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1961 vfl season | https://en.wikipedia.org/wiki/1961_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10776330-15.html.csv | superlative | the game between st kilda and melbourne had the highest crowd turnout . | {'scope': 'all', 'col_superlative': '6', 'row_superlative': '5', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '1,3', 'subset': None} | {'func': 'and', 'args': [{'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'crowd'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; crowd }'}, 'home team'], 'result': 'st kilda', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; crowd } ; home team }'}, 'st kilda'], '... | and { eq { hop { argmax { all_rows ; crowd } ; home team } ; st kilda } ; eq { hop { argmax { all_rows ; crowd } ; away team } ; melbourne } } = true | select the row whose crowd record of all rows is maximum . the home team record of this row is st kilda . the away team record of this row is melbourne . | 7 | 6 | {'and_5': 5, 'result_6': 6, 'str_eq_2': 2, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_7': 7, 'crowd_8': 8, 'home team_9': 9, 'st kilda_10': 10, 'str_eq_4': 4, 'str_hop_3': 3, 'away team_11': 11, 'melbourne_12': 12} | {'and_5': 'and', 'result_6': 'true', 'str_eq_2': 'str_eq', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_7': 'all_rows', 'crowd_8': 'crowd', 'home team_9': 'home team', 'st kilda_10': 'st kilda', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'away team_11': 'away team', 'melbourne_12': 'melbourne'} | {'and_5': [6], 'result_6': [], 'str_eq_2': [5], 'str_hop_1': [2], 'argmax_0': [1, 3], 'all_rows_7': [0], 'crowd_8': [0], 'home team_9': [1], 'st kilda_10': [2], 'str_eq_4': [5], 'str_hop_3': [4], 'away team_11': [3], 'melbourne_12': [4]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['hawthorn', '15.10 ( 100 )', 'north melbourne', '6.11 ( 47 )', 'glenferrie oval', '14000', '5 august 1961'], ['essendon', '13.16 ( 94 )', 'geelong', '7.14 ( 56 )', 'windy hill', '27500', '5 august 1961'], ['collingwood', '5.10 ( 40 )', 'footscray', '11.12 ( 78 )', 'victoria park', '22324', '5 august 1961'], ['carlton... |
melbourne victory records and statistics | https://en.wikipedia.org/wiki/Melbourne_Victory_records_and_statistics | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18639024-11.html.csv | unique | among melbourne victory fc 's all-time appearance records , kevin muscat is the only one whom has no substitute appearances in the a-league . | {'scope': 'all', 'row': '5', 'col': '3', 'col_other': '1', 'criterion': 'fuzzily_match', 'value': '( 0 )', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'a - league', '( 0 )'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose a - league record fuzzily matches to ( 0 ) .', 'tostr': 'filter_eq { all_rows ; a - league ; ( 0 ) }'}], 'result': True, 'ind': 1, 'tostr'... | and { only { filter_eq { all_rows ; a - league ; ( 0 ) } } ; eq { hop { filter_eq { all_rows ; a - league ; ( 0 ) } ; name } ; kevin muscat } } = true | select the rows whose a - league record fuzzily matches to ( 0 ) . there is only one such row in the table . the name record of this unqiue row is kevin muscat . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'a - league_7': 7, '(0)_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'name_9': 9, 'kevin muscat_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'a - league_7': 'a - league', '(0)_8': '( 0 )', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'name_9': 'name', 'kevin muscat_10': 'kevin muscat'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'a - league_7': [0], '(0)_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'name_9': [2], 'kevin muscat_10': [3]} | ['name', 'years', 'a - league', 'finals', 'total'] | [['archie thompson', '2005 / 06 -', '149 ( 5 )', '11 ( 2 )', '170 ( 9 )'], ['adrian leijer', '2006 / 07 - 2007 / 08 , 2009 / 10 -', '133 ( 1 )', '9 ( 0 )', '153 ( 1 )'], ['rodrigo vargas', '2006 / 07 - 2011 / 2012', '129 ( 1 )', '10 ( 0 )', '153 ( 1 )'], ['leigh broxham', '2006 / 2007 -', '124 ( 37 )', '6 ( 1 )', '143 ... |
united states house of representatives elections , 1824 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1824 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-2668264-8.html.csv | ordinal | henry clay recorded the highest percentage ratio among the candidates of the 1824 house of representatives elections . | {'row': '2', 'col': '6', 'order': '1', 'col_other': '2', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'candidates', '1'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; candidates ; 1 }'}, 'incumbent'], 'result': 'henry clay', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; candidates ; 1 } ; incumbent }'... | eq { hop { nth_argmax { all_rows ; candidates ; 1 } ; incumbent } ; henry clay } = true | select the row whose candidates record of all rows is 1st maximum . the incumbent record of this row is henry clay . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'candidates_5': 5, '1_6': 6, 'incumbent_7': 7, 'henry clay_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmax_0': 'nth_argmax', 'all_rows_4': 'all_rows', 'candidates_5': 'candidates', '1_6': '1', 'incumbent_7': 'incumbent', 'henry clay_8': 'henry clay'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'candidates_5': [0], '1_6': [0], 'incumbent_7': [1], 'henry clay_8': [2]} | ['district', 'incumbent', 'party', 'first elected', 'result', 'candidates'] | [['kentucky 1', 'david trimble', 'adams - clay republican', '1816', 're - elected', 'david trimble ( a )'], ['kentucky 3', 'henry clay', 'adams - clay republican', '1810 1822', 're - elected', 'henry clay ( a ) 100 %'], ['kentucky 4', 'robert p letcher', 'adams - clay republican', '1822', 're - elected', 'robert p letc... |
aguaclara | https://en.wikipedia.org/wiki/AguaClara | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18268930-1.html.csv | majority | the majority of aguaclara locations were constructed with app as their partner . | {'scope': 'all', 'col': '2', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'app', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'partner', 'app'], 'result': True, 'ind': 0, 'tointer': 'for the partner records of all rows , most of them fuzzily match to app .', 'tostr': 'most_eq { all_rows ; partner ; app } = true'} | most_eq { all_rows ; partner ; app } = true | for the partner records of all rows , most of them fuzzily match to app . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'partner_3': 3, 'app_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'partner_3': 'partner', 'app_4': 'app'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'partner_3': [0], 'app_4': [0]} | ['location', 'partner', 'construction start', 'inauguration date', 'population served', 'design flow ( lpm )'] | [['ojojona , hon', 'app', '2006 june', '2007 july', '2000', '375'], ['tamara , hon', 'app', '2008 january', '2008 june', '3500', '720'], ['marcala , hon', 'irwa', '2007 october', '2008 july', '9000', '1900'], ['4 comunidades , hon', 'app', '2008 october', '2009 march', '2000', '375'], ['agalteca , hon', 'app', '2009 oc... |
list of england national rugby union team results 1980 - 89 | https://en.wikipedia.org/wiki/List_of_England_national_rugby_union_team_results_1980%E2%80%9389 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18178608-10.html.csv | aggregation | in 1980-89 , the england national rugby union team scored a total of 53 against opposing teams . | {'scope': 'all', 'col': '2', 'type': 'sum', 'result': '53', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': ['all_rows', 'against'], 'result': '53', 'ind': 0, 'tostr': 'sum { all_rows ; against }'}, '53'], 'result': True, 'ind': 1, 'tostr': 'round_eq { sum { all_rows ; against } ; 53 } = true', 'tointer': 'the sum of the against record of all rows is 53 .'} | round_eq { sum { all_rows ; against } ; 53 } = true | the sum of the against record of all rows is 53 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'sum_0': 0, 'all_rows_3': 3, 'against_4': 4, '53_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'sum_0': 'sum', 'all_rows_3': 'all_rows', 'against_4': 'against', '53_5': '53'} | {'eq_1': [2], 'result_2': [], 'sum_0': [1], 'all_rows_3': [0], 'against_4': [0], '53_5': [1]} | ['opposing teams', 'against', 'date', 'venue', 'status'] | [['scotland', '12', '04 / 02 / 1989', 'twickenham , london', 'five nations'], ['ireland', '3', '18 / 02 / 1989', 'lansdowne road , dublin', 'five nations'], ['france', '0', '04 / 03 / 1989', 'twickenham , london', 'five nations'], ['wales', '12', '18 / 03 / 1989', 'cardiff arms park , cardiff', 'five nations'], ['roman... |
shinji nakano | https://en.wikipedia.org/wiki/Shinji_Nakano | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1226567-5.html.csv | superlative | the highest number of laps shinji nakano completed in a race was 325 . | {'scope': 'all', 'col_superlative': '5', 'row_superlative': '6', 'value_mentioned': 'yes', 'max_or_min': 'max', 'other_col': 'n/a', 'subset': None} | {'func': 'eq', 'args': [{'func': 'max', 'args': ['all_rows', 'laps'], 'result': '325', 'ind': 0, 'tostr': 'max { all_rows ; laps }', 'tointer': 'the maximum laps record of all rows is 325 .'}, '325'], 'result': True, 'ind': 1, 'tostr': 'eq { max { all_rows ; laps } ; 325 } = true', 'tointer': 'the maximum laps record o... | eq { max { all_rows ; laps } ; 325 } = true | the maximum laps record of all rows is 325 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'max_0': 0, 'all_rows_3': 3, 'laps_4': 4, '325_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'max_0': 'max', 'all_rows_3': 'all_rows', 'laps_4': 'laps', '325_5': '325'} | {'eq_1': [2], 'result_2': [], 'max_0': [1], 'all_rows_3': [0], 'laps_4': [0], '325_5': [1]} | ['year', 'team', 'co - drivers', 'class', 'laps', 'pos', 'class pos'] | [['2005', 'courage compétition', 'jonathan cochet bruce jouanny', 'lmp1', '52', 'dnf', 'dnf'], ['2006', 'courage compétition', 'jean - marc gounon haruki kurosawa', 'lmp1', '35', 'dnf', 'dnf'], ['2007', 'creation autosportif ltd', 'jamie campbell - walter felipe ortiz', 'lmp1', '55', 'dnf', 'dnf'], ['2008', 'epsilon eu... |
2010 fei world equestrian games | https://en.wikipedia.org/wiki/2010_FEI_World_Equestrian_Games | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11661065-10.html.csv | ordinal | germany recorded the highest number of bronze in the fei world equestrian games of 2010 . | {'row': '2', 'col': '5', 'order': '1', 'col_other': '2', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'bronze', '1'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; bronze ; 1 }'}, 'nation'], 'result': 'germany', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; bronze ; 1 } ; nation }'}, 'germany'], 'resul... | eq { hop { nth_argmax { all_rows ; bronze ; 1 } ; nation } ; germany } = true | select the row whose bronze record of all rows is 1st maximum . the nation record of this row is germany . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'bronze_5': 5, '1_6': 6, 'nation_7': 7, 'germany_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', 'bronze_5': 'bronze', '1_6': '1', 'nation_7': 'nation', 'germany_8': 'germany'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'bronze_5': [0], '1_6': [0], 'nation_7': [1], 'germany_8': [2]} | ['rank', 'nation', 'gold', 'silver', 'bronze', 'total'] | [['1', 'great britain', '9', '7', '3', '19'], ['2', 'germany', '5', '5', '4', '14'], ['3', 'netherlands', '5', '3', '1', '9'], ['4', 'united states of america', '3', '2', '3', '8'], ['5', 'belgium', '1', '2', '1', '4'], ['6', 'united arab emirates', '1', '1', '1', '3'], ['7', 'australia', '1', '0', '2', '3'], ['8', 'sp... |
list of australian test bowlers who have taken over 200 test wickets | https://en.wikipedia.org/wiki/List_of_Australian_Test_bowlers_who_have_taken_over_200_Test_wickets | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18914438-1.html.csv | comparative | of the australian test bowlers who have taken over 200 test wickets had under 100 matches , jeff thomason had one more match than mitchell johnson . | {'row_1': '14', 'row_2': '13', 'col': '3', 'col_other': '1', 'relation': 'diff', 'record_mentioned': 'no', 'diff_result': {'diff_value': '1', 'bigger': 'row1'}} | {'func': 'eq', 'args': [{'func': 'diff', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'name', 'jeff thomson'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose name record fuzzily matches to jeff thomson .', 'tostr': 'filter_eq { all_rows ; name ; jeff thomson }'}, 'ma... | eq { diff { hop { filter_eq { all_rows ; name ; jeff thomson } ; matches } ; hop { filter_eq { all_rows ; name ; mitchell johnson } ; matches } } ; 1 } = true | select the rows whose name record fuzzily matches to jeff thomson . take the matches record of this row . select the rows whose name record fuzzily matches to mitchell johnson . take the matches record of this row . the first record is 1 larger than the second record . | 6 | 6 | {'eq_5': 5, 'result_6': 6, 'diff_4': 4, 'num_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_7': 7, 'name_8': 8, 'jeff thomson_9': 9, 'matches_10': 10, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_11': 11, 'name_12': 12, 'mitchell johnson_13': 13, 'matches_14': 14, '1_15': 15} | {'eq_5': 'eq', 'result_6': 'true', 'diff_4': 'diff', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_7': 'all_rows', 'name_8': 'name', 'jeff thomson_9': 'jeff thomson', 'matches_10': 'matches', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_11': 'all_rows', 'name_12': 'name'... | {'eq_5': [6], 'result_6': [], 'diff_4': [5], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_7': [0], 'name_8': [0], 'jeff thomson_9': [0], 'matches_10': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_11': [1], 'name_12': [1], 'mitchell johnson_13': [1], 'matches_14': [3], '1_15': [5]} | ['name', 'career', 'matches', 'overs', 'maidens', 'runs', 'wickets', 'average', 'best'] | [['shane warne', '1992 - 2007', '145', '6784.1', '1762', '17995', '708', '25.42', '8 / 71'], ['glenn mcgrath', '1993 - 2007', '124', '4874.4', '1470', '12186', '563', '21.64', '8 / 24'], ['dennis lillee', '1971 - 1984', '70', '2834.1', '652', '8493', '355', '23.92', '7 / 83'], ['brett lee', '1999 - 2010', '76', '2755.1... |
list of artificial radiation belts | https://en.wikipedia.org/wiki/List_of_artificial_radiation_belts | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-148578-1.html.csv | aggregation | the average altitude of the artificial radiation belts is 244.35 km . | {'scope': 'all', 'col': '5', 'type': 'average', 'result': '244.35', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'altitude ( km )'], 'result': '244.35', 'ind': 0, 'tostr': 'avg { all_rows ; altitude ( km ) }'}, '244.35'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; altitude ( km ) } ; 244.35 } = true', 'tointer': 'the average of the altitude ( ... | round_eq { avg { all_rows ; altitude ( km ) } ; 244.35 } = true | the average of the altitude ( km ) record of all rows is 244.35 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'altitude (km)_4': 4, '244.35_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'altitude (km)_4': 'altitude ( km )', '244.35_5': '244.35'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'altitude (km)_4': [0], '244.35_5': [1]} | ['explosion', 'location', 'date', 'yield ( approximate )', 'altitude ( km )', 'nation of origin'] | [['hardtack teak', 'johnston island ( pacific )', '1958 - 08 - 01', '3.8 megatons', '76.8', 'united states'], ['hardtack orange', 'johnston island ( pacific )', '1958 - 08 - 12', '3.8 megatons', '43', 'united states'], ['argus i', 'south atlantic', '1958 - 08 - 27', '1 - 2 kilotons', '200', 'united states'], ['argus ii... |
galicia , spain | https://en.wikipedia.org/wiki/Galicia%2C_Spain | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-12837-1.html.csv | aggregation | cities in galicia , spain , have an average of 18.4 days with frost per year . | {'scope': 'all', 'col': '5', 'type': 'average', 'result': '18.4', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'days with frost'], 'result': '18.4', 'ind': 0, 'tostr': 'avg { all_rows ; days with frost }'}, '18.4'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; days with frost } ; 18.4 } = true', 'tointer': 'the average of the days with frost r... | round_eq { avg { all_rows ; days with frost } ; 18.4 } = true | the average of the days with frost record of all rows is 18.4 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'days with frost_4': 4, '18.4_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'days with frost_4': 'days with frost', '18.4_5': '18.4'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'days with frost_4': [0], '18.4_5': [1]} | ['city / town', 'july av t', 'rain', 'days with rain ( year / summer )', 'days with frost', 'sunlight hours'] | [['santiago de compostela', 'degree', 'mm ( in )', '141 / 19', '15', '1998'], ['a coruña', 'degree', 'mm ( in )', '131 / 19', '0', '1966'], ['lugo', 'degree', 'mm ( in )', '131 / 18', '42', '1821'], ['vigo', 'degree', 'mm ( in )', '130 / 18', '5', '2212'], ['ourense', 'degree', 'mm ( in )', '97 / 12', '30', '2043']] |
lists of oldest cricketers | https://en.wikipedia.org/wiki/Lists_of_oldest_cricketers | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16388723-6.html.csv | aggregation | the average age of the 5 oldest cricketers is 103 years 28 days . | {'scope': 'subset', 'col': '6', 'type': 'average', 'result': '103 years 28 days', 'subset': {'col': '6', 'criterion': 'greater_than_eq', 'value': '102 years 242 days'}} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': [{'func': 'filter_greater_eq', 'args': ['all_rows', 'age ( as of 1 february 2014 )', '102 years 242 days'], 'result': None, 'ind': 0, 'tostr': 'filter_greater_eq { all_rows ; age ( as of 1 february 2014 ) ; 102 years 242 days }', 'tointer': 'select the rows whose ag... | round_eq { avg { filter_greater_eq { all_rows ; age ( as of 1 february 2014 ) ; 102 years 242 days } ; age ( as of 1 february 2014 ) } ; 103 years 28 days } = true | select the rows whose age ( as of 1 february 2014 ) record is greater than or equal to 102 years 242 days . the average of the age ( as of 1 february 2014 ) record of these rows is 103 years 28 days . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'avg_1': 1, 'filter_greater_eq_0': 0, 'all_rows_4': 4, 'age (as of 1 february 2014)_5': 5, '102 years 242 days_6': 6, 'age (as of 1 february 2014)_7': 7, '103 years 28 days_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'avg_1': 'avg', 'filter_greater_eq_0': 'filter_greater_eq', 'all_rows_4': 'all_rows', 'age (as of 1 february 2014)_5': 'age ( as of 1 february 2014 )', '102 years 242 days_6': '102 years 242 days', 'age (as of 1 february 2014)_7': 'age ( as of 1 february 2014 )', '103 years 28 days_8'... | {'eq_2': [3], 'result_3': [], 'avg_1': [2], 'filter_greater_eq_0': [1], 'all_rows_4': [0], 'age (as of 1 february 2014)_5': [0], '102 years 242 days_6': [0], 'age (as of 1 february 2014)_7': [1], '103 years 28 days_8': [2]} | ['rank', 'name', 'team ( s )', 'birth date', 'death date', 'age ( as of 1 february 2014 )', 'nationality'] | [['1', 'jim hutchinson', 'derbyshire', '29 november 1896', '7 november 2000', '103 years , 344 days', 'england'], ['2', 'syd ward', 'wellington', '5 august 1907', '31 december 2010', '103 years , 148 days', 'new zealand'], ['3', 'rupert de smidt', 'western province', '23 november 1883', '3 august 1986', '102 years , 25... |
list of high schools in indiana | https://en.wikipedia.org/wiki/List_of_high_schools_in_Indiana | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1984697-85.html.csv | aggregation | 504 is the average size of the listed high schools in indiana . | {'scope': 'all', 'col': '4', 'type': 'average', 'result': '504', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'size'], 'result': '504', 'ind': 0, 'tostr': 'avg { all_rows ; size }'}, '504'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; size } ; 504 } = true', 'tointer': 'the average of the size record of all rows is 504 .'} | round_eq { avg { all_rows ; size } ; 504 } = true | the average of the size record of all rows is 504 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'size_4': 4, '504_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'size_4': 'size', '504_5': '504'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'size_4': [0], '504_5': [1]} | ['school', 'city / town', 'website', 'size', 'principal', 'grades', 'idoe profile'] | [['emmanuel christian school', 'wabash', '-', '105', 'doug phillips', 'pk - 12', 'snapshot'], ['manchester junior - senior high school', 'north manchester', 'website', '715', 'ms nancy alspaugh', '07 - 12', 'snapshot'], ['northfield junior - senior high school', 'wabash', 'website', '604', 'mike keaffaber', '07 - 12', ... |
nello pagani | https://en.wikipedia.org/wiki/Nello_Pagani | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1235127-3.html.csv | majority | nello pagani finished with at least 10 points the majority of years he raced . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'greater_than_eq', 'value': '10', 'subset': None} | {'func': 'most_greater_eq', 'args': ['all_rows', 'points', '10'], 'result': True, 'ind': 0, 'tointer': 'for the points records of all rows , most of them are greater than or equal to 10 .', 'tostr': 'most_greater_eq { all_rows ; points ; 10 } = true'} | most_greater_eq { all_rows ; points ; 10 } = true | for the points records of all rows , most of them are greater than or equal to 10 . | 1 | 1 | {'most_greater_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'points_3': 3, '10_4': 4} | {'most_greater_eq_0': 'most_greater_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'points_3': 'points', '10_4': '10'} | {'most_greater_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'points_3': [0], '10_4': [0]} | ['year', 'class', 'team', 'points', 'rank', 'wins'] | [['1949', '125cc', 'mondial', '27', '1st', '2'], ['1949', '500cc', 'gilera', '28', '2nd', '2'], ['1950', '500cc', 'gilera', '12', '4th', '0'], ['1951', '125cc', 'mondial', '3', '10th', '0'], ['1951', '500cc', 'gilera', '10', '5th', '0'], ['1952', '500cc', 'gilera', '12', '8th', '0'], ['1953', '500cc', 'gilera', '2', '1... |
list of bored to death episodes | https://en.wikipedia.org/wiki/List_of_Bored_to_Death_episodes | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-26136228-3.html.csv | aggregation | for the show bored to death , the average number of us viewers ( in millions ) is .94 . | {'scope': 'all', 'col': '7', 'type': 'average', 'result': '0.944', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'us viewers ( millions )'], 'result': '0.944', 'ind': 0, 'tostr': 'avg { all_rows ; us viewers ( millions ) }'}, '0.944'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; us viewers ( millions ) } ; 0.944 } = true', 'tointer': 'the avera... | round_eq { avg { all_rows ; us viewers ( millions ) } ; 0.944 } = true | the average of the us viewers ( millions ) record of all rows is 0.944 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'us viewers (millions)_4': 4, '0.944_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'us viewers (millions)_4': 'us viewers ( millions )', '0.944_5': '0.944'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'us viewers (millions)_4': [0], '0.944_5': [1]} | ['series no', 'episode no', 'title', 'directed by', 'written by', 'original air date', 'us viewers ( millions )'] | [['9', '1', 'escape from the dungeon !', 'alan taylor', 'jonathan ames', 'september 26 , 2010', '1.05'], ['10', '2', 'make it quick , fitzgerald !', 'alan taylor', 'jonathan ames', 'october 3 , 2010', '1.08'], ['11', '3', 'the gowanus canal has gonorrhea !', 'michael lehmann', 'martin gero & jonathan ames', 'october 10... |
hairuddin omar | https://en.wikipedia.org/wiki/Hairuddin_Omar | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10358163-1.html.csv | count | hairuddin omar lost three events from 2000 to 2008 . | {'scope': 'all', 'criterion': 'equal', 'value': 'lost', 'result': '3', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'result', 'lost'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose result record fuzzily matches to lost .', 'tostr': 'filter_eq { all_rows ; result ; lost }'}], 'result': '3', 'ind': 1, 'tostr': 'count { filte... | eq { count { filter_eq { all_rows ; result ; lost } } ; 3 } = true | select the rows whose result record fuzzily matches to lost . 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, 'result_5': 5, 'lost_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', 'result_5': 'result', 'lost_6': 'lost', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'result_5': [0], 'lost_6': [0], '3_7': [2]} | ['date', 'venue', 'score', 'result', 'competition'] | [['7 november 2000', 'bangkok , thailand', '5 - 0', 'won', '2000 tiger cup group stage'], ['9 november 2000', 'bangkok , thailand', '3 - 2', 'won', '2000 tiger cup group stage'], ['9 may 2001', 'ba , fiji', '1 - 2', 'won', 'friendly'], ['23 march 2001', 'doha , qatar', '2 - 1', 'lost', '2002 fifa world cup qualificatio... |
1975 minnesota vikings season | https://en.wikipedia.org/wiki/1975_Minnesota_Vikings_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10361480-2.html.csv | aggregation | the average attendance for vikings games in the 1975 nfl season is just over 50,000 . | {'scope': 'all', 'col': '5', 'type': 'average', 'result': '52,519.93', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'attendance'], 'result': '52,519.93', 'ind': 0, 'tostr': 'avg { all_rows ; attendance }'}, '52,519.93'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; attendance } ; 52,519.93 } = true', 'tointer': 'the average of the attendance record... | round_eq { avg { all_rows ; attendance } ; 52,519.93 } = true | the average of the attendance record of all rows is 52,519.93 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'attendance_4': 4, '52,519.93_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'attendance_4': 'attendance', '52,519.93_5': '52,519.93'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'attendance_4': [0], '52,519.93_5': [1]} | ['week', 'date', 'opponent', 'result', 'attendance'] | [['1', 'september 21 , 1975', 'san francisco 49ers', 'w 27 - 17', '46479'], ['2', 'september 28 , 1975', 'cleveland browns', 'w 42 - 10', '68064'], ['3', 'october 5 , 1975', 'chicago bears', 'w 28 - 3', '47578'], ['4', 'october 12 , 1975', 'new york jets', 'w 29 - 21', '47739'], ['5', 'october 19 , 1975', 'detroit lion... |
list of how it 's made episodes | https://en.wikipedia.org/wiki/List_of_How_It%27s_Made_episodes | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15187735-14.html.csv | count | in the " how it 's made " episodes with numbers in the range 170-175 , sporting equipment was featured in six segments . | {'scope': 'subset', 'criterion': 'all', 'value': 'n/a', 'result': '6', 'col': '4', 'subset': {'col': '2', 'criterion': 'less_than_eq', 'value': '175'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_all', 'args': [{'func': 'filter_less_eq', 'args': ['all_rows', 'episode', '175'], 'result': None, 'ind': 0, 'tostr': 'filter_less_eq { all_rows ; episode ; 175 }', 'tointer': 'select the rows whose episode record is less than or equal to 175 .'}, 'segm... | eq { count { filter_all { filter_less_eq { all_rows ; episode ; 175 } ; segment a } } ; 6 } = true | select the rows whose episode record is less than or equal to 175 . among these rows , select the rows whose segment a record is arbitrary . the number of such rows is 6 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'count_2': 2, 'filter_all_1': 1, 'filter_less_eq_0': 0, 'all_rows_5': 5, 'episode_6': 6, '175_7': 7, 'segment a_8': 8, '6_9': 9} | {'eq_3': 'eq', 'result_4': 'true', 'count_2': 'count', 'filter_all_1': 'filter_all', 'filter_less_eq_0': 'filter_less_eq', 'all_rows_5': 'all_rows', 'episode_6': 'episode', '175_7': '175', 'segment a_8': 'segment a', '6_9': '6'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_all_1': [2], 'filter_less_eq_0': [1], 'all_rows_5': [0], 'episode_6': [0], '175_7': [0], 'segment a_8': [1], '6_9': [3]} | ['series ep', 'episode', 'netflix', 'segment a', 'segment b', 'segment c', 'segment d'] | [['14 - 01', '170', 's07e01', 'mini gp motorcycles', 'fig cookies', 'tool boxes', 'pipe bends'], ['14 - 02', '171', 's07e02', 'western revolver s replica', 'arc trainers', 'used - oil furnaces', 'vegetable peelers and s pizza cutter'], ['14 - 03', '172', 's07e03', 'metal s golf club', 's waffle', 'custom wires and s ca... |
77th united states congress | https://en.wikipedia.org/wiki/77th_United_States_Congress | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1958768-3.html.csv | majority | out of the 77th . united states congress 's vacancy instances , most are democrat . | {'scope': 'all', 'col': '2', 'most_or_all': 'most', 'criterion': 'fuzzily_match', 'value': 'd', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'vacator', 'd'], 'result': True, 'ind': 0, 'tointer': 'for the vacator records of all rows , most of them fuzzily match to d .', 'tostr': 'most_eq { all_rows ; vacator ; d } = true'} | most_eq { all_rows ; vacator ; d } = true | for the vacator records of all rows , most of them fuzzily match to d . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'vacator_3': 3, 'd_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'vacator_3': 'vacator', 'd_4': 'd'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'vacator_3': [0], 'd_4': [0]} | ['district', 'vacator', 'reason for change', 'successor', 'date successor seated'] | [['oklahoma 7th', 'sam c massingale ( d )', 'died january 17 , 1941', 'victor wickersham ( d )', 'april 1 , 1941'], ['new york 17th', 'kenneth f simpson ( r )', 'died january 25 , 1941', 'joseph c baldwin ( r )', 'march 11 , 1941'], ['alabama 7th', 'walter w bankhead ( d )', 'resigned february 1 , 1941', 'carter manasc... |
peter arundell | https://en.wikipedia.org/wiki/Peter_Arundell | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1235866-1.html.csv | superlative | from 1963 - 1966 , peter arundell 's highest number of points for team lotus was 11 . | {'scope': 'all', 'col_superlative': '5', 'row_superlative': '2', 'value_mentioned': 'yes', 'max_or_min': 'max', 'other_col': '2', 'subset': None} | {'func': 'and', 'args': [{'func': 'eq', 'args': [{'func': 'max', 'args': ['all_rows', 'points'], 'result': '11', 'ind': 0, 'tostr': 'max { all_rows ; points }', 'tointer': 'the maximum points record of all rows is 11 .'}, '11'], 'result': True, 'ind': 1, 'tostr': 'eq { max { all_rows ; points } ; 11 }', 'tointer': 'the... | and { eq { max { all_rows ; points } ; 11 } ; eq { hop { argmax { all_rows ; points } ; entrant } ; team lotus } } = true | the maximum points record of all rows is 11 . the entrant record of the row with superlative points record is team lotus . | 6 | 6 | {'and_5': 5, 'result_6': 6, 'eq_1': 1, 'max_0': 0, 'all_rows_7': 7, 'points_8': 8, '11_9': 9, 'str_eq_4': 4, 'str_hop_3': 3, 'argmax_2': 2, 'all_rows_10': 10, 'points_11': 11, 'entrant_12': 12, 'team lotus_13': 13} | {'and_5': 'and', 'result_6': 'true', 'eq_1': 'eq', 'max_0': 'max', 'all_rows_7': 'all_rows', 'points_8': 'points', '11_9': '11', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'argmax_2': 'argmax', 'all_rows_10': 'all_rows', 'points_11': 'points', 'entrant_12': 'entrant', 'team lotus_13': 'team lotus'} | {'and_5': [6], 'result_6': [], 'eq_1': [5], 'max_0': [1], 'all_rows_7': [0], 'points_8': [0], '11_9': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'argmax_2': [3], 'all_rows_10': [2], 'points_11': [2], 'entrant_12': [3], 'team lotus_13': [4]} | ['year', 'entrant', 'chassis', 'engine', 'points'] | [['1963', 'team lotus', 'lotus 25', 'climax v8', '0'], ['1964', 'team lotus', 'lotus 25', 'climax v8', '11'], ['1966', 'team lotus', 'lotus 43', 'brm h16', '1'], ['1966', 'team lotus', 'lotus 33', 'brm v8', '1'], ['1966', 'team lotus', 'lotus 33', 'climax v8', '1']] |
2005 world weightlifting championships | https://en.wikipedia.org/wiki/2005_World_Weightlifting_Championships | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10929638-3.html.csv | count | six nations ranked 12th in the 2005 world weightlifting championships-bulgaria , dominican republic , france , slovakia , united states and vietnam . | {'scope': 'all', 'criterion': 'equal', 'value': '12', 'result': '6', 'col': '1', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'rank', '12'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose rank record is equal to 12 .', 'tostr': 'filter_eq { all_rows ; rank ; 12 }'}], 'result': '6', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; rank ... | eq { count { filter_eq { all_rows ; rank ; 12 } } ; 6 } = true | select the rows whose rank record is equal to 12 . the number of such rows is 6 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_eq_0': 0, 'all_rows_4': 4, 'rank_5': 5, '12_6': 6, '6_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_eq_0': 'filter_eq', 'all_rows_4': 'all_rows', 'rank_5': 'rank', '12_6': '12', '6_7': '6'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_eq_0': [1], 'all_rows_4': [0], 'rank_5': [0], '12_6': [0], '6_7': [2]} | ['rank', 'nation', 'gold', 'silver', 'bronze', 'total'] | [['1', 'china', '7', '4', '1', '12'], ['2', 'russia', '2', '4', '4', '10'], ['3', 'thailand', '1', '3', '1', '5'], ['4', 'south korea', '1', '2', '0', '2'], ['5', 'azerbaijan', '1', '0', '0', '1'], ['5', 'chinese taipei', '1', '0', '0', '1'], ['5', 'iran', '1', '0', '0', '1'], ['5', 'kazakhstan', '1', '0', '0', '1'], [... |
fiba eurobasket 2007 squads | https://en.wikipedia.org/wiki/FIBA_EuroBasket_2007_squads | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12962773-14.html.csv | superlative | player goran jagodnik was born before all other players on the fiba eurobasket 2007 squads . | {'scope': 'all', 'col_superlative': '4', 'row_superlative': '9', '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', 'year born'], 'result': None, 'ind': 0, 'tostr': 'argmin { all_rows ; year born }'}, 'player'], 'result': 'goran jagodnik', 'ind': 1, 'tostr': 'hop { argmin { all_rows ; year born } ; player }'}, 'goran jagodnik'], 'result'... | eq { hop { argmin { all_rows ; year born } ; player } ; goran jagodnik } = true | select the row whose year born record of all rows is minimum . the player record of this row is goran jagodnik . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmin_0': 0, 'all_rows_4': 4, 'year born_5': 5, 'player_6': 6, 'goran jagodnik_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmin_0': 'argmin', 'all_rows_4': 'all_rows', 'year born_5': 'year born', 'player_6': 'player', 'goran jagodnik_7': 'goran jagodnik'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmin_0': [1], 'all_rows_4': [0], 'year born_5': [0], 'player_6': [1], 'goran jagodnik_7': [2]} | ['player', 'height', 'position', 'year born', 'current club'] | [['sandi čebular', '1.94', 'guard', '1986', 'unattached'], ['jaka lakovič', '1.86', 'guard', '1978', 'axa fc barcelona'], ['aleksandar ćapin', '1.86', 'guard', '1982', 'whirlpool varese'], ['goran dragić', '1.88', 'guard', '1986', 'tau cerámica'], ['rasho nesterovič', '2.14', 'center', '1976', 'toronto raptors'], ['mat... |
iran at the asian games | https://en.wikipedia.org/wiki/Iran_at_the_Asian_Games | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10882501-12.html.csv | majority | most of the participants from iran at the asian games won at least one silver medal . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'greater_than_eq', 'value': '1', 'subset': None} | {'func': 'most_greater_eq', 'args': ['all_rows', 'silver', '1'], 'result': True, 'ind': 0, 'tointer': 'for the silver records of all rows , most of them are greater than or equal to 1 .', 'tostr': 'most_greater_eq { all_rows ; silver ; 1 } = true'} | most_greater_eq { all_rows ; silver ; 1 } = true | for the silver records of all rows , most of them are greater than or equal to 1 . | 1 | 1 | {'most_greater_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'silver_3': 3, '1_4': 4} | {'most_greater_eq_0': 'most_greater_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'silver_3': 'silver', '1_4': '1'} | {'most_greater_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'silver_3': [0], '1_4': [0]} | ['athlete', 'sport', 'asian games', 'gold', 'silver', 'bronze', 'total'] | [['mohammad nassiri', 'weightlifting', '1966 - 1974', '4', '1', '0', '5'], ['moslem eskandar - filabi', 'wrestling', '1966 - 1974', '4', '0', '0', '4'], ['reza soukhteh - saraei', 'wrestling', '1974 - 1990', '3', '1', '0', '4'], ['houshang kargarnejad', 'weightlifting', '1970 - 1974', '3', '0', '1', '4'], ['alireza hei... |
wmbj | https://en.wikipedia.org/wiki/WMBJ | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14996829-1.html.csv | superlative | the frequency 105.1 fm has the highest erp of all the wmbj frequencies . | {'scope': 'all', 'col_superlative': '4', 'row_superlative': '6', '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', 'erp w'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; erp w }'}, 'frequency mhz'], 'result': '105.1 fm', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; erp w } ; frequency mhz }'}, '105.1 fm'], 'result': True, 'i... | eq { hop { argmax { all_rows ; erp w } ; frequency mhz } ; 105.1 fm } = true | select the row whose erp w record of all rows is maximum . the frequency mhz record of this row is 105.1 fm . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'erp w_5': 5, 'frequency mhz_6': 6, '105.1 fm_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'erp w_5': 'erp w', 'frequency mhz_6': 'frequency mhz', '105.1 fm_7': '105.1 fm'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'erp w_5': [0], 'frequency mhz_6': [1], '105.1 fm_7': [2]} | ['call sign', 'frequency mhz', 'city of license', 'erp w', 'class', 'fcc info'] | [['w203bq', '88.5 fm', 'walterboro , sc', '30', 'd', 'fcc'], ['w298aj', '107.5 fm', 'boone , nc', '10', 'd', 'fcc'], ['w227bk', '93.3 fm', 'surfside beach , sc', '27', 'd', 'fcc'], ['w238bi', '95.5 fm', 'georgetown , sc', '10', 'd', 'fcc'], ['w283av', '104.5 fm', 'little river , sc', '5', 'd', 'fcc'], ['w286ay', '105.1... |
2008 - 09 chicago bulls season | https://en.wikipedia.org/wiki/2008%E2%80%9309_Chicago_Bulls_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17058151-11.html.csv | majority | most of the games took place in the month of april . | {'scope': 'all', 'col': '2', 'most_or_all': 'most', 'criterion': 'fuzzily_match', 'value': 'april', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'date', 'april'], 'result': True, 'ind': 0, 'tointer': 'for the date records of all rows , most of them fuzzily match to april .', 'tostr': 'most_eq { all_rows ; date ; april } = true'} | most_eq { all_rows ; date ; april } = true | for the date records of all rows , most of them fuzzily match to april . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'date_3': 3, 'april_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'date_3': 'date', 'april_4': 'april'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'date_3': [0], 'april_4': [0]} | ['game', 'date', 'team', 'score', 'location attendance', 'series'] | [['1', 'april 18', 'boston', 'w 105 - 103 ( ot )', 'td banknorth garden 18624', '1 - 0'], ['2', 'april 20', 'boston', 'l 115 - 118 ( ot )', 'td banknorth garden 18624', '1 - 1'], ['3', 'april 23', 'boston', 'l 86 - 107 ( ot )', 'united center 23072', '1 - 2'], ['4', 'april 26', 'boston', 'w 121 - 118 ( 2ot )', 'united ... |
dragon zakura ( tv series ) | https://en.wikipedia.org/wiki/Dragon_Zakura_%28TV_series%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-25847911-1.html.csv | aggregation | the average ratings among episodes 2 through 10 of dragon zakura is 15.7 % . | {'scope': 'all', 'col': '6', 'type': 'average', 'result': '15.7 %', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'ratings'], 'result': '15.7 %', 'ind': 0, 'tostr': 'avg { all_rows ; ratings }'}, '15.7 %'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; ratings } ; 15.7 % } = true', 'tointer': 'the average of the ratings record of all rows is 15.7 ... | round_eq { avg { all_rows ; ratings } ; 15.7 % } = true | the average of the ratings record of all rows is 15.7 % . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'ratings_4': 4, '15.7%_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'ratings_4': 'ratings', '15.7%_5': '15.7 %'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'ratings_4': [0], '15.7%_5': [1]} | ['', 'episode title', 'romanized title', 'translation of title', 'broadcast date', 'ratings'] | [['ep 2', '自分の弱さを知れ !', 'jibun no yowasa wo shire !', 'know your weaknesses !', 'july 15 , 2005', '16.5 %'], ['ep 3', '遊べ!受験はスポーツだ !', 'asobe ! juken wa supootsu da !', 'entrance exams are sports , so play !', 'july 22 , 2005', '13.8 %'], ['ep 4', '壁にぶつかるまで我慢しろ', 'kabe ni butsukaru made gaman shiro', 'hold out until yo... |
wru division five west | https://en.wikipedia.org/wiki/WRU_Division_Five_West | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17941032-3.html.csv | aggregation | the total tries scored in wru division five west was 475 . | {'scope': 'all', 'col': '7', 'type': 'sum', 'result': '475', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': ['all_rows', 'tries for'], 'result': '475', 'ind': 0, 'tostr': 'sum { all_rows ; tries for }'}, '475'], 'result': True, 'ind': 1, 'tostr': 'round_eq { sum { all_rows ; tries for } ; 475 } = true', 'tointer': 'the sum of the tries for record of all rows is 475 .'} | round_eq { sum { all_rows ; tries for } ; 475 } = true | the sum of the tries for record of all rows is 475 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'sum_0': 0, 'all_rows_3': 3, 'tries for_4': 4, '475_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'sum_0': 'sum', 'all_rows_3': 'all_rows', 'tries for_4': 'tries for', '475_5': '475'} | {'eq_1': [2], 'result_2': [], 'sum_0': [1], 'all_rows_3': [0], 'tries for_4': [0], '475_5': [1]} | ['club', 'played', 'drawn', 'lost', 'points for', 'points against', 'tries for', 'tries against', 'try bonus', 'losing bonus', 'points'] | [['club', 'played', 'drawn', 'lost', 'points for', 'points against', 'tries for', 'tries against', 'try bonus', 'losing bonus', 'points'], ['burry port rfc', '20', '0', '2', '438', '180', '64', '23', '8', '0', '80'], ['cefneithin rfc', '20', '0', '5', '379', '206', '55', '25', '6', '3', '69'], ['aberaeron rfc', '20', '... |
communist league ( new zealand ) | https://en.wikipedia.org/wiki/Communist_League_%28New_Zealand%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1110530-1.html.csv | superlative | the communist league won their highest amount of votes in the 1990 election . | {'scope': 'all', 'col_superlative': '4', 'row_superlative': '1', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '1', 'subset': None} | {'func': 'eq', 'args': [{'func': 'num_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'votes'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; votes }'}, 'election'], 'result': '1990', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; votes } ; election }'}, '1990'], 'result': True, 'ind': 2, 'tostr': 'eq {... | eq { hop { argmax { all_rows ; votes } ; election } ; 1990 } = true | select the row whose votes record of all rows is maximum . the election record of this row is 1990 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'num_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'votes_5': 5, 'election_6': 6, '1990_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'num_hop_1': 'num_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'votes_5': 'votes', 'election_6': 'election', '1990_7': '1990'} | {'eq_2': [3], 'result_3': [], 'num_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'votes_5': [0], 'election_6': [1], '1990_7': [2]} | ['election', 'candidates', 'seats won', 'votes', '% of vote'] | [['1990', '9', '0', '210', '0.01'], ['1993', '2', '0', '84', '0.00'], ['1996', '2', '0', '99', '0.00'], ['1999', '2', '0', '89', '0.00'], ['2002', '2', '0', '171', '0.01'], ['2005', '2', '0', '107', '0.00'], ['2008', '2', '0', '74', '0.00']] |
1961 washington redskins season | https://en.wikipedia.org/wiki/1961_Washington_Redskins_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15122858-2.html.csv | majority | the 1961 washington redskins lost all of their games that were played in the month of october . | {'scope': 'subset', 'col': '4', 'most_or_all': 'all', 'criterion': 'fuzzily_match', 'value': 'l', 'subset': {'col': '2', 'criterion': 'fuzzily_match', 'value': 'october'}} | {'func': 'all_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'date', 'october'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; date ; october }', 'tointer': 'select the rows whose date record fuzzily matches to october .'}, 'result', 'l'], 'result': True, 'ind': 1, 'tointer': 'select the ... | all_eq { filter_eq { all_rows ; date ; october } ; result ; l } = true | select the rows whose date record fuzzily matches to october . for the result records of these rows , all of them fuzzily match to l . | 2 | 2 | {'all_str_eq_1': 1, 'result_2': 2, 'filter_str_eq_0': 0, 'all_rows_3': 3, 'date_4': 4, 'october_5': 5, 'result_6': 6, 'l_7': 7} | {'all_str_eq_1': 'all_str_eq', 'result_2': 'true', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_3': 'all_rows', 'date_4': 'date', 'october_5': 'october', 'result_6': 'result', 'l_7': 'l'} | {'all_str_eq_1': [2], 'result_2': [], 'filter_str_eq_0': [1], 'all_rows_3': [0], 'date_4': [0], 'october_5': [0], 'result_6': [1], 'l_7': [1]} | ['week', 'date', 'opponent', 'result', 'attendance'] | [['1', 'september 17 , 1961', 'san francisco 49ers', 'l 35 - 3', '43142'], ['2', 'september 24 , 1961', 'philadelphia eagles', 'l 14 - 7', '50108'], ['3', 'october 1 , 1961', 'new york giants', 'l 24 - 21', '36767'], ['4', 'october 8 , 1961', 'cleveland browns', 'l 31 - 7', '46186'], ['5', 'october 15 , 1961', 'pittsbu... |
list of highest - grossing bollywood films | https://en.wikipedia.org/wiki/List_of_highest-grossing_Bollywood_films | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11872185-8.html.csv | superlative | the bollywood movie chennai express has had the highest net gross figures of the first week . | {'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', 'opening week nett gross'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; opening week nett gross }'}, 'movie'], 'result': 'chennai express', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; opening week nett gross }... | eq { hop { argmax { all_rows ; opening week nett gross } ; movie } ; chennai express } = true | select the row whose opening week nett gross record of all rows is maximum . the movie record of this row is chennai express . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'opening week nett gross_5': 5, 'movie_6': 6, 'chennai express_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'opening week nett gross_5': 'opening week nett gross', 'movie_6': 'movie', 'chennai express_7': 'chennai express'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'opening week nett gross_5': [0], 'movie_6': [1], 'chennai express_7': [2]} | ['rank', 'movie', 'year', 'studio ( s )', 'opening week nett gross'] | [['1', 'chennai express', '2013', 'red chillies entertainment', '156 , 70 , 00000'], ['2', 'ek tha tiger', '2012', 'yash raj films', '133 , 22 , 00000'], ['3', 'yeh jawaani hai deewani', '2013', 'dharma productions', '106 , 00 , 00000'], ['4', 'bodyguard', '2011', 'reliance entertainment', '100 , 15 , 00000'], ['5', 'd... |
coins of the republic of ireland | https://en.wikipedia.org/wiki/Coins_of_the_Republic_of_Ireland | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1682865-1.html.csv | majority | of the coins of the republic of ireland , all of them were introduced on december 12 , 1928 . | {'scope': 'all', 'col': '5', 'most_or_all': 'all', 'criterion': 'equal', 'value': '12 december 1928', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'introduction', '12 december 1928'], 'result': True, 'ind': 0, 'tointer': 'for the introduction records of all rows , all of them fuzzily match to 12 december 1928 .', 'tostr': 'all_eq { all_rows ; introduction ; 12 december 1928 } = true'} | all_eq { all_rows ; introduction ; 12 december 1928 } = true | for the introduction records of all rows , all of them fuzzily match to 12 december 1928 . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'introduction_3': 3, '12 december 1928_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'introduction_3': 'introduction', '12 december 1928_4': '12 december 1928'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'introduction_3': [0], '12 december 1928_4': [0]} | ['english name', 'irish name', 'numeral', 'reverse', 'introduction', 'withdrawal', '1 fraction'] | [['farthing', 'feoirling', '¼ d', 'woodcock', '12 december 1928', '1 january 1962', '1 / 960'], ['halfpenny', 'leath phingin', '½ d', 'sow and litter', '12 december 1928', '1 august 1969', '1 / 480'], ['penny', 'pingin', '1d', 'hen and chickens', '12 december 1928', '1 january 1972', '1 / 240'], ['threepence', 'leath r... |
1966 british grand prix | https://en.wikipedia.org/wiki/1966_British_Grand_Prix | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1122355-1.html.csv | ordinal | dan gurney drove the second lowest amount of laps in the 1966 british grand prix . | {'row': '19', 'col': '3', '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', 'laps', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; laps ; 2 }'}, 'driver'], 'result': 'dan gurney', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; laps ; 2 } ; driver }'}, 'dan gurney'], 'resul... | eq { hop { nth_argmin { all_rows ; laps ; 2 } ; driver } ; dan gurney } = true | select the row whose laps record of all rows is 2nd minimum . the driver record of this row is dan gurney . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'laps_5': 5, '2_6': 6, 'driver_7': 7, 'dan gurney_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', 'laps_5': 'laps', '2_6': '2', 'driver_7': 'driver', 'dan gurney_8': 'dan gurney'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'laps_5': [0], '2_6': [0], 'driver_7': [1], 'dan gurney_8': [2]} | ['driver', 'constructor', 'laps', 'time / retired', 'grid'] | [['jack brabham', 'brabham - repco', '80', '2:13:13.4', '1'], ['denny hulme', 'brabham - repco', '80', '+ 9.6', '2'], ['graham hill', 'brm', '79', '+ 1 lap', '4'], ['jim clark', 'lotus - climax', '79', '+ 1 lap', '5'], ['jochen rindt', 'cooper - maserati', '79', '+ 1 lap', '7'], ['bruce mclaren', 'mclaren - serenissima... |
1981 vfl season | https://en.wikipedia.org/wiki/1981_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10823950-14.html.csv | count | there were 6 game venues used during the 1981 vfl season . | {'scope': 'all', 'criterion': 'all', 'value': 'n/a', 'result': '6', 'col': '5', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_all', 'args': ['all_rows', 'venue'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose venue record is arbitrary .', 'tostr': 'filter_all { all_rows ; venue }'}], 'result': '6', 'ind': 1, 'tostr': 'count { filter_all { all_rows ; venue } }', ... | eq { count { filter_all { all_rows ; venue } } ; 6 } = true | select the rows whose venue record is arbitrary . the number of such rows is 6 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_all_0': 0, 'all_rows_4': 4, 'venue_5': 5, '6_6': 6} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_all_0': 'filter_all', 'all_rows_4': 'all_rows', 'venue_5': 'venue', '6_6': '6'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_all_0': [1], 'all_rows_4': [0], 'venue_5': [0], '6_6': [2]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['carlton', '15.25 ( 115 )', 'footscray', '5.4 ( 34 )', 'princes park', '17419', '27 june 1981'], ['richmond', '21.23 ( 149 )', 'north melbourne', '15.16 ( 106 )', 'mcg', '31212', '27 june 1981'], ['st kilda', '18.19 ( 127 )', 'melbourne', '8.7 ( 55 )', 'moorabbin oval', '14058', '27 june 1981'], ['south melbourne', '... |
2008 - 09 milwaukee bucks season | https://en.wikipedia.org/wiki/2008%E2%80%9309_Milwaukee_Bucks_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17058116-8.html.csv | majority | the majority of the time milwaukee lost the game . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'fuzzily_match', 'value': 'l', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'score', 'l'], 'result': True, 'ind': 0, 'tointer': 'for the score records of all rows , most of them fuzzily match to l .', 'tostr': 'most_eq { all_rows ; score ; l } = true'} | most_eq { all_rows ; score ; l } = true | for the score records of all rows , most of them fuzzily match to l . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'score_3': 3, 'l_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'score_3': 'score', 'l_4': 'l'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'score_3': [0], 'l_4': [0]} | ['game', 'date', 'team', 'score', 'high points', 'high rebounds', 'location attendance', 'record'] | [['52', 'february 3', 'new jersey', 'l 85 - 99 ( ot )', 'richard jefferson ( 27 )', 'dan gadzuric ( 9 )', 'izod center 10102', '24 - 28'], ['53', 'february 7', 'detroit', 'l 121 - 126 ( ot )', 'ramon sessions ( 44 )', 'francisco elson ( 8 )', 'bradley center 17297', '24 - 29'], ['54', 'february 9', 'houston', 'w 124 - ... |
2007 - 08 fis ski jumping world cup | https://en.wikipedia.org/wiki/2007%E2%80%9308_FIS_Ski_Jumping_World_Cup | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14407512-6.html.csv | comparative | andreas kofler scored more total points than tom hilde in the 2007 - 08 fis ski jumping world cup . | {'row_1': '2', 'row_2': '3', 'col': '6', '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', 'name', 'andreas kofler'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose name record fuzzily matches to andreas kofler .', 'tostr': 'filter_eq { all_rows ; name ; andreas kofler }'}, 'points'], 'result... | greater { hop { filter_eq { all_rows ; name ; andreas kofler } ; points } ; hop { filter_eq { all_rows ; name ; tom hilde } ; points } } = true | select the rows whose name record fuzzily matches to andreas kofler . take the points record of this row . select the rows whose name record fuzzily matches to tom hilde . take the points 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, 'name_7': 7, 'andreas kofler_8': 8, 'points_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'name_11': 11, 'tom hilde_12': 12, 'points_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', 'name_7': 'name', 'andreas kofler_8': 'andreas kofler', 'points_9': 'points', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'name_11': 'name', 'tom ... | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'name_7': [0], 'andreas kofler_8': [0], 'points_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'name_11': [1], 'tom hilde_12': [1], 'points_13': [3]} | ['rank', 'name', 'nationality', '1st ( m )', '2nd ( m )', 'points', 'overall wc points ( rank )'] | [['1', 'thomas morgenstern', 'aut', '132.5', '133.0', '260.4', '600 ( 1 )'], ['2', 'andreas kofler', 'aut', '134.5', '128.5', '254.4', '248 ( 6 )'], ['3', 'tom hilde', 'nor', '133.5', '129.5', '252.9', '256 ( 4 )'], ['4', 'gregor schlierenzauer', 'aut', '126.5', '134.5', '249.8', '349 ( 2 )'], ['5', 'wolfgang loitzl', ... |
50 metre rifle prone | https://en.wikipedia.org/wiki/50_metre_rifle_prone | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18656178-1.html.csv | ordinal | in the 50 metre rifle prone , cairo was the place of the earliest one between 1962 and 1978 . | {'scope': 'subset', 'row': '1', 'col': '1', 'order': '1', 'col_other': '2', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'subset': {'col': '1', 'criterion': 'less_than_eq', 'value': '1978'}} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': [{'func': 'filter_less_eq', 'args': ['all_rows', 'year', '1978'], 'result': None, 'ind': 0, 'tostr': 'filter_less_eq { all_rows ; year ; 1978 }', 'tointer': 'select the rows whose year record is less than or equal to 1978 .'}, 'year... | eq { hop { nth_argmin { filter_less_eq { all_rows ; year ; 1978 } ; year ; 1 } ; place } ; cairo } = true | select the rows whose year record is less than or equal to 1978 . select the row whose year record of these rows is 1st minimum . the place record of this row is cairo . | 4 | 4 | {'str_eq_3': 3, 'result_4': 4, 'str_hop_2': 2, 'nth_argmin_1': 1, 'filter_less_eq_0': 0, 'all_rows_5': 5, 'year_6': 6, '1978_7': 7, 'year_8': 8, '1_9': 9, 'place_10': 10, 'cairo_11': 11} | {'str_eq_3': 'str_eq', 'result_4': 'true', 'str_hop_2': 'str_hop', 'nth_argmin_1': 'nth_argmin', 'filter_less_eq_0': 'filter_less_eq', 'all_rows_5': 'all_rows', 'year_6': 'year', '1978_7': '1978', 'year_8': 'year', '1_9': '1', 'place_10': 'place', 'cairo_11': 'cairo'} | {'str_eq_3': [4], 'result_4': [], 'str_hop_2': [3], 'nth_argmin_1': [2], 'filter_less_eq_0': [1], 'all_rows_5': [0], 'year_6': [0], '1978_7': [0], 'year_8': [1], '1_9': [1], 'place_10': [2], 'cairo_11': [3]} | ['year', 'place', 'gold', 'silver', 'bronze'] | [['1962', 'cairo', 'karl wenk ( frg )', 'vladimir chuian ( urs )', 'james enoch hill ( usa )'], ['1966', 'wiesbaden', 'david boyd ( usa )', 'jerzy nowicki ( pol )', 'bill krilling ( usa )'], ['1970', 'phoenix', 'manfred fiess ( rsa )', 'esa einari kervinen ( fin )', 'klaus zaehringer ( frg )'], ['1974', 'thun', 'karel ... |
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 | majority | all of the players that the atlanta hawks drafted were from the united states . | {'scope': 'all', 'col': '4', 'most_or_all': 'all', 'criterion': 'equal', 'value': 'united states', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'nationality', 'united states'], 'result': True, 'ind': 0, 'tointer': 'for the nationality records of all rows , all of them fuzzily match to united states .', 'tostr': 'all_eq { all_rows ; nationality ; united states } = true'} | all_eq { all_rows ; nationality ; united states } = true | for the nationality 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, 'nationality_3': 3, 'united states_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'nationality_3': 'nationality', 'united states_4': 'united states'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'nationality_3': [0], 'united states_4': [0]} | ['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', 'jame... |
1975 vfl season | https://en.wikipedia.org/wiki/1975_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10883333-3.html.csv | majority | all games of the 1975 vfl season were played on the 19th of april . | {'scope': 'all', 'col': '7', 'most_or_all': 'all', 'criterion': 'equal', 'value': '19 april 1975', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'date', '19 april 1975'], 'result': True, 'ind': 0, 'tointer': 'for the date records of all rows , all of them fuzzily match to 19 april 1975 .', 'tostr': 'all_eq { all_rows ; date ; 19 april 1975 } = true'} | all_eq { all_rows ; date ; 19 april 1975 } = true | for the date records of all rows , all of them fuzzily match to 19 april 1975 . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'date_3': 3, '19 april 1975_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'date_3': 'date', '19 april 1975_4': '19 april 1975'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'date_3': [0], '19 april 1975_4': [0]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['st kilda', '11.21 ( 87 )', 'south melbourne', '9.17 ( 71 )', 'moorabbin oval', '15736', '19 april 1975'], ['essendon', '16.21 ( 117 )', 'melbourne', '15.10 ( 100 )', 'windy hill', '22824', '19 april 1975'], ['carlton', '14.18 ( 102 )', 'north melbourne', '9.12 ( 66 )', 'princes park', '23824', '19 april 1975'], ['ge... |
the women 's ashes | https://en.wikipedia.org/wiki/The_Women%27s_Ashes | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-2554479-2.html.csv | aggregation | the average number of tests won by england during all series is 0.47 . | {'scope': 'all', 'col': '7', 'type': 'average', 'result': '0.47', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'tests won by england'], 'result': '0.47', 'ind': 0, 'tostr': 'avg { all_rows ; tests won by england }'}, '0.47'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; tests won by england } ; 0.47 } = true', 'tointer': 'the average of the te... | round_eq { avg { all_rows ; tests won by england } ; 0.47 } = true | the average of the tests won by england record of all rows is 0.47 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'tests won by england_4': 4, '0.47_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'tests won by england_4': 'tests won by england', '0.47_5': '0.47'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'tests won by england_4': [0], '0.47_5': [1]} | ['series', 'season', 'played in', 'first match', 'tests played ( sched )', 'tests won by australia', 'tests won by england', 'tests drawn', 'series result', 'holder at series end'] | [['1', '1934 - 35', 'australia', '28 december 1934', '3', '0', '2', '1', 'england', 'england'], ['2', '1937', 'england', '12 june 1937', '3', '1', '1', '1', 'drawn', 'england'], ['3', '1949 - 50', 'australia', '15 january 1949', '3', '1', '0', '2', 'australia', 'australia'], ['4', '1951', 'england', '16 june 1951', '3'... |
united states house of representatives elections , 1988 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1988 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1341577-47.html.csv | ordinal | out of the us virginia house of representatives voted in 1988 , thomas j. billey , jr. was the first originally elected to serve . | {'row': '1', 'col': '4', 'order': '1', 'col_other': '2', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'first elected', '1'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; first elected ; 1 }'}, 'incumbent'], 'result': 'thomas j bliley , jr', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; first elected ;... | eq { hop { nth_argmin { all_rows ; first elected ; 1 } ; incumbent } ; thomas j bliley , jr } = true | select the row whose first elected record of all rows is 1st minimum . the incumbent record of this row is thomas j bliley , jr . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'first elected_5': 5, '1_6': 6, 'incumbent_7': 7, 'thomas j bliley , jr_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmin_0': 'nth_argmin', 'all_rows_4': 'all_rows', 'first elected_5': 'first elected', '1_6': '1', 'incumbent_7': 'incumbent', 'thomas j bliley , jr_8': 'thomas j bliley , jr'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'first elected_5': [0], '1_6': [0], 'incumbent_7': [1], 'thomas j bliley , jr_8': [2]} | ['district', 'incumbent', 'party', 'first elected', 'result', 'candidates'] | [['virginia 3', 'thomas j bliley , jr', 'republican', '1980', 're - elected', 'thomas j bliley , jr ( r ) unopposed'], ['virginia 4', 'norman sisisky', 'democratic', '1982', 're - elected', 'norman sisisky ( d ) unopposed'], ['virginia 6', 'jim olin', 'democratic', '1982', 're - elected', 'jim olin ( d ) 63.9 % charles... |
2009 - 14 icc world cricket league | https://en.wikipedia.org/wiki/2009%E2%80%9314_ICC_World_Cricket_League | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-22577693-1.html.csv | superlative | 2011 division seven had the most number of runs scored with 72 by kuwait . | {'scope': 'all', 'col_superlative': '5', 'row_superlative': '8', 'value_mentioned': 'yes', 'max_or_min': 'max', 'other_col': '1', 'subset': None} | {'func': 'and', 'args': [{'func': 'eq', 'args': [{'func': 'max', 'args': ['all_rows', 'result'], 'result': 'kuwait won by 72 runs scorecard', 'ind': 0, 'tostr': 'max { all_rows ; result }', 'tointer': 'the maximum result record of all rows is kuwait won by 72 runs scorecard .'}, 'kuwait won by 72 runs scorecard'], 'res... | and { eq { max { all_rows ; result } ; kuwait won by 72 runs scorecard } ; eq { hop { argmax { all_rows ; result } ; details } ; 2011 division seven } } = true | the maximum result record of all rows is kuwait won by 72 runs scorecard . the details record of the row with superlative result record is 2011 division seven . | 6 | 6 | {'and_5': 5, 'result_6': 6, 'eq_1': 1, 'max_0': 0, 'all_rows_7': 7, 'result_8': 8, 'kuwait won by 72 runs scorecard_9': 9, 'str_eq_4': 4, 'str_hop_3': 3, 'argmax_2': 2, 'all_rows_10': 10, 'result_11': 11, 'details_12': 12, '2011 division seven_13': 13} | {'and_5': 'and', 'result_6': 'true', 'eq_1': 'eq', 'max_0': 'max', 'all_rows_7': 'all_rows', 'result_8': 'result', 'kuwait won by 72 runs scorecard_9': 'kuwait won by 72 runs scorecard', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'argmax_2': 'argmax', 'all_rows_10': 'all_rows', 'result_11': 'result', 'details_12': '... | {'and_5': [6], 'result_6': [], 'eq_1': [5], 'max_0': [1], 'all_rows_7': [0], 'result_8': [0], 'kuwait won by 72 runs scorecard_9': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'argmax_2': [3], 'all_rows_10': [2], 'result_11': [2], 'details_12': [3], '2011 division seven_13': [4]} | ['details', 'host nation ( s )', 'final venue', 'winner', 'result', 'runner - up'] | [['2009 division seven', 'guernsey', 'king george v sports ground , castel', '207 / 7 ( 46.1 overs )', 'bahrain won by 3 wickets scorecard', 'guernsey 204 / 9 ( 50.0 overs )'], ['2009 division six', 'singapore', 'kallang cricket ground , singapore', '242 / 8 ( 50.0 overs )', 'singapore won by 68 runs scorecard', '174 a... |
i am ... ( ayumi hamasaki album ) | https://en.wikipedia.org/wiki/I_Am..._%28Ayumi_Hamasaki_album%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1754908-3.html.csv | superlative | the 'm ' track of the i am ... ( ayumi hamasaki album ) had the most sales . | {'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', 'sales'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; sales }'}, 'title'], 'result': 'm', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; sales } ; title }'}, 'm'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { a... | eq { hop { argmax { all_rows ; sales } ; title } ; m } = true | select the row whose sales record of all rows is maximum . the title record of this row is m . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'sales_5': 5, 'title_6': 6, 'm_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'sales_5': 'sales', 'title_6': 'title', 'm_7': 'm'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'sales_5': [0], 'title_6': [1], 'm_7': [2]} | ['date', 'title', 'peak position', 'weeks', 'sales'] | [['december 13 , 2000', 'm', '1', '18 weeks', '1319070'], ['january 31 , 2001', 'evolution', '1', '17 weeks', '955250'], ['march 7 , 2001', 'never ever', '1', '12 weeks', '756980'], ['may 16 , 2001', 'endless sorrow', '1', '11 weeks', '768510'], ['july 11 , 2001', 'unite !', '1', '17 weeks', '571110'], ['september 27 ,... |
intel core | https://en.wikipedia.org/wiki/Intel_Core | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-24538587-11.html.csv | majority | all of the intel core processors have an l3 cache of 3 mb . | {'scope': 'all', 'col': '4', 'most_or_all': 'all', 'criterion': 'equal', 'value': '3 mb', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'l3 cache', '3 mb'], 'result': True, 'ind': 0, 'tointer': 'for the l3 cache records of all rows , all of them fuzzily match to 3 mb .', 'tostr': 'all_eq { all_rows ; l3 cache ; 3 mb } = true'} | all_eq { all_rows ; l3 cache ; 3 mb } = true | for the l3 cache records of all rows , all of them fuzzily match to 3 mb . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'l3 cache_3': 3, '3 mb_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'l3 cache_3': 'l3 cache', '3 mb_4': '3 mb'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'l3 cache_3': [0], '3 mb_4': [0]} | ['codename ( main article )', 'brand name ( list )', 'cores', 'l3 cache', 'socket', 'tdp', 'i / o bus'] | [['sandy bridge ( desktop )', 'core i3 - 21xx', '2', '3 mb', 'lga 1155', '65 w', 'direct media interface , integrated gpu'], ['sandy bridge ( desktop )', 'core i3 - 21xxt', '2', '3 mb', 'lga 1155', '35 w', 'direct media interface , integrated gpu'], ['ivy bridge ( desktop )', 'core i3 - 32xxt', '2', '3 mb', 'lga 1155',... |
1960 st. louis cardinals ( nfl ) season | https://en.wikipedia.org/wiki/1960_St._Louis_Cardinals_%28NFL%29_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16642141-1.html.csv | unique | in the 1960 st. louis cardinals ( nfl ) season , when the game was in december , the only game that was a loss was when the opponent was the philadelphia eagles . | {'scope': 'subset', 'row': '11', 'col': '4', 'col_other': '3', 'criterion': 'fuzzily_match', 'value': 'l', 'subset': {'col': '2', 'criterion': 'fuzzily_match', 'value': 'december'}} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'date', 'december'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; date ; december }', 'tointer': 'select the rows whose date record fuzzily matches to december .'}, 'result'... | and { only { filter_eq { filter_eq { all_rows ; date ; december } ; result ; l } } ; eq { hop { filter_eq { filter_eq { all_rows ; date ; december } ; result ; l } ; opponent } ; philadelphia eagles } } = true | select the rows whose date record fuzzily matches to december . among these rows , select the rows whose result record fuzzily matches to l . there is only one such row in the table . the opponent record of this unqiue row is philadelphia eagles . | 8 | 6 | {'and_5': 5, 'result_6': 6, 'only_2': 2, 'filter_str_eq_1': 1, 'filter_str_eq_0': 0, 'all_rows_7': 7, 'date_8': 8, 'december_9': 9, 'result_10': 10, 'l_11': 11, 'str_eq_4': 4, 'str_hop_3': 3, 'opponent_12': 12, 'philadelphia eagles_13': 13} | {'and_5': 'and', 'result_6': 'true', 'only_2': 'only', 'filter_str_eq_1': 'filter_str_eq', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_7': 'all_rows', 'date_8': 'date', 'december_9': 'december', 'result_10': 'result', 'l_11': 'l', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'opponent_12': 'opponent', 'philadelphia ... | {'and_5': [6], 'result_6': [], 'only_2': [5], 'filter_str_eq_1': [2, 3], 'filter_str_eq_0': [1], 'all_rows_7': [0], 'date_8': [0], 'december_9': [0], 'result_10': [1], 'l_11': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'opponent_12': [3], 'philadelphia eagles_13': [4]} | ['week', 'date', 'opponent', 'result', 'attendance'] | [['1', 'september 23 , 1960', 'los angeles rams', 'w 43 - 21', '47448'], ['2', 'october 2 , 1960', 'new york giants', 'l 35 - 14', '26089'], ['3', 'october 9 , 1960', 'philadelphia eagles', 'l 31 - 27', '33701'], ['4', 'october 16 , 1960', 'pittsburgh steelers', 'l 27 - 14', '22971'], ['5', 'october 23 , 1960', 'dallas... |
list of number - one singles of 1981 ( canada ) | https://en.wikipedia.org/wiki/List_of_number-one_singles_of_1981_%28Canada%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15476957-1.html.csv | ordinal | the song ' ( just like ) starting over ' spent the second highest amount of weeks on top of the 1981 canadian chart . | {'row': '1', 'col': '3', 'order': '2', 'col_other': '4', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'weeks on top', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; weeks on top ; 2 }'}, 'song'], 'result': '( just like ) starting over', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; weeks on top ; ... | eq { hop { nth_argmax { all_rows ; weeks on top ; 2 } ; song } ; ( just like ) starting over } = true | select the row whose weeks on top record of all rows is 2nd maximum . the song record of this row is ( just like ) starting over . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'weeks on top_5': 5, '2_6': 6, 'song_7': 7, '(just like) starting over_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', 'weeks on top_5': 'weeks on top', '2_6': '2', 'song_7': 'song', '(just like) starting over_8': '( just like ) starting over'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'weeks on top_5': [0], '2_6': [0], 'song_7': [1], '(just like) starting over_8': [2]} | ['volume : issue', 'issue date ( s )', 'weeks on top', 'song', 'artist'] | [['34:6 - 8', '20 december 1980 - 31 january 1981', '7', '( just like ) starting over', 'john lennon'], ['34:9 - 12', '7 - 28 february', '4', 'the tide is high', 'blondie'], ['34:13', '7 march', '1', 'the best of times', 'styx'], ['34:14 - 15', '14 - 21 march', '2', 'woman', 'john lennon'], ['34:16 - 18', '28 march - 1... |
socialist destourian party | https://en.wikipedia.org/wiki/Socialist_Destourian_Party | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-13746866-2.html.csv | unique | 1981 was the only year that the socialist destourian party did not receive 100 % of the votes . | {'scope': 'all', 'row': '5', 'col': '4', 'col_other': '1', 'criterion': 'not_equal', 'value': '100 %', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_not_eq', 'args': ['all_rows', 'percentage of votes', '100 %'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose percentage of votes record does not match to 100 % .', 'tostr': 'filter_not_eq { all_rows ; percentage of votes ; 100 % }'}],... | and { only { filter_not_eq { all_rows ; percentage of votes ; 100 % } } ; eq { hop { filter_not_eq { all_rows ; percentage of votes ; 100 % } ; election date } ; 1981 } } = true | select the rows whose percentage of votes record does not match to 100 % . there is only one such row in the table . the election date record of this unqiue row is 1981 . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_not_eq_0': 0, 'all_rows_6': 6, 'percentage of votes_7': 7, '100%_8': 8, 'eq_3': 3, 'num_hop_2': 2, 'election date_9': 9, '1981_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', 'percentage of votes_7': 'percentage of votes', '100%_8': '100 %', 'eq_3': 'eq', 'num_hop_2': 'num_hop', 'election date_9': 'election date', '1981_10': '1981'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_not_eq_0': [1, 2], 'all_rows_6': [0], 'percentage of votes_7': [0], '100%_8': [0], 'eq_3': [4], 'num_hop_2': [3], 'election date_9': [2], '1981_10': [3]} | ['election date', 'party leader', 'number of votes received', 'percentage of votes', 'number of deputies'] | [['1964', 'habib bourguiba', '1255153', '100 %', '101'], ['1969', 'habib bourguiba', '1363939', '100 %', '101'], ['1974', 'habib bourguiba', '1570954', '100 %', '112'], ['1979', 'habib bourguiba', '1560753', '100 %', '121'], ['1981', 'habib bourguiba', '1828363', '94.2 %', '136']] |
fai world grand prix 2008 | https://en.wikipedia.org/wiki/FAI_World_Grand_Prix_2008 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17277703-7.html.csv | superlative | in the 2008 fai world grand prix , mario kiessling 's position ranks the highest . | {'scope': 'all', 'col_superlative': '1', 'row_superlative': '1', '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', 'position'], 'result': None, 'ind': 0, 'tostr': 'argmin { all_rows ; position }'}, 'pilot'], 'result': 'mario kiessling', 'ind': 1, 'tostr': 'hop { argmin { all_rows ; position } ; pilot }'}, 'mario kiessling'], 'result': T... | eq { hop { argmin { all_rows ; position } ; pilot } ; mario kiessling } = true | select the row whose position record of all rows is minimum . the pilot record of this row is mario kiessling . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmin_0': 0, 'all_rows_4': 4, 'position_5': 5, 'pilot_6': 6, 'mario kiessling_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmin_0': 'argmin', 'all_rows_4': 'all_rows', 'position_5': 'position', 'pilot_6': 'pilot', 'mario kiessling_7': 'mario kiessling'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmin_0': [1], 'all_rows_4': [0], 'position_5': [0], 'pilot_6': [1], 'mario kiessling_7': [2]} | ['position', 'pilot', 'glider', 'speed', 'distance'] | [['1', 'mario kiessling', 'ventus 2ax', '128.8 km / h', '240.5 km'], ['2', 'uli schwenk', 'ventus 2ax', '128.1 km / h', '240.5 km'], ['3', 'carlos rocca vidal', 'ventus 2b', '127.6 km / h', '240.5 km'], ['4', 'sebastian kawa', 'diana 2', '127.1 km / h', '240.5 km'], ['5', 'thomas gostner', 'diana 2', '126.3 km / h', '2... |
1997 tennessee oilers season | https://en.wikipedia.org/wiki/1997_Tennessee_Oilers_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15986484-2.html.csv | count | in 1997 , the tennessee oilers played the jacksonville jaguars twice . | {'scope': 'all', 'criterion': 'equal', 'value': 'jacksonville jaguars', 'result': '2', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'opponent', 'jacksonville jaguars'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose opponent record fuzzily matches to jacksonville jaguars .', 'tostr': 'filter_eq { all_rows ; opponent ; jacksonville jaguars ... | eq { count { filter_eq { all_rows ; opponent ; jacksonville jaguars } } ; 2 } = true | select the rows whose opponent record fuzzily matches to jacksonville jaguars . 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, 'opponent_5': 5, 'jacksonville jaguars_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', 'opponent_5': 'opponent', 'jacksonville jaguars_6': 'jacksonville jaguars', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'opponent_5': [0], 'jacksonville jaguars_6': [0], '2_7': [2]} | ['week', 'date', 'opponent', 'result', 'record', 'location', 'attendance'] | [['1', 'august 31 , 1997', 'oakland raiders', 'w 24 - 21', '1 - 0', 'liberty bowl memorial stadium', '30171'], ['2', 'september 7 , 1997', 'miami dolphins', 'l 16 - 13', '1 - 1', 'pro player stadium', '64439'], ['3', '-', '-', '-', '-', '-', ''], ['4', 'september 21 , 1997', 'baltimore ravens', 'l 36 - 10', '1 - 2', 'l... |
washington redskins draft history | https://en.wikipedia.org/wiki/Washington_Redskins_draft_history | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17100961-11.html.csv | count | two players were drafted by the washington redskins out of duquesne college . | {'scope': 'all', 'criterion': 'equal', 'value': 'duquesne', 'result': '2', 'col': '6', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'college', 'duquesne'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose college record fuzzily matches to duquesne .', 'tostr': 'filter_eq { all_rows ; college ; duquesne }'}], 'result': '2', 'ind': 1, 'tostr':... | eq { count { filter_eq { all_rows ; college ; duquesne } } ; 2 } = true | select the rows whose college record fuzzily matches to duquesne . 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, 'college_5': 5, 'duquesne_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', 'college_5': 'college', 'duquesne_6': 'duquesne', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'college_5': [0], 'duquesne_6': [0], '2_7': [2]} | ['round', 'pick', 'overall', 'name', 'position', 'college'] | [['1', '6', '6', 'spec sanders', 'hb', 'texas'], ['3', '6', '21', 'rufus deal', 'rb', 'auburn'], ['5', '6', '36', 'joe zeno', 'g', 'holy cross'], ['6', '6', '46', 'harley mccollum', 'ot', 'tulane'], ['7', '6', '56', 'bob fitch', 'e', 'minnesota'], ['8', '6', '66', 'george peters', 'rb', 'oregon state'], ['9', '6', '76'... |
papal election , 1280 - 81 | https://en.wikipedia.org/wiki/Papal_election%2C_1280%E2%80%9381 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18924985-1.html.csv | majority | the majority of the electors had rome as their nationality . | {'scope': 'all', 'col': '2', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'rome', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'nationality', 'rome'], 'result': True, 'ind': 0, 'tointer': 'for the nationality records of all rows , most of them fuzzily match to rome .', 'tostr': 'most_eq { all_rows ; nationality ; rome } = true'} | most_eq { all_rows ; nationality ; rome } = true | for the nationality records of all rows , most of them fuzzily match to rome . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'nationality_3': 3, 'rome_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'nationality_3': 'nationality', 'rome_4': 'rome'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'nationality_3': [0], 'rome_4': [0]} | ['elector', 'nationality', 'cardinalatial order and title', 'elevated', 'elevator'] | [['ordonho alvares', 'portuguese', 'cardinal - bishop of frascati', '1278 , march 12', 'nicholas iii'], ['latino malabranca orsini , op', 'rome', 'cardinal - bishop of ostia e velletri', '1278 , march 12', 'nicholas iii'], ['bentivenga da bentivengi , ofm', 'acquasparta', 'cardinal - bishop of albano', '1278 , march 12... |
1951 vfl season | https://en.wikipedia.org/wiki/1951_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10701914-14.html.csv | superlative | in the 1951 vfl season the home team with biggest crowd was 26500 on 4 august 1951 . | {'scope': 'all', 'col_superlative': '6', 'row_superlative': '5', 'value_mentioned': 'yes', 'max_or_min': 'max', 'other_col': '7', 'subset': None} | {'func': 'and', 'args': [{'func': 'eq', 'args': [{'func': 'max', 'args': ['all_rows', 'crowd'], 'result': '26500', 'ind': 0, 'tostr': 'max { all_rows ; crowd }', 'tointer': 'the maximum crowd record of all rows is 26500 .'}, '26500'], 'result': True, 'ind': 1, 'tostr': 'eq { max { all_rows ; crowd } ; 26500 }', 'tointe... | and { eq { max { all_rows ; crowd } ; 26500 } ; eq { hop { argmax { all_rows ; crowd } ; date } ; 4 august 1951 } } = true | the maximum crowd record of all rows is 26500 . the date record of the row with superlative crowd record is 4 august 1951 . | 6 | 6 | {'and_5': 5, 'result_6': 6, 'eq_1': 1, 'max_0': 0, 'all_rows_7': 7, 'crowd_8': 8, '26500_9': 9, 'str_eq_4': 4, 'str_hop_3': 3, 'argmax_2': 2, 'all_rows_10': 10, 'crowd_11': 11, 'date_12': 12, '4 august 1951_13': 13} | {'and_5': 'and', 'result_6': 'true', 'eq_1': 'eq', 'max_0': 'max', 'all_rows_7': 'all_rows', 'crowd_8': 'crowd', '26500_9': '26500', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'argmax_2': 'argmax', 'all_rows_10': 'all_rows', 'crowd_11': 'crowd', 'date_12': 'date', '4 august 1951_13': '4 august 1951'} | {'and_5': [6], 'result_6': [], 'eq_1': [5], 'max_0': [1], 'all_rows_7': [0], 'crowd_8': [0], '26500_9': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'argmax_2': [3], 'all_rows_10': [2], 'crowd_11': [2], 'date_12': [3], '4 august 1951_13': [4]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['fitzroy', '8.21 ( 69 )', 'melbourne', '6.9 ( 45 )', 'brunswick street oval', '9000', '4 august 1951'], ['essendon', '16.10 ( 106 )', 'south melbourne', '8.12 ( 60 )', 'windy hill', '20000', '4 august 1951'], ['st kilda', '11.8 ( 74 )', 'hawthorn', '9.14 ( 68 )', 'junction oval', '6000', '4 august 1951'], ['north mel... |
atlantic hurricane season | https://en.wikipedia.org/wiki/Atlantic_hurricane_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-2930244-3.html.csv | aggregation | on average , there were about 4.3 hurricanes across all atlantic hurricane seasons . | {'scope': 'all', 'col': '3', 'type': 'average', 'result': '4.3', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'number of hurricanes'], 'result': '4.3', 'ind': 0, 'tostr': 'avg { all_rows ; number of hurricanes }'}, '4.3'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; number of hurricanes } ; 4.3 } = true', 'tointer': 'the average of the numbe... | round_eq { avg { all_rows ; number of hurricanes } ; 4.3 } = true | the average of the number of hurricanes record of all rows is 4.3 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'number of hurricanes_4': 4, '4.3_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'number of hurricanes_4': 'number of hurricanes', '4.3_5': '4.3'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'number of hurricanes_4': [0], '4.3_5': [1]} | ['year', 'number of tropical storms', 'number of hurricanes', 'number of major hurricanes', 'deaths', 'strongest storm'] | [['1860', '1', '5', '1', '60 +', 'one'], ['1861', '2', '6', '0', '22 +', 'one and three'], ['1862', '3', '3', '0', '3', 'two and three'], ['1863', '4', '5', '0', '90', 'one , two , three & four'], ['1864', '2', '3', '0', 'none', 'one , three & five'], ['1865', '4', '3', '0', '326', 'four & seven'], ['1866', '1', '5', '... |
united states house of representatives elections , 1948 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1948 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1342218-43.html.csv | count | of the incumbents from texas districts that were re-elected in the 1948 united states house of representative elections , two of them were first elected in the year 1944 . | {'scope': 'subset', 'criterion': 'equal', 'value': '1944', 'result': '2', 'col': '4', 'subset': {'col': '5', 'criterion': 'equal', 'value': 're - elected'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'result', 're - elected'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; result ; re - elected }', 'tointer': 'select the rows whose result record fuzzily matches to re - elected... | eq { count { filter_eq { filter_eq { all_rows ; result ; re - elected } ; first elected ; 1944 } } ; 2 } = true | select the rows whose result record fuzzily matches to re - elected . among these rows , select the rows whose first elected record is equal to 1944 . the number of such rows is 2 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'count_2': 2, 'filter_eq_1': 1, 'filter_str_eq_0': 0, 'all_rows_5': 5, 'result_6': 6, 're - elected_7': 7, 'first elected_8': 8, '1944_9': 9, '2_10': 10} | {'eq_3': 'eq', 'result_4': 'true', 'count_2': 'count', 'filter_eq_1': 'filter_eq', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_5': 'all_rows', 'result_6': 'result', 're - elected_7': 're - elected', 'first elected_8': 'first elected', '1944_9': '1944', '2_10': '2'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_eq_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'result_6': [0], 're - elected_7': [0], 'first elected_8': [1], '1944_9': [1], '2_10': [3]} | ['district', 'incumbent', 'party', 'first elected', 'result', 'candidates'] | [['texas 1', 'wright patman', 'democratic', '1928', 're - elected', 'wright patman ( d ) unopposed'], ['texas 2', 'jesse m combs', 'democratic', '1944', 're - elected', 'jesse m combs ( d ) 93.3 % don parker ( r ) 6.7 %'], ['texas 4', 'sam rayburn', 'democratic', '1912', 're - elected', 'sam rayburn ( d ) unopposed'], ... |
1972 - 73 new york rangers season | https://en.wikipedia.org/wiki/1972%E2%80%9373_New_York_Rangers_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17324893-6.html.csv | count | the new york rangers played new york islanders three times . | {'scope': 'all', 'criterion': 'equal', 'value': 'new york islanders', 'result': '3', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'opponent', 'new york islanders'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose opponent record fuzzily matches to new york islanders .', 'tostr': 'filter_eq { all_rows ; opponent ; new york islanders }'}], ... | eq { count { filter_eq { all_rows ; opponent ; new york islanders } } ; 3 } = true | select the rows whose opponent record fuzzily matches to new york islanders . 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, 'opponent_5': 5, 'new york islanders_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', 'opponent_5': 'opponent', 'new york islanders_6': 'new york islanders', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'opponent_5': [0], 'new york islanders_6': [0], '3_7': [2]} | ['game', 'february', 'opponent', 'score', 'record'] | [['52', '3', 'boston bruins', '7 - 3', '35 - 13 - 4'], ['53', '4', 'atlanta flames', '6 - 0', '36 - 13 - 4'], ['54', '7', 'new york islanders', '6 - 0', '37 - 13 - 4'], ['55', '10', 'new york islanders', '6 - 0', '38 - 13 - 4'], ['56', '11', 'montreal canadiens', '2 - 2', '38 - 13 - 5'], ['57', '14', 'montreal canadien... |
hy - vee triathlon | https://en.wikipedia.org/wiki/Hy-Vee_Triathlon | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12014430-2.html.csv | count | australia won the hy-vee triathlon 4 times between 2007 and 2013 . | {'scope': 'all', 'criterion': 'equal', 'value': 'australia', 'result': '4', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'nation', 'australia'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose nation record fuzzily matches to australia .', 'tostr': 'filter_eq { all_rows ; nation ; australia }'}], 'result': '4', 'ind': 1, 'tostr':... | eq { count { filter_eq { all_rows ; nation ; australia } } ; 4 } = true | select the rows whose nation record fuzzily matches to australia . the number of such rows is 4 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'nation_5': 5, 'australia_6': 6, '4_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'nation_5': 'nation', 'australia_6': 'australia', '4_7': '4'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'nation_5': [0], 'australia_6': [0], '4_7': [2]} | ['year', 'athlete', 'nation', 'time', 'location'] | [['2007', 'bennett , laura laura bennett', 'united states', '2:04:3', 'des moines'], ['2008', 'snowsill , emma emma snowsill', 'australia', '2:03:15', 'west des moines'], ['2009', 'moffat , emma emma moffatt', 'australia', '1:59:46', 'west des moines'], ['2010', 'snowsill , emma emma snowsill ( 2 )', 'australia', '1:59... |
300 metre rifle prone | https://en.wikipedia.org/wiki/300_metre_rifle_prone | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18938143-1.html.csv | comparative | norbert sturny earned his second medal much more recently than malcolm cooper between the years of 1982 and 2006 . | {'row_1': '6', 'row_2': '2', 'col': '1', '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', 'gold', 'norbert sturny ( sui )'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose gold record fuzzily matches to norbert sturny ( sui ) .', 'tostr': 'filter_eq { all_rows ; gold ; norbert sturny ( sui )... | greater { hop { filter_eq { all_rows ; gold ; norbert sturny ( sui ) } ; year } ; hop { filter_eq { all_rows ; gold ; malcolm cooper ( gbr ) } ; year } } = true | select the rows whose gold record fuzzily matches to norbert sturny ( sui ) . take the year record of this row . select the rows whose gold record fuzzily matches to malcolm cooper ( gbr ) . take the year 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, 'gold_7': 7, 'norbert sturny ( sui )_8': 8, 'year_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'gold_11': 11, 'malcolm cooper ( gbr )_12': 12, 'year_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', 'gold_7': 'gold', 'norbert sturny ( sui )_8': 'norbert sturny ( sui )', 'year_9': 'year', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'gold_11': '... | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'gold_7': [0], 'norbert sturny ( sui )_8': [0], 'year_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'gold_11': [1], 'malcolm cooper ( gbr )_12': [1], 'year_13': [3]} | ['year', 'place', 'gold', 'silver', 'bronze'] | [['1982', 'caracas', 'victor daniltchenko ( urs )', 'malcolm cooper ( gbr )', 'ernest van de zande ( usa )'], ['1986', 'skoevde', 'malcolm cooper ( gbr )', 'pekka roeppaenen ( fin )', 'glenn dubis ( usa )'], ['1990', 'moscow', 'harald stenvaag ( nor )', 'norbert sturny ( sui )', 'thomas tamas ( usa )'], ['1994', 'tolme... |
1971 isle of man tt | https://en.wikipedia.org/wiki/1971_Isle_of_Man_TT | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10638654-8.html.csv | comparative | dwood and dcoomber recorded a faster speed than dhawes and jpmann in the 1971 isle of man tt . | {'row_1': '5', 'row_2': '9', 'col': '4', 'col_other': '2', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'rider', 'dwood / dcoomber'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose rider record fuzzily matches to dwood / dcoomber .', 'tostr': 'filter_eq { all_rows ; rider ; dwood / dcoomber }'}, 'speed'],... | greater { hop { filter_eq { all_rows ; rider ; dwood / dcoomber } ; speed } ; hop { filter_eq { all_rows ; rider ; dhawes / jpmann } ; speed } } = true | select the rows whose rider record fuzzily matches to dwood / dcoomber . take the speed record of this row . select the rows whose rider record fuzzily matches to dhawes / jpmann . take the speed 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, 'rider_7': 7, 'dwood / dcoomber_8': 8, 'speed_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'rider_11': 11, 'dhawes / jpmann_12': 12, 'speed_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', 'rider_7': 'rider', 'dwood / dcoomber_8': 'dwood / dcoomber', 'speed_9': 'speed', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'rider_11': 'rider',... | {'greater_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'rider_7': [0], 'dwood / dcoomber_8': [0], 'speed_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'rider_11': [1], 'dhawes / jpmann_12': [1], 'speed_13': [3]} | ['rank', 'rider', 'team', 'speed', 'time'] | [['1', 'georg auerbacher / hhahn', 'bmw', '86.86 mph', '1.18.12.0'], ['2', 'ajsamson / dajose', 'triumph', '82.50 mph', '1.22.20.2'], ['3', 'rwilliamson / jmcpherson', 'weslake', '82.25 mph', '1.23.50.0'], ['4', 'rwoodhouse / dwoodhouse', 'honda', '81.91 mph', '1.22.55.0'], ['5', 'dwood / dcoomber', 'norton', '81.19 mp... |
atlanta falcons draft history | https://en.wikipedia.org/wiki/Atlanta_Falcons_draft_history | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15198842-48.html.csv | majority | most of the atlanta falcons ' draft picks had an overall score over 100 . | {'scope': 'all', 'col': '3', 'most_or_all': 'most', 'criterion': 'greater_than', 'value': '100', 'subset': None} | {'func': 'most_greater', 'args': ['all_rows', 'overall', '100'], 'result': True, 'ind': 0, 'tointer': 'for the overall records of all rows , most of them are greater than 100 .', 'tostr': 'most_greater { all_rows ; overall ; 100 } = true'} | most_greater { all_rows ; overall ; 100 } = true | for the overall records of all rows , most of them are greater than 100 . | 1 | 1 | {'most_greater_0': 0, 'result_1': 1, 'all_rows_2': 2, 'overall_3': 3, '100_4': 4} | {'most_greater_0': 'most_greater', 'result_1': 'true', 'all_rows_2': 'all_rows', 'overall_3': 'overall', '100_4': '100'} | {'most_greater_0': [1], 'result_1': [], 'all_rows_2': [0], 'overall_3': [0], '100_4': [0]} | ['round', 'pick', 'overall', 'name', 'position', 'college'] | [['1', '22', '22', 'desmond trufant', 'cornerback', 'washington'], ['2', '28', '60', 'robert alford', 'cornerback', 'southeastern louisiana'], ['4', '30', '127', 'malliciah goodman', 'defensive end', 'clemson'], ['4', '36', '133', 'levine toilolo', 'tight end', 'stanford'], ['5', '20', '153', 'stansly maponga', 'defens... |
fiba eurobasket 2007 squads | https://en.wikipedia.org/wiki/FIBA_EuroBasket_2007_squads | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-12962773-1.html.csv | majority | the majority of the players were born in the 1980 's . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'greater_than_eq', 'value': '1980', 'subset': None} | {'func': 'most_greater_eq', 'args': ['all_rows', 'year born', '1980'], 'result': True, 'ind': 0, 'tointer': 'for the year born records of all rows , most of them are greater than or equal to 1980 .', 'tostr': 'most_greater_eq { all_rows ; year born ; 1980 } = true'} | most_greater_eq { all_rows ; year born ; 1980 } = true | for the year born records of all rows , most of them are greater than or equal to 1980 . | 1 | 1 | {'most_greater_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'year born_3': 3, '1980_4': 4} | {'most_greater_eq_0': 'most_greater_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'year born_3': 'year born', '1980_4': '1980'} | {'most_greater_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'year born_3': [0], '1980_4': [0]} | ['no', 'player', 'height', 'position', 'year born', 'current club'] | [['4', 'theodoros papaloukas', '2.00', 'guard', '1977', 'cska moscow'], ['5', 'ioannis bourousis', '2.13', 'center', '1983', 'olympiacos'], ['6', 'nikolaos zisis', '1.95', 'guard', '1983', 'cska moscow'], ['7', 'vasileios spanoulis', '1.92', 'guard', '1982', 'panathinaikos'], ['8', 'panagiotis vasilopoulos', '2.01', 'f... |
swatch fivb world tour 2007 | https://en.wikipedia.org/wiki/Swatch_FIVB_World_Tour_2007 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18314203-3.html.csv | comparative | in the swatch fivb world tour 2007 germany won more silver medals than the united states . | {'row_1': '7', 'row_2': '2', 'col': '4', 'col_other': '2', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'nation', 'germany'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose nation record fuzzily matches to germany .', 'tostr': 'filter_eq { all_rows ; nation ; germany }'}, 'silver'], 'result': None, 'ind':... | greater { hop { filter_eq { all_rows ; nation ; germany } ; silver } ; hop { filter_eq { all_rows ; nation ; united states } ; silver } } = true | select the rows whose nation record fuzzily matches to germany . take the silver record of this row . select the rows whose nation record fuzzily matches to united states . take the silver record of this row . the first record is greater than the second record . | 5 | 5 | {'greater_4': 4, 'result_5': 5, 'num_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'nation_7': 7, 'germany_8': 8, 'silver_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'nation_11': 11, 'united states_12': 12, 'silver_13': 13} | {'greater_4': 'greater', 'result_5': 'true', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'nation_7': 'nation', 'germany_8': 'germany', 'silver_9': 'silver', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'nation_11': 'nation', 'united sta... | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'nation_7': [0], 'germany_8': [0], 'silver_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'nation_11': [1], 'united states_12': [1], 'silver_13': [3]} | ['rank', 'nation', 'gold', 'silver', 'bronze', 'total'] | [['1', 'brazil', '21', '9', '12', '42'], ['2', 'united states', '9', '3', '6', '18'], ['3', 'china', '1', '9', '8', '18'], ['4', 'australia', '1', '1', '1', '3'], ['4', 'netherlands', '1', '1', '1', '3'], ['6', 'estonia', '1', '0', '0', '1'], ['7', 'germany', '0', '5', '1', '6'], ['8', 'russia', '0', '2', '3', '5'], ['... |
berlusconi ii cabinet | https://en.wikipedia.org/wiki/Berlusconi_II_Cabinet | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16824962-2.html.csv | comparative | rocco buttiglione took office in the berlusconi ii cabinet earlier than mario baccini . | {'row_1': '1', 'row_2': '10', 'col': '3', 'col_other': '2', 'relation': 'less', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'less', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'minister', 'rocco buttiglione'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose minister record fuzzily matches to rocco buttiglione .', 'tostr': 'filter_eq { all_rows ; minister ; rocco buttiglione }'}, ... | less { hop { filter_eq { all_rows ; minister ; rocco buttiglione } ; took office } ; hop { filter_eq { all_rows ; minister ; mario baccini } ; took office } } = true | select the rows whose minister record fuzzily matches to rocco buttiglione . take the took office record of this row . select the rows whose minister record fuzzily matches to mario baccini . take the took office 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, 'minister_7': 7, 'rocco buttiglione_8': 8, 'took office_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'minister_11': 11, 'mario baccini_12': 12, 'took office_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', 'minister_7': 'minister', 'rocco buttiglione_8': 'rocco buttiglione', 'took office_9': 'took office', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'minis... | {'less_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'minister_7': [0], 'rocco buttiglione_8': [0], 'took office_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'minister_11': [1], 'mario baccini_12': [1], 'took office_13': [3]} | ['portfolio', 'minister', 'took office', 'left office', 'party'] | [['minister european affairs', 'rocco buttiglione', '11 june 2001', '23 april 2005', 'udc'], ['minister of reforms and devolutions', 'umberto bossi', '11 june 2001', '16 july 2004', 'lega nord'], ['minister of reforms and devolutions', 'roberto calderoli', '16 july 2004', '23 april 2005', 'lega nord'], ['minister of in... |
1973 u.s. open ( golf ) | https://en.wikipedia.org/wiki/1973_U.S._Open_%28golf%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17245540-2.html.csv | count | of the players in the 1973 us open , five came from the united states . | {'scope': 'all', 'criterion': 'equal', 'value': 'united states', 'result': '5', 'col': '2', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'country', 'united states'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose country record fuzzily matches to united states .', 'tostr': 'filter_eq { all_rows ; country ; united states }'}], 'result': '5', 'in... | eq { count { filter_eq { all_rows ; country ; united states } } ; 5 } = true | select the rows whose country record fuzzily matches to united states . 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, 'country_5': 5, 'united states_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', 'country_5': 'country', 'united states_6': 'united states', '5_7': '5'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'country_5': [0], 'united states_6': [0], '5_7': [2]} | ['player', 'country', 'year ( s ) won', 'total', 'to par', 'finish'] | [['jack nicklaus', 'united states', '1962 , 1967 , 1972', '282', '- 2', 't4'], ['arnold palmer', 'united states', '1960', '282', '- 2', 't4'], ['lee trevino', 'united states', '1968 , 1971', '282', '- 2', 't4'], ['julius boros', 'united states', '1952 , 1963', '283', '- 1', 't7'], ['gary player', 'south africa', '1965'... |
duchess of nemours | https://en.wikipedia.org/wiki/Duchess_of_Nemours | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1825009-5.html.csv | unique | louise marie adelaide de bourbon was the only duchess who lost her title due to her husbands execution . | {'scope': 'all', 'row': '5', 'col': '5', 'col_other': '1', 'criterion': 'equal', 'value': "husband 's execution", 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'ceased to be duchess', "husband 's execution"], 'result': None, 'ind': 0, 'tointer': "select the rows whose ceased to be duchess record fuzzily matches to husband 's execution .", 'tostr': "filter_eq { all_rows ; ceased t... | and { only { filter_eq { all_rows ; ceased to be duchess ; husband 's execution } } ; eq { hop { filter_eq { all_rows ; ceased to be duchess ; husband 's execution } ; name } ; louise marie adélaïde de bourbon } } = true | select the rows whose ceased to be duchess record fuzzily matches to husband 's execution . there is only one such row in the table . the name record of this unqiue row is louise marie adélaïde de bourbon . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'ceased to be duchess_7': 7, "husband 's execution_8": 8, 'str_eq_3': 3, 'str_hop_2': 2, 'name_9': 9, 'louise marie adélaïde de bourbon_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'ceased to be duchess_7': 'ceased to be duchess', "husband 's execution_8": "husband 's execution", 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'name_9': 'name', 'louise marie adélaïde de bourbon_10': ... | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'ceased to be duchess_7': [0], "husband 's execution_8": [0], 'str_eq_3': [4], 'str_hop_2': [3], 'name_9': [2], 'louise marie adélaïde de bourbon_10': [3]} | ['name', 'birth', 'marriage', 'became duchess', 'ceased to be duchess', 'death', 'spouse'] | [['elizabeth charlotte of the palatinate', '27 may 1652', '16 november 1671', '1672 peerage awarded to husband', "9 june 1701 husband 's death", '9 december 1722', 'philippe , duke of orléans'], ['françoise marie de bourbon , légitimée de france', '25 may 1677', '18 february 1692', "9 june 1701 husband 's accession", "... |
list of artists who reached number one on the french singles chart | https://en.wikipedia.org/wiki/List_of_artists_who_reached_number_one_on_the_French_Singles_Chart | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-27441210-17.html.csv | unique | for artists who reached number one on the french singles chart , when the country is france , the only single that spent 8 weeks at number 1 is n'importe quoi . | {'scope': 'subset', 'row': '2', 'col': '5', 'col_other': '3', 'criterion': 'equal', 'value': '8', 'subset': {'col': '2', 'criterion': 'equal', 'value': 'france'}} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'country', 'france'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; country ; france }', 'tointer': 'select the rows whose country record fuzzily matches to france .'}, 'weeks at... | and { only { filter_eq { filter_eq { all_rows ; country ; france } ; weeks at 1 ; 8 } } ; eq { hop { filter_eq { filter_eq { all_rows ; country ; france } ; weeks at 1 ; 8 } ; number - one single ( s ) } ; n'importe quoi } } = true | select the rows whose country record fuzzily matches to france . among these rows , select the rows whose weeks at 1 record is equal to 8 . there is only one such row in the table . the number - one single ( s ) record of this unqiue row is n'importe quoi . | 8 | 6 | {'and_5': 5, 'result_6': 6, 'only_2': 2, 'filter_eq_1': 1, 'filter_str_eq_0': 0, 'all_rows_7': 7, 'country_8': 8, 'france_9': 9, 'weeks at 1_10': 10, '8_11': 11, 'str_eq_4': 4, 'str_hop_3': 3, 'number - one single (s)_12': 12, "n'importe quoi_13": 13} | {'and_5': 'and', 'result_6': 'true', 'only_2': 'only', 'filter_eq_1': 'filter_eq', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_7': 'all_rows', 'country_8': 'country', 'france_9': 'france', 'weeks at 1_10': 'weeks at 1', '8_11': '8', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'number - one single (s)_12': 'number -... | {'and_5': [6], 'result_6': [], 'only_2': [5], 'filter_eq_1': [2, 3], 'filter_str_eq_0': [1], 'all_rows_7': [0], 'country_8': [0], 'france_9': [0], 'weeks at 1_10': [1], '8_11': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'number - one single (s)_12': [3], "n'importe quoi_13": [4]} | ['artist', 'country', 'number - one single ( s )', 'year', 'weeks at 1', 'straight to 1'] | [['paco', 'viet nam', 'amor de mis amores', '1988', '5', 'no'], ['pagny , florent', 'france', "n'importe quoi", '1988', '8', 'no'], ['pagny , florent', 'france', 'savoir aimer', '1997', '9', 'no'], ['pagny , florent', 'france', 'ma liberté de penser', '2003', '6', 'no'], ['pakito', 'france', 'living on video', '2004', ... |
weltklang | https://en.wikipedia.org/wiki/Weltklang | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18948956-2.html.csv | comparative | of weltklang 's tracks , mono 45upm - romance adieu ( weltklang remix ) was released earlier than kinder aus asbest - hey engel ( weltklang remix ) . | {'row_1': '1', 'row_2': '6', 'col': '5', 'col_other': '2', 'relation': 'less', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'less', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'track', 'mono 45upm - romance adieu ( weltklang remix )'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose track record fuzzily matches to mono 45upm - romance adieu ( weltklang remix ) .', 'tostr': 'filte... | less { hop { filter_eq { all_rows ; track ; mono 45upm - romance adieu ( weltklang remix ) } ; year } ; hop { filter_eq { all_rows ; track ; kinder aus asbest - hey engel ( weltklang remix ) } ; year } } = true | select the rows whose track record fuzzily matches to mono 45upm - romance adieu ( weltklang remix ) . take the year record of this row . select the rows whose track record fuzzily matches to kinder aus asbest - hey engel ( weltklang remix ) . take the year record of this row . the first record is less than the second ... | 5 | 5 | {'less_4': 4, 'result_5': 5, 'num_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'track_7': 7, 'mono 45upm - romance adieu (weltklang remix)_8': 8, 'year_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'track_11': 11, 'kinder aus asbest - hey engel (weltklang remix)_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', 'track_7': 'track', 'mono 45upm - romance adieu (weltklang remix)_8': 'mono 45upm - romance adieu ( weltklang remix )', 'year_9': 'year', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq... | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'track_7': [0], 'mono 45upm - romance adieu (weltklang remix)_8': [0], 'year_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'track_11': [1], 'kinder aus asbest - hey engel (weltklang remix)_12': [1], 'ye... | ['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', ... |
1957 argentine grand prix | https://en.wikipedia.org/wiki/1957_Argentine_Grand_Prix | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1122148-1.html.csv | superlative | in the 1957 argentine grand prix , when the constructor was a maserati , the highest grid is luigi piotti . | {'scope': 'subset', 'col_superlative': '5', 'row_superlative': '10', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '1,2', 'subset': {'col': '2', 'criterion': 'equal', 'value': 'maserati'}} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'constructor', 'maserati'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; constructor ; maserati }', 'tointer': 'select the rows whose constructor record fuzzily matches to ma... | eq { hop { argmax { filter_eq { all_rows ; constructor ; maserati } ; grid } ; driver } ; luigi piotti } = true | select the rows whose constructor record fuzzily matches to maserati . select the row whose grid record of these rows is maximum . the driver record of this row is luigi piotti . | 4 | 4 | {'str_eq_3': 3, 'result_4': 4, 'str_hop_2': 2, 'argmax_1': 1, 'filter_str_eq_0': 0, 'all_rows_5': 5, 'constructor_6': 6, 'maserati_7': 7, 'grid_8': 8, 'driver_9': 9, 'luigi piotti_10': 10} | {'str_eq_3': 'str_eq', 'result_4': 'true', 'str_hop_2': 'str_hop', 'argmax_1': 'argmax', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_5': 'all_rows', 'constructor_6': 'constructor', 'maserati_7': 'maserati', 'grid_8': 'grid', 'driver_9': 'driver', 'luigi piotti_10': 'luigi piotti'} | {'str_eq_3': [4], 'result_4': [], 'str_hop_2': [3], 'argmax_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'constructor_6': [0], 'maserati_7': [0], 'grid_8': [1], 'driver_9': [2], 'luigi piotti_10': [3]} | ['driver', 'constructor', 'laps', 'time / retired', 'grid'] | [['juan manuel fangio', 'maserati', '100', '3:00:55.9', '2'], ['jean behra', 'maserati', '100', '+ 18.3 secs', '3'], ['carlos menditeguy', 'maserati', '99', '+ 1 lap', '8'], ['harry schell', 'maserati', '98', '+ 2 laps', '9'], ['alfonso de portago josé froilán gonzález', 'ferrari', '98', '+ 2 laps', '10'], ['cesare per... |
karrie webb | https://en.wikipedia.org/wiki/Karrie_Webb | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1036386-2.html.csv | unique | of the championships played by karrie webb , only the us women 's open had a margin of 8 strokes . | {'scope': 'all', 'row': '5', 'col': '4', 'col_other': '2', 'criterion': 'equal', 'value': '8 strokes', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'margin', '8 strokes'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose margin record fuzzily matches to 8 strokes .', 'tostr': 'filter_eq { all_rows ; margin ; 8 strokes }'}], 'result': True, 'ind': 1, 'tostr'... | and { only { filter_eq { all_rows ; margin ; 8 strokes } } ; eq { hop { filter_eq { all_rows ; margin ; 8 strokes } ; championship } ; us women 's open } } = true | select the rows whose margin record fuzzily matches to 8 strokes . there is only one such row in the table . the championship record of this unqiue row is us women 's open . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'margin_7': 7, '8 strokes_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'championship_9': 9, "us women 's open_10": 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'margin_7': 'margin', '8 strokes_8': '8 strokes', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'championship_9': 'championship', "us women 's open_10": "us women 's open"} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'margin_7': [0], '8 strokes_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'championship_9': [2], "us women 's open_10": [3]} | ['year', 'championship', 'winning score', 'margin', 'runner ( s ) - up'] | [['1999', 'du maurier classic', '11 ( 73 + 72 + 66 + 66 = 277 )', '2 strokes', 'laura davies'], ['2000', 'nabisco championship', '14 ( 67 + 70 + 67 + 70 = 274 )', '10 strokes', 'dottie pepper'], ['2000', "us women 's open", '6 ( 69 + 72 + 68 + 73 = 282 )', '5 strokes', 'cristie kerr , meg mallon'], ['2001', "mcdonald '... |
2007 icc world twenty20 statistics | https://en.wikipedia.org/wiki/2007_ICC_World_Twenty20_statistics | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-13219504-9.html.csv | ordinal | herschelle gibbs / justin kemp had the 3rd highest number of runs during the 2007 icc world twenty20 championship . | {'row': '3', 'col': '1', 'order': '3', 'col_other': '3', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'runs ( balls )', '3'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; runs ( balls ) ; 3 }'}, 'partnerships'], 'result': 'herschelle gibbs / justin kemp', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; ... | eq { hop { nth_argmax { all_rows ; runs ( balls ) ; 3 } ; partnerships } ; herschelle gibbs / justin kemp } = true | select the row whose runs ( balls ) record of all rows is 3rd maximum . the partnerships record of this row is herschelle gibbs / justin kemp . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'runs (balls)_5': 5, '3_6': 6, 'partnerships_7': 7, 'herschelle gibbs / justin kemp_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmax_0': 'nth_argmax', 'all_rows_4': 'all_rows', 'runs (balls)_5': 'runs ( balls )', '3_6': '3', 'partnerships_7': 'partnerships', 'herschelle gibbs / justin kemp_8': 'herschelle gibbs / justin kemp'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'runs (balls)_5': [0], '3_6': [0], 'partnerships_7': [1], 'herschelle gibbs / justin kemp_8': [2]} | ['runs ( balls )', 'wicket', 'partnerships', 'venue', 'date'] | [['145 ( 81 )', '1st', 'chris gayle / devon smith', 'johannesburg', '2007 - 09 - 11'], ['136 ( 88 )', '1st', 'gautam gambhir / virender sehwag', 'durban', '2007 - 09 - 19'], ['120 ( 57 )', '3rd', 'herschelle gibbs / justin kemp', 'johannesburg', '2007 - 09 - 11'], ['119 ( 75 )', '5th', 'shoaib malik / misbah - ul - haq... |
avc club volleyball championship | https://en.wikipedia.org/wiki/AVC_Club_Volleyball_Championship | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14841421-2.html.csv | ordinal | kazakhstan won the 2nd most silver medals at the avc club volleyball championship . | {'row': '3', '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', 'silver', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; silver ; 2 }'}, 'nation'], 'result': 'kazakhstan', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; silver ; 2 } ; nation }'}, 'kazakhstan'], ... | eq { hop { nth_argmax { all_rows ; silver ; 2 } ; nation } ; kazakhstan } = true | select the row whose silver record of all rows is 2nd maximum . the nation record of this row is kazakhstan . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'silver_5': 5, '2_6': 6, 'nation_7': 7, 'kazakhstan_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', 'silver_5': 'silver', '2_6': '2', 'nation_7': 'nation', 'kazakhstan_8': 'kazakhstan'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'silver_5': [0], '2_6': [0], 'nation_7': [1], 'kazakhstan_8': [2]} | ['rank', 'nation', 'gold', 'silver', 'bronze', 'total'] | [['1', 'iran', '9', '4', '2', '15'], ['2', 'south korea', '2', '1', '0', '3'], ['3', 'kazakhstan', '1', '3', '2', '6'], ['4', 'qatar', '1', '2', '2', '5'], ['5', 'china', '1', '1', '4', '6'], ['6', 'saudi arabia', '0', '2', '0', '2'], ['7', 'japan', '0', '1', '2', '3'], ['8', 'chinese taipei', '0', '0', '1', '1'], ['8'... |
soccer - specific stadium | https://en.wikipedia.org/wiki/Soccer-specific_stadium | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1034291-6.html.csv | aggregation | the average seating capacity for the soccer-specific stadiums is 4736 . | {'scope': 'all', 'col': '5', 'type': 'average', 'result': '4736', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'capacity'], 'result': '4736', 'ind': 0, 'tostr': 'avg { all_rows ; capacity }'}, '4736'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; capacity } ; 4736 } = true', 'tointer': 'the average of the capacity record of all rows is 4736 .'... | round_eq { avg { all_rows ; capacity } ; 4736 } = true | the average of the capacity record of all rows is 4736 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'capacity_4': 4, '4736_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'capacity_4': 'capacity', '4736_5': '4736'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'capacity_4': [0], '4736_5': [1]} | ['stadium', 'club ( s )', 'division', 'city', 'capacity', 'opened'] | [['blackbaud stadium', 'charleston battery', 'usl pro', 'charleston , sc', '5113', '1999'], ['city park stadium', 'westchester flames', 'pdl', 'new rochelle , ny', '1845', '1970s'], ['seminole soccer complex ( sanford )', 'central florida kraze', 'pdl', 'lake mary , fl', '3666', '1995'], ['ezell park', 'nashville metro... |
athletics at the 2008 summer olympics - men 's 200 metres | https://en.wikipedia.org/wiki/Athletics_at_the_2008_Summer_Olympics_%E2%80%93_Men%27s_200_metres | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18569011-12.html.csv | superlative | the athlete that represented zimbabwe scored the fastest time in the 200 meters competition . | {'scope': 'all', 'col_superlative': '5', 'row_superlative': '1', 'value_mentioned': 'no', 'max_or_min': 'min', 'other_col': '4', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmin', 'args': ['all_rows', 'time'], 'result': None, 'ind': 0, 'tostr': 'argmin { all_rows ; time }'}, 'nationality'], 'result': 'zimbabwe', 'ind': 1, 'tostr': 'hop { argmin { all_rows ; time } ; nationality }'}, 'zimbabwe'], 'result': True, 'ind': 2,... | eq { hop { argmin { all_rows ; time } ; nationality } ; zimbabwe } = true | select the row whose time record of all rows is minimum . the nationality record of this row is zimbabwe . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmin_0': 0, 'all_rows_4': 4, 'time_5': 5, 'nationality_6': 6, 'zimbabwe_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmin_0': 'argmin', 'all_rows_4': 'all_rows', 'time_5': 'time', 'nationality_6': 'nationality', 'zimbabwe_7': 'zimbabwe'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmin_0': [1], 'all_rows_4': [0], 'time_5': [0], 'nationality_6': [1], 'zimbabwe_7': [2]} | ['rank', 'lane', 'athlete', 'nationality', 'time', 'react'] | [['1', '4', 'brian dzingai', 'zimbabwe', '20.23', '0.182'], ['2', '7', 'walter dix', 'united states', '20.27', '0.162'], ['3', '8', 'christopher williams', 'jamaica', '20.28', '0.159'], ['4', '6', 'christian malcolm', 'great britain', '20.30', '0.188'], ['5', '9', 'stephan buckland', 'mauritius', '20.37', '0.188'], ['6... |
1966 dutch grand prix | https://en.wikipedia.org/wiki/1966_Dutch_Grand_Prix | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1122356-1.html.csv | comparative | in the 1966 dutch grand prix , graham hill finished faster than jim clark . | {'row_1': '2', 'row_2': '3', 'col': '4', 'col_other': '1', 'relation': 'less', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'less', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'driver', 'graham hill'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose driver record fuzzily matches to graham hill .', 'tostr': 'filter_eq { all_rows ; driver ; graham hill }'}, 'time / retired'], 'resu... | less { hop { filter_eq { all_rows ; driver ; graham hill } ; time / retired } ; hop { filter_eq { all_rows ; driver ; jim clark } ; time / retired } } = true | select the rows whose driver record fuzzily matches to graham hill . take the time / retired record of this row . select the rows whose driver record fuzzily matches to jim clark . take the time / retired 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, 'driver_7': 7, 'graham hill_8': 8, 'time / retired_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'driver_11': 11, 'jim clark_12': 12, 'time / retired_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', 'driver_7': 'driver', 'graham hill_8': 'graham hill', 'time / retired_9': 'time / retired', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'driver_11': 'dr... | {'less_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'driver_7': [0], 'graham hill_8': [0], 'time / retired_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'driver_11': [1], 'jim clark_12': [1], 'time / retired_13': [3]} | ['driver', 'constructor', 'laps', 'time / retired', 'grid'] | [['jack brabham', 'brabham - repco', '90', '2:20:32.5', '1'], ['graham hill', 'brm', '89', '+ 1 lap', '7'], ['jim clark', 'lotus - climax', '88', '+ 2 laps', '3'], ['jackie stewart', 'brm', '88', '+ 2 laps', '8'], ['mike spence', 'lotus - brm', '87', '+ 3 laps', '12'], ['lorenzo bandini', 'ferrari', '87', '+ 3 laps', '... |
2008 - 09 in argentine football | https://en.wikipedia.org/wiki/2008%E2%80%9309_in_Argentine_football | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-18027411-1.html.csv | count | three of the teams did not play in the 2008 recopa sudamericana . | {'scope': 'all', 'criterion': 'equal', 'value': 'did not play', 'result': '3', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', '2008 recopa sudamericana', 'did not play'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose 2008 recopa sudamericana record fuzzily matches to did not play .', 'tostr': 'filter_eq { all_rows ; 2008 recopa suda... | eq { count { filter_eq { all_rows ; 2008 recopa sudamericana ; did not play } } ; 3 } = true | select the rows whose 2008 recopa sudamericana record fuzzily matches to did not play . 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, '2008 recopa sudamericana_5': 5, 'did not play_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', '2008 recopa sudamericana_5': '2008 recopa sudamericana', 'did not play_6': 'did not play', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], '2008 recopa sudamericana_5': [0], 'did not play_6': [0], '3_7': [2]} | ['team / competition', '2008 suruga bank championship', '2008 recopa sudamericana', '2008 copa sudamericana', '2009 copa libertadores'] | [['argentinos juniors', 'did not play', 'did not play', 'semifinals eliminated by estudiantes', 'did not qualify'], ['arsenal de sarandí', 'champions defeated gamba osaka', 'runner up lost to boca juniors', 'round of 16 eliminated by estudiantes', 'did not qualify'], ['boca juniors', 'did not play', 'champions defeated... |
2008 - 09 serie a | https://en.wikipedia.org/wiki/2008%E2%80%9309_Serie_A | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17043360-1.html.csv | count | for the 2008 - 09 serie a , when the capacity is over 30000 , there were two times that the stadium was stadio giuseppe meazza . | {'scope': 'subset', 'criterion': 'equal', 'value': 'stadio giuseppe meazza', 'result': '2', 'col': '3', 'subset': {'col': '4', 'criterion': 'greater_than', 'value': '30000'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_greater', 'args': ['all_rows', 'capacity', '30000'], 'result': None, 'ind': 0, 'tostr': 'filter_greater { all_rows ; capacity ; 30000 }', 'tointer': 'select the rows whose capacity record is greater than 30000 .'}, 's... | eq { count { filter_eq { filter_greater { all_rows ; capacity ; 30000 } ; stadium ; stadio giuseppe meazza } } ; 2 } = true | select the rows whose capacity record is greater than 30000 . among these rows , select the rows whose stadium record fuzzily matches to stadio giuseppe meazza . the number of such rows is 2 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'count_2': 2, 'filter_str_eq_1': 1, 'filter_greater_0': 0, 'all_rows_5': 5, 'capacity_6': 6, '30000_7': 7, 'stadium_8': 8, 'stadio giuseppe meazza_9': 9, '2_10': 10} | {'eq_3': 'eq', 'result_4': 'true', 'count_2': 'count', 'filter_str_eq_1': 'filter_str_eq', 'filter_greater_0': 'filter_greater', 'all_rows_5': 'all_rows', 'capacity_6': 'capacity', '30000_7': '30000', 'stadium_8': 'stadium', 'stadio giuseppe meazza_9': 'stadio giuseppe meazza', '2_10': '2'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_str_eq_1': [2], 'filter_greater_0': [1], 'all_rows_5': [0], 'capacity_6': [0], '30000_7': [0], 'stadium_8': [1], 'stadio giuseppe meazza_9': [1], '2_10': [3]} | ['club', 'city', 'stadium', 'capacity', '2007 - 08 season'] | [['atalanta bc', 'bergamo', "stadio atleti azzurri d'italia", '26393', '9th in serie a'], ['bologna fc 1909', 'bologna', "stadio renato dall ' ara", '39444', '2nd in serie b'], ['cagliari calcio', 'cagliari', "stadio sant ' elia", '23486', '14th in serie a'], ['calcio catania', 'catania', 'stadio angelo massimino', '23... |
thiago alves ( tennis ) | https://en.wikipedia.org/wiki/Thiago_Alves_%28tennis%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14924949-12.html.csv | superlative | the highest score for thiago alves tennis tournaments was on march 5 , 2007 . | {'scope': 'all', 'col_superlative': '6', 'row_superlative': '2', '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 }'}, 'date'], 'result': 'march 5 , 2007', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; score } ; date }'}, 'march 5 , 2007'], 'result': True, 'ind': 2... | eq { hop { argmax { all_rows ; score } ; date } ; march 5 , 2007 } = true | select the row whose score record of all rows is maximum . the date record of this row is march 5 , 2007 . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'score_5': 5, 'date_6': 6, 'march 5 , 2007_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', 'date_6': 'date', 'march 5 , 2007_7': 'march 5 , 2007'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'score_5': [0], 'date_6': [1], 'march 5 , 2007_7': [2]} | ['date', 'tournament', 'surface', 'partnering', 'opponents', 'score'] | [['april 10 , 2006', 'florianópolis , brazil', 'clay', 'júlio silva', 'máximo gonzález sergio roitman', '6 - 2 , 3 - 6 ,'], ['march 5 , 2007', 'salinas , ecuador', 'hard', 'franco ferreiro', 'scott lipsky david martin', '7 - 5 , 7 - 6 ( 11 - 9 )'], ['september 29 , 2008', 'aracaju , brazil', 'clay', 'joão souza', 'juan... |
2006 u.s. open ( golf ) | https://en.wikipedia.org/wiki/2006_U.S._Open_%28golf%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12523044-4.html.csv | superlative | the player from scotland had the lowest score of all players in the 2006 u.s. open . | {'scope': 'all', 'col_superlative': '4', 'row_superlative': '1', 'value_mentioned': 'no', 'max_or_min': 'min', 'other_col': '3', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmin', 'args': ['all_rows', 'score'], 'result': None, 'ind': 0, 'tostr': 'argmin { all_rows ; score }'}, 'country'], 'result': 'scotland', 'ind': 1, 'tostr': 'hop { argmin { all_rows ; score } ; country }'}, 'scotland'], 'result': True, 'ind': 2, 'tos... | eq { hop { argmin { all_rows ; score } ; country } ; scotland } = true | select the row whose score record of all rows is minimum . the country record of this row is scotland . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmin_0': 0, 'all_rows_4': 4, 'score_5': 5, 'country_6': 6, 'scotland_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmin_0': 'argmin', 'all_rows_4': 'all_rows', 'score_5': 'score', 'country_6': 'country', 'scotland_7': 'scotland'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmin_0': [1], 'all_rows_4': [0], 'score_5': [0], 'country_6': [1], 'scotland_7': [2]} | ['place', 'player', 'country', 'score', 'to par'] | [['1', 'colin montgomerie', 'scotland', '69', '- 1'], ['t2', 'jim furyk', 'united states', '70', 'e'], ['t2', 'david howell', 'england', '70', 'e'], ['t2', 'miguel ángel jiménez', 'spain', '70', 'e'], ['t2', 'phil mickelson', 'united states', '70', 'e'], ['t2', 'steve stricker', 'united states', '70', 'e'], ['t7', 'joh... |
1956 vfl season | https://en.wikipedia.org/wiki/1956_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10640687-7.html.csv | ordinal | mcg venue recorded the highest crowd participation during the 1956 vfl season . | {'row': '5', 'col': '6', 'order': '1', 'col_other': '5', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'crowd', '1'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; crowd ; 1 }'}, 'venue'], 'result': 'mcg', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; crowd ; 1 } ; venue }'}, 'mcg'], 'result': True, 'in... | eq { hop { nth_argmax { all_rows ; crowd ; 1 } ; venue } ; mcg } = true | select the row whose crowd record of all rows is 1st maximum . the venue record of this row is mcg . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'crowd_5': 5, '1_6': 6, 'venue_7': 7, 'mcg_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmax_0': 'nth_argmax', 'all_rows_4': 'all_rows', 'crowd_5': 'crowd', '1_6': '1', 'venue_7': 'venue', 'mcg_8': 'mcg'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'crowd_5': [0], '1_6': [0], 'venue_7': [1], 'mcg_8': [2]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['north melbourne', '15.7 ( 97 )', 'south melbourne', '7.16 ( 58 )', 'arden street oval', '13000', '26 may 1956'], ['st kilda', '9.10 ( 64 )', 'richmond', '6.8 ( 44 )', 'junction oval', '15800', '26 may 1956'], ['hawthorn', '8.10 ( 58 )', 'fitzroy', '9.13 ( 67 )', 'glenferrie oval', '18000', '26 may 1956'], ['geelong'... |
2009 nhl winter classic | https://en.wikipedia.org/wiki/2009_NHL_Winter_Classic | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18463659-1.html.csv | count | in the 2009 nhl winter classic , when the team is detroit , there were 2 times when jiri hudler scored a goal . | {'scope': 'subset', 'criterion': 'fuzzily_match', 'value': 'jiri hudler', 'result': '2', 'col': '3', 'subset': {'col': '2', 'criterion': 'equal', 'value': 'det'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'team', 'det'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; team ; det }', 'tointer': 'select the rows whose team record fuzzily matches to det .'}, 'goal', 'jiri hudler'],... | eq { count { filter_eq { filter_eq { all_rows ; team ; det } ; goal ; jiri hudler } } ; 2 } = true | select the rows whose team record fuzzily matches to det . among these rows , select the rows whose goal record fuzzily matches to jiri hudler . the number of such rows is 2 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'count_2': 2, 'filter_str_eq_1': 1, 'filter_str_eq_0': 0, 'all_rows_5': 5, 'team_6': 6, 'det_7': 7, 'goal_8': 8, 'jiri hudler_9': 9, '2_10': 10} | {'eq_3': 'eq', 'result_4': 'true', 'count_2': 'count', 'filter_str_eq_1': 'filter_str_eq', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_5': 'all_rows', 'team_6': 'team', 'det_7': 'det', 'goal_8': 'goal', 'jiri hudler_9': 'jiri hudler', '2_10': '2'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_str_eq_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'team_6': [0], 'det_7': [0], 'goal_8': [1], 'jiri hudler_9': [1], '2_10': [3]} | ['period', 'team', 'goal', 'assist ( s )', 'time', 'score'] | [['1st', 'chi', 'kris versteeg ( 11 ) ( pp )', 'martin havlat ( 18 ) , brent seabrook ( 7 )', '3:24', '1 - 0 chi'], ['1st', 'det', 'mikael samuelsson ( 8 ) ( pp )', 'henrik zetterberg ( 18 ) , marian hossa ( 18 )', '9:50', '1 - 1'], ['1st', 'chi', 'martin havlat ( 10 ) ( pp )', 'kris versteeg ( 20 ) , brian campbell ( ... |
1949 giro d'italia | https://en.wikipedia.org/wiki/1949_Giro_d%27Italia | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12582434-1.html.csv | majority | all the winners of the 1949 giro d'italia were italian . | {'scope': 'all', 'col': '5', 'most_or_all': 'all', 'criterion': 'fuzzily_match', 'value': '( ita )', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'winner', '( ita )'], 'result': True, 'ind': 0, 'tointer': 'for the winner records of all rows , all of them fuzzily match to ( ita ) .', 'tostr': 'all_eq { all_rows ; winner ; ( ita ) } = true'} | all_eq { all_rows ; winner ; ( ita ) } = true | for the winner records of all rows , all of them fuzzily match to ( ita ) . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'winner_3': 3, '( ita )_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'winner_3': 'winner', '( ita )_4': '( ita )'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'winner_3': [0], '( ita )_4': [0]} | ['date', 'course', 'distance', 'type', 'winner'] | [['21 may', 'palermo to catania', '100 km', 'stage with mountain ( s )', 'mario fazio ( ita )'], ['22 may', 'catania to messina', '100 km', 'plain stage', 'sergio maggini ( ita )'], ['23 may', 'villa san giovanni to cosenza', '100 km', 'stage with mountain ( s )', 'guido de santi ( ita )'], ['24 may', 'cosenza to saler... |
list of pittsburgh penguins general managers | https://en.wikipedia.org/wiki/List_of_Pittsburgh_Penguins_general_managers | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-13834044-2.html.csv | aggregation | the pittsburgh penguins played 375 games with jack riley as general manager . | {'scope': 'subset', 'col': '3', 'type': 'sum', 'result': '375', 'subset': {'col': '1', 'criterion': 'equal', 'value': 'jack riley'}} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'name', 'jack riley'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; name ; jack riley }', 'tointer': 'select the rows whose name record fuzzily matches to jack riley .'}, 'games'], 'result': '375', 'ind':... | round_eq { sum { filter_eq { all_rows ; name ; jack riley } ; games } ; 375 } = true | select the rows whose name record fuzzily matches to jack riley . the sum of the games record of these rows is 375 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'sum_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'name_5': 5, 'jack riley_6': 6, 'games_7': 7, '375_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'sum_1': 'sum', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'name_5': 'name', 'jack riley_6': 'jack riley', 'games_7': 'games', '375_8': '375'} | {'eq_2': [3], 'result_3': [], 'sum_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'name_5': [0], 'jack riley_6': [0], 'games_7': [1], '375_8': [2]} | ['name', 'term', 'games', 'record ( w - l - t / otl )', 'points', 'win percentage'] | [['jack riley', 'june 6 , 1967 - may 1 , 1970', '226', '73 - 117 - 36', '182', '403'], ['red kelly', 'may 1 , 1970 - january 29 , 1972', '126', '33 - 64 - 29', '95', '377'], ['jack riley', 'january 29 , 1972 - january 13 , 1974', '149', '57 - 73 - 19', '133', '446'], ['jack button', 'january 13 , 1974 - july 1 , 1975',... |
1983 - 84 north west counties football league | https://en.wikipedia.org/wiki/1983%E2%80%9384_North_West_Counties_Football_League | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-17718005-2.html.csv | superlative | in the 1983 - 84 north west counties football league , of teams that lost at least 10 games , the highest number of goals against was for rosendale united . | {'scope': 'subset', 'col_superlative': '8', 'row_superlative': '15', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '2,4', 'subset': {'col': '6', 'criterion': 'greater_than_eq', 'value': '10'}} | {'func': 'and', 'args': [{'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': [{'func': 'filter_greater_eq', 'args': ['all_rows', 'lost', '10'], 'result': None, 'ind': 0, 'tostr': 'filter_greater_eq { all_rows ; lost ; 10 }', 'tointer': 'select the rows whose lost record is greater than o... | and { eq { hop { argmax { filter_greater_eq { all_rows ; lost ; 10 } ; goals against } ; team } ; rossendale united } ; eq { hop { argmax { filter_greater_eq { all_rows ; lost ; 10 } ; goals against } ; won } ; 10 } } = true | select the rows whose lost record is greater than or equal to 10 . select the row whose goals against record of these rows is maximum . the team record of this row is rossendale united . the won record of this row is 10 . | 9 | 7 | {'and_6': 6, 'result_7': 7, 'str_eq_3': 3, 'str_hop_2': 2, 'argmax_1': 1, 'filter_greater_eq_0': 0, 'all_rows_8': 8, 'lost_9': 9, '10_10': 10, 'goals against_11': 11, 'team_12': 12, 'rossendale united_13': 13, 'eq_5': 5, 'num_hop_4': 4, 'won_14': 14, '10_15': 15} | {'and_6': 'and', 'result_7': 'true', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'argmax_1': 'argmax', 'filter_greater_eq_0': 'filter_greater_eq', 'all_rows_8': 'all_rows', 'lost_9': 'lost', '10_10': '10', 'goals against_11': 'goals against', 'team_12': 'team', 'rossendale united_13': 'rossendale united', 'eq_5': 'eq... | {'and_6': [7], 'result_7': [], 'str_eq_3': [6], 'str_hop_2': [3], 'argmax_1': [2, 4], 'filter_greater_eq_0': [1], 'all_rows_8': [0], 'lost_9': [0], '10_10': [0], 'goals against_11': [1], 'team_12': [2], 'rossendale united_13': [3], 'eq_5': [6], 'num_hop_4': [5], 'won_14': [4], '10_15': [5]} | ['position', 'team', 'played', 'won', 'drawn', 'lost', 'goals for', 'goals against', 'goal difference', 'points 1'] | [['1', 'fleetwood town', '34', '24', '8', '2', '73', '24', '+ 49', '56'], ['2', 'eastwood hanley', '34', '21', '6', '7', '69', '35', '+ 34', '48'], ['3', 'irlam town', '34', '19', '8', '7', '67', '41', '+ 26', '46'], ['4', 'warrington town', '34', '18', '7', '9', '65', '45', '+ 20', '43'], ['5', 'droylsden', '34', '19'... |
1989 all - ireland senior hurling championship | https://en.wikipedia.org/wiki/1989_All-Ireland_Senior_Hurling_Championship | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12296897-3.html.csv | majority | in the 1989 all - ireland senior hurling championship , of the players who had at least 3 matches , most of them had an average of at least 8 . | {'scope': 'subset', 'col': '7', 'most_or_all': 'most', 'criterion': 'greater_than_eq', 'value': '8', 'subset': {'col': '6', 'criterion': 'greater_than_eq', 'value': '3'}} | {'func': 'most_greater_eq', 'args': [{'func': 'filter_greater_eq', 'args': ['all_rows', 'matches', '3'], 'result': None, 'ind': 0, 'tostr': 'filter_greater_eq { all_rows ; matches ; 3 }', 'tointer': 'select the rows whose matches record is greater than or equal to 3 .'}, 'average', '8'], 'result': True, 'ind': 1, 'toin... | most_greater_eq { filter_greater_eq { all_rows ; matches ; 3 } ; average ; 8 } = true | select the rows whose matches record is greater than or equal to 3 . for the average records of these rows , most of them are greater than or equal to 8 . | 2 | 2 | {'most_greater_eq_1': 1, 'result_2': 2, 'filter_greater_eq_0': 0, 'all_rows_3': 3, 'matches_4': 4, '3_5': 5, 'average_6': 6, '8_7': 7} | {'most_greater_eq_1': 'most_greater_eq', 'result_2': 'true', 'filter_greater_eq_0': 'filter_greater_eq', 'all_rows_3': 'all_rows', 'matches_4': 'matches', '3_5': '3', 'average_6': 'average', '8_7': '8'} | {'most_greater_eq_1': [2], 'result_2': [], 'filter_greater_eq_0': [1], 'all_rows_3': [0], 'matches_4': [0], '3_5': [0], 'average_6': [1], '8_7': [1]} | ['rank', 'player', 'county', 'tally', 'total', 'matches', 'average'] | [['1', 'nicky english', 'tipperary', '4 - 38', '50', '4', '12.50'], ['2', 'adrian ronan', 'kilkenny', '1 - 21', '24', '3', '8.00'], ['2', 'mark corrigan', 'offaly', '4 - 12', '24', '3', '8.00'], ['4', 'finbarr delaney', 'cork', '1 - 19', '23', '2', '8.00'], ['5', 'pat fox', 'tipperary', '3 - 11', '20', '4', '5.00']] |
mitsuo itoh | https://en.wikipedia.org/wiki/Mitsuo_Itoh | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15250161-2.html.csv | aggregation | between the years of 1966 and 1967 , mitsuo itoh scored 15 points . | {'scope': 'subset', 'col': '4', 'type': 'sum', 'result': '15', 'subset': {'col': '1', 'criterion': 'greater_than_eq', 'value': '1966'}} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': [{'func': 'filter_greater_eq', 'args': ['all_rows', 'year', '1966'], 'result': None, 'ind': 0, 'tostr': 'filter_greater_eq { all_rows ; year ; 1966 }', 'tointer': 'select the rows whose year record is greater than or equal to 1966 .'}, 'points'], 'result': '15', 'in... | round_eq { sum { filter_greater_eq { all_rows ; year ; 1966 } ; points } ; 15 } = true | select the rows whose year record is greater than or equal to 1966 . the sum of the points record of these rows is 15 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'sum_1': 1, 'filter_greater_eq_0': 0, 'all_rows_4': 4, 'year_5': 5, '1966_6': 6, 'points_7': 7, '15_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'sum_1': 'sum', 'filter_greater_eq_0': 'filter_greater_eq', 'all_rows_4': 'all_rows', 'year_5': 'year', '1966_6': '1966', 'points_7': 'points', '15_8': '15'} | {'eq_2': [3], 'result_3': [], 'sum_1': [2], 'filter_greater_eq_0': [1], 'all_rows_4': [0], 'year_5': [0], '1966_6': [0], 'points_7': [1], '15_8': [2]} | ['year', 'class', 'team', 'points', 'wins'] | [['1961', '125cc', 'suzuki', '0', '0'], ['1961', '250cc', 'suzuki', '0', '0'], ['1962', '50cc', 'suzuki', '23', '0'], ['1962', '125cc', 'suzuki', '4', '0'], ['1963', '50cc', 'suzuki', '20', '1'], ['1963', '125cc', 'suzuki', '1', '0'], ['1964', '50cc', 'suzuki', '19', '0'], ['1964', '125cc', 'suzuki', '6', '0'], ['1965'... |
werner pfirter | https://en.wikipedia.org/wiki/Werner_Pfirter | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16431762-2.html.csv | superlative | werner pfirter had the highest number of points with a 350cc in 1971 . | {'scope': 'all', 'col_superlative': '4', 'row_superlative': '4', 'value_mentioned': 'yes', 'max_or_min': 'max', 'other_col': '1', 'subset': None} | {'func': 'and', 'args': [{'func': 'eq', 'args': [{'func': 'max', 'args': ['all_rows', 'points'], 'result': '33', 'ind': 0, 'tostr': 'max { all_rows ; points }', 'tointer': 'the maximum points record of all rows is 33 .'}, '33'], 'result': True, 'ind': 1, 'tostr': 'eq { max { all_rows ; points } ; 33 }', 'tointer': 'the... | and { eq { max { all_rows ; points } ; 33 } ; eq { hop { argmax { all_rows ; points } ; year } ; 1971 } } = true | the maximum points record of all rows is 33 . the year record of the row with superlative points record is 1971 . | 6 | 6 | {'and_5': 5, 'result_6': 6, 'eq_1': 1, 'max_0': 0, 'all_rows_7': 7, 'points_8': 8, '33_9': 9, 'eq_4': 4, 'num_hop_3': 3, 'argmax_2': 2, 'all_rows_10': 10, 'points_11': 11, 'year_12': 12, '1971_13': 13} | {'and_5': 'and', 'result_6': 'true', 'eq_1': 'eq', 'max_0': 'max', 'all_rows_7': 'all_rows', 'points_8': 'points', '33_9': '33', 'eq_4': 'eq', 'num_hop_3': 'num_hop', 'argmax_2': 'argmax', 'all_rows_10': 'all_rows', 'points_11': 'points', 'year_12': 'year', '1971_13': '1971'} | {'and_5': [6], 'result_6': [], 'eq_1': [5], 'max_0': [1], 'all_rows_7': [0], 'points_8': [0], '33_9': [1], 'eq_4': [5], 'num_hop_3': [4], 'argmax_2': [3], 'all_rows_10': [2], 'points_11': [2], 'year_12': [3], '1971_13': [4]} | ['year', 'class', 'team', 'points', 'wins'] | [['1970', '250cc', 'yamaha', '0', '0'], ['1970', '350cc', 'yamaha', '0', '0'], ['1971', '250cc', 'yamaha', '9', '0'], ['1971', '350cc', 'yamaha', '33', '0'], ['1972', '250cc', 'yamaha', '28', '0'], ['1972', '350cc', 'yamaha', '17', '0'], ['1973', '250cc', 'yamaha', '20', '0'], ['1973', '350cc', 'yamaha', '17', '0']] |
list of birds on stamps of bhutan | https://en.wikipedia.org/wiki/List_of_birds_on_stamps_of_Bhutan | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-2006661-1.html.csv | majority | the majority of the time yvert had a value of zero . | {'scope': 'all', 'col': '8', 'most_or_all': 'most', 'criterion': 'equal', 'value': '0', 'subset': None} | {'func': 'most_eq', 'args': ['all_rows', 'yvert', '0'], 'result': True, 'ind': 0, 'tointer': 'for the yvert records of all rows , most of them are equal to 0 .', 'tostr': 'most_eq { all_rows ; yvert ; 0 } = true'} | most_eq { all_rows ; yvert ; 0 } = true | for the yvert records of all rows , most of them are equal to 0 . | 1 | 1 | {'most_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'yvert_3': 3, '0_4': 4} | {'most_eq_0': 'most_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'yvert_3': 'yvert', '0_4': '0'} | {'most_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'yvert_3': [0], '0_4': [0]} | ['year', 'date', 'type', 'species', 'author species', 'value', 'scott', 'yvert', 'mitchell', 'sta & gib', 'order', 'family'] | [['1968', '( 20.01 )', 'nor', 'tragopan satyra', '( linnaeus , 1758 )', '1c', '92', '143', '179', '0', 'galliformes', 'phasianidae'], ['1968', '( 23.04 )', 'nor', 'lophophorus sclateri', 'jerdon , 1870', '4n', '92 g', '150', '186', '0', 'galliformes', 'phasianidae'], ['1968', '( 07.12 )', 'nor', 'liocichla phoenicea', ... |
1977 baltimore colts season | https://en.wikipedia.org/wiki/1977_Baltimore_Colts_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-14945608-1.html.csv | aggregation | the 1977 baltimore colts scored an average of 20.38 points per game . | {'scope': 'all', 'col': '4', 'type': 'average', 'result': '20.38', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'result'], 'result': '20.38', 'ind': 0, 'tostr': 'avg { all_rows ; result }'}, '20.38'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; result } ; 20.38 } = true', 'tointer': 'the average of the result record of all rows is 20.38 .'} | round_eq { avg { all_rows ; result } ; 20.38 } = true | the average of the result record of all rows is 20.38 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'result_4': 4, '20.38_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'result_4': 'result', '20.38_5': '20.38'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'result_4': [0], '20.38_5': [1]} | ['week', 'date', 'opponent', 'result', 'record', 'game site', 'attendance'] | [['1', 'september 18 , 1977', 'seattle seahawks', 'w 29 - 14', '1 - 0', 'kingdome', '58991'], ['2', 'september 25 , 1977', 'new york jets', 'w 20 - 12', '2 - 0', 'shea stadium', '43439'], ['3', 'october 2 , 1977', 'buffalo bills', 'w 17 - 14', '3 - 0', 'memorial stadium', '49247'], ['4', 'october 9 , 1977', 'miami dolp... |
1990 fei world equestrian games | https://en.wikipedia.org/wiki/1990_FEI_World_Equestrian_Games | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11871903-2.html.csv | comparative | in the 1990 fei world equestrian games , the united kingdom won more silver medals than finland . | {'row_1': '5', 'row_2': '11', 'col': '3', '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', 'nation', 'united kingdom'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose nation record fuzzily matches to united kingdom .', 'tostr': 'filter_eq { all_rows ; nation ; united kingdom }'}, 'silver'], '... | greater { hop { filter_eq { all_rows ; nation ; united kingdom } ; silver } ; hop { filter_eq { all_rows ; nation ; finland } ; silver } } = true | select the rows whose nation record fuzzily matches to united kingdom . take the silver record of this row . select the rows whose nation record fuzzily matches to finland . take the silver record of this row . the first record is greater than the second record . | 5 | 5 | {'greater_4': 4, 'result_5': 5, 'num_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'nation_7': 7, 'united kingdom_8': 8, 'silver_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'nation_11': 11, 'finland_12': 12, 'silver_13': 13} | {'greater_4': 'greater', 'result_5': 'true', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'nation_7': 'nation', 'united kingdom_8': 'united kingdom', 'silver_9': 'silver', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'nation_11': 'nation... | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'nation_7': [0], 'united kingdom_8': [0], 'silver_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'nation_11': [1], 'finland_12': [1], 'silver_13': [3]} | ['nation', 'gold', 'silver', 'bronze', 'total'] | [['west germany', '4', '4', '4', '12'], ['france', '2', '-', '1', '3'], ['new zealand', '2', '-', '-', '2'], ['sweden', '2', '-', '-', '2'], ['united kingdom', '1', '4', '1', '6'], ['united states', '1', '-', '2', '3'], ['switzerland', '1', '-', '1', '2'], ['hungary', '-', '1', '1', '2'], ['netherlands', '-', '1', '1',... |
2008 - 09 toronto raptors season | https://en.wikipedia.org/wiki/2008%E2%80%9309_Toronto_Raptors_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-17323092-7.html.csv | majority | the 2008 - 09 toronto raptors lost most of their games in february . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'fuzzily_match', 'value': 'l', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'score', 'l'], 'result': True, 'ind': 0, 'tointer': 'for the score records of all rows , most of them fuzzily match to l .', 'tostr': 'most_eq { all_rows ; score ; l } = true'} | most_eq { all_rows ; score ; l } = true | for the score records of all rows , most of them fuzzily match to l . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'score_3': 3, 'l_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'score_3': 'score', 'l_4': 'l'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'score_3': [0], 'l_4': [0]} | ['game', 'date', 'team', 'score', 'high points', 'high rebounds', 'high assists', 'location attendance', 'record'] | [['49', 'february 1', 'orlando', 'l 90 - 113 ( ot )', 'josé calderón ( 16 )', 'joey graham ( 12 )', 'josé calderón , will solomon ( 5 )', 'air canada centre 19800', '19 - 30'], ['50', 'february 3', 'cleveland', 'l 83 - 101 ( ot )', 'chris bosh ( 29 )', 'andrea bargnani ( 10 )', 'anthony parker ( 8 )', 'quicken loans ar... |
1998 - 99 european challenge cup pool stage | https://en.wikipedia.org/wiki/1998%E2%80%9399_European_Challenge_Cup_pool_stage | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-28204447-3.html.csv | aggregation | the six teams that competed in the 1998-99 european challenge , cup pool stage , got a total of 21 wins between them . | {'scope': 'all', 'col': '3', 'type': 'sum', 'result': '21', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': ['all_rows', 'w'], 'result': '21', 'ind': 0, 'tostr': 'sum { all_rows ; w }'}, '21'], 'result': True, 'ind': 1, 'tostr': 'round_eq { sum { all_rows ; w } ; 21 } = true', 'tointer': 'the sum of the w record of all rows is 21 .'} | round_eq { sum { all_rows ; w } ; 21 } = true | the sum of the w record of all rows is 21 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'sum_0': 0, 'all_rows_3': 3, 'w_4': 4, '21_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'sum_0': 'sum', 'all_rows_3': 'all_rows', 'w_4': 'w', '21_5': '21'} | {'eq_1': [2], 'result_2': [], 'sum_0': [1], 'all_rows_3': [0], 'w_4': [0], '21_5': [1]} | ['team', 'p', 'w', 'd', 'l', 'tries for', 'tries against', 'try diff', 'points for', 'points against', 'points diff', 'pts'] | [['brive', '6', '5', '0', '1', '35', '14', '+ 21', '241', '102', '+ 139', '10'], ['agen', '6', '4', '0', '2', '30', '11', '+ 19', '231', '93', '+ 138', '8'], ['pau', '6', '4', '0', '2', '25', '8', '+ 17', '211', '87', '+ 124', '8'], ['biarritz', '6', '4', '0', '2', '30', '14', '+ 16', '187', '124', '+ 63', '8'], ['brid... |
atlanta falcons draft history | https://en.wikipedia.org/wiki/Atlanta_Falcons_draft_history | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15198842-8.html.csv | aggregation | the average pick for the atlanta falcons draft history is about 13.14 . | {'scope': 'all', 'col': '2', 'type': 'average', 'result': '13.14', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'pick'], 'result': '13.14', 'ind': 0, 'tostr': 'avg { all_rows ; pick }'}, '13.14'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; pick } ; 13.14 } = true', 'tointer': 'the average of the pick record of all rows is 13.14 .'} | round_eq { avg { all_rows ; pick } ; 13.14 } = true | the average of the pick record of all rows is 13.14 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'pick_4': 4, '13.14_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'pick_4': 'pick', '13.14_5': '13.14'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'pick_4': [0], '13.14_5': [1]} | ['round', 'pick', 'overall', 'name', 'position', 'college'] | [['2', '13', '39', 'greg marx', 'defensive end', 'notre dame'], ['4', '16', '94', 'tom geredine', 'wide receiver', 'northeast missouri state'], ['6', '12', '142', 'nick bebout', 'offensive tackle', 'wyoming'], ['7', '14', '170', 'george campbell', 'defensive back', 'iowa state'], ['8', '13', '195', 'tom reed', 'guard',... |
2004 belarusian premier league | https://en.wikipedia.org/wiki/2004_Belarusian_Premier_League | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14749151-1.html.csv | aggregation | the average capacity of the venues for the 2004 belarusian premier league is under 10300 . | {'scope': 'all', 'col': '4', 'type': 'average', 'result': '10300', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'capacity'], 'result': '10300', 'ind': 0, 'tostr': 'avg { all_rows ; capacity }'}, '10300'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; capacity } ; 10300 } = true', 'tointer': 'the average of the capacity record of all rows is 1030... | round_eq { avg { all_rows ; capacity } ; 10300 } = true | the average of the capacity record of all rows is 10300 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'capacity_4': 4, '10300_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'capacity_4': 'capacity', '10300_5': '10300'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'capacity_4': [0], '10300_5': [1]} | ['team', 'location', 'venue', 'capacity', 'position in 2003'] | [['gomel', 'gomel', 'central , gomel', '11800', '1'], ['bate', 'borisov', 'city stadium , borisov', '5500', '2'], ['dinamo minsk', 'minsk', 'dinamo , minsk', '41040', '3'], ['torpedo - ska', 'minsk', 'torpedo , minsk', '5200', '4'], ['shakhtyor', 'soligorsk', 'stroitel', '5000', '5'], ['torpedo', 'zhodino', 'torpedo , ... |
1939 vfl season | https://en.wikipedia.org/wiki/1939_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10806852-7.html.csv | aggregation | the average crowd attendance for the 1939 vfl season was 17,750 . | {'scope': 'all', 'col': '6', 'type': 'average', 'result': '17750', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'crowd'], 'result': '17750', 'ind': 0, 'tostr': 'avg { all_rows ; crowd }'}, '17750'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; crowd } ; 17750 } = true', 'tointer': 'the average of the crowd record of all rows is 17750 .'} | round_eq { avg { all_rows ; crowd } ; 17750 } = true | the average of the crowd record of all rows is 17750 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'crowd_4': 4, '17750_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'crowd_4': 'crowd', '17750_5': '17750'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'crowd_4': [0], '17750_5': [1]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['geelong', '17.13 ( 115 )', 'north melbourne', '14.13 ( 97 )', 'corio oval', '8000', '3 june 1939'], ['fitzroy', '14.15 ( 99 )', 'melbourne', '18.14 ( 122 )', 'brunswick street oval', '11000', '3 june 1939'], ['south melbourne', '8.14 ( 62 )', 'st kilda', '13.17 ( 95 )', 'lake oval', '15000', '3 june 1939'], ['hawtho... |
18 to life | https://en.wikipedia.org/wiki/18_to_Life | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-25304789-1.html.csv | aggregation | the sitcom 18 to life had on average a rating around 0.6 among its five first episodes . | {'scope': 'all', 'col': '4', 'type': 'average', 'result': '0.6', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'rating'], 'result': '0.6', 'ind': 0, 'tostr': 'avg { all_rows ; rating }'}, '0.6'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; rating } ; 0.6 } = true', 'tointer': 'the average of the rating record of all rows is 0.6 .'} | round_eq { avg { all_rows ; rating } ; 0.6 } = true | the average of the rating record of all rows is 0.6 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'rating_4': 4, '0.6_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'rating_4': 'rating', '0.6_5': '0.6'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'rating_4': [0], '0.6_5': [1]} | ['order', 'episode', 'us air date', 'rating', 'share', 'rating / share ( 1849 )', 'viewers ( millions )', 'rank ( timeslot )'] | [['1', 'a modest proposal', 'august 3 , 2010', '0.7', '1', '0.4 / 1', '1.010', '5'], ['2', 'no strings attached', 'august 3 , 2010', '0.6', '1', '0.3 / 1', '0.862', '5'], ['3', "it 's my party", 'august 10 , 2010', '0.6', '1', '0.3 / 1', '0.747', '5'], ['4', 'detour', 'august 10 , 2010', '0.5', '1', '0.3 / 1', '0.776',... |
2007 - 08 portland trail blazers season | https://en.wikipedia.org/wiki/2007%E2%80%9308_Portland_Trail_Blazers_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-11964047-8.html.csv | aggregation | during the 2007-2008 season , the portland trail blazers ' total attendance at the rose garden was 121,570 . | {'scope': 'subset', 'col': '7', 'type': 'sum', 'result': '121570', 'subset': {'col': '7', 'criterion': 'fuzzily_match', 'value': 'rose garden'}} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'attendance', 'rose garden'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; attendance ; rose garden }', 'tointer': 'select the rows whose attendance record fuzzily matches to rose garden .'}, 'attendance'... | round_eq { sum { filter_eq { all_rows ; attendance ; rose garden } ; attendance } ; 121570 } = true | select the rows whose attendance record fuzzily matches to rose garden . the sum of the attendance record of these rows is 121570 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'sum_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'attendance_5': 5, 'rose garden_6': 6, 'attendance_7': 7, '121570_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'sum_1': 'sum', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'attendance_5': 'attendance', 'rose garden_6': 'rose garden', 'attendance_7': 'attendance', '121570_8': '121570'} | {'eq_2': [3], 'result_3': [], 'sum_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'attendance_5': [0], 'rose garden_6': [0], 'attendance_7': [1], '121570_8': [2]} | ['', 'date', 'visitor', 'score', 'home', 'leading scorer', 'attendance', 'record', 'streak'] | [['46', 'february 1', 'new york knicks', 'w 94 - 88 ot', 'portland trail blazers', 'randolph : 25', 'rose garden 20422', '27 - 19', 'w1'], ['47', 'february 4', 'denver nuggets', 'l 105 - 103 ot', 'portland trail blazers', 'anthony : 28', 'rose garden 20320', '27 - 20', 'l1'], ['48', 'february 6', 'chicago bulls', 'w 97... |
1971 vfl season | https://en.wikipedia.org/wiki/1971_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10826072-3.html.csv | majority | the majority of the games in the 1971 season had over 10,000 attendees in the crowd . | {'scope': 'all', 'col': '6', 'most_or_all': 'most', 'criterion': 'greater_than', 'value': '10000', 'subset': None} | {'func': 'most_greater', 'args': ['all_rows', 'crowd', '10000'], 'result': True, 'ind': 0, 'tointer': 'for the crowd records of all rows , most of them are greater than 10000 .', 'tostr': 'most_greater { all_rows ; crowd ; 10000 } = true'} | most_greater { all_rows ; crowd ; 10000 } = true | for the crowd records of all rows , most of them are greater than 10000 . | 1 | 1 | {'most_greater_0': 0, 'result_1': 1, 'all_rows_2': 2, 'crowd_3': 3, '10000_4': 4} | {'most_greater_0': 'most_greater', 'result_1': 'true', 'all_rows_2': 'all_rows', 'crowd_3': 'crowd', '10000_4': '10000'} | {'most_greater_0': [1], 'result_1': [], 'all_rows_2': [0], 'crowd_3': [0], '10000_4': [0]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['footscray', '14.15 ( 99 )', 'south melbourne', '14.9 ( 93 )', 'western oval', '15003', '17 april 1971'], ['fitzroy', '17.26 ( 128 )', 'north melbourne', '14.10 ( 94 )', 'junction oval', '8917', '17 april 1971'], ['hawthorn', '16.19 ( 115 )', 'geelong', '16.11 ( 107 )', 'glenferrie oval', '14090', '17 april 1971'], [... |
1986 seattle seahawks season | https://en.wikipedia.org/wiki/1986_Seattle_Seahawks_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-13258818-2.html.csv | count | during the 1986 seattle seahawks season , 3 of the games played at the kingdome were attended by less than 62000 people . | {'scope': 'subset', 'criterion': 'less_than', 'value': '62000', 'result': '3', 'col': '7', 'subset': {'col': '5', 'criterion': 'equal', 'value': 'kingdome'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_less', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'game site', 'kingdome'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; game site ; kingdome }', 'tointer': 'select the rows whose game site record fuzzily matches to kingdome ... | eq { count { filter_less { filter_eq { all_rows ; game site ; kingdome } ; attendance ; 62000 } } ; 3 } = true | select the rows whose game site record fuzzily matches to kingdome . among these rows , select the rows whose attendance record is less than 62000 . the number of such rows is 3 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'count_2': 2, 'filter_less_1': 1, 'filter_str_eq_0': 0, 'all_rows_5': 5, 'game site_6': 6, 'kingdome_7': 7, 'attendance_8': 8, '62000_9': 9, '3_10': 10} | {'eq_3': 'eq', 'result_4': 'true', 'count_2': 'count', 'filter_less_1': 'filter_less', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_5': 'all_rows', 'game site_6': 'game site', 'kingdome_7': 'kingdome', 'attendance_8': 'attendance', '62000_9': '62000', '3_10': '3'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_less_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'game site_6': [0], 'kingdome_7': [0], 'attendance_8': [1], '62000_9': [1], '3_10': [3]} | ['week', 'date', 'opponent', 'result', 'game site', 'record', 'attendance'] | [['1', 'september 7 , 1986', 'pittsburgh steelers', 'w 30 - 0', 'kingdome', '1 - 0', '61461'], ['2', 'september 14 , 1986', 'kansas city chiefs', 'w 23 - 17', 'kingdome', '2 - 0', '61068'], ['3', 'september 21 , 1986', 'new england patriots', 'w 38 - 31', 'sullivan stadium', '3 - 0', '58977'], ['4', 'september 28 , 198... |
list of members - elect of the united states house of representatives who never took their seats | https://en.wikipedia.org/wiki/List_of_members-elect_of_the_United_States_House_of_Representatives_who_never_took_their_seats | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-14158567-1.html.csv | count | one member-elect of the house of representatives was from the whig party . | {'scope': 'all', 'criterion': 'equal', 'value': 'whig', 'result': '1', 'col': '2', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'party', 'whig'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose party record fuzzily matches to whig .', 'tostr': 'filter_eq { all_rows ; party ; whig }'}], 'result': '1', 'ind': 1, 'tostr': 'count { filter_e... | eq { count { filter_eq { all_rows ; party ; whig } } ; 1 } = true | select the rows whose party record fuzzily matches to whig . the number of such rows is 1 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'party_5': 5, 'whig_6': 6, '1_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'party_5': 'party', 'whig_6': 'whig', '1_7': '1'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'party_5': [0], 'whig_6': [0], '1_7': [2]} | ['member - elect', 'party', 'district', 'election date', 'congress', 'reason for non - seating'] | [['augustus f allen', 'democratic', 'ny - 33', 'november 3 , 1874', '44th', 'died january 22 , 1875'], ['andrew j campbell', 'republican', 'ny - 10', 'november 5 , 1894', '54th', 'died december 6 , 1894'], ['john cantine', 'democratic - republican', 'ny - 7', 'april 27 to 29 , 1802', '8th', 'elected , but declined to t... |
flavio cipolla | https://en.wikipedia.org/wiki/Flavio_Cipolla | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16474033-3.html.csv | unique | for flavio cipolla 's tournaments , of the ones in italy , the only time his opponent was marcel granollers was on may 30 , 2006 . | {'scope': 'subset', 'row': '1', 'col': '4', 'col_other': '1,2', 'criterion': 'equal', 'value': 'marcel granollers', 'subset': {'col': '2', 'criterion': 'fuzzily_match', 'value': 'italy'}} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'tournament', 'italy'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; tournament ; italy }', 'tointer': 'select the rows whose tournament record fuzzily matches to italy .'},... | and { only { filter_eq { filter_eq { all_rows ; tournament ; italy } ; opponent ; marcel granollers } } ; eq { hop { filter_eq { filter_eq { all_rows ; tournament ; italy } ; opponent ; marcel granollers } ; date } ; 30 may 2006 } } = true | select the rows whose tournament record fuzzily matches to italy . among these rows , select the rows whose opponent record fuzzily matches to marcel granollers . there is only one such row in the table . the date record of this unqiue row is 30 may 2006 . | 8 | 6 | {'and_5': 5, 'result_6': 6, 'only_2': 2, 'filter_str_eq_1': 1, 'filter_str_eq_0': 0, 'all_rows_7': 7, 'tournament_8': 8, 'italy_9': 9, 'opponent_10': 10, 'marcel granollers_11': 11, 'str_eq_4': 4, 'str_hop_3': 3, 'date_12': 12, '30 may 2006_13': 13} | {'and_5': 'and', 'result_6': 'true', 'only_2': 'only', 'filter_str_eq_1': 'filter_str_eq', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_7': 'all_rows', 'tournament_8': 'tournament', 'italy_9': 'italy', 'opponent_10': 'opponent', 'marcel granollers_11': 'marcel granollers', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop',... | {'and_5': [6], 'result_6': [], 'only_2': [5], 'filter_str_eq_1': [2, 3], 'filter_str_eq_0': [1], 'all_rows_7': [0], 'tournament_8': [0], 'italy_9': [0], 'opponent_10': [1], 'marcel granollers_11': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'date_12': [3], '30 may 2006_13': [4]} | ['date', 'tournament', 'surface', 'opponent', 'score'] | [['30 may 2006', 'turin , italy', 'clay', 'marcel granollers', '6 - 3 , 6 - 3'], ['31 july 2007', 'trani , italy', 'clay', 'pablo andújar', '4 - 6 , 6 - 2 , 6 - 4'], ['4 september 2007', 'genoa , italy', 'clay', 'gianluca naso', '6 - 2 , 6 - 7 ( 4 - 7 ) , 7 - 5'], ['1 january 2008', 'nouméa , new caledonia', 'hard', 's... |
2008 - 09 copa del rey | https://en.wikipedia.org/wiki/2008%E2%80%9309_Copa_del_Rey | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17074170-4.html.csv | comparative | elche and numancia scored the same amount of points , zero , during the second leg at the 2008-2009 copa del rey . | {'row_1': '15', 'row_2': '16', 'col': '5', 'col_other': '1', 'relation': 'equal', 'record_mentioned': 'yes', 'diff_result': None} | {'func': 'and', 'args': [{'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'team 1', 'elche'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose team 1 record fuzzily matches to elche .', 'tostr': 'filter_eq { all_rows ; team 1 ; elche }'}, '2nd leg'], 're... | and { eq { hop { filter_eq { all_rows ; team 1 ; elche } ; 2nd leg } ; hop { filter_eq { all_rows ; team 1 ; numancia } ; 2nd leg } } ; and { eq { hop { filter_eq { all_rows ; team 1 ; elche } ; 2nd leg } ; 0 - 2 } ; eq { hop { filter_eq { all_rows ; team 1 ; numancia } ; 2nd leg } ; 0 - 2 } } } = true | select the rows whose team 1 record fuzzily matches to elche . take the 2nd leg record of this row . select the rows whose team 1 record fuzzily matches to numancia . take the 2nd leg record of this row . the first record fuzzily matches to the second record . the 2nd leg record of the first row is 0 - 2 . the 2nd leg ... | 13 | 9 | {'and_8': 8, 'result_9': 9, 'str_eq_4': 4, 'str_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_10': 10, 'team 1_11': 11, 'elche_12': 12, '2nd leg_13': 13, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_14': 14, 'team 1_15': 15, 'numancia_16': 16, '2nd leg_17': 17, 'and_7': 7, 'str_eq_5': 5, '0 - 2_18': 18, 'str_eq_6': 6, ... | {'and_8': 'and', 'result_9': 'true', 'str_eq_4': 'str_eq', 'str_hop_2': 'str_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_10': 'all_rows', 'team 1_11': 'team 1', 'elche_12': 'elche', '2nd leg_13': '2nd leg', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_14': 'all_rows', 'team 1_15': 'team... | {'and_8': [9], 'result_9': [], 'str_eq_4': [8], 'str_hop_2': [4, 5], 'filter_str_eq_0': [2], 'all_rows_10': [0], 'team 1_11': [0], 'elche_12': [0], '2nd leg_13': [2], 'str_hop_3': [4, 6], 'filter_str_eq_1': [3], 'all_rows_14': [1], 'team 1_15': [1], 'numancia_16': [1], '2nd leg_17': [3], 'and_7': [8], 'str_eq_5': [7], ... | ['team 1', 'agg', 'team 2', '1st leg', '2nd leg'] | [['real unión', '( a ) 6 - 6', 'real madrid', '3 - 2', '3 - 4'], ['portugalete', '1 - 7', 'valencia', '1 - 4', '0 - 3'], ['ponferradina', '1 - 4', 'sevilla', '1 - 0', '0 - 4'], ['orihuela', '0 - 1', 'atlético', '0 - 1', '0 - 0'], ['poli ejido', '6 - 1', 'villarreal', '5 - 0', '1 - 1'], ['hércules', '3 - 7', 'valladolid... |
2010 - 11 uae pro - league | https://en.wikipedia.org/wiki/2010%E2%80%9311_UAE_Pro-League | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-27631756-2.html.csv | count | adidas was the kitmaker for three teams in the 2010 - 11 uae pro - league . | {'scope': 'all', 'criterion': 'equal', 'value': 'adidas', 'result': '3', 'col': '5', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'kitmaker', 'adidas'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose kitmaker record fuzzily matches to adidas .', 'tostr': 'filter_eq { all_rows ; kitmaker ; adidas }'}], 'result': '3', 'ind': 1, 'tostr': 'c... | eq { count { filter_eq { all_rows ; kitmaker ; adidas } } ; 3 } = true | select the rows whose kitmaker record fuzzily matches to adidas . 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, 'kitmaker_5': 5, 'adidas_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', 'kitmaker_5': 'kitmaker', 'adidas_6': 'adidas', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'kitmaker_5': [0], 'adidas_6': [0], '3_7': [2]} | ['team', 'chairman', 'head coach', 'captain', 'kitmaker', 'shirt sponsor'] | [['al ahli', 'abdullah saeed al naboodah', 'abdul hamid al mistaki', 'fabio cannavaro', 'adidas', 'toshiba'], ['al jazira', 'mansour bin zayed al nahyan', 'abel braga', 'ibrahim diaky', 'adidas', 'ipic'], ['al wahda', 'sheikh saeed bin zayed al nahyan', 'josef hickersberger', 'bashir saeed', 'nike', 'emal'], ['al ain',... |
washington redskins draft history | https://en.wikipedia.org/wiki/Washington_Redskins_draft_history | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17100961-80.html.csv | superlative | first lb picked in the 2009 washington redsins draft was cody glenn . | {'scope': 'subset', 'col_superlative': '3', 'row_superlative': '3', 'value_mentioned': 'no', 'max_or_min': 'min', 'other_col': '4,5', 'subset': {'col': '5', 'criterion': 'equal', 'value': 'lb'}} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmin', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'position', 'lb'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; position ; lb }', 'tointer': 'select the rows whose position record fuzzily matches to lb .'}, 'overall'], 're... | eq { hop { argmin { filter_eq { all_rows ; position ; lb } ; overall } ; name } ; cody glenn } = true | select the rows whose position record fuzzily matches to lb . select the row whose overall record of these rows is minimum . the name record of this row is cody glenn . | 4 | 4 | {'str_eq_3': 3, 'result_4': 4, 'str_hop_2': 2, 'argmin_1': 1, 'filter_str_eq_0': 0, 'all_rows_5': 5, 'position_6': 6, 'lb_7': 7, 'overall_8': 8, 'name_9': 9, 'cody glenn_10': 10} | {'str_eq_3': 'str_eq', 'result_4': 'true', 'str_hop_2': 'str_hop', 'argmin_1': 'argmin', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_5': 'all_rows', 'position_6': 'position', 'lb_7': 'lb', 'overall_8': 'overall', 'name_9': 'name', 'cody glenn_10': 'cody glenn'} | {'str_eq_3': [4], 'result_4': [], 'str_hop_2': [3], 'argmin_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'position_6': [0], 'lb_7': [0], 'overall_8': [1], 'name_9': [2], 'cody glenn_10': [3]} | ['round', 'pick', 'overall', 'name', 'position', 'college'] | [['1', '13', '13', 'brian orakpo', 'de', 'texas'], ['3', '16', '80', 'kevin barnes', 'cb', 'maryland'], ['5', '22', '158', 'cody glenn', 'lb', 'nebraska'], ['6', '13', '186', 'robert henson', 'lb', 'texas christian'], ['7', '12', '221', 'eddie williams', 'te', 'idaho'], ['7', '34', '243', 'marko mitchell', 'wr', 'nevad... |
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