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|---|---|---|---|
mmtab-TSR_train_item_1958
|
[
{
"role": "user",
"content": "<image>\nI need to know the count of rows and columns in this specific table. Return the result as JSON in the format {\"row_number\": \"m\", \"column_number\": \"n\"}, e.g., {\"row_number\": \"12\", \"column_number\": \"7\"}."
},
{
"role": "assistant",
"content": "This table has 6 rows and 3 columns. Thus, the final answer is {\"row_number\": \"6\", \"column_number\": \"3\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TabFact_train_11846
|
[
{
"role": "user",
"content": "<image>\nIn this task, you are given a table with its title 'none', your goal is to distinguish whether this table confirms or contradicts the sentence. Your final answer should be in the JSON structure, formatted as {\"answer\": \"<YOUR ANSWER>\"}.\non nov 20 , the score was 110 - 104"
},
{
"role": "assistant",
"content": "The evidence provided by the table indicates that it contradicts the sentence. Hence, the answer is {\"answer\": \"contradicts\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-HiTab_t2t_train_1438
|
[
{
"role": "user",
"content": "<image>\nGiven a table with the title 'victims of police-reported violent crime, by victim age and sex, canada, 2017' in Excel, I need you to craft a sentence describing the cells that have been highlighted."
},
{
"role": "assistant",
"content": "in 2017, there were 350,457 victims of police-reported violent crime in canada."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-InfoTabs_train_16440
|
[
{
"role": "user",
"content": "Regarding the sentence: El Pez que Fuma was released in Venezuela in 1977., examine the table and assess whether the sentence is 'upheld', 'disputed' or 'not enough information' if the table information is not sufficient to give a conclusion. Your final answer should be in the JSON structure, formatted as {\"answer\": \"<YOUR ANSWER>\"}.\n<image>"
},
{
"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 enough information\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-WTQ_nt-6399
|
[
{
"role": "user",
"content": "<image>\nwho was the next record holder after emma george won held it in 1999?\nUsing the information from the table picture about 'Women's pole vault world record progression', provide a concise answer to the provided question. Show your answer in the JSON format {\"answer\": [<a list of answer strings>]}."
},
{
"role": "assistant",
"content": "According to the table, the answer is {\"answer\": ['Stacy Dragila']}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TCR_train_item_3911
|
[
{
"role": "user",
"content": "<image>\nBased on the given table, what are the locations of the following cells?\n1. 'Eva Tanguay',\n2. 'Kate Brasher',\n3. 'Year',\n4. 'super desktop',\n5. '$2,743',\nReturn the cell location in the JSON format {'value': '<cell value>', 'location': (Row_ID, Column_ID)} where row IDs and column IDs all start from 1. Some cell values may not be contained in this table. If so, represent their locations as 'DOES NOT EXIST'."
},
{
"role": "assistant",
"content": "The coordinates of target cells are listed below.\n1. {'value': 'Eva Tanguay', 'location': (7, 3)}\n2. {'value': 'Kate Brasher', 'location': (18, 3)}\n3. {'value': 'Year', 'location': (1, 1)}\n4. {'value': 'super desktop', 'location': 'DOES NOT EXIST'}\n5. {'value': '$2,743', 'location': 'DOES NOT EXIST'}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-WTQ_nt-7342
|
[
{
"role": "user",
"content": "With reference to the depicted table about 'New York gubernatorial election, 2014', kindly offer a short answer to the following question. Present the final answer in a JSON format {\"answer\": [<a list of answer strings>]} like {\"answer\": [\"144.52\", \"NBA\"]}.\n\nQuestion: which political party has the lead in this election, democrat or republican?\n<image>"
},
{
"role": "assistant",
"content": "According to the table, the answer is {\"answer\": ['Democrat']}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TCR_train_item_2000
|
[
{
"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. Should a cell be absent in the table, denote its location as 'DOES NOT EXIST'.\nCells to locate:\nCELL VALUE 1: 'Planned to return up to 1 kilogram (2.2 lb)';\nCELL VALUE 2: 'Mission result';\nCELL VALUE 3: 'OpenLuna';\nCELL VALUE 4: '170 grams (6.0 oz)\\nof lunar rock';\nCELL VALUE 5: 'Cosmos 300';\nCELL VALUE 6: '2020 (planned)';\nCELL VALUE 7: 'Genesis';\nCELL VALUE 8: '55 grams (1.9 oz)\\nof lunar rock';\nCELL VALUE 9: '2023 (planned)';\n<image>"
},
{
"role": "assistant",
"content": "The coordinates of target cells are listed below.\nCELL LOCATION 1: {'value': 'Planned to return up to 1 kilogram (2.2 lb)', 'location': (22, 7)}\nCELL LOCATION 2: {'value': 'Mission result', 'location': (1, 7)}\nCELL LOCATION 3: {'value': 'OpenLuna', 'location': (26, 3)}\nCELL LOCATION 4: {'value': '170 grams (6.0 oz)\\nof lunar rock', 'location': (12, 5)}\nCELL LOCATION 5: {'value': 'Cosmos 300', 'location': (4, 3)}\nCELL LOCATION 6: {'value': '2020 (planned)', 'location': (18, 6)}\nCELL LOCATION 7: {'value': 'Genesis', 'location': (15, 3)}\nCELL LOCATION 8: {'value': '55 grams (1.9 oz)\\nof lunar rock', 'location': (9, 5)}\nCELL LOCATION 9: {'value': '2023 (planned)', 'location': (19, 6)}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-HiTab_t2t_train_12
|
[
{
"role": "user",
"content": "<image>\nI'm providing you with an Excel table titled 'annual number of admissions of women to shelters, by type of shelter, provinces and territories, 2013/2014'. Your challenge is to generate a descriptive sentence concerning the highlighted cells in the table. Please take into consideration the specified aggregation operators.\nOperators to use: ['sum']"
},
{
"role": "assistant",
"content": "41% of total admissions in canada were to emergency shelters and women's emergency centres."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TCR_train_item_8261
|
[
{
"role": "user",
"content": "<image>\nBased on the given table, what are the locations of the following cells?\n(1) '20%',\n(2) 'Ian Clark',\n(3) 'OREB',\nReturn the cell location in the JSON format {'value': '<cell value>', 'location': (Row_ID, Column_ID)} where row IDs and column IDs all start from 1. Represent the location as 'DOES NOT EXIST' if a cell is not present in the table."
},
{
"role": "assistant",
"content": "The coordinates of target cells are listed below.\n(1) {'value': '20%', 'location': (22, 9)}\n(2) {'value': 'Ian Clark', 'location': (18, 1)}\n(3) {'value': 'OREB', 'location': (5, 15)}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TSR_train_item_2195
|
[
{
"role": "user",
"content": "<image>\nThis image displays a table. Could you provide me with the row number and column number corresponding to this table? Return the result as JSON in the format {\"row_number\": \"m\", \"column_number\": \"n\"}, e.g., {\"row_number\": \"12\", \"column_number\": \"7\"}."
},
{
"role": "assistant",
"content": "This table has 12 rows and 6 columns. Thus, the final answer is {\"row_number\": \"12\", \"column_number\": \"6\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-InfoTabs_dev_18130
|
[
{
"role": "user",
"content": "hypothesis: Jimmy Kimmel was married to Gina Maddy for over 15 years.\nIs the above hypothesis 'substantiated' or 'disputed' by the information in the table, or should we consider the hypothesis as 'neutral' if it may or may not be true? Output the final answer as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}.\n<image>"
},
{
"role": "assistant",
"content": "Using the table as reference, the hypothesis is false. Thus, the final answer is {\"answer\": \"disputed\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_34202
|
[
{
"role": "user",
"content": "sentence: ucc 1: the new beginning is the event that has a record of 1 - 0 in quebec city , quebec , canada\nJudge whether the above sentence is supported or contradicted by the given table named 'wagnney fabiano'. Provide the final answer in the JSON structure, using the format {\"answer\": \"<YOUR ANSWER>\"}.\n<image>"
},
{
"role": "assistant",
"content": "By using the table as supporting evidence, it is evident that the sentence is incorrect. Consequently, the answer is {\"answer\": \"contradicted\"}."
},
{
"role": "user",
"content": "Considerding the provided table image, extract the cells' values in the following postions:\nthe 20th row and the 2nd column,\nthe 13th row and the 8th column,\nthe 20th row and the 7th column,\nthe 13th row and the 3rd column,\n\nOutput each cell content 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\":\"20\", \"column_id\":\"2\", \"cell_value\":\"1 - 0\"}\n{\"row_id\":\"13\", \"column_id\":\"8\", \"cell_value\":\"las vegas , nevada , united states\"}\n{\"row_id\":\"20\", \"column_id\":\"7\", \"cell_value\":\"10:00\"}\n{\"row_id\":\"13\", \"column_id\":\"3\", \"cell_value\":\"erik owings\"}"
},
{
"role": "user",
"content": "Analyze this table picture about 'wagnney fabiano' and classify whether the given table confirms or disproves the claim. Format your final answer as a JSON, using the structure {\"answer\": \"<YOUR ANSWER>\"}.\n\nucc 1: the new beginning was the event with the record 1 - 0"
},
{
"role": "assistant",
"content": "Based on the table data, we can affirm the truth of the claim. Consequently, the answer is {\"answer\": \"confirms\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-InfoTabs_train_1029
|
[
{
"role": "user",
"content": "Give you a table extracted from wikipedia infobox, determine whether the following hypothesis is 'substantiated' or 'disputed' by the table. If the table does not provide enough evidence for the hypothesis, then output 'not sure' as the answer. Present the final answer in a JSON format {\"answer\": \"<YOUR ANSWER>\"} like {\"answer\": \"entailed\"}.\nKaren Carpenter was born in New England. \n<image>"
},
{
"role": "assistant",
"content": "According to the table, the hypothesis is substantiated by the table. Therefore, the final answer is {\"answer\": \"substantiated\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_10935
|
[
{
"role": "user",
"content": "Please consult the table and use it to respond to the question below. Present the final answer as JSON in the format {\"answer\": [<a list of answer strings>]}.\nWhat is the increase/ (decrease) in Cash and cash equivalents from December 31, 2018 to December 31, 2019?\n<image>"
},
{
"role": "assistant",
"content": "To answer the given question, we need to conduct the following computations:\n494-405 = 89\nTherefore, the final answer is {\"answer\": [\"89\"]}."
},
{
"role": "user",
"content": "The 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':(A, B), 'bottom-right':(C, D)}, where '(A, B)' and '(C, D)' 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": "This table does not contain any merged cells."
},
{
"role": "user",
"content": "Given the table image, tell me the locations of the subsequent table cells. Represent the cell location with JSON {'value': '<cell value>', 'location': (Row_ID, Column_ID)} where both Row IDs and Column IDs begin from 1.\n1. '–',\n2. 'Long-term debt 1',\n3. '2.5',\n4. '2018',\n5. '(1,414)',\n6. '6,157',\n7. 'Debt leverage ratio 4',\nFor the case where a cell is not contained in the table, its location should be denoted as 'DOES NOT EXIST'."
},
{
"role": "assistant",
"content": "The coordinates of target cells are listed below.\n1. {'value': '–', 'location': (6, 4)}\n2. {'value': 'Long-term debt 1', 'location': (3, 1)}\n3. {'value': '2.5', 'location': (10, 4)}\n4. {'value': '2018', 'location': (2, 4)}\n5. {'value': '(1,414)', 'location': (4, 2)}\n6. {'value': '6,157', 'location': (9, 3)}\n7. {'value': 'Debt leverage ratio 4', 'location': (10, 1)}"
},
{
"role": "user",
"content": "Please read the table in this image and return a markdown-style reconstructed table in text."
},
{
"role": "assistant",
"content": "| | As at December 31 | As at January 1 | As at December 31 |\n| --- | --- | --- | --- |\n| (In millions of dollars, except ratios) | 2019 | 2019 | 2018 |\n| Long-term debt 1 | 16,130 | 14,404 | 14,404 |\n| Net debt derivative assets valued without any adjustment for credit risk 2 | (1,414) | (1,448) | (1,448) |\n| Short-term borrowings | 2,238 | 2,255 | 2,255 |\n| Lease liabilities 3 | 1,725 | 1,545 | – |\n| Cash and cash equivalents | (494) | (405) | (405) |\n| Adjusted net debt 4 | 18,185 | 16,351 | 14,806 |\n| Divided by: trailing 12-month adjusted EBITDA 4 | 6,212 | 6,157 | 5,983 |\n| Debt leverage ratio 4 | 2.9 | 2.7 | 2.5 |"
},
{
"role": "user",
"content": "Could you calculate the row number and column number in this table? Format your final answer as a JSON, using the structure {\"row_number\": \"m\", \"column_number\": \"n\"}."
},
{
"role": "assistant",
"content": "This table has 10 rows and 4 columns. Thus, the final answer is {\"row_number\": \"10\", \"column_number\": \"4\"}."
},
{
"role": "user",
"content": "Find the 4th row in this table and extract its cells' values. Output the cell values in a row as JSON in the format {\"row_id\":\"<row index>\", \"cell_list\":\"<a list of cells in this row>\"}, e.g., {\"row_id\":\"3\", \"cell_list\": [\"123.89\", \"News gathering\", \"selected tools\"]}."
},
{
"role": "assistant",
"content": "The cells in the 4th row: {\"row_id\": \"4\", \"cell_list\": ['Net debt derivative assets valued without any adjustment for credit risk 2', '(1,414)', '(1,448)', '(1,448)']}"
},
{
"role": "user",
"content": "Please consult the table and use it to respond to the question below. Present the final answer as JSON in the format {\"answer\": [<a list of answer strings>]}.\nWhat is the increase/ (decrease) in Long-term debt from December 31, 2018 to December 31, 2019?"
},
{
"role": "assistant",
"content": "To answer the given question, we need to conduct the following computations:\n16130-14404 = 1726\nTherefore, the final answer is {\"answer\": [\"1726\"]}."
},
{
"role": "user",
"content": "Inspect this table picture and then address the question carefully. Provide a concluding answer in a JSON structure, using the format {\"answer\": [<a list of answer strings>]} such as {\"answer\": [\"20\", \"apple\"]}.\nWhat is the increase/ (decrease) in Net debt derivative assets valued without any adjustment for credit risk from December 31, 2018 to December 31, 2019?"
},
{
"role": "assistant",
"content": "Using the number listed in the table, we have the following computations: 1414-1448 = -34\n\nAs a result, the final answer is {\"answer\": [\"-34\"]}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TabFact_train_5174
|
[
{
"role": "user",
"content": "This is a table named 'memphis grizzlies all - time roster', please determine whether the given statement is confirmed or disproved by the table information. Show your final answer in the JSON format {\"answer\": \"<YOUR ANSWER>\"}.\nmichael smith played small forward for the grizzlies from 1997 - 1999\n<image>"
},
{
"role": "assistant",
"content": "Based on the table information, the statement is true. Thus, the answer is {\"answer\": \"confirmed\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-MCD_train_item_1443
|
[
{
"role": "user",
"content": "Examine the table in this image and extract any merged cell regions. Please format the merged cell regions as JSON {'top-left':(R1, C1), 'bottom-right':(R2, C2)}, with (R1, C1) indicating the (row_id, column_id) of the top-left cell and (R2, C2) the bottom-right cell in the merged regions. Remember that the R1, C1, R2, C2 all start from 1.\n<image>"
},
{
"role": "assistant",
"content": "This table does not contain any merged cells."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TabFact_train_29622
|
[
{
"role": "user",
"content": "Analyze the table's content, including its title '1932 vfl season', and determine whether the given hypothesis is substantiated or disproved by the table information. Present the final answer in a JSON format {\"answer\": \"<YOUR ANSWER>\"} like {\"answer\": \"entailed\"}.\nhypothesis: fitzroy scored more than essendon\n<image>"
},
{
"role": "assistant",
"content": "Utilizing the table as evidence, we can find that the hypothesis is true. So, the answer is {\"answer\": \"substantiated\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-WTQ_nt-10233
|
[
{
"role": "user",
"content": "<image>\nLooking at the table picture concerning 'Lori Chalupny', what is the concise answer to the question posed below? Output the answer as JSON in the format {\"answer\": [<a list of answer strings>]} such as {\"answer\": [\"answer_1\", \"answer_2\", \"answer_3\"]}.\nwhat is the last location on the chart"
},
{
"role": "assistant",
"content": "Using the table as reference, the answer is {\"answer\": ['USABridgeview IL']}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_35960
|
[
{
"role": "user",
"content": "<image>\nA merged cell in a table could be represented by the JSON {'top-left':(A, B), 'bottom-right':(C, D)}, where '(A, B)' and '(C, D)' signify the (row_id, column_id) of the top-left and bottom-right cells in the merged area. Using the shown table image, locate all merged cells and provide their coordinates in this format. Bear in mind 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':(1, 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':(3, 2), 'bottom-right':(3, 9)}\n{'top-left':(8, 2), 'bottom-right':(8, 9)}\n{'top-left':(13, 2), 'bottom-right':(13, 9)}."
},
{
"role": "user",
"content": "For the table titled 'distribution of workers by tenure and sex, for selected industries and occupations, 2016', I'd like you to construct a sentence that describes the highlighted cells."
},
{
"role": "assistant",
"content": "among social workers, 14.3% of females reported working part-time in 2015."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TCR_train_item_572
|
[
{
"role": "user",
"content": "A table may have multiple cells. We can utilize the json format {'value': '<cell value>', 'location': (row_id, column_id)} to store a cell's positions in a table, where both row and column id start from 1. I am providing you a table image. Please tell me the positions of the cells mentioned below using the above format. Represent the location as 'DOES NOT EXIST' if a cell is not present in the table.\nValues to locate:\n1. '20000'\n2. '$1,485'\n3. '6,200'\n4. '$885'\n5. 'Quantity demanded'\n6. '11 / 05 / 1932'\n7. 'memorial stadium minneapolis , mn'\n8. '15,400'\n9. '1,500'\n10. '5,800'\n11. '15,600'\n<image>"
},
{
"role": "assistant",
"content": "The target cell locations are as follows:\n1. {'value': '20000', 'location': 'DOES NOT EXIST'}\n2. {'value': '$1,485', 'location': (6, 1)}\n3. {'value': '6,200', 'location': (3, 3)}\n4. {'value': '$885', 'location': (2, 1)}\n5. {'value': 'Quantity demanded', 'location': (1, 2)}\n6. {'value': '11 / 05 / 1932', 'location': 'DOES NOT EXIST'}\n7. {'value': 'memorial stadium minneapolis , mn', 'location': 'DOES NOT EXIST'}\n8. {'value': '15,400', 'location': (3, 2)}\n9. {'value': '1,500', 'location': (2, 3)}\n10. {'value': '5,800', 'location': (5, 2)}\n11. {'value': '15,600', 'location': (5, 3)}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_31347
|
[
{
"role": "user",
"content": "<image>\nRetrieve the values of cells at the given table positions, indicated by row and column indices. Format each cell value as a JSON, using the structure {\"row_id\":\"m\", \"column_id\":\"n\", \"cell_value\":\"<Corresponding Cell Value>\"}.\nPositions to check:\nthe 2nd row and the 1st column\nthe 4th row and the 2nd column\nthe 2nd row and the 2nd column"
},
{
"role": "assistant",
"content": "The target cell values are as follows:\n{\"row_id\":\"2\", \"column_id\":\"1\", \"cell_value\":\"antique walnut buffet\"}\n{\"row_id\":\"4\", \"column_id\":\"2\", \"cell_value\":\"$9,989\"}\n{\"row_id\":\"2\", \"column_id\":\"2\", \"cell_value\":\"$5,426\"}"
},
{
"role": "user",
"content": "Show the detailed solution to answer the following question. The final result should be presented in the JSON format of {\"answer\": \"<YOUR ANSWER>\"}.\nQuestion: Suzie has $13,792. Does she have enough to buy an antique oak writing desk and an antique rosewood corner cabinet? (A) yes (B) no"
},
{
"role": "assistant",
"content": "Add the price of an antique oak writing desk and the price of an antique rosewood corner cabinet:\n\n$4,701 + $9,404 = $14,105\n\n$14,105 is more than $13,792. Suzie does not have enough money.\n\nTherefore, the final answer is {\"answer\": \"no\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TABMWP_4249
|
[
{
"role": "user",
"content": "<image>\nWith the shown table image as your reference, carefully work out a detailed solution to the following question. Conclude your response with a final answer in the JSON format {\"answer\": \"<YOUR ANSWER>\"}.\nTable title: Ferry fares\nQuestion: For an economics project, Layla determined the cost of ferry rides for bicycles and cars. How much does it cost to take a bicycle on the Southport-Fort Fisher ferry? (Unit: $)"
},
{
"role": "assistant",
"content": "First, find the row for Southport-Fort Fisher. Then find the number in the Bicycle column.\n\nThis number is $2.00. It costs $2 to take a bicycle on the Southport-Fort Fisher ferry.\n\nSo, the answer is {\"answer\": \"2\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-ToTTo_train_item_10465
|
[
{
"role": "user",
"content": "This image shows a Wikipedia table extracted from a section.\nTable title: List of ambassadors of Pakistan to China\nTable section title: List of representatives\n Using the provided table and its metadata, write a sentence to summarize the information in the highlighted table cells.\n<image>"
},
{
"role": "assistant",
"content": "Agha Shahi served as the Pakistan's ambassador to China."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-ToTTo_train_item_8326
|
[
{
"role": "user",
"content": "This image shows a Wikipedia table extracted from a section.\nTable title: 2018 NCAA Division I Outdoor Track and Field Championships\nTable section title: Men's javelin throw\n Using the provided table and its metadata, write a sentence to summarize the information in the highlighted table cells.\n<image>"
},
{
"role": "assistant",
"content": "Mississippi State competitor Anderson Peters set a championship record of 82.82 m (271 ft 8 ¹⁄₂ in) to win the men's javelin throw."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_19120
|
[
{
"role": "user",
"content": "Recognize the table in the presented picture and represent it in the HTML-format. Only preserve the basic table structure and content.\n<image>"
},
{
"role": "assistant",
"content": "<table border=\"1\" cellspacing=\"0\">\n<tr> <td> peanut butter cookie dough </td> <td> $4/lb </td> </tr>\n<tr> <td> gingersnap cookie dough </td> <td> $5/lb </td> </tr>\n<tr> <td> snickerdoodle cookie dough </td> <td> $6/lb </td> </tr>\n<tr> <td> oatmeal raisin cookie dough </td> <td> $6/lb </td> </tr>\n<tr> <td> chocolate chip cookie dough </td> <td> $7/lb </td> </tr>\n</table>"
},
{
"role": "user",
"content": "Give you a table. Please solve the math problem below, showing each step. Conclude your response with a final answer in the JSON format {\"answer\": \"<YOUR ANSWER>\"}.\n\nTiana went to the store. She bought 5 pounds of chocolate chip cookie dough. How much did she spend? (Unit: $)"
},
{
"role": "assistant",
"content": "Find the cost of the chocolate chip cookie dough. Multiply the price per pound by the number of pounds.\n\n$7 × 5 = $35\n\nShe spent $35.\n\nThus, the final answer is {\"answer\": \"35\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-ToTTo_train_item_1771
|
[
{
"role": "user",
"content": "This picture shows a Wikipedia table about 'Al Green (basketball)'. Produce a single-sentence outline of highlighted table cells.\n<image>"
},
{
"role": "assistant",
"content": "In 1984, Al Green (basketball) averaged 39.5 points per game in an NBL season."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_recognition_train_item_88386
|
[
{
"role": "user",
"content": "<image>\nThis picture illustrates a table. Please represent this table with the HTML-format in text."
},
{
"role": "assistant",
"content": "<body><h2>Michel Bussi</h2><br/> <b>Section Title</b>: Bibliography <br/><b>Table Section Text</b>: Novellas in collections 2010 — \"T'en souviens-tu mon Anaïs?\" in Les Couleurs de l'instant 2015 — \"L'Armoire normande\" in Quatre auteurs à la plage 2016 — \"La Seconde Morte, in 13 à table! <br/> \n<table border=\"1\" cellspacing=\"0\">\n<tr> <th> First Published </th> <th> French Title </th> <th> First Published in English </th> <th> English Title </th> <th> Notes </th></tr>\n<tr> <td> 2006 </td> <td> Code Lupin </td> <td> — </td> <td> — </td> <td> Rereleased in 2019 </td></tr>\n<tr> <td> 2007 </td> <td> Omaha crimes </td> <td> — </td> <td> — </td> <td> </td></tr>\n<tr> <td> 2008 </td> <td> Mourir sur Seine </td> <td> — </td> <td> — </td> <td> Reworked and re-released in 2019 </td></tr>\n<tr> <td> 2009 </td> <td> Sang famille </td> <td> — </td> <td> — </td> <td> Rereleased in 2018 </td></tr>\n<tr> <td> 2011 </td> <td> Nymphéas noirs </td> <td> 2016 </td> <td> Black Water Lilies </td> <td> </td></tr>\n<tr> <td> 2012 </td> <td> Un avion sans elle </td> <td> 2015 </td> <td> After the Crash </td> <td> </td></tr>\n<tr> <td> 2013 </td> <td> Ne lâche pas ma main </td> <td> 2017 </td> <td> Don't Let Go </td> <td> </td></tr>\n<tr> <td> 2014 </td> <td> N'oublier jamais </td> <td> — </td> <td> — </td> <td> </td></tr>\n<tr> <td> 2015 </td> <td> Gravé dans le sable </td> <td> — </td> <td> — </td> <td> Re-written version of Omaha crimes </td></tr>\n<tr> <td> 2015 </td> <td> Maman a tort </td> <td> — </td> <td> — </td> <td> </td></tr>\n<tr> <td> 2016 </td> <td> Le temps est assassin </td> <td> 2018 </td> <td> Time is a Killer </td> <td> </td></tr>\n<tr> <td> 2017 </td> <td> On la trouvait plutôt jolie </td> <td> — </td> <td> — </td> <td> </td></tr>\n<tr> <td> 2018 </td> <td> Les Contes du Réveil Matin </td> <td> — </td> <td> — </td> <td> Children's book, illustrated by Éric Puybaret </td></tr>\n<tr> <td> 2019 </td> <td> J'ai dû rêver trop fort </td> <td> — </td> <td> — </td> <td> </td></tr>\n</table> </body>"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TSR_train_item_1916
|
[
{
"role": "user",
"content": "Could you count the number of rows and columns in this table? Present the final answer in a JSON format {\"row_number\": \"m\", \"column_number\": \"n\"} such as {\"row_number\": \"2\", \"column_number\": \"3\"}.\n<image>"
},
{
"role": "assistant",
"content": "This table has 7 rows and 3 columns. Thus, the final answer is {\"row_number\": \"7\", \"column_number\": \"3\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TCR_train_item_5776
|
[
{
"role": "user",
"content": "Given a table, you can represent a cell's position using the JSON {'value': '<cell value>', 'location': (row number, column number)}, where row and column number start from 1. Referring to the shown table picture, determine the locations of the specified cells using the mentioned format.\nTarget cell values:\n1. 'r2: 0.2517',\n2. 'semifinal',\n3. '0.06',\n4. 'charlie oliver',\n5. 'final',\n6. 'quarterfinal',\n7. 'heat',\n8. 'p-value',\n9. '0.00',\nDenote the location as 'DOES NOT EXIST' if a cell does not exist in the table.\n<image>"
},
{
"role": "assistant",
"content": "The target cell locations are as follows:\n1. {'value': 'r2: 0.2517', 'location': 'DOES NOT EXIST'}\n2. {'value': 'semifinal', 'location': (1, 7)}\n3. {'value': '0.06', 'location': 'DOES NOT EXIST'}\n4. {'value': 'charlie oliver', 'location': (4, 1)}\n5. {'value': 'final', 'location': (1, 9)}\n6. {'value': 'quarterfinal', 'location': (1, 5)}\n7. {'value': 'heat', 'location': (1, 3)}\n8. {'value': 'p-value', 'location': 'DOES NOT EXIST'}\n9. {'value': '0.00', 'location': 'DOES NOT EXIST'}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TCE_train_item_6208
|
[
{
"role": "user",
"content": "Retrieve 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:\nthe 2nd row and the 4th column,\nthe 5th row and the 6th column,\nthe 4th row and the 6th column,\nthe 6th row and the 6th column,\nthe 4th row and the 3rd column,\nthe 4th row and the 2nd column,\nthe 2nd row and the 2nd column,\nthe 2nd row and the 6th column,\n<image>"
},
{
"role": "assistant",
"content": "The target cell values are as follows:\n{\"row_id\":\"2\", \"column_id\":\"4\", \"cell_value\":\"% Growth\"}\n{\"row_id\":\"5\", \"column_id\":\"6\", \"cell_value\":\"27.7\"}\n{\"row_id\":\"4\", \"column_id\":\"6\", \"cell_value\":\"26.4\"}\n{\"row_id\":\"6\", \"column_id\":\"6\", \"cell_value\":\"21.0\"}\n{\"row_id\":\"4\", \"column_id\":\"3\", \"cell_value\":\"27.0\"}\n{\"row_id\":\"4\", \"column_id\":\"2\", \"cell_value\":\"39,506\"}\n{\"row_id\":\"2\", \"column_id\":\"2\", \"cell_value\":\"FY 2019\"}\n{\"row_id\":\"2\", \"column_id\":\"6\", \"cell_value\":\"% of Revenue\"}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TABMWP_27391
|
[
{
"role": "user",
"content": "Based on the table, solve the math word problem. Give a solution step by step. Conclude your response with the final answer in the JSON format, structured as {\"answer\": \"<YOUR ANSWER>\"}.\nProblem: Dale has $16,711.00. Does he have enough to buy a hydrofoil and a forklift? (A) yes (B) no\nSolution:\n<image>"
},
{
"role": "assistant",
"content": "Add the price of a hydrofoil and the price of a forklift:\n\n$9,135.00 + $8,060.00 = $17,195.00\n\n$17,195.00 is more than $16,711.00. Dale does not have enough money.\n\nTherefore, the final answer is {\"answer\": \"no\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-InfoTabs_train_8121
|
[
{
"role": "user",
"content": "<image>\nKing Philippe is grand master of an order that is over 100 years old.\n Does the provided table 'substantiates' or 'disputes' the above statement? Should we classify it as 'not enough evidence' if there is no enough information? Output the final answer as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}."
},
{
"role": "assistant",
"content": "According to the table, the provided statement is true. Therefore, the final answer is {\"answer\": \"substantiates\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-ToTTo_train_item_3612
|
[
{
"role": "user",
"content": "Make a one-sentence description about the highlighted table cells in the given table whose title is 'Wells, Texas'.\n<image>"
},
{
"role": "assistant",
"content": "As of the census of 2000, there were 769 people residing in the Wells."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TabFact_train_11593
|
[
{
"role": "user",
"content": "<image>\nTable title: portuguese legislative election , 2002\nhypothesis: in the march 15 , 2002 results release , the left bloc won between 2 and 4 percent of the vote\nPlease distinguish whether the above hypothesis is confirmed or challenged by the table information. Provide the final answer in the JSON structure, using the format {\"answer\": \"<YOUR ANSWER>\"}."
},
{
"role": "assistant",
"content": "Based on the table information, the hypothesis is true. Thus, the answer is {\"answer\": \"confirmed\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TABMWP_37843
|
[
{
"role": "user",
"content": "<image>\nBased on this table about 'Bottles collected', answer the following question in a stepwise manner. Conclude your response with a final answer in the JSON format {\"answer\": \"<YOUR ANSWER>\"}.\nClara's class paid attention to how many bottles each student collected for their recycling project. How many more bottles did Clara collect than Annie? (Unit: bottles)"
},
{
"role": "assistant",
"content": "Find the numbers in the table.\n\nClara: 4,624\nAnnie: 1,312\n\nNow subtract: 4,624 - 1,312 = 3,312.\n\nClara collected 3,312 more bottles.\n\nThus, the final answer is {\"answer\": \"3,312\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-HiTab_4e3f1fbeb955cfb510712ecbfdd1ca7a
|
[
{
"role": "user",
"content": "Observe the illustrated table. The title of this table is 'person who reported having driven a vehicle after consuming two drinks in the preceding hour, by selected driving, drinking and health-related habits, ontario, manitoba, alberta, yukon and nunavut, 2014' and give a brief response to address the subsequent question:\nwhat percentage of drivers who didn't always fasten their seat belt reported having driven after drinking?\n\nRequirements: Output the answer as JSON in the format {\"answer\": [<a list of answer strings>]} such as {\"answer\": [\"14.31\", \"55.98\", \"April\"]}.\n<image>"
},
{
"role": "assistant",
"content": "Using the information in the excel table, the answer is {\"answer\": [\"13.9\"]}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_recognition_train_item_137560
|
[
{
"role": "user",
"content": "Recognize the table in the presented picture and represent it in the latex-format.\n<image>"
},
{
"role": "assistant",
"content": "\\begin{tabular}{|c|c|c|c|c|c|c|c|}\n\\hline\n season & timeslot (edt) & season premiere & season finale & tv season & rank & viewers (in millions) & 18 - 49 average \\\\\n\\hline\n 1 & sunday 9:00 pm & october 3 , 2004 & may 22 , 2005 & 2004 - 2005 & 4 & 23.69 & 10.66 \\\\\n\\hline\n 2 & sunday 9:00 pm & september 25 , 2005 & may 21 , 2006 & 2005 - 2006 & 4 & 21.70 & 10.09 \\\\\n\\hline\n 3 & sunday 9:00 pm & september 24 , 2006 & may 20 , 2007 & 2006 - 2007 & 12 & 16.70 & 7.57 \\\\\n\\hline\n 4 & sunday 9:00 pm & september 30 , 2007 & may 18 , 2008 & 2007 - 2008 & 8 & 17.52 & 6.71 \\\\\n\\hline\n 5 & sunday 9:00 pm & september 28 , 2008 & may 17 , 2009 & 2008 - 2009 & 9 & 15.66 & 5.29 \\\\\n\\hline\n 6 & sunday 9:00 pm & september 27 , 2009 & may 16 , 2010 & 2009 - 2010 & 20 & 12.83 & 4.25 \\\\\n\\hline\n 7 & sunday 9:00 pm & september 26 , 2010 & may 15 , 2011 & 2010 - 2011 & 26 & 11.86 & 3.46 \\\\\n\\hline\n 8 & sunday 9:00 pm & september 25 , 2011 & may 13 , 2012 & 2011 - 2012 & 37 & 10.60 & 2.74 \\\\\n\\hline\n\\end{tabular}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-InfoTabs_train_4297
|
[
{
"role": "user",
"content": "<image>\nGiven a table as a premise, determine if it supports or contradicts the following sentence. If the table information is not sufficient to give a conclusion, the sentence should be considered 'not enough information'. Present the final answer in a JSON format {\"answer\": \"<YOUR ANSWER>\"} like {\"answer\": \"entailed\"}.\n\nDewey Readmore Books still supervises the library."
},
{
"role": "assistant",
"content": "Based on the table image, the table contradicts the given sentence. So, the answer is {\"answer\": \"contradicts\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TABMWP_20037
|
[
{
"role": "user",
"content": "<image>\nConsider the table regarding to 'Quiz show scores' to sequentially solve the problem presented below. Finally, your final answer should be in the JSON format of {\"answer\": \"<YOUR ANSWER>\"}.\n\nFor a math assignment, Estelle researched the scores of the people competing on her favorite quiz show. How many people scored fewer than 90 points? (Unit: people)"
},
{
"role": "assistant",
"content": "Count all the leaves in the rows with stems 2, 3, 4, 5, 6, 7, and 8.\n\nYou counted 23 leaves, which are blue in the stem-and-leaf plot above. 23 people scored fewer than 90 points.\n\nTherefore, the final answer is {\"answer\": \"23\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TabFact_train_8145
|
[
{
"role": "user",
"content": "<image>\nExamine whether the subsequent statement is upheld or disputed by the given table titled '1997 cart season'. The final result should be presented in the JSON format of {\"answer\": \"<YOUR ANSWER>\"}.\nmotorola sponsored a bettenhausen racing team car"
},
{
"role": "assistant",
"content": "Utilizing the table as evidence, we can find that the statement is false. So, the answer is {\"answer\": \"disputed\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-ToTTo_train_item_9750
|
[
{
"role": "user",
"content": "<image>\nAnalyzing this Wikipedia table titled 'Catawissa, Pennsylvania'. It is extracted from a section titled 'Demographics'.\nBased on the table information, craft a sentence that describes the highlighted cells."
},
{
"role": "assistant",
"content": "As of the census of 2000, there were 1,589 people, residing in Catawissa, Pennsylvania."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_28231
|
[
{
"role": "user",
"content": "<image>\nTake a look at the table in this image and provide me with the HTML representation of the table in text format."
},
{
"role": "assistant",
"content": "<table border='1' cellspacing='0'>\n<tr> <th> Year </th><th> Film </th><th> Role </th><th> Language </th><th> Notes </th></tr>\n<tr> <td> 2013 </td><td> Ego </td><td> Gomathi </td><td> Tamil </td><td> </td></tr>\n<tr> <td colspan=1 rowspan=3 > 2014 </td><td> Vallinam </td><td> Anu </td><td> Tamil </td><td> </td></tr>\n<tr> <td> Yaamirukka Bayamey </td><td> Mohini </td><td> Tamil </td><td> </td></tr>\n<tr> <td> Namo Boothatma </td><td> Mohini </td><td> Kannada </td><td> </td></tr>\n<tr> <td> 2018 </td><td> Pattinapakkam </td><td> Mithra </td><td> Tamil </td><td> </td></tr>\n</table>"
},
{
"role": "user",
"content": "Based on the table named 'Filmography' regarding 'Anaswara Kumar'. Answer this question: Who portrayed Mohini in the 2014 film Yaamirukka Bayamey and what language was it released in?"
},
{
"role": "assistant",
"content": "Anaswara Kumar portrayed Mohini in the 2014 Tamil film Yaamirukka Bayamey."
},
{
"role": "user",
"content": "For the cells in the 3rd column of this table, provide their contents. Show the cells in a column in the JSON format {\"column_id\":\"<column index>\", \"cell_list\":\"<a list of cells in this column>\"}. For example, {\"column_id\":\"6\", \"cell_list\": [\"A\", \"B\", \"C\"]}."
},
{
"role": "assistant",
"content": "The cells in the 3rd column: {\"column_id\": \"3\", \"cell_list\": ['Role', 'Gomathi', 'Anu', 'Mohini', 'Mohini', 'Mithra']}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TCE_train_item_7552
|
[
{
"role": "user",
"content": "According to the shown table image, what is the value of the cell positioned in row 4 and column 1 of the table? 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 4 and column 1 is {\"row_id\":\"4\", \"column_id\":\"1\", \"cell_value\":\"1992\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_20872
|
[
{
"role": "user",
"content": "Determine the relationship between the table named 'emanuele pirro' and the sentence. Whether the table confirms or disproves the given sentence? The final result should be presented in the JSON format of {\"answer\": \"<YOUR ANSWER>\"}.\nsentence: emanuele pirro won the 24 hours of le mans race five times\n<image>"
},
{
"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": "Examine whether the subsequent statement is upheld or contradicted by the given table titled 'emanuele pirro'. The final result should be presented in the JSON format of {\"answer\": \"<YOUR ANSWER>\"}.\nthe only significant gaps in his attempts as the 24 hours of le mans race was the 15 years between his first and third attempts"
},
{
"role": "assistant",
"content": "The evidence provided by the table indicates that the statement is not valid. Hence, the answer is {\"answer\": \"contradicted\"}."
},
{
"role": "user",
"content": "Examine the table with the given title 'emanuele pirro' and judge whether the sentence is upheld or opposed based on the table's content. Output the final answer as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}.\nemanuele pirro lost the 24 hours of le mans race two times"
},
{
"role": "assistant",
"content": "The evidence provided by the table indicates that the sentence is not valid. Hence, the answer is {\"answer\": \"opposed\"}."
},
{
"role": "user",
"content": "This is a table image titled 'emanuele pirro', help me determine if the table confirms or refutes the following sentence. Present the final answer in a JSON format {\"answer\": \"<YOUR ANSWER>\"} like {\"answer\": \"entailed\"}.\nin 2007 and 2008 , emanuele pirro raced with the same two co - drivers and with only a 2 lap difference placed in 1st in 2007 and in 6th in 2008"
},
{
"role": "assistant",
"content": "Considering the information from the table, it confirms the sentence. So, the answer is {\"answer\": \"confirms\"}."
},
{
"role": "user",
"content": "Take a look at the table in this image and provide me with the markdown representation of the table in text format."
},
{
"role": "assistant",
"content": "| year | team | co - drivers | class | laps | pos | class pos |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1981 | martini racing | beppe gabbiani | gr5 | 47 | dnf | dnf |\n| 1998 | gulf team davidoff gtc competition | dr thomas bscher rinaldo capello | gt1 | 228 | dnf | dnf |\n| 1999 | audi sport team joest | frank biela didier theys | lmp | 360 | 3rd | 2nd |\n| 2000 | audi sport team joest | tom kristensen frank biela | lmp900 | 368 | 1st | 1st |\n| 2001 | audi sport team joest | tom kristensen frank biela | lmp900 | 321 | 1st | 1st |\n| 2002 | audi sport team joest | tom kristensen frank biela | lmp900 | 375 | 1st | 1st |\n| 2003 | champion racing | stefan johansson jj lehto | lmp900 | 372 | 3rd | 1st |\n| 2004 | adt champion racing | jj lehto marco werner | lmp1 | 368 | 3rd | 3rd |\n| 2005 | adt champion racing | frank biela allan mcnish | lmp1 | 364 | 3rd | 3rd |\n| 2006 | audi sport team joest | frank biela marco werner | lmp1 | 380 | 1st | 1st |\n| 2007 | audi sport team joest | frank biela marco werner | lmp1 | 369 | 1st | 1st |\n| 2008 | audi sport north america | frank biela marco werner | lmp1 | 367 | 6th | 6th |\n| 2010 | drayson racing | paul drayson jonny cocker | lmp1 | 254 | nc | nc |"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-InfoTabs_train_6530
|
[
{
"role": "user",
"content": "claim: Sofia is the capital of Republic of Bulgaria.\nIs the above claim 'affirmed' or 'contradicted' by the information in the table, or should we consider the claim as 'not sure' if it may or may not be true? The final result should be presented in the JSON format of {\"answer\": \"<YOUR ANSWER>\"}.\n<image>"
},
{
"role": "assistant",
"content": "According to the table, the claim is affirmed by the table. Therefore, the final answer is {\"answer\": \"affirmed\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_31648
|
[
{
"role": "user",
"content": "Analyze this table picture about '2007 tour de romandie' and classify whether the given table affirms or contradicts the claim. Your final answer should be in the JSON structure, formatted as {\"answer\": \"<YOUR ANSWER>\"}.\n\nrabobank , with 82 points , remains ranked 4th\n<image>"
},
{
"role": "assistant",
"content": "Considering the information from the table, it affirms the claim. So, the answer is {\"answer\": \"affirms\"}."
},
{
"role": "user",
"content": "Using the information in the table image about '2007 tour de romandie', determine whether the next hypothesis is substantiated or disputed by the table. Return the result as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}, e.g., {\"answer\": \"deputed\"}.\n\nitalian player with points more than 100 was ranked first previously"
},
{
"role": "assistant",
"content": "Based on the table information, the hypothesis is true. Thus, the answer is {\"answer\": \"substantiated\"}."
},
{
"role": "user",
"content": "Examine the table with the given title '2007 tour de romandie' and judge whether the sentence is affirmed or disproved based on the table's content. Return the result as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}, e.g., {\"answer\": \"deputed\"}.\nthe previous rank for italy with points at 100 is 1"
},
{
"role": "assistant",
"content": "Utilizing the table as evidence, we can find that the sentence is false. So, the answer is {\"answer\": \"disproved\"}."
},
{
"role": "user",
"content": "Presented with a table with the title '2007 tour de romandie', distinguish whether the table substantiates or opposes the following hypothesis. Show your final answer in the JSON format {\"answer\": \"<YOUR ANSWER>\"}.\nhypothesis: 15 is the previous rank for australia when points are less than 79 -"
},
{
"role": "assistant",
"content": "The evidence provided by the table indicates that it opposes the hypothesis. Hence, the answer is {\"answer\": \"opposes\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-FeTaQA_17057
|
[
{
"role": "user",
"content": "Answer the question based on this wikipedia table.\nWikipedia page title: Sneaky Sound System\nTable title: ARIA Awards\nQuestion: Which two tracks received nominations at the ARIA Music Awards in 2006 and what were the nominations?\nAnswer: \n<image>"
},
{
"role": "assistant",
"content": "At the ARIA Music Awards of 2006, \"I Love It\" received two nominations for 'Break Through Artist – Single' and 'Best Dance Release'."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-HiTab_t2t_train_2722
|
[
{
"role": "user",
"content": "Within this image, you'll find a table bearing the title 'distribution of the total population by language spoken at least on a regular basis at home, by inuit identity, nunavut, 2016'. Observe that certain cells in the table are marked with a distinct color. Your task is to formulate a succinct one-sentence description for these highlighted cells.\n<image>"
},
{
"role": "assistant",
"content": "in 2016, a small number of inuit reported speaking french at least on a regular basis at home."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-MCD_train_item_5570
|
[
{
"role": "user",
"content": "<image>\nBased on this table picture, can you identify any merged cells and give their coordinates in the JSON format {'top-left':(X1, Y1), 'bottom-right':(X2, Y2)}, where (X1, Y1) and (X2, Y2) correspond to the top-left and bottom-right (row_id, column_id) of the merged area? The row_id and column_id should start from 1 rather than 0."
},
{
"role": "assistant",
"content": "The merged cell regions are as follows:\n{'top-left':(1, 1), 'bottom-right':(2, 1)}\n{'top-left':(2, 2), 'bottom-right':(2, 6)}\n{'top-left':(2, 7), 'bottom-right':(2, 10)}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-WikiBIO_train_item_1452
|
[
{
"role": "user",
"content": "<image>\nThis image shows a fact table describing a person named 'Alexander dulov', write a concise biography of this person based on the provided information."
},
{
"role": "assistant",
"content": "Alexander andreevich dulov (; may 15, 1931, moscow -- november 15, 2007) was a soviet and russian poet, songwriter, bard, and chemist."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-RCE_train_item_6515
|
[
{
"role": "user",
"content": "I need the data from these rows of the table, can you provide that?\nrow 10,\nrow 6,\n\nRepresent 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\"]}.\n<image>"
},
{
"role": "assistant",
"content": "The cell values of target rows are as follows:\nFor row 10: {\"row_id\": \"10\", \"cell_list\": ['9', 'kevin costner', 'dances with wolves', '1990', 'january 18 , 1955', 'march 25 , 1991']}\nFor row 6: {\"row_id\": \"6\", \"cell_list\": ['5', 'lewis milestone', 'all quiet on the western front', '1929 / 30', 'september 30 , 1895', 'november 5 , 1930']}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_4982
|
[
{
"role": "user",
"content": "Utilizing the data from the box-score and line-score tables of the NBA game featuring Timberwolves versus 76ers on 2015-11-23, craft a game report highlighting the key moments and statistics.\n<image>"
},
{
"role": "assistant",
"content": "The Minnesota Timberwolves (6-8) rallied late in order to defeat the Philadelphia 76ers (0-15) by a score of 100-95 on Monday night. The 76ers had the lead most of the game and it actually looked like this would be the night they would find their first win of the season. However, Andrew Wiggins had other plans, as he stepped it up huge in the late fourth quarter to propell his Timberwolves to the win. Jahlil Okafor had a great game for the 76ers and definitely out-matched rival rookie Karl-Anthony Towns. Okafor notched a double double with 25 points and 12 rebounds. He shot a strong 10-15 from the field and had two blocked shots. Towns was the only starter to score double digits but the 76ers got good production from their bench with three players scoring double digits. Robert Covington contributed 18 points, six rebounds and three steals, in 35 minutes. Isaiah Canaan finished with 14 points, going 5-5 from the free throw line but only 3-10 from the field. Hollis Thompson finished with 15 points and five rebounds on strong 6-10 shooting, including 3-7 from deep. The Timberwolves did not play a great game but were saved by their young star Andrew Wiggins. Wiggins scored 16 of his 32 points in the fourth quarter, including the go-ahead points, and was able to propell his team to the lead, after trailing by six midway through the fourth quarter. Wiggins shot 11-12 from the free throw line and chipped in six rebounds, three assists and two blocked shots. Ricky Rubio played well with 11 assists, eight points and six rebounds. Kevin Garnett grabbed a solid 10 rebounds and eight points on 4-5 shooting in 17 minutes, and was very effective as an energetic catalyst in his team 's comeback. Zach LaVine and Gorgui Dieng both added 12 points off the bench. Next up for Minnesota is a game Wednesday at home versus Atlanta. The 76ers will look for their first win Wednesday in Boston."
},
{
"role": "user",
"content": "The 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':(R1, C1), 'bottom-right':(R2, C2)}, where '(R1, C1)' and '(R2, C2)' 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": "This table does not contain any merged cells."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TABMWP_20945
|
[
{
"role": "user",
"content": "<image>\nWith the shown table image as your reference, carefully work out a detailed solution to the following question. Provide a concluding answer in a JSON structure, using the format {\"answer\": \"<YOUR ANSWER>\"}.\nTable title: Children's weights (lbs)\nQuestion: As part of a statistics project, a math class weighed all the children who were willing to participate. How many children weighed at least 30 pounds but less than 70 pounds?"
},
{
"role": "assistant",
"content": "Count all the leaves in the rows with stems 3, 4, 5, and 6.\n\nYou counted 14 leaves, which are blue in the stem-and-leaf plot above. 14 children weighed at least 30 pounds but less than 70 pounds.\n\nTherefore, the final answer is {\"answer\": \"14\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-HiTab_t2t_train_377
|
[
{
"role": "user",
"content": "Generate a sentence to describe the highlighted cells in this table whose title is 'cumulative frequency below and above selected growth rates, for incumbent (continuing) firms'.\n<image>"
},
{
"role": "assistant",
"content": "among job creators (firms with positive employment growth), 21.3% of firms with canadian-born owners."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TCR_train_item_5985
|
[
{
"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 id. Some cell values may not be contained in this table. If so, represent their locations as 'DOES NOT EXIST'.\n(1) '18 July – 4 August',\n(2) '10',\n(3) 'Squaw Valley, California',\n(4) '31',\n(5) '2015-16',\n(6) '13',\n(7) 'persepolis',\n(8) 'dinamo zagreb',"
},
{
"role": "assistant",
"content": "The target cell locations are as follows:\n(1) {'value': '18 July – 4 August', 'location': 'DOES NOT EXIST'}\n(2) {'value': '10', 'location': (8, 8)}\n(3) {'value': 'Squaw Valley, California', 'location': 'DOES NOT EXIST'}\n(4) {'value': '31', 'location': (8, 10)}\n(5) {'value': '2015-16', 'location': (6, 3)}\n(6) {'value': '13', 'location': (11, 10)}\n(7) {'value': 'persepolis', 'location': (8, 1)}\n(8) {'value': 'dinamo zagreb', 'location': (11, 1)}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TABMWP_17637
|
[
{
"role": "user",
"content": "Look at the table titled 'Fire hydrants' and methodically tackle the math problem that follows. In the last of your solution, output the final answer as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}.\nThe city recorded how many fire hydrants there are on each street. What is the mode of the numbers?\n<image>"
},
{
"role": "assistant",
"content": "Read the numbers from the table.\n\n3, 7, 3, 7, 3\n\nFirst, arrange the numbers from least to greatest:\n\n3, 3, 3, 7, 7\n\nNow count how many times each number appears.\n\n3 appears 3 times.\n7 appears 2 times.\n\nThe number that appears most often is 3.\n\nThe mode is 3.\n\nTherefore, the final answer is {\"answer\": \"3\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-WTQ_nt-8660
|
[
{
"role": "user",
"content": "<image>\nwhat is the total amount of games that the team won by more than 2 points?\nUsing the information from the table picture about '2005 Anaheim Storm season', provide a concise answer to the provided question. Return the result as JSON in the format {\"answer\": [<a list of answer strings>]}."
},
{
"role": "assistant",
"content": "Based on the table, the final answer is {\"answer\": ['2']}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-InfoTabs_train_2267
|
[
{
"role": "user",
"content": "<image>\nGiven a table as a premise, determine if it substantiates or opposes the following sentence. If the table information is not sufficient to give a conclusion, the sentence should be considered 'neutral'. Provide the final answer in the JSON structure, using the format {\"answer\": \"<YOUR ANSWER>\"}.\n\nSir Joseph Wilson Swan won a Nobel prize for his physics achievements."
},
{
"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\": \"neutral\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-InfoTabs_train_30
|
[
{
"role": "user",
"content": "Considering the following sentence 'Charles Francis Jenkins was born in the 19th century.' and using the table extracted from the wikipedia infobox as premise, please determine whether the table 'entails' or 'opposes' the above sentence. If the evidence in the table is not sufficient for a sound judgement, classify the sentence as 'neutral'. Provide the final answer in the JSON structure, using the format {\"answer\": \"<YOUR ANSWER>\"}.\n<image>"
},
{
"role": "assistant",
"content": "According to the table, the provided sentence is true. Therefore, the final answer is {\"answer\": \"entails\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-WTQ_nt-7508
|
[
{
"role": "user",
"content": "<image>\nThis is a table about 'Joan Rivers'. You are a table question answering model which directly provides the final answer to the question. Help me figure out the subsequent question. The final result should be presented in the JSON format of {\"answer\": [<a list of answer strings>]}.\nwhich year was joan rivers nominated for a tony award and what was the nominated work?"
},
{
"role": "assistant",
"content": "Based on the table, the final answer is {\"answer\": ['1994', 'Sally Marr...and her escorts']}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TCR_train_item_3289
|
[
{
"role": "user",
"content": "A table may have multiple cells. We can utilize the json format {'value': '<cell value>', 'location': (row index, column index)} to store a cell's positions in a table, where both row and column indices start from 1. I am providing you a table image. Please tell me the positions of the cells mentioned below using the above format. Should a cell be absent in the table, denote its location as 'DOES NOT EXIST'.\nValues to locate:\n(1) '51.76'\n(2) 'BSP'\n(3) 'Rubi Fatma'\n(4) '0.26'\n(5) '75,334'\n<image>"
},
{
"role": "assistant",
"content": "The coordinates of target cells are listed below.\n(1) {'value': '51.76', 'location': (2, 5)}\n(2) {'value': 'BSP', 'location': (4, 2)}\n(3) {'value': 'Rubi Fatma', 'location': (6, 3)}\n(4) {'value': '0.26', 'location': (7, 5)}\n(5) {'value': '75,334', 'location': (3, 4)}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_recognition_train_item_60603
|
[
{
"role": "user",
"content": "Recognize the table in this image and return an HTML-style reconstructed table in text.\n<image>"
},
{
"role": "assistant",
"content": "<table border='1' cellspacing='0'>\n<tr> <th> rank </th> <th> name </th> <th> country </th> <th> wins </th> <th> years </th> </tr>\n<tr> <td> 1 </td> <td> richard virenque </td> <td> france </td> <td> 7 </td> <td> 1994 , 1995 , 1996 , 1997 , 1999 , 2003 , 2004 </td> </tr>\n<tr> <td> 2 </td> <td> federico bahamontes </td> <td> spain </td> <td> 6 </td> <td> 1954 , 1958 , 1959 , 1962 , 1963 , 1964 </td> </tr>\n<tr> <td> 2 </td> <td> lucien van impe </td> <td> belgium </td> <td> 6 </td> <td> 1971 , 1972 , 1975 , 1977 , 1981 , 1983 </td> </tr>\n<tr> <td> 4 </td> <td> julio jimãnez </td> <td> spain </td> <td> 3 </td> <td> 1965 , 1966 , 1967 </td> </tr>\n<tr> <td> 5 </td> <td> felicien vervaecke </td> <td> belgium </td> <td> 2 </td> <td> 1935 , 1937 </td> </tr>\n<tr> <td> 5 </td> <td> gino bartali </td> <td> italy </td> <td> 2 </td> <td> 1938 , 1948 </td> </tr>\n<tr> <td> 5 </td> <td> fausto coppi </td> <td> italy </td> <td> 2 </td> <td> 1949 , 1952 </td> </tr>\n<tr> <td> 5 </td> <td> charly gaul </td> <td> luxembourg </td> <td> 2 </td> <td> 1955 , 1956 </td> </tr>\n<tr> <td> 5 </td> <td> imerio massignan </td> <td> italy </td> <td> 2 </td> <td> 1960 , 1961 </td> </tr>\n<tr> <td> 5 </td> <td> eddy merckx </td> <td> belgium </td> <td> 2 </td> <td> 1969 , 1970 </td> </tr>\n<tr> <td> 5 </td> <td> luis herrera </td> <td> colombia </td> <td> 2 </td> <td> 1985 , 1987 </td> </tr>\n<tr> <td> 5 </td> <td> claudio chiappucci </td> <td> italy </td> <td> 2 </td> <td> 1991 , 1992 </td> </tr>\n<tr> <td> 5 </td> <td> laurent jalabert </td> <td> france </td> <td> 2 </td> <td> 2001 , 2002 </td> </tr>\n<tr> <td> 5 </td> <td> michael rasmussen </td> <td> denmark </td> <td> 2 </td> <td> 2005 , 2006 </td> </tr>\n</table>"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TabFact_train_13554
|
[
{
"role": "user",
"content": "Based on the table image about '1932 boston braves (nfl) season' and the subsequent sentence, determine if the table confirms or contradicts the subsequent sentence. Output the final answer as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}.\nsentence: the record for the game on november 13 , 1932 week 9 was 2 - 3 - 2\n<image>"
},
{
"role": "assistant",
"content": "Taking into account the table information, the table contradicts the validity of the sentence. Therefore, the final answer: {\"answer\": \"contradicts\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-WTQ_nt-13402
|
[
{
"role": "user",
"content": "<image>\nLooking at the table picture concerning 'Polish Basketball League', what is the concise answer to the question posed below? The final result should be presented in the JSON format of {\"answer\": [<a list of answer strings>]}.\nnumber of years that had a shut out score"
},
{
"role": "assistant",
"content": "Based on the table, the final answer is {\"answer\": ['3']}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_33544
|
[
{
"role": "user",
"content": "Solve the problem according to the provided table image. Please provide detailed solution. At the end of your output, present the final answer as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}.\nTable title: Preferred break activities\nProblem: A survey asked office workers what they like to do when taking a break from work. What fraction of the respondents preferred sending text messages? Simplify your answer.\n<image>"
},
{
"role": "assistant",
"content": "Find how many respondents preferred sending text messages.\n\n180\n\nFind how many people responded in total.\n\n180 + 680 + 980 + 130 + 650 + 150 = 2,770\n\nDivide 180 by2,770.\n\n\\frac{180}{2,770}\n\nReduce the fraction.\n\n\\frac{180}{2,770} → \\frac{18}{277}\n\n\\frac{18}{277} of respondents preferred sending text messages.\n\nSo, the answer is {\"answer\": \"18/277\"}."
},
{
"role": "user",
"content": "Based on the given table, what are the contents of the subsequent rows or columns?\nthe 5th row\nthe 2nd column\nthe 7th row\n\nRequirements: Output 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 cell values of target rows or columns are as follows:\nFor the 5th row: {\"row_id\": \"5\", \"cell_list\": ['Making phone calls', '980']}\nFor the 2nd column: {\"column_id\": \"2\", \"cell_list\": ['Preferred break activities', 'Number of respondents', '180', '680', '980', '130', '650', '150']}\nFor the 7th row: {\"row_id\": \"7\", \"cell_list\": ['Having a snack', '650']}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TabFact_train_29116
|
[
{
"role": "user",
"content": "<image>\nTable title: weightlifting at the 2008 summer olympics - women 's + 75 kg\nsentence: snatch , clean & jerk , and total all were olympic records\nPlease distinguish whether the above sentence is confirmed or challenged by the table information. Output the final answer as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}."
},
{
"role": "assistant",
"content": "Utilizing the table as evidence, we can find that the sentence is true. So, the answer is {\"answer\": \"confirmed\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_30512
|
[
{
"role": "user",
"content": "<image>\nExamine the table in the provided image and generate an HTML text representation of the table."
},
{
"role": "assistant",
"content": "<table border=\"1\" cellspacing=\"0\">\n<tr> <th colspan=\"2\"> Finding seashells </th> </tr><tr> <th> Seashells found </th> <th> Frequency </th> </tr>\n<tr> <td> 0 </td> <td> 8 </td> </tr>\n<tr> <td> 1 </td> <td> 16 </td> </tr>\n<tr> <td> 2 </td> <td> 9 </td> </tr>\n<tr> <td> 3 </td> <td> 19 </td> </tr>\n<tr> <td> 4 </td> <td> 10 </td> </tr>\n<tr> <td> 5 </td> <td> 18 </td> </tr>\n</table>"
},
{
"role": "user",
"content": "Table title: Finding seashells\nQuestion: Cassie counted the total number of shells collected by her friends during a walk on the beach. How many people found at least 2 seashells?\nGive a detailed response to the above question. In the last of your solution, output the final answer as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}."
},
{
"role": "assistant",
"content": "Find the rows for 2, 3, 4, and 5 seashells. Add the frequencies for these rows.\n\nAdd:\n\n9 + 19 + 10 + 18 = 56\n\n56 people found at least 2 seashells.\n\nTherefore, the final answer is {\"answer\": \"56\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-ToTTo_train_item_4714
|
[
{
"role": "user",
"content": "<image>\nAnalyzing the Wikipedia table about 'List of tallest buildings in Cleveland' and detailed metadata, your task is to describe the contents of the highlighted cells in a succinct sentence."
},
{
"role": "assistant",
"content": "The 355 foot-tall Beacon apartment building downtown on Euclid Avenue is one of the tallest building in Cleveland."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_26657
|
[
{
"role": "user",
"content": "<image>\nExamine whether the table substantiates or opposes the subsequent hypothesis. Show your final answer in the JSON format {\"answer\": \"<YOUR ANSWER>\"}.\ntable title: 'zina garrison'\nhypothesis: the score of the match was 6 - 1 , 7 - 6 (3) with the opponents of anne hobbs and andrew castle"
},
{
"role": "assistant",
"content": "Taking into account the table information, the table opposes the validity of the hypothesis. Therefore, the final answer: {\"answer\": \"opposes\"}."
},
{
"role": "user",
"content": "Examine the table titled 'zina garrison' and judge whether the table affirms or refutes the following hypothesis. Show your final answer in the JSON format {\"answer\": \"<YOUR ANSWER>\"}.\nwhen jim pugh was the partner , the score was 4 - 6 , 6 - 2 , 6 - 3"
},
{
"role": "assistant",
"content": "Based on the table data, we can affirm the truth of the hypothesis. Consequently, the answer is {\"answer\": \"affirms\"}."
},
{
"role": "user",
"content": "According to the information in the given table regarding 'zina garrison', tell me whether the hypothesis is substantiated or disproved by the table. Present the final answer in a JSON format {\"answer\": \"<YOUR ANSWER>\"} like {\"answer\": \"entailed\"}.\njim pugh was the partner with a score of 4 - 6 , 6 - 2 , 6 - 3"
},
{
"role": "assistant",
"content": "Utilizing the table as evidence, we can find that the hypothesis is true. So, the answer is {\"answer\": \"substantiated\"}."
},
{
"role": "user",
"content": "Give you a table picture about 'zina garrison', determine whether the following sentence is supported or refuted by the table's content. Format your final answer as a JSON, using the structure {\"answer\": \"<YOUR ANSWER>\"}.\n\none match at wimbledon resulted in the score : 3 - 6 , 7 - 6 (5) , 6 - 3"
},
{
"role": "assistant",
"content": "Based on the table information, the sentence is not true. Thus, the answer is {\"answer\": \"refuted\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-MCD_train_item_6777
|
[
{
"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':(X1, Y1), 'bottom-right':(X2, Y2)}. The row id and column id should 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, 4)}\n{'top-left':(1, 5), 'bottom-right':(1, 7)}\n{'top-left':(1, 8), 'bottom-right':(2, 8)}\n{'top-left':(1, 9), 'bottom-right':(2, 9)}\n{'top-left':(1, 10), 'bottom-right':(2, 10)}\n{'top-left':(1, 11), 'bottom-right':(2, 11)}\n{'top-left':(3, 9), 'bottom-right':(3, 10)}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TABMWP_16551
|
[
{
"role": "user",
"content": "Show the detailed solution to solve the following problem. Provide a concluding answer in a JSON structure, using the format {\"answer\": \"<YOUR ANSWER>\"}. The problem is related to the given table titled 'Pages per magazine'.\n\nProblem: Evelyn, a journalism student, counted the number of pages in several major magazines. How many magazines had exactly 58 pages? (Unit: magazines)\n<image>"
},
{
"role": "assistant",
"content": "For the number 58, the stem is 5, and the leaf is 8. Find the row where the stem is 5. In that row, count all the leaves equal to 8.\n\nYou counted 1 leaf, which is blue in the stem-and-leaf plot above. 1 magazine had exactly 58 pages.\n\nThus, the final answer is {\"answer\": \"1\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-FeTaQA_21253
|
[
{
"role": "user",
"content": "Answer the provided question based on the table regarding '2017 Copa del Rey de Baloncesto' with the title 'Baskonia vs. Real Madrid'.\nQuestion: How many spectators attended the 2017 Copa del Rey de Baloncesto semi-final match between Baskonia and Real Madrid, and when did the match take place?\n<image>"
},
{
"role": "assistant",
"content": "The 18 February 2017 Copa del Rey match between Baskonia and Real Madrid began at 18:30 (CET) and had 15,465 spectators."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-FeTaQA_13772
|
[
{
"role": "user",
"content": "Examine the table about 'Meadows Frisky' with the title 'Specifications', answer the ensuing question in detail.\nWhat is the size of the engine in the meadoes Frisky?\n<image>"
},
{
"role": "assistant",
"content": "Meadows Frisky has a Villiers engine of 324 cc."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TABMWP_29217
|
[
{
"role": "user",
"content": "<image>\nAccording to the table titled 'Tickets sold', solve this problem and give detail solutions. At the end of your output, present the final answer as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}.\n\nThe aquarium's records showed how many tickets were sold in the past 5 days. What is the mode of the numbers?"
},
{
"role": "assistant",
"content": "Read the numbers from the table.\n\n88, 93, 88, 93, 93\n\nFirst, arrange the numbers from least to greatest:\n\n88, 88, 93, 93, 93\n\nNow count how many times each number appears.\n\n88 appears 2 times.\n93 appears 3 times.\n\nThe number that appears most often is 93.\n\nThe mode is 93.\n\nThus, the final answer is {\"answer\": \"93\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TabFact_train_11569
|
[
{
"role": "user",
"content": "Analyze this table picture about 'stefan effenberg' and classify whether the given table affirms or opposes the sentence. Return the result as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}, e.g., {\"answer\": \"deputed\"}.\n\nthe listed score for 15 june 1992 is 2 - 0 and it took place at idrottsparken , norrköping , sweden\n<image>"
},
{
"role": "assistant",
"content": "Considering the information from the table, it affirms the sentence. So, the answer is {\"answer\": \"affirms\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_5395
|
[
{
"role": "user",
"content": "<image>\nIn this task, you are given a table with its title '2009 open championship', your goal is to distinguish whether this table supports or disproves the hypothesis. Show your final answer in the JSON format {\"answer\": \"<YOUR ANSWER>\"}.\naustralia 's player , mathew goggin , has 157000"
},
{
"role": "assistant",
"content": "The evidence provided by the table indicates that it supports the hypothesis. Hence, the answer is {\"answer\": \"supports\"}."
},
{
"role": "user",
"content": "Presented with a table with the title '2009 open championship', distinguish whether the table affirms or conflicts with the following statement. Provide the final answer in the JSON structure, using the format {\"answer\": \"<YOUR ANSWER>\"}.\nstatement: 281 was the date which has a money of 90400 , and a country of south africa , and a player of thomas aiken"
},
{
"role": "assistant",
"content": "Based on the table, the statement can not hold true. Thus, the final answer is {\"answer\": \"conflicts with\"}."
},
{
"role": "user",
"content": "Examine the table with the caption '2009 open championship', classify whether the provided table affirms or disproves the claim. Return the result as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}, e.g., {\"answer\": \"deputed\"}.\nclaim: player of thomas aiken watson was in t1"
},
{
"role": "assistant",
"content": "Based on the table, the claim can not hold true. Thus, the final answer is {\"answer\": \"disproves\"}."
},
{
"role": "user",
"content": "Analyze the table's content, including its title '2009 open championship', and determine whether the table entails or challenges the given hypothesis. Your final answer should be in the JSON structure, formatted as {\"answer\": \"<YOUR ANSWER>\"}.\nhypothesis: the country of south africa , with player thomas aiken , had a score of 281 and 90400 money ( )"
},
{
"role": "assistant",
"content": "Based on the table data, we can affirm the truth of the hypothesis. Consequently, the answer is {\"answer\": \"entails\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-WTQ_ns-247
|
[
{
"role": "user",
"content": "Scrutinize the table image about 'Harvey County, Kansas' and show your answer to the question detailed below. Output the answer as JSON in the format {\"answer\": [<a list of answer strings>]} such as {\"answer\": [\"answer_1\", \"answer_2\", \"answer_3\"]}.\nQuestion: compared to darlington which city has the next largest water percent?\nAnswer: \n<image>"
},
{
"role": "assistant",
"content": "According to the table, the answer is {\"answer\": ['Burrton']}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-MCD_train_item_7945
|
[
{
"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": "The merged cell area is: {'top-left':(1, 1), 'bottom-right':(1, 2)}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_15789
|
[
{
"role": "user",
"content": "<image>\nExamine the table with the caption 'list of a1 grand prix seasons', classify whether the provided table supports or challenges the claim. Format your final answer as a JSON, using the structure {\"answer\": \"<YOUR ANSWER>\"}.\nclaim: the zytek engine had more than 11 rounds and teams of 25"
},
{
"role": "assistant",
"content": "Based on the table, the claim can not hold true. Thus, the final answer is {\"answer\": \"challenges\"}."
},
{
"role": "user",
"content": "Read the shown table in this image and give me the reconstructed table in the markdown text format."
},
{
"role": "assistant",
"content": "| season | chassis | engine | tyres | rounds | teams | drivers | champion (points) | second (points) | third (points) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2005 - 06 | lola | zytek | cooper avon | 11 | 25 | 58 | france (172) | switzerland (121) | great britain (97) |\n| 2006 - 07 | lola | zytek | cooper avon | 11 | 24 | 61 | germany (128) | new zealand (93) | great britain (92) |\n| 2007 - 08 | lola | zytek | cooper avon | 10 | 22 | 46 | switzerland (168) | new zealand (127) | great britain (126) |\n| 2008 - 09 | a1 gp | ferrari | michelin | 7 | 21 | 35 | ireland (112) | switzerland (95) | portugal (92) |\n| 2009 - 10 | season cancelled | season cancelled | season cancelled | season cancelled | season cancelled | season cancelled | season cancelled | season cancelled | season cancelled |"
},
{
"role": "user",
"content": "Analyze the table's content, including its title 'list of a1 grand prix seasons', and determine whether the given claim is affirmed or opposed by the table information. Your final answer should be in the JSON structure, formatted as {\"answer\": \"<YOUR ANSWER>\"}.\nclaim: the teams for third points of season is great britain in the 2008 - 09 season"
},
{
"role": "assistant",
"content": "Based on the table information, the claim is not true. Thus, the answer is {\"answer\": \"opposed\"}."
},
{
"role": "user",
"content": "According to the information in the given table regarding 'list of a1 grand prix seasons', tell me whether the hypothesis is substantiated or refuted by the table. Return the result as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}, e.g., {\"answer\": \"deputed\"}.\nthe 2009 - 10 season was cancelled , so no information is available"
},
{
"role": "assistant",
"content": "Based on the table information, the hypothesis is true. Thus, the answer is {\"answer\": \"substantiated\"}."
},
{
"role": "user",
"content": "Presented with a table with the title 'list of a1 grand prix seasons', distinguish whether the table supports or refutes the following claim. Your final answer should be in the JSON structure, formatted as {\"answer\": \"<YOUR ANSWER>\"}.\nclaim: the zytek engine went 11 rounds and had 25 teams"
},
{
"role": "assistant",
"content": "Taking into account the table information, the table supports the validity of the claim. Therefore, the final answer: {\"answer\": \"supports\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_972
|
[
{
"role": "user",
"content": "<image>\nExamine the table with the caption 'none', classify whether the provided table confirms or contradicts the hypothesis. Your final answer should be in the JSON structure, formatted as {\"answer\": \"<YOUR ANSWER>\"}.\nhypothesis: the opponent for the 11 / 25 / 1979 game was boston bruins"
},
{
"role": "assistant",
"content": "The evidence provided by the table indicates that it contradicts the hypothesis. Hence, the answer is {\"answer\": \"contradicts\"}."
},
{
"role": "user",
"content": "According to the table information regarding 'none', tell me whether the provided table substantiates or disputes the hypothesis. Output the final answer as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}.\nthe edmonton oilers were the opponent and had a record of 8 - 9 - 2 in games larger than 15"
},
{
"role": "assistant",
"content": "Taking into account the table information, the table substantiates the validity of the hypothesis. Therefore, the final answer: {\"answer\": \"substantiates\"}."
},
{
"role": "user",
"content": "In this task, you are given a table with its title 'none', your goal is to distinguish whether this table upholds or challenges the claim. Format your final answer as a JSON, using the structure {\"answer\": \"<YOUR ANSWER>\"}.\ngame 15 held on 11 / 18 / 1979 with buffalo sabres as opponents had a score of 3 - 5"
},
{
"role": "assistant",
"content": "Considering the information from the table, it challenges the claim. So, the answer is {\"answer\": \"challenges\"}."
},
{
"role": "user",
"content": "Examine the table image with the title 'none', classify whether the hypothesis is substantiated or opposed based on the table's content and title. Return the result as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}, e.g., {\"answer\": \"deputed\"}.\nhypothesis: the edmonton oilers had a record of 7 - 7 - 1 as opponents"
},
{
"role": "assistant",
"content": "Utilizing the table as evidence, we can find that the hypothesis is true. So, the answer is {\"answer\": \"substantiated\"}."
},
{
"role": "user",
"content": "I need you to conduct the following task:\nGiven this table image, find all merged table cells and return merged regions with the JSON {'top-left':(X1, Y1), 'bottom-right':(X2, Y2)}, where (X1, Y1) and (X2, Y2) indicate the (row_id, column_id) of top-left and bottom-right cells in the merged regions, respectively. You should remember that row id and column id start from 1."
},
{
"role": "assistant",
"content": "This table does not contain any merged cells."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TCR_train_item_4184
|
[
{
"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_ID, Column_ID)}, with both row IDs and column IDs start from 1. Should a cell be absent in the table, denote its location as 'DOES NOT EXIST'.\nCell values are shown below:\nCELL VALUE 1: '1957',\nCELL VALUE 2: '85480',\nCELL VALUE 3: 'information',\nCELL VALUE 4: '1965',\nCELL VALUE 5: 'Line 3',\nCELL VALUE 6: '4136',\nCELL VALUE 7: '14201',\nCELL VALUE 8: '25,000 or more',\nCELL VALUE 9: 'other 31-33',\nCELL VALUE 10: 'Sakura-dōri Line',\nCELL VALUE 11: '5112',\nCELL VALUE 12: '8381',\nCELL VALUE 13: '5-24',"
},
{
"role": "assistant",
"content": "The target cell locations are as follows:\nCELL LOCATION 1: {'value': '1957', 'location': 'DOES NOT EXIST'}\nCELL LOCATION 2: {'value': '85480', 'location': (9, 3)}\nCELL LOCATION 3: {'value': 'information', 'location': (21, 1)}\nCELL LOCATION 4: {'value': '1965', 'location': 'DOES NOT EXIST'}\nCELL LOCATION 5: {'value': 'Line 3', 'location': 'DOES NOT EXIST'}\nCELL LOCATION 6: {'value': '4136', 'location': (14, 4)}\nCELL LOCATION 7: {'value': '14201', 'location': (26, 4)}\nCELL LOCATION 8: {'value': '25,000 or more', 'location': (38, 1)}\nCELL LOCATION 9: {'value': 'other 31-33', 'location': (18, 2)}\nCELL LOCATION 10: {'value': 'Sakura-dōri Line', 'location': 'DOES NOT EXIST'}\nCELL LOCATION 11: {'value': '5112', 'location': (22, 2)}\nCELL LOCATION 12: {'value': '8381', 'location': (30, 3)}\nCELL LOCATION 13: {'value': '5-24', 'location': (29, 1)}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-ToTTo_train_item_1720
|
[
{
"role": "user",
"content": "Taking into account the Wikipedia table for '2010 St Helens Metropolitan Borough Council election' and its related metadata, distill the information of the highlighted cells into one well-crafted sentence.\n<image>"
},
{
"role": "assistant",
"content": "The seat was held for Labour by Anthony Burns with a majority of 694 votes over Liberal Democrat Eric Sheldon."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-RCE_train_item_6386
|
[
{
"role": "user",
"content": "Retrieve the cell contents in row 6 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\"]}.\n<image>"
},
{
"role": "assistant",
"content": "The target cell values of row 6: {\"row_id\": \"6\", \"cell_list\": ['Medical and Other Benefits', '-', '-', '-', '-']}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TABMWP_2500
|
[
{
"role": "user",
"content": "Solve this problem according to the provided picture in a step-wise manner. The concluding answer should be in the JSON structure, formatted as {\"answer\": \"<YOUR ANSWER>\"}.\nLook at the table. Then answer the question. At a price of $370, is there a shortage or a surplus? (A) shortage (B) surplus\n<image>"
},
{
"role": "assistant",
"content": "At the price of $370, the quantity demanded is less than the quantity supplied. There is too much of the good or service for sale at that price. So, there is a surplus.\n\n\nTherefore, the final answer is {\"answer\": \"surplus\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-WTQ_nt-1482
|
[
{
"role": "user",
"content": "Observe the table screenshot about List of United States federal courthouses in Mississippi and succinctly answer the question that follows. Show your answer in the JSON format {\"answer\": [<a list of answer strings>]}.\nhow many cities have more than one courthouse listed?\n<image>"
},
{
"role": "assistant",
"content": "Using the table as reference, the answer is {\"answer\": ['8']}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-WTQ_nt-13768
|
[
{
"role": "user",
"content": "<image>\nAnswer the following question in brief based on the table titled '2010 Quick Step season'. Your answer should be in the JSON structure, formatted as {\"answer\": [<a list of answer strings>]}. For instance, {\"answer\": [\"America\", \"20\"]}.\nhow many times was tom boonen listed as the rider?"
},
{
"role": "assistant",
"content": "Using the table as reference, the answer is {\"answer\": ['4']}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TabFact_train_1882
|
[
{
"role": "user",
"content": "Table title: list of widows and widowers\nstatement: stella farentino 's current relationship status is single\nPlease distinguish whether the above statement is confirmed or refuted by the table information. The final result should be presented in the JSON format of {\"answer\": \"<YOUR ANSWER>\"}.\n<image>"
},
{
"role": "assistant",
"content": "Taking into account the table information, we can confirm the validity of the statement. Hence, the answer is {\"answer\": \"confirmed\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TCR_train_item_4488
|
[
{
"role": "user",
"content": "<image>\nYour task:\nLook at the table image, determine the locations of the following cells. A cell's location MUST be represented as a json structure {'value': '<cell value>', 'location': (row_id, column_id)}, with row and column id beginning from 1. If a cell does not exist in the table, denote its location as 'DOES NOT EXIST'.\nTarget cells:\n(1) 'yds'\n(2) 'vaino siikaniemi'\n(3) '2,443'\n(4) '18'\n(5) 'karl halt'\n(6) '22nd'\n(7) '16'\n(8) '362'\n(9) '18th'\n(10) '528'\n(11) '21'"
},
{
"role": "assistant",
"content": "The target cell locations are as follows:\n(1) {'value': 'yds', 'location': 'DOES NOT EXIST'}\n(2) {'value': 'vaino siikaniemi', 'location': (8, 2)}\n(3) {'value': '2,443', 'location': 'DOES NOT EXIST'}\n(4) {'value': '18', 'location': (21, 1)}\n(5) {'value': 'karl halt', 'location': (25, 2)}\n(6) {'value': '22nd', 'location': (25, 6)}\n(7) {'value': '16', 'location': (19, 1)}\n(8) {'value': '362', 'location': 'DOES NOT EXIST'}\n(9) {'value': '18th', 'location': (21, 6)}\n(10) {'value': '528', 'location': 'DOES NOT EXIST'}\n(11) {'value': '21', 'location': (24, 1)}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_9966
|
[
{
"role": "user",
"content": "For the cells in row 4 of this table, provide their contents. Show the cells in a row in the JSON format {\"row_id\":\"<row index>\", \"cell_list\":\"<a list of cells in this row>\"}. For example, {\"row_id\":\"1\", \"cell_list\": [\"A\", \"B\", \"C\"]}.\n<image>"
},
{
"role": "assistant",
"content": "The target cell values of row 4: {\"row_id\": \"4\", \"cell_list\": ['2001', 'California', '34–25', '14–10', '4th', 'NCAA Regional']}"
},
{
"role": "user",
"content": "Considering the information presented in the table on 'David Esquer' with the title 'Head coaching record', what is your answer to the following question.\n How many seasons did David Esquer coach the Golden Bears, and what was his overall record with the school?"
},
{
"role": "assistant",
"content": "In his 18 seasons with the Golden Bears, Esquer recorded 525–467–2 (.529)."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TABMWP_8409
|
[
{
"role": "user",
"content": "Math word problem: How much money does Kiara need to buy 6 pieces of licorice? (Unit: $)\n\nShow your detailed solution with the final answer in the JSON format {'answer': '<YOUR ANSWER>'}.\n<image>"
},
{
"role": "assistant",
"content": "Find the total cost of 6 pieces of licorice by multiplying 6 times the price of a piece of licorice.\n\n$0.18 × 6 = $1.08\n\nKiara needs $1.08.\n\nThus, the final answer is {\"answer\": \"1.08\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TSR_train_item_6171
|
[
{
"role": "user",
"content": "<image>\nCould you calculate the row number and column number in this table? Present the final answer in a JSON format {\"row_number\": \"m\", \"column_number\": \"n\"} such as {\"row_number\": \"2\", \"column_number\": \"3\"}."
},
{
"role": "assistant",
"content": "This table has 15 rows and 6 columns. Thus, the final answer is {\"row_number\": \"15\", \"column_number\": \"6\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_23302
|
[
{
"role": "user",
"content": "Based on the 'Summary of raiding History' table regarding 'German submarine U-60 (1939)'. Answer this question: How destructive is U-60?\n<image>"
},
{
"role": "assistant",
"content": "U-60 sank three ships for a total of 7,561 GRT and damaged another one of 15,434 GRT."
},
{
"role": "user",
"content": "I need the data from these columns of the table, can you provide that?\nthe 5th column,\nthe 3rd column,\n\nProvide 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>\"}."
},
{
"role": "assistant",
"content": "The cell values of target columns are as follows:\nFor the 5th column: {\"column_id\": \"5\", \"cell_list\": ['Fate', 'Sunk (Mine)', 'Sunk', 'Damaged', 'Sunk']}\nFor the 3rd column: {\"column_id\": \"3\", \"cell_list\": ['Nationality', 'United Kingdom', 'Sweden', 'Netherlands', 'United Kingdom']}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_23085
|
[
{
"role": "user",
"content": "From the provided table image, locate any cells that are merged and list their areas as {'top-left':(X1, Y1), 'bottom-right':(X2, Y2)}, with (X1, Y1) indicating the (row_id, column_id) of top-left cell and (X2, Y2) 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':(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':(8, 1)}\n{'top-left':(8, 2), 'bottom-right':(8, 3)}\n{'top-left':(9, 1), 'bottom-right':(12, 1)}\n{'top-left':(12, 2), 'bottom-right':(12, 3)}\n{'top-left':(14, 1), 'bottom-right':(14, 3)}."
},
{
"role": "user",
"content": "paul atkinson began his career at sunderland, which division did he play in the 1987-88?\nGive me a concise answer based on the given table about 'statistics'. Present the final answer in a JSON format {\"answer\": [<a list of answer strings>]} like {\"answer\": [\"2.27\", \"41.4\"]}."
},
{
"role": "assistant",
"content": "According to this excel table, the final answer is {\"answer\": [\"third division\"]}."
},
{
"role": "user",
"content": "Find the 10th row in this table and extract its cells' values. Provide the cells in a row in the JSON structure, using the format {\"row_id\":\"<row index>\", \"cell_list\":\"<a list of cells in this row>\"}."
},
{
"role": "assistant",
"content": "The cells in the 10th row: {\"row_id\": \"10\", \"cell_list\": ['', '1989-90', 'second division', '0', '0', '0', '0', '0', '0', '0', '0']}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-Rotowire_train_item_2698
|
[
{
"role": "user",
"content": "Taking into account the statistical tables from the NBA match between Nuggets and Thunder on 02/09/2015, how would you describe the game in a comprehensive summary that highlights its significant events and outcomes?\n<image>"
},
{
"role": "assistant",
"content": "The Oklahoma City Thunder (27-25) beat the Denver Nuggets (19-33), 124-114, on Monday. Kevin Durant had his second-best scoring performance of the season with 40 points on 13-of-19 from the field. Russell Westbrook added 26 points with five rebounds and nine assists. Starting in place of Steven Adams, who recently had surgery on his fractured hand, Kendrick Perkins played 20 minutes, recording four points and two rebounds. Mitch McGary followed up his 19-point, 10-rebound performance from Sunday with 17 points and 10 rebounds. He did n't play more than 25 minutes in either game but could be a force going forward with Perkins underproducing and Adams out for a few weeks. The Nuggets are slipping fast. They are 1-13 since winning five straight in early January. Kenneth Faried put up 22 points and 10 rebounds, but it was n't nearly enough to overcome Durant 's hot shooting night. Jusuf Nurkic had 16 points, 14 rebounds and two steals. Denver was without JaVale McGee (illness) and Jameer Nelson (Achilles), who were both questionable going into Monday 's game. The Nuggets are now nine-and-a-half games back from the final playoff spot in the Western Conference. The Thunder will take on the Grizzlies in Memphis on Wednesday, while the Nuggets will travel to Los Angeles to play the Lakers on Tuesday."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_21000
|
[
{
"role": "user",
"content": "Examine the table titled 'east gloucestershire (uk parliament constituency)' and judge whether the table upholds or disproves the following sentence. Your final answer should be in the JSON structure, formatted as {\"answer\": \"<YOUR ANSWER>\"}.\nsir christoper william codrington was the 1st member for only one year , in 1864\n<image>"
},
{
"role": "assistant",
"content": "The evidence provided by the table indicates that it disproves the sentence. Hence, the answer is {\"answer\": \"disproves\"}."
},
{
"role": "user",
"content": "Examine the table titled 'east gloucestershire (uk parliament constituency)' and judge whether the table affirms or disputes the following sentence. Show your final answer in the JSON format {\"answer\": \"<YOUR ANSWER>\"}.\nthe final election was on 1872 , 11 march"
},
{
"role": "assistant",
"content": "Based on the table, the sentence holds true. Thus, the final answer is {\"answer\": \"affirms\"}."
},
{
"role": "user",
"content": "Analyze the table's content, including its title 'east gloucestershire (uk parliament constituency)', and determine whether the table entails or refutes the given claim. Show your final answer in the JSON format {\"answer\": \"<YOUR ANSWER>\"}.\nclaim: whig was the 2nd party in four cases"
},
{
"role": "assistant",
"content": "The evidence provided by the table indicates that it refutes the claim. Hence, the answer is {\"answer\": \"refutes\"}."
},
{
"role": "user",
"content": "Examine whether the subsequent sentence is affirmed or challenged by the given table titled 'east gloucestershire (uk parliament constituency)'. Provide the final answer in the JSON structure, using the format {\"answer\": \"<YOUR ANSWER>\"}.\ntwo elections took place in the month of december"
},
{
"role": "assistant",
"content": "Utilizing the table as evidence, we can find that the sentence is true. So, the answer is {\"answer\": \"affirmed\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_instructV_multi_round_7714
|
[
{
"role": "user",
"content": "Begin with the sentence 'Men's road time trial at the Games of the XXXI Olympiad winning time is about 1 hour 15 minutes' and analyze the table to decide whether it 'entails' or 'challenges' the above sentence. If only using the table information is not sufficient to give a final conclusion, label the sentence 'not sure'. Present the final answer in a JSON format {\"answer\": \"<YOUR ANSWER>\"} like {\"answer\": \"entailed\"}.\n<image>"
},
{
"role": "assistant",
"content": "According to the table, the sentence may or may not be true. So, the answer is {\"answer\": \"not sure\"}."
},
{
"role": "user",
"content": "Using the given table, determine if the sentence is affirmed or 'opposed'. If the table does not provide sufficient information, the answer should be 'neutral'. Show your final answer in the JSON format {\"answer\": \"<YOUR ANSWER>\"}.\nSome nations send several athletes to compete at the Men's road time trial."
},
{
"role": "assistant",
"content": "According to the table, the sentence is affirmed by the table. Therefore, the final answer is {\"answer\": \"affirmed\"}."
},
{
"role": "user",
"content": "Begin with the statement 'Pontal is the largest venue in Rio De Janeiro for the road time trial.' and analyze the table to decide whether it 'affirms' or 'refutes' the above statement. If only using the table information is not sufficient to give a final conclusion, label the statement 'not sure'. Output the final answer as JSON in the format {\"answer\": \"<YOUR ANSWER>\"}."
},
{
"role": "assistant",
"content": "Based on the table information, we can not determine whether the statement is true or false. Thus, the answer is {\"answer\": \"not sure\"}."
},
{
"role": "user",
"content": "Refer to the table to decide if the following hypothesis is substantiated, disproved by the given table, or if unclear, regard it as 'neutral'. Your final answer should be in the JSON structure, formatted as {\"answer\": \"<YOUR ANSWER>\"}.\nThe Men's road time trial at the Games of the XXXI Olympiad was over 30 miles long. "
},
{
"role": "assistant",
"content": "Using the table as reference, the hypothesis is true. So, the final answer is {\"answer\": \"substantiated\"}."
},
{
"role": "user",
"content": "Men's road time trial at the Games of the XXXI Olympiad hav competitors from more than 30 nations\n Does the provided table 'entails' or 'disproves' the above sentence? Should we classify it as 'not enough information' if there is no enough information? Show your final answer in the JSON format {\"answer\": \"<YOUR ANSWER>\"}."
},
{
"role": "assistant",
"content": "According to the table, the provided sentence is false. Therefore, the final answer is {\"answer\": \"disproves\"}."
},
{
"role": "user",
"content": "Give you a table extracted from wikipedia infobox, determine whether the following sentence is 'entailed' or 'challenged' by the table. If the table does not provide enough evidence for the sentence, then output 'not enough information' as the answer. Format your final answer as a JSON, using the structure {\"answer\": \"<YOUR ANSWER>\"}.\nThe Men's road time trial at the Games of the XXXI Olympiad had people competing from the United States. "
},
{
"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": "In this task, you are given a table image and a sentence. You need to determine whether the table supports or opposes the sentence. The sentence should be considered 'neutral' if it may or may not be true. The final result should be presented in the JSON format of {\"answer\": \"<YOUR ANSWER>\"}.\n\nThe winner of the Men's road time trial in 2016 finished the race in under 70 minutes."
},
{
"role": "assistant",
"content": "Using the table as reference, the table opposes the sentence. Thus, the final answer is {\"answer\": \"opposes\"}."
},
{
"role": "user",
"content": "The Men's road time trial at the Games of the XXXI Olympiad took over two hours to win.\n Review the table as a premise and decide if it entails or contradicts the above statement. Classify the statement as 'neutral' if the table information is not enough for a final conclusion. Show your final answer in the JSON format {\"answer\": \"<YOUR ANSWER>\"}."
},
{
"role": "assistant",
"content": "Using the table as reference, the table contradicts the statement. Thus, the final answer is {\"answer\": \"contradicts\"}."
},
{
"role": "user",
"content": "claim: Men's road time trial at the Games of the XXXI Olympiad has 40 competitors from 30 nations\nIs the above claim 'upheld' or 'challenged' by the information in the table, or should we consider the claim as 'not enough information' if it may or may not be true? Show your final answer in the JSON format {\"answer\": \"<YOUR ANSWER>\"}."
},
{
"role": "assistant",
"content": "Based on the table information, the given claim is upheld by the table. Thus, the answer is {\"answer\": \"upheld\"}."
},
{
"role": "user",
"content": "Given the table image, tell me the locations of the subsequent table cells. Represent the cell location with JSON {'value': '<cell value>', 'location': (row index, column index)} where both Row indices and Column indices begin from 1.\n(1) 'Competitors';\n(2) 'Venue';\n(3) 'Winning time';\n(4) '10 August 2016';\n(5) 'Introduced';\n(6) '1:12:15.42';\n(7) 'Pontal, Rio de Janeiro 54.5 km (33.9 mi)';\n(8) 'Men's road time trial at the Games of the XXXI Olympiad';\n(9) '40 from 30 nations';\n(10) 'India';\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.\n(1) {'value': 'Competitors', 'location': (4, 1)}\n(2) {'value': 'Venue', 'location': (2, 1)}\n(3) {'value': 'Winning time', 'location': (5, 1)}\n(4) {'value': '10 August 2016', 'location': (3, 2)}\n(5) {'value': 'Introduced', 'location': 'DOES NOT EXIST'}\n(6) {'value': '1:12:15.42', 'location': (5, 2)}\n(7) {'value': 'Pontal, Rio de Janeiro 54.5 km (33.9 mi)', 'location': (2, 2)}\n(8) {'value': 'Men's road time trial at the Games of the XXXI Olympiad', 'location': (1, 1)}\n(9) {'value': '40 from 30 nations', 'location': (4, 2)}\n(10) {'value': 'India', 'location': 'DOES NOT EXIST'}"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TABMWP_12507
|
[
{
"role": "user",
"content": "How much money does Tony need to buy 2 telephones and 9 computer printers? (Unit: $)\n\nSolve the above problem using the table information. The final result should be presented in the JSON format of {\"answer\": \"<YOUR ANSWER>\"}.\n<image>"
},
{
"role": "assistant",
"content": "Find the cost of 2 telephones.\n\n$35.34 × 2 = $70.68\n\nFind the cost of 9 computer printers.\n\n$97.81 × 9 = $880.29\n\nNow find the total cost.\n\n$70.68 + $880.29 = $950.97\n\nTony needs $950.97.\n\nTherefore, the final answer is {\"answer\": \"950.97\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-TabFact_train_25777
|
[
{
"role": "user",
"content": "Presented with a table with the title 'al herman', distinguish whether the table confirms or disproves the following sentence. Show your final answer in the JSON format {\"answer\": \"<YOUR ANSWER>\"}.\nsentence: the start in year 1957 is equal to the start in year 1959\n<image>"
},
{
"role": "assistant",
"content": "Based on the table data, we can find that the sentence is false. Consequently, the answer is {\"answer\": \"disproves\"}."
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
|
mmtab-table_recognition_train_item_43368
|
[
{
"role": "user",
"content": "<image>\nWatch the table in this image and convert it into an HTML table in the text form."
},
{
"role": "assistant",
"content": "<table border='1' cellspacing='0'>\n<tr> <th> Year </th><th> Title </th><th> Role </th><th> Notes </th><th> Ref. </th></tr>\n<tr> <td> 2014 </td><td> Moon Embracing the Sun </td><td> Heo Yeon-woo </td><td colspan=1 rowspan=3 > Lead role </td><td> </td></tr>\n<tr> <td> 2015 </td><td> Gone with the Wind </td><td> Scarlett O'Hara </td><td> </td></tr>\n<tr> <td> 2016 </td><td> Mamma Mia! </td><td> Sophie Sheridan </td><td> </td></tr>\n</table>"
}
] |
{
"language": "en",
"source": "mmtab",
"task": null
}
|
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