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mmtab-TAT-QA_46497c3e-9845-4243-ad86-c468260f3ae0
|
[
{
"role": "user",
"content": "<image>\nExamine the table image and answer the ensuing question in brief. Return the final result as JSON in the format {\"answer\": [<a list of answer strings>]}.\nHow much were the net contract assets/(liabilities), in 2019?"
},
{
"role": "assistant",
"content": "According to the table, the final answer is {\"answer\": [\"$ (690.5)\"]}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_2125
|
[
{
"role": "user",
"content": "<image>\nDetermine the relationship between the table named 'durham county cricket club' and the sentence. Whether the table upholds or contradicts the given sentence? Show your final answer in the JSON format {\"answer\": \"<YOUR ANSWER>\"}.\nsentence: 0 would not be the t20 match that has a total of 23"
},
{
"role": "assistant",
"content": "Taking into account the table information, the table contradicts the validity of the sentence. Therefore, the final answer: {\"answer\": \"contradicts\"}."
},
{
"role": "user",
"content": "Recognize the table in the presented picture and represent it in the latex-format."
},
{
"role": "assistant",
"content": "\\begin{tabular}{|c|c|c|c|c|c|c|}\n\\hline\n name of ground & location & year & fc matches & la matches & t20 matches & total \\\\\n\\hline\n riverside ground & chester - le - street & 1995 - present & 102 & 124 & 15 & 241 \\\\\n\\hline\n feethams & darlington & 1964 - 2003 & 10 & 14 & 0 & 24 \\\\\n\\hline\n grangefield road & stockton - on - tees & 1992 - 2006 & 12 & 11 & 0 & 23 \\\\\n\\hline\n the racecourse & durham city & 1992 - 1994 & 11 & 7 & 0 & 18 \\\\\n\\hline\n park drive & hartlepool & 1992 - 2000 & 8 & 9 & 0 & 17 \\\\\n\\hline\n ropery lane & chester - le - street & 1967 - 1994 & 3 & 7 & 0 & 10 \\\\\n\\hline\n eastwood gardens & gateshead fell & 1992 - 1994 & 4 & 2 & 0 & 6 \\\\\n\\hline\n green lane & durham city & 1979 & 0 & 1 & 0 & 1 \\\\\n\\hline\n\\end{tabular}"
},
{
"role": "user",
"content": "Analyze the table's content, including its title 'durham county cricket club', and determine whether the given claim is affirmed or refuted by the table information. Provide the final answer in the JSON structure, using the format {\"answer\": \"<YOUR ANSWER>\"}.\nclaim: there were no la matches that played in 1979"
},
{
"role": "assistant",
"content": "By using the table as supporting evidence, it is evident that the claim is incorrect. Consequently, the answer is {\"answer\": \"refuted\"}."
},
{
"role": "user",
"content": "According to the information in the given table regarding 'durham county cricket club', tell me whether the claim is supported or refuted by the table. Output the final answer as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}.\nthe total number of fc match played in darlington is 10"
},
{
"role": "assistant",
"content": "The evidence provided by the table indicates that the claim is valid. Hence, the answer is {\"answer\": \"supported\"}."
},
{
"role": "user",
"content": "Analyze the table picture about 'durham county cricket club' and classify whether the next sentence is supported or refuted by the table. Provide the final answer in the JSON structure, using the format {\"answer\": \"<YOUR ANSWER>\"}.\n\nfrom 1964 to 2003 , out of 24 total matches , 10 were fc matches"
},
{
"role": "assistant",
"content": "The evidence provided by the table indicates that the sentence is valid. Hence, the answer is {\"answer\": \"supported\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TSR_train_item_5602
|
[
{
"role": "user",
"content": "This is a table picture. Can you figure out the row and column numbers for this particular table? Output the final answer as JSON in the format {\"row_number\": \"m\", \"column_number\": \"n\"}.\n<image>"
},
{
"role": "assistant",
"content": "There are 11 rows and 13 columns in the table. So, the final answer is {\"row_number\": \"11\", \"column_number\": \"13\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_34275
|
[
{
"role": "user",
"content": "Give you a table image. Inspect this table to answer the subsequent problem:\nWhat is the average net property, plant and equipment?\n\nIn addition, output the final answer as JSON in the format {\"answer\": [<a list of answer strings>]}.\n<image>"
},
{
"role": "assistant",
"content": "Based on the given table:\n(26079+26408)/2 = 26243.5\nTherefore, the answer is {\"answer\": [\"26243.5\"]}."
},
{
"role": "user",
"content": "Answer the following question based on this table. Return the final result as JSON in the format {\"answer\": [<a list of answer strings>]}.\nWhat is the change in the construction in progress in 2019?"
},
{
"role": "assistant",
"content": "According to this table, we have the following calculations: 2300-1704 = 596.\nThus, the answer is {\"answer\": [\"596\"]}."
},
{
"role": "user",
"content": "How many rows and columns does this table contain? Present the final answer in a JSON format {\"row_number\": \"m\", \"column_number\": \"n\"} such as {\"row_number\": \"2\", \"column_number\": \"3\"}."
},
{
"role": "assistant",
"content": "There are 11 rows and 4 columns in the table. So, the final answer is {\"row_number\": \"11\", \"column_number\": \"4\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-RCE_train_item_3430
|
[
{
"role": "user",
"content": "Given a table image, your task is to extract the cells' values in the following rows or columns:\ncolumn 6,\nrow 12,\nrow 10,\n\nTask requirements: Represent the cells in a row or a column with the JSON format {\"row_id/column_id\":\"<row or column index>\", \"cell_list\":\"<a list of cells in this row/column>\"}. For instance, {\"row_id\":\"5\", \"cell_list\": [\"13\", \"england\", \"2023-1201\"]}.\n<image>"
},
{
"role": "assistant",
"content": "The cell values of target rows or columns are as follows:\nFor column 6: {\"column_id\": \"6\", \"cell_list\": ['Peak chart positions', 'CAN Country', '—', '—', '—', '—', '—', '—', '—', '—', '—', '—', '3', '2', '—', '8', '19', '*', '—', '—', '—', '—', '—', '\"—\" denotes releases that did not chart * denotes unknown peak positions']}\nFor row 12: {\"row_id\": \"12\", \"cell_list\": ['1986', '\"Gotta Learn to Love Without You\"', '12', '—', '—', '—', '—', '—', 'Wings']}\nFor row 10: {\"row_id\": \"10\", \"cell_list\": ['1980', '\"You Can Call Me Blue\"', '—', '86', '34', '—', '—', '37', 'You Can Call Me Blue']}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_5445
|
[
{
"role": "user",
"content": "View the excel table titled 'practice' and provide a succinct reply to the question presented. Show your answer in the JSON format {\"answer\": [<a list of answer strings>]}.\n\nwhat was james moffat's fastest lap time?\n<image>"
},
{
"role": "assistant",
"content": "Based on the table information, the final answer is {\"answer\": [\"51.8869\"]}."
},
{
"role": "user",
"content": "What are the contents of cells located in row 1 of this table? Represent the cells in a row with the JSON format {\"row_id\":\"<row index>\", \"cell_list\":\"<a list of cells in this row>\"}. For instance, {\"row_id\":\"5\", \"cell_list\": [\"152\", \"UN\", \"one last kiss\"]}."
},
{
"role": "assistant",
"content": "The cells in row 1: {\"row_id\": \"1\", \"cell_list\": ['session', 'day', 'fastest lap', '', '', '', '']}"
},
{
"role": "user",
"content": "Tell me how many rows and columns exist in the given table. Present the final answer in a JSON format {\"row_number\": \"m\", \"column_number\": \"n\"} such as {\"row_number\": \"2\", \"column_number\": \"3\"}."
},
{
"role": "assistant",
"content": "There are 5 rows and 7 columns in the table. So, the final answer is {\"row_number\": \"5\", \"column_number\": \"7\"}."
},
{
"role": "user",
"content": "In tables, merged cells are often found and we can denote them as JSON {'top-left':(x, y), 'bottom-right':(m, n)}, with '(x, y)' and '(m, n)' indicating the (row_id, column_id) of the top-left and bottom-right cells of the merged region. Please scan the table image provided, find all occurrences of merged cells, and return their coordinates in the stated format. It's important to remember that row and column IDs begin from 1."
},
{
"role": "assistant",
"content": "The merged cell regions are as follows:\n{'top-left':(1, 1), 'bottom-right':(2, 1)}\n{'top-left':(1, 2), 'bottom-right':(2, 2)}\n{'top-left':(1, 3), 'bottom-right':(1, 7)}."
},
{
"role": "user",
"content": "Your is as follows:\nExamine the table image and determine the locations of the mentioned cells. You need to express a cell's position with the JSON {'value': '<cell value>', 'location': (Row_ID, Column_ID)}, with row and column IDs both commencing from 1. Denote the location as 'DOES NOT EXIST' if a cell does not exist in the table.\nCells to locate:\nCELL VALUE 1: '51.4225'\nCELL VALUE 2: 'australia james moffat'\nCELL VALUE 3: 'garry rogers motorsport'\nCELL VALUE 4: 'career'\nCELL VALUE 5: '51.0978'\nCELL VALUE 6: 'practice 1'"
},
{
"role": "assistant",
"content": "The target cell locations are as follows:\nCELL LOCATION 1: {'value': '51.4225', 'location': (4, 7)}\nCELL LOCATION 2: {'value': 'australia james moffat', 'location': (3, 4)}\nCELL LOCATION 3: {'value': 'garry rogers motorsport', 'location': (3, 5)}\nCELL LOCATION 4: {'value': 'career', 'location': 'DOES NOT EXIST'}\nCELL LOCATION 5: {'value': '51.0978', 'location': (5, 7)}\nCELL LOCATION 6: {'value': 'practice 1', 'location': (3, 1)}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-HiTab_b473c794dc3bfd09671db3f9d6e0bb02
|
[
{
"role": "user",
"content": "Refer to the table titled 'percent distribution of adults aged 25 to 64 with an apprenticeship certificate as the highest level of educational attainment for the top 10 female fields of study, by sex, canada, 2011', and respond succinctly to the subsequent question. Present the final answer in a JSON format {\"answer\": [<a list of answer strings>]} like {\"answer\": [\"2.27\", \"41.4\"]}.\nQuestion: what was the proportion of women aged 25 to 64 in 2011 had an apprenticeship certificate in health professions and related programs?\n<image>"
},
{
"role": "assistant",
"content": "According to this excel table, the final answer is {\"answer\": [\"23.0\"]}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TAT-QA_c36e8e65-fb60-42fb-9265-dffb3b529d76
|
[
{
"role": "user",
"content": "Please consult the table and use it to respond to the question below. Present the final answer in a JSON format {\"answer\": [<a list of answer strings>]}.\nWhat was the change in Wireless Test in 2019 from 2018?\n<image>"
},
{
"role": "assistant",
"content": "Based on the given table:\n42.9-32.0 = 10.9\nTherefore, the answer is {\"answer\": [\"10.9\"]}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TCE_train_item_4598
|
[
{
"role": "user",
"content": "Based on the given table, what are the contents of the cells in the following positions in the table? Show the cell value in the JSON format {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"<Corresponding Cell Value>\"}.\nrow 1 and column 2,\nrow 14 and column 7,\nrow 12 and column 8,\nrow 11 and column 3,\nrow 19 and column 6,\n<image>"
},
{
"role": "assistant",
"content": "The extracted cell contents are listed below.\n{\"row_id\":\"1\", \"column_id\":\"2\", \"cell_value\":\"women\"}\n{\"row_id\":\"14\", \"column_id\":\"7\", \"cell_value\":\"13.8\"}\n{\"row_id\":\"12\", \"column_id\":\"8\", \"cell_value\":\"3.8\"}\n{\"row_id\":\"11\", \"column_id\":\"3\", \"cell_value\":\"2.7\"}\n{\"row_id\":\"19\", \"column_id\":\"6\", \"cell_value\":\"17.1\"}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TABMWP_31526
|
[
{
"role": "user",
"content": "Check out the table image. Provide a detail solution to this problem. Provide a concluding answer in a JSON structure, using the format {\"answer\": \"<YOUR ANSWER>\"}.\n\nProblem: How much more does a beach blanket cost than a navy blue bath mat? (Unit: $)\n\nSolution:\n<image>"
},
{
"role": "assistant",
"content": "Subtract the price of a navy blue bath mat from the price of a beach blanket.\n\n$9.84 - $7.57 = $2.27\n\nA beach blanket costs $2.27 more than a navy blue bath mat.\n\nSo, the answer is {\"answer\": \"2.27\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_24911
|
[
{
"role": "user",
"content": "According to the information in the given table regarding 'bhind (lok sabha constituency)', tell me whether the hypothesis is affirmed or contradicted by the table. Your final answer should be in the JSON structure, formatted as {\"answer\": \"<YOUR ANSWER>\"}.\n20 is the constituency number when the number of electorates (2005) is more than 157910 , and reserved for sc\n<image>"
},
{
"role": "assistant",
"content": "By using the table as supporting evidence, it is evident that the hypothesis is incorrect. Consequently, the answer is {\"answer\": \"contradicted\"}."
},
{
"role": "user",
"content": "Examine the table titled 'bhind (lok sabha constituency)' and judge whether the table affirms or conflicts with the following statement. Show your final answer in the JSON format {\"answer\": \"<YOUR ANSWER>\"}.\nwhen the number of electorates (2003) is more than 156910 and you 're only included reserved constitutents for sc , you get 22 constitutuents"
},
{
"role": "assistant",
"content": "Based on the table, the statement holds true. Thus, the final answer is {\"answer\": \"affirms\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-InfoTabs_train_13015
|
[
{
"role": "user",
"content": "Give you a table extracted from wikipedia infobox, determine whether the following sentence is 'upheld' or 'disputed' by the table. If the table does not provide enough evidence for the sentence, then output 'neutral' as the answer. Output the final answer as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}.\nMichel Sapin preceded Emmanuel Macron in office. \n<image>"
},
{
"role": "assistant",
"content": "Based on the evidence in the table, the sentence is not true. Thus, the final answer is {\"answer\": \"disputed\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_recognition_train_item_6548
|
[
{
"role": "user",
"content": "<image>\nRead the shown table in this image and give me the reconstructed table in the HTML format, presented as plain text."
},
{
"role": "assistant",
"content": "<table border=\"1\" cellspacing=\"0\">\n<tr> <td> Idaho crop prices per cwt </td> </tr>\n<tr> <td> Crop </td> <td> 2004 </td> <td> 2005 </td> </tr>\n<tr> <td> Lentils </td> <td> $14 </td> <td> $12 </td> </tr>\n<tr> <td> Peas </td> <td> $7 </td> <td> $6 </td> </tr>\n<tr> <td> Onions </td> <td> $7 </td> <td> $8 </td> </tr>\n<tr> <td> Apples </td> <td> $12 </td> <td> $18 </td> </tr>\n</table>"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TABMWP_6692
|
[
{
"role": "user",
"content": "Given the table about 'Cows per farm', solve the following math problem step by step. Finally, your final answer should be in the JSON format of {\"answer\": \"<YOUR ANSWER>\"}.\nA researcher recorded the number of cows on each farm in the county. How many farms have at least 42 cows but fewer than 99 cows? (Unit: farms)\n<image>"
},
{
"role": "assistant",
"content": "Find the row with stem 4. Count all the leaves greater than or equal to 2.\n\nCount all the leaves in the rows with stems 5, 6, 7, and 8.\n\nIn the row with stem 9, count all the leaves less than 9.\n\nYou counted 21 leaves, which are blue in the stem-and-leaf plots above. 21 farms have at least 42 cows but fewer than 99 cows.\n\nThus, the final answer is {\"answer\": \"21\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-FeTaQA_12720
|
[
{
"role": "user",
"content": "<image>\nGive your answer to the following question. Use the shown table image about 'Amber Gray' titled 'Theatre credits' as your reference.\nQuestion: What year did Gray reprise her role as Zoe in the Octoroon at Soho Rep?"
},
{
"role": "assistant",
"content": "In 2014, Gray reprised her role as Zoe in The Octoroon at Soho Rep (she had previously performed as Zoe in 2010 at P.S.122)."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_22914
|
[
{
"role": "user",
"content": "There is a cell located in row 5 and column 5 in this table, identify this cell and report its content. Format the cell value as a JSON, using the structure {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"<Corresponding Cell Value>\"}.\n<image>"
},
{
"role": "assistant",
"content": "The target cell value in row 5 and column 5 is {\"row_id\":\"5\", \"column_id\":\"5\", \"cell_value\":\"0\"}."
},
{
"role": "user",
"content": "The picture contains a table. You task is to identify any merged cells in this table, and output the scope of each merged cell using the JSON format of {'top-left':(x, y), 'bottom-right':(z, w)}. The row id and column id should start from 1."
},
{
"role": "assistant",
"content": "The merged cell regions are as follows:\n{'top-left':(1, 1), 'bottom-right':(2, 1)}\n{'top-left':(1, 2), 'bottom-right':(2, 2)}\n{'top-left':(1, 3), 'bottom-right':(2, 3)}\n{'top-left':(1, 4), 'bottom-right':(1, 5)}\n{'top-left':(1, 6), 'bottom-right':(1, 7)}\n{'top-left':(1, 8), 'bottom-right':(1, 9)}\n{'top-left':(1, 10), 'bottom-right':(1, 11)}\n{'top-left':(3, 1), 'bottom-right':(4, 1)}\n{'top-left':(3, 2), 'bottom-right':(4, 2)}\n{'top-left':(5, 1), 'bottom-right':(5, 3)}."
},
{
"role": "user",
"content": "Give you a excel table about 'club career statistics', please help me conduct the table question answering task. Provide a detail answer to the question. In the end, output your final answer using the JSON: {\"answer\": [<a list of answer strings>]}.\nQuestion: which season did mahyar zahmatkesh make his debut for malavan in the pro league?"
},
{
"role": "assistant",
"content": "Based on the given excel table:\n2014-15 = 2014-15\nTherefore, the final answer is {\"answer\": [\"2014-15\"]}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-FeTaQA_15308
|
[
{
"role": "user",
"content": "Analyze the table called 'Managerial statistics', which concerns 'Billy Elliott (footballer)'. What is your in-depth response to the upcoming query?\nWhat years did Billy Elliot serveBrann, and when did they return to Sunderland as manager?\n<image>"
},
{
"role": "assistant",
"content": "Billy Elliott served Norwegian side Brann between 1974 and 1978 and in December 1978 returned to Sunderland as manager."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-MCD_train_item_925
|
[
{
"role": "user",
"content": "The picture contains a table. You task is to identify any merged cells in this table, and output the scope of each merged cell using the JSON format of {'top-left':(R1, C1), 'bottom-right':(R2, C2)}. The row id and column id should start from 1.\n<image>"
},
{
"role": "assistant",
"content": "The merged cell regions are as follows:\n{'top-left':(1, 1), 'bottom-right':(2, 1)}\n{'top-left':(1, 2), 'bottom-right':(2, 2)}\n{'top-left':(1, 3), 'bottom-right':(1, 5)}\n{'top-left':(1, 6), 'bottom-right':(1, 7)}\n{'top-left':(1, 8), 'bottom-right':(1, 9)}\n{'top-left':(1, 10), 'bottom-right':(1, 11)}\n{'top-left':(3, 1), 'bottom-right':(7, 1)}\n{'top-left':(7, 2), 'bottom-right':(7, 3)}\n{'top-left':(8, 1), 'bottom-right':(10, 1)}\n{'top-left':(10, 2), 'bottom-right':(10, 3)}\n{'top-left':(11, 1), 'bottom-right':(11, 3)}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TABMWP_714
|
[
{
"role": "user",
"content": "<image>\nExamine the table of 'People's favorite numbers between 1 and 5' and proceed to solve the following math word problem in a stepwise manner. The final result should be presented in the JSON format of {\"answer\": \"<YOUR ANSWER>\"}.\nFor a study on numerical psychology, people were polled about which number between 1 and 5 they like most, and why. Which number was said the most times?"
},
{
"role": "assistant",
"content": "Look at the frequency column. Find the greatest frequency. The greatest frequency is 15, which is in the row for 1. 1 was said the most times.\n\nThus, the final answer is {\"answer\": \"1\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_5769
|
[
{
"role": "user",
"content": "<image>\nGiven a table as a premise, determine if it confirms or disputes the following claim. If the table information is not sufficient to give a conclusion, the claim should be considered 'not sure'. Show your final answer in the JSON format {\"answer\": \"<YOUR ANSWER>\"}.\n\nCharles Dickens moved away from his home in England before he died"
},
{
"role": "assistant",
"content": "Based on the table information, the table disputes the given claim. So, the answer is {\"answer\": \"disputes\"}."
},
{
"role": "user",
"content": "Begin with the hypothesis 'Charles Dickens wrote Oliver Twist' and analyze the table to decide whether it 'substantiates' or 'conflicts with' the above hypothesis. If only using the table information is not sufficient to give a final conclusion, label the hypothesis 'not enough evidence'. Show your final answer in the JSON format {\"answer\": \"<YOUR ANSWER>\"}."
},
{
"role": "assistant",
"content": "Based on the table information, the given hypothesis is true. Thus, the answer is {\"answer\": \"substantiates\"}."
},
{
"role": "user",
"content": "Refer to the table to decide if the following claim is affirmed, disputed by the given table, or if unclear, regard it as 'not enough information'. Present the final answer in a JSON format {\"answer\": \"<YOUR ANSWER>\"} like {\"answer\": \"entailed\"}.\nOliver Twist was written in the 19th century. "
},
{
"role": "assistant",
"content": "According to the table, the claim is affirmed by the table. Therefore, the final answer is {\"answer\": \"affirmed\"}."
},
{
"role": "user",
"content": "To complete your task, analyze the table image and identify the positions of the specified cells. Ensure that you represent a cell's location using the JSON format {'value': '<cell value>', 'location': (Row_ID, Column_ID)}, with both row and column IDs starting from 1. Should a cell be absent in the table, denote its location as 'DOES NOT EXIST'.\nTarget cells:\nCELL VALUE 1: 'Occupation';\nCELL VALUE 2: 'Writer';\nCELL VALUE 3: 'British';\nCELL VALUE 4: 'Died';\nCELL VALUE 5: 'Poets' Corner, Westminster Abbey';"
},
{
"role": "assistant",
"content": "The target cell locations are as follows:\nCELL LOCATION 1: {'value': 'Occupation', 'location': (5, 1)}\nCELL LOCATION 2: {'value': 'Writer', 'location': (5, 2)}\nCELL LOCATION 3: {'value': 'British', 'location': (6, 2)}\nCELL LOCATION 4: {'value': 'Died', 'location': (3, 1)}\nCELL LOCATION 5: {'value': 'Poets' Corner, Westminster Abbey', 'location': (4, 2)}"
},
{
"role": "user",
"content": "Retrieve the values of cells at the given table positions, indicated by row and column indices. Return each cell value as JSON in the format {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"<Corresponding Cell Value>\"}.\nPositions to check:\nthe 7th row and the 2nd column,\nthe 2nd row and the 1st column,\nthe 1st row and the 1st column,\nthe 9th row and the 1st column,"
},
{
"role": "assistant",
"content": "The target cell values are as follows:\n{\"row_id\":\"7\", \"column_id\":\"2\", \"cell_value\":\"The Pickwick Papers <br> Oliver Twist <br> Nicholas Nickleby <br> A Christmas Carol <br> David Copperfield <br> Bleak House <br> Little Dorrit <br> A Tale of Two Cities <br> Great Expectations\"}\n{\"row_id\":\"2\", \"column_id\":\"1\", \"cell_value\":\"Born\"}\n{\"row_id\":\"1\", \"column_id\":\"1\", \"cell_value\":\"Charles Dickens\"}\n{\"row_id\":\"9\", \"column_id\":\"1\", \"cell_value\":\"Children\"}"
},
{
"role": "user",
"content": "According to the provided table and the sentence 'Charles Dickens married spouse Catherine Thomson Hogarth after becoming a writer', determine the correct relation between the table and the sentence. Return the result as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}, e.g., {\"answer\": \"deputed\"}.\n(A) confirmed (the sentence is true given the table)\n(B) disputed (the sentence is false given the table)\n(C) not enough information (the sentence may or may not be true given the table)\n"
},
{
"role": "assistant",
"content": "The information in the table is not sufficient to judge whether the sentence is true or false. Therefore, the final answer: {\"answer\": \"not enough information\"}."
},
{
"role": "user",
"content": "Check this wikipedia infobox table to figure out if the hypothesis is affirmed, contradicted by the table, or if lacking enough evidence, consider it 'neutral'. Format your final answer as a JSON, using the structure {\"answer\": \"<YOUR ANSWER>\"}.\nCharles Dickens had ten children with Catherine Hogarth."
},
{
"role": "assistant",
"content": "Based on the table information, the given hypothesis is affirmed by the table. Thus, the answer is {\"answer\": \"affirmed\"}."
},
{
"role": "user",
"content": "Inspect the table to see whether the sentence is substantiated, refuted, or if evidence is insufficient, label it as 'not sure'. Provide the final answer in the JSON structure, using the format {\"answer\": \"<YOUR ANSWER>\"}.\n\nCharles Dickens was a writer who now rests in Westminster Abbey."
},
{
"role": "assistant",
"content": "Based on the table information, we can not determine whether the sentence is true or false. Thus, the answer is {\"answer\": \"not sure\"}."
},
{
"role": "user",
"content": "Charles Dickens died in a different country than the one he was born.\n Review the table as a premise and decide if it supports or conflicts with the above statement. Classify the statement as 'not enough evidence' if the table information is not enough for a final conclusion. Format your final answer as a JSON, using the structure {\"answer\": \"<YOUR ANSWER>\"}."
},
{
"role": "assistant",
"content": "According to the table image, the statement is false. So, the final answer: {\"answer\": \"conflicts with\"}."
},
{
"role": "user",
"content": "Using the given table, determine if the hypothesis is upheld or 'contradicted'. If the table does not provide sufficient information, the answer should be 'neutral'. Show your final answer in the JSON format {\"answer\": \"<YOUR ANSWER>\"}.\nCharles Dickens and Catherine Thomson Hogarth had ten children together."
},
{
"role": "assistant",
"content": "Based on the table information, we can not determine whether the hypothesis is true or false. Thus, the answer is {\"answer\": \"neutral\"}."
},
{
"role": "user",
"content": "Charles Dickens was born in England in the later part of 1812.\n Does the provided table 'confirms' or 'conflicts with' the above statement? Should we classify it as 'neutral' if there is no enough information? Format your final answer as a JSON, using the structure {\"answer\": \"<YOUR ANSWER>\"}."
},
{
"role": "assistant",
"content": "According to the table image, the statement is false. So, the final answer: {\"answer\": \"conflicts with\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_29081
|
[
{
"role": "user",
"content": "<image>\nReturn the cells' value in the subsequent table rows or columns:\nrow 10,\nrow 15,\ncolumn 1,\nrow 4,\nrow 11,\nrow 8,\n\nOutput the cell values in each row or column as JSON in the format {\"row_id/column_id\":\"<row or column index>\", \"cell_list\":\"<a list of cells in this row/column>\"}, e.g., {\"column_id\":\"3\", \"cell_list\": [\"123.89\", \"News gathering\", \"selected tools\"]}."
},
{
"role": "assistant",
"content": "The extracted row or column contents are listed below.\nFor row 10: {\"row_id\": \"10\", \"cell_list\": ['1960', '563', '', '16.8%']}\nFor row 15: {\"row_id\": \"15\", \"cell_list\": ['2010', '417', '', '−15.1%']}\nFor column 1: {\"column_id\": \"1\", \"cell_list\": ['Historical population', 'Census', '1890', '1900', '1910', '1920', '1930', '1940', '1950', '1960', '1970', '1980', '1990', '2000', '2010', 'Est. 2017', 'U.S. Decennial Census']}\nFor row 4: {\"row_id\": \"4\", \"cell_list\": ['1900', '370', '', '37.5%']}\nFor row 11: {\"row_id\": \"11\", \"cell_list\": ['1970', '533', '', '−5.3%']}\nFor row 8: {\"row_id\": \"8\", \"cell_list\": ['1940', '422', '', '0.2%']}"
},
{
"role": "user",
"content": "Generate a one-sentence summary about the highlighted table cells based on the following Wikipedia table and its metadata. \nTable title: Harrod, Ohio\nSection title: Demographics\n"
},
{
"role": "assistant",
"content": "As of the census of 2010, there were 417 people, residing in the Harrod."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-MCD_train_item_2451
|
[
{
"role": "user",
"content": "Different merged cells often exist in a table and they can be represented by the JSON {'top-left':(x, y), 'bottom-right':(m, n)}. In this JSON item, '(x, y)' and '(m, n)' are the (row_id, column_id) coordinates for the top-left and bottom-right cells in the merged region, respectively. Please examine the provided table image, identify all merged cells, and return their details using the above-mentioned format. Remember, the numbering for both rows and columns starts at 1.\n<image>"
},
{
"role": "assistant",
"content": "The merged cell areas are as follows:\n{'top-left':(1, 1), 'bottom-right':(4, 1)}\n{'top-left':(1, 2), 'bottom-right':(1, 7)}\n{'top-left':(2, 2), 'bottom-right':(2, 3)}\n{'top-left':(2, 4), 'bottom-right':(2, 5)}\n{'top-left':(2, 6), 'bottom-right':(2, 7)}\n{'top-left':(4, 2), 'bottom-right':(4, 7)}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TabFact_train_18287
|
[
{
"role": "user",
"content": "<image>\nGiven a Wikipedia table with its title, distinguish whether the following hypothesis is confirmed or disputed by the table. Format your final answer as a JSON, using the structure {\"answer\": \"<YOUR ANSWER>\"}.\ntable title:list of south african submissions for the academy award for best foreign language film\nhypothesis: 6 films were not nominated in 1980 , 1990 , 2000 , 2005 , and 2006"
},
{
"role": "assistant",
"content": "By using the table as supporting evidence, it is evident that the hypothesis is incorrect. Consequently, the answer is {\"answer\": \"disputed\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TabFact_train_9259
|
[
{
"role": "user",
"content": "<image>\nUsing the information in the table image about '2008 - 09 manchester city f.c. season', determine whether the next hypothesis is confirmed or challenged by the table. Your final answer should be in the JSON structure, formatted as {\"answer\": \"<YOUR ANSWER>\"}.\n\nthe position for player nigel de jong is mf"
},
{
"role": "assistant",
"content": "The evidence provided by the table indicates that the hypothesis is valid. Hence, the answer is {\"answer\": \"confirmed\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TabFact_train_10540
|
[
{
"role": "user",
"content": "Based on the table image about 'none' and the subsequent hypothesis, determine if the table upholds or disproves the subsequent hypothesis. Format your final answer as a JSON, using the structure {\"answer\": \"<YOUR ANSWER>\"}.\nhypothesis: according to surveyusa , obama was at 54% from may 9 - may 11 , 2008\n<image>"
},
{
"role": "assistant",
"content": "Based on the table data, we can affirm the truth of the hypothesis. Consequently, the answer is {\"answer\": \"upholds\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-RCE_train_item_4754
|
[
{
"role": "user",
"content": "Please list the cell values found in column 21 of the table. Provide the cells in a column in the JSON structure, using the format {\"column_id\":\"<column index>\", \"cell_list\":\"<a list of cells in this column>\"}.\n<image>"
},
{
"role": "assistant",
"content": "The cells in column 21: {\"column_id\": \"21\", \"cell_list\": ['', 'lost', '1', '1', '2', '1', '0', '0', '1', '1', '0', '7']}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_19026
|
[
{
"role": "user",
"content": "With the table titled 'Plants per garden' in mind, please break down and resolve the question below step by step. Format the ultimate answer as a JSON, using the structure {\"answer\": \"<YOUR ANSWER>\"}.\n\nThe members of the local garden club tallied the number of plants in each person's garden. How many gardens have exactly 25 plants? (Unit: gardens)\n<image>"
},
{
"role": "assistant",
"content": "For the number 25, the stem is 2, and the leaf is 5. Find the row where the stem is 2. In that row, count all the leaves equal to 5.\n\nYou counted 2 leaves, which are blue in the stem-and-leaf plot above. 2 gardens have exactly25 plants.\n\nThus, the final answer is {\"answer\": \"2\"}."
},
{
"role": "user",
"content": "Please determine the total count of rows and columns in the provided table, respectively. Show your final answer in the JSON format {\"row_number\": \"m\", \"column_number\": \"n\"}."
},
{
"role": "assistant",
"content": "There are 10 rows and 2 columns in the table. So, the final answer is {\"row_number\": \"10\", \"column_number\": \"2\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-WTQ_nt-1249
|
[
{
"role": "user",
"content": "Based on the table with the title '2010–11 UEFA Europa League', answer the subsequent question by following the requirements.\nQuestion:which team is previous to cska moscow on team 1\nRequirements: Omit your detailed reasoning process, merely show the final answer. Provide an answer in the JSON structure, using the format {\"answer\": [<a list of answer strings>]} such as {\"answer\": [\"1994\", \"25.34\"]}.\n<image>"
},
{
"role": "assistant",
"content": "Based on the table, the final answer is {\"answer\": ['Twente']}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_13058
|
[
{
"role": "user",
"content": "<image>\nIn this task, you are provided with a table image and several target cells. You are required to determine the positions of these cells, which can be represented in the json {'value': '<cell value>', 'location': (row number, column number)}, with both row number and column number start from 1. Some cell values may not be contained in this table. If so, represent their locations as 'DOES NOT EXIST'.\nCell values are shown below:\n1. '88 episodes';\n2. 'The Players Club';\n3. 'Year';\n4. '1999';\n5. 'Belinda/Star';\n6. 'TV, 1 episode, credited as Lisa Raye';\n7. 'Beauty Shop';"
},
{
"role": "assistant",
"content": "The target cell locations are as follows:\n1. {'value': '88 episodes', 'location': (17, 4)}\n2. {'value': 'The Players Club', 'location': (7, 2)}\n3. {'value': 'Year', 'location': (1, 1)}\n4. {'value': '1999', 'location': (8, 1)}\n5. {'value': 'Belinda/Star', 'location': (14, 3)}\n6. {'value': 'TV, 1 episode, credited as Lisa Raye', 'location': (6, 4)}\n7. {'value': 'Beauty Shop', 'location': (18, 2)}"
},
{
"role": "user",
"content": "Based on the 'Filmography' table regarding 'LisaRaye McCoy'. Answer this question: Who is known for portraying Diana Armstrong in The Players Club?"
},
{
"role": "assistant",
"content": "McCoy is known for portraying Diana \"Diamond\" Armstrong in the 1998 film The Players Club, Neesee James on All of Us from 2003 until 2007 and Keisha Greene in Single Ladies from 2011–2014."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TabFact_train_3863
|
[
{
"role": "user",
"content": "<image>\nTable title: list of townships in north dakota\nhypothesis: oakwood has a ansi code of 1036534\nPlease distinguish whether the above hypothesis is entailed or contradicted by the table information. Output the final answer as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}."
},
{
"role": "assistant",
"content": "Based on the table information, the hypothesis is true. Thus, the answer is {\"answer\": \"entailed\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-MCD_train_item_1644
|
[
{
"role": "user",
"content": "From the provided table image, locate any cells that are merged and list their areas as {'top-left':(A, B), 'bottom-right':(C, D)}, with (A, B) indicating the (row_id, column_id) of top-left cell and (C, D) the bottom-right cell. Both the row_id and column_id start from 1.\n<image>"
},
{
"role": "assistant",
"content": "The merged cell areas are as follows:\n{'top-left':(1, 1), 'bottom-right':(3, 1)}\n{'top-left':(1, 3), 'bottom-right':(1, 4)}\n{'top-left':(3, 2), 'bottom-right':(3, 4)}\n{'top-left':(4, 2), 'bottom-right':(4, 4)}\n{'top-left':(7, 2), 'bottom-right':(7, 4)}\n{'top-left':(12, 2), 'bottom-right':(12, 4)}\n{'top-left':(17, 2), 'bottom-right':(17, 4)}\n{'top-left':(22, 2), 'bottom-right':(22, 4)}\n{'top-left':(32, 2), 'bottom-right':(32, 4)}\n{'top-left':(35, 2), 'bottom-right':(35, 4)}\n{'top-left':(38, 2), 'bottom-right':(38, 4)}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TABMWP_25863
|
[
{
"role": "user",
"content": "<image>\nSolve the math problem below using the information from the table. Detail each step. Conclude your response with a final answer in the JSON format {\"answer\": \"<YOUR ANSWER>\"}.\n\nEach shelf has 5 combs. How many combs are on 4 shelves?"
},
{
"role": "assistant",
"content": "Count by fives. Use the chart: there are 20 combs on 4 shelves.\n\nThus, the final answer is {\"answer\": \"20\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TCE_train_item_5252
|
[
{
"role": "user",
"content": "Analyze the provided table and extract the contents of cells located at the specified positions, identified by row and column indices. Output each cell content as JSON in the format {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"<Corresponding Cell Value>\"}.\nPositions:\nthe 1st row and the 4th column\nthe 7th row and the 3rd column\nthe 9th row and the 4th column\nthe 11th row and the 1st column\nthe 18th row and the 1st column\n<image>"
},
{
"role": "assistant",
"content": "The target cell values are as follows:\n{\"row_id\":\"1\", \"column_id\":\"4\", \"cell_value\":\"difference\"}\n{\"row_id\":\"7\", \"column_id\":\"3\", \"cell_value\":\"0.00\"}\n{\"row_id\":\"9\", \"column_id\":\"4\", \"cell_value\":\"-0.47\"}\n{\"row_id\":\"11\", \"column_id\":\"1\", \"cell_value\":\"retail trade\"}\n{\"row_id\":\"18\", \"column_id\":\"1\", \"cell_value\":\"accommodation and food services\"}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-Rotowire_train_item_1124
|
[
{
"role": "user",
"content": "<image>\nWith the box-score and line-score data from the NBA game between Thunder and Hornets on 2016-01-20, please construct a detailed summary that reflects the game's performance and pivotal moments."
},
{
"role": "assistant",
"content": "The Oklahoma City Thunder (32-12) defeated the Charlotte Hornets (19-23) 109-95, at Chesapeake Energy Arena in Oklahoma City on Wednesday. The odds were stacked against the Hornets in this one. They had lost their last nine road games and have not won a game in Oklahoma City since the franchise moved there from Seattle. In addition to those negative stats, the Thunder came into this game having won 20 of their last 24 games and boasting a very strong home record. With this win the Thunder have won their last six, improved their home record to 21-5 and have won their last 11 against Charlotte. Oklahoma City led just about the whole way in this game. Despite mediocre shooting, Kevin Durant was the high-point man in the game, with 26 (9-20 FG, 1-5 3Pt, 7-10 FT). Durant also contributed five assists and five rebounds, in 30 minutes. Russell Westbrook continued his amazing play and came close to another triple-double. He finished with 16 points (5-14 FG, 0-3 3Pt, 6-7 FT), along with a huge 15 assists, eight rebounds and five steals, in 27 minutes. Steven Adams logged a double-double with 10 points and 10 rebounds, in 27 minutes. Despite giving up 20 turnovers, the Thunder managed to stay in control, in part by hitting 22 of 30 free throws and out-rebounding the Hornets 51-34. Charlotte got 57 points from its bench but unfortunately the starters could not match that same production. Kemba Walker led the Hornets with 21 points (8-15 FG, 2-4 3Pt, 3-3 FT), two rebounds, two assists and two steals, in 30 minutes. Jeremy Lin chipped in 16 points (6-11 FG) and two assists, in 27 minutes off the bench. Frank Kaminsky was a factor in 31 minutes off the bench, as he finished with 15 points (6-12 FG, 2-4 3Pt), six rebounds and four assists. Jeremy Lamb sat this one out, making it now four games that he has missed due to a sprained toe. Next the Hornets will host the Magic on Friday. The Hornets sit 2 games behind the Magic and 3 games out of eighth in the East. The Thunder will begin a four-game road trip with a game in Dallas on Friday."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TCR_train_item_4721
|
[
{
"role": "user",
"content": "<image>\nGiven a table, you can represent a cell's position using the JSON {'value': '<cell value>', 'location': (row index, column index)}, where row and column indices start from 1. Referring to the shown table picture, determine the locations of the specified cells using the mentioned format.\nTarget cell values:\nCELL VALUE 1: '15',\nCELL VALUE 2: '2017-18',\nCELL VALUE 3: '2014-15',\nCELL VALUE 4: '249',\nCELL VALUE 5: '68',\nCELL VALUE 6: '98',\nCELL VALUE 7: '41',\nCELL VALUE 8: 'torino',\nCELL VALUE 9: 'season',\nShould a cell be absent in the table, denote its location as 'DOES NOT EXIST'."
},
{
"role": "assistant",
"content": "The coordinates of target cells are listed below.\nCELL LOCATION 1: {'value': '15', 'location': (14, 11)}\nCELL LOCATION 2: {'value': '2017-18', 'location': (13, 2)}\nCELL LOCATION 3: {'value': '2014-15', 'location': (8, 2)}\nCELL LOCATION 4: {'value': '249', 'location': (16, 10)}\nCELL LOCATION 5: {'value': '68', 'location': (15, 11)}\nCELL LOCATION 6: {'value': '98', 'location': (16, 11)}\nCELL LOCATION 7: {'value': '41', 'location': (6, 10)}\nCELL LOCATION 8: {'value': 'torino', 'location': (11, 1)}\nCELL LOCATION 9: {'value': 'season', 'location': (1, 2)}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TabFact_train_28378
|
[
{
"role": "user",
"content": "<image>\nDetermine the relationship between the table and the claim, classify it as confirmed or opposed. Your final answer should be in the JSON structure, formatted as {\"answer\": \"<YOUR ANSWER>\"}.\nTable title: american dad! (season 3)\nclaim: caleb meurer directed fewer american dad episodes than brent woods"
},
{
"role": "assistant",
"content": "Based on the table information, the claim is true. Thus, the answer is {\"answer\": \"confirmed\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-FeTaQA_1508
|
[
{
"role": "user",
"content": "Using the 'Film' table about 'Celia Kaye', respond to: What role did Celia Kaye play in what film in 1965?\n<image>"
},
{
"role": "assistant",
"content": "In 1965, Kaye played Daphne in the film Wild Seed."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TCR_train_item_4942
|
[
{
"role": "user",
"content": "<image>\nTo fulfill your task, review the table image and pinpoint the positions of the specified cells. Make sure to represent a cell's location using the JSON format {'value': '<cell value>', 'location': (row_id, column_id)} which begin from '(1, 1)'.\nTarget cells:\n1. '1.6';\n2. '11.5';\n3. 'coach or trainer';\n\nDenote the location as 'DOES NOT EXIST' if a cell does not exist in the table."
},
{
"role": "assistant",
"content": "The coordinates of target cells are listed below.\n1. {'value': '1.6', 'location': (15, 6)}\n2. {'value': '11.5', 'location': (8, 7)}\n3. {'value': 'coach or trainer', 'location': (17, 1)}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-WikiBIO_train_item_1337
|
[
{
"role": "user",
"content": "<image>\nProduce a biography to introduce Douglas da silva according to the provided table."
},
{
"role": "assistant",
"content": "Douglas da silva (born 7 march 1984 in florianópolis) is a brazilian professional association football player who plays for joinville as a central defender."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TABMWP_28104
|
[
{
"role": "user",
"content": "<image>\nThis image shows a table of 'Tractors'. Solve the following math word problem based on the table.\n\nProblem: Some farmers compared how many tractors they own. What is the range of the numbers?\nLet's think step by step. Finally, your final answer should be in the JSON format of {\"answer\": \"<YOUR ANSWER>\"}."
},
{
"role": "assistant",
"content": "Read the numbers from the table.\n\n3, 1, 6, 1, 4, 3, 10, 7\n\nFirst, find the greatest number. The greatest number is 10.\n\nNext, find the least number. The least number is 1.\n\nSubtract the least number from the greatest number:\n\n10 − 1 = 9\n\nThe range is 9.\n\nThus, the final answer is {\"answer\": \"9\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TCE_train_item_7158
|
[
{
"role": "user",
"content": "For the cell at row 2 and column 1 in this table, provide its content. Represent the cell value in the JSON format {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"<Corresponding Cell Value>\"}. For instance, {\"row_id\":\"5\", \"column_id\":\"4\", \"cell_value\":\"missouri 4\"}.\n<image>"
},
{
"role": "assistant",
"content": "The target cell value in row 2 and column 1 is {\"row_id\":\"2\", \"column_id\":\"1\", \"cell_value\":\"Birth name\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TABMWP_21676
|
[
{
"role": "user",
"content": "<image>\nConsidering the table of 'Scooters sold', answer the question below by showing each progressive step toward the answer. In the end, output your final answer using the JSON format: {\"answer\": \"<YOUR ANSWER>\"}.\nSome scooter companies compared how many scooters they sold. Which company sold the most scooters? (A) Go-Go Scooters (B) Zippy Scooters (C) Rocket Scooters (D) Let's Jet Scooters"
},
{
"role": "assistant",
"content": "Find the greatest number in the table. Remember to compare the numbers starting with the highest place value. The greatest number is 595.\n\nNow find the corresponding company. Go-Go Scooters corresponds to 595.\n\nThus, the final answer is {\"answer\": \"Go-Go Scooters\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-ToTTo_train_item_13735
|
[
{
"role": "user",
"content": "In this task, you are given a Wikipedia table and its metadata. You are required to generate a one-sentence description of highlighted table cells. \nTable title: Speedway Grand Prix of Denmark\nSection title: Winners\n<image>"
},
{
"role": "assistant",
"content": "The Speedway Grand Prix of Denmark was first held at the Vojens Speedway Center from 1995 to 2002 before switching to the Parken Stadium in Copenhagen from 2003 to 2014."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_recognition_train_item_58942
|
[
{
"role": "user",
"content": "<image>\nPlease review this table image and return a text representation of the table in the markdown format."
},
{
"role": "assistant",
"content": "| pick | cfl team | player | position | college |\n| --- | --- | --- | --- | --- |\n| 24 | bc lions (via toronto ) | nate binder | wr | tusculum college |\n| 25 | bc lions (via toronto via edmonton via winnipeg) | akeem foster | wr | st francis xavier |\n| 26 | toronto argonauts (via bc ) | joel reinders | ot | waterloo |\n| 27 | hamilton tiger - cats (via edmonton ) | chris rwabukamba | db | duke |\n| 28 | winnipeg blue bombers (via hamilton ) | christopher smith | lb | queen 's |\n| 29 | winnipeg blue bombers (via calgary ) | anthony woodson | rb | calgary |\n| 30 | toronto argonauts (via bc via saskatchewan) | steven turner | wr | bishop 's |"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_22242
|
[
{
"role": "user",
"content": "<image>\nUse the data from the table to answer the following inquiry concisely. Return the final result as JSON in the format {\"answer\": [<a list of answer strings>]}.\nWhat was the operating profit in the Foodservice segment in 2017 and 2018, respectively?"
},
{
"role": "assistant",
"content": "Based on the table information, the answer is {\"answer\": [\"105.1\", \"121.8\"]}."
},
{
"role": "user",
"content": "I'd like to know the total number of rows and columns in the provided table. The final result should be presented in the JSON format of {\"row_number\": \"m\", \"column_number\": \"n\"}."
},
{
"role": "assistant",
"content": "This table has 7 rows and 4 columns. Thus, the final answer is {\"row_number\": \"7\", \"column_number\": \"4\"}."
},
{
"role": "user",
"content": "Based on the table image, your task is to extract the cells' values in column 2. The cells in a column should be presented in the JSON format of {\"column_id\":\"<column index>\", \"cell_list\":\"<a list of cells in this column>\"}, e.g., {\"column_id\":\"3\", \"cell_list\": [\"xxx\", \"yyy\", \"zzz\"]}."
},
{
"role": "assistant",
"content": "The cells in column 2: {\"column_id\": \"2\", \"cell_list\": ['', 'Fiscal 2018 Operating Profit', '$724.8', '479.4', '86.5', '121.8', '-']}"
},
{
"role": "user",
"content": "I'm seeking assistance in interpreting the table from this image and converting it into an HTML table presented in text."
},
{
"role": "assistant",
"content": "<table border='1' cellspacing='0'>\n<tr> <th> ($ in millions) </th> <th> </th> <th> </th> <th> </th> </tr>\n<tr> <td> Reporting Segment </td> <td> Fiscal 2018 Operating Profit </td> <td> Fiscal 2017 Operating Profit </td> <td> % Inc (Dec) </td> </tr>\n<tr> <td> Grocery & Snacks </td> <td> $724.8 </td> <td> $655.4 </td> <td> 11% </td> </tr>\n<tr> <td> Refrigerated & Frozen </td> <td> 479.4 </td> <td> 445.8 </td> <td> 8% </td> </tr>\n<tr> <td> International </td> <td> 86.5 </td> <td> (168.9) </td> <td> N/A </td> </tr>\n<tr> <td> Foodservice </td> <td> 121.8 </td> <td> 105.1 </td> <td> 16% </td> </tr>\n<tr> <td> Commercial </td> <td> - </td> <td> 202.6 </td> <td> (100)% </td> </tr>\n</table>"
},
{
"role": "user",
"content": "Please consult the table and use it to respond to the question below. The final result should be presented in the JSON format of {\"answer\": [<a list of answer strings>]} like {\"answer\": [\"emotional abuse\", \"July\"]}.\nWhat is the percentage change in total operating profit in 2018 compared to 2017?"
},
{
"role": "assistant",
"content": "Based on the given table:\n((724.8+479.4+86.5+121.8)-(655.4+445.8-168.9+105.1+202.6))/(655.4+445.8-168.9+105.1+202.6) = 13.91\nTherefore, the answer is {\"answer\": [\"13.91\"]}."
},
{
"role": "user",
"content": "Please inspect the table image and then provide an answer to the next question. Conclude your response with the final answer in the JSON format, structured as {\"answer\": [<a list of answer strings>]}.\nWhat is the total operating profit of all segments in 2018?"
},
{
"role": "assistant",
"content": "To answer the given question, we need to conduct the following computations:\n724.8+479.4+86.5+121.8 = 1412.5\nTherefore, the final answer is {\"answer\": [\"1412.5\"]}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TABMWP_31913
|
[
{
"role": "user",
"content": "<image>\nGiven the table about 'Bottles recycled', solve the following math problem step by step. Finally, your final answer should be in the JSON format of {\"answer\": \"<YOUR ANSWER>\"}.\nA recycling center kept a log of how many glass bottles were recycled in the past 4 days. How many glass bottles in total did the center recycle on Tuesday and Thursday? (Unit: glass bottles)"
},
{
"role": "assistant",
"content": "Find the numbers in the table.\n\nTuesday: 2,596\nThursday: 3,555\n\nNow add: 2,596 + 3,555 = 6,151.\n\nThe center recycled 6,151 glass bottles on Tuesday and Thursday.\n\nSo, the answer is {\"answer\": \"6,151\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TabFact_train_22339
|
[
{
"role": "user",
"content": "Determine the relationship between the table named '1999 cleveland indians season' and the statement. Whether the table confirms or refutes the given statement? The final result should be presented in the JSON format of {\"answer\": \"<YOUR ANSWER>\"}.\nstatement: in the game on september 8 , the rangers ended with no points\n<image>"
},
{
"role": "assistant",
"content": "The evidence provided by the table indicates that it confirms the statement. Hence, the answer is {\"answer\": \"confirms\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_11700
|
[
{
"role": "user",
"content": "<image>\nAnswer the question according to the table regarding 'Brenton Thwaites'.\nTable title: Television\nQuestion: Who played Luke Gallagher in Slide and Stu Henderson in the Home and Away?"
},
{
"role": "assistant",
"content": "Brenton Thwaites appeared as Luke Gallagher in Slide, in 2011, and later Stu Henderson in the Home and Away, in 2011–2012."
},
{
"role": "user",
"content": "How many rows and columns does this table contain? The final result should be presented in the JSON format of {\"row_number\": \"m\", \"column_number\": \"n\"}."
},
{
"role": "assistant",
"content": "This table has 7 rows and 4 columns. Thus, the final answer is {\"row_number\": \"7\", \"column_number\": \"4\"}."
},
{
"role": "user",
"content": "For the specified cells listed below, determine their locations in the given table. Express the cell locations as JSON {'value': '<cell value>', 'location': (Row_ID, Column_ID)}, starting from 1 for both row and column IDs. For the case where a cell is not contained in the table, its location should be denoted as 'DOES NOT EXIST'.\n1. 'Part of the studio audience',\n2. 'Home and Away',\n3. 'Episode: \"Black Flights\"',\n4. 'Leigh Scarpia',\n5. 'Title',\n6. 'Himself',\n7. '2018–present',\n8. 'Main role',"
},
{
"role": "assistant",
"content": "The target cell locations are as follows:\n1. {'value': 'Part of the studio audience', 'location': (4, 4)}\n2. {'value': 'Home and Away', 'location': (5, 2)}\n3. {'value': 'Episode: \"Black Flights\"', 'location': (2, 4)}\n4. {'value': 'Leigh Scarpia', 'location': (2, 3)}\n5. {'value': 'Title', 'location': (1, 2)}\n6. {'value': 'Himself', 'location': (4, 3)}\n7. {'value': '2018–present', 'location': (7, 1)}\n8. {'value': 'Main role', 'location': (7, 4)}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-WTQ_nt-7220
|
[
{
"role": "user",
"content": "Watch the table named 'Modest Mouse discography' to give a concise answer to the problem presented below.\n\nQuestion: what was the first single released for the epic label?\n\nRequirements: No need for reasoning process, only give the final answer. Format your final answer as a JSON, using the structure {\"answer\": [<a list of answer strings>]}.\n<image>"
},
{
"role": "assistant",
"content": "According to the table, the answer is {\"answer\": ['\"Float On\"']}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TAT-QA_49387a90-b57a-4bf7-9a77-661469b5917e
|
[
{
"role": "user",
"content": "Analyze the provided table. What is the answer to the upcoming query? Present the final answer in a JSON format {\"answer\": [<a list of answer strings>]}.\nQuestion: What was the change in maximum possible value of MSU's using grant date fair value for Paul McNab between 2017 and 2018 as a percentage?\n<image>"
},
{
"role": "assistant",
"content": "Based on the table, we need to conduct the following computations:\n(442395-373425)/373425 = 18.47\nTherefore, the final answer: {\"answer\": [\"18.47\"]}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-WTQ_nt-11982
|
[
{
"role": "user",
"content": "what was the total number of medals won by all the teams combined?\nAnswer the above question briefly based on the table image about '1987 World Taekwondo Championships'. Return the result as JSON in the format {\"answer\": [<a list of answer strings>]}.\n<image>"
},
{
"role": "assistant",
"content": "Based on the table, the final answer is {\"answer\": ['64']}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-FeTaQA_11554
|
[
{
"role": "user",
"content": "<image>\nExamine the contents of the 'Islands' table about 'Babuyan Islands' and elaborate on your answer to the question.\nWhich kilometers is highest value and largest values?"
},
{
"role": "assistant",
"content": "The largest of Babuyan Islands is Calayan with an area of 196 square kilometres (76 sq mi) and the highest peak is Babuyan Claro with 1,108 metres, 3,635 ft."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-ToTTo_train_item_5281
|
[
{
"role": "user",
"content": "Provide a sentence to summarize the highlighted cells in the shown table titled 'Taneyville, Missouri' along with its metadata.\n<image>"
},
{
"role": "assistant",
"content": "The population was 396 at the 2010 census."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-MCD_train_item_3379
|
[
{
"role": "user",
"content": "A merged cell in a table can be described using the JSON {'top-left':(R1, C1), 'bottom-right':(R2, C2)}. Here, '(R1, C1)' represents the top-left and '(R2, C2)' the bottom-right cells' (row_id, column_id) of the merged region. Using the displayed table image, identify all such merged cells in this table and report their locations in the given format. Note that the numbering of both row and column IDs starts at 1.\n<image>"
},
{
"role": "assistant",
"content": "This table does not contain any merged cells."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_recognition_train_item_99754
|
[
{
"role": "user",
"content": "<image>\nPlease read the table in this image and return an HTML-style reconstructed table in text."
},
{
"role": "assistant",
"content": "<body><h2>Marvell, Arkansas</h2><br/> <b>Section Title</b>: Demographics <br/><b>Table Section Text</b>: As of the census of 2000, there were 1,395 people, 547 households, and 358 families residing in the city. The population density was 1,024.5 people per square mile (396.0/km²). <br/> \n<table border=\"1\" cellspacing=\"0\">\n<tr> <th colspan=\"4\"> Historical population </th></tr>\n<tr> <th> Census </th> <th> Pop. </th> <th> </th> <th> %± </th></tr>\n<tr> <td> 1880 </td> <td> 177 </td> <td> </td> <td> — </td></tr>\n<tr> <td> 1900 </td> <td> 391 </td> <td> </td> <td> — </td></tr>\n<tr> <td> 1910 </td> <td> 556 </td> <td> </td> <td> 42.2% </td></tr>\n<tr> <td> 1920 </td> <td> 781 </td> <td> </td> <td> 40.5% </td></tr>\n<tr> <td> 1930 </td> <td> 624 </td> <td> </td> <td> −20.1% </td></tr>\n<tr> <td> 1940 </td> <td> 830 </td> <td> </td> <td> 33.0% </td></tr>\n<tr> <td> 1950 </td> <td> 1,121 </td> <td> </td> <td> 35.1% </td></tr>\n<tr> <td> 1960 </td> <td> 1,690 </td> <td> </td> <td> 50.8% </td></tr>\n<tr> <td> 1970 </td> <td> 1,980 </td> <td> </td> <td> 17.2% </td></tr>\n<tr> <td> 1980 </td> <td> 1,724 </td> <td> </td> <td> −12.9% </td></tr>\n<tr> <td> 1990 </td> <td> 1,545 </td> <td> </td> <td> −10.4% </td></tr>\n<tr> <td> 2000 </td> <td> 1,395 </td> <td> </td> <td> −9.7% </td></tr>\n<tr> <td> 2010 </td> <td> 1,186 </td> <td> </td> <td> −15.0% </td></tr>\n<tr> <td> Est. 2017 </td> <td> 986 </td> <td> </td> <td> −16.9% </td></tr>\n<tr> <td colspan=\"4\"> U.S. Decennial Census </td></tr>\n</table> </body>"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TABMWP_15326
|
[
{
"role": "user",
"content": "<image>\nWith the shown table image as your reference, carefully work out a detailed solution to the following question. The final result should be presented in the JSON format of {\"answer\": \"<YOUR ANSWER>\"}.\nTable title: Kilometers walked\nQuestion: Johnny kept track of how many kilometers he walked during the past 5 days. What is the mode of the numbers?"
},
{
"role": "assistant",
"content": "Read the numbers from the table.\n\n0, 2, 2, 2, 0\n\nFirst, arrange the numbers from least to greatest:\n\n0, 0, 2, 2, 2\n\nNow count how many times each number appears.\n\n0 appears 2 times.\n2 appears 3 times.\n\nThe number that appears most often is 2.\n\nThe mode is 2.\n\nSo, the answer is {\"answer\": \"2\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TSR_train_item_2508
|
[
{
"role": "user",
"content": "I'd like to know the total number of rows and columns in the provided table. Output the final answer as JSON in the format {\"row_number\": \"m\", \"column_number\": \"n\"}.\n<image>"
},
{
"role": "assistant",
"content": "There are 10 rows and 5 columns in the table. So, the final answer is {\"row_number\": \"10\", \"column_number\": \"5\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_29868
|
[
{
"role": "user",
"content": "<image>\nThis image shows a Wikipedia table extracted from a section.\nTable title: 2016 County Championship Shield\nTable section title: Final\n Using the provided table and its metadata, write a sentence to summarize the information in the highlighted table cells."
},
{
"role": "assistant",
"content": "At the finals of 2016 County Championship Shield, Hampshire finished as the champions and defeated Staffordshire by 33-11."
},
{
"role": "user",
"content": "Take a look at the table in this image and provide me with the HTML representation of the table in text format."
},
{
"role": "assistant",
"content": "\n<table border=\"1\" cellspacing=\"0\">\n<tr> <th> Hampshire </th> <th> 33 - 11 </th> <th> Staffordshire </th></tr>\n<tr> <td> </td> <td> </td> <td> </td></tr>\n</table>"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-ToTTo_train_item_8260
|
[
{
"role": "user",
"content": "Consider the table titled 'List of 30 Rock episodes', with its section title 'Season 5 (2010–11)'\nFormulate a sentence describing the highlighted cells' content.\n<image>"
},
{
"role": "assistant",
"content": "\"College\" is the eighth episode of the fifth season of the series 30 Rock and the 88th overall episode of the series."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-InfoTabs_train_14779
|
[
{
"role": "user",
"content": "Considering the following hypothesis 'Early in the Mornin' was released in 1961.' and using the table extracted from the wikipedia infobox as premise, please determine whether the table 'substantiates' or 'refutes' the above hypothesis. If the evidence in the table is not sufficient for a sound judgement, classify the hypothesis as 'not enough information'. Show your final answer in the JSON format {\"answer\": \"<YOUR ANSWER>\"}.\n<image>"
},
{
"role": "assistant",
"content": "According to the table image, the hypothesis is false. So, the final answer: {\"answer\": \"refutes\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-WikiBIO_train_item_1776
|
[
{
"role": "user",
"content": "Analyze the Wikipedia infobox for 'Rik van slycke' and synthesize a biography that captures the essence of his/her life.\n<image>"
},
{
"role": "assistant",
"content": "Rik van slycke (2 february 1963) is a former belgian cyclist. He is now a directeur sportif with the quick step cycling team."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-ToTTo_train_item_466
|
[
{
"role": "user",
"content": "<image>\nWatch the Wikipedia table image about 'Barotac Nuevo' with its encompassing metadata, and succinctly describe the highlighted cells' contents in one sentence."
},
{
"role": "assistant",
"content": "According to the 2015 census, Barotac Nuevo has a population of 54,146 people."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-HiTab_t2t_train_613
|
[
{
"role": "user",
"content": "<image>\nI have an image displaying an Excel table titled 'statistics', and I've highlighted certain cells with a unique color. Could you compose a brief description for these highlighted table cells, please?"
},
{
"role": "assistant",
"content": "terry alcock made 112 league appearances for port vale."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-InfoTabs_train_7364
|
[
{
"role": "user",
"content": "Bruce Springsteen was born just after the turn of the 20th century.\n Review the table as a premise and decide if it affirms or challenges the above statement. Classify the statement as 'not sure' if the table information is not enough for a final conclusion. Return the result as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}, e.g., {\"answer\": \"deputed\"}.\n<image>"
},
{
"role": "assistant",
"content": "Based on the table information, the given statement is false. Thus, the answer is {\"answer\": \"challenges\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TabFact_train_3127
|
[
{
"role": "user",
"content": "Based on the table image about 'none' and the subsequent statement, determine if the table upholds or contradicts the subsequent statement. Provide the final answer in the JSON structure, using the format {\"answer\": \"<YOUR ANSWER>\"}.\nstatement: escape to river cottage was released on 08 / 09 / 2003\n<image>"
},
{
"role": "assistant",
"content": "Taking into account the table information, the table upholds the validity of the statement. Therefore, the final answer: {\"answer\": \"upholds\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_recognition_train_item_30905
|
[
{
"role": "user",
"content": "<image>\nTake a look at the table in this image and provide me with the markdown representation of the table in text format."
},
{
"role": "assistant",
"content": "| Price | Quantity demanded | Quantity supplied |\n| --- | --- | --- |\n| $260 | 11,100 | 1,500 |\n| $290 | 9,100 | 6,100 |\n| $320 | 7,100 | 10,700 |\n| $350 | 5,100 | 15,300 |\n| $380 | 3,100 | 19,900 |"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-WTQ_nt-10241
|
[
{
"role": "user",
"content": "<image>\nBased on the table of 'Olivia McKoy', answer the following question briefly. Show your answer in the JSON format {\"answer\": [<a list of answer strings>]}.\nin what cities did the competitor participate in the olympics?"
},
{
"role": "assistant",
"content": "Based on the table, the final answer is {\"answer\": ['Sydney, Australia', 'Beijing, China']}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-WTQ_nt-12216
|
[
{
"role": "user",
"content": "According to this table named 'John Lewis Partnership', what year had the least net profit?\nGive me a short answer without inference process. Present the final answer in a JSON format {\"answer\": [<a list of answer strings>]} like {\"answer\": [\"144.52\", \"NBA\"]}.\n<image>"
},
{
"role": "assistant",
"content": "Based on the table, the final answer is {\"answer\": ['2001-2002']}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-Rotowire_train_item_1174
|
[
{
"role": "user",
"content": "<image>\nExamine the tables showing the statistics of an NBA basketball game played by Raptors and Cavaliers on 2015-11-25. Use the information to compose an in-depth summary of the game's events."
},
{
"role": "assistant",
"content": "The Raptors were able to hold off the Cavaliers 104-99 on Wednesday night. In a tightly contested game that was tied after the first two quarters, Toronto found themselves with a two point lead heading into the fourth. They took the lead and ran with it before Cleveland was able to regroup and make it close at the end. Coming into the night, Cleveland was on a roll, while Toronto had been struggling. The Cavaliers had won their last three games and started their season with an impressive 11-3 record. Toronto however, had lost three of their last five and six of their last ten. Their records did not matter when they took the court though, and the Raptors welcomed the challenge of defending their home court against the defending Eastern Conference Champions. To no surprise, Cleveland was led by LeBron James' team high 24 points (6-16 FG, 1-5 3PT, 11-12 FT). He also chipped in six boards and eight dimes in 40 minutes of action. Kevin Love continued his impressive play to start the year by providing a double-double with 21 points and 13 rebounds. He also notably went 5-8 from down town. J.R. Smith and Mo Williams also chipped in with double figures, each notching 15 points. Williams did his damage off the bench, as the Cavs were working his way back into form after missing the previous three games with an ankle injury. Cleveland will look to bounce back Friday in Charlotte. Kyle Lowry continued his sizzling start to the year by putting up a game high 27 points (11-17 FG, 2-6 3PT, 3-5 FT). All five starters scored in double digits for the Raptors, including DeMar DeRozean who scored 20 points on 7-16 shooting from the field. After Jonas Valanciunas broke his left hand on Nov. 20 against the Lakers, Bismack Biyombo was asked to replace him. He did not disappoint Wednesday, nearly double-doubling with nine points and 12 boards in 33 minutes. Toronto will look to carry their momentum into a matchup in Washington Saturday."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-ToTTo_train_item_8874
|
[
{
"role": "user",
"content": "<image>\nHere's a Wikipedia table under the title 'Second City derby', with a section titled 'Cup matches' \nBased on the table information, construct a one-sentence summary of the highlighted cells."
},
{
"role": "assistant",
"content": "The biggest winning margin was 6–0 to Aston Villa on 9 November 1988 in a Full Members Cup competition."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_2494
|
[
{
"role": "user",
"content": "<image>\nDetermine the relationship between the table and the claim, classify it as entailed or challenged. The final result should be presented in the JSON format of {\"answer\": \"<YOUR ANSWER>\"}.\nTable title: 1988 green bay packers season\nclaim: chuck cecil from arizona was the 173rd pick"
},
{
"role": "assistant",
"content": "According to the table, the claim is challenged by the table information. Therefore, the final answer: {\"answer\": \"challenged\"}."
},
{
"role": "user",
"content": "Reconstruct the table in the presented picture as an HTML-style table in text."
},
{
"role": "assistant",
"content": "<table border='1' cellspacing='0'>\n<tr> <th> pick </th> <th> nfl team </th> <th> player </th> <th> position </th> <th> college </th> </tr>\n<tr> <td> 7 </td> <td> green bay packers </td> <td> sterling sharpe </td> <td> wide receiver </td> <td> south carolina </td> </tr>\n<tr> <td> 34 </td> <td> green bay packers </td> <td> shawn patterson </td> <td> defensive end </td> <td> arizona state </td> </tr>\n<tr> <td> 61 </td> <td> green bay packers </td> <td> keith woodside </td> <td> running back </td> <td> texas a&m </td> </tr>\n<tr> <td> 88 </td> <td> green bay packers </td> <td> rollin putzier </td> <td> nose tackle </td> <td> oregon </td> </tr>\n<tr> <td> 89 </td> <td> green bay packers </td> <td> chuck cecil </td> <td> safety </td> <td> arizona </td> </tr>\n<tr> <td> 144 </td> <td> green bay packers </td> <td> nate hill </td> <td> defensive end </td> <td> auburn </td> </tr>\n<tr> <td> 173 </td> <td> green bay packers </td> <td> gary richard </td> <td> cornerback </td> <td> pittsburgh </td> </tr>\n<tr> <td> 200 </td> <td> green bay packers </td> <td> patrick collins </td> <td> running back </td> <td> oklahoma </td> </tr>\n<tr> <td> 228 </td> <td> green bay packers </td> <td> neal wilkinson </td> <td> tight end </td> <td> james madison </td> </tr>\n</table>"
},
{
"role": "user",
"content": "In this task, you are given a table with its title '1988 green bay packers season', your goal is to distinguish whether this table confirms or conflicts with the sentence. Your final answer should be in the JSON structure, formatted as {\"answer\": \"<YOUR ANSWER>\"}.\npatrick collins was picked by the green bay packers"
},
{
"role": "assistant",
"content": "Based on the table data, we can affirm the truth of the sentence. Consequently, the answer is {\"answer\": \"confirms\"}."
},
{
"role": "user",
"content": "Analyze this table picture about '1988 green bay packers season' and classify whether the given table confirms or disputes the sentence. Present the final answer in a JSON format {\"answer\": \"<YOUR ANSWER>\"} like {\"answer\": \"entailed\"}.\n\npatrick collins was picked by the green bay packers to play nose tackle"
},
{
"role": "assistant",
"content": "The evidence provided by the table indicates that it disputes the sentence. Hence, the answer is {\"answer\": \"disputes\"}."
},
{
"role": "user",
"content": "Examine the table with the caption '1988 green bay packers season', classify whether the provided table upholds or disputes the statement. Provide the final answer in the JSON structure, using the format {\"answer\": \"<YOUR ANSWER>\"}.\nstatement: the green bay packers picked only one wide receiver"
},
{
"role": "assistant",
"content": "Considering the information from the table, it upholds the statement. So, the answer is {\"answer\": \"upholds\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-MCD_train_item_5371
|
[
{
"role": "user",
"content": "In this table image, are there any merged cells? If so, describe their locations using the JSON format {'top-left':(x, y), 'bottom-right':(z, w)}, where (x, y) and (z, w) indicate the (row_id, column_id) of top-left and bottom-right cells in the merged regions, respectively. Note that the x, y, z, w all start from 1.\n<image>"
},
{
"role": "assistant",
"content": "The merged cell areas are as follows:\n{'top-left':(1, 1), 'bottom-right':(3, 1)}\n{'top-left':(1, 2), 'bottom-right':(1, 3)}\n{'top-left':(1, 4), 'bottom-right':(1, 5)}\n{'top-left':(1, 6), 'bottom-right':(1, 7)}\n{'top-left':(3, 2), 'bottom-right':(3, 7)}\n{'top-left':(4, 2), 'bottom-right':(4, 7)}\n{'top-left':(7, 2), 'bottom-right':(7, 7)}\n{'top-left':(12, 2), 'bottom-right':(12, 7)}\n{'top-left':(17, 2), 'bottom-right':(17, 7)}\n{'top-left':(21, 2), 'bottom-right':(21, 7)}\n{'top-left':(25, 2), 'bottom-right':(25, 7)}\n{'top-left':(29, 2), 'bottom-right':(29, 7)}\n{'top-left':(33, 2), 'bottom-right':(33, 7)}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-WikiBIO_train_item_1775
|
[
{
"role": "user",
"content": "<image>\nUsing the Wikipedia infobox table on 'Henry st john fancourt', produce a biography for this person."
},
{
"role": "assistant",
"content": "Captain henry lockhart st john fancourt, dso, rn (1 april 1900 -- 8 january 2004) was a pioneering naval aviator, and held important aviation commands with the fleet air arm during the second world war. When fancourt died at the age of 103, he was one of the last, if not the last, survivor who had actively been involved in the battle of jutland."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-WTQ_nt-801
|
[
{
"role": "user",
"content": "<image>\nBased on the table with the title 'Mangalore Central railway station', answer the subsequent question by following the requirements.\nQuestion:which train number has its destination in kannur?\nRequirements: Omit your detailed reasoning process, merely show the final answer. Your answer should be in the JSON structure, formatted as {\"answer\": [<a list of answer strings>]}. For instance, {\"answer\": [\"America\", \"20\"]}."
},
{
"role": "assistant",
"content": "According to the table, the answer is {\"answer\": ['56656']}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TCR_train_item_6483
|
[
{
"role": "user",
"content": "<image>\nGiven the table image, tell me the locations of the subsequent table cells. Represent the cell location with JSON {'value': '<cell value>', 'location': (row number, column number)} where both Row number and Column number begin from 1.\n(1) 'Spouse(s)'\n(2) 'Actor <br> Director'\n(3) 'Awards'\n(4) '1988–present'\n(5) 'Summer Phoenix ( m. 2006; div. 2017)'\n(6) 'Children'\n(7) 'Born'\n(8) 'Residence'\nIf a cell does not exist in the table, denote its location as 'DOES NOT EXIST'."
},
{
"role": "assistant",
"content": "The target cell locations are as follows:\n(1) {'value': 'Spouse(s)', 'location': (7, 1)}\n(2) {'value': 'Actor <br> Director', 'location': (5, 2)}\n(3) {'value': 'Awards', 'location': (10, 1)}\n(4) {'value': '1988–present', 'location': (6, 2)}\n(5) {'value': 'Summer Phoenix ( m. 2006; div. 2017)', 'location': (7, 2)}\n(6) {'value': 'Children', 'location': (8, 1)}\n(7) {'value': 'Born', 'location': (2, 1)}\n(8) {'value': 'Residence', 'location': (3, 1)}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-HiTab_t2t_train_2962
|
[
{
"role": "user",
"content": "<image>\nReview the Excel table labeled 'median regression of earnings by level of study and other covariates'. Generate a sentence to describe the highlighted cells, taking into account the listed aggregation operators.\nOperators to use: ['pair-argmax']"
},
{
"role": "assistant",
"content": "the relative premiums associated with a college diploma and a university bachelor's degree are higher for youth from lower-income families than for youth from higher-income families."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_3382
|
[
{
"role": "user",
"content": "row 5 and column 1\nExtract the content of cell in the above position, identified by row and column indices. Return the cell value as JSON in the format {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"<Corresponding Cell Value>\"}.\n<image>"
},
{
"role": "assistant",
"content": "The target cell value in row 5 and column 1 is {\"row_id\":\"5\", \"column_id\":\"1\", \"cell_value\":\"pomelos\"}."
},
{
"role": "user",
"content": "Solve this math word problem based on the given table image. The final result should be presented in the JSON format of {\"answer\": \"<YOUR ANSWER>\"}.\nLuke bought 1+9/10 pounds of navel oranges. How much did he spend? (Unit: $)"
},
{
"role": "assistant",
"content": "Find the cost of the navel oranges. Multiply the price per pound by the number of pounds.\n$5 × 1\\frac{9}{10} = $5 × 1.9 = $9.50\nHe spent $9.50.\n\nThus, the final answer is {\"answer\": \"9.50\"}."
},
{
"role": "user",
"content": "Please review this table image and return a text representation of the table in HTML format."
},
{
"role": "assistant",
"content": "<table border=\"1\" cellspacing=\"0\">\n<tr> <td> Persian oranges </td> <td> $3 per pound </td> </tr>\n<tr> <td> navel oranges </td> <td> $5 per pound </td> </tr>\n<tr> <td> Valencia oranges </td> <td> $2 per pound </td> </tr>\n<tr> <td> blood oranges </td> <td> $2 per pound </td> </tr>\n<tr> <td> pomelos </td> <td> $2 per pound </td> </tr>\n<tr> <td> tangerines </td> <td> $1 per pound </td> </tr>\n</table>"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TABMWP_10467
|
[
{
"role": "user",
"content": "Considering the table of 'Cookies baked', answer the question below by showing each progressive step toward the answer. Output the final answer as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}.\nGrayson baked cookies each day for a bake sale. What is the mean of the numbers?\n<image>"
},
{
"role": "assistant",
"content": "Read the numbers from the table.\n\n36, 48, 40, 34, 27\n\nFirst, count how many numbers are in the group.\n\nThere are 5 numbers.\n\nNow add all the numbers together:\n\n36 + 48 + 40 + 34 + 27 = 185\n\nNow divide the sum by the number of numbers:\n\n185 ÷ 5 = 37\n\nThe mean is 37.\n\nThus, the final answer is {\"answer\": \"37\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TabFact_train_2074
|
[
{
"role": "user",
"content": "This is a table named '2003 u.s. bank cleveland grand prix', please determine whether the given statement is substantiated or refuted by the table information. Show your final answer in the JSON format {\"answer\": \"<YOUR ANSWER>\"}.\nthe qual 1 was 1:00.003 and qual 2 was for 59.822 tiago monteiro\n<image>"
},
{
"role": "assistant",
"content": "Taking into account the table information, we can confirm the validity of the statement. Hence, the answer is {\"answer\": \"substantiated\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TCE_train_item_7062
|
[
{
"role": "user",
"content": "<image>\nRetrieve the values of cells at the given table positions, indicated by row and column indices. Provide the value of all target cells in the JSON structure, using the format {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"<Corresponding Cell Value>\"}.\nPositions to check:\nrow 7 and column 1\nrow 3 and column 2"
},
{
"role": "assistant",
"content": "The target cell values are as follows:\n{\"row_id\":\"7\", \"column_id\":\"1\", \"cell_value\":\"Label\"}\n{\"row_id\":\"3\", \"column_id\":\"2\", \"cell_value\":\"June 1981 – March 1982\"}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-HiTab_8ecc895dbf4fdf14293b137a5ea219d1
|
[
{
"role": "user",
"content": "<image>\nBased on the excel table, answer the following question in brief. Present the final answer in a JSON format {\"answer\": [<a list of answer strings>]} like {\"answer\": [\"2.27\", \"41.4\"]}.\nTable title: average after-tax household income for women and men aged 15 or older, by disability status, living arrangement, and age group, canada, 2010\nQuestion: which kind of women aged 15 or older who lived alone reported significantly less household income on average, women without disabilities or women without disabilities?"
},
{
"role": "assistant",
"content": "According to this excel table, the final answer is {\"answer\": [\"with disabilities\"]}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_26644
|
[
{
"role": "user",
"content": "Analyze the table's content, including its title 'igor andreev', and determine whether the table confirms or disproves the given claim. Present the final answer in a JSON format {\"answer\": \"<YOUR ANSWER>\"} like {\"answer\": \"entailed\"}.\nclaim: there was an a for the french open , wimbledon , and us open in 2010\n<image>"
},
{
"role": "assistant",
"content": "The evidence provided by the table indicates that it confirms the claim. Hence, the answer is {\"answer\": \"confirms\"}."
},
{
"role": "user",
"content": "Analyze the table picture about 'igor andreev' and classify whether the next sentence is supported or opposed by the table. Show your final answer in the JSON format {\"answer\": \"<YOUR ANSWER>\"}.\n\nthere was an a for the australian open , french open , and wimbledon in 2008"
},
{
"role": "assistant",
"content": "The evidence provided by the table indicates that the sentence is valid. Hence, the answer is {\"answer\": \"supported\"}."
},
{
"role": "user",
"content": "Examine whether the table affirms or refutes the subsequent statement. Present the final answer in a JSON format {\"answer\": \"<YOUR ANSWER>\"} like {\"answer\": \"entailed\"}.\ntable title: 'igor andreev'\nstatement: there was a 1r for both the australian open and the us open in 2005"
},
{
"role": "assistant",
"content": "Taking into account the table information, the table refutes the validity of the statement. Therefore, the final answer: {\"answer\": \"refutes\"}."
},
{
"role": "user",
"content": "In this task, you are given a table with its title 'igor andreev', your goal is to distinguish whether this table entails or disproves the sentence. Output the final answer as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}.\nthere was a 2r for the australian open , french open , and wimbledon in 2007"
},
{
"role": "assistant",
"content": "Based on the table, the sentence can not hold true. Thus, the final answer is {\"answer\": \"disproves\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_33559
|
[
{
"role": "user",
"content": "<image>\nYour task is as follows:\nIn this table image, locate all merged cells and detail their regions using the JSON {'top-left':(A, B), 'bottom-right':(C, D)}. Here, '(A, B)' and '(C, D)' denote the coordinates (row_id, column_id) of the top-left and bottom-right cells of the merged regions, respectively. Keep in mind that row and column IDs start from 1."
},
{
"role": "assistant",
"content": "The merged cell regions are as follows:\n{'top-left':(1, 1), 'bottom-right':(3, 1)}\n{'top-left':(1, 2), 'bottom-right':(1, 4)}\n{'top-left':(1, 5), 'bottom-right':(1, 7)}\n{'top-left':(2, 2), 'bottom-right':(3, 2)}\n{'top-left':(2, 3), 'bottom-right':(2, 4)}\n{'top-left':(2, 5), 'bottom-right':(3, 5)}\n{'top-left':(2, 6), 'bottom-right':(2, 7)}\n{'top-left':(8, 2), 'bottom-right':(8, 7)}\n{'top-left':(9, 2), 'bottom-right':(9, 7)}\n{'top-left':(14, 2), 'bottom-right':(14, 7)}\n{'top-left':(20, 2), 'bottom-right':(20, 7)}\n{'top-left':(23, 2), 'bottom-right':(23, 7)}\n{'top-left':(29, 2), 'bottom-right':(29, 7)}\n{'top-left':(34, 2), 'bottom-right':(34, 7)}."
},
{
"role": "user",
"content": "This image shows a table with the title 'percentage distribution of selected characteristics, by sex, aged 20 to 65 in cchs-imdb 2007 to 2014, canadian-born and immigrants'. Some table cells are highlighted with a different color. Please generate a one-sentence description for these highlighted cells using following aggregation operators.\nOperators: ['pair-argmax']"
},
{
"role": "assistant",
"content": "more male but fewer female immigrants were employed."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TABMWP_16612
|
[
{
"role": "user",
"content": "Problem: \nPorter wants to buy 4+1/10 kilograms of crab meat. How much will he spend? (Unit: $)\n\nAnswer the above problem related to the table. Present the final answer in a JSON format, outlined as {\"answer\": \"<YOUR ANSWER>\"}.\nSolution:\n<image>"
},
{
"role": "assistant",
"content": "Find the cost of the crab meat. Multiply the price per kilogram by the number of kilograms.\n$2 × 4\\frac{1}{10} = $2 × 4.1 = $8.20\nHe will spend $8.20.\n\nThus, the final answer is {\"answer\": \"8.20\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TabFact_train_7093
|
[
{
"role": "user",
"content": "According to the information in the given table regarding 'one tree hill (season 4)', tell me whether the hypothesis is supported or challenged by the table. The final result should be presented in the JSON format of {\"answer\": \"<YOUR ANSWER>\"}.\n2.06 millions of us viewers watched the show with a production code of 3t5769\n<image>"
},
{
"role": "assistant",
"content": "Based on the table information, the hypothesis is true. Thus, the answer is {\"answer\": \"supported\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-HiTab_t2t_train_1816
|
[
{
"role": "user",
"content": "<image>\nPlease provide a sentence that conveys the information of the highlighted cells within the Excel table named 'job vacancies, unemployed population and number of unemployed persons for each job vacancy, by province, 2015 and 2016'."
},
{
"role": "assistant",
"content": "there are 3.1 unemployed persons per job vacancy in ontario."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_4892
|
[
{
"role": "user",
"content": "<image>\nConsiderding the provided table image, extract the cells' values in the following postions:\nrow 17 and column 2\nrow 6 and column 1\nrow 13 and column 1\nrow 5 and column 1\n\nReturn each cell value as JSON in the format {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"<Corresponding Cell Value>\"}."
},
{
"role": "assistant",
"content": "The target cell values are as follows:\n{\"row_id\":\"17\", \"column_id\":\"2\", \"cell_value\":\"82 1\"}\n{\"row_id\":\"6\", \"column_id\":\"1\", \"cell_value\":\"height\"}\n{\"row_id\":\"13\", \"column_id\":\"1\", \"cell_value\":\"caps\"}\n{\"row_id\":\"5\", \"column_id\":\"1\", \"cell_value\":\"fullname\"}"
},
{
"role": "user",
"content": "Provided with a table regarding Rachel brown, generate a paragraph of text to introduce this person."
},
{
"role": "assistant",
"content": "Rachel laura brown (born 2 july 1980) is an english former football goalkeeper who played for liverpool ladies from 1995 to 1998 and everton ladies from 2003 until 2014. A product of the american college system, brown spent five years playing varsity soccer for alabama crimson tide and pittsburgh panthers. She also spent the 2003 season on loan in the icelandic Úrvalsdeild, playing for Íbv. Since making her debut for the england women 's national football team in 1997, brown won over 80 caps. She understudied pauline cope in her first years with the national team, then served as england 's first choice goalkeeper at the 2007 fifa women 's world cup and uefa women 's euro 2009. Due to injuries, brown was displaced in the team by karen bardsley for the 2011 fifa women 's world cup. She was also selected in the great britain squad for the 2012 london olympics. Brown was the goalkeeper on channel five 's `` superstars '' and is employed by everton fc 's community project. Outside of football, she is known as rachel brown-finnis, due to her marriage to professional golfer ian finnis."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TCE_train_item_652
|
[
{
"role": "user",
"content": "Analyze the provided table and extract the contents of cells located at the specified positions, identified by row and column indices. The value of every target cell should be presented in the JSON format of {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"<Corresponding Cell Value>\"}, e.g., {\"row_id\":\"10\", \"column_id\":\"3\", \"cell_value\":\"District\"}.\nPositions:\nrow 3 and column 2,\nrow 6 and column 1,\n<image>"
},
{
"role": "assistant",
"content": "The extracted cell contents are listed below.\n{\"row_id\":\"3\", \"column_id\":\"2\", \"cell_value\":\"17\"}\n{\"row_id\":\"6\", \"column_id\":\"1\", \"cell_value\":\"2009\"}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-MCD_train_item_1207
|
[
{
"role": "user",
"content": "<image>\nThe task is as follows:\nAnalyze the table in this image to find every merged cell. Return the regions of these merged cells in the JSON {'top-left':(x, y), 'bottom-right':(m, n)}, where '(x, y)' and '(m, n)' show the (row_id, column_id) of the top-left and bottom-right cells in these regions, respectively. The row and column IDs start from 1."
},
{
"role": "assistant",
"content": "The merged cell areas are as follows:\n{'top-left':(1, 1), 'bottom-right':(2, 1)}\n{'top-left':(1, 2), 'bottom-right':(2, 2)}\n{'top-left':(1, 3), 'bottom-right':(1, 4)}\n{'top-left':(1, 5), 'bottom-right':(2, 5)}\n{'top-left':(1, 6), 'bottom-right':(1, 7)}\n{'top-left':(3, 1), 'bottom-right':(3, 7)}\n{'top-left':(6, 1), 'bottom-right':(6, 7)}\n{'top-left':(9, 1), 'bottom-right':(9, 7)}\n{'top-left':(12, 1), 'bottom-right':(12, 7)}\n{'top-left':(15, 1), 'bottom-right':(15, 7)}\n{'top-left':(18, 1), 'bottom-right':(18, 7)}\n{'top-left':(22, 1), 'bottom-right':(22, 7)}\n{'top-left':(25, 1), 'bottom-right':(25, 7)}\n{'top-left':(28, 1), 'bottom-right':(28, 7)}\n{'top-left':(31, 1), 'bottom-right':(31, 7)}\n{'top-left':(34, 1), 'bottom-right':(34, 7)}\n{'top-left':(37, 1), 'bottom-right':(37, 7)}\n{'top-left':(40, 1), 'bottom-right':(40, 7)}\n{'top-left':(44, 1), 'bottom-right':(44, 7)}\n{'top-left':(47, 1), 'bottom-right':(47, 7)}\n{'top-left':(50, 1), 'bottom-right':(50, 7)}\n{'top-left':(53, 1), 'bottom-right':(53, 7)}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_23121
|
[
{
"role": "user",
"content": "<image>\nBased on this table of 'Weight of winning dog at a dog show', answer the following question. Give detailed solution consisting of each step. Format the ultimate answer as a JSON, using the structure {\"answer\": \"<YOUR ANSWER>\"}.\nA dog show enthusiast recorded the weight of the winning dog at recent dog shows. According to the table, what was the rate of change between 2013 and 2014? (Unit: kilograms per year)"
},
{
"role": "assistant",
"content": "Plug the numbers into the formula for rate of change and simplify.\nRate of change\n = \\frac{change in value}{change in time}\n = \\frac{34 kilograms - 11 kilograms}{2014 - 2013}\n = \\frac{34 kilograms - 11 kilograms}{1 year}\n = \\frac{23 kilograms}{1 year}\n = 23 kilograms per year\nThe rate of change between 2013 and 2014 was 23 kilograms per year.\n\nTherefore, the final answer is {\"answer\": \"23\"}."
},
{
"role": "user",
"content": "How many rows and columns does this table contain? The JSON format {\"row_number\": \"m\", \"column_number\": \"n\"} should be utilized to display the ultimate result."
},
{
"role": "assistant",
"content": "There are 7 rows and 2 columns in the table. So, the final answer is {\"row_number\": \"7\", \"column_number\": \"2\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-Rotowire_train_item_2565
|
[
{
"role": "user",
"content": "<image>\nThis picture contains data records of an NBA game between Pacers and Wizards. The game date is 2014-11-08. Based on the given data, generate a comprehensive summary for this game."
},
{
"role": "assistant",
"content": "The Wizards (5-2) rebounds from a loss to Toronto on Friday, knocking off the Pacers (1-6) for the second time in four nights. Washington, which won in Indianapolis on Wednesday night, jumped out to a big first quarter lead en route to the 97-90 victory. The Wizards led 32-14 after one and held a 19-point lead at the half. The Pacers would come storming back, however, trimming the lead to single digits by the end of the third. Washington led by just five with 21 seconds to play, but Paul Pierce was able to knock down four straight free throws to salt the game away. John Wall led the way for Washington, scoring a team-high 18 points to go with four assists and four steals. Nene added 17 points, while Kevin Seraphin chipped in 13 off the bench. It was a rough night for Pierce, who connected on only 2-of-13 field goals (8-10 FT). As a team, Washington went 2-of-11 from beyond the arc, compared to Indiana’s 8-of-24. The Pacers, losers of six straight since topping Philadelphia on opening night, got 28 points from second-year swingman Solomon Hill. The Arizona product made 10-of-19 field goals and added six rebounds in 43 minutes. Donald Sloan, who scored 31 points in Wednesday’s meeting, was limited to 13 points and four rebounds. Chris Copeland struggled to find his shooting stroke, converting only 1-of-10 attempts from three-point range. Looking ahead, the Wizards are off until Wednesday, when they host the Pistons. Indiana faces the Jazz at home Monday before traveling to Miami to take on the Heat on Wednesday."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_4908
|
[
{
"role": "user",
"content": "<image>\nLook at the table in the image and show any merged cells, specifying their locations with the JSON format of {'top-left':(X, Y), 'bottom-right':(Z, W)}, where X, Y, Z and W are indices (starting from 1) of the first row, the first column, the last row and the last column, respectively."
},
{
"role": "assistant",
"content": "This table does not contain any merged cells."
},
{
"role": "user",
"content": "Given a table containing data statistics of an NBA basketball game between Spurs and Grizzlies on 2014-12-17, generate a summary for this game according to the given table."
},
{
"role": "assistant",
"content": "The Memphis Grizzlies (21-4) grabbed an impressive road victory 117-116 in triple-overtime against the San Antonio Spurs (17-9) on Wednesday. Memphis battled through three overtimes on the road without defensive stopper Tony Allen (eye). It was a great team effort, as six players scored in double figures, including Vince Carter, who scored 18 points in 41 minutes off the bench, and Kosta Koufos, who posted 16 points and seven rebounds off the bench. Marc Gasol, Zach Randolph and Mike Conley led the charge. Gasol posted 26 points with nine rebounds and hit a game-tying three-pointer as time expired at the end of regulation. Randolph had an incredible double-double of 21 points and 21 reobounds, while Conley fell just short of a triple-double with 14 points, 10 assists and eight rebounds. The Grizzlies wo n't get much rest, as they 'll take on the Chicago Bulls on Friday. The Spurs were without both Kawhi Leonard (hand) and Tony Parker (hamstring) on Wednesday. They asked for big minutes out of the likes of Danny Green (52 minutes), Tim Duncan (48 minutes), Marco Belinelli (43 minutes), Manu Ginobili (41 minutes), Boris Diaw (39 minutes) and Cory Joseph (38 minutes). Green led the team in scoring with 25 points (9-17 FG, 7-13 3Pt) to go with seven rebounds, five blocks, three assists and two steals. Duncan and Diaw both posted impressive double-doubles, as Duncan scored 23 points (9-22 FG, 5-15 FT) with 16 rebounds, and Diaw had 17 points (5-15 FG, 3-6 3Pt, 4-4 Ft) with 13 rebounds. Ginobili found himself just short of a triple-double, scoring 21 points (7-20 FG, 4-9 3Pt, 3-7 FT), with eight assists and eight rebounds. The Spurs struggled from the free-throw line, hitting just 48 percent of their shots there."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-WTQ_ns-1694
|
[
{
"role": "user",
"content": "Refer to the image of the table about 'List of The Inspector cartoons' and respond succinctly to the subsequent question. Show your answer in the JSON format {\"answer\": [<a list of answer strings>]}.\nQuestion: how many times is the inspector kidnapped in the 1967 season?\n<image>"
},
{
"role": "assistant",
"content": "Based on the table, the final answer is {\"answer\": ['2']}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-HiTab_0e31a51f4799a82b576b0c6466045226
|
[
{
"role": "user",
"content": "This image shows an excel table about 'proportion of non-smokers exposed to second-hand smoke daily or almost daily, population aged 12 to 17, by sex, canada, 2011/2012 and 2013/2014', answer the following question in brief. Output the answer as JSON in the format {\"answer\": [<a list of answer strings>]} such as {\"answer\": [\"14.31\", \"55.98\", \"April\"]}.\nwhat is the percentage of boys would report daily or near-daily exposure to smoke in public places in 2011/2012?\n<image>"
},
{
"role": "assistant",
"content": "Based on the table information, the final answer is {\"answer\": [\"21.4\"]}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TCR_train_item_169
|
[
{
"role": "user",
"content": "<image>\nFor the specified cells listed below, determine their locations in the given table. Express the cell locations as JSON {'value': '<cell value>', 'location': (Row_ID, Column_ID)}, starting from 1 for both row and column IDs. Represent the location as 'DOES NOT EXIST' if a cell is not present in the table.\nCELL VALUE 1: '1720'\nCELL VALUE 2: '1192'\nCELL VALUE 3: '$14'\nCELL VALUE 4: '$18'"
},
{
"role": "assistant",
"content": "The target cell locations are as follows:\nCELL LOCATION 1: {'value': '1720', 'location': 'DOES NOT EXIST'}\nCELL LOCATION 2: {'value': '1192', 'location': 'DOES NOT EXIST'}\nCELL LOCATION 3: {'value': '$14', 'location': (3, 3)}\nCELL LOCATION 4: {'value': '$18', 'location': (3, 2)}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-InfoTabs_train_13678
|
[
{
"role": "user",
"content": "<image>\nGiven a table as a premise, determine if it affirms or contradicts the following sentence. If the table information is not sufficient to give a conclusion, the sentence should be considered 'not enough information'. Format your final answer as a JSON, using the structure {\"answer\": \"<YOUR ANSWER>\"}.\n\nHalestorm has been on multiple labels over the years."
},
{
"role": "assistant",
"content": "According to the table image, the sentence is false. So, the final answer: {\"answer\": \"contradicts\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TABMWP_19707
|
[
{
"role": "user",
"content": "<image>\nBased on the table picture with the title 'Ducks in local lakes', unfold the steps to solve the problem given next. Conclude your response with the final answer in the JSON format, structured as {\"answer\": \"<YOUR ANSWER>\"}.\nProblem: An ecologist interested in the nesting patterns of birds counted the number of ducks at local lakes. How many more mallard ducks live in Crescent Lake than Meadow Lake? (Unit: mallard ducks)"
},
{
"role": "assistant",
"content": "Find the Mallard ducks column. Find the numbers in this column for Crescent Lake and Meadow Lake.\n\nCrescent Lake: 20\nMeadow Lake: 7\n\nNow subtract:\n\n20 − 7 = 13\n\n13 more mallard ducks live in Crescent Lake than Meadow Lake.\n\nSo, the answer is {\"answer\": \"13\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TCE_train_item_6611
|
[
{
"role": "user",
"content": "<image>\nWhat are the cells' value in the following positions in the table? Return each cell value as JSON in the format {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"<Corresponding Cell Value>\"}.\nthe 5th row and the 2nd column,\nthe 6th row and the 1st column,\nthe 8th row and the 3rd column,\nthe 7th row and the 2nd column,\nthe 2nd row and the 5th column,\nthe 11th row and the 5th column,\nthe 17th row and the 3rd column,\nthe 5th row and the 1st column,"
},
{
"role": "assistant",
"content": "The extracted cell contents are listed below.\n{\"row_id\":\"5\", \"column_id\":\"2\", \"cell_value\":\"september 23 , 1984\"}\n{\"row_id\":\"6\", \"column_id\":\"1\", \"cell_value\":\"5\"}\n{\"row_id\":\"8\", \"column_id\":\"3\", \"cell_value\":\"dallas cowboys\"}\n{\"row_id\":\"7\", \"column_id\":\"2\", \"cell_value\":\"october 7 , 1984\"}\n{\"row_id\":\"2\", \"column_id\":\"5\", \"cell_value\":\"52683\"}\n{\"row_id\":\"11\", \"column_id\":\"5\", \"cell_value\":\"51301\"}\n{\"row_id\":\"17\", \"column_id\":\"3\", \"cell_value\":\"st louis cardinals\"}\n{\"row_id\":\"5\", \"column_id\":\"1\", \"cell_value\":\"4\"}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-HiTab_227c9346228b91fd88ae0b556266d02a
|
[
{
"role": "user",
"content": "Based on the excel table, answer the following question in brief. Output the answer as JSON in the format {\"answer\": [<a list of answer strings>]} such as {\"answer\": [\"14.31\", \"55.98\", \"April\"]}.\nTable title: annual rates of growth in u.s. r&d expenditures, total and by performing sectors, 1993-2013\nQuestion: how many percent did inflation-adjusted growth in u.s. gross domestic product (gdp) average annually over the 5-year period 2012-13?\n<image>"
},
{
"role": "assistant",
"content": "Based on the table information, the final answer is {\"answer\": [\"2.2\"]}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_16484
|
[
{
"role": "user",
"content": "Give you a table picture about 'richard gasquet', determine whether the following hypothesis is substantiated or challenged by the table's content. Format your final answer as a JSON, using the structure {\"answer\": \"<YOUR ANSWER>\"}.\n\nroger federer has been a runner - up on both clay and hard courts\n<image>"
},
{
"role": "assistant",
"content": "Taking into account the table information, we can confirm the validity of the hypothesis. Hence, the answer is {\"answer\": \"substantiated\"}."
},
{
"role": "user",
"content": "I'm seeking assistance in interpreting the table from this image and converting it into an HTML table presented in text."
},
{
"role": "assistant",
"content": "<table border='1' cellspacing='0'>\n<tr> <th> outcome </th> <th> date </th> <th> championship </th> <th> surface </th> <th> opponent </th> <th> score </th> </tr>\n<tr> <td> runner - up </td> <td> 11 october 2004 </td> <td> open de moselle , metz , france </td> <td> hard (i) </td> <td> jérôme haehnel </td> <td> 6 - 7 (9 - 11) , 4 - 6 </td> </tr>\n<tr> <td> runner - up </td> <td> 9 may 2005 </td> <td> international german open , hamburg , germany </td> <td> clay </td> <td> roger federer </td> <td> 3 - 6 , 5 - 7 , 6 - 7 (4 - 7) </td> </tr>\n<tr> <td> winner </td> <td> 13 june 2005 </td> <td> nottingham open , nottingham , united kingdom </td> <td> grass </td> <td> max mirnyi </td> <td> 6 - 2 , 6 - 3 </td> </tr>\n<tr> <td> winner </td> <td> 19 june 2006 </td> <td> nottingham open , nottingham , united kingdom (2) </td> <td> grass </td> <td> jonas björkman </td> <td> 6 - 4 , 6 - 3 </td> </tr>\n<tr> <td> winner </td> <td> 10 july 2006 </td> <td> allianz suisse open gstaad , gstaad , switzerland </td> <td> clay </td> <td> feliciano lópez </td> <td> 7 - 6 (7 - 4) , 6 - 7 (3 - 7) , 6 - 3 </td> </tr>\n<tr> <td> runner - up </td> <td> 7 august 2006 </td> <td> canada masters , toronto , canada </td> <td> hard </td> <td> roger federer </td> <td> 6 - 2 , 3 - 6 , 2 - 6 </td> </tr>\n<tr> <td> winner </td> <td> 23 october 2006 </td> <td> grand prix de tennis de lyon , lyon , france </td> <td> carpet (i) </td> <td> marc gicquel </td> <td> 6 - 3 , 6 - 1 </td> </tr>\n<tr> <td> runner - up </td> <td> 29 april 2007 </td> <td> estoril open , estoril , portugal </td> <td> clay </td> <td> novak djokovic </td> <td> 6 - 7 (7 - 9) , 6 - 0 , 1 - 6 </td> </tr>\n<tr> <td> winner </td> <td> 30 september 2007 </td> <td> atp mumbai , bombay , india </td> <td> hard </td> <td> olivier rochus </td> <td> 6 - 3 , 6 - 4 </td> </tr>\n<tr> <td> runner - up </td> <td> 1 october 2007 </td> <td> aig japan open tennis championships , tokyo , japan </td> <td> hard </td> <td> david ferrer </td> <td> 1 - 6 , 2 - 6 </td> </tr>\n<tr> <td> runner - up </td> <td> 13 july 2008 </td> <td> mercedes cup , stuttgart , germany </td> <td> clay </td> <td> juan martín del potro </td> <td> 4 - 6 , 5 - 7 </td> </tr>\n<tr> <td> runner - up </td> <td> 16 january 2010 </td> <td> medibank international , sydney , australia </td> <td> hard </td> <td> marcos baghdatis </td> <td> 4 - 6 , 6 - 7 (2 - 7) </td> </tr>\n<tr> <td> winner </td> <td> 22 may 2010 </td> <td> open de nice côte d'azur , nice , france </td> <td> clay </td> <td> fernando verdasco </td> <td> 6 - 3 , 5 - 7 , 7 - 6 (7 - 5) </td> </tr>\n<tr> <td> runner - up </td> <td> 1 august 2010 </td> <td> allianz suisse open gstaad , gstaad , switzerland </td> <td> clay </td> <td> nicolás almagro </td> <td> 5 - 7 , 1 - 6 </td> </tr>\n<tr> <td> runner - up </td> <td> 6 may 2012 </td> <td> estoril open , estoril , portugal (2) </td> <td> clay </td> <td> juan martín del potro </td> <td> 4 - 6 , 2 - 6 </td> </tr>\n<tr> <td> runner - up </td> <td> 12 august 2012 </td> <td> toronto masters , toronto , canada (2) </td> <td> hard </td> <td> novak djokovic </td> <td> 3 - 6 , 2 - 6 </td> </tr>\n<tr> <td> winner </td> <td> 30 september 2012 </td> <td> ptt thailand open , bangkok , thailand </td> <td> hard (i) </td> <td> gilles simon </td> <td> 6 - 2 , 6 - 1 </td> </tr>\n<tr> <td> winner </td> <td> 5 january 2013 </td> <td> qatar open , doha , qatar </td> <td> hard </td> <td> nikolay davydenko </td> <td> 3 - 6 , 7 - 6 (7 - 4) , 6 - 3 </td> </tr>\n<tr> <td> winner </td> <td> 10 february 2013 </td> <td> open sud de france , montpellier , france </td> <td> hard (i) </td> <td> benoît paire </td> <td> 6 - 2 , 6 - 3 </td> </tr>\n<tr> <td> winner </td> <td> 20 october 2013 </td> <td> kremlin cup , moscow , russia </td> <td> hard (i) </td> <td> mikhail kukushkin </td> <td> 4 - 6 , 6 - 4 , 6 - 4 </td> </tr>\n</table>"
},
{
"role": "user",
"content": "Using the information in the table image about 'richard gasquet', determine whether the next hypothesis is substantiated or refuted by the table. The final result should be presented in the JSON format of {\"answer\": \"<YOUR ANSWER>\"}.\n\nroger federer has been a runner - up on only clay courts"
},
{
"role": "assistant",
"content": "Utilizing the table as evidence, we can find that the hypothesis is false. So, the answer is {\"answer\": \"refuted\"}."
},
{
"role": "user",
"content": "Examine the table image with the title 'richard gasquet', classify whether the statement is confirmed or contradicted based on the table's content and title. The final result should be presented in the JSON format of {\"answer\": \"<YOUR ANSWER>\"}.\nstatement: it took five sets for feliciano lópez to win in switzerland"
},
{
"role": "assistant",
"content": "Based on the table information, the statement is true. Thus, the answer is {\"answer\": \"confirmed\"}."
},
{
"role": "user",
"content": "Examine whether the subsequent claim is supported or challenged by the given table titled 'richard gasquet'. Output the final answer as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}.\nnovak djokovic has been a runner - up on only hard courts"
},
{
"role": "assistant",
"content": "Utilizing the table as evidence, we can find that the claim is false. So, the answer is {\"answer\": \"challenged\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
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