Datasets:

markab
/

coqa_qa_multi

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Split (2)

train · 6.16k rows

conversations listlengths 3 3
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER IV. \n\nSAVING THE SLOOP. \n\nIt was no pleasant position to be in. The three lads had been cast so suddenly into the angry waters that for the moment they could not comprehend the situation. \n\nThen Blumpo let out a yell of terror. \n\n\"Save me! De boat has gone down!\" \n\nHe was wrong, however, for a second later the row-boat bobbed up, less than four yards off. \n\n\"This way!\" shouted Harry to his companions, but the wind fairly drowned his voice. He swam toward the upturned craft, and Blumpo and Jerry were not slow in following it. \n\nHardly had they reached it when a new peril confronted them. The Cutwater was bearing directly down upon them. With every sail set, she was in the very act of cutting them to pieces! \n\n\"Look! look!\" yelled Harry. \"We are doomed!\" \n\n\"My gracious!\" moaned Blumpo. \n\nOn and on came the sloop, with gigantic bounds over the whitecaps. Clarence Conant seemed utterly powerless to stay her course, or steer her to the right or left. \n\nThe young ladies on board with him huddled in a heap near the tiny cabin, their faces white with terror. \n\nIt was truly a thrilling moment. \n\nOf the entire crowd Jerry was the only one to keep perfectly cool. \n\nHe was astride the row-boat, directly in the centre of the bottom, and it seemed as if the prow of the Cutwater must strike him in a second more. \n\n\"Every one dive under!\" he called out, and went overboard like a flash. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"79024\": \"How many fell in the water?\"\n },\n {\n \"79025\": \"Were the waters calm?\"\n },\n {\n \"79026\": \"Who first broke the silence?\"\n },\n {\n \"79027\": \"What happened to their vessel?\"\n },\n {\n \"79028\": \"Was Blumpo correct?\"\n },\n {\n \"79029\": \"How far away was the boat?\"\n },\n {\n \"79030\": \"Whose voice was drowned out?\"\n },\n {\n \"79031\": \"What drowned him out?\"\n },\n {\n \"79032\": \"Where did he swim to?\"\n },\n {\n \"79033\": \"Who followed close behind?\"\n },\n {\n \"79034\": \"What disaster faced them after reaching the boat?\"\n },\n {\n \"79035\": \"Who pointed out the oncoming emergency first?\"\n },\n {\n \"79036\": \"Was he optimistic about it?\"\n },\n {\n \"79037\": \"Who was steering The Cutwater?\"\n },\n {\n \"79038\": \"Were there other people on board?\"\n },\n {\n \"79039\": \"Were the people calm?\"\n },\n {\n \"79040\": \"Were the other people men?\"\n },\n {\n \"79041\": \"Who was the only one to stay collected?\"\n },\n {\n \"79042\": \"What was his location?\"\n },\n {\n \"79043\": \"What did he suggest to save themselves?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"79024\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"79025\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"79026\",\n \"answer\": \"Blumpo\"\n },\n {\n \"question_id\": \"79027\",\n \"answer\": \"Overturned\"\n },\n {\n \"question_id\": \"79028\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"79029\",\n \"answer\": \"Less than four yards off.\"\n },\n {\n \"question_id\": \"79030\",\n \"answer\": \"Harry\"\n },\n {\n \"question_id\": \"79031\",\n \"answer\": \"The wind\"\n },\n {\n \"question_id\": \"79032\",\n \"answer\": \"To the upturned craft\"\n },\n {\n \"question_id\": \"79033\",\n \"answer\": \"Blumpo and Jerry\"\n },\n {\n \"question_id\": \"79034\",\n \"answer\": \"The Cutwater\"\n },\n {\n \"question_id\": \"79035\",\n \"answer\": \"Harry\"\n },\n {\n \"question_id\": \"79036\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"79037\",\n \"answer\": \"Clarence Conant\"\n },\n {\n \"question_id\": \"79038\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"79039\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"79040\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"79041\",\n \"answer\": \"Jerry\"\n },\n {\n \"question_id\": \"79042\",\n \"answer\": \"In the centre of the bottom\"\n },\n {\n \"question_id\": \"79043\",\n \"answer\": \"Every one dive under\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER II \n\nTHE WRECK \n\nThe night was calm, but now and then a faint, hot wind blew from the shadowy coast, and rippling the water, brought a strange, sour smell. Lister did not know the smell; Brown knew and frowned, for he had been broken by the malaria that haunts West African river mouths. Heavy dew dripped from the awnings on _Terrier's_ bridge and in places trickled through the material, since canvas burns in the African sun. Brown searched the dark coast with his glasses, trying to find the marks he had noted on the chart. Lister leaned against the rails and mused about the voyage. \n\nThey had ridden out a winter's gale in the Bay of Biscay and for a night had lost the hulk and the men on board. Then they went into Vigo, where Lister's firemen wrecked a wine shop and it cost him much in bribes to save them from jail. He had another taste of their quality at Las Palmas, where they made trouble with the port guards and Brown brawled in the cheap wine shops behind the cathedral. In fact, it was some relief when the captain fell off the steam tram that runs between town and port, and a cut on his head stopped his adventures. \n\nThen they steamed for fourteen-hundred miles before the Northeast Trades, with a misty blue sky overhead and long, white-topped seas rolling up astern. The Trade breeze was cool and bracing, but they lost it near the coast, and now the air was hot and strangely heavy. One felt languid and cheerfulness cost an effort. The men had begun to grumble and Lister was glad the voyage was nearly over and it was time to get to work. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"26114\": \"What type of weather did they just overcome?\"\n },\n {\n \"26115\": \"Where?\"\n },\n {\n \"26116\": \"Did they lose people during this?\"\n },\n {\n \"26117\": \"Where did they go next?\"\n },\n {\n \"26118\": \"Who wrecked a wine shop?\"\n },\n {\n \"26119\": \"Did they go to jail?\"\n },\n {\n \"26120\": \"What did he have to do to prevent that?\"\n },\n {\n \"26121\": \"Had they caused trouble before?\"\n },\n {\n \"26122\": \"Where?\"\n },\n {\n \"26123\": \"What did they do?\"\n },\n {\n \"26124\": \"Who got in a fight?\"\n },\n {\n \"26125\": \"Where?\"\n },\n {\n \"26126\": \"What were they behind?\"\n },\n {\n \"26127\": \"Was this a stormy night now?\"\n },\n {\n \"26128\": \"Was Brown sick?\"\n },\n {\n \"26129\": \"What did he have?\"\n },\n {\n \"26130\": \"What was he looking for?\"\n },\n {\n \"26131\": \"How far did they travel before the Northeast Trades?\"\n },\n {\n \"26132\": \"Was the wind hot?\"\n },\n {\n \"26133\": \"What was Lister happy about?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"26114\",\n \"answer\": \"a winter's gale\"\n },\n {\n \"question_id\": \"26115\",\n \"answer\": \"in the Bay of Biscay\"\n },\n {\n \"question_id\": \"26116\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"26117\",\n \"answer\": \"into Vigo\"\n },\n {\n \"question_id\": \"26118\",\n \"answer\": \"Lister's firemen\"\n },\n {\n \"question_id\": \"26119\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"26120\",\n \"answer\": \"it cost him much in bribes\"\n },\n {\n \"question_id\": \"26121\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"26122\",\n \"answer\": \"at Las Palmas,\"\n },\n {\n \"question_id\": \"26123\",\n \"answer\": \"made trouble with the port guards\"\n },\n {\n \"question_id\": \"26124\",\n \"answer\": \"Brown\"\n },\n {\n \"question_id\": \"26125\",\n \"answer\": \"in the cheap wine shops\"\n },\n {\n \"question_id\": \"26126\",\n \"answer\": \"the cathedral.\"\n },\n {\n \"question_id\": \"26127\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"26128\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"26129\",\n \"answer\": \"malaria\"\n },\n {\n \"question_id\": \"26130\",\n \"answer\": \"his glasses\"\n },\n {\n \"question_id\": \"26131\",\n \"answer\": \"1400 miles\"\n },\n {\n \"question_id\": \"26132\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"26133\",\n \"answer\": \"He was glad the voyage was nearly over\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Early this year, Michael Sam made news by announcing he is gay. On Saturday, he made history as the first openly gay player to be drafted by a National Football League team. Seconds later, he made waves kissing his boyfriend in celebration as cameras looked on. \n\nNow, Sam has one goal in mind -- to make the St. Louis Rams' roster. \n\n\"I'm determined to be great,\" he told reporters Tuesday in St. Louis. \"So I'm going to train hard and try to make the team.\" \n\nAs a selection in the seventh and last round in the NFL draft, Sam playing for the Rams or any other NFL team this upcoming season is hardly a lock. \n\nAnd with standouts like Chris Long and Kendall Langford, the fact that St. Louis boasts one of the league's best defensive lines -- the place where Sam starred at the University of Missouri -- makes his task even harder. \n\nThat challenge isn't lost on Sam, who some experts thought might not fit in the NFL not because of his sexual orientation but because they characterized him as a \"tweener\" -- too small to play on the defensive line, too slow to be a linebacker. \n\nStill, he sees the chance to learn from his Rams coaches and teammates things that can help improve his game. And he seemed careful Tuesday not to get too far ahead of himself, expressing thanks for being given \"the opportunity to play\" but professing no certainty that he will be on the sidelines come opening day. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"8031\": \"Who announced that he is gay?\"\n },\n {\n \"8032\": \"When he did that?\"\n },\n {\n \"8033\": \"Was he drafted by a NFL team?\"\n },\n {\n \"8034\": \"Did he make a history of some sorts?\"\n },\n {\n \"8035\": \"What?\"\n },\n {\n \"8036\": \"What is his goal now?\"\n },\n {\n \"8037\": \"Does he want to be great?\"\n },\n {\n \"8038\": \"Whom did he tell that?\"\n },\n {\n \"8039\": \"When?\"\n },\n {\n \"8040\": \"What he is going to do to achieve that?\"\n },\n {\n \"8041\": \"How is Ram's defensive lines?\"\n },\n {\n \"8042\": \"Who are their standout players?\"\n },\n {\n \"8043\": \"Will all these will be easy for Sam?\"\n },\n {\n \"8044\": \"What some characterized him as?\"\n },\n {\n \"8045\": \"Is he fast enough?\"\n },\n {\n \"8046\": \"Is he a big guy?\"\n },\n {\n \"8047\": \"Do the experts think his sexual orientation matters?\"\n },\n {\n \"8048\": \"From whom he can still learn?\"\n },\n {\n \"8049\": \"Is he careful about his acts?\"\n },\n {\n \"8050\": \"Did he thank everyone?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"8031\",\n \"answer\": \"Michael Sam\"\n },\n {\n \"question_id\": \"8032\",\n \"answer\": \"Early this year\"\n },\n {\n \"question_id\": \"8033\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"8034\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"8035\",\n \"answer\": \"the first openly gay player to be drafted\"\n },\n {\n \"question_id\": \"8036\",\n \"answer\": \"make the Rams' roster\"\n },\n {\n \"question_id\": \"8037\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"8038\",\n \"answer\": \"reporters\"\n },\n {\n \"question_id\": \"8039\",\n \"answer\": \"Tuesday\"\n },\n {\n \"question_id\": \"8040\",\n \"answer\": \"train hard\"\n },\n {\n \"question_id\": \"8041\",\n \"answer\": \"one of the best\"\n },\n {\n \"question_id\": \"8042\",\n \"answer\": \"Chris Long and Kendall Langford\"\n },\n {\n \"question_id\": \"8043\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"8044\",\n \"answer\": \"tweener\"\n },\n {\n \"question_id\": \"8045\",\n \"answer\": \"not as a linebacker\"\n },\n {\n \"question_id\": \"8046\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"8047\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"8048\",\n \"answer\": \"Rams coaches and teammates\"\n },\n {\n \"question_id\": \"8049\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"8050\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN)After weeks of controversy and the sudden departures of two co-hosts, \"Fashion Police\" is going on an extended break. \n\nThe fashion commentary show on E! channel announced Tuesday that it will be on hiatus until September. \n\n\"We look forward to taking this opportunity to refresh the show before the next awards season,\" it said in a statement. \n\nThe announcement caps a rocky few months. \n\nLast week, co-host Kathy Griffin bid the show bye-bye after seven episodes, saying her style did not blend in with her co-hosts. She made a dig at the show on her way out. \n\n\"There is plenty to make fun of in pop culture without bringing people's bodies into it,\" she said in a statement. \"I do not want to use my comedy to contribute to a culture of unattainable perfectionism and intolerance towards difference.\" \n\nShortly before her departure, co-host Giuliana Rancic faced backlash last month for suggesting that Disney star Zendaya Coleman's dreadlocks smelled of marijuana. \n\nRancic later issued an on-air apology to the 18-year-old after social media jumped to the teen's defense. \n\nBut her apology was not enough for co-host Kelly Osbourne, who criticized her remarks and quit a few days later. \n\nRancic and fellow co-host Brad Goreski will return in September, along with executive producer Melissa Rivers. \n\n\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"59478\": \"What channel is the show on?\"\n },\n {\n \"59479\": \"What is the name of the show?\"\n },\n {\n \"59480\": \"Is it going to air in August?\"\n },\n {\n \"59481\": \"Who is one of the co-host?\"\n },\n {\n \"59482\": \"And the other?\"\n },\n {\n \"59483\": \"Who's hair smelled like pot?\"\n },\n {\n \"59484\": \"And how old is she?\"\n },\n {\n \"59485\": \"When will the show air again?\"\n },\n {\n \"59486\": \"Who is the producer of the show?\"\n },\n {\n \"59487\": \"Was their a man in the cast?\"\n },\n {\n \"59488\": \"Who will be returning to the show to host?\"\n },\n {\n \"59489\": \"What company does Zendaya work for?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"59478\",\n \"answer\": \"E! channel\"\n },\n {\n \"question_id\": \"59479\",\n \"answer\": \"Fashion Police\"\n },\n {\n \"question_id\": \"59480\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"59481\",\n \"answer\": \"Kathy Griffin\"\n },\n {\n \"question_id\": \"59482\",\n \"answer\": \"Giuliana Rancic\"\n },\n {\n \"question_id\": \"59483\",\n \"answer\": \"Zendaya Coleman'\"\n },\n {\n \"question_id\": \"59484\",\n \"answer\": \"18\"\n },\n {\n \"question_id\": \"59485\",\n \"answer\": \"September.\"\n },\n {\n \"question_id\": \"59486\",\n \"answer\": \"Melissa Rivers.\"\n },\n {\n \"question_id\": \"59487\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"59488\",\n \"answer\": \"Rancic and Brad Goreski\"\n },\n {\n \"question_id\": \"59489\",\n \"answer\": \"Disney\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n A victor is, by definition, someone who wins a struggle or contest. However, that doesn't mean he or she will live a proud and happy life ever after, as Katniss Everdeen is about to discover in The Hunger Games: Catching Fire. \n\nCatching Fire, out in Chinese theaters on Nov 21, is set in a futuristic society called Panem. Every year its government holds a televised fight to the death. Two teenagers from each of the 12 districts of Panem are chosen to compete. \n\nIn the new film, last year's victors Katniss (Jennifer Lawrence) and her partner Peeta are back home after winning the 74thHunger Games. Katniss just wants to live a normal life. However, that never seems to happen. She has nightmares, which remind her that she is a killer. \n\nHer worst nightmare comes true when the annual Hunger Games arrive again. The teenager finds herself back in the competition along with Peeta. Since Katniss brings hope to Panem through her courage, President Snow plans to use this year's Games to kill off Katniss and Peeta and in turn _ the fires of rebellion. \n\n\"This is the next step of Katniss' heroism and the next part of her journey to finding out who she is really going to be,\" Lawrence told Reuters. \n\nFast-paced and full of action, Catching Fire looks to outdo the success that the first film had in 2012. With a 97 percent rating on the movie review website Rotten Tomatoes, it is enjoying positive reviews. Critics have praised it for being faithful to the book written by American author Suzanne Collins. The Hollywood Reporter said that Catching Fire outshines the first movie a lot. \n\nJennifer Lawrence, who won a best actress Oscar this year for her 2012 movie Silver Linings Playbook, has helped Catching Fire find success, Forbes pointed out. The 23-year-old actress does well playing a young lady who hates what she was forced to do to stay alive yet is determined not to give up. \n\n\"Lawrence's down-to-earth personality in real life won the hearts of the public. So given a wildly popular first film that blew everyone away, a rising fan base and a lead performer beloved by the mainstream press and viewers, the sequel was always going to be big,\" Forbes noted.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"43007\": \"What is a victor?\"\n },\n {\n \"43008\": \"Wins what?\"\n },\n {\n \"43009\": \"What was the contest or struggle?\"\n },\n {\n \"43010\": \"What happens in that?\"\n },\n {\n \"43011\": \"How many people were in the fight?\"\n },\n {\n \"43012\": \"Who were 2 of them?\"\n },\n {\n \"43013\": \"How old are they?\"\n },\n {\n \"43014\": \"Who played the part of Katniss?\"\n },\n {\n \"43015\": \"Did she win any awards?\"\n },\n {\n \"43016\": \"What did she win?\"\n },\n {\n \"43017\": \"How old is she?\"\n },\n {\n \"43018\": \"What makes her so well liked?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"43007\",\n \"answer\": \"someone who wins\"\n },\n {\n \"question_id\": \"43008\",\n \"answer\": \"a struggle or contest.\"\n },\n {\n \"question_id\": \"43009\",\n \"answer\": \"the annual Hunger Games\"\n },\n {\n \"question_id\": \"43010\",\n \"answer\": \"A televised fight to the death.\"\n },\n {\n \"question_id\": \"43011\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"43012\",\n \"answer\": \"Katniss and Peeta\"\n },\n {\n \"question_id\": \"43013\",\n \"answer\": \"They are teenagers\"\n },\n {\n \"question_id\": \"43014\",\n \"answer\": \"Jennifer Lawrence\"\n },\n {\n \"question_id\": \"43015\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"43016\",\n \"answer\": \"best actress Oscar\"\n },\n {\n \"question_id\": \"43017\",\n \"answer\": \"23-years old\"\n },\n {\n \"question_id\": \"43018\",\n \"answer\": \"Her down-to-earth personality\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Rose sat behind Kate in the classroom. They got on well with each other. But one day, Rose didn't see her school IC card at lunch time. She asked her classmates and looked for it everywhere. But she couldn't find it. Later, one girl said that she saw Kate take a card from Rose's desk. Hearing this, Rose got very angry. When she met Kate in the afternoon, Rose shouted, \"You have stolen my card!\" Hearing this, Kate began to cry, \"No, no, I didn't steal it! I only took it by mistake.\" But Rose didn't think so and she began to say bad words to Kate. Just then a teacher came up and asked what had happened. Kate told the whole story. She said a middle school classmate of hers came to see her in the morning. She was so excited that she took the card on the desk and rushed out. Then they went for lunch happily. \"I used the card, but I had thought it was mine. I didn't know it was Rose's until she looked for it. I was too afraid to explain it to her. So I decided to put the card back with some money secretly. I am sorry, Rose.\" Kate said in a low voice. \"It's just a misunderstanding !\" said the teacher. Tears came into Rose's eyes. Then she said, \"I was very sorry, Kate! I hope we are still good friends.\" Kate smiled when she heard the words. Hand in hand, they walked toward the classroom building.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"14460\": \"What kind of card did Rose not see?\"\n },\n {\n \"14461\": \"At what time did this occur?\"\n },\n {\n \"14462\": \"Did someone tell her that her card was taken?\"\n },\n {\n \"14463\": \"Who did she say took the card?\"\n },\n {\n \"14464\": \"What was Rose's reaction to this information?\"\n },\n {\n \"14465\": \"Did Kate end up using the card?\"\n },\n {\n \"14466\": \"What did she leave with the card when she returned it?\"\n },\n {\n \"14467\": \"Who was seated behind Rose in class?\"\n },\n {\n \"14468\": \"Did they get along?\"\n },\n {\n \"14469\": \"What did Rose yell at Kate that afternoon?\"\n },\n {\n \"14470\": \"Upon hearing this, what was Kate's response?\"\n },\n {\n \"14471\": \"Was she crying at this time?\"\n },\n {\n \"14472\": \"At first, did Rose believe Kate's explanation?\"\n },\n {\n \"14473\": \"What sort of classmate had come to visit Kate earlier?\"\n },\n {\n \"14474\": \"Did she and the classmate then leave to go eat?\"\n },\n {\n \"14475\": \"In the end, did Rose accept Kate's story?\"\n },\n {\n \"14476\": \"Was Kate bored when her classmate came to see her?\"\n },\n {\n \"14477\": \"What emotion did she feel?\"\n },\n {\n \"14478\": \"Why didn't Kate initially explain what happened with the card to Rose?\"\n },\n {\n \"14479\": \"Did Rose ask her classmates for help in locating the card?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"14460\",\n \"answer\": \"IC card\"\n },\n {\n \"question_id\": \"14461\",\n \"answer\": \"lunch time\"\n },\n {\n \"question_id\": \"14462\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"14463\",\n \"answer\": \"Kate\"\n },\n {\n \"question_id\": \"14464\",\n \"answer\": \"angry.\"\n },\n {\n \"question_id\": \"14465\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"14466\",\n \"answer\": \"some money secretly\"\n },\n {\n \"question_id\": \"14467\",\n \"answer\": \"Kate\"\n },\n {\n \"question_id\": \"14468\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"14469\",\n \"answer\": \"\\\"You have stolen my card!\"\n },\n {\n \"question_id\": \"14470\",\n \"answer\": \"\\\"No, no, I didn't steal it! I only took it by mistake.\\\"\"\n },\n {\n \"question_id\": \"14471\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"14472\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"14473\",\n \"answer\": \"middle school\"\n },\n {\n \"question_id\": \"14474\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"14475\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"14476\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"14477\",\n \"answer\": \"excited\"\n },\n {\n \"question_id\": \"14478\",\n \"answer\": \"afraid\"\n },\n {\n \"question_id\": \"14479\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Sen. John McCain's senior domestic policy adviser said Tuesday that the BlackBerry mobile e-mail device was a \"miracle that John McCain helped create.\" \n\nThe adviser, Douglas Holtz-Eakin, discussing the nation's economic woes with reporters, said that McCain -- who has struggled to stress his economic credentials -- did have experience dealing with the economy, pointing to his time on the Senate Commerce Committee. \n\nPressed to provide an example of what McCain had accomplished on that committee, Holtz-Eakin said the senator did not have jurisdiction over financial markets, then he held up his Blackberry, telling reporters: \"He did this.\" \n\n\"Telecommunications of the United States, the premiere innovation in the past 15 years, comes right through the Commerce Committee. So you're looking at the miracle that John McCain helped create,\" Holtz-Eakin said. \"And that's what he did. He both regulated and deregulated the industry.\" \n\nDuring the 2000 presidential campaign, Vice President Al Gore drew controversy when he said that during his time in Congress, he \"took the initiative in creating the Internet\" -- based on his work promoting funding and early research in that area. \n\nThe Obama campaign responded to the McCain adviser's comments Tuesday shortly after they were reported. \n\n\"If John McCain hadn't said that 'the fundamentals of our economy are strong' on the day of one of our nation's worst financial crises, the claim that he invented the BlackBerry would have been the most preposterous thing said all week,\" said Obama campaign spokesman Bill Burton. \n\nMeanwhile, McCain senior aide Matt McDonald said that the senator \"laughed\" when he heard the comment. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"78619\": \"Who is Douglas an adviser to?\"\n },\n {\n \"78620\": \"What is he trying to give credit to John McCain for?\"\n },\n {\n \"78621\": \"What is that?\"\n },\n {\n \"78622\": \"How did he say he contributed?\"\n },\n {\n \"78623\": \"What committee was he part of?\"\n },\n {\n \"78624\": \"What did that give him experience in?\"\n },\n {\n \"78625\": \"What id Al Gore try to take credit for?\"\n },\n {\n \"78626\": \"When?\"\n },\n {\n \"78627\": \"What was his job when he claimed this?\"\n },\n {\n \"78628\": \"What was he trying to become in 2000?\"\n },\n {\n \"78629\": \"How did he help with making the internet\"\n },\n {\n \"78630\": \"What did this statement create?\"\n },\n {\n \"78631\": \"What was happening when McCain called the economy strong?\"\n },\n {\n \"78632\": \"What did that overshadow?\"\n },\n {\n \"78633\": \"What did Obama call it?\"\n },\n {\n \"78634\": \"What part of the economy did McCain think were in good shape?\"\n },\n {\n \"78635\": \"Who is Bill Burton?\"\n },\n {\n \"78636\": \"Who is McCain's senior aide?\"\n },\n {\n \"78637\": \"how did he respond to Burton's comment?\"\n },\n {\n \"78638\": \"What does Holtz-Eakin think is the best invention?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"78619\",\n \"answer\": \"John McCain\"\n },\n {\n \"question_id\": \"78620\",\n \"answer\": \"the Blackberry\"\n },\n {\n \"question_id\": \"78621\",\n \"answer\": \"a mobile device\"\n },\n {\n \"question_id\": \"78622\",\n \"answer\": \"regulating the telecommunications industry\"\n },\n {\n \"question_id\": \"78623\",\n \"answer\": \"the Senate Commerce Committee\"\n },\n {\n \"question_id\": \"78624\",\n \"answer\": \"the economy\"\n },\n {\n \"question_id\": \"78625\",\n \"answer\": \"creating the internet\"\n },\n {\n \"question_id\": \"78626\",\n \"answer\": \"2000\"\n },\n {\n \"question_id\": \"78627\",\n \"answer\": \"Vice President\"\n },\n {\n \"question_id\": \"78628\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"78629\",\n \"answer\": \"with funding and research\"\n },\n {\n \"question_id\": \"78630\",\n \"answer\": \"controversy\"\n },\n {\n \"question_id\": \"78631\",\n \"answer\": \"a financial crisis\"\n },\n {\n \"question_id\": \"78632\",\n \"answer\": \"the claim that he invented the BlackBerry\"\n },\n {\n \"question_id\": \"78633\",\n \"answer\": \"preposterous\"\n },\n {\n \"question_id\": \"78634\",\n \"answer\": \"fundamentals\"\n },\n {\n \"question_id\": \"78635\",\n \"answer\": \"Obama campaign spokesman\"\n },\n {\n \"question_id\": \"78636\",\n \"answer\": \"Matt McDonald\"\n },\n {\n \"question_id\": \"78637\",\n \"answer\": \"he laughed\"\n },\n {\n \"question_id\": \"78638\",\n \"answer\": \"Telecommunications\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER NINE \n\nMEG GOES TO VANITY FAIR \n\n\"I do think it was the most fortunate thing in the world that those children should have the measles just now,\" said Meg, one April day, as she stood packing the 'go abroady' trunk in her room, surrounded by her sisters. \n\n\"And so nice of Annie Moffat not to forget her promise. A whole fortnight of fun will be regularly splendid,\" replied Jo, looking like a windmill as she folded skirts with her long arms. \n\n\"And such lovely weather, I'm so glad of that,\" added Beth, tidily sorting neck and hair ribbons in her best box, lent for the great occasion. \n\n\"I wish I was going to have a fine time and wear all these nice things,\" said Amy with her mouth full of pins, as she artistically replenished her sister's cushion. \n\n\"I wish you were all going, but as you can't, I shall keep my adventures to tell you when I come back. I'm sure it's the least I can do when you have been so kind, lending me things and helping me get ready,\" said Meg, glancing round the room at the very simple outfit, which seemed nearly perfect in their eyes. \n\n\"What did Mother give you out of the treasure box?\" asked Amy, who had not been present at the opening of a certain cedar chest in which Mrs. March kept a few relics of past splendor, as gifts for her girls when the proper time came. \n\n\"A pair of silk stockings, that pretty carved fan, and a lovely blue sash. I wanted the violet silk, but there isn't time to make it over, so I must be contented with my old tarlaton.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"12352\": \"Who is going away?\"\n },\n {\n \"12353\": \"When was she going?\"\n },\n {\n \"12354\": \"Who is she with?\"\n },\n {\n \"12355\": \"What are they doing?\"\n },\n {\n \"12356\": \"Who promised to take her somewhere?\"\n },\n {\n \"12357\": \"How long will she be gone for?\"\n },\n {\n \"12358\": \"Did her parents lend her anything?\"\n },\n {\n \"12359\": \"What did they lend her?\"\n },\n {\n \"12360\": \"Where were the items stored before being given to Meg?\"\n },\n {\n \"12361\": \"What did they call the chest?\"\n },\n {\n \"12362\": \"How was the climate for the trip?\"\n },\n {\n \"12363\": \"What was Amy repairing?\"\n },\n {\n \"12364\": \"How was Joe being useful?\"\n },\n {\n \"12365\": \"What did she want most?\"\n },\n {\n \"12366\": \"Why couldn't she have it?\"\n },\n {\n \"12367\": \"What did she take instead?\"\n },\n {\n \"12368\": \"Who was organizing ribbons?\"\n },\n {\n \"12369\": \"Were here things elegant?\"\n },\n {\n \"12370\": \"who was Mrs. March?\"\n },\n {\n \"12371\": \"What did one of the siblings lend her?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"12352\",\n \"answer\": \"Meg\"\n },\n {\n \"question_id\": \"12353\",\n \"answer\": \"April\"\n },\n {\n \"question_id\": \"12354\",\n \"answer\": \"Her sisters\"\n },\n {\n \"question_id\": \"12355\",\n \"answer\": \"packing\"\n },\n {\n \"question_id\": \"12356\",\n \"answer\": \"Annie Moffat\"\n },\n {\n \"question_id\": \"12357\",\n \"answer\": \"A fortnight\"\n },\n {\n \"question_id\": \"12358\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"12359\",\n \"answer\": \"Silk Stockings, a fan, and a sash\"\n },\n {\n \"question_id\": \"12360\",\n \"answer\": \"A cedar chest\"\n },\n {\n \"question_id\": \"12361\",\n \"answer\": \"the treasure box\"\n },\n {\n \"question_id\": \"12362\",\n \"answer\": \"lovely\"\n },\n {\n \"question_id\": \"12363\",\n \"answer\": \"a cushion\"\n },\n {\n \"question_id\": \"12364\",\n \"answer\": \"folding skirts\"\n },\n {\n \"question_id\": \"12365\",\n \"answer\": \"the violet silk\"\n },\n {\n \"question_id\": \"12366\",\n \"answer\": \"There wasn't time to make it over\"\n },\n {\n \"question_id\": \"12367\",\n \"answer\": \"her old tarleton\"\n },\n {\n \"question_id\": \"12368\",\n \"answer\": \"Beth\"\n },\n {\n \"question_id\": \"12369\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"12370\",\n \"answer\": \"their mother\"\n },\n {\n \"question_id\": \"12371\",\n \"answer\": \"a box\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- He is a superstar in Arab cinema and has acted alongside Hollywood names such as Sean Penn, Naomi Watts and Orlando Bloom in worldwide blockbusters. \n\nNow, acclaimed Egyptian movie star Khaled El Nabawy is raring to conquer new heights, starring in gripping drama \"The Citizen,\" his first lead role in a Hollywood film. \n\nThe movie, released last year, has a story line based on the September 11 attacks in the United States. El Nabawy's character, Ibrahim Jarrah, is a newly arrived immigrant from Lebanon, who finds himself wrongly accused of being involved in the terrorist attacks. \n\n\"The guy didn't do anything except he was infatuated by the American dream,\" says El Nabawy of his character in \"The Citizen.\" \n\n\"This is why he won the green card lottery but [it is] his bad luck that he arrived one day before 9/11 to New York. He loves America and he's educated, he is cultured, he is helpful and it's a great message through 'The Citizen' that gives hope. It talks about the cooperation that can happen instead of creating revenge between each other.\" \n\nSee also: 'Egypt's Brad Pitt' calls for people power in Africa \n\nThis is the third time in the Egyptian actor's career that he has landed a role in a major Hollywood production. His two previous outings include a smaller part in Ridley Scott's 2005 epic \"Kingdom of Heaven,\" while in 2010 El Nabawy played an Iraqi scientist in \"Fair Game,\" a thriller based on former CIA agent Valerie Plame Wilson's memoir \"Fair Game: My Life As A Spy, My Betrayal By The White House.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"77187\": \"What is Khaled El Nabawy's profession?\"\n },\n {\n \"77188\": \"Where is he from?\"\n },\n {\n \"77189\": \"Is he well known in the Arab world?\"\n },\n {\n \"77190\": \"Has he acted with any big stars in the past?\"\n },\n {\n \"77191\": \"Who is one of them?\"\n },\n {\n \"77192\": \"Who else?\"\n },\n {\n \"77193\": \"What new movie is he going to be in?\"\n },\n {\n \"77194\": \"When was it released?\"\n },\n {\n \"77195\": \"What is the name of the person he plays?\"\n },\n {\n \"77196\": \"Was he a terrorist?\"\n },\n {\n \"77197\": \"What do they say the character was infatuated with?\"\n },\n {\n \"77198\": \"How many big Hollywood movies has he been in?\"\n },\n {\n \"77199\": \"Name one?\"\n },\n {\n \"77200\": \"What year did that come out?\"\n },\n {\n \"77201\": \"What was another movie he was in?\"\n },\n {\n \"77202\": \"What was his character's nationality in that movie?\"\n },\n {\n \"77203\": \"What was his profession?\"\n },\n {\n \"77204\": \"Who was it based on?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"77187\",\n \"answer\": \"movie star\"\n },\n {\n \"question_id\": \"77188\",\n \"answer\": \"Egypt\"\n },\n {\n \"question_id\": \"77189\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"77190\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"77191\",\n \"answer\": \"Sean Penn\"\n },\n {\n \"question_id\": \"77192\",\n \"answer\": \"Naomi Watts\"\n },\n {\n \"question_id\": \"77193\",\n \"answer\": \"The Citizen,\\\"\"\n },\n {\n \"question_id\": \"77194\",\n \"answer\": \"last year\"\n },\n {\n \"question_id\": \"77195\",\n \"answer\": \"Ibrahim Jarrah\"\n },\n {\n \"question_id\": \"77196\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"77197\",\n \"answer\": \"the American dream\"\n },\n {\n \"question_id\": \"77198\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"77199\",\n \"answer\": \"Kingdom of Heaven\"\n },\n {\n \"question_id\": \"77200\",\n \"answer\": \"2005\"\n },\n {\n \"question_id\": \"77201\",\n \"answer\": \"Fair Game\"\n },\n {\n \"question_id\": \"77202\",\n \"answer\": \"Iraqi\"\n },\n {\n \"question_id\": \"77203\",\n \"answer\": \"scientist\"\n },\n {\n \"question_id\": \"77204\",\n \"answer\": \"Valerie Plame Wilson\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- It's called the Terrorist Identities Datamart Environment, and weeks before authorities say he got on a plane with a bomb, Umar Farouk AbdulMutallab was in it. \n\nThe vast government databank, known as TIDE, is administered by the FBI's Terrorist Screening Center. It contains information about hundreds of thousands of people, the majority of them foreign nationals, who are suspected of having terrorist leanings. \n\nAn FBI official said AbdulMutallab was included in TIDE after his father warned the U.S. Embassy in Nigeria of his son's hard-line beliefs and possible ties to militant Islamists. \n\nTo understand how he could have been under the government's scrutiny and still make it onto a U.S.-bound plane with an explosive, you have to understand the way the government's watch list system works. TIDE is just the start. \n\nThe FBI uses the raw information contained in the TIDE databank to determine whether to put the subject onto the government's terror watch list, known as the Terrorism Screening Data Base. That list contains the names and aliases of about 400,000 people, but AbdulMutallab didn't make the cut. \n\nAccording to Chad Kolton, a spokesman for the FBI's Terror Screening Center, there wasn't enough hard evidence to back up AbdulMutallab's father's fears, and so he wasn't placed on the terror list. \n\nThe bureau's own Web site spells out the criteria for inclusion in the screening database, saying that \"only individuals who are known or reasonably suspected to be or have been engaged in conduct constituting, in preparation for, in aid of, or related to terrorism are included.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"30232\": \"was there hard evidence against him?\"\n },\n {\n \"30233\": \"what does TIDE stand for?\"\n },\n {\n \"30234\": \"is TIDE just the start?\"\n },\n {\n \"30235\": \"who uses the information in TIDE?\"\n },\n {\n \"30236\": \"who uses the information in TIDE?\"\n },\n {\n \"30237\": \"Which FBI department administers it?\"\n },\n {\n \"30238\": \"Did the suspect get onto a plane?\"\n },\n {\n \"30239\": \"where was it going?\"\n },\n {\n \"30240\": \"who did the father warn?\"\n },\n {\n \"30241\": \"where?\"\n },\n {\n \"30242\": \"how many people does TIDE have information on?\"\n },\n {\n \"30243\": \"what is the government watchlist known as?\"\n },\n {\n \"30244\": \"did he end up on the list?\"\n },\n {\n \"30245\": \"what kind of info does FBI use to determine who gets on the list?\"\n },\n {\n \"30246\": \"who is the FBI spokesman mentioned?\"\n },\n {\n \"30247\": \"what did he get on the plane with?\"\n },\n {\n \"30248\": \"what is his full name?\"\n },\n {\n \"30249\": \"what did his father suspect he had ties with?\"\n },\n {\n \"30250\": \"what did he say about his beliefs?\"\n },\n {\n \"30251\": \"does the list also contain aliases?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"30232\",\n \"answer\": \"not enough\"\n },\n {\n \"question_id\": \"30233\",\n \"answer\": \"Terrorist Identities Datamart Environment,\"\n },\n {\n \"question_id\": \"30234\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"30235\",\n \"answer\": \"FBI\"\n },\n {\n \"question_id\": \"30236\",\n \"answer\": \"FBI\"\n },\n {\n \"question_id\": \"30237\",\n \"answer\": \"Terror Screening Center,\"\n },\n {\n \"question_id\": \"30238\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"30239\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"30240\",\n \"answer\": \"the U.S. Embassy\"\n },\n {\n \"question_id\": \"30241\",\n \"answer\": \"Nigeria\"\n },\n {\n \"question_id\": \"30242\",\n \"answer\": \"400,000\"\n },\n {\n \"question_id\": \"30243\",\n \"answer\": \"Terrorism Screening Data Bas\"\n },\n {\n \"question_id\": \"30244\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"30245\",\n \"answer\": \"suspected to be or have been engaged in conduct constituting\"\n },\n {\n \"question_id\": \"30246\",\n \"answer\": \"Chad Kolton\"\n },\n {\n \"question_id\": \"30247\",\n \"answer\": \"a bomb\"\n },\n {\n \"question_id\": \"30248\",\n \"answer\": \"Umar Farouk AbdulMutallab\"\n },\n {\n \"question_id\": \"30249\",\n \"answer\": \"militant Islamists\"\n },\n {\n \"question_id\": \"30250\",\n \"answer\": \"hard-line\"\n },\n {\n \"question_id\": \"30251\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n David Moore taught science at the City School. He needed some expensive books, and so he bought them. He put the books in his car in a quiet street. Then he went to other shops to buy something else. At six he came back to the car. One door was open - and the books were not there! David drove home to Fry Road. On Friday people read this in the newspaper: Books: Have you any old books? I buy old and modern books. Open all day on Saturdays. David Moore, 26 Fry Road. David stayed at home on Saturday. The first man came at eight. David took him to the kitchen. At half past nine another man arrived. He had a bag under his arm. \"Mr Moore?\" the man asked. \"That's right,\" David said. \"Can I help you?\" \"I've got some good books. You buy books, don't you?\" \"Yes. Bring them in. Let me have a look.\" Soon the books were on the dining-table. \"Come in now,\" David called, \"and bring the list.\" A policeman came into the dining-room. He read the names on the books and the names on the list in his hand. They were the same. \"Come with me, sir,\" the policeman said to the man.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"20529\": \"What does David Moore do?\"\n },\n {\n \"20530\": \"Where?\"\n },\n {\n \"20531\": \"What subject?\"\n },\n {\n \"20532\": \"Where does he live?\"\n },\n {\n \"20533\": \"What is the house number?\"\n },\n {\n \"20534\": \"What did he need for his class?\"\n },\n {\n \"20535\": \"How did he get them?\"\n },\n {\n \"20536\": \"Did he buy anything else?\"\n },\n {\n \"20537\": \"Did he carry the books around?\"\n },\n {\n \"20538\": \"What did he do with them?\"\n },\n {\n \"20539\": \"Did they remain there?\"\n },\n {\n \"20540\": \"What happened to them?\"\n },\n {\n \"20541\": \"When did he realize they were gone?\"\n },\n {\n \"20542\": \"What did he do when he discovered this?\"\n },\n {\n \"20543\": \"What did people read on Friday?\"\n },\n {\n \"20544\": \"What person was in the ad?\"\n },\n {\n \"20545\": \"What was the ad trying to sell?\"\n },\n {\n \"20546\": \"When?\"\n },\n {\n \"20547\": \"Where?\"\n },\n {\n \"20548\": \"Was anyone arrested for the crime?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"20529\",\n \"answer\": \"teaches\"\n },\n {\n \"question_id\": \"20530\",\n \"answer\": \"at the City School\"\n },\n {\n \"question_id\": \"20531\",\n \"answer\": \"science\"\n },\n {\n \"question_id\": \"20532\",\n \"answer\": \"Fry Road\"\n },\n {\n \"question_id\": \"20533\",\n \"answer\": \"26\"\n },\n {\n \"question_id\": \"20534\",\n \"answer\": \"books\"\n },\n {\n \"question_id\": \"20535\",\n \"answer\": \"he bought them\"\n },\n {\n \"question_id\": \"20536\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"20537\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"20538\",\n \"answer\": \"put them in his car\"\n },\n {\n \"question_id\": \"20539\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"20540\",\n \"answer\": \"they were stolen\"\n },\n {\n \"question_id\": \"20541\",\n \"answer\": \"At six\"\n },\n {\n \"question_id\": \"20542\",\n \"answer\": \"drove home\"\n },\n {\n \"question_id\": \"20543\",\n \"answer\": \"an ad in the newspaper\"\n },\n {\n \"question_id\": \"20544\",\n \"answer\": \"David\"\n },\n {\n \"question_id\": \"20545\",\n \"answer\": \"it was to buy books\"\n },\n {\n \"question_id\": \"20546\",\n \"answer\": \"Saturdays\"\n },\n {\n \"question_id\": \"20547\",\n \"answer\": \"26 Fry Road\"\n },\n {\n \"question_id\": \"20548\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XII \n\nThe sun had begun to cast long shadows the afternoon of Helen's hunt for Jonathan, when the borderman, accompanied by Wetzel, led a string of horses along the base of the very mountain she had ascended. \n\n\"Last night's job was a good one, I ain't gainsayin'; but the redskin I wanted got away,\" Wetzel said gloomily. \n\n\"He's safe now as a squirrel in a hole. I saw him dartin' among the trees with his white eagle feathers stickin' up like a buck's flag,\" replied Jonathan. \"He can run. If I'd only had my rifle loaded! But I'm not sure he was that arrow-shootin' Shawnee.\" \n\n\"It was him. I saw his bow. We ought'er taken more time an' picked him out,\" Wetzel replied, shaking his head gravely. \"Though mebbe that'd been useless. I think he was hidin'. He's precious shy of his red skin. I've been after him these ten year, an' never ketched him nappin' yet. We'd have done much toward snuffin' out Legget an' his gang if we'd winged the Shawnee.\" \n\n\"He left a plain trail.\" \n\n\"One of his tricks. He's slicker on a trail than any other Injun on the border, unless mebbe it's old Wingenund, the Huron. This Shawnee'd lead us many a mile for nuthin', if we'd stick to his trail. I'm long ago used to him. He's doubled like an old fox, run harder'n a skeered fawn, an', if needs be, he'll lay low as cunnin' buck. I calkilate once over the mountain, he's made a bee-line east. We'll go on with the hosses, an' then strike across country to find his trail.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"37877\": \"Who was Helen looking for?\"\n },\n {\n \"37878\": \"Who was Wetzel hunting?\"\n },\n {\n \"37879\": \"Did he catch them?\"\n },\n {\n \"37880\": \"How long had Wetzel been hunting him?\"\n },\n {\n \"37881\": \"What tribe did they think he was?\"\n },\n {\n \"37882\": \"What weapon did the Native have?\"\n },\n {\n \"37883\": \"What weapon did Jonathon have?\"\n },\n {\n \"37884\": \"Was he prepared to shoot?\"\n },\n {\n \"37885\": \"How so?\"\n },\n {\n \"37886\": \"Did the Native leave a trail?\"\n },\n {\n \"37887\": \"Did Wetzel think it was a trick?\"\n },\n {\n \"37888\": \"Has Wetzel encountered a trickier Native?\"\n },\n {\n \"37889\": \"Who?\"\n },\n {\n \"37890\": \"What was his animal nickname?\"\n },\n {\n \"37891\": \"What animals did Wetzel compare him to?\"\n },\n {\n \"37892\": \"How long had Wetzel chased him?\"\n },\n {\n \"37893\": \"Which direction did Wetzel think he went?\"\n },\n {\n \"37894\": \"Over which landform?\"\n },\n {\n \"37895\": \"What time of day was it when the men were discussing?\"\n },\n {\n \"37896\": \"What was the borderman's name?\"\n },\n {\n \"37897\": \"And who was looking for him?\"\n },\n {\n \"37898\": \"Were they near the same mountain?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"37877\",\n \"answer\": \"Jonathan\"\n },\n {\n \"question_id\": \"37878\",\n \"answer\": \"a redskin\"\n },\n {\n \"question_id\": \"37879\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"37880\",\n \"answer\": \"ten years\"\n },\n {\n \"question_id\": \"37881\",\n \"answer\": \"Shawnee\"\n },\n {\n \"question_id\": \"37882\",\n \"answer\": \"bow and arrow\"\n },\n {\n \"question_id\": \"37883\",\n \"answer\": \"a rifle\"\n },\n {\n \"question_id\": \"37884\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"37885\",\n \"answer\": \"rifle wasn't loaded\"\n },\n {\n \"question_id\": \"37886\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"37887\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"37888\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"37889\",\n \"answer\": \"Wingenund\"\n },\n {\n \"question_id\": \"37890\",\n \"answer\": \"the Huron\"\n },\n {\n \"question_id\": \"37891\",\n \"answer\": \"a fox, a fawn, and a buck\"\n },\n {\n \"question_id\": \"37892\",\n \"answer\": \"many a mile\"\n },\n {\n \"question_id\": \"37893\",\n \"answer\": \"east\"\n },\n {\n \"question_id\": \"37894\",\n \"answer\": \"a mountain\"\n },\n {\n \"question_id\": \"37895\",\n \"answer\": \"late afternoon\"\n },\n {\n \"question_id\": \"37896\",\n \"answer\": \"Jonathon\"\n },\n {\n \"question_id\": \"37897\",\n \"answer\": \"Helen\"\n },\n {\n \"question_id\": \"37898\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Hampshire (, ; abbreviated Hants) is a county on the southern coast of England in the United Kingdom. The county town of Hampshire is Winchester, the former capital city of England. Hampshire is the most populous ceremonial county in the United Kingdom (excluding the metropolitan counties) with almost half of the county's population living within the South Hampshire conurbation which includes the cities of Southampton and Portsmouth. The larger South Hampshire metropolitan area has a population of 1,547,000. Hampshire is notable for housing the birthplaces of the Royal Navy, British Army, and Royal Air Force. It is bordered by Dorset to the west, Wiltshire to the north-west, Berkshire to the north, Surrey to the north-east, and West Sussex to the east. The southern boundary is the coastline of the English Channel and the Solent, facing the Isle of Wight. \n\nHampshire is the largest county in South East England and remains the third largest shire county in the United Kingdom despite losing more land than any other English county in all contemporary boundary changes. At its greatest size in 1890, Hampshire was the fifth-largest county in England. It now has an overall area of , and measures about east–west and north–south. \n\nHampshire's tourist attractions include many seaside resorts and two national parks: the New Forest and the South Downs (together covering some 45% of the county). Hampshire has a long maritime history, and two of Europe's largest ports, Portsmouth and Southampton, lie on its coast. The county is famed as home of writers Jane Austen and Charles Dickens, as well as the birthplace of engineer Isambard Kingdom Brunel.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"89768\": \"how many different types of tourist attractions are listed ?\"\n },\n {\n \"89769\": \"what are the national parks called?\"\n },\n {\n \"89770\": \"what's the short version of the name?\"\n },\n {\n \"89771\": \"and which coast is it on?\"\n },\n {\n \"89772\": \"is it in Scotland\"\n },\n {\n \"89773\": \"It's the third largest what ?\"\n },\n {\n \"89774\": \"what covers 45% of it's area?\"\n },\n {\n \"89775\": \"What town is the old English capital?\"\n },\n {\n \"89776\": \"how many military organisations started here?\"\n },\n {\n \"89777\": \"has it got smaller over time?\"\n },\n {\n \"89778\": \"what was the cause?\"\n },\n {\n \"89779\": \"which 2 big ports are here?\"\n },\n {\n \"89780\": \"what counties border it?\"\n },\n {\n \"89781\": \"when was Hampshire at it's largest?\"\n },\n {\n \"89782\": \"how many famous people lived here?\"\n },\n {\n \"89783\": \"what work did Brunel do?\"\n },\n {\n \"89784\": \"which sea faces the ISle of Wight?\"\n },\n {\n \"89785\": \"in 1890 was it the largest county in England?\"\n },\n {\n \"89786\": \"What type of history does the county have?\"\n },\n {\n \"89787\": \"what do half the people live within?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"89768\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"89769\",\n \"answer\": \"the New Forest and the South Downs\"\n },\n {\n \"question_id\": \"89770\",\n \"answer\": \"Hants\"\n },\n {\n \"question_id\": \"89771\",\n \"answer\": \"southern\"\n },\n {\n \"question_id\": \"89772\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"89773\",\n \"answer\": \"shire county\"\n },\n {\n \"question_id\": \"89774\",\n \"answer\": \"the two national parks\"\n },\n {\n \"question_id\": \"89775\",\n \"answer\": \"Winchester\"\n },\n {\n \"question_id\": \"89776\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"89777\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"89778\",\n \"answer\": \"contemporary boundary changes\"\n },\n {\n \"question_id\": \"89779\",\n \"answer\": \"Portsmouth and Southampton\"\n },\n {\n \"question_id\": \"89780\",\n \"answer\": \"Dorset , Wiltshire, Berkshire, Surrey, and West Sussex\"\n },\n {\n \"question_id\": \"89781\",\n \"answer\": \"1890\"\n },\n {\n \"question_id\": \"89782\",\n \"answer\": \"home to 2 and birthplace of 1\"\n },\n {\n \"question_id\": \"89783\",\n \"answer\": \"engineering\"\n },\n {\n \"question_id\": \"89784\",\n \"answer\": \"English Channel and the Solent\"\n },\n {\n \"question_id\": \"89785\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"89786\",\n \"answer\": \"maritime\"\n },\n {\n \"question_id\": \"89787\",\n \"answer\": \"the South Hampshire conurbation\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n There once was a zoo worker named Charlie. He really liked his job that allowed his to meet new people every day and take care of zoo animals. One day, Charlie showed up at the zoo that he worked at and saw that a turtle had escaped! He quickly picked up the radio and told all of the other workers to look out for the missing Turtle named Brian. Because of this, the zoo had to close down for the whole day! They were trying so hard, but still could not find any clue to where the turtle went. Finally, a girl named Samantha went on the radio and said that she found Brian eating lettuce in the Polar Bear cage. She also told everyone that the Polar Bears were protecting Brian! For hours, the zoo team tried to find a way to get Brian out of the cage without getting hurt themselves. Charlie finally had an idea. He was going to take a stuffed turtle from the gift shop, sneak into the cage, put the Polar Bears to sleep for a little bit, and then place the stuffed turtle where Brian was eating his lettuce. Charlie's plan worked, but the Polar Bears woke up and weren't happy! They took the stuffed turtle and ripped it up! Samantha went to find some fish to make them happy again as Charlie told Brian the turtle to never run off again.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"91380\": \"What escaped?\"\n },\n {\n \"91381\": \"what was he called?\"\n },\n {\n \"91382\": \"what happened because of that?\"\n },\n {\n \"91383\": \"who found him?\"\n },\n {\n \"91384\": \"where did she find him?\"\n },\n {\n \"91385\": \"what was he doing?\"\n },\n {\n \"91386\": \"were the polar bears being mean to him?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"91380\",\n \"answer\": \"turtle\"\n },\n {\n \"question_id\": \"91381\",\n \"answer\": \"Brian\"\n },\n {\n \"question_id\": \"91382\",\n \"answer\": \"zoo had to close\"\n },\n {\n \"question_id\": \"91383\",\n \"answer\": \"Samantha\"\n },\n {\n \"question_id\": \"91384\",\n \"answer\": \"Polar Bear cage\"\n },\n {\n \"question_id\": \"91385\",\n \"answer\": \"eating lettuce\"\n },\n {\n \"question_id\": \"91386\",\n \"answer\": \"no\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Celebrities have become a powerful influence on some people because of their social position and their economic situation. First, some people admire and imitate stars because they allow themselves to be influenced by the media. Television, radio, and magazines invade the lives of audience with a variety of shows, information, and publications about stars and their lives. For instance, Britney Spears has become the target of paparazzi . In May, Britney appeared at the front page of the most popular magazines revealing that she married her best friend in Vegas, Nevada. Media also invade stars' lives because reporters know they can get high profits from readers who buy and follow their favorite artists' news. Second, some mad audiences imitate their celebrities for their lack of confidence. Some people who are shy and lack personality may find that imitating others will cause a good impression. For example, my cousin Jenny, who lacks a social life because of her introverted personality, believes that acting and dressing like Jennifer Lopez will make her popular in high school. Finally, several fans of stars imitate them because of peer pressure. Since my niece's girl friends formed an Antonio Banderas' fan club, she had also joined the group. Although she wasn't a huge fan of his, now she collects most of Banderas' possessions. In fact, when I asked Arianna, my niece, why she was part of Banderas' fan club, she replied with a doubtful tone that she did not wish to be rejected by the other teens. In conclusion, it is true that celebrities play spectacular roles in their performances in Hollywood, which entertains many people all over the world; however, modern celebrities influence the audience to the point where their fans admire and try to imitate their lives.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"80749\": \"How many celebrities are mentioned?\"\n },\n {\n \"80750\": \"Who does Jenny want to be like?\"\n },\n {\n \"80751\": \"Is Jenny outgoing?\"\n },\n {\n \"80752\": \"Is Jenny related to the author of the article?\"\n },\n {\n \"80753\": \"Why did the author's niece join an actor's fan club?\"\n },\n {\n \"80754\": \"Because one of her friends was in it?\"\n },\n {\n \"80755\": \"Has she always been a follower of this actor?\"\n },\n {\n \"80756\": \"Is she now?\"\n },\n {\n \"80757\": \"What two factors allow celebrities to influence people?\"\n },\n {\n \"80758\": \"Does the media play a part?\"\n },\n {\n \"80759\": \"Are astronauts listed in the article as an influencial group?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"80749\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"80750\",\n \"answer\": \"Jennifer Lopez\"\n },\n {\n \"question_id\": \"80751\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"80752\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"80753\",\n \"answer\": \"peer pressure\"\n },\n {\n \"question_id\": \"80754\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"80755\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"80756\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"80757\",\n \"answer\": \"social position and their economic situation\"\n },\n {\n \"question_id\": \"80758\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"80759\",\n \"answer\": \"no\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Last June, Glen Campbell stunned fans when he revealed in a press release that he was suffering from Alzheimer's disease. It was not an easy decision to go public with his private struggle, but his family felt it was a decision that needed to be made. \n\n\"The main thing we were concerned about was during shows he would forget a line or get a little confused,\" says Campbell's daughter, Ashley. \"People would think, 'Is he drunk?' Is he doing drugs again?' So we didn't want people to get the wrong impression.\" \n\nBut an interesting thing happened after the Alzheimer's announcement. Instead of fading off into the sunset like a forgotten icon, the 75-year-old entertainer has been catapulted back into the spotlight -- and the music industry can't seem to shower him with enough accolades. \n\nIn November, he was the subject of a star-studded tribute at the CMA Awards show, and on Sunday night, he'll pick up a Lifetime Achievement trophy at the 54th annual Grammy Awards. \n\nBehind the scenes, it's been somewhat of a standoff between the CMAs and the Grammys, with each telecast vying for bragging rights to have Campbell perform. But there's nothing like the pull of the Grammys -- especially when you're a five-time Grammy winner. \n\nAt the CMAs, Campbell beamed from the audience while Keith Urban, Brad Paisley and Vince Gill serenaded him with his biggest hits, but the Grammys will be a different story. Campbell himself will take center stage for \"Rhinestone Cowboy,\" flanked by Blake Shelton, The Band Perry and his own band -- which features three of his grown children. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"48311\": \"Who is this article about?\"\n },\n {\n \"48312\": \"What was his occupation?\"\n },\n {\n \"48313\": \"How old is he?\"\n },\n {\n \"48314\": \"How many Grammys has he won?\"\n },\n {\n \"48315\": \"What song will he sing at the Grammys?\"\n },\n {\n \"48316\": \"How many of his kids are in his backup group?\"\n },\n {\n \"48317\": \"What award will he get there?\"\n },\n {\n \"48318\": \"What disease does he have?\"\n },\n {\n \"48319\": \"Does he display any symptoms?\"\n },\n {\n \"48320\": \"Name one of them.\"\n },\n {\n \"48321\": \"What did his fans think when that happened?\"\n },\n {\n \"48322\": \"Were they expecting his revelation?\"\n },\n {\n \"48323\": \"How did they react?\"\n },\n {\n \"48324\": \"How many people will sing for him at the CMAs?\"\n },\n {\n \"48325\": \"Who are they?\"\n },\n {\n \"48326\": \"When was that?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"48311\",\n \"answer\": \"Glen Campbell\"\n },\n {\n \"question_id\": \"48312\",\n \"answer\": \"a music entertainer\"\n },\n {\n \"question_id\": \"48313\",\n \"answer\": \"75\"\n },\n {\n \"question_id\": \"48314\",\n \"answer\": \"Five\"\n },\n {\n \"question_id\": \"48315\",\n \"answer\": \"\\\"Rhinestone Cowboy,\\\"\"\n },\n {\n \"question_id\": \"48316\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"48317\",\n \"answer\": \"Lifetime Achievement\"\n },\n {\n \"question_id\": \"48318\",\n \"answer\": \"Last June, Glen Campbell stunned fans when he revealed in a press release that he was suffering from Alzheimer's disease.\"\n },\n {\n \"question_id\": \"48319\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48320\",\n \"answer\": \"he forgets lines\"\n },\n {\n \"question_id\": \"48321\",\n \"answer\": \"that he might be drunk\"\n },\n {\n \"question_id\": \"48322\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"48323\",\n \"answer\": \"they were stunned\"\n },\n {\n \"question_id\": \"48324\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"48325\",\n \"answer\": \"At the CMAs, Campbell beamed from the audience while Keith Urban, Brad Paisley and Vince Gill serenaded him with his biggest hit\"\n },\n {\n \"question_id\": \"48326\",\n \"answer\": \"n November, he was the subject of a star-studded tribute at the CMA Awards show,\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Chapter XLVI \n\nShowing How Mrs. Burton Fought Her Battle \n\n\n\n\"Florence, I have been to Bolton Street, and I have seen Lady Ongar.\" Those were the first words which Cecilia Burton spoke to her sister-in-law, when she found Florence in the drawing-room on her return from the visit which she had made to the countess. Florence had still before her the desk on which she had been writing; and the letter in its envelope, addressed to Mrs. Clavering, but as yet unclosed, was lying beneath her blotting-paper. Florence, who had never dreamed of such an undertaking on Cecilia's part, was astounded at the tidings which she heard. Of course her first effort was made to learn from her sister's tone and countenance what had been the result of this interview; but she could learn nothing from either. There was no radiance as of joy in Mrs. Burton's face, nor was there written there anything of despair. Her voice was serious and almost solemn, and her manner was very grave, but that was all. \"You have seen her?\" said Florence, rising up from her chair. \n\n\"Yes, dear, I may have done wrong. Theodore, I know, will say so. But I thought it best to try to learn the truth before you wrote to Mrs. Clavering.\" \n\n\"And what is the truth? But perhaps you have not learned it.\" \n\n\"I think I have learned all that she could tell me. She has been very frank.\" \n\n\"Well, what is the truth? Do not suppose, dearest, that I can not bear it. I hope for nothing now. I only want to have this settled, that I may be at rest.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"64296\": \"Who is Cecilia's sister in law?\"\n },\n {\n \"64297\": \"Where was Florence?\"\n },\n {\n \"64298\": \"Did Cecilia see the Queen?\"\n },\n {\n \"64299\": \"Who did she visit?\"\n },\n {\n \"64300\": \"Who did Cecilia go to see?\"\n },\n {\n \"64301\": \"Where?\"\n },\n {\n \"64302\": \"What had Florence been doing when Cecilia showed up?\"\n },\n {\n \"64303\": \"What was she writing?\"\n },\n {\n \"64304\": \"To whom?\"\n },\n {\n \"64305\": \"Was the letter out in the open?\"\n },\n {\n \"64306\": \"Where was it?\"\n },\n {\n \"64307\": \"Was it in a closed envelope?\"\n },\n {\n \"64308\": \"Was Florence surprised at what Cecilia had done?\"\n },\n {\n \"64309\": \"Was it obvious to her what happened in the meeting?\"\n },\n {\n \"64310\": \"Was Cecilia showing happiness?\"\n },\n {\n \"64311\": \"Sadness?\"\n },\n {\n \"64312\": \"Was Florence sitting or standing when Cecilia entered the room?\"\n },\n {\n \"64313\": \"Did she stand up?\"\n },\n {\n \"64314\": \"Why did she go to see Lady Ongar?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"64296\",\n \"answer\": \"\\\"Florence,\"\n },\n {\n \"question_id\": \"64297\",\n \"answer\": \"the drawing-room\"\n },\n {\n \"question_id\": \"64298\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"64299\",\n \"answer\": \"Florence\"\n },\n {\n \"question_id\": \"64300\",\n \"answer\": \"Lady Onga\"\n },\n {\n \"question_id\": \"64301\",\n \"answer\": \"Bolton Street\"\n },\n {\n \"question_id\": \"64302\",\n \"answer\": \"writing\"\n },\n {\n \"question_id\": \"64303\",\n \"answer\": \"a letter\"\n },\n {\n \"question_id\": \"64304\",\n \"answer\": \"Mrs. Clavering\"\n },\n {\n \"question_id\": \"64305\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"64306\",\n \"answer\": \"lying beneath her blotting-paper.\"\n },\n {\n \"question_id\": \"64307\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"64308\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"64309\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"64310\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"64311\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"64312\",\n \"answer\": \"sitting\"\n },\n {\n \"question_id\": \"64313\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"64314\",\n \"answer\": \"to learn the truth>?\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n He may not have an \"S\" across his chest but this dog is most certainly a hero. \n\nHarley, who was rescued from a puppy mill four years ago, was named the American Humane Association's 2015 American Hero Dog. Harley, who is missing an eye and has other medical issues from his time at the mill, is now a \"spokes-dog\" against puppy mills. He serves as the adorable furry face of the\"Harley to the Rescue\"campaign, which raises funds for the National Dog Mill Rescue, according to a press release. \n\nThe pup was rescued back in 2011 and adopted by Rudi and her husband, Dan. \"It was just four years ago that he was pulled from the cage in the puppy mill and left to die,\" Harley's owner, Rudi, said during the awards show at the Beverly Hilton Hotel in Los Angeles this past weekend, according to Today. com. \"We never would have ever thought he would live this long and make such a difference for so many puppies. \" \n\nThe dog was one of eight finalists up for the American Hero Dog and was chosen as the winner through public votes. The finalists all won $ 1,500 to be donated to one of American Humane Association' s charity partners, with Harley receiving another $ 5 ,000 to go toward his charity partner, New Leash On Life. \n\nAccording to the release, Harley spent 10 years at the puppy mill, and endured rough treatment there, which led to his many medical issues. He lost his eye as a result of his cage being power-washed with him inside. \n\nThe dog isn't just the face of his campaign, he also goes on rescue missions and makes public appearances at events and schools to raise awareness for puppy mills. \n\nThis incredible work is all due to the dog' s fighting spirit. That spirit is allowing him now to be the voice for dogs who cannot speak for themselves and give everybody hope that tomorrow's going to be a better day.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"72458\": \"Who is the hero dog?\"\n },\n {\n \"72459\": \"when was he rescued?\"\n },\n {\n \"72460\": \"from where?\"\n },\n {\n \"72461\": \"when was he named a hero?\"\n },\n {\n \"72462\": \"who owns Harley now?\"\n },\n {\n \"72463\": \"how many dogs were up for the award?\"\n },\n {\n \"72464\": \"how much did Harley win?\"\n },\n {\n \"72465\": \"was it for himslef or for charity?\"\n },\n {\n \"72466\": \"is he missing an eye?\"\n },\n {\n \"72467\": \"does he have other issues?\"\n },\n {\n \"72468\": \"what is the name of the campaign he is a part of?\"\n },\n {\n \"72469\": \"how long did Harley live at the puppy mill?\"\n },\n {\n \"72470\": \"where does he make appearances?\"\n },\n {\n \"72471\": \"what is his success attributed to?\"\n },\n {\n \"72472\": \"who is he the voice for now?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"72458\",\n \"answer\": \"Harley\"\n },\n {\n \"question_id\": \"72459\",\n \"answer\": \"in 2011\"\n },\n {\n \"question_id\": \"72460\",\n \"answer\": \"from a mill\"\n },\n {\n \"question_id\": \"72461\",\n \"answer\": \"2015\"\n },\n {\n \"question_id\": \"72462\",\n \"answer\": \"Rudi\"\n },\n {\n \"question_id\": \"72463\",\n \"answer\": \"eight\"\n },\n {\n \"question_id\": \"72464\",\n \"answer\": \"$6,500\"\n },\n {\n \"question_id\": \"72465\",\n \"answer\": \"charity\"\n },\n {\n \"question_id\": \"72466\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"72467\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"72468\",\n \"answer\": \"\\\"Harley to the Rescue\\\"\"\n },\n {\n \"question_id\": \"72469\",\n \"answer\": \"10 years\"\n },\n {\n \"question_id\": \"72470\",\n \"answer\": \"at schools\"\n },\n {\n \"question_id\": \"72471\",\n \"answer\": \"his fighting spirit\"\n },\n {\n \"question_id\": \"72472\",\n \"answer\": \"for dogs who cannot speak for themselves\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XX \n\nA LONG CHASE BEGUN \n\nAs they journeyed down the Hudson the boys and Martin Harris scanned the river eagerly for some sign of the _Flyaway_. \n\n\"It's ten to one she put down a pretty good distance,\" remarked Dick. \"They wouldn't bring Dora over here unless they were bound for New York or some other place as far or further.\" \n\n\"I believe you,\" said Tom. \"But she may be delayed, and if what Harris says is true the _Searchlight_ ought to make better time than Baxter's craft.\" \n\nSeveral miles were covered, when, Sam, who had just come up from the cabin, called attention to a farmer who was ferrying a load of hay across the river. \n\n\"If he's been at that sort of work all day he may know something of the _Flyaway_,\" he suggested. \n\n\"We'll hail him, anyway,\" said Tom. \"It won't do any harm, providing we don't lose any time.\" \n\nSo the farmer was hailed and asked if he had seen anything of the craft. \n\n\"Waal now, I jest guess I did,\" he replied. \"They war havin' great times on board of her--a takin' care of that crazy gal.\" \n\n\"A crazy girl!\" cried Dick. \"Who said she was crazy?\" \n\n\"One of the young men. He said she was his sister and had escaped from some asylum. She called to me to help her. But I don't want nuthin' to do with crazy gals. My wife's cousin was out of his head and he cut up high jinks around the house, a-threatenin' folks with a butcher knife.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"63423\": \"what boat are they searching for?\"\n },\n {\n \"63424\": \"what river were they on?\"\n },\n {\n \"63425\": \"did they think they were far behind?\"\n },\n {\n \"63426\": \"who did they see on the river?\"\n },\n {\n \"63427\": \"what was he doing?\"\n },\n {\n \"63428\": \"how long had he beebnat it?\"\n },\n {\n \"63429\": \"did they think he had seen the boat?\"\n },\n {\n \"63430\": \"did they ask him?\"\n },\n {\n \"63431\": \"had he seen it?\"\n },\n {\n \"63432\": \"what did they tell him was wrong with Dora?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"63423\",\n \"answer\": \"the Flyaway\"\n },\n {\n \"question_id\": \"63424\",\n \"answer\": \"the Hudson\"\n },\n {\n \"question_id\": \"63425\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"63426\",\n \"answer\": \"a farmer\"\n },\n {\n \"question_id\": \"63427\",\n \"answer\": \"ferrying a load of hay\"\n },\n {\n \"question_id\": \"63428\",\n \"answer\": \"all day\"\n },\n {\n \"question_id\": \"63429\",\n \"answer\": \"They believed it was a possibility\"\n },\n {\n \"question_id\": \"63430\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"63431\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"63432\",\n \"answer\": \"unknown\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER LII. \n\nSHOWING HOW THINGS WENT ON AT NONINGSBY. \n\nYes, Lady Staveley had known it before. She had given a fairly correct guess at the state of her daughter's affections, though she had not perhaps acknowledged to herself the intensity of her daughter's feelings. But the fact might not have mattered if it had never been told. Madeline might have overcome this love for Mr. Graham, and all might have been well if she had never mentioned it. But now the mischief was done. She had acknowledged to her mother,--and, which was perhaps worse, she had acknowledged to herself,--that her heart was gone, and Lady Staveley saw no cure for the evil. Had this happened but a few hours earlier she would have spoken with much less of encouragement to Peregrine Orme. \n\nAnd Felix Graham was not only in the house, but was to remain there for yet a while longer, spending a very considerable portion of his time in the drawing-room. He was to come down on this very day at three o'clock, after an early dinner, and on the next day he was to be promoted to the dining-room. As a son-in-law he was quite ineligible. He had, as Lady Staveley understood, no private fortune, and he belonged to a profession which he would not follow in the only way by which it was possible to earn an income by it. Such being the case, her daughter, whom of all girls she knew to be the most retiring, the least likely to speak of such feelings unless driven to it by great stress,--her daughter had positively declared to her that she was in love with this man! Could anything be more hopeless? Could any position be more trying? \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"82822\": \"Who was the woman's daughter enamored with?\"\n },\n {\n \"82823\": \"What was the daughter's name?\"\n },\n {\n \"82824\": \"And her mom?\"\n },\n {\n \"82825\": \"Had she admitted her feelings to her mom?\"\n },\n {\n \"82826\": \"To herself?\"\n },\n {\n \"82827\": \"Did her mom see a solution for the situation?\"\n },\n {\n \"82828\": \"Where was the man currently?\"\n },\n {\n \"82829\": \"Where did he spend a lot of time there?\"\n },\n {\n \"82830\": \"Was he going to be there for awhile?\"\n },\n {\n \"82831\": \"When was he expected today?\"\n },\n {\n \"82832\": \"Was he wealthy?\"\n },\n {\n \"82833\": \"Did he have a promising occupation?\"\n },\n {\n \"82834\": \"Did the mother feel he was a suitable husband?\"\n },\n {\n \"82835\": \"How did she describe his level of sutability?\"\n },\n {\n \"82836\": \"Who else had the mother spoken to?\"\n },\n {\n \"82837\": \"Was her daughter outgoing?\"\n },\n {\n \"82838\": \"How did her mom characterize her personality?\"\n },\n {\n \"82839\": \"Did the mom find the situation hopeful?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"82822\",\n \"answer\": \"Mr. Graham\"\n },\n {\n \"question_id\": \"82823\",\n \"answer\": \"Madeline\"\n },\n {\n \"question_id\": \"82824\",\n \"answer\": \"Lady Staveley\"\n },\n {\n \"question_id\": \"82825\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"82826\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"82827\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"82828\",\n \"answer\": \"The house,\"\n },\n {\n \"question_id\": \"82829\",\n \"answer\": \"The drawing-room\"\n },\n {\n \"question_id\": \"82830\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"82831\",\n \"answer\": \"Three o'clock,\"\n },\n {\n \"question_id\": \"82832\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"82833\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"82834\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"82835\",\n \"answer\": \"Quite ineligible\"\n },\n {\n \"question_id\": \"82836\",\n \"answer\": \"Peregrine Orme.\"\n },\n {\n \"question_id\": \"82837\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"82838\",\n \"answer\": \"Retiring\"\n },\n {\n \"question_id\": \"82839\",\n \"answer\": \"No\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Malay is a major language of the Austronesian family spoken in Brunei, Indonesia, Malaysia and Singapore. It is spoken by 290 million people across the Strait of Malacca, including the coasts of the Malay Peninsula of Malaysia and the eastern coast of Sumatra in Indonesia, and has been established as a native language of part of western coastal Sarawak and West Kalimantan in Borneo. It is also used as a trading language in the southern Philippines, including the southern parts of the Zamboanga Peninsula, the Sulu Archipelago and the southern predominantly Muslim-inhabited municipalities of Bataraza and Balabac in Palawan. \n\nAs the \"Bahasa Kebangsaan\" or \"Bahasa Nasional\" (National Language) of several states, Standard Malay has various official names. In Singapore and Brunei it is called \"Bahasa Melayu\" (Malay language); in Malaysia, \"Bahasa Malaysia\" (Malaysian language); and in Indonesia, \"Bahasa Indonesia\" (Indonesian language) and is designated the \"Bahasa Persatuan/ Pemersatu\" (\"unifying language/ \"lingua franca\"\"). However, in areas of central to southern Sumatra where the language is indigenous, Indonesians refer to it as \"Bahasa Melayu\" and consider it one of their regional languages. \n\nStandard Malay, also called Court Malay, was the literary standard of the pre-colonial Malacca and Johor Sultanates, and so the language is sometimes called Malacca, Johor, or Riau Malay (or various combinations of those names) to distinguish it from the various other Malayan languages. According to \"Ethnologue\" 16, several of the Malayan varieties they currently list as separate languages, including the \"Orang Asli\" varieties of Peninsular Malay, are so closely related to standard Malay that they may prove to be dialects—these are listed with question marks in the infobox at right or on top (depending on device). There are also several Malay trade and creole languages which are based on a lingua franca derived from Classical Malay, as well as Macassar Malay, which appears to be a mixed language.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"94813\": \"What language is this passage talking about?\"\n },\n {\n \"94814\": \"Which family speaks it?\"\n },\n {\n \"94815\": \"Where is it spoken?\"\n },\n {\n \"94816\": \"Does the standard Malay have several official names/\"\n },\n {\n \"94817\": \"What is it called in Malaysia?\"\n },\n {\n \"94818\": \"In Singapore?\"\n },\n {\n \"94819\": \"How about Indonesia?\"\n },\n {\n \"94820\": \"How many people speak it?\"\n },\n {\n \"94821\": \"And where is it a native language?\"\n },\n {\n \"94822\": \"What's the other name for Standard Malay?\"\n },\n {\n \"94823\": \"Is it also used as a trading language?\"\n },\n {\n \"94824\": \"Why is this language sometimes called Malacca, Johor or Riau Malay?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"94813\",\n \"answer\": \"Malay\"\n },\n {\n \"question_id\": \"94814\",\n \"answer\": \"Austronesian family\"\n },\n {\n \"question_id\": \"94815\",\n \"answer\": \"Brunei, Indonesia, Malaysia and Singapore.\"\n },\n {\n \"question_id\": \"94816\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"94817\",\n \"answer\": \"Bahasa Malaysia\"\n },\n {\n \"question_id\": \"94818\",\n \"answer\": \"Bahasa Melayu\"\n },\n {\n \"question_id\": \"94819\",\n \"answer\": \"Bahasa Indonesia\"\n },\n {\n \"question_id\": \"94820\",\n \"answer\": \"290 million\"\n },\n {\n \"question_id\": \"94821\",\n \"answer\": \"people across the Strait of Malacca\"\n },\n {\n \"question_id\": \"94822\",\n \"answer\": \"Court Malay\"\n },\n {\n \"question_id\": \"94823\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"94824\",\n \"answer\": \"to distinguish it from the various other Malayan languages\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Borneo is the third-largest island in the world and the largest in Asia. At the geographic centre of Maritime Southeast Asia, in relation to major Indonesian islands, it is located north of Java, west of Sulawesi, and east of Sumatra. \n\nThe island is politically divided among three countries: Malaysia and Brunei in the north, and Indonesia to the south. Approximately 73% of the island is Indonesian territory. In the north, the East Malaysian states of Sabah and Sarawak make up about 26% of the island. Additionally, the Malaysian federal territory of Labuan is situated on a small island just off the coast of Borneo. The sovereign state of Brunei, located on the north coast, comprises about 1% of Borneo's land area. \n\nAntipodal to an area of Amazon rainforest, Borneo is itself home to one of the oldest rainforests in the world. \n\nThe island is known by many names. Internationally it is known as \"Borneo\", after Brunei, derived from European contact with the kingdom in the 16th century during the Age of Exploration. The name \"Brunei\" possibly derives from the Sanskrit word \"\"\"\" (), meaning either \"water\" or the mythological Varuna, the Hindu god of rain. Indonesian natives called it \"Kalimantan,\" which was derived from the Sanskrit word \"Kalamanthana,\" meaning \"burning weather island\" (to describe its hot and humid tropical weather).\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"48076\": \"Who is Borneo named after?\"\n },\n {\n \"48077\": \"What does Brunei mean?\"\n },\n {\n \"48078\": \"It means water in what language?\"\n },\n {\n \"48079\": \"What do the Indonesians call it?\"\n },\n {\n \"48080\": \"What is the origin of that word?\"\n },\n {\n \"48081\": \"Why did they call it that?\"\n },\n {\n \"48082\": \"What is the islands political make up?\"\n },\n {\n \"48083\": \"How much of it does Indonesia control?\"\n },\n {\n \"48084\": \"Where is the state of Brunei?\"\n },\n {\n \"48085\": \"Does it rain much in Borneo?\"\n },\n {\n \"48086\": \"What stands out about the rainforest?\"\n },\n {\n \"48087\": \"Where is Labuan located?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"48076\",\n \"answer\": \"Its named after Brunei\"\n },\n {\n \"question_id\": \"48077\",\n \"answer\": \"It means \\\"water\\\" or the mythological Varuna, the Hindu god of rain\"\n },\n {\n \"question_id\": \"48078\",\n \"answer\": \"the Sankrit language\"\n },\n {\n \"question_id\": \"48079\",\n \"answer\": \"They called it Kalimantan\"\n },\n {\n \"question_id\": \"48080\",\n \"answer\": \"It was derived from the Sankrit word \\\"Kalamanthana\\\" meaning burning weather island\"\n },\n {\n \"question_id\": \"48081\",\n \"answer\": \"Because its hot and humid there\"\n },\n {\n \"question_id\": \"48082\",\n \"answer\": \"There are three and they are Malaysia and Brueni in the North, and Indonesia in the south\"\n },\n {\n \"question_id\": \"48083\",\n \"answer\": \"They control 73%\"\n },\n {\n \"question_id\": \"48084\",\n \"answer\": \"In Asia\"\n },\n {\n \"question_id\": \"48085\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"48086\",\n \"answer\": \"Its one of the oldest in the world.\"\n },\n {\n \"question_id\": \"48087\",\n \"answer\": \"Just off the coast of Borneo\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"47164\": \"what is the age of ronaldo\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"47164\",\n \"answer\": \"28\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Southern California, often abbreviated SoCal, is a geographic and cultural region that generally comprises California's southernmost 10 counties. The region is traditionally described as \"eight counties\", based on demographics and economic ties: Imperial, Los Angeles, Orange, Riverside, San Bernardino, San Diego, Santa Barbara, and Ventura. The more extensive 10-county definition, including Kern and San Luis Obispo counties, is also used based on historical political divisions. Southern California is a major economic center for the state of California and the United States. \n\nThe 8- and 10-county definitions are not used for the greater Southern California Megaregion, one of the 11 megaregions of the United States. The megaregion's area is more expansive, extending east into Las Vegas, Nevada, and south across the Mexican border into Tijuana. \n\nSouthern California includes the heavily built-up urban area stretching along the Pacific coast from Ventura, through the Greater Los Angeles Area and the Inland Empire, and down to Greater San Diego. Southern California's population encompasses seven metropolitan areas, or MSAs: the Los Angeles metropolitan area, consisting of Los Angeles and Orange counties; the Inland Empire, consisting of Riverside and San Bernardino counties; the San Diego metropolitan area; the Oxnard–Thousand Oaks–Ventura metropolitan area; the Santa Barbara metro area; the San Luis Obispo metropolitan area; and the El Centro area. Out of these, three are heavy populated areas: the Los Angeles area with over 12 million inhabitants, the Riverside-San Bernardino area with over four million inhabitants, and the San Diego area with over 3 million inhabitants. For CSA metropolitan purposes, the five counties of Los Angeles, Orange, Riverside, San Bernardino, and Ventura are all combined to make up the Greater Los Angeles Area with over 17.5 million people. With over 22 million people, southern California contains roughly 60 percent of California's population.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"34158\": \"How many counties make up the focus area?\"\n },\n {\n \"34159\": \"Name all the counties starting with a consonant.\"\n },\n {\n \"34160\": \"Which are the two remaining?\"\n },\n {\n \"34161\": \"SoCal's population includes how many metro areas?\"\n },\n {\n \"34162\": \"Which is one area?\"\n },\n {\n \"34163\": \"Which counties make up that area?\"\n },\n {\n \"34164\": \"What is another MSA?\"\n },\n {\n \"34165\": \"How many counties is it made up of?\"\n },\n {\n \"34166\": \"Which is one?\"\n },\n {\n \"34167\": \"And the other?\"\n },\n {\n \"34168\": \"Which counties make up the Greater LA area?\"\n },\n {\n \"34169\": \"What is the population in that area?\"\n },\n {\n \"34170\": \"What percent of the Cali population is that?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"34158\",\n \"answer\": \"eight\"\n },\n {\n \"question_id\": \"34159\",\n \"answer\": \"Los Angeles, Riverside, San Bernardino, San Diego, Santa Barbara, and Ventura.\"\n },\n {\n \"question_id\": \"34160\",\n \"answer\": \"Imperial and Orange\"\n },\n {\n \"question_id\": \"34161\",\n \"answer\": \"seven\"\n },\n {\n \"question_id\": \"34162\",\n \"answer\": \"the Los Angeles metropolitan area\"\n },\n {\n \"question_id\": \"34163\",\n \"answer\": \"Los Angeles and Orange\"\n },\n {\n \"question_id\": \"34164\",\n \"answer\": \"the Inland Empire\"\n },\n {\n \"question_id\": \"34165\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"34166\",\n \"answer\": \"Riverside\"\n },\n {\n \"question_id\": \"34167\",\n \"answer\": \"San Bernardino\"\n },\n {\n \"question_id\": \"34168\",\n \"answer\": \"Los Angeles and Orange\"\n },\n {\n \"question_id\": \"34169\",\n \"answer\": \"over 17.5 million\"\n },\n {\n \"question_id\": \"34170\",\n \"answer\": \"roughly 60 percent\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER ELEVEN. \n\nTO THE RESCUE. \n\nElsie and Cora Ravenshaw were seated at a table in Willow Creek, with their mother and Miss Trim, repairing garments, one night in that same inclement January of which we have been writing. \n\nMr Ravenshaw was enjoying his pipe by the stove, and Louis Lambert was making himself agreeable. The old man was a little careworn. No news had yet been received of Tony or of Victor. In regard to the latter he felt easy; Victor could take care of himself, and was in good company, but his heart sank when he thought of his beloved Tony. What would he not have given to have had him smashing his pipe or operating on his scalp at that moment. \n\n\"It is an awful winter,\" observed Elsie, as a gust of wind seemed to nearly blow in the windows. \n\n\"I pity the hunters in the plains,\" said Cora. \"They say a rumour has come that they are starving.\" \n\n\"I heard of that, but hope it is not true,\" observed Lambert. \n\n\"Oh! they always talk of starving,\" said old Ravenshaw. \"No fear of 'em.\" \n\nAt that moment there was a sound of shuffling in the porch, the door was thrown open, and a gaunt, haggard man, with torn, snow-sprinkled garments, pale face, and bloodshot eyes, stood pictured on the background of the dark porch. \n\n\"Baptiste Warder!\" exclaimed Lambert, starting up. \n\n\"Ay, what's left o' me; and here's the remains o' Winklemann,\" said Warder, pointing to the cadaverous face of the starving German, who followed him. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"91151\": \"What did Mr Ravenshaw like?\"\n },\n {\n \"91152\": \"Where?\"\n },\n {\n \"91153\": \"Anyone else in the room?\"\n },\n {\n \"91154\": \"Who?\"\n },\n {\n \"91155\": \"what was he doing?\"\n },\n {\n \"91156\": \"Who was at the table?\"\n },\n {\n \"91157\": \"Where?\"\n },\n {\n \"91158\": \"anyone else?\"\n },\n {\n \"91159\": \"what were they doing?\"\n },\n {\n \"91160\": \"Was it the summer?\"\n },\n {\n \"91161\": \"Did anyone hear about Tony or Victor yet?\"\n },\n {\n \"91162\": \"who did he worry more for?\"\n },\n {\n \"91163\": \"why?\"\n },\n {\n \"91164\": \"What did Elsie realize?\"\n },\n {\n \"91165\": \"why did she realize this?\"\n },\n {\n \"91166\": \"Was anyone worried about a group of people?\"\n },\n {\n \"91167\": \"who was pitied?\"\n },\n {\n \"91168\": \"Who felt bad for them?\"\n },\n {\n \"91169\": \"Had anyone else heard about them?\"\n },\n {\n \"91170\": \"Who walked in through the door?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"91151\",\n \"answer\": \"his pipe\"\n },\n {\n \"question_id\": \"91152\",\n \"answer\": \"by the stove\"\n },\n {\n \"question_id\": \"91153\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"91154\",\n \"answer\": \"Louis Lambert\"\n },\n {\n \"question_id\": \"91155\",\n \"answer\": \"making himself agreeable\"\n },\n {\n \"question_id\": \"91156\",\n \"answer\": \"Elsie and Cora Ravenshaw\"\n },\n {\n \"question_id\": \"91157\",\n \"answer\": \"in Willow Creek\"\n },\n {\n \"question_id\": \"91158\",\n \"answer\": \"their mother\"\n },\n {\n \"question_id\": \"91159\",\n \"answer\": \"repairing garments\"\n },\n {\n \"question_id\": \"91160\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"91161\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"91162\",\n \"answer\": \"Tony\"\n },\n {\n \"question_id\": \"91163\",\n \"answer\": \"Victor could take care of himself\"\n },\n {\n \"question_id\": \"91164\",\n \"answer\": \"That it is an awful winter\"\n },\n {\n \"question_id\": \"91165\",\n \"answer\": \"a gust of wind nearly blew in the windows\"\n },\n {\n \"question_id\": \"91166\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"91167\",\n \"answer\": \"hunters in the plains\"\n },\n {\n \"question_id\": \"91168\",\n \"answer\": \"Cora\"\n },\n {\n \"question_id\": \"91169\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"91170\",\n \"answer\": \"Baptiste Warder\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXIII. \n\nTHE BLACK BEAR. \n\n\"Somebody is coming!\" ejaculated Sam. \"I hope it is Dick, with Mr. Barrow!\" \n\n\"So do I,\" returned Tom. \n\nWithout saying a word more, Jasper Grinder ran from the inner cave and joined Baxter and the guide. His face was pale, and he was evidently much disturbed. \n\nSoon Baxter and his party were outside, and the Rover boys heard them moving up and down the gully. Several minutes passed, and then came a gunshot, followed by another. \n\n\"I hope they are not firing on Dick or Mr. Barrow,\" said Sam, with something of a shudder. \n\n\"I guess not,\" returned his brother. \"If they were, we'd probably hear shots in return.\" \n\nAn hour went by, and then Dan Baxter and the others came back, the guide carrying several rabbits and a large fox. The rabbits were skinned and kept for eating, and the fox was skinned and the carcass thrown away. \n\nTom and Sam had expected Jasper Grinder to return to them, but if the former teacher desired to do this, he was prevented by Dan Baxter, who kept his companions close by him, around the fire. \n\nSlowly the time went by until darkness was upon them. The fire was kept up, but Baxter screened it as much as possible, so that the glare might not penetrate to the forest beyond the gully and prove a beacon to guide Dick and John Barrow to the spot. \n\nThe boys were tired out, and soon Sam sank to sleep, with his hands still tied to the tree roots. Tom tried to keep awake, but half an hour later he, too, was in dreamland. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"85642\": \"Who wanted to see Dick and Mr. Barrow?\"\n },\n {\n \"85643\": \"Was he concerned for their safety?\"\n },\n {\n \"85644\": \"Why?\"\n },\n {\n \"85645\": \"Whom did he expect to come back?\"\n },\n {\n \"85646\": \"What was he holding on to?\"\n },\n {\n \"85647\": \"Was he sleepy?\"\n },\n {\n \"85648\": \"Who was his brother?\"\n },\n {\n \"85649\": \"How long did he stay up past Sam?\"\n },\n {\n \"85650\": \"Why was he not as concerned about Dick as Sam?\"\n },\n {\n \"85651\": \"What was Baxter's role?\"\n },\n {\n \"85652\": \"What did they use the fox for?\"\n },\n {\n \"85653\": \"Did Baxter want Dick and Barrow to find them?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"85642\",\n \"answer\": \"Sam\"\n },\n {\n \"question_id\": \"85643\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"85644\",\n \"answer\": \"they heard gunshots\"\n },\n {\n \"question_id\": \"85645\",\n \"answer\": \"Jasper Grinder\"\n },\n {\n \"question_id\": \"85646\",\n \"answer\": \"several rabbits and a large fox\"\n },\n {\n \"question_id\": \"85647\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"85648\",\n \"answer\": \"Tom\"\n },\n {\n \"question_id\": \"85649\",\n \"answer\": \"half hour\"\n },\n {\n \"question_id\": \"85650\",\n \"answer\": \"they didn't hear shots in return\"\n },\n {\n \"question_id\": \"85651\",\n \"answer\": \"to screen the fire\"\n },\n {\n \"question_id\": \"85652\",\n \"answer\": \"the fox was skinned\"\n },\n {\n \"question_id\": \"85653\",\n \"answer\": \"no\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n A little boy named Justin lived on a farm. His father James owned the farm. His uncles Jerry, Todd, and Billy also worked on the farm. \n\nThe farm had chickens, cows, horses, sheep, and pigs. He loved to play with all of the animals on the farm, but the horses were his favorite. He would spend all day riding the horses. He loved when baby horses were born. They were born in the spring. When a baby horse was born, Justin's father would bring the baby out of the barn for Justin to pet. \n\nJustin also loved playing in the fields on the farm. He would run through the meadows trying to catch butterflies. He also loved to stay up late and catch fireflies in the dark. \n\nJustin also loved going fishing in the summer. On one Tuesday evening, he went to the farm's pond and caught a huge catfish. The fish was so large that it almost broke his fishing pole. Justin brought the fish in. \n\nThe fish looked at Justin with sad eyes. Looking at the fish, Justin felt bad that he had caught it. He threw the catfish back into the pond. He packed away his fishing pole and went back home. He told his father about the catfish and how he let it go. \n\nHis father said, \"I am proud of you for doing that, son.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"4602\": \"Where did Justin live?\"\n },\n {\n \"4603\": \"Who owned it?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"4602\",\n \"answer\": \"on a farm\"\n },\n {\n \"question_id\": \"4603\",\n \"answer\": \"His father\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n New York (CNN) -- More than 80 Michael Jackson collectibles -- including the late pop star's famous rhinestone-studded glove from a 1983 performance -- were auctioned off Saturday, reaping a total $2 million. \n\nProfits from the auction at the Hard Rock Cafe in New York's Times Square crushed pre-sale expectations of only $120,000 in sales. \n\nThe highly prized memorabilia, which included items spanning the many stages of Jackson's career, came from more than 30 fans, associates and family members, who contacted Julien's Auctions to sell their gifts and mementos of the singer. \n\nJackson's flashy glove was the big-ticket item of the night, fetching $420,000 from a buyer in Hong Kong, China. Jackson wore the glove at a 1983 performance during \"Motown 25,\" an NBC special where he debuted his revolutionary moonwalk. \n\nFellow Motown star Walter \"Clyde\" Orange of the Commodores, who also performed in the special 26 years ago, said he asked for Jackson's autograph at the time, but Jackson gave him the glove instead. \n\n\"The legacy that [Jackson] left behind is bigger than life for me,\" Orange said. \"I hope that through that glove people can see what he was trying to say in his music and what he said in his music.\" \n\nOrange said he plans to give a portion of the proceeds to charity. \n\nHoffman Ma, who bought the glove on behalf of Ponte 16 Resort in Macau, paid a 25 percent buyer's premium, which was tacked onto all final sales over $50,000. Winners of items less than $50,000 paid a 20 percent premium. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"91679\": \"Where was the Auction held?\"\n },\n {\n \"91680\": \"How much did they make?\"\n },\n {\n \"91681\": \"How much did they expected?\"\n },\n {\n \"91682\": \"WHo buy the Jackson Glove\"\n },\n {\n \"91683\": \"Where was the buyer of the glove from?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"91679\",\n \"answer\": \"Hard Rock Cafe\"\n },\n {\n \"question_id\": \"91680\",\n \"answer\": \"$2 million.\"\n },\n {\n \"question_id\": \"91681\",\n \"answer\": \"$120,000\"\n },\n {\n \"question_id\": \"91682\",\n \"answer\": \"Hoffman Ma\"\n },\n {\n \"question_id\": \"91683\",\n \"answer\": \"Macau\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n My parents have certainly had their troubles, and as their child I'll never know how they made it to 38 years of marriage. They loved each other, but they didn't seem to like each other very much. Dad was too fond of his beer, and he talked down to Mom a lot. When she tried to stand up to him, a fight would unavoidably follow. \n\nIt was my dad's disease that began to change things. The year 1998 was the beginning of a remarkable transformation for my family. My father, Jim Dineen, the always healthy, weightlifting, never-missed-a-day-of-work kind of dad, discovered he had kidney disease. \n\nThe decision to go ahead with a transplant for my father was a long and tough one, mostly because he had liver damage too. One physician's assistant told him, \"According to your file, you're supposed to be dead.\" And for a while, doctors mistakenly thought that he would need not just a kidney transplant, but a liver transplant too. _ \n\nWhen the donor testing process finally began in the spring of 2003, numerous people, including me, my uncle Tom, and my mom, came back as matches of varying degree. But Mom was the one who insisted on going further. She decided to donate a kidney to my father. She said she was not scared, and it was the right thing to do. We all stepped back in amazement. \n\nAt last a date was chosen - November 11, 2003. All of a sudden, the only thing that seemed to matter Dad was telling the world what a wonderful thing Mom was doing for him. A month before the surgery, he sent her birthday flowers with a note that read, \"I love you and I love your kidney! Thank you!\" \n\nFinancially, the disease was upsetting to them. So my sister and I were humbled and surprised when, shortly before his surgery day, Dad handed us a diamond jewelry that we were to give to Mom after the operation. He'd accumulated his spare dollars to buy it. \n\nAt the hospital on the day of the transplant, all our relatives and friends gathered in the waiting room and became involved in a mean euchre tournament. My family has always handled things with a lot of laughter, and even though we were all tense, everybody was taking bets on how long this \"change of conduct\" would last in my parents. \n\nWe would inform Dad that if he chose to act like a real pain on any particular day after the operation, he wasn't allowed to blame it on PMS just because he'd now have a female kidney. \n\nThe surgeries went well, and not long afterward, my sister and I were allowed to go in to visit. Dad was in a great deal of pain but again, all he could talk about was Mom. Was she okay? How was she feeling? Then the nurses let us do something unconventional. As they were wheeling Mom out of recovery room, they rolled her into a separate position to visit Dad. It was strange to see both my parents hooked up to IVs and machines and trying to talk to each other through tears. The nurses allowed us to present the diamond jewelry to Mom so that Dad could watch her open it. Everyone was crying, even the nurses. \n\nAs I stood with digital camera in hand, I tried to keep the presence of mind to document the moment. My dad was having a hard time fighting back emotion, and suddenly my parents unexpectedly reached out to hold each other's hands. \n\nIn my nearly 35 years of existence, I'd never seen my parents do that, and I was spellbound. I snapped a picture and later rushed home to make sure I'd captured that enormous, life-defining moment. After so many years of disagreement, it was apparent to me that they finally understood how much each loved the other.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"53633\": \"How long has mom and dad been married?\"\n },\n {\n \"53634\": \"Who was too fond of beer?\"\n },\n {\n \"53635\": \"Did he treat mom with respect?\"\n },\n {\n \"53636\": \"What kind of disease did dad have?\"\n },\n {\n \"53637\": \"When did he get the disease?\"\n },\n {\n \"53638\": \"What was his name?\"\n },\n {\n \"53639\": \"Did they want to go along with a tranplant?\"\n },\n {\n \"53640\": \"When did they start testing donors?\"\n },\n {\n \"53641\": \"Did more than one person come back as a match?\"\n },\n {\n \"53642\": \"Who ultimately gave their kidney to the dad?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"53633\",\n \"answer\": \"38 years\"\n },\n {\n \"question_id\": \"53634\",\n \"answer\": \"His dad\"\n },\n {\n \"question_id\": \"53635\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"53636\",\n \"answer\": \"kidney disease.\"\n },\n {\n \"question_id\": \"53637\",\n \"answer\": \"1998\"\n },\n {\n \"question_id\": \"53638\",\n \"answer\": \"Jim Dineen\"\n },\n {\n \"question_id\": \"53639\",\n \"answer\": \"Yes but is was a tough decision\"\n },\n {\n \"question_id\": \"53640\",\n \"answer\": \"the spring of 2003\"\n },\n {\n \"question_id\": \"53641\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"53642\",\n \"answer\": \"His mom did\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Reactions to Miley Cyrus at the VMAs: People are still having them! \n\nEarlier this week, we heard what both Britney Spears and Paula Patton had to say about the performance. (Spoiler alert: They think she's just being Miley.) But while both those stars were shrugging their shoulders, another music legend was sharpening her claws. \n\n\"I'm not old-fashioned,\" Cher told USA Today in an interview published Tuesday. \"She could have come out naked, and if she'd just rocked the house, I would have said, 'You go, girl.' It just wasn't done well. She can't dance, her body looked like hell, the song wasn't great, one cheek was hanging out. And, chick, don't stick out your tongue if it's coated.\" \n\nEW: Paula Patton reacts to Miley Cyrus' VMAs performance \n\nOuch! It's one thing to slam Miley's choice of outfit or sexually-charged behavior; it's quite another to question the girl's talent itself. And coming from someone who knows a thing or two about rockin' it while wearing revealing outfits — not to mention clearly visible buttocks — that comment is harsher still. \n\nEW: Britney Spears defends Miley Cyrus on 'GMA', plus 4 other things we learned \n\nEvidently, Cyrus is taking Cher's burn in stride. She hasn't responded to Cher's words on social media, choosing instead to keep touting the phenomenal success of \"Wrecking Ball,\" her latest single. (\"#1 on Billboard. #1 on iTunes. #1 on Spotify. #1 on Streaming. #1 on Digital songs. #1 most added to pop radio. #1 on VEVO,\" according to Miley.) \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"13145\": \"Earlier this week we heard whose opioion?\"\n },\n {\n \"13146\": \"what did they both agree on?\"\n },\n {\n \"13147\": \"both stars were?\"\n },\n {\n \"13148\": \"what performance were they reacting to?\"\n },\n {\n \"13149\": \"how did Paula Patton react?\"\n },\n {\n \"13150\": \"Cher told USA what?\"\n },\n {\n \"13151\": \"how did Cher describe Miley's body?\"\n },\n {\n \"13152\": \"Cher told USA what about her dance\"\n },\n {\n \"13153\": \"How does Brittany Spears feel about the performance\"\n },\n {\n \"13154\": \"what show did Britney Spears defends Miley on\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"13145\",\n \"answer\": \"both Britney Spears and Paula Patton\"\n },\n {\n \"question_id\": \"13146\",\n \"answer\": \"she's just being Miley\"\n },\n {\n \"question_id\": \"13147\",\n \"answer\": \"shrugging their shoulders\"\n },\n {\n \"question_id\": \"13148\",\n \"answer\": \"Miley Cyrus at the VMAs\"\n },\n {\n \"question_id\": \"13149\",\n \"answer\": \"Ouch\"\n },\n {\n \"question_id\": \"13150\",\n \"answer\": \"It just wasn't done well\"\n },\n {\n \"question_id\": \"13151\",\n \"answer\": \"looked like hell\"\n },\n {\n \"question_id\": \"13152\",\n \"answer\": \"She can't dance\"\n },\n {\n \"question_id\": \"13153\",\n \"answer\": \"defended Miley\"\n },\n {\n \"question_id\": \"13154\",\n \"answer\": \"GMA\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n NEW YORK (CNN) -- A rarely seen portrait of Michael Jackson is on display inside a Harlem luxury car dealership. Macky Dancy, a partner at Dancy-Power Automotive, said the oil painting titled \"The Book\" is believed to be the only portrait for which Jackson sat. \n\nThe oil painting titled \"The Book\" is on display at Dancy-Power Automotive in Harlem, New York. \n\nA different portrait of the entertainer was among items auctioned from his Neverland Ranch in April. It is not clear whether Jackson sat for that painting. \n\nThe painting on display in Harlem belongs to Marty Abrams, a friend and customer of the owners of the high-profile dealership. \n\nThe 40-inch by 50-inch portrait, by Australian painter Brett Livingstone-Strong, sold for $2.1 million in 1990. Abrams acquired it as part of an unrelated business deal in 1992 and had it stored. \n\nThe painting shows Jackson sitting in Renaissance-era clothes and holding a book. Jackson sat for the portrait because he was a friend of Livingstone-Strong's. \n\nThe painting was unveiled at the Dancy-Power Automotive Group showroom on Thursday but was removed Friday because of crowd concerns. It returned to the showroom floor Monday morning. \n\nDancy said the painting's owner chose the showroom because it's near the Apollo Theater in Harlem, where the Jackson 5 won their first taste of fame by winning Amateur Night in 1967. \n\nHe said Abrams hopes the painting in some way can raise money for charities in the Harlem neighborhood. Dancy said Abrams is not necessarily interested in selling the portrait. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"47565\": \"who was the portrait of ?\"\n },\n {\n \"47566\": \"what was the portiait made of?\"\n },\n {\n \"47567\": \"did it have a name?\"\n },\n {\n \"47568\": \"What was it called?\"\n },\n {\n \"47569\": \"Did anyone buy the portrait?\"\n },\n {\n \"47570\": \"who?\"\n },\n {\n \"47571\": \"did he pay for it or given?\"\n },\n {\n \"47572\": \"was the painting ever showed publicly\"\n },\n {\n \"47573\": \"Where?\"\n },\n {\n \"47574\": \"Why was it removed friday?\"\n },\n {\n \"47575\": \"When did it return to the showroom?\"\n },\n {\n \"47576\": \"Did Abrams ever sold the portriat?\"\n },\n {\n \"47577\": \"Did it help raise money for charities?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"47565\",\n \"answer\": \"Michael Jackson\"\n },\n {\n \"question_id\": \"47566\",\n \"answer\": \"oil\"\n },\n {\n \"question_id\": \"47567\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"47568\",\n \"answer\": \"The Book\"\n },\n {\n \"question_id\": \"47569\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"47570\",\n \"answer\": \"Abrams acquired it\"\n },\n {\n \"question_id\": \"47571\",\n \"answer\": \"he got it as part of an unrelated business deal\"\n },\n {\n \"question_id\": \"47572\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"47573\",\n \"answer\": \"in Harlem\"\n },\n {\n \"question_id\": \"47574\",\n \"answer\": \"because of crowd concerns\"\n },\n {\n \"question_id\": \"47575\",\n \"answer\": \"Monday\"\n },\n {\n \"question_id\": \"47576\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"47577\",\n \"answer\": \"Abrams hopes so\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n A vernacular or vernacular language is the native language or native dialect (usually colloquial or informal) of a specific population, especially as distinguished from a literary, national or standard variety of the language, or a lingua franca (also called a vehicular language) used in the region or state inhabited by that population. Some linguists use \"vernacular\" and \"nonstandard dialect\" as synonyms. \n\nThe use of \"vernacular\" is not recent. In 1688, James Howell wrote: \n\nConcerning Italy, doubtless there were divers before the Latin did spread all over that Country; the Calabrian, and Apulian spoke Greek, whereof some Relicks are to be found to this day; but it was an adventitious, no Mother-Language to them: 'tis confess'd that Latium it self, and all the Territories about Rome, had the Latin for its maternal and common first vernacular Tongue; but Tuscany and Liguria had others quite discrepant, viz. the Hetruscane and Mesapian, whereof though there be some Records yet extant; yet there are none alive that can understand them: The Oscan, the Sabin and Tusculan, are thought to be but Dialects to these. \n\nHere vernacular, mother language and dialect are already in use in a modern sense. According to Merriam-Webster, \"vernacular\" was brought into the English language as early as 1601 from the Latin \"vernaculus\" (\"native\") which had been in figurative use in Classical Latin as \"national\" and \"domestic\", having originally been derived from \"vernus\" and \"verna\", a male or female slave respectively born in the house rather than abroad. The figurative meaning was broadened from the diminutive extended words \"vernaculus, vernacula\". Varro, the classical Latin grammarian, used the term \"vocabula vernacula\", \"termes de la langue nationale\" or \"vocabulary of the national language\" as opposed to foreign words.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"63200\": \"Is the use of vernacular recent?\"\n },\n {\n \"63201\": \"What is a vernacular?\"\n },\n {\n \"63202\": \"What are some synonyms?\"\n },\n {\n \"63203\": \"Who spoke greek?\"\n },\n {\n \"63204\": \"Anyone else?\"\n },\n {\n \"63205\": \"When was the word introduced into the english language?\"\n },\n {\n \"63206\": \"According to who?\"\n },\n {\n \"63207\": \"From what latin word?\"\n },\n {\n \"63208\": \"Which means?\"\n },\n {\n \"63209\": \"How was it used in classical latin?\"\n },\n {\n \"63210\": \"As what?\"\n },\n {\n \"63211\": \"Anything else?\"\n },\n {\n \"63212\": \"Derived from what originally?\"\n },\n {\n \"63213\": \"Meaning?\"\n },\n {\n \"63214\": \"How was the figurative meaning expanded?\"\n },\n {\n \"63215\": \"Who was Varro?\"\n },\n {\n \"63216\": \"What terms did he use?\"\n },\n {\n \"63217\": \"Anything else?\"\n },\n {\n \"63218\": \"And the last one?\"\n },\n {\n \"63219\": \"As opposed to?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"63200\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"63201\",\n \"answer\": \"The native language or native dialect of a specific population\"\n },\n {\n \"question_id\": \"63202\",\n \"answer\": \"vernacular\\\" and \\\"nonstandard dialect\\\"\"\n },\n {\n \"question_id\": \"63203\",\n \"answer\": \"the Calabrian\"\n },\n {\n \"question_id\": \"63204\",\n \"answer\": \"The Apulian\"\n },\n {\n \"question_id\": \"63205\",\n \"answer\": \"as early as 1601\"\n },\n {\n \"question_id\": \"63206\",\n \"answer\": \"Merriam-Webster\"\n },\n {\n \"question_id\": \"63207\",\n \"answer\": \"Vernaculus\"\n },\n {\n \"question_id\": \"63208\",\n \"answer\": \"Native\"\n },\n {\n \"question_id\": \"63209\",\n \"answer\": \"Figuratively\"\n },\n {\n \"question_id\": \"63210\",\n \"answer\": \"National\"\n },\n {\n \"question_id\": \"63211\",\n \"answer\": \"Domestic\"\n },\n {\n \"question_id\": \"63212\",\n \"answer\": \"Vernus and Verna\"\n },\n {\n \"question_id\": \"63213\",\n \"answer\": \"A male or female slave respectively born in the house rather than abroad.\"\n },\n {\n \"question_id\": \"63214\",\n \"answer\": \"From the diminutive extended words \\\"vernaculus, vernacula\\\".\"\n },\n {\n \"question_id\": \"63215\",\n \"answer\": \"A classical Latin grammarian\"\n },\n {\n \"question_id\": \"63216\",\n \"answer\": \"vocabula vernacula\"\n },\n {\n \"question_id\": \"63217\",\n \"answer\": \"termes de la langue nationale\"\n },\n {\n \"question_id\": \"63218\",\n \"answer\": \"vocabulary of the national language\"\n },\n {\n \"question_id\": \"63219\",\n \"answer\": \"foreign words.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER II. \n\nA black figure detached itself from the blacker shadows, and shuffled stealthily to where Jimmy stood on the doorstep. \n\n\"That you, Spike?\" asked Jimmy, in a low voice. \n\n\"Dat's right, Mr. Chames.\" \n\n\"Come on in.\" \n\nHe led the way up to his rooms, switched on the electric light, and shut the door. Spike stood blinking at the sudden glare. He twirled his battered hat in his hands. His red hair shone fiercely. \n\nJimmy inspected him out of the corner of his eye, and came to the conclusion that the Mullins finances must be at a low ebb. Spike's costume differed in several important details from that of the ordinary well-groomed man about town. There was nothing of the _flaneur_ about the Bowery boy. His hat was of the soft black felt, fashionable on the East Side of New York. It was in poor condition, and looked as if it had been up too late the night before. A black tail coat, burst at the elbows, stained with mud, was tightly buttoned across his chest. This evidently with the idea of concealing the fact that he wore no shirt--an attempt which was not wholly successful. A pair of gray flannel trousers and boots out of which two toes peeped coyly, completed the picture. \n\nEven Spike himself seemed to be aware that there were points in his appearance which would have distressed the editor of a men's fashion paper. \n\n\"'Scuse dese duds,\" he said. \"Me man's bin an' mislaid de trunk wit' me best suit in. Dis is me number two.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"72990\": \"What color was the tail coat?\"\n },\n {\n \"72991\": \"Who wore the coat?\"\n },\n {\n \"72992\": \"What color was Spikes hair?\"\n },\n {\n \"72993\": \"What was the condition of his clothing?\"\n },\n {\n \"72994\": \"Do we know why?\"\n },\n {\n \"72995\": \"What color were pants?\"\n },\n {\n \"72996\": \"What did he wear on his feet?\"\n },\n {\n \"72997\": \"What was Jimmy's last name?\"\n },\n {\n \"72998\": \"Do we know where this story takes place?\"\n },\n {\n \"72999\": \"Where was it?\"\n },\n {\n \"73000\": \"Was the place comfortable?\"\n },\n {\n \"73001\": \"Did the guest wear a blouse?\"\n },\n {\n \"73002\": \"what was exposed while wearing the boot?\"\n },\n {\n \"73003\": \"was the guest homeless?\"\n },\n {\n \"73004\": \"what was in his hands?\"\n },\n {\n \"73005\": \"what was it made of?\"\n },\n {\n \"73006\": \"what article of clothing was stained?\"\n },\n {\n \"73007\": \"did it fit well?\"\n },\n {\n \"73008\": \"how long was the zipper?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"72990\",\n \"answer\": \"black\"\n },\n {\n \"question_id\": \"72991\",\n \"answer\": \"the Bowery boy\"\n },\n {\n \"question_id\": \"72992\",\n \"answer\": \"red\"\n },\n {\n \"question_id\": \"72993\",\n \"answer\": \"poor\"\n },\n {\n \"question_id\": \"72994\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"72995\",\n \"answer\": \"gray\"\n },\n {\n \"question_id\": \"72996\",\n \"answer\": \"boots\"\n },\n {\n \"question_id\": \"72997\",\n \"answer\": \"Chames\"\n },\n {\n \"question_id\": \"72998\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"72999\",\n \"answer\": \"his room\"\n },\n {\n \"question_id\": \"73000\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"73001\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"73002\",\n \"answer\": \"two toes\"\n },\n {\n \"question_id\": \"73003\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"73004\",\n \"answer\": \"his hat\"\n },\n {\n \"question_id\": \"73005\",\n \"answer\": \"soft black felt,\"\n },\n {\n \"question_id\": \"73006\",\n \"answer\": \"tail coat\"\n },\n {\n \"question_id\": \"73007\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"73008\",\n \"answer\": \"there was none\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Garry Golden is a futurist. Futurists are scientists who analyze the way the world is today and use that information.to predict what the world will be like in the future. Golden focuses on the study of transportation. He spends his days studying the relationships between cars, subways, and trains. But he's most excited about imagining the way these relationships will change in the future. Many public transportation supporters dislike big cities because they spend hours driving from one side of the city to the other. And there aren't enough buses and. subways. However, Golden sees a trend toward fewer cars' in the future. He explains, \"Cities have a cost of car ownership, which is a challenge. All these vehicles cost the city in services, in having to repair roads and other things. \"Cars also take up a lot of space. Golden points out that having so many parking spaces is wasteful. Much of the time the parking spaces sit empty. What is the solution?\"I think cities will make new laws to limit the number of cars people can have ,\" says Golden. \"Instead, people will use taxis, subways, and buses. New technology, like smartphones, can make these forms of public transportation even better. Imagine if everyone had a smartphone and used them to signal when they wanted to ride the bus. Buses could change their route to meet people's requests.\" How soon would these changes come? Golden admits that it will take several years. Cities can be slow to change. Also, new systems of transportation can be expensive. \"But it's coming,\" he says. \"The trend of the empowered city will be here soon. \" The other trend that excites Golden is electric cars. Golden especially believes in the future of electric cars that have sensors to understand the world around them. \"If we have cars that can communicate with one another, they can adjust speeds to cut down on traffic jams,\"he says. Rush hour in big cities would be much less painful. One challenge is that it is hard to cheaply produce batteries that are strong enough for these cars. But Golden argues we could, also make cars out of strong plastic composites . The cars would then be much lighter and much cheaper to make. Golden remains positive about the future. \"There are so many exciting developments ,\"he says. \"In thirty years we will live a different world. \"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"5507\": \"What is the last name of this person??\"\n },\n {\n \"5508\": \"And the first?\"\n },\n {\n \"5509\": \"What are they?\"\n },\n {\n \"5510\": \"What does he examine?\"\n },\n {\n \"5511\": \"What does he especially look forward to?\"\n },\n {\n \"5512\": \"What do people spend too much time doing in big areas?\"\n },\n {\n \"5513\": \"Is there a shortage of anything there?\"\n },\n {\n \"5514\": \"What is one thing?\"\n },\n {\n \"5515\": \"What else?\"\n },\n {\n \"5516\": \"What does he think will happen?\"\n },\n {\n \"5517\": \"What is a disadvantage of automobiles?\"\n },\n {\n \"5518\": \"What else?\"\n },\n {\n \"5519\": \"What does it waste?\"\n },\n {\n \"5520\": \"What might mayors do instead?\"\n },\n {\n \"5521\": \"What will people start to use?\"\n },\n {\n \"5522\": \"What is something they could do with their phones?\"\n },\n {\n \"5523\": \"What is the trend called he thinks will happen?\"\n },\n {\n \"5524\": \"What else is he looking forward to?\"\n },\n {\n \"5525\": \"What is a problem with them?\"\n },\n {\n \"5526\": \"And a solution?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"5507\",\n \"answer\": \"Golden\"\n },\n {\n \"question_id\": \"5508\",\n \"answer\": \"Garry\"\n },\n {\n \"question_id\": \"5509\",\n \"answer\": \"a futurist\"\n },\n {\n \"question_id\": \"5510\",\n \"answer\": \"the study of transportation\"\n },\n {\n \"question_id\": \"5511\",\n \"answer\": \"The way relationships between cars, subways, trains will change in the future\"\n },\n {\n \"question_id\": \"5512\",\n \"answer\": \"they spend hours driving from one side of the city to the other.\"\n },\n {\n \"question_id\": \"5513\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"5514\",\n \"answer\": \"buses\"\n },\n {\n \"question_id\": \"5515\",\n \"answer\": \"subways\"\n },\n {\n \"question_id\": \"5516\",\n \"answer\": \"a trend toward fewer cars' in the future.\"\n },\n {\n \"question_id\": \"5517\",\n \"answer\": \"Cities have a cost of car ownership,\"\n },\n {\n \"question_id\": \"5518\",\n \"answer\": \"Cars also take up a lot of space.\"\n },\n {\n \"question_id\": \"5519\",\n \"answer\": \"having so many parking spaces is wasteful.\"\n },\n {\n \"question_id\": \"5520\",\n \"answer\": \"limit the number of cars people can have ,\"\n },\n {\n \"question_id\": \"5521\",\n \"answer\": \"taxis, subways, and buses.\"\n },\n {\n \"question_id\": \"5522\",\n \"answer\": \"used them to signal when they wanted to ride the bus\"\n },\n {\n \"question_id\": \"5523\",\n \"answer\": \"empowered city\"\n },\n {\n \"question_id\": \"5524\",\n \"answer\": \"electric cars\"\n },\n {\n \"question_id\": \"5525\",\n \"answer\": \"to cheaply produce batteries that are strong enough for these cars.\"\n },\n {\n \"question_id\": \"5526\",\n \"answer\": \"we could, also make cars out of strong plastic composites\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- CNN colleagues have been paying tribute to the network's former Jerusalem correspondent Jerrold Kessel, who died Thursday at age 65 after a long battle with cancer. \n\nKessel was a tireless reporter in a troubled part of the world. \n\n\"Jerrold worked for CNN for 13 years from 1990 to 2003 during some of the most spectacular highs and lows of the Middle East and was one of the network's regular reporting faces from the region,\" said Jerusalem Bureau Chief Kevin Flower. \n\n\"He was a passionate journalist and a guiding force for many he worked with.\" \n\nKessel was born in South Africa and moved to Israel as a young man. He was a widely published print reporter who worked for the Jerusalem Post and Israel Radio before joining CNN as a field producer, then correspondent and deputy bureau chief. \n\nHe led CNN's viewers through events ranging from the Oslo accords between Israel and the Palestinians, to the assassination of Yitzhak Rabin, Israeli elections and the intifada. \n\nA portly man with a fuzzy white beard, Kessel's gentle appearance and warm friendly manner gave no hint of his inner intensity. He was known to colleagues for his seven-day-a-week commitment to the story, his voluble personality and his insider's knowledge of Middle East events. \n\n\"Jerrold was an expert on the Israeli-Palestinian story, and managed to explain the complicated politics of the Mideast on our air for so many years,\" said Parisa Khosravi, CNN's Senior Vice President of international newsgathering. \n\nCNN Anchor Jim Clancy, a former Beirut correspondent well-traveled through the region in his own right, said he also benefited from Kessel's experience. \"Jerrold always went out of his way to help others understand the context of the story and shared his knowledge and his sources unselfishly.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"91005\": \"who had cancer\"\n },\n {\n \"91006\": \"how old was he when he passed\"\n },\n {\n \"91007\": \"where was he born\"\n },\n {\n \"91008\": \"whered he move to\"\n },\n {\n \"91009\": \"where did he work\"\n },\n {\n \"91010\": \"what major company\"\n },\n {\n \"91011\": \"what did he do there\"\n },\n {\n \"91012\": \"how was his appearance described as\"\n },\n {\n \"91013\": \"was he committed to his work\"\n },\n {\n \"91014\": \"what were some news stories that he covered\"\n },\n {\n \"91015\": \"what was he an expert on\"\n },\n {\n \"91016\": \"who was the VP of CNN\"\n },\n {\n \"91017\": \"Who benefited from Kessel\"\n },\n {\n \"91018\": \"what was he\"\n },\n {\n \"91019\": \"was kessel selfish\"\n },\n {\n \"91020\": \"what type of facial hair did he have\"\n },\n {\n \"91021\": \"what color\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"91005\",\n \"answer\": \"Jerrold Kessel\"\n },\n {\n \"question_id\": \"91006\",\n \"answer\": \"65\"\n },\n {\n \"question_id\": \"91007\",\n \"answer\": \"South Africa\"\n },\n {\n \"question_id\": \"91008\",\n \"answer\": \"Israel\"\n },\n {\n \"question_id\": \"91009\",\n \"answer\": \"Jerusalem Post\"\n },\n {\n \"question_id\": \"91010\",\n \"answer\": \"CNN\"\n },\n {\n \"question_id\": \"91011\",\n \"answer\": \"field producer\"\n },\n {\n \"question_id\": \"91012\",\n \"answer\": \"gentle\"\n },\n {\n \"question_id\": \"91013\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"91014\",\n \"answer\": \"Oslo accords between Israel and the Palestinians and the assassination of Yitzhak Rabin,\"\n },\n {\n \"question_id\": \"91015\",\n \"answer\": \"the Israeli-Palestinian story\"\n },\n {\n \"question_id\": \"91016\",\n \"answer\": \"Parisa Khosravi\"\n },\n {\n \"question_id\": \"91017\",\n \"answer\": \"Jim Clancy\"\n },\n {\n \"question_id\": \"91018\",\n \"answer\": \"a former Beirut correspondent\"\n },\n {\n \"question_id\": \"91019\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"91020\",\n \"answer\": \"A beard\"\n },\n {\n \"question_id\": \"91021\",\n \"answer\": \"white\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Long Beach, California (CNN) -- Taylor Wilson is going to create a safer source of nuclear energy, help reduce the world's stockpile of nuclear weapons, screen container ships for weapons and power manned missions to other planets. But first ... he has to graduate high school in May. \n\nJack Andraka is going to bring his 3-cent screening test for pancreatic, ovarian and lung cancer to market -- an alternative to a standard $800 test. But Jack, 16, hasn't been to high school much lately and isn't even sure he'll graduate. \n\nThe two teenagers with Justin Bieber style haircuts wowed the 1,400 people who attended TED2013 this week, fitting the conference's theme: \"The Young. The Wise. The Undiscovered.\" They were among a number of youthful speakers who Time magazine's Ruth Davis Konigsberg called \"some of the biggest showstoppers at the annual event.\" \n\nBy contrast, some of the older voices onstage struck notes that were far less hopeful. Northwestern University economist Robert Gordon declared that the era of strong economic growth in the United States is over -- as America faces the headwinds of an aging population, debt, inequality and educational weaknesses; he argued that it's hard to foresee innovations that could have the transformative effect electricity, indoor plumbing and the internal combustion engine had in powering growth in the past century. \n\nFormer Michigan Gov. Jennifer Granholm, calling for a private sector-funded \"race to the top\" among states, lamented the inability of Washington politicians to develop a national energy strategy. She got laughs when she noted that Congress' approval rating is worse than lice, root canals and Donald Trump (although better than that of gonorrhea and meth labs). \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"52420\": \"How many people were at the event?\"\n },\n {\n \"52421\": \"What was it?\"\n },\n {\n \"52422\": \"Did anyone impress them?\"\n },\n {\n \"52423\": \"Who?\"\n },\n {\n \"52424\": \"Did they resemble anyone?\"\n },\n {\n \"52425\": \"Whom?\"\n },\n {\n \"52426\": \"How?\"\n },\n {\n \"52427\": \"Were other speakers as cheerful as them?\"\n },\n {\n \"52428\": \"What were their presentations like?\"\n },\n {\n \"52429\": \"Did any politicians speak?\"\n },\n {\n \"52430\": \"How many?\"\n },\n {\n \"52431\": \"Who was from Michigan?\"\n },\n {\n \"52432\": \"What office has she held?\"\n },\n {\n \"52433\": \"Did people find her to be funny?\"\n },\n {\n \"52434\": \"What happens in May?\"\n },\n {\n \"52435\": \"Will Jack?\"\n },\n {\n \"52436\": \"Did the event have a certain theme?\"\n },\n {\n \"52437\": \"What was it?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"52420\",\n \"answer\": \"1,400\"\n },\n {\n \"question_id\": \"52421\",\n \"answer\": \"TED2013\"\n },\n {\n \"question_id\": \"52422\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"52423\",\n \"answer\": \"two teenagers\"\n },\n {\n \"question_id\": \"52424\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"52425\",\n \"answer\": \"Justin Bieber\"\n },\n {\n \"question_id\": \"52426\",\n \"answer\": \"their haircuts\"\n },\n {\n \"question_id\": \"52427\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"52428\",\n \"answer\": \"less hopeful.\"\n },\n {\n \"question_id\": \"52429\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"52430\",\n \"answer\": \"at least two\"\n },\n {\n \"question_id\": \"52431\",\n \"answer\": \"Jennifer Granholm\"\n },\n {\n \"question_id\": \"52432\",\n \"answer\": \"Governor\"\n },\n {\n \"question_id\": \"52433\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"52434\",\n \"answer\": \"Taylor might graduate\"\n },\n {\n \"question_id\": \"52435\",\n \"answer\": \"he's not sure\"\n },\n {\n \"question_id\": \"52436\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"52437\",\n \"answer\": \"The Young. The Wise. The Undiscovered\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Do you want to spend a holiday in space? Dennis Tito, a businessman, has become the world's first \"space tourist\". He went on a 10-day visit to the International Space Station. He paid 14 million pounds for his journey. A year later, Martin, a musician from an American band, wanted to do the same. He was only 22 years old and probably very rich too. He had to go for a lot of training to see whether he was fit enough to travel. He is still waiting for his holiday of a lifetime. Many people believe that this is only the start of something new. We made interviews among teenagers from around the world and the following is what they said about space travel. \"It's a great idea. I hope space travel will be common in about 50 years' time. I'd really love to do it and I think Mr. Tito was very lucky.\" (Kate from Australia) \"I would like to see our beautiful Earth from space. There are lots of secrets to explore in space and I would go into space if I could.\" (Ben from China) \"I think space travel is really bad for the environment. Maybe in the future they will make a cleaner way of travelling but until they do, I don't want to go. We should look after our own planet first.\"(Richard from Canada) \"It must be very boring and dangerous to sit in that small space shuttle . I'd rather take a plane and go to another place on earth.\" (Lisa from the UK) So, as you can see, many of our teenagers had different opinions. Whether you like it or not, space travel is going to become an important thing in the future. We are looking forward to hearing your opinions.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"55015\": \"What did Dennis Tito do?\"\n },\n {\n \"55016\": \"What did he do for work on Earth?\"\n },\n {\n \"55017\": \"What was the term used to describe him and what he was the first person to do?\"\n },\n {\n \"55018\": \"how much did he pay to do this?\"\n },\n {\n \"55019\": \"how long was it until the next person wanted to do the same?\"\n },\n {\n \"55020\": \"and what was the name of the person next in line?\"\n },\n {\n \"55021\": \"where was he from?\"\n },\n {\n \"55022\": \"what did he do there?\"\n },\n {\n \"55023\": \"what did he have to do before he could take a flight?\"\n },\n {\n \"55024\": \"has he been able to go yet?\"\n },\n {\n \"55025\": \"How did Kate feel about this kind of mission?\"\n },\n {\n \"55026\": \"Where is she from?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"55015\",\n \"answer\": \"He went on a 10-day visit to the International Space Station.\"\n },\n {\n \"question_id\": \"55016\",\n \"answer\": \"He was a businessman\"\n },\n {\n \"question_id\": \"55017\",\n \"answer\": \"\\\"space tourist\\\", take a holiday in space\"\n },\n {\n \"question_id\": \"55018\",\n \"answer\": \"14 million pounds\"\n },\n {\n \"question_id\": \"55019\",\n \"answer\": \"One year\"\n },\n {\n \"question_id\": \"55020\",\n \"answer\": \"Martin\"\n },\n {\n \"question_id\": \"55021\",\n \"answer\": \"America\"\n },\n {\n \"question_id\": \"55022\",\n \"answer\": \"he was a musician\"\n },\n {\n \"question_id\": \"55023\",\n \"answer\": \"He had to go for a lot of training to see whether he was fit enough to travel.\"\n },\n {\n \"question_id\": \"55024\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"55025\",\n \"answer\": \"She thinks it's a great idea\"\n },\n {\n \"question_id\": \"55026\",\n \"answer\": \"Australia\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER III. \n\nTHE END OF THE BALL. \n\nTHE priest's long journey did not appear to have fatigued him. He was as cheerful and as polite as ever--and so paternally attentive to Stella that it was quite impossible for her to pass him with a formal bow. \n\n\"I have come all the way from Devonshire,\" he said. \"The train has been behind time as usual, and I am one of the late arrivals in consequence. I miss some familiar faces at this delightful party. Mr. Romayne, for instance. Perhaps he is not one of the guests?\" \n\n\"Oh, yes.\" \n\n\"Has he gone away?\" \n\n\"Not that I know of.\" \n\nThe tone of her replies warned Father Benwell to let Romayne be. He tried another name. \n\n\"And Arthur Penrose?\" he inquired next. \n\n\"I think Mr. Penrose has left us.\" \n\nAs she answered she looked toward Lady Loring. The hostess was the center of a circle of ladies and gentlemen. Before she was at liberty, Father Benwell might take his departure. Stella resolved to make the attempt for herself which she had asked Lady Loring to make for her. It was better to try, and to be defeated, than not to try at all. \n\n\"I asked Mr. Penrose what part of Devonshire you were visiting,\" she resumed, assuming her more gracious manner. \"I know something myself of the north coast, especially the neighborhood of Clovelly.\" \n\nNot the faintest change passed over the priest's face; his fatherly smile had never been in a better state of preservation. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"77959\": \"Was anyone still with full vigor?\"\n },\n {\n \"77960\": \"Who was it?\"\n },\n {\n \"77961\": \"Why the author thought he would be tired?\"\n },\n {\n \"77962\": \"Was he amiable?\"\n },\n {\n \"77963\": \"Who was nearby?\"\n },\n {\n \"77964\": \"Did she greet him?\"\n },\n {\n \"77965\": \"What she did?\"\n },\n {\n \"77966\": \"Where he was coming from?\"\n },\n {\n \"77967\": \"What mode of tranportaion he took?\"\n },\n {\n \"77968\": \"Was the train delayed?\"\n },\n {\n \"77969\": \"Was he looking for someone specifically?\"\n },\n {\n \"77970\": \"Did he ask for any other person?\"\n },\n {\n \"77971\": \"Who was that person?\"\n },\n {\n \"77972\": \"Were he there?\"\n },\n {\n \"77973\": \"Who was the hostess?\"\n },\n {\n \"77974\": \"Did anyone ask about anyone's whereabout?\"\n },\n {\n \"77975\": \"Was the person touring some place?\"\n },\n {\n \"77976\": \"Did the priest show any emotions?\"\n },\n {\n \"77977\": \"Where all these were happeneing?\"\n },\n {\n \"77978\": \"What happened to Mr. Romayne anyway?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"77959\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"77960\",\n \"answer\": \"the priest\"\n },\n {\n \"question_id\": \"77961\",\n \"answer\": \"he had a long journey\"\n },\n {\n \"question_id\": \"77962\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"77963\",\n \"answer\": \"Stella\"\n },\n {\n \"question_id\": \"77964\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"77965\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"77966\",\n \"answer\": \"Devonshire\"\n },\n {\n \"question_id\": \"77967\",\n \"answer\": \"The train\"\n },\n {\n \"question_id\": \"77968\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"77969\",\n \"answer\": \"Mr. Romayne\"\n },\n {\n \"question_id\": \"77970\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"77971\",\n \"answer\": \"Arthur Penrose\"\n },\n {\n \"question_id\": \"77972\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"77973\",\n \"answer\": \"Lady Loring\"\n },\n {\n \"question_id\": \"77974\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"77975\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"77976\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"77977\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"77978\",\n \"answer\": \"unknown\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Greek colonies and communities have been historically established on the shores of the Mediterranean Sea and Black Sea, but the Greek people have always been centered around the Aegean and Ionian seas, where the Greek language has been spoken since the Bronze Age. Until the early 20th century, Greeks were distributed between the Greek peninsula, the western coast of Asia Minor, the Black Sea coast, Cappadocia in central Anatolia, Egypt, the Balkans, Cyprus, and Constantinople. Many of these regions coincided to a large extent with the borders of the Byzantine Empire of the late 11th century and the Eastern Mediterranean areas of ancient Greek colonization. The cultural centers of the Greeks have included Athens, Thessalonica, Alexandria, Smyrna, and Constantinople at various periods. \n\nThe evolution of Proto-Greek should be considered within the context of an early Paleo-Balkan sprachbund that makes it difficult to delineate exact boundaries between individual languages. The characteristically Greek representation of word-initial laryngeals by prothetic vowels is shared, for one, by the Armenian language, which also seems to share some other phonological and morphological peculiarities of Greek; this has led some linguists to propose a hypothetical closer relationship between Greek and Armenian, although evidence remains scant.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"85143\": \"Where were the Greek people centered?\"\n },\n {\n \"85144\": \"What is the 11th century empire associated with Greeks\"\n },\n {\n \"85145\": \"What is one place where Greeks were distributed?\"\n },\n {\n \"85146\": \"Another?\"\n },\n {\n \"85147\": \"Is America one of these regions?\"\n },\n {\n \"85148\": \"DId these regions coincide with anything?\"\n },\n {\n \"85149\": \"Is Washington a cultural center?\"\n },\n {\n \"85150\": \"What is an example of a Greek cultural center?\"\n },\n {\n \"85151\": \"Any others?\"\n },\n {\n \"85152\": \"Another?\"\n },\n {\n \"85153\": \"Is Columbus one of these cultural centers?\"\n },\n {\n \"85154\": \"Is Constantinople one?\"\n },\n {\n \"85155\": \"Does the Greek language use prothetic vowels?\"\n },\n {\n \"85156\": \"What other language is Greek speculated to be close to?\"\n },\n {\n \"85157\": \"Is there clear and overwhelming evidence of this?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"85143\",\n \"answer\": \"around the Aegean and Ionian seas\"\n },\n {\n \"question_id\": \"85144\",\n \"answer\": \"Byzantine Empire\"\n },\n {\n \"question_id\": \"85145\",\n \"answer\": \"Greek peninsula\"\n },\n {\n \"question_id\": \"85146\",\n \"answer\": \"the western coast of Asia Minor\"\n },\n {\n \"question_id\": \"85147\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"85148\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"85149\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"85150\",\n \"answer\": \"Athens\"\n },\n {\n \"question_id\": \"85151\",\n \"answer\": \"Thessalonica\"\n },\n {\n \"question_id\": \"85152\",\n \"answer\": \"Alexandria\"\n },\n {\n \"question_id\": \"85153\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"85154\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"85155\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"85156\",\n \"answer\": \"Armenian\"\n },\n {\n \"question_id\": \"85157\",\n \"answer\": \"No\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Pragmatism is a philosophical tradition that began in the United States around 1870. Its origins are often attributed to the philosophers William James, John Dewey, and Charles Sanders Peirce. Peirce later described it in his pragmatic maxim: \"Consider the practical effects of the objects of your conception. Then, your conception of those effects is the whole of your conception of the object.\" \n\nPragmatism considers thought an instrument or tool for prediction, problem solving and action, and rejects the idea that the function of thought is to describe, represent, or mirror reality. Pragmatists contend that most philosophical topics—such as the nature of knowledge, language, concepts, meaning, belief, and science—are all best viewed in terms of their practical uses and successes. The philosophy of pragmatism \"emphasizes the practical application of ideas by acting on them to actually test them in human experiences\". Pragmatism focuses on a \"changing universe rather than an unchanging one as the Idealists, Realists and Thomists had claimed\". \n\nPragmatism as a philosophical movement began in the United States in the 1870s. Charles Sanders Peirce (and his Pragmatic Maxim) is given credit for its development, along with later twentieth century contributors, William James and John Dewey. Its direction was determined by The Metaphysical Club members Charles Sanders Peirce, William James, and Chauncey Wright, as well as John Dewey and George Herbert Mead.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"23546\": \"What is an instrument for prediction?\"\n },\n {\n \"23547\": \"What uses these ideas?\"\n },\n {\n \"23548\": \"Who used this school of thought?\"\n },\n {\n \"23549\": \"who else?\"\n },\n {\n \"23550\": \"and?\"\n },\n {\n \"23551\": \"What is a philosophical topic?\"\n },\n {\n \"23552\": \"Another?\"\n },\n {\n \"23553\": \"And?\"\n },\n {\n \"23554\": \"How about another?\"\n },\n {\n \"23555\": \"When did this movement start?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"23546\",\n \"answer\": \"Thought.\"\n },\n {\n \"question_id\": \"23547\",\n \"answer\": \"Pragmatists\"\n },\n {\n \"question_id\": \"23548\",\n \"answer\": \"Charles Sanders Peirce\"\n },\n {\n \"question_id\": \"23549\",\n \"answer\": \"William James\"\n },\n {\n \"question_id\": \"23550\",\n \"answer\": \"John Dewey.\"\n },\n {\n \"question_id\": \"23551\",\n \"answer\": \"The nature of knowledge.\"\n },\n {\n \"question_id\": \"23552\",\n \"answer\": \"Language.\"\n },\n {\n \"question_id\": \"23553\",\n \"answer\": \"Concepts.\"\n },\n {\n \"question_id\": \"23554\",\n \"answer\": \"Meaning.\"\n },\n {\n \"question_id\": \"23555\",\n \"answer\": \"1870s.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n New York (CNN) -- A self-described \"ex-madam\" who claims she supplied fellow city comptroller candidate Eliot Spitzer with escorts several years ago is facing charges of illegally distributing prescription drugs, authorities said. \n\nKristin Davis, 38, was arrested on Monday night and charged with selling Adderall, Xanax and other drugs. She's also accused of orchestrating the sale of approximately 180 oxycodone pills for cash. \n\nThe candidate was released Tuesday on $100,000 bail, with a preliminary hearing scheduled for September 5. Prosecutors said she will have strict pretrial supervision. \n\n\"Prescription drug abuse is the fastest-growing drug problem in this country, resulting in more overdose deaths than heroin and cocaine combined, and this office has a zero tolerance policy towards anyone who helps to spread this plague at any level,\" Preet Bharara, Manhattan U.S. Attorney, said in a statement. \n\nSpitzer, Weiner and why New York is talking about sex \n\nDavis is charged with four counts of distributing and possessing with intent to distribute a controlled substance. She faces a maximum sentence of 20 years in prison for each count, if convicted. \n\nProsecutors allege that from 2009 through 2011 Davis bought ecstasy pills, Adderall pills and Xanax pills from an FBI cooperating witness at least once a month, paying hundreds of dollars for each purchase. She told the witness she provided these drugs to people at house parties, authorities say. \n\nAn attorney for Davis was could not be immediately reached for comment. \n\nDavis' campaign manager, Andrew Miller, said he was aware of the arrest but couldn't provide any information. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"63065\": \"Who was arrested on Monday?\"\n },\n {\n \"63066\": \"During the day or night?\"\n },\n {\n \"63067\": \"How old is she?\"\n },\n {\n \"63068\": \"Was she charged with anything?\"\n },\n {\n \"63069\": \"Was she accused of selling oxycodone pills?\"\n },\n {\n \"63070\": \"For sex?\"\n },\n {\n \"63071\": \"What then?\"\n },\n {\n \"63072\": \"How many pills?\"\n },\n {\n \"63073\": \"What sentence does she face?\"\n },\n {\n \"63074\": \"What did Davis' attorney have to say?\"\n },\n {\n \"63075\": \"Why?\"\n },\n {\n \"63076\": \"Is Davis' campaign manager a man or woman?\"\n },\n {\n \"63077\": \"What is his name?\"\n },\n {\n \"63078\": \"Was he aware of the arrest?\"\n },\n {\n \"63079\": \"What information could he provide?\"\n },\n {\n \"63080\": \"Was Davis released?\"\n },\n {\n \"63081\": \"When?\"\n },\n {\n \"63082\": \"How much was the bail set at?\"\n },\n {\n \"63083\": \"Did the judge schedule a hearing?\"\n },\n {\n \"63084\": \"For when?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"63065\",\n \"answer\": \"Kristin Davis\"\n },\n {\n \"question_id\": \"63066\",\n \"answer\": \"night\"\n },\n {\n \"question_id\": \"63067\",\n \"answer\": \"38\"\n },\n {\n \"question_id\": \"63068\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"63069\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"63070\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"63071\",\n \"answer\": \"cash\"\n },\n {\n \"question_id\": \"63072\",\n \"answer\": \"180\"\n },\n {\n \"question_id\": \"63073\",\n \"answer\": \"20 years in prison\"\n },\n {\n \"question_id\": \"63074\",\n \"answer\": \"Nothing\"\n },\n {\n \"question_id\": \"63075\",\n \"answer\": \"could not be reached for comment.\"\n },\n {\n \"question_id\": \"63076\",\n \"answer\": \"Man\"\n },\n {\n \"question_id\": \"63077\",\n \"answer\": \"Andrew Miller\"\n },\n {\n \"question_id\": \"63078\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"63079\",\n \"answer\": \"none\"\n },\n {\n \"question_id\": \"63080\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"63081\",\n \"answer\": \"Tuesday\"\n },\n {\n \"question_id\": \"63082\",\n \"answer\": \"$100,000\"\n },\n {\n \"question_id\": \"63083\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"63084\",\n \"answer\": \"September 5\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER III \n\nOn the third day after Nina's visit to her aunt, Ziska Zamenoy came across to the Kleinseite on a visit to old Balatka. In the mean time Nina had told the story of her love to her father, and the effect on Balatka had simply been that he had not got out of his bed since. For himself he would have cared, perhaps, but little as to the Jewish marriage, had he not known that those belonging to him would have cared so much. He had no strong religious prejudice of his own, nor indeed had he strong feeling of any kind. He loved his daughter, and wished her well; but even for her he had been unable to exert himself in his younger days, and now simply expected from her hands all the comfort which remained to him in this world. The priest he knew would attack him, and to the priest he would be able to make no answer. But to Trendellsohn, Jew as he was, he would trust in worldly matters, rather than to the Zamenoys; and were it not that he feared the Zamenoys, and could not escape from his close connection with them, he would have been half inclined to let the girl marry the Jew. Souchey, indeed, had frightened him on the subject when it had first been mentioned to him; and Nina, coming with her own assurance so quickly after Souchey's suspicion, had upset him; but his feeling in regard to Nina had none of that bitter anger, no touch of that abhorrence which animated the breast of his sister-in-law. When Ziska came to him he was alone in his bedroom. Ziska had heard the news, as had all the household in the Windberg-gasse, and had come over to his uncle's house to see what he could do, by his own diplomacy, to put an end to an engagement which was to him doubly calamitous. \"Uncle Josef,\" he said, sitting by the old man's bed, \"have you heard what Nina is doing?\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"66596\": \"who had Nina visited?\"\n },\n {\n \"66597\": \"who is her dad?\"\n },\n {\n \"66598\": \"did he love his daughter?\"\n },\n {\n \"66599\": \"Did the News Nina give him have a positive effect?\"\n },\n {\n \"66600\": \"what happened?\"\n },\n {\n \"66601\": \"where did Ziska go?\"\n },\n {\n \"66602\": \"who would attack Balatka?\"\n },\n {\n \"66603\": \"would he be able to explain things to the priest?\"\n },\n {\n \"66604\": \"what was the person Nina wanted to marry?\"\n },\n {\n \"66605\": \"who was it because of that he greed to the relationship?\"\n },\n {\n \"66606\": \"what did they do to him?\"\n },\n {\n \"66607\": \"was he able to leave them?\"\n },\n {\n \"66608\": \"who had warned him about the marriage before Nina?\"\n },\n {\n \"66609\": \"was he with anyone when Ziska came?\"\n },\n {\n \"66610\": \"what Balatka expect from Nina?\"\n },\n {\n \"66611\": \"did everybody know what was going on?\"\n },\n {\n \"66612\": \"where was the household?\"\n },\n {\n \"66613\": \"what did he call his uncle?\"\n },\n {\n \"66614\": \"what did he want to help with?\"\n },\n {\n \"66615\": \"why?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"66596\",\n \"answer\": \"her aunt,\"\n },\n {\n \"question_id\": \"66597\",\n \"answer\": \"Balatka\"\n },\n {\n \"question_id\": \"66598\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66599\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"66600\",\n \"answer\": \"he had not got out of his bed since.\"\n },\n {\n \"question_id\": \"66601\",\n \"answer\": \"Kleinseite\"\n },\n {\n \"question_id\": \"66602\",\n \"answer\": \"The priest he knew\"\n },\n {\n \"question_id\": \"66603\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"66604\",\n \"answer\": \"Jewish\"\n },\n {\n \"question_id\": \"66605\",\n \"answer\": \"the Zamenoys\"\n },\n {\n \"question_id\": \"66606\",\n \"answer\": \"he feared them\"\n },\n {\n \"question_id\": \"66607\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"66608\",\n \"answer\": \"Souchey,\"\n },\n {\n \"question_id\": \"66609\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"66610\",\n \"answer\": \"all the comfort which remained to him\"\n },\n {\n \"question_id\": \"66611\",\n \"answer\": \"Ziska had heard the news, as had all the household\"\n },\n {\n \"question_id\": \"66612\",\n \"answer\": \"Windberg-gasse,\"\n },\n {\n \"question_id\": \"66613\",\n \"answer\": \"Josef\"\n },\n {\n \"question_id\": \"66614\",\n \"answer\": \"put an end to an engagement\"\n },\n {\n \"question_id\": \"66615\",\n \"answer\": \"it was doubly calamitous to him.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER IX \n\nFOILED \n\n\"We seem to be just in time, Mr. Hurd,\" Wilhelmina said. \"Do you mind coming back for a moment into your study? Mr. Macheson and I have something to say to you.\" \n\nHe glanced at his watch. He was wholly unable to conceal his annoyance at their appearance. \n\n\"I am afraid,\" he said, with strained civility, \"that I can only spare a couple of minutes.\" \n\n\"You are going to town?\" she asked, as he reluctantly followed her. \n\n\"Yes!\" he answered. \"Mr. White wished to see me early to-morrow morning about the new leases, and I have to go before the committee about this Loughborough water scheme.\" \n\n\"These are my affairs,\" she said, \"so if you should miss your train, the responsibility will be mine.\" \n\n\"I can spare five minutes,\" he answered, \"but I cannot miss that train. I have some private engagements. And, madam,\" he continued, struggling with his anger, \"I beg that you will not forget that even if I am in your employ, this is my house, and I will not have that man in it!\" \n\nHe pointed to Macheson, who was standing upon the threshold. Wilhelmina stood between the two. \n\n\"Mr. Hurd,\" she said, \"please control yourself. There is no reason why we should any of us quarrel. Mr. Macheson and I are here to speak to you of a matter in which he has become concerned. I asked him to come here with me. We have come to see you about Letty!\" \n\n\"What about her?\" he demanded, with some attempt at bravado. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"66800\": \"Who asked Mr. Macheson to come with her?\"\n },\n {\n \"66801\": \"Who had they come to see Mr. Hurd about?\"\n },\n {\n \"66802\": \"Was Mr. Hurd very patient?\"\n },\n {\n \"66803\": \"What was he attempting to show?\"\n },\n {\n \"66804\": \"Was he able to conceal his annoyance at Wilhelmina and Macheson?\"\n },\n {\n \"66805\": \"How many minutes did he declare he could spare?\"\n },\n {\n \"66806\": \"With what type of civility did he say it?\"\n },\n {\n \"66807\": \"Where was Mr. Hurd trying to go?\"\n },\n {\n \"66808\": \"Who wanted to see him there?\"\n },\n {\n \"66809\": \"When?\"\n },\n {\n \"66810\": \"Regarding what?\"\n },\n {\n \"66811\": \"Was he expected to speak before a group of people?\"\n },\n {\n \"66812\": \"About what?\"\n },\n {\n \"66813\": \"What did Mr. Hurd insist he didn't want to miss?\"\n },\n {\n \"66814\": \"Is Mr. Hurd in Wilhelmina's employ?\"\n },\n {\n \"66815\": \"Is it her house?\"\n },\n {\n \"66816\": \"What man doesn't he want in it?\"\n },\n {\n \"66817\": \"Where was he standing?\"\n },\n {\n \"66818\": \"And Wilhelmina?\"\n },\n {\n \"66819\": \"Is there any reason for any of them to quarrel?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"66800\",\n \"answer\": \"Wilhelmina\"\n },\n {\n \"question_id\": \"66801\",\n \"answer\": \"Letty\"\n },\n {\n \"question_id\": \"66802\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"66803\",\n \"answer\": \"bravado\"\n },\n {\n \"question_id\": \"66804\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"66805\",\n \"answer\": \"five\"\n },\n {\n \"question_id\": \"66806\",\n \"answer\": \"strained civility\"\n },\n {\n \"question_id\": \"66807\",\n \"answer\": \"to town\"\n },\n {\n \"question_id\": \"66808\",\n \"answer\": \"Mr. White\"\n },\n {\n \"question_id\": \"66809\",\n \"answer\": \"early to-morrow morning\"\n },\n {\n \"question_id\": \"66810\",\n \"answer\": \"the new leases\"\n },\n {\n \"question_id\": \"66811\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66812\",\n \"answer\": \"the Loughborough water scheme\"\n },\n {\n \"question_id\": \"66813\",\n \"answer\": \"the train\"\n },\n {\n \"question_id\": \"66814\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66815\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"66816\",\n \"answer\": \"Macheson\"\n },\n {\n \"question_id\": \"66817\",\n \"answer\": \"upon the threshold\"\n },\n {\n \"question_id\": \"66818\",\n \"answer\": \"between the two\"\n },\n {\n \"question_id\": \"66819\",\n \"answer\": \"no\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n As Danny put his lunch tray onto the cafeteria table, milk spilled all over his sandwich. \"This is the worst thing I've ever done!\" he said, \"It's not that bad,\" said his friend Elena, who was sitting across from him. \"Just get another sandwich.\" \"Sandwich? What sandwich? I am talking about the talent contest . It's only two weeks away and I don't know what I'm doing! Everybody will laugh at me. There's no way to avoid it!\" \"Don't be so _ , Danny,\" said Elena as she rolled her eyes. \"You're going to be great. You have the skills to do just about anything.\" Danny moved his lunch tray to the side and rested his head on the table. \"Sit up Danny,\" ordered Elena, \"I have an idea. Let's brainstorm a list of things you could do. We'll divide the list into categories or groups. Let's start with music. You play the piano, right?\" \"I stopped taking lessons in the third grade,\" said Danny. \"What about singing a song?\" suggested Elena. Danny shook his head no. \"Let's move on to another category.\" \"What about performing magic tricks?\" asked Elena, as she twisted thin strands of hair around her finger. \"I don't know how to play magic tricks!\" Danny almost shouted. \"Stop being so...\" Elena paused, \"That's it, DRAMATIC!\" Elena shouted excitedly. \"You could do a dramatic reading. You definitely have the talent for it. Mrs. Pace always calls on you to read aloud in class. You could read a play aloud. Maybe you could even get extra credit from Mrs. Pace. She rewards students with points for doing extra reading work.\" Danny thought for a minute. Then he smiled. \"Elena,\" Danny said, \"You are a great friend!\" Elena smiled back. \"I just want to make sure you are a bright, shiny star when you step out on stage.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"30089\": \"what was Danny talking about?\"\n },\n {\n \"30090\": \"with who?\"\n },\n {\n \"30091\": \"who is one of their teachers?\"\n },\n {\n \"30092\": \"what did Danny spill on his sandwich?\"\n },\n {\n \"30093\": \"where was he at the time?\"\n },\n {\n \"30094\": \"where did he put his tray?\"\n },\n {\n \"30095\": \"what did Elena tell him to do about it?\"\n },\n {\n \"30096\": \"how soon was the talent contest?\"\n },\n {\n \"30097\": \"where did Danny rest his head?\"\n },\n {\n \"30098\": \"what instrument does he play?\"\n },\n {\n \"30099\": \"could he also sing?\"\n },\n {\n \"30100\": \"did he know any tricks?\"\n },\n {\n \"30101\": \"was he yelling?\"\n },\n {\n \"30102\": \"how did Elena think he was being?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"30089\",\n \"answer\": \"The talent contest\"\n },\n {\n \"question_id\": \"30090\",\n \"answer\": \"Elena\"\n },\n {\n \"question_id\": \"30091\",\n \"answer\": \"Mrs. Pace\"\n },\n {\n \"question_id\": \"30092\",\n \"answer\": \"Milk\"\n },\n {\n \"question_id\": \"30093\",\n \"answer\": \"The cafeteria\"\n },\n {\n \"question_id\": \"30094\",\n \"answer\": \"The cafeteria table\"\n },\n {\n \"question_id\": \"30095\",\n \"answer\": \"To get another sandwich\"\n },\n {\n \"question_id\": \"30096\",\n \"answer\": \"Two weeks\"\n },\n {\n \"question_id\": \"30097\",\n \"answer\": \"On the table.\"\n },\n {\n \"question_id\": \"30098\",\n \"answer\": \"The piano\"\n },\n {\n \"question_id\": \"30099\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"30100\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"30101\",\n \"answer\": \"Almost\"\n },\n {\n \"question_id\": \"30102\",\n \"answer\": \"DRAMATIC\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXI. \n\nWhile Bathurst was busying himself completing his preparations for the attempt, Rabda came in with her father. \n\n\"My lord,\" she said, \"I tremble at the thought of your venturing your life. My life is of no importance, and it belongs to you. What I would propose is this. My father will go to Bithoor, and will obtain an order from one of the Nana's officers for a lady of the zenana to visit the prisoners. I will go in veiled, as I was on the day I went there. I will change garments with the lady, and she can come out veiled, and meet you outside.\" \n\n\"I would not dream of such a thing, Rabda. You would be killed to a certainty when they discovered the trick. Even if I would consent to the sacrifice, Miss Hannay would not do so. I am deeply grateful to you for proposing it, but it is impossible. You will see that, with the aid of your father, I shall succeed.\" \n\n\"I told her that would be your answer, sahib,\" Rujub said, \"but she insisted on making the offer.\" \n\nIt was arranged that they were to start at nine o'clock, as it was safer to make the attempt before everything became quiet. Before starting, Rabda was again placed in a trance. In reply to her father's questions she said that Mary Hunter was dead, and that Isobel was lying down. She was told to tell her that in an hour she was to be at the window next to the door. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"23675\": \"Is Rabda a boy or a girl?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"23675\",\n \"answer\": \"girl\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n To unambiguously specify the date, dual dating or Old Style (O.S.) and New Style (N.S.) are sometimes used with dates. Dual dating uses two consecutive years because of differences in the starting date of the year, or includes both the Julian and Gregorian dates. Old Style and New Style (N.S.) indicate either whether the start of the Julian year has been adjusted to start on 1 January (N.S.) even though documents written at the time use a different start of year (O.S.), or whether a date conforms to the Julian calendar (O.S.) rather than the Gregorian (N.S.). \n\nThe Gregorian calendar was a reform of the Julian calendar instituted in 1582 by Pope Gregory XIII, after whom the calendar was named, by papal bull Inter gravissimas dated 24 February 1582. The motivation for the adjustment was to bring the date for the celebration of Easter to the time of year in which it was celebrated when it was introduced by the early Church. Although a recommendation of the First Council of Nicaea in 325 specified that all Christians should celebrate Easter on the same day, it took almost five centuries before virtually all Christians achieved that objective by adopting the rules of the Church of Alexandria (see Easter for the issues which arose).\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"48174\": \"Which calendar is the Gregorian based on?\"\n },\n {\n \"48175\": \"Who decided to do it?\"\n },\n {\n \"48176\": \"Pope Francis?\"\n },\n {\n \"48177\": \"Which?\"\n },\n {\n \"48178\": \"Is that where the word Gregorian came from?\"\n },\n {\n \"48179\": \"Did this happen in the sixteenth century?\"\n },\n {\n \"48180\": \"What was the exact date it was first introduced?\"\n },\n {\n \"48181\": \"Was it made because of Christmas?\"\n },\n {\n \"48182\": \"What celebration was at the root of this new calendar?\"\n },\n {\n \"48183\": \"What was their goal regarding Easter?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"48174\",\n \"answer\": \"a reform of the Julian calenda\"\n },\n {\n \"question_id\": \"48175\",\n \"answer\": \"the pope\"\n },\n {\n \"question_id\": \"48176\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"48177\",\n \"answer\": \"ope Gregory XIII\"\n },\n {\n \"question_id\": \"48178\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"48179\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48180\",\n \"answer\": \"24 February 1582\"\n },\n {\n \"question_id\": \"48181\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"48182\",\n \"answer\": \"bring the date for the celebration of Easter t\"\n },\n {\n \"question_id\": \"48183\",\n \"answer\": \"all Christians should celebrate Easter on the same day,\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The Republic of the Congo (French: République du Congo), also known as Congo, Congo Republic, West Congo[citation needed], or Congo-Brazzaville, is a country located in Central Africa. It is bordered by five countries: Gabon to the west; Cameroon to the northwest; the Central African Republic to the northeast; the Democratic Republic of the Congo to the east and south; and the Angolan exclave of Cabinda to the southwest. \n\nThe region was dominated by Bantu-speaking tribes, who built trade links leading into the Congo River basin. Congo-Brazzaville was formerly part of the French colony of Equatorial Africa. Upon independence in 1960, the former colony of French Congo became the Republic of the Congo. The People's Republic of the Congo was a Marxist–Leninist one-party state from 1970 to 1991. Multi-party elections have been held since 1992, although a democratically elected government was ousted in the 1997 Republic of the Congo Civil War and President Denis Sassou Nguesso has ruled for 26 of the past 36 years.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"54998\": \"Who ruled for 26 years?\"\n },\n {\n \"54999\": \"Which language is spoken?\"\n },\n {\n \"55000\": \"What did they build?\"\n },\n {\n \"55001\": \"to what?\"\n },\n {\n \"55002\": \"Were they a colony?\"\n },\n {\n \"55003\": \"What country?\"\n },\n {\n \"55004\": \"Who ruled the colony?\"\n },\n {\n \"55005\": \"Which nation once ruled over the colony?\"\n },\n {\n \"55006\": \"When was independence gained from the French?\"\n },\n {\n \"55007\": \"Were elections held?\"\n },\n {\n \"55008\": \"When?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"54998\",\n \"answer\": \"President Denis Sassou Nguesso\"\n },\n {\n \"question_id\": \"54999\",\n \"answer\": \"Bantu\"\n },\n {\n \"question_id\": \"55000\",\n \"answer\": \"trade links\"\n },\n {\n \"question_id\": \"55001\",\n \"answer\": \"the Congo River basin\"\n },\n {\n \"question_id\": \"55002\",\n \"answer\": \"formerly\"\n },\n {\n \"question_id\": \"55003\",\n \"answer\": \"Africa\"\n },\n {\n \"question_id\": \"55004\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"55005\",\n \"answer\": \"Bantu-speaking tribes\"\n },\n {\n \"question_id\": \"55006\",\n \"answer\": \"1960\"\n },\n {\n \"question_id\": \"55007\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"55008\",\n \"answer\": \"since 1992\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n HARARE, Zimbabwe (CNN) -- Political corruption in Zimbabwe threatens efforts to save millions of people from malaria in the southern African country, according to aid agency officials. \n\nHIV-positive 13-year-old orphan Evans Mahlangu, left, and his brother Edmond, 8, had to jump Zimbabwe's border with Mozambique to get anti-retroviral drugs. \n\nThe Global Fund to Fight AIDS, Tuberculosis and Malaria has demanded that Zimbabwe's government return $7.3 million placed in the country's reserve bank to pay for the distribution medicine that can cure malaria, according to the group's spokesman. \n\nA senior western diplomat in Zimbabwe told CNN he believes the money was taken by Zimbabwe President Robert Mugabe's government to fund political activities. He accused reserve bank governor Gideon Gono of involvement. \n\n\"This could put millions of people in Zimbabwe at risk of malaria in the current malaria season,\" said John Linden, spokesman for the group which is a leading international financing institution for those diseases. \n\nLinden said his group has given Zimbabwe until Thursday to repay the money or else no more aid will be sent to the country. \n\n\"At this stage we do not have confidence in the reserve bank's ability to release the money when needed, so we have demanded that all the money be released immediately,\" Linden said. \n\nThe money was intended to train thousands of health workers to distribute the malaria cure, medicine that is already available but sits on shelves. \n\nCNN's Kim Norgaard in Johannesburg, South Africa contributed to this report. \n\n\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57649\": \"Who is the President of Zimbabwe?\"\n },\n {\n \"57650\": \"How much money is he accused of misusing?\"\n },\n {\n \"57651\": \"Who does he claim is responsible, instead?\"\n },\n {\n \"57652\": \"What illness, in particular, could be cured by those funds?\"\n },\n {\n \"57653\": \"How long does the country have to repay the funds?\"\n },\n {\n \"57654\": \"Or what will be witheld?\"\n },\n {\n \"57655\": \"According to whom?\"\n },\n {\n \"57656\": \"What was the money intended for?\"\n },\n {\n \"57657\": \"How many workers are in need of training?\"\n },\n {\n \"57658\": \"Is the medicine readily available?\"\n },\n {\n \"57659\": \"How many people are at risk of Malaria in Zimbabwe?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"57649\",\n \"answer\": \"Robert Mugabe\"\n },\n {\n \"question_id\": \"57650\",\n \"answer\": \"$7.3 million\"\n },\n {\n \"question_id\": \"57651\",\n \"answer\": \"Gideon Gono\"\n },\n {\n \"question_id\": \"57652\",\n \"answer\": \"malaria\"\n },\n {\n \"question_id\": \"57653\",\n \"answer\": \"until Thursday\"\n },\n {\n \"question_id\": \"57654\",\n \"answer\": \"aide\"\n },\n {\n \"question_id\": \"57655\",\n \"answer\": \"Linden\"\n },\n {\n \"question_id\": \"57656\",\n \"answer\": \"to pay for distribution medicine\"\n },\n {\n \"question_id\": \"57657\",\n \"answer\": \"thousands\"\n },\n {\n \"question_id\": \"57658\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"57659\",\n \"answer\": \"millions\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Cambridge University Press (CUP) is the publishing business of the University of Cambridge. Granted letters patent by Henry VIII in 1534, it is the world's oldest publishing house and the second-largest university press in the world (after Oxford University Press). It also holds letters patent as the Queen's Printer. \n\nThe Press's mission is \"To further the University's mission by disseminating knowledge in the pursuit of education, learning and research at the highest international levels of excellence.\" \n\nCambridge University Press is a department of the University of Cambridge and is both an academic and educational publisher. With a global sales presence, publishing hubs, and offices in more than 40 countries, it publishes over 50,000 titles by authors from over 100 countries. Its publishing includes academic journals, monographs, reference works, textbooks, and English-language teaching and learning publications. Cambridge University Press is a charitable enterprise that transfers part of its annual surplus back to the university. \n\nCambridge University Press is both the oldest publishing house in the world and the oldest university press. It originated from Letters Patent granted to the University of Cambridge by Henry VIII in 1534, and has been producing books continuously since the first University Press book was printed. Cambridge is one of the two privileged presses (the other being Oxford University Press). Authors published by Cambridge have included John Milton, William Harvey, Isaac Newton, Bertrand Russell, and Stephen Hawking.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"81528\": \"What does CUP stand for?\"\n },\n {\n \"81529\": \"What is it?\"\n },\n {\n \"81530\": \"For what institution?\"\n },\n {\n \"81531\": \"True or False: CUP is an exclusively academic publisher.\"\n },\n {\n \"81532\": \"What other kind of publisher is it?\"\n },\n {\n \"81533\": \"Does CUP keep all of its income for itself?\"\n },\n {\n \"81534\": \"To whom does it send some money?\"\n },\n {\n \"81535\": \"When did the CUP begin?\"\n },\n {\n \"81536\": \"What was the school granted that year?\"\n },\n {\n \"81537\": \"Who granted the Letters Patent?\"\n },\n {\n \"81538\": \"Has the CUP ever stopped printing books since then?\"\n },\n {\n \"81539\": \"What is the name of a writer whose work has been published by CUP?\"\n },\n {\n \"81540\": \"And another?\"\n },\n {\n \"81541\": \"And one more?\"\n },\n {\n \"81542\": \"True or False: The press only publishes works from British authors.\"\n },\n {\n \"81543\": \"How many countries have had work published by them?\"\n },\n {\n \"81544\": \"How many titles does CUP publish?\"\n },\n {\n \"81545\": \"Does it print monographs?\"\n },\n {\n \"81546\": \"Comic books?\"\n },\n {\n \"81547\": \"Journals?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"81528\",\n \"answer\": \"Cambridge University Press\"\n },\n {\n \"question_id\": \"81529\",\n \"answer\": \"publishing business\"\n },\n {\n \"question_id\": \"81530\",\n \"answer\": \"University of Cambridge\"\n },\n {\n \"question_id\": \"81531\",\n \"answer\": \"false\"\n },\n {\n \"question_id\": \"81532\",\n \"answer\": \"educational\"\n },\n {\n \"question_id\": \"81533\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"81534\",\n \"answer\": \"the university.\"\n },\n {\n \"question_id\": \"81535\",\n \"answer\": \"1534\"\n },\n {\n \"question_id\": \"81536\",\n \"answer\": \"Oxford University Press\"\n },\n {\n \"question_id\": \"81537\",\n \"answer\": \"Henry VIII\"\n },\n {\n \"question_id\": \"81538\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"81539\",\n \"answer\": \"John Milton,\"\n },\n {\n \"question_id\": \"81540\",\n \"answer\": \"William Harvey\"\n },\n {\n \"question_id\": \"81541\",\n \"answer\": \"Isaac Newton\"\n },\n {\n \"question_id\": \"81542\",\n \"answer\": \"False\"\n },\n {\n \"question_id\": \"81543\",\n \"answer\": \"100\"\n },\n {\n \"question_id\": \"81544\",\n \"answer\": \"50000\"\n },\n {\n \"question_id\": \"81545\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"81546\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"81547\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n McCune–Reischauer romanization () is one of the two most widely used Korean language romanization systems. A modified version of McCune–Reischauer was the official romanization system in South Korea until 2000, when it was replaced by the Revised Romanization of Korean system. A variant of McCune–Reischauer is still used as the official system in North Korea. \n\nThe system was created in 1937 by George M. McCune and Edwin O. Reischauer. With a few exceptions, it attempts not to transliterate Korean hangul but to represent the phonetic pronunciation. McCune–Reischauer is widely used outside Korea. \n\nKorean has phonologically no distinction between voiced and voiceless consonants, but it phonetically distinguishes them. Aspirated consonants like \"p'\", \"k'\", and \"t'\" are distinguished by apostrophe from unaspirated ones, which may be falsely understood as a separator between syllables (as in → \"twich'agi\", which consists of the syllables \"twi\", \"ch'a\" and \"gi\"). The apostrophe is also used to mark transcriptions of (\"n'g\") as opposed to (\"ng\"): → \"chan'gŭm\" vs. → \"changŭm\"). \n\nCritics of the McCune–Reischauer system claim that casual users of the system omit the breves ( ˘ ) over the \"o\" for and the \"u\" for because typing \"o\" or \"u\" without the breves is often easier than adding them. That can lead to confusion over whether the \"o\" being romanized is or or the \"u\" being Romanized is or . Casual users also often omit the apostrophe that differentiates aspirated consonants (, , , and ) from their unaspirated counterparts (, , , and ), which can also lead to confusion.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"22208\": \"How many romanization systems does Korea predominately use?\"\n },\n {\n \"22209\": \"Which is the official system?\"\n },\n {\n \"22210\": \"Who created the McCune-Reischauer system?\"\n },\n {\n \"22211\": \"Did he have help?\"\n },\n {\n \"22212\": \"From who?\"\n },\n {\n \"22213\": \"What year was it created?\"\n },\n {\n \"22214\": \"How long was it the official South Korean system?\"\n },\n {\n \"22215\": \"In what country is a variant of the original still the official system?\"\n },\n {\n \"22216\": \"Is used elsewhere, also?\"\n },\n {\n \"22217\": \"Does it attempt to translate characters, or sound them out?\"\n },\n {\n \"22218\": \"What do casual users sometime leave out?\"\n },\n {\n \"22219\": \"What punctuation is used to separate aspirated and non-aspirated consonants?\"\n },\n {\n \"22220\": \"What can it be mistaken for?\"\n },\n {\n \"22221\": \"What are a few consonants that use this puncuation?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"22208\",\n \"answer\": \"Two.\"\n },\n {\n \"question_id\": \"22209\",\n \"answer\": \"The Revised Romanization of Korean system\"\n },\n {\n \"question_id\": \"22210\",\n \"answer\": \"George M. McCune.\"\n },\n {\n \"question_id\": \"22211\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"22212\",\n \"answer\": \"Edwin O. Reischauer.\"\n },\n {\n \"question_id\": \"22213\",\n \"answer\": \"1937 .\"\n },\n {\n \"question_id\": \"22214\",\n \"answer\": \"Until 2000.\"\n },\n {\n \"question_id\": \"22215\",\n \"answer\": \"North Korea.\"\n },\n {\n \"question_id\": \"22216\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"22217\",\n \"answer\": \"Sound them out.\"\n },\n {\n \"question_id\": \"22218\",\n \"answer\": \"The apostrophe.\"\n },\n {\n \"question_id\": \"22219\",\n \"answer\": \"The apostrophe.\"\n },\n {\n \"question_id\": \"22220\",\n \"answer\": \"A separator between syllables.\"\n },\n {\n \"question_id\": \"22221\",\n \"answer\": \"\\\"P'\\\", \\\"k'\\\", and \\\"t.\\\"\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n A disheveled man appeared in court Thursday on charges of murdering a Chinese woman whose fight with her attacker was seen on webcam by her boyfriend in China. Police refused to release any details about the crime or its possible motive. \n\nThe body of York University student Liu Qian, 23, of Beijing, was found Friday in her apartment in Toronto a few hours after her boyfriend witnessed the attack, police said. \n\nShe was found undressed from the waist down but there were no obvious signs of sexual attack or trauma severe enough to kill her. Police say it may be weeks before the results of an autopsy are known. \n\nBrian Dickson, 29, stood before the court in a wrinkled white shirt and blue jeans as a charge of first- degree murder was read out. He did not enter a plea. His case was held over until April 26. \n\nDickson was arrested Wednesday. Police only announced his name and his age and asked the media not to publish any photos of Dickson, saying it could compromise the investigation. Toronto police spokesman Tony Vella declined to respond to the request further. \n\nLiu's father, Liu Jianhui, who arrived from China after being informed of his daughter's death, thanked authorities for their quick action. \n\n\"I sincerely thank the people concerned with my daughter's case,\" he told reporters after the arrest. \"Our daughter was studying very hard.\" \n\nPolice released no motive or details about Dickson, but one friend described the Toronto man as _ . \n\nPatricia Tomasi, a friend of Dickson's, told The Associated Press that she acted in a play at a local theater in Toronto with Dickson in 2007. \n\n\"He doesn't seem like the type but that's what they always say,\" Tomasi said. \"He's tall with boyish good looks. I don't know much about him except that he wanted to be an actor.\" \n\nDickson attended York University where he studied global politics, but did not earn a degree from there. \n\nHe later worked for the Atlantic Council of Canada (ACC), where he served as an assistant to the president Juilie Lindhout. According to his biography on a newsletter from the Atlantic Council of Canada, Dickson has also been a running instructor and has been involved with Developments in Literacy, a Pakistani aid organization that raises money for children in Pakistan. \n\nA statement from the Atlantic Council of Canada on Thursday said it was not council policy to comment on staff, but it confirmed that Dickson had been an intern with the council from September 29, 2008, until March 27, 2009. \n\nLiu was chatting with her boyfriend, Meng Xianchao, by webcam at about 1 am. Friday when a man knocked on the door, police said. \n\nMeng reported seeing a struggle break out between the two before Liu's webcam was shut off. Meng contacted other friends in Toronto who in turn called police. \n\nThe victim's father, Liu Jianhui, said his daughter studied at Beijing City University before moving to Canada, where she met Meng. \n\nLiu Qian's laptop computer, webcam and mobile phone were taken from the apartment the night of the attack, police said. Police said the online chat was on a live streaming camera and was not recorded, though investigators were trying to figure out if there was any way they could recover it. \n\nYork University, whose campus is located near one of Toronto's rougher neighborhoods, is one of Canada's largest universities with more than 53,000 undergraduate and graduate students. About 3,200 of York's students come from more than 150 foreign countries, the university's website says.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"14026\": \"what kind of man appeared in court?\"\n },\n {\n \"14027\": \"when did he appear in court?\"\n },\n {\n \"14028\": \"was he accused of murdering a mexican woman?\"\n },\n {\n \"14029\": \"was she chinese?\"\n },\n {\n \"14030\": \"how old was she?\"\n },\n {\n \"14031\": \"who said her boyfriend witnessed her murder?\"\n },\n {\n \"14032\": \"how old is brian dickson?\"\n },\n {\n \"14033\": \"is he accused of murdering the chinese woman?\"\n },\n {\n \"14034\": \"how long before the autopsy results are known?\"\n },\n {\n \"14035\": \"was dickson charged with second-degree murder?\"\n },\n {\n \"14036\": \"what was Liu's father name?\"\n },\n {\n \"14037\": \"Where did he live?\"\n },\n {\n \"14038\": \"who is Tomasi?\"\n },\n {\n \"14039\": \"did they act in a play together?\"\n },\n {\n \"14040\": \"did she say he was short?\"\n },\n {\n \"14041\": \"what did dickson study in college?\"\n },\n {\n \"14042\": \"did he work for ACC?\"\n },\n {\n \"14043\": \"did ACC confirm that he worked as an intern?\"\n },\n {\n \"14044\": \"was liu online with Meng at the time of the murder?\"\n },\n {\n \"14045\": \"what did the her attack take besides the computer and cellphone?\"\n },\n {\n \"14046\": \"is the university located near a safe neighborhood?\"\n },\n {\n \"14047\": \"how many students attend the university?\"\n },\n {\n \"14048\": \"how many different countries do they come from?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"14026\",\n \"answer\": \"A disheveled man\"\n },\n {\n \"question_id\": \"14027\",\n \"answer\": \"Thursday\"\n },\n {\n \"question_id\": \"14028\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"14029\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"14030\",\n \"answer\": \"23\"\n },\n {\n \"question_id\": \"14031\",\n \"answer\": \"police\"\n },\n {\n \"question_id\": \"14032\",\n \"answer\": \"29 years old\"\n },\n {\n \"question_id\": \"14033\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"14034\",\n \"answer\": \"weeks\"\n },\n {\n \"question_id\": \"14035\",\n \"answer\": \"No, first degree murder\"\n },\n {\n \"question_id\": \"14036\",\n \"answer\": \"Liu Jianhui\"\n },\n {\n \"question_id\": \"14037\",\n \"answer\": \"China\"\n },\n {\n \"question_id\": \"14038\",\n \"answer\": \"Dickson's friend\"\n },\n {\n \"question_id\": \"14039\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"14040\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"14041\",\n \"answer\": \"Global Politics\"\n },\n {\n \"question_id\": \"14042\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"14043\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"14044\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"14045\",\n \"answer\": \"webcam\"\n },\n {\n \"question_id\": \"14046\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"14047\",\n \"answer\": \"more than 53,000 undergraduate and graduate students.\"\n },\n {\n \"question_id\": \"14048\",\n \"answer\": \"more than 150 foreign countries\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The process of making beer is known as brewing. A dedicated building for the making of beer is called a brewery, though beer can be made in the home and has been for much of its history. A company that makes beer is called either a brewery or a brewing company. Beer made on a domestic scale for non-commercial reasons is classified as homebrewing regardless of where it is made, though most homebrewed beer is made in the home. Brewing beer is subject to legislation and taxation in developed countries, which from the late 19th century largely restricted brewing to a commercial operation only. However, the UK government relaxed legislation in 1963, followed by Australia in 1972 and the US in 1978, allowing homebrewing to become a popular hobby. \n\nAfter boiling, the hopped wort is now cooled, ready for the yeast. In some breweries, the hopped wort may pass through a hopback, which is a small vat filled with hops, to add aromatic hop flavouring and to act as a filter; but usually the hopped wort is simply cooled for the fermenter, where the yeast is added. During fermentation, the wort becomes beer in a process which requires a week to months depending on the type of yeast and strength of the beer. In addition to producing ethanol, fine particulate matter suspended in the wort settles during fermentation. Once fermentation is complete, the yeast also settles, leaving the beer clear.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"74064\": \"When does the yeast settle?\"\n },\n {\n \"74065\": \"What effect does that have on the beer?\"\n },\n {\n \"74066\": \"What's the process of making beer known as?\"\n },\n {\n \"74067\": \"Are there whole buildings dedicated to just doing that?\"\n },\n {\n \"74068\": \"What are they called?\"\n },\n {\n \"74069\": \"Where else has beer been made for much of its history?\"\n },\n {\n \"74070\": \"What scale is beer classified as when made for non-commercial reasons?\"\n },\n {\n \"74071\": \"Are there any laws related to brewing beer?\"\n },\n {\n \"74072\": \"What about taxes?\"\n },\n {\n \"74073\": \"From which century have these restricted practices existed?\"\n },\n {\n \"74074\": \"Which government first relaxed them a bit?\"\n },\n {\n \"74075\": \"When?\"\n },\n {\n \"74076\": \"What country was next?\"\n },\n {\n \"74077\": \"Did the US relax its rules before or after the Aussies?\"\n },\n {\n \"74078\": \"When the US finally get on board with less restrictions?\"\n },\n {\n \"74079\": \"What effect on homebrewing did that have in the states?\"\n },\n {\n \"74080\": \"When do you put in the yeast?\"\n },\n {\n \"74081\": \"What's a hopback?\"\n },\n {\n \"74082\": \"Does the hop flavouring have an aroma?\"\n },\n {\n \"74083\": \"How long does it take for the wort to become beer?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"74064\",\n \"answer\": \"Once fermentation is complete\"\n },\n {\n \"question_id\": \"74065\",\n \"answer\": \"leaving the beer clear.\"\n },\n {\n \"question_id\": \"74066\",\n \"answer\": \"Brewing\"\n },\n {\n \"question_id\": \"74067\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"74068\",\n \"answer\": \"A brewery\"\n },\n {\n \"question_id\": \"74069\",\n \"answer\": \"In the home\"\n },\n {\n \"question_id\": \"74070\",\n \"answer\": \"Homebrewing\"\n },\n {\n \"question_id\": \"74071\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"74072\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"74073\",\n \"answer\": \"The 19th century\"\n },\n {\n \"question_id\": \"74074\",\n \"answer\": \"The UK\"\n },\n {\n \"question_id\": \"74075\",\n \"answer\": \"1963\"\n },\n {\n \"question_id\": \"74076\",\n \"answer\": \"Australia\"\n },\n {\n \"question_id\": \"74077\",\n \"answer\": \"After\"\n },\n {\n \"question_id\": \"74078\",\n \"answer\": \"In 1978\"\n },\n {\n \"question_id\": \"74079\",\n \"answer\": \"Homebrewing became popular\"\n },\n {\n \"question_id\": \"74080\",\n \"answer\": \"After the hopped wort is cooled\"\n },\n {\n \"question_id\": \"74081\",\n \"answer\": \"A small vat filled with hops\"\n },\n {\n \"question_id\": \"74082\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"74083\",\n \"answer\": \"Aweek to months\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The Marshall Islands, officially the Republic of the Marshall Islands (Marshallese: Aolepān Aorōkin M̧ajeļ),[note 1] is an island country located near the equator in the Pacific Ocean, slightly west of the International Date Line. Geographically, the country is part of the larger island group of Micronesia. The country's population of 53,158 people (at the 2011 Census) is spread out over 29 coral atolls, comprising 1,156 individual islands and islets. The islands share maritime boundaries with the Federated States of Micronesia to the west, Wake Island to the north,[note 2] Kiribati to the south-east, and Nauru to the south. About 27,797 of the islanders (at the 2011 Census) live on Majuro, which contains the capital. \n\nMicronesian colonists gradually settled the Marshall Islands during the 2nd millennium BC, with inter-island navigation made possible using traditional stick charts. Islands in the archipelago were first explored by Europeans in the 1520s, with Spanish explorer Alonso de Salazar sighting an atoll in August 1526. Other expeditions by Spanish and English ships followed. The islands derive their name from British explorer John Marshall, who visited in 1788. The islands were historically known by the inhabitants as \"jolet jen Anij\" (Gifts from God).\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"23129\": \"How did the Marshal Islands origianaly become populated?\"\n },\n {\n \"23130\": \"When did the island become inhabited?\"\n },\n {\n \"23131\": \"Who settled there?\"\n },\n {\n \"23132\": \"What did the Europeans find?\"\n },\n {\n \"23133\": \"when?\"\n },\n {\n \"23134\": \"what is the official name of the Islands?\"\n },\n {\n \"23135\": \"Where is it located?\"\n },\n {\n \"23136\": \"How did it get its name?\"\n },\n {\n \"23137\": \"When?\"\n },\n {\n \"23138\": \"What were the islands previously known as?\"\n },\n {\n \"23139\": \"What does that mean?\"\n },\n {\n \"23140\": \"what was the last recorded population?\"\n },\n {\n \"23141\": \"Does the country belong to any groups?\"\n },\n {\n \"23142\": \"which group?\"\n },\n {\n \"23143\": \"how many islands does the country consist of?\"\n },\n {\n \"23144\": \"Who do they share boundaries with west of them?\"\n },\n {\n \"23145\": \"to the south east?\"\n },\n {\n \"23146\": \"What country is south of them?\"\n },\n {\n \"23147\": \"Is there a country to the north?\"\n },\n {\n \"23148\": \"Which one?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"23129\",\n \"answer\": \"with stick charts.\"\n },\n {\n \"question_id\": \"23130\",\n \"answer\": \"during the 2nd millennium BC\"\n },\n {\n \"question_id\": \"23131\",\n \"answer\": \"Micronesian colonists\"\n },\n {\n \"question_id\": \"23132\",\n \"answer\": \"Islands in the archipelago\"\n },\n {\n \"question_id\": \"23133\",\n \"answer\": \"in the 1520s,\"\n },\n {\n \"question_id\": \"23134\",\n \"answer\": \"the Republic of the Marshall Islands\"\n },\n {\n \"question_id\": \"23135\",\n \"answer\": \"near the equator in the Pacific Ocean\"\n },\n {\n \"question_id\": \"23136\",\n \"answer\": \"from British explorer John Marshall,\"\n },\n {\n \"question_id\": \"23137\",\n \"answer\": \"in 1788.\"\n },\n {\n \"question_id\": \"23138\",\n \"answer\": \"\\\"jolet jen Anij\\\"\"\n },\n {\n \"question_id\": \"23139\",\n \"answer\": \"Gifts from God\"\n },\n {\n \"question_id\": \"23140\",\n \"answer\": \"53,158 people\"\n },\n {\n \"question_id\": \"23141\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"23142\",\n \"answer\": \"the larger island group of Micronesia.\"\n },\n {\n \"question_id\": \"23143\",\n \"answer\": \"1,156\"\n },\n {\n \"question_id\": \"23144\",\n \"answer\": \"the Federated States of Micronesia\"\n },\n {\n \"question_id\": \"23145\",\n \"answer\": \"Kiribati\"\n },\n {\n \"question_id\": \"23146\",\n \"answer\": \"Nauru\"\n },\n {\n \"question_id\": \"23147\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"23148\",\n \"answer\": \"Wake Island\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n It was Saturday and it was nice outside. I did not have school and my mom did not have work. When I woke up we ate breakfast and got ready for the day. My mom started to clean up the house so I went up to my room to play with my toys. My mom came upstairs and told me, \"If you clean up your room there is a great surprise in it for you.\" I was very excited about what the surprise was but not very excited to clean my room. My mom left and closed the door. I looked around and saw how messy my room was. And I really did not want to clean it. So what I did was pick up all my stuff in my room and put it all in my closet. It did not take me very long so I hung out in my room for a little bit longer before heading downstairs to the basement to tell my mom I was ready for my surprise. She came upstairs to see how I did and immediately saw what I did. She was not happy about it. She said, \"You either do it right, or Ill do it right and you won't get a surprise.\" That was enough to make me clean my room right. Finally, my mom told me the surprise when I was all finished. She told me we were going out to the park! But by the time we got there, I could only play for a little bit before it started getting dark. I wished I would have cleaned my room right the first time so I had more time at the park.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"78614\": \"What day was it?\"\n },\n {\n \"78615\": \"How was it outside?\"\n },\n {\n \"78616\": \"Didhe have school?\"\n },\n {\n \"78617\": \"How about his mom?\"\n },\n {\n \"78618\": \"What did they do in the morning?\"\n },\n {\n \"78619\": \"what else?\"\n },\n {\n \"78620\": \"What did mom do?\"\n },\n {\n \"78621\": \"What did you do?\"\n },\n {\n \"78622\": \"why?\"\n },\n {\n \"78623\": \"Where did mom go?\"\n },\n {\n \"78624\": \"Why?\"\n },\n {\n \"78625\": \"What?\"\n },\n {\n \"78626\": \"How did you feel?\"\n },\n {\n \"78627\": \"about what?\"\n },\n {\n \"78628\": \"Where did mom go?\"\n },\n {\n \"78629\": \"Where did you put your stuff?\"\n },\n {\n \"78630\": \"Did it take long?\"\n },\n {\n \"78631\": \"Did mom see the room?\"\n },\n {\n \"78632\": \"Was she happy?\"\n },\n {\n \"78633\": \"What did she say?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"78614\",\n \"answer\": \"Saturday\"\n },\n {\n \"question_id\": \"78615\",\n \"answer\": \"nice\"\n },\n {\n \"question_id\": \"78616\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"78617\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"78618\",\n \"answer\": \"ate breakfast\"\n },\n {\n \"question_id\": \"78619\",\n \"answer\": \"got ready for the day\"\n },\n {\n \"question_id\": \"78620\",\n \"answer\": \"clean\"\n },\n {\n \"question_id\": \"78621\",\n \"answer\": \"went to my room\"\n },\n {\n \"question_id\": \"78622\",\n \"answer\": \"to play with my toys\"\n },\n {\n \"question_id\": \"78623\",\n \"answer\": \"upstairs\"\n },\n {\n \"question_id\": \"78624\",\n \"answer\": \"to tell me something\"\n },\n {\n \"question_id\": \"78625\",\n \"answer\": \"\\\"If you clean up your room there is a great surprise in it for you\"\n },\n {\n \"question_id\": \"78626\",\n \"answer\": \"excited\"\n },\n {\n \"question_id\": \"78627\",\n \"answer\": \"the surprise\"\n },\n {\n \"question_id\": \"78628\",\n \"answer\": \"she left\"\n },\n {\n \"question_id\": \"78629\",\n \"answer\": \"In the closet\"\n },\n {\n \"question_id\": \"78630\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"78631\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"78632\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"78633\",\n \"answer\": \"You either do it right, or Ill do it right and you won't get a surprise\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Mr. Smith works in a factory. There he drives a truck. He's tired all the time. When he comes back, he's always busy and doesn't want to do any housework. His wife is a doctor and likes to keep all the things clean. So she has to do all at home. She usually goes to work from Monday to Friday and has to do all on weekends. All her friends know about it and sometimes they come to help her. It's Saturday today. Mrs Smith tells her husband to help her do some housework, but he says he has something to do and goes out early in the morning. He leaves a lot of dirty clothes at home. Mrs Smith doesn't go to work but she doesn't feel well. So she doesn't want to do any housework. After breakfast, Jo, one of her friends, comes to see her when she's sitting on a chair. The girl finds the rooms are dirty and she asks, \"Don't you clean your rooms today, Mrs Smith?\" \"No, I don't.\"says the doctor. \"Why don't you wear your glasses?\" \"Then I will think the rooms are still clean.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"79442\": \"Where does the man work?\"\n },\n {\n \"79443\": \"How does he get there?\"\n },\n {\n \"79444\": \"How does he feel most days?\"\n },\n {\n \"79445\": \"What doesn't he enjoy doing?\"\n },\n {\n \"79446\": \"What does Mrs. Smith do for work?\"\n },\n {\n \"79447\": \"What days?\"\n },\n {\n \"79448\": \"So when does that leave time for cleaning?\"\n },\n {\n \"79449\": \"What day is it today?\"\n },\n {\n \"79450\": \"What did Mr. Smith leave a lot of when he left for the day?\"\n },\n {\n \"79451\": \"who came by after the morning meal?\"\n },\n {\n \"79452\": \"Named what?\"\n },\n {\n \"79453\": \"Where was Mrs. Smith when she came by?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"79442\",\n \"answer\": \"in a factory\"\n },\n {\n \"question_id\": \"79443\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"79444\",\n \"answer\": \"tired\"\n },\n {\n \"question_id\": \"79445\",\n \"answer\": \"housework\"\n },\n {\n \"question_id\": \"79446\",\n \"answer\": \"she's a doctor\"\n },\n {\n \"question_id\": \"79447\",\n \"answer\": \"Monday to Friday\"\n },\n {\n \"question_id\": \"79448\",\n \"answer\": \"weekends\"\n },\n {\n \"question_id\": \"79449\",\n \"answer\": \"Saturday\"\n },\n {\n \"question_id\": \"79450\",\n \"answer\": \"dirty clothes\"\n },\n {\n \"question_id\": \"79451\",\n \"answer\": \"one of her friends\"\n },\n {\n \"question_id\": \"79452\",\n \"answer\": \"Jo\"\n },\n {\n \"question_id\": \"79453\",\n \"answer\": \"sitting on a chair\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (EW.com) -- Good news (we guess?) for Ronn Moss fans: Don't go looking for a brand new Ridge to take over for the old one on CBS' \"The Bold and the Beautiful.\" \n\nOnce Moss' last episode airs on Sept. 14, \"B&B\" has no plans to fill the void, the sudser's head writer told TV Guide. \n\n\"Ridge will not be dead or presumed dead,\" said Bradley Bell. \"He will just not be in the picture. I don't want to do a presumed death because I don't want the story that follows to be all about Ridge. This will be a Brooke story. Ridge is a pivotal part of the show and he will be back in a matter of time...and probably not all that much time. I will continue writing for the character. I'm looking at this in two phases, really. There will be a period of time without Ridge, which is where some new, interesting avenues for Brooke will come into play. But at some point it will be necessary for Ridge to return to the show. Who will be playing the role at that point remains to be seen.\" \n\nEW broke the news last week that Moss has decided to leave CBS soap that he's been on since its 1987 debut. He said this on his Facebook page: \"I want to make sure, without any doubt, that you guys all know how much I love you. Your support during this time and hopefully beyond is everything. I can't say anything yet, but soon will explain. Hang in there with me, We have a wonderful new journey ahead of us. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"94894\": \"When does his last episode air?\"\n },\n {\n \"94895\": \"what does B&B stand for?\"\n },\n {\n \"94896\": \"will Ridge be killed off?\"\n },\n {\n \"94897\": \"When did EW tell everyone Moss would be leaving?\"\n },\n {\n \"94898\": \"What year did he join?\"\n },\n {\n \"94899\": \"Where did he publish his parting statement?\"\n },\n {\n \"94900\": \"Does he love his fans?\"\n },\n {\n \"94901\": \"When will he tell the fans more about his decision?\"\n },\n {\n \"94902\": \"Will they still write for his character?\"\n },\n {\n \"94903\": \"Who will have new interesting adventures?\"\n },\n {\n \"94904\": \"Is it it needed for him to come back?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"94894\",\n \"answer\": \"Sept. 14\"\n },\n {\n \"question_id\": \"94895\",\n \"answer\": \"The Bold and the Beautiful\"\n },\n {\n \"question_id\": \"94896\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"94897\",\n \"answer\": \"Last week.\"\n },\n {\n \"question_id\": \"94898\",\n \"answer\": \"1987\"\n },\n {\n \"question_id\": \"94899\",\n \"answer\": \"Facebook\"\n },\n {\n \"question_id\": \"94900\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"94901\",\n \"answer\": \"Soon\"\n },\n {\n \"question_id\": \"94902\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"94903\",\n \"answer\": \"Brooke\"\n },\n {\n \"question_id\": \"94904\",\n \"answer\": \"Yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXX \n\nGOOD-BYE TO ALASKA--CONCLUSION \n\n\"Is that your sled?\" \n\n\"Yah. Vait, I vos sthop dem!\" yelled Gus Schmidt, and with a dexterity that was really marvelous he turned his own team about and in a few seconds was traveling after the runaways. \n\n\"Wait! I'm going to get off! To look for my brother!\" cried Dick, and as the German slackened his speed for a few seconds, the oldest Rover boy sprang out in the snow. He went sprawling, but was not injured. Almost before he knew it, the two sleds had disappeared and he was left alone. \n\nAll around him were the vast and mysterious fields of ice and snow. Far off he could hear the barking of the dogs, but this soon died out, and then came utter silence--a silence that seemed to fairly weigh him down. And now the snow started to come down harder than ever. \n\nHad Dick Rover been less stout-hearted than he was he would have then and there given up the hunt for his brother. But Dick had the stuff of a real hero in him, and he went forward through the snow, bending low to escape the wind and to keep his eyes on that slowly disappearing trail. \n\nThus half an hour went by, and by that time, weighed down as he was by his heavy clothing and heavy footwear, Dick was well-nigh exhausted. He stopped to rest and to get his breath, and then, struck with a sudden idea, let out that old familiar locomotive whistle of Putnam Hall fame. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"93948\": \"Who did Dick want to look for?\"\n },\n {\n \"93949\": \"Who is the German?\"\n },\n {\n \"93950\": \"What does he turn around to pursue?\"\n },\n {\n \"93951\": \"True or False: The German was very skilled at controlling his sled and team.\"\n },\n {\n \"93952\": \"Was Dick a brave person?\"\n },\n {\n \"93953\": \"How long did Dick search before he was tired?\"\n },\n {\n \"93954\": \"What hindered him in his search?\"\n },\n {\n \"93955\": \"What sound did he make?\"\n },\n {\n \"93956\": \"Where was that sound well-known?\"\n },\n {\n \"93957\": \"Was it raining?\"\n },\n {\n \"93958\": \"Snowing?\"\n },\n {\n \"93959\": \"Did Gus stop the sled so Dick could get off it?\"\n },\n {\n \"93960\": \"Did he stay nearby?\"\n },\n {\n \"93961\": \"What was the last sound Dick could hear before all was quiet?\"\n },\n {\n \"93962\": \"What did he bend down to avoid?\"\n },\n {\n \"93963\": \"What was he following that was fading away?\"\n },\n {\n \"93964\": \"Which Rover was the oldest?\"\n },\n {\n \"93965\": \"How many sleds vanished?\"\n },\n {\n \"93966\": \"What covered the fields around Dick?\"\n },\n {\n \"93967\": \"How did Dick get off the sled?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"93948\",\n \"answer\": \"his brother\"\n },\n {\n \"question_id\": \"93949\",\n \"answer\": \"Gus Schmidt\"\n },\n {\n \"question_id\": \"93950\",\n \"answer\": \"the runaways\"\n },\n {\n \"question_id\": \"93951\",\n \"answer\": \"Gus Schmidt, and with a dexterity that was really marvelous\"\n },\n {\n \"question_id\": \"93952\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"93953\",\n \"answer\": \"half an hour\"\n },\n {\n \"question_id\": \"93954\",\n \"answer\": \"heavy clothing and footwear\"\n },\n {\n \"question_id\": \"93955\",\n \"answer\": \"a locomotive whistle\"\n },\n {\n \"question_id\": \"93956\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"93957\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"93958\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"93959\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"93960\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"93961\",\n \"answer\": \"barking dogs\"\n },\n {\n \"question_id\": \"93962\",\n \"answer\": \"the wind\"\n },\n {\n \"question_id\": \"93963\",\n \"answer\": \"the trail\"\n },\n {\n \"question_id\": \"93964\",\n \"answer\": \"Dick\"\n },\n {\n \"question_id\": \"93965\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"93966\",\n \"answer\": \"ice and snow\"\n },\n {\n \"question_id\": \"93967\",\n \"answer\": \"he jumped off\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Penelope kissed her hamster named Cracker. She waved goodbye to her brother, Jacob. Penelope ran out the door. Penelope's neighbor, Mrs. Flower, said she would make banana pancakes for Penelope for breakfast. Penelope could also play with Mrs. Flower's new puppy, Cookie. Penelope saw a bowl with green beans, beets, and carrots from the store on the kitchen table. Yuck, thought Penelope. Penelope liked the new puppy. Cookie had a funny smile. Mrs. Flower gave Penelope a box of toys and told her to take Cookie to the backyard. Penelope was busy looking at the green tomatoes. She turned around and saw Cookie and Mr. Flower's cat, Thomas. Thomas and Cookie were playing with the toys. Thomas kicked a ball to Cookie and Cookie kicked the ball back. Cookie got a toy fish out the box. Thomas and Cookie played catch with the toy fish. Penelope was laughing because she never saw a dog and cat play together. Mrs. Flower came to the backyard. She asked Penelope if she wanted yogurt, apple sauce or chocolate pudding with her breakfast. Penelope said she wanted yogurt. Penelope went inside and ate her breakfast with Mrs. Flower and Mr. Flower.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"19144\": \"What pet did Penelope have?\"\n },\n {\n \"19145\": \"What was its name?\"\n },\n {\n \"19146\": \"Was Penelope an only child?\"\n },\n {\n \"19147\": \"What would she have for breakfast?\"\n },\n {\n \"19148\": \"How many kinds of vegetables were out?\"\n },\n {\n \"19149\": \"Why did she like the pet?\"\n },\n {\n \"19150\": \"What vegetable grew in the yard?\"\n },\n {\n \"19151\": \"How many pets were in the yard?\"\n },\n {\n \"19152\": \"Did the pets share something?\"\n },\n {\n \"19153\": \"Why did she laugh?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"19144\",\n \"answer\": \"a hamster\"\n },\n {\n \"question_id\": \"19145\",\n \"answer\": \"Cracker\"\n },\n {\n \"question_id\": \"19146\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"19147\",\n \"answer\": \"banana pancakes\"\n },\n {\n \"question_id\": \"19148\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"19149\",\n \"answer\": \"it had a funny smile\"\n },\n {\n \"question_id\": \"19150\",\n \"answer\": \"green tomatoes\"\n },\n {\n \"question_id\": \"19151\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"19152\",\n \"answer\": \"the toys\"\n },\n {\n \"question_id\": \"19153\",\n \"answer\": \"she never saw a dog and cat play together\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER IV. \n\nVACILLATION. \n\nWhen the spring-time came, Sir Harry Hotspur with his wife and daughter, went up to London. During the last season the house in Bruton Street had been empty. He and his wife were then mourning their lost son, and there was no place for the gaiety of London in their lives. Sir Harry was still thinking of his great loss. He was always thinking of the boy who was gone, who had been the apple of his eye, his one great treasure, the only human being in the world whose superior importance to his own he had been ready, in his heart of hearts, to admit; but it was needful that the outer signs of sorrow should be laid aside, and Emily Hotspur was taken up to London, in order that she might be suited with a husband. That, in truth, was the reason of their going. Neither Sir Harry nor Lady Elizabeth would have cared to leave Cumberland had there been no such cause. They would have been altogether content to remain at home had Emily been obedient enough in the winter to accept the hand of the suitor proposed for her. \n\nThe house was opened in Bruton Street, and Lord Alfred came to see them. So also did Cousin George. There was no reason why Cousin George should not come. Indeed, had he not done so, he must have been the most ungracious of cousins. He came, and found Lady Elizabeth and Emily at home. Emily told him that they were always there to receive visitors on Sundays after morning church, and then he came again. She had made no such communication to Lord Alfred, but then perhaps it would have been hardly natural that she should have done so. Lady Elizabeth, in a note which she had occasion to write to Lord Alfred, did tell him of her custom on a Sunday afternoon; but Lord Alfred took no such immediate advantage of the offer as did Cousin George. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"79044\": \"Where did Sir Harry Hotspur go?\"\n },\n {\n \"79045\": \"When?\"\n },\n {\n \"79046\": \"Who went along with him?\"\n },\n {\n \"79047\": \"Which house was empty?\"\n },\n {\n \"79048\": \"When?\"\n },\n {\n \"79049\": \"Who died at that time?\"\n },\n {\n \"79050\": \"Was he always remembering him?\"\n },\n {\n \"79051\": \"Did he love him much?\"\n },\n {\n \"79052\": \"Where Emily was taken?\"\n },\n {\n \"79053\": \"For what reason?\"\n },\n {\n \"79054\": \"Was that the reason they all were going?\"\n },\n {\n \"79055\": \"Otherwise where they would have stayed?\"\n },\n {\n \"79056\": \"Did she accept the earlier suitor?\"\n },\n {\n \"79057\": \"When that happened?\"\n },\n {\n \"79058\": \"Who came to visit them there?\"\n },\n {\n \"79059\": \"Who else?\"\n },\n {\n \"79060\": \"When they wanted to accept guests?\"\n },\n {\n \"79061\": \"At what time?\"\n },\n {\n \"79062\": \"Did George revisit them?\"\n },\n {\n \"79063\": \"Did Lord Alfred do the same?\"\n },\n {\n \"79064\": \"Who wrote him letter about Sunday custom?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"79044\",\n \"answer\": \"London\"\n },\n {\n \"question_id\": \"79045\",\n \"answer\": \"in spring\"\n },\n {\n \"question_id\": \"79046\",\n \"answer\": \"his wife and daughter\"\n },\n {\n \"question_id\": \"79047\",\n \"answer\": \"house in Bruton Street\"\n },\n {\n \"question_id\": \"79048\",\n \"answer\": \"last season\"\n },\n {\n \"question_id\": \"79049\",\n \"answer\": \"their son\"\n },\n {\n \"question_id\": \"79050\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79051\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79052\",\n \"answer\": \"London\"\n },\n {\n \"question_id\": \"79053\",\n \"answer\": \"be suited with a husband\"\n },\n {\n \"question_id\": \"79054\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79055\",\n \"answer\": \"at home\"\n },\n {\n \"question_id\": \"79056\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"79057\",\n \"answer\": \"in the winter\"\n },\n {\n \"question_id\": \"79058\",\n \"answer\": \"Lord Alfred\"\n },\n {\n \"question_id\": \"79059\",\n \"answer\": \"Cousin George\"\n },\n {\n \"question_id\": \"79060\",\n \"answer\": \"on Sundays\"\n },\n {\n \"question_id\": \"79061\",\n \"answer\": \"after morning church\"\n },\n {\n \"question_id\": \"79062\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79063\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"79064\",\n \"answer\": \"Lady Elizabeth\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Vanilla is my best friend. She is a lovely girl with two big, beautiful eyes. But she always hides them behind a pair of black glasses. One day, though, I nearly ended our friendship. I remember that day clearly. We were sitting in class. The teacher was giving us our results for a Chinese test. I had done badly. I felt so sad that I wouldn't talk to anyone. At lunchtime, I even stayed in the classroom alone. Suddenly, I heard a voice. It was Vanilla. \"You look very unhappy,\" she said. \"What's wrong?\" I looked up at her, but said nothing. I knew Vallina had got a good mark in the test. I thought she was making fun of me. I stayed silent , but Vallina didn't go away. She kept asking me questions: \"Is it because of the exam? Do you want me to show you the right answers?\" I looked away from her. When I looked up again, Vanilla had gone. And so had my exam paper! I didn't know what to do. I looked everywhere for me paper, but couldn't find it. In the afternoon, Vanilla came up to my desk and gave me my exam paper back. I looked at it and got a big surprise. Vanilla had written the right answer next to every one of my mistakes. My face went red. Vanilla had been trying to help me all along. How mean I had been to her when she was being so nice. I wanted to hug her, but all I did was to hold her hands and say, \"Thank you.\" That afternoon, Vanilla and I walked home together. I felt so happy that I had to thank her again. We were still best friends.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"97124\": \"is Vanilla a boy?\"\n },\n {\n \"97125\": \"is she mean?\"\n },\n {\n \"97126\": \"what's she like?\"\n },\n {\n \"97127\": \"what is she hiding with glasses?\"\n },\n {\n \"97128\": \"what color are the glasses?\"\n },\n {\n \"97129\": \"what did the teacher give them?\"\n },\n {\n \"97130\": \"did they both do well?\"\n },\n {\n \"97131\": \"who did well?\"\n },\n {\n \"97132\": \"and how did I do?\"\n },\n {\n \"97133\": \"did I tell anyone?\"\n },\n {\n \"97134\": \"how did I feel?\"\n },\n {\n \"97135\": \"what did Vanilla ask?\"\n },\n {\n \"97136\": \"what did I think she was doing?\"\n },\n {\n \"97137\": \"was she?\"\n },\n {\n \"97138\": \"where did the paper go?\"\n },\n {\n \"97139\": \"what did she do with it?\"\n },\n {\n \"97140\": \"what did I want to do to her?\"\n },\n {\n \"97141\": \"did I?\"\n },\n {\n \"97142\": \"what did i do instead?\"\n },\n {\n \"97143\": \"and say:?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"97124\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"97125\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"97126\",\n \"answer\": \"lovely\"\n },\n {\n \"question_id\": \"97127\",\n \"answer\": \"two big, beautiful eyes\"\n },\n {\n \"question_id\": \"97128\",\n \"answer\": \"black\"\n },\n {\n \"question_id\": \"97129\",\n \"answer\": \"results for a Chinese test\"\n },\n {\n \"question_id\": \"97130\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"97131\",\n \"answer\": \"Vanilla\"\n },\n {\n \"question_id\": \"97132\",\n \"answer\": \"badly\"\n },\n {\n \"question_id\": \"97133\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"97134\",\n \"answer\": \"sad\"\n },\n {\n \"question_id\": \"97135\",\n \"answer\": \"What's wrong\"\n },\n {\n \"question_id\": \"97136\",\n \"answer\": \"making fun of me.\"\n },\n {\n \"question_id\": \"97137\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"97138\",\n \"answer\": \"Vanilla took it\"\n },\n {\n \"question_id\": \"97139\",\n \"answer\": \"wrote the right answers on it\"\n },\n {\n \"question_id\": \"97140\",\n \"answer\": \"hug her\"\n },\n {\n \"question_id\": \"97141\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"97142\",\n \"answer\": \"hold her hands\"\n },\n {\n \"question_id\": \"97143\",\n \"answer\": \"Thank you\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Thunder can move a seesaw. This is very important to know if you ever see what I saw. One day, I was walking home when I saw a squirrel on a seesaw near my house. It was running up and down, and all around, playing by itself. Suddenly, an ox appeared from nowhere. It came up to the squirrel, walked around the seesaw for a bit, then sat down on one end. As you know, an ox is a very big animal, so the seesaw threw the squirrel off and high into the air! The squirrel flew so high that it passed the buildings. It passed the birds, it passed the planes and stopped in the clouds. When it was there, it made friends with the clouds and asked one of the clouds a secret question. The cloud said okay, and sent the squirrel back to the ground. The squirrel fell and fell for a long time. Finally he landed on the seesaw, but the ox didn't move. \"Where were you?\" the ox asked, \"Just talking with a friend,\" answered the mouse. I was watching and listening to everything, so I stayed, waiting. Soon enough, a loud CLAP of thunder came from the clouds and threw the ox off of the seesaw and far, far away. So, you see, thunder can move a seesaw.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"67469\": \"Where were you walking?\"\n },\n {\n \"67470\": \"What animal did you first see?\"\n },\n {\n \"67471\": \"Who was the squirrel playing with?\"\n },\n {\n \"67472\": \"What was he doing?\"\n },\n {\n \"67473\": \"What animal did you see next?\"\n },\n {\n \"67474\": \"What were they on?\"\n },\n {\n \"67475\": \"What happened to the squirrel when he was on the seesaw?\"\n },\n {\n \"67476\": \"Did he go flying into the sky?\"\n },\n {\n \"67477\": \"Where did he stop?\"\n },\n {\n \"67478\": \"Did he talk to them?\"\n },\n {\n \"67479\": \"Did they become buddies?\"\n },\n {\n \"67480\": \"When he returned to the ground, was the ox still there?\"\n },\n {\n \"67481\": \"What caused the ox to go flying off the seesaw?\"\n },\n {\n \"67482\": \"Can thunder do that?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"67469\",\n \"answer\": \"home\"\n },\n {\n \"question_id\": \"67470\",\n \"answer\": \"squirrel\"\n },\n {\n \"question_id\": \"67471\",\n \"answer\": \"itself\"\n },\n {\n \"question_id\": \"67472\",\n \"answer\": \"running up and down\"\n },\n {\n \"question_id\": \"67473\",\n \"answer\": \"ox\"\n },\n {\n \"question_id\": \"67474\",\n \"answer\": \"seesaw\"\n },\n {\n \"question_id\": \"67475\",\n \"answer\": \"flew off\"\n },\n {\n \"question_id\": \"67476\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67477\",\n \"answer\": \"in the clouds\"\n },\n {\n \"question_id\": \"67478\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67479\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67480\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67481\",\n \"answer\": \"thunder\"\n },\n {\n \"question_id\": \"67482\",\n \"answer\": \"no\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Peggy Hilt wanted to be a good mother. But day after day, she got out of bed feeling like a failure. No matter what she tried, she couldn't connect with Nina, the 2-year -old girl she'd adopted from Russia as an infant . The preschooler pulled away whenever Hilt tried to hug or kiss her. Nina was physically aggressive with her 4-year-old sister, who had been adopted from Ukraine, and had violent tantrums . Whenever Hilt wasn't watching, she destroyed the family's furniture and possessions. \"Every day with Nina had become a struggle,\" she recalls now. \n\nAs the girl grew older, things got worse. Hilt fell into a deep depression. She started drinking heavily, something she'd never done before. Ashamed, she hid her problem from everyone, including her husband. \n\nOn the morning of July 1, 2005, Hilt was packing for a family vocation, all the while swallowing one beer after another and growing increasingly angry and impatient with Nina's deeds. \"Everything she did just got to me,\" Hilt said. When Hilt caught her reaching into her diaper and smearing feces on the walls and furniture, \"a year and a half of frustration came to a head,\" Hilt says. \"I snapped . I felt this uncontrollable rage.\" \n\nThen Hilt did something unthinkable. She grabbed Nina around the neck, shook her and then dropped her to the floor, where she kicked her repeatedly before dragging her up to her room, punching her as they went. \"I had never hit a child before,\" she says. \"I felt horrible and promised myself that this would never happen again.\" But _ . Nina woke up with a fever, and then started throwing up. The next day she stopped breathing. By the time the ambulance got the child to the hospital, she was dead. \n\nHilt is now serving a 19-year sentence for second-degree murder in a Virginia prison. She and her husband divorced, and he is raising their other daughter. She realizes the horror of her crime and says she isn't looking for sympathy. \"There is no punishment severe enough for what I did,\" she told NEWSWEEK in an interview at the prison.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"55945\": \"Who grabbed Nina by the neck?\"\n },\n {\n \"55946\": \"And who is she?\"\n },\n {\n \"55947\": \"How old is her kid?\"\n },\n {\n \"55948\": \"Is she her biological child?\"\n },\n {\n \"55949\": \"Did she have any other children?\"\n },\n {\n \"55950\": \"And their age?\"\n },\n {\n \"55951\": \"What ilness was the mom suffering from?\"\n },\n {\n \"55952\": \"Did she abstain from consuming alcohol?\"\n },\n {\n \"55953\": \"How much would she drink?\"\n },\n {\n \"55954\": \"What did she catch Nina doing?\"\n },\n {\n \"55955\": \"Was she fine with that?\"\n },\n {\n \"55956\": \"What did she say she was feeling about it?\"\n },\n {\n \"55957\": \"Was Nina ok after being choked?\"\n },\n {\n \"55958\": \"What ended up happening to her?\"\n },\n {\n \"55959\": \"And the mom?\"\n },\n {\n \"55960\": \"What happened with her spouse?\"\n },\n {\n \"55961\": \"Was she a good mom?\"\n },\n {\n \"55962\": \"Did she want to be?\"\n },\n {\n \"55963\": \"What was the date when this happened?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"55945\",\n \"answer\": \"Peggy Hilt\"\n },\n {\n \"question_id\": \"55946\",\n \"answer\": \"mother\"\n },\n {\n \"question_id\": \"55947\",\n \"answer\": \"2-year -old\"\n },\n {\n \"question_id\": \"55948\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"55949\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"55950\",\n \"answer\": \"4-year-old\"\n },\n {\n \"question_id\": \"55951\",\n \"answer\": \"depression\"\n },\n {\n \"question_id\": \"55952\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"55953\",\n \"answer\": \"heavily\"\n },\n {\n \"question_id\": \"55954\",\n \"answer\": \"reaching into her diaper and smearing feces on the walls and furniture\"\n },\n {\n \"question_id\": \"55955\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"55956\",\n \"answer\": \"uncontrollable rage\"\n },\n {\n \"question_id\": \"55957\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"55958\",\n \"answer\": \"she died\"\n },\n {\n \"question_id\": \"55959\",\n \"answer\": \"Hilt is now serving a 19-year sentence for second-degree murder\"\n },\n {\n \"question_id\": \"55960\",\n \"answer\": \"her husband divorced, and he is raising their other daughter.\"\n },\n {\n \"question_id\": \"55961\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"55962\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"55963\",\n \"answer\": \"July 1, 2005\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Geodesy (/dʒiːˈɒdɨsi/), also named geodetics, is the scientific discipline that deals with the measurement and representation of the Earth. The history of geodesy began in antiquity and blossomed during the Age of Enlightenment. \n\nEarly ideas about the figure of the Earth held the Earth to be flat (see flat Earth), and the heavens a physical dome spanning over it. Two early arguments for a spherical Earth were that lunar eclipses were seen as circular shadows which could only be caused by a spherical Earth, and that Polaris is seen lower in the sky as one travels South. \n\nThe early Greeks, in their speculation and theorizing, ranged from the flat disc advocated by Homer to the spherical body postulated by Pythagoras. Pythagoras's idea was supported later by Aristotle. Pythagoras was a mathematician and to him the most perfect figure was a sphere. He reasoned that the gods would create a perfect figure and therefore the Earth was created to be spherical in shape. Anaximenes, an early Greek philosopher, believed strongly that the Earth was rectangular in shape. \n\nSince the spherical shape was the most widely supported during the Greek Era, efforts to determine its size followed. Plato determined the circumference of the Earth (which is slightly over 40,000 km) to be 400,000 stadia (between 62,800 and 74,000 km or 46,250 and 39,250 mi) while Archimedes estimated 300,000 stadia (48,300 km or 30,000 mi), using the Hellenic stadion which scholars generally take to be 185 meters or of a geographical mile. Plato's figure was a guess and Archimedes' a more conservative approximation.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"44671\": \"When did geodesy begin?\"\n },\n {\n \"44672\": \"When did it flourish?\"\n },\n {\n \"44673\": \"Which Greek argued for a flat Earth?\"\n },\n {\n \"44674\": \"Who argued for a perfect sphere?\"\n },\n {\n \"44675\": \"Who later agreed with him?\"\n },\n {\n \"44676\": \"Why did Pythagoras think the Earth was a sphere?\"\n },\n {\n \"44677\": \"Who thought the Earth was rectangular?\"\n },\n {\n \"44678\": \"Who was Anaximenes?\"\n },\n {\n \"44679\": \"How did early ideas describe the heavens?\"\n },\n {\n \"44680\": \"How does the position of Polaris change as one goes South?\"\n },\n {\n \"44681\": \"What measurement did Plato make?\"\n },\n {\n \"44682\": \"What units of measurement did he use?\"\n },\n {\n \"44683\": \"What did he measure the circumference as?\"\n },\n {\n \"44684\": \"What range of km does this convert to?\"\n },\n {\n \"44685\": \"Is that larger than Earth's actual circumference in km?\"\n },\n {\n \"44686\": \"What is the actual value in km?\"\n },\n {\n \"44687\": \"Did Plato and Archimedes arrive at the same measurement?\"\n },\n {\n \"44688\": \"What was Archimedes' estimate?\"\n },\n {\n \"44689\": \"Using what kind of stadia?\"\n },\n {\n \"44690\": \"How did Plato arrive at his estimate?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"44671\",\n \"answer\": \"in antiquity\"\n },\n {\n \"question_id\": \"44672\",\n \"answer\": \"during the Age of Enlightenment\"\n },\n {\n \"question_id\": \"44673\",\n \"answer\": \"Homer\"\n },\n {\n \"question_id\": \"44674\",\n \"answer\": \"Pythagoras\"\n },\n {\n \"question_id\": \"44675\",\n \"answer\": \"Aristotle\"\n },\n {\n \"question_id\": \"44676\",\n \"answer\": \"Because the most perfect figure was a sphere.\"\n },\n {\n \"question_id\": \"44677\",\n \"answer\": \"Anaximenes\"\n },\n {\n \"question_id\": \"44678\",\n \"answer\": \"an early Greek philosopher\"\n },\n {\n \"question_id\": \"44679\",\n \"answer\": \"a dome over the earth\"\n },\n {\n \"question_id\": \"44680\",\n \"answer\": \"it's seen lower in the sky\"\n },\n {\n \"question_id\": \"44681\",\n \"answer\": \"the circumference of the Earth\"\n },\n {\n \"question_id\": \"44682\",\n \"answer\": \"stadia\"\n },\n {\n \"question_id\": \"44683\",\n \"answer\": \"400,000 stadia\"\n },\n {\n \"question_id\": \"44684\",\n \"answer\": \"62,800 and 74,000\"\n },\n {\n \"question_id\": \"44685\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"44686\",\n \"answer\": \"40,000\"\n },\n {\n \"question_id\": \"44687\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"44688\",\n \"answer\": \"300,000 stadia\"\n },\n {\n \"question_id\": \"44689\",\n \"answer\": \"the Hellenic stadion\"\n },\n {\n \"question_id\": \"44690\",\n \"answer\": \"a guess\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n George had stolen some money, but the police had caught him and he had been put in prison. Now his trial was about to begin, and he felt sure that he would be found guilty and sent to prison for a long time. \n\nThen he discovered that an old friend of his was one of the members of the jury at his trial. Of course, he did not tell anybody, but he managed to see his friend secretly one day. He said to him, \"Jim, I know that the jury will find me guilty of having stolen the money. I cannot hope to be found not guilty of taking it ---- that would be too much to expect. But I should be grateful to you for the rest of my life if you could persuade the other members of the jury to add a strong recommendation for mercy to their statement that they consider me guilty.\" \n\n\"Well, George,\"answered Jim. \"I shall certainly try to do what I can for you as an old friend, but of course I cannot promise anything. The other eleven people on the jury look terribly strong-minded to me.\" \n\nGeorge said that he would quite understand if Jim was not able to do anything for him, and thanked him warmly for agreeing to help. \n\nThe trial went on, and at last the time came for the jury to decide whether George was guilty or not. It took them five hours, but in the end they found George guilty, with a strong recommendation for mercy. \n\nOf course, George was very pleased, but he did not have a chance to see Jim for some time after the trial. At last, however, Jim visited him in prison, and George thanked him warmly and asked him how he had managed to persuade the other members of the jury to recommend mercy. \n\n\"Well, George,\" Jim answered, \"as I thought, those eleven men were very difficult to persuade, but I managed it in the end by tiring them out. Do you know, those fools had all wanted to find you not guilty!\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"38275\": \"How long did it take the Jury to decide their verdict?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"38275\",\n \"answer\": \"five hours\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXVI. \n\nWILD TURKEYS AND ANOTHER TRAIL. \n\nOne day, early in February, Amos Radbury came riding back from a trip to Gonzales with news that he had heard from Carlos Martine. \n\n\"The man has been at San Felipe,\" he declared, \"and I have it on good authority that he intends to claim my land.\" \n\n\"Well, what are ye going to do?\" queried Poke Stover, who was still at the ranch. \n\n\"I hardly know. But I wish I could have a talk with Martine. It might be the means of saving a good deal of trouble.\" \n\n\"Is Martine still at San Felipe?\" \n\n\"No, Gusher told me that he had gone to San Antonio.\" \n\n\"Then why not take a trip to San Antonio and find him?\" suggested the old frontiersman. \"I reckon that is what I would do.\" \n\n\"I think you are right, Poke, and I'll start tomorrow,\" answered the planter. \n\nHe went in to talk the matter over with his sons, and the land claim was the chief topic of conversation for the balance of the evening. \n\n\"I now wish I had kept Hank Stiger here,\" said Mr. Radbury. The half-breed had left the ranch but three days before, apparently very grateful for the manner in which he had been treated. \n\n\"Well, one thing is certain,\" declared Dan, \"I don't stand for giving up the claim. I'll fight first. Those Mexican officials can do as they please, but they can't budge me.\" \n\n\"Good fer Dan!\" shouted Stover. \"He's the kind the State o' Texas will want in days to come.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"56941\": \"What month did this happen?\"\n },\n {\n \"56942\": \"Where are they returning from?\"\n },\n {\n \"56943\": \"Who did he have information from?\"\n },\n {\n \"56944\": \"What is trying to be claimed?\"\n },\n {\n \"56945\": \"Who does he need to have a talk with?\"\n },\n {\n \"56946\": \"Who is in San Antonio?\"\n },\n {\n \"56947\": \"Who gave him advice to go after him?\"\n },\n {\n \"56948\": \"Who does he need to discuss this with?\"\n },\n {\n \"56949\": \"What is the discussion about?\"\n },\n {\n \"56950\": \"What won't they give up?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"56941\",\n \"answer\": \"February\"\n },\n {\n \"question_id\": \"56942\",\n \"answer\": \"Gonzales\"\n },\n {\n \"question_id\": \"56943\",\n \"answer\": \"Carlos Martine\"\n },\n {\n \"question_id\": \"56944\",\n \"answer\": \"land\"\n },\n {\n \"question_id\": \"56945\",\n \"answer\": \"Martine\"\n },\n {\n \"question_id\": \"56946\",\n \"answer\": \"Martine\"\n },\n {\n \"question_id\": \"56947\",\n \"answer\": \"the old frontiersman\"\n },\n {\n \"question_id\": \"56948\",\n \"answer\": \"with his sons,\"\n },\n {\n \"question_id\": \"56949\",\n \"answer\": \"the land claim\"\n },\n {\n \"question_id\": \"56950\",\n \"answer\": \"the claim.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Cairo (CNN) -- The recent health crisis for former Egyptian ruler Hosni Mubarak started when he slipped in a prison bathroom, his attorney told CNN Thursday. \n\nThe ousted strongman hurt his neck and developed a blood clot after the fall in Tora prison, attorney Farid El Deeb said. \n\nEl Deeb said Mubarak was taken off life-support equipment and his health improved on Wednesday, a day after grim and contradictory news emerged over the 84-year-old man's health. \n\nThe state-run Middle East News Agency reported that he was \"clinically dead.\" The nation's military rulers denied the report, with one general saying Mubarak's health was deteriorating and he was in critical condition. \n\nMubarak was transferred from Tora prison to Maadi Military Hospital. Now, El Deeb said, his ailing client is out of a coma and under the care of doctors at the facility's intensive care unit. \n\n\"He had slipped in the bathroom of Tora prison and hurt his neck, which caused a blood clot that started all his medical problems that night, last Tuesday, including heart attack and irregular breathing,\" El Deeb said. \n\nHe said he had warned before that \"the prison hospital was not equipped with well-trained nurses or personnel to assist him or proper equipment.\" \n\nThe lawyer said he hadn't been informed about how the latest bout of health problems started because he was in Lebanon when Mubarak fell sick. \n\n\"I was getting information by phone with a minute-to-minute update, but I learned that he fell when I returned to Cairo,\" he said. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"71684\": \"Who is the article about?\"\n },\n {\n \"71685\": \"Where is he from?\"\n },\n {\n \"71686\": \"Did he slip in a hallway?\"\n },\n {\n \"71687\": \"Where?\"\n },\n {\n \"71688\": \"Is he okay?\"\n },\n {\n \"71689\": \"Is he awake?\"\n },\n {\n \"71690\": \"How old is he?\"\n },\n {\n \"71691\": \"Did he slip at his home?\"\n },\n {\n \"71692\": \"Where?\"\n },\n {\n \"71693\": \"When did this happen?\"\n },\n {\n \"71694\": \"Did he have legal counsel?\"\n },\n {\n \"71695\": \"What was his name?\"\n },\n {\n \"71696\": \"Where was he when he heard of the accident?\"\n },\n {\n \"71697\": \"Were there daily reports of his status?\"\n },\n {\n \"71698\": \"How fast were they?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"71684\",\n \"answer\": \"Hosni Mubarak\"\n },\n {\n \"question_id\": \"71685\",\n \"answer\": \"Egypt\"\n },\n {\n \"question_id\": \"71686\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"71687\",\n \"answer\": \"in a bathroom\"\n },\n {\n \"question_id\": \"71688\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"71689\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"71690\",\n \"answer\": \"84\"\n },\n {\n \"question_id\": \"71691\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"71692\",\n \"answer\": \"Tora prison\"\n },\n {\n \"question_id\": \"71693\",\n \"answer\": \"ast Tuesday\"\n },\n {\n \"question_id\": \"71694\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"71695\",\n \"answer\": \"Farid El Deeb\"\n },\n {\n \"question_id\": \"71696\",\n \"answer\": \"in Lebanon\"\n },\n {\n \"question_id\": \"71697\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"71698\",\n \"answer\": \"minute-to-minute\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Good evening, everyone! Let's talk about some of the new and the old everyday shows. The news is on Channel Six from 6:00 to 7:00 every evening. Johnson has been reading the news for many years. He and his group always do their job well. The same channel is also good for late night watching. At 11:30 every night, Ted talks with famous people on this 90-minute show Night Time. He always has interesting people on. This week, three movie stars are going to talk about their new movies. In the afternoon, Channel Eleven has a good children's show The Children's Room at 3:30. This show has interesting cartoons. They keep children happy and entertained for hours. Channel Three has the best game shows. They ask some interesting questions and give away a lot of money and gifts. It's really a good way to learn about the world in the game shows.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"75049\": \"What is on at night after 11pm?\"\n },\n {\n \"75050\": \"What is on Channel Six?\"\n },\n {\n \"75051\": \"Which channel has cartoons?\"\n },\n {\n \"75052\": \"At what time?\"\n },\n {\n \"75053\": \"Where can you watch game shows?\"\n },\n {\n \"75054\": \"Are they educational?\"\n },\n {\n \"75055\": \"Who reads the news?\"\n },\n {\n \"75056\": \"Who are the guests on Night Time this week?\"\n },\n {\n \"75057\": \"What are they going to discuss?\"\n },\n {\n \"75058\": \"Who is the host?\"\n },\n {\n \"75059\": \"What time does the show start?\"\n },\n {\n \"75060\": \"How long is it?\"\n },\n {\n \"75061\": \"What night is it on?\"\n },\n {\n \"75062\": \"Is Johnson new at channel six?\"\n },\n {\n \"75063\": \"How long has he been doing his job?\"\n },\n {\n \"75064\": \"What do people win on the game shows?\"\n },\n {\n \"75065\": \"Which channel has shows for kids?\"\n },\n {\n \"75066\": \"Any show in particular?\"\n },\n {\n \"75067\": \"What time does it aire?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"75049\",\n \"answer\": \"Night Time\"\n },\n {\n \"question_id\": \"75050\",\n \"answer\": \"The news\"\n },\n {\n \"question_id\": \"75051\",\n \"answer\": \"Channel Eleven\"\n },\n {\n \"question_id\": \"75052\",\n \"answer\": \"3:30\"\n },\n {\n \"question_id\": \"75053\",\n \"answer\": \"Channel Three\"\n },\n {\n \"question_id\": \"75054\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"75055\",\n \"answer\": \"Johnson\"\n },\n {\n \"question_id\": \"75056\",\n \"answer\": \"3 movie stars\"\n },\n {\n \"question_id\": \"75057\",\n \"answer\": \"their new movies\"\n },\n {\n \"question_id\": \"75058\",\n \"answer\": \"Ted\"\n },\n {\n \"question_id\": \"75059\",\n \"answer\": \"At 11:30\"\n },\n {\n \"question_id\": \"75060\",\n \"answer\": \"90-minutes\"\n },\n {\n \"question_id\": \"75061\",\n \"answer\": \"every night\"\n },\n {\n \"question_id\": \"75062\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"75063\",\n \"answer\": \"many years\"\n },\n {\n \"question_id\": \"75064\",\n \"answer\": \"money and gifts\"\n },\n {\n \"question_id\": \"75065\",\n \"answer\": \"Channel Eleven\"\n },\n {\n \"question_id\": \"75066\",\n \"answer\": \"The Children's Room\"\n },\n {\n \"question_id\": \"75067\",\n \"answer\": \"3:30.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Sometimes, something that is considered to be negative turns out to be an advantage on the job. Though he is only l8 years old and blind, Suleyman Gokyigit is among the top computer technicians and programmers at InteliData Technologies Corp., a large software company with several offices across the United States. \n\n\"After our company united with another one last October, two different computer networks were driving us crazy,\" recalls Douglas Braun, the InteliData president. \"We couldn't even send e-mail to each other.\" In three weeks Mr Gokyigit created the software needed to connect the two networks. \"None of the company's 350 other employees could have done the job in three months,\" says Mr. Braun. \" Suleyman can 'see' into the heart of the computer.\" \n\nMr. Gokyigfi's gift, as Mr. Braun calls it, is an unusual ability to form an idea of the inside of a machine. \"The computer permits me to reach out into the world and do almost anything I want to do,\" says Mr. Gokyigit \n\nThe young programmer is _ as well, thanks partly to a highly developed sense of touch. Mitzi Nowakowski, an office manager at InteliData, remembers how he easily disconnected and reconnected their computer systems during a move last year. \"Through feel, Suleyman can find the position of connectors, pins and wires much faster than most other people with sight,\" he says. \n\nMuch of the student programmer's speed comes from his ability not to be interrupted while at the computer. When typing, he listens carefully to the synthesizer . His long, thin fingers fly over the keyboard. \"Nothing seems to shake his attention,\" says Mrs. Nowakowski, his boss. \n\nMr. Gokyigit is the only company employee who is available 24 hours a day. \"We consider him our top problem solver.\" says Mr. Braun.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"19272\": \"How old is Suleyman Gokyigit?\"\n },\n {\n \"19273\": \"where is he employed?\"\n },\n {\n \"19274\": \"what is different about him?\"\n },\n {\n \"19275\": \"what type of work does he do?\"\n },\n {\n \"19276\": \"how long did it take him to merge the two systems?\"\n },\n {\n \"19277\": \"how long would it have taken someone else?\"\n },\n {\n \"19278\": \"is he frequently disturbed while working?\"\n },\n {\n \"19279\": \"how many hours per day is he availble?\"\n },\n {\n \"19280\": \"what do his coworkers call him?\"\n },\n {\n \"19281\": \"who is Douglas Braun?\"\n },\n {\n \"19282\": \"who is the office manager?\"\n },\n {\n \"19283\": \"what does he listen to while typing?\"\n },\n {\n \"19284\": \"which of his senses have become highly developed?\"\n },\n {\n \"19285\": \"what do computers enable him to do?\"\n },\n {\n \"19286\": \"how did he unhook the computers when they moved?\"\n },\n {\n \"19287\": \"was he slower than a sighted person?\"\n },\n {\n \"19288\": \"is he a fast typist?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"19272\",\n \"answer\": \"18\"\n },\n {\n \"question_id\": \"19273\",\n \"answer\": \"InteliData Technologies Corp\"\n },\n {\n \"question_id\": \"19274\",\n \"answer\": \"he is only l8 years old and blind,\"\n },\n {\n \"question_id\": \"19275\",\n \"answer\": \"computer technician\"\n },\n {\n \"question_id\": \"19276\",\n \"answer\": \"three weeks\"\n },\n {\n \"question_id\": \"19277\",\n \"answer\": \"three months\"\n },\n {\n \"question_id\": \"19278\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"19279\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"19280\",\n \"answer\": \"our top problem solver\"\n },\n {\n \"question_id\": \"19281\",\n \"answer\": \"the InteliData president\"\n },\n {\n \"question_id\": \"19282\",\n \"answer\": \"Mitzi Nowakowski\"\n },\n {\n \"question_id\": \"19283\",\n \"answer\": \"a synthesizer\"\n },\n {\n \"question_id\": \"19284\",\n \"answer\": \"touch\"\n },\n {\n \"question_id\": \"19285\",\n \"answer\": \"reach out into the world and do almost anything I want to do\"\n },\n {\n \"question_id\": \"19286\",\n \"answer\": \"Through feel, Suleyman can find the position of connectors, pins and wires much faster than most other people with sight,\\\" he says.\"\n },\n {\n \"question_id\": \"19287\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"19288\",\n \"answer\": \"It mentions programing speed but not specifically typing\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n MPEG-1 or MPEG-2 Audio Layer III, more commonly referred to as MP3, is an audio coding format for digital audio which uses a form of lossy data compression. It is a common audio format for consumer audio streaming or storage, as well as a de facto standard of digital audio compression for the transfer and playback of music on most digital audio players. \n\nThe use of lossy compression is designed to greatly reduce the amount of data required to represent the audio recording and still sound like a faithful reproduction of the original uncompressed audio for most listeners. An MP3 file that is created using the setting of 128 kbit/s will result in a file that is about 1/11 the size of the CD file created from the original audio source (44,100 samples per second × 16 bits per sample × 2 channels = 1,411,200 bit/s; MP3 compressed at 128 kbit/s: 128,000 bit/s [1 k = 1,000, not 1024, because it is a bit rate]. Ratio: 1,411,200/128,000 = 11.025). An MP3 file can also be constructed at higher or lower bit rates, with higher or lower resulting quality.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"9636\": \"Is MP3 commonly used?\"\n },\n {\n \"9637\": \"What is it used for?\"\n },\n {\n \"9638\": \"What is its full name?\"\n },\n {\n \"9639\": \"Is it used for analog audio?\"\n },\n {\n \"9640\": \"What's the purpose of compression?\"\n },\n {\n \"9641\": \"Should it sound different?\"\n },\n {\n \"9642\": \"How much smaller is an MP3 file than a CD?\"\n },\n {\n \"9643\": \"Could it be smaller than that?\"\n },\n {\n \"9644\": \"What would happen if it was smaller?\"\n },\n {\n \"9645\": \"And if it were higher, what could happen?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"9636\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"9637\",\n \"answer\": \"consumer audio streaming or storage\"\n },\n {\n \"question_id\": \"9638\",\n \"answer\": \"MPEG-1 or MPEG-2 Audio Layer III\"\n },\n {\n \"question_id\": \"9639\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"9640\",\n \"answer\": \"reduce the amount of data required\"\n },\n {\n \"question_id\": \"9641\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"9642\",\n \"answer\": \"about 1/11 the size\"\n },\n {\n \"question_id\": \"9643\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"9644\",\n \"answer\": \"lower resulting quality\"\n },\n {\n \"question_id\": \"9645\",\n \"answer\": \"higher resulting quality\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Everybody in London knew Mr. Scrooge. He was very rich but also very mean. The most important thing in his life was money! At six o'clock Bob Cratchit, Scrooge's clerk, went to Mr. Scrooge. \"Excuse me. sir. Tomorrow is Christmas Day, can l stay at home?\" \"Stay at home,\" shouted Scrooge. \"I don't pay you to stay at home!\" \"But it is Christmas,\" said Cratchit. \"Very well,\" said Scrooge. \"but you must work double hours on Boxing Day!\" \"Yes sir, certainly sir, Merry Christmas, sir.\" \"Get out,\" shouted Scrooge. \"Christmas! Everybody talks about Christmas!\" said Scrooge. \"It's just an excuse not to work. People want money too. Always money! For doing nothing!\" Scrooge put on his hat and coat and left the office. It was Christmas Eve and everyone was shopping. It was dark and Scrooge was alone. He saw a person dressed in black. \"Are you the Spirit of Christmas to come?\" asked Scrooge. The Spirit didn't speak. It pointed to a group of people. The people were talking. \"Is he dead?\" asked one man. \"Yes. No-one will cry for him,\" said another. \"He was a horrible, unkind man. He never gave money to us poor people. He wasn't a happy man.\" \"Who's dead?\" asked Scrooge. The Spirit pointed down. It was a grave . There were no flowers and no people there. \"Who is it?\" asked Scrooge nervously. The Spirit pointed again. \"No, I don't want to look, I want to go home.\" But the Spirit didn't move. Very slowly Scrooge rubbed the snow away. On the grave were the words EBENEZER SCROOGE. It was morning. Christmas morning. Scrooge was in bed! \"I'm alive, I'm alive, how wonderful!\" He jumped out of bed, singing and dancing as he went around the room. \"What a beautiful day it is. I love Christmas. I love everybody.\" He went to the butcher's and said, \"Take the biggest turkey you have to Bob Cratchit's house.\" Scrooge met the two men collecting money for the poor. \"Please take this,\" said Scrooge to the men and gave them a big sum of money for the poor. From that Christmas Scrooge was a new man. He helped the poor and was kind to everyone. He became a happy man and everybody loved him.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"14331\": \"Who worked for Scrooge?\"\n },\n {\n \"14332\": \"what was his job?\"\n },\n {\n \"14333\": \"What did Cratchi want?\"\n },\n {\n \"14334\": \"If he gets off Christmas, what must he do on Boxing Day?\"\n },\n {\n \"14335\": \"What did Scrooge think Christmas was?\"\n },\n {\n \"14336\": \"What were people doing Christmas Eve?\"\n },\n {\n \"14337\": \"What was written on the gravestone?\"\n },\n {\n \"14338\": \"Was there anyone at his grave?\"\n },\n {\n \"14339\": \"Where did scrooge go on Christmas day?\"\n },\n {\n \"14340\": \"To buy what?\"\n },\n {\n \"14341\": \"who did he want to give it to?\"\n },\n {\n \"14342\": \"who did he give currency to?\"\n },\n {\n \"14343\": \"to help whom?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"14331\",\n \"answer\": \"Bob Cratchit\"\n },\n {\n \"question_id\": \"14332\",\n \"answer\": \"He was a clerk.\"\n },\n {\n \"question_id\": \"14333\",\n \"answer\": \"to stay home for Christmas\"\n },\n {\n \"question_id\": \"14334\",\n \"answer\": \"work double hours\"\n },\n {\n \"question_id\": \"14335\",\n \"answer\": \"an excuse not to work\"\n },\n {\n \"question_id\": \"14336\",\n \"answer\": \"shopping\"\n },\n {\n \"question_id\": \"14337\",\n \"answer\": \"EBENEZER SCROOGE\"\n },\n {\n \"question_id\": \"14338\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"14339\",\n \"answer\": \"the butcher's\"\n },\n {\n \"question_id\": \"14340\",\n \"answer\": \"the biggest turkey\"\n },\n {\n \"question_id\": \"14341\",\n \"answer\": \"Bob Cratchit\"\n },\n {\n \"question_id\": \"14342\",\n \"answer\": \"two men\"\n },\n {\n \"question_id\": \"14343\",\n \"answer\": \"the poor\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Palermo (Italian: [paˈlɛrmo] ( listen), Sicilian: Palermu, Latin: Panormus, from Greek: Πάνορμος, Panormos, Arabic: بَلَرْم‎, Balarm; Phoenician: זִיז, Ziz) is a city in Insular Italy, the capital of both the autonomous region of Sicily and the Province of Palermo. The city is noted for its history, culture, architecture and gastronomy, playing an important role throughout much of its existence; it is over 2,700 years old. Palermo is located in the northwest of the island of Sicily, right by the Gulf of Palermo in the Tyrrhenian Sea. \n\nThe city was founded in 734 BC by the Phoenicians as Ziz ('flower'). Palermo then became a possession of Carthage, before becoming part of the Roman Republic, the Roman Empire and eventually part of the Byzantine Empire, for over a thousand years. The Greeks named the city Panormus meaning 'complete port'. From 831 to 1072 the city was under Arab rule during the Emirate of Sicily when the city first became a capital. The Arabs shifted the Greek name into Balarm, the root for Palermo's present-day name. Following the Norman reconquest, Palermo became the capital of a new kingdom (from 1130 to 1816), the Kingdom of Sicily and the capital of the Holy Roman Empire under Frederick II Holy Roman Emperor and Conrad IV of Germany, King of the Romans. Eventually Sicily would be united with the Kingdom of Naples to form the Kingdom of the Two Sicilies until the Italian unification of 1860.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"5890\": \"What is the city being discussed?\"\n },\n {\n \"5891\": \"When was it established?\"\n },\n {\n \"5892\": \"What was the name given to it by the Greeks?\"\n },\n {\n \"5893\": \"How does that translate?\"\n },\n {\n \"5894\": \"Which means?\"\n },\n {\n \"5895\": \"How did the Arabs refer to it\"\n },\n {\n \"5896\": \"When did they rule?\"\n },\n {\n \"5897\": \"What occured in 1860?\"\n },\n {\n \"5898\": \"How did the Phoenicians refer to the city?\"\n },\n {\n \"5899\": \"Which means?\"\n },\n {\n \"5900\": \"Where is it located?\"\n },\n {\n \"5901\": \"Is the city recognized for its cousine?\"\n },\n {\n \"5902\": \"What else?\"\n },\n {\n \"5903\": \"Are there any significant bodies of water nearby?\"\n },\n {\n \"5904\": \"Can you name one?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"5890\",\n \"answer\": \"Palermo\"\n },\n {\n \"question_id\": \"5891\",\n \"answer\": \"734 BC\"\n },\n {\n \"question_id\": \"5892\",\n \"answer\": \"\\u03a0\\u03ac\\u03bd\\u03bf\\u03c1\\u03bc\\u03bf\\u03c2\"\n },\n {\n \"question_id\": \"5893\",\n \"answer\": \"Panormos\"\n },\n {\n \"question_id\": \"5894\",\n \"answer\": \"\\u03a0\\u03ac\\u03bd\\u03bf\\u03c1\\u03bc\\u03bf\\u03c2\"\n },\n {\n \"question_id\": \"5895\",\n \"answer\": \"Balarm\"\n },\n {\n \"question_id\": \"5896\",\n \"answer\": \"From 831 to 1072\"\n },\n {\n \"question_id\": \"5897\",\n \"answer\": \"Italian unification\"\n },\n {\n \"question_id\": \"5898\",\n \"answer\": \"Ziz\"\n },\n {\n \"question_id\": \"5899\",\n \"answer\": \"flowe\"\n },\n {\n \"question_id\": \"5900\",\n \"answer\": \"northwest of Sicily\"\n },\n {\n \"question_id\": \"5901\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"5902\",\n \"answer\": \"history, architecture and gastronomy\"\n },\n {\n \"question_id\": \"5903\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"5904\",\n \"answer\": \"Gulf of Palermo\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XII \n\nTHE WHITE WITCH \n\nI descended from the litter and told the others what the old fellow had said. Robertson did not want to come, and indeed refused to do so until I suggested to him that such conduct might prejudice a powerful person against us. Umslopogaas was indifferent, putting, as he remarked, no faith in a ruler who was a woman. \n\nOnly Hans, although he was so tired, acquiesced with some eagerness, the fact being that his brain was more alert and that he had all the curiosity of the monkey tribe which he so much resembled in appearance, and wanted to see this queen whom Zikali revered. \n\nIn the end we started, conducted by Billali and by men who carried torches whereof the light showed me that we were passing between houses, or at any rate walls that had been those of houses, and along what seemed to be a paved street. \n\nWalking under what I took to be a great arch or portico, we came into a court that was full of towering pillars but unroofed, for I could see the stars above. At its end we entered a building of which the doorway was hung with mats, to find that it was lighted with lamps and that all down its length on either side guards with long spears stood at intervals. \n\n\"Oh, Baas,\" said Hans hesitatingly, \"this is the mouth of a trap,\" while Umslopogaas glared about him suspiciously, fingering the handle of his great axe. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"10089\": \"What did the glow of fire allow to be seen while they were walking?\"\n },\n {\n \"10090\": \"Where they in the woods?\"\n },\n {\n \"10091\": \"Where were they?\"\n },\n {\n \"10092\": \"What was above their heads?\"\n },\n {\n \"10093\": \"That led them onto what?\"\n },\n {\n \"10094\": \"Was there a roof on it?\"\n },\n {\n \"10095\": \"Did they remain outdoors?\"\n },\n {\n \"10096\": \"Was their entrance covered?\"\n },\n {\n \"10097\": \"What covered it?\"\n },\n {\n \"10098\": \"Was it dark inside when they got inside?\"\n },\n {\n \"10099\": \"What did they see inside?\"\n },\n {\n \"10100\": \"Was the group comfortable as they entered?\"\n },\n {\n \"10101\": \"Did they have a way to protect themselves?\"\n },\n {\n \"10102\": \"How many weapons did they have that we know of?\"\n },\n {\n \"10103\": \"Who of their group did not want to accompany them?\"\n },\n {\n \"10104\": \"What was Umslopogaas's opinion?\"\n },\n {\n \"10105\": \"Why was he indifferent?\"\n },\n {\n \"10106\": \"Who looked like the other tribe?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"10089\",\n \"answer\": \"that they were passing between houses\"\n },\n {\n \"question_id\": \"10090\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"10091\",\n \"answer\": \"a paved street\"\n },\n {\n \"question_id\": \"10092\",\n \"answer\": \"a great arch\"\n },\n {\n \"question_id\": \"10093\",\n \"answer\": \"a court\"\n },\n {\n \"question_id\": \"10094\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"10095\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"10096\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"10097\",\n \"answer\": \"the stars above\"\n },\n {\n \"question_id\": \"10098\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"10099\",\n \"answer\": \"guards\"\n },\n {\n \"question_id\": \"10100\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"10101\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"10102\",\n \"answer\": \"just one\"\n },\n {\n \"question_id\": \"10103\",\n \"answer\": \"Robertson\"\n },\n {\n \"question_id\": \"10104\",\n \"answer\": \"He was indifferent\"\n },\n {\n \"question_id\": \"10105\",\n \"answer\": \"He had no faith in a ruler who was a woman.\"\n },\n {\n \"question_id\": \"10106\",\n \"answer\": \"Hans\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Philosophers in antiquity used the concept of force in the study of stationary and moving objects and simple machines, but thinkers such as Aristotle and Archimedes retained fundamental errors in understanding force. In part this was due to an incomplete understanding of the sometimes non-obvious force of friction, and a consequently inadequate view of the nature of natural motion. A fundamental error was the belief that a force is required to maintain motion, even at a constant velocity. Most of the previous misunderstandings about motion and force were eventually corrected by Galileo Galilei and Sir Isaac Newton. With his mathematical insight, Sir Isaac Newton formulated laws of motion that were not improved-on for nearly three hundred years. By the early 20th century, Einstein developed a theory of relativity that correctly predicted the action of forces on objects with increasing momenta near the speed of light, and also provided insight into the forces produced by gravitation and inertia.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"30317\": \"How long did it take for Newton's laws to be corrected?\"\n },\n {\n \"30318\": \"Whose theory had accurate predictions?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"30317\",\n \"answer\": \"nearly three hundred years.\"\n },\n {\n \"question_id\": \"30318\",\n \"answer\": \"Einstein\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Last Thursday, a young woman saved an elderly man from a burning house on Garden Road. The young woman's name is Kitty and she works in a clothes shop. The elderly man, Daniel, lives just opposite the clothes shop. On Thursday afternoon, Kitty looked out of the window. She saw some smoke coming from Daniel's house and rushed over to see what was happening. The house was on fire and Daniel was inside. Kitty quickly called the fireman on 999. Then, she ran into the house to save Daniel. She found Daniel in his bedroom and he was frightened. Kitty helped Daniel out to a safe place. Five minutes later the fireman arrived and they put out the fire. No one was hurt. The next day, Daniel said,\"I am so grateful to Kitty. She saved my life.\"Daniel also said,\"In the future, I will be more careful. I don't want another fire in my house.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"46146\": \"Who saved someone?\"\n },\n {\n \"46147\": \"Who did she save?\"\n },\n {\n \"46148\": \"From where did she rescue him?\"\n },\n {\n \"46149\": \"On what street?\"\n },\n {\n \"46150\": \"Does she work in a coffee shop?\"\n },\n {\n \"46151\": \"Where then?\"\n },\n {\n \"46152\": \"How did she know there was something ablaze?\"\n },\n {\n \"46153\": \"What did she do next?\"\n },\n {\n \"46154\": \"And then what?\"\n },\n {\n \"46155\": \"Did she find him in the kitchen?\"\n },\n {\n \"46156\": \"How did Daniel feel?\"\n },\n {\n \"46157\": \"How soon did the fire fighters arrive?\"\n },\n {\n \"46158\": \"How did Daniel feel about Kitty?\"\n },\n {\n \"46159\": \"Was Daniel young?\"\n },\n {\n \"46160\": \"Where did she take him?\"\n },\n {\n \"46161\": \"How many people were injured?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"46146\",\n \"answer\": \"Kitty\"\n },\n {\n \"question_id\": \"46147\",\n \"answer\": \"Daniel\"\n },\n {\n \"question_id\": \"46148\",\n \"answer\": \"his bedroom\"\n },\n {\n \"question_id\": \"46149\",\n \"answer\": \"Garden Road\"\n },\n {\n \"question_id\": \"46150\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"46151\",\n \"answer\": \"a clothes shop\"\n },\n {\n \"question_id\": \"46152\",\n \"answer\": \"she saw some smoke coming from Daniel's house\"\n },\n {\n \"question_id\": \"46153\",\n \"answer\": \"rushed over to see what was happening\"\n },\n {\n \"question_id\": \"46154\",\n \"answer\": \"She called 999 then went into the house\"\n },\n {\n \"question_id\": \"46155\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"46156\",\n \"answer\": \"he was frightened\"\n },\n {\n \"question_id\": \"46157\",\n \"answer\": \"five minutes later\"\n },\n {\n \"question_id\": \"46158\",\n \"answer\": \"grateful\"\n },\n {\n \"question_id\": \"46159\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"46160\",\n \"answer\": \"to a safe place\"\n },\n {\n \"question_id\": \"46161\",\n \"answer\": \"0\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Tuvalu (i/tuːˈvɑːluː/ too-VAH-loo or /ˈtuːvəluː/ TOO-və-loo), formerly known as the Ellice Islands, is a Polynesian island nation located in the Pacific Ocean, midway between Hawaii and Australia. It comprises three reef islands and six true atolls spread out between the latitude of 5° to 10° south and longitude of 176° to 180°, west of the International Date Line. Its nearest neighbours are Kiribati, Nauru, Samoa and Fiji. Tuvalu has a population of 10,640 (2012 census). The total land area of the islands of Tuvalu is 26 square kilometres (10 sq mi). \n\nIn 1568, Spanish navigator Álvaro de Mendaña was the first European to sail through the archipelago, sighting the island of Nui during his expedition in search of Terra Australis. In 1819 the island of Funafuti was named Ellice's Island; the name Ellice was applied to all nine islands after the work of English hydrographer Alexander George Findlay. The islands came under Britain's sphere of influence in the late 19th century, when each of the Ellice Islands was declared a British Protectorate by Captain Gibson of HMS Curacoa between 9 and 16 October 1892. The Ellice Islands were administered as British protectorate by a Resident Commissioner from 1892 to 1916 as part of the British Western Pacific Territories (BWPT), and then as part of the Gilbert and Ellice Islands colony from 1916 to 1974.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"13283\": \"who was the first European to sail through the archipelago?\"\n },\n {\n \"13284\": \"what is Tuvalu's population?\"\n },\n {\n \"13285\": \"what are the Ellice islands now called?\"\n },\n {\n \"13286\": \"what is Tuvalu\\u2019s land area?\"\n },\n {\n \"13287\": \"How many neighbors are named?\"\n },\n {\n \"13288\": \"Where is Tuvalu located?\"\n },\n {\n \"13289\": \"Name one of its neighbors\"\n },\n {\n \"13290\": \"what island was named Ellice\\u2019s island?\"\n },\n {\n \"13291\": \"what were they apart of from 1916-1974?\"\n },\n {\n \"13292\": \"when did they come fall under Britain\\u2019s influence?\"\n },\n {\n \"13293\": \"who declared them a british protectorate?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"13283\",\n \"answer\": \"\\u00c1lvaro de Menda\\u00f1a\"\n },\n {\n \"question_id\": \"13284\",\n \"answer\": \"10,640\"\n },\n {\n \"question_id\": \"13285\",\n \"answer\": \"Tuvalu\"\n },\n {\n \"question_id\": \"13286\",\n \"answer\": \"26 square kilometres\"\n },\n {\n \"question_id\": \"13287\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"13288\",\n \"answer\": \"in the Pacific Ocean, midway between Hawaii and Australia\"\n },\n {\n \"question_id\": \"13289\",\n \"answer\": \"Kiribati\"\n },\n {\n \"question_id\": \"13290\",\n \"answer\": \"Funafuti\"\n },\n {\n \"question_id\": \"13291\",\n \"answer\": \"Britain's sphere of influence\"\n },\n {\n \"question_id\": \"13292\",\n \"answer\": \"19th century\"\n },\n {\n \"question_id\": \"13293\",\n \"answer\": \"Captain Gibson of HMS Curacoa\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XIV \n\nThe castle of Küssnacht lay on the opposite side of the lake, a mighty mass of stone reared on a mightier crag rising sheer out of the waves, which boiled and foamed about its foot. Steep rocks of fantastic shape hemmed it in, and many were the vessels which perished on these, driven thither by the frequent storms that swept over the lake. \n\nGessler and his men, Tell in their midst, bound and unarmed, embarked early in the afternoon at Flüelen, which was the name of the harbour where the Governor's ship had been moored. Flüelen was about two miles from Küssnacht. \n\nWhen they had arrived at the vessel they went on board, and Tell was placed at the bottom of the hold. It was pitch dark, and rats scampered over his body as he lay. The ropes were cast off, the sails filled, and the ship made her way across the lake, aided by a favouring breeze. \n\nA large number of the Swiss people had followed Tell and his captors to the harbour, and stood gazing sorrowfully after the ship as it diminished in the distance. There had been whispers of an attempted rescue, but nobody had dared to begin it, and the whispers had led to nothing. Few of the people carried weapons, and the soldiers were clad in armour, and each bore a long pike or a sharp sword. As Arnold of Sewa would have said if he had been present, what the people wanted was prudence. It was useless to attack men so thoroughly able to defend themselves. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"20248\": \"How many Swiss people followed?\"\n },\n {\n \"20249\": \"Who did they follow?\"\n },\n {\n \"20250\": \"Where did they follow to?\"\n },\n {\n \"20251\": \"Did they sit when they got there?\"\n },\n {\n \"20252\": \"What did they do?\"\n },\n {\n \"20253\": \"At what?\"\n },\n {\n \"20254\": \"Was it moving towards them?\"\n },\n {\n \"20255\": \"Which side of the lake was the castle on?\"\n },\n {\n \"20256\": \"What was the castle called?\"\n },\n {\n \"20257\": \"Was it made of wood?\"\n },\n {\n \"20258\": \"What was it made of?\"\n },\n {\n \"20259\": \"Who was in charge of the men?\"\n },\n {\n \"20260\": \"Did the men have weapons?\"\n },\n {\n \"20261\": \"When they leave Fluelen?\"\n },\n {\n \"20262\": \"How far was this from Kussnacht?\"\n },\n {\n \"20263\": \"Did they board the ship?\"\n },\n {\n \"20264\": \"Where did they put Tell?\"\n },\n {\n \"20265\": \"Was it well lit?\"\n },\n {\n \"20266\": \"How was it described?\"\n },\n {\n \"20267\": \"Was ran along his body?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"20248\",\n \"answer\": \"A large number .\"\n },\n {\n \"question_id\": \"20249\",\n \"answer\": \"Tell and his captors.\"\n },\n {\n \"question_id\": \"20250\",\n \"answer\": \"The harbour,\"\n },\n {\n \"question_id\": \"20251\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"20252\",\n \"answer\": \"Stood gazing.\"\n },\n {\n \"question_id\": \"20253\",\n \"answer\": \"The ship.\"\n },\n {\n \"question_id\": \"20254\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"20255\",\n \"answer\": \"The opposite side of the lake\"\n },\n {\n \"question_id\": \"20256\",\n \"answer\": \"K\\u00fcssnacht\"\n },\n {\n \"question_id\": \"20257\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"20258\",\n \"answer\": \"Stone\"\n },\n {\n \"question_id\": \"20259\",\n \"answer\": \"Gessler\"\n },\n {\n \"question_id\": \"20260\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"20261\",\n \"answer\": \"Early in the afternoon.\"\n },\n {\n \"question_id\": \"20262\",\n \"answer\": \"Two miles.\"\n },\n {\n \"question_id\": \"20263\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"20264\",\n \"answer\": \"At the bottom of the hold.\"\n },\n {\n \"question_id\": \"20265\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"20266\",\n \"answer\": \"It was pitch dark.\"\n },\n {\n \"question_id\": \"20267\",\n \"answer\": \"Rats.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER ONE. \n\nTREATS OF OUR HERO'S EARLY LIFE, AND TOUCHES ON DOMESTIC MATTERS. \n\nWilliam Osten was a wanderer by nature. He was born with a thirst for adventure that nothing could quench, and with a desire to rove that nothing could subdue. \n\nEven in babyhood, when his limbs were fat and feeble, and his visage was round and red, he displayed his tendency to wander in ways and under circumstances that other babies never dreamt of. He kept his poor mother in a chronic fever of alarm, and all but broke the heart of his nurse, long before he could walk, by making his escape from the nursery over and over again, on his hands and knees; which latter bore constant marks of being compelled to do the duty of feet in dirty places. \n\nBaby Will never cried. To have heard him yell would have rejoiced the hearts of mother and nurse, for that would have assured them of his being near at hand and out of mischief--at least not engaged in more than ordinary mischief. But Baby Will was a natural philosopher from his birth. He displayed his wisdom by holding his peace at all times, except when very hard pressed by hunger or pain, and appeared to regard life in general in a grave, earnest, inquiring spirit. Nevertheless, we would not have it understood that Will was a slow, phlegmatic baby. By no means. His silence was deep, his gravity profound, and his earnestness intense, so that, as a rule, his existence was unobtrusive. But his energy was tremendous. What he undertook to do he usually did with all his might and main--whether it was the rending of his pinafore or the smashing of his drum! \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"21791\": \"where would he escape from as a baby?\"\n },\n {\n \"21792\": \"did he do this just once?\"\n },\n {\n \"21793\": \"what was he by nature?\"\n },\n {\n \"21794\": \"was he skinny as a baby?\"\n },\n {\n \"21795\": \"how was his body?\"\n },\n {\n \"21796\": \"what about his limbs?\"\n },\n {\n \"21797\": \"did he cry a lot?\"\n },\n {\n \"21798\": \"would it make everyone happy if he did?\"\n },\n {\n \"21799\": \"why?\"\n },\n {\n \"21800\": \"did his mother worry about him?\"\n },\n {\n \"21801\": \"what was he from the time he was born?\"\n },\n {\n \"21802\": \"when would he not have peace?\"\n },\n {\n \"21803\": \"did he have a lot of energy?\"\n },\n {\n \"21804\": \"what would he do with his drum?\"\n },\n {\n \"21805\": \"what was he thirsty for?\"\n },\n {\n \"21806\": \"could he walk when escaping from the nursery?\"\n },\n {\n \"21807\": \"how would he do it?\"\n },\n {\n \"21808\": \"what is said about his silence?\"\n },\n {\n \"21809\": \"what did he display by being peaceful?\"\n },\n {\n \"21810\": \"what did he regard life in?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"21791\",\n \"answer\": \"the nursery\"\n },\n {\n \"question_id\": \"21792\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21793\",\n \"answer\": \"wanderer\"\n },\n {\n \"question_id\": \"21794\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21795\",\n \"answer\": \"round and red\"\n },\n {\n \"question_id\": \"21796\",\n \"answer\": \"fat and feeble\"\n },\n {\n \"question_id\": \"21797\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21798\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21799\",\n \"answer\": \"that would have assured them of his being near at hand\"\n },\n {\n \"question_id\": \"21800\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21801\",\n \"answer\": \"philosopher\"\n },\n {\n \"question_id\": \"21802\",\n \"answer\": \"when very hard pressed by hunger or pain\"\n },\n {\n \"question_id\": \"21803\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21804\",\n \"answer\": \"smash it\"\n },\n {\n \"question_id\": \"21805\",\n \"answer\": \"adventure\"\n },\n {\n \"question_id\": \"21806\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21807\",\n \"answer\": \"on his hands and knees\"\n },\n {\n \"question_id\": \"21808\",\n \"answer\": \"it was deep\"\n },\n {\n \"question_id\": \"21809\",\n \"answer\": \"his wisdom\"\n },\n {\n \"question_id\": \"21810\",\n \"answer\": \"a grave, earnest, inquiring spirit.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n 16:9 (1.7:1) (16:9 = 4:3) is an aspect ratio with a width of 16 units and height of 9. Since 2010 it has become the most common aspect ratio for televisions and computer monitors, and is also the international standard format of HDTV, Full HD, non-HD digital television and analog widescreen television. This has replaced the old . \n\nDr. Kerns H. Powers, a member of the SMPTE Working Group on High-Definition Electronic Production, first proposed the 16:9 (1.7:1) aspect ratio at a time when nobody was creating 16:9 videos. The popular choices in 1980 were: 1.3:1 (based on television standard's ratio at the time), 1.6:1 (the European \"flat\" ratio), 1.85:1 (the American \"flat\" ratio), 2.20:1 (the ratio of 70 mm films and Panavision) and 2.39:1 (the CinemaScope ratio for anamorphic widescreen films). \n\nPowers cut out rectangles with equal areas, shaped to match each of the popular aspect ratios. When overlapped with their center points aligned, he found that all of those aspect ratio rectangles fit within an outer rectangle with an aspect ratio of 1.7:1 and all of them also covered a smaller common inner rectangle with the same aspect ratio 1.7:1. The value found by Powers is exactly the geometric mean of the extreme aspect ratios, 4:3 (1.3:1) and 2.35:1 (or 64:27, see also for more information), √ ≈ 1.770 which is coincidentally close to 16:9 (1.7:1). Applying the same geometric mean technique to 16:9 and 4:3 yields the aspect ratio, which is likewise used as a compromise between these ratios.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"50658\": \"What is the most common aspect ratio for TVs?\"\n },\n {\n \"50659\": \"Is this the international standard?\"\n },\n {\n \"50660\": \"For which types of TV?\"\n },\n {\n \"50661\": \"And?\"\n },\n {\n \"50662\": \"Anything else?\"\n },\n {\n \"50663\": \"Who proposed this ratio?\"\n },\n {\n \"50664\": \"Is he a doctor?\"\n },\n {\n \"50665\": \"Was he a member of any professional organizations at the time?\"\n },\n {\n \"50666\": \"Which one?\"\n },\n {\n \"50667\": \"What decade did he make this proposal?\"\n },\n {\n \"50668\": \"Were there other choices then?\"\n },\n {\n \"50669\": \"Was that considered standard?\"\n },\n {\n \"50670\": \"What about in Europe?\"\n },\n {\n \"50671\": \"Was that considered flat?\"\n },\n {\n \"50672\": \"Did America have a flat ratio?\"\n },\n {\n \"50673\": \"What was it?\"\n },\n {\n \"50674\": \"What was used for 70mm movies?\"\n },\n {\n \"50675\": \"Was that used for anything else?\"\n },\n {\n \"50676\": \"What?\"\n },\n {\n \"50677\": \"Did Powers use rectangles with different areas?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"50658\",\n \"answer\": \"16:9 = 4:3) is an aspect ratio with a width of 16 units and height of 9. Since 2010 it has become the most common aspect ratio for televisions and computer monitors\"\n },\n {\n \"question_id\": \"50659\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"50660\",\n \"answer\": \"HDTV\"\n },\n {\n \"question_id\": \"50661\",\n \"answer\": \"Full HD\"\n },\n {\n \"question_id\": \"50662\",\n \"answer\": \"non-HD digital television and analog widescreen television\"\n },\n {\n \"question_id\": \"50663\",\n \"answer\": \"Kerns H. Powers\"\n },\n {\n \"question_id\": \"50664\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"50665\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"50666\",\n \"answer\": \"SMPTE Working Group on High-Definition Electronic Production\"\n },\n {\n \"question_id\": \"50667\",\n \"answer\": \"1980s\"\n },\n {\n \"question_id\": \"50668\",\n \"answer\": \"1.3:1\"\n },\n {\n \"question_id\": \"50669\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"50670\",\n \"answer\": \"1.6:1\"\n },\n {\n \"question_id\": \"50671\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"50672\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"50673\",\n \"answer\": \"1.85:1\"\n },\n {\n \"question_id\": \"50674\",\n \"answer\": \"2.20:1\"\n },\n {\n \"question_id\": \"50675\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"50676\",\n \"answer\": \"Panavision\"\n },\n {\n \"question_id\": \"50677\",\n \"answer\": \"no\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n In 1790, the first federal population census was taken in the United States. Enumerators were instructed to classify free residents as white or \"other.\" Only the heads of households were identified by name in the federal census until 1850. Native Americans were included among \"Other;\" in later censuses, they were included as \"Free people of color\" if they were not living on Indian reservations. Slaves were counted separately from free persons in all the censuses until the Civil War and end of slavery. In later censuses, people of African descent were classified by appearance as mulatto (which recognized visible European ancestry in addition to African) or black. \n\nBy 1990, the Census Bureau included more than a dozen ethnic/racial categories on the census, reflecting not only changing social ideas about ethnicity, but the wide variety of immigrants who had come to reside in the United States due to changing historical forces and new immigration laws in the 1960s. With a changing society, more citizens have begun to press for acknowledging multiracial ancestry. The Census Bureau changed its data collection by allowing people to self-identify as more than one ethnicity. Some ethnic groups are concerned about the potential political and economic effects, as federal assistance to historically underserved groups has depended on Census data. According to the Census Bureau, as of 2002, over 75% of all African Americans had multiracial ancestries.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"94435\": \"How many ways were people of African Descent classified in 1790?\"\n },\n {\n \"94436\": \"What about free residents?\"\n },\n {\n \"94437\": \"Unitil 1850 which group had their names included?\"\n },\n {\n \"94438\": \"Who took the count?\"\n },\n {\n \"94439\": \"When did the US start the census?\"\n },\n {\n \"94440\": \"At first how were Native Americans classes?\"\n },\n {\n \"94441\": \"and later?\"\n },\n {\n \"94442\": \"How were people with African blood classed?\"\n },\n {\n \"94443\": \"How many ways?\"\n },\n {\n \"94444\": \"what were they?\"\n },\n {\n \"94445\": \"How many African Americans choose to include more than one race?\"\n },\n {\n \"94446\": \"What does federal assistance depend on?\"\n },\n {\n \"94447\": \"Are people worried about this?\"\n },\n {\n \"94448\": \"Which groups depend on this aid?\"\n },\n {\n \"94449\": \"when did it include over 12 categories?\"\n },\n {\n \"94450\": \"Does this suggest a shift in thinking?\"\n },\n {\n \"94451\": \"about what?\"\n },\n {\n \"94452\": \"What kind of laws could have contributed?\"\n },\n {\n \"94453\": \"When were these laws from?\"\n },\n {\n \"94454\": \"What country is this census from?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"94435\",\n \"answer\": \"Just one\"\n },\n {\n \"question_id\": \"94436\",\n \"answer\": \"Also only one classification\"\n },\n {\n \"question_id\": \"94437\",\n \"answer\": \"Heads of households\"\n },\n {\n \"question_id\": \"94438\",\n \"answer\": \"Enumerators\"\n },\n {\n \"question_id\": \"94439\",\n \"answer\": \"In 1790\"\n },\n {\n \"question_id\": \"94440\",\n \"answer\": \"\\\"Other\\\"\"\n },\n {\n \"question_id\": \"94441\",\n \"answer\": \"as \\\"Free people of color\\\"\"\n },\n {\n \"question_id\": \"94442\",\n \"answer\": \"By appearance\"\n },\n {\n \"question_id\": \"94443\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"94444\",\n \"answer\": \"Mulatto or black\"\n },\n {\n \"question_id\": \"94445\",\n \"answer\": \"75%\"\n },\n {\n \"question_id\": \"94446\",\n \"answer\": \"On Census data\"\n },\n {\n \"question_id\": \"94447\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"94448\",\n \"answer\": \"Historically underserved ones\"\n },\n {\n \"question_id\": \"94449\",\n \"answer\": \"By 1990\"\n },\n {\n \"question_id\": \"94450\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"94451\",\n \"answer\": \"ethnicity\"\n },\n {\n \"question_id\": \"94452\",\n \"answer\": \"immigration\"\n },\n {\n \"question_id\": \"94453\",\n \"answer\": \"the 1960s\"\n },\n {\n \"question_id\": \"94454\",\n \"answer\": \"The United States\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Yale University is an American private Ivy League research university in New Haven, Connecticut. Founded in 1701 in Saybrook Colony as the Collegiate School, the University is the third-oldest institution of higher education in the United States. The school was renamed Yale College in 1718 in recognition of a gift from Elihu Yale, who was governor of the British East India Company. Established to train Congregationalist ministers in theology and sacred languages, by 1777 the school's curriculum began to incorporate humanities and sciences. In the 19th century the school incorporated graduate and professional instruction, awarding the first Ph.D. in the United States in 1861 and organizing as a university in 1887. \n\nYale is organized into fourteen constituent schools: the original undergraduate college, the Yale Graduate School of Arts and Sciences, and twelve professional schools. While the university is governed by the Yale Corporation, each school's faculty oversees its curriculum and degree programs. In addition to a central campus in downtown New Haven, the University owns athletic facilities in western New Haven, including the Yale Bowl, a campus in West Haven, Connecticut, and forest and nature preserves throughout New England. The university's assets include an endowment valued at $25.6 billion as of September 2015, the second largest of any educational institution.The Yale University Library, serving all constituent schools, holds more than 15 million volumes and is the third-largest academic library in the United States.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"23708\": \"How many books are in it's library?\"\n },\n {\n \"23709\": \"Is it a small library?\"\n },\n {\n \"23710\": \"How does it rank among American libraries?\"\n },\n {\n \"23711\": \"What does it serve?\"\n },\n {\n \"23712\": \"How many are there?\"\n },\n {\n \"23713\": \"Which one was the original?\"\n },\n {\n \"23714\": \"Where was it?\"\n },\n {\n \"23715\": \"When did it start?\"\n },\n {\n \"23716\": \"Is it a public school?\"\n },\n {\n \"23717\": \"What city is it in?\"\n },\n {\n \"23718\": \"In what state?\"\n },\n {\n \"23719\": \"Why was the name changed?\"\n },\n {\n \"23720\": \"From whom?\"\n },\n {\n \"23721\": \"What did he do?\"\n },\n {\n \"23722\": \"Of what?\"\n },\n {\n \"23723\": \"What was it supposed to train?\"\n },\n {\n \"23724\": \"When was the first PHD granted?\"\n },\n {\n \"23725\": \"When did it become a university?\"\n },\n {\n \"23726\": \"How much money is endowed?\"\n },\n {\n \"23727\": \"Is that big?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"23708\",\n \"answer\": \"15 million\"\n },\n {\n \"question_id\": \"23709\",\n \"answer\": \"no, not at all\"\n },\n {\n \"question_id\": \"23710\",\n \"answer\": \"third-largest academic library\"\n },\n {\n \"question_id\": \"23711\",\n \"answer\": \"all constituent schools\"\n },\n {\n \"question_id\": \"23712\",\n \"answer\": \"fourteen\"\n },\n {\n \"question_id\": \"23713\",\n \"answer\": \"Collegiate School\"\n },\n {\n \"question_id\": \"23714\",\n \"answer\": \"Saybrook Colony\"\n },\n {\n \"question_id\": \"23715\",\n \"answer\": \"1701\"\n },\n {\n \"question_id\": \"23716\",\n \"answer\": \"Yale Corporation\"\n },\n {\n \"question_id\": \"23717\",\n \"answer\": \"New Haven\"\n },\n {\n \"question_id\": \"23718\",\n \"answer\": \"Connecticut\"\n },\n {\n \"question_id\": \"23719\",\n \"answer\": \"got gift\"\n },\n {\n \"question_id\": \"23720\",\n \"answer\": \"Elihu Yale\"\n },\n {\n \"question_id\": \"23721\",\n \"answer\": \"governor\"\n },\n {\n \"question_id\": \"23722\",\n \"answer\": \"British East India Company\"\n },\n {\n \"question_id\": \"23723\",\n \"answer\": \"Congregationalist ministers\"\n },\n {\n \"question_id\": \"23724\",\n \"answer\": \"1861\"\n },\n {\n \"question_id\": \"23725\",\n \"answer\": \"1887\"\n },\n {\n \"question_id\": \"23726\",\n \"answer\": \"$25.6 billion\"\n },\n {\n \"question_id\": \"23727\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Los Angeles (CNN) -- You wouldn't have expected Charlie Sheen to go quietly after his increasingly bizarre behavior prompted his TV bosses to fire him from \"Two and a Half Men,\" and Sheen would not want to disappoint you. \n\nHe spewed an eight-and-a-half-minute, grandiloquent, profanity-laced tirade online late Tuesday, a day after he was sacked. \n\nAt first Sheen comes across like a college student who's read too much of the Beat writers Jack Kerouac or Allen Ginsberg, referring to himself as the \"raven-wise, Gibson-shredding napalm poet before you, alone and unshackled. \n\n\"Oh how they once begged to attend my perfect banquet in the nude,\" Sheen intones. \"Now they just beg for the keys to my gold.\" \n\nHe calls himself the \"Malibu Messiah\" and repeatedly refers to himself as a warlock. \n\nBut, clearly reading a prepared speech in video recorded live on Ustream.com, Sheen goes on long enough to make it hard for viewers to laugh off his rant. \n\nChuck Lorre, the creator of the program that starred Sheen for eight years, comes in for the greatest abuse. \n\n\"I see you, you little worm, I see you behind your plastic smile, your bitchy pout, and your desperate need to be liked,\" Sheen says, calling the TV executive \"Chuck E. Cheese Ball,\" not using Lorre's full name. \n\nHe accuses Lorre of \"narcissism, greed (and) hatred of yourself -- or women,\" one of several moments in the video that should give armchair psychiatrists plenty of material to mine. \n\nHe says of CBS chief executive Les Moonves: \"You gave me your word so you gave me nothing. It must really suck being your missus,\" again mangling the name. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"96794\": \"Who made a rant on Tuesday?\"\n },\n {\n \"96795\": \"What happened a day before this?\"\n },\n {\n \"96796\": \"What prompted his firing?\"\n },\n {\n \"96797\": \"What poets does the writer compare him to?\"\n },\n {\n \"96798\": \"Any others?\"\n },\n {\n \"96799\": \"What instrument does Sheen claim to \\\"shred?\\\"\"\n },\n {\n \"96800\": \"In what condition does he assert guests wanted to go to his banquet?\"\n },\n {\n \"96801\": \"What does he think they grovel for?\"\n },\n {\n \"96802\": \"What nickname has he given himself?\"\n },\n {\n \"96803\": \"What mystic vocation does he claim to belong to?\"\n },\n {\n \"96804\": \"On what platform did he issue this rant?\"\n },\n {\n \"96805\": \"Did it seem impromptu?\"\n },\n {\n \"96806\": \"Was it easy for viewers to laugh off?\"\n },\n {\n \"96807\": \"Who was the creator of the show he got fired from?\"\n },\n {\n \"96808\": \"Who was the primary target of his ravings?\"\n },\n {\n \"96809\": \"What animal did Sheen compare him to?\"\n },\n {\n \"96810\": \"And what nickname did Sheen grant him?\"\n },\n {\n \"96811\": \"How did he characterize Lorre's smile?\"\n },\n {\n \"96812\": \"And what character flaws did he accuse Lorre of possessing?\"\n },\n {\n \"96813\": \"Does he feel the CBS chief's wife is happy being married to him?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"96794\",\n \"answer\": \"Charlie Sheen\"\n },\n {\n \"question_id\": \"96795\",\n \"answer\": \"he was fired\"\n },\n {\n \"question_id\": \"96796\",\n \"answer\": \"his increasingly bizarre behavior\"\n },\n {\n \"question_id\": \"96797\",\n \"answer\": \"Jack Kerouac\"\n },\n {\n \"question_id\": \"96798\",\n \"answer\": \"Allen Ginsberg\"\n },\n {\n \"question_id\": \"96799\",\n \"answer\": \"Gibson\"\n },\n {\n \"question_id\": \"96800\",\n \"answer\": \"nude\"\n },\n {\n \"question_id\": \"96801\",\n \"answer\": \"keys to my gold.\\\"\"\n },\n {\n \"question_id\": \"96802\",\n \"answer\": \"Malibu Messiah\"\n },\n {\n \"question_id\": \"96803\",\n \"answer\": \"a warlock\"\n },\n {\n \"question_id\": \"96804\",\n \"answer\": \"Ustream.com\"\n },\n {\n \"question_id\": \"96805\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"96806\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"96807\",\n \"answer\": \"Chuck Lorre\"\n },\n {\n \"question_id\": \"96808\",\n \"answer\": \"Chuck Lorre\"\n },\n {\n \"question_id\": \"96809\",\n \"answer\": \"a worm\"\n },\n {\n \"question_id\": \"96810\",\n \"answer\": \"Chuck E. Cheese Ball\"\n },\n {\n \"question_id\": \"96811\",\n \"answer\": \"as plastic\"\n },\n {\n \"question_id\": \"96812\",\n \"answer\": \"narcissism and greed\"\n },\n {\n \"question_id\": \"96813\",\n \"answer\": \"no\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Chapter 11: Cortez. \n\nThe expedition, whose arrival had caused such excitement in Mexico, was commanded by Hernando Cortez, a man who united in his person all the gifts requisite for a great leader of men. He possessed a handsome person, great strength and skill at arms, extraordinary courage and daring, singular powers of conciliation and of bringing others to his way of thinking, pleasing and courteous demeanor, a careless and easy manner which concealed great sagacity and wisdom, an inexhaustible flow of spirits, and an iron determination. \n\nBorn in Estremadura in 1485, of an ancient and respectable family, he was--like many others who have distinguished themselves as great soldiers--while at school and college remarkable rather for mischievous freaks, and disregard of authority, than for love of learning. At the age of seventeen he had exhausted his parents' patience, and was on the point of starting with the expedition of Ovando, the successor to Columbus, when he so injured himself by a fall, incurred in one of his wild escapades, that he was unable to sail with it. Two years later, however, he went out in a merchant vessel to the Indies. \n\nOn reaching Hispaniola Ovando, who was governor of the island, received him kindly, and gave him a grant of land and a number of Indians to till it. The quiet life of the planter, however, little suited the restless young fellow; and after taking part in several military expeditions against insurgent natives, under the command of Diego Velasquez, he sailed in 1511, with that officer, to undertake the conquest of Cuba. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"5771\": \"Who was the leader of the expedition?\"\n },\n {\n \"5772\": \"What made him such a good leader?\"\n },\n {\n \"5773\": \"What type of gifts?\"\n },\n {\n \"5774\": \"Did he have a strong effect on others?\"\n },\n {\n \"5775\": \"Was he known for his love of learning?\"\n },\n {\n \"5776\": \"What expedition happened after Columbus's?\"\n },\n {\n \"5777\": \"Did Cortez partake in that expedition?\"\n },\n {\n \"5778\": \"What stopped him?\"\n },\n {\n \"5779\": \"Did he ever make it to Hispaniola Ovando?\"\n },\n {\n \"5780\": \"How did the governor react to him?\"\n },\n {\n \"5781\": \"Did he come from a newer family?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"5771\",\n \"answer\": \"Hernando Cortez\"\n },\n {\n \"question_id\": \"5772\",\n \"answer\": \"all the gifts requisite\"\n },\n {\n \"question_id\": \"5773\",\n \"answer\": \"great strength and skill at arms,\"\n },\n {\n \"question_id\": \"5774\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"5775\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"5776\",\n \"answer\": \"the expedition of Ovando\"\n },\n {\n \"question_id\": \"5777\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"5778\",\n \"answer\": \"he injured himself\"\n },\n {\n \"question_id\": \"5779\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"5780\",\n \"answer\": \"kindly,\"\n },\n {\n \"question_id\": \"5781\",\n \"answer\": \"no\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXV \n\nTerniloff and Dominey, one morning about six months later, lounged underneath a great elm tree at Ranelagh, having iced drinks after a round of golf. Several millions of perspiring Englishmen were at the same moment studying with dazed wonder the headlines in the midday papers. \n\n\"I suppose,\" the Ambassador remarked, as he leaned back in his chair with an air of lazy content, \"that I am being accused of fiddling while Rome burns.\" \n\n\"Every one has certainly not your confidence in the situation,\" Dominey rejoined calmly. \n\n\"There is no one else who knows quite so much,\" Terniloff reminded him. \n\nDominey sipped his drink for a moment or two in silence. \n\n\"Have you the latest news of the Russian mobilisation?\" he asked. \"They had some startling figures in the city this morning.\" \n\nThe Prince waved his hand. \n\n\"My faith is not founded on these extraneous incidents,\" he replied. \"If Russia mobilises, it is for defence. No nation in the world would dream of attacking Germany, nor has Germany the slightest intention of imperilling her coming supremacy amongst the nations by such crude methods as military enterprise. Servia must be punished, naturally, but to that, in principle, every nation in Europe is agreed. We shall not permit Austria to overstep the mark.\" \n\n\"You are at least consistent, Prince,\" Dominey remarked. \n\nTerniloff smiled. \n\n\"That is because I have been taken behind the scenes,\" he said. \"I have been shown, as is the privilege of ambassadors, the mind of our rulers. You, my friend,\" he went on, \"spent your youth amongst the military faction. You think that you are the most important people in Germany. Well, you are not. The Kaiser has willed it otherwise. By-the-by, I had yesterday a most extraordinary cable from Stephanie.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"39389\": \"What chapter are we in?\"\n },\n {\n \"39390\": \"Who is the second character introduced?\"\n },\n {\n \"39391\": \"And the first?\"\n },\n {\n \"39392\": \"Where were they?\"\n },\n {\n \"39393\": \"Under what?\"\n },\n {\n \"39394\": \"Were they standing?\"\n },\n {\n \"39395\": \"What were they doing?\"\n },\n {\n \"39396\": \"What other thing were they doing?\"\n },\n {\n \"39397\": \"What had they just got done with?\"\n },\n {\n \"39398\": \"What was the accusation made against the Ambassador?\"\n },\n {\n \"39399\": \"Did everyone share his confidence?\"\n },\n {\n \"39400\": \"Was Dominey excited?\"\n },\n {\n \"39401\": \"Who was mobilizing?\"\n },\n {\n \"39402\": \"Were the numbers surprising?\"\n },\n {\n \"39403\": \"Why did the Prince say they were mobilizing?\"\n },\n {\n \"39404\": \"Did he feel Germany would be attacked?\"\n },\n {\n \"39405\": \"Did he believe they would take military action?\"\n },\n {\n \"39406\": \"What did he say Servia deserved?\"\n },\n {\n \"39407\": \"What had he been shown?\"\n },\n {\n \"39408\": \"Who did he get a telegram from?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"39389\",\n \"answer\": \"25\"\n },\n {\n \"question_id\": \"39390\",\n \"answer\": \"Dominey\"\n },\n {\n \"question_id\": \"39391\",\n \"answer\": \"Terniloff\"\n },\n {\n \"question_id\": \"39392\",\n \"answer\": \"Ranelagh\"\n },\n {\n \"question_id\": \"39393\",\n \"answer\": \"A tree\"\n },\n {\n \"question_id\": \"39394\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"39395\",\n \"answer\": \"Sitting\"\n },\n {\n \"question_id\": \"39396\",\n \"answer\": \"having iced drinks\"\n },\n {\n \"question_id\": \"39397\",\n \"answer\": \"Playing golf.\"\n },\n {\n \"question_id\": \"39398\",\n \"answer\": \"Fiddling while Rome burns.\"\n },\n {\n \"question_id\": \"39399\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"39400\",\n \"answer\": \"He was calm.\"\n },\n {\n \"question_id\": \"39401\",\n \"answer\": \"Russia\"\n },\n {\n \"question_id\": \"39402\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"39403\",\n \"answer\": \"For defence\"\n },\n {\n \"question_id\": \"39404\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"39405\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"39406\",\n \"answer\": \"To be punished.\"\n },\n {\n \"question_id\": \"39407\",\n \"answer\": \"The mind of our rulers.\"\n },\n {\n \"question_id\": \"39408\",\n \"answer\": \"Stephanie\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Gabon, officially the Gabonese Republic (), is a sovereign state on the west coast of Central Africa. Located on the equator, Gabon is bordered by Equatorial Guinea to the northwest, Cameroon to the north, the Republic of the Congo on the east and south, and the Gulf of Guinea to the west. It has an area of nearly and its population is estimated at 1.5 million people. Its capital and largest city is Libreville. \n\nSince its independence from France in 1960, Gabon has had three presidents. In the early 1990s, Gabon introduced a multi-party system and a new democratic constitution that allowed for a more transparent electoral process and reformed many governmental institutions. Gabon was also a temporary member of the United Nations Security Council for the 2010–2011 term. \n\nAbundant petroleum and foreign private investment have helped make Gabon one of the most prosperous countries in Sub-Saharan Africa, with the 4th highest HDI and the third highest GDP per capita (PPP) (after Equatorial Guinea and Botswana) in the region. GDP grew by more than 6% per year from 2010 to 2012. However, because of inequality in income distribution, a significant proportion of the population remains poor. Gabon's name originates from \"gabão\", Portuguese for \"cloak\", which is roughly the shape of the estuary of the Komo River by Libreville.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"35039\": \"Where is Gabon?\"\n },\n {\n \"35040\": \"Where is it bordered by?\"\n },\n {\n \"35041\": \"and where else?\"\n },\n {\n \"35042\": \"What's the population?\"\n },\n {\n \"35043\": \"When did it gain independence ?\"\n },\n {\n \"35044\": \"What polictial affilation is that country\"\n },\n {\n \"35045\": \"was it ever part of the UN?\"\n },\n {\n \"35046\": \"For how long?\"\n },\n {\n \"35047\": \"Does Gabon make money on petroleum\"\n },\n {\n \"35048\": \"is it the 3rd highest GDP?\"\n },\n {\n \"35049\": \"where did the name orginated from?\"\n },\n {\n \"35050\": \"is any part of the country poor?\"\n },\n {\n \"35051\": \"why?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"35039\",\n \"answer\": \"Africa\"\n },\n {\n \"question_id\": \"35040\",\n \"answer\": \"Guinea\"\n },\n {\n \"question_id\": \"35041\",\n \"answer\": \"Cameroon\"\n },\n {\n \"question_id\": \"35042\",\n \"answer\": \"1.5 million people\"\n },\n {\n \"question_id\": \"35043\",\n \"answer\": \"1960\"\n },\n {\n \"question_id\": \"35044\",\n \"answer\": \"democrat\"\n },\n {\n \"question_id\": \"35045\",\n \"answer\": \"YES\"\n },\n {\n \"question_id\": \"35046\",\n \"answer\": \"2010\\u20132011\"\n },\n {\n \"question_id\": \"35047\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"35048\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"35049\",\n \"answer\": \"Gabon's name originates from \\\"gab\\u00e3o\\\", Portuguese for \\\"cloak\\\", which is roughly the shape of the estuary of the Komo River by Libreville.\"\n },\n {\n \"question_id\": \"35050\",\n \"answer\": \"a significant proportion of the population remains poor\"\n },\n {\n \"question_id\": \"35051\",\n \"answer\": \"inequality in income distribution\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n John Henson -- a son of the late, great children's entertainment visionary Jim Henson -- died after a \"sudden, massive heart attack,\" his family's company said. \n\nThe Jim Henson Company announced the death of the 48-year-old son of its iconic founder in a Facebook post Saturday. \n\nHe died Friday while at home with one of his two daughters, the post said. John Henson is also survived by his wife, Gyongyi, and his siblings Lisa, Cheryl, Brian and Heather. \n\nTwo other members of his family had top jobs in their father's namesake company, with Brian Henson as chairman and Lisa Henson as CEO. John Henson is listed prominently as one of five members of \"the Henson family\" on the company's website. \n\nJohn Henson served as a shareholder and board member of The Jim Henson Company. \n\nAccording to imdb.com, John Henson was active in the family business in the 1980s, 1990s and 2000s, perhaps most notably for his portrayal of Sweetums, a large, gruff-looking, lovable character on \"The Muppets.\" \n\nHis father, Jim, died suddenly in 1990, after a celebrated career in which he launched shows like \"The Muppets,\" \"Fraggle Rock\" and created beloved characters from \"Sesame Street\" such as Big Bird, Elmo, the Cookie Monster and Oscar the Grouch. \n\nLast April, John's mother, Jane Nabel Henson -- who met Jim in a puppetry class at the University of Maryland in 1954 and married him five years later -- died at the age of 79 after a \"long battle with cancer.\" \n\nJane Henson dies of cancer \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"72195\": \"Who is John Henson?\"\n },\n {\n \"72196\": \"What happened to him?\"\n },\n {\n \"72197\": \"How?\"\n },\n {\n \"72198\": \"How old?\"\n },\n {\n \"72199\": \"Who announced it?\"\n },\n {\n \"72200\": \"When?\"\n },\n {\n \"72201\": \"How did they make the announcement?\"\n },\n {\n \"72202\": \"Is his dad still alive?\"\n },\n {\n \"72203\": \"When did he die?\"\n },\n {\n \"72204\": \"What was his dad famous for?\"\n },\n {\n \"72205\": \"Which ones?\"\n },\n {\n \"72206\": \"Any others?\"\n },\n {\n \"72207\": \"Did he create Oscar the Grouch?\"\n },\n {\n \"72208\": \"Is John's mother still alive?\"\n },\n {\n \"72209\": \"How did she die?\"\n },\n {\n \"72210\": \"How did his mom and dad meet?\"\n },\n {\n \"72211\": \"when was that?\"\n },\n {\n \"72212\": \"Where?\"\n },\n {\n \"72213\": \"Was John working in the family business?\"\n },\n {\n \"72214\": \"What was he most known for?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"72195\",\n \"answer\": \"Jim Henson's son\"\n },\n {\n \"question_id\": \"72196\",\n \"answer\": \"died\"\n },\n {\n \"question_id\": \"72197\",\n \"answer\": \"heart attack\"\n },\n {\n \"question_id\": \"72198\",\n \"answer\": \"48-year-old\"\n },\n {\n \"question_id\": \"72199\",\n \"answer\": \"his family's company\"\n },\n {\n \"question_id\": \"72200\",\n \"answer\": \"Saturday\"\n },\n {\n \"question_id\": \"72201\",\n \"answer\": \"Facebook post\"\n },\n {\n \"question_id\": \"72202\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"72203\",\n \"answer\": \"1990\"\n },\n {\n \"question_id\": \"72204\",\n \"answer\": \"Created TV shows.\"\n },\n {\n \"question_id\": \"72205\",\n \"answer\": \"\\\"The Muppets,\\\" \\\"Fraggle Rock\\\"\"\n },\n {\n \"question_id\": \"72206\",\n \"answer\": \"\\\"Sesame Street\\\"\"\n },\n {\n \"question_id\": \"72207\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"72208\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"72209\",\n \"answer\": \"long battle with cancer\"\n },\n {\n \"question_id\": \"72210\",\n \"answer\": \"puppetry class\"\n },\n {\n \"question_id\": \"72211\",\n \"answer\": \"1954\"\n },\n {\n \"question_id\": \"72212\",\n \"answer\": \"University of Maryland\"\n },\n {\n \"question_id\": \"72213\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"72214\",\n \"answer\": \"Sweetums\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Woody Allen famously said that 80% of success in life is about just showing up. He's wrong. Success in life -- as in diplomacy -- is about showing up at the right time. So Is John Kerry coming to the Israeli-Hamas crisis too early, too late or just at the right time? \n\nThe secretary of state has been eager to get into the middle of this almost since it started. He considered going last weekend from Vienna, Austria, where he had joined five other world powers in negotiations with Iran on the nuclear deal. But he smartly decided -- or was discouraged by the Egyptians who were in the middle of their own cease-fire mediation -- not to go. \n\nStill, the rising number of deaths primarily on the Palestinian side and the real danger of escalation of a ground incursion left him little choice. Regardless of the outcome, after Syria and Iraq, both President Barack Obama and Kerry realized that the United States couldn't sit on the sidelines like a potted plant. \n\nKerry arrives in Israel \n\nMoreover, Kerry's hot mic comments showing his irritation at Israel's supposed \"pinpoint\" airstrikes in Gaza revealed a good deal more frustration than simply a desire to collect more frequent flier miles. Kerry is an activist and simply couldn't abide the fact that people were dying and the United States wasn't at least trying to stop it. \n\nBut desire and passion won't produce a deal. Kerry proved that in his nine-month effort to negotiate an agreed framework for peace between Israeli Prime Minister Benjamin Netanyahu and Palestinian Authority President Mahmoud Abbas. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"25104\": \"did Kerry make comments on a \\\"hot\\\" mic?\"\n },\n {\n \"25105\": \"how long was his effort to negotiate a framework for peace?\"\n },\n {\n \"25106\": \"who was he trying to broker peace between?\"\n },\n {\n \"25107\": \"who is the leader of Israel?\"\n },\n {\n \"25108\": \"and who is the leader of Palestine?\"\n },\n {\n \"25109\": \"who is the secretary of state?\"\n },\n {\n \"25110\": \"what has he been eager to do?\"\n },\n {\n \"25111\": \"who discouraged him from going?\"\n },\n {\n \"25112\": \"what famous actor is mentioned?\"\n },\n {\n \"25113\": \"how much of life does he think is just showing up?\"\n },\n {\n \"25114\": \"is the death toll rising on the palestinian side?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"25104\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"25105\",\n \"answer\": \"nine months\"\n },\n {\n \"question_id\": \"25106\",\n \"answer\": \"Israel and Hamas\"\n },\n {\n \"question_id\": \"25107\",\n \"answer\": \"Benjamin Netanyahu\"\n },\n {\n \"question_id\": \"25108\",\n \"answer\": \"Mahmoud Abbas\"\n },\n {\n \"question_id\": \"25109\",\n \"answer\": \"John kerry\"\n },\n {\n \"question_id\": \"25110\",\n \"answer\": \"work on the Israeli-Hamas crisis\"\n },\n {\n \"question_id\": \"25111\",\n \"answer\": \"the Egyptions\"\n },\n {\n \"question_id\": \"25112\",\n \"answer\": \"Woody Allen\"\n },\n {\n \"question_id\": \"25113\",\n \"answer\": \"80%\"\n },\n {\n \"question_id\": \"25114\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- At least one person was killed when a National Guard helicopter crashed in waters off San Juan, Puerto Rico, a Federal Aviation Administration spokeswoman said Tuesday, citing preliminary information. \n\n\"The preliminary information we have ... is that the wreckage of (the) Army National Guard aircraft was found in the water near San Juan,\" spokeswoman Diane Spitaliere said in an e-mail. \n\nThe aircraft was destroyed, she said. \n\nThe crash occurred late Monday, according to Lt. Cmdr. Matthew Moorlag of the U.S. Coast Guard in Miami, Florida. \n\nThe Coast Guard received the call to help late Monday night with search and rescue efforts, said Ricardo Castrodad, spokesman for the Coast Guard in San Juan. He said three crew members and three passengers -- one guard and two civilians from Puerto Rico -- were on board. \n\nThe UH 72 Lakota helicopter departed Monday night from San Juan, he said. It was one nautical mile northeast from the Puerto Rican coast. \n\nCastrodad did not provide information on casualties but said the search for survivors was ongoing. \n\nCNN's Mike Ahlers and Maria P. White contributed to this report. \n\n\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"42846\": \"What sort of crash happened?\"\n },\n {\n \"42847\": \"Who owned it?\"\n },\n {\n \"42848\": \"Where did it happen?\"\n },\n {\n \"42849\": \"Was anyone hurt?\"\n },\n {\n \"42850\": \"How badly?\"\n },\n {\n \"42851\": \"Did the vehicle get totaled?\"\n },\n {\n \"42852\": \"When did this happen?\"\n },\n {\n \"42853\": \"What date was that?\"\n },\n {\n \"42854\": \"Was there a spokesperson for the accident?\"\n },\n {\n \"42855\": \"What is their name?\"\n },\n {\n \"42856\": \"How did she communicate?\"\n },\n {\n \"42857\": \"Did another agency assist?\"\n },\n {\n \"42858\": \"Who?\"\n },\n {\n \"42859\": \"Did they have a spokesperson?\"\n },\n {\n \"42860\": \"How many from that agency helped?\"\n },\n {\n \"42861\": \"Is the effort to recover victims still going on?\"\n },\n {\n \"42862\": \"Is all this info finalized?\"\n },\n {\n \"42863\": \"What was the model of the vehicle that was totaled?\"\n },\n {\n \"42864\": \"How far away from land did they find it?\"\n },\n {\n \"42865\": \"Who reported on this?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"42846\",\n \"answer\": \"helicopter\"\n },\n {\n \"question_id\": \"42847\",\n \"answer\": \"the National Guard\"\n },\n {\n \"question_id\": \"42848\",\n \"answer\": \"San Juan, Puerto Rico\"\n },\n {\n \"question_id\": \"42849\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42850\",\n \"answer\": \"they were killed\"\n },\n {\n \"question_id\": \"42851\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42852\",\n \"answer\": \"Monday\"\n },\n {\n \"question_id\": \"42853\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"42854\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42855\",\n \"answer\": \"Diane Spitaliere\"\n },\n {\n \"question_id\": \"42856\",\n \"answer\": \"by e-mail\"\n },\n {\n \"question_id\": \"42857\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42858\",\n \"answer\": \"The Coast Guard\"\n },\n {\n \"question_id\": \"42859\",\n \"answer\": \"Ricardo Castrodad\"\n },\n {\n \"question_id\": \"42860\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"42861\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42862\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"42863\",\n \"answer\": \"The UH 72 Lakota helicopter\"\n },\n {\n \"question_id\": \"42864\",\n \"answer\": \"one nautical mile\"\n },\n {\n \"question_id\": \"42865\",\n \"answer\": \"CNN\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXX \n\nFERN Mullins rushed into the house on a Saturday morning early in September and shrieked at Carol, \"School starts next Tuesday. I've got to have one more spree before I'm arrested. Let's get up a picnic down the lake for this afternoon. Won't you come, Mrs. Kennicott, and the doctor? Cy Bogart wants to go--he's a brat but he's lively.\" \n\n\"I don't think the doctor can go,\" sedately. \"He said something about having to make a country call this afternoon. But I'd love to.\" \n\n\"That's dandy! Who can we get?\" \n\n\"Mrs. Dyer might be chaperon. She's been so nice. And maybe Dave, if he could get away from the store.\" \n\n\"How about Erik Valborg? I think he's got lots more style than these town boys. You like him all right, don't you?\" \n\nSo the picnic of Carol, Fern, Erik, Cy Bogart, and the Dyers was not only moral but inevitable. \n\nThey drove to the birch grove on the south shore of Lake Minniemashie. Dave Dyer was his most clownish self. He yelped, jigged, wore Carol's hat, dropped an ant down Fern's back, and when they went swimming (the women modestly changing in the car with the side curtains up, the men undressing behind the bushes, constantly repeating, \"Gee, hope we don't run into poison ivy\"), Dave splashed water on them and dived to clutch his wife's ankle. He infected the others. Erik gave an imitation of the Greek dancers he had seen in vaudeville, and when they sat down to picnic supper spread on a lap-robe on the grass, Cy climbed a tree to throw acorns at them. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"58396\": \"Which lake did they go to?\"\n },\n {\n \"58397\": \"Who rushed into the house?\"\n },\n {\n \"58398\": \"Why did he want to go on a final spree?\"\n },\n {\n \"58399\": \"Who ended up going a long and acted like a clown?\"\n },\n {\n \"58400\": \"Did he wear something that belonged to someone else?\"\n },\n {\n \"58401\": \"And who did he throw an insect on?\"\n },\n {\n \"58402\": \"What plant did they wish to not run in to ?\"\n },\n {\n \"58403\": \"Did anyone throw an acorn?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"58396\",\n \"answer\": \"Lake Minniemashie\"\n },\n {\n \"question_id\": \"58397\",\n \"answer\": \"FERN Mullins\"\n },\n {\n \"question_id\": \"58398\",\n \"answer\": \"To get in a spree before school starts and they're arrested\"\n },\n {\n \"question_id\": \"58399\",\n \"answer\": \"Dave Dyer\"\n },\n {\n \"question_id\": \"58400\",\n \"answer\": \"Carol's hat\"\n },\n {\n \"question_id\": \"58401\",\n \"answer\": \"Fern's\"\n },\n {\n \"question_id\": \"58402\",\n \"answer\": \"poison ivy\"\n },\n {\n \"question_id\": \"58403\",\n \"answer\": \"Yes, Cy\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n LONDON, England (CNN) -- He's the man who has just rejected offers of up to $700,000 a week in wages -- but who really is Kaka? And what has he done to deserve so much money? \n\nWanted man: Kaka overcame a spine fracture before getting to the top of world football. \n\nBorn in Brazil in 1982, Ricardo Izecson dos Santos Leite, or \"Kaka\" as he is more commonly known, is a footballer with Italian club AC Milan. \n\nHis name, Kaka, is believed to come from a brother, who began calling him that due to his inability to say his proper name -- Ricardo. \n\nSaid to be an amazing talent from a very young age, the attacking midfielder began his career with Sao Paulo at the tender age of eight, and had signed his first contract before his 16th birthday. \n\nDo you think Kaka should have stayed at AC Milan or taken the money at Manchester City? Tell us in the Sound Off box below. \n\nHowever, when all seemed set for a perfect career, Kaka suffered a serious, potentially paralyzing injury from a swimming pool accident in 2000. The then 18-year-old fractured a vertebra in his spine -- an injury that many thought could have ended his career and even prevented him from walking again. \n\nKaka did recover though, and it's something that the deeply religious Brazilian has put down to the help of God, and ever since has given some of his income to his Church. \n\nOnce recovered, he didn't waste time in getting his career restarted. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"24515\": \"who is the article about?\"\n },\n {\n \"24516\": \"what's his full name?\"\n },\n {\n \"24517\": \"where was he born?\"\n },\n {\n \"24518\": \"in what year?\"\n },\n {\n \"24519\": \"what club does he play for?\"\n },\n {\n \"24520\": \"who made his nickname?\"\n },\n {\n \"24521\": \"what position does he play?\"\n },\n {\n \"24522\": \"did he have a serious injury?\"\n },\n {\n \"24523\": \"what?\"\n },\n {\n \"24524\": \"how?\"\n },\n {\n \"24525\": \"when did this happen?\"\n },\n {\n \"24526\": \"how old was he?\"\n },\n {\n \"24527\": \"did he come back from it?\"\n },\n {\n \"24528\": \"who does he credit his recovery to?\"\n },\n {\n \"24529\": \"did he keep playing after recovering?\"\n },\n {\n \"24530\": \"who was his first team?\"\n },\n {\n \"24531\": \"how old was he?\"\n },\n {\n \"24532\": \"when did he sign his first contract?\"\n },\n {\n \"24533\": \"is he highly paid?\"\n },\n {\n \"24534\": \"how much money did he turn down?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"24515\",\n \"answer\": \"Kaka\"\n },\n {\n \"question_id\": \"24516\",\n \"answer\": \"Ricardo Izecson dos Santos Leite\"\n },\n {\n \"question_id\": \"24517\",\n \"answer\": \"Brazil\"\n },\n {\n \"question_id\": \"24518\",\n \"answer\": \"1982\"\n },\n {\n \"question_id\": \"24519\",\n \"answer\": \"AC Milan\"\n },\n {\n \"question_id\": \"24520\",\n \"answer\": \"a brother\"\n },\n {\n \"question_id\": \"24521\",\n \"answer\": \"attacking midfielder\"\n },\n {\n \"question_id\": \"24522\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"24523\",\n \"answer\": \"fractured a vertebra\"\n },\n {\n \"question_id\": \"24524\",\n \"answer\": \"swimming pool accident\"\n },\n {\n \"question_id\": \"24525\",\n \"answer\": \"in 2000\"\n },\n {\n \"question_id\": \"24526\",\n \"answer\": \"18\"\n },\n {\n \"question_id\": \"24527\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"24528\",\n \"answer\": \"God\"\n },\n {\n \"question_id\": \"24529\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"24530\",\n \"answer\": \"Sao Paulo\"\n },\n {\n \"question_id\": \"24531\",\n \"answer\": \"eight\"\n },\n {\n \"question_id\": \"24532\",\n \"answer\": \"at 15\"\n },\n {\n \"question_id\": \"24533\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"24534\",\n \"answer\": \"$700,000 a week\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XLVI - ROGER CARBURY AND HIS TWO FRIENDS \n\nRoger Carbury, having found Ruby Ruggles, and having ascertained that she was at any rate living in a respectable house with her aunt, returned to Carbury. He had given the girl his advice, and had done so in a manner that was not altogether ineffectual. He had frightened her, and had also frightened Mrs Pipkin. He had taught Mrs Pipkin to believe that the new dispensation was not yet so completely established as to clear her from all responsibility as to her niece's conduct. Having done so much, and feeling that there was no more to be done, he returned home. It was out of the question that he should take Ruby with him. In the first place she would not have gone. And then,--had she gone,--he would not have known where to bestow her. For it was now understood throughout Bungay,--and the news had spread to Beccles,--that old Farmer Ruggles had sworn that his granddaughter should never again be received at Sheep's Acre Farm. The squire on his return home heard all the news from his own housekeeper. John Crumb had been at the farm and there had been a fierce quarrel between him and the old man. The old man had called Ruby by every name that is most distasteful to a woman, and John had stormed and had sworn that he would have punched the old man's head but for his age. He wouldn't believe any harm of Ruby,--or if he did he was ready to forgive that harm. But as for the Baro-nite;--the Baro-nite had better look to himself! Old Ruggles had declared that Ruby should never have a shilling of his money;-hereupon Crumb had anathematised old Ruggles and his money too, telling him that he was an old hunx, and that he had driven the girl away by his cruelty. Roger at once sent over to Bungay for the dealer in meal, who was with him early on the following morning. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57549\": \"Who did Roger find?\"\n },\n {\n \"57550\": \"What kind of hosue was she living in\"\n },\n {\n \"57551\": \"With who?\"\n },\n {\n \"57552\": \"Where did Roger return?\"\n },\n {\n \"57553\": \"What did he give the girl?\"\n },\n {\n \"57554\": \"Did he do it ineffectually?\"\n },\n {\n \"57555\": \"Did he frighten her?\"\n },\n {\n \"57556\": \"Who else did he frighten?\"\n },\n {\n \"57557\": \"Did he teach her?\"\n },\n {\n \"57558\": \"How much did he do?\"\n },\n {\n \"57559\": \"Where did he return?\"\n },\n {\n \"57560\": \"Did he want to take Ruby?\"\n },\n {\n \"57561\": \"Who had sworn?\"\n },\n {\n \"57562\": \"Where did he not want her to be received?\"\n },\n {\n \"57563\": \"Who did the squire hear the news from\"\n },\n {\n \"57564\": \"Who had been at the farm?\"\n },\n {\n \"57565\": \"Was there a fight?\"\n },\n {\n \"57566\": \"Who did the old man call?\"\n },\n {\n \"57567\": \"Did Old Ruggles want Ruby to have his money?\"\n },\n {\n \"57568\": \"Did Roger send over to Bungay?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"57549\",\n \"answer\": \"Ruby Ruggles\"\n },\n {\n \"question_id\": \"57550\",\n \"answer\": \"a respectable one\"\n },\n {\n \"question_id\": \"57551\",\n \"answer\": \"her aunt\"\n },\n {\n \"question_id\": \"57552\",\n \"answer\": \"to Carbury\"\n },\n {\n \"question_id\": \"57553\",\n \"answer\": \"his advice\"\n },\n {\n \"question_id\": \"57554\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"57555\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"57556\",\n \"answer\": \"Mrs Pipkin\"\n },\n {\n \"question_id\": \"57557\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"57558\",\n \"answer\": \"so much\"\n },\n {\n \"question_id\": \"57559\",\n \"answer\": \"home\"\n },\n {\n \"question_id\": \"57560\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"57561\",\n \"answer\": \"old Farmer Ruggles\"\n },\n {\n \"question_id\": \"57562\",\n \"answer\": \"at Sheep's Acre Farm\"\n },\n {\n \"question_id\": \"57563\",\n \"answer\": \"from his own housekeeper\"\n },\n {\n \"question_id\": \"57564\",\n \"answer\": \"John Crumb\"\n },\n {\n \"question_id\": \"57565\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"57566\",\n \"answer\": \"Ruby\"\n },\n {\n \"question_id\": \"57567\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"57568\",\n \"answer\": \"Yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Two good friends, Sam and Jason, met with a car accident on their way home one snowy night. The next morning, Sam woke up blind. His legs were broken. The doctor, Mr Lee, was standing by his bed, looking at him worriedly. When he saw Sam awake, he asked, \"How are you feeling, Sam?\" Sam smiled and said, \"Not bad, Doctor. Thank you very much for doing the special operation .\" Mr Lee was moved by Sam. When he was leaving, Sam said, \"Please don't tell Jason about it.\" \"Well...Well...OK,\" Mr Lee replied. Months later when Jason's wounds healed , Sam was still very sick. He couldn't see or walk. He could do nothing but stay in his wheelchair all day long. At first, Jason stayed with him for a few days. But days later, Jason thought it boring to spend time with a disabled man like Sam. So he went to see Sam less and less. He made new friends. From then on, he didn't go to visit Sam any more. Sam didn't have any family or friends except Jason. He felt very sad. Things went from bad to worse. Sam died a year later. When Jason came, Mr Lee gave him a letter from Sam. In the letter Sam said, \"Dear Jason, I am disabled. But I want you to be a healthy man. So I gave my eyes to you so that you can enjoy life as a healthy man. Now you have new friends. I'm glad to see that you are as healthy and happy as usual. I'm glad you live a happy life. You are always my best friend... Sam\". When he finished reading the letter, Mr Lee said, \"I have promised that I will keep this a secret until Sam is gone. Now you know it.\" Jason stood there like a stone. Tears ran down his face.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"22835\": \"Why was Sam blind?\"\n },\n {\n \"22836\": \"Who was his friend?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"22835\",\n \"answer\": \"a car accident\"\n },\n {\n \"question_id\": \"22836\",\n \"answer\": \"Jason\"\n }\n]\n" } ]

Subsets and Splits