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płock governorate | https://en.wikipedia.org/wiki/P%C5%82ock_Governorate | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12333984-1.html.csv | ordinal | the second most spoken language in the plock governorate is yiddish . | {'row': '2', 'col': '2', 'order': '2', 'col_other': '1', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'number', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; number ; 2 }'}, 'language'], 'result': 'yiddish', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; number ; 2 } ; language }'}, 'yiddish'], 'r... | eq { hop { nth_argmax { all_rows ; number ; 2 } ; language } ; yiddish } = true | select the row whose number record of all rows is 2nd maximum . the language record of this row is yiddish . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'number_5': 5, '2_6': 6, 'language_7': 7, 'yiddish_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmax_0': 'nth_argmax', 'all_rows_4': 'all_rows', 'number_5': 'number', '2_6': '2', 'language_7': 'language', 'yiddish_8': 'yiddish'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'number_5': [0], '2_6': [0], 'language_7': [1], 'yiddish_8': [2]} | ['language', 'number', 'percentage ( % )', 'males', 'females'] | [['polish', '447 685', '80.86', '216 794', '230 891'], ['yiddish', '51 215', '9.25', '24 538', '26 677'], ['german', '35 931', '6.49', '17 409', '18 522'], ['russian', '15 137', '2.73', '13 551', '1 586'], ['ukrainian', '2 350', '0.42', '2 302', '48'], ['other', '1 285', '0.23', '1 041', '244'], ["persons that did n't ... |
win ( tv station ) | https://en.wikipedia.org/wiki/WIN_%28TV_station%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-13596926-1.html.csv | majority | most of the channels have an analogue power of over 1000 kw . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'greater_than', 'value': '1000 kw', 'subset': None} | {'func': 'most_greater', 'args': ['all_rows', 'analogue power', '1000 kw'], 'result': True, 'ind': 0, 'tointer': 'for the analogue power records of all rows , most of them are greater than 1000 kw .', 'tostr': 'most_greater { all_rows ; analogue power ; 1000 kw } = true'} | most_greater { all_rows ; analogue power ; 1000 kw } = true | for the analogue power records of all rows , most of them are greater than 1000 kw . | 1 | 1 | {'most_greater_0': 0, 'result_1': 1, 'all_rows_2': 2, 'analogue power_3': 3, '1000 kw_4': 4} | {'most_greater_0': 'most_greater', 'result_1': 'true', 'all_rows_2': 'all_rows', 'analogue power_3': 'analogue power', '1000 kw_4': '1000 kw'} | {'most_greater_0': [1], 'result_1': [], 'all_rows_2': [0], 'analogue power_3': [0], '1000 kw_4': [0]} | ['region served', 'ch 1', 'on - air date', 'analogue power', 'digital power', 'analogue haat', 'digital haat', 'transmitter location'] | [['canberra', '31 ( uhf )', '31 march 1989', '600 kw', '50 kw', '362 m', '362 m', 'black mountain'], ['central tablelands', '39 ( uhf )', '30 december 1989', '2000 kw', '570 kw', '627 m', '628 m', 'mount canobolas'], ['central western slopes', '32 ( uhf )', '30 december 1989', '1000 kw', '600 kw', '648 m', '653 m', 'mo... |
8th coastal defence flotilla | https://en.wikipedia.org/wiki/8th_Coastal_Defence_Flotilla | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18965165-1.html.csv | comparative | there are more llublin class vessels in service than deba class vessels for the 8th coastal defence flotilla . | {'row_1': '2', 'row_2': '3', 'col': '4', 'col_other': '1', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'vessel', 'lublin class'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose vessel record fuzzily matches to lublin class .', 'tostr': 'filter_eq { all_rows ; vessel ; lublin class }'}, 'in service'], 're... | greater { hop { filter_eq { all_rows ; vessel ; lublin class } ; in service } ; hop { filter_eq { all_rows ; vessel ; deba class } ; in service } } = true | select the rows whose vessel record fuzzily matches to lublin class . take the in service record of this row . select the rows whose vessel record fuzzily matches to deba class . take the in service record of this row . the first record is greater than the second record . | 5 | 5 | {'greater_4': 4, 'result_5': 5, 'num_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'vessel_7': 7, 'lublin class_8': 8, 'in service_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'vessel_11': 11, 'deba class_12': 12, 'in service_13': 13} | {'greater_4': 'greater', 'result_5': 'true', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'vessel_7': 'vessel', 'lublin class_8': 'lublin class', 'in service_9': 'in service', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'vessel_11': 've... | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'vessel_7': [0], 'lublin class_8': [0], 'in service_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'vessel_11': [1], 'deba class_12': [1], 'in service_13': [3]} | ['vessel', 'origin', 'type', 'in service', 'unit'] | [['xavery czernicki class', 'poland', 'logistic support', '1', '2nd minelaying and transport squadron'], ['lublin class', 'poland', 'landing craft', '5', '2nd minelaying and transport squadron'], ['deba class', 'poland', 'landing craft', '3', '2nd minelaying and transport squadron'], ['gardno class', 'poland', 'mineswe... |
federal government college ikot ekpene | https://en.wikipedia.org/wiki/Federal_Government_College_Ikot_Ekpene | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-11464746-1.html.csv | majority | all of the houses in the federal government college ikot ekpene have a coeducational composition . | {'scope': 'all', 'col': '2', 'most_or_all': 'all', 'criterion': 'equal', 'value': 'coed', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'composition', 'coed'], 'result': True, 'ind': 0, 'tointer': 'for the composition records of all rows , all of them fuzzily match to coed .', 'tostr': 'all_eq { all_rows ; composition ; coed } = true'} | all_eq { all_rows ; composition ; coed } = true | for the composition records of all rows , all of them fuzzily match to coed . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'composition_3': 3, 'coed_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'composition_3': 'composition', 'coed_4': 'coed'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'composition_3': [0], 'coed_4': [0]} | ['house name', 'composition', 'named after', 'founded', 'colours'] | [['benue', 'coed', 'river benue', '1973', 'yellow'], ['gongola', 'coed', 'gongola river', '1980', 'purple'], ['niger', 'coed', 'river niger', '1973', 'green'], ['rima', 'coed', 'rima river', '1980', 'brown'], ['ogun', 'coed', 'ogun river', '1980', 'blue']] |
portuguese legislative election , 1991 | https://en.wikipedia.org/wiki/Portuguese_legislative_election%2C_1991 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1886589-1.html.csv | unique | july 19 , 1987 was the only year were the lead was over 25 % . | {'scope': 'all', 'row': '17', 'col': '7', 'col_other': '1', 'criterion': 'greater_than', 'value': '25 %', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_greater', 'args': ['all_rows', 'lead', '25 %'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose lead record is greater than 25 % .', 'tostr': 'filter_greater { all_rows ; lead ; 25 % }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_g... | and { only { filter_greater { all_rows ; lead ; 25 % } } ; eq { hop { filter_greater { all_rows ; lead ; 25 % } ; date released } ; july 19 , 1987 } } = true | select the rows whose lead record is greater than 25 % . there is only one such row in the table . the date released record of this unqiue row is july 19 , 1987 . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_greater_0': 0, 'all_rows_6': 6, 'lead_7': 7, '25%_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'date released_9': 9, 'july 19 , 1987_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_greater_0': 'filter_greater', 'all_rows_6': 'all_rows', 'lead_7': 'lead', '25%_8': '25 %', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'date released_9': 'date released', 'july 19 , 1987_10': 'july 19 , 1987'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_greater_0': [1, 2], 'all_rows_6': [0], 'lead_7': [0], '25%_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'date released_9': [2], 'july 19 , 1987_10': [3]} | ['date released', 'polling institute', 'social democratic', 'socialist', 'green - communist', 'democratic and social centre', 'lead'] | [['october 6 , 1991', 'election results', '50.6 % 135 seats', '29.1 % 72 seats', '8.8 % 17 seats', '4.4 % 5 seats', '21.5 %'], ['october 6 , 1991', 'exit poll - rtp1 universidade católica', '48.0 % - 51.9 %', '28.5 % - 31.5 %', '7.5 % - 10.0 %', '4.5 % - 5.5 %', '19.5 % - 20.4 %'], ['october 6 , 1991', 'exit poll - tsf... |
1963 vfl season | https://en.wikipedia.org/wiki/1963_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10783853-8.html.csv | comparative | richmond had a higher scoring game than collingwood . | {'row_1': '1', 'row_2': '2', 'col': '4', 'col_other': '3', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'away team', 'richmond'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose away team record fuzzily matches to richmond .', 'tostr': 'filter_eq { all_rows ; away team ; richmond }'}, 'away team score'], '... | greater { hop { filter_eq { all_rows ; away team ; richmond } ; away team score } ; hop { filter_eq { all_rows ; away team ; collingwood } ; away team score } } = true | select the rows whose away team record fuzzily matches to richmond . take the away team score record of this row . select the rows whose away team record fuzzily matches to collingwood . take the away team score record of this row . the first record is greater than the second record . | 5 | 5 | {'greater_4': 4, 'result_5': 5, 'str_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'away team_7': 7, 'richmond_8': 8, 'away team score_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'away team_11': 11, 'collingwood_12': 12, 'away team score_13': 13} | {'greater_4': 'greater', 'result_5': 'true', 'str_hop_2': 'str_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'away team_7': 'away team', 'richmond_8': 'richmond', 'away team score_9': 'away team score', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'away te... | {'greater_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'away team_7': [0], 'richmond_8': [0], 'away team score_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'away team_11': [1], 'collingwood_12': [1], 'away team score_13': [3]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['essendon', '13.11 ( 89 )', 'richmond', '7.5 ( 47 )', 'windy hill', '21200', '8 june 1963'], ['carlton', '6.8 ( 44 )', 'collingwood', '6.10 ( 46 )', 'princes park', '38698', '8 june 1963'], ['st kilda', '8.13 ( 61 )', 'hawthorn', '9.11 ( 65 )', 'junction oval', '34900', '8 june 1963'], ['footscray', '6.16 ( 52 )', 's... |
fortune global 500 | https://en.wikipedia.org/wiki/Fortune_Global_500 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17581425-1.html.csv | ordinal | walmart is 2nd on the fortune global 500 list with a revenue of 469.2 billion usd . | {'scope': 'all', 'row': '2', 'col': '5', 'order': '2', 'col_other': '2', 'max_or_min': 'max_to_min', 'value_mentioned': 'yes', 'subset': None} | {'func': 'and', 'args': [{'func': 'eq', 'args': [{'func': 'nth_max', 'args': ['all_rows', 'revenue in usd', '2'], 'result': '469.2 billion', 'ind': 0, 'tostr': 'nth_max { all_rows ; revenue in usd ; 2 }', 'tointer': 'the 2nd maximum revenue in usd record of all rows is 469.2 billion .'}, '469.2 billion'], 'result': Tru... | and { eq { nth_max { all_rows ; revenue in usd ; 2 } ; 469.2 billion } ; eq { hop { nth_argmax { all_rows ; revenue in usd ; 2 } ; company } ; walmart } } = true | the 2nd maximum revenue in usd record of all rows is 469.2 billion . the company record of the row with 2nd maximum revenue in usd record is walmart . | 6 | 6 | {'and_5': 5, 'result_6': 6, 'eq_1': 1, 'nth_max_0': 0, 'all_rows_7': 7, 'revenue in usd_8': 8, '2_9': 9, '469.2 billion_10': 10, 'str_eq_4': 4, 'str_hop_3': 3, 'nth_argmax_2': 2, 'all_rows_11': 11, 'revenue in usd_12': 12, '2_13': 13, 'company_14': 14, 'walmart_15': 15} | {'and_5': 'and', 'result_6': 'true', 'eq_1': 'eq', 'nth_max_0': 'nth_max', 'all_rows_7': 'all_rows', 'revenue in usd_8': 'revenue in usd', '2_9': '2', '469.2 billion_10': '469.2 billion', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'nth_argmax_2': 'nth_argmax', 'all_rows_11': 'all_rows', 'revenue in usd_12': 'revenue... | {'and_5': [6], 'result_6': [], 'eq_1': [5], 'nth_max_0': [1], 'all_rows_7': [0], 'revenue in usd_8': [0], '2_9': [0], '469.2 billion_10': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'nth_argmax_2': [3], 'all_rows_11': [2], 'revenue in usd_12': [2], '2_13': [2], 'company_14': [3], 'walmart_15': [4]} | ['rank', 'company', 'country', 'industry', 'revenue in usd'] | [['1', 'royal dutch shell', 'netherlands', 'petroleum', '481.7 billion'], ['2', 'walmart', 'united states', 'retail', '469.2 billion'], ['3', 'exxonmobil', 'united states', 'petroleum', '449.9 billion'], ['4', 'sinopec', 'china', 'petroleum', '428.2 billion'], ['5', 'china national petroleum corporation', 'china', 'pet... |
sandra roma | https://en.wikipedia.org/wiki/Sandra_Roma | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14495322-6.html.csv | count | among the itf finals that sandra roma won , 4 of them were on clay surface . | {'scope': 'subset', 'criterion': 'equal', 'value': 'clay', 'result': '4', 'col': '4', 'subset': {'col': '1', 'criterion': 'equal', 'value': 'winner'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'outcome', 'winner'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; outcome ; winner }', 'tointer': 'select the rows whose outcome record fuzzily matches to winner .'}, 'surf... | eq { count { filter_eq { filter_eq { all_rows ; outcome ; winner } ; surface ; clay } } ; 4 } = true | select the rows whose outcome record fuzzily matches to winner . among these rows , select the rows whose surface record fuzzily matches to clay . the number of such rows is 4 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'count_2': 2, 'filter_str_eq_1': 1, 'filter_str_eq_0': 0, 'all_rows_5': 5, 'outcome_6': 6, 'winner_7': 7, 'surface_8': 8, 'clay_9': 9, '4_10': 10} | {'eq_3': 'eq', 'result_4': 'true', 'count_2': 'count', 'filter_str_eq_1': 'filter_str_eq', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_5': 'all_rows', 'outcome_6': 'outcome', 'winner_7': 'winner', 'surface_8': 'surface', 'clay_9': 'clay', '4_10': '4'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_str_eq_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'outcome_6': [0], 'winner_7': [0], 'surface_8': [1], 'clay_9': [1], '4_10': [3]} | ['outcome', 'date', 'tournament', 'surface', 'partner', 'opponents', 'score'] | [['runner - up', '19 may 2009', 'antalya , turkey', 'clay', 'julia klackenberg', 'amanda carreras valentina sulpizio', '0 - 6 , 3 - 6'], ['runner - up', '22 june 2009', 'kristinehamn , sweden', 'clay', 'sofia arvidsson', 'hanne skak jensen johanna larsson', '6 - 7 ( 5 - 7 ) , 2 - 6'], ['winner', '29 june 2009', 'ystad ... |
1971 isle of man tt | https://en.wikipedia.org/wiki/1971_Isle_of_Man_TT | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10638654-3.html.csv | count | 9 riders in the 1971 isle of man tt were from the united kingdom . | {'scope': 'all', 'criterion': 'equal', 'value': 'united kingdom', 'result': '9', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'country', 'united kingdom'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose country record fuzzily matches to united kingdom .', 'tostr': 'filter_eq { all_rows ; country ; united kingdom }'}], 'result': '9', ... | eq { count { filter_eq { all_rows ; country ; united kingdom } } ; 9 } = true | select the rows whose country record fuzzily matches to united kingdom . the number of such rows is 9 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'country_5': 5, 'united kingdom_6': 6, '9_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'country_5': 'country', 'united kingdom_6': 'united kingdom', '9_7': '9'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'country_5': [0], 'united kingdom_6': [0], '9_7': [2]} | ['place', 'rider', 'country', 'machine', 'speed', 'time', 'points'] | [['1', 'tony jefferies', 'united kingdom', 'yamsel', '89.81 mph', '2:05.48.6', '15'], ['2', 'gordon pantall', 'united kingdom', 'yamaha', '89.55 mph', '2:06.25.0', '12'], ['3', 'bill smith', 'united kingdom', 'honda', '89.81 mph', '2:07.40.8', '10'], ['4', 'john williams', 'united kingdom', 'ajs', '88.94 mph', '2:07.17... |
1984 grand prix ( tennis ) | https://en.wikipedia.org/wiki/1984_Grand_Prix_%28tennis%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-29295463-9.html.csv | majority | most of the matches for tennis 's 1984 grand prix took place in ohio . | {'scope': 'all', 'col': '2', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'ohio', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'tournament', 'ohio'], 'result': True, 'ind': 0, 'tointer': 'for the tournament records of all rows , most of them fuzzily match to ohio .', 'tostr': 'most_eq { all_rows ; tournament ; ohio } = true'} | most_eq { all_rows ; tournament ; ohio } = true | for the tournament records of all rows , most of them fuzzily match to ohio . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'tournament_3': 3, 'ohio_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'tournament_3': 'tournament', 'ohio_4': 'ohio'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'tournament_3': [0], 'ohio_4': [0]} | ['week of', 'tournament', 'champion', 'runner - up', 'semifinalists', 'quarterfinalists'] | [['6 august', 'cleveland , ohio , usa hard', 'terry moor 3 - 6 , 7 - 6 , 6 - 2', 'marty davis', 'matt mitchell jeff klaparda', 'david dowlen david pate greg holmes mike de palmer'], ['6 august', 'cleveland , ohio , usa hard', 'francisco gonzález matt mitchell 7 - 6 , 7 - 5', 'scott davis chris dunk', 'matt mitchell jef... |
soo line locomotives | https://en.wikipedia.org/wiki/Soo_Line_locomotives | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17248696-3.html.csv | aggregation | from 1882 to 1887 , schenectady manufactured a total of 27 locomotives for soo line locomotives . | {'scope': 'subset', 'col': '5', 'type': 'sum', 'result': '27', 'subset': {'col': '3', 'criterion': 'equal', 'value': 'schenectady'}} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'manufacturer', 'schenectady'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; manufacturer ; schenectady }', 'tointer': 'select the rows whose manufacturer record fuzzily matches to schenectady .'}, 'quant... | round_eq { sum { filter_eq { all_rows ; manufacturer ; schenectady } ; quantity made } ; 27 } = true | select the rows whose manufacturer record fuzzily matches to schenectady . the sum of the quantity made record of these rows is 27 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'sum_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'manufacturer_5': 5, 'schenectady_6': 6, 'quantity made_7': 7, '27_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'sum_1': 'sum', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'manufacturer_5': 'manufacturer', 'schenectady_6': 'schenectady', 'quantity made_7': 'quantity made', '27_8': '27'} | {'eq_2': [3], 'result_3': [], 'sum_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'manufacturer_5': [0], 'schenectady_6': [0], 'quantity made_7': [1], '27_8': [2]} | ['class', 'wheel arrangement', 'manufacturer', 'year made', 'quantity made', 'quantity preserved'] | [['4 - 4 - 0 - oooo - american', '4 - 4 - 0 - oooo - american', '4 - 4 - 0 - oooo - american', '4 - 4 - 0 - oooo - american', '4 - 4 - 0 - oooo - american', '4 - 4 - 0 - oooo - american'], ['c', '4 - 4 - 0', 'baldwin', '1886 - 1887', '6', '0'], ['c - 1', '4 - 4 - 0', 'new jersey', '1857', '1', '0'], ['c - 1', '4 - 4 - ... |
1979 world figure skating championships | https://en.wikipedia.org/wiki/1979_World_Figure_Skating_Championships | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11312764-5.html.csv | ordinal | at the 1979 world figure skating championships , the 2nd highest score went to marina cherkasova / sergei shakhrai . | {'row': '2', 'col': '4', 'order': '2', 'col_other': '2', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'points', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; points ; 2 }'}, 'name'], 'result': 'marina cherkasova / sergei shakhrai', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; points ; 2 } ; name... | eq { hop { nth_argmax { all_rows ; points ; 2 } ; name } ; marina cherkasova / sergei shakhrai } = true | select the row whose points record of all rows is 2nd maximum . the name record of this row is marina cherkasova / sergei shakhrai . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'points_5': 5, '2_6': 6, 'name_7': 7, 'marina cherkasova / sergei shakhrai_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmax_0': 'nth_argmax', 'all_rows_4': 'all_rows', 'points_5': 'points', '2_6': '2', 'name_7': 'name', 'marina cherkasova / sergei shakhrai_8': 'marina cherkasova / sergei shakhrai'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'points_5': [0], '2_6': [0], 'name_7': [1], 'marina cherkasova / sergei shakhrai_8': [2]} | ['rank', 'name', 'nation', 'points', 'places'] | [['1', 'tai babilonia / randy gardner', 'united states', '144.54', '12'], ['2', 'marina cherkasova / sergei shakhrai', 'soviet union', '142.22', '16'], ['3', 'sabine baeãÿ / tassilo thierbach', 'east germany', '137.74', '32'], ['4', 'irina vorobieva / igor lisovski', 'soviet union', '138.72', '33'], ['5', 'marina pesto... |
cycling at the 2008 summer olympics - men 's bmx | https://en.wikipedia.org/wiki/Cycling_at_the_2008_Summer_Olympics_%E2%80%93_Men%27s_BMX | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18603914-7.html.csv | superlative | artūrs matisons took the most time to complete the second run . | {'scope': 'all', 'col_superlative': '4', 'row_superlative': '7', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '2', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', '2nd run'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; 2nd run }'}, 'name'], 'result': 'artūrs matisons ( lat )', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; 2nd run } ; name }'}, 'artūrs matisons ( lat )'], ... | eq { hop { argmax { all_rows ; 2nd run } ; name } ; artūrs matisons ( lat ) } = true | select the row whose 2nd run record of all rows is maximum . the name record of this row is artūrs matisons ( lat ) . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, '2nd run_5': 5, 'name_6': 6, 'artūrs matisons ( lat )_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', '2nd run_5': '2nd run', 'name_6': 'name', 'artūrs matisons ( lat )_7': 'artūrs matisons ( lat )'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], '2nd run_5': [0], 'name_6': [1], 'artūrs matisons ( lat )_7': [2]} | ['rank', 'name', '1st run', '2nd run', '3rd run', 'total'] | [['1', 'mike day ( usa )', '36.470 ( 1 )', '36.219 ( 1 )', '37.461 ( 3 )', '5'], ['2', 'sifiso nhlapo ( rsa )', '37.197 ( 3 )', '36.597 ( 3 )', '36.457 ( 2 )', '8'], ['3', 'donny robinson ( usa )', '36.832 ( 2 )', '36.462 ( 2 )', '56.249 ( 6 )', '10'], ['4', 'andrés jiménez caicedo ( col )', '37.363 ( 4 )', '36.862 ( 4... |
2008 european judo championships | https://en.wikipedia.org/wiki/2008_European_Judo_Championships | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16880519-3.html.csv | count | in the 2008 european judo championships , for teams that won at least 1 gold medal , there were 3 nations that won 2 silver medals . | {'scope': 'subset', 'criterion': 'equal', 'value': '2', 'result': '3', 'col': '4', 'subset': {'col': '3', 'criterion': 'greater_than_eq', 'value': '1'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_eq', 'args': [{'func': 'filter_greater_eq', 'args': ['all_rows', 'gold', '1'], 'result': None, 'ind': 0, 'tostr': 'filter_greater_eq { all_rows ; gold ; 1 }', 'tointer': 'select the rows whose gold record is greater than or equal to 1 .'}, 'silver', '2... | eq { count { filter_eq { filter_greater_eq { all_rows ; gold ; 1 } ; silver ; 2 } } ; 3 } = true | select the rows whose gold record is greater than or equal to 1 . among these rows , select the rows whose silver record is equal to 2 . the number of such rows is 3 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'count_2': 2, 'filter_eq_1': 1, 'filter_greater_eq_0': 0, 'all_rows_5': 5, 'gold_6': 6, '1_7': 7, 'silver_8': 8, '2_9': 9, '3_10': 10} | {'eq_3': 'eq', 'result_4': 'true', 'count_2': 'count', 'filter_eq_1': 'filter_eq', 'filter_greater_eq_0': 'filter_greater_eq', 'all_rows_5': 'all_rows', 'gold_6': 'gold', '1_7': '1', 'silver_8': 'silver', '2_9': '2', '3_10': '3'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_eq_1': [2], 'filter_greater_eq_0': [1], 'all_rows_5': [0], 'gold_6': [0], '1_7': [0], 'silver_8': [1], '2_9': [1], '3_10': [3]} | ['rank', 'nation', 'gold', 'silver', 'bronze', 'total'] | [['1', 'netherlands', '2', '2', '0', '4'], ['2', 'france', '2', '1', '3', '6'], ['3', 'austria', '2', '0', '0', '2'], ['4', 'spain', '1', '3', '1', '5'], ['5', 'germany', '1', '2', '3', '6'], ['6', 'russia', '1', '2', '1', '4'], ['7', 'italy', '1', '1', '1', '3'], ['8 =', 'georgia', '1', '0', '3', '4'], ['8 =', 'portug... |
nero wolfe ( 1981 tv series ) | https://en.wikipedia.org/wiki/Nero_Wolfe_%281981_TV_series%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17189526-1.html.csv | count | edward m abroms directed a total of 3 episodes of nero wolfe . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'edward m abroms', 'result': '3', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'director', 'edward m abroms'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose director record fuzzily matches to edward m abroms .', 'tostr': 'filter_eq { all_rows ; director ; edward m abroms }'}], 'result':... | eq { count { filter_eq { all_rows ; director ; edward m abroms } } ; 3 } = true | select the rows whose director record fuzzily matches to edward m abroms . the number of such rows is 3 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'director_5': 5, 'edward m abroms_6': 6, '3_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'director_5': 'director', 'edward m abroms_6': 'edward m abroms', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'director_5': [0], 'edward m abroms_6': [0], '3_7': [2]} | ['title', 'season', 'director', 'teleplay', 'first broadcast'] | [['the golden spiders', '1.1', "michael o'herlihy", 'wallace ware + peter nasco', 'january 16 , 1981'], ['death on the doorstep', '1.2', 'george mccowan', 'stephen downing', 'january 23 , 1981'], ['before i die', '1.3', 'edward m abroms', 'alfred hayes', 'january 30 , 1981'], ['wolfe at the door', '1.4', 'herbert hirsc... |
metro conference | https://en.wikipedia.org/wiki/Metro_Conference | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-2293402-2.html.csv | unique | the university of louisville is the only institution founded in the 1700s . | {'scope': 'all', 'row': '3', 'col': '4', 'col_other': '1', 'criterion': 'less_than', 'value': '1800', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_less', 'args': ['all_rows', 'founded', '1800'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose founded record is less than 1800 .', 'tostr': 'filter_less { all_rows ; founded ; 1800 }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_l... | and { only { filter_less { all_rows ; founded ; 1800 } } ; eq { hop { filter_less { all_rows ; founded ; 1800 } ; institution } ; university of louisville } } = true | select the rows whose founded record is less than 1800 . there is only one such row in the table . the institution record of this unqiue row is university of louisville . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_less_0': 0, 'all_rows_6': 6, 'founded_7': 7, '1800_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'institution_9': 9, 'university of louisville_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_less_0': 'filter_less', 'all_rows_6': 'all_rows', 'founded_7': 'founded', '1800_8': '1800', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'institution_9': 'institution', 'university of louisville_10': 'university of louisville'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_less_0': [1, 2], 'all_rows_6': [0], 'founded_7': [0], '1800_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'institution_9': [2], 'university of louisville_10': [3]} | ['institution', 'nickname', 'location', 'founded', 'type', 'enrollment', 'joined', 'left'] | [['university of cincinnati', 'bearcats', 'cincinnati , ohio', '1819', 'public', '41357', '1975', '1991'], ['georgia institute of technology', 'yellow jackets', 'atlanta , georgia', '1885', 'public', '21557', '1975', '1978'], ['university of louisville', 'cardinals', 'louisville , kentucky', '1798', 'public', '22249', ... |
1968 - 69 philadelphia flyers season | https://en.wikipedia.org/wiki/1968%E2%80%9369_Philadelphia_Flyers_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14191335-4.html.csv | majority | all games of the 1968 - 69 philadelphia flyers ' season were scheduled for the month of december . | {'scope': 'all', 'col': '1', 'most_or_all': 'all', 'criterion': 'fuzzily_match', 'value': 'december', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'date', 'december'], 'result': True, 'ind': 0, 'tointer': 'for the date records of all rows , all of them fuzzily match to december .', 'tostr': 'all_eq { all_rows ; date ; december } = true'} | all_eq { all_rows ; date ; december } = true | for the date records of all rows , all of them fuzzily match to december . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'date_3': 3, 'december_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'date_3': 'date', 'december_4': 'december'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'date_3': [0], 'december_4': [0]} | ['date', 'visitor', 'score', 'home', 'decision', 'attendance', 'record'] | [['december 1', 'philadelphia', '3 - 3', 'detroit', 'parent', '13039', '6 - 13 - 3'], ['december 4', 'philadelphia', '1 - 3', 'los angeles', 'parent', '5847', '6 - 14 - 3'], ['december 6', 'philadelphia', '0 - 4', 'oakland', 'favell', '3166', '6 - 15 - 3'], ['december 8', 'st louis', '4 - 4', 'philadelphia', 'parent', ... |
viktor leonenko | https://en.wikipedia.org/wiki/Viktor_Leonenko | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11327303-2.html.csv | ordinal | the game played on 18 may 1993 was the first game that viktor leonenko scored an international goal in . | {'row': '1', 'col': '1', 'order': '1', 'col_other': 'n/a', 'max_or_min': 'min_to_max', 'value_mentioned': 'yes', 'scope': 'all', 'subset': None} | {'func': 'eq', 'args': [{'func': 'nth_min', 'args': ['all_rows', 'date', '1'], 'result': '18 may 1993', 'ind': 0, 'tostr': 'nth_min { all_rows ; date ; 1 }', 'tointer': 'the 1st minimum date record of all rows is 18 may 1993 .'}, '18 may 1993'], 'result': True, 'ind': 1, 'tostr': 'eq { nth_min { all_rows ; date ; 1 } ;... | eq { nth_min { all_rows ; date ; 1 } ; 18 may 1993 } = true | the 1st minimum date record of all rows is 18 may 1993 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'nth_min_0': 0, 'all_rows_3': 3, 'date_4': 4, '1_5': 5, '18 may 1993_6': 6} | {'eq_1': 'eq', 'result_2': 'true', 'nth_min_0': 'nth_min', 'all_rows_3': 'all_rows', 'date_4': 'date', '1_5': '1', '18 may 1993_6': '18 may 1993'} | {'eq_1': [2], 'result_2': [], 'nth_min_0': [1], 'all_rows_3': [0], 'date_4': [0], '1_5': [0], '18 may 1993_6': [1]} | ['date', 'venue', 'score', 'result', 'competition'] | [['18 may 1993', 'vilnius , lithuania', '1 - 1', '1 - 2', 'friendly'], ['16 october 1993', 'high point , united states', '1 - 1', '1 - 2', 'friendly'], ['16 october 1993', 'high point , united states', '1 - 2', '1 - 2', 'friendly'], ['25 may 1994', 'kyiv , ukraine', '1 - 1', '3 - 1', 'friendly'], ['13 august 1996', 'ky... |
1992 in spaceflight | https://en.wikipedia.org/wiki/1992_in_spaceflight | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17621896-3.html.csv | superlative | the most time spent in space in 1992 was on may 13th . | {'scope': 'all', 'col_superlative': '2', 'row_superlative': '4', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '1', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'duration'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; duration }'}, 'start date / time'], 'result': '13 may 21:17', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; duration } ; start date / time }'}, '13 may 21... | eq { hop { argmax { all_rows ; duration } ; start date / time } ; 13 may 21:17 } = true | select the row whose duration record of all rows is maximum . the start date / time record of this row is 13 may 21:17 . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'duration_5': 5, 'start date / time_6': 6, '13 may 21:17_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'duration_5': 'duration', 'start date / time_6': 'start date / time', '13 may 21:17_7': '13 may 21:17'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'duration_5': [0], 'start date / time_6': [1], '13 may 21:17_7': [2]} | ['start date / time', 'duration', 'end time', 'spacecraft', 'crew'] | [['20 february 20:09', '4 hours 12 minutes', '21 february 00:21', 'mir eo - 10 kvant - 2', 'aleksandr volkov sergei krikalyov'], ['10 may 20:40', '3 hours 43 minutes', '11 may 00:23', 'sts - 49 endeavour', 'pierre j thuot richard hieb'], ['11 may 21:05', '5 hours 30 minutes', '12 may 02:35', 'sts - 49 endeavour', 'pier... |
1901 michigan wolverines football team | https://en.wikipedia.org/wiki/1901_Michigan_Wolverines_football_team | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14342210-14.html.csv | superlative | bruce shorts had the most extra points 1 point in the 1901 michigan wolverines football team . | {'scope': 'all', 'col_superlative': '3', 'row_superlative': '1', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '1', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'extra points 1 point'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; extra points 1 point }'}, 'player'], 'result': 'bruce shorts', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; extra points 1 point } ; player }... | eq { hop { argmax { all_rows ; extra points 1 point } ; player } ; bruce shorts } = true | select the row whose extra points 1 point record of all rows is maximum . the player record of this row is bruce shorts . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'extra points 1 point_5': 5, 'player_6': 6, 'bruce shorts_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'extra points 1 point_5': 'extra points 1 point', 'player_6': 'player', 'bruce shorts_7': 'bruce shorts'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'extra points 1 point_5': [0], 'player_6': [1], 'bruce shorts_7': [2]} | ['player', 'touchdowns ( 5 points )', 'extra points 1 point', 'field goals ( 5 points )', 'total points'] | [['bruce shorts', '13', '53', '1', '123'], ['willie heston', '20', '0', '0', '100'], ['neil snow', '19', '0', '0', '95'], ['albert herrnstein', '12', '0', '0', '60'], ['everett sweeley', '7', '2', '1', '42'], ['hugh white', '6', '0', '0', '30'], ['walter shaw', '4', '7', '0', '27'], ['arthur redner', '5', '0', '0', '25... |
1989 - 90 segunda división | https://en.wikipedia.org/wiki/1989%E2%80%9390_Segunda_Divisi%C3%B3n | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12107080-2.html.csv | aggregation | in the ' 89 - '90 segunda football division , teams scored an average total of 38.5 goals . | {'scope': 'all', 'col': '8', 'type': 'average', 'result': '38.5', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'goals for'], 'result': '38.5', 'ind': 0, 'tostr': 'avg { all_rows ; goals for }'}, '38.5'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; goals for } ; 38.5 } = true', 'tointer': 'the average of the goals for record of all rows is 38.... | round_eq { avg { all_rows ; goals for } ; 38.5 } = true | the average of the goals for record of all rows is 38.5 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'goals for_4': 4, '38.5_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'goals for_4': 'goals for', '38.5_5': '38.5'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'goals for_4': [0], '38.5_5': [1]} | ['position', 'club', 'played', 'points', 'wins', 'draws', 'losses', 'goals for', 'goals against', 'goal difference'] | [['1', 'real burgos', '38', '50 + 12', '18', '14', '6', '53', '24', '+ 29'], ['2', 'real betis', '38', '47 + 9', '16', '15', '7', '44', '29', '+ 15'], ['3', 'bilbao athletic 1', '38', '45 + 7', '15', '15', '8', '50', '36', '+ 14'], ['4', 'deportivo de la coruña', '38', '44 + 6', '19', '6', '13', '45', '38', '+ 7'], ['5... |
1998 icc knockout trophy | https://en.wikipedia.org/wiki/1998_ICC_KnockOut_Trophy | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-11950720-8.html.csv | majority | in the 1998 icc knockout , most of the players born after 1970 batted right hand . | {'scope': 'subset', 'col': '4', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'right hand bat', 'subset': {'col': '3', 'criterion': 'greater_than_eq', 'value': '1 january 1971'}} | {'func': 'most_str_eq', 'args': [{'func': 'filter_greater_eq', 'args': ['all_rows', 'date of birth', '1 january 1971'], 'result': None, 'ind': 0, 'tostr': 'filter_greater_eq { all_rows ; date of birth ; 1 january 1971 }', 'tointer': 'select the rows whose date of birth record is greater than or equal to 1 january 1971 ... | most_eq { filter_greater_eq { all_rows ; date of birth ; 1 january 1971 } ; batting style ; right hand bat } = true | select the rows whose date of birth record is greater than or equal to 1 january 1971 . for the batting style records of these rows , most of them fuzzily match to right hand bat . | 2 | 2 | {'most_str_eq_1': 1, 'result_2': 2, 'filter_greater_eq_0': 0, 'all_rows_3': 3, 'date of birth_4': 4, '1 january 1971_5': 5, 'batting style_6': 6, 'right hand bat_7': 7} | {'most_str_eq_1': 'most_str_eq', 'result_2': 'true', 'filter_greater_eq_0': 'filter_greater_eq', 'all_rows_3': 'all_rows', 'date of birth_4': 'date of birth', '1 january 1971_5': '1 january 1971', 'batting style_6': 'batting style', 'right hand bat_7': 'right hand bat'} | {'most_str_eq_1': [2], 'result_2': [], 'filter_greater_eq_0': [1], 'all_rows_3': [0], 'date of birth_4': [0], '1 january 1971_5': [0], 'batting style_6': [1], 'right hand bat_7': [1]} | ['no', 'player', 'date of birth', 'batting style', 'bowling style', 'first class team'] | [['59', 'brian lara ( captain )', '2 may 1969', 'left hand bat', 'right arm leg break googly', 'trinidad and tobago'], ['55', 'keith arthurton', '21 february 1965', 'left hand bat', 'left arm orthodox spin', 'leeward islands'], ['66', 'shivnarine chanderpaul', '16 august 1974', 'left hand bat', 'right arm leg break', '... |
1974 icf canoe sprint world championships | https://en.wikipedia.org/wiki/1974_ICF_Canoe_Sprint_World_Championships | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18607938-4.html.csv | comparative | in the 1974 icf canoe sprint world championships romania received more bronze medals than the soviet union . | {'row_1': '2', 'row_2': '1', 'col': '5', 'col_other': '2', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'nation', 'romania'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose nation record fuzzily matches to romania .', 'tostr': 'filter_eq { all_rows ; nation ; romania }'}, 'bronze'], 'result': None, 'ind':... | greater { hop { filter_eq { all_rows ; nation ; romania } ; bronze } ; hop { filter_eq { all_rows ; nation ; soviet union } ; bronze } } = true | select the rows whose nation record fuzzily matches to romania . take the bronze record of this row . select the rows whose nation record fuzzily matches to soviet union . take the bronze record of this row . the first record is greater than the second record . | 5 | 5 | {'greater_4': 4, 'result_5': 5, 'num_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'nation_7': 7, 'romania_8': 8, 'bronze_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'nation_11': 11, 'soviet union_12': 12, 'bronze_13': 13} | {'greater_4': 'greater', 'result_5': 'true', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'nation_7': 'nation', 'romania_8': 'romania', 'bronze_9': 'bronze', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'nation_11': 'nation', 'soviet uni... | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'nation_7': [0], 'romania_8': [0], 'bronze_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'nation_11': [1], 'soviet union_12': [1], 'bronze_13': [3]} | ['rank', 'nation', 'gold', 'silver', 'bronze', 'total'] | [['1', 'soviet union', '6', '7', '1', '14'], ['2', 'romania', '3', '2', '6', '11'], ['3', 'hungary', '3', '4', '3', '10'], ['4', 'east germany', '4', '2', '2', '8'], ['5', 'poland', '1', '2', '3', '6'], ['6', 'italy', '1', '0', '1', '2'], ['7', 'belgium', '0', '1', '0', '1'], ['8', 'czechoslovakia', '0', '0', '1', '1']... |
1992 - 93 toronto maple leafs season | https://en.wikipedia.org/wiki/1992%E2%80%9393_Toronto_Maple_Leafs_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-13913477-9.html.csv | comparative | the toronto maple leafs had a game against the philadelphia visitors earlier than st louis in the 1992 - 93 season . | {'row_1': '4', 'row_2': '6', 'col': '2', 'col_other': '3', 'relation': 'less', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'less', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'visitor', 'philadelphia'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose visitor record fuzzily matches to philadelphia .', 'tostr': 'filter_eq { all_rows ; visitor ; philadelphia }'}, 'date'], 'result':... | less { hop { filter_eq { all_rows ; visitor ; philadelphia } ; date } ; hop { filter_eq { all_rows ; visitor ; st louis } ; date } } = true | select the rows whose visitor record fuzzily matches to philadelphia . take the date record of this row . select the rows whose visitor record fuzzily matches to st louis . take the date record of this row . the first record is less than the second record . | 5 | 5 | {'less_4': 4, 'result_5': 5, 'str_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'visitor_7': 7, 'philadelphia_8': 8, 'date_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'visitor_11': 11, 'st louis_12': 12, 'date_13': 13} | {'less_4': 'less', 'result_5': 'true', 'str_hop_2': 'str_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'visitor_7': 'visitor', 'philadelphia_8': 'philadelphia', 'date_9': 'date', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'visitor_11': 'visitor', 'st lou... | {'less_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'visitor_7': [0], 'philadelphia_8': [0], 'date_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'visitor_11': [1], 'st louis_12': [1], 'date_13': [3]} | ['game', 'date', 'visitor', 'score', 'home', 'record', 'points'] | [['78', 'april 3', 'new jersey', '1 - 0', 'toronto', '42 - 25 - 11', '95'], ['79', 'april 4', 'toronto', '0 - 4', 'philadelphia', '42 - 26 - 11', '95'], ['80', 'april 8', 'toronto', '3 - 5', 'winnipeg', '42 - 27 - 11', '95'], ['81', 'april 10', 'philadelphia', '0 - 4', 'toronto', '42 - 28 - 11', '95'], ['82', 'april 11... |
mercedes - benz r230 | https://en.wikipedia.org/wiki/Mercedes-Benz_R230 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1867831-2.html.csv | aggregation | on average , the various mercedes - benz r230 models have peak power at around 5500 rpm . | {'scope': 'all', 'col': '4', 'type': 'average', 'result': '5500', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'power rpm'], 'result': '5500', 'ind': 0, 'tostr': 'avg { all_rows ; power rpm }'}, '5500'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; power rpm } ; 5500 } = true', 'tointer': 'the average of the power rpm record of all rows is 550... | round_eq { avg { all_rows ; power rpm } ; 5500 } = true | the average of the power rpm record of all rows is 5500 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'power rpm_4': 4, '5500_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'power rpm_4': 'power rpm', '5500_5': '5500'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'power rpm_4': [0], '5500_5': [1]} | ['model', 'years', 'type / code', 'power rpm', 'torque rpm'] | [['sl 350', '2006 - 2008', 'cubic centimetres ( cuin ) v6 ( m272 )', '6000', '2400 - 5000'], ['sl 500 , sl 550', '2006 - 2008', 'cubic centimetres ( cuin ) v8 ( m273 )', '6000', '2800 - 4800'], ['sl 55 amg', '2006 - 2008', 'cubic centimetres ( cuin ) v8 supercharged ( m113 )', '6100', '2600 - 4000'], ['sl 600', '2006 -... |
wobbe index | https://en.wikipedia.org/wiki/Wobbe_index | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1868929-1.html.csv | ordinal | the fuel that had the second highest upper index kcal/nm was iso-butane . | {'row': '9', 'col': '2', 'order': '2', 'col_other': '1', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'upper index kcal / nm 3', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; upper index kcal / nm 3 ; 2 }'}, 'fuel gas'], 'result': 'iso - butane', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; uppe... | eq { hop { nth_argmax { all_rows ; upper index kcal / nm 3 ; 2 } ; fuel gas } ; iso - butane } = true | select the row whose upper index kcal / nm 3 record of all rows is 2nd maximum . the fuel gas record of this row is iso - butane . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'upper index kcal / nm 3_5': 5, '2_6': 6, 'fuel gas_7': 7, 'iso - butane_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmax_0': 'nth_argmax', 'all_rows_4': 'all_rows', 'upper index kcal / nm 3_5': 'upper index kcal / nm 3', '2_6': '2', 'fuel gas_7': 'fuel gas', 'iso - butane_8': 'iso - butane'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'upper index kcal / nm 3_5': [0], '2_6': [0], 'fuel gas_7': [1], 'iso - butane_8': [2]} | ['fuel gas', 'upper index kcal / nm 3', 'lower index kcal / nm 3', 'upper index mj / nm 3', 'lower index mj / nm 3'] | [['hydrogen', '11528', '9715', '48.23', '40.65'], ['methane', '12735', '11452', '53.28', '47.91'], ['ethane', '16298', '14931', '68.19', '62.47'], ['ethylene', '15253', '14344', '63.82', '60.01'], ['natural gas', '12837', '11597', '53.71', '48.52'], ['propane', '19376', '17817', '81.07', '74.54'], ['propylene', '18413'... |
united states house of representatives elections , 1948 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1948 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1342218-5.html.csv | comparative | of the incumbents in the 1948 election for the us house of representatives , wilbur mills was first elected 6 years before james william trimble . | {'row_1': '2', 'row_2': '3', 'col': '4', 'col_other': '2', 'relation': 'diff', 'record_mentioned': 'no', 'diff_result': {'diff_value': '6 years', 'bigger': 'row2'}} | {'func': 'eq', 'args': [{'func': 'diff', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'incumbent', 'wilbur mills'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose incumbent record fuzzily matches to wilbur mills .', 'tostr': 'filter_eq { all_rows ; incumbent ; wilbur... | eq { diff { hop { filter_eq { all_rows ; incumbent ; wilbur mills } ; first elected } ; hop { filter_eq { all_rows ; incumbent ; james william trimble } ; first elected } } ; -6 years } = true | select the rows whose incumbent record fuzzily matches to wilbur mills . take the first elected record of this row . select the rows whose incumbent record fuzzily matches to james william trimble . take the first elected record of this row . the second record is 6 years larger than the first record . | 6 | 6 | {'str_eq_5': 5, 'result_6': 6, 'diff_4': 4, 'num_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_7': 7, 'incumbent_8': 8, 'wilbur mills_9': 9, 'first elected_10': 10, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_11': 11, 'incumbent_12': 12, 'james william trimble_13': 13, 'first elected_14': 14, '-6 years_15': 15} | {'str_eq_5': 'str_eq', 'result_6': 'true', 'diff_4': 'diff', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_7': 'all_rows', 'incumbent_8': 'incumbent', 'wilbur mills_9': 'wilbur mills', 'first elected_10': 'first elected', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_11':... | {'str_eq_5': [6], 'result_6': [], 'diff_4': [5], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_7': [0], 'incumbent_8': [0], 'wilbur mills_9': [0], 'first elected_10': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_11': [1], 'incumbent_12': [1], 'james william trimble_13': [1], 'first elected_14': [3], '... | ['district', 'incumbent', 'party', 'first elected', 'result', 'candidates'] | [['arkansas 1', 'ezekiel c gathings', 'democratic', '1938', 're - elected', 'ezekiel c gathings ( d ) unopposed'], ['arkansas 2', 'wilbur mills', 'democratic', '1938', 're - elected', 'wilbur mills ( d ) unopposed'], ['arkansas 3', 'james william trimble', 'democratic', '1944', 're - elected', 'james william trimble ( ... |
turkish airlines | https://en.wikipedia.org/wiki/Turkish_Airlines | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-167925-2.html.csv | superlative | the turkish airlines flight crash on 3 march 1974 had the highest number of fatalities . | {'scope': 'all', 'col_superlative': '6', 'row_superlative': '7', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '1', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'fatalities'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; fatalities }'}, 'date'], 'result': '3 march 1974', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; fatalities } ; date }'}, '3 march 1974'], 'result': Tru... | eq { hop { argmax { all_rows ; fatalities } ; date } ; 3 march 1974 } = true | select the row whose fatalities record of all rows is maximum . the date record of this row is 3 march 1974 . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'fatalities_5': 5, 'date_6': 6, '3 march 1974_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'fatalities_5': 'fatalities', 'date_6': 'date', '3 march 1974_7': '3 march 1974'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'fatalities_5': [0], 'date_6': [1], '3 march 1974_7': [2]} | ['date', 'flight', 'aircraft', 'registration', 'location', 'fatalities'] | [['17 february 1959', 'n / a', 'vickers viscount type 793', 'tc - sev', 'london', '14'], ['23 september 1961', '100', 'fokker f27 - 100', 'tc - tay', 'ankara', '28'], ['8 march 1962', 'n / a', 'fairchild f - 27', 'tc - kop', 'adana', '11'], ['3 february 1964', 'n / a', 'douglas c - 47', 'tc - eti', 'ankara', '3'], ['2 ... |
1926 u.s. open ( golf ) | https://en.wikipedia.org/wiki/1926_U.S._Open_%28golf%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18007085-1.html.csv | aggregation | at the 1926 u.s. golf open , total money earned by players tied for 3rd place was 752 . | {'scope': 'subset', 'col': '6', 'type': 'sum', 'result': '752', 'subset': {'col': '1', 'criterion': 'equal', 'value': 't3'}} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'place', 't3'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; place ; t3 }', 'tointer': 'select the rows whose place record fuzzily matches to t3 .'}, 'money'], 'result': '752', 'ind': 1, 'tostr': 'sum { f... | round_eq { sum { filter_eq { all_rows ; place ; t3 } ; money } ; 752 } = true | select the rows whose place record fuzzily matches to t3 . the sum of the money record of these rows is 752 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'sum_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'place_5': 5, 't3_6': 6, 'money_7': 7, '752_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'sum_1': 'sum', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'place_5': 'place', 't3_6': 't3', 'money_7': 'money', '752_8': '752'} | {'eq_2': [3], 'result_3': [], 'sum_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'place_5': [0], 't3_6': [0], 'money_7': [1], '752_8': [2]} | ['place', 'player', 'country', 'score', 'to par', 'money'] | [['1', 'bobby jones ( a )', 'united states', '70 + 79 + 71 + 73 = 293', '+ 5', '0'], ['2', 'joe turnesa', 'united states', '71 + 74 + 72 + 77 = 294', '+ 6', '500'], ['t3', 'leo diegel', 'united states', '72 + 76 + 75 + 74 = 297', '+ 9', '188'], ['t3', 'johnny farrell', 'united states', '76 + 79 + 69 + 73 = 297', '+ 9',... |
2006 masters tournament | https://en.wikipedia.org/wiki/2006_Masters_Tournament | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12626983-4.html.csv | aggregation | the average score for the top 3 players at the 2006 masters tournament was 68 . | {'scope': 'subset', 'col': '4', 'type': 'average', 'result': '68', 'subset': {'col': '1', 'criterion': 'less_than_eq', 'value': '3'}} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': [{'func': 'filter_less_eq', 'args': ['all_rows', 'place', '3'], 'result': None, 'ind': 0, 'tostr': 'filter_less_eq { all_rows ; place ; 3 }', 'tointer': 'select the rows whose place record is less than or equal to 3 .'}, 'score'], 'result': '68', 'ind': 1, 'tostr': ... | round_eq { avg { filter_less_eq { all_rows ; place ; 3 } ; score } ; 68 } = true | select the rows whose place record is less than or equal to 3 . the average of the score record of these rows is 68 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'avg_1': 1, 'filter_less_eq_0': 0, 'all_rows_4': 4, 'place_5': 5, '3_6': 6, 'score_7': 7, '68_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'avg_1': 'avg', 'filter_less_eq_0': 'filter_less_eq', 'all_rows_4': 'all_rows', 'place_5': 'place', '3_6': '3', 'score_7': 'score', '68_8': '68'} | {'eq_2': [3], 'result_3': [], 'avg_1': [2], 'filter_less_eq_0': [1], 'all_rows_4': [0], 'place_5': [0], '3_6': [0], 'score_7': [1], '68_8': [2]} | ['place', 'player', 'country', 'score', 'to par'] | [['1', 'vijay singh', 'fiji', '67', '- 5'], ['2', 'rocco mediate', 'united states', '68', '- 4'], ['3', 'arron oberholser', 'united states', '69', '- 3'], ['t4', 'tim clark', 'south africa', '70', '- 2'], ['t4', 'retief goosen', 'south africa', '70', '- 2'], ['t4', 'phil mickelson', 'united states', '70', '- 2'], ['t4'... |
2010 - 11 memphis grizzlies season | https://en.wikipedia.org/wiki/2010%E2%80%9311_Memphis_Grizzlies_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-27756474-6.html.csv | majority | mike conley had the majority of high assists performances in the 2010 - 11 memphis grizzlies season . | {'scope': 'all', 'col': '7', 'most_or_all': 'most', 'criterion': 'fuzzily_match', 'value': 'mike conley', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'high assists', 'mike conley'], 'result': True, 'ind': 0, 'tointer': 'for the high assists records of all rows , most of them fuzzily match to mike conley .', 'tostr': 'most_eq { all_rows ; high assists ; mike conley } = true'} | most_eq { all_rows ; high assists ; mike conley } = true | for the high assists records of all rows , most of them fuzzily match to mike conley . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'high assists_3': 3, 'mike conley_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'high assists_3': 'high assists', 'mike conley_4': 'mike conley'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'high assists_3': [0], 'mike conley_4': [0]} | ['game', 'date', 'team', 'score', 'high points', 'high rebounds', 'high assists', 'location attendance', 'record'] | [['4', 'november 2', 'la lakers', 'l 105 - 124 ( ot )', 'rudy gay ( 30 )', 'marc gasol ( 8 )', 'mike conley ( 8 )', 'staples center 18997', '2 - 2'], ['5', 'november 3', 'golden state', 'l 109 - 115 ( ot )', 'rudy gay ( 35 )', 'marc gasol ( 8 )', 'mike conley ( 13 )', 'oracle arena 16607', '2 - 3'], ['6', 'november 5',... |
1954 vfl season | https://en.wikipedia.org/wiki/1954_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10773616-4.html.csv | aggregation | during the 1954 vfl season , the average away team score was 10.86 . | {'scope': 'all', 'col': '4', 'type': 'average', 'result': '10.86', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'away team score'], 'result': '10.86', 'ind': 0, 'tostr': 'avg { all_rows ; away team score }'}, '10.86'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; away team score } ; 10.86 } = true', 'tointer': 'the average of the away team scor... | round_eq { avg { all_rows ; away team score } ; 10.86 } = true | the average of the away team score record of all rows is 10.86 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'away team score_4': 4, '10.86_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'away team score_4': 'away team score', '10.86_5': '10.86'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'away team score_4': [0], '10.86_5': [1]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['geelong', '13.17 ( 95 )', 'st kilda', '8.5 ( 53 )', 'kardinia park', '18000', '8 may 1954'], ['collingwood', '10.17 ( 77 )', 'essendon', '9.10 ( 64 )', 'victoria park', '37000', '8 may 1954'], ['carlton', '17.21 ( 123 )', 'footscray', '20.14 ( 134 )', 'princes park', '22000', '8 may 1954'], ['south melbourne', '12.9... |
jovan kirovski | https://en.wikipedia.org/wiki/Jovan_Kirovski | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1115680-1.html.csv | majority | the majority of international goals by jovan kirovski were in friendly competition matches . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'friendly', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'competition', 'friendly'], 'result': True, 'ind': 0, 'tointer': 'for the competition records of all rows , most of them fuzzily match to friendly .', 'tostr': 'most_eq { all_rows ; competition ; friendly } = true'} | most_eq { all_rows ; competition ; friendly } = true | for the competition records of all rows , most of them fuzzily match to friendly . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'competition_3': 3, 'friendly_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'competition_3': 'competition', 'friendly_4': 'friendly'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'competition_3': [0], 'friendly_4': [0]} | ['goal', 'date', 'score', 'result', 'competition'] | [['1', 'november 22 , 1994', '1 - 0', '3 - 0', 'friendly'], ['2', 'december 11 , 1994', '1 - 1', '1 - 1', 'friendly'], ['3', 'january 21 , 1996', '3 - 0', '3 - 0', '1996 concacaf gold cup'], ['4', 'june 17 , 1997', '2 - 0', '2 - 1', 'friendly'], ['5', 'february 6 , 1999', '1 - 0', '3 - 0', 'friendly'], ['6', 'july 24 ,... |
circuit trois - rivières | https://en.wikipedia.org/wiki/Circuit_Trois-Rivi%C3%A8res | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11095234-7.html.csv | ordinal | the 2nd fewest number of laps that were driven at the circuit trois - rivières was in 2010 . | {'row': '4', 'col': '5', 'order': '2', 'col_other': '1', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'eq', 'args': [{'func': 'num_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'distance / duration', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; distance / duration ; 2 }'}, 'year'], 'result': '2010', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; distance / duration ; 2 } ; ... | eq { hop { nth_argmin { all_rows ; distance / duration ; 2 } ; year } ; 2010 } = true | select the row whose distance / duration record of all rows is 2nd minimum . the year record of this row is 2010 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'num_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'distance / duration_5': 5, '2_6': 6, 'year_7': 7, '2010_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'num_hop_1': 'num_hop', 'nth_argmin_0': 'nth_argmin', 'all_rows_4': 'all_rows', 'distance / duration_5': 'distance / duration', '2_6': '2', 'year_7': 'year', '2010_8': '2010'} | {'eq_2': [3], 'result_3': [], 'num_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'distance / duration_5': [0], '2_6': [0], 'year_7': [1], '2010_8': [2]} | ['year', 'date', 'driver', 'team', 'distance / duration'] | [['2007', 'sept 4', 'kerry micks', 'beyond digital imaging', '41 laps'], ['2008', 'aug 17', 'andrew ranger', 'wal - mart / tide', '46 laps'], ['2009', 'aug 17', 'andrew ranger', 'wal - mart / tide', '43 laps'], ['2010', 'aug 15', 'andrew ranger', 'dodge dealers of quebec', '42 laps'], ['2011', 'aug 7', 'robin buck', 'q... |
1981 - 82 coupe de france | https://en.wikipedia.org/wiki/1981%E2%80%9382_Coupe_de_France | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16893470-1.html.csv | comparative | as saint - étienne had a higher scoring game than girondins de bordeaux . | {'row_1': '2', 'row_2': '1', 'col': '2', 'col_other': '1', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'team 1', 'as saint - étienne ( d1 )'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose team 1 record fuzzily matches to as saint - étienne ( d1 ) .', 'tostr': 'filter_eq { all_rows ; team 1 ; as saint -... | greater { hop { filter_eq { all_rows ; team 1 ; as saint - étienne ( d1 ) } ; score } ; hop { filter_eq { all_rows ; team 1 ; girondins de bordeaux ( d1 ) } ; score } } = true | select the rows whose team 1 record fuzzily matches to as saint - étienne ( d1 ) . take the score record of this row . select the rows whose team 1 record fuzzily matches to girondins de bordeaux ( d1 ) . take the score record of this row . the first record is greater than the second record . | 5 | 5 | {'greater_4': 4, 'result_5': 5, 'str_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'team 1_7': 7, 'as saint - étienne (d1)_8': 8, 'score_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'team 1_11': 11, 'girondins de bordeaux (d1)_12': 12, 'score_13': 13} | {'greater_4': 'greater', 'result_5': 'true', 'str_hop_2': 'str_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'team 1_7': 'team 1', 'as saint - étienne (d1)_8': 'as saint - étienne ( d1 )', 'score_9': 'score', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 't... | {'greater_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'team 1_7': [0], 'as saint - étienne (d1)_8': [0], 'score_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'team 1_11': [1], 'girondins de bordeaux (d1)_12': [1], 'score_13': [3]} | ['team 1', 'score', 'team 2', '1st round', '2nd round'] | [['girondins de bordeaux ( d1 )', '4 - 2', 'as monaco ( d1 )', '2 - 1', '2 - 1'], ['as saint - étienne ( d1 )', '5 - 3', 'stade brestois ( d1 )', '2 - 0', '3 - 3'], ['sc bastia ( d1 )', '4 - 3', 'olympique lyonnais ( d1 )', '2 - 0', '2 - 3'], ['tours fc ( d1 )', '6 - 5', 'fc metz ( d1 )', '4 - 1', '2 - 4'], ['olympique... |
2007 open championship | https://en.wikipedia.org/wiki/2007_Open_Championship | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12278571-8.html.csv | aggregation | the combined winnings of the players who tied for 8th in the 2007 open championship was $ 379,000 . | {'scope': 'subset', 'col': '6', 'type': 'sum', 'result': '$ 379,000', 'subset': {'col': '1', 'criterion': 'equal', 'value': 't8'}} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'place', 't8'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; place ; t8 }', 'tointer': 'select the rows whose place record fuzzily matches to t8 .'}, 'money'], 'result': '$ 379,000', 'ind': 1, 'tostr': 's... | round_eq { sum { filter_eq { all_rows ; place ; t8 } ; money } ; $ 379,000 } = true | select the rows whose place record fuzzily matches to t8 . the sum of the money record of these rows is $ 379,000 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'sum_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'place_5': 5, 't8_6': 6, 'money_7': 7, '$379,000_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'sum_1': 'sum', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'place_5': 'place', 't8_6': 't8', 'money_7': 'money', '$379,000_8': '$ 379,000'} | {'eq_2': [3], 'result_3': [], 'sum_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'place_5': [0], 't8_6': [0], 'money_7': [1], '$379,000_8': [2]} | ['place', 'player', 'country', 'score', 'to par', 'money'] | [['t1', 'pádraig harrington', 'ireland', '69 + 73 + 68 + 67 = 277', '- 7', 'playoff'], ['t1', 'sergio garcía', 'spain', '65 + 71 + 68 + 73 = 277', '- 7', 'playoff'], ['3', 'andrés romero', 'argentina', '71 + 70 + 70 + 67 = 278', '- 6', '290000'], ['t4', 'ernie els', 'south africa', '72 + 70 + 68 + 69 = 279', '- 5', '20... |
mexico national under - 20 football team | https://en.wikipedia.org/wiki/Mexico_national_under-20_football_team | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17736508-2.html.csv | ordinal | of the managers of the mexico national under - 20 football team , horacio casarin has the 2nd lowest win percentage . | {'row': '1', 'col': '6', 'order': '2', 'col_other': '1', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'win %', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; win % ; 2 }'}, 'manager'], 'result': 'horacio casarin', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; win % ; 2 } ; manager }'}, 'horacio ca... | eq { hop { nth_argmin { all_rows ; win % ; 2 } ; manager } ; horacio casarin } = true | select the row whose win % record of all rows is 2nd minimum . the manager record of this row is horacio casarin . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'win %_5': 5, '2_6': 6, 'manager_7': 7, 'horacio casarin_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmin_0': 'nth_argmin', 'all_rows_4': 'all_rows', 'win %_5': 'win %', '2_6': '2', 'manager_7': 'manager', 'horacio casarin_8': 'horacio casarin'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'win %_5': [0], '2_6': [0], 'manager_7': [1], 'horacio casarin_8': [2]} | ['manager', 'mexico career', 'played', 'drawn', 'lost', 'win %'] | [['horacio casarin', '1977', '5', '4', '0', '20.0'], ['mario velarde', '1983', '3', '1', '2', '0.00'], ['jesús del muro', '1985 , 1998 - 1999', '12', '1', '2', '75.00'], ['alfonso portugal diaz', '1991', '4', '2', '1', '25.0'], ['juan de dios castillo', '1992 - 1993', '7', '2', '1', '60'], ['juan manuel alvarez', '1994... |
united states house of representatives elections , 1954 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1954 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1342013-20.html.csv | unique | thomas j lane was the only incumbent who was first elected in 1941 . | {'scope': 'all', 'row': '4', 'col': '4', 'col_other': '2', 'criterion': 'equal', 'value': '1941', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'first elected', '1941'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose first elected record is equal to 1941 .', 'tostr': 'filter_eq { all_rows ; first elected ; 1941 }'}], 'result': True, 'ind': 1, 'tostr': 'on... | and { only { filter_eq { all_rows ; first elected ; 1941 } } ; eq { hop { filter_eq { all_rows ; first elected ; 1941 } ; incumbent } ; thomas j lane } } = true | select the rows whose first elected record is equal to 1941 . there is only one such row in the table . the incumbent record of this unqiue row is thomas j lane . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_eq_0': 0, 'all_rows_6': 6, 'first elected_7': 7, '1941_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'incumbent_9': 9, 'thomas j lane_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_eq_0': 'filter_eq', 'all_rows_6': 'all_rows', 'first elected_7': 'first elected', '1941_8': '1941', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'incumbent_9': 'incumbent', 'thomas j lane_10': 'thomas j lane'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_eq_0': [1, 2], 'all_rows_6': [0], 'first elected_7': [0], '1941_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'incumbent_9': [2], 'thomas j lane_10': [3]} | ['district', 'incumbent', 'party', 'first elected', 'result', 'candidates'] | [['massachusetts 1', 'john w heselton', 'republican', '1944', 're - elected', 'john w heselton ( r ) 55.6 % john j dwyer ( d ) 44.4 %'], ['massachusetts 3', 'philip philbin', 'democratic', '1942', 're - elected', 'philip philbin ( d ) unopposed'], ['massachusetts 5', 'edith nourse rogers', 'republican', '1925', 're - e... |
pune suburban railway | https://en.wikipedia.org/wiki/Pune_Suburban_Railway | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-29301050-1.html.csv | ordinal | train number 99806 has the second earliest departure time from prune . | {'row': '2', 'col': '3', 'order': '2', 'col_other': '1', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'eq', 'args': [{'func': 'num_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'departure pune', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; departure pune ; 2 }'}, 'train number'], 'result': '99806', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; departure pune ; 2 } ; train ... | eq { hop { nth_argmin { all_rows ; departure pune ; 2 } ; train number } ; 99806 } = true | select the row whose departure pune record of all rows is 2nd minimum . the train number record of this row is 99806 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'num_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'departure pune_5': 5, '2_6': 6, 'train number_7': 7, '99806_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'num_hop_1': 'num_hop', 'nth_argmin_0': 'nth_argmin', 'all_rows_4': 'all_rows', 'departure pune_5': 'departure pune', '2_6': '2', 'train number_7': 'train number', '99806_8': '99806'} | {'eq_2': [3], 'result_3': [], 'num_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'departure pune_5': [0], '2_6': [0], 'train number_7': [1], '99806_8': [2]} | ['train number', 'train name', 'departure pune', 'arrival lonavla', 'frequency', 'origin'] | [['99804', 'lonavala local', '04:45', '06:05', 'daily', 'pune railway station'], ['99806', 'lonavala local', '05:45', '07:05', 'daily', 'pune railway station'], ['99808', 'lonavala local', '06:30', '07:50', 'daily', 'pune railway station'], ['99810', 'lonavala local', '08:05', '10:25', 'daily', 'pune railway station'],... |
european poker tour | https://en.wikipedia.org/wiki/European_Poker_Tour | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1296513-8.html.csv | majority | the majority of winners prize money for the european poker tour events were more than 500,000 . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'greater_than', 'value': '500,000', 'subset': None} | {'func': 'most_greater', 'args': ['all_rows', 'prize', '500,000'], 'result': True, 'ind': 0, 'tointer': 'for the prize records of all rows , most of them are greater than 500,000 .', 'tostr': 'most_greater { all_rows ; prize ; 500,000 } = true'} | most_greater { all_rows ; prize ; 500,000 } = true | for the prize records of all rows , most of them are greater than 500,000 . | 1 | 1 | {'most_greater_0': 0, 'result_1': 1, 'all_rows_2': 2, 'prize_3': 3, '500,000_4': 4} | {'most_greater_0': 'most_greater', 'result_1': 'true', 'all_rows_2': 'all_rows', 'prize_3': 'prize', '500,000_4': '500,000'} | {'most_greater_0': [1], 'result_1': [], 'all_rows_2': [0], 'prize_3': [0], '500,000_4': [0]} | ['date', 'city', 'event', 'winner', 'prize'] | [['2 - 7 august 2011', 'tallinn', 'ept tallinn', 'ronny kaiser', '275000'], ['27 aug - 1 sep 2011', 'barcelona', 'ept barcelona', 'martin schleich', '850000'], ['30 sep - 6 oct 2011', 'london', 'ept london', 'benny spindler', '750000'], ['21 - 27 october 2011', 'sanremo', 'ept sanremo', 'andrey pateychuk', '800000'], [... |
three rivers conference ( indiana ) | https://en.wikipedia.org/wiki/Three_Rivers_Conference_%28Indiana%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15176211-2.html.csv | majority | most of the schools in the three rivers conference joined in 1971 . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'equal', 'value': '1971', 'subset': None} | {'func': 'most_eq', 'args': ['all_rows', 'year joined', '1971'], 'result': True, 'ind': 0, 'tointer': 'for the year joined records of all rows , most of them are equal to 1971 .', 'tostr': 'most_eq { all_rows ; year joined ; 1971 } = true'} | most_eq { all_rows ; year joined ; 1971 } = true | for the year joined records of all rows , most of them are equal to 1971 . | 1 | 1 | {'most_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'year joined_3': 3, '1971_4': 4} | {'most_eq_0': 'most_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'year joined_3': 'year joined', '1971_4': '1971'} | {'most_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'year joined_3': [0], '1971_4': [0]} | ['school', 'location', 'mascot', 'county', 'year joined', 'previous conference', 'year left', 'new conference'] | [['caston', 'fulton', 'comets', '25 fulton', '1971', 'independents', '1978', 'joined midwest'], ['culver community', 'culver', 'cavaliers', '50 marshall', '1971', 'independents', '1976', 'independents'], ['triton', 'bourbon', 'trojans', '50 marshall', '1971', 'independent', '1980', 'joined northern state'], ['eastern (... |
1935 masters tournament | https://en.wikipedia.org/wiki/1935_Masters_Tournament | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12586224-1.html.csv | majority | the majority of golfers in the top 10 finishes from the 1935 masters had a score below 71 . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'less_than', 'value': '71', 'subset': None} | {'func': 'most_less', 'args': ['all_rows', 'score', '71'], 'result': True, 'ind': 0, 'tointer': 'for the score records of all rows , most of them are less than 71 .', 'tostr': 'most_less { all_rows ; score ; 71 } = true'} | most_less { all_rows ; score ; 71 } = true | for the score records of all rows , most of them are less than 71 . | 1 | 1 | {'most_less_0': 0, 'result_1': 1, 'all_rows_2': 2, 'score_3': 3, '71_4': 4} | {'most_less_0': 'most_less', 'result_1': 'true', 'all_rows_2': 'all_rows', 'score_3': 'score', '71_4': '71'} | {'most_less_0': [1], 'result_1': [], 'all_rows_2': [0], 'score_3': [0], '71_4': [0]} | ['place', 'player', 'country', 'score', 'to par'] | [['1', 'henry picard', 'united states', '67', '- 5'], ['t2', 'gene sarazen', 'united states', '68', '- 4'], ['t2', 'ray mangrum', 'united states', '68', '- 4'], ['t2', 'willie goggin', 'united states', '68', '- 4'], ['5', 'craig wood', 'united states', '69', '- 3'], ['t6', 'olin dutra', 'united states', '70', '- 2'], [... |
united states house of representatives elections , 1966 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1966 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1341843-44.html.csv | majority | most of the people that were voted into the texas house of representatives in 1966 had been re-elected . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'equal', 'value': 're - elected', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'result', 're - elected'], 'result': True, 'ind': 0, 'tointer': 'for the result records of all rows , most of them fuzzily match to re - elected .', 'tostr': 'most_eq { all_rows ; result ; re - elected } = true'} | most_eq { all_rows ; result ; re - elected } = true | for the result records of all rows , most of them fuzzily match to re - elected . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'result_3': 3, 're - elected_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'result_3': 'result', 're - elected_4': 're - elected'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'result_3': [0], 're - elected_4': [0]} | ['district', 'incumbent', 'party', 'first elected', 'result', 'candidates'] | [['texas 1', 'wright patman', 'democratic', '1928', 're - elected', 'wright patman ( d ) unopposed'], ['texas 2', 'john dowdy redistricted from 7th', 'democratic', '1952', 're - elected', 'john dowdy ( d ) unopposed'], ['texas 3', 'joe r pool redistricted from at - large', 'democratic', '1962', 're - elected', 'joe r p... |
list of amd athlon x2 microprocessors | https://en.wikipedia.org/wiki/List_of_AMD_Athlon_X2_microprocessors | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-13869651-2.html.csv | aggregation | the average frequency for amd athlon x2 microprocessors is around 2200 mhz . | {'scope': 'all', 'col': '3', 'type': 'average', 'result': '2200 mhz', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'frequency'], 'result': '2200 mhz', 'ind': 0, 'tostr': 'avg { all_rows ; frequency }'}, '2200 mhz'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; frequency } ; 2200 mhz } = true', 'tointer': 'the average of the frequency record of all... | round_eq { avg { all_rows ; frequency } ; 2200 mhz } = true | the average of the frequency record of all rows is 2200 mhz . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'frequency_4': 4, '2200 mhz_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'frequency_4': 'frequency', '2200 mhz_5': '2200 mhz'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'frequency_4': [0], '2200 mhz_5': [1]} | ['model number', 'stepping', 'frequency', 'l2 cache', 'multi 1', 'v core', 'socket', 'release date', 'part number ( s )'] | [['athlon x2 3250e', 'g2', '1500 mhz', '2 512 kb', '7.5', '1.15 - 1.25 v', 'socket am2', 'q4 , 2008', 'adj3250iav5do'], ['athlon x2 4050e', 'g2', '2100 mhz', '2 512 kb', '10.5', '1.15 - 1.25 v', 'socket am2', 'april 21 , 2008', 'adh4050iaa5do'], ['athlon x2 4450e', 'g2', '2300 mhz', '2 512 kb', '11.5', '1.15 - 1.25 v',... |
2002 fivb women 's volleyball world championship qualification | https://en.wikipedia.org/wiki/2002_FIVB_Women%27s_Volleyball_World_Championship_qualification | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17626199-35.html.csv | count | two of these matches took place on the 14th of july . | {'scope': 'all', 'criterion': 'equal', 'value': '14 jul', 'result': '2', 'col': '1', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'date', '14 jul'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose date record fuzzily matches to 14 jul .', 'tostr': 'filter_eq { all_rows ; date ; 14 jul }'}], 'result': '2', 'ind': 1, 'tostr': 'count { filte... | eq { count { filter_eq { all_rows ; date ; 14 jul } } ; 2 } = true | select the rows whose date record fuzzily matches to 14 jul . the number of such rows is 2 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'date_5': 5, '14 jul_6': 6, '2_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'date_5': 'date', '14 jul_6': '14 jul', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'date_5': [0], '14 jul_6': [0], '2_7': [2]} | ['date', 'score', 'set 1', 'set 2', 'set 3', 'total'] | [['13 jul', '0 - 3', '9 - 25', '17 - 25', '12 - 25', '38 - 75'], ['13 jul', '3 - 0', '25 - 23', '25 - 10', '25 - 13', '75 - 46'], ['14 jul', '3 - 0', '25 - 13', '25 - 10', '25 - 11', '75 - 34'], ['14 jul', '1 - 3', '25 - 22', '16 - 25', '15 - 25', '70 - 97'], ['15 jul', '0 - 3', '16 - 25', '19 - 25', '18 - 25', '53 - 7... |
florent piétrus | https://en.wikipedia.org/wiki/Florent_Pi%C3%A9trus | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-2761641-1.html.csv | superlative | florent piétrus scored the lowest number of points per game during the 2011 eurobasket tournament . | {'scope': 'all', 'col_superlative': '3', 'row_superlative': '7', 'value_mentioned': 'no', 'max_or_min': 'min', 'other_col': '1', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmin', 'args': ['all_rows', 'points per game'], 'result': None, 'ind': 0, 'tostr': 'argmin { all_rows ; points per game }'}, 'tournament'], 'result': '2011 eurobasket', 'ind': 1, 'tostr': 'hop { argmin { all_rows ; points per game } ; tournament }'}, ... | eq { hop { argmin { all_rows ; points per game } ; tournament } ; 2011 eurobasket } = true | select the row whose points per game record of all rows is minimum . the tournament record of this row is 2011 eurobasket . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmin_0': 0, 'all_rows_4': 4, 'points per game_5': 5, 'tournament_6': 6, '2011 eurobasket_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmin_0': 'argmin', 'all_rows_4': 'all_rows', 'points per game_5': 'points per game', 'tournament_6': 'tournament', '2011 eurobasket_7': '2011 eurobasket'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmin_0': [1], 'all_rows_4': [0], 'points per game_5': [0], 'tournament_6': [1], '2011 eurobasket_7': [2]} | ['tournament', 'games played', 'points per game', 'rebounds per game', 'assists per game'] | [['2003 eurobasket', '6', '6.8', '5.3', '0.7'], ['2005 eurobasket', '7', '7.6', '7.1', '0.6'], ['2006 fiba world championship', '9', '9.7', '6.7', '0.6'], ['2007 eurobasket', '7', '8.9', '3.7', '0.6'], ['2009 eurobasket', '8', '6.5', '2.9', '1.1'], ['2010 fiba world championship', '4', '4.5', '4.8', '1.5'], ['2011 euro... |
list of bohemian consorts | https://en.wikipedia.org/wiki/List_of_Bohemian_consorts | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10870631-9.html.csv | ordinal | maria teresa of the two sicilies was the second person among the bohemian consort from the house of hasburg-lorraine to become queen . | {'row': '2', 'col': '5', 'order': '2', 'col_other': '1', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'became queen', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; became queen ; 2 }'}, 'name'], 'result': 'maria teresa of the two sicilies', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; became que... | eq { hop { nth_argmin { all_rows ; became queen ; 2 } ; name } ; maria teresa of the two sicilies } = true | select the row whose became queen record of all rows is 2nd minimum . the name record of this row is maria teresa of the two sicilies . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'became queen_5': 5, '2_6': 6, 'name_7': 7, 'maria teresa of the two sicilies_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmin_0': 'nth_argmin', 'all_rows_4': 'all_rows', 'became queen_5': 'became queen', '2_6': '2', 'name_7': 'name', 'maria teresa of the two sicilies_8': 'maria teresa of the two sicilies'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'became queen_5': [0], '2_6': [0], 'name_7': [1], 'maria teresa of the two sicilies_8': [2]} | ['name', 'father', 'birth', 'marriage', 'became queen', 'ceased to be queen', 'death', 'spouse'] | [['maria louisa of spain', 'charles iii of spain', '24 november 1745', '16 february 1764', '20 february 1790', '1 march 1792', '15 may 1792', 'leopold ii'], ['maria teresa of the two sicilies', 'ferdinand i of the two sicilies', '6 june 1772', '15 august 1790', '1 march 1792', '13 april 1807', '13 april 1807', 'francis... |
1977 - 78 new york rangers season | https://en.wikipedia.org/wiki/1977%E2%80%9378_New_York_Rangers_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17310913-13.html.csv | count | in the 1977 - 78 new york rangers season , among canadian players , 6 of them played as wingers ( lw ) . | {'scope': 'subset', 'criterion': 'equal', 'value': 'lw', 'result': '6', 'col': '3', 'subset': {'col': '4', 'criterion': 'equal', 'value': 'canada'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'nationality', 'canada'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; nationality ; canada }', 'tointer': 'select the rows whose nationality record fuzzily matches to canad... | eq { count { filter_eq { filter_eq { all_rows ; nationality ; canada } ; position ; lw } } ; 6 } = true | select the rows whose nationality record fuzzily matches to canada . among these rows , select the rows whose position record fuzzily matches to lw . the number of such rows is 6 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'count_2': 2, 'filter_str_eq_1': 1, 'filter_str_eq_0': 0, 'all_rows_5': 5, 'nationality_6': 6, 'canada_7': 7, 'position_8': 8, 'lw_9': 9, '6_10': 10} | {'eq_3': 'eq', 'result_4': 'true', 'count_2': 'count', 'filter_str_eq_1': 'filter_str_eq', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_5': 'all_rows', 'nationality_6': 'nationality', 'canada_7': 'canada', 'position_8': 'position', 'lw_9': 'lw', '6_10': '6'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_str_eq_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'nationality_6': [0], 'canada_7': [0], 'position_8': [1], 'lw_9': [1], '6_10': [3]} | ['round', 'player', 'position', 'nationality', 'college / junior / club team ( league )'] | [['1', 'lucien deblois', 'rw', 'canada', 'sorel black hawks ( qmjhl )'], ['1', 'ron duguay', 'c', 'canada', 'sudbury wolves ( oha )'], ['2', 'mike keating', 'lw', 'canada', 'st catharines fincups ( oha )'], ['3', 'steve baker', 'g', 'united states', 'union college ( ncaa )'], ['4', 'mario marois', 'd', 'canada', 'quebe... |
united states house of representatives elections , 1868 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1868 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1434788-5.html.csv | ordinal | john thomas wilson recorded the highest percentage ratio among all candidates of the 1868 house of representatives elections . | {'row': '4', 'col': '6', 'order': '1', 'col_other': '2', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'candidates', '1'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; candidates ; 1 }'}, 'incumbent'], 'result': 'john thomas wilson', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; candidates ; 1 } ; incu... | eq { hop { nth_argmax { all_rows ; candidates ; 1 } ; incumbent } ; john thomas wilson } = true | select the row whose candidates record of all rows is 1st maximum . the incumbent record of this row is john thomas wilson . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'candidates_5': 5, '1_6': 6, 'incumbent_7': 7, 'john thomas wilson_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmax_0': 'nth_argmax', 'all_rows_4': 'all_rows', 'candidates_5': 'candidates', '1_6': '1', 'incumbent_7': 'incumbent', 'john thomas wilson_8': 'john thomas wilson'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'candidates_5': [0], '1_6': [0], 'incumbent_7': [1], 'john thomas wilson_8': [2]} | ['district', 'incumbent', 'party', 'first elected', 'result', 'candidates'] | [['ohio 7', 'samuel shellabarger', 'republican', '1864', 'retired republican hold', 'james j winans ( r ) 50.2 % john h thomas ( d ) 49.8 %'], ['ohio 8', 'john beatty', 'republican', '1868 ( s )', 're - elected', 'john beatty ( r ) 52.0 % john h benson ( d ) 48.0 %'], ['ohio 10', 'james m ashley', 'republican', '1862',... |
texas 's 5th congressional district | https://en.wikipedia.org/wiki/Texas%27s_5th_congressional_district | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1140249-1.html.csv | comparative | pete sessions took office in the 5th district after jim mattox had been in office . | {'row_1': '17', 'row_2': '15', 'col': '2', 'col_other': '1', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'name', 'pete sessions'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose name record fuzzily matches to pete sessions .', 'tostr': 'filter_eq { all_rows ; name ; pete sessions }'}, 'took office'], 'resu... | greater { hop { filter_eq { all_rows ; name ; pete sessions } ; took office } ; hop { filter_eq { all_rows ; name ; jim mattox } ; took office } } = true | select the rows whose name record fuzzily matches to pete sessions . take the took office record of this row . select the rows whose name record fuzzily matches to jim mattox . take the took office record of this row . the first record is greater than the second record . | 5 | 5 | {'greater_4': 4, 'result_5': 5, 'str_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'name_7': 7, 'pete sessions_8': 8, 'took office_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'name_11': 11, 'jim mattox_12': 12, 'took office_13': 13} | {'greater_4': 'greater', 'result_5': 'true', 'str_hop_2': 'str_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'name_7': 'name', 'pete sessions_8': 'pete sessions', 'took office_9': 'took office', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'name_11': 'name... | {'greater_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'name_7': [0], 'pete sessions_8': [0], 'took office_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'name_11': [1], 'jim mattox_12': [1], 'took office_13': [3]} | ['name', 'took office', 'left office', 'party', 'district residence'] | [['district created march 4 , 1875', 'district created march 4 , 1875', 'district created march 4 , 1875', 'district created march 4 , 1875', 'district created march 4 , 1875'], ['john hancock', 'march 4 , 1875', 'march 3 , 1877', 'democrat', 'austin'], ['dewitt clinton giddings', 'march 4 , 1877', 'march 3 , 1879', 'd... |
lt & sr 37 class | https://en.wikipedia.org/wiki/LT%26SR_37_Class | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-20391799-1.html.csv | majority | the majority of lt & sr 37 class locomotives were withdrawn in the year 1951 . | {'scope': 'all', 'col': '8', 'most_or_all': 'most', 'criterion': 'equal', 'value': '1951', 'subset': None} | {'func': 'most_eq', 'args': ['all_rows', 'withdrawn', '1951'], 'result': True, 'ind': 0, 'tointer': 'for the withdrawn records of all rows , most of them are equal to 1951 .', 'tostr': 'most_eq { all_rows ; withdrawn ; 1951 } = true'} | most_eq { all_rows ; withdrawn ; 1951 } = true | for the withdrawn records of all rows , most of them are equal to 1951 . | 1 | 1 | {'most_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'withdrawn_3': 3, '1951_4': 4} | {'most_eq_0': 'most_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'withdrawn_3': 'withdrawn', '1951_4': '1951'} | {'most_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'withdrawn_3': [0], '1951_4': [0]} | ['ltsr no', 'ltsr name', 'builder', 'built', 'mr no', 'lms 1930 no', 'br no', 'withdrawn'] | [['37', 'woodgrange', 'ss 4245', '1897', '2146', '2135', '41953', '1951'], ['38', 'westcliff', 'ss 4246', '1897', '2147', '2136', '41954', '1951'], ['39', 'forest gate', 'ss 4247', '1897', '2148', '2137', '41955', '1951'], ['40', 'benfleet', 'ss 4248', '1897', '2149', '2138', '41956', '1951'], ['41', 'leytonstone', 'ss... |
usa today all - usa high school baseball team | https://en.wikipedia.org/wiki/USA_Today_All-USA_high_school_baseball_team | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-11677100-18.html.csv | count | there were 2 players picked in the 1st round of the 2012 mlb draft on the usa today all-usa high school baseball team . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': '1st round', 'result': '2', 'col': '5', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'mlb draft', '1st round'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose mlb draft record fuzzily matches to 1st round .', 'tostr': 'filter_eq { all_rows ; mlb draft ; 1st round }'}], 'result': '2', 'ind': 1,... | eq { count { filter_eq { all_rows ; mlb draft ; 1st round } } ; 2 } = true | select the rows whose mlb draft record fuzzily matches to 1st round . the number of such rows is 2 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'mlb draft_5': 5, '1st round_6': 6, '2_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'mlb draft_5': 'mlb draft', '1st round_6': '1st round', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'mlb draft_5': [0], '1st round_6': [0], '2_7': [2]} | ['player', 'position', 'school', 'hometown', 'mlb draft'] | [['byron buxton', 'pitcher / outfielder', 'appling county high school', 'baxley , ga', '1st round - 2nd pick of the 2012 draft ( twins )'], ['gavin cecchini', 'infielder', 'barbe high school', 'lake charles , la', '1st round - 12th pick of the 2012 draft ( mets )'], ['james kaprelian', 'pitcher', 'beckman high school',... |
state assembly elections in india , 2008 | https://en.wikipedia.org/wiki/State_Assembly_elections_in_India%2C_2008 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15329030-1.html.csv | unique | mizoram is the only state with exactly 40 seats in its state assembly . | {'scope': 'all', 'row': '8', 'col': '2', 'col_other': '1', 'criterion': 'equal', 'value': '40', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'seats ( acs )', '40'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose seats ( acs ) record is equal to 40 .', 'tostr': 'filter_eq { all_rows ; seats ( acs ) ; 40 }'}], 'result': True, 'ind': 1, 'tostr': 'only { f... | and { only { filter_eq { all_rows ; seats ( acs ) ; 40 } } ; eq { hop { filter_eq { all_rows ; seats ( acs ) ; 40 } ; state } ; mizoram } } = true | select the rows whose seats ( acs ) record is equal to 40 . there is only one such row in the table . the state record of this unqiue row is mizoram . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_eq_0': 0, 'all_rows_6': 6, 'seats (acs)_7': 7, '40_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'state_9': 9, 'mizoram_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_eq_0': 'filter_eq', 'all_rows_6': 'all_rows', 'seats (acs)_7': 'seats ( acs )', '40_8': '40', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'state_9': 'state', 'mizoram_10': 'mizoram'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_eq_0': [1, 2], 'all_rows_6': [0], 'seats (acs)_7': [0], '40_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'state_9': [2], 'mizoram_10': [3]} | ['state', 'seats ( acs )', 'date of counting', 'incumbent', 'election winner'] | [['tripura', '60', 'friday , 7 mar 2008', 'cpi ( m )', 'cpi ( m )'], ['meghalaya', '60', 'friday , 7 mar 2008', 'inc', 'mpa 1'], ['nagaland', '60', 'saturday , 8 march 2008', 'dan', 'dan 2'], ['karnataka', '240', 'sunday , 25 may 2008', 'inc', 'bjp'], ['chhattisgarh', '90', 'monday , 08 dec 2008', 'bjp', 'bjp'], ['madh... |
sheffield and hallamshire association cup | https://en.wikipedia.org/wiki/Sheffield_and_Hallamshire_Association_Cup | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14909105-1.html.csv | majority | the majority of events took place at the belle vue site in the sheffield and hallamshire association cup from 2002-2013 . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'belle vue', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'final venue', 'belle vue'], 'result': True, 'ind': 0, 'tointer': 'for the final venue records of all rows , most of them fuzzily match to belle vue .', 'tostr': 'most_eq { all_rows ; final venue ; belle vue } = true'} | most_eq { all_rows ; final venue ; belle vue } = true | for the final venue records of all rows , most of them fuzzily match to belle vue . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'final venue_3': 3, 'belle vue_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'final venue_3': 'final venue', 'belle vue_4': 'belle vue'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'final venue_3': [0], 'belle vue_4': [0]} | ['season', 'winner', 'result', 'runner - up', 'final venue'] | [['2002 - 03', 'elm tree', '1 - 0', 'stocksbridge park steels reserves', 'belle vue'], ['2003 - 04', 'hsbc', '3 - 2', 'athersley recreation', 'belle vue'], ['2004 - 05', 'kiveton park', '2 - 2', 'athersley recreation', 'sandy lane'], ['2005 - 06', 'kiveton park', '5 - 0', 'sheffield lane top', 'belle vue'], ['2006 - 07... |
list of government schools in new south wales : q - z | https://en.wikipedia.org/wiki/List_of_Government_schools_in_New_South_Wales%3A_Q%E2%80%93Z | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18155481-6.html.csv | unique | in list of government schools in new south wales : q - z , the only one k-6 in villawood was founded in 1955 . | {'scope': 'subset', 'row': '7', 'col': '2', 'col_other': '4', 'criterion': 'equal', 'value': 'villawood', 'subset': {'col': '3', 'criterion': 'equal', 'value': 'k - 6'}} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'years', 'k - 6'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; years ; k - 6 }', 'tointer': 'select the rows whose years record fuzzily matches to k - 6 .'}, 'suburb / town... | and { only { filter_eq { filter_eq { all_rows ; years ; k - 6 } ; suburb / town ; villawood } } ; eq { hop { filter_eq { filter_eq { all_rows ; years ; k - 6 } ; suburb / town ; villawood } ; founded } ; 1955 } } = true | select the rows whose years record fuzzily matches to k - 6 . among these rows , select the rows whose suburb / town record fuzzily matches to villawood . there is only one such row in the table . the founded record of this unqiue row is 1955 . | 8 | 6 | {'and_5': 5, 'result_6': 6, 'only_2': 2, 'filter_str_eq_1': 1, 'filter_str_eq_0': 0, 'all_rows_7': 7, 'years_8': 8, 'k - 6_9': 9, 'suburb / town_10': 10, 'villawood_11': 11, 'eq_4': 4, 'num_hop_3': 3, 'founded_12': 12, '1955_13': 13} | {'and_5': 'and', 'result_6': 'true', 'only_2': 'only', 'filter_str_eq_1': 'filter_str_eq', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_7': 'all_rows', 'years_8': 'years', 'k - 6_9': 'k - 6', 'suburb / town_10': 'suburb / town', 'villawood_11': 'villawood', 'eq_4': 'eq', 'num_hop_3': 'num_hop', 'founded_12': 'founded'... | {'and_5': [6], 'result_6': [], 'only_2': [5], 'filter_str_eq_1': [2, 3], 'filter_str_eq_0': [1], 'all_rows_7': [0], 'years_8': [0], 'k - 6_9': [0], 'suburb / town_10': [1], 'villawood_11': [1], 'eq_4': [5], 'num_hop_3': [4], 'founded_12': [3], '1955_13': [4]} | ['school', 'suburb / town', 'years', 'founded', 'website'] | [['vacy public school', 'vacy', 'k - 6', '1859', 'website'], ['valentine public school', 'valentine', 'k - 6', '1958', 'website'], ['valley view public school', 'wyoming', 'k - 6', '1980', 'website'], ['vardys road public school', 'seven hills', 'k - 6', '1960', 'website'], ['vaucluse public school', 'vaucluse', 'k - 6... |
downer edi rail gt46c ace | https://en.wikipedia.org/wiki/Downer_EDI_Rail_GT46C_ACe | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17557270-1.html.csv | count | 3 of the trains were at least partially built some time in 2011 . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': '2011', 'result': '3', 'col': '5', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'built', '2011'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose built record fuzzily matches to 2011 .', 'tostr': 'filter_eq { all_rows ; built ; 2011 }'}], 'result': '3', 'ind': 1, 'tostr': 'count { filter_e... | eq { count { filter_eq { all_rows ; built ; 2011 } } ; 3 } = true | select the rows whose built record fuzzily matches to 2011 . the number of such rows is 3 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'built_5': 5, '2011_6': 6, '3_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'built_5': 'built', '2011_6': '2011', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'built_5': [0], '2011_6': [0], '3_7': [2]} | ['owner', 'class', 'number in class', 'road numbers', 'built'] | [['sct logistics', 'sct class', '15', 'sct001 - sct015', '2007 - 2008'], ['downer rail', 'ldp class', '9', 'ldp001 - ldp009', '2009'], ['pacific national', 'tt class', '34', 'tt01 - tt08 , tt101 - tt126', '2009 - 2011'], ['whitehaven coal', 'wh class', '3', 'wh001 - wh003', '2011'], ['genesee & wyoming australia', 'gwa... |
2008 - 09 montreal canadiens season | https://en.wikipedia.org/wiki/2008%E2%80%9309_Montreal_Canadiens_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17206737-28.html.csv | count | in the 2008 - 2009 montreal canadiens draft pick , two of the players from the usa were right wings . | {'scope': 'subset', 'criterion': 'equal', 'value': 'rw', 'result': '2', 'col': '3', 'subset': {'col': '4', 'criterion': 'equal', 'value': 'usa'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'nationality', 'usa'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; nationality ; usa }', 'tointer': 'select the rows whose nationality record fuzzily matches to usa .'}, 'p... | eq { count { filter_eq { filter_eq { all_rows ; nationality ; usa } ; position ; rw } } ; 2 } = true | select the rows whose nationality record fuzzily matches to usa . among these rows , select the rows whose position record fuzzily matches to rw . the number of such rows is 2 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'count_2': 2, 'filter_str_eq_1': 1, 'filter_str_eq_0': 0, 'all_rows_5': 5, 'nationality_6': 6, 'usa_7': 7, 'position_8': 8, 'rw_9': 9, '2_10': 10} | {'eq_3': 'eq', 'result_4': 'true', 'count_2': 'count', 'filter_str_eq_1': 'filter_str_eq', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_5': 'all_rows', 'nationality_6': 'nationality', 'usa_7': 'usa', 'position_8': 'position', 'rw_9': 'rw', '2_10': '2'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_str_eq_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'nationality_6': [0], 'usa_7': [0], 'position_8': [1], 'rw_9': [1], '2_10': [3]} | ['round', 'player', 'position', 'nationality', 'college / junior / club team ( league )'] | [['2', 'danny kristo', 'rw', 'usa', 'us national under - 18 team ( usdp )'], ['3', 'steve quailer', 'rw', 'usa', 'northeastern university ( hockey east )'], ['4', 'jason missiaen', 'g', 'canada', 'peterborough petes ( ohl )'], ['5', 'maxim trunev', 'f', 'russia', 'severstal cherepovets - 2 ( rus3 )'], ['7', 'patrick jo... |
junior assun \ xc3 \ xa7 \ xc3 \ xa3o | https://en.wikipedia.org/wiki/Junior_Assun%C3%A7%C3%A3o | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17441410-2.html.csv | count | eight of junior assunção 's fights took place in the location of georgia , united states . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'georgia', 'result': '8', 'col': '8', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'location', 'georgia'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose location record fuzzily matches to georgia .', 'tostr': 'filter_eq { all_rows ; location ; georgia }'}], 'result': '8', 'ind': 1, 'tostr':... | eq { count { filter_eq { all_rows ; location ; georgia } } ; 8 } = true | select the rows whose location record fuzzily matches to georgia . the number of such rows is 8 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'location_5': 5, 'georgia_6': 6, '8_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'location_5': 'location', 'georgia_6': 'georgia', '8_7': '8'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'location_5': [0], 'georgia_6': [0], '8_7': [2]} | ['res', 'record', 'opponent', 'method', 'event', 'round', 'time', 'location'] | [['win', '14 - 5', 'guilherme faria de souza', 'submission ( kimura )', 'premium fight championship 2', '4', '2:05', 'campinas , sao paulo , brazil'], ['loss', '13 - 5', 'ross pearson', 'decision ( unanimous )', 'ufc 141', '3', '5:00', 'las vegas , nevada , united states'], ['win', '13 - 4', 'eddie yagin', 'decision ( ... |
list of royal pains episodes | https://en.wikipedia.org/wiki/List_of_Royal_Pains_episodes | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-23117208-3.html.csv | comparative | more people watched the first episode of royal pains than watched the last episode . | {'row_1': '1', 'row_2': '14', 'col': '8', 'col_other': '2', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'no in season', '1'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose no in season record fuzzily matches to 1 .', 'tostr': 'filter_eq { all_rows ; no in season ; 1 }'}, 'viewers ( millions )'], 'result'... | greater { hop { filter_eq { all_rows ; no in season ; 1 } ; viewers ( millions ) } ; hop { filter_eq { all_rows ; no in season ; 16 } ; viewers ( millions ) } } = true | select the rows whose no in season record fuzzily matches to 1 . take the viewers ( millions ) record of this row . select the rows whose no in season record fuzzily matches to 16 . take the viewers ( millions ) record of this row . the first record is greater than the second record . | 5 | 5 | {'greater_4': 4, 'result_5': 5, 'num_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'no in season_7': 7, '1_8': 8, 'viewers (millions)_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'no in season_11': 11, '16_12': 12, 'viewers (millions)_13': 13} | {'greater_4': 'greater', 'result_5': 'true', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'no in season_7': 'no in season', '1_8': '1', 'viewers (millions)_9': 'viewers ( millions )', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'no in s... | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'no in season_7': [0], '1_8': [0], 'viewers (millions)_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'no in season_11': [1], '16_12': [1], 'viewers (millions)_13': [3]} | ['no in series', 'no in season', 'title', 'directed by', 'written by', 'original air date', 'prod code', 'viewers ( millions )'] | [['13', '1', 'spasticity', 'constantine makris', 'andrew lenchewski', 'june 3 , 2010', 'rp201', '5.84'], ['14', '2', 'lovesick', 'allison liddi - brown', 'michael rauch', 'june 10 , 2010', 'rp202', '5.60'], ['15', '3', 'keeping the faith', 'dennis smith', 'jack bernstein & michael rauch', 'june 17 , 2010', 'rp203', '5.... |
1998 - 99 philadelphia flyers season | https://en.wikipedia.org/wiki/1998%E2%80%9399_Philadelphia_Flyers_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14344807-6.html.csv | comparative | for the 1998-99 philadelphia flyers ' season , the flyers scored more points against their opponents in game 49 as opposed to game 55 . | {'row_1': '2', 'row_2': '8', 'col': '4', 'col_other': '1', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'game', '49'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose game record fuzzily matches to 49 .', 'tostr': 'filter_eq { all_rows ; game ; 49 }'}, 'score'], 'result': None, 'ind': 2, 'tostr': 'hop { fi... | greater { hop { filter_eq { all_rows ; game ; 49 } ; score } ; hop { filter_eq { all_rows ; game ; 55 } ; score } } = true | select the rows whose game record fuzzily matches to 49 . take the score record of this row . select the rows whose game record fuzzily matches to 55 . take the score record of this row . the first record is greater than the second record . | 5 | 5 | {'greater_4': 4, 'result_5': 5, 'str_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'game_7': 7, '49_8': 8, 'score_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'game_11': 11, '55_12': 12, 'score_13': 13} | {'greater_4': 'greater', 'result_5': 'true', 'str_hop_2': 'str_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'game_7': 'game', '49_8': '49', 'score_9': 'score', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'game_11': 'game', '55_12': '55', 'score_13': 'sco... | {'greater_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'game_7': [0], '49_8': [0], 'score_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'game_11': [1], '55_12': [1], 'score_13': [3]} | ['game', 'february', 'opponent', 'score', 'record', 'points'] | [['48', '1', 'los angeles kings', '4 - 2', '27 - 10 - 11', '65'], ['49', '4', 'montreal canadiens', '5 - 2', '28 - 10 - 11', '67'], ['50', '6', 'boston bruins', '2 - 2 ot', '28 - 10 - 12', '68'], ['51', '10', 'mighty ducks of anaheim', '4 - 5', '28 - 11 - 12', '68'], ['52', '11', 'los angeles kings', '3 - 4', '28 - 12 ... |
2007 - 08 guildford flames season | https://en.wikipedia.org/wiki/2007%E2%80%9308_Guildford_Flames_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15213262-8.html.csv | majority | for the 2007-08 guildford flames season , when it was a league competition , the majority of the time the venue was away . | {'scope': 'subset', 'col': '3', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'away', 'subset': {'col': '6', 'criterion': 'equal', 'value': 'league'}} | {'func': 'most_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'competition', 'league'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; competition ; league }', 'tointer': 'select the rows whose competition record fuzzily matches to league .'}, 'venue', 'away'], 'result': True, 'ind': 1, 't... | most_eq { filter_eq { all_rows ; competition ; league } ; venue ; away } = true | select the rows whose competition record fuzzily matches to league . for the venue records of these rows , most of them fuzzily match to away . | 2 | 2 | {'most_str_eq_1': 1, 'result_2': 2, 'filter_str_eq_0': 0, 'all_rows_3': 3, 'competition_4': 4, 'league_5': 5, 'venue_6': 6, 'away_7': 7} | {'most_str_eq_1': 'most_str_eq', 'result_2': 'true', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_3': 'all_rows', 'competition_4': 'competition', 'league_5': 'league', 'venue_6': 'venue', 'away_7': 'away'} | {'most_str_eq_1': [2], 'result_2': [], 'filter_str_eq_0': [1], 'all_rows_3': [0], 'competition_4': [0], 'league_5': [0], 'venue_6': [1], 'away_7': [1]} | ['date', 'opponent', 'venue', 'result', 'attendance', 'competition'] | [['3', 'sheffield scimitars', 'away', 'lost 2 - 3 ( so )', '425', 'league'], ['4', 'milton keynes lightning', 'home', 'lost 2 - 5', '1268', 'premier cup'], ['10', 'bracknell bees', 'home', 'lost 2 - 3 ( so )', '1748', 'league'], ['11', 'peterborough phantoms', 'away', 'lost 1 - 2', 'unknown', 'league'], ['17', 'milton ... |
sweeney todd : the demon barber of fleet street | https://en.wikipedia.org/wiki/Sweeney_Todd%3A_The_Demon_Barber_of_Fleet_Street | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1794747-7.html.csv | unique | outstanding featured actor in a musical was the only award that sweeney todd actor alexander gemignani was nominated for . | {'scope': 'all', 'row': '10', 'col': '3', 'col_other': '4', 'criterion': 'equal', 'value': 'outstanding featured actor in a musical', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'category', 'outstanding featured actor in a musical'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose category record fuzzily matches to outstanding featured actor in a musical .', 'tostr': 'filter_eq { all_r... | and { only { filter_eq { all_rows ; category ; outstanding featured actor in a musical } } ; eq { hop { filter_eq { all_rows ; category ; outstanding featured actor in a musical } ; nominee } ; alexander gemignani } } = true | select the rows whose category record fuzzily matches to outstanding featured actor in a musical . there is only one such row in the table . the nominee record of this unqiue row is alexander gemignani . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'category_7': 7, 'outstanding featured actor in a musical_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'nominee_9': 9, 'alexander gemignani_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'category_7': 'category', 'outstanding featured actor in a musical_8': 'outstanding featured actor in a musical', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'nominee_9': 'nominee', 'alexander gemignan... | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'category_7': [0], 'outstanding featured actor in a musical_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'nominee_9': [2], 'alexander gemignani_10': [3]} | ['year', 'award ceremony', 'category', 'nominee', 'result'] | [['2006', 'tony award', 'best revival of a musical', 'best revival of a musical', 'nominated'], ['2006', 'tony award', 'best performance by a leading actor in a musical', 'michael cerveris', 'nominated'], ['2006', 'tony award', 'best performance by a leading actress in a musical', 'patti lupone', 'nominated'], ['2006',... |
paul di resta | https://en.wikipedia.org/wiki/Paul_di_Resta | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1746765-1.html.csv | aggregation | paul di resta took part in a total of 198 races during his racing career . | {'scope': 'all', 'col': '4', 'type': 'sum', 'result': '198', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': ['all_rows', 'races'], 'result': '198', 'ind': 0, 'tostr': 'sum { all_rows ; races }'}, '198'], 'result': True, 'ind': 1, 'tostr': 'round_eq { sum { all_rows ; races } ; 198 } = true', 'tointer': 'the sum of the races record of all rows is 198 .'} | round_eq { sum { all_rows ; races } ; 198 } = true | the sum of the races record of all rows is 198 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'sum_0': 0, 'all_rows_3': 3, 'races_4': 4, '198_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'sum_0': 'sum', 'all_rows_3': 'all_rows', 'races_4': 'races', '198_5': '198'} | {'eq_1': [2], 'result_2': [], 'sum_0': [1], 'all_rows_3': [0], 'races_4': [0], '198_5': [1]} | ['season', 'series', 'team', 'races', 'wins', 'poles', 'f / laps', 'podiums', 'points', 'position'] | [['2003', 'formula renault uk', 'eurotek motorsport', '17', '1', '2', '1', '2', '233', '7th'], ['2003', 'formula renault uk', 'team jva', '17', '1', '2', '1', '2', '233', '7th'], ['2004', 'formula renault uk', 'manor motorsport', '20', '4', '4', '2', '9', '415', '3rd'], ['2004', 'formula renault 2000 eurocup', 'manor m... |
adam lambert | https://en.wikipedia.org/wiki/Adam_Lambert | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-21501511-1.html.csv | majority | for adam lambert the result in most of the weeks was that he was safe . | {'scope': 'all', 'col': '6', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'safe', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'result', 'safe'], 'result': True, 'ind': 0, 'tointer': 'for the result records of all rows , most of them fuzzily match to safe .', 'tostr': 'most_eq { all_rows ; result ; safe } = true'} | most_eq { all_rows ; result ; safe } = true | for the result records of all rows , most of them fuzzily match to safe . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'result_3': 3, 'safe_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'result_3': 'result', 'safe_4': 'safe'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'result_3': [0], 'safe_4': [0]} | ['week', 'theme', 'song choice', 'original artist', 'order', 'result'] | [['audition', "auditioner 's choice", 'rock with you bohemian rhapsody', 'michael jackson queen', 'n / a', 'advanced'], ['hollywood', 'first solo', "what 's up", '4 non blondes', 'n / a', 'advanced'], ['hollywood', 'group performance', 'some kind of wonderful', 'soul brothers six', 'n / a', 'advanced'], ['hollywood', '... |
indiana high school athletics conferences : allen county - metropolitan | https://en.wikipedia.org/wiki/Indiana_High_School_Athletics_Conferences%3A_Allen_County_%E2%80%93_Metropolitan | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-13986492-13.html.csv | unique | yorktown was the only school who had the tiger as its mascot . | {'scope': 'all', 'row': '8', 'col': '3', 'col_other': '1', 'criterion': 'equal', 'value': 'tigers', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'mascot', 'tigers'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose mascot record fuzzily matches to tigers .', 'tostr': 'filter_eq { all_rows ; mascot ; tigers }'}], 'result': True, 'ind': 1, 'tostr': 'only {... | and { only { filter_eq { all_rows ; mascot ; tigers } } ; eq { hop { filter_eq { all_rows ; mascot ; tigers } ; school } ; yorktown } } = true | select the rows whose mascot record fuzzily matches to tigers . there is only one such row in the table . the school record of this unqiue row is yorktown . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'mascot_7': 7, 'tigers_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'school_9': 9, 'yorktown_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'mascot_7': 'mascot', 'tigers_8': 'tigers', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'school_9': 'school', 'yorktown_10': 'yorktown'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'mascot_7': [0], 'tigers_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'school_9': [2], 'yorktown_10': [3]} | ['school', 'location', 'mascot', 'enrollment', 'ihsaa class', 'ihsaa football class', 'county'] | [['muncie delta', 'muncie', 'eagles', '863', 'aaa', 'aaaa', '18 delaware'], ['greenfield central', 'greenfield', 'cougars', '1410', 'aaaa', 'aaaa', '30 hancock'], ['mount vernon fortville', 'fortville', 'marauders', '1077', 'aaa', 'aaaa', '30 hancock'], ['new palestine', 'new palestine', 'dragons', '1092', 'aaaa', 'aaa... |
usa today all - usa high school baseball team | https://en.wikipedia.org/wiki/USA_Today_All-USA_high_school_baseball_team | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-11677100-4.html.csv | unique | the only outfielder on the usa today all-usa team was chip ambres . | {'scope': 'all', 'row': '8', 'col': '2', 'col_other': '1', 'criterion': 'equal', 'value': 'outfielder', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'position', 'outfielder'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose position record fuzzily matches to outfielder .', 'tostr': 'filter_eq { all_rows ; position ; outfielder }'}], 'result': True, 'ind': 1... | and { only { filter_eq { all_rows ; position ; outfielder } } ; eq { hop { filter_eq { all_rows ; position ; outfielder } ; player } ; chip ambres } } = true | select the rows whose position record fuzzily matches to outfielder . there is only one such row in the table . the player record of this unqiue row is chip ambres . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'position_7': 7, 'outfielder_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'player_9': 9, 'chip ambres_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'position_7': 'position', 'outfielder_8': 'outfielder', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'player_9': 'player', 'chip ambres_10': 'chip ambres'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'position_7': [0], 'outfielder_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'player_9': [2], 'chip ambres_10': [3]} | ['player', 'position', 'school', 'hometown', 'mlb draft'] | [['drew henson', 'infielder', 'brighton high school', 'brighton , mi', '3rd round - 97th pick of 1998 draft ( yankees )'], ['josh beckett', 'pitcher', 'spring high school', 'spring , tx', 'beckett was a junior in the 1998 season'], ['j m gold', 'pitcher', 'toms river high school north', 'toms river , nj', '1st round - ... |
miami dade college | https://en.wikipedia.org/wiki/Miami_Dade_College | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1860065-2.html.csv | ordinal | the kendall campus of the miami dade college is the second largest in area size . | {'row': '4', 'col': '4', 'order': '2', 'col_other': '1', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'size', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; size ; 2 }'}, 'campus'], 'result': 'kendall campus', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; size ; 2 } ; campus }'}, 'kendall campus']... | eq { hop { nth_argmax { all_rows ; size ; 2 } ; campus } ; kendall campus } = true | select the row whose size record of all rows is 2nd maximum . the campus record of this row is kendall campus . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'size_5': 5, '2_6': 6, 'campus_7': 7, 'kendall campus_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmax_0': 'nth_argmax', 'all_rows_4': 'all_rows', 'size_5': 'size', '2_6': '2', 'campus_7': 'campus', 'kendall campus_8': 'kendall campus'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'size_5': [0], '2_6': [0], 'campus_7': [1], 'kendall campus_8': [2]} | ['campus', 'year opened', 'students', 'size', 'location'] | [['hialeah campus', '1980 2005 ( official designation )', 'na', '8 acres', 'hialeah'], ['homestead campus', '1990', 'na', '18 acres', 'downtown homestead'], ['interamerican campus', '1986 2001 ( official designation )', '6500', '4 acres', 'little havana , miami'], ['kendall campus', '1967', '66500', '185 acres', 'kenda... |
united states house of representatives elections , 1940 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1940 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1342270-43.html.csv | count | there are 15 incumbents that were re - elected in the 1940 united states house of representatives elections . | {'scope': 'all', 'criterion': 'equal', 'value': 're - elected', 'result': '15', 'col': '5', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'result', 're - elected'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose result record fuzzily matches to re - elected .', 'tostr': 'filter_eq { all_rows ; result ; re - elected }'}], 'result': '15', 'ind': 1... | eq { count { filter_eq { all_rows ; result ; re - elected } } ; 15 } = true | select the rows whose result record fuzzily matches to re - elected . the number of such rows is 15 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'result_5': 5, 're - elected_6': 6, '15_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'result_5': 'result', 're - elected_6': 're - elected', '15_7': '15'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'result_5': [0], 're - elected_6': [0], '15_7': [2]} | ['district', 'incumbent', 'party', 'first elected', 'result', 'candidates'] | [['texas 1', 'wright patman', 'democratic', '1928', 're - elected', 'wright patman ( d ) unopposed'], ['texas 2', 'martin dies , jr', 'democratic', '1930', 're - elected', 'martin dies , jr ( d ) unopposed'], ['texas 3', 'lindley beckworth', 'democratic', '1938', 're - elected', 'lindley beckworth ( d ) unopposed'], ['... |
list of lancashire county cricket club records | https://en.wikipedia.org/wiki/List_of_Lancashire_County_Cricket_Club_records | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14176339-7.html.csv | ordinal | 1985 is the 4th earliest year in which a lancashire county cricked record was recorded . | {'row': '4', 'col': '5', 'order': '4', 'col_other': 'n/a', 'max_or_min': 'min_to_max', 'value_mentioned': 'yes', 'scope': 'all', 'subset': None} | {'func': 'eq', 'args': [{'func': 'nth_min', 'args': ['all_rows', 'year', '4'], 'result': '1985', 'ind': 0, 'tostr': 'nth_min { all_rows ; year ; 4 }', 'tointer': 'the 4th minimum year record of all rows is 1985 .'}, '1985'], 'result': True, 'ind': 1, 'tostr': 'eq { nth_min { all_rows ; year ; 4 } ; 1985 } = true', 'toi... | eq { nth_min { all_rows ; year ; 4 } ; 1985 } = true | the 4th minimum year record of all rows is 1985 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'nth_min_0': 0, 'all_rows_3': 3, 'year_4': 4, '4_5': 5, '1985_6': 6} | {'eq_1': 'eq', 'result_2': 'true', 'nth_min_0': 'nth_min', 'all_rows_3': 'all_rows', 'year_4': 'year', '4_5': '4', '1985_6': '1985'} | {'eq_1': [2], 'result_2': [], 'nth_min_0': [1], 'all_rows_3': [0], 'year_4': [0], '4_5': [0], '1985_6': [1]} | ['score', 'opposition', 'venue', 'city', 'year'] | [['423 runs', 'somerset', 'aigurth', 'liverpool', '1911'], ['385 runs', 'somerset', 'aigburth', 'liverpool', '1908'], ['372 runs', 'worcestershire', 'amblecote', 'stourbridge', '1911'], ['370 runs', 'oxford university', 'the university parks', 'oxford', '1985'], ['361 runs', 'middlesex', 'old trafford', 'manchester', '... |
list of how it 's made episodes | https://en.wikipedia.org/wiki/List_of_How_It%27s_Made_episodes | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-15187735-9.html.csv | unique | the only time how it 's made featured cheesecake in the ninth season was in the first episode . | {'scope': 'all', 'row': '1', 'col': '5', 'col_other': '1', 'criterion': 'equal', 'value': 'cheesecake', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'segment b', 'cheesecake'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose segment b record fuzzily matches to cheesecake .', 'tostr': 'filter_eq { all_rows ; segment b ; cheesecake }'}], 'result': True, 'ind'... | and { only { filter_eq { all_rows ; segment b ; cheesecake } } ; eq { hop { filter_eq { all_rows ; segment b ; cheesecake } ; series ep } ; 9 - 01 } } = true | select the rows whose segment b record fuzzily matches to cheesecake . there is only one such row in the table . the series ep record of this unqiue row is 9 - 01 . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'segment b_7': 7, 'cheesecake_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'series ep_9': 9, '9 - 01_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'segment b_7': 'segment b', 'cheesecake_8': 'cheesecake', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'series ep_9': 'series ep', '9 - 01_10': '9 - 01'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'segment b_7': [0], 'cheesecake_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'series ep_9': [2], '9 - 01_10': [3]} | ['series ep', 'episode', 'netflix', 'segment a', 'segment b', 'segment c', 'segment d'] | [['9 - 01', '105', 's05e01', 'solid tires', 'cheesecake', 'canoe paddles', 's globe'], ['9 - 02', '106', 's05e02', 'boomerangs', 'barbecues', 'pinball machines', 'strobe lights'], ['9 - 03', '107', 's05e03', 'wooden bowls', 'chainsaws', 'stackable potato chips', 'jet compressor blades'], ['9 - 04', '108', 's05e04', 'st... |
special cities of japan | https://en.wikipedia.org/wiki/Special_cities_of_Japan | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1585609-2.html.csv | count | two of the special cities of japan belong to the kansai region . | {'scope': 'all', 'criterion': 'equal', 'value': 'kansai', 'result': '2', 'col': '5', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'region', 'kansai'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose region record fuzzily matches to kansai .', 'tostr': 'filter_eq { all_rows ; region ; kansai }'}], 'result': '2', 'ind': 1, 'tostr': 'count {... | eq { count { filter_eq { all_rows ; region ; kansai } } ; 2 } = true | select the rows whose region record fuzzily matches to kansai . the number of such rows is 2 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'region_5': 5, 'kansai_6': 6, '2_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'region_5': 'region', 'kansai_6': 'kansai', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'region_5': [0], 'kansai_6': [0], '2_7': [2]} | ['name', 'japanese', 'date of designation', 'date of reclassification', 'region', 'prefecture'] | [['hakodate', '函館', '2000 - 11 - 01', '2005 - 10 - 01 ( core city )', 'hokkaido', 'hokkaido'], ['shimizu', '清水', '2001 - 04 - 01', '2003 - 04 - 01 ( merge into shizuoka )', 'chūbu', 'shizuoka'], ['shimonoseki', '下関', '2002 - 04 - 01', '2005 - 02 - 12 ( core city )', 'chūgoku', 'yamaguchi'], ['morioka', '盛岡', '2000 - 11... |
1927 vfl season | https://en.wikipedia.org/wiki/1927_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10747009-9.html.csv | superlative | the highest away team score during this round of the 1927 vfl season was 15.9 ( 99 ) . | {'scope': 'all', 'col_superlative': '4', 'row_superlative': '2', 'value_mentioned': 'yes', 'max_or_min': 'max', 'other_col': 'n/a', 'subset': None} | {'func': 'eq', 'args': [{'func': 'max', 'args': ['all_rows', 'away team score'], 'result': '15.9 ( 99 )', 'ind': 0, 'tostr': 'max { all_rows ; away team score }', 'tointer': 'the maximum away team score record of all rows is 15.9 ( 99 ) .'}, '15.9 ( 99 )'], 'result': True, 'ind': 1, 'tostr': 'eq { max { all_rows ; away... | eq { max { all_rows ; away team score } ; 15.9 ( 99 ) } = true | the maximum away team score record of all rows is 15.9 ( 99 ) . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'max_0': 0, 'all_rows_3': 3, 'away team score_4': 4, '15.9 (99)_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'max_0': 'max', 'all_rows_3': 'all_rows', 'away team score_4': 'away team score', '15.9 (99)_5': '15.9 ( 99 )'} | {'eq_1': [2], 'result_2': [], 'max_0': [1], 'all_rows_3': [0], 'away team score_4': [0], '15.9 (99)_5': [1]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['hawthorn', '9.6 ( 60 )', 'richmond', '9.20 ( 74 )', 'glenferrie oval', '10000', '25 june 1927'], ['essendon', '12.12 ( 84 )', 'south melbourne', '15.9 ( 99 )', 'windy hill', '17000', '25 june 1927'], ['st kilda', '15.7 ( 97 )', 'north melbourne', '13.10 ( 88 )', 'junction oval', '13000', '25 june 1927'], ['melbourne... |
1980 los angeles rams season | https://en.wikipedia.org/wiki/1980_Los_Angeles_Rams_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11157290-2.html.csv | ordinal | in the 1980 los angeles rams season , the 3rd game played in october was a win against the san francisco 49ers . | {'scope': 'subset', 'row': '7', 'col': '1', 'order': '3', 'col_other': '3,4', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'subset': {'col': '2', 'criterion': 'fuzzily_match', 'value': 'october'}} | {'func': 'and', 'args': [{'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'date', 'october'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; date ; october }', 'tointer': 'select the rows whose date record fuzzily matches... | and { eq { hop { nth_argmin { filter_eq { all_rows ; date ; october } ; week ; 3 } ; opponent } ; san francisco 49ers } ; eq { hop { nth_argmin { filter_eq { all_rows ; date ; october } ; week ; 3 } ; result } ; w 31 - 17 } } = true | select the rows whose date record fuzzily matches to october . select the row whose week record of these rows is 3rd minimum . the opponent record of this row is san francisco 49ers . the result record of this row is w 31 - 17 . | 9 | 7 | {'and_6': 6, 'result_7': 7, 'str_eq_3': 3, 'str_hop_2': 2, 'nth_argmin_1': 1, 'filter_str_eq_0': 0, 'all_rows_8': 8, 'date_9': 9, 'october_10': 10, 'week_11': 11, '3_12': 12, 'opponent_13': 13, 'san francisco 49ers_14': 14, 'str_eq_5': 5, 'str_hop_4': 4, 'result_15': 15, 'w 31 - 17_16': 16} | {'and_6': 'and', 'result_7': 'true', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'nth_argmin_1': 'nth_argmin', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_8': 'all_rows', 'date_9': 'date', 'october_10': 'october', 'week_11': 'week', '3_12': '3', 'opponent_13': 'opponent', 'san francisco 49ers_14': 'san francisco 49... | {'and_6': [7], 'result_7': [], 'str_eq_3': [6], 'str_hop_2': [3], 'nth_argmin_1': [2, 4], 'filter_str_eq_0': [1], 'all_rows_8': [0], 'date_9': [0], 'october_10': [0], 'week_11': [1], '3_12': [1], 'opponent_13': [2], 'san francisco 49ers_14': [3], 'str_eq_5': [6], 'str_hop_4': [5], 'result_15': [4], 'w 31 - 17_16': [5]} | ['week', 'date', 'opponent', 'result', 'attendance'] | [['1', 'september 7 , 1980', 'detroit lions', 'l 41 - 20', '64892'], ['2', 'september 11 , 1980', 'tampa bay buccaneers', 'l 10 - 9', '66576'], ['3', 'september 21 , 1980', 'green bay packers', 'w 51 - 21', '63850'], ['4', 'september 28 , 1980', 'new york giants', 'w 28 - 7', '73414'], ['5', 'october 5 , 1980', 'san fr... |
95th united states congress | https://en.wikipedia.org/wiki/95th_United_States_Congress | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1013168-3.html.csv | comparative | bob livingston was seated as a successor earlier than robert garcia in the 95th united states congress . | {'row_1': '1', 'row_2': '2', 'col': '5', 'col_other': '4', 'relation': 'less', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'less', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'successor', 'bob livingston ( r )'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose successor record fuzzily matches to bob livingston ( r ) .', 'tostr': 'filter_eq { all_rows ; successor ; bob livingston... | less { hop { filter_eq { all_rows ; successor ; bob livingston ( r ) } ; date successor seated } ; hop { filter_eq { all_rows ; successor ; robert garcía ( d ) } ; date successor seated } } = true | select the rows whose successor record fuzzily matches to bob livingston ( r ) . take the date successor seated record of this row . select the rows whose successor record fuzzily matches to robert garcía ( d ) . take the date successor seated record of this row . the first record is less than the second record . | 5 | 5 | {'less_4': 4, 'result_5': 5, 'str_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'successor_7': 7, 'bob livingston (r)_8': 8, 'date successor seated_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'successor_11': 11, 'robert garcía (d)_12': 12, 'date successor seated_13': 13} | {'less_4': 'less', 'result_5': 'true', 'str_hop_2': 'str_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'successor_7': 'successor', 'bob livingston (r)_8': 'bob livingston ( r )', 'date successor seated_9': 'date successor seated', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_ro... | {'less_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'successor_7': [0], 'bob livingston (r)_8': [0], 'date successor seated_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'successor_11': [1], 'robert garcía (d)_12': [1], 'date successor seated_13': [3]} | ['district', 'vacator', 'reason for change', 'successor', 'date successor seated'] | [['louisiana 1st', 'richard a tonry ( d )', 'forced to resign may 4 , 1977', 'bob livingston ( r )', 'august 27 , 1977'], ['new york 21st', 'robert garcía ( r - l )', 'changed parties february 21 , 1978', 'robert garcía ( d )', 'february 21 , 1978'], ['tennessee 5th', 'clifford allen ( d )', 'died june 18 , 1978', 'vac... |
2010 f \ xc3 \ xb3rmula truck season | https://en.wikipedia.org/wiki/2010_F%C3%B3rmula_Truck_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-29361707-2.html.csv | count | roberval andrade was the winning driver 4 times in the 2010 formula truck season . | {'scope': 'all', 'criterion': 'equal', 'value': 'roberval andrade', 'result': '4', 'col': '6', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'winning driver', 'roberval andrade'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose winning driver record fuzzily matches to roberval andrade .', 'tostr': 'filter_eq { all_rows ; winning driver ; roberval an... | eq { count { filter_eq { all_rows ; winning driver ; roberval andrade } } ; 4 } = true | select the rows whose winning driver record fuzzily matches to roberval andrade . the number of such rows is 4 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'winning driver_5': 5, 'roberval andrade_6': 6, '4_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'winning driver_5': 'winning driver', 'roberval andrade_6': 'roberval andrade', '4_7': '4'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'winning driver_5': [0], 'roberval andrade_6': [0], '4_7': [2]} | ['round', 'circuit', 'date', 'pole position', 'fastest lap', 'winning driver', 'winning team'] | [['1', 'autódromo internacional de guaporé', 'march 7', 'roberval andrade', 'felipe giaffone', 'felipe giaffone', 'rm competições'], ['2', 'autódromo internacional nelson piquet', 'april 18', 'danilo dirani', 'danilo dirani', 'roberval andrade', 'rvr corinthians motorsport'], ['3', 'autódromo ayrton senna , caruaru', '... |
united states house of representatives elections , 1828 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1828 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-2668243-25.html.csv | ordinal | john roane is the incumbent with the earliest first elected year among the incumbents of the 1828 house of representatives elections . | {'row': '9', 'col': '4', 'order': '1', 'col_other': '2', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'first elected', '1'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; first elected ; 1 }'}, 'incumbent'], 'result': 'john roane', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; first elected ; 1 } ; inc... | eq { hop { nth_argmin { all_rows ; first elected ; 1 } ; incumbent } ; john roane } = true | select the row whose first elected record of all rows is 1st minimum . the incumbent record of this row is john roane . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'first elected_5': 5, '1_6': 6, 'incumbent_7': 7, 'john roane_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmin_0': 'nth_argmin', 'all_rows_4': 'all_rows', 'first elected_5': 'first elected', '1_6': '1', 'incumbent_7': 'incumbent', 'john roane_8': 'john roane'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'first elected_5': [0], '1_6': [0], 'incumbent_7': [1], 'john roane_8': [2]} | ['district', 'incumbent', 'party', 'first elected', 'result', 'candidates'] | [['virginia 2', 'james trezvant', 'jacksonian', '1825', 're - elected', 'james trezvant ( j ) 100 %'], ['virginia 3', 'william s archer', 'jacksonian', '1820 ( special )', 're - elected', 'william s archer ( j ) 100 %'], ['virginia 4', 'mark alexander', 'jacksonian', '1819', 're - elected', 'mark alexander ( j ) 100 %'... |
iron fist ( album ) | https://en.wikipedia.org/wiki/Iron_Fist_%28album%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1620364-2.html.csv | count | there were three versions of the album iron fist that were released by the label bronze . | {'scope': 'all', 'criterion': 'equal', 'value': 'bronze', 'result': '4', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'label', 'bronze'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose label record fuzzily matches to bronze .', 'tostr': 'filter_eq { all_rows ; label ; bronze }'}], 'result': '4', 'ind': 1, 'tostr': 'count { fi... | eq { count { filter_eq { all_rows ; label ; bronze } } ; 4 } = true | select the rows whose label record fuzzily matches to bronze . the number of such rows is 4 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'label_5': 5, 'bronze_6': 6, '4_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'label_5': 'label', 'bronze_6': 'bronze', '4_7': '4'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'label_5': [0], 'bronze_6': [0], '4_7': [2]} | ['date', 'region', 'label', 'catalogue', 'format'] | [['17 april 1982', 'uk', 'bronze', 'bron 539', 'vinyl'], ['17 april 1982', 'north america', 'mercury', 'srm - 1 - 4042', 'vinyl'], ['1982', 'france', 'wea filipacchi music', '893048', 'vinyl'], ['1982', 'germany', 'bronze', '204 636', 'vinyl'], ['21 / dec / 1982', 'yugoslavia', 'jugoton', 'lsbro 11019', 'vinyl'], ['198... |
1996 - 97 atlanta hawks season | https://en.wikipedia.org/wiki/1996%E2%80%9397_Atlanta_Hawks_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18493040-9.html.csv | superlative | in april of the 1996-97 season , the atlanta hawks ' april 2 game had the highest attendance . | {'scope': 'all', 'col_superlative': '5', 'row_superlative': '1', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '2', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'location attendance'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; location attendance }'}, 'date'], 'result': 'april 2', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; location attendance } ; date }'}, 'april 2... | eq { hop { argmax { all_rows ; location attendance } ; date } ; april 2 } = true | select the row whose location attendance record of all rows is maximum . the date record of this row is april 2 . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'location attendance_5': 5, 'date_6': 6, 'april 2_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'location attendance_5': 'location attendance', 'date_6': 'date', 'april 2_7': 'april 2'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'location attendance_5': [0], 'date_6': [1], 'april 2_7': [2]} | ['game', 'date', 'opponent', 'score', 'location attendance', 'record'] | [['73', 'april 2', 'charlotte hornets', 'l 84 - 95', 'charlotte coliseum 24042', '50 - 23'], ['game', 'date', 'opponent', 'score', 'location attendance', 'record'], ['74', 'april 4', 'detroit pistons', 'w 103 - 89', 'omni coliseum 16378', '51 - 23'], ['75', 'april 5', 'new york knicks', 'l 97 - 102', 'omni coliseum 163... |
1996 - 97 segunda división | https://en.wikipedia.org/wiki/1996%E2%80%9397_Segunda_Divisi%C3%B3n | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12090729-2.html.csv | majority | most of the clubs among the 1996-97 segunda division had wins below 20 . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'less_than', 'value': '20', 'subset': None} | {'func': 'most_less', 'args': ['all_rows', 'wins', '20'], 'result': True, 'ind': 0, 'tointer': 'for the wins records of all rows , most of them are less than 20 .', 'tostr': 'most_less { all_rows ; wins ; 20 } = true'} | most_less { all_rows ; wins ; 20 } = true | for the wins records of all rows , most of them are less than 20 . | 1 | 1 | {'most_less_0': 0, 'result_1': 1, 'all_rows_2': 2, 'wins_3': 3, '20_4': 4} | {'most_less_0': 'most_less', 'result_1': 'true', 'all_rows_2': 'all_rows', 'wins_3': 'wins', '20_4': '20'} | {'most_less_0': [1], 'result_1': [], 'all_rows_2': [0], 'wins_3': [0], '20_4': [0]} | ['position', 'club', 'played', 'points', 'wins', 'draws', 'losses', 'goals for', 'goals against', 'goal difference'] | [['1', 'cp mérida', '38', '72', '21', '9', '8', '57', '35', '+ 22'], ['2', 'ud salamanca', '38', '71', '20', '11', '7', '72', '33', '+ 39'], ['3', 'rcd mallorca', '38', '70', '20', '10', '8', '59', '38', '+ 21'], ['4', 'albacete', '38', '66', '19', '9', '10', '51', '32', '+ 19'], ['5', 'sd eibar', '38', '66', '17', '15... |
zakspeed | https://en.wikipedia.org/wiki/Zakspeed | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1219581-1.html.csv | majority | the zakspeed motor racing team used g type tyres in the majority of the years . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'g', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'tyres', 'g'], 'result': True, 'ind': 0, 'tointer': 'for the tyres records of all rows , most of them fuzzily match to g .', 'tostr': 'most_eq { all_rows ; tyres ; g } = true'} | most_eq { all_rows ; tyres ; g } = true | for the tyres records of all rows , most of them fuzzily match to g . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'tyres_3': 3, 'g_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'tyres_3': 'tyres', 'g_4': 'g'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'tyres_3': [0], 'g_4': [0]} | ['year', 'chassis', 'engine ( s )', 'tyres', 'points'] | [['1985', 'zakspeed 841', 'zakspeed s4 t / c', 'g', '0'], ['1986', 'zakspeed 861', 'zakspeed s4 t / c', 'g', '0'], ['1987', 'zakspeed 861 zakspeed 871', 'zakspeed s4 t / c', 'g', '2'], ['1988', 'zakspeed 881', 'zakspeed s4 t / c', 'g', '0'], ['1989', 'zakspeed 891', 'yamaha v8', 'p', '0']] |
list of top 10 singles in 2010 ( scotland ) | https://en.wikipedia.org/wiki/List_of_Top_10_singles_in_2010_%28Scotland%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-27813010-2.html.csv | count | 4 of the singles in the top 10 singles in 2010 peaked at number 1 . | {'scope': 'all', 'criterion': 'equal', 'value': '1', 'result': '4', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'peak', '1'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose peak record is equal to 1 .', 'tostr': 'filter_eq { all_rows ; peak ; 1 }'}], 'result': '4', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; peak ; 1... | eq { count { filter_eq { all_rows ; peak ; 1 } } ; 4 } = true | select the rows whose peak record is equal to 1 . the number of such rows is 4 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_eq_0': 0, 'all_rows_4': 4, 'peak_5': 5, '1_6': 6, '4_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_eq_0': 'filter_eq', 'all_rows_4': 'all_rows', 'peak_5': 'peak', '1_6': '1', '4_7': '4'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_eq_0': [1], 'all_rows_4': [0], 'peak_5': [0], '1_6': [0], '4_7': [2]} | ['entry date', 'single', 'artist', 'peak', 'peak reached', 'weeks in top 10'] | [['31 october', 'meet me halfway', 'the black eyed peas', '1', '21 november', '11'], ['7 november', 'bad romance', 'lady gaga', '1', '19 december', '12'], ['5 december', 'the official bbc children in need medley', 'peter kay', '1', '5 december', '5'], ['5 december', 'russian roulette', 'rihanna', '3', '12 december', '6... |
bangladesh navy | https://en.wikipedia.org/wiki/Bangladesh_Navy | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1348246-3.html.csv | majority | for the serial & branch numbered 1 through 8 for the bangladesh navy , the majority of the seaman have a title that includes the words petty officer . | {'scope': 'all', 'col': '2', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'petty officer', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'seaman', 'petty officer'], 'result': True, 'ind': 0, 'tointer': 'for the seaman records of all rows , most of them fuzzily match to petty officer .', 'tostr': 'most_eq { all_rows ; seaman ; petty officer } = true'} | most_eq { all_rows ; seaman ; petty officer } = true | for the seaman records of all rows , most of them fuzzily match to petty officer . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'seaman_3': 3, 'petty officer_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'seaman_3': 'seaman', 'petty officer_4': 'petty officer'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'seaman_3': [0], 'petty officer_4': [0]} | ['serial & branch', 'seaman', 'mechanical', 'secretariat', 'supply', 'electrical', 'radio electrical', 'regulating', 'medical'] | [['1', 'od ( ordinary seaman )', 'me ii', 'wtr ii', 'sa ii', 'en ii', 'ren ii', 'pm ii', 'ma ii'], ['2', 'ab ( able seaman )', 'me i', 'wtr i', 'sa i', 'en i', 'ren i', 'pm i', 'ma i'], ['3', 'ls ( leading seaman )', 'lme', 'lwtr', 'lsa', 'len', 'lren', 'lpm', 'lma'], ['4', 'po ( petty officer )', 'era - iv', 'po ( w )... |
locomotives of the north british railway | https://en.wikipedia.org/wiki/Locomotives_of_the_North_British_Railway | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16062061-3.html.csv | aggregation | there were 14 locomotives of the north british railway fully built during the year 1873 . | {'scope': 'subset', 'col': '4', 'type': 'sum', 'result': '14', 'subset': {'col': '6', 'criterion': 'equal', 'value': '1873'}} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'date', '1873'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; date ; 1873 }', 'tointer': 'select the rows whose date record is equal to 1873 .'}, 'no built'], 'result': '14', 'ind': 1, 'tostr': 'sum { filter_... | round_eq { sum { filter_eq { all_rows ; date ; 1873 } ; no built } ; 14 } = true | select the rows whose date record is equal to 1873 . the sum of the no built record of these rows is 14 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'sum_1': 1, 'filter_eq_0': 0, 'all_rows_4': 4, 'date_5': 5, '1873_6': 6, 'no built_7': 7, '14_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'sum_1': 'sum', 'filter_eq_0': 'filter_eq', 'all_rows_4': 'all_rows', 'date_5': 'date', '1873_6': '1873', 'no built_7': 'no built', '14_8': '14'} | {'eq_2': [3], 'result_3': [], 'sum_1': [2], 'filter_eq_0': [1], 'all_rows_4': [0], 'date_5': [0], '1873_6': [0], 'no built_7': [1], '14_8': [2]} | ['1st built', '1913 class', 'wa', 'no built', 'builder', 'date', 'lner class'] | [['141', '-', '2 - 4 - 0', '2', 'nbr cowlairs', '1869', '-'], ['418', 'p', '2 - 4 - 0', '8', 'nbr cowlairs', '1873', 'e7'], ['40', '-', '2 - 4 - 0', '2', 'nbr cowlairs', '1873', '-'], ['224', '-', '4 - 4 - 0', '2', 'nbr cowlairs', '1871', '-'], ['420', '-', '4 - 4 - 0', '4', 'nbr cowlairs', '1873', '-'], ['17', '-', '0... |
eurovision dance contest 2007 | https://en.wikipedia.org/wiki/Eurovision_Dance_Contest_2007 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10530468-1.html.csv | count | among the dance styles in eurovision dance contest 2007 , rumba was used 5 times . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'rumba', 'result': '5', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'dance styles', 'rumba'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose dance styles record fuzzily matches to rumba .', 'tostr': 'filter_eq { all_rows ; dance styles ; rumba }'}], 'result': '5', 'ind': 1, 't... | eq { count { filter_eq { all_rows ; dance styles ; rumba } } ; 5 } = true | select the rows whose dance styles record fuzzily matches to rumba . the number of such rows is 5 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'dance styles_5': 5, 'rumba_6': 6, '5_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'dance styles_5': 'dance styles', 'rumba_6': 'rumba', '5_7': '5'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'dance styles_5': [0], 'rumba_6': [0], '5_7': [2]} | ['draw', 'dancers', 'dance styles', 'place', 'points'] | [['01', 'denise biellmann & sven ninnemann', 'paso doble and swing', '16', '0'], ['02', 'mariya sittel & vladislav borodinov', 'rumba and paso doble', '7', '72'], ['03', 'alexandra matteman & redmond valk', 'cha - cha - cha and rumba', '12', '34'], ['04', 'camilla dallerup & brendan cole', 'rumba and freestyle', '15', ... |
roman catholic archdiocese of santa fe | https://en.wikipedia.org/wiki/Roman_Catholic_Archdiocese_of_Santa_Fe | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1656555-1.html.csv | superlative | of the archbishops in the roman catholic archdiocese of santa fe , the one who was born the earliest was jean baptiste lamy . | {'scope': 'all', 'col_superlative': '2', 'row_superlative': '1', 'value_mentioned': 'no', 'max_or_min': 'min', 'other_col': '1', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmin', 'args': ['all_rows', 'born'], 'result': None, 'ind': 0, 'tostr': 'argmin { all_rows ; born }'}, 'archbishop'], 'result': 'jean baptiste lamy', 'ind': 1, 'tostr': 'hop { argmin { all_rows ; born } ; archbishop }'}, 'jean baptiste lamy'], 'result... | eq { hop { argmin { all_rows ; born } ; archbishop } ; jean baptiste lamy } = true | select the row whose born record of all rows is minimum . the archbishop record of this row is jean baptiste lamy . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmin_0': 0, 'all_rows_4': 4, 'born_5': 5, 'archbishop_6': 6, 'jean baptiste lamy_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmin_0': 'argmin', 'all_rows_4': 'all_rows', 'born_5': 'born', 'archbishop_6': 'archbishop', 'jean baptiste lamy_7': 'jean baptiste lamy'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmin_0': [1], 'all_rows_4': [0], 'born_5': [0], 'archbishop_6': [1], 'jean baptiste lamy_7': [2]} | ['archbishop', 'born', 'ordained priest', 'ordained bishop', 'appointed archbishop', 'vacated throne', 'died'] | [['jean baptiste lamy', 'october 11 , 1814', 'december 1838', 'november 24 , 1850', 'february 12 , 1875', 'august 18 , 1885', 'february 13 , 1888'], ['jean baptiste salpointe', 'february 22 , 1825', 'december 20 , 1851', 'june 20 , 1869', 'august 18 , 1885', 'january 7 , 1894', 'july 15 , 1898'], ['placide louis chapel... |
doctor who ( series 1 ) | https://en.wikipedia.org/wiki/Doctor_Who_%28series_1%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-18012738-1.html.csv | count | five episodes of doctor who ( series 1 ) were aired in april 2005 . | {'scope': 'all', 'criterion': 'equal', 'value': 'april 2005', 'result': '5', 'col': '8', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'original air date', 'april 2005'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose original air date record fuzzily matches to april 2005 .', 'tostr': 'filter_eq { all_rows ; original air date ; april 2005 }'}... | eq { count { filter_eq { all_rows ; original air date ; april 2005 } } ; 5 } = true | select the rows whose original air date record fuzzily matches to april 2005 . the number of such rows is 5 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'original air date_5': 5, 'april 2005_6': 6, '5_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'original air date_5': 'original air date', 'april 2005_6': 'april 2005', '5_7': '5'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'original air date_5': [0], 'april 2005_6': [0], '5_7': [2]} | ['story no', 'episode', 'title', 'directed by', 'written by', 'uk viewers ( million )', 'ai ( % )', 'original air date', 'production code'] | [['157', '1', 'rose', 'keith boak', 'russell t davies', '10.81', '81', '26 march 2005', '1.1'], ['158', '2', 'the end of the world', 'euros lyn', 'russell t davies', '7.97', '79', '2 april 2005', '1.2'], ['159', '3', 'the unquiet dead', 'euros lyn', 'mark gatiss', '8.86', '80', '9 april 2005', '1.3'], ['160a', '4', 'al... |
list of tvb series ( 1998 ) | https://en.wikipedia.org/wiki/List_of_TVB_series_%281998%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18493407-1.html.csv | ordinal | the tvb series " journey to the west ii " had the third highest number of episodes in 1998 . | {'row': '9', 'col': '3', 'order': '3', 'col_other': '2', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'number of episodes', '3'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; number of episodes ; 3 }'}, 'english title ( chinese title )'], 'result': 'journey to the west ii 西遊記 ( 貳 )', 'ind': 1, 'tostr': 'h... | eq { hop { nth_argmax { all_rows ; number of episodes ; 3 } ; english title ( chinese title ) } ; journey to the west ii 西遊記 ( 貳 ) } = true | select the row whose number of episodes record of all rows is 3rd maximum . the english title ( chinese title ) record of this row is journey to the west ii 西遊記 ( 貳 ) . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'number of episodes_5': 5, '3_6': 6, 'english title (chinese title)_7': 7, 'journey to the west ii 西遊記 (貳)_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmax_0': 'nth_argmax', 'all_rows_4': 'all_rows', 'number of episodes_5': 'number of episodes', '3_6': '3', 'english title (chinese title)_7': 'english title ( chinese title )', 'journey to the west ii 西遊記 (貳)_8': 'journey to the west ii 西遊記 ( 貳 )... | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'number of episodes_5': [0], '3_6': [0], 'english title (chinese title)_7': [1], 'journey to the west ii 西遊記 (貳)_8': [2]} | ['airing date', 'english title ( chinese title )', 'number of episodes', 'genre', 'official website'] | [['12 jan - 6 feb', 'a tough side of a lady 花木蘭', '20', 'costume action', 'official website'], ['9 feb - 6 mar', "a place of one 's own 大澳的天空", '20', 'modern drama', 'official website'], ['9 mar - 1 may', 'dark tales ii 聊齋 ( 貳 )', '50', 'costume drama', 'official website'], ['4 may - 29 may', 'as sure as fate 師奶強人', '2... |
united states house of representatives elections , 1974 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1974 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1341690-13.html.csv | majority | most of the incumbents were from the republican party . | {'scope': 'all', 'col': '3', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'republican', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'party', 'republican'], 'result': True, 'ind': 0, 'tointer': 'for the party records of all rows , most of them fuzzily match to republican .', 'tostr': 'most_eq { all_rows ; party ; republican } = true'} | most_eq { all_rows ; party ; republican } = true | for the party records of all rows , most of them fuzzily match to republican . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'party_3': 3, 'republican_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'party_3': 'party', 'republican_4': 'republican'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'party_3': [0], 'republican_4': [0]} | ['district', 'incumbent', 'party', 'first elected', 'result', 'candidates'] | [['illinois 3', 'robert p hanrahan', 'republican', '1972', 'lost re - election democratic gain', 'marty russo ( d ) 52.6 % robert p hanrahan ( r ) 47.4 %'], ['illinois 4', 'ed derwinski', 'republican', '1958', 're - elected', 'ed derwinski ( r ) 59.2 % ronald a rodger ( d ) 40.8 %'], ['illinois 6', 'harold r collier', ... |
2007 grand rapids rampage season | https://en.wikipedia.org/wiki/2007_Grand_Rapids_Rampage_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11786440-4.html.csv | unique | in the 2007 grand rapids rampage 's season the only player with 12 touchdowns is jerome riley . | {'scope': 'all', 'row': '3', 'col': '5', 'col_other': '1', 'criterion': 'equal', 'value': '12', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_eq', 'args': ['all_rows', "td 's", '12'], 'result': None, 'ind': 0, 'tointer': "select the rows whose td 's record is equal to 12 .", 'tostr': "filter_eq { all_rows ; td 's ; 12 }"}], 'result': True, 'ind': 1, 'tostr': "only { filter_eq { all_rows ; td... | and { only { filter_eq { all_rows ; td 's ; 12 } } ; eq { hop { filter_eq { all_rows ; td 's ; 12 } ; player } ; jerome riley } } = true | select the rows whose td 's record is equal to 12 . there is only one such row in the table . the player record of this unqiue row is jerome riley . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_eq_0': 0, 'all_rows_6': 6, "td 's_7": 7, '12_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'player_9': 9, 'jerome riley_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_eq_0': 'filter_eq', 'all_rows_6': 'all_rows', "td 's_7": "td 's", '12_8': '12', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'player_9': 'player', 'jerome riley_10': 'jerome riley'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_eq_0': [1, 2], 'all_rows_6': [0], "td 's_7": [0], '12_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'player_9': [2], 'jerome riley_10': [3]} | ['player', 'rec', 'yards', 'avg', "td 's", 'long'] | [['cornelius bonner', '102', '1436', '14.1', '29', '49'], ['timon marshall', '102', '1134', '11.1', '27', '34'], ['jerome riley', '78', '845', '10.8', '12', '43'], ['scotty anderson', '31', '323', '10.4', '6', '33'], ['clarence coleman', '23', '253', '11', '3', '28'], ['ronney daniels', '23', '243', '10.6', '6', '30'],... |
patty schnyder | https://en.wikipedia.org/wiki/Patty_Schnyder | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1547798-3.html.csv | unique | the tournament played on 23 october 2005 was the only tournament that patty schnyder played on a carpet surface . | {'scope': 'all', 'row': '7', 'col': '3', 'col_other': '1', 'criterion': 'fuzzily_match', 'value': 'carpet', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'surface', 'carpet'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose surface record fuzzily matches to carpet .', 'tostr': 'filter_eq { all_rows ; surface ; carpet }'}], 'result': True, 'ind': 1, 'tostr': 'onl... | and { only { filter_eq { all_rows ; surface ; carpet } } ; eq { hop { filter_eq { all_rows ; surface ; carpet } ; date } ; 23 october 2005 } } = true | select the rows whose surface record fuzzily matches to carpet . there is only one such row in the table . the date record of this unqiue row is 23 october 2005 . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'surface_7': 7, 'carpet_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'date_9': 9, '23 october 2005_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'surface_7': 'surface', 'carpet_8': 'carpet', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'date_9': 'date', '23 october 2005_10': '23 october 2005'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'surface_7': [0], 'carpet_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'date_9': [2], '23 october 2005_10': [3]} | ['date', 'tournament', 'surface', 'opponent in the final', 'score'] | [['15 september 1996', 'karlovy vary , czech republic', 'clay', 'ruxandra dragomir', '6 - 2 , 3 - 6 , 6 - 4'], ['28 september 1998', 'munich , germany', 'hard ( i )', 'venus williams', '6 - 2 , 3 - 6 , 6 - 2'], ['16 july 2000', 'klagenfurt , austria', 'clay', 'barbara schett', '5 - 7 , 6 - 4 , 6 - 4'], ['12 july 2001',... |
list of active indonesian navy ships | https://en.wikipedia.org/wiki/List_of_active_Indonesian_Navy_ships | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-12232526-2.html.csv | unique | only the kri halim perdanakususma began its service years in 1989 . | {'scope': 'all', 'row': '5', 'col': '5', 'col_other': '2', 'criterion': 'fuzzily_match', 'value': '1989', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'service years', '1989'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose service years record fuzzily matches to 1989 .', 'tostr': 'filter_eq { all_rows ; service years ; 1989 }'}], 'result': True, 'ind': 1, '... | and { only { filter_eq { all_rows ; service years ; 1989 } } ; eq { hop { filter_eq { all_rows ; service years ; 1989 } ; ship name } ; kri halim perdanakususma } } = true | select the rows whose service years record fuzzily matches to 1989 . there is only one such row in the table . the ship name record of this unqiue row is kri halim perdanakususma . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'service years_7': 7, '1989_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'ship name_9': 9, 'kri halim perdanakususma_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'service years_7': 'service years', '1989_8': '1989', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'ship name_9': 'ship name', 'kri halim perdanakususma_10': 'kri halim perdanakususma'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'service years_7': [0], '1989_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'ship name_9': [2], 'kri halim perdanakususma_10': [3]} | ['class', 'ship name', 'origin', 'hull numbers', 'service years', 'previously', 'note'] | [['ahmad yani class ( ffghm )', 'kri ahmad yani', 'netherlands', '351', '1986 - present', 'rnn hnlms tjerk hiddes ( f804 )', 'reportedly still active as of 2009'], ['ahmad yani class ( ffghm )', 'kri slamet riyadi', 'netherlands', '352', '1986 - present', 'rnn hnlms van speijk ( f802 )', 'reportedly still active as of ... |
1994 - 95 cleveland cavaliers season | https://en.wikipedia.org/wiki/1994%E2%80%9395_Cleveland_Cavaliers_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16188254-3.html.csv | superlative | the venue that had the highest attendance out of the games of the ' 94 - '95 cleveland cavaliers season is charlotte coliseum . | {'scope': 'all', 'col_superlative': '6', 'row_superlative': '1', 'value_mentioned': 'yes', 'max_or_min': 'max', 'other_col': 'n/a', 'subset': None} | {'func': 'eq', 'args': [{'func': 'max', 'args': ['all_rows', 'attendance'], 'result': 'charlotte coliseum 23698', 'ind': 0, 'tostr': 'max { all_rows ; attendance }', 'tointer': 'the maximum attendance record of all rows is charlotte coliseum 23698 .'}, 'charlotte coliseum 23698'], 'result': True, 'ind': 1, 'tostr': 'eq... | eq { max { all_rows ; attendance } ; charlotte coliseum 23698 } = true | the maximum attendance record of all rows is charlotte coliseum 23698 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'max_0': 0, 'all_rows_3': 3, 'attendance_4': 4, 'charlotte coliseum 23698_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'max_0': 'max', 'all_rows_3': 'all_rows', 'attendance_4': 'attendance', 'charlotte coliseum 23698_5': 'charlotte coliseum 23698'} | {'eq_1': [2], 'result_2': [], 'max_0': [1], 'all_rows_3': [0], 'attendance_4': [0], 'charlotte coliseum 23698_5': [1]} | ['date', 'visitor', 'score', 'home', 'leading scorer', 'attendance', 'record'] | [['november 5', 'cleveland', '115 - 107', 'charlotte', 'mark price , 27 points', 'charlotte coliseum 23698', '1 - 0'], ['november 8', 'houston', '100 - 98', 'cleveland', 'terrell brandon , 19 points', 'gund arena 20562', '1 - 1'], ['november 10', 'milwaukee', '88 - 108', 'cleveland', 'mark price , 18 points', 'gund are... |
2008 - 09 philadelphia flyers season | https://en.wikipedia.org/wiki/2008%E2%80%9309_Philadelphia_Flyers_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17511295-5.html.csv | comparative | the philadelphia flyers game that took place on december 30 had a lower attendance than the game that occuered on december 26 . | {'row_1': '14', 'row_2': '12', 'col': '6', 'col_other': '1', 'relation': 'less', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'less', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'date', 'december 30'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose date record fuzzily matches to december 30 .', 'tostr': 'filter_eq { all_rows ; date ; december 30 }'}, 'attendance'], 'result': None,... | less { hop { filter_eq { all_rows ; date ; december 30 } ; attendance } ; hop { filter_eq { all_rows ; date ; december 26 } ; attendance } } = true | select the rows whose date record fuzzily matches to december 30 . take the attendance record of this row . select the rows whose date record fuzzily matches to december 26 . take the attendance record of this row . the first record is less than the second record . | 5 | 5 | {'less_4': 4, 'result_5': 5, 'num_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'date_7': 7, 'december 30_8': 8, 'attendance_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'date_11': 11, 'december 26_12': 12, 'attendance_13': 13} | {'less_4': 'less', 'result_5': 'true', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'date_7': 'date', 'december 30_8': 'december 30', 'attendance_9': 'attendance', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'date_11': 'date', 'december... | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'date_7': [0], 'december 30_8': [0], 'attendance_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'date_11': [1], 'december 26_12': [1], 'attendance_13': [3]} | ['date', 'visitor', 'score', 'home', 'decision', 'attendance', 'record'] | [['december 2', 'tampa bay', '3 - 4', 'philadelphia', 'biron', '19227', '12 - 7 - 5'], ['december 4', 'new jersey', '3 - 2', 'philadelphia', 'biron', '19577', '12 - 7 - 6'], ['december 6', 'philadelphia', '2 - 1', 'carolina', 'niittymaki', '14061', '13 - 7 - 6'], ['december 9', 'ny islanders', '3 - 4', 'philadelphia', ... |
1981 vfl season | https://en.wikipedia.org/wiki/1981_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10823950-11.html.csv | ordinal | the match at mcg had the 3rd largest crowd in 1981 . | {'row': '1', 'col': '6', 'order': '3', 'col_other': '4', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'crowd', '3'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; crowd ; 3 }'}, 'away team score'], 'result': '14.10 ( 94 )', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; crowd ; 3 } ; away team score }'}... | eq { hop { nth_argmax { all_rows ; crowd ; 3 } ; away team score } ; 14.10 ( 94 ) } = true | select the row whose crowd record of all rows is 3rd maximum . the away team score record of this row is 14.10 ( 94 ) . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'crowd_5': 5, '3_6': 6, 'away team score_7': 7, '14.10 (94)_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmax_0': 'nth_argmax', 'all_rows_4': 'all_rows', 'crowd_5': 'crowd', '3_6': '3', 'away team score_7': 'away team score', '14.10 (94)_8': '14.10 ( 94 )'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'crowd_5': [0], '3_6': [0], 'away team score_7': [1], '14.10 (94)_8': [2]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['richmond', '20.16 ( 136 )', 'melbourne', '14.10 ( 94 )', 'mcg', '31025', '6 june 1981'], ['st kilda', '14.15 ( 99 )', 'fitzroy', '7.17 ( 59 )', 'moorabbin oval', '21672', '6 june 1981'], ['hawthorn', '18.19 ( 127 )', 'collingwood', '12.9 ( 81 )', 'vfl park', '92935', '6 june 1981'], ['footscray', '12.10 ( 82 )', 'ge... |
1928 army cadets football team | https://en.wikipedia.org/wiki/1928_Army_Cadets_football_team | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-21091157-1.html.csv | ordinal | the game on october 20 resulted in the fourth lowest number of black knights points . | {'row': '4', 'col': '5', 'order': '4', 'col_other': '2', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'black knights points', '4'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; black knights points ; 4 }'}, 'date'], 'result': 'oct 20', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; black knights points... | eq { hop { nth_argmin { all_rows ; black knights points ; 4 } ; date } ; oct 20 } = true | select the row whose black knights points record of all rows is 4th minimum . the date record of this row is oct 20 . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'black knights points_5': 5, '4_6': 6, 'date_7': 7, 'oct 20_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmin_0': 'nth_argmin', 'all_rows_4': 'all_rows', 'black knights points_5': 'black knights points', '4_6': '4', 'date_7': 'date', 'oct 20_8': 'oct 20'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'black knights points_5': [0], '4_6': [0], 'date_7': [1], 'oct 20_8': [2]} | ['game', 'date', 'opponent', 'result', 'black knights points', 'opponents', 'record'] | [['1', 'sept 29', 'boston university', 'win', '35', '0', '1 - 0'], ['2', 'oct 6', 'southern methodist', 'win', '14', '13', '2 - 0'], ['3', 'oct 13', 'providence college', 'win', '44', '0', '3 - 0'], ['4', 'oct 20', 'harvard', 'win', '15', '0', '4 - 0'], ['5', 'oct 27', 'yale', 'win', '18', '6', '5 - 0'], ['6', 'nov 3',... |
karen kavaleryan | https://en.wikipedia.org/wiki/Karen_Kavaleryan | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17632536-1.html.csv | unique | never let you go 2 is the only song that was composed by alexander lunyov . | {'scope': 'all', 'row': '2', 'col': '6', 'col_other': '2', 'criterion': 'equal', 'value': 'alexander lunyov', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'composer', 'alexander lunyov'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose composer record fuzzily matches to alexander lunyov .', 'tostr': 'filter_eq { all_rows ; composer ; alexander lunyov }'}], 'resul... | and { only { filter_eq { all_rows ; composer ; alexander lunyov } } ; eq { hop { filter_eq { all_rows ; composer ; alexander lunyov } ; song } ; never let you go 2 } } = true | select the rows whose composer record fuzzily matches to alexander lunyov . there is only one such row in the table . the song record of this unqiue row is never let you go 2 . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'composer_7': 7, 'alexander lunyov_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'song_9': 9, 'never let you go 2_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'composer_7': 'composer', 'alexander lunyov_8': 'alexander lunyov', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'song_9': 'song', 'never let you go 2_10': 'never let you go 2'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'composer_7': [0], 'alexander lunyov_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'song_9': [2], 'never let you go 2_10': [3]} | ['year', 'song', 'artist', 'place', 'points', 'composer'] | [['2002', 'northern girl 1', 'prime minister', '10', '55', 'kim breitburg'], ['2006', 'never let you go 2', 'dima bilan', '2 ( sf : 3rd )', '248 ( sf : 217 )', 'alexander lunyov'], ['2007', 'work your magic', 'dmitry koldun', '6 ( sf : 4th )', '145 ( sf : 176 )', 'philipp kirkorov'], ['2007', 'anytime you need 3', 'hay... |
federal government college ikot ekpene | https://en.wikipedia.org/wiki/Federal_Government_College_Ikot_Ekpene | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-11464746-1.html.csv | aggregation | the average foundation year of houses in the federal government college ikot ekpene is 1977 . | {'scope': 'all', 'col': '4', 'type': 'average', 'result': '1977', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'founded'], 'result': '1977', 'ind': 0, 'tostr': 'avg { all_rows ; founded }'}, '1977'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; founded } ; 1977 } = true', 'tointer': 'the average of the founded record of all rows is 1977 .'} | round_eq { avg { all_rows ; founded } ; 1977 } = true | the average of the founded record of all rows is 1977 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'founded_4': 4, '1977_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'founded_4': 'founded', '1977_5': '1977'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'founded_4': [0], '1977_5': [1]} | ['house name', 'composition', 'named after', 'founded', 'colours'] | [['benue', 'coed', 'river benue', '1973', 'yellow'], ['gongola', 'coed', 'gongola river', '1980', 'purple'], ['niger', 'coed', 'river niger', '1973', 'green'], ['rima', 'coed', 'rima river', '1980', 'brown'], ['ogun', 'coed', 'ogun river', '1980', 'blue']] |
matt baker ( television presenter ) | https://en.wikipedia.org/wiki/Matt_Baker_%28television_presenter%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1014319-1.html.csv | superlative | matt baker 's highest score from goodman was for the tango . | {'scope': 'all', 'col_superlative': '4', 'row_superlative': '12', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '2', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'goodman'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; goodman }'}, 'dance / song'], 'result': 'tango / hung up', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; goodman } ; dance / song }'}, 'tango / hung up'], ... | eq { hop { argmax { all_rows ; goodman } ; dance / song } ; tango / hung up } = true | select the row whose goodman record of all rows is maximum . the dance / song record of this row is tango / hung up . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'goodman_5': 5, 'dance / song_6': 6, 'tango / hung up_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'goodman_5': 'goodman', 'dance / song_6': 'dance / song', 'tango / hung up_7': 'tango / hung up'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'goodman_5': [0], 'dance / song_6': [1], 'tango / hung up_7': [2]} | ['week', 'dance / song', 'horwood', 'goodman', 'dixon', 'tonioli', 'total', 'result'] | [['1', "cha - cha - cha / ai n't no mountain high enough", '7', '8', '8', '8', '31', 'n / a'], ['2', 'foxtrot / she said', '7', '8', '8', '8', '31', 'safe'], ['3', 'quickstep / dreaming of you', '8', '7', '8', '8', '31', 'safe'], ['4', 'charleston / forty - second street', '9', '9', '9', '8', '35', 'safe'], ['5', 'arge... |
sony xperia | https://en.wikipedia.org/wiki/Sony_Xperia | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-23556331-4.html.csv | ordinal | among sony xperia smartphone models sold under the sony brand , the one of the sixth-smallest display was released in mar. ' 12 . | {'row': '2', 'col': '9', 'order': '6', 'col_other': '4', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'display', '6'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; display ; 6 }'}, 'release date'], 'result': '2012 - 03', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; display ; 6 } ; release date }'}, '... | eq { hop { nth_argmin { all_rows ; display ; 6 } ; release date } ; 2012 - 03 } = true | select the row whose display record of all rows is 6th minimum . the release date record of this row is 2012 - 03 . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'display_5': 5, '6_6': 6, 'release date_7': 7, '2012 - 03_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmin_0': 'nth_argmin', 'all_rows_4': 'all_rows', 'display_5': 'display', '6_6': '6', 'release date_7': 'release date', '2012 - 03_8': '2012 - 03'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'display_5': [0], '6_6': [0], 'release date_7': [1], '2012 - 03_8': [2]} | ['code name', 'market name', 'platform', 'release date', 'android version', 'system on chip', 'ram', 'rom', 'display', 'weight', 'battery ( mah )', 'bluetooth', 'wi - fi', 'nfc', 'camera', 'network'] | [['nozomi', 'xperia s', 'fuji', '2012 - 02', '2.3 / 4.0 / 4.1', '1.5 ghz qualcomm snapdragon s3 msm8260 , dual - core', '1 gb', '32 gb', '4.3 hd', '144 g', '1750', '2.1 + edr', '802.11 b / g / n', 'yes', 'rear : 12.1 mp front : 1.3 mp', 'gsm / hspa +'], ['aoba', 'xperia ion', 'fuji', '2012 - 03', '2.3 / 4.0 / 4.1', '1.... |
sim kwon - ho | https://en.wikipedia.org/wiki/Sim_Kwon-Ho | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16680101-1.html.csv | majority | the majority of sim kwon-ho 's gold medal wins were at the 48 kg weight division . | {'scope': 'all', 'col': '3', 'most_or_all': 'most', 'criterion': 'equal', 'value': '48 kg', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'class', '48 kg'], 'result': True, 'ind': 0, 'tointer': 'for the class records of all rows , most of them fuzzily match to 48 kg .', 'tostr': 'most_eq { all_rows ; class ; 48 kg } = true'} | most_eq { all_rows ; class ; 48 kg } = true | for the class records of all rows , most of them fuzzily match to 48 kg . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'class_3': 3, '48 kg_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'class_3': 'class', '48 kg_4': '48 kg'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'class_3': [0], '48 kg_4': [0]} | ['opponent', 'res', 'class', 'score', 'date', 'competition', 'notes'] | [['win', 'lã ¡ zaro rivas', '54 kg', '8:0', '2000 - 06 - 09', '2000 summer olympics', 'won second olympic gold medal'], ['win', 'shamseddin khudoyberdiev', '54 kg', '3:2', '1999 - 05 - 31', '1999 asian championships', 'won third asian championship gold medal'], ['win', 'kang yong - gyun', '54 kg', '5:5', '1998 - 12 - 1... |
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