | coast to coast | 1980 - 10 - 30 | ludovic kennedy | new york to los angeles | usa |\n| 1.2 | the long straight | 1980 - 11 - 06 | michael frayn | sydney to perth | australia |\n| 1.3 | deccan | 1980 - 11 - 13 | brian b thompson | bombay to cochin | india |\n| 1.4 | confessions of a trainspotter | 1980 - 11 - 27 | michael palin | london to the kyle of lochalsh | england , scotland |\n| 1.5 | zambezi express | 1980 - 12 - 04 | michael wood | cape town to victoria falls | south africa , botswana , zimbabwe - rhodesia |\n| 1.6 | three miles high | 1980 - 12 - 11 | miles kington | lima to la paz | peru , bolivia |" + }, + { + "from": "human", + "value": "Examine the table shown in the picture and generate a latex text representation of the table." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|c|}\n\\hline\n episode no & episode title & uk broadcast date & presenter & details of journey & countries visited \\\\\n\\hline\n 1.1 & coast to coast & 1980 - 10 - 30 & ludovic kennedy & new york to los angeles & usa \\\\\n\\hline\n 1.2 & the long straight & 1980 - 11 - 06 & michael frayn & sydney to perth & australia \\\\\n\\hline\n 1.3 & deccan & 1980 - 11 - 13 & brian b thompson & bombay to cochin & india \\\\\n\\hline\n 1.4 & confessions of a trainspotter & 1980 - 11 - 27 & michael palin & london to the kyle of lochalsh & england , scotland \\\\\n\\hline\n 1.5 & zambezi express & 1980 - 12 - 04 & michael wood & cape town to victoria falls & south africa , botswana , zimbabwe - rhodesia \\\\\n\\hline\n 1.6 & three miles high & 1980 - 12 - 11 & miles kington & lima to la paz & peru , bolivia \\\\\n\\hline\n\\end{tabular}" + }, + { + "from": "human", + "value": "Based on the table titled 'great railway journeys' and the subsequent sentence, determine if the sentence is entailed or disputed by the table. Show your final answer in the JSON format {\"answer\": \"\"}.\nsentence: most of the presenters first names were michael in great railway jorneys" + }, + { + "from": "gpt", + "value": "According to the table, the sentence is entailed by the table information. Therefore, the final answer: {\"answer\": \"entailed\"}." + }, + { + "from": "human", + "value": "This is a table named 'great railway journeys', please determine whether the given hypothesis is substantiated or challenged by the table information. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nthree episodes have three words in the title" + }, + { + "from": "gpt", + "value": "According to the table, the hypothesis is substantiated by the table information. Therefore, the final answer: {\"answer\": \"substantiated\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_12803", + "image": "table_instructV/images/TabFact_1-2582519-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| total | series | title | director | writer (s) | original airdate |\n| --- | --- | --- | --- | --- | --- |\n| 43 | 1 | catalyst | christopher hodson | david butler | 4 september 1976 |\n| 44 | 2 | the man with the magic touch | christopher hodson | terence feely | 11 september 1976 |\n| 45 | 3 | the complaint | paul annett | tony hoare | 18 september 1976 |\n| 46 | 4 | the line of duty | paddy russell | david butler | 25 september 1976 |\n| 47 | 5 | k block | bryan izzard | david butler | 2 october 1976 |\n| 48 | 6 | a way of loving | john gorrie | john gorrie | 9 october 1976 |\n| 49 | 7 | love and the chaplain | paddy russell | kathleen j smith | 16 october 1976 |\n| 50 | 8 | the mystery | bryan izzard | tony hoare | 23 october 1976 |\n| 51 | 9 | a sentence of death | bryan izzard | peter wildeblood | 30 october 1976 |\n| 52 | 10 | vacuum | paul annett | pj hammond | 6 november 1976 |\n| 53 | 11 | on trial | marek kanievska | susan pleat | 13 november 1976 |\n| 54 | 12 | visitors | peter moffatt | terence feely | 20 november 1976 |\n| 55 | 13 | transfer | christopher hodson | tony parker | 27 november 1976 |\n| 56 | 14 | someone 's got to do it | mike gibbon | mona bruce and robert james | 4 december 1976 |\n| 57 | 15 | islands in the heartline | marek kanievska | susan pleat | 11 december 1976 |\n| 58 | 16 | invasion of privacy | bill bain | david butler | 18 december 1976 |\n| 59 | 17 | silent night | phillip casson | david butler | 24 december 1976 |" + }, + { + "from": "human", + "value": "Analyze this table picture about 'within these walls' and classify whether the given table confirms or disputes the statement. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\n\nchristopher hodson directed three of the five episodes aired on october 1976" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it confirms the statement. Hence, the answer is {\"answer\": \"confirms\"}." + }, + { + "from": "human", + "value": "According to the information in the given table regarding 'within these walls', tell me whether the statement is affirmed or disputed by the table. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nin the tv drama series within these walls , bryan izzard directed three of the five episodes aired on october 1976" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the statement. Hence, the answer is {\"answer\": \"affirmed\"}." + }, + { + "from": "human", + "value": "Give you a table titled 'within these walls' and a claim which is 'in the tv drama series within these walls , bryan izzard directed less episodes that aired in october 1976 than paddy russell', select the correct relation between the table and the claim based on the table information. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\n\n(A) supports (the claim is true)\n(B) disputes (the claim is false)" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the claim is false. Consequently, the answer is {\"answer\": \"disputes\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_12832", + "image": "table_instructV/images/TAT-QA_d34f5a48-3d43-4dd6-88bb-9717710da038.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| | December 31, | |\n| --- | --- | --- |\n| | (in thousands) | |\n| | 2019 | 2018 |\n| Government segment: | | |\n| Billed | $11,608 | $9,100 |\n| Advanced billings | (608) | (563) |\n| | 11,000 | 8,537 |\n| Restaurant/Retail segment: | | |\n| Accounts receivable - net | 30,774 | 17,682 |\n| | $41,774 | $26,219 |" + }, + { + "from": "human", + "value": "Here's what I need you to do:\nIn the image of this table, identify all the merged cells. Provide the coordinates of these merged regions in the JSON {'top-left':(X1, Y1), 'bottom-right':(X2, Y2)}, with '(X1, Y1)' and '(X2, Y2)' indicating the (row_id, column_id) of the top-left and bottom-right cells, respectively. Remember, row and column numbering starts at 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "Give you a table image. Inspect this table to answer the subsequent problem:\nWhat is the average Government segment: Billed for December 31, 2018 and 2019?\n\nReturn the final result as JSON in the format {\"answer\": []}." + }, + { + "from": "gpt", + "value": "Based on the given table:\n(11608+9100) / 2 = 10354\nTherefore, the answer is {\"answer\": [\"10354\"]}." + }, + { + "from": "human", + "value": "Answer the following question in detail based on the table image. Return the final result as JSON in the format {\"answer\": []}.\nWhat is the change in Government segment: Billed between December 31, 2018 and 2019?" + }, + { + "from": "gpt", + "value": "To answer the given question, we need to conduct the following computations:\n11608-9100 = 2508\nTherefore, the final answer is {\"answer\": [\"2508\"]}." + }, + { + "from": "human", + "value": "Use the data from the table to answer the following inquiry detailedly. Present the final answer in a JSON format {\"answer\": []}.\nWhat is the change in Government segment: Advanced billings between December 31, 2018 and 2019?" + }, + { + "from": "gpt", + "value": "To answer the given question, we need to conduct the following computations:\n608-563 = 45\nTherefore, the final answer is {\"answer\": [\"45\"]}." + } + ] + }, + { + "id": "table_instructV_multi_round_12935", + "image": "table_instructV/images/TABMWP_13051.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| | Country | Rock |\n| --- | --- | --- |\n| 0 times a week | 3 | 7 |\n| 1-2 times a week | 2 | 5 |" + }, + { + "from": "human", + "value": "Based on the table, solve the math word problem. Give a solution step by step. Format the ultimate answer as a JSON, using the structure {\"answer\": \"\"}.\nProblem: On the first day of music class, students submitted a survey. One survey question asked students to report which music genre they prefer. Another question asked students how frequently they sing in the shower. What is the probability that a randomly selected student sings in the shower 1-2 times a week and prefers rock? Simplify any fractions.\nSolution:" + }, + { + "from": "gpt", + "value": "Let A be the event \"the student sings in the shower 1-2 times a week\" and B be the event \"the student prefers rock\".\nTo find the probability that a student sings in the shower 1-2 times a week and prefers rock, first identify the sample space and the event.\nThe outcomes in the sample space are the different students. Each student is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the student sings in the shower 1-2 times a week and prefers rock\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the student sings in the shower 1-2 times a week and prefers rock\", so look at the table to see how many students sing in the shower 1-2 times a week and prefer rock.\nThe number of students who sing in the shower 1-2 times a week and prefer rock is 5.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of students.\n3 + 2 + 7 + 5 = 17\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{5}{17}\nThe probability that a student sings in the shower 1-2 times a week and prefers rock is \\frac{5}{17}.\n\nThus, the final answer is {\"answer\": \"5/17\"}." + }, + { + "from": "human", + "value": "Could you calculate the row number and column number in this table? Provide the final answer in the JSON structure, using the format {\"row_number\": \"m\", \"column_number\": \"n\"}." + }, + { + "from": "gpt", + "value": "There are 3 rows and 3 columns in the table. So, the final answer is {\"row_number\": \"3\", \"column_number\": \"3\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_12960", + "image": "table_instructV/images/TabFact_1-179174-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| spaceport | launch complex | launcher | spacecraft | flights | years |\n| --- | --- | --- | --- | --- | --- |\n| baikonur cosmodrome , kazakhstan | site 1 | vostok (r) | vostok 1 - 6 | 6 orbital | 1961 - 1963 |\n| baikonur cosmodrome , kazakhstan | site 1 | voskhod (r) | voskhod 1 - 2 | 2 orbital | 1964 - 1965 |\n| baikonur cosmodrome , kazakhstan | site 1 , 31 | soyuz (r) | soyuz 1 - 40 | 37 orbital | 1967 - 1981 |\n| baikonur cosmodrome , kazakhstan | site 1 , 31 | soyuz (r) | soyuz - t 2 - 15 | 14 orbital | 1980 - 1986 |\n| baikonur cosmodrome , kazakhstan | site 1 | soyuz (r) | soyuz - tm 2 - 34 | 33 orbital | 1987 - 2002 |\n| baikonur cosmodrome , kazakhstan | site 1 | soyuz (r) | soyuz - tma 1 - 22 | 22 orbital | 2002 - 2011 |\n| baikonur cosmodrome , kazakhstan | site 1 | soyuz (r) | soyuz tma - m 1 - 9 | 9 orbital | 2010 - |\n| cape canaveral afs , florida , usa | lc5 | redstone | mercury 3 - 4 | 2 sub - o | 1961 - 1961 |\n| cape canaveral afs , florida , usa | lc14 | atlas | mercury 6 - 9 | 4 orbital | 1962 - 1963 |\n| cape canaveral afs , florida , usa | lc19 | titan ii | gemini 3 - 12 | 10 orbital | 1965 - 1966 |\n| cape canaveral afs , florida , usa | lc34 | saturn ib | apollo 7 | 1 orbital | 1968 - 1968 |\n| kennedy space center , florida , usa | lc39 | saturn v | apollo 8 - 17 | 10 lun / or | 1968 - 1970 |\n| kennedy space center , florida , usa | lc39 | saturn ib | skylab 2 - 4 | 3 orbital | 1973 - 1974 |\n| kennedy space center , florida , usa | lc39 | saturn ib | apollo - soyuz | 1 orbital | 1975 - 1975 |\n| kennedy space center , florida , usa | lc39 | sts 1 - 135 | space shuttle | 134 orbital | 1981 - 2011 |" + }, + { + "from": "human", + "value": "Analyze this table picture about 'spaceport' and classify whether the given table upholds or contradicts the sentence. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\n\nthe soyuz tm 1 - 22 and the space shuttle both ended operation in 2011" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it upholds the sentence. Hence, the answer is {\"answer\": \"upholds\"}." + }, + { + "from": "human", + "value": "Retrieve the content of the cell located in the 14th row and the 5th column of this table. Format the cell value as a JSON, using the structure {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"\"}." + }, + { + "from": "gpt", + "value": "The target cell value in the 14th row and the 5th column is {\"row_id\":\"14\", \"column_id\":\"5\", \"cell_value\":\"3 orbital\"}." + }, + { + "from": "human", + "value": "Examine whether the table upholds or disproves the subsequent sentence. Show your final answer in the JSON format {\"answer\": \"\"}.\ntable title: 'spaceport'\nsentence: the cape canaveral afs located in florida launched four spacecrafts" + }, + { + "from": "gpt", + "value": "Based on the table, the sentence holds true. Thus, the final answer is {\"answer\": \"upholds\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_12979", + "image": "table_instructV/images/TabFact_2-17004899-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| opposing team | against | date | venue | status |\n| --- | --- | --- | --- | --- |\n| western australia | 12 | 10 / 05 / 1975 | perry lakes stadium , perth | tour match |\n| sydney | 14 | 13 / 05 / 1975 | sydney cricket ground , sydney | tour match |\n| new south wales | 24 | 17 / 05 / 1975 | sydney sports ground , sydney | tour match |\n| new south wales country xv | 14 | 20 / 05 / 1975 | goulburn | tour match |\n| australia | 16 | 24 / 05 / 1975 | sydney cricket ground , sydney | first test |\n| queensland | 3 | 27 / 05 / 1975 | ballymore , brisbane | tour match |\n| australia | 30 | 31 / 05 / 1975 | ballymore , brisbane | second test |\n| queensland country | 6 | 03 / 06 / 1975 | townsville sports reserve , townsville | tour match |" + }, + { + "from": "human", + "value": "According to the information in the given table regarding '1975 england rugby union tour of australia', tell me whether the hypothesis is substantiated or disputed by the table. Output the final answer as JSON in the format {\"answer\": \"\"}.\nfor the opposing team of queensland , the venue was perry lakes stadium , perth , for a tour match" + }, + { + "from": "gpt", + "value": "By using the table as supporting evidence, it is evident that the hypothesis is incorrect. Consequently, the answer is {\"answer\": \"disputed\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title '1975 england rugby union tour of australia', and determine whether the table entails or disputes the given statement. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nstatement: sydney sports ground , sydney is where the game that is against new south wales and that has an against value less than 30" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table entails the validity of the statement. Therefore, the final answer: {\"answer\": \"entails\"}." + }, + { + "from": "human", + "value": "Examine the table with the given title '1975 england rugby union tour of australia' and judge whether the sentence is upheld or challenged based on the table's content. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nsydney sports ground , sydney , is the venue for five of the eight games played" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the sentence is not valid. Hence, the answer is {\"answer\": \"challenged\"}." + }, + { + "from": "human", + "value": "Examine the table titled '1975 england rugby union tour of australia' and judge whether the table affirms or challenges the following sentence. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\non 10 / 05 / 1975 the status was tour match" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the sentence. Consequently, the answer is {\"answer\": \"affirms\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_13080", + "image": "table_instructV/images/TabFact_1-13312864-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| shirt no | player | birth date | weight | height |\n| --- | --- | --- | --- | --- |\n| 1 | rafael pascual | 16 march 1970 | 94 | 194 |\n| 2 | ibán pérez | 13 november 1983 | 89 | 198 |\n| 3 | josé luis lobato | 19 february 1977 | 81 | 186 |\n| 4 | manuel sevillano | 2 july 1981 | 90 | 194 |\n| 7 | guillermo hernán | 25 july 1982 | 68 | 181 |\n| 10 | miguel ángel falasca | 29 april 1973 | 92 | 195 |\n| 11 | javier subiela | 22 march 1984 | 88 | 198 |\n| 12 | guillermo falasca | 24 october 1977 | 104 | 200 |\n| 14 | josé luis moltó | 29 june 1975 | 95 | 207 |\n| 16 | julián garcía - torres | 8 november 1980 | 93 | 202 |\n| 17 | enrique de la fuente | 11 august 1975 | 95 | 195 |" + }, + { + "from": "human", + "value": "Analyze the table's content, including its title 'spain men 's national volleyball team', and determine whether the table supports or contradicts the given sentence. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nsentence: ibán pérez and julián garcía - torres are the only players with november birthdays" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it supports the sentence. So, the answer is {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "Examine whether the table affirms or disproves the subsequent hypothesis. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\ntable title: 'spain men 's national volleyball team'\nhypothesis: josé luis moltó is more than 20 cm taller than josé luis lobato" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it affirms the hypothesis. Hence, the answer is {\"answer\": \"affirms\"}." + }, + { + "from": "human", + "value": "Your task:\nLook at the table image, determine the locations of the following cells. A cell's location MUST be represented as a json structure {'value': '', 'location': (Row_ID, Column_ID)}, with row and column IDs beginning from 1. Some cell values may not be contained in this table. If so, represent their locations as 'DOES NOT EXIST'.\nTarget cells:\nCELL VALUE 1: 'Lachine Maroons',\nCELL VALUE 2: '81',\nCELL VALUE 3: 'height',\nCELL VALUE 4: '11 august 1975',\nCELL VALUE 5: 'guillermo hernán',\nCELL VALUE 6: 'Montreal Canadiens',\nCELL VALUE 7: '93',\nCELL VALUE 8: '17'," + }, + { + "from": "gpt", + "value": "The target cell locations are as follows:\nCELL LOCATION 1: {'value': 'Lachine Maroons', 'location': 'DOES NOT EXIST'}\nCELL LOCATION 2: {'value': '81', 'location': (4, 4)}\nCELL LOCATION 3: {'value': 'height', 'location': (1, 5)}\nCELL LOCATION 4: {'value': '11 august 1975', 'location': (12, 3)}\nCELL LOCATION 5: {'value': 'guillermo hernán', 'location': (6, 2)}\nCELL LOCATION 6: {'value': 'Montreal Canadiens', 'location': 'DOES NOT EXIST'}\nCELL LOCATION 7: {'value': '93', 'location': (11, 4)}\nCELL LOCATION 8: {'value': '17', 'location': (12, 1)}" + } + ] + }, + { + "id": "table_instructV_multi_round_13178", + "image": "table_instructV/images/TabFact_1-20967430-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| ep | season | title | directed by | written by | original air date | prod code |\n| --- | --- | --- | --- | --- | --- | --- |\n| 30 | 1 | the thief | noam pitlik | jeffrey ferro & fredric weiss | september 26 , 1986 | 5a03 |\n| 31 | 2 | grandma | noam pitlik | frank dungan & jeff stein & tony sheehan | october 03 , 1986 | 5a04 |\n| 32 | 3 | debut | noam pitlik | fredric weiss & jeffrey ferro | october 17 , 1986 | 5a05 |\n| 33 | 4 | kevin 's date | noam pitlik | tony sheehan | october 24 , 1986 | 5a07 |\n| 34 | 5 | halloween | noam pitlik | jeffrey ferro & fredric weiss | october 31 , 1986 | 5a08 |\n| 35 | 6 | deportation : part 1 | noam pitlik | frank dungan & jeff stein & tony sheehan | november 07 , 1986 | 5a01 |\n| 36 | 7 | deportation : part 2 | noam pitlik | frank dungan & jeff stein & tony sheehan | november 14 , 1986 | 5a02 |\n| 37 | 8 | reunion | noam pitlik | frank dungan & jeff stein | november 21 , 1986 | 5a10 |\n| 38 | 9 | the spelling bee | noam pitlik | fredric weiss & jeffrey ferro | december 05 , 1986 | 5a11 |\n| 39 | 10 | pills | noam pitlik | gene braunstein & bob perlow | december 12 , 1986 | 5a09 |\n| 40 | 11 | the ticket | noam pitlik | tony sheehan | january 30 , 1987 | 5a12 |\n| 41 | 12 | college bound | noam pitlik | jeffrey ferro & fredric weiss | january 09 , 1987 | 5a13 |\n| 42 | 13 | inky | noam pitlik | frank dungan & jeff stein | january 16 , 1987 | 5a14 |\n| 43 | 14 | jobless | noam pitlik | frank dungan & jeff stein & tony sheehan | january 23 , 1987 | 5a15 |\n| 44 | 15 | the crush | noam pitlik | fredric weiss & jeffrey ferro | february 06 , 1987 | 5a16 |\n| 46 | 17 | the cadet | noam pitlik | jeffrey ferro & fredric weiss | february 20 , 1987 | 5a18 |\n| 47 | 18 | kevin 's older woman | noam pitlik | frank dungan & jeff stein & tony sheehan | february 27 , 1987 | 5a19 |\n| 48 | 19 | baby | noam pitlik | lisa albert | march 06 , 1987 | 5a06 |\n| 49 | 20 | separation | noam pitlik | frank dungan & jeff stein | may 01 , 1987 | 5a21 |\n| 50 | 21 | the mogul | noam pitlik | frank dungan & jeff stein & tony sheehan | may 08 , 1987 | 5a22 |" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table with its caption 'list of mr. belvedere episodes', the goal is to distinguish whether the following sentence is affirmed or opposed by the table. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nnoam pitlik directed episodes 30 - 50" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the sentence. Hence, the answer is {\"answer\": \"affirmed\"}." + }, + { + "from": "human", + "value": "Examine the table image with the title 'list of mr. belvedere episodes', classify whether the hypothesis is substantiated or disproved based on the table's content and title. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nhypothesis: frank dungan participated in writing nine episodes" + }, + { + "from": "gpt", + "value": "Based on the table information, the hypothesis is true. Thus, the answer is {\"answer\": \"substantiated\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_13358", + "image": "table_instructV/images/TabFact_1-23777640-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| administrative district | ds divisions | gn divisions | total area (km 2 ) | land area (km 2 ) | sri lankan tamil | sri lankan moors | sinhalese | indian tamil | other | total | population density ( / km 2 ) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| jaffna | 15 | 435 | 1025 | 929 | 577246 | 2139 | 3366 | 499 | 128 | 583378 | 569 |\n| kilinochchi | 4 | 95 | 1279 | 1205 | 109528 | 678 | 962 | 1682 | 25 | 112875 | 88 |\n| mannar | 5 | 153 | 1996 | 1880 | 80568 | 16087 | 1961 | 394 | 41 | 99051 | 50 |\n| mullaitivu | 5 | 127 | 2617 | 2415 | 79081 | 1760 | 8851 | 2182 | 73 | 91947 | 35 |\n| vavuniya | 4 | 102 | 1967 | 1861 | 141269 | 11700 | 17191 | 1292 | 59 | 171511 | 87 |" + }, + { + "from": "human", + "value": "Analyze the table's content, including its title 'northern province , sri lanka', and determine whether the given sentence is affirmed or challenged by the table information. Show your final answer in the JSON format {\"answer\": \"\"}.\nsentence: jaffna is the largest land area with (km 2)" + }, + { + "from": "gpt", + "value": "Based on the table information, the sentence is not true. Thus, the answer is {\"answer\": \"challenged\"}." + }, + { + "from": "human", + "value": "According to the information in the given table regarding 'northern province , sri lanka', tell me whether the claim is substantiated or disputed by the table. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\njaffna is the administrative district with the smallest land area (km 2 )" + }, + { + "from": "gpt", + "value": "Based on the table information, the claim is true. Thus, the answer is {\"answer\": \"substantiated\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title 'northern province , sri lanka', and determine whether the table upholds or opposes the given statement. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nstatement: mannar and kilinochchi had an average population density ( / km 2 ) of 69" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it opposes the statement. So, the answer is {\"answer\": \"opposes\"}." + }, + { + "from": "human", + "value": "According to the table information regarding 'northern province , sri lanka', tell me whether the provided table entails or conflicts with the statement. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nmannar and kilinochchi had an average population density ( / km 2 ) of 67" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the statement. Consequently, the answer is {\"answer\": \"entails\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_13414", + "image": "table_instructV/images/TABMWP_26825.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 10 | 20 |\n| 11 | 10 |\n| 12 | 0 |" + }, + { + "from": "human", + "value": "According to the table, solve this problem and give detail solutions. Output the final answer as JSON in the format {\"answer\": \"\"}.\n\nThe table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear" + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{10 - 20}{11 - 10}\n = \\frac{-10}{1}\n = -10\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the first row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{0 - 20}{12 - 10}\n = \\frac{-20}{2}\n = -10\nThe two rates of change are the same.\n10.\nThis means the rate of change is the same for each pair of points. So, the function has a constant rate of change.\nThe function is linear.\n\nThus, the final answer is {\"answer\": \"linear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_13442", + "image": "table_instructV/images/TabFact_2-11051069-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| ceremony | award | category | nominee | outcome |\n| --- | --- | --- | --- | --- |\n| filmfare awards | 6th filmfare awards | best movie | b r chopra | nominated |\n| filmfare awards | 6th filmfare awards | best director | b r chopra | nominated |\n| filmfare awards | 6th filmfare awards | best actress | vyjayanthimala | won |\n| filmfare awards | 6th filmfare awards | best supporting actress | leela chitnis | nominated |\n| filmfare awards | 6th filmfare awards | best story | mukhram sharma | won |\n| filmfare awards | 6th filmfare awards | best lyricist | sahir ludhianvi | nominated |" + }, + { + "from": "human", + "value": "Examine the table titled 'sadhna' and judge whether the table upholds or disproves the following claim. Output the final answer as JSON in the format {\"answer\": \"\"}.\nleela chitnis was the nominee for best story at the filmfare awards ceremony" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it disproves the claim. Hence, the answer is {\"answer\": \"disproves\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title 'sadhna', and determine whether the table affirms or refutes the given claim. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nclaim: leela chitnis was nominated for best supporting actress at the 6th filmfare awards" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it affirms the claim. So, the answer is {\"answer\": \"affirms\"}." + }, + { + "from": "human", + "value": "Analyze this table picture about 'sadhna' and classify whether the given table confirms or disputes the statement. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\n\nthe best director award at the 6th filmfare awards was given to br chopra" + }, + { + "from": "gpt", + "value": "Based on the table, the statement holds true. Thus, the final answer is {\"answer\": \"confirms\"}." + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following claim is upheld or disputed by the table. Output the final answer as JSON in the format {\"answer\": \"\"}.\ntable title:sadhna\nclaim: b r chopra won as best director in 6th filmfare awards" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the claim is false. So, the answer is {\"answer\": \"disputed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_13494", + "image": "table_instructV/images/TabFact_2-16045118-19.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| year | actor | award | motion picture | result |\n| --- | --- | --- | --- | --- |\n| 1959 | sidney poitier | best actor - drama | the defiant ones | nominated |\n| 1960 | sidney poitier | best actor - musical or comedy | porgy & bess | nominated |\n| 1962 | sidney poitier | best actor - drama | a raisin in the sun | nominated |\n| 1964 | sidney poitier | best actor - drama | lilies of the field | won |\n| 1966 | sidney poitier | best actor - drama | a patch of blue | nominated |\n| 1968 | sidney poitier | best actor - drama | in the heat of the night | nominated |\n| 1969 | ossie davis | best supporting actor | the scalphunters | nominated |\n| 1971 | james earl jones | new star - actor | the great white hope | won |\n| 1971 | james earl jones | best actor - drama | the great white hope | nominated |\n| 1975 | james earl jones | best actor - musical or comedy | claudine | nominated |\n| 1982 | howard rollins | new star | ragtime | nominated |\n| 1982 | howard rollins | best supporting actor | ragtime | nominated |\n| 1983 | louis gossett , jr | best supporting actor | an officer and a gentleman | won |\n| 1983 | eddie murphy | new star - actor | 48 hrs | nominated |\n| 1984 | eddie murphy | best actor - musical or comedy | trading places | nominated |\n| 1985 | eddie murphy | best actor - musical or comedy | beverly hills cop | nominated |\n| 1985 | adolph caesar | best supporting actor | a soldier 's story | nominated |\n| 1987 | dexter gordon | best actor - drama | round midnight | nominated |\n| 1988 | denzel washington | best actor - drama | cry freedom | nominated |\n| 1988 | morgan freeman | best supporting actor | street smart | nominated |\n| 1989 | forest whitaker | best actor - drama | bird | nominated |\n| 1990 | morgan freeman | best actor - musical or comedy | driving miss daisy | won |\n| 1990 | denzel washington | best supporting actor | glory | won |\n| 1993 | denzel washington | best actor - drama | malcolm x | nominated |\n| 1995 | morgan freeman | best actor - drama | the shawshank redemption | nominated |\n| 1995 | samuel l jackson | best supporting actor | pulp fiction | nominated |\n| 1997 | samuel l jackson | best supporting actor | a time to kill | nominated |\n| 1997 | cuba gooding , jr | best supporting actor | jerry maguire | nominated |\n| 1997 | eddie murphy | best actor - musical or comedy | the nutty professor | nominated |\n| 1998 | samuel l jackson | best actor - musical or comedy | jackie brown | nominated |\n| 1998 | djimon hounsou | best actor - drama | amistad | nominated |\n| 2000 | denzel washington | best actor - drama | the hurricane | won |\n| 2000 | michael clarke duncan | best supporting actor | the green mile | nominated |\n| 2002 | will smith | best actor - drama | ali | nominated |\n| 2002 | denzel washington | best actor - drama | training day | nominated |\n| 2005 | morgan freeman | best supporting actor | million dollar baby | nominated |\n| 2005 | jamie foxx | best supporting actor | collateral | nominated |\n| 2005 | jamie foxx | best actor - musical or comedy | ray | won |\n| 2005 | don cheadle | best actor - drama | hotel rwanda | nominated |\n| 2006 | terrence howard | best actor - drama | hustle & flow | nominated |\n| 2007 | eddie murphy | best supporting actor | dreamgirls | won |\n| 2007 | chiwetel ejiofor | best actor - musical or comedy | kinky boots | nominated |\n| 2007 | will smith | best actor - drama | the pursuit of happyness | nominated |\n| 2007 | forest whitaker | best actor - drama | the last king of scotland | won |\n| 2008 | denzel washington | best actor - drama | american gangster | nominated |\n| 2010 | morgan freeman | best actor - drama | invictus | nominated |\n| 2013 | denzel washington | best actor - drama | flight | nominated |" + }, + { + "from": "human", + "value": "Based on the table image about 'list of black golden globe award winners and nominees' and the subsequent sentence, determine if the table confirms or opposes the subsequent sentence. Show your final answer in the JSON format {\"answer\": \"\"}.\nsentence: denzel washington has won more golden globes than morgan freeman" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it confirms the sentence. Hence, the answer is {\"answer\": \"confirms\"}." + }, + { + "from": "human", + "value": "Determine the relationship between the table and the statement, classify it as substantiated or disproved. Output the final answer as JSON in the format {\"answer\": \"\"}.\nTable title: list of black golden globe award winners and nominees\nstatement: jamie foxx won both of his two golden globes nominations in 2005" + }, + { + "from": "gpt", + "value": "According to the table, the statement is disproved by the table information. Therefore, the final answer: {\"answer\": \"disproved\"}." + }, + { + "from": "human", + "value": "Examine whether the table supports or conflicts with the subsequent sentence. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\ntable title: 'list of black golden globe award winners and nominees'\nsentence: will smith has been nominated two times for the golden globes" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it supports the sentence. Hence, the answer is {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "Using the information in the table image about 'list of black golden globe award winners and nominees', determine whether the next statement is confirmed or disputed by the table. The final result should be presented in the JSON format of {\"answer\": \"\"}.\n\neddie murphy has been nominated eight times for the golden globes" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the statement is not valid. Hence, the answer is {\"answer\": \"disputed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_13527", + "image": "table_instructV/images/TABMWP_18945.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of trees | Number of sparrows |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | ? |" + }, + { + "from": "human", + "value": "Solve the math problem below using the information from the table. Detail each step. The final result should be presented in the JSON format of {\"answer\": \"\"}.\n\nEach tree has 5 sparrows. How many sparrows are in 3 trees?" + }, + { + "from": "gpt", + "value": "Count by fives. Use the chart: there are 15 sparrows in 3 trees.\n\nTherefore, the final answer is {\"answer\": \"15\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_13778", + "image": "table_instructV/images/TAT-QA_981b4acb-12eb-4729-a297-96a0f0cefdba.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| | Fiscal year-end | |\n| --- | --- | --- |\n| | 2019 | 2018 |\n| Non-current deferred income tax assets | $87,011 | $64,858 |\n| Non-current deferred income tax liabilities | (27,785) | (26,339) |\n| Net deferred tax assets | $59,226 | $38,519 |" + }, + { + "from": "human", + "value": "Could you calculate the row number and column number in this table? Present the final answer in a JSON format {\"row_number\": \"m\", \"column_number\": \"n\"} such as {\"row_number\": \"2\", \"column_number\": \"3\"}." + }, + { + "from": "gpt", + "value": "There are 5 rows and 3 columns in the table. So, the final answer is {\"row_number\": \"5\", \"column_number\": \"3\"}." + }, + { + "from": "human", + "value": "Read the table to answer the following questions in brief. Format the ultimate answer as a JSON, using the structure {\"answer\": []}.\nIn which years were Net deferred tax assets calculated?" + }, + { + "from": "gpt", + "value": "Based on the table information, the answer is {\"answer\": [\"2019\", \"2018\"]}." + }, + { + "from": "human", + "value": "What are the cells' value in the following positions in the table? Provide the value of all target cells in the JSON structure, using the format {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"\"}.\nrow 4 and column 3\nrow 2 and column 2\nrow 3 and column 1" + }, + { + "from": "gpt", + "value": "The extracted cell contents are listed below.\n{\"row_id\":\"4\", \"column_id\":\"3\", \"cell_value\":\"(26,339)\"}\n{\"row_id\":\"2\", \"column_id\":\"2\", \"cell_value\":\"2019\"}\n{\"row_id\":\"3\", \"column_id\":\"1\", \"cell_value\":\"Non-current deferred income tax assets\"}" + } + ] + }, + { + "id": "table_instructV_multi_round_13811", + "image": "table_instructV/images/ToTTo_train_table_20971.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | 10–5 | Nick Rossborough | TKO (arm injury) | Bellator 126 | September 26, 2014 | 1 | 5:00 | Phoenix, Arizona, United States | Martinez tore his left bicep in round one. |\n| Loss | 10–4 | Lavar Johnson | TKO (punches) | Bellator 111 | March 7, 2014 | 1 | 4:22 | Thackerville, Oklahoma, United States | Bellator Season 10 Heavyweight Tournament Quarterfinal |\n| Loss | 10–3 | Vitaly Minakov | TKO (punches) | Bellator 97 | July 31, 2013 | 3 | 4:02 | Rio Rancho, New Mexico, United States | Bellator 2013 Summer Series Heavyweight Tournament Final |\n| Win | 10–2 | Rich Hale | KO (punches) | Bellator 96 | June 19, 2013 | 1 | 2:19 | Thackerville, Oklahoma, United States | Bellator 2013 Summer Series Heavyweight Tournament Semifinal |\n| Win | 9–2 | Travis Wiuff | KO (punches) | Bellator 93 | March 21, 2013 | 1 | 0:18 | Lewiston, Maine, United States | |\n| Win | 8–2 | Manny Lara | Decision (majority) | Bellator 75 | October 5, 2012 | 3 | 5:00 | Hammond, Indiana, United States | |\n| Loss | 7–2 | Mike Wessel | Decision (split) | Bellator 73 | August 24, 2012 | 3 | 5:00 | Tunica Resorts, Mississippi, United States | |\n| Win | 7–1 | Cody Griffin | Decision (unanimous) | ProElite 3 - Da Spyder vs. Minowaman | January 21, 2012 | 3 | 5:00 | Honolulu, Hawaii, United States | ProElite heavyweight tournament semifinal |\n| Win | 6–1 | Mark Ellis | Decision (unanimous) | ProElite 2 - Big Guns | November 5, 2011 | 3 | 5:00 | Moline, Illinois, United States | ProElite heavyweight tournament quarterfinal |\n| Win | 5–1 | Brandon Endriss | Technical submission (guillotine choke) | ROF 41 - Bragging Rights | August 20, 2011 | 1 | 3:45 | Broomfield, Colorado, United States | |\n| Win | 4–1 | Richard White | Submission (punches) | Fight To Win - Outlaws | May 14, 2011 | 1 | 2:24 | Denver, Colorado, United States | |\n| Win | 3–1 | Jeremiah Martinez | TKO (punches) | Fight To Win - Mortal Combat | February 25, 2011 | 1 | 0:51 | Denver, Colorado, United States | |\n| Loss | 2–1 | Derrick Lewis | TKO (punches) | Fight to Win/King of Champions - Worlds Collide | July 24, 2010 | 2 | 1:03 | Denver, Colorado, United States | |\n| Win | 2–0 | Justyn Riley | KO (punch) | Fight To Win - War | April 17, 2010 | 1 | 0:26 | Denver, Colorado, United States | |\n| Win | 1–0 | Vernon Lewis | TKO (punches) | Fight To Win - Phenoms | January 30, 2010 | 2 | 3:22 | Denver, Colorado, United States | |" + }, + { + "from": "human", + "value": "Generate a one-sentence summary about the highlighted table cells based on the following Wikipedia table and its metadata. \nTable title: Ryan Martinez\nSection title: Mixed martial arts record\n" + }, + { + "from": "gpt", + "value": "Martinez faced Vitaly Minakov on July 31, 2013, at Bellator 97." + } + ] + }, + { + "id": "table_instructV_multi_round_13821", + "image": "table_instructV/images/ToTTo_train_table_32007.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Date | Stage | Home Team | score | Away Team | Venue | agg | att | rcts | Note | ref |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1st Round |\n| YC R1 1st leg | - | Huddersfield | 23-19 | Hull | Fartown | | | | | |\n| YC R1 1st leg | 21-10-1944 | Oldham | 5-18 | Wigan | Watersheddings | | | | | |\n| YC R1 1st leg | 21-10-1944 | St. Helens | 8-22 | Barrow | Knowsley Road | | | | | |\n| YC R1 2nd leg | 28-10-1944 | Hull | 21-2 | Huddersfield | Boulevard | 40-25 | | | | |\n| YC R1 2nd leg | 28-10-1944 | Wigan | 39-2 | Oldham | Central Park | 57-7 | | | | |\n| YC R1 2nd leg | 28-10-1644 | Barrow | 21-8 | St. Helens | Craven Park | 43-16 | | | | |\n| 2nd Round |\n| YC R2 1st leg | 04-11-1944 | Dewsbury | 0-0 | Hull | Crown Flatt old ground | | | | | |\n| YC R2 1st leg | 04-11-1944 | Wigan | 9-5 | Barrow | Central Park | | | | | |\n| YC R2 2nd leg | 11-11-1944 | Hull | 5-7 | Dewsbury | Boulevard | 5-7 | | | | |\n| YC R2 2nd leg | 11-11-1944 | Barrow | 5-2 | Wigan | Craven Park | 10-11 | | | | |\n| Semi-Final |\n| YC SF 1st leg | 18-11-1944 | Wigan | 5-6 | Halifax | Central Park | | | | | |\n| YC SF 2nd leg | 25-11-1944 | Halifax | 9-7 | Wigan | Thrum Hall | 15-12 | | | | |\n| Final |\n| YC F 1st leg | -?? | Hunslet | 3-12 | Halifax | Parkside | | 11,000 | 744 | | |\n| YC F 2nd leg | -?? | Halifax | 0-2 | Hunslet | Thrum Hall | 14-3 | 9,800 | 745 | | |\n| Halifax are winners of Yorkshire Cup |" + }, + { + "from": "human", + "value": "What is the count of rows and columns in the given table? Present the final answer in a JSON format {\"row_number\": \"m\", \"column_number\": \"n\"} such as {\"row_number\": \"2\", \"column_number\": \"3\"}." + }, + { + "from": "gpt", + "value": "There are 20 rows and 11 columns in the table. So, the final answer is {\"row_number\": \"20\", \"column_number\": \"11\"}." + }, + { + "from": "human", + "value": "Generate a one-sentence summary about the highlighted table cells based on the following Wikipedia table and its metadata. \nTable title: 1944–45 Northern Rugby Football League Wartime Emergency League season\nSection title: Yorkshire Cup\n" + }, + { + "from": "gpt", + "value": "In the Final of the Yorkshire County Cup, Halifax beat Hunslet in two low scoring legs by 14-3 on aggregate." + } + ] + }, + { + "id": "table_instructV_multi_round_13823", + "image": "table_instructV/images/TABMWP_33336.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Number of blocks | Number of traffic cones |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | ? |" + }, + { + "from": "human", + "value": "Problem: \nEach block has 2 traffic cones. How many traffic cones are on 4 blocks? (Unit: traffic cones)\n\nAnswer the above problem related to the table. Finally, your final answer should be in the JSON format of {\"answer\": \"\"}.\nSolution:" + }, + { + "from": "gpt", + "value": "Count by twos. Use the chart: there are 8 traffic cones on 4 blocks.\n\nThus, the final answer is {\"answer\": \"8\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_13831", + "image": "table_instructV/images/ToTTo_train_table_3621.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Venue | Location | Sports | Capacity | Ref. |\n| --- | --- | --- | --- | --- |\n| Canada Hockey Place | Vancouver | Ice hockey (final) | 18,630 | |\n| Cypress Mountain | West Vancouver | Freestyle skiing, snowboarding | 8,000 | |\n| Pacific Coliseum | Vancouver | Figure skating, short track speed skating | 14,239 | |\n| Richmond Olympic Oval | Richmond | Speed skating | 8,000 | |\n| UBC Doug Mitchell Thunderbird Sports Centre | University Endowment Lands (UBC) | Ice hockey | 7,200 | |\n| Vancouver Olympic/Paralympic Centre | Vancouver | Curling | 6,000 | |\n| Whistler Creekside | Whistler | Alpine skiing | 7,600 | |\n| Whistler Olympic Park | Whistler | Biathlon, cross-country skiing, Nordic combined, ski jumping | 6,000 | |\n| Whistler Sliding Centre | Whistler | Bobsleigh, luge, skeleton | 12,000 | |" + }, + { + "from": "human", + "value": "This image shows a Wikipedia table extracted from a section.\nTable title: Venues of the 2010 Winter Olympics\nTable section title: Competition venues\n Using the provided table and its metadata, write a sentence to summarize the information in the highlighted table cells." + }, + { + "from": "gpt", + "value": "The Whistler Sliding Centre has space for 12,000 spectators to observe the luge, skeleton and bobsled events." + } + ] + }, + { + "id": "table_instructV_multi_round_13886", + "image": "table_instructV/images/Rotowire_train_table_461.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Warriors | Golden State | 112 | 20 | 32 | 35 | 25 | 33 | 43 | 15 | 54 | 91 | 48 | 70 | 9 | | | | |\n| Spurs | San Antonio | 101 | 15 | 25 | 29 | 32 | 28 | 32 | 12 | 49 | 70 | 44 | 65 | 13 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 36 | 27 | 5 | 9 | 11-19 | 58% | 3-7 | 43% | 2-2 | 100% | 2 | 3 | 0 | 0 | 5 | 2 | G | Golden State |\n| Harrison Barnes | 33 | 21 | 8 | 1 | 8-13 | 62% | 3-7 | 43% | 2-2 | 100% | 0 | 3 | 0 | 1 | 7 | 3 | F | Golden State |\n| Draymond Green | 34 | 18 | 6 | 7 | 7-12 | 58% | 2-3 | 67% | 2-2 | 100% | 1 | 4 | 0 | 0 | 6 | 2 | F | Golden State |\n| Klay Thompson | 35 | 14 | 3 | 6 | 5-13 | 39% | 2-5 | 40% | 2-2 | 100% | 1 | 1 | 0 | 2 | 1 | 4 | G | Golden State |\n| Shaun Livingston | 19 | 6 | 1 | 5 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 1 | N/A | Golden State |\n| Marreese Speights | 10 | 6 | 1 | 1 | 2-4 | 50% | 0-1 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Golden State |\n| Andrew Bogut | 22 | 6 | 11 | 3 | 3-3 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 2 | 2 | 9 | 4 | C | Golden State |\n| Festus Ezeli | 8 | 4 | 3 | 0 | 2-5 | 40% | 0-0 | 0% | 0-1 | 0% | 0 | 0 | 0 | 1 | 2 | 0 | N/A | Golden State |\n| Andre Iguodala | 21 | 4 | 2 | 1 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 0 | 2 | 0 | N/A | Golden State |\n| Brandon Rush | 7 | 3 | 1 | 0 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 3 | N/A | Golden State |\n| Leandro Barbosa | 15 | 3 | 1 | 0 | 1-4 | 25% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 0 | 1 | 0 | 3 | N/A | Golden State |\n| Ian Clark | 1 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Golden State |\n| Anderson Varejao | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Kawhi Leonard | 35 | 23 | 3 | 2 | 8-12 | 67% | 2-3 | 67% | 5-8 | 63% | 1 | 2 | 0 | 1 | 2 | 0 | F | San Antonio |\n| LaMarcus Aldridge | 29 | 11 | 3 | 2 | 5-16 | 31% | 0-0 | 0% | 1-1 | 100% | 2 | 2 | 0 | 2 | 1 | 2 | F | San Antonio |\n| David West | 24 | 11 | 0 | 7 | 4-5 | 80% | 0-0 | 0% | 3-4 | 75% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | San Antonio |\n| Tony Parker | 27 | 10 | 2 | 3 | 4-10 | 40% | 0-0 | 0% | 2-4 | 50% | 0 | 2 | 0 | 0 | 2 | 1 | G | San Antonio |\n| Kevin Martin | 15 | 10 | 4 | 4 | 3-5 | 60% | 1-2 | 50% | 3-3 | 100% | 1 | 0 | 0 | 0 | 4 | 0 | N/A | San Antonio |\n| Danny Green | 29 | 9 | 5 | 1 | 3-7 | 43% | 3-6 | 50% | 0-0 | 0% | 4 | 0 | 2 | 1 | 4 | 2 | G | San Antonio |\n| Kyle Anderson | 20 | 8 | 11 | 3 | 3-4 | 75% | 0-0 | 0% | 2-3 | 67% | 0 | 0 | 0 | 0 | 11 | 2 | N/A | San Antonio |\n| Patty Mills | 18 | 7 | 0 | 3 | 3-8 | 38% | 1-4 | 25% | 0-0 | 0% | 1 | 1 | 0 | 0 | 0 | 1 | N/A | San Antonio |\n| Manu Ginobili | 20 | 6 | 1 | 2 | 3-6 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 3 | 0 | 0 | 1 | 1 | N/A | San Antonio |\n| Tim Duncan | 19 | 4 | 3 | 1 | 2-6 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 2 | 0 | C | San Antonio |\n| Matt Bonner | 5 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 2 | N/A | San Antonio |\n| Andre Miller | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Jonathon Simmons | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |" + }, + { + "from": "human", + "value": "Based on the shown data statistics of an NBA game on 04/07/2016, give me a detailed summary for this game." + }, + { + "from": "gpt", + "value": "The Golden State Warriors (70-9) defeated the San Antonio Spurs (65-13) 112-101 on Thursday. The Warriors came in to Thursday 's game out for redemption, having not only lost two of the last three games, but incredibly, having endured both defeats at home. Their opponent certainly did n't seem likely to facilitate an easy route to getting back on track, as the Spurs have been the closest team in both caliber and record to the Warriors all season. However, Golden State looked prepared from early on, and won each of the first three periods to help set up the eventual double-digit victory. They also regained their shooting stroke against a stalwart Spurs defense, managing a 54 percent success rate from the field, and 48 percent figure from three-point range. San Antonio was led by Kawhi Leonard, who managed 23 points, three rebounds, two assists and a steal. LaMarcus Aldridge was next with a modest 11 points, three rebounds, two assists and two steals. He suffered a finger dislocation in the first half but did manage to return. Tony Parker tallied 10 points, three rebounds and two assists. David West paced the bench with 11 points and seven assists. Two other players performed well in reserve roles as well, with Kevin Martin supplying 10 points, four rebounds, four assists and a steal, and Kyle Anderson pitching in with eight points, 11 boards and three assists. The Spurs are officially locked into the second seed going into the postseason. They travel to Denver to take on the Nuggets on Friday. Golden State was led by Stephen Curry, who posted a game-high 27 points, nine assists, five rebounds and two steals. The reigning MVP shot a stellar 11-for-19 after a 7-for-25 performance against the Timberwolves on Tuesday. Harrison Barnes followed with 21 points, eight boards and an assist. Draymond Green compiled 18 points, seven assists, six rebounds and a steal. Klay Thompson collected 14 points, six assists, three rebounds and a steal. Although Andrew Bogut only put up a modest six points, he did haul in 11 boards, along with three assists, two blocks and a steal. The Warriors have now clinched the top seed in the Western Conference. They hed to Memphis to take on the Grizzlies on Saturday night." + } + ] + }, + { + "id": "table_instructV_multi_round_13943", + "image": "table_instructV/images/ToTTo_train_table_5431.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | 35–19–2 | Cezar Ferreira | Decision (split) | UFC Fight Night: Poirier vs. Pettis | November 11, 2017 | 3 | 5:00 | Norfolk, Virginia, United States | |\n| Loss | 35–18–2 | Vitor Belfort | Decision (unanimous) | UFC 212 | June 3, 2017 | 3 | 5:00 | Rio de Janeiro, Brazil | |\n| Loss | 35–17–2 | Sam Alvey | Decision (unanimous) | UFC on Fox: Shevchenko vs. Peña | January 28, 2017 | 3 | 5:00 | Denver, Colorado, United States | |\n| Win | 35–16–2 | Tamdan McCrory | KO (punch and head kick) | UFC Fight Night: Lineker vs. Dodson | October 1, 2016 | 2 | 4:44 | Portland, Oregon, United States | Performance of the Night. |\n| Loss | 34–16–2 | Thiago Santos | KO (punches) | UFC 198 | May 14, 2016 | 1 | 3:39 | Curitiba, Brazil | |\n| Win | 34–15–2 | C.B. Dollaway | KO (punch) | UFC on Fox: dos Anjos vs. Cerrone 2 | December 19, 2015 | 2 | 0:28 | Orlando, Florida, United States | |\n| Loss | 33–15–2 | Kelvin Gastelum | TKO (corner stoppage) | UFC 188 | June 13, 2015 | 2 | 5:00 | Mexico City, Mexico | |\n| Loss | 33–14–2 | Brad Tavares | Decision (unanimous) | UFC 182 | January 3, 2015 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 33–13–2 | James Te-Huna | Submission (armbar) | UFC Fight Night: Te Huna vs. Marquardt | June 28, 2014 | 1 | 4:34 | Auckland, New Zealand | Return to middleweight. Performance of the Night. |\n| Loss | 32–13–2 | Hector Lombard | KO (punches) | UFC 166 | October 19, 2013 | 1 | 1:48 | Houston, Texas, United States | |\n| Loss | 32–12–2 | Jake Ellenberger | KO (punches) | UFC 158 | March 16, 2013 | 1 | 3:00 | Montreal, Quebec, Canada | |\n| Loss | 32–11–2 | Tarec Saffiedine | Decision (unanimous) | Strikeforce: Marquardt vs. Saffiedine | January 12, 2013 | 5 | 5:00 | Oklahoma City, Oklahoma, United States | Lost the Strikeforce Welterweight Championship. |\n| Win | 32–10–2 | Tyron Woodley | KO (elbows and punches) | Strikeforce: Rockhold vs. Kennedy | July 14, 2012 | 4 | 1:39 | Portland, Oregon, United States | Welterweight debut. Won the vacant Strikeforce Welterweight Championship. |\n| Win | 31–10–2 | Dan Miller | Decision (unanimous) | UFC 128 | March 19, 2011 | 3 | 5:00 | Newark, New Jersey, United States | |\n| Loss | 30–10–2 | Yushin Okami | Decision (unanimous) | UFC 122 | November 13, 2010 | 3 | 5:00 | Oberhausen, Germany | UFC Middleweight Championship eliminator. |\n| Win | 30–9–2 | Rousimar Palhares | TKO (punches) | UFC Fight Night: Marquardt vs. Palhares | September 15, 2010 | 1 | 3:28 | Austin, Texas, United States | |\n| Loss | 29–9–2 | Chael Sonnen | Decision (unanimous) | UFC 109 | February 6, 2010 | 3 | 5:00 | Las Vegas, Nevada, United States | UFC Middleweight Championship eliminator. Fight of the Night. |\n| Win | 29–8–2 | Demian Maia | KO (punch) | UFC 102 | August 29, 2009 | 1 | 0:21 | Portland, Oregon, United States | Knockout of the Night. |\n| Win | 28–8–2 | Wilson Gouveia | TKO (punches and knee) | UFC 95 | February 21, 2009 | 3 | 3:10 | London, England | |\n| Win | 27–8–2 | Martin Kampmann | TKO (punches) | UFC 88 | September 6, 2008 | 1 | 1:22 | Atlanta, Georgia, United States | |\n| Loss | 26–8–2 | Thales Leites | Decision (split) | UFC 85 | June 7, 2008 | 3 | 5:00 | London, England | Marquardt was deducted two points during the bout for illegal infractions. |\n| Win | 26–7–2 | Jeremy Horn | Submission (standing guillotine choke) | UFC 81 | February 2, 2008 | 2 | 1:37 | Las Vegas, Nevada, United States | |\n| Loss | 25–7–2 | Anderson Silva | TKO (punches) | UFC 73 | July 7, 2007 | 1 | 4:50 | Sacramento, California, United States | For the UFC Middleweight Championship. |\n| Win | 25–6–2 | Dean Lister | Decision (unanimous) | UFC Fight Night: Evans vs. Salmon | January 25, 2007 | 3 | 5:00 | Hollywood, Florida, United States | |\n| Win | 24–6–2 | Crafton Wallace | Submission (rear-naked choke) | Ortiz vs. Shamrock 3: The Final Chapter | October 10, 2006 | 2 | 1:14 | Hollywood, Florida, United States | |\n| Win | 23–6–2 | Joe Doerksen | Decision (unanimous) | UFC 58 | March 4, 2006 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 22–6–2 | Ivan Salaverry | Decision (unanimous) | UFC Ultimate Fight Night | August 6, 2005 | 3 | 5:00 | Las Vegas, Nevada, United States | Marquardt tested positive for nandrolone. |\n| Win | 21–6–2 | Izuru Takeuchi | Submission (rear-naked choke) | Pancrase: Spiral 4 | May 1, 2005 | 3 | 2:19 | Yokohama, Japan | Defended the Pancrase Middleweight Championship. Later vacated title. |\n| Win | 20–6–2 | Kazuo Misaki | Decision (unanimous) | Pancrase: Brave 10 | November 7, 2004 | 3 | 5:00 | Tokyo, Japan | Won the Pancrase Middleweight Championship. |\n| Draw | 19–6–2 | Eiji Ishikawa | Draw | Pancrase: Brave 6 | June 22, 2004 | 3 | 5:00 | Tokyo, Japan | |\n| Loss | 19–6–1 | Ricardo Almeida | Submission (guillotine choke) | Pancrase - Hybrid 10 | November 30, 2003 | 1 | 4:53 | Tokyo, Japan | Lost the Pancrase Middleweight Championship. |\n| Win | 19–5–1 | Yuji Hisamatsu | Decision (unanimous) | Pancrase - Hybrid 8 | October 4, 2003 | 2 | 5:00 | Osaka, Japan | |\n| Win | 18–5–1 | Steve Gomm | Submission (punches) | IFC: Global Domination | September 6, 2003 | 1 | 3:28 | Denver, Colorado, United States | |\n| Loss | 17–5–1 | Keiichiro Yamamiya | Decision (unanimous) | Pancrase - 2003 Neo-Blood Tournament Second Round | July 27, 2003 | 3 | 5:00 | Tokyo, Japan | |\n| Win | 17–4–1 | Izuru Takeuchi | KO (punches) | Pancrase - Hybrid 3 | March 8, 2003 | 1 | 1:29 | Tokyo, Japan | Defended the Pancrase Middleweight Championship. |\n| Win | 16–4–1 | Kiuma Kunioku | KO (flying knee) | Pancrase: Spirit 9 | December 21, 2002 | 3 | 4:36 | Tokyo, Japan | Won the Pancrase Middleweight Championship. |\n| Loss | 15–4–1 | Izuru Takeuchi | Decision (unanimous) | Pancrase: Spirit 7 | October 29, 2002 | 3 | 5:00 | Tokyo, Japan | |\n| Win | 15–3–1 | Seiki Ryo | Submission (armbar) | Pancrase: 2002 Neo-Blood Tournament Second Round | July 28, 2002 | 1 | 1:37 | Tokyo, Japan | |\n| Win | 14–3–1 | Kazuo Misaki | TKO (dislocated elbow) | Pancrase: Spirit 3 | March 25, 2002 | 1 | 0:29 | Tokyo, Japan | |\n| Loss | 13–3–1 | Kiuma Kunioku | Decision (majority) | Pancrase: Proof 7 | December 1, 2001 | 3 | 5:00 | Yokohama, Japan | Lost the Pancrase Middleweight Championship. |\n| Win | 13–2–1 | Yuji Hoshino | Submission (triangle choke) | Pancrase: Proof 6 | October 30, 2001 | 3 | 2:13 | Tokyo, Japan | Defended the Pancrase Middleweight Championship. |\n| Loss | 12–2–1 | Gil Castillo | Decision (unanimous) | IFC WC 14 | July 18, 2001 | 5 | 5:00 | Friant, California, United States | For the IFC World Welterweight Championship. |\n| Win | 12–1–1 | Masaya Kojima | Submission (armbar) | Pancrase: Proof 3 | May 13, 2001 | 1 | 1:45 | Tokyo, Japan | |\n| Win | 11–1–1 | Hikaru Sato | Submission (rear-naked choke) | Pancrase: Proof 2 | March 31, 2001 | 1 | 1:53 | Osaka, Japan | |\n| Draw | 10–1–1 | Kiuma Kunioku | Draw | Pancrase: Trans 7 | December 4, 2000 | 1 | 20:00 | Tokyo, Japan | Defended the Pancrase Middleweight Championship. |\n| Win | 10–1 | Shonie Carter | Decision (unanimous) | Pancrase: 2000 Anniversary Show | September 24, 2000 | 2 | 3:00 | Yokohama, Japan | Won the Pancrase Middleweight Championship. |\n| Win | 9–1 | Kiuma Kunioku | Decision (unanimous) | Pancrase: 2000 Anniversary Show | September 24, 2000 | 1 | 10:00 | Yokohama, Japan | King of Pancrase Middleweight Tournament Semifinal. |\n| Win | 8–1 | Daiju Takase | KO (knee) | Pancrase: Trans 4 | June 26, 2000 | 2 | 1:30 | Tokyo, Japan | |\n| Win | 7–1 | Anthony Washington | Submission (punches) | Ring Of Fire 1 | March 18, 2000 | 1 | 3:01 | Denver, Colorado, United States | Middleweight debut. Won the ROF Middleweight Championship. |\n| Loss | 6–1 | Genki Sudo | Submission (armbar) | Pancrase: Breakthrough 11 | December 18, 1999 | 1 | 13:31 | Yokohama, Japan | |\n| Win | 6–0 | David Harris | Submission (rear-naked choke) | Bas Rutten Invitational 4 | August 14, 1999 | 1 | 15:01 | Littleton, Colorado, United States | Won the BRI Lightweight Championship. |\n| Win | 5–0 | Josh Groves | Submission (triangle choke) | Bas Rutten Invitational 4 | August 14, 1999 | 1 | 1:49 | Littleton, Colorado, United States | BRI Lightweight Championship Semifinal. |\n| Win | 4–0 | Yves Edwards | Submission (heel hook) | Bas Rutten Invitational 4 | August 14, 1999 | 1 | 3:04 | Littleton, Colorado, United States | BRI Lightweight Championship Quarterfinal. |\n| Win | 3–0 | Jose Garcia | Submission (rear-naked choke) | Rumble in the Rockies | June 7, 1999 | 1 | 3:32 | Denver, Colorado, United States | Won the RITR Lightweight Championship. |\n| Win | 2–0 | Josh Medina | Submission (arm-triangle choke) | Rumble in the Rockies | June 7, 1999 | 1 | 0:27 | Denver, Colorado, United States | RITR Lightweight Championship Semifinal. |\n| Win | 1–0 | Mike Lee | Submission (rear-naked choke) | World Vale Tudo Federation - Durango | April 17, 1999 | 2 | 2:13 | Durango, Colorado, United States | Won the WVF Lightweight Championship. |" + }, + { + "from": "human", + "value": "Examine the following Wikipedia table, which is titled 'Nate Marquardt' and its section is titled 'Mixed martial arts record'. \nSome important table cells are highlighted with a different background color. Please create a single sentence that summarizes the highlighted table cells." + }, + { + "from": "gpt", + "value": "Nate Marquardt faced Crafton Wallace at Ortiz vs. Shamrock 3: The Final Chapter on October 10, 2006." + } + ] + }, + { + "id": "table_instructV_multi_round_13956", + "image": "table_instructV/images/Rotowire_train_table_3288.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Jazz | Utah | 109 | 28 | 25 | 29 | 27 | 23 | 57 | 12 | 48 | 59 | 33 | 28 | 36 | | | | |\n| Rockets | Houston | 91 | 23 | 20 | 22 | 26 | 19 | 37 | 9 | 43 | 67 | 22 | 43 | 22 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Jazz | | | | | | | | | | | | | | | | | | |\n| Gordon Hayward | 31 | 29 | 4 | 7 | 10-17 | 59% | 3-4 | 75% | 6-10 | 60% | 1 | 3 | 1 | 0 | 4 | 2 | F | Utah |\n| Rodney Hood | 33 | 20 | 1 | 2 | 8-16 | 50% | 3-8 | 38% | 1-2 | 50% | 1 | 1 | 0 | 0 | 1 | 1 | G | Utah |\n| Rudy Gobert | 36 | 19 | 22 | 2 | 8-11 | 73% | 0-0 | 0% | 3-3 | 100% | 0 | 1 | 4 | 12 | 10 | 2 | C | Utah |\n| Joe Ingles | 25 | 10 | 6 | 0 | 4-8 | 50% | 2-4 | 50% | 0-0 | 0% | 1 | 1 | 0 | 1 | 5 | 1 | N/A | Utah |\n| Derrick Favors | 29 | 10 | 8 | 4 | 5-10 | 50% | 0-1 | 0% | 0-1 | 0% | 0 | 1 | 4 | 2 | 6 | 4 | F | Utah |\n| Dante Exum | 34 | 10 | 5 | 1 | 4-12 | 33% | 2-9 | 22% | 0-0 | 0% | 0 | 2 | 1 | 2 | 3 | 1 | G | Utah |\n| Trevor Booker | 17 | 9 | 7 | 2 | 4-5 | 80% | 1-2 | 50% | 0-1 | 0% | 1 | 0 | 0 | 3 | 4 | 1 | N/A | Utah |\n| Elijah Millsap | 12 | 2 | 2 | 2 | 1-5 | 20% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 0 | 1 | 1 | 5 | N/A | Utah |\n| Jeremy Evans | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Utah |\n| Bryce Cotton | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Utah |\n| Jerrelle Benimon | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Utah |\n| Trey Burke | 22 | 0 | 2 | 3 | 0-8 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 1 | 1 | N/A | Utah |\n| Rockets | | | | | | | | | | | | | | | | | | |\n| Corey Brewer | 32 | 25 | 5 | 0 | 10-15 | 67% | 1-4 | 25% | 4-5 | 80% | 1 | 3 | 0 | 0 | 5 | 2 | N/A | Houston |\n| James Harden | 34 | 15 | 4 | 7 | 3-13 | 23% | 0-5 | 0% | 9-13 | 69% | 3 | 3 | 0 | 2 | 2 | 1 | G | Houston |\n| Donatas Motiejunas | 24 | 13 | 3 | 1 | 6-12 | 50% | 1-4 | 25% | 0-2 | 0% | 0 | 0 | 0 | 2 | 1 | 2 | C | Houston |\n| Terrence Jones | 23 | 11 | 10 | 0 | 4-9 | 44% | 1-1 | 100% | 2-2 | 100% | 2 | 1 | 0 | 2 | 8 | 1 | F | Houston |\n| Patrick Beverley | 23 | 9 | 1 | 1 | 4-8 | 50% | 1-4 | 25% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 4 | G | Houston |\n| Josh Smith | 15 | 7 | 2 | 1 | 3-8 | 38% | 1-5 | 20% | 0-0 | 0% | 0 | 0 | 1 | 0 | 2 | 1 | N/A | Houston |\n| Trevor Ariza | 31 | 4 | 3 | 1 | 1-4 | 25% | 1-3 | 33% | 1-2 | 50% | 1 | 2 | 0 | 1 | 2 | 4 | F | Houston |\n| Joey Dorsey | 16 | 4 | 4 | 0 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 4 | 4 | N/A | Houston |\n| Jason Terry | 19 | 3 | 1 | 3 | 1-4 | 25% | 1-4 | 25% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Houston |\n| Pablo Prigioni | 12 | 0 | 1 | 4 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Houston |\n| Nick Johnson | 5 | 0 | 2 | 1 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 2 | 0 | N/A | Houston |\n| KJ McDaniels | 5 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Houston |" + }, + { + "from": "human", + "value": "Based on the box-score and line-score tables displayed in this image for an NBA game between Jazz and Rockets on March 12, 2015, please provide a comprehensive summary of the game using the provided data statistics." + }, + { + "from": "gpt", + "value": "The Utah Jazz (28-36) handled to Houston Rockets (43-21), 109-91, on Thursday at the EnergySolutions Arena. Utah 's Rudy Gobert continued to show why the Jazz were comfortable jettisoning Enes Kanter at the trade deadline. The `` Stifle Tower '' had 19 points to go with 22 rebounds (12 of the offensive variety) and four blocks in just 36 minutes. The Jazz flustered James Harden all night, holding the MVP candidate to just 15 points on 3 of 13 shooting. The Jazz will have a chance to even the season series with the Rockets at two when they square off on the final day of the regular season. Houston was coming off a hard fought loss in Portland on Wednesday and came out flat against Utah. The Rockets were pushed around on the glass as they were out-rebounded by 20 for the second night in a row. The lone bright spot was Corey Brewer, who led the team in scoring for the second straight night, scoring 25 points. The Rockets have a couple days off to recover before finishing up their four-game road trip Sunday against the Clippers. Utah looked completely different Thursday than it did when it struggled to hold off New York on Tuesday. The Jazz held the high flying Rockets to just 43 first-half points and paired that with their highest point total since Jan. 30 against Golden State where they scored 110. Gordon Hayward was back in the fold for the Jazz after being held out of Tuesday 's game with back soreness. Hayward shined in his return with 29 points on 10-of-17 shooting and Rodney Hood posted a career-high 20 points. The Jazz will look to extend their winning streak to five when they host the Pistons on Saturday." + } + ] + }, + { + "id": "table_instructV_multi_round_14002", + "image": "table_instructV/images/Rotowire_train_table_912.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Knicks | New York | 105 | 18 | 32 | 26 | 29 | 18 | 47 | 15 | 47 | 80 | 32 | 25 | 38 | | | | |\n| Warriors | Golden State | 112 | 29 | 20 | 35 | 28 | 21 | 35 | 8 | 46 | 83 | 37 | 51 | 11 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Knicks | | | | | | | | | | | | | | | | | | |\n| Derrick Rose | 35 | 28 | 1 | 4 | 9-18 | 50% | 0-1 | 0% | 10-11 | 91% | 1 | 2 | 0 | 0 | 1 | 4 | G | New York |\n| Kristaps Porzingis | 40 | 24 | 15 | 2 | 9-21 | 43% | 2-6 | 33% | 4-4 | 100% | 0 | 2 | 2 | 4 | 11 | 3 | C | New York |\n| Carmelo Anthony | 35 | 15 | 6 | 2 | 6-12 | 50% | 1-4 | 25% | 2-2 | 100% | 0 | 2 | 2 | 2 | 4 | 1 | F | New York |\n| Justin Holiday | 15 | 10 | 3 | 1 | 4-6 | 67% | 2-4 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 1 | N/A | New York |\n| Ron Baker | 23 | 9 | 5 | 1 | 3-7 | 43% | 1-3 | 33% | 2-4 | 50% | 1 | 2 | 1 | 1 | 4 | 2 | N/A | New York |\n| Willy Hernangomez | 14 | 8 | 5 | 0 | 4-5 | 80% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 0 | 2 | 3 | 2 | N/A | New York |\n| Courtney Lee | 29 | 5 | 0 | 1 | 2-5 | 40% | 1-2 | 50% | 0-0 | 0% | 3 | 1 | 0 | 0 | 0 | 4 | G | New York |\n| Mindaugas Kuzminskas | 11 | 4 | 1 | 0 | 1-2 | 50% | 0-0 | 0% | 2-4 | 50% | 0 | 0 | 1 | 1 | 0 | 0 | N/A | New York |\n| Kyle O'Quinn | 11 | 2 | 4 | 5 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 3 | 3 | N/A | New York |\n| Lance Thomas | 27 | 0 | 7 | 2 | 0-6 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 6 | 0 | F | New York |\n| Chasson Randle | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Sasha Vujacic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Marshall Plumlee | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 37 | 31 | 8 | 6 | 11-24 | 46% | 5-13 | 39% | 4-6 | 67% | 2 | 2 | 0 | 2 | 6 | 2 | G | Golden State |\n| Klay Thompson | 37 | 29 | 4 | 1 | 8-21 | 38% | 4-9 | 44% | 9-9 | 100% | 1 | 1 | 0 | 2 | 2 | 1 | G | Golden State |\n| Draymond Green | 40 | 13 | 7 | 4 | 4-9 | 44% | 1-4 | 25% | 4-4 | 100% | 2 | 0 | 1 | 1 | 6 | 3 | F | Golden State |\n| Zaza Pachulia | 18 | 10 | 1 | 2 | 5-6 | 83% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 1 | 0 | 1 | 1 | C | Golden State |\n| David West | 11 | 7 | 1 | 0 | 3-4 | 75% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 1 | 0 | 2 | N/A | Golden State |\n| Andre Iguodala | 31 | 6 | 3 | 4 | 2-5 | 40% | 2-5 | 40% | 0-0 | 0% | 2 | 1 | 0 | 1 | 2 | 1 | N/A | Golden State |\n| JaVale McGee | 8 | 5 | 4 | 0 | 2-3 | 67% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 1 | 3 | 0 | N/A | Golden State |\n| Ian Clark | 6 | 4 | 0 | 1 | 2-5 | 40% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Golden State |\n| Patrick McCaw | 16 | 4 | 2 | 0 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 1 | 1 | N/A | Golden State |\n| Matt Barnes | 19 | 3 | 3 | 2 | 1-3 | 33% | 1-3 | 33% | 0-0 | 0% | 2 | 1 | 1 | 1 | 2 | 3 | F | Golden State |\n| James Michael McAdoo | 3 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 1 | N/A | Golden State |\n| Shaun Livingston | 14 | 0 | 0 | 1 | 0-4 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 3 | N/A | Golden State |\n| Kevon Looney | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |" + }, + { + "from": "human", + "value": "Could you analyze the table shown in the image and inform me about all the merged cell regions? Use the JSON {'top-left':(x, y), 'bottom-right':(z, w)} to represent each merged area, with (x, y) as the (first row, first column) and (z, w) as the (last row, last column). Note that the x, y, z, w all start from 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "For the table shown in this image, can you tell me the row and column numbers of this table? Your final answer should be in the JSON structure, formatted as {\"row_number\": \"m\", \"column_number\": \"n\"}." + }, + { + "from": "gpt", + "value": "There are 33 rows and 19 columns in the table. So, the final answer is {\"row_number\": \"33\", \"column_number\": \"19\"}." + }, + { + "from": "human", + "value": "Using the data statistics shown for the NBA game on 03/05/2017 in this picture, please construct an in-depth analysis and summary of the game." + }, + { + "from": "gpt", + "value": "The Golden State Warriors defeated the New York Knicks, 112-105, at Madison Square Garden on Sunday afternoon. Coming into Sunday, the Warriors (51-11) were looking to reestablish their confidence after falling flat in their first game without Kevin Durant (knee) on Thursday. The prolific Splash Bros made sure of that, putting together a performance that hearkened back to last season by combining for 60 points, including nine three-pointers. No other player on the team scored more than 13 but it proved to be enough to hold off a feisty Knicks (25-38) squad that kept matters close until the closing minute. New York got a pair of standout performances in their own right from Derrick Rose and Kristaps Porzingis, who nearly matched Curry and Thompson basket-for-basket with 53 combined points of their own. The Warriors notably lost the rebound battle by a 47-35 margin, but took much better care of the ball, turning it over only eight times as compared the Knicks' 15. Curry led the way with a game-high 31 points, which he supplemented with eight rebounds, six assists and two steals. Thompson was right behind him with 29 points, four boards, one assist and one steal. Green filled out the stat sheet with 13 points, seven rebounds, four assists, two steals and one block. Zaza Pachulia provided 10 points, two assists, one rebound, one steal and one block. Rose paced the Knicks with 28 points on 9-of-18 shooting from the floor and a 10-of-11 tally from the free-throw line. He added four assists, one rebound and one steal. Porzingis compiled a 24-point, 15-rebound double-double that also included two assists and two blocks. With his two teammates taking on such expanded roles Sunday, Carmelo Anthony turned in a rather modest 15 points, six rebounds, two assists and two blocks. Lance Thomas surprisingly went scoreless over 27 minutes, although he did supply seven boards and two assists. Justin Holiday led the bench with 10 points, three rebounds and one assist. The Warriors now head south to the Peach State for a Monday night showdown with the Atlanta Hawks, while the Knicks travel to Central Florida to tangle with the Orlando Magic on Monday evening as well." + } + ] + }, + { + "id": "table_instructV_multi_round_14011", + "image": "table_instructV/images/TabFact_2-16194551-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| tie no | home team | score | away team | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | bristol city | 1 - 1 | kingstonian | 14787 |\n| replay | kingstonian | 0 - 1 | bristol city | 3341 |\n| 2 | southampton | 3 - 1 | sheffield wednesday | 15251 |\n| 3 | gillingham | 2 - 4 | chelsea | 10419 |\n| 4 | blackburn rovers | 0 - 0 | derby county | 18858 |\n| replay | derby county | 2 - 5 | blackburn rovers | 15203 |\n| 5 | aston villa | 1 - 2 | leicester city | 26383 |\n| 6 | bolton wanderers | 5 - 1 | scunthorpe united | 11737 |\n| 7 | crewe alexandra | 0 - 1 | stockport county | 7318 |\n| 8 | middlesbrough | 0 - 0 | wimbledon | 20625 |\n| replay | wimbledon | 3 - 1 | middlesbrough | 5991 |\n| 9 | sunderland | 1 - 0 | ipswich town | 33626 |\n| 10 | everton | 0 - 3 | tranmere rovers | 39207 |\n| 11 | wycombe wanderers | 2 - 1 | wolverhampton wanderers | 9617 |\n| 12 | manchester city | 1 - 0 | coventry city | 24637 |\n| 13 | queen 's park rangers | 0 - 6 | arsenal | 19003 |\n| 14 | manchester united | 0 - 1 | west ham united | 67029 |\n| 15 | charlton athletic | 2 - 4 | tottenham hotspur | 18101 |\n| 16 | leeds united | 0 - 2 | liverpool | 37108 |" + }, + { + "from": "human", + "value": "Analyze the table's content, including its title '2000 - 01 fa cup', and determine whether the table supports or conflicts with the given claim. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nclaim: when chelsea visited gillingham , there were 10419 in attendance" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table supports the validity of the claim. Therefore, the final answer: {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title '2000 - 01 fa cup', and determine whether the table affirms or contradicts the given statement. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nstatement: : gillingham was the home team for the game that is tied with a value of 3" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it affirms the statement. So, the answer is {\"answer\": \"affirms\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_14076", + "image": "table_instructV/images/TABMWP_28403.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | Graphic designer | Florist |\n| --- | --- |\n| Description | Graphic designers use computer software to create visual designs that engage and inform customers. | Florists arrange flowers and plants to make decorative displays. |\n| Typical education required | Bachelor's degree in graphic design | High school diploma |\n| Median income | $50,500 per year | $27,000 per year |" + }, + { + "from": "human", + "value": "Problem: \nThis table shows information about two occupations. In which occupation would someone spend most of their time at a computer? (A) graphic designer (B) florist\n\nAnswer the above problem related to the table. In the end, output your final answer using the JSON format: {\"answer\": \"\"}.\nSolution:" + }, + { + "from": "gpt", + "value": "Look at the description for each occupation.\nFlorists make floral arrangements, so they probably don't spend most of their time at a computer. Since graphic designers use computer software, they probably spend most of their time at a computer.\n\nTherefore, the final answer is {\"answer\": \"graphic designer\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_14109", + "image": "table_instructV/images/TABMWP_2947.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 11 | 6 |\n| 11 | 7 |\n| 17 | 13 |\n| 15 | 0 |" + }, + { + "from": "human", + "value": "What is the count of rows and columns in the given table? Present the final answer in a JSON format {\"row_number\": \"m\", \"column_number\": \"n\"} such as {\"row_number\": \"2\", \"column_number\": \"3\"}." + }, + { + "from": "gpt", + "value": "There are 5 rows and 2 columns in the table. So, the final answer is {\"row_number\": \"5\", \"column_number\": \"2\"}." + }, + { + "from": "human", + "value": "Answer the following question based on the table information. Let's think step by step. Format the ultimate answer as a JSON, using the structure {\"answer\": \"\"}.\nLook at this table. Is this relation a function? (A) yes (B) no" + }, + { + "from": "gpt", + "value": "Look at the x-values in the table.\n\nThe x-value 11 is paired with multiple y-values, so the relation is not a function.\n\nTherefore, the final answer is {\"answer\": \"no\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_14153", + "image": "table_instructV/images/TAT-QA_5027d461-1237-4aab-af1f-f6b9f07bd8a3.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| | Year-ended 31 March 2019 | Year-ended 31 March 2018 |\n| --- | --- | --- |\n| | $M | $M |\n| Net cash flow from operating activities | 142.9 | 147.7 |\n| Exceptional items | 3.1 | 13.0 |\n| Net capital expenditure | (22.2) | (21.1) |\n| Unlevered free cash flow | 123.8 | 139.6 |" + }, + { + "from": "human", + "value": "What was the percentage change in exceptional items in 2019 from 2018?\nCarefully answer the question according to the table. In addition, output the final answer as JSON in the format {\"answer\": []}." + }, + { + "from": "gpt", + "value": "According to this table, we have the following calculations: (3.1-13.0)/13.0 = -76.15.\nThus, the answer is {\"answer\": [\"-76.15\"]}." + }, + { + "from": "human", + "value": "The image shows a table. Answer the following question based on the table. Conclude your response with the final answer in the JSON format, structured as {\"answer\": []}.\nIn which year was the amount of Net cash flow from operating activities larger?" + }, + { + "from": "gpt", + "value": "Based on the information in the table, 147.7>142.9. Therefore, the answer is {\"answer\": [\"2018\"]}." + }, + { + "from": "human", + "value": "What was the change in exceptional items in 2019 from 2018?\nCarefully answer the question according to the table. Format the ultimate answer as a JSON, using the structure {\"answer\": []}." + }, + { + "from": "gpt", + "value": "According to this table, we have the following calculations: 3.1-13.0 = -9.9.\nThus, the answer is {\"answer\": [\"-9.9\"]}." + } + ] + }, + { + "id": "table_instructV_multi_round_14159", + "image": "table_instructV/images/TABMWP_35167.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Number of necklaces | Number of pearls |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | 10 |\n| 6 | ? |" + }, + { + "from": "human", + "value": "Use the provided table image to solve the math challenge step by step. Format the ultimate answer as a JSON, using the structure {\"answer\": \"\"}.\nEach necklace has 2 pearls. How many pearls are on 6 necklaces? (Unit: pearls)" + }, + { + "from": "gpt", + "value": "Count by twos. Use the chart: there are 12 pearls on 6 necklaces.\n\nThus, the final answer is {\"answer\": \"12\"}." + }, + { + "from": "human", + "value": "Recognize the table in this picture and return a latex-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|}\n\\hline\n Number of necklaces & Number of pearls \\\\\n\\hline\n 1 & 2 \\\\\n\\hline\n 2 & 4 \\\\\n\\hline\n 3 & 6 \\\\\n\\hline\n 4 & 8 \\\\\n\\hline\n 5 & 10 \\\\\n\\hline\n 6 & ? \\\\\n\\hline\n\\end{tabular}" + } + ] + }, + { + "id": "table_instructV_multi_round_14246", + "image": "table_instructV/images/TABMWP_13015.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $745 | 22,700 | 3,900 |\n| $865 | 21,400 | 8,100 |\n| $985 | 20,100 | 12,300 |\n| $1,105 | 18,800 | 16,500 |\n| $1,225 | 17,500 | 20,700 |" + }, + { + "from": "human", + "value": "Look at the table. Then answer the question. At a price of $985, is there a shortage or a surplus? (A) shortage (B) surplus\n\nSolve the above problem using the table information. Conclude your response with the final answer in the JSON format, structured as {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "At the price of $985, the quantity demanded is greater than the quantity supplied. There is not enough of the good or service for sale at that price. So, there is a shortage.\n\n\nThus, the final answer is {\"answer\": \"shortage\"}." + }, + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the HTML format, presented as plain text." + }, + { + "from": "gpt", + "value": "\n\n\n\n\n\n\n
Price Quantity demanded Quantity supplied
$745 22,700 3,900
$865 21,400 8,100
$985 20,100 12,300
$1,105 18,800 16,500
$1,225 17,500 20,700
" + } + ] + }, + { + "id": "table_instructV_multi_round_14258", + "image": "table_instructV/images/Rotowire_train_table_2005.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Celtics | Boston | 114 | 27 | 26 | 30 | 31 | 29 | 43 | 13 | 56 | 71 | 35 | 10 | 14 | | | | |\n| Timberwolves | Minnesota | 98 | 24 | 24 | 29 | 21 | 23 | 37 | 13 | 45 | 50 | 50 | 5 | 20 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Kelly Olynyk | 25 | 21 | 8 | 3 | 8-13 | 62% | 2-4 | 50% | 3-6 | 50% | 0 | 0 | 1 | 2 | 6 | 5 | N/A | Boston |\n| Jeff Green | 36 | 18 | 7 | 3 | 6-13 | 46% | 2-4 | 50% | 4-4 | 100% | 0 | 1 | 0 | 1 | 6 | 2 | F | Boston |\n| Tyler Zeller | 24 | 14 | 4 | 3 | 7-9 | 78% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 1 | 0 | 4 | 3 | C | Boston |\n| Jared Sullinger | 29 | 14 | 10 | 3 | 7-9 | 78% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 2 | 3 | 7 | 1 | F | Boston |\n| Avery Bradley | 32 | 14 | 5 | 7 | 6-14 | 43% | 0-3 | 0% | 2-2 | 100% | 3 | 0 | 1 | 2 | 3 | 2 | G | Boston |\n| Evan Turner | 27 | 10 | 3 | 4 | 5-9 | 56% | 0-2 | 0% | 0-0 | 0% | 1 | 2 | 1 | 0 | 3 | 1 | G | Boston |\n| Brandon Bass | 17 | 9 | 2 | 0 | 4-7 | 57% | 0-1 | 0% | 1-2 | 50% | 1 | 2 | 0 | 1 | 1 | 2 | N/A | Boston |\n| Marcus Smart | 27 | 8 | 1 | 4 | 3-6 | 50% | 2-4 | 50% | 0-0 | 0% | 1 | 3 | 0 | 1 | 0 | 3 | N/A | Boston |\n| Phil Pressey | 16 | 6 | 2 | 2 | 2-5 | 40% | 2-4 | 50% | 0-0 | 0% | 1 | 1 | 0 | 2 | 0 | 1 | N/A | Boston |\n| Gerald Wallace | 7 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 0 | N/A | Boston |\n| James Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Marcus Thornton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Shabazz Muhammad | 38 | 26 | 5 | 5 | 11-15 | 73% | 2-2 | 100% | 2-2 | 100% | 0 | 2 | 0 | 2 | 3 | 1 | G | Minnesota |\n| Chase Budinger | 28 | 19 | 4 | 0 | 8-12 | 67% | 3-5 | 60% | 0-1 | 0% | 1 | 1 | 1 | 1 | 3 | 2 | N/A | Minnesota |\n| Thaddeus Young | 30 | 13 | 2 | 6 | 6-19 | 32% | 0-1 | 0% | 1-2 | 50% | 1 | 2 | 0 | 0 | 2 | 2 | F | Minnesota |\n| Gorgui Dieng | 33 | 9 | 4 | 1 | 4-10 | 40% | 0-0 | 0% | 1-1 | 100% | 1 | 2 | 2 | 4 | 0 | 3 | C | Minnesota |\n| Mo Williams | 25 | 8 | 2 | 4 | 4-9 | 44% | 0-1 | 0% | 0-1 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Minnesota |\n| Anthony Bennett | 16 | 7 | 7 | 1 | 3-8 | 38% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 0 | 4 | 3 | 2 | N/A | Minnesota |\n| Zach LaVine | 23 | 7 | 2 | 3 | 3-7 | 43% | 1-2 | 50% | 0-0 | 0% | 3 | 3 | 0 | 1 | 1 | 1 | G | Minnesota |\n| Andrew Wiggins | 26 | 5 | 4 | 2 | 2-10 | 20% | 0-0 | 0% | 1-1 | 100% | 1 | 0 | 2 | 1 | 3 | 1 | F | Minnesota |\n| Jeff Adrien | 15 | 3 | 7 | 1 | 1-2 | 50% | 0-0 | 0% | 1-4 | 25% | 0 | 2 | 0 | 2 | 5 | 1 | N/A | Minnesota |\n| Robbie Hummel | 4 | 1 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 1-2 | 50% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Minnesota |\n| Glenn Robinson | 2 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Minnesota |\n| Kevin Martin | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Ricky Rubio | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |" + }, + { + "from": "human", + "value": "This picture contains data records of an NBA game between Celtics and Timberwolves. The game date is 19/12/2014. Based on the given data, generate a comprehensive summary for this game." + }, + { + "from": "gpt", + "value": "The Celtics (10-14) got 21 points from Kelly Olynyk en route to a 114-98 win over the Timberwolves (5-20) on Friday. Boston shot a scorching 57 percent from the floor and hit eight three-pointers while out-rebounding Minnesota 43-37. All five starters scored in double-figures, led by 18 points and seven rebounds from Jeff Green. Jared Sullinger added 14 points and 10 rebounds, and Tyler Zeller and Avery Bradley each added 14 as well. Starting in place of Rajon Rondo, who was dealt to Dallas on Thursday, Evan Turner had 10 points and four assists in 27 minutes. The Wolves, who shot 45 percent from the floor, were led by 26 points from Shabazz Muhammad. The second-year forward is off to a strong start in December, averaging 17 points, 5 rebounds and shooting better 50 percent from the floor. Thaddeus Young added 13 points and Chase Budinger had 19 off the bench. Up next, the Wolves return home to host the Pacers on Sunday. Boston hits the road to take on the Heat in Miami, also on Sunday." + } + ] + }, + { + "id": "table_instructV_multi_round_14313", + "image": "table_instructV/images/TABMWP_33093.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Number of bracelets | Number of opals |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | ? |" + }, + { + "from": "human", + "value": "Watch this table and show a latex-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|}\n\\hline\n Number of bracelets & Number of opals \\\\\n\\hline\n 1 & 2 \\\\\n\\hline\n 2 & 4 \\\\\n\\hline\n 3 & 6 \\\\\n\\hline\n 4 & ? \\\\\n\\hline\n\\end{tabular}" + }, + { + "from": "human", + "value": "View the table, then figure out the solution to this math problem. Conclude your response with a final answer in the JSON format {\"answer\": \"\"}.\nProblem: Each bracelet has 2 opals. How many opals are on 4 bracelets? (Unit: opals)\nYour solution:" + }, + { + "from": "gpt", + "value": "Count by twos. Use the chart: there are 8 opals on 4 bracelets.\n\nTherefore, the final answer is {\"answer\": \"8\"}." + }, + { + "from": "human", + "value": "Your task:\nLook at the table image, determine the locations of the following cells. A cell's location MUST be represented as a json structure {'value': '', 'location': (row_id, column_id)}, with row and column id beginning from 1. Represent the location as 'DOES NOT EXIST' if a cell is not present in the table.\nTarget cells:\n(1) 'Number of bracelets';\n(2) 'Number of opals';\n(3) '1';" + }, + { + "from": "gpt", + "value": "The target cell locations are as follows:\n(1) {'value': 'Number of bracelets', 'location': (1, 1)}\n(2) {'value': 'Number of opals', 'location': (1, 2)}\n(3) {'value': '1', 'location': (2, 1)}" + } + ] + }, + { + "id": "table_instructV_multi_round_14405", + "image": "table_instructV/images/TABMWP_30738.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Number of necklaces | Number of pearls |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | ? |" + }, + { + "from": "human", + "value": "Solve the math problem below using the information from the table. Detail each step. Output the final answer as JSON in the format {\"answer\": \"\"}.\n\nEach necklace has 2 pearls. How many pearls are on 4 necklaces? (Unit: pearls)" + }, + { + "from": "gpt", + "value": "Count by twos. Use the chart: there are 8 pearls on 4 necklaces.\n\nTherefore, the final answer is {\"answer\": \"8\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_14479", + "image": "table_instructV/images/TabFact_1-10236830-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| nomination | actors name | film name | director | country |\n| --- | --- | --- | --- | --- |\n| best actor in a leading role | yuriy dubrovin | okraina | pyotr lutsik | ukraine |\n| best actor in a leading role | zurab begalishvili | zdes rassvet | zaza urushadze | georgia |\n| best actress in a leading role | galina bokashevskaya | totalitarian romance | vyacheslav sorokin | russia |\n| best actor in a supporting role | vsevolod shilovskiy | barhanov and his bodyguard | valeriy lanskoy | russia |\n| best actor in a supporting role | dragan nikolić | barrel of gunpowder | goran paskaljevic | serbia |\n| best actress in a supporting role | zora manojlovic | rane | srdjan dragojevic | serbia |\n| best debut | agnieszka włodarczyk | sara | maciej ślesicki | poland |" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table with its caption 'stozhary', the goal is to distinguish whether the following claim is supported or refuted by the table. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nvsevolod shilovskiy , from russia , was nominated for best debut" + }, + { + "from": "gpt", + "value": "According to the table, the claim is refuted by the table information. Therefore, the final answer: {\"answer\": \"refuted\"}." + }, + { + "from": "human", + "value": "Examine the table with the caption 'stozhary', classify whether the provided table confirms or opposes the claim. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nclaim: galina bokashevskaya was nominated for best actress in a leading role" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it confirms the claim. Hence, the answer is {\"answer\": \"confirms\"}." + }, + { + "from": "human", + "value": "This is a table named 'stozhary', please determine whether the given statement is upheld or disputed by the table information. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nyuriy dubrovin is the actor who had a nomination for best actor in a leading role for the film name rane" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the statement is false. So, the answer is {\"answer\": \"disputed\"}." + }, + { + "from": "human", + "value": "According to the table information regarding 'stozhary', tell me whether the provided table entails or conflicts with the statement. Show your final answer in the JSON format {\"answer\": \"\"}.\ndragan nikolić from serbia was nominated for best actor in a supporting role" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the statement. Consequently, the answer is {\"answer\": \"entails\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_14512", + "image": "table_instructV/images/TabFact_2-17258554-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| fin pos | car no | driver | team | laps | time / retired | grid | laps led | points |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 9 | scott dixon | target chip ganassi | 85 | 1:47:24.2663 | 6 | 29 | 50 |\n| 2 | 27 | dario franchitti | andretti green | 85 | + 2.6917 | 5 | 6 | 40 |\n| 3 | 3 | hãlio castroneves | team penske | 85 | + 8.6783 | 1 | 37 | 35 + 3 |\n| 4 | 11 | tony kanaan | andretti green | 85 | + 8.9611 | 3 | 13 | 32 |\n| 5 | 7 | danica patrick | andretti green | 85 | + 25.2578 | 2 | 0 | 30 |\n| 6 | 14 | darren manning | aj foyt racing | 85 | + 30.4606 | 8 | 0 | 28 |\n| 7 | 17 | ryan hunter - reay | rahal letterman | 85 | + 44.5001 | 10 | 0 | 26 |\n| 8 | 15 | buddy rice | dreyer & reinbold racing | 85 | + 49.9197 | 9 | 0 | 24 |\n| 9 | 2 | tomas scheckter | vision racing | 85 | + 54.5332 | 12 | 0 | 22 |\n| 10 | 10 | dan wheldon | target chip ganassi | 85 | + 55.1833 | 11 | 0 | 20 |\n| 11 | 8 | scott sharp | rahal letterman | 84 | + 1 lap | 15 | 0 | 19 |\n| 12 | 55 | kosuke matsuura | panther racing | 84 | + 1 lap | 13 | 0 | 18 |\n| 13 | 22 | a j foyt iv | vision racing | 84 | + 1 lap | 14 | 0 | 17 |\n| 14 | 6 | sam hornish , jr | team penske | 84 | + 1 lap | 7 | 0 | 16 |\n| 15 | 5 | sarah fisher | dreyer & reinbold racing | 83 | + 2 laps | 17 | 0 | 15 |\n| 16 | 20 | ed carpenter | vision racing | 82 | + 3 laps | 16 | 0 | 14 |\n| 17 | 4 | vitor meira | panther racing | 54 | mechanical | 18 | 0 | 13 |\n| 18 | 26 | marco andretti | andretti green | 0 | collision | 4 | 0 | 12 |" + }, + { + "from": "human", + "value": "According to the table information regarding '2007 honda 200', tell me whether the provided table supports or disproves the claim. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nvitor meira of the panther racing team has the third - highest grid number with 13" + }, + { + "from": "gpt", + "value": "Based on the table, the claim can not hold true. Thus, the final answer is {\"answer\": \"disproves\"}." + }, + { + "from": "human", + "value": "According to the information in the given table regarding '2007 honda 200', tell me whether the statement is entailed or challenged by the table. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\na total of eight drivers finished with 85 laps , while six had 84 laps" + }, + { + "from": "gpt", + "value": "By using the table as supporting evidence, it is evident that the statement is incorrect. Consequently, the answer is {\"answer\": \"challenged\"}." + }, + { + "from": "human", + "value": "Determine the relationship between the table and the hypothesis, classify it as supported or refuted. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nTable title: 2007 honda 200\nhypothesis: the highest laps led of 37 was by driver hã©lio castroneves" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the hypothesis is valid. Hence, the answer is {\"answer\": \"supported\"}." + }, + { + "from": "human", + "value": "Determine the relationship between the table and the hypothesis, classify it as affirmed or contradicted. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nTable title: 2007 honda 200\nhypothesis: vitor meira of the panther racing team has the highest grid of 18" + }, + { + "from": "gpt", + "value": "Based on the table information, the hypothesis is true. Thus, the answer is {\"answer\": \"affirmed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_14546", + "image": "table_instructV/images/TabFact_1-1301373-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| team | location | stadium | founded | joined | head coach | captain |\n| --- | --- | --- | --- | --- | --- | --- |\n| adelaide united | adelaide , sa | coopers stadium | 2003 | 2005 | josep gombau | eugene galekoviä‡ |\n| brisbane roar | brisbane , qld | suncorp stadium | 2004 | 2005 | mike mulvey | matt smith |\n| central coast mariners | gosford , nsw | bluetongue stadium | 2004 | 2005 | graham arnold | john hutchinson |\n| melbourne heart | melbourne , vic | aami park | 2008 | 2010 | john aloisi | harry kewell |\n| melbourne victory | melbourne , vic | aami park & etihad stadium | 2004 | 2005 | kevin muscat | mark milligan |\n| newcastle jets | newcastle , nsw | hunter stadium | 2000 | 2005 | gary van egmond | ruben zadkovich |\n| perth glory | perth , wa | nib stadium | 1995 | 2005 | alistair edwards | jacob burns |\n| sydney fc | sydney , nsw | allianz stadium | 2004 | 2005 | frank farina | alessandro del piero |\n| wellington phoenix | wellington , nzl | westpac stadium | 2007 | 2007 | ernie merrick | andrew durante |" + }, + { + "from": "human", + "value": "Examine the table titled 'a - league' and judge whether the table supports or disproves the following statement. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nmelbourne is the only city with 2 teams participating in a league" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it supports the statement. So, the answer is {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "Analyze the table picture about 'a - league' and classify whether the next sentence is upheld or opposed by the table. Show your final answer in the JSON format {\"answer\": \"\"}.\n\nmelbourne heart is the newest club" + }, + { + "from": "gpt", + "value": "According to the table, the sentence is upheld by the table information. Therefore, the final answer: {\"answer\": \"upheld\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_14616", + "image": "table_instructV/images/ToTTo_train_table_25320.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Chart (2013) | Peak position |\n| --- | --- |\n| UK Albums (OCC) | 162 |" + }, + { + "from": "human", + "value": "Give you a Wikipedia table titled 'Illuminate... (The Hits and More)'. Its section title is 'Charts'. \nBased on the table and above metadata, generate a one-sentence description about highlighted table cells." + }, + { + "from": "gpt", + "value": "The Illuminate... (The Hits and More) album debuted at No. 162 on the UK Albums Chart." + } + ] + }, + { + "id": "table_instructV_multi_round_14683", + "image": "table_instructV/images/TAT-QA_b29f8e9b-790c-48fc-aede-96bc09bf8054.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| | Year-ended 31 March 2019 | Year-ended 31 March 2018 Restated See note 2 |\n| --- | --- | --- |\n| | $M | $M |\n| Wages and salaries | 286.0 | 271.8 |\n| Social security costs | 25.6 | 27.3 |\n| Pension costs | 8.9 | 8.4 |\n| Other costs | 12.7 | 12.1 |\n| | 333.2 | 319.6 |\n| Share-based payments (see note 29) | 36.9 | 42.3 |\n| Total employee costs | 370.1 | 361.9 |" + }, + { + "from": "human", + "value": "Answer the following question based on this table. Conclude your response with a final answer in the JSON format {\"answer\": []}.\nWhat was the percentage change in total employee costs in 2019 from 2018?" + }, + { + "from": "gpt", + "value": "Based on the given table:\n(370.1-361.9)/361.9 = 2.27\nTherefore, the answer is {\"answer\": [\"2.27\"]}." + }, + { + "from": "human", + "value": "Answer the question based on this table. The concluding answer should be in the JSON structure, formatted as {\"answer\": []}. For instance, {\"answer\": [\"23\", \"14.5\"]}.\nQuestion: What was the change in total employee costs in 2019 from 2018?\nAnswer: " + }, + { + "from": "gpt", + "value": "Using the number listed in the table, we have the following computations: 370.1-361.9 = 8.2\n\nAs a result, the final answer is {\"answer\": [\"8.2\"]}." + }, + { + "from": "human", + "value": "Looking at the table picture, what is the concise answer to the question posed below? Present the final answer in a JSON format {\"answer\": []}.\nWhat was the total employee costs in 2019?" + }, + { + "from": "gpt", + "value": "According to the table, the final answer is {\"answer\": [\"370.1\"]}." + }, + { + "from": "human", + "value": "Answer the following question in detail based on the table image. The concluding answer should be in the JSON structure, formatted as {\"answer\": []}. For instance, {\"answer\": [\"23\", \"14.5\"]}.\nIn which year was Total employee costs larger?" + }, + { + "from": "gpt", + "value": "Because 370.1>361.9, the final answer is {\"answer\": [\"2019\"]}." + }, + { + "from": "human", + "value": "Regarding the table displayed, can you identify how many rows and columns it has? Your final answer should be in the JSON structure, formatted as {\"row_number\": \"m\", \"column_number\": \"n\"}." + }, + { + "from": "gpt", + "value": "This table has 9 rows and 3 columns. Thus, the final answer is {\"row_number\": \"9\", \"column_number\": \"3\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_14783", + "image": "table_instructV/images/TabFact_1-27170987-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| position | nationality | name | league apps | league goals | fa cup apps | fa cup goals | total apps | total goals |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| fw | scotland | jack angus | 3 | 1 | 1 | 0 | 4 | 1 |\n| fb | england | charles baker | 18 | 5 | 5 | 0 | 23 | 12 |\n| gk | england | jack barrett | 3 | 0 | 0 | 0 | 3 | 0 |\n| gk | england | tom cain | 10 | 0 | 0 | 0 | 10 | 0 |\n| gk | england | walter cox | 3 | 0 | 5 | 0 | 8 | 0 |\n| hb | scotland | jimmy dale | 3 | 0 | 2 | 0 | 5 | 0 |\n| fw | england | jack farrell | 17 | 10 | 5 | 4 | 22 | 14 |\n| fb | wales | david hamer | 4 | 0 | 1 | 0 | 5 | 0 |\n| hb | england | john hodgkinson | 7 | 2 | 1 | 0 | 8 | 2 |\n| hb | scotland | sergt inglis | 1 | 0 | 0 | 0 | 1 | 0 |\n| fw | scotland | watty keay | 15 | 6 | 5 | 3 | 20 | 9 |\n| fw | england | bob kiddle | 1 | 0 | 0 | 0 | 1 | 0 |\n| hb | england | alf littlehales | 17 | 4 | 5 | 1 | 22 | 5 |\n| hb | scotland | john mcmillan | 4 | 0 | 0 | 0 | 4 | 0 |\n| fb | england | george marshall | 8 | 0 | 3 | 0 | 11 | 0 |\n| fb | scotland | samuel meston | 18 | 0 | 5 | 1 | 23 | 1 |\n| fw | scotland | willie naughton | 17 | 8 | 4 | 3 | 21 | 11 |\n| fb | england | gunner phillips | 1 | 0 | 0 | 0 | 1 | 0 |\n| gk | ireland | matt reilly | 2 | 0 | 0 | 0 | 2 | 0 |\n| fb | england | joe rogers | 8 | 1 | 1 | 0 | 9 | 1 |\n| hb | england | victor smith | 1 | 0 | 0 | 0 | 1 | 0 |\n| hb | england | ernie taylor | 8 | 1 | 2 | 1 | 10 | 2 |\n| hb | england | lachie thomson | 12 | 0 | 5 | 0 | 17 | 0 |" + }, + { + "from": "human", + "value": "Analyze this table picture about '1895 - 96 southampton st. mary 's f.c. season' and classify whether the given table entails or opposes the claim. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\n\nthe lowest number of total goals for a player with 7 league goals is nine" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it opposes the claim. So, the answer is {\"answer\": \"opposes\"}." + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following hypothesis is entailed or challenged by the table. The final result should be presented in the JSON format of {\"answer\": \"\"}.\ntable title:1895 - 96 southampton st. mary 's f.c. season\nhypothesis: willie naughton had 17 league apps and 11 total goals" + }, + { + "from": "gpt", + "value": "According to the table, the hypothesis is entailed by the table information. Therefore, the final answer: {\"answer\": \"entailed\"}." + }, + { + "from": "human", + "value": "Determine the relationship between the table and the sentence, classify it as upheld or refuted. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nTable title: 1895 - 96 southampton st. mary 's f.c. season\nsentence: the lowest number of fa cup goals by a player is 1" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the sentence is not valid. Hence, the answer is {\"answer\": \"refuted\"}." + }, + { + "from": "human", + "value": "Analyze this table picture about '1895 - 96 southampton st. mary 's f.c. season' and classify whether the given table affirms or contradicts the statement. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\n\nthe lowest number of total goals for a player with six league goals is nine" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table affirms the validity of the statement. Therefore, the final answer: {\"answer\": \"affirms\"}." + }, + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the latex text format." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|c|c|c|c|}\n\\hline\n position & nationality & name & league apps & league goals & fa cup apps & fa cup goals & total apps & total goals \\\\\n\\hline\n fw & scotland & jack angus & 3 & 1 & 1 & 0 & 4 & 1 \\\\\n\\hline\n fb & england & charles baker & 18 & 5 & 5 & 0 & 23 & 12 \\\\\n\\hline\n gk & england & jack barrett & 3 & 0 & 0 & 0 & 3 & 0 \\\\\n\\hline\n gk & england & tom cain & 10 & 0 & 0 & 0 & 10 & 0 \\\\\n\\hline\n gk & england & walter cox & 3 & 0 & 5 & 0 & 8 & 0 \\\\\n\\hline\n hb & scotland & jimmy dale & 3 & 0 & 2 & 0 & 5 & 0 \\\\\n\\hline\n fw & england & jack farrell & 17 & 10 & 5 & 4 & 22 & 14 \\\\\n\\hline\n fb & wales & david hamer & 4 & 0 & 1 & 0 & 5 & 0 \\\\\n\\hline\n hb & england & john hodgkinson & 7 & 2 & 1 & 0 & 8 & 2 \\\\\n\\hline\n hb & scotland & sergt inglis & 1 & 0 & 0 & 0 & 1 & 0 \\\\\n\\hline\n fw & scotland & watty keay & 15 & 6 & 5 & 3 & 20 & 9 \\\\\n\\hline\n fw & england & bob kiddle & 1 & 0 & 0 & 0 & 1 & 0 \\\\\n\\hline\n hb & england & alf littlehales & 17 & 4 & 5 & 1 & 22 & 5 \\\\\n\\hline\n hb & scotland & john mcmillan & 4 & 0 & 0 & 0 & 4 & 0 \\\\\n\\hline\n fb & england & george marshall & 8 & 0 & 3 & 0 & 11 & 0 \\\\\n\\hline\n fb & scotland & samuel meston & 18 & 0 & 5 & 1 & 23 & 1 \\\\\n\\hline\n fw & scotland & willie naughton & 17 & 8 & 4 & 3 & 21 & 11 \\\\\n\\hline\n fb & england & gunner phillips & 1 & 0 & 0 & 0 & 1 & 0 \\\\\n\\hline\n gk & ireland & matt reilly & 2 & 0 & 0 & 0 & 2 & 0 \\\\\n\\hline\n fb & england & joe rogers & 8 & 1 & 1 & 0 & 9 & 1 \\\\\n\\hline\n hb & england & victor smith & 1 & 0 & 0 & 0 & 1 & 0 \\\\\n\\hline\n hb & england & ernie taylor & 8 & 1 & 2 & 1 & 10 & 2 \\\\\n\\hline\n hb & england & lachie thomson & 12 & 0 & 5 & 0 & 17 & 0 \\\\\n\\hline\n\\end{tabular}" + } + ] + }, + { + "id": "table_instructV_multi_round_14850", + "image": "table_instructV/images/ToTTo_train_table_14930.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Year | Quantity in service at start of year | Number withdrawn | Quantity withdrawn | Locomotive numbers |\n| --- | --- | --- | --- | --- |\n| 1952 | 189 | 1 | 1 | 45637 |\n| 1960 | 188 | 2 | 1 | 45609 |\n| 1961 | 187 | 5 | 3 | 45616/19/30 |\n| 1962 | 184 | 46 | 41 | 45559/66/70/76/82/87/94, 45603/07/15/21/28/36/51/56/62/65/73/77-79/83/86-88/91-93, 45707/11/13/15/18/20/22/24-25/27-29/31 |\n| 1963 | 143 | 77 | 31 | 45555/60/75/91, 45624-25/34/39/44-46/48-50/59/68-69/71/80, 45701-02/06/09/12/14/17/19/30/34/38/40 |\n| 1964 | 112 | 141 | 64 | 45552-54/56-58/61/64/68-69/71-72/77-80/83-85/92/98-99, 45601/05-06/10-14/17-18/20/22-23/31/35/38/40-41/57/63/70/72/74/76/81-82/85/89-90/95-96/99, 45700/03/08/10/16/23/32-33/37/41 |\n| 1965 | 48 | 174 | 33 | 45563/67/73/86/88-90/95/97, 45600/02/04/08/26/29/32-33/42/52-53/55/58/61/64/66-67/84/98, 45704-05/21/26/42 |\n| 1966 | 15 | 182 | 7 | 45574/81/96, 45627/43/54/60 |\n| 1967 | 8 | 189 | 8 | 45562/65/93, 45647/75/94/97, 45739 |" + }, + { + "from": "human", + "value": "Here's a Wikipedia table under the title 'LMS Jubilee Class', with a section titled 'Withdrawal' \nBased on the table information, construct a one-sentence summary of the highlighted cells." + }, + { + "from": "gpt", + "value": "The withdrawals of engine No. 45609 was in 1960 and last engine to be withdrawn was No.45563 in 1967." + } + ] + }, + { + "id": "table_instructV_multi_round_14904", + "image": "table_instructV/images/Rotowire_train_table_2447.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Spurs | San Antonio | 102 | 25 | 17 | 34 | 26 | 23 | 56 | 18 | 47 | 100 | 41 | 1 | 1 | | | | |\n| Nets | Brooklyn | 75 | 21 | 26 | 17 | 11 | 17 | 32 | 15 | 40 | 53 | 31 | 0 | 2 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Kawhi Leonard | 26 | 16 | 10 | 1 | 6-16 | 38% | 0-2 | 0% | 4-4 | 100% | 2 | 4 | 1 | 1 | 9 | 3 | F | San Antonio |\n| Tim Duncan | 29 | 15 | 8 | 1 | 4-7 | 57% | 0-0 | 0% | 7-7 | 100% | 0 | 2 | 0 | 0 | 8 | 2 | C | San Antonio |\n| Manu Ginobili | 22 | 12 | 5 | 4 | 5-12 | 42% | 2-6 | 33% | 0-0 | 0% | 1 | 1 | 1 | 0 | 5 | 0 | N/A | San Antonio |\n| Patty Mills | 18 | 11 | 3 | 3 | 4-6 | 67% | 3-5 | 60% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 0 | N/A | San Antonio |\n| LaMarcus Aldridge | 30 | 10 | 11 | 4 | 5-11 | 46% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 5 | 6 | 0 | F | San Antonio |\n| Tony Parker | 24 | 10 | 1 | 4 | 5-8 | 63% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 3 | G | San Antonio |\n| Danny Green | 27 | 8 | 4 | 2 | 3-6 | 50% | 2-5 | 40% | 0-0 | 0% | 0 | 2 | 0 | 2 | 2 | 0 | G | San Antonio |\n| Boris Diaw | 19 | 7 | 3 | 3 | 3-5 | 60% | 1-1 | 100% | 0-0 | 0% | 1 | 2 | 0 | 0 | 3 | 2 | N/A | San Antonio |\n| Boban Marjanovic | 5 | 6 | 5 | 1 | 2-5 | 40% | 0-0 | 0% | 2-2 | 100% | 0 | 2 | 0 | 3 | 2 | 0 | N/A | San Antonio |\n| Rasual Butler | 11 | 3 | 1 | 0 | 1-4 | 25% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | San Antonio |\n| Ray McCallum | 6 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 0 | 0 | 1 | N/A | San Antonio |\n| David West | 14 | 2 | 3 | 0 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 3 | 2 | N/A | San Antonio |\n| Kyle Anderson | 11 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 0 | 2 | 3 | N/A | San Antonio |\n| Nets | | | | | | | | | | | | | | | | | | |\n| Brook Lopez | 32 | 17 | 3 | 4 | 6-11 | 55% | 0-0 | 0% | 5-6 | 83% | 0 | 2 | 1 | 0 | 3 | 3 | C | Brooklyn |\n| Jarrett Jack | 27 | 12 | 6 | 7 | 5-13 | 39% | 2-3 | 67% | 0-0 | 0% | 1 | 2 | 0 | 0 | 6 | 0 | G | Brooklyn |\n| Rondae Hollis-Jefferson | 26 | 10 | 4 | 0 | 5-7 | 71% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 2 | 0 | 4 | 1 | N/A | Brooklyn |\n| Thaddeus Young | 28 | 9 | 7 | 0 | 4-11 | 36% | 1-2 | 50% | 0-3 | 0% | 0 | 1 | 0 | 2 | 5 | 2 | F | Brooklyn |\n| Shane Larkin | 16 | 7 | 0 | 4 | 3-5 | 60% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 1 | 0 | 0 | 0 | N/A | Brooklyn |\n| Bojan Bogdanovic | 20 | 6 | 4 | 0 | 3-6 | 50% | 0-2 | 0% | 0-2 | 0% | 0 | 2 | 0 | 0 | 4 | 1 | N/A | Brooklyn |\n| Andrea Bargnani | 16 | 5 | 1 | 0 | 2-4 | 50% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Brooklyn |\n| Wayne Ellington | 18 | 3 | 1 | 0 | 1-6 | 17% | 1-4 | 25% | 0-0 | 0% | 2 | 0 | 0 | 0 | 1 | 2 | G | Brooklyn |\n| Joe Johnson | 25 | 2 | 2 | 1 | 1-7 | 14% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 5 | F | Brooklyn |\n| Thomas Robinson | 15 | 2 | 4 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 2 | 0 | 4 | 1 | N/A | Brooklyn |\n| Sergey Karasev | 2 | 2 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Brooklyn |\n| Donald Sloan | 5 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 0 | 0 | N/A | Brooklyn |\n| Markel Brown | 8 | 0 | 0 | 1 | 0-4 | 0% | 0-3 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 2 | N/A | Brooklyn |" + }, + { + "from": "human", + "value": "Please perform the following task:\nExamine the provided table image to identify all cells that are merged. Report back the merged cell areas using the JSON {'top-left':(x, y), 'bottom-right':(z, w)}, where '(x, y)' represents the top-left and '(z, w)' the bottom-right cell's (row_id, column_id) in each merged region. Note that both row and column IDs begin at 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "Based on the shown data statistics of an NBA game on 10/30/2015, give me a detailed summary for this game." + }, + { + "from": "gpt", + "value": "The San Antonio Spurs (1-1) used a big third-quarter run to turn Friday’s game against the Brooklyn Nets (0-2) into a laugher, claiming a 105-78 victory over the visitors. San Antonio trailed by five after an uninspired first half, but the team came out of the break with some fire. Tony Parker was instrumental in turning the game into a runaway, scoring the first eight points of the third quarter to spark a 28-11 run that flipped a five-point deficit into a 12-point lead heading into the fourth. The Spurs would continue their dominance over the final 12 minutes to easily dispatch the Nets, relying on a rather balanced scoring attack to accomplish that feat. All five starters had between eight and 16 points, while coach Gregg Popovich used eight bench players, who combined for an impressive 43 points. What began as an encouraging start for the Nets resulted in a second consecutive 15-point loss, putting the team in an early hole to begin the season. Brook Lopez led the team with 17 points on a respectable 6-for-11 from the field, but his inability to make an impact on the glass (three rebounds) was true for the rest of his teammates. The Spurs outrebounded the Nets by a 56-32 count. On a more fortunate note for Brooklyn, starting point guard Jarrett Jack was able to return to the court after missing the season opener with a hamstring injury. He turned in a solid showing, scoring 12 points to go along with seven assists and six rebounds over 27 minutes. The Nets will continue their road trip with a visit to Memphis on Saturday, while the Spurs will get a day off before squaring off with the Celtics in Boston on Sunday." + } + ] + }, + { + "id": "table_instructV_multi_round_15022", + "image": "table_instructV/images/TabFact_2-18619114-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| year | competition | venue | position | notes |\n| --- | --- | --- | --- | --- |\n| 2005 | world youth championships | marrakesh , morocco | 25th | 39.34 m |\n| 2006 | world junior championships | beijing , china | 6th | 56.38 m |\n| 2007 | european junior championships | hengelo , netherlands | 2nd | 57.01 m |\n| 2008 | olympic games | beijing , china | 11th | 53.38 m |\n| 2010 | european championships | barcelona , spain | 13th | 56.11 m |" + }, + { + "from": "human", + "value": "Give you a table titled 'sinta ozoliņa - kovala' and a sentence which is 'the average year of the olympic games was 2008 its venue being barcelona', select the correct relation between the table and the sentence based on the table information. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\n\n(A) upholds (the sentence is true)\n(B) disproves (the sentence is false)" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it disproves the sentence. Hence, the answer is {\"answer\": \"disproves\"}." + }, + { + "from": "human", + "value": "Based on the table titled 'sinta ozoliņa - kovala' and the subsequent claim, determine if the claim is supported or disputed by the table. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nclaim: the finish position in 2010 was the 13th" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the claim is valid. Hence, the answer is {\"answer\": \"supported\"}." + }, + { + "from": "human", + "value": "Determine the relationship between the table and the statement, classify it as upheld or challenged. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nTable title: sinta ozoliņa - kovala\nstatement: in 2010 the finish position was 11th" + }, + { + "from": "gpt", + "value": "Based on the table information, the statement is not true. Thus, the answer is {\"answer\": \"challenged\"}." + }, + { + "from": "human", + "value": "Examine whether the table affirms or disproves the subsequent sentence. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\ntable title: 'sinta ozoliņa - kovala'\nsentence: the year of the olympic games was 2008" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it affirms the sentence. So, the answer is {\"answer\": \"affirms\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_15041", + "image": "table_instructV/images/ToTTo_train_table_10775.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| THOI Lakatamia | 1 – 0 | ENAD Polis Chrysochous |\n| --- | --- | --- |\n| Maris 61' | (Report) | |" + }, + { + "from": "human", + "value": "Here's a Wikipedia table under the title '2012–13 Cypriot Cup for lower divisions', with a section titled 'Final' \nBased on the table information, construct a one-sentence summary of the highlighted cells." + }, + { + "from": "gpt", + "value": "THOI Lakatamia won the 2012–13 Cypriot Cup for lower divisions after beating ENAD Polis Chrysochous by 1–0 in the final." + } + ] + }, + { + "id": "table_instructV_multi_round_15106", + "image": "table_instructV/images/TABMWP_18036.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 4 | 7 |\n| 5 | 8 |\n| 6 | 15 |" + }, + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the latex format." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|}\n\\hline\n x & y \\\\\n\\hline\n 4 & 7 \\\\\n\\hline\n 5 & 8 \\\\\n\\hline\n 6 & 15 \\\\\n\\hline\n\\end{tabular}" + }, + { + "from": "human", + "value": "Solve this math word problem based on the given table image. Present the final answer in a JSON format, outlined as {\"answer\": \"\"}.\nThe table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear" + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{8 - 7}{5 - 4}\n = \\frac{1}{1}\n = 1\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the first row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{15 - 7}{6 - 4}\n = \\frac{8}{2}\n = 4\nThe rate of change is not the same for each pair of points. So, the function does not have a constant rate of change.\nThe function is nonlinear.\n\nTherefore, the final answer is {\"answer\": \"nonlinear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_15248", + "image": "table_instructV/images/TABMWP_12799.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 19 | 13 |\n| 15 | 12 |\n| 10 | 18 |" + }, + { + "from": "human", + "value": "Solve this math problem in a stepwise manner. In the end, output your final answer using the JSON format: {\"answer\": \"\"}.\n\nLook at this table. Is this relation a function? (A) yes (B) no" + }, + { + "from": "gpt", + "value": "Look at the x-values in the table.\n\nEach of the x-values is paired with only one y-value, so the relation is a function.\n\nSo, the answer is {\"answer\": \"yes\"}." + }, + { + "from": "human", + "value": "row 4\nrow 1\ncolumn 1\nrow 3\ncolumn 2\nrow 2\nExtract the contents of cells in the above rows or columns, identified by row or column indices. Represent the cells in a row or a column with the JSON format {\"row_id/column_id\":\"\", \"cell_list\":\"\"}. For instance, {\"row_id\":\"5\", \"cell_list\": [\"13\", \"england\", \"2023-1201\"]}." + }, + { + "from": "gpt", + "value": "The extracted row or column contents are listed below.\nFor row 4: {\"row_id\": \"4\", \"cell_list\": ['10', '18']}\nFor row 1: {\"row_id\": \"1\", \"cell_list\": ['x', 'y']}\nFor column 1: {\"column_id\": \"1\", \"cell_list\": ['x', '19', '15', '10']}\nFor row 3: {\"row_id\": \"3\", \"cell_list\": ['15', '12']}\nFor column 2: {\"column_id\": \"2\", \"cell_list\": ['y', '13', '12', '18']}\nFor row 2: {\"row_id\": \"2\", \"cell_list\": ['19', '13']}" + } + ] + }, + { + "id": "table_instructV_multi_round_15355", + "image": "table_instructV/images/TabFact_1-21313498-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| no in series | no in season | title | directed by | written by | original air date | production code | us viewers (millions) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 157 | 1 | still charmed & kicking | james l conway | brad kern | september 25 , 2005 | 62015 - 08 - 157 | 4.2 |\n| 158 | 2 | malice in wonderland | mel damski | brad kern | october 2 , 2005 | 62015 - 08 - 158 | 3.8 |\n| 159 | 3 | run piper , run | derek johansen | cameron litvack | october 9 , 2005 | 62015 - 08 - 159 | 4.1 |\n| 160 | 4 | desperate housewitches | jon paré | jeannine renshaw | october 16 , 2005 | 62015 - 08 - 160 | 4.2 |\n| 161 | 5 | rewitched | john kretchmer | rob wright | october 23 , 2005 | 62015 - 08 - 161 | 4.2 |\n| 162 | 6 | kill billie vol 1 | michael grossman | elizabeth hunter | october 30 , 2005 | 62015 - 08 - 162 | 4.3 |\n| 163 | 7 | the lost picture show | jonathan west | doug e jones & andy reaser | november 6 , 2005 | 62015 - 08 - 163 | 3.8 |\n| 164 | 8 | battle of the hexes | levar burton | jeannine renshaw | november 13 , 2005 | 62015 - 08 - 164 | 4.3 |\n| 165 | 9 | hulkus pocus | joel f feigenbaum | liz sagal | november 20 , 2005 | 62015 - 08 - 165 | 4.2 |\n| 166 | 10 | vaya con leos | janice cooke leonard | cameron litvack | november 27 , 2005 | 62015 - 08 - 166 | 4.3 |\n| 167 | 11 | mr and mrs witch | james l conway | rob wright | january 8 , 2006 | 62015 - 08 - 167 | 3.3 |\n| 168 | 12 | payback 's a witch | mel damski | brad kern | january 15 , 2006 | 62015 - 08 - 168 | 3.4 |\n| 169 | 13 | repo manor | derek johansen | doug e jones | january 22 , 2006 | 62015 - 08 - 168 | 3.6 |\n| 170 | 14 | 12 angry zen | jon paré | cameron litvack | february 12 , 2006 | 62015 - 08 - 170 | 3.2 |\n| 171 | 15 | the last temptation of christy | john kretchmer | liz sagal & rick muirragui | february 19 , 2006 | 62015 - 08 - 171 | 3.8 |\n| 172 | 16 | engaged and confused | stuart gillard | jeannine renshaw | february 26 , 2006 | 62015 - 08 - 172 | 4.0 |\n| 173 | 17 | generation hex | michael grossman | rob wright | april 16 , 2006 | 62015 - 08 - 173 | 2.9 |\n| 174 | 18 | the torn identity | levar burton | andy reaser | april 23 , 2006 | 62015 - 08 - 174 | 3.3 |\n| 175 | 19 | the jung and the restless | derek johansen | cameron litvack | april 30 , 2006 | 62015 - 08 - 175 | 3.1 |\n| 176 | 20 | gone with the witches | jonathan west | jeannine renshaw | may 7 , 2006 | 62015 - 08 - 176 | 3.3 |\n| 177 | 21 | kill billie vol 2 | jon paré | brad kern | may 14 , 2006 | 62015 - 08 - 177 | 3.7 |" + }, + { + "from": "human", + "value": "Analyze the table picture about 'charmed (season 8)' and classify whether the next sentence is affirmed or disproved by the table. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\n\nrob wright wrote three (3) episodes" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the sentence is valid. Hence, the answer is {\"answer\": \"affirmed\"}." + }, + { + "from": "human", + "value": "Examine the table with the given title 'charmed (season 8)' and judge whether the sentence is supported or disproved based on the table's content. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nfive of the episodes have the word witch in their title , either alone or as part of another word" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the sentence is true. So, the answer is {\"answer\": \"supported\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_15386", + "image": "table_instructV/images/ToTTo_train_table_28842.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| | Embarked at Portsmouth | Landed at Sydney Cove |\n| --- | --- | --- |\n| Officials and passengers | 15 | 14 |\n| Ships' crews | 323 | 306 |\n| Marines | 247 | 245 |\n| Marines' wives and children | 46 | 45 + 9 born |\n| Convicts (men) | 582 | 543 |\n| Convicts (women) | 193 | 189 |\n| Convicts' children | 14 | 11 + 11 born |\n| Total | 1,420 | 1,373 |" + }, + { + "from": "human", + "value": "Generate a one-sentence summary about the highlighted table cells based on the following Wikipedia table and its metadata. \nTable title: First Fleet\nSection title: People\n" + }, + { + "from": "gpt", + "value": "A total of 1,420 people have been identified as embarking on the First Fleet, and 1,373 have landed at Sydney Cove." + }, + { + "from": "human", + "value": "This image shows a table. Tell me the row number and column number of this table. Format your final answer as a JSON, using the structure {\"row_number\": \"m\", \"column_number\": \"n\"}." + }, + { + "from": "gpt", + "value": "This table has 9 rows and 3 columns. Thus, the final answer is {\"row_number\": \"9\", \"column_number\": \"3\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_15494", + "image": "table_instructV/images/TABMWP_16915.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $525 | 20,900 | 12,600 |\n| $555 | 18,900 | 13,400 |\n| $585 | 16,900 | 14,200 |\n| $615 | 14,900 | 15,000 |\n| $645 | 12,900 | 15,800 |" + }, + { + "from": "human", + "value": "Problem: \nLook at the table. Then answer the question. At a price of $525, is there a shortage or a surplus? (A) shortage (B) surplus\n\nAnswer the above problem related to the table. Conclude your response with a final answer in the JSON format {\"answer\": \"\"}.\nSolution:" + }, + { + "from": "gpt", + "value": "At the price of $525, the quantity demanded is greater than the quantity supplied. There is not enough of the good or service for sale at that price. So, there is a shortage.\n\n\nTherefore, the final answer is {\"answer\": \"shortage\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_15518", + "image": "table_instructV/images/TabFact_1-10413597-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| no in series | no in season | title | setting | directed by | written by | original air date |\n| --- | --- | --- | --- | --- | --- | --- |\n| 21 | 1 | civil unrest | 30th may 1536 | ciaran donnelly | michael hirst | april 5 , 2009 |\n| 22 | 2 | the northern uprising | winter 1536 | ciaran donnelly | michael hirst | april 12 , 2009 |\n| 23 | 3 | dissension and punishment | 1536 - 1537 | ciaran donnelly | michael hirst | april 19 , 2009 |\n| 24 | 4 | the death of a queen | july - october 1537 | ciaran donnelly | michael hirst | april 26 , 2009 |\n| 25 | 5 | problems in the reformation | 1537 - 1538 | jeremy podeswa | michael hirst | may 3 , 2009 |\n| 26 | 6 | search for a new queen | 1538 - 1539 | jeremy podeswa | michael hirst | may 10 , 2009 |\n| 27 | 7 | protestant anne of cleves | 1539 - 1540 | jeremy podeswa | michael hirst | may 17 , 2009 |" + }, + { + "from": "human", + "value": "In this task, you are given a table with its title 'list of the tudors episodes', your goal is to distinguish whether this table entails or contradicts the statement. Output the final answer as JSON in the format {\"answer\": \"\"}.\nthe northern uprising was the second episode of the season" + }, + { + "from": "gpt", + "value": "Based on the table, the statement holds true. Thus, the final answer is {\"answer\": \"entails\"}." + }, + { + "from": "human", + "value": "Examine the table in the provided image and generate an HTML text representation of the table." + }, + { + "from": "gpt", + "value": "\n\n\n\n\n\n\n\n\n
no in series no in season title setting directed by written by original air date
21 1 civil unrest 30th may 1536 ciaran donnelly michael hirst april 5 , 2009
22 2 the northern uprising winter 1536 ciaran donnelly michael hirst april 12 , 2009
23 3 dissension and punishment 1536 - 1537 ciaran donnelly michael hirst april 19 , 2009
24 4 the death of a queen july - october 1537 ciaran donnelly michael hirst april 26 , 2009
25 5 problems in the reformation 1537 - 1538 jeremy podeswa michael hirst may 3 , 2009
26 6 search for a new queen 1538 - 1539 jeremy podeswa michael hirst may 10 , 2009
27 7 protestant anne of cleves 1539 - 1540 jeremy podeswa michael hirst may 17 , 2009
" + }, + { + "from": "human", + "value": "Based on the table image about 'list of the tudors episodes' and the subsequent hypothesis, determine if the table affirms or disputes the subsequent hypothesis. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nhypothesis: the northern uprising was directed by jeremy podeswa , as the third episode in the season" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the hypothesis is false. Consequently, the answer is {\"answer\": \"disputes\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_15540", + "image": "table_instructV/images/TabFact_1-2326823-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| model | engine | displacement | max power output | peak torque | 0 - 100 km / h , s 0 - 62 mph , s | top speed | co 2 emissions | years | note | engine code |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1.8 ts | i4 | cc (cuin) | 106 kw (144 ps) at 6500 rpm | at 3500 rpm | 9.2 | n /a | 210 g / km | 05 / 1998 - 08 / 2000 | euro2 | ar 32201 |\n| 2.0 ts | i4 | cc (cuin) | 110 kw (150 ps) at 6200 rpm | at 4000 rpm | 8.4 | n /a | 225 g / km | 1995 - 05 / 1998 | euro1 | ar 16201 |\n| 2.0 ts | i4 | cc (cuin) | 114 kw (155 ps) at 6400 rpm | at 3500 rpm | 8.4 | n /a | 220 g / km | 05 / 1998 - 08 / 2000 | euro2 | ar 32301 |\n| 2.0 ts | i4 | cc (cuin) | 110 kw (150 ps) at 6300 rpm | at 3800 rpm | 8.5 | n /a | 220 g / km | 08 / 2000 - 2006 | euro3 | ar 32310 |\n| 2.0 jts | i4 | cc (cuin) | 121 kw (165 ps) at 6400 rpm | at 3250 rpm | 8.4 | n /a | 220 g / km | 04 / 2003 - 2006 | euro 4 | 937a1000 |\n| 3.0 v6 12v | v6 | cc (cuin) | 141 kw (192 ps) at 5600 rpm | at 4400 rpm | 7.3 | n /a | 265 g / km | 1995 - 08 / 2000 | spider euro1 / e2 | ar 16101 |\n| 3.0 v6 24v | v6 | cc (cuin) | 165 kw (225 ps) at 6300 rpm | at 5000 rpm | 6.7 | n /a | 278 g / km | 1997 - 05 / 1998 | gtv euro1 | ar 16102 |\n| 3.0 v6 24v | v6 | cc (cuin) | 162 kw (220 ps) at 6300 rpm | at 5000 rpm | 6.7 | n /a | 278 g / km | 05 / 1998 - 08 / 2000 | gtv euro2 | ar 16102 |\n| 3.0 v6 24v | v6 | cc (cuin) | 160 kw (218 ps) at 6300 rpm | at 5000 rpm | 6.8 | n /a | 278 g / km | 08 / 2000 - 04 / 2003 | euro3 | ar 16105 |" + }, + { + "from": "human", + "value": "Analyze this table picture about 'alfa romeo gtv and spider' and classify whether the given table substantiates or opposes the sentence. Show your final answer in the JSON format {\"answer\": \"\"}.\n\nthe highest power output level for models that go from 0 - 62 mph in 85 seconds is 110 kw (150 ps) at 6300 rpm" + }, + { + "from": "gpt", + "value": "Based on the table, the sentence holds true. Thus, the final answer is {\"answer\": \"substantiates\"}." + }, + { + "from": "human", + "value": "In this task, you are given a table with its title 'alfa romeo gtv and spider', your goal is to distinguish whether this table affirms or refutes the hypothesis. Output the final answer as JSON in the format {\"answer\": \"\"}.\nthere is one model with a maximum power output of 162 kw (220 ps) at 6300 rpm" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the hypothesis. Consequently, the answer is {\"answer\": \"affirms\"}." + }, + { + "from": "human", + "value": "Based on the table titled 'alfa romeo gtv and spider' and the subsequent claim, determine if the claim is substantiated or challenged by the table. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nclaim: 1.8 ts isn't the model with that can accelerate from 0 - 62 mph in 9.2 seconds" + }, + { + "from": "gpt", + "value": "Based on the table information, the claim is not true. Thus, the answer is {\"answer\": \"challenged\"}." + }, + { + "from": "human", + "value": "In this task, you are given a table with its title 'alfa romeo gtv and spider', your goal is to distinguish whether this table entails or opposes the sentence. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nthere are two models that have the exact max power output of 106 kw (144 ps) at 6500 rpm that have a v6 engine" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table opposes the validity of the sentence. Therefore, the final answer: {\"answer\": \"opposes\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_15570", + "image": "table_instructV/images/ToTTo_train_table_21490.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 1980 | The Chisholms | Gideon Chisholm | Main role, 9 episodes (note: replaced Brian Kerwin from the preceding miniseries) |\n| 1981 | The Incredible Hulk | Joe Dunning | Episode: \"The Phenom\" |\n| 1982 | M*A*S*H | Pvt. Thomas Anthony McKegney | Episode: \"Blood and Guts\" |\n| 1983 | The Thorn Birds | Bob Cleary | Television miniseries |\n| 1984 | Eureka Stockade | Charles Ross | Television miniseries |\n| 1984 | Single Bars, Single Women | Duane | Television film |\n| 1985 | V: The Series | Robert | Episode: \"The Littlest Dragon\" |\n| 1985 | Midas Valley | Brad Turner | Television film |\n| 1986 | Samaritan: The Mitch Snyder Story | Billy | Television film |\n| 1986–88 | Falcon Crest | Dan Fixx | Main role (seasons 6–8), 53 episodes |\n| 1987 | I'll Take Manhattan | Dennis Brady | Television miniseries |\n| 1988 | Dead Solid Perfect | Donny Smithern | HBO television film |\n| 1989 | Freddy's Nightmares | Carl | Episode: \"Cabin Fever\" |\n| 1989 | Alfred Hitchcock Presents | Cooper | Episode: \"Night Creatures\" |\n| 1989 | Tales from the Crypt | Ronnie Price | Episode: \"Only Sin Deep\" |\n| 1989–90 | The Young Riders | Sam Cain | Main role (season 1), 24 episodes |\n| 1990 | The Image | Malcolm Dundee | HBO television film |\n| 1991 | The Sitter | Jeff Harper | Television film |\n| 1991 | ...And Then She Was Gone | Peter Harmon | Television film |\n| 1992 | Another Round | Roy | Television film |\n| 1992 | Grapevine | Ken | Episode: \"The Allison and Ken Story\" |\n| 1993 | Complex of Fear | Ed Wylie | Television film |\n| 1993 | Mother of the Bride | Dennis Becker | Television film |\n| 1994 | A Kiss Goodnight | Carl Jasper | Television film |\n| 1994 | Keys | Police Chief Sam Wasser | Television film |\n| 1994 | Diagnosis: Murder | Tim Rutland | Episode: \"The Restless Remains\" |\n| 1994 | Matlock | Kevin Gilliam | Episode: \"The Temptation\" |\n| 1994 | Gambler V: Playing for Keeps | Sundance Kid | Television film |\n| 1994 | Family Album | George Waterson (uncredited) | Television miniseries |\n| 1994 | Star Trek: Deep Space Nine | Deral | Episode: \"Meridian\" |\n| 1995 | The Omen | Jack | Failed TV pilot |\n| 1996 | Shattered Mind | Sean | Television film |\n| 1997 | Orleans | Clade Charbonnet | Main role, 8 episodes |\n| 1997 | Something Borrowed, Something Blue | Pete | Television film |\n| 1997 | Suddenly Susan | Adam | 3 episodes |\n| 1997 | Arli$$ | Ryan Mason III | Episode: \"Kirby Carlisle, Trouble-Shooter\" |\n| 1997 | Perfect Body | Coach David Blair | Television film |\n| 1997 | Ally McBeal | Professor James Dawson | Episode: \"The Affair\" |\n| 1997 | The Hired Heart | Bryan | Television film |\n| 1998 | From the Earth to the Moon | Dave Scott | Television miniseries, 3 episodes |\n| 1998 | The Outer Limits | Dr. James Martin | Episode: \"Final Exam\" |\n| 1998 | The Simple Life | Luke Barton | Main role, 7 episodes |\n| 1998 | Legacy | Ned Logan | Main role, 18 episodes |\n| 2000 | The Expendables | Deacon | USA Network television film |\n| 2001 | Walker, Texas Ranger | Pete Drayton | Episode: \"Justice for All\" |\n| 2001 | Once and Again | Robert 'Bob' Dimanjik | Episodes: \"Armageddon\", \"Won't Someone Please Help George Bailey Tonight\" |\n| 2001 | On Golden Pond | Charlie Martin | CBS television film |\n| 2001 | Family Law | Dan Fortano | Episode: \"Irreparable Harm\" |\n| 2002 | Without a Trace | Greg Pritchard/Peter Raymond | Episode: \"Midnight Sun\" |\n| 2002 | Nancy Drew | Carson Drew | ABC television film |\n| 2003 | Cold Case | Rob Deamer (2003) | Episode: \"Gleen\" |\n| 2004 | Pixel Perfect | Xander | Disney Channel Original Movie |\n| 2004 | Deceit | Sam Penny | Lifetime television film |\n| 2004 | NTSB: The Crash of Flight 323 | Hub Weber | ABC television film |\n| 2004 | Life on Liberty Street | Dr. Jake Mitchell | Television film |\n| 2004 | Suburban Madness | David Harris | CBS television film |\n| 2004 | The Mountain | John 'Whit' Whitman | Recurring role, 4 episodes |\n| 2004–05 | Desperate Housewives | Detective Burnett | Episodes: \"Suspicious Minds\", \"Children Will Listen\" |\n| 2005–06 | The West Wing | Governor Ray Sullivan R-WV | Recurring role, 5 episodes |\n| 2005 | Monk | James Duffy | Episode: \"Mr. Monk and Little Monk\" |\n| 2005 | CSI: Miami | Michael Boland | Episode: \"48 Hours to Life\" |\n| 2005–08 | Lost | Goodwin Stanhope | Recurring role, 5 episodes |\n| 2006 | Faceless | John Robson | FOX television film |\n| 2006 | Pepper Dennis | Jack | Recurring role, 5 episodes |\n| 2006 | NCIS | Captain Todd Gelfand | Episodes: \"Hiatus: Part 1\", \"Hiatus: Part 2\" |\n| 2006 | Ghost Whisperer | Jack Applewhite | |\n| 2006–07 | Ugly Betty | Ted LeBeau | 3 episodes |\n| 2007 | Friday Night Lights | Walt Riggins | 4 episodes |\n| 2007 | Burn Notice | Lawrence Henderson | Episode: \"Wanted Man\" |\n| 2007 | Private Practice | Allan | Episode: \"In Which Addison Finds a Showerhead\" |\n| 2008 | The Mentalist | Dane Kurtik | Episode: \"Red Tide\" |\n| 2009–12 | Make It or Break It | Mark Keeler | Recurring role, 18 episodes |\n| 2009 | Damages | Wayne Sutry | Recurring role, 6 episodes |\n| 2009 | Three Rivers | Carson | Episode: \"Ryan's First Day\" |\n| 2010 | The Gates | Frank Buckley | Recurring role, 6 episodes |\n| 2010 | Lone Star | Cooper Thomas | Episode: \"Reverse\" |\n| 2010 | 90210 | Mr. Sullivan | Episode: \"Holiday Madness\" |\n| 2011 | Hallelujah | Sheriff Bob Clement | Television film |\n| 2011 | Castle | Christian Dahl | Episode: \"Poof, You're Dead\" |\n| 2011 | Body of Proof | Captain Perkins | Episode: \"Shades of Blue\" |\n| 2011–16 | Person of Interest | Nathan Ingram | Recurring role, 9 episodes |\n| 2012 | White Collar | Agent Patterson | Episodes: \"Diminishing Returns\", \"Parting Shots\" |\n| 2013–15 | Devious Maids | Michael Stappord | Series regular (seasons 1 & 3), 18 episodes |\n| 2014 | Revenge | Jimmy Brennan | Episodes: \"Hatred\", \"Payback\" |\n| 2014 | Criminal Minds | Preacher Justin Mills | Episodes: \"Angels\", \"Demons\" |\n| 2014–15 | Under the Dome | Don Barbara | Recurring role, 6 episodes |\n| 2015 | Point of Honor | Ralston Rhodes | Amazon.com television film |\n| 2015 | Stalker | Mayor Hayes | Episode: \"Secrets and Lies\" |\n| 2015 | CSI: Crime Scene Investigation | John Nolan | Episode: \"Under My Skin\" |\n| 2016–2017 | Narcos | Ambassador Arthur Crosby | Recurring Role, 15 episodes |\n| 2019 | True Detective | Greg Larson | Recurring Role, 3 episodes |" + }, + { + "from": "human", + "value": "Give you a Wikipedia table titled 'Brett Cullen'. Its section title is 'Television'. \nBased on the table and above metadata, generate a one-sentence description about highlighted table cells." + }, + { + "from": "gpt", + "value": "In 1980, Brett Cullen appeared as Gideon Chisholm in the nine episodes of the miniseries \"The Chisholms\"." + } + ] + }, + { + "id": "table_instructV_multi_round_15743", + "image": "table_instructV/images/TABMWP_28093.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Dog | Weight change (oz.) |\n| --- | --- |\n| Sprinkles | 5 |\n| Champ | -6 |" + }, + { + "from": "human", + "value": "Please read the table in this image and return an HTML-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "\n\n\n\n
Dog Weight change (oz.)
Sprinkles 5
Champ -6
" + }, + { + "from": "human", + "value": "Starting with the provided table, detail your process in solving this problem. At the end of your output, present the final answer as JSON in the format {\"answer\": \"\"}. \nMatt has two dogs, Sprinkles and Champ. He is concerned because Sprinkles keeps eating Champ's food. Matt asks their vet how much each dog's weight has changed since their last visit. Which dog's weight has changed the most? (A) Sprinkles (B) Champ" + }, + { + "from": "gpt", + "value": "To find which dog's weight changed the most, use absolute value. Absolute value tells you how much each dog's weight has changed.\nSprinkles: |5| = 5\nChamp: |-6| = 6\nChamp's weight has changed the most. He has lost 6 ounces.\n\nThus, the final answer is {\"answer\": \"Champ\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_15758", + "image": "table_instructV/images/TABMWP_20374.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 2 | 1 |\n| 3 | 9 |\n| 4 | 16 |" + }, + { + "from": "human", + "value": "Watch the table in this image and convert it into a Latex table in the text form." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|}\n\\hline\n x & y \\\\\n\\hline\n 2 & 1 \\\\\n\\hline\n 3 & 9 \\\\\n\\hline\n 4 & 16 \\\\\n\\hline\n\\end{tabular}" + }, + { + "from": "human", + "value": "Question: The table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear\nSolve the above question based on the table. Present the final answer in a JSON format, outlined as {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{9 - 1}{3 - 2}\n = \\frac{8}{1}\n = 8\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the first row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{16 - 1}{4 - 2}\n = \\frac{15}{2}\n = 7\\frac{1}{2}\nThe rate of change is not the same for each pair of points. So, the function does not have a constant rate of change.\nThe function is nonlinear.\n\nThus, the final answer is {\"answer\": \"nonlinear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_15825", + "image": "table_instructV/images/TabFact_2-15099176-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| year | class | team | points | wins |\n| --- | --- | --- | --- | --- |\n| 1952 | 250cc | nsu | 2 | 0 |\n| 1954 | 125cc | mv agusta | 6 | 0 |\n| 1954 | 250cc | moto guzzi | 5 | 0 |\n| 1955 | 350cc | moto guzzi | 7 | 0 |\n| 1956 | 125cc | mv agusta | 0 | 0 |\n| 1956 | 250cc | mv agusta | 9 | 0 |\n| 1956 | 350cc | mv agusta | 4 | 0 |\n| 1957 | 125cc | mv agusta | 11 | 0 |\n| 1957 | 250cc | mv agusta | 10 | 0 |" + }, + { + "from": "human", + "value": "Examine whether the table substantiates or refutes the subsequent claim. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\ntable title: 'roberto colombo (motorcyclist)'\nclaim: roberto colombo was on two same teams in 1954" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it refutes the claim. Hence, the answer is {\"answer\": \"refutes\"}." + }, + { + "from": "human", + "value": "Give you a table picture about 'roberto colombo (motorcyclist)', determine whether the following claim is affirmed or disproved by the table's content. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\n\nroberto colombo was on two different teams in 1954" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the claim. Hence, the answer is {\"answer\": \"affirmed\"}." + }, + { + "from": "human", + "value": "Table title: roberto colombo (motorcyclist)\nhypothesis: roberto colombo had the same 250cc class during 1952 and 1954\nPlease distinguish whether the above hypothesis is upheld or challenged by the table information. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the hypothesis. Hence, the answer is {\"answer\": \"upheld\"}." + }, + { + "from": "human", + "value": "Examine the given table and extract the contents of in the specific rows, denoted by row indices. Output the cell values in a row as JSON in the format {\"row_id\":\"\", \"cell_list\":\"\"}, e.g., {\"row_id\":\"3\", \"cell_list\": [\"123.89\", \"News gathering\", \"selected tools\"]}.\nSpecified rows:\nrow 1,\nrow 7," + }, + { + "from": "gpt", + "value": "The extracted row contents are listed below.\nFor row 1: {\"row_id\": \"1\", \"cell_list\": ['year', 'class', 'team', 'points', 'wins']}\nFor row 7: {\"row_id\": \"7\", \"cell_list\": ['1956', '250cc', 'mv agusta', '9', '0']}" + }, + { + "from": "human", + "value": "According to the information in the given table regarding 'roberto colombo (motorcyclist)', tell me whether the sentence is entailed or disputed by the table. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nroberto colombo scored 13 points during 1952 and 1957" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the sentence is not valid. Hence, the answer is {\"answer\": \"disputed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_16087", + "image": "table_instructV/images/TabFact_2-11208843-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| aircraft | origin | role | registration | number |\n| --- | --- | --- | --- | --- |\n| agusta bell 206 | italy | policing | s5 - hpd s5 - hpe | 2 |\n| agusta bell 212 | italy | policing | s5 - hpb | 1 |\n| agusta bell 412 | italy | policing | s5 - hpa | 1 |\n| agustawestland aw109 | italy | policing | s5 - hpg s5 - hpc | 1 1 |\n| eurocopter ec 135 | european union | policing | s5 - hph | 1 |" + }, + { + "from": "human", + "value": "Watch this table and show a latex-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|}\n\\hline\n aircraft & origin & role & registration & number \\\\\n\\hline\n agusta bell 206 & italy & policing & s5 - hpd s5 - hpe & 2 \\\\\n\\hline\n agusta bell 212 & italy & policing & s5 - hpb & 1 \\\\\n\\hline\n agusta bell 412 & italy & policing & s5 - hpa & 1 \\\\\n\\hline\n agustawestland aw109 & italy & policing & s5 - hpg s5 - hpc & 1 1 \\\\\n\\hline\n eurocopter ec 135 & european union & policing & s5 - hph & 1 \\\\\n\\hline\n\\end{tabular}" + }, + { + "from": "human", + "value": "Give you a table titled 'law enforcement in slovenia' and a sentence which is 'the number of the aircraft agusta bell 206 is 1 1', select the correct relation between the table and the sentence based on the table information. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\n\n(A) upholds (the sentence is true)\n(B) opposes (the sentence is false)" + }, + { + "from": "gpt", + "value": "Based on the table, the sentence can not hold true. Thus, the final answer is {\"answer\": \"opposes\"}." + }, + { + "from": "human", + "value": "Based on the table titled 'law enforcement in slovenia' and the subsequent hypothesis, determine if the hypothesis is upheld or contradicted by the table. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nhypothesis: aircrafts agusta bell 212 , agusta bell 412 and eurocopter ec 135 have a number of 1" + }, + { + "from": "gpt", + "value": "Based on the table information, the hypothesis is true. Thus, the answer is {\"answer\": \"upheld\"}." + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table with its caption 'law enforcement in slovenia', the goal is to distinguish whether the following claim is entailed or challenged by the table. Show your final answer in the JSON format {\"answer\": \"\"}.\nthe aircraft agusta bell 206 is number 2 while agustawestland aw109 is number 1 1" + }, + { + "from": "gpt", + "value": "Based on the table information, the claim is true. Thus, the answer is {\"answer\": \"entailed\"}." + }, + { + "from": "human", + "value": "Search for this cell content: '1 1'\nIn the given table image, please determine if there's a cell matching this content. If so, report its location with the json format {'value': '', 'location': (row_id, column_id)}, with row and column id beginning from (1, 1). Denote the location as 'DOES NOT EXIST' if a cell does not exist in the table." + }, + { + "from": "gpt", + "value": "The target cell position is {'value': '1 1', 'location': (5, 5)}." + }, + { + "from": "human", + "value": "Watch this table and show an HTML-style reconstructed table in text. Only preserve the basic table structure and content." + }, + { + "from": "gpt", + "value": "\n\n\n\n\n\n\n
aircraft origin role registration number
agusta bell 206 italy policing s5 - hpd s5 - hpe 2
agusta bell 212 italy policing s5 - hpb 1
agusta bell 412 italy policing s5 - hpa 1
agustawestland aw109 italy policing s5 - hpg s5 - hpc 1 1
eurocopter ec 135 european union policing s5 - hph 1
" + }, + { + "from": "human", + "value": "Give you a table titled 'law enforcement in slovenia' and a claim which is 'none of the aircrafts have an origin of italy', select the correct relation between the table and the claim based on the table information. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\n\n(A) upholds (the claim is true)\n(B) refutes (the claim is false)" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table refutes the validity of the claim. Therefore, the final answer: {\"answer\": \"refutes\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_16145", + "image": "table_instructV/images/Rotowire_train_table_910.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Spurs | San Antonio | 112 | 14 | 32 | 32 | 34 | 22 | 51 | 7 | 47 | 82 | 25 | 36 | 6 | | | | |\n| Mavericks | Dallas | 83 | 16 | 20 | 20 | 27 | 20 | 45 | 13 | 36 | 76 | 26 | 23 | 19 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| LaMarcus Aldridge | 27 | 23 | 7 | 1 | 9-15 | 60% | 0-0 | 0% | 5-5 | 100% | 0 | 0 | 1 | 1 | 6 | 1 | F | San Antonio |\n| Boris Diaw | 16 | 16 | 3 | 3 | 6-11 | 55% | 2-5 | 40% | 2-2 | 100% | 1 | 1 | 0 | 1 | 2 | 3 | N/A | San Antonio |\n| Kawhi Leonard | 29 | 15 | 4 | 1 | 5-11 | 46% | 1-3 | 33% | 4-6 | 67% | 2 | 1 | 0 | 0 | 4 | 0 | F | San Antonio |\n| Jonathon Simmons | 15 | 14 | 3 | 2 | 5-7 | 71% | 2-2 | 100% | 2-2 | 100% | 1 | 0 | 0 | 0 | 3 | 3 | N/A | San Antonio |\n| David West | 14 | 8 | 5 | 4 | 4-8 | 50% | 0-0 | 0% | 0-1 | 0% | 0 | 1 | 1 | 1 | 4 | 1 | N/A | San Antonio |\n| Kyle Anderson | 12 | 8 | 1 | 1 | 3-3 | 100% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 1 | 3 | N/A | San Antonio |\n| Boban Marjanovic | 9 | 7 | 4 | 1 | 3-6 | 50% | 0-0 | 0% | 1-1 | 100% | 0 | 0 | 0 | 2 | 2 | 0 | N/A | San Antonio |\n| Manu Ginobili | 18 | 7 | 3 | 0 | 3-8 | 38% | 0-3 | 0% | 1-2 | 50% | 1 | 0 | 0 | 1 | 2 | 2 | N/A | San Antonio |\n| Patty Mills | 16 | 6 | 2 | 0 | 2-4 | 50% | 0-2 | 0% | 2-2 | 100% | 0 | 2 | 0 | 0 | 2 | 3 | N/A | San Antonio |\n| Danny Green | 28 | 4 | 7 | 1 | 2-8 | 25% | 0-4 | 0% | 0-1 | 0% | 0 | 0 | 2 | 0 | 7 | 1 | G | San Antonio |\n| Tim Duncan | 21 | 2 | 5 | 1 | 0-4 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 1 | 0 | 5 | 2 | C | San Antonio |\n| Tony Parker | 25 | 2 | 5 | 7 | 0-4 | 0% | 0-0 | 0% | 2-2 | 100% | 2 | 1 | 0 | 0 | 5 | 2 | G | San Antonio |\n| Rasual Butler | 9 | 0 | 2 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | San Antonio |\n| Mavericks | | | | | | | | | | | | | | | | | | |\n| Dwight Powell | 16 | 15 | 2 | 0 | 4-8 | 50% | 2-3 | 67% | 5-5 | 100% | 0 | 1 | 1 | 0 | 2 | 2 | N/A | Dallas |\n| Wesley Matthews | 26 | 12 | 1 | 1 | 5-9 | 56% | 1-4 | 25% | 1-2 | 50% | 0 | 1 | 0 | 0 | 1 | 3 | G | Dallas |\n| Raymond Felton | 20 | 9 | 0 | 3 | 4-9 | 44% | 0-1 | 0% | 1-1 | 100% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Dallas |\n| Deron Williams | 23 | 8 | 5 | 3 | 2-6 | 33% | 0-1 | 0% | 4-4 | 100% | 0 | 2 | 0 | 0 | 5 | 3 | G | Dallas |\n| Devin Harris | 16 | 6 | 1 | 2 | 2-4 | 50% | 2-3 | 67% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Dallas |\n| Chandler Parsons | 28 | 5 | 4 | 1 | 2-7 | 29% | 1-1 | 100% | 0-0 | 0% | 2 | 3 | 0 | 0 | 4 | 1 | F | Dallas |\n| Zaza Pachulia | 21 | 5 | 7 | 1 | 1-7 | 14% | 0-0 | 0% | 3-4 | 75% | 1 | 0 | 0 | 1 | 6 | 4 | C | Dallas |\n| J.J. Barea | 16 | 5 | 0 | 4 | 2-7 | 29% | 0-3 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Dallas |\n| JaVale McGee | 15 | 5 | 10 | 0 | 2-4 | 50% | 0-0 | 0% | 1-1 | 100% | 0 | 2 | 3 | 2 | 8 | 3 | N/A | Dallas |\n| Jeremy Evans | 9 | 5 | 4 | 0 | 2-3 | 67% | 0-1 | 0% | 1-2 | 50% | 1 | 0 | 2 | 2 | 2 | 3 | N/A | Dallas |\n| Dirk Nowitzki | 24 | 4 | 5 | 3 | 2-10 | 20% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 5 | 0 | F | Dallas |\n| Charlie Villanueva | 17 | 4 | 4 | 1 | 1-5 | 20% | 0-3 | 0% | 2-3 | 67% | 0 | 2 | 0 | 0 | 4 | 1 | N/A | Dallas |\n| John Jenkins | 9 | 0 | 2 | 1 | 0-2 | 0% | 0-0 | 0% | 0-1 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Dallas |" + }, + { + "from": "human", + "value": "Analyze the box-score and line-score tables for the NBA game between Spurs and Mavericks on 2016-01-17 and use the statistics to create a detailed summary of this game." + }, + { + "from": "gpt", + "value": "The San Antonio Spurs (36-6) defeated the Dallas Mavericks (23-19) 112-83 on Sunday. San Antonio has been flying slightly under the radar all season due to the remarkable success of the Golden State Warriors in their very same conference. However, the gap between the two teams continues to close, with the Warriors beginning to amass a few losses and the Spurs upping their already impressive level of play even further. With Sunday 's dominating win, San Antonio is now 240 at home, and have a franchise-record 11 victories by a margin of 25 points or greater. They suffocated Dallas over the last three quarters, outscoring them by a margin of 98-67 over that span. Additionally, they held the visitors to a mediocre 36 shooting percentage from the field, and an abysmal 26 percent from beyond the arc. Tellingly, the high score for Dallas on the night was a modest 15 points, and came from a bench player, Dwight Powell. The reserve forward added a pair of rebounds and a block to his stat line. Wesley Matthews paced the starters with 12 points, and supplemented it with a rebound and an assist. Deron Williams produced eight points, five rebounds and three assists. Chandler Parsons and Zaza Pachulia could only contribute a pair of five-point efforts, with the former also hauling in four boards, an assist and a pair of steals, and the latter pitching in with seven rebounds, an assist and a steal. Dirk Nowitzki rounded out a forgettable night for the starting five with his worst performance of the season, a four-point, five-rebound, three-assist effort that featured a 2-for-10 tally from the floor. The Mavericks fell to 23-19 and are currently tied for second place with Memphis in the Western Conference 's Southwest Division. They remain home to face the Boston Celtics on Monday. San Antonio was led by LaMarcus Aldridge 's 23 points, which he complemented with seven rebounds, an assist and a block. Kawhi Leonard was next in line with 15 points, four rebounds, an assist and a pair of steals. With the comfortable lead, the rest of the starters were able to play an abbreviated amount of minutes. However, Tony Parker did n't exit the game by choice, as lingering hip soreness sent him to the bench after 25 minutes on the court. The veteran point guard managed only two points, but did dish out seven assists, five rebounds and two steals during his time on the floor. Boris Diaw paced the Spurs bench with 16 points, three assists, three rebounds and a steal over a highly efficient 16 minutes. Rookie shooting guard Jonathon Simmons was also impressive in a reserve role, tallying 14 points, two rebounds, two assists and a steal over 15 minutes. The Spurs improved to 36-6 and remain atop the Western Conference 's Southwest Division. They are off until Thursday, when they square off against the Suns in Phoenix." + } + ] + }, + { + "id": "table_instructV_multi_round_16299", + "image": "table_instructV/images/TabFact_2-12280396-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| peak | elevation (m) | prominence (m) | isolation (km) | municipality | county |\n| --- | --- | --- | --- | --- | --- |\n| galdhøpiggen | 2469 | 2372 | 1570 | lom | oppland |\n| jiehkkevárri | 1833 | 1741 | 140 | lyngen , tromsø | troms |\n| snøhetta | 2286 | 1675 | 83 | dovre | oppland |\n| store lenangstind | 1625 | 1576 | 47 | lyngen | troms |\n| gjegnen / blånibba | 1670 | 1460 | 47 | bremanger | sogn og fjordane |\n| hamperokken | 1404 | 1396 | 18 | tromsø | troms |\n| skårasalen | 1542 | 1385 | 7 | ørsta | møre og romsdal |\n| oksskolten | 1916 | 1384 | 185 | hemnes | nordland |\n| botnafjellet | 1572 | 1339 | 15 | gloppen | sogn og fjordane |\n| kvitegga | 1717 | 1324 | 23 | stranda , ørsta | møre og romsdal |\n| fresvikbreen | 1660 | 1310 | 17 | vik | sogn og fjordane |\n| smørskredtindane | 1630 | 1306 | 12 | stranda , ørsta | møre og romsdal |\n| njunis | 1717 | 1305 | 53 | målselv | troms |\n| store trolla | 1850 | 1292 | 11 | sunndal | møre og romsdal |\n| langlitinden | 1276 | 1276 | 26 | ibestad | troms |\n| indre russetind | 1527 | 1268 | 9 | balsfjord | troms |\n| møysalen | 1262 | 1262 | 60 | hinnøya | nordland |\n| stortind | 1320 | 1242 | 14 | tromsø | troms |\n| folgefonna | 1660 | 1233 | 29 | kvinnherad , odda | hordaland |\n| daurmål | 1446 | 1230 | 4 | gloppen , jølster | sogn og fjordane |" + }, + { + "from": "human", + "value": "In this task, you are given a table with its title 'list of mountains in norway by prominence', your goal is to distinguish whether this table upholds or disputes the statement. Output the final answer as JSON in the format {\"answer\": \"\"}.\nthe highest isolation is 29 km and is in the municipality of lom" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table disputes the validity of the statement. Therefore, the final answer: {\"answer\": \"disputes\"}." + }, + { + "from": "human", + "value": "Given a table image, can you convert the table into a Latex table in the text form?" + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|c|}\n\\hline\n peak & elevation (m) & prominence (m) & isolation (km) & municipality & county \\\\\n\\hline\n galdhøpiggen & 2469 & 2372 & 1570 & lom & oppland \\\\\n\\hline\n jiehkkevárri & 1833 & 1741 & 140 & lyngen , tromsø & troms \\\\\n\\hline\n snøhetta & 2286 & 1675 & 83 & dovre & oppland \\\\\n\\hline\n store lenangstind & 1625 & 1576 & 47 & lyngen & troms \\\\\n\\hline\n gjegnen / blånibba & 1670 & 1460 & 47 & bremanger & sogn og fjordane \\\\\n\\hline\n hamperokken & 1404 & 1396 & 18 & tromsø & troms \\\\\n\\hline\n skårasalen & 1542 & 1385 & 7 & ørsta & møre og romsdal \\\\\n\\hline\n oksskolten & 1916 & 1384 & 185 & hemnes & nordland \\\\\n\\hline\n botnafjellet & 1572 & 1339 & 15 & gloppen & sogn og fjordane \\\\\n\\hline\n kvitegga & 1717 & 1324 & 23 & stranda , ørsta & møre og romsdal \\\\\n\\hline\n fresvikbreen & 1660 & 1310 & 17 & vik & sogn og fjordane \\\\\n\\hline\n smørskredtindane & 1630 & 1306 & 12 & stranda , ørsta & møre og romsdal \\\\\n\\hline\n njunis & 1717 & 1305 & 53 & målselv & troms \\\\\n\\hline\n store trolla & 1850 & 1292 & 11 & sunndal & møre og romsdal \\\\\n\\hline\n langlitinden & 1276 & 1276 & 26 & ibestad & troms \\\\\n\\hline\n indre russetind & 1527 & 1268 & 9 & balsfjord & troms \\\\\n\\hline\n møysalen & 1262 & 1262 & 60 & hinnøya & nordland \\\\\n\\hline\n stortind & 1320 & 1242 & 14 & tromsø & troms \\\\\n\\hline\n folgefonna & 1660 & 1233 & 29 & kvinnherad , odda & hordaland \\\\\n\\hline\n daurmål & 1446 & 1230 & 4 & gloppen , jølster & sogn og fjordane \\\\\n\\hline\n\\end{tabular}" + }, + { + "from": "human", + "value": "statement: jiehkkevarri peak , located in troms county has an elevation less that 1833 m and an isolation (km) larger than 185 km\nJudge whether the above statement is supported or opposed by the given table named 'list of mountains in norway by prominence'. The final result should be presented in the JSON format of {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "Based on the table information, the statement is not true. Thus, the answer is {\"answer\": \"opposed\"}." + }, + { + "from": "human", + "value": "This is a table named 'list of mountains in norway by prominence', please determine whether the given claim is substantiated or contradicted by the table information. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nthe highest isolation located in the hinnoya municipality is 60 km" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the claim. Hence, the answer is {\"answer\": \"substantiated\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_16306", + "image": "table_instructV/images/TAT-QA_a15caffa-d0dc-452c-91c6-a359773b734f.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | | Quarter Ended | | |\n| --- | --- | --- | --- | --- |\n| | March 31, | June 30, | September 30, | December 31, |\n| | 2019 | 2019 | 2019 | 2019 |\n| Revenue | $50,290 | $49,189 | $52,833 | $60,316 |\n| Gross profit | $38,040 | $37,918 | $40,913 | $46,876 |\n| Net income (loss) | $(12,272) | $(5,771) | $173 | $51 |\n| Net loss per share-basic | $(0.16) | $(0.08) | $— | $— |\n| Net loss per share-diluted | $(0.16) | $(0.08) | $— | $— |\n| | | Quarter | Ended | |\n| | March 31, | June 30, | September 30, | December 31, |\n| | 2018 | 2018 | 2018 | 2018 |\n| Revenue | $49,183 | $60,713 | $60,502 | $61,825 |\n| Gross profit | $37,299 | $47,526 | $47,488 | $48,014 |\n| Net loss | $(19,670) | $(4,532) | $(1,807) | $(1,608) |\n| Net loss per share-basic | $(0.27) | $(0.06) | $(0.02) | $(0.02) |\n| Net loss per share-diluted | $(0.27) | $(0.06) | $(0.02) | $(0.02) |" + }, + { + "from": "human", + "value": "Given the table, answer the following question in detail. Conclude your response with a final answer in the JSON format {\"answer\": []}.\nWhat is the change in gross profit between the second and third quarter of 2018?" + }, + { + "from": "gpt", + "value": "Based on the given table:\n($47526 - $47488)/$47488 = 0.08\nTherefore, the answer is {\"answer\": [\"0.08\"]}." + }, + { + "from": "human", + "value": "What is the revenue earned in the first quarter of 2019?\nAccording to the shown table image, answer the question in brief. Return the final result as JSON in the format {\"answer\": []}." + }, + { + "from": "gpt", + "value": "According to the table, the final answer is {\"answer\": [\"$50,290\"]}." + }, + { + "from": "human", + "value": "What is the revenue earned in the second quarter of 2019?\nGive me a concise answer based on the given table. Present the final answer in a JSON format {\"answer\": []}." + }, + { + "from": "gpt", + "value": "Based on the table information, the answer is {\"answer\": [\"$49,189\"]}." + }, + { + "from": "human", + "value": "Look at this table. Give your well-considered answer to the subsequent question. Return the final result as JSON in the format {\"answer\": []}.\nWhat is the change in revenue between the first and second quarters of 2019?" + }, + { + "from": "gpt", + "value": "Based on the given table:\n($50290 - $49189)/$49189 = 2.24\nTherefore, the answer is {\"answer\": [\"2.24\"]}." + } + ] + }, + { + "id": "table_instructV_multi_round_16470", + "image": "table_instructV/images/TABMWP_23563.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Number of piles | Number of magazines |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | ? |" + }, + { + "from": "human", + "value": "Problem: \nEach pile has 2 magazines. How many magazines are in 4 piles? (Unit: magazines)\n\nAnswer the above problem related to the table. Provide a concluding answer in a JSON structure, using the format {\"answer\": \"\"}.\nSolution:" + }, + { + "from": "gpt", + "value": "Count by twos. Use the chart: there are 8 magazines in 4 piles.\n\nTherefore, the final answer is {\"answer\": \"8\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_16524", + "image": "table_instructV/images/TabFact_2-14311305-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| game | december | opponent | score | record | points |\n| --- | --- | --- | --- | --- | --- |\n| 27 | 4 | chicago black hawks | 7 - 5 | 18 - 5 - 4 | 40 |\n| 28 | 6 | detroit red wings | 2 - 4 | 18 - 6 - 4 | 40 |\n| 29 | 7 | colorado rockies | 4 - 2 | 19 - 6 - 4 | 42 |\n| 30 | 10 | chicago black hawks | 2 - 2 | 19 - 6 - 5 | 43 |\n| 31 | 13 | pittsburgh penguins | 6 - 5 | 20 - 6 - 5 | 45 |\n| 32 | 14 | st louis blues | 5 - 4 | 21 - 6 - 5 | 47 |\n| 33 | 18 | colorado rockies | 2 - 0 | 22 - 6 - 5 | 49 |\n| 34 | 20 | washington capitals | 5 - 2 | 23 - 6 - 5 | 51 |\n| 35 | 21 | washington capitals | 0 - 6 | 23 - 7 - 5 | 51 |\n| 36 | 27 | calgary flames | 1 - 2 | 23 - 8 - 5 | 51 |\n| 37 | 28 | edmonton oilers | 2 - 1 | 24 - 8 - 5 | 53 |\n| 38 | 30 | minnesota north stars | 5 - 6 | 24 - 9 - 5 | 53 |" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table with its caption '1980 - 81 philadelphia flyers season', the goal is to distinguish whether the following sentence is entailed or refuted by the table. Output the final answer as JSON in the format {\"answer\": \"\"}.\nthe st louis blues had a record of 21 - 6 - 5 as of dec 14" + }, + { + "from": "gpt", + "value": "According to the table, the sentence is entailed by the table information. Therefore, the final answer: {\"answer\": \"entailed\"}." + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table with its caption '1980 - 81 philadelphia flyers season', the goal is to distinguish whether the following sentence is entailed or disproved by the table. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nthere were a total of 40 points when chicago played the pittsburgh penquins" + }, + { + "from": "gpt", + "value": "Based on the evidence presented in the table, we can conclude that the sentence is not true. Therefore, the answer is {\"answer\": \"disproved\"}." + }, + { + "from": "human", + "value": "Examine the table with the caption '1980 - 81 philadelphia flyers season', classify whether the provided table upholds or conflicts with the statement. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nstatement: the opponent for the game with 45 points is the pittsburgh penguins" + }, + { + "from": "gpt", + "value": "Based on the table, the statement holds true. Thus, the final answer is {\"answer\": \"upholds\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_16581", + "image": "table_instructV/images/TABMWP_29091.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Employee | Pay period | |\n| --- | --- |\n| Lorena Simon | February 7-13 | |\n| Total earnings | | $353.00 |\n| Federal income tax | $38.65 | |\n| Other taxes | $27.00 | |\n| Total taxes | | ? |\n| Pay after taxes | | ? |" + }, + { + "from": "human", + "value": "Give you a table. Please solve the math problem below, showing each step. In the last of your solution, output the final answer as JSON in the format {\"answer\": \"\"}.\n\nLook at Lorena's pay stub. Lorena lives in a state without state income tax. How much payroll tax did Lorena pay in total? (Unit: $)" + }, + { + "from": "gpt", + "value": "To find the total payroll tax, add the federal income tax and the other taxes.\nThe federal income tax is $38.65. The other taxes are $27.00. Add.\n$38.65 + $27.00 = $65.65\nLorena paid a total of $65.65 in payroll tax.\n\nTherefore, the final answer is {\"answer\": \"65.65\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_16613", + "image": "table_instructV/images/TABMWP_22093.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| | Social worker | Doctor |\n| --- | --- | --- |\n| Fear of snakes | 3 | 3 |\n| Fear of heights | 3 | 2 |" + }, + { + "from": "human", + "value": "Extract the cells' contents in the 1st column in this table. Show the cells in a column in the JSON format {\"column_id\":\"\", \"cell_list\":\"\"}. For example, {\"column_id\":\"6\", \"cell_list\": [\"A\", \"B\", \"C\"]}." + }, + { + "from": "gpt", + "value": "The target cell values of the 1st column: {\"column_id\": \"1\", \"cell_list\": ['', 'Fear of snakes', 'Fear of heights']}" + }, + { + "from": "human", + "value": "According to the table, solve this problem and give detail solutions. Present the final answer in a JSON format, outlined as {\"answer\": \"\"}.\n\nA college professor asked his Psychology students to complete a personality test. He paid special attention to his students' career goals and their greatest fears. What is the probability that a randomly selected student has a fear of snakes and wants to be a social worker? Simplify any fractions." + }, + { + "from": "gpt", + "value": "Let A be the event \"the student has a fear of snakes\" and B be the event \"the student wants to be a social worker\".\nTo find the probability that a student has a fear of snakes and wants to be a social worker, first identify the sample space and the event.\nThe outcomes in the sample space are the different students. Each student is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the student has a fear of snakes and wants to be a social worker\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the student has a fear of snakes and wants to be a social worker\", so look at the table to see how many students have a fear of snakes and want to be a social worker.\nThe number of students who have a fear of snakes and want to be a social worker is 3.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of students.\n3 + 3 + 3 + 2 = 11\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{3}{11}\nThe probability that a student has a fear of snakes and wants to be a social worker is \\frac{3}{11}.\n\nSo, the answer is {\"answer\": \"3/11\"}." + }, + { + "from": "human", + "value": "Examine the given table and locate the cells that contain the following values:\n(1) 'Doctor'\n(2) 'proprietary'\n(3) '2'\n(4) 'A cross-platform file system for wide area networks. It replicates the data for fault tolerance and caches metadata and data to improve performance over high-latency links.'\n(5) 'Fear of snakes'\n(6) 'Social worker'\n(7) 'An extreme performance, NVMe-optimized parallel filesystem that includes Distributed Coding (similar to Erasure Coding), instantaneous snapshots, tiering to S3 datastores, runs in the cloud or on-prem.'\n(8) 'Fear of heights'\n(9) 'WekaIO Matrix'\nReturn the cell locations using the JSON format {'value': '', 'location': (Row_ID, Column_ID)}, where both row and column IDs commence from 1. If a cell does not exist in the table, denote its location as 'DOES NOT EXIST'." + }, + { + "from": "gpt", + "value": "The target cell locations are as follows:\n(1) {'value': 'Doctor', 'location': (1, 3)}\n(2) {'value': 'proprietary', 'location': 'DOES NOT EXIST'}\n(3) {'value': '2', 'location': (3, 3)}\n(4) {'value': 'A cross-platform file system for wide area networks. It replicates the data for fault tolerance and caches metadata and data to improve performance over high-latency links.', 'location': 'DOES NOT EXIST'}\n(5) {'value': 'Fear of snakes', 'location': (2, 1)}\n(6) {'value': 'Social worker', 'location': (1, 2)}\n(7) {'value': 'An extreme performance, NVMe-optimized parallel filesystem that includes Distributed Coding (similar to Erasure Coding), instantaneous snapshots, tiering to S3 datastores, runs in the cloud or on-prem.', 'location': 'DOES NOT EXIST'}\n(8) {'value': 'Fear of heights', 'location': (3, 1)}\n(9) {'value': 'WekaIO Matrix', 'location': 'DOES NOT EXIST'}" + } + ] + }, + { + "id": "table_instructV_multi_round_16631", + "image": "table_instructV/images/TabFact_2-16536958-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| season | series | races | wins | poles | f / laps | podiums | points | position |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2007 | formula first manfeild winter series | 3 | 0 | 0 | 1 | 1 | 170 | 14th |\n| 2007 - 08 | oem supply nz formula first championship | 24 | 4 | 1 | 5 | 18 | 1368 | 3rd |\n| 2008 | formula ford manfeild winter series | 9 | 5 | 1 | 3 | 7 | 610 | 3rd |\n| 2008 | australian formula ford championship | 2 | 0 | 0 | 0 | 0 | 0 | nc |\n| 2008 - 09 | mta formula ford championship | 21 | 11 | 3 | 4 | 15 | 1215 | 1st |\n| 2009 | australian formula ford championship | 16 | 1 | 0 | 2 | 6 | 164 | 6th |\n| 2009 | adac formel masters | 6 | 0 | 1 | 0 | 2 | 52 | 8th |\n| 2009 | toyota racing series - hamilton 400 trophy | 2 | 2 | 2 | 1 | 2 | 150 | 1st |\n| 2010 | adac formel masters | 18 | 12 | 2 | 9 | 17 | 315 | 1st |\n| 2010 | michelin formula renault winter cup | 6 | 1 | 0 | 1 | 3 | 99 | 5th |\n| 2010 | toyota racing series | 6 | 1 | 0 | 2 | 3 | 362 | 10th |\n| 2011 | german formula three championship | 18 | 13 | 10 | 8 | 16 | 181 | 1st |\n| 2011 | gp3 series | 4 | 1 | 0 | 0 | 1 | 7 | 20th |\n| 2012 | formula renault 3.5 series | 5 | 0 | 0 | 0 | 0 | 8 | 22nd |" + }, + { + "from": "human", + "value": "Based on the table titled 'richie stanaway' and the subsequent sentence, determine if the sentence is affirmed or contradicted by the table. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nsentence: there is zero number of poles in mta formula ford championship for position 6th in season 2010 with for points less than 164" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the sentence is false. So, the answer is {\"answer\": \"contradicted\"}." + }, + { + "from": "human", + "value": "statement: the position when points is greater than 8 , and when series is toyota racing series , is 9th\nJudge whether the above statement is entailed or disproved by the given table named 'richie stanaway'. Show your final answer in the JSON format {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the statement is false. So, the answer is {\"answer\": \"disproved\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_16672", + "image": "table_instructV/images/TabFact_2-11963536-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| date | visitor | score | home | leading scorer | attendance | record |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2 november 2007 | trail blazers | w 113 - 93 (ot) | hornets | chris paul (19) | 9817 | 2 - 0 |\n| 4 november 2007 | hornets | w 93 - 88 (ot) | nuggets | david west (17) | 13156 | 3 - 0 |\n| 6 november 2007 | hornets | w 118 - 104 (ot) | lakers | peja stojakovic (36) | 18997 | 4 - 0 |\n| 7 november 2007 | hornets | l 90 - 93 (ot) | trail blazers | david west (34) | 19980 | 4 - 1 |\n| 9 november 2007 | spurs | l 85 - 97 (ot) | hornets | chris paul (18) | 15297 | 4 - 2 |\n| 11 november 2007 | hornets | w 93 - 72 (ot) | 76ers | two - way tie (16) | 10014 | 5 - 2 |\n| 12 november 2007 | hornets | w 84 - 82 (ot) | nets | chris paul (27) | 12832 | 6 - 2 |\n| 14 november 2007 | 76ers | w 95 - 76 (ot) | hornets | morris peterson (27) | 8302 | 7 - 2 |\n| 16 november 2007 | hornets | w 120 - 118 (ot) | grizzlies | david west (40) | 13271 | 8 - 2 |\n| 17 november 2007 | hornets | w 100 - 82 (ot) | timberwolves | peja stojakovic (22) | 15324 | 9 - 2 |\n| 19 november 2007 | magic | l 88 - 95 (ot) | hornets | peja stojakovic (21) | 11741 | 9 - 3 |\n| 21 november 2007 | pacers | l 93 - 105 (ot) | hornets | david west (23) | 11609 | 9 - 4 |\n| 23 november 2007 | hornets | l 71 - 99 (ot) | jazz | david west (18) | 19911 | 9 - 5 |\n| 24 november 2007 | hornets | w 98 - 89 (ot) | clippers | peja stojakovic (22) | 15601 | 10 - 5 |\n| 26 november 2007 | timberwolves | l 94 - 103 (ot) | hornets | chris paul (31) | 8393 | 10 - 6 |\n| 30 november 2007 | hornets | w 92 - 86 (ot) | hawks | david west (22) | 14186 | 11 - 6 |" + }, + { + "from": "human", + "value": "Analyze the table's content, including its title '2007 - 08 new orleans hornets season', and determine whether the table upholds or opposes the given statement. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nstatement: david west was the leading scorer in four games" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the statement is false. Consequently, the answer is {\"answer\": \"opposes\"}." + }, + { + "from": "human", + "value": "This is a table image titled '2007 - 08 new orleans hornets season', help me determine if the table supports or disputes the following claim. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\ndavid west was the lead scorer for 6 games" + }, + { + "from": "gpt", + "value": "Based on the table, the claim holds true. Thus, the final answer is {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "Using the information in the table image about '2007 - 08 new orleans hornets season', determine whether the next claim is confirmed or disproved by the table. The final result should be presented in the JSON format of {\"answer\": \"\"}.\n\nonly two games had an attendance number over 19000" + }, + { + "from": "gpt", + "value": "According to the table, the claim is confirmed by the table information. Therefore, the final answer: {\"answer\": \"confirmed\"}." + }, + { + "from": "human", + "value": "Determine the relationship between the table and the hypothesis, classify it as entailed or disproved. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nTable title: 2007 - 08 new orleans hornets season\nhypothesis: there was never a crowd attendance over 19000 for a game" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the hypothesis is not valid. Hence, the answer is {\"answer\": \"disproved\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_16874", + "image": "table_instructV/images/Rotowire_train_table_2113.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Rockets | Houston | 115 | 36 | 14 | 34 | 31 | 27 | 40 | 7 | 48 | 67 | 34 | 24 | 22 | | | | |\n| Mavericks | Dallas | 104 | 29 | 29 | 27 | 19 | 17 | 36 | 14 | 46 | 77 | 50 | 25 | 21 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Rockets | | | | | | | | | | | | | | | | | | |\n| Trevor Ariza | 39 | 29 | 3 | 2 | 11-15 | 73% | 6-9 | 67% | 1-4 | 25% | 3 | 0 | 0 | 1 | 2 | 2 | F | Houston |\n| James Harden | 36 | 23 | 15 | 10 | 7-18 | 39% | 3-10 | 30% | 6-6 | 100% | 0 | 2 | 2 | 2 | 13 | 1 | G | Houston |\n| Josh Smith | 23 | 16 | 3 | 2 | 6-14 | 43% | 2-6 | 33% | 2-2 | 100% | 2 | 1 | 2 | 1 | 2 | 3 | N/A | Houston |\n| Corey Brewer | 27 | 13 | 1 | 3 | 5-11 | 46% | 0-4 | 0% | 3-3 | 100% | 4 | 0 | 1 | 0 | 1 | 3 | F | Houston |\n| Ty Lawson | 24 | 10 | 2 | 2 | 4-6 | 67% | 1-2 | 50% | 1-1 | 100% | 0 | 1 | 1 | 0 | 2 | 2 | N/A | Houston |\n| Jason Terry | 20 | 8 | 0 | 1 | 3-5 | 60% | 2-4 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Houston |\n| Clint Capela | 24 | 8 | 5 | 2 | 4-7 | 57% | 0-0 | 0% | 0-3 | 0% | 0 | 0 | 0 | 1 | 4 | 4 | C | Houston |\n| Patrick Beverley | 31 | 7 | 9 | 4 | 3-10 | 30% | 1-7 | 14% | 0-0 | 0% | 0 | 1 | 1 | 3 | 6 | 1 | G | Houston |\n| Terrence Jones | 10 | 1 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Houston |\n| Marcus Thornton | 7 | 0 | 2 | 0 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 1 | 3 | N/A | Houston |\n| Dwight Howard | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Donatas Motiejunas | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Sam Dekker | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Mavericks | | | | | | | | | | | | | | | | | | |\n| Chandler Parsons | 36 | 31 | 6 | 3 | 10-15 | 67% | 5-6 | 83% | 6-9 | 67% | 1 | 1 | 1 | 0 | 6 | 2 | F | Dallas |\n| Dirk Nowitzki | 27 | 19 | 3 | 0 | 7-13 | 54% | 4-6 | 67% | 1-1 | 100% | 0 | 1 | 0 | 0 | 3 | 1 | F | Dallas |\n| Raymond Felton | 34 | 16 | 8 | 2 | 6-10 | 60% | 1-3 | 33% | 3-3 | 100% | 1 | 2 | 0 | 1 | 7 | 1 | N/A | Dallas |\n| Wesley Matthews | 34 | 15 | 1 | 1 | 5-11 | 46% | 4-7 | 57% | 1-2 | 50% | 1 | 1 | 0 | 0 | 1 | 3 | G | Dallas |\n| Salah Mejri | 29 | 10 | 11 | 0 | 4-6 | 67% | 0-0 | 0% | 2-2 | 100% | 0 | 3 | 3 | 6 | 5 | 5 | C | Dallas |\n| Dwight Powell | 14 | 6 | 1 | 1 | 2-4 | 50% | 0-0 | 0% | 2-3 | 67% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | Dallas |\n| Deron Williams | 32 | 4 | 1 | 5 | 1-9 | 11% | 0-3 | 0% | 2-2 | 100% | 0 | 3 | 0 | 0 | 1 | 4 | G | Dallas |\n| J.J. Barea | 14 | 3 | 0 | 3 | 1-7 | 14% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Dallas |\n| Devin Harris | 10 | 0 | 3 | 2 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 3 | 1 | N/A | Dallas |\n| Charlie Villanueva | 5 | 0 | 1 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 3 | N/A | Dallas |\n| John Jenkins | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Dallas |\n| Justin Anderson | 3 | 0 | 1 | 0 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Dallas |\n| JaVale McGee | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |" + }, + { + "from": "human", + "value": "Could you analyze the table shown in the image and inform me about all the merged cell areas? Use the JSON {'top-left':(A, B), 'bottom-right':(C, D)} to represent each merged area, with (A, B) as the (first row, first column) and (C, D) as the (last row, last column). Note that the A, B, C, D all start from 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "This picture contains data records of an NBA game between Rockets and Mavericks. The game date is 01/24/2016. Based on the given data, generate a comprehensive summary for this game." + }, + { + "from": "gpt", + "value": "The Houston Rockets (24-22) defeated the visiting Dallas Mavericks (25-21) 115-104 at Toyota Center on Sunday. Houston picked up right where they left off as they jumped out to a quick start in this one. Trevor Ariza fuelled the Rockets' 36-point first quarter by scoring 16 points on 6-7 shooting from the field, including 4-5 from long range. The Mavericks turned things around in the second quarter, outscoring the Rockets 29-14, to take the lead 58-50 going into halftime, however they let their lead slip to 85-84 by the end of the third quarter. In the fourth the Rockets took over for good. They out-scored the Mavs 31-19 in the fourth, with eight of those points coming from recent re-acquisition Josh Smith. Houston has now won two straight, coinciding with the return of Josh Smith. Patrick Beverley made his return to the starting lineup after he missed a couple of games with a sprained ankle. Beverley finished with seven points, nine rebounds and four assists, in 30 minutes. Trevor Ariza was huge for the Rockets as he dropped 29 points (11-15 FG, 6-9 3Pt), along with three rebounds, three steals and two assists, in 39 minutes. James Harden recorded a triple-double with 23 points (7-18 FG, 310 3Pt, 6-6 FT), 15 rebounds and 10 assists, along with two blocked shots, in 35 minutes. Dwight Howard sat this one out with a sprained ankle. Chandler Parsons continued his strong play as of late, with 31 points (10-15 FG, 5-6 3Pt, 6-9 FT), six rebounds and three assists, in 35 minutes. Parsons has been a different animal lately as his scoring average in the last four games is about 17 points higher than it was through the first 40 games. Dirk Nowitzki put up 19 points (7-13 FG) and three rebounds, in 27 minutes. Raymond Felton played well in 34 minutes off the bench, finishing with 16 points (6-10 FG), eight rebounds and two assists. The Mavs went with a different look at the center position in this one, with Salah Mejri starting in place of Zaza Pachulia (leg). Mejri faired well as he tallied 10 points (4-6 FG, 2-2 FT), 11 rebounds and three blocked shots, in 29 minutes. The Mavericks have now lost two straight games. They will look to turn things around in L.A. on Tuesday when they play the Lakers. The Rockets will begin a three-game road trip in New Orleans on Monday. They will look to extend their win streak but will be faced with the challenge of playing on the second night of a back-to-back." + } + ] + }, + { + "id": "table_instructV_multi_round_17091", + "image": "table_instructV/images/ToTTo_train_table_5321.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Title | Director | Cast | Genre | Sources |\n| --- | --- | --- | --- | --- |\n| Aadamkhor | Joginder | Joginder Shelly, Neelam Mehra, Nazneen | | |\n| Aag Aur Shola | K. Bapaiah | Shoma Anand, Asrani, Bindu | | |\n| Aakhree Raasta | | Amitabh Bachchan, Sridevi, Jaya Prada, Sadashiv Amrapurkar | | |\n| Aap Ke Saath | J. Om Prakash | Smita Patil, Anil Kapoor, Rati Agnihotri | Drama, Family | |\n| Aashiana | Mahesh Bhatt | Mark Zubair, Deepti Naval, Soni Razdan | | |\n| Adhikar | Chitrayug, Vijay Sadanah | Rajesh Khanna, Tina Munim, Zarina Wahab | | |\n| Aisa Pyaar Kahan | Vijay Sadanah | Jeetendra, Jayapradha, Mithun Chakraborty | | |\n| Albela | | | Romance | |\n| Allah Rakha | Ketan M. Desai | Jackie Shroff, Shammi Kapoor, Waheeda Rehman, Dimple Kapadia, Meenakshi Seshadri | | |\n| Amma | | | | |\n| Amrit | Mohan Kumar | Rajesh Khanna, Smita Patil, Aruna Irani | Drama, Family | |\n| Anaadi Anant | Prakash Jha | Surekha Sikri, Vasant Jasaljar, Suman Kumar | | |\n| Andaz Pyaar Ka | | Neelam | | |\n| Andheri Raat Mein Diya Tere Haath Mein | Dada Kondke | Dada Kondke, Usha Chavan, Dina Pathak | | |\n| Angaaray | Rajesh Seth | Rajesh Khanna, Smita Patil, Raj Babbar | Adventure, Crime, Romance | |\n| Ankush | N. Chandra | Nana Patekar, Rabia Amin, Raja Bundela | Drama | |\n| Anokha Insaan | | T.P. Jain, Padma Khanna | | |\n| Anokha Rishta | I.V. Sasi | Rajesh Khanna, Smita Patil, Sabeeha | Drama | |\n| Anubhav | Kashinath | Shekhar Suman, Padmini Kolhapure, Padma Khanna | Comedy, Drama | |\n| Asli Naqli | Sudershan Nag | Shatrughan Sinha, Rajnikanth, Anita Raj | | |\n| Avinash | Umesh Mehra | Mithun Chakraborty, Poonam Dhillon, Bindiya Goswami | Action, Crime, Drama | |\n| Baat Ban Jaye | Bharat Rangachary | Zeenat Aman, Amol Palekar, Utpal Dutt | | |\n| Babu | Govind Moonis | Aakash, Brahmachari, Shreechand Makhija | Drama | |\n| Badkaar | | Sadhana Singh | | |\n| Bhagwaan Dada | J. Om Prakash | Rajnikanth, Rakesh Roshan, Sridevi | | |\n| Bhai Ka Dushman Bhai | Sudesh Issar | Puneet Issar, Suresh Oberoi, Rameshwari | | |\n| Car Thief | Sameer Malkan | Suneil Anand, Vijayata Pandit, Kevin Mukherji | | |\n| Chambal Ka Badshah | S. Dinesh | Danny Denzongpa, Roma Manik, Raj Kiran | | |\n| Chameli Ki Shaadi | Basu Chatterjee | Anil Kapoor, Amrita Singh, Om Prakash | Comedy, Drama, Romance | |\n| Chhota Aadmi | Krishnakant | Naresh Kanodiya, Komal Mahuvakar, Jayshree T. | | |\n| Congregation | Muzaffar Ali | Shabana Azmi, Farooq Shaikh, Rohini Hattangadi | Drama | |\n| Dahleez | Ravi Chopra | Jackie Shroff, Raj Babbar, Meenakshi Sheshadri | Drama, Family, Action | |\n| Daku Bijlee | | | | |\n| Dancing City | | | Romance | |\n| Dharm Adhikari | | Dilip Kumar, Jeetendra, Sridevi, Pran | | |\n| Dilwaala | K. Murali Mohana Rao | Smita Patil, Mithun Chakraborty, Meenakshi Seshadri, Shakti Kapoor, Dulari, Pran | | |\n| Dosti Dushmani | T. Rama Rao | Jeetendra, Rishi Kapoor, Bhanupriya, Poonam Dhillon, Pran | | |\n| Durgaa Maa | K.S. Reddy | Beena Banerjee, Shubha Khote, Raj Kiran | | |\n| Duty | Ravikant Nagaich | Arun Bakshi, Rakesh Bedi, Govinda | | |" + }, + { + "from": "human", + "value": "Examine the following Wikipedia table, which is titled 'List of Bollywood films of 1986' and its section is titled 'Films A-D'. \nSome important table cells are highlighted with a different background color. Please create a single sentence that summarizes the highlighted table cells." + }, + { + "from": "gpt", + "value": "Asli Naqli is a 1986 Hindi film directed by Sudarsan Nag." + }, + { + "from": "human", + "value": "Examine the table in the provided image and generate an HTML text representation of the table." + }, + { + "from": "gpt", + "value": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Title Director Cast Genre Sources
Aadamkhor Joginder Joginder Shelly, Neelam Mehra, Nazneen
Aag Aur Shola K. Bapaiah Shoma Anand, Asrani, Bindu
Aakhree Raasta Amitabh Bachchan, Sridevi, Jaya Prada, Sadashiv Amrapurkar
Aap Ke Saath J. Om Prakash Smita Patil, Anil Kapoor, Rati Agnihotri Drama, Family
Aashiana Mahesh Bhatt Mark Zubair, Deepti Naval, Soni Razdan
Adhikar Chitrayug, Vijay Sadanah Rajesh Khanna, Tina Munim, Zarina Wahab
Aisa Pyaar Kahan Vijay Sadanah Jeetendra, Jayapradha, Mithun Chakraborty
Albela Romance
Allah Rakha Ketan M. Desai Jackie Shroff, Shammi Kapoor, Waheeda Rehman, Dimple Kapadia, Meenakshi Seshadri
Amma
Amrit Mohan Kumar Rajesh Khanna, Smita Patil, Aruna Irani Drama, Family
Anaadi Anant Prakash Jha Surekha Sikri, Vasant Jasaljar, Suman Kumar
Andaz Pyaar Ka Neelam
Andheri Raat Mein Diya Tere Haath Mein Dada Kondke Dada Kondke, Usha Chavan, Dina Pathak
Angaaray Rajesh Seth Rajesh Khanna, Smita Patil, Raj Babbar Adventure, Crime, Romance
Ankush N. Chandra Nana Patekar, Rabia Amin, Raja Bundela Drama
Anokha Insaan T.P. Jain, Padma Khanna
Anokha Rishta I.V. Sasi Rajesh Khanna, Smita Patil, Sabeeha Drama
Anubhav Kashinath Shekhar Suman, Padmini Kolhapure, Padma Khanna Comedy, Drama
Asli Naqli Sudershan Nag Shatrughan Sinha, Rajnikanth, Anita Raj
Avinash Umesh Mehra Mithun Chakraborty, Poonam Dhillon, Bindiya Goswami Action, Crime, Drama
Baat Ban Jaye Bharat Rangachary Zeenat Aman, Amol Palekar, Utpal Dutt
Babu Govind Moonis Aakash, Brahmachari, Shreechand Makhija Drama
Badkaar Sadhana Singh
Bhagwaan Dada J. Om Prakash Rajnikanth, Rakesh Roshan, Sridevi
Bhai Ka Dushman Bhai Sudesh Issar Puneet Issar, Suresh Oberoi, Rameshwari
Car Thief Sameer Malkan Suneil Anand, Vijayata Pandit, Kevin Mukherji
Chambal Ka Badshah S. Dinesh Danny Denzongpa, Roma Manik, Raj Kiran
Chameli Ki Shaadi Basu Chatterjee Anil Kapoor, Amrita Singh, Om Prakash Comedy, Drama, Romance
Chhota Aadmi Krishnakant Naresh Kanodiya, Komal Mahuvakar, Jayshree T.
Congregation Muzaffar Ali Shabana Azmi, Farooq Shaikh, Rohini Hattangadi Drama
Dahleez Ravi Chopra Jackie Shroff, Raj Babbar, Meenakshi Sheshadri Drama, Family, Action
Daku Bijlee
Dancing City Romance
Dharm Adhikari Dilip Kumar, Jeetendra, Sridevi, Pran
Dilwaala K. Murali Mohana Rao Smita Patil, Mithun Chakraborty, Meenakshi Seshadri, Shakti Kapoor, Dulari, Pran
Dosti Dushmani T. Rama Rao Jeetendra, Rishi Kapoor, Bhanupriya, Poonam Dhillon, Pran
Durgaa Maa K.S. Reddy Beena Banerjee, Shubha Khote, Raj Kiran
Duty Ravikant Nagaich Arun Bakshi, Rakesh Bedi, Govinda
" + } + ] + }, + { + "id": "table_instructV_multi_round_17132", + "image": "table_instructV/images/TabFact_2-17644259-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| date | round | opponent | venue | result | attendance |\n| --- | --- | --- | --- | --- | --- |\n| 13 / 01 / 2009 | r4 | brechin city | glebe park | 3 - 1 | 1026 |\n| 07 / 02 / 2009 | r5 | motherwell | fir park | 1 - 1 | 5695 |\n| 17 / 02 / 2009 | r5 (replay) | motherwell | st mirren park | 1 - 0 | 4555 |\n| 07 / 03 / 2009 | quarter - final | celtic | st mirren park | 1 - 0 | 5925 |\n| 25 / 04 / 2009 | semi - final | rangers | hampden park | 0 - 3 | 32431 |" + }, + { + "from": "human", + "value": "According to the table information regarding '2008 - 09 st. mirren f.c. season', tell me whether the provided table supports or contradicts the statement. Show your final answer in the JSON format {\"answer\": \"\"}.\nin the match against brechin city , 1026 fans were in attendance at glebe park" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it supports the statement. Hence, the answer is {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "Examine whether the subsequent claim is entailed or refuted by the given table titled '2008 - 09 st. mirren f.c. season'. Output the final answer as JSON in the format {\"answer\": \"\"}.\nthe semi - final against the rangers had the highest attendence with a head count of 32431" + }, + { + "from": "gpt", + "value": "Based on the table information, the claim is true. Thus, the answer is {\"answer\": \"entailed\"}." + }, + { + "from": "human", + "value": "Examine the table image with the title '2008 - 09 st. mirren f.c. season', classify whether the sentence is entailed or refuted based on the table's content and title. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nsentence: in the final score for the semi - final against the rangers , neither team remained scoreless" + }, + { + "from": "gpt", + "value": "According to the table, the sentence is refuted by the table information. Therefore, the final answer: {\"answer\": \"refuted\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title '2008 - 09 st. mirren f.c. season', and determine whether the given claim is supported or contradicted by the table information. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nclaim: the semi - final against the rangers had the second highest attendance with a head count of 32431" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the claim is not valid. Hence, the answer is {\"answer\": \"contradicted\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_17140", + "image": "table_instructV/images/ToTTo_train_table_17896.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 2005 | 1/2 Falta | Bruno Sampardi | |\n| 2006 | Sos mi vida | José Fernández | |\n| 2007 | Romeo y Julieta | Romeo | |\n| 2008 | Donne assassine | Davide | |\n| 2008 | Atracción x4 | Keto Milhojas | |\n| 2009 | Atracción x4 en Dream Beach | Keto Milhojas | |\n| 2012 | Los únicos | Borja | |\n| 2012 | Historia clínica (unitario) | Bernardo de Monteagudo | |\n| 2013 | Historias de corazón | Julián (Ep: \"La profe\") | |\n| 2014 | La celebración | Francisco (Ep: \"Boda\") | |\n| 2014 | Señores Papis | Roman | |\n| 2014 | Televisión por la justicia: Santos y pecadores | Ariel Arbizu, \"el pinche\" (Ep: \"El pinche\") | |\n| 2015 | Conflictos modernos | Mateo (Ep: \"Mateo\") | |" + }, + { + "from": "human", + "value": "Generate a one-sentence summary about the highlighted table cells based on the following Wikipedia table and its metadata. \nTable title: Elías Viñoles\nSection title: Television\n" + }, + { + "from": "gpt", + "value": "In 2006, Elías Viñoles portrayed \"José Fernández\" in Sos mi vida." + } + ] + }, + { + "id": "table_instructV_multi_round_17165", + "image": "table_instructV/images/TABMWP_468.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Number of ponds | Number of ducks |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | ? |" + }, + { + "from": "human", + "value": "Give you a table image, answer this question. Let's think step by step. In the last of your solution, output the final answer as JSON in the format {\"answer\": \"\"}.\nEach pond has 2 ducks. How many ducks are in 4 ponds?" + }, + { + "from": "gpt", + "value": "Count by twos. Use the chart: there are 8 ducks in 4 ponds.\n\nThus, the final answer is {\"answer\": \"8\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_17186", + "image": "table_instructV/images/ToTTo_train_table_3285.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Year | Film | Role | Notes |\n| --- | --- | --- | --- |\n| 1982 | Death Valley | Sally | |\n| 1983 | Better Late Than Never | Sable | |\n| 1984 | Garbo Talks | Jane Mortimer | |\n| 1984 | The Razor's Edge | Isabel Bradley | |\n| 1985 | Fever Pitch | Flo | |\n| 1986 | Peggy Sue Got Married | Carol Heath | |\n| 1986 | Star Trek IV: The Voyage Home | Dr. Gillian Taylor | |\n| 1987 | Like Father Like Son | Dr. Amy Larkin | |\n| 1988 | Cognac | Ella Frazier | |\n| 1988 | Child's Play | Karen Barclay | |\n| 1989 | Souvenir | Tina Boyer | |\n| 1989 | She's Out of Control | Janet Pearson | |\n| 1990 | Child's Play 2 | Karen Barclay | Photograph, Uncredited |\n| 1991 | Child's Play 3 | Karen Barclay | Photograph, Uncredited |\n| 1991 | Liebestraum | Mary Parker | |\n| 1995 | Dillinger and Capone | Abigail | |\n| 1995 | Animal Room | Mrs. Mosk | |\n| 1997 | Turbulence | Maggie | |\n| 1997 | Eight Days a Week | Ms. Lewis | |\n| 2009 | My Name Is Jerry | Dana Holderman | |\n| 2009 | The Truth About Layla | Eleanor | |\n| 2010 | The Genesis Code | Myra Allitt | |\n| 2011 | Your Love Never Fails | Judge Cramer | Video |\n| 2011 | Ghost Phone: Phone Calls from the Dead | Gertrude | |\n| 2011 | Dorfman in Love | Rose | |\n| 2011 | You're a Wolf | Mom | Short film |\n| 2013 | Reach | Linda | |\n| 2013 | Curse of Chucky | Karen Barclay | Photograph, Uncredited |\n| 2014 | The Dog Who Saved Easter | Cressida | |\n| 2015 | That Gal...Who Was In That Thing | Herself | Documentary |" + }, + { + "from": "human", + "value": "Give you a Wikipedia table titled 'Catherine Hicks'. Its section title is 'Film'. \nBased on the table and above metadata, generate a one-sentence description about highlighted table cells." + }, + { + "from": "gpt", + "value": "Catherine Hicks made her debut film in the Death Valley (1982) as Sally." + } + ] + }, + { + "id": "table_instructV_multi_round_17187", + "image": "table_instructV/images/ToTTo_train_table_24307.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| 2 May 1982 27 | Vitória de Setúbal | 2–2 | Benfica | Setúbal |\n| --- | --- | --- | --- | --- |\n| 18:00 | Jorge Jesus 63' Fernando Garcez 83' | Report | Reinaldo 14' Nené 73' | Stadium: Estádio do Bonfim Referee: Alder Dante |" + }, + { + "from": "human", + "value": "Consider the table titled '1981–82 S.L. Benfica season', with its section title 'Matches'\nFormulate a sentence describing the highlighted cells' content." + }, + { + "from": "gpt", + "value": "Benfica drew with Vitória de Setúbal on 2 May." + } + ] + }, + { + "id": "table_instructV_multi_round_17267", + "image": "table_instructV/images/TabFact_1-20174050-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| title | author | reader | format | company | release date | notes |\n| --- | --- | --- | --- | --- | --- | --- |\n| night of the humans | llewellyn , david david llewellyn | darvill , arthur arthur darvill | download | bbc audio | 2010 - 07 - 01 1 july 2010 | unabridged reissued on 4 cds by audiogo |\n| the forgotten army | minchin , brian brian minchin | colman , olivia olivia colman | download | bbc audio | 2010 - 09 - 01 1 september 2010 | unabridged reissued on 6 cds by audiogo |\n| the coming of the terraphiles | moorcock , michael michael moorcock | mantle , clive clive mantle | 9 - cd | bbc audio | 2010 - 10 - 28 28 october 2010 | unabridged |\n| nuclear time | smith , oli oli smith | briggs , nicholas nicholas briggs | download | bbc audio | 2011 - 02 - 01 1 february 2011 | unabridged reissued on 4 cds by audiogo |\n| the king 's dragon | mccormack , una una mccormack | briggs , nicholas nicholas briggs | download | bbc audio | 2011 - 03 - 01 1 march 2011 | unabridged reissued on 5 cds by audiogo |\n| the glamour chase | russell , gary gary russell | darvill , arthur arthur darvill | download | bbc audio | 2011 - 04 - 01 1 april 2011 | unabridged reissued on 5 cds by audiogo |\n| the way through the woods | mccormack , una una mccormack | corbett , clare clare corbett | download | bbc audio | 2011 - 07 - 01 1 july 2011 | unabridged reissued on 4 cds by audiogo |\n| touched by an angel | morris , jonathon jonathan morris | corbett , clare clare corbett | download | bbc audio | 2011 - 08 - 01 1 august 2011 | unabridged reissued on 6 cds by audiogo |\n| paradox lost | mann , george george mann | briggs , nicholas nicholas briggs | download | bbc audio | 2011 - 09 - 01 1 september 2011 | unabridged reissued on 6 cds by audiogo |\n| borrowed time | alderman , naomi naomi alderman | syal , meera meera syal | download | bbc audio | 2011 - 10 - 01 1 october 2011 | unabridged reissued on 6 cds by audiogo |\n| the silent stars go by | abnett , dan dan abnett | maloney , michael michael maloney | download | bbc audio | 2011 - 10 - 01 1 october 2011 | reissued on 6 cds 3 november 2011 |\n| dark horizons | colgan , jenny j t colgan | mcintosh , neve neve mcintosh | 6 - cd | bbc audio | 2012 - 07 - 05 5 july 2012 | unabridged |\n| plague of the cybermen | richards , justin justin richards | warner , david david warner | cd | audiogo | 2013 - 04 - 11 11 april 2013 | cybermen vocies by nicholas briggs |\n| the dalek generation | briggs , nicholas nicholas briggs | briggs , nicholas nicholas briggs | download | audiogo | 2013 - 04 - 11 11 april 2013 | reissued on cd 3 june 2013 |" + }, + { + "from": "human", + "value": "In the context of a table, we can utilize the json format {'value': '', 'location': (row index, column index)} to express a cell's position, where both row and column indices commence from 1. Examining the provided table image, identify the locations of the following cells using this format.\nValues to locate:\n1. '12:15 P.M.';\n2. '2012 - 07 - 05 5 july 2012';\n3. '9 - cd';\n4. '2011 - 09 - 01 1 september 2011';\n5. 'cybermen vocies by nicholas briggs';\n6. 'art gallery district';\n7. 'notes';\n8. 'Subway train schedule';\n9. 'city park';\n10. 'smith , oli oli smith';\n11. 'maloney , michael michael maloney';\nSome cell values may not be contained in this table. If so, represent their locations as 'DOES NOT EXIST'." + }, + { + "from": "gpt", + "value": "The coordinates of target cells are listed below.\n1. {'value': '12:15 P.M.', 'location': 'DOES NOT EXIST'}\n2. {'value': '2012 - 07 - 05 5 july 2012', 'location': (13, 6)}\n3. {'value': '9 - cd', 'location': (4, 4)}\n4. {'value': '2011 - 09 - 01 1 september 2011', 'location': (10, 6)}\n5. {'value': 'cybermen vocies by nicholas briggs', 'location': (14, 7)}\n6. {'value': 'art gallery district', 'location': 'DOES NOT EXIST'}\n7. {'value': 'notes', 'location': (1, 7)}\n8. {'value': 'Subway train schedule', 'location': 'DOES NOT EXIST'}\n9. {'value': 'city park', 'location': 'DOES NOT EXIST'}\n10. {'value': 'smith , oli oli smith', 'location': (5, 2)}\n11. {'value': 'maloney , michael michael maloney', 'location': (12, 3)}" + }, + { + "from": "human", + "value": "Examine the table titled 'list of doctor who audiobooks' and judge whether the table confirms or contradicts the following claim. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\ndark horizons was released before plague of the cybermen" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it confirms the claim. Hence, the answer is {\"answer\": \"confirms\"}." + }, + { + "from": "human", + "value": "Examine the table image with the title 'list of doctor who audiobooks', classify whether the statement is supported or disputed based on the table's content and title. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nstatement: the silent stars go by was released before dark horizons" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the statement. Hence, the answer is {\"answer\": \"supported\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_17474", + "image": "table_instructV/images/ToTTo_train_table_23728.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| New Zealand | v | Pakistan |\n| --- | --- | --- |\n| 249 (74 overs) Stephen Fleming 67 (109) Mushtaq Ahmed 6/87 (30 overs) | | 430 (126.4 overs) Saeed Anwar 149 (214) Chris Cairns 5/137 (30.4 overs) |\n| 168 (58 overs) Bryan Young 61 (121) Mohammad Zahid 7/66 (20 overs) | | |" + }, + { + "from": "human", + "value": "Consider the table titled 'New Zealand cricket team in Pakistan in 1996–97', with its section title '2nd Test'\nFormulate a sentence describing the highlighted cells' content." + }, + { + "from": "gpt", + "value": "New Zealand was undone by Ahmed's 6 wickets, failing to 249 all out with 67 from Fleming." + } + ] + }, + { + "id": "table_instructV_multi_round_17509", + "image": "table_instructV/images/TABMWP_35226.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $580 | 5,200 | 1,400 |\n| $620 | 4,200 | 6,000 |\n| $660 | 3,200 | 10,600 |\n| $700 | 2,200 | 15,200 |\n| $740 | 1,200 | 19,800 |" + }, + { + "from": "human", + "value": "Solve the math problem below using the information from the table. Detail each step. Provide a concluding answer in a JSON structure, using the format {\"answer\": \"\"}.\n\nLook at the table. Then answer the question. At a price of $580, is there a shortage or a surplus? (A) shortage (B) surplus" + }, + { + "from": "gpt", + "value": "At the price of $580, the quantity demanded is greater than the quantity supplied. There is not enough of the good or service for sale at that price. So, there is a shortage.\n\n\nTherefore, the final answer is {\"answer\": \"shortage\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_17520", + "image": "table_instructV/images/Rotowire_train_table_3283.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Spurs | San Antonio | 123 | 31 | 37 | 28 | 27 | 30 | 43 | 16 | 57 | 88 | 39 | 15 | 5 | | | | |\n| Timberwolves | Minnesota | 101 | 23 | 28 | 25 | 25 | 20 | 33 | 8 | 42 | 78 | 38 | 4 | 15 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Marco Belinelli | 28 | 20 | 2 | 6 | 7-12 | 58% | 4-6 | 67% | 2-2 | 100% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | San Antonio |\n| Kawhi Leonard | 27 | 18 | 3 | 4 | 7-12 | 58% | 0-2 | 0% | 4-5 | 80% | 1 | 3 | 0 | 0 | 3 | 2 | F | San Antonio |\n| Cory Joseph | 33 | 18 | 4 | 5 | 7-10 | 70% | 0-0 | 0% | 4-4 | 100% | 1 | 0 | 0 | 1 | 3 | 0 | G | San Antonio |\n| Boris Diaw | 23 | 17 | 3 | 4 | 6-10 | 60% | 0-2 | 0% | 5-6 | 83% | 1 | 1 | 0 | 0 | 3 | 5 | N/A | San Antonio |\n| Tim Duncan | 19 | 13 | 10 | 5 | 5-11 | 46% | 0-0 | 0% | 3-3 | 100% | 0 | 3 | 2 | 4 | 6 | 4 | F | San Antonio |\n| Danny Green | 28 | 11 | 8 | 3 | 4-9 | 44% | 1-4 | 25% | 2-2 | 100% | 2 | 4 | 1 | 2 | 6 | 3 | G | San Antonio |\n| Matt Bonner | 25 | 10 | 1 | 1 | 4-6 | 67% | 2-3 | 67% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | C | San Antonio |\n| Jeff Ayres | 9 | 6 | 1 | 1 | 3-4 | 75% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 0 | 1 | N/A | San Antonio |\n| Aron Baynes | 20 | 5 | 5 | 0 | 2-2 | 100% | 0-0 | 0% | 1-1 | 100% | 0 | 1 | 2 | 0 | 5 | 3 | N/A | San Antonio |\n| Kyle Anderson | 18 | 3 | 5 | 1 | 1-3 | 33% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 1 | 0 | 5 | 2 | N/A | San Antonio |\n| Austin Daye | 9 | 2 | 1 | 0 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 2 | N/A | San Antonio |\n| Manu Ginobili | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Tony Parker | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Zach LaVine | 42 | 22 | 3 | 10 | 8-15 | 53% | 2-4 | 50% | 4-5 | 80% | 2 | 2 | 0 | 0 | 3 | 4 | G | Minnesota |\n| Shabazz Muhammad | 21 | 20 | 3 | 0 | 7-12 | 58% | 1-2 | 50% | 5-9 | 56% | 0 | 0 | 0 | 3 | 0 | 1 | N/A | Minnesota |\n| Thaddeus Young | 25 | 14 | 1 | 4 | 5-8 | 63% | 0-0 | 0% | 4-6 | 67% | 4 | 1 | 1 | 0 | 1 | 2 | F | Minnesota |\n| Anthony Bennett | 27 | 14 | 10 | 2 | 6-11 | 55% | 0-1 | 0% | 2-2 | 100% | 1 | 0 | 0 | 0 | 10 | 2 | N/A | Minnesota |\n| Gorgui Dieng | 26 | 8 | 7 | 1 | 1-4 | 25% | 0-0 | 0% | 6-6 | 100% | 1 | 1 | 1 | 4 | 3 | 4 | C | Minnesota |\n| Corey Brewer | 24 | 7 | 2 | 3 | 3-10 | 30% | 1-4 | 25% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 3 | G | Minnesota |\n| Glenn Robinson | 12 | 7 | 1 | 0 | 1-4 | 25% | 1-2 | 50% | 4-4 | 100% | 1 | 0 | 0 | 0 | 1 | 1 | N/A | Minnesota |\n| Andrew Wiggins | 34 | 6 | 1 | 0 | 3-13 | 23% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 2 | F | Minnesota |\n| Chase Budinger | 7 | 3 | 1 | 0 | 1-5 | 20% | 1-3 | 33% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Minnesota |\n| Robbie Hummel | 16 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Minnesota |\n| Jeff Adrien | 6 | 0 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 1 | N/A | Minnesota |\n| Nikola Pekovic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Mo Williams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |" + }, + { + "from": "human", + "value": "From the data presented in the box-score and line-score tables of the NBA game between Spurs and Timberwolves on December 06, 2014, generate an insightful summary that captures the game's dynamics and key statistics." + }, + { + "from": "gpt", + "value": "The San Antonio Spurs (15-5) defeated the Minnesota Timberwolves (4-15) 123-101 on Saturday. San Antonio has won 10 of their last 11 games. They rested Tony Parker, who suffered a mild hamstring injury in Friday 's win over the Memphis Grizzlies, and Manu Ginobili (rest) for this game. While coach Gregg Popovich planned to have Tim Duncan sit out as well, the Big Fundamental insisted on playing, and he put up 13 points, 10 rebounds and five assists in 19 minutes. Cory Joseph filled in as the starter at point guard and led the way for the Spurs, putting up 18 points and five assists in 33 minutes. San Antonio 's next game is on the road against the Utah Jazz on Tuesday. Minnesota has lost five straight, and the injury bug continues to infect them. Ricky Rubio (ankle), Kevin Martin (wrist) and Nikola Pekovic (wrist) remain out in what seems like perpetuity, and Mo Williams was held out of Friday and Saturday 's games with back spasms, leaving Zach LaVine as the only healthy point guard on the roster. LaVine did his best to step up, finshing with the first double-double of his career (22 points, 10 rebounds) in 42 minutes. It 's not going to get easier for the Timberwolves anytime soon. They host the Golden State Warriors on Monday." + } + ] + }, + { + "id": "table_instructV_multi_round_17542", + "image": "table_instructV/images/TABMWP_22922.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Dog | Weight change (oz.) |\n| --- | --- |\n| Sprinkles | 5 |\n| Champ | -6 |" + }, + { + "from": "human", + "value": "Show the detailed solution to answer the following question. Finally, your final answer should be in the JSON format of {\"answer\": \"\"}.\nQuestion: Martin has two dogs, Sprinkles and Champ. He is concerned because Sprinkles keeps eating Champ's food. Martin asks their vet how much each dog's weight has changed since their last visit. Which dog's weight has changed the most? (A) Sprinkles (B) Champ" + }, + { + "from": "gpt", + "value": "To find which dog's weight changed the most, use absolute value. Absolute value tells you how much each dog's weight has changed.\nSprinkles: |5| = 5\nChamp: |-6| = 6\nChamp's weight has changed the most. He has lost 6 ounces.\n\nTherefore, the final answer is {\"answer\": \"Champ\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_17606", + "image": "table_instructV/images/TabFact_2-18974097-15.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| school | location | mascot | enrollment | ihsaa class | ihsaa football class | county |\n| --- | --- | --- | --- | --- | --- | --- |\n| cascade | clayton | cadets | 533 | aa | aa | 33 hendricks |\n| cloverdale | cloverdale | clovers | 399 | aa | a | 67 putnam |\n| greencastle | greencastle | tiger cubs | 601 | aaa | aaa | 67 putnam |\n| monrovia | monrovia | bulldogs | 488 | aa | aa | 55 morgan |\n| north putnam | roachdale | cougars | 590 | aaa | aa | 67 putnam |\n| south putnam | putnamville | eagles | 436 | aa | aa | 67 putnam |" + }, + { + "from": "human", + "value": "Table title: indiana high school athletics conferences : ohio river valley - western indiana\nsentence: the only school with a ihsaa football class is greencastle , while every other school has aa or aaa\nPlease distinguish whether the above sentence is entailed or challenged by the table information. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}." + }, + { + "from": "gpt", + "value": "Based on the evidence presented in the table, we can conclude that the sentence is not true. Therefore, the answer is {\"answer\": \"challenged\"}." + }, + { + "from": "human", + "value": "A merged cell in a table can be described using the JSON {'top-left':(A, B), 'bottom-right':(C, D)}. Here, '(A, B)' represents the top-left and '(C, D)' the bottom-right cells' (row_id, column_id) of the merged region. Using the displayed table image, identify all such merged cells in this table and report their locations in the given format. Note that the numbering of both row and column IDs starts at 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "Examine the table image with the title 'indiana high school athletics conferences : ohio river valley - western indiana', classify whether the statement is entailed or opposed based on the table's content and title. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nstatement: the only schools that are in putnam county are cascade and monrovia" + }, + { + "from": "gpt", + "value": "Based on the table information, the statement is not true. Thus, the answer is {\"answer\": \"opposed\"}." + }, + { + "from": "human", + "value": "Examine whether the table entails or disputes the subsequent hypothesis. Show your final answer in the JSON format {\"answer\": \"\"}.\ntable title: 'indiana high school athletics conferences : ohio river valley - western indiana'\nhypothesis: greencastle is the only school to have aaa in both ihsaa class and ihsaa football class" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the hypothesis. Consequently, the answer is {\"answer\": \"entails\"}." + }, + { + "from": "human", + "value": "According to the table information regarding 'indiana high school athletics conferences : ohio river valley - western indiana', tell me whether the provided table upholds or opposes the claim. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\ncloverdale , greencastle , north and south putnam schools are all located in putnam county" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the claim. Consequently, the answer is {\"answer\": \"upholds\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_17701", + "image": "table_instructV/images/ToTTo_train_table_19287.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Name | Nat | From | To | P | W | D | L | Win% | Honours |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hossein Sadaghiani | Iran | 15 January 1941 | 5 March 1951 | 3 | 1 | 1 | 1 | 33.33 | |\n| Mostafa Salimi | Iran | 5 March 1951 | 2 April 1952 | 5 | 2 | 2 | 1 | 40.00 | Silver Medal at 1951 Asian Games |\n| József Mészáros | Hungary | 5 December 1957 | 18 December 1959 | 6 | 3 | 1 | 2 | 50.00 | |\n| Hossein Fekri | Iran | 1 June 1961 | 16 March 1966 | 8 | 1 | 4 | 3 | 12.50 | Qualification to 1964 Summer Olympics |\n| György Szűcs | Hungary | 10 September 1966 | 24 November 1967 | 7 | 4 | 0 | 3 | 57.14 | Silver Medal at 1966 Asian Games |\n| Hossein Fekri | Iran | 24 November 1967 | 26 November 1967 | 2 | 1 | 0 | 1 | 50.00 | |\n| Mahmoud Bayati | Iran | 26 November 1967 | 7 March 1969 | 4 | 4 | 0 | 0 | 100.00 | Winner of 1968 Asian Cup |\n| Zdravko Rajkov | Socialist Federal Republic of Yugoslavia | 7 March 1969 | 17 September 1970 | 5 | 4 | 0 | 1 | 80.00 | |\n| Igor Netto | Soviet Union | 4 November 1970 | 10 September 1971 | 3 | 0 | 1 | 2 | 0.00 | |\n| Parviz Dehdari | Iran | 10 September 1971 | 7 May 1972 | 2 | 1 | 0 | 1 | 50.00 | Winner of 1971 Cyrus International Tournament |\n| Mohammad Ranjbar | Iran | 7 May 1972 | 25 June 1972 | 9 | 5 | 1 | 3 | 55.56 | Winner of 1972 Asian Cup |\n| Mahmoud Bayati | Iran | 26 June 1972 | 17 January 1974 | 9 | 5 | 2 | 2 | 55.56 | |\n| Danny McLennan | Scotland | 17 January 1974 | 3 September 1974 | 2 | 1 | 0 | 1 | 50.00 | |\n| Frank O'Farrell | Republic of Ireland | 3 September 1974 | 10 August 1975 | 9 | 7 | 0 | 2 | 77.78 | Gold Medal at 1974 Asian Games Winner of 1974 Iran International Tournament Qualification to 1976 Summer Olympics |\n| Heshmat Mohajerani | Iran | 10 August 1975 | 6 September 1978 | 28 | 15 | 7 | 6 | 53.57 | Winner of 1976 Asian Cup Quarter Finals of 1976 Summer Olympics Qualification to 1978 WC |\n| Hassan Habibi | Iran | 12 March 1979 | 25 February 1982 | 12 | 9 | 2 | 1 | 75.00 | Qualification to 1980 Summer Olympics Third place at 1980 Asian Cup |\n| Jalal Cheraghpour* | Iran | 1 March 1982 | 25 November 1982 | 4 | 2 | 0 | 2 | 50.00 | |\n| Mahmoud Yavari | Iran | 7 August 1984 | 1 December 1984 | 6 | 6 | 0 | 0 | 100.00 | |\n| Nasser Ebrahimi* | Iran | 1 December 1984 | 16 February 1985 | 8 | 2 | 4 | 2 | 25.00 | Fourth place at 1984 Asian Cup |\n| Fereydoun Asgarzadeh | Iran | 11 February 1986 | 21 February 1986 | 2 | 2 | 0 | 0 | 100.00 | Winner at 1986 Fajr International Tournament |\n| Parviz Dehdari | Iran | March 1986 | 22 January 1989 | 20 | 10 | 6 | 4 | 50.00 | Third place at 1988 Asian Cup |\n| Reza Vatankhah | Iran | 22 January 1989 | 17 March 1989 | 3 | 3 | 0 | 0 | 100.00 | |\n| Mehdi Monajati | Iran | 30 May 1989 | 22 July 1989 | 3 | 2 | 0 | 1 | 66.67 | |\n| Ali Parvin | Iran | 1 November 1989 | 28 October 1993 | 34 | 15 | 11 | 8 | 44.12 | Gold Medal at 1990 Asian Games Winner of ECO Cup 1993 |\n| Stanko Poklepović | Croatia | 3 October 1994 | 26 April 1996 | 4 | 1 | 2 | 1 | 25.00 | |\n| Mohammad Mayeli Kohan | Iran | 26 April 1996 | 7 November 1997 | 38 | 23 | 9 | 6 | 60.53 | Third place at 1996 Asian Cup |\n| Valdeir Vieira | Brazil | 16 November 1997 | 28 November 1997 | 3 | 0 | 2 | 1 | 0.00 | Qualification to 1998 WC |\n| Tomislav Ivić | Croatia | 28 November 1997 | 22 April 1998 | 5 | 1 | 2 | 2 | 20.00 | |\n| Jalal Talebi | Iran | 3 June 1998 | 13 October 1998 | 4 | 1 | 0 | 3 | 25.00 | |\n| Mansour Pourheidari | Iran | 13 October 1998 | 22 March 2000 | 17 | 9 | 5 | 3 | 52.94 | Gold Medal at 1998 Asian Games |\n| Jalal Talebi | Iran | 22 March 2000 | 1 January 2001 | 21 | 13 | 5 | 3 | 61.90 | Quarterfinals at 2000 Asian Cup Winner of 2000 WAFF |\n| Ademar Braga | Brazil | 1 January 2001 | 19 January 2001 | 3 | 3 | 0 | 0 | 100.00 | |\n| Miroslav Blažević | Croatia | 24 April 2001 | 6 February 2002 | 19 | 10 | 4 | 5 | 52.63 | |\n| Branko Ivanković | Croatia | 6 February 2002 | 4 February 2003 | 10 | 4 | 4 | 2 | 40.00 | Gold Medal at 2002 Asian Games |\n| Homayoun Shahrokhi* | Iran | 4 February 2003 | 26 September 2003 | 5 | 1 | 1 | 3 | 20.00 | |\n| Branko Ivanković | Croatia | 26 September 2003 | 21 June 2006 | 42 | 29 | 6 | 7 | 69.05 | Winner of 2004 WAFF Third place at 2004 Asian Cup Qualification to 2006 WC |\n| Amir Ghalenoei | Iran | 8 August 2006 | 22 December 2007 | 17 | 10 | 6 | 1 | 58.82 | Quarterfinals at 2007 Asian Cup |\n| Mansour Ebrahimzadeh* | Iran | 10 January 2008 | 20 March 2008 | 3 | 0 | 3 | 0 | 0.00 | |\n| Ali Daei | Iran | 20 March 2008 | 28 March 2009 | 24 | 15 | 6 | 3 | 62.50 | Winner of 2008 WAFF |\n| Erich Rutemöller* | Germany | 28 March 2009 | 22 April 2009 | 1 | 0 | 1 | 0 | 0.00 | |\n| Afshin Ghotbi | Iran | 22 April 2009 | 22 January 2011 | 30 | 16 | 6 | 8 | 53.33 | Quarterfinals at 2011 Asian Cup |\n| Ali Reza Mansourian* | Iran | 22 January 2011 | 4 April 2011 | 1 | 1 | 0 | 0 | 100.00 | |\n| Carlos Queiroz | Portugal | 4 April 2011 | 28 January 2019 | 100 | 60 | 27 | 13 | 60.00 | Qualification to 2014 WC Qualification to 2018 WC Quarterfinals at 2015 Asian Cup Semifinals at 2019 Asian Cup |" + }, + { + "from": "human", + "value": "This image shows a Wikipedia table extracted from a section.\nTable title: List of Iran national football team managers\nTable section title: Statistics\n Using the provided table and its metadata, write a sentence to summarize the information in the highlighted table cells." + }, + { + "from": "gpt", + "value": "Queiroz is the manager of the Iran national team, serving for almost eight years between 2011 and 2019." + } + ] + }, + { + "id": "table_instructV_multi_round_17729", + "image": "table_instructV/images/ToTTo_train_table_28231.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Name | Founded | Defunct | Country | Publisher | Topics | Refs |\n| --- | --- | --- | --- | --- | --- | --- |\n| Ação Games | 1991 | 2002 | Brazil | Editora Abril, Editora Azul | General video gaming | |\n| ACE | 1987 | 1992 | United Kingdom | Future Publishing (1987-1989) EMAP (1989-1992) | Atari ST, Amiga, C64, ZX Spectrum, Amstrad CPC, and newly released machines | |\n| Amiga Action | 1989 | 1996 | United Kingdom | Europress | Amiga games magazine which merged with Amiga Computing in 1996. | |\n| Amiga Force | 1992 | 1994 | United Kingdom | Europress Impact | Amiga games magazine | |\n| Amiga Power | 1991 | 1996 | United Kingdom | Future Publishing | Amiga games magazine | |\n| Amtix | 1985 | 1987 | United Kingdom | Newsfield Publications Ltd. | Amstrad CPC games magazine; merged with Computing With The Amstrad. | |\n| Atari Age | 1982 | 1984 | United States | The Atari Club | Atari related topics | |\n| Bazinama | 2002 | | Iran | ? | Iranian video game magazine | |\n| CD-Action | 1996 | | Poland | Bauer | Video games | |\n| Commodore Force | 1993 | 1994 | United Kingdom | Europress Impact | Commodore 64 games | |\n| Comptiq | 1983 | | Japan | Kadokawa Shoten | multi-media games | |\n| Computer and Video Games | 1981 | 2004 | United Kingdom | Future Publishing | Home computing, arcade games, video games; web-based magazine defunct as of February 2015. | |\n| Electronic Games / Computer Entertainment | 1981 | 1985 | United States | Reese Communications (Previously: Reese Publishing Company [1981-1983]) | Video, computer and arcade games | |\n| Computer Gaming World | 1981 | 2006 | United States | Ziff Davis | PC game topics, occasional console game topics | |\n| Crash | 1983 | 1992 | United Kingdom | Newsfield & Europress | Sinclair Spectrum | |\n| CU Amiga (Previously: Vic Computing [1982-1983]; Commodore User [1983-1990]) | 1983 | 1998 | United Kingdom | EMAP | Commodore computers; started as computer magazine; by 1985 mostly games coverage. | |\n| Dengeki Nintendo (Previously: Dengeki SUPER Famicom [1993-1996]; Dengeki NINTENDO64 [1996-2001]; Dengeki GB Advance [2001]; Dengeki GAMECUBE [2002-2006]; Dengeki Nintendo DS [2006-2012]; Dengeki Nintendo for Kids [2012-2013]) | 1993 | | Japan | Media Works (1993-2008) ASCII Media Works (2008-) | Nintendo related topics | |\n| Dengeki PlayStation | 1995 | | Japan | Media Works (1995-2008) ASCII Media Works (2008-) | PlayStation games | |\n| Diànzǐ Yóuxì Ruǎnjiàn | 1994 | 2012 | People's Republic of China | China Association for Science and Technology | China's first video game magazine. Covered PC and console gaming, anime, music, etc. | |\n| Donya ye Bazi | 2005 | 2014 | Iran | Donyaye Bazi Organization | First Official Iranian Game Magazine | |\n| EDGE | 1993 | | United Kingdom | Future Publishing | Console, PC, Arcade, Mobile games | |\n| Electric Brain | 1989 | 1993 | United Kingdom | Space City Publishing | Console games | |\n| Electronic Gaming Monthly | 1989 | 2009 | United States | Sendai Publishing (1989-1996) Ziff Davis (1996-2009) | Video game journalism | |\n| Electronic Gaming Monthly | 2010 | 2015 | United States | EGM Media | Video game journalism | |\n| Electronic Fun with Computers & Games | 1982 | 1984 | United States | Fun & Games Publishing Inc. | Video, computer and arcade games | |\n| Expert Gamer (Formerly EGM² [1994-1998]) | 1994 | 2001 | United States | Sendai Publishing (1994-1996) Ziff Davis (1996-2001) | video game strategy guides and cheat codes | |\n| Famitsu (Shūkan Famicom Tsūshin (週刊ファミコン通信, \"Weekly Famicom News\") [1991-96] Famicom Tsūshin (ファミコン通信, \"Famicom News\") [86-91] | 1986 | | Japan | ASCII (1986-2000) Enterbrain, Inc.(2000–) | Multiformat video game news | |\n| FUN! Online Games Magazine | 2009 | 2010 | United States | Beckett Media | Children's online games | |\n| Game Developer | 1994 | 2013 | United States | UBM Tech | The premier magazine for working (and aspiring) video game creators | |\n| Game Industry Report Magazine | ? | 2006 | United States | GNB News Group | All aspects of the video game industry in the USA | |\n| GameFan (Formerly Diehard GameFan) | 1992 | 2000 | United States | DieHard Gamers Club (1992-1996) Metropolis Media (1996-1998) Shinno Media (1999-2000) | Video game news –focus on Anime and RPG games, Dave Halverson first video game publication | |\n| Game Informer | 1991 | | United States | Funco (1991-2000) GameStop (2000-present) | Articles, news, strategy, and reviews of video games and associated consoles. | |\n| GameNOW | 2001 | 2004 | United States | Ziff Davis | Spinoff of EGM geared to younger audience | |\n| Game Players | 1989 | 1998 | United States | GP Publications (1989–96) Imagine Publishing (1996–98) | Video game journalism | |\n| GamePro | 1989 | 2011 | United States | IDG (1989-2008) GamePro Media (2008-2011) | General video gaming | |\n| Games for Windows: The Official Magazine | 2006 | 2008 | United States | Ziff Davis | Windows Games in partnership with Microsoft | |\n| GamesMaster | 1993 | 2018 | United Kingdom | Future plc (1993-2003, 2006–) Summit Media (2003-2006) | Multiformat video games | |\n| GameStar | 1997 | | Germany | IDG Entertainment Media (1997-2015) Webedia (2015-) | PC games | |\n| gamesTM | 2002 | 2018 | United Kingdom | Future Publishing | UK-based computer and video games magazine | |\n| Giochi per il mio computer | 1997 | 2010 | Italy | ? | Italian video game magazine | |\n| Hobby Consolas | 1991 | | Spain | First Hobby Press, then Axel Springer | Spanish video game magazine specialized in console gaming | |\n| Hoog Spel | 1990 | 2000 | The Netherlands | Rangeela B.V. | Dutch gaming magazine | |\n| LeveL | 1995 | | Czech Republic | ? | PC, PS3, Xbox 360, Wii, PSP, Nintendo DS | |\n| LeveL | 1997 | | Turkey | ? | Turkish edition of Czech magazine | |\n| MCV | 1998 | | United Kingdom | Future Publishing | business-focused topics of video games | |\n| Micromanía | 1985 | | Spain | HobbyPress (1985-1998) Axel Springer AG (1998-2012) BlueOcean Publishing (2012–present) | PC Games | |\n| MyM | 2012 | 2018 | United Kingdom | MCM Central | 3DS, PC, PS3, PS4, PS Vita, Wii, Xbox 360, Xbox One | |\n| NEXT Generation | 1995 | 2002 | United States | Imagine Media | 32-bit consoles, covers the industry rather than the games themselves | |\n| Nintendo Gamer (Previously: NGamer [2006-2011]) | 2006 | 2012 | United Kingdom | Future Publishing | British magazine covering Nintendo products | |\n| Nintendo Force | 2013 | | United States | MagCloud/NF Publishing LLC | Nintendo games | |\n| Nintendo Fun Club News | 1987 | 1988 | United States | Nintendo of America | Official Nintendo consoles coverage. Started in 1987 as a newsletter; discontinued in favor of Nintendo Power | |\n| Nintendo La Rivista Ufficiale | 2002 | 2013 | Italy | Sprea Media Italy | Italian Nintendo related topics | |\n| Nintendo Magazine System (Australia) | 1993 | 2000 | Australia | Catalyst Publishing | Australian Nintendo related topics | |\n| Nintendo Power | 1988 | 2012 | United States | Nintendo of America (1988-2007) Future U.S. Publishing (2007-2012) | Official Nintendo consoles coverage | |\n| Nintendo World | 1998 | 2017 | Brazil | Editora Tambor | Nintendo related | |\n| Official Dreamcast Magazine (UK) | 1999 | 2001 | United Kingdom | Dennis Publishing | UK Dreamcast related topics | |\n| Official Dreamcast Magazine (US) | 1999 | 2001 | United States | Imagine Media | US Dreamcast related topics | |\n| Official Nintendo Magazine (UK) | 2006 | 2014 | United Kingdom | Future Publishing | UK Nintendo related topics | |\n| Official Nintendo Magazine (Australia) | 2008 | 2013 | Australia, New Zealand | Future Publishing | Australia & New Zealand Nintendo related topics | |\n| Official PlayStation Magazine (Australia) | 2007 | | Australia | Citrus Media | Australian PlayStation related topics | |\n| Official UK PlayStation Magazine | 1995 | 2004 | United Kingdom | Future Plc | UK PlayStation related topics | |\n| Official U.S. PlayStation Magazine | 1997 | 2007 | United States | Ziff Davis | US PlayStation related topics, succeeded by Future's PlayStation: The Official Magazine | |\n| Official Xbox Magazine | 2001 | | United States | Future US | Xbox related topics | |\n| Oyungezer | 2007 | | Turkey | Seti Publishing | PC, PS3, Xbox 360, Wii, PSP, Nintendo DS | |\n| Page 6 | 1982 | 1998 | United Kingdom | Page 6 Publishing | The Atari 8-bit range and Atari ST | |\n| Personal Computer Games | 1983 | 1985 | United Kingdom | VNU | PC games | |\n| PC Gamer | 1993 | | United Kingdom United States | Future Publishing | PC games | |\n| PC Games | 1992 | | Germany | Computec Media AG | PC games | |\n| PC Accelerator | 1998 | 2000 | United States | Imagine Media | Men's magazine-style PC games coverage | |\n| PC Mania | 1998 | 2009 | Bulgaria | PC Mania | PC games | |\n| PC Zone | 1993 | 2010 | United Kingdom | Future plc | PC games | |\n| Pelaaja | 2002 | | Finland | H-Town Oy | Finnish gaming magazine. | |\n| Pelit | 1992 | | Finland | Fokus Media Finland Oy | The oldest and most popular videogame magazine of Finland. | |\n| Planet PC | 1999 | 2001 | United Kingdom | ? | PC games | |\n| Play | 1994 | 2013 | People's Republic of China | Science Popularization Publication | China's first PC-gaming-specific magazine. | |\n| Play Meter | 1974 | 2018 | United States | Skybird Publishing | Coin-op and arcade games. | |\n| Player One | 1990 | 2000 | France | Média Système Édition | Console games | |\n| PlayStation Official Magazine (Italy) (Previously: PlayStation Magazine Ufficiale [-2012]) | 2002 | | Italy | Play Media Company (1996-2012) Lunasia Edizioni (2013-) | Italian PlayStation related topics | |\n| PlayStation Official Magazine (UK) | 2006 | | United Kingdom | Future Publishing | UK PlayStation related topics | |\n| PlayStation: The Official Magazine | 2007 | 2012 | United States | Future US | PlayStation related topics, successor to Ziff Davis' OPM upon discontiuation of PSM | |\n| Power Unlimited | 1993 | | The Netherlands | VNU Media (1993-2007) HUB Uitgevers (2007-2013) Reshift Digital (2013-) | Dutch gaming magazine | |\n| PSM: Independent PlayStation Magazine (PSM: 100% Independent PlayStation 2 Magazine [2000-2005] PSM: 100% Independent PlayStation Magazine [1997-2000]) | 1997 | 2007 | United States | Imagine Media (1998-2003) Future Network USA (2003-2005) Future US (2005-2007) | PlayStation family news | |\n| PSM3 | 2000 | 2012 | United Kingdom | Future Publishing | Sony video game consoles and PlayStation games | |\n| PNM (Pure Nintendo) | 2011 | | United States | MagCloud/Pure Media LLC | All things Nintendo related | |\n| Retro Gamer | 2004 | | United Kingdom | Live Publishing (2004–2005) Imagine Publishing (2005–2016) Future Publishing (2016–) | Retro games from multiple platforms, often via an Emulator | |\n| Secret Service | 1993 | 2001 | Poland | ProScript | A Polish game magazine, Video games - all platforms | |\n| Secret Service | 2014 | 2014 | Poland | Idea-Ahead | A Polish game magazine, Video games - all platforms | |\n| Sega Force | 1992 | 1993 | United Kingdom | Europress Impact | Sega games magazine | |\n| Sega Power | 1989 | 1997 | United Kingdom | ? | ? | |\n| Sega Saturn Magazine | 1994 | 1998 | United Kingdom | ? | ? | |\n| Sega Visions | 1990 | 1995 | United States | Sega of America (1987–89) Sega/The Communique Group (1990–92) Sega/Infotainment World (1992–95) | Official Sega magazine, competed with Nintendo Power | |\n| Sinclair User | 1982 | 1993 | United Kingdom | ? | Sinclair Spectrum | |\n| SKOAR! | 2003 | 2017 | India | Jasubhai Digital Media Pvt. Ltd. | An Indian game magazine | |\n| Świat Gier Komputerowych | 1992 | 2003 | Poland | ? | Polish video game magazine | |\n| The Games Machine | 1988 | | Italy | Aktia | Italian PC Game magazine. PC and Console gaming online. | |\n| Tilt | 1982 | 1994 | France | Editions Mondiales S.A. | PC and Console gaming | |\n| Tips and Tricks | 1995 | 2007 | United States | LFP (Larry Flynt Publications) | Video game strategy guides, codes and walkthroughs | |\n| Total! | 1993 | 2000 | United Kingdom | MVL-Verlag (1993-1995) X-Plain Verlag (1996-2000) | Nintendo games; brand licensed from UK magazine, but independent content | |\n| Videogaming Illustrated | 1982 | 1983 | United States | Ion International, Inc. | Video games | |\n| Xbox World | 2003 | 2012 | United Kingdom | Future Publishing | Xbox video game consoles and Xbox games | |\n| Your Sinclair | 1984 | 1993 | United Kingdom | Dennis Publishing (1984-1990) Future Publishing (1990-1993) | Sinclair Spectrum | |\n| Zzap!64 | 1985 | 1992 | United Kingdom | Newsfield Publications (1985-1991) Europress Impact (1991-1992) | Commodore 64 games | |" + }, + { + "from": "human", + "value": "Help me finish a table-to-text task. You need to produce a one-sentence description of the highlighted table cells according to the provided table and its related information.\nTable title: List of video game magazines\nSection title: List" + }, + { + "from": "gpt", + "value": "Donya ye Bazi was an Iranian games magazine." + } + ] + }, + { + "id": "table_instructV_multi_round_17781", + "image": "table_instructV/images/Rotowire_train_table_264.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wizards | Washington | 109 | 28 | 31 | 27 | 23 | 26 | 38 | 14 | 51 | 87 | 45 | 11 | 14 | | | | |\n| Hornets | Charlotte | 101 | 27 | 26 | 22 | 26 | 23 | 51 | 17 | 42 | 81 | 30 | 15 | 11 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| John Wall | 42 | 27 | 4 | 12 | 10-21 | 48% | 2-5 | 40% | 5-6 | 83% | 3 | 8 | 1 | 0 | 4 | 1 | G | Washington |\n| Garrett Temple | 35 | 21 | 5 | 3 | 7-9 | 78% | 2-3 | 67% | 5-7 | 71% | 2 | 1 | 0 | 0 | 5 | 2 | G | Washington |\n| Jared Dudley | 41 | 19 | 9 | 4 | 7-10 | 70% | 3-5 | 60% | 2-2 | 100% | 2 | 0 | 0 | 0 | 9 | 3 | F | Washington |\n| Marcin Gortat | 38 | 18 | 6 | 1 | 7-16 | 44% | 0-0 | 0% | 4-4 | 100% | 1 | 4 | 2 | 3 | 3 | 1 | C | Washington |\n| Kelly Oubre Jr. | 22 | 8 | 5 | 0 | 3-5 | 60% | 2-2 | 100% | 0-0 | 0% | 0 | 0 | 1 | 1 | 4 | 4 | F | Washington |\n| Ramon Sessions | 23 | 7 | 5 | 1 | 3-8 | 38% | 0-1 | 0% | 1-1 | 100% | 0 | 0 | 0 | 1 | 4 | 1 | N/A | Washington |\n| Kris Humphries | 16 | 5 | 4 | 0 | 2-3 | 67% | 0-0 | 0% | 1-1 | 100% | 0 | 0 | 0 | 0 | 4 | 1 | N/A | Washington |\n| Gary Neal | 22 | 4 | 0 | 5 | 1-7 | 14% | 0-4 | 0% | 2-2 | 100% | 2 | 1 | 0 | 0 | 0 | 1 | N/A | Washington |\n| Otto Porter | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| DeJuan Blair | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Drew Gooden | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Ryan Hollins | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Kemba Walker | 41 | 18 | 3 | 2 | 6-18 | 33% | 1-7 | 14% | 5-5 | 100% | 3 | 4 | 0 | 0 | 3 | 3 | G | Charlotte |\n| Jeremy Lin | 36 | 15 | 6 | 7 | 6-13 | 46% | 2-2 | 100% | 1-1 | 100% | 0 | 3 | 0 | 1 | 5 | 2 | N/A | Charlotte |\n| Nicolas Batum | 32 | 14 | 6 | 8 | 5-12 | 42% | 1-7 | 14% | 3-4 | 75% | 3 | 4 | 1 | 0 | 6 | 1 | G | Charlotte |\n| Cody Zeller | 26 | 11 | 7 | 0 | 5-9 | 56% | 0-0 | 0% | 1-2 | 50% | 1 | 1 | 1 | 4 | 3 | 3 | C | Charlotte |\n| PJ Hairston | 19 | 10 | 6 | 2 | 3-6 | 50% | 2-3 | 67% | 2-2 | 100% | 0 | 1 | 0 | 3 | 3 | 1 | F | Charlotte |\n| Marvin Williams | 34 | 9 | 9 | 1 | 4-14 | 29% | 1-5 | 20% | 0-0 | 0% | 1 | 1 | 1 | 6 | 3 | 3 | F | Charlotte |\n| Spencer Hawes | 18 | 9 | 4 | 2 | 4-8 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 1 | 3 | 1 | N/A | Charlotte |\n| Jeremy Lamb | 12 | 9 | 4 | 0 | 4-8 | 50% | 1-4 | 25% | 0-0 | 0% | 0 | 0 | 0 | 1 | 3 | 3 | N/A | Charlotte |\n| Frank Kaminsky | 19 | 6 | 5 | 1 | 2-4 | 50% | 1-3 | 33% | 1-2 | 50% | 0 | 0 | 1 | 2 | 3 | 2 | N/A | Charlotte |\n| Tyler Hansbrough | 4 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 1 | N/A | Charlotte |\n| Al Jefferson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Troy Daniels | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Brian Roberts | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |" + }, + { + "from": "human", + "value": "Based on the shown data statistics of an NBA game on 19/12/2015, give me a detailed summary for this game." + }, + { + "from": "gpt", + "value": "The Washington Wizards (11-14) defeated the Charlotte Hornets 109-101 on Saturday. Ever since Bradley Beal was diagnosed with the initial stages of a stress fracture in his lower right fibula on December 12, the Wizards have been even more reliant than usual on All-Star point guard John Wall. The 25-year-old has responded well with 20-and-26-point efforts in two of the three games since, but his own health was in question heading into Saturday 's contest. Wall had sprained an ankle in Friday 's practice, and there had been some doubt shortly thereafter as to whether he 'd be healthy enough to take the court. With Otto Porter already ruled out for the game with a thigh bruise, the Wizards were facing the grim possibility of taking on a talented Hornets squad without three starters. However, Wall answered the bell and shook off the ankle tweak to post his fifth straight double-double performance. He amassed 27 points, 12 assists, four rebounds, three steals and a block over 42 outstanding minutes to lead Washington to an important Eastern Conference victory. Charlotte received a balance offensive effort from their starters, with Kemba Walker leading the way with 18 points, three rebounds, two assists and three steals. Nicolas Batum, who 'd missed Charlotte 's last game with an illness, came back to contribute across the stat sheet, tallying 14 points, eight assists, six rebounds, three steals and a block. Cody Zeller and P.J. Hairston were the other two starters in double digits, with 11 and 10 points, respectively. Marvin Williams was the only Hornets starter to score under ten points, but still came within a point and an assist of a double-double. Jeremy Lin followed up his stellar 35-point effort as a starter in Batum 's stead on Thursday with a 15-point outing that paced the Hornets bench. The Hornets fell to 15-11 and are now in a second-place tie with the Orlando Magic in the Eastern Conference 's Southeast Division. They travel to Houston to face the Rockets on Monday. In addition to Wall 's memorable performance, the Wizards also got quality play from the fill-ins for their two injured starters. Kelly Oubre, Jr. did a solid job replacing Otto Porter for the evening, managing eight points, five rebounds and a block over 22 minutes. Meanwhile, Garrett Temple, who 'd turned in sub-par efforts in Bradley Beal 's stead in the first three games as his replacement, exploded for a season-high 21 points (on a season-best 78 shooting percentage from the field), five rebounds, three assists and two blocks. Jared Dudley (19 points, nine rebounds, four assists, two steals) and Marcin Gortat (18 points, six rebounds, an assist, a steal and four blocks) rounded out what was an outstanding night for the Washington starters. With such productive outings from their front-line players, the Wizards only needed 16 points from their bench in the victory. Washington improved to 11-14 but remains in last place in the Eastern Conference 's Southeast Division. They face off against the Sacramento Kings at home on Monday." + } + ] + }, + { + "id": "table_instructV_multi_round_17920", + "image": "table_instructV/images/Rotowire_train_table_3312.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hawks | Atlanta | 102 | 30 | 21 | 21 | 30 | 23 | 53 | 11 | 41 | 77 | 19 | 1 | 0 | | | | |\n| Celtics | Boston | 101 | 19 | 15 | 31 | 36 | 27 | 50 | 10 | 36 | 84 | 31 | 0 | 1 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hawks | | | | | | | | | | | | | | | | | | |\n| Al Horford | 37 | 24 | 12 | 2 | 8-17 | 47% | 1-2 | 50% | 7-8 | 88% | 0 | 2 | 2 | 5 | 7 | 3 | C | Atlanta |\n| Kent Bazemore | 34 | 23 | 8 | 0 | 7-13 | 54% | 1-5 | 20% | 8-10 | 80% | 1 | 0 | 2 | 0 | 8 | 0 | F | Atlanta |\n| Jeff Teague | 36 | 23 | 4 | 12 | 7-15 | 47% | 0-2 | 0% | 9-11 | 82% | 1 | 2 | 0 | 1 | 3 | 4 | G | Atlanta |\n| Mike Scott | 18 | 14 | 5 | 0 | 6-9 | 67% | 2-4 | 50% | 0-0 | 0% | 0 | 1 | 0 | 3 | 2 | 3 | N/A | Atlanta |\n| Paul Millsap | 37 | 14 | 7 | 3 | 6-11 | 55% | 1-2 | 50% | 1-1 | 100% | 1 | 0 | 3 | 2 | 5 | 2 | F | Atlanta |\n| Thabo Sefolosha | 22 | 2 | 7 | 2 | 0-3 | 0% | 0-1 | 0% | 2-4 | 50% | 1 | 3 | 1 | 1 | 6 | 2 | N/A | Atlanta |\n| Kyle Korver | 32 | 2 | 9 | 1 | 1-10 | 10% | 0-7 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 8 | 2 | G | Atlanta |\n| Tim Hardaway Jr. | 8 | 0 | 0 | 0 | 0-2 | 0% | 0-1 | 0% | 0-1 | 0% | 0 | 0 | 1 | 0 | 0 | 1 | N/A | Atlanta |\n| Kirk Hinrich | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Atlanta |\n| Dennis Schroder | 11 | 0 | 0 | 2 | 0-6 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 2 | N/A | Atlanta |\n| Mike Muscala | 4 | 0 | 1 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Atlanta |\n| Kris Humphries | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Lamar Patterson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Isaiah Thomas | 37 | 27 | 3 | 8 | 8-21 | 38% | 4-10 | 40% | 7-9 | 78% | 1 | 3 | 1 | 1 | 2 | 4 | G | Boston |\n| Avery Bradley | 33 | 18 | 3 | 1 | 7-16 | 44% | 1-7 | 14% | 3-3 | 100% | 1 | 1 | 1 | 2 | 1 | 2 | G | Boston |\n| Marcus Smart | 29 | 15 | 5 | 2 | 5-10 | 50% | 3-6 | 50% | 2-3 | 67% | 2 | 1 | 1 | 3 | 2 | 4 | N/A | Boston |\n| Jae Crowder | 33 | 14 | 10 | 4 | 5-16 | 31% | 2-7 | 29% | 2-2 | 100% | 0 | 2 | 0 | 1 | 9 | 4 | F | Boston |\n| Evan Turner | 34 | 10 | 8 | 5 | 4-13 | 31% | 0-1 | 0% | 2-2 | 100% | 1 | 1 | 1 | 3 | 5 | 3 | N/A | Boston |\n| Jared Sullinger | 19 | 9 | 6 | 3 | 4-14 | 29% | 1-1 | 100% | 0-0 | 0% | 1 | 0 | 0 | 2 | 4 | 6 | C | Boston |\n| Amir Johnson | 22 | 4 | 8 | 1 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 2 | 2 | 6 | 4 | F | Boston |\n| Kelly Olynyk | 12 | 2 | 1 | 1 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 0 | 2 | N/A | Boston |\n| Jonas Jerebko | 17 | 2 | 5 | 2 | 1-6 | 17% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 5 | 3 | N/A | Boston |\n| RJ Hunter | 3 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Boston |\n| Terry Rozier | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Jordan Mickey | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Tyler Zeller | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |" + }, + { + "from": "human", + "value": "Reconstruct the table in this picture as a latex-style table in text." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|}\n\\hline\n TEAM-NAME & CITY & PTS & PTS\\_QTR1 & PTS\\_QTR2 & PTS\\_QTR3 & PTS\\_QTR4 & AST & REB & TOV & FG\\_PCT & FT\\_PCT & FG3\\_PCT & WINS & LOSSES & & & & \\\\\n\\hline\n Hawks & Atlanta & 102 & 30 & 21 & 21 & 30 & 23 & 53 & 11 & 41 & 77 & 19 & 1 & 0 & & & & \\\\\n\\hline\n Celtics & Boston & 101 & 19 & 15 & 31 & 36 & 27 & 50 & 10 & 36 & 84 & 31 & 0 & 1 & & & & \\\\\n\\hline\n & & & & & & & & & & & & & & & & & & \\\\\n\\hline\n PLAYER\\_NAME & MIN & PTS & REB & AST & FG & FG\\_PCT & FG3 & FG3\\_PCT & FT & FT\\_PCT & STL & TO & BLK & OREB & DREB & PF & START\\_POSITION & TEAM\\_CITY \\\\\n\\hline\n Hawks & & & & & & & & & & & & & & & & & & \\\\\n\\hline\n Al Horford & 37 & 24 & 12 & 2 & 8-17 & 47\\% & 1-2 & 50\\% & 7-8 & 88\\% & 0 & 2 & 2 & 5 & 7 & 3 & C & Atlanta \\\\\n\\hline\n Kent Bazemore & 34 & 23 & 8 & 0 & 7-13 & 54\\% & 1-5 & 20\\% & 8-10 & 80\\% & 1 & 0 & 2 & 0 & 8 & 0 & F & Atlanta \\\\\n\\hline\n Jeff Teague & 36 & 23 & 4 & 12 & 7-15 & 47\\% & 0-2 & 0\\% & 9-11 & 82\\% & 1 & 2 & 0 & 1 & 3 & 4 & G & Atlanta \\\\\n\\hline\n Mike Scott & 18 & 14 & 5 & 0 & 6-9 & 67\\% & 2-4 & 50\\% & 0-0 & 0\\% & 0 & 1 & 0 & 3 & 2 & 3 & N/A & Atlanta \\\\\n\\hline\n Paul Millsap & 37 & 14 & 7 & 3 & 6-11 & 55\\% & 1-2 & 50\\% & 1-1 & 100\\% & 1 & 0 & 3 & 2 & 5 & 2 & F & Atlanta \\\\\n\\hline\n Thabo Sefolosha & 22 & 2 & 7 & 2 & 0-3 & 0\\% & 0-1 & 0\\% & 2-4 & 50\\% & 1 & 3 & 1 & 1 & 6 & 2 & N/A & Atlanta \\\\\n\\hline\n Kyle Korver & 32 & 2 & 9 & 1 & 1-10 & 10\\% & 0-7 & 0\\% & 0-0 & 0\\% & 0 & 2 & 0 & 1 & 8 & 2 & G & Atlanta \\\\\n\\hline\n Tim Hardaway Jr. & 8 & 0 & 0 & 0 & 0-2 & 0\\% & 0-1 & 0\\% & 0-1 & 0\\% & 0 & 0 & 1 & 0 & 0 & 1 & N/A & Atlanta \\\\\n\\hline\n Kirk Hinrich & 0 & 0 & 0 & 0 & 0-0 & 0\\% & 0-0 & 0\\% & 0-0 & 0\\% & 0 & 0 & 0 & 0 & 0 & 0 & N/A & Atlanta \\\\\n\\hline\n Dennis Schroder & 11 & 0 & 0 & 2 & 0-6 & 0\\% & 0-2 & 0\\% & 0-0 & 0\\% & 0 & 1 & 0 & 0 & 0 & 2 & N/A & Atlanta \\\\\n\\hline\n Mike Muscala & 4 & 0 & 1 & 1 & 0-0 & 0\\% & 0-0 & 0\\% & 0-0 & 0\\% & 0 & 0 & 0 & 0 & 1 & 1 & N/A & Atlanta \\\\\n\\hline\n Kris Humphries & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Atlanta \\\\\n\\hline\n Lamar Patterson & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Atlanta \\\\\n\\hline\n Celtics & & & & & & & & & & & & & & & & & & \\\\\n\\hline\n Isaiah Thomas & 37 & 27 & 3 & 8 & 8-21 & 38\\% & 4-10 & 40\\% & 7-9 & 78\\% & 1 & 3 & 1 & 1 & 2 & 4 & G & Boston \\\\\n\\hline\n Avery Bradley & 33 & 18 & 3 & 1 & 7-16 & 44\\% & 1-7 & 14\\% & 3-3 & 100\\% & 1 & 1 & 1 & 2 & 1 & 2 & G & Boston \\\\\n\\hline\n Marcus Smart & 29 & 15 & 5 & 2 & 5-10 & 50\\% & 3-6 & 50\\% & 2-3 & 67\\% & 2 & 1 & 1 & 3 & 2 & 4 & N/A & Boston \\\\\n\\hline\n Jae Crowder & 33 & 14 & 10 & 4 & 5-16 & 31\\% & 2-7 & 29\\% & 2-2 & 100\\% & 0 & 2 & 0 & 1 & 9 & 4 & F & Boston \\\\\n\\hline\n Evan Turner & 34 & 10 & 8 & 5 & 4-13 & 31\\% & 0-1 & 0\\% & 2-2 & 100\\% & 1 & 1 & 1 & 3 & 5 & 3 & N/A & Boston \\\\\n\\hline\n Jared Sullinger & 19 & 9 & 6 & 3 & 4-14 & 29\\% & 1-1 & 100\\% & 0-0 & 0\\% & 1 & 0 & 0 & 2 & 4 & 6 & C & Boston \\\\\n\\hline\n Amir Johnson & 22 & 4 & 8 & 1 & 2-3 & 67\\% & 0-0 & 0\\% & 0-0 & 0\\% & 0 & 1 & 2 & 2 & 6 & 4 & F & Boston \\\\\n\\hline\n Kelly Olynyk & 12 & 2 & 1 & 1 & 1-3 & 33\\% & 0-0 & 0\\% & 0-0 & 0\\% & 0 & 1 & 0 & 1 & 0 & 2 & N/A & Boston \\\\\n\\hline\n Jonas Jerebko & 17 & 2 & 5 & 2 & 1-6 & 17\\% & 0-3 & 0\\% & 0-0 & 0\\% & 0 & 0 & 0 & 0 & 5 & 3 & N/A & Boston \\\\\n\\hline\n RJ Hunter & 3 & 0 & 1 & 0 & 0-0 & 0\\% & 0-0 & 0\\% & 0-0 & 0\\% & 0 & 0 & 0 & 0 & 1 & 0 & N/A & Boston \\\\\n\\hline\n Terry Rozier & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Boston \\\\\n\\hline\n Jordan Mickey & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Boston \\\\\n\\hline\n Tyler Zeller & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Boston \\\\\n\\hline\n\\end{tabular}" + }, + { + "from": "human", + "value": "With the box-score and line-score data from the NBA game between Hawks and Celtics on 04/16/2016, please construct a detailed summary that reflects the game's performance and pivotal moments." + }, + { + "from": "gpt", + "value": "The Atlanta Hawks defeated the Boston Celtics, 102-101, in Game 1 of the Eastern Conference first-round playoffs on Saturday at Philips Arena. This wasn’t the prettiest game by any means, but the Hawks held off a feisty Celtics bunch for a crucial Game 1 win. Boston shot just 23 percent in a 34-point first half and that ultimately built too deep of a hole to climb out of. The defense was key for Atlanta, as they held Boston to 36 percent shooting from the field and stifled for the majority of the game. Boston did outscore Atlanta 67 to 51 in the second half, but it simply wasn’t enough. The Hawks also took 35 free-throws compared to the Celtics 19, as Boston simply couldn’t stop fouling. Boston played great in the second half, but a terrible first half held them back in this loss. Isaiah Thomas led the team with 27 points and also dished out eight assists in the loss. Avery Bradley had 18 points through three quarters, but had to leave early with what appeared to be a hamstring injury. Jae Crowder recorded a double-double in a 14-point, 10-rebound outing. Atlanta didn’t play their best game, but they escaped with a narrow win. Al Horford led the team with 24 points, while also snatching down 12 rebounds. Jeff Teague was fantastic as well, accumulating 23 points, 12 assists and four rebounds in the win. Kent Bazemore had one of his best games of the season, scoring 23 points and grabbing eight rebounds. Game 2 will be on Tuesday in Atlanta with the Hawks being a projected five-point favorite." + }, + { + "from": "human", + "value": "I need you to conduct the following task:\nGiven this table image, find all merged table cells and return merged regions with the JSON {'top-left':(x, y), 'bottom-right':(z, w)}, where (x, y) and (z, w) indicate the (row_id, column_id) of top-left and bottom-right cells in the merged regions, respectively. You should remember that row id and column id start from 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + } + ] + }, + { + "id": "table_instructV_multi_round_17929", + "image": "table_instructV/images/TABMWP_3273.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 13 | 1 |\n| 14 | 9 |\n| 15 | 18 |" + }, + { + "from": "human", + "value": "Look at the table and break down the following math word problem, step by step. Finally, your final answer should be in the JSON format of {\"answer\": \"\"}.\nThe table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear" + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{9 - 1}{14 - 13}\n = \\frac{8}{1}\n = 8\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the first row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{18 - 1}{15 - 13}\n = \\frac{17}{2}\n = 8\\frac{1}{2}\nThe rate of change is not the same for each pair of points. So, the function does not have a constant rate of change.\nThe function is nonlinear.\n\nThus, the final answer is {\"answer\": \"nonlinear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_17992", + "image": "table_instructV/images/TABMWP_3280.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Number of roofs | Number of parakeets |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | ? |" + }, + { + "from": "human", + "value": "Give you a table image, answer this question. Let's think step by step. Format the ultimate answer as a JSON, using the structure {\"answer\": \"\"}.\nEach roof has 5 parakeets. How many parakeets are on 4 roofs? (Unit: parakeets)" + }, + { + "from": "gpt", + "value": "Count by fives. Use the chart: there are 20 parakeets on 4 roofs.\n\nSo, the answer is {\"answer\": \"20\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_18091", + "image": "table_instructV/images/TabFact_2-143562-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| rank | nation | gold | silver | bronze | total |\n| --- | --- | --- | --- | --- | --- |\n| 1 | norway (host nation) | 7 | 3 | 6 | 16 |\n| 2 | united states | 4 | 6 | 1 | 11 |\n| 3 | finland | 3 | 4 | 2 | 9 |\n| 4 | germany | 3 | 2 | 2 | 7 |\n| 5 | austria | 2 | 4 | 2 | 8 |\n| 6 | canada | 1 | 0 | 1 | 2 |\n| 6 | italy | 1 | 0 | 1 | 2 |\n| 8 | great britain | 1 | 0 | 0 | 1 |\n| 9 | netherlands | 0 | 3 | 0 | 3 |\n| 10 | sweden | 0 | 0 | 4 | 4 |" + }, + { + "from": "human", + "value": "Give you a table titled '1952 winter olympics' and a statement which is 'no country , even the host nation of norway , earned more than 16 total medals', select the correct relation between the table and the statement based on the table information. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\n\n(A) substantiates (the statement is true)\n(B) disproves (the statement is false)" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it substantiates the statement. So, the answer is {\"answer\": \"substantiates\"}." + }, + { + "from": "human", + "value": "According to the information in the given table regarding '1952 winter olympics', tell me whether the statement is substantiated or contradicted by the table. Show your final answer in the JSON format {\"answer\": \"\"}.\nthe rank that has a bronze less than 1 , and a silver larger than 0 , and a nation of norway (host nation) , and a total larger than 16 is zero" + }, + { + "from": "gpt", + "value": "Based on the evidence presented in the table, we can conclude that the statement is not true. Therefore, the answer is {\"answer\": \"contradicted\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_18146", + "image": "table_instructV/images/TabFact_2-1252146-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| year | entrant | chassis | engine | points |\n| --- | --- | --- | --- | --- |\n| 1955 | ray crawford | kurtis kraft 500b | offenhauser l4 | 0 |\n| 1956 | ray crawford | kurtis kraft 500b | offenhauser l4 | 0 |\n| 1957 | meguiar 's mirror / crawford | kurtis kraft 500 g | offenhauser l4 | 0 |\n| 1958 | meguiar 's mirror / crawford | kurtis kraft 500 g | offenhauser l4 | 0 |\n| 1959 | meguiar 's mirror / crawford | elder | offenhauser l4 | 0 |" + }, + { + "from": "human", + "value": "Examine whether the subsequent sentence is affirmed or challenged by the given table titled 'ray crawford'. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\n1957.0 / 1958.0 ray crawford did the elder chassis" + }, + { + "from": "gpt", + "value": "Based on the table information, the sentence is not true. Thus, the answer is {\"answer\": \"challenged\"}." + }, + { + "from": "human", + "value": "Examine the table titled 'ray crawford' and judge whether the table affirms or contradicts the following hypothesis. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nin 1957 and 1958 , meguiar 's mirror / crawford had a kurtis kraft 500 g chassis" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the hypothesis. Consequently, the answer is {\"answer\": \"affirms\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_18173", + "image": "table_instructV/images/TabFact_2-1094987-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| goal | date | venue | score | result | competition |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 16 february 2000 | macau , china | 9 - 0 | won | asian cup 2000 qual |\n| 2 | 11 june 2000 | miyagi , japan | 1 - 1 | draw | friendly |\n| 3 | 16 august 2000 | hiroshima , japan | 3 - 1 | won | friendly |\n| 4 | 2 may 2002 | kobe , japan | 3 - 3 | draw | friendly |\n| 5 | 2 may 2002 | kobe , japan | 3 - 3 | draw | friendly |\n| 6 | 28 march 2003 | tokyo , japan | 2 - 2 | draw | friendly |\n| 7 | 18 june 2003 | paris , france | 3 - 0 | won | confederations cup 2003 group stage |\n| 8 | 18 june 2003 | paris , france | 3 - 0 | won | confederations cup 2003 group stage |\n| 9 | 20 june 2003 | saint - étienne , france | 1 - 2 | lost | confederations cup 2003 group stage |\n| 10 | 9 june 2004 | saitama , japan | 7 - 0 | won | world cup 2006 qual |\n| 11 | 20 july 2004 | chongqing , china | 1 - 0 | won | asian cup 2004 group stage |\n| 12 | 24 july 2004 | chongqing , china | 4 - 1 | won | asian cup 2004 group stage |\n| 13 | 22 june 2005 | cologne , germany | 2 - 2 | draw | confederations cup 2005 group stage |\n| 14 | 7 september 2005 | miyagi , japan | 5 - 4 | won | friendly |\n| 15 | 8 october 2005 | riga , latvia | 2 - 2 | draw | friendly |\n| 16 | 12 june 2006 | kaiserslautern , germany | 1 - 3 | lost | world cup 2006 group stage |\n| 17 | 13 july 2007 | hanoi , vietnam | 3 - 1 | won | 2007 afc asian cup group stage |\n| 18 | 16 july 2007 | hanoi , vietnam | 4 - 1 | won | 2007 afc asian cup group stage |\n| 19 | 11 september 2007 | klagenfurt , austria | 4 - 3 | won | friendly |\n| 20 | 11 september 2007 | klagenfurt , austria | 4 - 3 | won | friendly |\n| 21 | 2 june 2008 | yokohama , japan | 3 - 0 | won | world cup 2010 qual |\n| 22 | 6 september 2008 | riffa , bahrain | 3 - 2 | won | world cup 2010 qual |\n| 23 | 28 march 2009 | saitama , japan | 1 - 0 | won | world cup 2010 qual |\n| 24 | 18 november 2009 | hong kong stadium , hong kong | 4 - 0 | won | 2011 afc asian cup qualification |" + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following statement is entailed or refuted by the table. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\ntable title:shunsuke nakamura\nstatement: goal 24 took place at hong kong stadium , hong kong on 18 november 2009" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the statement is valid. Hence, the answer is {\"answer\": \"entailed\"}." + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following claim is upheld or challenged by the table. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\ntable title:shunsuke nakamura\nclaim: goal 24 took place before 18 november 2009" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the claim is false. So, the answer is {\"answer\": \"challenged\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_18196", + "image": "table_instructV/images/Rotowire_train_table_1778.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bucks | Milwaukee | 90 | 31 | 22 | 20 | 17 | 26 | 45 | 13 | 44 | 54 | 31 | 38 | 39 | | | | |\n| Magic | Orlando | 97 | 22 | 29 | 21 | 25 | 23 | 45 | 12 | 47 | 69 | 38 | 24 | 53 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Bucks | | | | | | | | | | | | | | | | | | |\n| Ersan Ilyasova | 27 | 18 | 8 | 2 | 7-13 | 54% | 2-2 | 100% | 2-5 | 40% | 0 | 1 | 0 | 3 | 5 | 2 | F | Milwaukee |\n| Khris Middleton | 34 | 15 | 3 | 2 | 6-16 | 38% | 0-3 | 0% | 3-4 | 75% | 3 | 0 | 0 | 0 | 3 | 4 | G | Milwaukee |\n| O.J. Mayo | 32 | 14 | 2 | 1 | 6-10 | 60% | 2-5 | 40% | 0-1 | 0% | 0 | 2 | 1 | 0 | 2 | 3 | N/A | Milwaukee |\n| John Henson | 25 | 10 | 8 | 4 | 5-9 | 56% | 0-0 | 0% | 0-1 | 0% | 0 | 1 | 3 | 5 | 3 | 1 | N/A | Milwaukee |\n| Giannis Antetokounmpo | 28 | 8 | 3 | 0 | 3-12 | 25% | 0-0 | 0% | 2-2 | 100% | 0 | 2 | 1 | 0 | 3 | 5 | F | Milwaukee |\n| Michael Carter-Williams | 34 | 8 | 10 | 9 | 4-14 | 29% | 0-1 | 0% | 0-0 | 0% | 2 | 4 | 0 | 3 | 7 | 2 | G | Milwaukee |\n| Jared Dudley | 22 | 7 | 2 | 0 | 3-4 | 75% | 1-2 | 50% | 0-0 | 0% | 1 | 1 | 1 | 0 | 2 | 1 | N/A | Milwaukee |\n| Jerryd Bayless | 16 | 6 | 4 | 2 | 3-7 | 43% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 3 | 0 | N/A | Milwaukee |\n| Zaza Pachulia | 23 | 4 | 5 | 6 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 2 | 3 | 1 | C | Milwaukee |\n| Miles Plumlee | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Tyler Ennis | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Johnny O'Bryant III | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Tobias Harris | 41 | 23 | 10 | 2 | 8-15 | 53% | 5-9 | 56% | 2-3 | 67% | 1 | 2 | 3 | 1 | 9 | 0 | F | Orlando |\n| Nikola Vucevic | 34 | 20 | 7 | 5 | 10-17 | 59% | 0-0 | 0% | 0-1 | 0% | 0 | 3 | 0 | 2 | 5 | 5 | C | Orlando |\n| Victor Oladipo | 37 | 15 | 6 | 2 | 6-19 | 32% | 1-5 | 20% | 2-3 | 67% | 2 | 2 | 1 | 0 | 6 | 2 | G | Orlando |\n| Aaron Gordon | 29 | 10 | 12 | 1 | 5-6 | 83% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 2 | 4 | 8 | 0 | N/A | Orlando |\n| Elfrid Payton | 40 | 10 | 3 | 11 | 4-11 | 36% | 1-2 | 50% | 1-1 | 100% | 3 | 3 | 1 | 1 | 2 | 3 | G | Orlando |\n| Willie Green | 25 | 10 | 0 | 1 | 3-10 | 30% | 1-3 | 33% | 3-3 | 100% | 1 | 1 | 0 | 0 | 0 | 1 | N/A | Orlando |\n| Dewayne Dedmon | 20 | 5 | 5 | 0 | 2-3 | 67% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 3 | 4 | 1 | 1 | F | Orlando |\n| Andrew Nicholson | 15 | 4 | 2 | 1 | 2-5 | 40% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Orlando |\n| Ben Gordon | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Channing Frye | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Kyle O'Quinn | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Maurice Harkless | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Luke Ridnour | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |" + }, + { + "from": "human", + "value": "Utilizing the data from the box-score and line-score tables of the NBA game featuring Bucks versus Magic on 04/04/2015, craft a game report highlighting the key moments and statistics." + }, + { + "from": "gpt", + "value": "The Orlando Magic (24-53) snapped the Milwaukee Bucks’ (38-39) two-game winning streak with a 97-90 victory, propelling them to a two-game winning streak of their own and three games behind the Los Angeles Lakers for the fourth-worst record in the league. Coach James Borrego ran an eight-man rotation, and six of them scored at least 10 points. Rookie Aaron Gordon recorded his first career double-double, accumulating 10 points, a career-high 12 rebounds, two blocks, and one assist in 29 minutes. Both Borrego and Rookie of the Year contender Elfrid Payton were assessed a technical foul. Payton hit his lone free-throw attempt and sank a three-pointer, converting 88 percent of his free throws over the past nine contests. He added 10 points, 11 assists, three rebounds, three steals and one block. Victor Oladipo followed a Friday’s 4-of-19 performance with a 6-of-19 shooting display. Tobias Harris, former Buck, scored 23 points, corralled 10 rebounds, blocked three shots, dished two assists, nabbed a steal and hit five three-pointers in 41 minutes. The loss still gives the Bucks a two and a half game lead over the seven seed Brooklyn Nets with five games remaining. It also eliminates them from moving any higher than the six seed as the Washington Wizards hold a six-game lead. Giannis Antetokounmpo left briefly due to a nasal contusion and ended the game shooting 3-of-12. The shooting slump snapped a streak of 14 straight games scoring double figures. Michael Carter-Williams missed out on a triple-double, notching eight points, 10 rebounds, nine assists and two steals in 34 minutes. Ersan Ilyasova scored 11 of his team-high 18 points in the first quarter. John Henson blocked three shots in 25 minutes and scored at least 10 points for the third straight game. The Magic commence a three-game homestand Wednesday against the three seed Chicago Bulls. The Milwaukee Bucks conclude a two-game homestand Wednesday against the two seed Cleveland Cavaliers." + }, + { + "from": "human", + "value": "Please identify the row and column numbers of the table displayed in this image. Provide the final answer in the JSON structure, using the format {\"row_number\": \"m\", \"column_number\": \"n\"}." + }, + { + "from": "gpt", + "value": "This table has 32 rows and 19 columns. Thus, the final answer is {\"row_number\": \"32\", \"column_number\": \"19\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_18361", + "image": "table_instructV/images/TABMWP_9444.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Number of laundry baskets | Number of pairs of shorts |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | ? |" + }, + { + "from": "human", + "value": "Each laundry basket has 2 pairs of shorts. How many pairs of shorts are in 3 laundry baskets? (Unit: pairs of shorts)\n\nSolve the above problem using the table information. Provide a concluding answer in a JSON structure, using the format {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "Count by twos. Use the chart: there are 6 pairs of shorts in 3 laundry baskets.\n\nSo, the answer is {\"answer\": \"6\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_18384", + "image": "table_instructV/images/TabFact_2-12518301-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| rider | matches | rides | bonus pts | total points |\n| --- | --- | --- | --- | --- |\n| eric boocock | 34 | 145 | 15 | 342 |\n| dave younghusband | 33 | 143 | 15 | 324 |\n| eric boothroyd | 34 | 137 | 25 | 274 |\n| tommy roper | 15 | 56 | 19 | 102 |\n| bryan elliott | 33 | 125 | 39 | 197 |\n| dennis gavros | 23 | 76 | 20 | 92 |\n| bert kingston | 34 | 111 | 15 | 114 |\n| ray day | 7 | 19 | 3 | 19 |\n| clive hitch | 18 | 64 | 14 | 60 |\n| bob jameson | 7 | 15 | 2 | 11 |" + }, + { + "from": "human", + "value": "Determine the relationship between the table named 'none' and the hypothesis. Whether the table substantiates or challenges the given hypothesis? Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nhypothesis: ray day took zero ride to get 174 points in total with less than 3 bonus points" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it challenges the hypothesis. Hence, the answer is {\"answer\": \"challenges\"}." + }, + { + "from": "human", + "value": "Using the information in the table image about 'none', determine whether the next statement is upheld or contradicted by the table. Output the final answer as JSON in the format {\"answer\": \"\"}.\n\nray day took 19 rides to get 19 total points with 3 bonus points" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the statement is valid. Hence, the answer is {\"answer\": \"upheld\"}." + }, + { + "from": "human", + "value": "According to the table information regarding 'none', tell me whether the provided table confirms or disputes the claim. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nray day had less than 242 points in no more than 76 rides in 7 matches with more than 2 bonus points" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table disputes the validity of the claim. Therefore, the final answer: {\"answer\": \"disputes\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_18433", + "image": "table_instructV/images/Rotowire_train_table_1906.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 76ers | Philadelphia | 101 | 23 | 23 | 25 | 30 | 26 | 45 | 16 | 46 | 80 | 17 | 18 | 64 | | | | |\n| Heat | Miami | 105 | 29 | 35 | 11 | 30 | 22 | 42 | 16 | 44 | 75 | 39 | 37 | 45 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| JaKarr Sampson | 35 | 22 | 5 | 6 | 8-15 | 53% | 0-5 | 0% | 6-7 | 86% | 3 | 5 | 1 | 1 | 4 | 4 | G | Philadelphia |\n| Robert Covington | 29 | 19 | 4 | 2 | 4-14 | 29% | 2-9 | 22% | 9-10 | 90% | 1 | 1 | 2 | 2 | 2 | 3 | F | Philadelphia |\n| Hollis Thompson | 31 | 19 | 1 | 4 | 8-15 | 53% | 3-7 | 43% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 3 | N/A | Philadelphia |\n| Thomas Robinson | 26 | 13 | 10 | 4 | 5-7 | 71% | 0-0 | 0% | 3-3 | 100% | 2 | 6 | 0 | 1 | 9 | 3 | N/A | Philadelphia |\n| Glenn Robinson | 36 | 10 | 8 | 3 | 5-9 | 56% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 0 | 4 | 4 | 3 | G | Philadelphia |\n| Henry Sims | 40 | 10 | 11 | 3 | 5-10 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 4 | 7 | 4 | C | Philadelphia |\n| Jerami Grant | 41 | 8 | 6 | 4 | 3-13 | 23% | 0-6 | 0% | 2-5 | 40% | 0 | 2 | 1 | 1 | 5 | 1 | F | Philadelphia |\n| Ish Smith | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Isaiah Canaan | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Luc Mbah a Moute | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Nerlens Noel | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Jason Richardson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Furkan Aldemir | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Michael Beasley | 48 | 34 | 11 | 8 | 12-27 | 44% | 0-2 | 0% | 10-11 | 91% | 2 | 3 | 2 | 2 | 9 | 4 | C | Miami |\n| Zoran Dragic | 41 | 22 | 3 | 2 | 9-17 | 53% | 3-7 | 43% | 1-2 | 50% | 2 | 3 | 0 | 2 | 1 | 3 | G | Miami |\n| Henry Walker | 48 | 21 | 4 | 2 | 6-10 | 60% | 6-10 | 60% | 3-5 | 60% | 1 | 2 | 0 | 2 | 2 | 4 | F | Miami |\n| James Ennis III | 48 | 17 | 12 | 6 | 7-20 | 35% | 2-7 | 29% | 1-2 | 50% | 1 | 4 | 0 | 3 | 9 | 2 | F | Miami |\n| Tyler Johnson | 48 | 11 | 10 | 4 | 5-15 | 33% | 1-5 | 20% | 0-0 | 0% | 4 | 4 | 0 | 2 | 8 | 3 | G | Miami |\n| Udonis Haslem | 7 | 0 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 1 | N/A | Miami |\n| Mario Chalmers | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Chris Andersen | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Goran Dragic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Luol Deng | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Hassan Whiteside | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Dwyane Wade | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |" + }, + { + "from": "human", + "value": "In the context of a table, we can utilize the json format {'value': '', 'location': (row_id, column_id)} to express a cell's position, where both row and column id commence from 1. Examining the provided table image, identify the locations of the following cells using this format.\nValues to locate:\nCELL VALUE 1: '44';\nCELL VALUE 2: 'Robert Covington';\nCELL VALUE 3: '3-5';\nCELL VALUE 4: '2016';\nCELL VALUE 5: 'Tyler Johnson';\nCELL VALUE 6: '2014';\nCELL VALUE 7: 'goals';\nDenote the location as 'DOES NOT EXIST' if a cell does not exist in the table." + }, + { + "from": "gpt", + "value": "The coordinates of target cells are listed below.\nCELL LOCATION 1: {'value': '44', 'location': (3, 11)}\nCELL LOCATION 2: {'value': 'Robert Covington', 'location': (8, 1)}\nCELL LOCATION 3: {'value': '3-5', 'location': (23, 10)}\nCELL LOCATION 4: {'value': '2016', 'location': 'DOES NOT EXIST'}\nCELL LOCATION 5: {'value': 'Tyler Johnson', 'location': (25, 1)}\nCELL LOCATION 6: {'value': '2014', 'location': 'DOES NOT EXIST'}\nCELL LOCATION 7: {'value': 'goals', 'location': 'DOES NOT EXIST'}" + }, + { + "from": "human", + "value": "Taking into account the statistical tables from the NBA match between 76ers and Heat on 04/15/2015, how would you describe the game in a comprehensive summary that highlights its significant events and outcomes?" + }, + { + "from": "gpt", + "value": "The Miami Heat (37-45) defeated the Philadelphia 76ers (18-64) 105-101 on Wednesday at the Wells Fargo Center in Philadelphia. With both teams having already been eliminated from the playoffs, this game was more about giving the young and inexperienced players a chance to make an impression on the coaching staff in hopes of coming back with their team next season in a bigger and better role. As a team, the Heat finished at 44 percent from the field and 39 percent from the three-point line, while the Sixers went 46 percent from the floor but just 18 percent from deep. The Heat rested nearly their whole team in this game, with just six players seeing the court and four players not coming out of the game even once. Michael Beasley was one of those players who played the full 48 minutes Wednesday as a starter. He went off for a game-high of 34 points (12-27 FG, 0-2 3Pt, 10-11 FT), to go along with 11 rebounds and eight assists in a near triple-double effort. They were season-highs across the board for Beasley, who had n't even broken the 20-point mark yet this season. James Ennis also had a huge game, filling up the stat sheet like Beasley. Over 48 minutes, he recorded 17 points (7-20 FG, 2-7 3Pt, 1-2 FT), 12 rebounds and six assists, marking one of his best games of the season as well. Averaging just 5 points, 3 rebounds and 1 assists per game over the course of the season, this was a great finish for the forward. Both Zoran Dragic and Henry Walker were in the starting lineup as well and put up some points. Dragic finished with 22 points (9-17 FG, 3-7 3Pt, 1-2 FT) and two steals, while Walker chipped in with 21 points (6-10 3Pt, 3-5 FT) and four rebounds. Despite taking the loss, the Sixers still had some impressive performances of their own. Jakarr Sampson stood out once again. He recorded a team-high of 22 points (8-15 FG, 0-5 3Pt, 6-7 FT), while also adding five rebounds and six assists. Sampson has seen extended time here at the back end of the season, as he 's averaged 17 points and 6 rebounds over his last three games. Robert Covington really struggled with his shot, but got to the free throw line enough to score 19 points (4-14 FG, 2-9 3Pt, 9-10 FT), to go along with four rebounds and two blocked shots. After shooting over 40 percent from the field and scoring more than 20 points in his previous three games, this was somewhat of a let-down performance for Covington in the season finale. The Sixers also received a ton of production off their bench from the likes of Hollis Thompson and Thomas Robinson. Thompson finished with 19 points (8-15 FG, 3-7 3Pt) and four assists, while Robinson ended with 13 points (5-7 FG, 3-3 FT) and 10 rebounds. With both teams failing to make the playoffs, this marks the end of their respective seasons." + } + ] + }, + { + "id": "table_instructV_multi_round_18437", + "image": "table_instructV/images/Rotowire_train_table_67.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Grizzlies | Memphis | 115 | 25 | 29 | 23 | 38 | 23 | 38 | 10 | 51 | 80 | 52 | 20 | 12 | | | | |\n| Rockets | Houston | 109 | 31 | 18 | 26 | 34 | 27 | 40 | 13 | 43 | 87 | 39 | 22 | 9 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Grizzlies | | | | | | | | | | | | | | | | | | |\n| Mike Conley | 29 | 24 | 3 | 5 | 9-17 | 53% | 3-6 | 50% | 3-4 | 75% | 1 | 0 | 0 | 0 | 3 | 1 | G | Memphis |\n| Marc Gasol | 34 | 16 | 5 | 4 | 5-14 | 36% | 0-1 | 0% | 6-6 | 100% | 1 | 3 | 2 | 1 | 4 | 3 | C | Memphis |\n| Zach Randolph | 20 | 16 | 5 | 4 | 8-11 | 73% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 1 | 4 | 1 | N/A | Memphis |\n| Vince Carter | 22 | 14 | 4 | 0 | 5-8 | 63% | 4-6 | 67% | 0-0 | 0% | 0 | 0 | 0 | 0 | 4 | 1 | N/A | Memphis |\n| James Ennis III | 21 | 13 | 1 | 0 | 5-7 | 71% | 3-5 | 60% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 0 | N/A | Memphis |\n| Tony Allen | 29 | 9 | 4 | 2 | 3-5 | 60% | 1-1 | 100% | 2-4 | 50% | 2 | 1 | 1 | 2 | 2 | 1 | G | Memphis |\n| JaMychal Green | 27 | 7 | 5 | 0 | 1-3 | 33% | 1-1 | 100% | 4-4 | 100% | 0 | 0 | 0 | 3 | 2 | 4 | F | Memphis |\n| Andrew Harrison | 20 | 5 | 2 | 6 | 1-6 | 17% | 0-3 | 0% | 3-4 | 75% | 0 | 2 | 0 | 0 | 2 | 2 | N/A | Memphis |\n| Troy Daniels | 10 | 5 | 2 | 0 | 1-1 | 100% | 1-1 | 100% | 2-3 | 67% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | Memphis |\n| Chandler Parsons | 15 | 4 | 3 | 2 | 2-7 | 29% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 1 | F | Memphis |\n| Jarell Martin | 15 | 2 | 4 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 2 | 0 | 0 | 1 | 3 | 2 | N/A | Memphis |\n| Troy Williams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Rockets | | | | | | | | | | | | | | | | | | |\n| Ryan Anderson | 35 | 28 | 7 | 0 | 9-17 | 53% | 7-13 | 54% | 3-3 | 100% | 0 | 2 | 2 | 1 | 6 | 4 | F | Houston |\n| Eric Gordon | 32 | 17 | 2 | 4 | 6-19 | 32% | 4-16 | 25% | 1-1 | 100% | 1 | 1 | 1 | 0 | 2 | 1 | N/A | Houston |\n| Montrezl Harrell | 28 | 16 | 8 | 1 | 7-11 | 64% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 2 | 6 | 4 | C | Houston |\n| James Harden | 36 | 16 | 7 | 17 | 6-13 | 46% | 2-6 | 33% | 2-3 | 67% | 1 | 9 | 0 | 1 | 6 | 5 | G | Houston |\n| Patrick Beverley | 33 | 13 | 6 | 1 | 4-11 | 36% | 3-9 | 33% | 2-2 | 100% | 2 | 0 | 0 | 2 | 4 | 3 | G | Houston |\n| Trevor Ariza | 36 | 9 | 3 | 3 | 3-6 | 50% | 3-5 | 60% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 1 | F | Houston |\n| Sam Dekker | 17 | 5 | 1 | 0 | 2-6 | 33% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 2 | N/A | Houston |\n| Nene | 18 | 4 | 5 | 1 | 1-3 | 33% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 2 | 3 | 2 | N/A | Houston |\n| Corey Brewer | 5 | 1 | 1 | 0 | 0-3 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | Houston |\n| Tyler Ennis | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Chinanu Onuaku | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| KJ McDaniels | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Kyle Wiltjer | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |" + }, + { + "from": "human", + "value": "Given a table image, please tell me which table cells are merged cells. Return the merged cell regions in the JSON format of {'top-left':(R1, C1), 'bottom-right':(R2, C2)}, where (R1, C1) and (R2, C2) represent the (row_id, column_id) coordinates of top-left cell and bottom-right cell, respectively. The row_id and column_id are numberd from 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "Review the box-score and line-score tables from the NBA game between Grizzlies and Rockets on 2016-12-23. Compose a game summary based on the data statistics." + }, + { + "from": "gpt", + "value": "The Memphis Grizzlies defeated the Houston Rockets, 115-109, at FedEx Forum on Friday. The Grizzlies (20-12) hold a reputation as one of the true grinding, defensive-minded squads in the NBA, and rightfully so. They checked in to Friday 's showdown with the high-octane Rockets (22-9) second only to the Jazz in points allowed per game (97), while holding opponents to a 43 percent success rate from the field that also ranked them as second-best behind Utah. However, Memphis flashed the ability to give the scoreboard operator a workout Friday, as they broke out for a season-high 115 points to secure their 12th home victory of the season. Mike Conley, recently recovered from a serious back injury, led the way with 24 points, and the Grizzlies impressively shot 51 percent from the field and 52 percent from three-point range. On the defensive end, they were able to contain the prolific Rockets to 43 percent and 39 percent success rates, respectively. Houston was led by Ryan Anderson 's season-high 31 points, which he supplemented with seven rebounds and two blocks. James Harden provided a modest 16 points while only taking 13 shot attempts, but served as a master facilitator, handing out 17 dimes. He also recorded seven rebounds and a steal, but turned the ball over a game-high nine times. Montrezl Harrell compiled 16 points and provided eight rebounds and an assist while drawing another start center. Patrick Beverley went for 13 points, six rebounds, an assist and two steals. Eric Gordon got his money 's worth out of his 32 minutes on the floor, posting 17 points, four assists, two rebounds, a steal and a block while taking a whopping 16 of his 19 shot attempts fro three-point range. Conley complemented his aforementioned team-high scoring total with five assists, three rebounds and a steal. Marc Gasol was next with 16 points, five rebounds, four assists, two blocks and a steal. Tony Allen filled out the stat sheet with nine points, four rebounds, two assists, two steals and a block. Chandler Parsons played a scant 15 minutes as he continues to build up his conditioning following a long absence, and he managed four points, three rebounds, two assists and a steal. Zach Randolph led the bench with 16 points, five rebounds, four assists and a steal, while Vince Carter (14 points) and James Ennis (13 points) were productive in reserve roles as well. The Rockets head back home to face the Phoenix Suns on Monday evening, while the Grizzlies head down to Central Florida for a date with the Orlando Magic on Monday night as well." + } + ] + }, + { + "id": "table_instructV_multi_round_18447", + "image": "table_instructV/images/ToTTo_train_table_20646.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| # | Name | Tenure | City of Residence |\n| --- | --- | --- | --- |\n| 1 | Charles J. Warner | 1937-1938 | Waverly |\n| 2 | William H. Diers | 1939-1940 | Gresham |\n| 3 | Rufus M. Howard | 1941-1942 | Sutherland |\n| 4 | Robert B. Crosby | 1943-1944 | North Platte |\n| 5 | C. Petrus Peterson | 1945-1946 | Lincoln |\n| 6 | Walter R. Raecke | 1947-1948 | Central City |\n| 7 | Earl J. Lee | 1949-1950 | Fremont |\n| 8 | C. Edward Hoyt | 1951-1952 | McCook |\n| 9 | Otto J. Prohs | 1952 | Gering |\n| 10 | Charles F. Tvrdik | 1953-1954 | Omaha |\n| 11 | Dwight W. Burney | 1955-1956 | Harrington |\n| 12 | John E. Beaver | 1957-1958 | Beemer |\n| 13 | Harry L. Pizer | 1959-1960 | North Platte |\n| 14 | Donald L. Thompson | 1961-1962 | McCook |\n| 15 | William S. Moulton | 1963-1964 | Omaha |\n| 16 | Kenneth L. Bowen | 1965-1966 | Red Cloud |\n| 17 | Elvin Adamson | 1967-1968 | Valentine |\n| 18 | Jerome Warner | 1969-1970 | Waverly |\n| 19 | William H. Hasebroock | 1971-1972 | West Point |\n| 20 | Richard R. Proud | 1973-1974 | Omaha |\n| 21 | Julius W. Burbach | 1975-1976 | Harrington |\n| 22 | Roland A. Luedtke | 1977-1978 | Lincoln |\n| 23 | Richard D. Marvel | 1979-1982 | Hastings |\n| 24 | William E. Nichol | 1983-1986 | Scottsbluff |\n| 25 | William E. Barrett | 1987-1990 | Lexington |\n| 26 | Dennis G. Baack | 1991-1992 | Kimball |\n| 27 | Ron Withem | 1993-1996 | Papillion |\n| 28 | Douglas A. Kristensen | 1997-2002 | Minden |\n| 29 | Curt Bromm | 2003-2004 | Wahoo |\n| 30 | Kermit Brashear | 2005-2006 | Omaha |\n| 31 | Mike Flood | 2007-2012 | Norfolk |\n| 32 | Greg L. Adams | 2013-2014 | York |\n| 33 | Galen Hadley | 2015-2016 | Kearney |\n| 34 | Jim Scheer | 2017-Present | Norfolk |" + }, + { + "from": "human", + "value": "Based on the table named 'List of Speakers of the Nebraska Legislature', can you provide a concise sentence summarizing the data in the highlighted cells?" + }, + { + "from": "gpt", + "value": "Jerome Warner was the Speaker of the Nebraska Legislature." + } + ] + }, + { + "id": "table_instructV_multi_round_18504", + "image": "table_instructV/images/Rotowire_train_table_2585.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Warriors | Golden State | 120 | 30 | 26 | 36 | 28 | 32 | 48 | 14 | 49 | 84 | 53 | 18 | 0 | | | | |\n| Kings | Sacramento | 101 | 29 | 17 | 25 | 30 | 22 | 48 | 14 | 39 | 87 | 40 | 6 | 12 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 30 | 19 | 4 | 6 | 4-7 | 57% | 3-6 | 50% | 8-8 | 100% | 3 | 1 | 0 | 0 | 4 | 1 | G | Golden State |\n| Brandon Rush | 19 | 16 | 3 | 1 | 5-8 | 63% | 4-5 | 80% | 2-2 | 100% | 0 | 2 | 0 | 2 | 1 | 1 | F | Golden State |\n| Klay Thompson | 26 | 15 | 0 | 2 | 6-10 | 60% | 3-6 | 50% | 0-0 | 0% | 1 | 2 | 0 | 0 | 0 | 1 | G | Golden State |\n| Marreese Speights | 17 | 13 | 5 | 1 | 5-12 | 42% | 0-1 | 0% | 3-5 | 60% | 0 | 0 | 0 | 2 | 3 | 0 | N/A | Golden State |\n| Draymond Green | 36 | 13 | 11 | 12 | 4-13 | 31% | 0-4 | 0% | 5-7 | 71% | 1 | 3 | 4 | 2 | 9 | 4 | F | Golden State |\n| Festus Ezeli | 18 | 11 | 11 | 1 | 4-6 | 67% | 0-0 | 0% | 3-4 | 75% | 0 | 1 | 0 | 4 | 7 | 2 | N/A | Golden State |\n| Andre Iguodala | 22 | 9 | 3 | 1 | 3-4 | 75% | 3-4 | 75% | 0-0 | 0% | 0 | 3 | 1 | 1 | 2 | 2 | N/A | Golden State |\n| Ian Clark | 9 | 8 | 1 | 1 | 2-4 | 50% | 2-2 | 100% | 2-2 | 100% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Golden State |\n| Shaun Livingston | 17 | 7 | 2 | 3 | 3-5 | 60% | 0-0 | 0% | 1-1 | 100% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | Golden State |\n| Leandro Barbosa | 21 | 5 | 2 | 1 | 1-6 | 17% | 1-2 | 50% | 2-2 | 100% | 3 | 1 | 0 | 0 | 2 | 5 | N/A | Golden State |\n| Andrew Bogut | 20 | 4 | 4 | 2 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 2 | 0 | 4 | 3 | C | Golden State |\n| Jason Thompson | 6 | 0 | 2 | 1 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | Golden State |\n| James Michael McAdoo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Kings | | | | | | | | | | | | | | | | | | |\n| Rudy Gay | 27 | 20 | 7 | 0 | 7-20 | 35% | 0-1 | 0% | 6-6 | 100% | 0 | 0 | 0 | 3 | 4 | 1 | F | Sacramento |\n| Kosta Koufos | 23 | 14 | 7 | 0 | 7-13 | 54% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 1 | 5 | 2 | 4 | C | Sacramento |\n| Omri Casspi | 29 | 11 | 7 | 1 | 3-10 | 30% | 3-5 | 60% | 2-2 | 100% | 0 | 0 | 0 | 2 | 5 | 3 | F | Sacramento |\n| Darren Collison | 27 | 11 | 4 | 3 | 5-13 | 39% | 0-3 | 0% | 1-1 | 100% | 3 | 2 | 0 | 2 | 2 | 1 | N/A | Sacramento |\n| Ben McLemore | 27 | 10 | 3 | 5 | 3-7 | 43% | 2-3 | 67% | 2-3 | 67% | 3 | 2 | 1 | 0 | 3 | 0 | G | Sacramento |\n| Quincy Acy | 15 | 9 | 7 | 1 | 4-7 | 57% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 0 | 4 | 3 | 3 | N/A | Sacramento |\n| Seth Curry | 9 | 9 | 1 | 2 | 3-4 | 75% | 3-3 | 100% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 1 | N/A | Sacramento |\n| Rajon Rondo | 25 | 7 | 4 | 7 | 3-10 | 30% | 1-2 | 50% | 0-0 | 0% | 0 | 3 | 0 | 1 | 3 | 4 | G | Sacramento |\n| Marco Belinelli | 22 | 5 | 1 | 2 | 2-10 | 20% | 0-7 | 0% | 1-1 | 100% | 0 | 3 | 0 | 0 | 1 | 2 | N/A | Sacramento |\n| Willie Cauley-Stein | 20 | 3 | 4 | 1 | 1-5 | 20% | 0-0 | 0% | 1-2 | 50% | 1 | 0 | 2 | 2 | 2 | 5 | N/A | Sacramento |\n| Eric Moreland | 9 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 3 | 0 | 1 | 0 | N/A | Sacramento |\n| James Anderson | 6 | 0 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Sacramento |\n| Caron Butler | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |" + }, + { + "from": "human", + "value": "The image presents the statistics of an NBA game played on 2015-11-28. Please analyze these data and provide a game summary." + }, + { + "from": "gpt", + "value": "The Golden State Warriors (180) would not have their record tarnished by the lowly Sacramento Kings (6-12) as they came up with the 120-101 win on Saturday night, in Oakland. The Kings started out well as they put up a competitive first quarter but could not keep up with the high-paced, high-efficiency Warriors. Sacramento was missing DeMarcus Cousins again, who is still out with a sore back. Rudy Gay led the way for the Kings with 20 points scored on 7-20 shooting, he also pulled down seven boards, in a limited 27 minutes. Kosta Koufos started in place of Cousins and put up a decent 14 points on 7-13 shooting, along with seven rebounds. Omri Casspi chipped in 11 points and seven rebounds in 28 minutes. The Kings as a team shot only 39 percent from the field. Golden State fielded a balanced offense and played as a cohesive unit with an amazing 32 assists on 39 made field goals. This was far from a one man show as six players scored in double digits and no one scored more than 19. Stephen Curry finished with 19 points, six assists and four rebounds in 29 minutes. Curry took only seven field goal attempts, six of them from deep. He shot 4-7 from the field, 3-6 from deep. Draymond Green posted a beautiful triple double with 13 points, 12 assists and 11 rebounds in 35 minutes. Green also had four blocked shots. Festus Ezeli put up a double double consisting of 11 points and 11 rebounds in only 17 minutes off the bench. Next up Golden State will be visiting Utah for a match on Monday, where perhaps the altitude will throw the Warriors off their game. Sacramento will be hosting Dallas on Monday." + } + ] + }, + { + "id": "table_instructV_multi_round_18541", + "image": "table_instructV/images/TabFact_2-13614398-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| date | opponents | h / a | result f - a | attendance |\n| --- | --- | --- | --- | --- |\n| 21 september 1889 | sunderland albion | h | 4 - 1 | 3000 |\n| 23 september 1889 | bootle | a | 1 - 4 | 3000 |\n| 28 september 1889 | crewe alexandra | a | 2 - 2 | 2000 |\n| 19 october 1889 | walsall town swifts | a | 0 - 4 | 600 |\n| 26 october 1889 | birmingham st george 's | a | 1 - 5 | 500 |\n| 9 november 1889 | long eaton rangers | h | 3 - 0 | 2500 |\n| 30 november 1889 | sheffield wednesday | a | 1 - 3 | 5000 |\n| 7 december 1889 | bootle | h | 3 - 0 | 4000 |\n| 21 december 1889 | walsall town swifts | h | 3 - 0 | 1000 |\n| 28 december 1889 | darwen | a | 1 - 4 | 5000 |\n| 4 january 1890 | grimsby town | h | 4 - 1 | 4000 |\n| 25 january 1890 | sunderland albion | a | 0 - 2 | 4000 |\n| 8 february 1890 | grimsby town | a | 0 - 7 | 2400 |\n| 15 february 1890 | nottingham forest | a | 3 - 1 | 800 |\n| 1 march 1890 | crewe alexandra | h | 1 - 2 | 2000 |\n| 15 march 1890 | small heath | a | 1 - 1 | 2000 |\n| 22 march 1890 | long eaton rangers | a | 3 - 1 | 2000 |\n| 29 march 1890 | darwen | h | 2 - 1 | 5000 |\n| 5 april 1890 | nottingham forest | h | 0 - 1 | 4000 |\n| 7 april 1890 | small heath | h | 9 - 1 | 4000 |\n| 14 april 1890 | grimsby town | h | 0 - 1 | 3000 |\n| 19 april 1890 | birmingham st george 's | h | 2 - 1 | 2500 |\n| 21 april 1890 | walsall town swifts | h | 2 - 1 | 1000 |\n| 26 april 1890 | sheffield wednesday | h | 1 - 2 | 4000 |" + }, + { + "from": "human", + "value": "This is a table image titled '1889 - 90 newton heath lyr f.c. season', help me determine if the table entails or disputes the following hypothesis. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nthere were 500 less people in attendance at the game on april 19 , 1890 than on the game on april 14 , 1890" + }, + { + "from": "gpt", + "value": "Based on the table, the hypothesis holds true. Thus, the final answer is {\"answer\": \"entails\"}." + }, + { + "from": "human", + "value": "Examine the table titled '1889 - 90 newton heath lyr f.c. season' and judge whether the table substantiates or disproves the following statement. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nnewton heath was the away team for the game against nottingham forest on december 28 , 1889 , while they were the home team in the game against darwen on march 29 , 1890" + }, + { + "from": "gpt", + "value": "Based on the table, the statement can not hold true. Thus, the final answer is {\"answer\": \"disproves\"}." + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following hypothesis is supported or contradicted by the table. Output the final answer as JSON in the format {\"answer\": \"\"}.\ntable title:1889 - 90 newton heath lyr f.c. season\nhypothesis: newton heath was the away team for the game against darwen on december 28 , 1889 , while they were the home team in the game against darwen on march 29 , 1890" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the hypothesis is valid. Hence, the answer is {\"answer\": \"supported\"}." + }, + { + "from": "human", + "value": "Examine the table with the caption '1889 - 90 newton heath lyr f.c. season', classify whether the provided table upholds or disproves the hypothesis. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nhypothesis: the lowest attendance at any of the games for the 1889 - 90 newton heath lyr fc season is 5000" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it disproves the hypothesis. Hence, the answer is {\"answer\": \"disproves\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_18552", + "image": "table_instructV/images/TabFact_2-10783853-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| home team | home team score | away team | away team score | venue | crowd | date |\n| --- | --- | --- | --- | --- | --- | --- |\n| hawthorn | 21.25 (151) | south melbourne | 11.14 (80) | glenferrie oval | 15000 | 11 may 1963 |\n| footscray | 14.12 (96) | richmond | 11.11 (77) | western oval | 21695 | 11 may 1963 |\n| carlton | 9.13 (67) | essendon | 8.13 (61) | princes park | 42919 | 11 may 1963 |\n| north melbourne | 3.7 (25) | geelong | 7.19 (61) | arden street oval | 21700 | 11 may 1963 |\n| melbourne | 14.10 (94) | fitzroy | 8.7 (55) | mcg | 25500 | 11 may 1963 |\n| st kilda | 14.13 (97) | collingwood | 11.7 (73) | junction oval | 37700 | 11 may 1963 |" + }, + { + "from": "human", + "value": "Determine the relationship between the table named '1963 vfl season' and the claim. Whether the table entails or challenges the given claim? Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nclaim: during the 1963 vfl season , princes park venue recorded the highest crowd participation" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table entails the validity of the claim. Therefore, the final answer: {\"answer\": \"entails\"}." + }, + { + "from": "human", + "value": "According to the information in the given table regarding '1963 vfl season', tell me whether the statement is substantiated or contradicted by the table. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\njunction oval venue recorded a lower crowd participation than the princes park venue" + }, + { + "from": "gpt", + "value": "According to the table, the statement is substantiated by the table information. Therefore, the final answer: {\"answer\": \"substantiated\"}." + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table with its caption '1963 vfl season', the goal is to distinguish whether the following claim is upheld or refuted by the table. Show your final answer in the JSON format {\"answer\": \"\"}.\njunction oval venue had a 10500 crowd participants more than the glenferrie oval venue" + }, + { + "from": "gpt", + "value": "Based on the table information, the claim is not true. Thus, the answer is {\"answer\": \"refuted\"}." + }, + { + "from": "human", + "value": "In this task, you are given a table with its title '1963 vfl season', your goal is to distinguish whether this table affirms or disputes the hypothesis. The final result should be presented in the JSON format of {\"answer\": \"\"}.\narden street oval venue is one of the two venues that were in use on 11 may , 1963" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the hypothesis is false. Consequently, the answer is {\"answer\": \"disputes\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_18599", + "image": "table_instructV/images/TABMWP_18328.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | Correctly placed | Incorrectly placed |\n| --- | --- | --- |\n| Plastic #2 | 4 | 3 |\n| Plastic #4 | 2 | 3 |" + }, + { + "from": "human", + "value": "Look at the table and break down the following math word problem, step by step. Conclude your response with a final answer in the JSON format {\"answer\": \"\"}.\nCurious about people's recycling behaviors, Kylie put on some gloves and sifted through some recycling and trash bins. She kept count of the plastic type of each bottle and which bottles are properly dispensed. What is the probability that a randomly selected bottle is made of plastic #2 and is incorrectly placed? Simplify any fractions." + }, + { + "from": "gpt", + "value": "Let A be the event \"the bottle is made of plastic #2\" and B be the event \"the bottle is incorrectly placed\".\nTo find the probability that a bottle is made of plastic #2 and is incorrectly placed, first identify the sample space and the event.\nThe outcomes in the sample space are the different bottles. Each bottle is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the bottle is made of plastic #2 and is incorrectly placed\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the bottle is made of plastic #2 and is incorrectly placed\", so look at the table to see how many bottles are made of plastic #2 and are incorrectly placed.\nThe number of bottles that are made of plastic #2 and are incorrectly placed is 3.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of bottles.\n4 + 2 + 3 + 3 = 12\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{3}{12}\n = \\frac{1}{4}\nThe probability that a bottle is made of plastic #2 and is incorrectly placed is \\frac{1}{4}.\n\nSo, the answer is {\"answer\": \"1/4\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_18617", + "image": "table_instructV/images/TABMWP_31201.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $970 | 15,800 | 11,700 |\n| $1,140 | 13,400 | 12,000 |\n| $1,310 | 11,000 | 12,300 |\n| $1,480 | 8,600 | 12,600 |\n| $1,650 | 6,200 | 12,900 |" + }, + { + "from": "human", + "value": "Problem: \nLook at the table. Then answer the question. At a price of $970, is there a shortage or a surplus? (A) shortage (B) surplus\n\nAnswer the above problem related to the table. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nSolution:" + }, + { + "from": "gpt", + "value": "At the price of $970, the quantity demanded is greater than the quantity supplied. There is not enough of the good or service for sale at that price. So, there is a shortage.\n\n\nTherefore, the final answer is {\"answer\": \"shortage\"}." + }, + { + "from": "human", + "value": "Given a table image and a set of target cells, your task is to identify their positions. Represent each cell's location as JSON in the format {'value': '', 'location': (row_id, column_id)}, with both row and column id begin from 1.\nRefer to the values below:\nCELL VALUE 1: '$1,650'\nCELL VALUE 2: '8,600'\nCELL VALUE 3: '12,000'\n\nUse 'DOES NOT EXIST' as the location for a non-existing cell in the table. " + }, + { + "from": "gpt", + "value": "The coordinates of target cells are listed below.\nCELL LOCATION 1: {'value': '$1,650', 'location': (6, 1)}\nCELL LOCATION 2: {'value': '8,600', 'location': (5, 2)}\nCELL LOCATION 3: {'value': '12,000', 'location': (3, 3)}" + } + ] + }, + { + "id": "table_instructV_multi_round_18626", + "image": "table_instructV/images/TabFact_2-17477462-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| railway | builder | built | wheels | location | objectnumber |\n| --- | --- | --- | --- | --- | --- |\n| c&slr | mather & platt / beyer , peacock | 1890 | bo | ltmuseum | 1923 - 301 |\n| waterloo & city | siemens brothers & co | 1898 | bo | shildon | 1978 - 7003 |\n| ner | bth | 1904 | bo - bo | shildon | 1975 - 7022 |\n| nsr | nsr / thomas bolton | 1917 | bo | york | 1978 - 7004 |\n| br | br gorton | 1951 | bo - bo | york | 1978 - 7005 |\n| br | br doncaster | 1958 | bo - bo | shildon | 1978 - 7006 |\n| br | north british | 1960 | bo - bo | barrow hill | 1979 - 7001 |\n| br | brel crewe | 1974 | bo - bo | york | 2005 - 7698 |" + }, + { + "from": "human", + "value": "Analyze this table picture about 'list of rolling stock items in the uk national collection' and classify whether the given table upholds or disproves the statement. Show your final answer in the JSON format {\"answer\": \"\"}.\n\nthere were 4 br railways in shildon out of 8 and were built from 1951 thru 1974" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it disproves the statement. Hence, the answer is {\"answer\": \"disproves\"}." + }, + { + "from": "human", + "value": "Based on the table image about 'list of rolling stock items in the uk national collection' and the subsequent claim, determine if the table substantiates or disproves the subsequent claim. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nclaim: mather & platt / beyer , peacock was the first builder of waterloo & city railway in 1890 , with an objectnumber of 1923 - 301" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it disproves the claim. So, the answer is {\"answer\": \"disproves\"}." + }, + { + "from": "human", + "value": "statement: the 8 railways were built as early as 1890 to 1974\nJudge whether the above statement is supported or disputed by the given table named 'list of rolling stock items in the uk national collection'. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}." + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the statement. Hence, the answer is {\"answer\": \"supported\"}." + }, + { + "from": "human", + "value": "Give you a table titled 'list of rolling stock items in the uk national collection' and a hypothesis which is 'waterloo & city , ner and br by br doncaster were all located in shildon', select the correct relation between the table and the hypothesis based on the table information. Output the final answer as JSON in the format {\"answer\": \"\"}.\n\n(A) upholds (the hypothesis is true)\n(B) challenges (the hypothesis is false)" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it upholds the hypothesis. So, the answer is {\"answer\": \"upholds\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_18633", + "image": "table_instructV/images/Rotowire_train_table_2686.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Thunder | Oklahoma City | 104 | 25 | 27 | 31 | 21 | 20 | 62 | 22 | 42 | 81 | 32 | 29 | 25 | | | | |\n| Mavericks | Dallas | 89 | 19 | 17 | 29 | 24 | 16 | 39 | 17 | 36 | 82 | 33 | 36 | 20 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Russell Westbrook | 36 | 34 | 5 | 10 | 9-17 | 53% | 2-4 | 50% | 14-14 | 100% | 2 | 6 | 0 | 2 | 3 | 3 | G | Oklahoma City |\n| Serge Ibaka | 38 | 21 | 22 | 0 | 8-12 | 67% | 0-0 | 0% | 5-6 | 83% | 0 | 3 | 0 | 7 | 15 | 2 | F | Oklahoma City |\n| Anthony Morrow | 29 | 16 | 2 | 0 | 7-13 | 54% | 2-5 | 40% | 0-0 | 0% | 2 | 2 | 0 | 1 | 1 | 2 | N/A | Oklahoma City |\n| Kevin Durant | 37 | 12 | 6 | 5 | 4-14 | 29% | 2-6 | 33% | 2-2 | 100% | 1 | 2 | 0 | 1 | 5 | 1 | F | Oklahoma City |\n| Dion Waiters | 27 | 8 | 1 | 3 | 4-9 | 44% | 0-1 | 0% | 0-0 | 0% | 1 | 2 | 0 | 0 | 1 | 3 | N/A | Oklahoma City |\n| Andre Roberson | 15 | 4 | 12 | 1 | 2-9 | 22% | 0-2 | 0% | 0-2 | 0% | 0 | 2 | 0 | 6 | 6 | 2 | G | Oklahoma City |\n| Mitch McGary | 18 | 4 | 3 | 0 | 2-5 | 40% | 0-0 | 0% | 0-2 | 0% | 1 | 3 | 0 | 0 | 3 | 3 | N/A | Oklahoma City |\n| Jeremy Lamb | 5 | 3 | 1 | 0 | 1-3 | 33% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Oklahoma City |\n| Nick Collison | 26 | 2 | 9 | 1 | 1-7 | 14% | 0-2 | 0% | 0-0 | 0% | 1 | 2 | 0 | 4 | 5 | 2 | C | Oklahoma City |\n| Perry Jones III | 10 | 0 | 1 | 0 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Oklahoma City |\n| Steven Adams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Mavericks | | | | | | | | | | | | | | | | | | |\n| Dirk Nowitzki | 31 | 14 | 4 | 0 | 6-16 | 38% | 0-3 | 0% | 2-2 | 100% | 0 | 0 | 2 | 0 | 4 | 1 | F | Dallas |\n| Devin Harris | 18 | 13 | 1 | 1 | 5-8 | 63% | 1-3 | 33% | 2-2 | 100% | 2 | 3 | 0 | 0 | 1 | 3 | N/A | Dallas |\n| Charlie Villanueva | 13 | 11 | 2 | 0 | 4-8 | 50% | 2-5 | 40% | 1-2 | 50% | 2 | 1 | 0 | 0 | 2 | 0 | N/A | Dallas |\n| Tyson Chandler | 33 | 10 | 13 | 0 | 4-10 | 40% | 0-0 | 0% | 2-3 | 67% | 0 | 2 | 0 | 7 | 6 | 3 | C | Dallas |\n| Chandler Parsons | 36 | 8 | 7 | 2 | 3-12 | 25% | 2-5 | 40% | 0-0 | 0% | 1 | 3 | 0 | 1 | 6 | 2 | F | Dallas |\n| Al-Farouq Aminu | 17 | 8 | 5 | 1 | 2-7 | 29% | 2-4 | 50% | 2-2 | 100% | 2 | 1 | 0 | 3 | 2 | 3 | N/A | Dallas |\n| Monta Ellis | 35 | 7 | 0 | 4 | 2-13 | 15% | 1-5 | 20% | 2-2 | 100% | 6 | 2 | 0 | 0 | 0 | 2 | G | Dallas |\n| J.J. Barea | 14 | 7 | 2 | 2 | 3-6 | 50% | 1-2 | 50% | 0-0 | 0% | 1 | 1 | 0 | 1 | 1 | 0 | N/A | Dallas |\n| Rajon Rondo | 29 | 5 | 2 | 6 | 2-9 | 22% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 0 | 1 | 1 | 4 | G | Dallas |\n| Bernard James | 8 | 4 | 2 | 0 | 1-1 | 100% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 1 | 1 | 1 | 1 | N/A | Dallas |\n| Richard Jefferson | 7 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 1 | N/A | Dallas |\n| Raymond Felton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| Greg Smith | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |" + }, + { + "from": "human", + "value": "This image shows the box-score table and the line-score table of an NBA game between Thunder and Mavericks on 19/02/2015. Write a detailed game summary based on the data statistics." + }, + { + "from": "gpt", + "value": "The Oklahoma City Thunder (29-25) defeated the Dallas Mavericks (36-20) 104-89 on Thursday at the Chesapeake Energy Arena. Russell Westbrook picked up where he left off with another great performance. Westbrook finished the night with a game-high 34 points on an efficient 9-for-17 shooting performance from the floor to go with 10 assists. The Thunder built a commanding lead in the third quarter, but the Mavericks chipped away at it to make the game competitive late until Oklahoma City finally pulled away. The Thunder have now moved into the eighth spot in the Western Conference. The Mavericks had Tyson Chandler and Rajon Rondo return to action Thursday, but that was n't enough to secure a victory against a surging Thunder team. Dallas was badly out-rebounded Thursday by a count of 62 to 39. The Mavericks also shot a woeful 36 percent from the floor. Dallas has a quick turnaround, with a matchup against Houston coming on Friday. Oklahoma City capped off a busy Thursday trade-deadline with a big win over a playoff contender. In addition to Westbrook 's big night, Serge Ibaka had a 20-20 outing with 21 points and 22 rebounds. The Thunder made moves for Enes Kanter and DJ Augustin as well on Thursday, adding depth as it begins its push towards the postseason. Oklahoma City will return to action Saturday in Charlotte." + } + ] + }, + { + "id": "table_instructV_multi_round_18798", + "image": "table_instructV/images/ToTTo_train_table_4757.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | 18–10 | Daniel Vizcaya | Technical Submission (rear-naked choke) | RCC 14: Revolution Combat Championships 14 | December 29, 2017 | 1 | 3:49 | Cedar Rapids, Iowa, United States | For RCC Light Heavyweight Championship. |\n| Win | 18–9 | Eddie Larrea | Submission (rear-naked choke) | RCC: Revolution Cage Combat | June 11, 2016 | 1 | 3:33 | Iowa City, Iowa, United States | |\n| Loss | 17–9 | Muhammed Lawal | TKO (punches) | Bellator 131 | November 15, 2014 | 3 | 0:39 | San Diego, California, United States | Light Heavyweight bout. |\n| Win | 17–8 | Davin Clark | TKO (punches) | Bellator 129 | October 17, 2014 | 3 | 2:27 | Council Bluffs, Iowa, United States | |\n| Win | 16–8 | Cortez Coleman | Decision (majority) | Bellator 121 | June 6, 2014 | 3 | 5:00 | Thackerville, Oklahoma, United States | |\n| Win | 15–8 | Ben Crowder | Technical Submission (leg injury) | Bellator 117 | April 18, 2014 | 1 | 0:48 | Council Bluffs, Iowa, United States | |\n| Loss | 14–8 | Kendall Grove | Decision (unanimous) | Bellator 104 | October 18, 2013 | 3 | 5:00 | Cedar Rapids, Iowa, United States | Middleweight bout. |\n| Loss | 14–7 | Eddie Larrea | TKO (punches) | Triple A MMA 2 | August 10, 2013 | 1 | 0:45 | Cedar Rapids, Iowa, United States | |\n| Loss | 14–6 | Louis Taylor | KO (punches) | Bellator 84 | December 14, 2012 | 1 | 4:12 | Hammond, Indiana, United States | |\n| Win | 14–5 | Mike Bernhard | Submission (shin choke) | Bellator 80 | November 9, 2012 | 1 | 3:26 | Hollywood, Florida, United States | |\n| Loss | 13–5 | Jason Buck | Submission (rear-naked choke) | Pinnacle Combat MMA 10 | April 27, 2012 | 1 | 0:43 | Dubuque, Iowa, United States | |\n| Win | 13–4 | Kenneth Allen | Submission (rear-naked choke) | Extreme Challenge 202 | January 28, 2012 | 1 | 2:17 | Bettendorf, Iowa, United States | |\n| Loss | 12–4 | Dmitry Samoilov | Decision (unanimous) | League S-70: Russia vs. Brazil | August 5, 2011 | 2 | 5:00 | Sochi, Krasnodar Krai, Russia | |\n| Win | 12–3 | Dennis Reed | Submission (armbar) | Revolution Combat Championships 11: Cocked and Loaded | June 19, 2010 | 1 | 1:31 | Columbus Junction, Iowa, United States | |\n| Win | 11–3 | Oli Thompson | TKO (punches) | ZT Fight Night: Heavyweights Collide | January 30, 2010 | 2 | 1:24 | Hove, East Sussex, England | ZT Fight Night Heavyweight Tournament Semifinal. |\n| Win | 10–3 | Miguel Bernard | Submission (armbar) | ZT Fight Night: Heavyweights Collide | January 30, 2010 | 1 | 0:33 | Hove, East Sussex, England | ZT Fight Night Heavyweight Tournament Quarterfinal. |\n| Win | 9–3 | Webster Farris | KO (punch) | Adrenaline MMA IV | September 18, 2009 | 1 | 0:14 | Council Bluffs, Iowa, United States | |\n| Loss | 8–3 | Rob Kimmons | Technical submission (guillotine choke) | UFC Fight Night 18 | April 1, 2009 | 1 | 1:54 | Nashville, Tennessee, United States | |\n| Loss | 8–2 | Alessio Sakara | KO (head kick) | UFC Fight Night 15 | September 17, 2008 | 1 | 1:27 | Omaha, Nebraska, United States | |\n| Win | 8–1 | Brian Green | Submission (verbal) | MCC 14: Pride or Fate | June 14, 2008 | 3 | 4:25 | Urbandale, Iowa, United States | |\n| Win | 7–1 | Karl Kelly | Submission (keylock) | Pinnacle Combat: MMA | April 26, 2008 | 1 | 1:44 | Dubuque, Iowa, United States | |\n| Loss | 6–1 | Mario Miranda | TKO (punches) | Carnage at the Creek 2 | April 5, 2008 | 3 | 2:38 | Shelton, Washington, United States | |\n| Win | 6–0 | Rob Smith | TKO (knees) | XFO 22: Xtreme Fighting Organization | February 23, 2008 | 2 | 1:17 | Crystal Lake, Illinois, United States | |\n| Win | 5–0 | Chris Powers | Submission (kimura) | Mainstream MMA: Vengeance | October 20, 2007 | 1 | 2:55 | Cedar Rapids, Iowa, United States | |\n| Win | 4–0 | Todd Carney | TKO (strikes) | Extreme Challenge 83 | September 1, 2007 | 1 | 4:34 | Riverside, Iowa, United States | |\n| Win | 3–0 | Jeremy Norwood | KO (punch) | Rwevolution Combat Championships Vol. 1: The Doctor is Out | August 17, 2007 | 1 | 1:35 | West Liberty, Iowa, United States | |\n| Win | 2–0 | Joe Winterfeldt | N/A | Title Fighting Championships 1 | April 21, 2006 | 1 | N/A | Des Moines, Iowa, United States | |\n| Win | 1–0 | Jesse Lennox | Decision (unanimous) | Mainstream MMA 1: Inception | November 18, 2005 | 3 | 5:00 | Cedar Rapids, Iowa, United States | |" + }, + { + "from": "human", + "value": "Examine the following Wikipedia table, which is titled 'Joe Vedepo' and its section is titled 'Mixed martial arts record'. \nSome important table cells are highlighted with a different background color. Please create a single sentence that summarizes the highlighted table cells." + }, + { + "from": "gpt", + "value": "Vedepo faced Rob Kimmons at UFC Fight Night 18 on April 1, 2009." + } + ] + }, + { + "id": "table_instructV_multi_round_18808", + "image": "table_instructV/images/TabFact_2-12397961-11.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| outcome | date | tournament | surface | opponent | score |\n| --- | --- | --- | --- | --- | --- |\n| winner | 12 november 2006 | nashville , united states | hard | kristian pless | 7 - 6 (11 - 9) , 6 - 3 |\n| winner | 4 march 2007 | wolfsburg , germany | carpet (i) | daniel brands | 6 - 2 , 3 - 6 , 6 - 1 |\n| winner | 23 march 2008 | sunrise , united states | hard | sébastien grosjean | 7 - 5 , 5 - 7 , 6 - 1 |\n| winner | 21 march 2010 | caltanissetta , italy | clay | matteo trevisan | 7 - 5 , 6 - 3 |\n| winner | 6 june 2010 | fürth , germany | clay | tobias kamke | 6 - 4 , 6 - 2 |\n| winner | 8 august 2010 | city of san marino , san marino | clay | filippo volandri | 6 - 2 , 7 - 6 (10 - 8) |\n| winner | 29 august 2010 | manerbio , italy | clay | marco crugnola | 6 - 3 , 6 - 2 |\n| winner | 5 september 2010 | como , italy | clay | ivo minář | 6 - 4 , 6 - 3 |\n| runner - up | 9 june 2013 | caltanissetta , italy | clay | dušan lajović | 6 - 7 (4 - 7) , 3 - 6 |" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table with its caption 'robin haase', the goal is to distinguish whether the following sentence is entailed or disputed by the table. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\non 8 august 2010 , the score was 6 - 4 , 6 - 2" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the sentence is false. So, the answer is {\"answer\": \"disputed\"}." + }, + { + "from": "human", + "value": "This is a table named 'robin haase', please determine whether the given claim is supported or disputed by the table information. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nthe tournament held in nashville , united states took place on 12 november , 2006" + }, + { + "from": "gpt", + "value": "According to the table, the claim is supported by the table information. Therefore, the final answer: {\"answer\": \"supported\"}." + }, + { + "from": "human", + "value": "According to the information in the given table regarding 'robin haase', tell me whether the statement is substantiated or disproved by the table. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nthe date of 12 november 2006 was the tournament nashville , in the united states" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the statement. Hence, the answer is {\"answer\": \"substantiated\"}." + }, + { + "from": "human", + "value": "In this task, you are given a table with its title 'robin haase', your goal is to distinguish whether this table confirms or challenges the claim. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nthe tournament nashville , united states happened on 12 november 2006 with the scores 6 - 2 , 3 - 6 , & 6 - 1" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the claim is false. Consequently, the answer is {\"answer\": \"challenges\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_18862", + "image": "table_instructV/images/Rotowire_train_table_757.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Lakers | Los Angeles | 77 | 12 | 27 | 24 | 14 | 13 | 43 | 11 | 38 | 59 | 36 | 20 | 55 | | | | |\n| Trail Blazers | Portland | 107 | 26 | 26 | 22 | 33 | 21 | 53 | 8 | 49 | 100 | 39 | 49 | 26 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Lakers | | | | | | | | | | | | | | | | | | |\n| Jordan Clarkson | 35 | 27 | 7 | 5 | 12-20 | 60% | 2-4 | 50% | 1-2 | 50% | 0 | 2 | 0 | 1 | 6 | 1 | G | Los Angeles |\n| Wesley Johnson | 38 | 11 | 15 | 1 | 5-14 | 36% | 0-2 | 0% | 1-2 | 50% | 0 | 0 | 1 | 3 | 12 | 1 | F | Los Angeles |\n| Jabari Brown | 30 | 11 | 3 | 0 | 2-9 | 22% | 1-3 | 33% | 6-9 | 67% | 0 | 1 | 0 | 0 | 3 | 2 | N/A | Los Angeles |\n| Tarik Black | 27 | 10 | 4 | 1 | 5-10 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 1 | 3 | 1 | C | Los Angeles |\n| Dwight Buycks | 7 | 8 | 1 | 1 | 3-4 | 75% | 2-2 | 100% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 0 | N/A | Los Angeles |\n| Ryan Kelly | 38 | 4 | 3 | 2 | 2-6 | 33% | 0-2 | 0% | 0-0 | 0% | 1 | 4 | 2 | 0 | 3 | 2 | F | Los Angeles |\n| Jeremy Lin | 25 | 4 | 5 | 0 | 1-9 | 11% | 0-1 | 0% | 2-4 | 50% | 0 | 1 | 1 | 0 | 5 | 3 | G | Los Angeles |\n| Ed Davis | 12 | 2 | 1 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 0 | N/A | Los Angeles |\n| Carlos Boozer | 9 | 0 | 1 | 1 | 0-4 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 0 | N/A | Los Angeles |\n| Robert Sacre | 12 | 0 | 2 | 1 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 1 | 0 | N/A | Los Angeles |\n| Jordan Hill | 9 | 0 | 1 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Los Angeles |\n| Wayne Ellington | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Nick Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Trail Blazers | | | | | | | | | | | | | | | | | | |\n| CJ McCollum | 27 | 27 | 6 | 3 | 10-16 | 63% | 2-4 | 50% | 5-5 | 100% | 2 | 0 | 0 | 1 | 5 | 3 | N/A | Portland |\n| Damian Lillard | 28 | 20 | 3 | 5 | 8-15 | 53% | 4-8 | 50% | 0-0 | 0% | 2 | 2 | 0 | 0 | 3 | 2 | G | Portland |\n| Arron Afflalo | 32 | 17 | 1 | 1 | 5-15 | 33% | 3-5 | 60% | 4-4 | 100% | 1 | 0 | 0 | 0 | 1 | 1 | G | Portland |\n| LaMarcus Aldridge | 29 | 14 | 8 | 1 | 7-15 | 47% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 1 | 2 | 6 | 0 | F | Portland |\n| Robin Lopez | 25 | 10 | 4 | 0 | 4-4 | 100% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 2 | 0 | 4 | 1 | C | Portland |\n| Nicolas Batum | 27 | 7 | 10 | 4 | 3-9 | 33% | 1-5 | 20% | 0-0 | 0% | 0 | 1 | 0 | 1 | 9 | 1 | F | Portland |\n| Joel Freeland | 7 | 4 | 3 | 0 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 3 | 0 | N/A | Portland |\n| Alonzo Gee | 5 | 4 | 1 | 0 | 2-6 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 0 | 0 | N/A | Portland |\n| Chris Kaman | 16 | 2 | 4 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 4 | 0 | N/A | Portland |\n| Tim Frazier | 5 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 1 | 0 | 1 | N/A | Portland |\n| Steve Blake | 15 | 0 | 0 | 5 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Portland |\n| Meyers Leonard | 19 | 0 | 11 | 2 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 11 | 3 | N/A | Portland |\n| Allen Crabbe | 5 | 0 | 1 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Portland |" + }, + { + "from": "human", + "value": "Write a match report for the NBA game on 03/04/2015 between Lakers and Trail Blazers. Use the given statistics in the image as your reference." + }, + { + "from": "gpt", + "value": "The Portland Trail Blazers (49-26) routed the Los Angeles Lakers (20-55) at the Staples Center on Friday by a score of 107-77. Portland clinched the Northwest Division shortly before tip-off after Oklahoma City fell to Memphis, but that did n't stop the Trail Blazers from putting the exclamation point on the night. The Trail Blazers started hot and finished hot, outscoring the Lakers 26-12 in the first quarter and 33-14 in the fourth. Second-year guard C.J McCollum poured in a team-high 27 points in 27 minutes off the bench. With Friday 's win, the Trail Blazers completed the season sweep over the Lakers. Portland had n't won a division title outright since the 1998-99 season when it was a member of the Pacific Division. Damian Lillard posted 20 points on an efficient 8-of-15 shooting performance that included going 4-of-8 from beyond the arc. The Trail Blazers currently hold the fourth spot in the Western Conference, but have one less win than the Clippers and Spurs. The division title looms large in this case as the Warriors have already clinched the Clippers' division and the Spurs have an uphill climb to unseat the Grizzlies and Rockets in the Southwest. The Trail Blazers will play the second half of a back-to-back set Saturday when they host the Pelicans. Los Angeles' season-long woes continued Friday with another blowout loss in front of the home crowd. Friday 's defeat tied a not-so-prestigious franchise record for most losses in a single season. The Lakers are almost assured to have one of the bottom-five records in the league this season, which should allow them to have a top-five pick in the upcoming draft. Jordan Clarkson was again one of the few bright spots for the Lakers as he led them in scoring with 27 points. Clarkson also pulled down seven rebounds and dished out five assists in 35 minutes of action. The Lakers will kick off their `` home-and-home '' set against the Clippers on Sunday." + } + ] + }, + { + "id": "table_instructV_multi_round_18893", + "image": "table_instructV/images/TABMWP_8758.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 3 | 16 |\n| 1 | 4 |\n| 3 | 6 |\n| 3 | 11 |" + }, + { + "from": "human", + "value": "Please solve the problem based on the given image. Present the final answer in a JSON format, outlined as {\"answer\": \"\"}.\nProblem: Look at this table. Is this relation a function? (A) yes (B) no\nYour Solution:" + }, + { + "from": "gpt", + "value": "Look at the x-values in the table.\n\nThe x-value 3 is paired with multiple y-values, so the relation is not a function.\n\nTherefore, the final answer is {\"answer\": \"no\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_18894", + "image": "table_instructV/images/TAT-QA_b79d63e7-d5e7-4c50-a409-b978aebe3960.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| | Options with two year vesting | Options with three year vesting |\n| --- | --- | --- |\n| Volatility | 57.5% | 52.5% |\n| Dividend yield | 10.0 % | 10.0% |\n| Risk-free interest rate | 1.64% | 1.65% |\n| Weighted-average grant date fair value | $0.59 | $0.58 |" + }, + { + "from": "human", + "value": "Read the table to answer the following questions. Besides, your final answer should be in the JSON format {\"answer\": []} such as {\"answer\": [\"87.56\", \"12.43\"]}.\nWhat is the average dividend yield between options with vesting over a period of two and three years?" + }, + { + "from": "gpt", + "value": "Based on the given table:\n(10% + 10%)/2 = 10\nTherefore, the answer is {\"answer\": [\"10\"]}." + }, + { + "from": "human", + "value": "Looking at the table picture, what is the concise answer to the question posed below? Output the final answer as JSON in the format {\"answer\": []}.\nWhat are the respective volatility of options with 2 and 3 years vesting?" + }, + { + "from": "gpt", + "value": "Based on the table information, the answer is {\"answer\": [\"57.5%\", \"52.5%\"]}." + }, + { + "from": "human", + "value": "Look at the table, and use the information to answer the question. Present the final answer in a JSON format {\"answer\": []}.\nWhat is the change in Weighted-average grant date fair value between the options with two year vesting and three year vesting?" + }, + { + "from": "gpt", + "value": "Based on the given table:\n0.59-0.58 = 0.01\nTherefore, the answer is {\"answer\": [\"0.01\"]}." + }, + { + "from": "human", + "value": "Please consult the table and use it to respond to the question below. Present the final answer in a JSON format {\"answer\": []}.\nWhat is the average volatility between the options with 2 and 3 years vesting?" + }, + { + "from": "gpt", + "value": "According to this table, we have the following calculations: (52.5% + 57.5%)/2 = 55.\nThus, the answer is {\"answer\": [\"55\"]}." + } + ] + }, + { + "id": "table_instructV_multi_round_18997", + "image": "table_instructV/images/TabFact_1-17323529-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 48 | february 2 | miami | l 95 - 119 (ot) | zach randolph (21) | al thornton , marcus camby (7) | baron davis (9) | american airlines arena 15985 | 10 - 38 |\n| 49 | february 4 | orlando | l 96 - 125 (ot) | al thornton (27) | marcus camby (9) | fred jones (6) | amway arena 16101 | 10 - 39 |\n| 50 | february 6 | memphis | w 126 - 105 (ot) | zach randolph (35) | marcus camby (11) | baron davis (8) | fedexforum 10912 | 11 - 39 |\n| 51 | february 7 | atlanta | w 121 - 97 (ot) | al thornton (31) | zach randolph (9) | fred jones (9) | philips arena 18729 | 12 - 39 |\n| 52 | february 9 | charlotte | l 73 - 94 (ot) | zach randolph (20) | marcus camby (11) | baron davis (8) | time warner cable arena 10852 | 12 - 40 |\n| 53 | february 11 | new york | w 128 - 124 (ot) | eric gordon (30) | zach randolph (15) | baron davis (20) | staples center 16928 | 13 - 40 |\n| 54 | february 17 | phoenix | l 100 - 140 (ot) | eric gordon (24) | deandre jordan (7) | baron davis (6) | us airways center 18422 | 13 - 41 |\n| 55 | february 18 | phoenix | l 119 - 142 (ot) | al thornton (33) | deandre jordan (11) | baron davis (7) | staples center 18169 | 13 - 42 |\n| 56 | february 22 | portland | l 87 - 116 (ot) | eric gordon (21) | deandre jordan (12) | baron davis (6) | rose garden 20447 | 13 - 43 |\n| 57 | february 23 | golden state | w 118 - 105 (ot) | zach randolph , eric gordon (27) | zach randolph (11) | baron davis (10) | staples center 15383 | 14 - 43 |\n| 58 | february 25 | boston | w 93 - 91 (ot) | zach randolph (30) | zach randolph (12) | mardy collins , baron davis (5) | staples center 18609 | 15 - 43 |\n| 59 | february 27 | sacramento | l 86 - 98 (ot) | steve novak , baron davis (13) | marcus camby (13) | mike taylor (5) | arco arena 12846 | 15 - 44 |" + }, + { + "from": "human", + "value": "Analyze this table picture about '2008 - 09 los angeles clippers season' and classify whether the given table entails or disproves the hypothesis. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\n\nboston 's record is 15 - 43" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it entails the hypothesis. So, the answer is {\"answer\": \"entails\"}." + }, + { + "from": "human", + "value": "statement: the record for february 9th and the team charlotte is 13 - 40\nJudge whether the above statement is entailed or contradicted by the given table named '2008 - 09 los angeles clippers season'. The final result should be presented in the JSON format of {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "Based on the table information, the statement is not true. Thus, the answer is {\"answer\": \"contradicted\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_19080", + "image": "table_instructV/images/ToTTo_train_table_3628.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Name | Lifespan | Reign start | Reign end | Notes | Family | Image |\n| --- | --- | --- | --- | --- | --- | --- |\n| Ruben I | | 1080 | 1095 | | Rubenids | |\n| Constantine I | | 1095 | 1102 | | Rubenids | |\n| Thoros I | | 1102 | 1129 | | Rubenids | |\n| Constantine II | | 1129 | 1129 | | Rubenids | |\n| Leo I | | 1129 | 1140 | | Rubenids | |\n| Thoros II | | 1144 | 1169 | | Rubenids | |\n| Ruben II | | 1169 | 1170 | | Rubenids | |\n| Mleh | | 1170 | 1175 | | Rubenids | |\n| Ruben III | | 1175 | 1187 | | Rubenids | |\n| Leo II | | 1187 | 1198/1199 | Became first king as Leo I | Rubenids | |" + }, + { + "from": "human", + "value": "Help me finish a table-to-text task. You need to produce a one-sentence description of the highlighted table cells according to the provided table and its related information.\nTable title: List of monarchs of the Armenian Kingdom of Cilicia\nSection title: Lords/princes" + }, + { + "from": "gpt", + "value": "Thoros I was the third lord of Armenian Cilicia (c. 1102 – 1129)." + } + ] + }, + { + "id": "table_instructV_multi_round_19305", + "image": "table_instructV/images/TabFact_1-25800134-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| series | season | title | director | writer (s) | airdate |\n| --- | --- | --- | --- | --- | --- |\n| 118 | 1 | matt for murder | richard whorf | john meston | september 13 , 1958 |\n| 119 | 2 | the patsy | richard whorf | john meston | september 20 , 1958 |\n| 120 | 3 | gunsmuggler | richard whorf | john meston | september 27 , 1958 |\n| 122 | 5 | letter of the law | richard whorf | john meston | october 11 , 1958 |\n| 123 | 6 | thoroughbreds | richard whorf | john meston | october 18 , 1958 |\n| 124 | 7 | stage hold - up | richard whorf | john meston | october 25 , 1958 |\n| 125 | 8 | lost rifle | richard whorf | john meston | november 1 , 1958 |\n| 126 | 9 | land deal | ted post | les crutchfield | november 8 , 1958 |\n| 127 | 10 | lynching man | richard whorf | john meston | november 15 , 1958 |\n| 128 | 11 | how to kill a friend | richard whorf | john meston | november 22 , 1958 |\n| 129 | 12 | grass | richard whorf | john meston | november 29 , 1958 |\n| 130 | 13 | the cast | jesse hibbs | john meston | december 6 , 1958 |\n| 131 | 14 | robber bridegroom | richard whorf | john meston | december 13 , 1958 |\n| 132 | 15 | snakebite | ted post | john meston | december 20 , 1958 |\n| 134 | 17 | young love | seymour berns | john meston | january 3 , 1959 |\n| 136 | 19 | passive resistance | ted post | john meston | january 17 , 1959 |\n| 138 | 21 | jayhawkers | andrew v mclaglen | john meston | january 31 , 1959 |\n| 140 | 23 | sky | ted post | les crutchfield | february 14 , 1959 |\n| 141 | 24 | doc quits | edward ludlum | john meston | february 21 , 1959 |\n| 142 | 25 | the bear | jesse hibbs | john meston | february 28 , 1959 |\n| 143 | 26 | the coward | jesse hibbs | john meston | march 7 , 1959 |\n| 144 | 27 | the fu | andrew v mclaglen | john meston | march 14 , 1959 |\n| 145 | 28 | wind | arthur hiller | john meston | march 21 , 1959 |\n| 146 | 29 | fawn | andrew v mclaglen | john meston | april 4 , 1959 |\n| 148 | 31 | murder warrant | andrew v mclaglen | john meston | april 18 , 1959 |\n| 149 | 32 | change of heart | andrew v mclaglen | john meston | april 25 , 1959 |\n| 150 | 33 | buffalo hunter | ted post | john meston | may 2 , 1959 |\n| 151 | 34 | the choice | ted post | john meston | may 9 , 1959 |\n| 152 | 35 | there never was a horse | andrew v mclaglen | john meston | may 16 , 1959 |\n| 153 | 36 | print asper | ted post | john meston | may 23 , 1959 |\n| 154 | 37 | the constable | arthur hiller | john meston | may 30 , 1959 |" + }, + { + "from": "human", + "value": "According to the table information regarding 'list of gunsmoke television episodes', tell me whether the provided table supports or conflicts with the hypothesis. Output the final answer as JSON in the format {\"answer\": \"\"}.\nles crutchfield only wrote two episodes over a long span of gunsmoke seasons" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it supports the hypothesis. Hence, the answer is {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "Presented with a table with the title 'list of gunsmoke television episodes', distinguish whether the table confirms or challenges the following claim. Output the final answer as JSON in the format {\"answer\": \"\"}.\nclaim: john meston was the writer for over 25 gunsmoke episodes" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it confirms the claim. So, the answer is {\"answer\": \"confirms\"}." + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following claim is entailed or refuted by the table. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\ntable title:list of gunsmoke television episodes\nclaim: john meston was the writer for less than two dozen gunsmoke episodes" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the claim is not valid. Hence, the answer is {\"answer\": \"refuted\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title 'list of gunsmoke television episodes', and determine whether the given statement is substantiated or disputed by the table information. Show your final answer in the JSON format {\"answer\": \"\"}.\nstatement: matt for murder aired september 13 , 1958 while the bear aired before that date" + }, + { + "from": "gpt", + "value": "According to the table, the statement is disputed by the table information. Therefore, the final answer: {\"answer\": \"disputed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_19332", + "image": "table_instructV/images/TabFact_2-12617978-14.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| episode | first aired | entrepreneur (s) | company or product name | money requested | investing dragon (s) |\n| --- | --- | --- | --- | --- | --- |\n| episode 1 | 9 september 2012 | bee london | weave got style | 85000 | hilary devey |\n| episode 1 | 9 september 2012 | lewis blitz , james gold and richard gold | skinny dip | 120000 | peter jones |\n| episode 2 | 16 september 2012 | geoff and colette bell | shampooheads | 75000 | theo paphitis and hilary devey |\n| episode 3 | 23 september 2012 | helen and lisa tse | sweet mandarin | 50000 | hilary devey and duncan bannatyne |\n| episode 3 | 23 september 2012 | kellie forbes and gill hayward | yuubag | 60000 | peter jones and deborah meaden |\n| episode 4 | 30 september 2012 | harrison woods | primal parking | 60000 | peter jones and theo paphitis |\n| episode 5 | 7 october 2012 | kiryl chykeyuk and artsiom stavenka | old bond | 90000 | deborah meaden and theo paphitis |\n| episode 5 | 7 october 2012 | dupsy abiola | intern avenue | 100000 | peter jones |\n| episode 6 | 14 october 2012 | marie sawle | billy + margot | 60000 | deborah meaden |\n| episode 6 | 14 october 2012 | henry and philip blake | woodblocx | 75000 | peter jones |\n| episode 7 | 21 october 2012 | umer ashraf | icafe | 80000 | duncan bannatyne |\n| episode 7 | 21 october 2012 | ben hardyment | zapper | 250000 | theo paphitis |\n| episode 8 | 28 october 2012 | paul turner | a turner & sons sausage ltd | 80000 | peter jones |\n| episode 9 | 11 november 2012 | ashley sayed | karuma innovations | 150000 | peter jones |\n| episode 9 | 11 november 2012 | anne and keith proctor | pro - tec covers | 75000 | hilary devey and duncan bannatyne |\n| episode 10 | 18 november 2012 | mark richardson | bionic glove technology europe ltd | 100000 | deborah meaden and theo paphitis |\n| episode 11 | 25 november 2012 | mark ferguson and emma jones | mybunjee | 70000 | peter jones |\n| episode 11 | 25 november 2012 | luke booth and christopher eves | p4ck | 50000 | theo paphitis |\n| episode 12 | 2 december 2012 | naomi kibble and helen mcavoy | rocktails | 80000 | peter jones and duncan bannatyne |\n| episode 12 | 2 december 2012 | john spence | megaflatables | 37500 40000 was given instead | peter jones |\n| christmas special | 27 december 2012 | allison whitmarsh | propermaid | 50000 | deborah meaden |" + }, + { + "from": "human", + "value": "Examine the table titled 'dragons' den (uk)' and judge whether the table confirms or refutes the following claim. Output the final answer as JSON in the format {\"answer\": \"\"}.\nthe company or product name whre the entrepreneur (s) geoff and colette bell had money requested of 75000 is shampooheads" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it confirms the claim. Hence, the answer is {\"answer\": \"confirms\"}." + }, + { + "from": "human", + "value": "Based on the table titled 'dragons' den (uk)' and the subsequent hypothesis, determine if the hypothesis is upheld or challenged by the table. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nhypothesis: mark ferguson and emma jones requested 70000 on episode 11" + }, + { + "from": "gpt", + "value": "According to the table, the hypothesis is upheld by the table information. Therefore, the final answer: {\"answer\": \"upheld\"}." + }, + { + "from": "human", + "value": "In this task, you are given a table with its title 'dragons' den (uk)', your goal is to distinguish whether this table supports or conflicts with the hypothesis. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nmybunjee requested 70000 on episode 11 and episode 12" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table conflicts with the validity of the hypothesis. Therefore, the final answer: {\"answer\": \"conflicts with\"}." + }, + { + "from": "human", + "value": "Examine the table with the given title 'dragons' den (uk)' and judge whether the claim is affirmed or opposed based on the table's content. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nentrepreneurs luke booth and christopher eves requested 70000 on episode 11 for mybunjee" + }, + { + "from": "gpt", + "value": "According to the table, the claim is opposed by the table information. Therefore, the final answer: {\"answer\": \"opposed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_19385", + "image": "table_instructV/images/TabFact_1-25017530-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| pick | cfl team | player | position | college |\n| --- | --- | --- | --- | --- |\n| 24 | bc lions (via toronto ) | nate binder | wr | tusculum college |\n| 25 | bc lions (via toronto via edmonton via winnipeg) | akeem foster | wr | st francis xavier |\n| 26 | toronto argonauts (via bc ) | joel reinders | ot | waterloo |\n| 27 | hamilton tiger - cats (via edmonton ) | chris rwabukamba | db | duke |\n| 28 | winnipeg blue bombers (via hamilton ) | christopher smith | lb | queen 's |\n| 29 | winnipeg blue bombers (via calgary ) | anthony woodson | rb | calgary |\n| 30 | toronto argonauts (via bc via saskatchewan) | steven turner | wr | bishop 's |" + }, + { + "from": "human", + "value": "Determine the relationship between the table and the hypothesis, classify it as substantiated or disproved. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nTable title: 2010 cfl draft\nhypothesis: the name of the college nate binder played for , was queen 's" + }, + { + "from": "gpt", + "value": "According to the table, the hypothesis is disproved by the table information. Therefore, the final answer: {\"answer\": \"disproved\"}." + }, + { + "from": "human", + "value": "Determine the relationship between the table and the statement, classify it as entailed or opposed. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nTable title: 2010 cfl draft\nstatement: the least pick number for steven turner was 30" + }, + { + "from": "gpt", + "value": "According to the table, the statement is entailed by the table information. Therefore, the final answer: {\"answer\": \"entailed\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title '2010 cfl draft', and determine whether the table supports or challenges the given statement. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nstatement: the position for christopher smith was lb" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it supports the statement. So, the answer is {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "Examine the table image with the title '2010 cfl draft', classify whether the statement is supported or contradicted based on the table's content and title. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nstatement: christopher smith from the waterloo college played as a lb" + }, + { + "from": "gpt", + "value": "Based on the table information, the statement is not true. Thus, the answer is {\"answer\": \"contradicted\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_19399", + "image": "table_instructV/images/TABMWP_19339.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Number of bags | Number of red beads |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | ? |" + }, + { + "from": "human", + "value": "Each bag has 5 red beads. How many red beads are in 4 bags? (Unit: red beads)\n\nSolve the above problem using the table information. Conclude your response with a final answer in the JSON format {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "Count by fives. Use the chart: there are 20 red beads in 4 bags.\n\nTherefore, the final answer is {\"answer\": \"20\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_19430", + "image": "table_instructV/images/ToTTo_train_table_28202.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Title | Year | Format | Role | Notes |\n| --- | --- | --- | --- | --- |\n| Dark Realm | 2001 | TV series | Girl | Episode: \"She's the One\" |\n| My Family | 2001 | TV series | Donna | Episode: \"Trust Never Sleeps\" |\n| Sirens | 2002 | TV film | Helen Grey | |\n| Footballers' Wives | 2002–2003 | TV series | Chardonnay Lane-Pascoe | Regular role |\n| Modigliani | 2004 | Film | Beatrice Hastings | |\n| La Femme Musketeer | 2004 | TV film | Valentine D'Artagnan | |\n| House of 9 | 2004 | Film | Claire Levy | |\n| Dead Fish | 2005 | Film | Hostess | |\n| Hotel Babylon | 2006 | TV series | Alice | 1 episode |\n| The Royal | 2006 | TV series | Debbie Guthrie | Episode: \"Thinking Too Hard\" |\n| Doctors | 2006 | Soap opera | Megan Reeves | Episode: \"Running Time\" |\n| Two Families | 2007 | Film | Giulia | |\n| New Street Law | 2007 | TV series | Tessa Darling | |\n| Coronation Street | 2007 | Soap opera | Lindsey Gordon | 3 episodes |\n| Echo Beach | 2008 | TV series | Angela Cole | 12 episodes |\n| Plus One | 2009 | TV series | Nicola Dare | Episode: \"I Do a Lot of Work for Charity\" |\n| Lesbian Vampire Killers | 2009 | Film | Blonde | |\n| Psych 9 | 2010 | Film | Anne Marks | |\n| Pimp | 2010 | Film | Tammy | |\n| Love Like Hers | 2012 | Film (short) | Mother | |\n| Silent Hours | 2015 | Film | Rosemary Calthorpe | |\n| Doctors | 2016 | Soap opera | Jules Moule | Episode: \"Without You\" |\n| Death in Paradise | 2016 | TV series | Ella Thomas | 1 Episode: \"Lost Identity\" |\n| Casualty | 2017 | TV series | Susan Beckett | 1 Episode |\n| Hollyoaks | 2018– | Soap opera | Scarlett Morgan | Recurring role |\n| Holby City | 2018 | TV series | Susan Beckett | 1 Episode |" + }, + { + "from": "human", + "value": "This image shows a Wikipedia table extracted from a section.\nTable title: Susie Amy\nTable section title: Filmography\n Using the provided table and its metadata, write a sentence to summarize the information in the highlighted table cells." + }, + { + "from": "gpt", + "value": "In 2017, Amy played Susan Beckett in Casualty." + } + ] + }, + { + "id": "table_instructV_multi_round_19586", + "image": "table_instructV/images/Rotowire_train_table_327.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Jazz | Utah | 96 | 21 | 19 | 29 | 20 | 14 | 54 | 15 | 40 | 45 | 28 | 37 | 38 | | | | |\n| Warriors | Golden State | 103 | 26 | 16 | 21 | 26 | 19 | 46 | 18 | 44 | 72 | 34 | 68 | 7 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Jazz | | | | | | | | | | | | | | | | | | |\n| Gordon Hayward | 46 | 21 | 4 | 1 | 7-20 | 35% | 3-9 | 33% | 4-8 | 50% | 3 | 4 | 0 | 3 | 1 | 4 | F | Utah |\n| Rodney Hood | 39 | 20 | 6 | 0 | 7-16 | 44% | 3-9 | 33% | 3-5 | 60% | 1 | 1 | 0 | 1 | 5 | 2 | G | Utah |\n| Derrick Favors | 19 | 15 | 7 | 0 | 7-11 | 64% | 0-0 | 0% | 1-4 | 25% | 1 | 0 | 0 | 3 | 4 | 1 | F | Utah |\n| Shelvin Mack | 41 | 12 | 6 | 9 | 5-17 | 29% | 1-5 | 20% | 1-2 | 50% | 2 | 3 | 0 | 2 | 4 | 5 | G | Utah |\n| Rudy Gobert | 38 | 11 | 18 | 2 | 5-10 | 50% | 0-0 | 0% | 1-4 | 25% | 0 | 1 | 2 | 4 | 14 | 4 | C | Utah |\n| Trey Lyles | 25 | 6 | 5 | 1 | 3-9 | 33% | 0-4 | 0% | 0-0 | 0% | 2 | 0 | 0 | 1 | 4 | 3 | N/A | Utah |\n| Raul Neto | 12 | 5 | 1 | 0 | 1-2 | 50% | 1-1 | 100% | 2-2 | 100% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Utah |\n| Trevor Booker | 14 | 3 | 5 | 1 | 1-4 | 25% | 0-1 | 0% | 1-4 | 25% | 0 | 3 | 0 | 2 | 3 | 2 | N/A | Utah |\n| Joe Ingles | 31 | 3 | 2 | 0 | 1-3 | 33% | 1-3 | 33% | 0-0 | 0% | 2 | 2 | 0 | 0 | 2 | 1 | N/A | Utah |\n| Trey Burke | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Chris Johnson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Jeff Withey | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 42 | 31 | 7 | 4 | 11-23 | 48% | 5-10 | 50% | 4-5 | 80% | 2 | 5 | 0 | 2 | 5 | 4 | G | Golden State |\n| Klay Thompson | 39 | 18 | 4 | 1 | 6-15 | 40% | 3-8 | 38% | 3-4 | 75% | 0 | 0 | 0 | 0 | 4 | 1 | G | Golden State |\n| Harrison Barnes | 42 | 15 | 11 | 1 | 6-15 | 40% | 1-8 | 13% | 2-4 | 50% | 0 | 0 | 0 | 1 | 10 | 2 | F | Golden State |\n| Draymond Green | 43 | 13 | 8 | 6 | 5-10 | 50% | 1-3 | 33% | 2-3 | 67% | 0 | 4 | 3 | 2 | 6 | 3 | F | Golden State |\n| Leandro Barbosa | 14 | 7 | 1 | 0 | 3-5 | 60% | 1-2 | 50% | 0-0 | 0% | 2 | 0 | 0 | 0 | 1 | 0 | N/A | Golden State |\n| Shaun Livingston | 28 | 6 | 6 | 4 | 2-6 | 33% | 0-0 | 0% | 2-2 | 100% | 2 | 2 | 1 | 1 | 5 | 2 | N/A | Golden State |\n| Ian Clark | 9 | 5 | 1 | 0 | 2-3 | 67% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Golden State |\n| Andrew Bogut | 17 | 4 | 5 | 2 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 1 | 1 | 4 | 4 | C | Golden State |\n| Marreese Speights | 12 | 4 | 1 | 0 | 2-4 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 3 | 1 | 1 | 0 | 3 | N/A | Golden State |\n| Anderson Varejao | 9 | 0 | 1 | 1 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 1 | N/A | Golden State |\n| Brandon Rush | 9 | 0 | 1 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Golden State |\n| James Michael McAdoo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |" + }, + { + "from": "human", + "value": "Please provide the cell values contained in these rows of the table:\nthe 16th row\nthe 8th row\n\nShow the cells in a row in the JSON format {\"row_id\":\"\", \"cell_list\":\"\"}. For example, {\"row_id\":\"1\", \"cell_list\": [\"A\", \"B\", \"C\"]}." + }, + { + "from": "gpt", + "value": "The cell values of target rows are as follows:\nFor the 16th row: {\"row_id\": \"16\", \"cell_list\": ['Trey Burke', 'N/A', 'N/A', 'N/A', 'N/A', 'N/A', 'N/A', 'N/A', 'N/A', 'N/A', 'N/A', 'N/A', 'N/A', 'N/A', 'N/A', 'N/A', 'N/A', 'N/A', 'Utah']}\nFor the 8th row: {\"row_id\": \"8\", \"cell_list\": ['Rodney Hood', '39', '20', '6', '0', '7-16', '44%', '3-9', '33%', '3-5', '60%', '1', '1', '0', '1', '5', '2', 'G', 'Utah']}" + }, + { + "from": "human", + "value": "Taking into account the statistical tables from the NBA match between Jazz and Warriors on 30/03/2016, how would you describe the game in a comprehensive summary that highlights its significant events and outcomes?" + }, + { + "from": "gpt", + "value": "The Golden State Warriors (68-7) defeated the host Utah Jazz (37-38) in overtime,103-96, Wednesday at Vivint Smart Home Arena. The Jazz put up a very strong fight but fell short as they were out-played in the overtime period, by a record-chasing Warriors squad. Utah led by eight points with seven minutes left in regulation but the Warriors turned it up late, in order to earn an important victory in their quest for NBA history. Klay Thompson managed to sink a desperation three-pointer with only 15 seconds left, to tie the game and ultimately send it to overtime, where the Warriors dominated. Meanwhile, this comes as a devastating loss for the Jazz, who came into this game only half a game ahead of eighth and ninth place in the Western Conference standings, as they are now at risk of falling outside the top-eight. Stephen Curry was business as usual as he dropped 31 points (11-23 FG, 5-10 3Pt, 4-5 FT), along with seven rebounds, four assists and two steals, in 42 minutes. Klay Thompson chipped in 18 points, while Harrison Barnes added 15 points and 11 rebounds. Draymond Green impacted all facets of the game, with 13 points, eight rebounds, six assists and three blocked shots, in 43 minutes. The Warriors gave up an ugly 18 turnovers but managed to overcome that by rebounding well and holding the Jazz to only 40 percent shooting from the field. All five starters scored in double figures for Utah. Gordon Hayward led the way with 21 points, although he struggled shooting, going 7-20 from the field. Rudy Gobert chipped in 11 points along with a monstrous 18 rebounds, while Rodney Hood contributed 20 points and six rebounds. Shelvin Mack was solid at the point, with 12 points, nine assists, six rebounds and two steals, in 41 minutes. The Jazz struggled from deep, as they shot 9-32 from long range, and also struggled from the free throw line, where they went 13-29. The Jazz will look to keep their playoff hopes alive, as they host the Timberwolves on Friday. The Warriors will continue to pursue history, as they host the Celtics on Friday." + } + ] + }, + { + "id": "table_instructV_multi_round_19596", + "image": "table_instructV/images/TabFact_1-12886178-4.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| club | played | won | drawn | lost | points for | points against | tries for | tries against | try bonus | losing bonus | points |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| club | played | won | drawn | lost | points for | points against | tries for | tries against | try bonus | losing bonus | points |\n| garndiffaith rfc | 22 | 18 | 1 | 3 | 611 | 321 | 86 | 42 | 13 | 1 | 88 |\n| pill harriers rfc | 22 | 16 | 0 | 6 | 561 | 341 | 84 | 41 | 13 | 3 | 80 |\n| pontypool united rfc | 22 | 12 | 2 | 8 | 411 | 280 | 51 | 31 | 5 | 4 | 61 |\n| croesyceiliog rfc | 22 | 12 | 1 | 9 | 381 | 315 | 53 | 38 | 4 | 4 | 58 |\n| rhymney rfc | 22 | 11 | 1 | 10 | 487 | 368 | 68 | 44 | 7 | 4 | 57 |\n| nelson rfc | 22 | 11 | 1 | 10 | 406 | 335 | 48 | 42 | 5 | 6 | 57 |\n| blaina rfc | 22 | 12 | 0 | 10 | 376 | 417 | 40 | 51 | 2 | 1 | 51 |\n| newport hsob rfc | 22 | 9 | 0 | 13 | 298 | 503 | 37 | 70 | 2 | 3 | 41 |\n| gwernyfed rfc | 22 | 8 | 1 | 13 | 367 | 438 | 44 | 55 | 4 | 3 | 41 |\n| cwmbran rfc | 22 | 9 | 0 | 13 | 265 | 412 | 29 | 55 | 0 | 3 | 39 |\n| abertillery rfc | 22 | 8 | 1 | 13 | 290 | 420 | 33 | 54 | 1 | 3 | 38 |\n| new tredegar rfc | 22 | 1 | 2 | 19 | 275 | 578 | 33 | 83 | 2 | 6 | 16 |" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table with its caption 'wru division three east', the goal is to distinguish whether the following claim is entailed or disputed by the table. Output the final answer as JSON in the format {\"answer\": \"\"}.\nthe try bonus count for the club whose tries against count is more than 83 , is 2" + }, + { + "from": "gpt", + "value": "Based on the table information, the claim is not true. Thus, the answer is {\"answer\": \"disputed\"}." + }, + { + "from": "human", + "value": "This is a table image titled 'wru division three east', help me determine if the table confirms or opposes the following hypothesis. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\npontypool united rfc played 22 games , won 12 games , lost 8 games , and had points of 58" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it opposes the hypothesis. Hence, the answer is {\"answer\": \"opposes\"}." + }, + { + "from": "human", + "value": "Give you a table picture about 'wru division three east', determine whether the following sentence is entailed or disproved by the table's content. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\n\nthe new tredegar rfc 's bonus count is 2" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the sentence. Hence, the answer is {\"answer\": \"entailed\"}." + }, + { + "from": "human", + "value": "Give you a table titled 'wru division three east' and a statement which is 'cwmbran rfc club has 29 tries for and 55 tries against', select the correct relation between the table and the statement based on the table information. Output the final answer as JSON in the format {\"answer\": \"\"}.\n\n(A) confirms (the statement is true)\n(B) refutes (the statement is false)" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table confirms the validity of the statement. Therefore, the final answer: {\"answer\": \"confirms\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_19690", + "image": "table_instructV/images/ToTTo_train_table_33682.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Civil Parish | Council Area | County 1891 | Settlements | Notes | Area (hectares) (1930 boundaries) | Population (2011) (1930 boundaries) |\n| --- | --- | --- | --- | --- | --- | --- |\n| Abbey St Bathans | Scottish Borders | Berwickshire | | | 3,019 | 106 |\n| Abdie | Fife | Fife | | | 728 | 421 |\n| Abercorn | Falkirk West Lothian | Linlithgowshire | | | 1,317 | 458 |\n| Aberdalgie | Perth and Kinross | Perthshire | | | 1,155 | 402 |\n| Aberdeen | City of Aberdeen | Aberdeenshire | | | 4,519 | 160,738 |\n| Aberdour | Aberdeenshire | Aberdeenshire | | | 6,920 | 763 |\n| Aberdour | Fife | Fife | | | 3,566 | 1,972 |\n| Aberfoyle | Stirling | Perthshire | | | 4,986 | 1,065 |\n| Aberlady | East Lothian | Haddingtonshire | | | 1,885 | 1,514 |\n| Aberlemno | Angus | Forfarshire | | | 4,705 | 544 |\n| Aberlour | Moray | Banffshire | | | 4,026 | 2,204 |\n| Abernethy | Fife Perth and Kinross | Perthshire | | Partly in Fife until 1891 | 3,418 | 1,826 |\n| Abernethy and Kincardine | Highland | Inverness-shire | | Partly in Morayshire until 1891 | 34,992 | 1,302 |\n| Abernyte | Perth and Kinross | Perthshire | | | 1,906 | 244 |\n| Aboyne and Glen Tanar | Aberdeenshire | Aberdeenshire | | | 12,172 | 2,961 |\n| Airlie | Angus | Forfarshire | | | 4,247 | 506 |\n| Airth | Falkirk | Stirlingshire | | | 2,914 | 2,438 |\n| Alford | Aberdeenshire | Aberdeenshire | | | 3,736 | 2,860 |\n| Alloa | Clackmannanshire | Clackmannanshire | | Partly in Perthshire until 1891 | 5,489 | 30,443 |\n| Alness | Highland | Ross and Cromarty | | | 534 | 3,093 |\n| Alva | Clackmannanshire | Clackmannanshire | | In Stirlingshire until 1891 | 248 | 7,577 |\n| Alvah | Aberdeenshire | Banffshire | | Partly in Aberdeenshire until 1891 | 6,011 | 665 |\n| Alves | Moray | Morayshire | | | 2,158 | 505 |\n| Alvie | Highland | Inverness-shire | | | 29,525 | 564 |\n| Alyth | Perth and Kinross | Perthshire | | Partly in Forfarshire until 1891 | 7,874 | 3,054 |\n| Ancrum | Scottish Borders | Roxburghshire | | | 4,916 | 824 |\n| Annan | Dumfries and Galloway | Dumfriesshire | | | 5,762 | 10,503 |\n| Anstruther Easter | Fife | Fife | | | 10 | 315 |\n| Anstruther Wester | Fife | Fife | | | 41 | 741 |\n| Anwoth | Dumfries and Galloway | Kirkcudbrightshire | | | 3,125 | 737 |\n| Applecross | Highland | Ross and Cromarty | Shieldaig | | 47,522 | 576 |\n| Applegarth | Dumfries and Galloway | Dumfriesshire | | | 6,179 | 498 |\n| Arbirlot | Angus | Forfarshire | | | 2,325 | 1,082 |\n| Arbroath and St Vigeans | Angus | Forfarshire | | | 5,664 | 25,026 |\n| Arbuthnott | Aberdeenshire | Kincardineshire | | | 4,233 | 427 |\n| Ardchattan and Muckairn | Argyll and Bute Highland | Argyllshire | Bonawe, Connel, Taynuilt | | 35,378 | 2,536 |\n| Ardclach | Highland | Nairnshire | | | 25,402 | 483 |\n| Ardersier | Highland | Inverness-shire | | | 1,463 | 1,167 |\n| Ardgour | Highland | Argyllshire | | | 48,545 | 441 |\n| Ardnamurchan | Highland | Argyllshire | | | 32,156 | 1,144 |\n| Ardoch | Perth and Kinross | Perthshire | | | 10,690 | 1,156 |\n| Ardrossan | North Ayrshire | Ayrshire | | | 1,892 | 21,833 |\n| Arisaig and Moidart | Highland | Inverness-shire | Ardmolich, Arisaig, Glenfinnan, Lochailort | | 55,629 | 894 |\n| Arngask | Perth and Kinross | Perthshire | | Partly in Fife, partly in Kinross-shire until 1891 | 2,004 | 931 |\n| Arrochar | Argyll and Bute | Dunbartonshire | Ardlui, Arrochar, Tarbet | | 11,391 | 728 |\n| Ashkirk | Scottish Borders | Selkirkshire | | Mostly in Roxburghshire until 1891 | 3,786 | 246 |\n| Assynt | Highland | Sutherland | | | 47,932 | 1,021 |\n| Athelstaneford | East Lothian | Haddingtonshire | | | 2,162 | 720 |\n| Auchindoir and Kearn | Aberdeenshire | Aberdeenshire | | | 8,576 | 545 |\n| Auchinleck | East Ayrshire | Ayrshire | | | 6,482 | 5,852 |\n| Auchterarder | Perth and Kinross | Perthshire | | | 4,814 | 4,747 |\n| Auchterderran | Fife | Fife | | | 2,944 | 11,732 |\n| Auchtergaven | Perth and Kinross | Perthshire | | | 8,528 | 2,748 |\n| Auchterhouse | Angus | Forfarshire | | | 2,224 | 700 |\n| Auchterless | Aberdeenshire | Aberdeenshire | | | 6,789 | 819 |\n| Auchtermuchty | Fife | Fife | | | 2,285 | 2,603 |\n| Auchtertool | Fife | Fife | | | 19 | 419 |\n| Auldearn | Highland | Nairnshire | | | 6,000 | 1,350 |\n| Avoch | Highland | Ross and Cromarty | | | 2,466 | 1,408 |\n| Avondale | South Lanarkshire | Lanarkshire | | | 17,075 | 8,787 |\n| Ayr | South Ayrshire | Ayrshire | | | 4,860 | 47,120 |\n| Ayton | Scottish Borders | Berwickshire | | | 2,088 | 1,786 |\n| Baldernock | East Dunbartonshire | Stirlingshire | | | 2,875 | 1,482 |\n| Balfron | Stirling | Stirlingshire | | | 4,283 | 2,156 |\n| Ballantrae | Dumfries and Galloway South Ayrshire | Ayrshire | | | 9,574 | 636 |\n| Ballingry | Fife | Fife | | Partly in Kinross-shire until 1891 | 1,178 | 7,452 |\n| Balmaclellan | Dumfries and Galloway | Kirkcudbrightshire | | | 12,948 | 476 |\n| Balmaghie | Dumfries and Galloway | Kirkcudbrightshire | | | 6,399 | 567 |\n| Balmerino | Fife | Fife | | | 1,415 | 946 |\n| Balquhidder | Stirling | Perthshire | Balquhidder, Lochearnhead | | 21,145 | 663 |\n| Banchory-Devenick | Aberdeenshire | Kincardineshire | | | 3,364 | 8,823 |\n| Banchory-Ternan | Aberdeenshire | Kincardineshire | | Partly in Aberdeenshire until 1891 | 8,524 | 8,915 |\n| Banff | Aberdeenshire | Banffshire | | | 2,861 | 4,420 |\n| Barr | South Ayrshire | Ayrshire | | | 1,418 | 240 |\n| Barra | Na h-Eileanan Siar | Inverness-shire | Castlebay | | 9,199 | 1,264 |\n| Barry | Angus | Forfarshire | | | 2,415 | 8,276 |\n| Barvas | Na h-Eileanan Siar | Ross and Cromarty | | | 41,089 | 3,244 |\n| Bathgate | West Lothian | Linlithgowshire | | | 4,953 | 32,691 |\n| Beath | Fife | Fife | | | 3,533 | 17,351 |\n| Bedrule | Scottish Borders | Roxburghshire | | | 1,626 | 183 |\n| Beith | North Ayrshire | Ayrshire | | Partly in Renfrewshire until 1891 | 5,025 | 7,369 |\n| Belhelvie | Aberdeenshire | Aberdeenshire | | | 5,080 | 5,082 |\n| Bellie | Moray | Morayshire | | Partly in Banffshire until 1891 | 6,513 | 2,498 |\n| Bendochy | Perth and Kinross | Perthshire | | | 797 | 67 |\n| Benholm | Aberdeenshire | Kincardineshire | | | 1,826 | 877 |\n| Bervie | Aberdeenshire | Kincardineshire | | | 1,086 | 3,087 |\n| Biggar | South Lanarkshire | Lanarkshire | | | 3,198 | 2,722 |\n| Birnie | Moray | Morayshire | | | 2,375 | 351 |\n| Birsay and Harray | Orkney | Orkney | | | 10,594 | 1,389 |\n| Birse | Aberdeenshire | Aberdeenshire | | | 14,682 | 899 |\n| Blackford | Perth and Kinross | Perthshire | | | 9,315 | 1,628 |\n| Blair Atholl | Perth and Kinross | Perthshire | | | 71,720 | 926 |\n| Blairgowrie | Perth and Kinross | Perthshire | | | 6,824 | 6,470 |\n| Blantyre | South Lanarkshire | Lanarkshire | | | 1,433 | 18,296 |\n| Boharm | Moray | Banffshire | | Partly in Morayshire until 1891 | 7,001 | 534 |\n| Boleskine and Abertarff | Highland | Inverness-shire | | | 45,704 | 1,384 |\n| Bolton | East Lothian | Haddingtonshire | | | 465 | 110 |\n| Bo'ness and Carriden | Falkirk | Linlithgowshire | | | 2,650 | 15,540 |\n| Bonhill | Argyll and Bute West Dunbartonshire | Dunbartonshire | | | 2,017 | 20,684 |\n| Borgue | Dumfries and Galloway | Kirkcudbrightshire | | | 5,374 | 495 |\n| Borthwick | Midlothian | Midlothian | | | 2,916 | 2,841 |\n| Bothwell | North Lanarkshire South Lanarkshire | Lanarkshire | | | 5,319 | 80,437 |\n| Botriphnie | Moray | Banffshire | | | 4,747 | 344 |\n| Bourtie | Aberdeenshire | Aberdeenshire | | | 2,802 | 430 |\n| Bowden | Scottish Borders | Roxburghshire | | | 2,083 | 579 |\n| Bower | Highland | Caithness | | | 10,032 | 633 |\n| Boyndie | Aberdeenshire | Banffshire | | | 3,754 | 1,604 |\n| Bracadale | Highland | Inverness-shire | Bracadale, Bualintur, Drynoch, Fiskavaig, Portnalong, Talisker | | 37,999 | 799 |\n| Brechin | Angus | Forfarshire | | | 3,988 | 8,075 |\n| Bressay | Shetland | Zetland | | | 3,086 | 368 |\n| Broughton, Glenholm and Kilbucho | Scottish Borders | Peeblesshire | | United in 1870 | 13,636 | 648 |\n| Buchanan | Stirling | Stirlingshire | | | 24,096 | 550 |\n| Buittle | Dumfries and Galloway | Kirkcudbrightshire | | | 5,522 | 582 |\n| Bunkle and Preston | Scottish Borders | Berwickshire | | | 3,395 | 344 |\n| Burntisland | Fife | Fife | | | 911 | 6,383 |\n| Cabrach | Moray | Banffshire | | Partly in Aberdeenshire until 1891 | 13,016 | 69 |\n| Cadder | East Dunbartonshire City of Glasgow North Lanarkshire | Lanarkshire | | | 5,756 | 52,967 |\n| Caddonfoot | Scottish Borders | Selkirkshire | | | 8,317 | 912 |\n| Caerlaverock | Dumfries and Galloway | Dumfriesshire | | | 3,419 | 635 |\n| Cairnie | Aberdeenshire | Aberdeenshire | | | 6,184 | 569 |\n| Callander | Stirling | Perthshire | | | 17,698 | 3,463 |\n| Cambuslang | South Lanarkshire | Lanarkshire | | | 2,424 | 26,426 |\n| Cambusnethan | North Lanarkshire | Lanarkshire | | | 4,371 | 44,218 |\n| Cameron | Fife | Fife | | | 3,049 | 415 |\n| Campbeltown | Argyll and Bute | Argyllshire | | | 17,727 | 6,230 |\n| Campsie | East Dunbartonshire | Stirlingshire | | | 7,339 | 10,630 |\n| Canisbay | Highland | Caithness | | | 10,098 | 927 |\n| Canonbie | Dumfries and Galloway | Dumfriesshire | | | 7,628 | 1,192 |\n| Caputh | Perth and Kinross | Perthshire | | Partly in Forfarshire until 1891 | 5,121 | 688 |\n| Cardross | Argyll and Bute West Dunbartonshire | Dunbartonshire | | | 4,487 | 12,286 |\n| Careston | Angus | Forfarshire | | | N/A | N/A |\n| Cargill | Perth and Kinross | Perthshire | | | 4,836 | 1,255 |\n| Carluke | South Lanarkshire | Lanarkshire | | | 7,076 | 18,329 |\n| Carmichael | South Lanarkshire | Lanarkshire | | | 6,711 | 991 |\n| Carmunnock | City of Glasgow South Lanarkshire | Lanarkshire | | Partly in Renfrewshire until 1891 | 1,022 | 24,482 |\n| Carmyllie | Angus | Forfarshire | | | 2,892 | 477 |\n| Carnbee | Fife | Fife | | | 2,054 | 320 |\n| Carnock | Fife | Fife | | | 1,696 | 5,927 |\n| Carnwath | South Lanarkshire | Lanarkshire | | | 12,927 | 6,166 |\n| Carrington | Midlothian | Midlothian | | | 3,523 | 316 |\n| Carsphairn | Dumfries and Galloway East Ayrshire | Kirkcudbrightshire | | | 30,307 | 201 |\n| Carstairs | South Lanarkshire | Lanarkshire | | | 1,900 | 1,986 |\n| Castleton | Scottish Borders | Roxburghshire | | | 26,931 | 1,057 |\n| Cathcart | East Renfrewshire City of Glasgow South Lanarkshire | Renfrewshire | | Partly in Lanarkshire until 1891 | 1,183 | 62,519 |\n| Cavers | Scottish Borders | Roxburghshire | | | 11,257 | 1,085 |\n| Cawdor | Highland | Nairnshire | | Partly in Inverness-shire until 1891 | 4,594 | 560 |\n| Ceres | Fife | Fife | | | 3,901 | 1,455 |\n| Channelkirk | Scottish Borders | Berwickshire | | | 5,393 | 492 |\n| Chapel of Garioch | Aberdeenshire | Aberdeenshire | | | 6,920 | 1,705 |\n| Chirnside | Scottish Borders | Berwickshire | | | 2,646 | 1,751 |\n| Clackmannan | Clackmannanshire | Clackmannanshire | | | 2,894 | 3,773 |\n| Clatt | Aberdeenshire | Aberdeenshire | | | 1,830 | 155 |\n| Cleish | Perth and Kinross | Kinross-shire | | | 2,819 | 685 |\n| Closeburn | Dumfries and Galloway | Dumfriesshire | | | 12,835 | 1,146 |\n| Clunie | Perth and Kinross | Perthshire | | | 3,305 | 472 |\n| Cluny | Aberdeenshire | Aberdeenshire | | | 4,420 | 962 |\n| Clyne | Highland | Sutherland | | | 15,760 | 1,765 |\n| Cockburnspath | Scottish Borders | Berwickshire | | | 6,046 | 761 |\n| Cockpen | Midlothian | Midlothian | | | 1,131 | 10,466 |\n| Coldingham | Scottish Borders | Berwickshire | | | 11,146 | 1,919 |\n| Coldstream | Scottish Borders | Berwickshire | | | 3,575 | 2,260 |\n| Coll | Argyll and Bute | Argyllshire | | | 7,600 | 195 |\n| Collace | Perth and Kinross | Perthshire | | | 2,531 | 528 |\n| Collessie | Fife | Fife | | | 1,745 | 1,921 |\n| Colmonell | South Ayrshire | Ayrshire | | | 29,844 | 952 |\n| Colonsay and Oronsay | Argyll and Bute | Argyllshire | | | 4,581 | 132 |\n| Colvend and Southwick | Dumfries and Galloway | Kirkcudbrightshire | | | 7,030 | 974 |\n| Comrie | Perth and Kinross Stirling | Perthshire | | | 32,006 | 2,513 |\n| Contin | Highland | Ross and Cromarty | | | 60,880 | 1,055 |\n| Cortachy and Clova | Angus | Forfarshire | | | 21,977 | 305 |\n| Coull | Aberdeenshire | Aberdeenshire | | | 3,867 | 264 |\n| Coupar Angus | Perth and Kinross | Perthshire | | Partly in Fife until 1891 | 1,617 | 2,667 |\n| Covington | South Lanarkshire | Lanarkshire | | | 2,177 | 772 |\n| Coylton | East Ayrshire South Ayrshire | Ayrshire | | | 6,603 | 3,770 |\n| Craig | Angus | Forfarshire | | | 1,071 | 1,292 |\n| Craigie | South Ayrshire | Ayrshire | | | 2,695 | 424 |\n| Craignish | Argyll and Bute | Argyllshire | | | 4,817 | 374 |\n| Crail | Fife | Fife | | | 2,063 | 1,812 |\n| Crailing | Scottish Borders | Roxburghshire | | | 1,851 | 241 |\n| Cranshaws | Scottish Borders | Berwickshire | | | 5,337 | 95 |\n| Cranston | Midlothian | Midlothian | | | 1,274 | 601 |\n| Crathie and Braemar | Aberdeenshire | Aberdeenshire | | | 76,584 | 808 |\n| Crawford | South Lanarkshire | Lanarkshire | | | 24,574 | 871 |\n| Crawfordjohn | South Lanarkshire | Lanarkshire | | | 11,623 | 546 |\n| Creich | Fife | Fife | | | 1,013 | 190 |\n| Creich | Highland | Sutherland | | | 15,514 | 1,111 |\n| Crichton | Midlothian | Midlothian | | | 3,259 | 1,223 |\n| Crieff | Perth and Kinross | Perthshire | | | 5,097 | 7,236 |\n| Crimond | Aberdeenshire | Aberdeenshire | | | 42 | 851 |\n| Cromarty | Highland | Ross and Cromarty | | | 2,529 | 906 |\n| Cromdale, Inverallan and Advie | Highland | Morayshire | | Partly in Inverness-shire until 1862 | 27,496 | 3,295 |\n| Cross and Burness | Orkney | Orkney | | Part of the island of Sanday (see also Lady) | 4,136 | 408 |\n| Crossmichael | Dumfries and Galloway | Kirkcudbrightshire | | | 4,110 | 2,287 |\n| Croy and Dalcross | Highland | Inverness-shire | | Partly in Nairnshire until 1891 | 6,073 | 1,692 |\n| Cruden | Aberdeenshire | Aberdeenshire | | | 7,494 | 3,502 |\n| Cullen | Moray | Banffshire | | | 455 | 1,628 |\n| Culross | Fife | Fife | | Detached part of Perthshire until 1891 | 2,409 | 4,348 |\n| Culsalmond | Aberdeenshire | Aberdeenshire | | | 4,063 | 492 |\n| Culter or Coulter | South Lanarkshire | Lanarkshire | | | 4,177 | 278 |\n| Cults | Fife | Fife | | | 1,608 | 392 |\n| Cumbernauld | North Lanarkshire | Dunbartonshire | | | 4,974 | 50,945 |\n| Cumbrae | North Ayrshire | Bute | | | 1,430 | 1,376 |\n| Cummertrees | Dumfries and Galloway | Dumfriesshire | | | 2,138 | 507 |\n| Cupar | Fife | Fife | | | 2,452 | 11,183 |\n| Currie | City of Edinburgh | Midlothian | | | 5,425 | 13,640 |\n| Dailly | South Ayrshire | Ayrshire | | | 17,918 | 1,272 |\n| Dairsie | Fife | Fife | | | 1,138 | 387 |\n| Dalgety | Fife | Fife | | | 714 | 10,777 |\n| Dalkeith | Midlothian | Midlothian | | | 858 | 7,075 |\n| Dallas | Moray | Morayshire | | | 9,674 | 405 |\n| Dalmellington | East Ayrshire | Ayrshire | | | 3,204 | 3,603 |\n| Dalmeny | City of Edinburgh | Linlithgowshire | | Partly in Midlothian until 1891 | 2,448 | 9,388 |\n| Dalry | Dumfries and Galloway | Kirkcudbrightshire | | | 3,382 | 510 |\n| Dalry | North Ayrshire | Ayrshire | | | 9,082 | 6,252 |\n| Dalrymple | East Ayrshire | Ayrshire | | | 3,595 | 1,917 |\n| Dalserf | South Lanarkshire | Lanarkshire | | | 3,459 | 17,683 |\n| Dalton | Dumfries and Galloway | Dumfriesshire | | | 3,921 | 614 |\n| Dalziel | North Lanarkshire | Lanarkshire | | | 1,408 | 30,968 |\n| Daviot | Aberdeenshire | Aberdeenshire | | | 2,429 | 855 |\n| Daviot and Dunlichity | Highland | Inverness-shire | | Partly in Nairnshire until 1891 | 23,440 | 1,256 |\n| Delting | Shetland | Zetland | | | 14,716 | 1,864 |\n| Denny | Falkirk | Stirlingshire | | | 3,459 | 18,300 |\n| Deskford | Moray | Banffshire | | | 2,762 | 189 |\n| Dingwall | Highland | Ross and Cromarty | | | 404 | 5,804 |\n| Dirleton | East Lothian | Haddingtonshire | | | 3,153 | 3,893 |\n| Dollar | Clackmannanshire | Clackmannanshire | | | 1,908 | 3,035 |\n| Dolphinton | South Lanarkshire | Lanarkshire | | | 1,264 | 255 |\n| Dores | Highland | Inverness-shire | | | 13,975 | 559 |\n| Dornoch | Highland | Sutherland | | | 15,238 | 2,478 |\n| Dornock | Dumfries and Galloway | Dumfriesshire | | | 2,500 | 2,235 |\n| Douglas | South Lanarkshire | Lanarkshire | | | 14,437 | 2,301 |\n| Drainie | Moray | Morayshire | | | 3,558 | 8,653 |\n| Dreghorn | North Ayrshire | Ayrshire | | | 2,769 | 6,296 |\n| Dron | Perth and Kinross | Perthshire | | | 3,299 | 270 |\n| Drumblade | Aberdeenshire | Aberdeenshire | | | 5,417 | 502 |\n| Drumelzier | Scottish Borders | Peeblesshire | | | N/A | N/A |\n| Drumoak | Aberdeenshire | Aberdeenshire | | Partly in Kincardineshire until 1891 | 2,813 | 1,409 |\n| Dryfesdale | Dumfries and Galloway | Dumfriesshire | | | 2,997 | 4,580 |\n| Drymen | Stirling | Stirlingshire | | | 8,290 | 1,650 |\n| Duffus | Moray | Morayshire | | | 3,033 | 4,610 |\n| Duirinish | Highland | Inverness-shire | Borrodale, Colbost, Dunvegan, Edinbane, Geary, Halistra, Milovaig, Roag | | 32,505 | 1,464 |\n| Dull | Perth and Kinross | Perthshire | | | 25,489 | 2,517 |\n| Dumbarton | West Dunbartonshire | Dunbartonshire | | | 607 | 13,720 |\n| Dumfries | Dumfries and Galloway | Dumfriesshire | | | 2,805 | 22,085 |\n| Dun | Angus | Forfarshire | | | 1,338 | 418 |\n| Dunbar | East Lothian | Haddingtonshire | | | 1,369 | 9,270 |\n| Dunbarney | Perth and Kinross | Perthshire | | | 1,750 | 2,910 |\n| Dunblane and Lecropt | Stirling | Perthshire | | Part of Lecropt was in Stirlingshire until 1891 Lecropt a separate parish until 1900 | 7,782 | 9,521 |\n| Dunbog | Fife | Fife | | | 1,344 | 133 |\n| Dundee | Angus City of Dundee Perth and Kinross | Forfarshire | | | 5,291 | 146,637 |\n| Dundonald | North Ayrshire South Ayrshire | Ayrshire | | | 4,436 | 22,386 |\n| Dunfermline | Fife | Fife | | Partly in Kinross-shire until 1891 | 6,909 | 69,815 |\n| Dunino | Fife | Fife | | | 1,231 | 134 |\n| Dunipace | Falkirk | Stirlingshire | | | 2,192 | 3,487 |\n| Dunkeld and Dowally | Perth and Kinross | Perthshire | | | 8,936 | 601 |\n| Dunlop | East Ayrshire | Ayrshire | | Partly in Renfrewshire until 1891 | 2,688 | 1,583 |\n| Dunnet | Highland | Caithness | | | 5,241 | 582 |\n| Dunnichen | Angus | Forfarshire | | | 3,398 | 2,105 |\n| Dunning | Perth and Kinross | Perthshire | | | 5,448 | 1,260 |\n| Dunnottar | Aberdeenshire | Kincardineshire | | | 3,189 | 1,743 |\n| Dunoon and Kilmun | Argyll and Bute | Argyllshire | | | 28,889 | 12,620 |\n| Dunrossness | Shetland | Zetland | | | 11,687 | 3,216 |\n| Duns | Scottish Borders | Berwickshire | | | 4,126 | 3,192 |\n| Dunscore | Dumfries and Galloway | Dumfriesshire | | | 6,230 | 826 |\n| Dunsyre | South Lanarkshire | Lanarkshire | | | N/A | N/A |\n| Durisdeer | Dumfries and Galloway | Dumfriesshire | | | 7,695 | 317 |\n| Durness | Highland | Sutherland | | | 65,026 | 347 |\n| Durris | Aberdeenshire | Kincardineshire | | | 5,375 | 628 |\n| Duthil and Rothiemurchus | Highland | Inverness-shire | | Duthil in Morayshire until 1870 | 27,868 | 5,149 |\n| Dyce | City of Aberdeen | Aberdeenshire | | | 2,170 | 5,813 |\n| Dyke and Moy | Moray | Morayshire | | Partly in Nairnshire until 1891 | 5,378 | 783 |\n| Eaglesham | East Renfrewshire | Renfrewshire | | | 5,773 | 4,647 |\n| Earlston | Scottish Borders | Berwickshire | | Partly in Roxburghshire until 1891 | 1,695 | 1,976 |\n| Eassie and Nevay | Angus | Forfarshire | | | 1,854 | 143 |\n| East Kilbride | East Renfrewshire South Lanarkshire | Lanarkshire | | | 8,961 | 77,280 |\n| Eastwood | East Renfrewshire City of Glasgow | Renfrewshire | | | 2,138 | 57,707 |\n| Eccles | Scottish Borders | Berwickshire | | | 4,970 | 809 |\n| Ecclesmachan | West Lothian | Linlithgowshire | | | 1,886 | 621 |\n| Echt | Aberdeenshire | Aberdeenshire | | | 4,732 | 761 |\n| Eckford | Scottish Borders | Roxburghshire | | | 3,419 | 252 |\n| Eday | Orkney | Orkney | | | 3,209 | 160 |\n| Edderton | Highland | Ross and Cromarty | | | 7,215 | 308 |\n| Eddleston | Scottish Borders | Peeblesshire | | | 7,954 | 628 |\n| Eddrachillis | Highland | Sutherland | | | 58,896 | 688 |\n| Edinburgh | City of Edinburgh Midlothian | Edinburgh County of City Midlothian | | | 13,485 | 447,064 |\n| Edinkillie | Highland Moray | Morayshire | | | 14,534 | 416 |\n| Ednam | Scottish Borders | Roxburghshire | | | 1,922 | 417 |\n| Edrom | Scottish Borders | Berwickshire | | | 3,394 | 458 |\n| Edzell | Aberdeenshire Angus | Forfarshire | | | 7,887 | 998 |\n| Elgin | Moray | Morayshire | | | 8,069 | 11,704 |\n| Elie | Fife | Fife | | | 1,610 | 861 |\n| Ellon | Aberdeenshire | Aberdeenshire | | | 9,366 | 11,476 |\n| Errol | Perth and Kinross | Perthshire | | | 4,146 | 2,467 |\n| Erskine | Renfrewshire | Renfrewshire | | | 2,314 | 8,779 |\n| Eskdalemuir | Dumfries and Galloway | Dumfriesshire | | | 15,483 | 252 |\n| Ettrick | Scottish Borders | Selkirkshire | | | 10,333 | 83 |\n| Evie and Rendall | Orkney | Orkney | | | 5,501 | 729 |\n| Ewes | Dumfries and Galloway | Dumfriesshire | | | 7,498 | 82 |\n| Eyemouth | Scottish Borders | Berwickshire | | | 925 | 2,838 |\n| Fala and Soutra | Midlothian Scottish Borders | Midlothian | | Partly in Haddingtonshire until 1891 | 1,516 | 95 |\n| Falkirk | Falkirk | Stirlingshire | | | 5,896 | 46,702 |\n| Falkland | Fife | Fife | | | 2,745 | 2,616 |\n| Farnell | Angus | Forfarshire | | | 3,273 | 288 |\n| Farr | Highland | Sutherland | | | 97,388 | 955 |\n| Fearn | Highland | Ross and Cromarty | | | 2,694 | 1,885 |\n| Fenwick | East Ayrshire | Ayrshire | | | 6,548 | 1,487 |\n| Fern | Angus | Forfarshire | | | 3,150 | 499 |\n| Ferry Port on Craig | Fife | Fife | | | 132 | 3,815 |\n| Fetlar | Shetland | Zetland | | | 4,077 | 61 |\n| Fettercairn | Aberdeenshire Angus | Kincardineshire | | | 5,672 | 1,105 |\n| Fetteresso | Aberdeenshire | Kincardineshire | | | 11,598 | 14,845 |\n| Findo Gask | Perth and Kinross | Perthshire | | | 882 | 277 |\n| Fintray | Aberdeenshire | Aberdeenshire | | | 4,002 | 945 |\n| Fintry | Stirling | Stirlingshire | | | 4,777 | 546 |\n| Firth | Orkney | Orkney | | | 3,670 | 877 |\n| Flisk | Fife | Fife | | | 1,100 | 92 |\n| Fodderty | Highland | Ross and Cromarty | | | 33,264 | 2,869 |\n| Fogo | Scottish Borders | Berwickshire | | | 2,405 | 165 |\n| Fordoun | Aberdeenshire | Kincardineshire | | | 7,929 | 1,491 |\n| Fordyce | Aberdeenshire | Banffshire | | | 5,736 | 2,531 |\n| Forfar | Angus | Forfarshire | | | 2,760 | 15,001 |\n| Forgan | Fife | Fife | | | 3,676 | 4,573 |\n| Forgandenny | Perth and Kinross | Perthshire | | Partly in Kinross-shire until 1891 | 1,746 | 935 |\n| Forglen | Aberdeenshire | Banffshire | | | 2,732 | 321 |\n| Forgue | Aberdeenshire | Aberdeenshire | | | 9,006 | 879 |\n| Forres | Moray | Morayshire | | | 1,887 | 9,393 |\n| Forteviot | Perth and Kinross | Perthshire | | | 5,654 | 382 |\n| Fortingall | Perth and Kinross | Perthshire | Kinloch Rannoch | | 93,909 | 864 |\n| Fossoway | Perth and Kinross | Kinross-shire | | Partly in Perthshire until 1891 | 6,456 | 1,641 |\n| Foulden | Scottish Borders | Berwickshire | | | 1,497 | 371 |\n| Foveran | Aberdeenshire | Aberdeenshire | | | 3,967 | 2,393 |\n| Fowlis Easter | Angus City of Dundee | Forfarshire | | Partly in Perthshire until 1891 | 1,839 | 415 |\n| Fowlis Wester | Perth and Kinross | Perthshire | | | 5,148 | 629 |\n| Fraserburgh | Aberdeenshire | Aberdeenshire | | | 2,079 | 13,323 |\n| Fyvie | Aberdeenshire | Aberdeenshire | | | 10,353 | 3,144 |\n| Gairloch | Highland | Ross and Cromarty | | | 92,448 | 2,326 |\n| Galashiels | Scottish Borders | Selkirkshire | | Partly in Roxburghshire until 1891 | 1,405 | 10,081 |\n| Galston | East Ayrshire | Ayrshire | | | 5,978 | 5,459 |\n| Gamrie | Aberdeenshire | Banffshire | | In Aberdeenshire until 1891 | 5,746 | 5,301 |\n| Gargunnock | Stirling | Stirlingshire | | | 4,838 | 1,049 |\n| Gartly | Aberdeenshire | Aberdeenshire | | Detached part of Banffshire until 1891 | 6,301 | 340 |\n| Garvald and Bara | East Lothian | Haddingtonshire | | | 5,926 | 305 |\n| Garvock | Aberdeenshire | Kincardineshire | | | 3,265 | 304 |\n| Gigha and Cara | Argyll and Bute | Argyllshire | | | 1,489 | 163 |\n| Girthon | Dumfries and Galloway | Kirkcudbrightshire | | | 14,159 | 699 |\n| Girvan | South Ayrshire | Ayrshire | | | 5,896 | 6,968 |\n| Gladsmuir | East Lothian | Haddingtonshire | | | 2,444 | 3,837 |\n| Glamis | Angus | Forfarshire | | | 6,014 | 1,013 |\n| Glasgow | East Dunbartonshire City of Glasgow North Lanarkshire | Lanarkshire | | Partly in Renfrewshire until 1891 | 5,848 | 220,415 |\n| Glass | Aberdeenshire | Aberdeenshire | | Partly in Banffshire until 1891 | 6,635 | 279 |\n| Glassary | Argyll and Bute | Argyllshire | | | 21,247 | 3,553 |\n| Glasserton | Dumfries and Galloway | Wigtownshire | | | 6,105 | 332 |\n| Glassford | South Lanarkshire | Lanarkshire | | | 1,728 | 1,467 |\n| Glenbervie | Aberdeenshire | Kincardineshire | | | 8,737 | 778 |\n| Glenbuchat | Aberdeenshire | Aberdeenshire | | | 4,842 | 61 |\n| Glencairn | Dumfries and Galloway | Dumfriesshire | | | 12,202 | 890 |\n| Glencorse | Midlothian | Midlothian | | | 2,560 | 5,293 |\n| Glendevon | Perth and Kinross | Perthshire | | | 4,677 | 174 |\n| Glenelg | Highland | Inverness-shire | Arnisdale, Glenelg, Inverie, Kinloch Hourn, Mallaig, Morar | | 44,853 | 1,473 |\n| Glenisla | Angus | Forfarshire | | | 19,361 | 196 |\n| Glenmuick, Tullich and Glengairn | Aberdeenshire | Aberdeenshire | | | 27,577 | 1,982 |\n| Glenorchy and Inishail | Argyll and Bute Highland | Argyllshire | Bridge of Orchy, Dalmally | | 52,355 | 1,208 |\n| Glenshiel | Highland | Ross and Cromarty | Morvich, Shiel Bridge | | 27,560 | 215 |\n| Golspie | Highland | Sutherland | | | 5,789 | 1,661 |\n| Gordon | Scottish Borders | Berwickshire | | | 2,523 | 649 |\n| Govan | City of Glasgow Renfrewshire | Renfrewshire | | Partly in Lanarkshire until 1891 | 2,650 | 118,706 |\n| Grange | Moray | Banffshire | | | 6,010 | 638 |\n| Grangemouth | Falkirk | Stirlingshire | | | 4,187 | 37,255 |\n| Greenlaw | Scottish Borders | Berwickshire | | | 5,609 | 847 |\n| Greenock | Inverclyde | Renfrewshire | | | 3,731 | 31,417 |\n| Gretna | Dumfries and Galloway | Dumfriesshire | | | 3,139 | 3,984 |\n| Guthrie | Angus | Forfarshire | | | 1,718 | 147 |\n| Haddington | East Lothian | Haddingtonshire | | | 5,131 | 9,766 |\n| Half Morton | Dumfries and Galloway | Dumfriesshire | | | 3,837 | 208 |\n| Halkirk | Highland | Caithness | | | 38,492 | 1,460 |\n| Hamilton | South Lanarkshire | Lanarkshire | | | 5,874 | 53,503 |\n| Harris | Na h-Eileanan Siar | Inverness-shire | Borve, Hushinish, Leverburgh, Rodel, Tarbert | | 50,534 | 2,054 |\n| Hawick | Scottish Borders | Roxburghshire | | | 6,163 | 14,869 |\n| Heriot | Scottish Borders | Midlothian | | | 7,271 | 321 |\n| Hobkirk | Scottish Borders | Roxburghshire | | | 6,882 | 442 |\n| Hoddom | Dumfries and Galloway | Dumfriesshire | | | 4,232 | 1,279 |\n| Holm | Orkney | Orkney | | | 3,039 | 739 |\n| Holywood | Dumfries and Galloway | Dumfriesshire | | | 3,974 | 822 |\n| Houston and Killellan | Renfrewshire | Renfrewshire | | | 3,346 | 4,915 |\n| Hownam | Scottish Borders | Roxburghshire | | | 5,454 | 74 |\n| Hoy and Graemsay | Orkney | Orkney | | | 12,274 | 73 |\n| Humbie | East Lothian | Haddingtonshire | | Detached portion of parish transferred to Fala and Soutra parish, Midlothian in 1891 | 3,266 | 383 |\n| Hume | Scottish Borders | Berwickshire | | | 1,001 | 109 |\n| Huntly | Aberdeenshire | Aberdeenshire | | | 3,167 | 4,954 |\n| Hutton | Scottish Borders | Berwickshire | | | 2,356 | 545 |\n| Hutton and Corrie | Dumfries and Galloway | Dumfriesshire | | | 15,202 | 365 |\n| Inch | Dumfries and Galloway | Wigtownshire | | | 17,231 | 6,598 |\n| Inchinnan | Renfrewshire | Renfrewshire | | | 1,234 | 14,976 |\n| Inchture | Perth and Kinross | Perthshire | | | 1,800 | 1,440 |\n| Innerleithen | Scottish Borders | Peeblesshire | | Partly in Selkirkshire until 1891 | 9,792 | 3,980 |\n| Innerwick | East Lothian Scottish Borders | Haddingtonshire | | | 5,481 | 573 |\n| Insch | Aberdeenshire | Aberdeenshire | | | 1,792 | 1,861 |\n| Inveraray | Argyll and Bute | Argyllshire | Inveraray | | 19,200 | 769 |\n| Inverarity | Angus | Forfarshire | | | 4,824 | 422 |\n| Inveravon | Moray | Banffshire | | Partly in Moray until 1891 | 23,106 | 913 |\n| Inverchaolain | Argyll and Bute | Argyllshire | | | 3,160 | 110 |\n| Inveresk | East Lothian City of Edinburgh | Midlothian | | | 2,114 | 24,835 |\n| Inverkeilor | Angus | Forfarshire | | | 6,495 | 1,104 |\n| Inverkeithing | Fife | Fife | | | 1,277 | 8,090 |\n| Inverkeithny | Aberdeenshire | Banffshire | | In Aberdeenshire until 1891 | 3,576 | 367 |\n| Inverkip | Inverclyde | Renfrewshire | | | 3,267 | 29,196 |\n| Inverness and Bona | Highland | Inverness-shire | | | 11,725 | 61,489 |\n| Inverurie | Aberdeenshire | Aberdeenshire | | | 922 | 10,857 |\n| Irvine | North Ayrshire | Ayrshire | | | 2,125 | 27,518 |\n| Jedburgh | Scottish Borders | Roxburghshire | | | 9,662 | 4,649 |\n| Johnstone | Dumfries and Galloway | Dumfriesshire | | | 5,371 | 400 |\n| Jura | Argyll and Bute | Argyllshire | | | 38,625 | 196 |\n| Keig | Aberdeenshire | Aberdeenshire | | | 1,944 | 274 |\n| Keir | Dumfries and Galloway | Dumfriesshire | | | 2,298 | 316 |\n| Keith | Moray | Banffshire | | Partly in Morayshire until 1891 | 6,233 | 5,705 |\n| Keithhall and Kinkell | Aberdeenshire | Aberdeenshire | | | 2,602 | 1,211 |\n| Kells | Dumfries and Galloway | Kirkcudbrightshire | | | 21,317 | 664 |\n| Kelso | Scottish Borders | Roxburghshire | | | 2,266 | 7,249 |\n| Kelton | Dumfries and Galloway | Kirkcudbrightshire | | | 3,876 | 3,340 |\n| Kemback | Fife | Fife | | | 1,760 | 558 |\n| Kemnay | Aberdeenshire | Aberdeenshire | | | 2,479 | 4,342 |\n| Kenmore | Perth and Kinross Stirling | Perthshire | | | 25,543 | 572 |\n| Kennethmont | Aberdeenshire | Aberdeenshire | | | 2,438 | 460 |\n| Kennoway | Fife | Fife | | | 1,580 | 5,077 |\n| Kettins | Perth and Kinross | Forfarshire | | Partly in Perthshire until 1891 | 3,355 | 632 |\n| Kettle | Fife | Fife | | | 3,456 | 1,645 |\n| Kilbarchan | Renfrewshire | Renfrewshire | | | 4,119 | 19,841 |\n| Kilbirnie | North Ayrshire | Ayrshire | | | 4,166 | 7,730 |\n| Kilbrandon and Kilchattan | Argyll and Bute | Argyllshire | | | 3,494 | 808 |\n| Kilbride | North Ayrshire | Bute | | | 16,439 | 3,271 |\n| Kilcalmonell | Argyll and Bute | Argyllshire | | | 7,567 | 1,324 |\n| Kilchoman | Argyll and Bute | Argyllshire | | | 14,796 | 760 |\n| Kilchrenan and Dalavich | Argyll and Bute | Argyllshire | | | 19,377 | 182 |\n| Kilconquhar | Fife | Fife | | | 3,688 | 1,140 |\n| Kildalton | Argyll and Bute | Argyllshire | | | 15,434 | 1,077 |\n| Kildonan | Highland | Sutherland | | | 35,460 | 725 |\n| Kildrummy | Aberdeenshire | Aberdeenshire | | | 6,898 | 321 |\n| Kilfinan | Argyll and Bute | Argyllshire | | | 13,473 | 777 |\n| Kilfinichen and Kilvickeon | Argyll and Bute | Argyllshire | | | 37,029 | 745 |\n| Killarow and Kilmeny | Argyll and Bute | Argyllshire | | | 31,580 | 1,391 |\n| Killean and Kilchenzie | Argyll and Bute | Argyllshire | | | 18,872 | 539 |\n| Killearn | Stirling | Stirlingshire | | | 7,240 | 2,382 |\n| Killearnan | Highland | Ross and Cromarty | | | 3,014 | 697 |\n| Killin | Stirling | Perthshire | Crianlarich, Killin, Tyndrum | | 47,051 | 1,291 |\n| Kilmacolm | Inverclyde | Renfrewshire | | | 8,581 | 5,264 |\n| Kilmadock | Stirling | Perthshire | | | 15,729 | 2,375 |\n| Kilmallie | Highland | Inverness-shire | Caol, Corpach, Fort William, Kinlocheil, Onich | Partly in Argyllshire until 1891 | 80,806 | 10,395 |\n| Kilmany | Fife | Fife | | | 2,055 | 218 |\n| Kilmarnock | East Ayrshire | Ayrshire | | | 3,895 | 34,858 |\n| Kilmaronock | Stirling West Dunbartonshire | Dunbartonshire | | | 4,816 | 814 |\n| Kilmartin | Argyll and Bute | Argyllshire | | | 10,700 | 536 |\n| Kilmaurs | East Ayrshire | Ayrshire | | | 2,630 | 8,103 |\n| Kilmodan | Argyll and Bute | Argyllshire | | | 11,143 | 177 |\n| Kilmonivaig | Highland | Inverness-shire | Inverlochy | | 111,192 | 3,611 |\n| Kilmorack | Highland | Inverness-shire | | Partly in Ross and Cromarty until 1891 | 17,549 | 2,329 |\n| Kilmore and Kilbride | Argyll and Bute | Argyllshire | | | 17,462 | 10,326 |\n| Kilmory | North Ayrshire | Bute | | | 26,694 | 1,389 |\n| Kilmuir | Highland | Inverness-shire | Brogaig, Flodigarry, Kilmaluag, Kilmuir, Staffin | | 13,576 | 813 |\n| Kilmuir Easter | Highland | Ross and Cromarty | | | 1,946 | 1,100 |\n| Kilninian and Kilmore | Argyll and Bute | Argyllshire | | | 30,151 | 1,606 |\n| Kilninver and Kilmelfort | Argyll and Bute | Argyllshire | | | 15,116 | 395 |\n| Kilrenny | Fife | Fife | | | 1,831 | 2,775 |\n| Kilspindie | Perth and Kinross | Perthshire | | | 1,634 | 190 |\n| Kilsyth | Falkirk North Lanarkshire | Stirlingshire | | | 5,090 | 11,530 |\n| Kiltarlity and Convinth | Highland | Inverness-shire | | | 68,820 | 1,692 |\n| Kiltearn | Highland | Ross and Cromarty | | | 30,836 | 1,982 |\n| Kilwinning | North Ayrshire | Ayrshire | | | 3,696 | 19,475 |\n| Kincardine O'Neil | Aberdeenshire | Aberdeenshire | | | 7,561 | 2,580 |\n| Kincardine | Highland | Ross and Cromarty | | | 91,725 | 648 |\n| Kincardine | Stirling | Perthshire | | | 6,112 | 1,148 |\n| Kinclaven | Perth and Kinross | Perthshire | | | 2,807 | 346 |\n| Kinellar | Aberdeenshire | Aberdeenshire | | | 1,612 | 3,169 |\n| Kinfauns | Perth and Kinross | Perthshire | | | 1,020 | 525 |\n| King Edward | Aberdeenshire | Aberdeenshire | | | 7,962 | 1,284 |\n| Kingarth | Argyll and Bute | Bute | | | 4,136 | 380 |\n| Kinghorn | Fife | Fife | | | 3,488 | 4,201 |\n| Kinglassie | Fife | Fife | | Partly in Kinross-shire until 1891 | 3,382 | 22,543 |\n| Kingoldrum | Angus | Forfarshire | | | N/A | N/A |\n| Kingsbarns | Fife | Fife | | | 2,489 | 443 |\n| Kingussie and Insh | Highland | Inverness-shire | Dalwhinnie, Kingussie, Newtonmore | | 81,267 | 3,100 |\n| Kinloch | Perth and Kinross | Perthshire | | | 329 | 92 |\n| Kinloss | Moray | Morayshire | | | 2,985 | 2,842 |\n| Kinnaird | Perth and Kinross | Perthshire | | | 1,208 | 93 |\n| Kinneff and Catterline | Aberdeenshire | Kincardineshire | | | 2,205 | 677 |\n| Kinnell | Angus | Forfarshire | | | 1,552 | 523 |\n| Kinnettles | Angus | Forfarshire | | | 634 | 95 |\n| Kinnoull | Perth and Kinross | Perthshire | | | 1,758 | 3,785 |\n| Kinross | Perth and Kinross | Kinross-shire | | | 2,598 | 5,307 |\n| Kintail | Highland | Ross and Cromarty | Dornie | | 3,195 | 300 |\n| Kintore | Aberdeenshire | Aberdeenshire | | | 2,755 | 6,355 |\n| Kippen | Stirling | Stirlingshire | | Partly in Perthshire until 1891 | 4,859 | 1,984 |\n| Kirkbean | Dumfries and Galloway | Kirkcudbrightshire | | | 2,374 | 551 |\n| Kirkcaldy and Dysart | Fife | Fife | | | 3,087 | 49,918 |\n| Kirkcolm | Dumfries and Galloway | Wigtownshire | | | 5,809 | 669 |\n| Kirkconnel | Dumfries and Galloway | Dumfriesshire | | | 11,565 | 2,361 |\n| Kirkcowan | Dumfries and Galloway | Wigtownshire | | | 21,573 | 758 |\n| Kirkcudbright | Dumfries and Galloway | Kirkcudbrightshire | | | 4,166 | 3,203 |\n| Kirkden | Angus | Forfarshire | | | 1,839 | 911 |\n| Kirkgunzeon | Dumfries and Galloway | Kirkcudbrightshire | | | 4,875 | 278 |\n| Kirkhill | Highland | Inverness-shire | | | 4,432 | 1,825 |\n| Kirkhope | Scottish Borders | Selkirkshire | | | 12,449 | 263 |\n| Kirkinner | Dumfries and Galloway | Wigtownshire | | | 5,152 | 594 |\n| Kirkintilloch | East Dunbartonshire North Lanarkshire | Dunbartonshire | | | 2,713 | 29,526 |\n| Kirkliston | City of Edinburgh West Lothian | Linlithgowshire | | | 4,500 | 7,265 |\n| Kirkmabreck | Dumfries and Galloway | Kirkcudbrightshire | | | 10,422 | 980 |\n| Kirkmahoe | Dumfries and Galloway | Dumfriesshire | | | 4,939 | 745 |\n| Kirkmaiden | Dumfries and Galloway | Wigtownshire | | | 4,939 | 680 |\n| Kirkmichael | Dumfries and Galloway | Dumfriesshire | | | 6,884 | 537 |\n| Kirkmichael | Moray | Banffshire | | | 30,260 | 606 |\n| Kirkmichael | Perth and Kinross | Perthshire | | | 30,386 | 795 |\n| Kirkmichael | South Ayrshire | Ayrshire | | | 9,596 | 1,549 |\n| Kirknewton | West Lothian | Midlothian | | | 3,017 | 7,188 |\n| Kirkoswald | South Ayrshire | Ayrshire | | | 6,491 | 1,269 |\n| Kirkpatrick Durham | Dumfries and Galloway | Kirkcudbrightshire | | | 8,969 | 708 |\n| Kirkpatrick Irongray | Dumfries and Galloway | Kirkcudbrightshire | | | 5,356 | 350 |\n| Kirkpatrick-Fleming | Dumfries and Galloway | Dumfriesshire | | | 3,635 | 802 |\n| Kirkpatrick-Juxta | Dumfries and Galloway | Dumfriesshire | | Partly in Lanarkshire until 1891 | 14,648 | 899 |\n| Kirkurd | Scottish Borders | Peeblesshire | | | 3,846 | 218 |\n| Kirkwall and St Ola | Orkney | Orkney | | | 5,183 | 8,268 |\n| Kirriemuir | Angus | Forfarshire | | | 5,381 | 7,009 |\n| Knockando | Moray | Morayshire | | | 10,365 | 834 |\n| Knockbain | Highland | Ross and Cromarty | | | 5,452 | 2,295 |\n| Lady | Orkney | Orkney | | Part of the island of Sanday (see also Cross and Burness) | 1,628 | 158 |\n| Ladykirk | Scottish Borders | Berwickshire | | | 1,381 | 136 |\n| Laggan | Highland | Inverness-shire | Kinloch Laggan | | 40,591 | 266 |\n| Lairg | Highland | Sutherland | | | 50,327 | 891 |\n| Lamington and Wandel | South Lanarkshire | Lanarkshire | | | 4,968 | 133 |\n| Lanark | South Lanarkshire | Lanarkshire | | | 4,384 | 10,443 |\n| Langholm | Dumfries and Galloway | Dumfriesshire | | | 9,868 | 2,455 |\n| Langton | Scottish Borders | Berwickshire | | | 2,005 | 310 |\n| Larbert | Falkirk | Stirlingshire | | | 1,499 | 23,977 |\n| Largo | Fife | Fife | | | 1,389 | 2,524 |\n| Largs | North Ayrshire | Ayrshire | | | 6,801 | 14,759 |\n| Lasswade | City of Edinburgh Midlothian | Midlothian | | | 4,692 | 18,126 |\n| Latheron | Highland | Caithness | | | 49,088 | 1,805 |\n| Lauder | Scottish Borders | Berwickshire | | Partly in Roxburghshire until 1891 | 15,061 | 2,078 |\n| Laurencekirk | Aberdeenshire | Kincardineshire | | | 1,904 | 3,126 |\n| Legerwood | Scottish Borders | Berwickshire | | | 4,310 | 271 |\n| Leochel-Cushnie | Aberdeenshire | Aberdeenshire | | | 5,760 | 650 |\n| Lerwick | Shetland | Zetland | | | 7,193 | 8,678 |\n| Leslie | Aberdeenshire | Aberdeenshire | | | 1,922 | 251 |\n| Leslie | Fife | Fife | | | 2,444 | 12,254 |\n| Lesmahagow | South Lanarkshire | Lanarkshire | | | 17,191 | 13,869 |\n| Leswalt | Dumfries and Galloway | Wigtownshire | | | 4,112 | 5,488 |\n| Lethendy | Perth and Kinross | Perthshire | | | N/A | N/A |\n| Lethnot and Navar | Angus | Forfarshire | | | 10,633 | 71 |\n| Leuchars | Fife | Fife | | | 5,324 | 5,754 |\n| Libberton | South Lanarkshire | Lanarkshire | | | 3,347 | 454 |\n| Liff and Benvie | Angus City of Dundee | Forfarshire | | Partly in Perthshire in 1891 | 1,000 | 3,257 |\n| Lilliesleaf | Scottish Borders | Roxburghshire | | | 2,420 | 419 |\n| Linlithgow | West Lothian | Linlithgowshire | | | 4,058 | 15,271 |\n| Linton | Scottish Borders | Roxburghshire | | | 2,139 | 162 |\n| Lintrathen | Angus | Forfarshire | | | 7,744 | 369 |\n| Lismore and Appin | Argyll and Bute Highland | Argyllshire | Appin, Ballachulish, Glencoe, Kinlochleven | | 65,907 | 2,477 |\n| Little Dunkeld | Perth and Kinross | Perthshire | | | 16,685 | 2,172 |\n| Livingston | West Lothian | Linlithgowshire | | | 1,878 | 31,450 |\n| Lochalsh | Highland | Ross and Cromarty | Kyle of Lochalsh, Plockton | | 44,368 | 1,904 |\n| Lochbroom | Highland | Ross and Cromarty | | | 105,136 | 2,487 |\n| Lochcarron | Highland | Ross and Cromarty | Lochcarron | | 41,095 | 893 |\n| Lochgoilhead and Kilmorich | Argyll and Bute | Argyllshire | Ardgartan, Cairndow, Lochgoilhead | | 27,294 | 756 |\n| Lochlee | Angus | Forfarshire | | | 22,143 | 79 |\n| Lochmaben | Dumfries and Galloway | Dumfriesshire | | | 4,536 | 2,907 |\n| Lochrutton | Dumfries and Galloway | Kirkcudbrightshire | | | 3,310 | 565 |\n| Lochs | Na h-Eileanan Siar | Ross and Cromarty | Arivruaich, Calbost, Cromore, Crossbost, Gravir, Habost, Leurbost | | 49,162 | 1,810 |\n| Lochwinnoch | Renfrewshire | Renfrewshire | | | 7,541 | 6,638 |\n| Logie | Fife | Fife | | | 1,896 | 243 |\n| Logie | Stirling | Stirlingshire | | Partly in Clackmannanshire and Perthshire until 1891 | 2,594 | 13,046 |\n| Logie Buchan | Aberdeenshire | Aberdeenshire | | | 2,120 | 374 |\n| Logie Easter | Highland | Ross and Cromarty | | | 4,691 | 658 |\n| Logie Pert | Angus | Forfarshire | | | 2,390 | 498 |\n| Logiealmond | Perth and Kinross | Perthshire | | | 7,536 | 248 |\n| Logie-Coldstone | Aberdeenshire | Aberdeenshire | | | 6,875 | 394 |\n| Logierait | Perth and Kinross | Perthshire | | | 15,397 | 1,288 |\n| Longforgan | City of Dundee Perth and Kinross | Perthshire | | | 1,936 | 2,982 |\n| Longformacus | Scottish Borders | Berwickshire | | | 9,004 | 192 |\n| Longside | Aberdeenshire | Aberdeenshire | | | 5,796 | 3,342 |\n| Lonmay | Aberdeenshire | Aberdeenshire | | | 6,739 | 1,699 |\n| Loth | Highland | Sutherland | | | 6,790 | 139 |\n| Loudoun | East Ayrshire | Ayrshire | | | 6,109 | 6,977 |\n| Lumphanan | Aberdeenshire | Aberdeenshire | | | 4,735 | 1,076 |\n| Lunan | Angus | Forfarshire | | | 538 | 127 |\n| Lundie | Angus | Forfarshire | | | 1,617 | 350 |\n| Luss | Argyll and Bute | Dunbartonshire | | | 8,631 | 272 |\n| Lyne | Scottish Borders | Peeblesshire | | Was Lyne & Megget: Megget (detached part of parish) transferred to Selkirkshire in 1891 | N/A | N/A |\n| Madderty | Perth and Kinross | Perthshire | | | 1,764 | 261 |\n| Mains and Strathmartine | Angus City of Dundee | Forfarshire | | | 1,633 | 1,275 |\n| Makerstoun | Scottish Borders | Roxburghshire | | | 1,510 | 140 |\n| Manor | Scottish Borders | Peeblesshire | | | 7,544 | 149 |\n| Markinch | Fife | Fife | | | 4,942 | 16,530 |\n| Marnoch | Aberdeenshire | Banffshire | | | 5,704 | 1,769 |\n| Maryculter | Aberdeenshire | Kincardineshire | | | 3,119 | 948 |\n| Marykirk | Aberdeenshire | Kincardineshire | | | 4,340 | 1,161 |\n| Maryton | Angus | Forfarshire | | | 1,066 | 189 |\n| Mauchline | East Ayrshire | Ayrshire | | | 3,038 | 4,529 |\n| Maxton | Scottish Borders | Roxburghshire | | | 1,872 | 213 |\n| Maybole | South Ayrshire | Ayrshire | | | 6,812 | 8,797 |\n| Mearns | East Renfrewshire | Renfrewshire | | | 5,366 | 29,957 |\n| Meigle | Perth and Kinross | Perthshire | | | 1,643 | 656 |\n| Meldrum | Aberdeenshire | Aberdeenshire | | | 2,586 | 3,508 |\n| Melrose | Scottish Borders | Roxburghshire | | | 14,008 | 10,415 |\n| Menmuir | Angus | Forfarshire | | | 6,996 | 375 |\n| Mertoun | Scottish Borders | Berwickshire | | | 2,483 | 309 |\n| Methlick | Aberdeenshire | Aberdeenshire | | | 5,290 | 1,092 |\n| Methven | Perth and Kinross | Perthshire | | | 4,121 | 2,435 |\n| Mid Calder | West Lothian | Linlithgowshire | | | 7,118 | 33,395 |\n| Middlebie | Dumfries and Galloway | Dumfriesshire | | | 7,122 | 1,285 |\n| Midmar | Aberdeenshire | Aberdeenshire | | | 3,775 | 595 |\n| Minnigaff | Dumfries and Galloway | Kirkcudbrightshire | | | 36,352 | 1,731 |\n| Minto | Scottish Borders | Roxburghshire | | | 2,699 | 322 |\n| Mochrum | Dumfries and Galloway | Wigtownshire | | | 12,323 | 1,169 |\n| Moffat | Dumfries and Galloway | Dumfriesshire | | Partly in Lanarkshire until 1891 | 12,727 | 2,843 |\n| Moneydie | Perth and Kinross | Perthshire | | | N/A | N/A |\n| Monifieth | Angus City of Dundee | Forfarshire | | | 1,054 | 9,117 |\n| Monikie | Angus | Forfarshire | | | 3,556 | 1,318 |\n| Monimail | Fife | Fife | | | 3,425 | 653 |\n| Monkton and Prestwick | South Ayrshire | Ayrshire | | | 1,844 | 13,973 |\n| Monquhitter | Aberdeenshire | Aberdeenshire | | | 7,090 | 1,345 |\n| Montrose | Aberdeenshire Angus | Forfarshire | | | 2,553 | 13,514 |\n| Monymusk | Aberdeenshire | Aberdeenshire | | | 5,733 | 724 |\n| Monzievaird and Strowan | Perth and Kinross | Perthshire | | | 5,524 | 819 |\n| Mordington | Scottish Borders | Berwickshire | | | 919 | 145 |\n| Moonzie | Fife | Fife | | | N/A | N/A |\n| Morebattle | Scottish Borders | Roxburghshire | | | 9,656 | 537 |\n| Morham | East Lothian | Haddingtonshire | | | 908 | 170 |\n| Mortlach | Moray | Banffshire | | | 14,223 | 2,183 |\n| Morton | Dumfries and Galloway | Dumfriesshire | | | 2,197 | 1,883 |\n| Morvern | Highland | Argyllshire | | | 26,318 | 294 |\n| Moulin | Perth and Kinross | Perthshire | | | 21,876 | 3,212 |\n| Mouswald | Dumfries and Galloway | Dumfriesshire | | | 2,366 | 304 |\n| Moy and Dalarossie | Highland | Inverness-shire | | | 42,946 | 631 |\n| Muckhart | Clackmannanshire Perth and Kinross | Perthshire | | | 1,631 | 674 |\n| Muiravonside | Falkirk | Stirlingshire | | | 3,617 | 5,365 |\n| Muirkirk | East Ayrshire | Ayrshire | | | 12,581 | 1,686 |\n| Murroes | Angus City of Dundee | Forfarshire | | | 3,237 | 1,630 |\n| Muthill | Perth and Kinross | Perthshire | | | 4,597 | 1,123 |\n| Nairn | Highland | Nairnshire | | | 2,847 | 10,184 |\n| Neilston | East Renfrewshire City of Glasgow | Renfrewshire | | | 4,970 | 22,244 |\n| Nenthorn | Scottish Borders | Berwickshire | | | 1,531 | 168 |\n| Nesting | Shetland | Zetland | | | 12,915 | 1,759 |\n| New Abbey | Dumfries and Galloway | Kirkcudbrightshire | | | 7,824 | 899 |\n| New Cumnock | East Ayrshire | Ayrshire | | | 18,779 | 3,380 |\n| New Deer | Aberdeenshire | Aberdeenshire | | | 11,032 | 3,029 |\n| New Kilpatrick | East Dunbartonshire City of Glasgow West Dunbartonshire | Dunbartonshire | | Partly in Stirlingshire until 1891 | 5,053 | 80,585 |\n| New Luce | Dumfries and Galloway | Wigtownshire | | | 7,149 | 89 |\n| New Machar | Aberdeenshire | Aberdeenshire | | Partly in Banffshire until 1891 | 4,247 | 4,063 |\n| New Monkland | Falkirk North Lanarkshire | Lanarkshire | | | 7,702 | 44,312 |\n| Newbattle | Midlothian | Midlothian | | | 1,663 | 21,534 |\n| Newburgh | Fife | Fife | | | 2,232 | 2,171 |\n| Newburn | Fife | Fife | | | 1,561 | 204 |\n| Newhills | City of Aberdeen | Aberdeenshire | | | 3,459 | 12,701 |\n| Newlands | Scottish Borders | Peeblesshire | | | 6,128 | 699 |\n| Newton | City of Edinburgh Midlothian | Midlothian | | | 856 | 3,258 |\n| Newtyle | Angus | Forfarshire | | | 2,225 | 950 |\n| Nigg, Aberdeen | City of Aberdeen | Kincardineshire | | | 682 | 6,253 |\n| Nigg, Highland | Highland | Ross and Cromarty | | | 2,937 | 266 |\n| North Berwick | East Lothian | Haddingtonshire | | | 2,043 | 6,589 |\n| North Bute | Argyll and Bute | Bute | | | 7,977 | 741 |\n| North Knapdale | Argyll and Bute | Argyllshire | | | 11,841 | 491 |\n| North Uist | Na h-Eileanan Siar | Inverness-shire | Carinish, Lochmaddy, Newtonferry, Sollas | | 33,825 | 1,481 |\n| Northmaven | Shetland | Zetland | | | 20,920 | 794 |\n| Oathlaw | Angus | Forfarshire | | | 2,596 | 395 |\n| Ochiltree | East Ayrshire | Ayrshire | | | 5,621 | 4,862 |\n| Old Cumnock | East Ayrshire | Ayrshire | | | 10,365 | 9,054 |\n| Old Deer | Aberdeenshire | Aberdeenshire | | Partly in Banffshire until 1891 | 11,457 | 3,828 |\n| Old Kilpatrick | West Dunbartonshire | Dunbartonshire | | | 7,998 | 44,623 |\n| Old Luce | Dumfries and Galloway | Wigtownshire | | | 13,940 | 1,389 |\n| Old Machar | City of Aberdeen | Aberdeenshire | | | 2,897 | 22,516 |\n| Old Monkland | City of Glasgow North Lanarkshire | Lanarkshire | | | 3,127 | 82,253 |\n| Oldhamstocks | East Lothian Scottish Borders | Haddingtonshire | | Partly in Berwickshire in 1891 | 2,308 | 206 |\n| Olrig | Highland | Caithness | | | 4,547 | 1,269 |\n| Ordiquhill | Aberdeenshire | Banffshire | | | 2,472 | 485 |\n| Ormiston | East Lothian | Haddingtonshire | | | 1,497 | 2,287 |\n| Orphir | Orkney | Orkney | | | 2,645 | 537 |\n| Orwell | Perth and Kinross | Kinross-shire | | | 5,365 | 2,634 |\n| Oxnam | Scottish Borders | Roxburghshire | | | 9,455 | 258 |\n| Oyne | Aberdeenshire | Aberdeenshire | | | 2,805 | 473 |\n| Paisley | East Renfrewshire City of Glasgow Renfrewshire | Renfrewshire | | | 7,027 | 142,435 |\n| Panbride | Angus | Forfarshire | | | 2,108 | 4,025 |\n| Papa Westray | Orkney | Orkney | | | 885 | 90 |\n| Parton | Dumfries and Galloway | Kirkcudbrightshire | | | 4,854 | 176 |\n| Peebles | Scottish Borders | Peeblesshire | | Partly in Selkirkshire until 1891 | 7,169 | 8,754 |\n| Pencaitland | East Lothian | Haddingtonshire | | | 3,168 | 2,599 |\n| Penicuik | City of Edinburgh Midlothian | Midlothian | | | 5,707 | 11,571 |\n| Penninghame | Dumfries and Galloway | Wigtownshire | | | 7,886 | 3,176 |\n| Penpont | Dumfries and Galloway | Dumfriesshire | | | 11,139 | 734 |\n| Perth | Perth and Kinross | Perthshire | | | 985 | 17,394 |\n| Peterculter | City of Aberdeen | Aberdeenshire | | Partly in Kincardineshire until 1891 | 4,846 | 14,874 |\n| Peterhead | Aberdeenshire | Aberdeenshire | | | 3,930 | 20,557 |\n| Pettinain | South Lanarkshire | Lanarkshire | | | 1,432 | 276 |\n| Petty | Highland | Inverness-shire | | Partly in Nairnshire until 1891 | 4,040 | 2,090 |\n| Pitsligo | Aberdeenshire | Aberdeenshire | | | 916 | 2,251 |\n| Pittenweem | Fife | Fife | | | 54 | 1,486 |\n| Polwarth | Scottish Borders | Berwickshire | | | 1,909 | 98 |\n| Port Glasgow | Inverclyde | Renfrewshire | | | 464 | 15,608 |\n| Port of Menteith | Stirling | Perthshire | | | 7,176 | 693 |\n| Portmoak | Perth and Kinross | Kinross-shire | | | 3,725 | 1,272 |\n| Portpatrick | Dumfries and Galloway | Wigtownshire | | | 4,504 | 900 |\n| Portree | Highland | Inverness-shire | Achachork, Camastianavaig, Peinachorran, Portree, Sconser | | 24,315 | 2,969 |\n| Premnay | Aberdeenshire | Aberdeenshire | | | 2,283 | 1,100 |\n| Prestonkirk | East Lothian | Haddingtonshire | | | 4,089 | 2,402 |\n| Prestonpans | East Lothian | Haddingtonshire | | | 205 | 9,303 |\n| Rafford | Moray | Morayshire | | | 4,277 | 1,599 |\n| Rathen | Aberdeenshire | Aberdeenshire | | | 4,818 | 2,436 |\n| Ratho | City of Edinburgh | Midlothian | | | 2,009 | 2,460 |\n| Rathven | Moray | Banffshire | | | 9,995 | 12,946 |\n| Rattray | Perth and Kinross | Perthshire | | | 2,919 | 3,279 |\n| Rayne | Aberdeenshire | Aberdeenshire | | | 3,106 | 940 |\n| Reay | Highland | Caithness | | Partly in Sutherland until 1891 | 18,452 | 694 |\n| Redgorton | Perth and Kinross | Perthshire | | | 1,762 | 3,060 |\n| Renfrew | City of Glasgow Renfrewshire | Renfrewshire | | | 2,495 | 47,201 |\n| Rerrick | Dumfries and Galloway | Kirkcudbrightshire | | | 8,017 | 692 |\n| Rescobie | Angus | Forfarshire | | | 2,507 | 286 |\n| Resolis | Highland | Ross and Cromarty | | | 5,889 | 911 |\n| Rhu | Argyll and Bute | Dunbartonshire | | | 8,503 | 16,781 |\n| Rhynd | Perth and Kinross | Perthshire | | | 617 | 110 |\n| Rhynie | Aberdeenshire | Aberdeenshire | | | 4,851 | 560 |\n| Riccarton | East Ayrshire | Ayrshire | | | 3,682 | 15,993 |\n| Roberton | Scottish Borders | Roxburghshire | | Partly in Selkirkshire until 1891 | 11,955 | 199 |\n| Rogart | Highland | Sutherland | | | 37,503 | 458 |\n| Rosemarkie | Highland | Ross and Cromarty | | | 3,059 | 2,407 |\n| Rosneath | Argyll and Bute | Dunbartonshire | | | 3,450 | 3,221 |\n| Rosskeen | Highland | Ross and Cromarty | | | 16,446 | 7,894 |\n| Rothes | Moray | Morayshire | | Partly in Banffshire until 1891 | 6,959 | 1,446 |\n| Rothesay | Argyll and Bute | Bute | | | 270 | 5,377 |\n| Rothiemay | Moray | Banffshire | | Partly in Aberdeenshire until 1891 | 4,434 | 635 |\n| Rousay and Egilsay | Orkney | Orkney | | | 5,702 | 271 |\n| Roxburgh | Scottish Borders | Roxburghshire | | | 2,833 | 512 |\n| Rutherglen | City of Glasgow South Lanarkshire | Lanarkshire | | | 825 | 28,098 |\n| Ruthven | Angus | Forfarshire | | | 1,171 | 151 |\n| Ruthwell | Dumfries and Galloway | Dumfriesshire | | | 2,760 | 488 |\n| Saddell and Skipness | Argyll and Bute | Argyllshire | | | 20,899 | 663 |\n| Saline | Fife | Fife | | | 4,761 | 1,762 |\n| Saltoun | East Lothian | Haddingtonshire | | | 884 | 406 |\n| Sandsting | Shetland | Zetland | | | 18,708 | 1,152 |\n| Sandwick | Orkney | Orkney | | | 5,382 | 835 |\n| Sanquhar | Dumfries and Galloway | Dumfriesshire | | | 15,833 | 2,449 |\n| Scone | Perth and Kinross | Perthshire | | | 2,952 | 5,208 |\n| Scoonie | Fife | Fife | | | 3,042 | 9,613 |\n| Selkirk | Scottish Borders | Selkirkshire | | Partly in Roxburghshire until 1891 | 12,223 | 6,401 |\n| Shapinsay | Orkney | Orkney | | | 2,783 | 307 |\n| Shotts | North Lanarkshire West Lothian | Lanarkshire | | | 13,593 | 14,864 |\n| Skene | Aberdeenshire | Aberdeenshire | | | 4,912 | 12,208 |\n| Skirling | Scottish Borders | Peeblesshire | | | 768 | 194 |\n| Slains | Aberdeenshire | Aberdeenshire | | | 3,645 | 472 |\n| Slamannan | Falkirk | Stirlingshire | | | 3,190 | 2,403 |\n| Sleat | Highland | Inverness-shire | Armadale, Isleornsay, Kilmore, Tarskavaig | | 17,186 | 913 |\n| Smailholm | Scottish Borders | Roxburghshire | | | 1,547 | 119 |\n| Small Isles | Highland | Inverness-shire | | Islands of Canna, Sanday, Rhum, Muck and Hyskier part of Argyllshire until 1891 | 15,586 | 153 |\n| Snizort | Highland | Inverness-shire | Bernisdale, Borve, Carbost, Kensaleyre, Kingsburgh, Skeabost, Treaslane, Uig | | 20,981 | 1,350 |\n| Sorbie | Dumfries and Galloway | Wigtownshire | | | 2,798 | 557 |\n| Sorn | East Ayrshire | Ayrshire | | | 7,321 | 3,006 |\n| South Knapdale | Argyll and Bute | Argyllshire | | | 28,109 | 2,345 |\n| South Ronaldsay | Orkney | Orkney | | | 6,147 | 1,318 |\n| South Uist | Na h-Eileanan Siar | Inverness-shire | Balivanich, Bornish, Daliburgh, Howmore, Iochdar, Lochboisdale | | 39,701 | 3,227 |\n| Southdean | Scottish Borders | Roxburghshire | | | 9,562 | 294 |\n| Southend | Argyll and Bute | Argyllshire | | | 13,357 | 408 |\n| Speymouth | Moray | Morayshire | | | 2,839 | 1,370 |\n| Spott | East Lothian Scottish Borders | Haddingtonshire | | | 1,092 | 194 |\n| Sprouston | Scottish Borders | Roxburghshire | | | 3,142 | 382 |\n| Spynie | Moray | Morayshire | | | 3,595 | 6,704 |\n| St Andrews and Deerness | Orkney | Orkney | | | 5,637 | 1,007 |\n| St Andrews and St Leonards | Fife | Fife | | | 4,776 | 18,421 |\n| St Andrews-Lhanbryd | Moray | Morayshire | | | 4,264 | 8,938 |\n| St Boswells | Scottish Borders | Roxburghshire | | | 1,573 | 1,729 |\n| St Cyrus | Aberdeenshire Angus | Kincardineshire | | | 3,616 | 1,573 |\n| St Fergus | Aberdeenshire | Aberdeenshire | | Detached part of Banffshire until 1891 | 4,362 | 1,118 |\n| St Madoes | Perth and Kinross | Perthshire | | | 476 | 1,281 |\n| St Martins | Perth and Kinross | Perthshire | | | 3,385 | 946 |\n| St Monance | Fife | Fife | | | 804 | 1,357 |\n| St Mungo | Dumfries and Galloway | Dumfriesshire | | | 2,232 | 271 |\n| St Ninians | Stirling | Stirlingshire | | | 14,891 | 26,917 |\n| Stair | East Ayrshire | Ayrshire | | | 2,201 | 314 |\n| Stenness | Orkney | Orkney | | | 5,408 | 502 |\n| Stenton | East Lothian Scottish Borders | Haddingtonshire | | | 3,482 | 405 |\n| Stevenston | North Ayrshire | Ayrshire | | | 925 | 11,423 |\n| Stewarton | East Ayrshire | Ayrshire | | | 5,981 | 7,815 |\n| Stichill | Scottish Borders | Roxburghshire | | | 805 | 203 |\n| Stirling | Stirling | Stirlingshire | | Partly in Clackmannanshire until 1891 | 551 | 17,050 |\n| Stobo | Scottish Borders | Peeblesshire | | | 4,332 | 183 |\n| Stonehouse | South Lanarkshire | Lanarkshire | | | 1,903 | 5,883 |\n| Stoneykirk | Dumfries and Galloway | Wigtownshire | | | 9,152 | 1,179 |\n| Stornoway | Na h-Eileanan Siar | Ross and Cromarty | | | 26,689 | 13,009 |\n| Stow | Scottish Borders | Midlothian | | | 9,189 | 1,207 |\n| Stracathro | Aberdeenshire Angus | Forfarshire | | | 2,839 | 299 |\n| Strachan | Aberdeenshire | Kincardineshire | | | 15,616 | 544 |\n| Strachur | Argyll and Bute | Argyllshire | Strachur | | 7,373 | 606 |\n| Straiton | East Ayrshire South Ayrshire | Ayrshire | | | 23,822 | 2,171 |\n| Stranraer | Dumfries and Galloway | Wigtownshire | | | 31 | 561 |\n| Strath | Highland | Inverness-shire | Broadford, Elgol, Kilmarie, Kyleakin, Luib, Torrin | | 28,567 | 1,869 |\n| Strathblane | Stirling | Stirlingshire | | | 3,744 | 2,342 |\n| Strathdon | Aberdeenshire | Aberdeenshire | | | 20,160 | 410 |\n| Strathlachlan | Argyll and Bute | Argyllshire | | | 5,434 | 146 |\n| Strathmiglo | Fife | Fife | | | 3,256 | 1,274 |\n| Strichen | Aberdeenshire | Aberdeenshire | | | 6,873 | 1,621 |\n| Stromness | Orkney | Orkney | | | 2,860 | 2,286 |\n| Stronsay | Orkney | Orkney | | | 3,618 | 353 |\n| Swinton | Scottish Borders | Berwickshire | | | 4,066 | 578 |\n| Symington | South Ayrshire | Ayrshire | | | 2,479 | 1,642 |\n| Symington | South Lanarkshire | Lanarkshire | | | 628 | 800 |\n| Tain | Highland | Ross and Cromarty | | | 7,464 | 4,369 |\n| Tannadice | Angus | Forfarshire | | | 12,808 | 522 |\n| Tarbat | Highland | Ross and Cromarty | | | 3,442 | 870 |\n| Tarbolton | South Ayrshire | Ayrshire | | | 5,066 | 5,675 |\n| Tarland | Aberdeenshire | Aberdeenshire | | | 3,974 | 1,009 |\n| Tarves | Aberdeenshire | Aberdeenshire | | | 7,413 | 2,354 |\n| Tealing | Angus | Forfarshire | | | 1,646 | 622 |\n| Temple | Midlothian | Midlothian | | | 5,377 | 225 |\n| Terregles | Dumfries and Galloway | Kirkcudbrightshire | | | 1,860 | 7,354 |\n| Teviothead | Scottish Borders | Roxburghshire | | | 12,988 | 146 |\n| Thurso | Highland | Caithness | | | 10,871 | 9,112 |\n| Tibbermore | Perth and Kinross | Perthshire | | | 2,635 | 26,564 |\n| Tillicoultry | Clackmannanshire | Clackmannanshire | | | 3,915 | 6,129 |\n| Tingwall | Shetland | Zetland | | | 12,437 | 3,058 |\n| Tinwald | Dumfries and Galloway | Dumfriesshire | | | 4,374 | 588 |\n| Tiree | Argyll and Bute | Argyllshire | | | 7,918 | 653 |\n| Tongland | Dumfries and Galloway | Kirkcudbrightshire | | | 4,854 | 454 |\n| Tongue | Highland | Sutherland | | | 54,335 | 564 |\n| Torosay | Argyll and Bute | Argyllshire | | | 24,537 | 645 |\n| Torphichen | West Lothian | Linlithgowshire | | | 3,564 | 3,247 |\n| Torryburn | Fife | Fife | | | 2,091 | 1,587 |\n| Torthorwald | Dumfries and Galloway | Dumfriesshire | | | 3,159 | 1,208 |\n| Tough | Aberdeenshire | Aberdeenshire | | | 2,307 | 334 |\n| Towie | Aberdeenshire | Aberdeenshire | | | 4,931 | 126 |\n| Tranent | East Lothian | Haddingtonshire | | | 2,468 | 18,073 |\n| Traquair | Scottish Borders | Peeblesshire | | | 6,928 | 1,187 |\n| Trinity Gask | Perth and Kinross | Perthshire | | | 3,277 | 291 |\n| Troqueer | Dumfries and Galloway | Kirkcudbrightshire | | | 3,240 | 11,659 |\n| Tulliallan | Fife | Fife | | Detached part of Perthshire until 1891 | 2,193 | 3,001 |\n| Tullynessle and Forbes | Aberdeenshire | Aberdeenshire | | | 4,049 | 653 |\n| Tundergarth | Dumfries and Galloway | Dumfriesshire | | | 1,604 | 141 |\n| Turriff | Aberdeenshire | Aberdeenshire | | | 6,593 | 6,306 |\n| Tweedsmuir | Scottish Borders | Peeblesshire | | | 13,000 | 114 |\n| Twynholm | Dumfries and Galloway | Kirkcudbrightshire | | | 4,664 | 1,084 |\n| Tynron | Dumfries and Galloway | Dumfriesshire | | | 5,678 | 135 |\n| Tyrie | Aberdeenshire | Aberdeenshire | | | 1,928 | 1,367 |\n| Udny | Aberdeenshire | Aberdeenshire | | | 4,237 | 2,407 |\n| Uig | Na h-Eileanan Siar | Ross and Cromarty | | | 55,752 | 1,595 |\n| Unst | Shetland | Zetland | | | 12,260 | 632 |\n| Uphall | West Lothian | Linlithgowshire | | | 1,948 | 18,463 |\n| Urquhart | Moray | Morayshire | | | 5,027 | 1,650 |\n| Urquhart and Glenmoriston | Highland | Inverness-shire | | | 52,716 | 2,386 |\n| Urquhart and Logie Wester | Highland | Ross and Cromarty | | Partly in detached part of Nairnshire until 1891 | 5,023 | 3,678 |\n| Urr | Dumfries and Galloway | Kirkcudbrightshire | | | 5,098 | 5,330 |\n| Urray | Highland | Ross and Cromarty | | Partly in Inverness-shire until 1891 | 14,741 | 3,920 |\n| Walls and Flotta | Orkney | Orkney | | | 3,922 | 454 |\n| Walls and Sandness | Shetland | Zetland | | | 7,055 | 619 |\n| Walston | South Lanarkshire | Lanarkshire | | | 6,610 | 290 |\n| Wamphray | Dumfries and Galloway | Dumfriesshire | | | 4,034 | 220 |\n| Watten | Highland | Caithness | | | 14,182 | 749 |\n| Weem | Perth and Kinross | Perthshire | | | 2,694 | 104 |\n| Wemyss | Fife | Fife | | | 986 | 18,255 |\n| West Calder | West Lothian | Midlothian | | | 7,225 | 8,440 |\n| West Kilbride | North Ayrshire | Ayrshire | | | 5,847 | 5,699 |\n| West Linton | Scottish Borders | Peeblesshire | | | 8,958 | 2,433 |\n| Westerkirk | Dumfries and Galloway | Dumfriesshire | | | 10,375 | 169 |\n| Westray | Orkney | Orkney | | | 4,756 | 588 |\n| Westruther | Scottish Borders | Berwickshire | | | 5,742 | 393 |\n| Whitburn | West Lothian | Linlithgowshire | | | 4,339 | 20,968 |\n| Whitekirk and Tyninghame | East Lothian | Haddingtonshire | | | 2,966 | 512 |\n| Whithorn | Dumfries and Galloway | Wigtownshire | | | 3,688 | 1,311 |\n| Whitsome | Scottish Borders | Berwickshire | | | 194 | 98 |\n| Whittingehame | East Lothian | Haddingtonshire | | | 1,424 | 186 |\n| Wick | Highland | Caithness | | | 19,262 | 9,255 |\n| Wigtown | Dumfries and Galloway | Wigtownshire | | | 3,424 | 1,168 |\n| Wiston and Roberton | South Lanarkshire | Lanarkshire | | | 4,158 | 324 |\n| Yarrow | Scottish Borders | Selkirkshire | | Merged with Megget in Peeblesshire until 1891 | 21,117 | 281 |\n| Yell | Shetland | Zetland | | | 21,611 | 966 |\n| Yester | East Lothian | Haddingtonshire | | | 7,992 | 1,179 |\n| Yetholm | Scottish Borders | Roxburghshire | | | 2,686 | 668 |" + }, + { + "from": "human", + "value": "Consider the table titled 'List of civil parishes in Scotland', with its section title 'List'\nFormulate a sentence describing the highlighted cells' content." + }, + { + "from": "gpt", + "value": "Kilbarchan is a civil parish in Renfrewshire, Scotland." + } + ] + }, + { + "id": "table_instructV_multi_round_19747", + "image": "table_instructV/images/ToTTo_train_table_28344.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Name | Score | Balls | 4s | 6s | S/R | Team | Opposition | Venue | Date | ODI #. |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NJ Astle | 101 | 132 | 8 | 2 | 76.51 | New Zealand | England | Ahmedabad | 14 February 1996 | 1048 |\n| G Kirsten | 188* | 159 | 13 | 4 | 118.23 | South Africa | United Arab Emirates | Rawalpindi | 16 February 1996 | 1049 |\n| SR Tendulkar | 127* | 138 | 15 | 1 | 92.02 | India | Kenya | Barabati Stadium, Cuttack | 18 February 1996 | 1052 |\n| GA Hick | 104* | 133 | 6 | 2 | 78.19 | England | Netherlands | Peshawar | 22 February 1996 | 1057 |\n| ME Waugh | 130 | 128 | 14 | 1 | 101.56 | Australia | Kenya | Visakhapatnam | 23 February 1996 | 1058 |\n| ME Waugh | 126 | 135 | 8 | 3 | 93.33 | Australia | India | Wankhede Stadium, Mumbai | 27 February 1996 | 1065 |\n| Aamer Sohail | 111 | 139 | 8 | 0 | 79.85 | Pakistan | South Africa | National Stadium, Karachi | 29 February 1996 | 1067 |\n| SR Tendulkar | 137 | 137 | 8 | 5 | 100.00 | India | Sri Lanka | FSK, Delhi | 2 March 1996 | 1070 |\n| RT Ponting | 102 | 112 | 5 | 1 | 91.07 | Australia | West Indies | Jaipur | 4 March 1996 | 1072 |\n| AC Hudson | 161 | 132 | 13 | 4 | 121.96 | South Africa | Netherlands | Rawalpindi | 5 March 1996 | 1073 |\n| PA de Silva | 145 | 115 | 14 | 5 | 126.08 | Sri Lanka | Kenya | Kandy | 6 March 1996 | 1074 |\n| VG Kambli | 106 | 110 | 11 | 0 | 96.36 | India | Zimbabwe | Green Park, Kanpur | 6 March 1996 | 1075 |\n| BC Lara | 111 | 94 | 16 | 0 | 118.08 | West Indies | South Africa | National Stadium, Karachi | 11 March 1996 | 1079 |\n| CZ Harris | 130 | 124 | 13 | 4 | 104.83 | New Zealand | Australia | Chennai | 11 March 1996 | 1080 |\n| ME Waugh | 110 | 112 | 6 | 2 | 98.21 | Australia | New Zealand | Chennai | 11 March 1996 | 1080 |\n| PA de Silva | 107* | 124 | 13 | 0 | 86.29 | Sri Lanka | Australia | Gaddafi Stadium, Lahore | 17 March 1996 | 1083 |" + }, + { + "from": "human", + "value": "Presented is a Wikipedia table named '1996 Cricket World Cup', which is extracted from a section heading 'List of centuries'.\nAs you can see, some table cells are highlighted with a different color. Please generate a one-sentence summary of these cells." + }, + { + "from": "gpt", + "value": "Gary Kirsten scored 188 not out against United Arab Emirates at Rawalpindi." + } + ] + }, + { + "id": "table_instructV_multi_round_19818", + "image": "table_instructV/images/Rotowire_train_table_2631.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bulls | Chicago | 113 | 30 | 25 | 32 | 26 | 29 | 47 | 8 | 46 | 77 | 39 | 34 | 20 | | | | |\n| Cavaliers | Cleveland | 98 | 26 | 22 | 29 | 21 | 20 | 43 | 16 | 44 | 73 | 26 | 33 | 22 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Derrick Rose | 41 | 30 | 4 | 7 | 12-24 | 50% | 0-2 | 0% | 6-6 | 100% | 1 | 2 | 0 | 1 | 3 | 3 | G | Chicago |\n| Tony Snell | 38 | 22 | 2 | 1 | 9-11 | 82% | 4-6 | 67% | 0-0 | 0% | 3 | 0 | 0 | 0 | 2 | 3 | G | Chicago |\n| Pau Gasol | 32 | 18 | 10 | 6 | 6-16 | 38% | 1-1 | 100% | 5-5 | 100% | 1 | 2 | 1 | 2 | 8 | 3 | F | Chicago |\n| Taj Gibson | 32 | 13 | 6 | 1 | 5-8 | 63% | 0-0 | 0% | 3-5 | 60% | 0 | 2 | 0 | 2 | 4 | 3 | N/A | Chicago |\n| Joakim Noah | 31 | 10 | 15 | 8 | 2-6 | 33% | 0-0 | 0% | 6-10 | 60% | 0 | 1 | 1 | 5 | 10 | 3 | C | Chicago |\n| Aaron Brooks | 19 | 8 | 3 | 2 | 3-12 | 25% | 2-5 | 40% | 0-0 | 0% | 3 | 0 | 1 | 1 | 2 | 3 | N/A | Chicago |\n| Nikola Mirotic | 19 | 7 | 4 | 2 | 3-8 | 38% | 1-5 | 20% | 0-0 | 0% | 1 | 0 | 0 | 2 | 2 | 3 | N/A | Chicago |\n| Mike Dunleavy | 28 | 5 | 3 | 1 | 2-7 | 29% | 1-4 | 25% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 2 | F | Chicago |\n| Doug McDermott | 1 | 0 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Chicago |\n| Cameron Bairstow | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Nazr Mohammed | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| E'Twaun Moore | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Cavaliers | | | | | | | | | | | | | | | | | | |\n| LeBron James | 34 | 31 | 5 | 4 | 12-26 | 46% | 2-9 | 22% | 5-6 | 83% | 0 | 8 | 0 | 0 | 5 | 3 | F | Cleveland |\n| Kyrie Irving | 38 | 17 | 6 | 7 | 6-18 | 33% | 1-3 | 33% | 4-6 | 67% | 1 | 1 | 1 | 3 | 3 | 1 | G | Cleveland |\n| Timofey Mozgov | 26 | 13 | 11 | 0 | 5-6 | 83% | 0-0 | 0% | 3-6 | 50% | 0 | 1 | 1 | 2 | 9 | 5 | C | Cleveland |\n| Tristan Thompson | 32 | 10 | 8 | 1 | 5-5 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 3 | 5 | 3 | F | Cleveland |\n| James Jones | 30 | 9 | 3 | 1 | 2-8 | 25% | 2-8 | 25% | 3-3 | 100% | 1 | 1 | 0 | 1 | 2 | 3 | N/A | Cleveland |\n| JR Smith | 31 | 8 | 4 | 4 | 3-10 | 30% | 1-5 | 20% | 1-1 | 100% | 3 | 2 | 1 | 0 | 4 | 4 | G | Cleveland |\n| Iman Shumpert | 22 | 6 | 2 | 1 | 2-6 | 33% | 2-4 | 50% | 0-0 | 0% | 0 | 2 | 0 | 1 | 1 | 1 | N/A | Cleveland |\n| Matthew Dellavedova | 16 | 2 | 2 | 2 | 1-4 | 25% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Cleveland |\n| Shawn Marion | 8 | 2 | 0 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Cleveland |\n| Mike Miller | 3 | 0 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Cleveland |\n| Kevin Love | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Brendan Haywood | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |" + }, + { + "from": "human", + "value": "Using the data statistics shown for the NBA game on 12th February, 2015 in this picture, please construct an in-depth analysis and summary of the game." + }, + { + "from": "gpt", + "value": "The Chicago Bulls (34-20) handled the Cleveland Cavaliers (33-22), 113-98, on Thursday. Chicago enters the All-Star break with a four-game winning streak in hand, during which they held each opponent below 100 points. On the backs of five players achieving double-digit points, the Bulls outscored the Cavaliers in each quarter, yet remain behind in the season series, 1-2. Derrick Rose led the way with 30 points, marking just the fourth time this season he 's surpassed that threshold. In the frontcourt, both Pau Gasol (18 points and 10 rebounds) and Joakim Noah (10 points and 15 boards) tallied double-doubles, with the Spaniard notching his 14th in row. Meanwhile, Tony Snell garnered his third starting nod in six contests due to the absences of Jimmy Butler (shoulder) and Kirk Hinrich (toe), and the second-year pro responded with 22 points and a game-high four three-pointers in 38 minutes. Once Chicago returns from their midseason respite, the Detroit Pistons await on Friday, Feb. 20 in the Palace of Auburn Hills. Thursday 's defeat doubles as Cleveland 's second in four outings, but LeBron James did everything in his power to keep the deficit somewhat close, accruing 31 points, five rebounds, and four assists. However, with Kevin Love out of commission as a result of a corneal abrasion sustained during Wednesday 's win against the Miami Heat, the road was all the more winding when 16 turnovers were transformed into 24 points for the Bulls. The Cavaliers' foibles on offense were compounded by miserable success from three-point range--just 8-for-31, or 26 percent--and subsequently, just three of James' teammates scored in double figures, including Kyrie Irving (17), Timofey Mozgov (13), and Tristan Thompson (10). After the break, Cleveland will embark upon a three-game road trip, tipping off first against the Washington Wizards on Friday, Feb. 20." + } + ] + }, + { + "id": "table_instructV_multi_round_19821", + "image": "table_instructV/images/Rotowire_train_table_152.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hawks | Atlanta | 95 | 27 | 20 | 24 | 24 | 24 | 51 | 19 | 40 | 72 | 22 | 38 | 36 | | | | |\n| Suns | Phoenix | 91 | 12 | 32 | 24 | 23 | 25 | 48 | 15 | 37 | 58 | 23 | 22 | 53 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hawks | | | | | | | | | | | | | | | | | | |\n| Dennis Schroder | 39 | 27 | 6 | 9 | 12-27 | 44% | 2-8 | 25% | 1-1 | 100% | 1 | 8 | 0 | 0 | 6 | 4 | G | Atlanta |\n| Ersan Ilyasova | 33 | 18 | 12 | 1 | 6-15 | 40% | 2-7 | 29% | 4-6 | 67% | 1 | 2 | 0 | 3 | 9 | 4 | F | Atlanta |\n| Taurean Prince | 36 | 15 | 6 | 1 | 5-10 | 50% | 1-4 | 25% | 4-5 | 80% | 1 | 2 | 2 | 0 | 6 | 5 | F | Atlanta |\n| Dwight Howard | 36 | 15 | 11 | 4 | 6-8 | 75% | 0-0 | 0% | 3-5 | 60% | 1 | 3 | 4 | 2 | 9 | 4 | C | Atlanta |\n| Kris Humphries | 10 | 7 | 5 | 2 | 0-3 | 0% | 0-0 | 0% | 7-8 | 88% | 0 | 1 | 0 | 2 | 3 | 2 | N/A | Atlanta |\n| Jose Calderon | 18 | 6 | 1 | 2 | 2-5 | 40% | 0-2 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Atlanta |\n| Mike Dunleavy | 18 | 3 | 4 | 1 | 1-4 | 25% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 1 | 3 | 1 | N/A | Atlanta |\n| Tim Hardaway Jr. | 32 | 2 | 3 | 3 | 1-9 | 11% | 0-4 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 2 | G | Atlanta |\n| Mike Muscala | 11 | 2 | 1 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 0 | N/A | Atlanta |\n| DeAndre' Bembry | 5 | 0 | 2 | 0 | 0-2 | 0% | 0-0 | 0% | 0-2 | 0% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | Atlanta |\n| Ryan Kelly | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Thabo Sefolosha | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Malcolm Delaney | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Suns | | | | | | | | | | | | | | | | | | |\n| TJ Warren | 40 | 24 | 8 | 3 | 11-20 | 55% | 0-1 | 0% | 2-2 | 100% | 2 | 6 | 2 | 4 | 4 | 5 | F | Phoenix |\n| Tyler Ulis | 40 | 15 | 6 | 10 | 6-16 | 38% | 1-5 | 20% | 2-2 | 100% | 1 | 1 | 0 | 2 | 4 | 2 | G | Phoenix |\n| Derrick Jones, Jr. | 34 | 13 | 3 | 0 | 6-11 | 55% | 1-2 | 50% | 0-2 | 0% | 1 | 0 | 0 | 2 | 1 | 1 | G | Phoenix |\n| Alex Len | 25 | 12 | 7 | 0 | 3-9 | 33% | 0-1 | 0% | 6-10 | 60% | 3 | 3 | 1 | 2 | 5 | 4 | C | Phoenix |\n| Marquese Chriss | 19 | 7 | 3 | 1 | 2-11 | 18% | 1-5 | 20% | 2-4 | 50% | 0 | 2 | 1 | 2 | 1 | 5 | F | Phoenix |\n| Jarell Eddie | 18 | 7 | 2 | 0 | 2-9 | 22% | 2-8 | 25% | 1-2 | 50% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Phoenix |\n| Jared Dudley | 35 | 6 | 8 | 7 | 2-11 | 18% | 1-6 | 17% | 1-2 | 50% | 3 | 1 | 2 | 0 | 8 | 6 | N/A | Phoenix |\n| Alan Williams | 15 | 4 | 8 | 0 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 2 | 6 | 5 | N/A | Phoenix |\n| Ronnie Price | 14 | 3 | 3 | 4 | 1-4 | 25% | 1-3 | 33% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 3 | N/A | Phoenix |\n| Leandro Barbosa | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Tyson Chandler | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Eric Bledsoe | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Brandon Knight | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |" + }, + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the HTML representation of the table in text format." + }, + { + "from": "gpt", + "value": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
TEAM-NAME CITY PTS PTS_QTR1 PTS_QTR2 PTS_QTR3 PTS_QTR4 AST REB TOV FG_PCT FT_PCT FG3_PCT WINS LOSSES
Hawks Atlanta 95 27 20 24 24 24 51 19 40 72 22 38 36
Suns Phoenix 91 12 32 24 23 25 48 15 37 58 23 22 53
PLAYER_NAME MIN PTS REB AST FG FG_PCT FG3 FG3_PCT FT FT_PCT STL TO BLK OREB DREB PF START_POSITION TEAM_CITY
Hawks
Dennis Schroder 39 27 6 9 12-27 44% 2-8 25% 1-1 100% 1 8 0 0 6 4 G Atlanta
Ersan Ilyasova 33 18 12 1 6-15 40% 2-7 29% 4-6 67% 1 2 0 3 9 4 F Atlanta
Taurean Prince 36 15 6 1 5-10 50% 1-4 25% 4-5 80% 1 2 2 0 6 5 F Atlanta
Dwight Howard 36 15 11 4 6-8 75% 0-0 0% 3-5 60% 1 3 4 2 9 4 C Atlanta
Kris Humphries 10 7 5 2 0-3 0% 0-0 0% 7-8 88% 0 1 0 2 3 2 N/A Atlanta
Jose Calderon 18 6 1 2 2-5 40% 0-2 0% 2-2 100% 0 1 0 0 1 1 N/A Atlanta
Mike Dunleavy 18 3 4 1 1-4 25% 1-2 50% 0-0 0% 0 0 0 1 3 1 N/A Atlanta
Tim Hardaway Jr. 32 2 3 3 1-9 11% 0-4 0% 0-0 0% 0 1 0 0 3 2 G Atlanta
Mike Muscala 11 2 1 1 1-2 50% 0-0 0% 0-0 0% 1 1 0 0 1 0 N/A Atlanta
DeAndre' Bembry 5 0 2 0 0-2 0% 0-0 0% 0-2 0% 0 0 0 1 1 0 N/A Atlanta
Ryan Kelly N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Atlanta
Thabo Sefolosha N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Atlanta
Malcolm Delaney N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Atlanta
Suns
TJ Warren 40 24 8 3 11-20 55% 0-1 0% 2-2 100% 2 6 2 4 4 5 F Phoenix
Tyler Ulis 40 15 6 10 6-16 38% 1-5 20% 2-2 100% 1 1 0 2 4 2 G Phoenix
Derrick Jones, Jr. 34 13 3 0 6-11 55% 1-2 50% 0-2 0% 1 0 0 2 1 1 G Phoenix
Alex Len 25 12 7 0 3-9 33% 0-1 0% 6-10 60% 3 3 1 2 5 4 C Phoenix
Marquese Chriss 19 7 3 1 2-11 18% 1-5 20% 2-4 50% 0 2 1 2 1 5 F Phoenix
Jarell Eddie 18 7 2 0 2-9 22% 2-8 25% 1-2 50% 0 0 0 0 2 0 N/A Phoenix
Jared Dudley 35 6 8 7 2-11 18% 1-6 17% 1-2 50% 3 1 2 0 8 6 N/A Phoenix
Alan Williams 15 4 8 0 2-5 40% 0-0 0% 0-0 0% 1 2 0 2 6 5 N/A Phoenix
Ronnie Price 14 3 3 4 1-4 25% 1-3 33% 0-0 0% 1 0 0 0 3 3 N/A Phoenix
Leandro Barbosa N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Phoenix
Tyson Chandler N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Phoenix
Eric Bledsoe N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Phoenix
Brandon Knight N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Phoenix
" + }, + { + "from": "human", + "value": "What are the cells' values in the following position in the table?\ncolumn 10\n\nShow the cells in a column in the JSON format {\"column_id\":\"\", \"cell_list\":\"\"}. For example, {\"column_id\":\"6\", \"cell_list\": [\"A\", \"B\", \"C\"]}." + }, + { + "from": "gpt", + "value": "The target cell values of column 10: {\"column_id\": \"10\", \"cell_list\": ['TOV', '19', '15', '', 'FT', '', '1-1', '4-6', '4-5', '3-5', '7-8', '2-2', '0-0', '0-0', '0-0', '0-2', 'N/A', 'N/A', 'N/A', '', '2-2', '2-2', '0-2', '6-10', '2-4', '1-2', '1-2', '0-0', '0-0', 'N/A', 'N/A', 'N/A', 'N/A']}" + }, + { + "from": "human", + "value": "Write a match report for the NBA game on 28/03/2017 between Hawks and Suns. Use the given statistics in the image as your reference." + }, + { + "from": "gpt", + "value": "Atlanta had lost seven-straight headed into this game, as this win was desperately needed. Defense was key for the Hawks, as they held the Suns to 37 percent from the field, 23 percent from three-point range and 58 percent from the free-throw line. T.J. Warren led Phoenix, as he accrued 24 points, eight rebounds, three assists, two steals and two blocks. Tyler Ulis provided 15 points, six rebounds and 10 assists. Alex Len totaled 12 points, seven rebounds and three steals. Dennis Schroder was the star, as he accumulated 27 points, six rebounds and nine assists. Dwight Howard collected 15 points, 11 rebounds, four assists and four steals en route to a double-double. Ersan Ilyasova amassed 18 points and 12 rebounds. Taurean Prince accrued 15 points and six rebounds in another start for Paul Millsap." + } + ] + }, + { + "id": "table_instructV_multi_round_19912", + "image": "table_instructV/images/Rotowire_train_table_2141.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pistons | Detroit | 102 | 32 | 19 | 20 | 31 | 24 | 44 | 9 | 46 | 67 | 38 | 12 | 11 | | | | |\n| Bulls | Chicago | 91 | 21 | 23 | 28 | 19 | 15 | 45 | 14 | 44 | 72 | 13 | 11 | 10 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pistons | | | | | | | | | | | | | | | | | | |\n| Tobias Harris | 40 | 22 | 7 | 2 | 9-16 | 56% | 2-4 | 50% | 2-2 | 100% | 1 | 0 | 1 | 0 | 7 | 1 | F | Detroit |\n| Andre Drummond | 25 | 15 | 10 | 0 | 7-13 | 54% | 0-0 | 0% | 1-4 | 25% | 1 | 0 | 3 | 3 | 7 | 3 | C | Detroit |\n| Marcus Morris | 26 | 13 | 1 | 0 | 5-9 | 56% | 3-5 | 60% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 2 | F | Detroit |\n| Kentavious Caldwell-Pope | 31 | 12 | 3 | 3 | 5-10 | 50% | 1-5 | 20% | 1-2 | 50% | 1 | 2 | 0 | 1 | 2 | 3 | G | Detroit |\n| Darrun Hilliard | 17 | 9 | 0 | 0 | 4-7 | 57% | 1-3 | 33% | 0-0 | 0% | 2 | 0 | 0 | 0 | 0 | 2 | N/A | Detroit |\n| Jon Leuer | 23 | 9 | 5 | 1 | 3-6 | 50% | 0-1 | 0% | 3-4 | 75% | 1 | 0 | 0 | 1 | 4 | 2 | N/A | Detroit |\n| Aron Baynes | 23 | 8 | 9 | 1 | 3-6 | 50% | 0-0 | 0% | 2-2 | 100% | 2 | 1 | 1 | 3 | 6 | 2 | N/A | Detroit |\n| Reggie Jackson | 18 | 7 | 3 | 7 | 2-9 | 22% | 1-1 | 100% | 2-3 | 67% | 2 | 2 | 0 | 0 | 3 | 3 | G | Detroit |\n| Ish Smith | 30 | 7 | 5 | 10 | 2-11 | 18% | 0-2 | 0% | 3-4 | 75% | 0 | 0 | 0 | 1 | 4 | 3 | N/A | Detroit |\n| Stanley Johnson | 6 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 2 | N/A | Detroit |\n| Boban Marjanovic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Beno Udrih | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Henry Ellenson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Jimmy Butler | 43 | 32 | 6 | 4 | 11-21 | 52% | 0-4 | 0% | 10-10 | 100% | 0 | 3 | 1 | 0 | 6 | 1 | F | Chicago |\n| Dwyane Wade | 34 | 19 | 3 | 8 | 5-13 | 39% | 0-2 | 0% | 9-10 | 90% | 1 | 2 | 0 | 0 | 3 | 3 | G | Chicago |\n| Taj Gibson | 29 | 11 | 10 | 0 | 5-10 | 50% | 0-1 | 0% | 1-2 | 50% | 2 | 2 | 0 | 1 | 9 | 4 | F | Chicago |\n| Rajon Rondo | 37 | 10 | 3 | 1 | 4-10 | 40% | 1-2 | 50% | 1-3 | 33% | 0 | 3 | 1 | 1 | 2 | 4 | G | Chicago |\n| Robin Lopez | 33 | 8 | 8 | 1 | 3-5 | 60% | 0-0 | 0% | 2-6 | 33% | 0 | 3 | 3 | 3 | 5 | 1 | C | Chicago |\n| Nikola Mirotic | 23 | 5 | 6 | 0 | 2-7 | 29% | 1-4 | 25% | 0-0 | 0% | 2 | 0 | 1 | 0 | 6 | 2 | N/A | Chicago |\n| Cristiano Felicio | 15 | 4 | 6 | 0 | 2-4 | 50% | 0-0 | 0% | 0-1 | 0% | 0 | 1 | 1 | 4 | 2 | 1 | N/A | Chicago |\n| Isaiah Canaan | 23 | 2 | 3 | 1 | 1-5 | 20% | 0-2 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 3 | N/A | Chicago |\n| Jerian Grant | 4 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Chicago |\n| RJ Hunter | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Denzel Valentine | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Bobby Portis | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Paul Zipser | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |" + }, + { + "from": "human", + "value": "Utilizing the data from the box-score and line-score tables of the NBA game featuring Pistons versus Bulls on 06/12/2016, craft a game report highlighting the key moments and statistics." + }, + { + "from": "gpt", + "value": "After a fairly inconsistent start to the 2016-17 season, Tobias Harris has been on a bit of an offensive tear recently. After his 22-point performance in Tuesday 's win over the Bulls, Harris is now averaging 20 points per game while shooting 53 percent from the field overall and a scorching 48 percent from behind the arc. Meanwhile, the Bulls have their wing playing unconsciously on offense, as Jimmy Butler 's 32-point performance was the result of yet another great shooting night from the All-Star. Since scoring 40 points against the Lakers on Nov. 20, Butler has been scoring 29 points per game while shooting 49 percent from the field. And while that field goal percentage is n't as high as he may like, Butler has been making a living at the free throw line that stretch. After his 10-of-10 performance at the charity stripe Tuesday, Butler has now made his last 18 free throw attempts and 78 of his last 89 (88 percent) over that eight-game stretch." + }, + { + "from": "human", + "value": "Watch this table and show a latex-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|}\n\\hline\n TEAM-NAME & CITY & PTS & PTS\\_QTR1 & PTS\\_QTR2 & PTS\\_QTR3 & PTS\\_QTR4 & AST & REB & TOV & FG\\_PCT & FT\\_PCT & FG3\\_PCT & WINS & LOSSES & & & & \\\\\n\\hline\n Pistons & Detroit & 102 & 32 & 19 & 20 & 31 & 24 & 44 & 9 & 46 & 67 & 38 & 12 & 11 & & & & \\\\\n\\hline\n Bulls & Chicago & 91 & 21 & 23 & 28 & 19 & 15 & 45 & 14 & 44 & 72 & 13 & 11 & 10 & & & & \\\\\n\\hline\n & & & & & & & & & & & & & & & & & & \\\\\n\\hline\n PLAYER\\_NAME & MIN & PTS & REB & AST & FG & FG\\_PCT & FG3 & FG3\\_PCT & FT & FT\\_PCT & STL & TO & BLK & OREB & DREB & PF & START\\_POSITION & TEAM\\_CITY \\\\\n\\hline\n Pistons & & & & & & & & & & & & & & & & & & \\\\\n\\hline\n Tobias Harris & 40 & 22 & 7 & 2 & 9-16 & 56\\% & 2-4 & 50\\% & 2-2 & 100\\% & 1 & 0 & 1 & 0 & 7 & 1 & F & Detroit \\\\\n\\hline\n Andre Drummond & 25 & 15 & 10 & 0 & 7-13 & 54\\% & 0-0 & 0\\% & 1-4 & 25\\% & 1 & 0 & 3 & 3 & 7 & 3 & C & Detroit \\\\\n\\hline\n Marcus Morris & 26 & 13 & 1 & 0 & 5-9 & 56\\% & 3-5 & 60\\% & 0-0 & 0\\% & 0 & 2 & 0 & 0 & 1 & 2 & F & Detroit \\\\\n\\hline\n Kentavious Caldwell-Pope & 31 & 12 & 3 & 3 & 5-10 & 50\\% & 1-5 & 20\\% & 1-2 & 50\\% & 1 & 2 & 0 & 1 & 2 & 3 & G & Detroit \\\\\n\\hline\n Darrun Hilliard & 17 & 9 & 0 & 0 & 4-7 & 57\\% & 1-3 & 33\\% & 0-0 & 0\\% & 2 & 0 & 0 & 0 & 0 & 2 & N/A & Detroit \\\\\n\\hline\n Jon Leuer & 23 & 9 & 5 & 1 & 3-6 & 50\\% & 0-1 & 0\\% & 3-4 & 75\\% & 1 & 0 & 0 & 1 & 4 & 2 & N/A & Detroit \\\\\n\\hline\n Aron Baynes & 23 & 8 & 9 & 1 & 3-6 & 50\\% & 0-0 & 0\\% & 2-2 & 100\\% & 2 & 1 & 1 & 3 & 6 & 2 & N/A & Detroit \\\\\n\\hline\n Reggie Jackson & 18 & 7 & 3 & 7 & 2-9 & 22\\% & 1-1 & 100\\% & 2-3 & 67\\% & 2 & 2 & 0 & 0 & 3 & 3 & G & Detroit \\\\\n\\hline\n Ish Smith & 30 & 7 & 5 & 10 & 2-11 & 18\\% & 0-2 & 0\\% & 3-4 & 75\\% & 0 & 0 & 0 & 1 & 4 & 3 & N/A & Detroit \\\\\n\\hline\n Stanley Johnson & 6 & 0 & 1 & 0 & 0-1 & 0\\% & 0-0 & 0\\% & 0-0 & 0\\% & 0 & 2 & 0 & 0 & 1 & 2 & N/A & Detroit \\\\\n\\hline\n Boban Marjanovic & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Detroit \\\\\n\\hline\n Beno Udrih & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Detroit \\\\\n\\hline\n Henry Ellenson & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Detroit \\\\\n\\hline\n Bulls & & & & & & & & & & & & & & & & & & \\\\\n\\hline\n Jimmy Butler & 43 & 32 & 6 & 4 & 11-21 & 52\\% & 0-4 & 0\\% & 10-10 & 100\\% & 0 & 3 & 1 & 0 & 6 & 1 & F & Chicago \\\\\n\\hline\n Dwyane Wade & 34 & 19 & 3 & 8 & 5-13 & 39\\% & 0-2 & 0\\% & 9-10 & 90\\% & 1 & 2 & 0 & 0 & 3 & 3 & G & Chicago \\\\\n\\hline\n Taj Gibson & 29 & 11 & 10 & 0 & 5-10 & 50\\% & 0-1 & 0\\% & 1-2 & 50\\% & 2 & 2 & 0 & 1 & 9 & 4 & F & Chicago \\\\\n\\hline\n Rajon Rondo & 37 & 10 & 3 & 1 & 4-10 & 40\\% & 1-2 & 50\\% & 1-3 & 33\\% & 0 & 3 & 1 & 1 & 2 & 4 & G & Chicago \\\\\n\\hline\n Robin Lopez & 33 & 8 & 8 & 1 & 3-5 & 60\\% & 0-0 & 0\\% & 2-6 & 33\\% & 0 & 3 & 3 & 3 & 5 & 1 & C & Chicago \\\\\n\\hline\n Nikola Mirotic & 23 & 5 & 6 & 0 & 2-7 & 29\\% & 1-4 & 25\\% & 0-0 & 0\\% & 2 & 0 & 1 & 0 & 6 & 2 & N/A & Chicago \\\\\n\\hline\n Cristiano Felicio & 15 & 4 & 6 & 0 & 2-4 & 50\\% & 0-0 & 0\\% & 0-1 & 0\\% & 0 & 1 & 1 & 4 & 2 & 1 & N/A & Chicago \\\\\n\\hline\n Isaiah Canaan & 23 & 2 & 3 & 1 & 1-5 & 20\\% & 0-2 & 0\\% & 0-0 & 0\\% & 1 & 0 & 0 & 0 & 3 & 3 & N/A & Chicago \\\\\n\\hline\n Jerian Grant & 4 & 0 & 0 & 0 & 0-0 & 0\\% & 0-0 & 0\\% & 0-0 & 0\\% & 0 & 0 & 0 & 0 & 0 & 1 & N/A & Chicago \\\\\n\\hline\n RJ Hunter & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Chicago \\\\\n\\hline\n Denzel Valentine & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Chicago \\\\\n\\hline\n Bobby Portis & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Chicago \\\\\n\\hline\n Paul Zipser & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Chicago \\\\\n\\hline\n\\end{tabular}" + } + ] + }, + { + "id": "table_instructV_multi_round_20053", + "image": "table_instructV/images/TABMWP_31411.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| | Rectangle | Circle |\n| --- | --- | --- |\n| Spinach | 5 | 5 |\n| Cheese | 4 | 5 |" + }, + { + "from": "human", + "value": "Give you a table image, answer this question. Let's think step by step. Provide a concluding answer in a JSON structure, using the format {\"answer\": \"\"}.\nChef Huber baked her famous casseroles for a company holiday party. The casseroles had different shapes and different delicious fillings. What is the probability that a randomly selected casserole is filled with spinach and is shaped like a circle? Simplify any fractions." + }, + { + "from": "gpt", + "value": "Let A be the event \"the casserole is filled with spinach\" and B be the event \"the casserole is shaped like a circle\".\nTo find the probability that a casserole is filled with spinach and is shaped like a circle, first identify the sample space and the event.\nThe outcomes in the sample space are the different casseroles. Each casserole is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the casserole is filled with spinach and is shaped like a circle\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the casserole is filled with spinach and is shaped like a circle\", so look at the table to see how many casseroles are filled with spinach and are shaped like a circle.\nThe number of casseroles that are filled with spinach and are shaped like a circle is 5.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of casseroles.\n5 + 4 + 5 + 5 = 19\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{5}{19}\nThe probability that a casserole is filled with spinach and is shaped like a circle is \\frac{5}{19}.\n\nThus, the final answer is {\"answer\": \"5/19\"}." + }, + { + "from": "human", + "value": "For the cells in the 2nd column of this table, provide their contents. The cells in a column should be presented in the JSON format of {\"column_id\":\"\", \"cell_list\":\"\"}, e.g., {\"column_id\":\"3\", \"cell_list\": [\"xxx\", \"yyy\", \"zzz\"]}." + }, + { + "from": "gpt", + "value": "The target cell values of the 2nd column: {\"column_id\": \"2\", \"cell_list\": ['Rectangle', '5', '4']}" + } + ] + }, + { + "id": "table_instructV_multi_round_20201", + "image": "table_instructV/images/TABMWP_13448.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | Green | Yellow |\n| --- | --- | --- |\n| Small | 4 | 6 |\n| Medium | 2 | 3 |" + }, + { + "from": "human", + "value": "Problem: \nEvery afternoon, Erik enjoys a cup of hot tea in one of his many teacups. Once, Erik counted all the teacups in his collection, noting their colors and size. What is the probability that a randomly selected cup is small and green? Simplify any fractions.\n\nAnswer the above problem related to the table. The concluding answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nSolution:" + }, + { + "from": "gpt", + "value": "Let A be the event \"the cup is small\" and B be the event \"the cup is green\".\nTo find the probability that a cup is small and green, first identify the sample space and the event.\nThe outcomes in the sample space are the different cups. Each cup is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the cup is small and green\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the cup is small and green\", so look at the table to see how many cups are small and green.\nThe number of cups that are small and green is 4.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of cups.\n4 + 2 + 6 + 3 = 15\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{4}{15}\nThe probability that a cup is small and green is \\frac{4}{15}.\n\nSo, the answer is {\"answer\": \"4/15\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_20310", + "image": "table_instructV/images/ToTTo_train_table_3191.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Date | Type | Race | Location | Class | Driver |\n| --- | --- | --- | --- | --- | --- |\n| August 7, 1938 | 158 | Coppa Ciano | Livorno | Voiturette | Emilio Villoresi |\n| September 11, 1938 | 158 | Milan Grand Prix | Monza | Voiturette | Emilio Villoresi |\n| July 30, 1939 | 158 | Coppa Ciano | Livorno | Voiturette | Giuseppe Farina |\n| August 13, 1939 | 158 | Coppa Acerbo | Pescara | Voiturette | Clemente Biondetti |\n| August 20, 1939 | 158 | Swiss Grand Prix | Bremgarten | Voiturette | Giuseppe Farina |\n| May 12, 1940 | 158 | Tripoli Grand Prix | Libya | Voiturette | Giuseppe Farina |\n| July 21, 1946 | 158 | Grand Prix of Nations | Geneva | | Giuseppe Farina |\n| September 1, 1946 | 158 | Valentino Grand Prix | Turin, Valentino Park | non-Champ. F1 | Achille Varzi |\n| September 30, 1946 | 158 | Milan Grand Prix | Milan, Sempione Park | | Carlo Felice Trossi |\n| June 8, 1947 | 158 | Swiss Grand Prix | Bremgarten | | Jean-Pierre Wimille |\n| June 29, 1947 | 158 | European Grand Prix | Spa | | Jean-Pierre Wimille |\n| July 13, 1947 | 158 | Bari Grand Prix | Bari | | Achille Varzi |\n| September 7, 1947 | 158 | Italian Grand Prix | Milan, Sempione Park | | Carlo Felice Trossi |\n| July 4, 1948 | 158 | Swiss Grand Prix | Bremgarten | | Carlo Felice Trossi |\n| July 18, 1948 | 158 | French Grand Prix | Reims | | Jean-Pierre Wimille |\n| September 5, 1948 | 158 | Italian Grand Prix | Turin, Valentino Park | | Jean-Pierre Wimille |\n| October 17, 1948 | 158 | Autodrome Grand Prix | Monza | | Jean-Pierre Wimille |\n| April 16, 1950 | 158 | San Remo Grand Prix | Ospedaletti | | Juan Manuel Fangio |\n| May 13, 1950 | 158 | European Grand Prix | Silverstone | Formula One | Giuseppe Farina |\n| May 21, 1950 | 158 | Monaco Grand Prix | Monaco | Formula One | Juan Manuel Fangio |\n| June 4, 1950 | 158 | Swiss Grand Prix | Bremgarten | Formula One | Giuseppe Farina |\n| June 18, 1950 | 158 | Belgian Grand Prix | Spa | Formula One | Juan Manuel Fangio |\n| July 2, 1950 | 158 | French Grand Prix | Reims | Formula One | Juan Manuel Fangio |\n| July 9, 1950 | 158 | Bari Grand Prix | Bari | | Giuseppe Farina |\n| July 30, 1950 | 158 | Grand Prix of Nations | Geneva | | Juan Manuel Fangio |\n| August 15, 1950 | 158 | Coppa Acerbo | Pescara | | Juan Manuel Fangio |\n| August 26, 1950 | 158 | International Trophy | Silverstone | non-Champ. F1 | Giuseppe Farina |\n| September 3, 1950 | 158 | Italian Grand Prix | Monza | Formula One | Giuseppe Farina |\n| May 27, 1951 | 159 | Swiss Grand Prix | Bremgarten | Formula One | Juan Manuel Fangio |\n| June 2, 1951 | 159 | Ulster Trophy | Dundrod | | Giuseppe Farina |\n| June 17, 1951 | 159 | Belgian Grand Prix | Spa | Formula One | Giuseppe Farina |\n| July 1, 1951 | 159 | French Grand Prix | Reims | Formula One | Luigi Fagioli/Juan Manuel Fangio |\n| October 28, 1951 | 159 | Spanish Grand Prix | Pedralbes | Formula One | Juan Manuel Fangio |\n| September 2, 1951 | 159 | Bari Grand Prix | Bari | | Juan Manuel Fangio |\n| 1953 | 159 | Merano Grand Prix | Italy | | Juan Manuel Fangio |" + }, + { + "from": "human", + "value": "Examine the following Wikipedia table, which is titled 'Alfa Romeo 158/159 Alfetta' and its section is titled 'Race victories'. \nSome important table cells are highlighted with a different background color. Please create a single sentence that summarizes the highlighted table cells." + }, + { + "from": "gpt", + "value": "Alfa Romeo 158/159 Alfetta's last Grand Prix win came in 1953, at Merano Grand Prix, Italy." + } + ] + }, + { + "id": "table_instructV_multi_round_20400", + "image": "table_instructV/images/TabFact_2-1174877-18.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| number & name | description | current status | livery | date |\n| --- | --- | --- | --- | --- |\n| scottish tar distillers no 78 | rectangular tanker | static display in the museum | black | 1877 |\n| oakbank oil company no 13 | 10t tanker | static display in the museum | black | 1894 |\n| no a43 | shell bp tanker | static display in the museum | black | 1897 |\n| naval store no 161 | 14t tanker | static display in the museum | black | 1918 |\n| briggs , dundee no 20 | 14t tanker | operational | black | 1918 |\n| briggs no 17 | 14t tanker | stored | black | 1927 |\n| no 206 | 20t tanker | stored | silver dcl | 1930 |\n| no 241 | 20t tanker | stored | silver dcl | 1940 |\n| no 4 | 20t tanker | stored | bp chemicals | 1941 |\n| no 14 | 14t nitric acid tanker | static display in the museum | grey | 1941 |\n| no 252 | 20t tanker | stored | distiller 's co ltd silver | 1951 |\n| no 261 | 20t tanker | stored | british hydrocarbon chemicals silver | 1956 |\n| no bpo67496 | 45t tta tanker | stored | bp green | 1966 |" + }, + { + "from": "human", + "value": "In this task, you are given a table with its title 'bo'ness and kinneil railway', your goal is to distinguish whether this table upholds or challenges the statement. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nthe least used color on locomotives is black" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it challenges the statement. So, the answer is {\"answer\": \"challenges\"}." + }, + { + "from": "human", + "value": "Examine the table with the given title 'bo'ness and kinneil railway' and judge whether the hypothesis is upheld or challenged based on the table's content. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nmore locomotives are currently being stored or on display than operational" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the hypothesis. Hence, the answer is {\"answer\": \"upheld\"}." + }, + { + "from": "human", + "value": "Give you a table picture about 'bo'ness and kinneil railway', determine whether the following claim is affirmed or disproved by the table's content. The final result should be presented in the JSON format of {\"answer\": \"\"}.\n\nseven bo'ness and kinneil railway locomotives are currently being stored" + }, + { + "from": "gpt", + "value": "Based on the table information, the claim is true. Thus, the answer is {\"answer\": \"affirmed\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title 'bo'ness and kinneil railway', and determine whether the given hypothesis is affirmed or disproved by the table information. Show your final answer in the JSON format {\"answer\": \"\"}.\nhypothesis: most of the locomotives are operational" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the hypothesis is false. So, the answer is {\"answer\": \"disproved\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_20462", + "image": "table_instructV/images/Rotowire_train_table_440.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pistons | Detroit | 92 | 17 | 28 | 20 | 27 | 18 | 39 | 12 | 41 | 77 | 27 | 37 | 34 | | | | |\n| Bucks | Milwaukee | 91 | 30 | 18 | 26 | 17 | 23 | 40 | 13 | 54 | 57 | 56 | 30 | 41 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pistons | | | | | | | | | | | | | | | | | | |\n| Marcus Morris | 37 | 21 | 3 | 4 | 8-9 | 89% | 4-4 | 100% | 1-3 | 33% | 1 | 1 | 1 | 0 | 3 | 1 | F | Detroit |\n| Kentavious Caldwell-Pope | 38 | 15 | 3 | 3 | 6-18 | 33% | 2-11 | 18% | 1-2 | 50% | 1 | 1 | 0 | 2 | 1 | 0 | G | Detroit |\n| Andre Drummond | 33 | 14 | 16 | 0 | 7-16 | 44% | 0-0 | 0% | 0-1 | 0% | 1 | 0 | 0 | 6 | 10 | 0 | C | Detroit |\n| Tobias Harris | 37 | 13 | 6 | 2 | 4-12 | 33% | 0-2 | 0% | 5-5 | 100% | 0 | 0 | 0 | 2 | 4 | 2 | F | Detroit |\n| Anthony Tolliver | 16 | 11 | 1 | 0 | 4-9 | 44% | 3-8 | 38% | 0-0 | 0% | 0 | 1 | 1 | 0 | 1 | 4 | N/A | Detroit |\n| Reggie Jackson | 28 | 9 | 5 | 5 | 3-8 | 38% | 0-4 | 0% | 3-3 | 100% | 1 | 3 | 0 | 0 | 5 | 2 | G | Detroit |\n| Stanley Johnson | 16 | 4 | 0 | 0 | 1-6 | 17% | 0-2 | 0% | 2-2 | 100% | 2 | 5 | 0 | 0 | 0 | 4 | N/A | Detroit |\n| Steve Blake | 20 | 3 | 0 | 4 | 1-3 | 33% | 0-2 | 0% | 1-1 | 100% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Detroit |\n| Aron Baynes | 15 | 2 | 5 | 0 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 0 | 5 | 0 | N/A | Detroit |\n| Reggie Bullock | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Darrun Hilliard | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Joel Anthony | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Lorenzo Brown | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Bucks | | | | | | | | | | | | | | | | | | |\n| Khris Middleton | 32 | 27 | 1 | 4 | 11-16 | 69% | 2-3 | 67% | 3-3 | 100% | 1 | 3 | 0 | 0 | 1 | 5 | G | Milwaukee |\n| Giannis Antetokounmpo | 37 | 21 | 12 | 5 | 10-17 | 59% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 2 | 1 | 11 | 1 | F | Milwaukee |\n| Greg Monroe | 34 | 18 | 10 | 1 | 9-15 | 60% | 0-0 | 0% | 0-0 | 0% | 2 | 2 | 2 | 2 | 8 | 1 | C | Milwaukee |\n| Jabari Parker | 35 | 5 | 6 | 2 | 2-7 | 29% | 1-1 | 100% | 0-0 | 0% | 0 | 2 | 2 | 2 | 4 | 4 | F | Milwaukee |\n| Jerryd Bayless | 37 | 5 | 3 | 6 | 2-5 | 40% | 1-1 | 100% | 0-2 | 0% | 0 | 1 | 0 | 0 | 3 | 1 | G | Milwaukee |\n| Tyler Ennis | 11 | 4 | 1 | 1 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 2 | N/A | Milwaukee |\n| Miles Plumlee | 14 | 4 | 2 | 0 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 2 | N/A | Milwaukee |\n| John Henson | 14 | 3 | 1 | 3 | 1-2 | 50% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 1 | 0 | 1 | 2 | N/A | Milwaukee |\n| Damien Inglis | 13 | 2 | 3 | 1 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 1 | N/A | Milwaukee |\n| Jared Cunningham | 14 | 2 | 1 | 0 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 1 | 2 | 0 | 0 | 1 | 1 | N/A | Milwaukee |\n| Steve Novak | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Michael Carter-Williams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Johnny O'Bryant III | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |" + }, + { + "from": "human", + "value": "This picture contains data records of an NBA game between Pistons and Bucks. The game date is 03/21/2016. Based on the given data, generate a comprehensive summary for this game." + }, + { + "from": "gpt", + "value": "The Detroit Pistons (37-34) defeated the Milwaukee Bucks (30-41) 92-91 in a thriller on Monday. With two teams battling for their playoff lives, everything was left on the floor. What ultimately decided the game was a game-winning tip in at the buzzer by Andre Drummond. The shooting numbers would indicate a Milwaukee blowout, but that simply wasn’t the case. The Bucks shot 54 percent from the field and 50 percent from three-point range, while the Pistons shot 41 percent from the field and 27 percent from long distance. Detroit really buckled down in the fourth quarter though, as they held the Bucks to 17 points, while scoring 27 of their own. Milwaukee had some slim hopes for playoff chances, but this win very well may have ended those. The bench really let them down, as no player scored more than four points. Khris Middleton led the team with 27 points and hit some huge baskets late. Giannis Antetokonmpo continued his good form, as he tallied 21 points, 12 rebounds and five assists. Greg Monroe double-doubled in a revenge game, as he totaled 18 points and 10 rebounds. On deck for Milwaukee is a matchup with the Cleveland Cavaliers on Wednesday. Detroit was tied for the eight-seed headed into this game, so to say this was a much needed win would be a drastic understatement. Drummond was the hero, as he had the game-winning tip in, but also finished with 14 points and 16 rebounds. Marcus Morris led the team with 21 points and also provided three rebounds and four assists. Detroit will look to build on this win Wednesday against the Orlando Magic in their next matchup." + } + ] + }, + { + "id": "table_instructV_multi_round_20578", + "image": "table_instructV/images/TABMWP_31617.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Number of apartments | Number of windows |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | ? |" + }, + { + "from": "human", + "value": "Solve the math problem below using the information from the table. Detail each step. Present the final answer in a JSON format, outlined as {\"answer\": \"\"}.\n\nEach apartment has 5 windows. How many windows are in 3 apartments?" + }, + { + "from": "gpt", + "value": "Count by fives. Use the chart: there are 15 windows in 3 apartments.\n\nSo, the answer is {\"answer\": \"15\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_20596", + "image": "table_instructV/images/Rotowire_train_table_2026.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nets | Brooklyn | 98 | 29 | 28 | 16 | 25 | 24 | 32 | 16 | 51 | 74 | 50 | 12 | 34 | | | | |\n| Heat | Miami | 102 | 24 | 27 | 26 | 25 | 27 | 37 | 12 | 54 | 90 | 33 | 25 | 21 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Nets | | | | | | | | | | | | | | | | | | |\n| Andrea Bargnani | 24 | 20 | 1 | 1 | 9-12 | 75% | 0-0 | 0% | 2-3 | 67% | 0 | 0 | 1 | 0 | 1 | 1 | N/A | Brooklyn |\n| Joe Johnson | 37 | 15 | 4 | 8 | 5-8 | 63% | 2-4 | 50% | 3-3 | 100% | 0 | 5 | 0 | 0 | 4 | 0 | F | Brooklyn |\n| Brook Lopez | 31 | 13 | 10 | 1 | 5-9 | 56% | 0-0 | 0% | 3-4 | 75% | 0 | 3 | 1 | 1 | 9 | 2 | C | Brooklyn |\n| Thaddeus Young | 32 | 12 | 5 | 0 | 6-11 | 55% | 0-0 | 0% | 0-2 | 0% | 1 | 1 | 0 | 0 | 5 | 5 | F | Brooklyn |\n| Bojan Bogdanovic | 23 | 11 | 2 | 1 | 3-8 | 38% | 3-6 | 50% | 2-2 | 100% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Brooklyn |\n| Donald Sloan | 23 | 10 | 2 | 2 | 4-8 | 50% | 2-3 | 67% | 0-0 | 0% | 0 | 3 | 0 | 0 | 2 | 2 | G | Brooklyn |\n| Wayne Ellington | 30 | 8 | 1 | 2 | 2-7 | 29% | 2-4 | 50% | 2-2 | 100% | 2 | 0 | 0 | 0 | 1 | 2 | G | Brooklyn |\n| Shane Larkin | 25 | 7 | 3 | 6 | 1-5 | 20% | 0-1 | 0% | 5-5 | 100% | 2 | 3 | 0 | 0 | 3 | 1 | N/A | Brooklyn |\n| Willie Reed | 3 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Brooklyn |\n| Sergey Karasev | 6 | 0 | 1 | 3 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Brooklyn |\n| Thomas Robinson | 5 | 0 | 3 | 0 | 0-1 | 0% | 0-0 | 0% | 0-2 | 0% | 0 | 1 | 0 | 2 | 1 | 2 | N/A | Brooklyn |\n| Markel Brown | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Chris Bosh | 32 | 27 | 5 | 4 | 12-18 | 67% | 1-4 | 25% | 2-3 | 67% | 0 | 4 | 0 | 0 | 5 | 3 | F | Miami |\n| Dwyane Wade | 32 | 27 | 4 | 8 | 11-22 | 50% | 0-0 | 0% | 5-5 | 100% | 3 | 3 | 2 | 1 | 3 | 1 | G | Miami |\n| Justise Winslow | 37 | 13 | 7 | 2 | 6-7 | 86% | 1-1 | 100% | 0-0 | 0% | 2 | 1 | 0 | 1 | 6 | 4 | N/A | Miami |\n| Luol Deng | 31 | 10 | 2 | 4 | 4-10 | 40% | 0-2 | 0% | 2-2 | 100% | 2 | 1 | 1 | 1 | 1 | 1 | F | Miami |\n| Beno Udrih | 30 | 9 | 5 | 4 | 4-6 | 67% | 1-1 | 100% | 0-0 | 0% | 1 | 0 | 0 | 0 | 5 | 1 | G | Miami |\n| Gerald Green | 16 | 6 | 0 | 2 | 3-6 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 2 | N/A | Miami |\n| Amar'e Stoudemire | 22 | 4 | 7 | 1 | 2-7 | 29% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 1 | 6 | 1 | C | Miami |\n| Tyler Johnson | 18 | 4 | 2 | 2 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 2 | 4 | N/A | Miami |\n| Udonis Haslem | 22 | 2 | 5 | 0 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 4 | 3 | N/A | Miami |\n| Goran Dragic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Jarnell Stokes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Josh Richardson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |" + }, + { + "from": "human", + "value": "This picture shows data records of an NBA game on 01/26/2016. Utilizing these data to output a detailed game summary." + }, + { + "from": "gpt", + "value": "After a grueling back-and-forth battle, the visitng Miami Heat (25-21) came away with a 102-98 win over the Brooklyn Nets (12-34) on Tuesday. It was a veteran effort that put Miami over the edge, with All-Stars Dwyane Wade and Chris Bosh leading the Heat with 27 points apiece. The 34-year-old Wade was named a starter for the Eastern Conference in the All-Star Game last week ; it will be the star 's 12th All-Star appearance. Wade played like a star on Tuesday, tacking on eight assists and three steals to his impressive scoring total. Rookie Justise Winslow, meanwhile, came off the bench to offer a season-high 13 points in Brooklyn. Winslow has garnered attention for his impressive perimeter defense this season, and on Tuesday he added a stellar scoring touch to his repertoire. Perhaps Miami 's biggest advantage came in the lane, as the Heat edged out their opponents 37-32 on the glass and held a 50-28 advantage in terms of points in the paint. Many of Brooklyn 's big-man minutes were filled by jump-shooter Andrea Bargnani, a factor that may have contributed to Miami 's dominance of the low post. For Brooklyn, meanwhile, the narrow loss comes riding on the tails of a shocking upset of the Oklahoma City Thunder. The home win on Sunday helped Brooklyn snap a six-game losing streak. Unfortunately for the Nets, they were unable to continue the winning against Miami, as they allowed their opponents to convert on 54 percent of shot attempts. Despite the loss, Brooklyn saw a double-double from star center Brook Lopez and a 15-point, eight-assist outing from veteran Joe Johnson. Brooklyn will next take the court on Friday in Dallas. The Heat will also have two days of rest before taking to the road against Milwaukee on Friday." + } + ] + }, + { + "id": "table_instructV_multi_round_20608", + "image": "table_instructV/images/Rotowire_train_table_638.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nuggets | Denver | 117 | 31 | 28 | 27 | 31 | 24 | 41 | 10 | 52 | 80 | 46 | 5 | 7 | | | | |\n| Pelicans | New Orleans | 97 | 26 | 23 | 24 | 24 | 19 | 40 | 12 | 40 | 88 | 31 | 6 | 5 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Nuggets | | | | | | | | | | | | | | | | | | |\n| Kenneth Faried | 27 | 19 | 8 | 2 | 7-12 | 58% | 1-1 | 100% | 4-5 | 80% | 1 | 1 | 0 | 3 | 5 | 2 | F | Denver |\n| Arron Afflalo | 29 | 19 | 2 | 1 | 7-13 | 54% | 1-3 | 33% | 4-4 | 100% | 1 | 1 | 0 | 0 | 2 | 1 | G | Denver |\n| Wilson Chandler | 32 | 18 | 5 | 1 | 7-11 | 64% | 3-4 | 75% | 1-1 | 100% | 1 | 1 | 2 | 0 | 5 | 1 | F | Denver |\n| Danilo Gallinari | 23 | 17 | 3 | 3 | 5-7 | 71% | 3-4 | 75% | 4-4 | 100% | 1 | 0 | 1 | 0 | 3 | 3 | N/A | Denver |\n| JaVale McGee | 19 | 14 | 8 | 0 | 6-6 | 100% | 0-0 | 0% | 2-3 | 67% | 1 | 2 | 2 | 2 | 6 | 2 | N/A | Denver |\n| Ty Lawson | 28 | 11 | 3 | 9 | 5-12 | 42% | 1-2 | 50% | 0-2 | 0% | 2 | 2 | 0 | 0 | 3 | 0 | G | Denver |\n| Randy Foye | 21 | 7 | 3 | 4 | 1-5 | 20% | 1-5 | 20% | 4-4 | 100% | 1 | 1 | 0 | 0 | 3 | 1 | N/A | Denver |\n| Timofey Mozgov | 26 | 5 | 4 | 0 | 2-4 | 50% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 3 | 2 | 2 | 4 | C | Denver |\n| Nate Robinson | 20 | 3 | 3 | 4 | 1-6 | 17% | 1-4 | 25% | 0-0 | 0% | 0 | 1 | 1 | 1 | 2 | 4 | N/A | Denver |\n| Alonzo Gee | 4 | 2 | 0 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Denver |\n| Darrell Arthur | 9 | 2 | 1 | 0 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 4 | N/A | Denver |\n| Jusuf Nurkic | 4 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 1 | 2 | N/A | Denver |\n| JJ Hickson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Pelicans | | | | | | | | | | | | | | | | | | |\n| Anthony Davis | 32 | 18 | 9 | 2 | 7-17 | 41% | 0-1 | 0% | 4-4 | 100% | 1 | 4 | 2 | 1 | 8 | 3 | F | New Orleans |\n| Eric Gordon | 30 | 13 | 4 | 3 | 5-12 | 42% | 3-5 | 60% | 0-0 | 0% | 2 | 0 | 0 | 0 | 4 | 2 | G | New Orleans |\n| Alexis Ajinca | 21 | 12 | 8 | 1 | 3-4 | 75% | 0-0 | 0% | 6-6 | 100% | 0 | 1 | 0 | 3 | 5 | 1 | C | New Orleans |\n| Jrue Holiday | 29 | 12 | 3 | 6 | 4-8 | 50% | 1-2 | 50% | 3-3 | 100% | 0 | 0 | 1 | 1 | 2 | 3 | G | New Orleans |\n| Tyreke Evans | 32 | 10 | 2 | 2 | 5-10 | 50% | 0-2 | 0% | 0-0 | 0% | 1 | 3 | 0 | 0 | 2 | 2 | F | New Orleans |\n| Ryan Anderson | 27 | 10 | 3 | 0 | 2-11 | 18% | 0-5 | 0% | 6-7 | 86% | 1 | 1 | 0 | 0 | 3 | 3 | N/A | New Orleans |\n| Jeff Withey | 16 | 9 | 6 | 1 | 2-5 | 40% | 0-0 | 0% | 5-6 | 83% | 0 | 1 | 0 | 2 | 4 | 1 | N/A | New Orleans |\n| Austin Rivers | 21 | 8 | 1 | 2 | 1-6 | 17% | 0-0 | 0% | 6-8 | 75% | 1 | 1 | 0 | 0 | 1 | 2 | N/A | New Orleans |\n| John Salmons | 11 | 5 | 2 | 0 | 2-2 | 100% | 1-1 | 100% | 0-0 | 0% | 1 | 0 | 0 | 1 | 1 | 5 | N/A | New Orleans |\n| Luke Babbitt | 17 | 0 | 1 | 2 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | New Orleans |\n| Darius Miller | 4 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | New Orleans |\n| Omer Asik | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| Jimmer Fredette | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |" + }, + { + "from": "human", + "value": "Based on the shown data records of an NBA game which took place on 2014-11-21 between Nuggets and Pelicans, craft a detailed narrative that encapsulates the game's highlights and overall performance." + }, + { + "from": "gpt", + "value": "The Denver Nuggets (5-7) defeated the New Orleans Pelicans (6-5) 117-97 on Friday. Denver started off the season jittery as a June bug, losing six of their first seven games, but over their last five games, they 've stolen four wins. It 's hard to get a read on where the team is headed, but the narrative right now has at least a glimmer of hope for their prospects going forward. Kenneth Faried paced the Nuggets, finishing with 19 points and eight rebounds in 27 minutes. Denver will go on the road to face the Los Angeles Lakers on Sunday. New Orleans has had a tough schedule to start the season, so the fact they 're still able to breathe above the .500 mark is impressive. They had six players finish in double-digits, but the team shot just 40 percent from the field, making it hard to secure the win. The Pelicans have one more game left on their current four-game road trip. They 'll travel to Utah to take on the Jazz on Saturday." + } + ] + }, + { + "id": "table_instructV_multi_round_20682", + "image": "table_instructV/images/ToTTo_train_table_7796.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Player | Country | Year(s) won | R1 | R2 | R3 | R4 | Total | To par | Finish |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ben Hogan | United States | 1948 | 72 | 69 | 72 | 74 | 287 | +7 | 1 |\n| Lloyd Mangrum | United States | 1946 | 72 | 70 | 69 | 76 | 287 | +7 | 2 |\n| Cary Middlecoff | United States | 1949 | 71 | 71 | 71 | 79 | 292 | +12 | T10 |\n| Gene Sarazen | United States | 1922, 1932 | 72 | 72 | 82 | 76 | 302 | +22 | T38 |" + }, + { + "from": "human", + "value": "Analyzing this Wikipedia table titled '1950 U.S. Open (golf)'. It is extracted from a section titled 'Made the cut'. The section text is: Source:\nUse this table and its associated metadata to craft a sentence that describes the highlighted cells." + }, + { + "from": "gpt", + "value": "In the 1950 U.S. Open, Mangrum made 287." + } + ] + }, + { + "id": "table_instructV_multi_round_20686", + "image": "table_instructV/images/ToTTo_train_table_7048.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| 9 July 2011 | APIA | 0 – 3 | Rockdale | Lambert Park | |\n| --- | --- | --- | --- | --- | --- |\n| Saturday, 3:00pm EST | Naidovski 3' Spitz 43' Tirovski 87' | Report - Football NSW Article | | Referee: Kevin Peddie | |" + }, + { + "from": "human", + "value": "Give you a Wikipedia table titled '2011 NSW Premier League season'. Its section title is 'Week 12'. \nBased on the table and above metadata, generate a one-sentence description about highlighted table cells." + }, + { + "from": "gpt", + "value": "The APIA v Rockdale game was scheduled on 9 July 2011." + } + ] + }, + { + "id": "table_instructV_multi_round_20775", + "image": "table_instructV/images/ToTTo_train_table_29489.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Song | Artist(s) | Writer(s) | Original release | Year | Ref. |\n| --- | --- | --- | --- | --- | --- |\n| \"3am\" | Meghan Trainor | Meghan Trainor Chris Gelbuda Ben Fagan Todd Carey Karen Thornton | Title | 2015 | |\n| \"After You\" | Meghan Trainor | Meghan Trainor Tyler Johnson Anders Mouridsen | The Love Train | 2019 | |\n| \"All About That Bass\" | Meghan Trainor | Meghan Trainor Kevin Kadish | Title | 2015 | |\n| \"All the Ways\" | Meghan Trainor | Meghan Trainor Andrew Wells Jacob Kasher Hindlin | The Love Train | 2018 | |\n| \"Baby, It's Cold Outside\" | Brett Eldredge featuring Meghan Trainor | Frank Loesser | Glow | 2016 | |\n| \"Back to My Home\" | Meghan Trainor featuring Matthew Migliozzi | Meghan Trainor Matthew Migliozzini | I'll Sing with You | 2011 | |\n| \"Bang Dem Sticks\" | Meghan Trainor | Meghan Trainor James G. Morales Matthew Morales Julio David Rodriguez | Title | 2015 | |\n| \"The Best Part (Interlude)\" | Meghan Trainor | Meghan Trainor | Title | 2015 | |\n| \"Better\" | Meghan Trainor featuring Yo Gotti | Meghan Trainor Eric Frederic Tommy Brown Steven Franks Mario Mims Taylor Parks Travis Sayles | Thank You | 2016 | |\n| \"Better When I'm Dancin'\" | Meghan Trainor | Meghan Trainor Thaddeus Dixon | The Peanuts Movie | 2015 | |\n| \"Boys Like You\" | Who Is Fancy featuring Meghan Trainor and Ariana Grande | Jake Hagood Jonathan Rotem Jason Gantt Bob DiPiero | Non-album single | 2015 | |\n| \"Brave Honest Beautiful\" | Fifth Harmony featuring Meghan Trainor | Meghan Trainor Beyoncé Knowles Kelendria Rowland Rob Fusari Falonte Moore Stephanie Lynn Nicks | Reflection | 2015 | |\n| \"Broken Puzzle\" | Meghan Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"Can't Dance\" | Meghan Trainor | Meghan Trainor Andrew Wells Jacob Kasher Hindlin | Non-album single | 2018 | |\n| \"Can't Help Falling in Love\" (cover) | Meghan Trainor | Hugo Peretti Luigi Creatore George David Weiss | Spotify Sessions | 2015 | |\n| \"Champagne Problems\" | Meghan Trainor | Meghan Trainor Tommy Brown Nick Audino Lewis Hughes Khaled Rohaim Michael Foster Ryan Matthew Tedder | Thank You | 2016 | |\n| \"Close Your Eyes\" | Meghan Trainor | Meghan Trainor Kevin Kadish | Title | 2015 | |\n| \"Credit\" | Meghan Trainor | Meghan Trainor Kevin Kadish | Title | 2015 | |\n| \"Cupid\" | Meghan Trainor featuring Gary Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"Dad\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Dance like Yo Daddy\" | Meghan Trainor | Meghan Trainor Eric Frederic Kevin Kadish | Thank You | 2016 | |\n| \"Dear Future Husband\" | Meghan Trainor | Meghan Trainor Kevin Kadish | Title | 2015 | |\n| \"Don't Fall Tonight\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Don't Let Me Down\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Don't Stop\" (cover) | Meghan Trainor | Steve Robson busbee Luke Hemmings Calum Hood | Spotify Sessions | 2015 | |\n| \"Falling\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Foolish\" | Meghan Trainor | Meghan Trainor Andrew Wells Gamal Lewis Jacob Kasher Hindlin | The Love Train | 2019 | |\n| \"Forgive Me Father\" | DJ Khaled featuring Meghan Trainor, Wiz Khalifa and Wale | DJ Khaled Travis Sayles Michael Foster Thomas Brown Meghan Trainor Wiz Khalifa Olubowale Akintimehin | Major Key | 2016 | |\n| \"Free to Fly\" | Meghan Trainor featuring Mike Viprino | Meghan Trainor | I'll Sing with You | 2011 | |\n| \"Friends\" | Meghan Trainor | Meghan Trainor Eric Frederic Tommy Brown Steven Franks Michael Foster Ryan Matthew Tedder Bianca Atterberry | Thank You | 2016 | |\n| \"Good Mornin'\" | Meghan Trainor featuring Gary Trainor | Meghan Trainor Andrew Wells Daryl Sabara | The Love Train | 2019 | |\n| \"Good to Be Alive\" | Meghan Trainor | Meghan Trainor Ryan Trainor | The Peanuts Movie | 2015 | |\n| \"Goosebumps\" | Meghan Trainor | Meghan Trainor Eric Frederic Gamal Lewis Eric Tobias Wincorn Joe Spargur Robert Riley Charles White Billy Ball | Thank You | 2016 | |\n| \"Hands\" | Among Artists for Orlando | Justin Tranter Julia Michaels BloodPop | Non-album single | 2016 | |\n| \"Hey DJ\" | CNCO, Meghan Trainor and Sean Paul | Meghan Trainor Sean Paul Henriques Édgar Barrera Chris Wallace Edgardo Miranda Matt Radosevich Sofi de la Torre | Non-album single | 2018 | |\n| \"Hey Mr.\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Hold on to the Ones You Love\" | Meghan Trainor | Meghan Trainor | I'll Sing with You | 2011 | |\n| \"Hopeless Romantic\" | Meghan Trainor | Meghan Trainor Johan Carlsson Ross Golan | Thank You | 2016 | |\n| \"I Love Me\" | Meghan Trainor featuring LunchMoney Lewis | Meghan Trainor Eric Frederic Jacob Kasher Hindlin Gamal Lewis Thomas Troelsen | Thank You | 2016 | |\n| \"I Won't Let You Down\" | Meghan Trainor | Meghan Trainor Eric Frederic Jacob Kasher Hindlin Gamal Lewis | Thank You | 2016 | |\n| \"I'll Be Home\" | Meghan Trainor | Meghan Trainor | I'll Be Home for Christmas | 2014 | |\n| \"I'll Sing with You\" | Meghan Trainor | Meghan Trainor | I'll Sing with You | 2011 | |\n| \"I'll Wake Up for You\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"I'm a Lady\" | Meghan Trainor | Meghan Trainor Martin René | Smurfs: The Lost Village | 2017 | |\n| \"I'm Down\" | Meghan Trainor | Meghan Trainor Andrew Wells Tyler Johnson Joshua Kear | The Love Train | 2019 | |\n| \"Just a Friend to You\" | Meghan Trainor | Meghan Trainor Eric Frederic Chris Gelbuda | Thank You | 2016 | |\n| \"Just Got Paid\" | Sigala, Ella Eyre and Meghan Trainor featuring French Montana | Bruce Fielder Ella McMahon Steve Manovski Karim Kharbouch Nile Rodgers Jason Pebworth | Brighter Days | 2018 | |\n| \"Kindly Calm Me Down\" | Meghan Trainor | Meghan Trainor Eric Frederic James G. Morales Matthew Morales Julio David Rodriguez | Thank You | 2016 | |\n| \"Learning to Say I Love You\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Leave a Kiss\" | Meghan Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"Let You Be Right\" | Meghan Trainor | Meghan Trainor Andrew Wells Jacob Kasher Hindlin | Non-album single | 2018 | |\n| \"Like I'm Gonna Lose You\" | Meghan Trainor featuring John Legend | Meghan Trainor Justin Weaver Caitlyn Smith | Title | 2015 | |\n| \"Lips Are Movin\" | Meghan Trainor | Meghan Trainor Kevin Kadish | Title | 2015 | |\n| \"Locked In Love\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Love Me More\" | Meghan Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"Love, Love, Love\" | Meghan Trainor | Meghan Trainor | I'll Sing with You | 2011 | |\n| \"Marry Me\" | Meghan Trainor | Meghan Trainor | The Love Train | 2019 | |\n| \"Marvin Gaye\" | Charlie Puth featuring Meghan Trainor | Charlie Puth Julie Frost Jacob Luttrell Nick Seeley | Some Type of Love and Nine Track Mind | 2015 | |\n| \"Me Too\" | Meghan Trainor | Meghan Trainor Eric Frederic Jacob Kasher Hindlin Jason Desrouleaux Peter Svensson | Thank You | 2016 | |\n| \"Mom\" | Meghan Trainor featuring Kelli Trainor | Meghan Trainor Johan Carlsson Ross Golan Justin Trainor | Thank You | 2016 | |\n| \"More than Friends\" | Jason Mraz featuring Meghan Trainor | Jason Mraz Meghan Trainor Jonathan Green Andrew Wells | Know. | 2018 | |\n| \"Mr. Almost\" | Meghan Trainor featuring Shy Carter | Meghan Trainor Jesse Frasure Shy Carter | Title | 2015 | |\n| \"My Selfish Heart\" | Meghan Trainor | Meghan Trainor | Title | 2015 | |\n| \"Never Ever\" | Meghan Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"No\" | Meghan Trainor | Meghan Trainor Eric Frederic Jacob Kasher Hindlin | Thank You | 2016 | |\n| \"No Excuses\" | Meghan Trainor | Meghan Trainor Andrew Wells Jacob Kasher Hindlin | Non-album single | 2018 | |\n| \"No Good for You\" | Meghan Trainor | Meghan Trainor Brett James | Title | 2015 | |\n| \"No Matter What You Do\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Normal\" (cover) | Meghan Trainor | Sasha Sloan | Spotify Singles | 2018 | |\n| \"One Chance\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Out the Door\" | Meghan Trainor | Meghan Trainor | I'll Sing with You | 2011 | |\n| \"Overdrive\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Painkiller\" | Jason Derulo featuring Meghan Trainor | Jason Desrouleaux Johan Carlsson Ross Golan Meghan Trainor | Everything is 4 | 2015 | |\n| \"Pick Me Up\" | Meghan Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"Quite the Adventure\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Remember\" | Meghan Trainor | Meghan Trainor | I'll Sing with You | 2011 | |\n| \"See You Smile\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Shoowap Shoowah\" | Meghan Trainor featuring Gary Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"Simple Love\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Single\" | Meghan Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"Someday\" | Michael Bublé featuring Meghan Trainor | Meghan Trainor Harry Styles | Nobody but Me | 2016 | |\n| \"Something to Believe In\" | Meghan Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"Stay with Me\" (cover) | Meghan Trainor | Sam Smith James Napier William Phillips Tom Petty Jeff Lynne | Spotify Sessions | 2015 | |\n| \"Sweet, Sweetie Pie\" | Meghan Trainor | Meghan Trainor | I'll Sing with You | 2011 | |\n| \"Take Care of Our Soldiers\" | Meghan Trainor | Meghan Trainor | I'll Sing with You | 2010 | |\n| \"Take These Tears\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Thank You\" | Meghan Trainor featuring R. City | Meghan Trainor Stefan Johnson Jordan Johnson Marcus Lomax Theron Thomas Timothy Thomas Oliver Peterhof Jordan Federman | Thank You | 2016 | |\n| \"This Love\" | Meghan Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"Throwback Love\" | Meghan Trainor | Meghan Trainor Kevin Kadish | Thank You | 2016 | |\n| \"Title\" | Meghan Trainor | Meghan Trainor Kevin Kadish | Title | 2015 | |\n| \"Treat Myself\" | Meghan Trainor | Meghan Trainor Andrew Wells Tobias Jesso Jr. Ryan Trainor | Non-album single | 2018 | |\n| \"Tumble\" | Meghan Trainor featuring Gary Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"Walkashame\" | Meghan Trainor | Meghan Trainor Kevin Kadish | Title | 2015 | |\n| \"Want Me to Stay\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"Watch Me Do\" | Meghan Trainor | Meghan Trainor Eric Frederic Jacob Kasher Hindlin Gamal Lewis | Thank You | 2016 | |\n| \"Waterfalls\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |\n| \"What If I\" | Meghan Trainor | Meghan Trainor Kevin Kadish | Title | 2015 | |\n| \"When Did You Fall?\" | Meghan Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"Whisper\" | Meghan Trainor | Meghan Trainor | I'll Sing with You | 2011 | |\n| \"White Christmas\" (cover) | Meghan Trainor | Irving Berlin | Non-album single | 2018 | |\n| \"Who I Wanna Be\" | Meghan Trainor | Meghan Trainor Jesse Frasure Cedric Lindsey James Small | Non-album single | 2012 | |\n| \"Why'd You Have to Go?\" | Meghan Trainor | Meghan Trainor | I'll Sing with You | 2011 | |\n| \"Window\" | Meghan Trainor | Meghan Trainor | Only 17 | 2011 | |\n| \"Woman Up\" | Meghan Trainor | Meghan Trainor Eric Frederic James G. Morales Matthew Morales Julio David Rodriguez Taylor Parks Nash Overstreet Erika Nuri Shane Stevens | Thank You | 2016 | |\n| \"You Got the Best of Me\" | Meghan Trainor | Meghan Trainor | Meghan Trainor | 2009 | |" + }, + { + "from": "human", + "value": "Analyzing this Wikipedia table titled 'List of songs recorded by Meghan Trainor'. It is extracted from a section titled 'Songs'.\nBased on the table information, craft a sentence that describes the highlighted cells." + }, + { + "from": "gpt", + "value": "Meghan Trainor's album Title, released in 2015, included the singles: \"All About That Bass\", \"Lips Are Movin\", \"Dear Future Husband\" and \"Like I'm Gonna Lose You\"." + } + ] + }, + { + "id": "table_instructV_multi_round_20809", + "image": "table_instructV/images/TABMWP_12724.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Number of shelves | Number of boxes |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | ? |" + }, + { + "from": "human", + "value": "Look at the table and break down the following math word problem, step by step. Conclude your response with a final answer in the JSON format {\"answer\": \"\"}.\nEach shelf has 2 boxes. How many boxes are on 5 shelves?" + }, + { + "from": "gpt", + "value": "Count by twos. Use the chart: there are 10 boxes on 5 shelves.\n\nTherefore, the final answer is {\"answer\": \"10\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_20813", + "image": "table_instructV/images/TabFact_1-11603267-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| date | tournament | location | purse | winner | score | 1st prize |\n| --- | --- | --- | --- | --- | --- | --- |\n| jan 21 | mastercard championship | hawaii | 1400000 | larry nelson (12) | 197 ( - 19) | 240000 |\n| feb 4 | royal caribbean classic | florida | 1400000 | larry nelson (13) | 29 ( stableford ) | 210000 |\n| feb 11 | ace group classic | florida | 1400000 | gil morgan (19) | 204 ( - 12) | 210000 |\n| feb 18 | verizon classic | florida | 1400000 | bob gilder (1) | 205 ( - 8) | 210000 |\n| feb 25 | mexico senior classic | mexico | 1500000 | mike mccullough (1) | 204 ( - 12) | 225000 |\n| mar 4 | toshiba senior classic | california | 1400000 | josé maria cañizares (1) | 202 ( - 11) | 210000 |\n| mar 11 | sbc senior classic | california | 1400000 | jim colbert (20) | 204 ( - 12) | 210000 |\n| mar 18 | siebel classic in silicon valley | california | 1400000 | hale irwin (30) | 206 ( - 10) | 210000 |\n| mar 25 | emerald coast classic | florida | 1400000 | mike mccullough (2) | 200 ( - 10) | 210000 |\n| apr 15 | the countrywide tradition | arizona | 1700000 | doug tewell (4) | 265 ( - 23) | 255000 |\n| apr 22 | las vegas senior classic | nevada | 1400000 | bruce fleisher (12) | 208 ( - 8) | 210000 |\n| apr 29 | bruno 's memorial classic | alabama | 1400000 | hale irwin (31) | 195 ( - 21) | 210000 |\n| may 6 | the home depot invitational | north carolina | 1300000 | bruce fleisher (13) | 201 ( - 15) | 195000 |\n| may 13 | enterprise rent - a - car match play championship | missouri | 2000000 | leonard thompson (3) | 1 up | 300000 |\n| may 20 | td waterhouse championship | missouri | 1500000 | ed dougherty (2) | 194 ( - 22) | 225000 |\n| may 27 | senior pga championship | new jersey | 2000000 | tom watson (3) | 274 ( - 14) | 360000 |\n| jun 3 | bellsouth senior classic at opryland | tennessee | 1600000 | sammy rachels (1) | 199 ( - 17) | 240000 |\n| jun 10 | nfl golf classic | new jersey | 1200000 | john schroeder (1) | 207 ( - 9) | 180000 |\n| jun 17 | the instinet classic | new jersey | 1500000 | gil morgan (20) | 201 ( - 15) | 225000 |\n| jun 24 | fleetboston classic | massachusetts | 1400000 | larry nelson (14) | 201 ( - 15) | 210000 |\n| jul 1 | us senior open | massachusetts | 2400000 | bruce fleisher (14) | 280 (e) | 430000 |\n| jul 8 | farmers charity classic | michigan | 1400000 | larry nelson (15) | 202 ( - 14) | 210000 |\n| jul 15 | ford senior players championship | michigan | 2400000 | allen doyle (6) | 273 ( - 15) | 375000 |\n| jul 22 | sbc senior open | illinois | 1400000 | dana quigley (5) | 200 ( - 16) | 210000 |\n| jul 29 | state farm senior classic | maryland | 1450000 | allen doyle (7) | 205 ( - 11) | 217500 |\n| aug 5 | lightpath long island classic | new york | 1700000 | bobby wadkins (1) | 202 ( - 14) | 255000 |\n| aug 12 | 3 m championship | minnesota | 1750000 | bruce lietzke (1) | 207 ( - 9) | 262500 |\n| aug 19 | novell utah showdown | utah | 1500000 | steve veriato (1) | 204 ( - 12) | 225000 |\n| aug 26 | at&t canada senior open championship | canada | 1600000 | walter hall (1) | 199 ( - 15) | 240000 |\n| sep 2 | kroger senior classic | ohio | 1500000 | jim thorpe (3) | 130 ( - 10) | 220000 |\n| sep 9 | allianz championship | iowa | 1750000 | jim thorpe (4) | 199 ( - 14) | 262500 |\n| sep 23 | sas championship | north carolina | 1600000 | bruce lietzke (2) | 201 ( - 15) | 240000 |\n| sep 30 | gold rush classic | california | 1300000 | tom kite (3) | 194 ( - 22) | 195000 |\n| oct 7 | turtle bay championship | hawaii | 1500000 | hale irwin (32) | 205 ( - 11) | 225000 |\n| oct 14 | the transamerica | california | 1300000 | sammy rachels (2) | 202 ( - 14) | 195000 |\n| oct 21 | sbc championship | texas | 1400000 | larry nelson (16) | 199 ( - 17) | 210000 |" + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following sentence is confirmed or opposed by the table. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\ntable title:2001 senior pga tour\nsentence: the transamerica in california was won by sammy rachels" + }, + { + "from": "gpt", + "value": "According to the table, the sentence is confirmed by the table information. Therefore, the final answer: {\"answer\": \"confirmed\"}." + }, + { + "from": "human", + "value": "Examine the table with the given title '2001 senior pga tour' and judge whether the hypothesis is entailed or disputed based on the table's content. The final result should be presented in the JSON format of {\"answer\": \"\"}.\ngold rush classic was won by tom kite" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the hypothesis. Hence, the answer is {\"answer\": \"entailed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_20818", + "image": "table_instructV/images/Rotowire_train_table_3372.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nuggets | Denver | 99 | 28 | 20 | 26 | 25 | 20 | 48 | 12 | 42 | 73 | 29 | 18 | 25 | | | | |\n| Celtics | Boston | 100 | 20 | 22 | 33 | 25 | 20 | 41 | 14 | 49 | 63 | 43 | 15 | 26 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Nuggets | | | | | | | | | | | | | | | | | | |\n| Jameer Nelson | 42 | 23 | 0 | 7 | 9-20 | 45% | 4-7 | 57% | 1-2 | 50% | 1 | 4 | 0 | 0 | 0 | 2 | G | Denver |\n| Arron Afflalo | 39 | 20 | 4 | 4 | 6-13 | 46% | 1-4 | 25% | 7-7 | 100% | 0 | 1 | 0 | 1 | 3 | 3 | G | Denver |\n| JJ Hickson | 29 | 15 | 14 | 3 | 6-8 | 75% | 0-0 | 0% | 3-6 | 50% | 2 | 1 | 0 | 6 | 8 | 1 | N/A | Denver |\n| Wilson Chandler | 36 | 14 | 6 | 2 | 5-15 | 33% | 1-5 | 20% | 3-4 | 75% | 3 | 0 | 1 | 2 | 4 | 1 | F | Denver |\n| Kenneth Faried | 38 | 11 | 14 | 3 | 4-12 | 33% | 0-0 | 0% | 3-5 | 60% | 0 | 1 | 1 | 4 | 10 | 4 | F | Denver |\n| Darrell Arthur | 13 | 6 | 2 | 0 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 0 | 2 | 4 | N/A | Denver |\n| Jusuf Nurkic | 15 | 6 | 8 | 0 | 3-7 | 43% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 4 | 4 | 3 | C | Denver |\n| Danilo Gallinari | 17 | 4 | 0 | 0 | 1-7 | 14% | 0-3 | 0% | 2-2 | 100% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Denver |\n| Randy Foye | 11 | 0 | 0 | 1 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 1 | N/A | Denver |\n| Ty Lawson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| JaVale McGee | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Alonzo Gee | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Gary Harris | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Avery Bradley | 30 | 18 | 6 | 1 | 7-11 | 64% | 4-5 | 80% | 0-0 | 0% | 0 | 4 | 0 | 0 | 6 | 3 | G | Boston |\n| Brandon Bass | 35 | 17 | 9 | 5 | 5-12 | 42% | 0-0 | 0% | 7-8 | 88% | 3 | 0 | 1 | 2 | 7 | 3 | C | Boston |\n| Jared Sullinger | 29 | 14 | 8 | 2 | 5-13 | 39% | 0-4 | 0% | 4-8 | 50% | 2 | 3 | 0 | 3 | 5 | 5 | F | Boston |\n| Tyler Zeller | 23 | 11 | 6 | 0 | 5-10 | 50% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 1 | 5 | 1 | N/A | Boston |\n| Evan Turner | 28 | 10 | 2 | 6 | 5-8 | 63% | 0-2 | 0% | 0-2 | 0% | 1 | 1 | 2 | 0 | 2 | 3 | G | Boston |\n| Jae Crowder | 22 | 9 | 5 | 0 | 3-3 | 100% | 2-2 | 100% | 1-1 | 100% | 0 | 0 | 1 | 1 | 4 | 0 | F | Boston |\n| Marcus Thornton | 18 | 7 | 2 | 0 | 3-7 | 43% | 1-2 | 50% | 0-0 | 0% | 1 | 0 | 0 | 0 | 2 | 2 | N/A | Boston |\n| Phil Pressey | 16 | 6 | 1 | 3 | 1-4 | 25% | 1-3 | 33% | 3-4 | 75% | 0 | 2 | 0 | 0 | 1 | 1 | N/A | Boston |\n| Marcus Smart | 14 | 4 | 0 | 3 | 1-2 | 50% | 1-2 | 50% | 1-2 | 50% | 0 | 1 | 0 | 0 | 0 | 5 | N/A | Boston |\n| Tayshaun Prince | 17 | 4 | 2 | 0 | 2-5 | 40% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 2 | 1 | 1 | 1 | N/A | Boston |\n| Gerald Wallace | 8 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Boston |\n| Shavlik Randolph | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| James Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |" + }, + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the latex format." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|}\n\\hline\n TEAM-NAME & CITY & PTS & PTS\\_QTR1 & PTS\\_QTR2 & PTS\\_QTR3 & PTS\\_QTR4 & AST & REB & TOV & FG\\_PCT & FT\\_PCT & FG3\\_PCT & WINS & LOSSES & & & & \\\\\n\\hline\n Nuggets & Denver & 99 & 28 & 20 & 26 & 25 & 20 & 48 & 12 & 42 & 73 & 29 & 18 & 25 & & & & \\\\\n\\hline\n Celtics & Boston & 100 & 20 & 22 & 33 & 25 & 20 & 41 & 14 & 49 & 63 & 43 & 15 & 26 & & & & \\\\\n\\hline\n & & & & & & & & & & & & & & & & & & \\\\\n\\hline\n PLAYER\\_NAME & MIN & PTS & REB & AST & FG & FG\\_PCT & FG3 & FG3\\_PCT & FT & FT\\_PCT & STL & TO & BLK & OREB & DREB & PF & START\\_POSITION & TEAM\\_CITY \\\\\n\\hline\n Nuggets & & & & & & & & & & & & & & & & & & \\\\\n\\hline\n Jameer Nelson & 42 & 23 & 0 & 7 & 9-20 & 45\\% & 4-7 & 57\\% & 1-2 & 50\\% & 1 & 4 & 0 & 0 & 0 & 2 & G & Denver \\\\\n\\hline\n Arron Afflalo & 39 & 20 & 4 & 4 & 6-13 & 46\\% & 1-4 & 25\\% & 7-7 & 100\\% & 0 & 1 & 0 & 1 & 3 & 3 & G & Denver \\\\\n\\hline\n JJ Hickson & 29 & 15 & 14 & 3 & 6-8 & 75\\% & 0-0 & 0\\% & 3-6 & 50\\% & 2 & 1 & 0 & 6 & 8 & 1 & N/A & Denver \\\\\n\\hline\n Wilson Chandler & 36 & 14 & 6 & 2 & 5-15 & 33\\% & 1-5 & 20\\% & 3-4 & 75\\% & 3 & 0 & 1 & 2 & 4 & 1 & F & Denver \\\\\n\\hline\n Kenneth Faried & 38 & 11 & 14 & 3 & 4-12 & 33\\% & 0-0 & 0\\% & 3-5 & 60\\% & 0 & 1 & 1 & 4 & 10 & 4 & F & Denver \\\\\n\\hline\n Darrell Arthur & 13 & 6 & 2 & 0 & 3-5 & 60\\% & 0-0 & 0\\% & 0-0 & 0\\% & 1 & 2 & 0 & 0 & 2 & 4 & N/A & Denver \\\\\n\\hline\n Jusuf Nurkic & 15 & 6 & 8 & 0 & 3-7 & 43\\% & 0-0 & 0\\% & 0-0 & 0\\% & 0 & 1 & 0 & 4 & 4 & 3 & C & Denver \\\\\n\\hline\n Danilo Gallinari & 17 & 4 & 0 & 0 & 1-7 & 14\\% & 0-3 & 0\\% & 2-2 & 100\\% & 1 & 0 & 0 & 0 & 0 & 0 & N/A & Denver \\\\\n\\hline\n Randy Foye & 11 & 0 & 0 & 1 & 0-2 & 0\\% & 0-2 & 0\\% & 0-0 & 0\\% & 0 & 2 & 0 & 0 & 0 & 1 & N/A & Denver \\\\\n\\hline\n Ty Lawson & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Denver \\\\\n\\hline\n JaVale McGee & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Denver \\\\\n\\hline\n Alonzo Gee & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Denver \\\\\n\\hline\n Gary Harris & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Denver \\\\\n\\hline\n Celtics & & & & & & & & & & & & & & & & & & \\\\\n\\hline\n Avery Bradley & 30 & 18 & 6 & 1 & 7-11 & 64\\% & 4-5 & 80\\% & 0-0 & 0\\% & 0 & 4 & 0 & 0 & 6 & 3 & G & Boston \\\\\n\\hline\n Brandon Bass & 35 & 17 & 9 & 5 & 5-12 & 42\\% & 0-0 & 0\\% & 7-8 & 88\\% & 3 & 0 & 1 & 2 & 7 & 3 & C & Boston \\\\\n\\hline\n Jared Sullinger & 29 & 14 & 8 & 2 & 5-13 & 39\\% & 0-4 & 0\\% & 4-8 & 50\\% & 2 & 3 & 0 & 3 & 5 & 5 & F & Boston \\\\\n\\hline\n Tyler Zeller & 23 & 11 & 6 & 0 & 5-10 & 50\\% & 0-0 & 0\\% & 1-2 & 50\\% & 0 & 1 & 0 & 1 & 5 & 1 & N/A & Boston \\\\\n\\hline\n Evan Turner & 28 & 10 & 2 & 6 & 5-8 & 63\\% & 0-2 & 0\\% & 0-2 & 0\\% & 1 & 1 & 2 & 0 & 2 & 3 & G & Boston \\\\\n\\hline\n Jae Crowder & 22 & 9 & 5 & 0 & 3-3 & 100\\% & 2-2 & 100\\% & 1-1 & 100\\% & 0 & 0 & 1 & 1 & 4 & 0 & F & Boston \\\\\n\\hline\n Marcus Thornton & 18 & 7 & 2 & 0 & 3-7 & 43\\% & 1-2 & 50\\% & 0-0 & 0\\% & 1 & 0 & 0 & 0 & 2 & 2 & N/A & Boston \\\\\n\\hline\n Phil Pressey & 16 & 6 & 1 & 3 & 1-4 & 25\\% & 1-3 & 33\\% & 3-4 & 75\\% & 0 & 2 & 0 & 0 & 1 & 1 & N/A & Boston \\\\\n\\hline\n Marcus Smart & 14 & 4 & 0 & 3 & 1-2 & 50\\% & 1-2 & 50\\% & 1-2 & 50\\% & 0 & 1 & 0 & 0 & 0 & 5 & N/A & Boston \\\\\n\\hline\n Tayshaun Prince & 17 & 4 & 2 & 0 & 2-5 & 40\\% & 0-1 & 0\\% & 0-0 & 0\\% & 0 & 2 & 2 & 1 & 1 & 1 & N/A & Boston \\\\\n\\hline\n Gerald Wallace & 8 & 0 & 0 & 0 & 0-0 & 0\\% & 0-0 & 0\\% & 0-0 & 0\\% & 1 & 0 & 0 & 0 & 0 & 0 & N/A & Boston \\\\\n\\hline\n Shavlik Randolph & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Boston \\\\\n\\hline\n James Young & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Boston \\\\\n\\hline\n\\end{tabular}" + }, + { + "from": "human", + "value": "Review the box-score and line-score tables from the NBA game between Nuggets and Celtics on January 23, 2015. Compose a game summary based on the data statistics." + }, + { + "from": "gpt", + "value": "The Celtics (15-26) held on to beat the Nuggets (18-25) 100-99 in Denver on Friday night. Down 96-95 with 1:32 to play, the Celtics got the ball to Evan Turner after a timeout, and Turner kicked to Avery Bradley for a three-pointer to give the Celtics a two-point lead with 1:23 to play. Wilson Chandler split a pair of free throws on the other end, bringing the Nuggets back to within one with 1:10 remaining. After a Boston turnover, Jameer Nelson missed a shot on the other end, giving the Celtics the ball with 30 seconds to play. Bradley hit another jumper – a two-pointer this time – to give Boston a 100-97 lead. J.J. Hickson responded with a layup on the other end, and the Nuggets sent Evan Tuner to the line for a pair with 14 seconds remaining. Turner missed both free throws, and Arron Afflalo corralled the rebound with 11 seconds remaining. With a chance to win, Nelson dribbled out the clock but his contested jumper rimmed out as the buzzer sounded. The Celtics placed four starters in double-figures led by Bradley’s 18. Brandon Bass added 17 points, and Jared Sullinger pitched in 14 to go with eight boards. Tyler Zeller added 11 points and six rebounds off the bench. Denver was paced by 23 points and seven assists form Nelson. Afflalo finished with 20 points, and Kenneth Faried added an 11-point, 14-rebound double-double. J.J. Hickson turned in an impressive performance off the bench, finishing with 15 points and 14 boards in 29 minutes." + } + ] + }, + { + "id": "table_instructV_multi_round_21003", + "image": "table_instructV/images/TABMWP_1254.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $240 | 12,600 | 10,200 |\n| $310 | 11,100 | 12,800 |\n| $380 | 9,600 | 15,400 |\n| $450 | 8,100 | 18,000 |\n| $520 | 6,600 | 20,600 |" + }, + { + "from": "human", + "value": "Could you count the number of rows and columns in this table? Output the final answer as JSON in the format {\"row_number\": \"m\", \"column_number\": \"n\"}." + }, + { + "from": "gpt", + "value": "This table has 6 rows and 3 columns. Thus, the final answer is {\"row_number\": \"6\", \"column_number\": \"3\"}." + }, + { + "from": "human", + "value": "Problem: \nLook at the table. Then answer the question. At a price of $520, is there a shortage or a surplus? (A) shortage (B) surplus\n\nAnswer the above problem related to the table. Provide a concluding answer in a JSON structure, using the format {\"answer\": \"\"}.\nSolution:" + }, + { + "from": "gpt", + "value": "At the price of $520, the quantity demanded is less than the quantity supplied. There is too much of the good or service for sale at that price. So, there is a surplus.\n\n\nThus, the final answer is {\"answer\": \"surplus\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_21130", + "image": "table_instructV/images/TabFact_2-11881103-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| year | tournament | venue | result | event |\n| --- | --- | --- | --- | --- |\n| 1966 | european championships | budapest , hungary | 6th | 110 m hurdles |\n| 1967 | mediterranean games | tunis , tunisia | 2nd | 110 m hurdles |\n| 1970 | universiade | turin , italy | 3rd | 110 m hurdles |\n| 1971 | european indoor championships | sofia , bulgaria | 3rd | 60 m hurdles |\n| 1971 | european championships | helsinki , finland | 6th | 110 m hurdles |\n| 1971 | mediterranean games | izmir , turkey | 2nd | 110 m hurdles |" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table with its caption 'sergio liani', the goal is to distinguish whether the following hypothesis is upheld or refuted by the table. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nsergio liani competed in the 110 m hurdles more than any other event" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the hypothesis is true. So, the answer is {\"answer\": \"upheld\"}." + }, + { + "from": "human", + "value": "Give you a table picture about 'sergio liani', determine whether the following claim is confirmed or opposed by the table's content. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\n\nthe best result for sergio liani at a tournament was 2nd place" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the claim. Hence, the answer is {\"answer\": \"confirmed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_21177", + "image": "table_instructV/images/TabFact_2-1053247-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| date | sport | winner | score | loser |\n| --- | --- | --- | --- | --- |\n| 1992 | football | england b | 3 - 0 | france b |\n| 1998 | football | england b | 4 - 1 | russia - 2 |\n| 2002 | football | nigeria | 1 - 0 | jamaica |\n| 2004 | rugby league | australia | 32 - 16 | new zealand |\n| 2005 | rugby league | new zealand | 42 - 26 | great britain |\n| 2006 | football | australia | 1 - 1 | ghana |\n| 2006 | football | trinidad and tobago | 2 - 0 | iceland |\n| 2007 | football | denmark | 3 - 1 | australia |\n| 2008 | football | australia | 2 - 2 | south africa |\n| 2010 | football | south korea | 2 - 0 | côte d'ivoire |" + }, + { + "from": "human", + "value": "Examine whether the subsequent sentence is entailed or disproved by the given table titled 'loftus road'. The final result should be presented in the JSON format of {\"answer\": \"\"}.\ndenmark is the winner in 2007 for rugby league" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the sentence is not valid. Hence, the answer is {\"answer\": \"disproved\"}." + }, + { + "from": "human", + "value": "According to the information in the given table regarding 'loftus road', tell me whether the statement is supported or contradicted by the table. Show your final answer in the JSON format {\"answer\": \"\"}.\nin 1992 france b lose to england b" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the statement. Hence, the answer is {\"answer\": \"supported\"}." + }, + { + "from": "human", + "value": "Table title: loftus road\nstatement: when russia 2 was the loser , they lost by a score of 4 - 2\nPlease distinguish whether the above statement is affirmed or challenged by the table information. Show your final answer in the JSON format {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "Based on the table information, the statement is not true. Thus, the answer is {\"answer\": \"challenged\"}." + }, + { + "from": "human", + "value": "According to the table information regarding 'loftus road', tell me whether the provided table substantiates or disputes the statement. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nin 1998 russia - 2 lost playing football against england b" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it substantiates the statement. So, the answer is {\"answer\": \"substantiates\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_21329", + "image": "table_instructV/images/TABMWP_31564.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $510 | 14,900 | 1,000 |\n| $560 | 12,200 | 5,700 |\n| $610 | 9,500 | 10,400 |\n| $660 | 6,800 | 15,100 |\n| $710 | 4,100 | 19,800 |" + }, + { + "from": "human", + "value": "Look at the table and break down the following math word problem, step by step. Provide a concluding answer in a JSON structure, using the format {\"answer\": \"\"}.\nLook at the table. Then answer the question. At a price of $510, is there a shortage or a surplus? (A) shortage (B) surplus" + }, + { + "from": "gpt", + "value": "At the price of $510, the quantity demanded is greater than the quantity supplied. There is not enough of the good or service for sale at that price. So, there is a shortage.\n\n\nSo, the answer is {\"answer\": \"shortage\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_21477", + "image": "table_instructV/images/TABMWP_20223.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Gem color | Change in points |\n| --- | --- |\n| Green | 25 |\n| Red | -40 |" + }, + { + "from": "human", + "value": "Show the detailed solution to answer the following question. Provide a concluding answer in a JSON structure, using the format {\"answer\": \"\"}.\nQuestion: Chandler just downloaded the new game Gem Excavator on his phone. In the first level, Chandler gains points for each green gem he finds. However, he loses points for each red gem he finds. The table shows how the gems affect Chandler's points. Which color gem affects Chandler's points less? (A) green (B) red" + }, + { + "from": "gpt", + "value": "To find the gem that affects Chandler's points less, use absolute value. Absolute value tells you how much Chandler's points change for each color gem.\nGreen: |25| = 25\nRed: |-40| = 40\nChandler gains 25 points for each green gem he finds, and he loses 40 points for each red gem he finds. So, the green gems affect Chandler's points less.\n\nSo, the answer is {\"answer\": \"green\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_21491", + "image": "table_instructV/images/Rotowire_train_table_3051.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Heat | Miami | 101 | 30 | 32 | 15 | 24 | 27 | 43 | 11 | 48 | 82 | 33 | 14 | 16 | | | | |\n| Cavaliers | Cleveland | 91 | 27 | 22 | 25 | 17 | 16 | 37 | 15 | 44 | 64 | 23 | 17 | 11 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Dwyane Wade | 37 | 31 | 5 | 5 | 12-28 | 43% | 2-5 | 40% | 5-5 | 100% | 2 | 1 | 1 | 1 | 4 | 0 | G | Miami |\n| Luol Deng | 40 | 25 | 8 | 8 | 11-16 | 69% | 1-3 | 33% | 2-2 | 100% | 0 | 2 | 0 | 3 | 5 | 4 | F | Miami |\n| Chris Andersen | 29 | 12 | 8 | 1 | 4-5 | 80% | 0-0 | 0% | 4-6 | 67% | 2 | 0 | 1 | 2 | 6 | 5 | C | Miami |\n| Danny Granger | 22 | 9 | 7 | 1 | 4-5 | 80% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 7 | 4 | N/A | Miami |\n| Norris Cole | 34 | 8 | 2 | 5 | 2-7 | 29% | 1-2 | 50% | 3-4 | 75% | 1 | 4 | 0 | 1 | 1 | 3 | N/A | Miami |\n| Udonis Haslem | 13 | 6 | 4 | 0 | 3-4 | 75% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 1 | 3 | 3 | N/A | Miami |\n| Shawne Williams | 26 | 5 | 5 | 1 | 2-6 | 33% | 1-5 | 20% | 0-0 | 0% | 1 | 0 | 0 | 2 | 3 | 2 | F | Miami |\n| Mario Chalmers | 31 | 5 | 1 | 6 | 2-12 | 17% | 1-4 | 25% | 0-0 | 0% | 1 | 2 | 0 | 1 | 0 | 3 | G | Miami |\n| Hassan Whiteside | 8 | 0 | 3 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 1 | 2 | 2 | N/A | Miami |\n| Justin Hamilton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Shabazz Napier | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Andre Dawkins | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| James Ennis III | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Cavaliers | | | | | | | | | | | | | | | | | | |\n| LeBron James | 40 | 30 | 4 | 8 | 9-16 | 56% | 2-8 | 25% | 10-18 | 56% | 0 | 4 | 0 | 0 | 4 | 1 | F | Cleveland |\n| Kyrie Irving | 42 | 25 | 4 | 3 | 10-19 | 53% | 1-3 | 33% | 4-5 | 80% | 1 | 2 | 0 | 0 | 4 | 3 | G | Cleveland |\n| Kevin Love | 39 | 14 | 5 | 3 | 5-13 | 39% | 0-4 | 0% | 4-4 | 100% | 1 | 2 | 1 | 1 | 4 | 0 | C | Cleveland |\n| Dion Waiters | 28 | 8 | 6 | 2 | 3-8 | 38% | 1-4 | 25% | 1-2 | 50% | 3 | 3 | 2 | 1 | 5 | 1 | N/A | Cleveland |\n| Mike Miller | 26 | 6 | 0 | 0 | 2-4 | 50% | 2-4 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 4 | G | Cleveland |\n| Tristan Thompson | 26 | 6 | 9 | 0 | 2-5 | 40% | 0-0 | 0% | 2-4 | 50% | 1 | 1 | 1 | 4 | 5 | 2 | N/A | Cleveland |\n| Shawn Marion | 19 | 2 | 5 | 0 | 1-5 | 20% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 0 | 3 | 2 | 2 | F | Cleveland |\n| Matthew Dellavedova | 15 | 0 | 3 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 2 | 1 | 2 | N/A | Cleveland |\n| James Jones | 4 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Cleveland |\n| Lou Amundson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Brendan Haywood | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Joe Harris | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Alex Kirk | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |" + }, + { + "from": "human", + "value": "Utilizing the data from the box-score and line-score tables of the NBA game featuring Heat versus Cavaliers on December 25, 2014, craft a game report highlighting the key moments and statistics." + }, + { + "from": "gpt", + "value": "The Miami Heat (14-16) defeated the Cleveland Cavaliers (17-11) 101-91 on Thursday. Miami came into the game losing three of their last four games, and with news that Chris Bosh would sit out his seventh straight game on Thursday. Despite this, Miami took control of the game early on, and remained in the lead before Cleveland made a run to take a two point lead in the fourth quarter. However, Miami responded by going on a 12-3 run to take the lead and ultimately get the win. Dwyane Wade led his team to the victory with 31 points, five assists and five rebounds in 37 minutes. Miami will play Memphis in the sixth game of their home stand on Saturday. Cleveland had won four of their last five games coming into their matchup with Miami. This was also the first game the team played since receiving news that starting center Anderson Varejao would miss the remainder of the season with a torn Achilles. The Cavaliers' big three combined to score 69 of the team’s 91 points ; however, they were left with little production from the rest of the team. LeBron James finished with 30 points, eight assists, and four rebounds in his homecoming, but ultimately it wasn’t enough to get the win. Cleveland will travel to Orlando for the second half of a back-to-back road trip that concludes against the Magic." + } + ] + }, + { + "id": "table_instructV_multi_round_21555", + "image": "table_instructV/images/TABMWP_32249.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Number of laundry hampers | Number of sweaters |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | ? |" + }, + { + "from": "human", + "value": "Give you a table. Please solve the math problem below, showing each step. Conclude your response with a final answer in the JSON format {\"answer\": \"\"}.\n\nEach laundry hamper has 2 sweaters. How many sweaters are in 3 laundry hampers?" + }, + { + "from": "gpt", + "value": "Count by twos. Use the chart: there are 6 sweaters in 3 laundry hampers.\n\nTherefore, the final answer is {\"answer\": \"6\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_21585", + "image": "table_instructV/images/ToTTo_train_table_18325.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| No. | Event | Time | Meet | Date |\n| --- | --- | --- | --- | --- |\n| 1 | 50 yd freestyle | 18.39 (h) | 2016 SEC Swimming & Diving Championships | February 17, 2016 |\n| 2 | 50 yd freestyle (2) | 18.23 | 2016 SEC Swimming & Diving Championships | February 17, 2016 |\n| 3 | 50 yd freestyle (3) | 18.20 | 2016 NCAA Championships | March 24, 2016 |\n| 4 | 100 yd freestyle | 40.46 | 2016 NCAA Championships | March 26, 2016 |\n| 5 | 100 yd freestyle (2) | 40.00 | 2017 NCAA Championships | March 25, 2017 |\n| 6 | 100 yd butterfly | 43.58 | 2017 NCAA Championships | March 25, 2017 |\n| 7 | 200 yd individual medley | 1:38.13 | 2018 SEC Swimming & Diving Championships | February 15, 2018 |\n| 8 | 100 yd breaststroke | 50.03 | 2018 SEC Swimming & Diving Championships | February 17, 2018 |\n| 9 | 50 yd freestyle (4) | 18.11 (h) | 2018 NCAA Championships | March 22, 2018 |\n| 10 | 50 yd freestyle (5) | 17.81 (r) | 2018 NCAA Championships | March 22, 2018 |\n| 11 | 50 yd freestyle (6) | 17.63 | 2018 NCAA Championships | March 22, 2018 |\n| 12 | 100 yd butterfly (2) | 42.80 | 2018 NCAA Championships | March 23, 2018 |\n| 13 | 100 yd freestyle (3) | 39.90 | 2018 NCAA Championships | March 24, 2018 |" + }, + { + "from": "human", + "value": "Give you a Wikipedia table titled 'Caeleb Dressel'. Its section title is 'National/US Open Records Short Course Yards'. \nBased on the table and above metadata, generate a one-sentence description about highlighted table cells." + }, + { + "from": "gpt", + "value": "At the 2017 NCAA Championships, Caeleb Dressel's US Open records in the 100-yard butterfly and the 100-yard freestyle with times of 43.58 and 40.00, respectively." + } + ] + }, + { + "id": "table_instructV_multi_round_21596", + "image": "table_instructV/images/Rotowire_train_table_2342.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Suns | Phoenix | 110 | 27 | 28 | 28 | 27 | 17 | 55 | 19 | 45 | 76 | 22 | 1 | 1 | | | | |\n| Trail Blazers | Portland | 92 | 23 | 26 | 20 | 23 | 17 | 42 | 23 | 40 | 79 | 38 | 1 | 1 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Suns | | | | | | | | | | | | | | | | | | |\n| Eric Bledsoe | 33 | 22 | 2 | 3 | 6-14 | 43% | 0-2 | 0% | 10-11 | 91% | 2 | 3 | 1 | 0 | 2 | 0 | G | Phoenix |\n| Brandon Knight | 33 | 18 | 4 | 4 | 7-14 | 50% | 2-5 | 40% | 2-2 | 100% | 3 | 2 | 0 | 1 | 3 | 3 | G | Phoenix |\n| TJ Warren | 22 | 17 | 6 | 1 | 7-10 | 70% | 1-2 | 50% | 2-4 | 50% | 0 | 1 | 0 | 1 | 5 | 2 | N/A | Phoenix |\n| Tyson Chandler | 26 | 15 | 13 | 1 | 3-7 | 43% | 0-0 | 0% | 9-12 | 75% | 1 | 1 | 1 | 5 | 8 | 2 | C | Phoenix |\n| Markieff Morris | 34 | 13 | 8 | 2 | 6-17 | 35% | 1-3 | 33% | 0-0 | 0% | 1 | 3 | 2 | 3 | 5 | 3 | F | Phoenix |\n| Alex Len | 19 | 10 | 4 | 1 | 4-6 | 67% | 0-0 | 0% | 2-4 | 50% | 1 | 1 | 2 | 1 | 3 | 1 | N/A | Phoenix |\n| Ronnie Price | 11 | 6 | 2 | 2 | 1-3 | 33% | 0-2 | 0% | 4-4 | 100% | 2 | 0 | 0 | 0 | 2 | 1 | N/A | Phoenix |\n| PJ Tucker | 24 | 4 | 4 | 1 | 2-6 | 33% | 0-3 | 0% | 0-0 | 0% | 2 | 2 | 0 | 0 | 4 | 2 | F | Phoenix |\n| Sonny Weems | 17 | 3 | 3 | 0 | 1-2 | 50% | 0-1 | 0% | 1-1 | 100% | 0 | 4 | 0 | 0 | 3 | 0 | N/A | Phoenix |\n| Archie Goodwin | 2 | 1 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 1 | 0 | 1 | 0 | N/A | Phoenix |\n| Jon Leuer | 15 | 1 | 8 | 2 | 0-3 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 8 | 2 | N/A | Phoenix |\n| Mirza Teletovic | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Phoenix |\n| Devin Booker | 2 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Phoenix |\n| Trail Blazers | | | | | | | | | | | | | | | | | | |\n| Damian Lillard | 37 | 24 | 3 | 6 | 7-20 | 35% | 3-8 | 38% | 7-7 | 100% | 0 | 7 | 0 | 0 | 3 | 4 | G | Portland |\n| Al-Farouq Aminu | 32 | 16 | 10 | 0 | 5-9 | 56% | 2-3 | 67% | 4-5 | 80% | 0 | 6 | 2 | 3 | 7 | 5 | F | Portland |\n| CJ McCollum | 33 | 16 | 4 | 3 | 7-22 | 32% | 2-7 | 29% | 0-0 | 0% | 2 | 2 | 0 | 1 | 3 | 4 | G | Portland |\n| Mason Plumlee | 26 | 15 | 5 | 1 | 7-13 | 54% | 0-0 | 0% | 1-2 | 50% | 3 | 1 | 0 | 3 | 2 | 4 | C | Portland |\n| Maurice Harkless | 24 | 9 | 5 | 1 | 4-6 | 67% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 1 | 1 | 4 | 3 | N/A | Portland |\n| Ed Davis | 20 | 5 | 2 | 1 | 2-3 | 67% | 0-0 | 0% | 1-3 | 33% | 0 | 2 | 1 | 1 | 1 | 2 | N/A | Portland |\n| Pat Connaughton | 3 | 5 | 0 | 0 | 1-2 | 50% | 1-1 | 100% | 2-2 | 100% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Portland |\n| Noah Vonleh | 21 | 2 | 6 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 2 | 4 | 2 | N/A | Portland |\n| Meyers Leonard | 18 | 0 | 3 | 2 | 0-5 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 3 | 5 | F | Portland |\n| Allen Crabbe | 23 | 0 | 3 | 1 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 3 | 1 | 0 | 0 | 3 | 3 | N/A | Portland |\n| Tim Frazier | 2 | 0 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 1 | N/A | Portland |\n| Luis Montero | 2 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Portland |\n| Chris Kaman | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |" + }, + { + "from": "human", + "value": "Given the table titled 'Data statistics of Suns vs Trail Blazers on 30th October, 2015', write a game summary in detail." + }, + { + "from": "gpt", + "value": "The Phoenix Suns (1-1) took care of the Portland Trail Blazers (1-1) in a 110-92 win in Phoenix on Friday. The Suns and Trail Blazers played the first half of a home-and-home against one another on Friday night, and the Suns looked like the much better squad. Phoenix had four players score 13 or more points in this game and it was a major bounce back after being blown out in their home opener against the Dallas Mavericks on Wednesday. The Blazers were outrebounded 54-43 in this game and just couldn’t keep the Suns off the free-throw line. Portland committed 33 fouls and allowed 42 attempts from the charity stripe. The Trail Blazers had four starters score at least 15 points, but got only 21 combined points from the other eight players. They were led by Damian Lillard, who totaled 24 points, six assists, and seven turnovers in the loss. Phenom C.J. McCollum couldn’t quite live up to his 37-point outing in the opener, as he shot just 7-for-22 in his 16-point game on Friday night. There 's a lot on these two guards' shoulders this season, and it remains to be seen if they can hold that much weight for the full 82-game schedule. This was Portland 's first game of a back-to-back set against these same Suns, but the Blazers will be the hosts Saturday. The Suns had a nightmare home opener on Wednesday against the Mavericks as they lost 111-95, but they bounced back nicely here in a dominant win. They had major contributions from Eric Bledsoe, Markieff Morris, Tyson Chandler, Brandon Knight, and T.J. Warren in this game, as they all scored at least 13 points. What was most impressive was the defense, as the starters combined for nine steals and five blocks in the blowout victory. After Chandler and Morris combined for just seven points and seven rebounds in the opener, they played with some pride here, putting up 28 points and 21 rebounds between them. Warren collected 17 points and six rebounds in his 22 minutes off the bench and he 's looking like a true breakout candidate this season. The Suns will look to duplicate this performance on Saturday when they travel to Portland to conclude this home-and-home set." + } + ] + }, + { + "id": "table_instructV_multi_round_21640", + "image": "table_instructV/images/ToTTo_train_table_27097.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Magazine name | Japanese name | Year of First Issue | Year of Last Issue | Demographic | Frequency | Publisher |\n| --- | --- | --- | --- | --- | --- | --- |\n| 4-Koma Nano Ace | 4コマnanoエース | 2011 | 2013 | Shōnen/Seinen | Monthly | Kadokawa Shoten |\n| Altima Ace | アルティマエース | 2011 | 2012 | Shōjo | Bi-monthly | Kadokawa Shoten |\n| Aqua BL Kingdom | アクアBLキングダム | 2007 | 2013 | Josei | Bi-monthly | Oakla Publishing |\n| Aria | アリア | 2010 | | Shōjo/Josei | Monthly | Kodansha |\n| Asuka Ciel | あすかCIEL | 1993 | 1994 | Shōjo | Bi-monthly | Kadokawa Shoten |\n| Asuka Fantasy DX | 月刊ASUKAファンタジーDX | 1991 | 2000 | Shōjo | Monthly | Kadokawa Shoten |\n| Be x Boy | B-Boy | 1993 | | Shōjo | Monthly | Libre Publishing |\n| Be x Boy Gold | 小説b-Boy | 1997 | | Josei | Bi-monthly | Libre Publishing |\n| Be-Love | ビー·ラブ | 1980 | | Josei | Semi-monthly | Kodansha |\n| Bessatsu CoroCoro Comic | 別冊コロコロコミック | 1977 | | Kodomo (male) | Monthly | Shogakukan |\n| Bessatsu Hana to Yume | 別冊花とゆめ | 1977 | | Shōjo | Monthly | Hakusensha |\n| Bessatsu Margaret | 別冊マーガレット | 1964 | | Shōjo | Monthly | Shueisha |\n| Bessatsu Shōnen Magazine (2009) | 別冊少年マガジン | 2009 | | Shōnen | Monthly | Kodansha |\n| Betsucomi (formerly Bessatsu Shoujo Comic) | ベツコミ (別冊少女コミック) | 1970 | | Shōjo | Monthly | Shogakukan |\n| Big Comic Original | ビッグコミックオリジナル | 1972 | | Seinen | Semi-monthly | Shogakukan |\n| Big Comic Superior | ビッグコミックスペリオール | 1987 | | Seinen | Semi-monthly | Shogakukan |\n| Boy's Life | ボーイズライフ | 1963 | 1969 | Shōnen | Monthly | Shogakukan |\n| Champion Red | チャンピオンレッド | 2002 | | Shōnen | Monthly | Akita Shoten |\n| Champion Tap! | Champion タップ! | 2013 | | Shōnen | Weekly | Akita Shoten |\n| Chara | Charaの本棚 | 1994 | | Shōjo | Bi-monthly | Tokuma Shoten |\n| Charano! | キャラの! | 2006 | 2013 | Mixed | Bi-monthly | Hobby Japan |\n| Cheese! | チーズ! | 1996 | | Shōjo | Monthly | Shogakukan |\n| Chuchu | ちゅちゅ | 2005 | 2009 | Shōjo | Monthly | Shogakukan |\n| Ciao (formerly Weekly Shōjo Ciao) | ちゃお (週刊少女コミックちゃお) | 1976 | | Shōjo | Monthly | Shogakukan |\n| Ciel Tres Tres | シエル トレトレ | 2002 | 2014 | Unknown | Bi-monthly | Kadokawa Shoten |\n| Cocohana (formerly Chorus) | コーラス | 1994 | | Josei | Monthly | Shueisha |\n| COM | コム | 1967 | 1972 | Shōnen | Monthly | Osamu Tezuka |\n| Comi Digi + | 隔月コミデジ+ | 2006 | 2008 | Seinen | Bi-monthly | Flex Comix |\n| Comic Beam | コミックビーム | 1995 | | Seinen | Monthly | Enterbrain |\n| Comic Birz | 月刊コミックバーズ | 1996 | | Seinen | Monthly | Gentosha |\n| Comic Blade Brownie | コミックブレイドブラウニー | 2008 | 2009 | Shōnen/Shōjo | Issued once | Mag Garden |\n| Comic Blade Masamune | コミックブレイドマサムネ | 2002 | 2007 | Shōnen | Bi-monthly | Mag Garden |\n| Comic BomBom | コミックボンボン | 1981 | 2007 | Kodomo (male) | Monthly | Kodansha |\n| Comic Cue | コミックCUE | 1994 | 2003 | Unknown | Semi-annually | East Press |\n| Comic Earth Star | コミック アース・スター | 2011 | | Shōnen | Monthly | Earth Star Entertainment |\n| Comic Gum | コミックガム | 1996 | | Seinen | Monthly | Wani Books |\n| Comic High! | コミック·ハイ! | 2004 | | Seinen | Monthly | Futabasha |\n| Comic It | コミック イット | 2015 | 2018 (print version) | Josei | Monthly | Kadokawa ASCII Media Works |\n| Comic LO | 成年コミックエルオー | 2002 | | Lolicon | Monthly | Akane Shinsha |\n| Comic MegaStore | コミックメガストア | 2003 | 2013 | Unknown | Monthly | Core Magazine |\n| Comic MegaStore H | コミックメガストアH | 2003 | | Unknown | Monthly | Core Magazine |\n| Comic Rex | コミックレックス | 2005 | | Shōnen | Monthly | Ichijinsha |\n| Comic Rush | 月刊コミックラッシュ | 2004 | 2014 | Shōnen | Monthly | Jive |\n| Comic Sylph | シルフ | 2006 | 2017 (print version) | Shōjo | Monthly | ASCII Media Works |\n| Comic Valkyrie | コミックヴァルキリー | 2006 | | Seinen | Bi-monthly | Kill Time Communication |\n| Comic Yuri Hime | コミック百合姫 | 2005 | | Shōjo | Monthly | Ichijinsha |\n| Comic Yuri Hime S | コミック百合姫S | 2007 | 2010 | Shōnen/Seinen | Quarterly | Ichijinsha |\n| Comp Ace | コンプ エース | 2005 | | Shōnen | Monthly | Kadokawa Shoten |\n| Comptiq | コンプティーク | 1983 | | Seinen | Monthly | Kadokawa Shoten |\n| Cookie | クッキー | 1999 | | Shōjo/Josei | Bi-monthly | Shueisha |\n| CoroCoro Comic | 月刊コロコロコミック | 1977 | | Kodomo (male) | Monthly | Shogakukan |\n| CoroCoro Ichiban! | コロコロイチバン! | 2005 | | Kodomo (male) | Monthly | Shogakukan |\n| Craft | クラフト | 1999 | | Unknown | Quarterly | Taiyou Tosho |\n| Dengeki Comic Gao! | 月刊電撃コミックガオ! | 1992 | 2008 | Shōnen | Monthly | MediaWorks |\n| Dengeki Daioh | 月刊コミック電撃大王 | 1994 | | Shōnen | Monthly | ASCII Media Works |\n| Dengeki G's Comic | 電撃G'sコミック | 2014 | | Seinen | Monthly | ASCII Media Works |\n| Dengeki G's Festival! Comic | 電撃G's Festival! COMIC | 2007 | 2010 | Seinen | Irregular | ASCII Media Works |\n| Dengeki G's Magazine | 電撃G's magazine | 1992 | | Seinen | Monthly | ASCII Media Works |\n| Dengeki hp | 電撃hp | 1998 | 2007 | Seinen | Bi-monthly | MediaWorks |\n| Dengeki Kuro Maoh | 電撃黒「マ)王 | 2007 | 2010 | Seinen | Quarterly | ASCII Media Works |\n| Dengeki Maoh | 電撃「マ)王 | 2005 | | Seinen | Monthly | ASCII Media Works |\n| Dengeki Moeoh | 電撃萌王 | 2002 | | Seinen | Bi-monthly | ASCII Media Works |\n| Dengeki Teioh | 電撃帝王 | 2004 | 2006 | Seinen | Quarterly | ASCII Media Works |\n| Dessert | デザート | 1996 | | Shōjo/Josei | Monthly | Kodansha |\n| Dragon Age Pure | ドラゴンエイジピュア | 2006 | 2009 | Shōnen | Bi-monthly | Fujimi Shobo |\n| drap | ドラ | 2000 | | Unknown | Monthly | Independent |\n| Evening | イブニング | 2001 | | Seinen | Bi-weekly | Kodansha |\n| Feel Young | フィール·ヤング | 1989 | | Josei | Monthly | Shodensha |\n| For Mrs. | フォアミセス | 1986 | | Josei | Monthly | Akita Shoten |\n| Gangan Powered | ガンガンパワード | 2001 | 2009 | Shōnen | Monthly | Square Enix |\n| Garo | ガロ | 1964 | 2002 | Unknown | Monthly | Katsuichi Nagai |\n| Gessan (also referred to as Monthly Shōnen Sunday) | ゲッサン | 2009 | | Shōnen | Monthly | Shogakukan |\n| GFantasy | 月刊Gファンタジー | 1993 | | Mixed | Monthly | Square Enix |\n| Good! Afternoon | good!アフタヌーン | 2008 | | Seinen | Monthly | Kodansha |\n| Grand Jump | グランドジャンプ | 2011 | | Seinen | Semi-monthly | Shueisha |\n| Gundam Ace | ガンダムエース | 2001 | | Seinen | Monthly | Kadokawa Shoten |\n| GUSH | ガッシュ | 2003 | | Josei | Monthy | Kaiohsha |\n| Hana to Yume | 花とゆめ | 1974 | | Shōjo | Semi-monthly | Hakusensha |\n| Hanaoto | 花音 | 1994 | | Josei | Monthly | Houbunsha |\n| Jossie | ジョシィ | 1998 | 1998 | Josei | Irregular | Hakusensha |\n| Jump Square | ジャンプスクエア | 2007 | | Shōnen | Monthly | Shueisha |\n| June (manga magazine) | コミックJUNE | 1978 | 2004 | Unknown | Bi-monthly | Magazine Magazine |\n| Keitai Manga Town | ケータイまんがタウン | 2006 | | Unknown | Monthly | Futabasha |\n| Kerokero Ace | ケロケロエース | 2007 | 2013 | Shōnen | Monthly | Kadokawa Shoten |\n| Kiss | キス | 2007 | | Josei | Monthly | Kodansha |\n| LaLa | ララ | 1976 | | Shōjo | Monthly | Hakusensha |\n| LaLa DX | ララ デラックス | 1983 | | Shōjo | Bi-monthly | Hakusensha |\n| Lemon People | レモンピープル | 1981 | 1998 | Unknown | Monthly | Kubo Shoten |\n| Love Silky (formerly Silky) | ラブシルキー | 2013 | | Josei | Monthly | Hakusensha |\n| Lupin III Official Magazine | ルパン三世officialマガジン | 2004 | | Unknown | Quarterly | Futabasha |\n| Magazine Special | 少年マ��ジンSPECIAL | 1983 | 2017 | Shōnen | Monthly | Kodansha |\n| Magi-Cu | マジキュー | 2001 | 2007 | Shōnen/Seinen | Monthly | Enterbrain |\n| Manga 4-koma Kings Palette | まんが4コマKINGSぱれっと | 2006 | | Unknown | Monthly | Ichijinsha |\n| Manga Action (formerly Weekly Manga Action) | 週刊漫画アクション | 1967 | | Seinen | Bi-weekly | Futabasha |\n| Manga Burikko | 漫画ブリッコ | 1982 | 1986 | Lolicon | Monthly | Serufu Shuppan |\n| Manga Club | まんがくらぶ | 1987 | | Unknown | Monthly | Takeshobo |\n| Manga Club Original | まんがくらぶオリジナル | 1999 | | Unknown | Monthly | Takeshobo |\n| Manga Erotics F | マンガ·エロティクス·エフ | 2001 | 2014 | Mixed | Bi-monthly | Ohta Publishing |\n| Manga Goccha | マンガごっちゃ | 2010 | | Mixed | Unknown | Micro Magazine |\n| Manga Home | まんがホーム | 1987 | | Seinen | Monthly | Houbunsha |\n| Manga Life | まんがライフ | 1984 | | Unknown | Monthly | Takeshobo |\n| Manga Life Momo | まんがライフMOMO | 2003 | | Unknown | Monthly | Takeshobo |\n| Manga Life Original | まんがライフオリジナル | 1988 | | Unknown | Monthly | Takeshobo |\n| Manga Time | まんがタイム | 1981 | | Seinen | Monthly | Houbunsha |\n| Manga Time Family | まんがタイムファミリー | 1984 | | Seinen | Monthly | Houbunsha |\n| Manga Time Jumbo | まんがタイムジャンボ | 1995 | | Seinen | Monthly | Houbunsha |\n| Manga Time Kirara | まんがタイムきらら | 2002 | | Seinen | Monthly | Houbunsha |\n| Manga Time Kirara Carat | まんがタイムきららCarat | 2003 | | Seinen | Monthly | Houbunsha |\n| Manga Time Kirara Forward | まんがタイムきららフォワード | 2006 | | Seinen | Monthly | Houbunsha |\n| Manga Time Kirara Max | まんがタイムきららMAX | 2004 | | Seinen | Monthly | Houbunsha |\n| Manga Time Kirara Miracle | まんがタイムきららミラク | 2011 | | Seinen | Monthly | Houbunsha |\n| Manga Time Lovely | まんがタイムラブリー | 1993 | 2011 | Unknown | Monthly | Houbunsha |\n| Manga Time Original | まんがタイムオリジナル | 1982 | | Seinen | Monthly | Houbunsha |\n| Manga Time Special | まんがタイムスペシャル | 1992 | | Seinen | Monthly | Houbunsha |\n| Manga Town | まんがタウン | 2000 | | Unknown | Monthly | Futabasha |\n| Margaret | マーガレット | 1963 | | Shōjo | Bi-weekly | Shueisha |\n| Megami Magazine | メガミマガジン | 1999 | | Seinen | Monthly | Gakken |\n| Melody | メロディ | 1997 | | Josei | Bi-monthly | Hakusensha |\n| Monthly Afternoon | アフタヌーン | 1986 | | Seinen | Monthly | Kodansha |\n| Monthly Asuka | 月刊あすか | 1985 | | Shōjo | Monthly | Kadokawa Shoten |\n| Monthly Big Comic Spirits | 月刊!スピリッツ | 2009 | | Seinen | Monthly | Shogakukan |\n| Monthly Comic @Bunch (formerly Weekly Comic Bunch) | 月刊コミック＠バンチ | 2011 | | Seinen | Monthly | Shinchosha |\n| Monthly Comic Alive | 月刊コミックアライブ | 2006 | | Seinen | Monthly | Media Factory |\n| Monthly Comic Avarus (formerly Monthly Comic Blade Avarus) | 月刊コミックアヴァルス (formerly 月刊コミックブレイドアヴァルス) | 2007 | | Shōjo | Monthly | Mag Garden |\n| Monthly Comic Blade | 月刊コミックブレイド | 2002 | | Shōnen/Shōjo | Irregular | Mag Garden |\n| Monthly Comic Dragon | 月刊コミックドラゴン | 1992 | 2003 | Shōnen | Monthly | Fujimi Shobo |\n| Monthly Comic Flapper | コミックフラッパー | 1999 | | Seinen | Monthly | Media Factory |\n| Monthly Comic Garden | 月刊コミックガーデン | 2014 | | Shōnen/Shōjo | Monthly | Mag Garden |\n| Monthly Comic Gene | 月刊コミックジーン | 2011 | | Shōjo | Monthly | Media Factory |\n| Monthly Comic NORA | 月刊コミックNORA | 1986 | 1998 | Shōnen | Monthly | Gakken |\n| Monthly Comic Ryū | 月刊COMICリュウ | 1979 | | Seinen | Monthly | Tokuma Shoten |\n| Monthly Comic Zenon | 月刊コミックゼノン | 2010 | | Seinen | Monthly | Tokuma Shoten |\n| Monthly Comic Zero Sum | 月刊コミックZERO-SUM | 2002 | | Josei | Monthly | Ichijinsha |\n| Monthly Dragon Age (formerly Monthly Comic Dragon) | 月刊ドラゴンエイジ | 2003 | | Shōnen | Monthly | Fujimi Shobo |\n| Monthly Dragon Magazine | ドラゴンマガジン | 1988 | | Shōnen | Bi-monthly | Fujimi Shobo |\n| Monthly Gangan Joker | 月刊ガンガンJOKER | 2009 | | Shōnen | Monthly | Square Enix |\n| Monthly Gangan Wing | 月刊ガンガンWING | 1996 | 2009 | Shōnen | Monthly | Square Enix |\n| Monthly Ikki | 月刊IKKI | 2003 | 2014 | Seinen | Monthly | Shogakukan |\n| Monthly Magazine Z | 月刊マガジンZ | 1999 | 2009 | Seinen | Monthly | Kodansha |\n| Monthly Shōnen Champion (formerly Bessatsu Shōnen Champion) | 月刊少年チャンピオン | 1970 | | Shōnen | Monthly | Akita Shoten |\n| Monthly Shōnen Gangan | 月刊少年ガンガン | 1991 | | Shōnen | Monthly | Square Enix |\n| Monthly Shōnen Jump (formerly Bessatsu Shōnen Jump) | 月刊少年ジャンプ (formerly 別冊少年ジャンプ) | 1970 | 2007 | Shōnen | Monthly | Shueisha |\n| Monthly Shōnen Magazine (formerly Bessatsu Shōnen Magazine) | 月刊少年マガジン (formerly 別冊少年マガジン) | 1964 | | Shōnen | Monthly | Kodansha |\n| Monthly Shōnen Sirius | 月刊少年シリウス | 2005 | | Shōnen | Monthly | Kodansha |\n| Monthly Sunday Gene-X | 月刊サンデーGENE-X | 2000 | | Shōnen | Monthly | Shogakukan |\n| Morning 2 | モーニング·ツー | 2006 | | Seinen | Monthly | Kodansha |\n| Nakayoshi | なかよし | 1955 | | Shōjo | Monthly | Kodansha |\n| Newtype | ニュータイプ | 1985 | | Mixed | Monthly | Kadokawa Shoten |\n| Oh Super Jump | オースーパージャンプ | 2005 | 2011 | Seinen | Monthly | Shueisha |\n| Petit Comic | プチコミック | 1977 | | Josei | Monthly | Shogakukan |\n| Play Comic | プレイコミック | 1968 | | Seinen | Semi-monthly | Akita Shoten |\n| Princess | プリンセス | 1975 | | Shōjo | Monthly | Akita Shoten |\n| Princess Gold | プリンセスGOLD | 1979 | | Shōjo | Semi-monthly | Akita Shoten |\n| Pucchigumi | ぷっちぐみ | 2006 | | Kodomo (female) | Monthly | Shogakukan |\n| Ribon | りぼん | 1955 | | Shōjo | Monthly | Shueisha |\n| Ribon Original | りぼんオリジナル | 1981 | 2006 | Shōjo | Bi-monthly | Shueisha |\n| Saikyō Jump | 最強ジャンプ | 2010 | | Shōnen | Bi-monthly | Shueisha |\n| Shōjo Comic | 少女コミック | 1968 | | Shōjo | Semi-monthly | Shogakukan |\n| Shōjo Friend | 少女フレンド | 1962 | 1996 | Shōjo | Monthly | Kodansha |\n| Shōnen Ai no Bigaku | 少年愛の美学 | 2003 | 2008 | Shotacon | Irregular | Shobukan |\n| Shōnen Ace | 月刊少年エース | 1994 | | Shōnen | Monthly | Kadokawa Shoten |\n| Shōnen Big Comic (formerly Weekly Shōnen Big Comic & Manga-kun) | 少年ビッグコミック (formerly 週刊少年ビッグコミック and マンガくん) | 1976 | 1987 | Shōnen | Bi-weekly | Shogakukan |\n| Shōnen Book | 少年ブック | 1958 | 1969 | Shōnen | Monthly | Shueisha |\n| Shōnen Magazine Edge | 少年マガジンエッジ | 2015 | | Shōnen | Monthly | Kodansha |\n| Shōnen Rival | 月刊少年ライバル | 2008 | 2014 | Shōnen | Monthly | Kodansha |\n| Shōnen Sekai | 少年世界 | 1895 | 1914 | Shōnen | Monthly | Hakubunkan |\n| Shōnen Sunday Super (formerly Shōnen Sunday Zokan) | 少年サンデー超 (formerly 週刊少年サンデー増刊号) | 1978 | | Shōnen | Monthly | Shogakukan |\n| Silky | シルキー | 1985 | 2013 | Josei | Bi-monthly | Hakusensha |\n| Super Jump | スーパージャンプ | 1986 | 2011 | Seinen | Bi-weekly | Shueisha |\n| Televi-Kun | てれびくん | 1976 | | Kodomo (male) | Monthly | Shogakukan< |\n| The Hana to Yume | ザ花とゆめ | 1999 | | Shōjo | Bi-monthly | Hakusensha |\n| Tsubomi | つぼみ | 2009 | 2012 | Unknown | Quarterly/Bi-monthly | Houbunsha |\n| Ultra Jump | ウルトラ ジャンプ | 1999 | | Seinen | Monthly | Shueisha |\n| V Jump | ブイジャンプ | 1993 | | Shōnen | Monthly | Shueisha |\n| Weekly Comic Bunch | 週刊コミックバンチ | 2001 | 2010 | Seinen | Weekly | Coamix/Shinchosha |\n| Weekly Manga Goraku | 週刊漫画ゴラク | 1968 | | Seinen | Weekly | Nihon Bungeisha |\n| Weekly Manga Sunday | 週刊漫画サンデー | 1959 | 2013 | Seinen | Weekly | Jitsugyo no Nihon Sha |\n| Weekly Manga Times | 週刊漫画TIMES | 1956 | | Seinen | Weekly | Houbunsha |\n| Weekly Morning (formerly Comic Morning) | 週刊モーニング (formerly コミックモーニング) | 1982 | | Seinen | Weekly | Kodansha |\n| Weekly Shōnen Champion | 週刊少年チャンピオン | 1969 | | Shōnen | Weekly | Akita Shoten |\n| Weekly Shōnen Jump (formerly Shōnen Jump) | 週刊少年ジャンプ (formerly 少年ジャンプ) | 1968 | | Shōnen | Weekly | Shueisha |\n| Weekly Shōnen Magazine | 週刊少年マガジン | 1959 | | Shōnen | Weekly | Kodansha |\n| Weekly Shōnen Sunday | 週刊少年サンデー | 1959 | | Shōnen | Weekly | Shogakukan |\n| Weekly Young Jump | 週刊ヤングジャンプ | 1979 | | Seinen | Weekly | Shueisha |\n| Weekly Young Sunday | 週刊ヤングサンデー | 1987 | 2008 | Seinen | Weekly | Shogakukan |\n| Wings | 月刊ウィングス | 1982 | | Shōjo | Monthly | Shinshokan |\n| You | ユー | 1980 | | Josei | Semi-monthly | Shueisha |\n| Young Ace | ヤングエース | 2009 | | Seinen | Monthly | Kadokawa Shoten |\n| Young Animal (formerly Animal House) | ヤングアニマル (formerly アニマルハウス) | 1989 | | Seinen | Bi-weekly | Hakusensha |\n| Young Animal Arashi | ヤングアニマル嵐 | 2000 | | Seinen | Monthly | Hakusensha |\n| Young Champion | ヤングチャンピオン | 1988 | | Seinen | Semi-monthly | Akita Shoten |\n| Young Comic | ヤングコミック | 1967 | | Seinen | Monthly | Shōnen Gahōsha |\n| Young Gangan | ヤングガンガン | 2004 | | Seinen | Semi-monthly | Square Enix |\n| Young King | ヤングキング | 1987 | | Seinen | Bi-weekly | Shōnen Gahōsha |\n| Young King OURs | ヤングキングアワーズ | 1993 | | Seinen | Monthly | Shōnen Gahōsha |\n| Young Magazine | 週刊ヤングマガジン | 1980 | | Seinen | Weekly | Kodansha |\n| Young Magazine Uppers | ヤングマガジンアッパーズ | 1998 | 2004 | Seinen | Semi-monthly | Kodansha |\n| Young You | ヤングユー | 1986 | 2005 | Josei | Monthly | Shueisha |\n| Yuri Shimai | 百合姉妹 | 2003 | 2004 | Unknown | Quarterly | Sun Magazine |\n| Zero Sum Ward | ゼロサムWARD | 2003 | 2015 | Josei | Bi-Monthly | Ichijinsha |\n| Zōkan Young Gangan | 増刊ヤングガンガン | 2007 | | Seinen | Irregular | Square Enix |" + }, + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the latex text format." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|c|c|}\n\\hline\n Magazine name & Japanese name & Year of First Issue & Year of Last Issue & Demographic & Frequency & Publisher \\\\\n\\hline\n 4-Koma Nano Ace & 4コマnanoエース & 2011 & 2013 & Shōnen/Seinen & Monthly & Kadokawa Shoten \\\\\n\\hline\n Altima Ace & アルティマエース & 2011 & 2012 & Shōjo & Bi-monthly & Kadokawa Shoten \\\\\n\\hline\n Aqua BL Kingdom & アクアBLキングダム & 2007 & 2013 & Josei & Bi-monthly & Oakla Publishing \\\\\n\\hline\n Aria & アリア & 2010 & & Shōjo/Josei & Monthly & Kodansha \\\\\n\\hline\n Asuka Ciel & あすかCIEL & 1993 & 1994 & Shōjo & Bi-monthly & Kadokawa Shoten \\\\\n\\hline\n Asuka Fantasy DX & 月刊ASUKAファンタジーDX & 1991 & 2000 & Shōjo & Monthly & Kadokawa Shoten \\\\\n\\hline\n Be x Boy & B-Boy & 1993 & & Shōjo & Monthly & Libre Publishing \\\\\n\\hline\n Be x Boy Gold & 小説b-Boy & 1997 & & Josei & Bi-monthly & Libre Publishing \\\\\n\\hline\n Be-Love & ビー·ラブ & 1980 & & Josei & Semi-monthly & Kodansha \\\\\n\\hline\n Bessatsu CoroCoro Comic & 別冊コロコロコミック & 1977 & & Kodomo (male) & Monthly & Shogakukan \\\\\n\\hline\n Bessatsu Hana to Yume & 別冊花とゆめ & 1977 & & Shōjo & Monthly & Hakusensha \\\\\n\\hline\n Bessatsu Margaret & 別冊マーガレット & 1964 & & Shōjo & Monthly & Shueisha \\\\\n\\hline\n Bessatsu Shōnen Magazine (2009) & 別冊少年マガジン & 2009 & & Shōnen & Monthly & Kodansha \\\\\n\\hline\n Betsucomi (formerly Bessatsu Shoujo Comic) & ベツコミ (別冊少女コミック) & 1970 & & Shōjo & Monthly & Shogakukan \\\\\n\\hline\n Big Comic Original & ビッグコミックオリジナル & 1972 & & Seinen & Semi-monthly & Shogakukan \\\\\n\\hline\n Big Comic Superior & ビッグコミックスペリオール & 1987 & & Seinen & Semi-monthly & Shogakukan \\\\\n\\hline\n Boy's Life & ボーイズライフ & 1963 & 1969 & Shōnen & Monthly & Shogakukan \\\\\n\\hline\n Champion Red & チャンピオンレッド & 2002 & & Shōnen & Monthly & Akita Shoten \\\\\n\\hline\n Champion Tap! & Champion タップ! & 2013 & & Shōnen & Weekly & Akita Shoten \\\\\n\\hline\n Chara & Charaの本棚 & 1994 & & Shōjo & Bi-monthly & Tokuma Shoten \\\\\n\\hline\n Charano! & キャラの! & 2006 & 2013 & Mixed & Bi-monthly & Hobby Japan \\\\\n\\hline\n Cheese! & チーズ! & 1996 & & Shōjo & Monthly & Shogakukan \\\\\n\\hline\n Chuchu & ちゅちゅ & 2005 & 2009 & Shōjo & Monthly & Shogakukan \\\\\n\\hline\n Ciao (formerly Weekly Shōjo Ciao) & ちゃお (週刊少女コミックちゃお) & 1976 & & Shōjo & Monthly & Shogakukan \\\\\n\\hline\n Ciel Tres Tres & シエル トレトレ & 2002 & 2014 & Unknown & Bi-monthly & Kadokawa Shoten \\\\\n\\hline\n Cocohana (formerly Chorus) & コーラス & 1994 & & Josei & Monthly & Shueisha \\\\\n\\hline\n COM & コム & 1967 & 1972 & Shōnen & Monthly & Osamu Tezuka \\\\\n\\hline\n Comi Digi + & 隔月コミデジ+ & 2006 & 2008 & Seinen & Bi-monthly & Flex Comix \\\\\n\\hline\n Comic Beam & コミックビーム & 1995 & & Seinen & Monthly & Enterbrain \\\\\n\\hline\n Comic Birz & 月刊コミックバーズ & 1996 & & Seinen & Monthly & Gentosha \\\\\n\\hline\n Comic Blade Brownie & コミックブレイドブラウニー & 2008 & 2009 & Shōnen/Shōjo & Issued once & Mag Garden \\\\\n\\hline\n Comic Blade Masamune & コミックブレイドマサムネ & 2002 & 2007 & Shōnen & Bi-monthly & Mag Garden \\\\\n\\hline\n Comic BomBom & コミックボンボン & 1981 & 2007 & Kodomo (male) & Monthly & Kodansha \\\\\n\\hline\n Comic Cue & コミックCUE & 1994 & 2003 & Unknown & Semi-annually & East Press \\\\\n\\hline\n Comic Earth Star & コミック アース・スター & 2011 & & Shōnen & Monthly & Earth Star Entertainment \\\\\n\\hline\n Comic Gum & コミックガム & 1996 & & Seinen & Monthly & Wani Books \\\\\n\\hline\n Comic High! & コミック·ハイ! & 2004 & & Seinen & Monthly & Futabasha \\\\\n\\hline\n Comic It & コミック イット & 2015 & 2018 (print version) & Josei & Monthly & Kadokawa ASCII Media Works \\\\\n\\hline\n Comic LO & 成年コミックエルオー & 2002 & & Lolicon & Monthly & Akane Shinsha \\\\\n\\hline\n Comic MegaStore & コミックメガストア & 2003 & 2013 & Unknown & Monthly & Core Magazine \\\\\n\\hline\n Comic MegaStore H & コミックメガストアH & 2003 & & Unknown & Monthly & Core Magazine \\\\\n\\hline\n Comic Rex & コミックレックス & 2005 & & Shōnen & Monthly & Ichijinsha \\\\\n\\hline\n Comic Rush & 月刊コミックラッシュ & 2004 & 2014 & Shōnen & Monthly & Jive \\\\\n\\hline\n Comic Sylph & シルフ & 2006 & 2017 (print version) & Shōjo & Monthly & ASCII Media Works \\\\\n\\hline\n Comic Valkyrie & コミックヴァルキリー & 2006 & & Seinen & Bi-monthly & Kill Time Communication \\\\\n\\hline\n Comic Yuri Hime & コミック百合姫 & 2005 & & Shōjo & Monthly & Ichijinsha \\\\\n\\hline\n Comic Yuri Hime S & コミック百合姫S & 2007 & 2010 & Shōnen/Seinen & Quarterly & Ichijinsha \\\\\n\\hline\n Comp Ace & コンプ エース & 2005 & & Shōnen & Monthly & Kadokawa Shoten \\\\\n\\hline\n Comptiq & コンプティーク & 1983 & & Seinen & Monthly & Kadokawa Shoten \\\\\n\\hline\n Cookie & クッキー & 1999 & & Shōjo/Josei & Bi-monthly & Shueisha \\\\\n\\hline\n CoroCoro Comic & 月刊コロコロコミック & 1977 & & Kodomo (male) & Monthly & Shogakukan \\\\\n\\hline\n CoroCoro Ichiban! & コロコロイチバン! & 2005 & & Kodomo (male) & Monthly & Shogakukan \\\\\n\\hline\n Craft & クラフト & 1999 & & Unknown & Quarterly & Taiyou Tosho \\\\\n\\hline\n Dengeki Comic Gao! & 月刊電撃コミックガオ! & 1992 & 2008 & Shōnen & Monthly & MediaWorks \\\\\n\\hline\n Dengeki Daioh & 月刊コミック電撃大王 & 1994 & & Shōnen & Monthly & ASCII Media Works \\\\\n\\hline\n Dengeki G's Comic & 電撃G'sコミック & 2014 & & Seinen & Monthly & ASCII Media Works \\\\\n\\hline\n Dengeki G's Festival! Comic & 電撃G's Festival! COMIC & 2007 & 2010 & Seinen & Irregular & ASCII Media Works \\\\\n\\hline\n Dengeki G's Magazine & 電撃G's magazine & 1992 & & Seinen & Monthly & ASCII Media Works \\\\\n\\hline\n Dengeki hp & 電撃hp & 1998 & 2007 & Seinen & Bi-monthly & MediaWorks \\\\\n\\hline\n Dengeki Kuro Maoh & 電撃黒「マ)王 & 2007 & 2010 & Seinen & Quarterly & ASCII Media Works \\\\\n\\hline\n Dengeki Maoh & 電撃「マ)王 & 2005 & & Seinen & Monthly & ASCII Media Works \\\\\n\\hline\n Dengeki Moeoh & 電撃萌王 & 2002 & & Seinen & Bi-monthly & ASCII Media Works \\\\\n\\hline\n Dengeki Teioh & 電撃帝王 & 2004 & 2006 & Seinen & Quarterly & ASCII Media Works \\\\\n\\hline\n Dessert & デザート & 1996 & & Shōjo/Josei & Monthly & Kodansha \\\\\n\\hline\n Dragon Age Pure & ドラゴンエイジピュア & 2006 & 2009 & Shōnen & Bi-monthly & Fujimi Shobo \\\\\n\\hline\n drap & ドラ & 2000 & & Unknown & Monthly & Independent \\\\\n\\hline\n Evening & イブニング & 2001 & & Seinen & Bi-weekly & Kodansha \\\\\n\\hline\n Feel Young & フィール·ヤング & 1989 & & Josei & Monthly & Shodensha \\\\\n\\hline\n For Mrs. & フォアミセス & 1986 & & Josei & Monthly & Akita Shoten \\\\\n\\hline\n Gangan Powered & ガンガンパワード & 2001 & 2009 & Shōnen & Monthly & Square Enix \\\\\n\\hline\n Garo & ガロ & 1964 & 2002 & Unknown & Monthly & Katsuichi Nagai \\\\\n\\hline\n Gessan (also referred to as Monthly Shōnen Sunday) & ゲッサン & 2009 & & Shōnen & Monthly & Shogakukan \\\\\n\\hline\n GFantasy & 月刊Gファンタジー & 1993 & & Mixed & Monthly & Square Enix \\\\\n\\hline\n Good! Afternoon & good!アフタヌーン & 2008 & & Seinen & Monthly & Kodansha \\\\\n\\hline\n Grand Jump & グランドジャンプ & 2011 & & Seinen & Semi-monthly & Shueisha \\\\\n\\hline\n Gundam Ace & ガンダムエース & 2001 & & Seinen & Monthly & Kadokawa Shoten \\\\\n\\hline\n GUSH & ガッシュ & 2003 & & Josei & Monthy & Kaiohsha \\\\\n\\hline\n Hana to Yume & 花とゆめ & 1974 & & Shōjo & Semi-monthly & Hakusensha \\\\\n\\hline\n Hanaoto & 花音 & 1994 & & Josei & Monthly & Houbunsha \\\\\n\\hline\n Jossie & ジョシィ & 1998 & 1998 & Josei & Irregular & Hakusensha \\\\\n\\hline\n Jump Square & ジャンプスクエア & 2007 & & Shōnen & Monthly & Shueisha \\\\\n\\hline\n June (manga magazine) & コミックJUNE & 1978 & 2004 & Unknown & Bi-monthly & Magazine Magazine \\\\\n\\hline\n Keitai Manga Town & ケータイまんがタウン & 2006 & & Unknown & Monthly & Futabasha \\\\\n\\hline\n Kerokero Ace & ケロケロエース & 2007 & 2013 & Shōnen & Monthly & Kadokawa Shoten \\\\\n\\hline\n Kiss & キス & 2007 & & Josei & Monthly & Kodansha \\\\\n\\hline\n LaLa & ララ & 1976 & & Shōjo & Monthly & Hakusensha \\\\\n\\hline\n LaLa DX & ララ デラックス & 1983 & & Shōjo & Bi-monthly & Hakusensha \\\\\n\\hline\n Lemon People & レモンピープル & 1981 & 1998 & Unknown & Monthly & Kubo Shoten \\\\\n\\hline\n Love Silky (formerly Silky) & ラブシルキー & 2013 & & Josei & Monthly & Hakusensha \\\\\n\\hline\n Lupin III Official Magazine & ルパン三世officialマガジン & 2004 & & Unknown & Quarterly & Futabasha \\\\\n\\hline\n Magazine Special & 少年マガジンSPECIAL & 1983 & 2017 & Shōnen & Monthly & Kodansha \\\\\n\\hline\n Magi-Cu & マジキュー & 2001 & 2007 & Shōnen/Seinen & Monthly & Enterbrain \\\\\n\\hline\n Manga 4-koma Kings Palette & まんが4コマKINGSぱれっと & 2006 & & Unknown & Monthly & Ichijinsha \\\\\n\\hline\n Manga Action (formerly Weekly Manga Action) & 週刊漫画アクション & 1967 & & Seinen & Bi-weekly & Futabasha \\\\\n\\hline\n Manga Burikko & 漫画ブリッコ & 1982 & 1986 & Lolicon & Monthly & Serufu Shuppan \\\\\n\\hline\n Manga Club & まんがくらぶ & 1987 & & Unknown & Monthly & Takeshobo \\\\\n\\hline\n Manga Club Original & まんがくらぶオリジナル & 1999 & & Unknown & Monthly & Takeshobo \\\\\n\\hline\n Manga Erotics F & マンガ·エロティクス·エフ & 2001 & 2014 & Mixed & Bi-monthly & Ohta Publishing \\\\\n\\hline\n Manga Goccha & マンガごっちゃ & 2010 & & Mixed & Unknown & Micro Magazine \\\\\n\\hline\n Manga Home & まんがホーム & 1987 & & Seinen & Monthly & Houbunsha \\\\\n\\hline\n Manga Life & まんがライフ & 1984 & & Unknown & Monthly & Takeshobo \\\\\n\\hline\n Manga Life Momo & まんがライフMOMO & 2003 & & Unknown & Monthly & Takeshobo \\\\\n\\hline\n Manga Life Original & まんがライフオリジナル & 1988 & & Unknown & Monthly & Takeshobo \\\\\n\\hline\n Manga Time & まんがタイム & 1981 & & Seinen & Monthly & Houbunsha \\\\\n\\hline\n Manga Time Family & まんがタイムファミリー & 1984 & & Seinen & Monthly & Houbunsha \\\\\n\\hline\n Manga Time Jumbo & まんがタイムジャンボ & 1995 & & Seinen & Monthly & Houbunsha \\\\\n\\hline\n Manga Time Kirara & まんがタイムきらら & 2002 & & Seinen & Monthly & Houbunsha \\\\\n\\hline\n Manga Time Kirara Carat & まんがタイムきららCarat & 2003 & & Seinen & Monthly & Houbunsha \\\\\n\\hline\n Manga Time Kirara Forward & まんがタイムきららフォワード & 2006 & & Seinen & Monthly & Houbunsha \\\\\n\\hline\n Manga Time Kirara Max & まんがタイムきららMAX & 2004 & & Seinen & Monthly & Houbunsha \\\\\n\\hline\n Manga Time Kirara Miracle & まんがタイムきららミラク & 2011 & & Seinen & Monthly & Houbunsha \\\\\n\\hline\n Manga Time Lovely & まんがタイムラブリー & 1993 & 2011 & Unknown & Monthly & Houbunsha \\\\\n\\hline\n Manga Time Original & まんがタイムオリジナル & 1982 & & Seinen & Monthly & Houbunsha \\\\\n\\hline\n Manga Time Special & まんがタイムスペシャル & 1992 & & Seinen & Monthly & Houbunsha \\\\\n\\hline\n Manga Town & まんがタウン & 2000 & & Unknown & Monthly & Futabasha \\\\\n\\hline\n Margaret & マーガレット & 1963 & & Shōjo & Bi-weekly & Shueisha \\\\\n\\hline\n Megami Magazine & メガミマガジン & 1999 & & Seinen & Monthly & Gakken \\\\\n\\hline\n Melody & メロディ & 1997 & & Josei & Bi-monthly & Hakusensha \\\\\n\\hline\n Monthly Afternoon & アフタヌーン & 1986 & & Seinen & Monthly & Kodansha \\\\\n\\hline\n Monthly Asuka & 月刊あすか & 1985 & & Shōjo & Monthly & Kadokawa Shoten \\\\\n\\hline\n Monthly Big Comic Spirits & 月刊!スピリッツ & 2009 & & Seinen & Monthly & Shogakukan \\\\\n\\hline\n Monthly Comic @Bunch (formerly Weekly Comic Bunch) & 月刊コミック＠バンチ & 2011 & & Seinen & Monthly & Shinchosha \\\\\n\\hline\n Monthly Comic Alive & 月刊コミックアライブ & 2006 & & Seinen & Monthly & Media Factory \\\\\n\\hline\n Monthly Comic Avarus (formerly Monthly Comic Blade Avarus) & 月刊コミックアヴァルス (formerly 月刊コミックブレイドアヴァルス) & 2007 & & Shōjo & Monthly & Mag Garden \\\\\n\\hline\n Monthly Comic Blade & 月刊コミックブレイド & 2002 & & Shōnen/Shōjo & Irregular & Mag Garden \\\\\n\\hline\n Monthly Comic Dragon & 月刊コミックドラゴン & 1992 & 2003 & Shōnen & Monthly & Fujimi Shobo \\\\\n\\hline\n Monthly Comic Flapper & コミックフラッパー & 1999 & & Seinen & Monthly & Media Factory \\\\\n\\hline\n Monthly Comic Garden & 月刊コミックガーデン & 2014 & & Shōnen/Shōjo & Monthly & Mag Garden \\\\\n\\hline\n Monthly Comic Gene & 月刊コミックジーン & 2011 & & Shōjo & Monthly & Media Factory \\\\\n\\hline\n Monthly Comic NORA & 月刊コミックNORA & 1986 & 1998 & Shōnen & Monthly & Gakken \\\\\n\\hline\n Monthly Comic Ryū & 月刊COMICリュウ & 1979 & & Seinen & Monthly & Tokuma Shoten \\\\\n\\hline\n Monthly Comic Zenon & 月刊コミックゼノン & 2010 & & Seinen & Monthly & Tokuma Shoten \\\\\n\\hline\n Monthly Comic Zero Sum & 月刊コミックZERO-SUM & 2002 & & Josei & Monthly & Ichijinsha \\\\\n\\hline\n Monthly Dragon Age (formerly Monthly Comic Dragon) & 月刊ドラゴンエイジ & 2003 & & Shōnen & Monthly & Fujimi Shobo \\\\\n\\hline\n Monthly Dragon Magazine & ドラゴンマガジン & 1988 & & Shōnen & Bi-monthly & Fujimi Shobo \\\\\n\\hline\n Monthly Gangan Joker & 月刊ガンガンJOKER & 2009 & & Shōnen & Monthly & Square Enix \\\\\n\\hline\n Monthly Gangan Wing & 月刊ガンガンWING & 1996 & 2009 & Shōnen & Monthly & Square Enix \\\\\n\\hline\n Monthly Ikki & 月刊IKKI & 2003 & 2014 & Seinen & Monthly & Shogakukan \\\\\n\\hline\n Monthly Magazine Z & 月刊マガジンZ & 1999 & 2009 & Seinen & Monthly & Kodansha \\\\\n\\hline\n Monthly Shōnen Champion (formerly Bessatsu Shōnen Champion) & 月刊少年チャンピオン & 1970 & & Shōnen & Monthly & Akita Shoten \\\\\n\\hline\n Monthly Shōnen Gangan & 月刊少年ガンガン & 1991 & & Shōnen & Monthly & Square Enix \\\\\n\\hline\n Monthly Shōnen Jump (formerly Bessatsu Shōnen Jump) & 月刊少年ジャンプ (formerly 別冊少年ジャンプ) & 1970 & 2007 & Shōnen & Monthly & Shueisha \\\\\n\\hline\n Monthly Shōnen Magazine (formerly Bessatsu Shōnen Magazine) & 月刊少年マガジン (formerly 別冊少年マガジン) & 1964 & & Shōnen & Monthly & Kodansha \\\\\n\\hline\n Monthly Shōnen Sirius & 月刊少年シリウス & 2005 & & Shōnen & Monthly & Kodansha \\\\\n\\hline\n Monthly Sunday Gene-X & 月刊サンデーGENE-X & 2000 & & Shōnen & Monthly & Shogakukan \\\\\n\\hline\n Morning 2 & モーニング·ツー & 2006 & & Seinen & Monthly & Kodansha \\\\\n\\hline\n Nakayoshi & なかよし & 1955 & & Shōjo & Monthly & Kodansha \\\\\n\\hline\n Newtype & ニュータイプ & 1985 & & Mixed & Monthly & Kadokawa Shoten \\\\\n\\hline\n Oh Super Jump & オースーパージャンプ & 2005 & 2011 & Seinen & Monthly & Shueisha \\\\\n\\hline\n Petit Comic & プチコミック & 1977 & & Josei & Monthly & Shogakukan \\\\\n\\hline\n Play Comic & プレイコミック & 1968 & & Seinen & Semi-monthly & Akita Shoten \\\\\n\\hline\n Princess & プリンセス & 1975 & & Shōjo & Monthly & Akita Shoten \\\\\n\\hline\n Princess Gold & プリンセスGOLD & 1979 & & Shōjo & Semi-monthly & Akita Shoten \\\\\n\\hline\n Pucchigumi & ぷっちぐみ & 2006 & & Kodomo (female) & Monthly & Shogakukan \\\\\n\\hline\n Ribon & りぼん & 1955 & & Shōjo & Monthly & Shueisha \\\\\n\\hline\n Ribon Original & りぼんオリジナル & 1981 & 2006 & Shōjo & Bi-monthly & Shueisha \\\\\n\\hline\n Saikyō Jump & 最強ジャンプ & 2010 & & Shōnen & Bi-monthly & Shueisha \\\\\n\\hline\n Shōjo Comic & 少女コミック & 1968 & & Shōjo & Semi-monthly & Shogakukan \\\\\n\\hline\n Shōjo Friend & 少女フレンド & 1962 & 1996 & Shōjo & Monthly & Kodansha \\\\\n\\hline\n Shōnen Ai no Bigaku & 少年愛の美学 & 2003 & 2008 & Shotacon & Irregular & Shobukan \\\\\n\\hline\n Shōnen Ace & 月刊少年エース & 1994 & & Shōnen & Monthly & Kadokawa Shoten \\\\\n\\hline\n Shōnen Big Comic (formerly Weekly Shōnen Big Comic \\& Manga-kun) & 少年ビッグコミック (formerly 週刊少年ビッグコミック and マンガくん) & 1976 & 1987 & Shōnen & Bi-weekly & Shogakukan \\\\\n\\hline\n Shōnen Book & 少年ブック & 1958 & 1969 & Shōnen & Monthly & Shueisha \\\\\n\\hline\n Shōnen Magazine Edge & 少年マガジンエッジ & 2015 & & Shōnen & Monthly & Kodansha \\\\\n\\hline\n Shōnen Rival & 月刊少年ライバル & 2008 & 2014 & Shōnen & Monthly & Kodansha \\\\\n\\hline\n Shōnen Sekai & 少年世界 & 1895 & 1914 & Shōnen & Monthly & Hakubunkan \\\\\n\\hline\n Shōnen Sunday Super (formerly Shōnen Sunday Zokan) & 少年サンデー超 (formerly 週刊少年サンデー増刊号) & 1978 & & Shōnen & Monthly & Shogakukan \\\\\n\\hline\n Silky & シルキー & 1985 & 2013 & Josei & Bi-monthly & Hakusensha \\\\\n\\hline\n Super Jump & スーパージャンプ & 1986 & 2011 & Seinen & Bi-weekly & Shueisha \\\\\n\\hline\n Televi-Kun & てれびくん & 1976 & & Kodomo (male) & Monthly & Shogakukan< \\\\\n\\hline\n The Hana to Yume & ザ花とゆめ & 1999 & & Shōjo & Bi-monthly & Hakusensha \\\\\n\\hline\n Tsubomi & つぼみ & 2009 & 2012 & Unknown & Quarterly/Bi-monthly & Houbunsha \\\\\n\\hline\n Ultra Jump & ウルトラ ジャンプ & 1999 & & Seinen & Monthly & Shueisha \\\\\n\\hline\n V Jump & ブイジャンプ & 1993 & & Shōnen & Monthly & Shueisha \\\\\n\\hline\n Weekly Comic Bunch & 週刊コミックバンチ & 2001 & 2010 & Seinen & Weekly & Coamix/Shinchosha \\\\\n\\hline\n Weekly Manga Goraku & 週刊漫画ゴラク & 1968 & & Seinen & Weekly & Nihon Bungeisha \\\\\n\\hline\n Weekly Manga Sunday & 週刊漫画サンデー & 1959 & 2013 & Seinen & Weekly & Jitsugyo no Nihon Sha \\\\\n\\hline\n Weekly Manga Times & 週刊漫画TIMES & 1956 & & Seinen & Weekly & Houbunsha \\\\\n\\hline\n Weekly Morning (formerly Comic Morning) & 週刊モーニング (formerly コミックモーニング) & 1982 & & Seinen & Weekly & Kodansha \\\\\n\\hline\n Weekly Shōnen Champion & 週刊少年チャンピオン & 1969 & & Shōnen & Weekly & Akita Shoten \\\\\n\\hline\n Weekly Shōnen Jump (formerly Shōnen Jump) & 週刊少年ジャンプ (formerly 少年ジャンプ) & 1968 & & Shōnen & Weekly & Shueisha \\\\\n\\hline\n Weekly Shōnen Magazine & 週刊少年マガジン & 1959 & & Shōnen & Weekly & Kodansha \\\\\n\\hline\n Weekly Shōnen Sunday & 週刊少年サンデー & 1959 & & Shōnen & Weekly & Shogakukan \\\\\n\\hline\n Weekly Young Jump & 週刊ヤングジャンプ & 1979 & & Seinen & Weekly & Shueisha \\\\\n\\hline\n Weekly Young Sunday & 週刊ヤングサンデー & 1987 & 2008 & Seinen & Weekly & Shogakukan \\\\\n\\hline\n Wings & 月刊ウィングス & 1982 & & Shōjo & Monthly & Shinshokan \\\\\n\\hline\n You & ユー & 1980 & & Josei & Semi-monthly & Shueisha \\\\\n\\hline\n Young Ace & ヤングエース & 2009 & & Seinen & Monthly & Kadokawa Shoten \\\\\n\\hline\n Young Animal (formerly Animal House) & ヤングアニマル (formerly アニマルハウス) & 1989 & & Seinen & Bi-weekly & Hakusensha \\\\\n\\hline\n Young Animal Arashi & ヤングアニマル嵐 & 2000 & & Seinen & Monthly & Hakusensha \\\\\n\\hline\n Young Champion & ヤングチャンピオン & 1988 & & Seinen & Semi-monthly & Akita Shoten \\\\\n\\hline\n Young Comic & ヤングコミック & 1967 & & Seinen & Monthly & Shōnen Gahōsha \\\\\n\\hline\n Young Gangan & ヤングガンガン & 2004 & & Seinen & Semi-monthly & Square Enix \\\\\n\\hline\n Young King & ヤングキング & 1987 & & Seinen & Bi-weekly & Shōnen Gahōsha \\\\\n\\hline\n Young King OURs & ヤングキングアワーズ & 1993 & & Seinen & Monthly & Shōnen Gahōsha \\\\\n\\hline\n Young Magazine & 週刊ヤングマガジン & 1980 & & Seinen & Weekly & Kodansha \\\\\n\\hline\n Young Magazine Uppers & ヤングマガジンアッパーズ & 1998 & 2004 & Seinen & Semi-monthly & Kodansha \\\\\n\\hline\n Young You & ヤングユー & 1986 & 2005 & Josei & Monthly & Shueisha \\\\\n\\hline\n Yuri Shimai & 百合姉妹 & 2003 & 2004 & Unknown & Quarterly & Sun Magazine \\\\\n\\hline\n Zero Sum Ward & ゼロサムWARD & 2003 & 2015 & Josei & Bi-Monthly & Ichijinsha \\\\\n\\hline\n Zōkan Young Gangan & 増刊ヤングガンガン & 2007 & & Seinen & Irregular & Square Enix \\\\\n\\hline\n\\end{tabular}" + }, + { + "from": "human", + "value": "Help me finish a table-to-text task. You need to produce a one-sentence description of the highlighted table cells according to the provided table and its related information.\nTable title: List of manga magazines\nSection title: Published in Japan\nTable-related text: Most recent issue published only online The following have full details on the magazine entry:" + }, + { + "from": "gpt", + "value": "Bimonthly Comi Digi + (隔月コミデジ+) was a Japanese seinen manga magazine published by Flex Comix." + } + ] + }, + { + "id": "table_instructV_multi_round_21673", + "image": "table_instructV/images/TabFact_1-23963781-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| name | nationality | position | athletica career | appearances | starts | minutes | goals | assists |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| eniola aluko | england | fw | 2009 - | 19 | 17 | 1503 | 6 | 4 |\n| lori chalupny | united states | mf | 2009 - | 19 | 19 | 1665 | 2 | 1 |\n| amanda cinalli | united states | fw | 2009 | 13 | 13 | 1007 | 2 | 1 |\n| niki cross | united states | df | 2009 | 12 | 8 | 646 | 1 | 0 |\n| daniela | brazil | mf | 2009 | 4 | 4 | 318 | 2 | 0 |\n| madelaine edlund | sweden | fw | 2010 - | 0 | 0 | 0 | 0 | 0 |\n| elaine | brazil | mf | 2010 - | 0 | 0 | 0 | 0 | 0 |\n| tina ellertson | united states | df | 2009 - | 21 | 21 | 1838 | 0 | 0 |\n| kendall fletcher | united states | df | 2009 - | 17 | 16 | 1428 | 0 | 3 |\n| francielle | brazil | mf | 2009 | 6 | 3 | 323 | 0 | 0 |\n| sheree gray | united states | df | 2009 | 5 | 1 | 144 | 0 | 0 |\n| kerri hanks | united states | fw | 2009 | 10 | 6 | 573 | 1 | 1 |\n| erin kane | united states | gk | 2009 | 0 | 0 | 0 | 0 | 0 |\n| sara larsson | sweden | df | 2009 | 15 | 12 | 1047 | 0 | 0 |\n| stephanie logterman | united states | df | 2009 - | 14 | 8 | 896 | 0 | 0 |\n| jillian loyden | united states | gk | 2009 - | 3 | 3 | 270 | 0 | 0 |\n| kia mcneill | united states | df | 2009 - | 20 | 18 | 1469 | 0 | 0 |\n| ashlee pistorius | united states | fw | 2009 | 5 | 0 | 71 | 0 | 0 |\n| hope solo | united states | gk | 2009 - | 18 | 18 | 1620 | 0 | 0 |\n| lisa stoia | united states | mf | 2009 | 12 | 9 | 863 | 0 | 0 |\n| melissa tancredi | canada | fw | 2009 | 15 | 10 | 914 | 0 | 2 |\n| lydia vandenbergh | united states | mf | 2009 | 0 | 0 | 0 | 0 | 0 |\n| sarah walsh | australia | fw | 2009 | 7 | 3 | 340 | 0 | 1 |\n| erin walter | united states | mf | 2009 | 6 | 0 | 192 | 0 | 0 |\n| elise weber | united states | df | 2009 - | 19 | 15 | 1369 | 1 | 0 |\n| christie welsh | united states | fw | 2009 | 12 | 8 | 662 | 3 | 0 |" + }, + { + "from": "human", + "value": "Determine the relationship between the table named 'all - time saint louis athletica roster' and the statement. Whether the table confirms or disputes the given statement? Show your final answer in the JSON format {\"answer\": \"\"}.\nstatement: the nationality of the player associated with 0 minutes , the position of mid - fielder , and an athletica career that began in 2009 is the united states" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table confirms the validity of the statement. Therefore, the final answer: {\"answer\": \"confirms\"}." + }, + { + "from": "human", + "value": "Based on the table image about 'all - time saint louis athletica roster' and the subsequent statement, determine if the table confirms or challenges the subsequent statement. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nstatement: the nationality associated with 0 minutes , position of mf , and an athletica career of 2010 is the united states" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table challenges the validity of the statement. Therefore, the final answer: {\"answer\": \"challenges\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_21772", + "image": "table_instructV/images/Rotowire_train_table_538.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pacers | Indiana | 102 | 32 | 28 | 23 | 19 | 12 | 46 | 9 | 43 | 84 | 33 | 34 | 32 | | | | |\n| Heat | Miami | 98 | 22 | 31 | 22 | 23 | 18 | 54 | 8 | 42 | 69 | 28 | 32 | 35 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| Paul George | 37 | 28 | 10 | 1 | 9-19 | 47% | 1-4 | 25% | 9-9 | 100% | 1 | 2 | 1 | 0 | 10 | 2 | F | Indiana |\n| Myles Turner | 30 | 15 | 8 | 1 | 4-14 | 29% | 0-3 | 0% | 7-7 | 100% | 0 | 1 | 1 | 5 | 3 | 3 | C | Indiana |\n| Thaddeus Young | 38 | 13 | 5 | 1 | 5-9 | 56% | 0-0 | 0% | 3-6 | 50% | 0 | 0 | 0 | 1 | 4 | 1 | F | Indiana |\n| Jeff Teague | 31 | 12 | 5 | 4 | 4-11 | 36% | 1-1 | 100% | 3-3 | 100% | 0 | 2 | 1 | 1 | 4 | 2 | G | Indiana |\n| Rodney Stuckey | 20 | 9 | 2 | 3 | 3-6 | 50% | 1-1 | 100% | 2-2 | 100% | 0 | 2 | 0 | 0 | 2 | 1 | N/A | Indiana |\n| CJ Miles | 30 | 8 | 5 | 0 | 3-8 | 38% | 1-5 | 20% | 1-1 | 100% | 0 | 0 | 0 | 0 | 5 | 3 | G | Indiana |\n| Rakeem Christmas | 18 | 7 | 5 | 0 | 3-5 | 60% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 3 | 2 | 2 | N/A | Indiana |\n| Monta Ellis | 19 | 6 | 1 | 2 | 2-6 | 33% | 1-1 | 100% | 1-2 | 50% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Indiana |\n| Glenn Robinson III | 13 | 4 | 3 | 0 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 0 | 3 | 0 | N/A | Indiana |\n| Lavoy Allen | 3 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 0 | N/A | Indiana |\n| Kevin Seraphin | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Aaron Brooks | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Al Jefferson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Hassan Whiteside | 34 | 26 | 21 | 0 | 11-21 | 52% | 0-0 | 0% | 4-5 | 80% | 0 | 2 | 1 | 10 | 11 | 2 | C | Miami |\n| Dion Waiters | 36 | 20 | 8 | 6 | 8-18 | 44% | 3-7 | 43% | 1-3 | 33% | 0 | 1 | 0 | 0 | 8 | 2 | G | Miami |\n| Wayne Ellington | 27 | 19 | 1 | 2 | 7-13 | 54% | 5-11 | 46% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Miami |\n| James Johnson | 32 | 14 | 4 | 0 | 6-16 | 38% | 1-5 | 20% | 1-1 | 100% | 0 | 2 | 0 | 0 | 4 | 4 | N/A | Miami |\n| Josh Richardson | 37 | 9 | 8 | 0 | 2-7 | 29% | 0-3 | 0% | 5-6 | 83% | 3 | 1 | 1 | 5 | 3 | 3 | G | Miami |\n| Rodney McGruder | 19 | 4 | 3 | 3 | 2-5 | 40% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 1 | 2 | 1 | 3 | F | Miami |\n| Willie Reed | 14 | 4 | 6 | 2 | 2-3 | 67% | 0-0 | 0% | 0-1 | 0% | 1 | 0 | 1 | 2 | 4 | 2 | N/A | Miami |\n| Tyler Johnson | 25 | 2 | 2 | 5 | 1-9 | 11% | 0-4 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 2 | N/A | Miami |\n| Luke Babbitt | 11 | 0 | 0 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | F | Miami |\n| Okaro White | 5 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Miami |\n| Udonis Haslem | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Goran Dragic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |" + }, + { + "from": "human", + "value": "Examine the tables showing the statistics of an NBA basketball game played by Pacers and Heat on 03/12/2017. Use the information to compose an in-depth summary of the game's events." + }, + { + "from": "gpt", + "value": "The Indiana Pacers defeated the Miami Heat, 102-98, at Bankers Life Fieldhouse on Sunday. In a battle between two teams battling for a playoff spot in the east, Indiana were able to prevail with a much needed victory. They led for the majority of this game, as Miami never led by more than four points and only held the lead for a total of five minutes. Free-throw shooting was the decisive statistic, with Indiana going 27-of-32 from the charity stripe, while Miami could only go 11-of-16. Fastbreak points was also a glaring difference, with the Pacers winning that battle, 160. The Heat (32-35) had to play this game without Goran Dragic (eye), as they simply did n't have enough bullets to beat this hungry Pacers team. Hassan Whiteside did all he could for Miami, as he totaled 26 points and 21 rebounds in the defeat. Dion Waiters was the only other starter in double figures, as he collected 20 points, eight rebounds and six assists. Wayne Ellington led the bench, as he dropped 19 points on 7-of-13 shooting. James Johnson also played well off the bench, providing 14 points and four rebounds. The Heat will be off until Wednesday, when they host the struggling New Orleans Pelicans for their next game. The Pacers (34-32) have been dominant at home all season, with this win giving them their 23rd home victory of the year. Paul George was the player of the game, tallying 28 points and 10 rebounds. Myles Turner finished with 15 points and eight rebounds. Jeff Teague accrued 12 points, five rebounds and four assists. Thaddeus Young was the only other Pacer in double figures, as he amassed 13 points and five rebounds. Indiana 's next game is on Tuesday in a road matchup against the New York Knicks." + } + ] + }, + { + "id": "table_instructV_multi_round_21857", + "image": "table_instructV/images/Rotowire_train_table_3254.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kings | Sacramento | 102 | 24 | 27 | 24 | 27 | 22 | 41 | 10 | 49 | 78 | 25 | 28 | 53 | | | | |\n| Lakers | Los Angeles | 92 | 24 | 27 | 23 | 18 | 19 | 49 | 11 | 42 | 62 | 27 | 21 | 60 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Kings | | | | | | | | | | | | | | | | | | |\n| Omri Casspi | 37 | 26 | 9 | 6 | 7-14 | 50% | 2-5 | 40% | 10-13 | 77% | 0 | 2 | 0 | 0 | 9 | 2 | F | Sacramento |\n| Derrick Williams | 29 | 20 | 1 | 2 | 6-12 | 50% | 1-4 | 25% | 7-9 | 78% | 1 | 1 | 0 | 0 | 1 | 1 | N/A | Sacramento |\n| Carl Landry | 19 | 14 | 3 | 0 | 5-7 | 71% | 0-0 | 0% | 4-4 | 100% | 0 | 0 | 0 | 0 | 3 | 2 | F | Sacramento |\n| Ray McCallum | 28 | 12 | 5 | 3 | 5-11 | 46% | 0-1 | 0% | 2-2 | 100% | 1 | 2 | 0 | 1 | 4 | 2 | G | Sacramento |\n| Andre Miller | 27 | 10 | 2 | 6 | 5-7 | 71% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 2 | 0 | 2 | 2 | N/A | Sacramento |\n| Jason Thompson | 32 | 10 | 10 | 2 | 4-8 | 50% | 0-0 | 0% | 2-4 | 50% | 0 | 2 | 3 | 2 | 8 | 2 | C | Sacramento |\n| Ben McLemore | 31 | 8 | 5 | 2 | 2-7 | 29% | 1-4 | 25% | 3-4 | 75% | 1 | 2 | 0 | 1 | 4 | 0 | G | Sacramento |\n| Ryan Hollins | 16 | 2 | 5 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 1 | 4 | 1 | N/A | Sacramento |\n| Nik Stauskas | 21 | 0 | 1 | 1 | 0-4 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 1 | 2 | N/A | Sacramento |\n| David Stockton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Reggie Evans | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Rudy Gay | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Lakers | | | | | | | | | | | | | | | | | | |\n| Jordan Clarkson | 47 | 23 | 5 | 6 | 10-21 | 48% | 2-5 | 40% | 1-2 | 50% | 5 | 3 | 1 | 0 | 5 | 2 | G | Los Angeles |\n| Jordan Hill | 28 | 18 | 6 | 4 | 9-19 | 47% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 6 | 3 | F | Los Angeles |\n| Jabari Brown | 46 | 18 | 2 | 7 | 6-17 | 35% | 1-6 | 17% | 5-6 | 83% | 0 | 1 | 0 | 0 | 2 | 5 | G | Los Angeles |\n| Tarik Black | 24 | 8 | 7 | 0 | 4-6 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 3 | 4 | 4 | C | Los Angeles |\n| Carlos Boozer | 20 | 8 | 10 | 1 | 4-10 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 1 | 5 | 5 | 4 | N/A | Los Angeles |\n| Vander Blue | 26 | 7 | 2 | 0 | 3-7 | 43% | 1-2 | 50% | 0-2 | 0% | 2 | 2 | 0 | 0 | 2 | 2 | N/A | Los Angeles |\n| Ed Davis | 22 | 7 | 14 | 0 | 3-10 | 30% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 9 | 5 | 3 | N/A | Los Angeles |\n| Ryan Kelly | 27 | 3 | 3 | 1 | 1-6 | 17% | 0-2 | 0% | 1-1 | 100% | 1 | 1 | 1 | 0 | 3 | 3 | F | Los Angeles |\n| Wesley Johnson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Wayne Ellington | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Robert Sacre | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Jeremy Lin | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Nick Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |" + }, + { + "from": "human", + "value": "Given a table containing data statistics of an NBA basketball game between Kings and Lakers on 13/04/2015, generate a summary for this game according to the given table." + }, + { + "from": "gpt", + "value": "The Sacramento Kings (28-53) defeated the Los Angeles Lakers (21-60) 102-92 on Monday at Sleep Train Arena in Sacramento. With both teams already eliminated from the playoffs, this game was more about getting a look at players in anticipation of next season. It also cemented the Lakers with the fourth worst record in the league, meaning they 'll have the fourth best odds to win the first overall pick in the 2015 NBA Draft. The Kings won this game in the fourth quarter, where they went on a huge run to out-score the Lakers 27-18. The Kings also secured the shooting advantage, finishing at 49 percent from the field, while the Lakers ended at 42 percent. With DeMarcus Cousins and Rudy Gay being shut down for the rest of the season, Omri Casspi continued to take over as the leader of this team. He went off for a game-high of 26 points (7-14 FG, 2-5 3Pt, 10-13 FT), while nearly notching a triple-double with nine rebounds and six assists as well. Over his last five games, he 's averaging an impressive 22 points, 6 rebounds and 4 assists. Coming off the bench, Derrick Williams had a strong showing as well. He went 6-for-12 from the field and 1-for-4 from the three-point line to score 20 points over 29 minutes. Like Casspi, he 's been relied upon to pick up the slack without Cousins and Gay, as he 's averaged 16 points over his last five games. Jason Thompson came up with a 10-point (4-8 FG, 2-4 FT), 10-rebound double-double, while also recording three blocked shots. It marked the third time over his last four games reaching double-digit rebounds. Both Carl Landry and Ray McCallum reached double figures as well. Landry had 14 points (5-7 FG, 4-4 FT) and three rebounds over 19 minutes, while McCallum added 12 points (5-11 FG, 0-1 3Pt, 2-2 FT) and five rebounds over 28 minutes. Rookie Jordan Clarkson was again one of the few Lakers to have some success. He went 10-for-21 from the field and 2-for-5 from the three-point line to score a team-high of 23 points, to go along with five rebounds, six assists and five steals. Clarkson has already earned himself a role for this team next year, but he continues to improve his numbers late in the season, averaging 22 points and 7 assists over his last five games. Jabari Brown also played well in the loss, finishing with 18 points (6-17 FG, 1-6 3Pt, 5-6 FT) and seven assists over 46 minutes. It marked his third straight game with 18 points or more, as he 's pushed his season averages to 11 points and 2 assists over 18 games with the Lakers. The only other Laker in double figures was Jordan Hill. Hill posted 18 points (9-19 FG) of his own, while adding six rebounds and four assists. The Lakers had only seven players available for this game, as they are dealing with a ton of injuries. These two teams will play each other again on Wednesday in each team 's final game of the season." + } + ] + }, + { + "id": "table_instructV_multi_round_21877", + "image": "table_instructV/images/ToTTo_train_table_26801.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Year | Film | Role | Language | Notes |\n| --- | --- | --- | --- | --- |\n| 2012 | Vazhakku Enn 18/9 | Jyothi | Tamil | National Film Award for Best Feature Film in South 2nd South Indian International Movie Awards For Best Debut Actress & Best Supporting actress 7th Vijay Awards For Best Debut Actress & Best Supporting actress |\n| 2012 | Ballad of Rustom | Unknown | Hindi-English | |\n| 2014 | Chirodini Tumi Je Amar 2 | Jyoti | Bengali | |\n| 2014 | TRP Aru... | Pallavi | Assamese | |\n| 2015 | Manjhi - The Mountain Man | Lauki | Hindi | |\n| 2015 | Pareshaanpur | Radhika | Hindi | |\n| 2016 | Kothanodi- The river of Fables | Keteki | Assamese | |\n| 2016 | Bokul | Bokul | Assamese | \"Best actor female\" award in Patna International Film Festival 2016 Best Artist award in 1st Sailadhar Baruah film awards 2016. |\n| 2016 | Akira | Anna | Hindi | |\n| 2016 | Udal | Unknown | Malayalam | |\n| 2017 | Purab Ki Awaaz | Kanaklata Barua and Urmila | Hindi, Assamese | |\n| 2017 | Antareen | Torali | Assamese | Won the Best actress in Prag Cine Awards North-East 2016 and Best Artiste in 1st Sailadhar Baruah awards 2016 |\n| 2017 | Chakallashpur ayush | Champa | Hindi | |\n| 2017 | Viraam | Matun | Hindi | |\n| 2018 | Pad Man | Savitri | Hindi | |" + }, + { + "from": "human", + "value": "Analyzing this Wikipedia table titled 'Urmila Mahanta'. It is extracted from a section titled 'Films'.\nBased on the table information, craft a sentence that describes the highlighted cells." + }, + { + "from": "gpt", + "value": "In 2014, Urmila Mahanta made her debut in the Bengali language with the film, Chirodini Tumi Je Amar 2, and in Assamese with the film, TRP Aru." + } + ] + }, + { + "id": "table_instructV_multi_round_21968", + "image": "table_instructV/images/Rotowire_train_table_2728.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kings | Sacramento | 101 | 29 | 28 | 23 | 21 | 21 | 48 | 21 | 47 | 72 | 43 | 23 | 45 | | | | |\n| Hornets | Charlotte | 91 | 22 | 24 | 23 | 22 | 16 | 36 | 13 | 40 | 81 | 33 | 29 | 38 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Kings | | | | | | | | | | | | | | | | | | |\n| Rudy Gay | 37 | 33 | 9 | 4 | 11-20 | 55% | 2-5 | 40% | 9-10 | 90% | 2 | 3 | 0 | 3 | 6 | 3 | F | Sacramento |\n| Derrick Williams | 25 | 13 | 2 | 2 | 4-8 | 50% | 1-4 | 25% | 4-6 | 67% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Sacramento |\n| Omri Casspi | 33 | 10 | 5 | 2 | 4-6 | 67% | 1-2 | 50% | 1-3 | 33% | 0 | 3 | 0 | 0 | 5 | 2 | F | Sacramento |\n| Ben McLemore | 27 | 9 | 0 | 2 | 3-7 | 43% | 2-4 | 50% | 1-1 | 100% | 1 | 2 | 0 | 0 | 0 | 3 | G | Sacramento |\n| Jason Thompson | 27 | 8 | 8 | 1 | 4-8 | 50% | 0-0 | 0% | 0-1 | 0% | 0 | 2 | 2 | 0 | 8 | 2 | C | Sacramento |\n| Ray McCallum | 23 | 8 | 4 | 1 | 4-9 | 44% | 0-1 | 0% | 0-0 | 0% | 0 | 4 | 1 | 2 | 2 | 2 | G | Sacramento |\n| Nik Stauskas | 16 | 8 | 1 | 0 | 2-6 | 33% | 2-4 | 50% | 2-2 | 100% | 1 | 1 | 0 | 0 | 1 | 1 | N/A | Sacramento |\n| Andre Miller | 25 | 7 | 3 | 7 | 3-6 | 50% | 1-1 | 100% | 0-0 | 0% | 0 | 2 | 0 | 1 | 2 | 0 | N/A | Sacramento |\n| Reggie Evans | 21 | 4 | 16 | 2 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 4 | 0 | 5 | 11 | 2 | N/A | Sacramento |\n| Carl Landry | 7 | 1 | 0 | 0 | 0-3 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Sacramento |\n| Ryan Hollins | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Gerald Henderson | 31 | 20 | 5 | 0 | 8-16 | 50% | 0-1 | 0% | 4-5 | 80% | 1 | 3 | 0 | 2 | 3 | 0 | G | Charlotte |\n| Kemba Walker | 31 | 18 | 5 | 2 | 7-18 | 39% | 1-5 | 20% | 3-3 | 100% | 4 | 2 | 0 | 0 | 5 | 1 | G | Charlotte |\n| Al Jefferson | 35 | 17 | 5 | 2 | 8-18 | 44% | 0-0 | 0% | 1-1 | 100% | 2 | 1 | 1 | 0 | 5 | 3 | C | Charlotte |\n| Michael Kidd-Gilchrist | 35 | 13 | 7 | 0 | 5-9 | 56% | 0-0 | 0% | 3-4 | 75% | 1 | 3 | 1 | 3 | 4 | 2 | F | Charlotte |\n| Marvin Williams | 25 | 9 | 2 | 1 | 3-8 | 38% | 3-4 | 75% | 0-0 | 0% | 1 | 0 | 0 | 1 | 1 | 4 | N/A | Charlotte |\n| Mo Williams | 31 | 9 | 1 | 4 | 3-15 | 20% | 2-8 | 25% | 1-1 | 100% | 0 | 1 | 0 | 0 | 1 | 4 | N/A | Charlotte |\n| Bismack Biyombo | 13 | 2 | 3 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 0 | 3 | 2 | N/A | Charlotte |\n| Lance Stephenson | 19 | 2 | 2 | 3 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 0 | 1 | 1 | 1 | N/A | Charlotte |\n| Cody Zeller | 19 | 1 | 6 | 4 | 0-3 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 6 | 1 | F | Charlotte |\n| PJ Hairston | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Brian Roberts | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Jason Maxiell | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Jeff Taylor | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |" + }, + { + "from": "human", + "value": "Examine the data records in this picture, which depict an NBA game held on 20/03/2015. Use these data statistics to generate a comprehensive summary of the game." + }, + { + "from": "gpt", + "value": "The Sacramento Kings (23-45), the league’s worst defense since the All-Star break, defeated the Charlotte Hornets (29-38), 101-91. DeMarcus Cousins warmed up prior to the game, but ultimately decided not to play for the second straight game with an ailing calf. Rudy Gay nearly accounted for a third of the team’s points, scoring 33 to go with nine rebounds, four assists, two steals and two three-pointers in 37 minutes. Omri Casspi replaced Ryan Hollins in the starting lineup, compiling 10 points, five rebounds, two assists and one three-pointer in 33 minutes. Reggie Evans grabbed 16 rebounds in 21 minutes, helping the Kings end a four-game losing streak. Derrick Williams threw down a monster dunk on Bismack Biyombo, scoring 13 points in 25 minutes off the bench. The Hornets fell half a game behind the Boston Celtics and Indiana Pacers for the final spot in the Eastern Conference playoff push, losing their third straight game. Kemba Walker was inserted into the starting lineup after coming off the bench the previous four games. Walker and the man he replaced, Mo Williams, were each assessed a technical foul. Even worse, Williams missed his first 11 shots and finished 3-of-15 from the field for nine points. Walker scored 18 points and accumulated four steals in 31 minutes. Michael Kidd-Gilchrist blocked a shot for the seventh straight game. The Kings play their fourth straight home game when they face the Washington Wizards on Sunday. The Hornets begin a stretch of five games in seven nights Sunday when they take on the Minnesota Timberwolves." + } + ] + }, + { + "id": "table_instructV_multi_round_22047", + "image": "table_instructV/images/TABMWP_5732.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| | Butterfly | Batwing |\n| --- | --- | --- |\n| Cotton | 3 | 4 |\n| Suede | 4 | 4 |" + }, + { + "from": "human", + "value": "Can you extract and list the values from these specific rows or columns in the table?\nthe 3rd row,\nthe 1st column,\nthe 3rd column,\nthe 2nd row,\nthe 2nd column,\nthe 1st row,\n\nThe cells of every row or column should be presented in the JSON format of {\"row_id/column_id\":\"\", \"cell_list\":\"\"}, e.g., {\"row_id\":\"3\", \"cell_list\": [\"xxx\", \"yyy\", \"zzz\"]}." + }, + { + "from": "gpt", + "value": "The extracted row or column contents are listed below.\nFor the 3rd row: {\"row_id\": \"3\", \"cell_list\": ['Suede', '4', '4']}\nFor the 1st column: {\"column_id\": \"1\", \"cell_list\": ['', 'Cotton', 'Suede']}\nFor the 3rd column: {\"column_id\": \"3\", \"cell_list\": ['Batwing', '4', '4']}\nFor the 2nd row: {\"row_id\": \"2\", \"cell_list\": ['Cotton', '3', '4']}\nFor the 2nd column: {\"column_id\": \"2\", \"cell_list\": ['Butterfly', '3', '4']}\nFor the 1st row: {\"row_id\": \"1\", \"cell_list\": ['', 'Butterfly', 'Batwing']}" + }, + { + "from": "human", + "value": "Solve this math word problem based on the given table image. Format the ultimate answer as a JSON, using the structure {\"answer\": \"\"}.\nJennifer designs bow ties for a local boutique store. The store manager counted the ties currently on display, tracking them by material and shape. What is the probability that a randomly selected bow tie is made of cotton and is shaped like a batwing? Simplify any fractions." + }, + { + "from": "gpt", + "value": "Let A be the event \"the bow tie is made of cotton\" and B be the event \"the bow tie is shaped like a batwing\".\nTo find the probability that a bow tie is made of cotton and is shaped like a batwing, first identify the sample space and the event.\nThe outcomes in the sample space are the different bow ties. Each bow tie is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the bow tie is made of cotton and is shaped like a batwing\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the bow tie is made of cotton and is shaped like a batwing\", so look at the table to see how many bow ties are made of cotton and are shaped like a batwing.\nThe number of bow ties that are made of cotton and are shaped like a batwing is 4.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of bow ties.\n3 + 4 + 4 + 4 = 15\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{4}{15}\nThe probability that a bow tie is made of cotton and is shaped like a batwing is \\frac{4}{15}.\n\nThus, the final answer is {\"answer\": \"4/15\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_22086", + "image": "table_instructV/images/TABMWP_22319.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| | Argentina | Brazil |\n| --- | --- | --- |\n| 80 points | 1 | 2 |\n| 85 points | 4 | 4 |" + }, + { + "from": "human", + "value": "Show the detailed solution to answer the following question. The concluding answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nQuestion: A journalist attended a crossword puzzle competition which attracts contestants from different countries. The competition ends when a contestant has accurately completed five different crossword puzzles. For her story, the journalist recorded the home country and final score of each contestant. What is the probability that a randomly selected contestant scored exactly 85 points and is from Brazil? Simplify any fractions." + }, + { + "from": "gpt", + "value": "Let A be the event \"the contestant scored exactly 85 points\" and B be the event \"the contestant is from Brazil\".\nTo find the probability that a contestant scored exactly 85 points and is from Brazil, first identify the sample space and the event.\nThe outcomes in the sample space are the different contestants. Each contestant is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the contestant scored exactly 85 points and is from Brazil\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the contestant scored exactly 85 points and is from Brazil\", so look at the table to see how many contestants scored exactly 85 points and are from Brazil.\nThe number of contestants who scored exactly 85 points and are from Brazil is 4.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of contestants.\n1 + 4 + 2 + 4 = 11\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{4}{11}\nThe probability that a contestant scored exactly 85 points and is from Brazil is \\frac{4}{11}.\n\nTherefore, the final answer is {\"answer\": \"4/11\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_22092", + "image": "table_instructV/images/TABMWP_11020.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $585 | 14,200 | 4,700 |\n| $665 | 11,200 | 5,300 |\n| $745 | 8,200 | 5,900 |\n| $825 | 5,200 | 6,500 |\n| $905 | 2,200 | 7,100 |" + }, + { + "from": "human", + "value": "Please solve the problem based on the given image. Provide a concluding answer in a JSON structure, using the format {\"answer\": \"\"}.\nProblem: Look at the table. Then answer the question. At a price of $745, is there a shortage or a surplus? (A) shortage (B) surplus\nYour Solution:" + }, + { + "from": "gpt", + "value": "At the price of $745, the quantity demanded is greater than the quantity supplied. There is not enough of the good or service for sale at that price. So, there is a shortage.\n\n\nThus, the final answer is {\"answer\": \"shortage\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_22093", + "image": "table_instructV/images/ToTTo_train_table_26987.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Win | 13–6 | Jeremy May | TKO (punches) | Island Fights 52 | February 7, 2019 | 1 | 3:18 | Pensacola, Florida, United States | |\n| Win | 12–6 | Frank Tate | TKO (punches) | Island Fights 51 | December 21, 2018 | 1 | 4:05 | Pensacola, Florida, United States | |\n| Loss | 11–6 | Augusto Sakai | TKO (punches) | UFC Fight Night: Santos vs. Anders | September 22, 2018 | 3 | 4:03 | São Paulo, Brazil | |\n| Loss | 11–5 | Justin Willis | Decision (unanimous) | UFC Fight Night: Barboza vs. Lee | April 21, 2018 | 3 | 5:00 | Atlantic City, New Jersey, United States | |\n| Loss | 11–4 | Shamil Abdurakhimov | KO (punch) | UFC Fight Night: Bisping vs. Gastelum | November 25, 2017 | 1 | 1:24 | Shanghai, China | |\n| Win | 11–3 | Damian Grabowski | Decision (unanimous) | UFC on Fox: Weidman vs. Gastelum | July 22, 2017 | 3 | 5:00 | Uniondale, New York, United States | |\n| Win | 10–3 | Rashad Coulter | KO (elbow) | UFC 211 | May 13, 2017 | 2 | 3:36 | Dallas, Texas, United States | Fight of the Night. |\n| Loss | 9–3 | Walt Harris | KO (knee and punch) | UFC Fight Night: Rodríguez vs. Penn | January 15, 2017 | 2 | 2:41 | Phoenix, Arizona, United States | |\n| Loss | 9–2 | Justin Ledet | Decision (unanimous) | UFC Fight Night: Rodríguez vs. Caceres | August 6, 2016 | 3 | 5:00 | Salt Lake City, Utah, United States | |\n| Win | 9–1 | Jack May | TKO (leg injury) | Titan FC 38 | April 30, 2016 | 1 | 0:56 | Miami, Florida, United States | |\n| Win | 8–1 | Sammy Collingwood | KO (punches) | Island Fights 37 | March 11, 2016 | 1 | 1:03 | Pensacola, Florida, United States | |\n| Win | 7–1 | Russ Johnson | KO (punch) | FFI: Blood and Sand 17 | June 27, 2015 | 1 | 1:40 | Biloxi, Mississippi, United States | |\n| Win | 6–1 | Brad Johnson | TKO (punches) | FFI: Blood and Sand 16 | March 14, 2015 | 1 | 1:00 | Biloxi, Mississippi, United States | |\n| Loss | 5–1 | Alex Nicholson | TKO (punches) | Island Fights 31 | December 5, 2014 | 1 | N/A | Pensacola, Florida, United States | |\n| Win | 5–0 | Wes Little | TKO (punches) | FFI: Blood and Sand 15 | November 1, 2014 | 1 | 4:00 | Biloxi, Mississippi, United States | |\n| Win | 4–0 | Alex Rozman | TKO (leg kick) | Island Fights 30 | November 1, 2014 | 1 | N/A | Pensacola, Florida, United States | |\n| Win | 3–0 | Justin Thornton | TKO (punches) | Island Fights 28 | May 9, 2014 | 1 | 1:01 | Pensacola, Florida, United States | |\n| Win | 2–0 | Chris Jensen | TKO (punches) | Atlas Fights: Battle on Mobile Bay | April 12, 2014 | 1 | 0:11 | Mobile, Alabama, United States | |\n| Win | 1–0 | Braxton Smith | TKO (punches) | V3 Fights: Johnson vs. Johnson | January 18, 2014 | 1 | 2:08 | Memphis, Tennessee, United States | |" + }, + { + "from": "human", + "value": "Help me finish a table-to-text task. You need to produce a one-sentence description of the highlighted table cells according to the provided table and its related information.\nTable title: Chase Sherman\nSection title: Mixed martial arts record" + }, + { + "from": "gpt", + "value": "Sherman faced Jeremy May on February 7, 2019 at Island Fights 52." + } + ] + }, + { + "id": "table_instructV_multi_round_22196", + "image": "table_instructV/images/Rotowire_train_table_2751.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Warriors | Golden State | 108 | 30 | 28 | 24 | 26 | 28 | 37 | 14 | 48 | 91 | 26 | 53 | 13 | | | | |\n| Lakers | Los Angeles | 105 | 30 | 24 | 24 | 27 | 24 | 45 | 18 | 46 | 91 | 53 | 17 | 49 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Klay Thompson | 35 | 26 | 3 | 1 | 10-22 | 46% | 3-9 | 33% | 3-3 | 100% | 0 | 0 | 1 | 0 | 3 | 3 | G | Golden State |\n| Stephen Curry | 33 | 19 | 4 | 9 | 5-14 | 36% | 2-6 | 33% | 7-7 | 100% | 3 | 6 | 0 | 0 | 4 | 2 | G | Golden State |\n| Draymond Green | 34 | 16 | 8 | 3 | 7-14 | 50% | 1-5 | 20% | 1-1 | 100% | 5 | 3 | 1 | 1 | 7 | 5 | F | Golden State |\n| Harrison Barnes | 23 | 11 | 2 | 2 | 3-8 | 38% | 1-4 | 25% | 4-4 | 100% | 1 | 0 | 1 | 1 | 1 | 1 | F | Golden State |\n| Andrew Bogut | 31 | 8 | 7 | 3 | 4-6 | 67% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 1 | 2 | 5 | 3 | C | Golden State |\n| Andre Iguodala | 31 | 8 | 2 | 6 | 4-7 | 57% | 0-1 | 0% | 0-0 | 0% | 2 | 1 | 1 | 0 | 2 | 1 | N/A | Golden State |\n| Shaun Livingston | 18 | 6 | 2 | 4 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 1 | 1 | 2 | N/A | Golden State |\n| Festus Ezeli | 8 | 6 | 3 | 0 | 2-3 | 67% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 1 | 2 | 1 | 0 | N/A | Golden State |\n| David Lee | 12 | 5 | 2 | 0 | 1-2 | 50% | 0-0 | 0% | 3-4 | 75% | 0 | 0 | 0 | 0 | 2 | 3 | N/A | Golden State |\n| Justin Holiday | 11 | 3 | 2 | 0 | 1-3 | 33% | 0-2 | 0% | 1-2 | 50% | 3 | 1 | 0 | 0 | 2 | 1 | N/A | Golden State |\n| James Michael McAdoo | 5 | 0 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 2 | 0 | N/A | Golden State |\n| Leandro Barbosa | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Marreese Speights | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Lakers | | | | | | | | | | | | | | | | | | |\n| Wayne Ellington | 30 | 17 | 1 | 1 | 6-13 | 46% | 3-5 | 60% | 2-2 | 100% | 1 | 0 | 0 | 1 | 0 | 0 | G | Los Angeles |\n| Jordan Clarkson | 25 | 17 | 6 | 3 | 7-13 | 54% | 1-2 | 50% | 2-2 | 100% | 2 | 3 | 0 | 2 | 4 | 2 | G | Los Angeles |\n| Wesley Johnson | 39 | 16 | 5 | 4 | 7-12 | 58% | 2-2 | 100% | 0-0 | 0% | 2 | 3 | 0 | 0 | 5 | 2 | F | Los Angeles |\n| Jordan Hill | 30 | 15 | 12 | 5 | 6-14 | 43% | 1-1 | 100% | 2-2 | 100% | 3 | 1 | 0 | 1 | 11 | 3 | F | Los Angeles |\n| Jeremy Lin | 23 | 15 | 1 | 4 | 3-8 | 38% | 1-3 | 33% | 8-10 | 80% | 1 | 5 | 2 | 1 | 0 | 4 | N/A | Los Angeles |\n| Carlos Boozer | 24 | 10 | 9 | 2 | 5-12 | 42% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 4 | 5 | 4 | N/A | Los Angeles |\n| Jabari Brown | 20 | 5 | 0 | 1 | 2-4 | 50% | 0-1 | 0% | 1-1 | 100% | 1 | 2 | 0 | 0 | 0 | 0 | N/A | Los Angeles |\n| Tarik Black | 18 | 4 | 5 | 1 | 1-3 | 33% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 1 | 4 | 2 | C | Los Angeles |\n| Ed Davis | 18 | 4 | 4 | 3 | 1-2 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 2 | 3 | 0 | 4 | 0 | N/A | Los Angeles |\n| Ryan Kelly | 13 | 2 | 2 | 0 | 1-4 | 25% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Los Angeles |\n| Robert Sacre | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Kobe Bryant | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Nick Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |" + }, + { + "from": "human", + "value": "Examine the data records in this picture, which depict an NBA game held on 16/03/2015. Use these data statistics to generate a comprehensive summary of the game." + }, + { + "from": "gpt", + "value": "The Golden State Warriors (53-13) defeated the Los Angeles Lakers (17-49) 108-105 on Monday at Oracle Arena in Oakland. While the Lakers have already been eliminated from the playoffs, this win pushes the Warriors to six and a half games ahead of the Memphis Grizzlies, who sit second in the Western Conference standings. The Warriors have now won two games in a row and eight of their last ten, as they comfortably hold their lead in the West. Despite taking the loss, the Lakers finised with a 45-37 rebounding advantage and shot an impressive 50 percent from the three-point line. The Warriors' superstar duo of Stephen Curry and Klay Thompson did it again Monday. Thompson went 10-for-22 from the field and 3-for-9 from the three-point line to score a game-high of 26 points, while also adding three rebounds. Thompson has been scoring at a high rate lately, as he 's averaging 25 points over his last five games. Curry, on the other hand, finished with 26 points (5-14 FG, 2-6 3Pt, 7-7 FT), nine assists and three steals in 33 minutes. He 's put in two solid performances in a row, combining for 44 points, 20 assists and six steals in his last two outings. Also playing a big factor in the win was Draymond Green, as he recorded 16 points (7-14 FG, 1-5 3Pt, 1-1 FT), to go along with eight rebounds and a game-high of five steals. He 's been a force defensively for the Warriors, with this marking his second game in a row with five steals. Harrison Barnes chipped in with 11 points (3-8 FG, 1-4 3Pt, 4-4 FT) as well. The Lakers saw a true team-effort in the loss, with six players reaching double figures in points. Jordan Clarkson was impressive, going 7-for-13 from the field and 1-for-2 from the three-point line to score 17 points, while also adding six rebounds and a pair of steals in just 25 minutes. He has shot below 35 percent from the field in each of his last three games, so it was good to see him get pointed back in the right direction Monday. Wayne Ellington posted 17 points (6-13 FG, 3-5 3Pt, 2-2 FT) of his own in 30 minutes. It was some nice production from the guard, with this being his highest scoring performance since the beginning of February. Notching a double-double, Jordan Hill finished with 15 points (6-14 FG, 1-1 3Pt, 2-2 FT) and 12 rebounds. The Lakers also saw some good contributions off the bench. Jeremy Lin had 15 points (3-8 FG, 1-3 3Pt, 8-10 FT) and four assists, while Carlos Boozer added 10 points (5-12 FG) and nine rebounds. The Warriors' next game will be at home against the Atlanta Hawks on Wednesday, while the Lakers will be at home against the Utah Jazz on Thursday." + } + ] + }, + { + "id": "table_instructV_multi_round_22237", + "image": "table_instructV/images/TABMWP_19077.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Gem color | Change in points |\n| --- | --- |\n| Green | 25 |\n| Red | -40 |" + }, + { + "from": "human", + "value": "This is a table picture. Can you figure out the row and column numbers for this particular table? Format your final answer as a JSON, using the structure {\"row_number\": \"m\", \"column_number\": \"n\"}." + }, + { + "from": "gpt", + "value": "There are 3 rows and 2 columns in the table. So, the final answer is {\"row_number\": \"3\", \"column_number\": \"2\"}." + }, + { + "from": "human", + "value": "Starting with the provided table, detail your process in solving this problem. Present the final answer in a JSON format, outlined as {\"answer\": \"\"}. \nNate just downloaded the new game Gem Excavator on his phone. In the first level, Nate gains points for each green gem he finds. However, he loses points for each red gem he finds. The table shows how the gems affect Nate's points. Which color gem affects Nate's points less? (A) green (B) red" + }, + { + "from": "gpt", + "value": "To find the gem that affects Nate's points less, use absolute value. Absolute value tells you how much Nate's points change for each color gem.\nGreen: |25| = 25\nRed: |-40| = 40\nNate gains 25 points for each green gem he finds, and he loses 40 points for each red gem he finds. So, the green gems affect Nate's points less.\n\nThus, the final answer is {\"answer\": \"green\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_22239", + "image": "table_instructV/images/ToTTo_train_table_22869.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| Year | Title | Role |\n| --- | --- | --- |\n| 1986 | Little Shop of Horrors | Audrey II |" + }, + { + "from": "human", + "value": "Generate a one-sentence summary about the highlighted table cells based on the following Wikipedia table and its metadata. \nTable title: Levi Stubbs\nSection title: Film\n" + }, + { + "from": "gpt", + "value": "In 1986, Levi Stubbs played as Audrey II in the movie of Little Shop of Horrors." + } + ] + }, + { + "id": "table_instructV_multi_round_22284", + "image": "table_instructV/images/ToTTo_train_table_777.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | 20–10 | Adam Piccolotti | Decision (unanimous) | Bellator 206 | September 29, 2018 | 3 | 5:00 | San Jose, California United States | |\n| Win | 20–9 | Don Mohammed | Decision (unanimous) | Bellator 199 | May 12, 2018 | 3 | 5:00 | San Jose, California United States | Catchweight (165 lbs) bout. |\n| Win | 19–9 | JC Llamas | Decision (technical) | Bellator 172 | February 18, 2017 | 3 | 0:37 | San Jose, California United States | |\n| Win | 18–9 | Justin Baesman | Decision (unanimous) | Bellator 165 | November 19, 2016 | 3 | 5:00 | San Jose, California United States | |\n| Win | 17–9 | Buddy Wallace | Decision (unanimous) | Conquer Fighting Championships 2 | April 30, 2016 | 3 | 5:00 | Richmond, California United States | |\n| Loss | 16–9 | Nick Barnes | Submission (rear-naked choke) | Bellator 147 | December 4, 2015 | 1 | 2:48 | San Jose, California United States | Catchweight (175 lbs) bout. |\n| Win | 16–8 | Carlos Eduardo Rocha | TKO (punches) | Bellator 142: Dynamite 1 | September 19, 2015 | 1 | 4:00 | San Jose, California United States | |\n| Win | 15–8 | Chris Herrera | TKO (punches) | DH: Dragon House 20 | June 6, 2015 | 1 | 0:33 | San Francisco, California, United States | |\n| Loss | 14–8 | André Santos | Decision (unanimous) | Bellator 129 | October 17, 2014 | 3 | 5:00 | Council Bluffs, Iowa, United States | |\n| Win | 14–7 | Daniel McWilliams | TKO (punches) | 408 Fights: Battle of the Bay 3 | July 19, 2014 | 1 | N/A | San Jose, California, United States | |\n| Loss | 13–7 | Rick Reeves | Decision (split) | Bellator 115 | April 4, 2014 | 3 | 5:00 | Reno, Nevada, United States | |\n| Win | 13–6 | Sam Liera | TKO (punches) | Arise Fighting Championships | November 30, 2013 | 3 | 2:26 | Santa Clara, California, United States | |\n| Win | 12–6 | Marcus Gaines | TKO (punches) | Dragon House MMA 15 | November 2, 2013 | 1 | 0:12 | San Francisco, California, United States | Return to Welterweight. |\n| Loss | 11–6 | Mike de la Torre | Submission (rear-naked choke) | Arise Fighting Championships | June 15, 2013 | 1 | 0:57 | Santa Clara, California, United States | |\n| Loss | 11–5 | Bobby Green | Decision (split) | Strikeforce: Barnett vs. Cormier | May 19, 2012 | 3 | 5:00 | San Jose, California, United States | Return to Lightweight. |\n| Loss | 11–4 | Nah-Shon Burrell | Decision (split) | Strikeforce: Rockhold vs. Jardine | January 7, 2012 | 3 | 5:00 | Las Vegas, Nevada, United States | Welterweight bout. |\n| Win | 11–3 | Magno Almeida | KO (punches) | Strikeforce Challengers: Larkin vs. Rossborough | September 23, 2011 | 1 | 3:21 | Las Vegas, Nevada, United States | |\n| Loss | 10–3 | Caros Fodor | Decision (unanimous) | Strikeforce Challengers: Fodor vs. Terry | June 24, 2011 | 3 | 5:00 | Kent, Washington, United States | Lightweight debut. |\n| Win | 10–2 | Josh Thornburg | KO (punch) | Strikeforce Challengers: Wilcox vs. Damm | April 1, 2011 | 1 | 4:38 | Stockton, California, United States | Catchweight (165 lbs) bout. |\n| Win | 9–2 | Lucas Gamaza | TKO (punches) | Strikeforce: Diaz vs. Cyborg | January 29, 2011 | 1 | 3:26 | San Jose, California, United States | |\n| Win | 8–2 | David Marshall | Decision (unanimous) | Strikeforce: Diaz vs. Noons II | October 9, 2010 | 3 | 5:00 | San Jose, California, United States | |\n| Loss | 7–2 | Tarec Saffiedine | Decision (unanimous) | Strikeforce Challengers: Kaufman vs. Hashi | February 26, 2010 | 3 | 5:00 | San Jose, California, United States | |\n| Win | 7–1 | Zak Bucia | TKO (head kick and punches) | Strikeforce: Carano vs. Cyborg | August 15, 2009 | 1 | 1:23 | San Jose, California, United States | |\n| Win | 6–1 | Zak Bucia | Decision (unanimous) | Strikeforce: Shamrock vs. Diaz | April 11, 2009 | 3 | 5:00 | San Jose, California, United States | |\n| Loss | 5–1 | Jeremiah Metcalf | Submission (rear-naked choke) | CCFC: Mayhem | May 17, 2008 | 2 | 1:47 | Santa Rosa, California, United States | |\n| Win | 5–0 | Josh Hinkle | Decision (split) | CCFC: Undefeated | October 6, 2007 | 3 | 5:00 | Santa Rosa, California, United States | |\n| Win | 4–0 | Jack Montgomery | Decision (unanimous) | CCFC: Total Elimination | May 12, 2007 | 3 | 5:00 | Santa Rosa, California, United States | |\n| Win | 3–0 | Tony Juarez | TKO (corner stoppage) | CCFC: Judgment Day | February 17, 2007 | 1 | 2:10 | Santa Rosa, California, United States | |\n| Win | 2–0 | Josh McDonald | Decision (unanimous) | CCFC: Throwdown at The Pavilion | November 4, 2006 | 3 | 5:00 | Santa Rosa, California, United States | |\n| Win | 1–0 | Josh Hayes | Decision (unanimous) | Warrior Cup 1 | August 12, 2006 | 3 | 5:00 | Stockton, California, United States | |" + }, + { + "from": "human", + "value": "Presented is a Wikipedia table named 'James Terry (fighter)', which is extracted from a section heading 'Mixed martial arts record'.\nAs you can see, some table cells are highlighted with a different color. Please generate a one-sentence summary of these cells." + }, + { + "from": "gpt", + "value": "James Terry fought at Strikeforce: Diaz vs. Cyborg on January 29, 2011 against Lucas Gamaza and won via TKO in the first round." + } + ] + }, + { + "id": "table_instructV_multi_round_22363", + "image": "table_instructV/images/TabFact_1-1341423-32.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| district | incumbent | party | first elected | results | candidates |\n| --- | --- | --- | --- | --- | --- |\n| new york 3 | peter king | republican | 1992 | re - elected | peter king (r) 60% dal lamagna (d) 40% |\n| new york 4 | carolyn mccarthy | democratic | 1996 | re - elected | carolyn mccarthy (d) 61% gregory becker (r) 39% |\n| new york 5 | gary ackerman | democratic | 1983 | re - elected | gary ackerman (d) 68% edward elkowitz (r) 31% |\n| new york 6 | gregory w meeks | democratic | 1998 | re - elected | gregory w meeks (d) unopposed |\n| new york 9 | anthony weiner | democratic | 1998 | re - elected | anthony weiner (d) 68% noach dear (r) 32% |\n| new york 10 | ed towns | democratic | 1982 | re - elected | ed towns (d) 90% ernestine brown (r) 6% |\n| new york 11 | major owens | democratic | 1982 | re - elected | major owens (d) 88% susan cleary (r) 7% |\n| new york 12 | nydia velazquez | democratic | 1992 | re - elected | nydia velazquez (d) 86% rosemarie markgraf (r) 12% |\n| new york 13 | vito fossella | republican | 1997 | re - elected | vito fossella (r) 65% katina johnstone (d) 34% |\n| new york 16 | jose serrano | democratic | 1990 | re - elected | jose serrano (d) 96% aaron justice (r) 4% |\n| new york 17 | eliot engel | democratic | 1988 | re - elected | eliot engel (d) 89% patrick mcmanus (r) 11% |\n| new york 18 | nita lowey | democratic | 1988 | re - elected | nita lowey (d) 67% john vonglis (r) 32% |\n| new york 20 | benjamin gilman | republican | 1972 | re - elected | benjamin gilman (r) 58% paul feiner (d) 41% |\n| new york 21 | mike mcnulty | democratic | 1988 | re - elected | mike mcnulty (d) 74% thomas pillsworth (r) 26% |\n| new york 22 | john sweeney | republican | 1998 | re - elected | john sweeney (r) 69% kenneth mccallion (d) 31% |\n| new york 24 | john mchugh | republican | 1992 | re - elected | john mchugh (r) 75% neil tallon (d) 23% |\n| new york 26 | maurice hinchey | democratic | 1992 | re - elected | maurice hinchey (d) 62% bob moppert (r) 38% |\n| new york 27 | tom reynolds | republican | 1998 | re - elected | tom reynolds (r) 70% thomas pecoraro (d) 30% |\n| new york 29 | john lafalce | democratic | 1974 | re - elected | john lafalce (d) 61% brett sommer (r) 39% |\n| new york 30 | jack quinn | republican | 1992 | re - elected | jack quinn (r) 67% john fee (d) 33% |" + }, + { + "from": "human", + "value": "Presented with a table with the title 'united states house of representatives elections , 2000', distinguish whether the table confirms or refutes the following hypothesis. Output the final answer as JSON in the format {\"answer\": \"\"}.\nhypothesis: ed towns and major owens were both first elected in 1982" + }, + { + "from": "gpt", + "value": "Based on the table, the hypothesis holds true. Thus, the final answer is {\"answer\": \"confirms\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title 'united states house of representatives elections , 2000', and determine whether the table confirms or opposes the given sentence. Output the final answer as JSON in the format {\"answer\": \"\"}.\nsentence: there were 13 democratic wins vs 7 republican wins" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table confirms the validity of the sentence. Therefore, the final answer: {\"answer\": \"confirms\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_22572", + "image": "table_instructV/images/TABMWP_4138.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 10 | 16 |\n| 11 | 8 |\n| 12 | 4 |" + }, + { + "from": "human", + "value": "Problem: \nThe table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear\n\nAnswer the above problem related to the table. At the end of your output, present the final answer as JSON in the format {\"answer\": \"\"}.\nSolution:" + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{8 - 16}{11 - 10}\n = \\frac{-8}{1}\n = -8\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the second row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{4 - 8}{12 - 11}\n = \\frac{-4}{1}\n = -4\nThe rate of change is not the same for each pair of points. So, the function does not have a constant rate of change.\nThe function is nonlinear.\n\nTherefore, the final answer is {\"answer\": \"nonlinear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_22618", + "image": "table_instructV/images/TABMWP_34448.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| | Correctly placed | Incorrectly placed |\n| --- | --- | --- |\n| Plastic #2 | 6 | 5 |\n| Plastic #4 | 6 | 3 |" + }, + { + "from": "human", + "value": "Answer the following question based on the table information. Let's think step by step. Conclude your response with the final answer in the JSON format, structured as {\"answer\": \"\"}.\nCurious about people's recycling behaviors, Kinsley put on some gloves and sifted through some recycling and trash bins. She kept count of the plastic type of each bottle and which bottles are properly dispensed. What is the probability that a randomly selected bottle is made of plastic #2 and is correctly placed? Simplify any fractions." + }, + { + "from": "gpt", + "value": "Let A be the event \"the bottle is made of plastic #2\" and B be the event \"the bottle is correctly placed\".\nTo find the probability that a bottle is made of plastic #2 and is correctly placed, first identify the sample space and the event.\nThe outcomes in the sample space are the different bottles. Each bottle is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the bottle is made of plastic #2 and is correctly placed\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the bottle is made of plastic #2 and is correctly placed\", so look at the table to see how many bottles are made of plastic #2 and are correctly placed.\nThe number of bottles that are made of plastic #2 and are correctly placed is 6.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of bottles.\n6 + 6 + 5 + 3 = 20\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{6}{20}\n = \\frac{3}{10}\nThe probability that a bottle is made of plastic #2 and is correctly placed is \\frac{3}{10}.\n\nThus, the final answer is {\"answer\": \"3/10\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_22661", + "image": "table_instructV/images/Rotowire_train_table_3384.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Timberwolves | Minnesota | 100 | 24 | 25 | 31 | 20 | 21 | 31 | 9 | 47 | 77 | 40 | 9 | 15 | | | | |\n| Nuggets | Denver | 112 | 27 | 36 | 29 | 20 | 24 | 39 | 14 | 56 | 74 | 56 | 11 | 14 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Andrew Wiggins | 34 | 23 | 1 | 1 | 9-17 | 53% | 1-1 | 100% | 4-5 | 80% | 0 | 3 | 1 | 0 | 1 | 3 | F | Minnesota |\n| Zach LaVine | 25 | 20 | 4 | 5 | 8-18 | 44% | 1-3 | 33% | 3-4 | 75% | 1 | 2 | 1 | 1 | 3 | 1 | N/A | Minnesota |\n| Karl-Anthony Towns | 28 | 18 | 6 | 1 | 5-7 | 71% | 0-0 | 0% | 8-8 | 100% | 1 | 0 | 2 | 4 | 2 | 4 | C | Minnesota |\n| Ricky Rubio | 30 | 13 | 4 | 9 | 3-6 | 50% | 2-3 | 67% | 5-6 | 83% | 0 | 1 | 0 | 0 | 4 | 1 | G | Minnesota |\n| Kevin Garnett | 13 | 6 | 4 | 0 | 2-3 | 67% | 0-0 | 0% | 2-2 | 100% | 1 | 0 | 0 | 1 | 3 | 2 | F | Minnesota |\n| Adreian Payne | 4 | 5 | 1 | 0 | 2-2 | 100% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Minnesota |\n| Gorgui Dieng | 23 | 4 | 9 | 1 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 1 | 2 | 7 | 4 | N/A | Minnesota |\n| Shabazz Muhammad | 14 | 3 | 0 | 0 | 1-5 | 20% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 0 | 0 | 0 | 0 | N/A | Minnesota |\n| Andre Miller | 9 | 2 | 0 | 1 | 1-3 | 33% | 0-0 | 0% | 0-2 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Minnesota |\n| Tayshaun Prince | 12 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Minnesota |\n| Kevin Martin | 22 | 2 | 0 | 3 | 1-8 | 13% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | G | Minnesota |\n| Nemanja Bjelica | 17 | 2 | 2 | 0 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 1 | 2 | 0 | 3 | N/A | Minnesota |\n| Damjan Rudez | 11 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Minnesota |\n| Nuggets | | | | | | | | | | | | | | | | | | |\n| Kenneth Faried | 28 | 19 | 10 | 1 | 7-12 | 58% | 0-0 | 0% | 5-8 | 63% | 0 | 0 | 3 | 3 | 7 | 5 | F | Denver |\n| Randy Foye | 25 | 19 | 2 | 2 | 7-9 | 78% | 5-6 | 83% | 0-0 | 0% | 2 | 1 | 0 | 0 | 2 | 1 | N/A | Denver |\n| Danilo Gallinari | 28 | 15 | 3 | 5 | 3-7 | 43% | 1-2 | 50% | 8-11 | 73% | 0 | 1 | 0 | 1 | 2 | 2 | F | Denver |\n| Will Barton | 31 | 14 | 7 | 5 | 5-11 | 46% | 1-2 | 50% | 3-4 | 75% | 0 | 3 | 0 | 2 | 5 | 3 | N/A | Denver |\n| Joffrey Lauvergne | 16 | 11 | 7 | 1 | 4-5 | 80% | 1-1 | 100% | 2-2 | 100% | 0 | 2 | 0 | 1 | 6 | 2 | C | Denver |\n| Jameer Nelson | 23 | 10 | 3 | 4 | 4-7 | 57% | 2-3 | 67% | 0-0 | 0% | 2 | 2 | 0 | 0 | 3 | 4 | G | Denver |\n| Kostas Papanikolaou | 20 | 8 | 2 | 2 | 3-6 | 50% | 0-1 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 2 | 3 | N/A | Denver |\n| Darrell Arthur | 15 | 6 | 0 | 0 | 3-6 | 50% | 0-1 | 0% | 0-0 | 0% | 2 | 1 | 1 | 0 | 0 | 1 | N/A | Denver |\n| Nikola Jokic | 21 | 6 | 3 | 2 | 3-4 | 75% | 0-0 | 0% | 0-0 | 0% | 2 | 2 | 2 | 2 | 1 | 3 | N/A | Denver |\n| Gary Harris | 24 | 4 | 2 | 0 | 2-5 | 40% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 1 | G | Denver |\n| Mike Miller | 10 | 0 | 0 | 2 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 1 | N/A | Denver |\n| JJ Hickson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |" + }, + { + "from": "human", + "value": "Based on the box-score and line-score tables displayed in this image for an NBA game between Timberwolves and Nuggets on 15/12/2015, please provide a comprehensive summary of the game using the provided data statistics." + }, + { + "from": "gpt", + "value": "The Denver Nuggets (11-14) defeated the Minnesota Timberwolves (9-15) 112-100 on Tuesday. The Nuggets had an outstanding shooting night overall, and benefited from solid efforts all across their roster. Four Denver starters tallied double-digit scoring, while reserve Randy Foye shared in the team lead with 19 points over 25 minutes. Kenneth Faried equaled Foye 's point total, and also managed his third double-double over the last four games by hauling in 10 boards. Overall, the visitors managed stellar 56 and 56 percent success rates from the field and three-point range, respectively. In addition to Faried 's and Foye 's team-leading totals, the Nuggets also received 15 points from Danilo Gallinari for the second straight game. The resurgent small forward has now rattled off 13 consecutive double-digit scoring performances, a benefit of his rare extended stretch of health. Big man Joffrey Lauvergne pitched in with a second straight efficient performance (11 points, seven rebounds), and has now managed an outstanding 25 points over 37 minutes on the court over the last two games. Jameer Nelson once again started in place of Emmanuel Mudiay (ankle), and contributed all across the stat sheet with 10 points, four assists, three rebounds and a pair of steals. Will Barton had another productive outing off the bench, pouring in 14 points. Denver improved to 11-14 and currenly resides in second place in the Western Conference 's Northwest Division. They now head to Utah for a Friday showdown with the Jazz. The Timberwolves were led by Andrew Wiggins, who posted a game-high 23 points. Karl-Anthony Towns was next in line with 18 points and six rebounds, while Ricky Rubio came within an assist of a double-double. The Minnesota point guard contributed 13 points, nine dimes and four rebounds after a one-point performance in his most recent contest. After three consecutive double-digit scoring outings that made it seem as if he was back on track, guard Kevin Martin notably crashed back down to earth with only two points on 1-of-8 shooting over 22 minutes. Zach LaVine (25 minutes) outpaced Martin in playing time as a result, and exploded with 20 points, five assists, four rebounds, a steal and a block to lead the Minnesota reserves. Minnesota fell to 9-15 and remains in last place in the Western Conference 's Northwest Division. They head to New York for a Wednesday matchup against the Knicks." + } + ] + }, + { + "id": "table_instructV_multi_round_22701", + "image": "table_instructV/images/TabFact_2-12280777-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| 7:00 | 7:30 | 8:00 | 8:30 | 9:00 | 9:30 | 10:00 |\n| --- | --- | --- | --- | --- | --- | --- |\n| coronation street | who do you think you are | the nature of things | the nature of things | doc zone | doc zone | the national |\n| etalk | jeopardy! | csi | csi | grey 's anatomy | grey 's anatomy | er |\n| et canada | entertainment tonight | survivor : china | survivor : china | the office | my name is earl | shark |\n| wheel of fortune | e2 | scrubs | 30 rock | don't forget the lyrics! | don't forget the lyrics! | big shots |\n| friends | access hollywood | ugly betty | ugly betty | supernatural | supernatural | terminal city |\n| the insider | e! news | are you smarter than a 5th grader | are you smarter than a 5th grader | e! movies we love | e! movies we love | e! movies we love |\n| virginie | infoman | le moment de vérité | le moment de vérité | tous pour un | tous pour un | le téléjournal |\n| la fièvre de la danse | la fièvre de la danse | le banquier | le banquier | taxi 0 - 22 | taxi 0 - 22 | le tva 22 heures |\n| loft story | criss angel | movies | movies | movies | movies | le journal du soir |" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table with its caption '2007 - 08 canadian network television schedule', the goal is to distinguish whether the following claim is substantiated or contradicted by the table. Output the final answer as JSON in the format {\"answer\": \"\"}.\nyou can watch don't forget the lyrics at 9:30 and then watch e2 , it comes on afterwards" + }, + { + "from": "gpt", + "value": "Based on the table information, the claim is not true. Thus, the answer is {\"answer\": \"contradicted\"}." + }, + { + "from": "human", + "value": "Presented with a table with the title '2007 - 08 canadian network television schedule', distinguish whether the table affirms or conflicts with the following statement. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nstatement: movies was on tv at 8:00 on the same channel that had loft story on at 7:00" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the statement. Consequently, the answer is {\"answer\": \"affirms\"}." + }, + { + "from": "human", + "value": "Analyze this table picture about '2007 - 08 canadian network television schedule' and classify whether the given table entails or refutes the hypothesis. The final result should be presented in the JSON format of {\"answer\": \"\"}.\n\net canada was on tv at 7:00 on the same channel that had survivor : china at 8:00" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it entails the hypothesis. Hence, the answer is {\"answer\": \"entails\"}." + }, + { + "from": "human", + "value": "This is a table image titled '2007 - 08 canadian network television schedule', help me determine if the table affirms or challenges the following sentence. Show your final answer in the JSON format {\"answer\": \"\"}.\nle journal du sour was on tv at 10:00 the same channel had ugly betty at 8:30" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the sentence is false. Consequently, the answer is {\"answer\": \"challenges\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_22806", + "image": "table_instructV/images/ToTTo_train_table_34621.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Year | Title | Label |\n| --- | --- | --- |\n| 2007 | Crossing the Rubicon (EP) | Out of Print |\n| 2008 | It Don't Mean I Don't Love You | self-released |\n| 2010 | Young Blood Blues | self-released |\n| 2011 | Hurray for the Riff Raff | Loose Music |\n| 2012 | Live at 2012 New Orleans Jazz & Heritage Festival | |\n| 2012 | Look Out Mama | Born to Win Records / Loose Music |\n| 2013 | My Dearest Darkest Neighbor | Mod Mobilian Records/This Is American Music |\n| 2014 | Small Town Heroes | ATO Records |\n| 2017 | The Navigator | ATO Records |" + }, + { + "from": "human", + "value": "Consider the table titled 'Hurray for the Riff Raff', with its section title 'Discography'\nFormulate a sentence describing the highlighted cells' content." + }, + { + "from": "gpt", + "value": "In 2014, Hurray for the Riff Raff had their ATO Records debut, Small Town Heroes." + } + ] + }, + { + "id": "table_instructV_multi_round_22922", + "image": "table_instructV/images/ToTTo_train_table_5658.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Name | Location | Area |\n| --- | --- | --- |\n| African Burial Ground National Monument | New York | 0.35 acres (0.0014 km2) |\n| Agate Fossil Beds National Monument | Nebraska | 3,057.87 acres (12.3748 km2) |\n| Alibates Flint Quarries National Monument | Texas | 1,370.97 acres (5.5481 km2) |\n| Aniakchak National Monument and Preserve | Alaska | 137,176 acres (555.13 km2) |\n| Aztec Ruins National Monument | New Mexico | 318.4 acres (1.289 km2) |\n| Bandelier National Monument | New Mexico | 33,676.67 acres (136.2846 km2) |\n| Belmont-Paul Women's Equality National Monument | District of Columbia | 0.34 acres (0.0014 km2) |\n| Birmingham Civil Rights National Monument | Alabama | 18.25 acres (0.0739 km2) |\n| Booker T. Washington National Monument | Virginia | 239.01 acres (0.9672 km2) |\n| Buck Island Reef National Monument | U.S. Virgin Islands | 19,015.47 acres (76.9529 km2) |\n| Cabrillo National Monument | California | 159.94 acres (0.6473 km2) |\n| Camp Nelson Heritage National Monument | Kentucky | 525 acres (2.12 km2) |\n| Canyon de Chelly National Monument | Arizona | 83,840 acres (339.3 km2) |\n| Cape Krusenstern National Monument and Archeological District | Alaska | 649,124.53 acres (2,626.9138 km2) |\n| Capulin Volcano National Monument | New Mexico | 792.84 acres (3.2085 km2) |\n| Casa Grande Ruins National Monument | Arizona | 472.5 acres (1.912 km2) |\n| Castillo de San Marcos National Monument | Florida | 19.38 acres (0.0784 km2) |\n| Castle Clinton National Monument | New York | 1 acre (0.0040 km2) |\n| Castle Mountains National Monument | California | 20,920 acres (84.7 km2) |\n| Cedar Breaks National Monument | Utah | 6,154.6 acres (24.907 km2) |\n| César E. Chávez National Monument | California | 116.56 acres (0.4717 km2) |\n| Charles Young Buffalo Soldiers National Monument | Ohio | 59.66 acres (0.2414 km2) |\n| Chiricahua National Monument | Arizona | 11,984.73 acres (48.5005 km2) |\n| Colorado National Monument | Colorado | 20,536.39 acres (83.1078 km2) |\n| Craters of the Moon National Monument and Preserve | Idaho | 53,571.05 acres (216.7943 km2) |\n| Devils Postpile National Monument | California | 798.46 acres (3.2313 km2) |\n| Devils Tower National Monument | Wyoming | 1,346.91 acres (5.4508 km2) |\n| Dinosaur National Monument | Utah, Colorado | 210,283.31 acres (850.9864 km2) |\n| Effigy Mounds National Monument | Iowa | 2,526.39 acres (10.2239 km2) |\n| El Malpais National Monument | New Mexico | 114,313.87 acres (462.6118 km2) |\n| El Morro National Monument | New Mexico | 1,278.72 acres (5.1748 km2) |\n| Florissant Fossil Beds National Monument | Colorado | 5,998.09 acres (24.2734 km2) |\n| Fort Frederica National Monument | Georgia | 284.49 acres (1.1513 km2) |\n| Fort Matanzas National Monument | Florida | 300.11 acres (1.2145 km2) |\n| Fort McHenry National Monument and Historic Shrine | Maryland | 43.26 acres (0.1751 km2) |\n| Fort Monroe National Monument | Virginia | 325.2 acres (1.316 km2) |\n| Fort Pulaski National Monument | Georgia | 5,623.1 acres (22.756 km2) |\n| Fort Stanwix National Monument | New York | 15.52 acres (0.0628 km2) |\n| Fort Union National Monument | New Mexico | 720.6 acres (2.916 km2) |\n| Fossil Butte National Monument | Wyoming | 8,198 acres (33.18 km2) |\n| Freedom Riders National Monument | Alabama | 7.83 acres (0.0317 km2) |\n| George Washington Birthplace National Monument | Virginia | 661.73 acres (2.6779 km2) |\n| George Washington Carver National Monument | Missouri | 210 acres (0.85 km2) |\n| Gila Cliff Dwellings National Monument | New Mexico | 533.13 acres (2.1575 km2) |\n| Governors Island National Monument | New York | 22.78 acres (0.0922 km2) |\n| Grand Canyon-Parashant National Monument | Arizona | NPS manages 208,453 acres (843.58 km2) of 1,048,325 acres (4,242.42 km2) |\n| Grand Portage National Monument | Minnesota | 709.97 acres (2.8731 km2) |\n| Hagerman Fossil Beds National Monument | Idaho | 4,351.15 acres (17.6085 km2) |\n| Hohokam Pima National Monument | Arizona | 1,690 acres (6.8 km2) |\n| Homestead National Monument of America | Nebraska | 211.09 acres (0.8543 km2) |\n| Hovenweep National Monument | Colorado, Utah | 784.93 acres (3.1765 km2) |\n| Jewel Cave National Monument | South Dakota | 1,273.51 acres (5.1537 km2) |\n| John Day Fossil Beds National Monument | Oregon | 14,062.02 acres (56.9070 km2) |\n| Katahdin Woods and Waters National Monument | Maine | 87,500 acres (354 km2) |\n| Lava Beds National Monument | California | 46,692.42 acres (188.9575 km2) |\n| Little Bighorn Battlefield National Monument | Montana | 765.34 acres (3.0972 km2) |\n| Montezuma Castle National Monument | Arizona | 1,015.52 acres (4.1097 km2) |\n| Muir Woods National Monument | California | 553.55 acres (2.2401 km2) |\n| Natural Bridges National Monument | Utah | 7,636.49 acres (30.9038 km2) |\n| Navajo National Monument | Arizona | 360 acres (1.5 km2) |\n| Oregon Caves National Monument and Preserve | Oregon | 4,487.98 acres (18.1622 km2) |\n| Organ Pipe Cactus National Monument | Arizona | 330,688.86 acres (1,338.2503 km2) |\n| Petroglyph National Monument | New Mexico | 7,209.3 acres (29.175 km2) |\n| Pipe Spring National Monument | Arizona | 40 acres (0.16 km2) |\n| Pipestone National Monument | Minnesota | 281.78 acres (1.1403 km2) |\n| Poverty Point National Monument | Louisiana | 910.85 acres (3.6861 km2) |\n| Pullman National Monument | Illinois | 300 acres (1.2 km2) |\n| Rainbow Bridge National Monument | Utah | 160 acres (0.65 km2) |\n| Russell Cave National Monument | Alabama | 310.45 acres (1.2563 km2) |\n| Salinas Pueblo Missions National Monument | New Mexico | 1,071.42 acres (4.3359 km2) |\n| Scotts Bluff National Monument | Nebraska | 3,004.81 acres (12.1600 km2) |\n| Statue of Liberty National Monument | New York, New Jersey | 60.86 acres (0.2463 km2) |\n| Stonewall National Monument | New York | 7.7 acres (0.031 km2) |\n| Sunset Crater Volcano National Monument | Arizona | 3,040 acres (12.3 km2) |\n| Timpanogos Cave National Monument | Utah | 250 acres (1.0 km2) |\n| Tonto National Monument | Arizona | 1,120 acres (4.5 km2) |\n| Tule Lake National Monument | California | |\n| Tule Springs Fossil Beds National Monument | Nevada | 22,650 acres (91.7 km2) |\n| Tuzigoot National Monument | Arizona | 811.89 acres (3.2856 km2) |\n| Virgin Islands Coral Reef National Monument | U.S. Virgin Islands | 12,708.07 acres (51.4277 km2) |\n| Waco Mammoth National Monument | Texas | 5 acres (0.020 km2) |\n| Walnut Canyon National Monument | Arizona | 3,529.26 acres (14.2824 km2) |\n| White Sands National Monument | New Mexico | 143,733.25 acres (581.6678 km2) |\n| Wupatki National Monument | Arizona | 35,422.13 acres (143.3483 km2) |\n| Yucca House National Monument | Colorado | 33.87 acres (0.1371 km2) |" + }, + { + "from": "human", + "value": "Generate a one-sentence summary about the highlighted table cells based on the following Wikipedia table and its metadata. \nTable title: List of areas in the United States National Park System\nSection title: National monuments\nSection text: As of 2019, there are 129 national monuments, 85 of which are administered by the NPS and are listed below. The remaining 44 monuments are administered by five other federal agencies." + }, + { + "from": "gpt", + "value": "Aniakchak is one of the areas in the United States National Park System." + } + ] + }, + { + "id": "table_instructV_multi_round_23022", + "image": "table_instructV/images/TabFact_2-11801912-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| date | visitor | score | home | decision | attendance | record |\n| --- | --- | --- | --- | --- | --- | --- |\n| february 1 | dallas | 4 - 1 | edmonton | turco | 16839 | 30 - 20 - 5 |\n| february 2 | dallas | 2 - 1 | calgary | turco | 19289 | 31 - 20 - 5 |\n| february 5 | vancouver | 2 - 3 | dallas | turco | 17642 | 32 - 20 - 5 |\n| february 7 | dallas | 1 - 0 | minnesota | smith | 18568 | 33 - 20 - 5 |\n| february 9 | st louis | 2 - 6 | dallas | smith | 18584 | 34 - 20 - 5 |\n| february 11 | phoenix | 1 - 2 | dallas | turco | 17622 | 35 - 20 - 5 |\n| february 14 | dallas | 2 - 5 | phoenix | turco | 12885 | 35 - 21 - 5 |\n| february 15 | dallas | 4 - 2 | anaheim | turco | 17323 | 36 - 21 - 5 |\n| february 17 | detroit | 0 - 1 | dallas | turco | 18584 | 37 - 21 - 5 |\n| february 20 | calgary | 3 - 2 | dallas | turco | 18584 | 37 - 22 - 5 |\n| february 22 | edmonton | 2 - 5 | dallas | turco | 18564 | 38 - 22 - 5 |\n| february 23 | dallas | 6 - 2 | nashville | smith | 17113 | 39 - 22 - 5 |\n| february 26 | dallas | 3 - 1 | st louis | turco | 19150 | 40 - 22 - 5 |\n| february 28 | chicago | 4 - 7 | dallas | turco | 18584 | 41 - 22 - 5 |" + }, + { + "from": "human", + "value": "In this task, you are given a table with its title '2007 - 08 dallas stars season', your goal is to distinguish whether this table upholds or challenges the sentence. Output the final answer as JSON in the format {\"answer\": \"\"}.\nthe record when the visitor is st louis is 35 - 20 - 5" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it challenges the sentence. Hence, the answer is {\"answer\": \"challenges\"}." + }, + { + "from": "human", + "value": "Table title: 2007 - 08 dallas stars season\nhypothesis: on febuary 9th , the teams record was 34 - 20 - 5\nPlease distinguish whether the above hypothesis is entailed or disproved by the table information. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}." + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the hypothesis. Hence, the answer is {\"answer\": \"entailed\"}." + }, + { + "from": "human", + "value": "Give you a table titled '2007 - 08 dallas stars season' and a hypothesis which is 'february 26 was one date that turco made the decision', select the correct relation between the table and the hypothesis based on the table information. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\n\n(A) affirms (the hypothesis is true)\n(B) challenges (the hypothesis is false)" + }, + { + "from": "gpt", + "value": "Based on the table, the hypothesis holds true. Thus, the final answer is {\"answer\": \"affirms\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_23061", + "image": "table_instructV/images/Rotowire_train_table_1110.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Lakers | Los Angeles | 91 | 15 | 25 | 31 | 20 | 21 | 41 | 14 | 38 | 78 | 36 | 9 | 39 | | | | |\n| Bulls | Chicago | 114 | 32 | 26 | 32 | 24 | 29 | 51 | 10 | 50 | 88 | 35 | 26 | 19 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Lakers | | | | | | | | | | | | | | | | | | |\n| Jordan Clarkson | 27 | 16 | 4 | 4 | 5-14 | 36% | 2-3 | 67% | 4-5 | 80% | 0 | 2 | 0 | 2 | 2 | 0 | G | Los Angeles |\n| Nick Young | 29 | 14 | 3 | 0 | 5-10 | 50% | 3-6 | 50% | 1-2 | 50% | 0 | 2 | 0 | 2 | 1 | 2 | N/A | Los Angeles |\n| Julius Randle | 27 | 14 | 8 | 1 | 4-8 | 50% | 0-0 | 0% | 6-6 | 100% | 1 | 2 | 1 | 0 | 8 | 2 | F | Los Angeles |\n| Kobe Bryant | 25 | 10 | 4 | 3 | 4-13 | 31% | 2-7 | 29% | 0-0 | 0% | 2 | 2 | 0 | 0 | 4 | 2 | G | Los Angeles |\n| Anthony Brown | 35 | 7 | 3 | 1 | 3-9 | 33% | 1-4 | 25% | 0-0 | 0% | 1 | 1 | 0 | 0 | 3 | 1 | F | Los Angeles |\n| Larry Nance Jr. | 18 | 7 | 5 | 1 | 3-6 | 50% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 3 | 2 | 2 | N/A | Los Angeles |\n| Ryan Kelly | 5 | 6 | 3 | 0 | 2-2 | 100% | 0-0 | 0% | 2-4 | 50% | 0 | 0 | 0 | 1 | 2 | 0 | N/A | Los Angeles |\n| Brandon Bass | 23 | 6 | 4 | 3 | 2-5 | 40% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 2 | 1 | 3 | 1 | N/A | Los Angeles |\n| Roy Hibbert | 19 | 6 | 1 | 1 | 3-7 | 43% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 1 | 0 | 4 | C | Los Angeles |\n| D'Angelo Russell | 24 | 3 | 4 | 4 | 1-7 | 14% | 1-4 | 25% | 0-0 | 0% | 1 | 3 | 0 | 0 | 4 | 1 | N/A | Los Angeles |\n| Tarik Black | 5 | 2 | 0 | 0 | 0-2 | 0% | 0-0 | 0% | 2-2 | 100% | 1 | 0 | 0 | 0 | 0 | 2 | N/A | Los Angeles |\n| Marcelo Huertas | 5 | 0 | 2 | 3 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | Los Angeles |\n| Metta World Peace | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Jimmy Butler | 31 | 26 | 5 | 10 | 11-17 | 65% | 1-2 | 50% | 3-3 | 100% | 4 | 0 | 0 | 1 | 4 | 1 | G | Chicago |\n| Pau Gasol | 31 | 21 | 12 | 7 | 9-17 | 53% | 0-0 | 0% | 3-3 | 100% | 1 | 3 | 1 | 1 | 11 | 3 | C | Chicago |\n| Derrick Rose | 29 | 16 | 7 | 5 | 7-12 | 58% | 0-2 | 0% | 2-2 | 100% | 1 | 1 | 0 | 0 | 7 | 2 | G | Chicago |\n| Doug McDermott | 24 | 15 | 2 | 1 | 6-15 | 40% | 3-6 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 4 | N/A | Chicago |\n| Taj Gibson | 36 | 9 | 11 | 1 | 4-10 | 40% | 0-0 | 0% | 1-2 | 50% | 2 | 1 | 2 | 4 | 7 | 2 | F | Chicago |\n| E'Twaun Moore | 36 | 8 | 2 | 1 | 3-9 | 33% | 0-3 | 0% | 2-2 | 100% | 2 | 1 | 1 | 2 | 0 | 0 | F | Chicago |\n| Aaron Brooks | 18 | 6 | 2 | 1 | 2-7 | 29% | 2-4 | 50% | 0-0 | 0% | 0 | 1 | 1 | 0 | 2 | 2 | N/A | Chicago |\n| Tony Snell | 5 | 6 | 1 | 0 | 3-3 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Chicago |\n| Bobby Portis | 22 | 4 | 7 | 1 | 1-4 | 25% | 0-0 | 0% | 2-2 | 100% | 2 | 0 | 0 | 4 | 3 | 2 | N/A | Chicago |\n| Cameron Bairstow | 4 | 2 | 2 | 1 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 2 | N/A | Chicago |\n| Cristiano Felicio | 3 | 1 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Chicago |\n| Kirk Hinrich | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Nikola Mirotic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |" + }, + { + "from": "human", + "value": "This image shows the box-score table and the line-score table of an NBA game between Lakers and Bulls on 2016-01-28. Write a detailed game summary based on the data statistics." + }, + { + "from": "gpt", + "value": "The Chicago Bulls (26-19) took care of business against the Los Angeles Lakers (9-39) on Thursday in a 114-91 win. Chicago got off to a hot start and they never looked back after that. They took a 32-15 lead in the first quarter and the game never seemingly got close after that point. The defense was key for the Bulls on Thursday, as they held the Lakers to just 38 percent shooting and drew 14 turnovers in the win. Chicago also dominated the rebounding as they snatched down 51 rebounds to the Lakers 41. The shooting was a big difference as well, with the Bulls shooting 50 percent and scoring 56 points in the paint while allowing the Lakers to score just 26 paint points. The Bulls have been struggling recently, but this date with the Lakers is just what the doctor ordered. Derrick Rose didn’t have a huge game statistically with just 16 points and five assists, but he had a burst that was undeniable and a great sign for Bulls fans for the future. Jimmy Butler was once again the hero, as he tallied 26 points, five rebounds and 10 assists in the win. Pau Gasol also played great, as he amassed 21 points, 12 rebounds and seven assists in the victory. The Bulls will look to keep this momentum going on Sunday against the Los Angeles Clippers. This marked the Lakers 12th loss in their last 13 games and their seventh loss in their last eight games by at least 13 points. Lou Williams sat out this game with an illness and it was clear they really missed them with no Lakers player having a big night. Jordan Clarkson led the team with 16 points, but had the worst plus-minus at a-29. Julius Randle had a solid game as well, as he scored 14 points to go along with eight rebounds. Up next for the Lakers is a date against the Los Angeles Clippers on Friday." + } + ] + }, + { + "id": "table_instructV_multi_round_23063", + "image": "table_instructV/images/TABMWP_1904.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $260 | 11,100 | 1,500 |\n| $290 | 9,100 | 6,100 |\n| $320 | 7,100 | 10,700 |\n| $350 | 5,100 | 15,300 |\n| $380 | 3,100 | 19,900 |" + }, + { + "from": "human", + "value": "Solve this problem according to the provided picture in a step-wise manner. Output the final answer as JSON in the format {\"answer\": \"\"}.\nLook at the table. Then answer the question. At a price of $320, is there a shortage or a surplus? (A) shortage (B) surplus" + }, + { + "from": "gpt", + "value": "At the price of $320, the quantity demanded is less than the quantity supplied. There is too much of the good or service for sale at that price. So, there is a surplus.\n\n\nThus, the final answer is {\"answer\": \"surplus\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_23107", + "image": "table_instructV/images/TabFact_1-18018214-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| position | club | games played | wins | draws | loses | goals scored | goals conceded | points |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | fbk kaunas | 36 | 26 | 7 | 3 | 76 | 13 | 85 |\n| 2 | fk atlantas | 36 | 19 | 12 | 5 | 66 | 29 | 69 |\n| 3 | fk žalgiris vilnius | 36 | 20 | 9 | 7 | 64 | 39 | 69 |\n| 4 | fk ekranas | 36 | 15 | 10 | 11 | 58 | 38 | 55 |\n| 5 | inkaras kaunas | 36 | 11 | 12 | 13 | 50 | 44 | 45 |\n| 6 | geležinis vilkas vilnius | 36 | 10 | 6 | 20 | 42 | 69 | 36 |\n| 7 | nevėžis kėdainiai | 36 | 8 | 11 | 17 | 33 | 54 | 35 |\n| 8 | sakalas šiauliai | 36 | 7 | 13 | 16 | 32 | 61 | 34 |\n| 9 | vėtra rūdiškės | 36 | 7 | 11 | 18 | 32 | 57 | 32 |" + }, + { + "from": "human", + "value": "Analyze the table picture about '2001 lff lyga' and classify whether the next hypothesis is upheld or disproved by the table. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\n\nfbk kaunas had the fewesr number of draws on the table" + }, + { + "from": "gpt", + "value": "By using the table as supporting evidence, it is evident that the hypothesis is incorrect. Consequently, the answer is {\"answer\": \"disproved\"}." + }, + { + "from": "human", + "value": "This is a table named '2001 lff lyga', please determine whether the given claim is substantiated or opposed by the table information. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nfbk kaunas , the team at position 1 , had 7 draws" + }, + { + "from": "gpt", + "value": "Based on the table information, the claim is true. Thus, the answer is {\"answer\": \"substantiated\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_23115", + "image": "table_instructV/images/Rotowire_train_table_2351.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pacers | Indiana | 123 | 28 | 27 | 35 | 33 | 28 | 42 | 14 | 52 | 61 | 50 | 8 | 5 | | | | |\n| Bucks | Milwaukee | 86 | 25 | 26 | 16 | 19 | 19 | 43 | 23 | 43 | 68 | 29 | 5 | 8 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| CJ Miles | 25 | 21 | 1 | 1 | 7-16 | 44% | 3-9 | 33% | 4-5 | 80% | 3 | 1 | 0 | 0 | 1 | 3 | F | Indiana |\n| Paul George | 29 | 20 | 7 | 7 | 6-17 | 35% | 3-9 | 33% | 5-6 | 83% | 2 | 3 | 0 | 0 | 7 | 3 | F | Indiana |\n| Jordan Hill | 28 | 20 | 11 | 1 | 9-10 | 90% | 0-0 | 0% | 2-2 | 100% | 2 | 0 | 1 | 2 | 9 | 0 | N/A | Indiana |\n| Glenn Robinson | 21 | 17 | 0 | 0 | 6-7 | 86% | 4-4 | 100% | 1-2 | 50% | 2 | 1 | 0 | 0 | 0 | 0 | N/A | Indiana |\n| Chase Budinger | 30 | 13 | 1 | 3 | 5-9 | 56% | 3-4 | 75% | 0-0 | 0% | 1 | 2 | 0 | 0 | 1 | 1 | G | Indiana |\n| Monta Ellis | 30 | 12 | 5 | 5 | 5-9 | 56% | 1-1 | 100% | 1-3 | 33% | 2 | 3 | 1 | 1 | 4 | 2 | G | Indiana |\n| Rodney Stuckey | 22 | 7 | 2 | 5 | 3-9 | 33% | 0-2 | 0% | 1-4 | 25% | 1 | 1 | 1 | 0 | 2 | 1 | N/A | Indiana |\n| Lavoy Allen | 29 | 6 | 8 | 5 | 3-7 | 43% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 1 | 4 | 4 | 2 | N/A | Indiana |\n| Ian Mahinmi | 22 | 4 | 7 | 1 | 2-6 | 33% | 0-0 | 0% | 0-1 | 0% | 1 | 1 | 1 | 4 | 3 | 1 | C | Indiana |\n| Solomon Hill | 5 | 3 | 0 | 0 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Indiana |\n| Myles Turner | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Joe Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| George Hill | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Bucks | | | | | | | | | | | | | | | | | | |\n| Greg Monroe | 24 | 11 | 14 | 3 | 4-10 | 40% | 0-0 | 0% | 3-4 | 75% | 1 | 2 | 1 | 7 | 7 | 2 | C | Milwaukee |\n| Jabari Parker | 21 | 10 | 4 | 1 | 4-8 | 50% | 0-0 | 0% | 2-2 | 100% | 2 | 2 | 1 | 3 | 1 | 1 | F | Milwaukee |\n| O.J. Mayo | 22 | 10 | 2 | 1 | 4-8 | 50% | 2-5 | 40% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 2 | N/A | Milwaukee |\n| Giannis Antetokounmpo | 29 | 9 | 5 | 2 | 3-8 | 38% | 0-0 | 0% | 3-4 | 75% | 2 | 3 | 2 | 0 | 5 | 3 | F | Milwaukee |\n| Khris Middleton | 28 | 8 | 2 | 1 | 3-11 | 27% | 1-4 | 25% | 1-2 | 50% | 2 | 1 | 1 | 0 | 2 | 1 | G | Milwaukee |\n| Michael Carter-Williams | 26 | 7 | 3 | 3 | 3-5 | 60% | 0-0 | 0% | 1-3 | 33% | 0 | 5 | 0 | 0 | 3 | 3 | G | Milwaukee |\n| Rashad Vaughn | 5 | 7 | 1 | 1 | 3-4 | 75% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Milwaukee |\n| John Henson | 12 | 6 | 3 | 1 | 2-3 | 67% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 3 | 3 | N/A | Milwaukee |\n| Johnny O'Bryant III | 16 | 4 | 2 | 0 | 2-6 | 33% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 1 | 1 | 1 | N/A | Milwaukee |\n| Greivis Vasquez | 15 | 4 | 1 | 3 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 4 | 0 | 0 | 1 | 2 | N/A | Milwaukee |\n| Miles Plumlee | 12 | 4 | 4 | 1 | 2-6 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 2 | 2 | 0 | N/A | Milwaukee |\n| Jerryd Bayless | 19 | 3 | 2 | 2 | 1-5 | 20% | 1-5 | 20% | 0-0 | 0% | 1 | 2 | 0 | 0 | 2 | 1 | N/A | Milwaukee |\n| Chris Copeland | 10 | 3 | 0 | 0 | 1-3 | 33% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Milwaukee |" + }, + { + "from": "human", + "value": "Given the table titled 'Data statistics of Pacers vs Bucks on 2015-11-21', write a game summary in detail." + }, + { + "from": "gpt", + "value": "No Milwaukee player managed above 11 points as the Bucks (5-8) were pulverized by the Indiana Pacers (8-5) at Bankers Life Fieldhouse. The Pacers have now won five or their last six, due in large part to the extremely high-caliber play of star small forward Paul George. Despite having an off shooting night (just 6-for-17), George contributed positively to the Indiana effort, tallying seven rebounds and seven assists whle playing outstanding perimeter defense. Indiana on the whole shot the lights out, hitting 52 percent of their shots from the field and 50 percent of their three-point attempts. Indiana 's team defense also looked beautiful, as the Bucks were held to just 29 percent from beyond the arc and committed 23 turnovers. While things were firing on all cyllinders for Indiana, the same did n't hold true on the Bucks' side of things. 20-year-old small forward Giannis `` The Greek Freak '' Antetenkoumpo had a rare inefficient night from the field, tallying just nine points on 3-for-8 shooting. Point guard Michael Carter-Williams also struggled, posting just three assists while turning the ball over three times. Saturday marked the Bucks' third straight loss, a trend they will look to combat as they prepare for a home matchup against the Pistons. The Pacers, meanwhile, will look to continue their hot streak as they travel to Washington to take on the Wizards." + }, + { + "from": "human", + "value": "the 2nd column\nExtract the contents of cells in the above column. Show the cells in a column in the JSON format {\"column_id\":\"\", \"cell_list\":\"\"}. For example, {\"column_id\":\"6\", \"cell_list\": [\"A\", \"B\", \"C\"]}." + }, + { + "from": "gpt", + "value": "The target cell values of the 2nd column: {\"column_id\": \"2\", \"cell_list\": ['CITY', 'Indiana', 'Milwaukee', '', 'MIN', '', '25', '29', '28', '21', '30', '30', '22', '29', '22', '5', 'N/A', 'N/A', 'N/A', '', '24', '21', '22', '29', '28', '26', '5', '12', '16', '15', '12', '19', '10']}" + } + ] + }, + { + "id": "table_instructV_multi_round_23181", + "image": "table_instructV/images/TABMWP_33900.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| Number of plates | Number of raspberry bars |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | 40 |\n| 5 | 50 |\n| 6 | ? |" + }, + { + "from": "human", + "value": "Use the provided table image to solve the math challenge step by step. In the last of your solution, output the final answer as JSON in the format {\"answer\": \"\"}.\nEach plate has 10 raspberry bars. How many raspberry bars are on 6 plates? (Unit: raspberry bars)" + }, + { + "from": "gpt", + "value": "Count by tens. Use the chart: there are 60 raspberry bars on 6 plates.\n\nTherefore, the final answer is {\"answer\": \"60\"}." + }, + { + "from": "human", + "value": "Please read the table in this image and return a latex-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|}\n\\hline\n Number of plates & Number of raspberry bars \\\\\n\\hline\n 1 & 10 \\\\\n\\hline\n 2 & 20 \\\\\n\\hline\n 3 & 30 \\\\\n\\hline\n 4 & 40 \\\\\n\\hline\n 5 & 50 \\\\\n\\hline\n 6 & ? \\\\\n\\hline\n\\end{tabular}" + } + ] + }, + { + "id": "table_instructV_multi_round_23235", + "image": "table_instructV/images/TabFact_1-27823058-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| series | episode | title | directed by | written by | original air date |\n| --- | --- | --- | --- | --- | --- |\n| 23 | 1 | guess who 's not coming to dinner | james burrows | david kohan & max mutchnick | september 21 , 1999 |\n| 24 | 2 | election | james burrows | adam barr | september 28 , 1999 |\n| 25 | 3 | das boob | james burrows | jhoni marchinko | november 2 , 1999 |\n| 26 | 4 | whose mom is it anyway | james burrows | alex herschlag | november 9 , 1999 |\n| 27 | 5 | polk defeats truman | james burrows | jeff greenstein | november 16 , 1999 |\n| 28 | 6 | to serve and disinfect | james burrows | katie palmer | november 23 , 1999 |\n| 29 | 7 | homo for the holidays | james burrows | alex herschlag | november 25 , 1999 |\n| 30 | 8 | terms of employment | james burrows | david kohan & max mutchnick | november 30 , 1999 |\n| 31 | 9 | i never promised you an olive garden | james burrows | jon kinnally & tracy poust | december 14 , 1999 |\n| 32 | 10 | tea and a total lack of sympathy | james burrows | jon kinnally & tracy poust | january 11 , 2000 |\n| 33 | 11 | seeds of discontent | james burrows | jhoni marchinko | january 25 , 2000 |\n| 34 | 12 | he 's come undone | james burrows | adam barr | february 8 , 2000 |\n| 36 | 14 | acting out | james burrows | david kohan & max mutchnick | february 22 , 2000 |\n| 37 | 15 | advise and resent | james burrows | jon kinnally & tracy poust | february 29 , 2000 |\n| 38 | 16 | hey la , hey la , my ex - boyfriend 's back | james burrows | jeff greenstein | march 14 , 2000 |\n| 39 | 17 | the hospital show | james burrows | adam barr | march 28 , 2000 |\n| 40 | 18 | sweet and sour charity | james burrows | gail lerner | april 4 , 2000 |\n| 41 | 19 | an affair to forget | james burrows | alex herschlag & laura kightlinger | april 18 , 2000 |\n| 42 | 20 | girls , interrupted | james burrows | jon kinnally , tracy poust & jhoni marchinko | may 2 , 2000 |\n| 43 | 21 | there but for the grace of grace | james burrows | michelle bochner | may 9 , 2000 |\n| 44 | 22 | my best friend 's tush | james burrows | ellen idelson & rob lotterstein | may 16 , 2000 |" + }, + { + "from": "human", + "value": "Presented with a table with the title 'will & grace (season 2)', distinguish whether the table confirms or refutes the following claim. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nclaim: there were 22 episodes in season 2 of will & grace" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the claim. Consequently, the answer is {\"answer\": \"confirms\"}." + }, + { + "from": "human", + "value": "Using the information in the table image about 'will & grace (season 2)', determine whether the next sentence is confirmed or contradicted by the table. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\n\nonly one episode was aired during december of 1999" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the sentence is valid. Hence, the answer is {\"answer\": \"confirmed\"}." + }, + { + "from": "human", + "value": "Based on the table image about 'will & grace (season 2)' and the subsequent claim, determine if the table confirms or refutes the subsequent claim. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nclaim: there were 32 episodes in season 2 of will & grace" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it refutes the claim. So, the answer is {\"answer\": \"refutes\"}." + }, + { + "from": "human", + "value": "According to the table information regarding 'will & grace (season 2)', tell me whether the provided table upholds or contradicts the sentence. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nseason 2 ran from august 1999 to june 2000" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it contradicts the sentence. Hence, the answer is {\"answer\": \"contradicts\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_23242", + "image": "table_instructV/images/TABMWP_17594.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| | In-line skates | Roller skates |\n| --- | --- | --- |\n| Age 8 | 5 | 4 |\n| Age 10 | 3 | 5 |" + }, + { + "from": "human", + "value": "Solve this problem according to the provided picture in a step-wise manner. In the last of your solution, output the final answer as JSON in the format {\"answer\": \"\"}.\nA skating rink attendant monitored the number of injuries at the rink over the past year. He tracked the ages of those injured and the kinds of skates worn during injury. What is the probability that a randomly selected injured skater was age 10 and was wearing in-line skates? Simplify any fractions." + }, + { + "from": "gpt", + "value": "Let A be the event \"the injured skater was age 10\" and B be the event \"the injured skater was wearing in-line skates\".\nTo find the probability that a injured skater was age 10 and was wearing in-line skates, first identify the sample space and the event.\nThe outcomes in the sample space are the different injured skaters. Each injured skater is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the injured skater was age 10 and was wearing in-line skates\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the injured skater was age 10 and was wearing in-line skates\", so look at the table to see how many injured skaters were age 10 and were wearing in-line skates.\nThe number of injured skaters who were age 10 and were wearing in-line skates is 3.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of injured skaters.\n5 + 3 + 4 + 5 = 17\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{3}{17}\nThe probability that a injured skater was age 10 and was wearing in-line skates is \\frac{3}{17}.\n\nSo, the answer is {\"answer\": \"3/17\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_23244", + "image": "table_instructV/images/TabFact_1-13426649-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| | title | directed by | written by | original air date | production code | us viewers (millions) |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | a love of a lifetime | alex graves | kevin falls | september 24 , 2007 | 1anj79 | 9.16 |\n| 2 | friendly skies | alex graves | kevin falls | october 1 , 2007 | 1anj01 | 8.23 |\n| 3 | game three | alex graves | tom szentgyorgyi | october 8 , 2007 | 1anj02 | 6.94 |\n| 4 | the year of the rabbit | laura innes | joan b weiss | october 15 , 2007 | 1anj03 | 6.75 |\n| 5 | the legend of dylan mccleen | allison liddi | matt mcguinness | october 22 , 2007 | 1anj04 | 6.06 |\n| 6 | keepers | andrew bernstein | paul redford | october 29 , 2007 | 1anj05 | 5.75 |\n| 7 | double down | alex graves | j r orci | november 5 , 2007 | 1anj06 | 5.13 |\n| 8 | winterland | helen shaver | dana calvo | november 12 , 2007 | 1anj07 | 6.09 |\n| 9 | emily (part 1) | frederick king keller | juan carlos coto | november 19 , 2007 | 1anj08 | 5.61 |\n| 10 | blowback (part 2) | karen gaviola | kevin falls | november 26 , 2007 | 1anj09 | 6.05 |\n| 11 | home by another way | lesli linka glatter | tom szentgyorgyi | december 10 , 2007 | 1anj10 | 5.28 |\n| 12 | the hanged man (part 1) | steven depaul | tracy mcmillan | december 17 , 2007 | 1anj11 | 4.24 |" + }, + { + "from": "human", + "value": "In tables, merged cells are often found and we can denote them as JSON {'top-left':(X, Y), 'bottom-right':(Z, W)}, with '(X, Y)' and '(Z, W)' indicating the (row_id, column_id) of the top-left and bottom-right cells of the merged region. Please scan the table image provided, find all occurrences of merged cells, and return their coordinates in the stated format. It's important to remember that row and column IDs begin from 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "This is a table image titled 'list of journeyman episodes', help me determine if the table substantiates or opposes the following claim. Show your final answer in the JSON format {\"answer\": \"\"}.\nthe episode with the least us viewers was directed by steven depaul" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it substantiates the claim. So, the answer is {\"answer\": \"substantiates\"}." + }, + { + "from": "human", + "value": "Examine the table titled 'list of journeyman episodes' and judge whether the table affirms or opposes the following hypothesis. Show your final answer in the JSON format {\"answer\": \"\"}.\nthe hanged man (part 1) had the least us viewers" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the hypothesis. Consequently, the answer is {\"answer\": \"affirms\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_23270", + "image": "table_instructV/images/TABMWP_22298.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 1 | 2 |\n| 20 | 4 |\n| 20 | 8 |" + }, + { + "from": "human", + "value": "Solve the math problem below using the information from the table. Detail each step. In the last of your solution, output the final answer as JSON in the format {\"answer\": \"\"}.\n\nLook at this table. Is this relation a function? (A) yes (B) no" + }, + { + "from": "gpt", + "value": "Look at the x-values in the table.\n\nThe x-value 20 is paired with multiple y-values, so the relation is not a function.\n\nTherefore, the final answer is {\"answer\": \"no\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_23316", + "image": "table_instructV/images/ToTTo_train_table_8489.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Date | Event | Venue | Location | Main event |\n| --- | --- | --- | --- | --- |\n| January 14 | Final Resolution | Impact Zone | Orlando, Florida | Abyss vs. Christian Cage vs. Sting |\n| February 11 | Against All Odds | Impact Zone | Orlando, Florida | Christian Cage vs. Kurt Angle |\n| March 11 | Destination X | Impact Zone | Orlando, Florida | Christian Cage vs. Samoa Joe |\n| April 15 | Lockdown | Family Arena | St. Charles, Missouri | Team Angle (Kurt Angle, Samoa Joe, Sting, Rhino and Jeff Jarrett) vs. Team Cage (Christian Cage, A.J. |\n| May 13 | Sacrifice | Impact Zone | Orlando, Florida | Christian Cage vs. Kurt Angle vs. Sting |\n| June 17 | Slammiversary | Nashville Municipal Auditorium | Nashville, Tennessee | Kurt Angle vs. A.J. Styles vs. Samoa Joe vs. Christian Cage vs. Chris Harris |\n| July 15 | Victory Road | Impact Zone | Orlando, Florida | Kurt Angle and Samoa Joe vs. Team 3D (Brother Ray and Brother Devon) |\n| August 12 | Hard Justice | Impact Zone | Orlando, Florida | Kurt Angle vs. Samoa Joe |\n| September 9 | No Surrender | Impact Zone | Orlando, Florida | Kurt Angle vs. Abyss |\n| October 14 | Bound for Glory | Arena at Gwinnett Center | Duluth, Georgia | Kurt Angle vs. Sting |\n| November 11 | Genesis | Impact Zone | Orlando, Florida | Sting and Booker T vs. Kurt Angle and Kevin Nash |\n| December 2 | Turning Point | Impact Zone | Orlando, Florida | Samoa Joe, Kevin Nash and Eric Young vs. The Angle Alliance (Kurt Angle, A.J. Styles and Tomko) |" + }, + { + "from": "human", + "value": "Presented is a Wikipedia table named 'List of Impact Wrestling pay-per-view events', which is extracted from a section heading '2007'.\nAs you can see, some table cells are highlighted with a different color. Please generate a one-sentence summary of these cells." + }, + { + "from": "gpt", + "value": "Lockdown was a wrestling pay-per-view (PPV) event, which took place on April 15, 2007 at the Family Arena in Saint Charles, Missouri." + } + ] + }, + { + "id": "table_instructV_multi_round_23409", + "image": "table_instructV/images/TAT-QA_d28839bf-4989-4ad4-acb4-c76e6eb815a9.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | December 31, 2019 | September 30, 2019 | June 30, 2019 | March 31, 2019 | December 31, 2018 |\n| --- | --- | --- | --- | --- | --- |\n| ACI On Premise | $1,977 | $1,925 | $1,880 | $1,861 | $1,875 |\n| ACI On Demand | 3,855 | 3,756 | 3,813 | 2,290 | 2,299 |\n| Total | $5,832 | $5,681 | $5,693 | $4,151 | $4,174 |\n| | December 31, 2019 | September 30, 2019 | June 30, 2019 | March 31, 2019 | December 31, 2018 |\n| Committed | $2,168 | $2,003 | $2,105 | $1,734 | $1,832 |\n| Renewal | 3,664 | 3,678 | 3,588 | 2,417 | 2,342 |\n| Total | $5,832 | $5,681 | $5,693 | $4,151 | $4,174 |" + }, + { + "from": "human", + "value": "Please consult the table and use it to respond to the question below. Return the final result as JSON in the format {\"answer\": []}.\nWhat was the percentage change in ACI on premise between December 31 and September 30, 2019?" + }, + { + "from": "gpt", + "value": "According to this table, we have the following calculations: ($1977-$1925)/$1925 = 2.7.\nThus, the answer is {\"answer\": [\"2.7\"]}." + }, + { + "from": "human", + "value": "Give you a column index and a table image, extract the corresponding cell values of this column:\nthe 4th column\n\nProvide the cells in a column in the JSON structure, using the format {\"column_id\":\"\", \"cell_list\":\"\"}." + }, + { + "from": "gpt", + "value": "The cells in the 4th column: {\"column_id\": \"4\", \"cell_list\": ['June 30, 2019', '$1,880', '3,813', '$5,693', 'June 30, 2019', '$2,105', '3,588', '$5,693']}" + } + ] + }, + { + "id": "table_instructV_multi_round_23484", + "image": "table_instructV/images/TabFact_1-17993994-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| | week 1 | week 2 | week 3 | week 4 | week 5 |\n| --- | --- | --- | --- | --- | --- |\n| january | jillian beyor | danielle richardson | natasha budhi | jaye meredith | jennifer lee |\n| february | jennifer hurt | joey mansfield | veronica tejeda | miranda janine | - |\n| march | daniella bae | marie francis | kylie jayde anderson | alexia mason | - |\n| april | patrycja mikula | nikki fiction | adriana | gianna lowe | deanna mccarver |\n| may | cristal camden | shandie | cherish lee crum | stephanie olson | - |\n| june | carlotta champagne | jenna jordan | jo garcia | laurena lacey | - |\n| july | mallory dylan | mary karola | tamika curry | danielle carr | jessica jones |\n| august | yolanda kurpiarz | brie anna | kimberlee ann | lindsay saddler | - |\n| september | angi mari yangas | meghan allen | francessca demarco | maryann murray | - |\n| october | debbi davids | amanda hanshaw | sara stokes | caitlin ferguson | melany denyse |\n| november | amanda batt | april ireland | trina marie | kristy joe | - |" + }, + { + "from": "human", + "value": "claim: shadie is the only one with won name\nJudge whether the above claim is supported or disputed by the given table named 'list of playboy cyber girls of the week'. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}." + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the claim is valid. Hence, the answer is {\"answer\": \"supported\"}." + }, + { + "from": "human", + "value": "Watch this table and show a latex-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|c|}\n\\hline\n & week 1 & week 2 & week 3 & week 4 & week 5 \\\\\n\\hline\n january & jillian beyor & danielle richardson & natasha budhi & jaye meredith & jennifer lee \\\\\n\\hline\n february & jennifer hurt & joey mansfield & veronica tejeda & miranda janine & - \\\\\n\\hline\n march & daniella bae & marie francis & kylie jayde anderson & alexia mason & - \\\\\n\\hline\n april & patrycja mikula & nikki fiction & adriana & gianna lowe & deanna mccarver \\\\\n\\hline\n may & cristal camden & shandie & cherish lee crum & stephanie olson & - \\\\\n\\hline\n june & carlotta champagne & jenna jordan & jo garcia & laurena lacey & - \\\\\n\\hline\n july & mallory dylan & mary karola & tamika curry & danielle carr & jessica jones \\\\\n\\hline\n august & yolanda kurpiarz & brie anna & kimberlee ann & lindsay saddler & - \\\\\n\\hline\n september & angi mari yangas & meghan allen & francessca demarco & maryann murray & - \\\\\n\\hline\n october & debbi davids & amanda hanshaw & sara stokes & caitlin ferguson & melany denyse \\\\\n\\hline\n november & amanda batt & april ireland & trina marie & kristy joe & - \\\\\n\\hline\n\\end{tabular}" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table with its caption 'list of playboy cyber girls of the week', the goal is to distinguish whether the following sentence is supported or contradicted by the table. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nangi mari yangas is the only one with 3 names" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the sentence is true. So, the answer is {\"answer\": \"supported\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_23535", + "image": "table_instructV/images/TAT-QA_c1e1d2be-ee4f-45c7-87d8-e8d218657bcb.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| (In thousands) | 2019 | 2018 | 2017 |\n| --- | --- | --- | --- |\n| Current | | | |\n| Federal | $(518) | $(8,001) | $466 |\n| State | (1,065) | (476) | (150) |\n| International | (282) | 11,705 | 6,458 |\n| Total Current | (1,865) | 3,228 | 6,774 |\n| Deferred | | | |\n| Federal | 24,801 | (14,448) | 8,024 |\n| State | 5,815 | (3,390) | 1,882 |\n| International | (546) | 581 | 4,167 |\n| Total Deferred | 30,070 | (17,257) | 14,073 |\n| Total Income Tax Expense (Benefit) | $28,205 | $(14,029) | $20,847 |" + }, + { + "from": "human", + "value": "The image shows a table. Answer the following question based on the table. Besides, your final answer should be in the JSON format {\"answer\": []} such as {\"answer\": [\"87.56\", \"12.43\"]}.\nWhat was the change in current state expense (benefit) between 2018 and 2019?" + }, + { + "from": "gpt", + "value": "Based on the given table:\n-1065-(-476) = -589\nTherefore, the answer is {\"answer\": [\"-589\"]}." + }, + { + "from": "human", + "value": "Return the merged cell areas in the provided table image. Your answer should be in the JSON format of {'top-left':(x, y), 'bottom-right':(z, w)}, where (x, y) and (z, w) represent the (row_id, column_id) coordinates of top-left cell and bottom-right cell, respectively. Note that row_id and column_id start from 1 instead of 0." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "What was the expense (benefit) of the current Federal component in 2019?\nAccording to the shown table image, answer the question in brief. Format the ultimate answer as a JSON, using the structure {\"answer\": []}." + }, + { + "from": "gpt", + "value": "Based on the table information, the answer is {\"answer\": [\"$(518)\"]}." + }, + { + "from": "human", + "value": "Analyze the table and respond to the question that follows. Present the final answer in a JSON format {\"answer\": []}.\nWhat is the percentage change in total income tax expense (benefit) between 2018 and 2019?" + }, + { + "from": "gpt", + "value": "Based on the table, we need to conduct the following computations:\n($28205-(-$14029))/-$14029 = -301.05\nTherefore, the final answer: {\"answer\": [\"-301.05\"]}." + }, + { + "from": "human", + "value": "Considerding the provided table image, extract the cells' values in the following postions:\nthe 6th row and the 4th column\nthe 12th row and the 4th column\nthe 1st row and the 2nd column\n\nProvide the value of all target cells in the JSON structure, using the format {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"\"}." + }, + { + "from": "gpt", + "value": "The target cell values are as follows:\n{\"row_id\":\"6\", \"column_id\":\"4\", \"cell_value\":\"6,774\"}\n{\"row_id\":\"12\", \"column_id\":\"4\", \"cell_value\":\"$20,847\"}\n{\"row_id\":\"1\", \"column_id\":\"2\", \"cell_value\":\"2019\"}" + }, + { + "from": "human", + "value": "Answer the question based on this table. Present the final answer as JSON in the format {\"answer\": []}.\nQuestion: What was the change in deferred federal expense (benefit) between 2018 and 2019?\nAnswer: " + }, + { + "from": "gpt", + "value": "Based on the table, we need to conduct the following computations:\n24801-(-14448) = 39249\nTherefore, the final answer: {\"answer\": [\"39249\"]}." + }, + { + "from": "human", + "value": "Read the table to answer the following questions in brief. The concluding answer should be in the JSON structure, formatted as {\"answer\": []}. For instance, {\"answer\": [\"23\", \"14.5\"]}.\nWhat is the expense (benefit) for current International component?" + }, + { + "from": "gpt", + "value": "According to the table, the final answer is {\"answer\": [\"(282)\"]}." + } + ] + }, + { + "id": "table_instructV_multi_round_23556", + "image": "table_instructV/images/TAT-QA_8e30901a-32b0-447e-bbd8-5079f0eba975.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| | | Fiscal Year Ended | |\n| --- | --- | --- | --- |\n| | December 27, 2019 | December 28, 2018 | December 29, 2017 |\n| Senior secured term loan | $238,129 | $239,745 | $238,435 |\n| Total Convertible debt | $154,000 | $— | $36,750 |\n| Borrowings outstanding on asset-based loan facility | $— | $44,185 | $— |\n| Finance leases and other financing obligations | $3,905 | $193 | $664 |" + }, + { + "from": "human", + "value": "Your task is as follows:\nIn this table image, locate all merged cells and detail their regions using the JSON {'top-left':(X, Y), 'bottom-right':(Z, W)}. Here, '(X, Y)' and '(Z, W)' denote the coordinates (row_id, column_id) of the top-left and bottom-right cells of the merged regions, respectively. Keep in mind that row and column IDs start from 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "Read the table to answer the following questions in brief. Conclude your response with a final answer in the JSON format {\"answer\": []}.\nWhich fiscal year has a higher value of senior secured term loan?" + }, + { + "from": "gpt", + "value": "According to the table, the final answer is {\"answer\": [\"2018\"]}." + }, + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the HTML representation of the table in text format." + }, + { + "from": "gpt", + "value": "\n\n\n\n\n\n\n
Fiscal Year Ended
December 27, 2019 December 28, 2018 December 29, 2017
Senior secured term loan $238,129 $239,745 $238,435
Total Convertible debt $154,000 $— $36,750
Borrowings outstanding on asset-based loan facility $— $44,185 $—
Finance leases and other financing obligations $3,905 $193 $664
" + }, + { + "from": "human", + "value": "The image shows a table. Answer the following question based on the table. Present the final answer as JSON in the format {\"answer\": []}.\nWhat is the percentage change in the finance leases and other financing obligations between fiscal years 2018 and 2019?" + }, + { + "from": "gpt", + "value": "Based on the table, we need to conduct the following computations:\n(3905-193)/193 = 1923.32\nTherefore, the final answer: {\"answer\": [\"1923.32\"]}." + } + ] + }, + { + "id": "table_instructV_multi_round_23582", + "image": "table_instructV/images/TABMWP_28504.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Number of train cars | Number of passengers |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | ? |" + }, + { + "from": "human", + "value": "Please solve the problem based on the given image. Format the ultimate answer as a JSON, using the structure {\"answer\": \"\"}.\nProblem: Each train car has 5 passengers. How many passengers are in 4 train cars?\nYour Solution:" + }, + { + "from": "gpt", + "value": "Count by fives. Use the chart: there are 20 passengers in 4 train cars.\n\nThus, the final answer is {\"answer\": \"20\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_23604", + "image": "table_instructV/images/TABMWP_31126.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Number of tins | Number of pretzels |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | ? |" + }, + { + "from": "human", + "value": "Look at the table and break down the following math word problem, step by step. Format the ultimate answer as a JSON, using the structure {\"answer\": \"\"}.\nEach tin has 2 pretzels. How many pretzels are in 5 tins? (Unit: pretzels)" + }, + { + "from": "gpt", + "value": "Count by twos. Use the chart: there are 10 pretzels in 5 tins.\n\nThus, the final answer is {\"answer\": \"10\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_23693", + "image": "table_instructV/images/TabFact_2-16403890-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| institution | location | founded | affiliation | enrollment | team nickname | primary conference | home rink |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| duke university | durham , nc | 1838 | private / non - sectarian | 6496 | blue devils | atlantic coast conference ( d - i ) | triangle sports plex |\n| elon university | elon , nc | 1889 | private | 5225 | phoenix | southern conference ( d - i ) | triangle sports plex / greensboro ice house |\n| georgetown university | washington , dc | 1789 | private / catholic | 13612 | hoyas | big east conference ( d - i ) | kettler capitals iceplex |\n| george washington university | washington , dc | 1821 | private | 6655 | colonials | atlantic 10 conference ( d - i ) | fort dupont ice arena / kettler capitals iceplex |\n| university of north carolina | chapel hill , nc | 1789 | public | 17895 | tar heels | atlantic coast conference ( d - i ) | triangle sports plex |\n| north carolina state university | raleigh , nc | 1887 | public | 24741 | wolfpack | atlantic coast conference ( d - i ) | raleigh center ice |\n| wake forest university | winston - salem , nc | 1834 | private / non - sectarian | 7400 | demon deacons | atlantic coast conference ( d - i ) | winston - salem joel coliseum annex |" + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following statement is entailed or challenged by the table. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\ntable title:atlantic coast collegiate hockey league\nstatement: north caroline state university was founded before wake forest university in the atlantic coast collegiate hockey league" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the statement is not valid. Hence, the answer is {\"answer\": \"challenged\"}." + }, + { + "from": "human", + "value": "Examine the table image with the title 'atlantic coast collegiate hockey league', classify whether the statement is confirmed or challenged based on the table's content and title. Show your final answer in the JSON format {\"answer\": \"\"}.\nstatement: in the atlantic coast collegiate hockey league , duke university was founded before elon university" + }, + { + "from": "gpt", + "value": "Based on the table information, the statement is true. Thus, the answer is {\"answer\": \"confirmed\"}." + }, + { + "from": "human", + "value": "Analyze this table picture about 'atlantic coast collegiate hockey league' and classify whether the given table supports or conflicts with the hypothesis. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\n\nin the atlantic coast collegiate hockey league , elon university was founded before duke university" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it conflicts with the hypothesis. Hence, the answer is {\"answer\": \"conflicts with\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title 'atlantic coast collegiate hockey league', and determine whether the given claim is entailed or challenged by the table information. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nclaim: in the atlantic coast collegiate hockey league , four teams will play in the atlantic coast conference" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the claim is true. So, the answer is {\"answer\": \"entailed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_23719", + "image": "table_instructV/images/TAT-QA_1770b431-5b3f-4374-a3c3-87d8a79bab5c.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| | Fiscal Year Ended June 30, | |\n| --- | --- | --- |\n| | 2019 | 2018 |\n| | (U.S. $ in thousands) | |\n| Non-current operating assets | | |\n| United States | $819,227 | $412,112 |\n| Australia | 18,842 | 16,730 |\n| India | 9,286 | — |\n| | $847,355 | $428,842 |" + }, + { + "from": "human", + "value": "row 7 and column 2\nExtract the content of cell in the above position, identified by row and column indices. The target cell value should be presented in the JSON format of {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"\"}, e.g., {\"row_id\":\"10\", \"column_id\":\"3\", \"cell_value\":\"District\"}." + }, + { + "from": "gpt", + "value": "The target cell value in row 7 and column 2 is {\"row_id\":\"7\", \"column_id\":\"2\", \"cell_value\":\"9,286\"}." + }, + { + "from": "human", + "value": "Read the table to answer the following questions. Return the final result as JSON in the format {\"answer\": []}.\nIn fiscal year ended June 30, 2018, what is the percentage constitution of the non-current operating assets in the United States among the total non-current operating assets owned by the Group?" + }, + { + "from": "gpt", + "value": "Based on the table, we need to conduct the following computations:\n412112/428842 = 96.1\nTherefore, the final answer: {\"answer\": [\"96.1\"]}." + }, + { + "from": "human", + "value": "Read the table to answer the following questions in brief. Return the final result as JSON in the format {\"answer\": []}.\nWhat is the value of non-current operating assets in India in fiscal year ended June 30, 2019?" + }, + { + "from": "gpt", + "value": "According to the table, the final answer is {\"answer\": [\"9,286\"]}." + }, + { + "from": "human", + "value": "Look at the table, and use the information to answer the question. Format the ultimate answer as a JSON, using the structure {\"answer\": []}.\nWhat is the average total non-current operating assets for fiscal years ended June 30, 2018 and 2019?" + }, + { + "from": "gpt", + "value": "According to this table, we have the following calculations: (847355+428842)/2 = 638098.5.\nThus, the answer is {\"answer\": [\"638098.5\"]}." + }, + { + "from": "human", + "value": "Please consult the table and use it to respond to the question below. Present the final answer in a JSON format {\"answer\": []}.\nIn fiscal year ended June 30, 2019, how many geographic regions have non-current operating assets of more than $10,000 thousand?" + }, + { + "from": "gpt", + "value": "By referring to the table, we are required to enumerate the following:\nUnited States\nAustralia\nConsequently, the answer is {\"answer\": [\"2\"]}." + }, + { + "from": "human", + "value": "Please consult the table and use it to answer the question concisely. Present the final answer in a JSON format {\"answer\": []}.\nWhat is the total non-current operating assets for fiscal year ended June 30, 2018 and 2019 respectively?" + }, + { + "from": "gpt", + "value": "According to the table, the final answer is {\"answer\": [\"$428,842\", \"$847,355\"]}." + } + ] + }, + { + "id": "table_instructV_multi_round_23837", + "image": "table_instructV/images/Rotowire_train_table_1924.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Magic | Orlando | 87 | 21 | 25 | 25 | 16 | 19 | 47 | 14 | 39 | 65 | 24 | 20 | 21 | | | | |\n| 76ers | Philadelphia | 96 | 23 | 24 | 34 | 15 | 20 | 41 | 14 | 49 | 71 | 47 | 6 | 38 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Elfrid Payton | 41 | 21 | 6 | 10 | 8-13 | 62% | 0-1 | 0% | 5-9 | 56% | 2 | 3 | 0 | 3 | 3 | 2 | G | Orlando |\n| Tobias Harris | 36 | 15 | 10 | 2 | 5-13 | 39% | 1-3 | 33% | 4-7 | 57% | 1 | 1 | 1 | 1 | 9 | 2 | F | Orlando |\n| Nikola Vucevic | 37 | 15 | 11 | 1 | 7-15 | 47% | 0-0 | 0% | 1-2 | 50% | 2 | 2 | 1 | 2 | 9 | 2 | C | Orlando |\n| Mario Hezonja | 16 | 9 | 1 | 0 | 3-5 | 60% | 0-1 | 0% | 3-3 | 100% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Orlando |\n| Evan Fournier | 37 | 9 | 3 | 1 | 3-14 | 21% | 2-5 | 40% | 1-2 | 50% | 5 | 2 | 0 | 2 | 1 | 2 | G | Orlando |\n| Aaron Gordon | 32 | 7 | 8 | 1 | 3-7 | 43% | 0-2 | 0% | 1-1 | 100% | 0 | 1 | 0 | 2 | 6 | 1 | N/A | Orlando |\n| Jason Smith | 11 | 4 | 1 | 1 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 1 | 0 | 0 | N/A | Orlando |\n| Keith Appling | 6 | 4 | 1 | 0 | 1-3 | 33% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 1 | 3 | N/A | Orlando |\n| Channing Frye | 12 | 3 | 4 | 3 | 1-6 | 17% | 1-4 | 25% | 0-0 | 0% | 1 | 2 | 0 | 2 | 2 | 1 | F | Orlando |\n| Dewayne Dedmon | 5 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | Orlando |\n| Devyn Marble | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Orlando |\n| Shabazz Napier | 4 | 0 | 0 | 0 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Orlando |\n| Andrew Nicholson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Jahlil Okafor | 38 | 20 | 5 | 1 | 9-17 | 53% | 0-0 | 0% | 2-2 | 100% | 1 | 3 | 1 | 1 | 4 | 0 | C | Philadelphia |\n| Hollis Thompson | 30 | 17 | 3 | 0 | 7-10 | 70% | 3-5 | 60% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 2 | N/A | Philadelphia |\n| Isaiah Canaan | 28 | 15 | 1 | 1 | 5-8 | 63% | 3-4 | 75% | 2-2 | 100% | 2 | 2 | 0 | 0 | 1 | 1 | N/A | Philadelphia |\n| Ish Smith | 30 | 13 | 2 | 11 | 6-11 | 55% | 0-0 | 0% | 1-1 | 100% | 0 | 3 | 0 | 0 | 2 | 5 | G | Philadelphia |\n| Jerami Grant | 28 | 12 | 6 | 1 | 3-7 | 43% | 1-1 | 100% | 5-8 | 63% | 2 | 0 | 5 | 1 | 5 | 3 | N/A | Philadelphia |\n| Robert Covington | 30 | 8 | 11 | 1 | 2-8 | 25% | 2-7 | 29% | 2-2 | 100% | 3 | 4 | 0 | 0 | 11 | 3 | F | Philadelphia |\n| Nerlens Noel | 19 | 4 | 8 | 1 | 2-2 | 100% | 0-0 | 0% | 0-2 | 0% | 0 | 1 | 2 | 1 | 7 | 1 | F | Philadelphia |\n| Richaun Holmes | 12 | 4 | 1 | 0 | 2-3 | 67% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Philadelphia |\n| TJ McConnell | 18 | 3 | 4 | 4 | 0-5 | 0% | 0-0 | 0% | 3-4 | 75% | 0 | 0 | 0 | 1 | 3 | 3 | N/A | Philadelphia |\n| JaKarr Sampson | 8 | 0 | 0 | 0 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | G | Philadelphia |\n| Kendall Marshall | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Carl Landry | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Nik Stauskas | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |" + }, + { + "from": "human", + "value": "Given a table containing data statistics of an NBA basketball game between Magic and 76ers on 20/01/2016, generate a summary for this game according to the given table." + }, + { + "from": "gpt", + "value": "The Philadelphia 76ers (6-38) earned their first Eastern Conference victory Wednesday, defeating the Orlando Magic (20-21), 96-87. With the win, the Sixers are now 5-8 since trading for point guard Ish Smith. The deal, which sent two second-round picks to New Orleans in exchange for the former Sixer, brought in a veteran point guard to help organize Philadelphia 's ailing offense. In 13 games with the Sixers, Smith has boasted impressive averages of 17 points, 8 assists, and 2 steals per game. Smith 's presence in Philadelphia has helped spark a much-needed turnaround for the once 1-30 team. For the second straight game, rookie Jahlil Okafor led Philadelphia in scoring with 20 points. Okafor took a team-high 17 shots, asserting himself as an offensive presence. The Duke alum also grabbed a steal and recorded a block on the defensive end. Fellow big man Nerlens Noel, however, exited the game after just 19 minutes of play with what was reported as a headache and blurred vision. He did not return to action. The Magic faltered on both ends of the ball on Wednesday, hitting just 39 percent of their field goal attempts while allowing Philadelphia to make 49 percent and 47 percent from beyond the three-point line. Recently-returned sophomore Elfrid Payton led the team in points, assists, and minutes, notching a 21-point, 10-assist double-double in 41 minutes of play. This was a refreshing effort for Payton, who had struggled in his previous two contests after returning from injury. Unfortunately for Orlando, just two other players scored in double-digits, and Payton accounted for over half of the team 's assists. Orlando 's next matchup will be against the Hornets on Friday. Philadelphia will have three days of rest before playing host to Boston on Saturday night." + } + ] + }, + { + "id": "table_instructV_multi_round_23904", + "image": "table_instructV/images/Rotowire_train_table_928.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Magic | Orlando | 111 | 36 | 32 | 21 | 22 | 32 | 50 | 13 | 54 | 67 | 37 | 30 | 43 | | | | |\n| Bulls | Chicago | 89 | 22 | 28 | 21 | 18 | 20 | 40 | 13 | 41 | 65 | 25 | 36 | 36 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Dewayne Dedmon | 22 | 18 | 13 | 2 | 9-14 | 64% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 4 | 9 | 4 | C | Orlando |\n| Elfrid Payton | 30 | 15 | 3 | 10 | 7-9 | 78% | 0-0 | 0% | 1-1 | 100% | 0 | 3 | 2 | 1 | 2 | 1 | G | Orlando |\n| Jason Smith | 24 | 14 | 6 | 3 | 7-12 | 58% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 2 | 1 | 5 | 3 | N/A | Orlando |\n| Andrew Nicholson | 21 | 14 | 6 | 0 | 5-13 | 39% | 1-4 | 25% | 3-5 | 60% | 0 | 0 | 1 | 2 | 4 | 2 | N/A | Orlando |\n| Evan Fournier | 26 | 12 | 1 | 1 | 5-9 | 56% | 0-2 | 0% | 2-3 | 67% | 1 | 1 | 0 | 0 | 1 | 3 | F | Orlando |\n| Aaron Gordon | 27 | 9 | 5 | 6 | 4-9 | 44% | 1-3 | 33% | 0-0 | 0% | 2 | 1 | 1 | 2 | 3 | 4 | F | Orlando |\n| Devyn Marble | 22 | 8 | 7 | 0 | 3-6 | 50% | 1-2 | 50% | 1-1 | 100% | 0 | 0 | 0 | 1 | 6 | 1 | N/A | Orlando |\n| Brandon Jennings | 13 | 7 | 3 | 5 | 3-5 | 60% | 1-1 | 100% | 0-0 | 0% | 1 | 0 | 0 | 1 | 2 | 1 | N/A | Orlando |\n| CJ Watson | 28 | 6 | 5 | 3 | 2-5 | 40% | 1-2 | 50% | 1-2 | 50% | 0 | 1 | 0 | 0 | 5 | 1 | N/A | Orlando |\n| Mario Hezonja | 22 | 5 | 1 | 1 | 2-3 | 67% | 1-1 | 100% | 0-0 | 0% | 1 | 1 | 1 | 0 | 1 | 1 | G | Orlando |\n| Shabazz Napier | 5 | 3 | 0 | 1 | 1-4 | 25% | 1-3 | 33% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 0 | N/A | Orlando |\n| Ersan Ilyasova | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Victor Oladipo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Orlando |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Taj Gibson | 26 | 16 | 3 | 1 | 8-9 | 89% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 2 | 1 | 2 | F | Chicago |\n| Jimmy Butler | 30 | 12 | 5 | 1 | 5-10 | 50% | 0-1 | 0% | 2-4 | 50% | 2 | 1 | 1 | 0 | 5 | 2 | G | Chicago |\n| Doug McDermott | 21 | 12 | 3 | 0 | 5-10 | 50% | 2-2 | 100% | 0-0 | 0% | 0 | 1 | 0 | 2 | 1 | 0 | N/A | Chicago |\n| Mike Dunleavy | 22 | 10 | 2 | 3 | 3-7 | 43% | 1-2 | 50% | 3-3 | 100% | 0 | 1 | 0 | 1 | 1 | 2 | F | Chicago |\n| Derrick Rose | 29 | 9 | 3 | 2 | 4-14 | 29% | 1-4 | 25% | 0-2 | 0% | 0 | 4 | 0 | 2 | 1 | 0 | G | Chicago |\n| Pau Gasol | 22 | 7 | 5 | 8 | 3-6 | 50% | 0-1 | 0% | 1-2 | 50% | 0 | 1 | 1 | 1 | 4 | 2 | C | Chicago |\n| Aaron Brooks | 18 | 6 | 0 | 3 | 3-6 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 0 | N/A | Chicago |\n| Nikola Mirotic | 20 | 4 | 4 | 0 | 1-7 | 14% | 1-7 | 14% | 1-2 | 50% | 0 | 1 | 0 | 0 | 4 | 0 | N/A | Chicago |\n| Justin Holiday | 18 | 4 | 1 | 2 | 1-6 | 17% | 0-3 | 0% | 2-2 | 100% | 0 | 0 | 1 | 0 | 1 | 4 | N/A | Chicago |\n| Bobby Portis | 19 | 4 | 7 | 0 | 1-8 | 13% | 0-1 | 0% | 2-2 | 100% | 0 | 0 | 0 | 3 | 4 | 2 | N/A | Chicago |\n| Tony Snell | 6 | 3 | 0 | 0 | 1-3 | 33% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Chicago |\n| Cristiano Felicio | 9 | 2 | 7 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 7 | 1 | N/A | Chicago |\n| E'Twaun Moore | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |" + }, + { + "from": "human", + "value": "Based on the shown data statistics of an NBA game on 26th March, 2016, give me a detailed summary for this game." + }, + { + "from": "gpt", + "value": "The Orlando Magic (30-43) defeated the Chicago Bulls (36-36) 111-89 at Amway Center on Saturday. The Magic dropped 36 points in the first quarter on their home court and did not look back, easily handling Chicago throughout the rest of the game. Orlando dominated the rebounding battle (50-40) and shot 53 percent from the field through impressive floor spacing. Dewayne Dedmon led all scorers in the contest with 18 points on an impressive 9-of-14 shooting, while Elfrid Payton added a double-double with 15 points and 10 assists. The Magic bench saw Andrew Nicholson and Brandon Jennings each score 14 points, and the depth helped stave off any chance the Bulls had at pulling the game within reach. The Bulls are a banged up squad at this point in the season with Jimmy Butler (knee) contemplating surgery to repair his knee and Pau Gasol (knee) both not playing at 100 percent. Derrick Rose was charged with leading the group, but underwhelmed with nine points, three rebounds and two assists on 1-of-4 shooting. Taj Gibson received increased minutes in his starting role and added 16 points and three rebounds on 8-of-9 shooting. Chicago shot just over 40 percent as a unit, and are now on the outside looking in to the NBA playoffs. The Bulls will host the Atlanta Hawks (43-30) on Monday, while the Magic host the Brooklyn Nets (21-51) on Tuesday." + } + ] + }, + { + "id": "table_instructV_multi_round_24002", + "image": "table_instructV/images/ToTTo_train_table_11330.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Section | Section title |\n| --- | --- |\n| 203(a) | Authority to share criminal investigation information : Authority to share Grand Jury information |\n| 203(c) | Authority to share criminal investigation information : Procedures |\n| 205 | Employment of translators by the Federal Bureau of Investigation |\n| 208 | Designation of judges |\n| 210 | Scope of subpoenas for records of electronic communications |\n| 211 | Clarification of scope |\n| 213 | Authority for delaying notice of the execution of a warrant |\n| 216 | Modification of authorities relating to use of pen registers and trap and trace devices |\n| 219 | Single-jurisdiction search warrants for terrorism |\n| 221 | Trade sanctions |\n| 222 | Assistance to law enforcement agencies |" + }, + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the HTML format, presented as plain text." + }, + { + "from": "gpt", + "value": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Section Section title
203(a) Authority to share criminal investigation information : Authority to share Grand Jury information
203(c) Authority to share criminal investigation information : Procedures
205 Employment of translators by the Federal Bureau of Investigation
208 Designation of judges
210 Scope of subpoenas for records of electronic communications
211 Clarification of scope
213 Authority for delaying notice of the execution of a warrant
216 Modification of authorities relating to use of pen registers and trap and trace devices
219 Single-jurisdiction search warrants for terrorism
221 Trade sanctions
222 Assistance to law enforcement agencies
" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table and its metadata. You are required to generate a one-sentence description of highlighted table cells. \nTable title: Section summary of the Patriot Act, Title II\nSection title: Section 224: Sunset\nSection text: Section 224 (Sunset) is a sunset clause. Title II and the amendments made by the title originally would have ceased to have effect on December 31, 2005, with the exception of the below sections." + }, + { + "from": "gpt", + "value": "Section 211 is a Clarification of scope." + } + ] + }, + { + "id": "table_instructV_multi_round_24061", + "image": "table_instructV/images/TabFact_2-18792938-9.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| title | series | director | production num | release date |\n| --- | --- | --- | --- | --- |\n| daffy duck and egghead | mm | tex avery | 8226 | 1938 - 01 - 01 |\n| porky 's poppa | lt | bob clampett | 8352 | 1938 - 01 - 15 |\n| my little buckeroo | mm | friz freleng | 8227 | 1938 - 01 - 29 |\n| porky at the crocadero | lt | frank tashlin | 8090 | 1938 - 02 - 05 |\n| jungle jitters | mm | friz freleng | 8306 | 1938 - 02 - 19 |\n| what price porky | lt | bob clampett | 8404 | 1938 - 02 - 26 |\n| the sneezing weasel | mm | tex avery | 8310 | 1938 - 03 - 12 |\n| porky 's phoney express | lt | cal howard , cal dalton | 8368 | 1938 - 03 - 19 |\n| a star is hatched | mm | friz freleng | 8536 | 1938 - 04 - 02 |\n| porky 's five and ten | lt | bob clampett | 8453 | 1938 - 04 - 16 |\n| the penguin parade | mm | tex avery | 8311 | 1938 - 04 - 23 |\n| porky 's hare hunt | lt | ben hardaway | 8405 | 1938 - 04 - 30 |\n| now that summer is gone | mm | frank tashlin | 8403 | 1938 - 05 - 14 |\n| injun trouble | lt | bob clampett | 8505 | 1938 - 05 - 21 |\n| the isle of pingo - pongo | mm | tex avery | 8402 | 1938 - 05 - 28 |\n| porky the fireman | lt | frank tashlin | 8182 | 1938 - 06 - 04 |\n| katnip kollege | mm | cal dalton , cal howard | 8487 | 1938 - 06 - 11 |\n| have you got any castles | mm | frank tashlin | 8425 | 1938 - 06 - 25 |\n| porky 's party | lt | bob clampett | 8592 | 1938 - 06 - 25 |\n| love and curses | mm | ben hardaway , cal dalton | 8504 | 1938 - 07 - 09 |\n| porky 's spring planting | lt | frank tashlin | 8307 | 1938 - 07 - 16 |\n| cinderella meets fella | mm | tex avery | 8424 | 1938 - 07 - 23 |\n| porky & daffy | lt | bob clampett | 8594 | 1938 - 08 - 06 |\n| major lied 'til dawn | mm | frank tashlin | 8488 | 1938 - 08 - 13 |\n| a - lad - in bagdad | mm | cal howard , cal dalton | 8595 | 1938 - 08 - 27 |\n| wholly smoke | lt | frank tashlin | 8309 | 1938 - 08 - 27 |\n| cracked ice | mm | frank tashlin | 8507 | 1938 - 09 - 10 |\n| a feud there was | mm | tex avery | 8506 , br 1317 | 1938 - 09 - 24 |\n| porky in wackyland | lt | bob clampett | 8608 | 1938 - 09 - 24 |\n| little pancho vanilla | mm | frank tashlin | 8599 | 1938 - 10 - 08 |\n| porky 's naughty nephew | lt | bob clampett | 8674 | 1938 - 10 - 15 |\n| johnny smith and poker - huntas | mm | tex avery | 8597 | 1938 - 10 - 22 |\n| porky in egypt | lt | bob clampett | 8682 | 1938 - 11 - 05 |\n| you 're an education | mm | frank tashlin | 8681 | 1938 - 11 - 05 |\n| the night watchman | mm | chuck jones | 8607 | 1938 - 11 - 19 |\n| the daffy doc | lt | bob clampett | 8686 | 1938 - 11 - 26 |\n| daffy duck in hollywood | mm | tex avery | 8609 | 1938 - 12 - 03 |\n| count me out | mm | ben hardaway , cal dalton | 8687 | 1938 - 12 - 17 |\n| porky the gob | lt | ben hardaway , cal dalton | 8610 | 1938 - 12 - 17 |\n| the mice will play | mm | tex avery | 8683 | 1938 - 12 - 31 |" + }, + { + "from": "human", + "value": "Give you a table titled 'looney tunes and merrie melodies filmography (1929 - 39)' and a hypothesis which is 'count me out and porky the gob were both directed by tex avery', select the correct relation between the table and the hypothesis based on the table information. The final result should be presented in the JSON format of {\"answer\": \"\"}.\n\n(A) upholds (the hypothesis is true)\n(B) opposes (the hypothesis is false)" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table opposes the validity of the hypothesis. Therefore, the final answer: {\"answer\": \"opposes\"}." + }, + { + "from": "human", + "value": "In this task, you are given a table with its title 'looney tunes and merrie melodies filmography (1929 - 39)', your goal is to distinguish whether this table supports or disputes the sentence. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nthe film porky 's poppa was released before my little buckaroo" + }, + { + "from": "gpt", + "value": "Based on the table, the sentence holds true. Thus, the final answer is {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "According to the information in the given table regarding 'looney tunes and merrie melodies filmography (1929 - 39)', tell me whether the hypothesis is substantiated or disproved by the table. Output the final answer as JSON in the format {\"answer\": \"\"}.\nthe daffy doc and porky in egypt were both lt series films released in april of 1938" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the hypothesis is not valid. Hence, the answer is {\"answer\": \"disproved\"}." + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following statement is entailed or disputed by the table. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\ntable title:looney tunes and merrie melodies filmography (1929 - 39)\nstatement: there were four films released in december of 1938" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the statement is true. So, the answer is {\"answer\": \"entailed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_24089", + "image": "table_instructV/images/ToTTo_train_table_18437.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Year | Film | Director | Role | Co-Artist | Notes |\n| --- | --- | --- | --- | --- | --- |\n| 1990 | Chetona | Chhotku Ahmed | | | Debut Film |\n| | Aamor Shongi | Alamgir Kumkum | | | |\n| | Jyoti | Monwar Khokon | | | |\n| 1999 | Tomar Jonno Pagol | Shipli Chakrabarty | Doctor Hridoy | Riaz, Shabnur | |\n| 2001 | Rangbaz Badshah | Montazur Rahman Akbar | | Manna | |\n| 2003 | Kothin Simar | Montazur Rahman Akbar | Mithun | Manna, Popy, Moyuri | |\n| 2003 | Jamai Shasur | Shahadat Khan | Masud Khan | Riaz, Purnima | |\n| 2004 | Bhaier Shotru Bhai | Montazur Rahman Akbar | | Manna, Shabnur, Moyuri | |\n| 2012 | Bhalobashar Rong | Shahin-Sumon | Tufan | Mahiya Mahi, Bappy | debut as villain |\n| 2013 | Onnorokom Bhalobasha | | | Mahiya Mahi, Bappy | |\n| 2013 | Tobou Bhalobashi | Montazur Rahman Akbar | Lal | Mahiya Mahi, Bappy | |\n| 2013 | Full & FInal | Malek Afsari | Bokhtiar | Shakib Khan, Bobby | |\n| 2014 | Hero: The Superstar | Badiul Alam Khokon | Billa / Dollar | Shakib Khan, Apu Biswas, Bobby | |\n| 2015 | Agnee 2 | Iftekhar Chowdhury | Mithun Sarkar | Mahiya Mahi, Om | |\n| 2015 | Padmo Patar Jol | Tanmay Tansen | | Emon, Mim | |\n| 2016 | Angaar | Wazed Ali Sumon | | Om, Jolly | Released On 15 January 2016 |\n| 2016 | Rokto | Wazed Ali Sumon | | Pori Moni,Roshan | |\n| | Bossgiri | Shamim Ahamed Roni | DK the Dangerous Killer | Shakib Khan, Shabnam Bubly | |\n| 2017 | Boss 2: Back to Rule | Baba Yadav | Prince Shahnawaz Hussain | Jeet, Subhasree Ganguly, Nusrat Faria Mazhar | |\n| | Nabab | Joydeep Mukherjee | Kali | Shakib Khan, Subhasree Ganguly | |\n| 2017 | Rajneeti | Bulbul Biswash | | Shakib Khan | |\n| 2017 | Rangbaaz | Shamin Ahmed Ronny | Amit Chowdhury | Shakib Khan, Shabnom Bubly | |" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table and its metadata. You are required to generate a one-sentence description of highlighted table cells. \nTable title: Amit Hasan\nSection title: Filmography\nSection text: Aashar Alo, Premer Somadi, Paglir Prem, Meghla Akash, Hingsha, Shason, Bidrohi Premik, Tumi Shudhu Tumi, Shesh Thikana, Bini Sutar Mala, Ujan Bhati, Soinik are some other notable works of Amit Hasan." + }, + { + "from": "gpt", + "value": "Amit Hasan made his debut in the movie Chetona, directed by Chhotku Ahmed, in 1990." + } + ] + }, + { + "id": "table_instructV_multi_round_24164", + "image": "table_instructV/images/ToTTo_train_table_32521.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | 12–4–1 | Israel Adesanya | Decision (split) | UFC on Fox: Poirier vs. Gaethje | April 14, 2018 | 3 | 5:00 | Glendale, Arizona, United States | |\n| Draw | 12–3–1 | Omari Akhmedov | Draw (majority) | UFC 219 | December 30, 2017 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 12–3 | Vitor Miranda | Decision (unanimous) | UFC Fight Night: Chiesa vs. Lee | June 25, 2017 | 3 | 5:00 | Oklahoma City, Oklahoma, United States | |\n| Loss | 11–3 | Antônio Carlos Júnior | Decision (unanimous) | UFC 207 | December 30, 2016 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 11–2 | Alberto Uda | Submission (guillotine choke) | UFC 202 | August 20, 2016 | 1 | 4:30 | Las Vegas, Nevada, United States | |\n| Win | 10–2 | Igor Araújo | Submission (guillotine choke) | Venator FC 3 | May 21, 2016 | 1 | 4:30 | Milan, Italy | Middleweight debut. |\n| Win | 9–2 | Jack Mason | KO (knee and punches) | Venator FC 2 | December 12, 2015 | 1 | 1:46 | Rimini, Italy | Originally for the Venator Welterweight Championship; Vettori missed weight. |\n| Win | 8–2 | Daniele Scatizzi | Decision (unanimous) | Venator FC 1 | May 30, 2015 | 3 | 5:00 | Bologna, Italy | Won the Venator FC Welterweight Championship. |\n| Win | 7–2 | Giorgio Pietrini | Submission (guillotine choke) | Venator FC: Guerrieri Italiani Semifinals | March 29, 2015 | 1 | 2:18 | Bologna, Italy | |\n| Win | 6–2 | Anderson da Silva Santos | TKO (punches and elbows) | Venator FC: Guerrieri Italiani Quarterfinals | January 25, 2015 | 1 | 1:07 | Bologna, Italy | |\n| Loss | 5–2 | Bill Beaumont | Decision (unanimous) | UCMMA 40 | September 6, 2014 | 3 | 5:00 | London, England | For the vacant UCMMA Welterweight Championship. |\n| Win | 5–1 | Giorgio Pietrini | Submission (toe-hold) | Impera FC 3 | June 13, 2014 | 1 | 3:14 | Rome, Italy | |\n| Win | 4–1 | Radovan Uskrt | Submission (triangle choke) | European MMA League 1 | February 8, 2014 | 1 | 1:49 | Zagreb, Croatia | |\n| Win | 3–1 | Luca Ronchetti | Submission (rear-naked choke) | Impera FC 2 | December 14, 2013 | 1 | 4;07 | Rome, Italy | |\n| Win | 2–1 | Matt Robinson | Submission (rear-naked choke) | UCMMA 37 | November 30, 2013 | 1 | 3:30 | London, England | |\n| Win | 1–1 | Tom Richards | Submission (rear-naked choke) | UCMMA 35 | August 3, 2013 | 1 | 1:31 | London, England | |\n| Loss | 0–1 | Alessandro Grandis | Decision (unanimous) | New Generation Tournament 6 | July 21, 2012 | 2 | 5:00 | Seveso, Italy | |" + }, + { + "from": "human", + "value": "Consider the table titled 'Marvin Vettori', with its section title 'Mixed martial arts record'\nFormulate a sentence describing the highlighted cells' content." + }, + { + "from": "gpt", + "value": "Vettori faced Omari Akhmedov on December 30 at UFC 219." + } + ] + }, + { + "id": "table_instructV_multi_round_24229", + "image": "table_instructV/images/TabFact_1-1341843-10.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| district | incumbent | party | first elected | result | candidates |\n| --- | --- | --- | --- | --- | --- |\n| florida 1 | robert l f sikes | democratic | 1940 | re - elected | robert l f sikes (d) unopposed |\n| florida 2 | don fuqua redistricted from 9th | democratic | 1962 | re - elected | don fuqua (d) 76.3% harold hill (r) 23.7% |\n| florida 2 | donald ray matthews redistricted from 8th | democratic | 1952 | lost renomination democratic loss | don fuqua (d) 76.3% harold hill (r) 23.7% |\n| florida 3 | charles edward bennett redistricted from 2nd | democratic | 1948 | re - elected | charles edward bennett (d) unopposed |\n| florida 4 | albert s herlong , jr redistricted from 5th | democratic | 1948 | re - elected | albert s herlong , jr (d) unopposed |\n| florida 5 | edward j gurney redistricted from 11th | republican | 1962 | re - elected | edward j gurney (r) unopposed |\n| florida 6 | sam m gibbons redistricted from 10th | democratic | 1962 | re - elected | sam m gibbons (d) unopposed |\n| florida 9 | paul rogers redistricted from 6th | democratic | 1954 | re - elected | paul rogers (d) unopposed |\n| florida 10 | none (district created) | none (district created) | none (district created) | new seat republican gain | j herbert burke (r) 61.1% joe varon (d) 38.9% |\n| florida 11 | claude pepper redistricted from 3rd | democratic | 1962 | re - elected | claude pepper (d) unopposed |" + }, + { + "from": "human", + "value": "Examine the table with the given title 'united states house of representatives elections , 1966' and judge whether the claim is substantiated or refuted based on the table's content. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nin the election of charles edward bennett redistricted from 2nd , charles edward bennett (d) was opposed" + }, + { + "from": "gpt", + "value": "According to the table, the claim is refuted by the table information. Therefore, the final answer: {\"answer\": \"refuted\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_24316", + "image": "table_instructV/images/TABMWP_28209.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| | Front door of the house | Back door of the house |\n| --- | --- | --- |\n| Blue sticker | 2 | 3 |\n| Green sticker | 3 | 3 |" + }, + { + "from": "human", + "value": "Show the detailed solution to answer the following question. Conclude your response with a final answer in the JSON format {\"answer\": \"\"}.\nQuestion: Rachel keeps all her spare keys in a box under her bed. Recently, Rachel decided the box was becoming unmanageable, as none of the keys were labeled. She set about labeling them with colored stickers that indicated what each key opened. What is the probability that a randomly selected key is labeled with a green sticker and opens the front door of the house? Simplify any fractions." + }, + { + "from": "gpt", + "value": "Let A be the event \"the key is labeled with a green sticker\" and B be the event \"the key opens the front door of the house\".\nTo find the probability that a key is labeled with a green sticker and opens the front door of the house, first identify the sample space and the event.\nThe outcomes in the sample space are the different keys. Each key is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the key is labeled with a green sticker and opens the front door of the house\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the key is labeled with a green sticker and opens the front door of the house\", so look at the table to see how many keys are labeled with a green sticker and open the front door of the house.\nThe number of keys that are labeled with a green sticker and open the front door of the house is 3.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of keys.\n2 + 3 + 3 + 3 = 11\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{3}{11}\nThe probability that a key is labeled with a green sticker and opens the front door of the house is \\frac{3}{11}.\n\nSo, the answer is {\"answer\": \"3/11\"}." + }, + { + "from": "human", + "value": "Your task:\nLook at the table image, determine the locations of the following cells. A cell's location MUST be represented as a json structure {'value': '', 'location': (row number, column number)}, with row and column number beginning from 1. Represent the location as 'DOES NOT EXIST' if a cell is not present in the table.\nTarget cells:\n1. 'Blue sticker',\n2. '8.2',\n3. 'buffalo bills',\n4. '130'," + }, + { + "from": "gpt", + "value": "The coordinates of target cells are listed below.\n1. {'value': 'Blue sticker', 'location': (2, 1)}\n2. {'value': '8.2', 'location': 'DOES NOT EXIST'}\n3. {'value': 'buffalo bills', 'location': 'DOES NOT EXIST'}\n4. {'value': '130', 'location': 'DOES NOT EXIST'}" + } + ] + }, + { + "id": "table_instructV_multi_round_24355", + "image": "table_instructV/images/ToTTo_train_table_24393.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Win | 19–4 | Brent Primus | Decision (unanimous) | Bellator 212 | December 14, 2018 | 5 | 5:00 | Honolulu, Hawaii, United States | Won the Bellator Lightweight World Championship. |\n| Win | 18–4 | Brandon Girtz | Technical Submission (arm-triangle choke) | Bellator 197 | April 13, 2018 | 1 | 4:00 | St. Charles, Missouri, United States | |\n| Win | 17–4 | Goiti Yamauchi | Decision (unanimous) | Bellator 192 | January 20, 2018 | 3 | 5:00 | Inglewood, California, United States | |\n| Loss | 16–4 | Brent Primus | TKO (leg injury) | Bellator NYC | June 24, 2017 | 1 | 2:22 | New York City, New York, United States | Lost the Bellator Lightweight World Championship. |\n| Win | 16–3 | Benson Henderson | Decision (split) | Bellator 165 | November 19, 2016 | 5 | 5:00 | San Jose, California, United States | Defended the Bellator Lightweight World Championship. |\n| Win | 15–3 | Patricky Freire | KO (punch) | Bellator 157: Dynamite 2 | June 24, 2016 | 1 | 2:14 | St. Louis, Missouri, United States | Won the vacant Bellator Lightweight World Championship. |\n| Win | 14–3 | David Rickels | TKO (punches) | Bellator 145 | November 6, 2015 | 2 | 3:05 | St. Louis, Missouri, United States | |\n| Win | 13–3 | Derek Campos | Submission (rear-naked choke) | Bellator 138 | June 19, 2015 | 1 | 2:17 | St. Louis, Missouri, United States | |\n| Loss | 12–3 | Will Brooks | TKO (punches) | Bellator 131 | November 15, 2014 | 4 | 3:48 | San Diego, California, United States | For the vacant Bellator Lightweight World Championship. |\n| Loss | 12–2 | Will Brooks | Decision (split) | Bellator 120 | May 17, 2014 | 5 | 5:00 | Southaven, Mississippi, United States | For the interim Bellator Lightweight Championship. |\n| Loss | 12–1 | Eddie Alvarez | Decision (split) | Bellator 106 | November 2, 2013 | 5 | 5:00 | Long Beach, California, United States | Lost the Bellator Lightweight World Championship. For the Lineal Lightweight Championship. |\n| Win | 12–0 | David Rickels | KO (punches) | Bellator 97 | July 31, 2013 | 1 | 0:44 | Rio Rancho, New Mexico, United States | Defended the Bellator Lightweight World Championship. |\n| Win | 11–0 | Rick Hawn | Submission (rear-naked choke) | Bellator 85 | January 17, 2013 | 2 | 3:07 | Irvine, California, United States | Defended the Bellator Lightweight World Championship. |\n| Win | 10–0 | Akihiro Gono | TKO (punches) | Bellator 67 | May 4, 2012 | 1 | 0:56 | Rama, Ontario, Canada | Non-title bout. |\n| Win | 9–0 | Eddie Alvarez | Submission (rear-naked choke) | Bellator 58 | November 19, 2011 | 4 | 3:06 | Hollywood, Florida, United States | Won the Bellator Lightweight World Championship. |\n| Win | 8–0 | Patricky Freire | Decision (unanimous) | Bellator 44 | May 14, 2011 | 3 | 5:00 | Atlantic City, New Jersey, United States | Bellator Lightweight Tournament Final. |\n| Win | 7–0 | Lloyd Woodard | Decision (unanimous) | Bellator 40 | April 9, 2011 | 3 | 5:00 | Newkirk, Oklahoma, United States | Bellator Lightweight Tournament Semifinal. |\n| Win | 6–0 | Marcin Held | Technical Submission (arm-triangle choke) | Bellator 36 | March 12, 2011 | 1 | 3:56 | Shreveport, Louisiana, United States | Lightweight debut; Bellator Lightweight Tournament Quarterfinal. |\n| Win | 5–0 | Chris Page | Submission (standing guillotine choke) | Bellator 32 | October 14, 2010 | 1 | 0:57 | Kansas City, Missouri, United States | |\n| Win | 4–0 | Scott Stapp | TKO (punches) | Bellator 31 | September 30, 2010 | 1 | 1:57 | Lake Charles, Louisiana, United States | Catchweight (165 lbs) bout. |\n| Win | 3–0 | Sal Woods | Submission (rear-naked choke) | Strikeforce: Heavy Artillery | May 15, 2010 | 1 | 0:59 | St. Louis, Missouri, United States | |\n| Win | 2–0 | Richard Bouphanouvong | TKO (punches) | Strikeforce Challengers: Woodley vs. Bears | November 20, 2009 | 2 | 2:07 | Kansas City, Kansas, United States | Catchweight (165 lbs) bout. |\n| Win | 1–0 | Kyle Swadley | TKO (punches) | FB - First Blood | August 8, 2009 | 1 | 3:30 | Lake Ozark, Missouri, United States | |" + }, + { + "from": "human", + "value": "Consider the table titled 'Michael Chandler', with its section title 'Mixed martial arts record'\nFormulate a sentence describing the highlighted cells' content." + }, + { + "from": "gpt", + "value": "Chandler faced Benson Henderson at Bellator 165 on November 19, 2016." + } + ] + }, + { + "id": "table_instructV_multi_round_24406", + "image": "table_instructV/images/TabFact_2-17300616-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| show | host (s) | flagship | market | iheartradio |\n| --- | --- | --- | --- | --- |\n| armstrong & getty | jack armstrong , joe getty | kste | sacramento | n / a |\n| bob and the showgram | bob dumas | wdcg | raleigh | listen live |\n| bronson and christine | bob bronson , christine nagy | wltw | new york | n / a |\n| the john and ken show | john kobylt , kenneth chiampou | kfi | los angeles | n / a |\n| johnjay and rich | johnjay van es , rich berra | kzzp | phoenix | listen live |\n| mojo in the morning | mojo (tom carballo) | wkqi | detroit | listen live |\n| murphy , sam , and jodi | bob murphy , sam north , jodi carson | krve | baton rouge | n / a |\n| the paul and young ron show | paul castronovo , ron brewer | wbgg - fm | fort lauderdale | n / a |\n| rover 's morning glory | rover (shane french) | wmms | cleveland | listen live |\n| sean valentine in the morning | sean valentine | kbig | los angeles | n / a |\n| the war room with quinn and rose | jim quinn , rose somma tennent | wpgb | pittsburgh | n / a |\n| the travel show | don shafer , larry gelwix | knrs | salt lake city | n / a |" + }, + { + "from": "human", + "value": "Give you a table titled 'list of programming syndicated by clear channel' and a sentence which is 'all other shows except bob and the showgram , johnjay and rich , mojo in the morning , and rover 's morning glory are all listen live on iheartradio', select the correct relation between the table and the sentence based on the table information. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\n\n(A) entails (the sentence is true)\n(B) refutes (the sentence is false)" + }, + { + "from": "gpt", + "value": "Based on the table, the sentence can not hold true. Thus, the final answer is {\"answer\": \"refutes\"}." + }, + { + "from": "human", + "value": "Give you a table titled 'list of programming syndicated by clear channel' and a statement which is 'bob and the showgram does not have a market in detroit', select the correct relation between the table and the statement based on the table information. The final result should be presented in the JSON format of {\"answer\": \"\"}.\n\n(A) substantiates (the statement is true)\n(B) challenges (the statement is false)" + }, + { + "from": "gpt", + "value": "Based on the table, the statement holds true. Thus, the final answer is {\"answer\": \"substantiates\"}." + }, + { + "from": "human", + "value": "Examine whether the subsequent sentence is substantiated or contradicted by the given table titled 'list of programming syndicated by clear channel'. Show your final answer in the JSON format {\"answer\": \"\"}.\nbob and the showgram , johnjay and rich , mojo in the morning , and rover 's morning glory are all listen live on iheartradio" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the sentence is valid. Hence, the answer is {\"answer\": \"substantiated\"}." + }, + { + "from": "human", + "value": "Examine the table titled 'list of programming syndicated by clear channel' and judge whether the table affirms or disputes the following sentence. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\narmstrong & getty are part of the salt lake city market , but not the travel show" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it disputes the sentence. Hence, the answer is {\"answer\": \"disputes\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_24408", + "image": "table_instructV/images/TABMWP_37511.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $335 | 7,100 | 2,300 |\n| $355 | 6,900 | 5,600 |\n| $375 | 6,700 | 8,900 |\n| $395 | 6,500 | 12,200 |\n| $415 | 6,300 | 15,500 |" + }, + { + "from": "human", + "value": "Give you a table. Please solve the math problem below, showing each step. At the end of your output, present the final answer as JSON in the format {\"answer\": \"\"}.\n\nLook at the table. Then answer the question. At a price of $375, is there a shortage or a surplus? (A) shortage (B) surplus" + }, + { + "from": "gpt", + "value": "At the price of $375, the quantity demanded is less than the quantity supplied. There is too much of the good or service for sale at that price. So, there is a surplus.\n\n\nThus, the final answer is {\"answer\": \"surplus\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_24689", + "image": "table_instructV/images/TabFact_1-11230937-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| no in series | no in season | title | directed by | written by | original air date | us viewers (millions) |\n| --- | --- | --- | --- | --- | --- | --- |\n| 98 | 1 | rio (part 4) | joe chappelle | sunil nayar | september 18 , 2006 | 17.62 |\n| 99 | 2 | going under | matt earl beesley | marc dube & john haynes | september 25 , 2006 | 17.79 |\n| 100 | 3 | death pool 100 | sam hill | ann donahue & elizabeth devine | october 2 , 2006 | 17.90 |\n| 101 | 4 | if looks could kill | scott lautanen | ildy modrovich & barry o'brien | october 9 , 2006 | 17.60 |\n| 102 | 5 | death eminent | eagle egilsson | corey miller & brian davidson | october 16 , 2006 | 18.12 |\n| 103 | 6 | curse of the coffin | joe chappelle | sunil nayar & krystal houghton | october 23 , 2006 | 17.83 |\n| 104 | 7 | high octane | sam hill | marc dube | november 6 , 2006 | 16.80 |\n| 105 | 8 | darkroom | karen gaviola | john haynes | november 13 , 2006 | 18.77 |\n| 106 | 9 | going going gone | matt earl beesley | elizabeth devine | november 20 , 2006 | 18.54 |\n| 107 | 10 | come as you are | joe chappelle | brian davidson | november 27 , 2006 | 17.13 |\n| 108 | 11 | backstabbers | gina lamar | barry o'brien | december 11 , 2006 | 16.00 |\n| 109 | 12 | internal affairs | scott lautanen | corey miller | january 8 , 2007 | 16.01 |\n| 110 | 13 | throwing heat | joe chappelle | krystal houghton | january 22 , 2007 | 18.85 |\n| 111 | 14 | no man 's land (part 1) | scott lautanen | dominic abeyta | february 5 , 2007 | 18.43 |\n| 112 | 15 | man down (part 2) | karen gaviola | ildy modrovich | february 12 , 2007 | 19.90 |\n| 113 | 16 | broken home | sam hill | barry o'brien & krystal houghton | february 19 , 2007 | 19.23 |\n| 114 | 17 | a grizzly murder | eagle egilsson | elizabeth devine & brian davidson | february 26 , 2007 | 17.42 |\n| 115 | 18 | triple threat | scott lautanen | corey miller & sunil nayar | march 19 , 2007 | 17.66 |\n| 116 | 19 | bloodline | carey meyer | john haynes & marc dube | april 9 , 2007 | 16.11 |\n| 117 | 20 | rush | sam hill | ildy modrovich & krystal houghton | april 16 , 2007 | 15.36 |\n| 118 | 21 | just murdered | eagle egilsson | ty scott | april 23 , 2007 | 17.03 |\n| 119 | 22 | burned | anthony hemingway | corey evett & matt partney | april 30 , 2007 | 17.24 |\n| 120 | 23 | kill switch | scott lautanen | corey miller & marc dube | may 7 , 2007 | 17.18 |" + }, + { + "from": "human", + "value": "According to the table information regarding 'csi : miami (season 5)', tell me whether the provided table substantiates or conflicts with the claim. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\ncorey miller wrote four of the episodes in season 5 and collaborated on three of the episodes with other writers" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it substantiates the claim. Hence, the answer is {\"answer\": \"substantiates\"}." + }, + { + "from": "human", + "value": "Examine the table titled 'csi : miami (season 5)' and judge whether the table confirms or challenges the following statement. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nildy modrovich wrote episode15 of season 5 which had the highest amount of viewership" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it confirms the statement. Hence, the answer is {\"answer\": \"confirms\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_24725", + "image": "table_instructV/images/TabFact_1-24781886-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| | title | director | writer (s) | viewers | air date | production code |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | pilot | james burrows | ed yeager | 6.84 | september 24 , 2008 | 101 |\n| 2 | gary gets boundaries | james burrows | ed yeager | 6.97 | october 1 , 2008 | 102 |\n| 3 | gary marries off his ex | james burrows | janae bakken | 7.43 | october 8 , 2008 | 103 |\n| 4 | gary gets his stuff back | james burrows | matt goldman | 7.71 | october 15 , 2008 | 104 |\n| 5 | gary breaks up his ex - wife and girlfriend | james burrows | ira ungerleider | 7.85 | october 22 , 2008 | 105 |\n| 6 | gary meets the gang | james burrows | susan mcmartin | 6.44 | november 5 , 2008 | 106 |\n| 7 | gary and allison 's restaurant | james burrows | bill daly | 6.71 | november 12 , 2008 | 107 |\n| 8 | gary and allison brooks | james burrows | ed brown and scott parkin | 8.14 | december 19 , 2008 | 108 |\n| 9 | gary gives thanks | james burrows | mark gross | 7.72 | december 26 , 2008 | 109 |\n| 10 | gary goes first | james burrows | julie bean | 8.03 | december 10 , 2008 | 110 |\n| 11 | gary toughens up tom | james burrows | ric swartzlander | 7.55 | december 17 , 2008 | 111 |\n| 12 | gary dates louise 's teacher | james burrows | barry langer | 7.07 | january 14 , 2009 | 112 |\n| 13 | gary moves back in | james burrows | bill daly and mark gross | 7.07 | january 21 , 2009 | 113 |\n| 14 | gary and dennis' sister | james burrows | julie bean and susan mcmartin | 6.86 | february 11 , 2009 | 114 |\n| 15 | gary 's ex - brother - in - law | james burrows | mark jordan legan and terry mulroy | 8.15 | february 18 , 2009 | 115 |\n| 16 | gary uses his veto | james burrows | jana hunter and mitch hunter | 8.82 | march 11 , 2009 | 116 |\n| 17 | gary hooks up allison | james burrows | ira ungerleider | 7.57 | march 18 , 2009 | 117 |\n| 18 | gary and the trophy | james burrows | rob deshotel | 7.30 | april 8 , 2009 | 118 |\n| 19 | gary and his half brother | james burrows | scott parkin and ed brown | 6.66 | may 6 , 2009 | 119 |" + }, + { + "from": "human", + "value": "This is a table named 'list of gary unmarried episodes', please determine whether the given sentence is upheld or contradicted by the table information. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nfor the title , gary hooks up allison , the writer was james burrows and the director was rob deshotel" + }, + { + "from": "gpt", + "value": "Based on the evidence presented in the table, we can conclude that the sentence is not true. Therefore, the answer is {\"answer\": \"contradicted\"}." + }, + { + "from": "human", + "value": "Analyze the table picture about 'list of gary unmarried episodes' and classify whether the next hypothesis is entailed or disputed by the table. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\n\n119.0 is the second highest production code when 6.66 is the amount of viewers" + }, + { + "from": "gpt", + "value": "According to the table, the hypothesis is disputed by the table information. Therefore, the final answer: {\"answer\": \"disputed\"}." + }, + { + "from": "human", + "value": "Examine whether the subsequent sentence is upheld or opposed by the given table titled 'list of gary unmarried episodes'. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nthe 19th episode had a production code of 119 , and was seen by 6.66 million viewers" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the sentence. Hence, the answer is {\"answer\": \"upheld\"}." + }, + { + "from": "human", + "value": "In this task, you are given a table with its title 'list of gary unmarried episodes', your goal is to distinguish whether this table affirms or opposes the sentence. Show your final answer in the JSON format {\"answer\": \"\"}.\nthe 10th episode was written by julie bean" + }, + { + "from": "gpt", + "value": "Based on the table, the sentence holds true. Thus, the final answer is {\"answer\": \"affirms\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_24747", + "image": "table_instructV/images/TABMWP_11495.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 3 | 13 |\n| 4 | 10 |\n| 5 | 7 |" + }, + { + "from": "human", + "value": "According to the table, solve this problem and give detail solutions. Present the final answer in a JSON format, outlined as {\"answer\": \"\"}.\n\nThe table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear" + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{10 - 13}{4 - 3}\n = \\frac{-3}{1}\n = -3\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the first row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{7 - 13}{5 - 3}\n = \\frac{-6}{2}\n = -3\nThe two rates of change are the same.\n3.\nThis means the rate of change is the same for each pair of points. So, the function has a constant rate of change.\nThe function is linear.\n\nSo, the answer is {\"answer\": \"linear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_24777", + "image": "table_instructV/images/TABMWP_13432.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Number of dishes | Number of peppermint candies |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | ? |" + }, + { + "from": "human", + "value": "According to the table, solve this problem and give detail solutions. Conclude your response with the final answer in the JSON format, structured as {\"answer\": \"\"}.\n\nEach dish has 5 peppermint candies. How many peppermint candies are in 4 dishes?" + }, + { + "from": "gpt", + "value": "Count by fives. Use the chart: there are 20 peppermint candies in 4 dishes.\n\nSo, the answer is {\"answer\": \"20\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_24813", + "image": "table_instructV/images/TABMWP_11416.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Number of trucks | Number of flashlights |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | ? |" + }, + { + "from": "human", + "value": "Your is as follows:\nExamine the table image and determine the locations of the mentioned cells. You need to express a cell's position with the JSON {'value': '', 'location': (row_id, column_id)}, with row and column id both commencing from 1. Represent the location as 'DOES NOT EXIST' if a cell is not present in the table.\nCells to locate:\n(1) '6';\n(2) '3';" + }, + { + "from": "gpt", + "value": "The coordinates of target cells are listed below.\n(1) {'value': '6', 'location': (4, 2)}\n(2) {'value': '3', 'location': (4, 1)}" + }, + { + "from": "human", + "value": "With the table image in mind, formulate a detail solution for the math problem. Show specific steps towards the answer. The concluding answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\n\nEach truck has 2 flashlights. How many flashlights are in 4 trucks?" + }, + { + "from": "gpt", + "value": "Count by twos. Use the chart: there are 8 flashlights in 4 trucks.\n\nThus, the final answer is {\"answer\": \"8\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_24823", + "image": "table_instructV/images/Rotowire_train_table_2126.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hawks | Atlanta | 98 | 24 | 27 | 21 | 26 | 31 | 47 | 17 | 51 | 70 | 47 | 25 | 17 | | | | |\n| Magic | Orlando | 81 | 17 | 21 | 21 | 22 | 21 | 42 | 13 | 35 | 75 | 27 | 20 | 20 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hawks | | | | | | | | | | | | | | | | | | |\n| Al Horford | 27 | 15 | 7 | 2 | 7-10 | 70% | 1-2 | 50% | 0-0 | 0% | 1 | 0 | 2 | 1 | 6 | 2 | C | Atlanta |\n| Jeff Teague | 24 | 14 | 4 | 2 | 5-10 | 50% | 3-3 | 100% | 1-1 | 100% | 1 | 3 | 0 | 0 | 4 | 3 | G | Atlanta |\n| Paul Millsap | 27 | 13 | 12 | 6 | 6-9 | 67% | 0-0 | 0% | 1-3 | 33% | 1 | 1 | 2 | 2 | 10 | 1 | F | Atlanta |\n| Mike Scott | 18 | 12 | 1 | 2 | 5-6 | 83% | 2-2 | 100% | 0-0 | 0% | 1 | 2 | 0 | 0 | 1 | 3 | N/A | Atlanta |\n| Tiago Splitter | 17 | 10 | 4 | 1 | 5-7 | 71% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 1 | 3 | 2 | N/A | Atlanta |\n| Thabo Sefolosha | 27 | 10 | 4 | 3 | 4-8 | 50% | 0-2 | 0% | 2-2 | 100% | 3 | 1 | 0 | 0 | 4 | 3 | N/A | Atlanta |\n| Tim Hardaway Jr. | 19 | 8 | 1 | 3 | 2-5 | 40% | 2-3 | 67% | 2-2 | 100% | 1 | 0 | 0 | 0 | 1 | 0 | N/A | Atlanta |\n| Dennis Schroder | 18 | 6 | 2 | 8 | 3-8 | 38% | 0-2 | 0% | 0-0 | 0% | 0 | 3 | 0 | 0 | 2 | 1 | N/A | Atlanta |\n| Kyle Korver | 21 | 5 | 4 | 2 | 2-5 | 40% | 1-3 | 33% | 0-0 | 0% | 1 | 2 | 0 | 0 | 4 | 2 | G | Atlanta |\n| Mike Muscala | 6 | 2 | 2 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Atlanta |\n| Kent Bazemore | 23 | 2 | 3 | 0 | 1-5 | 20% | 0-0 | 0% | 0-0 | 0% | 0 | 4 | 1 | 0 | 3 | 1 | F | Atlanta |\n| Justin Holiday | 6 | 1 | 1 | 0 | 0-3 | 0% | 0-2 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Atlanta |\n| Shelvin Mack | 6 | 0 | 2 | 1 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Atlanta |\n| Magic | | | | | | | | | | | | | | | | | | |\n| Aaron Gordon | 27 | 18 | 7 | 3 | 5-9 | 56% | 1-2 | 50% | 7-8 | 88% | 0 | 0 | 1 | 1 | 6 | 0 | N/A | Orlando |\n| Elfrid Payton | 27 | 16 | 2 | 5 | 7-14 | 50% | 2-2 | 100% | 0-3 | 0% | 1 | 5 | 0 | 0 | 2 | 0 | G | Orlando |\n| Nikola Vucevic | 27 | 10 | 11 | 1 | 4-10 | 40% | 0-0 | 0% | 2-3 | 67% | 1 | 2 | 1 | 4 | 7 | 1 | C | Orlando |\n| Mario Hezonja | 24 | 10 | 0 | 2 | 3-14 | 21% | 0-5 | 0% | 4-4 | 100% | 0 | 1 | 0 | 0 | 0 | 2 | N/A | Orlando |\n| Tobias Harris | 32 | 6 | 4 | 4 | 2-7 | 29% | 0-2 | 0% | 2-2 | 100% | 4 | 2 | 1 | 1 | 3 | 1 | F | Orlando |\n| Evan Fournier | 24 | 6 | 1 | 2 | 2-11 | 18% | 2-4 | 50% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 3 | G | Orlando |\n| Shabazz Napier | 12 | 5 | 0 | 2 | 2-4 | 50% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Orlando |\n| Dewayne Dedmon | 11 | 4 | 7 | 0 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 2 | 5 | 1 | N/A | Orlando |\n| Channing Frye | 18 | 2 | 4 | 1 | 1-4 | 25% | 0-2 | 0% | 0-0 | 0% | 1 | 0 | 2 | 1 | 3 | 2 | F | Orlando |\n| Jason Smith | 18 | 2 | 3 | 0 | 1-5 | 20% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 1 | N/A | Orlando |\n| Keith Appling | 9 | 2 | 0 | 0 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 0 | 0 | N/A | Orlando |\n| Andrew Nicholson | 9 | 0 | 2 | 1 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 2 | N/A | Orlando |\n| Devyn Marble | 4 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | Orlando |" + }, + { + "from": "human", + "value": "Considerding the provided table image, extract the cells' values in the following postions:\nrow 8 and column 1,\nrow 16 and column 1,\nrow 32 and column 4,\nrow 1 and column 13,\nrow 16 and column 17,\nrow 24 and column 9,\nrow 14 and column 2,\nrow 9 and column 4,\n\nReturn each cell value as JSON in the format {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"\"}." + }, + { + "from": "gpt", + "value": "The extracted cell contents are listed below.\n{\"row_id\":\"8\", \"column_id\":\"1\", \"cell_value\":\"Jeff Teague\"}\n{\"row_id\":\"16\", \"column_id\":\"1\", \"cell_value\":\"Mike Muscala\"}\n{\"row_id\":\"32\", \"column_id\":\"4\", \"cell_value\":\"2\"}\n{\"row_id\":\"1\", \"column_id\":\"13\", \"cell_value\":\"FG3_PCT\"}\n{\"row_id\":\"16\", \"column_id\":\"17\", \"cell_value\":\"0\"}\n{\"row_id\":\"24\", \"column_id\":\"9\", \"cell_value\":\"0%\"}\n{\"row_id\":\"14\", \"column_id\":\"2\", \"cell_value\":\"18\"}\n{\"row_id\":\"9\", \"column_id\":\"4\", \"cell_value\":\"12\"}" + }, + { + "from": "human", + "value": "Utilizing the data from the box-score and line-score tables of the NBA game featuring Hawks versus Magic on 2016-01-18, craft a game report highlighting the key moments and statistics." + }, + { + "from": "gpt", + "value": "The Atlanta Hawks (25-17) stifled the Orlando Magic (20-20) en route to a 98-81 win on Monday. Orlando has been struggling mightily recently and it all came to a head here. They were manhandled by a better Atlanta team and just played horribly on Monday after their London trip. The Hawks defense has to get some credit though, as they held the Magic to just 35 percent shooting. Atlanta also recorded 30 assists on their 41 made baskets, which is a fantastic ratio. Orlando came into this game as the much better rebounding team, but the Hawks dominated that battle as well. This gives the Magic their seventh loss in their last eight games and the offense continues to be terrible. They are now averaging a league-worst 87 points per game in that eight-game span and no one can seem to find their rhythm. The starters here shot horrendously, as they combined to go 16-for-46 from the field in the loss. Elfrid Payton made his return to the starting lineup and tallied 16 points and five assists in a solid game. Orlando had to play this game without Victor Oladipo though and it 's clear they miss their best playmaker. Aaron Gordon was a bright spot off the bench, as he amassed 18 points and seven rebounds in the defeat. Orlando has a great chance to get out of this rut on Wednesday, when they host the Philadelphia 76ers in their next game. Atlanta hasn’t been playing their best ball as of late either, but they looked great here. It was their annual Martin Luther King game and this game means as much to Atlanta as anyone in the NBA, considering MLK 's hometown is Atlanta. This was an all-around team effort, as the bench scored 49 points of their own with six players scoring in double-figures. In fact, 11 players recorded an assist, 12 players recorded a rebound, and seven players recorded a steal for the Hawks in this win. Paul Millsap had another great all-around game too, as he accumulated 13 points, 12 rebounds and six assists in the victory. Atlanta will look to build off this win on Wednesday when they take on the Portland Trail Blazers in their next game." + } + ] + }, + { + "id": "table_instructV_multi_round_24833", + "image": "table_instructV/images/Rotowire_train_table_201.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Rockets | Houston | 115 | 35 | 23 | 39 | 18 | 24 | 42 | 17 | 46 | 60 | 45 | 51 | 24 | | | | |\n| Kings | Sacramento | 111 | 25 | 30 | 31 | 25 | 30 | 57 | 21 | 50 | 50 | 50 | 26 | 48 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Rockets | | | | | | | | | | | | | | | | | | |\n| James Harden | 38 | 51 | 8 | 6 | 16-25 | 64% | 8-9 | 89% | 11-13 | 85% | 3 | 7 | 0 | 2 | 6 | 1 | G | Houston |\n| Trevor Ariza | 38 | 22 | 3 | 2 | 8-16 | 50% | 6-14 | 43% | 0-0 | 0% | 3 | 3 | 0 | 0 | 3 | 2 | F | Houston |\n| Terrence Jones | 32 | 16 | 7 | 3 | 6-10 | 60% | 2-3 | 67% | 2-6 | 33% | 1 | 2 | 7 | 3 | 4 | 2 | F | Houston |\n| Joey Dorsey | 32 | 7 | 11 | 2 | 3-8 | 38% | 0-1 | 0% | 1-2 | 50% | 1 | 1 | 0 | 7 | 4 | 4 | C | Houston |\n| Jason Terry | 21 | 7 | 2 | 2 | 3-10 | 30% | 1-7 | 14% | 0-0 | 0% | 1 | 2 | 0 | 0 | 2 | 1 | G | Houston |\n| Clint Capela | 10 | 4 | 3 | 0 | 2-3 | 67% | 0-0 | 0% | 0-2 | 0% | 0 | 0 | 3 | 2 | 1 | 2 | N/A | Houston |\n| Pablo Prigioni | 27 | 4 | 2 | 7 | 1-4 | 25% | 1-3 | 33% | 1-2 | 50% | 4 | 0 | 0 | 0 | 2 | 2 | N/A | Houston |\n| Corey Brewer | 21 | 2 | 2 | 1 | 1-10 | 10% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 1 | N/A | Houston |\n| Josh Smith | 21 | 2 | 4 | 1 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 3 | 0 | 4 | 2 | N/A | Houston |\n| KJ McDaniels | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Dwight Howard | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Nick Johnson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Kings | | | | | | | | | | | | | | | | | | |\n| DeMarcus Cousins | 39 | 24 | 21 | 10 | 11-25 | 44% | 0-0 | 0% | 2-6 | 33% | 3 | 5 | 6 | 6 | 15 | 4 | C | Sacramento |\n| Omri Casspi | 38 | 18 | 7 | 4 | 8-17 | 47% | 0-2 | 0% | 2-2 | 100% | 3 | 5 | 0 | 2 | 5 | 4 | F | Sacramento |\n| Jason Thompson | 21 | 16 | 10 | 2 | 7-9 | 78% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 0 | 7 | 3 | 4 | N/A | Sacramento |\n| Ben McLemore | 31 | 14 | 4 | 2 | 6-10 | 60% | 2-3 | 67% | 0-0 | 0% | 1 | 2 | 1 | 0 | 4 | 2 | G | Sacramento |\n| Ray McCallum | 35 | 14 | 3 | 6 | 5-6 | 83% | 2-3 | 67% | 2-4 | 50% | 1 | 4 | 0 | 0 | 3 | 2 | G | Sacramento |\n| Carl Landry | 21 | 10 | 4 | 0 | 5-10 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 2 | 2 | 2 | 1 | F | Sacramento |\n| Derrick Williams | 21 | 10 | 5 | 2 | 4-11 | 36% | 2-2 | 100% | 0-2 | 0% | 0 | 1 | 0 | 2 | 3 | 0 | N/A | Sacramento |\n| Nik Stauskas | 17 | 5 | 2 | 1 | 2-6 | 33% | 1-3 | 33% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 3 | N/A | Sacramento |\n| Andre Miller | 13 | 0 | 0 | 3 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Sacramento |\n| David Wear | 5 | 0 | 1 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 1 | N/A | Sacramento |\n| Rudy Gay | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Reggie Evans | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Ryan Hollins | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |" + }, + { + "from": "human", + "value": "This image shows the box-score table and the line-score table of an NBA game between Rockets and Kings on 1st April, 2015. Write a detailed game summary based on the data statistics." + }, + { + "from": "gpt", + "value": "The Rockets (51-24) defeated the Kings (26-48) 115-111 at the Toyota Center on Wednesday. Wednesday night was the James Harden Show. He had 51 points. The Rockets had an 11-point lead going into the fourth quarter, but the Kings battled to within two points with six and a half minutes remaining. Harden came off the bench and put the game away, scoring 10 of Houston 's next 11 points. Harden went 16-of-25 from the field and 8-for-9 from three-point range. He had eight rebounds, six assists and three steals in 38 minutes. Trevor Ariza had 22 points (8-16 FG, 6-14 3Pt), three rebounds, two assists and three steals in 38 minutes. Terrence Jones (ribs) returned to the starting lineup after a six-game absence. He contributed 16 points (6-10 FG, 2-3 3Pt), seven rebounds, three assists, one steal and seven blocks in 32 minutes. Jason Terry (neck) had 7 points (3-10 FG, 1-7 3Pt). Corey Brewer, who has been battling an oblique injury, shot poorly on Wednesday, going 1-for-10 from the field and 0-for-2 from beyond the arc. DeMarcus Cousins' triple-double kept the Kings in the game. He had 24 points (11-25 FG), 21 rebounds, 10 assists, three steals and six blocks in 39 minutes. Omri Casspi had 18 points (8-17 FG, 0-2 3Pt), seven rebounds, four assists and three steals in 38 minutes. Ben McLemore contributed 14 points (6-10 FG, 2-3 3Pt), four rebounds, two assists, one steal and one block in 31 minutes. The Rockets are currently third in the Western Conference. They 've clinched a playoff spot. The Kings are thirteenth in the West and have been eliminated from playoff contention. The Rockets have completed the season series sweep of the Kings, 30." + } + ] + }, + { + "id": "table_instructV_multi_round_24834", + "image": "table_instructV/images/TabFact_1-2668367-13.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| district | incumbent | party | first elected | result | candidates |\n| --- | --- | --- | --- | --- | --- |\n| new york 5 | thomas b cooke | democratic - republican | 1810 | retired federalist gain | thomas p grosvenor (f) |\n| new york 8 | benjamin pond | democratic - republican | 1810 | retired federalist gain | samuel sherwood (f) 53.6% john ely (dr) 46.4% |\n| new york 9 | thomas sammons | democratic - republican | 1808 | retired federalist gain | john lovett (f) |\n| new york 10 | silas stow | democratic - republican | 1810 | retired federalist gain | hosea moffitt (f) |\n| new york 11 | thomas r gold | federalist | 1808 | retired democratic - republican gain | john w taylor (dr) 52.8% samuel stewart (f) 47.2% |\n| new york 14 | none (district created) | none (district created) | none (district created) | new seat federalist gain | jacob markell (f) 55.6% james mcintyre (dr) 44.4% |\n| new york 18 | none (district created) | none (district created) | none (district created) | new seat federalist gain | moss kent (f) 61.2% jacob brown (dr) 38.8% |" + }, + { + "from": "human", + "value": "Determine the relationship between the table named 'united states house of representatives elections , 1812' and the claim. Whether the table substantiates or refutes the given claim? Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nclaim: the result in new york district 14 represented by thomas r gold is retired federalist gain" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it refutes the claim. So, the answer is {\"answer\": \"refutes\"}." + }, + { + "from": "human", + "value": "Give you a table titled 'united states house of representatives elections , 1812' and a hypothesis which is 'the result in the district represented by thomas r gold is retired democratic - republican gain', select the correct relation between the table and the hypothesis based on the table information. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\n\n(A) entails (the hypothesis is true)\n(B) contradicts (the hypothesis is false)" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it entails the hypothesis. So, the answer is {\"answer\": \"entails\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_24959", + "image": "table_instructV/images/TABMWP_8914.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 10 | 7 |\n| 11 | 11 |\n| 12 | 19 |" + }, + { + "from": "human", + "value": "The table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear\n\nSolve the above problem using the table information. Conclude your response with a final answer in the JSON format {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{11 - 7}{11 - 10}\n = \\frac{4}{1}\n = 4\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the second row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{19 - 11}{12 - 11}\n = \\frac{8}{1}\n = 8\nThe rate of change is not the same for each pair of points. So, the function does not have a constant rate of change.\nThe function is nonlinear.\n\nSo, the answer is {\"answer\": \"nonlinear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_25023", + "image": "table_instructV/images/TABMWP_34233.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $550 | 8,800 | 1,300 |\n| $710 | 8,200 | 4,500 |\n| $870 | 7,600 | 7,700 |\n| $1,030 | 7,000 | 10,900 |\n| $1,190 | 6,400 | 14,100 |" + }, + { + "from": "human", + "value": "In the context of a table, we can utilize the json format {'value': '', 'location': (row index, column index)} to express a cell's position, where both row and column indices commence from 1. Examining the provided table image, identify the locations of the following cells using this format.\nValues to locate:\n(1) '$1,190',\n(2) '778',\n(3) '$1,030',\n(4) '$550',\n(5) '736',\n(6) 'Quantity demanded',\n(7) 'Heal the Earth',\n(8) '4,500',\n(9) '$870',\n(10) 'Trees for All',\n(11) '14,100',\nDenote the location as 'DOES NOT EXIST' if a cell does not exist in the table." + }, + { + "from": "gpt", + "value": "The target cell locations are as follows:\n(1) {'value': '$1,190', 'location': (6, 1)}\n(2) {'value': '778', 'location': 'DOES NOT EXIST'}\n(3) {'value': '$1,030', 'location': (5, 1)}\n(4) {'value': '$550', 'location': (2, 1)}\n(5) {'value': '736', 'location': 'DOES NOT EXIST'}\n(6) {'value': 'Quantity demanded', 'location': (1, 2)}\n(7) {'value': 'Heal the Earth', 'location': 'DOES NOT EXIST'}\n(8) {'value': '4,500', 'location': (3, 3)}\n(9) {'value': '$870', 'location': (4, 1)}\n(10) {'value': 'Trees for All', 'location': 'DOES NOT EXIST'}\n(11) {'value': '14,100', 'location': (6, 3)}" + }, + { + "from": "human", + "value": "Based on the table, solve the following math problem step by step. Provide a concluding answer in a JSON structure, using the format {\"answer\": \"\"}.\nLook at the table. Then answer the question. At a price of $710, is there a shortage or a surplus? (A) shortage (B) surplus" + }, + { + "from": "gpt", + "value": "At the price of $710, the quantity demanded is greater than the quantity supplied. There is not enough of the good or service for sale at that price. So, there is a shortage.\n\n\nThus, the final answer is {\"answer\": \"shortage\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_25038", + "image": "table_instructV/images/TabFact_2-10774891-10.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| home team | home team score | away team | away team score | venue | crowd | date |\n| --- | --- | --- | --- | --- | --- | --- |\n| geelong | 10.8 (68) | south melbourne | 10.10 (70) | kardinia park | 12456 | 22 june 1957 |\n| fitzroy | 9.14 (68) | footscray | 14.14 (98) | brunswick street oval | 17500 | 22 june 1957 |\n| north melbourne | 11.12 (78) | melbourne | 16.13 (109) | arden street oval | 14000 | 22 june 1957 |\n| st kilda | 10.15 (75) | hawthorn | 8.11 (59) | junction oval | 21000 | 22 june 1957 |\n| richmond | 13.10 (88) | essendon | 7.19 (61) | punt road oval | 25000 | 22 june 1957 |\n| collingwood | 14.16 (100) | carlton | 9.9 (63) | victoria park | 33345 | 22 june 1957 |" + }, + { + "from": "human", + "value": "Table title: 1957 vfl season\nsentence: the size of the crowd when the away team scored 7.19 (61) was 25000\nPlease distinguish whether the above sentence is entailed or refuted by the table information. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the sentence. Hence, the answer is {\"answer\": \"entailed\"}." + }, + { + "from": "human", + "value": "Based on the table image about '1957 vfl season' and the subsequent sentence, determine if the table entails or contradicts the subsequent sentence. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nsentence: the lowest crowd size was 17500 at junction oval" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it contradicts the sentence. So, the answer is {\"answer\": \"contradicts\"}." + }, + { + "from": "human", + "value": "Examine the table with the caption '1957 vfl season', classify whether the provided table confirms or opposes the hypothesis. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nhypothesis: the crowd size when the away team scored 7.19 (61) was 25000" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it confirms the hypothesis. So, the answer is {\"answer\": \"confirms\"}." + }, + { + "from": "human", + "value": "Using the information in the table image about '1957 vfl season', determine whether the next hypothesis is upheld or disputed by the table. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\n\narden street oval hosted geelong and south melbourne" + }, + { + "from": "gpt", + "value": "Based on the table information, the hypothesis is not true. Thus, the answer is {\"answer\": \"disputed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_25061", + "image": "table_instructV/images/TabFact_2-1547798-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| date | tournament | surface | opponent in the final | score |\n| --- | --- | --- | --- | --- |\n| 15 september 1996 | karlovy vary , czech republic | clay | ruxandra dragomir | 6 - 2 , 3 - 6 , 6 - 4 |\n| 28 september 1998 | munich , germany | hard (i) | venus williams | 6 - 2 , 3 - 6 , 6 - 2 |\n| 16 july 2000 | klagenfurt , austria | clay | barbara schett | 5 - 7 , 6 - 4 , 6 - 4 |\n| 12 july 2001 | vienna , austria | clay | iroda tulyaganova | 6 - 3 , 6 - 2 |\n| 21 april 2002 | hilton head , south carolina , usa | clay | iva majoli | 7 - 6 (5) , 6 - 4 |\n| 15 may 2005 | rome , italy | clay | amélie mauresmo | 2 - 6 , 6 - 3 , 6 - 4 |\n| 23 october 2005 | zürich , switzerland | carpet (i) | lindsay davenport | 7 - 6 (5) , 6 - 3 |\n| 30 october 2005 | linz , austria | hard (i) | nadia petrova | 4 - 6 , 6 - 3 , 6 - 1 |\n| 16 april 2006 | charleston , south carolina , usa | clay | nadia petrova | 6 - 3 , 4 - 6 , 6 - 1 |\n| 30 july 2006 | stanford , california , usa | hard | kim clijsters | 6 - 4 , 6 - 2 |\n| 16 april 2007 | san diego , california , usa | hard | maria sharapova | 6 - 2 , 3 - 6 , 6 - 0 |\n| 28 october 2007 | linz , austria | hard (i) | daniela hantuchová | 6 - 4 , 6 - 2 |\n| 9 march 2008 | bangalore , india | hard | serena williams | 7 - 5 , 6 - 3 |\n| 12 july 2009 | budapest , hungary | clay | ágnes szávay | 2 - 6 , 6 - 4 , 6 - 2 |\n| 11 july 2010 | budapest , hungary | clay | ágnes szávay | 6 - 2 , 6 - 4 |\n| 17 october 2010 | linz , austria | hard (i) | ana ivanovic | 6 - 1 , 6 - 2 |" + }, + { + "from": "human", + "value": "Determine the relationship between the table named 'patty schnyder' and the statement. Whether the table confirms or disputes the given statement? Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nstatement: in her october 30 , 2005 hard court tennis match in linz , austria , she defeated nadia petrova in a come - from - behind victory of 4 - 6 , 6 - 3 , 6 - 1" + }, + { + "from": "gpt", + "value": "Based on the table, the statement holds true. Thus, the final answer is {\"answer\": \"confirms\"}." + }, + { + "from": "human", + "value": "Examine whether the subsequent statement is upheld or disproved by the given table titled 'patty schnyder'. Show your final answer in the JSON format {\"answer\": \"\"}.\non clay surface on 16 april 2006 , the match was played with a score of 2 - 6 , 6 - 3 , 6 - 4" + }, + { + "from": "gpt", + "value": "Based on the table information, the statement is not true. Thus, the answer is {\"answer\": \"disproved\"}." + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following statement is affirmed or refuted by the table. Output the final answer as JSON in the format {\"answer\": \"\"}.\ntable title:patty schnyder\nstatement: she dominated iroda tulyaganova 6 - 3 , 6 - 2 in the finals of the july 2001 vienna clay court tennis tournament" + }, + { + "from": "gpt", + "value": "Based on the table information, the statement is true. Thus, the answer is {\"answer\": \"affirmed\"}." + }, + { + "from": "human", + "value": "Based on the table titled 'patty schnyder' and the subsequent sentence, determine if the sentence is substantiated or opposed by the table. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nsentence: when iva majoli was the opponent in the final , the score was 6 - 3 , 6 - 2" + }, + { + "from": "gpt", + "value": "Based on the evidence presented in the table, we can conclude that the sentence is not true. Therefore, the answer is {\"answer\": \"opposed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_25129", + "image": "table_instructV/images/TabFact_2-18179114-10.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| opposing teams | against | date | venue | status |\n| --- | --- | --- | --- | --- |\n| ireland | 17 | 08 / 02 / 1969 | lansdowne road , dublin | five nations |\n| france | 8 | 22 / 02 / 1969 | twickenham , london | five nations |\n| scotland | 3 | 15 / 03 / 1969 | twickenham , london | five nations |\n| wales | 30 | 12 / 04 / 1969 | cardiff arms park , cardiff | five nations |\n| south africa | 8 | 20 / 12 / 1969 | twickenham , london | test match |" + }, + { + "from": "human", + "value": "Analyze the table's content, including its title 'list of england national rugby union team results 1960 - 69', and determine whether the table supports or challenges the given sentence. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nsentence: on 08 / 02 / 1969 , ireland was the opposing team" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table supports the validity of the sentence. Therefore, the final answer: {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title 'list of england national rugby union team results 1960 - 69', and determine whether the table supports or challenges the given statement. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nstatement: the venue lansdowne road , dublin featured ireland as the opposing team and a scor eof 17 against" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table supports the validity of the statement. Therefore, the final answer: {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "Analyze this table picture about 'list of england national rugby union team results 1960 - 69' and classify whether the given table confirms or disputes the statement. Show your final answer in the JSON format {\"answer\": \"\"}.\n\nsouth africa was the opposing teams on 08 / 02 / 1969" + }, + { + "from": "gpt", + "value": "Based on the table, the statement can not hold true. Thus, the final answer is {\"answer\": \"disputes\"}." + }, + { + "from": "human", + "value": "Give you a table titled 'list of england national rugby union team results 1960 - 69' and a sentence which is 'wales is the only opposing team between february 1969 and december 1969', select the correct relation between the table and the sentence based on the table information. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\n\n(A) upholds (the sentence is true)\n(B) disproves (the sentence is false)" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it disproves the sentence. So, the answer is {\"answer\": \"disproves\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_25132", + "image": "table_instructV/images/TABMWP_21342.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | Country | Rock |\n| --- | --- | --- |\n| 0 times a week | 4 | 4 |\n| 1-2 times a week | 3 | 3 |" + }, + { + "from": "human", + "value": "Answer the following question based on the table information. Let's think step by step. Provide a concluding answer in a JSON structure, using the format {\"answer\": \"\"}.\nOn the first day of music class, students submitted a survey. One survey question asked students to report which music genre they prefer. Another question asked students how frequently they sing in the shower. What is the probability that a randomly selected student sings in the shower 1-2 times a week and prefers country? Simplify any fractions." + }, + { + "from": "gpt", + "value": "Let A be the event \"the student sings in the shower 1-2 times a week\" and B be the event \"the student prefers country\".\nTo find the probability that a student sings in the shower 1-2 times a week and prefers country, first identify the sample space and the event.\nThe outcomes in the sample space are the different students. Each student is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the student sings in the shower 1-2 times a week and prefers country\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the student sings in the shower 1-2 times a week and prefers country\", so look at the table to see how many students sing in the shower 1-2 times a week and prefer country.\nThe number of students who sing in the shower 1-2 times a week and prefer country is 3.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of students.\n4 + 3 + 4 + 3 = 14\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{3}{14}\nThe probability that a student sings in the shower 1-2 times a week and prefers country is \\frac{3}{14}.\n\nThus, the final answer is {\"answer\": \"3/14\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_25153", + "image": "table_instructV/images/Rotowire_train_table_1053.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Mavericks | Dallas | 104 | 28 | 32 | 28 | 16 | 24 | 37 | 8 | 49 | 81 | 28 | 26 | 36 | | | | |\n| Thunder | Oklahoma City | 89 | 27 | 23 | 21 | 18 | 19 | 49 | 15 | 40 | 70 | 9 | 35 | 28 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Mavericks | | | | | | | | | | | | | | | | | | |\n| Seth Curry | 30 | 22 | 1 | 1 | 10-16 | 63% | 2-5 | 40% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 1 | G | Dallas |\n| Dirk Nowitzki | 30 | 18 | 13 | 3 | 8-17 | 47% | 1-4 | 25% | 1-1 | 100% | 0 | 1 | 0 | 0 | 13 | 4 | C | Dallas |\n| Harrison Barnes | 34 | 17 | 5 | 3 | 5-14 | 36% | 0-3 | 0% | 7-8 | 88% | 0 | 0 | 0 | 3 | 2 | 1 | F | Dallas |\n| Nerlens Noel | 16 | 13 | 4 | 0 | 6-7 | 86% | 0-0 | 0% | 1-1 | 100% | 0 | 2 | 0 | 2 | 2 | 5 | N/A | Dallas |\n| Wesley Matthews | 32 | 9 | 0 | 4 | 3-8 | 38% | 1-4 | 25% | 2-2 | 100% | 3 | 0 | 0 | 0 | 0 | 2 | F | Dallas |\n| Devin Harris | 18 | 7 | 2 | 7 | 2-5 | 40% | 1-2 | 50% | 2-2 | 100% | 1 | 1 | 0 | 0 | 2 | 1 | N/A | Dallas |\n| Yogi Ferrell | 32 | 7 | 2 | 3 | 3-8 | 38% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | G | Dallas |\n| Dorian Finney-Smith | 16 | 5 | 4 | 2 | 2-3 | 67% | 1-2 | 50% | 0-0 | 0% | 1 | 0 | 0 | 0 | 4 | 2 | N/A | Dallas |\n| Quinn Cook | 14 | 4 | 1 | 1 | 2-4 | 50% | 0-0 | 0% | 0-2 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Dallas |\n| Salah Mejri | 10 | 2 | 2 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 2 | 0 | 2 | 1 | N/A | Dallas |\n| Dwight Powell | 3 | 0 | 1 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Dallas |\n| Ben Bentil | 3 | 0 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 0 | N/A | Dallas |\n| Nicolas Brussino | 3 | 0 | 0 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Dallas |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Russell Westbrook | 34 | 29 | 6 | 5 | 8-24 | 33% | 2-10 | 20% | 11-13 | 85% | 2 | 1 | 1 | 0 | 6 | 4 | G | Oklahoma City |\n| Steven Adams | 25 | 19 | 5 | 1 | 8-10 | 80% | 0-0 | 0% | 3-5 | 60% | 1 | 4 | 1 | 3 | 2 | 2 | C | Oklahoma City |\n| Enes Kanter | 19 | 16 | 10 | 2 | 7-14 | 50% | 0-1 | 0% | 2-5 | 40% | 1 | 3 | 0 | 6 | 4 | 2 | N/A | Oklahoma City |\n| Taj Gibson | 23 | 6 | 2 | 1 | 2-5 | 40% | 0-0 | 0% | 2-3 | 67% | 0 | 1 | 0 | 0 | 2 | 2 | N/A | Oklahoma City |\n| Doug McDermott | 35 | 6 | 4 | 2 | 3-9 | 33% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 4 | 1 | N/A | Oklahoma City |\n| Norris Cole | 24 | 4 | 3 | 2 | 2-7 | 29% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 2 | N/A | Oklahoma City |\n| Jerami Grant | 19 | 4 | 4 | 1 | 1-2 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 4 | 0 | N/A | Oklahoma City |\n| Domantas Sabonis | 20 | 3 | 7 | 1 | 1-5 | 20% | 0-2 | 0% | 1-2 | 50% | 0 | 1 | 0 | 0 | 7 | 3 | F | Oklahoma City |\n| Andre Roberson | 23 | 2 | 8 | 2 | 1-3 | 33% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 4 | 4 | 2 | F | Oklahoma City |\n| Alex Abrines | 10 | 0 | 0 | 2 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | G | Oklahoma City |\n| Semaj Christon | 5 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Oklahoma City |\n| Kyle Singler | 3 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Oklahoma City |\n| Nick Collison | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |" + }, + { + "from": "human", + "value": "Based on the box-score and line-score tables displayed in this image for an NBA game between Mavericks and Thunder on 05/03/2017, please provide a comprehensive summary of the game using the provided data statistics." + }, + { + "from": "gpt", + "value": "The Dallas Mavericks defeated the Oklahoma City Thunder, 104-89, at American Airlines Center on Sunday. The Mavericks (26-36) improved to 18-14 on their home court and are still on the outside looking in at the Western Conference playoffs, as they sit three games behind the Denver Nuggets for the eight-seed. The marquee moment of the game came on a Russell Westbrook flagrant 1 foul after he barreled over Harrison Barnes in the third quarter. Westbrook was trying to break away from a screen when he took one step too many, and took Barnes to the ground with him. Dallas led the Thunder (35-28) through each of the first three quarters, but a measly 18 points from Oklahoma City during the final period was far from enough to keep the game within striking distance. Dirk Nowitzki scored 18 points and grabbed 12 rebounds in the win, while Seth Curry scored 22 points on 10-of-16 shooting. Nerlens Noel was effective in his 16 minutes off the bench, as the 76ers import pitched in 13 points and five rebounds on 6-of-7 shooting. Westbrook led the Thunder with 29 points, six rebounds, five assists, two steals and one block on 8-of-24 shooting. Enes Kanter led the Thunder bench with 16 points and 10 rebounds, while Steven Adams added 19 points, five boards and one block. Both teams play on Tuesday, as the Thunder host the Portland Trail Blazers, while the Mavericks host the Los Angeles Lakers." + } + ] + }, + { + "id": "table_instructV_multi_round_25217", + "image": "table_instructV/images/ToTTo_train_table_25970.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | 21–10 | Handesson Ferreira | TKO (verbal submission) | PFL 10 | October 20, 2018 | 2 | 1:15 | Washington, D.C., United States | 2018 PFL Welterweight Quarterfinal bout. |\n| Win | 21–9 | Carlton Minus | Submission (rear-naked choke) | PFL 6 | August 16, 2018 | 2 | 2:55 | Atlantic City, New Jersey, United States | |\n| Win | 20–9 | Yuri Villefort | Decision (unanimous) | PFL 3 | July 5, 2018 | 3 | 5:00 | Washington, D.C., United States | |\n| Loss | 19–9 | Donald Cerrone | TKO (head kick and punches) | UFC 202 | August 20, 2016 | 2 | 2:02 | Las Vegas, Nevada, United States | |\n| Win | 19–8 | Tarec Saffiedine | Decision (unanimous) | UFC Fight Night: Almeida vs. Garbrandt | May 29, 2016 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 18–8 | Gunnar Nelson | Decision (split) | UFC Fight Night: Nelson vs. Story | October 4, 2014 | 5 | 5:00 | Stockholm, Sweden | |\n| Win | 17–8 | Leonardo Mafra | Submission (arm-triangle choke) | UFC Fight Night: Cerrone vs. Miller | July 16, 2014 | 2 | 2:12 | Atlantic City, New Jersey, United States | |\n| Loss | 16–8 | Kelvin Gastelum | Decision (split) | UFC 171 | March 15, 2014 | 3 | 5:00 | Dallas, Texas, United States | |\n| Win | 16–7 | Brian Ebersole | Decision (unanimous) | UFC 167 | November 16, 2013 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Loss | 15–7 | Mike Pyle | Decision (split) | UFC 160 | May 25, 2013 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 15–6 | Quinn Mulhern | TKO (punches) | UFC 158 | March 16, 2013 | 1 | 3:05 | Montreal, Quebec, Canada | |\n| Loss | 14–6 | Demian Maia | Submission (neck crank) | UFC 153 | October 13, 2012 | 1 | 2:30 | Rio de Janeiro, Brazil | |\n| Win | 14–5 | Brock Jardine | Decision (unanimous) | UFC on FX: Maynard vs. Guida | June 22, 2012 | 3 | 5:00 | Atlantic City, New Jersey, United States | |\n| Loss | 13–5 | Martin Kampmann | Decision (split) | UFC 139 | November 19, 2011 | 3 | 5:00 | San Jose, California, United States | |\n| Loss | 13–4 | Charlie Brenneman | Decision (unanimous) | UFC Live: Kongo vs. Barry | June 26, 2011 | 3 | 5:00 | Pittsburgh, Pennsylvania, United States | |\n| Win | 13–3 | Thiago Alves | Decision (unanimous) | UFC 130 | May 28, 2011 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 12–3 | Johny Hendricks | Decision (unanimous) | The Ultimate Fighter: Team GSP vs. Team Koscheck Finale | December 4, 2010 | 3 | 5:00 | Las Vegas, Nevada, United States | |\n| Win | 11–3 | Dustin Hazelett | TKO (punches) | UFC 117 | August 7, 2010 | 2 | 1:15 | Oakland, California, United States | |\n| Win | 10–3 | Nick Osipczak | Decision (split) | UFC 112 | April 10, 2010 | 3 | 5:00 | Abu Dhabi, United Arab Emirates | |\n| Win | 9–3 | Jesse Lennox | Decision (split) | UFC Fight Night: Maynard vs. Diaz | January 11, 2010 | 3 | 5:00 | Fairfax, Virginia, United States | |\n| Win | 8–3 | Brian Foster | Submission (arm-triangle choke) | UFC 103 | September 19, 2009 | 2 | 1:09 | Dallas, Texas, United States | Submission of the Night. Fight of the Night. |\n| Loss | 7–3 | John Hathaway | Decision (unanimous) | UFC 99 | June 13, 2009 | 3 | 5:00 | Cologne, Germany | |\n| Win | 7–2 | Brandon Melendez | Submission (rear-naked choke) | EWC: Vancouver | September 6, 2008 | 1 | 2:17 | Ridgefield, Washington, United States | Defended the Elite Warriors Welterweight Championship. |\n| Win | 6–2 | Wesley Welch | KO (punch) | Carnage at the Creek 3 | August 22, 2008 | 1 | N/A | Shelton, Washington, United States | |\n| Win | 5–2 | Jake Ellenberger | Decision (unanimous) | SportFight 23 | June 20, 2008 | 3 | 5:00 | Portland, Oregon, United States | |\n| Win | 4–2 | Ryan Healy | Decision (unanimous) | EWC: May Massacre | May 10, 2008 | 5 | 5:00 | Salem, Oregon, United States | Won the Elite Warriors Welterweight Championship. |\n| Win | 3–2 | James Dodge | Submission (rear-naked choke) | EWC: Welterweight War | February 23, 2008 | 1 | 3:37 | Salem, Oregon, United States | |\n| Win | 2–2 | Jake Paul | TKO (punches) | EWC: Capital Invasion | January 12, 2008 | 2 | 1:03 | Salem, Oregon, United States | |\n| Loss | 1–2 | Nathan Coy | Decision (unanimous) | SportFight 21: Seasons Beatings | December 22, 2007 | 3 | 5:00 | Portland, Oregon, United States | |\n| Win | 1–1 | Julio Paulino | Decision (unanimous) | AFC 41: Thankful Throwdowns | November 15, 2007 | 3 | 5:00 | Anchorage, Alaska, United States | |\n| Loss | 0–1 | Mario Miranda | Decision (unanimous) | Conquest of the Cage | November 6, 2007 | 3 | 5:00 | Airway Heights, Washington, United States | |" + }, + { + "from": "human", + "value": "Examine the following Wikipedia table, which is titled 'Rick Story' and its section is titled 'Mixed martial arts record'. \nSome important table cells are highlighted with a different background color. Please create a single sentence that summarizes the highlighted table cells." + }, + { + "from": "gpt", + "value": "Story faced Demian Maia on October 13, 2012 at UFC 153." + } + ] + }, + { + "id": "table_instructV_multi_round_25252", + "image": "table_instructV/images/ToTTo_train_table_34093.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Season | Player | Pos. | Cl. | Team | Games played | Field goals made | 3-point field goals made | Free throws made | Total points | PPG | Ref. |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1947–48 | Murray Wier | G | Sr | Iowa | 19 | 152 | — | 95 | 399 | 21.0 | |\n| 1948–49 | Tony Lavelli | F | Sr | Yale | 30 | 228 | — | 215 | 671 | 22.4 | |\n| 1949–50 | Paul Arizin* | F | Sr | Villanova | 29 | 260 | — | 215 | 735 | 25.3 | |\n| 1950–51 | Bill Mlkvy | F | Sr | Temple | 25 | 303 | — | 125 | 731 | 29.2 | |\n| 1951–52 | Clyde Lovellette* | C | Sr | Kansas | 28 | 352 | — | 182 | 795 | 28.4 | |\n| 1952–53 | Frank Selvy | G | Jr | Furman | 25 | 272 | — | 194 | 738 | 29.5 | |\n| 1953–54 | Frank Selvy (2) | G | Sr | Furman | 29 | 427 | — | 355 | 1,209 | 41.7 | |\n| 1954–55 | Darrell Floyd | G | Jr | Furman | 25 | 344 | — | 209 | 897 | 35.9 | |\n| 1955–56 | Darrell Floyd (2) | G | Sr | Furman | 28 | 339 | — | 268 | 946 | 33.8 | |\n| 1956–57 | Grady Wallace | F | Sr | South Carolina | 29 | 336 | — | 234 | 906 | 31.2 | |\n| 1957–58 | Oscar Robertson* | G | So | Cincinnati | 28 | 352 | — | 280 | 984 | 35.1 | |\n| 1958–59 | Oscar Robertson* (2) | G | Jr | Cincinnati | 30 | 331 | — | 316 | 978 | 32.6 | |\n| 1959–60 | Oscar Robertson* (3) | G | Sr | Cincinnati | 30 | 369 | — | 273 | 1,011 | 33.7 | |\n| 1960–61 | Frank Burgess | G | Sr | Gonzaga | 26 | 304 | — | 234 | 842 | 32.4 | |\n| 1961–62 | Billy McGill | C/F | Sr | Utah | 26 | 394 | — | 221 | 1,009 | 38.8 | |\n| 1962–63 | Nick Werkman | F | Jr | Seton Hall | 22 | 221 | — | 208 | 650 | 29.5 | |\n| 1963–64 | Howie Komives | G | Sr | Bowling Green | 23 | 292 | — | 260 | 844 | 36.7 | |\n| 1964–65 | Rick Barry* | F | Sr | Miami (FL) | 26 | 340 | — | 293 | 973 | 37.4 | |\n| 1965–66 | Dave Schellhase | G | Sr | Purdue | 24 | 284 | — | 213 | 781 | 32.5 | |\n| 1966–67 | Jimmy Walker | G | Sr | Providence | 28 | 323 | — | 205 | 851 | 30.4 | |\n| 1967–68 | Pete Maravich* | G | So | LSU | 26 | 432 | — | 274 | 1,138 | 43.8 | |\n| 1968–69 | Pete Maravich* (2) | G | Jr | LSU | 26 | 433 | — | 282 | 1,148 | 44.2 | |\n| 1969–70 | Pete Maravich* (3) | G | Sr | LSU | 31 | 522 | — | 337 | 1,381 | 44.5 | |\n| 1970–71 | Johnny Neumann | F/G | So | Ole Miss | 23 | 366 | — | 191 | 923 | 40.1 | |\n| 1971–72 | Bo Lamar | G | Jr | Southwest Louisiana | 29 | 429 | — | 196 | 1,054 | 36.3 | |\n| 1972–73 | Bird Averitt | G | Sr | Pepperdine | 25 | 352 | — | 144 | 848 | 33.9 | |\n| 1973–74 | Larry Fogle | G | So | Canisius | 25 | 326 | — | 183 | 835 | 33.4 | |\n| 1974–75 | Bob McCurdy | G | Sr | Richmond | 26 | 321 | — | 213 | 855 | 32.9 | |\n| 1975–76 | Marshall Rogers | G | Sr | Texas–Pan American | 25 | 361 | — | 197 | 919 | 36.8 | |\n| 1976–77 | Freeman Williams | F/G | Jr | Portland State | 26 | 417 | — | 176 | 1,010 | 38.8 | |\n| 1977–78 | Freeman Williams (2) | F/G | Sr | Portland State | 27 | 410 | — | 149 | 969 | 35.9 | |\n| 1978–79 | Lawrence Butler | G | Sr | Idaho State | 27 | 310 | — | 192 | 812 | 30.1 | |\n| 1979–80 | Tony Murphy | G | Sr | Southern | 29 | 377 | — | 178 | 932 | 32.1 | |\n| 1980–81 | Zam Fredrick | G | Sr | South Carolina | 27 | 300 | — | 181 | 781 | 28.9 | |\n| 1981–82 | Harry Kelly | F | Jr | Texas Southern | 29 | 336 | — | 190 | 862 | 29.7 | |\n| 1982–83 | Harry Kelly (2) | F | Sr | Texas Southern | 29 | 333 | — | 169 | 835 | 28.8 | |\n| 1983–84 | Joe Jakubick | G | Sr | Akron | 27 | 304 | — | 206 | 814 | 30.1 | |\n| 1984–85 | Xavier McDaniel | F/C | Sr | Wichita State | 31 | 351 | — | 142 | 844 | 27.2 | |\n| 1985–86 | Terrance Bailey | G | Jr | Wagner | 29 | 321 | — | 212 | 854 | 29.4 | |\n| 1986–87 | Kevin Houston | G | Sr | Army | 29 | 311 | — | 268 | 953 | 32.9 | |\n| 1987–88 | Hersey Hawkins | G | Sr | Bradley | 31 | 377 | 87 | 284 | 1,125 | 36.3 | |\n| 1988–89 | Hank Gathers | F/C | Jr | Loyola Marymount | 31 | 419 | 0 | 177 | 1,015 | 32.7 | |\n| 1989–90 | Bo Kimble | G | Sr | Loyola Marymount | 32 | 404 | 92 | 231 | 1,131 | 35.3 | |\n| 1990–91 | Kevin Bradshaw | G | Sr | U.S. International | 28 | 358 | 60 | 278 | 1,054 | 37.6 | |\n| 1991–92 | Brett Roberts | F | Sr | Morehead State | 29 | 278 | 66 | 193 | 815 | 28.1 | |\n| 1992–93 | Greg Guy | G | Jr | Texas–Pan American | 19 | 189 | 67 | 111 | 556 | 29.3 | |\n| 1993–94 | Glenn Robinson | F | Jr | Purdue | 34 | 368 | 79 | 215 | 1,030 | 30.3 | |\n| 1994–95 | Kurt Thomas | C | Sr | TCU | 27 | 288 | 3 | 202 | 781 | 28.9 | |\n| 1995–96 | Kevin Granger | G | Sr | Texas Southern | 24 | 194 | 30 | 230 | 648 | 27.0 | |\n| 1996–97 | Charles Jones | G | Jr | Long Island | 30 | 338 | 109 | 118 | 903 | 30.1 | |\n| 1997–98 | Charles Jones (2) | G | Sr | Long Island | 30 | 326 | 116 | 101 | 869 | 29.0 | |\n| 1998–99 | Alvin Young | G | Sr | Niagara | 29 | 253 | 65 | 157 | 728 | 25.1 | |\n| 1999–00 | Courtney Alexander | G | Sr | Fresno State | 27 | 252 | 58 | 107 | 669 | 24.8 | |\n| 2000–01 | Ronnie McCollum | G | Sr | Centenary | 27 | 244 | 85 | 214 | 787 | 29.1 | |\n| 2001–02 | Jason Conley | G | Fr | VMI | 28 | 285 | 79 | 171 | 820 | 29.3 | |\n| 2002–03 | Ruben Douglas | G | Sr | New Mexico | 28 | 218 | 94 | 253 | 783 | 28.0 | |\n| 2003–04 | Keydren Clark | G | So | Saint Peter's | 29 | 233 | 112 | 197 | 775 | 26.7 | |\n| 2004–05 | Keydren Clark (2) | G | Jr | Saint Peter's | 28 | 230 | 109 | 152 | 721 | 25.8 | |\n| 2005–06 | Adam Morrison | F | Jr | Gonzaga | 33 | 306 | 74 | 240 | 926 | 28.1 | |\n| 2006–07 | Reggie Williams | G | Jr | VMI | 33 | 338 | 76 | 176 | 928 | 28.1 | |\n| 2007–08 | Reggie Williams (2) | G | Sr | VMI | 25 | 269 | 43 | 114 | 695 | 27.8 | |\n| 2008–09 | Stephen Curry | G | Jr | Davidson | 34 | 312 | 130 | 220 | 974 | 28.6 | |\n| 2009–10 | Aubrey Coleman | G | Sr | Houston | 35 | 305 | 51 | 235 | 896 | 25.6 | |\n| 2010–11 | Jimmer Fredette | G | Sr | BYU | 37 | 346 | 124 | 252 | 1,068 | 28.9 | |\n| 2011–12 | Reggie Hamilton | G | Sr | Oakland | 36 | 281 | 118 | 262 | 942 | 26.2 | |\n| 2012–13 | Erick Green | G | Sr | Virginia Tech | 32 | 261 | 61 | 218 | 801 | 25.0 | |\n| 2013–14 | Doug McDermott | F | Sr | Creighton | 35 | 330 | 96 | 178 | 934 | 26.7 | |\n| 2014–15 | Tyler Harvey | G | Jr | Eastern Washington | 32 | 230 | 128 | 150 | 738 | 23.1 | |\n| 2015–16 | James Daniel III | G | Jr | Howard | 30 | 226 | 80 | 280 | 812 | 27.1 | |\n| 2016–17 | Marcus Keene | G | Jr | Central Michigan | 32 | 313 | 125 | 208 | 959 | 30.0 | |\n| 2017–18 | Trae Young | G | Fr | Oklahoma | 32 | 261 | 118 | 236 | 876 | 27.4 | |\n| 2018–19 | Chris Clemons | G | Sr | Campbell | 33 | 304 | 139 | 246 | 993 | 30.1 | |" + }, + { + "from": "human", + "value": "This image shows a Wikipedia table extracted from a section.\nTable title: List of NCAA Division I men's basketball season scoring leaders\nTable section title: Official\n Using the provided table and its metadata, write a sentence to summarize the information in the highlighted table cells." + }, + { + "from": "gpt", + "value": "A center/forward from the University of Utah, McGill was the NCAA scoring leader in the 1961–1962 season with 1,009 points in 26 games (38.8 points per game)." + } + ] + }, + { + "id": "table_instructV_multi_round_25275", + "image": "table_instructV/images/ToTTo_train_table_32193.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Manufacturer: | Bucyrus-Erie |\n| --- | --- |\n| Model: | 4250-W, \"Big Muskie\" |\n| Weight: | 27,000,000 pounds (12,000 t; 14,000 short tons) |\n| Bucket Capacity: | 220 cubic yards (170 m3), 325 short tons (295 t) |\n| Height: | 222 feet 6 inches (67.82 m) |\n| Boom length: | 310 feet (94 m) |\n| Machine length (boom down): | 487 feet 6 inches (148.59 m) |\n| Bucket weight (empty): | 230 short tons (210 t) |\n| Width: | 151 feet 6 inches (46.18 m)—comparable to an eight-lane highway |\n| Cable diameter: | 5 inches (130 mm) |\n| Electrical power: | 13,800 volts |\n| Mobility: | Hydraulically driven walker feet |" + }, + { + "from": "human", + "value": "Generate a one-sentence summary about the highlighted table cells based on the following Wikipedia table and its metadata. \nTable title: Big Muskie\nSection title: Design specifications and service\n" + }, + { + "from": "gpt", + "value": "The Big Muskie was a model 4250-W Bucyrus-Erie." + } + ] + }, + { + "id": "table_instructV_multi_round_25308", + "image": "table_instructV/images/TabFact_2-184807-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| draw | language | artist | song | english translation | place | points |\n| --- | --- | --- | --- | --- | --- | --- |\n| 01 | german | margot eskens | die zeiger der uhr | the hands of the clock | 10 | 7 |\n| 02 | danish | ulla pia | stop - mens legen er go' | stop while the going 's good | 14 | 4 |\n| 03 | french | tonia | un peu de poivre , un peu de sel | a bit of pepper , a bit of salt | 4 | 14 |\n| 04 | french | michèle torr | ce soir je t'attendais | tonight , i waited for you | 10 | 7 |\n| 05 | slovene | berta ambrož | brez besed | without words | 7 | 9 |\n| 06 | norwegian | åse kleveland | intet er nytt under solen | nothing is new under the sun | 3 | 15 |\n| 07 | finnish | ann christine | playboy | - | 10 | 7 |\n| 08 | portuguese | madalena iglésias | ele e ela | he and she | 13 | 6 |\n| 09 | german | udo jürgens | merci , chérie | thank you , darling | 1 | 31 |\n| 10 | swedish | lill lindfors & svante thuresson | nygammal vals | new , yet familiar , waltz | 2 | 16 |\n| 11 | spanish | raphael | yo soy aquél | i'm that one | 7 | 9 |\n| 12 | french | madeleine pascal | ne vois - tu pas | don't you see | 6 | 12 |\n| 13 | french | tereza kesovija | bien plus fort | altogether stronger | 17 | 0 |\n| 14 | italian | domenico modugno | dio , come ti amo | god , how i love you | 17 | 0 |\n| 15 | french | dominique walter | chez nous | our place | 16 | 1 |\n| 16 | dutch | milly scott | fernando en filippo | fernando and filippo | 15 | 2 |\n| 17 | english | dickie rock | come back to stay | - | 4 | 14 |\n| 18 | english | kenneth mckellar | a man without love | - | 9 | 8 |" + }, + { + "from": "human", + "value": "Examine the table titled 'eurovision song contest 1966' and judge whether the table entails or challenges the following hypothesis. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nthe english translation was - when ann christine was the artist" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it entails the hypothesis. So, the answer is {\"answer\": \"entails\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_25358", + "image": "table_instructV/images/Rotowire_train_table_1937.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Raptors | Toronto | 87 | 28 | 17 | 19 | 23 | 18 | 48 | 14 | 43 | 79 | 31 | 35 | 17 | | | | |\n| Spurs | San Antonio | 82 | 25 | 21 | 12 | 24 | 23 | 52 | 14 | 33 | 81 | 25 | 32 | 19 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| James Johnson | 30 | 20 | 4 | 0 | 8-10 | 80% | 1-1 | 100% | 3-4 | 75% | 0 | 1 | 0 | 1 | 3 | 0 | F | Toronto |\n| DeMar DeRozan | 36 | 18 | 3 | 4 | 4-14 | 29% | 0-1 | 0% | 10-12 | 83% | 3 | 3 | 1 | 0 | 3 | 4 | G | Toronto |\n| Amir Johnson | 26 | 15 | 8 | 1 | 6-8 | 75% | 0-0 | 0% | 3-4 | 75% | 1 | 1 | 1 | 1 | 7 | 3 | F | Toronto |\n| Kyle Lowry | 37 | 12 | 5 | 7 | 5-15 | 33% | 1-4 | 25% | 1-2 | 50% | 2 | 4 | 0 | 0 | 5 | 2 | G | Toronto |\n| Jonas Valanciunas | 34 | 8 | 16 | 0 | 3-7 | 43% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 4 | 3 | 13 | 1 | C | Toronto |\n| Patrick Patterson | 27 | 7 | 3 | 2 | 3-4 | 75% | 1-2 | 50% | 0-0 | 0% | 2 | 0 | 1 | 0 | 3 | 0 | N/A | Toronto |\n| Greivis Vasquez | 16 | 5 | 2 | 2 | 2-6 | 33% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Toronto |\n| Terrence Ross | 15 | 2 | 4 | 1 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 0 | 4 | 0 | N/A | Toronto |\n| Lou Williams | 15 | 0 | 1 | 1 | 0-5 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 2 | N/A | Toronto |\n| Tyler Hansbrough | 4 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 1 | N/A | Toronto |\n| Charles Hayes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Greg Stiemsma | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Landry Fields | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Tim Duncan | 32 | 12 | 12 | 5 | 3-14 | 21% | 0-0 | 0% | 6-6 | 100% | 2 | 2 | 2 | 5 | 7 | 1 | F | San Antonio |\n| Marco Belinelli | 17 | 12 | 2 | 3 | 5-8 | 63% | 2-4 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | San Antonio |\n| Kawhi Leonard | 37 | 11 | 5 | 1 | 5-17 | 29% | 1-5 | 20% | 0-0 | 0% | 1 | 3 | 0 | 2 | 3 | 1 | F | San Antonio |\n| Tony Parker | 30 | 10 | 3 | 3 | 4-13 | 31% | 1-3 | 33% | 1-2 | 50% | 0 | 2 | 1 | 1 | 2 | 3 | G | San Antonio |\n| Tiago Splitter | 19 | 10 | 7 | 2 | 4-8 | 50% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 1 | 4 | 3 | 1 | N/A | San Antonio |\n| Manu Ginobili | 27 | 9 | 4 | 3 | 3-13 | 23% | 1-7 | 14% | 2-2 | 100% | 1 | 1 | 0 | 1 | 3 | 3 | N/A | San Antonio |\n| Danny Green | 24 | 6 | 7 | 2 | 2-9 | 22% | 1-6 | 17% | 1-2 | 50% | 3 | 0 | 1 | 1 | 6 | 2 | G | San Antonio |\n| Boris Diaw | 24 | 6 | 6 | 2 | 2-5 | 40% | 1-2 | 50% | 1-2 | 50% | 1 | 2 | 1 | 3 | 3 | 1 | N/A | San Antonio |\n| Cory Joseph | 11 | 4 | 1 | 1 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 0 | 1 | 1 | N/A | San Antonio |\n| Aron Baynes | 13 | 2 | 5 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 3 | 2 | 2 | C | San Antonio |\n| Patty Mills | 6 | 0 | 0 | 1 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | San Antonio |\n| Matt Bonner | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | San Antonio |\n| Jeff Ayres | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |" + }, + { + "from": "human", + "value": "Taking into account the statistical tables from the NBA match between Raptors and Spurs on February 08, 2015, how would you describe the game in a comprehensive summary that highlights its significant events and outcomes?" + }, + { + "from": "gpt", + "value": "The Toronto Raptors (35-17) defeated the San Antonio Spurs (32-19) 87-82 on Sunday. The Raptors made a change to their starting lineup, moving James Johnson into the starting small forward spot and shifting Greivis Vasquez back to a bench role. Johnson capitalized on the promotion to score a game-high 20 points in 30 minutes. Vasquez played 16 minutes off the bench and put up five points and two assists. It was a gritty game, with both teams shooting 43 percent or worse from the floor. The Raptors pulled away from the Spurs thanks to their work at the free-throw line. DeMar DeRozan led the charge there, marching to the line to convert 10-of-12 attempts. The Spurs could n't buy a shot, shooting 33 percent from the field and 25 percent from beyond the arc. Tim Duncan and Marco Belinelli tied for a team-high 12 points, illustrating the Spurs' futility on offense. Toronto is in second place in the Eastern Conference, but they sit seven games behind the conference-leading Hawks. The Raptors will host the Wizards on Wednesday. San Antonio sits in seventh place in the Western Conference standings, 4 games ahead of the eighth place Suns. The Spurs will continue their nine-game road trip in Indiana on Monday." + } + ] + }, + { + "id": "table_instructV_multi_round_25483", + "image": "table_instructV/images/TabFact_1-27462177-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| no in series | title | directed by | written by | us viewers (millions) | original us air date | prod code |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | crazy ten minute sale | fred savage | todd j greenwald | 5.9 | october 12 , 2007 | 102 |\n| 2 | first kiss | joe regalbuto | vince cheung & ben montanio | 4.8 | october 19 , 2007 | 104 |\n| 3 | i almost drowned in a chocolate fountain | joe regalbuto | gigi mccreery & perry rein | 3.7 | october 26 , 2007 | 105 |\n| 4 | new employee | bob berlinger | peter murrieta | n / a | november 2 , 2007 | 107 |\n| 5 | disenchanted evening | mark cendrowski | jack sanderson | 4.6 | november 9 , 2007 | 114 |\n| 6 | you can't always get what you carpet | fred savage | peter murrieta | 4.0 | november 10 , 2007 | 101 |\n| 7 | alex 's choice | bob berlinger | matt goldman | n / a | november 16 , 2007 | 109 |\n| 8 | curb your dragon | bob berlinger | gigi mccreery & perry rein | n / a | november 30 , 2007 | 108 |\n| 9 | movies | mark cendrowski | justin varava | n / a | december 14 , 2007 | 113 |\n| 10 | pop me and we both go down | bob berlinger | vince cheung & ben montanio | n / a | january 6 , 2008 | 103 |\n| 11 | potion commotion | bob berlinger | todd j greenwald | n / a | february 10 , 2008 | 110 |\n| 12 | justin 's little sister | andrew tsao | eve weston | n / a | march 9 , 2008 | 117 |\n| 13 | wizard school (part 1) | mark cendrowski | vince cheung & ben montanio | 3.7 | april 6 , 2008 | 111 |\n| 14 | wizard school (part 2) | mark cendrowski | gigi mccreery & perry rein | 3.7 | april 6 , 2008 | 112 |\n| 15 | the supernatural | mark cendrowski | matt goldman | n / a | may 18 , 2008 | 115 |\n| 16 | alex in the middle | bob berlinger | matt goldman | n / a | june 15 , 2008 | 106 |\n| 17 | report card | andrew tsao | gigi mccreery , perry rein & peter murrieta | n / a | june 29 , 2008 | 118 |\n| 18 | credit check | fred savage | todd j greenwald | n / a | july 6 , 2008 | 121 |\n| 19 | alex 's spring fling | victor gonzalez | matt goldman | n / a | july 20 , 2008 | 119 |\n| 20 | quinceaã±era | victor gonzalez | gigi mccreery & perry rein | 3.7 | august 10 , 2008 | 116 |" + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following sentence is confirmed or challenged by the table. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\ntable title:wizards of waverly place (season 1)\nsentence: wizard school part 2 had more viewers than crazy ten minute sale did" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the sentence is false. So, the answer is {\"answer\": \"challenged\"}." + }, + { + "from": "human", + "value": "This is a table image titled 'wizards of waverly place (season 1)', help me determine if the table entails or challenges the following claim. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nthe episode with the largest amount of viewers was crazy ten minute sale" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the claim. Consequently, the answer is {\"answer\": \"entails\"}." + }, + { + "from": "human", + "value": "Table title: wizards of waverly place (season 1)\nhypothesis: there were three episodes aired on october 2007\nPlease distinguish whether the above hypothesis is substantiated or disproved by the table information. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "According to the table, the hypothesis is substantiated by the table information. Therefore, the final answer: {\"answer\": \"substantiated\"}." + }, + { + "from": "human", + "value": "Presented with a table with the title 'wizards of waverly place (season 1)', distinguish whether the table substantiates or disputes the following claim. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nclaim: there were more episodes in october 2007 , than in november 2007" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table disputes the validity of the claim. Therefore, the final answer: {\"answer\": \"disputes\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_25551", + "image": "table_instructV/images/ToTTo_train_table_3328.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Temple names (Miếu hiệu) | Birth names (Tên húy) | Birth-Death | Period of reigns | Era names (Niên hiệu) | Posthumous names (Thụy hiệu) | Ref. |\n| --- | --- | --- | --- | --- | --- | --- |\n| Thái Tổ (太祖) | Trần Thừa (陳承) | 1184–1234 | 1226–1234 | | Khai Vận Lập Cực Hoằng Nhân Ứng Đạo Thuần Chân Chí Đức Thần Vũ Thánh Văn Thùy Dụ Chí Hiếu Hoàng Đế (開運立極弘仁應道純真至德神武聖文垂裕至孝皇帝) | |\n| Thái Tông (太宗) | Trần Cảnh (陳煚) | 1218–1277 | 1226–1258 | Kiến Trung (建中, 1226–1232) Thiên Ứng Chính Bình (天應政平, 1232–1251) Nguyên Phong (元豐, 1251–1258) | Thống thiên ngự cực long công mậu đức hiển hòa hựu thuận thần văn thánh vũ nguyên hiếu hoàng đế (統天御極隆功茂德顯和佑順神文聖武元孝皇帝) | |\n| Thánh Tông (聖宗) | Trần Hoảng (陳晃) | 1240–1290 | 1258–1278 | Thiệu Long (紹隆, 1258–1272) Bảo Phù (寶符, 1273–1278) | Huyền công thịnh đức nhân minh văn vũ tuyên hiếu hoàng đế (玄功盛德仁明文武宣孝皇帝) | |\n| Nhân Tông (仁宗) | Trần Khâm (陳昑) | 1258–1308 | 1278–1293 | Thiệu Bảo (紹寶, 1278–1285) Trùng Hưng (重興, 1285–1293) | Pháp thiên sùng đạo ứng thế hoa dân long từ hiển huệ thánh văn thần vũ nguyên minh duệ hiếu hoàng đế (法天崇道應世化民隆慈顯惠聖文神武元明睿孝皇帝) | |\n| Anh Tông (英宗) | Trần Thuyên (陳烇) | 1276–1320 | 1293–1314 | Hưng Long (興隆, 1293–1314) | Hiển văn duệ vũ khâm minh nhân hiếu hoàng đế (顯文睿武欽明仁孝皇帝) | |\n| Minh Tông (明宗) | Trần Mạnh (陳奣) | 1300–1357 | 1314–1329 | Đại Khánh (大慶, 1314–1323) Khai Thái (開泰, 1324–1329) | Chương nghiêu văn triết hoàng đế (章堯文哲皇帝) | |\n| Hiến Tông (憲宗) | Trần Vượng (陳旺) | 1319–1341 | 1329–1341 | Khai Hựu (開佑, 1329–1341) | | |\n| Dụ Tông (裕宗) | Trần Hạo (陳暭) | 1336–1369 | 1341–1369 | Thiệu Phong (紹豐, 1341–1357) Đại Trị (大治, 1358–1369) | | |\n| | Dương Nhật Lễ (楊日禮) | ?–1370 | 1369–1370 | Đại Định (大定, 1369–1370) | Hôn Đức Công (昏德公) | |\n| Nghệ Tông (藝宗) | Trần Phủ (陳暊) | 1321–1394 | 1370–1372 | Thiệu Khánh (紹慶, 1370–1372) | Quang nghiêu anh triết hoàng đế (光堯英哲皇帝) | |\n| Duệ Tông (睿宗) | Trần Kính (陳曔) | 1337–1377 | 1373–1377 | Long Khánh (隆慶, 1373–1377) | | |\n| | Trần Hiện (陳晛) | 1361–1388 | 1377–1388 | Xương Phù (昌符, 1377–1388) | Phế Đế (廢帝) | |\n| Thuận Tông (順宗) | Trần Ngung (陳顒) | 1378–1399 | 1388–1398 | Quang Thái (光泰, 1388–1398) | | |\n| | Trần An (陳𤇼) | 1396–? | 1398–1400 | Kiến Tân (建新, 1398–1400) | Thiếu Đế (少帝) | |\n| | Trần Ngỗi (陳頠) | ? – 1410 | 2/10/1407 – 1409 | Hưng Khánh (興慶, 1407–1409) | Giản Định Đế | |\n| | Trần Quý Khoáng (陳季擴) | ? – 1414 | 17/3/1409 – 1414 | Trùng Quang (重光, 1409–1414) | Trùng Quang Đế (重光帝) | |\n| | Trần Cảo (陳暠) | ? – 1428 | 1426–1428 | Thiên Khánh (天慶, 1426–1428) | | |" + }, + { + "from": "human", + "value": "Consider the table titled 'List of emperors of the Trần dynasty', with its section named 'Emperors' and supplementary text: A : Before his death, Dụ Tông pass the throne to Dương Nhật Lễ ignoring the fact that Dương was not from the Trần clan.\nDrawing from the table and the provided metadata, formulate a sentence describing the highlighted cells' content." + }, + { + "from": "gpt", + "value": "Duệ Tông (1337–1377), real name Trần Kính (陳曔), was the emperor of the Trần dynasty who reigned from 1373 to 1377." + } + ] + }, + { + "id": "table_instructV_multi_round_25567", + "image": "table_instructV/images/TAT-QA_6d8cd709-6710-4195-a072-54581b88f604.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | | Year ended December 31, | |\n| --- | --- | --- | --- |\n| | 2019 | 2018 | 2017 |\n| Net cash provided by operating activities | $64,846 | $72,130 | $41,165 |\n| Net cash used in investing activities | (296,780) | (83,448) | (26,387) |\n| Net cash provided by financing activities | 9,042 | 397,255 | 6,783 |\n| Effect of exchange rate changes | 169 | (800) | (724) |\n| Net (decrease) increase in cash, cash equivalents, and restricted cash | $(222,723) | 385,137 | 20,837 |" + }, + { + "from": "human", + "value": "What is the percentage change in the net cash provided by operating activities between 2017 and 2018?\nAnswer the above question based on the provided table. Conclude your response with the final answer in the JSON format, structured as {\"answer\": []}." + }, + { + "from": "gpt", + "value": "According to this table, we have the following calculations: (72130 - 41165)/41165 = 75.22.\nThus, the answer is {\"answer\": [\"75.22\"]}." + }, + { + "from": "human", + "value": "Inspect this table picture and then address the question carefully. Provide a concluding answer in a JSON structure, using the format {\"answer\": []} such as {\"answer\": [\"20\", \"apple\"]}.\nWhat is the percentage change in the net cash provided by operating activities between 2018 and 2019?" + }, + { + "from": "gpt", + "value": "To answer the given question, we need to conduct the following computations:\n(64846 - 72130)/72130 = -10.1\nTherefore, the final answer is {\"answer\": [\"-10.1\"]}." + } + ] + }, + { + "id": "table_instructV_multi_round_25582", + "image": "table_instructV/images/Rotowire_train_table_2292.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kings | Sacramento | 94 | 14 | 24 | 30 | 26 | 26 | 45 | 21 | 44 | 75 | 32 | 1 | 6 | | | | |\n| Warriors | Golden State | 103 | 20 | 26 | 26 | 31 | 27 | 46 | 18 | 41 | 86 | 21 | 7 | 0 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Kings | | | | | | | | | | | | | | | | | | |\n| Rudy Gay | 34 | 22 | 7 | 1 | 10-25 | 40% | 1-4 | 25% | 1-1 | 100% | 1 | 4 | 0 | 2 | 5 | 2 | F | Sacramento |\n| Marco Belinelli | 35 | 22 | 3 | 2 | 5-11 | 46% | 3-6 | 50% | 9-10 | 90% | 1 | 4 | 0 | 1 | 2 | 1 | N/A | Sacramento |\n| Rajon Rondo | 44 | 14 | 12 | 15 | 7-20 | 35% | 0-3 | 0% | 0-0 | 0% | 4 | 3 | 0 | 2 | 10 | 3 | G | Sacramento |\n| Kosta Koufos | 27 | 12 | 10 | 0 | 6-9 | 67% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 5 | 5 | 5 | C | Sacramento |\n| Omri Casspi | 29 | 10 | 8 | 2 | 4-7 | 57% | 2-4 | 50% | 0-0 | 0% | 0 | 3 | 0 | 1 | 7 | 3 | N/A | Sacramento |\n| Willie Cauley-Stein | 20 | 6 | 1 | 1 | 3-4 | 75% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 1 | 0 | 2 | N/A | Sacramento |\n| Quincy Acy | 15 | 3 | 3 | 2 | 1-1 | 100% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 1 | 0 | 3 | 0 | F | Sacramento |\n| Ben McLemore | 16 | 2 | 1 | 0 | 1-4 | 25% | 0-1 | 0% | 0-1 | 0% | 1 | 4 | 0 | 1 | 0 | 2 | N/A | Sacramento |\n| James Anderson | 14 | 2 | 0 | 3 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 1 | 0 | 0 | 1 | G | Sacramento |\n| Caron Butler | 6 | 1 | 0 | 0 | 0-3 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Sacramento |\n| Duje Dukan | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Eric Moreland | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Seth Curry | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 39 | 24 | 6 | 3 | 8-18 | 44% | 2-10 | 20% | 6-7 | 86% | 2 | 6 | 0 | 1 | 5 | 1 | G | Golden State |\n| Klay Thompson | 36 | 18 | 3 | 3 | 7-16 | 44% | 4-11 | 36% | 0-0 | 0% | 0 | 3 | 1 | 0 | 3 | 4 | G | Golden State |\n| Andre Iguodala | 34 | 14 | 6 | 4 | 6-8 | 75% | 2-3 | 67% | 0-0 | 0% | 4 | 1 | 0 | 2 | 4 | 0 | N/A | Golden State |\n| Harrison Barnes | 32 | 13 | 2 | 4 | 4-17 | 24% | 0-7 | 0% | 5-6 | 83% | 2 | 0 | 0 | 0 | 2 | 3 | F | Golden State |\n| Draymond Green | 38 | 10 | 9 | 7 | 3-8 | 38% | 0-3 | 0% | 4-4 | 100% | 2 | 5 | 0 | 4 | 5 | 3 | F | Golden State |\n| Festus Ezeli | 22 | 10 | 12 | 0 | 3-9 | 33% | 0-0 | 0% | 4-5 | 80% | 0 | 1 | 1 | 4 | 8 | 0 | C | Golden State |\n| Shaun Livingston | 18 | 6 | 1 | 3 | 3-5 | 60% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 2 | N/A | Golden State |\n| Leandro Barbosa | 12 | 4 | 4 | 3 | 2-7 | 29% | 0-4 | 0% | 0-0 | 0% | 1 | 1 | 0 | 3 | 1 | 1 | N/A | Golden State |\n| Jason Thompson | 7 | 2 | 3 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 1 | N/A | Golden State |\n| Marreese Speights | 3 | 2 | 0 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Golden State |\n| James Michael McAdoo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Ian Clark | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Brandon Rush | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |" + }, + { + "from": "human", + "value": "With the statistical data from the box-score and line-score tables of the NBA matchup between Kings and Warriors dated 07/11/2015, draft a detailed narrative describing the game's progression and outcomes." + }, + { + "from": "gpt", + "value": "The Golden State Warriors (70) defeated the Sacramento Kings (1-6) 103-94 on Saturday. This game was much closer than most people would have anticipated, as the Warriors had their worst shooting night of the season. The still ended up prevailing with the victory despite shooting 8-for-39 from three-point range. The most notable stat line was a triple-double from Rajon Rondo, as he accumulated 14 points, 12 rebounds, 15 assists and four steals in the loss. Both teams were playing the second half of a back-to-back and that really showed, as both the Kings and Warriors barely shot above 40 percent and committed 39 combined turnovers in what 's usually a high-scoring matchup. The Warriors continued their raving success, despite MVP Steph Curry shooting 2-for-10 from long distance. He still managed to put up 24 points, six rebounds and three assists in the win despite the off shooting night. The key tonight for the Warriors was the defense, as they accumulated 13 steals and held the Kings to 44 percent shooting. Draymond Green also flirted with a triple-double, as he amassed 10 points, nine rebounds and seven assists in the victory. This team looks nearly unstoppable at this point and they 'll look to stay undefeated in their next game against the Detroit Pistons on Monday. The Kings now fall to 0-5 without DeMarcus Cousins with this close loss to the NBA champs, but this may have been their best performance of the season. They appeared to have one of the worst defenses in the NBA coming into this matchup, but holding the Warriors to 103 points on 41 percent shooting is a win in its own right. Along with Rondo 's triple-double, the Kings got matching 22-point performances from Rudy Gay and Marco Belinelli. Even though it 's a loss, this game can be something to build off of for this underperforming Kings squad. Sacramento 's next game will be on Monday against the Spurs and they 'll hope DeMarcus Cousins returns from his Achilles injury for that matchup." + } + ] + }, + { + "id": "table_instructV_multi_round_25609", + "image": "table_instructV/images/Rotowire_train_table_2428.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wizards | Washington | 99 | 40 | 27 | 21 | 11 | 24 | 43 | 15 | 46 | 89 | 30 | 35 | 27 | | | | |\n| Heat | Miami | 97 | 18 | 21 | 34 | 24 | 18 | 37 | 14 | 47 | 68 | 37 | 27 | 34 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| Nene | 32 | 20 | 2 | 4 | 6-12 | 50% | 0-0 | 0% | 8-8 | 100% | 0 | 3 | 0 | 0 | 2 | 3 | F | Washington |\n| Bradley Beal | 33 | 17 | 2 | 1 | 6-11 | 55% | 2-4 | 50% | 3-5 | 60% | 0 | 1 | 0 | 0 | 2 | 4 | G | Washington |\n| Marcin Gortat | 32 | 14 | 17 | 1 | 7-12 | 58% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 2 | 4 | 13 | 1 | C | Washington |\n| Drew Gooden | 17 | 11 | 4 | 0 | 4-9 | 44% | 1-3 | 33% | 2-2 | 100% | 0 | 0 | 0 | 2 | 2 | 2 | N/A | Washington |\n| Paul Pierce | 22 | 10 | 3 | 1 | 4-9 | 44% | 2-6 | 33% | 0-0 | 0% | 0 | 3 | 0 | 0 | 3 | 0 | F | Washington |\n| Garrett Temple | 18 | 6 | 1 | 1 | 2-3 | 67% | 2-3 | 67% | 0-0 | 0% | 0 | 1 | 0 | 1 | 0 | 3 | N/A | Washington |\n| John Wall | 35 | 6 | 7 | 12 | 2-7 | 29% | 0-3 | 0% | 2-2 | 100% | 3 | 0 | 2 | 1 | 6 | 1 | G | Washington |\n| Otto Porter | 28 | 6 | 3 | 1 | 3-10 | 30% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 2 | 3 | N/A | Washington |\n| Ramon Sessions | 13 | 5 | 3 | 2 | 2-5 | 40% | 0-2 | 0% | 1-1 | 100% | 2 | 2 | 0 | 0 | 3 | 2 | N/A | Washington |\n| Kevin Seraphin | 9 | 4 | 1 | 1 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 1 | 0 | 2 | N/A | Washington |\n| Martell Webster | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| DeJuan Blair | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Rasual Butler | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Goran Dragic | 29 | 18 | 5 | 7 | 7-12 | 58% | 1-2 | 50% | 3-7 | 43% | 1 | 4 | 0 | 2 | 3 | 4 | G | Miami |\n| Shabazz Napier | 31 | 16 | 2 | 4 | 5-10 | 50% | 4-6 | 67% | 2-2 | 100% | 1 | 0 | 0 | 0 | 2 | 2 | N/A | Miami |\n| Michael Beasley | 22 | 13 | 3 | 2 | 6-13 | 46% | 1-4 | 25% | 0-0 | 0% | 0 | 2 | 0 | 0 | 3 | 1 | N/A | Miami |\n| Tyler Johnson | 36 | 11 | 5 | 3 | 5-8 | 63% | 0-3 | 0% | 1-2 | 50% | 1 | 2 | 0 | 3 | 2 | 2 | G | Miami |\n| James Ennis III | 29 | 11 | 5 | 0 | 2-3 | 67% | 2-2 | 100% | 5-6 | 83% | 1 | 4 | 0 | 1 | 4 | 2 | N/A | Miami |\n| Hassan Whiteside | 20 | 10 | 2 | 0 | 5-8 | 63% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 2 | 1 | C | Miami |\n| Henry Walker | 33 | 8 | 4 | 0 | 3-12 | 25% | 2-9 | 22% | 0-0 | 0% | 0 | 1 | 0 | 0 | 4 | 4 | F | Miami |\n| Udonis Haslem | 27 | 6 | 5 | 1 | 3-9 | 33% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 1 | 4 | 2 | F | Miami |\n| Chris Andersen | 13 | 4 | 6 | 1 | 1-4 | 25% | 0-1 | 0% | 2-2 | 100% | 0 | 1 | 0 | 1 | 5 | 1 | N/A | Miami |\n| Mario Chalmers | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Dwyane Wade | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Luol Deng | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |" + }, + { + "from": "human", + "value": "This image shows the box-score table and the line-score table of an NBA game between Wizards and Heat on 06/03/2015. Write a detailed game summary based on the data statistics." + }, + { + "from": "gpt", + "value": "The Washington Wizards (34-27) beat an injury-depleted Miami Heat (27-33) lineup 99-97 on Friday. Marcin Gortat led the way for the Wizards with a double-double of 14 points and 17 rebounds, tying the season-high 17 rebounds mark he set last Saturday against the Pistons. Washington lost their first five games coming out of the All-Star break but have turned things around with wins in two of their last three games. They got a leg up on the Heat by scoring 20 easy points off of 17 Miami turnovers, while the Heat scored just 10 points off of 15 Washington turnovers. Miami had to use a patchwork lineup to get through Friday 's matchup, as the team seemed more focused on the second game of their back-to-back set Saturday when they 'll return home to host a Sacramento Kings team that will afford them a good chance to secure a win. Tyler Johnson, who was signed out of the D-League on Jan. 11, started at shooting guard in place of Dwyane Wade. Wade sat out the game with a sore right hip. They also had Luol Deng sitting out the game with a right thigh contusion, which led to Henry Walker starting at small forward. To triple-down on injuries for the evening, starting point guard Goran Dragic was forced to leave the game in the third quarter with a lower back contusion and could not return. It is unclear what any of their statuses will be for Saturday 's game. In the nine games they 've played since the end of the All-Star break, the Heat have won five games. After losing the first game of their season series on Opening Night, the Wizards took down the Heat in each of their final three matchups this season to win the season series 3-1. With the loss, Miami fell into a tie for eighth place in the Eastern Conference playoff standings, and with several teams hovering around the final playoff spot in the East, every game will be big for the Heat the rest of the way. The Wizards will begin a two-game road trip in Milwaukee on Saturday." + } + ] + }, + { + "id": "table_instructV_multi_round_25694", + "image": "table_instructV/images/Rotowire_train_table_877.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Grizzlies | Memphis | 97 | 22 | 21 | 23 | 31 | 12 | 45 | 4 | 39 | 88 | 15 | 21 | 5 | | | | |\n| Bulls | Chicago | 103 | 20 | 31 | 22 | 30 | 17 | 51 | 9 | 44 | 88 | 39 | 17 | 9 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Grizzlies | | | | | | | | | | | | | | | | | | |\n| Mike Conley | 32 | 21 | 3 | 2 | 7-18 | 39% | 1-5 | 20% | 6-7 | 86% | 0 | 2 | 1 | 0 | 3 | 2 | G | Memphis |\n| Beno Udrih | 20 | 15 | 0 | 1 | 5-8 | 63% | 0-0 | 0% | 5-5 | 100% | 2 | 1 | 0 | 0 | 0 | 0 | N/A | Memphis |\n| Marc Gasol | 30 | 13 | 10 | 3 | 5-15 | 33% | 0-0 | 0% | 3-4 | 75% | 1 | 1 | 1 | 4 | 6 | 5 | C | Memphis |\n| Vince Carter | 22 | 10 | 2 | 0 | 4-9 | 44% | 0-2 | 0% | 2-2 | 100% | 0 | 0 | 0 | 1 | 1 | 3 | N/A | Memphis |\n| Tayshaun Prince | 24 | 8 | 1 | 0 | 3-8 | 38% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 1 | 1 | 0 | 1 | F | Memphis |\n| Zach Randolph | 22 | 8 | 12 | 1 | 4-11 | 36% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 5 | 7 | 2 | F | Memphis |\n| Courtney Lee | 30 | 7 | 2 | 2 | 3-9 | 33% | 1-3 | 33% | 0-0 | 0% | 1 | 0 | 0 | 0 | 2 | 0 | G | Memphis |\n| Jon Leuer | 21 | 6 | 4 | 2 | 3-5 | 60% | 0-1 | 0% | 0-1 | 0% | 0 | 0 | 0 | 0 | 4 | 6 | N/A | Memphis |\n| Kosta Koufos | 18 | 4 | 8 | 0 | 2-6 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 3 | 2 | 6 | 1 | N/A | Memphis |\n| Nick Calathes | 7 | 3 | 0 | 1 | 1-3 | 33% | 0-1 | 0% | 1-1 | 100% | 0 | 0 | 0 | 0 | 0 | 3 | N/A | Memphis |\n| Quincy Pondexter | 15 | 2 | 3 | 0 | 0-2 | 0% | 0-1 | 0% | 2-2 | 100% | 0 | 0 | 0 | 1 | 2 | 2 | N/A | Memphis |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Jimmy Butler | 43 | 31 | 10 | 1 | 11-21 | 52% | 0-2 | 0% | 9-9 | 100% | 2 | 0 | 0 | 3 | 7 | 2 | G | Chicago |\n| Nikola Mirotic | 30 | 27 | 8 | 1 | 7-10 | 70% | 6-6 | 100% | 7-8 | 88% | 0 | 1 | 1 | 0 | 8 | 0 | N/A | Chicago |\n| Aaron Brooks | 32 | 17 | 1 | 4 | 6-13 | 46% | 3-7 | 43% | 2-2 | 100% | 0 | 4 | 0 | 1 | 0 | 3 | N/A | Chicago |\n| Joakim Noah | 34 | 10 | 13 | 2 | 2-3 | 67% | 0-0 | 0% | 6-8 | 75% | 0 | 2 | 1 | 1 | 12 | 5 | C | Chicago |\n| Pau Gasol | 32 | 6 | 11 | 2 | 2-7 | 29% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 1 | 2 | 9 | 3 | F | Chicago |\n| Mike Dunleavy | 31 | 5 | 5 | 0 | 2-6 | 33% | 1-5 | 20% | 0-0 | 0% | 0 | 0 | 0 | 1 | 4 | 1 | F | Chicago |\n| Kirk Hinrich | 32 | 5 | 2 | 7 | 2-9 | 22% | 0-3 | 0% | 1-2 | 50% | 0 | 1 | 0 | 0 | 2 | 3 | G | Chicago |\n| E'Twaun Moore | 1 | 2 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Chicago |\n| Tony Snell | 6 | 0 | 1 | 0 | 0-4 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Chicago |\n| Cameron Bairstow | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Nazr Mohammed | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |" + }, + { + "from": "human", + "value": "Based on the shown data statistics of an NBA game on 2014-12-19, give me a detailed summary for this game." + }, + { + "from": "gpt", + "value": "The Chicago Bulls (17-9) defeated the Memphis Grizzlies (21-5) 103-97 on Friday. Chicago has won two straight and five of their last six games. Derrick Rose has sat out their last two wins, with Jimmy Butler picking up the slack, and some. Butler scored a game-high 31 points, nearly matching the career-high 35 points he scored in Thursday 's win over the Knicks. Taj Gibson (ankle) missed a second straight game, and in his place, Nikola Mirotic put up a career-high 27 points ad six three-pointers off the bench. Aaron Brooks also chipped in with 17 points in 32 minutes off the bench. Chicago 's schedule continues to feed them tough match-ups. They 'll host the Toronto Raptors on Monday. Memphis had their six-game win streak snapped with the loss. Tony Allen sat out a second straight game with a scractched eye. While the Grizzlies used Quincy Pondexter as Allen 's replacement in the staring lineup in their 117-116 triple-overtime win over the San Antonio Spurs on Wednesday, Tayshaun Prince moved into the starting lineup over Pondexter on Friday. Prince put up eight points in 24 minutes. Mike Conley scored a team-high 21 points, but the Grizzlies shot just 39 percent from the field and 15 percent from beyond the arc." + }, + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the latex-format." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|}\n\\hline\n TEAM-NAME & CITY & PTS & PTS\\_QTR1 & PTS\\_QTR2 & PTS\\_QTR3 & PTS\\_QTR4 & AST & REB & TOV & FG\\_PCT & FT\\_PCT & FG3\\_PCT & WINS & LOSSES & & & & \\\\\n\\hline\n Grizzlies & Memphis & 97 & 22 & 21 & 23 & 31 & 12 & 45 & 4 & 39 & 88 & 15 & 21 & 5 & & & & \\\\\n\\hline\n Bulls & Chicago & 103 & 20 & 31 & 22 & 30 & 17 & 51 & 9 & 44 & 88 & 39 & 17 & 9 & & & & \\\\\n\\hline\n & & & & & & & & & & & & & & & & & & \\\\\n\\hline\n PLAYER\\_NAME & MIN & PTS & REB & AST & FG & FG\\_PCT & FG3 & FG3\\_PCT & FT & FT\\_PCT & STL & TO & BLK & OREB & DREB & PF & START\\_POSITION & TEAM\\_CITY \\\\\n\\hline\n Grizzlies & & & & & & & & & & & & & & & & & & \\\\\n\\hline\n Mike Conley & 32 & 21 & 3 & 2 & 7-18 & 39\\% & 1-5 & 20\\% & 6-7 & 86\\% & 0 & 2 & 1 & 0 & 3 & 2 & G & Memphis \\\\\n\\hline\n Beno Udrih & 20 & 15 & 0 & 1 & 5-8 & 63\\% & 0-0 & 0\\% & 5-5 & 100\\% & 2 & 1 & 0 & 0 & 0 & 0 & N/A & Memphis \\\\\n\\hline\n Marc Gasol & 30 & 13 & 10 & 3 & 5-15 & 33\\% & 0-0 & 0\\% & 3-4 & 75\\% & 1 & 1 & 1 & 4 & 6 & 5 & C & Memphis \\\\\n\\hline\n Vince Carter & 22 & 10 & 2 & 0 & 4-9 & 44\\% & 0-2 & 0\\% & 2-2 & 100\\% & 0 & 0 & 0 & 1 & 1 & 3 & N/A & Memphis \\\\\n\\hline\n Tayshaun Prince & 24 & 8 & 1 & 0 & 3-8 & 38\\% & 0-0 & 0\\% & 2-2 & 100\\% & 0 & 0 & 1 & 1 & 0 & 1 & F & Memphis \\\\\n\\hline\n Zach Randolph & 22 & 8 & 12 & 1 & 4-11 & 36\\% & 0-0 & 0\\% & 0-0 & 0\\% & 0 & 0 & 0 & 5 & 7 & 2 & F & Memphis \\\\\n\\hline\n Courtney Lee & 30 & 7 & 2 & 2 & 3-9 & 33\\% & 1-3 & 33\\% & 0-0 & 0\\% & 1 & 0 & 0 & 0 & 2 & 0 & G & Memphis \\\\\n\\hline\n Jon Leuer & 21 & 6 & 4 & 2 & 3-5 & 60\\% & 0-1 & 0\\% & 0-1 & 0\\% & 0 & 0 & 0 & 0 & 4 & 6 & N/A & Memphis \\\\\n\\hline\n Kosta Koufos & 18 & 4 & 8 & 0 & 2-6 & 33\\% & 0-0 & 0\\% & 0-0 & 0\\% & 0 & 0 & 3 & 2 & 6 & 1 & N/A & Memphis \\\\\n\\hline\n Nick Calathes & 7 & 3 & 0 & 1 & 1-3 & 33\\% & 0-1 & 0\\% & 1-1 & 100\\% & 0 & 0 & 0 & 0 & 0 & 3 & N/A & Memphis \\\\\n\\hline\n Quincy Pondexter & 15 & 2 & 3 & 0 & 0-2 & 0\\% & 0-1 & 0\\% & 2-2 & 100\\% & 0 & 0 & 0 & 1 & 2 & 2 & N/A & Memphis \\\\\n\\hline\n Bulls & & & & & & & & & & & & & & & & & & \\\\\n\\hline\n Jimmy Butler & 43 & 31 & 10 & 1 & 11-21 & 52\\% & 0-2 & 0\\% & 9-9 & 100\\% & 2 & 0 & 0 & 3 & 7 & 2 & G & Chicago \\\\\n\\hline\n Nikola Mirotic & 30 & 27 & 8 & 1 & 7-10 & 70\\% & 6-6 & 100\\% & 7-8 & 88\\% & 0 & 1 & 1 & 0 & 8 & 0 & N/A & Chicago \\\\\n\\hline\n Aaron Brooks & 32 & 17 & 1 & 4 & 6-13 & 46\\% & 3-7 & 43\\% & 2-2 & 100\\% & 0 & 4 & 0 & 1 & 0 & 3 & N/A & Chicago \\\\\n\\hline\n Joakim Noah & 34 & 10 & 13 & 2 & 2-3 & 67\\% & 0-0 & 0\\% & 6-8 & 75\\% & 0 & 2 & 1 & 1 & 12 & 5 & C & Chicago \\\\\n\\hline\n Pau Gasol & 32 & 6 & 11 & 2 & 2-7 & 29\\% & 0-0 & 0\\% & 2-2 & 100\\% & 0 & 1 & 1 & 2 & 9 & 3 & F & Chicago \\\\\n\\hline\n Mike Dunleavy & 31 & 5 & 5 & 0 & 2-6 & 33\\% & 1-5 & 20\\% & 0-0 & 0\\% & 0 & 0 & 0 & 1 & 4 & 1 & F & Chicago \\\\\n\\hline\n Kirk Hinrich & 32 & 5 & 2 & 7 & 2-9 & 22\\% & 0-3 & 0\\% & 1-2 & 50\\% & 0 & 1 & 0 & 0 & 2 & 3 & G & Chicago \\\\\n\\hline\n E'Twaun Moore & 1 & 2 & 0 & 0 & 0-0 & 0\\% & 0-0 & 0\\% & 2-2 & 100\\% & 0 & 0 & 0 & 0 & 0 & 0 & N/A & Chicago \\\\\n\\hline\n Tony Snell & 6 & 0 & 1 & 0 & 0-4 & 0\\% & 0-3 & 0\\% & 0-0 & 0\\% & 0 & 0 & 0 & 0 & 1 & 1 & N/A & Chicago \\\\\n\\hline\n Cameron Bairstow & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Chicago \\\\\n\\hline\n Nazr Mohammed & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & N/A & Chicago \\\\\n\\hline\n\\end{tabular}" + } + ] + }, + { + "id": "table_instructV_multi_round_25704", + "image": "table_instructV/images/Rotowire_train_table_2133.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Grizzlies | Memphis | 96 | 28 | 19 | 29 | 20 | 18 | 53 | 13 | 38 | 80 | 12 | 15 | 8 | | | | |\n| 76ers | Philadelphia | 91 | 20 | 23 | 34 | 14 | 21 | 45 | 16 | 39 | 50 | 34 | 4 | 18 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Grizzlies | | | | | | | | | | | | | | | | | | |\n| Marc Gasol | 34 | 26 | 12 | 3 | 9-17 | 53% | 0-2 | 0% | 8-10 | 80% | 1 | 4 | 2 | 1 | 11 | 3 | C | Memphis |\n| JaMychal Green | 35 | 13 | 10 | 3 | 2-7 | 29% | 0-0 | 0% | 9-10 | 90% | 2 | 3 | 1 | 3 | 7 | 4 | F | Memphis |\n| Zach Randolph | 22 | 12 | 14 | 1 | 5-16 | 31% | 0-0 | 0% | 2-4 | 50% | 0 | 0 | 0 | 6 | 8 | 0 | N/A | Memphis |\n| Wade Baldwin IV | 24 | 11 | 1 | 2 | 2-6 | 33% | 0-1 | 0% | 7-8 | 88% | 0 | 3 | 0 | 0 | 1 | 5 | N/A | Memphis |\n| Troy Daniels | 25 | 10 | 1 | 1 | 4-14 | 29% | 1-8 | 13% | 1-1 | 100% | 0 | 0 | 0 | 0 | 1 | 5 | N/A | Memphis |\n| Tony Allen | 27 | 9 | 4 | 2 | 4-7 | 57% | 0-0 | 0% | 1-2 | 50% | 2 | 2 | 0 | 0 | 4 | 2 | F | Memphis |\n| Troy Williams | 31 | 8 | 3 | 1 | 4-6 | 67% | 0-2 | 0% | 0-0 | 0% | 2 | 0 | 1 | 1 | 2 | 4 | G | Memphis |\n| Jarell Martin | 10 | 3 | 2 | 0 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Memphis |\n| Toney Douglas | 6 | 2 | 2 | 1 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | Memphis |\n| Andrew Harrison | 28 | 2 | 4 | 4 | 1-9 | 11% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 1 | 0 | 4 | 2 | G | Memphis |\n| Deyonta Davis | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| James Ennis III | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Vince Carter | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Ersan Ilyasova | 40 | 23 | 17 | 4 | 7-19 | 37% | 4-13 | 31% | 5-7 | 71% | 1 | 2 | 2 | 3 | 14 | 5 | F | Philadelphia |\n| Dario Saric | 25 | 17 | 7 | 0 | 6-12 | 50% | 3-6 | 50% | 2-3 | 67% | 1 | 2 | 0 | 2 | 5 | 4 | N/A | Philadelphia |\n| Nik Stauskas | 38 | 12 | 4 | 1 | 3-10 | 30% | 1-8 | 13% | 5-10 | 50% | 0 | 0 | 1 | 0 | 4 | 2 | F | Philadelphia |\n| Richaun Holmes | 34 | 10 | 6 | 2 | 5-13 | 39% | 0-2 | 0% | 0-1 | 0% | 1 | 2 | 3 | 3 | 3 | 4 | C | Philadelphia |\n| Hollis Thompson | 23 | 7 | 1 | 2 | 2-6 | 33% | 2-4 | 50% | 1-2 | 50% | 0 | 1 | 1 | 0 | 1 | 2 | N/A | Philadelphia |\n| Timothe Luwawu-Cabarrot | 16 | 7 | 2 | 0 | 3-6 | 50% | 1-2 | 50% | 0-2 | 0% | 0 | 2 | 0 | 0 | 2 | 4 | N/A | Philadelphia |\n| Gerald Henderson | 16 | 5 | 3 | 0 | 2-4 | 50% | 1-1 | 100% | 0-1 | 0% | 0 | 1 | 0 | 0 | 3 | 1 | G | Philadelphia |\n| TJ McConnell | 25 | 5 | 2 | 9 | 2-5 | 40% | 1-1 | 100% | 0-0 | 0% | 2 | 3 | 0 | 1 | 1 | 2 | N/A | Philadelphia |\n| Sergio Rodriguez | 23 | 5 | 3 | 3 | 2-7 | 29% | 1-4 | 25% | 0-0 | 0% | 0 | 3 | 0 | 0 | 3 | 3 | G | Philadelphia |\n| Jerryd Bayless | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Joel Embiid | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Robert Covington | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Jahlil Okafor | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |" + }, + { + "from": "human", + "value": "This picture contains data records of an NBA game between Grizzlies and 76ers. The game date is December 06, 2016. Based on the given data, generate a comprehensive summary for this game." + }, + { + "from": "gpt", + "value": "When rookie forward Dario Saric was sent to the bench on Nov. 16 in favor of the newly-acquired Ersan Ilyasova, his production slowly started to dip. In fact, he went a three-game period where he scored a total of 10 points and made just three field goals. But as of late, it looks like Saric has finally hit his stride in his new role, and Tuesday 's 17-point, seven-rebound performance was yet another example of Saric carving out a legitimate role on a struggling Philadelphia team. After Tuesday 's performance, Saric is now averaging 18 points and and 9 rebounds while shooting 52 percent from the field overall and a scorching 50 percent from behind the arc. Meanwhile, after Ilyasova 's monster double-double of 23 points and 17 rebounds Tuesday, he is 19 points and 10 rebounds over those same four games, giving head coach Brett Brown, at least for now, the balance he was looking for at the power forward position when he made the move in mid-November." + } + ] + }, + { + "id": "table_instructV_multi_round_25738", + "image": "table_instructV/images/TabFact_2-10650879-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| team | bowl | season coach | interim head coach | result | 2008 head coach |\n| --- | --- | --- | --- | --- | --- |\n| arkansas | cotton | houston nutt | reggie herring | lost | bobby petrino |\n| georgia tech | humanitarian | chan gailey | jon tenuta | lost | paul johnson |\n| houston | texas | art briles | chris thurmond | lost | kevin sumlin |\n| navy | poinsettia | paul johnson | ken niumatalolo | lost | same |\n| texas a&m | alamo | dennis franchione | gary darnell | lost | mike sherman |\n| ucla | las vegas | karl dorrell | dewayne walker | lost | rick neuheisel |\n| west virginia | fiesta | rich rodriguez | bill stewart | won | same |" + }, + { + "from": "human", + "value": "Analyze this table picture about '2007 - 08 ncaa football bowl games' and classify whether the given table supports or challenges the claim. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\n\nrick neuheisel was ucla 's 2008 head coach" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it supports the claim. So, the answer is {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "This is a table named '2007 - 08 ncaa football bowl games', please determine whether the given hypothesis is entailed or disproved by the table information. Output the final answer as JSON in the format {\"answer\": \"\"}.\ntexas a&m lost under interim head coach gary darnell" + }, + { + "from": "gpt", + "value": "Based on the table information, the hypothesis is true. Thus, the answer is {\"answer\": \"entailed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_25756", + "image": "table_instructV/images/ToTTo_train_table_25425.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Year | Dates | Rounds | Field | Avg. Elo | Top score | Winners |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1971 | March 14–20 | 7 | 33 | 2190 | 6 | Larry Evans (United States) |\n| 1972 | March 12–18 | 7 | 35 | 2262 | 6 | Svetozar Gligorić (Yugoslavia) |\n| 1973 | March 18–24 | 7 | 48 | 2322 | 6 | Arthur Bisguier (United States) |\n| 1974 | March 24–30 | 7 | 53 | 2310 | 6 | Walter Browne (United States) |\n| 1975 | April 13–24 | 10 | 44 | 2428 | 7½ | Vladimir Liberzon (Israel) |\n| 1976 | March 7–13 | 7 | 57 | 2371 | 5½ | Tigran Petrosian (Soviet Union) |\n| 1977 | March 20–30 | 9 | 48 | 2410 | 6½ | Yuri Balashov (Soviet Union) Dragutin Sahović (Yugoslavia) Oscar Panno (Argentina) Nona Gaprindashvili (Soviet Union) |\n| 1978 | April 1–12 | 9 | 68 | 2431 | 7½ | Bent Larsen (Denmark) |\n| 1979 | March 25–April 4 | 9 | 73 | 2444 | 6½ | Svetozar Gligorić (Yugoslavia) Florin Gheorghiu (Romania) Vladimir Liberzon (Israel) Vlastimil Hort (Czechoslovakia) |\n| 1980 | March 16–26 | 9 | 43 | 2487 | 7 | Roman Dzindzichashvili (Israel) |\n| 1981 | March 29–April 8 | 9 | 61 | | 7 | Viktor Korchnoi (Switzerland) |" + }, + { + "from": "human", + "value": "Consider the table titled 'Lone Pine International', with its section title 'Summary'\nFormulate a sentence describing the highlighted cells' content." + }, + { + "from": "gpt", + "value": "In Lone Pine International, the field of 48 had an average rating of 2410." + } + ] + }, + { + "id": "table_instructV_multi_round_25757", + "image": "table_instructV/images/TABMWP_1075.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Date | Description | Received | Expenses | Available Funds |\n| --- | --- | --- | --- | --- |\n| | Balance: end of November | | | $328.20 |\n| 12/5 | wrapping paper | | $4.95 | $323.25 |\n| 12/16 | watching Ms. Durham's cat | $15.00 | | $338.25 |\n| 12/29 | calendar | | $7.80 | $330.45 |" + }, + { + "from": "human", + "value": "Based on the table, solve the math word problem. Give a solution step by step. Format the ultimate answer as a JSON, using the structure {\"answer\": \"\"}.\nProblem: This is Sandra's complete financial record for December. How much money did Sandra spend on December 29? (Unit: $)\nSolution:" + }, + { + "from": "gpt", + "value": "Look at the 12/29 row. The expenses were $7.80. So, Sandra spent $7.80 on December 29.\n\n\nTherefore, the final answer is {\"answer\": \"7.80\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_25766", + "image": "table_instructV/images/Rotowire_train_table_2467.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nets | Brooklyn | 92 | 16 | 33 | 17 | 26 | 18 | 45 | 19 | 40 | 64 | 32 | 4 | 10 | | | | |\n| Celtics | Boston | 111 | 30 | 21 | 28 | 32 | 26 | 51 | 13 | 46 | 75 | 40 | 9 | 6 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Nets | | | | | | | | | | | | | | | | | | |\n| Sean Kilpatrick | 32 | 23 | 2 | 3 | 8-17 | 47% | 1-4 | 25% | 6-8 | 75% | 0 | 3 | 3 | 0 | 2 | 1 | N/A | Brooklyn |\n| Trevor Booker | 33 | 18 | 12 | 3 | 8-13 | 62% | 1-2 | 50% | 1-2 | 50% | 4 | 3 | 0 | 5 | 7 | 3 | F | Brooklyn |\n| Bojan Bogdanovic | 28 | 14 | 8 | 2 | 6-12 | 50% | 2-7 | 29% | 0-0 | 0% | 0 | 2 | 0 | 0 | 8 | 0 | G | Brooklyn |\n| Brook Lopez | 28 | 13 | 3 | 2 | 4-14 | 29% | 1-6 | 17% | 4-5 | 80% | 2 | 0 | 1 | 1 | 2 | 1 | C | Brooklyn |\n| Joe Harris | 25 | 12 | 3 | 0 | 4-7 | 57% | 4-6 | 67% | 0-0 | 0% | 0 | 3 | 0 | 0 | 3 | 2 | N/A | Brooklyn |\n| Rondae Hollis-Jefferson | 15 | 4 | 4 | 2 | 1-4 | 25% | 1-2 | 50% | 1-4 | 25% | 0 | 0 | 1 | 1 | 3 | 2 | F | Brooklyn |\n| Isaiah Whitehead | 24 | 4 | 4 | 3 | 2-8 | 25% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 1 | 0 | 4 | 2 | G | Brooklyn |\n| Randy Foye | 12 | 2 | 2 | 2 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 1 | N/A | Brooklyn |\n| Justin Hamilton | 19 | 2 | 0 | 0 | 0-2 | 0% | 0-1 | 0% | 2-3 | 67% | 0 | 0 | 1 | 0 | 0 | 0 | N/A | Brooklyn |\n| Chris McCullough | 2 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Brooklyn |\n| Anthony Bennett | 2 | 0 | 1 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Brooklyn |\n| Yogi Ferrell | 8 | 0 | 1 | 0 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Brooklyn |\n| Luis Scola | 12 | 0 | 4 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 3 | 0 | 2 | 2 | 0 | N/A | Brooklyn |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Isaiah Thomas | 32 | 23 | 1 | 5 | 8-21 | 38% | 5-9 | 56% | 2-2 | 100% | 0 | 2 | 1 | 0 | 1 | 1 | G | Boston |\n| Avery Bradley | 34 | 22 | 7 | 1 | 10-22 | 46% | 1-7 | 14% | 1-2 | 50% | 5 | 2 | 0 | 1 | 6 | 3 | G | Boston |\n| Al Horford | 30 | 17 | 5 | 8 | 7-12 | 58% | 3-4 | 75% | 0-0 | 0% | 1 | 2 | 2 | 1 | 4 | 2 | C | Boston |\n| Jae Crowder | 22 | 15 | 5 | 1 | 6-11 | 55% | 3-7 | 43% | 0-1 | 0% | 0 | 0 | 0 | 1 | 4 | 2 | F | Boston |\n| Kelly Olynyk | 19 | 10 | 2 | 1 | 3-9 | 33% | 2-5 | 40% | 2-2 | 100% | 2 | 1 | 0 | 1 | 1 | 4 | N/A | Boston |\n| Jonas Jerebko | 17 | 10 | 1 | 0 | 4-4 | 100% | 1-1 | 100% | 1-1 | 100% | 1 | 1 | 0 | 1 | 0 | 2 | N/A | Boston |\n| Terry Rozier | 23 | 6 | 6 | 1 | 3-4 | 75% | 0-1 | 0% | 0-0 | 0% | 2 | 1 | 0 | 1 | 5 | 2 | N/A | Boston |\n| Marcus Smart | 31 | 4 | 8 | 8 | 2-10 | 20% | 0-4 | 0% | 0-0 | 0% | 2 | 1 | 1 | 2 | 6 | 2 | N/A | Boston |\n| Amir Johnson | 19 | 2 | 9 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 2 | 7 | 2 | F | Boston |\n| Tyler Zeller | 8 | 2 | 4 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 2 | 1 | 3 | 1 | N/A | Boston |\n| Jaylen Brown | 4 | 0 | 3 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 2 | 1 | N/A | Boston |\n| James Young | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Boston |\n| Gerald Green | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |" + }, + { + "from": "human", + "value": "Based on the shown data statistics of an NBA game on 2016-11-23, give me a detailed summary for this game." + }, + { + "from": "gpt", + "value": "Isaiah Thomas and Avery Bradley combined for 45 points on 43 shot attempts for the Celtics, a tally that included a 5-of-9 effort for Thomas from beyond the arc. Six Boston players managed double-digit scoring overall, while the defense held the Nets to sub-40 percent success rates from both the field and three-point range. Al Horford posted a full line of 17 points, eight assists, five boards two blocks and a steal, while Jae Crowder managed 15 points. The bench was led by a pair of 10-point efforts from Kelly Olynyk and Jonas Jerebko. Sean Kilpatrick 's 23 points over 32 minutes off the bench led the Nets. Trevor Booker 's 18-point, 12-rebound double-double paced the first unit. Bojan Bogdanovic and Brook Lopez combined for 27 points, Joe Harris also had 12 points in a reserve role." + } + ] + }, + { + "id": "table_instructV_multi_round_25793", + "image": "table_instructV/images/TabFact_2-10812938-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| pick | cfl team | player | position | college |\n| --- | --- | --- | --- | --- |\n| 1 | edmonton eskimos (via hamilton ) | adam braidwood | de | washington state |\n| 2 | bc lions (via winnipeg ) | jay pottinger | lb | mcmaster |\n| 3 | saskatchewan roughriders | andrew fantuz | sb | western ontario |\n| 4 | bc lions (via calgary ) | ricky foley | lb | york |\n| 5 | toronto argonauts | daniel federkeil | dl | calgary |\n| 6 | bc lions | dean valli | ol | simon fraser |\n| 7 | montreal alouettes | eric deslauriers | wr | eastern michigan |\n| 8 | hamilton tiger - cats (via edmonton) | cedric gagne - marcoux | ol | central florida |" + }, + { + "from": "human", + "value": "Based on the table image about '2006 cfl draft' and the subsequent hypothesis, determine if the table entails or refutes the subsequent hypothesis. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nhypothesis: three draft picks have the position of linebacker" + }, + { + "from": "gpt", + "value": "Based on the table, the hypothesis can not hold true. Thus, the final answer is {\"answer\": \"refutes\"}." + }, + { + "from": "human", + "value": "This is a table image titled '2006 cfl draft', help me determine if the table supports or opposes the following claim. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\ntwo of the bottom half of picks were offensive linemen positions" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it supports the claim. Hence, the answer is {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "Examine whether the table affirms or contradicts the subsequent claim. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\ntable title: '2006 cfl draft'\nclaim: two draft picks have the position of linebacker" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it affirms the claim. So, the answer is {\"answer\": \"affirms\"}." + }, + { + "from": "human", + "value": "Examine whether the subsequent hypothesis is substantiated or disputed by the given table titled '2006 cfl draft'. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nthe number one draft pick came from a college in eastern michigan" + }, + { + "from": "gpt", + "value": "By using the table as supporting evidence, it is evident that the hypothesis is incorrect. Consequently, the answer is {\"answer\": \"disputed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_25883", + "image": "table_instructV/images/TABMWP_33710.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Number of fish bowls | Number of fish |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | ? |" + }, + { + "from": "human", + "value": "Please solve the problem based on the given image. Finally, your final answer should be in the JSON format of {\"answer\": \"\"}.\nProblem: Each fish bowl has 10 fish. How many fish are in 4 fish bowls?\nYour Solution:" + }, + { + "from": "gpt", + "value": "Count by tens. Use the chart: there are 40 fish in 4 fish bowls.\n\nSo, the answer is {\"answer\": \"40\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_25923", + "image": "table_instructV/images/TabFact_2-10750694-8.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| home team | home team score | away team | away team score | venue | crowd | date |\n| --- | --- | --- | --- | --- | --- | --- |\n| richmond | 5.6 (36) | collingwood | 10.12 (72) | scg | 24174 | 14 june 1952 |\n| fitzroy | 13.12 (90) | melbourne | 10.10 (70) | north hobart oval | 18387 | 14 june 1952 |\n| south melbourne | 18.10 (118) | north melbourne | 14.12 (96) | albury sports ground | 15000 | 14 june 1952 |\n| footscray | 5.4 (34) | st kilda | 7.7 (49) | yallourn oval | 3500 | 14 june 1952 |\n| carlton | 17.15 (117) | hawthorn | 11.14 (80) | euroa oval | 7500 | 14 june 1952 |\n| geelong | 12.14 (86) | essendon | 23.17 (155) | brisbane exhibition ground | 28000 | 16 june 1952 |" + }, + { + "from": "human", + "value": "According to the information in the given table regarding '1952 vfl season', tell me whether the sentence is affirmed or disputed by the table. Output the final answer as JSON in the format {\"answer\": \"\"}.\nst kilda scored the highest amount of points of all of the away players" + }, + { + "from": "gpt", + "value": "By using the table as supporting evidence, it is evident that the sentence is incorrect. Consequently, the answer is {\"answer\": \"disputed\"}." + }, + { + "from": "human", + "value": "According to the information in the given table regarding '1952 vfl season', tell me whether the statement is supported or opposed by the table. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nthe home team named footscray had the lowest recorded crowd total" + }, + { + "from": "gpt", + "value": "Based on the table information, the statement is true. Thus, the answer is {\"answer\": \"supported\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title '1952 vfl season', and determine whether the table confirms or disputes the given claim. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nclaim: essendon scored the lowest amount of points of all of the away players" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the claim is false. Consequently, the answer is {\"answer\": \"disputes\"}." + }, + { + "from": "human", + "value": "Presented with a table with the title '1952 vfl season', distinguish whether the table upholds or challenges the following statement. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nstatement: st kilda scored the lowest amount of points of all of the away players" + }, + { + "from": "gpt", + "value": "Based on the table, the statement holds true. Thus, the final answer is {\"answer\": \"upholds\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_26036", + "image": "table_instructV/images/TABMWP_29669.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 8 | 0 |\n| 9 | 3 |\n| 10 | 7 |" + }, + { + "from": "human", + "value": "Based on the table, solve the following math problem step by step. Present the final answer in a JSON format, outlined as {\"answer\": \"\"}.\nThe table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear" + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{3 - 0}{9 - 8}\n = \\frac{3}{1}\n = 3\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the first row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{7 - 0}{10 - 8}\n = \\frac{7}{2}\n = 3\\frac{1}{2}\nThe rate of change is not the same for each pair of points. So, the function does not have a constant rate of change.\nThe function is nonlinear.\n\nTherefore, the final answer is {\"answer\": \"nonlinear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_26065", + "image": "table_instructV/images/Rotowire_train_table_1963.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nuggets | Denver | 91 | 22 | 12 | 27 | 30 | 20 | 45 | 21 | 41 | 71 | 50 | 10 | 14 | | | | |\n| Spurs | San Antonio | 99 | 20 | 25 | 26 | 28 | 26 | 43 | 13 | 46 | 74 | 31 | 17 | 7 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Nuggets | | | | | | | | | | | | | | | | | | |\n| Arron Afflalo | 40 | 31 | 5 | 1 | 12-20 | 60% | 4-6 | 67% | 3-3 | 100% | 0 | 6 | 0 | 1 | 4 | 4 | G | Denver |\n| Wilson Chandler | 36 | 14 | 3 | 3 | 6-10 | 60% | 2-2 | 100% | 0-0 | 0% | 1 | 1 | 0 | 1 | 2 | 5 | F | Denver |\n| Timofey Mozgov | 24 | 11 | 13 | 0 | 4-12 | 33% | 0-0 | 0% | 3-4 | 75% | 0 | 0 | 2 | 5 | 8 | 0 | C | Denver |\n| Jusuf Nurkic | 18 | 10 | 8 | 1 | 3-7 | 43% | 0-0 | 0% | 4-5 | 80% | 1 | 3 | 1 | 3 | 5 | 4 | N/A | Denver |\n| Darrell Arthur | 21 | 8 | 4 | 1 | 3-7 | 43% | 2-2 | 100% | 0-0 | 0% | 3 | 0 | 0 | 0 | 4 | 3 | N/A | Denver |\n| Ty Lawson | 39 | 6 | 2 | 10 | 2-10 | 20% | 0-1 | 0% | 2-4 | 50% | 1 | 4 | 0 | 0 | 2 | 3 | G | Denver |\n| Alonzo Gee | 17 | 5 | 2 | 1 | 2-6 | 33% | 0-0 | 0% | 1-2 | 50% | 1 | 3 | 0 | 2 | 0 | 5 | N/A | Denver |\n| JJ Hickson | 16 | 4 | 6 | 0 | 1-2 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 1 | 2 | 4 | 1 | F | Denver |\n| Nate Robinson | 15 | 2 | 2 | 2 | 1-7 | 14% | 0-4 | 0% | 0-1 | 0% | 0 | 1 | 0 | 1 | 1 | 3 | N/A | Denver |\n| Gary Harris | 14 | 0 | 0 | 1 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 3 | 2 | 0 | 0 | 0 | 1 | N/A | Denver |\n| Danilo Gallinari | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Erick Green | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Kenneth Faried | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Kawhi Leonard | 37 | 18 | 8 | 4 | 6-14 | 43% | 0-2 | 0% | 6-6 | 100% | 5 | 1 | 6 | 2 | 6 | 3 | F | San Antonio |\n| Tim Duncan | 32 | 15 | 9 | 4 | 5-14 | 36% | 0-0 | 0% | 5-6 | 83% | 1 | 2 | 3 | 3 | 6 | 2 | F | San Antonio |\n| Manu Ginobili | 24 | 15 | 1 | 6 | 4-9 | 44% | 1-3 | 33% | 6-7 | 86% | 0 | 4 | 0 | 1 | 0 | 3 | N/A | San Antonio |\n| Cory Joseph | 32 | 13 | 2 | 3 | 6-7 | 86% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 1 | 1 | 1 | 3 | G | San Antonio |\n| Tiago Splitter | 20 | 11 | 6 | 3 | 5-7 | 71% | 0-0 | 0% | 1-4 | 25% | 0 | 1 | 1 | 2 | 4 | 2 | C | San Antonio |\n| Marco Belinelli | 22 | 10 | 4 | 0 | 2-6 | 33% | 1-2 | 50% | 5-8 | 63% | 0 | 0 | 0 | 1 | 3 | 1 | N/A | San Antonio |\n| Aron Baynes | 8 | 6 | 2 | 0 | 3-4 | 75% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | San Antonio |\n| Danny Green | 35 | 5 | 6 | 3 | 2-7 | 29% | 1-4 | 25% | 0-0 | 0% | 2 | 2 | 0 | 0 | 6 | 2 | G | San Antonio |\n| Boris Diaw | 15 | 3 | 4 | 2 | 0-2 | 0% | 0-2 | 0% | 3-4 | 75% | 1 | 2 | 0 | 1 | 3 | 0 | N/A | San Antonio |\n| Matt Bonner | 13 | 3 | 1 | 1 | 1-3 | 33% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 3 | N/A | San Antonio |\n| Austin Daye | 1 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | San Antonio |\n| Kyle Anderson | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | San Antonio |\n| Jeff Ayres | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |" + }, + { + "from": "human", + "value": "Based on this table picture, can you identify any merged cells and give their coordinates in the JSON format {'top-left':(A, B), 'bottom-right':(C, D)}, where (A, B) and (C, D) correspond to the top-left and bottom-right (row_id, column_id) of the merged area? The row_id and column_id should start from 1 rather than 0." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "Taking into account the statistical tables from the NBA match between Nuggets and Spurs on 14th December, 2014, how would you describe the game in a comprehensive summary that highlights its significant events and outcomes?" + }, + { + "from": "gpt", + "value": "The San Antonio Spurs (17-7) defeated the Denver Nuggets (10-14) 99-91 on Sunday. San Antonio has lost two of their last four games, with both recent losses coming against non-playoff teams, the Utah Jazz and Los Angeles Lakers. Sunday 's win over the Nuggets was accomplished with Tony Parker sitting out with a lingering hamstring issue that has caused him to miss four of the last five games. Kawhi Leonard (hand) returned from a two-game absence to record a team-high 18 points in 37 minutes. The Spurs forced the Nuggets into 21 turnovers that resulted in 30 easy points for the Spurs, using the Nuggets' inability to protect the ball to gain an advantage. San Antonio will conclude their two-game road trip against the Portland Trail Blazers on Monday. Denver has lost six of their last seven games. While they are traversing a rather difficult part of their schedule, the Nuggets' regression over the last two weeks seems more of a regression to the mean than merely a poor stretch. Kenneth Faried sat out the game with an ankle injury, and the team continues to ride the hot hand from game to game, showing little faith in most of their players to account for a poor start and make adjustments. Coach Brian Shaw tends to yank anyone he deems to be underperforming in favor of throwing his bench players into the fray in wild attempts to find an elixir for their problems within a given game. Arron Afflalo scored a game-high 31 points to keep them in Sunday 's game, but Afflalo also committed six of the turnovers that proved to be their undoing. The Nuggets will host the Houston Rockets on Wednesday." + } + ] + }, + { + "id": "table_instructV_multi_round_26085", + "image": "table_instructV/images/ToTTo_train_table_28096.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Category | Player(s) | Value |\n| --- | --- | --- |\n| Passing Yards | Tommy Kramer | 3,912 |\n| Passing Touchdowns | Tommy Kramer | 26 |\n| Rushing Yards | Ted Brown | 1,063 |\n| Rushing Touchdowns | Ted Brown | 6 |\n| Receiving Yards | Joe Senser | 1,004 |\n| Receiving Touchdowns | Joe Senser | 8 |\n| Points | Rick Danmeier | 97 |\n| Kickoff Return Yards | Eddie Payton | 898 |\n| Punt Return Yards | Eddie Payton | 303 |\n| Tackles | Scott Studwell | 230 |\n| Interceptions | Tom Hannon Willie Teal | 4 |" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table and its metadata. You are required to generate a one-sentence description of highlighted table cells. \nTable title: 1981 Minnesota Vikings season\nSection title: Team leaders\nSection text: Vikings single season record although tackles were not official until 2001." + }, + { + "from": "gpt", + "value": "In the 1981 Minnesota Vikings season, Tommy Kramer made 3,912 yards and 26 touchdowns." + } + ] + }, + { + "id": "table_instructV_multi_round_26172", + "image": "table_instructV/images/TAT-QA_679c383d-e7b5-4bfb-bd89-8677eb47ffa6.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| | December 31, | |\n| --- | --- | --- |\n| (In millions) | 2019 | 2018 |\n| Balance at beginning of period(1) | $ 150.1 | $ 71.5 |\n| Gains (losses) on assets still held at end of year | 16.8 | (16.0) |\n| Purchases, sales, issuance, and settlements(2) | 8.3 | 103.7 |\n| Transfers in and/or out of Level 3 | — | 1.0 |\n| Foreign exchange gain (loss) | 5.0 | (10.1) |\n| Balance at end of period(1) | $ 180.2 | $ 150.1 |" + }, + { + "from": "human", + "value": "Look at this table. Give your well-considered answer to the subsequent question. Provide a concluding answer in a JSON structure, using the format {\"answer\": []} such as {\"answer\": [\"20\", \"apple\"]}.\nWhat is the Balance at beginning of period expressed as a percentage of Balance at end of period for year 2019?" + }, + { + "from": "gpt", + "value": "According to this table, we have the following calculations: 150.1/180.2 = 83.3.\nThus, the answer is {\"answer\": [\"83.3\"]}." + }, + { + "from": "human", + "value": "Please consult the table and use it to respond to the question below. Output the final answer as JSON in the format {\"answer\": []}.\nWhat is the difference between the Balance at end of period for 2018 and 2019?" + }, + { + "from": "gpt", + "value": "Using the number listed in the table, we have the following computations: 180.2-150.1 = 30.1\n\nAs a result, the final answer is {\"answer\": [\"30.1\"]}." + }, + { + "from": "human", + "value": "Looking at the table picture, what is the concise answer to the question posed below? Conclude your response with a final answer in the JSON format {\"answer\": []}.\nWhat years are included in the table?" + }, + { + "from": "gpt", + "value": "Based on the table information, the answer is {\"answer\": [\"2019\", \"2018\"]}." + }, + { + "from": "human", + "value": "Look at the table, and use the information to answer the question. Present the final answer in a JSON format {\"answer\": []}.\nWhat is percentage growth of Balance at end of period for year 2018 to 2019?" + }, + { + "from": "gpt", + "value": "To answer the given question, we need to conduct the following computations:\n(180.2-150.1)/150.1 = 20.05\nTherefore, the final answer is {\"answer\": [\"20.05\"]}." + } + ] + }, + { + "id": "table_instructV_multi_round_26199", + "image": "table_instructV/images/TABMWP_12528.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 13 | 0 |\n| 14 | 10 |\n| 15 | 20 |" + }, + { + "from": "human", + "value": "Solve this math word problem based on the given table image. Finally, your final answer should be in the JSON format of {\"answer\": \"\"}.\nThe table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear" + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{10 - 0}{14 - 13}\n = \\frac{10}{1}\n = 10\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the first row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{20 - 0}{15 - 13}\n = \\frac{20}{2}\n = 10\nThe two rates of change are the same.\nIf you checked the rate of change between rows 2 and 3, you would find that it is also 10.\nThis means the rate of change is the same for each pair of points. So, the function has a constant rate of change.\nThe function is linear.\n\nSo, the answer is {\"answer\": \"linear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_26402", + "image": "table_instructV/images/TABMWP_1692.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | Organic | Non-organic |\n| --- | --- | --- |\n| Apples | 3 | 4 |\n| Peaches | 5 | 3 |" + }, + { + "from": "human", + "value": "Starting with the provided table, detail your process in solving this problem. At the end of your output, present the final answer as JSON in the format {\"answer\": \"\"}. \nShannon conducted a blind taste test on some of her friends in order to determine if organic fruits tasted different than non-organic fruits. Each friend ate one type of fruit. What is the probability that a randomly selected friend tasted apples and preferred non-organic? Simplify any fractions." + }, + { + "from": "gpt", + "value": "Let A be the event \"the friend tasted apples\" and B be the event \"the friend preferred non-organic\".\nTo find the probability that a friend tasted apples and preferred non-organic, first identify the sample space and the event.\nThe outcomes in the sample space are the different friends. Each friend is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the friend tasted apples and preferred non-organic\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the friend tasted apples and preferred non-organic\", so look at the table to see how many friends tasted apples and preferred non-organic.\nThe number of friends who tasted apples and preferred non-organic is 4.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of friends.\n3 + 5 + 4 + 3 = 15\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{4}{15}\nThe probability that a friend tasted apples and preferred non-organic is \\frac{4}{15}.\n\nThus, the final answer is {\"answer\": \"4/15\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_26585", + "image": "table_instructV/images/TABMWP_38124.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Number of drawers | Number of pens |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | ? |" + }, + { + "from": "human", + "value": "Show the detailed solution to answer the following question. Format the ultimate answer as a JSON, using the structure {\"answer\": \"\"}.\nQuestion: Each drawer has 5 pens. How many pens are in 4 drawers? (Unit: pens)" + }, + { + "from": "gpt", + "value": "Count by fives. Use the chart: there are 20 pens in 4 drawers.\n\nSo, the answer is {\"answer\": \"20\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_26604", + "image": "table_instructV/images/TAT-QA_22f7b8e6-f450-49ed-9063-d0699c80e3b6.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | | Years Ended December 31, | |\n| --- | --- | --- | --- |\n| | 2019 | 2018 | 2017 |\n| | | (in thousands) | |\n| Revenue: | | | |\n| Royalty and license fees | $81,943 | $186,425 | $205,809 |\n| Total revenue | 81,943 | 186,425 | 205,809 |\n| Operating expenses: | | | |\n| Research, development and other related costs | 28,732 | 27,514 | 30,039 |\n| Litigation | 3,471 | 26,099 | 36,209 |\n| Amortization | 11,871 | 19,906 | 21,590 |\n| Total operating expenses (1) | 44,074 | 73,519 | 87,838 |\n| Total operating income | $37,869 | $112,906 | $117,971 |" + }, + { + "from": "human", + "value": "Answer the question based on this table. In addition, output the final answer as JSON in the format {\"answer\": []}.\nQuestion: What is the percentage of research, development, and other related costs as well as litigation expenses over total operating expenses in 2018?\nAnswer: " + }, + { + "from": "gpt", + "value": "Based on the table, we need to conduct the following computations:\n(27514+26099)/73519 = 72.92\nTherefore, the final answer: {\"answer\": [\"72.92\"]}." + }, + { + "from": "human", + "value": "Examine the table image and answer the ensuing question in brief. Present the final answer in a JSON format {\"answer\": []}.\nWhat was the total operating expense in 2017 and 2018, respectively?" + }, + { + "from": "gpt", + "value": "Based on the table information, the answer is {\"answer\": [\"73,519\", \"44,074\"]}." + }, + { + "from": "human", + "value": "Answer the following question based on this table. In the end, output your final answer using the JSON: {\"answer\": []}.\nWhat is the average revenue that the company received in the last three years, i.e. from 2017 to 2019?" + }, + { + "from": "gpt", + "value": "Based on the given table:\n(81943+186425+205809)/3 = 158059\nTherefore, the answer is {\"answer\": [\"158059\"]}." + }, + { + "from": "human", + "value": "Consult the table picture and reply to the ensuing question. The final result should be presented in the JSON format of {\"answer\": []} like {\"answer\": [\"emotional abuse\", \"July\"]}.\nWhich year did the Semiconductor and IP Licensing segment have the highest total operating income?" + }, + { + "from": "gpt", + "value": "Based on the information in the table, 117,971>112,906>37,869. Therefore, the answer is {\"answer\": [\"2017\"]}." + }, + { + "from": "human", + "value": "In tables, merged cells are often found and we can denote them as JSON {'top-left':(x, y), 'bottom-right':(m, n)}, with '(x, y)' and '(m, n)' indicating the (row_id, column_id) of the top-left and bottom-right cells of the merged region. Please scan the table image provided, find all occurrences of merged cells, and return their coordinates in the stated format. It's important to remember that row and column IDs begin from 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + } + ] + }, + { + "id": "table_instructV_multi_round_26729", + "image": "table_instructV/images/Rotowire_train_table_383.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bucks | Milwaukee | 85 | 15 | 26 | 28 | 16 | 18 | 51 | 16 | 41 | 67 | 20 | 4 | 4 | | | | |\n| Thunder | Oklahoma City | 78 | 22 | 16 | 26 | 14 | 15 | 46 | 15 | 33 | 74 | 30 | 2 | 6 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Bucks | | | | | | | | | | | | | | | | | | |\n| O.J. Mayo | 29 | 19 | 4 | 1 | 6-15 | 40% | 2-7 | 29% | 5-7 | 71% | 0 | 0 | 0 | 1 | 3 | 2 | N/A | Milwaukee |\n| Brandon Knight | 34 | 16 | 4 | 4 | 6-15 | 40% | 1-5 | 20% | 3-4 | 75% | 1 | 6 | 0 | 0 | 4 | 2 | G | Milwaukee |\n| Giannis Antetokounmpo | 26 | 14 | 9 | 1 | 6-13 | 46% | 0-0 | 0% | 2-4 | 50% | 0 | 1 | 2 | 2 | 7 | 2 | N/A | Milwaukee |\n| Zaza Pachulia | 22 | 8 | 10 | 4 | 3-7 | 43% | 0-0 | 0% | 2-2 | 100% | 2 | 2 | 1 | 4 | 6 | 4 | N/A | Milwaukee |\n| Nate Wolters | 18 | 6 | 2 | 1 | 3-7 | 43% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 0 | N/A | Milwaukee |\n| Jerryd Bayless | 21 | 6 | 4 | 0 | 2-3 | 67% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 0 | 0 | 4 | 1 | N/A | Milwaukee |\n| Jabari Parker | 21 | 6 | 4 | 3 | 3-7 | 43% | 0-0 | 0% | 0-1 | 0% | 0 | 1 | 0 | 2 | 2 | 1 | F | Milwaukee |\n| Larry Sanders | 22 | 4 | 6 | 1 | 2-6 | 33% | 0-0 | 0% | 0-2 | 0% | 0 | 3 | 1 | 3 | 3 | 5 | C | Milwaukee |\n| Jared Dudley | 19 | 4 | 2 | 2 | 2-6 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 0 | G | Milwaukee |\n| Ersan Ilyasova | 23 | 2 | 5 | 1 | 0-2 | 0% | 0-1 | 0% | 2-2 | 100% | 1 | 1 | 0 | 1 | 4 | 4 | F | Milwaukee |\n| John Henson | 5 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 2 | 0 | 1 | 1 | N/A | Milwaukee |\n| Kendall Marshall | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Khris Middleton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Reggie Jackson | 43 | 29 | 4 | 4 | 12-21 | 57% | 2-6 | 33% | 3-3 | 100% | 2 | 3 | 1 | 0 | 4 | 3 | G | Oklahoma City |\n| Serge Ibaka | 35 | 14 | 7 | 2 | 4-13 | 31% | 2-5 | 40% | 4-4 | 100% | 0 | 3 | 1 | 1 | 6 | 4 | F | Oklahoma City |\n| Anthony Morrow | 14 | 10 | 0 | 0 | 4-7 | 57% | 1-1 | 100% | 1-2 | 50% | 0 | 1 | 0 | 0 | 0 | 3 | N/A | Oklahoma City |\n| Kendrick Perkins | 21 | 7 | 9 | 2 | 3-4 | 75% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 2 | 2 | 7 | 2 | N/A | Oklahoma City |\n| Jeremy Lamb | 34 | 6 | 8 | 3 | 2-13 | 15% | 0-2 | 0% | 2-2 | 100% | 2 | 3 | 0 | 2 | 6 | 3 | G | Oklahoma City |\n| Lance Thomas | 27 | 5 | 3 | 0 | 2-10 | 20% | 0-0 | 0% | 1-2 | 50% | 1 | 2 | 0 | 2 | 1 | 1 | F | Oklahoma City |\n| Ish Smith | 9 | 3 | 4 | 0 | 1-6 | 17% | 1-3 | 33% | 0-0 | 0% | 1 | 1 | 0 | 2 | 2 | 1 | N/A | Oklahoma City |\n| Steven Adams | 25 | 2 | 10 | 0 | 0-4 | 0% | 0-0 | 0% | 2-4 | 50% | 0 | 1 | 1 | 4 | 6 | 2 | C | Oklahoma City |\n| Sebastian Telfair | 16 | 2 | 1 | 1 | 1-6 | 17% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Oklahoma City |\n| Nick Collison | 15 | 0 | 0 | 3 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Oklahoma City |\n| Andre Roberson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Perry Jones III | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Russell Westbrook | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |" + }, + { + "from": "human", + "value": "Write a match report for the NBA game on 11th November, 2014 between Bucks and Thunder. Use the given statistics in the image as your reference." + }, + { + "from": "gpt", + "value": "The Milwaukee Bucks (4-4) got their record up to .500 by beating the Oklahoma City Thunder (2-6) 85-78 on Tuesday night at the BMO Harris Bradley Center. The Thunder just ca n't seem to get the ball rolling right now, but it 's understandable since they 're currently without two of the best players in the NBA in Kevin Durant and Russell Westbrook. Reggie Jackson and Serge Ibaka did everything they could, with Jackson scoring 29 points (12-21 FG, 2-6 3Pt, 3-3 FT), to go along with four rebounds, four assists, two steals and one block, and Ibaka posting 14 points (4-13 FG, 2-5 3Pt, 4-4 FT), with seven rebounds, two assists and one block. In the end though, the Bucks just had more bench proudction which allowed the Bucks to stop the Thunder from stealing a road win. Oklahoma City now heads to Boston to take on the Celtics on Wednesday. The Bucks may have only had one player score in double figures from their starting lineup in Brandon Knight, who scored 16 points (6-15 FG, 1-5 3Pt, 3-5 FT), with four assists, four rebounds and one steal, but the bench picked up the slack. Milwaukee had 53 bench points in this game, and were led by 19 points (6-15 FG, 2-7 3Pt, 5-7 FT) and four rebounds from O.J. Mayo. Giannis Antetokounmpo also had a big night, nearly posting a double-double, with 14 points (6-13 FG, 2-4 FT), and nine rebounds. The Bucks will look to get above .500 on Friday night when they head on the road to Orlando to play the Magic." + } + ] + }, + { + "id": "table_instructV_multi_round_26758", + "image": "table_instructV/images/TABMWP_10554.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Date | Description | Received | Expenses | Available Funds |\n| --- | --- | --- | --- | --- |\n| | Balance: end of March | | | $461.80 |\n| 4/7 | bag of jellybeans | | $4.15 | $457.65 |\n| 4/14 | helping Mr. Kramer | $20.00 | | $477.65 |\n| 4/23 | umbrella | | $12.65 | $465.00 |" + }, + { + "from": "human", + "value": "Check out the table image. Provide a detail solution to this problem. Output the final answer as JSON in the format {\"answer\": \"\"}.\n\nProblem: This is Kira's complete financial record for April. How much money did Kira spend on a bag of jellybeans? (Unit: $)\n\nSolution:" + }, + { + "from": "gpt", + "value": "Look at the bag of jellybeans row. The expenses were $4.15. So, Kira spent $4.15 on a bag of jellybeans.\n\n\nSo, the answer is {\"answer\": \"4.15\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_26899", + "image": "table_instructV/images/Rotowire_train_table_3278.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Celtics | Boston | 95 | 25 | 23 | 28 | 19 | 20 | 45 | 15 | 44 | 86 | 26 | 0 | 3 | | | | |\n| Cavaliers | Cleveland | 103 | 31 | 25 | 28 | 19 | 17 | 45 | 11 | 45 | 63 | 41 | 3 | 0 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Evan Turner | 33 | 19 | 8 | 8 | 8-15 | 53% | 1-1 | 100% | 2-2 | 100% | 2 | 4 | 0 | 0 | 8 | 4 | F | Boston |\n| Avery Bradley | 33 | 18 | 4 | 0 | 7-18 | 39% | 1-6 | 17% | 3-3 | 100% | 1 | 1 | 0 | 1 | 3 | 2 | G | Boston |\n| Jae Crowder | 31 | 16 | 7 | 4 | 5-6 | 83% | 2-3 | 67% | 4-5 | 80% | 2 | 4 | 2 | 2 | 5 | 5 | N/A | Boston |\n| Jared Sullinger | 17 | 10 | 8 | 0 | 4-6 | 67% | 0-1 | 0% | 2-2 | 100% | 0 | 2 | 1 | 2 | 6 | 3 | N/A | Boston |\n| Tyler Zeller | 28 | 9 | 6 | 0 | 3-9 | 33% | 0-0 | 0% | 3-3 | 100% | 0 | 0 | 0 | 0 | 6 | 1 | C | Boston |\n| Marcus Smart | 18 | 8 | 2 | 1 | 2-6 | 33% | 1-3 | 33% | 3-4 | 75% | 0 | 1 | 0 | 1 | 1 | 2 | G | Boston |\n| Isaiah Thomas | 21 | 5 | 1 | 2 | 2-9 | 22% | 0-3 | 0% | 1-2 | 50% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Boston |\n| Jonas Jerebko | 25 | 4 | 7 | 0 | 2-7 | 29% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 1 | 3 | 4 | 2 | N/A | Boston |\n| Brandon Bass | 22 | 4 | 2 | 3 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 2 | 0 | F | Boston |\n| Gigi Datome | 9 | 2 | 0 | 1 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Boston |\n| Kelly Olynyk | 3 | 0 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Boston |\n| Phil Pressey | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Gerald Wallace | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Cavaliers | | | | | | | | | | | | | | | | | | |\n| LeBron James | 42 | 31 | 11 | 4 | 13-26 | 50% | 1-5 | 20% | 4-5 | 80% | 4 | 2 | 2 | 1 | 10 | 1 | F | Cleveland |\n| Kevin Love | 37 | 23 | 9 | 3 | 8-16 | 50% | 6-10 | 60% | 1-4 | 25% | 0 | 1 | 0 | 2 | 7 | 3 | F | Cleveland |\n| JR Smith | 38 | 15 | 5 | 2 | 6-12 | 50% | 3-8 | 38% | 0-0 | 0% | 2 | 0 | 0 | 2 | 3 | 3 | G | Cleveland |\n| Kyrie Irving | 40 | 13 | 1 | 6 | 3-11 | 27% | 2-3 | 67% | 5-6 | 83% | 2 | 2 | 1 | 0 | 1 | 2 | G | Cleveland |\n| Tristan Thompson | 28 | 12 | 7 | 0 | 4-7 | 57% | 0-0 | 0% | 4-8 | 50% | 0 | 1 | 2 | 5 | 2 | 5 | N/A | Cleveland |\n| Timofey Mozgov | 19 | 5 | 6 | 0 | 2-4 | 50% | 0-0 | 0% | 1-1 | 100% | 0 | 4 | 1 | 1 | 5 | 1 | C | Cleveland |\n| Iman Shumpert | 21 | 4 | 1 | 1 | 2-4 | 50% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 1 | 0 | 1 | 1 | N/A | Cleveland |\n| Matthew Dellavedova | 10 | 0 | 3 | 1 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 1 | N/A | Cleveland |\n| James Jones | 4 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Cleveland |\n| Brendan Haywood | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Mike Miller | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Shawn Marion | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |\n| Kendrick Perkins | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Cleveland |" + }, + { + "from": "human", + "value": "Based on the given table, what are the contents of the subsequent rows or columns?\ncolumn 2\nrow 6\n\nRequirements: Provide the cells in each row or column in the JSON structure, using the format {\"row_id/column_id\":\"\", \"cell_list\":\"\"}." + }, + { + "from": "gpt", + "value": "The extracted row or column contents are listed below.\nFor column 2: {\"column_id\": \"2\", \"cell_list\": ['CITY', 'Boston', 'Cleveland', '', 'MIN', '', '33', '33', '31', '17', '28', '18', '21', '25', '22', '9', '3', 'N/A', 'N/A', '', '42', '37', '38', '40', '28', '19', '21', '10', '4', 'N/A', 'N/A', 'N/A', 'N/A']}\nFor row 6: {\"row_id\": \"6\", \"cell_list\": ['Celtics', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '']}" + }, + { + "from": "human", + "value": "Based on the shown data statistics of an NBA game on 04/23/2015, give me a detailed summary for this game." + }, + { + "from": "gpt", + "value": "The Cleveland Cavaliers (30) defeated the Boston Celtics (0-3), 103-95, Thursday at the TD Garden to take a 30 lead in their series. Boston looked to change its fortunes in Game 3 on its home court after dropping the first two games of the series in Cleveland. The Celtics hung close throughout the game and when Evan Turner, who had his best game of the series, hit a three to cut the Cavaliers' lead to three with 2:45 remaining, it looked as though tide was turning in Boston 's favor. Cleveland extinguished that momentum almost immediately as Kevin Love drained a corner three on the next possession to put the Cavaliers back up by six. Love had his best game of the postseason with 23 points and nine rebounds, including two big-time three pointers in the fourth quarter. Boston will look to avoid the sweep on Sunday when it hosts Cleveland for Game 4. Cleveland not only had a big night from Kevin Love, but also a classic playoff performance from LeBron James. The superstar James finished with 31 points, 11 rebounds, four steals, and two blocks to lead the Cavaliers. One of the unsung heroes for Cleveland was reserve forward Tristan Thompson, who had 12 points and seven rebounds over 28 minutes off the bench. Thompson 's five offensive rebounds allowed Cleveland to retain possession at key moments down the stretch to let the Cavaliers to run out the clock. The Cavaliers will look to finish out the series Sunday in Boston. Boston 's ability to hang close with Cleveland was made all the more impressive by the fact that it 's best scorer, Isaiah Thomas, was a non-factor for most of the game. Thomas, who had scored 22 points in each of Boston 's first two games of the postseason, was held to just five points on 2-of-9 shooting. To offset Thomas' quiet night off the bench, Jae Crowder made a lot of noise in his 31 minutes on the floor. Crowder was all over the court, forcing jump balls, nabbing two steals, and blocking four shots to go with seven rebounds and 16 points. The Celtics will need a similar performance from Crowder in Game 4, as well as a bigger outing from Thomas, in order to extend the series on Sunday." + } + ] + }, + { + "id": "table_instructV_multi_round_26910", + "image": "table_instructV/images/TABMWP_2006.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| | Velvet | Suede |\n| --- | --- | --- |\n| Foam | 3 | 5 |\n| Beads | 5 | 5 |" + }, + { + "from": "human", + "value": "Answer the following question based on the table information. Let's think step by step. Present the final answer in a JSON format, outlined as {\"answer\": \"\"}.\nEddie and his brother are at a store shopping for a beanbag chair for their school's library. The store sells beanbag chairs with different fabrics and types of filling. What is the probability that a randomly selected beanbag chair is filled with foam and is made from velvet? Simplify any fractions." + }, + { + "from": "gpt", + "value": "Let A be the event \"the beanbag chair is filled with foam\" and B be the event \"the beanbag chair is made from velvet\".\nTo find the probability that a beanbag chair is filled with foam and is made from velvet, first identify the sample space and the event.\nThe outcomes in the sample space are the different beanbag chairs. Each beanbag chair is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the beanbag chair is filled with foam and is made from velvet\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the beanbag chair is filled with foam and is made from velvet\", so look at the table to see how many beanbag chairs are filled with foam and are made from velvet.\nThe number of beanbag chairs that are filled with foam and are made from velvet is 3.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of beanbag chairs.\n3 + 5 + 5 + 5 = 18\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{3}{18}\n = \\frac{1}{6}\nThe probability that a beanbag chair is filled with foam and is made from velvet is \\frac{1}{6}.\n\nThus, the final answer is {\"answer\": \"1/6\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_26915", + "image": "table_instructV/images/ToTTo_train_table_27535.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Year | Album | US Country | Label |\n| --- | --- | --- | --- |\n| 1984 | Building Bridges | 47 | Atlantic America |" + }, + { + "from": "human", + "value": "Analyzing this Wikipedia table titled 'Larry Willoughby'. It is extracted from a section titled 'Albums'.\nBased on the table information, craft a sentence that describes the highlighted cells." + }, + { + "from": "gpt", + "value": "Willoughby's album, Building Bridges, was released in 1984 by Atlantic America." + } + ] + }, + { + "id": "table_instructV_multi_round_26938", + "image": "table_instructV/images/TabFact_2-13827238-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| album | english title | chinese title | released | label |\n| --- | --- | --- | --- | --- |\n| 1st | 1986 | 1986 | 27 july 2001 | rock records |\n| 2nd | be used to | 習慣 | 27 october 2006 | rock records |\n| 3rd | oxygenie of happiness | 幸福氧氣 | 26 october 2007 | rock records |\n| 4th | my favorite kind of geniie | 超級喜歡 | 7 november 2008 | rock records |\n| 5th | just the way i am | 反正 卓文萱 | 4 november 2011 | rock records |" + }, + { + "from": "human", + "value": "Examine the table image with the title 'genie chuo', classify whether the hypothesis is upheld or disputed based on the table's content and title. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nhypothesis: album 超級喜歡 was released on november 4 , 2011" + }, + { + "from": "gpt", + "value": "According to the table, the hypothesis is disputed by the table information. Therefore, the final answer: {\"answer\": \"disputed\"}." + }, + { + "from": "human", + "value": "Table title: genie chuo\nstatement: oxygenie of happiness was released on october 26 , 2007\nPlease distinguish whether the above statement is supported or challenged by the table information. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}." + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the statement is valid. Hence, the answer is {\"answer\": \"supported\"}." + }, + { + "from": "human", + "value": "Examine the table with the given title 'genie chuo' and judge whether the hypothesis is confirmed or opposed based on the table's content. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nthe 1st album was released on 27 july 2001" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the hypothesis. Hence, the answer is {\"answer\": \"confirmed\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title 'genie chuo', and determine whether the table entails or opposes the given claim. Show your final answer in the JSON format {\"answer\": \"\"}.\nclaim: the album 1986 was released before july 27 , 2001" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table opposes the validity of the claim. Therefore, the final answer: {\"answer\": \"opposes\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_26949", + "image": "table_instructV/images/TABMWP_24451.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | Poetry | Student council |\n| --- | --- | --- |\n| Math | 4 | 1 |\n| Literature | 6 | 4 |" + }, + { + "from": "human", + "value": "Solve this problem according to the provided picture in a step-wise manner. Format the ultimate answer as a JSON, using the structure {\"answer\": \"\"}.\nTo get to know her students better, Ms. Williamson surveyed her math students to determine what hobbies and school subjects they prefer. What is the probability that a randomly selected student prefers math and enjoys poetry? Simplify any fractions." + }, + { + "from": "gpt", + "value": "Let A be the event \"the student prefers math\" and B be the event \"the student enjoys poetry\".\nTo find the probability that a student prefers math and enjoys poetry, first identify the sample space and the event.\nThe outcomes in the sample space are the different students. Each student is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the student prefers math and enjoys poetry\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the student prefers math and enjoys poetry\", so look at the table to see how many students prefer math and enjoy poetry.\nThe number of students who prefer math and enjoy poetry is 4.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of students.\n4 + 6 + 1 + 4 = 15\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{4}{15}\nThe probability that a student prefers math and enjoys poetry is \\frac{4}{15}.\n\nThus, the final answer is {\"answer\": \"4/15\"}." + }, + { + "from": "human", + "value": "Please read the table in this image and return an HTML-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "\n\n\n\n
Poetry Student council
Math 4 1
Literature 6 4
" + }, + { + "from": "human", + "value": "Provide me with the row number and column number for the table shown in this image. Present the final answer in a JSON format {\"row_number\": \"m\", \"column_number\": \"n\"} such as {\"row_number\": \"2\", \"column_number\": \"3\"}." + }, + { + "from": "gpt", + "value": "There are 3 rows and 3 columns in the table. So, the final answer is {\"row_number\": \"3\", \"column_number\": \"3\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_27175", + "image": "table_instructV/images/TabFact_2-11066073-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| pilot car no | colour | serial no | engine no | registration no |\n| --- | --- | --- | --- | --- |\n| 1 | gawler cream (body no six) | 8 - 1001 - m | 1001 | mg - 501 |\n| 2 | black | 8 - 1002 - m | 1002 | mg - 502 |\n| 3 | black | 8 - 1003 - m | 1003 | mg - 503 |\n| 4 | black | 8 - 1004 - m | 1004 | mg - 504 |\n| 5 | black | 8 - 1005 - m | 1005 | mg - 505 |\n| 6 | seine blue | 8 - 1006 - m | 1006 | mg - 506 |\n| 7 | convoy grey | 8 - 1007 - m | 1007 | mg - 507 |\n| 8 | black | 8 - 1008 - m | 1008 | mg - 508 |\n| 9 | black | 8 - 1009 - m | 1009 | mg - 509 |\n| 10 | black | 8 - 1010 - m | 1010 | mg - 510 |" + }, + { + "from": "human", + "value": "Examine the table image with the title 'none', classify whether the statement is substantiated or opposed based on the table's content and title. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nstatement: 8 - 1008 - m is the serial number of the black pilot car with a number less than 2 and an engine number of 1008" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the statement is false. So, the answer is {\"answer\": \"opposed\"}." + }, + { + "from": "human", + "value": "Give you a table picture about 'none', determine whether the following sentence is upheld or refuted by the table's content. Output the final answer as JSON in the format {\"answer\": \"\"}.\n\n8 - 1008 - m is the serial number of the black pilot car with a number larger than 2 and an engine number of 1008" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the sentence is valid. Hence, the answer is {\"answer\": \"upheld\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_27245", + "image": "table_instructV/images/TABMWP_27556.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $145 | 9,500 | 3,500 |\n| $275 | 7,800 | 6,400 |\n| $405 | 6,100 | 9,300 |\n| $535 | 4,400 | 12,200 |\n| $665 | 2,700 | 15,100 |" + }, + { + "from": "human", + "value": "Solve this math word problem based on the given table image. Conclude your response with a final answer in the JSON format {\"answer\": \"\"}.\nLook at the table. Then answer the question. At a price of $405, is there a shortage or a surplus? (A) shortage (B) surplus" + }, + { + "from": "gpt", + "value": "At the price of $405, the quantity demanded is less than the quantity supplied. There is too much of the good or service for sale at that price. So, there is a surplus.\n\n\nTherefore, the final answer is {\"answer\": \"surplus\"}." + }, + { + "from": "human", + "value": "Watch this table and show a latex-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|}\n\\hline\n Price & Quantity demanded & Quantity supplied \\\\\n\\hline\n \\$145 & 9,500 & 3,500 \\\\\n\\hline\n \\$275 & 7,800 & 6,400 \\\\\n\\hline\n \\$405 & 6,100 & 9,300 \\\\\n\\hline\n \\$535 & 4,400 & 12,200 \\\\\n\\hline\n \\$665 & 2,700 & 15,100 \\\\\n\\hline\n\\end{tabular}" + } + ] + }, + { + "id": "table_instructV_multi_round_27281", + "image": "table_instructV/images/ToTTo_train_table_10288.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Year | Title | Chinese title | Role | Notes |\n| --- | --- | --- | --- | --- |\n| 1999 | Zhanian Instrument | 《弹起我的扎年琴》 | Gesang | |\n| 2011 | Wuye Paimen | 《午夜拍门》 | Jin He | |\n| 2013 | Women Who Know How to Flirt Are the Luckiest | 《撒娇女人最好命》 | Jia Jia | |\n| 2014 | Zhong Kui: Snow Girl and the Dark Crystal | 《钟馗伏魔：雪妖魔灵》 | A Western beauty | |\n| 2017 | Soul on a String | 《皮绳上的魂》 | Qiong | |" + }, + { + "from": "human", + "value": "Consider the table titled 'Choenyi Tsering', with its section title 'Film'\nFormulate a sentence describing the highlighted cells' content." + }, + { + "from": "gpt", + "value": "Choenyi Tsering made her film debut in Zhanian Instrument (1999), playing Gesang." + } + ] + }, + { + "id": "table_instructV_multi_round_27351", + "image": "table_instructV/images/Rotowire_train_table_3159.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Timberwolves | Minnesota | 101 | 34 | 19 | 27 | 21 | 22 | 41 | 15 | 43 | 77 | 23 | 2 | 1 | | | | |\n| Trail Blazers | Portland | 106 | 21 | 32 | 30 | 23 | 18 | 46 | 16 | 46 | 75 | 30 | 2 | 2 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Kevin Martin | 35 | 24 | 2 | 1 | 7-12 | 58% | 2-4 | 50% | 8-11 | 73% | 0 | 3 | 0 | 0 | 2 | 3 | N/A | Minnesota |\n| Andrew Wiggins | 23 | 16 | 6 | 3 | 5-17 | 29% | 0-3 | 0% | 6-7 | 86% | 1 | 3 | 0 | 3 | 3 | 2 | G | Minnesota |\n| Gorgui Dieng | 21 | 12 | 5 | 1 | 6-9 | 67% | 0-0 | 0% | 0-1 | 0% | 0 | 0 | 0 | 1 | 4 | 2 | N/A | Minnesota |\n| Ricky Rubio | 32 | 12 | 9 | 9 | 4-10 | 40% | 0-2 | 0% | 4-4 | 100% | 3 | 1 | 0 | 0 | 9 | 4 | G | Minnesota |\n| Karl-Anthony Towns | 27 | 11 | 5 | 0 | 5-9 | 56% | 1-1 | 100% | 0-0 | 0% | 0 | 4 | 4 | 1 | 4 | 5 | C | Minnesota |\n| Zach LaVine | 16 | 10 | 0 | 5 | 3-7 | 43% | 0-1 | 0% | 4-4 | 100% | 0 | 2 | 0 | 0 | 0 | 1 | N/A | Minnesota |\n| Shabazz Muhammad | 17 | 9 | 4 | 0 | 2-5 | 40% | 0-0 | 0% | 5-6 | 83% | 1 | 0 | 0 | 0 | 4 | 1 | N/A | Minnesota |\n| Nemanja Bjelica | 31 | 5 | 9 | 2 | 2-4 | 50% | 0-2 | 0% | 1-2 | 50% | 2 | 2 | 0 | 3 | 6 | 4 | N/A | Minnesota |\n| Tayshaun Prince | 20 | 2 | 0 | 0 | 0-3 | 0% | 0-0 | 0% | 2-2 | 100% | 2 | 0 | 0 | 0 | 0 | 0 | F | Minnesota |\n| Kevin Garnett | 17 | 0 | 1 | 1 | 0-3 | 0% | 0-0 | 0% | 0-2 | 0% | 1 | 0 | 0 | 0 | 1 | 0 | F | Minnesota |\n| Adreian Payne | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Damjan Rudez | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Andre Miller | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Trail Blazers | | | | | | | | | | | | | | | | | | |\n| Damian Lillard | 38 | 34 | 2 | 7 | 14-25 | 56% | 4-9 | 44% | 2-3 | 67% | 2 | 2 | 1 | 1 | 1 | 4 | G | Portland |\n| CJ McCollum | 36 | 18 | 6 | 4 | 7-18 | 39% | 2-6 | 33% | 2-2 | 100% | 1 | 4 | 1 | 0 | 6 | 4 | G | Portland |\n| Al-Farouq Aminu | 32 | 17 | 9 | 1 | 7-12 | 58% | 2-5 | 40% | 1-2 | 50% | 0 | 0 | 1 | 3 | 6 | 5 | F | Portland |\n| Mason Plumlee | 28 | 9 | 4 | 2 | 4-5 | 80% | 0-0 | 0% | 1-2 | 50% | 0 | 6 | 1 | 1 | 3 | 2 | C | Portland |\n| Ed Davis | 20 | 7 | 11 | 1 | 2-4 | 50% | 0-0 | 0% | 3-4 | 75% | 1 | 0 | 1 | 4 | 7 | 4 | N/A | Portland |\n| Allen Crabbe | 25 | 7 | 0 | 1 | 3-10 | 30% | 1-4 | 25% | 0-0 | 0% | 1 | 1 | 0 | 0 | 0 | 0 | N/A | Portland |\n| Maurice Harkless | 17 | 5 | 4 | 1 | 2-5 | 40% | 0-1 | 0% | 1-1 | 100% | 0 | 0 | 0 | 1 | 3 | 2 | N/A | Portland |\n| Noah Vonleh | 19 | 5 | 3 | 0 | 1-3 | 33% | 0-1 | 0% | 3-4 | 75% | 0 | 2 | 0 | 0 | 3 | 3 | N/A | Portland |\n| Meyers Leonard | 24 | 4 | 7 | 1 | 1-7 | 14% | 0-4 | 0% | 2-2 | 100% | 0 | 1 | 1 | 1 | 6 | 3 | F | Portland |\n| Pat Connaughton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Chris Kaman | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Tim Frazier | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Luis Montero | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |" + }, + { + "from": "human", + "value": "Examine the data records in this picture, which depict an NBA game held on 11/02/2015. Use these data statistics to generate a comprehensive summary of the game." + }, + { + "from": "gpt", + "value": "The Portland Trail Blazers (2-2) handed the Minnesota Timberwolves (2-1) their first loss Monday, winning 106-101 at the Target Center. After jumping out to a commanding 13-point lead in the first quarter, the T-Wolves failed to keep Damian Lillard at bay. Portland 's point guard poured in a season-high 34 points (14-25 FG, 4-9 3Pt, 2-3 FT) with seven assists in 38 minutes. Minnesota nearly completed the rally from behind in the fourth quarter, but costly turnovers and missed free throws led to the T-Wolves' demise. The new-look Blazers are really missing the presence of LaMarcus Aldridge down low, as they have n't been able to find consistent play in their frontcourt so far this season. Meyers Leonard and Mason Plumlee combined for just 13 points and 11 rebounds in 52 minutes. Portland has been forced to rely heavily on its guard play from Lillard and C.J. McCollum, who has provided the perfect complement at the two-guard spot. McCollum finished with 18 points, six rebounds, and four assists in 36 minutes. Rookie Karl-Anthony Towns has started off his NBA career on the right foot, but took a small step back against Portland on Monday. He had a quiet night offensively, scoring just 11 points on 5-of-9 shooting from the field and pulled down only five rebounds in 27 minutes. Towns was in foul trouble all night, but did however manage to block four shots and did an excellent job keeping the Blazers frontcourt in check. Ricky Rubio came just short of a triple-double with 12 points, nine assists, and nine rebounds in 32 minutes, while Andrew Wiggins had another off night shooting the basketball with 16 points on 5-of-17 from the field. The Blazers play the first game of a back-to-back Wednesday at Utah. Minnesota welcomes the Heat to town Thursday." + } + ] + }, + { + "id": "table_instructV_multi_round_27356", + "image": "table_instructV/images/TAT-QA_77d32d68-40b6-4c76-8151-58b6e99bae9a.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| | | Year Ended February 28, | |\n| --- | --- | --- | --- |\n| | 2019 | 2018 | 2017 |\n| Net income (loss) | $18,398 | $16,617 | $(7,904) |\n| Basic weighted average number of common shares outstanding | 34,589 | 35,250 | 35,917 |\n| Effect of stock options and restricted stock units computed on | | | |\n| treasury stock method | 705 | 889 | - |\n| Diluted weighted average number of common shares outstanding | 35,294 | 36,139 | 35,917 |\n| Earnings (loss) per share: | | | |\n| Basic | $0.53 | $0.47 | $(0.22) |\n| Diluted | $0.52 | $0.46 | $(0.22) |" + }, + { + "from": "human", + "value": "Answer the question based on this table. In the end, output your final answer using the JSON: {\"answer\": []}.\nQuestion: What was the percentage change in Basic weighted average number of common shares outstanding between 2018 and 2019?\nAnswer: " + }, + { + "from": "gpt", + "value": "Based on the table, we need to conduct the following computations:\n(34589-35250)/35250 = -1.88\nTherefore, the final answer: {\"answer\": [\"-1.88\"]}." + }, + { + "from": "human", + "value": "I need to know the count of rows and columns in this specific table. The final result should be presented in the JSON format of {\"row_number\": \"m\", \"column_number\": \"n\"}." + }, + { + "from": "gpt", + "value": "There are 10 rows and 4 columns in the table. So, the final answer is {\"row_number\": \"10\", \"column_number\": \"4\"}." + }, + { + "from": "human", + "value": "Return the cells' value in the subsequent table rows:\nthe 9th row,\nthe 7th row,\n\nShow the cells in a row in the JSON format {\"row_id\":\"\", \"cell_list\":\"\"}. For example, {\"row_id\":\"1\", \"cell_list\": [\"A\", \"B\", \"C\"]}." + }, + { + "from": "gpt", + "value": "The extracted row contents are listed below.\nFor the 9th row: {\"row_id\": \"9\", \"cell_list\": ['Basic', '$0.53', '$0.47', '$(0.22)']}\nFor the 7th row: {\"row_id\": \"7\", \"cell_list\": ['Diluted weighted average number of common shares outstanding', '35,294', '36,139', '35,917']}" + }, + { + "from": "human", + "value": "Analyze the provided table. What is the answer to the upcoming query? In the end, output your final answer using the JSON: {\"answer\": []}.\nQuestion: What was the percentage change in net income(loss) between 2018 and 2019?" + }, + { + "from": "gpt", + "value": "Based on the table, we need to conduct the following computations:\n(18398-16617)/16617 = 10.72\nTherefore, the final answer: {\"answer\": [\"10.72\"]}." + } + ] + }, + { + "id": "table_instructV_multi_round_27369", + "image": "table_instructV/images/TabFact_2-16195179-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| heat | lane | name | country | mark |\n| --- | --- | --- | --- | --- |\n| 1 | 5 | dmitriy bogdanov | russia | 1:46.83 |\n| 1 | 2 | yusuf saad kamel | bahrain | 1:46.88 pb |\n| 1 | 4 | khadevis robinson | united states | 1:47.57 |\n| 1 | 3 | richard hill | united kingdom | 1:47.82 |\n| 1 | 6 | manuel olmedo | spain | 1:48.90 |\n| 1 | 1 | fabiano peã§anha | brazil | 1:49.63 |\n| 2 | 1 | mbulaeni mulaudzi | south africa | 1:47.39 sb |\n| 2 | 5 | abubaker kaki khamis | sudan | 1:47.41 |\n| 2 | 2 | robert lathouwers | netherlands | 1:48.27 pb |\n| 2 | 4 | abraham chepkirwok | uganda | 1:48.30 |\n| 2 | 6 | mattias claesson | sweden | 1:48.50 |\n| 2 | 3 | jozef repcik | slovakia | 1:48.61 |\n| 3 | 5 | nick symmonds | united states | 1:48.43 |\n| 3 | 4 | dmitrijs milkevics | latvia | 1:48.80 |\n| 3 | 3 | eugenio barrios | spain | 1:49.02 |\n| 3 | 6 | ehsan mohajer shojaei | iran | 1:49.32 |\n| 3 | 1 | abdoulaye wagne | senegal | 1:49.49 |\n| 3 | 2 | lukas rifeser | italy | 1:51.20 |" + }, + { + "from": "human", + "value": "Examine the table with the given title '2008 iaaf world indoor championships - men 's 800 metres' and judge whether the hypothesis is confirmed or opposed based on the table's content. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nthe fastest runner had a 05 faster time than the second fastest runner" + }, + { + "from": "gpt", + "value": "According to the table, the hypothesis is confirmed by the table information. Therefore, the final answer: {\"answer\": \"confirmed\"}." + }, + { + "from": "human", + "value": "Give you a table titled '2008 iaaf world indoor championships - men 's 800 metres' and a claim which is 'only two players , dmitriy bogdanov and mattias claesson , had times under 1:47', select the correct relation between the table and the claim based on the table information. Show your final answer in the JSON format {\"answer\": \"\"}.\n\n(A) supports (the claim is true)\n(B) opposes (the claim is false)" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table opposes the validity of the claim. Therefore, the final answer: {\"answer\": \"opposes\"}." + }, + { + "from": "human", + "value": "Analyze this table picture about '2008 iaaf world indoor championships - men 's 800 metres' and classify whether the given table supports or opposes the claim. Output the final answer as JSON in the format {\"answer\": \"\"}.\n\nthe fastest runner had a 08 faster time than the second fastest runner" + }, + { + "from": "gpt", + "value": "Based on the table, the claim can not hold true. Thus, the final answer is {\"answer\": \"opposes\"}." + }, + { + "from": "human", + "value": "Using the information in the table image about '2008 iaaf world indoor championships - men 's 800 metres', determine whether the next statement is entailed or challenged by the table. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\n\nthe united states and spain were the only countries to have more than one participant in the 2008 iaaf world indoor championships - men 's 800 metres" + }, + { + "from": "gpt", + "value": "Based on the table information, the statement is true. Thus, the answer is {\"answer\": \"entailed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_27399", + "image": "table_instructV/images/TABMWP_27360.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Number of jackets | Number of buttons |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | ? |" + }, + { + "from": "human", + "value": "Show the detailed solution to answer the following question. In the end, output your final answer using the JSON format: {\"answer\": \"\"}.\nQuestion: Each jacket has 2 buttons. How many buttons are on 5 jackets?" + }, + { + "from": "gpt", + "value": "Count by twos. Use the chart: there are 10 buttons on 5 jackets.\n\nTherefore, the final answer is {\"answer\": \"10\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_27428", + "image": "table_instructV/images/TabFact_2-16704913-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| season | episodes | season premiere | season finale | peak series rating | average series rating | dvd release date | discs |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| telemovie & season 1 | 23 | 11 may 1996 (telemovie) , 8 august 2001 (series) | 20 march 2002 | 1.9 million viewers | 1.85 million viewers | 10 september 2003 | 6 |\n| season 2 | 22 | 27 march 2002 | 16 october 2002 | 1.9 million viewers | 1.84 million viewers | 12 july 2004 | 6 |\n| season 3 | 30 | 12 february 2003 | 29 october 2003 | 1.9 million viewers | 1.82 million viewers | june , 2005 | 6 |\n| season 4 | 32 | 11 february 2004 | 24 november 2004 | 1.8 million viewers | 1.68 million viewers | october , 2005 | 7 |\n| season 5 | 32 | 9 february 2005 | 23 november 2005 | 1.7 million viewers | 1.65 million viewers | april , 2006 | 7 |\n| season 6 | 32 | 15 february 2006 | 29 november 2006 | 1.5 million viewers | 1.44 million viewers | 11 april 2007 | 7 |\n| season 7 | 32 | 7 february 2007 | 17 october 2007 | 1.4 million viewers | 1.08 million viewers | 30 april 2008 | 7 |\n| season 8 | 22 | 23 july 2008 | 31 january 2009 | 1.0 million viewers | 0.65 million viewers | november 2008 | 6 |" + }, + { + "from": "human", + "value": "According to the information in the given table regarding 'list of mcleod 's daughters episodes', tell me whether the statement is entailed or disputed by the table. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nseason 3 and season 4 of mcleod 's daughters were both released on dvd in 2006" + }, + { + "from": "gpt", + "value": "Based on the table information, the statement is not true. Thus, the answer is {\"answer\": \"disputed\"}." + }, + { + "from": "human", + "value": "This is a table image titled 'list of mcleod 's daughters episodes', help me determine if the table supports or conflicts with the following claim. Show your final answer in the JSON format {\"answer\": \"\"}.\nfour seasons of mcleod 's daughters were released on more than 6 discs" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it supports the claim. Hence, the answer is {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "This is a table named 'list of mcleod 's daughters episodes', please determine whether the given statement is entailed or disputed by the table information. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nseason 8 of mcleod 's daughters had an average series rating of 2 million fewer viewers than season 5" + }, + { + "from": "gpt", + "value": "Based on the evidence presented in the table, we can conclude that the statement is not true. Therefore, the answer is {\"answer\": \"disputed\"}." + }, + { + "from": "human", + "value": "Examine the table titled 'list of mcleod 's daughters episodes' and judge whether the table supports or refutes the following claim. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nseason 8 of mcleod 's daughters had an average series rating of 1 million fewer viewers than season 5" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it supports the claim. So, the answer is {\"answer\": \"supports\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_27497", + "image": "table_instructV/images/ToTTo_train_table_8350.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Series Leader | Series Rival | Series Record | Series Began | Notes | References |\n| --- | --- | --- | --- | --- | --- |\n| Norwich Free Academy (Norwich, CT) | New London High School (New London, CT) | 77–63–11 | 1875 | Annual Thanksgiving football game. One of the original annual Thanksgiving football games, but has not been played continuously. | |\n| Phillips Academy Andover (Andover, MA) | Phillips Exeter Academy (Exeter, NH) | 74-54-10 | 1878 | The oldest football rivalry between private American prep schools, waged between two schools 37 miles apart and founded in the 18th century by members of the Phillips family. | |\n| Wellesley High School (Wellesley, MA) | Needham High School (Needham, MA) | 62–59–9 | 1882 | Annual Thanksgiving Day game. First played Thanksgiving morning 1882 at Morton Field in Wellesley (named West Needham at the time). | |\n| Fordham Preparatory School (Bronx, NY) | Xavier High School (New York, NY) | 49–39–3 | 1883 | Annual Thanksgiving football game. The oldest high school rivals in New York City, with the 86th meeting taking place in 2009. | |\n| Milton Academy (Milton, MA) | Noble and Greenough School (Dedham, MA) | | 1886 | Annual football game. One of the oldest continual football rivalries in the nation. | |\n| Groton School (Groton, MA) | St. Mark's School (Southborough, MA) | 77–45–2 | 1886 | Annual football game. St. Mark's-Groton Rivalry | |\n| Boston Latin School (Boston, MA) | English High School (Boston, MA) | 77–35–13 | 1887 | Annual Thanksgiving football game. Oldest continuous high school football rivalry in the U.S. | |\n| Lawrenceville School (Lawrenceville, NJ) | The Hill School (Pottstown, PA) | 59–42–5 | 1887 | Annual football game. One of the oldest continual football rivalries in the nation. | |\n| William Penn Charter School (Philadelphia, PA) | Germantown Academy (Fort Washington, PA) | 80–33–11 | 1887 | Believed to be the nation's oldest uninterrupted football rivalry among prep schools. | |\n| Baltimore Polytechnic Institute (Baltimore, MD) | Baltimore City College (Baltimore, MD) | 62–61–6 | 1889 | The annual Poly-City Game is now played at M&T Bank Stadium, normally home to the Baltimore Ravens, first Saturday in November after more than 75 years on Thanksgiving Day. | |\n| Hyde Park Career Academy (Chicago, IL) | Englewood Technical Prep Academy (Chicago, IL) | 56–46–6 | 1889 | Called by one writer \"The Greatest High School Football Rivalry in Illinois\", Hyde Park and Englewood's first game took place in 1889. | |\n| The Haverford School (Haverford, PA) | Episcopal Academy (Merion, PA) | 53–44–2 | 1889 | Annual EA Day or Episcopal-Haverford Day football game. The second oldest high school football rivalry in Pennsylvania? | |\n| Malden High School (Malden, MA) | Medford High School (Medford, MA) | 62–55–10 | 1889 | Annual Thanksgiving football game. The 127th meeting took place in 2014 in Malden. | |\n| Utica Proctor (Utica, NY) | Rome Free Academy (Rome, NY) | | 1891 | Annual homecoming game but regular games throughout season. | |\n| Winchester High School (Winchester, MA) | Woburn Memorial High School (Woburn, MA) | 51–42–12 | 1891 | Annual Thanksgiving football game. This storied rivalry met for its 109th game in 2013. | |\n| Beverly High School (Beverly, MA) | Salem High School (Salem, MA) | 54–51–7 | 1891 | One of the oldest rivalry in the state. Thanksgiving football. | |\n| Newburyport High School (Newburyport, MA) | Amesbury High School (Amesbury, MA) | 44–33–6 | 1891 | Annual Thanksgiving football game. Rivalry includes several unsanctioned games between 1891 and 1914. | |\n| Louisville Male High School (Louisville, KY) | duPont Manual High School (Louisville, KY) | 81–45–6 | 1892 | Dubbed \"The Old Rivalry\" it is the oldest high school rivalry in Kentucky and the oldest rivalry west of the Appalachian Mountains. | |\n| Central High School (Pueblo, Colorado) | Centennial High School (Pueblo, Colorado) | 56–53–9 | 1892 | This rivalry is noted as being the oldest high school football rivalry West of the Mississippi River. There were no games held from 1908–1920. | |\n| Abilene High School (Abilene, KS) | Chapman High School (Chapman, KS) | | 1892 | Annual football game, often serving as the Homecoming game for each team in alternating years. In 2009, this rivalry was also picked by ESPN as the greatest rivalry in Kansas. | |\n| Northeast High School (Philadelphia, PA) | Central High School (Philadelphia, PA) | 54–51–10 | 1892 | Annual Thanksgiving game. The Philadelphia area's most recognized Thanksgiving football tradition, the schools play each year for the wooden horse trophy. | |\n| Cony High School (Augusta, ME) | Gardiner High School (Gardiner, ME) | 65–55–10 | 1892 | Cony and Gardiner play in the Pine Tree Conference in Maine. After some recent division shuffling the teams are once again in the same division, Class B. | |\n| Vineland High School (Vineland, NJ) | Millville High School (Millville, NJ) | 63–62-19 | 1893 | Annual Thanksgiving football game. The oldest rivalry football game in New Jersey. | |\n| Saint Ignatius College Preparatory (San Francisco, CA) | Sacred Heart Cathedral Preparatory (San Francisco, CA) | 41–19–2 | 1893 | The rivalry dates back to a rugby game on March 17, 1893; this led to the establishment of the Bruce-Mahoney Trophy in 1947. | |\n| West Aurora High School (Aurora, IL) | East Aurora High School (Aurora, IL) | 64–48–12 | 1893 | The East-West rivalry dates back to November 18, 1893, and is the longest continuous rivalry in Illinois. The two schools met in all but two years (1894 and 1897) since 1893, including two games in 1896 and 1898, with all but a handful of games prior to 1953 taking place on Thanksgiving Day. | |\n| Bradford Area High School (Bradford, PA) | Olean High School (Olean, NY) | | 1893 | The second-oldest interstate high school football rivalry in the country, and the oldest such rivalry to feature public schools. | |\n| B.M.C. Durfee High School (Fall River, MA) | New Bedford High School (New Bedford, MA) | | 1893 | Annual Thanksgiving football game. The oldest high school football rivalry in South Coast New England. | |\n| Pottsville Area High School (Pottsville, Pennsylvania) | Reading High School (Reading, Pennsylvania) | 46–38–8 | 1893 | Cut and polished anthracite coalTraditional annual Thanksgiving Day Game 1932–77. Cities separated by 34 miles via PA Route 61. | |\n| Gonzaga College High School (Washington, DC) | St. John's College High School (Washington, DC) | 45–40–5 | 1893 | Though the schools both played football as early as 1889, the football rivalry did not take root until 1928. The \"Modern Era\" began on October 26, 1928, when the teams met at Georgetown University before a crowd of 2,500. | |\n| Mount Carmel High School (Mount Carmel, Pennsylvania) | Shamokin High School (Shamokin, Pennsylvania) | 67–25–11 | 1893 | Following a six-year hiatus from 1928–1933, the two teams have played each other every year since 1934. The game known as the \"Coal Bucket Game\", formerly played on Thanksgiving Day, began in 1951 (series record: 41–15–2). | |\n| Thornton Academy (Saco, Maine) | Biddeford High School (Biddeford, Maine) | 49–34–8 | 1893 | The annual \"Battle of the Bridge\" rivalry began in 1893 off and on until 1927. In 1954 there was a 9-year gap before resuming in 1963 and continuing on ever since. | |\n| Hebron Academy (Hebron, ME) | Kents Hill School (Kents Hill, ME) | | 1894 | Annual football game. Kents Hill School Rivalry | |\n| Athol High School (Athol) | Ralph C. Mahar Regional High School (Orange, Massachusetts) | 51-31-1 | 1894 | Annual football game. Thanksgiving Day Game | |\n| St. Johnsbury Academy (St. Johnsbury, VT) | Lyndon Institute (Lyndon, VT) | 64–44–6 | 1894 | Annual football game. Played on the last Saturday of the regular season for Vermont High School football. | |\n| Menominee High School (Menominee, MI) | Marinette High School (Marinette, WI) | 51–50–7 | 1894 | The oldest interstate rivalry between two public high schools (third overall), Menominee and Marinette are \"twin towns\" separated by less than a mile of water and a bridge, making the rivalry all the more intense. | |\n| Massillon Washington High School (Massillon, OH) | Canton McKinley High School (Canton, OH) | 64–51–5 | 1894 | Annual. The last game of the regular season at either Paul Brown Tiger Stadium in Massillon, or Fawcett Stadium, next to the Pro Football Hall of Fame, in Canton. | |\n| Millville Senior High School (Millville, NJ) | Vineland Senior High School South/Vineland Senior High School North (Vineland, NJ) | 55–60–19 | 1894 | Annual Thanksgiving football game, this rivalry is the 12th-oldest in the United States. In terms of games (136), it is the fourth-longest in the nation's history. | |\n| Leominster High School (Leominster, MA) | Fitchburg High School (Fitchburg, MA) | 66–59–10 | 1894 | Annual Thanksgiving football game. \"The Rivalry\", also known by locals as the Turkey Bowl, met for the 111th Thanksgiving and the 155th time overall in 2016. | |\n| Newton North High School (Newton, MA) | Brookline High School (Brookline, MA) | 55–53–6 | 1894 | Annual Thanksgiving football game. | |\n| Ottawa Township High School (Ottawa, IL) | Streator Township High School (Streator, IL) | 58–37–1 | 1895 | The Ottawa Pirates and Streator Bulldogs are the 3rd longest football rivalry in the State of Illinois still active. | |\n| Ansonia High School (Ansonia, CT) | Naugatuck High School (Naugatuck, CT) | 68–34–10 | 1895 | Annual Thanksgiving football game. Game regularly draws crowds of up to 10,000. | |\n| Sandusky High School (Sandusky, OH) | Fremont Ross High School (Fremont, OH) | | 1895 | Annual battle between the Sandusky Blue Streaks and the Ross Little Giants is the second oldest rivalry in Ohio. | |\n| Barnstable High School (Hyannis, MA) | Falmouth High School (Falmouth, MA) | 58–57–8 | 1895 | Annual football game. Traditionally played on Thanksgiving Day, series played on Cape Cod in Massachusetts. | |\n| Warwick Valley High School (Warwick, NY) | Goshen High School (Goshen, NY) | 45–44–0 (since 1927) | 1896 | Second-oldest rivalry in New York State; teams have played annually since 1927, and for the Spirit Trophy since 1976. In 2011, Goshen opted out of the rivalry due to divisional realignment. | |\n| North Tonawanda High School (North Tonawanda, NY) | Tonawanda High School (Tonawanda, NY) | 63–31–9 | 1896 | Annual T-NT game is the oldest rivalry in the Buffalo, NY area. | |\n| Dover High School (Dover, OH) | New Philadelphia High School (New Philadelphia, OH) | 56–50–9 | 1896 | Annual, last Friday in October. One of the oldest rivalries in the state. | |\n| Adrian High School (Adrian, MI) | Monroe High School (Monroe, MI) | | 1896 | Annual game. Usually the last game of the season. | |\n| Lower Merion High School (Ardmore, PA) | Radnor High School (Radnor, PA) | 56–53–11 | 1897 | Annual football game; The oldest continuously played public high school football rivalry in the country. Radnor High School grants the students of the school a half-day on the next school day if the school beats Lower Merion. | |\n| Middletown High School (Middletown, NY) | Port Jervis High School (Port Jervis, NY) | 69–55–7 | 1897 | Annual football game; played for the Erie Bell from a railroad linking the two Orange County, NY cities. Middletown won the most recent meeting 37-14. | |\n| East Orange High School (East Orange, NJ) | Barringer High School (Newark, NJ) | | 1897 | Annual football game. Traditionally played on Thanksgiving Day. John Amos played in series, Dionne Warwick was a cheerleader in 1957. | |\n| Lewiston High School (Lewiston, ME) | Edward Little High School (Auburn, ME) | 93-70-12 | 1897 | The 175th Battle of the Bridge was won by Lewiston in 2017. | |\n| LaSalle-Peru High School (LaSalle, IL) | Ottawa Township High School (Ottawa, IL) | 63–50–5 | 1898 | The Ottawa Pirates and LaSalle-Peru Cavaliers are one of the longest football rivalries in the State of Illinois still active. LaSalle-Peru won 2017 game 17-7. | |\n| Webster Groves High School (Webster Groves, MO) | Kirkwood High School (Kirkwood, MO) | 54–49–7 | 1898 | The rivalry began on November 18, 1898 and was first played on Thanksgiving Day in 1907 as the first championship game in St. | |\n| Sherman High School (Sherman, TX) | Denison High School (Denison, TX) | 68-42-8 | 1898 | The annual \"Battle of the Ax,\" featuring the two largest high schools in the region of Texas commonly known as Texomaland, is among the oldest high school football rivalries in the state of Texas. | |\n| Ironton High School (Ironton, OH) | Portsmouth High School (Portsmouth, OH) | 58–58–9 | 1899 | This is the oldest rivalry in southern Ohio and the fourth-oldest in the entire state. The first meeting was a scoreless tie on November 30, 1899, at modern-day Moulton's Field in Ironton. | |\n| Shenandoah Valley High School (Shenandoah, Pennsylvania) | Mahanoy Area High School (Mahanoy City, Pennsylvania) | 57–39–6 | 1899 | \"The Backyard Brawl\". 103rd meeting in 2011. | |\n| Reading Memorial High School (Reading, MA) | Stoneham High School (Stoneham, MA) | 61–24–8 | 1899 | Annual football game. Traditionally played on Thanksgiving Day. Has been played continuously since 1923. | |\n| Troy High School (Troy, OH) | Piqua High School (Piqua, OH) | 62–62–6 | 1899 | Annual football game. Has been played continuously since 1911 and has had 130 meetings. | |\n| Carmi-White County High School (Carmi, IL) | Fairfield Community High School (Fairfield, IL) | 60–41–6 | 1899 | Annual football game. Have played for the Rotary Wheel trophy since 2005 (Fairfield leads trophy series 4-2) | |\n| Marlborough High School (Marlborough, MA) | Hudson High School (Hudson, MA) | 60–44–5 | 1900 | Annual Thanksgiving football game. It is one of the oldest rivalries in Central Mass. | |\n| Westfield High School (Westfield, NJ) | Plainfield High School (Plainfield, NJ) | 57–45–7 | 1900 | Annual Thanksgiving football game. Celebrated 100th game in 2005. | |\n| Yoakum High School (Yoakum, TX) | Cuero High School (Cuero, TX) | 53–51–0 | 1900 | The oldest small school rivalry in Texas. One of the intense rivalries in the nation, notwithstanding its lack of competitiveness – Cuero went undefeated for 42 consecutive years from 1969 to 2011. | |\n| Melrose High School (Melrose, MA) | Wakefield High School (Wakefield, MA) | 51–38–6 | 1901 | Annual football game. Have played continuously since 1918. Have played on Thanksgiving since 1960. | |\n| Woodberry Forest School (Woodberry Forest, VA) | Episcopal High School (Alexandria, VA) | 57–49–9 | 1901 | Annual football game. This is the longest consecutive high school rivalry in the South. | |\n| Dunkirk High School (Dunkirk, NY) | Fredonia High School (Fredonia, NY) | 63–43–11 | 1901 | Annual game. One of the longest running rivalries in Western New York. | |\n| Pottsville High School (Pottsville, PA) | Shamokin Area High School (Shamokin, PA) | 50–20–0 | 1901 | Anthracite \"Hard\" Coal Region Eastern Pennsylvania Football clash. Schools separated by 27 miles via PA Route 901. | |\n| Benedictine Military School (Savannah, GA) | Savannah High School (Savannah, GA) | 51–47–8 | 1902 | The oldest high school football rivalry in the state of Georgia; it used to be played on Thanksgiving Day before 1960. | |\n| Fremont Ross High School (Fremont, OH) | Findlay High School (Findlay, OH) | 57–34–3 | 1902 | Findlay won first game of series on Oct. 17, 1902, but since Fremont is 57-33-3. | |\n| Logansport High School (Logansport, Indiana) | Peru High School (Peru, Indiana) | 58-50-5 | 1902 | Annual football game. Peru-Logansport Rivalry. | |\n| Blair Academy (Blairstown, NJ) | Peddie School (Hightstown, NJ) | 54–49–5 | 1903 | One of the oldest rivalries in New Jersey, has met every year since 1902, with the exception of one year due to a polio outbreak in 1944. | |\n| Dodge City High School, (Dodge City, KS) | Garden City High School, (Garden City, KS) | 70–35–4 | 1903 | An annual game, nicknamed the \"Hatchet Game,\" in which the winner receives a traveling trophy (a hatchet). It is the second oldest rivalry game in Kansas. | |\n| Wooster High School, (Wooster, OH) | Orrville High School, (Orrville, OH) | 56–43–9 (through 2018) | 1903 | Annual. The longest running rivalry in Wayne County, Ohio and 6th longest in Ohio. | |\n| Parkersburg High School (Parkersburg, WV) | Marietta High School (Marietta, OH) | 74–27–6 | 1903 | The Battle for the Mid-Ohio Valley has been waged between PHS (West Virginia) and MHS (Ohio) for over a century. There have been 108 meetings between the two schools. | |\n| Shelton High School (Shelton, CT) | Derby High School (Derby, CT) | 52–42–7 | 1904 | Annual Thanksgiving football game. It draws upwards of 10,000 people. | |\n| Round Valley High School (Eagar, AZ) | St. Johns High School (St. Johns, AZ) | | 1904 | | |\n| Newburgh Free Academy (Newburgh, New York) | Kingston High School (Kingston, New York) | 56-51-5 | 1905 | Played annually since 1919. One of the oldest rivalries in New York State. | |\n| La Junta High School (La Junta, CO) | Lamar High School (Lamar, CO) | 55–47–1 | 1905 | One of the oldest rivalries in Colorado. The Savages and Tigers have recently played for a train whistle in what has been dubbed the \"Whistle Game,\" similar to Pueblo's \"Bell Game.\" This tradition began in 2002. | |\n| Green Bay East High School (Green Bay, WI) | Green Bay West High School (Green Bay, WI) | 51–39–3 | 1905 | One of the oldest rivalries in Wisconsin. First unofficial game took place in 1895. | |\n| Mount Carmel High School (Chicago, IL) | St. Rita of Cascia High School (Chicago, IL) | 56–27–0 | 1905 | One of the oldest rivalries in the Chicago Catholic League. Games generally draw crowds of close to 10,000. | |\n| Baylor School (Chattanooga, TN) | The McCallie School (Chattanooga, TN) | 43–36–3 | 1905 | The oldest rivalry in Tennessee. Called the \"cross-river\" rivalry because the two schools are separated by the Tennessee River in Chattanooga. | |\n| Dover High School (Dover, NH) | Spaulding High School (Rochester, NH) | 66–46–8 | 1906 | One of the oldest and fiercest rivalries in New Hampshire. The first game in 1906 was a 0-0 tie. | |\n| Douglas High School (Douglas, AZ) | Bisbee High School (Bisbee, AZ) | 76—57—8 | 1906 | \"The (Copper) Pick\" began in 1906, a contest between the high schools of two mining towns in southeast Arizona. | |\n| Pottsville High School (Pottsville, Pennsylvania) | Mount Carmel High School (Mount Carmel, Pennsylvania) | 29–29–2 | 1906 | Anthracite \"Hard\" Coal Region Eastern Pennsylvania Football clash. Schools separated by 18 miles via PA Route 901. | |\n| Easton Area High School (Easton, PA) | Phillipsburg High School (Phillipsburg, NJ) | 63–42–5 | 1906 | The two cities are located in separate states, separated by a bridge that crosses the Delaware River. First nationally televised high school football game-1988. | |\n| Aberdeen High School (Aberdeen, WA) | Hoquiam High School (Hoquiam, WA) | 62–35–5 | 1906 | The oldest high school football rivalry in the state of Washington. It had been the longest running football rivalry in the state until 1996 when Hoquiam High School cancelled the final three weeks of the season due to drug and alcohol violations. | |\n| Bellaire High School (Bellaire, OH) | Martins Ferry High School (Martins Ferry, OH) | 53–48–7 | 1907 | 7th oldest rivalry in the state of Ohio. Also both teams are in the top 10 in Ohio and top 100 in the nation in all-time wins. | |\n| Haynesville Senior High School (Haynesville, LA) | Homer High School (Homer, LA) | 71-31-5 | 1907 | Annual game and oldest high school football rivalry in the state of Louisiana, known as the \"Claiborne Parish Super Bowl.\" The most notable game in the series was for the 1971 2A state title; it ended in a tie, but HSHS was awarded the trophy, because they had more first downs. | |\n| Auburn Senior High School (Auburn, WA) | Kent-Meridian High School (Kent, WA) | 47–47–13 | 1908 | The second oldest high school football rivalry in Washington as well as the longest running rivalry. The winner of each year's game wins and displays the Taylor Trophy which was first presented by Dr. | |\n| Sikeston High School (Sikeston, MO) | Charleston High School (Charleston, MO) | 90–34–4 | 1908 | Separated by 12 miles, it is considered by some pundits to be the oldest rivalry west of the Mississippi River in terms of number of games played. | |\n| Santa Cruz High School (Santa Cruz, CA) | Watsonville High School (Watsonville, CA) | | 1908 | | |\n| Palmyra High School, (Palmyra, NJ) | Burlington City High School, (Burlington, NJ) | 56–47–12 | 1908 | Annual Thanksgiving game; one of the oldest rivalries in New Jersey and the Philadelphia metropolitan area. | |\n| Brookfield High School, (Brookfield, MO) | Marceline High School, (Marceline, MO) | 39–36–1 | 1909 | Separated by 9 miles, this heated rivalry is one of the oldest in Missouri. | |\n| Whitman-Hanson Regional High School, (Whitman, MA) | Abington High School, (Abington, MA) | 53-38-5 (through 2010) | 1910 | Has been an annual Thanksgiving Contest since 1910, only skipping 1912. | |\n| Asheville School (Asheville, NC) | Christ School (Arden, NC) | 50-36-4 | 1911 | Has been played annually since 1911. The Asheville School Blues have the winning record, with the Christ School Greenies having won the contest every year since 2011. | |\n| Portland High School (Portland, ME) | Deering High School (Portland, ME) | 54–36–7 | 1911 | Annual Thanksgiving football game played the week after the state football championship. This is the only annual Thanksgiving game in Maine. | |\n| Mayfield High School, Mayfield, KY | Paducah Tilghman High School, Paducah, KY | 49–46–9 (according to MHS) or 47–47–10 (according to PTHS) | 1911 | Second-oldest rivalry in Kentucky. Oldest rivalry in western Kentucky. | |\n| Stonington High School (Stonington, Connecticut) | Westerly High School (Westerly, Rhode Island) | 74–66–17 | 1911 | Annual Thanksgiving football game; teams used to play twice a year. In terms of games, no two high school football teams have played as many games against each other. | |\n| El Campo High School (El Campo, Texas) | Bay City High School (Bay City, Texas) | 55–43–8 | 1911 | Longest continual rivalry in Texas - the Ricebirds and Blackcats have played every year since 1920. | |\n| Bluefield High School (Bluefield, West Virginia) | Graham High School (Bluefield, Virginia) | 63-24-2 | 1911 | \"The Battle of the Bluefields\" is the classic Beaver/Graham football game. The backyard brawl between cross-border rivals, Bluefield High School Beavers on the West Virginia side and Graham High School G-Men from the Virginia side, is the area's largest sporting event. | |\n| Texas High School, (Texarkana, Texas) | Arkansas High School, (Texarkana, Arkansas) | | 1912 | Long-standing rivalry between twin cities separated by a state line. | |\n| Geneva High School, (Geneva, IL) | Batavia High School, (Batavia, IL) | 51–43–5 | 1913 | A heated rivalry between two teams that are only separated by a border. | |\n| Jackson High School, (Jackson, MO) | Cape Central High School, ( Cape Girardeau, MO) | 63–35–5 | 1913 | Jackson and Cape play only 11 miles from each other, separated only by class, with Jackson in 5A, and Cape in 4A. | |\n| Evanston Township High School, (Evanston, IL) | New Trier High School, (Winnetka, IL) | 54–45–4 | 1913 | Evanston leads the all-time series, but as of the end of the 2014-2015 season, New Trier had won 17 of the last 20 games. | |\n| Valdosta High School, (Valdosta, GA) | Colquitt County High School, (Moultrie, GA) | 29–70–4 | 1913 | Valdosta leads the all-time series, but as of September 22, 2017 the Colquitt County Packers have won the last 5 games in the series. | |\n| Abington Senior High School | Cheltenham High School | 54–34–6 | 1915 | The fifth-oldest public high school football rivalry in Pennsylvania, the seventh of all schools. The rivalry is between the senior high schools of neighboring Abington and Cheltenham townships. | |\n| Napoleon High School (Napoleon, Ohio) | Defiance High School (Defiance, Ohio) | 49-39-2 | 1916 | Dubbed the \"Maumee River Rivalry\" because the 2 towns are located approximately 15 miles apart with both situated on the Maumee River. | |\n| Hollywood High School (Hollywood, California) | Van Nuys High School (Van Nuys, California) | | 1916 | One of the oldest high school rivalries in Los Angeles. Both high schools have graduated a number of famous Hollywood celebrities, and NFL Hall-of-Famer Bob Waterfield was a VNHS alum. | |\n| Thomasville High School (Thomasville, AL) | Clarke County High School (Grove Hill, AL) | 61-30-8 | 1917 | Separated by 15 miles, the two compete in a three-way rivalry similar to the Army-Navy-Air Force rivalry. | |\n| Jackson High School (Jackson, AL) | Clarke County High School (Grove Hill, AL) | 63-29-8 | 1917 | Separated by 15 miles, the two compete in a three-way rivalry similar to the Army-Navy-Air Force rivalry. | |" + }, + { + "from": "human", + "value": "This image shows a Wikipedia table named 'List of high school football rivalries more than 100 years old'. Generate a sentence to describe the information in the highlighted table cells." + }, + { + "from": "gpt", + "value": "The annual Thanksgiving game between Amesbury High School and Newburyport High School is one of the oldest high school football rivalries in the country, dating back to 1891." + } + ] + }, + { + "id": "table_instructV_multi_round_27501", + "image": "table_instructV/images/ToTTo_train_table_21067.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| India | v | Bangladesh |\n| --- | --- | --- |\n| 687/6d (166 overs) Virat Kohli 204 (246) Taijul Islam 3/156 (47 overs) | | 388 (127.5 overs) Mushfiqur Rahim 127 (262) Umesh Yadav 3/84 (25 overs) |\n| 159/4d (29 overs) Cheteshwar Pujara 54* (58) Taskin Ahmed 2/43 (7 overs) | | 250 (100.3 overs) Mahmudullah 64 (149) Ravichandran Ashwin 4/73 (30.3 overs) |" + }, + { + "from": "human", + "value": "Here's a Wikipedia table under the title 'Bangladeshi cricket team in India in 2016–17', with a section titled 'Only Test'. Additional text about the table is as follows: India won the toss and elected to bat.\nUtilizing this table and its related metadata, construct a one-sentence summary of the highlighted cells." + }, + { + "from": "gpt", + "value": "India's total was 687 in Test." + } + ] + }, + { + "id": "table_instructV_multi_round_27573", + "image": "table_instructV/images/TABMWP_30071.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Number of desks | Number of pencils |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | 40 |\n| 5 | 50 |\n| 6 | ? |" + }, + { + "from": "human", + "value": "Give you a table. Please solve the math problem below, showing each step. Conclude your response with the final answer in the JSON format, structured as {\"answer\": \"\"}.\n\nEach desk has 10 pencils. How many pencils are on 6 desks? (Unit: pencils)" + }, + { + "from": "gpt", + "value": "Count by tens. Use the chart: there are 60 pencils on 6 desks.\n\nSo, the answer is {\"answer\": \"60\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_27585", + "image": "table_instructV/images/ToTTo_train_table_10130.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Year | Team | GP | Points | FG% | 3P% | FT% | RPG | APG | SPG | BPG | PPG |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2012-13 | South Florida | 33 | 245 | 41.9 | 32.4 | 72.5 | 3.4 | 0.9 | 0.8 | 0.4 | 7.4 |\n| 2013-14 | South Florida | 36 | 586 | 43.8 | 27.4 | 76.7 | 7.5 | 2.4 | 1.0 | 0.5 | 16.3 |\n| 2014-15 | South Florida | 35 | 710 | 42.0 | 36.9 | 78.9 | 7.5 | 3.3 | 1.6 | 0.9 | 20.3 |\n| 2015-16 | South Florida | 34 | 763 | 42.6 | 38.2 | 69.7 | 8.4 | 2.6 | 1.3 | 0.9 | 22.4 |\n| Career | South Florida | 138 | 2304 | 42.6 | 35.3 | 74.6 | 6.7 | 2.3 | 1.2 | 0.7 | 16.7 |" + }, + { + "from": "human", + "value": "Consider the table titled 'Courtney M. Williams', with its section named 'South Florida statistics' and supplementary text: Source\nDrawing from the table and the provided metadata, formulate a sentence describing the highlighted cells' content." + }, + { + "from": "gpt", + "value": "Courtney M. Williams finished the 2013-14 year averaging 16.3 points a game along with 7.5 rebounds and 2.4 assists." + } + ] + }, + { + "id": "table_instructV_multi_round_27596", + "image": "table_instructV/images/ToTTo_train_table_10104.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | 14–6 (1) | Austin Arnett | Decision (unanimous) | UFC Fight Night: Magny vs. Ponzinibbio | November 17, 2018 | 3 | 5:00 | Buenos Aires, Argentina | |\n| Loss | 14–5 (1) | Gabriel Benítez | KO (slam) | UFC Fight Night: Maia vs. Usman | May 19, 2018 | 1 | 0:39 | Santiago, Chile | |\n| Win | 14–4 (1) | Martin Bravo | KO (knee) | UFC Fight Night: Pettis vs. Moreno | August 5, 2017 | 1 | 0:25 | Mexico City, Mexico | Performance of the Night. |\n| Win | 13–4 (1) | Salim Mukhidinov | Submission (armbar) | KOTC: Groundbreaking | May 6, 2017 | 1 | 2:40 | San Jacinto, United States | |\n| Win | 12–4 (1) | Vicente Vargas | Submission (rear-naked choke) | Fusion Fighting Championship 25 | February 22, 2017 | 3 | 2:40 | Lima, Peru | |\n| Win | 11–4 (1) | Alonso Santos Verona Ganoza | Submission (armbar) | Redemption Fighters 2 | November 24, 2016 | 1 | 4:42 | Lima, Peru | |\n| Win | 10–4 (1) | Henry Moya | TKO (doctor stoppage) | Fusion Fighting Championship 21 | July 20, 2016 | 2 | 2:6 | Lima, Peru | |\n| Win | 9–4 (1) | Sergio Hortig | KO (head kick) | Fusion Fighting Championship 20 | May 4, 2016 | 2 | 0:28 | Lima, Peru | |\n| Loss | 8–4 (1) | Arturo Chavez | Submission (rear-naked choke) | Fusion Fighting Championship 19 | February 26, 2016 | 2 | 2:41 | Lima, Peru | |\n| Win | 8–3 (1) | Jose Zarauz | TKO (punches) | Fusion Fighting Championship 18 | December 16, 2015 | 1 | 2:24 | Lima, Peru | |\n| Loss | 7–3 (1) | Alonso Santos Verona Ganoza | Submission (choke) | Fusion Fighting Championship 16 | September 30, 2015 | 1 | 4:50 | Lima, Peru | |\n| Win | 7–2 (1) | Luis Marlon Gonzales Campos | Decision (split) | Fusion Fighting Championship 15 | July 15, 2015 | 3 | 5:00 | Lima, Peru | |\n| NC | 6–2 (1) | Luis Marlon Gonzales Campos | No Contest | Fusion Fighting Championship 13 | February 25, 2015 | 3 | N/A | Lima, Peru | |\n| Win | 6–2 | Manuel Meza | Submission (triangle choke) | Trujillo Fighting Championship 2 | November 28, 2014 | 3 | 4:24 | Trujillo, Peru | |\n| Win | 5–2 | Alonso Santos Verona Ganoza | Submission (rear-naked choke) | Fusion FC 11 | October 22, 2014 | 1 | NA | Lima, Peru | |\n| Win | 4–2 | Jesus Pinedo | Decision (split) | Inka FC 26 | May 24, 2014 | 3 | 5:00 | Lima, Peru | |\n| Loss | 3–2 | Enrique Barzola | Decision (split) | Inka FC 25 | May 24, 2014 | 3 | 5:00 | Lima, Peru | |\n| Loss | 3–1 | Bruno Pereira da Silva | Submission (Hheel hook) | Inka FC 24 | October 23, 2013 | 1 | 1:30 | Lima, Peru | |\n| Win | 3–0 | Juan Manuel Inurritegui | Decision (unanimous) | Inka FC 22 | June 29, 2013 | 3 | 5:00 | Lima, Peru | |\n| Win | 2–0 | Luis Chang | TKO (punches) | 300 Sparta - MMA | April 24, 2013 | 1 | 0:00 | Lima, Peru | |\n| Win | 1–0 | Renzo Mendez | Submission (triangle choke) | Inka 20 | February 27, 2013 | 1 | 0:00 | Lima, Peru | |" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table and its metadata. You are required to generate a one-sentence description of highlighted table cells. \nTable title: Humberto Bandenay\nSection title: Mixed martial arts record" + }, + { + "from": "gpt", + "value": "On August 5, 2017, Bandenay played against Martin Bravo at UFC Fight Night: Pettis vs. Moreno." + } + ] + }, + { + "id": "table_instructV_multi_round_27690", + "image": "table_instructV/images/Rotowire_train_table_2780.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Celtics | Boston | 116 | 24 | 28 | 31 | 33 | 26 | 38 | 13 | 47 | 79 | 47 | 39 | 26 | | | | |\n| Grizzlies | Memphis | 96 | 26 | 29 | 12 | 29 | 20 | 48 | 19 | 38 | 81 | 27 | 38 | 26 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Isaiah Thomas | 29 | 22 | 3 | 5 | 7-18 | 39% | 2-6 | 33% | 6-8 | 75% | 1 | 1 | 0 | 0 | 3 | 1 | G | Boston |\n| Evan Turner | 30 | 16 | 4 | 8 | 6-10 | 60% | 1-1 | 100% | 3-4 | 75% | 1 | 3 | 0 | 1 | 3 | 2 | N/A | Boston |\n| Jae Crowder | 22 | 15 | 2 | 1 | 5-12 | 42% | 3-6 | 50% | 2-2 | 100% | 2 | 1 | 1 | 1 | 1 | 4 | F | Boston |\n| Avery Bradley | 36 | 15 | 2 | 3 | 6-14 | 43% | 3-8 | 38% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 3 | G | Boston |\n| Jared Sullinger | 21 | 12 | 5 | 2 | 5-11 | 46% | 0-0 | 0% | 2-3 | 67% | 3 | 2 | 0 | 0 | 5 | 3 | C | Boston |\n| Jonas Jerebko | 23 | 11 | 5 | 0 | 3-4 | 75% | 3-4 | 75% | 2-2 | 100% | 1 | 1 | 1 | 1 | 4 | 4 | N/A | Boston |\n| Marcus Smart | 28 | 10 | 5 | 3 | 4-9 | 44% | 2-6 | 33% | 0-0 | 0% | 1 | 2 | 0 | 2 | 3 | 5 | N/A | Boston |\n| Tyler Zeller | 26 | 9 | 7 | 1 | 3-4 | 75% | 0-0 | 0% | 3-3 | 100% | 0 | 1 | 1 | 1 | 6 | 3 | N/A | Boston |\n| RJ Hunter | 2 | 3 | 0 | 0 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Boston |\n| Amir Johnson | 18 | 3 | 2 | 2 | 1-3 | 33% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 1 | 1 | 1 | 2 | F | Boston |\n| Jordan Mickey | 2 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 3 | 0 | 0 | 0 | N/A | Boston |\n| Terry Rozier | 2 | 0 | 2 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Boston |\n| James Young | 2 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Boston |\n| Grizzlies | | | | | | | | | | | | | | | | | | |\n| JaMychal Green | 37 | 17 | 13 | 2 | 6-12 | 50% | 0-1 | 0% | 5-6 | 83% | 0 | 4 | 2 | 4 | 9 | 4 | F | Memphis |\n| Vince Carter | 27 | 17 | 6 | 3 | 5-9 | 56% | 4-6 | 67% | 3-4 | 75% | 3 | 2 | 1 | 0 | 6 | 3 | N/A | Memphis |\n| Jarell Martin | 23 | 16 | 6 | 1 | 7-10 | 70% | 0-0 | 0% | 2-3 | 67% | 0 | 1 | 1 | 4 | 2 | 5 | N/A | Memphis |\n| Matt Barnes | 34 | 12 | 2 | 4 | 4-16 | 25% | 2-11 | 18% | 2-2 | 100% | 1 | 3 | 2 | 1 | 1 | 4 | F | Memphis |\n| Tony Allen | 27 | 12 | 5 | 2 | 4-9 | 44% | 0-0 | 0% | 4-6 | 67% | 2 | 4 | 0 | 2 | 3 | 2 | G | Memphis |\n| Mario Chalmers | 22 | 11 | 5 | 5 | 1-7 | 14% | 1-3 | 33% | 8-8 | 100% | 1 | 2 | 1 | 1 | 4 | 2 | G | Memphis |\n| Ryan Hollins | 25 | 7 | 6 | 0 | 3-5 | 60% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 2 | 4 | 0 | C | Memphis |\n| PJ Hairston | 25 | 2 | 3 | 0 | 1-8 | 13% | 0-4 | 0% | 0-0 | 0% | 1 | 0 | 0 | 2 | 1 | 0 | N/A | Memphis |\n| Lance Stephenson | 21 | 2 | 2 | 3 | 1-8 | 13% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 2 | N/A | Memphis |\n| Chris Andersen | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Zach Randolph | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Mike Conley | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |" + }, + { + "from": "human", + "value": "Generate a detailed match report for the NBA game on March 09, 2016. The game statistics are shown in the given picture." + }, + { + "from": "gpt", + "value": "The Boston Celtics (39-27) took care of the shorthanded Memphis Grizzlies (38-26) in a 116-96 win on Wednesday. This game appeared to be lopsided on paper and that proved to be the case on the floor. The Celtics really took it to the Grizzlies in the second half, as they outscored them 64-4`.The key for Boston was the defense, as they held Memphis to 38 percent shooting and drew 19 turnovers in the win. Memphis won their last game against the Cleveland Cavaliers in a similar circumstance, but this was the result that was much more likely with such a limited roster. Once again, Mike Conley, Zach Randolph and Marc Gasol missed this game and it clearly hampered the Grizzlies. JaMychal Green got the start for Randolph and double-doubled in a 17-point, 13-rebound performance. Jarrell Martin and Vince Carter both played well off the bench, as they went for 33 points combined, despite much of that coming in garbage time. Mario Chalmers tallied 11 points, five rebounds and five assists before leaving with what looked like a leg injury after 21 minutes of play. On deck for Memphis is a matchup with the New Orleans Pelicans on Friday. Th Celtics came into this game as a double-digit favorite and didn’t disappoint. Seven players scored in double-figures for Boston, with 13 players playing in total. The team combined for 26 assists on 41 made shots. Isaiah Thomas led the team with 22 points in the win, despite playing under 30 minutes. Evan Turner continued his good form off the bench, as he amassed 16 points, four rebounds and eight assists in the win. Boston 's next game will be on Friday, when they host the Houston Rockets." + }, + { + "from": "human", + "value": "In this table image, are there any merged cells? If so, describe their locations using the JSON format {'top-left':(R1, C1), 'bottom-right':(R2, C2)}, where (R1, C1) and (R2, C2) indicate the (row_id, column_id) of top-left and bottom-right cells in the merged regions, respectively. Note that the R1, C1, R2, C2 all start from 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + } + ] + }, + { + "id": "table_instructV_multi_round_27694", + "image": "table_instructV/images/Rotowire_train_table_895.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hawks | Atlanta | 101 | 25 | 21 | 26 | 29 | 29 | 42 | 11 | 46 | 83 | 31 | 56 | 18 | | | | |\n| Bucks | Milwaukee | 88 | 20 | 19 | 25 | 24 | 26 | 39 | 11 | 45 | 70 | 24 | 36 | 38 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hawks | | | | | | | | | | | | | | | | | | |\n| DeMarre Carroll | 34 | 23 | 8 | 5 | 9-13 | 69% | 2-6 | 33% | 3-5 | 60% | 0 | 1 | 2 | 3 | 5 | 1 | F | Atlanta |\n| Al Horford | 34 | 18 | 7 | 2 | 8-18 | 44% | 0-2 | 0% | 2-2 | 100% | 0 | 0 | 2 | 2 | 5 | 2 | C | Atlanta |\n| Paul Millsap | 35 | 15 | 9 | 2 | 6-10 | 60% | 0-2 | 0% | 3-4 | 75% | 2 | 1 | 0 | 2 | 7 | 4 | F | Atlanta |\n| Thabo Sefolosha | 13 | 11 | 4 | 0 | 4-6 | 67% | 1-1 | 100% | 2-2 | 100% | 1 | 0 | 0 | 2 | 2 | 2 | N/A | Atlanta |\n| Kyle Korver | 34 | 11 | 1 | 5 | 4-10 | 40% | 3-9 | 33% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 4 | G | Atlanta |\n| Pero Antic | 15 | 8 | 2 | 1 | 2-4 | 50% | 0-1 | 0% | 4-5 | 80% | 1 | 1 | 0 | 1 | 1 | 1 | N/A | Atlanta |\n| Jeff Teague | 29 | 8 | 4 | 9 | 2-8 | 25% | 2-2 | 100% | 2-2 | 100% | 0 | 5 | 0 | 1 | 3 | 4 | G | Atlanta |\n| Dennis Schroder | 6 | 4 | 1 | 1 | 0-2 | 0% | 0-1 | 0% | 4-4 | 100% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Atlanta |\n| Mike Muscala | 12 | 3 | 3 | 0 | 1-4 | 25% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 2 | N/A | Atlanta |\n| Shelvin Mack | 13 | 0 | 1 | 4 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 0 | N/A | Atlanta |\n| Kent Bazemore | 15 | 0 | 2 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 0 | N/A | Atlanta |\n| John Jenkins | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Elton Brand | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Bucks | | | | | | | | | | | | | | | | | | |\n| Giannis Antetokounmpo | 38 | 18 | 6 | 4 | 7-9 | 78% | 0-0 | 0% | 4-4 | 100% | 0 | 1 | 0 | 2 | 4 | 3 | F | Milwaukee |\n| Zaza Pachulia | 36 | 17 | 13 | 3 | 8-10 | 80% | 0-0 | 0% | 1-3 | 33% | 1 | 0 | 0 | 5 | 8 | 2 | C | Milwaukee |\n| Jerryd Bayless | 31 | 14 | 1 | 5 | 4-8 | 50% | 2-4 | 50% | 4-5 | 80% | 0 | 2 | 0 | 0 | 1 | 3 | N/A | Milwaukee |\n| Ersan Ilyasova | 29 | 12 | 5 | 0 | 4-13 | 31% | 2-4 | 50% | 2-4 | 50% | 0 | 1 | 1 | 1 | 4 | 2 | F | Milwaukee |\n| Khris Middleton | 36 | 12 | 4 | 4 | 6-14 | 43% | 0-5 | 0% | 0-0 | 0% | 2 | 1 | 0 | 0 | 4 | 3 | G | Milwaukee |\n| Johnny O'Bryant III | 12 | 7 | 0 | 1 | 3-4 | 75% | 0-0 | 0% | 1-1 | 100% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Milwaukee |\n| Michael Carter-Williams | 21 | 4 | 2 | 5 | 1-6 | 17% | 0-1 | 0% | 2-2 | 100% | 1 | 4 | 0 | 1 | 1 | 1 | G | Milwaukee |\n| John Henson | 18 | 2 | 4 | 1 | 1-6 | 17% | 0-0 | 0% | 0-2 | 0% | 0 | 1 | 1 | 3 | 1 | 2 | N/A | Milwaukee |\n| O.J. Mayo | 13 | 2 | 4 | 2 | 0-5 | 0% | 0-3 | 0% | 2-2 | 100% | 0 | 0 | 0 | 1 | 3 | 3 | N/A | Milwaukee |\n| Tyler Ennis | 3 | 0 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Milwaukee |\n| Miles Plumlee | 3 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Milwaukee |\n| Jared Dudley | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |" + }, + { + "from": "human", + "value": "Using the data statistics shown for the NBA game on March 30, 2015 in this picture, please construct an in-depth analysis and summary of the game." + }, + { + "from": "gpt", + "value": "The Atlanta Hawks (56-18) defeated the Milwaukee Bucks (36-38) 101-88 on Monday at the Philips Arena. When the Bucks cut the Hawks' lead to five midway through the third quarter, it appeared to be anyone 's game. However, after an Atlanta timeout, the Hawks' Kyle Korver made his mark on the game. Korver scored 11 straight points, including three three-pointers, help break the game open. The Hawks are now one game away from tying the single season franchise record for wins. Milwaukee was coming off a 108-95 loss to Golden State at home Saturday and fell again Monday. The Bucks, who are just 2 games ahead of the Heat for the sixth seed in the East, have now dropped eight of their last ten. Michael Carter-Williams was able to play after being away from the team to attend the funeral of a family member. Carter-Williams shot just 1-for-6 from the floor and finished with four points, five assists, and four turnovers in 21 minutes. Zaza Pachulia had 17 points and 13 rebounds against his former team. The Bucks will look to bounce back Wednesday against the Bulls in what could be a playoff preview. Atlanta deployed all of its usual starters Monday after resting them against Charlotte one night after clinching the number one seed in the East. Dennis Schroder suffered a left toe injury during Monday 's contest and coach Mike Budenholzer said in his post game press conference that the second year guard will not travel with the team to Detroit for Tuesday 's game. Schroder has been a great contributor off the bench and in spot start situations this season, so the Hawks will be cautious with him as they already have the top seed secured." + } + ] + }, + { + "id": "table_instructV_multi_round_27770", + "image": "table_instructV/images/TABMWP_27750.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $480 | 3,400 | 7,800 |\n| $540 | 3,100 | 10,800 |\n| $600 | 2,800 | 13,800 |\n| $660 | 2,500 | 16,800 |\n| $720 | 2,200 | 19,800 |" + }, + { + "from": "human", + "value": "View the table, then figure out the solution to this math problem. In the last of your solution, output the final answer as JSON in the format {\"answer\": \"\"}.\nProblem: Look at the table. Then answer the question. At a price of $660, is there a shortage or a surplus? (A) shortage (B) surplus\nYour solution:" + }, + { + "from": "gpt", + "value": "At the price of $660, the quantity demanded is less than the quantity supplied. There is too much of the good or service for sale at that price. So, there is a surplus.\n\n\nThus, the final answer is {\"answer\": \"surplus\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_27874", + "image": "table_instructV/images/TabFact_2-16514575-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| player | country | year (s) won | total | to par | finish |\n| --- | --- | --- | --- | --- | --- |\n| josé maría olazábal | spain | 1994 | 280 | - 8 | 1 |\n| bernhard langer | germany | 1985 , 1993 | 287 | - 1 | t11 |\n| ian woosnam | wales | 1991 | 288 | e | t14 |\n| tiger woods | united states | 1997 | 289 | + 1 | t18 |\n| larry mize | united states | 1987 | 290 | + 2 | t24 |\n| fred couples | united states | 1992 | 292 | + 4 | t27 |\n| mark o'meara | united states | 1998 | 293 | + 5 | t31 |\n| raymond floyd | united states | 1976 | 295 | + 7 | t38 |\n| craig stadler | united states | 1982 | 295 | + 7 | t38 |\n| sandy lyle | scotland | 1988 | 298 | + 10 | t48 |" + }, + { + "from": "human", + "value": "Analyze the table's content, including its title '1999 masters tournament', and determine whether the table entails or opposes the given sentence. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nsentence: raymond floyd is one of seven the winners from the united states" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it opposes the sentence. Hence, the answer is {\"answer\": \"opposes\"}." + }, + { + "from": "human", + "value": "Analyze the table picture about '1999 masters tournament' and classify whether the next statement is supported or refuted by the table. Output the final answer as JSON in the format {\"answer\": \"\"}.\n\nraymond floyd is one of six the winners from the united states" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the statement is valid. Hence, the answer is {\"answer\": \"supported\"}." + }, + { + "from": "human", + "value": "Analyze this table picture about '1999 masters tournament' and classify whether the given table confirms or refutes the claim. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\n\nian woosnam and sandy lyle are winners from the united kingdom" + }, + { + "from": "gpt", + "value": "Based on the table, the claim holds true. Thus, the final answer is {\"answer\": \"confirms\"}." + }, + { + "from": "human", + "value": "Examine the table with the caption '1999 masters tournament', classify whether the provided table substantiates or conflicts with the hypothesis. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nhypothesis: there are five winners who come from europe , all others are from the united states" + }, + { + "from": "gpt", + "value": "Based on the table, the hypothesis can not hold true. Thus, the final answer is {\"answer\": \"conflicts with\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_27989", + "image": "table_instructV/images/TABMWP_33678.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 14 | 20 |\n| 15 | 15 |\n| 16 | 8 |" + }, + { + "from": "human", + "value": "With the table image in mind, formulate a detail solution for the math problem. Show specific steps towards the answer. Provide a concluding answer in a JSON structure, using the format {\"answer\": \"\"}.\n\nThe table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear" + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{15 - 20}{15 - 14}\n = \\frac{-5}{1}\n = -5\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the first row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{8 - 20}{16 - 14}\n = \\frac{-12}{2}\n = -6\nThe rate of change is not the same for each pair of points. So, the function does not have a constant rate of change.\nThe function is nonlinear.\n\nSo, the answer is {\"answer\": \"nonlinear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_28008", + "image": "table_instructV/images/TABMWP_31822.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 9 | 3 |\n| 9 | 4 |\n| 5 | 10 |" + }, + { + "from": "human", + "value": "Question: Look at this table. Is this relation a function? (A) yes (B) no\nSolve the above question based on the table. In the last of your solution, output the final answer as JSON in the format {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "Look at the x-values in the table.\n\nThe x-value 9 is paired with multiple y-values, so the relation is not a function.\n\nSo, the answer is {\"answer\": \"no\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_28015", + "image": "table_instructV/images/TabFact_2-12963840-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| city of license | identifier | frequency | power | class | recnet |\n| --- | --- | --- | --- | --- | --- |\n| beaver creek | cbdm | 690 am | 40 s watt | lp | query |\n| carmacks | cbqf | 990 am | 40 watts | lp | query |\n| dawson city | cbdn | 560 am | 400 watts | c | query |\n| destruction bay / burwash landing | cbdl - fm | 105.1 fm | 96 watts | a | query |\n| faro | cbqk - fm | 105.1 fm | 87 watts | a1 | query |\n| haines junction | cbdf - fm | 103.5 fm | 90 watts | a1 | query |\n| mayo | cbdc | 1230 am 104.9 fm | 40 watts | lp | query |\n| ross river | cbqj | 990 am | 40 watts | lp | query |\n| teslin | cbdk | 940 am | 40 watts | lp | query |\n| watson lake | cbdb | 990 am | 40 watts | lp | query |\n| atlin , british columbia | cbua - fm | 90.1 fm | 14 watts | lp | query |\n| whitehorse , yukon | cfwh - fm - 1 | 95.3 fm | 50 watts | lp | query |" + }, + { + "from": "human", + "value": "Analyze this table picture about 'cfwh - fm' and classify whether the given table substantiates or contradicts the sentence. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\n\nthe frequency for the class c is 560 am" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it substantiates the sentence. So, the answer is {\"answer\": \"substantiates\"}." + }, + { + "from": "human", + "value": "Examine the table with the given title 'cfwh - fm' and judge whether the hypothesis is supported or challenged based on the table's content. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nthe power when the city of license is beaver creek is 40 s watts with a class a" + }, + { + "from": "gpt", + "value": "According to the table, the hypothesis is challenged by the table information. Therefore, the final answer: {\"answer\": \"challenged\"}." + }, + { + "from": "human", + "value": "Determine the relationship between the table named 'cfwh - fm' and the hypothesis. Whether the table supports or refutes the given hypothesis? Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nhypothesis: atlin , british columbia has a licence for the frequency of 90.1fm" + }, + { + "from": "gpt", + "value": "Based on the table, the hypothesis holds true. Thus, the final answer is {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title 'cfwh - fm', and determine whether the given sentence is confirmed or disproved by the table information. Output the final answer as JSON in the format {\"answer\": \"\"}.\nsentence: when the frequency is 560 am the class is c and the power is 96 watts" + }, + { + "from": "gpt", + "value": "Based on the table information, the sentence is not true. Thus, the answer is {\"answer\": \"disproved\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_28241", + "image": "table_instructV/images/TabFact_2-171229-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| official name | status | area km 2 | population | census ranking |\n| --- | --- | --- | --- | --- |\n| bouctouche | town | 18.34 | 2423 | 1171 of 5008 |\n| saint - antoine | village | 6.43 | 1770 | 1452 of 5008 |\n| richibucto | town | 11.83 | 1286 | 1769 of 5008 |\n| saint - louis - de - kent | village | 2.00 | 930 | 2174 of 5008 |\n| rexton | village | 6.14 | 818 | 2341 of 5008 |" + }, + { + "from": "human", + "value": "Based on the table image about 'kent county , new brunswick' and the subsequent claim, determine if the table affirms or opposes the subsequent claim. Show your final answer in the JSON format {\"answer\": \"\"}.\nclaim: boutouche and richibuto currently have a census ranking that classify them as towns" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table affirms the validity of the claim. Therefore, the final answer: {\"answer\": \"affirms\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_28296", + "image": "table_instructV/images/TABMWP_26359.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of shelves | Number of shoeboxes |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | ? |" + }, + { + "from": "human", + "value": "Show the detailed solution to answer the following question. In the end, output your final answer using the JSON format: {\"answer\": \"\"}.\nQuestion: Each shelf has 2 shoeboxes. How many shoeboxes are on 4 shelves?" + }, + { + "from": "gpt", + "value": "Count by twos. Use the chart: there are 8 shoeboxes on 4 shelves.\n\nTherefore, the final answer is {\"answer\": \"8\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_28323", + "image": "table_instructV/images/Rotowire_train_table_1455.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hawks | Atlanta | 111 | 19 | 33 | 29 | 30 | 27 | 42 | 21 | 47 | 100 | 44 | 31 | 25 | | | | |\n| Heat | Miami | 115 | 22 | 30 | 27 | 36 | 27 | 46 | 14 | 50 | 68 | 40 | 30 | 24 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hawks | | | | | | | | | | | | | | | | | | |\n| Jeff Teague | 29 | 23 | 2 | 7 | 9-14 | 64% | 3-7 | 43% | 2-2 | 100% | 1 | 2 | 0 | 0 | 2 | 6 | G | Atlanta |\n| Kyle Korver | 35 | 18 | 1 | 2 | 7-14 | 50% | 4-7 | 57% | 0-0 | 0% | 1 | 2 | 1 | 0 | 1 | 4 | G | Atlanta |\n| Dennis Schroder | 21 | 16 | 3 | 6 | 6-10 | 60% | 2-3 | 67% | 2-2 | 100% | 1 | 5 | 1 | 1 | 2 | 1 | N/A | Atlanta |\n| Al Horford | 38 | 14 | 5 | 3 | 4-11 | 36% | 1-3 | 33% | 5-5 | 100% | 1 | 1 | 2 | 1 | 4 | 2 | C | Atlanta |\n| Mike Scott | 25 | 13 | 6 | 2 | 5-9 | 56% | 3-5 | 60% | 0-0 | 0% | 0 | 2 | 0 | 2 | 4 | 3 | N/A | Atlanta |\n| Paul Millsap | 28 | 12 | 13 | 4 | 4-13 | 31% | 2-5 | 40% | 2-2 | 100% | 0 | 3 | 0 | 3 | 10 | 4 | F | Atlanta |\n| Kent Bazemore | 23 | 7 | 4 | 1 | 3-9 | 33% | 1-3 | 33% | 0-0 | 0% | 2 | 4 | 0 | 0 | 4 | 1 | F | Atlanta |\n| Mike Muscala | 7 | 4 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 2-2 | 100% | 0 | 2 | 0 | 1 | 0 | 2 | N/A | Atlanta |\n| Thabo Sefolosha | 22 | 4 | 5 | 2 | 2-5 | 40% | 0-2 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 5 | 0 | N/A | Atlanta |\n| Tim Hardaway Jr. | 12 | 0 | 2 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Atlanta |\n| Lamar Patterson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Edy Tavares | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Atlanta |\n| Heat | | | | | | | | | | | | | | | | | | |\n| Luol Deng | 38 | 30 | 11 | 0 | 11-17 | 65% | 1-3 | 33% | 7-10 | 70% | 4 | 1 | 0 | 2 | 9 | 1 | F | Miami |\n| Josh McRoberts | 30 | 19 | 6 | 10 | 8-13 | 62% | 3-5 | 60% | 0-0 | 0% | 0 | 1 | 0 | 2 | 4 | 1 | N/A | Miami |\n| Goran Dragic | 33 | 17 | 5 | 10 | 6-14 | 43% | 1-4 | 25% | 4-5 | 80% | 4 | 4 | 0 | 0 | 5 | 2 | G | Miami |\n| Gerald Green | 37 | 14 | 5 | 2 | 6-13 | 46% | 1-3 | 33% | 1-3 | 33% | 2 | 3 | 1 | 1 | 4 | 2 | G | Miami |\n| Justise Winslow | 37 | 13 | 9 | 0 | 5-13 | 39% | 0-3 | 0% | 3-4 | 75% | 2 | 2 | 0 | 3 | 6 | 2 | F | Miami |\n| Josh Richardson | 20 | 7 | 1 | 0 | 3-4 | 75% | 1-1 | 100% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 2 | N/A | Miami |\n| Amar'e Stoudemire | 19 | 6 | 6 | 1 | 2-6 | 33% | 0-0 | 0% | 2-4 | 50% | 0 | 1 | 0 | 2 | 4 | 0 | C | Miami |\n| Udonis Haslem | 12 | 6 | 3 | 1 | 2-2 | 100% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 3 | 1 | N/A | Miami |\n| Beno Udrih | 15 | 3 | 0 | 3 | 1-6 | 17% | 1-1 | 100% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 1 | N/A | Miami |\n| Dwyane Wade | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |\n| Hassan Whiteside | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Miami |" + }, + { + "from": "human", + "value": "Examine the tables showing the statistics of an NBA basketball game played by Hawks and Heat on 19/02/2016. Use the information to compose an in-depth summary of the game's events." + }, + { + "from": "gpt", + "value": "The shorthanded Miami Heat (30-24) defeated the division-rival Atlanta Hawks (31-25), 115-111, in the first game back from the All-Star break for both teams. Miami fans were dealt a shocking blow over All-Star weekend when it was revealed that veteran power forward Chris Bosh is suffering from blood clots in his lower leg. Bosh sat out the end of the 2014-15 season with blood clots which spread from his calf to his lungs. Guard Dwyane Wade, however, has assured fans that the forward 's current situation is less severe than his previous ailments. Bosh has announced plans to take blood thinners in hopes of resuming play this season. Despite the star 's absence, Miami was able to advance in the standings on Friday with a big win over Atlanta. Small forward Luol Deng stepped up with a season-high 30 points, also tallying 11 rebounds and stealing the ball four times. Bosh 's fill-in, Josh McRoberts, also came up huge for the Heat, scoring 19 points and dishing out 10 assists. Despite allowing the Hawks to score in triple-digits, Miami played pesky defense, forcing Atlanta to turn the ball over 21 times. Starting center Hassan Whiteside also missed the contest due to an NBA-issued one-game suspension for a flagrant foul on San Antonio 's Boban Marjanovic. Whiteside has accepted the penalty, telling the media that he knows that `` actions like that kill my career. '' The Hawks, meanwhile, were a team surrounded by trade tumors before Thursday 's deadline. Despite finishing first in the East in 2014-15, Friday 's loss has dropped Atlanta to fifth in the East this season. Despite the underwhelming start, Atlanta opted not to make any major deadline moves. Point guard Jeff Teague, whose name was frequently brought up in trade tumors, led the team with 23 points against the Heat. Veteran All-Star Al Horford was another point of discussion in trade talks ; Horford posted 14 points, five rebounds, three assists, two blocks, and a steal on Friday. Both teams will host games on Saturday : the Hawks against the Bucks, and the Heat against the Wizards." + } + ] + }, + { + "id": "table_instructV_multi_round_28414", + "image": "table_instructV/images/Rotowire_train_table_2988.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pistons | Detroit | 116 | 30 | 29 | 23 | 34 | 33 | 56 | 14 | 51 | 78 | 57 | 31 | 49 | | | | |\n| Hornets | Charlotte | 77 | 10 | 24 | 20 | 23 | 16 | 33 | 9 | 34 | 66 | 27 | 33 | 47 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pistons | | | | | | | | | | | | | | | | | | |\n| Jodie Meeks | 27 | 24 | 1 | 0 | 8-12 | 67% | 4-7 | 57% | 4-5 | 80% | 3 | 2 | 0 | 0 | 1 | 1 | N/A | Detroit |\n| Greg Monroe | 33 | 17 | 9 | 4 | 4-10 | 40% | 0-0 | 0% | 9-10 | 90% | 2 | 0 | 1 | 1 | 8 | 1 | F | Detroit |\n| Anthony Tolliver | 19 | 17 | 4 | 0 | 6-7 | 86% | 5-6 | 83% | 0-0 | 0% | 0 | 2 | 0 | 1 | 3 | 5 | N/A | Detroit |\n| Andre Drummond | 32 | 15 | 19 | 4 | 7-12 | 58% | 0-0 | 0% | 1-3 | 33% | 0 | 1 | 2 | 5 | 14 | 4 | C | Detroit |\n| Shawne Williams | 8 | 10 | 1 | 0 | 4-6 | 67% | 2-3 | 67% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 2 | N/A | Detroit |\n| Kentavious Caldwell-Pope | 28 | 10 | 6 | 1 | 4-9 | 44% | 2-4 | 50% | 0-0 | 0% | 1 | 3 | 0 | 0 | 6 | 1 | G | Detroit |\n| John Lucas III | 18 | 9 | 5 | 6 | 4-8 | 50% | 1-1 | 100% | 0-0 | 0% | 0 | 2 | 0 | 1 | 4 | 1 | N/A | Detroit |\n| Quincy Miller | 27 | 6 | 4 | 3 | 2-7 | 29% | 2-5 | 40% | 0-0 | 0% | 0 | 1 | 1 | 1 | 3 | 4 | N/A | Detroit |\n| Reggie Jackson | 30 | 5 | 4 | 13 | 1-7 | 14% | 0-1 | 0% | 3-3 | 100% | 0 | 2 | 0 | 2 | 2 | 3 | G | Detroit |\n| Cartier Martin | 3 | 2 | 0 | 2 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Detroit |\n| Joel Anthony | 3 | 1 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Detroit |\n| Caron Butler | 10 | 0 | 2 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 1 | F | Detroit |\n| Tayshaun Prince | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Noah Vonleh | 29 | 16 | 12 | 0 | 6-11 | 55% | 1-2 | 50% | 3-6 | 50% | 1 | 2 | 0 | 4 | 8 | 2 | N/A | Charlotte |\n| Gerald Henderson | 26 | 14 | 2 | 2 | 6-16 | 38% | 0-0 | 0% | 2-3 | 67% | 3 | 1 | 0 | 0 | 2 | 2 | G | Charlotte |\n| Brian Roberts | 20 | 11 | 2 | 3 | 3-8 | 38% | 2-2 | 100% | 3-5 | 60% | 1 | 0 | 0 | 0 | 2 | 0 | N/A | Charlotte |\n| Jeff Taylor | 25 | 10 | 2 | 0 | 3-7 | 43% | 0-0 | 0% | 4-5 | 80% | 0 | 2 | 0 | 0 | 2 | 0 | F | Charlotte |\n| Kemba Walker | 31 | 7 | 1 | 7 | 2-11 | 18% | 1-3 | 33% | 2-4 | 50% | 2 | 1 | 0 | 0 | 1 | 0 | G | Charlotte |\n| Bismack Biyombo | 29 | 5 | 4 | 0 | 2-4 | 50% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 1 | 0 | 4 | 4 | C | Charlotte |\n| Marvin Williams | 19 | 4 | 3 | 1 | 1-3 | 33% | 0-1 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 3 | 2 | F | Charlotte |\n| Jason Maxiell | 19 | 4 | 4 | 0 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 2 | 2 | 0 | N/A | Charlotte |\n| PJ Hairston | 14 | 4 | 0 | 1 | 1-5 | 20% | 0-3 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Charlotte |\n| Troy Daniels | 28 | 2 | 3 | 2 | 1-9 | 11% | 0-4 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 3 | 2 | N/A | Charlotte |\n| Lance Stephenson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Al Jefferson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Mo Williams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |" + }, + { + "from": "human", + "value": "Based on the shown data records of an NBA game which took place on 2015-04-12 between Pistons and Hornets, craft a detailed narrative that encapsulates the game's highlights and overall performance." + }, + { + "from": "gpt", + "value": "The Detroit Pistons (31-49) defeated the Charlotte Hornets (33-47) 116-77 on Sunday in Detroit. The Pistons opened up the game strong, starting on a 12-2 run in the first six minutes and winning the first quarter 30-10. From there on out, they never lost control. Jodie Meeks led the way scoring for Detroit, posting a game-high 24 points on 8-of-12 shooting in 27 minutes off the bench. After a rough stretch to start the month, Meeks has picked up his production off the bench as of late, averaging 17 points in his last three outings. Andre Drummond posted a monster double-double in the winning effort of 15 points (7-12 FG) and 19 rebounds in 32 minutes, while Greg Monroe came up a rebound shy of a double-double of his own, posting 17 points (4-10 FG. 9-10 FT), nine rebounds and four assists in 33 minutes. Reggie Jackson struggled shooting the ball, going just 1-of-7 from the field and scoring five points, but he was still able to dish out 13 assists in 30 minutes. The Pistons recorded an efficient 33 assists on 41 made field goals to just 14 turnovers and outrebounded the Hornets 56-33. At one point, Charlotte was well in the playoff race, but have consistently fallen towards the bottom of the Eastern Conference since then. Four players scored in double figures, with Noah Vonleh leading the way in one of his best performances of the season, scoring 16 points (6-11 FG) and 12 rebounds in 29 minutes off the bench. Gerald Hendersen was not far behind, scoring 14 points on 6-of-16 shooting in 26 minutes, while Brian Roberts (11) and Jeff Taylor (10) round out the four Hornets who scored in double figures. Kemba Walker had a very poor shooting performance, going just 2-of-11 from the field and recording seven points and seven assists in 31 minutes. Up next, the Pistons will head to Cleveland to play the Cavaliers on Monday, while the Hornets will travel back home Monday to go up against the Rockets." + } + ] + }, + { + "id": "table_instructV_multi_round_28515", + "image": "table_instructV/images/ToTTo_train_table_8908.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Treaty | Year concluded | Topic | UN | Non-UN | States | Other | Total | Non-parties |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Vienna Convention for the Protection of the Ozone Layer | 1985 | Environment (ozone depletion) | 193 | 3 (COK VAT NIU) | 196 | 1 (EU) | 197 | PSE |\n| Montreal Protocol | 1987 | Environment (ozone depletion) | 193 | 3 (COK VAT NIU) | 196 | 1 (EU) | 197 | PSE |\n| UN Framework Convention on Climate Change | 1992 | Environment (climate change) | 193 | 3 (COK NIU PSE) | 196 | 1 (EU) | 197 | VAT |\n| UN Convention to Combat Desertification | 1994 | Environment (desertification) | 193 | 3 (COK NIU PSE) | 196 | 1 (EU) | 197 | VAT |\n| Geneva Conventions: First, Second, Third, Fourth | 1949 | International humanitarian law | 193 | 3 (COK VAT PSE) | 196 | 0 | 196 | NIU |\n| Convention on the Rights of the Child | 1989 | Human rights | 192 | 4 (COK VAT NIU PSE) | 196 | 0 | 196 | USA |\n| Convention on Biological Diversity | 1992 | Environment (species preservation; sustainable development) | 192 | 3 (COK NIU PSE) | 195 | 1 (EU) | 196 | VAT, USA |\n| Constitution of the United Nations Educational, Scientific and Cultural Organisation | 1945 | Organizational (UNESCO); education; science; culture | 192 | 3 (COK NIU PSE) | 195 | 0 | 195 | VAT, LIE |\n| Constitution of the Food and Agriculture Organization | 1945 | Organizational (FAO); agriculture; food | 192 | 2 (COK NIU) | 194 | 1 (European Union) | 195 | VAT, LIE, PSE |\n| Constitution of the World Health Organization | 1946 | Organizational (WHO); health | 191 | 2 (COK NIU) | 193 | 0 | 193 | VAT, LIE, PSE |\n| United Nations Charter | 1945 | Organizational (UN); pacific settlement of disputes | 193 | 0 | 193 | 0 | 193 | COK, VAT, NIU, PSE |\n| Constitution and Convention of the International Telecommunication Union | 1865/1992 | Organizational (ITU); telecommunications | 192 | 1 (VAT) | 193 | 0 | 193 | COK, NIU, PLW, PSE |\n| Convention concerning the Protection of the World Cultural and Natural Heritage | 1972 | Cultural and natural heritage | 189 | 4 (COK VAT NIU PSE) | 193 | 0 | 193 | LIE, NRU, SOM, TUV |\n| Chemical Weapons Convention | 1992 | Organizational (OPCW); international humanitarian law; arms control | 189 | 4 (COK VAT NIU PSE) | 193 | 0 | 193 | EGY, ISR, PRK, SSD |\n| Kyoto Protocol | 1997 | Environment (climate change) | 189 | 2 (COK NIU) | 191 | 1 (EU) | 192 | AND, CAN, VAT, PSE, SSD, USA |\n| Chicago Convention on International Civil Aviation | 1944 | Organizational (ICAO); air transport | 191 | 1 (COK) | 192 | 0 | 192 | DMA, VAT, LIE, NIU, PSE |\n| Vienna Convention on Diplomatic Relations | 1961 | Privileges and immunities; diplomatic relations | 190 | 2 (VAT PSE) | 192 | 0 | 192 | COK, NIU, PLW, SLB, SSD |\n| WIPO Convention | 1967 | Organizational (WIPO); intellectual property | 188 | 3 (COK, VAT, NIU) | 191 | 0 | 191 | FSM, NRU, PLW, PSE, SLB, SSD |\n| Treaty on the Non-Proliferation of Nuclear Weapons | 1968 | Arms control | 188 | 2 (PSE, VAT) | 190 | 0 | 190 | COK, IND, ISR, NIU, PRK, PAK, SSD |\n| UN Convention Against Illicit Traffic in Narcotic Drugs and Psychotropic Substances | 1988 | Drug control | 185 | 4 (COK VAT NIU PSE) | 189 | 1 (EU) | 190 | GNQ, KIR, PLW, PNG, SLB, SOM, SSD, TUV |\n| Convention on the Elimination of All Forms of Discrimination against Women | 1979 | Human rights | 187 | 2 (COK PSE) | 189 | 0 | 189 | VAT, IRN, PLW, NIU, SOM, SDN, TON, USA |\n| Articles of Agreement of the International Bank for Reconstruction and Development | 1944 | Organizational (IBRD); international development | 188 | 1 (UNK) | 189 | 0 | 189 | AND, COK, CUB, VAT, LIE, MCO, NIU, PRK, PSE |\n| United Nations Convention against Transnational Organized Crime | 2000 | Organized crime; international criminal law | 184 | 4 (COK VAT NIU PSE) | 188 | 1 (EU) | 189 | BTN, COG, IRN, PLW, PNG, SLB, SOM, SSD, TUV |\n| Articles of Agreement of the International Monetary Fund | 1944 | Organizational (IMF); international development | 188 | 1 (UNK) | 189 | 0 | 189 | AND, COK, CUB, VAT, LIE, MCO, NIU, PRK, PSE |\n| Convention for the Suppression of Unlawful Acts against the Safety of Civil Aviation | 1971 | Aviation; terrorism | 186 | 2 (COK NIU) | 188 | 0 | 188 | TLS, ERI, VAT, KIR, PSE, SMR, SOM, SSD, TUV |\n| International Convention for the Suppression of the Financing of Terrorism | 1999 | Terrorism | 185 | 3 (COK VAT NIU) | 188 | 0 | 188 | BDI, TCD, ERI, IRN, LBN, PSE, SOM, SSD, TUV |\n| Constitution of the Universal Postal Union | 1964 | Organizational (UPU); postal | 186 | 1 (VAT) | 187 | 0 | 187 | AND, DOM, HND, MHL, FSM, PLW, PSE, SDN |\n| Constitution of the International Labour Organization | 1919/1945 | Organizational (ILO); labour | 186 | 1 (COK) | 187 | 0 | 187 | AND, BHU, VAT, LIE, FSM, MCO, NIU, PRK, NRU, PSE |\n| International Convention against Doping in Sport | 2005 | Doping in sport | 181 | 2 (COK PSE) | 187 | 0 | 187 | |\n| Basel Convention | 1992 | Environmental (hazardous waste disposal) | 184 | 2 (COK PSE) | 186 | 1 (EU) | 187 | TLS, FJI, GRD, HTI, VAT, NIU, SMR, SLB, SSD, TUV, USA |\n| Tokyo Convention | 1969 | Terrorism, air transport | 184 | 2 (COK NIU) | 186 | 0 | 186 | DMA, TLS, ERI, VAT, KIR, FSM, PSE, KNA, SOM, SSD, TUV |\n| Single Convention on Narcotic Drugs | 1961 | Drug control | 184 | 2 (VAT PSE) | 186 | 0 | 186 | TCD, COK, TLS, GNQ, KIR, NRU, WSM, SSD, TUV, VUT |\n| United Nations Convention against Corruption | 2003 | International criminal law | 181 | 4 (COK VAT NIU PSE) | 185 | 1 (EU) | 186 | |\n| Hague Hijacking Convention | 1970 | Terrorism, air transport | 183 | 2 (COK NIU) | 185 | 0 | 185 | BDI, TLS, ERI, VAT, KIR, FSM, PSE, SMR, SLB, SOM, SSD, TUV |\n| Articles of Agreement of the International Finance Corporation | 1955 | Organizational (IFC); international development | 183 | 1 (UNK) | 184 | 0 | 184 | AND, BRN, COK, CUB, VAT, LIE, MCO, NRU, NIU, PRK, PSE, SMR, VCT, TUV |\n| Convention on Psychotropic Substances | 1971 | Drug control | 182 | 2 (VAT PSE) | 184 | 0 | 184 | COK, TLS, GNQ, HTI, KIR, LBR, NRU, WSM, SLB, SSD, TUV, VUT |\n| Paris Agreement | 2015 | Environment (climate change) | 180 | 3 (COK NIU PSE) | 183 | 1 (EU) | 184 | |\n| CITES | 1973 | Environmental (species preservation) | 182 | 0 | 182 | 1 (EU) | 183 | |\n| International Plant Protection Convention | 1951 | Agricultural (pest protection) | 180 | 2 (COK NIU) | 182 | 1 (EU) | 183 | |\n| Worst Forms of Child Labour Convention | 1999 | Human rights; labour | 181 | 1 (COK) | 182 | 0 | 182 | |\n| Biological Weapons Convention | 1972 | International humanitarian law; arms control | 178 | 4 (COK VAT NIU PSE) | 182 | 0 | 182 | |\n| Stockholm Convention on Persistent Organic Pollutants | 2001 | Environmental (persistent organic pollutants) | 178 | 3 (COK NIU PSE) | 181 | 1 (EU) | 182 | |\n| Convention establishing the Multilateral Investment Guarantee Agency | 1985 | Organizational (MIGA); international development | 180 | 1 (UNK) | 181 | 0 | 181 | |\n| WHO Framework Convention on Tobacco Control | 2003 | Health | 178 | 2 (COK NIU) | 180 | 1 (EU) | 181 | |\n| Vienna Convention on Consular Relations | 1963 | Privileges and immunities; diplomatic relations | 178 | 2 (VAT PSE) | 180 | 0 | 180 | |\n| Convention on the Prevention and Punishment of Crimes against Internationally Protected Persons, including Diplomatic Agents | 1973 | Anti-terrorism; privileges and immunities; diplomatic relations | 177 | 3 (VAT NIU PSE) | 180 | 0 | 180 | |\n| International Convention on the Elimination of All Forms of Racial Discrimination | 1969 | Human rights | 177 | 2 (VAT PSE) | 179 | 0 | 179 | |\n| Forced Labour Convention | 1930 | Human rights; labour | 177 | 1 (COK) | 178 | 0 | 178 | |\n| Convention for the Safeguarding of the Intangible Cultural Heritage | 2003 | Cultural heritage | 177 | 1 (COK) | 178 | 0 | 178 | |\n| Convention on the Prevention and Punishment of Crimes against Internationally Protected Persons, including Diplomatic Agents | 1973 | Terrorism; privileges and immunities; diplomatic relations; international criminal law | 175 | 2 (VAT NIU) | 177 | 0 | 177 | |\n| Paris Convention for the Protection of Industrial Property | 1883 | Intellectual property | 176 | 1 (VAT) | 177 | 0 | 177 | |\n| Convention on the Rights of Persons with Disabilities | 2006 | Human rights | 174 | 2 (COK PSE) | 176 | 1 (EU) | 177 | |\n| Agreement establishing the International Fund for Agricultural Development | 1976 | Organizational (IFAD); development | 174 | 2 (COK NIU) | 176 | 0 | 176 | |\n| International Convention against the Taking of Hostages | 1979 | Terrorism | 175 | 1 (NIU) | 176 | 0 | 176 | |\n| Berne Convention for the Protection of Literary and Artistic Works | 1886 | Intellectual property (copyright) | 173 | 3 (COK VAT NIU) | 176 | 0 | 176 | |\n| Convention establishing a Customs Co-operation Council | 1950 | Organizational (WCO); customs | 175 | 0 | 175 | 0 | 175 | |\n| Protocol for the Suppression of Unlawful Acts of Violence at Airports serving International Civil Aviation | 1988 | aviation; terrorism | 173 | 2 (COK NIU) | 175 | 0 | 175 | |\n| Discrimination (Employment and Occupation) Convention | 1958 | Human rights; labour | 175 | 0 | 175 | 0 | 175 | |\n| Optional Protocol to the Convention on the Rights of the Child on the Sale of Children, Child Prostitution and Child Pornography | 2000 | Human rights | 173 | 2 (VAT PSE) | 175 | 0 | 175 | |\n| Protocol I | 1977 | International humanitarian law | 171 | 3 (COK VAT PSE) | 174 | 0 | 174 | |\n| Convention on the International Maritime Organization | 1948 | Organizational (IMO); admiralty law; law of the sea | 173 | 1 (COK) | 174 | 0 | 174 | |\n| Articles of Agreement of the International Development Association | 1960 | Organizational (IDA); international development | 172 | 1 (UNK) | 173 | 0 | 173 | |\n| Abolition of Forced Labour Convention | 1957 | Human rights; labour | 172 | 1 (COK) | 173 | 0 | 173 | |\n| Equal Remuneration Convention | 1951 | Human rights; labour | 173 | 0 | 173 | 0 | 173 | |\n| Protocol to Prevent, Suppress and Punish Trafficking in Persons, especially Women and Children | 2000 | Human rights; international criminal law (human trafficking) | 171 | 1 (PSE) | 172 | 1 (EU) | 173 | |\n| International Covenant on Civil and Political Rights | 1966 | Human rights | 171 | 1 (PSE) | 172 | 0 | 172 | |\n| Statute of the International Atomic Energy Agency | 1956 | Peaceful use of nuclear energy | 170 | 1 (VAT) | 171 | 0 | 171 | |\n| Cartagena Protocol on Biosafety | 2000 | Environment (species preservation; biological technology) | 168 | 2 (NIU PSE) | 170 | 1 (EU) | 171 | |\n| Convention on Wetlands of International Importance especially as Waterfowl Habitat | 1971 | Environment (species preservation; waterfowl; wetlands) | 170 | 0 | 170 | 0 | 170 | |\n| International Convention for the Suppression of Terrorist Bombings | 1997 | Terrorism | 169 | 1 (NIU) | 170 | 0 | 170 | |" + }, + { + "from": "human", + "value": "Give you a Wikipedia table titled 'List of treaties by number of parties'. Its section title is 'List of treaties by number of parties'. Table-related text is: Below is the list of treaties by number of parties. Only treaties with a minimum of 170 parties are included.\nBased on the table and above metadata, generate a one-sentence description about highlighted table cells." + }, + { + "from": "gpt", + "value": "Vienna Convention for the Protection of the Ozone Layer is one of the most successful treaties, having been ratified by 197 states (all United Nations members as well as the Niue and the Cook Islands) as well as the European Union." + } + ] + }, + { + "id": "table_instructV_multi_round_28567", + "image": "table_instructV/images/Rotowire_train_table_2451.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Lakers | Los Angeles | 93 | 18 | 34 | 25 | 16 | 17 | 41 | 9 | 36 | 81 | 16 | 9 | 35 | | | | |\n| Kings | Sacramento | 112 | 28 | 29 | 29 | 26 | 28 | 59 | 14 | 48 | 71 | 30 | 18 | 23 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Lakers | | | | | | | | | | | | | | | | | | |\n| Brandon Bass | 30 | 18 | 7 | 2 | 7-12 | 58% | 0-0 | 0% | 4-4 | 100% | 0 | 1 | 3 | 4 | 3 | 3 | N/A | Los Angeles |\n| Kobe Bryant | 31 | 15 | 4 | 3 | 4-13 | 31% | 2-7 | 29% | 5-5 | 100% | 1 | 2 | 0 | 2 | 2 | 4 | F | Los Angeles |\n| Lou Williams | 33 | 15 | 2 | 3 | 4-10 | 40% | 0-4 | 0% | 7-8 | 88% | 1 | 0 | 0 | 0 | 2 | 2 | G | Los Angeles |\n| Jordan Clarkson | 35 | 14 | 5 | 1 | 5-15 | 33% | 0-2 | 0% | 4-6 | 67% | 1 | 2 | 0 | 1 | 4 | 1 | G | Los Angeles |\n| D'Angelo Russell | 26 | 14 | 2 | 5 | 5-15 | 33% | 2-6 | 33% | 2-2 | 100% | 0 | 1 | 0 | 0 | 2 | 2 | N/A | Los Angeles |\n| Roy Hibbert | 16 | 6 | 2 | 0 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 3 | 1 | 1 | 1 | 1 | 5 | C | Los Angeles |\n| Julius Randle | 31 | 6 | 12 | 2 | 2-11 | 18% | 0-0 | 0% | 2-4 | 50% | 0 | 1 | 1 | 4 | 8 | 1 | F | Los Angeles |\n| Anthony Brown | 17 | 3 | 3 | 0 | 1-4 | 25% | 0-3 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 3 | 2 | N/A | Los Angeles |\n| Ryan Kelly | 17 | 2 | 3 | 1 | 1-5 | 20% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 2 | N/A | Los Angeles |\n| Robert Sacre | 2 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Los Angeles |\n| Marcelo Huertas | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Los Angeles |\n| Tarik Black | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Nick Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Kings | | | | | | | | | | | | | | | | | | |\n| DeMarcus Cousins | 35 | 36 | 16 | 3 | 13-22 | 59% | 0-0 | 0% | 10-12 | 83% | 1 | 2 | 1 | 6 | 10 | 5 | F | Sacramento |\n| Rudy Gay | 33 | 16 | 6 | 3 | 6-9 | 67% | 2-3 | 67% | 2-4 | 50% | 2 | 2 | 6 | 0 | 6 | 4 | F | Sacramento |\n| Willie Cauley-Stein | 29 | 12 | 10 | 1 | 5-8 | 63% | 0-0 | 0% | 2-4 | 50% | 2 | 0 | 2 | 4 | 6 | 4 | C | Sacramento |\n| Rajon Rondo | 34 | 11 | 5 | 17 | 5-10 | 50% | 0-1 | 0% | 1-1 | 100% | 0 | 3 | 0 | 2 | 3 | 0 | G | Sacramento |\n| Darren Collison | 21 | 10 | 2 | 0 | 3-5 | 60% | 1-2 | 50% | 3-4 | 75% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | Sacramento |\n| Omri Casspi | 30 | 9 | 9 | 0 | 3-11 | 27% | 1-7 | 14% | 2-3 | 67% | 0 | 3 | 1 | 0 | 9 | 1 | N/A | Sacramento |\n| Ben McLemore | 18 | 6 | 2 | 0 | 3-6 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 5 | G | Sacramento |\n| Marco Belinelli | 19 | 6 | 1 | 3 | 2-10 | 20% | 2-5 | 40% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 0 | N/A | Sacramento |\n| Kosta Koufos | 13 | 4 | 7 | 0 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 2 | 2 | 5 | 3 | N/A | Sacramento |\n| Quincy Acy | 2 | 2 | 0 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Sacramento |\n| James Anderson | 2 | 0 | 1 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 0 | N/A | Sacramento |\n| Seth Curry | 2 | 0 | 0 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Sacramento |\n| Caron Butler | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |" + }, + { + "from": "human", + "value": "Examine the data records in this picture, which depict an NBA game held on January 20, 2016. Use these data statistics to generate a comprehensive summary of the game." + }, + { + "from": "gpt", + "value": "The Sacramento Kings (18-23) defeated the Los Angeles Lakers (9-35) 112-93 at Staples Center on Wednesday. The Kings improved to 6-4 over their last 10 games, as DeMarcus Cousins and Rajon Rondo continue to mesh in coach George Karl’s system. While the Kings are still five games under .500 on the season, they are still in playoff contention and trail the Trail Blazers by two games for the 8-seed in the Western Conference. DeMarcus Cousins was an unstoppable force in the win, as the Lakers had no way of matching up against him. Cousins finished with 36 points, 16 rebounds and five assists on 13-of-22 shooting. Many of Cousins buckets came off of Rajon Rondo’s supreme court vision, in which the point guard dished out a whopping 17 assists. The Kentucky product is back on form halfway through the season after a mishap in Dallas last year, and over his last 10 games, Rondo is averaging 12 assists. Sacramento was efficient from the midrange and in the restricted area as shown by their 48 percent shooting as a unit. The Kings will host the Atlanta Hawks (26-17) on Thursday. The Lakers woes continued as they fell short of grabbing their 10th win of the season and are now owners of a four game losing streak. While they were able to improve upon their shot selection, the shots simply did not fall in their favor. Roy Hibbert was ineffective as a rim protector when matched up against Cousins, but he is not the only Lakers player to blame, considering Cousins trucked everybody in his path. Kobe Bryant (achilles) played 31 minutes in front of the hometown crowd, and as we are inching closer and closer to a Kobe-less Lakers, the precious moments of a truly great player become a little more heartwarming, or sickening, depending on how you look at it. Bryant scored 15 points on 4-of-13 shooting, while the backcourt duo of Jordan Clarkson and D’Angelo Russell combined for 28 points and six assists. It was rewarding to see D’Angelo Russell run the offense for most of the 3rd quarter, and maybe Byron Scott will lean towards developing the youth more and focusing on Kobe a little less. Brandon Bass had one of his better games of the season and contributed 18 points and seven rebounds off the bench. The Lakers will look to bust out of their slump when they host the San Antonio Spurs (36-6) on Friday." + } + ] + }, + { + "id": "table_instructV_multi_round_28598", + "image": "table_instructV/images/Rotowire_train_table_196.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Thunder | Oklahoma City | 121 | 40 | 27 | 25 | 29 | 16 | 39 | 17 | 52 | 77 | 40 | 35 | 29 | | | | |\n| Trail Blazers | Portland | 126 | 29 | 32 | 38 | 27 | 24 | 36 | 11 | 55 | 78 | 48 | 27 | 35 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Russell Westbrook | 36 | 58 | 3 | 9 | 21-39 | 54% | 3-9 | 33% | 13-16 | 81% | 3 | 4 | 1 | 1 | 2 | 4 | G | Oklahoma City |\n| Victor Oladipo | 25 | 16 | 5 | 0 | 5-9 | 56% | 4-5 | 80% | 2-2 | 100% | 0 | 1 | 0 | 0 | 5 | 3 | G | Oklahoma City |\n| Enes Kanter | 18 | 11 | 7 | 1 | 5-6 | 83% | 0-0 | 0% | 1-1 | 100% | 0 | 4 | 0 | 2 | 5 | 1 | N/A | Oklahoma City |\n| Andre Roberson | 35 | 9 | 6 | 0 | 4-7 | 57% | 1-4 | 25% | 0-0 | 0% | 0 | 1 | 0 | 2 | 4 | 4 | F | Oklahoma City |\n| Domantas Sabonis | 21 | 8 | 4 | 0 | 3-7 | 43% | 0-1 | 0% | 2-2 | 100% | 0 | 1 | 0 | 1 | 3 | 1 | F | Oklahoma City |\n| Alex Abrines | 13 | 5 | 1 | 1 | 2-5 | 40% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Oklahoma City |\n| Steven Adams | 29 | 4 | 3 | 0 | 1-1 | 100% | 0-0 | 0% | 2-5 | 40% | 0 | 0 | 0 | 0 | 3 | 3 | C | Oklahoma City |\n| Jerami Grant | 11 | 3 | 0 | 0 | 1-3 | 33% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Oklahoma City |\n| Taj Gibson | 23 | 3 | 8 | 1 | 1-2 | 50% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 0 | 5 | 3 | 3 | N/A | Oklahoma City |\n| Norris Cole | 6 | 2 | 0 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 0 | N/A | Oklahoma City |\n| Doug McDermott | 14 | 2 | 0 | 1 | 0-1 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Oklahoma City |\n| Semaj Christon | 10 | 0 | 2 | 2 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 1 | 1 | 2 | N/A | Oklahoma City |\n| Nick Collison | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Trail Blazers | | | | | | | | | | | | | | | | | | |\n| Allen Crabbe | 28 | 23 | 4 | 2 | 7-10 | 70% | 5-7 | 71% | 4-4 | 100% | 0 | 1 | 0 | 1 | 3 | 3 | N/A | Portland |\n| Damian Lillard | 36 | 22 | 3 | 8 | 8-17 | 47% | 2-6 | 33% | 4-5 | 80% | 1 | 1 | 0 | 1 | 2 | 0 | G | Portland |\n| CJ McCollum | 37 | 21 | 1 | 0 | 8-20 | 40% | 1-3 | 33% | 4-4 | 100% | 0 | 1 | 0 | 0 | 1 | 2 | G | Portland |\n| Jusuf Nurkic | 25 | 17 | 9 | 4 | 5-12 | 42% | 0-1 | 0% | 7-8 | 88% | 1 | 4 | 0 | 2 | 7 | 5 | C | Portland |\n| Al-Farouq Aminu | 30 | 12 | 7 | 0 | 5-6 | 83% | 1-1 | 100% | 1-2 | 50% | 1 | 2 | 3 | 1 | 6 | 2 | N/A | Portland |\n| Meyers Leonard | 20 | 12 | 1 | 1 | 5-8 | 63% | 2-4 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 4 | N/A | Portland |\n| Noah Vonleh | 22 | 11 | 5 | 2 | 5-6 | 83% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 4 | 1 | 4 | F | Portland |\n| Maurice Harkless | 29 | 6 | 4 | 2 | 3-5 | 60% | 0-1 | 0% | 0-2 | 0% | 2 | 0 | 2 | 3 | 1 | 2 | F | Portland |\n| Shabazz Napier | 13 | 2 | 2 | 5 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 0 | 2 | 1 | N/A | Portland |\n| Pat Connaughton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Jake Layman | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Ed Davis | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |" + }, + { + "from": "human", + "value": "This image shows the box-score table and the line-score table of an NBA game between Thunder and Trail Blazers on March 07, 2017. Write a detailed game summary based on the data statistics." + }, + { + "from": "gpt", + "value": "Russell Westbrook 's career-high 58 points, which he partly accomplished through a spectacular 21-for-39 tally from the field, was n't enough against a balanced Portland squad that saw seven players hit double digits in the scoring column. The Blazers' second unit was particularly key, combining for 49 points. Reserve Allen Crabbe 's 23 points over 28 minutes paced Portland. Damian Lillard followed with 22 points, while C.J. McCollum poured in 21. Jusuf Nurkic contributed 17 points and eight boards, and Al-Farouq Aminu provided 12 points, seven rebounds, three blocks and one steal. Meyers Leonard matched Aminu 's point total and Noah Vonleh chipped in with 11. Victor Oladipo was a distant second on OKC with 16 points. Enes Kanter, the only other player in double digits, posted 11. Andre Roberson managed nine points, while Domantas Sabonis tallied eight." + }, + { + "from": "human", + "value": "Please read the table in this image and return an HTML-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
TEAM-NAME CITY PTS PTS_QTR1 PTS_QTR2 PTS_QTR3 PTS_QTR4 AST REB TOV FG_PCT FT_PCT FG3_PCT WINS LOSSES
Thunder Oklahoma City 121 40 27 25 29 16 39 17 52 77 40 35 29
Trail Blazers Portland 126 29 32 38 27 24 36 11 55 78 48 27 35
PLAYER_NAME MIN PTS REB AST FG FG_PCT FG3 FG3_PCT FT FT_PCT STL TO BLK OREB DREB PF START_POSITION TEAM_CITY
Thunder
Russell Westbrook 36 58 3 9 21-39 54% 3-9 33% 13-16 81% 3 4 1 1 2 4 G Oklahoma City
Victor Oladipo 25 16 5 0 5-9 56% 4-5 80% 2-2 100% 0 1 0 0 5 3 G Oklahoma City
Enes Kanter 18 11 7 1 5-6 83% 0-0 0% 1-1 100% 0 4 0 2 5 1 N/A Oklahoma City
Andre Roberson 35 9 6 0 4-7 57% 1-4 25% 0-0 0% 0 1 0 2 4 4 F Oklahoma City
Domantas Sabonis 21 8 4 0 3-7 43% 0-1 0% 2-2 100% 0 1 0 1 3 1 F Oklahoma City
Alex Abrines 13 5 1 1 2-5 40% 1-3 33% 0-0 0% 0 0 0 0 1 2 N/A Oklahoma City
Steven Adams 29 4 3 0 1-1 100% 0-0 0% 2-5 40% 0 0 0 0 3 3 C Oklahoma City
Jerami Grant 11 3 0 0 1-3 33% 1-2 50% 0-0 0% 0 1 0 0 0 0 N/A Oklahoma City
Taj Gibson 23 3 8 1 1-2 50% 0-0 0% 1-2 50% 0 2 0 5 3 3 N/A Oklahoma City
Norris Cole 6 2 0 1 1-2 50% 0-0 0% 0-0 0% 0 2 0 0 0 0 N/A Oklahoma City
Doug McDermott 14 2 0 1 0-1 0% 0-0 0% 2-2 100% 0 0 0 0 0 2 N/A Oklahoma City
Semaj Christon 10 0 2 2 0-3 0% 0-1 0% 0-0 0% 1 1 0 1 1 2 N/A Oklahoma City
Nick Collison N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Oklahoma City
Trail Blazers
Allen Crabbe 28 23 4 2 7-10 70% 5-7 71% 4-4 100% 0 1 0 1 3 3 N/A Portland
Damian Lillard 36 22 3 8 8-17 47% 2-6 33% 4-5 80% 1 1 0 1 2 0 G Portland
CJ McCollum 37 21 1 0 8-20 40% 1-3 33% 4-4 100% 0 1 0 0 1 2 G Portland
Jusuf Nurkic 25 17 9 4 5-12 42% 0-1 0% 7-8 88% 1 4 0 2 7 5 C Portland
Al-Farouq Aminu 30 12 7 0 5-6 83% 1-1 100% 1-2 50% 1 2 3 1 6 2 N/A Portland
Meyers Leonard 20 12 1 1 5-8 63% 2-4 50% 0-0 0% 0 0 0 0 1 4 N/A Portland
Noah Vonleh 22 11 5 2 5-6 83% 0-0 0% 1-2 50% 0 1 0 4 1 4 F Portland
Maurice Harkless 29 6 4 2 3-5 60% 0-1 0% 0-2 0% 2 0 2 3 1 2 F Portland
Shabazz Napier 13 2 2 5 1-1 100% 0-0 0% 0-0 0% 2 1 0 0 2 1 N/A Portland
Pat Connaughton N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Portland
Jake Layman N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Portland
Ed Davis N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Portland
" + } + ] + }, + { + "id": "table_instructV_multi_round_28728", + "image": "table_instructV/images/TABMWP_6864.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Number of apartments | Number of light switches |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | ? |" + }, + { + "from": "human", + "value": "Based on the table, solve the following math problem step by step. Provide a concluding answer in a JSON structure, using the format {\"answer\": \"\"}.\nEach apartment has 10 light switches. How many light switches are in 4 apartments? (Unit: light switches)" + }, + { + "from": "gpt", + "value": "Count by tens. Use the chart: there are 40 light switches in 4 apartments.\n\nTherefore, the final answer is {\"answer\": \"40\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_28796", + "image": "table_instructV/images/ToTTo_train_table_17517.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| # | Event Title | Date | Arena | Location |\n| --- | --- | --- | --- | --- |\n| 13 | BRACE 13 | November 19, 2011 | Townsville Entertainment Centre | Townsville, Australia |\n| 12 | BRACE 12 | October 15, 2011 | Derwent Entertainment Centre | Hobart, Australia |\n| 11 | BRACE 11 | September 17, 2011 | Chandler Theatre | Brisbane, Australia |\n| 10 | BRACE 10 | August 27, 2011 | Convention Centre | Canberra, Australia |\n| 9 | BRACE 9 | June 4, 2011 | Townsville Entertainment Centre | Townsville, Australia |\n| 8 | BRACE 8 | April 30, 2011 | Mansfield Tavern | Brisbane, Australia |\n| 7 | BRACE 7 | January 15, 2011 | Convention Centre | Canberra, Australia |" + }, + { + "from": "human", + "value": "Examine the following Wikipedia table, which is titled '2011 in BRACE' and its section is titled 'Events list'. \nSome important table cells are highlighted with a different background color. Please create a single sentence that summarizes the highlighted table cells." + }, + { + "from": "gpt", + "value": "BRACE 10 was an event held on August 27, 2011, at Convention Centre, Canberra, Australia." + } + ] + }, + { + "id": "table_instructV_multi_round_28807", + "image": "table_instructV/images/TAT-QA_64cf85f6-c18e-4d03-8017-c4a77833a092.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| | Year ended June 30, | |\n| --- | --- | --- |\n| (In thousands) | 2019 | 2018 |\n| Audit fees (1) | $4,598 | $4,701 |\n| Audit-related fees (2) | — | — |\n| Tax fees (3) | 108 | 116 |\n| All other fees (4) | 40 | 101 |\n| Total | $4,746 | $4,918 |" + }, + { + "from": "human", + "value": "Analyze the provided table. What is the answer to the upcoming query? Format the ultimate answer as a JSON, using the structure {\"answer\": []}.\nQuestion: In year ended 2019, what is the Audit fees expressed as a percentage of total fees?" + }, + { + "from": "gpt", + "value": "Using the number listed in the table, we have the following computations: 4598/4746 = 96.88\n\nAs a result, the final answer is {\"answer\": [\"96.88\"]}." + }, + { + "from": "human", + "value": "In tables, merged cells are often found and we can denote them as JSON {'top-left':(R1, C1), 'bottom-right':(R2, C2)}, with '(R1, C1)' and '(R2, C2)' indicating the (row_id, column_id) of the top-left and bottom-right cells of the merged region. Please scan the table image provided, find all occurrences of merged cells, and return their coordinates in the stated format. It's important to remember that row and column IDs begin from 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "Read the table to answer the following questions. Format the ultimate answer as a JSON, using the structure {\"answer\": []}.\nWhat is the Tax fees for fiscal year 2019 expressed as a percentage of total fees?" + }, + { + "from": "gpt", + "value": "Based on the table, we need to conduct the following computations:\n108/4746 = 2.28\nTherefore, the final answer: {\"answer\": [\"2.28\"]}." + }, + { + "from": "human", + "value": "What is the average annual total Fees for Fiscal year 2019 and 2018?\nAnswer the above question based on the provided table. Return the final result as JSON in the format {\"answer\": []}." + }, + { + "from": "gpt", + "value": "Based on the given table:\n(4746+4918)/2 = 4832\nTherefore, the answer is {\"answer\": [\"4832\"]}." + }, + { + "from": "human", + "value": "Refer to the table to answer the subsequent question briefly. Present the final answer in a JSON format {\"answer\": []}.\nWhat units does the table use?" + }, + { + "from": "gpt", + "value": "Based on the table information, the answer is {\"answer\": [\"thousands\"]}." + } + ] + }, + { + "id": "table_instructV_multi_round_28868", + "image": "table_instructV/images/ToTTo_train_table_11783.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Particulars | Total | Male | Female |\n| --- | --- | --- | --- |\n| Total No. of Houses | 118 | | |\n| Population | 576 | 285 | 291 |\n| Child (0-6) | 52 | 23 | 29 |\n| Schedule Caste | 269 | 129 | 140 |\n| Schedule Tribe | 0 | 0 | 0 |\n| Literacy | 62.98 % | 68.32 % | 57.63 % |\n| Total Workers | 231 | 170 | 61 |\n| Main Worker | 221 | 0 | 0 |\n| Marginal Worker | 10 | 5 | 5 |" + }, + { + "from": "human", + "value": "Examine the following Wikipedia table, which is titled 'Phiali' and its section is titled 'Population data'. \nSome important table cells are highlighted with a different background color. Please create a single sentence that summarizes the highlighted table cells." + }, + { + "from": "gpt", + "value": "Literacy rate of Phiali is 62.98%." + }, + { + "from": "human", + "value": "In this task, you are provided with a table image and several target cells. You are required to determine the positions of these cells, which can be represented in the json {'value': '', 'location': (row index, column index)}, with both row indices and column indices start from 1. Denote the location as 'DOES NOT EXIST' if a cell does not exist in the table.\nCell values are shown below:\nCELL VALUE 1: '291',\nCELL VALUE 2: '285',\nCELL VALUE 3: '61',\nCELL VALUE 4: '57.63 %'," + }, + { + "from": "gpt", + "value": "The coordinates of target cells are listed below.\nCELL LOCATION 1: {'value': '291', 'location': (3, 4)}\nCELL LOCATION 2: {'value': '285', 'location': (3, 3)}\nCELL LOCATION 3: {'value': '61', 'location': (8, 4)}\nCELL LOCATION 4: {'value': '57.63 %', 'location': (7, 4)}" + } + ] + }, + { + "id": "table_instructV_multi_round_28873", + "image": "table_instructV/images/ToTTo_train_table_11958.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Event | Performance | Wind | Location | Date |\n| --- | --- | --- | --- | --- |\n| Pentathlon ind | 4464 | | United States Fayetteville, Arkansas, United States | 2013-01-25 |\n| Heptathlon | 6050 | | United States Eugene, Oregon, United States | 2013-06-07 |\n| 200 Metres | 24.31 | 0.6 | United States Columbia, Missouri, United States | 2012-06-07 |\n| 800 Metres | 2:12.05 | | United States Eugene, Oregon, United States | 2013-06-07 |\n| 800 Metres ind | 2:14.05 | | United States Fayetteville, Arkansas, United States | 2013-03-09 |\n| 100 Metres Hurdles | 13.52 | 1.0 | United States Eugene, Oregon, United States | 2013-06-06 |\n| 60 Metres Hurdles ind | 8.45 | | United States Fayetteville, Arkansas, United States | 2013-01-25 |\n| High Jump | 1.89 ind | | United States Fayetteville, Arkansas, United States | 2013-01-25 |\n| Long Jump | 6.05 | 2.0 | United States Eugene, Oregon, United States | 2013-06-07 |\n| Long Jump ind | 6.15 | | United States Fayetteville, Arkansas, United States | 2013-02-22 |\n| Shot Put | 12.89 | | United States Fayetteville, Arkansas, United States | 2012-06-07 |\n| Javelin Throw | 37.37 | | United States Miramar, Florida, United States | 2010-07-11 |" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table and its metadata. You are required to generate a one-sentence description of highlighted table cells. \nTable title: Makeba Alcide\nSection title: Best Performances" + }, + { + "from": "gpt", + "value": "Makeba started the 2013 season with a best of 4464." + } + ] + }, + { + "id": "table_instructV_multi_round_28924", + "image": "table_instructV/images/ToTTo_train_table_25189.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Player | Country | Year(s) won | R1 | R2 | R3 | R4 | Total | To par | Finish |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ernie Els | South Africa | 2002 | 67 | 70 | 68 | 68 | 273 | −7 | 1 |\n| Tiger Woods | United States | 2000, 2005, 2006 | 67 | 67 | 70 | 73 | 277 | −3 | T3 |\n| Mark Calcavecchia | United States | 1989 | 71 | 68 | 69 | 72 | 280 | E | T9 |\n| Louis Oosthuizen | South Africa | 2010 | 72 | 68 | 68 | 73 | 281 | +1 | T19 |\n| Paul Lawrie | Scotland | 1999 | 65 | 71 | 76 | 72 | 284 | +4 | T34 |\n| Pádraig Harrington | Ireland | 2007, 2008 | 70 | 72 | 70 | 73 | 285 | +5 | T39 |\n| Tom Watson | United States | 1975, 1977, 1980, 1982, 1983 | 71 | 72 | 76 | 73 | 292 | +12 | T77 |\n| John Daly | United States | 1995 | 72 | 71 | 77 | 74 | 294 | +14 | T81 |" + }, + { + "from": "human", + "value": "Presented is a Wikipedia table named '2012 Open Championship', accompanied by a section heading 'Made the cut' and further explanatory text: 'Source:'\nWith reference to the table and related metadata, produce a sentence that encapsulates the information of the highlighted cells." + }, + { + "from": "gpt", + "value": "In the 2012 Open Championship, Els scored 273 (−7)." + } + ] + }, + { + "id": "table_instructV_multi_round_28940", + "image": "table_instructV/images/TABMWP_11999.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| Number of buckets | Number of blue blocks |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | 20 |\n| 5 | ? |" + }, + { + "from": "human", + "value": "Answer the following question based on the table information. Let's think step by step. In the last of your solution, output the final answer as JSON in the format {\"answer\": \"\"}.\nEach bucket has 5 blue blocks. How many blue blocks are in 5 buckets? (Unit: blue blocks)" + }, + { + "from": "gpt", + "value": "Count by fives. Use the chart: there are 25 blue blocks in 5 buckets.\n\nThus, the final answer is {\"answer\": \"25\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_28949", + "image": "table_instructV/images/ToTTo_train_table_23626.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| # | Event Title | Date | Arena | Location |\n| --- | --- | --- | --- | --- |\n| 1 | Glory 19: Virginia | February 6, 2015 | Hampton Coliseum | United States Hampton, Virginia, USA |\n| 2 | Glory 20: Dubai | April 3, 2015 | Dubai World Trade Centre | United Arab Emirates Dubai, UAE |\n| 3 | Glory 21: San Diego | May 8, 2015 | Valley View Casino Center | United States San Diego, California, USA |\n| 4 | Glory 22: Lille | June 5, 2015 | Stade Pierre-Mauroy | France Lille, France |\n| 5 | Glory 23: Las Vegas | August 3, 2015 | Hard Rock Hotel and Casino | United States Las Vegas, Nevada, USA |\n| 6 | Bellator/Glory: Dynamite 1 | September 19, 2015 | SAP Center | United States San Jose, California, USA |\n| 7 | Glory 24: Denver | October 9, 2015 | Magness Arena | United States Denver, Colorado, USA |\n| 8 | Glory 25: Milan | November 6, 2015 | PalaIper | Italy Milan, Italy |\n| 9 | Glory 26: Amsterdam | December 4, 2015 | Amsterdam RAI | Netherlands Amsterdam, Netherlands |" + }, + { + "from": "human", + "value": "Here's a Wikipedia table under the title '2015 in Glory', with a section titled 'List of events' \nBased on the table information, construct a one-sentence summary of the highlighted cells." + }, + { + "from": "gpt", + "value": "Glory 21: San Diego was an event held on May 8, 2015 at the Valley View Casino Center in San Diego, California, USA." + } + ] + }, + { + "id": "table_instructV_multi_round_28989", + "image": "table_instructV/images/Rotowire_train_table_1318.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Suns | Phoenix | 111 | 24 | 28 | 25 | 34 | 21 | 44 | 12 | 46 | 71 | 33 | 26 | 19 | | | | |\n| Rockets | Houston | 113 | 32 | 28 | 27 | 26 | 24 | 41 | 14 | 52 | 75 | 37 | 30 | 14 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Suns | | | | | | | | | | | | | | | | | | |\n| Eric Bledsoe | 39 | 25 | 8 | 9 | 8-14 | 57% | 1-4 | 25% | 8-10 | 80% | 0 | 3 | 1 | 1 | 7 | 5 | G | Phoenix |\n| Isaiah Thomas | 38 | 22 | 5 | 4 | 7-20 | 35% | 4-9 | 44% | 4-4 | 100% | 0 | 5 | 0 | 1 | 4 | 2 | N/A | Phoenix |\n| Markieff Morris | 24 | 21 | 4 | 1 | 9-14 | 64% | 0-0 | 0% | 3-4 | 75% | 1 | 3 | 0 | 2 | 2 | 4 | F | Phoenix |\n| Gerald Green | 23 | 15 | 2 | 0 | 6-14 | 43% | 3-9 | 33% | 0-0 | 0% | 0 | 0 | 0 | 2 | 0 | 2 | N/A | Phoenix |\n| Marcus Morris | 24 | 12 | 6 | 2 | 5-9 | 56% | 2-3 | 67% | 0-0 | 0% | 2 | 1 | 0 | 1 | 5 | 4 | N/A | Phoenix |\n| PJ Tucker | 29 | 6 | 5 | 3 | 2-7 | 29% | 0-3 | 0% | 2-2 | 100% | 0 | 0 | 0 | 2 | 3 | 3 | F | Phoenix |\n| Alex Len | 24 | 4 | 11 | 0 | 2-3 | 67% | 0-0 | 0% | 0-2 | 0% | 0 | 0 | 2 | 3 | 8 | 1 | C | Phoenix |\n| Miles Plumlee | 6 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 1 | 1 | N/A | Phoenix |\n| Goran Dragic | 18 | 2 | 0 | 2 | 1-5 | 20% | 0-2 | 0% | 0-2 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | G | Phoenix |\n| Brandan Wright | 15 | 2 | 2 | 0 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 2 | 1 | 1 | 1 | N/A | Phoenix |\n| Archie Goodwin | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Reggie Bullock | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Zoran Dragic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Rockets | | | | | | | | | | | | | | | | | | |\n| James Harden | 40 | 33 | 6 | 10 | 8-18 | 44% | 3-6 | 50% | 14-17 | 82% | 3 | 3 | 1 | 0 | 6 | 4 | G | Houston |\n| Donatas Motiejunas | 23 | 15 | 6 | 0 | 7-11 | 64% | 0-0 | 0% | 1-2 | 50% | 1 | 1 | 0 | 2 | 4 | 4 | F | Houston |\n| Josh Smith | 26 | 14 | 3 | 3 | 7-11 | 64% | 0-2 | 0% | 0-1 | 0% | 0 | 6 | 2 | 0 | 3 | 1 | N/A | Houston |\n| Patrick Beverley | 34 | 14 | 4 | 4 | 5-13 | 39% | 4-7 | 57% | 0-0 | 0% | 0 | 0 | 1 | 1 | 3 | 2 | G | Houston |\n| Corey Brewer | 21 | 14 | 3 | 0 | 7-12 | 58% | 0-2 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 2 | 2 | N/A | Houston |\n| Trevor Ariza | 36 | 11 | 6 | 4 | 5-10 | 50% | 1-4 | 25% | 0-0 | 0% | 0 | 2 | 0 | 2 | 4 | 0 | F | Houston |\n| Dwight Howard | 8 | 5 | 3 | 1 | 2-2 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 0 | C | Houston |\n| Joey Dorsey | 20 | 4 | 6 | 0 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 1 | 0 | 6 | 5 | N/A | Houston |\n| Jason Terry | 15 | 3 | 0 | 0 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Houston |\n| Kostas Papanikolaou | 17 | 0 | 4 | 2 | 0-4 | 0% | 0-4 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 4 | 3 | N/A | Houston |\n| Alexey Shved | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Terrence Jones | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |" + }, + { + "from": "human", + "value": "Based on the shown data statistics of an NBA game on 23/01/2015, give me a detailed summary for this game." + }, + { + "from": "gpt", + "value": "James Harden scored 33 points and drained the game-winning jumper as the Rockets knocked off the Suns 113-111 on Friday night. With the Rockets up by three with 26 seconds remaining, Phoenix 's Markieff Morris drove past Joey Dorsey, drew the foul and finished thorugh contact to bring the Suns within one. He rattled home the free throw, tying the game with 16 seconds to play. Houston inbounded to Harden, who dribbled the clock down and put a move on P.J. Tucker before pulling up and hitting the game-winning jumper as time expired. While the referees would convene to confirm the shot was relased in time, there was never any doubt, and Harden strutted off the court in a mob of teammates. Harden led all scorers with 33 points to go with six rebounds 10 assists and three steals. Donatas Motiejunas added 15 points and six boards, and Trevor Ariza chipped in 11 points. Dwight Howard exited the game after just eight minutes due to an ankle sprain and did not return. In his stead, Dorsey fininshed with four points and six rebound sin 20 minutes. Josh Smith and Corey Brewer each added 14 points off the bench. Phoenix, which shot 46 percent from the floor, got 25 points from Eric Bledsoe. He also added nine assists and eight rebounds in 39 minutes. Markieff Morris pitched in 21 points, and Isaiah Thomas had 22 off the bench. Goran Dargic was limited to only two points in 18 minutes. Up next, the Rockets face the Lakers at the Staples Center on Sunday night. Phoenix plays host to the Clippers, also on Sunday." + } + ] + }, + { + "id": "table_instructV_multi_round_28994", + "image": "table_instructV/images/Rotowire_train_table_2195.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nuggets | Denver | 96 | 26 | 25 | 22 | 23 | 22 | 40 | 15 | 38 | 67 | 35 | 20 | 37 | | | | |\n| Suns | Phoenix | 110 | 35 | 23 | 25 | 27 | 19 | 65 | 19 | 43 | 75 | 33 | 30 | 28 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Nuggets | | | | | | | | | | | | | | | | | | |\n| Will Barton | 34 | 22 | 8 | 3 | 6-9 | 67% | 3-5 | 60% | 7-8 | 88% | 0 | 2 | 1 | 2 | 6 | 2 | N/A | Denver |\n| Danilo Gallinari | 34 | 20 | 7 | 1 | 6-16 | 38% | 5-11 | 46% | 3-3 | 100% | 1 | 6 | 1 | 1 | 6 | 0 | F | Denver |\n| Ty Lawson | 38 | 13 | 4 | 7 | 5-12 | 42% | 2-5 | 40% | 1-2 | 50% | 3 | 1 | 0 | 1 | 3 | 4 | G | Denver |\n| Joffrey Lauvergne | 26 | 11 | 9 | 1 | 4-7 | 57% | 1-1 | 100% | 2-5 | 40% | 1 | 2 | 1 | 3 | 6 | 2 | N/A | Denver |\n| Gary Harris | 26 | 9 | 0 | 2 | 3-10 | 30% | 1-5 | 20% | 2-2 | 100% | 1 | 1 | 0 | 0 | 0 | 4 | G | Denver |\n| Jusuf Nurkic | 21 | 8 | 8 | 2 | 3-7 | 43% | 0-0 | 0% | 2-3 | 67% | 1 | 2 | 1 | 1 | 7 | 4 | C | Denver |\n| JJ Hickson | 22 | 8 | 3 | 0 | 2-5 | 40% | 0-0 | 0% | 4-6 | 67% | 1 | 0 | 1 | 1 | 2 | 0 | N/A | Denver |\n| Randy Foye | 22 | 4 | 0 | 2 | 2-11 | 18% | 0-6 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 0 | 3 | N/A | Denver |\n| Darrell Arthur | 3 | 1 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 0 | F | Denver |\n| Jameer Nelson | 13 | 0 | 1 | 4 | 0-3 | 0% | 0-1 | 0% | 0-2 | 0% | 2 | 0 | 0 | 1 | 0 | 0 | N/A | Denver |\n| Kenneth Faried | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Erick Green | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Wilson Chandler | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Denver |\n| Suns | | | | | | | | | | | | | | | | | | |\n| Brandon Knight | 33 | 19 | 3 | 5 | 7-16 | 44% | 3-8 | 38% | 2-2 | 100% | 0 | 2 | 0 | 0 | 3 | 1 | G | Phoenix |\n| Eric Bledsoe | 36 | 18 | 6 | 6 | 7-15 | 47% | 1-3 | 33% | 3-3 | 100% | 2 | 6 | 1 | 2 | 4 | 2 | G | Phoenix |\n| Gerald Green | 21 | 15 | 4 | 3 | 5-12 | 42% | 3-9 | 33% | 2-3 | 67% | 0 | 3 | 1 | 0 | 4 | 4 | N/A | Phoenix |\n| PJ Tucker | 31 | 12 | 8 | 2 | 3-9 | 33% | 0-3 | 0% | 6-6 | 100% | 5 | 1 | 1 | 3 | 5 | 2 | F | Phoenix |\n| Marcus Morris | 23 | 12 | 9 | 1 | 4-6 | 67% | 1-1 | 100% | 3-4 | 75% | 0 | 2 | 0 | 3 | 6 | 1 | N/A | Phoenix |\n| TJ Warren | 20 | 10 | 7 | 0 | 5-8 | 63% | 0-0 | 0% | 0-2 | 0% | 0 | 1 | 0 | 4 | 3 | 2 | N/A | Phoenix |\n| Brandan Wright | 18 | 8 | 6 | 0 | 4-9 | 44% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 3 | 3 | 3 | 3 | N/A | Phoenix |\n| Alex Len | 21 | 6 | 10 | 0 | 2-8 | 25% | 0-0 | 0% | 2-4 | 50% | 0 | 1 | 1 | 5 | 5 | 4 | C | Phoenix |\n| Markieff Morris | 22 | 5 | 9 | 2 | 1-5 | 20% | 0-0 | 0% | 3-4 | 75% | 2 | 2 | 0 | 1 | 8 | 3 | F | Phoenix |\n| Earl Barron | 9 | 2 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 2 | 0 | 2 | N/A | Phoenix |\n| Reggie Bullock | 1 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Phoenix |\n| Archie Goodwin | 6 | 1 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Phoenix |\n| Marcus Thornton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |" + }, + { + "from": "human", + "value": "Given the table titled 'Data statistics of Nuggets vs Suns on 25/02/2015', write a game summary in detail." + }, + { + "from": "gpt", + "value": "The Phoenix Suns (30-28) defeated the Denver Nuggets (20-37) 110-96 on Wednesday at the Pepsi Center in Denver. The Suns got off to a quick start in this one, out-scoring the Nuggets 35-26 right away in the first quarter. They were the superior shooters as well, going 43 percent from the field, while the Nuggets finished at just 38 percent from the floor. Along with the hot start, the Suns out-rebounded the Nuggets 65-40, giving them a hefty advantage, while also going a long way in making up for the 21 turnovers they committed. The Suns' backcourt duo of Brandon Knight and Eric Bledsoe were just too much for the Nuggets. Knight finished with a team-high of 19 points (7-16 FG, 3-8 3Pt, 2-2 FT) and six assists, while Bledsoe posted 18 points (7-15 FG, 1-3 3Pt, 3-3 FT), six rebounds and six assists. While he was having a career year with the Bucks, Knight has continued his strong play since being traded to the Suns, averaging 17 points and five assists in the three games since his debut. Bledsoe has also been producing in bunches lately, combining for 39 points and six assists over his last two games. The Suns received a nice contribution off the bench from Gerald Green. In just 21 minutes, he went 5-for-12 from the field and 3-for-9 from the three-point line to score 15 points, while adding four rebounds and three assists as well. With the departure of Isaiah Thomas, Green has now become the best option for the Suns off the bench. Reaching double figures in points for just the second time in his career, rookie T.J. Warren had 10 points (5-8 FG, 0-2 FT) and seven rebounds in 19 minutes. Danilo Gallinari has yet to slow down, as he again posted some impressive numbers for the Nuggets. He went 6-for-16 from the field and 5-for-11 from the three-point line to score 20 points, while also adding seven rebounds as well. Despite averaging 9 points on the season, he 's averaged 19 points over his last three games, while he 's shot 45 percent or higher from the three-point line in each of those outings. Coming off the bench, Will Barton is another player who continues to play surprisingly well. In 34 minutes, he posted a team-high of 22 points (6-9 FG, 3-5 3Pt, 7-8 FT), to go along with eight rebounds and three assists. In the three games he 's played with the Nuggets since coming over from the Trail Blazers, he 's averaged 15 points and five rebounds. He failed to get very much playing time with his old team, so he 's thriving in his new role. Jeoffrey Lauvergne played in just his third career NBA game Wednesday. The rookie played quite well, going 4-for-7 from the field and 1-for-1 from the three-point line to score 11 points, while grabbing nine rebounds. It was a new season-high in points for him. Ty Lawson posted 13 points (5-12 FG, 2-5 3Pt, 1-2 FT) and seven assists. The Suns' next game will be at home against the Oklahoma City Thunder on Thursday, while the Nuggets will be at home against the Utah Jazz on Friday." + } + ] + }, + { + "id": "table_instructV_multi_round_29058", + "image": "table_instructV/images/TABMWP_27158.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 8 | 10 |\n| 15 | 4 |\n| 2 | 3 |\n| 1 | 7 |" + }, + { + "from": "human", + "value": "Math word problem: Look at this table. Is this relation a function? (A) yes (B) no\n\nShow your detailed solution with the final answer in the JSON format {'answer': ''}." + }, + { + "from": "gpt", + "value": "Look at the x-values in the table.\n\nEach of the x-values is paired with only one y-value, so the relation is a function.\n\nTherefore, the final answer is {\"answer\": \"yes\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_29244", + "image": "table_instructV/images/TabFact_2-15872814-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| game | date | team | score | high points | high rebounds | high assists | location attendance | record |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 46 | february 2 | indiana | w 98 - 97 (ot) | chris bosh (25) | chris bosh (15) | milt palacio (7) | conseco fieldhouse 14783 | 19 - 27 |\n| 47 | february 4 | washington | w 103 - 100 (ot) | jalen rose (26) | chris bosh (11) | rafer alston (8) | air canada centre 15546 | 20 - 27 |\n| 48 | february 6 | dallas | l 113 - 122 (ot) | chris bosh (29) | chris bosh (8) | rafer alston (8) | air canada centre 17896 | 20 - 28 |\n| 49 | february 8 | cleveland | l 91 - 104 (ot) | jalen rose (21) | loren woods (9) | milt palacio (9) | gund arena 17036 | 20 - 29 |\n| 50 | february 9 | milwaukee | l 107 - 110 (ot) | jalen rose (26) | chris bosh (9) | rafer alston (12) | air canada centre 14269 | 20 - 30 |\n| 51 | february 11 | philadelphia | l 91 - 106 (ot) | jalen rose (23) | jalen rose (10) | chris bosh , morris peterson , jalen rose (5) | air canada centre 19800 | 20 - 31 |\n| 52 | february 13 | la clippers | w 109 - 106 (ot) | chris bosh (26) | chris bosh (10) | rafer alston (8) | air canada centre 15721 | 21 - 31 |\n| 53 | february 16 | chicago | l 115 - 121 (ot) | chris bosh (28) | chris bosh , jalen rose (7) | rafer alston (8) | air canada centre 15881 | 21 - 32 |\n| 54 | february 22 | new jersey | w 100 - 82 (ot) | jalen rose (30) | chris bosh (12) | rafer alston (6) | continental airlines arena 14080 | 22 - 32 |\n| 55 | february 25 | milwaukee | w 106 - 102 (ot) | chris bosh (27) | chris bosh , donyell marshall (8) | rafer alston (7) | bradley center 15883 | 23 - 32 |\n| 56 | february 27 | la lakers | w 108 - 102 (ot) | jalen rose (26) | chris bosh (15) | milt palacio (7) | air canada centre 19800 | 24 - 32 |" + }, + { + "from": "human", + "value": "Analyze the table's content, including its title '2004 - 05 toronto raptors season', and determine whether the given statement is confirmed or refuted by the table information. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nstatement: jalen rose scored a game high 26 points in game number 56" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the statement is true. So, the answer is {\"answer\": \"confirmed\"}." + }, + { + "from": "human", + "value": "Determine the relationship between the table and the sentence, classify it as supported or refuted. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nTable title: 2004 - 05 toronto raptors season\nsentence: on february 27th , the person with the highest number of assists was milt palacio" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the sentence is true. So, the answer is {\"answer\": \"supported\"}." + }, + { + "from": "human", + "value": "Table title: 2004 - 05 toronto raptors season\nhypothesis: rafer alston has the lowest number of high assists of all the february games\nPlease distinguish whether the above hypothesis is entailed or opposed by the table information. Format your final answer as a JSON, using the structure {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the hypothesis is false. So, the answer is {\"answer\": \"opposed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_29267", + "image": "table_instructV/images/ToTTo_train_table_2166.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| Model | Dimensions | Weight | Engine | Power | Tyres | Power/Weight | Acceleration 0–100 km/h | Top Speed |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| San Vito S1 | 3740/1700/1150/2160 | 930 kg (2050 lb) | Rear longitudinal L4 1800 cc | 150 HP @ 7000 rpm | Front:225 / 40 2R 18 Rear:235 / 40 2R 18 | 161.2 HP/ton | 6.5 s | 220 km/h (137 MPH) |" + }, + { + "from": "human", + "value": "Presented is a Wikipedia table named 'San Vito S1', accompanied by a section heading 'Specifications' and further explanatory text: 'According to the manufacturer'\nWith reference to the table and related metadata, produce a sentence that encapsulates the information of the highlighted cells." + }, + { + "from": "gpt", + "value": "San Vito S1 car accelerates from 0 to 100 km / h in 6.5 seconds and reaches a top speed of 220 km / h (137 MPH)." + } + ] + }, + { + "id": "table_instructV_multi_round_29269", + "image": "table_instructV/images/TabFact_2-11172765-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| week | date | opponent | result | attendance |\n| --- | --- | --- | --- | --- |\n| 1 | september 22 , 1948 | detroit lions | w 44 - 7 | 12941 |\n| 2 | october 3 , 1948 | philadelphia eagles | t 28 - 28 | 36884 |\n| 3 | october 10 , 1948 | chicago bears | l 42 - 21 | 43707 |\n| 4 | october 17 , 1948 | green bay packers | l 16 - 0 | 25119 |\n| 5 | october 24 , 1948 | detroit lions | w 34 - 27 | 17444 |\n| 6 | october 31 , 1948 | chicago cardinals | l 27 - 22 | 32149 |\n| 7 | november 7 , 1948 | chicago bears | l 21 - 6 | 56263 |\n| 8 | november 14 , 1948 | new york giants | w 52 - 37 | 22766 |\n| 9 | november 21 , 1948 | chicago cardinals | l 27 - 24 | 29031 |\n| 10 | november 28 , 1948 | green bay packers | w 24 - 10 | 23874 |\n| 11 | december 5 , 1948 | washington redskins | w 41 - 13 | 32970 |\n| 12 | december 12 , 1948 | pittsburgh steelers | w 31 - 14 | 27967 |" + }, + { + "from": "human", + "value": "Examine the table with the caption '1948 los angeles rams season', classify whether the provided table entails or challenges the hypothesis. Show your final answer in the JSON format {\"answer\": \"\"}.\nhypothesis: the chicago bears only beat the rams one time during this season" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it challenges the hypothesis. Hence, the answer is {\"answer\": \"challenges\"}." + }, + { + "from": "human", + "value": "Give you a table titled '1948 los angeles rams season' and a sentence which is 'the rams won six games in their 1948 season , and lost five', select the correct relation between the table and the sentence based on the table information. Output the final answer as JSON in the format {\"answer\": \"\"}.\n\n(A) confirms (the sentence is true)\n(B) challenges (the sentence is false)" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it confirms the sentence. So, the answer is {\"answer\": \"confirms\"}." + }, + { + "from": "human", + "value": "Give you a table titled '1948 los angeles rams season' and a claim which is 'the rams won five games in their 1948 season , and lost six', select the correct relation between the table and the claim based on the table information. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\n\n(A) substantiates (the claim is true)\n(B) refutes (the claim is false)" + }, + { + "from": "gpt", + "value": "Based on the table, the claim can not hold true. Thus, the final answer is {\"answer\": \"refutes\"}." + }, + { + "from": "human", + "value": "Examine the table image with the title '1948 los angeles rams season', classify whether the claim is affirmed or contradicted based on the table's content and title. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nclaim: their first game against the detroit lions had the smallest attendance , with only 12941 people in attendance" + }, + { + "from": "gpt", + "value": "According to the table, the claim is affirmed by the table information. Therefore, the final answer: {\"answer\": \"affirmed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_29275", + "image": "table_instructV/images/ToTTo_train_table_17619.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Year | Team | Games | Receptions | Yards | Yards per Reception | Longest Reception | Touchdowns | First Downs | Fumbles | Fumbles Lost |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1995 | SEA | 16 | 67 | 1,039 | 15.5 | 59 | 7 | 66 | 1 | 1 |\n| 1996 | SEA | 16 | 57 | 987 | 17.3 | 65 | 7 | 42 | 2 | 2 |\n| 1997 | SEA | 15 | 72 | 1,049 | 14.6 | 53 | 12 | 55 | 0 | 0 |\n| 1998 | SEA | 16 | 65 | 1,047 | 16.1 | 81 | 10 | 46 | 1 | 1 |\n| 1999 | SEA | 8 | 22 | 335 | 15 | 48 | 1 | 17 | 0 | 0 |\n| 2000 | DAL | 1 | 4 | 62 | 15.5 | 22 | 1 | 4 | 0 | 0 |\n| 2001 | DAL | 16 | 52 | 699 | 13.4 | 47 | 3 | 53 | 1 | 0 |\n| 2002 | DAL | 16 | 61 | 908 | 14.9 | 80 | 6 | 33 | 1 | 1 |\n| 2003 | DAL | 15 | 34 | 672 | 19.8 | 64 | 2 | 2 | 0 | 0 |\n| 2004 | TB | 10 | 33 | 416 | 15.6 | 36 | 5 | 25 | 0 | 0 |\n| 2005 | TB | 16 | 83 | 1,287 | 15.5 | 80 | 10 | 57 | 0 | 0 |\n| 2006 | TB | 16 | 62 | 1,057 | 17.0 | 64 | 7 | 44 | 0 | 0 |\n| 2007 | TB | 15 | 57 | 1,043 | 17.8 | 69 | 6 | 37 | 1 | 0 |\n| 2008 | TB | 9 | 13 | 168 | 10.6 | 22 | 0 | 6 | 0 | 0 |\n| 2009 | NE | 3 | 7 | 68 | 9.6 | 19 | 0 | 3 | 0 | 0 |\n| 2009 | PIT | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 2010 | WSH | 10 | 12 | 173 | 14.4 | 62 | 0 | 9 | 0 | 0 |\n| Career | | 198 | 701 | 10,950 | 15.6 | 81 | 77 | 484 | 6 | 5 |" + }, + { + "from": "human", + "value": "Give you a Wikipedia table titled 'Joey Galloway'. Its section title is 'NFL statistics'. Table-related text is: Receiving Stats Punt Returning Stats\nBased on the table and above metadata, generate a one-sentence description about highlighted table cells." + }, + { + "from": "gpt", + "value": "In 2006, Joey Galloway played 16 games, making 62 receptions for 1,057 yards with seven touchdowns." + } + ] + }, + { + "id": "table_instructV_multi_round_29352", + "image": "table_instructV/images/ToTTo_train_table_7092.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| # | Mayor | Term |\n| --- | --- | --- |\n| 88 | Annette Waddle | 2001–2002 |\n| 89 | Janie Dickenson | 2002–2005 |\n| 90 | Ivan Dean | 2005–2007 |\n| 91 | Albert Van Zetten | 2007 – present |" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table and its metadata. You are required to generate a one-sentence description of highlighted table cells. \nTable title: List of mayors of Launceston\nSection title: 2001–present" + }, + { + "from": "gpt", + "value": "Ivan Dean served as Mayor of Launceston from 2005 to 2007." + } + ] + }, + { + "id": "table_instructV_multi_round_29428", + "image": "table_instructV/images/ToTTo_train_table_26831.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Model | Engine | Displacement | Max power | Max torque | Acceleration 0-60 mph/s | Top speed |\n| --- | --- | --- | --- | --- | --- | --- |\n| Fighter | V10 | 7,994 cc (487.8 cu in) | 525 bhp (391 kW; 532 PS) @ 5,500 rpm | 525 lb⋅ft (712 N⋅m) @ 4,200 rpm | c 4.0 | 210 mph (340 km/h) |\n| Fighter S | V10 | 7,994 cc (487.8 cu in) | 628 bhp (468 kW; 637 PS) @ 5,900 rpm | 580 lb⋅ft (790 N⋅m) @ 3,900 rpm | 4.0 | 210 mph (340 km/h) |\n| Fighter T | V10 turbo | 7,994 cc (487.8 cu in) | 1,012 bhp (755 kW; 1,026 PS) @ 5,600 rpm | 1,036 lb⋅ft (1,405 N⋅m) @ 4,500 rpm | 3.5 | 225 mph (362 km/h) limited |" + }, + { + "from": "human", + "value": "Generate a one-sentence summary about the highlighted table cells based on the following Wikipedia table and its metadata. \nTable title: Bristol Fighter (automobile)\nSection title: Specifications\n" + }, + { + "from": "gpt", + "value": "The Fighter S produces 628 hp." + } + ] + }, + { + "id": "table_instructV_multi_round_29640", + "image": "table_instructV/images/TABMWP_21744.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | Desert | Rainforest |\n| --- | --- | --- |\n| A tent | 3 | 7 |\n| Matches | 5 | 5 |" + }, + { + "from": "human", + "value": "Starting with the provided table, detail your process in solving this problem. Conclude your response with a final answer in the JSON format {\"answer\": \"\"}. \nIn the first episode of a reality show, contestants had to spin two wheels of fate. Spinning the first wheel determined the remote location where contestants would reside for the duration of the season. Spinning the second wheel determined which \"bonus survival tool\" they would be allowed to bring, along with a few other necessary items. What is the probability that a randomly selected participant spun the second wheel and landed on matches and spun the first wheel and landed on desert? Simplify any fractions." + }, + { + "from": "gpt", + "value": "Let A be the event \"the participant spun the second wheel and landed on matches\" and B be the event \"the participant spun the first wheel and landed on desert\".\nTo find the probability that a participant spun the second wheel and landed on matches and spun the first wheel and landed on desert, first identify the sample space and the event.\nThe outcomes in the sample space are the different participants. Each participant is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the participant spun the second wheel and landed on matches and spun the first wheel and landed on desert\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the participant spun the second wheel and landed on matches and spun the first wheel and landed on desert\", so look at the table to see how many participants spun the second wheel and landed on matches and spun the first wheel and landed on desert.\nThe number of participants who spun the second wheel and landed on matches and spun the first wheel and landed on desert is 5.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of participants.\n3 + 5 + 7 + 5 = 20\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{5}{20}\n = \\frac{1}{4}\nThe probability that a participant spun the second wheel and landed on matches and spun the first wheel and landed on desert is \\frac{1}{4}.\n\nThus, the final answer is {\"answer\": \"1/4\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_29652", + "image": "table_instructV/images/TABMWP_35727.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Dog | Weight change (oz.) |\n| --- | --- |\n| Sprinkles | 5 |\n| Champ | -6 |" + }, + { + "from": "human", + "value": "Tell me how many rows and columns exist in the given table. Show your final answer in the JSON format {\"row_number\": \"m\", \"column_number\": \"n\"}." + }, + { + "from": "gpt", + "value": "This table has 3 rows and 2 columns. Thus, the final answer is {\"row_number\": \"3\", \"column_number\": \"2\"}." + }, + { + "from": "human", + "value": "Math word problem: Cole has two dogs, Sprinkles and Champ. He is concerned because Sprinkles keeps eating Champ's food. Cole asks their vet how much each dog's weight has changed since their last visit. Which dog's weight has changed the most? (A) Sprinkles (B) Champ\n\nShow your detailed solution with the final answer in the JSON format {'answer': ''}." + }, + { + "from": "gpt", + "value": "To find which dog's weight changed the most, use absolute value. Absolute value tells you how much each dog's weight has changed.\nSprinkles: |5| = 5\nChamp: |-6| = 6\nChamp's weight has changed the most. He has lost 6 ounces.\n\nTherefore, the final answer is {\"answer\": \"Champ\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_29692", + "image": "table_instructV/images/ToTTo_train_table_32843.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 2009 | Reasons for Living | Laura | BAC |\n| 2009 | The Tempest | Miranda/Ariel | UK tour |\n| 2011 | Plenty | Louise/Dorcas | Sheffield Crucible Theatre |\n| 2012 | Uncle Vanya | Sonya | Vaudeville Theatre |\n| 2013 | The Fitzrovia Radio Hour | Arabella | Underglobe Theatre |\n| 2016 | The Maids | Madam | Trafalgar Studios |\n| 2017 | Apologia | Trudi | Trafalgar Studios |" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table and its metadata. You are required to generate a one-sentence description of highlighted table cells. \nTable title: Laura Carmichael\nSection title: Theatre" + }, + { + "from": "gpt", + "value": "Laura Carmichael played Laura in Reasons for Living in 2009, at Battersea Arts Centre." + } + ] + }, + { + "id": "table_instructV_multi_round_29712", + "image": "table_instructV/images/TabFact_2-17323274-7.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| game | march | opponent | score | record |\n| --- | --- | --- | --- | --- |\n| 64 | 3 | california golden seals | 8 - 1 | 40 - 14 - 10 |\n| 65 | 6 | detroit red wings | 2 - 2 | 40 - 14 - 11 |\n| 66 | 7 | los angeles kings | 4 - 2 | 41 - 14 - 11 |\n| 67 | 10 | chicago black hawks | 4 - 2 | 42 - 14 - 11 |\n| 68 | 12 | philadelphia flyers | 7 - 2 | 43 - 14 - 11 |\n| 69 | 14 | toronto maple leafs | 1 - 0 | 44 - 14 - 11 |\n| 70 | 18 | philadelphia flyers | 2 - 1 | 44 - 15 - 11 |\n| 71 | 20 | toronto maple leafs | 3 - 1 | 44 - 16 - 11 |\n| 72 | 21 | montreal canadiens | 6 - 2 | 44 - 17 - 11 |\n| 73 | 23 | buffalo sabres | 7 - 2 | 45 - 17 - 11 |\n| 74 | 27 | boston bruins | 6 - 3 | 46 - 17 - 11 |\n| 75 | 28 | boston bruins | 2 - 1 | 47 - 17 - 11 |\n| 76 | 31 | chicago black hawks | 4 - 2 | 48 - 17 - 11 |" + }, + { + "from": "human", + "value": "Give you a table titled '1970 - 71 new york rangers season' and a sentence which is 'the record of game 67 is 42 - 14 - 11', select the correct relation between the table and the sentence based on the table information. Show your final answer in the JSON format {\"answer\": \"\"}.\n\n(A) upholds (the sentence is true)\n(B) challenges (the sentence is false)" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it upholds the sentence. Hence, the answer is {\"answer\": \"upholds\"}." + }, + { + "from": "human", + "value": "This is a table image titled '1970 - 71 new york rangers season', help me determine if the table supports or disputes the following statement. Output the final answer as JSON in the format {\"answer\": \"\"}.\nthe score for boston bruins' second game is 2 - 1" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it supports the statement. Hence, the answer is {\"answer\": \"supports\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_29724", + "image": "table_instructV/images/ToTTo_train_table_579.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Program | Network | Debut date |\n| --- | --- | --- |\n| The Lost Islands | The 0-10 Network | 1 January |\n| The Celebrity Game | The 0-10 Network | 9 February |\n| Tandarra | Seven Network | 10 February |\n| Luke's Kingdom | Nine Network | 7 April |\n| In the Wild | ABC | 12 July |\n| The Inventors | ABC | 28 July |\n| Bluey | Seven Network | 2 August |\n| Flashez | ABC | 2 August |\n| Alvin Purple | ABC | 13 August |\n| The Bluestone Boys | The 0-10 Network | 3 September |\n| Chopper Squad | The 0-10 Network | 5 November |\n| The Young Doctors | Nine Network | 8 November |\n| Solo One | Seven Network | 8 November |\n| The Outsiders | ABC | 9 November |\n| The Sullivans | Nine Network | 15 November |\n| Ask the Leyland Brothers | Nine Network | 1976 |\n| The Daryl and Ossie Cartoon Show | Nine Network | 1976 |" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table and its metadata. You are required to generate a one-sentence description of highlighted table cells. \nTable title: 1976 in Australian television\nSection title: Debuts" + }, + { + "from": "gpt", + "value": "On 9 February, the Australian game show \"The Celebrity Game\" returned to The 0-10 Network." + } + ] + }, + { + "id": "table_instructV_multi_round_29762", + "image": "table_instructV/images/Rotowire_train_table_710.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Rockets | Houston | 102 | 27 | 18 | 24 | 33 | 18 | 49 | 19 | 47 | 71 | 25 | 15 | 14 | | | | |\n| Hornets | Charlotte | 95 | 28 | 16 | 16 | 35 | 20 | 35 | 11 | 35 | 81 | 29 | 15 | 12 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Rockets | | | | | | | | | | | | | | | | | | |\n| James Harden | 35 | 36 | 5 | 7 | 9-16 | 56% | 2-7 | 29% | 16-19 | 84% | 0 | 4 | 1 | 1 | 4 | 4 | G | Houston |\n| Terrence Jones | 24 | 17 | 6 | 0 | 7-11 | 64% | 0-1 | 0% | 3-5 | 60% | 0 | 0 | 2 | 2 | 4 | 2 | N/A | Houston |\n| Marcus Thornton | 14 | 13 | 1 | 1 | 4-7 | 57% | 2-4 | 50% | 3-4 | 75% | 1 | 2 | 0 | 0 | 1 | 2 | N/A | Houston |\n| Patrick Beverley | 27 | 11 | 7 | 1 | 3-9 | 33% | 2-4 | 50% | 3-6 | 50% | 0 | 1 | 0 | 2 | 5 | 5 | G | Houston |\n| Dwight Howard | 27 | 9 | 9 | 0 | 4-5 | 80% | 0-0 | 0% | 1-3 | 33% | 0 | 5 | 1 | 1 | 8 | 6 | C | Houston |\n| Donatas Motiejunas | 23 | 6 | 4 | 4 | 2-7 | 29% | 0-2 | 0% | 2-2 | 100% | 0 | 1 | 0 | 1 | 3 | 1 | N/A | Houston |\n| Trevor Ariza | 31 | 5 | 3 | 0 | 2-6 | 33% | 1-5 | 20% | 0-0 | 0% | 1 | 3 | 0 | 0 | 3 | 2 | F | Houston |\n| Clint Capela | 20 | 3 | 8 | 0 | 1-3 | 33% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 2 | 6 | 5 | F | Houston |\n| Jason Terry | 21 | 2 | 3 | 2 | 1-4 | 25% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 3 | N/A | Houston |\n| Corey Brewer | 19 | 0 | 3 | 3 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 3 | 3 | N/A | Houston |\n| Ty Lawson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| KJ McDaniels | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Montrezl Harrell | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Kemba Walker | 41 | 14 | 5 | 6 | 3-10 | 30% | 2-6 | 33% | 6-6 | 100% | 0 | 4 | 0 | 1 | 4 | 5 | G | Charlotte |\n| Jeremy Lin | 22 | 13 | 1 | 5 | 4-6 | 67% | 1-3 | 33% | 4-7 | 57% | 0 | 1 | 0 | 1 | 0 | 5 | N/A | Charlotte |\n| Marvin Williams | 26 | 12 | 6 | 0 | 2-9 | 22% | 2-5 | 40% | 6-6 | 100% | 0 | 0 | 1 | 2 | 4 | 3 | F | Charlotte |\n| Frank Kaminsky | 23 | 12 | 5 | 0 | 4-8 | 50% | 2-5 | 40% | 2-3 | 67% | 0 | 0 | 1 | 0 | 5 | 0 | N/A | Charlotte |\n| Cody Zeller | 26 | 10 | 7 | 0 | 5-9 | 56% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 2 | 5 | 6 | C | Charlotte |\n| Jeremy Lamb | 19 | 10 | 2 | 3 | 3-9 | 33% | 1-5 | 20% | 3-3 | 100% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | Charlotte |\n| Nicolas Batum | 34 | 9 | 5 | 3 | 3-11 | 27% | 0-3 | 0% | 3-4 | 75% | 1 | 2 | 0 | 0 | 5 | 2 | F | Charlotte |\n| PJ Hairston | 20 | 7 | 2 | 0 | 2-12 | 17% | 2-9 | 22% | 1-2 | 50% | 1 | 0 | 0 | 2 | 0 | 3 | G | Charlotte |\n| Spencer Hawes | 21 | 3 | 1 | 2 | 1-5 | 20% | 1-2 | 50% | 0-0 | 0% | 3 | 1 | 1 | 0 | 1 | 3 | N/A | Charlotte |\n| Troy Daniels | 2 | 3 | 0 | 0 | 1-2 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Charlotte |\n| Brian Roberts | 6 | 2 | 1 | 1 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 0 | N/A | Charlotte |\n| Tyler Hansbrough | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Al Jefferson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |" + }, + { + "from": "human", + "value": "Write a match report for the NBA game on 21/12/2015 between Rockets and Hornets. Use the given statistics in the image as your reference." + }, + { + "from": "gpt", + "value": "The Rockets (15-14) defeated the Hornets (15-12) 102-95 at Toyota Center on Monday. After a very tight first half, the Rockets managed to jump out to a nine-point lead heading into the fourth quarter. But the Hornets responded to even the score, though they were unable to contain James Harden. After scoring just 18 points in Saturday 's win, Harden turned in a vintage performance with 36 points (9-16 FG, 2-7 3Pt, 16-19 FT) to go along with seven assists and five rebounds. It was the third straight win for the Rockets, who are over the .500 mark on the season for the first time since Nov. 7. Harden did n't get much help from the rest of the Rockets' starters, but he did get some support from the bench. Terrence Jones posted 17 points on 7-of-11 shooting from the field and Marcus Thornton put up 13 with a pair of 3-pointers. Dwight Howard was relatively quiet after recording back-to-back double-doubles. Houston will get a chance to extend its win streak to four games Wednesday against the Magic. The Hornets--for the most part--played a pretty tight defensive game, but had no one to slow down Harden, which was the difference in the end. They also experienced one of their worst offensive games of the season, shooting just under 35 percent from the field while hitting just 12-of-41 attempts from beyond the arc. Charlotte tried to spread the ball around with seven players taking eight or more shot attempts, but it did n't translate into winning basketball. The Hornets will look to end their mini two-game skid Wednesday against the Celtics at home." + } + ] + }, + { + "id": "table_instructV_multi_round_29928", + "image": "table_instructV/images/TABMWP_12053.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $645 | 21,000 | 1,500 |\n| $815 | 18,500 | 1,800 |\n| $985 | 16,000 | 2,100 |\n| $1,155 | 13,500 | 2,400 |\n| $1,325 | 11,000 | 2,700 |" + }, + { + "from": "human", + "value": "Look at the table. Then answer the question. At a price of $815, is there a shortage or a surplus? (A) shortage (B) surplus\n\nSolve the above problem using the table information. Present the final answer in a JSON format, outlined as {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "At the price of $815, the quantity demanded is greater than the quantity supplied. There is not enough of the good or service for sale at that price. So, there is a shortage.\n\n\nTherefore, the final answer is {\"answer\": \"shortage\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_29958", + "image": "table_instructV/images/TabFact_2-18156085-6.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| place | player | country | score | to par |\n| --- | --- | --- | --- | --- |\n| t1 | ian baker - finch | australia | 68 + 66 + 71 = 205 | - 11 |\n| t1 | tom watson | united states | 71 + 68 + 66 = 205 | - 11 |\n| t3 | seve ballesteros | spain | 69 + 68 + 70 = 207 | - 9 |\n| t3 | bernhard langer | west germany | 71 + 68 + 68 = 207 | - 9 |\n| t5 | hugh baiocchi | south africa | 72 + 70 + 70 = 212 | - 4 |\n| t5 | lee trevino | united states | 70 + 67 + 75 = 212 | - 4 |\n| t5 | lanny wadkins | united states | 70 + 69 + 73 = 212 | - 4 |\n| t8 | josé maria cañizares | spain | 70 + 71 + 72 = 213 | - 3 |\n| t8 | fred couples | united states | 70 + 69 + 74 = 213 | - 3 |\n| t8 | nick faldo | england | 69 + 68 + 76 = 213 | - 3 |\n| t8 | hale irwin | united states | 75 + 68 + 70 = 213 | - 3 |\n| t8 | peter jacobsen | united states | 67 + 73 + 73 = 213 | - 3 |\n| t8 | mark mccumber | united states | 74 + 67 + 72 = 213 | - 3 |\n| t8 | gil morgan | united states | 71 + 71 + 71 = 213 | - 3 |\n| t8 | ronan rafferty | northern ireland | 74 + 72 + 67 = 213 | - 3 |" + }, + { + "from": "human", + "value": "Examine the table titled '1984 open championship' and judge whether the table confirms or refutes the following statement. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nfred couples with the united states team , is tied for eighth" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it confirms the statement. So, the answer is {\"answer\": \"confirms\"}." + }, + { + "from": "human", + "value": "Presented with a table with the title '1984 open championship', distinguish whether the table substantiates or challenges the following statement. Show your final answer in the JSON format {\"answer\": \"\"}.\nstatement: nick faldo was one of only three other players whose three number score , 69 + 68 + 76 = 213 , totaled to 213" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the statement is false. Consequently, the answer is {\"answer\": \"challenges\"}." + }, + { + "from": "human", + "value": "According to the information in the given table regarding '1984 open championship', tell me whether the hypothesis is substantiated or disputed by the table. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nfred couples represented northern ireland with - 11 to par" + }, + { + "from": "gpt", + "value": "According to the table, the hypothesis is disputed by the table information. Therefore, the final answer: {\"answer\": \"disputed\"}." + }, + { + "from": "human", + "value": "Based on the table image about '1984 open championship' and the subsequent hypothesis, determine if the table supports or refutes the subsequent hypothesis. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nhypothesis: fred couples was tied for eighth with a score of 70 + 69 + 74 = 213" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it supports the hypothesis. So, the answer is {\"answer\": \"supports\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_29985", + "image": "table_instructV/images/TABMWP_36340.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $825 | 18,000 | 6,300 |\n| $975 | 16,700 | 9,700 |\n| $1,125 | 15,400 | 13,100 |\n| $1,275 | 14,100 | 16,500 |\n| $1,425 | 12,800 | 19,900 |" + }, + { + "from": "human", + "value": "Look at the table. Then answer the question. At a price of $1,425, is there a shortage or a surplus? (A) shortage (B) surplus\n\nSolve the above problem using the table information. Output the final answer as JSON in the format {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "At the price of $1,425, the quantity demanded is less than the quantity supplied. There is too much of the good or service for sale at that price. So, there is a surplus.\n\n\nTherefore, the final answer is {\"answer\": \"surplus\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_30027", + "image": "table_instructV/images/TabFact_1-17978052-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| s dam and gnis query link | s lake and gnis query link | s reservoir and gnis query link | borough or census area | comment |\n| --- | --- | --- | --- | --- |\n| 5 | 27 | 0 | aleutians east | lakes in table , reservoirs done |\n| 15 | 134 | 0 | aleutians west (ca) | lakes , reservoirs done |\n| 8 | 58 | 6 | anchorage | lakes and reservoirs in table |\n| 0 | 81 | 0 | bethel (ca) | lakes , reservoirs done |\n| 0 | 0 | 0 | bristol bay | lakes and reservoirs done |\n| 0 | 50 | 0 | denali | lakes in table , reservoirs done |\n| 0 | 55 | 0 | dillingham (ca) | lakes , reservoirs done |\n| 3 | 19 | 1 | fairbanks north star | lakes and reservoirs in table |\n| 3 | 10 | 0 | haines | lakes in table , reservoirs done |\n| 6 | 55 | 3 | hoonah - angoon (ca) | lakes and reservoirs in table |\n| 8 | 31 | 5 | juneau | lakes and reservoirs in table |\n| 10 | 440 | 4 | kenai peninsula | lakes , reservoirs in table |\n| 12 | 57 | 8 | ketchikan gateway | lakes , reservoirs in table |\n| 31 | 82 | 11 | kodiak island | lakes , reservoirs in table |\n| 3 | 83 | 0 | lake and peninsula | lakes , reservoirs done |\n| 5 | 451 | 1 | matanuska - susitna | lakes , reservoirs in table |\n| 1 | 36 | 0 | nome (ca) | lakes in table , reservoirs done |\n| 2 | 142 | 2 | north slope | lakes , reservoirs in table |\n| 1 | 80 | 1 | northwest arctic | lakes , reservoirs in table |\n| 9 | 163 | 4 | p of wales - o ketchikan (ca) | lakes , reservoirs in table |\n| 9 | 90 | 3 | sitka | lakes , reservoirs in table |\n| 3 | 9 | 3 | skagway | lakes and reservoirs in table |\n| 0 | 130 | 0 | southeast fairbanks (ca) | lakes , reservoirs in table |\n| 22 | 293 | 10 | valdez - cordova (ca) | lakes , reservoirs in table |\n| 1 | 21 | 0 | wade hampton (ca) | lakes in table , reservoirs done |\n| 8 | 60 | 5 | wrangell - petersburg (ca) | lakes , reservoirs in table |\n| 0 | 26 | 0 | yakutat | lakes in table , reservoirs done |\n| 2 | 513 | 0 | yukon - koyukuk (ca) | lakes , reservoirs done |" + }, + { + "from": "human", + "value": "According to the information in the given table regarding 'list of lakes of alaska', tell me whether the claim is confirmed or disproved by the table. Output the final answer as JSON in the format {\"answer\": \"\"}.\nin the lake and peninsula area there are 3 dams" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the claim is valid. Hence, the answer is {\"answer\": \"confirmed\"}." + }, + { + "from": "human", + "value": "Based on the table image about 'list of lakes of alaska' and the subsequent claim, determine if the table affirms or disproves the subsequent claim. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nclaim: there is 1 dam in the yakutat area" + }, + { + "from": "gpt", + "value": "Based on the table, the claim can not hold true. Thus, the final answer is {\"answer\": \"disproves\"}." + }, + { + "from": "human", + "value": "Analyze the table picture about 'list of lakes of alaska' and classify whether the next claim is supported or disproved by the table. The final result should be presented in the JSON format of {\"answer\": \"\"}.\n\nthere are 26 lakes in the valdez - cordova (ca) area" + }, + { + "from": "gpt", + "value": "By using the table as supporting evidence, it is evident that the claim is incorrect. Consequently, the answer is {\"answer\": \"disproved\"}." + }, + { + "from": "human", + "value": "In this task, you are given a table with its title 'list of lakes of alaska', your goal is to distinguish whether this table upholds or opposes the sentence. Show your final answer in the JSON format {\"answer\": \"\"}.\nthe lake and peninsula area has three dams" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the sentence. Consequently, the answer is {\"answer\": \"upholds\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_30079", + "image": "table_instructV/images/TabFact_2-12206000-5.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| date | opponent | score | loss | attendance | record |\n| --- | --- | --- | --- | --- | --- |\n| may 1 | rangers | 7 - 6 | lewis (3 - 2) | 16111 | 11 - 18 |\n| may 2 | angels | 3 - 1 | lackey (1 - 3) | 17799 | 12 - 18 |\n| may 3 | angels | 7 - 1 | shields (1 - 1) | 21007 | 13 - 18 |\n| may 4 | angels | 8 - 2 | ortiz (4 - 3) | 21513 | 14 - 18 |\n| may 6 | rangers | 15 - 5 | lewis (3 - 3) | 20092 | 15 - 18 |\n| may 7 | rangers | 5 - 4 | sturtze (3 - 3) | 18508 | 15 - 19 |\n| may 8 | rangers | 8 - 6 | drese (2 - 2) | 20177 | 16 - 19 |\n| may 9 | angels | 6 - 1 | davis (1 - 1) | 42820 | 16 - 20 |\n| may 10 | angels | 7 - 4 | ortiz (4 - 4) | 43661 | 17 - 20 |\n| may 11 | angels | 4 - 2 | washburn (3 - 4) | 32129 | 18 - 20 |\n| may 13 | devil rays | 7 - 5 | sturtze (3 - 4) | 14007 | 18 - 21 |\n| may 14 | devil rays | 7 - 6 | brazelton (0 - 2) | 29013 | 19 - 21 |\n| may 15 | devil rays | 9 - 5 | davis (1 - 2) | 20417 | 19 - 22 |\n| may 16 | royals | 18 - 1 | george (4 - 3) | 24167 | 20 - 22 |\n| may 17 | royals | 7 - 4 | grimsley (1 - 3) | 25032 | 21 - 22 |\n| may 18 | royals | 4 - 3 | snyder (0 - 1) | 15462 | 22 - 22 |\n| may 19 | white sox | 12 - 2 | wright (0 - 2) | 19628 | 23 - 22 |\n| may 20 | white sox | 4 - 1 | davis (1 - 3) | 12857 | 23 - 23 |\n| may 21 | white sox | 6 - 5 | politte (1 - 3) | 13076 | 23 - 24 |\n| may 22 | yankees | 8 - 3 | pettitte (4 - 5) | 45777 | 24 - 24 |\n| may 23 | yankees | 6 - 2 | mussina (7 - 3) | 34134 | 25 - 24 |\n| may 24 | yankees | 5 - 2 | wells (6 - 2) | 35023 | 26 - 24 |\n| may 25 | yankees | 5 - 3 | weaver (3 - 3) | 40940 | 27 - 24 |\n| may 26 | white sox | 11 - 5 | buehrle (2 - 8) | 19009 | 28 - 24 |\n| may 27 | white sox | 5 - 1 | colã cubicn (5 - 4) | 19365 | 29 - 24 |\n| may 28 | white sox | 8 - 0 | escobar (2 - 2) | 36806 | 29 - 25 |\n| may 29 | white sox | 3 - 2 | lidle (8 - 3) | 20010 | 29 - 26 |\n| may 30 | red sox | 13 - 2 | burkett (3 - 3) | 21381 | 30 - 26 |\n| may 31 | red sox | 10 - 7 | fossum (4 - 4) | 28809 | 31 - 26 |" + }, + { + "from": "human", + "value": "Give you a table titled '2003 toronto blue jays season' and a claim which is 'the rangers have high attendance with a figure of 36806', select the correct relation between the table and the claim based on the table information. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\n\n(A) affirms (the claim is true)\n(B) opposes (the claim is false)" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it opposes the claim. So, the answer is {\"answer\": \"opposes\"}." + }, + { + "from": "human", + "value": "Examine whether the table confirms or refutes the subsequent hypothesis. Show your final answer in the JSON format {\"answer\": \"\"}.\ntable title: '2003 toronto blue jays season'\nhypothesis: the highest recorded attendance was 37806" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it refutes the hypothesis. Hence, the answer is {\"answer\": \"refutes\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title '2003 toronto blue jays season', and determine whether the given claim is supported or opposed by the table information. Output the final answer as JSON in the format {\"answer\": \"\"}.\nclaim: there was a low attendance of 14007 against the devil rays on may 13" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the claim. Hence, the answer is {\"answer\": \"supported\"}." + }, + { + "from": "human", + "value": "According to the information in the given table regarding '2003 toronto blue jays season', tell me whether the sentence is upheld or disputed by the table. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nthere was a high attendace of 36806 on may 28 , bringing the record to 29 - 25" + }, + { + "from": "gpt", + "value": "According to the table, the sentence is upheld by the table information. Therefore, the final answer: {\"answer\": \"upheld\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_30305", + "image": "table_instructV/images/ToTTo_train_table_9938.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Title | Director | Producer | Music | Cast |\n| --- | --- | --- | --- | --- |\n| Aayiram Kannudayaal | K. Shankar | Sasivarnam Films | Sankar Ganesh | Padmini, Jeevitha, Prabha, Baby Shalini, Rajeev, Senthil |\n| Aayiram Pookkal Malarattum | E. Ramadoss | Motherland Pictures | V. S. Narasimhan | Mohan, Seetha, Ranjini, Goundamani, Senthil, Janagaraj |\n| Adutha Veedu | Rama Narayanan | Visakam Art Productions | Sankar Ganesh | S. Ve. Shekher, Chandrasekhar, Ilavarasi, Madhuri |\n| Africavil Appu | Vijay Anand | Sri Rajeswari Creations | Ilaiyaraaja | Nalini, Suresh |\n| Amman Kovil Kizhakale | R. Sundarrajan | V. N. S. Productions | Ilaiyaraaja | Vijayakanth, Radha, Ravichandran, Srividya, Senthil |\n| Anandha Kanneer | K. Vijayan | Sivaji Productions | Sankar Ganesh | Sivaji Ganesan, Lakshmi, Visu, Rajeev, Nizhalgal Ravi, Jayashree, Rajyalakshmi, Janagaraj |\n| Annai En Dheivam | R. Krishnamoorthy | Mandhralaya Arts | Sankar Ganesh | Vijayakanth, Jaishankar, K. R. Vijaya, Madhuri, Manorama, Y. G. Mahendra, Vadivukkarasi |\n| Aruvadai Naal | G. M. Kumar | Sivaji Productions | Ilaiyaraaja | Prabhu, Pallavi, Ramkumar, Vadivukkarasi, Raasi |\n| Avalai Solli Kuttramillai | A. A. Soman | Velan Creations | Gangai Amaran | Sarath Babu, Ranjini, Pavithra |\n| Bathil Solval Bhadrakali | S. Jagadeesan | Oaam Selvi Arts | K. V. Mahadevan | Jaishankar, K. R. Vijaya, Ilavarasi, Jeevitha, Viji, Rajeev, Senthil |\n| Choru | Rama Narayanan | Sri Thenandal Films | Sankar Ganesh | S. Ve. Shekher, Chandrasekhar, Jeevitha, Vanithasri |\n| Cinema Cinema | T. P. Gajendran | Leo International | M. S. Viswanathan | S. Ve. Shekher, Kalaiselvi |\n| December Pookal | R. Boopathy | N. R. K. Cine Arts | Ilaiyaraaja | Mohan, Revathi, Nalini, Nizhalgal Ravi, Goundamani, Senthil |\n| Dharma Devathai | S. P. Muthuraman | AVM Productions | Raveendran | Vijayakanth, Raadhika, Pallavi |\n| Dharma Pathini | Ameerjan | Sri Shanmugalaya Arts | Ilaiyaraaja | Karthik, Jeevitha, Chandrasekhar, Goundamani, Senthil |\n| Dharmam | R. Thyagarajan | Devar films | Usha Khanna | Sathyaraj, Jaishankar, Saritha, Sudha Chandran |\n| En Sabatham | S. A. Chandrasekhar | G. R. P. Arts | Gangai Amaran | Arjun, Anitha |\n| Enakku Nane Needipathi | S. A. Chandrasekhar | Kay Cee Film Combines | Ilaiyaraaja | Vijayakanth, Jeevitha, Jaishankar, Lakshmi |\n| Endravathu Oru Naal | Balu Anand | Gopi Visalakshi Films | Sankar Ganesh | Naresh Kumar, Madhuri |\n| Engal Thaikulame Varuge | V. N. Sambantham | P. A. S. Production | Chandrabose | Suresh, Jeevitha, Goundamani, Silk Smitha, Thengai Srinivasan, Manorama, Y. G. Mahendra |\n| Iravu Pookkal | Sridhar Rajan | Sri Sivahari Films | Ilaiyaraaja | Sathyaraj, Nalini, Raveendran, Jeevitha, Y. G. Mahendra |\n| Isai Paadum Thendral | S. Devarajan | N. C. Creations | Ilaiyaraaja | Sivakumar, Ambika, Rekha, Goundamani, Janagaraj |\n| Jeevanathi | Sanjay-Bhaskar | Our National Creations | M. S. Viswanathan | Sivakumar, Ilavarasi, Goundamani, Anuradha |\n| Jigu Jigu Rayil | Manivannan | Gangai Pictures | Sankar Ganesh | S. Ve. Shekher, Sulakshana |\n| Jothi Malar | Rama Narayanan | Bhairavi Creation | Sankar Ganesh | Suresh, Nalini, K. R. Vijaya |\n| Kadaikan Paarvai | Raaj Sridhar | Sri Hemamalini Productions | V. S. Narasimhan | Pandiyan, Sathyaraj, Ilavarasi |\n| Kadalora Kavithaigal | P. Bharathiraja | Mookambika Art Creations | Ilaiyaraaja | Sathyaraj, Rekha, Raja, Ranjini, Janagaraj |\n| Kagidha Odam | Rama Narayanan | Poompuhar Production | Sankar Ganesh | Ilavarasan, Nalini |\n| Kaithiyin Theerpu | Vijaya Bharathy | Sunshine Creations | R. Ramanujam | Vijaya Bharathy, Jaishankar, Urvashi, Anuradha |\n| Kalamellam Un Madiyil | Rajasekhar | Prem Priya Productions | Chandrabose | Murali, Jayashree, Ganga, Janagaraj |\n| Kanmaniye Pesu | Rajasekhar | Aries Cine Arts | Raveendran | Sivakumar, Lakshmi, Ambika |\n| Kanna Thorakkanum Saami | R. Govindaraj | Punitha Cine Arts | Ilaiyaraaja Gangai Amaran | Sivakumar, Jeevitha, Cho, Manorama |\n| Kanne Kaniyamuthe | Sakthi-Kannan | Saj Productions | M. S. Viswanathan | Rehman, Amala, Jaishankar, Sujatha, Senthil |\n| Kannukku Mai Ezhuthu | J. Mahendran | Blue Moon Movies | Ilaiyaraaja | P. Bhanumathi, Sujatha, Sarath Babu, Vadivukkarasi |\n| Karimedu Karuvayan | Rama Narayanan | Meenakshi Arts | Ilaiyaraaja | Vijayakanth, Nalini, Sathyaraj, Pandiyan, Aruna, Goundamani, Senthil |\n| Kodai Mazhai | Muktha S. Sundar | Muktha Films | Ilaiyaraaja | Vidya Venugopal, Jaishankar, Lakshmi, Sripriya, Prasad, S. Ve. Shekher |\n| Kovil Yaanai | Kandasami-Singaram | Sri Viji Movies | Chandrabose | Pandiyan, Jayashree, Radha Ravi, S. S. Chandran, Senthil, Kovai Sarala, Kuyili, Anuradha |\n| Kulirkaala Megangal | C. V. Sridhar | Vasan Brothers | Sankar Ganesh | Arjun, Jaishankar, Sadhana, Thengai Srinivasan, Manorama, Vanitha |\n| Kungamapottu | R. Ranjith Kumar | Sri Padma Balaji Films | Sankar Ganesh | R. Ranjith Kumar, Saritha |\n| Lakshmi Vandhachu | Rajasekhar | Aries Cine Arts | Raveendran | Sivaji Ganesan, Padmini, Revathi, Nizhalgal Ravi, S. Ve. Shekher, Jayachitra, Baby Meena |\n| Maaveeran | Rajasekhar | Padmalaya Pictures | Ilaiyaraaja | Rajinikanth, Ambika, Jaishankar, Sujatha, Dara Singh, Nagesh, Vijayakumar, Sunitha |\n| Machakaaran | Raj Bharath | Navasakthi Pictures | Sankar Ganesh | Thiagarajan, Raadhika, Urvashi, K. R. Vijaya |\n| Mahasakthi Mariamman | K. S. Gopalakrishnan | Karpaga Lakshmi Pictures | K. V. Mahadevan | K. R. Vijaya, Sujatha, Rajesh, Ilavarasi, Chandrasekhar, Anuradha, Jayachitra, Sumithra |\n| Malarum Ninaivugal | Krishnan–Panju | Meenakshi Films | V. Kumar | |\n| Mamiyargal Jakkirathai | Rama Narayanan | Kamal Chithiram | Chandrabose | Raveendran, Nalini, Sadhana |\n| Manakanakku | R. C. Sakthi | Vinod Art Pictures | M. S. Viswanathan | Vijayakanth, Radha, Ambika, Sarath Babu, Rajesh |\n| Mandhira Punnagai | V. Thamizhalagan | Sathya Movies | Ilaiyaraaja | Sathyaraj, Nadhiya, Raghuvaran, Baby Sujitha, Jai Jagadish, Senthil |\n| Manithanin Marupakkam | K. Rangaraj | Sathya Jyothi Films | Ilaiyaraaja | Sivakumar, Radha, Jayashree, Jai Jagadish, Rajyalakshmi |\n| Mannukkul Vairam | Manoj Kumar | Motherland Pictures | Devendran | Sivaji Ganesan, Sujatha, Rajesh, Murali, Pandiyan, Ranjini, Vani Viswanath, Goundamani, Senthil, Kovai Sarala |\n| Maragatha Veenai | Gokula Krishnan | Naveena Productions | Ilaiyaraaja | Suresh, Revathi, Goundamani, Chandrasekhar, Senthil, Manorama, Baby Sonia |\n| Marakka Maatten | Ramarajan | Veeralakshmi Combines | Gangai Amaran | Nizhalgal Ravi, Viji, Janagaraj, S. S. Chandran, Senthil, Kovai Sarala |\n| Marumagal | Karthick Raghunath | Sujatha Cine Arts | Chandrabose | Sivaji Ganesan, Jaishankar, Suresh, Revathi, Pavithra, Y. G. Mahendra, Manorama |\n| Maruthi | K. V. Thyagarajan | Vijayakala Pictures | Sankar Ganesh | Chandrasekhar, S. Ve. Shekher, Jeevitha, Madhuri, S. S. Chandran, Senthil |\n| Meendum Pallavi | A. P. Jegadeesh | Ibrahim Cine Enterprises | M. S. Viswanathan | Jaishankar, Sujatha, Raghuvaran, Rajyalakshmi, Anuradha, Goundamani |\n| Mel Maruvathoor Arpudhangal | S. Jagadeesan | Oaam Selvi Arts | K. V. Mahadevan | K. R. Vijaya, Rajesh, Radha Ravi, Nalini, Sulakshana, Thengai Srinivasan |\n| Mella Thirandhathu Kadhavu | R. Sundarrajan | AVM Productions | M. S. Viswanathan Ilaiyaraaja | Mohan, Radha, Amala, Visu, Senthil |\n| Mouna Ragam | Mani Ratnam | Sujatha Productions | Ilaiyaraaja | Mohan, Revathi, Karthik |\n| Mounam Kalaikirathu | Karikalan | H. M. C. Productions | Sankar Ganesh | Suresh, Anand Babu, Jeevitha, Jayashree, Vijayakumar, S. S. Chandran, Senthil |\n| Mr. Bharath | S. P. Muthuraman | AVM Productions | Ilaiyaraaja | Rajinikanth, Ambika, Sathyaraj, Sharada, Goundamani, S. Ve. Shekher, Viji, Visu |\n| Murattu Karangal | Rajasekhar | Hemnag Films | Ilaiyaraaja | Thiagarajan, Sulakshana, Sathyaraj, Jaishankar, Deepa |\n| Muthal Vasantham | Manivannan | Everest Films | Ilaiyaraaja | Pandiyan, Chandrasekhar, Sathyaraj, Ramya Krishnan, Mahalakshmi |\n| Mythili Ennai Kaathali | T. Rajendar | Thanjai Cine Arts | T. Rajendar | T. Rajendar, Srividya, Amala, S. S. Chandran |\n| Naan Adimai Illai | Dwarakish | Dwarakish Chithra | Vijay Anand | Rajinikanth, Sridevi, Girish Karnad, V. K. Ramasamy, Thengai Srinivasan, Manorama, Y. G. Mahendra, Vanitha |\n| Naalellam Pournami | Utthaman | Vikranth Creations | Gangai Amaran | Prabhu, Ranjini, Manimaran |\n| Naanum Oru Thozhilali | C. V. Sridhar | Chitralaya Films | Ilaiyaraaja | Kamal Haasan, Ambika, Jaishankar |\n| Nambinar Keduvathillai | K. Shankar | Siva Shankar Motion Pictures | M. S. Viswanathan | Vijayakanth, Prabhu, Jayashree, Sudha Chandran, Senthil, Manorama |\n| Namma Ooru Nalla Ooru | V. Azhagappan | Sri Devi Bagavathi Films | Gangai Amaran | Ramarajan, Rekha, Rajeev, Sulakshana, S. S. Chandran, Senthil |\n| Natpu | Ameerjan | Veeralakshmi Combines | Ilaiyaraaja | Karthik, Radha Ravi, Sripriya, Sri Bharathi, Senthil |\n| Neethana Antha Kuyil | R. Selvaraj | Kaladharshan Films | Ilaiyaraaja | Raja, Ranjini |\n| Nilave Malare | S. A. Chandrasekhar | Saj Productions | M. S. Viswanathan | Nadhiya, Rahman, Rajesh, Baby Shalini, Manorama, Senthil |\n| Odangal | Ameerjan | P. S. V. Pictures | Sampath Selvam | Sanjay Kumar, Naveena, Radha Ravi, Manorama |\n| Oomai Vizhigal | R. Aravindraj | Thirai Chirpi | Manoj Gyan Aabavanan | Vijayakanth, Jaishankar, Arun Pandian, Saritha, Chandrasekhar, Srividya, Visu, Ilavarasi, Senthil |\n| Oru Iniya Udhayam | R. Selvam | Pandu Cine Arts | Manoj Gyan | Vijayakanth, Amala, Vijayakumar, Janagaraj |\n| Oru Manithan Oru Manaivi | Durai | S. D. Creation | Sankar Ganesh | Suresh, Ashok, Sumithra |\n| Paadum Paravaigal | | K. R. Cine Arts | Sankar Ganesh | Anand Babu, Jeevitha |\n| Padikkatha Padam | Bharath | M. L. M. Creation | T. S. Raghavender | Bharathi, Viji |\n| Palaivana Rojakkal | Manivannan | Poompuhar Production | Ilaiyaraaja | Prabhu, Sathyaraj, Nalini, Lakshmi, Suhasini |\n| Panneer Nadhigal | M. Bhaskar | Oscar Movies | Sankar Ganesh | Sivakumar, Amala, Jeevitha, Nizhalgal Ravi, Jayashree, S. S. Chandran, Senthil, Baby Meena |\n| Paru Paru Pattanam Paru | Manobala | Kalaimani Movies | Ilaiyaraaja | Mohan, Ranjini, Kuyili |\n| Piranthaen Valarnthaen | Vijayasingam | Dhandayudhapani Films | Sankar Ganesh | Goundamani, Jeevitha, S. Ve. Shekher, Rajeev, Soorya, Brindha, Senthil |\n| Poi Mugangal | C. V. Rajendran | Preethi Creations | Sankar Ganesh | Rakesh, Sulakshana, Ravichandran |\n| Pookalai Parikatheergal | V. Azhagappan | Sri Raja Kaliamman Movies | T. Rajendar | Suresh, Nadhiya, Rajeev, S. S. Chandran, Senthil, Manorama |\n| Pudhiya Poovithu | Surya | Golden Moon Creations | Kannan | Raja, Ramya Krishnan, Senthil, Kovai Sarala |\n| Punnagai Mannan | K. Balachander | Kavithalayaa Productions | Ilaiyaraaja | Kamal Haasan, Revathi, Srividya, Rekha |\n| Puthir | S. Siddalingaiah | Kamadhenu Art Productions | Ilaiyaraaja | Murali, Sandhya, Asha Latha |\n| Raja Nee Vaazhga | C. V. Rajendran | Garuda Films | K. Ravi | Prabhu, Ambika, Sathyaraj, Nizhalgal Ravi, Anuradha |\n| Rasigan Oru Rasigai | Balu Anand | Vasan Productions | Raveendran | Sathyaraj, Ambika, Jaishankar, Goundamani, Senthil |\n| Revathy | Sundar K. Vijayan | J. V. Movies | Sankar Ganesh | Revathi, Suresh |\n| Saadhanai | A. S. Pragasam | Pragaas Productions | Ilaiyaraaja | Sivaji Ganesan, K. R. Vijaya, Prabhu, Nalini, Y. G. Mahendra |\n| Samsaram Adhu Minsaram | Visu | AVM Productions | Shankar Ganesh | Visu, Lakshmi, Raghuvaran, Chandrasekhar, Kismu, Manorama, Madhuri, Ilavarasi, Kamala Kamesh |\n| Sarvam Sakthimayam | P. R. Somasundar | Preethi Indar Combines | Ben Surender | Rajesh, Sudha Chandran, S. Ve. Shekher, Ramya Krishnan, Manorama, Radha Ravi |\n| Selvakku | M. A. Kaja | R. G. Combines | Chandrabose | Chandrasekhar, Radha Ravi, Sulakshana, Soorya, Sri Sailaja, Janagaraj |\n| Sigappu Malargal | S. A. Chandrasekhar | Vidhya Creations | M. S. Viswanathan | Vijayakanth, Sulakshana, S. S. Chandran |\n| Solai Pushpangal | Ramarajan | Sri Thenandal Films | Sankar Ganesh | Chandrasekhar, Jeevitha, Ramarajan |\n| Thaaiku Oru Thaalaattu | Balachandra Menon | K. R. G. Film Circuit | Ilaiyaraaja | Sivaji Ganesan, Padmini, Sujatha, Pandiarajan, Visu, Ilavarasi, Rohini, Rajyalakshmi |\n| Thalaiyatti Bommaigal | K. Natraj | Appu Movies | Gangai Amaran | Goundamani, Ilavarasi, Radha Ravi, Kalpana, Senthil |\n| Thazhuvatha Kaigal | R. Sundarrajan | Swarnaambika Movies | Ilaiyaraaja | Vijayakanth, Ambika, Senthil, Anuradha |\n| Thodarum Uravu | | Thamayanthi Films | Gangai Amaran | Karthik, Urvashi |\n| Unakkaagave Vaazhgiren | K. Rangaraj | Krishnalaya Productions | Ilaiyaraaja | Sivakumar, Nadhiya, Suresh, Menaka, Senthil |\n| Unnai Ondru Ketpen | Sakthi-Kannan | V. M. I. Productions | V. S. Narasimhan | Mohan, Amala, Poornima Bhagyaraj |\n| Unnidathil Naan | Arun Veerappan | Textam Productions | Thayanban | Nethaji, Nalini, Devi Lalitha |\n| Uyire Unakkaga | K. Rangaraj | Motherland Pictures | Laxmikant–Pyarelal | Mohan, Sujatha, Nadhiya, Senthil, Kovai Sarala |\n| Vasantha Raagam | S. A. Chandrasekhar | V. V. Creations | M. S. Viswanathan | Vijayakanth, Rahman, Sudha Chandran, S. A. Chandrasekhar |\n| Vettai | Senthinathan | P. S. V. Pictures | Sankar Ganesh | Arjun, Sasikala |\n| Vidinja Kalyanam | Manivannan | Vivekanandha Pictures | Ilaiyaraaja | Sathyaraj, Raveendran, VIjayakumar, Sujatha, Jayashree, Senthil |\n| Viduthalai | K. Vijayan | Sujatha Cine Arts | Chandrabose | Sivaji Ganesan, Rajinikanth, Madhavi, Vishnuvardhan, Anuradha |\n| Vikram | Rajasekhar | Raaj Kamal Films International | Ilaiyaraaja | Kamal Haasan, Dimple Kapadia, Lizzy, Ambika, Sathyaraj, Amjad Khan, Janagaraj |\n| Yaaro Ezhuthiya Kavithai | C. V. Sridhar | Durga Bagavathy Films | Anand Shankar | Sivakumar, Rajesh, Jayashree, Thengai Srinivasan, Kovai Sarala |" + }, + { + "from": "human", + "value": "Here's a Wikipedia table under the title 'List of Tamil films of 1986', with a section titled '1986' \nBased on the table information, construct a one-sentence summary of the highlighted cells." + }, + { + "from": "gpt", + "value": "Mannukkul Vairam is a 1986 Tamil film directed by Manoj Kumar and produced by Motherland Pictures." + } + ] + }, + { + "id": "table_instructV_multi_round_30339", + "image": "table_instructV/images/TabFact_1-19982699-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| | title | maneater | television premiere | dvd release | writer | director | producer |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | blood monkey | chimpanzees | january 27 , 2007 | november 6 , 2007 | george lavoo gary dauberman | robert young | charles salmon |\n| 2 | in the spider 's web | venomous spiders | august 26 , 2007 | november 6 , 2007 | gary dauberman | terry windsor | charles salmon |\n| 7 | grizzly rage | grizzly bear | june 7 , 2007 | may 6 , 2008 | arne olsen | david decoteau | robert halmi , sr phyllis lain |\n| 8 | the hive | army ants | february 17 , 2008 | august 5 , 2008 | ts cook | peter manus | charles salmon robert halmi sr robert halmi jr |\n| 17 | sand serpents | prehistoric s worm | july 11 , 2009 | november 3 , 2009 | raul inglis | jeff renfroe | ric nish |\n| 23 | behemoth | behemoth | january 15 , 2011 | april 5 , 2011 | rachelle s howie | wd hogan | john prince |\n| 24 | ferocious planet | beasts from parallel dimension | april 9 , 2011 | july 5 , 2011 | douglas g davis | billy o'brien | mary callery |" + }, + { + "from": "human", + "value": "Determine the relationship between the table and the hypothesis, classify it as affirmed or disputed. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nTable title: maneater (film series)\nhypothesis: blood monkey and n the spider 's web were both produced by charles salmon in 2007" + }, + { + "from": "gpt", + "value": "According to the table, the hypothesis is affirmed by the table information. Therefore, the final answer: {\"answer\": \"affirmed\"}." + }, + { + "from": "human", + "value": "According to the table information regarding 'maneater (film series)', tell me whether the provided table affirms or opposes the claim. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nthe maneater of the hive is army ants and prehistoric s worm for the sand serpents" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it affirms the claim. Hence, the answer is {\"answer\": \"affirms\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_30433", + "image": "table_instructV/images/TABMWP_341.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Location | Temperature (°F) |\n| --- | --- |\n| Death Valley | 134 |\n| Vostok Station | -128 |" + }, + { + "from": "human", + "value": "Answer the following question based on the table information. Let's think step by step. Format the ultimate answer as a JSON, using the structure {\"answer\": \"\"}.\nIn science class, Reagan is learning about places with extreme temperatures. She learns that the highest temperature ever recorded was in Death Valley, California. She also learns that the lowest temperature ever recorded was in Vostok Station, Antarctica. The record-setting temperatures of the two locations are shown in the table. Which location's temperature was further from zero? (A) Death Valley (B) Vostok Station" + }, + { + "from": "gpt", + "value": "A positive number means the temperature was above zero. A negative number means the temperature was below zero.\nTo find which temperature was further from zero, use absolute value. Absolute value tells you how far a temperature is from zero.\nDeath Valley: |134| = 134\nVostok Station: |-128| = 128\nThe temperature of Death Valley was further from zero. It was 134 degrees above zero.\n\nSo, the answer is {\"answer\": \"Death Valley\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_30498", + "image": "table_instructV/images/TABMWP_16243.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 11 | 15 |\n| 12 | 8 |\n| 13 | 0 |" + }, + { + "from": "human", + "value": "With the table image in mind, formulate a detail solution for the math problem. Show specific steps towards the answer. Output the final answer as JSON in the format {\"answer\": \"\"}.\n\nThe table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear" + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{8 - 15}{12 - 11}\n = \\frac{-7}{1}\n = -7\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the first row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{0 - 15}{13 - 11}\n = \\frac{-15}{2}\n = -7\\frac{1}{2}\nThe rate of change is not the same for each pair of points. So, the function does not have a constant rate of change.\nThe function is nonlinear.\n\nTherefore, the final answer is {\"answer\": \"nonlinear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_30636", + "image": "table_instructV/images/ToTTo_train_table_7493.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Election results |\n| --- |\n| Year | Office | | Subject | Party | Votes | % | | Opponent | Party | Votes | % |\n| 1948 | Lt. Governor | | Alexis I. du Pont Bayard | Democratic | 74,605 | 53% | | Chester V. Townsend, Jr. | Republican | 65,545 | 47% |\n| 1952 | U.S. Senator | | Alexis I. du Pont Bayard | Democratic | 77,685 | 45% | | John J. Williams | Republican | 93,020 | 55% |" + }, + { + "from": "human", + "value": "Generate a one-sentence summary about the highlighted table cells based on the following Wikipedia table and its metadata. \nTable title: Alexis I. du Pont Bayard\nSection title: Almanac\nSection text: Elections are held the first Tuesday after November 1. The Lieutenant Governor takes office the third Tuesday of January and has a four-year term." + }, + { + "from": "gpt", + "value": "Bayard lost in the United States Senate in 1952 to the Republican John J. Williams." + } + ] + }, + { + "id": "table_instructV_multi_round_30679", + "image": "table_instructV/images/Rotowire_train_table_3144.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pacers | Indiana | 94 | 27 | 32 | 14 | 21 | 17 | 53 | 12 | 41 | 76 | 17 | 25 | 34 | | | | |\n| 76ers | Philadelphia | 74 | 24 | 22 | 18 | 10 | 10 | 47 | 16 | 35 | 65 | 21 | 13 | 46 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| George Hill | 32 | 17 | 9 | 4 | 8-16 | 50% | 1-5 | 20% | 0-2 | 0% | 2 | 2 | 0 | 1 | 8 | 1 | G | Indiana |\n| Luis Scola | 19 | 15 | 6 | 2 | 7-12 | 58% | 0-0 | 0% | 1-1 | 100% | 2 | 0 | 1 | 3 | 3 | 2 | N/A | Indiana |\n| Roy Hibbert | 31 | 14 | 15 | 0 | 5-12 | 42% | 0-0 | 0% | 4-5 | 80% | 2 | 2 | 5 | 5 | 10 | 2 | C | Indiana |\n| Rodney Stuckey | 32 | 12 | 5 | 4 | 4-13 | 31% | 1-2 | 50% | 3-3 | 100% | 3 | 3 | 1 | 2 | 3 | 1 | N/A | Indiana |\n| CJ Watson | 17 | 8 | 5 | 3 | 2-6 | 33% | 0-3 | 0% | 4-4 | 100% | 0 | 1 | 0 | 0 | 5 | 0 | N/A | Indiana |\n| David West | 29 | 8 | 6 | 2 | 3-8 | 38% | 0-0 | 0% | 2-4 | 50% | 0 | 0 | 2 | 2 | 4 | 1 | F | Indiana |\n| CJ Miles | 29 | 7 | 2 | 2 | 2-10 | 20% | 1-5 | 20% | 2-3 | 67% | 2 | 0 | 0 | 0 | 2 | 0 | N/A | Indiana |\n| Ian Mahinmi | 16 | 6 | 3 | 0 | 3-3 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 4 | N/A | Indiana |\n| Solomon Hill | 20 | 4 | 2 | 0 | 2-7 | 29% | 0-2 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 3 | F | Indiana |\n| Damjan Rudez | 14 | 3 | 0 | 0 | 0-1 | 0% | 0-1 | 0% | 3-3 | 100% | 0 | 1 | 0 | 0 | 0 | 1 | G | Indiana |\n| Lavoy Allen | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Indiana |\n| Chris Copeland | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Donald Sloan | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Robert Covington | 24 | 12 | 3 | 0 | 5-11 | 46% | 2-5 | 40% | 0-0 | 0% | 0 | 2 | 0 | 0 | 3 | 3 | F | Philadelphia |\n| Ish Smith | 25 | 11 | 4 | 5 | 5-13 | 39% | 1-1 | 100% | 0-0 | 0% | 0 | 2 | 0 | 1 | 3 | 1 | N/A | Philadelphia |\n| Jason Richardson | 26 | 10 | 3 | 0 | 4-12 | 33% | 1-5 | 20% | 1-2 | 50% | 2 | 1 | 0 | 0 | 3 | 2 | G | Philadelphia |\n| Nerlens Noel | 35 | 10 | 12 | 1 | 2-8 | 25% | 0-0 | 0% | 6-6 | 100% | 1 | 3 | 3 | 5 | 7 | 4 | C | Philadelphia |\n| Thomas Robinson | 25 | 9 | 9 | 1 | 4-11 | 36% | 0-0 | 0% | 1-3 | 33% | 0 | 1 | 0 | 2 | 7 | 3 | N/A | Philadelphia |\n| Isaiah Canaan | 22 | 5 | 2 | 1 | 2-8 | 25% | 1-5 | 20% | 0-0 | 0% | 2 | 0 | 1 | 0 | 2 | 3 | G | Philadelphia |\n| Luc Mbah a Moute | 23 | 4 | 3 | 0 | 2-7 | 29% | 0-2 | 0% | 0-2 | 0% | 0 | 4 | 0 | 1 | 2 | 2 | F | Philadelphia |\n| Jerami Grant | 18 | 4 | 7 | 1 | 1-5 | 20% | 0-3 | 0% | 2-2 | 100% | 2 | 0 | 0 | 1 | 6 | 3 | N/A | Philadelphia |\n| Hollis Thompson | 23 | 4 | 0 | 1 | 2-5 | 40% | 0-2 | 0% | 0-0 | 0% | 1 | 2 | 0 | 0 | 0 | 0 | N/A | Philadelphia |\n| JaVale McGee | 8 | 3 | 1 | 0 | 1-2 | 50% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 1 | 0 | 1 | 0 | N/A | Philadelphia |\n| JaKarr Sampson | 11 | 2 | 3 | 0 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 3 | 4 | N/A | Philadelphia |\n| Furkan Aldemir | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Henry Sims | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |" + }, + { + "from": "human", + "value": "Could you analyze the table shown in the image and inform me about all the merged cell areas? Use the JSON {'top-left':(X1, Y1), 'bottom-right':(X2, Y2)} to represent each merged area, with (X1, Y1) as the (first row, first column) and (X2, Y2) as the (last row, last column). Note that the X1, Y1, X2, Y2 all start from 1." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "Write a match report for the NBA game on March 01, 2015 between Pacers and 76ers. Use the given statistics in the image as your reference." + }, + { + "from": "gpt", + "value": "The Indiana Pacers (25-34) defeated the Philadelphia 76ers (13-46) 94-74 on Sunday at Bankers Life Fieldhouse in Indianapolis. The Pacers got out to a quick start in this game, grabbing a 59-46 lead at half, therefore giving them a comfortable lead for the rest of the game. Along with the hot start, the Pacers were also the superior shooters, going 41 percent from the field, compared to the Sixers who finished at just 35 percent. The Pacers forced the Sixers in 18 turnovers, while committing just 14 of their own, which may have also played a big factor in the win. George Hill had a strong showing on Sunday, finishing with a team-high of 17 points (8-16 FG, 1-5 3Pt, 0-2 FT), to go along with nine rebounds and four assists. He was coming off a triple-double on Friday, where he recorded 15 points, 10 rebounds and 12 assists, so he continued to put up some solid numbers over all three categories in this one. Hill also received some help for Roy Hibbert, who posted 14 points (5-12 FG, 4-5 FT), 15 rebounds and five blocked shots in 31 minutes. The double-double was his first since the start of February, while he also made a huge impact on the defensive side of the ball, as he continually kept the Sixers out of the lane. The Pacers did see a bunch of production from their bench as well, with both Rodney Stuckey and Luis Scola reaching double figures in points. Scola had 15 points (7-12 FG, 1-1 FT) and six rebounds, while Stuckey posted 12 points (4-13 FG, 1-2 3Pt, 3-3 FT), four assists and three steals. Stuckey has had a nice couple of games in a row, combining for 31 points, 10 rebounds and eight assists over his last two. The Sixers really struggled to get it going offensively. Robert Covington had the most production, finishing with 12 points (5-11 FG, 2-5 3Pt) and three rebounds. He could 've had more, but he had to leave the game late in the third quarter after suffering an elbow contusion. Nerlens Noel also did whatever he could to give the Sixers a boost. In 34 minutes, he recorded 10 points (2-8 FG, 6-6 FT), 12 rebounds and three blocked shots. The double-double was his second in a row, as he 's combined for 24 points and 25 rebounds over that span. He 's now averaging 9 points and 7 rebounds on the season. The third member of the starting lineup to reach double figures was Jason Richardson. Richardson finished with 10 points (4-12 FG, 1-5 3Pt, 1-2 FT), three reobunds and two steals in 26 minutes. After shooting over 44 percent in each of his last two games, he really struggled this time around, going just 33 percent from the field and a meager 20 percent from beyond the arc. Ish Smith added 11 points (5-13 FG, 1-1 3Pt), four rebounds and five assists in 24 minutes off the bench. The Pacers' next game will be at home against the Knicks on Wednesday, while the Sixers will be at home against the Toronto Raptors on Monday." + } + ] + }, + { + "id": "table_instructV_multi_round_30707", + "image": "table_instructV/images/TABMWP_14839.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 14 | 15 |\n| 15 | 14 |\n| 16 | 9 |" + }, + { + "from": "human", + "value": "Give you a table image, answer this question. Let's think step by step. Present the final answer in a JSON format, outlined as {\"answer\": \"\"}.\nThe table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear" + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{14 - 15}{15 - 14}\n = \\frac{-1}{1}\n = -1\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the second row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{9 - 14}{16 - 15}\n = \\frac{-5}{1}\n = -5\nThe rate of change is not the same for each pair of points. So, the function does not have a constant rate of change.\nThe function is nonlinear.\n\nTherefore, the final answer is {\"answer\": \"nonlinear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_30760", + "image": "table_instructV/images/TABMWP_139.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $65 | 20,000 | 2,300 |\n| $235 | 15,300 | 6,800 |\n| $405 | 10,600 | 11,300 |\n| $575 | 5,900 | 15,800 |\n| $745 | 1,200 | 20,300 |" + }, + { + "from": "human", + "value": "Show the detailed solution to answer the following question. At the end of your output, present the final answer as JSON in the format {\"answer\": \"\"}.\nQuestion: Look at the table. Then answer the question. At a price of $235, is there a shortage or a surplus? (A) shortage (B) surplus" + }, + { + "from": "gpt", + "value": "At the price of $235, the quantity demanded is greater than the quantity supplied. There is not enough of the good or service for sale at that price. So, there is a shortage.\n\n\nTherefore, the final answer is {\"answer\": \"shortage\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_30842", + "image": "table_instructV/images/ToTTo_train_table_14197.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Image | Name | County(s) | Est. | Area | Description | Ref |\n| --- | --- | --- | --- | --- | --- | --- |\n| - | Ånderdalen | Troms | 1970 | 125 km2 (48 sq mi) | | |\n| — | Blåfjella–Skjækerfjella | Nord-Trøndelag | 2004 | 1,924 km2 (743 sq mi) | | |\n| P1000154Gamle Strynefjellsvegen.JPG | Breheimen | Oppland, Sogn og Fjordane | 2009 | 1,671 km2 (645 sq mi) | | |\n| VM.JPG | Børgefjell | Nord-Trøndelag, Nordland | 1963 | 1,447 km2 (559 sq mi) | | |\n| - | Dovre | Oppland | 2003 | 289 km2 (112 sq mi) | | |\n| - | Dovrefjell–Sunndalsfjella | Møre og Romsdal, Oppland, Sør-Trøndelag | 1974 | 1,693 km2 (654 sq mi) | | |\n| - | Færder | Vestfold | 2013 | 350 km2 (140 sq mi) | | |\n| - | Femundsmarka | Hedmark, Sør-Trøndelag | 1971 | 573 km2 (221 sq mi) | | |\n| - | Folgefonna | Hordaland | 2005 | 545 km2 (210 sq mi) | | |\n| - | Forlandet | Svalbard | 1973 | 4,647 km2 (1,794 sq mi) | The park covers the uninhabited island of Prins Karls Forland and the surrounding waters. Forlandet is long and narrow with tall peaks, separated in two by the low Forlandsletta. | |\n| - | Forollhogna | Sør-Trøndelag, Hedmark | 2001 | 1,062 km2 (410 sq mi) | | |\n| Fulufjellet nasjonalpark 007.JPG | Fulufjellet | Hedmark | 2012 | 83 km2 (32 sq mi) | | |\n| - | Gutulia | Hedmark | 1968 | 23 km2 (8.9 sq mi) | | |\n| - | Hallingskarvet | Buskerud, Hordaland | 2006 | 450 km2 (170 sq mi) | | |\n| - | Hardangervidda | Buskerud, Hordaland, Telemark | 1981 | 3,422 km2 (1,321 sq mi) | | |\n| - | Indre Wijdefjorden | Svalbard | 2005 | 1,127 km2 (435 sq mi) | Located in a steep fjord landscape in northern Spitsbergen, the park covers the inner part of Wijdefjorden—the longest fjord on Svalbard. | |\n| Briksdalsbreen.JPG | Jostedalsbreen | Sogn og Fjordane | 1991 | 1,310 km2 (510 sq mi) | | |\n| Jotunheimen - view from Galdhøpiggen.JPG | Jotunheimen | Oppland, Sogn og Fjordane | 1980 | 1,151 km2 (444 sq mi) | | |\n| - | Junkerdal | Nordland | 2004 | 682 km2 (263 sq mi) | | |\n| - | Làhku | Nordland | 2012 | 188 km2 (73 sq mi) | | |\n| - | Langsua | Oppland | 2011 | 537 km2 (207 sq mi) | | |\n| — | Lierne | Nordland | 2004 | 333 km2 (129 sq mi) | | |\n| - | Lomsdal–Visten | Nordland | 2009 | 682 km2 (263 sq mi) | | |\n| - | Møysalen | Nordland | 2003 | 51 km2 (20 sq mi) | | |\n| - | Nordenskiöld Land | Svalbard | 2003 | 1,362 km2 (526 sq mi) | The park covers the southern part of Nordenskiöld Land, on the north shore of Van Mijenfjorden. Reindalen is Svalbard's largest ice-free valley and features moraines, rock glaciers, pingos and avalanche features. | |\n| Daudmannsodden Lexfjellet IMG 2538.JPG | Nordre Isfjorden | Svalbard | 2003 | 2,954 km2 (1,141 sq mi) | Protecting the northern shore of Isfjorden on Spitsbergen, the park consists of a long shore-line with lush vegetation serving as breeding grounds for birds. | |\n| - | Nordvest-Spitsbergen | Svalbard | 1973 | 9,914 km2 (3,828 sq mi) | The northwestern part of Spitsbergen has the archipelago's most varied nature and features some of the most important cultural heritage sites from whaling and Arctic exploration, such as Smeerenburg and Virgohamna. | |\n| - | Øvre Anárjohka | Finnmark | 1975 | 1,390 km2 (540 sq mi) | | |\n| - | Øvre Dividal | Troms | 1971 | 750 km2 (290 sq mi) | | |\n| - | Øvre Pasvik | Finnmark | 1970 | 119 km2 (46 sq mi) | Part of Pasvik–Inari Trilateral Park, the area is dominated by Siberian-like taiga consisting of old-growth Scots pine, shallow lakes and bog. | |\n| - | Rago | Nordland | 1971 | 171 km2 (66 sq mi) | | |\n| - | Reinheimen | Oppland, Møre og Romsdal | 2006 | 1,969 km2 (760 sq mi) | | |\n| - | Reisa | Troms | 1986 | 803 km2 (310 sq mi) | | |\n| - | Rohkunborri | Troms | 2011 | 571 km2 (220 sq mi) | | |\n| - | Rondane | Hedmark, Oppland | 1962 | 963 km2 (372 sq mi) | | |\n| - | Saltfjellet–Svartisen | Nordland | 1989 | 2,102 km2 (812 sq mi) | | |\n| - | Sassen–Bünsow Land | Svalbard | 2003 | 1,230 km2 (470 sq mi) | The park covers Tempelfjorden, Bünsow Land and the vast fluvial plain of Sassendalen, located at the head of Isfjorden. Tempelfjorden is an important breeding ground for ringed seals, while Sassendalen and Gipsdalen are important breeding grounds for geese. | |\n| - | Seiland | Finnmark | 2006 | 316 km2 (122 sq mi) | | |\n| - | Sjunkhatten | Nordland | 2010 | 417 km2 (161 sq mi) | | |\n| - | Skarvan and Roltdalen | Nord-Trøndelag, Sør-Trøndelag | 2004 | 441 km2 (170 sq mi) | | |\n| - | Sør-Spitsbergen | Svalbard | 1973 | 13,286 km2 (5,130 sq mi) | Covering the southern part of Spitsbergen (Wedel Jarlsberg Land, Torell Land and Sørkapp Land), the western part has jagged mountains while the eastern part is more rounded. | |\n| | Stabbursdalen | Finnmark | 1970 | 747 km2 (288 sq mi) | | |\n| - | Varangerhalvøya | Finnmark | 2006 | 1,804 km2 (697 sq mi) | | |\n| - | Ytre Hvaler | Østfold | 2009 | 354 km2 (137 sq mi) | | |\n| Arendal Tromøy Spornes b.JPG | Raet | Aust-Agder | 2016 | | | |\n| - | Jomfruland | Telemark | 2016 | | | |\n| | Lofotodden | Nordland | 2018 | | | |" + }, + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the latex text format." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|c|c|}\n\\hline\n Image & Name & County(s) & Est. & Area & Description & Ref \\\\\n\\hline\n - & Ånderdalen & Troms & 1970 & 125 km2 (48 sq mi) & & \\\\\n\\hline\n — & Blåfjella–Skjækerfjella & Nord-Trøndelag & 2004 & 1,924 km2 (743 sq mi) & & \\\\\n\\hline\n P1000154Gamle Strynefjellsvegen.JPG & Breheimen & Oppland, Sogn og Fjordane & 2009 & 1,671 km2 (645 sq mi) & & \\\\\n\\hline\n VM.JPG & Børgefjell & Nord-Trøndelag, Nordland & 1963 & 1,447 km2 (559 sq mi) & & \\\\\n\\hline\n - & Dovre & Oppland & 2003 & 289 km2 (112 sq mi) & & \\\\\n\\hline\n - & Dovrefjell–Sunndalsfjella & Møre og Romsdal, Oppland, Sør-Trøndelag & 1974 & 1,693 km2 (654 sq mi) & & \\\\\n\\hline\n - & Færder & Vestfold & 2013 & 350 km2 (140 sq mi) & & \\\\\n\\hline\n - & Femundsmarka & Hedmark, Sør-Trøndelag & 1971 & 573 km2 (221 sq mi) & & \\\\\n\\hline\n - & Folgefonna & Hordaland & 2005 & 545 km2 (210 sq mi) & & \\\\\n\\hline\n - & Forlandet & Svalbard & 1973 & 4,647 km2 (1,794 sq mi) & The park covers the uninhabited island of Prins Karls Forland and the surrounding waters. Forlandet is long and narrow with tall peaks, separated in two by the low Forlandsletta. & \\\\\n\\hline\n - & Forollhogna & Sør-Trøndelag, Hedmark & 2001 & 1,062 km2 (410 sq mi) & & \\\\\n\\hline\n Fulufjellet nasjonalpark 007.JPG & Fulufjellet & Hedmark & 2012 & 83 km2 (32 sq mi) & & \\\\\n\\hline\n - & Gutulia & Hedmark & 1968 & 23 km2 (8.9 sq mi) & & \\\\\n\\hline\n - & Hallingskarvet & Buskerud, Hordaland & 2006 & 450 km2 (170 sq mi) & & \\\\\n\\hline\n - & Hardangervidda & Buskerud, Hordaland, Telemark & 1981 & 3,422 km2 (1,321 sq mi) & & \\\\\n\\hline\n - & Indre Wijdefjorden & Svalbard & 2005 & 1,127 km2 (435 sq mi) & Located in a steep fjord landscape in northern Spitsbergen, the park covers the inner part of Wijdefjorden—the longest fjord on Svalbard. & \\\\\n\\hline\n Briksdalsbreen.JPG & Jostedalsbreen & Sogn og Fjordane & 1991 & 1,310 km2 (510 sq mi) & & \\\\\n\\hline\n Jotunheimen - view from Galdhøpiggen.JPG & Jotunheimen & Oppland, Sogn og Fjordane & 1980 & 1,151 km2 (444 sq mi) & & \\\\\n\\hline\n - & Junkerdal & Nordland & 2004 & 682 km2 (263 sq mi) & & \\\\\n\\hline\n - & Làhku & Nordland & 2012 & 188 km2 (73 sq mi) & & \\\\\n\\hline\n - & Langsua & Oppland & 2011 & 537 km2 (207 sq mi) & & \\\\\n\\hline\n — & Lierne & Nordland & 2004 & 333 km2 (129 sq mi) & & \\\\\n\\hline\n - & Lomsdal–Visten & Nordland & 2009 & 682 km2 (263 sq mi) & & \\\\\n\\hline\n - & Møysalen & Nordland & 2003 & 51 km2 (20 sq mi) & & \\\\\n\\hline\n - & Nordenskiöld Land & Svalbard & 2003 & 1,362 km2 (526 sq mi) & The park covers the southern part of Nordenskiöld Land, on the north shore of Van Mijenfjorden. Reindalen is Svalbard's largest ice-free valley and features moraines, rock glaciers, pingos and avalanche features. & \\\\\n\\hline\n Daudmannsodden Lexfjellet IMG 2538.JPG & Nordre Isfjorden & Svalbard & 2003 & 2,954 km2 (1,141 sq mi) & Protecting the northern shore of Isfjorden on Spitsbergen, the park consists of a long shore-line with lush vegetation serving as breeding grounds for birds. & \\\\\n\\hline\n - & Nordvest-Spitsbergen & Svalbard & 1973 & 9,914 km2 (3,828 sq mi) & The northwestern part of Spitsbergen has the archipelago's most varied nature and features some of the most important cultural heritage sites from whaling and Arctic exploration, such as Smeerenburg and Virgohamna. & \\\\\n\\hline\n - & Øvre Anárjohka & Finnmark & 1975 & 1,390 km2 (540 sq mi) & & \\\\\n\\hline\n - & Øvre Dividal & Troms & 1971 & 750 km2 (290 sq mi) & & \\\\\n\\hline\n - & Øvre Pasvik & Finnmark & 1970 & 119 km2 (46 sq mi) & Part of Pasvik–Inari Trilateral Park, the area is dominated by Siberian-like taiga consisting of old-growth Scots pine, shallow lakes and bog. & \\\\\n\\hline\n - & Rago & Nordland & 1971 & 171 km2 (66 sq mi) & & \\\\\n\\hline\n - & Reinheimen & Oppland, Møre og Romsdal & 2006 & 1,969 km2 (760 sq mi) & & \\\\\n\\hline\n - & Reisa & Troms & 1986 & 803 km2 (310 sq mi) & & \\\\\n\\hline\n - & Rohkunborri & Troms & 2011 & 571 km2 (220 sq mi) & & \\\\\n\\hline\n - & Rondane & Hedmark, Oppland & 1962 & 963 km2 (372 sq mi) & & \\\\\n\\hline\n - & Saltfjellet–Svartisen & Nordland & 1989 & 2,102 km2 (812 sq mi) & & \\\\\n\\hline\n - & Sassen–Bünsow Land & Svalbard & 2003 & 1,230 km2 (470 sq mi) & The park covers Tempelfjorden, Bünsow Land and the vast fluvial plain of Sassendalen, located at the head of Isfjorden. Tempelfjorden is an important breeding ground for ringed seals, while Sassendalen and Gipsdalen are important breeding grounds for geese. & \\\\\n\\hline\n - & Seiland & Finnmark & 2006 & 316 km2 (122 sq mi) & & \\\\\n\\hline\n - & Sjunkhatten & Nordland & 2010 & 417 km2 (161 sq mi) & & \\\\\n\\hline\n - & Skarvan and Roltdalen & Nord-Trøndelag, Sør-Trøndelag & 2004 & 441 km2 (170 sq mi) & & \\\\\n\\hline\n - & Sør-Spitsbergen & Svalbard & 1973 & 13,286 km2 (5,130 sq mi) & Covering the southern part of Spitsbergen (Wedel Jarlsberg Land, Torell Land and Sørkapp Land), the western part has jagged mountains while the eastern part is more rounded. & \\\\\n\\hline\n & Stabbursdalen & Finnmark & 1970 & 747 km2 (288 sq mi) & & \\\\\n\\hline\n - & Varangerhalvøya & Finnmark & 2006 & 1,804 km2 (697 sq mi) & & \\\\\n\\hline\n - & Ytre Hvaler & Østfold & 2009 & 354 km2 (137 sq mi) & & \\\\\n\\hline\n Arendal Tromøy Spornes b.JPG & Raet & Aust-Agder & 2016 & & & \\\\\n\\hline\n - & Jomfruland & Telemark & 2016 & & & \\\\\n\\hline\n & Lofotodden & Nordland & 2018 & & & \\\\\n\\hline\n\\end{tabular}" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table and its metadata. You are required to generate a one-sentence description of highlighted table cells. \nTable title: List of national parks of Norway\nSection title: Current" + }, + { + "from": "gpt", + "value": "The national parks on Spitsberge are Indre Wijdefjorden, Nordenskiöld Land, Nordvest-Spitsbergen and Sør-Spitsbergen." + } + ] + }, + { + "id": "table_instructV_multi_round_30902", + "image": "table_instructV/images/ToTTo_train_table_32924.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| 8 August 2015 Friendly | Bengaluru FC | 5–2 | India U-19 | Bengaluru | |\n| --- | --- | --- | --- | --- | --- |\n| 10:00 IST | Chhetri 5' Alwyn 56' Manju 66' Eugeneson Lyngdoh 82' R. Singh 89' | Report | Lalhlimpuia 6' Singh 21' | Stadium: Bangalore Football Stadium | |" + }, + { + "from": "human", + "value": "Examine the following Wikipedia table, which is titled '2015–16 Bengaluru FC season' and its section is titled 'Pre-season and friendlies'. \nSome important table cells are highlighted with a different background color. Please create a single sentence that summarizes the highlighted table cells." + }, + { + "from": "gpt", + "value": "Bengaluru FC won both Pre-season and friendlies games by 5–2." + } + ] + }, + { + "id": "table_instructV_multi_round_31008", + "image": "table_instructV/images/ToTTo_train_table_24522.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| ICC World XI 344/8 (50 overs) | v | Asia XI 232/10 (39.5 overs) |\n| --- | --- | --- |\n| Australia Ricky Ponting 115 (102) Sri Lanka Muttiah Muralitharan 3/59 (10 overs) | | India Rahul Dravid 75* (71) New Zealand Daniel Vettori 3/58 (10 overs) |" + }, + { + "from": "human", + "value": "Generate a one-sentence summary about the highlighted table cells based on the following Wikipedia table and its metadata. \nTable title: World Cricket Tsunami Appeal\nSection title: Scorecard\nSection text: ICC World XI on the toss and elected to bat" + }, + { + "from": "gpt", + "value": "World XI finished with a total of 344 for 8." + } + ] + }, + { + "id": "table_instructV_multi_round_31021", + "image": "table_instructV/images/ToTTo_train_table_20066.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| name | cylinders | cubic capacity | bore and stroke | tax horsepower | power output | years in production |\n| --- | --- | --- | --- | --- | --- | --- |\n| Ten | 4 sv | 1,097 cc (67 cu in) | 63 x 88 | 9.84 | | 1919–23 |\n| Fifteen | 6 sv | 1,991 cc (121 cu in) | 65 x 100 | 15.72 | | 1921—1925 |\n| Ten/Twenty-six | 4 ohv | 1,308 cc (80 cu in) | 63 x 105 | 9.84 | | 1925–27 |\n| Eight | 4 | 847 cc (52 cu in) | 56 x 86 | 7.78 | | 1926 |\n| Junior | 4 sohc | 850 cc (52 cu in) | | | | 1926–35 |\n| Fourteen/Thirty-four | 6 ohv | 1,776 cc (108 cu in) | 63 x 95 | 14.76 | | 1926 |\n| Fourteen/Thirty-four | 6 ohv | 1,792 cc (109 cu in) | 65 x 90 | 15.72 | | 1926 |\n| Six | 6 | | | | | 1927 |\n| Eight Junior | 4 ohc | 848 cc (52 cu in) | 56 x 86 | 7.78 | 16.5 bhp (12.3 kW; 16.7 PS) @ 3,250 rpm | 1927–32 |\n| Ten | 4 | 1,261 cc (77 cu in) | 65 x 95 | 10.48 | | 1927–32 |\n| Senior | 4 | 1,571 cc (96 cu in) | 69 x 105 | 11.81 | | 1927–30 |\n| Singer 16 | 6 ohv | 1,920 cc (117 cu in) | 65.5 x 95 | 15.96 | | 1929 |\n| Senior Six(Light Six) | 6 sv | 1,792 cc (109 cu in) | 65 x 90 | 15.72 | | 1930—31 |\n| Super Six | 6 ohv | 1,920 cc (117 cu in) | 65.5 x 95 | 15.96 | | 1930–31 |\n| 2-litre | 6 sohc | 2,050 cc (125 cu in) | 69.5 x 90 | 17.97 | 45 bhp (34 kW; 46 PS) @ 3,600 rpm | 1933 |\n| Nine ifs fluidrive | 4 sohc | 972 cc (59 cu in) | 60 x 86 | 8.93 | 31 bhp (23 kW; 31 PS) @ 4,800 rpm | 1933–37 |\n| Nine Le Mans | 4 sohc | 972 cc (59 cu in) | 60 x 86 | 8.93 | 35 bhp (26 kW; 35 PS) @ 4,500 rpm | 1935–36 |\n| Nine Special Speed | 4 sohc | 972 cc (59 cu in) | 60 x 86 | 8.93 | 38 bhp (28 kW; 39 PS) @ 5,000 rpm | 1935 |\n| Twelve | 4 sohc | 1,442 cc (88 cu in) | 69.5 x 95 | 11.98 | 32 bhp (24 kW; 32 PS) @ 3,600 rpm | 1933–35 |\n| 1½ litre Le Mans | 6 sohc | 1,493 cc (91 cu in) | 59 x 91 | 12.95 | 48 bhp (36 kW; 49 PS) @ 4,600 rpm | 1933–37 |\n| Fourteen Six | 6 sohc | 1,612 cc (98 cu in) | 60 x 95 | 13.39 | | 1933 |\n| Silent Six | 6 sohc | 2,162 cc (132 cu in) | 69.5 x 95 | 17.97 | | 1934 |\n| Continental | 6 sohc | 2,162 cc (132 cu in) | 69.5 x 95 | 17.97 | | 1934 |\n| Kaye Don Special | 6 sohc | 2,162 cc (132 cu in) | 69.5 x 95 | 17.97 | | 1934 |\n| Eleven fluidrive | 4 sohc | 1,459 cc (89 cu in) | 66.5 x 105 | 11 | 39 bhp (29 kW; 40 PS) @ 4,000 rpm | 1934–37 |\n| Eleven Airstream | 4 sohc | 1,584 cc (97 cu in) | 69.5 x 105 | 11.98 | 39 bhp (29 kW; 40 PS) @ 4,000 rpm | 1934–36 |\n| Sixteen Six ifs fluidrive | 6 sohc | 1,993 cc (122 cu in) | 65 x 100 | 15.72 | | Aug 1934 onward |\n| Silent Six | 6 sohc | 2,366 cc (144 cu in) | | | | 1934 onward |\n| Bantam Nine | 4 sohc | 972 cc (59 cu in) | 60 x 86 | 8.93 | 30 bhp (22 kW; 30 PS) @ 4,200 rpm | 1936–38 |" + }, + { + "from": "human", + "value": "This image shows a Wikipedia table and its metadata is as follows:\nTable title: Singer Motors\nTable section title: Models\nRelated description of the table: The main models produced were: e. & o.e.\nAccording to the provided table and its metadata, write a sentence to summarize the information in the highlighted table cells." + }, + { + "from": "gpt", + "value": "The Senior is with a capacity of 1,571 cc." + } + ] + }, + { + "id": "table_instructV_multi_round_31106", + "image": "table_instructV/images/ToTTo_train_table_25872.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Year | Community | Municipal unit |\n| --- | --- | --- |\n| 1991 | | 3,239 |\n| 2001 | 588 | 3,107 |\n| 2011 | 548 | 2,475 |" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table and its metadata. You are required to generate a one-sentence description of highlighted table cells. \nTable title: Mouresi\nSection title: Historical population" + }, + { + "from": "gpt", + "value": "In 2011, the population of the community Mouresi was 548, and of the municipal unit was 2,475." + } + ] + }, + { + "id": "table_instructV_multi_round_31144", + "image": "table_instructV/images/TABMWP_27510.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Dog | Weight change (oz.) |\n| --- | --- |\n| Sprinkles | 5 |\n| Champ | -6 |" + }, + { + "from": "human", + "value": "Starting with the provided table, detail your process in solving this problem. Provide a concluding answer in a JSON structure, using the format {\"answer\": \"\"}. \nAbdul has two dogs, Sprinkles and Champ. He is concerned because Sprinkles keeps eating Champ's food. Abdul asks their vet how much each dog's weight has changed since their last visit. Which dog's weight has changed the most? (A) Sprinkles (B) Champ" + }, + { + "from": "gpt", + "value": "To find which dog's weight changed the most, use absolute value. Absolute value tells you how much each dog's weight has changed.\nSprinkles: |5| = 5\nChamp: |-6| = 6\nChamp's weight has changed the most. He has lost 6 ounces.\n\nTherefore, the final answer is {\"answer\": \"Champ\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_31181", + "image": "table_instructV/images/ToTTo_train_table_20296.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Mayor | Term |\n| --- | --- |\n| Joseph Coleman | 1806–1809 |\n| Benjamin J. Bradford | 1809–1811 |\n| William Tait | 1811–1814 |\n| Joseph Thorpe Elliston | 1814–1817 |\n| Stephen Cantrell, Jr. | 1817–1817 |\n| Jackson Baker | 1818–1819 |\n| Felix Robertson | 1818–1819 |\n| Thomas Crutcher | 1819–1820 |\n| James Condon | 1820–1821 |\n| John Patton Erwin | 1821–1822 |\n| Robert Brownlee Currey | 1822–1824 |\n| Randal McGavock | 1824–1825 |\n| Wilkins F. Tannehill | 1825–1827 |\n| Felix Robertson | 1827–1829 |\n| William Armstrong | 1829–1833 |\n| John Meredith Bass | 1833–1834 |\n| John Patton Erwin | 1834–1835 |\n| William Nichol | 1835–1837 |\n| Henry Hollingsworth | 1837–1839 |\n| Charles Clay Trabue | 1839–1841 |\n| Samuel Van Dyke Stout | 1841–1842 |\n| Thomas B. Coleman | 1842–1843 |\n| Powhatan W. Maxey | 1843–1845 |\n| John Hugh Smith | 1845–1846 |\n| John A. Goodlett | 1846–1847 |\n| Alexander Allison | 1847–1849 |\n| John McCormick Lea | 1849–1850 |\n| John Hugh Smith | 1850–1853 |\n| Williamson Hartley Horn | 1853–1854 |\n| William Booker Shapard | 1854–1854 |\n| Robert Bell Castleman | 1854–1856 |\n| Andrew Anderson | 1856–1857 |\n| John A. McEwen | 1857–1858 |\n| Randal William McGavock | 1858–1859 |\n| Samuel N. Hollingsworth | 1859–1860 |" + }, + { + "from": "human", + "value": "Here's a Wikipedia table under the title 'List of mayors of Nashville, Tennessee', with a section titled 'Pre-Civil War' \nBased on the table information, construct a one-sentence summary of the highlighted cells." + }, + { + "from": "gpt", + "value": "Powhatan W. Maxey served as the mayor of Nashville, Tennessee from 1843 to 1845." + } + ] + }, + { + "id": "table_instructV_multi_round_31231", + "image": "table_instructV/images/Rotowire_train_table_2414.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pacers | Indiana | 97 | 17 | 30 | 25 | 25 | 16 | 44 | 7 | 43 | 87 | 40 | 2 | 6 | | | | |\n| Jazz | Utah | 86 | 20 | 21 | 28 | 17 | 18 | 37 | 11 | 43 | 76 | 29 | 3 | 5 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| Roy Hibbert | 33 | 29 | 5 | 1 | 11-21 | 52% | 0-0 | 0% | 7-7 | 100% | 1 | 0 | 1 | 3 | 2 | 2 | C | Indiana |\n| A.J. Price | 25 | 22 | 1 | 1 | 8-12 | 67% | 3-4 | 75% | 3-4 | 75% | 0 | 2 | 0 | 0 | 1 | 1 | N/A | Indiana |\n| Solomon Hill | 37 | 13 | 3 | 2 | 5-12 | 42% | 0-1 | 0% | 3-4 | 75% | 1 | 1 | 0 | 1 | 2 | 2 | G | Indiana |\n| Lavoy Allen | 27 | 12 | 15 | 3 | 6-12 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 6 | 9 | 3 | N/A | Indiana |\n| Luis Scola | 25 | 8 | 8 | 3 | 4-10 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 1 | 7 | 2 | F | Indiana |\n| Chris Copeland | 26 | 6 | 3 | 0 | 2-6 | 33% | 2-3 | 67% | 0-0 | 0% | 0 | 1 | 0 | 1 | 2 | 3 | F | Indiana |\n| Damjan Rudez | 29 | 3 | 2 | 2 | 1-6 | 17% | 1-4 | 25% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Indiana |\n| Ian Mahinmi | 10 | 2 | 4 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 3 | 3 | N/A | Indiana |\n| Donald Sloan | 29 | 2 | 3 | 3 | 1-9 | 11% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 1 | G | Indiana |\n| David West | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Shayne Whittington | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| CJ Miles | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Rodney Stuckey | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Jazz | | | | | | | | | | | | | | | | | | |\n| Gordon Hayward | 36 | 30 | 8 | 5 | 11-15 | 73% | 2-3 | 67% | 6-6 | 100% | 0 | 2 | 1 | 0 | 8 | 1 | F | Utah |\n| Enes Kanter | 25 | 18 | 3 | 0 | 7-8 | 88% | 1-2 | 50% | 3-3 | 100% | 0 | 5 | 2 | 0 | 3 | 2 | C | Utah |\n| Derrick Favors | 35 | 13 | 8 | 1 | 5-13 | 39% | 0-0 | 0% | 3-6 | 50% | 0 | 0 | 2 | 1 | 7 | 4 | F | Utah |\n| Alec Burks | 38 | 9 | 4 | 1 | 4-13 | 31% | 0-1 | 0% | 1-1 | 100% | 1 | 1 | 0 | 1 | 3 | 2 | G | Utah |\n| Trey Burke | 36 | 5 | 2 | 8 | 2-12 | 17% | 1-8 | 13% | 0-0 | 0% | 2 | 0 | 0 | 0 | 2 | 1 | G | Utah |\n| Dante Exum | 19 | 3 | 4 | 0 | 1-5 | 20% | 1-4 | 25% | 0-0 | 0% | 1 | 0 | 0 | 1 | 3 | 3 | N/A | Utah |\n| Rudy Gobert | 13 | 3 | 5 | 0 | 0-1 | 0% | 0-0 | 0% | 3-4 | 75% | 0 | 1 | 1 | 1 | 4 | 3 | N/A | Utah |\n| Joe Ingles | 15 | 3 | 1 | 1 | 1-3 | 33% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Utah |\n| Trevor Booker | 22 | 2 | 2 | 2 | 1-4 | 25% | 0-0 | 0% | 0-1 | 0% | 1 | 2 | 0 | 1 | 1 | 2 | N/A | Utah |\n| Jeremy Evans | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Utah |\n| Steve Novak | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Utah |\n| Ian Clark | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |\n| Toure' Murry | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Utah |" + }, + { + "from": "human", + "value": "With the statistical data from the box-score and line-score tables of the NBA matchup between Pacers and Jazz dated 10/11/2014, draft a detailed narrative describing the game's progression and outcomes." + }, + { + "from": "gpt", + "value": "The Indiana Pacers (2-6) snapped a six-game winning streak, knocking off the Utah Jazz 97-86 on Monday night. The Pacers are currently without four starters, but it was the only starter who 's left that led the charge Monday. Roy Hibbert put up 29 points (11-21 FG, 7-7 FT) with five rebounds, one assist, one block and one steal in 33 minutes. Indiana badly needed to find a way to get the win, as dropping to 1-7 would have been a difficult hole to climb out of. The Pacers got an impressive contribution from newly-signed A.J. Price, who scored 22 points (8-12 FG, 3-4 3Pt, 3-4 FT) in 25 minutes off the bench. Starting point guard Donald Sloan, filling in for George Hill (knee) struggled mightily, contributing just two points on 1-of-9 shooting. For the Jazz, it 's a disappointing double-digit loss to a vastly depleted team. Utah got an impressive performance from Gordon Hayward, who finished with 30 points (11-15 FG, 2-3 3Pt, 6-6 FT) and added eight rebounds and five assists. While Hayward, Derrick Favors and Enes Kanter all scored in double figures, no other player on the team was able to do so, and the bench unit shot just 3-of-13 from the field. Next up, Utah remains on the road, heading to Atlanta to take on the Hawks on Wednesday night. The Pacers travel to Miami to take on the new-look Heat in a rematch of last season 's Eastern Conference Finals." + }, + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the HTML format, presented as plain text." + }, + { + "from": "gpt", + "value": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
TEAM-NAME CITY PTS PTS_QTR1 PTS_QTR2 PTS_QTR3 PTS_QTR4 AST REB TOV FG_PCT FT_PCT FG3_PCT WINS LOSSES
Pacers Indiana 97 17 30 25 25 16 44 7 43 87 40 2 6
Jazz Utah 86 20 21 28 17 18 37 11 43 76 29 3 5
PLAYER_NAME MIN PTS REB AST FG FG_PCT FG3 FG3_PCT FT FT_PCT STL TO BLK OREB DREB PF START_POSITION TEAM_CITY
Pacers
Roy Hibbert 33 29 5 1 11-21 52% 0-0 0% 7-7 100% 1 0 1 3 2 2 C Indiana
A.J. Price 25 22 1 1 8-12 67% 3-4 75% 3-4 75% 0 2 0 0 1 1 N/A Indiana
Solomon Hill 37 13 3 2 5-12 42% 0-1 0% 3-4 75% 1 1 0 1 2 2 G Indiana
Lavoy Allen 27 12 15 3 6-12 50% 0-0 0% 0-0 0% 1 0 1 6 9 3 N/A Indiana
Luis Scola 25 8 8 3 4-10 40% 0-0 0% 0-0 0% 0 0 1 1 7 2 F Indiana
Chris Copeland 26 6 3 0 2-6 33% 2-3 67% 0-0 0% 0 1 0 1 2 3 F Indiana
Damjan Rudez 29 3 2 2 1-6 17% 1-4 25% 0-0 0% 0 0 0 0 2 2 N/A Indiana
Ian Mahinmi 10 2 4 1 1-2 50% 0-0 0% 0-0 0% 0 2 0 1 3 3 N/A Indiana
Donald Sloan 29 2 3 3 1-9 11% 0-3 0% 0-0 0% 0 1 0 0 3 1 G Indiana
David West N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Indiana
Shayne Whittington N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Indiana
CJ Miles N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Indiana
Rodney Stuckey N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Indiana
Jazz
Gordon Hayward 36 30 8 5 11-15 73% 2-3 67% 6-6 100% 0 2 1 0 8 1 F Utah
Enes Kanter 25 18 3 0 7-8 88% 1-2 50% 3-3 100% 0 5 2 0 3 2 C Utah
Derrick Favors 35 13 8 1 5-13 39% 0-0 0% 3-6 50% 0 0 2 1 7 4 F Utah
Alec Burks 38 9 4 1 4-13 31% 0-1 0% 1-1 100% 1 1 0 1 3 2 G Utah
Trey Burke 36 5 2 8 2-12 17% 1-8 13% 0-0 0% 2 0 0 0 2 1 G Utah
Dante Exum 19 3 4 0 1-5 20% 1-4 25% 0-0 0% 1 0 0 1 3 3 N/A Utah
Rudy Gobert 13 3 5 0 0-1 0% 0-0 0% 3-4 75% 0 1 1 1 4 3 N/A Utah
Joe Ingles 15 3 1 1 1-3 33% 1-3 33% 0-0 0% 0 0 0 0 1 0 N/A Utah
Trevor Booker 22 2 2 2 1-4 25% 0-0 0% 0-1 0% 1 2 0 1 1 2 N/A Utah
Jeremy Evans 0 0 0 0 0-0 0% 0-0 0% 0-0 0% 0 0 0 0 0 0 N/A Utah
Steve Novak 1 0 0 0 0-0 0% 0-0 0% 0-0 0% 0 0 0 0 0 0 N/A Utah
Ian Clark N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Utah
Toure' Murry N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A Utah
" + } + ] + }, + { + "id": "table_instructV_multi_round_31273", + "image": "table_instructV/images/TABMWP_25655.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Number of coat racks | Number of jackets |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | ? |" + }, + { + "from": "human", + "value": "Problem: \nEach coat rack has 5 jackets. How many jackets are on 3 coat racks?\n\nAnswer the above problem related to the table. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nSolution:" + }, + { + "from": "gpt", + "value": "Count by fives. Use the chart: there are 15 jackets on 3 coat racks.\n\nThus, the final answer is {\"answer\": \"15\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_31308", + "image": "table_instructV/images/TABMWP_14941.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Number of trains | Number of cars |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | 20 |\n| 5 | 25 |\n| 6 | ? |" + }, + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the latex representation of the table in text format." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|}\n\\hline\n Number of trains & Number of cars \\\\\n\\hline\n 1 & 5 \\\\\n\\hline\n 2 & 10 \\\\\n\\hline\n 3 & 15 \\\\\n\\hline\n 4 & 20 \\\\\n\\hline\n 5 & 25 \\\\\n\\hline\n 6 & ? \\\\\n\\hline\n\\end{tabular}" + }, + { + "from": "human", + "value": "Solve this math word problem based on the given table image. At the end of your output, present the final answer as JSON in the format {\"answer\": \"\"}.\nEach train has 5 cars. How many cars are on 6 trains?" + }, + { + "from": "gpt", + "value": "Count by fives. Use the chart: there are 30 cars on 6 trains.\n\nSo, the answer is {\"answer\": \"30\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_31324", + "image": "table_instructV/images/Rotowire_train_table_78.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Knicks | New York | 99 | 22 | 31 | 25 | 21 | 22 | 34 | 4 | 49 | 77 | 44 | 6 | 36 | | | | |\n| Pelicans | New Orleans | 92 | 16 | 25 | 24 | 27 | 13 | 50 | 9 | 42 | 70 | 30 | 20 | 21 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Knicks | | | | | | | | | | | | | | | | | | |\n| Carmelo Anthony | 36 | 24 | 9 | 3 | 7-15 | 47% | 3-5 | 60% | 7-11 | 64% | 1 | 1 | 2 | 1 | 8 | 1 | F | New York |\n| Langston Galloway | 31 | 21 | 5 | 3 | 8-14 | 57% | 3-6 | 50% | 2-2 | 100% | 0 | 2 | 0 | 2 | 3 | 3 | G | New York |\n| Amar'e Stoudemire | 21 | 14 | 6 | 1 | 6-9 | 67% | 0-1 | 0% | 2-2 | 100% | 0 | 0 | 1 | 2 | 4 | 2 | N/A | New York |\n| Jason Smith | 38 | 12 | 3 | 6 | 6-9 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 2 | 2 | 1 | 1 | C | New York |\n| Tim Hardaway Jr. | 27 | 11 | 3 | 2 | 4-7 | 57% | 3-6 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 3 | N/A | New York |\n| Jose Calderon | 23 | 5 | 1 | 1 | 2-10 | 20% | 1-5 | 20% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | G | New York |\n| Shane Larkin | 15 | 4 | 1 | 4 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | New York |\n| Lance Thomas | 22 | 4 | 3 | 1 | 1-4 | 25% | 0-0 | 0% | 2-2 | 100% | 1 | 0 | 1 | 1 | 2 | 0 | N/A | New York |\n| Lou Amundson | 24 | 4 | 3 | 1 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 2 | 1 | 2 | 1 | F | New York |\n| Travis Wear | 4 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | New York |\n| Cole Aldrich | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Pablo Prigioni | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Quincy Acy | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New York |\n| Pelicans | | | | | | | | | | | | | | | | | | |\n| Tyreke Evans | 41 | 23 | 9 | 3 | 9-20 | 45% | 2-4 | 50% | 3-4 | 75% | 1 | 3 | 0 | 3 | 6 | 1 | G | New Orleans |\n| Eric Gordon | 37 | 20 | 1 | 5 | 7-15 | 47% | 2-6 | 33% | 4-4 | 100% | 0 | 2 | 0 | 0 | 1 | 4 | G | New Orleans |\n| Ryan Anderson | 37 | 11 | 1 | 0 | 4-17 | 24% | 3-13 | 23% | 0-0 | 0% | 0 | 2 | 1 | 0 | 1 | 0 | F | New Orleans |\n| Omer Asik | 27 | 11 | 17 | 0 | 5-8 | 63% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 0 | 6 | 11 | 1 | C | New Orleans |\n| Quincy Pondexter | 26 | 10 | 3 | 0 | 3-5 | 60% | 1-3 | 33% | 3-3 | 100% | 0 | 0 | 0 | 1 | 2 | 3 | N/A | New Orleans |\n| Alexis Ajinca | 26 | 8 | 11 | 1 | 3-8 | 38% | 0-0 | 0% | 2-5 | 40% | 0 | 1 | 0 | 6 | 5 | 2 | N/A | New Orleans |\n| Jimmer Fredette | 10 | 6 | 2 | 2 | 3-5 | 60% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 1 | N/A | New Orleans |\n| Dante Cunningham | 23 | 2 | 4 | 2 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 3 | 4 | F | New Orleans |\n| Jeff Withey | 3 | 1 | 2 | 0 | 0-2 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 2 | 0 | 1 | N/A | New Orleans |\n| Nate Wolters | 8 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | New Orleans |\n| Luke Babbitt | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | New Orleans |\n| Anthony Davis | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |\n| John Salmons | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | New Orleans |" + }, + { + "from": "human", + "value": "Based on the shown data statistics of an NBA game on 01/19/2015, give me a detailed summary for this game." + }, + { + "from": "gpt", + "value": "The Knicks (6-36) thwarted a late comeback and held on to beat the shorthanded Pelicans (20-21) 99-92 on Monday evening. The win snapped a 16-game losing streak, putting an end to one of the most embarrassing stretches in franchise history. New York led by 13 points entering the fourth quarter but allowed the Pelicans, playing without Anthony Davis and Jrue Holiday, to slowly creep back into the game. With just over six minutes to play, Quincy Pondexter connected on a three-pointer to bring New Orleans within six, and a Tyreke Evans layup a few minutes later trimmed the deficit to just three with 3:13 to play. Following a Carmelo Anthony layup, Evans knocked down two free throws and hit a jumper to bring the Pelicans within one with 1:55 to play. After Anthony was called for a charge, the Pelicans could not convert two opportunities on the other end, and New York retained possession up one point with 42 seconds remaining. On the ensuing possession, Anthony kicked the ball out to Jose Calderon, who drilled a three-pointer with 32 seconds left. After Anderson misfired on a three, the Knicks secured the rebound and Anthony hit three straight free throws to ice the game. Anthony’s 24 points led the way for the Knicks, who shot nearly 49 percent from the floor as a team. Langston Galloway added 21 points and five rebounds, while Jason Smith chipped in 12 points. Amar’e Stoudemire added 14 points in 21 minutes off the bench. The Pelicans got 23 points from Evans and 20 from Eric Gordon but were simply unable to compensate for the losses of Holiday and, especially, Davis. While New Orleans out-rebounded New York by a 16-board margin, they blocked just one shot as a team and had just six fast break points. New Orleans has now dropped two of its last three after falling to Philadelphia on Friday and beating the Raptors in Toronto on Sunday." + } + ] + }, + { + "id": "table_instructV_multi_round_31349", + "image": "table_instructV/images/Rotowire_train_table_881.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Timberwolves | Minnesota | 107 | 31 | 27 | 24 | 25 | 26 | 50 | 12 | 49 | 90 | 25 | 26 | 37 | | | | |\n| Clippers | LA | 91 | 19 | 36 | 13 | 23 | 18 | 36 | 16 | 42 | 67 | 38 | 38 | 26 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Karl-Anthony Towns | 35 | 29 | 14 | 2 | 14-21 | 67% | 1-5 | 20% | 0-0 | 0% | 0 | 1 | 0 | 4 | 10 | 3 | C | Minnesota |\n| Andrew Wiggins | 36 | 20 | 2 | 3 | 5-17 | 29% | 0-3 | 0% | 10-10 | 100% | 1 | 1 | 0 | 1 | 1 | 1 | F | Minnesota |\n| Shabazz Muhammad | 26 | 17 | 6 | 0 | 7-13 | 54% | 0-1 | 0% | 3-4 | 75% | 1 | 3 | 0 | 3 | 3 | 1 | G | Minnesota |\n| Ricky Rubio | 33 | 15 | 6 | 12 | 5-12 | 42% | 1-5 | 20% | 4-4 | 100% | 2 | 2 | 0 | 0 | 6 | 5 | G | Minnesota |\n| Kris Dunn | 15 | 8 | 1 | 2 | 3-5 | 60% | 2-2 | 100% | 0-0 | 0% | 1 | 0 | 1 | 0 | 1 | 5 | N/A | Minnesota |\n| Tyus Jones | 18 | 7 | 2 | 3 | 3-4 | 75% | 1-2 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | Minnesota |\n| Gorgui Dieng | 39 | 7 | 9 | 2 | 3-6 | 50% | 0-0 | 0% | 1-2 | 50% | 4 | 1 | 2 | 3 | 6 | 3 | F | Minnesota |\n| Lance Stephenson | 16 | 4 | 3 | 2 | 2-4 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 3 | 0 | N/A | Minnesota |\n| Cole Aldrich | 3 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 1 | N/A | Minnesota |\n| Nemanja Bjelica | 19 | 0 | 5 | 0 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 1 | 2 | 3 | 3 | N/A | Minnesota |\n| Adreian Payne | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Brandon Rush | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Jordan Hill | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Clippers | | | | | | | | | | | | | | | | | | |\n| DeAndre Jordan | 30 | 20 | 13 | 1 | 9-11 | 82% | 0-0 | 0% | 2-5 | 40% | 0 | 0 | 1 | 5 | 8 | 4 | C | LA |\n| Blake Griffin | 36 | 16 | 4 | 2 | 5-11 | 46% | 2-4 | 50% | 4-4 | 100% | 0 | 6 | 0 | 0 | 4 | 4 | F | LA |\n| JJ Redick | 26 | 14 | 1 | 1 | 6-14 | 43% | 2-5 | 40% | 0-0 | 0% | 2 | 1 | 1 | 0 | 1 | 0 | G | LA |\n| Marreese Speights | 15 | 12 | 7 | 0 | 5-10 | 50% | 2-4 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 7 | 1 | N/A | LA |\n| Austin Rivers | 29 | 10 | 2 | 3 | 3-10 | 30% | 2-4 | 50% | 2-3 | 67% | 0 | 1 | 1 | 0 | 2 | 2 | N/A | LA |\n| Chris Paul | 32 | 7 | 3 | 10 | 3-9 | 33% | 1-4 | 25% | 0-1 | 0% | 1 | 3 | 0 | 1 | 2 | 2 | G | LA |\n| Jamal Crawford | 24 | 7 | 1 | 0 | 2-9 | 22% | 0-3 | 0% | 3-3 | 100% | 3 | 3 | 0 | 1 | 0 | 2 | N/A | LA |\n| Luc Mbah a Moute | 16 | 2 | 0 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | F | LA |\n| Raymond Felton | 16 | 2 | 0 | 1 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 0 | 0 | 2 | N/A | LA |\n| Brandon Bass | 7 | 1 | 4 | 0 | 0-4 | 0% | 0-0 | 0% | 1-2 | 50% | 1 | 0 | 0 | 3 | 1 | 1 | N/A | LA |\n| Wesley Johnson | 7 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | LA |\n| Alan Anderson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |\n| Paul Pierce | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LA |" + }, + { + "from": "human", + "value": "Examine the data records in this picture, which depict an NBA game held on 03/08/2017. Use these data statistics to generate a comprehensive summary of the game." + }, + { + "from": "gpt", + "value": "The Minnesota Timberwolves defeated the Los Angeles Clippers, 107-91, at Target Center on Wednesday evening. The Timberwolves (26-37) boast some of the most exciting young talent in the league, but have consistently found defense to be their Achilles' heel. However, they found a way to impressively reverse course Wednesday, styming a talented Clippers (38-26) squad at full strength and goading them into an uncharacteristic 16 turnovers. Minnesota ambushed their visitors to the tune of a 31-19 lead after one quarter, before Los Angeles made up some ground before halftime with a 36-point explosion of their own in the second period. However, the Timberwolves effectively put the game away in the third, outscoring the Clippers by a double-digit margin a second time, 24-13. That left them with a comfortable 82-68 lead heading into the final 12 minutes, one they were able to sustain without much struggle. DeAndre Jordan led the way for Los Angeles with a 20-point, 13-rebound double-double that also included one assist and one block. Blake Griffin provided 16 points, four rebounds and two assists. J.J. Redick turned in 14 points, one rebound, one assist, two steals and one block. Marreese Speights led the second unit with 12 points and six rebounds, while Austin Rivers totaled 10 points, three assists, two rebounds and one block off the bench as well. Chris Paul had an off night shooting (3-9 FG), but he managed to add 10 assists, three rebounds and one steal to his seven points. Karl-Anthony Towns once again paced the Timberwolves, generating a 29-point, 14-rebound double-double and adding two assists, all over just 27 minutes. Andrew Wiggins overcame a 5-for-17 shooting night with a perfect 10-for-10 tally from the free-throw line to compile 20 points. He added three assists, two rebounds and one steal. Shabazz Muhammad drew a rather rare start and went for 17 points, six rebounds and one steal. Ricky Rubio managed a 15-point, 12-assist double-double that also included six rebounds and two steals. Gorgui Dieng chipped in a modest seven points but also provided nine rebounds, two assists, four steals and two blocks. The Clippers will try to put the loss behind them quickly, as they have a Thursday night road showdown on tap with the Memphis Grizzlies. The Timberwolves remain home to tangle with the Golden State Warriors on Friday night." + } + ] + }, + { + "id": "table_instructV_multi_round_31376", + "image": "table_instructV/images/TABMWP_26369.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 5 | 0 |\n| 8 | 3 |\n| 15 | 14 |" + }, + { + "from": "human", + "value": "Answer the following question based on the table information. Let's think step by step. Conclude your response with the final answer in the JSON format, structured as {\"answer\": \"\"}.\nLook at this table. Is this relation a function? (A) yes (B) no" + }, + { + "from": "gpt", + "value": "Look at the x-values in the table.\n\nEach of the x-values is paired with only one y-value, so the relation is a function.\n\nTherefore, the final answer is {\"answer\": \"yes\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_31438", + "image": "table_instructV/images/TABMWP_21399.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 2 | 3 |\n| 3 | 7 |\n| 4 | 16 |" + }, + { + "from": "human", + "value": "Question: The table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear\nSolve the above question based on the table. Conclude your response with a final answer in the JSON format {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{7 - 3}{3 - 2}\n = \\frac{4}{1}\n = 4\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the first row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{16 - 3}{4 - 2}\n = \\frac{13}{2}\n = 6\\frac{1}{2}\nThe rate of change is not the same for each pair of points. So, the function does not have a constant rate of change.\nThe function is nonlinear.\n\nThus, the final answer is {\"answer\": \"nonlinear\"}." + }, + { + "from": "human", + "value": "Given this table, what are the contents in row 2? Show the cells in a row in the JSON format {\"row_id\":\"\", \"cell_list\":\"\"}. For example, {\"row_id\":\"1\", \"cell_list\": [\"A\", \"B\", \"C\"]}." + }, + { + "from": "gpt", + "value": "The cells in row 2: {\"row_id\": \"2\", \"cell_list\": ['2', '3']}" + } + ] + }, + { + "id": "table_instructV_multi_round_31447", + "image": "table_instructV/images/ToTTo_train_table_9838.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Season | Champion | Motorcycle | Wins | Team |\n| --- | --- | --- | --- | --- |\n| 1976 | United Kingdom Reg Pridmore | BMW | 2 | Butler & Smith |\n| 1977 | United Kingdom Reg Pridmore | Kawasaki | 1 | Racecrafters |\n| 1978 | United Kingdom Reg Pridmore | Kawasaki | 0 | Vetter |\n| 1979 | United States Wes Cooley | Suzuki | 0 | Yoshimura |\n| 1980 | United States Wes Cooley | Suzuki | 3 | Yoshimura |\n| 1981 | United States Eddie Lawson | Kawasaki | 4 | Team Muzzy |\n| 1982 | United States Eddie Lawson | Kawasaki | 5 | Team Muzzy |\n| 1983 | United States Wayne Rainey | Kawasaki | 6 | Team Muzzy |\n| 1984 | United States Fred Merkel | Honda | 10 | American Honda |\n| 1985 | United States Fred Merkel | Honda | 6 | American Honda |\n| 1986 | United States Fred Merkel | Honda | 2 | American Honda |\n| 1987 | United States Wayne Rainey | Honda | 3 | American Honda |\n| 1988 | United States Bubba Shobert | Honda | 3 | American Honda |\n| 1989 | United States Jamie James | Suzuki | 1 | Yoshimura |\n| 1990 | United States Doug Chandler | Kawasaki | 4 | Team Muzzy |\n| 1991 | United States Thomas Stevens | Yamaha | 1 | Vance & Hines |\n| 1992 | United States Scott Russell | Kawasaki | 3 | Team Muzzy |\n| 1993 | United States Doug Polen | Ducati | 6 | Fast by Ferracci |\n| 1994 | Australia Troy Corser | Ducati | 3 | Fast by Ferracci |\n| 1995 | Canada Miguel Duhamel | Honda | 6 | Commonwealth Racing |\n| 1996 | United States Doug Chandler | Kawasaki | 2 | Team Muzzy |\n| 1997 | United States Doug Chandler | Kawasaki | 1 | Team Muzzy |\n| 1998 | United States Ben Bostrom | Honda | 0 | American Honda |\n| 1999 | Australia Mat Mladin | Suzuki | 1 | Yoshimura |\n| 2000 | Australia Mat Mladin | Suzuki | 4 | Yoshimura |\n| 2001 | Australia Mat Mladin | Suzuki | 4 | Yoshimura |\n| 2002 | United States Nicky Hayden | Honda | 9 | American Honda |\n| 2003 | Australia Mat Mladin | Suzuki | 10 | Yoshimura |\n| 2004 | Australia Mat Mladin | Suzuki | 8 | Yoshimura |\n| 2005 | Australia Mat Mladin | Suzuki | 11 | Yoshimura |\n| 2006 | United States Ben Spies | Suzuki | 10 | Yoshimura |\n| 2007 | United States Ben Spies | Suzuki | 7 | Yoshimura |\n| 2008 | United States Ben Spies | Suzuki | 7 | Yoshimura |\n| 2009 | Australia Mat Mladin | Suzuki | 10 | Yoshimura |\n| 2010 | United States Josh Hayes | Yamaha | 7 | Yamaha Factory Racing |\n| 2011 | United States Josh Hayes | Yamaha | 3 | Yamaha Factory Racing |\n| 2012 | United States Josh Hayes | Yamaha | 16 | Yamaha Factory Racing |\n| 2013 | United States Josh Herrin | Yamaha | 4 | Yamaha Factory Racing |\n| 2014 | United States Josh Hayes | Yamaha | 7 | Yamaha Factory Racing |\n| 2015 | United States Cameron Beaubier | Yamaha | 8 | Yamaha Factory Racing |\n| 2016 | United States Cameron Beaubier | Yamaha | 8 | Yamaha Factory Racing |\n| 2017 | Spain Toni Elías | Suzuki | 10 | Yoshimura |\n| 2018 | United States Cameron Beaubier | Yamaha | 7 | Yamaha Factory Racing |" + }, + { + "from": "human", + "value": "Examine the following Wikipedia table, which is titled 'List of AMA Superbike champions' and its section is titled 'By season'. \nSome important table cells are highlighted with a different background color. Please create a single sentence that summarizes the highlighted table cells." + }, + { + "from": "gpt", + "value": "Pridmore became the 1978 Superbike Champion for Vetter, to add to his previous 1976 and 1977 titles." + } + ] + }, + { + "id": "table_instructV_multi_round_31535", + "image": "table_instructV/images/Rotowire_train_table_3313.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Suns | Phoenix | 106 | 29 | 16 | 26 | 35 | 16 | 50 | 20 | 43 | 56 | 33 | 14 | 44 | | | | |\n| Nets | Brooklyn | 116 | 34 | 32 | 24 | 26 | 21 | 42 | 17 | 49 | 81 | 44 | 16 | 42 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Suns | | | | | | | | | | | | | | | | | | |\n| Mirza Teletovic | 30 | 30 | 11 | 1 | 12-23 | 52% | 5-13 | 39% | 1-1 | 100% | 0 | 4 | 0 | 4 | 7 | 6 | N/A | Phoenix |\n| Ronnie Price | 38 | 16 | 0 | 3 | 7-14 | 50% | 2-7 | 29% | 0-0 | 0% | 4 | 2 | 1 | 0 | 0 | 2 | G | Phoenix |\n| Alex Len | 17 | 13 | 6 | 0 | 5-10 | 50% | 0-0 | 0% | 3-7 | 43% | 0 | 2 | 0 | 3 | 3 | 5 | N/A | Phoenix |\n| Tyson Chandler | 33 | 12 | 11 | 1 | 5-9 | 56% | 0-0 | 0% | 2-4 | 50% | 2 | 3 | 2 | 3 | 8 | 5 | C | Phoenix |\n| Devin Booker | 30 | 12 | 1 | 2 | 3-12 | 25% | 1-3 | 33% | 5-6 | 83% | 0 | 0 | 0 | 0 | 1 | 4 | G | Phoenix |\n| Phil Pressey | 20 | 10 | 0 | 4 | 4-6 | 67% | 0-0 | 0% | 2-2 | 100% | 2 | 4 | 0 | 0 | 0 | 3 | N/A | Phoenix |\n| PJ Tucker | 31 | 7 | 5 | 2 | 3-6 | 50% | 1-2 | 50% | 0-0 | 0% | 2 | 0 | 0 | 3 | 2 | 2 | F | Phoenix |\n| Jon Leuer | 5 | 4 | 2 | 0 | 2-4 | 50% | 0-1 | 0% | 0-1 | 0% | 0 | 0 | 0 | 2 | 0 | 1 | N/A | Phoenix |\n| John Jenkins | 4 | 2 | 1 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Phoenix |\n| Sonny Weems | 3 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 0 | 0 | N/A | Phoenix |\n| Kris Humphries | 11 | 0 | 10 | 1 | 0-9 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 3 | 0 | 6 | 4 | 1 | F | Phoenix |\n| Archie Goodwin | 18 | 0 | 3 | 2 | 0-3 | 0% | 0-0 | 0% | 0-2 | 0% | 0 | 1 | 0 | 0 | 3 | 0 | N/A | Phoenix |\n| Brandon Knight | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Nets | | | | | | | | | | | | | | | | | | |\n| Bojan Bogdanovic | 38 | 24 | 2 | 0 | 8-16 | 50% | 3-9 | 33% | 5-5 | 100% | 0 | 4 | 0 | 1 | 1 | 2 | F | Brooklyn |\n| Thaddeus Young | 36 | 18 | 8 | 3 | 8-11 | 73% | 0-0 | 0% | 2-2 | 100% | 7 | 1 | 3 | 3 | 5 | 2 | F | Brooklyn |\n| Markel Brown | 25 | 16 | 3 | 1 | 4-7 | 57% | 2-2 | 100% | 6-8 | 75% | 1 | 1 | 0 | 2 | 1 | 3 | N/A | Brooklyn |\n| Donald Sloan | 24 | 13 | 9 | 6 | 3-6 | 50% | 0-1 | 0% | 7-10 | 70% | 0 | 1 | 0 | 0 | 9 | 0 | G | Brooklyn |\n| Wayne Ellington | 23 | 12 | 3 | 1 | 3-10 | 30% | 1-4 | 25% | 5-5 | 100% | 0 | 0 | 0 | 0 | 3 | 1 | G | Brooklyn |\n| Brook Lopez | 30 | 12 | 6 | 2 | 4-10 | 40% | 0-0 | 0% | 4-6 | 67% | 1 | 2 | 1 | 1 | 5 | 5 | C | Brooklyn |\n| Shane Larkin | 25 | 11 | 0 | 6 | 4-7 | 57% | 1-1 | 100% | 2-2 | 100% | 1 | 5 | 0 | 0 | 0 | 1 | N/A | Brooklyn |\n| Chris McCullough | 9 | 4 | 1 | 0 | 1-3 | 33% | 0-0 | 0% | 2-2 | 100% | 2 | 0 | 0 | 0 | 1 | 2 | N/A | Brooklyn |\n| Sergey Karasev | 10 | 3 | 1 | 1 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Brooklyn |\n| Thomas Robinson | 14 | 2 | 5 | 1 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 2 | 0 | 5 | 3 | N/A | Brooklyn |\n| Willie Reed | 7 | 1 | 4 | 0 | 0-1 | 0% | 0-0 | 0% | 1-2 | 50% | 0 | 1 | 2 | 2 | 2 | 2 | N/A | Brooklyn |" + }, + { + "from": "human", + "value": "Utilizing the data from the box-score and line-score tables of the NBA game featuring Suns versus Nets on February 25, 2016, craft a game report highlighting the key moments and statistics." + }, + { + "from": "gpt", + "value": "The Brooklyn Nets (16-42) defeated the host Phoenix Suns (14-44) 116-106, Thursday night at Talking Stick Resort Arena. The Suns and the Nets represent two of the worst records in the NBA this season. With this result Phoenix suffered its 13th straight loss, tying a franchise-high. This loss also marked a franchise-high eighth-straight home loss for the Suns. Although they are far out of the playoff race, the Nets have been playing slightly better as of late, winning four of their last eight games, after a horrible stretch during which they lost 15 of 17. The Nets waived Joe Johnson early on Thursday, which gave some of their younger players a chance to showcase their skills in this contest and they did just that. Bojan Bogdanovic recorded a career-high 24 points (8-16 FG, 3-9 3Pt, 5-5 FT), in 38 minutes, while Markel Brown chipped in 16 points (4-7 FG, 2-2 3Pt, 6-8 FT), along with three rebounds, one assist and one steal, in 24 minutes off the bench. Thaddeus Young also stepped it up as he finished with 18 points (8-11 FG, 2-2 FT), eight rebounds, seven steals, three assists and three blocked shots, in 36 minutes. Despite giving up 18 turnovers, the Nets played well offensively, shooting 49 percent from the field, 44 percent from long range and hitting 34-of-42 free throws. Phoenix did not do a good job of controlling the ball and establishing rhythm as they gave up 21 turnovers and recorded only 16 assists on 42 made field goals. Mirza Teletovic stood out as a bright spot for the Suns, as he tallied 30 points (12-23 FG, 5-13 3Pt, 1-1 FT), along with 11 rebounds, in 30 minutes off the bench. Tyson Chandler recorded 12 points (5-9 FG, 2-4 FT), 11 rebounds, two steals, one assist and one block, in 33 minutes, after missing two games with a sore shoulder. Alex Len chipped in 13 points (5-10 FG, 3-7 FT) and six rebounds, in 17 minutes. Len 's status for this game was in question after he twisted his ankle in practice on Wednesday. The Suns battled back after entering the fourth down-19, to bring it as close as 10, a difference their 13 missed free throws would have more than settled. The Suns will host the Grizzlies on Saturday, and will look to avoid setting a single-season, franchise-high 14th straight loss. The Nets will move on to Utah to play the Jazz on Saturday, in what will be their third game of a nine-game road trip." + } + ] + }, + { + "id": "table_instructV_multi_round_31558", + "image": "table_instructV/images/TABMWP_19419.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 7 | 14 |\n| 8 | 12 |\n| 9 | 10 |" + }, + { + "from": "human", + "value": "Please identify the row and column numbers of the table displayed in this image. The JSON format {\"row_number\": \"m\", \"column_number\": \"n\"} should be utilized to display the ultimate result." + }, + { + "from": "gpt", + "value": "This table has 4 rows and 2 columns. Thus, the final answer is {\"row_number\": \"4\", \"column_number\": \"2\"}." + }, + { + "from": "human", + "value": "The table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear\n\nSolve the above problem using the table information. Finally, your final answer should be in the JSON format of {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{12 - 14}{8 - 7}\n = \\frac{-2}{1}\n = -2\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the second row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{10 - 12}{9 - 8}\n = \\frac{-2}{1}\n = -2\nThe two rates of change are the same.\n2.\nThis means the rate of change is the same for each pair of points. So, the function has a constant rate of change.\nThe function is linear.\n\nSo, the answer is {\"answer\": \"linear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_31637", + "image": "table_instructV/images/ToTTo_train_table_24464.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Res. | Record | Opponent | Method | Event | Date | Round | Time | Location | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | 28–10 | Alexandr Shabliy | Decision (unanimous) | FNG - Fight Nights Global 87 | May 19, 2018 | 3 | 5:00 | Rostov, Russia | |\n| Loss | 28–9 | Kajan Johnson | KO (punch) | UFC 215 | September 9, 2017 | 3 | 0:49 | Edmonton, Alberta, Canada | |\n| Loss | 28–8 | Leonardo Santos | Decision (split) | UFC 204 | October 8, 2016 | 3 | 4:32 | Manchester, England | |\n| Win | 28–7 | Islam Makhachev | KO (punch) | UFC 192 | October 3, 2015 | 1 | 1:46 | Houston, Texas, United States | Performance of the Night. |\n| Win | 27–7 | Rustam Khabilov | Decision (split) | UFC Fight Night: Bigfoot vs. Mir | February 22, 2015 | 3 | 5:00 | Porto Alegre, Brazil | |\n| Win | 26–7 | Juan Puig | KO (punch) | The Ultimate Fighter: Team Edgar vs. Team Penn Finale | July 6, 2014 | 1 | 2:21 | Las Vegas, Nevada, United States | Performance of the Night. |\n| Loss | 25–7 | Donald Cerrone | KO (head kick) | UFC on Fox: Henderson vs. Thomson | January 25, 2014 | 1 | 4:40 | Chicago, Illinois, United States | |\n| Win | 25–6 | Daron Cruickshank | Submission (straight armbar) | UFC Fight Night: Belfort vs. Henderson | November 9, 2013 | 2 | 2:49 | Goiânia, Brazil | Submission of the Night. |\n| Win | 24–6 | Jorge Gurgel | Decision (unanimous) | Strikeforce: Marquardt vs. Saffiedine | January 12, 2013 | 3 | 5:00 | Oklahoma City, Oklahoma, United States | |\n| Win | 23–6 | Jimmy Donahue | TKO (punches) | Jungle Fight 37 | March 31, 2012 | 1 | 1:02 | São Paulo, Brazil | Defended the Jungle Fight Lightweight Championship. |\n| Win | 22–6 | Neilson Gomes | TKO (punches) | Jungle Fight 34 | November 26, 2011 | 1 | 1:21 | Rio de Janeiro, Brazil | Won the interim Jungle Fight Lightweight Championship. |\n| Win | 21–6 | Marcio Castanheira | Submission (guillotine choke) | Mr. Cage 6 | September 30, 2011 | 1 | N/A | Manaus, Brazil | |\n| Win | 20–6 | Diego Braga Alves | Decision (unanimous) | WFE 10: Platinum | September 16, 2011 | 5 | 5:00 | Salvador, Brazil | Won the WFE Lightweight Championship. |\n| Loss | 19–6 | Francisco Trinaldo | Decision (majority) | Jungle Fight 30 | July 30, 2011 | 3 | 5:00 | Belém, Brazil | For the Jungle Fight Lightweight Championship. |\n| Win | 19–5 | Jamil Silveira | TKO (punches) | Mr. Cage 5 | April 29, 2011 | 2 | 2:19 | Manaus, Brazil | |\n| Win | 18–5 | Ronildo Augusto | TKO (punches) | Jungle Fight 27 | April 21, 2011 | 1 | 2:54 | Brasília, Brazil | Won the interim Jungle Fight Lightweight Championship. |\n| Win | 17–5 | Nilson Assunção | TKO (corner stoppage) | Jungle Fight 26 | April 2, 2011 | 1 | N/A | São Paulo, Brazil | |\n| Win | 16–5 | Ronys Torres | Decision (unanimous) | Amazon Show Combat | September 9, 2010 | 3 | 5:00 | Manaus, Brazil | |\n| Win | 15–5 | Pedro Irie | Decision (split) | MF 7: Rally Brazil | July 24, 2010 | 3 | 5:00 | Itatiba, Brazil | |\n| Win | 14–5 | Dylan Clay | Decision (unanimous) | VTC: Brazil vs. USA | March 6, 2010 | 3 | 5:00 | Manaus, Brazil | |\n| Loss | 13–5 | Jamil Silveira | Decision (split) | Vision Fight | December 20, 2009 | 3 | 5:00 | Boa Vista, Brazil | |\n| Win | 13–4 | Daniel Trindade | Decision (unanimous) | Roraima Show Fight 5 | July 12, 2009 | 3 | 5:00 | Boa Vista, Brazil | |\n| Win | 12–4 | Luis Santos | Decision (split) | Hero's The Jungle 3 | May 9, 2009 | 3 | 5:00 | Manaus, Brazil | |\n| Loss | 11–4 | Keita Nakamura | Decision (split) | Dream 6 | September 23, 2008 | 2 | 5:00 | Saitama, Japan | |\n| Loss | 11–3 | Ronys Torres | TKO (doctor stoppage) | Hero's the Jungle 2 | April 7, 2008 | 2 | N/A | Manaus, Brazil | |\n| Win | 11–2 | Diego Braga Alves | Decision (unanimous) | Amazon Challenge 2 | March 1, 2008 | 3 | 5:00 | Manaus, Brazil | |\n| Win | 10–2 | Michel Addario Bastos | TKO (punches) | Hero's the Jungle | October 13, 2007 | 1 | 4:24 | Manaus, Brazil | |\n| Win | 9–2 | Julian Fabrin | TKO (punches) | Cassino Fight 4 | September 15, 2007 | 3 | 1:19 | Manaus, Brazil | |\n| Win | 8–2 | Luciano Azevedo | Decision (split) | Cassino Fight 3 | April 21, 2007 | 3 | 5:00 | Manaus, Brazil | |\n| Win | 7–2 | Steve Reyna | Submission (rear-naked choke) | Jungle Fight 6 | April 29, 2006 | 2 | 0:35 | Manaus, Brazil | |\n| Win | 6–2 | Daniel Trindade | KO (knee) | Roraima Kombat | April 8, 2006 | 2 | 3:01 | Boa Vista, Brazil | |\n| Win | 5–2 | Jorge Clay | TKO (punches) | Amazon Ultimate Fight | June 4, 2005 | 3 | 1:40 | Manaus, Brazil | |\n| Win | 4–2 | Daniel Trindade | KO (punches) | Roraima Combat 1 | April 8, 2005 | 2 | N/A | Boa Vista, Brazil | |\n| Loss | 3–2 | Gleison Tibau | Decision (unanimous) | Amazônia Fight 1 | June 20, 2005 | 3 | 5:00 | Manaus, Brazil | |\n| Loss | 3–1 | Boris Jonstomp | Decision | Jungle Fight 2 | May 15, 2004 | 3 | 5:00 | Manaus, Brazil | |\n| Win | 3–0 | Erick Cardoso | Decision (unanimous) | Gladiator of the Jungle 1 | March 7, 2004 | 1 | 10:00 | Manaus, Brazil | |\n| Win | 2–0 | Robert Fonseca | KO (punches) | Gladiator of the Jungle 1 | March 7, 2004 | 1 | 4:53 | Manaus, Brazil | |\n| Win | 1–0 | Lucas Lopes | Decision (unanimous) | Gladiator of the Jungle 1 | March 7, 2004 | 1 | 10:00 | Manaus, Brazil | |" + }, + { + "from": "human", + "value": "Presented is a Wikipedia table named 'Adriano Martins', which is extracted from a section heading 'Mixed martial arts record'.\nAs you can see, some table cells are highlighted with a different color. Please generate a one-sentence summary of these cells." + }, + { + "from": "gpt", + "value": "Martins faced Leonardo Santos on October 8, 2016 at UFC 204." + } + ] + }, + { + "id": "table_instructV_multi_round_31646", + "image": "table_instructV/images/Rotowire_train_table_1951.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pacers | Indiana | 85 | 17 | 19 | 23 | 26 | 16 | 38 | 16 | 38 | 82 | 27 | 1 | 2 | | | | |\n| Raptors | Toronto | 101 | 24 | 29 | 18 | 30 | 18 | 45 | 11 | 42 | 81 | 32 | 2 | 1 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| Paul George | 42 | 25 | 10 | 6 | 6-19 | 32% | 1-8 | 13% | 12-12 | 100% | 1 | 4 | 1 | 1 | 9 | 3 | F | Indiana |\n| Myles Turner | 31 | 17 | 8 | 1 | 7-12 | 58% | 0-0 | 0% | 3-4 | 75% | 0 | 1 | 3 | 5 | 3 | 3 | N/A | Indiana |\n| George Hill | 33 | 13 | 3 | 2 | 3-7 | 43% | 2-4 | 50% | 5-6 | 83% | 1 | 1 | 0 | 1 | 2 | 3 | G | Indiana |\n| Solomon Hill | 28 | 8 | 3 | 2 | 2-5 | 40% | 2-3 | 67% | 2-2 | 100% | 0 | 0 | 0 | 0 | 3 | 2 | N/A | Indiana |\n| Ian Mahinmi | 24 | 7 | 4 | 0 | 3-5 | 60% | 0-0 | 0% | 1-4 | 25% | 0 | 4 | 1 | 1 | 3 | 4 | C | Indiana |\n| Monta Ellis | 36 | 7 | 6 | 4 | 3-9 | 33% | 0-2 | 0% | 1-2 | 50% | 1 | 4 | 0 | 1 | 5 | 2 | G | Indiana |\n| Rodney Stuckey | 17 | 5 | 1 | 0 | 1-2 | 50% | 0-0 | 0% | 3-3 | 100% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Indiana |\n| Joe Young | 1 | 3 | 0 | 0 | 1-2 | 50% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Indiana |\n| Glenn Robinson | 1 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Indiana |\n| Ty Lawson | 7 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Indiana |\n| CJ Miles | 8 | 0 | 1 | 1 | 0-3 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 0 | N/A | Indiana |\n| Jordan Hill | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Indiana |\n| Lavoy Allen | 9 | 0 | 2 | 0 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 2 | 0 | F | Indiana |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| DeMar DeRozan | 36 | 21 | 2 | 3 | 7-19 | 37% | 0-1 | 0% | 7-9 | 78% | 2 | 2 | 0 | 0 | 2 | 2 | G | Toronto |\n| Kyle Lowry | 40 | 21 | 4 | 8 | 8-21 | 38% | 4-10 | 40% | 1-2 | 50% | 1 | 2 | 0 | 2 | 2 | 3 | G | Toronto |\n| DeMarre Carroll | 35 | 17 | 5 | 0 | 7-16 | 44% | 3-9 | 33% | 0-0 | 0% | 1 | 2 | 1 | 4 | 1 | 3 | F | Toronto |\n| Cory Joseph | 24 | 10 | 2 | 4 | 5-10 | 50% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 2 | 2 | N/A | Toronto |\n| Jonas Valanciunas | 27 | 9 | 14 | 0 | 3-8 | 38% | 0-0 | 0% | 3-3 | 100% | 0 | 2 | 1 | 4 | 10 | 5 | C | Toronto |\n| Patrick Patterson | 26 | 7 | 4 | 0 | 2-7 | 29% | 1-5 | 20% | 2-2 | 100% | 1 | 1 | 1 | 1 | 3 | 1 | N/A | Toronto |\n| Bismack Biyombo | 21 | 6 | 8 | 0 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 3 | 5 | 5 | N/A | Toronto |\n| Terrence Ross | 10 | 5 | 3 | 2 | 2-3 | 67% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 2 | N/A | Toronto |\n| Luis Scola | 16 | 3 | 2 | 1 | 1-4 | 25% | 1-3 | 33% | 0-0 | 0% | 0 | 1 | 0 | 1 | 1 | 3 | F | Toronto |\n| Norman Powell | 3 | 2 | 1 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Toronto |\n| Delon Wright | 1 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Toronto |\n| James Johnson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Jason Thompson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |" + }, + { + "from": "human", + "value": "With the statistical data from the box-score and line-score tables of the NBA matchup between Pacers and Raptors dated 04/21/2016, draft a detailed narrative describing the game's progression and outcomes." + }, + { + "from": "gpt", + "value": "The Toronto Raptors defeated the host Indiana Pacers, 101-85, to take a 2-1 lead in the Eastern Conference first-round playoffs Thursday at Bankers Life Fieldhouse. Just as the Pacers had ambushed the Raptors in the first game of the series on their home court, Toronto returned the favor by playing the role of unruly visitor in Indiana. The Raptors established themselves early, jumping out to a 24-17 lead after one quarter. That margin extended to 53-36 by intermission, as Toronto was able to receive contributions from two key components that had been quiet in the series until now. DeMarre Carroll (17 points) and DeMar DeRozan (21 points) both stepped up to help postseason stalwarts Kyle Lowry and Jonas Valanciunas, allowing the Raptors to essentially cruise to a 2-1 series lead. DeRozan and Lowry co-led the attack with their respective 21-point totals. The former also pitched in with three assists, two rebounds and two steals, while the latter handed out eight assists, hauled in four rebounds and recorded a steal. Carroll supplied 17 points, five rebounds, a steal and a block. Valanciunas had his lowest scoring total of the series so far (nine points), but snared 14 boards and recorded a block. Cory Joseph continued to play well off the bench, leading the reserves with 10 points, four assists, two rebounds and a steal. Paul George did the heavy lifting for the Pacers for the third straight game, tallying 25 points, 10 rebounds, six assists, a steal and a block. George Hill contributed 13 points, three rebounds, two assists and a steal. Monta Ellis, who 'd missed practice Wednesday with a personal issue, could only muster seven points, six rebounds, four assists and a steal. Myles Turner led the reserves with 17 points, eight rebounds, an assist and three blocks. The two teams reconvene for Game 4 on Saturday afternoon at Bankers Life Fieldhouse." + } + ] + }, + { + "id": "table_instructV_multi_round_31667", + "image": "table_instructV/images/ToTTo_train_table_349.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Games | Gold | Silver | Bronze |\n| --- | --- | --- | --- |\n| 1998 | Australia (AUS) Michael Brennan Adam Commens Stephen Davies Damon Diletti Jason Duff James Elmer Paul Gaudoin Mark Hickman Jeremy Hiskins Stephen Holt Brent Livermore Matthew Smith Daniel Sproule Jay Stacy Lachlan Vivian-Taylor Michael York | Malaysia (MAS) Nur Azlan Bakar Nor Saiful Zaini Mirnawan Nawawi Roslan Jamaluddin Calvin Fernandez Gobinathan Krishnamurthy Maninderjit Singh Chairil Anwar Abdul Aziz K. | England (ENG) Bob Crutchley Guy Fordham Julian Halls Stuart Head Russell Garcia Brett Garrard Michael Johnson David Luckes Simon Mason Mark Pearn Justin Pidcock Ben Sharpe Jimmy Wallis Bill Waugh Duncan Woods Jon Wyatt |\n| 2002 | Australia (AUS) Aaron Hopkins Ben Taylor Bevan George Brent Livermore Craig Victory Dean Butler Jamie Dwyer Liam de Young Mark Hickman Matthew Smith Matthew Wells Michael McCann Paul Gaudoin Scott Webster Stephen Lambert Troy Elder | New Zealand (NZL) Bevan Hari Blair Hopping Darren Smith David Kosoof Dean Couzins Dion Gosling Hayden Shaw Michael Bevin Mitesh Patel Paul Woolford Peter Stafford Phillip Burrows Ryan Archibald Simon Towns Umesh Parag Wayne McIndoe | Pakistan (PAK) Ahmed Alam Ghazanfar Ali Kamran Ashraf Kashif Jawad Mudassar Ali Khan Muhammad Khalid Muhammad Nadeem Muhammad Qasim Muhammad Saqlain Muhammad Sarwar Muhammad Shabbir Muhammad Usman Sohail Abbas Tariq Imran Waseem Ahmad Zeeshan Ashraf |\n| 2006 | Australia (AUS) Jamie Dwyer Liam de Young Michael McCann Robert Hammond Nathan Eglington Mark Knowles Luke Doerner Grant Schubert Bevan George Stephen Lambert Aaron Hopkins Matthew Wells Travis Brooks Brent Livermore Dean Butler Stephen Mowlam | Pakistan (PAK) Salman Akbar Imram Warsi Muhammad Saqlain Dilawar Hussain Adnan Maqsood Tariq Aziz Rehan Butt Muhammad Shabbir Nasir Ahmed Mudassar Ali Khan Shakeel Abbasi Imran Khan Yousafzai Adnan Zakir Muhammad Imran Zeeshan Ashraf Muhammad Zubair | Malaysia (MAS) Ibrahim Mohamed Nasihin Rahim Muhamad Amin Chua Boon Huat Kali Logan Raj Kuhan Shanmuganathan Bakar Nor Azlan Megat Termizi Megat Azrafiq Mohan Jiwa Nor Mohamed Madzli Tengku Ahmad Tajuddin Razie Rahim Kali Keevan Raj Ismail Abu Azlan Misron Mohan Jivan Kumar Subramaniam |\n| 2010 | Australia (AUS) Chris Ciriello Des Abbott Eddie Ockenden Fergus Kavanagh Glenn Turner Jamie Dwyer Jason Wilson Joel Carroll Liam de Young Luke Doerner Mark Knowles Matthew Swann Nathan Burgers Robert Hammond Simon Orchard Trent Mitton | India (IND) Sandeep Singh Bharat Chettri Arjun Halappa Sardara Singh Sarvanjit Singh Gurbaj Singh Tushar Khandker Rajpal Singh Shivendra Singh Bharat Chikara Dhananjay Mahadik Vikram Pillay Danish Mujtaba Dharamvir Singh Prabodh Tirkey Ravi Pal | New Zealand (NZL) Phillip Burrows Simon Child Dean Couzins Steve Edwards Nick Haig Andrew Hayward Blair Hilton Hugo Inglis Stephen Jenness Shea McAleese Arun Panchia Kyle Pontifex Bradley Shaw Hayden Shaw Blair Tarrant Nick Wilson |\n| 2014 | Australia (AUS) Simon Orchard Chris Ciriello Mark Knowles Eddie Ockenden Jacob Whetton Matthew Gohdes Aran Zalewski Tristan White Matthew Swann Daniel Beale Trent Mitton Kieran Govers Kiel Brown Andrew Philpott Andrew Charter Fergus Kavanagh | India (IND) Rupinder Pal Singh Kothajit Singh Manpreet Singh Sardara Singh Dharamvir Singh V. R. | England (ENG) George Pinner Iain Lewers Daniel Fox Barry Middleton Henry Weir Ashley Jackson Simon Mantell Harry Martin Michael Hoare David Condon Mark Gleghorne Phil Roper Ollie Willars Adam Dixon Alastair Brogdon Nicholas Catlin |" + }, + { + "from": "human", + "value": "Give you a Wikipedia table titled 'List of Commonwealth Games medallists in field hockey'. Its section title is 'Men's'. \nBased on the table and above metadata, generate a one-sentence description about highlighted table cells." + }, + { + "from": "gpt", + "value": "In 2002, Muhammad Sarwar was on the bronze medal-winning team in the Commonwealth Games." + } + ] + }, + { + "id": "table_instructV_multi_round_31671", + "image": "table_instructV/images/TabFact_2-140290-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| name | council seat | formed | population (2010) | area | website |\n| --- | --- | --- | --- | --- | --- |\n| armadale , city of | armadale | 1894 | 60983 | km2 (sqmi) | link |\n| bassendean , town of | bassendean | 1901 | 14790 | km2 (sqmi) | link |\n| bayswater , city of | morley | 1897 | 61865 | km2 (sqmi) | link |\n| belmont , city of | cloverdale | 1898 | 35082 | km2 (sqmi) | link |\n| cambridge , town of | floreat | 1994 | 26959 | km2 (sqmi) | link |\n| canning , city of | cannington | 1907 | 88433 | km2 (sqmi) | link |\n| claremont , town of | claremont | 1898 | 9891 | km2 (sqmi) | link |\n| cockburn , city of | spearwood | 1871 | 91313 | km2 (sqmi) | link |\n| cottesloe , town of | cottesloe | 1895 | 8222 | km2 (sqmi) | link |\n| east fremantle , town of | east fremantle | 1897 | 7534 | km2 (sqmi) | link |\n| fremantle , city of | fremantle | 1871 | 28626 | km2 (sqmi) | link |\n| gosnells , city of | gosnells | 1907 | 106724 | km2 (sqmi) | link |\n| joondalup , city of | joondalup | 1998 | 164445 | km2 (sqmi) | link |\n| kalamunda , shire of | kalamunda | 1897 | 55814 | km2 (sqmi) | link |\n| kwinana , city of | kwinana town centre | 1954 | 29029 | km2 (sqmi) | link |\n| melville , city of | ardross | 1900 | 102434 | km2 (sqmi) | link |\n| mosman park , town of | mosman park | 1899 | 9440 | km2 (sqmi) | link |\n| mundaring , shire of | mundaring | 1903 | 38910 | km2 (sqmi) | link |\n| nedlands , city of | nedlands | 1893 | 22508 | km2 (sqmi) | link |\n| peppermint grove , shire of | peppermint grove | 1895 | 1749 | km2 (sqmi) | link |\n| perth , city of | perth | 1856 | 17955 | km2 (sqmi) | link |\n| rockingham , city of | rockingham | 1897 | 104130 | km2 (sqmi) | link |\n| south perth , city of | south perth | 1892 | 43908 | km2 (sqmi) | link |\n| stirling , city of | stirling | 1871 | 202014 | km2 (sqmi) | link |\n| subiaco , city of | subiaco | 1896 | 18862 | km2 (sqmi) | link |\n| swan , city of | midland | 1871 | 112960 | km2 (sqmi) | link |\n| victoria park , town of | victoria park | 1994 | 32958 | km2 (sqmi) | link |\n| vincent , city of | leederville | 1994 | 31209 | km2 (sqmi) | link |\n| wanneroo , city of | wanneroo | 1902 | 150106 | km2 (sqmi) | link |" + }, + { + "from": "human", + "value": "Based on the table titled 'local government areas of western australia' and the subsequent claim, determine if the claim is entailed or disproved by the table. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nclaim: the city of belmont was formed in 1898 , and has a population of 35082" + }, + { + "from": "gpt", + "value": "According to the table, the claim is entailed by the table information. Therefore, the final answer: {\"answer\": \"entailed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_31740", + "image": "table_instructV/images/Rotowire_train_table_1493.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Grizzlies | Memphis | 112 | 25 | 32 | 26 | 29 | 26 | 39 | 17 | 56 | 93 | 67 | 14 | 12 | | | | |\n| Wizards | Washington | 95 | 21 | 25 | 15 | 34 | 22 | 36 | 14 | 43 | 60 | 38 | 10 | 13 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Grizzlies | | | | | | | | | | | | | | | | | | |\n| Marc Gasol | 39 | 24 | 12 | 6 | 9-17 | 53% | 0-0 | 0% | 6-6 | 100% | 1 | 3 | 3 | 1 | 11 | 4 | C | Memphis |\n| Matt Barnes | 33 | 20 | 6 | 2 | 7-9 | 78% | 4-5 | 80% | 2-2 | 100% | 2 | 4 | 1 | 1 | 5 | 3 | F | Memphis |\n| Mike Conley | 37 | 18 | 4 | 11 | 7-14 | 50% | 2-4 | 50% | 2-2 | 100% | 2 | 2 | 0 | 1 | 3 | 1 | G | Memphis |\n| Jeff Green | 40 | 15 | 6 | 4 | 6-12 | 50% | 0-1 | 0% | 3-4 | 75% | 1 | 3 | 1 | 2 | 4 | 3 | F | Memphis |\n| Courtney Lee | 39 | 15 | 3 | 0 | 6-11 | 55% | 3-4 | 75% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 3 | G | Memphis |\n| Mario Chalmers | 19 | 12 | 1 | 1 | 5-6 | 83% | 1-1 | 100% | 1-1 | 100% | 1 | 1 | 0 | 0 | 1 | 2 | N/A | Memphis |\n| Zach Randolph | 21 | 8 | 4 | 1 | 4-7 | 57% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 0 | 1 | 3 | 2 | N/A | Memphis |\n| Russ Smith | 1 | 0 | 0 | 1 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Memphis |\n| JaMychal Green | 11 | 0 | 3 | 0 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 3 | 0 | N/A | Memphis |\n| Jarell Martin | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Tony Allen | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Vince Carter | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| James Ennis III | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| Gary Neal | 31 | 24 | 2 | 0 | 9-14 | 64% | 3-4 | 75% | 3-5 | 60% | 1 | 0 | 0 | 1 | 1 | 1 | N/A | Washington |\n| Jared Dudley | 27 | 14 | 6 | 1 | 6-10 | 60% | 2-3 | 67% | 0-2 | 0% | 1 | 1 | 0 | 2 | 4 | 1 | F | Washington |\n| Ramon Sessions | 26 | 14 | 1 | 3 | 5-8 | 63% | 0-1 | 0% | 4-5 | 80% | 1 | 3 | 0 | 0 | 1 | 0 | N/A | Washington |\n| Marcin Gortat | 26 | 10 | 9 | 0 | 4-11 | 36% | 0-0 | 0% | 2-4 | 50% | 2 | 3 | 0 | 3 | 6 | 1 | C | Washington |\n| Kelly Oubre Jr. | 17 | 8 | 4 | 1 | 3-7 | 43% | 2-3 | 67% | 0-0 | 0% | 2 | 1 | 0 | 0 | 4 | 2 | N/A | Washington |\n| Garrett Temple | 17 | 6 | 0 | 1 | 2-5 | 40% | 0-3 | 0% | 2-2 | 100% | 0 | 2 | 1 | 0 | 0 | 0 | G | Washington |\n| John Wall | 28 | 6 | 2 | 9 | 2-11 | 18% | 2-7 | 29% | 0-0 | 0% | 0 | 4 | 0 | 0 | 2 | 0 | G | Washington |\n| DeJuan Blair | 22 | 6 | 4 | 1 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 1 | 3 | 5 | N/A | Washington |\n| Kris Humphries | 18 | 5 | 5 | 2 | 2-7 | 29% | 0-2 | 0% | 1-2 | 50% | 0 | 0 | 1 | 3 | 2 | 2 | N/A | Washington |\n| Otto Porter | 27 | 2 | 3 | 4 | 1-8 | 13% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 1 | F | Washington |\n| Ryan Hollins | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| Drew Gooden | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |" + }, + { + "from": "human", + "value": "Generate a detailed match report for the NBA game on December 14, 2015. The game statistics are shown in the given picture." + }, + { + "from": "gpt", + "value": "The Memphis Grizzlies (14-12) defeated the Washington Wizards (10-13) Monday 112-95 at the FedExForum in Memphis. The game was essentially won in the first 36 minutes, as by the end of the third quarter, the Grizzlies held a 22-point lead and the hole was simply too much for the Bradley Beal-less Wizards to overcome. Marc Gasol led the way for Memphis in the winning effort, stuffing the stat sheet on his way to recording 24 points, 12 rebounds and six assists in 39 minutes. But Gasol was just one of six Grizzlies-including all five starters-to score in double figures Monday night. Matt Barnes had an impressive outing of 20 points and six rebounds, Mike Conley recorded a double-double of 18 points and 11 assists, while Jeff Green and Courtney Lee each scored 15 points. Mario Chalmers (12) was the sixth and final Memphis player to reach double digits, playing 19 minutes off the bench. For the Wizards, it was Gary Neal who led the way on a night where the Washington starters struggled mightily, as he scored 24 points in 31 minutes off the bench. It was not star point guard John Wall’s night, as he managed to shoot a poor 2-of-11 from the field en route to recording six points and nine assists in 28 minutes. Jared Dudley (14) and Marcin Gortat (10) were the only starters to score in double figures, while Ramon Sessions scored 14 points in 26 minutes off the bench. Up next, the Grizzlies will travel to Chicago Wednesday to take on the Bulls, while the Wizards will head to San Antonio Wednesday to play the Spurs." + } + ] + }, + { + "id": "table_instructV_multi_round_31804", + "image": "table_instructV/images/TabFact_2-18652117-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| original nfl team | player | pos | college | conf |\n| --- | --- | --- | --- | --- |\n| denver broncos | john amos | rb | colorado state | ind |\n| houston oilers | willie frazier | te | arkansaspine bluff | swac |\n| houston oilers | wk hicks | cb | texas southern | swac |\n| kansas city chiefs | mack lee hill | fb | southern | swac |\n| kansas city chiefs | willie mitchell | cb | tennessee state | midwestern |\n| new york jets | bill rademacher | wr | northern michigan | n / a |\n| new york jets | john schmitt | c | hofstra | n / a |\n| san diego chargers | speedy duncan | cb | jackson state | swac |\n| san diego chargers | jimmy warren | cb | illinois | big ten |" + }, + { + "from": "human", + "value": "In this task, you are given a table with its title '1964 american football league draft', your goal is to distinguish whether this table confirms or disputes the hypothesis. The final result should be presented in the JSON format of {\"answer\": \"\"}.\njimmy warren came from southern" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the hypothesis is false. Consequently, the answer is {\"answer\": \"disputes\"}." + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following claim is substantiated or refuted by the table. The final result should be presented in the JSON format of {\"answer\": \"\"}.\ntable title:1964 american football league draft\nclaim: there are two players who were originally on the jets" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the claim is valid. Hence, the answer is {\"answer\": \"substantiated\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title '1964 american football league draft', and determine whether the given hypothesis is affirmed or disproved by the table information. Show your final answer in the JSON format {\"answer\": \"\"}.\nhypothesis: more than half of the players were the cb position" + }, + { + "from": "gpt", + "value": "Based on the evidence presented in the table, we can conclude that the hypothesis is not true. Therefore, the answer is {\"answer\": \"disproved\"}." + }, + { + "from": "human", + "value": "claim: jimmy warren came from illinois and mack lee hill came from southern\nJudge whether the above claim is upheld or opposed by the given table named '1964 american football league draft'. Output the final answer as JSON in the format {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the claim is true. So, the answer is {\"answer\": \"upheld\"}." + }, + { + "from": "human", + "value": "Watch this table and show a latex-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|c|c|}\n\\hline\n original nfl team & player & pos & college & conf \\\\\n\\hline\n denver broncos & john amos & rb & colorado state & ind \\\\\n\\hline\n houston oilers & willie frazier & te & arkansaspine bluff & swac \\\\\n\\hline\n houston oilers & wk hicks & cb & texas southern & swac \\\\\n\\hline\n kansas city chiefs & mack lee hill & fb & southern & swac \\\\\n\\hline\n kansas city chiefs & willie mitchell & cb & tennessee state & midwestern \\\\\n\\hline\n new york jets & bill rademacher & wr & northern michigan & n / a \\\\\n\\hline\n new york jets & john schmitt & c & hofstra & n / a \\\\\n\\hline\n san diego chargers & speedy duncan & cb & jackson state & swac \\\\\n\\hline\n san diego chargers & jimmy warren & cb & illinois & big ten \\\\\n\\hline\n\\end{tabular}" + } + ] + }, + { + "id": "table_instructV_multi_round_31815", + "image": "table_instructV/images/TabFact_2-18693518-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| date | venue | score | result | competition |\n| --- | --- | --- | --- | --- |\n| 28 march 2009 | stade mohamed v , casablanca | 1 - 0 | 2 - 1 | 2010 fifa world cup qualifier |\n| 11 august 2009 | stade des vertus , dieppe | 1 - 0 | 1 - 1 | friendly |\n| 19 may 2010 | stade françois coty , ajaccio | 2 - 0 | 3 - 0 | friendly |\n| 11 august 2010 | stade 5 juillet 1962 , algiers | 2 - 0 | 2 - 1 | friendly |\n| 17 november 2010 | parc des sports michel hidalgo , sannois | 1 - 2 | 1 - 2 | friendly |\n| 23 january 2012 | stade d'angondjé , libreville | 1 - 0 | 2 - 0 | 2012 africa cup of nations |\n| 27 january 2012 | stade d'angondjé , libreville | 1 - 1 | 3 - 2 | 2012 africa cup of nations |\n| 31 january 2012 | stade de franceville , franceville | 1 - 0 | 1 - 0 | 2012 africa cup of nations |\n| 15 june 2013 | stade de franceville , franceville | 1 - 1 | 4 - 1 | 2014 fifa world cup qualifier |\n| 15 june 2013 | stade de franceville , franceville | 2 - 1 | 4 - 1 | 2014 fifa world cup qualifier |\n| 15 june 2013 | stade de franceville , franceville | 4 - 1 | 4 - 1 | 2014 fifa world cup qualifier |" + }, + { + "from": "human", + "value": "Give you a table picture about 'pierre - emerick aubameyang', determine whether the following sentence is affirmed or disproved by the table's content. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\n\nthere are four competitions held in the stade de franceville , franceville venue" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the sentence is valid. Hence, the answer is {\"answer\": \"affirmed\"}." + }, + { + "from": "human", + "value": "This is a table image titled 'pierre - emerick aubameyang', help me determine if the table upholds or disproves the following statement. Output the final answer as JSON in the format {\"answer\": \"\"}.\nthere are 3 competitions held during 15 june 2013" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table upholds the validity of the statement. Therefore, the final answer: {\"answer\": \"upholds\"}." + }, + { + "from": "human", + "value": "Analyze this table picture about 'pierre - emerick aubameyang' and classify whether the given table upholds or refutes the sentence. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\n\nin a year , there are 5 competitions that was held in a month" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it refutes the sentence. So, the answer is {\"answer\": \"refutes\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title 'pierre - emerick aubameyang', and determine whether the given hypothesis is substantiated or disputed by the table information. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nhypothesis: out of 11 competitions , 3 of which are friendly competition" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the hypothesis is false. So, the answer is {\"answer\": \"disputed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_31904", + "image": "table_instructV/images/TabFact_2-17624340-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| res | record | opponent | method | event | round | time | location |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| loss | 7 - 8 - 1 | lauren taylor | decision (unanimous) | invicta fc 5: penne vs waterson | 3 | 5:00 | kansas city , missouri , united states |\n| loss | 7 - 7 - 1 | leslie smith | tko (punches) | invicta fc 3: penne vs sugiyama | 2 | 2:19 | kansas city , kansas , united states |\n| loss | 7 - 6 - 1 | liz carmouche | submission (rear - naked choke) | invicta fc 2: baszler vs mcmann | 2 | 3:34 | kansas city , kansas , united states |\n| draw | 7 - 5 - 1 | leslie smith | draw (split) | invicta fc 1: coenen vs ruyssen | 3 | 5:00 | kansas city , kansas , united states |\n| win | 7 - 5 | anna barone | tko (doctor stoppage) | driller promotions / seg - downtown showdown 2 | 2 | 5:00 | minneapolis , minnesota , united states |\n| win | 6 - 5 | liz carreiro | tko (punches) | fcf 49: fight strong for the cure | 1 | 4:47 | shawnee , oklahoma , united states |\n| loss | 5 - 5 | julie kedzie | decision (unanimous) | jackson 's mma series 4 | 5 | 5:00 | albuquerque , new mexico , united states |\n| win | 5 - 4 | julie kedzie | decision (split) | ultimate women challenge | 3 | 3:00 | st george , utah , united states |\n| loss | 4 - 4 | jennifer tate | submission (armbar) | freestyle cage fighting 39 | 2 | 2:35 | shawnee , oklahoma , united states |\n| loss | 4 - 3 | shana olsen | tko (punches and elbows) | ironman mma | 2 | 1:52 | welch , minnesota , united states |\n| loss | 4 - 2 | gina carano | tko (doctor stoppage) | elitexc : primetime | 2 | 3:00 | newark , new jersey , united states |\n| loss | 4 - 1 | sarah schneider | submission (armbar) | tuff - n - uff : thompson vs troyer | 2 | 0:35 | las vegas , nevada , united states |\n| win | 4 - 0 | patti lee | ko (knee to the body) | hooknshoot - bodogfight 2007 women 's grand prix | 1 | 0:53 | evansville , indiana , united states |\n| win | 3 - 0 | miesha tate | ko (head kick) | hooknshoot - bodogfight 2007 women 's grand prix | 1 | 0:30 | evansville , indiana , united states |\n| win | 2 - 0 | suzy smith | ko (knees) | hooknshoot - bodogfight 2007 women 's grand prix | 1 | 0:22 | evansville , indiana , united states |\n| win | 1 - 0 | lindsey frandrop | tko (kicks to the body and punches) | brutaal - fight night | 2 | 0:26 | maplewood , minnesota , united states |" + }, + { + "from": "human", + "value": "Determine the relationship between the table named 'kaitlin young' and the sentence. Whether the table supports or disputes the given sentence? Show your final answer in the JSON format {\"answer\": \"\"}.\nsentence: anna barone has a tko record of 7 - 5" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the sentence. Consequently, the answer is {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "Give you a table picture about 'kaitlin young', determine whether the following hypothesis is supported or refuted by the table's content. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\n\nanna barone 's record is 5 - 5" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the hypothesis is not valid. Hence, the answer is {\"answer\": \"refuted\"}." + }, + { + "from": "human", + "value": "According to the table information regarding 'kaitlin young', tell me whether the provided table affirms or contradicts the claim. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nin round 2 , the method used by shana olsen is tko (punches and elbows)" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the claim. Consequently, the answer is {\"answer\": \"affirms\"}." + }, + { + "from": "human", + "value": "Analyze the table's content, including its title 'kaitlin young', and determine whether the table substantiates or challenges the given hypothesis. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nhypothesis: the round for the ko (head kick) method is 3 - 0" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that it challenges the hypothesis. Hence, the answer is {\"answer\": \"challenges\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_32015", + "image": "table_instructV/images/ToTTo_train_table_32964.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Year | Opponent | Attendance |\n| --- | --- | --- |\n| 1999 | Florida State | 86,092 |\n| 1994 | South Carolina | 85,872 |\n| 2015 | Florida State | 85,573 |\n| 2000 | South Carolina | 85,187 |\n| 2001 | Florida State | 85,036 |\n| 2014 | South Carolina | 85,024 |\n| 2015 | Notre Dame | 84,892 |\n| 2001 | North Carolina | 84,869 |\n| 1988 | South Carolina | 84,867 |\n| 1988 | Florida State | 84,576 |" + }, + { + "from": "human", + "value": "Presented is a Wikipedia table named 'Memorial Stadium (Clemson)', accompanied by a section heading 'Notable games' and further explanatory text: '11/12/60 - After 57 straight trips to Columbia, SC for the annual game against Clemson's biggest rival, South Carolina, the Tigers host the Gamecocks and defeat them 12–2.'\nWith reference to the table and related metadata, produce a sentence that encapsulates the information of the highlighted cells." + }, + { + "from": "gpt", + "value": "The Memorial Stadium has a large crowd of 86,092." + }, + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the latex-format in text." + }, + { + "from": "gpt", + "value": "\\begin{tabular}{|c|c|c|}\n\\hline\n Year & Opponent & Attendance \\\\\n\\hline\n 1999 & Florida State & 86,092 \\\\\n\\hline\n 1994 & South Carolina & 85,872 \\\\\n\\hline\n 2015 & Florida State & 85,573 \\\\\n\\hline\n 2000 & South Carolina & 85,187 \\\\\n\\hline\n 2001 & Florida State & 85,036 \\\\\n\\hline\n 2014 & South Carolina & 85,024 \\\\\n\\hline\n 2015 & Notre Dame & 84,892 \\\\\n\\hline\n 2001 & North Carolina & 84,869 \\\\\n\\hline\n 1988 & South Carolina & 84,867 \\\\\n\\hline\n 1988 & Florida State & 84,576 \\\\\n\\hline\n\\end{tabular}" + } + ] + }, + { + "id": "table_instructV_multi_round_32023", + "image": "table_instructV/images/ToTTo_train_table_34485.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Year | Title | Notes |\n| --- | --- | --- |\n| 1999 | Amor de Madre | Short film |\n| 1999 | El Trabajo | Short film |\n| 2000 | Torre | Short film |\n| 2001 | Loops | Short film |\n| 2006 | The Backwoods | |\n| 2007 | Gominolas | TV series |\n| 2007 | Savage Grace | |\n| 2007 | The Orphanage | Soundtrack released by Rhino Records |\n| 2008 | Shiver | Soundtrack released by MovieScore Media |\n| 2009 | Garbo: The Spy | Documentary, Soundtrack released by MovieScore Media |\n| 2009 | Spanish Movie | |\n| 2010 | Karabudjan | TV series |\n| 2010 | For The Good Of Others | |\n| 2010 | Lope | Soundtrack released by Warner Bros. Records |\n| 2010 | Julia's Eyes | |\n| 2010 | Devil | Soundtrack released by Varèse Sarabande |\n| 2011 | They Say | Short film |\n| 2011 | The Monitor | |\n| 2012 | Cuéntame un cuento | TV series |\n| 2012 | Sons of the Clouds: The Last Colony | Documentary |\n| 2012 | The Impossible | Soundtrack released by Quartet Records |\n| 2013 | Zip & Zap and the Marble Gang | |\n| 2013 | Mama | Soundtrack released by Quartet Records |\n| 2014 | Hercules | Soundtrack released by Sony Classical |\n| 2014 | 321 Days in Michigan | |\n| 2015 | Crimson Peak | Soundtrack released by Quartet Records |\n| 2016 | Pride and Prejudice and Zombies | Soundtrack released by Starr Score Holdings, LLC |\n| 2016 | A Monster Calls | Soundtrack released by Back Lot Music |\n| 2016 | Colonia | |\n| 2016 | Zipi y Zape y la Isla del Capitán | Soundtrack released by Quartet Records |\n| 2016 | Contratiempo | Soundtrack released by Sony ATV |\n| 2016 | Ozzy | Soundtrack released by Quartet Records |\n| 2017 | El Guardián Invisible | Soundtrack released by Atresmedia Música SLU |\n| 2017 | Marrowbone | Soundtrack released by Mira Mi Música |\n| 2017 | Que baje Dios y lo vea | Soundtrack released by Quartet Records |\n| 2017 | Deep | Soundtrack released by Quartet Records |\n| 2017 | Submergence | Soundtrack released by Varèse Sarabande Records |\n| 2017 | Thi Mai. Rumbo a Vietnam | Soundtrack released by Quartet Records |\n| 2017 | Que baje Dios y lo | Soundtrack released by Quartet Records |\n| 2017 | Las Leyes de la termodinámica | Soundtrack released by Quartet Records |\n| 2018 | Los futbolísimos | |\n| 2018 | Superlópez | |" + }, + { + "from": "human", + "value": "Consider the table titled 'Fernando Velázquez (composer)', with its section title 'Films & TV'\nFormulate a sentence describing the highlighted cells' content." + }, + { + "from": "gpt", + "value": "Fernando Velázquez composed music for Documentaries such Sons of the Clouds (2012) and Garbo: The Spy (2009) and TV series such Karabudjan (2010) and Gominolas (2007)." + } + ] + }, + { + "id": "table_instructV_multi_round_32116", + "image": "table_instructV/images/Rotowire_train_table_1483.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pacers | Indiana | 115 | 27 | 35 | 22 | 31 | 19 | 43 | 15 | 47 | 79 | 36 | 2 | 2 | | | | |\n| Lakers | Los Angeles | 108 | 18 | 33 | 28 | 29 | 14 | 44 | 19 | 45 | 88 | 21 | 1 | 3 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Pacers | | | | | | | | | | | | | | | | | | |\n| Paul George | 37 | 30 | 7 | 1 | 8-16 | 50% | 2-5 | 40% | 12-12 | 100% | 4 | 6 | 1 | 2 | 5 | 2 | F | Indiana |\n| Monta Ellis | 38 | 17 | 2 | 3 | 6-14 | 43% | 2-5 | 40% | 3-4 | 75% | 0 | 2 | 2 | 0 | 2 | 2 | G | Indiana |\n| CJ Miles | 23 | 16 | 2 | 0 | 6-9 | 67% | 2-3 | 67% | 2-2 | 100% | 1 | 1 | 1 | 1 | 1 | 1 | N/A | Indiana |\n| Thaddeus Young | 28 | 14 | 6 | 3 | 6-8 | 75% | 2-4 | 50% | 0-0 | 0% | 2 | 0 | 1 | 1 | 5 | 2 | F | Indiana |\n| Myles Turner | 25 | 9 | 6 | 2 | 2-7 | 29% | 0-1 | 0% | 5-7 | 71% | 0 | 1 | 2 | 0 | 6 | 5 | C | Indiana |\n| Jeff Teague | 33 | 9 | 6 | 6 | 4-15 | 27% | 1-7 | 14% | 0-2 | 0% | 2 | 3 | 0 | 1 | 5 | 2 | G | Indiana |\n| Aaron Brooks | 16 | 8 | 1 | 2 | 3-7 | 43% | 1-3 | 33% | 1-2 | 50% | 0 | 0 | 1 | 1 | 0 | 1 | N/A | Indiana |\n| Lavoy Allen | 19 | 4 | 3 | 1 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 2 | 1 | 1 | N/A | Indiana |\n| Kevin Seraphin | 8 | 4 | 3 | 0 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 2 | 0 | N/A | Indiana |\n| Al Jefferson | 14 | 4 | 7 | 1 | 2-6 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 2 | 5 | 4 | N/A | Indiana |\n| Glenn Robinson III | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Joe Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Georges Niang | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Indiana |\n| Lakers | | | | | | | | | | | | | | | | | | |\n| Lou Williams | 27 | 19 | 0 | 5 | 7-14 | 50% | 3-8 | 38% | 2-2 | 100% | 0 | 4 | 0 | 0 | 0 | 0 | N/A | Los Angeles |\n| Jordan Clarkson | 31 | 15 | 1 | 0 | 7-16 | 44% | 0-4 | 0% | 1-1 | 100% | 0 | 0 | 0 | 1 | 0 | 2 | N/A | Los Angeles |\n| D'Angelo Russell | 19 | 11 | 0 | 3 | 3-10 | 30% | 0-4 | 0% | 5-5 | 100% | 0 | 2 | 0 | 0 | 0 | 2 | G | Los Angeles |\n| Larry Nance Jr. | 30 | 11 | 5 | 1 | 4-10 | 40% | 0-1 | 0% | 3-4 | 75% | 6 | 3 | 1 | 4 | 1 | 3 | N/A | Los Angeles |\n| Luol Deng | 21 | 10 | 6 | 1 | 5-10 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 5 | 1 | F | Los Angeles |\n| Julius Randle | 20 | 9 | 10 | 0 | 3-6 | 50% | 0-1 | 0% | 3-3 | 100% | 1 | 3 | 0 | 0 | 10 | 6 | F | Los Angeles |\n| Jose Calderon | 17 | 9 | 2 | 2 | 3-4 | 75% | 1-2 | 50% | 2-2 | 100% | 1 | 3 | 0 | 0 | 2 | 1 | N/A | Los Angeles |\n| Nick Young | 21 | 8 | 4 | 0 | 3-6 | 50% | 2-4 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 4 | 3 | G | Los Angeles |\n| Timofey Mozgov | 19 | 6 | 5 | 0 | 3-7 | 43% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 3 | 2 | 2 | C | Los Angeles |\n| Tarik Black | 19 | 6 | 8 | 1 | 1-2 | 50% | 0-0 | 0% | 4-4 | 100% | 0 | 1 | 1 | 2 | 6 | 3 | N/A | Los Angeles |\n| Brandon Ingram | 15 | 2 | 3 | 1 | 1-4 | 25% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 2 | N/A | Los Angeles |\n| Metta World Peace | 3 | 2 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 2-4 | 50% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Los Angeles |\n| Marcelo Huertas | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |" + }, + { + "from": "human", + "value": "Utilizing the data from the box-score and line-score tables of the NBA game featuring Pacers versus Lakers on 2016-11-01, craft a game report highlighting the key moments and statistics." + }, + { + "from": "gpt", + "value": "The host Indiana Pacers defeated the Los Angeles Lakers 115-108 on Tuesday at Bankers Life Fieldhouse. Despite Indiana (2-2) leading for nearly the entirety of the game, the Lakers (1-3) kept it close all night long. The only leads for the Lakers were when they started up 40 and when they took a late lead in the fourth quarter at 106-104. Three-point shooting was the difference in the game, as both teams took 28 attempts, with the Pacers making four more than the Lakers. Rim protection was huge as well, as Indiana swatted away eight shots to the Lakers two. Los Angeles leaned on their bench in this game and nearly pulled out an upset win. Lou William was the leading scorer for the Lakers off the bench, dropping 19 points and five assists. Second on the team was Jordan Clarkson, who scored his 15 off the bench as well. Luol Deng and D'Angelo Russell were the only starters in double figures, as they combined for just 21 points. Larry Nance Jr. set a career-high in steals, as he recorded 11 points, five rebounds and six steals in the defeat. Paul George led the team in scoring, as he tallied 30 points, seven rebounds and four steals. In fact, George scored the final 12 points for the Pacers in their tight win. Monta Ellis was second on the team, with his 17 points, three assists and two blocks. Jeff Teague scored just nine points on 4-for-15 shooting, but provided six points and six rebounds as the starting point guard. C.J. Miles also scored 16 points off the bench. The Lakers road trip continues on Wednesday, as they play the Atlanta Hawks. The Pacers return to action on Thursday in Milwaukee against the Bucks." + } + ] + }, + { + "id": "table_instructV_multi_round_32137", + "image": "table_instructV/images/TabFact_2-11627546-3.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| class | ships in class | pennant number | builder | commissioned |\n| --- | --- | --- | --- | --- |\n| katanpää class | katanpää | 40 | intermarine spa , sarzana , italy | 2012 - |\n| katanpää class | purunpää | 41 | intermarine spa , sarzana , italy | 2012 - |\n| katanpää class | vahterpää | 42 | intermarine spa , sarzana , italy | 2012 - |\n| kuha class | kuha 21 | 21 | laivateollisuus , turku , finland | 1974 - 1975 |\n| kuha class | kuha 23 | 23 | laivateollisuus , turku , finland | 1974 - 1975 |\n| kuha class | kuha 24 | 24 | laivateollisuus , turku , finland | 1974 - 1975 |\n| kuha class | kuha 26 | 26 | laivateollisuus , turku , finland | 1974 - 1975 |\n| kiiski class | kiiski 1 | 521 | fiskars oy , turku , finland | 1982 - 1984 |\n| kiiski class | kiiski 3 | 523 | fiskars oy , turku , finland | 1982 - 1984 |\n| kiiski class | kiiski 4 | 524 | fiskars oy , turku , finland | 1982 - 1984 |\n| kiiski class | kiiski 5 | 525 | fiskars oy , turku , finland | 1982 - 1984 |\n| kiiski class | kiiski 6 | 526 | fiskars oy , turku , finland | 1982 - 1984 |\n| kiiski class | kiiski 7 | 527 | fiskars oy , turku , finland | 1982 - 1984 |" + }, + { + "from": "human", + "value": "Examine the table with the given title 'list of active finnish navy ships' and judge whether the statement is affirmed or refuted based on the table's content. Output the final answer as JSON in the format {\"answer\": \"\"}.\nthe kuha class has four ships which are kuha 21 , kuha 23 , kuha 24 and kuha 26 all commission in the years 1974 - 1975" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the statement. Hence, the answer is {\"answer\": \"affirmed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_32150", + "image": "table_instructV/images/TABMWP_20014.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 12 | 5 |\n| 13 | 6 |\n| 14 | 7 |" + }, + { + "from": "human", + "value": "Starting with the provided table, detail your process in solving this problem. Provide a concluding answer in a JSON structure, using the format {\"answer\": \"\"}. \nThe table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear" + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{6 - 5}{13 - 12}\n = \\frac{1}{1}\n = 1\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the first row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{7 - 5}{14 - 12}\n = \\frac{2}{2}\n = 1\nThe two rates of change are the same.\nIf you checked the rate of change between rows 2 and 3, you would find that it is also 1.\nThis means the rate of change is the same for each pair of points. So, the function has a constant rate of change.\nThe function is linear.\n\nSo, the answer is {\"answer\": \"linear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_32218", + "image": "table_instructV/images/TabFact_1-1108394-24.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| 1973 democratic initial primary | manhattan | the bronx | brooklyn | queens | richmond | total | % |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| abraham beame | 45901 | 41508 | 96621 | 73520 | 8912 | 266462 | 34% |\n| abraham beame | 26% | 27% | 41% | 40% | 42% | 266462 | 34% |\n| herman badillo | 73676 | 55432 | 57836 | 33990 | 2902 | 223836 | 29% |\n| herman badillo | 41% | 36% | 25% | 19% | 14% | 223836 | 29% |\n| albert h blumenthal | 41906 | 18400 | 31913 | 28960 | 2062 | 123241 | 16% |\n| albert h blumenthal | 23% | 12% | 14% | 16% | 10% | 123241 | 16% |\n| mario biaggi | 17830 | 39462 | 48352 | 45992 | 7524 | 159160 | 21% |\n| mario biaggi | 10% | 25% | 21% | 25% | 35% | 159160 | 21% |" + }, + { + "from": "human", + "value": "This is a table named 'new york city mayoral elections', please determine whether the given statement is confirmed or disputed by the table information. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nheman badillo had a strong presence and did better than mario biaggi" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the statement. Hence, the answer is {\"answer\": \"confirmed\"}." + }, + { + "from": "human", + "value": "Examine whether the table upholds or challenges the subsequent claim. The final result should be presented in the JSON format of {\"answer\": \"\"}.\ntable title: 'new york city mayoral elections'\nclaim: this table does not show any female names for the candidates" + }, + { + "from": "gpt", + "value": "Based on the table, the claim holds true. Thus, the final answer is {\"answer\": \"upholds\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_32242", + "image": "table_instructV/images/TABMWP_17527.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| Employee | Pay period | |\n| --- | --- |\n| Susana Clinton | October 16-31 | |\n| Total earnings | | $776.00 |\n| Federal income tax | $85.14 | |\n| Other taxes | $59.30 | |\n| Total taxes | | ? |\n| Pay after taxes | | ? |" + }, + { + "from": "human", + "value": "Solve the math problem below using the information from the table. Detail each step. In the last of your solution, output the final answer as JSON in the format {\"answer\": \"\"}.\n\nLook at Susana's pay stub. Susana lives in a state without state income tax. How much payroll tax did Susana pay in total? (Unit: $)" + }, + { + "from": "gpt", + "value": "To find the total payroll tax, add the federal income tax and the other taxes.\nThe federal income tax is $85.14. The other taxes are $59.30. Add.\n$85.14 + $59.30 = $144.44\nSusana paid a total of $144.44 in payroll tax.\n\nSo, the answer is {\"answer\": \"144.44\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_32244", + "image": "table_instructV/images/TAT-QA_57213413-74c1-4c11-905b-371c9436655d.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Name | Fees earned or paid in cash ($) (1) | Stock Awards ($) (2) (3) | All other compensation ($) (4) | Total ($) |\n| --- | --- | --- | --- | --- |\n| Emanuel Pearlman | $ 50,000 | $ 39,000 | $ 750 | $ 89,750 |\n| Niv Harizman | $ 46,250 | $ 39,000 | $ 750 | $ 86,000 |\n| Alison Hoffman | $ 48,890 | $ 39,000 | $ 750 | $ 88,640 |" + }, + { + "from": "human", + "value": "Look at the table, and use the information to answer the question. The concluding answer should be in the JSON structure, formatted as {\"answer\": []}. For instance, {\"answer\": [\"23\", \"14.5\"]}.\nWhich director was compensated the most in 2019?" + }, + { + "from": "gpt", + "value": "Because 89,750>88,640>86,000, the final answer is {\"answer\": [\"Emanuel Pearlman\"]}." + }, + { + "from": "human", + "value": "Read the table to answer the following questions. In the end, output your final answer using the JSON: {\"answer\": []}.\nHow many directors received compensation of more than $88,000?" + }, + { + "from": "gpt", + "value": "Using the information in the table, we must count the following items:\nEmanuel Pearlman##Alison Hoffman\nTherefore, the final answer is {\"answer\": [\"2\"]}." + }, + { + "from": "human", + "value": "For the table shown in this image, can you tell me the row and column numbers of this table? Return the result as JSON in the format {\"row_number\": \"m\", \"column_number\": \"n\"}, e.g., {\"row_number\": \"12\", \"column_number\": \"7\"}." + }, + { + "from": "gpt", + "value": "There are 4 rows and 5 columns in the table. So, the final answer is {\"row_number\": \"4\", \"column_number\": \"5\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_32283", + "image": "table_instructV/images/ToTTo_train_table_29802.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| # | Event Title | Date | Arena | Location |\n| --- | --- | --- | --- | --- |\n| 64 | KOTC 64: Raging Bull | December 16, 2005 | Agora Theater | Cleveland, Ohio |\n| 63 | KOTC 63: Final Conflict | December 2, 2005 | Soboba Casino | San Jacinto, California |\n| 62 | KOTC: Execution Day | October 29, 2005 | Silver Legacy Casino | Reno, Nevada |\n| 61 | KOTC 61: Flash Point | September 23, 2005 | N/A | San Jacinto, California |\n| 60 | KOTC: Xtreme Edge | September 17, 2005 | N/A | Indianapolis, Indiana |\n| 59 | KOTC 58: Prime Time | August 5, 2005 | Soboba Casino | San Jacinto, California |\n| 58 | KOTC: Socorro | July 23, 2005 | N/A | Socorro, New Mexico |\n| 57 | KOTC 56: Caliente | July 9, 2005 | Apache Gold Casino | Globe, Arizona |\n| 56 | KOTC: Warzone | June 24, 2005 | N/A | Sheffield, England |\n| 55 | KOTC 55: Grudge Match | June 17, 2005 | Kiva Auditorium | Albuquerque, New Mexico |\n| 54 | KOTC 54: Mucho Machismo | June 12, 2005 | N/A | San Jacinto, California |\n| 53 | KOTC: Red Rock | May 21, 2005 | N/A | New Mexico |\n| 52 | KOTC: Mortal Sins | May 7, 2005 | N/A | Primm, Nevada |\n| 51 | KOTC 51: Natural Disaster | April 15, 2005 | N/A | El Paso, Texas |\n| 50 | KOTC 50: First Blood | March 26, 2005 | N/A | New Mexico |\n| 49 | KOTC 49: Soboba | March 20, 2005 | N/A | San Jacinto, California |\n| 48 | KOTC 48: Payback | February 25, 2005 | N/A | Cleveland, Ohio |\n| 47 | KOTC 47: Uprising | February 5, 2005 | Albuquerque Convention Center | Albuquerque, New Mexico |\n| 46 | KOTC: Australia | February 4, 2005 | N/A | Australia |" + }, + { + "from": "human", + "value": "Presented is a Wikipedia table named '2005 in King of the Cage', which is extracted from a section heading 'Events list'.\nAs you can see, some table cells are highlighted with a different color. Please generate a one-sentence summary of these cells." + }, + { + "from": "gpt", + "value": "KOTC: Xtreme Edge was an event held on September 17, 2005 in Indianapolis, Indiana." + } + ] + }, + { + "id": "table_instructV_multi_round_32293", + "image": "table_instructV/images/Rotowire_train_table_647.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wizards | Washington | 109 | 21 | 35 | 30 | 23 | 18 | 50 | 11 | 48 | 72 | 47 | 20 | 19 | | | | |\n| 76ers | Philadelphia | 93 | 30 | 26 | 15 | 22 | 20 | 49 | 16 | 41 | 52 | 32 | 12 | 26 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Wizards | | | | | | | | | | | | | | | | | | |\n| John Wall | 30 | 25 | 7 | 7 | 9-17 | 53% | 3-4 | 75% | 4-5 | 80% | 2 | 3 | 0 | 2 | 5 | 1 | G | Washington |\n| Bradley Beal | 27 | 20 | 4 | 1 | 8-15 | 53% | 2-3 | 67% | 2-2 | 100% | 1 | 1 | 0 | 0 | 4 | 1 | G | Washington |\n| Markieff Morris | 30 | 14 | 9 | 1 | 6-10 | 60% | 2-2 | 100% | 0-0 | 0% | 0 | 3 | 0 | 0 | 9 | 4 | F | Washington |\n| Marcin Gortat | 23 | 12 | 10 | 0 | 6-9 | 67% | 0-0 | 0% | 0-1 | 0% | 0 | 1 | 1 | 2 | 8 | 2 | C | Washington |\n| Otto Porter Jr. | 30 | 10 | 6 | 1 | 4-12 | 33% | 0-2 | 0% | 2-4 | 50% | 1 | 0 | 0 | 3 | 3 | 0 | F | Washington |\n| Jason Smith | 13 | 7 | 4 | 1 | 3-6 | 50% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 1 | 2 | 2 | 5 | N/A | Washington |\n| Kelly Oubre Jr. | 27 | 6 | 2 | 0 | 3-6 | 50% | 0-2 | 0% | 0-0 | 0% | 2 | 0 | 0 | 0 | 2 | 1 | N/A | Washington |\n| Tomas Satoransky | 21 | 4 | 4 | 2 | 0-3 | 0% | 0-0 | 0% | 4-4 | 100% | 1 | 0 | 0 | 2 | 2 | 0 | N/A | Washington |\n| Trey Burke | 18 | 4 | 3 | 4 | 2-5 | 40% | 0-2 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 0 | N/A | Washington |\n| Andrew Nicholson | 10 | 4 | 1 | 0 | 2-5 | 40% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 0 | 2 | N/A | Washington |\n| Daniel Ochefu | 3 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 2 | N/A | Washington |\n| Sheldon McClellan | 7 | 1 | 0 | 1 | 0-2 | 0% | 0-1 | 0% | 1-2 | 50% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Washington |\n| Marcus Thornton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Washington |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Jahlil Okafor | 35 | 26 | 9 | 0 | 10-16 | 63% | 0-0 | 0% | 6-11 | 55% | 1 | 3 | 1 | 5 | 4 | 2 | C | Philadelphia |\n| Ersan Ilyasova | 26 | 18 | 7 | 1 | 7-13 | 54% | 3-5 | 60% | 1-2 | 50% | 1 | 0 | 0 | 3 | 4 | 1 | F | Philadelphia |\n| Timothe Luwawu-Cabarrot | 26 | 12 | 6 | 2 | 5-10 | 50% | 2-3 | 67% | 0-2 | 0% | 0 | 3 | 0 | 2 | 4 | 1 | N/A | Philadelphia |\n| Dario Saric | 26 | 9 | 4 | 1 | 3-7 | 43% | 2-5 | 40% | 1-2 | 50% | 1 | 2 | 0 | 0 | 4 | 2 | N/A | Philadelphia |\n| Robert Covington | 22 | 7 | 4 | 1 | 2-6 | 33% | 1-4 | 25% | 2-2 | 100% | 0 | 1 | 0 | 0 | 4 | 0 | F | Philadelphia |\n| Nerlens Noel | 13 | 6 | 12 | 0 | 3-7 | 43% | 0-0 | 0% | 0-0 | 0% | 0 | 3 | 0 | 5 | 7 | 5 | N/A | Philadelphia |\n| T.J. McConnell | 22 | 4 | 3 | 6 | 2-8 | 25% | 0-1 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 3 | 3 | G | Philadelphia |\n| Gerald Henderson | 15 | 3 | 1 | 4 | 1-4 | 25% | 0-2 | 0% | 1-2 | 50% | 0 | 1 | 1 | 0 | 1 | 1 | N/A | Philadelphia |\n| Sergio Rodriguez | 20 | 3 | 1 | 2 | 1-6 | 17% | 1-3 | 33% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 2 | N/A | Philadelphia |\n| Chasson Randle | 6 | 3 | 0 | 0 | 1-1 | 100% | 1-1 | 100% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Philadelphia |\n| Nik Stauskas | 29 | 2 | 2 | 3 | 1-9 | 11% | 0-7 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 2 | 2 | G | Philadelphia |\n| Joel Embiid | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |" + }, + { + "from": "human", + "value": "Using the data statistics shown for the NBA game on 2017-01-14 in this picture, please construct an in-depth analysis and summary of the game." + }, + { + "from": "gpt", + "value": "The Wizards were expected to win this game easily against a Sixers team without Joel Embiid and they did just that. The middle quarters were especially decisive, as Washington outscored Philadelphia, 65-41, in that 24-minute stretch. Shooting was the key difference, with the Wizards shooting 48 percent to Philadelphia 's 41 percent. Jahlil Okafor had not played four four-straight games, but he got the start here in the absence of Embiid to lead the team with 26 points and nine rebounds. Ersan Ilyasova was second on the team with 18 points and seven rebounds. All five starters scored in double figures for the Wizards, as they destroyed the Philadelphia starting unit, 81-57. John Wall was the player of the game, as he accumulated 25 points, seven rebounds and seven assists. Bradley Beal provided 20 points of his own, while Marcin Gortat recorded a double-double." + } + ] + }, + { + "id": "table_instructV_multi_round_32391", + "image": "table_instructV/images/TABMWP_7280.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| | Cotton | Suede |\n| --- | --- | --- |\n| Butterfly | 3 | 2 |\n| Batwing | 4 | 2 |" + }, + { + "from": "human", + "value": "What are the cells' values in these rows or columns of the table? Show the cells in each row or column in the JSON format {\"row_id/column_id\":\"\", \"cell_list\":\"\"}. For example, {\"row_id\":\"3\", \"cell_list\": [\"A\", \"B\", \"C\"]}.\nthe 2nd column\nthe 1st row" + }, + { + "from": "gpt", + "value": "The cell values of target rows or columns are as follows:\nFor the 2nd column: {\"column_id\": \"2\", \"cell_list\": ['Cotton', '3', '4']}\nFor the 1st row: {\"row_id\": \"1\", \"cell_list\": ['', 'Cotton', 'Suede']}" + }, + { + "from": "human", + "value": "Show the detailed solution to answer the following question. Present the final answer in a JSON format, outlined as {\"answer\": \"\"}.\nQuestion: Max designs bow ties for a local boutique store. The store manager counted the ties currently on display, tracking them by material and shape. What is the probability that a randomly selected bow tie is shaped like a batwing and is made of cotton? Simplify any fractions." + }, + { + "from": "gpt", + "value": "Let A be the event \"the bow tie is shaped like a batwing\" and B be the event \"the bow tie is made of cotton\".\nTo find the probability that a bow tie is shaped like a batwing and is made of cotton, first identify the sample space and the event.\nThe outcomes in the sample space are the different bow ties. Each bow tie is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the bow tie is shaped like a batwing and is made of cotton\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the bow tie is shaped like a batwing and is made of cotton\", so look at the table to see how many bow ties are shaped like a batwing and are made of cotton.\nThe number of bow ties that are shaped like a batwing and are made of cotton is 4.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of bow ties.\n3 + 4 + 2 + 2 = 11\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{4}{11}\nThe probability that a bow tie is shaped like a batwing and is made of cotton is \\frac{4}{11}.\n\nTherefore, the final answer is {\"answer\": \"4/11\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_32394", + "image": "table_instructV/images/TABMWP_6261.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Number of kitchen cabinets | Number of plates |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | ? |" + }, + { + "from": "human", + "value": "Each kitchen cabinet has 2 plates. How many plates are in 3 kitchen cabinets? (Unit: plates)\n\nSolve the above problem using the table information. In the end, output your final answer using the JSON format: {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "Count by twos. Use the chart: there are 6 plates in 3 kitchen cabinets.\n\nSo, the answer is {\"answer\": \"6\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_32429", + "image": "table_instructV/images/Rotowire_train_table_2924.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Grizzlies | Memphis | 94 | 22 | 29 | 26 | 17 | 15 | 44 | 13 | 38 | 81 | 23 | 3 | 4 | | | | |\n| Trail Blazers | Portland | 100 | 25 | 22 | 29 | 24 | 19 | 37 | 15 | 45 | 82 | 42 | 4 | 3 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Grizzlies | | | | | | | | | | | | | | | | | | |\n| Marc Gasol | 28 | 21 | 3 | 2 | 7-14 | 50% | 1-2 | 50% | 6-8 | 75% | 1 | 2 | 0 | 0 | 3 | 2 | C | Memphis |\n| Mike Conley | 31 | 16 | 4 | 7 | 5-11 | 46% | 1-5 | 20% | 5-5 | 100% | 2 | 2 | 2 | 0 | 4 | 1 | G | Memphis |\n| Zach Randolph | 20 | 15 | 7 | 2 | 6-11 | 55% | 1-1 | 100% | 2-2 | 100% | 0 | 1 | 0 | 1 | 6 | 1 | N/A | Memphis |\n| Tony Allen | 22 | 11 | 7 | 0 | 3-5 | 60% | 1-1 | 100% | 4-4 | 100% | 4 | 1 | 0 | 2 | 5 | 2 | G | Memphis |\n| Vince Carter | 26 | 11 | 5 | 1 | 4-10 | 40% | 1-5 | 20% | 2-2 | 100% | 1 | 2 | 0 | 2 | 3 | 2 | N/A | Memphis |\n| James Ennis III | 35 | 7 | 3 | 0 | 3-8 | 38% | 1-4 | 25% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 4 | N/A | Memphis |\n| Andrew Harrison | 17 | 5 | 2 | 1 | 1-6 | 17% | 0-2 | 0% | 3-5 | 60% | 1 | 0 | 0 | 0 | 2 | 2 | N/A | Memphis |\n| JaMychal Green | 33 | 5 | 8 | 2 | 2-6 | 33% | 0-3 | 0% | 1-2 | 50% | 0 | 1 | 1 | 4 | 4 | 3 | F | Memphis |\n| Jarell Martin | 7 | 3 | 2 | 0 | 0-2 | 0% | 0-0 | 0% | 3-4 | 75% | 0 | 1 | 1 | 2 | 0 | 2 | N/A | Memphis |\n| Chandler Parsons | 22 | 0 | 3 | 0 | 0-8 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 2 | 1 | 1 | 2 | 1 | F | Memphis |\n| Deyonta Davis | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Troy Williams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Wade Baldwin IV | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Trail Blazers | | | | | | | | | | | | | | | | | | |\n| CJ McCollum | 39 | 37 | 4 | 2 | 13-23 | 56% | 6-12 | 50% | 5-6 | 83% | 1 | 1 | 1 | 0 | 4 | 4 | G | Portland |\n| Damian Lillard | 33 | 19 | 7 | 7 | 3-11 | 27% | 2-8 | 25% | 11-11 | 100% | 1 | 3 | 0 | 1 | 6 | 3 | G | Portland |\n| Maurice Harkless | 34 | 18 | 7 | 0 | 8-15 | 53% | 2-5 | 40% | 0-0 | 0% | 1 | 2 | 2 | 2 | 5 | 4 | F | Portland |\n| Al-Farouq Aminu | 34 | 8 | 4 | 2 | 3-10 | 30% | 1-4 | 25% | 1-2 | 50% | 1 | 3 | 0 | 1 | 3 | 0 | F | Portland |\n| Mason Plumlee | 24 | 7 | 6 | 3 | 2-3 | 67% | 0-0 | 0% | 3-6 | 50% | 2 | 3 | 0 | 1 | 5 | 4 | C | Portland |\n| Allen Crabbe | 27 | 6 | 3 | 0 | 2-4 | 50% | 2-2 | 100% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 3 | N/A | Portland |\n| Meyers Leonard | 11 | 3 | 1 | 1 | 1-4 | 25% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 1 | 0 | 1 | 2 | N/A | Portland |\n| Ed Davis | 13 | 2 | 4 | 0 | 0-1 | 0% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 4 | 3 | N/A | Portland |\n| Evan Turner | 23 | 0 | 0 | 4 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 2 | 1 | 0 | 0 | 2 | N/A | Portland |\n| Noah Vonleh | 3 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Portland |\n| Jake Layman | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Pat Connaughton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Shabazz Napier | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |" + }, + { + "from": "human", + "value": "Examine the tables showing the statistics of an NBA basketball game played by Grizzlies and Trail Blazers on 2016-11-06. Use the information to compose an in-depth summary of the game's events." + }, + { + "from": "gpt", + "value": "C.J. McCollum stepped up to shoulder the offensive load over Damian Lillard for an afternoon, tallying a slew of season bests in the process. The third-year guard finished with season highs in minutes (39), points (37), shot attempts (23) and three-point tries (12). Lillard largely struggled, making only 3-of-11 shots from the field, but did make good on all 11 visits to the free-throw line. The two guards and Maurice Harkless combined for a whopping 74 of the team 's 100 points, keying the road victory. The Grizzlies struggled to get much offense byeond the trio of Marc Gasol, Mike Conley and Zach Randolph. The veterans combined for 52 points, with Gasol leading the team with 21 points. Memphis only managed to shoot 38 percent from the field and 23 percent from three-point range during the contest." + } + ] + }, + { + "id": "table_instructV_multi_round_32441", + "image": "table_instructV/images/TabFact_1-29545336-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| no | title | directed by | written by | featured character (s) | us viewers (millions) | original air date |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | tony | scott smith | bryan elsley | tony snyder | 3.26 | january 17 , 2011 |\n| 2 | tea | scott smith | bryan elsley | tea marvelli | 1.58 | january 24 , 2011 |\n| 3 | chris | scott smith | jack thorne and ryan o'nan | chris collins | 1.45 | january 31 , 2011 |\n| 4 | cadie | samir rehem | monica padrick | cadie campbell | 1.19 | february 7 , 2011 |\n| 5 | stanley | samir rehem | jamie brittain and mark hammer | stanley lucerne | 0.96 | february 14 , 2011 |\n| 6 | abbud | scott smith | matt pelfrey | abbud siddiqui | 0.97 | february 21 , 2011 |\n| 7 | michelle | samir rehem | maisha closson | michelle richardson | 1.17 | february 28 , 2011 |\n| 8 | daisy | samir rehem | jamie brittain and bryan elsley | daisy valero | 1.09 | march 7 , 2011 |\n| 9 | tina | scott smith | derek harvie | tina nolan | 1.11 | march 14 , 2011 |" + }, + { + "from": "human", + "value": "Examine the table with the caption 'skins (north american tv series)', classify whether the provided table affirms or opposes the claim. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nclaim: scott smith directed least episodes (4 episodes , over samir rehem who directed 5) in skins" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table opposes the validity of the claim. Therefore, the final answer: {\"answer\": \"opposes\"}." + }, + { + "from": "human", + "value": "Give you a table titled 'skins (north american tv series)' and a sentence which is 'bryan elsley wrote , or assisted in writing four episodes of skins', select the correct relation between the table and the sentence based on the table information. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\n\n(A) upholds (the sentence is true)\n(B) challenges (the sentence is false)" + }, + { + "from": "gpt", + "value": "Based on the table, the sentence can not hold true. Thus, the final answer is {\"answer\": \"challenges\"}." + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following statement is supported or contradicted by the table. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\ntable title:skins (north american tv series)\nstatement: episode 5 and episode 6 were the only two episodes to have less than a million watchers" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the statement is valid. Hence, the answer is {\"answer\": \"supported\"}." + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table with its caption 'skins (north american tv series)', the goal is to distinguish whether the following hypothesis is supported or challenged by the table. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nepisode 1 had almost three times as many viewers than episode 9" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the hypothesis. Hence, the answer is {\"answer\": \"supported\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_32447", + "image": "table_instructV/images/ToTTo_train_table_26885.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| Climate data for Berwick-upon-Tweed 22m asl, 1981–2010 |\n| --- |\n| Month | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Year |\n| Average high °C (°F) | 6.8 (44.2) | 7.1 (44.8) | 8.8 (47.8) | 10.4 (50.7) | 13.4 (56.1) | 15.6 (60.1) | 17.9 (64.2) | 17.6 (63.7) | 16.0 (60.8) | 12.8 (55.0) | 9.3 (48.7) | 6.9 (44.4) | 11.9 (53.4) |\n| Average low °C (°F) | 1.7 (35.1) | 1.8 (35.2) | 3.1 (37.6) | 4.4 (39.9) | 6.6 (43.9) | 9.4 (48.9) | 11.4 (52.5) | 11.2 (52.2) | 9.4 (48.9) | 6.7 (44.1) | 4.1 (39.4) | 1.8 (35.2) | 6.0 (42.8) |\n| Average precipitation mm (inches) | 45.0 (1.77) | 35.9 (1.41) | 42.1 (1.66) | 35.8 (1.41) | 47.1 (1.85) | 47.3 (1.86) | 61.2 (2.41) | 59.4 (2.34) | 54.5 (2.15) | 59.1 (2.33) | 54.3 (2.14) | 47.4 (1.87) | 589.2 (23.20) |\n| Mean monthly sunshine hours | 59.8 | 91.8 | 113.8 | 159.3 | 196.3 | 174.8 | 182.5 | 167.3 | 135.2 | 103.7 | 72.9 | 51.2 | 1,508.5 |\n| Source: Met Office |" + }, + { + "from": "human", + "value": "Consider the table titled 'Berwick-upon-Tweed', with its section title 'Climate'\nFormulate a sentence describing the highlighted cells' content." + }, + { + "from": "gpt", + "value": "Berwick-upon-Tweed's average precipitation is 589.2 millimetres (23.20 in)." + } + ] + }, + { + "id": "table_instructV_multi_round_32497", + "image": "table_instructV/images/TABMWP_9306.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Location | Temperature (°F) |\n| --- | --- |\n| Death Valley | 134 |\n| Vostok Station | -128 |" + }, + { + "from": "human", + "value": "Based on the table, solve the math word problem. Give a solution step by step. Finally, your final answer should be in the JSON format of {\"answer\": \"\"}.\nProblem: In science class, Brenna is learning about places with extreme temperatures. She learns that the highest temperature ever recorded was in Death Valley, California. She also learns that the lowest temperature ever recorded was in Vostok Station, Antarctica. The record-setting temperatures of the two locations are shown in the table. Which location's temperature was further from zero? (A) Death Valley (B) Vostok Station\nSolution:" + }, + { + "from": "gpt", + "value": "A positive number means the temperature was above zero. A negative number means the temperature was below zero.\nTo find which temperature was further from zero, use absolute value. Absolute value tells you how far a temperature is from zero.\nDeath Valley: |134| = 134\nVostok Station: |-128| = 128\nThe temperature of Death Valley was further from zero. It was 134 degrees above zero.\n\nSo, the answer is {\"answer\": \"Death Valley\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_32581", + "image": "table_instructV/images/TABMWP_27406.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 12 | 13 |\n| 13 | 8 |\n| 14 | 3 |" + }, + { + "from": "human", + "value": "Based on the table, solve the following math problem step by step. In the end, output your final answer using the JSON format: {\"answer\": \"\"}.\nThe table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear" + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{8 - 13}{13 - 12}\n = \\frac{-5}{1}\n = -5\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the first row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{3 - 13}{14 - 12}\n = \\frac{-10}{2}\n = -5\nThe two rates of change are the same.\n5.\nThis means the rate of change is the same for each pair of points. So, the function has a constant rate of change.\nThe function is linear.\n\nSo, the answer is {\"answer\": \"linear\"}." + }, + { + "from": "human", + "value": "Based on the provided table, find the positions of cells with the subsequent values. Return their locations using the JSON format {'value': '', 'location': (row number, column number)}, starting from 1 for both row and column number. Should a cell be absent in the table, denote its location as 'DOES NOT EXIST'.\nThe target cell values:\n1. 'x'\n2. '3'\n3. 'y'\n4. '14'\n5. '12'\n6. '8'" + }, + { + "from": "gpt", + "value": "The target cell locations are as follows:\n1. {'value': 'x', 'location': (1, 1)}\n2. {'value': '3', 'location': (4, 2)}\n3. {'value': 'y', 'location': (1, 2)}\n4. {'value': '14', 'location': (4, 1)}\n5. {'value': '12', 'location': (2, 1)}\n6. {'value': '8', 'location': (3, 2)}" + } + ] + }, + { + "id": "table_instructV_multi_round_32603", + "image": "table_instructV/images/Rotowire_train_table_2564.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Warriors | Golden State | 114 | 32 | 33 | 29 | 20 | 32 | 39 | 9 | 51 | 60 | 39 | 22 | 3 | | | | |\n| Thunder | Oklahoma City | 109 | 40 | 23 | 26 | 20 | 17 | 43 | 15 | 48 | 67 | 44 | 12 | 14 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 42 | 34 | 7 | 9 | 14-24 | 58% | 5-12 | 42% | 1-1 | 100% | 4 | 4 | 1 | 4 | 3 | 0 | G | Golden State |\n| Klay Thompson | 35 | 19 | 2 | 5 | 7-15 | 47% | 2-4 | 50% | 3-3 | 100% | 1 | 1 | 1 | 0 | 2 | 0 | G | Golden State |\n| Draymond Green | 44 | 16 | 9 | 9 | 7-14 | 50% | 1-5 | 20% | 1-4 | 25% | 1 | 2 | 1 | 2 | 7 | 4 | F | Golden State |\n| Shaun Livingston | 19 | 12 | 2 | 1 | 6-9 | 67% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | Golden State |\n| Harrison Barnes | 34 | 12 | 7 | 1 | 5-11 | 46% | 2-4 | 50% | 0-0 | 0% | 2 | 0 | 0 | 2 | 5 | 3 | F | Golden State |\n| Marreese Speights | 19 | 10 | 5 | 1 | 5-10 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 2 | 1 | 4 | 2 | N/A | Golden State |\n| Andre Iguodala | 30 | 7 | 4 | 5 | 2-6 | 33% | 2-4 | 50% | 1-2 | 50% | 1 | 1 | 1 | 0 | 4 | 1 | N/A | Golden State |\n| Festus Ezeli | 10 | 4 | 2 | 1 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 2 | 3 | C | Golden State |\n| Justin Holiday | 7 | 0 | 1 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Golden State |\n| Brandon Rush | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Leandro Barbosa | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Ognjen Kuzmic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Russell Westbrook | 40 | 33 | 3 | 8 | 11-30 | 37% | 3-10 | 30% | 8-12 | 67% | 2 | 6 | 0 | 1 | 2 | 2 | G | Oklahoma City |\n| Kevin Durant | 19 | 30 | 2 | 2 | 10-13 | 77% | 5-6 | 83% | 5-7 | 71% | 0 | 2 | 1 | 0 | 2 | 1 | F | Oklahoma City |\n| Serge Ibaka | 34 | 12 | 6 | 2 | 5-8 | 63% | 2-2 | 100% | 0-0 | 0% | 1 | 4 | 3 | 3 | 3 | 3 | F | Oklahoma City |\n| Andre Roberson | 34 | 10 | 12 | 3 | 4-8 | 50% | 1-3 | 33% | 1-2 | 50% | 1 | 0 | 0 | 2 | 10 | 2 | G | Oklahoma City |\n| Steven Adams | 14 | 6 | 5 | 0 | 3-4 | 75% | 0-0 | 0% | 0-1 | 0% | 0 | 1 | 0 | 1 | 4 | 1 | C | Oklahoma City |\n| Anthony Morrow | 27 | 4 | 3 | 0 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 2 | 1 | N/A | Oklahoma City |\n| Perry Jones III | 19 | 4 | 5 | 0 | 2-7 | 29% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 5 | 1 | N/A | Oklahoma City |\n| Jeremy Lamb | 14 | 4 | 4 | 0 | 1-2 | 50% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 4 | 0 | N/A | Oklahoma City |\n| Reggie Jackson | 23 | 4 | 2 | 1 | 2-8 | 25% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 2 | N/A | Oklahoma City |\n| Kendrick Perkins | 16 | 2 | 1 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 2 | N/A | Oklahoma City |\n| Ish Smith | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Nick Collison | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Lance Thomas | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |" + }, + { + "from": "human", + "value": "Taking into account the statistical tables from the NBA match between Warriors and Thunder on 18th December, 2014, how would you describe the game in a comprehensive summary that highlights its significant events and outcomes?" + }, + { + "from": "gpt", + "value": "The Golden State Warriors (22-3) defeated the Oklahoma City Thunder (12-14) 114-109 on Thursday. Golden State had their 16-game win streak end in Tuesday 's 105-98 loss to the Memphis Grizzlies, but they quickly got back in the win column. Stephen Curry scored a game-high 34 points and also had nine assists and four steals in 42 minutes. The Warriors shot 51 percent from the field and recorded 32 assists, compared to the Thunder 's 17 assists. Golden state has the weekend off before they host the Sacramento Kings on Monday. Oklahoma City had their seven-game win streak snapped, and they lost Kevin Durant to a sprained ankle after the MVP rolled his ankle coming down on Maurice Speights' foot. Durant underwent X-rays that came back negative, and the sprain was graded as being mild, but he was held out of the second half as a precaution. Even in just 19 minutes of action Thursday, Durant scored 30 points on 10-of-13 shooting from the field. Russell Westbrook finished with a team-high 33 points and eight assists in 40 minutes. It 's possible the Thunder could continue to take the cautious route Friday and hold Durant out of their game against the Los Angeles Lakers." + } + ] + }, + { + "id": "table_instructV_multi_round_32700", + "image": "table_instructV/images/TABMWP_15872.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $590 | 18,400 | 1,400 |\n| $620 | 18,000 | 5,900 |\n| $650 | 17,600 | 10,400 |\n| $680 | 17,200 | 14,900 |\n| $710 | 16,800 | 19,400 |" + }, + { + "from": "human", + "value": "Based on the table, solve the following math problem step by step. Format the ultimate answer as a JSON, using the structure {\"answer\": \"\"}.\nLook at the table. Then answer the question. At a price of $620, is there a shortage or a surplus? (A) shortage (B) surplus" + }, + { + "from": "gpt", + "value": "At the price of $620, the quantity demanded is greater than the quantity supplied. There is not enough of the good or service for sale at that price. So, there is a shortage.\n\n\nTherefore, the final answer is {\"answer\": \"shortage\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_32944", + "image": "table_instructV/images/ToTTo_train_table_22278.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Event | Time | | Name | Nationality | Date | Meet | Location | Ref |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 50 m freestyle | 20.94 | | Frédérick Bousquet | France | 26 Apr 2009 | French Championships | Montpellier, France | , ​ |\n| 100 m freestyle | 47.12 | | Alain Bernard | France | 29 Jul 2009 | World Championships | Rome, Italy | , ​ |\n| 200 m freestyle | 1:42.00 | WR | Paul Biedermann | Germany | 28 Jul 2009 | World Championships | Rome, Italy | , ​ |\n| 400 m freestyle | 3:40.07 | WR | Paul Biedermann | Germany | 26 Jul 2009 | World Championships | Rome, Italy | |\n| 800 m freestyle | 7:40.77 | | Gabriele Detti | Italy | 26 July 2017 | World Championships | Budapest, Hungary | |\n| 1500 m freestyle | 14:34.04 | | Gregorio Paltrinieri | Italy | 18 May 2016 | European Championships | London, United Kingdom | |\n| 50 m backstroke | 24.00 | WR | Kliment Kolesnikov | Russia | 4 August 2018 | European Championships | Glasgow, United Kingdom | |\n| 100 m backstroke | 52.11 | | Camille Lacourt | France | 10 Aug 2010 | European Championships | Budapest, Hungary | |\n| 200 m backstroke | 1:53.36 | | Evgeny Rylov | Russia | 8 August 2018 | European Championships | Glasgow, United Kingdom | |\n| 50 m breaststroke | 25.95 | sf, WR | Adam Peaty | Great Britain | 25 July 2017 | World Championships | Budapest, Hungary | |\n| 100 m breaststroke | 57.10 | WR | Adam Peaty | Great Britain | 4 August 2018 | European Championships | Glasgow, United Kingdom | |\n| 200m breaststroke | 2:06.80 | | Anton Chupkov | Russia | 6 August 2018 | European Championships | Glasgow, United Kingdom | |\n| 50 m butterfly | 22.27 | WR | Andriy Govorov | Ukraine | 1 July 2018 | Sette Colli Trophy | Rome, Italy | |\n| 100 m butterfly | 49.95 | | Milorad Čavić | Serbia | 1 Aug 2009 | World Championships | Rome, Italy | |\n| 200 m butterfly | 1:52.70 | | László Cseh | Hungary | 13 Aug 2008 | Olympic Games | Beijing, China | |\n| 200 m individual medley | 1:55.18 | sf | László Cseh | Hungary | 29 Jul 2009 | World Championships | Rome, Italy | |\n| 400 m individual medley | 4:06.16 | | László Cseh | Hungary | 10 Aug 2008 | Olympic Games | Beijing, China | |\n| 4×100 m freestyle relay | 3:08.32 | | (47.91)Amaury Leveaux (47.05)Fabien Gilot (46.63)Frédérick Bousquet (46.73)Alain Bernard | France | 11 Aug 2008 | Olympic Games | Beijing, China | |\n| 4×200 m freestyle relay | 6:59.15 | | (1:45.10)Nikita Lobintsev (1:45.42)Michail Polishuk (1:44.48)Danila Izotov (1:44.15)Alexander Sukhorukov | Russia | 31 Jul 2009 | World Championships | Rome, Italy | |\n| 4×100 m medley relay | 3:28.58 | | (52.27)Helge Meeuw (58.51)Hendrik Feldwehr (50.91)Benjamin Starke (46.89)Paul Biedermann | Germany | 2 Aug 2009 | World Championships | Rome, Italy | |" + }, + { + "from": "human", + "value": "Give you a Wikipedia table titled 'List of European records in swimming'. Its section title is 'Men'. Table-related text is: Legend: # – Record awaiting ratification by LEN; WR – World record; Records not set in finals: h – heat; sf – semifinal; r – relay 1st leg; rh – relay heat 1st leg; b – B final; † – en route to final mark; tt – time trial\nBased on the table and above metadata, generate a one-sentence description about highlighted table cells." + }, + { + "from": "gpt", + "value": "Rylov had the European record in the 200 m backstroke." + } + ] + }, + { + "id": "table_instructV_multi_round_32984", + "image": "table_instructV/images/TabFact_1-2486023-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| year | mens singles | womens singles | mens doubles | womens doubles | mixed doubles |\n| --- | --- | --- | --- | --- | --- |\n| 2013 | lin dan | ratchanok inthanon | muhammad ahsan hendra setiawan | wang xiaoli yu yang | tontowi ahmad lilyana natsir |\n| 2011 | lin dan | wang yihan | cai yun fu haifeng | wang xiaoli yu yang | zhang nan zhao yunlei |\n| 2010 | chen jin | wang lin | cai yun fu haifeng | du jing yu yang | zheng bo ma jin |\n| 2009 | lin dan | lu lan | cai yun fu haifeng | zhang yawen zhao tingting | thomas laybourn kamilla rytter juhl |\n| 2007 | lin dan | zhu lin | markis kido hendra setiawan | zhang jiewen yang wei | nova widianto lilyana natsir |\n| 2006 | lin dan | xie xingfang | cai yun fu haifeng | gao ling huang sui | nathan robertson gail emms |\n| 2005 | taufik hidayat | xie xingfang | howard bach tony gunawan | yang wei zhang jiewen | nova widianto lilyana natsir |\n| 2003 | xia xuanze | zhang ning | lars paaske jonas rasmussen | gao ling huang sui | kim dong - moon ra kyung - min |\n| 2001 | hendrawan | gong ruina | halim haryanto tony gunawan | gao ling huang sui | zhang jun gao ling |\n| 1999 | sun jun | camilla martin | ha tae - kwon kim dong - moon | ge fei gu jun | kim dong - moon ra kyung - min |\n| 1997 | peter rasmussen | ye zhaoying | candra wijaya sigit budiarto | ge fei gu jun | liu yong ge fei |\n| 1995 | heryanto arbi | ye zhaoying | rexy mainaky ricky subagja | gil young - ah jang hye - ock | thomas lund marlene thomsen |\n| 1993 | joko suprianto | susi susanti | ricky subagja rudy gunawan | nong qunhua zhou lei | thomas lund catrine bengtsson |\n| 1991 | zhao jianhua | tang jiuhong | park joo - bong kim moon - soo | guan weizhen nong qunhua | park joo - bong chung myung - hee |\n| 1989 | yang yang | li lingwei | li yongbo tian bingyi | lin ying guan weizhen | park joo - bong chung myung - hee |\n| 1987 | yang yang | han aiping | li yongbo tian bingyi | lin ying guan weizhen | wang pengren shi fangjing |\n| 1985 | han jian | han aiping | park joo - bong kim moon - soo | han aiping li lingwei | park joo - bong yoo sang - hee |\n| 1983 | icuk sugiarto | li lingwei | steen fladberg jesper helledie | lin ying wu dixi | thomas kihlstrãm nora perry |\n| 1980 | rudy hartono | verawaty wiharjo | ade chandra christian hadinata | nora perry jane webster | christian hadinata imelda wiguno |" + }, + { + "from": "human", + "value": "Analyze this table picture about 'gold medalists at the bwf world championships' and classify whether the given table upholds or refutes the statement. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\n\nlin dan won't five men 's singles gold medals , while yang yang only won two men 's singles gold medals" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table upholds the validity of the statement. Therefore, the final answer: {\"answer\": \"upholds\"}." + }, + { + "from": "human", + "value": "What are the cells' value in the following positions in the table? Show the cell value in the JSON format {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"\"}.\nthe 14th row and the 5th column\nthe 3rd row and the 5th column\nthe 9th row and the 2nd column\nthe 12th row and the 6th column\nthe 19th row and the 4th column\nthe 6th row and the 1st column\nthe 17th row and the 5th column\nthe 18th row and the 1st column" + }, + { + "from": "gpt", + "value": "The extracted cell contents are listed below.\n{\"row_id\":\"14\", \"column_id\":\"5\", \"cell_value\":\"nong qunhua zhou lei\"}\n{\"row_id\":\"3\", \"column_id\":\"5\", \"cell_value\":\"wang xiaoli yu yang\"}\n{\"row_id\":\"9\", \"column_id\":\"2\", \"cell_value\":\"xia xuanze\"}\n{\"row_id\":\"12\", \"column_id\":\"6\", \"cell_value\":\"liu yong ge fei\"}\n{\"row_id\":\"19\", \"column_id\":\"4\", \"cell_value\":\"steen fladberg jesper helledie\"}\n{\"row_id\":\"6\", \"column_id\":\"1\", \"cell_value\":\"2007\"}\n{\"row_id\":\"17\", \"column_id\":\"5\", \"cell_value\":\"lin ying guan weizhen\"}\n{\"row_id\":\"18\", \"column_id\":\"1\", \"cell_value\":\"1985\"}" + }, + { + "from": "human", + "value": "Using the information in the table image about 'gold medalists at the bwf world championships', determine whether the next statement is substantiated or disputed by the table. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\n\nthere are two different players that won more than one men 's singles gold medals" + }, + { + "from": "gpt", + "value": "According to the table, the statement is substantiated by the table information. Therefore, the final answer: {\"answer\": \"substantiated\"}." + }, + { + "from": "human", + "value": "Using the information in the table image about 'gold medalists at the bwf world championships', determine whether the next claim is upheld or opposed by the table. Output the final answer as JSON in the format {\"answer\": \"\"}.\n\nthere is only one player that won more than one men 's singles gold medals" + }, + { + "from": "gpt", + "value": "By using the table as supporting evidence, it is evident that the claim is incorrect. Consequently, the answer is {\"answer\": \"opposed\"}." + }, + { + "from": "human", + "value": "Based on the table image about 'gold medalists at the bwf world championships' and the subsequent sentence, determine if the table affirms or conflicts with the subsequent sentence. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\nsentence: lin dan is tied for first with most men 's singles gold medals at five" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table conflicts with the validity of the sentence. Therefore, the final answer: {\"answer\": \"conflicts with\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_33032", + "image": "table_instructV/images/ToTTo_train_table_15817.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 1990 | Law & Order | Martha | Episode: \"Kiss the Girls and Make Them Die\" |\n| 1993 | Phenom | Beverly | Episode: \"Answered Prayers\" |\n| 1994 | Dave's World | The T.A. | Episode: \"Family Membership\" |\n| 1994 | SWAT Kats: The Radical Squadron | Lt. Felina Feral (voice) | 6 episodes |\n| 1995 | The George Carlin Show | Nurse | Episode: \"George Tells the Truth\" |\n| 1995 | Ned and Stacey | Theresa | Episode: \"Reality Check\" |\n| 1995 | Buford's Got a Gun | Estelle | Television short |\n| 1994–1996 | The Fantastic Four | Invisible Woman, additional voices | 27 episodes |\n| 1996 | Boston Common | Liz | 3 episodes |\n| 1996 | Aaahh!!! Real Monsters | Mom, Girl (voice) | Episode: \"Eye Full of Wander/Lifestyles of the Rich and Scary\" |\n| 1996 | Touched by an Angel | Rachel Carson | Episode: \"Into the Light\" |\n| 1997 | The Angry Beavers | Porcupine, Skunk (voice) | Episode: \"Enter the Daggett/Bugaboo\" |\n| 1997 | Cow and Chicken | Winney (voice) | Episode: \"I Am Ambassador\" |\n| 1997–1999, 2001 | Hey Arnold! | Brooke Lloyd, School Secretary, Chocolate Woman, Police Officer Pudney, Announcer (voice) | 5 episodes |\n| 1998 | Animaniacs | Sharon Stone, additional voices | Episode: \"Hooray for North Hollywood: Part 2\" |\n| 1999–2002, 2005–2010 | Family Guy | Diane Simmons, additional voices | 63 episodes |\n| 1999 | Johnny Bravo | Production Assistant, Robot Walla (voice) | Episode: \"Karma Krisis/A Star Is Bruised/The Prince and the Pinhead\" |\n| 1999–present | SpongeBob SquarePants | Pearl Krabs, additional voices | All seasons |\n| 1999 | The Kids from Room 402 | Nurse Pitts (voice) | Episode: \"Son of Einstein\" |\n| 1999 | The Brothers Flub | Additional voices | |\n| 2001 | Will and Grace | Jean | Episode: \"Coffee & Commitment\" |\n| 2002 | The Tick | District Attorney | Episode: \"The Tick vs. Justice\" |\n| 2002 | Charmed | Cynthia | Episode: \"Lost and Bound\" |\n| 2002 | Sabrina, the Teenage Witch | Sabrina's Car (voice) | Episode: \"Driving Mr. Goodman\" |\n| 2002 | Rocket Power | Game Voice (voice) | Episode: \"Sim Sammy/Otto Hangs 11\" |\n| 2002 | 3 South | Felicity, Various (voice) | 2 episodes |\n| 2003 | Friends | Sonya | Episode: \"The One Where Monica Sings\" |\n| 2003 | Good Morning, Miami | Loretta | Episode: \"Mutt and Jake\" |\n| 2003 | Six Feet Under | Macy's Saleswoman | Episode: \"The Eye Inside\" |\n| 2004 | The Wild Thornberrys | Elder's Daughter (voice) | Episode: \"Eliza Unplugged\" |\n| 2005 | The Grim Adventures of Billy & Mandy | Librarian, Rosella, Girl #2 (voice) | Episode \"Duck! / Aren't You Chupacabra to See Me?\" |\n| 2005 | Stroker and Hoop | Leslie, Helena St. Chloe-Butz, Coed, Grandma, Reporter, Woman, Porche, Tour Guide, Sunshine (voice) | 3 episodes |\n| 2005 | CSI: Crime Scene Investigation | Valerie Esposito | Episode: \"Still Life\" |\n| 2006 | W.I.T.C.H. | Brenda (voice) | Episode: \"U is for Undivided\" |\n| 2007 | Cory in the House | Mrs. Flowers | 4 episodes |\n| 2007–2009 | Rick & Steve: The Happiest Gay Couple in All the World | Ivory, Nerds, Dr. Joy, Various Characters, Dixie, Nerd, Eunice, Mail Lady (voice) | 7 episodes |\n| 2008 | Days of Our Lives | Java Café Patron | Episode: \"Episode #1.10942\" |\n| 2009 | Chuck | Judy Roberts | Episode: \"Chuck Versus the First Kill\" |\n| 2009 | Chowder | Lady #2, Lady #6, Lady #8 (voice) | Episode: \"Won Ton Bombs\" |\n| 2009 | Southland | D.A. Deborah Janowitz | 3 episodes |\n| 2009 | The Closer | Kathy Weber | Episode: \"Strike Three\" |\n| 2010–2011 | Mater's Tall Tales | Additional voices | 4 episodes |\n| 2010 | The Hard Times of RJ Berger | Linda Robbins | 2 episodes |\n| 2010 | 90210 | Realtor | Episode: \"Holiday Madness\" |\n| 2010 | Futurama | Additional voices | |\n| 2010 | Fanboy & Chum Chum | Additional voices | |\n| 2011 | BlackBoxTV | Joanna Haywood | Episode: \"The Family Circus\" |\n| 2011 | McCracken Live! | Lauren Hanson | Episode: \"The Pilot Lot\" |\n| 2011 | Law & Order: LA | Robbi Nathan | Episode: \"Benedict Canyon\" |\n| 2011 | Workaholics | Betsy Russ | Episode: \"6 Hours Til Hedonism II\" |\n| 2012 | Lab Rats | Edie (voice) | Episode: \"Commando App\" |\n| 2012 | School Board | Susan | 4 episodes |\n| 2012 | Bones | Gina Carson | Episode: \"The Gunk in the Garage\" |\n| 2013 | Rolling with Dad | Brenda Stickle | Television short |\n| 2013–2014 | Henry Hugglemonster | Momma (voice) | 43 episodes |\n| 2013 | Ray Donovan | Darlene | Episode: \"Road Trip\" |\n| 2013 | Mighty Med | Mrs. Gleason | Episode: \"Evil Gus\" |\n| 2013 | Doc McStuffins | Gloria the Gorilla | Episode: \"You Crack Me Up\" |\n| 2014 | Castle | Ms. Papen | Episode: \"Smells Like Teen Spirit\" |\n| 2014 | Acting Dead | Zombietologist | 2 episodes |\n| 2014 | Grey's Anatomy | Ellen Weaver | Episode: \"Don't Let's Start\" |\n| 2014 | Toy Story That Time Forgot | Bonnie's Mom | Television short |\n| 2015 | Natasha | Natasha's Mother | Episode: \"A Finale\" |\n| 2015 | The League | Mrs. Shtotelman | Episode: \"Deflategate\" |" + }, + { + "from": "human", + "value": "Generate a one-sentence summary about the highlighted table cells based on the following Wikipedia table and its metadata. \nTable title: Lori Alan\nSection title: Television\n" + }, + { + "from": "gpt", + "value": "Alan appeared in Ray Donovan, Workaholics, Bones, Southland, CSI, 90210, Law & Order: LA, Law & Order." + } + ] + }, + { + "id": "table_instructV_multi_round_33034", + "image": "table_instructV/images/TABMWP_21141.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $110 | 20,100 | 14,100 |\n| $210 | 15,400 | 14,800 |\n| $310 | 10,700 | 15,500 |\n| $410 | 6,000 | 16,200 |\n| $510 | 1,300 | 16,900 |" + }, + { + "from": "human", + "value": "Please solve the problem based on the given image. Output the final answer as JSON in the format {\"answer\": \"\"}.\nProblem: Look at the table. Then answer the question. At a price of $110, is there a shortage or a surplus? (A) shortage (B) surplus\nYour Solution:" + }, + { + "from": "gpt", + "value": "At the price of $110, the quantity demanded is greater than the quantity supplied. There is not enough of the good or service for sale at that price. So, there is a shortage.\n\n\nTherefore, the final answer is {\"answer\": \"shortage\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_33050", + "image": "table_instructV/images/Rotowire_train_table_222.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Spurs | San Antonio | 96 | 26 | 25 | 21 | 24 | 26 | 44 | 13 | 43 | 57 | 43 | 3 | 3 | | | | |\n| Clippers | Los Angeles | 102 | 26 | 25 | 25 | 26 | 22 | 43 | 10 | 48 | 71 | 22 | 3 | 3 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Marco Belinelli | 22 | 23 | 2 | 1 | 7-12 | 58% | 7-11 | 64% | 2-3 | 67% | 1 | 0 | 0 | 0 | 2 | 4 | N/A | San Antonio |\n| Boris Diaw | 28 | 17 | 4 | 5 | 8-12 | 67% | 1-4 | 25% | 0-0 | 0% | 1 | 3 | 0 | 2 | 2 | 5 | N/A | San Antonio |\n| Kawhi Leonard | 40 | 12 | 7 | 2 | 3-15 | 20% | 1-3 | 33% | 5-6 | 83% | 0 | 4 | 0 | 1 | 6 | 2 | F | San Antonio |\n| Tim Duncan | 32 | 12 | 13 | 3 | 6-9 | 67% | 0-0 | 0% | 0-2 | 0% | 0 | 1 | 0 | 3 | 10 | 4 | F | San Antonio |\n| Tiago Splitter | 28 | 9 | 10 | 3 | 3-6 | 50% | 0-0 | 0% | 3-8 | 38% | 0 | 1 | 0 | 5 | 5 | 2 | C | San Antonio |\n| Tony Parker | 30 | 8 | 4 | 7 | 4-12 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 4 | 4 | G | San Antonio |\n| Danny Green | 26 | 7 | 0 | 1 | 3-9 | 33% | 1-5 | 20% | 0-0 | 0% | 1 | 1 | 1 | 0 | 0 | 2 | G | San Antonio |\n| Patty Mills | 18 | 5 | 3 | 3 | 1-2 | 50% | 1-2 | 50% | 2-2 | 100% | 0 | 1 | 0 | 0 | 3 | 1 | N/A | San Antonio |\n| Manu Ginobili | 14 | 3 | 1 | 1 | 1-6 | 17% | 1-3 | 33% | 0-0 | 0% | 0 | 0 | 1 | 1 | 0 | 3 | N/A | San Antonio |\n| Matt Bonner | 2 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | San Antonio |\n| Aron Baynes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Cory Joseph | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Jeff Ayres | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | San Antonio |\n| Clippers | | | | | | | | | | | | | | | | | | |\n| Blake Griffin | 41 | 26 | 12 | 6 | 11-21 | 52% | 0-1 | 0% | 4-4 | 100% | 1 | 0 | 4 | 2 | 10 | 2 | F | Los Angeles |\n| JJ Redick | 39 | 19 | 0 | 0 | 7-12 | 58% | 1-4 | 25% | 4-4 | 100% | 0 | 2 | 0 | 0 | 0 | 0 | G | Los Angeles |\n| Chris Paul | 44 | 19 | 4 | 15 | 7-21 | 33% | 1-7 | 14% | 4-4 | 100% | 4 | 1 | 0 | 0 | 4 | 1 | G | Los Angeles |\n| DeAndre Jordan | 36 | 15 | 14 | 0 | 4-5 | 80% | 0-0 | 0% | 7-15 | 47% | 0 | 2 | 3 | 3 | 11 | 2 | C | Los Angeles |\n| Jamal Crawford | 25 | 10 | 1 | 1 | 4-9 | 44% | 0-2 | 0% | 2-2 | 100% | 0 | 2 | 0 | 0 | 1 | 2 | N/A | Los Angeles |\n| Matt Barnes | 29 | 8 | 7 | 0 | 3-3 | 100% | 2-2 | 100% | 0-0 | 0% | 2 | 1 | 0 | 2 | 5 | 4 | F | Los Angeles |\n| Austin Rivers | 11 | 3 | 0 | 0 | 1-6 | 17% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Los Angeles |\n| Glen Davis | 10 | 2 | 3 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 3 | 0 | 5 | N/A | Los Angeles |\n| Dahntay Jones | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Los Angeles |\n| Spencer Hawes | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Los Angeles |\n| Hedo Turkoglu | 4 | 0 | 2 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 1 | N/A | Los Angeles |\n| Lester Hudson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |\n| Ekpe Udoh | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Los Angeles |" + }, + { + "from": "human", + "value": "Given the table titled 'Data statistics of Spurs vs Clippers on 04/30/2015', write a game summary in detail." + }, + { + "from": "gpt", + "value": "The Los Angeles Clippers (3-3) held on to defeat the San Antonio Spurs (3-3), 102-96, in Game 6 on Thursday at the AT & T Center. With their season on the line, the Clippers were able to hold off the Spurs on the road to force Game 7 on Saturday. Offensive basket interference helped seal the win for the Spurs in Game 5, but that same infraction helped the Clippers finish with the victory Thursday. Boris Diaw interfered on a three-point attempt from Marco Belinelli that would have cut San Antonio 's deficit to one point with one second remaining, all but extinguishing its chances to complete the comeback. The Clippers were led once again by Chris Paul and Blake Griffin. Paul finished with 19 points and 15 rebounds while Griffin had 26 points and 12 rebounds. Game 7 will take place Saturday at the Staples Center in Los Angeles. Los Angeles faced elimination in Game 6 after taking a tough four-point loss at home Tuesday, but managed to extend the series to a definitive Game 7. In addition to Paul and Griffin 's big outings, DeAndre Jordan posted a double-double with 15 points and 14 rebounds. The Clippers' bench took a potential hit, however, as Glen Davis exited the game with a left ankle sprain and did not return. If he is unable to go for Game 7, Blake Griffin will have to log heavy minutes once again after playing 41 minutes Thursday. San Antonio committed 13 turnovers and no starter scored more than 12 points. Rising star Kawhi Leonard had a tough night shooting, going 3-for-15 from the floor and finished with 12 points. Marco Belinelli helped keep the Spurs' chances alive with 23 points. Belinelli hit seven of his 11 attempts from three point range, which helped prevent the Clippers from pulling away down the stretch. The Spurs will have to win on the road in Game 7 in order to advance, but have won two of their three road games in this series." + } + ] + }, + { + "id": "table_instructV_multi_round_33065", + "image": "table_instructV/images/ToTTo_train_table_30348.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Place | Nation | Solo | Duet | Team | Total |\n| --- | --- | --- | --- | --- | --- |\n| 1 | Russia Russia | 118 | 174 | 192 | 484 |\n| 2 | Japan Japan | 112 | 168 | 186 | 466 |\n| 3 | United States USA | 104 | 156 | 180 | 440 |\n| 4 | Canada Canada | 94 | 153 | 174 | 421 |\n| 5 | Spain Spain | 98 | 138 | 168 | 404 |\n| 6 | China China | 84 | 132 | 162 | 378 |\n| 7 | France France | 96 | 126 | 138 | 360 |\n| 8 | Italy Italy | 66 | 99 | 156 | 321 |\n| 9 | Greece Greece | 54 | 90 | 150 | 294 |\n| 10 | Brazil Brazil | 58 | 102 | 132 | 292 |\n| 11 | Switzerland Switzerland | 62 | 78 | 144 | 284 |\n| 12 | Egypt Egypt | 20 | 33 | 126 | 179 |" + }, + { + "from": "human", + "value": "Help me finish a table-to-text task. You need to produce a one-sentence description of the highlighted table cells according to the provided table and its related information.\nTable title: 2002 FINA Synchronised Swimming World Cup\nSection title: Point standings" + }, + { + "from": "gpt", + "value": "2002 FINA Synchronised Swimming World Cup featured swimmers from 12 nations, swimming in three events: Solo, Duet and Team." + } + ] + }, + { + "id": "table_instructV_multi_round_33070", + "image": "table_instructV/images/TABMWP_31732.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| | Horizontally | Vertically |\n| --- | --- | --- |\n| 50 photos | 5 | 2 |\n| 100 photos | 3 | 4 |" + }, + { + "from": "human", + "value": "View the table, then figure out the solution to this math problem. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nProblem: Reid just returned from a spring break volunteer trip. He is shopping for a photo album that will showcase his photos from the trip. The albums range in photo capacity and orientation. What is the probability that a randomly selected photo album holds exactly 100 photos and is oriented vertically? Simplify any fractions.\nYour solution:" + }, + { + "from": "gpt", + "value": "Let A be the event \"the photo album holds exactly100 photos\" and B be the event \"the photo album is oriented vertically\".\nTo find the probability that a photo album holds exactly100 photos and is oriented vertically, first identify the sample space and the event.\nThe outcomes in the sample space are the different photo albums. Each photo album is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the photo album holds exactly100 photos and is oriented vertically\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the photo album holds exactly100 photos and is oriented vertically\", so look at the table to see how many photo albums hold exactly100 photos and are oriented vertically.\nThe number of photo albums that hold exactly100 photos and are oriented vertically is 4.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of photo albums.\n5 + 3 + 2 + 4 = 14\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{4}{14}\n = \\frac{2}{7}\nThe probability that a photo album holds exactly100 photos and is oriented vertically is \\frac{2}{7}.\n\nSo, the answer is {\"answer\": \"2/7\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_33083", + "image": "table_instructV/images/TABMWP_12175.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| | Cup | Bowl |\n| --- | --- | --- |\n| Split pea | 4 | 2 |\n| Chicken noodle | 4 | 3 |" + }, + { + "from": "human", + "value": "Solve the math problem below using the information from the table. Detail each step. In the end, output your final answer using the JSON format: {\"answer\": \"\"}.\n\nRon, a soup chef at a new restaurant, kept track of the first week's soup sales. What is the probability that a randomly selected soup was chicken noodle and was ordered in a cup? Simplify any fractions." + }, + { + "from": "gpt", + "value": "Let A be the event \"the soup was chicken noodle\" and B be the event \"the soup was ordered in a cup\".\nTo find the probability that a soup was chicken noodle and was ordered in a cup, first identify the sample space and the event.\nThe outcomes in the sample space are the different soups. Each soup is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the soup was chicken noodle and was ordered in a cup\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the soup was chicken noodle and was ordered in a cup\", so look at the table to see how many soups were chicken noodle and were ordered in a cup.\nThe number of soups that were chicken noodle and were ordered in a cup is 4.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of soups.\n4 + 4 + 2 + 3 = 13\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{4}{13}\nThe probability that a soup was chicken noodle and was ordered in a cup is \\frac{4}{13}.\n\nSo, the answer is {\"answer\": \"4/13\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_33255", + "image": "table_instructV/images/TABMWP_3451.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| | Country | Rock |\n| --- | --- | --- |\n| 0-500 plays | 8 | 2 |\n| 501-1,000 plays | 1 | 5 |" + }, + { + "from": "human", + "value": "Solve this math problem in a stepwise manner. Present the final answer in a JSON format, outlined as {\"answer\": \"\"}.\n\nFor a few weeks, a music producer kept track of newly released songs on a music streaming website. She recorded the music genre and number of times the song was played on its release date. What is the probability that a randomly selected song had 0-500 plays and was rock? Simplify any fractions." + }, + { + "from": "gpt", + "value": "Let A be the event \"the song had 0-500 plays\" and B be the event \"the song was rock\".\nTo find the probability that a song had 0-500 plays and was rock, first identify the sample space and the event.\nThe outcomes in the sample space are the different songs. Each song is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the song had 0-500 plays and was rock\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the song had 0-500 plays and was rock\", so look at the table to see how many songs had 0-500 plays and were rock.\nThe number of songs that had 0-500 plays and were rock is 2.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of songs.\n8 + 1 + 2 + 5 = 16\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{2}{16}\n = \\frac{1}{8}\nThe probability that a song had 0-500 plays and was rock is \\frac{1}{8}.\n\nSo, the answer is {\"answer\": \"1/8\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_33427", + "image": "table_instructV/images/TabFact_1-18600760-15.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| township | county | pop (2010) | land ( sqmi ) | water (sqmi) | latitude | longitude | geo id | ansi code |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| oak creek | bottineau | 24 | 35.445 | 0.000 | 48.675399 | - 100.471642 | 3800958700 | 1759286 |\n| oak valley | bottineau | 52 | 36.016 | 0.087 | 48.777318 | - 100.511814 | 3800958860 | 1759287 |\n| oakhill | barnes | 51 | 35.414 | 0.081 | 46.679076 | - 98.017963 | 3800358780 | 1036402 |\n| oakland | mountrail | 26 | 35.167 | 0.785 | 48.157497 | - 102.109269 | 3806158820 | 1036997 |\n| oakville | grand forks | 200 | 35.059 | 0.047 | 47.883391 | - 97.305536 | 3803558900 | 1036604 |\n| oakwood | walsh | 228 | 33.526 | 0.000 | 48.412107 | - 97.339101 | 3809958980 | 1036534 |\n| oberon | benson | 67 | 57.388 | 0.522 | 47.925443 | - 99.244476 | 3800559060 | 2397849 |\n| odessa | hettinger | 16 | 35.766 | 0.060 | 46.583226 | - 102.104455 | 3804159100 | 1759459 |\n| odessa | ramsey | 49 | 37.897 | 8.314 | 47.968754 | - 98.587529 | 3807159140 | 1759587 |\n| odin | mchenry | 46 | 34.424 | 1.722 | 47.986751 | - 100.637016 | 3804959180 | 1759507 |\n| oliver | williams | 8 | 35.987 | 0.024 | 48.423293 | - 103.320183 | 3810559260 | 1037033 |\n| olivia | mchenry | 40 | 35.874 | 0.035 | 47.900358 | - 100.769959 | 3804959300 | 1759508 |\n| olson | towner | 19 | 35.033 | 0.954 | 48.505811 | - 99.287008 | 3809559380 | 1759659 |\n| ontario | ramsey | 72 | 33.923 | 1.990 | 48.163172 | - 98.601321 | 3807159460 | 1759588 |\n| ops | walsh | 63 | 36.015 | 0.000 | 48.238231 | - 97.578927 | 3809959540 | 1036518 |\n| ora | nelson | 69 | 34.414 | 0.697 | 47.722982 | - 97.946877 | 3806359580 | 1036557 |\n| orange | adams | 22 | 35.802 | 0.133 | 46.012558 | - 102.053893 | 3800159620 | 1037214 |\n| oriska | barnes | 65 | 35.082 | 0.087 | 46.935397 | - 97.752733 | 3800359700 | 1036418 |\n| orlien | ward | 47 | 35.645 | 0.720 | 47.985154 | - 101.796936 | 3810159740 | 1036954 |\n| orthell | williams | 12 | 35.894 | 0.034 | 48.495353 | - 103.728983 | 3810559860 | 1759732 |\n| osago | nelson | 31 | 35.400 | 0.198 | 47.800898 | - 98.328474 | 3806359900 | 1036565 |\n| osborn | mountrail | 285 | 30.296 | 4.988 | 47.987208 | - 102.429987 | 3806159940 | 1034001 |\n| osford | cavalier | 47 | 35.803 | 0.052 | 48.585234 | - 98.115821 | 3801959980 | 1759377 |\n| oshkosh | wells | 56 | 34.747 | 0.065 | 47.623026 | - 99.576942 | 3810360020 | 1759708 |\n| osloe | mountrail | 41 | 35.077 | 0.903 | 48.146259 | - 101.976499 | 3806160060 | 1036937 |\n| osnabrock | cavalier | 36 | 35.505 | 0.439 | 48.594234 | - 98.241946 | 3801960140 | 2397851 |\n| ostby | bottineau | 45 | 35.452 | 0.027 | 48.581052 | - 100.352948 | 3800960180 | 1759288 |\n| otis | mclean | 41 | 35.152 | 0.656 | 47.799001 | - 100.896513 | 3805560260 | 1759541 |\n| overland | ramsey | 14 | 35.602 | 0.400 | 48.406215 | - 98.644574 | 3807160340 | 1759589 |\n| ovid | lamoure | 46 | 35.328 | 0.505 | 46.318992 | - 98.107769 | 3804560420 | 1036886 |" + }, + { + "from": "human", + "value": "This is a table image titled 'list of townships in north dakota', help me determine if the table supports or opposes the following statement. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nthe largest land space was oberon" + }, + { + "from": "gpt", + "value": "Taking into account the table information, the table supports the validity of the statement. Therefore, the final answer: {\"answer\": \"supports\"}." + }, + { + "from": "human", + "value": "According to the table information regarding 'list of townships in north dakota', tell me whether the provided table upholds or disproves the sentence. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\noakwood had more people than oakville" + }, + { + "from": "gpt", + "value": "Based on the table, the sentence holds true. Thus, the final answer is {\"answer\": \"upholds\"}." + }, + { + "from": "human", + "value": "Retrieve the content of the cell located in the 4th row and the 2nd column of this table. Show the cell value in the JSON format {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"\"}." + }, + { + "from": "gpt", + "value": "The target cell value in the 4th row and the 2nd column is {\"row_id\":\"4\", \"column_id\":\"2\", \"cell_value\":\"barnes\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_33469", + "image": "table_instructV/images/Rotowire_train_table_2044.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Hornets | Charlotte | 112 | 28 | 32 | 21 | 31 | 26 | 46 | 13 | 48 | 91 | 47 | 23 | 21 | | | | |\n| Nets | Brooklyn | 105 | 14 | 32 | 35 | 24 | 30 | 40 | 12 | 43 | 80 | 42 | 9 | 34 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Ramon Sessions | 19 | 17 | 2 | 2 | 3-8 | 38% | 3-4 | 75% | 8-8 | 100% | 0 | 1 | 0 | 0 | 2 | 0 | N/A | Charlotte |\n| Michael Kidd-Gilchrist | 35 | 17 | 14 | 1 | 7-11 | 64% | 0-0 | 0% | 3-4 | 75% | 0 | 2 | 2 | 6 | 8 | 3 | F | Charlotte |\n| Kemba Walker | 33 | 16 | 4 | 6 | 6-17 | 35% | 2-6 | 33% | 2-3 | 67% | 0 | 4 | 0 | 0 | 4 | 1 | G | Charlotte |\n| Nicolas Batum | 35 | 16 | 9 | 6 | 6-16 | 38% | 3-6 | 50% | 1-1 | 100% | 4 | 2 | 0 | 0 | 9 | 2 | G | Charlotte |\n| Marco Belinelli | 22 | 14 | 1 | 5 | 5-10 | 50% | 2-6 | 33% | 2-2 | 100% | 0 | 0 | 0 | 0 | 1 | 3 | N/A | Charlotte |\n| Cody Zeller | 31 | 12 | 9 | 3 | 5-7 | 71% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 1 | 0 | 9 | 1 | C | Charlotte |\n| Frank Kaminsky | 25 | 10 | 1 | 2 | 4-5 | 80% | 2-2 | 100% | 0-0 | 0% | 3 | 2 | 0 | 0 | 1 | 4 | N/A | Charlotte |\n| Marvin Williams | 26 | 8 | 6 | 1 | 2-6 | 33% | 2-6 | 33% | 2-2 | 100% | 0 | 2 | 1 | 0 | 6 | 3 | F | Charlotte |\n| Roy Hibbert | 14 | 2 | 0 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Charlotte |\n| Brian Roberts | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Christian Wood | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Treveon Graham | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Spencer Hawes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Nets | | | | | | | | | | | | | | | | | | |\n| Brook Lopez | 31 | 24 | 5 | 4 | 10-21 | 48% | 3-7 | 43% | 1-1 | 100% | 0 | 2 | 2 | 0 | 5 | 3 | C | Brooklyn |\n| Bojan Bogdanovic | 28 | 16 | 3 | 3 | 4-12 | 33% | 4-8 | 50% | 4-4 | 100% | 0 | 2 | 0 | 0 | 3 | 0 | F | Brooklyn |\n| Quincy Acy | 17 | 14 | 4 | 1 | 5-7 | 71% | 3-4 | 75% | 1-1 | 100% | 2 | 0 | 1 | 0 | 4 | 2 | N/A | Brooklyn |\n| Sean Kilpatrick | 27 | 13 | 4 | 5 | 5-14 | 36% | 3-7 | 43% | 0-0 | 0% | 2 | 2 | 0 | 0 | 4 | 2 | G | Brooklyn |\n| Randy Foye | 24 | 11 | 2 | 5 | 4-12 | 33% | 3-7 | 43% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Brooklyn |\n| Caris LeVert | 18 | 9 | 1 | 4 | 2-4 | 50% | 0-2 | 0% | 5-6 | 83% | 2 | 1 | 0 | 0 | 1 | 0 | N/A | Brooklyn |\n| Trevor Booker | 27 | 8 | 9 | 0 | 4-6 | 67% | 0-1 | 0% | 0-0 | 0% | 2 | 3 | 0 | 3 | 6 | 1 | F | Brooklyn |\n| Rondae Hollis-Jefferson | 21 | 7 | 3 | 2 | 3-6 | 50% | 0-3 | 0% | 1-3 | 33% | 1 | 2 | 0 | 0 | 3 | 1 | N/A | Brooklyn |\n| Isaiah Whitehead | 23 | 3 | 4 | 4 | 1-2 | 50% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 4 | 3 | N/A | Brooklyn |\n| Spencer Dinwiddie | 23 | 0 | 5 | 2 | 0-4 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 4 | 3 | G | Brooklyn |\n| Joe Harris | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |\n| Justin Hamilton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |\n| Luis Scola | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Brooklyn |" + }, + { + "from": "human", + "value": "Look at the table in the image and show any merged cells, specifying their locations with the JSON format of {'top-left':(A, B), 'bottom-right':(C, D)}, where A, B, C and D are indices (starting from 1) of the first row, the first column, the last row and the last column, respectively." + }, + { + "from": "gpt", + "value": "This table does not contain any merged cells." + }, + { + "from": "human", + "value": "Taking into account the statistical tables from the NBA match between Hornets and Nets on 2017-01-21, how would you describe the game in a comprehensive summary that highlights its significant events and outcomes?" + }, + { + "from": "gpt", + "value": "The Charlotte Hornets defeated the Brooklyn Nets, 112-105, at Spectrum Center on Saturday. The Nets (9-34) had to have come in to Saturday 's contest with plenty of confidence, having compiled a season-high 143 points against the Pelicans on Friday night. However, the Nets' effort to record a second straight road win was undermined by a highly efficient offensive performance on the part of the Hornets (23-21). Seven Charlotte players hit double digits in the scoring column, and the Hornets reserves contributed a solid 43 points. Brooklyn did come back strong after falling behind by a 28-14 margin after one quarter, but ultimately saw the Hornets pull away in the fourth period. The home team also tallied 48 percent shooting overall, including 48 percent from three-point range. Brooklyn was led by Brook Lopez 's 24 points, which he supplemented with five rebounds, four assists and two blocks. Bojan Bogdanovic totaled 16 points, three rebounds and three assists. Sean Kilpatrick supplied 13 points, five assists, four rebounds and two steals, whileTrevor Booker provided eight points, nine rebounds and a pair of steals. Quincy Acy continued the strong start to his Nets tenure by leading the second unit with 14 points, four rebounds, an assist, two steals and a block. Randy Foye was also a solid contributor off the bench, generating 11 points, five assists and two rebounds. Michael Kidd-Gilchrist co-led the Hornets with a 17-point, 14-rebound double-double that also included an assist and two blocks. Ramon Sessions matched Kidd-Gilchrist 's scoring total and supplemented it with two rebounds and two assists. Kemba Walker and Nicolas Batum chimed in with matching 16-point efforts, with the former adding six assists and four rebounds, and the latter hauling in nine boards, six assists and four steals. Cody Zeller had a near double-double with 12 points, nine rebounds, three assists and a block. Marco Belinelli registered 14 points, five assists and a rebound over 22 minutes, and Frank Kaminsky III was also productive in a reserve role, compiling 10 points, two rebounds, two assists, two steals and a block. The Nets head back home to face off with the San Antonio Spurs on Monday evening, while the Hornets remain home to tangle with the Washington Wizards on Monday night." + } + ] + }, + { + "id": "table_instructV_multi_round_33492", + "image": "table_instructV/images/TABMWP_32109.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 7 | 3 |\n| 8 | 5 |\n| 9 | 13 |" + }, + { + "from": "human", + "value": "Look at the table and break down the following math word problem, step by step. The final result should be presented in the JSON format of {\"answer\": \"\"}.\nThe table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear" + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{5 - 3}{8 - 7}\n = \\frac{2}{1}\n = 2\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the second row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{13 - 5}{9 - 8}\n = \\frac{8}{1}\n = 8\nThe rate of change is not the same for each pair of points. So, the function does not have a constant rate of change.\nThe function is nonlinear.\n\nTherefore, the final answer is {\"answer\": \"nonlinear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_33520", + "image": "table_instructV/images/TABMWP_18705.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Number of restaurants | Number of dishwashers |\n| --- | --- |\n| 1 | 5 |\n| 2 | 10 |\n| 3 | 15 |\n| 4 | ? |" + }, + { + "from": "human", + "value": "Answer the following question based on the table information. Let's think step by step. Finally, your final answer should be in the JSON format of {\"answer\": \"\"}.\nEach restaurant has 5 dishwashers. How many dishwashers are in 4 restaurants?" + }, + { + "from": "gpt", + "value": "Count by fives. Use the chart: there are 20 dishwashers in 4 restaurants.\n\nSo, the answer is {\"answer\": \"20\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_33535", + "image": "table_instructV/images/TabFact_2-15696653-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| draw | song | performer | points | rank |\n| --- | --- | --- | --- | --- |\n| 1 | millennium of love | eamonn toal | 76 | 1st |\n| 2 | why did you have to go | karl power | 30 | 8th |\n| 3 | all in a lifetime | liz fletcher | 48 | 4th |\n| 4 | when you are near | shimma | 55 | 3rd |\n| 5 | shine | lisa stanley | 34 | 6th |\n| 6 | journey to the center of your heart | gavin mccormack | 31 | 7th |\n| 7 | feel good emotion | audrey lynch | 47 | 5th |\n| 8 | crossroads | john hurley | 64 | 2nd |" + }, + { + "from": "human", + "value": "Analyze the table's content, including its title 'ireland in the eurovision song contest 2000', and determine whether the table entails or opposes the given sentence. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\nsentence: karl power had the highest ranking song in the 2000 eurovision song contest" + }, + { + "from": "gpt", + "value": "Based on the table data, we can find that the sentence is false. Consequently, the answer is {\"answer\": \"opposes\"}." + }, + { + "from": "human", + "value": "Examine the table image with the title 'ireland in the eurovision song contest 2000', classify whether the claim is upheld or contradicted based on the table's content and title. Show your final answer in the JSON format {\"answer\": \"\"}.\nclaim: millenium of love ranked in the bottom two with crossroads song occupying the rank above in the eurovision song contest in 2000" + }, + { + "from": "gpt", + "value": "According to the table, the claim is contradicted by the table information. Therefore, the final answer: {\"answer\": \"contradicted\"}." + }, + { + "from": "human", + "value": "Analyze the table picture about 'ireland in the eurovision song contest 2000' and classify whether the next sentence is confirmed or disproved by the table. Provide the final answer in the JSON structure, using the format {\"answer\": \"\"}.\n\nlisa stanley had 3 more points then gavin mccormack in 2000" + }, + { + "from": "gpt", + "value": "Taking into account the table information, we can confirm the validity of the sentence. Hence, the answer is {\"answer\": \"confirmed\"}." + }, + { + "from": "human", + "value": "Given a Wikipedia table with its title, distinguish whether the following claim is entailed or challenged by the table. The final result should be presented in the JSON format of {\"answer\": \"\"}.\ntable title:ireland in the eurovision song contest 2000\nclaim: earmon toal had a highest ranking song in the eurovision song contest in 2000" + }, + { + "from": "gpt", + "value": "Utilizing the table as evidence, we can find that the claim is true. So, the answer is {\"answer\": \"entailed\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_33539", + "image": "table_instructV/images/Rotowire_train_table_1050.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bucks | Milwaukee | 96 | 24 | 17 | 25 | 30 | 23 | 46 | 8 | 42 | 75 | 19 | 0 | 1 | | | | |\n| Hornets | Charlotte | 107 | 32 | 24 | 27 | 24 | 27 | 51 | 10 | 45 | 83 | 30 | 1 | 0 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Bucks | | | | | | | | | | | | | | | | | | |\n| Giannis Antetokounmpo | 39 | 31 | 9 | 5 | 13-21 | 62% | 1-2 | 50% | 4-6 | 67% | 1 | 1 | 1 | 1 | 8 | 5 | G | Milwaukee |\n| Greg Monroe | 29 | 14 | 10 | 3 | 5-13 | 39% | 0-0 | 0% | 4-5 | 80% | 1 | 1 | 3 | 5 | 5 | 0 | N/A | Milwaukee |\n| Jabari Parker | 30 | 13 | 6 | 3 | 4-9 | 44% | 1-1 | 100% | 4-4 | 100% | 0 | 3 | 0 | 2 | 4 | 3 | F | Milwaukee |\n| Matthew Dellavedova | 29 | 11 | 3 | 3 | 5-10 | 50% | 1-3 | 33% | 0-0 | 0% | 0 | 2 | 0 | 0 | 3 | 3 | G | Milwaukee |\n| Malcolm Brogdon | 21 | 8 | 6 | 5 | 3-9 | 33% | 0-3 | 0% | 2-2 | 100% | 0 | 0 | 0 | 0 | 6 | 2 | N/A | Milwaukee |\n| Mirza Teletovic | 27 | 6 | 2 | 1 | 3-12 | 25% | 0-5 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 1 | F | Milwaukee |\n| Jason Terry | 18 | 5 | 2 | 1 | 2-4 | 50% | 0-1 | 0% | 1-1 | 100% | 0 | 0 | 0 | 0 | 2 | 3 | N/A | Milwaukee |\n| John Henson | 10 | 4 | 4 | 0 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 3 | 2 | N/A | Milwaukee |\n| Rashad Vaughn | 8 | 2 | 1 | 0 | 1-3 | 33% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Milwaukee |\n| Michael Beasley | 19 | 2 | 2 | 1 | 1-5 | 20% | 0-0 | 0% | 0-2 | 0% | 1 | 0 | 0 | 1 | 1 | 1 | N/A | Milwaukee |\n| Miles Plumlee | 8 | 0 | 1 | 1 | 0-2 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 0 | 1 | 0 | C | Milwaukee |\n| Thon Maker | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Steve Novak | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Milwaukee |\n| Hornets | | | | | | | | | | | | | | | | | | |\n| Michael Kidd-Gilchrist | 35 | 23 | 14 | 0 | 10-18 | 56% | 0-2 | 0% | 3-3 | 100% | 1 | 0 | 1 | 4 | 10 | 1 | F | Charlotte |\n| Kemba Walker | 35 | 17 | 1 | 8 | 5-15 | 33% | 3-7 | 43% | 4-6 | 67% | 2 | 2 | 0 | 0 | 1 | 2 | G | Charlotte |\n| Roy Hibbert | 32 | 15 | 10 | 3 | 6-9 | 67% | 0-0 | 0% | 3-3 | 100% | 0 | 2 | 5 | 4 | 6 | 4 | C | Charlotte |\n| Cody Zeller | 14 | 15 | 3 | 1 | 5-6 | 83% | 0-0 | 0% | 5-6 | 83% | 0 | 1 | 2 | 1 | 2 | 5 | N/A | Charlotte |\n| Marvin Williams | 29 | 13 | 10 | 2 | 5-12 | 42% | 3-4 | 75% | 0-0 | 0% | 0 | 1 | 1 | 2 | 8 | 4 | F | Charlotte |\n| Nicolas Batum | 34 | 9 | 6 | 7 | 2-9 | 22% | 1-7 | 14% | 4-5 | 80% | 2 | 1 | 0 | 0 | 6 | 2 | G | Charlotte |\n| Marco Belinelli | 26 | 7 | 4 | 1 | 3-8 | 38% | 0-2 | 0% | 1-1 | 100% | 0 | 0 | 0 | 0 | 4 | 1 | N/A | Charlotte |\n| Spencer Hawes | 13 | 4 | 2 | 3 | 2-4 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 1 | 0 | 2 | 1 | N/A | Charlotte |\n| Ramon Sessions | 13 | 4 | 0 | 0 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Charlotte |\n| Jeremy Lamb | 9 | 0 | 1 | 2 | 0-4 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Charlotte |\n| Aaron Harrison | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Treveon Graham | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |\n| Christian Wood | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Charlotte |" + }, + { + "from": "human", + "value": "Examine the tables showing the statistics of an NBA basketball game played by Bucks and Hornets on 2016-10-26. Use the information to compose an in-depth summary of the game's events." + }, + { + "from": "gpt", + "value": "Milwaukee 's Giannis Antetokounmpo continued to stuff the stat sheet after a strong finish to his impressive 2016 campaign, though it was n't enough for the Bucks to beat the Hornets on Wednesday. `` The Greek Freak '' contributed in seemingly every statistical category in his season debut, scoring 31 points, pulling down nine rebounds, dishing five assists and recording a block, a steal, and a three-pointer. In fact, it seemed there was only one column where Giannis was n't posting big numbers : turnovers. The so-called `` point forward '' turned the ball over just once in 39 minutes. The Hornets responded with their own promising young forward, Michael Kidd-Gilchrist. MKG lit up the Milwaukee defense, scoring 23 points and grabbing 14 rebounds. While Kidd-Gilchrist dominated the glass and the scoring column, a new face anchored the defense in Charlotte : Roy Hibbert. The former All-Star blocked five shots in the team 's first contest." + } + ] + }, + { + "id": "table_instructV_multi_round_33687", + "image": "table_instructV/images/TabFact_2-12795474-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| year | series title | chinese title | role | channel |\n| --- | --- | --- | --- | --- |\n| 2003 | dragon laws i : the undercover | 特警飛龍之一 - 臥底威龍 | police officer lung | china - |\n| 2003 | dragon laws ii : kidnapped | 特警飛龍之二 - 大綁架 | police officer lung | china - |\n| 2003 | dragon laws iii : smuggled weapons | 特警飛龍之三 - 走私軍火 | police officer lung | china - |\n| 2003 | dragon laws iv : weapon on sale | 特警飛龍之四 - 炸彈狂徒 | police officer lung | china - |\n| 2003 | dragon laws v : diamond trades | 特警飛龍之五 - 鑽石大盜 | police officer lung | china - |" + }, + { + "from": "human", + "value": "Examine whether the table substantiates or contradicts the subsequent hypothesis. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\ntable title: 'sammo hung filmography'\nhypothesis: the role in the series titled dragon laws i : the undercover was police officer lung" + }, + { + "from": "gpt", + "value": "Based on the table, the hypothesis holds true. Thus, the final answer is {\"answer\": \"substantiates\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_33779", + "image": "table_instructV/images/Rotowire_train_table_563.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Celtics | Boston | 109 | 21 | 21 | 19 | 27 | 28 | 49 | 12 | 40 | 82 | 43 | 5 | 11 | | | | |\n| Pistons | Detroit | 102 | 23 | 20 | 15 | 30 | 20 | 55 | 11 | 36 | 69 | 30 | 3 | 16 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Jeff Green | 36 | 32 | 5 | 1 | 8-22 | 36% | 6-10 | 60% | 10-10 | 100% | 0 | 2 | 1 | 0 | 5 | 0 | F | Boston |\n| Kelly Olynyk | 27 | 20 | 7 | 4 | 8-13 | 62% | 2-4 | 50% | 2-5 | 40% | 2 | 2 | 3 | 0 | 7 | 5 | N/A | Boston |\n| Jared Sullinger | 30 | 14 | 8 | 2 | 5-12 | 42% | 2-4 | 50% | 2-2 | 100% | 2 | 0 | 1 | 0 | 8 | 5 | F | Boston |\n| Brandon Bass | 21 | 9 | 5 | 1 | 2-9 | 22% | 0-0 | 0% | 5-6 | 83% | 0 | 0 | 0 | 1 | 4 | 1 | N/A | Boston |\n| Evan Turner | 27 | 9 | 7 | 5 | 3-8 | 38% | 0-2 | 0% | 3-4 | 75% | 0 | 3 | 0 | 2 | 5 | 1 | N/A | Boston |\n| Tyler Zeller | 27 | 8 | 10 | 0 | 4-6 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 4 | 6 | 3 | C | Boston |\n| Phil Pressey | 17 | 7 | 3 | 4 | 3-5 | 60% | 1-2 | 50% | 0-0 | 0% | 1 | 0 | 0 | 0 | 3 | 2 | N/A | Boston |\n| Avery Bradley | 26 | 6 | 0 | 0 | 2-5 | 40% | 2-3 | 67% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | G | Boston |\n| Gerald Wallace | 9 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Boston |\n| Rajon Rondo | 34 | 2 | 3 | 8 | 1-6 | 17% | 0-1 | 0% | 0-0 | 0% | 3 | 4 | 0 | 1 | 2 | 1 | G | Boston |\n| Marcus Thornton | 6 | 0 | 1 | 1 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Boston |\n| Marcus Smart | 5 | 0 | 0 | 2 | 0-3 | 0% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Boston |\n| James Young | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Pistons | | | | | | | | | | | | | | | | | | |\n| Greg Monroe | 32 | 29 | 7 | 0 | 9-17 | 53% | 0-0 | 0% | 11-11 | 100% | 0 | 2 | 1 | 1 | 6 | 2 | N/A | Detroit |\n| Andre Drummond | 42 | 27 | 14 | 0 | 12-18 | 67% | 0-0 | 0% | 3-8 | 38% | 4 | 2 | 5 | 7 | 7 | 6 | C | Detroit |\n| Kentavious Caldwell-Pope | 41 | 15 | 6 | 1 | 6-15 | 40% | 3-8 | 38% | 0-0 | 0% | 2 | 1 | 0 | 1 | 5 | 3 | G | Detroit |\n| Josh Smith | 28 | 12 | 11 | 3 | 4-15 | 27% | 0-0 | 0% | 4-6 | 67% | 1 | 3 | 1 | 2 | 9 | 6 | F | Detroit |\n| Caron Butler | 29 | 8 | 2 | 0 | 3-9 | 33% | 2-4 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Detroit |\n| Cartier Martin | 12 | 6 | 3 | 0 | 2-3 | 67% | 2-3 | 67% | 0-0 | 0% | 0 | 0 | 0 | 0 | 3 | 1 | N/A | Detroit |\n| Kyle Singler | 24 | 3 | 4 | 1 | 1-7 | 14% | 1-4 | 25% | 0-0 | 0% | 0 | 0 | 0 | 2 | 2 | 1 | F | Detroit |\n| Brandon Jennings | 39 | 1 | 4 | 12 | 0-11 | 0% | 0-6 | 0% | 1-2 | 50% | 0 | 2 | 0 | 2 | 2 | 1 | G | Detroit |\n| D.J. Augustin | 14 | 1 | 3 | 3 | 0-6 | 0% | 0-1 | 0% | 1-2 | 50% | 0 | 1 | 0 | 1 | 2 | 0 | N/A | Detroit |\n| Jonas Jerebko | 4 | 0 | 1 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Detroit |\n| Gigi Datome | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Joel Anthony | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |\n| Spencer Dinwiddie | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Detroit |" + }, + { + "from": "human", + "value": "This picture shows data records of an NBA game on 03/12/2014. Utilizing these data to output a detailed game summary." + }, + { + "from": "gpt", + "value": "The Boston Celtics (5-11) defended their home court well in this game, knocking off the Detroit Pistons (3-15) 109-102 in overtime on Wednesday night at the TD Garden. Detroit pushed hard to try to break their losing streak, but in the end, it just was n't enough. They have now lost 10 games in a row, and ca n't seem to find an answer. The bright spots for Detroit on this night were their big men, as Greg Monroe came off the bench to score 29 points (9-17 FG, 11-11 FT) to go with seven rebounds in 32 minutes. Andre Drummond dominated through 42 minutes of play, as he scored 27 points (12-18 FG, 3-8 FT) to go with 14 rebounds, five blocks and four steals. Brandon Jennings, who has had an up-and-down year, missed all 11 of the shots he took but dished out 12 assists. As for the Celtics, they were led by an impressive game from Jeff Green, who scored 32 points (8-22 FG, 6-10 3Pt, 10-10 Ft) to go with five rebounds. This was the type of night that Green is capable of having, and he was lighting it up from behind the three-point line. Kelly Olynyk was big off of the bench in 27 minutes, as he scored 20 points (8-13 FG, 2-4 3Pt, 2-5 FT) to go with seven rebounds, three assists, three blocks and two steals. While only three players scored in double figures for the Celtics, it ended up being enough, and they saw a total of 10 players score throughout the game. It was a nice win to get back into the win column for the Celtics on Wednesday." + } + ] + }, + { + "id": "table_instructV_multi_round_33789", + "image": "table_instructV/images/ToTTo_train_table_31172.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Year | Title | Role | Notes |\n| --- | --- | --- | --- |\n| 1985 | Delivery Boys | Fast Action | |\n| 1985 | Mixed Blood | Jose | Alternative title: Cocaïne |\n| 1986 | The Return of Billy Jack | | Unfinished film |\n| 1987 | Initiation | Danny Molloy | Alternative title: Zoomstone |\n| 1987 | Five Corners | Castro | |\n| 1988 | Salsa | Ken | |\n| 1988 | Spike of Bensonhurst | Frankie | Alternative titles: The Mafia Kid Throw Back! |\n| 1990 | Silent Love | Giulio | Alternative title: La bocca |\n| 1990 | Twin Peaks | Biker Scotty | Episode: Pilot |\n| 1990 | The Outsiders | Sodapop Curtis | 13 episodes |\n| 1991 | My Own Private Idaho | Gary | |\n| 1992 | Guncrazy | Tom | |\n| 1996 | God's Lonely Man | Glen | |\n| 1996 | Intimate Crimes | Cameron | Alternative title: Delitti a Luce Rossa |" + }, + { + "from": "human", + "value": "Give you a Wikipedia table titled 'Rodney Harvey'. Its section title is 'Filmography'. \nBased on the table and above metadata, generate a one-sentence description about highlighted table cells." + }, + { + "from": "gpt", + "value": "In 1990, Rodney Harvey landed the role of Sodapop Curtis in The Outsiders." + } + ] + }, + { + "id": "table_instructV_multi_round_33983", + "image": "table_instructV/images/ToTTo_train_table_8829.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| | Image | Party | In office | Note |\n| --- | --- | --- | --- | --- |\n| Max Brauer | Max Brauer 1927 | SPD | 22 November 1946 – 2 December 1953 | |\n| Kurt Sieveking | Sieveking Kurt 7. CDU-Bundesparteitag.JPG | CDU | 2 December 1953 – 4 December 1957 | |\n| Max Brauer | Max Brauer 1927 | SPD | 4 December 1957 – 31 December 1960 | |\n| Paul Nevermann | | SPD | 1 January 1961 – 9 June 1965 | |\n| Herbert Weichmann | | SPD | 9 June 1965 – 9 June 1971 | |\n| Peter Schulz | - | SPD | 9 June 1971 – 4 November 1974 | |\n| Hans-Ulrich Klose | - | SPD | 12 November 1974 – 22 May 1981 | |\n| Klaus von Dohnanyi | - | SPD | 24 June 1981 – 8 June 1988 | |\n| Henning Voscherau | Henning Voscherau | SPD | 8 June 1988 – 8 October 1997 | |\n| Ortwin Runde | | SPD | 12 November 1997 – 31 October 2001 | |\n| Ole von Beust | Ole von Beust | CDU | 31 October 2001 – 25 August 2010 | |\n| Christoph Ahlhaus | Christoph Ahlhaus | CDU | 25 August 2010 – 7 March 2011 | |\n| Olaf Scholz | Olaf Scholz | SPD | 7 March 2011 – 13 March 2018 | |\n| Katharina Fegebank | - | Alliance '90/The Greens | 13 March 2018 - 28 March 2018 | (Acting) |\n| Peter Tschentscher | Peter Tschentscher | SPD | Since 28 March 2018 | |" + }, + { + "from": "human", + "value": "Help me finish a table-to-text task. You need to produce a one-sentence description of the highlighted table cells according to the provided table and its related information.\nTable title: List of mayors of Hamburg\nSection title: Since 1946\nTable-related text: Mayors during the federal parliamentary republic of Germany. Second Mayor" + }, + { + "from": "gpt", + "value": "Peter Schulz was a German politician, member of the Social Democratic Party (SPD) and Mayor of Hamburg (1971 – 1974)." + } + ] + }, + { + "id": "table_instructV_multi_round_34123", + "image": "table_instructV/images/ToTTo_train_table_25345.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Location | Mural title | Image | Artist | Date | Notes | NRHP listed |\n| --- | --- | --- | --- | --- | --- | --- |\n| Ada | Country Dance | | Albert Kotin | 1940 | oil on canvas | |\n| Amherst | Pioneers Cross the Ohio River | | Michael Loew | 1941 | oil on canvas Building is now the city’s headquarters for a “Main Street” revitalization project. | |\n| Barnesville | Airmail | | Michael Sarisky | 1937 | oil on canvas | |\n| Bedford | Drift Towards Industrialism | | Karl Anderson | 1937 | oil on canvas Building now used by as offices for an architectural firm. | |\n| Bellevue | Ohio | - | Paul Meltsner | 1937 | | |\n| Bluffton | Joseph Deford and His Friends Build the First Cabin in Bluffton | | Sante Graziani | 1941 | oil on canvas | |\n| Bridgeport | Ohio Harvest | | Richard Kenah | 1940 | oil on canvas | |\n| Caldwell | Noble County-Ohio | | Robert Lepper | 1938 | tempera | |\n| Canton | Steel Industry | | Glenn Shaw | 1934–37 | Thirteen panels | |\n| Chardon | Maple Sugar Camp | | George Picken | 1942 | oil on canvas Mural has been moved to an office nearby | |\n| Cincinnati | Landmarks of Cincinnati | | John Holmes Paul Chidlaw Frederick Springer Richard Zoellner | | | |\n| Cleveland Main Post Office | Post Office Interiors | | Jack Greitzer | 1936 | oil on canvas Two panels | |\n| Cleveland Pearlbrook Branch | Ore Docks and Steel Mills | | Richard Zoellner | 1938 | | |\n| Cleveland University Center Branch | Historical and Modern Scenes of Cleveland | | Clarence Zyuld and John Czosz | 1937 | | |\n| Coldwater | Coldwater Activities | | Joep Nicolas | 1942 | oil on canvas | |\n| Crestline | The Crossroads-Crestline, Ohio | | Gifford Beal | 1943 | oil on canvas | |\n| Dennison | Passenger Pigeon | | Edmund Sawyer | 1940 | oil on canvas | |\n| East Liverpool | Old Bennett Pottery Plant | | Roland Schweinsburg | | \"Building no longer a Post Office\" | |\n| East Palestine | Early East Palestine and Dr. Rhett Chamberlain's Post Office and Warehouse | | Rolf Stoll | 1937 | oil on canvas | |\n| Eaton | Van Ausdel's Trading Post | | Roland Schweinsburg | 1939 | oil on canvas | |\n| Fairborn \"formerly Osborn\" | Wright Brothers in Ohio | | Henry Simon | 1941 | oil on canvas | |\n| Gambier | Bishop C. Chase Selects Site of Kenyon College | | Norris Rahming | 1943 | oil on canvas | |\n| Geneva | Rural Homestead | | William Sommer | 1939 | oil on canvas | |\n| Georgetown | Tobacco Harvest | | Richard Zoellner | 1938 | oil on canvas | |\n| Girard | Workers of the Soil | | John Edward Costigan | 1938 | Mural destroyed | |\n| Granville | First Pulpit in Granville | FWA-PBA-Paintings and Sculptures for Public Buildings-painting depicting wooded scene of westward pioneers singing... - NARA - 197081.tif | Wendell Jones | 1938 | oil on canvas | |\n| Hamilton | Fort Hamilton Agriculture Industries of Hamilton | | Richard Zoellner | 1934 | Six panels | |\n| Hubbard | Steel Industry | | Hubert Mesibov | 1934 | oil on canvas | |\n| Louisville | Farn and Mill | | Herschel Levit | 1941 | tempera | |\n| McConnelsville, | Mail-the Connecting Link | | Sally Haley | 1938 | oil on canvas | |\n| Marrysville | The Farmer | | James Egleson | 1940 | fresco | |\n| Maumee | Communication | | Rudolph Scheffler | 1938 | oil on canvas | |\n| Medina | Gathering the Apple Crop | | Richard Zoellner | 1938 | oil on canvas Mural was destroyed | |\n| Montpelier | Harvest, the Annals of America | | Leonard Ahneman | 1941 | oil on canvas | |\n| Mount Gilead | Pioneering to Progress | | Julius Wyhof | 1938 | oil on canvas | |\n| New Concord | Skaters | | Clyde Singer | 1941 | oil on canvas | |\n| New Lexington | Great Men Came from the Hills | | Isabel Bishop | 1938 | oil on canvas | |\n| New London | New London Facets | | Lloyd R. Ney | 1940 | oil on canvas The only officially Section mural to be labeled \"abstract\" | |\n| Oak Harbor | Early Oak Harbor | | Clarence Zuelch | 1940 | oil on canvas | |\n| Orrville | Judge Smith Orr and Robert Taggard Planning the New Settlement at Orville-1852 | | Aldo Lazzarini | 1937 | oil on canvas | |\n| Perrysburg | Building of fort Meigs 1813 | | Glenn Shaw | 1937 | oil on canvas | |\n| Portsmouth | Characteristic Local Scenes in Portsmouth | | Clarence Carter | 1938 | oil on canvas Four panels | |\n| Portsmouth | Waterfront and Coal Barges | | Richard Zoellner | 1937 | oil on canvas | |\n| Ravenna | Early Ravenna | | Clarence Carter | 1936 | oil on canvas | |\n| Springfield | Printing in Springfield and manufacture of farm implements | | H.H. Wessel | 1937 | | |\n| Tipp City | Construction of Miami-Erie Canal in Miami City | | Herman Zimmerman | 1940 | tempera | |\n| Upper Sandusky | The Mail | | Alois Fabry | 1937 | oil on canvas | |\n| Wadsworth | They came as Wadsworth's First Settler after the War of 1812 | | F. Thornton Martin | 1938 | oil on canvas | |\n| Wapaknneta | Wapakonata and American History | | Joseph Limarzi | 1937 | | |\n| Warren | Romance of Steel, Old and Romance of Steel, Modern | | Glenn Shaw | 1938 | oil on canvas | |\n| Wauseon | Cooperative Planning and Development in Wauseon | | Jack Greitzer | 1938 | oil on canvas | |\n| Waverly | Arrival of Packet | | Roy Best | 1942 | oil on canvas | |\n| Westerville | The Daily Mail | | Olive Nuhfer | 1937 | oil on canvas | |\n| Willard | The Roundhouse | | Mitchell Jamieson | 1941 | oil on canvas | |\n| Willoughby | White Man's First Sight of Lake Erie | | Sterling Smeltzer | 1938 | oil on canvas Mural is \"missing?\" | |\n| Yellow Springs | Yellow Springs-Preparation for Lifework | | Axel Horn | 1941 | oil on canvas | |" + }, + { + "from": "human", + "value": "Help me finish a table-to-text task. You need to produce a one-sentence description of the highlighted table cells according to the provided table and its related information.\nTable title: List of United States post office murals\nSection title: Ohio" + }, + { + "from": "gpt", + "value": "Michael Sarisky painted a mural for the Barnesville, Ohio, Post Office." + } + ] + }, + { + "id": "table_instructV_multi_round_34153", + "image": "table_instructV/images/Rotowire_train_table_1956.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bulls | Chicago | 109 | 17 | 29 | 23 | 30 | 19 | 59 | 16 | 37 | 73 | 21 | 24 | 10 | | | | |\n| Celtics | Boston | 104 | 23 | 17 | 29 | 30 | 26 | 45 | 20 | 45 | 82 | 29 | 11 | 20 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Pau Gasol | 38 | 29 | 16 | 2 | 9-16 | 56% | 1-1 | 100% | 10-11 | 91% | 1 | 5 | 5 | 5 | 11 | 1 | F | Chicago |\n| Aaron Brooks | 20 | 19 | 4 | 1 | 6-15 | 40% | 3-8 | 38% | 4-5 | 80% | 1 | 2 | 0 | 2 | 2 | 1 | N/A | Chicago |\n| Derrick Rose | 35 | 12 | 2 | 1 | 5-18 | 28% | 1-4 | 25% | 1-2 | 50% | 1 | 4 | 0 | 0 | 2 | 1 | G | Chicago |\n| Taj Gibson | 31 | 12 | 6 | 2 | 4-10 | 40% | 0-0 | 0% | 4-5 | 80% | 0 | 0 | 1 | 5 | 1 | 0 | N/A | Chicago |\n| Nikola Mirotic | 38 | 10 | 8 | 4 | 2-10 | 20% | 1-6 | 17% | 5-7 | 71% | 2 | 0 | 0 | 0 | 8 | 2 | F | Chicago |\n| Joakim Noah | 36 | 8 | 12 | 6 | 3-10 | 30% | 0-0 | 0% | 2-4 | 50% | 3 | 4 | 2 | 6 | 6 | 4 | C | Chicago |\n| Kirk Hinrich | 37 | 8 | 5 | 0 | 4-10 | 40% | 0-6 | 0% | 0-0 | 0% | 0 | 1 | 1 | 3 | 2 | 4 | G | Chicago |\n| E'Twaun Moore | 16 | 8 | 3 | 1 | 3-7 | 43% | 0-1 | 0% | 2-4 | 50% | 1 | 0 | 0 | 2 | 1 | 0 | N/A | Chicago |\n| Tony Snell | 13 | 3 | 3 | 2 | 1-4 | 25% | 0-2 | 0% | 1-2 | 50% | 1 | 0 | 0 | 1 | 2 | 1 | N/A | Chicago |\n| Cameron Bairstow | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Nazr Mohammed | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Evan Turner | 40 | 29 | 5 | 6 | 12-22 | 55% | 4-5 | 80% | 1-2 | 50% | 1 | 7 | 0 | 0 | 5 | 3 | G | Boston |\n| Avery Bradley | 36 | 17 | 2 | 0 | 8-15 | 53% | 0-1 | 0% | 1-2 | 50% | 1 | 2 | 0 | 1 | 1 | 2 | G | Boston |\n| Jared Sullinger | 36 | 16 | 16 | 2 | 8-17 | 47% | 0-3 | 0% | 0-0 | 0% | 1 | 2 | 1 | 8 | 8 | 1 | F | Boston |\n| Jeff Green | 38 | 11 | 9 | 2 | 4-18 | 22% | 0-3 | 0% | 3-3 | 100% | 1 | 4 | 1 | 0 | 9 | 3 | F | Boston |\n| Tyler Zeller | 28 | 10 | 1 | 4 | 4-5 | 80% | 0-0 | 0% | 2-2 | 100% | 1 | 1 | 0 | 0 | 1 | 6 | C | Boston |\n| Jae Crowder | 15 | 10 | 3 | 2 | 4-7 | 57% | 0-1 | 0% | 2-2 | 100% | 2 | 0 | 1 | 0 | 3 | 2 | N/A | Boston |\n| Phil Pressey | 13 | 5 | 2 | 3 | 2-7 | 29% | 1-2 | 50% | 0-0 | 0% | 1 | 2 | 1 | 0 | 2 | 1 | N/A | Boston |\n| Marcus Smart | 17 | 4 | 0 | 1 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 0 | 3 | N/A | Boston |\n| Brandan Wright | 15 | 2 | 3 | 3 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 1 | 1 | 2 | 1 | N/A | Boston |\n| Kelly Olynyk | 14 | 0 | 2 | 2 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 2 | 4 | N/A | Boston |\n| Brandon Bass | 14 | 0 | 2 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Boston |\n| Jameer Nelson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |\n| Gerald Wallace | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |" + }, + { + "from": "human", + "value": "Using the data statistics shown for the NBA game on 3rd January, 2015 in this picture, please construct an in-depth analysis and summary of the game." + }, + { + "from": "gpt", + "value": "The Chicago Bulls (24-10) defeated the Boston Celtics (11-20) 109-104 in overtime on Saturday. Chicago has won two straight and nine of their last ten games. They earned Saturday 's win with Jimmy Butler (personal) and Mike Dunleavy (ankle) out of the lineup. Kirk Hinrich and Nikola Mirotic mad spot starts at shooting guard and small forward. It was Mirotic 's first start of his career, and he finished with 10 points, eight rebounds and four assists in 38 minutes. The Bulls were led by Pau Gasol, who put up 29 points, 16 rebounds and five blocks in 38 minutes. Gasol has blocked 14 shots over his last two games, and he is averaging a career-high 2 blocks per game for the season. Chicago will stay home to host the Houston Rockets on Monday. Boston has lost two straight and six of their last seven games. Evan Turner started a third straight game at point guard and finished with 29 points and six assists in 40 minutes. Six players scored in double digits for the Celtics, and Jared Sullinger put up a double-double of 16 points and 16 rebounds. Boston will return home to host the Charlotte Hornets on Monday." + } + ] + }, + { + "id": "table_instructV_multi_round_34167", + "image": "table_instructV/images/TABMWP_17644.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Date | Description | Received | Expenses | Available Funds |\n| --- | --- | --- | --- | --- |\n| | Balance: end of October | | | $336.60 |\n| 11/9 | new app | | $4.95 | $331.65 |\n| 11/17 | tutoring | $15.00 | | $346.65 |\n| 11/20 | corn maze | | $8.00 | $338.65 |" + }, + { + "from": "human", + "value": "Give you a table. Please solve the math problem below, showing each step. Finally, your final answer should be in the JSON format of {\"answer\": \"\"}.\n\nThis is Tim's complete financial record for November. How much money did Tim earn for tutoring? (Unit: $)" + }, + { + "from": "gpt", + "value": "Look at the tutoring row. The amount received was $15.00. So, Tim earned $15.00 for tutoring.\n\n\nTherefore, the final answer is {\"answer\": \"15\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_34182", + "image": "table_instructV/images/ToTTo_train_table_19064.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Year | Champion | Title Game Opponent | Score |\n| --- | --- | --- | --- |\n| 2009 | Notre Dame | Ohio State | 16-7 |\n| 2008 | Notre Dame | Ohio State | 9-2 |" + }, + { + "from": "human", + "value": "Analyzing this Wikipedia table titled 'Great Western Lacrosse League'. It is extracted from a section titled 'Playoff Champions'.\nBased on the table information, craft a sentence that describes the highlighted cells." + }, + { + "from": "gpt", + "value": "The following year, in 2009, Notre Dame again won the GWLL championship, defeating Ohio State 16-7." + }, + { + "from": "human", + "value": "Given this table, what are the contents in row 3? Output the cell values in a row as JSON in the format {\"row_id\":\"\", \"cell_list\":\"\"}, e.g., {\"row_id\":\"3\", \"cell_list\": [\"123.89\", \"News gathering\", \"selected tools\"]}." + }, + { + "from": "gpt", + "value": "The target cell values of row 3: {\"row_id\": \"3\", \"cell_list\": ['2008', 'Notre Dame', 'Ohio State', '9-2']}" + } + ] + }, + { + "id": "table_instructV_multi_round_34189", + "image": "table_instructV/images/ToTTo_train_table_3780.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| DVD Title | Ep # | Release Date | Blu-ray Disc |\n| --- | --- | --- | --- |\n| Tyler Perry's House of Payne Volume 1 | 1–20 | December 4, 2007 | |\n| Tyler Perry's House of Payne Volume 2 | 21–40 | July 1, 2008 | |\n| Tyler Perry's House of Payne Volume 3 | 41–60 | January 13, 2009 | |\n| Tyler Perry's House of Payne Volume 4 | 61–80 | June 16, 2009 | |\n| Tyler Perry's House of Payne Volume 5 | 81–100 | January 13, 2010 | |\n| Tyler Perry's House of Payne Volume 6 | 101–124 | February 8, 2011 | |\n| Tyler Perry's House of Payne Volume 7 | 125–148 | April 5, 2011 | |\n| Tyler Perry's House of Payne Volume 8 | 149–172 | June 14, 2011 | |\n| Tyler Perry's House of Payne Volume 9 | 173–192 | June 19, 2012 | |\n| Tyler Perry's House of Payne Volume 10 | 193–212 | March 5, 2013 | |\n| Tyler Perry's House of Payne Volume 11 | 213–233 | TBA | |\n| Tyler Perry's House of Payne Volume 12 | 234–254 | TBA | |" + }, + { + "from": "human", + "value": "Examine the following Wikipedia table, which is titled 'Tyler Perry's House of Payne' and its section is titled 'Releases'. \nThe surrounded text of the table is: 'Lionsgate Home Entertainment has released the first 10 volumes on DVD in Region 1. It is unknown about the release of the two remaining volumes.'\nBased on the information from the table and its metadata, create a single sentence that summarizes the highlighted table cells." + }, + { + "from": "gpt", + "value": "Tyler Perry's House of Payne series concluded with a total of 254 episodes." + } + ] + }, + { + "id": "table_instructV_multi_round_34243", + "image": "table_instructV/images/TABMWP_24255.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| Employee | Pay period | |\n| --- | --- |\n| Lou Ryan | May | |\n| Total earnings | | $4,974.00 |\n| Federal income tax | $749.30 | |\n| Other taxes | $380.51 | |\n| Total taxes | | ? |\n| Pay after taxes | | ? |" + }, + { + "from": "human", + "value": "Show the detailed solution to answer the following question. At the end of your output, present the final answer as JSON in the format {\"answer\": \"\"}.\nQuestion: Look at Lou's pay stub. Lou lives in a state without state income tax. How much payroll tax did Lou pay in total? (Unit: $)" + }, + { + "from": "gpt", + "value": "To find the total payroll tax, add the federal income tax and the other taxes.\nThe federal income tax is $749.30. The other taxes are $380.51. Add.\n$749.30 + $380.51 = $1,129.81\nLuis paid a total of $1,129.81 in payroll tax.\n\nTherefore, the final answer is {\"answer\": \"1,129.81\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_34249", + "image": "table_instructV/images/TABMWP_17994.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $650 | 14,700 | 4,100 |\n| $700 | 11,500 | 5,600 |\n| $750 | 8,300 | 7,100 |\n| $800 | 5,100 | 8,600 |\n| $850 | 1,900 | 10,100 |" + }, + { + "from": "human", + "value": "View the table, then figure out the solution to this math problem. Conclude your response with a final answer in the JSON format {\"answer\": \"\"}.\nProblem: Look at the table. Then answer the question. At a price of $700, is there a shortage or a surplus? (A) shortage (B) surplus\nYour solution:" + }, + { + "from": "gpt", + "value": "At the price of $700, the quantity demanded is greater than the quantity supplied. There is not enough of the good or service for sale at that price. So, there is a shortage.\n\n\nTherefore, the final answer is {\"answer\": \"shortage\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_34288", + "image": "table_instructV/images/TABMWP_37348.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in this picture and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Number of tables | Number of seats |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | ? |" + }, + { + "from": "human", + "value": "Based on the table, solve the math word problem. Give a solution step by step. The concluding answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nProblem: Each table has 10 seats. How many seats are at 4 tables?\nSolution:" + }, + { + "from": "gpt", + "value": "Count by tens. Use the chart: there are 40 seats at 4 tables.\n\nTherefore, the final answer is {\"answer\": \"40\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_34443", + "image": "table_instructV/images/ToTTo_train_table_2067.jpg", + "conversations": [ + { + "from": "human", + "value": "Reconstruct the table in this picture as a markdown-style table in text.\n" + }, + { + "from": "gpt", + "value": "| Season | Coach | Bowl | Opponent | Result |\n| --- | --- | --- | --- | --- |\n| 1951 | Clyde Lee | Salad Bowl | Dayton | W 26–21 |\n| 1962 | Bill Yeoman | Tangerine Bowl | Miami | W 49–21 |\n| 1969 | Bill Yeoman | Astro-Bluebonnet Bowl | Auburn | W 37–7 |\n| 1971 | Bill Yeoman | Astro-Bluebonnet Bowl | Colorado | L 17–29 |\n| 1973 | Bill Yeoman | Astro-Bluebonnet Bowl | Tulane | W 47–7 |\n| 1974 | Bill Yeoman | Astro-Bluebonnet Bowl | NC State | T 31–31 |\n| 1976 | Bill Yeoman | Cotton Bowl Classic | Maryland | W 30–21 |\n| 1978 | Bill Yeoman | Cotton Bowl Classic | Notre Dame | L 34–35 |\n| 1979 | Bill Yeoman | Cotton Bowl Classic | Nebraska | W 17–14 |\n| 1980 | Bill Yeoman | Garden State Bowl | Navy | W 35–0 |\n| 1981 | Bill Yeoman | Sun Bowl | Oklahoma | L 14–40 |\n| 1984 | Bill Yeoman | Cotton Bowl Classic | Boston College | L 28–45 |\n| 1988 | Jack Pardee | Aloha Bowl | Washington State | L 22–24 |\n| 1996 | Kim Helton | Liberty Bowl | Syracuse | L 17–30 |\n| 2003 | Art Briles | Hawaii Bowl | Hawaii | L 48–54 |\n| 2005 | Art Briles | Fort Worth Bowl | Kansas | L 13–42 |\n| 2006 | Art Briles | Liberty Bowl | South Carolina | L 36–44 |\n| 2007 | Chris Thurmond | Texas Bowl | TCU | L 13–20 |\n| 2008 | Kevin Sumlin | Armed Forces Bowl | Air Force | W 34–28 |\n| 2009 | Kevin Sumlin | Armed Forces Bowl | Air Force | L 20–47 |\n| 2011 | Tony Levine | TicketCity Bowl | Penn State | W 30–14 |\n| 2013 | Tony Levine | BBVA Compass Bowl | Vanderbilt | L 24–41 |\n| 2014 | David Gibbs | Armed Forces Bowl | Pittsburgh | W 35–34 |\n| 2015 | Tom Herman | Peach Bowl | Florida State | W 38–24 |\n| 2016 | Major Applewhite | Las Vegas Bowl | San Diego State | L 10–34 |\n| 2017 | Major Applewhite | Hawaii Bowl | Fresno State | L 27–33 |\n| 2018 | Major Applewhite | Armed Forces Bowl | Army | L 14–70 |" + }, + { + "from": "human", + "value": "Presented is a Wikipedia table named 'Houston Cougars football', which is extracted from a section heading 'Bowl games'.\nAs you can see, some table cells are highlighted with a different color. Please generate a one-sentence summary of these cells." + }, + { + "from": "gpt", + "value": "Prior to Houston's 2008 Armed Forces Bowl win against Air Force, the Cougars had won a bowl game at the 1980 Garden State Bowl." + } + ] + }, + { + "id": "table_instructV_multi_round_34484", + "image": "table_instructV/images/Rotowire_train_table_2080.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Raptors | Toronto | 109 | 19 | 28 | 35 | 27 | 23 | 48 | 13 | 45 | 74 | 43 | 25 | 11 | | | | |\n| Celtics | Boston | 96 | 26 | 17 | 22 | 31 | 23 | 43 | 18 | 47 | 60 | 33 | 12 | 23 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| Kyle Lowry | 38 | 19 | 5 | 7 | 7-17 | 41% | 3-8 | 38% | 2-2 | 100% | 3 | 3 | 0 | 1 | 4 | 2 | G | Toronto |\n| Lou Williams | 30 | 19 | 2 | 3 | 6-16 | 38% | 3-9 | 33% | 4-8 | 50% | 2 | 2 | 0 | 0 | 2 | 1 | N/A | Toronto |\n| Amir Johnson | 27 | 15 | 4 | 0 | 6-10 | 60% | 1-1 | 100% | 2-2 | 100% | 1 | 2 | 2 | 2 | 2 | 5 | F | Toronto |\n| James Johnson | 36 | 15 | 10 | 4 | 7-12 | 58% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 2 | 3 | 7 | 3 | F | Toronto |\n| Jonas Valanciunas | 26 | 15 | 7 | 2 | 7-11 | 64% | 0-0 | 0% | 1-1 | 100% | 0 | 1 | 3 | 3 | 4 | 3 | C | Toronto |\n| Patrick Patterson | 25 | 10 | 9 | 3 | 4-7 | 57% | 2-4 | 50% | 0-0 | 0% | 1 | 0 | 2 | 2 | 7 | 0 | N/A | Toronto |\n| Greivis Vasquez | 19 | 6 | 4 | 2 | 2-6 | 33% | 2-4 | 50% | 0-0 | 0% | 0 | 2 | 0 | 0 | 4 | 0 | N/A | Toronto |\n| Terrence Ross | 21 | 6 | 1 | 2 | 2-9 | 22% | 2-4 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 2 | G | Toronto |\n| Tyler Hansbrough | 18 | 4 | 6 | 0 | 0-3 | 0% | 0-0 | 0% | 4-4 | 100% | 1 | 0 | 1 | 4 | 2 | 4 | N/A | Toronto |\n| Greg Stiemsma | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Bruno Caboclo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Landry Fields | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Charles Hayes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Celtics | | | | | | | | | | | | | | | | | | |\n| Kelly Olynyk | 27 | 23 | 5 | 2 | 8-11 | 73% | 2-4 | 50% | 5-6 | 83% | 2 | 4 | 1 | 1 | 4 | 2 | N/A | Boston |\n| Avery Bradley | 34 | 17 | 1 | 2 | 6-15 | 40% | 2-5 | 40% | 3-4 | 75% | 2 | 1 | 0 | 0 | 1 | 2 | G | Boston |\n| Jared Sullinger | 28 | 13 | 10 | 2 | 6-13 | 46% | 1-4 | 25% | 0-0 | 0% | 1 | 1 | 0 | 1 | 9 | 3 | F | Boston |\n| Marcus Smart | 29 | 12 | 3 | 2 | 5-7 | 71% | 1-3 | 33% | 1-3 | 33% | 1 | 3 | 0 | 1 | 2 | 3 | N/A | Boston |\n| Brandon Bass | 19 | 10 | 6 | 4 | 5-10 | 50% | 0-0 | 0% | 0-1 | 0% | 1 | 2 | 0 | 2 | 4 | 4 | N/A | Boston |\n| Jae Crowder | 22 | 7 | 3 | 2 | 3-5 | 60% | 0-0 | 0% | 1-4 | 25% | 0 | 2 | 1 | 1 | 2 | 1 | F | Boston |\n| Tyler Zeller | 22 | 6 | 5 | 0 | 3-9 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 4 | 2 | C | Boston |\n| Evan Turner | 27 | 4 | 6 | 5 | 2-9 | 22% | 0-1 | 0% | 0-0 | 0% | 0 | 3 | 0 | 2 | 4 | 3 | G | Boston |\n| Phil Pressey | 16 | 4 | 1 | 1 | 1-3 | 33% | 0-1 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 1 | 1 | N/A | Boston |\n| Marcus Thornton | 10 | 0 | 2 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 0 | N/A | Boston |\n| James Young | 6 | 0 | 1 | 2 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 0 | 1 | 0 | N/A | Boston |\n| Gerald Wallace | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Boston |" + }, + { + "from": "human", + "value": "Review the box-score and line-score tables from the NBA game between Raptors and Celtics on 01/10/2015. Compose a game summary based on the data statistics." + }, + { + "from": "gpt", + "value": "The Toronto Raptors (25-11) defeated the Boston Celtics (12-23) 109-96 on Saturday at the Air Canada Centre. The Celtics had a nine-point lead in the second quarter evaporate when Toronto went on a 16-3 run to end the first half. Toronto dominated the paint throughout the night, outscoring Boston 54-42 in that area and had 10 blocks compared to Boston 's three. The Raptors also had an impressive shooting performance from three-point range, shooting 43 % from beyond the arc. Boston lost its second game in as many nights after a tough 107-103 loss in overtime on Friday night at Indiana. Jae Crowder got the start again at small forward, but managed just seven points and three rebounds in 22 minutes of action. The Celtics begin a three-game homestand on Monday when they take on the Pelicans. Toronto snapped its four-game losing streak Saturday night with solid performances from the likes of Kyle Lowry and Jonas Valanciunas. James Johnson, who got the start over Landry Fields, posted a double-double with 15 points and 10 rebounds. Fields did not receive any playing time against the Celtics. Toronto will host Detroit on Monday in the third installment of a six-game homestand." + } + ] + }, + { + "id": "table_instructV_multi_round_34616", + "image": "table_instructV/images/Rotowire_train_table_1273.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Timberwolves | Minnesota | 112 | 25 | 28 | 30 | 29 | 22 | 36 | 8 | 49 | 90 | 37 | 20 | 33 | | | | |\n| Raptors | Toronto | 109 | 33 | 30 | 25 | 21 | 19 | 36 | 13 | 53 | 70 | 39 | 32 | 22 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Timberwolves | | | | | | | | | | | | | | | | | | |\n| Andrew Wiggins | 38 | 31 | 5 | 6 | 11-19 | 58% | 1-2 | 50% | 8-9 | 89% | 2 | 3 | 1 | 2 | 3 | 2 | F | Minnesota |\n| Karl-Anthony Towns | 37 | 29 | 14 | 1 | 8-14 | 57% | 0-2 | 0% | 13-13 | 100% | 1 | 1 | 2 | 6 | 8 | 3 | C | Minnesota |\n| Shabazz Muhammad | 26 | 22 | 2 | 2 | 8-13 | 62% | 2-5 | 40% | 4-6 | 67% | 0 | 0 | 0 | 0 | 2 | 2 | N/A | Minnesota |\n| Gorgui Dieng | 32 | 11 | 9 | 1 | 4-8 | 50% | 1-1 | 100% | 2-2 | 100% | 2 | 0 | 0 | 3 | 6 | 4 | F | Minnesota |\n| Lance Stephenson | 20 | 6 | 4 | 1 | 3-7 | 43% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 4 | 0 | N/A | Minnesota |\n| Ricky Rubio | 21 | 5 | 1 | 7 | 2-7 | 29% | 1-1 | 100% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 2 | G | Minnesota |\n| Tyus Jones | 27 | 5 | 0 | 3 | 2-6 | 33% | 1-4 | 25% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 3 | N/A | Minnesota |\n| Nemanja Bjelica | 15 | 3 | 0 | 1 | 1-3 | 33% | 1-3 | 33% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 2 | N/A | Minnesota |\n| Cole Aldrich | 5 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 1 | N/A | Minnesota |\n| Brandon Rush | 20 | 0 | 1 | 0 | 0-3 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | G | Minnesota |\n| Jordan Hill | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Kris Dunn | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Minnesota |\n| Raptors | | | | | | | | | | | | | | | | | | |\n| DeMar DeRozan | 38 | 30 | 4 | 2 | 12-25 | 48% | 1-4 | 25% | 5-7 | 71% | 1 | 2 | 0 | 1 | 3 | 3 | G | Toronto |\n| Kyle Lowry | 37 | 20 | 2 | 5 | 6-19 | 32% | 4-13 | 31% | 4-5 | 80% | 1 | 3 | 0 | 2 | 0 | 2 | G | Toronto |\n| DeMarre Carroll | 34 | 19 | 9 | 2 | 7-9 | 78% | 5-5 | 100% | 0-0 | 0% | 0 | 1 | 0 | 1 | 8 | 2 | F | Toronto |\n| Jonas Valanciunas | 26 | 16 | 5 | 1 | 7-7 | 100% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 0 | 1 | 4 | 2 | C | Toronto |\n| Terrence Ross | 14 | 11 | 2 | 1 | 5-9 | 56% | 1-4 | 25% | 0-0 | 0% | 1 | 0 | 0 | 0 | 2 | 2 | N/A | Toronto |\n| Cory Joseph | 22 | 4 | 2 | 5 | 1-3 | 33% | 0-1 | 0% | 2-2 | 100% | 1 | 2 | 1 | 0 | 2 | 1 | N/A | Toronto |\n| Jakob Poeltl | 16 | 4 | 4 | 1 | 2-2 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 1 | 3 | 1 | N/A | Toronto |\n| Pascal Siakam | 20 | 3 | 5 | 0 | 1-2 | 50% | 0-0 | 0% | 1-4 | 25% | 0 | 1 | 2 | 3 | 2 | 3 | F | Toronto |\n| Lucas Nogueira | 21 | 2 | 1 | 1 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 4 | N/A | Toronto |\n| Jared Sullinger | 6 | 0 | 2 | 1 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 1 | 1 | N/A | Toronto |\n| Norman Powell | 7 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Toronto |\n| Patrick Patterson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |\n| Fred VanVleet | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Toronto |" + }, + { + "from": "human", + "value": "The image presents the statistics of an NBA game played on 02/08/2017. Please analyze these data and provide a game summary." + }, + { + "from": "gpt", + "value": "The Minnesota Timberwolves defeated the Toronto Raptors, 112-109, on Wednesday at Target Center. The Raptors (33-22) held a fairly comfortable lead for the majority of Wednesday 's contest until a fourth quarter surge from the Timberwolves (20-33) brought the game close down the stretch. And while Minnesota stars Andrew Wiggins and Karl-Anthony Towns shined bright, the hero ultimately ended up being Tyus Jones. Jones, who made a habit of hitting clutch shots in college at Duke, did it on the NBA stage Wednesday night, hitting what would go on to be the game-winning three-pointer with 21 seconds left and the game tied, effectively ending the the Timberwolves' four-game losing streak. Jones played 27 minutes but finished the game with just five points. Wiggins, on the other hand, scored a game-high 31 points on 11-of-19 shooting from the field, while Towns scored 29 points of his own to go along with a game-high 14 rebounds. As for Toronto, DeMar DeRozan had another productive outing in his second game back from injury, scoring a team-high 30 points in 38 minutes. Kyle Lowry added 20 points of his own, while DeMarre Carroll was productive offensively and on the glass, recording 19 points and a team-high nine rebounds in 34 minutes. In the end, the Raptors got great all-around performances from their starting five, but their lack of bench production ultimately prevented them from getting over the hump. Between the six reserves that saw the floor for Toronto on Wednesday, they managed to produce just 20 total points. Up next, the Timberwolves will take on the Pelicans at home Friday, while the Raptors will have off until Sunday when they take on the Pistons." + } + ] + }, + { + "id": "table_instructV_multi_round_34713", + "image": "table_instructV/images/TABMWP_12205.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $240 | 15,800 | 5,200 |\n| $420 | 13,600 | 8,600 |\n| $600 | 11,400 | 12,000 |\n| $780 | 9,200 | 15,400 |\n| $960 | 7,000 | 18,800 |" + }, + { + "from": "human", + "value": "Problem: \nLook at the table. Then answer the question. At a price of $420, is there a shortage or a surplus? (A) shortage (B) surplus\n\nAnswer the above problem related to the table. At the end of your output, present the final answer as JSON in the format {\"answer\": \"\"}.\nSolution:" + }, + { + "from": "gpt", + "value": "At the price of $420, the quantity demanded is greater than the quantity supplied. There is not enough of the good or service for sale at that price. So, there is a shortage.\n\n\nSo, the answer is {\"answer\": \"shortage\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_34714", + "image": "table_instructV/images/Rotowire_train_table_1484.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Warriors | Golden State | 99 | 36 | 19 | 22 | 22 | 31 | 39 | 16 | 53 | 69 | 33 | 2 | 0 | | | | |\n| Rockets | Houston | 98 | 28 | 27 | 20 | 23 | 20 | 39 | 10 | 46 | 68 | 30 | 0 | 2 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 37 | 33 | 3 | 6 | 13-21 | 62% | 5-11 | 46% | 2-3 | 67% | 1 | 6 | 0 | 0 | 3 | 2 | G | Golden State |\n| Andrew Bogut | 31 | 14 | 8 | 4 | 7-9 | 78% | 0-0 | 0% | 0-1 | 0% | 0 | 4 | 5 | 2 | 6 | 4 | C | Golden State |\n| Klay Thompson | 33 | 13 | 4 | 1 | 6-15 | 40% | 1-7 | 14% | 0-0 | 0% | 0 | 2 | 1 | 0 | 4 | 4 | G | Golden State |\n| Draymond Green | 39 | 12 | 8 | 7 | 3-9 | 33% | 1-3 | 33% | 5-7 | 71% | 1 | 4 | 1 | 0 | 8 | 4 | F | Golden State |\n| Shaun Livingston | 14 | 8 | 4 | 0 | 4-4 | 100% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 3 | 1 | N/A | Golden State |\n| Harrison Barnes | 28 | 7 | 4 | 4 | 3-8 | 38% | 1-2 | 50% | 0-0 | 0% | 2 | 0 | 0 | 2 | 2 | 0 | F | Golden State |\n| Andre Iguodala | 32 | 6 | 2 | 6 | 2-2 | 100% | 0-0 | 0% | 2-2 | 100% | 2 | 0 | 0 | 0 | 2 | 0 | N/A | Golden State |\n| Leandro Barbosa | 15 | 4 | 0 | 3 | 2-6 | 33% | 0-1 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Golden State |\n| Festus Ezeli | 12 | 2 | 6 | 0 | 1-3 | 33% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 1 | 2 | 4 | 2 | N/A | Golden State |\n| James Michael McAdoo | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Brandon Rush | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Justin Holiday | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| David Lee | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Rockets | | | | | | | | | | | | | | | | | | |\n| James Harden | 41 | 38 | 10 | 9 | 13-21 | 62% | 3-6 | 50% | 9-10 | 90% | 3 | 2 | 1 | 1 | 9 | 2 | G | Houston |\n| Dwight Howard | 40 | 19 | 17 | 1 | 8-11 | 73% | 0-0 | 0% | 3-7 | 43% | 2 | 2 | 1 | 5 | 12 | 3 | C | Houston |\n| Terrence Jones | 26 | 12 | 2 | 1 | 6-12 | 50% | 0-1 | 0% | 0-0 | 0% | 1 | 2 | 3 | 1 | 1 | 1 | N/A | Houston |\n| Josh Smith | 21 | 10 | 1 | 2 | 5-17 | 29% | 0-3 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 1 | 2 | F | Houston |\n| Jason Terry | 35 | 9 | 1 | 4 | 3-7 | 43% | 3-5 | 60% | 0-0 | 0% | 0 | 0 | 0 | 1 | 0 | 3 | G | Houston |\n| Trevor Ariza | 39 | 7 | 6 | 1 | 3-8 | 38% | 1-4 | 25% | 0-0 | 0% | 2 | 2 | 0 | 2 | 4 | 4 | F | Houston |\n| Corey Brewer | 19 | 3 | 0 | 1 | 1-5 | 20% | 0-1 | 0% | 1-2 | 50% | 0 | 1 | 0 | 0 | 0 | 2 | N/A | Houston |\n| Clint Capela | 8 | 0 | 2 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 1 | 0 | N/A | Houston |\n| Pablo Prigioni | 7 | 0 | 0 | 1 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 1 | N/A | Houston |\n| Nick Johnson | 3 | 0 | 0 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Houston |\n| KJ McDaniels | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Joey Dorsey | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |\n| Kostas Papanikolaou | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Houston |" + }, + { + "from": "human", + "value": "From the data presented in the box-score and line-score tables of the NBA game between Warriors and Rockets on 05/21/2015, generate an insightful summary that captures the game's dynamics and key statistics." + }, + { + "from": "gpt", + "value": "The Golden State Warriors (20) defeated the Houston Rockets (0-2), 99-98, at the Oracle Arena on Thursday in Game 2 of the Western Conference Finals. When Houston 's James Harden corralled a defensive rebound with time dwindling in the fourth, trailing by one, it was another opportunity for the MVP runner-up to hit a buzzer-beater. It was n't to be on Thursday, however, as Golden State 's Stephen Curry and Klay Thompson clamped down on Harden and did n't allow him to get a shot away as time expired and the Warriors survived another close game. Harden and Curry each turned in Herculean performances once again, as Harden kept Houston in the game with 38 points, 10 rebounds, and nine assists while Curry lit up the scoreboard for 33 points. The Warriors now have a two-game advantage in the series, which will transition to Houston for Game 3 on Saturday. Houston looked flat in the early going Thursday, but erased a 17-point deficit in the second quarter to tie the game going into the half. Dwight Howard, who suffered a sprained knee in the series opener and was listed as a game-time decision, was able to play through the pain to post 19 points and 17 rebounds over 40 minutes. Houston 's bench was largely ineffective in Game 2 outside of Terrence Jones, who scored 12 of the bench unit 's 15 points. The Rockets will obviously be disappointed being down 20 in the series, but they should be encouraged that the total margin of the first two games is just five points. Houston will look to get its first win of the series at home on Saturday. Golden State not only got a big game from its star, Steph Curry, but also Andrew Bogut. After battling an illness in Game 1 that required an IV, Bogut had 14 points, eight rebounds, and five blocks in 31 minutes. The Warriors were efficient on the offensive end with a 53 field goal percentage and were stout defensively as they held the Rockets to 30 % from three point range. Golden State also used excellent ball movement, as shown by 31 assists on 41 made baskets. The Warriors have a chance to take a commanding 30 lead Saturday, but will have to do so on the road." + } + ] + }, + { + "id": "table_instructV_multi_round_34735", + "image": "table_instructV/images/TABMWP_26784.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 12 | 12 |\n| 13 | 7 |\n| 14 | 2 |" + }, + { + "from": "human", + "value": "View the table, then figure out the solution to this math problem. In the last of your solution, output the final answer as JSON in the format {\"answer\": \"\"}.\nProblem: The table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear\nYour solution:" + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{7 - 12}{13 - 12}\n = \\frac{-5}{1}\n = -5\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the second row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{2 - 7}{14 - 13}\n = \\frac{-5}{1}\n = -5\nThe two rates of change are the same.\n5.\nThis means the rate of change is the same for each pair of points. So, the function has a constant rate of change.\nThe function is linear.\n\nTherefore, the final answer is {\"answer\": \"linear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_34744", + "image": "table_instructV/images/TABMWP_4381.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Location | Elevation (m) |\n| --- | --- |\n| Top of the skyscraper | 275 |\n| Bottom of the mine | -260 |" + }, + { + "from": "human", + "value": "Please solve the problem based on the given image. At the end of your output, present the final answer as JSON in the format {\"answer\": \"\"}.\nProblem: Mary likes watching the show Engineering Marvels. In last night's episode, the engineering team visited a tall skyscraper and a deep mine. A banner at the bottom of the screen showed the elevation of each location the team visited. Which location is closer to sea level? (A) top of the skyscraper (B) bottom of the mine\nYour Solution:" + }, + { + "from": "gpt", + "value": "The top of the skyscraper has a positive elevation, so it is above sea level. The bottom of the mine has a negative elevation, so it is below sea level.\nTo find the location closer to sea level, use absolute value. Absolute value tells you how far each location is from sea level.\nTop of the skyscraper: |275| = 275\nBottom of the mine: |-260| = 260\nThe top of the skyscraper is 275 meters above sea level, but the bottom of the mine is only260 meters below sea level. The bottom of the mine is closer to sea level.\n\nThus, the final answer is {\"answer\": \"bottom of the mine\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_34857", + "image": "table_instructV/images/TABMWP_22725.jpg", + "conversations": [ + { + "from": "human", + "value": "\nExamine the table in the shown picture and generate a markdown text representation of the table." + }, + { + "from": "gpt", + "value": "| Number of drawers | Number of pairs of scissors |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | ? |" + }, + { + "from": "human", + "value": "Check out the table image. Provide a detail solution to this problem. In the end, output your final answer using the JSON format: {\"answer\": \"\"}.\n\nProblem: Each drawer has 2 pairs of scissors. How many pairs of scissors are in 3 drawers? (Unit: pairs of scissors)\n\nSolution:" + }, + { + "from": "gpt", + "value": "Count by twos. Use the chart: there are 6 pairs of scissors in 3 drawers.\n\nSo, the answer is {\"answer\": \"6\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_34947", + "image": "table_instructV/images/TABMWP_9593.jpg", + "conversations": [ + { + "from": "human", + "value": "Watch this table and show a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Number of necklaces | Number of pearls |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | 40 |\n| 5 | ? |" + }, + { + "from": "human", + "value": "Based on the table, solve the following math problem step by step. Format the ultimate answer as a JSON, using the structure {\"answer\": \"\"}.\nEach necklace has 10 pearls. How many pearls are on 5 necklaces?" + }, + { + "from": "gpt", + "value": "Count by tens. Use the chart: there are 50 pearls on 5 necklaces.\n\nSo, the answer is {\"answer\": \"50\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_34948", + "image": "table_instructV/images/TABMWP_31209.jpg", + "conversations": [ + { + "from": "human", + "value": "Please read the table in this image and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $1,000 | 22,500 | 14,600 |\n| $1,100 | 20,700 | 14,800 |\n| $1,200 | 18,900 | 15,000 |\n| $1,300 | 17,100 | 15,200 |\n| $1,400 | 15,300 | 15,400 |" + }, + { + "from": "human", + "value": "Math word problem: Look at the table. Then answer the question. At a price of $1,100, is there a shortage or a surplus? (A) shortage (B) surplus\n\nShow your detailed solution with the final answer in the JSON format {'answer': ''}." + }, + { + "from": "gpt", + "value": "At the price of $1,100, the quantity demanded is greater than the quantity supplied. There is not enough of the good or service for sale at that price. So, there is a shortage.\n\n\nThus, the final answer is {\"answer\": \"shortage\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_34959", + "image": "table_instructV/images/TABMWP_2588.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Option | Change in phone price |\n| --- | --- |\n| Add an upgrade | $60 |\n| Buy a used phone | -$75 |" + }, + { + "from": "human", + "value": "Use the provided table image to solve the math challenge step by step. Format the ultimate answer as a JSON, using the structure {\"answer\": \"\"}.\nLeslie is looking at the price of new cell phones online. Her favorite company, OrangeTech, has a special this weekend. Leslie can add an upgrade to a phone for an additional cost, or she can buy a used phone to get a discount. The change in price for each option is shown in the table. Which option results in a greater change in price? (A) adding an upgrade (B) buying a used phone" + }, + { + "from": "gpt", + "value": "To find the option that results in a greater change in price, use absolute value. Absolute value tells you how much the price changes.\nAdd an upgrade: |$60| = $60\nBuy a used phone: |-$75| = $75\nBuying a used phone results in a greater change in price. It reduces the price by $75.\n\nTherefore, the final answer is {\"answer\": \"buying a used phone\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_34974", + "image": "table_instructV/images/Rotowire_train_table_1326.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Spurs | San Antonio | 102 | 24 | 24 | 31 | 23 | 26 | 59 | 19 | 43 | 74 | 29 | 38 | 11 | | | | |\n| 76ers | Philadelphia | 86 | 21 | 32 | 20 | 13 | 21 | 46 | 21 | 34 | 74 | 36 | 18 | 31 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Spurs | | | | | | | | | | | | | | | | | | |\n| Kawhi Leonard | 25 | 19 | 8 | 5 | 8-17 | 47% | 0-2 | 0% | 3-5 | 60% | 2 | 4 | 2 | 4 | 4 | 1 | F | San Antonio |\n| Dewayne Dedmon | 22 | 13 | 10 | 1 | 5-7 | 71% | 0-0 | 0% | 3-3 | 100% | 0 | 2 | 2 | 2 | 8 | 4 | C | San Antonio |\n| David Lee | 17 | 12 | 9 | 1 | 4-7 | 57% | 0-0 | 0% | 4-6 | 67% | 2 | 3 | 2 | 3 | 6 | 1 | N/A | San Antonio |\n| Davis Bertans | 30 | 12 | 6 | 3 | 5-14 | 36% | 2-8 | 25% | 0-0 | 0% | 2 | 2 | 0 | 2 | 4 | 2 | F | San Antonio |\n| Danny Green | 29 | 12 | 4 | 0 | 5-10 | 50% | 2-5 | 40% | 0-0 | 0% | 2 | 0 | 0 | 1 | 3 | 3 | G | San Antonio |\n| Patty Mills | 18 | 12 | 2 | 4 | 5-9 | 56% | 2-3 | 67% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | San Antonio |\n| Jonathon Simmons | 19 | 11 | 3 | 0 | 3-8 | 38% | 0-1 | 0% | 5-6 | 83% | 0 | 0 | 1 | 0 | 3 | 2 | N/A | San Antonio |\n| Joel Anthony | 13 | 4 | 4 | 0 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 1 | 2 | 2 | 1 | N/A | San Antonio |\n| Kyle Anderson | 24 | 4 | 5 | 3 | 1-3 | 33% | 0-0 | 0% | 2-2 | 100% | 3 | 3 | 1 | 0 | 5 | 1 | N/A | San Antonio |\n| Manu Ginobili | 9 | 2 | 4 | 2 | 0-3 | 0% | 0-1 | 0% | 2-3 | 67% | 0 | 2 | 0 | 0 | 4 | 2 | N/A | San Antonio |\n| Tony Parker | 26 | 1 | 4 | 6 | 0-5 | 0% | 0-0 | 0% | 1-2 | 50% | 1 | 0 | 0 | 0 | 4 | 1 | G | San Antonio |\n| Dejounte Murray | 5 | 0 | 0 | 1 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 0 | 1 | N/A | San Antonio |\n| Bryn Forbes | 3 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | San Antonio |\n| 76ers | | | | | | | | | | | | | | | | | | |\n| Ersan Ilyasova | 39 | 25 | 9 | 2 | 8-17 | 47% | 2-6 | 33% | 7-8 | 88% | 4 | 3 | 1 | 2 | 7 | 5 | F | Philadelphia |\n| Dario Saric | 36 | 14 | 8 | 1 | 5-17 | 29% | 2-7 | 29% | 2-2 | 100% | 1 | 6 | 0 | 3 | 5 | 3 | F | Philadelphia |\n| Jahlil Okafor | 25 | 9 | 9 | 3 | 4-12 | 33% | 0-0 | 0% | 1-1 | 100% | 0 | 1 | 0 | 3 | 6 | 3 | C | Philadelphia |\n| Timothe Luwawu-Cabarrot | 30 | 9 | 2 | 1 | 3-10 | 30% | 1-3 | 33% | 2-2 | 100% | 0 | 3 | 1 | 1 | 1 | 1 | N/A | Philadelphia |\n| Nik Stauskas | 28 | 8 | 4 | 1 | 2-10 | 20% | 2-5 | 40% | 2-2 | 100% | 1 | 1 | 1 | 1 | 3 | 3 | G | Philadelphia |\n| Sergio Rodriguez | 17 | 8 | 2 | 4 | 3-7 | 43% | 1-1 | 100% | 1-2 | 50% | 2 | 4 | 0 | 0 | 2 | 2 | N/A | Philadelphia |\n| Chasson Randle | 15 | 5 | 1 | 1 | 2-6 | 33% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 2 | N/A | Philadelphia |\n| T.J. McConnell | 32 | 4 | 5 | 7 | 2-5 | 40% | 0-1 | 0% | 0-0 | 0% | 2 | 3 | 1 | 0 | 5 | 3 | G | Philadelphia |\n| Richaun Holmes | 19 | 4 | 6 | 1 | 1-4 | 25% | 0-0 | 0% | 2-6 | 33% | 0 | 0 | 1 | 2 | 4 | 1 | N/A | Philadelphia |\n| Robert Covington | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Gerald Henderson | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Joel Embiid | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |\n| Nerlens Noel | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Philadelphia |" + }, + { + "from": "human", + "value": "With the statistical data from the box-score and line-score tables of the NBA matchup between Spurs and 76ers dated February 02, 2017, draft a detailed narrative describing the game's progression and outcomes." + }, + { + "from": "gpt", + "value": "The Spurs were expected to win this game easily, but it took a monster second half to do so. In fact, San Antonio outscored Philadelphia, 54-33, in the second half. Defense was key for the Spurs, as they held the Sixers to 34 percent shooting and forced them to commit 23 turnovers. Ersan Ilyasova carried the load in the absence of Joel Embiid, as he tallied 25 points, 10 rebounds and four steals. Dario Saric was the only other Sixer in double figures, as he totaled 14 points and nine rebounds, despite committing seven turnovers. Kawhi Leonard led the Spurs in scoring, as he accumulated 19 points, eight rebounds, five assists, two steals and two blocks. Dewayne Dedmon started for LaMarcus Aldridge and amassed 13 points and 10 rebounds. The Spurs bench was huge, as they combined for 45 points and 26 rebounds." + } + ] + }, + { + "id": "table_instructV_multi_round_34989", + "image": "table_instructV/images/TABMWP_32229.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| | Front door of the house | Back door of the house |\n| --- | --- | --- |\n| Blue sticker | 5 | 2 |\n| Green sticker | 8 | 5 |" + }, + { + "from": "human", + "value": "Give you a table. Please solve the math problem below, showing each step. Conclude your response with a final answer in the JSON format {\"answer\": \"\"}.\n\nPorter keeps all his spare keys in a box under his bed. Recently, Porter decided the box was becoming unmanageable, as none of the keys were labeled. He set about labeling them with colored stickers that indicated what each key opened. What is the probability that a randomly selected key is labeled with a green sticker and opens the back door of the house? Simplify any fractions." + }, + { + "from": "gpt", + "value": "Let A be the event \"the key is labeled with a green sticker\" and B be the event \"the key opens the back door of the house\".\nTo find the probability that a key is labeled with a green sticker and opens the back door of the house, first identify the sample space and the event.\nThe outcomes in the sample space are the different keys. Each key is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the key is labeled with a green sticker and opens the back door of the house\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the key is labeled with a green sticker and opens the back door of the house\", so look at the table to see how many keys are labeled with a green sticker and open the back door of the house.\nThe number of keys that are labeled with a green sticker and open the back door of the house is 5.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of keys.\n5 + 8 + 2 + 5 = 20\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{5}{20}\n = \\frac{1}{4}\nThe probability that a key is labeled with a green sticker and opens the back door of the house is \\frac{1}{4}.\n\nSo, the answer is {\"answer\": \"1/4\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_34990", + "image": "table_instructV/images/Rotowire_train_table_2027.jpg", + "conversations": [ + { + "from": "human", + "value": "Examine the table in the shown picture and generate a markdown text representation of the table.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Suns | Phoenix | 99 | 26 | 29 | 13 | 31 | 16 | 50 | 13 | 43 | 88 | 27 | 28 | 20 | | | | |\n| Bulls | Chicago | 93 | 23 | 19 | 25 | 26 | 20 | 49 | 11 | 41 | 63 | 22 | 30 | 19 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Suns | | | | | | | | | | | | | | | | | | |\n| Eric Bledsoe | 37 | 23 | 4 | 6 | 8-16 | 50% | 2-3 | 67% | 5-5 | 100% | 3 | 4 | 0 | 1 | 3 | 1 | G | Phoenix |\n| Goran Dragic | 36 | 21 | 2 | 4 | 9-18 | 50% | 1-4 | 25% | 2-2 | 100% | 1 | 1 | 2 | 1 | 1 | 3 | G | Phoenix |\n| Marcus Morris | 23 | 12 | 5 | 1 | 4-11 | 36% | 2-5 | 40% | 2-2 | 100% | 2 | 1 | 0 | 2 | 3 | 2 | N/A | Phoenix |\n| Markieff Morris | 32 | 12 | 14 | 3 | 5-16 | 31% | 0-2 | 0% | 2-2 | 100% | 0 | 2 | 1 | 2 | 12 | 4 | F | Phoenix |\n| Brandan Wright | 19 | 8 | 5 | 0 | 3-4 | 75% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 2 | 2 | 3 | 2 | N/A | Phoenix |\n| Alex Len | 21 | 7 | 8 | 0 | 3-4 | 75% | 0-0 | 0% | 1-2 | 50% | 0 | 2 | 0 | 1 | 7 | 5 | C | Phoenix |\n| PJ Tucker | 32 | 6 | 7 | 1 | 3-8 | 38% | 0-3 | 0% | 0-0 | 0% | 0 | 1 | 0 | 1 | 6 | 2 | F | Phoenix |\n| Isaiah Thomas | 24 | 6 | 3 | 1 | 2-9 | 22% | 1-5 | 20% | 1-2 | 50% | 1 | 1 | 0 | 1 | 2 | 1 | N/A | Phoenix |\n| Miles Plumlee | 17 | 4 | 2 | 0 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | Phoenix |\n| Gerald Green | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| TJ Warren | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Zoran Dragic | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Tyler Ennis | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Bulls | | | | | | | | | | | | | | | | | | |\n| Derrick Rose | 36 | 23 | 5 | 3 | 8-23 | 35% | 0-6 | 0% | 7-9 | 78% | 0 | 3 | 0 | 2 | 3 | 2 | G | Chicago |\n| Jimmy Butler | 42 | 22 | 7 | 4 | 8-18 | 44% | 1-6 | 17% | 5-8 | 63% | 2 | 2 | 0 | 0 | 7 | 2 | G | Chicago |\n| Aaron Brooks | 32 | 21 | 2 | 2 | 8-13 | 62% | 3-5 | 60% | 2-2 | 100% | 2 | 0 | 0 | 0 | 2 | 4 | N/A | Chicago |\n| Pau Gasol | 36 | 10 | 19 | 3 | 5-14 | 36% | 0-0 | 0% | 0-5 | 0% | 0 | 1 | 1 | 6 | 13 | 2 | F | Chicago |\n| Joakim Noah | 33 | 9 | 10 | 5 | 3-8 | 38% | 0-0 | 0% | 3-3 | 100% | 1 | 1 | 2 | 4 | 6 | 3 | C | Chicago |\n| Taj Gibson | 22 | 4 | 1 | 2 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 0 | 1 | 1 | N/A | Chicago |\n| Tony Snell | 20 | 2 | 5 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 0 | 5 | 2 | F | Chicago |\n| Kirk Hinrich | 11 | 2 | 0 | 0 | 1-4 | 25% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 1 | N/A | Chicago |\n| E'Twaun Moore | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Chicago |\n| Nikola Mirotic | 8 | 0 | 0 | 0 | 0-1 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 1 | N/A | Chicago |\n| Doug McDermott | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Cameron Bairstow | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |\n| Nazr Mohammed | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Chicago |" + }, + { + "from": "human", + "value": "Based on the shown data records of an NBA game which took place on 30th January, 2015 between Suns and Bulls, craft a detailed narrative that encapsulates the game's highlights and overall performance." + }, + { + "from": "gpt", + "value": "The Phoenix Suns (28-20) beat the Chicago Bulls (30-19) 99-93 on Friday. Phoenix was led by their starting backcourt of Eric Bledsoe and Goran Dragic. They combined for 44 points, six rebounds, 10 assists, four steals and two blocks. The Suns are 10-4 in January, having put together two separate four-game win streaks this month. Phoenix owns the eighth best record in the Western Conference. They 're currently 3 games ahead of the New Orleans Pelicans, and would face the Golden State Warriors if the playoffs started today. The Bulls were coming off two straight overtime games on their West Coast road trip, and may have just ran out of gas. They kept themselves in it late, but Eric Bledsoe 's layup with 10 seconds remaining put it in the bag for the Suns. Pau Gasol had a stellar January, averaging 20 points, 13 rebounds, 3 assists and 3 blocks. He finished the month with another nice performance of 10 points and 19 rebounds. Gasol recorded nine straight double-doubles to end the month. The Suns have won two straight and will take on the Golden State Warriors on Saturday. The Bulls will have off until Wednesday when they face the Houston Rockets who have won four straight games." + } + ] + }, + { + "id": "table_instructV_multi_round_35169", + "image": "table_instructV/images/TABMWP_12910.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 18 | 15 |\n| 19 | 11 |\n| 20 | 1 |" + }, + { + "from": "human", + "value": "Solve the math problem below using the information from the table. Detail each step. Conclude your response with the final answer in the JSON format, structured as {\"answer\": \"\"}.\n\nThe table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear" + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{11 - 15}{19 - 18}\n = \\frac{-4}{1}\n = -4\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the second row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{1 - 11}{20 - 19}\n = \\frac{-10}{1}\n = -10\nThe rate of change is not the same for each pair of points. So, the function does not have a constant rate of change.\nThe function is nonlinear.\n\nThus, the final answer is {\"answer\": \"nonlinear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_35198", + "image": "table_instructV/images/TabFact_2-15271980-2.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| outcome | tournament | surface | opponent | score |\n| --- | --- | --- | --- | --- |\n| runner - up | australia f4 , bairnsdale , australia | clay | konstantinos economidis | 3 - 6 , 2 - 6 |\n| winner | usa f21 , wi , usa | hard | kevin anderson | 6 - 3 , 6 - 7 (2) , 6 - 1 |\n| runner - up | australia f7 , australia | hard | rob steckley | 5 - 7 , 3 - 6 |\n| winner | australia f9 , australia | hard | miles armstrong | 6 - 3 , 6 - 3 |\n| winner | great britain f13 , great britain | grass | daniel king - turner | 6 - 4 , 6 - 4 |\n| runner - up | great britain f14 , great britain | hard | robert smeets | 4 - 6 , 6 - 4 , 4 - 6 |\n| runner - up | australia f3 , australia | hard | colin ebelthite | 4 - 6 , 2 - 6 |\n| runner - up | australia f12 , australia | hard | marinko matosevic | 3 - 6 , 6 - 7 (4) |\n| runner - up | new zealand f1 , new zealand | hard | rameez junaid | 3 - 6 , 3 - 6 |\n| runner - up | australia f7 , australia | hard | alex bolt | 7 - 5 , 3 - 6 , 1 - 6 |\n| runner - up | australia f8 , australia | hard | matt reid | 3 - 6 , 6 - 3 , 3 - 6 |\n| winner | australia f9 , australia | hard | alex bolt | 3 - 6 , 7 - 6 (2) , 6 - 2 |\n| runner - up | australia f10 , australia | hard | michael venus | 3 - 6 , 6 - 3 , 3 - 6 |\n| winner | thailand f3 , thailand | hard | pruchya isarow | 6 - 4 , 6 - 1 |\n| winner | australia f6 , australia | hard | andrew whittington | 7 - 6 (6) , 6 - 4 |" + }, + { + "from": "human", + "value": "Analyze the table picture about 'adam feeney' and classify whether the next statement is upheld or contradicted by the table. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\n\nthe surface was hard only during the great britain f13 , for which daniel king - turner was the opponent" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the statement is not valid. Hence, the answer is {\"answer\": \"contradicted\"}." + }, + { + "from": "human", + "value": "Examine the table titled 'adam feeney' and judge whether the table affirms or conflicts with the following sentence. Output the final answer as JSON in the format {\"answer\": \"\"}.\nthe outcome for the tournaments in which kevin anderson and rob steckley were the opponents was winner and runner - up , respectively" + }, + { + "from": "gpt", + "value": "Based on the table data, we can affirm the truth of the sentence. Consequently, the answer is {\"answer\": \"affirms\"}." + }, + { + "from": "human", + "value": "Analyze the table picture about 'adam feeney' and classify whether the next statement is upheld or contradicted by the table. Return the result as JSON in the format {\"answer\": \"\"}, e.g., {\"answer\": \"deputed\"}.\n\nthe surface was grass only during the australia f4 , for which konstantinos economidis was the opponent" + }, + { + "from": "gpt", + "value": "By using the table as supporting evidence, it is evident that the statement is incorrect. Consequently, the answer is {\"answer\": \"contradicted\"}." + }, + { + "from": "human", + "value": "This is a table image titled 'adam feeney', help me determine if the table affirms or disputes the following claim. Format your final answer as a JSON, using the structure {\"answer\": \"\"}.\nthe outcome for the tournaments in which pruchya isarow and andrew whittington were the opponents was both winner" + }, + { + "from": "gpt", + "value": "Based on the table, the claim holds true. Thus, the final answer is {\"answer\": \"affirms\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_35270", + "image": "table_instructV/images/TABMWP_27151.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| | Regular cleaning | Broken tooth |\n| --- | --- | --- |\n| Patients under 18 years old | 3 | 3 |\n| Patients 19-60 years old | 1 | 3 |" + }, + { + "from": "human", + "value": "Based on the table, solve the math word problem. Give a solution step by step. Provide a concluding answer in a JSON structure, using the format {\"answer\": \"\"}.\nProblem: A dentist was making note of her upcoming appointments with different aged patients and the reasons for their visits. What is the probability that a randomly selected appointment is with patients under 18 years old and is for a regular cleaning? Simplify any fractions.\nSolution:" + }, + { + "from": "gpt", + "value": "Let A be the event \"the appointment is with patients under 18 years old\" and B be the event \"the appointment is for a regular cleaning\".\nTo find the probability that a appointment is with patients under 18 years old and is for a regular cleaning, first identify the sample space and the event.\nThe outcomes in the sample space are the different appointments. Each appointment is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the appointment is with patients under 18 years old and is for a regular cleaning\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the appointment is with patients under 18 years old and is for a regular cleaning\", so look at the table to see how many appointments are with patients under 18 years old and are for a regular cleaning.\nThe number of appointments that are with patients under 18 years old and are for a regular cleaning is 3.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of appointments.\n3 + 1 + 3 + 3 = 10\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{3}{10}\nThe probability that a appointment is with patients under 18 years old and is for a regular cleaning is \\frac{3}{10}.\n\nThus, the final answer is {\"answer\": \"3/10\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_35432", + "image": "table_instructV/images/Rotowire_train_table_813.jpg", + "conversations": [ + { + "from": "human", + "value": "This picture illustrates a table. Please represent this table with the markdown-format in text.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Mavericks | Dallas | 91 | 26 | 24 | 19 | 22 | 23 | 39 | 14 | 41 | 79 | 35 | 31 | 42 | | | | |\n| Thunder | Oklahoma City | 92 | 25 | 10 | 22 | 35 | 17 | 48 | 17 | 44 | 86 | 26 | 42 | 31 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Mavericks | | | | | | | | | | | | | | | | | | |\n| Nerlens Noel | 28 | 15 | 8 | 1 | 6-12 | 50% | 0-0 | 0% | 3-4 | 75% | 4 | 1 | 2 | 4 | 4 | 4 | C | Dallas |\n| Wesley Matthews | 37 | 15 | 4 | 4 | 5-13 | 39% | 2-9 | 22% | 3-3 | 100% | 1 | 2 | 0 | 0 | 4 | 2 | G | Dallas |\n| Yogi Ferrell | 32 | 13 | 4 | 5 | 5-10 | 50% | 3-4 | 75% | 0-0 | 0% | 3 | 3 | 0 | 1 | 3 | 2 | G | Dallas |\n| Devin Harris | 21 | 12 | 6 | 1 | 4-7 | 57% | 1-3 | 33% | 3-3 | 100% | 2 | 3 | 1 | 1 | 5 | 0 | N/A | Dallas |\n| Harrison Barnes | 37 | 10 | 2 | 0 | 4-14 | 29% | 1-4 | 25% | 1-2 | 50% | 1 | 1 | 0 | 1 | 1 | 1 | F | Dallas |\n| J.J. Barea | 29 | 10 | 1 | 8 | 3-9 | 33% | 2-4 | 50% | 2-2 | 100% | 1 | 1 | 0 | 0 | 1 | 0 | N/A | Dallas |\n| Salah Mejri | 17 | 8 | 5 | 1 | 3-4 | 75% | 0-0 | 0% | 2-3 | 67% | 0 | 0 | 0 | 1 | 4 | 3 | N/A | Dallas |\n| Dirk Nowitzki | 25 | 8 | 8 | 2 | 3-9 | 33% | 1-3 | 33% | 1-2 | 50% | 0 | 3 | 1 | 0 | 8 | 3 | F | Dallas |\n| Dorian Finney-Smith | 14 | 0 | 1 | 1 | 0-2 | 0% | 0-2 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Dallas |\n| Dwight Powell | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| Jarrod Uthoff | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| Nicolas Brussino | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| Manny Harris | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Dallas |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Russell Westbrook | 36 | 37 | 13 | 10 | 15-30 | 50% | 2-9 | 22% | 5-5 | 100% | 2 | 6 | 0 | 0 | 13 | 0 | G | Oklahoma City |\n| Victor Oladipo | 37 | 15 | 9 | 2 | 6-15 | 40% | 3-6 | 50% | 0-0 | 0% | 1 | 2 | 1 | 1 | 8 | 3 | G | Oklahoma City |\n| Taj Gibson | 24 | 13 | 6 | 1 | 6-10 | 60% | 0-0 | 0% | 1-1 | 100% | 0 | 1 | 1 | 4 | 2 | 2 | F | Oklahoma City |\n| Steven Adams | 29 | 8 | 6 | 1 | 4-6 | 67% | 0-0 | 0% | 0-0 | 0% | 2 | 3 | 2 | 3 | 3 | 3 | C | Oklahoma City |\n| Enes Kanter | 17 | 6 | 2 | 0 | 2-6 | 33% | 0-0 | 0% | 2-4 | 50% | 0 | 3 | 0 | 2 | 0 | 4 | N/A | Oklahoma City |\n| Doug McDermott | 13 | 5 | 2 | 0 | 2-3 | 67% | 1-2 | 50% | 0-0 | 0% | 1 | 0 | 0 | 1 | 1 | 1 | N/A | Oklahoma City |\n| Jerami Grant | 15 | 4 | 1 | 0 | 1-3 | 33% | 0-2 | 0% | 2-2 | 100% | 0 | 0 | 2 | 0 | 1 | 0 | N/A | Oklahoma City |\n| Andre Roberson | 36 | 2 | 3 | 2 | 1-5 | 20% | 0-2 | 0% | 0-0 | 0% | 3 | 0 | 1 | 0 | 3 | 3 | F | Oklahoma City |\n| Semaj Christon | 20 | 2 | 3 | 1 | 0-5 | 0% | 0-1 | 0% | 2-2 | 100% | 0 | 1 | 0 | 0 | 3 | 2 | N/A | Oklahoma City |\n| Alex Abrines | 7 | 0 | 2 | 0 | 0-2 | 0% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 2 | N/A | Oklahoma City |\n| Nick Collison | 6 | 0 | 1 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 1 | 1 | N/A | Oklahoma City |\n| Norris Cole | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Domantas Sabonis | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |" + }, + { + "from": "human", + "value": "What are the cells' values in these columns of the table? The cells in a column should be presented in the JSON format of {\"column_id\":\"\", \"cell_list\":\"\"}, e.g., {\"column_id\":\"3\", \"cell_list\": [\"xxx\", \"yyy\", \"zzz\"]}.\ncolumn 17,\ncolumn 14,\ncolumn 6,\ncolumn 13," + }, + { + "from": "gpt", + "value": "The extracted column contents are listed below.\nFor column 17: {\"column_id\": \"17\", \"cell_list\": ['', '', '', '', 'PF', '', '4', '2', '2', '0', '1', '0', '3', '3', '1', 'N/A', 'N/A', 'N/A', 'N/A', '', '0', '3', '2', '3', '4', '1', '0', '3', '2', '2', '1', 'N/A', 'N/A']}\nFor column 14: {\"column_id\": \"14\", \"cell_list\": ['WINS', '31', '42', '', 'BLK', '', '2', '0', '0', '1', '0', '0', '0', '1', '0', 'N/A', 'N/A', 'N/A', 'N/A', '', '0', '1', '1', '2', '0', '0', '2', '1', '0', '0', '0', 'N/A', 'N/A']}\nFor column 6: {\"column_id\": \"6\", \"cell_list\": ['PTS_QTR3', '19', '22', '', 'FG', '', '6-12', '5-13', '5-10', '4-7', '4-14', '3-9', '3-4', '3-9', '0-2', 'N/A', 'N/A', 'N/A', 'N/A', '', '15-30', '6-15', '6-10', '4-6', '2-6', '2-3', '1-3', '1-5', '0-5', '0-2', '0-0', 'N/A', 'N/A']}\nFor column 13: {\"column_id\": \"13\", \"cell_list\": ['FG3_PCT', '35', '26', '', 'TO', '', '1', '2', '3', '3', '1', '1', '0', '3', '0', 'N/A', 'N/A', 'N/A', 'N/A', '', '6', '2', '1', '3', '3', '0', '0', '0', '1', '1', '0', 'N/A', 'N/A']}" + }, + { + "from": "human", + "value": "Using the data statistics shown for the NBA game on 27th March, 2017 in this picture, please construct an in-depth analysis and summary of the game." + }, + { + "from": "gpt", + "value": "The Oklahoma City Thunder defeated the Dallas Mavericks 92-91 Monday at American Airlines Center. With just over three minutes remaining in Monday 's contest, the Thunder (42-31) looked dead in the water, as they were down 13 and the Mavericks (31-42) had control for majority of the game. Russell Westbrook, however, had other plans, as he led the team on a 140 run to end the game that was topped off by a game-winning jumper from the free throw line. Westbrook finished with yet another triple-double of 37 points (16 of which came in the final quarter), 13 rebounds and 10 assists in 36 minutes, and he did so while shooting an efficient 15-of-30 from the field. And the MVP-candidate carried the load for Oklahoma City, as Victor Oladipo (15) and Taj Gibson (13) were the only other players to score in double figures for the Thunder. As for Dallas, they played a strong 45 minutes before collapsing down the stretch and missing their final six shots from the field. Six different Mavericks players managed to score in double figures, but overall, it ended up being a subpar offensive performance from the team, as they shot just 41 percent from the field. It was, however, one of the better performances from Nerlens Noel since he was traded to Dallas, as he recorded 15 points on 6-of-12 shooting and eight rebounds--both of which were team-highs--in 28 minutes. Up next, the Thunder will head to Orlando on Wednesday to take on the Magic, while the Mavericks will look to avoid dropping their third straight game in New Orleans on Wednesday." + } + ] + }, + { + "id": "table_instructV_multi_round_35641", + "image": "table_instructV/images/Rotowire_train_table_1561.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Warriors | Golden State | 107 | 27 | 28 | 22 | 30 | 29 | 50 | 13 | 46 | 65 | 39 | 62 | 13 | | | | |\n| Suns | Phoenix | 106 | 22 | 22 | 27 | 35 | 25 | 47 | 11 | 47 | 65 | 26 | 38 | 38 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Warriors | | | | | | | | | | | | | | | | | | |\n| Stephen Curry | 34 | 28 | 8 | 5 | 10-22 | 46% | 6-11 | 55% | 2-2 | 100% | 0 | 6 | 0 | 1 | 7 | 3 | G | Golden State |\n| Klay Thompson | 32 | 16 | 3 | 6 | 6-14 | 43% | 2-7 | 29% | 2-2 | 100% | 0 | 0 | 1 | 1 | 2 | 1 | G | Golden State |\n| Marreese Speights | 18 | 12 | 6 | 0 | 6-12 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 2 | 0 | 1 | 5 | 2 | N/A | Golden State |\n| James Michael McAdoo | 22 | 8 | 8 | 0 | 3-5 | 60% | 0-0 | 0% | 2-5 | 40% | 1 | 0 | 1 | 2 | 6 | 3 | N/A | Golden State |\n| Shaun Livingston | 18 | 8 | 3 | 3 | 3-6 | 50% | 0-0 | 0% | 2-3 | 67% | 0 | 0 | 0 | 1 | 2 | 1 | N/A | Golden State |\n| Andrew Bogut | 23 | 8 | 9 | 3 | 4-7 | 57% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 2 | 6 | 3 | 1 | C | Golden State |\n| David Lee | 21 | 7 | 6 | 1 | 3-7 | 43% | 0-0 | 0% | 1-2 | 50% | 0 | 0 | 0 | 2 | 4 | 2 | F | Golden State |\n| Andre Iguodala | 27 | 7 | 2 | 5 | 2-4 | 50% | 1-2 | 50% | 2-2 | 100% | 1 | 4 | 1 | 0 | 2 | 2 | N/A | Golden State |\n| Leandro Barbosa | 16 | 5 | 1 | 3 | 2-5 | 40% | 1-3 | 33% | 0-1 | 0% | 2 | 0 | 0 | 0 | 1 | 2 | N/A | Golden State |\n| Harrison Barnes | 24 | 4 | 3 | 3 | 2-8 | 25% | 0-3 | 0% | 0-0 | 0% | 0 | 0 | 0 | 1 | 2 | 2 | F | Golden State |\n| Justin Holiday | 3 | 2 | 0 | 0 | 1-1 | 100% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Golden State |\n| Festus Ezeli | 3 | 2 | 1 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Golden State |\n| Brandon Rush | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Golden State |\n| Suns | | | | | | | | | | | | | | | | | | |\n| Eric Bledsoe | 40 | 18 | 6 | 11 | 6-17 | 35% | 2-5 | 40% | 4-5 | 80% | 1 | 2 | 1 | 1 | 5 | 3 | G | Phoenix |\n| Markieff Morris | 33 | 17 | 12 | 5 | 7-10 | 70% | 1-1 | 100% | 2-3 | 67% | 0 | 4 | 0 | 1 | 11 | 5 | F | Phoenix |\n| TJ Warren | 28 | 17 | 5 | 2 | 8-12 | 67% | 0-2 | 0% | 1-1 | 100% | 0 | 0 | 0 | 0 | 5 | 0 | N/A | Phoenix |\n| Brandan Wright | 28 | 16 | 12 | 0 | 6-12 | 50% | 0-0 | 0% | 4-6 | 67% | 2 | 3 | 2 | 5 | 7 | 0 | C | Phoenix |\n| PJ Tucker | 37 | 14 | 4 | 4 | 4-9 | 44% | 1-1 | 100% | 5-6 | 83% | 2 | 1 | 0 | 1 | 3 | 0 | G | Phoenix |\n| Marcus Morris | 26 | 10 | 4 | 1 | 5-14 | 36% | 0-4 | 0% | 0-1 | 0% | 0 | 1 | 0 | 1 | 3 | 2 | F | Phoenix |\n| Gerald Green | 9 | 7 | 2 | 0 | 3-7 | 43% | 1-4 | 25% | 0-0 | 0% | 0 | 0 | 0 | 0 | 2 | 0 | N/A | Phoenix |\n| Archie Goodwin | 20 | 4 | 0 | 1 | 2-4 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 3 | N/A | Phoenix |\n| Jerel McNeal | 3 | 2 | 0 | 0 | 1-2 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Phoenix |\n| Reggie Bullock | 13 | 1 | 1 | 1 | 0-2 | 0% | 0-1 | 0% | 1-2 | 50% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Phoenix |\n| Earl Barron | 3 | 0 | 1 | 0 | 0-1 | 0% | 0-0 | 0% | 0-2 | 0% | 0 | 0 | 0 | 0 | 1 | 1 | N/A | Phoenix |\n| Alex Len | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |\n| Marcus Thornton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Phoenix |" + }, + { + "from": "human", + "value": "Examine the data records in this picture, which depict an NBA game held on April 02, 2015. Use these data statistics to generate a comprehensive summary of the game." + }, + { + "from": "gpt", + "value": "The Golden State Warriors (62-13) narrowly edged out the Phoenix Suns (38-38) on Thursday in a 107-106 thriller at the Oracle Arena. It is n't often that Golden State gets tested at home, but a Phoenix team clinging to slim playoff chances gave Golden State all it could handle Thursday. Phoenix trailed for much of the game, but took an 89-88 lead with 5:33 to go. A back-and-forth battle ensued with both teams trading haymakers. It looked like Golden State was going to escape after Steph Curry swished a three to take a one-point lead with eight seconds to go, but Eric Bledsoe answered with a crafty move at the basket to give Phoenix the lead. Coming out of a timeout, Golden State called on Harrison Barnes, who delivered the winning basket with under a second remaining. The Suns have now lost five games on buzzer beating shots, but this one may have ended their playoff hopes for good. Phoenix desperately needed a win Thursday, having lost four straight coming into its matchup with Golden State. Every starter scored in double-figures, led by Eric Bledsoe with 18 points. Rookie T.J Warren had a big outing with 17 points off the bench. Despite the solid all-around performances, Phoenix could n't hold on as it suffered another gut-wrenching loss. The Suns will return home to host the Jazz on Saturday. Golden State has the Pacific Division and the West 's number one seed locked up, but still played like its season was on the line. The Warriors rallied from a big deficit against the Clippers on Tuesday, and followed it up with another clutch performance. Stephen Curry showed once again why he 's an MVP candidate, canning six three-pointers on his way to scoring 28 points. The Warriors were missing Draymond Green again Thursday, which allowed David Lee to make his second straight start. Lee finished with seven points and six rebounds over 21 minutes. Golden State will start a three-game road trip Saturday in Dallas." + } + ] + }, + { + "id": "table_instructV_multi_round_35715", + "image": "table_instructV/images/TABMWP_15969.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Number of trays | Number of apple fritters |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | ? |" + }, + { + "from": "human", + "value": "Based on the table, solve the following math problem step by step. In the last of your solution, output the final answer as JSON in the format {\"answer\": \"\"}.\nEach tray has 2 apple fritters. How many apple fritters are on 3 trays? (Unit: apple fritters)" + }, + { + "from": "gpt", + "value": "Count by twos. Use the chart: there are 6 apple fritters on 3 trays.\n\nSo, the answer is {\"answer\": \"6\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_35761", + "image": "table_instructV/images/Rotowire_train_table_2791.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Trail Blazers | Portland | 115 | 26 | 26 | 28 | 35 | 27 | 52 | 16 | 42 | 86 | 43 | 16 | 24 | | | | |\n| Thunder | Oklahoma City | 110 | 27 | 19 | 39 | 25 | 23 | 42 | 19 | 49 | 72 | 48 | 26 | 12 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Trail Blazers | | | | | | | | | | | | | | | | | | |\n| Damian Lillard | 37 | 31 | 7 | 9 | 9-18 | 50% | 8-14 | 57% | 5-6 | 83% | 2 | 7 | 0 | 1 | 6 | 4 | G | Portland |\n| CJ McCollum | 36 | 22 | 7 | 6 | 8-23 | 35% | 4-10 | 40% | 2-2 | 100% | 1 | 2 | 0 | 2 | 5 | 1 | G | Portland |\n| Al-Farouq Aminu | 35 | 16 | 4 | 2 | 6-15 | 40% | 2-7 | 29% | 2-3 | 67% | 2 | 0 | 1 | 2 | 2 | 2 | F | Portland |\n| Mason Plumlee | 31 | 11 | 11 | 4 | 5-12 | 42% | 0-0 | 0% | 1-1 | 100% | 0 | 2 | 1 | 6 | 5 | 5 | C | Portland |\n| Allen Crabbe | 22 | 11 | 3 | 1 | 4-8 | 50% | 3-6 | 50% | 0-0 | 0% | 0 | 1 | 0 | 0 | 3 | 5 | N/A | Portland |\n| Ed Davis | 22 | 10 | 9 | 3 | 4-6 | 67% | 0-0 | 0% | 2-2 | 100% | 0 | 0 | 1 | 5 | 4 | 3 | N/A | Portland |\n| Maurice Harkless | 20 | 7 | 4 | 0 | 3-5 | 60% | 1-1 | 100% | 0-0 | 0% | 0 | 1 | 0 | 1 | 3 | 0 | N/A | Portland |\n| Gerald Henderson | 9 | 4 | 0 | 1 | 2-4 | 50% | 0-1 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | N/A | Portland |\n| Meyers Leonard | 13 | 3 | 4 | 0 | 1-6 | 17% | 1-5 | 20% | 0-0 | 0% | 0 | 1 | 0 | 3 | 1 | 3 | N/A | Portland |\n| Noah Vonleh | 14 | 0 | 3 | 1 | 0-3 | 0% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 1 | 0 | 3 | 5 | F | Portland |\n| Tim Frazier | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Chris Kaman | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Pat Connaughton | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Portland |\n| Thunder | | | | | | | | | | | | | | | | | | |\n| Kevin Durant | 40 | 28 | 6 | 4 | 10-23 | 44% | 2-6 | 33% | 6-6 | 100% | 1 | 3 | 0 | 1 | 5 | 2 | F | Oklahoma City |\n| Russell Westbrook | 38 | 25 | 9 | 15 | 7-19 | 37% | 2-4 | 50% | 9-11 | 82% | 3 | 4 | 0 | 1 | 8 | 6 | G | Oklahoma City |\n| Steven Adams | 35 | 17 | 10 | 0 | 6-6 | 100% | 0-0 | 0% | 5-9 | 56% | 0 | 2 | 1 | 3 | 7 | 1 | C | Oklahoma City |\n| Serge Ibaka | 36 | 14 | 3 | 0 | 5-7 | 71% | 4-4 | 100% | 0-0 | 0% | 0 | 3 | 2 | 0 | 3 | 2 | F | Oklahoma City |\n| Andre Roberson | 31 | 10 | 8 | 0 | 4-6 | 67% | 1-3 | 33% | 1-1 | 100% | 2 | 2 | 3 | 1 | 7 | 2 | G | Oklahoma City |\n| Dion Waiters | 22 | 6 | 0 | 1 | 2-2 | 100% | 0-0 | 0% | 2-4 | 50% | 0 | 3 | 0 | 0 | 0 | 0 | N/A | Oklahoma City |\n| Cameron Payne | 10 | 5 | 0 | 2 | 2-5 | 40% | 1-2 | 50% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Oklahoma City |\n| Enes Kanter | 13 | 5 | 6 | 0 | 1-3 | 33% | 0-0 | 0% | 3-5 | 60% | 1 | 2 | 0 | 2 | 4 | 1 | N/A | Oklahoma City |\n| Nick Collison | 5 | 0 | 0 | 1 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Oklahoma City |\n| Anthony Morrow | 9 | 0 | 0 | 0 | 0-3 | 0% | 0-2 | 0% | 0-0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | N/A | Oklahoma City |\n| Kyle Singler | 2 | 0 | 0 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 2 | N/A | Oklahoma City |\n| D.J. Augustin | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |\n| Mitch McGary | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Oklahoma City |" + }, + { + "from": "human", + "value": "Analyze the box-score and line-score tables for the NBA game between Trail Blazers and Thunder on 2016-01-10 and use the statistics to create a detailed summary of this game." + }, + { + "from": "gpt", + "value": "The Portland Trail Blazers (16-24) defeated the Oklahoma City Thunder (26-12) 115-110 on Sunday. The Thunder shot the ball more efficiently than the Blazers and looked to rip off a strong run behind the highest scoring duo in Russell Westbrook and Kevin Durant, but the high power offense came up just short, as Damian Lillard drained back-to-back 3-pointers late in the 4th quarter. While Durant was heating up, primarily on strong ball movement lead by Westbrook, the Thunder tried to pull away by double-digits in the 3rd and 4th quarters, but the Blazers simply hung around for long enough to turn the momentum in their favor. Oklahoma City received almost the entirety of their offense from the starters, as the bench provided a lowly 16 points combined from Dion Waiters, Enes Kanter and Cameron Payne. Kevin Durant led the Thunder with 28 points, to go along with six rebounds and four assists, while Russell Westbrook added 25 points, 15 assists (10 dimes in the first half) and nine rebounds. Steven Adams hauled in a double-double, as he contributed 17 points and 10 rebounds, while Serge Ibaka and Andre Roberson finished in double-figures to round out the starting five. Billy Donovan did not rely on his bench and only Dion Waiters eclipsed 20-plus minutes on a reserved role, as the starters all played 30-plus minutes in the contest. The Thunder will continue their road trip when they visit the Minnesota Timberwolves (12-26) on Tuesday. Damian Lillard did not back down from the difficult matchup against Russell Westbrook, and knocked down the game tying and go ahead 3-pointers to earn the comeback win. The Blazers were battling uphill throughout the majority of the game and it came behind sub-40 percent shooting through three quarters of play. The 4th quarter was an entirely different story, and when Lillard gets a hot hand, he can be one of the deadliest deep ball shooters in the league. The all star point guard finished with 31 points on 9-of-18 shooting (8-of-14 from 3-point territory), to go along with seven rebounds and nine assists. C.J. McCollum poured in 22 points to aid the scoring, adding four 3-pointers of his own. Mason Plumlee pitched in 11 points and 11 rebounds, while Allen Crabbe and Ed Davis (knee) contributed double figures from the bench. Portland has been one of the bigger surprises this season, after many predicted them to have one of the league’s worst records after the departure of LaMarcus Aldridge, the Blazers improved to 9-9 at home and are approaching 20 wins before the all-star break. The Blazers will host the Utah Jazz (17-20) on Wednesday." + } + ] + }, + { + "id": "table_instructV_multi_round_35855", + "image": "table_instructV/images/Rotowire_train_table_2034.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRecognize the table in the presented picture and represent it in the markdown-format." + }, + { + "from": "gpt", + "value": "| TEAM-NAME | CITY | PTS | PTS_QTR1 | PTS_QTR2 | PTS_QTR3 | PTS_QTR4 | AST | REB | TOV | FG_PCT | FT_PCT | FG3_PCT | WINS | LOSSES | | | | |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Grizzlies | Memphis | 111 | 16 | 30 | 30 | 35 | 24 | 30 | 9 | 51 | 79 | 67 | 8 | 1 | | | | |\n| Kings | Sacramento | 110 | 38 | 24 | 29 | 19 | 12 | 44 | 14 | 48 | 85 | 54 | 5 | 4 | | | | |\n| | | | | | | | | | | | | | | | | | | |\n| PLAYER_NAME | MIN | PTS | REB | AST | FG | FG_PCT | FG3 | FG3_PCT | FT | FT_PCT | STL | TO | BLK | OREB | DREB | PF | START_POSITION | TEAM_CITY |\n| Grizzlies | | | | | | | | | | | | | | | | | | |\n| Mike Conley | 39 | 22 | 1 | 11 | 8-17 | 47% | 1-3 | 33% | 5-6 | 83% | 1 | 1 | 0 | 0 | 1 | 4 | G | Memphis |\n| Marc Gasol | 37 | 20 | 7 | 2 | 5-13 | 39% | 0-0 | 0% | 10-11 | 91% | 2 | 2 | 2 | 3 | 4 | 4 | C | Memphis |\n| Zach Randolph | 34 | 17 | 8 | 2 | 6-13 | 46% | 0-0 | 0% | 5-8 | 63% | 0 | 0 | 0 | 0 | 8 | 3 | F | Memphis |\n| Courtney Lee | 36 | 16 | 1 | 3 | 6-9 | 67% | 1-1 | 100% | 3-3 | 100% | 3 | 1 | 0 | 0 | 1 | 3 | N/A | Memphis |\n| Vince Carter | 17 | 11 | 4 | 2 | 4-5 | 80% | 3-4 | 75% | 0-0 | 0% | 1 | 1 | 1 | 1 | 3 | 0 | N/A | Memphis |\n| Kosta Koufos | 11 | 8 | 1 | 0 | 3-4 | 75% | 0-0 | 0% | 2-2 | 100% | 0 | 1 | 1 | 0 | 1 | 3 | N/A | Memphis |\n| Jon Leuer | 14 | 8 | 3 | 0 | 3-4 | 75% | 0-0 | 0% | 2-4 | 50% | 0 | 1 | 0 | 1 | 2 | 2 | N/A | Memphis |\n| Beno Udrih | 9 | 4 | 1 | 0 | 2-3 | 67% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 1 | 3 | N/A | Memphis |\n| Quincy Pondexter | 8 | 3 | 0 | 1 | 1-2 | 50% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Memphis |\n| Tayshaun Prince | 11 | 2 | 0 | 1 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | F | Memphis |\n| Tony Allen | 24 | 0 | 4 | 2 | 0-5 | 0% | 0-0 | 0% | 0-0 | 0% | 2 | 1 | 0 | 3 | 1 | 3 | G | Memphis |\n| Jordan Adams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Jarnell Stokes | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Memphis |\n| Kings | | | | | | | | | | | | | | | | | | |\n| Rudy Gay | 40 | 25 | 7 | 2 | 8-17 | 47% | 1-2 | 50% | 8-8 | 100% | 1 | 0 | 1 | 3 | 4 | 3 | F | Sacramento |\n| DeMarcus Cousins | 31 | 22 | 12 | 1 | 8-17 | 47% | 0-0 | 0% | 6-7 | 86% | 2 | 6 | 3 | 2 | 10 | 5 | C | Sacramento |\n| Darren Collison | 37 | 20 | 2 | 5 | 6-11 | 55% | 2-3 | 67% | 6-7 | 86% | 1 | 3 | 1 | 0 | 2 | 2 | G | Sacramento |\n| Ben McLemore | 37 | 17 | 4 | 0 | 6-12 | 50% | 3-6 | 50% | 2-4 | 50% | 0 | 1 | 0 | 0 | 4 | 1 | G | Sacramento |\n| Carl Landry | 25 | 10 | 4 | 0 | 3-7 | 43% | 0-0 | 0% | 4-4 | 100% | 0 | 0 | 0 | 2 | 2 | 6 | N/A | Sacramento |\n| Jason Thompson | 27 | 6 | 7 | 1 | 3-5 | 60% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 3 | 4 | 5 | F | Sacramento |\n| Ramon Sessions | 11 | 5 | 1 | 2 | 1-3 | 33% | 0-1 | 0% | 3-4 | 75% | 0 | 1 | 0 | 1 | 0 | 0 | N/A | Sacramento |\n| Nik Stauskas | 11 | 3 | 1 | 1 | 1-2 | 50% | 1-1 | 100% | 0-0 | 0% | 0 | 0 | 0 | 0 | 1 | 0 | N/A | Sacramento |\n| Reggie Evans | 13 | 2 | 4 | 0 | 1-2 | 50% | 0-0 | 0% | 0-0 | 0% | 1 | 1 | 0 | 2 | 2 | 3 | N/A | Sacramento |\n| Omri Casspi | 8 | 0 | 2 | 0 | 0-1 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 1 | 0 | 0 | 2 | 1 | N/A | Sacramento |\n| Ryan Hollins | 0 | 0 | 0 | 0 | 0-0 | 0% | 0-0 | 0% | 0-0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | N/A | Sacramento |\n| Ray McCallum | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |\n| Derrick Williams | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | Sacramento |" + }, + { + "from": "human", + "value": "With the box-score and line-score data from the NBA game between Grizzlies and Kings on November 13, 2014, please construct a detailed summary that reflects the game's performance and pivotal moments." + }, + { + "from": "gpt", + "value": "The Memphis Grizzlies (8-1) erased a 26-point deficit to knock off the Sacramento Kings (5-4) 111-110 on Thursday night at the FedExForum in Memphis. The Grizzlies were down big early in this one, but made a massive fourth quarter comeback, which was complete with a tip-in alley-oop by Courtney Lee with just 0 seconds left. Memphis started out slowly at home in this one, but finally got it going late, and they were led by an impressive double-double from Mike Conley, who had 22 points (8-17 FG, 1-3 3Pt, 5-6 FT), 11 assists, one rebound and one steal. The bench production was big for the Grizzlies, and they can not only thank Lee for the tip-in game winner, but also for his 16 points (6-9 FG, 1-1 3Pt, 3-3 FT), three assists, three steals and one rebound in 36 minutes. Memphis now gets a night off before taking on the Detroit Pistons at home Saturday. For the Kings, it was just a painful loss in a game that looked to be a blowout early on. Sacramento got solid production from four of their five starters, and DeMarcus Cousins posted yet another double-double, with 22 points (8-17 FG, 6-7 FT) and 12 rebounds. Rudy Gay led the team in scoring Thursday, and posted 25 points (8-17 FG, 1-2 3Pt, 8-8 FT), with seven rebounds, two assists, one steal and one block. The Kings were off to a hot start at the beginning of the season, but have lost three straight now, and will look to turn things around when they head back home to take on the San Antonio Spurs on Saturday night." + } + ] + }, + { + "id": "table_instructV_multi_round_35958", + "image": "table_instructV/images/ToTTo_train_table_6330.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Rank | Name | Image | Height ft (m) | Floors | Year | Coordinates | Notes |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | Industrial National Bank Building | - | 428 (130) | 26 | 1928 | 41°49′28.27″N 71°24′39.89″W / 41.8245194°N 71.4110806°W | Has been the tallest building in the city and the state for over 90 years Built as the Industrial Trust Tower Now is vacant Previously known as Bank of America Building, also Fleet Bank Tower |\n| 2 | One Financial Plaza | Onefinancialcenter.JPG | 410 (125) | 30 | 1973 | 41°49′31.11″N 71°24′36.14″W / 41.8253083°N 71.4100389°W | Built as the Hospital Trust Tower Also known as Sovereign Bank Tower |\n| 3 | The Residences Providence | Residences Westin Providence.JPG | 380 (115) | 31 | 2007 | 41°49′30.32″N 71°24′54.77″W / 41.8250889°N 71.4152139°W | |\n| 4 | Omni Providence Hotel | WestinProv.JPG | 329 (100) | 25 | 1993 | 41°49′31.15″N 71°24′58.5″W / 41.8253194°N 71.416250°W | Became the tallest hotel in Providence upon its completion, surpassing the Providence Biltmore |\n| 5 | Textron Tower | Textrontower.JPG | 311 (95) | 23 | 1971-72 | 41°49′29.63″N 71°24′33.05″W / 41.8248972°N 71.4091806°W | Built as Old Stone Tower |\n| 6 | 50 Kennedy Plaza | 50 kennedy plaza.JPG | 285 (87) | 20 | 1985 | 41°49′29.8″N 71°24′38.09″W / 41.824944°N 71.4105806°W | |\n| 7 | Blue Cross & Blue Shield of Rhode Island Headquarters | - | 236 (72) | 14 | 2009 | 41°49′40.31″N 71°24′47.98″W / 41.8278639°N 71.4133278°W | |\n| 8 | Waterplace 1 | - | 236 (72) | 19 | 2008 | 41°49′38.36″N 71°24′45.91″W / 41.8273222°N 71.4127528°W | Tallest residential building in the city |\n| 9 | Rhode Island State House | - | 223 (68) | 4 | 1904 | 41°49′51.08″N 71°24′53.87″W / 41.8308556°N 71.4149639°W | |\n| 10 | Biltmore Hotel | - | 220 (67) | 18 | 1922 | 41°49′27.73″N 71°24′48.4″W / 41.8243694°N 71.413444°W | Tallest hotel in the city from 1922 until the completion of the Westin Providence in 1993 |\n| 11 | Providence County Courthouse | - | 217 (66) | 7 | 1930 | 41°49′31.76″N 71°24′24.84″W / 41.8254889°N 71.4069000°W | |\n| 12 | Turk's Head Building | - | 217 (66) | 16 | 1913 | 41°49′28.42″N 71°24′35.5″W / 41.8245611°N 71.409861°W | |\n| 13 | Waterplace 2 | - | 210 (64) | 17 | 2008 | 41°49′38.22″N 71°24′48.05″W / 41.8272833°N 71.4133472°W | |\n| 14= | The Carrol Towers | - | 199 (60) | 16 | 1973 | 41°49′38.22″N 71°24′48.05″W / 41.8272833°N 71.4133472°W | |\n| 14= | Parenti Villa | - | 199 (60) | 16 | 1973 | 41°49′38.22″N 71°24′48.05″W / 41.8272833°N 71.4133472°W | Twin tower of Carrol Tower. |\n| 16 | Charles Gate North | - | 187 | 15 | 1970 | 41°49′38.22″N 71°24′48.05″W / 41.8272833°N 71.4133472°W | |\n| 17= | One Citizens Plaza | - | 180 (55) | 13 | 1990 | 41°49′38.78″N 71°24′38.42″W / 41.8274389°N 71.4106722°W | |\n| 17= | Brown University Sciences Library | BrownScienceLibrary1.JPG | 180 (55) | 15 | 1971 | 41°49′36.85″N 71°24′0.49″W / 41.8269028°N 71.4001361°W | With its former antenna mast included, the building reached a total height of 395 feet (120 m), more than doubling its effective height and making it the third-tallest building in the city when measuring by pinnacle height. |\n| 19 | Hospital Trust Building | - | 177 (54) | 13 | 1920 | 41°49′32.38″N 71°24′34.83″W / 41.8256611°N 71.4096750°W | Also known as the Fleet Building |\n| 20 | Sister Dominica Manor | SisterDominicaManorProvidence.JPG | 175 (53) | 16 | 1966 | 41°49′21.84″N 71°25′16.69″W / 41.8227333°N 71.4213028°W | Built as the Bradford House Also known as Federal Hill Manor |" + }, + { + "from": "human", + "value": "Presented is a Wikipedia table named 'List of tallest buildings in Providence, Rhode Island', which is extracted from a section heading 'Tallest buildings'.\nAs you can see, some table cells are highlighted with a different color. Please generate a one-sentence summary of these cells." + }, + { + "from": "gpt", + "value": "At 311 ft (95 m), Textron Tower stands as the 5th-tallest building in Providence, Rhode Island." + } + ] + }, + { + "id": "table_instructV_multi_round_35970", + "image": "table_instructV/images/TABMWP_8752.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $520 | 18,900 | 1,800 |\n| $530 | 15,300 | 3,400 |\n| $540 | 11,700 | 5,000 |\n| $550 | 8,100 | 6,600 |\n| $560 | 4,500 | 8,200 |" + }, + { + "from": "human", + "value": "Show the detailed solution to answer the following question. Provide a concluding answer in a JSON structure, using the format {\"answer\": \"\"}.\nQuestion: Look at the table. Then answer the question. At a price of $540, is there a shortage or a surplus? (A) shortage (B) surplus" + }, + { + "from": "gpt", + "value": "At the price of $540, the quantity demanded is greater than the quantity supplied. There is not enough of the good or service for sale at that price. So, there is a shortage.\n\n\nSo, the answer is {\"answer\": \"shortage\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_36018", + "image": "table_instructV/images/ToTTo_train_table_21153.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Ranking | Name | Years | League | Total | Ref |\n| --- | --- | --- | --- | --- | --- |\n| 1 | Portugal Nené | 1968–1986 | 422 | 575 | |\n| 2 | Portugal Veloso | 1980–1995 | 379 | 538 | |\n| 3 | Portugal Luisão | 2003–2018 | 337 | 538 | |\n| 4 | Portugal Mário Coluna | 1954–1970 | 364 | 518 | |\n| 5 | Portugal Humberto Coelho | 1968–1975; 1977–1984 | 355 | 498 | |\n| 6 | Portugal Shéu | 1972–1989 | 349 | 487 | |\n| 7 | Portugal Manuel Bento | 1972–1990 | 329 | 465 | |" + }, + { + "from": "human", + "value": "Help me finish a table-to-text task. You need to produce a one-sentence description of the highlighted table cells according to the provided table and its related information.\nTable title: List of S.L. Benfica records and statistics\nSection title: Most appearances" + }, + { + "from": "gpt", + "value": "Nené had most league appearances with 422." + } + ] + }, + { + "id": "table_instructV_multi_round_36030", + "image": "table_instructV/images/TABMWP_3228.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Number of drawers | Number of pairs of jeans |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | ? |" + }, + { + "from": "human", + "value": "View the table, then figure out the solution to this math problem. At the end of your output, present the final answer as JSON in the format {\"answer\": \"\"}.\nProblem: Each drawer in the dresser has 2 pairs of jeans. How many pairs of jeans are in 4 drawers? (Unit: pairs of jeans)\nYour solution:" + }, + { + "from": "gpt", + "value": "Count by twos. Use the chart: there are 8 pairs of jeans in 4 drawers.\n\nSo, the answer is {\"answer\": \"8\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_36065", + "image": "table_instructV/images/TABMWP_31965.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| | One prize | Two prizes |\n| --- | --- | --- |\n| Mini size | 5 | 2 |\n| Regular size | 4 | 3 |" + }, + { + "from": "human", + "value": "View the table, then figure out the solution to this math problem. Finally, your final answer should be in the JSON format of {\"answer\": \"\"}.\nProblem: Eric counted the boxes of cereal in a grocery store with different sizes and numbers of prizes. What is the probability that a randomly selected box of cereal is mini size and contains two prizes? Simplify any fractions.\nYour solution:" + }, + { + "from": "gpt", + "value": "Let A be the event \"the box of cereal is mini size\" and B be the event \"the box of cereal contains two prizes\".\nTo find the probability that a box of cereal is mini size and contains two prizes, first identify the sample space and the event.\nThe outcomes in the sample space are the different boxes of cereal. Each box of cereal is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the box of cereal is mini size and contains two prizes\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the box of cereal is mini size and contains two prizes\", so look at the table to see how many boxes of cereal are mini size and contain two prizes.\nThe number of boxes of cereal that are mini size and contain two prizes is 2.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of boxes of cereal.\n5 + 4 + 2 + 3 = 14\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{2}{14}\n = \\frac{1}{7}\nThe probability that a box of cereal is mini size and contains two prizes is \\frac{1}{7}.\n\nThus, the final answer is {\"answer\": \"1/7\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_36156", + "image": "table_instructV/images/ToTTo_train_table_14612.jpg", + "conversations": [ + { + "from": "human", + "value": "Please review this table image and return a text representation of the table in the markdown format.\n" + }, + { + "from": "gpt", + "value": "| Election year | Leader | No. of constituency votes | No. of party list votes | % of party list votes | No. of overall seats won | +/– | Government |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1949 | Konrad Adenauer | | 5,978,636 | 25.2 | 115 / 402 | | CDU/CSU–FDP–DP |\n| 1953 | Konrad Adenauer | 9,577,659 | 10,016,594 | 36.4 | 197 / 509 | 82 | CDU/CSU–FDP–DP |\n| 1957 | Konrad Adenauer | 11,975,400 | 11,875,339 | 39.7 | 222 / 519 | 25 | CDU/CSU–DP |\n| 1961 | Konrad Adenauer | 11,622,995 | 11,283,901 | 35.8 | 201 / 521 | 21 | CDU/CSU–FDP |\n| 1965 | Konrad Adenauer | 12,631,319 | 12,387,562 | 38.0 | 202 / 518 | 1 | CDU/CSU–SPD |\n| 1969 | Kurt Georg Kiesinger | 12,137,148 | 12,079,535 | 36.6 | 201 / 518 | 1 | Opposition |\n| 1972 | Rainer Barzel | 13,304,813 | 13,190,837 | 35.2 | 186 / 518 | 15 | Opposition |\n| 1976 | Helmut Kohl | 14,423,157 | 14,367,302 | 38.0 | 201 / 518 | 15 | Opposition |\n| 1980 | Helmut Kohl | 13,467,207 | 12,989,200 | 34.2 | 185 / 519 | 16 | Opposition |\n| 1983 | Helmut Kohl | 15,943,460 | 14,857,680 | 38.1 | 202 / 520 | 17 | CDU/CSU–FDP |\n| 1987 | Helmut Kohl | 14,168,527 | 13,045,745 | 34.4 | 185 / 519 | 17 | CDU/CSU–FDP |\n| 1990 | Helmut Kohl | 17,707,574 | 17,055,116 | 36.7 | 268 / 662 | 83 | CDU/CSU–FDP |\n| 1994 | Helmut Kohl | 17,473,325 | 16,089,960 | 34.2 | 244 / 672 | 24 | CDU/CSU–FDP |\n| 1998 | Helmut Kohl | 15,854,215 | 14,004,908 | 28.4 | 198 / 669 | 46 | Opposition |\n| 2002 | Angela Merkel | 15,336,512 | 14,167,561 | 29.5 | 190 / 603 | 8 | Opposition |\n| 2005 | Angela Merkel | 15,390,950 | 13,136,740 | 27.8 | 180 / 614 | 10 | CDU/CSU–SPD |\n| 2009 | Angela Merkel | 13,856,674 | 11,828,277 | 27.3 | 194 / 622 | 14 | CDU/CSU–FDP |\n| 2013 | Angela Merkel | 16,233,642 | 14,921,877 | 34.1 | 254 / 630 | 61 | CDU/CSU–SPD |\n| 2017 | Angela Merkel | 14,027,804 | 12,445,832 | 26.8 | 200 / 709 | 54 | CDU/CSU–SPD |" + }, + { + "from": "human", + "value": "Generate a one-sentence summary about the highlighted table cells based on the following Wikipedia table and its metadata. \nTable title: Christian Democratic Union of Germany\nSection title: Federal Parliament (Bundestag)\n" + }, + { + "from": "gpt", + "value": "In 2002, CDU polled 29.5%." + } + ] + }, + { + "id": "table_instructV_multi_round_36161", + "image": "table_instructV/images/ToTTo_train_table_14170.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| Year | Serial | Role | Channel |\n| --- | --- | --- | --- |\n| 1999-2000 | Chithi | Baby Kaveri | Sun TV |\n| 2004–2006 | Manaivi | Viji | Sun TV |\n| 2006–2009 | Kana Kaanum Kaalangal | Raghavi | STAR Vijay |\n| 2007-2011 | Magal | Janani | Sun TV |\n| 2009 | Jodi Number One | Herself | STAR Vijay |\n| 2009–2010 | Anbe Vaa | Angel | STAR Vijay |\n| 2009–2015 | Thendral | Deepa | Sun TV |\n| 2010-2015 | Mudhanai Mudichu | Vedhavalli | Sun TV |" + }, + { + "from": "human", + "value": "Examine the following Wikipedia table, which is titled 'Hemalatha' and its section is titled 'Television'. \nSome important table cells are highlighted with a different background color. Please create a single sentence that summarizes the highlighted table cells." + }, + { + "from": "gpt", + "value": "Hemalatha played as Raghavi in Kana Kaanum Kaalangal on STAR Vijay, and as Deepa in Thendral on Sun TV." + } + ] + }, + { + "id": "table_instructV_multi_round_36322", + "image": "table_instructV/images/ToTTo_train_table_3717.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| # | Lt. Governor | Term Began | Term Ended | Governor(s) served under | Party |\n| --- | --- | --- | --- | --- | --- |\n| 1 | Othman A. Abbott | 1877 | 1879 | Silas Garber | Republican |\n| 2 | Edmund C. Carns | 1879 | 1883 | Albinus Nance | Republican |\n| 3 | Alfred W. Agee | 1883 | 1885 | James W. Dawes | Republican |\n| 4 | Hibbard H. Shedd | 1885 | 1889 | James W. Dawes John Milton Thayer | Republican |\n| 5 | George D. Meiklejohn | 1889 | 1891 | John Milton Thayer | Republican |\n| 6 | Thomas J. Majors | 1891 | 1895 | John Milton Thayer (Republican) James E. Boyd (Democratic) Lorenzo Crounse (Republican) | Republican |\n| 7 | Robert E. Moore | 1895 | 1897 | Silas A. Holcomb | Fusion (Democrat/Populist) |\n| 8 | James E. Harris | 1897 | 1899 | Silas A. Holcomb | Fusion (Democrat/Populist) |\n| 9 | Edward A. Gilbert | 1899 | 1901 | William A. Poynter | Republican |\n| 10 | Ezra P. Savage | 1901 | 1901 | Charles H. Dietrich | Republican |\n| 11 | Edmund G. McGilton | 1903 | 1907 | John H. Mickey | Republican |\n| 12 | Melville R. Hopewell | 1907 | May 2, 1911 (died) | George L. Sheldon (Republican) Ashton C. Shallenberger (Democratic) | Republican |\n| 13 | Samuel R. McKelvie | 1913 | 1915 | John H. Morehead | Republican |\n| 14 | James Pearson | 1915 | 1917 | John H. Morehead | Democrat |\n| 15 | Edgar Howard | 1917 | 1919 | Keith Neville | Democrat |\n| 16 | Pelham A. Barrows | 1919 | 1923 | Samuel R. McKelvie | Republican |\n| 17 | Fred G. Johnson | 1923 | 1925 | Charles W. Bryan | Republican |\n| 18 | George A. Williams | 1925 | 1931 | Adam McMullen Arthur J. Weaver | Republican |\n| 19 | Theodore W. Metcalfe | 1931 | 1933 | Charles W. Bryan | Republican |\n| 20 | Walter H. Jurgensen | 1933 | 1938 | Charles W. Bryan Robert Leroy Cochran | Democrat |\n| 21 | Nate M. Parsons | November 8, 1938 | 1939 | Robert Leroy Cochran | Democrat |\n| 22 | William E. Johnson | 1939 | 1943 | Robert Leroy Cochran (Democratic) Dwight Griswold (Republican) | Republican |\n| 23 | Roy W. Johnson | 1943 | 1947 | Dwight Griswold | Republican |\n| 24 | Robert B. Crosby | 1947 | 1949 | Val Peterson | Republican |\n| 25 | Charles J. Warner | 1949 | September 24, 1955 (died) | Val Peterson Robert B. Crosby Victor E. Anderson | Republican |\n| 26 | Dwight W. Burney | 1957 | 1965 | Ralph G. Brooks Dwight W. Burney Frank B. Morrison | Republican |\n| 27 | Philip C. Sorensen | 1965 | 1967 | Frank B. Morrison | Democrat |\n| 28 | John E. Everroad | 1967 | 1971 | Norbert T. Tiemann | Republican |\n| 29 | Frank Marsh | 1971 | 1975 | J. James Exon | Republican |\n| 30 | Gerald T. Whelan | 1975 | 1979 | J. James Exon | Democrat |\n| 31 | Roland A. Luedtke | 1979 | 1983 | Charles Thone | Republican |\n| 32 | Donald F. McGinley | 1983 | 1987 | J. Robert Kerrey | Democrat |\n| 33 | William E. Nichol | 1987 | 1991 | Kay A. Orr | Republican |\n| 34 | Maxine B. Moul | 1991 | 1993 (resigned) | Ben Nelson | Democrat |\n| 35 | Kim M. Robak | 1993 (appointed) | 1999 | Ben Nelson | Democrat |\n| 36 | David I. Maurstad | 1999 | 2001 (resigned) | Mike Johanns | Republican |\n| 37 | David Heineman | 2001 (appointed) | 2005 (became governor) | Mike Johanns | Republican |\n| 38 | Rick Sheehy | 2005 (appointed) | 2013 (resigned) | David Heineman | Republican |\n| 39 | Lavon Heidemann | 2013 (appointed) | 2014 (resigned) | David Heineman | Republican |\n| 40 | John E. Nelson | 2014 (appointed) | 2015 | David Heineman | Republican |\n| 41 | Mike Foley | 2015 | Incumbent | Pete Ricketts | Republican |" + }, + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the HTML-format. Only preserve the basic table structure and content." + }, + { + "from": "gpt", + "value": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
# Lt. Governor Term Began Term Ended Governor(s) served under Party
1 Othman A. Abbott 1877 1879 Silas Garber Republican
2 Edmund C. Carns 1879 1883 Albinus Nance Republican
3 Alfred W. Agee 1883 1885 James W. Dawes Republican
4 Hibbard H. Shedd 1885 1889 James W. Dawes John Milton Thayer Republican
5 George D. Meiklejohn 1889 1891 John Milton Thayer Republican
6 Thomas J. Majors 1891 1895 John Milton Thayer (Republican) James E. Boyd (Democratic) Lorenzo Crounse (Republican) Republican
7 Robert E. Moore 1895 1897 Silas A. Holcomb Fusion (Democrat/Populist)
8 James E. Harris 1897 1899 Silas A. Holcomb Fusion (Democrat/Populist)
9 Edward A. Gilbert 1899 1901 William A. Poynter Republican
10 Ezra P. Savage 1901 1901 Charles H. Dietrich Republican
11 Edmund G. McGilton 1903 1907 John H. Mickey Republican
12 Melville R. Hopewell 1907 May 2, 1911 (died) George L. Sheldon (Republican) Ashton C. Shallenberger (Democratic) Republican
13 Samuel R. McKelvie 1913 1915 John H. Morehead Republican
14 James Pearson 1915 1917 John H. Morehead Democrat
15 Edgar Howard 1917 1919 Keith Neville Democrat
16 Pelham A. Barrows 1919 1923 Samuel R. McKelvie Republican
17 Fred G. Johnson 1923 1925 Charles W. Bryan Republican
18 George A. Williams 1925 1931 Adam McMullen Arthur J. Weaver Republican
19 Theodore W. Metcalfe 1931 1933 Charles W. Bryan Republican
20 Walter H. Jurgensen 1933 1938 Charles W. Bryan Robert Leroy Cochran Democrat
21 Nate M. Parsons November 8, 1938 1939 Robert Leroy Cochran Democrat
22 William E. Johnson 1939 1943 Robert Leroy Cochran (Democratic) Dwight Griswold (Republican) Republican
23 Roy W. Johnson 1943 1947 Dwight Griswold Republican
24 Robert B. Crosby 1947 1949 Val Peterson Republican
25 Charles J. Warner 1949 September 24, 1955 (died) Val Peterson Robert B. Crosby Victor E. Anderson Republican
26 Dwight W. Burney 1957 1965 Ralph G. Brooks Dwight W. Burney Frank B. Morrison Republican
27 Philip C. Sorensen 1965 1967 Frank B. Morrison Democrat
28 John E. Everroad 1967 1971 Norbert T. Tiemann Republican
29 Frank Marsh 1971 1975 J. James Exon Republican
30 Gerald T. Whelan 1975 1979 J. James Exon Democrat
31 Roland A. Luedtke 1979 1983 Charles Thone Republican
32 Donald F. McGinley 1983 1987 J. Robert Kerrey Democrat
33 William E. Nichol 1987 1991 Kay A. Orr Republican
34 Maxine B. Moul 1991 1993 (resigned) Ben Nelson Democrat
35 Kim M. Robak 1993 (appointed) 1999 Ben Nelson Democrat
36 David I. Maurstad 1999 2001 (resigned) Mike Johanns Republican
37 David Heineman 2001 (appointed) 2005 (became governor) Mike Johanns Republican
38 Rick Sheehy 2005 (appointed) 2013 (resigned) David Heineman Republican
39 Lavon Heidemann 2013 (appointed) 2014 (resigned) David Heineman Republican
40 John E. Nelson 2014 (appointed) 2015 David Heineman Republican
41 Mike Foley 2015 Incumbent Pete Ricketts Republican
" + }, + { + "from": "human", + "value": "Give you a Wikipedia table titled 'List of Lieutenant Governors of Nebraska'. Its section title is 'List'. Table-related text is: Parties Fusion (Democratic/Populist) (2) Democratic (8) Republican (30)\nBased on the table and above metadata, generate a one-sentence description about highlighted table cells." + }, + { + "from": "gpt", + "value": "In 1917 Howard was elected as Nebraska's Lieutenant Governor, serving until 1919." + } + ] + }, + { + "id": "table_instructV_multi_round_36329", + "image": "table_instructV/images/ToTTo_train_table_31764.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Year | Film | Role | Notes |\n| --- | --- | --- | --- |\n| 1982 | Saath Saath | | |\n| 1982 | Aadat Se Majboor | | |\n| 1982 | Gandhi | as Abha | |\n| 1982 | Yeh Nazdeekiyan | | |\n| 1982 | Jaipur Junction | | |\n| 1982 | Aadharshila | | |\n| 1983 | Jaane Bhi Do Yaaron | as Priya | |\n| 1983 | Mandi | as Vasanti | |\n| 1984 | Utsav | as Madanika | |\n| 1984 | Laila | as Salma | |\n| 1985 | Agnidaah | as Sunita | |\n| 1985 | Trikaal | as Milagrenia | |\n| 1987 | Taniya | | |\n| 1987 | Susman | as Mandira | |\n| 1988 | Rihaee | as Sukhi | |\n| 1988 | The Deceivers | as Gopal's Wife | |\n| 1989 | Batwara | | |\n| 1990 | Kaarnama | as Vyjayanti | |\n| 1990 | Swarg | as Naina | |\n| 1990 | Drishti | as Revati | |\n| 1991 | Vasthuhara | as Damayanthi | Malayalam film |\n| 1991 | Aadhi Mimansa | | |\n| 1992 | Aham | | Malayalam film |\n| 1992 | Zulm Ki Hukumat | as Yeshwant's wife | |\n| 1992 | Balwaan | | |\n| 1992 | The Seventh Horse of the Sun | Satti | |\n| 1992 | Yalgaar | as Kaushalya Kumar | |\n| 1992 | Angaar | Majid's Wife | (uncredited) |\n| 1992 | Kal Ki Awaz | Mrs. Fahmida Nooruddin Ahmed | |\n| 1993 | Khalnayak | Champa Didi | |\n| 1993 | Suraj Ka Satvan Ghoda | | |\n| 1993 | Veerta | as Uma | |\n| 1993 | Phir Teri Kahani Yaad Aayee | as Street Singer | (in song \"Shayarana Si Hai Zindagi\") |\n| 1993 | Bhagavad Gita (film) | as Drupadi | National Film Award for Best Feature Film |\n| 1993 | Aankhen | Chief minister's wife | (uncredited) |\n| 1994 | Woh Chokri | | National Film Award for Best Supporting Actress |\n| 1994 | Jazbaat | | |\n| 1994 | Eena Meena Deeka | | |\n| 1994 | Sone Ki Sita | | |\n| 1994 | Anth | Mrs. Vikas Saxena | |\n| 1994 | In Custody | as Sarla | |\n| 1995 | Nazar | | |\n| 1995 | Dushmani: A Violent Love Story | | |\n| 1997 | Uff! Yeh Mohabbat | as Billo | |\n| 1997 | Jeeo Shaan Se | | |\n| 1999 | Cotton Mary | Blossom (Mary's sister) | |\n| 2002 | Raat Ke Saudagar | | |\n| 2004 | Meri Biwi Ka Jawab Nahin | as Savitri | |\n| 2005 | Nazar | as Jogan | |\n| 2009 | Teree Sang | as Paaki M. Puri | |\n| 2009 | The White Elephant | | |\n| 2010 | Veer | Mangla | |\n| 2010 | Hello Zindagi | | |\n| 2010 | Na Ghar Ke Na Ghaat Ke | Mrs. S. Tripathi | |\n| 2010 | Chhevan Dariya (The Sixth River) | Gurjeet Kaur | |\n| 2012 | Mere Dost Picture Abhi Baaki Hai | as Mymmyji | |\n| 2013 | Issaq | as Amma | |\n| 2015 | Alone | as Sanjana's Mother | |\n| 2015 | The Threshold | Rinku | |\n| 2018 | Veere Di Wedding | Mrs. Sharma | |\n| 2018 | Mulk | Tabassum | |\n| 2018 | Badhaai Ho | Priyamvada Kaushik | Filmfare Critics Award for Best Actress Nominated –Filmfare Award for Best Actress |\n| 2020 | Panga | | Filming |" + }, + { + "from": "human", + "value": "Help me finish a table-to-text task. You need to produce a one-sentence description of the highlighted table cells according to the provided table and its related information.\nTable title: Neena Gupta\nSection title: Filmography" + }, + { + "from": "gpt", + "value": "Neena Gupta won the National Film Award for Best Supporting Actress for her work in Woh Chokri (1994)." + } + ] + }, + { + "id": "table_instructV_multi_round_36343", + "image": "table_instructV/images/TabFact_1-1342198-36.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nWatch this table and show a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| district | incumbent | party | first elected | result | candidates |\n| --- | --- | --- | --- | --- | --- |\n| oklahoma 1 | dixie gilmer | democratic | 1948 | lost re - election republican gain | george b schwabe (r) 52.9% dixie gilmer (d) 47.1% |\n| oklahoma 2 | william g stigler | democratic | 1944 | re - elected | william g stigler (d) 66.2% cleo crain (r) 33.8% |\n| oklahoma 3 | carl albert | democratic | 1946 | re - elected | carl albert (d) 82.8% charles powell (r) 17.2% |\n| oklahoma 4 | tom steed | democratic | 1948 | re - elected | tom steed (d) 68.1% glenn o young (r) 31.9% |\n| oklahoma 5 | a s mike monroney | democratic | 1938 | retired to run for u s senate democratic hold | john jarman (d) 58.8% c e barnes (r) 41.2% |\n| oklahoma 6 | toby morris | democratic | 1946 | re - elected | toby morris (d) 67.1% george campbell (r) 32.9% |" + }, + { + "from": "human", + "value": "Using the information in the table image about 'united states house of representatives elections , 1950', determine whether the next claim is upheld or challenged by the table. Output the final answer as JSON in the format {\"answer\": \"\"}.\n\nincumbent tom steed was re - elected after first being elected in 1948" + }, + { + "from": "gpt", + "value": "Based on the table information, the claim is true. Thus, the answer is {\"answer\": \"upheld\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_36376", + "image": "table_instructV/images/ToTTo_train_table_7042.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| Province or territory | GDP (Billions USD) | GDP per capita USD |\n| --- | --- | --- |\n| Punjab, Pakistan | 173.51 | 1,577 |\n| Sindh | 83.71 | 1,748 |\n| Khyber Pakhtunkhwa | 27.39 | 771 |\n| Balochistan | 9.13 | 740 |\n| Azad Kashmir | 7.00 | 1,730 |\n| Gilgit-Baltistan | 4.60 | 1,550 |\n| Islamabad | 3.04 | 2,996 |" + }, + { + "from": "human", + "value": "Presented is a Wikipedia table named 'List of Pakistani provinces by gross domestic product', accompanied by a section heading 'Provinces by GDP (nominal)' and further explanatory text: 'Figures are derived from statistics in 2017'\nWith reference to the table and related metadata, produce a sentence that encapsulates the information of the highlighted cells." + }, + { + "from": "gpt", + "value": "Sindh has the second largest economy in Pakistan." + } + ] + }, + { + "id": "table_instructV_multi_round_36525", + "image": "table_instructV/images/TABMWP_29439.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease review this table image and return a text representation of the table in the markdown format." + }, + { + "from": "gpt", + "value": "| x | y |\n| --- | --- |\n| 8 | 16 |\n| 9 | 15 |\n| 10 | 14 |" + }, + { + "from": "human", + "value": "According to the table, solve this problem and give detail solutions. At the end of your output, present the final answer as JSON in the format {\"answer\": \"\"}.\n\nThe table shows a function. Is the function linear or nonlinear? (A) linear (B) nonlinear" + }, + { + "from": "gpt", + "value": "To determine whether the function is linear or nonlinear, see whether it has a constant rate of change.\nPick the points in any two rows of the table and calculate the rate of change between them. The first two rows are a good place to start.\nCall the values in the first row x1 and y1. Call the values in the second row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{15 - 16}{9 - 8}\n = \\frac{-1}{1}\n = -1\nNow pick any other two rows and calculate the rate of change between them.\nCall the values in the first row x1 and y1. Call the values in the third row x2 and y2.\nRate of change = \\frac{y2 - y1}{x2 - x1}\n = \\frac{14 - 16}{10 - 8}\n = \\frac{-2}{2}\n = -1\nThe two rates of change are the same.\n1.\nThis means the rate of change is the same for each pair of points. So, the function has a constant rate of change.\nThe function is linear.\n\nThus, the final answer is {\"answer\": \"linear\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_36540", + "image": "table_instructV/images/TABMWP_10012.jpg", + "conversations": [ + { + "from": "human", + "value": "\nReconstruct the table in this picture as a markdown-style table in text." + }, + { + "from": "gpt", + "value": "| Option | Change in phone price |\n| --- | --- |\n| Add an upgrade | $60 |\n| Buy a used phone | -$75 |" + }, + { + "from": "human", + "value": "Retrieve the values of cells at the given table positions, indicated by row and column indices. Return each cell value as JSON in the format {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"\"}.\nPositions to check:\nrow 1 and column 2,\nrow 3 and column 1,\nrow 2 and column 2,\nrow 2 and column 1," + }, + { + "from": "gpt", + "value": "The target cell values are as follows:\n{\"row_id\":\"1\", \"column_id\":\"2\", \"cell_value\":\"Change in phone price\"}\n{\"row_id\":\"3\", \"column_id\":\"1\", \"cell_value\":\"Buy a used phone\"}\n{\"row_id\":\"2\", \"column_id\":\"2\", \"cell_value\":\"$60\"}\n{\"row_id\":\"2\", \"column_id\":\"1\", \"cell_value\":\"Add an upgrade\"}" + }, + { + "from": "human", + "value": "Answer the following question based on the table information. Let's think step by step. Format the ultimate answer as a JSON, using the structure {\"answer\": \"\"}.\nKiera is looking at the price of new cell phones online. Her favorite company, OrangeTech, has a special this weekend. Kiera can add an upgrade to a phone for an additional cost, or she can buy a used phone to get a discount. The change in price for each option is shown in the table. Which option results in a greater change in price? (A) adding an upgrade (B) buying a used phone" + }, + { + "from": "gpt", + "value": "To find the option that results in a greater change in price, use absolute value. Absolute value tells you how much the price changes.\nAdd an upgrade: |$60| = $60\nBuy a used phone: |-$75| = $75\nBuying a used phone results in a greater change in price. It reduces the price by $75.\n\nThus, the final answer is {\"answer\": \"buying a used phone\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_36567", + "image": "table_instructV/images/ToTTo_train_table_27870.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease read the table in this image and return a markdown-style reconstructed table in text." + }, + { + "from": "gpt", + "value": "| Name | Year appointed | Location |\n| --- | --- | --- |\n| John George Findlay | 1907 | |\n| Thomas Joynt | 1907 | |\n| Martin Chapman | 1907 | |\n| Joseph Tole | 1907 | |\n| Francis Bell | 1907 | |\n| John Hosking | 1907 | |\n| Saul Solomon | 1907 | |\n| Thomas Walter Stringer | 1907 | |\n| Charles Skerrett | 1907 | |\n| Frederick Baume | 1907 | |\n| John Fraser Macqueen Fraser | 1910 | |\n| Thomas Cotter | 1911 | |\n| John Salmond | 1912 | |\n| Frederick Earl | 1912 | |\n| Alexander Gray | 1912 | |\n| Charles Bruce Morison | 1912 | |\n| John Ranken Reed | 1912 | |\n| Frederick Wilding | 1913 | |\n| Samuel George Raymond | 1913 | |\n| William Cunningham MacGregor | 1915 | |\n| Oliver Samuel | 1919 | |\n| Michael Myers | 1922 | |\n| Henry Hubert Ostler | 1925 | |\n| Arthur Fair | 1925 | |\n| Thomas Wilford | 1929 | |\n| Harold Featherston Johnston | 1930 | |\n| Alfred Charles Hanlon | 1930 | |\n| Alexander Howat Johnstone | 1934 | |\n| John Callan | 1934 | |\n| Henry Havelock Cornish | 1934 | |\n| Claude Weston | 1934 | |\n| Humphrey O'Leary | 1936 | |\n| Philip Brunskill Cooke | 1936 | |\n| Wilfrid Joseph Sim | 1939 | |\n| Herbert Edgar Evans | 1946 | |\n| Rex Mason | 1946 | |\n| John O'Shea | 1946 | |\n| Ossie Mazengarb | 1947 | |\n| Alfred Kingsley North | 1947 | |\n| Alfred George Neill | 1950 | |\n| Howard Parris Richmond | 1952 | |\n| Leonard Poulter Leary | 1952 | |\n| Alexander Kingcome Turner | 1952 | |\n| Clifton Webb | 1954 | |\n| Vincent Robert Sissons Meredith | 1957 | |\n| Richard Wild | 1957 | |\n| Reginald Hardie Boys | 1958 | |\n| Arthur Lance Tompkins | 1958 | |\n| John Nigel Wilson | 1958 | |\n| Frederick Campbell Spratt | 1961 | |\n| Ronald Davison | 1963 | |\n| Robin Cooke | 1964 | |\n| Charles Pierrepont Hutchinson | 1964 | |\n| Edgar Stirling Bowie | 1965 | |\n| David Stuart Beattie | 1965 | |\n| Muir Fitzherbert Chilwell | 1965 | |\n| John Charles White | 1966 | |\n| Peter Gordon Hillyer | 1967 | |\n| Frank O'Flynn | 1968 | |\n| Lloyd William Brown | 1968 | |\n| Graham Crossley | 1970 | |\n| Laurence Henry Southwick | 1970 | |\n| Richard Christopher Savage | 1970 | |\n| Paul Basil Temm | 1971 | |\n| Peter Mahon | 1971 | |\n| Maurice James O'Brien | 1971 | |\n| Richard Ian Barker | 1973 | |\n| Martyn Finlay | 1973 | |\n| Robert Whaley Edgley | 1973 | |\n| William Stuart Shires | 1973 | |\n| Harold Stewart Lusk | 1973 | |\n| Edward Somers | 1973 | |\n| David Lance Tompkins | 1974 | |\n| John Wallace | 1974 | |\n| Brinsley Donald Inglis | 1976 | |\n| Maxwell Helier Vautier | 1976 | |\n| Brian McClelland | 1976 | |\n| Robert Alexander Adams-Smith | 1978 | |\n| Rodney Gerald Gallen | 1978 | |\n| Thomas Eichelbaum | 1978 | |\n| Peter George Spenser Penlington | 1978 | |\n| Robert Phillip Smellie | 1979 | |\n| Colin Maurice Nicholson | 1979 | |\n| John Henry | 1980 | |\n| Daniel Paul Neazor | 1981 | |\n| Robert Alan Houston | 1981 | |\n| Anthony Hearn | 1981 | |\n| Richard John Craddock | 1981 | |\n| Edmund Thomas | 1981 | |\n| Anthony Arthur Travers Ellis | 1981 | |\n| Simon Grant Lockhart | 1982 | |\n| John Edward Shepherd Allen | 1983 | |\n| Peter Maxwell Salmon | 1983 | |\n| Christopher Barrie Atkinson | 1983 | |\n| David Baragwanath | 1983 | |\n| Thomas Gault | 1984 | |\n| Robert Andrew McGechan | 1984 | |\n| Anthony Molloy | 1984 | |\n| Ralph Edwin Wylie | 1985 | |\n| Colin Ross Pidgeon | 1985 | |\n| Graeme Roderick Joyce | 1985 | |\n| Robert Lloyd Fisher | 1985 | |\n| Donald Lindsay Mathieson | 1986 | |\n| John Alexander Lemon Gibson | 1986 | |\n| Michael Anthony Bungay | 1986 | |\n| James Alfred Farmer | 1986 | |\n| Noel Anderson | 1986 | |\n| Alan Lough Hassall | 1987 | |\n| Gerald Stewart Tuohy | 1987 | |\n| Peter Williams | 1987 | |\n| David Arthur Rhodes Williams | 1987 | |\n| Alan Raymand Galbraith | 1987 | |\n| John Joseph McGrath | 1987 | |\n| Peter John Harden Jenkin | 1988 | |\n| Douglas John White | 1988 | |\n| Sian Elias | 1988 | |\n| Colin Stuart Withnall | 1988 | |\n| Lowell Goddard | 1988 | |\n| Michael Henry Walkinton Lance | 1988 | |\n| Hugh Williams | 1988 | |\n| Walter Iles | 1989 | |\n| John Arthur Laurenson | 1989 | |\n| Nigel Hampton | 1989 | |\n| George Patterson Barton | 1990 | |\n| Stephen Pendrill Charles | 1990 | |\n| Colin Robert Carruthers | 1990 | |\n| Leslie Herrick Atkins | 1990 | |\n| John Gerard Fogarty | 1990 | |\n| Paul Thomas Cavanagh | 1991 | |\n| John Oswald Upton | 1991 | |\n| Michael Robert Camp | 1991 | |\n| Anthony Alan Lusk | 1991 | |\n| Julian Grosvenor Miles | 1991 | |\n| William Young | 1991 | |\n| Robert Chambers | 1992 | |\n| Raynor John Asher | 1992 | |\n| Raymond Bruce Squire | 1992 | |\n| Barry John Paterson | 1993 | |\n| John Richard Wild | 1993 | |\n| John Haigh | 1993 | |\n| John Maurice Priestley | 1994 | |\n| Rodney Eric Harrison | 1994 | |\n| Graham Panckhurst | 1994 | |\n| Rhys Harrison | 1994 | |\n| John Francis Lyons | 1994 | |\n| Frank Hortin Callaway | 1994 | |\n| David Shavin | 1994 | |\n| Kenneth Keith | 1994 | |\n| Christopher Ardagh McVeigh | 1995 | |\n| Gary James Judd | 1995 | |\n| Rodney Harold Hansen | 1995 | |\n| Heughan Bassett Rennie | 1995 | |\n| Bradley Harle Giles | 1995 | |\n| Michael Privett Reed | 1995 | |\n| Judith Ablett-Kerr | 1995 | |\n| Paul East | 1995 | |\n| Charles Augustine Sweeney | 1995 | |\n| Stuart Bruce Walton Grieve | 1996 | |\n| Bill Wilson | 1996 | |\n| Tony Randerson | 1996 | |\n| Austin John Forbes | 1996 | |\n| Nicholas Richard William Davidson | 1996 | |\n| John Richard Billington | 1996 | |\n| Paul Joseph Davison | 1996 | |\n| Denese Rosemary Bates | 1996 | |\n| Howard Carisbrooke Keyte | 1997 | |\n| John Grayson Rowan | 1997 | |\n| David McCaw Wilson | 1997 | |\n| Lynton Laurence Stevens | 1997 | |\n| Terence Arnold | 1997 | |\n| Brendan William Francis Brown | 1997 | |\n| Helen Ann Cull | 1997 | |\n| Kevin Ryan | 1998 | |\n| Christopher John Hodson | 1998 | |\n| Ian Ronald Millard | 1998 | |\n| Royden John Somerville | 1998 | |\n| Robert John Katz | 1998 | |\n| Anthony Cuthbert Hughes-Johnson | 1998 | |\n| Robert Andrew Dobson | 1998 | |\n| Ailsa Patricia Duffy | 1998 | |\n| Paul Robert Heath | 1998 | |\n| Michael John Behrens | 1999 | |\n| Noel Wallace Ingram | 1999 | |\n| Rodger Phillip George Haines | 1999 | |\n| Christopher Holden Toogood | 1999 | |\n| Kristy Pearl McDonald | 1999 | |\n| Thomas Crowley Weston | 1999 | |\n| Peter Donald McKenzie | 2000 | |\n| Viviene Heath Ullrich | 2000 | |\n| David Brian Collins | 2000 | |\n| Paul Gerard Mabey | 2000 | |\n| David McGee | 2000 | |\n| Bruce Stewart | 2000 | |\n| Mark Leslie Smith Cooper | 2000 | |\n| George Edwin Tanner | 2002 | |\n| Richard Spencer Clarke | 2002 | |\n| Peter Frederick Arthur Woodhouse | 2002 | |\n| Andrew Hawksworth Brown | 2002 | |\n| Donald Leslie Stevens | 2002 | |\n| Robert Fortescue Fardell | 2002 | |\n| Edwin David Wylie | 2002 | |\n| Anne Elizabeth Hinton | 2002 | |\n| Mary Therese Scholtens | 2002 | |\n| Maureen Jeanette Southwick | 2003 | |\n| Grant Maxwell Illingworth | 2003 | |\n| Philip James Morgan | 2003 | |\n| David John Goddard | 2003 | |\n| Michael Grant Ring | 2004 | |\n| Harry Waalkens | 2004 | |\n| Miriam Rose Dean | 2004 | |\n| Francis Morland Robin Cooke | 2004 | |\n| Tómas Williamson Harper Kennedy-Grant | 2005 | |\n| Helen Mary Aikman | 2005 | |\n| David Paul Hearmon Jones | 2005 | |\n| John Frederick Burrows | 2005 | |\n| Brian Paul Keene | 2006 | |\n| Bruce Dwight Gray | 2006 | |\n| John Livingston Marshall | 2007 | |\n| Bruce Andrew Corkill | 2007 | |\n| Matthew Eugene Casey | 2007 | |\n| Stephen John Mills | 2007 | |\n| Robert Macrae Lithgow | 2007 | |\n| John Stephen Kós | 2007 | |\n| Christopher Thomas Gudsell | 2007 | |\n| Susan Wendy Hughes | 2007 | |\n| Nicholas Allen Till | 2007 | |\n| Deborah Anne Tohill Hollings Chambers | 2007 | |\n| Campbell Alan McLachlan | 2007 | |\n| Karen Louise Clark | 2007 | |\n| Geoffrey Palmer | 2008 | |\n| David Jonathan Heaney | 2008 | |\n| Murray Gilbert | 2008 | |\n| Jack Edward Hodder | 2008 | |\n| Marion Jan McCartney | 2008 | |\n| Simon John Eisdell Moore | 2008 | |\n| Judith Christine Gordon | 2008 | |\n| Chris Finlayson | 2012 | |\n| Michael Richard Heron | 2012 | |\n| Philip Humphrey Brett Hall | 2013 | Christchurch |\n| Terence George Stapleton | 2013 | Wellington |\n| Richard James Buxton Fowler | 2013 | Wellington |\n| Simon Robert Jefferson | 2013 | Auckland |\n| Trevor John Shiels | 2013 | Dunedin |\n| Paul Edmund Dacre | 2013 | Auckland |\n| Russell Fairbrother | 2013 | Napier |\n| Frances Mary Joychild | 2013 | Auckland |\n| Nathan Stanley Gedye | 2013 | Auckland |\n| Peter Bruce Churchman | 2013 | Wellington |\n| Peter George Watts | 2013 | Auckland |\n| Justin Bane MacRae Smith | 2013 | Wellington |\n| Graham Kohler | 2013 | Auckland |\n| Matthew Alexander Muir | 2013 | Auckland |\n| Gillian Mary Coumbe | 2013 | Auckland |\n| Leslie John Taylor | 2013 | Wellington |\n| Kathryn Gail Davenport | 2013 | Auckland |\n| Matthew Nicholas Dunning | 2013 | Auckland |\n| Philip George Skelton | 2013 | Auckland |\n| David John Chisholm | 2013 | Auckland |\n| John Chester Pike | 2013 | Wellington |\n| Christine Mary Meechan | 2013 | Auckland |\n| Clive Lincoln Elliott | 2013 | Auckland |\n| Jonathan Heyward McDouall Eaton | 2013 | Christchurch |\n| Daniel Hugh McLellan | 2013 | Auckland |\n| Neil Ross Campbell | 2013 | Auckland |\n| Russell Bartlett | 2014 | Auckland |\n| Stephen Bonnar | 2014 | Auckland |\n| Paul David | 2014 | Auckland |\n| Marie Dyhrberg | 2014 | Auckland |\n| Antonia Fisher | 2014 | Auckland |\n| Paul Rishworth | 2014 | Auckland |\n| Paul Wicks | 2014 | Auckland |\n| Prudence Steven | 2014 | Christchurch |\n| Peter Whiteside | 2014 | Christchurch |\n| Anita Chan | 2014 | Dunedin |\n| David Laurenson | 2014 | Auckland |\n| Matthew McClelland | 2014 | Wellington |\n| Matthew Palmer | 2014 | Wellington |\n| Paul Radich | 2014 | Wellington |\n| Margaret Casey | 2015 | Auckland |\n| Mark O'Brien | 2015 | Wellington |\n| Richard Boast | 2015 | Wellington |\n| Derek Nolan | 2016 | Auckland |\n| Aaron Perkins | 2016 | Auckland |\n| Kieran Raftery | 2016 | Auckland |\n| David Bigio | 2016 | Auckland |\n| Jane Anderson | 2016 | Auckland |\n| Marc Corlett | 2016 | Auckland |\n| Vanessa Bruton | 2016 | Auckland |\n| Richard Raymond | 2016 | Christchurch |\n| John Prebble | 2016 | Wellington |\n| Kenneth Johnston | 2016 | Wellington |\n| Victoria Casey | 2016 | Wellington |\n| Una Jagose | 2016 | Wellington |\n| John Dixon | 2017 | Auckland |\n| Suzanne Robertson | 2017 | Auckland |\n| Rachael Reed | 2017 | Auckland |\n| Paul Borich | 2017 | Auckland |\n| Adam Ross | 2017 | Auckland |\n| Jennifer Cooper | 2017 | Auckland |\n| Simon Mount | 2017 | Auckland |\n| Andrew Barker | 2017 | Auckland |\n| Greg Blanchard | 2017 | Auckland |\n| Campbell Walker | 2017 | Auckland |\n| Grant Brittain | 2017 | Tauranga |\n| James Every-Palmer | 2017 | Wellington |\n| Tony Angelo | 2017 | Wellington |" + }, + { + "from": "human", + "value": "Generate a one-sentence summary about the highlighted table cells based on the following Wikipedia table and its metadata. \nTable title: List of King's and Queen's Counsel in New Zealand\nSection title: List of office holders\nSection text: The following is a complete list of the office holders, based on the list maintained by the Crown Law Office plus one person (Claude Weston) who, according to the Law Society, is missing on the official list." + }, + { + "from": "gpt", + "value": "Peter Williams was a New Zealand lawyer." + } + ] + }, + { + "id": "table_instructV_multi_round_36631", + "image": "table_instructV/images/ToTTo_train_table_33302.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Image | Name | Location | Opening date | Owner | No. of stores | GLA | Location | Ref. |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| | Centro Plaza Occidente | Chinandega | 2011 | Santasara, S.A | 60 | 14,361 m2 | 12°37′19″N 87°07′10″W / 12.621884°N 87.119356°W | |\n| | Multicentro Estelí | Estelí | 2013 | Desarrollos de Nicaragua | 46 | 7,000 m2 | 13°06′00″N 86°21′07″W / 13.100039°N 86.351947°W | |\n| - | Camino de Oriente | Managua | 1974 | N/A | 74 | N/A | 12°06′38″N 86°15′16″W / 12.110655°N 86.254312°W | |\n| - | Centro Comercial Managua | Managua | 1973 | Inversiones Comerciales, S.A. | 210 | 20,500 m2 | 12°07′00″N 86°14′53″W / 12.116636°N 86.247998°W | |\n| - | Galerías Santo Domingo | Managua | 2005 | Inmobiliaria Santo Domingo | 108 | 57,000 m2 | 12°06′13″N 86°14′57″W / 12.10366°N 86.249103°W | |\n| - | Metrocentro Managua | Managua | 1974 | Grupo Roble | 120 | 50,000 m2 | 12°07′43″N 86°15′54″W / 12.128537°N 86.264896°W | |\n| - | Multicentro Las Américas | Managua | 2006 | Desarrollos Sooner | 147 | 53,000 m2 | 12°08′21″N 86°13′44″W / 12.139273°N 86.229024°W | |\n| - | Plaza Inter | Managua | 1998 | Nica Eastern Development | 65 | 16,000 m2 | 12°08′40″N 86°16′28″W / 12.144499°N 86.274332°W | |" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table and its metadata. You are required to generate a one-sentence description of highlighted table cells. \nTable title: List of shopping malls in Nicaragua\nSection title: List of shopping malls" + }, + { + "from": "gpt", + "value": "Managua has opened four shopping malls, such as: Plaza Inter, Centro Comercial Metrocentro, Galerias Santo Domingo, and Multicentro Las Americas." + } + ] + }, + { + "id": "table_instructV_multi_round_36703", + "image": "table_instructV/images/ToTTo_train_table_34332.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in the presented picture and represent it in the markdown-format.\n" + }, + { + "from": "gpt", + "value": "| Season | Bowl | Opponent | Result |\n| --- | --- | --- | --- |\n| 1927 | Rose Bowl | Stanford | L 6–7 |\n| 1929 | Rose Bowl | Southern California | L 14–47 |\n| 1932 | Rose Bowl | Southern California | L 0–35 |\n| 1936 | Rose Bowl | Washington | W 21–0 |\n| 1955 | Sugar Bowl | Georgia Tech | L 0–7 |\n| 1956 | Gator Bowl | Georgia Tech | L 14–21 |\n| 1973 | Fiesta Bowl | Arizona State | L 7–28 |\n| 1975 | Sun Bowl | Kansas | W 33–19 |\n| 1976 | Sugar Bowl | Georgia | W 27–3 |\n| 1977 | Gator Bowl | Clemson | W 34–3 |\n| 1978 | Tangerine Bowl | NC State | L 17–30 |\n| 1979 | Fiesta Bowl | Arizona | W 16–10 |\n| 1980 | Gator Bowl | South Carolina | W 37–9 |\n| 1981 | Sugar Bowl | Georgia | W 24–20 |\n| 1982 | Cotton Bowl Classic | Southern Methodist | L 3–7 |\n| 1983 | Fiesta Bowl | Ohio State | L 23–28 |\n| 1987 | Astro-Bluebonnet Bowl | Texas | L 27–32 |\n| 1989 | John Hancock Bowl | Texas A&M | W 31–28 |\n| 1997 | Liberty Bowl | Southern Miss | L 7–41 |\n| 2000 | Insight.com Bowl | Iowa State | L 29–37 |\n| 2001 | Tangerine Bowl | NC State | W 34–19 |\n| 2002 | Insight Bowl | Oregon State | W 38–13 |\n| 2003 | Continental Tire Bowl | Virginia | L 16–23 |\n| 2004 | Fiesta Bowl | Utah | L 7–35 |\n| 2008 | Sun Bowl | Oregon State | L 0–3 |\n| 2009 | Meineke Car Care Bowl | North Carolina | W 19–17 |\n| 2010 | BBVA Compass Bowl | Kentucky | W 27–10 |\n| 2011 | BBVA Compass Bowl | Southern Methodist | L 6–28 |\n| 2012 | BBVA Compass Bowl | Ole Miss | L 17–38 |\n| 2013 | Little Caesars Pizza Bowl | Bowling Green | W 30–27 |\n| 2014 | Armed Forces Bowl | Houston | L 34–35 |\n| 2015 | Military Bowl | Navy | L 28–44 |\n| 2016 | Pinstripe Bowl | Northwestern | L 24–31 |\n| 2018 | Sun Bowl | Stanford | L 13–14 |" + }, + { + "from": "human", + "value": "Analyzing this Wikipedia table titled 'Pittsburgh Panthers football'. It is extracted from a section titled 'Bowl games'. The section text is: Pitt has been to 34 bowl games throughout its history, winning 13 and losing 21.\nUse this table and its associated metadata to craft a sentence that describes the highlighted cells." + }, + { + "from": "gpt", + "value": "In the 2013 season, the Panthers defeated the Bowling Green by 30–27 at the Little Caesars Pizza Bowl." + } + ] + }, + { + "id": "table_instructV_multi_round_36707", + "image": "table_instructV/images/TABMWP_36031.jpg", + "conversations": [ + { + "from": "human", + "value": "Recognize the table in this picture and return a markdown-style reconstructed table in text.\n" + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $700 | 20,100 | 20,900 |\n| $860 | 15,400 | 21,000 |\n| $1,020 | 10,700 | 21,100 |\n| $1,180 | 6,000 | 21,200 |\n| $1,340 | 1,300 | 21,300 |" + }, + { + "from": "human", + "value": "According to the table, solve this problem and give detail solutions. At the end of your output, present the final answer as JSON in the format {\"answer\": \"\"}.\n\nLook at the table. Then answer the question. At a price of $860, is there a shortage or a surplus? (A) shortage (B) surplus" + }, + { + "from": "gpt", + "value": "At the price of $860, the quantity demanded is less than the quantity supplied. There is too much of the good or service for sale at that price. So, there is a surplus.\n\n\nTherefore, the final answer is {\"answer\": \"surplus\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_36718", + "image": "table_instructV/images/TABMWP_11158.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| Number of plants | Number of tomatoes |\n| --- | --- |\n| 1 | 2 |\n| 2 | 4 |\n| 3 | 6 |\n| 4 | 8 |\n| 5 | ? |" + }, + { + "from": "human", + "value": "Solve the math problem below using the information from the table. Detail each step. Output the final answer as JSON in the format {\"answer\": \"\"}.\n\nEach plant has 2 tomatoes. How many tomatoes are on 5 plants? (Unit: tomatoes)" + }, + { + "from": "gpt", + "value": "Count by twos. Use the chart: there are 10 tomatoes on 5 plants.\n\nSo, the answer is {\"answer\": \"10\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_36736", + "image": "table_instructV/images/ToTTo_train_table_21399.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| No. | Faculty | Male | Female | Total |\n| --- | --- | --- | --- | --- |\n| 1 | Agriculture | 651 | 150 | 801 |\n| 2 | Applied Science | 470 | 297 | 767 |\n| 3 | Badqis Agriculture | 232 | 6 | 238 |\n| 4 | Badqis Education | 92 | 48 | 140 |\n| 5 | Computer Science | 307 | 90 | 397 |\n| 6 | Economics | 716 | 156 | 872 |\n| 7 | Education (Pedagogy) | 1278 | 1232 | 2510 |\n| 8 | Engineering | 616 | 65 | 681 |\n| 9 | Fine & Arts | 100 | 122 | 222 |\n| 10 | Islamic Studies (Theology) | 536 | 208 | 744 |\n| 11 | Journalism | 202 | 60 | 262 |\n| 12 | Law & Political Science | 437 | 215 | 652 |\n| 13 | Literature & Humanities | 379 | 416 | 795 |\n| 14 | Medicine | 423 | 342 | 765 |\n| 15 | Public Administration | 342 | 119 | 461 |\n| 16 | Veterinary | 106 | 16 | 122 |\n| | Total | 6887 | 3542 | 10429 |" + }, + { + "from": "human", + "value": "In this task, you are given a Wikipedia table and its metadata. You are required to generate a one-sentence description of highlighted table cells. \nTable title: Herat University\nSection title: Students Statistics at Herat University in 2012" + }, + { + "from": "gpt", + "value": "Herat University has 10429 students." + } + ] + }, + { + "id": "table_instructV_multi_round_36743", + "image": "table_instructV/images/TABMWP_37605.jpg", + "conversations": [ + { + "from": "human", + "value": "\nRead the shown table in this image and give me the reconstructed table in the markdown text format." + }, + { + "from": "gpt", + "value": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $330 | 17,600 | 14,800 |\n| $510 | 16,700 | 15,700 |\n| $690 | 15,800 | 16,600 |\n| $870 | 14,900 | 17,500 |\n| $1,050 | 14,000 | 18,400 |" + }, + { + "from": "human", + "value": "Math word problem: Look at the table. Then answer the question. At a price of $870, is there a shortage or a surplus? (A) shortage (B) surplus\n\nShow your detailed solution with the final answer in the JSON format {'answer': ''}." + }, + { + "from": "gpt", + "value": "At the price of $870, the quantity demanded is less than the quantity supplied. There is too much of the good or service for sale at that price. So, there is a surplus.\n\n\nTherefore, the final answer is {\"answer\": \"surplus\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_36755", + "image": "table_instructV/images/TABMWP_33951.jpg", + "conversations": [ + { + "from": "human", + "value": "Take a look at the table in this image and provide me with the markdown representation of the table in text format.\n" + }, + { + "from": "gpt", + "value": "| Destination | Elevation (ft.) |\n| --- | --- |\n| Underground lake | -350 |\n| Mountain peak | 325 |" + }, + { + "from": "human", + "value": "Give you a table. Please solve the math problem below, showing each step. The concluding answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\n\nBrian's campground is close to two hiking trails with scenic destinations. One trail ends at an underground lake in the bottom of a small cave. The other trail ends at a mountain peak. The elevation of each destination is shown on the campground map. Which trail's destination is farther from sea level? (A) underground lake (B) mountain peak" + }, + { + "from": "gpt", + "value": "The underground lake's elevation is negative, so it is below sea level. The mountain peak's elevation is positive, so it is above sea level.\nTo find the destination farther from sea level, use absolute value. Absolute value tells you how far each destination is from sea level.\nUnderground lake: |-350| = 350\nMountain peak: |325| = 325\nThe underground lake is 350 feet below sea level, and the mountain peak is only 325 feet above sea level. The underground lake is farther from sea level.\n\nSo, the answer is {\"answer\": \"underground lake\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_36824", + "image": "table_instructV/images/TABMWP_29834.jpg", + "conversations": [ + { + "from": "human", + "value": "Read the shown table in this image and give me the reconstructed table in the markdown text format.\n" + }, + { + "from": "gpt", + "value": "| | Road bike tires | Mountain bike tires |\n| --- | --- | --- |\n| Red | 6 | 3 |\n| Green | 3 | 3 |" + }, + { + "from": "human", + "value": "Adam is shopping for a new bicycle. He is most interested in color and type of tires. What is the probability that a randomly selected bike is red and has road bike tires? Simplify any fractions.\n\nSolve the above problem using the table information. The final result should be presented in the JSON format of {\"answer\": \"\"}." + }, + { + "from": "gpt", + "value": "Let A be the event \"the bike is red\" and B be the event \"the bike has road bike tires\".\nTo find the probability that a bike is red and has road bike tires, first identify the sample space and the event.\nThe outcomes in the sample space are the different bikes. Each bike is equally likely to be selected, so this is a uniform probability model.\nThe event is A and B, \"the bike is red and has road bike tires\".\nSince this is a uniform probability model, count the number of outcomes in the event A and B and count the total number of outcomes. Then, divide them to compute the probability.\n\nFind the number of outcomes in the event A and B.\nA and B is the event \"the bike is red and has road bike tires\", so look at the table to see how many bikes are a red and have road bike tires.\nThe number of bikes that are a red and have road bike tires is 6.\n\nFind the total number of outcomes.\nAdd all the numbers in the table to find the total number of bikes.\n6 + 3 + 3 + 3 = 15\n\nFind P(A and B).\nSince all outcomes are equally likely, the probability of event A and B is the number of outcomes in event A and B divided by the total number of outcomes.\nP(A and B) = \\frac{# of outcomes in A and B}{total # of outcomes}\n = \\frac{6}{15}\n = \\frac{2}{5}\nThe probability that a bike is red and has road bike tires is \\frac{2}{5}.\n\nThus, the final answer is {\"answer\": \"2/5\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_37110", + "image": "table_instructV/images/TabFact_1-2241259-1.html.csv.jpg", + "conversations": [ + { + "from": "human", + "value": "\nTake a look at the table in this image and provide me with the markdown representation of the table in text format." + }, + { + "from": "gpt", + "value": "| year | date | driver | team | manufacturer | laps | - | race time | average speed (mph) | report |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1988 | november 6 | alan kulwicki | ak racing | ford | 312 | 312 (502.115) | 3:26:57 | 90.457 | report |\n| 1989 | november 5 | bill elliott | melling racing | ford | 312 | 312 (502.115) | 2:57:08 | 105.683 | report |\n| 1990 | november 4 | dale earnhardt | richard childress racing | chevrolet | 312 | 312 (502.115) | 3:13:25 | 96.786 | report |\n| 1991 | november 3 | davey allison | robert yates racing | ford | 312 | 312 (502.115) | 3:15:31 | 95.746 | report |\n| 1992 | november 1 | davey allison | robert yates racing | ford | 312 | 312 (502.115) | 3:00:12 | 103.885 | report |\n| 1993 | october 31 | mark martin | roush racing | ford | 312 | 312 (502.115) | 3:06:30 | 100.375 | report |\n| 1994 | october 30 | terry labonte | hendrick motorsports | chevrolet | 312 | 312 (502.115) | 2:54:12 | 107.463 | report |\n| 1995 | october 29 | ricky rudd | rudd performance motorsports | ford | 312 | 312 (502.115) | 3:03:18 | 102.128 | report |\n| 1996 | october 27 | bobby hamilton | petty enterprises | pontiac | 312 | 312 (502.115) | 2:50:38 | 109.709 | report |\n| 1997 | november 2 | dale jarrett | robert yates racing | ford | 312 | 312 (502.115) | 2:48:55 | 110.824 | report |\n| 1998 | october 25 | rusty wallace | penske racing | ford | 257 | 257 (413.601) | 2:22:30 | 108.211 | report |\n| 1999 | november 7 | tony stewart | joe gibbs racing | pontiac | 312 | 312 (502.115) | 2:38:28 | 118.132 | report |\n| 2000 | november 5 | jeff burton | roush racing | ford | 312 | 312 (502.115) | 2:58:13 | 105.041 | report |\n| 2001 | october 28 | jeff burton | roush racing | ford | 312 | 312 (502.115) | 3:02:26 | 102.613 | report |\n| 2002 | november 10 | matt kenseth | roush racing | ford | 312 | 312 (502.115) | 2:44:25 | 113.857 | report |\n| 2003 | november 2 | dale earnhardt , jr | dale earnhardt , inc | chevrolet | 312 | 312 (502.115) | 3:19:11 | 93.984 | report |\n| 2004 | november 7 | dale earnhardt , jr | dale earnhardt , inc | chevrolet | 315 | 315 (506.943) | 3:19:16 | 94.848 | report |\n| 2005 | november 13 | kyle busch | hendrick motorsports | chevrolet | 312 | 312 (502.115) | 3:02:23 | 102.641 | report |\n| 2006 | november 12 | kevin harvick | richard childress racing | chevrolet | 312 | 312 (502.115) | 3:14:44 | 96.131 | report |\n| 2007 | november 11 | jimmie johnson | hendrick motorsports | chevrolet | 312 | 312 (502.115) | 3:01:46 | 102.989 | report |\n| 2008 | november 9 | jimmie johnson | hendrick motorsports | chevrolet | 313 | 313 (503.724) | 3:12:01 | 97.804 | report |\n| 2009 | november 15 | jimmie johnson | hendrick motorsports | chevrolet | 312 | 312 (502.115) | 2:49:26 | 110.486 | report |\n| 2010 | november 14 | carl edwards | roush fenway racing | ford | 312 | 312 (502.115) | 2:49:01 | 110.754 | report |\n| 2011 | november 13 | kasey kahne | red bull racing team | toyota | 312 | 312 (502.115) | 2:45:47 | 112.918 | report |" + }, + { + "from": "human", + "value": "According to the information in the given table regarding 'advocare 500 (phoenix)', tell me whether the claim is confirmed or refuted by the table. Present the final answer in a JSON format {\"answer\": \"\"} like {\"answer\": \"entailed\"}.\nthe total number of race time for kevin harvick is 2" + }, + { + "from": "gpt", + "value": "The evidence provided by the table indicates that the claim is not valid. Hence, the answer is {\"answer\": \"refuted\"}." + }, + { + "from": "human", + "value": "Examine the table titled 'advocare 500 (phoenix)' and judge whether the table confirms or challenges the following statement. Your final answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nthe total number of race time for kevin harvick is 3:14:44" + }, + { + "from": "gpt", + "value": "Considering the information from the table, it confirms the statement. So, the answer is {\"answer\": \"confirms\"}." + } + ] + }, + { + "id": "table_instructV_multi_round_37192", + "image": "table_instructV/images/TABMWP_1631.jpg", + "conversations": [ + { + "from": "human", + "value": "\nThis picture illustrates a table. Please represent this table with the markdown-format in text." + }, + { + "from": "gpt", + "value": "| Number of roofs | Number of sparrows |\n| --- | --- |\n| 1 | 10 |\n| 2 | 20 |\n| 3 | 30 |\n| 4 | ? |" + }, + { + "from": "human", + "value": "Answer the following question based on the table information. Let's think step by step. The concluding answer should be in the JSON structure, formatted as {\"answer\": \"\"}.\nEach roof has 10 sparrows. How many sparrows are on 4 roofs? (Unit: sparrows)" + }, + { + "from": "gpt", + "value": "Count by tens. Use the chart: there are 40 sparrows on 4 roofs.\n\nThus, the final answer is {\"answer\": \"40\"}." + } + ] + } +] \ No newline at end of file