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naoki tsukahara | https://en.wikipedia.org/wiki/Naoki_Tsukahara | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11401861-1.html.csv | count | naoki tsukahara finished in second position at four different competitions . | {'scope': 'all', 'criterion': 'equal', 'value': '2nd', 'result': '4', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'position', '2nd'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose position record fuzzily matches to 2nd .', 'tostr': 'filter_eq { all_rows ; position ; 2nd }'}], 'result': '4', 'ind': 1, 'tostr': 'count { fi... | eq { count { filter_eq { all_rows ; position ; 2nd } } ; 4 } = true | select the rows whose position record fuzzily matches to 2nd . 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, 'position_5': 5, '2nd_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', 'position_5': 'position', '2nd_6': '2nd', '4_7': '4'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'position_5': [0], '2nd_6': [0], '4_7': [2]} | ['year', 'competition', 'venue', 'position', 'notes'] | [['2003', '58th national sports festival of japan', 'shizuoka , japan', '7th', '100 m'], ['2004', 'japan student athletics championships', 'unknown , japan', '6th', '200 m'], ['2004', 'world junior championships', 'grosseto , italy', '3rd', '4x100 m relay'], ['2006', 'kanto students athletics championships', 'kantō , j... |
annika sörenstam | https://en.wikipedia.org/wiki/Annika_S%C3%B6renstam | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-102100-7.html.csv | majority | in all of her matches , annika sörenstam scored at least one point . | {'scope': 'all', 'col': '5', 'most_or_all': 'all', 'criterion': 'greater_than_eq', 'value': '1', 'subset': None} | {'func': 'all_greater_eq', 'args': ['all_rows', 'points won', '1'], 'result': True, 'ind': 0, 'tointer': 'for the points won records of all rows , all of them are greater than or equal to 1 .', 'tostr': 'all_greater_eq { all_rows ; points won ; 1 } = true'} | all_greater_eq { all_rows ; points won ; 1 } = true | for the points won records of all rows , all of them are greater than or equal to 1 . | 1 | 1 | {'all_greater_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'points won_3': 3, '1_4': 4} | {'all_greater_eq_0': 'all_greater_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'points won_3': 'points won', '1_4': '1'} | {'all_greater_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'points won_3': [0], '1_4': [0]} | ['year', 'total matches', 'total w - l - h', 'singles w - l - h', 'points won', 'points %'] | [['career', '37', '22 - 11 - 4', '4 - 3 - 1', '24', '64.9'], ['1994', '3', '1 - 2 - 0', '0 - 1 - 0 lost to t green', '1', '33.3'], ['1996', '5', '3 - 0 - 2', '1 - 0 - 0 def p bradley 2 & 1', '4', '80.0'], ['1998', '5', '3 - 2 - 0', '1 - 0 - 0 def d andrews 2 & 1', '3', '60.0'], ['2000', '4', '2 - 2 - 0', '0 - 1 - 0 los... |
2007 - 08 ukrainian first league | https://en.wikipedia.org/wiki/2007%E2%80%9308_Ukrainian_First_League | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12331289-3.html.csv | count | there are 11 stadiums that can fit more than 5,000 people . | {'scope': 'all', 'criterion': 'greater_than', 'value': '5000', 'result': '11', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_greater', 'args': ['all_rows', 'capacity', '5000'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose capacity record is greater than 5000 .', 'tostr': 'filter_greater { all_rows ; capacity ; 5000 }'}], 'result': '11', 'ind': 1, 'tostr': 'cou... | eq { count { filter_greater { all_rows ; capacity ; 5000 } } ; 11 } = true | select the rows whose capacity record is greater than 5000 . the number of such rows is 11 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_greater_0': 0, 'all_rows_4': 4, 'capacity_5': 5, '5000_6': 6, '11_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_greater_0': 'filter_greater', 'all_rows_4': 'all_rows', 'capacity_5': 'capacity', '5000_6': '5000', '11_7': '11'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_greater_0': [1], 'all_rows_4': [0], 'capacity_5': [0], '5000_6': [0], '11_7': [2]} | ['rank', 'stadium', 'capacity', 'club', 'region'] | [['1', 'lobanovsky dynamo stadium', '16873', 'fc dynamo - 2 kyiv', 'kiev'], ['2', 'mcs rukh', '16000', 'fsc prykarpattya ivano - frankivsk', 'ivano - frankivsk'], ['3', 'illychivets', '12680', 'fc illichivets mariupol', 'donetsk'], ['4', 'youri haharyn', '12000', 'fc desna chernihiv', 'chernihiv'], ['5', 'csk zsu', '12... |
united states house of representatives elections , 2006 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_2006 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1805191-24.html.csv | count | for the 2006 election for the united states house of representatives , four of the incumbents were from the democratic party . | {'scope': 'all', 'criterion': 'equal', 'value': 'democratic', 'result': '4', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'party', 'democratic'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose party record fuzzily matches to democratic .', 'tostr': 'filter_eq { all_rows ; party ; democratic }'}], 'result': '4', 'ind': 1, 'tostr':... | eq { count { filter_eq { all_rows ; party ; democratic } } ; 4 } = true | select the rows whose party record fuzzily matches to democratic . 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, 'party_5': 5, 'democratic_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', 'party_5': 'party', 'democratic_6': 'democratic', '4_7': '4'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'party_5': [0], 'democratic_6': [0], '4_7': [2]} | ['district', 'incumbent', 'party', 'first elected', 'results'] | [['minnesota 1', 'gil gutknecht', 'republican', '1994', 'lost re - election democratic gain'], ['minnesota 2', 'john kline', 'republican', '2002', 're - elected'], ['minnesota 3', 'jim ramstad', 'republican', '1990', 're - elected'], ['minnesota 4', 'betty mccollum', 'democratic', '2000', 're - elected'], ['minnesota 5... |
mikhail youzhny | https://en.wikipedia.org/wiki/Mikhail_Youzhny | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1549452-2.html.csv | unique | 2010 was the only year that mikhail youzhny had 12 wins in grand slam tournaments . | {'scope': 'all', 'row': '6', 'col': '12', 'col_other': '1', 'criterion': 'fuzzily_match', 'value': '12', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', '2010', '12'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose 2010 record fuzzily matches to 12 .', 'tostr': 'filter_eq { all_rows ; 2010 ; 12 }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_r... | and { only { filter_eq { all_rows ; 2010 ; 12 } } ; eq { hop { filter_eq { all_rows ; 2010 ; 12 } ; tournament } ; win - loss } } = true | select the rows whose 2010 record fuzzily matches to 12 . there is only one such row in the table . the tournament record of this unqiue row is win - loss . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, '2010_7': 7, '12_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'tournament_9': 9, 'win - loss_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', '2010_7': '2010', '12_8': '12', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'tournament_9': 'tournament', 'win - loss_10': 'win - loss'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], '2010_7': [0], '12_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'tournament_9': [2], 'win - loss_10': [3]} | ['tournament', '2000', '2001', '2002', '2003', '2004', '2005', '2006', '2007', '2008', '2009', '2010', '2011', '2012'] | [['grand slam tournaments', 'grand slam tournaments', 'grand slam tournaments', 'grand slam tournaments', 'grand slam tournaments', 'grand slam tournaments', 'grand slam tournaments', 'grand slam tournaments', 'grand slam tournaments', 'grand slam tournaments', 'grand slam tournaments', 'grand slam tournaments', 'grand... |
1973 buffalo bills season | https://en.wikipedia.org/wiki/1973_Buffalo_Bills_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16028459-2.html.csv | ordinal | during the 1973 buffalo bills season , when the buffalo bills played against new york jets for the second time , they had scored 34 points . | {'scope': 'subset', 'row': '14', 'col': '2', 'order': '2', 'col_other': '5', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'subset': {'col': '3', 'criterion': 'equal', 'value': 'new york jets'}} | {'func': 'eq', 'args': [{'func': 'num_hop', 'args': [{'func': 'nth_argmin', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'opponent', 'new york jets'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; opponent ; new york jets }', 'tointer': 'select the rows whose opponent record fuzzily matches to n... | eq { hop { nth_argmin { filter_eq { all_rows ; opponent ; new york jets } ; date ; 2 } ; bills points } ; 34 } = true | select the rows whose opponent record fuzzily matches to new york jets . select the row whose date record of these rows is 2nd minimum . the bills points record of this row is 34 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'num_hop_2': 2, 'nth_argmin_1': 1, 'filter_str_eq_0': 0, 'all_rows_5': 5, 'opponent_6': 6, 'new york jets_7': 7, 'date_8': 8, '2_9': 9, 'bills points_10': 10, '34_11': 11} | {'eq_3': 'eq', 'result_4': 'true', 'num_hop_2': 'num_hop', 'nth_argmin_1': 'nth_argmin', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_5': 'all_rows', 'opponent_6': 'opponent', 'new york jets_7': 'new york jets', 'date_8': 'date', '2_9': '2', 'bills points_10': 'bills points', '34_11': '34'} | {'eq_3': [4], 'result_4': [], 'num_hop_2': [3], 'nth_argmin_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'opponent_6': [0], 'new york jets_7': [0], 'date_8': [1], '2_9': [1], 'bills points_10': [2], '34_11': [3]} | ['game', 'date', 'opponent', 'result', 'bills points', 'opponents', 'bills first downs', 'record'] | [['1', 'sept 16', 'new england patriots', 'win', '31', '13', '23', '1 - 0'], ['2', 'sept 23', 'san diego chargers', 'loss', '7', '34', '16', '1 - 1'], ['3', 'sept 30', 'new york jets', 'win', '9', '7', '15', '2 - 1'], ['4', 'oct 7', 'philadelphia eagles', 'win', '27', '26', '16', '3 - 1'], ['5', 'oct 14', 'baltimore co... |
angela stanford | https://en.wikipedia.org/wiki/Angela_Stanford | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-14836185-3.html.csv | unique | 2002 was the only year that angela stanford played less than 20 tournaments . | {'scope': 'all', 'row': '2', 'col': '2', 'col_other': '1', 'criterion': 'less_than', 'value': '20', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_less', 'args': ['all_rows', 'tournaments played', '20'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose tournaments played record is less than 20 .', 'tostr': 'filter_less { all_rows ; tournaments played ; 20 }'}], 'result': True, 'ind': 1... | and { only { filter_less { all_rows ; tournaments played ; 20 } } ; eq { hop { filter_less { all_rows ; tournaments played ; 20 } ; year } ; 2002 } } = true | select the rows whose tournaments played record is less than 20 . there is only one such row in the table . the year record of this unqiue row is 2002 . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_less_0': 0, 'all_rows_6': 6, 'tournaments played_7': 7, '20_8': 8, 'eq_3': 3, 'num_hop_2': 2, 'year_9': 9, '2002_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_less_0': 'filter_less', 'all_rows_6': 'all_rows', 'tournaments played_7': 'tournaments played', '20_8': '20', 'eq_3': 'eq', 'num_hop_2': 'num_hop', 'year_9': 'year', '2002_10': '2002'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_less_0': [1, 2], 'all_rows_6': [0], 'tournaments played_7': [0], '20_8': [0], 'eq_3': [4], 'num_hop_2': [3], 'year_9': [2], '2002_10': [3]} | ['year', 'tournaments played', 'cuts made', 'wins', '2nd', '3rd', 'top 10s', 'best finish', 'earnings', 'money list rank', 'scoring average', 'scoring rank'] | [['2001', '26', '12', '0', '0', '0', '0', 't15', '66956', '98', '73.24', '103'], ['2002', '19', '12', '0', '1', '0', '2', '2', '221857', '45', '72.37', '46'], ['2003', '21', '17', '1', '1', '0', '3', '1', '643192', '17', '71.94', '38'], ['2004', '24', '19', '0', '0', '0', '2', 't4', '297790', '39', '71.86', 't43'], ['2... |
2009 premier league darts | https://en.wikipedia.org/wiki/2009_Premier_League_Darts | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18968744-17.html.csv | unique | terry jenkins had a 100 + of 207 in the 2009 premier league darts . | {'scope': 'all', 'row': '5', 'col': '3', 'col_other': '1', 'criterion': 'equal', 'value': '207', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_eq', 'args': ['all_rows', '100 +', '207'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose 100 + record is equal to 207 .', 'tostr': 'filter_eq { all_rows ; 100 + ; 207 }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ;... | and { only { filter_eq { all_rows ; 100 + ; 207 } } ; eq { hop { filter_eq { all_rows ; 100 + ; 207 } ; name } ; terry jenkins } } = true | select the rows whose 100 + record is equal to 207 . there is only one such row in the table . the name record of this unqiue row is terry jenkins . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_eq_0': 0, 'all_rows_6': 6, '100 +_7': 7, '207_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'name_9': 9, 'terry jenkins_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_eq_0': 'filter_eq', 'all_rows_6': 'all_rows', '100 +_7': '100 +', '207_8': '207', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'name_9': 'name', 'terry jenkins_10': 'terry jenkins'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_eq_0': [1, 2], 'all_rows_6': [0], '100 +_7': [0], '207_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'name_9': [2], 'terry jenkins_10': [3]} | ['name', 'lwat', '100 +', '140 +', '180s'] | [['phil taylor', '29', '194', '128', '56'], ['james wade', '28', '181', '114', '43'], ['raymond van barneveld', '25', '188', '122', '43'], ['mervyn king', '28', '203', '114', '37'], ['terry jenkins', '26', '207', '129', '46'], ['john part', '18', '180', '72', '25'], ['jelle klaasen', '26', '173', '93', '33']] |
isabel cueto | https://en.wikipedia.org/wiki/Isabel_Cueto | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17086086-2.html.csv | majority | of the tournaments that isabel cueto participated in , all of them were on a clay surface . | {'scope': 'all', 'col': '3', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'clay', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'surface', 'clay'], 'result': True, 'ind': 0, 'tointer': 'for the surface records of all rows , most of them fuzzily match to clay .', 'tostr': 'most_eq { all_rows ; surface ; clay } = true'} | most_eq { all_rows ; surface ; clay } = true | for the surface records of all rows , most of them fuzzily match to clay . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'surface_3': 3, 'clay_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'surface_3': 'surface', 'clay_4': 'clay'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'surface_3': [0], 'clay_4': [0]} | ['date', 'tournament', 'surface', 'opponent in the final', 'score'] | [['4 july 1988', 'båstad , sweden', 'clay', 'sandra cecchini', '7 - 5 , 6 - 1'], ['1 august 1988', 'athens , greece', 'clay', 'laura golarsa', '6 - 0 , 6 - 1'], ['17 july 1989', 'estoril , portugal', 'clay', 'sandra cecchini', '7 - 6 ( 3 ) , 6 - 2'], ['31 july 1989', 'sofia , bulgaria', 'clay', 'katerina maleeva', '6 -... |
marianne werdel | https://en.wikipedia.org/wiki/Marianne_Werdel | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15113825-5.html.csv | majority | marianne werdel was the runner-up in all the tournaments she participated that were played on clay surface . | {'scope': 'subset', 'col': '1', 'most_or_all': 'all', 'criterion': 'equal', 'value': 'runner-up', 'subset': {'col': '4', 'criterion': 'equal', 'value': 'clay'}} | {'func': 'all_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'surface', 'clay'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; surface ; clay }', 'tointer': 'select the rows whose surface record fuzzily matches to clay .'}, 'outcome', 'runner-up'], 'result': True, 'ind': 1, 'tointer': 'se... | all_eq { filter_eq { all_rows ; surface ; clay } ; outcome ; runner-up } = true | select the rows whose surface record fuzzily matches to clay . for the outcome records of these rows , all of them fuzzily match to runner-up . | 2 | 2 | {'all_str_eq_1': 1, 'result_2': 2, 'filter_str_eq_0': 0, 'all_rows_3': 3, 'surface_4': 4, 'clay_5': 5, 'outcome_6': 6, 'runner-up_7': 7} | {'all_str_eq_1': 'all_str_eq', 'result_2': 'true', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_3': 'all_rows', 'surface_4': 'surface', 'clay_5': 'clay', 'outcome_6': 'outcome', 'runner-up_7': 'runner-up'} | {'all_str_eq_1': [2], 'result_2': [], 'filter_str_eq_0': [1], 'all_rows_3': [0], 'surface_4': [0], 'clay_5': [0], 'outcome_6': [1], 'runner-up_7': [1]} | ['outcome', 'date', 'tournament', 'surface', 'partner', 'opponents', 'score'] | [['runner - up', 'may 24 , 1992', 'european open , switzerland', 'clay', 'karina habšudová', 'amy frazier elna reinach', '5 - 7 , 2 - 6'], ['runner - up', 'may 23 , 1993', 'european open , switzerland', 'clay', 'lindsay davenport', 'mary joe fernandez helena suková', '2 - 6 , 4 - 6'], ['runner - up', 'september 19 , 19... |
list of awards and nominations received by er | https://en.wikipedia.org/wiki/List_of_awards_and_nominations_received_by_ER | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18540176-11.html.csv | majority | john wells was the nominee for most of the awards that er was nominated for . | {'scope': 'all', 'col': '3', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'john wells', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'nominee ( s )', 'john wells'], 'result': True, 'ind': 0, 'tointer': 'for the nominee ( s ) records of all rows , most of them fuzzily match to john wells .', 'tostr': 'most_eq { all_rows ; nominee ( s ) ; john wells } = true'} | most_eq { all_rows ; nominee ( s ) ; john wells } = true | for the nominee ( s ) records of all rows , most of them fuzzily match to john wells . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'nominee (s)_3': 3, 'john wells_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'nominee (s)_3': 'nominee ( s )', 'john wells_4': 'john wells'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'nominee (s)_3': [0], 'john wells_4': [0]} | ['year', 'category', 'nominee ( s )', 'episode', 'result'] | [['1996', '60 minute category', 'john wells', 'the healers', 'nominated'], ['1998', '60 minute category', 'carol flint', 'family practice', 'nominated'], ['2001', '60 minute category', 'john wells', 'a walk in the woods', 'nominated'], ['2003', '60 minute category', 'john wells', 'on the beach', 'nominated'], ['2004', ... |
arizona wildcats men 's basketball | https://en.wikipedia.org/wiki/Arizona_Wildcats_men%27s_basketball | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10609116-6.html.csv | majority | most of the tournaments were played in los angeles , california . | {'scope': 'all', 'col': '6', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'los angeles , california', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'city', 'los angeles , california'], 'result': True, 'ind': 0, 'tointer': 'for the city records of all rows , most of them fuzzily match to los angeles , california .', 'tostr': 'most_eq { all_rows ; city ; los angeles , california } = true'} | most_eq { all_rows ; city ; los angeles , california } = true | for the city records of all rows , most of them fuzzily match to los angeles , california . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'city_3': 3, 'los angeles, california_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'city_3': 'city', 'los angeles, california_4': 'los angeles , california'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'city_3': [0], 'los angeles, california_4': [0]} | ['year', 'champion', 'score', 'runner - up', 'arena', 'city', 'tournament mvp'] | [['1988', 'arizona', '93 - 67', 'oregon state', 'mckale center', 'tucson , arizona', 'sean elliott , arizona'], ['1989', 'arizona', '73 - 51', 'stanford', 'great western forum', 'inglewood , california', 'sean elliott , arizona'], ['1990', 'arizona', '94 - 78', 'ucla', 'university activity center', 'tempe , arizona', '... |
2007 latvian first league | https://en.wikipedia.org/wiki/2007_Latvian_First_League | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18017970-2.html.csv | count | all teams played 30 games in the 2007 latvian first league . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': '30', 'result': '16', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'played', '30'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose played record fuzzily matches to 30 .', 'tostr': 'filter_eq { all_rows ; played ; 30 }'}], 'result': '16', 'ind': 1, 'tostr': 'count { filter_eq ... | eq { count { filter_eq { all_rows ; played ; 30 } } ; 16 } = true | select the rows whose played record fuzzily matches to 30 . the number of such rows is 16 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'played_5': 5, '30_6': 6, '16_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'played_5': 'played', '30_6': '30', '16_7': '16'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'played_5': [0], '30_6': [0], '16_7': [2]} | ['position', 'club', 'played', 'wins', 'draws', 'losses', 'goals for', 'goals against', 'points', 'goal difference'] | [['1', 'fk vindava ventspils', '30', '26', '2', '2', '116', '11', '80', '+ 105'], ['2', 'sk blāzma rēzekne', '30', '25', '4', '1', '101', '11', '79', '+ 90'], ['3', 'fk auda rīga', '30', '20', '5', '5', '104', '31', '65', '+ 73'], ['4', 'fk metta / lu rīga', '30', '18', '7', '5', '67', '23', '61', '+ 44'], ['5', 'fk je... |
south africa | https://en.wikipedia.org/wiki/South_Africa | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17416221-1.html.csv | majority | most of the provinces in south africa have less than 10,000,000 people living in them . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'less_than', 'value': '10000000', 'subset': None} | {'func': 'most_less', 'args': ['all_rows', 'population ( 2013 )', '10000000'], 'result': True, 'ind': 0, 'tointer': 'for the population ( 2013 ) records of all rows , most of them are less than 10000000 .', 'tostr': 'most_less { all_rows ; population ( 2013 ) ; 10000000 } = true'} | most_less { all_rows ; population ( 2013 ) ; 10000000 } = true | for the population ( 2013 ) records of all rows , most of them are less than 10000000 . | 1 | 1 | {'most_less_0': 0, 'result_1': 1, 'all_rows_2': 2, 'population (2013)_3': 3, '10000000_4': 4} | {'most_less_0': 'most_less', 'result_1': 'true', 'all_rows_2': 'all_rows', 'population (2013)_3': 'population ( 2013 )', '10000000_4': '10000000'} | {'most_less_0': [1], 'result_1': [], 'all_rows_2': [0], 'population (2013)_3': [0], '10000000_4': [0]} | ['province', 'provincial capital', 'largest city', 'area ( km 2 )', 'population ( 2013 )'] | [['eastern cape', 'bhisho', 'port elizabeth', '168966', '6620100'], ['free state', 'bloemfontein', 'bloemfontein', '129825', '2753200'], ['gauteng', 'johannesburg', 'johannesburg', '18178', '12728400'], ['kwazulu - natal', 'pietermaritzburg', 'durban', '94361', '10456900'], ['limpopo', 'polokwane', 'polokwane', '125754... |
fiba eurobasket 2009 squads | https://en.wikipedia.org/wiki/FIBA_EuroBasket_2009_squads | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-23670057-1.html.csv | count | 4 players on fiba eurobasket 2009 squads played the guard position . | {'scope': 'all', 'criterion': 'equal', 'value': 'guard', 'result': '4', 'col': '5', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'position', 'guard'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose position record fuzzily matches to guard .', 'tostr': 'filter_eq { all_rows ; position ; guard }'}], 'result': '4', 'ind': 1, 'tostr': 'coun... | eq { count { filter_eq { all_rows ; position ; guard } } ; 4 } = true | select the rows whose position record fuzzily matches to guard . 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, 'position_5': 5, 'guard_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', 'position_5': 'position', 'guard_6': 'guard', '4_7': '4'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'position_5': [0], 'guard_6': [0], '4_7': [2]} | ['no', 'player', 'height ( m )', 'height ( f )', 'position', 'year born', 'current club'] | [['4', 'ioannis kalampokis', '1.96', "6 ' 05 ″", 'guard', '1978', 'alba berlin'], ['5', 'ioannis bourousis', '2.13', "7 ' 00 ″", 'center', '1983', 'olimpia milano'], ['6', 'nikolaos zisis', '1.97', "6 ' 06 ″", 'guard', '1983', 'bilbao basket'], ['7', 'vasileios spanoulis', '1.93', "6 ' 04 ″", 'guard', '1982', 'olympiac... |
hamburg state election , 2004 | https://en.wikipedia.org/wiki/Hamburg_state_election%2C_2004 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1265169-2.html.csv | ordinal | the social democratic party recorded the 2nd highest vote percentage of the 2004 hamburg state election . | {'row': '2', 'col': '3', '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', 'vote percentage', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; vote percentage ; 2 }'}, 'party'], 'result': 'social democratic party ( spd )', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; vote... | eq { hop { nth_argmax { all_rows ; vote percentage ; 2 } ; party } ; social democratic party ( spd ) } = true | select the row whose vote percentage record of all rows is 2nd maximum . the party record of this row is social democratic party ( spd ) . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'vote percentage_5': 5, '2_6': 6, 'party_7': 7, 'social democratic party (spd)_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', 'vote percentage_5': 'vote percentage', '2_6': '2', 'party_7': 'party', 'social democratic party (spd)_8': 'social democratic party ( spd )'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'vote percentage_5': [0], '2_6': [0], 'party_7': [1], 'social democratic party (spd)_8': [2]} | ['party', 'party list votes', 'vote percentage', 'total seats', 'seat percentage'] | [['christian democratic union ( cdu )', '389170', '47.2 % ( + 21.0 )', '63 ( + 30 )', '52.1 %'], ['social democratic party ( spd )', '251441', '30.5 % ( - 6.0 )', '41 ( - 5 )', '33.9 %'], ['green - alternative list ( gal )', '101227', '12.3 % ( + 3.7 )', '17 ( + 6 )', '14.0 %'], ['pro deutsche mitte ( pro dm / schill )... |
2008 - 09 lega pro seconda divisione | https://en.wikipedia.org/wiki/2008%E2%80%9309_Lega_Pro_Seconda_Divisione | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17702363-3.html.csv | unique | in the 2008-09 lega pro seconda divisione , the only stadium with a capacity of under 2000 was scafati . | {'scope': 'all', 'row': '15', 'col': '4', 'col_other': '2', 'criterion': 'less_than', 'value': '2000', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_less', 'args': ['all_rows', 'capacity', '2000'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose capacity record is less than 2000 .', 'tostr': 'filter_less { all_rows ; capacity ; 2000 }'}], 'result': True, 'ind': 1, 'tostr': 'only { filte... | and { only { filter_less { all_rows ; capacity ; 2000 } } ; eq { hop { filter_less { all_rows ; capacity ; 2000 } ; city } ; scafati } } = true | select the rows whose capacity record is less than 2000 . there is only one such row in the table . the city record of this unqiue row is scafati . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_less_0': 0, 'all_rows_6': 6, 'capacity_7': 7, '2000_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'city_9': 9, 'scafati_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_less_0': 'filter_less', 'all_rows_6': 'all_rows', 'capacity_7': 'capacity', '2000_8': '2000', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'city_9': 'city', 'scafati_10': 'scafati'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_less_0': [1, 2], 'all_rows_6': [0], 'capacity_7': [0], '2000_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'city_9': [2], 'scafati_10': [3]} | ['club', 'city', 'stadium', 'capacity', '200708 season'] | [['as andria bat', 'andria', 'stadio degli ulivi', '10500', '17th in serie c2 / c'], ['sf aversa normanna', 'aversa', 'stadio rinascita', '2000', '1st serie d / h'], ['ss barletta calcio', 'barletta', 'stadio cosimo puttilli', '5000', '2nd serie d / h'], ['ss cassino 1927', 'cassino', 'stadio gino salveti', '3700', '8t... |
yorkshire county cricket club in 2008 | https://en.wikipedia.org/wiki/Yorkshire_County_Cricket_Club_in_2008 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-15893020-2.html.csv | superlative | of the players in the yorkshire county cricket club in 2008 , the one with the most runs was adil rashid . | {'scope': 'all', 'col_superlative': '5', 'row_superlative': '5', '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', 'runs'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; runs }'}, 'player'], 'result': 'adil rashid', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; runs } ; player }'}, 'adil rashid'], 'result': True, 'ind': 2, 'to... | eq { hop { argmax { all_rows ; runs } ; player } ; adil rashid } = true | select the row whose runs record of all rows is maximum . the player record of this row is adil rashid . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'runs_5': 5, 'player_6': 6, 'adil rashid_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'runs_5': 'runs', 'player_6': 'player', 'adil rashid_7': 'adil rashid'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'runs_5': [0], 'player_6': [1], 'adil rashid_7': [2]} | ['player', 'matches', 'overs', 'maidens', 'runs', 'wickets', 'average', 'economy', '5w', '10w', 'best bowling'] | [['ajmal shahzad', '1', '24.0', '6', '64', '3', '21.33', '2.67', '0', '0', '2 / 43'], ['steven patterson', '4', '99.1', '23', '280', '12', '23.33', '2.82', '0', '0', '3 / 19'], ['matthew hoggard', '13', '342.5', '66', '1037', '42', '24.69', '3.02', '1', '0', '6 / 57'], ['tim bresnan', '14', '419.0', '726', '1267', '44'... |
casey martin | https://en.wikipedia.org/wiki/Casey_Martin | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1697190-2.html.csv | comparative | casey martin played more pga tournaments in 2002 than he did in 2003 . | {'row_1': '4', 'row_2': '5', 'col': '2', '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', 'year', '2002'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose year record fuzzily matches to 2002 .', 'tostr': 'filter_eq { all_rows ; year ; 2002 }'}, 'tournaments played'], 'result': None, 'ind': 2,... | greater { hop { filter_eq { all_rows ; year ; 2002 } ; tournaments played } ; hop { filter_eq { all_rows ; year ; 2003 } ; tournaments played } } = true | select the rows whose year record fuzzily matches to 2002 . take the tournaments played record of this row . select the rows whose year record fuzzily matches to 2003 . take the tournaments played 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, 'year_7': 7, '2002_8': 8, 'tournaments played_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'year_11': 11, '2003_12': 12, 'tournaments played_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', 'year_7': 'year', '2002_8': '2002', 'tournaments played_9': 'tournaments played', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'year_11': 'year', '... | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'year_7': [0], '2002_8': [0], 'tournaments played_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'year_11': [1], '2003_12': [1], 'tournaments played_13': [3]} | ['year', 'tournaments played', 'cuts made', 'wins', 'best finish', 'earnings', 'money list rank'] | [['1998', '3', '2', '0', 't - 23', '37221', '221'], ['2000', '29', '14', '0', 't - 17', '143248', '179'], ['2001', '2', '0', '0', 'cut', '0', 'n / a'], ['2002', '3', '0', '0', 'cut', '0', 'n / a'], ['2003', '1', '0', '0', 'cut', '0', 'n / a'], ['2004', '2', '2', '0', 't - 69', '15858', 'n / a'], ['2005', '1', '1', '0',... |
satpura thermal power station | https://en.wikipedia.org/wiki/Satpura_Thermal_Power_Station | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-28672269-1.html.csv | aggregation | the average installed capacity of units at the satpura thermal power station is 116.56 mw . | {'scope': 'all', 'col': '3', 'type': 'average', 'result': '116.56', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'installed capacity ( mw )'], 'result': '116.56', 'ind': 0, 'tostr': 'avg { all_rows ; installed capacity ( mw ) }'}, '116.56'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; installed capacity ( mw ) } ; 116.56 } = true', 'tointer': '... | round_eq { avg { all_rows ; installed capacity ( mw ) } ; 116.56 } = true | the average of the installed capacity ( mw ) record of all rows is 116.56 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'installed capacity ( mw )_4': 4, '116.56_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'installed capacity ( mw )_4': 'installed capacity ( mw )', '116.56_5': '116.56'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'installed capacity ( mw )_4': [0], '116.56_5': [1]} | ['stage', 'unit number', 'installed capacity ( mw )', 'date of commissioning', 'status', 'tg set provider', 'boiler provider'] | [['first', '1', '62.5', 'october , 1967', 'running', 'ge , usa', 'the babcock & wilcox company ( b & w ) , usa'], ['first', '2', '62.5', 'march , 1968', 'running', 'ge , usa', 'the babcock & wilcox company ( b & w ) , usa'], ['first', '3', '62.5', 'may , 1968', 'running', 'ge , usa', 'the babcock & wilcox company ( b &... |
1994 - 95 philadelphia flyers season | https://en.wikipedia.org/wiki/1994%E2%80%9395_Philadelphia_Flyers_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14022127-5.html.csv | superlative | the philadelphia flyers on april 22 had the highest attendance of all game during the 1994 - 95 season . | {'scope': 'all', 'col_superlative': '6', 'row_superlative': '10', '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', 'attendance'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; attendance }'}, 'date'], 'result': 'april 22', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; attendance } ; date }'}, 'april 22'], 'result': True, 'ind'... | eq { hop { argmax { all_rows ; attendance } ; date } ; april 22 } = true | select the row whose attendance record of all rows is maximum . the date record of this row is april 22 . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'attendance_5': 5, 'date_6': 6, 'april 22_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'attendance_5': 'attendance', 'date_6': 'date', 'april 22_7': 'april 22'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'attendance_5': [0], 'date_6': [1], 'april 22_7': [2]} | ['date', 'visitor', 'score', 'home', 'decision', 'attendance', 'record'] | [['april 1', 'philadelphia', '2 - 3', 'pittsburgh', 'hextall', '17181', '17 - 13 - 4'], ['april 2', 'ny rangers', '2 - 4', 'philadelphia', 'hextall', '17380', '18 - 13 - 4'], ['april 6', 'tampa bay', '4 - 5', 'philadelphia', 'hextall', '17245', '19 - 13 - 4'], ['april 8', 'philadelphia', '3 - 1', 'washington', 'hextall... |
1968 cleveland browns season | https://en.wikipedia.org/wiki/1968_Cleveland_Browns_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10652150-2.html.csv | count | a total of two games resulted in wins for the browns in the 1968 cleveland browns season . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'w', 'result': '2', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'result', 'w'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose result record fuzzily matches to w .', 'tostr': 'filter_eq { all_rows ; result ; w }'}], 'result': '2', 'ind': 1, 'tostr': 'count { filter_eq { al... | eq { count { filter_eq { all_rows ; result ; w } } ; 2 } = true | select the rows whose result record fuzzily matches to w . 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, 'result_5': 5, 'w_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', 'result_5': 'result', 'w_6': 'w', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'result_5': [0], 'w_6': [0], '2_7': [2]} | ['week', 'date', 'opponent', 'result', 'attendance'] | [['1', 'august 9 , 1968', 'los angeles rams', 'l 23 - 21', '64020'], ['2', 'august 18 , 1968', 'san francisco 49ers', 'w 31 - 17', '26801'], ['3', 'august 24 , 1968', 'new orleans saints', 'l 40 - 27', '70045'], ['4', 'august 30 , 1968', 'buffalo bills', 'w 22 - 12', '45448'], ['5', 'september 7 , 1968', 'green bay pac... |
2002 senior pga tour | https://en.wikipedia.org/wiki/2002_Senior_PGA_Tour | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11603116-4.html.csv | comparative | gil morgan had more wins in the 2002 senior pga tour than dave stockton did . | {'row_1': '2', 'row_2': '4', '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', 'player', 'gil morgan'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose player record fuzzily matches to gil morgan .', 'tostr': 'filter_eq { all_rows ; player ; gil morgan }'}, 'wins'], 'result': None,... | greater { hop { filter_eq { all_rows ; player ; gil morgan } ; wins } ; hop { filter_eq { all_rows ; player ; dave stockton } ; wins } } = true | select the rows whose player record fuzzily matches to gil morgan . take the wins record of this row . select the rows whose player record fuzzily matches to dave stockton . take the wins 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, 'player_7': 7, 'gil morgan_8': 8, 'wins_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'player_11': 11, 'dave stockton_12': 12, 'wins_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', 'player_7': 'player', 'gil morgan_8': 'gil morgan', 'wins_9': 'wins', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'player_11': 'player', 'dave sto... | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'player_7': [0], 'gil morgan_8': [0], 'wins_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'player_11': [1], 'dave stockton_12': [1], 'wins_13': [3]} | ['rank', 'player', 'country', 'earnings', 'wins'] | [['1', 'hale irwin', 'united states', '16950178', '36'], ['2', 'gil morgan', 'united states', '11092593', '21'], ['3', 'jim colbert', 'united states', '10840374', '20'], ['4', 'dave stockton', 'united states', '9735814', '14'], ['5', 'lee trevino', 'united states', '9616404', '29']] |
2006 latvian first league | https://en.wikipedia.org/wiki/2006_Latvian_First_League | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18017936-2.html.csv | superlative | the abuls smiltene team had the highest number of goals against in the 2006 latvian first league . | {'scope': 'all', 'col_superlative': '8', 'row_superlative': '16', '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', 'goals against'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; goals against }'}, 'club'], 'result': 'abuls smiltene', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; goals against } ; club }'}, 'abuls smiltene'], ... | eq { hop { argmax { all_rows ; goals against } ; club } ; abuls smiltene } = true | select the row whose goals against record of all rows is maximum . the club record of this row is abuls smiltene . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'goals against_5': 5, 'club_6': 6, 'abuls smiltene_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'goals against_5': 'goals against', 'club_6': 'club', 'abuls smiltene_7': 'abuls smiltene'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'goals against_5': [0], 'club_6': [1], 'abuls smiltene_7': [2]} | ['position', 'club', 'played', 'wins', 'draws', 'losses', 'goals for', 'goals against', 'points', 'goal difference'] | [['1', 'jfk olimps r카ga', '30', '26', '2', '2', '111', '15', '80', '+ 96'], ['2', 'fc ditton - 2 daugavpils', '30', '21', '7', '2', '88', '24', '70', '+ 64'], ['3', 'skonto - 2 riga', '30', '20', '5', '5', '78', '23', '65', '+ 55'], ['4', 'ventspils - 2', '30', '20', '4', '6', '108', '25', '64', '+ 83'], ['5', 'r카ga - ... |
2007 - 08 uleb cup | https://en.wikipedia.org/wiki/2007%E2%80%9308_ULEB_Cup | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-13570080-12.html.csv | superlative | the team elan chalon scored the most points in the 1st leg of the 2007 - 08 uleb cup . | {'scope': 'all', 'col_superlative': '4', 'row_superlative': '5', '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', '1st leg'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; 1st leg }'}, 'team 1'], 'result': 'elan chalon', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; 1st leg } ; team 1 }'}, 'elan chalon'], 'result': True, 'ind... | eq { hop { argmax { all_rows ; 1st leg } ; team 1 } ; elan chalon } = true | select the row whose 1st leg record of all rows is maximum . the team 1 record of this row is elan chalon . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, '1st leg_5': 5, 'team 1_6': 6, 'elan chalon_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', '1st leg_5': '1st leg', 'team 1_6': 'team 1', 'elan chalon_7': 'elan chalon'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], '1st leg_5': [0], 'team 1_6': [1], 'elan chalon_7': [2]} | ['team 1', 'agg', 'team 2', '1st leg', '2nd leg'] | [['asco śląsk wrocław', '161 - 177', 'dynamo moscow', '78 - 85', '83 - 92'], ['lukoil academic', '140 - 119', 'bk ventspils', '67 - 64', '73 - 55'], ['telindus bc oostende', '121 - 133', 'bc kyiv', '61 - 65', '60 - 68'], ['cez nymburk', '127 - 129', 'pge turów zgorzelec', '61 - 61', '66 - 68'], ['elan chalon', '150 - 1... |
südtirol | https://en.wikipedia.org/wiki/Politics_of_Trentino-Alto_Adige/S%C3%BCdtirol | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17305625-1.html.csv | superlative | the trento municipality has the most inhabitants in the südtirol region . | {'scope': 'all', 'col_superlative': '2', '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', 'inhabitants'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; inhabitants }'}, 'municipality'], 'result': 'trento', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; inhabitants } ; municipality }'}, 'trento'], 'resul... | eq { hop { argmax { all_rows ; inhabitants } ; municipality } ; trento } = true | select the row whose inhabitants record of all rows is maximum . the municipality record of this row is trento . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'inhabitants_5': 5, 'municipality_6': 6, 'trento_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'inhabitants_5': 'inhabitants', 'municipality_6': 'municipality', 'trento_7': 'trento'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'inhabitants_5': [0], 'municipality_6': [1], 'trento_7': [2]} | ['municipality', 'inhabitants', 'mayor', 'party', 'election'] | [['trento', '116298', 'alessandro andreatta', 'democratic party', '2009'], ['rovereto', '38167', 'andrea miorandi', 'democratic party', '2010'], ['pergine valsugana', '20582', 'silvano corradi', 'union for trentino', '2009'], ['arco', '16901', 'paolo mattei', 'democratic party', '2010'], ['riva del garda', '16170', 'ad... |
list of australian football league team songs | https://en.wikipedia.org/wiki/List_of_Australian_Football_League_team_songs | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-28243323-1.html.csv | majority | most of the team songs of the australian football league were first used in the 20th . century . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'less_than', 'value': '2000', 'subset': None} | {'func': 'most_less', 'args': ['all_rows', 'first used as team song', '2000'], 'result': True, 'ind': 0, 'tointer': 'for the first used as team song records of all rows , most of them are less than 2000 .', 'tostr': 'most_less { all_rows ; first used as team song ; 2000 } = true'} | most_less { all_rows ; first used as team song ; 2000 } = true | for the first used as team song records of all rows , most of them are less than 2000 . | 1 | 1 | {'most_less_0': 0, 'result_1': 1, 'all_rows_2': 2, 'first used as team song_3': 3, '2000_4': 4} | {'most_less_0': 'most_less', 'result_1': 'true', 'all_rows_2': 'all_rows', 'first used as team song_3': 'first used as team song', '2000_4': '2000'} | {'most_less_0': [1], 'result_1': [], 'all_rows_2': [0], 'first used as team song_3': [0], '2000_4': [0]} | ['club name', 'name of team song', 'basis for team song', 'first used as team song', 'writer / composer'] | [['adelaide', 'the pride of south australia', "us marines ' hymn", '1992', 'bill sanders'], ['brisbane lions', 'the pride of brisbane town', 'la marseillaise', '1955', 'fitzroy players'], ['carlton', 'we are the navy blues', 'lily of laguna', 'c 1930', 'carlton players'], ['collingwood', 'good old collingwood forever',... |
german submarine u - 402 | https://en.wikipedia.org/wiki/German_submarine_U-402 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18668500-1.html.csv | count | nine of the german submarines u-402 that were sunk during a raid were from great britain . | {'scope': 'subset', 'criterion': 'equal', 'value': 'great britain', 'result': '9', 'col': '3', 'subset': {'col': '5', 'criterion': 'equal', 'value': 'sunk'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'fate', 'sunk'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; fate ; sunk }', 'tointer': 'select the rows whose fate record fuzzily matches to sunk .'}, 'nationality', 'grea... | eq { count { filter_eq { filter_eq { all_rows ; fate ; sunk } ; nationality ; great britain } } ; 9 } = true | select the rows whose fate record fuzzily matches to sunk . among these rows , select the rows whose nationality record fuzzily matches to great britain . the number of such rows is 9 . | 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, 'fate_6': 6, 'sunk_7': 7, 'nationality_8': 8, 'great britain_9': 9, '9_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', 'fate_6': 'fate', 'sunk_7': 'sunk', 'nationality_8': 'nationality', 'great britain_9': 'great britain', '9_10': '9'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_str_eq_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'fate_6': [0], 'sunk_7': [0], 'nationality_8': [1], 'great britain_9': [1], '9_10': [3]} | ['date', 'ship', 'nationality', 'tonnage', 'fate'] | [['16 may 1941', 'llangibby castle', 'great britain', '11951', 'damaged'], ['13 april 1942', 'empire progress', 'great britain', '5249', 'sunk'], ['30 april 1942', 'ashkhabad', 'soviet union', '5284', 'sunk'], ['2 may 1942', 'uss cythera', 'usa', '602', 'sunk'], ['2 november 1942', 'dalcroy', 'great britain', '4558', '... |
australian region tropical cyclone climatology | https://en.wikipedia.org/wiki/Australian_region_tropical_cyclone_climatology | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14617522-3.html.csv | majority | the majority of seasons had more than 10 tropical lows in the australian region . | {'scope': 'all', 'col': '2', 'most_or_all': 'most', 'criterion': 'greater_than', 'value': '10', 'subset': None} | {'func': 'most_greater', 'args': ['all_rows', 'tropical lows', '10'], 'result': True, 'ind': 0, 'tointer': 'for the tropical lows records of all rows , most of them are greater than 10 .', 'tostr': 'most_greater { all_rows ; tropical lows ; 10 } = true'} | most_greater { all_rows ; tropical lows ; 10 } = true | for the tropical lows records of all rows , most of them are greater than 10 . | 1 | 1 | {'most_greater_0': 0, 'result_1': 1, 'all_rows_2': 2, 'tropical lows_3': 3, '10_4': 4} | {'most_greater_0': 'most_greater', 'result_1': 'true', 'all_rows_2': 'all_rows', 'tropical lows_3': 'tropical lows', '10_4': '10'} | {'most_greater_0': [1], 'result_1': [], 'all_rows_2': [0], 'tropical lows_3': [0], '10_4': [0]} | ['season', 'tropical lows', 'tropical cyclones', 'severe tropical cyclones', 'strongest storm'] | [['1990 - 91', '10', '10', '7', 'marian'], ['1991 - 92', '11', '10', '9', 'jane - irna'], ['1992 - 93', '6', '3', '1', 'oliver'], ['1993 - 94', '12', '11', '7', 'theodore'], ['1994 - 95', '19', '9', '6', 'chloe'], ['1995 - 96', '19', '14', '9', 'olivia'], ['1996 - 97', '15', '14', '3', 'pancho'], ['1997 - 98', '10', '9... |
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 | unique | clyde l garrett was the only incumbent whose result was ' lost renomination democratic hold ' . | {'scope': 'all', 'row': '15', 'col': '5', 'col_other': '2', 'criterion': 'equal', 'value': 'lost renomination democratic hold', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'result', 'lost renomination democratic hold'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose result record fuzzily matches to lost renomination democratic hold .', 'tostr': 'filter_eq { all_rows ; result ; l... | and { only { filter_eq { all_rows ; result ; lost renomination democratic hold } } ; eq { hop { filter_eq { all_rows ; result ; lost renomination democratic hold } ; incumbent } ; clyde l garrett } } = true | select the rows whose result record fuzzily matches to lost renomination democratic hold . there is only one such row in the table . the incumbent record of this unqiue row is clyde l garrett . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'result_7': 7, 'lost renomination democratic hold_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'incumbent_9': 9, 'clyde l garrett_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'result_7': 'result', 'lost renomination democratic hold_8': 'lost renomination democratic hold', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'incumbent_9': 'incumbent', 'clyde l garrett_10': 'clyde l ... | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'result_7': [0], 'lost renomination democratic hold_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'incumbent_9': [2], 'clyde l garrett_10': [3]} | ['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'], ['... |
tokyo indoor | https://en.wikipedia.org/wiki/Tokyo_Indoor | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17660329-1.html.csv | comparative | jimmy connors won the seiko world super tennis earlier than john mcenroe did . | {'row_1': '3', 'row_2': '5', 'col': '1', 'col_other': '3', 'relation': 'less', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'less', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'champions', 'jimmy connors'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose champions record fuzzily matches to jimmy connors .', 'tostr': 'filter_eq { all_rows ; champions ; jimmy connors }'}, 'year'], ... | less { hop { filter_eq { all_rows ; champions ; jimmy connors } ; year } ; hop { filter_eq { all_rows ; champions ; john mcenroe } ; year } } = true | select the rows whose champions record fuzzily matches to jimmy connors . take the year record of this row . select the rows whose champions record fuzzily matches to john mcenroe . take the year 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, 'champions_7': 7, 'jimmy connors_8': 8, 'year_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'champions_11': 11, 'john mcenroe_12': 12, 'year_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', 'champions_7': 'champions', 'jimmy connors_8': 'jimmy connors', 'year_9': 'year', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'champions_11': 'champions... | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'champions_7': [0], 'jimmy connors_8': [0], 'year_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'champions_11': [1], 'john mcenroe_12': [1], 'year_13': [3]} | ['year', 'name of tournament', 'champions', 'runners - up', 'score'] | [['1978', 'seiko world super tennis', 'björn borg', 'brian teacher', '6 - 3 , 6 - 4'], ['1979', 'seiko world super tennis', 'björn borg', 'jimmy connors', '6 - 2 , 6 - 2'], ['1980', 'seiko world super tennis', 'jimmy connors', 'tom gullikson', '6 - 1 , 6 - 2'], ['1981', 'seiko world super tennis', 'vincent van patten',... |
districts of peru | https://en.wikipedia.org/wiki/Districts_of_Peru | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-2251578-4.html.csv | aggregation | the median elevation of the 19 highest districts of peru is 4390 meters . | {'scope': 'all', 'col': '6', 'type': 'average', 'result': '4390', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'elevation ( m )'], 'result': '4390', 'ind': 0, 'tostr': 'avg { all_rows ; elevation ( m ) }'}, '4390'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; elevation ( m ) } ; 4390 } = true', 'tointer': 'the average of the elevation ( m ) r... | round_eq { avg { all_rows ; elevation ( m ) } ; 4390 } = true | the average of the elevation ( m ) record of all rows is 4390 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'elevation (m)_4': 4, '4390_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'elevation (m)_4': 'elevation ( m )', '4390_5': '4390'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'elevation (m)_4': [0], '4390_5': [1]} | ['', 'district', 'province', 'region', 'ubigeo', 'elevation ( m )'] | [['1', 'suykutambo', 'espinar', 'cusco', '80807', '4801'], ['2', 'condoroma', 'espinar', 'cusco', '80802', '4737'], ['3', 'san antonio', 'puno', 'puno', '210113', '4700'], ['4', 'ananea', 'san antonio de putina', 'puno', '211002', '4660'], ['5', 'morococha', 'yauli', 'junín', '120805', '4550'], ['6', 'san antonio de ch... |
atherstone nature reserve | https://en.wikipedia.org/wiki/Atherstone_Nature_Reserve | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-20042805-2.html.csv | unique | the egyptian goose is the only type of goose at the atherstone nature reserve . | {'scope': 'all', 'row': '1', 'col': '1', 'col_other': 'n/a', 'criterion': 'equal', 'value': 'egyptian goose', 'subset': None} | {'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'ostrich', 'egyptian goose'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose ostrich record fuzzily matches to egyptian goose .', 'tostr': 'filter_eq { all_rows ; ostrich ; egyptian goose }'}], 'result': True, 'ind': 1, 'tostr': 'only... | only { filter_eq { all_rows ; ostrich ; egyptian goose } } = true | select the rows whose ostrich record fuzzily matches to egyptian goose . there is only one such row in the table . | 2 | 2 | {'only_1': 1, 'result_2': 2, 'filter_str_eq_0': 0, 'all_rows_3': 3, 'ostrich_4': 4, 'egyptian goose_5': 5} | {'only_1': 'only', 'result_2': 'true', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_3': 'all_rows', 'ostrich_4': 'ostrich', 'egyptian goose_5': 'egyptian goose'} | {'only_1': [2], 'result_2': [], 'filter_str_eq_0': [1], 'all_rows_3': [0], 'ostrich_4': [0], 'egyptian goose_5': [0]} | ['ostrich', 'hamerkop', 'hadeda ibis', 'african spoonbill', 'whitefaced duck', 'knobbilled duck'] | [['egyptian goose', 'secretary bird', 'cape vulture', 'lappet - faced vulture', 'white - backed vulture', 'tawny eagle'], ["wahlberg 's eagle", 'martial eagle', 'brown snake eagle', 'black - breasted snake eagle', 'bateleur', 'african fish eagle'], ['dark chanting goshawk', 'gabar goshawk', 'crested francolin', "swains... |
list of vancouver canucks draft picks | https://en.wikipedia.org/wiki/List_of_Vancouver_Canucks_draft_picks | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11636955-5.html.csv | unique | dennis ververgaert was chosen with the 3rd pick in the 1st rounds . | {'scope': 'all', 'row': '1', 'col': '2', 'col_other': '3', 'criterion': 'equal', 'value': '3', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'pick', '3'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose pick record is equal to 3 .', 'tostr': 'filter_eq { all_rows ; pick ; 3 }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; pick ; 3... | and { only { filter_eq { all_rows ; pick ; 3 } } ; eq { hop { filter_eq { all_rows ; pick ; 3 } ; player } ; dennis ververgaert } } = true | select the rows whose pick record is equal to 3 . there is only one such row in the table . the player record of this unqiue row is dennis ververgaert . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_eq_0': 0, 'all_rows_6': 6, 'pick_7': 7, '3_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'player_9': 9, 'dennis ververgaert_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_eq_0': 'filter_eq', 'all_rows_6': 'all_rows', 'pick_7': 'pick', '3_8': '3', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'player_9': 'player', 'dennis ververgaert_10': 'dennis ververgaert'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_eq_0': [1, 2], 'all_rows_6': [0], 'pick_7': [0], '3_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'player_9': [2], 'dennis ververgaert_10': [3]} | ['rd', 'pick', 'player', 'reg gp', 'pl gp'] | [['1', '3', 'dennis ververgaert', '409', '3'], ['1', '9', 'bob dailey', '257', '7'], ['2', '19', 'paulin bordeleau', '183', '5'], ['3', '35', 'paul sheard', '0', '0'], ['4', '51', 'keith mackie', '0', '0'], ['5', '67', "paul o'neil", '5', '0'], ['6', '83', 'jim cowell', '0', '0'], ['7', '99', 'clay hebenton', '0', '0']... |
1975 - 76 fa cup | https://en.wikipedia.org/wiki/1975%E2%80%9376_FA_Cup | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18726561-4.html.csv | count | there were a total of three replays between january 27 and january 28 . | {'scope': 'all', 'criterion': 'equal', 'value': 'replay', 'result': '3', 'col': '1', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'tie no', 'replay'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose tie no record fuzzily matches to replay .', 'tostr': 'filter_eq { all_rows ; tie no ; replay }'}], 'result': '3', 'ind': 1, 'tostr': 'count {... | eq { count { filter_eq { all_rows ; tie no ; replay } } ; 3 } = true | select the rows whose tie no record fuzzily matches to replay . 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, 'tie no_5': 5, 'replay_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', 'tie no_5': 'tie no', 'replay_6': 'replay', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'tie no_5': [0], 'replay_6': [0], '3_7': [2]} | ['tie no', 'home team', 'score', 'away team', 'date'] | [['1', 'southampton', '3 - 1', 'blackpool', '24 january 1976'], ['2', 'leicester city', '1 - 0', 'bury', '24 january 1976'], ['3', 'west bromwich albion', '3 - 2', 'lincoln city', '24 january 1976'], ['4', 'sunderland', '1 - 0', 'hull city', '2 february 1976'], ['5', 'derby county', '1 - 0', 'liverpool', '24 january 19... |
list of amusement park rankings | https://en.wikipedia.org/wiki/List_of_amusement_park_rankings | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16578883-7.html.csv | comparative | in the rankings for amusement parks , water country usa was ranked two positions lower than siam water park . | {'row_1': '20', 'row_2': '18', 'col': '1', 'col_other': '2', 'relation': 'diff', 'record_mentioned': 'yes', 'diff_result': {'diff_value': '2', 'bigger': 'row1'}} | {'func': 'and', 'args': [{'func': 'eq', 'args': [{'func': 'diff', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'water park', 'water country usa'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose water park record fuzzily matches to water country usa .', 'tostr': 'filt... | and { eq { diff { hop { filter_eq { all_rows ; water park ; water country usa } ; rank } ; hop { filter_eq { all_rows ; water park ; siam water park } ; rank } } ; 2 } ; and { eq { hop { filter_eq { all_rows ; water park ; water country usa } ; rank } ; 20 } ; eq { hop { filter_eq { all_rows ; water park ; siam water p... | select the rows whose water park record fuzzily matches to water country usa . take the rank record of this row . select the rows whose water park record fuzzily matches to siam water park . take the rank record of this row . the first record is 2 larger than the second record . the rank record of the first row is 20 .... | 14 | 10 | {'and_9': 9, 'result_10': 10, 'eq_5': 5, 'diff_4': 4, 'num_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_11': 11, 'water park_12': 12, 'water country usa_13': 13, 'rank_14': 14, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_15': 15, 'water park_16': 16, 'siam water park_17': 17, 'rank_18': 18, '2_19': 19, 'and_8': 8, 'e... | {'and_9': 'and', 'result_10': 'true', 'eq_5': 'eq', 'diff_4': 'diff', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_11': 'all_rows', 'water park_12': 'water park', 'water country usa_13': 'water country usa', 'rank_14': 'rank', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_row... | {'and_9': [10], 'result_10': [], 'eq_5': [9], 'diff_4': [5], 'num_hop_2': [4, 6], 'filter_str_eq_0': [2], 'all_rows_11': [0], 'water park_12': [0], 'water country usa_13': [0], 'rank_14': [2], 'num_hop_3': [4, 7], 'filter_str_eq_1': [3], 'all_rows_15': [1], 'water park_16': [1], 'siam water park_17': [1], 'rank_18': [3... | ['rank', 'water park', 'location', '2011', '2012'] | [['1', 'typhoon lagoon at walt disney world resort', 'lake buena vista , florida , usa', '2058000', '2100000'], ['2', 'chime - long water park', 'guangzhou , china', '1900000', '2021000'], ['3', 'blizzard beach at walt disney world resort', 'lake buena vista , florida , usa', '1891000', '1929000'], ['4', 'ocean world',... |
2006 formula nippon season | https://en.wikipedia.org/wiki/2006_Formula_Nippon_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10264179-2.html.csv | majority | mobilecast impul was the winning team in the majority of these races . | {'scope': 'all', 'col': '7', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'mobilecast impul', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'winning team', 'mobilecast impul'], 'result': True, 'ind': 0, 'tointer': 'for the winning team records of all rows , most of them fuzzily match to mobilecast impul .', 'tostr': 'most_eq { all_rows ; winning team ; mobilecast impul } = true'} | most_eq { all_rows ; winning team ; mobilecast impul } = true | for the winning team records of all rows , most of them fuzzily match to mobilecast impul . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'winning team_3': 3, 'mobilecast impul_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'winning team_3': 'winning team', 'mobilecast impul_4': 'mobilecast impul'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'winning team_3': [0], 'mobilecast impul_4': [0]} | ['round', 'circuit', 'date', 'pole position', 'fastest lap', 'winning driver', 'winning team'] | [['1', 'fuji speedway', '2 april', 'benoît tréluyer', 'masataka yanagida', 'benoît tréluyer', 'mobilecast impul'], ['2', 'suzuka circuit', '16 april', 'benoît tréluyer', 'benoît tréluyer', 'loïc duval', 'piaa nakajima'], ['3', 'twin ring motegi', '28 may', 'takashi kogure', 'tsugio matsuda', 'andré lotterer', "dhg tom ... |
kprd | https://en.wikipedia.org/wiki/KPRD | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14993404-1.html.csv | count | there are 3 kprd station below the 100 frequency . | {'scope': 'all', 'criterion': 'less_than', 'value': '100', 'result': '3', 'col': '2', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_less', 'args': ['all_rows', 'frequency mhz', '100'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose frequency mhz record is less than 100 .', 'tostr': 'filter_less { all_rows ; frequency mhz ; 100 }'}], 'result': '3', 'ind': 1, 'tostr': 'c... | eq { count { filter_less { all_rows ; frequency mhz ; 100 } } ; 3 } = true | select the rows whose frequency mhz record is less than 100 . the number of such rows is 3 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_less_0': 0, 'all_rows_4': 4, 'frequency mhz_5': 5, '100_6': 6, '3_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_less_0': 'filter_less', 'all_rows_4': 'all_rows', 'frequency mhz_5': 'frequency mhz', '100_6': '100', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_less_0': [1], 'all_rows_4': [0], 'frequency mhz_5': [0], '100_6': [0], '3_7': [2]} | ['call sign', 'frequency mhz', 'city of license', 'erp w', 'class', 'fcc info'] | [['k202bp', '88.3', 'bellaire , smith county , kansas', '78', 'd', 'fcc'], ['k216ed', '91.1', 'phillipsburg , kansas', '222', 'd', 'fcc'], ['k241an', '96.1', 'pratt , kansas', '250', 'd', 'fcc'], ['k278ap', '103.5', 'lewis , kansas', '171', 'd', 'fcc'], ['k297ai', '107.3', 'hill city , kansas', '170', 'd', 'fcc']] |
1966 in brazilian football | https://en.wikipedia.org/wiki/1966_in_Brazilian_football | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15220905-2.html.csv | majority | in 1966 brazilian football , most of the teams scored at least nine points . | {'scope': 'all', 'col': '3', 'most_or_all': 'most', 'criterion': 'greater_than_eq', 'value': '9', 'subset': None} | {'func': 'most_greater_eq', 'args': ['all_rows', 'points', '9'], 'result': True, 'ind': 0, 'tointer': 'for the points records of all rows , most of them are greater than or equal to 9 .', 'tostr': 'most_greater_eq { all_rows ; points ; 9 } = true'} | most_greater_eq { all_rows ; points ; 9 } = true | for the points records of all rows , most of them are greater than or equal to 9 . | 1 | 1 | {'most_greater_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'points_3': 3, '9_4': 4} | {'most_greater_eq_0': 'most_greater_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'points_3': 'points', '9_4': '9'} | {'most_greater_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'points_3': [0], '9_4': [0]} | ['position', 'team', 'points', 'played', 'drawn', 'lost', 'against', 'difference'] | [['1', 'botafogo', '11', '9', '3', '2', '11', '8'], ['2', 'santos', '11', '9', '3', '2', '11', '7'], ['3', 'vasco da gama', '11', '9', '1', '3', '11', '1'], ['4', 'corinthians', '11', '9', '1', '3', '15', '0'], ['5', 'são paulo', '10', '9', '0', '4', '11', '3'], ['6', 'palmeiras', '9', '9', '1', '4', '13', '- 2'], ['7'... |
documentary film festivals | https://en.wikipedia.org/wiki/Documentary_film_festivals | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12757263-2.html.csv | comparative | the yogyakarta documentary film festival was established before the vibgyor international film festival . | {'row_1': '6', 'row_2': '5', 'col': '2', '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', 'name', 'yogyakarta documentary film festival'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose name record fuzzily matches to yogyakarta documentary film festival .', 'tostr': 'filter_eq { all_rows ; name... | less { hop { filter_eq { all_rows ; name ; yogyakarta documentary film festival } ; est } ; hop { filter_eq { all_rows ; name ; vibgyor international film festival } ; est } } = true | select the rows whose name record fuzzily matches to yogyakarta documentary film festival . take the est record of this row . select the rows whose name record fuzzily matches to vibgyor international film festival . take the est 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, 'name_7': 7, 'yogyakarta documentary film festival_8': 8, 'est_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'name_11': 11, 'vibgyor international film festival_12': 12, 'est_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', 'name_7': 'name', 'yogyakarta documentary film festival_8': 'yogyakarta documentary film festival', 'est_9': 'est', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all... | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'name_7': [0], 'yogyakarta documentary film festival_8': [0], 'est_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'name_11': [1], 'vibgyor international film festival_12': [1], 'est_13': [3]} | ['name', 'est', 'city', 'country', 'website'] | [['development film festival', '2005', 'chennai', 'india', 'wwwdhanorg / dff'], ['culture unplugged film festival', '2007', 'india', 'india', 'wwwcultureunpluggedcom'], ['dox box - ayyam cinema al waqe', '2008', 'damascus', 'syria', 'wwwdox - boxorg'], ['freedom film fest', '2003', 'malaysia', 'malaysia', 'freedomfilmf... |
vk selver tallinn | https://en.wikipedia.org/wiki/VK_Selver_Tallinn | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-25058562-2.html.csv | ordinal | for vk selver tallinn , the 2nd tallest player is argo meresaar . | {'row': '5', 'col': '5', 'order': '2', 'col_other': '3', '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', 'height', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; height ; 2 }'}, 'player'], 'result': 'argo meresaar ( c )', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; height ; 2 } ; player }'}, 'argo ... | eq { hop { nth_argmax { all_rows ; height ; 2 } ; player } ; argo meresaar ( c ) } = true | select the row whose height record of all rows is 2nd maximum . the player record of this row is argo meresaar ( c ) . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'height_5': 5, '2_6': 6, 'player_7': 7, 'argo meresaar (c)_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', 'height_5': 'height', '2_6': '2', 'player_7': 'player', 'argo meresaar (c)_8': 'argo meresaar ( c )'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'height_5': [0], '2_6': [0], 'player_7': [1], 'argo meresaar (c)_8': [2]} | ['shirt no', 'nationality', 'player', 'birth date', 'height', 'position'] | [['1', 'estonia', 'meelis kivisild', 'july 28 , 1990 ( age23 )', '199', 'middle blocker'], ['2', 'estonia', 'keiro vantsi', 'december 29 , 1993 ( age20 )', '191', 'setter'], ['3', 'estonia', 'martti keel', 'january 30 , 1992 ( age22 )', '188', 'setter'], ['4', 'estonia', 'timo tammemaa', 'november 18 , 1991 ( age22 )',... |
transouth athletic conference | https://en.wikipedia.org/wiki/TranSouth_Athletic_Conference | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1715730-2.html.csv | comparative | more people attend the school located in cleveland than the school in birmingham . | {'row_1': '4', 'row_2': '2', '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', 'location', 'cleveland , tennessee'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose location record fuzzily matches to cleveland , tennessee .', 'tostr': 'filter_eq { all_rows ; location ; cleveland , ... | greater { hop { filter_eq { all_rows ; location ; cleveland , tennessee } ; enrollment } ; hop { filter_eq { all_rows ; location ; birmingham , alabama } ; enrollment } } = true | select the rows whose location record fuzzily matches to cleveland , tennessee . take the enrollment record of this row . select the rows whose location record fuzzily matches to birmingham , alabama . take the enrollment 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, 'location_7': 7, 'cleveland , tennessee_8': 8, 'enrollment_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'location_11': 11, 'birmingham , alabama_12': 12, 'enrollment_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', 'location_7': 'location', 'cleveland , tennessee_8': 'cleveland , tennessee', 'enrollment_9': 'enrollment', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_r... | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'location_7': [0], 'cleveland , tennessee_8': [0], 'enrollment_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'location_11': [1], 'birmingham , alabama_12': [1], 'enrollment_13': [3]} | ['location', 'founded', 'type', 'enrollment', 'nickname', 'joined', 'left', 'current conference'] | [['mount berry , georgia', '1902', 'private', '1937', 'vikings', '1996', '2004', 'saa ( ncaa division iii )'], ['birmingham , alabama', '1856', 'private', '1400', 'panthers', '1996', '2001', 'saa ( ncaa division iii )'], ['nashville , tennessee', '1891', 'private', '4278', 'bisons', '1996', '2001', 'atlantic sun ( a - ... |
maurício gugelmin | https://en.wikipedia.org/wiki/Maur%C3%ADcio_Gugelmin | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1226502-2.html.csv | aggregation | the average number of points for mauricio gugelmin is 2.33 . | {'scope': 'all', 'col': '5', 'type': 'average', 'result': '2.33', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'pts'], 'result': '2.33', 'ind': 0, 'tostr': 'avg { all_rows ; pts }'}, '2.33'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; pts } ; 2.33 } = true', 'tointer': 'the average of the pts record of all rows is 2.33 .'} | round_eq { avg { all_rows ; pts } ; 2.33 } = true | the average of the pts record of all rows is 2.33 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'pts_4': 4, '2.33_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'pts_4': 'pts', '2.33_5': '2.33'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'pts_4': [0], '2.33_5': [1]} | ['year', 'entrant', 'chassis', 'engine', 'pts'] | [['1988', 'leyton house march racing team', 'march 881', 'judd v8', '5'], ['1989', 'leyton house racing', 'march 881', 'judd v8', '4'], ['1989', 'leyton house racing', 'march cg891', 'judd v8', '4'], ['1990', 'leyton house', 'leyton house cg901', 'judd v8', '1'], ['1991', 'leyton house', 'leyton house cg911', 'ilmor v1... |
2009 world rally championship season | https://en.wikipedia.org/wiki/2009_World_Rally_Championship_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18811741-15.html.csv | majority | most of the drivers scored at least 6 points or more during the 2009 world rally championship season . | {'scope': 'all', 'col': '7', 'most_or_all': 'most', 'criterion': 'greater_than_eq', 'value': '7', 'subset': None} | {'func': 'most_greater_eq', 'args': ['all_rows', 'points', '7'], 'result': True, 'ind': 0, 'tointer': 'for the points records of all rows , most of them are greater than or equal to 7 .', 'tostr': 'most_greater_eq { all_rows ; points ; 7 } = true'} | most_greater_eq { all_rows ; points ; 7 } = true | for the points records of all rows , most of them are greater than or equal to 7 . | 1 | 1 | {'most_greater_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'points_3': 3, '7_4': 4} | {'most_greater_eq_0': 'most_greater_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'points_3': 'points', '7_4': '7'} | {'most_greater_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'points_3': [0], '7_4': [0]} | ['driver', 'starts', 'finishes', 'wins', 'podiums', 'stage wins', 'points'] | [['sébastien loeb', '12', '11', '7', '9', '88', '93'], ['mikko hirvonen', '12', '11', '4', '11', '51', '92'], ['daniel sordo', '12', '12', '0', '7', '18', '64'], ['jari - matti latvala', '12', '10', '1', '4', '40', '41'], ['petter solberg', '10', '7', '0', '2', '10', '35'], ['henning solberg', '12', '12', '0', '2', '8'... |
1977 san francisco 49ers season | https://en.wikipedia.org/wiki/1977_San_Francisco_49ers_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18673955-1.html.csv | comparative | the san francisco 49ers had a game against the minnesota vikings earlier than green bay packers . | {'row_1': '12', 'row_2': '14', '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', 'opponent', 'minnesota vikings'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose opponent record fuzzily matches to minnesota vikings .', 'tostr': 'filter_eq { all_rows ; opponent ; minnesota vikings }'}, ... | less { hop { filter_eq { all_rows ; opponent ; minnesota vikings } ; date } ; hop { filter_eq { all_rows ; opponent ; green bay packers } ; date } } = true | select the rows whose opponent record fuzzily matches to minnesota vikings . take the date record of this row . select the rows whose opponent record fuzzily matches to green bay packers . 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, 'opponent_7': 7, 'minnesota vikings_8': 8, 'date_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'opponent_11': 11, 'green bay packers_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', 'opponent_7': 'opponent', 'minnesota vikings_8': 'minnesota vikings', 'date_9': 'date', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'opponent_11': 'oppo... | {'less_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'opponent_7': [0], 'minnesota vikings_8': [0], 'date_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'opponent_11': [1], 'green bay packers_12': [1], 'date_13': [3]} | ['week', 'date', 'opponent', 'result', 'attendance'] | [['1', 'september 19 , 1977', 'pittsburgh steelers', 'l 27 - 0', '48046'], ['2', 'september 25 , 1977', 'miami dolphins', 'l 19 - 15', '40503'], ['3', 'october 2 , 1977', 'los angeles rams', 'l 34 - 14', '55466'], ['4', 'october 9 , 1977', 'atlanta falcons', 'l 7 - 0', '38009'], ['5', 'october 16 , 1977', 'new york gia... |
2007 - 08 dallas mavericks season | https://en.wikipedia.org/wiki/2007%E2%80%9308_Dallas_Mavericks_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11963209-7.html.csv | majority | all games of the 2007 - 08 dallas mavericks ' season were scheduled for the month of february . | {'scope': 'all', 'col': '1', 'most_or_all': 'all', 'criterion': 'equal', 'value': 'february', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'date', 'february'], 'result': True, 'ind': 0, 'tointer': 'for the date records of all rows , all of them fuzzily match to february .', 'tostr': 'all_eq { all_rows ; date ; february } = true'} | all_eq { all_rows ; date ; february } = true | for the date records of all rows , all of them fuzzily match to february . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'date_3': 3, 'february_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'date_3': 'date', 'february_4': 'february'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'date_3': [0], 'february_4': [0]} | ['date', 'visitor', 'score', 'home', 'leading scorer', 'attendance', 'record'] | [['3 february 2008', 'mavericks', '67 - 90', 'pistons', 'two - way tie ( 15 )', '22076', '31 - 15'], ['4 february 2008', 'mavericks', '107 - 98', 'magic', 'josh howard ( 28 )', '16974', '32 - 15'], ['6 february 2008', 'bucks', '96 - 107', 'mavericks', 'dirk nowitzki ( 29 )', '20079', '33 - 15'], ['8 february 2008', 'gr... |
mark mcnulty | https://en.wikipedia.org/wiki/Mark_McNulty | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1601826-4.html.csv | unique | only in the charles schwab cup championship in 2004 was a winning score of less than 180 achieved . | {'scope': 'all', 'row': '3', 'col': '3', 'col_other': '2', 'criterion': 'less_than', 'value': '180', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_less', 'args': ['all_rows', 'winning score', '180'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose winning score record is less than 180 .', 'tostr': 'filter_less { all_rows ; winning score ; 180 }'}], 'result': True, 'ind': 1, 'tostr': '... | and { only { filter_less { all_rows ; winning score ; 180 } } ; eq { hop { filter_less { all_rows ; winning score ; 180 } ; tournament } ; charles schwab cup championship } } = true | select the rows whose winning score record is less than 180 . there is only one such row in the table . the tournament record of this unqiue row is charles schwab cup championship . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_less_0': 0, 'all_rows_6': 6, 'winning score_7': 7, '180_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'tournament_9': 9, 'charles schwab cup championship_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_less_0': 'filter_less', 'all_rows_6': 'all_rows', 'winning score_7': 'winning score', '180_8': '180', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'tournament_9': 'tournament', 'charles schwab cup championship_10': 'charles schwab cup championship'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_less_0': [1, 2], 'all_rows_6': [0], 'winning score_7': [0], '180_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'tournament_9': [2], 'charles schwab cup championship_10': [3]} | ['date', 'tournament', 'winning score', 'margin of victory', 'runner ( s ) - up'] | [['22 feb 2004', 'outback steakhouse pro - am', '13 ( 67 + 65 + 68 = 200 )', '1 stroke', 'larry nelson'], ['17 oct 2004', 'sbc championship', '18 ( 67 + 63 + 65 = 195 )', '8 strokes', 'gary mccord'], ['24 oct 2004', 'charles schwab cup championship', '11 ( 69 + 74 + 68 + 66 = 177 )', '1 stroke', 'tom kite'], ['26 jun 2... |
chad little | https://en.wikipedia.org/wiki/Chad_Little | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1875157-2.html.csv | comparative | chad little achieved a lower position in 1992 than in 1995 . | {'row_1': '1', 'row_2': '4', 'col': '10', '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', 'year', '1992'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose year record fuzzily matches to 1992 .', 'tostr': 'filter_eq { all_rows ; year ; 1992 }'}, 'position'], 'result': None, 'ind': 2, 'tostr': ... | greater { hop { filter_eq { all_rows ; year ; 1992 } ; position } ; hop { filter_eq { all_rows ; year ; 1995 } ; position } } = true | select the rows whose year record fuzzily matches to 1992 . take the position record of this row . select the rows whose year record fuzzily matches to 1995 . take the position 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, 'year_7': 7, '1992_8': 8, 'position_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'year_11': 11, '1995_12': 12, 'position_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', 'year_7': 'year', '1992_8': '1992', 'position_9': 'position', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'year_11': 'year', '1995_12': '1995', 'p... | {'greater_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'year_7': [0], '1992_8': [0], 'position_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'year_11': [1], '1995_12': [1], 'position_13': [3]} | ['year', 'starts', 'wins', 'top 5', 'top 10', 'poles', 'avg start', 'avg finish', 'winnings', 'position', 'team ( s )'] | [['1992', '1', '0', '0', '0', '0', '29.0', '29.0', '1400', '120th', '37 little racing'], ['1993', '12', '0', '2', '3', '0', '22.1', '22.6', '56508', '32nd', '23 mark rypien motorsports'], ['1994', '28', '0', '10', '14', '0', '21.0', '11.9', '234022', '3rd', '23 mark rypien motorsports'], ['1995', '26', '6', '11', '13',... |
list of bradford city a.f.c. records and statistics | https://en.wikipedia.org/wiki/List_of_Bradford_City_A.F.C._records_and_statistics | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15278857-2.html.csv | count | a total of three different players have recorded a number of 64 goals for bradford city a.f.c. | {'scope': 'all', 'criterion': 'equal', 'value': '64', 'result': '3', 'col': '2', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'goals', '64'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose goals record is equal to 64 .', 'tostr': 'filter_eq { all_rows ; goals ; 64 }'}], 'result': '3', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; go... | eq { count { filter_eq { all_rows ; goals ; 64 } } ; 3 } = true | select the rows whose goals record is equal to 64 . the number of such rows is 3 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_eq_0': 0, 'all_rows_4': 4, 'goals_5': 5, '64_6': 6, '3_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_eq_0': 'filter_eq', 'all_rows_4': 'all_rows', 'goals_5': 'goals', '64_6': '64', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_eq_0': [1], 'all_rows_4': [0], 'goals_5': [0], '64_6': [0], '3_7': [2]} | ['name', 'goals', 'apps', 'avge', 'career'] | [['bobby campbell', '121', '274', '0.44', '1979 - 1983 , 1983 - 1986'], ["frank o'rourke", '88', '192', '0.46', '1907 - 1914'], ['dean windass', '76', '216', '0.35', '1999 - 2001 , 2003 - 2007'], ['john hallows', '74', '164', '0.45', '1930 - 1936'], ['joe cooke', '68', '271', '0.25', '1971 - 1979 , 1981 - 1984'], ['ger... |
yanam | https://en.wikipedia.org/wiki/Yanam | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1404939-5.html.csv | comparative | chandernagore had a de facto transfer date that 's earlier than karikal . | {'row_1': '2', 'row_2': '3', 'col': '3', 'col_other': '1', 'relation': 'less', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'less', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'colony', 'chandernagore'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose colony record fuzzily matches to chandernagore .', 'tostr': 'filter_eq { all_rows ; colony ; chandernagore }'}, 'de facto transfer... | less { hop { filter_eq { all_rows ; colony ; chandernagore } ; de facto transfer } ; hop { filter_eq { all_rows ; colony ; karikal } ; de facto transfer } } = true | select the rows whose colony record fuzzily matches to chandernagore . take the de facto transfer record of this row . select the rows whose colony record fuzzily matches to karikal . take the de facto transfer 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, 'colony_7': 7, 'chandernagore_8': 8, 'de facto transfer_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'colony_11': 11, 'karikal_12': 12, 'de facto transfer_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', 'colony_7': 'colony', 'chandernagore_8': 'chandernagore', 'de facto transfer_9': 'de facto transfer', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'colon... | {'less_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'colony_7': [0], 'chandernagore_8': [0], 'de facto transfer_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'colony_11': [1], 'karikal_12': [1], 'de facto transfer_13': [3]} | ['colony', 'liberation', 'de facto transfer', 'treaty of cession', 'de jure transfer', 'merger'] | [['pondichéry', '-', '1 november 1954', '28 may 1956', '16 august 1963', '1 july 1963'], ['chandernagore', '-', '26 june 1949', '28 february 1951', '9 june 1952', '1 october 1954'], ['karikal', '-', '1 november 1954', '28 may 1956', '16 august 1963', '1 july 1963'], ['mahé', '16 june 1954', '1 november 1954', '28 may 1... |
jacksonville jaguars draft history | https://en.wikipedia.org/wiki/Jacksonville_Jaguars_draft_history | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15100419-7.html.csv | aggregation | the average pick for jacksonville jaguars draft history is 20.8 . | {'scope': 'all', 'col': '2', 'type': 'average', 'result': '20.8', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'pick'], 'result': '20.8', 'ind': 0, 'tostr': 'avg { all_rows ; pick }'}, '20.8'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; pick } ; 20.8 } = true', 'tointer': 'the average of the pick record of all rows is 20.8 .'} | round_eq { avg { all_rows ; pick } ; 20.8 } = true | the average of the pick record of all rows is 20.8 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'pick_4': 4, '20.8_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'pick_4': 'pick', '20.8_5': '20.8'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'pick_4': [0], '20.8_5': [1]} | ['round', 'pick', 'overall', 'name', 'position', 'college'] | [['1', '13', '13', 'marcus stroud', 'defensive tackle', 'georgia'], ['2', '12', '43', 'maurice williams', 'offensive tackle', 'michigan'], ['3', '11', '73', 'eric westmoreland', 'linebacker', 'tennessee'], ['3', '32', '94', 'james boyd', 'defensive back', 'penn state'], ['5', '11', '142', 'david leaverton', 'punter', '... |
eagles - giants rivalry | https://en.wikipedia.org/wiki/Eagles%E2%80%93Giants_rivalry | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16900662-5.html.csv | comparative | in 1968 , the new york giants scored more points against the philadelphia eagles in september than in november . | {'row_1': '16', 'row_2': '17', 'col': '4', 'col_other': '2', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'date', 'september 22'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose date record fuzzily matches to september 22 .', 'tostr': 'filter_eq { all_rows ; date ; september 22 }'}, 'result'], 'result': Non... | greater { hop { filter_eq { all_rows ; date ; september 22 } ; result } ; hop { filter_eq { all_rows ; date ; november 17 } ; result } } = true | select the rows whose date record fuzzily matches to september 22 . take the result record of this row . select the rows whose date record fuzzily matches to november 17 . take the result 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, 'date_7': 7, 'september 22_8': 8, 'result_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'date_11': 11, 'november 17_12': 12, 'result_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', 'date_7': 'date', 'september 22_8': 'september 22', 'result_9': 'result', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'date_11': 'date', 'november... | {'greater_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'date_7': [0], 'september 22_8': [0], 'result_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'date_11': [1], 'november 17_12': [1], 'result_13': [3]} | ['year', 'date', 'winner', 'result', 'loser', 'location'] | [['1960', 'november 20', 'philadelphia eagles', '17 - 10', 'new york giants', 'yankee stadium'], ['1960', 'november 27', 'philadelphia eagles', '31 - 23', 'new york giants', 'franklin field'], ['1961', 'november 12', 'new york giants', '38 - 21', 'philadelphia eagles', 'yankee stadium'], ['1961', 'december 10', 'philid... |
1968 vfl season | https://en.wikipedia.org/wiki/1968_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10808933-8.html.csv | majority | most melbourne-in-name teams played as away teams during the 1968 vfl season . | {'scope': 'all', 'col': '3', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'melbourne', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'away team', 'melbourne'], 'result': True, 'ind': 0, 'tointer': 'for the away team records of all rows , most of them fuzzily match to melbourne .', 'tostr': 'most_eq { all_rows ; away team ; melbourne } = true'} | most_eq { all_rows ; away team ; melbourne } = true | for the away team records of all rows , most of them fuzzily match to melbourne . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'away team_3': 3, 'melbourne_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'away team_3': 'away team', 'melbourne_4': 'melbourne'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'away team_3': [0], 'melbourne_4': [0]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['footscray', '9.8 ( 62 )', 'south melbourne', '11.9 ( 75 )', 'western oval', '14755', '8 june 1968'], ['collingwood', '11.13 ( 79 )', 'melbourne', '13.7 ( 85 )', 'victoria park', '24375', '8 june 1968'], ['north melbourne', '9.11 ( 65 )', 'geelong', '13.11 ( 89 )', 'arden street oval', '13209', '8 june 1968'], ['rich... |
list of shortest people | https://en.wikipedia.org/wiki/List_of_shortest_people | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14229697-6.html.csv | count | only two of the athletes were in wrestling . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'wrestling', 'result': '2', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'sport', 'wrestling'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose sport record fuzzily matches to wrestling .', 'tostr': 'filter_eq { all_rows ; sport ; wrestling }'}], 'result': '2', 'ind': 1, 'tostr': 'c... | eq { count { filter_eq { all_rows ; sport ; wrestling } } ; 2 } = true | select the rows whose sport record fuzzily matches to wrestling . 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, 'sport_5': 5, 'wrestling_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', 'sport_5': 'sport', 'wrestling_6': 'wrestling', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'sport_5': [0], 'wrestling_6': [0], '2_7': [2]} | ['nationality', 'height', 'name', 'sport', 'lifespan'] | [['india', 'cm ( in )', 'aditya romeo dev', 'bodybuilding', '1988 - 2012'], ['canada', 'cm ( in )', 'henry franklyn', 'ice hockey', 'late 19th century'], ['united states', 'cm ( in )', 'eddie gaedel', 'baseball', '1925 - 1961'], ['canada', 'cm ( in )', 'lionel giroux', 'wrestling', '1935 - 1995'], ['united states', 'cm... |
thor - christian ebbesvik | https://en.wikipedia.org/wiki/Thor-Christian_Ebbesvik | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-20398823-1.html.csv | aggregation | the average number of wins that thor-christian ebbesvik had was .44 . | {'scope': 'all', 'col': '5', 'type': 'average', 'result': '.44', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'wins'], 'result': '.44', 'ind': 0, 'tostr': 'avg { all_rows ; wins }'}, '.44'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; wins } ; .44 } = true', 'tointer': 'the average of the wins record of all rows is .44 .'} | round_eq { avg { all_rows ; wins } ; .44 } = true | the average of the wins record of all rows is .44 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'wins_4': 4, '.44_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'wins_4': 'wins', '.44_5': '.44'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'wins_4': [0], '.44_5': [1]} | ['season', 'series', 'team', 'races', 'wins', 'poles', 'f / laps', 'podiums', 'points', 'position'] | [['2005', 'british formula ford championship', 'team jlr', '20', '0', '0', '0', '0', '321', '6th'], ['2005', 'formula ford festival', 'team jlr', '1', '0', '0', '0', '0', 'n / a', 'nc'], ['2006', 'british formula ford championship', 'team jlr', '20', '1', '0', '2', '4', '357', '4th'], ['2006', 'formula ford festival - ... |
croatian international | https://en.wikipedia.org/wiki/Croatian_International | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-12164707-1.html.csv | count | vincent laigle and svetoslav stoyanov won the mens doubles in the croatian international a total of two times . | {'scope': 'all', 'criterion': 'equal', 'value': 'vincent laigle svetoslav stoyanov', 'result': '2', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'mens doubles', 'vincent laigle svetoslav stoyanov'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose mens doubles record fuzzily matches to vincent laigle svetoslav stoyanov .', 'tostr': 'filter_eq { all_rows ... | eq { count { filter_eq { all_rows ; mens doubles ; vincent laigle svetoslav stoyanov } } ; 2 } = true | select the rows whose mens doubles record fuzzily matches to vincent laigle svetoslav stoyanov . 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, 'mens doubles_5': 5, 'vincent laigle svetoslav stoyanov_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', 'mens doubles_5': 'mens doubles', 'vincent laigle svetoslav stoyanov_6': 'vincent laigle svetoslav stoyanov', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'mens doubles_5': [0], 'vincent laigle svetoslav stoyanov_6': [0], '2_7': [2]} | ['year', 'mens singles', 'womens singles', 'mens doubles', 'womens doubles', 'mixed doubles'] | [['1999', 'marvin steve', 'maja pohar', 'dmitry miznikov valery strelcov', 'natalja esipenko natalia golovkina', 'valery strelcov natalia golovkina'], ['2000', 'richard vaughan', 'anu weckstrom', 'michał łogosz robert mateusiak', 'felicity gallup joanne muggeridge', 'michael beres kara solmudson'], ['2001', 'oliver pon... |
1953 masters tournament | https://en.wikipedia.org/wiki/1953_Masters_Tournament | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-13073611-2.html.csv | majority | the majority of the players in the 1953 tournament were from the united states . | {'scope': 'all', 'col': '3', 'most_or_all': 'all', 'criterion': 'equal', 'value': 'united states', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'country', 'united states'], 'result': True, 'ind': 0, 'tointer': 'for the country records of all rows , all of them fuzzily match to united states .', 'tostr': 'all_eq { all_rows ; country ; united states } = true'} | all_eq { all_rows ; country ; united states } = true | for the country records of all rows , all of them fuzzily match to united states . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'country_3': 3, 'united states_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'country_3': 'country', 'united states_4': 'united states'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'country_3': [0], 'united states_4': [0]} | ['place', 'player', 'country', 'score', 'to par'] | [['1', 'ben hogan', 'united states', '70 + 69 = 139', '- 5'], ['2', 'bob hamilton', 'united states', '71 + 69 = 140', '- 4'], ['t3', 'chick harbert', 'united states', '68 + 73 = 141', '- 3'], ['t3', 'ted kroll', 'united states', '71 + 70 = 141', '- 3'], ['t5', 'lloyd mangrum', 'united states', '74 + 68 = 142', '- 2'], ... |
alberta senate nominee election , 2004 | https://en.wikipedia.org/wiki/Alberta_Senate_nominee_election%2C_2004 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1202333-1.html.csv | aggregation | candidates in the alberta senate nominee election of 2004 received a combined total of 2176341 votes . | {'scope': 'all', 'col': '3', 'type': 'sum', 'result': '2176341', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': ['all_rows', 'votes'], 'result': '2176341', 'ind': 0, 'tostr': 'sum { all_rows ; votes }'}, '2176341'], 'result': True, 'ind': 1, 'tostr': 'round_eq { sum { all_rows ; votes } ; 2176341 } = true', 'tointer': 'the sum of the votes record of all rows is 2176341 .'} | round_eq { sum { all_rows ; votes } ; 2176341 } = true | the sum of the votes record of all rows is 2176341 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'sum_0': 0, 'all_rows_3': 3, 'votes_4': 4, '2176341_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'sum_0': 'sum', 'all_rows_3': 'all_rows', 'votes_4': 'votes', '2176341_5': '2176341'} | {'eq_1': [2], 'result_2': [], 'sum_0': [1], 'all_rows_3': [0], 'votes_4': [0], '2176341_5': [1]} | ['candidate', 'party', 'votes', 'votes %', 'ballots %', 'elected', 'appointed'] | [['bert brown', 'progressive conservative', '312041', '14.3 %', '43.7 %', 'x', 'july 10 , 2007'], ['betty unger', 'progressive conservative', '311964', '14.3 %', '43.6 %', 'x', 'january 6 , 2012'], ['cliff breitkreuz', 'progressive conservative', '241306', '11.1 %', '33.8 %', 'x', 'term ended march 26 , 2012'], ['link ... |
steam locomotives of ireland | https://en.wikipedia.org/wiki/Steam_locomotives_of_Ireland | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1290024-14.html.csv | majority | most of the steam locomotives of ireland were made before the 1900s . | {'scope': 'all', 'col': '6', 'most_or_all': 'most', 'criterion': 'less_than', 'value': '1900', 'subset': None} | {'func': 'most_less', 'args': ['all_rows', 'date made', '1900'], 'result': True, 'ind': 0, 'tointer': 'for the date made records of all rows , most of them are less than 1900 .', 'tostr': 'most_less { all_rows ; date made ; 1900 } = true'} | most_less { all_rows ; date made ; 1900 } = true | for the date made records of all rows , most of them are less than 1900 . | 1 | 1 | {'most_less_0': 0, 'result_1': 1, 'all_rows_2': 2, 'date made_3': 3, '1900_4': 4} | {'most_less_0': 'most_less', 'result_1': 'true', 'all_rows_2': 'all_rows', 'date made_3': 'date made', '1900_4': '1900'} | {'most_less_0': [1], 'result_1': [], 'all_rows_2': [0], 'date made_3': [0], '1900_4': [0]} | ['class', 'type', 'names', 'quantity made', 'manufacturer', 'date made'] | [['pioneer', '0 - 6 - 2t', 'pioneer sligo', '2', 'avonside engine co', '1877'], ['leitrim', '0 - 6 - 4t', 'fermanagh leitrim lurganboy lissadell hazlewood', '5', 'beyer , peacock & co', '1882 - 1899'], ['erne', '4 - 4 - 0t', 'erne', '1', 'hudswell clarke', '1883'], ['faugh - a - ballagh', '0 - 4 - 0st', 'faugh - a - ba... |
2003 - 04 toronto raptors season | https://en.wikipedia.org/wiki/2003%E2%80%9304_Toronto_Raptors_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-15869204-7.html.csv | superlative | during this period of the 2003-04 toronto raptors season , the toronto raptors experienced their highest game attendance on february 1st in their game against the la lakers . | {'scope': 'all', 'col_superlative': '8', 'row_superlative': '1', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '3', '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 }'}, 'team'], 'result': 'la lakers', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; location attendance } ; team }'}, 'la la... | eq { hop { argmax { all_rows ; location attendance } ; team } ; la lakers } = true | select the row whose location attendance record of all rows is maximum . the team record of this row is la lakers . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'location attendance_5': 5, 'team_6': 6, 'la lakers_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', 'team_6': 'team', 'la lakers_7': 'la lakers'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'location attendance_5': [0], 'team_6': [1], 'la lakers_7': [2]} | ['game', 'date', 'team', 'score', 'high points', 'high rebounds', 'high assists', 'location attendance', 'record'] | [['45', 'february 1', 'la lakers', 'l 83 - 84 ( ot )', 'vince carter ( 27 )', 'chris bosh ( 14 )', 'morris peterson ( 4 )', 'air canada centre 20116', '21 - 24'], ['46', 'february 3', 'philadelphia', 'w 93 - 80 ( ot )', 'vince carter ( 33 )', 'donyell marshall ( 14 )', 'jalen rose ( 5 )', 'wachovia center 19049', '22 -... |
fady maalouf | https://en.wikipedia.org/wiki/Fady_Maalouf | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18490880-1.html.csv | majority | in may 2008 on deutschland sucht den superstar , yesterday was the only song by the beatles that fady maalouf performed . | {'scope': 'subset', 'col': '4', 'most_or_all': 'all', 'criterion': 'equal', 'value': 'beatles', 'subset': {'col': '1', 'criterion': 'fuzzily_match', 'value': 'may 2008'}} | {'func': 'all_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'date', 'may 2008'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; date ; may 2008 }', 'tointer': 'select the rows whose date record fuzzily matches to may 2008 .'}, 'original artist', 'beatles'], 'result': True, 'ind': 1, 'toin... | all_eq { filter_eq { all_rows ; date ; may 2008 } ; original artist ; beatles } = true | select the rows whose date record fuzzily matches to may 2008 . for the original artist records of these rows , all of them fuzzily match to beatles . | 2 | 2 | {'all_str_eq_1': 1, 'result_2': 2, 'filter_str_eq_0': 0, 'all_rows_3': 3, 'date_4': 4, 'may 2008_5': 5, 'original artist_6': 6, 'beatles_7': 7} | {'all_str_eq_1': 'all_str_eq', 'result_2': 'true', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_3': 'all_rows', 'date_4': 'date', 'may 2008_5': 'may 2008', 'original artist_6': 'original artist', 'beatles_7': 'beatles'} | {'all_str_eq_1': [2], 'result_2': [], 'filter_str_eq_0': [1], 'all_rows_3': [0], 'date_4': [0], 'may 2008_5': [0], 'original artist_6': [1], 'beatles_7': [1]} | ['date', 'topic of the show', 'song', 'original artist', 'place / percentage'] | [['march 8 , 2008', 'top 15 show : jetzt oder nie', 'home', 'michael bublé', '8 , 55 % ( 2 / 15 )'], ['march 15 , 2008', 'current hits', 'helpless when she smiles', 'backstreet boys', '7 , 08 % ( 4 / 10 )'], ['march 22 , 2008', 'greatest film hits', "she 's like the wind", 'patrick swayze', '21 , 09 % ( 2 / 9 )'], ['ap... |
1961 ohio state buckeyes football team | https://en.wikipedia.org/wiki/1961_Ohio_State_Buckeyes_football_team | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17814506-1.html.csv | count | during the 1961 season , there were three times that the ohio state buckeyes football team was ranked 3rd . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': '3', 'result': '3', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'rank', '3'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose rank record fuzzily matches to 3 .', 'tostr': 'filter_eq { all_rows ; rank ; 3 }'}], 'result': '3', 'ind': 1, 'tostr': 'count { filter_eq { all_rows... | eq { count { filter_eq { all_rows ; rank ; 3 } } ; 3 } = true | select the rows whose rank record fuzzily matches to 3 . 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, 'rank_5': 5, '3_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', 'rank_5': 'rank', '3_6': '3', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'rank_5': [0], '3_6': [0], '3_7': [2]} | ['date', 'opponent', 'rank', 'site', 'result', 'attendance'] | [['september 30', 'texas christian', '3', 'ohio stadium columbus , oh', 't7 - 7', '82878'], ['october 7', 'ucla', '8', 'ohio stadium columbus , oh', 'w13 - 3', '82992'], ['october 14', 'illinois', '7', 'ohio stadium columbus , oh', 'w44 - 0', '82374'], ['october 21', 'northwestern', '7', 'dyche stadium evanston , il', ... |
partnership ( cricket ) | https://en.wikipedia.org/wiki/Partnership_%28cricket%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1670921-1.html.csv | ordinal | the second most runs scored were by the players from india . | {'row': '2', 'col': '2', 'order': '2', 'col_other': '5', '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', 'runs', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; runs ; 2 }'}, 'fielding team'], 'result': 'india', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; runs ; 2 } ; fielding team }'}, 'india'], 'r... | eq { hop { nth_argmax { all_rows ; runs ; 2 } ; fielding team } ; india } = true | select the row whose runs record of all rows is 2nd maximum . the fielding team record of this row is india . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'runs_5': 5, '2_6': 6, 'fielding team_7': 7, 'india_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', 'runs_5': 'runs', '2_6': '2', 'fielding team_7': 'fielding team', 'india_8': 'india'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'runs_5': [0], '2_6': [0], 'fielding team_7': [1], 'india_8': [2]} | ['wicket', 'runs', 'battling partners', 'battling team', 'fielding team', 'venue', 'season'] | [['1st', '415', 'gc smith and neil mckenzie', 'south africa', 'bangladesh', 'chittagong', '2008'], ['2nd', '576', 'roshan mahanama and sanath jayasuriya', 'sri lanka', 'india', 'colombo', '1997'], ['3rd', '624', 'mahela jayawardene and kumar sangakkara', 'sri lanka', 'south africa', 'colombo', '2006'], ['4th', '437', '... |
teo fabi | https://en.wikipedia.org/wiki/Teo_Fabi | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1218368-3.html.csv | comparative | teo fabi completed more laps in the 1990s when compared to the 1980s . | {'row_1': '6', 'row_2': '2', 'col': '6', 'col_other': '1', 'relation': 'greater', 'record_mentioned': 'yes', 'diff_result': None} | {'func': 'and', 'args': [{'func': 'greater', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'year', '1993'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose year record fuzzily matches to 1993 .', 'tostr': 'filter_eq { all_rows ; year ; 1993 }'}, 'laps'], 'result': None... | and { greater { hop { filter_eq { all_rows ; year ; 1993 } ; laps } ; hop { filter_eq { all_rows ; year ; 1982 } ; laps } } ; and { eq { hop { filter_eq { all_rows ; year ; 1993 } ; laps } ; 374 } ; eq { hop { filter_eq { all_rows ; year ; 1982 } ; laps } ; 92 } } } = true | select the rows whose year record fuzzily matches to 1993 . take the laps record of this row . select the rows whose year record fuzzily matches to 1982 . take the laps record of this row . the first record is greater than the second record . the laps record of the first row is 374 . the laps record of the second row i... | 13 | 9 | {'and_8': 8, 'result_9': 9, 'greater_4': 4, 'num_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_10': 10, 'year_11': 11, '1993_12': 12, 'laps_13': 13, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_14': 14, 'year_15': 15, '1982_16': 16, 'laps_17': 17, 'and_7': 7, 'eq_5': 5, '374_18': 18, 'eq_6': 6, '92_19': 19} | {'and_8': 'and', 'result_9': 'true', 'greater_4': 'greater', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_10': 'all_rows', 'year_11': 'year', '1993_12': '1993', 'laps_13': 'laps', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_14': 'all_rows', 'year_15': 'year', '1982_16'... | {'and_8': [9], 'result_9': [], 'greater_4': [8], 'num_hop_2': [4, 5], 'filter_str_eq_0': [2], 'all_rows_10': [0], 'year_11': [0], '1993_12': [0], 'laps_13': [2], 'num_hop_3': [4, 6], 'filter_str_eq_1': [3], 'all_rows_14': [1], 'year_15': [1], '1982_16': [1], 'laps_17': [3], 'and_7': [8], 'eq_5': [7], '374_18': [5], 'eq... | ['year', 'class', 'tyres', 'team', 'co - drivers', 'laps', 'pos', 'class pos'] | [['1980', 'gr5', 'p', 'scuderia lancia corse', 'hans heyer bernard darniche', '6', 'dnf', 'dnf'], ['1982', 'gr6', 'p', 'martini racing', 'michele alboreto rolf stommelen', '92', 'dnf', 'dnf'], ['1983', 'c', 'd', 'martini lancia', 'michele alboreto alessandro nannini', '27', 'dnf', 'dnf'], ['1991', 'c2', 'g', 'silk cut ... |
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 | majority | most of matt baker 's dances scored over an 8 from goodman . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'greater_than', 'value': '8', 'subset': None} | {'func': 'most_greater', 'args': ['all_rows', 'goodman', '8'], 'result': True, 'ind': 0, 'tointer': 'for the goodman records of all rows , most of them are greater than 8 .', 'tostr': 'most_greater { all_rows ; goodman ; 8 } = true'} | most_greater { all_rows ; goodman ; 8 } = true | for the goodman records of all rows , most of them are greater than 8 . | 1 | 1 | {'most_greater_0': 0, 'result_1': 1, 'all_rows_2': 2, 'goodman_3': 3, '8_4': 4} | {'most_greater_0': 'most_greater', 'result_1': 'true', 'all_rows_2': 'all_rows', 'goodman_3': 'goodman', '8_4': '8'} | {'most_greater_0': [1], 'result_1': [], 'all_rows_2': [0], 'goodman_3': [0], '8_4': [0]} | ['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... |
sunshine state conference | https://en.wikipedia.org/wiki/Sunshine_State_Conference | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1183842-1.html.csv | superlative | nova southeastern university has the most enrollment among institutions in the sunshine state conference . | {'scope': 'all', 'col_superlative': '5', 'row_superlative': '6', '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', 'enrollment'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; enrollment }'}, 'institution'], 'result': 'nova southeastern university', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; enrollment } ; institution }'}, ... | eq { hop { argmax { all_rows ; enrollment } ; institution } ; nova southeastern university } = true | select the row whose enrollment record of all rows is maximum . the institution record of this row is nova southeastern university . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'enrollment_5': 5, 'institution_6': 6, 'nova southeastern university_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'enrollment_5': 'enrollment', 'institution_6': 'institution', 'nova southeastern university_7': 'nova southeastern university'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'enrollment_5': [0], 'institution_6': [1], 'nova southeastern university_7': [2]} | ['institution', 'location', 'founded', 'type', 'enrollment', 'nickname', 'joined'] | [['barry university', 'miami shores , florida', '1940', 'private', '9300', 'buccaneers', '1988'], ['eckerd college', 'st petersburg , florida', '1958', 'private', '3584', 'tritons', '1975'], ['florida southern college', 'lakeland , florida', '1883', 'private', '3488', 'moccasins', '1975'], ['florida institute of techno... |
list of manly - warringah sea eagles honours | https://en.wikipedia.org/wiki/List_of_Manly-Warringah_Sea_Eagles_honours | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12573519-7.html.csv | count | 1978 was the only year that the manly - warringah sea eagles honours had less than 40000 people attend . | {'scope': 'all', 'criterion': 'less_than', 'value': '40000', 'result': '1', 'col': '6', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_less', 'args': ['all_rows', 'attendance', '40000'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose attendance record is less than 40000 .', 'tostr': 'filter_less { all_rows ; attendance ; 40000 }'}], 'result': '1', 'ind': 1, 'tostr': 'coun... | eq { count { filter_less { all_rows ; attendance ; 40000 } } ; 1 } = true | select the rows whose attendance record is less than 40000 . the number of such rows is 1 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_less_0': 0, 'all_rows_4': 4, 'attendance_5': 5, '40000_6': 6, '1_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_less_0': 'filter_less', 'all_rows_4': 'all_rows', 'attendance_5': 'attendance', '40000_6': '40000', '1_7': '1'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_less_0': [1], 'all_rows_4': [0], 'attendance_5': [0], '40000_6': [0], '1_7': [2]} | ['year', 'opponent', 'competition', 'score', 'venue', 'attendance'] | [['1972', 'eastern suburbs roosters', 'nswrfl', '19 - 14', 'sydney cricket ground', '54537'], ['1973', 'cronulla - sutherland sharks', 'nswrfl', '10 - 7', 'sydney cricket ground', '52044'], ['1976', 'parramatta eels', 'nswrfl', '13 - 10', 'sydney cricket ground', '57343'], ['1978', 'cronulla - sutherland sharks', 'nswr... |
jim rathmann | https://en.wikipedia.org/wiki/Jim_Rathmann | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1252109-1.html.csv | ordinal | for jim rathmann , when there are at least 200 laps , the 2nd worst rank was in 1953 . | {'scope': 'subset', 'row': '4', 'col': '4', 'order': '2', 'col_other': '1,6', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'subset': {'col': '6', 'criterion': 'greater_than_eq', 'value': '200'}} | {'func': 'eq', 'args': [{'func': 'num_hop', 'args': [{'func': 'nth_argmax', 'args': [{'func': 'filter_greater_eq', 'args': ['all_rows', 'laps', '200'], 'result': None, 'ind': 0, 'tostr': 'filter_greater_eq { all_rows ; laps ; 200 }', 'tointer': 'select the rows whose laps record is greater than or equal to 200 .'}, 'ra... | eq { hop { nth_argmax { filter_greater_eq { all_rows ; laps ; 200 } ; rank ; 2 } ; year } ; 1953 } = true | select the rows whose laps record is greater than or equal to 200 . select the row whose rank record of these rows is 2nd maximum . the year record of this row is 1953 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'num_hop_2': 2, 'nth_argmax_1': 1, 'filter_greater_eq_0': 0, 'all_rows_5': 5, 'laps_6': 6, '200_7': 7, 'rank_8': 8, '2_9': 9, 'year_10': 10, '1953_11': 11} | {'eq_3': 'eq', 'result_4': 'true', 'num_hop_2': 'num_hop', 'nth_argmax_1': 'nth_argmax', 'filter_greater_eq_0': 'filter_greater_eq', 'all_rows_5': 'all_rows', 'laps_6': 'laps', '200_7': '200', 'rank_8': 'rank', '2_9': '2', 'year_10': 'year', '1953_11': '1953'} | {'eq_3': [4], 'result_4': [], 'num_hop_2': [3], 'nth_argmax_1': [2], 'filter_greater_eq_0': [1], 'all_rows_5': [0], 'laps_6': [0], '200_7': [0], 'rank_8': [1], '2_9': [1], 'year_10': [2], '1953_11': [3]} | ['year', 'start', 'qual', 'rank', 'finish', 'laps'] | [['1949', '21', '126.516', '29', '11', '175'], ['1950', '28', '129.959', '24', '24', '122'], ['1952', '10', '136.343', '7', '2', '200'], ['1953', '25', '135.666', '28', '7', '200'], ['1954', '28', '138.228', '21', '28', '110'], ['1955', '20', '138.707', '24', '14', '191'], ['1956', '2', '145.120', '3', '20', '175'], ['... |
haarlem baseball week | https://en.wikipedia.org/wiki/Haarlem_Baseball_Week | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18532667-2.html.csv | superlative | the united states had the most gold in the haarlem baseball week tournament . | {'scope': 'all', 'col_superlative': '3', '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', 'gold'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; gold }'}, 'nation'], 'result': 'united states', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; gold } ; nation }'}, 'united states'], 'result': True, 'ind': 2,... | eq { hop { argmax { all_rows ; gold } ; nation } ; united states } = true | select the row whose gold record of all rows is maximum . the nation record of this row is united states . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'gold_5': 5, 'nation_6': 6, 'united states_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'gold_5': 'gold', 'nation_6': 'nation', 'united states_7': 'united states'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'gold_5': [0], 'nation_6': [1], 'united states_7': [2]} | ['rank', 'nation', 'gold', 'silver', 'bronze', 'total'] | [['1', 'united states', '13', '7', '10', '30'], ['2', 'cuba', '5', '6', '2', '13'], ['3', 'netherlands', '3', '7', '7', '17'], ['4', 'japan', '3', '1', '2', '6'], ['5', 'canada', '1', '1', '0', '2'], ['6', 'netherlands antilles', '1', '0', '1', '2'], ['7', 'south korea', '0', '2', '0', '2'], ['8', 'germany', '0', '1', ... |
carrefour | https://en.wikipedia.org/wiki/Carrefour | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-167638-3.html.csv | superlative | of the european countries with carrefour stores , spain has the highest number of stores classified as hard discounters . | {'scope': 'all', 'col_superlative': '5', 'row_superlative': '14', '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', 'hard discounters'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; hard discounters }'}, 'country'], 'result': 'spain', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; hard discounters } ; country }'}, 'spain'], 're... | eq { hop { argmax { all_rows ; hard discounters } ; country } ; spain } = true | select the row whose hard discounters record of all rows is maximum . the country record of this row is spain . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'hard discounters_5': 5, 'country_6': 6, 'spain_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'hard discounters_5': 'hard discounters', 'country_6': 'country', 'spain_7': 'spain'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'hard discounters_5': [0], 'country_6': [1], 'spain_7': [2]} | ['country', 'first store', 'hypermarkets', 'supermarkets', 'hard discounters'] | [['albania', '2011', '1', '-', '-'], ['belgium', '2000', '45', '370', '-'], ['bulgaria', '2009', '5', '3', '-'], ['cyprus', '2006', '7', '8', '-'], ['france', '1960', '221', '1021', '897'], ['georgia', '2012', '1', '1', '-'], ['greece', '1991', '28', '210', '397'], ['italy', '1993', '45', '485', '-'], ['macedonia', '20... |
1986 - 87 dundee united f.c. season | https://en.wikipedia.org/wiki/1986%E2%80%9387_Dundee_United_F.C._season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15640438-5.html.csv | count | in the 86-87 dundee united f. c. season only two of the games against gothenburg were played in may . | {'scope': 'subset', 'criterion': 'fuzzily_match', 'value': 'may', 'result': '2', 'col': '1', 'subset': {'col': '2', 'criterion': 'equal', 'value': 'gothenburg'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'opponent', 'gothenburg'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; opponent ; gothenburg }', 'tointer': 'select the rows whose opponent record fuzzily matches to gothen... | eq { count { filter_eq { filter_eq { all_rows ; opponent ; gothenburg } ; date ; may } } ; 2 } = true | select the rows whose opponent record fuzzily matches to gothenburg . among these rows , select the rows whose date record fuzzily matches to may . 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, 'opponent_6': 6, 'gothenburg_7': 7, 'date_8': 8, 'may_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', 'opponent_6': 'opponent', 'gothenburg_7': 'gothenburg', 'date_8': 'date', 'may_9': 'may', '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], 'opponent_6': [0], 'gothenburg_7': [0], 'date_8': [1], 'may_9': [1], '2_10': [3]} | ['date', 'opponent', 'venue', 'result', 'attendance'] | [['17 september 1986', 'lens', 'a', '0 - 1', '11330'], ['1 october 1986', 'lens', 'h', '2 - 0', '11645'], ['22 october 1986', 'universitatea craiova', 'h', '3 - 0', '10728'], ['5 november 1986', 'universitatea craiova', 'a', '0 - 1', '35000'], ['26 november 1986', 'hajduk split', 'h', '2 - 0', '11569'], ['10 december 1... |
2004 in paraguayan football | https://en.wikipedia.org/wiki/2004_in_Paraguayan_football | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-14889048-1.html.csv | count | only two of the teams in the 2004 paraguayan football league had more than 10 wins . | {'scope': 'all', 'criterion': 'greater_than', 'value': '10', 'result': '2', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_greater', 'args': ['all_rows', 'wins', '10'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose wins record is greater than 10 .', 'tostr': 'filter_greater { all_rows ; wins ; 10 }'}], 'result': '2', 'ind': 1, 'tostr': 'count { filter_greater... | eq { count { filter_greater { all_rows ; wins ; 10 } } ; 2 } = true | select the rows whose wins record is greater than 10 . the number of such rows is 2 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_greater_0': 0, 'all_rows_4': 4, 'wins_5': 5, '10_6': 6, '2_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_greater_0': 'filter_greater', 'all_rows_4': 'all_rows', 'wins_5': 'wins', '10_6': '10', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_greater_0': [1], 'all_rows_4': [0], 'wins_5': [0], '10_6': [0], '2_7': [2]} | ['position', 'team', 'played', 'wins', 'draws', 'losses', 'scored', 'conceded', 'points'] | [['1', 'cerro porteño', '18', '12', '5', '1', '31', '13', '41'], ['2', 'libertad', '18', '11', '5', '2', '44', '13', '38'], ['3', 'tacuary', '18', '8', '4', '6', '25', '13', '28'], ['4', 'guaraní', '18', '8', '4', '6', '20', '25', '28'], ['5', 'olimpia', '18', '6', '5', '7', '21', '28', '23'], ['6', 'nacional', '18', '... |
approach and landing tests | https://en.wikipedia.org/wiki/Approach_and_Landing_Tests | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16237630-3.html.csv | majority | most of the flights during the approach and landing tests were indicated as landed with 747 . | {'scope': 'all', 'col': '7', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'landed with 747', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'comment', 'landed with 747'], 'result': True, 'ind': 0, 'tointer': 'for the comment records of all rows , most of them fuzzily match to landed with 747 .', 'tostr': 'most_eq { all_rows ; comment ; landed with 747 } = true'} | most_eq { all_rows ; comment ; landed with 747 } = true | for the comment records of all rows , most of them fuzzily match to landed with 747 . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'comment_3': 3, 'landed with 747_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'comment_3': 'comment', 'landed with 747_4': 'landed with 747'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'comment_3': [0], 'landed with 747_4': [0]} | ['test flight', 'date', 'speed', 'altitude', 'crew', 'duration', 'comment'] | [['taxi test 1', 'february 15 , 1977', 'mph ( km / h )', 'taxi', 'none', 'taxi', 'concrete runway , tailcone on'], ['taxi test 2', 'february 15 , 1977', 'mph ( km / h )', 'taxi', 'none', 'taxi', 'concrete runway , tailcone on'], ['taxi test 3', 'february 15 , 1977', 'mph ( km / h )', 'taxi', 'none', 'taxi', 'concrete r... |
english open ( table tennis ) | https://en.wikipedia.org/wiki/English_Open_%28table_tennis%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-28211988-1.html.csv | count | 2 seasons of the english open were hosted in kettering . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'kettering', 'result': '2', 'col': '2', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'host', 'kettering'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose host record fuzzily matches to kettering .', 'tostr': 'filter_eq { all_rows ; host ; kettering }'}], 'result': '2', 'ind': 1, 'tostr': 'coun... | eq { count { filter_eq { all_rows ; host ; kettering } } ; 2 } = true | select the rows whose host record fuzzily matches to kettering . 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, 'host_5': 5, 'kettering_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', 'host_5': 'host', 'kettering_6': 'kettering', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'host_5': [0], 'kettering_6': [0], '2_7': [2]} | ['season', 'host', 'mens singles', 'womens singles', 'mens doubles', 'womens doubles'] | [['1995 / 96', 'kettering', 'kong linghui', 'yang ying', 'werner schlager karl jindrak', 'yang ying wang hui'], ['1996 / 97', 'kettering', 'jean - michel saive', 'chen - tong fei - ming', 'christophe legout patrick chila', 'chai po wa qiao yunping'], ['1998 / 99', 'hopton - on - sea', 'ma wenge', 'jie schoepp', 'trinko... |
los angeles lakers all - time roster | https://en.wikipedia.org/wiki/Los_Angeles_Lakers_all-time_roster | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10560886-8.html.csv | comparative | jerry grote played at an earlier date for the los angeles lakers than andrew goudelock . | {'row_1': '16', 'row_2': '10', 'col': '4', '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', 'player', 'jerry grote'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose player record fuzzily matches to jerry grote .', 'tostr': 'filter_eq { all_rows ; player ; jerry grote }'}, 'from'], 'result': None,... | less { hop { filter_eq { all_rows ; player ; jerry grote } ; from } ; hop { filter_eq { all_rows ; player ; andrew goudelock } ; from } } = true | select the rows whose player record fuzzily matches to jerry grote . take the from record of this row . select the rows whose player record fuzzily matches to andrew goudelock . take the from 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, 'player_7': 7, 'jerry grote_8': 8, 'from_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'player_11': 11, 'andrew goudelock_12': 12, 'from_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', 'player_7': 'player', 'jerry grote_8': 'jerry grote', 'from_9': 'from', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'player_11': 'player', 'andrew goude... | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'player_7': [0], 'jerry grote_8': [0], 'from_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'player_11': [1], 'andrew goudelock_12': [1], 'from_13': [3]} | ['player', 'nationality', 'position', 'from', 'school / country'] | [['earl gardner', 'united states', 'forward', '1948', 'depauw'], ['dick garmaker', 'united states', 'guard / forward', '1955', 'minnesota'], ['garrett , calvin calvin garrett', 'united states', 'forward', '1983', 'oral roberts'], ['dick garrett', 'united states', 'guard', '1969', 'southern illinois'], ['pau gasol', 'sp... |
türk telekom arena | https://en.wikipedia.org/wiki/T%C3%BCrk_Telekom_Arena | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12243387-1.html.csv | aggregation | the average capacity for the various plans for the türk telekom arena was 44,123 . | {'scope': 'all', 'col': '4', 'type': 'average', 'result': '44123', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'capacity'], 'result': '44123', 'ind': 0, 'tostr': 'avg { all_rows ; capacity }'}, '44123'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; capacity } ; 44123 } = true', 'tointer': 'the average of the capacity record of all rows is 4412... | round_eq { avg { all_rows ; capacity } ; 44123 } = true | the average of the capacity record of all rows is 44123 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'capacity_4': 4, '44123_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'capacity_4': 'capacity', '44123_5': '44123'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'capacity_4': [0], '44123_5': [1]} | ['project', 'year', 'location', 'capacity', 'suites', 'architect', 'cost'] | [['faruk süren project', '1997 - 2001', 'mecidiyeköy', '40482', '125 + 72 boxes without outside seating', 'bbb architects', '118.5 million ( in 2014 dollars )'], ['mehmet cansun project', '2001', 'mecidiyeköy', '35000', '132', 'gs member architecture group', '35 million ( in 2014 dollars )'], ["özhan canaydın : back to... |
waste management in hong kong | https://en.wikipedia.org/wiki/Waste_management_in_Hong_Kong | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16176425-2.html.csv | superlative | in 1978 , the sai kung district had the most acres for waste management . | {'scope': 'subset', 'col_superlative': '3', 'row_superlative': '8', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '2,4', 'subset': {'col': '4', 'criterion': 'equal', 'value': '1978'}} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'opened', '1978'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; opened ; 1978 }', 'tointer': 'select the rows whose opened record is equal to 1978 .'}, 'acres'], 'result': None, ... | eq { hop { argmax { filter_eq { all_rows ; opened ; 1978 } ; acres } ; location } ; sai kung district } = true | select the rows whose opened record is equal to 1978 . select the row whose acres record of these rows is maximum . the location record of this row is sai kung district . | 4 | 4 | {'str_eq_3': 3, 'result_4': 4, 'str_hop_2': 2, 'argmax_1': 1, 'filter_eq_0': 0, 'all_rows_5': 5, 'opened_6': 6, '1978_7': 7, 'acres_8': 8, 'location_9': 9, 'sai kung district_10': 10} | {'str_eq_3': 'str_eq', 'result_4': 'true', 'str_hop_2': 'str_hop', 'argmax_1': 'argmax', 'filter_eq_0': 'filter_eq', 'all_rows_5': 'all_rows', 'opened_6': 'opened', '1978_7': '1978', 'acres_8': 'acres', 'location_9': 'location', 'sai kung district_10': 'sai kung district'} | {'str_eq_3': [4], 'result_4': [], 'str_hop_2': [3], 'argmax_1': [2], 'filter_eq_0': [1], 'all_rows_5': [0], 'opened_6': [0], '1978_7': [0], 'acres_8': [1], 'location_9': [2], 'sai kung district_10': [3]} | ['landfill', 'location', 'acres', 'opened', 'capacity', 'status', 'rehab period'] | [['gin drinkers bay', 'kwai tsing district', '29', '1960', '3.5 million tonnes', 'closed', '1999 - 2000'], ['ngau tam mei', 'yuen long district', '2', '1973', '0.15 million tonnes', 'closed', '1999 - 2000'], ['shuen wan', 'tai po district', '50', '1973', '15 million tonnes', 'closed', '1996 - 1997'], ['ma tso lung', 'n... |
françoise dürr | https://en.wikipedia.org/wiki/Fran%C3%A7oise_D%C3%BCrr | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-2112025-3.html.csv | comparative | both of the mixed doubles tournaments where françoise dürr competed against margaret court and marty riessen , he lost . | {'row_1': '2', 'row_2': '3', 'col': '1', 'col_other': '6', 'relation': 'equal', 'record_mentioned': 'yes', 'diff_result': None} | {'func': 'and', 'args': [{'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'opponents in the final', 'margaret court marty riessen'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose opponents in the final record fuzzily matches to margaret court marty ri... | and { eq { hop { filter_eq { all_rows ; opponents in the final ; margaret court marty riessen } ; outcome } ; hop { filter_eq { all_rows ; opponents in the final ; margaret court marty riessen } ; outcome } } ; and { eq { hop { filter_eq { all_rows ; opponents in the final ; margaret court marty riessen } ; outcome } ;... | select the rows whose opponents in the final record fuzzily matches to margaret court marty riessen . take the outcome record of this row . select the rows whose opponents in the final record fuzzily matches to margaret court marty riessen . take the outcome record of this row . the first record fuzzily matches to the ... | 13 | 9 | {'and_8': 8, 'result_9': 9, 'str_eq_4': 4, 'str_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_10': 10, 'opponents in the final_11': 11, 'margaret court marty riessen_12': 12, 'outcome_13': 13, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_14': 14, 'opponents in the final_15': 15, 'margaret court marty riessen_16': 16, '... | {'and_8': 'and', 'result_9': 'true', 'str_eq_4': 'str_eq', 'str_hop_2': 'str_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_10': 'all_rows', 'opponents in the final_11': 'opponents in the final', 'margaret court marty riessen_12': 'margaret court marty riessen', 'outcome_13': 'outcome', 'str_hop_3': 'str_hop', 'fi... | {'and_8': [9], 'result_9': [], 'str_eq_4': [8], 'str_hop_2': [4, 5], 'filter_str_eq_0': [2], 'all_rows_10': [0], 'opponents in the final_11': [0], 'margaret court marty riessen_12': [0], 'outcome_13': [2], 'str_hop_3': [4, 6], 'filter_str_eq_1': [3], 'all_rows_14': [1], 'opponents in the final_15': [1], 'margaret court... | ['outcome', 'year', 'championship', 'surface', 'partner', 'opponents in the final', 'score in the final'] | [['winner', '1968', 'french open', 'clay', 'jean - claude barclay', 'billie jean king owen davidson', '6 - 1 , 6 - 4'], ['runner - up', '1969', 'french open', 'clay', 'jean - claude barclay', 'margaret court marty riessen', '6 - 3 , 6 - 2'], ['runner - up', '1969', 'us open', 'grass', 'dennis ralston', 'margaret court ... |
1972 england rugby union tour of south africa | https://en.wikipedia.org/wiki/1972_England_rugby_union_tour_of_South_Africa | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17020783-1.html.csv | aggregation | in the 1972 england rugby union tour of south africa , the average against was 8.29 . | {'scope': 'all', 'col': '2', 'type': 'average', 'result': '8.29', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'against'], 'result': '8.29', 'ind': 0, 'tostr': 'avg { all_rows ; against }'}, '8.29'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; against } ; 8.29 } = true', 'tointer': 'the average of the against record of all rows is 8.29 .'} | round_eq { avg { all_rows ; against } ; 8.29 } = true | the average of the against record of all rows is 8.29 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'against_4': 4, '8.29_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'against_4': 'against', '8.29_5': '8.29'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'against_4': [0], '8.29_5': [1]} | ['opposing team', 'against', 'date', 'venue', 'status'] | [['natal', '0', 'may 17 , 1972', 'durban', 'tour match'], ['western province', '6', 'may 20 , 1972', 'cape town', 'tour match'], ['sa rugby fed xv', '6', 'may 22 , 1972', 'cape town', 'tour match'], ['sa leopards', '3', 'may 24 , 1972', 'port elizabeth', 'tour match'], ['northern transvaal', '13', 'may 27 , 1972', 'pre... |
1987 masters tournament | https://en.wikipedia.org/wiki/1987_Masters_Tournament | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16490473-1.html.csv | count | there were 10 players who participated in the 1987 masters tournament . | {'scope': 'all', 'criterion': 'all', 'value': 'n/a', 'result': '10', 'col': '1', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_all', 'args': ['all_rows', 'player'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose player record is arbitrary .', 'tostr': 'filter_all { all_rows ; player }'}], 'result': '10', 'ind': 1, 'tostr': 'count { filter_all { all_rows ; player }... | eq { count { filter_all { all_rows ; player } } ; 10 } = true | select the rows whose player record is arbitrary . the number of such rows is 10 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_all_0': 0, 'all_rows_4': 4, 'player_5': 5, '10_6': 6} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_all_0': 'filter_all', 'all_rows_4': 'all_rows', 'player_5': 'player', '10_6': '10'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_all_0': [1], 'all_rows_4': [0], 'player_5': [0], '10_6': [2]} | ['player', 'country', 'year ( s ) won', 'total', 'to par', 'finish'] | [['seve ballesteros', 'spain', '1980 , 1983', '285', '3', 't2'], ['ben crenshaw', 'united states', '1984', '286', '2', 't4'], ['bernhard langer', 'west germany', '1985', '289', '+ 1', 't7'], ['jack nicklaus', 'united states', '1963 , 1965 , 1966 , 1972 , 1975 , 1986', '289', '+ 1', 't7'], ['tom watson', 'united states'... |
8th new zealand parliament | https://en.wikipedia.org/wiki/8th_New_Zealand_Parliament | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-28898974-3.html.csv | comparative | thomas shailer weston resigned his seat in the 8th new zealand parliament earlire than isaac wilson . | {'row_1': '6', 'row_2': '10', 'col': '3', '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', 'incumbent', 'thomas shailer weston'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose incumbent record fuzzily matches to thomas shailer weston .', 'tostr': 'filter_eq { all_rows ; incumbent ; thomas shail... | less { hop { filter_eq { all_rows ; incumbent ; thomas shailer weston } ; date } ; hop { filter_eq { all_rows ; incumbent ; isaac wilson } ; date } } = true | select the rows whose incumbent record fuzzily matches to thomas shailer weston . take the date record of this row . select the rows whose incumbent record fuzzily matches to isaac wilson . 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, 'incumbent_7': 7, 'thomas shailer weston_8': 8, 'date_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'incumbent_11': 11, 'isaac wilson_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', 'incumbent_7': 'incumbent', 'thomas shailer weston_8': 'thomas shailer weston', 'date_9': 'date', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'incumbent... | {'less_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'incumbent_7': [0], 'thomas shailer weston_8': [0], 'date_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'incumbent_11': [1], 'isaac wilson_12': [1], 'date_13': [3]} | ['by - election', 'electorate', 'date', 'incumbent', 'reason', 'winner'] | [['1882', 'franklin north', '9 june', 'benjamin harris', 'election declared void', 'benjamin harris'], ['1882', 'wakanui', '16 june', 'cathcart wason', 'election declared void', 'joseph ivess'], ['1882', 'stanmore', '11 july', 'walter pilliet', 'election declared void', 'walter pilliet'], ['1883', 'peninsula', '22 janu... |
ferydoon zandi | https://en.wikipedia.org/wiki/Ferydoon_Zandi | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1768182-3.html.csv | majority | most of the games played by ferydon zandi after year 2007 were friendly . | {'scope': 'subset', 'col': '5', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'friendly', 'subset': {'col': '1', 'criterion': 'greater_than', 'value': '2007'}} | {'func': 'most_str_eq', 'args': [{'func': 'filter_greater', 'args': ['all_rows', 'date', '2007'], 'result': None, 'ind': 0, 'tostr': 'filter_greater { all_rows ; date ; 2007 }', 'tointer': 'select the rows whose date record is greater than 2007 .'}, 'competition', 'friendly'], 'result': True, 'ind': 1, 'tointer': 'sele... | most_eq { filter_greater { all_rows ; date ; 2007 } ; competition ; friendly } = true | select the rows whose date record is greater than 2007 . for the competition records of these rows , most of them fuzzily match to friendly . | 2 | 2 | {'most_str_eq_1': 1, 'result_2': 2, 'filter_greater_0': 0, 'all_rows_3': 3, 'date_4': 4, '2007_5': 5, 'competition_6': 6, 'friendly_7': 7} | {'most_str_eq_1': 'most_str_eq', 'result_2': 'true', 'filter_greater_0': 'filter_greater', 'all_rows_3': 'all_rows', 'date_4': 'date', '2007_5': '2007', 'competition_6': 'competition', 'friendly_7': 'friendly'} | {'most_str_eq_1': [2], 'result_2': [], 'filter_greater_0': [1], 'all_rows_3': [0], 'date_4': [0], '2007_5': [0], 'competition_6': [1], 'friendly_7': [1]} | ['date', 'venue', 'score', 'result', 'competition'] | [['28 may 2005', 'azadi stadium , tehran', '1 - 0', '2 - 1', 'international match'], ['15 july 2007', 'bukit jalil stadium , kuala lumpur', '1 - 2', '2 - 2', '2007 afc asian cup'], ['7 june 2008', 'khalifa bin zayed stadium , al ain', '1 - 0', '1 - 0', '2010 fifa world cup qualification'], ['31 august 2009', 'bahrain n... |
2005 world women 's curling championship | https://en.wikipedia.org/wiki/2005_World_Women%27s_Curling_Championship | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1554808-2.html.csv | comparative | in the 2005 world women 's curling championship scotland won more ends than canada . | {'row_1': '3', 'row_2': '6', 'col': '3', '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', 'locale', 'canada'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose locale record fuzzily matches to canada .', 'tostr': 'filter_eq { all_rows ; locale ; canada }'}, 'ends won'], 'result': None, 'ind': 2, ... | less { hop { filter_eq { all_rows ; locale ; canada } ; ends won } ; hop { filter_eq { all_rows ; locale ; scotland } ; ends won } } = true | select the rows whose locale record fuzzily matches to canada . take the ends won record of this row . select the rows whose locale record fuzzily matches to scotland . take the ends won 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, 'locale_7': 7, 'canada_8': 8, 'ends won_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'locale_11': 11, 'scotland_12': 12, 'ends won_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', 'locale_7': 'locale', 'canada_8': 'canada', 'ends won_9': 'ends won', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'locale_11': 'locale', 'scotland_12': ... | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'locale_7': [0], 'canada_8': [0], 'ends won_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'locale_11': [1], 'scotland_12': [1], 'ends won_13': [3]} | ['locale', 'skip', 'ends won', 'ends lost', 'blank ends', 'stolen ends', 'shot pct'] | [['sweden', 'anette norberg', '56', '39', '11', '25', '75 %'], ['united states', 'cassandra johnson', '53', '38', '13', '22', '76 %'], ['canada', 'jennifer jones', '48', '45', '3', '21', '68 %'], ['norway', 'dordi nordby', '46', '40', '11', '19', '72 %'], ['russia', 'olga jarkova', '47', '45', '17', '10', '70 %'], ['sc... |
miguel amaral | https://en.wikipedia.org/wiki/Miguel_Amaral | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1616765-1.html.csv | ordinal | the third 24 hours of le mans race that miguel amaral was in , he completed the most laps than any other one in the same event . | {'row': '3', 'col': '4', 'order': '1', 'col_other': '1', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'eq', 'args': [{'func': 'num_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'laps', '1'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; laps ; 1 }'}, 'year'], 'result': '2008', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; laps ; 1 } ; year }'}, '2008'], 'result': True, 'ind': 2, ... | eq { hop { nth_argmax { all_rows ; laps ; 1 } ; year } ; 2008 } = true | select the row whose laps record of all rows is 1st maximum . the year record of this row is 2008 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'num_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'laps_5': 5, '1_6': 6, 'year_7': 7, '2008_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'num_hop_1': 'num_hop', 'nth_argmax_0': 'nth_argmax', 'all_rows_4': 'all_rows', 'laps_5': 'laps', '1_6': '1', 'year_7': 'year', '2008_8': '2008'} | {'eq_2': [3], 'result_3': [], 'num_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'laps_5': [0], '1_6': [0], 'year_7': [1], '2008_8': [2]} | ['year', 'co - drivers', 'class', 'laps', 'pos', 'class pos'] | [['2006', 'warren hughes miguel ángel de castro', 'lmp2', '196', 'dnf', 'dnf'], ['2007', 'warren hughes miguel ángel de castro', 'lmp2', '137', 'dnf', 'dnf'], ['2008', 'olivier pla guy smith', 'lmp2', '325', '20th', '4th'], ['2009', 'olivier pla guy smith', 'lmp2', '46', 'dnf', 'dnf'], ['2010', 'olivier pla warren hugh... |
2007 formula nippon season | https://en.wikipedia.org/wiki/2007_Formula_Nippon_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14330477-2.html.csv | majority | team impul had the most winners in the 2007 formula nippon season . | {'scope': 'all', 'col': '7', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'team impul', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'team', 'team impul'], 'result': True, 'ind': 0, 'tointer': 'for the team records of all rows , most of them fuzzily match to team impul .', 'tostr': 'most_eq { all_rows ; team ; team impul } = true'} | most_eq { all_rows ; team ; team impul } = true | for the team records of all rows , most of them fuzzily match to team impul . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'team_3': 3, 'team impul_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'team_3': 'team', 'team impul_4': 'team impul'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'team_3': [0], 'team impul_4': [0]} | ['round', 'track', 'date', 'pole position', 'fastest race lap', 'winner', 'team'] | [['1', 'fuji', '1 april', 'benoît tréluyer', 'benoît tréluyer', 'benoît tréluyer', 'team impul'], ['2', 'suzuka', '15 april', 'tsugio matsuda', 'hiroki yoshimoto', 'satoshi motoyama', 'team impul'], ['3', 'motegi', '20 may', 'tsugio matsuda', 'takashi kogure', 'takashi kogure', 'nakajima racing'], ['4', 'okayama', '10 ... |
ka commuter jabodetabek | https://en.wikipedia.org/wiki/KA_Commuter_Jabodetabek | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15039992-1.html.csv | comparative | of the train lines of the ka commuter jabodetabek , the blue line serves more stations than the pink line . | {'row_1': '4', 'row_2': '6', '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', 'line color', 'blue'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose line color record fuzzily matches to blue .', 'tostr': 'filter_eq { all_rows ; line color ; blue }'}, 'stations served'], 'result': ... | greater { hop { filter_eq { all_rows ; line color ; blue } ; stations served } ; hop { filter_eq { all_rows ; line color ; pink } ; stations served } } = true | select the rows whose line color record fuzzily matches to blue . take the stations served record of this row . select the rows whose line color record fuzzily matches to pink . take the stations served 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, 'line color_7': 7, 'blue_8': 8, 'stations served_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'line color_11': 11, 'pink_12': 12, 'stations served_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', 'line color_7': 'line color', 'blue_8': 'blue', 'stations served_9': 'stations served', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'line color_11... | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'line color_7': [0], 'blue_8': [0], 'stations served_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'line color_11': [1], 'pink_12': [1], 'stations served_13': [3]} | ['line color', 'line', 'route', 'stations served', 'length'] | [['orange', 'jakarta loopline', 'jatinegara to depok / bogor', '30', '71.8 km'], ['red', 'jakarta - bogor', 'jakarta kota to depok / bogor', '25', '54.6 km'], ['green', 'jakarta - south tangerang', 'tanah abang to serpong / parung panjang / maja', '19', '55.7 km'], ['blue', 'jakarta - bekasi', 'jakarta kota to bekasi',... |
1980 world series | https://en.wikipedia.org/wiki/1980_World_Series | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1218070-1.html.csv | comparative | the third match in the 1980 world series lasted longer than the fourth match . | {'row_1': '3', 'row_2': '4', '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', '3'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose game record fuzzily matches to 3 .', 'tostr': 'filter_eq { all_rows ; game ; 3 }'}, 'time'], 'result': None, 'ind': 2, 'tostr': 'hop { filter... | greater { hop { filter_eq { all_rows ; game ; 3 } ; time } ; hop { filter_eq { all_rows ; game ; 4 } ; time } } = true | select the rows whose game record fuzzily matches to 3 . take the time record of this row . select the rows whose game record fuzzily matches to 4 . take the time 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, '3_8': 8, 'time_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'game_11': 11, '4_12': 12, 'time_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', '3_8': '3', 'time_9': 'time', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'game_11': 'game', '4_12': '4', 'time_13': 'time'} | {'greater_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'game_7': [0], '3_8': [0], 'time_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'game_11': [1], '4_12': [1], 'time_13': [3]} | ['game', 'date', 'location', 'time', 'attendance'] | [['1', 'october 14', 'veterans stadium', '3:01', '65791'], ['2', 'october 15', 'veterans stadium', '3:01', '65775'], ['3', 'october 17', 'royals stadium', '3:19', '42380'], ['4', 'october 18', 'royals stadium', '2:37', '42363'], ['5', 'october 19', 'royals stadium', '2:51', '42369'], ['6', 'october 21', 'veterans stadi... |
2001 new york jets season | https://en.wikipedia.org/wiki/2001_New_York_Jets_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10768951-1.html.csv | majority | the majority of games had more than 70,000 people in attendance . | {'scope': 'all', 'col': '6', 'most_or_all': 'most', 'criterion': 'greater_than', 'value': '70000', 'subset': None} | {'func': 'most_greater', 'args': ['all_rows', 'attendance', '70000'], 'result': True, 'ind': 0, 'tointer': 'for the attendance records of all rows , most of them are greater than 70000 .', 'tostr': 'most_greater { all_rows ; attendance ; 70000 } = true'} | most_greater { all_rows ; attendance ; 70000 } = true | for the attendance records of all rows , most of them are greater than 70000 . | 1 | 1 | {'most_greater_0': 0, 'result_1': 1, 'all_rows_2': 2, 'attendance_3': 3, '70000_4': 4} | {'most_greater_0': 'most_greater', 'result_1': 'true', 'all_rows_2': 'all_rows', 'attendance_3': 'attendance', '70000_4': '70000'} | {'most_greater_0': [1], 'result_1': [], 'all_rows_2': [0], 'attendance_3': [0], '70000_4': [0]} | ['week', 'date', 'opponent', 'result', 'game site', 'attendance'] | [['1', '2001 - 09 - 09', 'indianapolis colts', 'l 45 - 24', 'the meadowlands', '78606'], ['2', '2001 - 09 - 23', 'new england patriots', 'w 10 - 3', 'foxboro stadium', '60292'], ['3', '2001 - 10 - 01', 'san francisco 49ers', 'l 19 - 17', 'the meadowlands', '78722'], ['4', '2001 - 10 - 07', 'buffalo bills', 'w 42 - 36',... |
2005 - 06 u.s. città di palermo season | https://en.wikipedia.org/wiki/2005%E2%80%9306_U.S._Citt%C3%A0_di_Palermo_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11361788-3.html.csv | comparative | round of 32 - 1st leg had a lower attendance than round of 32 - 2nd leg during the 2005 - 06 u.s. città di palermo season . | {'row_1': '7', 'row_2': '8', 'col': '6', 'col_other': '2', 'relation': 'less', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'less', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'round', 'round of 32 - 1st leg'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose round record fuzzily matches to round of 32 - 1st leg .', 'tostr': 'filter_eq { all_rows ; round ; round of 32 - 1st leg }'... | less { hop { filter_eq { all_rows ; round ; round of 32 - 1st leg } ; attendance } ; hop { filter_eq { all_rows ; round ; round of 32 - 2nd leg } ; attendance } } = true | select the rows whose round record fuzzily matches to round of 32 - 1st leg . take the attendance record of this row . select the rows whose round record fuzzily matches to round of 32 - 2nd leg . 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, 'round_7': 7, 'round of 32 - 1st leg_8': 8, 'attendance_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'round_11': 11, 'round of 32 - 2nd leg_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', 'round_7': 'round', 'round of 32 - 1st leg_8': 'round of 32 - 1st leg', 'attendance_9': 'attendance', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'round... | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'round_7': [0], 'round of 32 - 1st leg_8': [0], 'attendance_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'round_11': [1], 'round of 32 - 2nd leg_12': [1], 'attendance_13': [3]} | ['date and time', 'round', 'opponent', 'venue', 'result', 'attendance'] | [['september 15 , 2005 - 20.30', '1st round - 1st leg', 'anorthosis famagusta', 'home', 'won 2 - 1', '13047'], ['september 29 , 2005 - 17.00', '1st round - 2nd leg', 'anorthosis famagusta', 'away', 'won 4 - 0', '12000'], ['october 20 , 2005 - 17.00', 'group stage - group b', 'maccabi petah tikva', 'away', 'won 2 - 1', ... |
1931 vfl season | https://en.wikipedia.org/wiki/1931_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10789881-3.html.csv | majority | all games of the 1931 vfl season were played on the 16th of may . | {'scope': 'all', 'col': '7', 'most_or_all': 'all', 'criterion': 'equal', 'value': '16 may 1931', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'date', '16 may 1931'], 'result': True, 'ind': 0, 'tointer': 'for the date records of all rows , all of them fuzzily match to 16 may 1931 .', 'tostr': 'all_eq { all_rows ; date ; 16 may 1931 } = true'} | all_eq { all_rows ; date ; 16 may 1931 } = true | for the date records of all rows , all of them fuzzily match to 16 may 1931 . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'date_3': 3, '16 may 1931_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'date_3': 'date', '16 may 1931_4': '16 may 1931'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'date_3': [0], '16 may 1931_4': [0]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['footscray', '7.10 ( 52 )', 'richmond', '13.16 ( 94 )', 'western oval', '30000', '16 may 1931'], ['collingwood', '13.16 ( 94 )', 'south melbourne', '10.13 ( 73 )', 'victoria park', '15000', '16 may 1931'], ['carlton', '18.18 ( 126 )', 'essendon', '5.14 ( 44 )', 'princes park', '20000', '16 may 1931'], ['st kilda', '1... |
list of vancouver canucks draft picks | https://en.wikipedia.org/wiki/List_of_Vancouver_Canucks_draft_picks | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11636955-36.html.csv | count | for three players in one of the canucks ' drafts , the pl gp value was 0 . | {'scope': 'all', 'criterion': 'equal', 'value': '0', 'result': '3', 'col': '6', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'pl gp', '0'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose pl gp record is equal to 0 .', 'tostr': 'filter_eq { all_rows ; pl gp ; 0 }'}], 'result': '3', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; pl gp... | eq { count { filter_eq { all_rows ; pl gp ; 0 } } ; 3 } = true | select the rows whose pl gp record is equal to 0 . the number of such rows is 3 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_eq_0': 0, 'all_rows_4': 4, 'pl gp_5': 5, '0_6': 6, '3_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_eq_0': 'filter_eq', 'all_rows_4': 'all_rows', 'pl gp_5': 'pl gp', '0_6': '0', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_eq_0': [1], 'all_rows_4': [0], 'pl gp_5': [0], '0_6': [0], '3_7': [2]} | ['rd', 'pick', 'player', 'team ( league )', 'reg gp', 'pl gp'] | [['1', '26', 'cory schneider', 'phillips academy ( mass )', '98', '10'], ['3', '91', 'alexander edler', 'jamtland ( swe )', '431', '59'], ['4', '125', 'andrew sarauer', 'langley hornets ( bchl )', '0', '0'], ['5', '159', 'mike brown', 'university of michigan ( ncaa )', '39', '2'], ['6', '189', 'julien ellis', 'shawinig... |
united states house of representatives elections , 1998 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1998 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1341453-44.html.csv | majority | all of the results were re-elections for the incumbents in the 1998 house of representatives elections . | {'scope': 'all', 'col': '5', 'most_or_all': 'all', 'criterion': 'equal', 'value': 're - elected', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'results', 're - elected'], 'result': True, 'ind': 0, 'tointer': 'for the results records of all rows , all of them fuzzily match to re - elected .', 'tostr': 'all_eq { all_rows ; results ; re - elected } = true'} | all_eq { all_rows ; results ; re - elected } = true | for the results records of all rows , all of them fuzzily match to re - elected . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'results_3': 3, 're - elected_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'results_3': 'results', 're - elected_4': 're - elected'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'results_3': [0], 're - elected_4': [0]} | ['district', 'incumbent', 'party', 'first elected', 'results', 'candidates'] | [['tennessee 1', 'william l jenkins', 'republican', '1996', 're - elected', 'william l jenkins ( r ) 69 % kay white ( d ) 31 %'], ['tennessee 2', 'jimmy duncan jr', 'republican', '1988', 're - elected', 'jimmy duncan jr ( r ) unopposed'], ['tennessee 3', 'zach wamp', 'republican', '1994', 're - elected', 'zach wamp ( r... |
2008 wnba draft | https://en.wikipedia.org/wiki/2008_WNBA_draft | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14122892-3.html.csv | ordinal | candice wiggins , from stanford , was the 3rd person drafted to the wnba in 2008 . | {'row': '3', 'col': '1', 'order': '3', 'col_other': '2,5', 'max_or_min': 'min_to_max', 'value_mentioned': 'yes', 'scope': 'all', 'subset': None} | {'func': 'and', 'args': [{'func': 'eq', 'args': [{'func': 'nth_min', 'args': ['all_rows', 'pick', '3'], 'result': '3', 'ind': 0, 'tostr': 'nth_min { all_rows ; pick ; 3 }', 'tointer': 'the 3rd minimum pick record of all rows is 3 .'}, '3'], 'result': True, 'ind': 1, 'tostr': 'eq { nth_min { all_rows ; pick ; 3 } ; 3 }'... | and { eq { nth_min { all_rows ; pick ; 3 } ; 3 } ; and { eq { hop { nth_argmin { all_rows ; pick ; 3 } ; player } ; candice wiggins } ; eq { hop { nth_argmin { all_rows ; pick ; 3 } ; school / club team } ; stanford } } } = true | the 3rd minimum pick record of all rows is 3 . the player record of the row with 3rd minimum pick record is candice wiggins . the school / club team record of the row with 3rd minimum pick record is stanford . | 10 | 9 | {'and_8': 8, 'result_9': 9, 'eq_1': 1, 'nth_min_0': 0, 'all_rows_10': 10, 'pick_11': 11, '3_12': 12, '3_13': 13, 'and_7': 7, 'str_eq_4': 4, 'str_hop_3': 3, 'nth_argmin_2': 2, 'all_rows_14': 14, 'pick_15': 15, '3_16': 16, 'player_17': 17, 'candice wiggins_18': 18, 'str_eq_6': 6, 'str_hop_5': 5, 'school / club team_19': ... | {'and_8': 'and', 'result_9': 'true', 'eq_1': 'eq', 'nth_min_0': 'nth_min', 'all_rows_10': 'all_rows', 'pick_11': 'pick', '3_12': '3', '3_13': '3', 'and_7': 'and', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'nth_argmin_2': 'nth_argmin', 'all_rows_14': 'all_rows', 'pick_15': 'pick', '3_16': '3', 'player_17': 'player',... | {'and_8': [9], 'result_9': [], 'eq_1': [8], 'nth_min_0': [1], 'all_rows_10': [0], 'pick_11': [0], '3_12': [0], '3_13': [1], 'and_7': [8], 'str_eq_4': [7], 'str_hop_3': [4], 'nth_argmin_2': [3, 5], 'all_rows_14': [2], 'pick_15': [2], '3_16': [2], 'player_17': [3], 'candice wiggins_18': [4], 'str_eq_6': [7], 'str_hop_5':... | ['pick', 'player', 'nationality', 'wnba team', 'school / club team'] | [['1', 'candace parker', 'united states', 'los angeles sparks', 'tennessee'], ['2', 'sylvia fowles', 'united states', 'chicago sky', 'lsu'], ['3', 'candice wiggins', 'united states', 'minnesota lynx', 'stanford'], ['4', 'alexis hornbuckle', 'united states', 'detroit shock ( from atl , via sea )', 'tennessee'], ['5', 'm... |
tunisair express | https://en.wikipedia.org/wiki/TunisAir_Express | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1622736-2.html.csv | majority | tunisair express went mostly through the country of tunisia . | {'scope': 'all', 'col': '2', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'tunisia', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'country', 'tunisia'], 'result': True, 'ind': 0, 'tointer': 'for the country records of all rows , most of them fuzzily match to tunisia .', 'tostr': 'most_eq { all_rows ; country ; tunisia } = true'} | most_eq { all_rows ; country ; tunisia } = true | for the country records of all rows , most of them fuzzily match to tunisia . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'country_3': 3, 'tunisia_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'country_3': 'country', 'tunisia_4': 'tunisia'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'country_3': [0], 'tunisia_4': [0]} | ['city', 'country', 'iata', 'icao', 'airport'] | [['benghazi', 'libya', 'ben', 'hllb', 'benina international airport'], ['djerba', 'tunisia', 'dje', 'dttj', 'djerba - zarzis international airport'], ['gabès', 'tunisia', 'gae', 'dttg', 'gabès - matmata international airport'], ['gafsa', 'tunisia', 'gaf', 'dttf', 'gafsa - ksar international airport'], ['malta', 'malta'... |
eurovision song contest 1966 | https://en.wikipedia.org/wiki/Eurovision_Song_Contest_1966 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-184807-1.html.csv | majority | most of the songs in french at the 1966 eurovision song contest scored less than 10 points . | {'scope': 'subset', 'col': '7', 'most_or_all': 'most', 'criterion': 'less_than', 'value': '10', 'subset': {'col': '2', 'criterion': 'equal', 'value': 'french'}} | {'func': 'most_less', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'language', 'french'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; language ; french }', 'tointer': 'select the rows whose language record fuzzily matches to french .'}, 'points', '10'], 'result': True, 'ind': 1, 'tointer': 'se... | most_less { filter_eq { all_rows ; language ; french } ; points ; 10 } = true | select the rows whose language record fuzzily matches to french . for the points records of these rows , most of them are less than 10 . | 2 | 2 | {'most_less_1': 1, 'result_2': 2, 'filter_str_eq_0': 0, 'all_rows_3': 3, 'language_4': 4, 'french_5': 5, 'points_6': 6, '10_7': 7} | {'most_less_1': 'most_less', 'result_2': 'true', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_3': 'all_rows', 'language_4': 'language', 'french_5': 'french', 'points_6': 'points', '10_7': '10'} | {'most_less_1': [2], 'result_2': [], 'filter_str_eq_0': [1], 'all_rows_3': [0], 'language_4': [0], 'french_5': [0], 'points_6': [1], '10_7': [1]} | ['draw', 'language', 'artist', 'song', 'english translation', 'place', 'points'] | [['01', 'german', 'margot eskens', 'die zeiger der uhr', 'the hands of the clock', '10', '7'], ['02', 'danish', 'ulla pia', "stop - mens legen er go '", "stop while the going 's good", '14', '4'], ['03', 'french', 'tonia', 'un peu de poivre , un peu de sel', 'a bit of pepper , a bit of salt', '4', '14'], ['04', 'french... |
2008 - 09 oklahoma city thunder season | https://en.wikipedia.org/wiki/2008%E2%80%9309_Oklahoma_City_Thunder_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17355628-5.html.csv | count | carl watson had at least a share of the high assists in 13 games . | {'scope': 'all', 'criterion': 'equal', 'value': 'earl watson', 'result': '13', 'col': '6', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'high assists', 'earl watson'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose high assists record fuzzily matches to earl watson .', 'tostr': 'filter_eq { all_rows ; high assists ; earl watson }'}], 'result':... | eq { count { filter_eq { all_rows ; high assists ; earl watson } } ; 13 } = true | select the rows whose high assists record fuzzily matches to earl watson . the number of such rows is 13 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'high assists_5': 5, 'earl watson_6': 6, '13_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'high assists_5': 'high assists', 'earl watson_6': 'earl watson', '13_7': '13'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'high assists_5': [0], 'earl watson_6': [0], '13_7': [2]} | ['game', 'date', 'team', 'score', 'high points', 'high assists', 'location attendance', 'record'] | [['2', 'november 1', 'houston', 'l 77 - 89 ( ot )', 'kevin durant ( 26 )', 'earl watson ( 8 )', 'toyota center 16996', '0 - 2'], ['3', 'november 2', 'minnesota', 'w 88 - 85 ( ot )', 'kevin durant ( 18 )', 'earl watson ( 4 )', 'ford center 18163', '1 - 2'], ['4', 'november 5', 'boston', 'l 83 - 96 ( ot )', 'kevin durant... |
2005 pba draft | https://en.wikipedia.org/wiki/2005_PBA_draft | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11779131-2.html.csv | unique | jay washington was the only player picked who attended eckerd college . | {'scope': 'all', 'row': '1', 'col': '5', 'col_other': '2', 'criterion': 'equal', 'value': 'eckerd', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'college', 'eckerd'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose college record fuzzily matches to eckerd .', 'tostr': 'filter_eq { all_rows ; college ; eckerd }'}], 'result': True, 'ind': 1, 'tostr': 'onl... | and { only { filter_eq { all_rows ; college ; eckerd } } ; eq { hop { filter_eq { all_rows ; college ; eckerd } ; player } ; jay washington } } = true | select the rows whose college record fuzzily matches to eckerd . there is only one such row in the table . the player record of this unqiue row is jay washington . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'college_7': 7, 'eckerd_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'player_9': 9, 'jay washington_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'college_7': 'college', 'eckerd_8': 'eckerd', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'player_9': 'player', 'jay washington_10': 'jay washington'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'college_7': [0], 'eckerd_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'player_9': [2], 'jay washington_10': [3]} | ['pick', 'player', 'country of origin', 'pba team', 'college'] | [['1', 'jay washington', 'united states', 'air21 express', 'eckerd'], ['2', 'alex cabagnot', 'united states', 'sta lucia realtors', 'hawaii - hilo'], ['3', 'dennis miranda', 'philippines', 'coca - cola tigers', 'feu'], ['4', 'jondan salvador', 'philippines', 'purefoods chunkee giants', 'st benilde'], ['5', 'mark cardon... |
list of cities , towns and villages in vojvodina | https://en.wikipedia.org/wiki/List_of_cities%2C_towns_and_villages_in_Vojvodina | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-2562572-37.html.csv | ordinal | the city of aleksandrovo has the 2nd highest population among the towns and villages in vojvodina . | {'row': '2', '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', 'population ( 2011 )', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; population ( 2011 ) ; 2 }'}, 'settlement'], 'result': 'aleksandrovo', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; population... | eq { hop { nth_argmax { all_rows ; population ( 2011 ) ; 2 } ; settlement } ; aleksandrovo } = true | select the row whose population ( 2011 ) record of all rows is 2nd maximum . the settlement record of this row is aleksandrovo . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'population (2011)_5': 5, '2_6': 6, 'settlement_7': 7, 'aleksandrovo_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', 'population (2011)_5': 'population ( 2011 )', '2_6': '2', 'settlement_7': 'settlement', 'aleksandrovo_8': 'aleksandrovo'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'population (2011)_5': [0], '2_6': [0], 'settlement_7': [1], 'aleksandrovo_8': [2]} | ['settlement', 'cyrillic name other names', 'type', 'population ( 2011 )', 'largest ethnic group ( 2002 )', 'dominant religion ( 2002 )'] | [['nova crnja', 'нова црња ( hungarian : magyarcsernye )', 'village', '1509', 'hungarians', 'catholic christianity'], ['aleksandrovo', 'александрово', 'village', '2130', 'serbs', 'orthodox christianity'], ['radojevo', 'радојево', 'village', '1056', 'serbs', 'orthodox christianity'], ['srpska crnja', 'српска црња', 'vil... |
2010 - 11 robert morris colonials men 's basketball team | https://en.wikipedia.org/wiki/2010%E2%80%9311_Robert_Morris_Colonials_men%27s_basketball_team | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-29970488-2.html.csv | unique | karon abraham is the only player that weighed 150 pounds . | {'scope': 'all', 'row': '1', 'col': '5', 'col_other': '1', 'criterion': 'equal', 'value': '150', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'weight ( lb )', '150'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose weight ( lb ) record is equal to 150 .', 'tostr': 'filter_eq { all_rows ; weight ( lb ) ; 150 }'}], 'result': True, 'ind': 1, 'tostr': 'only ... | and { only { filter_eq { all_rows ; weight ( lb ) ; 150 } } ; eq { hop { filter_eq { all_rows ; weight ( lb ) ; 150 } ; name } ; karon abraham } } = true | select the rows whose weight ( lb ) record is equal to 150 . there is only one such row in the table . the name record of this unqiue row is karon abraham . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_eq_0': 0, 'all_rows_6': 6, 'weight ( lb )_7': 7, '150_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'name_9': 9, 'karon abraham_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_eq_0': 'filter_eq', 'all_rows_6': 'all_rows', 'weight ( lb )_7': 'weight ( lb )', '150_8': '150', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'name_9': 'name', 'karon abraham_10': 'karon abraham'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_eq_0': [1, 2], 'all_rows_6': [0], 'weight ( lb )_7': [0], '150_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'name_9': [2], 'karon abraham_10': [3]} | ['name', '-', 'position', 'height', 'weight ( lb )', 'year', 'hometown', 'previous school'] | [['karon abraham', '4', 'guard', 'ft9in ( m )', '150', '2 sophomore', 'paterson , nj', 'paterson eastside hs'], ['lawrence bridges', '24', 'forward', 'ft5in ( m )', '220', '2 junior', 'detroit , mi', 'columbus state community college'], ['yann charles', '25', 'forward', 'ft5in ( m )', '220', '2 freshman', 'longueuil , ... |
fifa puskás award | https://en.wikipedia.org/wiki/FIFA_Pusk%C3%A1s_Award | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-24765815-2.html.csv | superlative | in the fifa puskás award voting shown hamit altıntop received the highest percentage of the votes . | {'scope': 'all', 'col_superlative': '8', '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', 'vote percentage'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; vote percentage }'}, 'player'], 'result': 'hamit altıntop', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; vote percentage } ; player }'}, 'hamit al... | eq { hop { argmax { all_rows ; vote percentage } ; player } ; hamit altıntop } = true | select the row whose vote percentage record of all rows is maximum . the player record of this row is hamit altıntop . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'vote percentage_5': 5, 'player_6': 6, 'hamit altıntop_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'vote percentage_5': 'vote percentage', 'player_6': 'player', 'hamit altıntop_7': 'hamit altıntop'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'vote percentage_5': [0], 'player_6': [1], 'hamit altıntop_7': [2]} | ['rank', 'player', 'nationality', 'team', 'opponent', 'score', 'competition', 'vote percentage'] | [['1st', 'hamit altıntop', 'turkey', 'turkey', 'kazakhstan', '0 - 2', 'uefa euro 2012 qualifying group a', '40.55 %'], ['2nd', 'linus hallenius', 'sweden', 'hammarby if', 'syrianska fc', '2 - 0', '2010 superettan', '13.23 %'], ['3rd', 'matty burrows', 'northern ireland', 'glentoran', 'portadown', '1 - 0', '2010 - 11 if... |
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