| {"Table": {"columns": ["( $ in millions except per share amounts )", "year ended december 31 2017", "year ended december 31 2016", "year ended december 31 2015", "year ended december 31 2014", "year ended december 31 2013"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], "data": [["sales and service revenues", "$ 7664", "$ 7280", "$ 7231", "$ 7166", "$ 7025"], ["goodwill impairment", "2014", "2014", "77", "48", "2014"], ["operating income ( loss )", "891", "884", "792", "675", "527"], ["net earnings ( loss )", "493", "590", "416", "348", "269"], ["total assets", "6565", "6543", "-", "6426", "6376"], ["long-term debt ( 1 )", "1317", "1316", "1311", "1609", "1715"], ["total long-term obligations", "3322", "-", "-", "3669", "3375"], ["net cash provided by ( used in ) operating activities", "838", "847", "887", "778", "268"], ["free cash flow ( 2 )", "466", "553", "693", "608", "125"], ["dividends declared per share", "$ 2.60", "$ 2.16", "$ 1.75", "$ 1.03", "$ 0.52"], ["basic earnings ( loss ) per share", "$ 10.79", "$ 12.61", "$ 8.68", "$ 7.14", "$ 5.41"], ["diluted earnings ( loss ) per share", "-", "$ 12.50", "$ 8.61", "$ 7.07", "$ 5.34"]]}, "Question": "Can you calculate the total sales and service revenues from 2013 to 2017, and furthermore, how this figure compares to the total operating income over those years, tell me the difference value?", "DatasetName": "FinQa", "Answer": ["36366", "32597"], "RawAnswer": "36366, 32597", "id": 0} | |
| {"Table": {"columns": ["( $ in millions except per share amounts )", "year ended december 31 2017", "year ended december 31 2016", "year ended december 31 2015", "year ended december 31 2014", "year ended december 31 2013"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], "data": [["sales and service revenues", "$ 7664", "$ 7280", "$ 7231", "-", "$ 7025"], ["goodwill impairment", "2014", "2014", "77", "48", "2014"], ["operating income ( loss )", "891", "884", "792", "675", "527"], ["net earnings ( loss )", "-", "590", "416", "348", "269"], ["total assets", "6565", "6543", "6205", "6426", "6376"], ["long-term debt ( 1 )", "1317", "1316", "1311", "1609", "1715"], ["total long-term obligations", "3322", "3457", "3358", "3669", "3375"], ["net cash provided by ( used in ) operating activities", "838", "847", "887", "778", "268"], ["free cash flow ( 2 )", "466", "553", "693", "608", "125"], ["dividends declared per share", "$ 2.60", "$ 2.16", "$ 1.75", "$ 1.03", "$ 0.52"], ["basic earnings ( loss ) per share", "$ 10.79", "$ 12.61", "$ 8.68", "$ 7.14", "$ 5.41"], ["diluted earnings ( loss ) per share", "$ 10.77", "$ 12.50", "$ 8.61", "$ 7.07", "$ 5.34"]]}, "Question": "Given the average long-term debt from 2013 to 2017, how does this figure compare to the total long-term obligations in 2017, tell me the difference value?", "DatasetName": "FinQa", "Answer": ["1453.6", "-1868.4"], "RawAnswer": "1453.6, -1868.4", "id": 1} | |
| {"Table": {"columns": ["in millions of dollars", "2009", "2008", "2007", "% ( % ) change 2009 vs . 2008", "% ( % ) change 2008 vs . 2007"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13], "data": [["net interest revenue", "$ 3268", "$ 3432", "$ 2805", "( 5 ) % ( % )", "22% ( 22 % )"], ["non-interest revenue", "-7061 ( 7061 )", "-44193 ( 44193 )", "-21237 ( 21237 )", "84", "nm"], ["revenues net of interest expense", "$ -3792 ( 3792 )", "$ -40761 ( 40761 )", "$ -18433 ( 18433 )", "91% ( 91 % )", "nm"], ["total operating expenses", "-", "$ 1018", "$ 1102", "( 9 ) % ( % )", "( 8 ) % ( % )"], ["net credit losses", "$ 5583", "$ 936", "$ 449", "nm", "nm"], ["provision for unfunded lending commitments", "114", "-177 ( 177 )", "73", "nm", "nm"], ["credit reserve builds/ ( release )", "-497 ( 497 )", "2929", "389", "nm", "nm"], ["provisions for credit losses and for benefits and claims", "$ 5199", "$ 3688", "$ 912", "41% ( 41 % )", "-"], ["( loss ) from continuing operations before taxes", "$ -9915 ( 9915 )", "$ -45467 ( 45467 )", "$ -20446 ( 20446 )", "78% ( 78 % )", "nm"], ["income taxes ( benefits )", "-", "-17663 ( 17663 )", "-7972 ( 7972 )", "75", "nm"], ["( loss ) from continuing operations", "$ -5462 ( 5462 )", "$ -27804 ( 27804 )", "$ -12474 ( 12474 )", "80% ( 80 % )", "nm"], ["net income ( loss ) attributable to noncontrolling interests", "-18 ( 18 )", "-211 ( 211 )", "153", "92", "nm"], ["net ( loss )", "$ -5445 ( 5445 )", "$ -27593 ( 27593 )", "$ -12628 ( 12628 )", "80% ( 80 % )", "nm"], ["eop assets ( in billions of dollars )", "$ 159", "$ 248", "$ 361", "( 36 ) % ( % )", "( 31 ) % ( % )"]]}, "Question": "What is the total net interest revenue in millions of dollars for the year 2008, and What is the difference between it and the net interest revenue in 2007, considering the percentage change?", "DatasetName": "FinQa", "Answer": ["3432", "627"], "RawAnswer": "3432, 627", "id": 2} | |
| {"Table": {"columns": ["( millions )", "global industrial", "global institutional", "global energy", "other"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], "data": [["december 31 2015", "$ 2637.6", "$ 682.6", "$ 3246.0", "$ 119.3"], ["segment change ( a )", "64.6", "-64.6 ( 64.6 )", "-", "-"], ["december 31 2015 revised", "$ 2702.2", "$ 618.0", "$ 3246.0", "$ 119.3"], ["current year business combinations ( b )", "-", "3.2", "0.6", "-"], ["prior year business combinations ( c )", "3.6", "-", "0.1", "-"], ["reclassifications ( d )", "3.6", "-0.6 ( 0.6 )", "-3.0 ( 3.0 )", "-"], ["effect of foreign currency translation", "-46.9 ( 46.9 )", "-12.2 ( 12.2 )", "-57.4 ( 57.4 )", "-2.2 ( 2.2 )"], ["december 31 2016", "$ 2662.6", "$ 608.4", "$ 3186.4", "$ 117.1"], ["current year business combinations ( b )", "127.1", "415.8", "8.3", "65.8"], ["prior year business combinations ( c )", "-0.2 ( 0.2 )", "-", "0.3", "-"], ["dispositions", "-", "-", "-", "-43.9 ( 43.9 )"], ["effect of foreign currency translation", "91.5", "33.6", "104.8", "4.5"], ["december 31 2017", "$ 2880.9", "$ 1057.8", "$ 3299.8", "$ 143.6"]]}, "Question": "What is the total value of global industrial & institutional for December 31, 2016, and What is the difference between it and the value for December 31, 2015?", "DatasetName": "FinQa", "Answer": ["13149", "-222"], "RawAnswer": "13149, -222", "id": 3} | |
| {"Table": {"columns": ["", "preferred stock", "common stock", "paid-in capital", "retained earnings", "employee stock trust", "accumulated other comprehensive income ( loss )", "common stock held in treasury at cost", "common stock issued to employee trust", "non- redeemable non- controlling interests", "total equity"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13], "data": [["balance at december 31 2011", "$ 1546", "$ 21", "$ 23407", "$ 41350", "$ 3245", "$ -161 ( 161 )", "$ -2564 ( 2564 )", "$ -3245 ( 3245 )", "$ 8230", "$ 71830"], ["-", "2064", "2064", "2064", "70", "2064", "2064", "2064", "2064", "2064", "70"], ["net income applicable to nonredeemable noncontrolling interests", "2064", "2064", "2064", "2064", "2064", "2064", "2064", "2064", "537", "537"], ["dividends", "2064", "2064", "2064", "-510 ( 510 )", "2064", "2064", "2064", "2064", "2064", "-510 ( 510 )"], ["shares issued under employee plans and related tax effects", "2064", "2064", "679", "2064", "-240 ( 240 )", "2064", "497", "240", "2064", "1176"], ["repurchases of common stock", "2064", "2064", "-", "2064", "2064", "2064", "-233 ( 233 )", "2064", "2064", "-233 ( 233 )"], ["net change in cash flow hedges", "2064", "2064", "2064", "2064", "2064", "6", "2064", "2064", "2064", "6"], ["pension postretirement and other related adjustments", "2064", "2064", "2064", "2064", "2064", "-272 ( 272 )", "2064", "2064", "5", "-267 ( 267 )"], ["foreign currency translation adjustments", "2064", "2064", "2064", "2064", "2064", "-131 ( 131 )", "2064", "2064", "-128 ( 128 )", "-259 ( 259 )"], ["-", "2064", "2064", "2064", "2064", "2064", "29", "2064", "2064", "2064", "29"], ["purchase of additional stake in the wealth management joint venture", "2064", "2064", "-110 ( 110 )", "2064", "2064", "2064", "2064", "2064", "-1762 ( 1762 )", "-1872 ( 1872 )"], ["reclassification to redeemable noncontrolling interests", "2064", "2064", "2064", "2064", "2064", "2064", "2064", "2064", "-4395 ( 4395 )", "-4395 ( 4395 )"], ["other net increases", "2064", "2064", "36", "2064", "2064", "2064", "2064", "2064", "914", "950"], ["balance at december 31 2012", "$ 1546", "$ 21", "$ 24012", "$ 40910", "$ 3005", "$ -529 ( 529 )", "$ -2298 ( 2298 )", "$ -3005 ( 3005 )", "$ 3402", "$ 67064"]]}, "Question": "What is the total equity for the row with the highest retained earnings, and how does it compare to the average total equity across all rows, higher or lower?", "DatasetName": "FinQa", "Answer": ["71830", "higher"], "RawAnswer": "71830, higher", "id": 4} | |
| {"Table": {"columns": ["dollars in millions", "december 31 2012", "september 30 2012", "june 30 2012", "march 31 2012", "december 312011"], "index": [0, 1, 2, 3, 4, 5, 6, 7], "data": [["2004 & prior", "$ 11", "$ 15", "$ 31", "$ 10", "$ 11"], ["2005", "8", "10", "19", "12", "13"], ["2006", "23", "30", "56", "41", "28"], ["2007", "45", "137", "182", "100", "90"], ["2008", "7", "23", "49", "17", "18"], ["2008 & prior", "94", "215", "-", "180", "160"], ["2009 2013 2012", "38", "52", "42", "33", "29"], ["fnma fhlmc and gnma % ( % )", "-", "87% ( 87 % )", "86% ( 86 % )", "88% ( 88 % )", "-"]]}, "Question": "What is the total amount in millions for December 31, 2011, and how does it compare to the total amount for June 30, 2012, higher or lower?", "DatasetName": "FinQa", "Answer": ["349", "lower"], "RawAnswer": "349, lower", "id": 5} | |
| {"Table": {"columns": ["", "average seating capacity", "average age ( years )", "owned", "leased"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "data": [["airbus a319", "131", "13.1", "19", "109"], ["airbus a320", "154", "15.9", "10", "42"], ["airbus a321", "182", "5.0", "157", "47"], ["airbusa330-200", "265", "5.1", "15", "2074"], ["airbusa330-300", "299", "16.8", "4", "5"], ["boeing737-800", "164", "7.9", "126", "165"], ["boeing757-200", "183", "18.3", "40", "12"], ["boeing767-300er", "216", "20.0", "29", "3"], ["boeing777-200er", "270", "16.4", "45", "3"], ["boeing777-300er", "318", "2.9", "18", "2"], ["boeing787-8", "232", "1.3", "17", "2074"], ["boeing787-9", "292", "0.2", "4", "2074"], ["embraer 190", "101", "9.4", "-", "2074"], ["mcdonnell douglasmd-80", "143", "22.5", "26", "-"]]}, "Question": "What is the total avg seating capacity of all aircraft types listed in the table, and What is the difference between it and the total cost across all aircraft types?", "DatasetName": "FinQa", "Answer": ["2718", "1799"], "RawAnswer": "2718, 1799", "id": 6} | |
| {"Table": {"columns": ["", "2012", "2013", "2014", "2015", "2016", "thereafter"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8], "data": [["property mortgages", "$ 54016", "$ 585708", "$ 667209", "$ 278493", "$ 573092", "$ 2346546"], ["revolving credit facility", "2014", "2014", "2014", "2014", "360500", "-"], ["trust preferred securities", "2014", "2014", "2014", "2014", "2014", "103000"], ["senior unsecured notes", "123006", "2014", "101535", "677", "283048", "800509"], ["capital lease", "1602", "1602", "1602", "1640", "1758", "43621"], ["ground leases", "34432", "34432", "34432", "34432", "34539", "-"], ["estimated interest expense", "322052", "318558", "277365", "252050", "218698", "484470"], ["joint venture debt", "181751", "96493", "127702", "105550", "543648", "824105"]]}, "Question": "What is the total amount of senior unsecured notes issued after 2015 (include 2015), during this period, what is the average amount of their?", "DatasetName": "FinQa", "Answer": ["1084234", "361411.33"], "RawAnswer": "1084234, 361411.33", "id": 7} | |
| {"Table": {"columns": ["", "average seating capacity", "average age ( years )", "owned", "leased"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13], "data": [["airbus a319", "131", "13.1", "19", "109"], ["-", "154", "15.9", "10", "42"], ["airbus a321", "182", "5.0", "157", "47"], ["airbusa330-200", "265", "5.1", "15", "2074"], ["airbusa330-300", "299", "16.8", "4", "5"], ["boeing737-800", "164", "-", "126", "165"], ["boeing757-200", "183", "18.3", "40", "12"], ["boeing767-300er", "216", "20.0", "29", "3"], ["boeing777-200er", "270", "16.4", "45", "-"], ["boeing777-300er", "318", "2.9", "18", "2"], ["boeing787-8", "232", "1.3", "17", "2074"], ["boeing787-9", "292", "0.2", "4", "2074"], ["embraer 190", "101", "9.4", "20", "2074"], ["mcdonnell douglasmd-80", "143", "22.5", "26", "33"]]}, "Question": "What is the number of categories of aircraft listed in the table? and What is the total average seating capacity across this aircraft models? Do not calculate the unoccupied parts of the aircraft.", "DatasetName": "FinQa", "Answer": ["13", "2796"], "RawAnswer": "13, 2796", "id": 8} | |
| {"Table": {"columns": ["( $ in millions except per share amounts )", "year ended december 31 2012", "year ended december 31 2011", "year ended december 31 2010", "year ended december 31 2009", "year ended december 31 2008"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], "data": [["sales and service revenues", "-", "$ 6772", "$ 6925", "$ 6481", "$ 6375"], ["goodwill impairment", "2074", "299", "2074", "-", "2539"], ["operating income ( loss )", "369", "103", "248", "209", "-2402 ( 2402 )"], ["net earnings ( loss )", "150", "-103 ( 103 )", "135", "123", "-2469 ( 2469 )"], ["total assets", "6584", "6251", "5428", "5250", "4966"], ["long-term debt ( 1 )", "1832", "1885", "108", "292", "292"], ["total long-term obligations", "4471", "3953", "1686", "1759", "1878"], ["free cash flow ( 2 )", "175", "341", "173", "-277 ( 277 )", "125"], ["dividends declared per share", "$ 0.10", "$ 2074", "$ 2074", "$ 2074", "$ 2074"], ["basic earnings ( loss ) per share ( 3 )", "$ 3.05", "$ -2.11 ( 2.11 )", "$ 2.76", "$ 2.51", "$ -50.61 ( 50.61 )"], ["diluted earnings ( loss ) per share ( 3 )", "$ 3.00", "$ -2.11 ( 2.11 )", "$ 2.76", "$ 2.51", "$ -50.61 ( 50.61 )"]]}, "Question": "What is the total long-term obligations for the year ended December 31, and how does it compare to the total assets, lower or higher?", "DatasetName": "FinQa", "Answer": ["13747", "lower"], "RawAnswer": "13747, lower", "id": 9} | |
| {"Table": {"columns": ["( in millions )", "years ended december 31 , 2013", "years ended december 31 , 2012", "years ended december 31 , 2011", "years ended december 31 , 2010", "years ended december 31 , 2009"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13], "data": [["net income ( loss )", "$ 136.8", "$ 122.5", "$ 17.6", "$ -30.1 ( 30.1 )", "$ -384.6 ( 384.6 )"], ["depreciation and amortization", "214.4", "216.5", "-", "215.7", "224.7"], ["income tax expense ( benefit )", "64.6", "69.1", "11.5", "-8.0 ( 8.0 )", "-90.4 ( 90.4 )"], ["interest expense net", "257.6", "316.6", "333.9", "403.7", "444.6"], ["ebitda", "673.4", "724.8", "574.1", "581.2", "194.4"], ["non-cash equity-based compensation", "8.9", "22.8", "20.1", "11.8", "16.4"], ["sponsor fees", "2.6", "5.2", "5.2", "5.2", "5.2"], ["consulting and debt-related professional fees", "0.1", "0.6", "5.3", "15.6", "14.5"], ["goodwill impairment", "2014", "2014", "2014", "2014", "-"], ["net loss ( gain ) on extinguishments of long-term debt", "65.9", "17.7", "122.5", "-2.1 ( 2.1 )", "2014"], ["litigation net ( i )", "-4.2 ( 4.2 )", "4.4", "2014", "2014", "-"], ["ipo- and secondary-offering related expenses", "77.3", "2014", "2014", "2014", "-"], ["other adjustments ( ii )", "8.9", "14.1", "11.7", "8.1", "-0.1 ( 0.1 )"], ["adjusted ebitda", "$ 832.8", "$ 789.6", "$ 738.8", "$ 619.9", "$ 479.4"]]}, "Question": "What is the average value of non-cash equity-based compensation over the years provided, and how does it compare to the average consulting and debt-related professional fees, higher or lower?", "DatasetName": "FinQa", "Answer": ["16", "higher"], "RawAnswer": "16, higher", "id": 10} | |
| {"Table": {"columns": ["new jersey", "operatingrevenues ( in millions ) $ 652.3", "% ( % ) of total 24.5% ( 24.5 % )", "number ofcustomers 648066", "% ( % ) of total 20.2% ( 20.2 % )", "estimatedpopulationserved ( in millions ) 2.7", "% ( % ) of total 22.7% ( 22.7 % )"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8], "data": [["pennsylvania", "623.6", "23.3% ( 23.3 % )", "683482", "21.2% ( 21.2 % )", "2.3", "19.1% ( 19.1 % )"], ["missouri", "-", "10.4% ( 10.4 % )", "476913", "14.8% ( 14.8 % )", "1.5", "13.1% ( 13.1 % )"], ["illinois ( a )", "269.4", "10.1% ( 10.1 % )", "320420", "9.9% ( 9.9 % )", "1.3", "11.2% ( 11.2 % )"], ["california", "215.1", "8.0% ( 8.0 % )", "178853", "5.5% ( 5.5 % )", "-", "5.1% ( 5.1 % )"], ["indiana", "-", "7.7% ( 7.7 % )", "301413", "9.3% ( 9.3 % )", "1.2", "10.4% ( 10.4 % )"], ["west virginia ( b )", "130.2", "4.9% ( 4.9 % )", "174831", "5.4% ( 5.4 % )", "0.6", "5.1% ( 5.1 % )"], ["subtotal ( top seven states )", "2388.3", "89.3% ( 89.3 % )", "2800501", "86.9% ( 86.9 % )", "10.4", "87.2% ( 87.2 % )"], ["other ( c )", "355.4", "13.3% ( 13.3 % )", "502817", "15.6% ( 15.6 % )", "1.8", "15.5% ( 15.5 % )"], ["total regulated businesses", "$ 2743.2", "102.5% ( 102.5 % )", "3303692", "102.5% ( 102.5 % )", "12.2", "102.5% ( 102.5 % )"]]}, "Question": "What is the total number of customers across all states? And What is the average number of it?", "DatasetName": "FinQa", "Answer": ["8742922", "971435.78"], "RawAnswer": "8742922, 971435.78", "id": 11} | |
| {"Table": {"columns": ["net earnings ( loss ) attributable to devon", "2017 $ 898", "change +185% ( +185 % )", "2016* $ -1056 ( 1056 )", "change +92% ( +92 % )", "2015* $ -12896 ( 12896 )"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], "data": [["net earnings ( loss ) per diluted share attributable to devon", "$ 1.73", "+181% ( +181 % )", "-", "+93% ( +93 % )", "$ -31.65 ( 31.65 )"], ["core earnings ( loss ) attributable to devon ( 1 )", "$ 439", "+217% ( +217 % )", "$ -378 ( 378 )", "- 430% ( 430 % )", "$ 114"], ["core earnings ( loss ) per diluted share attributable to devon ( 1 )", "$ 0.83", "+210% ( +210 % )", "$ -0.75 ( 0.75 )", "-", "$ 0.27"], ["retained production ( mboe/d )", "556", "- 4% ( 4 % )", "579", "- 3% ( 3 % )", "596"], ["total production ( mboe/d )", "558", "- 11% ( 11 % )", "628", "- 10% ( 10 % )", "698"], ["realized price per boe ( 2 )", "$ 26.45", "+39% ( +39 % )", "$ 19.12", "- 14% ( 14 % )", "$ 22.11"], ["operating cash flow", "$ 2989", "+94% ( +94 % )", "$ 1545", "- 69% ( 69 % )", "$ 5020"], ["capitalized expenditures including acquisitions", "$ 3018", "- 25% ( 25 % )", "$ 4016", "- 32% ( 32 % )", "$ 5859"], ["shareholder and noncontrolling interests distributions", "$ 494", "- 8% ( 8 % )", "$ 539", "- 19% ( 19 % )", "$ 667"], ["cash and cash equivalents", "$ 2745", "+36% ( +36 % )", "$ 2013", "- 15% ( 15 % )", "$ 2370"], ["total debt", "$ 10686", "+2% ( +2 % )", "$ 10428", "- 22% ( 22 % )", "$ 13373"], ["reserves ( mmboe )", "2208", "+5% ( +5 % )", "2113", "- 6% ( 6 % )", "2239"]]}, "Question": "What is the absolute sum of change in percentage for the 'change +92% ( +92 % )' column across all rows? Furthermore, How many valid values are there within this range? (Valid values refer to non-empty cells with meaningful data.", "DatasetName": "FinQa", "Answer": ["713", "11"], "RawAnswer": "713, 11", "id": 12} | |
| {"Table": {"columns": ["", "51 east 42nd street", "180 maiden lane", "110 east 42nd street", "1515 broadway", "521 fifth avenue"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], "data": [["land", "$ 45418", "$ 197269", "$ 35020", "$ 476581", "$ 113403"], ["building", "34474", "240227", "47803", "729176", "151086"], ["above market lease value", "5784", "8182", "848", "18847", "3418"], ["acquired in-place leases", "4463", "30846", "5558", "101621", "23706"], ["other assets net of other liabilities", "2074", "2074", "2074", "27941", "2074"], ["assets acquired", "90139", "476524", "89229", "-", "291614"], ["fair value adjustment to mortgage note payable", "2074", "2074", "2074", "-3804 ( 3804 )", "2074"], ["below market lease value", "7739", "20930", "2396", "86950", "-"], ["liabilities assumed", "7739", "20930", "2396", "83146", "26756"], ["purchase price allocation", "$ 82400", "$ 455595", "$ 86833", "$ 1271020", "$ 264858"], ["net consideration funded by us at closing", "$ 84081", "$ 84290", "$ 2826", "$ 267005", "$ 72100"], ["equity and/or debt investment held", "2074", "2074", "$ 16480", "$ 42170", "$ 42675"], ["debt assumed", "$ 2074", "$ 2074", "$ 66950", "$ 472530", "$ 144200"]]}, "Question": "What is the total purchase price allocation across all properties, and how does it compare to the total assets acquired, higher or lower?", "DatasetName": "FinQa", "Answer": ["2160706", "higher"], "RawAnswer": "2160706, higher", "id": 13} | |
| {"Table": {"columns": ["", "2012", "2013", "2014", "2015", "2016", "thereafter", "total"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8], "data": [["property mortgages", "$ 54016", "$ 585708", "$ 667209", "$ 278493", "$ 573092", "$ 2346536", "$ 4505055"], ["revolving credit facility", "2014", "2014", "2014", "2014", "360500", "2014", "360500"], ["-", "2014", "2014", "2014", "2014", "2014", "103000", "103000"], ["senior unsecured notes", "123006", "2014", "101535", "677", "283048", "800509", "1308776"], ["capital lease", "1602", "1602", "1602", "1640", "1758", "43621", "51824"], ["ground leases", "34432", "34432", "34432", "34432", "34539", "633914", "806180"], ["-", "322052", "318558", "277365", "252050", "-", "484470", "1873193"], ["joint venture debt", "181751", "96493", "127702", "-", "543648", "824105", "1879250"]]}, "Question": "What is the total amount of senior unsecured notes listed in the table, and how does it compare to the total amount of property mortgages, higher or lower?", "DatasetName": "FinQa", "Answer": ["1310789", "lower"], "RawAnswer": "1310789, lower", "id": 14} | |
| {"Table": {"columns": ["", "2011", "2012", "2013", "2014", "2015", "thereafter"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8], "data": [["property mortgages", "$ 253013", "$ 147954", "$ 675569", "$ 214264", "$ 268246", "$ 1941432"], ["revolving credit facility", "2014", "669500", "2014", "2014", "2014", "2014"], ["trust preferred securities", "2014", "-", "2014", "2014", "2014", "103000"], ["senior unsecured notes", "87368", "126866", "2014", "101535", "677", "817115"], ["capital lease", "1602", "1602", "1602", "1602", "1641", "45378"], ["ground leases", "29797", "29024", "29024", "29024", "29024", "568994"], ["estimated interest expense", "273200", "252911", "227796", "203042", "182892", "365797"], ["joint venture debt", "213970", "63336", "42657", "-", "99690", "883025"]]}, "Question": "What is the total amount of estimated interest expense across all years, and how does it compare to the total amount of senior unsecured notes, higher or lower?", "DatasetName": "FinQa", "Answer": ["1505638", "higher"], "RawAnswer": "1505638, higher", "id": 15} | |
| {"Table": {"columns": ["in millions of dollars", "2010", "2009", "2008", "% ( % ) change 2010 vs . 2009", "% ( % ) change 2009 vs . 2008"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "data": [["net interest revenue", "$ 14246", "$ 13385", "$ 17650", "6% ( 6 % )", "( 24 ) % ( % )"], ["-", "2055", "4913", "6553", "-58 ( 58 )", "-25 ( 25 )"], ["total revenues net of interest expense", "$ 16301", "$ 18298", "$ 24198", "( 11 ) % ( % )", "( 24 ) % ( % )"], ["total operating expenses", "$ 8306", "$ 10093", "$ 14665", "( 18 ) % ( % )", "( 31 ) % ( % )"], ["net credit losses", "$ 17551", "$ 19760", "$ 13504", "( 11 ) % ( % )", "46% ( 46 % )"], ["credit reserve build ( release )", "-1824 ( 1824 )", "5973", "8830", "nm", "-32 ( 32 )"], ["provision for benefits and claims", "798", "1086", "1228", "-26 ( 26 )", "-12 ( 12 )"], ["provision for unfunded lending commitments", "2074", "2074", "2074", "2014", "2014"], ["provisions for credit losses and for benefits and claims", "$ 16525", "$ 26819", "$ 23562", "( 38 ) % ( % )", "14% ( 14 % )"], ["( loss ) from continuing operations before taxes", "$ -8530 ( 8530 )", "$ -18614 ( 18614 )", "$ -14024 ( 14024 )", "54% ( 54 % )", "-"], ["benefits for income taxes", "-3388 ( 3388 )", "-7886 ( 7886 )", "-5417 ( 5417 )", "57", "-46 ( 46 )"], ["( loss ) from continuing operations", "$ -5143 ( 5143 )", "$ -10728 ( 10728 )", "$ -8607 ( 8607 )", "52% ( 52 % )", "( 25 ) % ( % )"], ["net income attributable to noncontrolling interests", "8", "34", "12", "-76 ( 76 )", "nm"], ["net ( loss )", "$ -5151 ( 5151 )", "$ -10762 ( 10762 )", "$ -8619 ( 8619 )", "52% ( 52 % )", "( 25 ) % ( % )"], ["average assets ( in billions of dollars )", "$ 334", "$ 361", "$ 433", "( 8 ) % ( % )", "-16 ( 16 )"], ["net credit losses as a percentage of average loans", "6.39% ( 6.39 % )", "6.57% ( 6.57 % )", "3.91% ( 3.91 % )", "", ""]]}, "Question": "What is the total net credit losses across all years in the table, and how does this total compare to the total provisions for credit losses and for benefits and claims, lower or higher?", "DatasetName": "FinQa", "Answer": ["50815", "lower"], "RawAnswer": "50815, lower", "id": 16} | |
| {"Table": {"columns": ["( in millions )", "years ended december 31 , 2015", "years ended december 31 , 2014", "years ended december 31 , 2013", "years ended december 31 , 2012", "years ended december 31 , 2011"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], "data": [["net income", "$ 414.2", "$ 252.2", "$ 136.8", "$ 122.6", "$ 17.6"], ["amortization of intangibles ( a )", "178.9", "166.0", "166.0", "168.6", "170.7"], ["non-cash equity-based compensation", "32.1", "16.9", "8.9", "22.8", "20.1"], ["non-cash equity-based compensation related to equity investment ( b )", "20.6", "2014", "2014", "2014", "-"], ["net loss on extinguishments of long-term debt", "25.0", "93.4", "65.9", "17.7", "122.5"], ["acquisition and integration expenses ( c )", "10.5", "2014", "2014", "-", "2014"], ["gain on remeasurement of equity investment ( d )", "-101.0 ( 101.0 )", "2014", "2014", "2014", "2014"], ["other adjustments ( e )", "3.8", "-0.3 ( 0.3 )", "63.0", "-3.4 ( 3.4 )", "-16.1 ( 16.1 )"], ["aggregate adjustment for income taxes ( f )", "-66.7 ( 66.7 )", "-106.1 ( 106.1 )", "-116.9 ( 116.9 )", "-73.7 ( 73.7 )", "-110.0 ( 110.0 )"], ["non-gaap net income ( g )", "$ 518.1", "$ 422.2", "$ 323.7", "$ 254.5", "$ 204.8"]]}, "Question": "What is the total net income across all years provided in the table, and what is the difference between it and the sum of non-GAAP net income for the same years?", "DatasetName": "FinQa", "Answer": ["943.4", "779.9"], "RawAnswer": "943.4, 779.9", "id": 17} | |
| {"Table": {"columns": ["dollars in millions", "december 31 2012", "september 30 2012", "june 30 2012", "march 31 2012", "december 312011"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8], "data": [["2004 & prior", "$ 11", "$ 15", "$ 31", "$ 10", "$ 11"], ["2005", "8", "10", "19", "12", "-"], ["2006", "23", "30", "56", "41", "28"], ["2007", "45", "137", "182", "-", "90"], ["2008", "7", "23", "49", "17", "18"], ["2008 & prior", "94", "215", "337", "180", "160"], ["2009 2013 2012", "38", "52", "-", "33", "29"], ["total", "$ 132", "$ 267", "$ 379", "$ 213", "$ 189"], ["fnma fhlmc and gnma % ( % )", "94% ( 94 % )", "87% ( 87 % )", "86% ( 86 % )", "88% ( 88 % )", "91% ( 91 % )"]]}, "Question": "What is the total value in dollars for the column 'march 31 2012' across all rows, and how does it compare to the total value in dollars for 'september 30 2012', lower or higher?", "DatasetName": "FinQa", "Answer": ["293", "lower"], "RawAnswer": "293, lower", "id": 18} | |
| {"Table": {"columns": ["", "average seatingcapacity", "averageage ( years )", "owned", "leased"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "data": [["airbus a319", "131", "14.2", "22", "107"], ["airbus a320", "154", "-", "10", "39"], ["airbus a321", "183", "5.6", "170", "56"], ["airbus a330-200", "258", "6.2", "15", "2074"], ["airbus a330-300", "299", "17.9", "4", "5"], ["boeing 737-800", "164", "8.3", "136", "177"], ["boeing 737-8 max", "-", "0.1", "-", "2074"], ["boeing 757-200", "185", "18.6", "32", "3"], ["boeing 767-300er", "215", "19.7", "25", "2074"], ["boeing 777-200er", "277", "17.5", "45", "3"], ["boeing 777-300er", "319", "3.9", "19", "2"], ["boeing 787-8", "233", "2.2", "21", "2074"], ["boeing 787-9", "293", "0.7", "14", "2074"], ["embraer 190", "102", "10.5", "21", "2074"], ["mcdonnell douglas md-80", "144", "21.9", "13", "33"]]}, "Question": "What is the total sum of the 'total' column for all rows where the 'average seatingcapacity' is greater than 200, and how does this compare to the sum of the 'averageage ( years )' column for rows where the 'ownership_status' contains the number '2074', higher or lower?", "DatasetName": "FinQa", "Answer": ["153", "higher"], "RawAnswer": "153, higher", "id": 19} | |
| {"Table": {"columns": ["", "2011", "2012", "2013", "2014", "2015", "thereafter"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8], "data": [["property mortgages", "$ 253000", "$ 147000", "-", "$ 213000", "$ 267000", "$ 1930000"], ["revolving credit facility", "2014", "668000", "2014", "2014", "2014", "2014"], ["-", "2014", "2014", "2014", "2014", "2014", "103000"], ["senior unsecured notes", "87100", "126500", "2014", "101200", "675", "814000"], ["capital lease", "1595", "1595", "1595", "1595", "1635", "45200"], ["ground leases", "29700", "28900", "28900", "28900", "28900", "567000"], ["estimated interest expense", "272000", "252000", "227000", "202000", "182000", "364000"], ["joint venture debt", "213000", "63100", "42500", "348000", "99300", "880000"]]}, "Question": "What is the total amount for 'property mortgages' across all years, and how does it compare to the total amount for 'joint venture debt', lower or higher?", "DatasetName": "FinQa", "Answer": ["2810000", "higher"], "RawAnswer": "2810000, higher", "id": 20} | |
| {"Table": {"columns": ["( dollars in millions )", "payments due by period total", "payments due by period less than 1 year", "payments due by period 1-3 years", "payments due by period 3-5 years", "payments due by period more than 5 years"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8], "data": [["8.75% ( 8.75 % ) senior notes", "$ 206.0", "$ -", "$ 206.0", "$ -", "$ -"], ["5.40% ( 5.40 % ) senior notes", "257.5", "-", "-", "-", "257.5"], ["junior subordinated debt", "339.8", "-", "-", "-", "339.8"], ["6.6% ( 6.6 % ) long term notes", "412.0", "-", "-", "-", "412.0"], ["-", "-", "79.5", "150.1", "123.1", "1957.6"], ["employee benefit plans", "2.5", "2.5", "-", "-", "-"], ["operating lease agreements", "32.9", "8.8", "16.8", "3.8", "3.6"], ["gross reserve for losses and lae ( 2 )", "-", "2114.8", "3329.3", "1109.4", "2758.4"]]}, "Question": "What is the total amount of payments due by period 3-5 years across all entries in the table, and how does this compare to the total amount of payments due by period more than 5 years, lower or higher?", "DatasetName": "FinQa", "Answer": ["1236.3", "lower"], "RawAnswer": "1236.3, lower", "id": 21} | |
| {"Table": {"columns": ["", "2012", "2013", "2014", "2015", "2016", "thereafter"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8], "data": [["property mortgages", "$ 54016", "$ 585708", "$ 667209", "$ 278493", "$ 573092", "$ 2346536"], ["-", "2014", "2014", "2014", "-", "360500", "2014"], ["trust preferred securities", "2014", "2014", "2014", "2014", "2014", "103000"], ["senior unsecured notes", "123005", "2014", "101535", "677", "283048", "800509"], ["capital lease", "1602", "1602", "1602", "1640", "1758", "-"], ["ground leases", "34432", "34432", "34432", "34432", "34539", "633914"], ["estimated interest expense", "322052", "318558", "277365", "252050", "218698", "484470"], ["joint venture debt", "181751", "96493", "127702", "105550", "543648", "824105"]]}, "Question": "What is the total amount of joint venture debt after 2016 (include 2016), and how does it compare to the total amount of property mortgages in the same year, lower or higher?", "DatasetName": "FinQa", "Answer": ["1367753", "lower"], "RawAnswer": "1367753, lower", "id": 22} | |
| {"Table": {"columns": ["( in millions )", "years ended december 31 , 2013", "years ended december 31 , 2012", "years ended december 31 , 2011", "years ended december 31 , 2010", "years ended december 31 , 2009"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13], "data": [["net income ( loss )", "$ 136.8", "$ 122.5", "$ 17.6", "$ -30.1 ( 30.1 )", "$ -384.6 ( 384.6 )"], ["depreciation and amortization", "214.4", "216.5", "211.0", "215.7", "224.7"], ["-", "64.6", "69.1", "11.5", "-8.0 ( 8.0 )", "-90.4 ( 90.4 )"], ["interest expense net", "257.6", "316.6", "333.9", "403.7", "444.6"], ["ebitda", "673.4", "724.8", "574.1", "581.2", "194.4"], ["non-cash equity-based compensation", "8.9", "22.8", "20.1", "11.8", "16.4"], ["sponsor fees", "-", "5.2", "5.2", "-", "-"], ["consulting and debt-related professional fees", "0.1", "0.6", "5.3", "15.6", "14.5"], ["goodwill impairment", "2014", "2014", "2014", "2014", "249.1"], ["net loss ( gain ) on extinguishments of long-term debt", "65.9", "17.7", "122.5", "-2.1 ( 2.1 )", "2014"], ["litigation net ( i )", "-4.2 ( 4.2 )", "4.4", "2014", "2014", "2014"], ["ipo- and secondary-offering related expenses", "77.3", "2014", "2014", "2014", "2014"], ["other adjustments ( ii )", "8.9", "14.1", "11.7", "8.1", "-0.1 ( 0.1 )"], ["adjusted ebitda", "$ 832.8", "$ 789.6", "$ 738.8", "$ 619.9", "$ 479.4"]]}, "Question": "What is the total value of 'adjusted ebitda' for the years ended December 31, 2010 and December 31, 2011, and how does this total compare to the 'adjusted ebitda' for the year ended December 31, 2009, lower or higher?", "DatasetName": "FinQa", "Answer": ["1358.7", "higher"], "RawAnswer": "1358.7, higher", "id": 23} | |
| {"Table": {"columns": ["", "2011", "2012", "2013", "2014", "2015", "thereafter"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8], "data": [["property mortgages", "$ 253013", "$ 147954", "$ 675569", "$ 214264", "$ 268246", "$ 1941432"], ["revolving credit facility", "2014", "669500", "2014", "-", "2014", "2014"], ["trust preferred securities", "-", "2014", "2014", "2014", "2014", "103000"], ["senior unsecured notes", "87368", "126866", "2014", "101535", "677", "817115"], ["capital lease", "1602", "1602", "1602", "1602", "1641", "45378"], ["ground leases", "29797", "29024", "29024", "-", "29024", "568994"], ["estimated interest expense", "273199", "252911", "227796", "203042", "182892", "365797"], ["joint venture debt", "213970", "63336", "42657", "349359", "99690", "883025"]]}, "Question": "What is the total amount for 'property mortgages' in the table, and what is the difference between it and the total amount for 'senior unsecured notes'?", "DatasetName": "FinQa", "Answer": ["3500478", "2364903"], "RawAnswer": "3500478, 2364903", "id": 24} | |
| {"Table": {"columns": ["( in millions )", "years ended december 31 , 2015", "years ended december 31 , 2014", "years ended december 31 , 2013", "years ended december 31 , 2012", "years ended december 31 , 2011"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], "data": [["net income", "$ 414.2", "$ 252.2", "$ 136.8", "$ 122.6", "$ 17.6"], ["depreciation and amortization", "234.2", "214.1", "214.4", "216.5", "211.0"], ["income tax expense", "251.2", "147.1", "64.6", "69.1", "11.5"], ["interest expense net", "164.3", "203.2", "257.6", "316.6", "333.9"], ["ebitda", "1064.9", "816.7", "673.4", "724.8", "574.1"], ["non-cash equity-based compensation", "32.1", "16.9", "8.9", "22.8", "20.1"], ["net loss on extinguishment of long-term debt ( a )", "25.0", "93.4", "-", "17.7", "122.5"], ["loss ( income ) from equity investments ( b )", "10.4", "-2.3 ( 2.3 )", "-0.6 ( 0.6 )", "-0.3 ( 0.3 )", "-0.1 ( 0.1 )"], ["acquisition and integration expenses ( c )", "-", "2014", "2014", "2014", "2014"], ["gain on remeasurement of equity investment ( d )", "-101.0 ( 101.0 )", "2014", "2014", "2014", "2014"], ["other adjustments ( e )", "7.1", "9.5", "85.2", "-", "22.2"], ["adjusted ebitda ( f )", "$ 1049.0", "$ 934.2", "$ 832.8", "$ 789.6", "$ 738.8"]]}, "Question": "What is the total non-cash equity-based compensation across all years, and what is the difference between it and the total depreciation and amortization?", "DatasetName": "FinQa", "Answer": ["100.8", "989.4"], "RawAnswer": "100.8, 989.4", "id": 25} | |
| {"Table": {"columns": ["contractual obligations", "total", "less than 1 year", "1-3 years", "3-5 years", "more than 5 years", "other", "footnote reference ( 4 )"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8], "data": [["debt obligations ( 1 )", "$ 20916", "$ 2318", "$ 2504", "$ 5153", "$ 11042", "$ 2074", "10"], ["interest payments on long-term debt ( 2 )", "9364", "1207", "2231", "1770", "4167", "2074", "n/a"], ["capital lease obligations", "19", "2", "2", "2", "12", "2074", "11"], ["operating lease obligations", "962", "-", "119", "120", "663", "2074", "11"], ["electricity obligations", "4636", "598", "976", "934", "2127", "2074", "11"], ["fuel obligations", "6035", "1812", "1691", "1022", "1510", "-", "11"], ["other purchase obligations", "5134", "1533", "1443", "804", "1353", "2074", "11"], ["other long-term liabilities reflected on aes' consolidated balance sheet under gaap ( 3 )", "722", "2074", "292", "121", "285", "23", "n/a"]]}, "Question": "What is the total contractual obligations for the first row in the table, and what is the defference between it and the average total contractual obligations across all rows?", "DatasetName": "FinQa", "Answer": ["23091", "26796"], "RawAnswer": "23091, 26796", "id": 26} | |
| {"Table": {"columns": ["season", "tropical cyclones", "severe tropical cyclones", "strongest storm"], "index": [0, 1, 2, 3, 4, 5, 6, 7], "data": [["1990 - 91", "+10.0 (estimated)", "7", "marian"], ["1996 - 97", "+14.000 (estimated)", "3", "pancho"], ["1993 - 94", "+11.0 (estimated)", "7", "theodore"], ["1995 - 96", "+14.00 (estimated)", "9", "olivia"], ["1991 - 92", "+10.00 (estimated)", "9", "jane - irna"], ["1992 - 93", "+3.000 (estimated)", "1", "oliver"], ["1997 - 98", "-", "3", "tiffany"], ["1999 - 00", "+12.0 (estimated)", "5", "john / paul"]]}, "Question": "What is the total number of severe tropical cyclones across all seasons in the table, and how does this compare to the average number of tropical cyclones per season, excluding seasons with missing data, higher or lower?", "DatasetName": "TableBench", "Answer": ["44", "higher"], "RawAnswer": "44, higher", "id": 27} | |
| {"Table": {"columns": ["rank", "of airlines", "avg daily flts", "distance (km)", "market share leader"], "index": [0, 1, 2, 3, 4, 5, 6, 7], "data": [["1", "7", "162", "Β±463.0", "korean air"], ["4", "4", "122", "Β±839.0", "all nippon airways"], ["6t", "4", "119", "Β±496.00", "iberia"], ["-", "8", "N/A", "Β±1166.000", "Null"], ["2", "4", "128", "Β±368.00", "tam"], ["8", "4", "100", "Β±167.0", "hawaiian airlines"], ["9t", "6", "94", "Β±1.299e+3", "south african airways"], ["9t", "3", "94", "Β±901.000", "japan airlines"]]}, "Question": "What is the total number of airlines operating across all ranks in the table, and what is the average distance (in km) for all flights, excluding rows with missing or invalid distance values?", "DatasetName": "TableBench", "Answer": ["40", "712.38"], "RawAnswer": "40, 712.38", "id": 28} | |
| {"Table": {"columns": ["country", "un budget", "gdp (ppp) (millions of usd) 2011", "gdp (nominal) (millions of usd) 2011", "population"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], "data": [["italy", "5.149%", 1883889, "$2242704.0", 62066232], ["colombia", "0.148%", 481327, "$334178.0", 47682960], ["argentina", "0.296%", 730747, "$456596.0", 40919437], ["turkey", "0.636%", 1095036, "$793650.0", 76218754], ["canada", "3.303%", 1424053, "$1771606.0", 35652162], ["mexico", "2.427%", 1694872, "$1177879.0", 114583268], ["spain", "3.272%", 1441737, "$1523383.0", 47086378], ["indonesia", "0.245%", 1147141, "$862593.0", 242394152], ["pakistan", "0.084%", 498351, "$214777.0", 184610820], ["malta", "0.018%", 10972, "$9073.0", 425969], ["san marino", "0.003%", 1158, "$2088.0", 33052]]}, "Question": "What is the total UN budget contribution percentage for the top 5 countries by GDP (nominal) in 2011, and What is the average population of the countries contributing less than 1% to the UN budget?", "DatasetName": "TableBench", "Answer": ["14.787", "84612163.43"], "RawAnswer": "14.787, 84612163.43", "id": 29} | |
| {"Table": {"columns": ["Row Header", "Age", "Air Group or Subsidiary Officer Since"], "index": [0, 1, 2, 3, 4, 5, 6], "data": [["Null", "59+", "1995"], ["Andrew R. Harrison", "50+", "2009"], ["Brandon S. Pedersen", "53+ (approx)", "2004"], ["Gary L. Beck", "72+", "2019"], [null, "48+", "2017"], ["Shane R. Tackett", "41+", "2012"], ["Diana Birkett-Rakow", "42+", "2018"]]}, "Question": "What is the average age of the officers listed in the table, and how many of them have been with the Air Group or Subsidiary after 2010?", "DatasetName": "TableBench", "Answer": ["52.14", "4"], "RawAnswer": "52.14, 4", "id": 30} | |
| {"Table": {"columns": ["Unnamed: 0", "2005 regional", "2000 regional", "1996 general", "2010 regional", "2001 general", "1994 general", "2004 european", "2008 general", "2009 european", "1995 regional", "2013 general"], "index": [0, 1, 2, 3, 4, 5, 6, 7], "data": [["piedmont", "4.74", "4.63", 4.53, "4.02", 3.61, "with fi", 5.15, 5.36, 6.28, "3.09", "1.24% (approx)"], ["campania", "6.9", "8.76", 8.24, "9.68", 7.73, "with fi", 7.21, 6.7, 8.96, "9.99", "3.71% (estimated)"], ["lazio", "8.03", "6.9", 4.84, "6.28", 4.94, "with fi", 7.31, 4.94, 5.67, "4.33", "1.55%"], ["emilia - romagna", "4.02", "3.81", 4.94, "3.91", 3.5, "with fi", 2.88, 4.43, 4.84, "4.94", "1.13%"], ["veneto", "6.59", "7.0", 5.56, "5.05", 5.15, "with fi", 5.15, "Null", 6.59, "3.71", "1.75%"], ["lombardy", "3.91", "4.22", 4.74, "3.91", 3.5, "with fi", 3.71, 4.43, 5.15, "2.27", "1.13%"], ["calabria", "10.71", "13.7", 9.27, "9.68", 9.79, "with fi", 9.89, 8.45, 9.58, "9.27", "4.22%"], ["sicily", "19.26 (2006)", "25.03 (2001)", 8.34, "12.88 (2008)", 14.83, "with fi", 14.42, 9.68, 12.26, "19.57 (1996)", "2.88%"]]}, "Question": "What is the average percentage of votes for the '2013 general' election across all regions, and how many regions have a election percentage greater than 2% in the year?", "DatasetName": "TableBench", "Answer": ["2.2", "3"], "RawAnswer": "2.2, 3", "id": 31} | |
| {"Table": {"columns": ["#", "Taking Office", "Leaving"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], "data": [["#1", "1901", "1902"], ["#3", "1902", "1908"], ["#16", "1966", "1970"], ["#14", "1957", "1963"], ["#2", "1902", "1902"], ["#6 (duplicate)", "1928", "1930"], ["#9", "1936", "1937"], ["#11", "1938", "1946"], ["#4", "1913", "1915"], ["#Null", "1915", "1917"], ["#7", "1920", "1928"], ["#Null", "1970", "1986"], ["#10", "1937", "1938"], ["#13", "1954", "1957"], ["#4 (duplicate)", "1917", "1918"], ["#12", "1946", "1954"], ["#18", "1986", "1994"], ["#6", "1918", "1920"], ["#8", "1930", "1936"], ["#19", "1994", "2009"], ["#20", "2009", "2024"]]}, "Question": "What is the total number of years served by all individuals in the table, excluding duplicates and null entries, and What are the duplicate years?", "DatasetName": "TableBench", "Answer": ["20", "1902"], "RawAnswer": "20, 1902", "id": 32} | |
| {"Table": {"columns": ["Name", "Confluence\\n[by Lahn-km]", "Position", "Length\\n[km]", "Mouth elevation\\n[m above MSL]"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27], "data": [["Feudinge (RΓΌppersbach)", 10.1, "left", "6.4 km", "Β±399.0"], ["Ulmbach", 141.7, "right", "23.5 km", "Β±139.000"], ["Ohm", 60.2, "left", "61.2 km", "Β±193.000"], ["Aar", null, "left", "50.9 km", "Β±106.0"], ["Elbbach", null, "right", "41.7 km", "Β±112.000"], ["Kallenbach", 144.9, "right", "15.0 km", "Β±135.0"], ["Weil", 153.2, "left", "47.8 km", "Β±133.00"], ["Bieber", 107.7, "right", "13.9 km", "Β±155.00"], ["Banfe", 19.0, "right", "11.8 km", "Β±335.000"], ["Dill", 123.5, "right", "56.4 km", "Β±151.0"], ["Kleebach", 108.9, "left", "27.6 km", "Β±154.0"], ["Wetschaft", null, "left", "29.7 km", "Β±197.0"], ["DΓΆrsbach", null, "left", "32.8 km", "Β±96.00"], ["Perf", 25.3, "right", "20.5 km", "Β±293.00"], ["N/A", 10.8, "right", "8.6 km", "Β±393.00"], ["Zwester Ohm", 86.2, "left", "20.5 km", "Β±169.00"], ["Emsbach", 185.5, "left", "40.1 km", "Β±113.0"], ["Wetzbach", 122.6, "left", "12.0 km", "Β±151.000"], ["Laasphe", 19.9, "left", "8.5 km", "Β±333.0"], ["Wieseck", 104.8, "left", "24.9 km", "Β±159.0"], ["Allna", 79.1, "right", "19.6 km", "Β±177.0"], ["SalzbΓΆde", 89.6, "right", "28.3 km", "Β±168.0"], ["Solmsbach", 131.3, "left", "25.2 km", "Β±145.00"], ["Gelbach (Aubach)", null, "right", "40.7 km", "Β±95.0"], ["Iserbach (MΓΆttbach)", 134.8, "left", "19.7 km", "Β±143.0"], ["Lumda", 96.0, "left", "30.8 km", "Β±164.000"], ["N/A", null, "left", "32.9 km", "Β±87.000"], ["Emsbach", null, "right", "11.8 km", "Β±77.0"]]}, "Question": "What is the total length of all rivers listed in the table, and how many of these rivers have a mouth elevation above 150 meters?", "DatasetName": "TableBench", "Answer": ["762.8", "16"], "RawAnswer": "762.8, 16", "id": 33} | |
| {"Table": {"columns": ["election", "of prefectural votes", "% of national vote", "leader", "of national votes", "% of prefectural vote"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "data": [[1956, 14784579, "40.9%", "ichirΕ hatoyama", "$11697580.00", "49.8%"], [2007, 19164379, "28.9%", "shinzΕ abe", "$17041037.0", "32.3%"], [1965, 17150822, "48.6%", "eisaku satΕ", "$18110995.00", "45.5%"], [1998, 14552580, "31.4%", "keizΕ obuchi", "$17544866.00", "25.9%"], [1986, 26894596, "39.7%", "yasuhiro nakasone", "$22796550.0", "46.4%"], [1971, 18259081, "45.8%", "eisaku satΕ", "$18292177.000", "45.3%"], [1983, 20574285, "36.4%", "yasuhiro nakasone", "$16934680.000", "44.5%"], [1962, 17626325, "47.8%", "hayato ikeda", "$17079086.0", "48.5%"], [1980, 25269075, "44.6%", "masayoshi Εhira", "$24491536.00", "43.8%"], [2001, 21748169, "42.3%", "junichiro koizumi", "$22968820.000", "39.7%"], ["???", 15410035, "46.6%", "kiichi miyazawa", "$21144142.000", "34.3%"], [1995, 11429881, "26.2%", "yΕhei kΕno", "$10874273.0", "28.1%"], [1977, 21053362, "36.9%", "takeo fukuda", "$18704863.0", "40.7%"], [1974, 21766343, "45.6%", "kakuei tanaka", "-", "40.7%"], [1959, 16137033, "42.4%", "nobusuke kishi", "$12484216.000", "53.6%"], [1989, 15803759, "31.6%", "sΕsuke uno", "$17990398.00", "28.1%"], [2010, 20080965, "24.8%", "sadakazu tanigaki", "$14493821.00", "34.4%"], [2013, 23361628, "35.7%", "shinzΕ abe", "$19014216.000", "44.0%"]]}, "Question": "What is the total number of national votes across all elections where the leader is 'shinzΕ abe', and What is the average percentage of prefectural votes for elections for the same leader?", "DatasetName": "TableBench", "Answer": ["36055253", "38.15"], "RawAnswer": "36055253, 38.15", "id": 34} | |
| {"Table": {"columns": ["season", "podiums", "poles", "team", "races", "flaps", "points", "position"], "index": [0, 1, 2, 3, 4, 5], "data": [[2008, 1, 0, "rΓ€ikkΓΆnen robertson racing", 15, 1, "$162.00 (estimated)", "6th"], [2009, 6, 5, "mΓΌcke motorsport", 16, 4, "$239.000", "4th"], [2010, 0, 0, "Null", 16, 0, "$0", "31st"], [2008, 1, 0, "josef kaufmann racing", 1, 0, "$0.0", "2nd"], [2011, 2, 0, "rsc mΓΌcke motorsport", 16, 1, "$20.0", "11th"], [2011, 0, 0, "vulcan racing - mintgen motorsport", 6, 0, "-", "nc"]]}, "Question": "What is the total number of races participated in by teams that achieved at least one podium finish, and how does this compare to the average number of poles per team for teams that scored more than $100 in points?", "DatasetName": "TableBench", "Answer": ["48", "2.5"], "RawAnswer": "48, 2.5", "id": 35} | |
| {"Table": {"columns": ["test", "subject", "mean score", "number of students"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "data": [["sat subject test in literature", "literature", "+593.0", "-"], ["sat subject test in biology e / m", "biology", "e - 623 m - 654", "88792 in total , 41278 (e) 47514 (m)"], ["sat subject test in mathematics level 1", "mathematics", "+628.000", "85312"], ["sat subject test in world history", "world history", "+625.00", "20278"], ["sat subject test in french", "french", "+641.0", "10703"], ["sat subject test in mathematics level 2", "mathematics", "+674.0", "181766"], ["sat subject test in german", "german", "+641.0", "800"], ["sat subject test in german with listening", "german", "+629.00", "793"], ["sat subject test in physics", "physics", "+676.00", "51096"], ["sat subject test in chemistry", "chemistry", "+667.0", "78359"], ["sat subject test in united states history", "us history", "+6.26e+2", "130481"], ["sat subject test in korean with listening", "korean", "+790.0", "4401"], ["sat subject test in italian", "italian", "+686.0", "759"], ["sat subject test in japanese with listening", "japanese", "+705.000", "2025"], ["sat subject test in french with listening", "Null", "+665.000", "2441"], ["sat subject test in latin", "latin", "+629.00", "3100"], ["sat subject test in spanish", "spanish", "+666.0", "38895"], ["sat subject test in spanish with listening", "spanish", "+683.000", "6591"]]}, "Question": "What is the total number of students who took the SAT Subject Test in Mathematics Level 2, and how does its mean score compare to the mean score of the SAT Subject Test in Physics, lower or higher?", "DatasetName": "TableBench", "Answer": ["181766", "lower"], "RawAnswer": "181766, lower", "id": 36} | |
| {"Table": {"columns": ["rank", "name", "floors", "height (ft)", "height (m)", "city", "estimated completion"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8], "data": [[1, "leadenhall building", 49, 740, "+227.0", "london", 2014], [5, "20 fenchurch street", 37, "N/A", "+162.000", "london", 2014], [9, "25 churchill place", 24, 430, "+132.0", "london", 2014], [4, "1 blackfriars", 53, 538, "+1.65e+2", "london", 2018], [7, "providence tower", 45, 449, "+138.0", "london", 2015], [8, "one the elephant", 38, 439, "+135.00", "london", 2016], [3, "100 bishopsgate", "N/A", 567, "+174.00", "london", 2015], [10, "lots road tower 1", 38, 403, "+124.000", "london", 2015], [11, "lexicon tower", 36, 380, "+117.0", "london", 2016]]}, "Question": "What is the average height in meters of the buildings completed in 2014, and how many buildings have a height in meters greater than this average?", "DatasetName": "TableBench", "Answer": ["173.67", "2"], "RawAnswer": "173.67, 2", "id": 37} | |
| {"Table": {"columns": ["inegi code", "population (2005)", "municipal seat", "population density ( / km 2 )", "municipality", "human development index (2000)"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "data": [[1, 56457, "amealco", "82.8%", "amealco de bonfil!", 0.6803], [9, 22025, "jalpan", "18.600%", "jalpan de serra+", 0.7178], [12, 17007, "pedro escobedo", "58.50%", "pedro escobedo%", 0.7598], [10, 18905, "landa de matamoros", "22.50%", "landa de matamoros~", 0.6606], [7, 34729, null, "116.4%", "ezequiel montes&", 0.7534], ["N/A", 56553, "peΓ±amiller", "81.40%", "peΓ±amiller?", 0.7023], [3, 12493, "arroyo seco", "17.100%", "arroyo seco@", 0.7029], [15, 7634, "san joaquΓn", "15.30%", "san joaquΓn@", 0.6593], [2, 25325, "pinal de amoles", "35.90%", "pinal de amoles#", "-"], [14, 734139, "santiago de querΓ©taro", "966.1%", "querΓ©taro#", 0.856], [4, 57204, "cadereyta", "50.60%", "cadereyta de montes$", 0.7074], [6, 104218, "el pueblito", "424.0%", "corregidora^", 0.8535], [8, 32728, "huimilpan", "84.30%", "huimilpan*", "N/A"], [16, 208462, "san juan del rΓo", "260.6%", "san juan del rΓo$", 0.8035], [17, 54929, "tequisquiapan", "159.9%", "tequisquiapan^", 0.7827]]}, "Question": "What is the average number of population percentage for municipalities with a human development index (HDI) greater than 0.7, and how many municipalities have a population density greater than 100 / kmΒ² and an HDI below 0.7?", "DatasetName": "TableBench", "Answer": ["130175.9", "0"], "RawAnswer": "130175.9, 0", "id": 38} | |
| {"Table": {"columns": ["rank", "island", "elevation (m)", "country", "peak", "col (m)"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8], "data": [[1, "new guinea", "+4970.0", "indonesia", "puncak jaya (carstensz pyramid)", "???"], [5, "new guinea", "+2270.0", "indonesia", "mount gauttier", 227], [6, "new guinea", "+2220.00", "indonesia", "mount wondiwoi", 198], [4, "new guinea", "+3810.000", "indonesia", "mount kobowre", 1550], ["Null", "new guinea", "+3700.0", "indonesia", "undundi - wandandi", 1930], [7, "new guinea", "+2540.000", "indonesia", "bon irau", 610], [3, "new guinea", "+4840.00", "indonesia", "puncak mandala", 2030], [10, "new guinea", "+1710.00", "indonesia", "mount kumawa", 45], [11, "new guinea", "+4010.000", "indonesia", "angemuk", 2420]]}, "Question": "What is the average elevation of the peaks listed in the table, and how many of these peaks have an elevation greater than the average?", "DatasetName": "TableBench", "Answer": ["3341.11", "5"], "RawAnswer": "3341.11, 5", "id": 39} | |
| {"Table": {"columns": ["Year", "Single", "US Chart position", "Catalogue No."], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], "data": [["1942", "\"Cow-Cow Boogie\"", "9%", "105"], ["1946", "???", "15%", "233"], ["1952", "\"The Blacksmith Blues\"", "-%", "1980"], ["1945", "\"Captain Kidd\"", "17%", "199"], ["1942", "\"Mr. Five by Five\"", "10%", "118"], [null, "\"Shoo Shoo Baby\"", "4%", "147"], ["1944", "\"No Love, No Nothinβ\"", "4%", "147"], ["1944", "\"Milkman, Keep Those Bottles Quiet\"", "7%", "1.55e+2"], ["1946", "\"The House of Blue Lights\"", "8 (R&B)%", "258"], ["1944", "\"The Patty Cake Man\"", "10%", "168 (Special Edition)"], ["1952", "Null", "23%", "2.134e+3"], ["1953", "\"40 Cups of Coffee\"", "26%", "2615"]]}, "Question": "What is the total number of singles released in the year 1944, and what is the average US Chart position for those singles?", "DatasetName": "TableBench", "Answer": ["3", "7"], "RawAnswer": "3, 7", "id": 40} | |
| {"Table": {"columns": ["nation", "bronze", "silver", "total"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], "data": [["germany", "5", "4", "$16.00"], ["united states", "1", "Null", "$4.000"], ["united kingdom", "1", "1", "$3.00"], ["france", "1", "4", "$6.0"], ["denmark", "-", "-", "$1.000"], ["switzerland", "1", "-", "$2.0"], ["spain", "-", "1", "$1.0"], ["new zealand", "-", "-", "$1.00"], ["australia", "1", "-", "$1.000"], ["sweden", "1", "-", "$1.00"]]}, "Question": "What is the total number of silver medals won by nations that have at least one bronze medal, and what is the average total monetary value for nations that have won at least one silver medal?", "DatasetName": "TableBench", "Answer": ["10", "6.5"], "RawAnswer": "10, 6.5", "id": 41} | |
| {"Table": {"columns": ["region", "percentage in manchu population", "total population", "regional percentage of population"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37], "data": [["fujian", "0.08", "$36894217.00", "0.02"], ["shaanxi", "0.16", "$37327379.000", "0.04"], ["shanghai", "0.24", "$23019196.0", "0.11"], ["guangxi", "0.11", "$46023761.000", "0.02"], ["heilongjiang", "7.19", "$38313991.000", "1.95"], ["hunan", "0.07", "$65700762.0", "0.01"], ["hubei", "0.12", "$57237727.000", "0.02"], ["jilin", "8.32", "$27452815.00", "3.16"], ["jiangsu", "0.17", "$78660941.00", "0.02"], ["east", "1.18", "$392862229.00 (approx)", null], ["anhui", "0.08", "$59500468.0", "0.01"], ["tianjin", "0.80", "$12938693.000", "0.65"], ["xinjiang", "0.18", "$21815815.0", "???"], ["jiangxi", "0.05", "$44567797.00", "0.01"], ["sichuan", "0.15", "$80417528.0", "0.02"], ["zhejiang", "0.11", "$54426891.00", "0.02"], ["shanxi", "0.11", "$25712101.0", "0.05"], ["inner mongolia", "4.35", "$24706291.0", "2.14"], ["ningxia", "0.24", "$6301350.00", "0.4"], ["southwest", "0.56", "$192981185.00", "0.03"], ["hebei", "20.35", "$71854210.0", "2.95"], ["guizhou", "0.22", "$34748556.000", "0.07"], ["chongqing", "0.04", "$28846170.000", null], ["guangdong", "0.28", "$104320459.000", "0.03"], ["north", "28.84", "$164823663.0", "1.82"], ["northeast", "66.77", "$109513129.000", "6.35"], ["northwest", "0.79", "$96646530.0", "0.08"], ["shandong", "0.45", "$95792719.00", "0.05"], ["yunnan", "0.13", "$45966766.00", "0.03"], ["henan", "0.53", "$94029939.0", "0.06"], ["qinghai", "0.08", "$5626723.000", "0.14"], ["liaoning", "51.26", "$43746323.000", "12.2"], ["south central", "1.16", "$375984133.0000", "0.03"], ["beijing", "3.23", "$19612368.00", "1.71"], ["tibet", "<0.01", "$3002165.0", "0.02"]]}, "Question": "What is the total population of the region with the highest percentage of Manchu population, and what is the difference in total population between this region and the region with the lowest percentage of Manchu population?", "DatasetName": "TableBench", "Answer": ["northeast", "106510964"], "RawAnswer": "northeast, 106510964", "id": 42} | |
| {"Table": {"columns": ["rank", "name", "revenue (millions)", "headquarters", "employees", "rank fortune 500", "industry"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21], "data": [[1, "sinopec", "$135585.08", "beijing", 702357, 17, "oil"], [6, "china life insurance", "$34722.85", "beijing", 79990, 192, "insurance"], [10, "china telecom", "$25535.04", "beijing", 412308, 275, "telecommunications"], [19, "saic motor", "$18550.3", "shanghai", 74588, 402, "automobile"], [8, "china construction bank", "$29388.27", "beijing", 306431, 230, "banking"], [13, "sinochem corporation", "$23802.48", "beijing", 20953, 299, "various sectors"], [16, "china railway construction", "$19297.77", "beijing", 252906, 384, "railway"], [15, "china railway engineering", "$21136.01", "beijing", 284142, 342, "railway"], [20, "cofco limited", "$18491.8", "beijing", 84955, 405, "various sectors"], [22, "jardine matheson", "$16769.43", "hong kong / hamilton", 247200, 457, "various sectors"], [11, "agricultural bank of china", "$25209.77", "beijing", 466038, 277, null], [5, "china mobile limited", "$36991.11", "beijing", 134556, 180, "telecommunications"], [14, "baosteel", "$23343.3", "shanghai", 94047, 307, "steel"], [21, "china minmetals", "$17409.27", "beijing", 33572, 435, "metal trading"], [2, "china national petroleum", "$113835.81", "beijing", 1119575, 24, "oil"], [3, "state grid corporation", "$110401.07", "beijing", 1549120, 29, "utilities"], [17, "first automotive works", "$19272.02", "changchun", 140090, "Null", "automobile"], [9, "china southern power grid", "$28805.08", "guangzhou", 183395, 237, "utilities"], [18, "china state construction", "$18708.1", "beijing", 303138, 396, "construction"], [12, "hutchison whampoa", "$24370.83", "hong kong", 226600, 290, "various sectors"], [23, "china national offshore oil", "$16520.07", "beijing", 45320, 469, "oil"], [24, "china ocean shipping", "$15875.91", "Null", 82004, 488, "shipping"]]}, "Question": "What is the total revenue of all companies headquartered in Beijing, and how does this compare to the total revenue of companies in other cities?", "DatasetName": "TableBench", "Answer": ["647034.5", "higher"], "RawAnswer": "647034.5, higher", "id": 43} | |
| {"Table": {"columns": ["rank by average", "number of dances", "place", "total points", "average"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], "data": [[1, "16.0", "-", "$438.0", "27.3"], [5, "13.0", "4", "$295.00", "22.7"], [6, "6.0", "8", null, "22.5"], [9, "2.0", "12", "$38.00", "18.6"], [3, "16.0", "3", "$396.000", "24.7"], [2, "16.0", "2", "$401.00", "25.1"], [4, "11.0", "5", "$255.0", "23.1"], [8, "3.0", "10", "$64.0", "21.2"], [10, "3.0", "11", null, "18.1"], [12, "7.0", "7", "$122.000", "17.4"]]}, "Question": "What is the total number of dances performed by the top 5 ranked places based on average, and what is the difference in average points between the highest and lowest ranked places in these data?", "DatasetName": "TableBench", "Answer": ["72", "4.6"], "RawAnswer": "72, 4.6", "id": 44} | |
| {"Table": {"columns": ["rank", "density (inhabitants / km 2)", "population", "city", "altitude (mslm)"], "index": [0, 1, 2, 3, 4, 5, 6, 7], "data": [["1st", "4.756e+2 inh/kmΒ²", "+96917.0", "alessandria", 98], ["4th", "2.850e+2 inh/kmΒ²", "-", "tortona", 126], ["3rd", "5.429e+2 inh/kmΒ²", "+29438.0", "novi ligure", 203], ["5th", "6.295e+2 inh/kmΒ²", "+21039.0", "acqui terme", "N/A"], ["6th", "4.174e+2 inh/kmΒ²", "+20890.0", "valenza", 129], ["7th", "3.473e+2 inh/kmΒ²", "+12269.0", "ovada", 192], ["8th", "4.144e+2 inh/kmΒ²", "N/A", "serravalle scrivia", 232], ["10th", "Null", "+5637.0", "castelnuovo scrivia", 88]]}, "Question": "Given the table, what is the average altitude of the cities, excluding those with 'N/A' or 'Null' values? Furthermore, How many cities have a altitude greater than the average?", "DatasetName": "TableBench", "Answer": ["152.57", "3"], "RawAnswer": "152.57, 3", "id": 45} | |
| {"Table": {"columns": ["index", "rank", "year", "out of"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8], "data": [["bribe payers index", "19# (Rank)", 2011, 29], ["economic freedom index", "15# (Rank)", 2010, 148], ["global competitiveness report", "13# (Rank)", 20122013, 148], ["democracy index", "37# (Rank)", 2010, 172], ["corruption perceptions index", "38# (Rank)", 2012, 181], ["ease of doing business index", "16# (Rank)", 2012, 190], ["global peace index", "28# (Rank)", 2011, 157], ["N/A", "-", 2006, 64], ["property rights index", "29# (Rank)", 2008, 118]]}, "Question": "Given the table data, what is the average rank of the indices, and furthermore, how many indices exceed this average rank?", "DatasetName": "TableBench", "Answer": ["24.38", "4"], "RawAnswer": "24.38, 4", "id": 46} | |
| {"Table": {"columns": ["year", "pakistanis admitted", "bangladeshis admitted", "sri lankans admitted", "nepalis admitted"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], "data": [["2000", "14576", "???", "6005", "254+"], ["2004", "13133", "3464", "4244", "610+"], ["2007", "9799", "2808", "4039", "579+"], ["2003", "12680", "1946", "4567", "452+"], ["2006", "12657", "3941", "4610", "657+"], ["2009", "6378", "4384", "4384", "644+"], ["2005", "13935", "4046", "-", "733+"], ["2010", "5118", "4480", "4293", "1542+"], ["2002", "14547", "2685", "5100", "429+"], ["2011", "6234", "2514", "3187", "1282+"], ["2012", "10193", "2514", "3236", "1346+"]]}, "Question": "What is the total number of Pakistanis admitted across all years, and how does it compare to the average number of Sri Lankans admitted per year, lower or higher?", "DatasetName": "TableBench", "Answer": ["119250", "higher"], "RawAnswer": "119250, higher", "id": 47} | |
| {"Table": {"columns": ["states", "females (%)", "males (%)", "females rank"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25], "data": [["india", 16.5, "12.3%", "15"], ["karnataka", 17.8, "14.4%", "9"], ["gujarat", 18.2, "15.9%", "7"], ["himachal pradesh", 20.1, "16.5%", "12"], ["west bengal", 7.3, "6.3%", "16"], ["nagaland", 10.5, "8.7%", "22"], ["orissa", 8.9, "7.1%", "25"], ["manipur", 17.6, "13.8%", "11"], ["jammu and kashmir", 11.4, "-", "5"], ["assam", 8.0, "6.9%", "21"], ["maharashtra", 18.6, "16.4%", "13"], ["goa", 27.8, "21.4%", "3"], ["arunachal pradesh", 12.9, "10.9%", "19"], ["kerala", 35.0, "25.0%", "2"], ["uttar pradesh", 12.4, "10.2%", "18"], ["tamil nadu", 25.1, "20.4%", "4"], ["rajasthan", 9.3, "8.7%", "20"], ["chattisgarh", 7.8, "6.7%", "27"], ["uttarakhand", 15.2, "11.7%", "14"], ["meghalaya", 9.2, "8.4%", "26"], ["haryana", 18.1, "14.8%", "6"], ["bihar", 10.8, "8.8%", "29"], ["mizoram", 20.9, "17.4%", "17"], ["punjab", 38.6, "31.2%", "N/A"], ["madhya pradesh", 6.9, "5.6%", "23"], ["jharkhand", 6.1, "5.5%", "28"]]}, "Question": "What is the average percentage of males across all states, and How many states have a female percentage greater than the male average?", "DatasetName": "TableBench", "Answer": ["13", "13"], "RawAnswer": "13, 13", "id": 48} | |
| {"Table": {"columns": ["driver", "make", "car", "points", "winnings"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40], "data": [["kasey kahne", "dodge", 9, "190", "$546069.00"], ["jeff burton", "chevrolet", 31, "155", "$177387.00"], ["sterling marlin", "chevrolet", 14, "75", "$92005.00"], ["jeff green", "chevrolet", 66, "117", "$137848.0"], ["dale earnhardt jr", "chevrolet", 8, "131", "$159460.00"], ["mike garvey", "chevrolet", null, "50", "$81499.000"], ["kevin lepage", "ford", 61, "69", "$88374.00"], ["tony stewart", "chevrolet", 20, "180", "$294978.000"], ["terry labonte", "chevrolet", 44, "91", "$98854.00"], ["michael waltrip", "dodge", 55, "88", "$112098.0"], ["clint bowyer", "chevrolet", 7, "109", "$119558.000"], ["jimmie johnson", "chevrolet", "N/A", "134", "$170116.0"], ["kyle busch", "chevrolet", 5, "122", "$133616.00"], ["jamie mcmurray", "ford", 26, "54", "$130913.0"], ["scott wimmer", "chevrolet", 4, "81", "$96897.0"], ["kyle petty", "dodge", 45, "47", "$89610.00"], ["dave blaney", "dodge", 22, "78", "$95249.000"], ["david stremme", "dodge", 40, "103", "$130844.0"], ["reed sorenson", "dodge", 41, "128", "$130475.0"], ["carl edwards", "ford", 99, "62", "$104210.00"], ["denny hamlin", "chevrolet", 11, "170", "$214755.00"], ["robby gordon", "chevrolet", 7, "106", "$112553.00"], ["scott riggs", "dodge", 10, "150", "$137866.0"], ["bobby labonte", "dodge", 43, "138", "$169137.00"], ["jj yeley", "chevrolet", 18, "65", "$121617.0"], ["dale jarrett", "ford", 88, "115", "$147651.00"], ["ryan newman", "dodge", 12, "44", "$128011.0"], ["joe nemechek", "chevrolet", 1, "97", "$132942.0"], ["jeff gordon", "chevrolet", 24, "100", "$152863.00"], ["tony raines", "chevrolet", 96, "94", "$99987.000"], ["elliott sadler", "ford", 38, "71", "Null"], ["kevin harvick", "chevrolet", 29, "165", "$210646.0"], ["ken schrader", "ford", 21, "118", "$144292.0"], ["derrike cope", "dodge", 74, "pe", "$81123.00"], ["casey mears", "dodge", 42, "125", "$154740.000"], ["travis kvapil", "chevrolet", 32, "84", "$108276.00"], ["matt kenseth", "ford", 17, "180", "$373365.0"], ["jeremy mayfield", "dodge", 19, "72", "$120398.0"], ["martin truex jr", "chevrolet", 1, "151", "$161306.000"], ["greg biffle", "ford", 16, "43", "$101826.0"], ["brian vickers", "chevrolet", 25, "35", "N/A"]]}, "Question": "What is number of all drivers who drive a Chevrolet, and what is the average points in these drivers?", "DatasetName": "TableBench", "Answer": ["21", "110.1"], "RawAnswer": "21, 110.1", "id": 49} | |
| {"Table": {"columns": ["# in office", "Days", "Rank"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "data": [["11", "4,512 days", "1"], ["1", "3,381 days", "4"], ["16", "1,731 days", "13"], ["7", "3,014 days", "5"], ["12", "3,014 days", "5"], ["10", "3,013 days", "8"], ["???", "3,002 days", "Null"], ["4", "1,507 days", "14"], ["14", "4,076 days", "2"], ["3", "3,007 days", "8"], ["17", "3,650 days", "3"], ["6", "3,007 days", "8"], ["13", "3,014 days", "8"], ["5", "1,507 days", "14"], ["???", "438 days", "17"]]}, "Question": "What is the average number of days served by individuals ranked in the top 5, and how many individuals have served more than 3,000 days but are ranked outside the top 5?", "DatasetName": "TableBench", "Answer": ["3607.83", "5"], "RawAnswer": "3607.83, 5", "id": 50} | |
| {"Table": {"columns": ["year", "mintage", "artist", "issue price"], "index": [0, 1, 2, 3, 4, 5, 6, 7], "data": [[2002, 69602, "dora de pΓ£dery - hunt", "$41.15 USD"], [2004, 47888, "???", "$41.150"], [2008, 41200, "mark hobson", "$49.39"], [2009, 41200, "chris jordison", "$49.390"], [2010, 37020, "arnold nogy", "$51.45 USD"], [2007, 41200, "kerri burnett", "$47.33"], [2011, 24090, "arnold nogy", "$51.450"], [2012, 35687, "arnold nogy", "$51.45"]]}, "Question": "What is the total mintage across all years for the artist 'arnold nogy', and what is the average issue price for coins for the artist?", "DatasetName": "TableBench", "Answer": ["96797", "51.45"], "RawAnswer": "96797, 51.45", "id": 51} | |
| {"Table": {"columns": ["election", "of candidates nominated", "of seats won", "% of popular vote"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "data": [["#1945", "203", "65.0", "27.62%"], ["Null", "282", "103.0", "32.49%"], ["1958", "265", "208.0", "53.56%"], ["1974", "264", "95.0", "35.46%"], ["1972", "265", "107.0", "35.02%"], ["1963", "265", "93.0", "32.72%"], ["1962", "265", "114.000", "37.22%"], ["1979", "282", "136.0", "35.89%"], ["1968", "262", "72.0", "31.36%"], ["1965", "265", "95.0", "32.41%"], ["1957", "256", "1.09e+2", "38.81%"], ["#1984", "282", "211.0", null], ["1988", "295", null, "43.02%"], ["1949", "249", "41.0", "29.62%"], ["N/A", "295", "2.0", "16.04%"], ["2000", "291", "12.0", "12.19%"]]}, "Question": "What is the total number of seats won across all elections where the percentage of popular vote is greater than 35%, and What is the average number of these seats?", "DatasetName": "TableBench", "Answer": ["769", "128.17"], "RawAnswer": "769, 128.17", "id": 52} | |
| {"Table": {"columns": ["south american rank", "2011 (imf)", "world rank", "2008 (cia factbook)"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8], "data": [[1, "$17897.0", null, 14935], [4, "$12779.000", 73.0, 13905], [3, "$1.5933e+4", 60.0, 12669], [6, "$9777.00", 88.0, 9167], [2, "$16656.00", 56.0, 15862], [5, "$10460.0", 84.0, 9270], [7, "$8585.0", 93.0, 7931], [8, "$7767.000", 98.0, 4120], [9, "$5714.0", 113.0, 4532]]}, "Question": "What is the average value of the '2011 (imf)' column for the top 5 South American ranked countries, and how does the average value of the '2008 (cia factbook)' column for the top 5 South American ranked countries compare to the average?", "DatasetName": "TableBench", "Answer": ["14745", "lower"], "RawAnswer": "14745, lower", "id": 53} | |
| {"Table": {"columns": ["rank", "name", "heat", "nationality", "time"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13], "data": [[1, "jason lezak", 2, "united states", "49.12s"], [10, "stefan nystrand", 1, "sweden", "49.53s"], [5, "eamon sullivan", 2, "australia", "49.470s"], [2, "filippo magnini", 1, "italy", "49.210s"], [4, "brent hayden", 2, "canada", "49.40s"], [11, "albert subirats altes", 2, "venezuela", "49.78s"], [3, "pieter van den hoogenband", 2, "netherlands", "49.33s"], [14, "christian galenda", 1, "italy", "49.92s"], [6, "ryk neethling", 1, "south africa", "49.48s"], [13, "dominik meichtry", 1, "switzerland", "49.88s"], [6, "Null", 2, "south africa", "49.48s"], [6, "cΓ©sar cielo filho", 2, "brazil", "49.48s"], [15, "Null", 1, "netherlands", "50.02s"], [16, "ashley callus", 2, "australia", "50.06s"]]}, "Question": "What is the average time for all swimmers in heat 2, and how many swimmers in heat 2 have a time faster than this average?", "DatasetName": "TableBench", "Answer": ["49.52", "2"], "RawAnswer": "49.52, 2", "id": 54} | |
| {"Table": {"columns": ["rank", "tosses / pyramids", "basic elements", "stunts", "deductions", "team name", "total"], "index": [0, 1, 2, 3, 4], "data": [[1, 71.2, 62.8, 69.1, "(13)", "school of saint anthony ssa seagulls", "$Null"], [5, 65.6, 56.3, 66.5, null, "pcc pep squad", "$211.8"], [2, 66.1, 66.1, 67.5, "(15)", "school of the holy spirit shs pep squad", "$248.900 (approx)"], [8, 57.9, 48.1, 58.8, "(35)", "the cmic fighting vanguards", "$166.20"], [9, 45.1, 47.6, 55.2, "(27)", "de la salle zobel dlsz pep squad and cheerdancers", "$165.7 (estimated)"]]}, "Question": "What is the average total score for all teams in the table, and how many teams' total score are greater than the average total score?", "DatasetName": "TableBench", "Answer": ["198.15", "2"], "RawAnswer": "198.15, 2", "id": 55} | |
| {"Table": {"columns": ["rank", "chinese title", "finale", "premiere", "english title", "peak", "hk viewers"], "index": [0, 1, 2, 3, 4, 5, 6, 7], "data": [[1, "ε₯³δΊΊεζε", "Null", "-", "la femme desperado", "42.0", "HK$2.20 million"], [6, "θ₯η°εδΊ", 33, 33, "to grow with love", "36.00", "HK$2.10 million"], [2, "ζ³θε ι", 38, 29, "forensic heroes", "44.00", "HK$2.17 million"], [5, "η«θι»ζ²", null, 35, "the dance of passion", "39.0", "HK$2.11 million"], [4, "ζζ ε ¨δΏ", "N/A", 31, "love guaranteed", "37.000", "HK$2.13 million"], [3, "η₯ι΅°δΏ δΎΆ", 36, 33, "the saviour of the soul", "4.1e+1", "HK$2.13 million"], [7, "η·δΊΊδΉθ¦", 34, 29, "men in pain", "40.000", "HK$2.09 million"], [8, "倩εΉδΈηζδΊΊ", 34, 29, "under the canopy of love", "38.0", "HK$2.08 million"]]}, "Question": "What is the average viewership in HK dollars for the top 5 ranked shows, and how many shows have a premiere rating above 40.00?", "DatasetName": "TableBench", "Answer": ["2.15", "2"], "RawAnswer": "2.15, 2", "id": 56} | |
| {"Table": {"columns": ["series", "season", "production code", "title", "written by", "directed by", "us viewers (million)"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18], "data": [[118, 1, 601, "my mirror image (part 2)", "tim hobert", "john inwood", "$8.45 (approx)"], [132, 15, 615, "my long goodbye (part 2)", "dave tennant", "victor nelli , jr", "$4.89"], [123, 6, 607, "my musical", "debra fordham", "will mackenzie", "$6.57"], [122, 5, 605, "my friend with money", "gabrielle allan", "john michel", "null"], [133, 16, 616, "my words of wisdom", "eric weinberg", "victor nelli , jr", "$5.02"], [129, 12, 611, "my fishbowl", "kevin biegel", "chris koch", "$5.89"], [120, 3, 602, "my coffee", "tad quill", "rick blue", "$7.78"], [128, 11, 614, "my night to remember", "debra fordham", "richard davis", "$6.80"], [119, 2, 603, "my best friend 's baby 's baby and my baby 's baby", "neil goldman & garrett donovan", "gail mancuso", "$8.43"], [134, 17, 617, "their story", "andy schwartz", "richard alexander wells", "$5.56"], [121, 4, 604, "my house", "bill callahan", "john putch", "$7.33"], [127, 10, 610, "my therapeutic month", "aseem batra", "ken whittingham", "$5.69"], [126, 9, 609, "my perspective", "angela nissel", "john putch", "$6.26"], [131, 14, 613, "my no good reason (part 1)", "janae bakken", "zach braff", "$6.48"], [130, 13, 612, "my scrubs", "clarence livingston", "john putch", "$6.37"], [135, 18, 618, "my turf war", "sean russell", "bill lawrence", "$4.65"], [124, 7, 606, "his story iv", "mike schwartz", "linda mendoza", "$6.88"], [137, 20, 620, "my conventional wisdom", "bill callahan", "michael mcdonald", "$5.31"], [138, 21, 621, "my rabbit (part 1)", "kevin biegel & aseem batra", "john putch", "$5.21"]]}, "Question": "What is the average number of US viewers (in millions) for episodes directed by 'John Putch', and how does this average compare to the overall average number of US viewers across all episodes, lower or higher?", "DatasetName": "TableBench", "Answer": ["6.29", "lower"], "RawAnswer": "6.29, lower", "id": 57} | |
| {"Table": {"columns": ["series", "lowest viewers (millions)", "presenters", "end date", "highest viewers (millions)", "start date", "winner", "average viewers (millions)"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], "data": [["one", "6.32", "ant & dec", "8 september 2002", "$11.27", "25 august 2002", "tony blackburn", "7.81"], ["eight", "8.15", "ant & dec", "5 december 2008", "$10.5", "16 november 2008", "joe swash", "9.04"], ["two", "5.3", "ant & dec", "12 may 2003", "$13.13 approx.", "28 april 2003", "phil tufnell", "8.81"], ["three", "9.23", "ant & dec", "9 february 2004", "$15.440", "26 january 2004", "kerry katona", "11.35"], ["six", "7.18", "ant & dec", "1 december 2006", "$10.35", "13 november 2006", "matt willis", "8.25"], ["four", "7.25", "ant & dec", "6 december 2004", "$11.77", "21 november 2004", "joe pasquale", "8.92"], ["ten", "6.88", "ant & dec", "4 december 2010", "$13.88", "14 november 2010", "stacey solomon", "9.99"], ["five", "7.92", "ant & dec", "5 december 2005", "$12.720", "20 november 2005", "carol thatcher", "9.7"], ["eleven", "7.0", "ant & dec", "3 december 2011", "$12.15", "13 november 2011", "dougie poynter", "10.03"], ["N/A", "8.04", "ant & dec", "1 december 2012", "$11.86", "11 november 2012", "charlie brooks", "10.1"]]}, "Question": "Can you calculate the average of the highest viewers across all series, and furthermore, determine how this average compares to the average viewers of the series with the highest average viewers, lower or higher?", "DatasetName": "TableBench", "Answer": ["12.31", "higher"], "RawAnswer": "12.31, higher", "id": 58} | |
| {"Table": {"columns": ["district", "area ( has )", "population (2010 census)", "pop density (per km2)"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], "data": [["binondo", 67.23, 13244, "20034.30%"], ["quiapo", 86.13, 25384, "29972.5e+0%"], ["N/A", 170.87, 118260, "70385.000%"], ["santa ana", 172.28, 62171, "36696.40%"], ["san nicolas", 166.63, 45126, "27540.900%"], ["intramuros", 68.39, 5023, "7468.7e+0%"], ["port area", 320.62, 58553, "18571.800%"], ["santa cruz", 314.16, 118061, "38206.50%"], ["ermita", 161.54, 7286, "4584.900%"], ["san miguel", 92.89, 16312, "17852.60%"], ["sampaloc", 522.43, 246358, "47956.70%"], ["paco", 283.43, 72397, "25977.80%"], ["santa mesa", 265.43, 101932, "39052.70%"]]}, "Question": "Based on the 2010 census, what is the total population across all districts? Furthermore, how does this total population help in calculating the average population density per km2, considering the total area of all districts?", "DatasetName": "TableBench", "Answer": ["890107", "2.32"], "RawAnswer": "890107, 2.32", "id": 59} | |
| {"Table": {"columns": ["School", "Runners-Up", "Total Finals", "Location", "Shared Titles", "Last Title", "Last Final"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21], "data": [["Methodist College Belfast", 26, "64+", "Belfast", 2, 2014.0, 2014], ["Campbell College", 13, "40+", "Belfast", 4, 2011.0, 2011], ["Foyle College", 4, "6+", "Londonderry", 0, 1915.0, 1915], ["Royal School Dungannon", 4, "5+", "Dungannon", 0, 1907.0, 1975], ["Dalriada School", 1, "1+", "Ballymoney", 0, null, 1993], ["Galway Grammar School", 1, "1+", "Galway", 0, null, 1887], ["Portora Royal School", 5, "12+", "Enniskillen", 1, 1942.0, 1942], ["Annadale Grammar School (now Wellington College)", 1, "2+", "Belfast", 0, 1958.0, 1978], ["Derry Academy", 2, "2+", "Derry", 0, null, 1896], ["Lurgan College", 1, "1+", "Lurgan", 0, null, 1934], ["Belfast Royal Academy", 5, "9+", "Belfast", 3, 1997.0, 2010], ["Bangor Grammar School", 4, "9+", "Bangor", 0, 1988.0, 1995], ["Belfast Boys' Model School", 0, "1+", null, 0, 1971.0, 1971], ["Ballymena Academy", 6, "9+", "Ballymena", 0, 2010.0, 2010], ["Wallace High School", 4, "4+", "Lisburn", 0, null, 2007], ["Ballyclare High School", 1, "2+", "Ballyclare", 0, 1973.0, 2012], ["Royal Belfast Academical Institution", 22, "56+", "Belfast", 4, 2007.0, 2013], ["Grosvenor High School", 0, "1+", "Belfast", 0, 1983.0, 1983], ["The Royal School, Armagh", 3, "12+", "Armagh", 0, 2004.0, 2004], ["Coleraine Academical Institution", 25, "34+", "Coleraine", 0, 1992.0, 1998], ["Omagh Academy", 1, "1+", "Omagh", 0, null, 1985], ["Sullivan Upper School", 1, "1+", "Holywood", 0, null, 2014]]}, "Question": "What is the total number of runners-up for schools located in Belfast, and how does this compare to the total number of runners-up for schools in all other locations combined, lower or higher?", "DatasetName": "TableBench", "Answer": ["67", "higher"], "RawAnswer": "67, higher", "id": 60} | |
| {"Table": {"columns": ["commodity", "2005 - 06", "2002 - 03", "2004 - 05", "2001 - 02", "2006 - 07"], "index": [0, 1, 2, 3, 4, 5, 6, 7], "data": [["cattle and calves", null, 6024, 7551, 6815.0, "$6712.00"], ["wheat", 6082.0, 2772, 4449, 6546.0, "$6206.0"], ["s vegetable", 2679.0, 2189, 2564, 2337.0, "$2796.0"], ["wool", 2252.0, 3417, "Null", 2794.0, "$2202.00"], ["fruit and nuts", 2878.0, 2480, 2719, 2402.0, "$3002.00"], ["milk", 3366.0, 2878, 3289, 3828.0, "$3342.000"], ["barley", 1796.0, 1013, 1277, 1776.0, "$1672.0"], ["sugar cane", 1068.0, 1049, 997, 1018.0, "$1244.000"]]}, "Question": "What is the total production value of 'cattle and calves' across all years, excluding null values, and how does this total compare to the average production value of all commodities in the table, lower or higher?", "DatasetName": "TableBench", "Answer": ["27102", "higher"], "RawAnswer": "27102, higher", "id": 61} | |
| {"Table": {"columns": ["sno", "state", "commissioned capacity (mw)", "year of commission"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13], "data": [[1, "himachal pradesh", "Β±185.0", 1981.0], [7, "jammu & kashmir", "Β±494.00", 1997.0], [2, "manipur", "Β±108.00", 1983.0], [8, "sikkim", "Β±62.0", 1999.0], [10, "madhya pradesh", "Β±1.03e+3", 2005.0], [14, "sikkim", "Β±525.0", 2008.0], [9, "himachal pradesh", "Β±309.000", 2004.0], [6, "jammu & kashmir", "Β±355.0", 1996.0], [13, "madhya pradesh", "Β±535.00", 2007.0], [3, "jammu & kashmir", "Β±3.55e+2", 1987.0], [12, "jammu & kashmir", "Β±401.0", 2007.0], [5, "himachal pradesh", "Β±556.000", 1994.0], [15, "jammu & kashmir", "Β±123.000", 2010.0], [16, "himachal pradesh", "Β±238.0", 2012.0]]}, "Question": "What is the total commissioned capacity (in MW) for all states in the table, and what is the difference between this total with the average commissioned capacity per state?", "DatasetName": "TableBench", "Answer": ["5276", "4899.14"], "RawAnswer": "5276, 4899.14", "id": 62} | |
| {"Table": {"columns": ["region", "r x ( arcsecond )", "s ( ppm )", "r y ( arcsecond )", "c_x ( metre )", "c_z (metre)", "target datum", "r z ( arcsecond )"], "index": [0, 1, 2, 3, 4, 5], "data": [["slovenia etrs89", "3.1", "18.3 ppm", "5.5", "+417.0", "495.0", "d96", "11.3"], ["england , scotland , wales", "???", "20.9 ppm", "0.25", "455.000", "552.0", "osgb36", "0.85"], ["ireland", "-", "8.3 ppm", "0.22", "4.92e+2", "575.0", "ireland 1965", "0.64"], ["germany", "1.06", "8.5 ppm", "N/A", "593.0", "422.0", "bessel 1841", "3.14"], ["germany", "0.021", "1.12 ppm", "0.27", "-24.0", "96.0", "krassovski 1940", "0.13"], ["austria (bev)", "5.14", "2.47 ppm", "1.48", "588.000", "472.0", "mgi", "5.3"]]}, "Question": "What is the average value of 'r x (arcsecond)' across all regions where the value is not missing or invalid, and how does this average compare to the average value of 'r z (arcsecond)' in the table?", "DatasetName": "TableBench", "Answer": ["2.33", "lower"], "RawAnswer": "2.33, lower", "id": 63} | |
| {"Table": {"columns": ["party", "total elected 2001", "pr seats", "total seats"], "index": [0, 1, 2, 3, 4, 5, 6, 7], "data": [["liberal democratic party", 67, "#21.0 seats", 114], ["communist party", 5, "???", 21], ["democratic party", 27, "#8.00 seats", 61], ["new conservative party", 1, "#1.00 seats", 5], ["social democratic party", 3, "#3.0 seats", 8], ["liberal party", 6, "#4.000 seats", 8], ["independents", 0, "#0.0 seats", 4]]}, "Question": "What is the total number of seats won by all parties except the independents, and what percentage of the total seats does the liberal democratic party hold, given the total number of seats?", "DatasetName": "TableBench", "Answer": ["217", "28.11"], "RawAnswer": "217, 28.11", "id": 64} | |
| {"Table": {"columns": ["type", "weight (kg / m)", "cross - section area (cm 2 )", "web thickness (mm)", "beam height (mm)", "flange width (mm)", "moment of inertia in torsion (j) (cm 4 )"], "index": [0, 1, 2, 3, 4, 5], "data": [["ismb 80", "$6.2 approx.", 7.8, 3.9, 82, 47, 0.72], ["ismb 140", "$13.2 est.", 16.7, 4.8, 143, "???", 2.6], ["ismb 120", "$10.600", 13.5, 4.5, 123, 72, 1.75], ["ismb 750 137", "$140.00", 178.0, 11.8, 770, 269, 140.0], ["ismb 750 147", "$150.000", 191.0, 13.5, 770, 271, 165.0], [null, "$177.0", 225.0, 14.7, 780, 273, 280.0]]}, "Question": "What is the average weight per meter for the beams listed in the table, excluding the row with missing type information, and how does this average compare to the weight of the beam with the highest moment of inertia in torsion, lower or higher?", "DatasetName": "TableBench", "Answer": ["82.83", "lower"], "RawAnswer": "82.83, lower", "id": 65} | |
| {"Table": {"columns": ["draw", "singer", "song", "place"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "data": [["#1.0", "manjola nallbani", "kjo botë merr frymë nga dashuria", "7"], ["#6.000000", "flaka krelani & doruntina disha", "jeta kërkon dashuri", "2"], ["#10.000000000", "devis xherahu", "endacaku", "17"], ["#15.0000000000000", "jonida maliqi", "s'ka fajtor në dashuri", "4"], ["#9.00000000", "kozma dushi", "tatuazh në kujtesë", "16"], ["#5.00000", "greta koçi", "natën të kërkova", "6"], ["#14.000000000000", "agim poshka", "kujt i them të dua", "12"], ["#3.000", "eneida tarifa", "e para letër", "10"], ["#2.00", "produkt 28", "30 sekonda", "15"], ["#12.00000000000", "samanta karavello", "pse u harrua dashuria", "8"], ["#8.0000000", "kthjellu", "dhoma", "11"], ["#4.0000", "mariza ikonomi", "mall i tretur", "9"], ["#11.0000000000", "teuta kurti", "qyteti i dashurisë", "14"], ["#16.00000000000000", "olta boka", "zemrën e lamë peng", "1"], ["#17.000000000000000", "rosela gjylbegu", "po lind një yll", "13"]]}, "Question": "What is the average place value for all singers in the table, and how many singers have a place value higher than this average?", "DatasetName": "TableBench", "Answer": ["9.67", "8"], "RawAnswer": "9.67, 8", "id": 66} | |
| {"Table": {"columns": ["polling firm", "progressive conservative", "link", "date of polling", "new democratic"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "data": [["corporate research associates", "$60.0 (estimated)", "html", "september 29 - october 3 , 2011", "???"], ["corporate research associates", "$78.0 (approx)", "pdf", "august 11 - 29 , 2009", "8"], ["corporate research associates", "$77.0 (estimated)", "pdf", "august 10 - 30 , 2010", "7"], ["corporate research associates", "$74.0", "pdf", "february 10 - 28 , 2011", "8"], ["corporate research associates", "$78.000", "pdf", "november 5 - 22 , 2009", "7"], ["corporate research associates", "$76.000", "pdf", "november 9 - 30 , 2010", "8"], ["corporate research associates", "$73.00", "pdf", "may 12 - 30 , 2009", "8"], ["environics", "$55.00", "html", "september 29 - october 4 , 2011", "33"], ["corporate research associates", "$58.00", "pdf", "may 11 - 28 , 2011", "20"], ["corporate research associates", "$55.0 (approx)", "pdf", "august 15 - 31 , 2011", "N/A"], ["corporate research associates", "$76.00", "pdf", "may 11 - 31 , 2010", "8"], ["corporate research associates", "$79.0 (estimated)", "pdf", "august 12 - 30 , 2008", "7"], ["corporate research associates", "$73.000", "pdf", "november 5 - december 2 , 2008", "9"], ["corporate research associates", "$81.0", "pdf", "february 9 - 25 , 2010", "5"], ["corporate research associates", "$72.0", "pdf", "february 11 - 28 , 2009", "7"], ["marketquest omnifacts research", "$54.000", "html", "september 16 - 19 , 2011", "29"], ["corporate research associates", "$78.00", "pdf", "may 8 - june 1 , 2008", "8"], ["corporate research associates", "$83.0", "pdf", "november 9 - december 3 , 2007", "7"]]}, "Question": "What is the average value of the progressive conservative where the polling firm is corporate research associates, and how does this average compare to the average value for all other polling firms, higher or lower?", "DatasetName": "TableBench", "Answer": ["74.07", "higher"], "RawAnswer": "74.07, higher", "id": 67} | |
| {"Table": {"columns": ["Position", "Played", "Wins", "Goals for", "Club", "Losses", "Goals against", "Goal Difference"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "data": [[1, 38, 23.0, "+57.0", "UE Lleida", 4, 20, 37], [11, 38, 14.0, "+38.0", "CD Badajoz", 16, 36, 2], [9, 38, 13.0, "+44.0", "CP MΓ©rida", 12, 42, 2], [13, 38, 13.0, "+39.0", "Villarreal CF", 17, 51, -14], [7, 38, 17.0, "+46.0", "AtlΓ©tico Marbella", 13, 41, 5], [14, 38, 12.0, "+34.00", "PalamΓ³s CF", 17, 50, -17], [12, 38, 10.0, "+36.000", "SD Compostela", 13, 39, -4], [5, 38, 16.0, "+50.0", "Real Betis", 11, 33, 17], [10, 38, 13.0, "+41.00", "CD CastellΓ³n", 15, 45, -5], [15, 38, 9.0, "+34.0", "Athletic de Bilbao B", 14, 34, -1], [17, 38, 11.0, "+42.000", "UE Figueres", 17, 59, -18], [18, 38, 7.0, "+24.0", "CD Lugo", 20, 41, -18], [2, 38, 20.0, "+51.00", "Real Valladolid", 6, 30, 21], [6, 38, 15.0, "+58.00", "Real Madrid B", 11, 41, 17], [4, 38, 21.0, "+58.000", "RCD Mallorca", 9, 34, 24], [8, 38, 15.0, "+60.000", "Barcelona B", 14, 55, 5], [19, 38, 7.0, "+30.00", "Sestao", 21, 54, -25], [20, 38, 8.0, "+31.0", "CE Sabadell FC 1", 22, 57, -27]]}, "Question": "What is the average number of wins for clubs in the top 10 positions, and What is the difference between this value compare to the average number of wins for clubs in the bottom 10 positions?", "DatasetName": "TableBench", "Answer": ["17", "6.89"], "RawAnswer": "17, 6.89", "id": 68} | |
| {"Table": {"columns": ["Rank", "Nation", "Gold", "Bronze", "Total"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56], "data": [["1", "Russia", "$17.0", "5", "27"], ["6", "Latvia", "$1.000", "0", "1"], ["13", "Azerbaijan", "$0.00", "0", "1"], ["21", "Cameroon", "$0.0", "0", "0"], ["21", "Algeria", "$0.0", "0", "0"], ["21", "Kyrgyzstan", "$0.000", "0", "0"], ["21", "Malaysia", "$0.00", "0", "0"], ["21", "Panama", "$0.00", "0", "0"], ["21", "Peru", "$0.000", "0", "0"], ["9", "Mongolia", "$0.0", "4", "6"], ["21", "Israel", "$0.00", "0", "0"], ["21", "Turkey", "$0.000", "0", "0"], ["2", "Bulgaria", "$5.00", "3", "10"], ["21", "N/A", "$0.0", "0", "0"], ["5", "Kazakhstan", "$1.00", "3", "5"], ["21", "Indonesia", "$0.000", "0", "0"], ["21", "Canada", "$0.00", "0", "0"], ["17", "Tajikistan", "$0.00", "1", "1"], ["21", "Nepal", "$0.00", "0", "0"], ["21", "India", "$0.00", "0", "0"], ["11", "Japan", "$0.000", "3", "3"], ["21", "Syria", "$0.00", "0", "0"], ["21", "Morocco", "$0.000", "0", "0"], ["21", "United States", "$0.0", "0", "0"], ["13", "Romania", "$0.00", "0", "1"], ["21", "Italy", "$0.000", "0", "0"], ["21", "Thailand", "$0.0", "0", "0"], ["21", "Colombia", "$0.000", "0", "0"], ["21", "Ireland", "$0.0", "0", "0"], ["21", "Belgium", "$0.000", "0", "???"], ["4", "Ukraine", "$1.0", "11", "14"], ["21", "Pakistan", "$0.0", "0", "0"], ["21", "Great Britain", "$0.0", "0", "0"], ["21", "Moldova", "$0.0", "0", "0"], ["21", "Slovenia", "$0.000", "0", "0"], ["21", "Austria", "$0.00", "0", "0"], ["13", "France", "$0.000", "0", "1"], ["21", "South Korea", "$0.00", "0", "0"], ["21", "Czech Republic", "$0.0", "0", "0"], ["7", "Uzbekistan", "$0.0", "4", "7"], ["8", "Venezuela", "$0.000", "3", "6"], ["13", "Germany", "$0.0", "0", "1"], ["3", "Belarus", "$2.000", "2", "8"], ["17", "Turkmenistan", "$0.000", "1", "1"], ["17", "Serbia", "$0.000", "1", "1"], ["8", "Lithuania", "$0.00", "6", "7"], ["21", "Poland", "$0.0", "0", "0"], ["17", "Spain", "$0.0", "1", "1"], ["21", "Tunisia", "$0.00", "0", "0"], ["21", "Lebanon", "$0.0", "0", "0"], ["21", "Cyprus", "$0.00", "0", "0"], ["21", "New Zealand", "$0.000", "0", "0"], ["21", "Ecuador", "$0.000", "0", "0"], ["12", "Estonia", "$0.0", null, "2"], ["10", "Armenia", "$0.00", "3", "4"], ["21", "Yemen", "$0.00", "Null", "0"]]}, "Question": "What is the total number of bronze medals won by nations ranked in the top 10, and how does this compare to the total bronze medals won by all other nations?", "DatasetName": "TableBench", "Answer": ["44", "86.27"], "RawAnswer": "44, 86.27", "id": 69} | |
| {"Table": {"columns": ["rank", "nation", "silver", "bronze", "total"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23], "data": [["1", "south korea", "+1.0 (silver)", 1, 13], ["11", "indonesia", "+1.000 (silver)", 0, 1], ["9", "brazil", "+2.00 (silver)", 0, 2], ["14", "egypt", "+0.00 (silver)", 2, 2], ["11", "denmark", "+1.00 (silver)", 0, 1], ["3", "chinese taipei", "+1.000 (silver)", 2, 4], ["10", "venezuela", "+1.0 (silver)", 1, 2], ["16", "cyprus", "+0.00 (silver)", 1, 1], ["16", "philippines", "+0.000 (silver)", 1, 1], ["6", "mexico", "+2.00 (silver)", 2, 4], ["16", "nigeria", "+0.00 (silver)", 1, 1], ["16", "malaysia", "+0.0 (silver)", 1, 1], ["16", "puerto rico", "+0.0 (silver)", 1, "N/A"], ["7", "greece", "+2.0 (silver)", 1, 3], ["7", "canada", "+2.000 (silver)", 1, 3], ["2", "-", "+1.00 (silver)", 2, 6], ["16", "finland", "+0.000 (silver)", 1, 1], ["13", "united states", "+0.0 (silver)", 4, 4], ["14", "germany", "+0.000 (silver)", 2, 2], ["16", "colombia", "+0.0 (silver)", 1, 1], ["5", "turkey", "+2.0 (silver)", 3, 5], ["4", "france", "+0.0 (silver)", 1, 2], ["16", "sweden", "+0.00 (silver)", 1, 1], ["total", "total", "+16.0 (silver)", 32, 64]]}, "Question": "What is the total number of silver medals awarded across all nations, and how does this compare to the total number of bronze medals, lower or higher? Given that the total number of silver medals is 16.", "DatasetName": "TableBench", "Answer": ["16", "lower"], "RawAnswer": "16, lower", "id": 70} | |
| {"Table": {"columns": ["rank", "bronze", "silver", "nation", "total"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], "data": [[1, 29, "$34.00", "germany", 109], [12, 1, "$1.000", "latvia", 4], [5, 12, "$13.000", "west germany", 36], [16, 0, "$???", "czechoslovakia", 2], [4, 32, "$21.00", "united states", 65], [17, 2, "$0.000", "sweden", 2], [7, 8, "$9.00", "east germany", 25], [3, 6, "$19.0", "italy", 44], [10, 4, "$5.0", "russia", "???"], [8, 4, "$6.000", "great britain", 17], [11, 2, "$2.00", "romania", 6], [15, 1, "$0.00", "new zealand", 2], [13, 1, "$1.0", "belgium", 3], [2, 33, "$36.000", "switzerland", 109], [6, 12, "$11.0", "canada", 34], [17, 2, "$0.0", "soviet union", 2], [19, 1, "$0.00", "spain", 1]]}, "Question": "What is the total number of bronze medals won by nations ranked in the top 5, and What is the difference between this value and the total number of bronze medals won by all other nations in the table?", "DatasetName": "TableBench", "Answer": ["112", "74"], "RawAnswer": "112, 74", "id": 71} | |
| {"Table": {"columns": ["rank", "nation", "silver", "bronze", "total"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8], "data": [["1", "italy", "$4.00", 2, 11], ["7", "slovenia", "$0.000", 1, 2], ["6", "turkey", "$1.00", 0, 2], ["3", "egypt", "$0.0", 2, 4], ["5", "tunisia", "$1.0", 5, 7], ["4", "algeria", "$4.000", 4, 9], ["8", "serbia and montenegro", "$1.0", 2, 3], ["10 =", "Null", "$0.0", 1, 1], ["10 =", "morocco", "$0.00", "???", 1]]}, "Question": "What is the total number of silver medals won by nations ranked in the top 5, and What is the difference between this and the total number of bronze medals won by the same nations?", "DatasetName": "TableBench", "Answer": ["9", "8"], "RawAnswer": "9, 8", "id": 72} | |
| {"Table": {"columns": ["rank", "bronze", "gold", "silver"], "index": [0, 1, 2, 3, 4, 5, 6, 7], "data": [[1, 33, "$51.0 (approx)", 42], [2, 21, "$19.00", 24], [8, 16, "$6.00", 15], [6, 3, "$8.000", 8], [7, 11, "$7.0", 3], [5, 2, "N/A", 5], [9, 5, "$5.000", 2], [10, 4, "N/A", 6]]}, "Question": "What is the total number of medals awarded to the top-ranked country, and what proportion of this compare to the sum of total medals across all countries?", "DatasetName": "TableBench", "Answer": ["126", "42.57"], "RawAnswer": "126, 42.57", "id": 73} | |
| {"Table": {"columns": ["Rank", "Silver", "Nation", "Bronze", "Total"], "index": [0, 1, 2, 3, 4, 5, 6, 7], "data": [[1, "+47.0 medals", "China", 33, 145], [7, "+28.000 medals", "Spain", 25, 73], [5, "+39.0 medals", "Australia", 37, 103], [6, "+12.00 medals", "Ukraine", 20, 57], [3, "+20.00 medals", "Canada", 26, 74], [4, "+23.000 medals", "United States", 40, 90], [9, "+27.0 medals", "France", 31, 76], [10, "+17.00 medals", "Japan", "N/A", 55]]}, "Question": "What is the average number of Bronze medals won by the nations in the table, and how many nations have a Bronze medal count greater than this average?", "DatasetName": "TableBench", "Answer": ["30.29", "4"], "RawAnswer": "30.29, 4", "id": 74} | |
| {"Table": {"columns": ["Rank", "Nation", "Gold", "Bronze", "Total"], "index": [0, 1, 2, 3, 4, 5, 6, 7], "data": [["1", "Venezuela", "$9.00 (Gold)", "N/A", "23"], ["5", "El Salvador", "$4.00 (Gold)", "2", "6"], ["7", "Bolivia", "$2.0 (Gold)", "2", "5"], ["8", "Dominican Republic", "$1.00 (Gold)", "2", "3"], ["3", "Peru", "$5.000 (Gold)", "9", "22"], ["2", "Guatemala", "$6.0 (Gold)", "6", "18"], ["9", "Colombia", "$0.0 (Gold)", "3", "Null"]]}, "Question": "What is the total number of Gold medals awarded across all nations in the table, and what is the difference between this total and the total number of Bronze medals?", "DatasetName": "TableBench", "Answer": ["27", "3"], "RawAnswer": "27, 3", "id": 75} | |
| {"Table": {"columns": ["season", "podiums", "wins", "series", "poles", "f / laps", "position"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], "data": [["2007", 1, "+0.0 wins", "formula first manfeild winter series", 0, 1, "14th"], ["2009", 2, "+2.0 wins", "toyota racing series - hamilton 400 trophy", 2, 1, "1st"], ["2008", 0, "+0 wins", "australian formula ford championship", 0, 0, "nc"], ["2010", 3, "+??? wins", "toyota racing series", 0, 2, "10th"], ["2007 - 08", 18, "+4.00 wins", "oem supply nz formula first championship", 1, 5, "3rd"], ["2009", 6, "+1.00 wins", "australian formula ford championship", 0, 2, "6th"], ["2008 - 09", 15, "+11.0 wins", "mta formula ford championship", 3, 4, "1st"], ["2009", 2, "+0 wins", "adac formel masters", 1, 0, "8th"], ["2011", 16, "+13.000 wins", "german formula three championship", 10, 8, "1st"], ["2008", 7, "+5.000 wins", "formula ford manfeild winter series", 1, 3, "3rd"], ["2011", 1, "+1.0 wins", "gp3 series", 0, 0, "20th"], ["2012", 0, "+0 wins", "formula renault 3.5 series", 0, 0, "22nd"]]}, "Question": "What is the total number of podiums achieved across all seasons, and how does this total compare to the total number of wins across all seasons, lower or higher?", "DatasetName": "TableBench", "Answer": ["71", "higher"], "RawAnswer": "71, higher", "id": 76} | |
| {"Table": {"columns": ["Rank", "Silver", "Gold", "Nation", "Total"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "data": [[1, 28, "$17.0 (Gold Medals)", "Puerto Rico", 58], [2, 9, "$9.00 (Gold Medals)", "MΓ©xico", 23], [3, 6, "$8.000 (Gold Medals)", "Jamaica", 18], [4, 3, "$7.0 (Gold Medals)", "Barbados", 16], [5, 2, "$7.00 (Gold Medals)", "Trinidad and Tobago", 11], [6, 3, "$3.0 (Gold Medals)", "Venezuela", 14], [15, 1, "$0.00 (Gold Medals)", "PanamΓ‘", 3], [7, 1, "$3.000 (Gold Medals)", "Colombia", 6], [8, 1, "$1.0 (Gold Medals)", "U.S. Virgin Islands", 5], [12, 0, "$1.0 (Gold Medals)", "Suriname", 1], [14, 2, "$0.0 (Gold Medals)", "Dominican Republic", 6], [11, 0, "$1.000 (Gold Medals)", "Antigua and Barbuda", 2], [10, 1, "$1.00 (Gold Medals)", "Martinique", 2], [16, 0, "$0.000 (Gold Medals)", "Cayman Islands", 2], [16, 0, "$0.0 (Gold Medals)", "Saint Kitts and Nevis", 2]]}, "Question": "What is the total number of silver medals won by the top 5 ranked nations, and what is the difference between this value and the total number of gold medals won by the same nations?", "DatasetName": "TableBench", "Answer": ["48", "0"], "RawAnswer": "48, 0", "id": 77} | |
| {"Table": {"columns": ["player", "average", "100s", "matches", "highest score", "runs", "50s"], "index": [0, 1, 2, 3, 4, 5, 6, 7], "data": [["lionel palairet", 32.04, 1, 10.0, 103, "$575.00", 5], ["herbie hewett", 18.98, 0, 12.0, 67, "$398.00", 2], ["richard palairet", 19.52, 0, 10.0, 76, "$273.000", 1], ["sammy woods", 18.82, 0, 11.0, 51, "$339.0", 1], ["vernon hill", 12.58, 0, 9.0, 32, "N/A", 0], ["john challen", 25.98, 0, 9.0, "-", "$364.0", 2], ["george nichols", 10.56, 0, 12.0, 38, "$222.00", 0], ["ted tyler", 10.14, 0, 12.0, 63, "$172.0", 1]]}, "Question": "What is the total number of matches played by all players in the table, and what is the average number of matches per player, given the total number of matches?", "DatasetName": "TableBench", "Answer": ["85", "10.63"], "RawAnswer": "85, 10.63", "id": 78} | |
| {"Table": {"columns": ["Unnamed: 0", "1948", "1952", "1960", "1964"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18], "data": [["all voters", 51.5, 46.35, 51.5, "62.83%"], ["High School educated", 52.53, 46.35, 53.56, "63.86%"], ["Union member", 78.28, null, 63.86, "79.31%"], ["East", 49.44, 46.35, 54.59, "70.04%"], ["Democrat", null, 79.31, 86.52, "89.61%"], ["Midwest", 51.5, 43.26, 49.44, "62.83%"], ["Not union", 43.26, null, 45.32, "57.68%"], ["Catholic", 63.86, 57.68, 80.34, "78.28%"], ["White", 51.5, 44.29, 50.47, "60.77%"], ["College educated", 22.66, 35.02, 40.17, "53.56%"], ["Farmer", 61.8, 33.99, 49.44, "54.59%"], ["White Collar", 48.41, 41.2, 49.44, "58.71%"], ["Grade School educated", 65.92, 53.56, 56.65, "67.98%"], ["Independent", null, 36.05, 44.29, "57.68%"], ["Protestant", 44.29, 38.11, 39.14, "56.65%"], ["Black", 51.5, 81.37, 70.04, "96.82%"], ["Manual worker", 67.98, 56.65, 61.8, "73.13%"], ["West", 50.47, 43.26, 50.47, "61.8%"], ["South", 54.59, 52.53, 52.53, "53.56%"]]}, "Question": "What is the average voter turnout percentage for all voters across the years 1948, 1952, 1960, and 1964, and how does it compare to the average voter turnout percentage for High School educated voters across the same years, lower or higher?", "DatasetName": "TableBench", "Answer": ["53.05", "lower"], "RawAnswer": "53.05, lower", "id": 79} | |
| {"Table": {"columns": ["shirt number", "games played", "2 - points", "3 - points", "player name", "free throw"], "index": [0, 1, 2, 3, 4, 5, 6], "data": [[11, 13, "$31.0 (estimated)", 0, "alpha ibrahim koroma", "-"], [18, 9, "$2.00", 0, "ibrahim bakarr kamara", 0], [17, 6, "$2.0 (approx)", 3, "ibrahim kallon", 1], [14, 7, "$4.000", 0, "abdulai bangura", 0], [13, 6, "$6.00", 0, "samuel juah", 1], [22, 10, "$43.0 (high)", 15, "alpha ambrose kargbo", 3], [33, 4, "$12.00", 0, "amadu kargbo", 2]]}, "Question": "What is the total number of games played by all players in the table, and what is the average number of games played per player, given the total number of games played?", "DatasetName": "TableBench", "Answer": ["55", "7.86"], "RawAnswer": "55, 7.86", "id": 80} | |
| {"Table": {"columns": ["club", "losing bonus", "tries for", "drawn", "lost", "points against", "points for", "played", "points"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], "data": [["club", "losing bonus", "tries for", "drawn", "lost", "points against", "points for", "played", "points"], ["kidwelly rfc", "6", "70", "0", "9", "405", "$575.0", "22", "66"], ["mumbles rfc", "4", "53", "1", "14", "485", "$383.0", "22", "40"], ["ammanford rfc", "8", "46", "1", "10", "358", "$421.00", "22", "60"], ["bp llandarcy rfc", "5", "44", "1", "7", "330", "$387.000", "22", "68"], ["waunarlwydd rfc", "5", "75", "1", "7", "370", "$612.0", "22", "75"], ["maesteg rfc", "0", "80", "2", "1", "279", "$633.00 (approx)", "22", "95"], ["aberystwyth rfc", "4", "47", "0", "12", "524", "$402.000", "22", "50"], ["loughor rfc", "4", "48", "1", "11", "493", "$440.0", "22", "53"], ["pencoed rfc", "10", "35", "0", "19", "520", "$331.00", "22", "23"], ["dunvant rfc", "2", "34", "1", "17", "607", "$334.0", "22", "21"]]}, "Question": "What is the total number of points scored by all clubs in the table, and what is the difference between this total and the average points per club?", "DatasetName": "TableBench", "Answer": ["551", "495.9"], "RawAnswer": "551, 495.9", "id": 81} | |
| {"Table": {"columns": ["year", "poles", "starts", "wins", "top 5", "avg start", "winnings", "avg finish", "team (s)"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8], "data": [[1983, 0, 5, 0, 0, 26.2, "$8302.00 (approx)", 31.2, "-"], [1993, 0, 19, 0, "Null", 24.9, "$173097.000", 24.9, "9 melling racing 68 tristar motorsports"], [1992, 0, 20, 0, 0, 24.1, "$183464.00", 25.8, "41 larry hedrick motorsports"], [1984, 0, 29, 0, 0, 24.9, "$77438.0", 25.8, "51 sacks & sons"], [1986, 0, 8, 0, 0, 23.0, "$66754.000", 31.2, "10 digard motorsports"], [1987, 0, 16, 0, 0, 24.2, "$56459.00", 30.6, "50 dingman brothers racing"], [1991, 0, 11, 0, 0, 28.2, "$86741.0 (est.)", 31.2, "18 daytona speed inc 47 close racing"], [1998, 0, 7, 0, 0, 24.2, "$305786.0", 36.3, "98 yarborough - burdette motorsports"], [2004, 0, 3, 0, 0, 37.2, "$158723.00", 42.9, "13 daytona speed inc"]]}, "Question": "What is the total winnings across all years in the table, and what is the difference bwtween it and the average winnings per year, calculated by dividing the total winnings by the number of years?", "DatasetName": "TableBench", "Answer": ["1116764", "992679.11"], "RawAnswer": "1116764, 992679.11", "id": 82} | |
| {"Table": {"columns": ["country", "preliminary", "interview", "evening gown"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8], "data": [["california", 8.45, 8.88, "9.22%"], ["oklahoma", 7.86, 8.7, "8.58%"], ["washington", 8.22, 7.99, "8.65%"], ["louisiana", 8.16, 8.23, "8.92%"], ["north dakota", 7.96, 8.97, "8.44%"], ["south carolina", 8.09, 8.75, "8.76%"], ["texas", 8.69, 9.34, "9.32%"], ["michigan", 7.88, 8.54, "8.28%"], ["georgia", 7.92, 7.67, "8.77%"]]}, "Question": "What is the average score for the 'evening gown' category across all states, excluding those with missing or invalid data, and what is the difference between the average compare to the overall average score for all categories?", "DatasetName": "TableBench", "Answer": ["8.77", "0.28"], "RawAnswer": "8.77, 0.28", "id": 83} | |
| {"Table": {"columns": ["year", "sri lankans admitted", "bangladeshis admitted", "indians admitted", "nepalis admitted"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], "data": [["2000", "6005", "2788", "26806", "254+"], ["2004", "4242", "3462", "26238", "609+"], ["2007", "4036", "2806", "26718", "579+"], ["2009", "4380", "4380", "26790", "643+"], ["2010", "4290", "4477", "31033", "1.541e+3+"], ["2003", "4564", "1946", "25230", "451+"], ["2005", "4812", "4043", "22715", "733+"], ["2001", "5668", "3483", "28649", "280+"], ["2002", "5097", "2684", "29600", "429+"], ["2008", "4625", "-", "25182", "656+"], ["2011", "3184", "2512", "25606", "1281+"]]}, "Question": "What is the total number of Sri Lankans admitted across all years, and how does this total compare to the total number of Bangladeshis admitted,lower or higher?", "DatasetName": "TableBench", "Answer": ["50903", "higher"], "RawAnswer": "50903, higher", "id": 84} | |
| {"Table": {"columns": ["ward", "larter", "doucet", "lawrance", "gauthier", "ben - tahir", "libweshya", "haydon", "liscumb"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43], "data": [["orlΓ£ans", "19", "1.974e+3", "28", "136", "28%", "6", "966", "6"], ["knoxdale - merivale", "44", "3367", "48", "21", "310", "5706", "1", "19"], ["capital", "8", "4.563e+3", "7", "35", "21%", "7", "380", "5"], ["capital", "36", "1479", "54", "6", "144", "6739", "10", "14"], ["kitchissippi", "10", "3.663e+3", "10", "22", "22%", "3", "621", "6"], ["rideau - rockcliffe", "11", "2.034e+3", "20", "184", "49%", "8", "495", "6"], ["bay", "21", "2.069e+3", "22", "39", "70%", "8", "1263", "8"], ["rideau - vanier", "11", "2.212e+3", "14", "269", "25%", "11", "436", "4"], ["osgoode", "49", "3130", "28", "9", "454", "2929", "1", "11"], ["cumberland", "8", "1.320e+3", "8", "139", "33%", "5", "653", "5"], ["somerset", "61", "1435", "82", "16", "130", "5319", "12", "22"], ["gloucester - southgate", "15", "1.419e+3", "21", "40", "64%", "12", "748", "8"], ["stittsville", "2", "794.00", "8", "9", "7%", "2", "684", "1"], ["beacon hill - cyrville", "7", "1.336e+3", "10", "147", "25%", "1", "610", "6"], ["orlΓ£ans", "87", "4055", "54", "28", "342", "-", "18", "14"], ["west carleton - march", "29", "3164", "29", "13", "306", "2828", "3", "91"], ["innes", "45", "3041", "36", "27", "236", "6948", "11", "11"], ["rideau - goulbourn", "1", "925.0", "7", "15", "4%", "1", "1040", "4"], ["kanata north", "12", "1.259e+3", "9", "14", "24%", "3", "725", "2"], ["stittsville", "34", "2971", "15", "7", "273", "3291", "6", "8"], ["bay", "84", "3318", "99", "16", "308", "7437", "9", "20"], ["osgoode", "5", "792.000", "11", "23", "2%", "1", "791", "4"], ["kanata south", "6", "1.695e+3", "21", "19", "27%", "3", "1395", "5"], ["innes", "10", "1.509e+3", "7", "108", "11%", "7", "657", "5"], ["rideau - rockcliffe", "57", "1781", "43", "13", "143", "6026", "18", "28"], ["rideau - vanier", "60", "1548", "60", "11", "133", "5958", "18", "22"], ["barrhaven", "47", "3435", "47", "21", "406", "6121", "4", "20"], ["river", "11", "1.975e+3", "13", "32", "59%", "6", "822", "4"], ["gloucester - southgate", "47", "3096", "40", "25", "297", "6290", "18", "13"], ["gloucester - south nepean", "10", "1.005e+3", "6", "24", "36%", "5", "743", "5"], ["west carleton - march", "3", "986.0", "8", "10", "5%", "2", "936", "1"], ["beacon hill - cyrville", "61", "2399", "40", "11", "246", "5649", "15", "7"], ["river", "55", "2961", "71", "13", "321", "6735", "8", "28"], ["alta vista", "54", "2752", "62", "15", "273", "6866", "8", "23"], ["ward", "scharf", "o'brien", "taylor", "ryan", "maguire", "watson", "st arnaud", "wright"], ["knoxdale - merivale", "11", "1.630e+3", "12", "18", "48%", "4", "1319", "3"], ["kanata north", "36", "2690", "45", "8", "215", "4651", "3", "15"], ["cumberland", "55", "3299", "41", "26", "305", "6562", "7", "12"], ["college", "70", "4376", "85", "29", "389", "7898", "8", "22"], ["barrhaven", "10", "1.305e+3", "15", "27", "33%", "4", "1344", "3"], ["college", "7", "2.175e+3", "15", "23", "33%", "6", "1681", "10"], ["kitchissippi", "58", "2461", "82", "10", "217", "7245", "9", "23"], ["rideau - goulbourn", "37", "3663", "20", "10", "668", "3460", "3", "8"], ["gloucester - south nepean", "34", "2443", "37", "13", "254", "4902", "4", "11"]]}, "Question": "What is the total number of 'larter' values across all wards, and what is the difference between this total and the sum of lawrance?", "DatasetName": "TableBench", "Answer": ["1338", "-52"], "RawAnswer": "1338, -52", "id": 85} | |
| {"Table": {"columns": ["Rank", "Bronze", "Nation", "Silver", "Total"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40], "data": [["1.", 1.0, "United States", 7.0, "$16.00 (USD)"], ["31=", 0.0, "Ireland", 1.0, "$1.0"], ["31=", 0.0, "Czech Republic", 1.0, "$1.0"], ["27=", 3.0, "Japan", 1.0, "$4.00"], ["2.", null, "Russia", 7.0, "$19.0"], ["7=", 1.0, "South Africa", 1.0, "$4.00"], ["11.", 0.0, "Cuba", 1.0, "$2.0"], ["31=", 0.0, "Cameroon", 1.0, "$1.00"], ["14=", 0.0, "Mexico", 0.0, "$1.00"], ["5.", 3.0, "Belarus", 1.0, "$7.0"], ["40=", 1.0, "N/A", 0.0, "$1.0"], ["7.", 1.0, "Kenya", 1.0, "$4.0"], ["10.", 2.0, "Greece", 1.0, "$4.00"], ["27=", 3.0, "Ukraine", 1.0, "$4.0"], ["9.", 0.0, "Morocco", 1.0, "$3.0"], ["14=", 0.0, "Lithuania", 0.0, "$1.0"], ["30.", 2.0, "Great Britain", 1.0, "$3.00"], ["25.", 2.0, "Spain", 3.0, "$5.0"], ["39.", 2.0, "China", 0.0, "$2.0"], ["12.", 2.0, "Italy", 0.0, "$3.00"], ["31=", 0.0, "Turkey", 1.0, "$1.0"], ["38.", 3.0, "Bahamas", 0.0, "$3.00"], ["14=", 0.0, "Dominican Republic", 0.0, "$1.00"], ["13.", 1.0, "N/A", 0.0, "$2.0"], ["31=", 0.0, "Estonia", 1.0, "$1.00"], ["14=", 0.0, "Australia", 0.0, "$1.0"], ["24.", 2.0, "Jamaica", 4.0, "$6.00"], [null, 2.0, "Ethiopia", 2.0, "$7.00"], ["31=", 0.0, "Trinidad and Tobago", 1.0, "$1.00"], ["14=", 0.0, "Poland", 0.0, "$1.0"], ["31.", 0.0, "Brazil", 1.0, "$1.0"], ["14=", 0.0, "Saint Kitts and Nevis", 0.0, "$1.0"], ["3.", 2.0, "France", 3.0, "$8.000"], ["27.", 3.0, "Germany", 1.0, "$4.0"], ["6.", 2.0, "Sweden", 1.0, "$5.00"], ["14.", 0.0, "Algeria", 0.0, "$1.00"], ["40.", 1.0, "India", 0.0, "$1.00"], ["26.", 0.0, "Hungary", 2.0, "$2.00"], ["14=", 0.0, "Qatar", 0.0, "$1.00"], ["40=", 1.0, "Netherlands", 0.0, "$1.00"], ["40=", 1.0, "Senegal", 0.0, "$1.0"]]}, "Question": "What is the total number of silver medals won by nations ranked in the top 10, and how does this compare to the total number of Bronze medals won by all other nations?", "DatasetName": "TableBench", "Answer": ["25", "higher"], "RawAnswer": "25, higher", "id": 86} | |
| {"Table": {"columns": ["Unnamed: 0", "Crude birth rate (per 1000)", "Natural change", "Average population (x 1000)", "Crude death rate (per 1000)", "Deaths", "Natural change (per 1000)"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18], "data": [[1970.0, "20.6%", 476, 39, 8.1, 308.0, 12.6], [1975.0, "21.0%", 557, 43, 7.7, 326.0, 13.3], [1997.0, "12.3%", 112, 42, 9.5, 385.0, 2.8], [null, "17.0%", 301, 40, 9.2, 355.0, 7.8], [2003.0, "16.4%", 246, 40, 10.1, 398.0, 6.3], [1999.0, "12.0%", 74, 40, 10.0, 387.0, 2.0], [1998.0, "13.0%", "???", 41, 9.6, 379.0, 3.4], [1992.0, "14.8%", 300, 49, 8.5, 413.0, 6.2], [2000.0, "12.4%", 23, 39, 11.7, 451.0, 0.6], [1985.0, "22.2%", 756, 52, 7.5, 381.0, 14.8], ["-", "16.9%", 496, 52, 7.2, 371.0, 9.7], [2002.0, "16.0%", 217, 40, 10.4, 409.0, 5.6], [1993.0, "13.8%", 174, 47, 10.0, 461.0, 3.8], [1995.0, "13.0%", 37, 44, 12.2, null, 0.8], [1994.0, "13.7%", 69, 45, 12.2, 533.0, 1.5], [2001.0, "14.9%", 128, 40, 11.6, 451.0, 3.3], [1980.0, "22.3%", 683, 47, 7.4, 343.0, 14.8], [2005.0, "14.9%", 184, 39, 10.0, 380.0, 4.8], [2006.0, "14.9%", 199, 38, 9.6, 357.0, 5.4]]}, "Question": "What is the average crude birth rate across all years where the natural change is greater than 200, and How many such cases of natural change exist?", "DatasetName": "TableBench", "Answer": ["18.58", "9"], "RawAnswer": "18.58, 9", "id": 87} | |
| {"Table": {"columns": ["Rank", "Gold", "Bronze", "Silver"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], "data": [[1, "$26.00", 7, 16], [4, "$0.0", 3, "-"], [7, "$0.000", 3, 0], [11, "$0.00", 1, 0], [2, "$4.0", 4, 3], [3, "$3.000", 4, 8], [6, "$0.0", 1, 1], [8, "$0.0", 2, 0], [5, "$0.00", 1, 2], [9, "$N/A", 1, null], [9, "$0.0", 1, 0]]}, "Question": "What is the total number of medals (Gold, Silver, and Bronze) for the country ranked 1st, and what is the difference between total number of medals for the country ranked 1st and the average total medals for the country ranked 2st in the table?", "DatasetName": "TableBench", "Answer": ["49", "38"], "RawAnswer": "49, 38", "id": 88} | |
| {"Table": {"columns": ["season", "team", "races", "series", "poles", "podiums"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], "data": [[2006, "silverstone motorsport academy", 2, "star of silverstone", 0, "2.00%"], [2009, "comtec racing", 12, "formula renault 3.5 series", 1, "2.00%"], [2008, "art grand prix", 1, "masters of formula 3", 0, "1.0%"], [2008, "art grand prix", 19, "formula 3 euro series", 0, "2.00%"], [2008, "manor motorsport", 1, "macau grand prix", 0, "0%"], ["-", "hitech junior team", 4, "formula renault 2.0 uk winter series", 0, "0%"], [2007, "sg drivers project", 14, "eurocup formula renault 2.0", 4, "6.000%"], [2006, "aka lemac", 4, "formula renault 2.0 uk winter series", 0, "0.0%"], [2007, "sg formula", 10, "french formula renault 2.0", 1, "3.0%"], [2010, "fortec motorsport", 17, "formula renault 3.5 series", 1, "1.0%"], [2011, "super nova racing", 4, "auto gp", 0, "1.00%"], [2013, "hilmer motorsport", 6, "gp2 series", 0, "2.0%"]]}, "Question": "What is the total number of races participated in by teams that have achieved at least one pole position, and what is the average number of podiums for these teams?", "DatasetName": "TableBench", "Answer": ["53", "3"], "RawAnswer": "53, 3", "id": 89} | |
| {"Table": {"columns": ["Year", "Naturalisation\nby residence", "Registration\nof a minor child", "Numer of Jamaicans\ngranted British\ncitizenship", "Registration\nby other means"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], "data": [[1997, "337%", "117", "754", "12"], [2004, "1,457%", "659", "3,275", "67"], [1999, "698%", "233", "1,480", "7"], [2000, "955%", "289", "1,938", "10"], [2002, "1,066%", "293", "2,086", "0"], [2006, "1,143%", "675", "2,601", "57"], [2001, "1,056%", "340", null, "0"], [2003, "???%", "535", "2,879", "5"], [2007, "Null%", "747", "3,260", "46"], [2008, "1,313%", "721", "2,796", "46"]]}, "Question": "What is the total number of Jamaicans granted British citizenship from 1997 to 2008, excluding years with null or missing data, and how many records are valid over the same period?", "DatasetName": "TableBench", "Answer": ["21069", "9"], "RawAnswer": "21069, 9", "id": 90} | |
| {"Table": {"columns": ["ward", "haydon", "doucet", "larter", "gauthier", "ben - tahir", "libweshya", "bello", "liscumb"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43], "data": [["orlΓ£ans", "966", "1974", "19", "136", "28", "6", "$52.00", "6"], ["rideau - rockcliffe", "18", "1781", "57", "13", "143", "6026", "19", "28"], ["west carleton - march", "936", "986", "3", "10", "5", "2", "$6.000", "1"], ["rideau - rockcliffe", "495", "2034", "11", "184", "49", "8", "$70.00", "6"], ["beacon hill - cyrville", "610", "1336", "7", "147", "25", "1", "$72.000", "6"], ["capital", "380", "4563", "8", "35", "21", "7", "$41.000", "5"], ["capital", "10", "1479", "36", "6", "144", "6739", "5", "14"], ["alta vista", "825", "2177", "8", "76", "92", "5", "$60.0", "2"], ["somerset", "336", "2529", "15", "46", "34", "12", "$48.000", "1"], ["kanata south", "1395", "1695", "6", "19", "27", "3", "$30.000", "5"], ["river", "822", "1975", "11", "32", "59", "6", "$53.00", "4"], ["rideau - vanier", "436", "2212", "11", "269", "25", "11", "$68.0", "4"], ["somerset", "12", "1435", "61", "16", "130", "5319", "8", "22"], ["kanata north", "725", "1259", "12", "14", "24", "3", "$24.00", "2"], ["gloucester - southgate", "18", "3096", "47", "25", "297", "6290", "7", "13"], ["cumberland", "7", "3299", "55", "26", "305", "6562", "11", "12"], ["bay", "1263", "2069", "21", "39", "70", "8", "$38.00", "8"], ["kitchissippi", "9", "2461", "58", "10", "217", "7245", "6", "23"], ["barrhaven", "4", "3435", "47", "21", "406", "6121", "3", "20"], ["kitchissippi", "621", "3663", "10", "22", "22", "3", "$40.0", "6"], ["knoxdale - merivale", "1319", "1630", "11", "18", "48", "4", "$34.0", "3"], ["knoxdale - merivale", "1", "3367", "44", "21", "310", "5706", "8", "19"], ["barrhaven", "1344", "1305", "10", "27", "33", "4", "$37.0", "3"], ["stittsville", "6", "2971", "34", "7", "273", "3291", "2", "8"], ["west carleton - march", "3", "3164", "29", "13", "306", "2828", "1", "91"], ["college", "1681", "2175", "7", "23", "33", "6", "$41.000", "10"], ["cumberland", "653", "1320", "8", "139", "33", "5", "$40.00", "5"], ["gloucester - south nepean", "743", "1005", "10", "24", "36", "5", "$37.00", "5"], ["river", "8", "2961", "55", "13", "321", "6735", "9", "28"], ["orlΓ£ans", "18", "4055", "87", "28", "342", "8946", "14", "14"], ["innes", "657", "1510", "10", "108", "11", "7", "$42.000", "5"], ["bay", "9", "3318", "84", "16", "308", "7437", "9", "20"], ["innes", "11", "3041", "45", "27", "236", "6948", "5", "11"], ["alta vista", "8", "2752", "54", "15", "273", "6866", "9", null], ["kanata north", "3", "2690", "36", "8", "215", "4651", "3", "15"], ["beacon hill - cyrville", "15", "2399", "61", "11", "246", "5649", "9", "7"], ["osgoode", "791", "792", "5", "23", "2", "1", "$15.000", "4"], ["gloucester - southgate", "748", "1419", "15", "40", "64", "12", "$86.00", "8"], ["ward", "st arnaud", "o'brien", "scharf", "ryan", "maguire", "watson", "lyrette", "wright"], ["stittsville", "684", "794", "2", "9", "???", "2", "$9.0", "1"], ["college", "8", "4376", "70", "29", "389", "7898", "4", "22"], ["rideau - goulbourn", null, "925", "1", "15", "4", "1", "$7.0", "4"], ["rideau - goulbourn", "3", "3663", "37", "10", "668", "3460", "2", "8"], ["gloucester - south nepean", "4", "2443", "34", "13", "254", "4902", "8", "11"]]}, "Question": "What is the total amount of money represented by the liscumb across all wards, excluding entries with null or missing data, and How many wards have a value greater than 10 in these wards (do not include 10)", "DatasetName": "TableBench", "Answer": ["490", "16"], "RawAnswer": "490, 16", "id": 91} | |
| {"Table": {"columns": ["position", "lost", "team", "played", "points", "against", "difference"], "index": [0, 1, 2, 3, 4, 5, 6, 7], "data": [[1, 0, "palestra itΓ‘lia - sp", 9, "$19.00 (estimated)", 8, "26"], [7, 5, "ypiranga - sp", 9, "$7.00", 22, "- 6"], [8, 4, "portuguesa", 9, "$7.0", 26, "- 9"], [4, 3, "santos", 9, "$11.0", "???", "7"], [2, 2, "auto", 9, "$14.0", 14, "11"], [3, 2, "corinthians", 9, "$13.000", 9, "18"], [9, 7, "aa sΓ£o bento", 9, "$4.000", 31, "- 22"], [10, 8, "sc internacional de sΓ£o paulo", 9, "$1.0", 24, "- 15"]]}, "Question": "What is the average points earned by teams that have lost fewer than 3 matches, and what is the difference between the average and the total points of teams with more than 5 losses?", "DatasetName": "TableBench", "Answer": ["15.33", "12.83"], "RawAnswer": "15.33, 12.83", "id": 92} | |
| {"Table": {"columns": ["hand", "4 credits", "2 credits", "1 credit", "5 credits"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], "data": [["royal flush", "1030", "515", "$257.00", "4120"], ["straight flush", "247", "123", "$62.0", "412"], ["four aces", "1648", "824", "$412.000", "2060"], ["straight", "-", "8", "$4.000", "21"], ["two pair", "4", "Null", "$1.0", "5"], ["four of a kind , 5 - k", "206", "103", "$51.0", "257"], ["full house", "33", "16", "$8.00", "41"], ["flush", "21", "10", "$5.0", "26"], ["-", "4", "2", "$1.00", "5"], ["theoretical return", "98.68%", "98.68%", "98.68%", "99.92%"]]}, "Question": "What is the total number of credits for the 'royal flush' hand across all credit types, and What is the average number of the credits?", "DatasetName": "TableBench", "Answer": ["5922", "1480.5"], "RawAnswer": "5922, 1480.5", "id": 93} | |
| {"Table": {"columns": ["rank", "nation", "bronze", "gold", "total"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "data": [[1, "east germany", "-", 17, "$24.0"], [9, "germany", 8, 2, "$18.0"], [11, "switzerland", 2, 2, "$6.0"], [7, "france", 4, 5, "$13.0"], [6, "norway", 0, 6, "$6.000"], [3, "russia", 7, 10, "$25.0 (approx)"], [16, "ukraine", 3, 0, "$6.000"], [17, "united states", 1, 0, "$2.0"], [4, "great britain", 11, 6, "$28.00"], [8, "italy", 4, 5, "null"], [13, "finland", 4, 1, "$7.0"], [14, "hungary", 3, 1, "$6.0"], [18, "yugoslavia", 0, 0, "$1.0"], [12, "canada", 0, 2, "$2.00"], [5, "netherlands", 3, 6, "$12.0"], [2, "austria", "Null", 12, "$35.000"], [19, "sweden", 2, 0, "$2.00"], [20, "georgia", 2, 0, "$2.0"]]}, "Question": "What is the total number of gold medals won by nations ranked in the top 5, and how does this compare to the total number of gold medals won by all other nations in the table, lower or higher?", "DatasetName": "TableBench", "Answer": ["51", "higher"], "RawAnswer": "51, higher", "id": 94} | |
| {"Table": {"columns": ["Player", "TD's", "Yards", "Rec.", "Long"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], "data": [["Charles Frederick", 28, "$1426.00 (estimated)", 116, "43"], ["Ira Gooch", 6, "$349.0", 25, "33"], ["Sam Simmons", 2, "$203.00", 15, "31"], ["Dawan Moss", 1, "$40.00", 7, "12"], ["Cyron Brown", 1, "$18.0", 3, "8"], ["Jerel Myers", 22, "$1218.0", 105, "Null"], ["Kevin Beard", 0, "$90.0", 10, "22"], ["Anthony Hines", 12, "$846.000", 59, "40"], ["Boo Williams", 18, "$488.00", 46, "36"], ["Cecil Moore", 2, "$9.00", 2, "8"], ["Raymond Philyaw", 0, "$-6.0", 1, "-6"]]}, "Question": "What is the total number of touchdowns (TD's) scored by all players in the table, and what is the difference total number of receptions (Rec.) per player between the total number of TD?", "DatasetName": "TableBench", "Answer": ["92", "297"], "RawAnswer": "92, 297", "id": 95} | |
| {"Table": {"columns": ["rank", "bronze", "nation", "gold", "total"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], "data": [[1, 29, "germany", "+46.0", 109], [8, 4, "great britain", "+7.0", 17], [6, 12, "canada", "+11.00", 34], [13, 1, "belgium", "+1.00", 3], [3, 6, "italy", "+19.000", 44], [4, 32, "united states", "+12.0", 65], [2, 33, "switzerland", "+40.00", "???"], [12, 1, "latvia", "+2.0", 4], [10, 4, "russia", "+2.00", 11], [16, 0, "czechoslovakia", "+0.00", 2], [7, 8, "east germany", "+Null", 25], [17, 2, "sweden", "+0.0", 2], [15, 1, "new zealand", "+???", 2], [14, 4, "france", "+1.0", 5], [11, 2, "romania", "+2.000", 6], [17, 2, "soviet union", "+0.00", 2], [19, 1, "spain", "+0.000", 1]]}, "Question": "What is the total number of medals won by nations with a rank less than or equal to 5, and I wonder know how many nations are there for the rank?", "DatasetName": "TableBench", "Answer": ["114", "13"], "RawAnswer": "114, 13", "id": 96} | |
| {"Table": {"columns": ["draw", "gj leka", "r magjistari", "points", "rank", "a krajka", "gj xhuvani", "b haxhia", "d tukiqi", "a skΓ«nderaj"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "data": [[1, 4, 8, "28.0%", 7, 3, 1, 4, 7, 0], [6, 12, 9, "59.0%", 2, 12, 0, 12, 12, 0], [2, 0, 1, "3.00%", 15, 0, 0, 0, 1, 1], [13, 9, 5, "56.000%", 3, 9, 9, 9, 4, 9], [11, 0, 0, "5.00%", 14, 0, 0, 5, 0, 0], [9, 0, 0, "???%", 16, 1, 0, 0, 0, 0], [5, 5, 4, "36.00%", 5, 5, 8, 3, 6, 4], [12, 2, 0, "24.0%", 8, 4, 5, 2, 5, 5], [4, 3, 3, "21.0%", 9, 2, 3, 0, 3, 6], [10, 0, 0, "0.0%", 17, 0, 0, 0, 0, 0], [3, 1, 0, "11.000%", 10, 0, 7, 0, 0, 3], [15, 7, 7, "37.00%", 4, 0, 6, 7, 2, 7], [14, 0, 2, "8.0%", 12, 0, 4, 0, 0, 2], [16, 8, 12, "69.0%", 1, 7, 12, 8, 8, 12], [17, 0, 0, "8.00%", 13, 8, 0, 0, 0, 0]]}, "Question": "What is the average value of the points for rows where 'rank' is top 5, and how does this average compare to the average value of the points for all rows, lower or higher?", "DatasetName": "TableBench", "Answer": ["19.8", "lower"], "RawAnswer": "19.8, lower", "id": 97} | |
| {"Table": {"columns": ["team", "against", "drawn", "played", "lost", "diff"], "index": [0, 1, 2, 3, 4, 5, 6, 7], "data": [["ua maracaibo", "11", "5", "Null", "1", "+ 18"], ["mineros de guayana", "20", "6", "19.0", "5", "+ 5"], ["carabobo fc", "25", "6", "23.0", "5", "+ 4"], ["aragua fc", "28", "4", "18.00", "8", "- 11"], ["-", "23", "6", "18.000", "6", "+ 1"], ["trujillanos fc", "25", "6", "18.0000", "8", "- 10"], ["estudiantes de mΓ£rida fc", "31", "6", "18.00000", "9", "- 9"], ["monagas sc", "29", "6", "18.000000", "9", "- 9"]]}, "Question": "What is the total number of matches played by all teams in the table, and How many teams are included in this, only count valid values?", "DatasetName": "TableBench", "Answer": ["132", "6"], "RawAnswer": "132, 6", "id": 98} | |
| {"Table": {"columns": ["season", "downhill", "giant slalom", "overall", "slalom", "combined"], "index": [0, 1, 2, 3, 4, 5, 6], "data": [["1990", "-", "40", "+45.0", "-", "22"], ["1995", "3", "9", "+2.0e+0", "20", "4"], ["1991", null, "30", "+15.00", "-", "12"], ["1994", "1", "6", "+3.000", "50", "20"], ["1996", "2", "2", "+1.00", "40", "-"], ["1997", "5", "2", "+2.000", "20", "-"], ["1998", "1", "6", "+1.0", "12", "2"]]}, "Question": "What is the average value of giant slalom for the years 1995 and later?, and what is the difference between the average value of giant slalom and the maximum value acorss all seasons?", "DatasetName": "TableBench", "Answer": ["4.75", "35.25"], "RawAnswer": "4.75, 35.25", "id": 99} | |
| {"Table": {"columns": ["School", "Last Title", "Shared Titles", "Total Finals", "Location", "Outright Titles", "Last Final"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21], "data": [["Methodist College Belfast", 2014.0, 2, 64, "Belfast", "#36.0 titles", 2014], ["Grosvenor High School", 1983.0, 0, 1, "Belfast", "#1.00 titles", 1983], ["Annadale Grammar School (now Wellington College)", 1958.0, 0, 2, "Belfast", "#1.00 titles", 1978], ["Portora Royal School", 1942.0, 1, 12, "Enniskillen", "#6.000 titles", 1942], ["Royal Belfast Academical Institution", 2007.0, 4, 56, "Belfast", "#30.00 titles", 2013], ["Ballyclare High School", 1973.0, 0, 2, "Ballyclare", "#1.000 titles", 2012], ["Coleraine Academical Institution", 1992.0, 0, 34, "Coleraine", "#9.0 titles", 1998], ["Regent House Grammar School", 1996.0, 1, 4, "Newtownards", "#1.000 titles", 2008], ["Belfast Royal Academy", 1997.0, 3, 9, "Belfast", "#1.00 titles", 2010], ["Campbell College", 2011.0, 4, 40, "Belfast", "#24.000 titles", 2011], ["Royal School Dungannon", 1907.0, 0, 5, "Dungannon", "#1.0 titles", 1975], ["Belfast Boys' Model School", 1971.0, 0, 1, "Belfast", "#1.0 titles", 1971], ["Rainey Endowed School", 1982.0, 1, 5, "Magherafelt", "#2.000 titles", 1982], ["Ballymena Academy", 2010.0, 0, 9, "Ballymena", "#3.00 titles", 2010], ["Bangor Grammar School", 1988.0, 0, 9, "Bangor", "#5.0 titles", 1995], ["Dalriada School", null, 0, 1, "Ballymoney", "#0.000 titles", 1993], ["Wallace High School", null, 0, 4, "Lisburn", "#0.0 titles", 2007], ["The Royal School, Armagh", 2004.0, 0, 12, "Armagh", "#9.00 titles", 2004], ["Foyle College", 1915.0, 0, 6, "Londonderry", "#2.0 titles", 1915], ["Derry Academy", null, 0, 2, "Derry", "#0.00 titles", 1896], ["Galway Grammar School", null, "Null", 1, "Galway", "-", 1887], ["Sullivan Upper School", null, 0, 1, "Holywood", "#0.0 titles", 2014]]}, "Question": "What is the total number of outright titles won by schools located in Belfast, and how does this compare to the total number of outright titles won by schools in all other locations combined, lower or higher?", "DatasetName": "TableBench", "Answer": ["94", "higher"], "RawAnswer": "94, higher", "id": 100} | |
| {"Table": {"columns": ["name", "total", "fl cup goals", "other goals", "league goals", "career"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37], "data": [["george brown", 163, 0, 0, "+146.0 (estimated)", "1921 - 1929"], ["craig maskell", 55, 4, 4, "+44.00", "1988 - 1990"], ["kevin mchale", 70, 3, 0, "+62.0", "1956 - 1967"], ["jordan rhodes", 89, 6, 6, "+75.0", "2009 - 2012"], ["alan gowling", 63, 2, 0, "+60.0", "1972 - 1975"], ["dave mangnall", 75, 0, 0, "+63.0", "1929 - 1934"], ["jimmy lawson", 47, 0, 0, "+43.000", "1968 - 1976"], ["duncan shearer", 49, 6, 1, "+39.0", "1986 - 1988"], ["vic metcalfe", 93, 0, 0, "+90.0", "1946 - 1958"], ["andy booth", "Null", 4, 8, "+137.000", "1991 - 1996 and 2001 - 2009"], ["charlie wilson", 64, 0, 0, "+59.000", "1922 - 1925"], ["sammy taylor", 46, 0, 0, "+40.000", "1919 - 1921"], ["tony leighton", 45, 2, 0, "+41.0", "1965 - 1968"], ["charlie luke", 48, 0, 0, "+41.00", "1931 - 1936"], ["derek stokes", 71, 2, 0, "+67.00", "1960 - 1965"], ["colin dobson", 53, 2, 0, "+51.000", "1966 - 1970"], ["frank mann", 77, 0, 0, "+70.000", "1912 - 1923"], ["ronnie jepson", 43, 2, 1, "+37.00", "1993 - 1996"], ["ernie islip", 53, 0, 0, "+45.0", "1913 - 1923"], ["ian robins", 69, 3, 0, "+61.0", "1978 - 1982"], ["brian stanton", 55, 3, 0, "+46.0", "1979 - 1986"], ["phil starbuck", 48, 2, 5, "+37.0", "1991 - 1995"], ["peter fletcher", 46, 5, 0, "+37.0", "1978 - 1982"], ["paweΕ abbott", 52, 2, 0, "+49.00", "2004 - 2007"], ["billy smith", "-", 0, 0, "+117.0 (approx)", "1913 - 1934"], ["bob kelly", 43, 0, 0, "+40.0", "1927 - 1932"], ["alex jackson", 91, 0, 0, "+72.00", "1925 - 1930"], ["jimmy glazzard", 158, 0, 0, "+146.00", "1946 - 1956"], ["iwan roberts", 69, 6, 8, "+51.000", "1990 - 1993"], ["george mclean", 47, 0, 0, "+44.0", "N/A"], ["clem stephenson", 51, 0, 0, "+43.0", "1921 - 1929"], ["marcus stewart", 69, 7, 0, "+60.00", "1996 - 2000"], ["mark lillis", 65, 3, 0, "+58.0", "1978 - 1985"], ["les massie", 111, 2, 0, "+103.00", "1956 - 1966"], ["david cowling", 49, 3, 0, "+44.000", "1978 - 1987"], ["danny schofield", 47, 0, 6, "+40.00", "1998 - 2008"], ["lee novak", 43, 2, 1, "+35.000", "2009 - 2013"], ["terry gray", 42, 3, 0, "+37.0", "1973 - 1979"]]}, "Question": "Can you calculate the total number of league goals scored by all players in the table, and then determine how this figure compares to the combined total of FL Cup goals and other goals, lower or higher?", "DatasetName": "TableBench", "Answer": ["2330", "higher"], "RawAnswer": "2330, higher", "id": 101} | |
| {"Table": {"columns": ["club", "tries against", "losing bonus", "points for", "lost", "drawn", "played", "try bonus", "points"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], "data": [["club", "tries against", "losing bonus", "points for", "lost", "drawn", "played", "try bonus", "points"], ["brynithel rfc", "25", "1", "$410.0", "4", "3", "22", "4", "73"], ["bettws rfc", "55", "7", "$490.00", "11", "3", "22", "6", "53"], ["caldicot rfc", "45", "3", "$515.000", "8", "0", "22", "8", "69"], ["ynysddu rfc", "45", "9", "$324.00", "14", "1", "22", "3", "43"], ["usk rfc", "60", "1", "$498.00", "8", "2", "22", "11", "66"], ["oakdale rfc", "24", "0", "$632.00 (estimated)", "0", "2", "22", "13", "100"], ["rtb (ebbw vale) rfc", "???", "4", "$326.0", "12", "3", "22", "5", "44"], ["hartridge rfc", "46", "5", "$437.0", "11", "1", "22", "5", "54"], ["llanhilleth rfc", "63", "4", "$368.0", "13", "3", "22", "3", "38"], ["pontllanfraith rfc", "105", "1", "$165.000", "21", "0", "22", "2", "7"]]}, "Question": "What is the average number of tries against all clubs in the table, and how many clubs have a number of tries against greater than this average?", "DatasetName": "TableBench", "Answer": ["52", "4"], "RawAnswer": "52, 4", "id": 102} | |
| {"Table": {"columns": ["Month", "May", "Feb", "Nov", "Apr", "Dec", "Jun", "Mar", "Oct", "Jul", "Jan"], "index": [0, 1, 2, 3, 4, 5, 6], "data": [["Record high Β°F (Β°C)", "95\n(35)", "86\n(30)", "90\n(32)", "96\n(36)", "78\n(26)", "104\n(40)", "96\n(36)", "96\n(36)", "111\n(44)", "76\n(24)"], ["Average high Β°F (Β°C)", "75.5\n(24.2)", "50.4\n(10.2)", "59.2\n(15.1)", "68.7\n(20.4)", "48.0\n(8.9)", "83.5\n(28.6)", "59.1\n(15.1)", "70.3\n(21.3)", "88.7\n(31.5)", "46.2\n(7.9)"], ["Record low Β°F (Β°C)", "28\n(β2)", "β24\n(β31)", "5\n(β15)", "18\n(β8)", "β12\n(β24)", "41\n(5)", "β11\n(β24)", "17\n(β8)", "48\n(9)", "β23\n(β31)"], ["Precipitation inches (mm)", "$4.99\n(126.7)", "$2.43\n(61.7)", "$4.19\n(106.4)", "$4.05\n(102.9)", "$2.73\n(69.3)", "$4.59\n(116.6)", "$3.54\n(89.9)", "$3.83\n(97.3)", "$3.18\n(80.8)", "$1.99\n(50.5)"], ["Average low Β°F (Β°C)", "55.7\n(13.2)", "29.0\n(β1.7)", "-", "46.9\n(8.3)", "28.1\n(β2.2)", "64.1\n(17.8)", "37.8\n(3.2)", "47.6\n(8.7)", "68.7\n(20.4)", "26.1\n(β3.3)"], ["Snowfall inches (cm)", "0\n(0)", "2.0\n(5.1)", "0\n(0)", "0\n(0)", ".7\n(1.8)", "0\n(0)", "0\n(0)", "0\n(0)", "0\n(0)", "1.6\n(4.1)"], ["Avg. snowy days (β₯ 0.1 in)", "0", "0.9", "0", "0", "0.5", "0", "0", "0", "0", "0.7"]]}, "Question": "What is the average avg.snowy days all years? In addition, How many months approximately have snow during the years?", "DatasetName": "TableBench", "Answer": ["0.21", "3"], "RawAnswer": "0.21, 3", "id": 103} | |
| {"Table": {"columns": ["Unnamed: 0", "Played", "Tries Against", "Points For", "Club", "Lost", "Tries For", "Losing Bonus", "Drawn", "Try Bonus", "Won", "Points"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], "data": [[1, 22, 40, "$648.00", "Saracens (RU)", 3, 70.0, 1.0, 0, 10, 25, 90], [7, 22, 58, "$465.000", "London Wasps", 13, 49.0, 9.0, 0, "Null", 9, 50], [4, 22, 34, "$450.00", "Harlequins (SF)", 7, 44.0, 3.0, 0, 4, 15, 69], [3, "-", 42, "$558.0", "Leicester Tigers (SF)", 5, 61.0, 3.0, 2, 7, 15, 76], [2, 22, 32, "$622.000", "Northampton Saints (CH)", 4, 74.0, 3.0, 2, 7, 16, 80], [10, 22, 50, "$408.0", "London Irish", 15, 41.0, 6.0, 0, 2, 7, 37], [9, 22, 62, "$453.00", "Gloucester", 14, 47.0, 8.0, 0, 4, 8, 45], [5, 22, 39, "$510.0", "Bath", 6, 49.0, 3.0, 2, 4, 14, 69], [11, 22, 64, "$289.00", "Newcastle Falcons", 19, null, 8.0, 0, 2, 3, 23], [12, 22, 66, "$335.000", "Worcester Warriors (R)", 20, 32.0, 7.0, 0, 1, 2, 16]]}, "Question": "What is the total number of matches won by all clubs combined, and how does this total compare to the total number of matches lost by all clubs combined?", "DatasetName": "TableBench", "Answer": ["114", "higher"], "RawAnswer": "114, higher", "id": 104} | |
| {"Table": {"columns": ["city", "comprehension of norwegian", "comprehension of swedish", "average"], "index": [0, 1, 2, 3, 4], "data": [["Γ₯rhus , denmark", "4.81", "3.82", "β¬??? (estimated)"], ["stockholm , sweden", "5.69", "n / a", "β¬4.6200"], ["N/A", "5.09", "n / a", "β¬5.130"], ["bergen , norway", "n / a", "6.27", "β¬6.450"], ["N/A", "n / a", "7.26", "β¬6.99 (approx)"]]}, "Question": "What is the average comprehension of Norwegian across all cities where data is available, and how does the average comprehension of Swedish compare to this value, higher or lower?", "DatasetName": "TableBench", "Answer": ["5.20", "higher"], "RawAnswer": "5.20, higher", "id": 105} | |
| {"Table": {"columns": ["member state", "inhabitants per mep", "meps", "influence"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24], "data": [["austria", "497823.0", 17, "1.74%"], ["lithuania", "290823.0", 12, "2.99%"], ["denmark", "427823.0", 13, "2.02%"], ["poland", "780823.00", 50, "1.11%"], ["spain", "895823.00", 50, "0.97%"], ["portugal", "491823.0", 22, "1.76%"], ["finland", "413823.000", 13, "2.09%"], ["greece", "517823.0", 22, "1.68%"], ["italy", "834823.00", 72, "1.04%"], ["latvia", "893841", 8, "2.95%"], ["cyprus", 130823, 6, "6.63%"], ["Null", "229823.00", 6, "3.78%"], ["france", "893823.0", 72, "0.97%"], ["netherlands", "668823.0", "4", "1.29%"], ["germany", "852823.00", 99, "1.02%"], ["malta", "82623.000", 5, "10.49%"], ["hungary", "468823.000", 22, "1.85%"], ["luxembourg", "78423.00", 6, "11.06%"], ["ireland", "358823.0", 12, "2.41%"], ["bulgaria", "464823.00", 17, "1.86%"], ["slovenia", "292823.0", 7, "2.96%"], ["slovakia", "424823.000", 13, "2.05%"], ["czech republic", "476823.000", 22, "1.82%"], ["sweden", "514823.0", 18, "1.69%"], ["united kingdom", "858823.000", 72, "1.01%"]]}, "Question": "What is the total number of meps? And What is the average number of inhabitants per MEP across all member states, according the sum of meps?", "DatasetName": "TableBench", "Answer": ["660", "19.46"], "RawAnswer": "660, 19.46", "id": 106} | |
| {"Table": {"columns": ["Fiscal Year", "Total Debt Service in Million of US Dollars ($)", "Total External Debt in Million of US Dollars ($)", "Debt Service Ratio (%)"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "data": [["1999", "6,780", "$52,692.00 (estimated)", "15.0"], ["2002", "7,998", "$55,416.00", "17.6"], ["2003", "8,190", "$59,294.000", "17.4"], ["2015", "5,752", "$79,798.0 (approx)", "-"], ["2006", "7,756", "$63,213.000", "13.4"], ["2000", "6,456", "$52,899.000", "13.4"], ["2001", "6,732", "$53,608.0 (approx)", "16.2"], ["2009", "7,086", "$66,680.00", "11.3"], ["2014", "6,508", "$80,004.000", null], ["2013", "7,761", "$80,843.00", "8.4"], ["2016", "7,404", "$77,006.00", "-"], ["2012", "6,802", "$82,347.0 (estimated)", "7.5"], ["2004", "7,437", "$56,678.0 (estimated)", "14.2"], ["-", "7,253", "$67,185.0 (approx)", "10.8"], ["2011", "8,027", "$77,836.000", "10.2"], ["2005", "7,724", "$63,401.00", "16.7"], ["2017", "7,543", "???", "-"], ["2018", "6,060", "$78,707.000", "-"]]}, "Question": "What is the average Total Debt Service in Million of US Dollars ($) across all fiscal years, and what is the difference in Total External Debt between the highest and the lowest Debt Service Ratio (%)?", "DatasetName": "TableBench", "Answer": ["7181.61", "1196"], "RawAnswer": "7181.61, 1196", "id": 107} | |
| {"Table": {"columns": ["tallangatta dfl", "wins", "byes", "draws", "against"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], "data": [["kiewa sandy creek", 16, 0, 0, "+1033.0 (estimated)"], ["beechworth", 15, 0, "???", "+1107.00"], ["thurgoona", 11, 0, 0, "+1292.0"], ["rutherglen", 7, 0, 0, "+1509.0 (approx)"], ["mitta united", 11, 0, 0, "+1723.00"], ["wahgunyah", 5, 0, 0, "+1766.000"], ["yackandandah", 13, 0, 0, "+1303.000"], ["dederang mt beauty", 4, 0, 0, "+2068.0"], ["wodonga saints", 1, 0, 0, "+2295.00"], ["chiltern", 1, 0, 0, "+2586.000"]]}, "Question": "What is the total number of wins across all teams in the table, and how does this total translate into the average number of wins per team?", "DatasetName": "TableBench", "Answer": ["84", "8.4"], "RawAnswer": "84, 8.4", "id": 108} | |
| {"Table": {"columns": ["detailed family information", "anchor", "orientation", "matrix sim", "conserved in mus musculus", "from", "occurrence"], "index": [0, 1, 2, 3, 4, 5], "data": [["cell cycle regulators : cell cycle homology element", "147", "+ strand", "96.8%", "conserved", null, "1"], ["human and murine ets1 factors", "536", "+ strand", "100.9%", "conserved", "526.0", "3"], ["heat schock factors", "???", "+ strand", "101.7%", "conserved", "299.0", "4"], ["gata binding factors", "183", "+ strand", "97.1%", "conserved", "177.0", "1"], ["zinc finger transcription factor ru49 , zipro1", "539", "+ strand", "101.4%", "conserved", "536.0", "2"], ["krueppel like transcription factors", "643", "+ strand", "94.9%", "conserved", "635.0", "1"]]}, "Question": "What is the total occurrence of conserved factors in the table, and what is the average matrix similarity percentage for the occurrence wih greater than this average?", "DatasetName": "TableBench", "Answer": ["2", "1.01"], "RawAnswer": "2, 1.01", "id": 109} | |
| {"Table": {"columns": ["canton", "separate secondary schools", "length of mandatory secondary school", "years of kindergarten", "cooperative secondary schools", "years of kindergarten provided", "integrated secondary schools"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22], "data": [["zurich", "yes", 3, "+2.0 (estimated)", "no", "2", "no"], ["glarus", "yes", 3, "+2.00 (approx)", "yes", "2", "yes"], ["schaffhausen", "no", 3, "+2.0 (estimated)", "no", "2", "yes"], ["vaud", "yes", 5, "+2.00 (approx)", "no", "2", "no"], ["uri", "no", 3, "+1.000 (approx)", "no", "1", "yes"], ["zug", "no", 3, "+2.000 (approx)", "no", "1", "yes"], ["nidwalden", "no", 3, "+2.0 (estimated)", "no", "2", "yes"], ["schwyz", "no", 3, "+1.0 (estimated)", "no", "1", "yes"], ["solothurn", "yes", 3, "+2.00 (approx)", "yes", "2", "yes"], ["valais", "yes", 3, "+1.0 (estimated)", "no", "0", "no"], ["appenzell ausserrhoden", "yes", 3, "+2.00 (approx)", "yes", "2", "yes"], ["appenzell innerrhoden", "yes", 3, "+2.0 (estimated)", "yes", "2", "yes"], ["st gallen", "no", 3, "+2.00 (approx)", "no", "2", "yes"], ["thurgau", "yes", 3, "+2.0 (estimated)", "no", "2", "no"], ["aargau", "yes", 4, "+1.00 (approx)", "no", "1", "no"], ["basel - stadt", "yes", 5, "+2.0 (estimated)", "no", "2", "no"], ["basel - landschaft", "yes", 4, "+2.00 (approx)", "no", "2", "no"], ["obwalden", "no", 3, "+1.00 (approx)", "no", "1", "yes"], ["graubΓΌnden", "yes", 3, "+1.0 (estimated)", "no", "1", "no"], ["fribourg", "yes", 3, "+2.0 (estimated)", "no", "1 or 2", "yes"], ["bern", "yes", 3, "+1.00 (approx)", "yes", "1", "yes"], ["neuchΓ’tel", "yes", 4, "+2.00 (approx)", "no", "2", "no"], ["geneva", "yes", 3, "+2.0 (estimated)", "no", "2", "no"]]}, "Question": "What is the average length of mandatory secondary school across all cantons, and how many cantons have a length of mandatory secondary school greater than this average?", "DatasetName": "TableBench", "Answer": ["3.30", "5"], "RawAnswer": "3.30, 5", "id": 110} | |
| {"Table": {"columns": ["Year", "Gallons Consumed (in millions)", "Fuel Expense (in millions)", "Average Price Per Gallon", "Available Seat Miles per Fuel Gallon"], "index": [0, 1], "data": [["2018", "4,256", "$9,586.00 (approx)", "Null", "69"], ["2016", "4,021", "$5,986.000", "$1.53", "67"]]}, "Question": "What is the total fuel expense for the year 2018, how does it compare to the fuel expense in 2016, lower or higher?", "DatasetName": "AitQa", "Answer": ["9586", "higher"], "RawAnswer": "9586, higher", "id": 111} | |
| {"Table": {"columns": ["", "", "Year Ended December 31,", "Year Ended December 31,"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24], "data": [["", "", "2017 (a)%", "2016 (a)%"], ["Nonoperating income (expense):", "Interest income", "59", "43"], ["Operating expense:", "Depreciation and amortization", "2,213", "2,036"], ["Nonoperating income (expense):", "Income tax expense", "923", "1,585"], ["Operating expense:", "Other operating expenses", "5,717", "5,477"], ["Operating revenue:", "Passenger revenue", "$35,494", "$34,432"], ["Operating expense:", "Operating income", "3,781", "4,474"], ["Nonoperating income (expense):", "Miscellaneous, net", "(104)", "(11)"], ["Nonoperating income (expense):", "Interest expense", "(691)", "(694)"], ["Nonoperating income (expense):", "Interest capitalized", "87", "74"], ["Operating expense:", "Landing fees and other rent", "2,307", "2,230"], ["Operating expense:", "Aircraft maintenance materials and outside repairs", "1,912", "1,801"], ["Nonoperating income (expense):", "Total nonoperating expense, net", "(650)", "(588)"], ["Operating revenue:", "Total operating revenue", "38,917", "37,654"], ["Operating expense:", "Total operating expense", "35,136", "33,180"], ["Nonoperating income (expense):", "Income before income taxes", "3,131", "3,886"], ["Operating expense:", "Special charges", "181", "767"], ["Operating expense:", "Regional capacity purchase", "2,299", "2,263"], ["Operating expense:", "Salaries and related costs", "11,269", "10,481"], ["Operating expense:", "Aircraft fuel", "7,120", "5,987"], ["Operating expense:", "Distribution expenses", "1,478", "1,437"], ["Operating expense:", "Aircraft rent", "640", "700"], ["Operating revenue:", "Cargo", "1,147", "962"], ["Nonoperating income (expense):", "Net income", "$2,208", "$2,301"], ["Nonoperating income (expense):", "Earnings per share, diluted", "$7.27", "$6.96"]]}, "Question": "What is the total nonoperating expense for the year ended December 31, 2017, andWhat is the percentage change it the percentage change in total nonoperating income from 2016 to 2017? Express it as a percentage.", "DatasetName": "AitQa", "Answer": ["7860.27", "-0.1446"], "RawAnswer": "7860.27, -0.1446", "id": 112} | |
| {"Table": {"columns": ["", "", "Year Ended December 31,", "Year Ended December 31,"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24], "data": [["", "", "2018", "2016 (a)"], ["Operating expense:", "Distribution expenses", "1,605", "1,437"], ["Nonoperating income (expense):", "Interest income", "104", "43"], ["Operating expense:", "Operating income", "3,391", "4,474"], ["Operating expense:", "Depreciation and amortization", "2,307", "2,036"], ["Operating expense:", "Landing fees and other rent", "2,430", "2,230"], ["Operating expense:", "Special charges", "502", "767"], ["Operating expense:", "Salaries and related costs", "11,802", "10,481"], ["Nonoperating income (expense):", "Miscellaneous, net", "(78)", "(11)"], ["Nonoperating income (expense):", "Income tax expense", "545", "1,585"], ["Nonoperating income (expense):", "Interest expense", "(751)", "(694)"], ["Operating revenue:", "Passenger revenue", "$38,837", "$34,432"], ["Nonoperating income (expense):", "Interest capitalized", "72", "74"], ["Operating expense:", "Aircraft maintenance materials and outside repairs", "1,820", "1,801"], ["Operating revenue:", "Other operating revenue", "2,431", "2,261"], ["Operating expense:", "Regional capacity purchase", "2,679", "2,263"], ["Operating expense:", "Other operating expenses", "5,975", "5,477"], ["Operating revenue:", "Cargo", "1,274", "962"], ["Operating expense:", "Aircraft fuel", "$9,586.00", "$5,987.000"], ["Nonoperating income (expense):", "Net income", null, "$2,301"], ["Operating expense:", "Total operating expense", "39,151", "33,180"], ["Nonoperating income (expense):", "Income before income taxes", "2,738", "3,886"], ["Operating expense:", "Aircraft rent", "446", "700"], ["Nonoperating income (expense):", "Earnings per share, basic", "$7.96", "N/A"], ["Nonoperating income (expense):", "Earnings per share, diluted", "$7.93", "$6.96"]]}, "Question": "What is the total operating expense for the year ended December 31, 2018, and what is the percentage increase in total operating expense from 2016 to 2018? Express it as a percentage", "DatasetName": "AitQa", "Answer": ["124236", "0.15"], "RawAnswer": "124236, 0.15", "id": 113} | |
| {"Table": {"columns": ["", "Year Ended December 31,", "", "Year Ended December 31,"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22], "data": [["", "2018", "", "2016 (a)"], ["Operating expense:", "39,149", "Total operating expense", "33,178"], ["Operating expense:", "5,973", "Other operating expenses", "5,474"], ["Operating expense:", "2,679", "Regional capacity purchase", "2,263"], ["Operating expense:", "446", "Aircraft rent", "700"], ["Nonoperating income (expense):", "(751)", "Interest expense", "Null"], ["Nonoperating income (expense):", "(653)", "Total nonoperating expense, net", "(588)"], ["Operating revenue:", "42,542", "Total operating revenue", "37,654"], ["Operating expense:", "2,430", "Landing fees and other rent", "2,230"], ["Operating revenue:", "$1,274.00", "Cargo", "$962.0"], ["Operating expense:", "2,307", "Depreciation and amortization", "2,036"], ["Operating expense:", "1,820", "Aircraft maintenance materials and outside repairs", "1,801"], ["Operating expense:", "502", "Special charges", "767"], ["Operating revenue:", "2,431", "Other operating revenue", "2,261"], ["Nonoperating income (expense):", "104", "Interest income", "43"], ["Nonoperating income (expense):", "(78)", "Miscellaneous, net", "(11)"], ["Operating revenue:", "$38,837", "Passenger revenue", "$34,431"], ["Operating expense:", "1,605", "Distribution expenses", "1,437"], ["Operating expense:", "3,393", "Operating income", "4,476"], ["Nonoperating income (expense):", "2,740", "Income before income taxes", "3,888"], ["Operating expense:", "9,586", "Aircraft fuel", "5,987"], ["Nonoperating income (expense):", "545", "Income tax expense", "1,587"], ["Nonoperating income (expense):", "$2,195", "Net income", "$2,301"]]}, "Question": "What is the total operating expense for the year ended December 31, 2018, and how does it compare to the percentage change in total operating revenue from 2016 to 2018? Express it as a percentage.", "DatasetName": "AitQa", "Answer": ["154974", "-0.14"], "RawAnswer": "154974, -0.14", "id": 114} | |
| {"Table": {"columns": ["", "Year Ended December 31,", "", "Year Ended December 31,"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22], "data": [["", "2017 (a)", "", "2016 (a)"], ["Operating expense:", "2,307", "Landing fees and other rent", "2,230"], ["Operating expense:", "2,213", "Depreciation and amortization", "2,036"], ["Operating expense:", "11,269", "Salaries and related costs", "10,481"], ["Operating revenue:", "38,917", "Total operating revenue", "37,654"], ["Operating expense:", "3,783", "Operating income", "4,476"], ["Operating expense:", "2,299", "Regional capacity purchase", "2,263"], ["Nonoperating income (expense):", "3,133", "Income before income taxes", "3,887"], ["Operating expense:", "181", "Special charges", "767"], ["-", "(650)", "Total nonoperating expense, net", "Null"], ["Nonoperating income (expense):", "(104)", "Miscellaneous, net", "(11)"], ["Operating expense:", "640", "Aircraft rent", "700"], ["Operating revenue:", "$35,494", "Passenger revenue", "$34,431"], ["Nonoperating income (expense):", "87", "Interest capitalized", "74"], ["Operating expense:", "5,714", "Other operating expenses", "5,474"], ["Operating expense:", "1,912", "Aircraft maintenance materials and outside repairs", "1,801"], ["Operating revenue:", "2,276", "Other operating revenue", "2,261"], ["Operating revenue:", "1,147%", "Cargo", "962%"], ["Operating expense:", "1,478", "Distribution expenses", "1,437"], ["Nonoperating income (expense):", "(691)", "Interest expense", "(694)"], ["Nonoperating income (expense):", "-", "Interest income", "43"], ["Nonoperating income (expense):", "905", "Income tax expense", "1,587"], ["Nonoperating income (expense):", "$2,228", "Net income", "$2,301"]]}, "Question": "What is the total operating expense for the year ended December 31, 2017, and how does it compare to the percentage change in total operating revenue from 2016 to 2017? Convert it as a decimal form.", "DatasetName": "AitQa", "Answer": ["109630", "-0.02"], "RawAnswer": "109630, -0.02", "id": 115} | |
| {"Table": {"columns": ["", "Year Ended December 31,", "", "Year Ended December 31,"], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22], "data": [["", "2017 (a)", "", "2016 (a)"], ["Operating expense:", "1,912", "Aircraft maintenance materials and outside repairs", "1,801"], ["Operating expense:", "11,269", "Salaries and related costs", "10,481"], ["Nonoperating income (expense):", "(104)", "Miscellaneous, net", "(11)"], ["Operating revenue:", "$1,147.00", "Cargo", "$962.000"], ["Operating expense:", "2,213", "Depreciation and amortization", "2,036"], ["Operating expense:", "1,478", "Distribution expenses", "1,437"], ["Nonoperating income (expense):", "(650)", "Total nonoperating expense, net", "(588)"], ["Operating expense:", "2,307", "Landing fees and other rent", "2,230"], ["Nonoperating income (expense):", "3,133", "Income before income taxes", "3,887"], ["Nonoperating income (expense):", "(691)", "Interest expense", "(694)"], ["Operating expense:", "7,120", "Aircraft fuel", "5,987"], ["Operating revenue:", "$35,494", "Passenger revenue", "$34,431"], ["Nonoperating income (expense):", "59", "Interest income", "43"], ["Operating expense:", "640", "Aircraft rent", "700"], ["Operating expense:", "5,714", "Other operating expenses", "5,474"], ["Operating expense:", "2,299", "Regional capacity purchase", "2,263"], ["Operating expense:", "35,134", "Total operating expense", "33,178"], ["Operating expense:", "3,783", "Operating income", "4,476"], ["Operating revenue:", "38,917", "Total operating revenue", "37,654"], ["Operating revenue:", "2,276", "Other operating revenue", "2,261"], ["Nonoperating income (expense):", "905", "Income tax expense", "1,587"], ["Nonoperating income (expense):", "$2,228", "Net income", "$2,301"]]}, "Question": "What is the total operating expense for the year ended December 31, 2017, and what is the percentage increase in total operating expense from 2016 to 2017? Convert it as a decimal form.", "DatasetName": "AitQa", "Answer": ["151703", "0.04"], "RawAnswer": "151703, 0.04", "id": 116} | |
| {"Table": {"columns": ["", "Year ended December 31,", "Per ASM", "Percent"], "index": [0, 1, 2, 3, 4, 5, 6], "data": [["", "2018", "change", "change"], ["Salaries, wages, and benefits", "4.93Β’", "$0.49Β’", "10.3 %"], ["Landing fees and airport rentals", "0.85", "$0.04", "4.9"], ["Fuel and oil", "2.97", "$(0.13)", "(4.6)"], ["Maintenance materials and repairs", "0.71", "$0.09", "???"], ["Depreciation and amortization", "0.77", "$0.03", "4.1"]]}, "Question": "What is the total change in cost per ASM for all categories combined, and what is the percentage change in cost for the category with the highest absolute change in cost per ASM?", "DatasetName": "AitQa", "Answer": ["0.78", "10.3"], "RawAnswer": "0.78, 10.3", "id": 117} | |
| {"Table": {"columns": ["Employee Group", "Approximate Number of Employees", "Amendable Date"], "index": [0, 1, 2, 3], "data": [["Southwest Flight Attendants", "+16,480.0 (approx)", "Null"], ["Southwest Customer Service Agents, Customer Representatives, and Source of Support Representatives", "+7,416.00 (approx)", "December 2018"], ["Southwest Flight Crew Training Instructors", "+134.000 (approx)", "January 2020"], ["Southwest Meteorologists", "+10.0 (approx)", "June 2019"]]}, "Question": "What is the total approximate number of employees across all employee groups, and what is the difference in the number of employees between the largest and smallest employee groups?", "DatasetName": "AitQa", "Answer": ["24040", "16470"], "RawAnswer": "24040, 16470", "id": 118} | |
| {"Table": {"columns": ["", "Group", "", "Company", ""], "data": [["", "2019", "2018", "2019", "2018"], ["", "Β£m", "Β£m", "Β£m", "Β£m"], ["Share Incentive Plan (βSIPβ)", "β", "0.82", "β", "β"], ["Sharesave scheme (βSAYEβ)", "0.31", "0.31", "β", "β"], ["Performance Share Plan (βPSPβ)", "2.16", "1.85", "1.34", "0.72"], ["Deferred Annual Bonus and Single Incentive Plan", "2.37", "0.41", "0.41", "0.21"], ["Total share-based payment charge", "4.84", "3.4", "1.75", "0.93"], ["NI and apprenticeship levy on applicable schemes", "1.24", "0.41", "0.62", "0.1"], ["Total charge", "6.08", "3.81", "2.37", "1.03"]], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8]}, "Question": "What was the change in PSP payments for the Group in 2019 from 2018, and what was the percentage change in PSP payments during the same period?", "DatasetName": "TatQa", "Answer": ["0.3", "16.67"], "RawAnswer": "0.3, 16.67", "id": 119} | |
| {"Table": {"columns": ["", "FY19 EAIP NEO Payout Amounts", "", "", "", ""], "data": [["NEO", "Base Salary", "Annual Incentive Target (%)", "Company Performance Funding (%)", "Individual Performance Factor (%)", "Individual Payout Amount ($)(4)"], ["Gregory S. Clark(1)", "1,030,000", "154", "n/a", "n/a", "0"], ["Nicholas R. Noviello(2)", "669,500", "103", "n/a", "n/a", "502,125"], ["Amy L. Cappellanti-Wolf(3)", "453,200", "72", "36.7", "100", "112,937"], ["Samir Kapuria(3)", "463,500", "103", "36.7", "100", "156,737"], ["Scott C. Taylor(3)", "618,000", "103", "36.7", "100", "220,008"]], "index": [0, 1, 2, 3, 4, 5]}, "Question": "What is the NEOs' total salary, ignore n/a value and Above these, Who receive highest base salary?", "DatasetName": "TatQa", "Answer": ["3140000", "Gregory S. Clark"], "RawAnswer": "3140000, Gregory S. Clark", "id": 120} | |
| {"Table": {"columns": ["", "June 1, 2019", "", "June 2, 2018", ""], "data": [["", "Carrying Value", "Fair Value", "Carrying Value", "Fair Value"], ["Note payable", "$1,322", "$1,348", "$4,893", "$4,874"], ["Long-term leases", "1,086", "968", "1,380", "1,206"], ["", "$2,407", "$2,316", "$6,273", "$6,080"]], "index": [0, 1, 2, 3]}, "Question": "What is the difference between the carrying value and the fair value of Notes Payable in 2019, and has the carrying value of the Note Payable increased or decreased compared to last year, increase or decrease?", "DatasetName": "TatQa", "Answer": ["26", "decrease"], "RawAnswer": "26, decrease", "id": 121} | |
| {"Table": {"columns": ["", "December 31,", ""], "data": [["", "2019", "2018"], ["Cash and cash equivalents", "$124,940", "$152,957"], ["Availability under revolving credit facility", "268,830", "515,000"], ["Total liquidity", "$393,870", "$667,957"]], "index": [0, 1, 2, 3]}, "Question": "What was the cash and cash equivalents in 2019, and what was the percentage change in cash and cash equivalents between 2018 and 2019?", "DatasetName": "TatQa", "Answer": ["121398", "-18.25"], "RawAnswer": "121398, -18.25", "id": 122} | |
| {"Table": {"columns": ["Β£m", "2019", "2018"], "data": [["Summarised income statement", "", ""], ["Revenue", "65.9", "70.3"], ["Loss for the year", "(182.5)", "(106.8)"], ["Summarised balance sheet", "", ""], ["Investment and development property", "697.1", "867.1"], ["Borrowings β 4.125% bonds 2023", "(494.9)", "(493.9)"], ["Borrowings β compound financial instrument", "(503.2)", "(488.0)"], ["Other net liabilities", "(28.5)", "(32.1)"], ["Net liabilities", "(329.5)", "(147.0)"]], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8]}, "Question": "What was the change in revenue between 2018 and 2019, and What was the percentage change?", "DatasetName": "TatQa", "Answer": ["-4.3", "-6.3"], "RawAnswer": "-4.3, -6.3", "id": 123} | |
| {"Table": {"columns": ["Years ended August 31,", "2019", "2018 (1)", "Change"], "data": [["(in thousands of dollars, except percentages)", "$", "$", "%"], ["Cash flow from operating activities", "$894,772", "$639,370", "41.1"], ["Cash flow from investing activities", "$(485,210)", "$(2,257,416)", "$(80.8)"], ["Cash flow from financing activities", "$(678,999)", "$1,468,920", "β"], ["Effect of exchange rate changes on cash and cash equivalents denominated in a foreign currency", "$(452)", "$2,049", "β"], ["Net change in cash and cash equivalents from continuing operations", "$(269,889)", "$(147,076)", "86.0"], ["Net change in cash and cash equivalent from discontinued operations(2)", "$755,821", "$16,823", "β"], ["Cash and cash equivalents, beginning of the year", "$87,267", "$217,520", "$(61.7)"], ["Cash and cash equivalents, end of the year", "$573,199", "$87,267", "β"]], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8]}, "Question": "What was the increase or decrease in Cash flow from financing activities from 2018 to 2019, and how did the cash flow from investing activities change during the same period?", "DatasetName": "TatQa", "Answer": ["766914", "1720588"], "RawAnswer": "766914, 1720588", "id": 124} | |
| {"Table": {"columns": ["", "", "Three Months Ended", ""], "data": [["", "December 31, 2019", "September 29, 2019", "December 31, 2018"], ["", "", "(Unaudited, in millions)", ""], ["Net income attributable to parent company", "$403", "$311", "$430"], ["As percentage of net revenues", "14.6%", "12.1%", "16.2%"]], "index": [0, 1, 2, 3]}, "Question": "What was the net income in the fourth quarter of 2019, and how does average net income during same period?", "DatasetName": "TatQa", "Answer": ["694", "347"], "RawAnswer": "694, 347", "id": 125} | |
| {"Table": {"columns": ["", "2019", "2018"], "data": [["", "$'000", "$'000"], ["Current", "", ""], ["Trade payables", "3,512", "4,210"], ["Accrued expenses", "6,890", "2,790"], ["GST and employment taxes payable", "2,720", "1,290"], ["Other payables", "6,340", "4,280"], ["Total", "19,462", "12,670"]], "index": [0, 1, 2, 3, 4, 5, 6]}, "Question": "What was the difference value in trade payables from 2018 to 2019? and How does it compare to the difference value in GST and employment taxes payable, higher or lower?", "DatasetName": "TatQa", "Answer": ["-698", "lower"], "RawAnswer": "-698, lower", "id": 126} | |
| {"Table": {"columns": ["", "", "December 31,", "", ""], "data": [["(in thousands of $)", "2018", "2017", "Change", "% Change"], ["Share of net earnings in Golar Partners", "7,201", "18,221", "(10,921)", "(62)%"], ["Impairment of investment in Golar Partners", "(153,870)", "β", "(153,870)", "100%"], ["Net loss on deemed disposal of investments in Golar Partners", "β", "(17,501)", "17,501", "100%"], ["Share of net earnings in other affiliates", "3,821", "816", "2,995", "379%"], ["", "(142,837)", "1,548", "(144,385)", "(9,607)%"]], "index": [0, 1, 2, 3, 4, 5]}, "Question": "In which year was the share of net earnings in Golar Partners higher, and what was the corresponding change in ownership interest held in Golar Partners during that year, and what was the total number of values during that year?", "DatasetName": "TatQa", "Answer": ["2017", "36990"], "RawAnswer": "2017, 36990", "id": 127} | |
| {"Table": {"columns": ["", "Pro Forma Year Ended September 30, 2018 (unaudited)", "Pro Forma Year Ended September 30, 2017 (unaudited)"], "data": [["Net sales", "$83,387,553", "$92,362,236"], ["Income from operations", "$5,721,409", "$8,420,086"], ["Net income", "4,938,600", "$5,983,289"], ["Net income per share:", "", ""], ["Basic", "0.37", "$0.44"], ["Diluted", "0.37", "$0.44"]], "index": [0, 1, 2, 3, 4, 5]}, "Question": "What was the percentage change in net sales from 2017 to 2018, and how did this compare to the percentage change in income from operations during the same period, higher or lower?", "DatasetName": "TatQa", "Answer": ["-9.72", "higher"], "RawAnswer": "-9.72, higher", "id": 128} | |
| {"Table": {"columns": ["", "2019", "2018"], "data": [["Issued and paid up capital", "85,365", "67,450"], ["Contract for future issue of equity", "16,780", "-"], ["Total contributed equity", "102,146", "67,450"], ["Number of stapled securities on Issue", "2019", "2018"], ["Opening balance at 1 July", "570,288,183", "523,172,192"], ["Institutional and retail placement", "107,791,496", "40,507,139"], ["Distribution reinvestment plan", "9,326,647", "6,609,851"], ["Closing balance at 30 June", "687,407,326", "570,288,183"]], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8]}, "Question": "What was the increase or decrease in the Issued and paid up capital from 2018 to 2019, and how does this compare to the total amount of stapled securities issued during the same period, higher or lower?", "DatasetName": "TatQa", "Answer": ["17564", "higher"], "RawAnswer": "17564, higher", "id": 129} | |
| {"Table": {"columns": ["(In millions)", "", "", ""], "data": [["Year Ended June 30,", "2019", "2018", "2017"], ["Balance, beginning of period", "$ 409", "$ 372", "$ 421"], ["Charged to costs and other", "157", "138", "60"], ["Write-offs", "(119)", "(101)", "(109)"], ["Balance, end of period", "$ 447", "$ 409", "$ 372"]], "index": [0, 1, 2, 3, 4]}, "Question": "What was the change in the balance from 2017 to 2019, and during the period, what is the average balance number of balance?", "DatasetName": "TatQa", "Answer": ["-12", "389"], "RawAnswer": "-12, 389", "id": 130} | |
| {"Table": {"columns": ["", "2015", "2016", "2017", "20181", "2019"], "data": [["Net Income", "$692", "$999", "$1,261", "$1,303", "$1,974"], ["Income tax provision (benefit)", "163", "161", "32", "(113)", "(0)"], ["Other expense (income)", "139", "49", "(32)", "(25)", "(19)"], ["Loss (gain) on retirement of long-term obligations", "82", "(1)", "72", "3", "23"], ["Interest expense", "614", "738", "773", "851", "838"], ["Interest income", "(18)", "(27)", "(36)", "(57)", "(48)"], ["Other operating expenses", "69", "75", "264", "528", "171"], ["Depreciation, amortization and accretion", "1,324", "1,572", "1,767", "2,174", "1,831"], ["Stock-based compensation expense", "94", "93", "112", "142", "114"], ["ADJUSTED EBITDA", "$3,159", "$3,660", "$4,213", "$4,807", "$4,887"], ["Divided by total revenue", "$4,915", "$5,960", "$6,864", "$7,663", "$7,807"], ["ADJUSTED EBITDA MARGIN", "64%", "61%", "61%", "63%", "63%"]], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]}, "Question": "What was the net income in 2015, and how many years did net income exceed $1,000 million?", "DatasetName": "TatQa", "Answer": ["672", "3"], "RawAnswer": "672, 3", "id": 131} | |
| {"Table": {"columns": ["", "As of December 31,", ""], "data": [["", "2019", "2018"], ["Balance at beginning of the year", "33,733,249", "33,926,620"], ["Repurchases", "(433,393)", "(352,363)"], ["Restricted stock unit issuances", "146,722", "158,992"], ["Balance at end of period", "33,446,578", "33,733,249"]], "index": [0, 1, 2, 3, 4]}, "Question": "What was the change in the Balance at the beginning of the year between 2018 and 2019, and What is the average balance in two years?", "DatasetName": "TatQa", "Answer": ["-187739", "32844596.5"], "RawAnswer": "-187739, 32844596.5", "id": 132} | |
| {"Table": {"columns": ["", "", "", "Year Ended December 31,", "", "", ""], "data": [["", "2019", "Grant Date Fair Value", "2018", "Grant Date Fair Value", "2017", "Grant Date Fair Value"], ["RSAs Granted", "567,750", "$ 10.16", "492,556", "$ 12.82", "127,823", "$ 23.81"], ["PSAs Granted", "382,822", "$ 12.82", "-", "$ -", "38,091", "$ 23.97"], ["Total", "950,573", "", "492,556", "", "165,914", ""]], "index": [0, 1, 2, 3]}, "Question": "What was the increase or decrease in the RSAs granted from 2018 to 2019, and what was the percentage increase in the PSAs granted during the period?", "DatasetName": "TatQa", "Answer": ["73004", "15.27"], "RawAnswer": "73004, 15.27", "id": 133} | |
| {"Table": {"columns": ["(in millions)", "2019", "2018", "2017"], "data": [["Net cash provided by operating activities", "$4,542.7", "$4,140.2", "$2,993.8"], ["Net cash used for investing activities", "(468.3)", "(4,816.2)", "(455.1)"], ["Net cash used for financing activities", "(3,027.5)", "(5.8)", "(1,216.9)"], ["Effect of foreign currency exchange rates on cash and cash equivalents", "(13.1)", "(1.7)", "8.7"], ["Net increase (decrease) in cash and cash equivalents", "$1,035.6", "$(681.7)", "$1,331.2"]], "index": [0, 1, 2, 3, 4]}, "Question": "What was the increase in net cash provided by operating activities from 2018 to 2019, and What is the average net cash provided by operating activities in two years?", "DatasetName": "TatQa", "Answer": ["392.5", "4225.55"], "RawAnswer": "392.5, 4225.55", "id": 134} | |
| {"Table": {"columns": ["", "Years Ended December 31", ""], "data": [["", "2019", "2018"], ["Salaries, Wages and Benefits ", "$8,625,302", "$5,923,459"], ["Professional Fees ", "865,338", "368,963"], ["Acquisition Related Costs ", "813,456", "618,000"], ["Board Compensation ", "139,420", "146,567"], ["Investor Relations ", "107,435", "114,960"], ["Consultants ", "249,638", "170,523"], ["Advertising and Promotion ", "721,156", "304,970"], ["Depreciation and Amortization ", "1,304,673", "321,860"], ["Research, Development, and Maintenance ", "2,717,997", "687,046"], ["Integration Incentives ", "212,406", "134,763"], ["Office, Facility and Other ", "707,336", "480,138"], ["Travel ", "707,123", "397,072"], [" Subtotal ", "17,160,000", "9,666,308"], ["Stock-based Compensation ", "2,298,763", "2,563,706"]], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]}, "Question": "What were the total operating expenses in 2019, and what was the percentage change in salaries, wages, and benefits expense in 2019 compared to 2018?", "DatasetName": "TatQa", "Answer": ["36005980", "45.48"], "RawAnswer": "36005980, 45.48", "id": 135} | |
| {"Table": {"columns": ["BCE retail subscribers", "", "", ""], "data": [["(millions)", "2019", "2018", "Change"], ["Wireless", "10.25", "9.88", "+3.6%"], ["High-speed Internet(1)", "3.66", "3.51", "+4.3%"], ["Television(1)", "2.85", "2.85", "+0.2%"], ["Total growth services, subscribers: retail Internet, IPTV and wireless", "16.78", "16.26", "+3.2%"], ["Local residential telephone services(1)(2)", "2.78", "3.05", "(8.9%)"], ["Total(2)", "19.55", "19.31", "+1.3%"]], "index": [0, 1, 2, 3, 4, 5, 6]}, "Question": "What was the percentage change in BCE retail subscribers for Wireless in 2019, and what is the difference between the year and 2018?", "DatasetName": "TatQa", "Answer": ["9.96", "0.35"], "RawAnswer": "9.96, 0.35", "id": 136} | |
| {"Table": {"columns": ["", "", "", "Year Ended December 31,", "", ""], "data": [["", "2018", "2017", "2016", "2015", "2014"], ["", "", "", "(in thousands)", "", ""], ["Total net revenue", "$3,397,122", "$2,280,680", "$1,759,982", "$1,305,131", "$875,698"], ["Less: Starbucks transaction-based revenue", "β", "β", "81,270", "146,551", "126,715"], ["Less: transaction-based costs", "1,605,319", "1,267,199", "971,496", "692,847", "464,384"], ["Less: bitcoin costs", "169,771", "β", "β", "β", "β"], ["Add: deferred revenue adjustment related to purchase accounting", "$13,239", "$β", "$β", "$β", "$β"], ["Adjusted Revenue", "$1,635,270", "$1,013,482", "$707,216", "$465,733", "$284,599"]], "index": [0, 1, 2, 3, 4, 5, 6, 7]}, "Question": "What is the total new revenue across all years, and What is the average number of new revenue during all years?", "DatasetName": "TatQa", "Answer": ["9338461", "1867692.2"], "RawAnswer": "9338461, 1867692.2", "id": 137} | |
| {"Table": {"columns": ["", "Target Allocations", "Percentage of Plan Assets at December 31,", ""], "data": [["Asset Category", "2020", "2019", "2018"], ["Equity securities", "13.4%", "12.7%", "11.8%"], ["Debt securities", "82.5%", "83.2%", "84.3%"], ["Other", "4.1%", "4.2%", "4.1%"], ["Total", "100%", "100%", "100%"]], "index": [0, 1, 2, 3, 4]}, "Question": "What is the total percentage of equity securities during all years, and how does this compare to total percentage of debt securities, higher or lower?", "DatasetName": "TatQa", "Answer": ["38", "lower"], "RawAnswer": "38, lower", "id": 138} | |
| {"Table": {"columns": ["", "2019", "2018"], "data": [["", "(in thousands)", ""], ["Deferred tax assets", "", ""], ["Tax credits", "$81,864", "$71,164"], ["Accruals", "26,187", "24,152"], ["Pension liabilities", "25,193", "21,451"], ["Inventory valuations", "19,129", "19,069"], ["Deferred revenue", "7,851", "9,404"], ["Equity compensation", "7,253", "7,406"], ["Vacation accrual", "4,911", "4,915"], ["Investment impairment", "3,391", "β"], ["Net operating loss carryforwards", "2,786", "3,768"], ["Marketable securities", "β", "991"], ["Other", "1,516", "706"], ["Gross deferred tax assets", "180,081", "163,025"], ["Less: valuation allowance", "(79,492)", "(71,947)"], ["Total deferred tax assets", "$100,589", "$91,078"], ["Deferred tax liabilities:", "", ""], ["Depreciation", "$(18,785)", "$(14,449)"], ["Intangible assets", "(17,206)", "(24,937)"], ["Marketable securities", "(1,649)", "β"], ["Total deferred tax liabilities", "$(37,640)", "$(39,386)"], ["Net deferred assets", "$62,949", "$51,691"]], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21]}, "Question": "What was the Pension liabilities for in 2019, how did this compare to the last year, lower or higher?", "DatasetName": "TatQa", "Answer": ["24459", "higher"], "RawAnswer": "24459, higher", "id": 139} | |
| {"Table": {"columns": ["", "Fiscal 2019", "Fiscal 2018", "% Change"], "data": [["", "", "(in millions)", ""], ["Sales", "$ 874.3", "$ 690.8", "27 %"], ["Operating income", "79.5", "62.2", "28"], ["Adjusted EBITDA", "113.8", "75.5", "51"]], "index": [0, 1, 2, 3]}, "Question": "What is the Sales increase from 2018 to 2019, and What is the percentage increase during the period?", "DatasetName": "TatQa", "Answer": ["179.1", "26.70"], "RawAnswer": "179.1, 26.70", "id": 140} | |
| {"Table": {"columns": ["March 31,", "", ""], "data": [["(in thousands)", "2019", "2018"], ["Raw materials", "$3,542", "$3,055"], ["Finished goods", "6,542", "6,430"], ["Total inventories", "$10,081", "$9,488"]], "index": [0, 1, 2, 3]}, "Question": "What was the percentage change in the value of raw materials in 2019 compared to 2018, and what proportion of total inventories did finished goods represent in 2019?", "DatasetName": "TatQa", "Answer": ["16.03", "476"], "RawAnswer": "16.03, 476", "id": 141} | |
| {"Table": {"columns": ["", "As of December 31,", ""], "data": [["", "2019", "2018"], ["Land and land improvements", "$1,126", "$1,170"], ["Buildings and improvements", "70,400", "72,638"], ["Machinery and equipment", "231,041", "238,567"], ["Less: Accumulated depreciation", "(194,380)", "(209,992)"], ["Property, plant and equipment, net", "$108,189", "$102,383"]], "index": [0, 1, 2, 3, 4, 5]}, "Question": "What was the change in the amount of Buildings and Improvements between 2018 and 2019, and What was the percentage change during this period?", "DatasetName": "TatQa", "Answer": ["-2172", "-3.08"], "RawAnswer": "-2172, -3.08", "id": 142} | |
| {"Table": {"columns": ["", "", "For the years ended", "", ""], "data": [["", "September 30, 2019", "", "September 30, 2018", ""], ["", "Amount", "% of Revenue", "Amount", "% of Revenue"], ["", "", "(Amounts in millions)", "", ""], ["Customer A", "$3.9", "5%", "$7.7", "10%"], ["Customer B", "$10.5", "13%", "1.1", "3%"]], "index": [0, 1, 2, 3, 4]}, "Question": "What is the total amount of two customer, and What is the average revenue between two customers in 2019?", "DatasetName": "TatQa", "Answer": ["14", "9"], "RawAnswer": "14, 9", "id": 143} | |
| {"Table": {"columns": ["Name", "Fees Earned or Paid in Cash ($)", "Stock Awards ($)", "Option Awards ($)", "Total($)"], "data": [["Richard S. Hill", "$109,180", "$154,487", "β", "$263,667"], ["Darcy Antonellis", "$56,993", "$154,487", "β", "$211,480"], ["David C. Habiger", "$72,100", "$154,487", "β", "$226,587"], ["V. Sue Molina", "$83,430", "$154,487", "β", "$237,917"], ["George A. Riedel", "$70,383", "$154,487", "β", "$224,870"], ["Christopher A. Seams", "$84,460", "$154,487", "β", "$238,947"]], "index": [0, 1, 2, 3, 4, 5]}, "Question": "What are the total number of Fees Earned or Paid in Cash, and what is the average number of these?", "DatasetName": "TatQa", "Answer": ["462666", "77111"], "RawAnswer": "462666, 77111", "id": 144} | |
| {"Table": {"columns": ["", "", "2019", "2018"], "data": [["Note", "Note", "$ million", "$ million"], ["Current", "", "", ""], ["Trade payables", "", "25.3", "13.3"], ["Payments received on account1", "", "2.4", "1.0"], ["Other taxes and social security costs", "", "4.7", "3.8"], ["Other payables", "", "1.5", "1.0"], ["Accruals1", "", "50.7", "44.5"], ["Government grants1", "24", "1.9", "1.3"], ["", "", "86.6", "64.9"], ["Non-current", "", "", ""], ["Other payables2", "", "0.8", "4.5"], ["Government grants2", "24", "0.2", "1.0"], ["", "", "1.0", "5.6"], ["", "", "87.6", "70.5"]], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]}, "Question": "What is the total money of Trade payables in two years, and how does it compare to the Payments received on account1 in the same period, higher or lower?", "DatasetName": "TatQa", "Answer": ["37.5", "higher"], "RawAnswer": "37.5, higher", "id": 145} | |
| {"Table": {"columns": ["", "2019", "2018", "CHANGE", "% CHANGE"], "data": [["Retail net subscriber activations (losses)β(1)", "6,243", "22,201", "(15,958)", "(71.9%)"], ["IPTV", "94,220", "114,113", "(19,893)", "(17.4%)"], ["Satellite", "(87,986)", "(91,908)", "3,922", "4.3%"], ["Total retail subscribersβ(1)", "2,855,638", "2,849,403", "6,235", "0.2%"], ["IPTV", "1,820,197", "1,725,977", "94,220", "5.5%"], ["Satellite", "1,035,440", "1,123,426", "(87,986)", "(7.8%)"]], "index": [0, 1, 2, 3, 4, 5]}, "Question": "What is the total number in the column 2018, and What is the average number of it?", "DatasetName": "TatQa", "Answer": ["5754402", "959067"], "RawAnswer": "5754402, 959067", "id": 146} | |
| {"Table": {"columns": ["", "As of", "As of"], "data": [["", "December 31, 2019", "December 31, 2018"], ["Deferred tax assets:", "", ""], ["Reserves and accruals", "$64", "$46"], ["Research and development credits and other credits", "1,765", "1,670"], ["Net operating loss carry forward", "28,520", "26,300"], ["Stock based compensation", "8,600", "9,050"], ["Other", "11", "27"], ["Total deferred tax assets", "38,900", "37,000"], ["Valuation allowance", "(38,900)", "(37,000)"], ["Deferred tax assets after valuation allowance", "β", "β"], ["Total deferred tax liability", "β", "β"], ["Net deferred tax assets (liabilities)", "$β", "$β"]], "index": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]}, "Question": "What is the average number of Net operating loss carry forward in two years, and what is the increase value in two years?", "DatasetName": "TatQa", "Answer": ["26820", "2174"], "RawAnswer": "26820, 2174", "id": 147} | |
| {"Table": {"columns": ["", "December 31,", ""], "data": [["", "2018", "2019"], ["Loans due from subsidiaries - non-current portion", "47,800", "46,600"], ["Loans due from subsidiaries - current portion", "2,120", "2,180"], ["Total", "49,900", "48,700"]], "index": [0, 1, 2, 3]}, "Question": "What was the change in the Loans due from subsidiaries - current portion from 2018 to 2019, What was the corresponding percentage change during the same period?", "DatasetName": "TatQa", "Answer": ["-59", "-0.13"], "RawAnswer": "-59, -0.13", "id": 148} | |
| {"Table": {"columns": ["(in thousands of $)", "2019", "2018"], "data": [["Oil derivative instrument (see note 24)", "46,980", "87,270"], ["Operating lease right-of-use-assets (1)", "10,140", "β"], ["Foreign exchange swap (see note 24)", "220", "β"], ["Mark-to-market interest rate swaps valuation (see note 24)", "8", "6,480"], ["Investment in OLT-O (2)", "β", "7,560"], ["Other non-current assets (3)", "25,440", "41,950"], ["", "82,820", "143,280"]], "index": [0, 1, 2, 3, 4, 5, 6]}, "Question": "What was the change in Oil derivative instrument between 2018 and 2019, and how did the corresponding percentage change during the same period?", "DatasetName": "TatQa", "Answer": ["-39090", "-46.13"], "RawAnswer": "-39090, -46.13", "id": 149} | |
| {"Table": {"columns": ["($ in millions)", "", ""], "data": [["For the year ended December 31:", "2019", "2018"], ["Net cash provided by/(used in) continuing operations", "", ""], ["Operating activities", "$15,200", "$15,700"], ["Investing activities", "(27,800)", "(5,050)"], ["Financing activities", "9,300", "(10,800)"], ["Effect of exchange rate changes on cash, cash equivalents and restricted cash", "(172)", "(510)"], ["Net change in cash, cash equivalents and restricted cash", "$(3,390)", "$(650)"]], "index": [0, 1, 2, 3, 4, 5, 6]}, "Question": "What was the increase or decrease in cash from operating activities from 2018 to 2019, and What is the corresponding percentage change during the same period?", "DatasetName": "TatQa", "Answer": ["-477", "-3.13"], "RawAnswer": "-477, -3.13", "id": 150} | |