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rogue trader | https://en.wikipedia.org/wiki/Rogue_trader | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-15438337-1.html.csv | superlative | toshihide iguchi was the rogue trader who caused the lowest loss for an institution . | {'scope': 'all', 'col_superlative': '4', 'row_superlative': '4', 'value_mentioned': 'no', 'max_or_min': 'min', 'other_col': '1', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmin', 'args': ['all_rows', 'loss'], 'result': None, 'ind': 0, 'tostr': 'argmin { all_rows ; loss }'}, 'name'], 'result': 'toshihide iguchi', 'ind': 1, 'tostr': 'hop { argmin { all_rows ; loss } ; name }'}, 'toshihide iguchi'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { argmin { all_rows ; loss } ; name } ; toshihide iguchi } = true', 'tointer': 'select the row whose loss record of all rows is minimum . the name record of this row is toshihide iguchi .'} | eq { hop { argmin { all_rows ; loss } ; name } ; toshihide iguchi } = true | select the row whose loss record of all rows is minimum . the name record of this row is toshihide iguchi . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmin_0': 0, 'all_rows_4': 4, 'loss_5': 5, 'name_6': 6, 'toshihide iguchi_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmin_0': 'argmin', 'all_rows_4': 'all_rows', 'loss_5': 'loss', 'name_6': 'name', 'toshihide iguchi_7': 'toshihide iguchi'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmin_0': [1], 'all_rows_4': [0], 'loss_5': [0], 'name_6': [1], 'toshihide iguchi_7': [2]} | ['name', 'country', 'date ( s )', 'loss', 'institution', 'market activity', 'sentence'] | [['yasuo hamanaka', 'tokyo , japan', '1996', '2.6 billion', 'sumitomo corporation', 'copper', '8 years prison'], ['kweku adoboli', 'london , united kingdom', '2011', '2.3 billion', 'ubs', 's & p 500 , dax , and eurostoxx futures', '7 years in prison'], ['nick leeson', 'united kingdom', '1995', '1.3 billion ( 827 million )', 'barings bank', 'nikkei index futures', '6.5 years prison'], ['toshihide iguchi', 'osaka , japan / new york city , united states', '1995', '1.1 billion', 'resona holdings', 'us treasury bonds', '4 years prison'], ['boris picano - nacci', 'paris , france', '2008', '980.3 million ( 751 million )', "groupe caisse d'epargne", 'equity derivatives', '315 million fine ( 2 year suspended sentence )'], ['john rusnak', 'maryland , united states', '2002', '691 million', 'allied irish banks', 'foreign exchange options', '7.5 years prison']] |
anaprof 2006 | https://en.wikipedia.org/wiki/ANAPROF_2006 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11442591-4.html.csv | ordinal | the san francisco fc team had the 2nd highest number of points in the 2006 season of anaprof . | {'row': '2', 'col': '10', 'order': '2', 'col_other': '2', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'points ( pts )', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; points ( pts ) ; 2 }'}, 'team ( equipo )'], 'result': 'san francisco fc', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; points ( pts ) ; 2 } ; team ( equipo ) }'}, 'san francisco fc'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { nth_argmax { all_rows ; points ( pts ) ; 2 } ; team ( equipo ) } ; san francisco fc } = true', 'tointer': 'select the row whose points ( pts ) record of all rows is 2nd maximum . the team ( equipo ) record of this row is san francisco fc .'} | eq { hop { nth_argmax { all_rows ; points ( pts ) ; 2 } ; team ( equipo ) } ; san francisco fc } = true | select the row whose points ( pts ) record of all rows is 2nd maximum . the team ( equipo ) record of this row is san francisco fc . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'points (pts)_5': 5, '2_6': 6, 'team (equipo)_7': 7, 'san francisco fc_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmax_0': 'nth_argmax', 'all_rows_4': 'all_rows', 'points (pts)_5': 'points ( pts )', '2_6': '2', 'team (equipo)_7': 'team ( equipo )', 'san francisco fc_8': 'san francisco fc'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'points (pts)_5': [0], '2_6': [0], 'team (equipo)_7': [1], 'san francisco fc_8': [2]} | ['place ( posición )', 'team ( equipo )', 'played ( pj )', 'won ( pg )', 'draw ( pe )', 'lost ( pp )', 'goals scored ( gf )', 'goals conceded ( gc )', '+ / - ( dif )', 'points ( pts )'] | [['1', 'tauro fc', '18', '10', '7', '1', '31', '17', '+ 14', '37'], ['2', 'san francisco fc', '18', '11', '2', '5', '40', '25', '+ 15', '35'], ['3', 'arabe unido', '18', '10', '3', '5', '30', '20', '+ 10', '33'], ['4', 'atlético veragüense', '18', '9', '6', '3', '22', '16', '+ 6', '33'], ['5', 'plaza amador', '18', '9', '4', '5', '25', '17', '+ 8', '31'], ['6', 'alianza fc', '18', '8', '2', '8', '29', '31', '- 2', '26'], ['7', 'municipal chorrillo', '18', '6', '6', '6', '24', '23', '+ 1', '24'], ['8', "sporting ' 89", '18', '4', '1', '13', '17', '31', '- 14', '13'], ['9', 'atlético chiriquí', '18', '2', '4', '12', '14', '30', '- 16', '10'], ['10', 'policia nacional', '18', '3', '1', '14', '17', '39', '- 22', '10']] |
2008 - 09 segunda división b | https://en.wikipedia.org/wiki/2008%E2%80%9309_Segunda_Divisi%C3%B3n_B | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18160020-8.html.csv | comparative | matías garavano allowed more goals than álvaro campos in the 2008-09 season . | {'row_1': '5', 'row_2': '4', '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', 'goalkeeper', 'matías garavano'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose goalkeeper record fuzzily matches to matías garavano .', 'tostr': 'filter_eq { all_rows ; goalkeeper ; matías garavano }'}, 'goals'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; goalkeeper ; matías garavano } ; goals }', 'tointer': 'select the rows whose goalkeeper record fuzzily matches to matías garavano . take the goals record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'goalkeeper', 'álvaro campos'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose goalkeeper record fuzzily matches to álvaro campos .', 'tostr': 'filter_eq { all_rows ; goalkeeper ; álvaro campos }'}, 'goals'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; goalkeeper ; álvaro campos } ; goals }', 'tointer': 'select the rows whose goalkeeper record fuzzily matches to álvaro campos . take the goals record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'greater { hop { filter_eq { all_rows ; goalkeeper ; matías garavano } ; goals } ; hop { filter_eq { all_rows ; goalkeeper ; álvaro campos } ; goals } } = true', 'tointer': 'select the rows whose goalkeeper record fuzzily matches to matías garavano . take the goals record of this row . select the rows whose goalkeeper record fuzzily matches to álvaro campos . take the goals record of this row . the first record is greater than the second record .'} | greater { hop { filter_eq { all_rows ; goalkeeper ; matías garavano } ; goals } ; hop { filter_eq { all_rows ; goalkeeper ; álvaro campos } ; goals } } = true | select the rows whose goalkeeper record fuzzily matches to matías garavano . take the goals record of this row . select the rows whose goalkeeper record fuzzily matches to álvaro campos . take the goals 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, 'goalkeeper_7': 7, 'matías garavano_8': 8, 'goals_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'goalkeeper_11': 11, 'álvaro campos_12': 12, 'goals_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', 'goalkeeper_7': 'goalkeeper', 'matías garavano_8': 'matías garavano', 'goals_9': 'goals', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'goalkeeper_11': 'goalkeeper', 'álvaro campos_12': 'álvaro campos', 'goals_13': 'goals'} | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'goalkeeper_7': [0], 'matías garavano_8': [0], 'goals_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'goalkeeper_11': [1], 'álvaro campos_12': [1], 'goals_13': [3]} | ['goalkeeper', 'goals', 'matches', 'average', 'team'] | [['miguel zapata', '17', '28', '0.61', 'atlético ciudad'], ['rubén martínez', '24', '32', '0.75', 'cartagena'], ['orlando quintana', '29', '34', '0.85', 'lorca deportiva'], ['álvaro campos', '24', '28', '0.86', 'real murcia b'], ['matías garavano', '26', '30', '0.87', 'mérida']] |
1985 - 86 utah jazz season | https://en.wikipedia.org/wiki/1985%E2%80%9386_Utah_Jazz_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17371779-1.html.csv | ordinal | for the 1985 - 86 utah jazz season , the 2nd to last player picked was jim miller . | {'row': '6', 'col': '2', 'order': '6', 'col_other': '3', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'pick', '6'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; pick ; 6 }'}, 'player'], 'result': 'mike wacker', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; pick ; 6 } ; player }'}, 'mike wacker'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { nth_argmin { all_rows ; pick ; 6 } ; player } ; mike wacker } = true', 'tointer': 'select the row whose pick record of all rows is 6th minimum . the player record of this row is mike wacker .'} | eq { hop { nth_argmin { all_rows ; pick ; 6 } ; player } ; mike wacker } = true | select the row whose pick record of all rows is 6th minimum . the player record of this row is mike wacker . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'pick_5': 5, '6_6': 6, 'player_7': 7, 'mike wacker_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmin_0': 'nth_argmin', 'all_rows_4': 'all_rows', 'pick_5': 'pick', '6_6': '6', 'player_7': 'player', 'mike wacker_8': 'mike wacker'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'pick_5': [0], '6_6': [0], 'player_7': [1], 'mike wacker_8': [2]} | ['round', 'pick', 'player', 'nationality', 'college'] | [['1', '13', 'karl malone', 'united states', 'louisiana tech'], ['2', '37', 'carey scurry', 'united states', 'long island'], ['4', '83', 'delaney rudd', 'united states', 'wake forest'], ['5', '105', 'ray hall', 'united states', 'canisius'], ['6', '129', 'jim miller', 'united states', 'virginia'], ['7', '151', 'mike wacker', 'united states', 'texas - san antonio']] |
2009 canadian olympic curling trials | https://en.wikipedia.org/wiki/2009_Canadian_Olympic_Curling_Trials | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17012578-3.html.csv | unique | cathy king was only the skip one time in the 2009 canadian olympic curling trials . | {'scope': 'all', 'row': '10', 'col': '1', 'col_other': 'n/a', 'criterion': 'equal', 'value': 'cathy king', 'subset': None} | {'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'skip', 'cathy king'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose skip record fuzzily matches to cathy king .', 'tostr': 'filter_eq { all_rows ; skip ; cathy king }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; skip ; cathy king } } = true', 'tointer': 'select the rows whose skip record fuzzily matches to cathy king . there is only one such row in the table .'} | only { filter_eq { all_rows ; skip ; cathy king } } = true | select the rows whose skip record fuzzily matches to cathy king . 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, 'skip_4': 4, 'cathy king_5': 5} | {'only_1': 'only', 'result_2': 'true', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_3': 'all_rows', 'skip_4': 'skip', 'cathy king_5': 'cathy king'} | {'only_1': [2], 'result_2': [], 'filter_str_eq_0': [1], 'all_rows_3': [0], 'skip_4': [0], 'cathy king_5': [0]} | ['skip', 'third', 'second', 'lead', 'city'] | [['kelly scott', 'jeanna schraeder', 'sasha carter', 'jacquie armstrong', 'kelowna'], ['sherry anderson', 'kim hodson', 'heather walsh', 'donna gignac', 'delisle'], ['amber holland', 'kim schneider', 'tammy schneider', 'heather seeley', 'regina'], ['sherry middaugh', 'kirsten wall', 'kim moore', 'andra harmark', 'coldwater'], ['marie - france larouche', 'nancy bélanger', 'annie lemay', 'joëlle sabourin', 'quebec city'], ['michelle englot', 'deanna doig', 'roberta materi', 'cindy simmons', 'regina'], ['heather rankin', 'lisa eyamie', 'heather moulding', 'kyla maclachlan', 'calgary'], ['rachel homan', 'emma miskew', 'alison kreviazuk', 'lynn kreviazuk', 'ottawa'], ['krista mccarville', 'tara george', 'kari maclean - kraft', 'lorraine lang', 'thunder bay'], ['cathy king', 'kaitlyn lawes', 'raylene rocque', 'tracy bush', 'edmonton'], ['eve belisle', 'brenda nicholls', 'martine comeau', 'julie rainville', 'montreal'], ['crystal webster', 'lori olson - johns', 'samantha preston', 'stephanie malekoff', 'calgary']] |
elitexc : street certified | https://en.wikipedia.org/wiki/EliteXC%3A_Street_Certified | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15157472-1.html.csv | aggregation | in elitexc : street certified there was a total of 8 rounds fought . | {'scope': 'all', 'col': '5', 'type': 'sum', 'result': '8', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': ['all_rows', 'round'], 'result': '8', 'ind': 0, 'tostr': 'sum { all_rows ; round }'}, '8'], 'result': True, 'ind': 1, 'tostr': 'round_eq { sum { all_rows ; round } ; 8 } = true', 'tointer': 'the sum of the round record of all rows is 8 .'} | round_eq { sum { all_rows ; round } ; 8 } = true | the sum of the round record of all rows is 8 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'sum_0': 0, 'all_rows_3': 3, 'round_4': 4, '8_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'sum_0': 'sum', 'all_rows_3': 'all_rows', 'round_4': 'round', '8_5': '8'} | {'eq_1': [2], 'result_2': [], 'sum_0': [1], 'all_rows_3': [0], 'round_4': [0], '8_5': [1]} | ['weight division', 'winner', 'loser', 'method', 'round', 'time'] | [['heavyweight', 'kimbo slice', 'tank abbott', 'ko ( punch )', '1', '0:43'], ['heavyweight', 'antonio silva', 'ricco rodriguez', 'decision ( split )', '3', '5:00'], ['middleweight', 'scott smith', 'kyle noke', 'ko ( punch )', '2', '0:07'], ['lightweight', 'yves edwards', 'james edson berto', 'ko ( flying knee )', '1', '4:56'], ['heavyweight', 'brett rogers', 'james thompson', 'tko ( strikes )', '1', '2:24']] |
1963 vfl season | https://en.wikipedia.org/wiki/1963_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10783853-9.html.csv | superlative | on 22 june 1963 of the vfl season , the crowd size was smallest when south melbourne played fitzroy at lake oval . | {'scope': 'all', 'col_superlative': '6', 'row_superlative': '5', 'value_mentioned': 'no', 'max_or_min': 'min', 'other_col': '1,2,5,7', 'subset': None} | {'func': 'and', 'args': [{'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmin', 'args': ['all_rows', 'crowd'], 'result': None, 'ind': 0, 'tostr': 'argmin { all_rows ; crowd }'}, 'home team'], 'result': 'south melbourne', 'ind': 1, 'tostr': 'hop { argmin { all_rows ; crowd } ; home team }'}, 'south melbourne'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { argmin { all_rows ; crowd } ; home team } ; south melbourne }', 'tointer': 'select the row whose crowd record of all rows is minimum . the home team record of this row is south melbourne .'}, {'func': 'and', 'args': [{'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmin', 'args': ['all_rows', 'crowd'], 'result': None, 'ind': 0, 'tostr': 'argmin { all_rows ; crowd }'}, 'home team score'], 'result': '8.10 ( 58 )', 'ind': 3, 'tostr': 'hop { argmin { all_rows ; crowd } ; home team score }'}, '8.10 ( 58 )'], 'result': True, 'ind': 4, 'tostr': 'eq { hop { argmin { all_rows ; crowd } ; home team score } ; 8.10 ( 58 ) }', 'tointer': 'the home team score record of this row is 8.10 ( 58 ) .'}, {'func': 'and', 'args': [{'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmin', 'args': ['all_rows', 'crowd'], 'result': None, 'ind': 0, 'tostr': 'argmin { all_rows ; crowd }'}, 'venue'], 'result': 'lake oval', 'ind': 5, 'tostr': 'hop { argmin { all_rows ; crowd } ; venue }'}, 'lake oval'], 'result': True, 'ind': 6, 'tostr': 'eq { hop { argmin { all_rows ; crowd } ; venue } ; lake oval }', 'tointer': 'the venue record of this row is lake oval .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmin', 'args': ['all_rows', 'crowd'], 'result': None, 'ind': 0, 'tostr': 'argmin { all_rows ; crowd }'}, 'date'], 'result': '22 june 1963', 'ind': 7, 'tostr': 'hop { argmin { all_rows ; crowd } ; date }'}, '22 june 1963'], 'result': True, 'ind': 8, 'tostr': 'eq { hop { argmin { all_rows ; crowd } ; date } ; 22 june 1963 }', 'tointer': 'the date record of this row is 22 june 1963 .'}], 'result': True, 'ind': 9, 'tostr': 'and { eq { hop { argmin { all_rows ; crowd } ; venue } ; lake oval } ; eq { hop { argmin { all_rows ; crowd } ; date } ; 22 june 1963 } }', 'tointer': 'the venue record of this row is lake oval . the date record of this row is 22 june 1963 .'}], 'result': True, 'ind': 10, 'tostr': 'and { eq { hop { argmin { all_rows ; crowd } ; home team score } ; 8.10 ( 58 ) } ; and { eq { hop { argmin { all_rows ; crowd } ; venue } ; lake oval } ; eq { hop { argmin { all_rows ; crowd } ; date } ; 22 june 1963 } } }', 'tointer': 'the home team score record of this row is 8.10 ( 58 ) . the venue record of this row is lake oval . the date record of this row is 22 june 1963 .'}], 'result': True, 'ind': 11, 'tostr': 'and { eq { hop { argmin { all_rows ; crowd } ; home team } ; south melbourne } ; and { eq { hop { argmin { all_rows ; crowd } ; home team score } ; 8.10 ( 58 ) } ; and { eq { hop { argmin { all_rows ; crowd } ; venue } ; lake oval } ; eq { hop { argmin { all_rows ; crowd } ; date } ; 22 june 1963 } } } } = true', 'tointer': 'select the row whose crowd record of all rows is minimum . the home team record of this row is south melbourne . the home team score record of this row is 8.10 ( 58 ) . the venue record of this row is lake oval . the date record of this row is 22 june 1963 .'} | and { eq { hop { argmin { all_rows ; crowd } ; home team } ; south melbourne } ; and { eq { hop { argmin { all_rows ; crowd } ; home team score } ; 8.10 ( 58 ) } ; and { eq { hop { argmin { all_rows ; crowd } ; venue } ; lake oval } ; eq { hop { argmin { all_rows ; crowd } ; date } ; 22 june 1963 } } } } = true | select the row whose crowd record of all rows is minimum . the home team record of this row is south melbourne . the home team score record of this row is 8.10 ( 58 ) . the venue record of this row is lake oval . the date record of this row is 22 june 1963 . | 15 | 12 | {'and_11': 11, 'result_12': 12, 'str_eq_2': 2, 'str_hop_1': 1, 'argmin_0': 0, 'all_rows_13': 13, 'crowd_14': 14, 'home team_15': 15, 'south melbourne_16': 16, 'and_10': 10, 'str_eq_4': 4, 'str_hop_3': 3, 'home team score_17': 17, '8.10 (58)_18': 18, 'and_9': 9, 'str_eq_6': 6, 'str_hop_5': 5, 'venue_19': 19, 'lake oval_20': 20, 'str_eq_8': 8, 'str_hop_7': 7, 'date_21': 21, '22 june 1963_22': 22} | {'and_11': 'and', 'result_12': 'true', 'str_eq_2': 'str_eq', 'str_hop_1': 'str_hop', 'argmin_0': 'argmin', 'all_rows_13': 'all_rows', 'crowd_14': 'crowd', 'home team_15': 'home team', 'south melbourne_16': 'south melbourne', 'and_10': 'and', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'home team score_17': 'home team score', '8.10 (58)_18': '8.10 ( 58 )', 'and_9': 'and', 'str_eq_6': 'str_eq', 'str_hop_5': 'str_hop', 'venue_19': 'venue', 'lake oval_20': 'lake oval', 'str_eq_8': 'str_eq', 'str_hop_7': 'str_hop', 'date_21': 'date', '22 june 1963_22': '22 june 1963'} | {'and_11': [12], 'result_12': [], 'str_eq_2': [11], 'str_hop_1': [2], 'argmin_0': [1, 3, 5, 7], 'all_rows_13': [0], 'crowd_14': [0], 'home team_15': [1], 'south melbourne_16': [2], 'and_10': [11], 'str_eq_4': [10], 'str_hop_3': [4], 'home team score_17': [3], '8.10 (58)_18': [4], 'and_9': [10], 'str_eq_6': [9], 'str_hop_5': [6], 'venue_19': [5], 'lake oval_20': [6], 'str_eq_8': [9], 'str_hop_7': [8], 'date_21': [7], '22 june 1963_22': [8]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['melbourne', '18.6 ( 114 )', 'north melbourne', '9.10 ( 64 )', 'mcg', '23971', '22 june 1963'], ['geelong', '16.13 ( 109 )', 'richmond', '10.11 ( 71 )', 'kardinia park', '20681', '22 june 1963'], ['essendon', '4.16 ( 40 )', 'st kilda', '8.8 ( 56 )', 'windy hill', '24725', '22 june 1963'], ['collingwood', '11.6 ( 72 )', 'footscray', '6.4 ( 40 )', 'victoria park', '26173', '22 june 1963'], ['south melbourne', '8.10 ( 58 )', 'fitzroy', '5.9 ( 39 )', 'lake oval', '12850', '22 june 1963'], ['hawthorn', '9.6 ( 60 )', 'carlton', '7.12 ( 54 )', 'glenferrie oval', '25300', '22 june 1963']] |
swimming at the 2000 summer olympics - men 's 200 metre butterfly | https://en.wikipedia.org/wiki/Swimming_at_the_2000_Summer_Olympics_%E2%80%93_Men%27s_200_metre_butterfly | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12446425-5.html.csv | comparative | franck esposito recorded a faster time than andrew livingston at the 2000 summer olympics - men 's 200 metre butterfly . | {'row_1': '4', 'row_2': '6', 'col': '5', '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', 'name', 'franck esposito'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose name record fuzzily matches to franck esposito .', 'tostr': 'filter_eq { all_rows ; name ; franck esposito }'}, 'time'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; name ; franck esposito } ; time }', 'tointer': 'select the rows whose name record fuzzily matches to franck esposito . take the time record of this row .'}, {'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'name', 'andrew livingston'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose name record fuzzily matches to andrew livingston .', 'tostr': 'filter_eq { all_rows ; name ; andrew livingston }'}, 'time'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; name ; andrew livingston } ; time }', 'tointer': 'select the rows whose name record fuzzily matches to andrew livingston . take the time record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'less { hop { filter_eq { all_rows ; name ; franck esposito } ; time } ; hop { filter_eq { all_rows ; name ; andrew livingston } ; time } } = true', 'tointer': 'select the rows whose name record fuzzily matches to franck esposito . take the time record of this row . select the rows whose name record fuzzily matches to andrew livingston . take the time record of this row . the first record is less than the second record .'} | less { hop { filter_eq { all_rows ; name ; franck esposito } ; time } ; hop { filter_eq { all_rows ; name ; andrew livingston } ; time } } = true | select the rows whose name record fuzzily matches to franck esposito . take the time record of this row . select the rows whose name record fuzzily matches to andrew livingston . take the time 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, 'name_7': 7, 'franck esposito_8': 8, 'time_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'name_11': 11, 'andrew livingston_12': 12, 'time_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', 'name_7': 'name', 'franck esposito_8': 'franck esposito', 'time_9': 'time', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'name_11': 'name', 'andrew livingston_12': 'andrew livingston', 'time_13': 'time'} | {'less_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'name_7': [0], 'franck esposito_8': [0], 'time_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'name_11': [1], 'andrew livingston_12': [1], 'time_13': [3]} | ['rank', 'lane', 'name', 'nationality', 'time'] | [['1', '4', 'tom malchow', 'united states', '1:56.02'], ['2', '3', 'anatoly polyakov', 'russia', '1:56.78'], ['3', '5', 'michael phelps', 'united states', '1:57.00'], ['4', '6', 'franck esposito', 'france', '1:57.04'], ['5', '2', 'denis pankratov', 'russia', '1:57.24'], ['6', '8', 'andrew livingston', 'puerto rico', '1:58.63'], ['7', '1', 'stefan aartsen', 'netherlands', '1:58.66'], ['8', '7', 'thomas rupprath', 'germany', '1:58.96']] |
rupert keegan | https://en.wikipedia.org/wiki/Rupert_Keegan | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1226565-1.html.csv | comparative | rupert keegan used a hestketh made chassis earlier than a surtees one . | {'row_1': '1', 'row_2': '2', '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', 'chassis', 'hesketh 308e'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose chassis record fuzzily matches to hesketh 308e .', 'tostr': 'filter_eq { all_rows ; chassis ; hesketh 308e }'}, 'year'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; chassis ; hesketh 308e } ; year }', 'tointer': 'select the rows whose chassis record fuzzily matches to hesketh 308e . take the year record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'chassis', 'surtees ts19'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose chassis record fuzzily matches to surtees ts19 .', 'tostr': 'filter_eq { all_rows ; chassis ; surtees ts19 }'}, 'year'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; chassis ; surtees ts19 } ; year }', 'tointer': 'select the rows whose chassis record fuzzily matches to surtees ts19 . take the year record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'less { hop { filter_eq { all_rows ; chassis ; hesketh 308e } ; year } ; hop { filter_eq { all_rows ; chassis ; surtees ts19 } ; year } } = true', 'tointer': 'select the rows whose chassis record fuzzily matches to hesketh 308e . take the year record of this row . select the rows whose chassis record fuzzily matches to surtees ts19 . take the year record of this row . the first record is less than the second record .'} | less { hop { filter_eq { all_rows ; chassis ; hesketh 308e } ; year } ; hop { filter_eq { all_rows ; chassis ; surtees ts19 } ; year } } = true | select the rows whose chassis record fuzzily matches to hesketh 308e . take the year record of this row . select the rows whose chassis record fuzzily matches to surtees ts19 . 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, 'chassis_7': 7, 'hesketh 308e_8': 8, 'year_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'chassis_11': 11, 'surtees ts19_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', 'chassis_7': 'chassis', 'hesketh 308e_8': 'hesketh 308e', 'year_9': 'year', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'chassis_11': 'chassis', 'surtees ts19_12': 'surtees ts19', 'year_13': 'year'} | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'chassis_7': [0], 'hesketh 308e_8': [0], 'year_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'chassis_11': [1], 'surtees ts19_12': [1], 'year_13': [3]} | ['year', 'entrant', 'chassis', 'engine', 'pts'] | [['1977', 'penthouse rizla racing', 'hesketh 308e', 'ford v8', '0'], ['1978', 'team surtees', 'surtees ts19', 'ford v8', '0'], ['1978', 'team surtees', 'surtees ts20', 'ford v8', '0'], ['1980', 'ram penthouse rizla racing', 'williams fw07', 'ford v8', '0'], ['1982', 'rothmans march grand prix team', 'march 821', 'ford v8', '0']] |
andrei tarkovsky filmography | https://en.wikipedia.org/wiki/Andrei_Tarkovsky_filmography | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15044621-1.html.csv | majority | most of andrei tarkovsky films were made in the soviet union . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'soviet union', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'country', 'soviet union'], 'result': True, 'ind': 0, 'tointer': 'for the country records of all rows , most of them fuzzily match to soviet union .', 'tostr': 'most_eq { all_rows ; country ; soviet union } = true'} | most_eq { all_rows ; country ; soviet union } = true | for the country records of all rows , most of them fuzzily match to soviet union . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'country_3': 3, 'soviet union_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'country_3': 'country', 'soviet union_4': 'soviet union'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'country_3': [0], 'soviet union_4': [0]} | ['year', 'english title', 'original title', 'country', 'length'] | [['1956', 'the killers', 'убийцы', 'soviet union', '19 min'], ['1959', 'there will be no leave today', 'сегодня увольнения не будет', 'soviet union', '46 min'], ['1961', 'the steamroller and the violin', 'каток и скрипка', 'soviet union', '46 min'], ['1962', "ivan 's childhood", 'иваново детство', 'soviet union', '95 min'], ['1966', 'andrei rublev', 'андрей рублёв', 'soviet union', '205 min'], ['1972', 'solaris', 'солярис', 'soviet union', '165 min'], ['1975', 'the mirror', 'зеркало', 'soviet union', '107 min'], ['1979', 'stalker', 'сталкер', 'soviet union', '164 min'], ['1983', 'nostalghia', 'nostalghia', 'italy / soviet union', '125 min'], ['1983', 'voyage in time', 'tempo di viaggio', 'italy', '63 min'], ['1986', 'the sacrifice', 'offret', 'sweden', '149 min']] |
vcu rams men 's basketball | https://en.wikipedia.org/wiki/VCU_Rams_men%27s_basketball | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14609295-5.html.csv | superlative | the vcu rams men 's basketball team had the highest number of wins in the 2012 season . | {'scope': 'all', 'col_superlative': '2', 'row_superlative': '11', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '1', 'subset': None} | {'func': 'eq', 'args': [{'func': 'num_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'record'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; record }'}, 'year'], 'result': '2012', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; record } ; year }'}, '2012'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { argmax { all_rows ; record } ; year } ; 2012 } = true', 'tointer': 'select the row whose record record of all rows is maximum . the year record of this row is 2012 .'} | eq { hop { argmax { all_rows ; record } ; year } ; 2012 } = true | select the row whose record record of all rows is maximum . the year record of this row is 2012 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'num_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'record_5': 5, 'year_6': 6, '2012_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'num_hop_1': 'num_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'record_5': 'record', 'year_6': 'year', '2012_7': '2012'} | {'eq_2': [3], 'result_3': [], 'num_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'record_5': [0], 'year_6': [1], '2012_7': [2]} | ['year', 'record', 'seed', 'region', 'results'] | [['1980', '18 - 12', '12', 'east', 'l 72 - 86'], ['1981', '24 - 5', '5', 'east', 'w 85 - 69 l 56 - 58 ot'], ['1983', '24 - 7', '5', 'east', 'w 76 - 67 l 54 - 56'], ['1984', '23 - 7', '6', 'east', 'w 70 - 69 l 63 - 78'], ['1985', '26 - 6', '2', 'west', 'w 81 - 65 l 59 - 63'], ['1996', '24 - 9', '12', 'southeast', 'l 51 - 58'], ['2004', '23 - 8', '13', 'east', 'l 78 - 79'], ['2007', '28 - 7', '11', 'west', 'w 79 - 77 l 79 - 84 ot'], ['2009', '24 - 10', '11', 'east', 'l 64 - 65'], ['2011', '28 - 12', '11', 'southwest', 'w 59 - 46 w 74 - 56 w 94 - 76 w 72 - 71 ot w 71 - 61 l 62 - 70'], ['2012', '29 - 7', '12', 'midwest', 'w 62 - 59 l 61 - 63'], ['2013', '27 - 9', '5', 'south', 'w 88 - 42 l 53 - 78']] |
test matches ( 1991 - 2000 ) | https://en.wikipedia.org/wiki/Test_matches_%281991%E2%80%932000%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12410929-44.html.csv | count | australia won a total of three cricket test matches against england . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'cricket', 'result': '3', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'venue', 'cricket'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose venue record fuzzily matches to cricket .', 'tostr': 'filter_eq { all_rows ; venue ; cricket }'}], 'result': '3', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; venue ; cricket } }', 'tointer': 'select the rows whose venue record fuzzily matches to cricket . the number of such rows is 3 .'}, '3'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; venue ; cricket } } ; 3 } = true', 'tointer': 'select the rows whose venue record fuzzily matches to cricket . the number of such rows is 3 .'} | eq { count { filter_eq { all_rows ; venue ; cricket } } ; 3 } = true | select the rows whose venue record fuzzily matches to cricket . 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, 'venue_5': 5, 'cricket_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', 'venue_5': 'venue', 'cricket_6': 'cricket', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'venue_5': [0], 'cricket_6': [0], '3_7': [2]} | ['date', 'home captain', 'away captain', 'venue', 'result'] | [['25 , 26 , 27 , 28 , 29 november 1994', 'mark taylor', 'mike atherton', 'brisbane cricket ground', 'aus by 184 runs'], ['24 , 26 , 27 , 28 , 29 december 1994', 'mark taylor', 'mike atherton', 'melbourne cricket ground', 'aus by 295 runs'], ['1 , 2 , 3 , 4 , 5 january 1995', 'mark taylor', 'mike atherton', 'sydney cricket ground', 'draw'], ['26 , 27 , 28 , 29 , 30 january 1995', 'mark taylor', 'mike atherton', 'adelaide oval', 'eng by 106 runs'], ['3 , 4 , 5 , 6 , 7 february 1995', 'mark taylor', 'mike atherton', 'waca ground', 'aus by 329 runs']] |
prva hnl | https://en.wikipedia.org/wiki/Prva_HNL | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1510519-1.html.csv | comparative | lokomotiva b has participated in a lower number of seasons in prva hnl than slaven belupo b. | {'row_1': '5', 'row_2': '8', 'col': '5', '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', 'club', 'lokomotiva b'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose club record fuzzily matches to lokomotiva b .', 'tostr': 'filter_eq { all_rows ; club ; lokomotiva b }'}, 'number of seasons in prva hnl'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; club ; lokomotiva b } ; number of seasons in prva hnl }', 'tointer': 'select the rows whose club record fuzzily matches to lokomotiva b . take the number of seasons in prva hnl record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'club', 'slaven belupo b'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose club record fuzzily matches to slaven belupo b .', 'tostr': 'filter_eq { all_rows ; club ; slaven belupo b }'}, 'number of seasons in prva hnl'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; club ; slaven belupo b } ; number of seasons in prva hnl }', 'tointer': 'select the rows whose club record fuzzily matches to slaven belupo b . take the number of seasons in prva hnl record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'less { hop { filter_eq { all_rows ; club ; lokomotiva b } ; number of seasons in prva hnl } ; hop { filter_eq { all_rows ; club ; slaven belupo b } ; number of seasons in prva hnl } } = true', 'tointer': 'select the rows whose club record fuzzily matches to lokomotiva b . take the number of seasons in prva hnl record of this row . select the rows whose club record fuzzily matches to slaven belupo b . take the number of seasons in prva hnl record of this row . the first record is less than the second record .'} | less { hop { filter_eq { all_rows ; club ; lokomotiva b } ; number of seasons in prva hnl } ; hop { filter_eq { all_rows ; club ; slaven belupo b } ; number of seasons in prva hnl } } = true | select the rows whose club record fuzzily matches to lokomotiva b . take the number of seasons in prva hnl record of this row . select the rows whose club record fuzzily matches to slaven belupo b . take the number of seasons in prva hnl 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, 'club_7': 7, 'lokomotiva b_8': 8, 'number of seasons in prva hnl_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'club_11': 11, 'slaven belupo b_12': 12, 'number of seasons in prva hnl_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', 'club_7': 'club', 'lokomotiva b_8': 'lokomotiva b', 'number of seasons in prva hnl_9': 'number of seasons in prva hnl', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'club_11': 'club', 'slaven belupo b_12': 'slaven belupo b', 'number of seasons in prva hnl_13': 'number of seasons in prva hnl'} | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'club_7': [0], 'lokomotiva b_8': [0], 'number of seasons in prva hnl_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'club_11': [1], 'slaven belupo b_12': [1], 'number of seasons in prva hnl_13': [3]} | ['club', 'position in 2012 - 13', 'first season in top division', 'number of seasons in top division', 'number of seasons in prva hnl', 'first season of current spell in top division', 'top division titles', 'last top division title'] | [['dinamo zagreb a , b', '001 1st', '1946 - 47', '68', '23', '1946 - 47', '19 c', '2012 - 13'], ['hajduk split a , b', '004 4th', '1923', '86', '23', '1923', '15 d', '2004 - 05'], ['hrvatski dragovoljac', 'zzz 1st in 2 . hnl', '1995 - 96', '9', '9', '2013 - 14', '0', 'n / a'], ['istra 1961', '006 6th', '2004 - 05', '8', '8', '2009 - 10', '0', 'n / a'], ['lokomotiva b', '002 2nd', '1946 - 47', '15', '5', '2009 - 10', '0', 'n / a'], ['osijek a , b', '007 7th', '1953 - 54', '38', '23', '1981 - 82', '0', 'n / a'], ['rijeka a , b', '003 3rd', '1946 - 47', '52', '23', '1974 - 75', '0', 'n / a'], ['slaven belupo b', '008 8th', '1997 - 98', '17', '17', '1997 - 98', '0', 'n / a'], ['rnk split b', '005 5th', '1957 - 58', '6', '4', '2010 - 11', '0', 'n / a']] |
2011 pacific games | https://en.wikipedia.org/wiki/2011_Pacific_Games | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16777236-1.html.csv | unique | the holder of rank 5 was the only one at the 2011 pacific games to win 34 bronze medals . | {'scope': 'all', 'row': '5', 'col': '4', 'col_other': '1', 'criterion': 'equal', 'value': '34', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'bronze', '34'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose bronze record is equal to 34 .', 'tostr': 'filter_eq { all_rows ; bronze ; 34 }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; bronze ; 34 } }', 'tointer': 'select the rows whose bronze record is equal to 34 . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'bronze', '34'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose bronze record is equal to 34 .', 'tostr': 'filter_eq { all_rows ; bronze ; 34 }'}, 'rank'], 'result': '5', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; bronze ; 34 } ; rank }'}, '5'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; bronze ; 34 } ; rank } ; 5 }', 'tointer': 'the rank record of this unqiue row is 5 .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; bronze ; 34 } } ; eq { hop { filter_eq { all_rows ; bronze ; 34 } ; rank } ; 5 } } = true', 'tointer': 'select the rows whose bronze record is equal to 34 . there is only one such row in the table . the rank record of this unqiue row is 5 .'} | and { only { filter_eq { all_rows ; bronze ; 34 } } ; eq { hop { filter_eq { all_rows ; bronze ; 34 } ; rank } ; 5 } } = true | select the rows whose bronze record is equal to 34 . there is only one such row in the table . the rank record of this unqiue row is 5 . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_eq_0': 0, 'all_rows_6': 6, 'bronze_7': 7, '34_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'rank_9': 9, '5_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_eq_0': 'filter_eq', 'all_rows_6': 'all_rows', 'bronze_7': 'bronze', '34_8': '34', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'rank_9': 'rank', '5_10': '5'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_eq_0': [1, 2], 'all_rows_6': [0], 'bronze_7': [0], '34_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'rank_9': [2], '5_10': [3]} | ['rank', 'gold', 'silver', 'bronze', 'total'] | [['1', '120', '107', '61', '288'], ['2', '60', '42', '42', '144'], ['3', '48', '25', '48', '121'], ['4', '33', '44', '53', '130'], ['5', '22', '17', '34', '73'], ['6', '8', '10', '10', '28'], ['7', '4', '6', '10', '20'], ['8', '3', '0', '0', '3'], ['9', '2', '6', '4', '12'], ['10', '2', '3', '7', '12'], ['11', '1', '8', '8', '17'], ['12', '1', '6', '6', '13'], ['13', '1', '0', '0', '1'], ['14', '0', '6', '5', '11'], ['15', '0', '5', '17', '22'], ['16', '0', '3', '3', '6'], ['17', '0', '2', '1', '3'], ['18', '0', '1', '3', '4'], ['19', '0', '0', '0', '0'], ['total', '305', '291', '312', '908']] |
sergio liani | https://en.wikipedia.org/wiki/Sergio_Liani | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11881103-1.html.csv | majority | most events sergio liani participated in were the 110 m hurdles . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'equal', 'value': '110 m hurdles', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'event', '110 m hurdles'], 'result': True, 'ind': 0, 'tointer': 'for the event records of all rows , most of them fuzzily match to 110 m hurdles .', 'tostr': 'most_eq { all_rows ; event ; 110 m hurdles } = true'} | most_eq { all_rows ; event ; 110 m hurdles } = true | for the event records of all rows , most of them fuzzily match to 110 m hurdles . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'event_3': 3, '110 m hurdles_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'event_3': 'event', '110 m hurdles_4': '110 m hurdles'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'event_3': [0], '110 m hurdles_4': [0]} | ['year', 'tournament', 'venue', 'result', 'event'] | [['1966', 'european championships', 'budapest , hungary', '6th', '110 m hurdles'], ['1967', 'mediterranean games', 'tunis , tunisia', '2nd', '110 m hurdles'], ['1970', 'universiade', 'turin , italy', '3rd', '110 m hurdles'], ['1971', 'european indoor championships', 'sofia , bulgaria', '3rd', '60 m hurdles'], ['1971', 'european championships', 'helsinki , finland', '6th', '110 m hurdles'], ['1971', 'mediterranean games', 'izmir , turkey', '2nd', '110 m hurdles']] |
shweta mohan | https://en.wikipedia.org/wiki/Shweta_Mohan | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18550192-2.html.csv | ordinal | nee maatalo was the fourth of these songs to be released . | {'row': '4', 'col': '1', 'order': '4', 'col_other': '2', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'year', '4'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; year ; 4 }'}, 'song title'], 'result': 'nee maatalo', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; year ; 4 } ; song title }'}, 'nee maatalo'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { nth_argmin { all_rows ; year ; 4 } ; song title } ; nee maatalo } = true', 'tointer': 'select the row whose year record of all rows is 4th minimum . the song title record of this row is nee maatalo .'} | eq { hop { nth_argmin { all_rows ; year ; 4 } ; song title } ; nee maatalo } = true | select the row whose year record of all rows is 4th minimum . the song title record of this row is nee maatalo . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'year_5': 5, '4_6': 6, 'song title_7': 7, 'nee maatalo_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmin_0': 'nth_argmin', 'all_rows_4': 'all_rows', 'year_5': 'year', '4_6': '4', 'song title_7': 'song title', 'nee maatalo_8': 'nee maatalo'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'year_5': [0], '4_6': [0], 'song title_7': [1], 'nee maatalo_8': [2]} | ['year', 'song title', 'film', 'co - singer', 'music - director'] | [['2010', 'amma thale', 'puli ( soundtrack )', 'naresh iyer', 'a r rahman'], ['2010', 'piliche', 'khaleja', 'hemachandra', 'mani sharma'], ['2010', 'boom boom robo ra', 'enthiran', 'tanvi shah', 'a r rahman'], ['2011', 'nee maatalo', '180 ( 2011 indian film )', 'karthik', 'sharreth'], ['2012', 'dil se', 'gabbar singh ( film )', 'hemachandra', 'devi sri prasad'], ['2012', 'aagipo', 'ko antey koti', 'karthik , chinnaponnu', 'shakti kanth'], ['2012', 'kaatuka kallu', 'sarocharu', 'khushi murali', 'devi sri prasad'], ['2013', 'hey po', 'okkadine', 'solo', 'karthik'], ['2013', 'neetho edo', 'paisa ( film )', 'solo', 'sai karthik'], ['2013', 'nemmadiga', 'bhai ( 2013 film )', 'venu srirangam', 'devi sri prasad']] |
1990 - 91 segunda división | https://en.wikipedia.org/wiki/1990%E2%80%9391_Segunda_Divisi%C3%B3n | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12103836-2.html.csv | majority | all the teams in the 1990-91 segunda división played 38 games . | {'scope': 'all', 'col': '3', 'most_or_all': 'all', 'criterion': 'equal', 'value': '38', 'subset': None} | {'func': 'all_eq', 'args': ['all_rows', 'played', '38'], 'result': True, 'ind': 0, 'tointer': 'for the played records of all rows , all of them are equal to 38 .', 'tostr': 'all_eq { all_rows ; played ; 38 } = true'} | all_eq { all_rows ; played ; 38 } = true | for the played records of all rows , all of them are equal to 38 . | 1 | 1 | {'all_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'played_3': 3, '38_4': 4} | {'all_eq_0': 'all_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'played_3': 'played', '38_4': '38'} | {'all_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'played_3': [0], '38_4': [0]} | ['position', 'club', 'played', 'points', 'wins', 'draws', 'losses', 'goals for', 'goals against', 'goal difference'] | [['1', 'albacete bp', '38', '49 + 11', '18', '13', '7', '56', '31', '+ 25'], ['2', 'deportivo de la coruña', '38', '48 + 10', '20', '8', '10', '60', '32', '+ 28'], ['3', 'real murcia', '38', '48 + 10', '18', '12', '8', '56', '36', '+ 20'], ['4', 'cd málaga', '38', '46 + 8', '16', '14', '8', '52', '35', '+ 17'], ['5', 'orihuela deportiva 1', '38', '43 + 5', '12', '19', '7', '46', '39', '+ 7'], ['6', 'ue lleida', '38', '43 + 5', '16', '11', '11', '41', '36', '+ 5'], ['7', 'ue figueres', '38', '39 + 1', '14', '11', '13', '44', '42', '+ 2'], ['8', 'sestao', '38', '38', '9', '20', '9', '29', '27', '+ 2'], ['9', 'real avilés', '38', '38', '10', '18', '10', '35', '37', '- 2'], ['10', 'sd eibar', '38', '37 - 1', '9', '19', '10', '35', '34', '+ 1'], ['11', 'rayo vallecano', '38', '36 - 2', '8', '20', '10', '44', '50', '- 6'], ['12', 'ce sabadell fc', '38', '36 - 2', '11', '14', '13', '32', '45', '- 13'], ['13', 'bilbao athletic', '38', '36 - 2', '11', '14', '13', '35', '43', '- 8'], ['14', 'celta de vigo', '38', '36 - 2', '8', '20', '10', '31', '38', '- 7'], ['15', 'ud las palmas', '38', '36 - 2', '10', '16', '12', '38', '43', '- 5'], ['16', 'palamós cf', '38', '35 - 3', '9', '17', '12', '33', '46', '- 13'], ['17', 'elche cf', '38', '34 - 4', '12', '10', '16', '39', '45', '- 9'], ['18', 'ud salamanca', '38', '31 - 7', '9', '13', '16', '41', '40', '+ 1'], ['19', 'levante ud', '38', '27 - 11', '6', '15', '17', '27', '51', '- 24'], ['20', 'xerez cd', '38', '24 - 14', '6', '12', '20', '37', '61', '- 24']] |
fabienne suter | https://en.wikipedia.org/wiki/Fabienne_Suter | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16403980-1.html.csv | count | fabienne suter had an overall ski race standing of rank 7 in a total of two seasons . | {'scope': 'all', 'criterion': 'equal', 'value': '7', 'result': '2', 'col': '2', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'overall', '7'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose overall record is equal to 7 .', 'tostr': 'filter_eq { all_rows ; overall ; 7 }'}], 'result': '2', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; overall ; 7 } }', 'tointer': 'select the rows whose overall record is equal to 7 . the number of such rows is 2 .'}, '2'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; overall ; 7 } } ; 2 } = true', 'tointer': 'select the rows whose overall record is equal to 7 . the number of such rows is 2 .'} | eq { count { filter_eq { all_rows ; overall ; 7 } } ; 2 } = true | select the rows whose overall record is equal to 7 . the number of such rows is 2 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_eq_0': 0, 'all_rows_4': 4, 'overall_5': 5, '7_6': 6, '2_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_eq_0': 'filter_eq', 'all_rows_4': 'all_rows', 'overall_5': 'overall', '7_6': '7', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_eq_0': [1], 'all_rows_4': [0], 'overall_5': [0], '7_6': [0], '2_7': [2]} | ['season', 'overall', 'slalom', 'giant slalom', 'super g', 'downhill', 'combined'] | [['2003', '110', '-', '48', '-', '-', '-'], ['2007', '95', '-', '46', '36', '-', '-'], ['2008', '21', '-', '35', '3', '35', '-'], ['2009', '7', '-', '20', '3', '8', '6'], ['2010', '7', '-', '27', '4', '7', '6'], ['2011', '18', '-', '31', '12', '15', '13'], ['2012', '18', '-', '36', '5', '16', '-'], ['2013', '28', '-', '44', '7', '25', '-']] |
list of career achievements by jack nicklaus | https://en.wikipedia.org/wiki/List_of_career_achievements_by_Jack_Nicklaus | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-13026799-7.html.csv | majority | jack nicklaus beat most of his opponents by less than two strokes . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'less_than', 'value': '2', 'subset': None} | {'func': 'most_less', 'args': ['all_rows', 'margin of victory', '2'], 'result': True, 'ind': 0, 'tointer': 'for the margin of victory records of all rows , most of them are less than 2 .', 'tostr': 'most_less { all_rows ; margin of victory ; 2 } = true'} | most_less { all_rows ; margin of victory ; 2 } = true | for the margin of victory records of all rows , most of them are less than 2 . | 1 | 1 | {'most_less_0': 0, 'result_1': 1, 'all_rows_2': 2, 'margin of victory_3': 3, '2_4': 4} | {'most_less_0': 'most_less', 'result_1': 'true', 'all_rows_2': 'all_rows', 'margin of victory_3': 'margin of victory', '2_4': '2'} | {'most_less_0': [1], 'result_1': [], 'all_rows_2': [0], 'margin of victory_3': [0], '2_4': [0]} | ['date', 'tournament', 'winning score', 'margin of victory', 'runner ( s ) - up'] | [['apr 1 , 1990', 'the tradition at desert mountain', '- 10 ( 71 + 67 + 68 = 206 )', '4 strokes', 'gary player'], ['jun 10 , 1990', 'mazda senior tournament players championship', '- 27 ( 65 + 68 + 64 + 64 = 261 )', '6 strokes', 'lee trevino'], ['apr 7 , 1991', 'the tradition at desert mountain', '- 11 ( 71 + 73 + 66 + 67 = 277 )', '1 stroke', 'jim colbert , jim dent , phil rodgers'], ['apr 21 , 1991', "pga seniors ' championship", '- 17 ( 66 + 66 + 69 + 70 = 271 )', '6 strokes', 'bruce crampton'], ['jul 29 , 1991', 'us senior open', '+ 2 ( 72 + 69 + 70 + 71 = 282 )', 'playoff', 'chi - chi rodriguez'], ['jul 11 , 1993', 'us senior open', '- 6 ( 68 + 73 + 67 + 70 = 278 )', '1 stroke', 'tom weiskopf'], ['jan 9 , 1994', 'mercedes championships', '- 9 ( 73 + 69 + 69 + 68 = 279 )', '1 stroke', 'bob murphy'], ['apr 2 , 1995', 'the tradition', '- 12 ( 69 + 71 + 69 + 67 = 276 )', 'playoff', 'isao aoki'], ['feb 18 , 1996', 'gte suncoast classic', '- 2 ( 76 + 68 + 67 = 211 )', '1 stroke', 'j c snead'], ['apr 7 , 1996', 'the tradition', '- 16 ( 68 + 74 + 65 + 65 = 272 )', '3 strokes', 'hale irwin']] |
weltklang | https://en.wikipedia.org/wiki/Weltklang | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18948956-2.html.csv | majority | the majority of weltklang 's tracks have been released in the cd format . | {'scope': 'all', 'col': '3', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'cd', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'format', 'cd'], 'result': True, 'ind': 0, 'tointer': 'for the format records of all rows , most of them fuzzily match to cd .', 'tostr': 'most_eq { all_rows ; format ; cd } = true'} | most_eq { all_rows ; format ; cd } = true | for the format records of all rows , most of them fuzzily match to cd . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'format_3': 3, 'cd_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'format_3': 'format', 'cd_4': 'cd'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'format_3': [0], 'cd_4': [0]} | ['release', 'track', 'format', 'label', 'year'] | [['liebesgrüsse aus ost - berlin', 'mono 45upm - romance adieu ( weltklang remix )', '12', 'exil - system', '2006'], ['a dark wave from the black sea', 'aeronautica - rocket bomb ( weltklang remix )', 'cd', 'exil - system', '2007'], ['the greater key', 'asmodeus x - typhoon ( weltklang remix )', 'cd', 'latex records', '2008'], ['classic electro', 'p1 / e - 49 second dance ( weltklang remix )', 'cd', 'electro emotions', '2008'], ['classic electro', 'mono 45upm - romance adieu ( weltklang remix )', 'cd', 'electro emotions', '2008'], ['classic electro', 'kinder aus asbest - hey engel ( weltklang remix )', 'cd', 'electro emotions', '2008'], ['classic electro', 'sonnenbrandt - entweder / oder ( weltklang remix )', 'cd', 'electro emotions', '2008']] |
1971 new york jets season | https://en.wikipedia.org/wiki/1971_New_York_Jets_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-13963486-2.html.csv | count | of the games played in shea stadium by the 1971 new york jets , four had an attendance over 63000 . | {'scope': 'subset', 'criterion': 'greater_than', 'value': '63000', 'result': '4', 'col': '6', 'subset': {'col': '5', 'criterion': 'equal', 'value': 'shea stadium'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_greater', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'game site', 'shea stadium'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; game site ; shea stadium }', 'tointer': 'select the rows whose game site record fuzzily matches to shea stadium .'}, 'attendance', '63000'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose game site record fuzzily matches to shea stadium . among these rows , select the rows whose attendance record is greater than 63000 .', 'tostr': 'filter_greater { filter_eq { all_rows ; game site ; shea stadium } ; attendance ; 63000 }'}], 'result': '4', 'ind': 2, 'tostr': 'count { filter_greater { filter_eq { all_rows ; game site ; shea stadium } ; attendance ; 63000 } }', 'tointer': 'select the rows whose game site record fuzzily matches to shea stadium . among these rows , select the rows whose attendance record is greater than 63000 . the number of such rows is 4 .'}, '4'], 'result': True, 'ind': 3, 'tostr': 'eq { count { filter_greater { filter_eq { all_rows ; game site ; shea stadium } ; attendance ; 63000 } } ; 4 } = true', 'tointer': 'select the rows whose game site record fuzzily matches to shea stadium . among these rows , select the rows whose attendance record is greater than 63000 . the number of such rows is 4 .'} | eq { count { filter_greater { filter_eq { all_rows ; game site ; shea stadium } ; attendance ; 63000 } } ; 4 } = true | select the rows whose game site record fuzzily matches to shea stadium . among these rows , select the rows whose attendance record is greater than 63000 . the number of such rows is 4 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'count_2': 2, 'filter_greater_1': 1, 'filter_str_eq_0': 0, 'all_rows_5': 5, 'game site_6': 6, 'shea stadium_7': 7, 'attendance_8': 8, '63000_9': 9, '4_10': 10} | {'eq_3': 'eq', 'result_4': 'true', 'count_2': 'count', 'filter_greater_1': 'filter_greater', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_5': 'all_rows', 'game site_6': 'game site', 'shea stadium_7': 'shea stadium', 'attendance_8': 'attendance', '63000_9': '63000', '4_10': '4'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_greater_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'game site_6': [0], 'shea stadium_7': [0], 'attendance_8': [1], '63000_9': [1], '4_10': [3]} | ['week', 'date', 'opponent', 'result', 'game site', 'attendance'] | [['1', '1971 - 09 - 19', 'baltimore colts', 'l 22 - 0', 'memorial stadium', '56458'], ['2', '1971 - 09 - 27', 'st louis cardinals', 'l 17 - 10', 'busch memorial stadium', '50358'], ['3', '1971 - 10 - 03', 'miami dolphins', 'w 14 - 10', 'miami orange bowl', '70670'], ['4', '1971 - 10 - 10', 'new england patriots', 'l 20 - 0', 'schafer stadium', '61357'], ['5', '1971 - 10 - 17', 'buffalo bills', 'w 28 - 17', 'shea stadium', '61948'], ['6', '1971 - 10 - 24', 'miami dolphins', 'l 30 - 14', 'shea stadium', '62130'], ['7', '1971 - 10 - 31', 'san diego chargers', 'l 49 - 21', 'san diego stadium', '44786'], ['8', '1971 - 11 - 07', 'kansas city chiefs', 'w 13 - 10', 'shea stadium', '62812'], ['9', '1971 - 11 - 14', 'baltimore colts', 'l 14 - 13', 'shea stadium', '63947'], ['10', '1971 - 11 - 21', 'buffalo bills', 'w 20 - 7', 'war memorial stadium', '41577'], ['11', '1971 - 11 - 28', 'san francisco 49ers', 'l 24 - 21', 'shea stadium', '63936'], ['12', '1971 - 12 - 04', 'dallas cowboys', 'l 52 - 10', 'texas stadium', '66689'], ['13', '1971 - 12 - 12', 'new england patriots', 'w 13 - 6', 'shea stadium', '63175'], ['14', '1971 - 12 - 19', 'cincinnati bengals', 'w 35 - 21', 'shea stadium', '63151']] |
mark muñoz | https://en.wikipedia.org/wiki/Mark_Mu%C3%B1oz | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18177589-2.html.csv | count | among the ufc fights , mark muñoz won eight of the fights . | {'scope': 'subset', 'criterion': 'equal', 'value': 'win', 'result': '8', 'col': '1', 'subset': {'col': '5', 'criterion': 'fuzzily_match', 'value': 'ufc'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'event', 'ufc'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; event ; ufc }', 'tointer': 'select the rows whose event record fuzzily matches to ufc .'}, 'res', 'win'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose event record fuzzily matches to ufc . among these rows , select the rows whose res record fuzzily matches to win .', 'tostr': 'filter_eq { filter_eq { all_rows ; event ; ufc } ; res ; win }'}], 'result': '8', 'ind': 2, 'tostr': 'count { filter_eq { filter_eq { all_rows ; event ; ufc } ; res ; win } }', 'tointer': 'select the rows whose event record fuzzily matches to ufc . among these rows , select the rows whose res record fuzzily matches to win . the number of such rows is 8 .'}, '8'], 'result': True, 'ind': 3, 'tostr': 'eq { count { filter_eq { filter_eq { all_rows ; event ; ufc } ; res ; win } } ; 8 } = true', 'tointer': 'select the rows whose event record fuzzily matches to ufc . among these rows , select the rows whose res record fuzzily matches to win . the number of such rows is 8 .'} | eq { count { filter_eq { filter_eq { all_rows ; event ; ufc } ; res ; win } } ; 8 } = true | select the rows whose event record fuzzily matches to ufc . among these rows , select the rows whose res record fuzzily matches to win . the number of such rows is 8 . | 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, 'event_6': 6, 'ufc_7': 7, 'res_8': 8, 'win_9': 9, '8_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', 'event_6': 'event', 'ufc_7': 'ufc', 'res_8': 'res', 'win_9': 'win', '8_10': '8'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_str_eq_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'event_6': [0], 'ufc_7': [0], 'res_8': [1], 'win_9': [1], '8_10': [3]} | ['res', 'record', 'opponent', 'method', 'event', 'round', 'time', 'location'] | [['loss', '13 - 4', 'lyoto machida', 'ko ( head kick )', 'ufc fight night : machida vs munoz', '1', '3:10', 'manchester , england , united kingdom'], ['win', '13 - 3', 'tim boetsch', 'decision ( unanimous )', 'ufc 162', '3', '5:00', 'las vegas , nevada , united states'], ['loss', '12 - 3', 'chris weidman', 'ko ( elbow & punches )', 'ufc on fuel tv : munoz vs weidman', '2', '1:37', 'san jose , california , united states'], ['win', '12 - 2', 'chris leben', 'tko ( corner stoppage )', 'ufc 138', '2', '5:00', 'birmingham , england , united kingdom'], ['win', '11 - 2', 'demian maia', 'decision ( unanimous )', 'ufc 131', '3', '5:00', 'vancouver , british columbia , canada'], ['win', '10 - 2', 'cb dollaway', 'ko ( punches )', 'ufc live : sanchez vs kampmann', '1', '0:54', 'louisville , kentucky , united states'], ['win', '9 - 2', 'aaron simpson', 'decision ( unanimous )', 'ufc 123', '3', '5:00', 'auburn hills , michigan , united states'], ['loss', '8 - 2', 'yushin okami', 'decision ( split )', 'ufc live : jones vs matyushenko', '3', '5:00', 'san diego , california , united states'], ['win', '8 - 1', 'kendall grove', 'tko ( punches )', 'ufc 112', '2', '2:50', 'abu dhabi , united arab emirates'], ['win', '7 - 1', 'ryan jensen', 'submission ( punches )', 'ufc 108', '1', '2:30', 'las vegas , nevada , united states'], ['win', '6 - 1', 'nick catone', 'decision ( split )', 'ufc 102', '3', '5:00', 'portland , oregon , united states'], ['loss', '5 - 1', 'matt hamill', 'ko ( head kick )', 'ufc 96', '1', '3:53', 'columbus , ohio , united states'], ['win', '5 - 0', 'ricardo barros', 'tko ( punches )', 'wec 37', '1', '2:26', 'las vegas , nevada , united states'], ['win', '4 - 0', 'chuck grigsby', 'ko ( punches )', 'wec 34', '1', '4:15', 'sacramento , california , united states'], ['win', '3 - 0', 'tony rubalcava', 'decision ( unanimous )', 'pfc 4 : project complete', '3', '3:00', 'lemoore , california , united states'], ['win', '2 - 0', 'mike pierce', 'decision ( unanimous )', 'gc 69 : bad intentions', '3', '5:00', 'sacramento , california , united states'], ['win', '1 - 0', 'austin achorn', 'tko ( punches )', 'pfc 3 : step up', '1', '1:25', 'lemoore , california , united states']] |
wzxv | https://en.wikipedia.org/wiki/WZXV | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15493221-1.html.csv | majority | all of the wzxv radio station call signs are class d. | {'scope': 'all', 'col': '7', 'most_or_all': 'all', 'criterion': 'equal', 'value': 'd', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'class', 'd'], 'result': True, 'ind': 0, 'tointer': 'for the class records of all rows , all of them fuzzily match to d .', 'tostr': 'all_eq { all_rows ; class ; d } = true'} | all_eq { all_rows ; class ; d } = true | for the class records of all rows , all of them fuzzily match to d . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'class_3': 3, 'd_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'class_3': 'class', 'd_4': 'd'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'class_3': [0], 'd_4': [0]} | ['call sign', 'frequency mhz', 'city of license', 'facility id', 'erp w', 'height m ( ft )', 'class', 'fcc info'] | [['w227bw', '93.3', 'cheektowaga', '151267', '99', '-', 'd', 'fcc'], ['w248at', '97.5', 'corfy', '150935', '10', '-', 'd', 'fcc'], ['w248bc', '97.5', 'dansville', '86505', '10', '-', 'd', 'fcc'], ['w266be', '101.1', 'auburn', '138601', '27', '-', 'd', 'fcc'], ['w273af', '102.5', 'penn yan', '86524', '3', '-', 'd', 'fcc'], ['w275bl', '102.9', 'batavia', '150833', '29', '-', 'd', 'fcc'], ['w278ah', '103.5', 'syracuse / jamesville , new york', '81126', '10', '-', 'd', 'fcc'], ['w281at', '104.1', 'watkins glen', '151635', '10', '-', 'd', 'fcc'], ['w283au', '104.5', 'houghton', '151698', '10', '-', 'd', 'fcc']] |
1931 vfl season | https://en.wikipedia.org/wiki/1931_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10789881-5.html.csv | aggregation | in the 1931 vfl season , the games played on may 30th , 1931 had an average crowd size of 16,707 . | {'scope': 'all', 'col': '6', 'type': 'average', 'result': '16,707', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'crowd'], 'result': '16,707', 'ind': 0, 'tostr': 'avg { all_rows ; crowd }'}, '16,707'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; crowd } ; 16,707 } = true', 'tointer': 'the average of the crowd record of all rows is 16,707 .'} | round_eq { avg { all_rows ; crowd } ; 16,707 } = true | the average of the crowd record of all rows is 16,707 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'crowd_4': 4, '16,707_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'crowd_4': 'crowd', '16,707_5': '16,707'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'crowd_4': [0], '16,707_5': [1]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['hawthorn', '11.10 ( 76 )', 'south melbourne', '11.13 ( 79 )', 'glenferrie oval', '11000', '30 may 1931'], ['essendon', '10.12 ( 72 )', 'richmond', '11.20 ( 86 )', 'windy hill', '15000', '30 may 1931'], ['carlton', '16.11 ( 107 )', 'collingwood', '13.13 ( 91 )', 'princes park', '35000', '30 may 1931'], ['st kilda', '13.19 ( 97 )', 'north melbourne', '7.10 ( 52 )', 'junction oval', '10000', '30 may 1931'], ['melbourne', '13.9 ( 87 )', 'footscray', '10.11 ( 71 )', 'mcg', '20244', '30 may 1931'], ['geelong', '20.22 ( 142 )', 'fitzroy', '12.9 ( 81 )', 'corio oval', '9000', '30 may 1931']] |
miss international | https://en.wikipedia.org/wiki/Miss_International | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1816311-1.html.csv | comparative | in the miss international contest , lara quigaman was miss international one year before daniela di giacomo was miss international . | {'row_1': '9', 'row_2': '8', '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', 'miss international', 'lara quigaman'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose miss international record fuzzily matches to lara quigaman .', 'tostr': 'filter_eq { all_rows ; miss international ; lara quigaman }'}, 'year'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; miss international ; lara quigaman } ; year }', 'tointer': 'select the rows whose miss international record fuzzily matches to lara quigaman . take the year record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'miss international', 'daniela di giacomo'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose miss international record fuzzily matches to daniela di giacomo .', 'tostr': 'filter_eq { all_rows ; miss international ; daniela di giacomo }'}, 'year'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; miss international ; daniela di giacomo } ; year }', 'tointer': 'select the rows whose miss international record fuzzily matches to daniela di giacomo . take the year record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'less { hop { filter_eq { all_rows ; miss international ; lara quigaman } ; year } ; hop { filter_eq { all_rows ; miss international ; daniela di giacomo } ; year } } = true', 'tointer': 'select the rows whose miss international record fuzzily matches to lara quigaman . take the year record of this row . select the rows whose miss international record fuzzily matches to daniela di giacomo . take the year record of this row . the first record is less than the second record .'} | less { hop { filter_eq { all_rows ; miss international ; lara quigaman } ; year } ; hop { filter_eq { all_rows ; miss international ; daniela di giacomo } ; year } } = true | select the rows whose miss international record fuzzily matches to lara quigaman . take the year record of this row . select the rows whose miss international record fuzzily matches to daniela di giacomo . 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, 'miss international_7': 7, 'lara quigaman_8': 8, 'year_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'miss international_11': 11, 'daniela di giacomo_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', 'miss international_7': 'miss international', 'lara quigaman_8': 'lara quigaman', 'year_9': 'year', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'miss international_11': 'miss international', 'daniela di giacomo_12': 'daniela di giacomo', 'year_13': 'year'} | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'miss international_7': [0], 'lara quigaman_8': [0], 'year_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'miss international_11': [1], 'daniela di giacomo_12': [1], 'year_13': [3]} | ['year', 'country / territory', 'miss international', 'national title', 'location'] | [['2013', 'tba', 'tba', 'tba', 'tokyo , japan'], ['2012', 'japan', 'ikumi yoshimatsu', 'miss japan', 'okinawa , japan'], ['2011', 'ecuador', 'fernanda cornejo', 'miss ecuador', 'chengdu , china'], ['2010', 'venezuela', 'elizabeth mosquera', 'miss venezuela', 'chengdu , china'], ['2009', 'mexico', 'anagabriela espinoza', 'nuestra belleza méxico', 'chengdu , china'], ['2008', 'spain', 'alejandra andreu', 'miss spain', 'macau , china'], ['2007', 'mexico', 'priscila perales', 'nuestra belleza méxico', 'tokyo , japan'], ['2006', 'venezuela', 'daniela di giacomo', 'miss venezuela', 'beijing , china'], ['2005', 'philippines', 'lara quigaman', 'binibining pilipinas', 'tokyo , japan'], ['2004', 'colombia', 'jeymmy vargas', 'miss colombia', 'beijing , china'], ['2003', 'venezuela', 'goizeder azúa', 'miss venezuela', 'tokyo , japan'], ['2002', 'lebanon', 'christina sawaya', 'miss lebanon', 'tokyo , japan'], ['2001', 'poland', 'małgorzata rożniecka', 'miss polonia', 'tokyo , japan'], ['2000', 'venezuela', 'vivian urdaneta', 'miss venezuela', 'tokyo , japan']] |
michael shenton | https://en.wikipedia.org/wiki/Michael_Shenton | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14979029-1.html.csv | count | michael shenton played with the castleford tigers for 7 years . | {'scope': 'all', 'criterion': 'all', 'value': 'castleford tigers', 'result': '7', 'col': '2', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_all', 'args': ['all_rows', 'team'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose team record is arbitrary .', 'tostr': 'filter_all { all_rows ; team }'}], 'result': '7', 'ind': 1, 'tostr': 'count { filter_all { all_rows ; team } }', 'tointer': 'select the rows whose team record is arbitrary . the number of such rows is 7 .'}, '7'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_all { all_rows ; team } } ; 7 } = true', 'tointer': 'select the rows whose team record is arbitrary . the number of such rows is 7 .'} | eq { count { filter_all { all_rows ; team } } ; 7 } = true | select the rows whose team record is arbitrary . the number of such rows is 7 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_all_0': 0, 'all_rows_4': 4, 'team_5': 5, '7_6': 6} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_all_0': 'filter_all', 'all_rows_4': 'all_rows', 'team_5': 'team', '7_6': '7'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_all_0': [1], 'all_rows_4': [0], 'team_5': [0], '7_6': [2]} | ['year', 'team', 'apps', 'tries', 'goals', 'points'] | [['2004', 'castleford tigers', '3', '0', '0', '0'], ['2005', 'castleford tigers', '29', '24', '0', '96'], ['2006', 'castleford tigers', '27', '8', '0', '32'], ['2007', 'castleford tigers', '20', '19', '0', '76'], ['2008', 'castleford tigers', '22', '13', '0', '52'], ['2009', 'castleford tigers', '30', '19', '0', '76'], ['2010', 'castleford tigers', '22', '10', '0', '40'], ['total', 'castleford tigers', '153', '93', '0', '372']] |
1973 vfl season | https://en.wikipedia.org/wiki/1973_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10869537-4.html.csv | count | in the 1973 vfl season , among the games where home team scored below 14.00 , 2 of them were on 28 april 1973 . | {'scope': 'subset', 'criterion': 'equal', 'value': '28 april 1973', 'result': '2', 'col': '7', 'subset': {'col': '2', 'criterion': 'less_than', 'value': '14.0'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_less', 'args': ['all_rows', 'home team score', '14.0'], 'result': None, 'ind': 0, 'tostr': 'filter_less { all_rows ; home team score ; 14.0 }', 'tointer': 'select the rows whose home team score record is less than 14.0 .'}, 'date', '28 april 1973'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose home team score record is less than 14.0 . among these rows , select the rows whose date record fuzzily matches to 28 april 1973 .', 'tostr': 'filter_eq { filter_less { all_rows ; home team score ; 14.0 } ; date ; 28 april 1973 }'}], 'result': '2', 'ind': 2, 'tostr': 'count { filter_eq { filter_less { all_rows ; home team score ; 14.0 } ; date ; 28 april 1973 } }', 'tointer': 'select the rows whose home team score record is less than 14.0 . among these rows , select the rows whose date record fuzzily matches to 28 april 1973 . the number of such rows is 2 .'}, '2'], 'result': True, 'ind': 3, 'tostr': 'eq { count { filter_eq { filter_less { all_rows ; home team score ; 14.0 } ; date ; 28 april 1973 } } ; 2 } = true', 'tointer': 'select the rows whose home team score record is less than 14.0 . among these rows , select the rows whose date record fuzzily matches to 28 april 1973 . the number of such rows is 2 .'} | eq { count { filter_eq { filter_less { all_rows ; home team score ; 14.0 } ; date ; 28 april 1973 } } ; 2 } = true | select the rows whose home team score record is less than 14.0 . among these rows , select the rows whose date record fuzzily matches to 28 april 1973 . the number of such rows is 2 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'count_2': 2, 'filter_str_eq_1': 1, 'filter_less_0': 0, 'all_rows_5': 5, 'home team score_6': 6, '14.0_7': 7, 'date_8': 8, '28 april 1973_9': 9, '2_10': 10} | {'eq_3': 'eq', 'result_4': 'true', 'count_2': 'count', 'filter_str_eq_1': 'filter_str_eq', 'filter_less_0': 'filter_less', 'all_rows_5': 'all_rows', 'home team score_6': 'home team score', '14.0_7': '14.0', 'date_8': 'date', '28 april 1973_9': '28 april 1973', '2_10': '2'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_str_eq_1': [2], 'filter_less_0': [1], 'all_rows_5': [0], 'home team score_6': [0], '14.0_7': [0], 'date_8': [1], '28 april 1973_9': [1], '2_10': [3]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['richmond', '11.18 ( 84 )', 'north melbourne', '14.20 ( 104 )', 'mcg', '48923', '25 april 1973'], ['collingwood', '19.16 ( 130 )', 'st kilda', '8.12 ( 60 )', 'vfl park', '49552', '25 april 1973'], ['geelong', '17.16 ( 118 )', 'south melbourne', '12.14 ( 86 )', 'kardinia park', '14739', '28 april 1973'], ['fitzroy', '13.9 ( 87 )', 'melbourne', '13.16 ( 94 )', 'junction oval', '16101', '28 april 1973'], ['carlton', '14.11 ( 95 )', 'hawthorn', '12.11 ( 83 )', 'princes park', '27913', '28 april 1973'], ['footscray', '8.19 ( 67 )', 'essendon', '17.13 ( 115 )', 'western oval', '25314', '28 april 1973']] |
nightwatchman ( cricket ) | https://en.wikipedia.org/wiki/Nightwatchman_%28cricket%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1377586-1.html.csv | superlative | jason gillespie is the highest scoring nightwatchman in the sport of cricket . | {'scope': 'all', 'col_superlative': '3', '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', 'score'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; score }'}, 'player'], 'result': 'jason gillespie', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; score } ; player }'}, 'jason gillespie'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { argmax { all_rows ; score } ; player } ; jason gillespie } = true', 'tointer': 'select the row whose score record of all rows is maximum . the player record of this row is jason gillespie .'} | eq { hop { argmax { all_rows ; score } ; player } ; jason gillespie } = true | select the row whose score record of all rows is maximum . the player record of this row is jason gillespie . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'score_5': 5, 'player_6': 6, 'jason gillespie_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'score_5': 'score', 'player_6': 'player', 'jason gillespie_7': 'jason gillespie'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'score_5': [0], 'player_6': [1], 'jason gillespie_7': [2]} | ['player', 'team', 'score', 'versus', 'year'] | [['nasim - ul - ghani', 'pakistan', '101', 'england', '1962'], ['tony mann', 'australia', '105', 'india', '1977'], ['syed kirmani', 'india', '101 not out', 'australia', '1979'], ['mark boucher', 'south africa', '125', 'zimbabwe', '1999'], ['mark boucher', 'south africa', '108', 'england', '1999'], ['jason gillespie', 'australia', '201 not out', 'bangladesh', '2006']] |
ingo schultz | https://en.wikipedia.org/wiki/Ingo_Schultz | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15186827-1.html.csv | majority | in the events that ingo schultz placed in , most of them were in the 4x400 meter relay . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'equal', 'value': '4x400 m relay', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'extra', '4x400 m relay'], 'result': True, 'ind': 0, 'tointer': 'for the extra records of all rows , most of them fuzzily match to 4x400 m relay .', 'tostr': 'most_eq { all_rows ; extra ; 4x400 m relay } = true'} | most_eq { all_rows ; extra ; 4x400 m relay } = true | for the extra records of all rows , most of them fuzzily match to 4x400 m relay . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'extra_3': 3, '4x400 m relay_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'extra_3': 'extra', '4x400 m relay_4': '4x400 m relay'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'extra_3': [0], '4x400 m relay_4': [0]} | ['year', 'tournament', 'venue', 'result', 'extra'] | [['2000', 'european indoor championships', 'ghent , belgium', '2nd', '4x400 m relay'], ['2001', 'world championships', 'edmonton , canada', '2nd', '400 m'], ['2002', 'european championships', 'munich , germany', '1st', '400 m'], ['2002', 'european championships', 'munich , germany', '7th', '4x400 m relay'], ['2002', 'world cup', 'madrid , spain', '2nd', '400 m'], ['2002', 'world cup', 'madrid , spain', '7th', '4x400 m relay'], ['2004', 'olympic games', 'athens , greece', '7th', '4x400 m relay']] |
wru division one east | https://en.wikipedia.org/wiki/WRU_Division_One_East | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12784856-5.html.csv | majority | for wru division one east , all of the clubs played 22 games . | {'scope': 'all', 'col': '2', 'most_or_all': 'all', 'criterion': 'equal', 'value': '22', 'subset': None} | {'func': 'all_eq', 'args': ['all_rows', 'played', '22'], 'result': True, 'ind': 0, 'tointer': 'for the played records of all rows , all of them are equal to 22 .', 'tostr': 'all_eq { all_rows ; played ; 22 } = true'} | all_eq { all_rows ; played ; 22 } = true | for the played records of all rows , all of them are equal to 22 . | 1 | 1 | {'all_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'played_3': 3, '22_4': 4} | {'all_eq_0': 'all_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'played_3': 'played', '22_4': '22'} | {'all_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'played_3': [0], '22_4': [0]} | ['club', 'played', 'drawn', 'lost', 'points for', 'points against', 'tries for', 'tries against', 'try bonus', 'losing bonus', 'points'] | [['pontypool rfc', '22', '2', '2', '648', '274', '81', '32', '12', '1', '89'], ['caerphilly rfc', '22', '2', '4', '482', '316', '56', '37', '7', '3', '78'], ['blackwood rfc', '22', '2', '6', '512', '378', '60', '42', '8', '3', '71'], ['bargoed rfc', '22', '0', '8', '538', '449', '72', '52', '10', '4', '70'], ['uwic rfc', '22', '2', '7', '554', '408', '71', '50', '6', '2', '64'], ['llanharan rfc', '22', '1', '12', '436', '442', '44', '51', '1', '7', '46'], ['newbridge rfc', '22', '2', '11', '355', '400', '36', '47', '2', '3', '45'], ['rumney rfc', '22', '2', '12', '435', '446', '56', '52', '5', '3', '44'], ['newport saracens rfc', '22', '0', '14', '344', '499', '45', '64', '2', '3', '37'], ['beddau rfc', '22', '0', '15', '310', '483', '32', '61', '2', '4', '34'], ['fleur de lys rfc', '22', '1', '16', '300', '617', '34', '77', '2', '4', '28'], ['llantrisant rfc', '22', '0', '18', '402', '592', '55', '77', '4', '6', '26']] |
desperate romantics | https://en.wikipedia.org/wiki/Desperate_Romantics | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-23705843-1.html.csv | superlative | the first episode of desperate romantics had the highest ratings of any episode . | {'scope': 'all', 'col_superlative': '5', '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', 'ratings ( millions )'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; ratings ( millions ) }'}, 'episode'], 'result': 'episode 1', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; ratings ( millions ) } ; episode }'}, 'episode 1'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { argmax { all_rows ; ratings ( millions ) } ; episode } ; episode 1 } = true', 'tointer': 'select the row whose ratings ( millions ) record of all rows is maximum . the episode record of this row is episode 1 .'} | eq { hop { argmax { all_rows ; ratings ( millions ) } ; episode } ; episode 1 } = true | select the row whose ratings ( millions ) record of all rows is maximum . the episode record of this row is episode 1 . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'ratings (millions)_5': 5, 'episode_6': 6, 'episode 1_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'ratings (millions)_5': 'ratings ( millions )', 'episode_6': 'episode', 'episode 1_7': 'episode 1'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'ratings (millions)_5': [0], 'episode_6': [1], 'episode 1_7': [2]} | ['episode', 'director', 'writer', 'original air date', 'ratings ( millions )'] | [['episode 1', 'paul gay', 'peter bowker', '21 july 2009', '2.61'], ['episode 2', 'paul gay', 'peter bowker', '28 july 2009', '2.13'], ['episode 3', 'paul gay', 'peter bowker', '4 august 2009', '2.15'], ['episode 4', 'diarmuid lawrence', 'peter bowker', '11 august 2009', '1.92'], ['episode 5', 'diarmuid lawrence', 'peter bowker', '18 august 2009', '1.96']] |
bayou country | https://en.wikipedia.org/wiki/Bayou_Country | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1122440-5.html.csv | superlative | bayou country 's latest release was done by the label fantasy records . | {'scope': 'all', 'col_superlative': '2', 'row_superlative': '13', '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', 'date'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; date }'}, 'label'], 'result': 'fantasy records', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; date } ; label }'}, 'fantasy records'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { argmax { all_rows ; date } ; label } ; fantasy records } = true', 'tointer': 'select the row whose date record of all rows is maximum . the label record of this row is fantasy records .'} | eq { hop { argmax { all_rows ; date } ; label } ; fantasy records } = true | select the row whose date record of all rows is maximum . the label record of this row is fantasy records . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'date_5': 5, 'label_6': 6, 'fantasy records_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'date_5': 'date', 'label_6': 'label', 'fantasy records_7': 'fantasy records'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'date_5': [0], 'label_6': [1], 'fantasy records_7': [2]} | ['region', 'date', 'label', 'format', 'catalog'] | [['north america', 'january 1969', 'fantasy records', 'lp', '8387'], ['united kingdom', 'july 1969', 'liberty records', 'lp', 'lbs 83261'], ['germany', '1969', 'bellaphon records', 'lp', 'blps 19002'], ['united kingdom', 'march 1973', 'fantasy records', 'lp', 'ft 507'], ['north america', '1983', 'fantasy records', 'lp', 'orc - 4513'], ['united kingdom', 'july 1984', 'fantasy records', 'lp', 'fas lp 5003'], ['united kingdom', 'july 1984', 'fantasy records', 'cassette', 'fas k 5003'], ['united kingdom', 'august 1987', 'fantasy records', 'lp', 'face 502'], ['united kingdom', 'august 1987', 'fantasy records', 'cassette', 'facc 502'], ['united kingdom', 'august 1987', 'fantasy records', 'cd', 'cdef 502'], ['north america', '1988', 'fantasy records', 'cassette', '54513'], ['north america', '1988', 'fantasy records', 'cd', 'fcd - 4513 - 2'], ['north america', 'june 10 , 2008', 'fantasy records', 'expanded cd', 'fan - 30877 - 02']] |
9 to 5 ( musical ) | https://en.wikipedia.org/wiki/9_to_5_%28musical%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14370868-2.html.csv | majority | most of the 9 to 5 ( musical ) nominees had a nominated result . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'nominated', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'result', 'nominated'], 'result': True, 'ind': 0, 'tointer': 'for the result records of all rows , most of them fuzzily match to nominated .', 'tostr': 'most_eq { all_rows ; result ; nominated } = true'} | most_eq { all_rows ; result ; nominated } = true | for the result records of all rows , most of them fuzzily match to nominated . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'result_3': 3, 'nominated_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'result_3': 'result', 'nominated_4': 'nominated'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'result_3': [0], 'nominated_4': [0]} | ['year', 'award ceremony', 'category', 'nominee', 'result'] | [['2008', 'la ovation award', 'best book / lyrics / music for an original musical', 'dolly parton and patricia resnick', 'nominated'], ['2008', 'la ovation award', 'lead actress in a musical', 'megan hilty', 'nominated'], ['2008', 'la ovation award', 'lead actress in a musical', 'allison janney', 'nominated'], ['2008', 'la ovation award', 'best scenic design - large theatre', 'scott pask', 'nominated'], ['2008', 'la ovation award', 'best costume design - large theatre', 'william ivey long', 'nominated'], ['2008', 'la ovation award', 'best lighting design - large theatre', 'jules fisher and peggy eisenhauer', 'nominated'], ['2008', 'la ovation award', 'best sound design - large theatre', 'john h shivers', 'nominated'], ['2008', 'los angeles drama critics circle award', 'best musical score', 'dolly parton', 'won'], ['2008', 'los angeles drama critics circle award', 'best choreography', 'andy blankenbuehler', 'won']] |
davíd garza pérez | https://en.wikipedia.org/wiki/Dav%C3%ADd_Garza_P%C3%A9rez | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15568742-1.html.csv | aggregation | davíd garza pérez average placement position was 14.33 in multiple series ' . | {'scope': 'all', 'col': '9', 'type': 'average', 'result': '14.33', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'pos'], 'result': '14.33', 'ind': 0, 'tostr': 'avg { all_rows ; pos }'}, '14.33'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; pos } ; 14.33 } = true', 'tointer': 'the average of the pos record of all rows is 14.33 .'} | round_eq { avg { all_rows ; pos } ; 14.33 } = true | the average of the pos record of all rows is 14.33 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'pos_4': 4, '14.33_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'pos_4': 'pos', '14.33_5': '14.33'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'pos_4': [0], '14.33_5': [1]} | ['season', 'series', 'team', 'races', 'wins', 'poles', 'fast laps', 'points', 'pos'] | [['2009', 'champ car atlantic', 'jensen motorsport', '2', '0', '0', '0', '8', '17th'], ['2008 - 09', 'a1 grand prix', 'a1 team mexico', '4', '0', '0', '0', '19', '13th ( 1 )'], ['2008', 'champ car atlantic', 'forsythe championship racing', '6', '0', '0', '0', '94', '13th'], ['2007 - 08', 'a1 grand prix', 'a1 team mexico', '10', '0', '0', '0', '5', '16th ( 1 )'], ['2007', 'champ car atlantic', 'us racetronics', '12', '0', '0', '0', '78', '17th'], ['2006', 'formula bmw usa', 'eurointernational', '14', '0', '2', '0', '42', '10th']] |
united states house of representatives elections , 1960 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1960 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1341897-23.html.csv | comparative | in winning election to their seats in the house of representatives william h bates achieved a higher percentage vote than harold donohue . | {'row_1': '4', 'row_2': '3', 'col': '6', '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', 'incumbent', 'william h bates'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose incumbent record fuzzily matches to william h bates .', 'tostr': 'filter_eq { all_rows ; incumbent ; william h bates }'}, 'candidates'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; incumbent ; william h bates } ; candidates }', 'tointer': 'select the rows whose incumbent record fuzzily matches to william h bates . take the candidates record of this row .'}, {'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'incumbent', 'harold donohue'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose incumbent record fuzzily matches to harold donohue .', 'tostr': 'filter_eq { all_rows ; incumbent ; harold donohue }'}, 'candidates'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; incumbent ; harold donohue } ; candidates }', 'tointer': 'select the rows whose incumbent record fuzzily matches to harold donohue . take the candidates record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'greater { hop { filter_eq { all_rows ; incumbent ; william h bates } ; candidates } ; hop { filter_eq { all_rows ; incumbent ; harold donohue } ; candidates } } = true', 'tointer': 'select the rows whose incumbent record fuzzily matches to william h bates . take the candidates record of this row . select the rows whose incumbent record fuzzily matches to harold donohue . take the candidates record of this row . the first record is greater than the second record .'} | greater { hop { filter_eq { all_rows ; incumbent ; william h bates } ; candidates } ; hop { filter_eq { all_rows ; incumbent ; harold donohue } ; candidates } } = true | select the rows whose incumbent record fuzzily matches to william h bates . take the candidates record of this row . select the rows whose incumbent record fuzzily matches to harold donohue . take the candidates 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, 'incumbent_7': 7, 'william h bates_8': 8, 'candidates_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'incumbent_11': 11, 'harold donohue_12': 12, 'candidates_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', 'incumbent_7': 'incumbent', 'william h bates_8': 'william h bates', 'candidates_9': 'candidates', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'incumbent_11': 'incumbent', 'harold donohue_12': 'harold donohue', 'candidates_13': 'candidates'} | {'greater_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'incumbent_7': [0], 'william h bates_8': [0], 'candidates_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'incumbent_11': [1], 'harold donohue_12': [1], 'candidates_13': [3]} | ['district', 'incumbent', 'party', 'first elected', 'result', 'candidates'] | [['massachusetts 2', 'edward boland', 'democratic', '1952', 're - elected', 'edward boland ( d ) unopposed'], ['massachusetts 3', 'philip philbin', 'democratic', '1942', 're - elected', 'philip philbin ( d ) unopposed'], ['massachusetts 4', 'harold donohue', 'democratic', '1946', 're - elected', 'harold donohue ( d ) 64.5 % robert n scola ( r ) 35.5 %'], ['massachusetts 6', 'william h bates', 'republican', '1950', 're - elected', 'william h bates ( r ) 65.9 % mary kennedy ( d ) 34.1 %'], ['massachusetts 7', 'thomas j lane', 'democratic', '1941', 're - elected', 'thomas j lane ( d ) unopposed'], ['massachusetts 11', "tip o'neill", 'democratic', '1952', 're - elected', "tip o'neill ( d ) unopposed"]] |
list of tallest buildings in saudi arabia | https://en.wikipedia.org/wiki/List_of_tallest_buildings_in_Saudi_Arabia | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11606138-2.html.csv | superlative | the kingdom tower has the most floors in saudi arabia . | {'scope': 'all', 'col_superlative': '5', 'row_superlative': '1', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '2', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'floors'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; floors }'}, 'name'], 'result': 'kingdom tower', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; floors } ; name }'}, 'kingdom tower'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { argmax { all_rows ; floors } ; name } ; kingdom tower } = true', 'tointer': 'select the row whose floors record of all rows is maximum . the name record of this row is kingdom tower .'} | eq { hop { argmax { all_rows ; floors } ; name } ; kingdom tower } = true | select the row whose floors record of all rows is maximum . the name record of this row is kingdom tower . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'floors_5': 5, 'name_6': 6, 'kingdom tower_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'floors_5': 'floors', 'name_6': 'name', 'kingdom tower_7': 'kingdom tower'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'floors_5': [0], 'name_6': [1], 'kingdom tower_7': [2]} | ['rank', 'name', 'city', 'height', 'floors'] | [['1', 'kingdom tower', 'jeddah', '-', '186'], ['2', 'diamond tower', 'jeddah', '-', '93'], ['3', 'capital market authority headquarters', 'riyadh', '-', '77'], ['4', 'lamar tower 1', 'jeddah', '-', '87'], ['5', 'burj rafal', 'riyadh', '-', '68'], ['6', 'kafd world trade centre', 'riyadh', '-', '67'], ['7', 'lamar tower 2', 'jeddah', '-', '84'], ['8', 'kempinski hotel', 'jeddah', '-', '69'], ['9', 'the headquarters', 'jeddah', '-', '52'], ['10', 'aqua tower', 'jeddah', '-', '59'], ['11', 'gcc bank headquarters', 'riyadh', '-', '53'], ['12', 'abraj al bait maqam tower', 'mecca', '-', '57'], ['13', 'abraj al bait qibla tower', 'mecca', '-', '57'], ['14', 'al majdoul tower', 'riyadh', '-', '54'], ['15', 'west tower at the hq business park', 'riyadh', '-', '54']] |
united states house of representatives elections , 1962 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1962 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1341884-12.html.csv | unique | in the '62 us house of representatives elections , the only incumbent representing georgia whom was not reelected was iris fairloth blitch . | {'scope': 'all', 'row': '7', 'col': '5', 'col_other': '2', 'criterion': 'not_equal', 'value': 're-elected', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_not_eq', 'args': ['all_rows', 'result', 're-elected'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose result record does not match to re-elected .', 'tostr': 'filter_not_eq { all_rows ; result ; re-elected }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_not_eq { all_rows ; result ; re-elected } }', 'tointer': 'select the rows whose result record does not match to re-elected . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_not_eq', 'args': ['all_rows', 'result', 're-elected'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose result record does not match to re-elected .', 'tostr': 'filter_not_eq { all_rows ; result ; re-elected }'}, 'incumbent'], 'result': 'iris faircloth blitch', 'ind': 2, 'tostr': 'hop { filter_not_eq { all_rows ; result ; re-elected } ; incumbent }'}, 'iris faircloth blitch'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_not_eq { all_rows ; result ; re-elected } ; incumbent } ; iris faircloth blitch }', 'tointer': 'the incumbent record of this unqiue row is iris faircloth blitch .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_not_eq { all_rows ; result ; re-elected } } ; eq { hop { filter_not_eq { all_rows ; result ; re-elected } ; incumbent } ; iris faircloth blitch } } = true', 'tointer': 'select the rows whose result record does not match to re-elected . there is only one such row in the table . the incumbent record of this unqiue row is iris faircloth blitch .'} | and { only { filter_not_eq { all_rows ; result ; re-elected } } ; eq { hop { filter_not_eq { all_rows ; result ; re-elected } ; incumbent } ; iris faircloth blitch } } = true | select the rows whose result record does not match to re-elected . there is only one such row in the table . the incumbent record of this unqiue row is iris faircloth blitch . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_not_eq_0': 0, 'all_rows_6': 6, 'result_7': 7, 're-elected_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'incumbent_9': 9, 'iris faircloth blitch_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_not_eq_0': 'filter_str_not_eq', 'all_rows_6': 'all_rows', 'result_7': 'result', 're-elected_8': 're-elected', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'incumbent_9': 'incumbent', 'iris faircloth blitch_10': 'iris faircloth blitch'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_not_eq_0': [1, 2], 'all_rows_6': [0], 'result_7': [0], 're-elected_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'incumbent_9': [2], 'iris faircloth blitch_10': [3]} | ['district', 'incumbent', 'party', 'first elected', 'result', 'candidates'] | [['georgia 1', 'george elliott hagan', 'democratic', '1960', 're - elected', 'george elliott hagan ( d ) unopposed'], ['georgia 2', 'j l pilcher', 'democratic', '1953', 're - elected', 'j l pilcher ( d ) unopposed'], ['georgia 3', 'tic forrester', 'democratic', '1950', 're - elected', 'tic forrester ( d ) unopposed'], ['georgia 4', 'john james flynt , jr', 'democratic', '1954', 're - elected', 'john james flynt , jr ( d ) unopposed'], ['georgia 6', 'carl vinson', 'democratic', '1914', 're - elected', 'carl vinson ( d ) unopposed'], ['georgia 7', 'john w davis', 'democratic', '1960', 're - elected', 'john w davis ( d ) 72.4 % e ralph ivey ( r ) 27.6 %'], ['georgia 8', 'iris faircloth blitch', 'democratic', '1954', 'retired democratic hold', 'j russell tuten ( d ) unopposed'], ['georgia 9', 'phillip m landrum', 'democratic', '1952', 're - elected', 'phillip m landrum ( d ) unopposed']] |
1953 masters tournament | https://en.wikipedia.org/wiki/1953_Masters_Tournament | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-13073611-4.html.csv | majority | all players which participated in the 1953 masters 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', 'money'] | [['1', 'ben hogan', 'united states', '70 + 69 + 66 + 69 = 274', '- 14', '4000'], ['2', 'ed oliver', 'united states', '69 + 73 + 67 + 70 = 279', '- 9', '2500'], ['3', 'lloyd mangrum', 'united states', '74 + 68 + 71 + 69 = 282', '- 6', '1700'], ['4', 'bob hamilton', 'united states', '71 + 69 + 70 + 73 = 283', '- 5', '1400'], ['t5', 'tommy bolt', 'united states', '71 + 75 + 68 + 71 = 285', '- 3', '900'], ['t5', 'chick harbert', 'united states', '68 + 73 + 70 + 74 = 285', '- 3', '900'], ['7', 'ted kroll', 'united states', '71 + 70 + 73 + 72 = 286', '- 2', '700'], ['8', 'jack burke , jr', 'united states', '78 + 69 + 69 + 71 = 287', '- 1', '650'], ['9', 'al besselink', 'united states', '69 + 75 + 70 + 74 = 288', 'e', '600'], ['t10', 'julius boros', 'united states', '73 + 71 + 75 + 70 = 289', '+ 1', '523'], ['t10', 'chandler harper', 'united states', '74 + 72 + 69 + 74 = 289', '+ 1', '523'], ['t10', 'fred hawkins', 'united states', '75 + 70 + 74 + 70 = 289', '+ 1', '523']] |
list of one - day cricket records for new zealand | https://en.wikipedia.org/wiki/List_of_one-day_cricket_records_for_New_Zealand | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-13322378-10.html.csv | count | four players of the list of one - day cricket records for new zealand , had an economy rate higher than 4.00 . | {'scope': 'all', 'criterion': 'greater_than', 'value': '4.0', 'result': '4', 'col': '6', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_greater', 'args': ['all_rows', 'economy rate', '4.0'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose economy rate record is greater than 4.0 .', 'tostr': 'filter_greater { all_rows ; economy rate ; 4.0 }'}], 'result': '4', 'ind': 1, 'tostr': 'count { filter_greater { all_rows ; economy rate ; 4.0 } }', 'tointer': 'select the rows whose economy rate record is greater than 4.0 . the number of such rows is 4 .'}, '4'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_greater { all_rows ; economy rate ; 4.0 } } ; 4 } = true', 'tointer': 'select the rows whose economy rate record is greater than 4.0 . the number of such rows is 4 .'} | eq { count { filter_greater { all_rows ; economy rate ; 4.0 } } ; 4 } = true | select the rows whose economy rate record is greater than 4.0 . the number of such rows is 4 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_greater_0': 0, 'all_rows_4': 4, 'economy rate_5': 5, '4.0_6': 6, '4_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_greater_0': 'filter_greater', 'all_rows_4': 'all_rows', 'economy rate_5': 'economy rate', '4.0_6': '4.0', '4_7': '4'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_greater_0': [1], 'all_rows_4': [0], 'economy rate_5': [0], '4.0_6': [0], '4_7': [2]} | ['', 'matches', 'runs', 'wickets', 'average', 'economy rate', 'best bowling', '4wi', '5wi'] | [['shane bond', '82', '3070', '147', '20.88', '4.28', '6 / 19', '7', '4'], ['richard hadlee', '115', '3407', '158', '21.56', '4.20', '5 / 25', '1', '5'], ['chris pringle', '64', '2459', '103', '23.87', '4.45', '5 / 45', '2', '1'], ['ewen chatfield', '114', '3618', '140', '25.84', '3.57', '5 / 34', '3', '1'], ['kyle mills', '129', '4998', '192', '26.03', '4.73', '5 / 25', '7', '1']] |
monica niculescu | https://en.wikipedia.org/wiki/Monica_Niculescu | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15272343-4.html.csv | count | monica niculescu has been the winner two times . | {'scope': 'all', 'criterion': 'equal', 'value': 'winner', 'result': '2', 'col': '1', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'outcome', 'winner'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose outcome record fuzzily matches to winner .', 'tostr': 'filter_eq { all_rows ; outcome ; winner }'}], 'result': '2', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; outcome ; winner } }', 'tointer': 'select the rows whose outcome record fuzzily matches to winner . the number of such rows is 2 .'}, '2'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; outcome ; winner } } ; 2 } = true', 'tointer': 'select the rows whose outcome record fuzzily matches to winner . the number of such rows is 2 .'} | eq { count { filter_eq { all_rows ; outcome ; winner } } ; 2 } = true | select the rows whose outcome record fuzzily matches to winner . 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, 'outcome_5': 5, 'winner_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', 'outcome_5': 'outcome', 'winner_6': 'winner', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'outcome_5': [0], 'winner_6': [0], '2_7': [2]} | ['outcome', 'date', 'surface', 'partner', 'opponents', 'score'] | [['runner - up', '17 august 2008', 'hard', 'sorana cîrstea', 'květa peschke lisa raymond', '6 - 4 , 5 - 7 ,'], ['winner', '12 july 2009', 'clay', 'alisa kleybanova', 'alona bondarenko kateryna bondarenko', '6 - 4 , 7 - 6 ( 7 - 5 )'], ['runner - up', '2 august 2009', 'hard', 'chan yung - jan', 'serena williams venus williams', '1 - 6 , 4 - 6'], ['runner - up', '16 january 2010', 'hard', 'chan yung - jan', 'květa peschke chuang chia - jung', '6 - 3 , 3 - 6 ,'], ['runner - up', '18 july 2010', 'clay', 'ágnes szávay', 'timea bacsinszky tathiana garbin', '5 - 7 , 6 - 7 ( 4 - 7 )'], ['runner - up', '23 july 2011', 'hard', 'galina voskoboeva', 'mariya koryttseva tatiana poutchek', '3 - 6 , 6 - 2 ,'], ['winner', '14 january 2012', 'hard', 'irina - camelia begu', 'chuang chia - jung marina erakovic', '6 - 7 ( 4 - 7 ) , 7 - 6 ( 7 - 4 ) ,'], ['runner - up', '22 september 2012', 'hard', 'jarmila gajdošová', 'tamarine tanasugarn zhang shuai', '6 - 2 , 2 - 6 ,'], ['runner - up', '21 october 2012', 'hard ( i )', 'irina - camelia begu', 'andrea hlaváčková lucie hradecká', '3 - 6 , 4 - 6'], ['runner - up', '22 june 2013', 'grass', 'klára zakopalová', 'nadia petrova katarina srebotnik', '3 - 6 , 3 - 6']] |
richmond spiders men 's basketball | https://en.wikipedia.org/wiki/Richmond_Spiders_men%27s_basketball | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10645911-2.html.csv | ordinal | david gonzalvez played the second most games for the richmond spiders . | {'row': '5', 'col': '4', 'order': '2', 'col_other': '2', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'games', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; games ; 2 }'}, 'player'], 'result': 'david gonzalvez', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; games ; 2 } ; player }'}, 'david gonzalvez'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { nth_argmax { all_rows ; games ; 2 } ; player } ; david gonzalvez } = true', 'tointer': 'select the row whose games record of all rows is 2nd maximum . the player record of this row is david gonzalvez .'} | eq { hop { nth_argmax { all_rows ; games ; 2 } ; player } ; david gonzalvez } = true | select the row whose games record of all rows is 2nd maximum . the player record of this row is david gonzalvez . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'games_5': 5, '2_6': 6, 'player_7': 7, 'david gonzalvez_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', 'games_5': 'games', '2_6': '2', 'player_7': 'player', 'david gonzalvez_8': 'david gonzalvez'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'games_5': [0], '2_6': [0], 'player_7': [1], 'david gonzalvez_8': [2]} | ['rank', 'player', 'years', 'games', 'ppg avg', 'total points'] | [['1', 'johnny newman', '1982 - 86', '122', '19.5', '2383'], ['2', 'kevin anderson', '2007 - 11', '139', '15.6', '2165'], ['3', 'mike perry', '1977 - 81', '108', '19.9', '2145'], ['4', 'ed harrison', '1952 - 56', '115', '16.0', '1843'], ['5', 'david gonzalvez', '2006 - 10', '131', '13.2', '1727'], ['6', 'john schweitz', '1978 - 82', '109', '15.8', '1723'], ['7', 'curtis blair', '1988 - 92', '125', '13.0', '1630'], ['8', 'peter woolfolk', '1984 - 88', '123', '13.0', '1604'], ['9', 'ken atkinson', '1986 - 90', '125', '12.4', '1549'], ['10', 'jarod stevenson', '1994 - 98', '111', '13.4', '1482']] |
list of doctor who audio plays by big finish | https://en.wikipedia.org/wiki/List_of_Doctor_Who_audio_plays_by_Big_Finish | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1620397-5.html.csv | majority | the majority of these dr. who audio plays by big finish were released in 2012 . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'fuzzily_match', 'value': '2012', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'released', '2012'], 'result': True, 'ind': 0, 'tointer': 'for the released records of all rows , most of them fuzzily match to 2012 .', 'tostr': 'most_eq { all_rows ; released ; 2012 } = true'} | most_eq { all_rows ; released ; 2012 } = true | for the released records of all rows , most of them fuzzily match to 2012 . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'released_3': 3, '2012_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'released_3': 'released', '2012_4': '2012'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'released_3': [0], '2012_4': [0]} | ['series sorted', 'title', 'doctor', 'featuring', 'released'] | [['6eb / a', 'the elite', '5th', 'tegan , nyssa , dalek', 'october 2011'], ['6eb / b', 'hexagora', '5th', 'tegan , nyssa', 'november 2011'], ['6eb / c', 'the children of seth', '5th', 'tegan , nyssa', 'december 2011'], ['6y / ai', 'the guardians of prophecy', '6th', 'peri', 'may 2012'], ['6y / aj', 'power play', '6th', 'peri , victoria', 'june 2012'], ['6y / ak', 'the first sontarans', '6th', 'peri , sontarans , rutans', 'july 2012'], ['h / c', 'the masters of luxor', '1st', 'susan foreman , ian chesterton , barbara wright', 'august 2012'], ['xx / a', 'the rosemariners', '2nd', 'jamie mccrimmon , zoe heriot', 'september 2012']] |
list of australian submissions for the academy award for best foreign language film | https://en.wikipedia.org/wiki/List_of_Australian_submissions_for_the_Academy_Award_for_Best_Foreign_Language_Film | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16254861-1.html.csv | ordinal | of australian submissions for the academy award for best foreign language film , the 2nd most recent submission was for lore . | {'row': '6', 'col': '1', 'order': '2', 'col_other': '2', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'year ( ceremony )', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; year ( ceremony ) ; 2 }'}, 'film title used in nomination'], 'result': 'lore', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; year ( ceremony ) ; 2 } ; film title used in nomination }'}, 'lore'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { nth_argmax { all_rows ; year ( ceremony ) ; 2 } ; film title used in nomination } ; lore } = true', 'tointer': 'select the row whose year ( ceremony ) record of all rows is 2nd maximum . the film title used in nomination record of this row is lore .'} | eq { hop { nth_argmax { all_rows ; year ( ceremony ) ; 2 } ; film title used in nomination } ; lore } = true | select the row whose year ( ceremony ) record of all rows is 2nd maximum . the film title used in nomination record of this row is lore . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'year (ceremony)_5': 5, '2_6': 6, 'film title used in nomination_7': 7, 'lore_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', 'year (ceremony)_5': 'year ( ceremony )', '2_6': '2', 'film title used in nomination_7': 'film title used in nomination', 'lore_8': 'lore'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'year (ceremony)_5': [0], '2_6': [0], 'film title used in nomination_7': [1], 'lore_8': [2]} | ['year ( ceremony )', 'film title used in nomination', 'language ( s )', 'director', 'result'] | [['1996 ( 69th )', 'floating life', 'cantonese , english , german', 'clara law', 'not nominated'], ['2001 ( 74th )', 'la spagnola', 'spanish , english , italian', 'steve jacobs', 'not nominated'], ['2006 ( 79th )', 'ten canoes', 'yolngu matha , gunwinggu , english', 'rolf de heer', 'not nominated'], ['2007 ( 80th )', 'the home song stories', 'cantonese , english , mandarin', 'tony ayres', 'not nominated'], ['2009 ( 82nd )', 'samson and delilah', 'warlpiri , english', 'warwick thornton', 'made january shortlist'], ['2012 ( 85th )', 'lore', 'german', 'cate shortland', 'not nominated'], ['2013 ( 86th )', 'the rocket', 'lao', 'kim mordaunt', 'tbd']] |
2007 - 08 football league trophy | https://en.wikipedia.org/wiki/2007%E2%80%9308_Football_League_Trophy | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12962079-4.html.csv | count | for the 2007-08 football league trophy , there were 2 occasions where the score was 0-1 . | {'scope': 'all', 'criterion': 'equal', 'value': '0 - 1', 'result': '2', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'score', '0 - 1'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose score record fuzzily matches to 0 - 1 .', 'tostr': 'filter_eq { all_rows ; score ; 0 - 1 }'}], 'result': '2', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; score ; 0 - 1 } }', 'tointer': 'select the rows whose score record fuzzily matches to 0 - 1 . the number of such rows is 2 .'}, '2'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; score ; 0 - 1 } } ; 2 } = true', 'tointer': 'select the rows whose score record fuzzily matches to 0 - 1 . the number of such rows is 2 .'} | eq { count { filter_eq { all_rows ; score ; 0 - 1 } } ; 2 } = true | select the rows whose score record fuzzily matches to 0 - 1 . 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, 'score_5': 5, '0 - 1_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', 'score_5': 'score', '0 - 1_6': '0 - 1', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'score_5': [0], '0 - 1_6': [0], '2_7': [2]} | ['tie no', 'home team', 'score', 'away team', 'attendance'] | [['1', 'hereford united', '0 - 0', 'yeovil town', '1859'], ['yeovil town won 4 - 2 on penalties', 'yeovil town won 4 - 2 on penalties', 'yeovil town won 4 - 2 on penalties', 'yeovil town won 4 - 2 on penalties', 'yeovil town won 4 - 2 on penalties'], ['2', 'bristol rovers', '0 - 1', 'bournemouth', '3313'], ['3', 'swindon town', '1 - 3', 'cheltenham town', '3765'], ['4', 'swansea city', '2 - 0', 'wycombe wanderers', '5922'], ['5', 'milton keynes dons', '3 - 1', 'peterborough united', '5087'], ['6', 'brighton & hove albion', '2 - 1', 'barnet', '1995'], ['7', 'leyton orient', '0 - 1', 'dagenham & redbridge', '2397'], ['8', 'gillingham', '4 - 3', 'luton town', '1417']] |
nhpc limited | https://en.wikipedia.org/wiki/NHPC_Limited | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18145877-2.html.csv | majority | most of the nhpc limited whose state is jammu & kashmir has a completion schedule in 2011 . | {'scope': 'subset', 'col': '5', 'most_or_all': 'most', 'criterion': 'equal', 'value': '2011', 'subset': {'col': '3', 'criterion': 'equal', 'value': 'jammu & kashmir'}} | {'func': 'most_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'state', 'jammu & kashmir'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; state ; jammu & kashmir }', 'tointer': 'select the rows whose state record fuzzily matches to jammu & kashmir .'}, 'completion schedule', '2011'], 'result': True, 'ind': 1, 'tointer': 'select the rows whose state record fuzzily matches to jammu & kashmir . for the completion schedule records of these rows , most of them are equal to 2011 .', 'tostr': 'most_eq { filter_eq { all_rows ; state ; jammu & kashmir } ; completion schedule ; 2011 } = true'} | most_eq { filter_eq { all_rows ; state ; jammu & kashmir } ; completion schedule ; 2011 } = true | select the rows whose state record fuzzily matches to jammu & kashmir . for the completion schedule records of these rows , most of them are equal to 2011 . | 2 | 2 | {'most_eq_1': 1, 'result_2': 2, 'filter_str_eq_0': 0, 'all_rows_3': 3, 'state_4': 4, 'jammu & kashmir_5': 5, 'completion schedule_6': 6, '2011_7': 7} | {'most_eq_1': 'most_eq', 'result_2': 'true', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_3': 'all_rows', 'state_4': 'state', 'jammu & kashmir_5': 'jammu & kashmir', 'completion schedule_6': 'completion schedule', '2011_7': '2011'} | {'most_eq_1': [2], 'result_2': [], 'filter_str_eq_0': [1], 'all_rows_3': [0], 'state_4': [0], 'jammu & kashmir_5': [0], 'completion schedule_6': [1], '2011_7': [1]} | ['sno', 'power plant', 'state', 'total capacity ( mw )', 'completion schedule'] | [['1', 'kishenganga', 'jammu & kashmir', '330', '2016'], ['2', 'parbati - ii', 'himachal pradesh', '800', '2013'], ['3', 'subansiri ( lower )', 'assam', '2000', '2014'], ['4', 'teesta low dam - iv', 'west bengal', '160', '2011'], ['5', 'parbati - iii', 'himachal pradesh', '520', '2012'], ['6', 'nimmo - bazgo', 'jammu & kashmir', '45', '2011'], ['7', 'chutak', 'jammu & kashmir', '44', '2011'], ['8', 'uri - ii', 'jammu & kashmir', '240', '2011']] |
steve vigneault | https://en.wikipedia.org/wiki/Steve_Vigneault | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17442303-2.html.csv | comparative | the fight that steve vigneault had against jason st. louis was shorter than the one against mike swick . | {'row_1': '3', 'row_2': '2', 'col': '7', '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', 'jason st louis'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose opponent record fuzzily matches to jason st louis .', 'tostr': 'filter_eq { all_rows ; opponent ; jason st louis }'}, 'time'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; opponent ; jason st louis } ; time }', 'tointer': 'select the rows whose opponent record fuzzily matches to jason st louis . take the time record of this row .'}, {'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'opponent', 'mike swick'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose opponent record fuzzily matches to mike swick .', 'tostr': 'filter_eq { all_rows ; opponent ; mike swick }'}, 'time'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; opponent ; mike swick } ; time }', 'tointer': 'select the rows whose opponent record fuzzily matches to mike swick . take the time record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'less { hop { filter_eq { all_rows ; opponent ; jason st louis } ; time } ; hop { filter_eq { all_rows ; opponent ; mike swick } ; time } } = true', 'tointer': 'select the rows whose opponent record fuzzily matches to jason st louis . take the time record of this row . select the rows whose opponent record fuzzily matches to mike swick . take the time record of this row . the first record is less than the second record .'} | less { hop { filter_eq { all_rows ; opponent ; jason st louis } ; time } ; hop { filter_eq { all_rows ; opponent ; mike swick } ; time } } = true | select the rows whose opponent record fuzzily matches to jason st louis . take the time record of this row . select the rows whose opponent record fuzzily matches to mike swick . take the time 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, 'jason st louis_8': 8, 'time_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'opponent_11': 11, 'mike swick_12': 12, 'time_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', 'jason st louis_8': 'jason st louis', 'time_9': 'time', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'opponent_11': 'opponent', 'mike swick_12': 'mike swick', 'time_13': 'time'} | {'less_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'opponent_7': [0], 'jason st louis_8': [0], 'time_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'opponent_11': [1], 'mike swick_12': [1], 'time_13': [3]} | ['res', 'record', 'opponent', 'method', 'event', 'round', 'time', 'location'] | [['win', '12 - 6', 'dan chambers', 'tko ( punches )', 'ringside mma - rivalry', '1', '4:03', 'quebec , canada'], ['loss', '11 - 6', 'mike swick', 'submission ( guillotine choke )', 'ufc 58', '1', '2:09', 'las vegas , nevada , united states'], ['win', '11 - 5', 'jason st louis', 'tko', 'tko 22 - lionheart', '2', '0:30', 'quebec , canada'], ['loss', '10 - 5', 'chris fontaine', 'tko ( knee )', 'tko 15 - unstoppable', '1', '1:14', 'quebec , canada'], ['loss', '10 - 4', 'patrick côté', 'ko', 'tko 14 - road warriors', '1', '1:08', 'quebec , canada'], ['win', '10 - 3', 'sean pierson', 'decision ( unanimous )', 'tko 13 - ultimate rush', '3', '5:00', 'montreal , quebec , canada'], ['win', '9 - 3', 'jermaine andre', 'decision ( unanimous )', 'ucc 12 - adrenaline', '3', '5:00', 'quebec , canada'], ['win', '8 - 3', 'jeromie sills', 'ko', 'ucc 10 - battle for the belts 2002', '2', '2:19', 'quebec , canada'], ['win', '7 - 3', 'jp cantin', 'submission ( punches )', 'ucc 8 - fast and furious', '1', '1:53', 'quebec , canada'], ['win', '6 - 3', 'mike kitchen', 'tko ( corner stoppage )', 'ucc 6 - redemption', '2', '4:38', 'montreal , quebec , canada'], ['win', '5 - 3', 'jason st louis', 'tko ( corner stoppage )', 'ucc 4 - return of the super strikers', '1', '10:00', 'quebec , canada'], ['win', '4 - 3', 'shawn peters', 'submission ( triangle choke )', 'ucc 3 - battle for the belts', '1', '0:32', 'quebec , canada'], ['loss', '3 - 3', 'david loiseau', 'tko ( corner stoppage )', 'ucc 2 - the moment of truth', '1', '10:00', 'montreal , quebec , canada'], ['win', '3 - 2', 'shawn tompkins', 'tko ( punches )', 'ucc 2 - the moment of truth', '1', '2:43', 'montreal , quebec , canada'], ['win', '2 - 2', 'jeff davis', 'tko ( punches )', 'ucc 1 - the new beginning', '1', '0:15', 'montreal , quebec , canada'], ['loss', '1 - 2', 'sean pierson', 'submission ( strikes )', 'ifc - battleground 2000', '1', '1:17', 'kahnawake , quebec , canada'], ['loss', '1 - 1', 'sean pierson', 'tko', 'ifc - montreal cage combat', '1', '1:07', 'quebec , canada'], ['win', '1 - 0', 'chris ellerton', 'tko', 'ifc - montreal cage combat', '1', '5:34', 'quebec , canada']] |
list of step by step episodes | https://en.wikipedia.org/wiki/List_of_Step_by_Step_episodes | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-2468961-8.html.csv | count | of the step by step episodes , patrick duffy was the director 8 times . | {'scope': 'all', 'criterion': 'equal', 'value': 'patrick duffy', 'result': '8', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'directed by', 'patrick duffy'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose directed by record fuzzily matches to patrick duffy .', 'tostr': 'filter_eq { all_rows ; directed by ; patrick duffy }'}], 'result': '8', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; directed by ; patrick duffy } }', 'tointer': 'select the rows whose directed by record fuzzily matches to patrick duffy . the number of such rows is 8 .'}, '8'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; directed by ; patrick duffy } } ; 8 } = true', 'tointer': 'select the rows whose directed by record fuzzily matches to patrick duffy . the number of such rows is 8 .'} | eq { count { filter_eq { all_rows ; directed by ; patrick duffy } } ; 8 } = true | select the rows whose directed by record fuzzily matches to patrick duffy . the number of such rows is 8 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'directed by_5': 5, 'patrick duffy_6': 6, '8_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'directed by_5': 'directed by', 'patrick duffy_6': 'patrick duffy', '8_7': '8'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'directed by_5': [0], 'patrick duffy_6': [0], '8_7': [2]} | ['no in series', 'no in season', 'title', 'directed by', 'written by', 'original air date', 'production code'] | [['142', '1', 'making the grade', 'patrick duffy', 'adam markowitz', 'september 19 , 1997', '466501'], ['143', '2', 'a star is born', 'patrick duffy', 'mindy schneider', 'september 26 , 1997', '466502'], ['144', '3', "your cheatin ' heart", 'richard correll', 'howard adler & robert griffard', 'october 3 , 1997', '466503'], ['145', '4', 'take this job and', 'patrick duffy', 'brain bird', 'october 10 , 1997', '466504'], ['146', '5', 'poetic justice', 'patrick duffy', 'fred rubin', 'october 17 , 1997', '466505'], ['147', '6', "ca n't buy me love", 'william bickley', 'robin j stein', 'october 24 , 1997', '466507'], ['148', '7', 'dream lover', 'joel zwick', 'adam markowitz', 'october 31 , 1997', '466506'], ['149', '8', 'girls just wan na have fun', 'patrick duffy', 'mindy schneider', 'november 7 , 1997', '466508'], ['150', '9', 'goodbye , mr chip', 'richard correll', 'howard adler & robert griffard', 'december 5 , 1997', '466509'], ['151', '10', 'too many santas', 'joel zwick', 'robin j stein', 'december 19 , 1997', '466512'], ['152', '11', 'phoney business', 'joel zwick', 'brian bird', 'january 9 , 1998', '466510'], ['153', '12', "goin ' to the chapel", 'joel zwick', 'fred rubin', 'january 16 , 1998', '466511'], ['154', '13', 'feet of clay', 'patrick duffy', 'garrett donovan & neil goldman', 'january 23 , 1998', '466514'], ['155', '14', 'pain in the class', 'patrick duffy', 'adam markowitz', 'january 30 , 1998', '466515'], ['156', '15', 'the half monty', 'joel zwick', 'liz sage', 'february 27 , 1998', '466513'], ['157', '16', 'and justice for some', 'patrick duffy', 'shelly landau', 'june 5 , 1998', '466519'], ['158', '17', 'the understudy', 'william bickley', 'larry kase & joel ronkin', 'june 12 , 1998', '466517'], ['159', '18', "we 're in the money", 'richard correll', 'brian bird', 'june 19 , 1998', '466516']] |
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 | unique | 2006 was the only year that andrew smith won the croatian international . | {'scope': 'all', 'row': '8', 'col': '2', 'col_other': '1', 'criterion': 'equal', 'value': 'andrew smith', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'mens singles', 'andrew smith'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose mens singles record fuzzily matches to andrew smith .', 'tostr': 'filter_eq { all_rows ; mens singles ; andrew smith }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; mens singles ; andrew smith } }', 'tointer': 'select the rows whose mens singles record fuzzily matches to andrew smith . there is only one such row in the table .'}, {'func': 'eq', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'mens singles', 'andrew smith'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose mens singles record fuzzily matches to andrew smith .', 'tostr': 'filter_eq { all_rows ; mens singles ; andrew smith }'}, 'year'], 'result': '2006', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; mens singles ; andrew smith } ; year }'}, '2006'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; mens singles ; andrew smith } ; year } ; 2006 }', 'tointer': 'the year record of this unqiue row is 2006 .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; mens singles ; andrew smith } } ; eq { hop { filter_eq { all_rows ; mens singles ; andrew smith } ; year } ; 2006 } } = true', 'tointer': 'select the rows whose mens singles record fuzzily matches to andrew smith . there is only one such row in the table . the year record of this unqiue row is 2006 .'} | and { only { filter_eq { all_rows ; mens singles ; andrew smith } } ; eq { hop { filter_eq { all_rows ; mens singles ; andrew smith } ; year } ; 2006 } } = true | select the rows whose mens singles record fuzzily matches to andrew smith . there is only one such row in the table . the year record of this unqiue row is 2006 . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'mens singles_7': 7, 'andrew smith_8': 8, 'eq_3': 3, 'num_hop_2': 2, 'year_9': 9, '2006_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'mens singles_7': 'mens singles', 'andrew smith_8': 'andrew smith', 'eq_3': 'eq', 'num_hop_2': 'num_hop', 'year_9': 'year', '2006_10': '2006'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'mens singles_7': [0], 'andrew smith_8': [0], 'eq_3': [4], 'num_hop_2': [3], 'year_9': [2], '2006_10': [3]} | ['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 pongratz', 'karina de wit', 'kristof hopp thomas tesche', 'erica van den heuvel nicole van hooren', 'peter steffensen lene mork'], ['2002', 'przemysław wacha', 'petya nedelcheva', 'vincent laigle svetoslav stoyanov', 'tammy jenkins rhona robertson', 'russel hogg kirsteen mcewan'], ['2003', 'hendra wijaya', 'pi hongyan', 'vincent laigle svetoslav stoyanov', 'miyuki tai yoshiko iwata', 'carsten mogensen kamilla rytter juhl'], ['2004', 'hidetaka yamada', 'li li', 'daniel glaser dennis von dahn', 'jiang yanmei li li', 'svetoslav stoyanov victoria wright'], ['2005', 'holvy de pauw', 'miyo akao', 'simon mollyhus anders kristiansen', 'frances liu fan shinta mulia sari', 'hendra wijaya frances liu fan'], ['2006', 'andrew smith', 'petya nedelcheva', 'chris tonks chris langridge', 'liza parker jenny day', 'chris langridge jenny day'], ['2007', 'carl baxter', 'guo xin', 'wouter claes frederic mawet', 'cai jiani guo xin', 'wouter claes nathalie descamps'], ['2008', 'ville lång', 'kaori imabeppu', 'rupesh kumar sanave thomas', 'maria thorberg kati tolmoff', 'baptiste careme laura choinet'], ['2009', 'peter mikkelsen', 'anita raj kaur', 'mads conrad - petersen mads pieler kolding', 'ezgi epice claudia vogelsang', 'zvonimir djurkinjak stasa poznanovic'], ['2010', 'ben beckman', 'nicole grether', 'joe morgan james phillips', 'nicole grether charmaine reid', 'zvonimir djurkinjak stasa poznanovic'], ['2011', 'dieter domke', 'minatsu mitani', 'kim astrup sorensen rasmus fladberg', 'sandra - maria jensen line kjaersfeldt', 'zvonimir djurkinjak stasa poznanovic']] |
great rivers athletic conference | https://en.wikipedia.org/wiki/Great_Rivers_Athletic_Conference | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-22319599-1.html.csv | count | two schools in the great rivers athletic conference include " blue " in the names of their teams . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'blue', 'result': '3', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'team name', 'blue'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose team name record fuzzily matches to blue .', 'tostr': 'filter_eq { all_rows ; team name ; blue }'}], 'result': '3', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; team name ; blue } }', 'tointer': 'select the rows whose team name record fuzzily matches to blue . the number of such rows is 3 .'}, '3'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; team name ; blue } } ; 3 } = true', 'tointer': 'select the rows whose team name record fuzzily matches to blue . the number of such rows is 3 .'} | eq { count { filter_eq { all_rows ; team name ; blue } } ; 3 } = true | select the rows whose team name record fuzzily matches to blue . 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, 'team name_5': 5, 'blue_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', 'team name_5': 'team name', 'blue_6': 'blue', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'team name_5': [0], 'blue_6': [0], '3_7': [2]} | ['school', 'location', 'team name', 'colors', 'varsity teams', 'njcaa championships'] | [['john a logan college', 'carterville , il 62918', 'vols', 'black & white', '7', '0'], ['kaskaskia college', 'centralia , il 62801', 'blue devils & blue angels', 'navy & white', '12', '0'], ['lake land college', 'mattoon , il 61938', 'lakers', 'red & black', '6', '0'], ['lincoln trail college', 'robinson , il 62454', 'statesmen', 'green , orange , & black', '5', '0'], ['olney central college', 'olney , il 62450', 'blue knights', 'navy & white', '4', '0'], ['rend lake college', 'ina , il 62846', 'warriors', 'red , black , & white', '17', '5'], ['southeastern illinois college', 'harrisburg , il 62946', 'falcons', 'blue & gold', '4', '0'], ['southwestern illinois college', 'belleville , il 62221', 'blue storm', 'blue , black , & white', '8', '0']] |
swimming at the 2007 world aquatics championships - men 's 200 metre freestyle | https://en.wikipedia.org/wiki/Swimming_at_the_2007_World_Aquatics_Championships_%E2%80%93_Men%27s_200_metre_freestyle | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10563642-4.html.csv | ordinal | pieter van den hoogenband had the 2nd fastest time in the men 's 200 metre freestyle at the 2007 world aquatics championships . | {'row': '2', 'col': '6', 'order': '2', 'col_other': '2', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'time', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; time ; 2 }'}, 'name'], 'result': 'pieter van den hoogenband', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; time ; 2 } ; name }'}, 'pieter van den hoogenband'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { nth_argmin { all_rows ; time ; 2 } ; name } ; pieter van den hoogenband } = true', 'tointer': 'select the row whose time record of all rows is 2nd minimum . the name record of this row is pieter van den hoogenband .'} | eq { hop { nth_argmin { all_rows ; time ; 2 } ; name } ; pieter van den hoogenband } = true | select the row whose time record of all rows is 2nd minimum . the name record of this row is pieter van den hoogenband . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'time_5': 5, '2_6': 6, 'name_7': 7, 'pieter van den hoogenband_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmin_0': 'nth_argmin', 'all_rows_4': 'all_rows', 'time_5': 'time', '2_6': '2', 'name_7': 'name', 'pieter van den hoogenband_8': 'pieter van den hoogenband'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'time_5': [0], '2_6': [0], 'name_7': [1], 'pieter van den hoogenband_8': [2]} | ['lane', 'name', 'nationality', '100 m', '150 m', 'time'] | [['5', 'michael phelps', 'united states', '51.00', '1:17.73', '1:43.86 wr'], ['4', 'pieter van den hoogenband', 'netherlands', '51.17', '1:18.16', '1:46.28'], ['2', 'park tae - hwan', 'south korea', '52.74', '1:19.51', '1:46.73'], ['6', 'kenrick monk', 'australia', '52.52', '1:19.88', '1:47.12'], ['3', 'massimiliano rosolino', 'italy', '52.02', '1:19.15', '1:47.18'], ['7', 'zhang lin', 'china', '53.22', '1:20.89', '1:47.53'], ['1', 'paul biedermann', 'germany', '53.17', '1:20.60', '1:48.09'], ['8', 'nicola cassio', 'italy', '53.37', '1:21.00', '1:49.13']] |
fiba oceania championship for women | https://en.wikipedia.org/wiki/FIBA_Oceania_Championship_for_Women | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-13150131-4.html.csv | unique | in the fiba oceania championship for women the holder of rank 5 was the only one to win 4 bronze medals . | {'scope': 'all', 'row': '4', 'col': '4', 'col_other': '1', 'criterion': 'equal', 'value': '4', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'bronze', '4'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose bronze record is equal to 4 .', 'tostr': 'filter_eq { all_rows ; bronze ; 4 }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; bronze ; 4 } }', 'tointer': 'select the rows whose bronze record is equal to 4 . there is only one such row in the table .'}, {'func': 'eq', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'bronze', '4'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose bronze record is equal to 4 .', 'tostr': 'filter_eq { all_rows ; bronze ; 4 }'}, 'rank'], 'result': '5', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; bronze ; 4 } ; rank }'}, '5'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; bronze ; 4 } ; rank } ; 5 }', 'tointer': 'the rank record of this unqiue row is 5 .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; bronze ; 4 } } ; eq { hop { filter_eq { all_rows ; bronze ; 4 } ; rank } ; 5 } } = true', 'tointer': 'select the rows whose bronze record is equal to 4 . there is only one such row in the table . the rank record of this unqiue row is 5 .'} | and { only { filter_eq { all_rows ; bronze ; 4 } } ; eq { hop { filter_eq { all_rows ; bronze ; 4 } ; rank } ; 5 } } = true | select the rows whose bronze record is equal to 4 . there is only one such row in the table . the rank record of this unqiue row is 5 . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_eq_0': 0, 'all_rows_6': 6, 'bronze_7': 7, '4_8': 8, 'eq_3': 3, 'num_hop_2': 2, 'rank_9': 9, '5_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_eq_0': 'filter_eq', 'all_rows_6': 'all_rows', 'bronze_7': 'bronze', '4_8': '4', 'eq_3': 'eq', 'num_hop_2': 'num_hop', 'rank_9': 'rank', '5_10': '5'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_eq_0': [1, 2], 'all_rows_6': [0], 'bronze_7': [0], '4_8': [0], 'eq_3': [4], 'num_hop_2': [3], 'rank_9': [2], '5_10': [3]} | ['rank', 'gold', 'silver', 'bronze', 'total'] | [['1', '3', '0', '0', '3'], ['2', '1', '3', '1', '5'], ['3', '1', '0', '0', '1'], ['5', '0', '2', '4', '6'], ['6', '0', '1', '1', '2']] |
list of multiple barrel firearms | https://en.wikipedia.org/wiki/List_of_multiple_barrel_firearms | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-29474407-11.html.csv | ordinal | of the multiple barrel firearms , the one with the 2nd earliest introduction year was the onorati smg . | {'row': '6', 'col': '2', 'order': '2', 'col_other': '1', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'year of intro', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; year of intro ; 2 }'}, 'name / designation'], 'result': 'onorati smg', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; year of intro ; 2 } ; name / designation }'}, 'onorati smg'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { nth_argmin { all_rows ; year of intro ; 2 } ; name / designation } ; onorati smg } = true', 'tointer': 'select the row whose year of intro record of all rows is 2nd minimum . the name / designation record of this row is onorati smg .'} | eq { hop { nth_argmin { all_rows ; year of intro ; 2 } ; name / designation } ; onorati smg } = true | select the row whose year of intro record of all rows is 2nd minimum . the name / designation record of this row is onorati smg . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'year of intro_5': 5, '2_6': 6, 'name / designation_7': 7, 'onorati smg_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmin_0': 'nth_argmin', 'all_rows_4': 'all_rows', 'year of intro_5': 'year of intro', '2_6': '2', 'name / designation_7': 'name / designation', 'onorati smg_8': 'onorati smg'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'year of intro_5': [0], '2_6': [0], 'name / designation_7': [1], 'onorati smg_8': [2]} | ['name / designation', 'year of intro', 'country of origin', 'primary cartridge', 'major users'] | [['csmg', '2000', 'belgium', '9x19 mm parabellum 22 mm grenade', 'n / a'], ['flieger - doppelpistole 1919', '1919', 'switzerland', '7.65 x21 mm parabellum', 'n / a'], ['gordon close - support weapon system', '1972', 'australia', '9x19 mm parabellum', 'n / a'], ['itm model 4', '1990', 'united states', '9x19 mm parabellum', 'n / a'], ['neal submachine gun', '1948', 'united states', '22lr', 'n / a'], ['onorati smg', '1935', 'italy', '9x19 mm parabellum', 'n / a'], ['saturn machine pistol', '1985', 'colombia', '22lr', 'n / a'], ['serlea', '1990', 'lebanon', '9x19 mm parabellum', 'n / a']] |
1933 vfl season | https://en.wikipedia.org/wiki/1933_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10790397-10.html.csv | majority | the majority of the away teams during the 1933 vfl season scored more than 10 points . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'greater_than', 'value': '10', 'subset': None} | {'func': 'most_greater', 'args': ['all_rows', 'away team score', '10'], 'result': True, 'ind': 0, 'tointer': 'for the away team score records of all rows , most of them are greater than 10 .', 'tostr': 'most_greater { all_rows ; away team score ; 10 } = true'} | most_greater { all_rows ; away team score ; 10 } = true | for the away team score records of all rows , most of them are greater than 10 . | 1 | 1 | {'most_greater_0': 0, 'result_1': 1, 'all_rows_2': 2, 'away team score_3': 3, '10_4': 4} | {'most_greater_0': 'most_greater', 'result_1': 'true', 'all_rows_2': 'all_rows', 'away team score_3': 'away team score', '10_4': '10'} | {'most_greater_0': [1], 'result_1': [], 'all_rows_2': [0], 'away team score_3': [0], '10_4': [0]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['richmond', '16.14 ( 110 )', 'st kilda', '8.8 ( 56 )', 'punt road oval', '13000', '1 july 1933'], ['essendon', '9.21 ( 75 )', 'north melbourne', '15.18 ( 108 )', 'windy hill', '11000', '1 july 1933'], ['south melbourne', '13.10 ( 88 )', 'melbourne', '12.9 ( 81 )', 'lake oval', '10000', '1 july 1933'], ['geelong', '11.16 ( 82 )', 'footscray', '7.15 ( 57 )', 'corio oval', '15000', '1 july 1933'], ['hawthorn', '5.14 ( 44 )', 'collingwood', '15.6 ( 96 )', 'glenferrie oval', '10000', '1 july 1933'], ['fitzroy', '5.19 ( 49 )', 'carlton', '13.14 ( 92 )', 'brunswick street oval', '33000', '1 july 1933']] |
carlos andino | https://en.wikipedia.org/wiki/Carlos_Andino | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16055831-1.html.csv | comparative | carlos andino 's fight against manny morales went more rounds than his fight against alberto rodriguez . | {'row_1': '6', 'row_2': '5', 'col': '6', 'col_other': '3', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'opponent', 'manny morales'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose opponent record fuzzily matches to manny morales .', 'tostr': 'filter_eq { all_rows ; opponent ; manny morales }'}, 'round'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; opponent ; manny morales } ; round }', 'tointer': 'select the rows whose opponent record fuzzily matches to manny morales . take the round record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'opponent', 'alberto rodriguez'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose opponent record fuzzily matches to alberto rodriguez .', 'tostr': 'filter_eq { all_rows ; opponent ; alberto rodriguez }'}, 'round'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; opponent ; alberto rodriguez } ; round }', 'tointer': 'select the rows whose opponent record fuzzily matches to alberto rodriguez . take the round record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'greater { hop { filter_eq { all_rows ; opponent ; manny morales } ; round } ; hop { filter_eq { all_rows ; opponent ; alberto rodriguez } ; round } } = true', 'tointer': 'select the rows whose opponent record fuzzily matches to manny morales . take the round record of this row . select the rows whose opponent record fuzzily matches to alberto rodriguez . take the round record of this row . the first record is greater than the second record .'} | greater { hop { filter_eq { all_rows ; opponent ; manny morales } ; round } ; hop { filter_eq { all_rows ; opponent ; alberto rodriguez } ; round } } = true | select the rows whose opponent record fuzzily matches to manny morales . take the round record of this row . select the rows whose opponent record fuzzily matches to alberto rodriguez . take the round 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, 'opponent_7': 7, 'manny morales_8': 8, 'round_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'opponent_11': 11, 'alberto rodriguez_12': 12, 'round_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', 'opponent_7': 'opponent', 'manny morales_8': 'manny morales', 'round_9': 'round', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'opponent_11': 'opponent', 'alberto rodriguez_12': 'alberto rodriguez', 'round_13': 'round'} | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'opponent_7': [0], 'manny morales_8': [0], 'round_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'opponent_11': [1], 'alberto rodriguez_12': [1], 'round_13': [3]} | ['result', 'record', 'opponent', 'method', 'date', 'round', 'notes'] | [['win', '1 - 0 - 0', 'tony swamp rat santaigo', 'knockout', '1980 dec 31', '1', 'kickboxing'], ['win', '2 - 0 - 0', 'tony swamp rat santaigo', 'knockout', '1981', '1', 'kickboxing'], ['win', '3 - 0 - 0', 'tony swamp rat santaigo', 'knockout', '1981', '1', 'kickboxing'], ['win', '4 - 0 - 0', 'tony swamp rat santiago', 'knockout', '1981', '1', 'kickboxing'], ['win', '5 - 0 - 0', 'alberto rodriguez', 'knockout', '1982', '1', 'kickboxing'], ['win', '6 - 0 - 0', 'manny morales', 'knockout', '1987', '2', 'kickboxing'], ['win', '7 - 0 - 0', 'sherman bergman', 'knockout', '1989 may 7', '2', 'kickboxing'], ['loss', '7 - 1 - 0', 'sherman bergman', 'knockout', '1990', '1', 'kickboxing'], ['loss', '7 - 2 - 0', 'sherman bergman', 'knockout', '20 may 1990', '1', 'kickboxing'], ['loss', '7 - 3 - 0', 'sherman bergman', 'knockout', '15 july 1990', '1', 'kickboxing']] |
1968 vfl season | https://en.wikipedia.org/wiki/1968_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10808933-16.html.csv | count | in the 1968 vfl season , when the away team 's score was over 10 , there were 2 times when the crowd was over 20,000 . | {'scope': 'subset', 'criterion': 'greater_than', 'value': '20,000', 'result': '2', 'col': '6', 'subset': {'col': '4', 'criterion': 'greater_than', 'value': '10'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_greater', 'args': [{'func': 'filter_greater', 'args': ['all_rows', 'away team score', '10'], 'result': None, 'ind': 0, 'tostr': 'filter_greater { all_rows ; away team score ; 10 }', 'tointer': 'select the rows whose away team score record is greater than 10 .'}, 'crowd', '20,000'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose away team score record is greater than 10 . among these rows , select the rows whose crowd record is greater than 20,000 .', 'tostr': 'filter_greater { filter_greater { all_rows ; away team score ; 10 } ; crowd ; 20,000 }'}], 'result': '2', 'ind': 2, 'tostr': 'count { filter_greater { filter_greater { all_rows ; away team score ; 10 } ; crowd ; 20,000 } }', 'tointer': 'select the rows whose away team score record is greater than 10 . among these rows , select the rows whose crowd record is greater than 20,000 . the number of such rows is 2 .'}, '2'], 'result': True, 'ind': 3, 'tostr': 'eq { count { filter_greater { filter_greater { all_rows ; away team score ; 10 } ; crowd ; 20,000 } } ; 2 } = true', 'tointer': 'select the rows whose away team score record is greater than 10 . among these rows , select the rows whose crowd record is greater than 20,000 . the number of such rows is 2 .'} | eq { count { filter_greater { filter_greater { all_rows ; away team score ; 10 } ; crowd ; 20,000 } } ; 2 } = true | select the rows whose away team score record is greater than 10 . among these rows , select the rows whose crowd record is greater than 20,000 . the number of such rows is 2 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'count_2': 2, 'filter_greater_1': 1, 'filter_greater_0': 0, 'all_rows_5': 5, 'away team score_6': 6, '10_7': 7, 'crowd_8': 8, '20,000_9': 9, '2_10': 10} | {'eq_3': 'eq', 'result_4': 'true', 'count_2': 'count', 'filter_greater_1': 'filter_greater', 'filter_greater_0': 'filter_greater', 'all_rows_5': 'all_rows', 'away team score_6': 'away team score', '10_7': '10', 'crowd_8': 'crowd', '20,000_9': '20,000', '2_10': '2'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_greater_1': [2], 'filter_greater_0': [1], 'all_rows_5': [0], 'away team score_6': [0], '10_7': [0], 'crowd_8': [1], '20,000_9': [1], '2_10': [3]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['richmond', '15.21 ( 111 )', 'south melbourne', '10.11 ( 71 )', 'mcg', '22404', '3 august 1968'], ['geelong', '11.9 ( 75 )', 'melbourne', '10.8 ( 68 )', 'kardinia park', '14240', '3 august 1968'], ['st kilda', '8.13 ( 61 )', 'north melbourne', '6.3 ( 39 )', 'moorabbin oval', '13355', '3 august 1968'], ['fitzroy', '13.15 ( 93 )', 'essendon', '13.16 ( 94 )', 'princes park', '12080', '3 august 1968'], ['hawthorn', '15.11 ( 101 )', 'collingwood', '10.16 ( 76 )', 'glenferrie oval', '26928', '3 august 1968'], ['footscray', '16.6 ( 102 )', 'carlton', '10.10 ( 70 )', 'western oval', '15184', '3 august 1968']] |
2007 u.s. women 's open golf championship | https://en.wikipedia.org/wiki/2007_U.S._Women%27s_Open_Golf_Championship | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18369370-2.html.csv | count | in the 2007 u.s. women 's open golf championship , two players from united states had totals above 150 . | {'scope': 'subset', 'criterion': 'greater_than', 'value': '150', 'result': '2', 'col': '4', 'subset': {'col': '2', 'criterion': 'equal', 'value': 'united states'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_greater', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'country', 'united states'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; country ; united states }', 'tointer': 'select the rows whose country record fuzzily matches to united states .'}, 'total', '150'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose country record fuzzily matches to united states . among these rows , select the rows whose total record is greater than 150 .', 'tostr': 'filter_greater { filter_eq { all_rows ; country ; united states } ; total ; 150 }'}], 'result': '2', 'ind': 2, 'tostr': 'count { filter_greater { filter_eq { all_rows ; country ; united states } ; total ; 150 } }', 'tointer': 'select the rows whose country record fuzzily matches to united states . among these rows , select the rows whose total record is greater than 150 . the number of such rows is 2 .'}, '2'], 'result': True, 'ind': 3, 'tostr': 'eq { count { filter_greater { filter_eq { all_rows ; country ; united states } ; total ; 150 } } ; 2 } = true', 'tointer': 'select the rows whose country record fuzzily matches to united states . among these rows , select the rows whose total record is greater than 150 . the number of such rows is 2 .'} | eq { count { filter_greater { filter_eq { all_rows ; country ; united states } ; total ; 150 } } ; 2 } = true | select the rows whose country record fuzzily matches to united states . among these rows , select the rows whose total record is greater than 150 . the number of such rows is 2 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'count_2': 2, 'filter_greater_1': 1, 'filter_str_eq_0': 0, 'all_rows_5': 5, 'country_6': 6, 'united states_7': 7, 'total_8': 8, '150_9': 9, '2_10': 10} | {'eq_3': 'eq', 'result_4': 'true', 'count_2': 'count', 'filter_greater_1': 'filter_greater', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_5': 'all_rows', 'country_6': 'country', 'united states_7': 'united states', 'total_8': 'total', '150_9': '150', '2_10': '2'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_greater_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'country_6': [0], 'united states_7': [0], 'total_8': [1], '150_9': [1], '2_10': [3]} | ['player', 'country', 'year ( s ) won', 'total', 'to par'] | [['juli inkster', 'united states', '1999 , 2002', '149', '+ 7'], ['liselotte neumann', 'sweden', '1988', '150', '+ 8'], ['karrie webb', 'australia', '2000 , 2001', '154', '+ 12'], ['meg mallon', 'united states', '1991 , 2004', '157', '+ 15'], ['hilary lunke', 'united states', '2003', '160', '+ 18']] |
swimming at the 2007 world aquatics championships - men 's 50 metre butterfly | https://en.wikipedia.org/wiki/Swimming_at_the_2007_World_Aquatics_Championships_%E2%80%93_Men%27s_50_metre_butterfly | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10289926-22.html.csv | aggregation | for men 's 50 metre butterfly at the 2007 world aquatics championship the swimmers from south africa had an average overall rank of 8.5 . | {'scope': 'subset', 'col': '6', 'type': 'average', 'result': '8.5', 'subset': {'col': '4', 'criterion': 'equal', 'value': 'south africa'}} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'country', 'south africa'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; country ; south africa }', 'tointer': 'select the rows whose country record fuzzily matches to south africa .'}, 'overall rank'], 'result': '8.5', 'ind': 1, 'tostr': 'avg { filter_eq { all_rows ; country ; south africa } ; overall rank }'}, '8.5'], 'result': True, 'ind': 2, 'tostr': 'round_eq { avg { filter_eq { all_rows ; country ; south africa } ; overall rank } ; 8.5 } = true', 'tointer': 'select the rows whose country record fuzzily matches to south africa . the average of the overall rank record of these rows is 8.5 .'} | round_eq { avg { filter_eq { all_rows ; country ; south africa } ; overall rank } ; 8.5 } = true | select the rows whose country record fuzzily matches to south africa . the average of the overall rank record of these rows is 8.5 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'avg_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'country_5': 5, 'south africa_6': 6, 'overall rank_7': 7, '8.5_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'avg_1': 'avg', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'country_5': 'country', 'south africa_6': 'south africa', 'overall rank_7': 'overall rank', '8.5_8': '8.5'} | {'eq_2': [3], 'result_3': [], 'avg_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'country_5': [0], 'south africa_6': [0], 'overall rank_7': [1], '8.5_8': [2]} | ['heat rank', 'lane', 'swimmer', 'country', 'time', 'overall rank'] | [['1', '4', 'roland schoeman', 'south africa', '23.49', '2'], ['2', '1', 'lars frölander', 'sweden', '23.66', '4'], ['3', '7', 'jakob andkjær', 'denmark', '23.92', '7'], ['4', '3', 'frédérick bousquet', 'france', '24.00', '11'], ['5', '6', 'lyndon ferns', 'south africa', '24.05', '15'], ['6', '7', 'jernej godec', 'slovenia', '24.06', 't16'], ['7', '2', 'corney swanepoel', 'new zealand', '24.20', '20'], ['8', '8', 'benjamin starke', 'germany', '24.25', '23']] |
1996 senior pga tour | https://en.wikipedia.org/wiki/1996_Senior_PGA_Tour | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11621873-3.html.csv | aggregation | the top-ranked players in the 1996 senior pga tour had an average of three wins apiece . | {'scope': 'all', 'col': '6', 'type': 'average', 'result': '3', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'wins'], 'result': '3', 'ind': 0, 'tostr': 'avg { all_rows ; wins }'}, '3'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; wins } ; 3 } = true', 'tointer': 'the average of the wins record of all rows is 3 .'} | round_eq { avg { all_rows ; wins } ; 3 } = true | the average of the wins record of all rows is 3 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'wins_4': 4, '3_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'wins_4': 'wins', '3_5': '3'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'wins_4': [0], '3_5': [1]} | ['rank', 'player', 'country', 'earnings', 'events', 'wins'] | [['1', 'jim colbert', 'united states', '1627890', '32', '5'], ['2', 'hale irwin', 'united states', '1615769', '23', '2'], ['3', 'john bland', 'south africa', '1357987', '35', '4'], ['4', 'isao aoki', 'japan', '1162581', '26', '2'], ['5', 'dave stockton', 'united states', '1117685', '29', '2']] |
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 | superlative | the christian democratic union had the most party list votes in the 2004 hamburg state election . | {'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', 'party list votes'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; party list votes }'}, 'party'], 'result': 'christian democratic union ( cdu )', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; party list votes } ; party }'}, 'christian democratic union ( cdu )'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { argmax { all_rows ; party list votes } ; party } ; christian democratic union ( cdu ) } = true', 'tointer': 'select the row whose party list votes record of all rows is maximum . the party record of this row is christian democratic union ( cdu ) .'} | eq { hop { argmax { all_rows ; party list votes } ; party } ; christian democratic union ( cdu ) } = true | select the row whose party list votes record of all rows is maximum . the party record of this row is christian democratic union ( cdu ) . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'party list votes_5': 5, 'party_6': 6, 'christian democratic union (cdu)_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'party list votes_5': 'party list votes', 'party_6': 'party', 'christian democratic union (cdu)_7': 'christian democratic union ( cdu )'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'party list votes_5': [0], 'party_6': [1], 'christian democratic union (cdu)_7': [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 )', '25763', '3.1 % ( + 2.9 )', '0 ( + 0 )', '0.0 %'], ['free democratic party ( fdp )', '23373', '2.8 % ( - 2.2 )', '0 ( - 6 )', '0.0 %'], ['rainbow - for a new left ( regenbogen )', '9221', '1.1 % ( - 0.6 )', '0 ( + 0 )', '0.0 %'], ['grey panthers party of germany ( graue )', '8862', '1.1 % ( + 0.8 )', '0 ( + 0 )', '0.0 %'], ['law and order offensive party ( offensive )', '3041', '0.4 % ( - 19.1 )', '0 ( - 25 )', '0.0 %'], ['all others', '12030', '1.5 % ( - 0.5 )', '0', '0.0 %'], ['totals', '824128', '100.0 %', '121', '100.0 %']] |
1987 denver broncos season | https://en.wikipedia.org/wiki/1987_Denver_Broncos_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16727837-1.html.csv | superlative | in the 1987 denver broncos season , the earliest game that the broncos won was on september 13th . | {'scope': 'subset', 'col_superlative': '2', 'row_superlative': '1', 'value_mentioned': 'yes', 'max_or_min': 'min', 'other_col': '4', 'subset': {'col': '4', 'criterion': 'fuzzily_match', 'value': 'w'}} | {'func': 'eq', 'args': [{'func': 'min', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'result', 'w'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; result ; w }', 'tointer': 'select the rows whose result record fuzzily matches to w .'}, 'date'], 'result': 'september 13', 'ind': 1, 'tostr': 'min { filter_eq { all_rows ; result ; w } ; date }', 'tointer': 'select the rows whose result record fuzzily matches to w . the minimum date record of these rows is september 13 .'}, 'september 13'], 'result': True, 'ind': 2, 'tostr': 'eq { min { filter_eq { all_rows ; result ; w } ; date } ; september 13 } = true', 'tointer': 'select the rows whose result record fuzzily matches to w . the minimum date record of these rows is september 13 .'} | eq { min { filter_eq { all_rows ; result ; w } ; date } ; september 13 } = true | select the rows whose result record fuzzily matches to w . the minimum date record of these rows is september 13 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'min_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'result_5': 5, 'w_6': 6, 'date_7': 7, 'september 13_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'min_1': 'min', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'result_5': 'result', 'w_6': 'w', 'date_7': 'date', 'september 13_8': 'september 13'} | {'eq_2': [3], 'result_3': [], 'min_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'result_5': [0], 'w_6': [0], 'date_7': [1], 'september 13_8': [2]} | ['week', 'date', 'opponent', 'result', 'game site', 'record'] | [['1', 'september 13', 'seattle seahawks', 'w 40 - 17', 'mile high stadium', '1 - 0'], ['2', 'september 20', 'green bay packers', 't 17 - 17 ( ot )', 'milwaukee county stadium', '1 - 0 - 1'], ['-', 'september 28', 'cleveland browns', 'canceled', 'cleveland stadium', '1 - 0 - 1'], ['4', 'october 4', 'houston oilers', 'l 10 - 40', 'mile high stadium', '1 - 1 - 1'], ['5', 'october 12', 'los angeles raiders', 'w 30 - 14', 'mile high stadium', '2 - 1 - 1'], ['6', 'october 18', 'kansas city chiefs', 'w 26 - 17', 'arrowhead stadium', '3 - 1 - 1'], ['7', 'october 26', 'minnesota vikings', 'l 27 - 34', 'hubert h humphrey metrodome', '3 - 2 - 1'], ['8', 'november 1', 'detroit lions', 'w 34 - 0', 'mile high stadium', '4 - 2 - 1'], ['9', 'november 8', 'buffalo bills', 'l 14 - 21', 'rich stadium', '4 - 3 - 1'], ['10', 'november 16', 'chicago bears', 'w 31 - 29', 'mile high stadium', '5 - 3 - 1'], ['11', 'november 22', 'los angeles raiders', 'w 23 - 17', 'los angeles memorial coliseum', '6 - 3 - 1'], ['12', 'november 29', 'san diego chargers', 'w 31 - 17', 'jack murphy stadium', '7 - 3 - 1'], ['13', 'december 6', 'new england patriots', 'w 31 - 20', 'mile high stadium', '8 - 3 - 1'], ['14', 'december 13', 'seattle seahawks', 'l 21 - 28', 'kingdome', '8 - 4 - 1'], ['15', 'december 19', 'kansas city chiefs', 'w 20 - 17', 'mile high stadium', '9 - 4 - 1'], ['16', 'december 27', 'san diego chargers', 'w 24 - 0', 'mile high stadium', '10 - 4 - 1']] |
2000 indianapolis colts season | https://en.wikipedia.org/wiki/2000_Indianapolis_Colts_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14908721-2.html.csv | majority | most of the games in the 2000 indianapolis colts season were broadcast by cbs . | {'scope': 'all', 'col': '7', 'most_or_all': 'most', 'criterion': 'fuzzily_match', 'value': 'cbs', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'tv time', 'cbs'], 'result': True, 'ind': 0, 'tointer': 'for the tv time records of all rows , most of them fuzzily match to cbs .', 'tostr': 'most_eq { all_rows ; tv time ; cbs } = true'} | most_eq { all_rows ; tv time ; cbs } = true | for the tv time records of all rows , most of them fuzzily match to cbs . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'tv time_3': 3, 'cbs_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'tv time_3': 'tv time', 'cbs_4': 'cbs'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'tv time_3': [0], 'cbs_4': [0]} | ['week', 'date', 'opponent', 'result', 'record', 'game site', 'tv time', 'attendance'] | [['1', 'september 3 , 2000', 'kansas city chiefs', 'w 27 - 14', '1 - 0', 'arrowhead stadium', 'cbs 1:00 pm', '78357'], ['2', 'september 10 , 2000', 'oakland raiders', 'l 31 - 38', '1 - 1', 'rca dome', 'cbs 1:00 pm', '56769'], ['3', '-', '-', '-', '-', '-', '-', ''], ['4', 'september 25 , 2000', 'jacksonville jaguars', 'w 43 - 14', '2 - 1', 'rca dome', 'abc 9:00 pm', '56816'], ['5', 'october 1 , 2000', 'buffalo bills', 'w 18 - 16', '3 - 1', 'ralph wilson stadium', 'cbs 1:00 pm', '72617'], ['6', 'october 8 , 2000', 'new england patriots', 'l 16 - 24', '3 - 2', 'foxboro stadium', 'cbs 1:00 pm', '60292'], ['7', 'october 15 , 2000', 'seattle seahawks', 'w 37 - 24', '4 - 2', 'husky stadium', 'cbs 4:15 pm', '63593'], ['8', 'october 22 , 2000', 'new england patriots', 'w 30 - 23', '5 - 2', 'rca dome', 'cbs 1:00 pm', '56828'], ['9', 'october 29 , 2000', 'detroit lions', 'w 30 - 18', '6 - 2', 'rca dome', 'fox 1:00 pm', '56971'], ['10', 'november 5 , 2000', 'chicago bears', 'l 24 - 27', '6 - 3', 'soldier field', 'cbs 1:00 pm', '66944'], ['11', 'november 12 , 2000', 'new york jets', 'w 23 - 15', '7 - 3', 'rca dome', 'cbs 1:00 pm', '56657'], ['12', 'november 19 , 2000', 'green bay packers', 'l 24 - 26', '7 - 4', 'lambeau field', 'cbs 1:00 pm', '59869'], ['13', 'november 26 , 2000', 'miami dolphins', 'l 14 - 17', '7 - 5', 'rca dome', 'cbs 4:15 pm', '56935'], ['14', 'december 3 , 2000', 'new york jets', 'l 17 - 27', '7 - 6', 'the meadowlands', 'cbs 4:15 pm', '78138'], ['15', 'december 11 , 2000', 'buffalo bills', 'w 44 - 20', '8 - 6', 'rca dome', 'abc 9:00 pm', '56671'], ['16', 'december 17 , 2000', 'miami dolphins', 'w 20 - 13', '9 - 6', 'pro player stadium', 'cbs 4:05 pm', '73884'], ['17', 'december 24 , 2000', 'minnesota vikings', 'w 31 - 10', '10 - 6', 'rca dome', 'fox 4:15 pm', '56672']] |
2000 in paraguayan football | https://en.wikipedia.org/wiki/2000_in_Paraguayan_football | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18594107-2.html.csv | superlative | during the 2000 paraguayan football season , the team sportivo luqueno scored the lowest number of points among the teams who scored below 10 points . | {'scope': 'all', 'col_superlative': '9', 'row_superlative': '10', 'value_mentioned': 'no', 'max_or_min': 'min', 'other_col': '2', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmin', 'args': ['all_rows', 'points'], 'result': None, 'ind': 0, 'tostr': 'argmin { all_rows ; points }'}, 'team'], 'result': 'sportivo luqueño', 'ind': 1, 'tostr': 'hop { argmin { all_rows ; points } ; team }'}, 'sportivo luqueño'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { argmin { all_rows ; points } ; team } ; sportivo luqueño } = true', 'tointer': 'select the row whose points record of all rows is minimum . the team record of this row is sportivo luqueño .'} | eq { hop { argmin { all_rows ; points } ; team } ; sportivo luqueño } = true | select the row whose points record of all rows is minimum . the team record of this row is sportivo luqueño . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmin_0': 0, 'all_rows_4': 4, 'points_5': 5, 'team_6': 6, 'sportivo luqueño_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmin_0': 'argmin', 'all_rows_4': 'all_rows', 'points_5': 'points', 'team_6': 'team', 'sportivo luqueño_7': 'sportivo luqueño'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmin_0': [1], 'all_rows_4': [0], 'points_5': [0], 'team_6': [1], 'sportivo luqueño_7': [2]} | ['position', 'team', 'played', 'wins', 'draws', 'losses', 'scored', 'conceded', 'points'] | [['1', 'olimpia', '9', '4', '4', '1', '14', '6', '16'], ['2', '12 de octubre', '9', '3', '6', '0', '14', '8', '15'], ['3', 'cerro porteño', '9', '3', '5', '1', '16', '10', '14'], ['4', 'guaraní', '9', '3', '5', '1', '8', '6', '14'], ['5', 'cerro corá', '9', '3', '4', '2', '9', '8', '13'], ['6', 'atl colegiales', '9', '3', '4', '2', '9', '9', '13'], ['7', 'sol de américa', '9', '2', '5', '2', '11', '10', '11'], ['8', 'san lorenzo', '9', '3', '1', '5', '13', '18', '10'], ['9', 'universal', '9', '1', '3', '5', '9', '17', '6'], ['10', 'sportivo luqueño', '9', '0', '3', '6', '8', '19', '3']] |
1972 nhl amateur draft | https://en.wikipedia.org/wiki/1972_NHL_Amateur_Draft | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1473672-1.html.csv | unique | only one goaltender was selected in the top 16 picks of the 1972 nhl amateur draft . | {'scope': 'all', 'row': '6', 'col': '3', 'col_other': '1', 'criterion': 'equal', 'value': 'goaltender', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'position', 'goaltender'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose position record fuzzily matches to goaltender .', 'tostr': 'filter_eq { all_rows ; position ; goaltender }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; position ; goaltender } }', 'tointer': 'select the rows whose position record fuzzily matches to goaltender . there is only one such row in the table .'}, {'func': 'eq', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'position', 'goaltender'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose position record fuzzily matches to goaltender .', 'tostr': 'filter_eq { all_rows ; position ; goaltender }'}, 'pick'], 'result': '6', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; position ; goaltender } ; pick }'}, '6'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; position ; goaltender } ; pick } ; 6 }', 'tointer': 'the pick record of this unqiue row is 6 .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; position ; goaltender } } ; eq { hop { filter_eq { all_rows ; position ; goaltender } ; pick } ; 6 } } = true', 'tointer': 'select the rows whose position record fuzzily matches to goaltender . there is only one such row in the table . the pick record of this unqiue row is 6 .'} | and { only { filter_eq { all_rows ; position ; goaltender } } ; eq { hop { filter_eq { all_rows ; position ; goaltender } ; pick } ; 6 } } = true | select the rows whose position record fuzzily matches to goaltender . there is only one such row in the table . the pick record of this unqiue row is 6 . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'position_7': 7, 'goaltender_8': 8, 'eq_3': 3, 'num_hop_2': 2, 'pick_9': 9, '6_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'position_7': 'position', 'goaltender_8': 'goaltender', 'eq_3': 'eq', 'num_hop_2': 'num_hop', 'pick_9': 'pick', '6_10': '6'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'position_7': [0], 'goaltender_8': [0], 'eq_3': [4], 'num_hop_2': [3], 'pick_9': [2], '6_10': [3]} | ['pick', 'player', 'position', 'nationality', 'nhl team', 'college / junior / club team'] | [['1', 'billy harris', 'right wing', 'canada', 'new york islanders', 'toronto marlboros ( ohl )'], ['2', 'jacques richard', 'left wing', 'canada', 'atlanta flames', 'quebec remparts ( qmjhl )'], ['3', 'don lever', 'centre', 'canada', 'vancouver canucks', 'niagara falls flyers ( omjhl )'], ['4', 'steve shutt', 'left wing', 'canada', 'montreal canadiens', 'toronto marlboros ( omjhl )'], ['5', 'jim schoenfeld', 'defence', 'canada', 'buffalo sabres', 'niagara falls flyers ( omjhl )'], ['6', 'michel larocque', 'goaltender', 'canada', 'montreal canadiens', "ottawa 67 's ( omjhl )"], ['7', 'bill barber', 'left wing', 'canada', 'philadelphia flyers', 'kitchener rangers ( omjhl )'], ['8', 'dave gardner', 'centre', 'canada', 'montreal canadiens', 'toronto marlboros ( omjhl )'], ['9', 'wayne merrick', 'centre', 'canada', 'st louis blues', "ottawa 67 's ( omjhl )"], ['10', 'al blanchard', 'left wing', 'canada', 'new york rangers', 'kitchener rangers ( omjhl )'], ['11', 'george ferguson', 'centre', 'canada', 'toronto maple leafs', 'toronto marlboros ( omjhl )'], ['12', 'jerry byers', 'left wing', 'canada', 'minnesota north stars', 'kitchener rangers ( omjhl )'], ['13', 'phil russell', 'defence', 'canada', 'chicago black hawks', 'edmonton oil kings ( wchl )'], ['14', 'john van boxmeer', 'defence', 'canada', 'montreal canadiens', "guelph cmc 's ( sojhl )"], ['15', 'bob macmillan', 'centre', 'canada', 'new york rangers', 'st catharines black hawks ( omjhl )'], ['16', 'mike bloom', 'left wing', 'canada', 'boston bruins', 'st catharines black hawks ( omjhl )']] |
1986 formula one season | https://en.wikipedia.org/wiki/1986_Formula_One_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1140067-2.html.csv | count | ayrton senna had a total of eight pole positions in the 1986 formula one season . | {'scope': 'all', 'criterion': 'equal', 'value': 'ayrton senna', 'result': '8', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'pole position', 'ayrton senna'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose pole position record fuzzily matches to ayrton senna .', 'tostr': 'filter_eq { all_rows ; pole position ; ayrton senna }'}], 'result': '8', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; pole position ; ayrton senna } }', 'tointer': 'select the rows whose pole position record fuzzily matches to ayrton senna . the number of such rows is 8 .'}, '8'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; pole position ; ayrton senna } } ; 8 } = true', 'tointer': 'select the rows whose pole position record fuzzily matches to ayrton senna . the number of such rows is 8 .'} | eq { count { filter_eq { all_rows ; pole position ; ayrton senna } } ; 8 } = true | select the rows whose pole position record fuzzily matches to ayrton senna . the number of such rows is 8 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'pole position_5': 5, 'ayrton senna_6': 6, '8_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'pole position_5': 'pole position', 'ayrton senna_6': 'ayrton senna', '8_7': '8'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'pole position_5': [0], 'ayrton senna_6': [0], '8_7': [2]} | ['race', 'date', 'location', 'pole position', 'fastest lap', 'race winner', 'constructor', 'report'] | [['brazilian grand prix', '23 march', 'jacarepaguá', 'ayrton senna', 'nelson piquet', 'nelson piquet', 'williams - honda', 'report'], ['spanish grand prix', '13 april', 'jerez', 'ayrton senna', 'nigel mansell', 'ayrton senna', 'lotus - renault', 'report'], ['san marino grand prix', '27 april', 'imola', 'ayrton senna', 'nelson piquet', 'alain prost', 'mclaren - tag', 'report'], ['monaco grand prix', '11 may', 'monaco', 'alain prost', 'alain prost', 'alain prost', 'mclaren - tag', 'report'], ['belgian grand prix', '25 may', 'spa - francorchamps', 'nelson piquet', 'alain prost', 'nigel mansell', 'williams - honda', 'report'], ['canadian grand prix', '15 june', 'circuit gilles villeneuve', 'nigel mansell', 'nelson piquet', 'nigel mansell', 'williams - honda', 'report'], ['detroit grand prix', '22 june', 'detroit', 'ayrton senna', 'nelson piquet', 'ayrton senna', 'lotus - renault', 'report'], ['french grand prix', '6 july', 'paul ricard', 'ayrton senna', 'nigel mansell', 'nigel mansell', 'williams - honda', 'report'], ['british grand prix', '13 july', 'brands hatch', 'nelson piquet', 'nigel mansell', 'nigel mansell', 'williams - honda', 'report'], ['german grand prix', '27 july', 'hockenheimring', 'keke rosberg', 'gerhard berger', 'nelson piquet', 'williams - honda', 'report'], ['hungarian grand prix', '10 august', 'hungaroring', 'ayrton senna', 'nelson piquet', 'nelson piquet', 'williams - honda', 'report'], ['austrian grand prix', '17 august', 'österreichring', 'teo fabi', 'gerhard berger', 'alain prost', 'mclaren - tag', 'report'], ['italian grand prix', '7 september', 'monza', 'teo fabi', 'teo fabi', 'nelson piquet', 'williams - honda', 'report'], ['portuguese grand prix', '21 september', 'estoril', 'ayrton senna', 'nigel mansell', 'nigel mansell', 'williams - honda', 'report'], ['mexican grand prix', '12 october', 'hermanos rodriguez', 'ayrton senna', 'nelson piquet', 'gerhard berger', 'benetton - bmw', 'report'], ['australian grand prix', '26 october', 'adelaide', 'nigel mansell', 'nelson piquet', 'alain prost', 'mclaren - tag', 'report']] |
laser quest | https://en.wikipedia.org/wiki/Laser_Quest | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-2011349-2.html.csv | unique | 1997 was the only year that team mad madison heights mi won the laser quest . | {'scope': 'all', 'row': '16', 'col': '2', 'col_other': '1', 'criterion': 'equal', 'value': 'team mad madison heights mi', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'winner', 'team mad madison heights mi'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose winner record fuzzily matches to team mad madison heights mi .', 'tostr': 'filter_eq { all_rows ; winner ; team mad madison heights mi }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; winner ; team mad madison heights mi } }', 'tointer': 'select the rows whose winner record fuzzily matches to team mad madison heights mi . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'winner', 'team mad madison heights mi'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose winner record fuzzily matches to team mad madison heights mi .', 'tostr': 'filter_eq { all_rows ; winner ; team mad madison heights mi }'}, 'year'], 'result': '1997 details', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; winner ; team mad madison heights mi } ; year }'}, '1997 details'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; winner ; team mad madison heights mi } ; year } ; 1997 details }', 'tointer': 'the year record of this unqiue row is 1997 details .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; winner ; team mad madison heights mi } } ; eq { hop { filter_eq { all_rows ; winner ; team mad madison heights mi } ; year } ; 1997 details } } = true', 'tointer': 'select the rows whose winner record fuzzily matches to team mad madison heights mi . there is only one such row in the table . the year record of this unqiue row is 1997 details .'} | and { only { filter_eq { all_rows ; winner ; team mad madison heights mi } } ; eq { hop { filter_eq { all_rows ; winner ; team mad madison heights mi } ; year } ; 1997 details } } = true | select the rows whose winner record fuzzily matches to team mad madison heights mi . there is only one such row in the table . the year record of this unqiue row is 1997 details . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'winner_7': 7, 'team mad madison heights mi_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'year_9': 9, '1997 details_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'winner_7': 'winner', 'team mad madison heights mi_8': 'team mad madison heights mi', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'year_9': 'year', '1997 details_10': '1997 details'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'winner_7': [0], 'team mad madison heights mi_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'year_9': [2], '1997 details_10': [3]} | ['year', 'winner', 'first runner up', 'third place', 'consolation winner / 4th', 'finals location'] | [['2012 details', 'tsa toronto on', 'nrh north richland hills tx', 'mesa mesa az', 'denver denver co', 'las vegas nv'], ['2011 details', 'nrh north richland hills tx', 'tsa toronto on', 'mesa mesa az', 'federal way seattle wa', 'las vegas nv'], ['2010 details', 'tsa toronto on', 'nrh north richland hills tx', 'mesa mesa az', 'federal way seattle wa', 'hoffman estates il'], ['2009 details', 'nrh north richland hills tx', 'tsa toronto on', 'federal way seattle wa', 'team off hoffman estates il', 'las vegas nv'], ['2008 details', 'nrh north richland hills tx', 'shadowz lincoln ne', 'tsa scarborough on', 'team off hoffman estates il', 'hoffman estates il'], ['2007 details', '9 deadly venoms houston tx', 'brampton brew crew brampton on', 'team off hoffman estates il', 'nrh north richland hills tx', 'gwinnett ga'], ['2006 details', 'shadowz lincoln ne', 'westland wolfpack westland mi', '42 appleton wi', 'brampton brew crew brampton on', 'las vegas nv'], ['2005 details', 'nrh north richland hills tx', '9 deadly venoms houston tx', 'westland wolfpack westland mi', 'brampton brew crew brampton on', 'mesquite tx'], ['2004 details', 'brampton brew crew brampton on', 'nrh north richland hills tx', '9 deadly venoms houston tx', 'phoenix pyros phoenix az', 'rochester ny'], ['2003 details', 'paragon denver co', 'westland wolfpack westland mi', 'shadowz lincoln ne', 'brampton brew crew brampton on', 'north richland hills tx'], ['2002 details', 'paragon denver co', 'phoenix pyros phoenix az', '9 deadly venoms houston tx', 'shadowz lincoln ne', 'norridge il'], ['2001 details', 'paragon denver co', 'westland wolfpack westland mi', 'san antonio san antonio tx', 'austin austin tx', 'colorado springs co'], ['2000 details', 'phoenix pyros phoenix az', 'paragon denver co', 'tulsa whoopdonkeys tulsa ok', 'westland wolfpack westland mi', 'scarborough on'], ['1999 details', 'phoenix pyros phoenix az', 'paragon denver co', 'austin austin tx', 'nrh north richland hills tx', 'north richland hills tx'], ['1998 details', '9 deadly venoms houston tx', 'phoenix pyros phoenix az', 'armageddon lincoln ne', 'mesa mesa az', 'knoxville tn'], ['1997 details', 'team mad madison heights mi', 'paragon denver co', 'oshawa oshawa on', 'phoenix pyros phoenix az', 'downers grove il'], ['1996 details', 'oshawa oshawa on', 'london london on', 'brampton brew crew brampton on', 'charlotte charlotte nc', 'london on']] |
peel thunder football club | https://en.wikipedia.org/wiki/Peel_Thunder_Football_Club | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1165048-1.html.csv | comparative | the peel thunder football club earned more wins in 2008 than it did in 2007 . | {'row_1': '12', 'row_2': '13', 'col': '3', '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', 'season', '2008'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose season record fuzzily matches to 2008 .', 'tostr': 'filter_eq { all_rows ; season ; 2008 }'}, 'win / loss'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; season ; 2008 } ; win / loss }', 'tointer': 'select the rows whose season record fuzzily matches to 2008 . take the win / loss record of this row .'}, {'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'season', '2009'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose season record fuzzily matches to 2009 .', 'tostr': 'filter_eq { all_rows ; season ; 2009 }'}, 'win / loss'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; season ; 2009 } ; win / loss }', 'tointer': 'select the rows whose season record fuzzily matches to 2009 . take the win / loss record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'greater { hop { filter_eq { all_rows ; season ; 2008 } ; win / loss } ; hop { filter_eq { all_rows ; season ; 2009 } ; win / loss } } = true', 'tointer': 'select the rows whose season record fuzzily matches to 2008 . take the win / loss record of this row . select the rows whose season record fuzzily matches to 2009 . take the win / loss record of this row . the first record is greater than the second record .'} | greater { hop { filter_eq { all_rows ; season ; 2008 } ; win / loss } ; hop { filter_eq { all_rows ; season ; 2009 } ; win / loss } } = true | select the rows whose season record fuzzily matches to 2008 . take the win / loss record of this row . select the rows whose season record fuzzily matches to 2009 . take the win / loss 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, 'season_7': 7, '2008_8': 8, 'win / loss_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'season_11': 11, '2009_12': 12, 'win / loss_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', 'season_7': 'season', '2008_8': '2008', 'win / loss_9': 'win / loss', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'season_11': 'season', '2009_12': '2009', 'win / loss_13': 'win / loss'} | {'greater_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'season_7': [0], '2008_8': [0], 'win / loss_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'season_11': [1], '2009_12': [1], 'win / loss_13': [3]} | ['season', 'position', 'win / loss', 'coach', 'captain', 'dudley tuckey medal', 'leading goalkicker'] | [['1997', '9', '1 - 19', 'geoff miles', 'phil gilbert', 'scott simister', 'scott simister ( 27 )'], ['1998', '9', '1 - 19', 'geoff miles troy wilson', 'phil gilbert', 'darren bolton', 'scott simister ( 31 )'], ['1999', '9', '0 - 20', 'troy wilson', 'scott simister', 'scott simister', 'scott simister ( 54 )'], ['2000', '8', '4 - 14', 'shane cable', 'bill monaghan', 'vance davison', 'dean buszan ( 32 )'], ['2001', '6', '7 - 11', 'shane cable', 'vance davison', 'derek hall', 'david mcpharlin ( 25 )'], ['2002', '8', '7 - 11', 'peter german', 'derek hall', 'darren bolton', 'scott simister ( 46 )'], ['2003', '9', '1 - 19', 'john ditchburn', 'derek hall', 'derek hall', 'derek hall ( 22 )'], ['2004', '8', '5 - 15', 'garry hocking', 'brandon hill', 'daniel haines', 'cameron gauci ( 40 )'], ['2005', '9', '3 - 17', 'garry hocking', 'grant welsh', 'pat travers', 'justin wood ( 29 )'], ['2006', '8', '6 - 14', 'chris waterman', 'grant welsh', "rory o'brien", 'dean buszan ( 44 )'], ['2007', '8', '5 - 15', 'chris waterman', 'grant welsh', 'daniel haines', 'dean buszan ( 30 )'], ['2008', '6', '8 - 12', 'chris waterman', 'grant welsh', 'hayden ballantyne', 'hayden ballantyne ( 75 )'], ['2009', '9', '5 - 15', 'chris waterman', 'daniel haines', 'ben howlett', 'kain robins ( 33 )'], ['2010', '8', '3 - 17', 'trevor williams', 'daniel haines brendon jones', "rory o'brien", 'matthew battye ( 27 )'], ['2011', '9', '5 - 15', 'trevor williams', 'brendon jones', 'kristin thornton', 'bradley holmes ( 36 )'], ['2012', '9', '5 - 15', 'trevor williams mark moody', 'brendon jones', 'brendon jones', 'bradley holmes ( 52 )'], ['2013', '9', '3 - 17', 'cam shepherd', 'brendon jones', 'viv michie', 'bradley holmes ( 33 )']] |
north american soccer league ( 1968 - 84 ) | https://en.wikipedia.org/wiki/North_American_Soccer_League_%281968%E2%80%9384%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-237757-3.html.csv | count | giorgio chinaglia was the leading scorer in the north american soccer league a total of five times . | {'scope': 'all', 'criterion': 'equal', 'value': 'giorgio chinaglia', 'result': '5', 'col': '5', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'top scorer ( points )', 'giorgio chinaglia'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose top scorer ( points ) record fuzzily matches to giorgio chinaglia .', 'tostr': 'filter_eq { all_rows ; top scorer ( points ) ; giorgio chinaglia }'}], 'result': '5', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; top scorer ( points ) ; giorgio chinaglia } }', 'tointer': 'select the rows whose top scorer ( points ) record fuzzily matches to giorgio chinaglia . the number of such rows is 5 .'}, '5'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; top scorer ( points ) ; giorgio chinaglia } } ; 5 } = true', 'tointer': 'select the rows whose top scorer ( points ) record fuzzily matches to giorgio chinaglia . the number of such rows is 5 .'} | eq { count { filter_eq { all_rows ; top scorer ( points ) ; giorgio chinaglia } } ; 5 } = true | select the rows whose top scorer ( points ) record fuzzily matches to giorgio chinaglia . the number of such rows is 5 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'top scorer (points)_5': 5, 'giorgio chinaglia_6': 6, '5_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'top scorer (points)_5': 'top scorer ( points )', 'giorgio chinaglia_6': 'giorgio chinaglia', '5_7': '5'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'top scorer (points)_5': [0], 'giorgio chinaglia_6': [0], '5_7': [2]} | ['year', 'winner ( number of titles )', 'runners - up', 'top team in regular season ( points )', 'top scorer ( points )', 'winning coach'] | [['1968', 'atlanta chiefs ( 1 )', 'san diego toros', 'san diego toros ( 186 points )', 'janusz kowalik', 'phil woosnam'], ['1969', 'kansas city spurs ( 1 )', 'atlanta chiefs', 'kansas city spurs ( 110 points )', 'kaizer motaung', 'janos bedl'], ['1970', 'rochester lancers ( 1 )', 'washington darts', 'washington darts ( 137 points )', 'kirk apostolidis', 'sal derosa'], ['1971', 'dallas tornado ( 1 )', 'atlanta chiefs', 'rochester lancers ( 141 points )', 'carlos metidieri', 'ron newman'], ['1972', 'new york cosmos ( 1 )', 'st louis stars', 'new york cosmos ( 77 points )', 'randy horton', 'gordon bradley'], ['1973', 'philadelphia atoms ( 1 )', 'dallas tornado', 'dallas tornado ( 111 points )', 'kyle rote , jr', 'al miller'], ['1974', 'los angeles aztecs ( 1 )', 'miami toros', 'los angeles aztecs ( 110 points )', 'paul child', 'alex perolli'], ['1975', 'tampa bay rowdies ( 1 )', 'portland timbers', 'portland timbers ( 138 points )', 'steve david', 'eddie firmani'], ['1976', 'toronto metros - croatia ( 1 )', 'minnesota kicks', 'tampa bay rowdies ( 154 points )', 'giorgio chinaglia', 'domagoj kapetanović'], ['1977', 'new york cosmos ( 2 )', 'seattle sounders', 'fort lauderdale strikers ( 161 points )', 'steve david', 'eddie firmani'], ['1978', 'new york cosmos ( 3 )', 'tampa bay rowdies', 'new york cosmos ( 212 points )', 'giorgio chinaglia', 'eddie firmani'], ['1979', 'vancouver whitecaps ( 1 )', 'tampa bay rowdies', 'new york cosmos ( 216 points )', 'oscar fabbiani', 'tony waiters'], ['1980', 'new york cosmos ( 4 )', 'fort lauderdale strikers', 'new york cosmos ( 213 points )', 'giorgio chinaglia', 'hennes weisweiler & yasin özdenak'], ['1981', 'chicago sting ( 1 )', 'new york cosmos', 'new york cosmos ( 200 points )', 'giorgio chinaglia', 'willy roy'], ['1982', 'new york cosmos ( 5 )', 'seattle sounders', 'new york cosmos ( 203 points )', 'giorgio chinaglia', 'julio mazzei'], ['1983', 'tulsa roughnecks ( 1 )', 'toronto blizzard', 'new york cosmos ( 194 points )', 'roberto cabañas', 'terry hennessey']] |
list of gilmore girls episodes | https://en.wikipedia.org/wiki/List_of_Gilmore_Girls_episodes | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-2602958-5.html.csv | count | two gilmore girls episodes had 5.5 million us viewers . | {'scope': 'all', 'criterion': 'equal', 'value': '5.5', 'result': '2', 'col': '8', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'us viewers ( million )', '5.5'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose us viewers ( million ) record is equal to 5.5 .', 'tostr': 'filter_eq { all_rows ; us viewers ( million ) ; 5.5 }'}], 'result': '2', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; us viewers ( million ) ; 5.5 } }', 'tointer': 'select the rows whose us viewers ( million ) record is equal to 5.5 . the number of such rows is 2 .'}, '2'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; us viewers ( million ) ; 5.5 } } ; 2 } = true', 'tointer': 'select the rows whose us viewers ( million ) record is equal to 5.5 . the number of such rows is 2 .'} | eq { count { filter_eq { all_rows ; us viewers ( million ) ; 5.5 } } ; 2 } = true | select the rows whose us viewers ( million ) record is equal to 5.5 . the number of such rows is 2 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_eq_0': 0, 'all_rows_4': 4, 'us viewers (million)_5': 5, '5.5_6': 6, '2_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_eq_0': 'filter_eq', 'all_rows_4': 'all_rows', 'us viewers (million)_5': 'us viewers ( million )', '5.5_6': '5.5', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_eq_0': [1], 'all_rows_4': [0], 'us viewers (million)_5': [0], '5.5_6': [0], '2_7': [2]} | ['no', '-', 'title', 'director', 'writer ( s )', 'original air date', 'prod code', 'us viewers ( million )'] | [['66', '1', 'ballrooms and biscotti', 'amy sherman - palladino', 'amy sherman - palladino', 'september 23 , 2003', '176151', '5.2'], ['67', '2', "the lorelais ' first day at yale", 'chris long', 'daniel palladino', 'september 30 , 2003', '176152', '3.9'], ['68', '3', 'the hobbit , the sofa and digger stiles', 'matthew diamond', 'amy sherman - palladino', 'october 7 , 2003', '176153', '4.9'], ['69', '4', 'chicken or beef', 'chris long', 'jane espenson', 'october 14 , 2003', '176154', '5.5'], ['70', '5', 'the fundamental things apply', 'neema barnette', 'john stephens', 'october 21 , 2003', '176155', '5.5'], ['71', '6', 'an affair to remember', 'matthew diamond', 'amy sherman - palladino', 'october 28 , 2003', '176156', '5.2'], ['72', '7', 'the festival of living art', 'chris long', 'daniel palladino', 'november 4 , 2003', '176157', '4.7'], ['73', '8', 'die , jerk', 'tom moore', 'daniel palladino', 'november 11 , 2003', '176158', '4.9'], ['74', '9', "ted koppel 's big night out", 'jamie babbit', 'amy sherman - palladino', 'november 18 , 2003', '176159', '5.2'], ['75', '10', 'the nanny and the professor', 'peter lauer', 'scott kaufer', 'january 20 , 2004', '176160', '4.1'], ['76', '11', 'in the clamor and the clangor', 'michael grossman', 'sheila r lawrence , janet leahy', 'january 27 , 2004', '176161', '4.4'], ['77', '12', 'a family matter', 'kenny ortega', 'daniel palladino', 'february 3 , 2004', '176162', '4.9'], ['79', '14', 'the incredible sinking lorelais', 'stephen clancy', 'amy sherman - palladino , daniel palladino', 'february 17 , 2004', '176164', '4.8'], ['80', '15', 'scene in a mall', 'chris long', 'daniel palladino', 'february 24 , 2004', '176165', '4.8'], ['81', '16', 'the reigning lorelai', 'marita grabiak', 'jane espenson', 'march 2 , 2004', '176166', '5.0'], ['82', '17', "girls in bikinis , boys doin ' the twist", 'jamie babbit', 'amy sherman - palladino', 'april 13 , 2004', '176167', '4.5'], ['83', '18', 'tick , tick , tick , boom !', 'daniel palladino', 'daniel palladino', 'april 20 , 2004', '176168', '4.2'], ['84', '19', 'afterboom', 'michael zinberg', 'sheila r lawrence', 'april 27 , 2004', '176169', '4.3'], ['85', '20', 'luke can see her face', 'matthew diamond', 'amy sherman - palladino , daniel palladino', 'may 4 , 2004', '176170', '4.2'], ['86', '21', 'last week fights , this week tights', 'chris long', 'daniel palladino', 'may 11 , 2004', '176171', '4.6']] |
giovanni cornacchia | https://en.wikipedia.org/wiki/Giovanni_Cornacchia | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11881177-1.html.csv | count | for giovanni cornacchia , when the year is before 1967 , there were two times the result was 2nd place . | {'scope': 'subset', 'criterion': 'equal', 'value': '2nd', 'result': '2', 'col': '4', 'subset': {'col': '1', 'criterion': 'less_than', 'value': '1967'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_less', 'args': ['all_rows', 'year', '1967'], 'result': None, 'ind': 0, 'tostr': 'filter_less { all_rows ; year ; 1967 }', 'tointer': 'select the rows whose year record is less than 1967 .'}, 'result', '2nd'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose year record is less than 1967 . among these rows , select the rows whose result record fuzzily matches to 2nd .', 'tostr': 'filter_eq { filter_less { all_rows ; year ; 1967 } ; result ; 2nd }'}], 'result': '2', 'ind': 2, 'tostr': 'count { filter_eq { filter_less { all_rows ; year ; 1967 } ; result ; 2nd } }', 'tointer': 'select the rows whose year record is less than 1967 . among these rows , select the rows whose result record fuzzily matches to 2nd . the number of such rows is 2 .'}, '2'], 'result': True, 'ind': 3, 'tostr': 'eq { count { filter_eq { filter_less { all_rows ; year ; 1967 } ; result ; 2nd } } ; 2 } = true', 'tointer': 'select the rows whose year record is less than 1967 . among these rows , select the rows whose result record fuzzily matches to 2nd . the number of such rows is 2 .'} | eq { count { filter_eq { filter_less { all_rows ; year ; 1967 } ; result ; 2nd } } ; 2 } = true | select the rows whose year record is less than 1967 . among these rows , select the rows whose result record fuzzily matches to 2nd . the number of such rows is 2 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'count_2': 2, 'filter_str_eq_1': 1, 'filter_less_0': 0, 'all_rows_5': 5, 'year_6': 6, '1967_7': 7, 'result_8': 8, '2nd_9': 9, '2_10': 10} | {'eq_3': 'eq', 'result_4': 'true', 'count_2': 'count', 'filter_str_eq_1': 'filter_str_eq', 'filter_less_0': 'filter_less', 'all_rows_5': 'all_rows', 'year_6': 'year', '1967_7': '1967', 'result_8': 'result', '2nd_9': '2nd', '2_10': '2'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_str_eq_1': [2], 'filter_less_0': [1], 'all_rows_5': [0], 'year_6': [0], '1967_7': [0], 'result_8': [1], '2nd_9': [1], '2_10': [3]} | ['year', 'tournament', 'venue', 'result', 'event'] | [['1962', 'european championships', 'belgrade , yugoslavia', '2nd', '110 m hurdles'], ['1964', 'olympic games', 'tokyo , japan', '7th', '110 m hurdles'], ['1965', 'universiade', 'budapest , hungary', '2nd', '110 m hurdles'], ['1966', 'european championships', 'budapest , hungary', '5th', '110 m hurdles'], ['1967', 'mediterranean games', 'tunis , tunisia', '1st', '110 m hurdles']] |
list of top association football goal scorers by country | https://en.wikipedia.org/wiki/List_of_top_association_football_goal_scorers_by_country | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1590321-44.html.csv | aggregation | the top 10 association football goal scorers made a total of 1158 goals over their careers . | {'scope': 'all', 'col': '5', 'type': 'sum', 'result': '1158', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': ['all_rows', 'goals'], 'result': '1158', 'ind': 0, 'tostr': 'sum { all_rows ; goals }'}, '1158'], 'result': True, 'ind': 1, 'tostr': 'round_eq { sum { all_rows ; goals } ; 1158 } = true', 'tointer': 'the sum of the goals record of all rows is 1158 .'} | round_eq { sum { all_rows ; goals } ; 1158 } = true | the sum of the goals record of all rows is 1158 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'sum_0': 0, 'all_rows_3': 3, 'goals_4': 4, '1158_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'sum_0': 'sum', 'all_rows_3': 'all_rows', 'goals_4': 'goals', '1158_5': '1158'} | {'eq_1': [2], 'result_2': [], 'sum_0': [1], 'all_rows_3': [0], 'goals_4': [0], '1158_5': [1]} | ['rank', 'name', 'years', 'matches', 'goals'] | [['1', 'mihails miholaps', '1995 - 2009', '286', '210'], ['2', 'viktors dobrecovs', '1993 - 2009', '325', '169'], ['3', 'vits rimkus', '1992 - 2009', '337', '166'], ['4', 'aleksandr katasonov', '2001 - 2007', '170', '105'], ['5', 'kristaps grebis', '2000 - present', '225', '104'], ['6', 'girts karlsons', '1998 - 2009', '200', '98'], ['7', 'vitalijs astafjevs', '1992 - present', '252', '79'], ['8', 'gatis kalniņš', '2000 - present', '206', '77'], ['9', 'vladimirs babicevs', '1992 - 2006', '215', '76'], ['10', 'david chaladze', '1997 - 2006', '91', '74']] |
2008 - 09 f.c. copenhagen season | https://en.wikipedia.org/wiki/2008%E2%80%9309_F.C._Copenhagen_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17637370-3.html.csv | count | in the 2008 - 09 season , f.c. copenhagen had 2 new players that came from the youth system . | {'scope': 'all', 'criterion': 'equal', 'value': 'youth system', 'result': '2', 'col': '7', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'transfer fee', 'youth system'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose transfer fee record fuzzily matches to youth system .', 'tostr': 'filter_eq { all_rows ; transfer fee ; youth system }'}], 'result': '2', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; transfer fee ; youth system } }', 'tointer': 'select the rows whose transfer fee record fuzzily matches to youth system . the number of such rows is 2 .'}, '2'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; transfer fee ; youth system } } ; 2 } = true', 'tointer': 'select the rows whose transfer fee record fuzzily matches to youth system . the number of such rows is 2 .'} | eq { count { filter_eq { all_rows ; transfer fee ; youth system } } ; 2 } = true | select the rows whose transfer fee record fuzzily matches to youth system . 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, 'transfer fee_5': 5, 'youth system_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', 'transfer fee_5': 'transfer fee', 'youth system_6': 'youth system', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'transfer fee_5': [0], 'youth system_6': [0], '2_7': [2]} | ['nat', 'name', 'moving from', 'type', 'transfer window', 'ends', 'transfer fee', 'source'] | [['dnk', 'd jensen', 'youth system', 'promoted', 'summer', '2011', 'youth system', 'fckdk'], ['dnk', 'albrechtsen', 'youth system', 'promoted', 'summer', '2010', 'youth system', 'fckdk'], ['dnk', 'bertolt', 'viborg', 'end of loan', 'summer', '2009', 'n / a', 'fckdk'], ['dnk', 'kristensen', 'nordsjãlland', 'transfer', 'summer', '2012', 'undisclosed', 'fckdk'], ['bra', 'santin', 'kalmar ff', 'transfer', 'summer', '2013', 'dkk 15000000', 'fckdk'], ['swe', 'larsson', 'halmstads bk', 'transfer', 'summer', '2013', 'dkk 15000000', 'fckdk'], ['swe', 'wiland', 'if elfsborg', 'transfer', 'winter', '2013', 'dkk 8000000', 'fckdk'], ['dnk', 'vingaard', 'esbjerg', 'transfer', 'winter', '2012', 'dkk 8000000', 'fckdk'], ['sen', "n'doye", 'ofi', 'transfer', 'winter', '2013', 'dkk 15000000', 'fckdk']] |
2009 - 10 washington wizards season | https://en.wikipedia.org/wiki/2009%E2%80%9310_Washington_Wizards_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-23274514-7.html.csv | superlative | verizon center was the first location used by the washington wizards during the 2009 - 10 season . | {'scope': 'all', 'col_superlative': '2', 'row_superlative': '1', 'value_mentioned': 'no', 'max_or_min': 'min', 'other_col': '8', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmin', 'args': ['all_rows', 'date'], 'result': None, 'ind': 0, 'tostr': 'argmin { all_rows ; date }'}, 'location attendance'], 'result': 'verizon center 20173', 'ind': 1, 'tostr': 'hop { argmin { all_rows ; date } ; location attendance }'}, 'verizon center 20173'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { argmin { all_rows ; date } ; location attendance } ; verizon center 20173 } = true', 'tointer': 'select the row whose date record of all rows is minimum . the location attendance record of this row is verizon center 20173 .'} | eq { hop { argmin { all_rows ; date } ; location attendance } ; verizon center 20173 } = true | select the row whose date record of all rows is minimum . the location attendance record of this row is verizon center 20173 . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmin_0': 0, 'all_rows_4': 4, 'date_5': 5, 'location attendance_6': 6, 'verizon center 20173_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmin_0': 'argmin', 'all_rows_4': 'all_rows', 'date_5': 'date', 'location attendance_6': 'location attendance', 'verizon center 20173_7': 'verizon center 20173'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmin_0': [1], 'all_rows_4': [0], 'date_5': [0], 'location attendance_6': [1], 'verizon center 20173_7': [2]} | ['game', 'date', 'team', 'score', 'high points', 'high rebounds', 'high assists', 'location attendance', 'record'] | [['47', 'february 1', 'boston', 'l 88 - 99 ( ot )', 'caron butler ( 20 )', 'caron butler ( 11 )', 'randy foye ( 4 )', 'verizon center 20173', '16 - 31'], ['48', 'february 3', 'new york', 'l 85 - 107 ( ot )', 'foye & young ( 15 )', 'brendan haywood ( 8 )', 'earl boykins ( 6 )', 'madison square garden 19225', '16 - 32'], ['49', 'february 5', 'orlando', 'w 92 - 91 ( ot )', 'caron butler ( 31 )', 'brendan haywood ( 10 )', 'randy foye ( 7 )', 'amway arena 17461', '17 - 32'], ['50', 'february 9', 'charlotte', 'l 92 - 94 ( ot )', 'caron butler ( 23 )', 'brendan haywood ( 11 )', 'caron butler ( 8 )', 'time warner cable arena 12376', '17 - 33'], ['51', 'february 17', 'minnesota', 'w 108 - 99 ( ot )', 'andray blatche ( 33 )', 'andray blatche ( 13 )', 'earl boykins ( 8 )', 'verizon center 13143', '18 - 33'], ['52', 'february 19', 'denver', 'w 107 - 97 ( ot )', 'al thornton ( 21 )', 'andray blatche ( 11 )', 'mike miller ( 7 )', 'verizon center 17212', '19 - 33'], ['53', 'february 20', 'toronto', 'l 104 - 109 ( ot )', 'andray blatche ( 24 )', 'miller & howard ( 7 )', 'earl boykins ( 6 )', 'air canada centre 19149', '19 - 34'], ['54', 'february 22', 'chicago', 'w 101 - 95 ( ot )', 'andray blatche ( 25 )', 'james singleton ( 12 )', 'randy foye ( 9 )', 'verizon center 14113', '20 - 34'], ['55', 'february 24', 'memphis', 'l 94 - 99 ( ot )', 'andray blatche ( 24 )', 'al thornton ( 11 )', 'foye & miller ( 7 )', 'verizon center 11875', '20 - 35'], ['56', 'february 26', 'new york', 'l 116 - 118 ( ot ) ot', 'andray blatche ( 26 )', 'andray blatche ( 18 )', 'randy foye ( 10 )', 'verizon center 17408', '20 - 36']] |
1982 - 83 atlanta hawks season | https://en.wikipedia.org/wiki/1982%E2%80%9383_Atlanta_Hawks_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18409079-1.html.csv | unique | joe kopicki was the only player that the atlanta hawks drafted from detroit mercy college . | {'scope': 'all', 'row': '2', 'col': '5', 'col_other': '3', 'criterion': 'equal', 'value': 'detroit mercy', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'college', 'detroit mercy'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose college record fuzzily matches to detroit mercy .', 'tostr': 'filter_eq { all_rows ; college ; detroit mercy }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; college ; detroit mercy } }', 'tointer': 'select the rows whose college record fuzzily matches to detroit mercy . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'college', 'detroit mercy'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose college record fuzzily matches to detroit mercy .', 'tostr': 'filter_eq { all_rows ; college ; detroit mercy }'}, 'player'], 'result': 'joe kopicki', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; college ; detroit mercy } ; player }'}, 'joe kopicki'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; college ; detroit mercy } ; player } ; joe kopicki }', 'tointer': 'the player record of this unqiue row is joe kopicki .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; college ; detroit mercy } } ; eq { hop { filter_eq { all_rows ; college ; detroit mercy } ; player } ; joe kopicki } } = true', 'tointer': 'select the rows whose college record fuzzily matches to detroit mercy . there is only one such row in the table . the player record of this unqiue row is joe kopicki .'} | and { only { filter_eq { all_rows ; college ; detroit mercy } } ; eq { hop { filter_eq { all_rows ; college ; detroit mercy } ; player } ; joe kopicki } } = true | select the rows whose college record fuzzily matches to detroit mercy . there is only one such row in the table . the player record of this unqiue row is joe kopicki . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'college_7': 7, 'detroit mercy_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'player_9': 9, 'joe kopicki_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', 'detroit mercy_8': 'detroit mercy', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'player_9': 'player', 'joe kopicki_10': 'joe kopicki'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'college_7': [0], 'detroit mercy_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'player_9': [2], 'joe kopicki_10': [3]} | ['round', 'pick', 'player', 'nationality', 'college'] | [['1', '10', 'keith edmonson', 'united states', 'purdue'], ['3', '56', 'joe kopicki', 'united states', 'detroit mercy'], ['5', '102', 'mark hall', 'united states', 'minnesota'], ['6', '126', 'jay bruchak', 'united states', "mount st mary 's"], ['7', '148', 'horace wyatt', 'united states', 'clemson'], ['8', '172', 'james ratiff', 'united states', 'howard'], ['9', '194', 'pierre bland', 'united states', 'elizabeth city state'], ['10', '216', 'ronnie mcadoo', 'united states', 'old dominion']] |
peter fleming ( tennis ) | https://en.wikipedia.org/wiki/Peter_Fleming_%28tennis%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1834797-2.html.csv | unique | the bologna , italy tournament is the only tournament in which peter fleming played against adriano panatta in the final . | {'scope': 'all', 'row': '2', 'col': '5', 'col_other': '3', 'criterion': 'equal', 'value': 'adriano panatta', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'opponent in the final', 'adriano panatta'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose opponent in the final record fuzzily matches to adriano panatta .', 'tostr': 'filter_eq { all_rows ; opponent in the final ; adriano panatta }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; opponent in the final ; adriano panatta } }', 'tointer': 'select the rows whose opponent in the final record fuzzily matches to adriano panatta . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'opponent in the final', 'adriano panatta'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose opponent in the final record fuzzily matches to adriano panatta .', 'tostr': 'filter_eq { all_rows ; opponent in the final ; adriano panatta }'}, 'championship'], 'result': 'bologna , italy', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; opponent in the final ; adriano panatta } ; championship }'}, 'bologna , italy'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; opponent in the final ; adriano panatta } ; championship } ; bologna , italy }', 'tointer': 'the championship record of this unqiue row is bologna , italy .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; opponent in the final ; adriano panatta } } ; eq { hop { filter_eq { all_rows ; opponent in the final ; adriano panatta } ; championship } ; bologna , italy } } = true', 'tointer': 'select the rows whose opponent in the final record fuzzily matches to adriano panatta . there is only one such row in the table . the championship record of this unqiue row is bologna , italy .'} | and { only { filter_eq { all_rows ; opponent in the final ; adriano panatta } } ; eq { hop { filter_eq { all_rows ; opponent in the final ; adriano panatta } ; championship } ; bologna , italy } } = true | select the rows whose opponent in the final record fuzzily matches to adriano panatta . there is only one such row in the table . the championship record of this unqiue row is bologna , italy . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'opponent in the final_7': 7, 'adriano panatta_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'championship_9': 9, 'bologna , italy_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'opponent in the final_7': 'opponent in the final', 'adriano panatta_8': 'adriano panatta', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'championship_9': 'championship', 'bologna , italy_10': 'bologna , italy'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'opponent in the final_7': [0], 'adriano panatta_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'championship_9': [2], 'bologna , italy_10': [3]} | ['outcome', 'date', 'championship', 'surface', 'opponent in the final', 'score in the final'] | [['runner - up', '1978', 'maui , us', 'hard', 'bill scanlon', '2 - 6 , 0 - 6'], ['winner', '1978', 'bologna , italy', 'carpet', 'adriano panatta', '6 - 2 , 7 - 6'], ['runner - up', '1978', 'montego bay , jamaica', 'hard', 'ilie năstase', '6 - 2 , 6 - 5 , 2 - 6 , 4 - 6 , 4 - 6'], ['runner - up', '1979', 'san jose , us', 'carpet', 'john mcenroe', '6 - 7 , 6 - 7'], ['winner', '1979', 'cincinnati , us', 'hard', 'roscoe tanner', '6 - 4 , 6 - 2'], ['winner', '1979', 'los angeles , us', 'carpet', 'john mcenroe', '6 - 4 , 6 - 4'], ['runner - up', '1979', 'san francisco , us', 'carpet', 'john mcenroe', '6 - 4 , 5 - 7 , 2 - 6'], ['runner - up', '1979', 'maui , us', 'hard', 'bill scanlon', '1 - 6 , 1 - 6']] |
2008 - 09 west ham united f.c. season | https://en.wikipedia.org/wiki/2008%E2%80%9309_West_Ham_United_F.C._season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18539546-24.html.csv | majority | the majority of competitions were friendly during the 2008 - 09 west ham united f.c. season . | {'scope': 'all', 'col': '3', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'friendly', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'competition or tour', 'friendly'], 'result': True, 'ind': 0, 'tointer': 'for the competition or tour records of all rows , most of them fuzzily match to friendly .', 'tostr': 'most_eq { all_rows ; competition or tour ; friendly } = true'} | most_eq { all_rows ; competition or tour ; friendly } = true | for the competition or tour records of all rows , most of them fuzzily match to friendly . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'competition or tour_3': 3, 'friendly_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'competition or tour_3': 'competition or tour', 'friendly_4': 'friendly'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'competition or tour_3': [0], 'friendly_4': [0]} | ['match', 'date', 'competition or tour', 'ground', 'opponent', 'score1', 'scorers'] | [['1', '17 july 2008', 'friendly', 'a', 'hampton & richmond', '4 - 2', "bellamy 37 ' & 60 ' , noble 41 ' , hines 81 '"], ['2', '20 july 2008', 'friendly', 'a', 'columbus crew', '3 - 1', "ashton 6 ' , evans og 26 ' , reid 53 '"], ['3', '24 july 2008', 'major league soccer all - star game', 'a', 'major league all stars', '2 - 3', "ashton 26 ' & 67 '"], ['4', '29 july 2008', 'friendly', 'a', 'peterborough united', '2 - 0', "bellamy 3 ' & 42 '"], ['5', '1 august 2008', 'friendly', 'a', 'southampton', '2 - 2', "davenport 45 ' , hines 65 '"], ['6', '4 august 2008', 'friendly', 'a', 'ipswich town', '5 - 3', "ashton 4 ' , 57 ' & 74 ' , bellamy 10 ' , noble 79 '"], ['7', '9 august 2008', 'the bobby moore cup', 'h', 'villarreal', '1 - 1', "cole 1 '"]] |
european parliament election , 2009 ( france ) | https://en.wikipedia.org/wiki/European_Parliament_election%2C_2009_%28France%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11728067-2.html.csv | superlative | the highest 2004 results for the 2009 euopean parliament election was for the ps party at 28.9 % . | {'scope': 'all', 'col_superlative': '2', 'row_superlative': '2', 'value_mentioned': 'yes', 'max_or_min': 'max', 'other_col': '1', 'subset': None} | {'func': 'and', 'args': [{'func': 'eq', 'args': [{'func': 'max', 'args': ['all_rows', 'results 2004'], 'result': '28.90 %', 'ind': 0, 'tostr': 'max { all_rows ; results 2004 }', 'tointer': 'the maximum results 2004 record of all rows is 28.90 % .'}, '28.90 %'], 'result': True, 'ind': 1, 'tostr': 'eq { max { all_rows ; results 2004 } ; 28.90 % }', 'tointer': 'the maximum results 2004 record of all rows is 28.90 % .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'results 2004'], 'result': None, 'ind': 2, 'tostr': 'argmax { all_rows ; results 2004 }'}, 'party'], 'result': 'ps', 'ind': 3, 'tostr': 'hop { argmax { all_rows ; results 2004 } ; party }'}, 'ps'], 'result': True, 'ind': 4, 'tostr': 'eq { hop { argmax { all_rows ; results 2004 } ; party } ; ps }', 'tointer': 'the party record of the row with superlative results 2004 record is ps .'}], 'result': True, 'ind': 5, 'tostr': 'and { eq { max { all_rows ; results 2004 } ; 28.90 % } ; eq { hop { argmax { all_rows ; results 2004 } ; party } ; ps } } = true', 'tointer': 'the maximum results 2004 record of all rows is 28.90 % . the party record of the row with superlative results 2004 record is ps .'} | and { eq { max { all_rows ; results 2004 } ; 28.90 % } ; eq { hop { argmax { all_rows ; results 2004 } ; party } ; ps } } = true | the maximum results 2004 record of all rows is 28.90 % . the party record of the row with superlative results 2004 record is ps . | 6 | 6 | {'and_5': 5, 'result_6': 6, 'eq_1': 1, 'max_0': 0, 'all_rows_7': 7, 'results 2004_8': 8, '28.90%_9': 9, 'str_eq_4': 4, 'str_hop_3': 3, 'argmax_2': 2, 'all_rows_10': 10, 'results 2004_11': 11, 'party_12': 12, 'ps_13': 13} | {'and_5': 'and', 'result_6': 'true', 'eq_1': 'eq', 'max_0': 'max', 'all_rows_7': 'all_rows', 'results 2004_8': 'results 2004', '28.90%_9': '28.90 %', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'argmax_2': 'argmax', 'all_rows_10': 'all_rows', 'results 2004_11': 'results 2004', 'party_12': 'party', 'ps_13': 'ps'} | {'and_5': [6], 'result_6': [], 'eq_1': [5], 'max_0': [1], 'all_rows_7': [0], 'results 2004_8': [0], '28.90%_9': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'argmax_2': [3], 'all_rows_10': [2], 'results 2004_11': [2], 'party_12': [3], 'ps_13': [4]} | ['party', 'results 2004', 'ifop 11 / 12 / 08', 'ifop 1 / 9 / 09', 'ipsos 3 / 14 / 09', 'csa 4 / 16 / 09', 'opinionway 4 / 17 / 09', 'ifop 4 / 24 / 09', 'ipsos 5 / 2 / 09', 'ifop 5 / 11 / 09', 'opinionway 5 / 11 / 09'] | [['ump - nc', '16.64 %', '24 %', '26 %', '27 %', '27 %', '28 %', '26.5 %', '27 %', '27 %', '27 %'], ['ps', '28.90 %', '22 %', '23 %', '24 %', '25 %', '23 %', '22.5 %', '23 %', '21.5 %', '22 %'], ['modem', '11.96 %', '12 %', '14.5 %', '10 %', '12 %', '12 %', '14 %', '11 %', '13.5 %', '13 %'], ['fn', '9.81 %', '7 %', '6 %', '5.5 %', '8 %', '6 %', '7.5 %', '5 %', '7.5 %', '7 %'], ['others', '6.74 %', '-', '0.5 %', '0.5 %', '-', '-', '-', '2 %', '2 %', '2 %'], ['libertas', '8.4 %', '7 %', '5 %', '6 %', '5 %', '5 %', '5 %', '6 %', '5 %', '5 %'], ['europe écologie', '7.41 %', '11 %', '7 %', '9 %', '10 %', '10 %', '7.5 %', '10 %', '7 %', '9 %'], ['left front', '5.88 %', '3 %', '4 %', '6 %', '3 %', '5 %', '5.5 %', '6 %', '6.5 %', '5 %'], ['npa', '2.56 %', '8 %', '9 %', '9 %', '7 %', '7 %', '7 %', '7 %', '7 %', '7 %'], ['lo', '2.56 %', '4 %', '3 %', '2 %', '2 %', '-', '2.5 %', '2 %', '2 %', '2 %'], ['dlr', '0.00 %', '1 %', '2 %', '1 %', '1 %', '1 %', '1.5 %', '1 %', '1 %', '1 %']] |
ricardo páez | https://en.wikipedia.org/wiki/Ricardo_P%C3%A1ez | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14394530-1.html.csv | majority | most of of the competitions were friendlies ( 4 of the 6 ) . | {'scope': 'all', 'col': '6', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'friendly', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'competition', 'friendly'], 'result': True, 'ind': 0, 'tointer': 'for the competition records of all rows , most of them fuzzily match to friendly .', 'tostr': 'most_eq { all_rows ; competition ; friendly } = true'} | most_eq { all_rows ; competition ; friendly } = true | for the competition records of all rows , most of them fuzzily match to friendly . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'competition_3': 3, 'friendly_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'competition_3': 'competition', 'friendly_4': 'friendly'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'competition_3': [0], 'friendly_4': [0]} | ['goal', 'date', 'venue', 'score', 'result', 'competition'] | [['1', 'september 4 , 2001', 'estadio nacional de chile , santiago , chile', '0 - 1', '0 - 2', '2002 world cup qualification'], ['2', 'november 20 , 2002', 'brígido iriarte , caracas , venezuela', '1 - 0', '1 - 0', 'friendly'], ['3', 'april 2 , 2003', 'brígido iriarte , caracas , venezuela', '2 - 0', '2 - 0', 'friendly'], ['4', 'february 9 , 2005', 'josé pachencho romero , maracaibo , venezuela', '1 - 0', '3 - 0', 'friendly'], ['5', 'march 28 , 2007', 'josé pachencho romero , maracaibo , venezuela', '1 - 0', '5 - 0', 'friendly'], ['6', 'june 26 , 2007', 'pueblo nuevo , san cristóbal , venezuela', '2 - 1', '2 - 2', '2007 copa américa']] |
2001 masters tournament | https://en.wikipedia.org/wiki/2001_Masters_Tournament | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16514667-3.html.csv | majority | most of the players in the 2001 masters tournament were from the united states . | {'scope': 'all', 'col': '3', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'united states', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'country', 'united states'], 'result': True, 'ind': 0, 'tointer': 'for the country records of all rows , most of them fuzzily match to united states .', 'tostr': 'most_eq { all_rows ; country ; united states } = true'} | most_eq { all_rows ; country ; united states } = true | for the country records of all rows , most of them fuzzily match to united states . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'country_3': 3, 'united states_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'country_3': 'country', 'united states_4': 'united states'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'country_3': [0], 'united states_4': [0]} | ['place', 'player', 'country', 'score', 'to par'] | [['1', 'chris dimarco', 'united states', '65 + 69 = 134', '- 10'], ['t2', 'phil mickelson', 'united states', '67 + 69 = 136', '- 8'], ['t2', 'tiger woods', 'united states', '70 + 66 = 136', '- 8'], ['t4', 'ángel cabrera', 'argentina', '66 + 71 = 137', '- 7'], ['t4', 'david duval', 'united states', '71 + 66 = 137', '- 7'], ['t4', 'toshimitsu izawa', 'japan', '71 + 66 = 137', '- 7'], ['t4', 'lee janzen', 'united states', '67 + 70 = 137', '- 7'], ['t4', 'steve stricker', 'united states', '66 + 71 = 137', '- 7'], ['t9', 'mark calcavecchia', 'united states', '72 + 66 = 138', '- 6'], ['t9', 'josé maría olazábal', 'spain', '70 + 68 = 138', '- 6'], ['t9', 'kirk triplett', 'united states', '68 + 70 = 138', '- 6']] |
united states house of representatives elections , 1954 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1954 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1342013-4.html.csv | count | of the incumbent who were were first elected before 1940 in the 1954 united states house of representatives elections , two of them were elected . | {'scope': 'subset', 'criterion': 'fuzzily_match', 'value': 'elected', 'result': '2', 'col': '5', 'subset': {'col': '4', 'criterion': 'less_than', 'value': '1940'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_less', 'args': ['all_rows', 'first elected', '1940'], 'result': None, 'ind': 0, 'tostr': 'filter_less { all_rows ; first elected ; 1940 }', 'tointer': 'select the rows whose first elected record is less than 1940 .'}, 'result', 'elected'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose first elected record is less than 1940 . among these rows , select the rows whose result record fuzzily matches to elected .', 'tostr': 'filter_eq { filter_less { all_rows ; first elected ; 1940 } ; result ; elected }'}], 'result': '2', 'ind': 2, 'tostr': 'count { filter_eq { filter_less { all_rows ; first elected ; 1940 } ; result ; elected } }', 'tointer': 'select the rows whose first elected record is less than 1940 . among these rows , select the rows whose result record fuzzily matches to elected . the number of such rows is 2 .'}, '2'], 'result': True, 'ind': 3, 'tostr': 'eq { count { filter_eq { filter_less { all_rows ; first elected ; 1940 } ; result ; elected } } ; 2 } = true', 'tointer': 'select the rows whose first elected record is less than 1940 . among these rows , select the rows whose result record fuzzily matches to elected . the number of such rows is 2 .'} | eq { count { filter_eq { filter_less { all_rows ; first elected ; 1940 } ; result ; elected } } ; 2 } = true | select the rows whose first elected record is less than 1940 . among these rows , select the rows whose result record fuzzily matches to elected . the number of such rows is 2 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'count_2': 2, 'filter_str_eq_1': 1, 'filter_less_0': 0, 'all_rows_5': 5, 'first elected_6': 6, '1940_7': 7, 'result_8': 8, 'elected_9': 9, '2_10': 10} | {'eq_3': 'eq', 'result_4': 'true', 'count_2': 'count', 'filter_str_eq_1': 'filter_str_eq', 'filter_less_0': 'filter_less', 'all_rows_5': 'all_rows', 'first elected_6': 'first elected', '1940_7': '1940', 'result_8': 'result', 'elected_9': 'elected', '2_10': '2'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_str_eq_1': [2], 'filter_less_0': [1], 'all_rows_5': [0], 'first elected_6': [0], '1940_7': [0], 'result_8': [1], 'elected_9': [1], '2_10': [3]} | ['district', 'incumbent', 'party', 'first elected', 'result', 'candidates'] | [['arkansas 1', 'ezekiel c gathings', 'democratic', '1938', 're - elected', 'ezekiel c gathings ( d ) unopposed'], ['arkansas 2', 'wilbur mills', 'democratic', '1938', 're - elected', 'wilbur mills ( d ) unopposed'], ['arkansas 3', 'james william trimble', 'democratic', '1944', 're - elected', 'james william trimble ( d ) unopposed'], ['arkansas 4', 'oren harris', 'democratic', '1940', 're - elected', 'oren harris ( d ) unopposed'], ['arkansas 5', 'brooks hays', 'democratic', '1942', 're - elected', 'brooks hays ( d ) unopposed']] |
libertine ( song ) | https://en.wikipedia.org/wiki/Libertine_%28song%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15204733-2.html.csv | ordinal | the album version of libertine was the 3rd last version released . | {'row': '13', 'col': '5', 'order': '3', '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', 'year', '3'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; year ; 3 }'}, 'version'], 'result': 'album version', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; year ; 3 } ; version }'}, 'album version'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { nth_argmax { all_rows ; year ; 3 } ; version } ; album version } = true', 'tointer': 'select the row whose year record of all rows is 3rd maximum . the version record of this row is album version .'} | eq { hop { nth_argmax { all_rows ; year ; 3 } ; version } ; album version } = true | select the row whose year record of all rows is 3rd maximum . the version record of this row is album version . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'year_5': 5, '3_6': 6, 'version_7': 7, 'album version_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', 'year_5': 'year', '3_6': '3', 'version_7': 'version', 'album version_8': 'album version'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'year_5': [0], '3_6': [0], 'version_7': [1], 'album version_8': [2]} | ['version', 'length', 'album', 'remixed by', 'year'] | [['album version', '3:49', 'cendres de lune', 'laurent boutonnat', '1986'], ['single version', '3:30', '-', '-', '1986'], ['long version', '4:30', '-', 'laurent boutonnat', '1986'], ['instrumental', '3:31', 'les clips , music videos i', '-', '1986'], ['remix', '4:35', '-', 'laurent boutonnat', '1986'], ['new remix', '3:35', '-', 'thierry rogen', '1986'], ['soundtrack from the video', '3:22', 'les clips , music videos i', '-', '1986'], ['remix special club', '5:53', 'cendres de lune', 'laurent boutonnat', '1986'], ['live version ( recorded in 1989 )', '12:00', 'en concert', '-', '1989'], ['carnal sins remix', '7:00', 'dance remixes', 'laurent boutonnat', '1992'], ['live version ( recorded in 1996 )', '5:40', 'live à bercy', '-', '1996'], ['live version ( recorded in 2000 )', '0:30', 'mylenium tour', '-', '2000'], ['album version', '3:30', 'les mots', 'laurent boutonnat', '2001'], ['y - front remix', '4:02', 'remixes', 'y - front', '2003'], ['live version ( recorded in 2009 )', '5:35', 'n degree5 on tour', '-', '2009']] |
brecht wallis | https://en.wikipedia.org/wiki/Brecht_Wallis | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11286695-1.html.csv | majority | the majority of fights ended in a win result for brecht wallis . | {'scope': 'all', 'col': '2', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'win', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'result', 'win'], 'result': True, 'ind': 0, 'tointer': 'for the result records of all rows , most of them fuzzily match to win .', 'tostr': 'most_eq { all_rows ; result ; win } = true'} | most_eq { all_rows ; result ; win } = true | for the result records of all rows , most of them fuzzily match to win . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'result_3': 3, 'win_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'result_3': 'result', 'win_4': 'win'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'result_3': [0], 'win_4': [0]} | ['date', 'result', 'opponent', 'location', 'method'] | [['2013 - 04 - 27', 'win', 'martinis knyzelis', 'vilnius , lithuania', 'decision'], ['2007 - 06 - 25', 'loss', 'björn bregy', 'amsterdam , netherlands', 'decision ( unanimous )'], ['2007 - 05 - 04', 'win', 'paula mataele', 'bucharest , romania', 'ko ( straight punch )'], ['2007 - 05 - 04', 'win', 'errol zimmerman', 'bucharest , romania', 'decision ( majority )'], ['2007 - 05 - 04', 'win', 'doug viney', 'bucharest , romania', 'ko ( left roundhouse kick )'], ['2007 - 04 - 07', 'loss', 'errol zimmerman', 'tilburg , netherlands', 'decision'], ['2006 - 03 - 26', 'loss', 'lloyd van dams', 'tilburg , netherlands', 'decision ( unanimous )'], ['2005 - 10 - 02', 'loss', 'alexander ustinov', 'arnhem , netherlands', 'ko'], ['2005 - 09 - 16', 'loss', 'daniel ghiță', 'cluj - napoca , romania', 'decision ( unanimous )'], ['2005 - 02 - 05', 'win', 'alexander ustinov', 'romania', 'decision'], ['2004 - 11 - 12', 'win', 'aziz khattou', '-', 'decision ( unanimous )'], ['2004 - 11 - 04', 'draw', 'cătălin zmărăndescu', 'brașov , romania', 'decision'], ['2004 - 08 - 07', 'loss', 'mighty mo', 'las vegas , nevada , usa', 'ko ( right overhand )'], ['2004 - 08 - 07', 'win', 'jörgen kruth', 'las vegas , nevada , usa', 'decision ( unanimous )'], ['2004 - 08 - 07', 'win', 'carter williams', 'las vegas , nevada , usa', 'ko ( high kick )'], ['2004 - 02 - 14', 'win', 'rickard nordstrand', 'stockholm , sweden', 'tko ( corner stoppage )'], ['2004 - 02 - 14', 'win', 'petri reima', 'stockholm , sweden', 'decision ( majority )'], ['2004 - 02 - 14', 'win', 'johan mparmpagiannis', 'stockholm , sweden', 'tko ( fighter gave up )'], ['2003 - 04 - 06', 'win', 'jörgen kruth', 'zoetermeer , netherlands', 'extr decision ( majority )']] |
rick cheek | https://en.wikipedia.org/wiki/Rick_Cheek | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18727616-3.html.csv | majority | most of rick cheek 's matches ended in the first round . | {'scope': 'all', 'col': '6', 'most_or_all': 'most', 'criterion': 'equal', 'value': '1', 'subset': None} | {'func': 'most_eq', 'args': ['all_rows', 'round', '1'], 'result': True, 'ind': 0, 'tointer': 'for the round records of all rows , most of them are equal to 1 .', 'tostr': 'most_eq { all_rows ; round ; 1 } = true'} | most_eq { all_rows ; round ; 1 } = true | for the round records of all rows , most of them are equal to 1 . | 1 | 1 | {'most_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'round_3': 3, '1_4': 4} | {'most_eq_0': 'most_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'round_3': 'round', '1_4': '1'} | {'most_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'round_3': [0], '1_4': [0]} | ['res', 'record', 'opponent', 'method', 'event', 'round', 'time', 'location'] | [['loss', '4 - 4', 'mike hayes', 'submission ( verbal )', 'palace fighting championship : best of both worlds', '2', '1:01', 'lemoore , california , united states'], ['loss', '4 - 3', 'dave huckaba', 'submission ( armbar )', 'gladiator challenge 87 : collision course', '1', '0:37', 'roseville , california , united states'], ['loss', '4 - 2', 'buddy roberts', 'submission ( rear naked choke )', 'cage combat fighting championships : mayhem', '1', '0:52', 'santa rosa , california , united states'], ['win', '4 - 1', 'richard blake', 'ko ( punches )', 'cage combat fighting championships : annihilation', '1', '2:05', 'santa rosa , california , united states'], ['loss', '3 - 1', 'chase gormley', 'submission ( keylock )', 'gladiator challenge 73 : high noon', '2', '2:20', 'sacramento , california , united states'], ['win', '3 - 0', 'thomas rosser', 'tko ( punches )', 'gladiator challenge 63 : crackdown', '1', '1:15', 'south lake tahoe , california , united states'], ['win', '2 - 0', 'joe abouata', 'ko ( punch )', 'gladiator challenge 62 : sprawl or brawl', '1', '0:31', 'lakeport , california , united states'], ['win', '1 - 0', 'dave huckaba', 'tko ( punches )', 'gladiator challenge 57 : holiday beatings', '2', '1:35', 'sacramento , california , united states']] |
2008 - 09 segunda división b | https://en.wikipedia.org/wiki/2008%E2%80%9309_Segunda_Divisi%C3%B3n_B | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18160020-4.html.csv | comparative | in 2008-09 segunda division b , igor etxebarrieta had 8 less matches than daniel giménez . | {'row_1': '3', 'row_2': '4', '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', 'goalkeeper', 'igor etxebarrieta'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose goalkeeper record fuzzily matches to igor etxebarrieta .', 'tostr': 'filter_eq { all_rows ; goalkeeper ; igor etxebarrieta }'}, 'matches'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; goalkeeper ; igor etxebarrieta } ; matches }', 'tointer': 'select the rows whose goalkeeper record fuzzily matches to igor etxebarrieta . take the matches record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'goalkeeper', 'daniel giménez'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose goalkeeper record fuzzily matches to daniel giménez .', 'tostr': 'filter_eq { all_rows ; goalkeeper ; daniel giménez }'}, 'matches'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; goalkeeper ; daniel giménez } ; matches }', 'tointer': 'select the rows whose goalkeeper record fuzzily matches to daniel giménez . take the matches record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'less { hop { filter_eq { all_rows ; goalkeeper ; igor etxebarrieta } ; matches } ; hop { filter_eq { all_rows ; goalkeeper ; daniel giménez } ; matches } } = true', 'tointer': 'select the rows whose goalkeeper record fuzzily matches to igor etxebarrieta . take the matches record of this row . select the rows whose goalkeeper record fuzzily matches to daniel giménez . take the matches record of this row . the first record is less than the second record .'} | less { hop { filter_eq { all_rows ; goalkeeper ; igor etxebarrieta } ; matches } ; hop { filter_eq { all_rows ; goalkeeper ; daniel giménez } ; matches } } = true | select the rows whose goalkeeper record fuzzily matches to igor etxebarrieta . take the matches record of this row . select the rows whose goalkeeper record fuzzily matches to daniel giménez . take the matches 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, 'goalkeeper_7': 7, 'igor etxebarrieta_8': 8, 'matches_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'goalkeeper_11': 11, 'daniel giménez_12': 12, 'matches_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', 'goalkeeper_7': 'goalkeeper', 'igor etxebarrieta_8': 'igor etxebarrieta', 'matches_9': 'matches', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'goalkeeper_11': 'goalkeeper', 'daniel giménez_12': 'daniel giménez', 'matches_13': 'matches'} | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'goalkeeper_7': [0], 'igor etxebarrieta_8': [0], 'matches_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'goalkeeper_11': [1], 'daniel giménez_12': [1], 'matches_13': [3]} | ['goalkeeper', 'goals', 'matches', 'average', 'team'] | [['josé bermúdez', '18', '33', '0.55', 'cultural leonesa'], ['joel rodríguez', '24', '36', '0.67', 'celta b'], ['igor etxebarrieta', '21', '30', '0.7', 'lemona'], ['daniel giménez', '34', '38', '0.89', 'zamora'], ['miguel escalona', '34', '34', '1', 'guijuelo']] |
alien huang | https://en.wikipedia.org/wiki/Alien_Huang | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-23379776-6.html.csv | ordinal | a flight to yesterday was the third of these movies to be released . | {'row': '3', 'col': '1', 'order': '3', 'col_other': '2', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'year', '3'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; year ; 3 }'}, 'title of movie'], 'result': 'a flight to yesterday 《 飛往昨天的ci006 》', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; year ; 3 } ; title of movie }'}, 'a flight to yesterday 《 飛往昨天的ci006 》'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { nth_argmin { all_rows ; year ; 3 } ; title of movie } ; a flight to yesterday 《 飛往昨天的ci006 》 } = true', 'tointer': 'select the row whose year record of all rows is 3rd minimum . the title of movie record of this row is a flight to yesterday 《 飛往昨天的ci006 》 .'} | eq { hop { nth_argmin { all_rows ; year ; 3 } ; title of movie } ; a flight to yesterday 《 飛往昨天的ci006 》 } = true | select the row whose year record of all rows is 3rd minimum . the title of movie record of this row is a flight to yesterday 《 飛往昨天的ci006 》 . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'year_5': 5, '3_6': 6, 'title of movie_7': 7, 'a flight to yesterday 《飛往昨天的ci006》_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmin_0': 'nth_argmin', 'all_rows_4': 'all_rows', 'year_5': 'year', '3_6': '3', 'title of movie_7': 'title of movie', 'a flight to yesterday 《飛往昨天的ci006》_8': 'a flight to yesterday 《 飛往昨天的ci006 》'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'year_5': [0], '3_6': [0], 'title of movie_7': [1], 'a flight to yesterday 《飛往昨天的ci006》_8': [2]} | ['year', 'title of movie', 'name of role', 'nature of role', 'co - artists', 'location'] | [['2002', 'wild 《 狂放 》', 'lin yi - jie 林益捷', 'male lead', 'junior han , josephine anan xu', 'taiwan'], ['2002', 'holiday dreaming 《 夢遊夏威夷 》', 'xiao gui 小鬼', 'second male lead', 'tony yang , janine chang', 'taiwan'], ['2006', 'a flight to yesterday 《 飛往昨天的ci006 》', 'li zheng - fei 李正非', 'male lead', 'yuchen zhang', 'taiwan'], ['2007', 'burn ! motorbike 《 燃燒吧 ！ 機車 》', 'hu di - ni 胡迪尼', 'male lead', 'megan lai', 'taiwan'], ['2009', 'black tide 《 黑潮 》', 'xiao gui 小鬼', 'male lead', 'shaoxiang li , jiaqing chu', 'taiwan'], ['2011', 'already famous 《 一泡而紅 》', 'christopher 阿盛', 'male lead', 'michelle chong', 'singapore']] |
1985 - 86 segunda división | https://en.wikipedia.org/wiki/1985%E2%80%9386_Segunda_Divisi%C3%B3n | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12117808-2.html.csv | aggregation | for the 1985-86 segunda division the total combined number of wins was 286 . | {'scope': 'all', 'col': '5', 'type': 'sum', 'result': '286', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': ['all_rows', 'wins'], 'result': '286', 'ind': 0, 'tostr': 'sum { all_rows ; wins }'}, '286'], 'result': True, 'ind': 1, 'tostr': 'round_eq { sum { all_rows ; wins } ; 286 } = true', 'tointer': 'the sum of the wins record of all rows is 286 .'} | round_eq { sum { all_rows ; wins } ; 286 } = true | the sum of the wins record of all rows is 286 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'sum_0': 0, 'all_rows_3': 3, 'wins_4': 4, '286_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'sum_0': 'sum', 'all_rows_3': 'all_rows', 'wins_4': 'wins', '286_5': '286'} | {'eq_1': [2], 'result_2': [], 'sum_0': [1], 'all_rows_3': [0], 'wins_4': [0], '286_5': [1]} | ['position', 'club', 'played', 'points', 'wins', 'draws', 'losses', 'goals for', 'goals against', 'goal difference'] | [['1', 'real murcia', '38', '52 + 14', '22', '8', '8', '66', '30', '+ 36'], ['2', 'ce sabadell fc', '38', '46 + 8', '15', '16', '7', '49', '30', '+ 19'], ['3', 'rcd mallorca', '38', '46 + 8', '18', '10', '10', '54', '37', '+ 17'], ['4', 'elche cf', '38', '45 + 7', '19', '7', '12', '44', '36', '+ 8'], ['5', 'cd castellón', '38', '45 + 7', '18', '9', '11', '61', '42', '+ 19'], ['6', 'deportivo de la coruña', '38', '45 + 7', '17', '11', '10', '52', '38', '+ 14'], ['7', 'bilbao athletic', '38', '44 + 6', '18', '8', '12', '53', '51', '+ 2'], ['8', 'real oviedo', '38', '44 + 6', '17', '10', '11', '45', '36', '+ 9'], ['9', 'recreativo de huelva', '38', '42 + 4', '17', '8', '13', '63', '55', '+ 8'], ['10', 'sestao', '38', '39 + 1', '16', '7', '15', '49', '45', '+ 4'], ['11', 'cd málaga', '38', '37 - 1', '13', '11', '14', '46', '47', '- 1'], ['12', 'castilla cf', '38', '34 - 4', '14', '6', '18', '45', '61', '- 16'], ['13', 'barcelona atlètic', '38', '34 - 4', '13', '8', '17', '41', '48', '- 7'], ['14', 'cartagena fc', '38', '34 - 4', '10', '14', '14', '37', '41', '- 4'], ['15', 'rayo vallecano', '38', '33 - 5', '12', '9', '17', '46', '54', '- 8'], ['16', 'cd logroñés', '38', '33 - 5', '10', '13', '15', '46', '44', '+ 2'], ['17', 'albacete bp', '38', '31 - 7', '12', '7', '19', '35', '62', '- 27'], ['18', 'deportivo aragón', '38', '28 - 10', '9', '10', '19', '35', '55', '- 20'], ['19', 'cd tenerife', '38', '26 - 12', '8', '10', '20', '43', '59', '- 16'], ['20', 'atlético madrileño', '38', '22 - 16', '8', '6', '24', '27', '66', '- 39']] |
grand tour ( cycling ) | https://en.wikipedia.org/wiki/Grand_Tour_%28cycling%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1286819-7.html.csv | comparative | marino lejarreta had a higher final position in the giro in the second year he competed than in the first year he competed . | {'row_1': '2', 'row_2': '3', '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', 'rider', 'marino lejarreta ( 3 )'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose rider record fuzzily matches to marino lejarreta ( 3 ) .', 'tostr': 'filter_eq { all_rows ; rider ; marino lejarreta ( 3 ) }'}, 'final position - giro'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; rider ; marino lejarreta ( 3 ) } ; final position - giro }', 'tointer': 'select the rows whose rider record fuzzily matches to marino lejarreta ( 3 ) . take the final position - giro record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'rider', 'marino lejarreta ( 2 )'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose rider record fuzzily matches to marino lejarreta ( 2 ) .', 'tostr': 'filter_eq { all_rows ; rider ; marino lejarreta ( 2 ) }'}, 'final position - giro'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; rider ; marino lejarreta ( 2 ) } ; final position - giro }', 'tointer': 'select the rows whose rider record fuzzily matches to marino lejarreta ( 2 ) . take the final position - giro record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'less { hop { filter_eq { all_rows ; rider ; marino lejarreta ( 3 ) } ; final position - giro } ; hop { filter_eq { all_rows ; rider ; marino lejarreta ( 2 ) } ; final position - giro } } = true', 'tointer': 'select the rows whose rider record fuzzily matches to marino lejarreta ( 3 ) . take the final position - giro record of this row . select the rows whose rider record fuzzily matches to marino lejarreta ( 2 ) . take the final position - giro record of this row . the first record is less than the second record .'} | less { hop { filter_eq { all_rows ; rider ; marino lejarreta ( 3 ) } ; final position - giro } ; hop { filter_eq { all_rows ; rider ; marino lejarreta ( 2 ) } ; final position - giro } } = true | select the rows whose rider record fuzzily matches to marino lejarreta ( 3 ) . take the final position - giro record of this row . select the rows whose rider record fuzzily matches to marino lejarreta ( 2 ) . take the final position - giro 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, 'rider_7': 7, 'marino lejarreta (3)_8': 8, 'final position - giro_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'rider_11': 11, 'marino lejarreta (2)_12': 12, 'final position - giro_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', 'rider_7': 'rider', 'marino lejarreta (3)_8': 'marino lejarreta ( 3 )', 'final position - giro_9': 'final position - giro', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'rider_11': 'rider', 'marino lejarreta (2)_12': 'marino lejarreta ( 2 )', 'final position - giro_13': 'final position - giro'} | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'rider_7': [0], 'marino lejarreta (3)_8': [0], 'final position - giro_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'rider_11': [1], 'marino lejarreta (2)_12': [1], 'final position - giro_13': [3]} | ['rider', 'year', 'final position - giro', 'final position - tour', 'final position - vuelta'] | [['eduardo chozas', '1990', '11', '6', '33'], ['marino lejarreta ( 3 )', '1990', '7', '5', '55'], ['marino lejarreta ( 2 )', '1989', '10', '5', '20'], ['luis - javier lukin', '1988', '32', '82', '60'], ['marino lejarreta', '1987', '4', '10', '34'], ['philippe poissonier', '1985', '86', '90', '66'], ['jose luis uribezubia', '1971', '29', '50', '27'], ['jose manuel fuente', '1971', '39', '72', '54'], ['federico bahamontes', '1958', '17', '8', '6'], ['pierino baffi', '1958', '23', '63', '37'], ['mario baroni', '1957', '74', '53', '46'], ['gastone nencini', '1957', '1', '6', '9'], ['bernardo ruiz ( 3 )', '1957', '55', '24', '3'], ['arrigo padovan', '1956', '12', '26', '19'], ['bernardo ruiz ( 2 )', '1956', '38', '70', '31'], ['josã serra', '1956', '26', '81', '9'], ['raphael geminiani', '1955', '4', '6', '3'], ['bernardo ruiz', '1955', '28', '22', '14'], ['louis caput', '1955', '68', '54', '55']] |
nature of america | https://en.wikipedia.org/wiki/Nature_of_America | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15635768-1.html.csv | majority | avery dennison printed most of the nature of america stamp sheets from april 6 , 1999 to september 1 , 2010 . | {'scope': 'all', 'col': '6', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'avery dennison', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'printer', 'avery dennison'], 'result': True, 'ind': 0, 'tointer': 'for the printer records of all rows , most of them fuzzily match to avery dennison .', 'tostr': 'most_eq { all_rows ; printer ; avery dennison } = true'} | most_eq { all_rows ; printer ; avery dennison } = true | for the printer records of all rows , most of them fuzzily match to avery dennison . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'printer_3': 3, 'avery dennison_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'printer_3': 'printer', 'avery dennison_4': 'avery dennison'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'printer_3': [0], 'avery dennison_4': [0]} | ['ecosystem', 'date of issue', 'place of issue', 'no stamps in sheet', 'face value', 'printer'] | [['sonoran desert', 'april 6 , 1999', 'tucson , arizona', '10', '33', 'banknote corporation of america'], ['pacific coast rain forest', 'march 28 , 2000', 'seattle , washington', '10', '33', 'banknote corporation of america'], ['great plains prairie', 'march 29 , 2001', 'lincoln , nebraska', '10', '34', 'ashton - potter ( usa ) ltd'], ['longleaf pine forest', 'april 26 , 2002', 'tallahassee , florida', '10', '34', 'american packaging corp for sennet security'], ['arctic tundra', 'july 1 , 2003', 'fairbanks , alaska', '10', '37', 'banknote corporation of america'], ['pacific coral reef', 'jan 2 , 2004', 'honolulu , hawaii', '10', '37', 'avery dennison'], ['northeast deciduous forest', 'march 3 , 2005', 'new york , new york', '10', '37', 'avery dennison'], ['southern florida wetland', 'october 5 , 2006', 'naples , florida', '10', '39', 'avery dennison'], ['alpine tundra', 'august 28 , 2007', 'estes park , colorado', '10', '41', 'sennett security products'], ['great lakes dunes', 'october 2 , 2008', 'empire , michigan', '10', '42', 'avery dennison'], ['kelp forest', 'october 1 , 2009', 'monterey , california', '10', '44', 'avery dennison'], ['hawaiian rain forest', 'september 1 , 2010', 'hawaii national park', '10', '44', 'banknote corporation of america , inc']] |
united states european command | https://en.wikipedia.org/wiki/United_States_European_Command | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1711234-1.html.csv | unique | the only person that served in the marine corps was general jones . | {'scope': 'all', 'row': '13', 'col': '2', 'col_other': '1', 'criterion': 'equal', 'value': 'us marine corps', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'branch', 'us marine corps'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose branch record fuzzily matches to us marine corps .', 'tostr': 'filter_eq { all_rows ; branch ; us marine corps }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; branch ; us marine corps } }', 'tointer': 'select the rows whose branch record fuzzily matches to us marine corps . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'branch', 'us marine corps'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose branch record fuzzily matches to us marine corps .', 'tostr': 'filter_eq { all_rows ; branch ; us marine corps }'}, 'name'], 'result': 'general james l jones', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; branch ; us marine corps } ; name }'}, 'general james l jones'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; branch ; us marine corps } ; name } ; general james l jones }', 'tointer': 'the name record of this unqiue row is general james l jones .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; branch ; us marine corps } } ; eq { hop { filter_eq { all_rows ; branch ; us marine corps } ; name } ; general james l jones } } = true', 'tointer': 'select the rows whose branch record fuzzily matches to us marine corps . there is only one such row in the table . the name record of this unqiue row is general james l jones .'} | and { only { filter_eq { all_rows ; branch ; us marine corps } } ; eq { hop { filter_eq { all_rows ; branch ; us marine corps } ; name } ; general james l jones } } = true | select the rows whose branch record fuzzily matches to us marine corps . there is only one such row in the table . the name record of this unqiue row is general james l jones . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'branch_7': 7, 'us marine corps_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'name_9': 9, 'general james l jones_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'branch_7': 'branch', 'us marine corps_8': 'us marine corps', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'name_9': 'name', 'general james l jones_10': 'general james l jones'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'branch_7': [0], 'us marine corps_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'name_9': [2], 'general james l jones_10': [3]} | ['name', 'branch', 'term began', 'term ended', 'time in office'] | [['general matthew ridgway', 'us army', '30 may 1952', '11 july 1953', 'days'], ['general alfred gruenther', 'us army', '1 july 1953', '20 november 1956', 'days'], ['general lauris norstad', 'us air force', '20 november 1956', '1 january 1963', 'days'], ['general lyman lemnitzer', 'us army', '1 january 1963', '1 july 1969', 'days'], ['general andrew goodpaster', 'us army', '1 july 1969', '15 december 1974', 'days'], ['general alexander m haig , jr', 'us army', '15 december 1974', '1 july 1979', 'days'], ['general bernard w rogers', 'us army', '1 july 1979', '26 june 1987', 'days'], ['general john galvin', 'us army', '26 june 1987', '23 june 1992', 'days'], ['general john shalikashvili', 'us army', '23 june 1992', '22 october 1993', 'days'], ['general george joulwan', 'us army', '22 october 1993', '11 july 1997', 'days'], ['general wesley clark', 'us army', '11 july 1997', '3 may 2000', 'days'], ['general joseph ralston', 'us air force', '3 may 2000', '17 january 2003', 'days'], ['general james l jones', 'us marine corps', '17 january 2003', '7 december 2006', 'days'], ['general bantz j craddock', 'us army', '7 december 2006', '30 june 2009', 'days'], ['admiral james g stavridis', 'us navy', '30 june 2009', '10 may 2013', 'days'], ['general philip m breedlove', 'us air force', '10 may 2013', 'incumbent', 'days']] |
1993 new york jets season | https://en.wikipedia.org/wiki/1993_New_York_Jets_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10918196-1.html.csv | superlative | in the 1993 new york jets season , the jets scored the most points in a game against the new england patriots . | {'scope': 'all', 'col_superlative': '4', 'row_superlative': '3', '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', 'result'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; result }'}, 'opponent'], 'result': 'new england patriots', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; result } ; opponent }'}, 'new england patriots'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { argmax { all_rows ; result } ; opponent } ; new england patriots } = true', 'tointer': 'select the row whose result record of all rows is maximum . the opponent record of this row is new england patriots .'} | eq { hop { argmax { all_rows ; result } ; opponent } ; new england patriots } = true | select the row whose result record of all rows is maximum . the opponent record of this row is new england patriots . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'result_5': 5, 'opponent_6': 6, 'new england patriots_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'result_5': 'result', 'opponent_6': 'opponent', 'new england patriots_7': 'new england patriots'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'result_5': [0], 'opponent_6': [1], 'new england patriots_7': [2]} | ['week', 'date', 'opponent', 'result', 'game site', 'attendance'] | [['1', '1993 - 09 - 05', 'denver broncos', 'l 26 - 20', 'the meadowlands', '68130'], ['2', '1993 - 09 - 12', 'miami dolphins', 'w 24 - 14', 'joe robbie stadium', '70314'], ['4', '1993 - 09 - 26', 'new england patriots', 'w 45 - 7', 'the meadowlands', '64836'], ['5', '1993 - 10 - 03', 'philadelphia eagles', 'l 35 - 30', 'the meadowlands', '72593'], ['6', '1993 - 10 - 10', 'los angeles raiders', 'l 24 - 20', 'los angeles memorial coliseum', '41627'], ['8', '1993 - 10 - 24', 'buffalo bills', 'l 19 - 10', 'the meadowlands', '71541'], ['9', '1993 - 10 - 31', 'new york giants', 'w 10 - 6', 'giants stadium', '71659'], ['10', '1993 - 11 - 07', 'miami dolphins', 'w 27 - 10', 'the meadowlands', '71306'], ['11', '1993 - 11 - 14', 'indianapolis colts', 'w 31 - 17', 'rca dome', '47351'], ['12', '1993 - 11 - 21', 'cincinnati bengals', 'w 17 - 12', 'the meadowlands', '64264'], ['13', '1993 - 11 - 28', 'new england patriots', 'w 6 - 0', 'foxboro stadium', '42810'], ['14', '1993 - 12 - 05', 'indianapolis colts', 'l 9 - 6', 'the meadowlands', '45799'], ['15', '1993 - 12 - 11', 'washington redskins', 'w 3 - 0', 'robert f kennedy memorial stadium', '47970'], ['16', '1993 - 12 - 18', 'dallas cowboys', 'l 28 - 7', 'the meadowlands', '73233'], ['17', '1993 - 12 - 26', 'buffalo bills', 'l 16 - 14', 'rich stadium', '70817'], ['18', '1994 - 01 - 02', 'houston oilers', 'l 24 - 0', 'houston astrodome', '61040']] |
1948 vfl season | https://en.wikipedia.org/wiki/1948_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10809529-12.html.csv | majority | all games of the 1948 vfl season were played on the 10th of july . | {'scope': 'all', 'col': '7', 'most_or_all': 'all', 'criterion': 'fuzzily_match', 'value': '10 july', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'date', '10 july'], 'result': True, 'ind': 0, 'tointer': 'for the date records of all rows , all of them fuzzily match to 10 july .', 'tostr': 'all_eq { all_rows ; date ; 10 july } = true'} | all_eq { all_rows ; date ; 10 july } = true | for the date records of all rows , all of them fuzzily match to 10 july . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'date_3': 3, '10 july_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'date_3': 'date', '10 july_4': '10 july'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'date_3': [0], '10 july_4': [0]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['richmond', '21.18 ( 144 )', 'south melbourne', '9.13 ( 67 )', 'punt road oval', '21000', '10 july 1948'], ['essendon', '13.13 ( 91 )', 'melbourne', '9.11 ( 65 )', 'windy hill', '17000', '10 july 1948'], ['collingwood', '19.13 ( 127 )', 'north melbourne', '10.11 ( 71 )', 'victoria park', '19500', '10 july 1948'], ['carlton', '17.10 ( 112 )', 'hawthorn', '10.9 ( 69 )', 'princes park', '9000', '10 july 1948'], ['st kilda', '7.11 ( 53 )', 'footscray', '13.13 ( 91 )', 'junction oval', '7000', '10 july 1948'], ['geelong', '13.9 ( 87 )', 'fitzroy', '9.17 ( 71 )', 'kardinia park', '18500', '10 july 1948']] |
carlos castro borja | https://en.wikipedia.org/wiki/Carlos_Castro_Borja | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15290075-1.html.csv | majority | for carlos castro borja , when the competition was a 1994 fifa world cup qualification , the venue was estadio cuscatlán , san salvador , el salvador most of the time . | {'scope': 'subset', 'col': '2', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'estadio cuscatlán , san salvador , el salvador', 'subset': {'col': '5', 'criterion': 'equal', 'value': '1994 fifa world cup qualification'}} | {'func': 'most_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'competition', '1994 fifa world cup qualification'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; competition ; 1994 fifa world cup qualification }', 'tointer': 'select the rows whose competition record fuzzily matches to 1994 fifa world cup qualification .'}, 'venue', 'estadio cuscatlán , san salvador , el salvador'], 'result': True, 'ind': 1, 'tointer': 'select the rows whose competition record fuzzily matches to 1994 fifa world cup qualification . for the venue records of these rows , most of them fuzzily match to estadio cuscatlán , san salvador , el salvador .', 'tostr': 'most_eq { filter_eq { all_rows ; competition ; 1994 fifa world cup qualification } ; venue ; estadio cuscatlán , san salvador , el salvador } = true'} | most_eq { filter_eq { all_rows ; competition ; 1994 fifa world cup qualification } ; venue ; estadio cuscatlán , san salvador , el salvador } = true | select the rows whose competition record fuzzily matches to 1994 fifa world cup qualification . for the venue records of these rows , most of them fuzzily match to estadio cuscatlán , san salvador , el salvador . | 2 | 2 | {'most_str_eq_1': 1, 'result_2': 2, 'filter_str_eq_0': 0, 'all_rows_3': 3, 'competition_4': 4, '1994 fifa world cup qualification_5': 5, 'venue_6': 6, 'estadio cuscatlán , san salvador , el salvador_7': 7} | {'most_str_eq_1': 'most_str_eq', 'result_2': 'true', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_3': 'all_rows', 'competition_4': 'competition', '1994 fifa world cup qualification_5': '1994 fifa world cup qualification', 'venue_6': 'venue', 'estadio cuscatlán , san salvador , el salvador_7': 'estadio cuscatlán , san salvador , el salvador'} | {'most_str_eq_1': [2], 'result_2': [], 'filter_str_eq_0': [1], 'all_rows_3': [0], 'competition_4': [0], '1994 fifa world cup qualification_5': [0], 'venue_6': [1], 'estadio cuscatlán , san salvador , el salvador_7': [1]} | ['date', 'venue', 'score', 'result', 'competition'] | [['18 february 1992', 'estadio cuscatlán , san salvador , el salvador', '1 - 0', '2 - 0', 'friendly match'], ['19 july 1992', 'estadio rigoberto lópez , managua , nicaragua', '3 - 0', '5 - 0', '1994 fifa world cup qualification'], ['23 july 1992', 'estadio cuscatlán , san salvador , el salvador', '1 - 0', '5 - 1', '1994 fifa world cup qualification'], ['23 july 1992', 'estadio cuscatlán , san salvador , el salvador', '3 - 0', '5 - 1', '1994 fifa world cup qualification'], ['4 april 1993', 'estadio cuscatlán , san salvador , el salvador', '1 - 0', '2 - 1', '1994 fifa world cup qualification'], ['23 july 2000', 'estadio cuscatlán , san salvador , el salvador', '2 - 1', '7 - 1', '2002 fifa world cup qualification']] |
miracle ( celine dion album ) | https://en.wikipedia.org/wiki/Miracle_%28Celine_Dion_album%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1097545-4.html.csv | unique | japan had the only release of the album in december . | {'scope': 'all', 'row': '10', 'col': '2', 'col_other': '1', 'criterion': 'fuzzily_match', 'value': 'december', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'date', 'december'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose date record fuzzily matches to december .', 'tostr': 'filter_eq { all_rows ; date ; december }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; date ; december } }', 'tointer': 'select the rows whose date record fuzzily matches to december . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'date', 'december'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose date record fuzzily matches to december .', 'tostr': 'filter_eq { all_rows ; date ; december }'}, 'region'], 'result': 'japan', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; date ; december } ; region }'}, 'japan'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; date ; december } ; region } ; japan }', 'tointer': 'the region record of this unqiue row is japan .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; date ; december } } ; eq { hop { filter_eq { all_rows ; date ; december } ; region } ; japan } } = true', 'tointer': 'select the rows whose date record fuzzily matches to december . there is only one such row in the table . the region record of this unqiue row is japan .'} | and { only { filter_eq { all_rows ; date ; december } } ; eq { hop { filter_eq { all_rows ; date ; december } ; region } ; japan } } = true | select the rows whose date record fuzzily matches to december . there is only one such row in the table . the region record of this unqiue row is japan . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'date_7': 7, 'december_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'region_9': 9, 'japan_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'date_7': 'date', 'december_8': 'december', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'region_9': 'region', 'japan_10': 'japan'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'date_7': [0], 'december_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'region_9': [2], 'japan_10': [3]} | ['region', 'date', 'label', 'format', 'catalog'] | [['europe', 'october 11 , 2004', 'sony bmg , columbia', 'cd', 'col 518748 9'], ['europe', 'october 11 , 2004', 'sony bmg , columbia', 'cd / dvd', 'col 518748 7'], ['united states', 'october 12 , 2004', 'epic', 'cd', '5187482'], ['united states', 'october 12 , 2004', 'epic', 'cd / dvd', '5187487'], ['canada', 'october 12 , 2004', 'sony bmg , columbia', 'cd', '5187482'], ['canada', 'october 12 , 2004', 'sony bmg , columbia', 'cd / dvd', '5187487'], ['australia', 'october 15 , 2004', 'sony bmg , epic', 'cd', '5187482'], ['australia', 'october 15 , 2004', 'sony bmg , epic', 'cd / dvd', '5187487'], ['south korea', 'november 16 , 2004', 'sony bmg , columbia', 'cd', 'cpk - 3337'], ['japan', 'december 22 , 2004', 'sony music japan , epic', 'cd', '5187482']] |
melodifestivalen 2011 | https://en.wikipedia.org/wiki/Melodifestivalen_2011 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-27994983-8.html.csv | comparative | regarding their participation in the melodifestivalen 2011 , the playtones had a higher total score compared to the artist brolle . | {'row_1': '5', 'row_2': '4', 'col': '7', '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', 'artist', 'the playtones'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose artist record fuzzily matches to the playtones .', 'tostr': 'filter_eq { all_rows ; artist ; the playtones }'}, 'total'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; artist ; the playtones } ; total }', 'tointer': 'select the rows whose artist record fuzzily matches to the playtones . take the total record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'artist', 'brolle'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose artist record fuzzily matches to brolle .', 'tostr': 'filter_eq { all_rows ; artist ; brolle }'}, 'total'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; artist ; brolle } ; total }', 'tointer': 'select the rows whose artist record fuzzily matches to brolle . take the total record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'greater { hop { filter_eq { all_rows ; artist ; the playtones } ; total } ; hop { filter_eq { all_rows ; artist ; brolle } ; total } } = true', 'tointer': 'select the rows whose artist record fuzzily matches to the playtones . take the total record of this row . select the rows whose artist record fuzzily matches to brolle . take the total record of this row . the first record is greater than the second record .'} | greater { hop { filter_eq { all_rows ; artist ; the playtones } ; total } ; hop { filter_eq { all_rows ; artist ; brolle } ; total } } = true | select the rows whose artist record fuzzily matches to the playtones . take the total record of this row . select the rows whose artist record fuzzily matches to brolle . take the total 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, 'artist_7': 7, 'the playtones_8': 8, 'total_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'artist_11': 11, 'brolle_12': 12, 'total_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', 'artist_7': 'artist', 'the playtones_8': 'the playtones', 'total_9': 'total', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'artist_11': 'artist', 'brolle_12': 'brolle', 'total_13': 'total'} | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'artist_7': [0], 'the playtones_8': [0], 'total_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'artist_11': [1], 'brolle_12': [1], 'total_13': [3]} | ['draw', 'artist', 'song ( english translation )', 'lyrics ( l ) / music ( m )', 'juries', 'viewers', 'total', 'place'] | [['1', 'danny saucedo', 'in the club', 'figge boström , peter boström , danny saucedo', '79', '70', '149', '2'], ['2', 'sara varga', 'spring för livet ( run for your life )', 'sara varga , figge boström', '23', '27', '50', '9'], ['3', 'the moniker', 'oh my god !', 'daniel karlsson', '55', '69', '124', '3'], ['4', 'brolle', '7 days and 7 nights', 'brolle ( m & l )', '8', '21', '29', '10'], ['9', 'the playtones', 'the king', 'fredrik kempe , peter kvint ( m & l )', '46', '33', '79', '6']] |
hegang | https://en.wikipedia.org/wiki/Hegang | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1834138-2.html.csv | unique | luobei county is the only county or district that has a density of 33 . | {'scope': 'all', 'row': '8', 'col': '7', 'col_other': '1', 'criterion': 'equal', 'value': '33', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'density', '33'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose density record is equal to 33 .', 'tostr': 'filter_eq { all_rows ; density ; 33 }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; density ; 33 } }', 'tointer': 'select the rows whose density record is equal to 33 . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'density', '33'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose density record is equal to 33 .', 'tostr': 'filter_eq { all_rows ; density ; 33 }'}, 'english name'], 'result': 'luobei county', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; density ; 33 } ; english name }'}, 'luobei county'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; density ; 33 } ; english name } ; luobei county }', 'tointer': 'the english name record of this unqiue row is luobei county .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; density ; 33 } } ; eq { hop { filter_eq { all_rows ; density ; 33 } ; english name } ; luobei county } } = true', 'tointer': 'select the rows whose density record is equal to 33 . there is only one such row in the table . the english name record of this unqiue row is luobei county .'} | and { only { filter_eq { all_rows ; density ; 33 } } ; eq { hop { filter_eq { all_rows ; density ; 33 } ; english name } ; luobei county } } = true | select the rows whose density record is equal to 33 . there is only one such row in the table . the english name record of this unqiue row is luobei county . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_eq_0': 0, 'all_rows_6': 6, 'density_7': 7, '33_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'english name_9': 9, 'luobei county_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_eq_0': 'filter_eq', 'all_rows_6': 'all_rows', 'density_7': 'density', '33_8': '33', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'english name_9': 'english name', 'luobei county_10': 'luobei county'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_eq_0': [1, 2], 'all_rows_6': [0], 'density_7': [0], '33_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'english name_9': [2], 'luobei county_10': [3]} | ['english name', 'simplified', 'traditional', 'pinyin', 'area', 'population', 'density'] | [['english name', 'simplified', 'traditional', 'pinyin', 'area', 'population', 'density'], ['xingshan district', '兴山区', '興山區', 'xīngshān qū', '27', '44803', '1659'], ['xiangyang district', '向阳区', '向陽區', 'xiàngyáng qū', '9', '110916', '12324'], ['gongnong district', '工农区', '工農區', 'gōngnóng qū', '11', '140070', '12734'], ['nanshan district', '南山区', '南山區', 'nánshān qū', '30', '119047', '3968'], ["xing ' an district", '兴安区', '興安區', "xīng ' ān qū", '27', '74396', '2755'], ['dongshan district', '东山区', '東山區', 'dōngshān qū', '4575', '175239', '38'], ['luobei county', '萝北县', '蘿北縣', 'luóběi xiàn', '6761', '220131', '33'], ['suibin county', '绥滨县', '綏濱縣', 'suíbīn xiàn', '3344', '174063', '52']] |
mobile telephony in africa | https://en.wikipedia.org/wiki/Mobile_telephony_in_Africa | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-29395291-2.html.csv | comparative | glo mobile has a greater number of subscribers over mobilis . | {'row_1': '5', 'row_2': '10', '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', 'provider', 'glo mobile'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose provider record fuzzily matches to glo mobile .', 'tostr': 'filter_eq { all_rows ; provider ; glo mobile }'}, 'subscribers ( 2006 ) ( thousands )'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; provider ; glo mobile } ; subscribers ( 2006 ) ( thousands ) }', 'tointer': 'select the rows whose provider record fuzzily matches to glo mobile . take the subscribers ( 2006 ) ( thousands ) record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'provider', 'mobilis'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose provider record fuzzily matches to mobilis .', 'tostr': 'filter_eq { all_rows ; provider ; mobilis }'}, 'subscribers ( 2006 ) ( thousands )'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; provider ; mobilis } ; subscribers ( 2006 ) ( thousands ) }', 'tointer': 'select the rows whose provider record fuzzily matches to mobilis . take the subscribers ( 2006 ) ( thousands ) record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'greater { hop { filter_eq { all_rows ; provider ; glo mobile } ; subscribers ( 2006 ) ( thousands ) } ; hop { filter_eq { all_rows ; provider ; mobilis } ; subscribers ( 2006 ) ( thousands ) } } = true', 'tointer': 'select the rows whose provider record fuzzily matches to glo mobile . take the subscribers ( 2006 ) ( thousands ) record of this row . select the rows whose provider record fuzzily matches to mobilis . take the subscribers ( 2006 ) ( thousands ) record of this row . the first record is greater than the second record .'} | greater { hop { filter_eq { all_rows ; provider ; glo mobile } ; subscribers ( 2006 ) ( thousands ) } ; hop { filter_eq { all_rows ; provider ; mobilis } ; subscribers ( 2006 ) ( thousands ) } } = true | select the rows whose provider record fuzzily matches to glo mobile . take the subscribers ( 2006 ) ( thousands ) record of this row . select the rows whose provider record fuzzily matches to mobilis . take the subscribers ( 2006 ) ( thousands ) 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, 'provider_7': 7, 'glo mobile_8': 8, 'subscribers (2006) (thousands)_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'provider_11': 11, 'mobilis_12': 12, 'subscribers (2006) (thousands)_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', 'provider_7': 'provider', 'glo mobile_8': 'glo mobile', 'subscribers (2006) (thousands)_9': 'subscribers ( 2006 ) ( thousands )', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'provider_11': 'provider', 'mobilis_12': 'mobilis', 'subscribers (2006) (thousands)_13': 'subscribers ( 2006 ) ( thousands )'} | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'provider_7': [0], 'glo mobile_8': [0], 'subscribers (2006) (thousands)_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'provider_11': [1], 'mobilis_12': [1], 'subscribers (2006) (thousands)_13': [3]} | ['provider', 'country', 'subscribers ( 2005 ) ( thousands )', 'subscribers ( 2006 ) ( thousands )', 'growth %'] | [['airtel', 'kenya , uganda', '37600', '31800', '54.9'], ['vodacom', 'south africa', '17600', '21800', '23.9'], ['mtn', 'south africa', '10235', '12483', '22'], ['mtn', 'nigeria', '8370', '12281', '47'], ['glo mobile', 'nigeria', '9000', '11000', '22'], ['maroc', 'morocco', '8237', '10707', '30'], ['djezzy', 'algeria', '7109', '10531', '48'], ['mobinil', 'egypt', '66960', '9267', '38'], ['vodafone', 'egypt', '6125', '8704', '42'], ['mobilis', 'algeria', '4908', '7476', '52']] |
emergency shipbuilding program | https://en.wikipedia.org/wiki/Emergency_Shipbuilding_program | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11552751-4.html.csv | majority | most of the emergency 1st ship deliveries were done in may of 1943 . | {'scope': 'all', 'col': '3', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'may 1943', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', '1st ship delivery date', 'may 1943'], 'result': True, 'ind': 0, 'tointer': 'for the 1st ship delivery date records of all rows , most of them fuzzily match to may 1943 .', 'tostr': 'most_eq { all_rows ; 1st ship delivery date ; may 1943 } = true'} | most_eq { all_rows ; 1st ship delivery date ; may 1943 } = true | for the 1st ship delivery date records of all rows , most of them fuzzily match to may 1943 . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, '1st ship delivery date_3': 3, 'may 1943_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', '1st ship delivery date_3': '1st ship delivery date', 'may 1943_4': 'may 1943'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], '1st ship delivery date_3': [0], 'may 1943_4': [0]} | ['yard name', 'location ( city , state )', '1st ship delivery date', 'ship types delivered', 'total number of ways'] | [['cargill inc', 'savage , minnesota', 'november 1941', 't1 type', 'number'], ['leatham d smith shipbuilding co', 'sturgeon bay , wisconsin', 'november 1942', 'c1 - m type , n3 type , s2 ( frigate ) type', 'number'], ['walter butler shipbuilders', 'superior , wisconsin', 'december 1942', 'c1 - m type , n3 type , s2 ( frigate ) type', 'number'], ['froemming brothers', 'milwaukee , wisconsin', 'april 1943', 'c1 - m type , v4 type , s2 ( frigate ) type', 'number'], ['american shipbuilding', 'lorain , ohio', 'may 1943', 'l6 type , s2 ( frigate ) type', 'number'], ['walter butler shipbuilders inc', 'duluth , minnesota', 'may 1943', 'c1 - m type , n3 type , t1 type', 'number'], ['globe shipbuilding co', 'superior , wisconsin', 'may 1943', 'c1 - m type , v4 type , s2 ( frigate ) type', 'number'], ['great lakes engineering co', 'ecorse , michigan', 'may 1943', 'l6 type', 'number'], ['great lakes engineering co', 'ashtabula , ohio', 'may 1943', 'l6 type', 'number'], ['american shipbuilding', 'cleveland , ohio', 'june 1943', 'l6 type , s2 ( frigate ) type', 'number']] |
makoto takimoto | https://en.wikipedia.org/wiki/Makoto_Takimoto | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14601654-2.html.csv | majority | the majority of makoto takimoto 's fights took place in the location of saitama , japan . | {'scope': 'all', 'col': '8', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'saitama , japan', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'location', 'saitama , japan'], 'result': True, 'ind': 0, 'tointer': 'for the location records of all rows , most of them fuzzily match to saitama , japan .', 'tostr': 'most_eq { all_rows ; location ; saitama , japan } = true'} | most_eq { all_rows ; location ; saitama , japan } = true | for the location records of all rows , most of them fuzzily match to saitama , japan . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'location_3': 3, 'saitama, japan_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'location_3': 'location', 'saitama, japan_4': 'saitama , japan'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'location_3': [0], 'saitama, japan_4': [0]} | ['res', 'record', 'opponent', 'method', 'event', 'round', 'time', 'location'] | [['win', '6 - 5', 'jae sun lee', 'decision ( unanimous )', 'sengoku 10', '3', '5:00', 'saitama , japan'], ['win', '5 - 5', 'michael costa', 'submission ( heel hook )', 'sengoku 8', '1', '3:31', 'tokyo , japan'], ['loss', '4 - 5', 'frank trigg', 'decision ( unanimous )', 'sengoku 4', '3', '5:00', 'saitama , japan'], ['loss', '4 - 4', 'evangelista santos', 'submission ( achilles lock )', 'sengoku 1', '1', '4:51', 'tokyo , japan'], ['win', '4 - 3', 'murilo bustamante', 'decision ( split )', 'yarennoka !', '2', '5:00', 'saitama , japan'], ['win', '3 - 3', 'zelg galešić', 'submission ( kimura )', 'pride 34', '1', '5:40', 'saitama , japan'], ['loss', '2 - 3', 'gegard mousasi', 'tko ( broken eye socket )', 'pride bushido 11', '1', '5:34', 'saitama , japan'], ['loss', '2 - 2', 'sanae kikuta', 'decision ( unanimous )', 'pride shockwave 2005', '3', '5:00', 'saitama , japan'], ['win', '2 - 1', 'dong - sik yoon', 'decision ( unanimous )', 'pride 30', '3', '5:00', 'saitama , japan'], ['loss', '1 - 1', 'kiyoshi tamura', 'decision ( unanimous )', 'pride critical countdown 2005', '3', '5:00', 'saitama , japan'], ['win', '1 - 0', 'henry miller', 'decision ( unanimous )', 'pride shockwave 2004', '3', '5:00', 'saitama , japan']] |
grade ii * listed buildings in greater manchester | https://en.wikipedia.org/wiki/Grade_II%2A_listed_buildings_in_Greater_Manchester | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15906728-4.html.csv | unique | shore mill is the only mill that is a grade ii listed building in greater manchester . | {'scope': 'all', 'row': '5', 'col': '3', 'col_other': '1', 'criterion': 'fuzzily_match', 'value': 'mill', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'type', 'mill'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose type record fuzzily matches to mill .', 'tostr': 'filter_eq { all_rows ; type ; mill }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; type ; mill } }', 'tointer': 'select the rows whose type record fuzzily matches to mill . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'type', 'mill'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose type record fuzzily matches to mill .', 'tostr': 'filter_eq { all_rows ; type ; mill }'}, 'name'], 'result': 'shore mill', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; type ; mill } ; name }'}, 'shore mill'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; type ; mill } ; name } ; shore mill }', 'tointer': 'the name record of this unqiue row is shore mill .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; type ; mill } } ; eq { hop { filter_eq { all_rows ; type ; mill } ; name } ; shore mill } } = true', 'tointer': 'select the rows whose type record fuzzily matches to mill . there is only one such row in the table . the name record of this unqiue row is shore mill .'} | and { only { filter_eq { all_rows ; type ; mill } } ; eq { hop { filter_eq { all_rows ; type ; mill } ; name } ; shore mill } } = true | select the rows whose type record fuzzily matches to mill . there is only one such row in the table . the name record of this unqiue row is shore mill . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'type_7': 7, 'mill_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'name_9': 9, 'shore mill_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'type_7': 'type', 'mill_8': 'mill', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'name_9': 'name', 'shore mill_10': 'shore mill'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'type_7': [0], 'mill_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'name_9': [2], 'shore mill_10': [3]} | ['name', 'location', 'type', 'completed', 'list entry number'] | [['church of st chad', 'church lane , uppermill', 'church', '1746', '1162501'], ['grotton hall', 'platting road , lydgate', 'house', '1686', '1068157'], ['heights chapel , st thomas old church', 'broad lane , saddleworth', 'church', '1765', '1356677'], ['higher kinders', "kinder 's lane , saddleworth", 'house', '1642', '1068176'], ['shore mill', 'delph , saddleworth', 'carding mill', '1780s', '1067445'], ['church of st anne', "st anne 's avenue , royton", 'church', '1909', '1356418'], ['church of st mary with st peter', 'church street , oldham', 'parish church', '1830', '1292310'], ['church of st thomas', 'west street , lees', 'church', '1848', '1068071'], ['foxdenton hall', 'foxdenton lane , chadderton', 'house', '1730', '1356429'], ['independent methodist chapel', 'george street , oldham', 'methodist chapel', '1815', '1201672'], ['1 - 5 ηοllins road - also known as hathershaw hall', 'hollins road , oldham', 'house', '17th century', '1217873']] |
1968 boston patriots season | https://en.wikipedia.org/wiki/1968_Boston_Patriots_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10646744-2.html.csv | unique | during the 1968 boston patriots season , the only game against the oakland raiders was on october 6th , 1968 . | {'scope': 'all', 'row': '4', 'col': '3', 'col_other': '2', 'criterion': 'equal', 'value': 'oakland raiders', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'opponent', 'oakland raiders'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose opponent record fuzzily matches to oakland raiders .', 'tostr': 'filter_eq { all_rows ; opponent ; oakland raiders }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; opponent ; oakland raiders } }', 'tointer': 'select the rows whose opponent record fuzzily matches to oakland raiders . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'opponent', 'oakland raiders'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose opponent record fuzzily matches to oakland raiders .', 'tostr': 'filter_eq { all_rows ; opponent ; oakland raiders }'}, 'date'], 'result': 'october 6 , 1968', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; opponent ; oakland raiders } ; date }'}, 'october 6 , 1968'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; opponent ; oakland raiders } ; date } ; october 6 , 1968 }', 'tointer': 'the date record of this unqiue row is october 6 , 1968 .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; opponent ; oakland raiders } } ; eq { hop { filter_eq { all_rows ; opponent ; oakland raiders } ; date } ; october 6 , 1968 } } = true', 'tointer': 'select the rows whose opponent record fuzzily matches to oakland raiders . there is only one such row in the table . the date record of this unqiue row is october 6 , 1968 .'} | and { only { filter_eq { all_rows ; opponent ; oakland raiders } } ; eq { hop { filter_eq { all_rows ; opponent ; oakland raiders } ; date } ; october 6 , 1968 } } = true | select the rows whose opponent record fuzzily matches to oakland raiders . there is only one such row in the table . the date record of this unqiue row is october 6 , 1968 . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'opponent_7': 7, 'oakland raiders_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'date_9': 9, 'october 6 , 1968_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'opponent_7': 'opponent', 'oakland raiders_8': 'oakland raiders', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'date_9': 'date', 'october 6 , 1968_10': 'october 6 , 1968'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'opponent_7': [0], 'oakland raiders_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'date_9': [2], 'october 6 , 1968_10': [3]} | ['week', 'date', 'opponent', 'result', 'attendance'] | [['1', 'september 8 , 1968', 'buffalo bills', 'w 16 - 7', '38865'], ['3', 'september 22 , 1968', 'new york jets', 'l 47 - 31', '22002'], ['4', 'september 29 , 1968', 'denver broncos', 'w 20 - 17', '37024'], ['5', 'october 6 , 1968', 'oakland raiders', 'l 41 - 10', '44253'], ['6', 'october 13 , 1968', 'houston oilers', 'l 16 - 0', '32502'], ['7', 'october 20 , 1968', 'buffalo bills', 'w 23 - 6', '21082'], ['8', 'october 27 , 1968', 'new york jets', 'l 48 - 14', '62351'], ['9', 'november 3 , 1968', 'denver broncos', 'l 35 - 14', '18304'], ['10', 'november 10 , 1968', 'san diego chargers', 'l 27 - 17', '19278'], ['11', 'november 17 , 1968', 'kansas city chiefs', 'l 31 - 17', '48271'], ['12', 'november 24 , 1968', 'miami dolphins', 'l 34 - 10', '18305'], ['13', 'december 1 , 1968', 'cincinnati bengals', 'w 33 - 14', '17796'], ['14', 'december 8 , 1968', 'miami dolphins', 'l 38 - 7', '24242'], ['15', 'december 15 , 1968', 'houston oilers', 'l 45 - 17', '34198']] |
dancing with the stars ( u.s. season 6 ) | https://en.wikipedia.org/wiki/Dancing_with_the_Stars_%28U.S._season_6%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15116785-9.html.csv | comparative | in the 6th season of dancing with the stars , jason & edyta scored 4 points lower than kristi & mark . | {'row_1': '9', 'row_2': '10', 'col': '2', 'col_other': '1', 'relation': 'less', 'record_mentioned': 'yes', 'diff_result': None} | {'func': 'and', 'args': [{'func': 'less', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'couple', 'jason & edyta'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose couple record fuzzily matches to jason & edyta .', 'tostr': 'filter_eq { all_rows ; couple ; jason & edyta }'}, 'score'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; couple ; jason & edyta } ; score }', 'tointer': 'select the rows whose couple record fuzzily matches to jason & edyta . take the score record of this row .'}, {'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'couple', 'kristi & mark'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose couple record fuzzily matches to kristi & mark .', 'tostr': 'filter_eq { all_rows ; couple ; kristi & mark }'}, 'score'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; couple ; kristi & mark } ; score }', 'tointer': 'select the rows whose couple record fuzzily matches to kristi & mark . take the score record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'less { hop { filter_eq { all_rows ; couple ; jason & edyta } ; score } ; hop { filter_eq { all_rows ; couple ; kristi & mark } ; score } }', 'tointer': 'select the rows whose couple record fuzzily matches to jason & edyta . take the score record of this row . select the rows whose couple record fuzzily matches to kristi & mark . take the score record of this row . the first record is less than the second record .'}, {'func': 'and', 'args': [{'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'couple', 'jason & edyta'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose couple record fuzzily matches to jason & edyta .', 'tostr': 'filter_eq { all_rows ; couple ; jason & edyta }'}, 'score'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; couple ; jason & edyta } ; score }', 'tointer': 'select the rows whose couple record fuzzily matches to jason & edyta . take the score record of this row .'}, '23 ( 8 , 7 , 8 )'], 'result': True, 'ind': 5, 'tostr': 'eq { hop { filter_eq { all_rows ; couple ; jason & edyta } ; score } ; 23 ( 8 , 7 , 8 ) }', 'tointer': 'the score record of the first row is 23 ( 8 , 7 , 8 ) .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'couple', 'kristi & mark'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose couple record fuzzily matches to kristi & mark .', 'tostr': 'filter_eq { all_rows ; couple ; kristi & mark }'}, 'score'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; couple ; kristi & mark } ; score }', 'tointer': 'select the rows whose couple record fuzzily matches to kristi & mark . take the score record of this row .'}, '27 ( 9 , 9 , 9 )'], 'result': True, 'ind': 6, 'tostr': 'eq { hop { filter_eq { all_rows ; couple ; kristi & mark } ; score } ; 27 ( 9 , 9 , 9 ) }', 'tointer': 'the score record of the second row is 27 ( 9 , 9 , 9 ) .'}], 'result': True, 'ind': 7, 'tostr': 'and { eq { hop { filter_eq { all_rows ; couple ; jason & edyta } ; score } ; 23 ( 8 , 7 , 8 ) } ; eq { hop { filter_eq { all_rows ; couple ; kristi & mark } ; score } ; 27 ( 9 , 9 , 9 ) } }', 'tointer': 'the score record of the first row is 23 ( 8 , 7 , 8 ) . the score record of the second row is 27 ( 9 , 9 , 9 ) .'}], 'result': True, 'ind': 8, 'tostr': 'and { less { hop { filter_eq { all_rows ; couple ; jason & edyta } ; score } ; hop { filter_eq { all_rows ; couple ; kristi & mark } ; score } } ; and { eq { hop { filter_eq { all_rows ; couple ; jason & edyta } ; score } ; 23 ( 8 , 7 , 8 ) } ; eq { hop { filter_eq { all_rows ; couple ; kristi & mark } ; score } ; 27 ( 9 , 9 , 9 ) } } } = true', 'tointer': 'select the rows whose couple record fuzzily matches to jason & edyta . take the score record of this row . select the rows whose couple record fuzzily matches to kristi & mark . take the score record of this row . the first record is less than the second record . the score record of the first row is 23 ( 8 , 7 , 8 ) . the score record of the second row is 27 ( 9 , 9 , 9 ) .'} | and { less { hop { filter_eq { all_rows ; couple ; jason & edyta } ; score } ; hop { filter_eq { all_rows ; couple ; kristi & mark } ; score } } ; and { eq { hop { filter_eq { all_rows ; couple ; jason & edyta } ; score } ; 23 ( 8 , 7 , 8 ) } ; eq { hop { filter_eq { all_rows ; couple ; kristi & mark } ; score } ; 27 ( 9 , 9 , 9 ) } } } = true | select the rows whose couple record fuzzily matches to jason & edyta . take the score record of this row . select the rows whose couple record fuzzily matches to kristi & mark . take the score record of this row . the first record is less than the second record . the score record of the first row is 23 ( 8 , 7 , 8 ) . the score record of the second row is 27 ( 9 , 9 , 9 ) . | 13 | 9 | {'and_8': 8, 'result_9': 9, 'less_4': 4, 'str_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_10': 10, 'couple_11': 11, 'jason & edyta_12': 12, 'score_13': 13, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_14': 14, 'couple_15': 15, 'kristi & mark_16': 16, 'score_17': 17, 'and_7': 7, 'str_eq_5': 5, '23 (8 , 7 , 8)_18': 18, 'str_eq_6': 6, '27 (9 , 9 , 9)_19': 19} | {'and_8': 'and', 'result_9': 'true', 'less_4': 'less', 'str_hop_2': 'str_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_10': 'all_rows', 'couple_11': 'couple', 'jason & edyta_12': 'jason & edyta', 'score_13': 'score', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_14': 'all_rows', 'couple_15': 'couple', 'kristi & mark_16': 'kristi & mark', 'score_17': 'score', 'and_7': 'and', 'str_eq_5': 'str_eq', '23 (8 , 7 , 8)_18': '23 ( 8 , 7 , 8 )', 'str_eq_6': 'str_eq', '27 (9 , 9 , 9)_19': '27 ( 9 , 9 , 9 )'} | {'and_8': [9], 'result_9': [], 'less_4': [8], 'str_hop_2': [4, 5], 'filter_str_eq_0': [2], 'all_rows_10': [0], 'couple_11': [0], 'jason & edyta_12': [0], 'score_13': [2], 'str_hop_3': [4, 6], 'filter_str_eq_1': [3], 'all_rows_14': [1], 'couple_15': [1], 'kristi & mark_16': [1], 'score_17': [3], 'and_7': [8], 'str_eq_5': [7], '23 (8 , 7 , 8)_18': [5], 'str_eq_6': [7], '27 (9 , 9 , 9)_19': [6]} | ['couple', 'score', 'style', 'music', 'result'] | [['marlee & fabian', '21 ( 7 , 7 , 7 )', 'jive', 'you may be right - billy joel', 'safe'], ['steve & anna', '21 ( 7 , 7 , 7 )', 'tango', "jalousie-alfred hause 's tango orchestra", 'eliminated'], ['cristián & cheryl', '25 ( 8 , 8 , 9 )', 'jive', "do n't stop me now - queen", 'safe'], ['mario & karina', '21 ( 7 , 6 , 8 )', 'tango', 'el tango de roxanne - moulin rouge ! soundtrack', 'last to be called safe'], ['shannon & derek', '24 ( 8 , 8 , 8 )', 'jive', 'goody two shoes - adam ant', 'safe'], ['adam & julianne', '21 ( 7 , 7 , 7 )', 'tango', "i ca n't tell a waltz from a tango - alma cogan", 'safe'], ['marissa & tony', '19 ( 6 , 7 , 6 )', 'jive', 'girlfriend - avril lavigne', 'safe'], ['priscilla & louis', '26 ( 8 , 9 , 9 )', 'tango', 'el choclo - lalo schifrin', 'safe'], ['jason & edyta', '23 ( 8 , 7 , 8 )', 'jive', 'i got a woman - ray charles', 'safe'], ['kristi & mark', '27 ( 9 , 9 , 9 )', 'tango', 'rio - duran duran', 'safe']] |
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