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nt-10073
col : week | date | opponent | result | attendance row 1 : 1 | september 26, 1959 | at los angeles rams | w 23-21 | 71,297 row 2 : 2 | october 4, 1959 | at philadelphia eagles | l 49-21 | 27,023 row 3 : 3 | october 11, 1959 | at cleveland browns | w 10-6 | 65,534 row 4 : 4 | october 18, 1959 | philadelphia eagles | w 24-7 | 68,783 row 5 : 5 | october 25, 1959 | at pittsburgh steelers | w 21-16 | 33,596 row 6 : 6 | november 1, 1959 | green bay packers | w 20-3 | 68,837 row 7 : 7 | november 8, 1959 | chicago cardinals | w 9-3 | 56,779 row 8 : 8 | november 15, 1959 | pittsburgh steelers | l 14-9 | 66,786 row 9 : 9 | november 22, 1959 | at chicago cardinals (bloomington, mn) | w 30-20 | 26,625 row 10 : 10 | november 29, 1959 | washington redskins | w 45-14 | 60,982 row 11 : 11 | december 6, 1959 | cleveland browns | w 48-7 | 68,436 row 12 : 12 | december 13, 1959 | at washington redskins | w 24-10 | 26,198
table_csv/203_790.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ] }
[ "what are the dates of the 1959 new york giants season?" ]
2
september 26, 1959, october 4, 1959, october 11, 1959, october 18, 1959, october 25, 1959, november 1, 1959, november 8, 1959, november 15, 1959, november 22, 1959, november 29, 1959, december 6, 1959, december 13, 1959
[ "Week", "Date", "Opponent", "Result", "Attendance" ]
what are the dates of the 1959 new york giants season?
[ [ "1", "September 26, 1959", "at Los Angeles Rams", "W 23-21", "71,297" ], [ "2", "October 4, 1959", "at Philadelphia Eagles", "L 49-21", "27,023" ], [ "3", "October 11, 1959", "at Cleveland Browns", "W 10-6", "65,534" ], [ "4", "October 18, 1959", "Philadelphia Eagles", "W 24-7", "68,783" ], [ "5", "October 25, 1959", "at Pittsburgh Steelers", "W 21-16", "33,596" ], [ "6", "November 1, 1959", "Green Bay Packers", "W 20-3", "68,837" ], [ "7", "November 8, 1959", "Chicago Cardinals", "W 9-3", "56,779" ], [ "8", "November 15, 1959", "Pittsburgh Steelers", "L 14-9", "66,786" ], [ "9", "November 22, 1959", "at Chicago Cardinals (Bloomington, MN)", "W 30-20", "26,625" ], [ "10", "November 29, 1959", "Washington Redskins", "W 45-14", "60,982" ], [ "11", "December 6, 1959", "Cleveland Browns", "W 48-7", "68,436" ], [ "12", "December 13, 1959", "at Washington Redskins", "W 24-10", "26,198" ] ]
[ "September 26, 1959", "October 4, 1959", "October 11, 1959", "October 18, 1959", "October 25, 1959", "November 1, 1959", "November 8, 1959", "November 15, 1959", "November 22, 1959", "November 29, 1959", "December 6, 1959", "December 13, 1959" ]
what are the dates of the 1959 new york giants season? ||
nt-10073
col : week | date | opponent | result | attendance row 1 : 1 | september 26, 1959 | at los angeles rams | w 23-21 | 71,297 row 2 : 2 | october 4, 1959 | at philadelphia eagles | l 49-21 | 27,023 row 3 : 3 | october 11, 1959 | at cleveland browns | w 10-6 | 65,534 row 4 : 4 | october 18, 1959 | philadelphia eagles | w 24-7 | 68,783 row 5 : 5 | october 25, 1959 | at pittsburgh steelers | w 21-16 | 33,596 row 6 : 6 | november 1, 1959 | green bay packers | w 20-3 | 68,837 row 7 : 7 | november 8, 1959 | chicago cardinals | w 9-3 | 56,779 row 8 : 8 | november 15, 1959 | pittsburgh steelers | l 14-9 | 66,786 row 9 : 9 | november 22, 1959 | at chicago cardinals (bloomington, mn) | w 30-20 | 26,625 row 10 : 10 | november 29, 1959 | washington redskins | w 45-14 | 60,982 row 11 : 11 | december 6, 1959 | cleveland browns | w 48-7 | 68,436 row 12 : 12 | december 13, 1959 | at washington redskins | w 24-10 | 26,198
table_csv/203_790.csv
1
{ "column_index": [ 1 ], "row_index": [ 11 ] }
[ "what are the dates of the 1959 new york giants season?", "which of these had the smallest crowd of spectators?" ]
2
december 13, 1959
[ "Week", "Date", "Opponent", "Result", "Attendance" ]
which of these had the smallest crowd of spectators?
[ [ "1", "September 26, 1959", "at Los Angeles Rams", "W 23-21", "71,297" ], [ "2", "October 4, 1959", "at Philadelphia Eagles", "L 49-21", "27,023" ], [ "3", "October 11, 1959", "at Cleveland Browns", "W 10-6", "65,534" ], [ "4", "October 18, 1959", "Philadelphia Eagles", "W 24-7", "68,783" ], [ "5", "October 25, 1959", "at Pittsburgh Steelers", "W 21-16", "33,596" ], [ "6", "November 1, 1959", "Green Bay Packers", "W 20-3", "68,837" ], [ "7", "November 8, 1959", "Chicago Cardinals", "W 9-3", "56,779" ], [ "8", "November 15, 1959", "Pittsburgh Steelers", "L 14-9", "66,786" ], [ "9", "November 22, 1959", "at Chicago Cardinals (Bloomington, MN)", "W 30-20", "26,625" ], [ "10", "November 29, 1959", "Washington Redskins", "W 45-14", "60,982" ], [ "11", "December 6, 1959", "Cleveland Browns", "W 48-7", "68,436" ], [ "12", "December 13, 1959", "at Washington Redskins", "W 24-10", "26,198" ] ]
[ "December 13, 1959" ]
which of these had the smallest crowd of spectators? || what are the dates of the 1959 new york giants season?
nt-10077
col : party | candidate(s) | votes | percentage row 1 : uup | peter weir alan mcfarland roy bradford john shields | 9,270 | 25.6 row 2 : uk unionist | robert mccartney valerie kinghan patricia watson | 7,579 | 20.9 row 3 : dup | st clair mcalister ruby cooling cecil noble | 6,699 | 18.5 row 4 : alliance | oliver napier brian wilson eileen bell larry thompson jane copeland | 6,186 | 17.1 row 5 : sdlp | owen adams john burke | 1,798 | 5.0 row 6 : pup | victor ash samuel curry neil mehaffy kenneth sterrit | 1,694 | 4.7 row 7 : ulster democratic | james mccullough thomas lindsay | 651 | 1.8 row 8 : ni women's coalition | emma mcguigan ann marie foster jane morrice | 496 | 1.4 row 9 : conservative | ann thompson bruce mulligan | 444 | 1.2 row 10 : independent chambers | alan chambers james arbuthnot robert irvine | 334 | 0.9 row 11 : green (ni) | paddy mcevoy mary ringland | 283 | 0.8 row 12 : sinn fein | mairtin o mulleoir john smith | 275 | 0.8 row 13 : labour coalition | john magennis sean mcgouran | 171 | 0.5 row 14 : independent dup | thomas o'brien william baxter | 97 | 0.3 row 15 : democratic left | daryl armitage tim davis | 95 | 0.3 row 16 : workers' party | dessie o'hagan colum mullan | 60 | 0.2 row 17 : ulster independence | geoffrey watson glenn pollock | 49 | 0.1 row 18 : independent voice | christopher carter fidelma carter | 49 | 0.1 row 19 : natural law | peter mcgowan thomas mullins | 15 | 0.0
table_csv/203_354.csv
0
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 ] }
[ "what were the percentage of votes in the 1996 forum for each party?" ]
0
25.6, 20.9, 18.5, 17.1, 5.0, 4.7, 1.8, 1.4, 1.2, 0.9, 0.8, 0.8, 0.5, 0.3, 0.3, 0.2, 0.1, 0.1, 0.0
[ "Party", "Candidate(s)", "Votes", "Percentage" ]
what were the percentage of votes in the 1996 forum for each party?
[ [ "UUP", "Peter Weir Alan McFarland Roy Bradford John Shields", "9,270", "25.6" ], [ "UK Unionist", "Robert McCartney Valerie Kinghan Patricia Watson", "7,579", "20.9" ], [ "DUP", "St Clair McAlister Ruby Cooling Cecil Noble", "6,699", "18.5" ], [ "Alliance", "Oliver Napier Brian Wilson Eileen Bell Larry Thompson Jane Copeland", "6,186", "17.1" ], [ "SDLP", "Owen Adams John Burke", "1,798", "5.0" ], [ "PUP", "Victor Ash Samuel Curry Neil Mehaffy Kenneth Sterrit", "1,694", "4.7" ], [ "Ulster Democratic", "James McCullough Thomas Lindsay", "651", "1.8" ], [ "NI Women's Coalition", "Emma McGuigan Ann Marie Foster Jane Morrice", "496", "1.4" ], [ "Conservative", "Ann Thompson Bruce Mulligan", "444", "1.2" ], [ "Independent Chambers", "Alan Chambers James Arbuthnot Robert Irvine", "334", "0.9" ], [ "Green (NI)", "Paddy McEvoy Mary Ringland", "283", "0.8" ], [ "Sinn Fein", "Mairtin O Mulleoir John Smith", "275", "0.8" ], [ "Labour coalition", "John Magennis Sean McGouran", "171", "0.5" ], [ "Independent DUP", "Thomas O'Brien William Baxter", "97", "0.3" ], [ "Democratic Left", "Daryl Armitage Tim Davis", "95", "0.3" ], [ "Workers' Party", "Dessie O'Hagan Colum Mullan", "60", "0.2" ], [ "Ulster Independence", "Geoffrey Watson Glenn Pollock", "49", "0.1" ], [ "Independent Voice", "Christopher Carter Fidelma Carter", "49", "0.1" ], [ "Natural Law", "Peter McGowan Thomas Mullins", "15", "0.0" ] ]
[ "25.6", "20.9", "18.5", "17.1", "5.0", "4.7", "1.8", "1.4", "1.2", "0.9", "0.8", "0.8", "0.5", "0.3", "0.3", "0.2", "0.1", "0.1", "0.0" ]
what were the percentage of votes in the 1996 forum for each party? ||
nt-10077
col : party | candidate(s) | votes | percentage row 1 : uup | peter weir alan mcfarland roy bradford john shields | 9,270 | 25.6 row 2 : uk unionist | robert mccartney valerie kinghan patricia watson | 7,579 | 20.9 row 3 : dup | st clair mcalister ruby cooling cecil noble | 6,699 | 18.5 row 4 : alliance | oliver napier brian wilson eileen bell larry thompson jane copeland | 6,186 | 17.1 row 5 : sdlp | owen adams john burke | 1,798 | 5.0 row 6 : pup | victor ash samuel curry neil mehaffy kenneth sterrit | 1,694 | 4.7 row 7 : ulster democratic | james mccullough thomas lindsay | 651 | 1.8 row 8 : ni women's coalition | emma mcguigan ann marie foster jane morrice | 496 | 1.4 row 9 : conservative | ann thompson bruce mulligan | 444 | 1.2 row 10 : independent chambers | alan chambers james arbuthnot robert irvine | 334 | 0.9 row 11 : green (ni) | paddy mcevoy mary ringland | 283 | 0.8 row 12 : sinn fein | mairtin o mulleoir john smith | 275 | 0.8 row 13 : labour coalition | john magennis sean mcgouran | 171 | 0.5 row 14 : independent dup | thomas o'brien william baxter | 97 | 0.3 row 15 : democratic left | daryl armitage tim davis | 95 | 0.3 row 16 : workers' party | dessie o'hagan colum mullan | 60 | 0.2 row 17 : ulster independence | geoffrey watson glenn pollock | 49 | 0.1 row 18 : independent voice | christopher carter fidelma carter | 49 | 0.1 row 19 : natural law | peter mcgowan thomas mullins | 15 | 0.0
table_csv/203_354.csv
1
{ "column_index": [ 3 ], "row_index": [ 0 ] }
[ "what were the percentage of votes in the 1996 forum for each party?", "which of these was the highest percentage?" ]
0
25.6
[ "Party", "Candidate(s)", "Votes", "Percentage" ]
which of these was the highest percentage?
[ [ "UUP", "Peter Weir Alan McFarland Roy Bradford John Shields", "9,270", "25.6" ], [ "UK Unionist", "Robert McCartney Valerie Kinghan Patricia Watson", "7,579", "20.9" ], [ "DUP", "St Clair McAlister Ruby Cooling Cecil Noble", "6,699", "18.5" ], [ "Alliance", "Oliver Napier Brian Wilson Eileen Bell Larry Thompson Jane Copeland", "6,186", "17.1" ], [ "SDLP", "Owen Adams John Burke", "1,798", "5.0" ], [ "PUP", "Victor Ash Samuel Curry Neil Mehaffy Kenneth Sterrit", "1,694", "4.7" ], [ "Ulster Democratic", "James McCullough Thomas Lindsay", "651", "1.8" ], [ "NI Women's Coalition", "Emma McGuigan Ann Marie Foster Jane Morrice", "496", "1.4" ], [ "Conservative", "Ann Thompson Bruce Mulligan", "444", "1.2" ], [ "Independent Chambers", "Alan Chambers James Arbuthnot Robert Irvine", "334", "0.9" ], [ "Green (NI)", "Paddy McEvoy Mary Ringland", "283", "0.8" ], [ "Sinn Fein", "Mairtin O Mulleoir John Smith", "275", "0.8" ], [ "Labour coalition", "John Magennis Sean McGouran", "171", "0.5" ], [ "Independent DUP", "Thomas O'Brien William Baxter", "97", "0.3" ], [ "Democratic Left", "Daryl Armitage Tim Davis", "95", "0.3" ], [ "Workers' Party", "Dessie O'Hagan Colum Mullan", "60", "0.2" ], [ "Ulster Independence", "Geoffrey Watson Glenn Pollock", "49", "0.1" ], [ "Independent Voice", "Christopher Carter Fidelma Carter", "49", "0.1" ], [ "Natural Law", "Peter McGowan Thomas Mullins", "15", "0.0" ] ]
[ "25.6" ]
which of these was the highest percentage? || what were the percentage of votes in the 1996 forum for each party?
nt-10077
col : party | candidate(s) | votes | percentage row 1 : uup | peter weir alan mcfarland roy bradford john shields | 9,270 | 25.6 row 2 : uk unionist | robert mccartney valerie kinghan patricia watson | 7,579 | 20.9 row 3 : dup | st clair mcalister ruby cooling cecil noble | 6,699 | 18.5 row 4 : alliance | oliver napier brian wilson eileen bell larry thompson jane copeland | 6,186 | 17.1 row 5 : sdlp | owen adams john burke | 1,798 | 5.0 row 6 : pup | victor ash samuel curry neil mehaffy kenneth sterrit | 1,694 | 4.7 row 7 : ulster democratic | james mccullough thomas lindsay | 651 | 1.8 row 8 : ni women's coalition | emma mcguigan ann marie foster jane morrice | 496 | 1.4 row 9 : conservative | ann thompson bruce mulligan | 444 | 1.2 row 10 : independent chambers | alan chambers james arbuthnot robert irvine | 334 | 0.9 row 11 : green (ni) | paddy mcevoy mary ringland | 283 | 0.8 row 12 : sinn fein | mairtin o mulleoir john smith | 275 | 0.8 row 13 : labour coalition | john magennis sean mcgouran | 171 | 0.5 row 14 : independent dup | thomas o'brien william baxter | 97 | 0.3 row 15 : democratic left | daryl armitage tim davis | 95 | 0.3 row 16 : workers' party | dessie o'hagan colum mullan | 60 | 0.2 row 17 : ulster independence | geoffrey watson glenn pollock | 49 | 0.1 row 18 : independent voice | christopher carter fidelma carter | 49 | 0.1 row 19 : natural law | peter mcgowan thomas mullins | 15 | 0.0
table_csv/203_354.csv
2
{ "column_index": [ 0 ], "row_index": [ 0 ] }
[ "what were the percentage of votes in the 1996 forum for each party?", "which of these was the highest percentage?", "which party did this belong to?" ]
0
uup
[ "Party", "Candidate(s)", "Votes", "Percentage" ]
which party did this belong to?
[ [ "UUP", "Peter Weir Alan McFarland Roy Bradford John Shields", "9,270", "25.6" ], [ "UK Unionist", "Robert McCartney Valerie Kinghan Patricia Watson", "7,579", "20.9" ], [ "DUP", "St Clair McAlister Ruby Cooling Cecil Noble", "6,699", "18.5" ], [ "Alliance", "Oliver Napier Brian Wilson Eileen Bell Larry Thompson Jane Copeland", "6,186", "17.1" ], [ "SDLP", "Owen Adams John Burke", "1,798", "5.0" ], [ "PUP", "Victor Ash Samuel Curry Neil Mehaffy Kenneth Sterrit", "1,694", "4.7" ], [ "Ulster Democratic", "James McCullough Thomas Lindsay", "651", "1.8" ], [ "NI Women's Coalition", "Emma McGuigan Ann Marie Foster Jane Morrice", "496", "1.4" ], [ "Conservative", "Ann Thompson Bruce Mulligan", "444", "1.2" ], [ "Independent Chambers", "Alan Chambers James Arbuthnot Robert Irvine", "334", "0.9" ], [ "Green (NI)", "Paddy McEvoy Mary Ringland", "283", "0.8" ], [ "Sinn Fein", "Mairtin O Mulleoir John Smith", "275", "0.8" ], [ "Labour coalition", "John Magennis Sean McGouran", "171", "0.5" ], [ "Independent DUP", "Thomas O'Brien William Baxter", "97", "0.3" ], [ "Democratic Left", "Daryl Armitage Tim Davis", "95", "0.3" ], [ "Workers' Party", "Dessie O'Hagan Colum Mullan", "60", "0.2" ], [ "Ulster Independence", "Geoffrey Watson Glenn Pollock", "49", "0.1" ], [ "Independent Voice", "Christopher Carter Fidelma Carter", "49", "0.1" ], [ "Natural Law", "Peter McGowan Thomas Mullins", "15", "0.0" ] ]
[ "UUP" ]
which party did this belong to? || which of these was the highest percentage? | what were the percentage of votes in the 1996 forum for each party?
nt-10077
col : party | candidate(s) | votes | percentage row 1 : uup | peter weir alan mcfarland roy bradford john shields | 9,270 | 25.6 row 2 : uk unionist | robert mccartney valerie kinghan patricia watson | 7,579 | 20.9 row 3 : dup | st clair mcalister ruby cooling cecil noble | 6,699 | 18.5 row 4 : alliance | oliver napier brian wilson eileen bell larry thompson jane copeland | 6,186 | 17.1 row 5 : sdlp | owen adams john burke | 1,798 | 5.0 row 6 : pup | victor ash samuel curry neil mehaffy kenneth sterrit | 1,694 | 4.7 row 7 : ulster democratic | james mccullough thomas lindsay | 651 | 1.8 row 8 : ni women's coalition | emma mcguigan ann marie foster jane morrice | 496 | 1.4 row 9 : conservative | ann thompson bruce mulligan | 444 | 1.2 row 10 : independent chambers | alan chambers james arbuthnot robert irvine | 334 | 0.9 row 11 : green (ni) | paddy mcevoy mary ringland | 283 | 0.8 row 12 : sinn fein | mairtin o mulleoir john smith | 275 | 0.8 row 13 : labour coalition | john magennis sean mcgouran | 171 | 0.5 row 14 : independent dup | thomas o'brien william baxter | 97 | 0.3 row 15 : democratic left | daryl armitage tim davis | 95 | 0.3 row 16 : workers' party | dessie o'hagan colum mullan | 60 | 0.2 row 17 : ulster independence | geoffrey watson glenn pollock | 49 | 0.1 row 18 : independent voice | christopher carter fidelma carter | 49 | 0.1 row 19 : natural law | peter mcgowan thomas mullins | 15 | 0.0
table_csv/203_354.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 ] }
[ "what parties are listed?" ]
1
uup, uk unionist, dup, alliance, sdlp, pup, ulster democratic, ni women's coalition, conservative, independent chambers, green (ni), sinn fein, labour coalition, independent dup, democratic left, workers' party, ulster independence, independent voice, natural law
[ "Party", "Candidate(s)", "Votes", "Percentage" ]
what parties are listed?
[ [ "UUP", "Peter Weir Alan McFarland Roy Bradford John Shields", "9,270", "25.6" ], [ "UK Unionist", "Robert McCartney Valerie Kinghan Patricia Watson", "7,579", "20.9" ], [ "DUP", "St Clair McAlister Ruby Cooling Cecil Noble", "6,699", "18.5" ], [ "Alliance", "Oliver Napier Brian Wilson Eileen Bell Larry Thompson Jane Copeland", "6,186", "17.1" ], [ "SDLP", "Owen Adams John Burke", "1,798", "5.0" ], [ "PUP", "Victor Ash Samuel Curry Neil Mehaffy Kenneth Sterrit", "1,694", "4.7" ], [ "Ulster Democratic", "James McCullough Thomas Lindsay", "651", "1.8" ], [ "NI Women's Coalition", "Emma McGuigan Ann Marie Foster Jane Morrice", "496", "1.4" ], [ "Conservative", "Ann Thompson Bruce Mulligan", "444", "1.2" ], [ "Independent Chambers", "Alan Chambers James Arbuthnot Robert Irvine", "334", "0.9" ], [ "Green (NI)", "Paddy McEvoy Mary Ringland", "283", "0.8" ], [ "Sinn Fein", "Mairtin O Mulleoir John Smith", "275", "0.8" ], [ "Labour coalition", "John Magennis Sean McGouran", "171", "0.5" ], [ "Independent DUP", "Thomas O'Brien William Baxter", "97", "0.3" ], [ "Democratic Left", "Daryl Armitage Tim Davis", "95", "0.3" ], [ "Workers' Party", "Dessie O'Hagan Colum Mullan", "60", "0.2" ], [ "Ulster Independence", "Geoffrey Watson Glenn Pollock", "49", "0.1" ], [ "Independent Voice", "Christopher Carter Fidelma Carter", "49", "0.1" ], [ "Natural Law", "Peter McGowan Thomas Mullins", "15", "0.0" ] ]
[ "UUP", "UK Unionist", "DUP", "Alliance", "SDLP", "PUP", "Ulster Democratic", "NI Women's Coalition", "Conservative", "Independent Chambers", "Green (NI)", "Sinn Fein", "Labour coalition", "Independent DUP", "Democratic Left", "Workers' Party", "Ulster Independence", "Independent Voice", "Natural Law" ]
what parties are listed? ||
nt-10077
col : party | candidate(s) | votes | percentage row 1 : uup | peter weir alan mcfarland roy bradford john shields | 9,270 | 25.6 row 2 : uk unionist | robert mccartney valerie kinghan patricia watson | 7,579 | 20.9 row 3 : dup | st clair mcalister ruby cooling cecil noble | 6,699 | 18.5 row 4 : alliance | oliver napier brian wilson eileen bell larry thompson jane copeland | 6,186 | 17.1 row 5 : sdlp | owen adams john burke | 1,798 | 5.0 row 6 : pup | victor ash samuel curry neil mehaffy kenneth sterrit | 1,694 | 4.7 row 7 : ulster democratic | james mccullough thomas lindsay | 651 | 1.8 row 8 : ni women's coalition | emma mcguigan ann marie foster jane morrice | 496 | 1.4 row 9 : conservative | ann thompson bruce mulligan | 444 | 1.2 row 10 : independent chambers | alan chambers james arbuthnot robert irvine | 334 | 0.9 row 11 : green (ni) | paddy mcevoy mary ringland | 283 | 0.8 row 12 : sinn fein | mairtin o mulleoir john smith | 275 | 0.8 row 13 : labour coalition | john magennis sean mcgouran | 171 | 0.5 row 14 : independent dup | thomas o'brien william baxter | 97 | 0.3 row 15 : democratic left | daryl armitage tim davis | 95 | 0.3 row 16 : workers' party | dessie o'hagan colum mullan | 60 | 0.2 row 17 : ulster independence | geoffrey watson glenn pollock | 49 | 0.1 row 18 : independent voice | christopher carter fidelma carter | 49 | 0.1 row 19 : natural law | peter mcgowan thomas mullins | 15 | 0.0
table_csv/203_354.csv
1
{ "column_index": [ 0 ], "row_index": [ 0 ] }
[ "what parties are listed?", "of those which has the largest percentage of votes?" ]
1
uup
[ "Party", "Candidate(s)", "Votes", "Percentage" ]
of those which has the largest percentage of votes?
[ [ "UUP", "Peter Weir Alan McFarland Roy Bradford John Shields", "9,270", "25.6" ], [ "UK Unionist", "Robert McCartney Valerie Kinghan Patricia Watson", "7,579", "20.9" ], [ "DUP", "St Clair McAlister Ruby Cooling Cecil Noble", "6,699", "18.5" ], [ "Alliance", "Oliver Napier Brian Wilson Eileen Bell Larry Thompson Jane Copeland", "6,186", "17.1" ], [ "SDLP", "Owen Adams John Burke", "1,798", "5.0" ], [ "PUP", "Victor Ash Samuel Curry Neil Mehaffy Kenneth Sterrit", "1,694", "4.7" ], [ "Ulster Democratic", "James McCullough Thomas Lindsay", "651", "1.8" ], [ "NI Women's Coalition", "Emma McGuigan Ann Marie Foster Jane Morrice", "496", "1.4" ], [ "Conservative", "Ann Thompson Bruce Mulligan", "444", "1.2" ], [ "Independent Chambers", "Alan Chambers James Arbuthnot Robert Irvine", "334", "0.9" ], [ "Green (NI)", "Paddy McEvoy Mary Ringland", "283", "0.8" ], [ "Sinn Fein", "Mairtin O Mulleoir John Smith", "275", "0.8" ], [ "Labour coalition", "John Magennis Sean McGouran", "171", "0.5" ], [ "Independent DUP", "Thomas O'Brien William Baxter", "97", "0.3" ], [ "Democratic Left", "Daryl Armitage Tim Davis", "95", "0.3" ], [ "Workers' Party", "Dessie O'Hagan Colum Mullan", "60", "0.2" ], [ "Ulster Independence", "Geoffrey Watson Glenn Pollock", "49", "0.1" ], [ "Independent Voice", "Christopher Carter Fidelma Carter", "49", "0.1" ], [ "Natural Law", "Peter McGowan Thomas Mullins", "15", "0.0" ] ]
[ "UUP" ]
of those which has the largest percentage of votes? || what parties are listed?
nt-10077
col : party | candidate(s) | votes | percentage row 1 : uup | peter weir alan mcfarland roy bradford john shields | 9,270 | 25.6 row 2 : uk unionist | robert mccartney valerie kinghan patricia watson | 7,579 | 20.9 row 3 : dup | st clair mcalister ruby cooling cecil noble | 6,699 | 18.5 row 4 : alliance | oliver napier brian wilson eileen bell larry thompson jane copeland | 6,186 | 17.1 row 5 : sdlp | owen adams john burke | 1,798 | 5.0 row 6 : pup | victor ash samuel curry neil mehaffy kenneth sterrit | 1,694 | 4.7 row 7 : ulster democratic | james mccullough thomas lindsay | 651 | 1.8 row 8 : ni women's coalition | emma mcguigan ann marie foster jane morrice | 496 | 1.4 row 9 : conservative | ann thompson bruce mulligan | 444 | 1.2 row 10 : independent chambers | alan chambers james arbuthnot robert irvine | 334 | 0.9 row 11 : green (ni) | paddy mcevoy mary ringland | 283 | 0.8 row 12 : sinn fein | mairtin o mulleoir john smith | 275 | 0.8 row 13 : labour coalition | john magennis sean mcgouran | 171 | 0.5 row 14 : independent dup | thomas o'brien william baxter | 97 | 0.3 row 15 : democratic left | daryl armitage tim davis | 95 | 0.3 row 16 : workers' party | dessie o'hagan colum mullan | 60 | 0.2 row 17 : ulster independence | geoffrey watson glenn pollock | 49 | 0.1 row 18 : independent voice | christopher carter fidelma carter | 49 | 0.1 row 19 : natural law | peter mcgowan thomas mullins | 15 | 0.0
table_csv/203_354.csv
0
{ "column_index": [ 3 ], "row_index": [ 0 ] }
[ "what was the largest percentage of votes secured by a single party?" ]
2
25.6
[ "Party", "Candidate(s)", "Votes", "Percentage" ]
what was the largest percentage of votes secured by a single party?
[ [ "UUP", "Peter Weir Alan McFarland Roy Bradford John Shields", "9,270", "25.6" ], [ "UK Unionist", "Robert McCartney Valerie Kinghan Patricia Watson", "7,579", "20.9" ], [ "DUP", "St Clair McAlister Ruby Cooling Cecil Noble", "6,699", "18.5" ], [ "Alliance", "Oliver Napier Brian Wilson Eileen Bell Larry Thompson Jane Copeland", "6,186", "17.1" ], [ "SDLP", "Owen Adams John Burke", "1,798", "5.0" ], [ "PUP", "Victor Ash Samuel Curry Neil Mehaffy Kenneth Sterrit", "1,694", "4.7" ], [ "Ulster Democratic", "James McCullough Thomas Lindsay", "651", "1.8" ], [ "NI Women's Coalition", "Emma McGuigan Ann Marie Foster Jane Morrice", "496", "1.4" ], [ "Conservative", "Ann Thompson Bruce Mulligan", "444", "1.2" ], [ "Independent Chambers", "Alan Chambers James Arbuthnot Robert Irvine", "334", "0.9" ], [ "Green (NI)", "Paddy McEvoy Mary Ringland", "283", "0.8" ], [ "Sinn Fein", "Mairtin O Mulleoir John Smith", "275", "0.8" ], [ "Labour coalition", "John Magennis Sean McGouran", "171", "0.5" ], [ "Independent DUP", "Thomas O'Brien William Baxter", "97", "0.3" ], [ "Democratic Left", "Daryl Armitage Tim Davis", "95", "0.3" ], [ "Workers' Party", "Dessie O'Hagan Colum Mullan", "60", "0.2" ], [ "Ulster Independence", "Geoffrey Watson Glenn Pollock", "49", "0.1" ], [ "Independent Voice", "Christopher Carter Fidelma Carter", "49", "0.1" ], [ "Natural Law", "Peter McGowan Thomas Mullins", "15", "0.0" ] ]
[ "25.6" ]
what was the largest percentage of votes secured by a single party? ||
nt-10077
col : party | candidate(s) | votes | percentage row 1 : uup | peter weir alan mcfarland roy bradford john shields | 9,270 | 25.6 row 2 : uk unionist | robert mccartney valerie kinghan patricia watson | 7,579 | 20.9 row 3 : dup | st clair mcalister ruby cooling cecil noble | 6,699 | 18.5 row 4 : alliance | oliver napier brian wilson eileen bell larry thompson jane copeland | 6,186 | 17.1 row 5 : sdlp | owen adams john burke | 1,798 | 5.0 row 6 : pup | victor ash samuel curry neil mehaffy kenneth sterrit | 1,694 | 4.7 row 7 : ulster democratic | james mccullough thomas lindsay | 651 | 1.8 row 8 : ni women's coalition | emma mcguigan ann marie foster jane morrice | 496 | 1.4 row 9 : conservative | ann thompson bruce mulligan | 444 | 1.2 row 10 : independent chambers | alan chambers james arbuthnot robert irvine | 334 | 0.9 row 11 : green (ni) | paddy mcevoy mary ringland | 283 | 0.8 row 12 : sinn fein | mairtin o mulleoir john smith | 275 | 0.8 row 13 : labour coalition | john magennis sean mcgouran | 171 | 0.5 row 14 : independent dup | thomas o'brien william baxter | 97 | 0.3 row 15 : democratic left | daryl armitage tim davis | 95 | 0.3 row 16 : workers' party | dessie o'hagan colum mullan | 60 | 0.2 row 17 : ulster independence | geoffrey watson glenn pollock | 49 | 0.1 row 18 : independent voice | christopher carter fidelma carter | 49 | 0.1 row 19 : natural law | peter mcgowan thomas mullins | 15 | 0.0
table_csv/203_354.csv
1
{ "column_index": [ 0 ], "row_index": [ 0 ] }
[ "what was the largest percentage of votes secured by a single party?", "which party had 25.6 percent of the votes?" ]
2
uup
[ "Party", "Candidate(s)", "Votes", "Percentage" ]
which party had 25.6 percent of the votes?
[ [ "UUP", "Peter Weir Alan McFarland Roy Bradford John Shields", "9,270", "25.6" ], [ "UK Unionist", "Robert McCartney Valerie Kinghan Patricia Watson", "7,579", "20.9" ], [ "DUP", "St Clair McAlister Ruby Cooling Cecil Noble", "6,699", "18.5" ], [ "Alliance", "Oliver Napier Brian Wilson Eileen Bell Larry Thompson Jane Copeland", "6,186", "17.1" ], [ "SDLP", "Owen Adams John Burke", "1,798", "5.0" ], [ "PUP", "Victor Ash Samuel Curry Neil Mehaffy Kenneth Sterrit", "1,694", "4.7" ], [ "Ulster Democratic", "James McCullough Thomas Lindsay", "651", "1.8" ], [ "NI Women's Coalition", "Emma McGuigan Ann Marie Foster Jane Morrice", "496", "1.4" ], [ "Conservative", "Ann Thompson Bruce Mulligan", "444", "1.2" ], [ "Independent Chambers", "Alan Chambers James Arbuthnot Robert Irvine", "334", "0.9" ], [ "Green (NI)", "Paddy McEvoy Mary Ringland", "283", "0.8" ], [ "Sinn Fein", "Mairtin O Mulleoir John Smith", "275", "0.8" ], [ "Labour coalition", "John Magennis Sean McGouran", "171", "0.5" ], [ "Independent DUP", "Thomas O'Brien William Baxter", "97", "0.3" ], [ "Democratic Left", "Daryl Armitage Tim Davis", "95", "0.3" ], [ "Workers' Party", "Dessie O'Hagan Colum Mullan", "60", "0.2" ], [ "Ulster Independence", "Geoffrey Watson Glenn Pollock", "49", "0.1" ], [ "Independent Voice", "Christopher Carter Fidelma Carter", "49", "0.1" ], [ "Natural Law", "Peter McGowan Thomas Mullins", "15", "0.0" ] ]
[ "UUP" ]
which party had 25.6 percent of the votes? || what was the largest percentage of votes secured by a single party?
nt-594
col : ages attained (years) | catholic | protestant and other christian | other religion | none or not stated row 1 : 0 to 4 | 44.3% | 31.7% | 0.9% | 23.2% row 2 : 5 to 9 | 45.5% | 36.1% | 0.7% | 17.7% row 3 : 10 to 14 | 45.9% | 37.9% | 0.6% | 15.6% row 4 : 15 to 19 | 44.8% | 37.6% | 0.6% | 17.0% row 5 : 20 to 24 | 43.4% | 35.2% | 0.7% | 20.7% row 6 : 25 to 29 | 44.8% | 33.1% | 1.1% | 21.0% row 7 : 30 to 34 | 44.0% | 34.3% | 1.4% | 20.3% row 8 : 35 to 39 | 41.5% | 37.8% | 1.2% | 19.5% row 9 : 40 to 44 | 40.4% | 41.1% | 0.9% | 17.7% row 10 : 45 to 49 | 40.0% | 42.8% | 0.8% | 16.3% row 11 : 50 to 54 | 39.2% | 44.9% | 0.7% | 15.1% row 12 : 55 to 59 | 38.1% | 46.5% | 0.8% | 14.6% row 13 : 60 to 64 | 35.8% | 50.0% | 0.7% | 13.4% row 14 : 65 to 69 | 33.7% | 54.4% | 0.7% | 11.2% row 15 : 70 to 74 | 32.9% | 56.4% | 0.7% | 10.1% row 16 : 75 to 79 | 32.0% | 58.1% | 0.6% | 9.3% row 17 : 80 to 84 | 30.0% | 60.0% | 0.6% | 9.3% row 18 : 85 to 89 | 28.1% | 61.8% | 0.5% | 9.6% row 19 : 90 and over | 25.8% | 64.0% | 0.5% | 9.6%
table_csv/203_770.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 ] }
[ "what are all of the age ranges listed for the religion in northern ireland?" ]
0
0 to 4, 5 to 9, 10 to 14, 15 to 19, 20 to 24, 25 to 29, 30 to 34, 35 to 39, 40 to 44, 45 to 49, 50 to 54, 55 to 59, 60 to 64, 65 to 69, 70 to 74, 75 to 79, 80 to 84, 85 to 89, 90 and over
[ "Ages attained (years)", "Catholic", "Protestant and other Christian", "Other Religion", "None or not stated" ]
what are all of the age ranges listed for the religion in northern ireland?
[ [ "0 to 4", "44.3%", "31.7%", "0.9%", "23.2%" ], [ "5 to 9", "45.5%", "36.1%", "0.7%", "17.7%" ], [ "10 to 14", "45.9%", "37.9%", "0.6%", "15.6%" ], [ "15 to 19", "44.8%", "37.6%", "0.6%", "17.0%" ], [ "20 to 24", "43.4%", "35.2%", "0.7%", "20.7%" ], [ "25 to 29", "44.8%", "33.1%", "1.1%", "21.0%" ], [ "30 to 34", "44.0%", "34.3%", "1.4%", "20.3%" ], [ "35 to 39", "41.5%", "37.8%", "1.2%", "19.5%" ], [ "40 to 44", "40.4%", "41.1%", "0.9%", "17.7%" ], [ "45 to 49", "40.0%", "42.8%", "0.8%", "16.3%" ], [ "50 to 54", "39.2%", "44.9%", "0.7%", "15.1%" ], [ "55 to 59", "38.1%", "46.5%", "0.8%", "14.6%" ], [ "60 to 64", "35.8%", "50.0%", "0.7%", "13.4%" ], [ "65 to 69", "33.7%", "54.4%", "0.7%", "11.2%" ], [ "70 to 74", "32.9%", "56.4%", "0.7%", "10.1%" ], [ "75 to 79", "32.0%", "58.1%", "0.6%", "9.3%" ], [ "80 to 84", "30.0%", "60.0%", "0.6%", "9.3%" ], [ "85 to 89", "28.1%", "61.8%", "0.5%", "9.6%" ], [ "90 and over", "25.8%", "64.0%", "0.5%", "9.6%" ] ]
[ "0 to 4", "5 to 9", "10 to 14", "15 to 19", "20 to 24", "25 to 29", "30 to 34", "35 to 39", "40 to 44", "45 to 49", "50 to 54", "55 to 59", "60 to 64", "65 to 69", "70 to 74", "75 to 79", "80 to 84", "85 to 89", "90 and over" ]
what are all of the age ranges listed for the religion in northern ireland? ||
nt-594
col : ages attained (years) | catholic | protestant and other christian | other religion | none or not stated row 1 : 0 to 4 | 44.3% | 31.7% | 0.9% | 23.2% row 2 : 5 to 9 | 45.5% | 36.1% | 0.7% | 17.7% row 3 : 10 to 14 | 45.9% | 37.9% | 0.6% | 15.6% row 4 : 15 to 19 | 44.8% | 37.6% | 0.6% | 17.0% row 5 : 20 to 24 | 43.4% | 35.2% | 0.7% | 20.7% row 6 : 25 to 29 | 44.8% | 33.1% | 1.1% | 21.0% row 7 : 30 to 34 | 44.0% | 34.3% | 1.4% | 20.3% row 8 : 35 to 39 | 41.5% | 37.8% | 1.2% | 19.5% row 9 : 40 to 44 | 40.4% | 41.1% | 0.9% | 17.7% row 10 : 45 to 49 | 40.0% | 42.8% | 0.8% | 16.3% row 11 : 50 to 54 | 39.2% | 44.9% | 0.7% | 15.1% row 12 : 55 to 59 | 38.1% | 46.5% | 0.8% | 14.6% row 13 : 60 to 64 | 35.8% | 50.0% | 0.7% | 13.4% row 14 : 65 to 69 | 33.7% | 54.4% | 0.7% | 11.2% row 15 : 70 to 74 | 32.9% | 56.4% | 0.7% | 10.1% row 16 : 75 to 79 | 32.0% | 58.1% | 0.6% | 9.3% row 17 : 80 to 84 | 30.0% | 60.0% | 0.6% | 9.3% row 18 : 85 to 89 | 28.1% | 61.8% | 0.5% | 9.6% row 19 : 90 and over | 25.8% | 64.0% | 0.5% | 9.6%
table_csv/203_770.csv
1
{ "column_index": [ 0 ], "row_index": [ 6 ] }
[ "what are all of the age ranges listed for the religion in northern ireland?", "which has the largest percentage for other religion?" ]
0
30 to 34
[ "Ages attained (years)", "Catholic", "Protestant and other Christian", "Other Religion", "None or not stated" ]
which has the largest percentage for other religion?
[ [ "0 to 4", "44.3%", "31.7%", "0.9%", "23.2%" ], [ "5 to 9", "45.5%", "36.1%", "0.7%", "17.7%" ], [ "10 to 14", "45.9%", "37.9%", "0.6%", "15.6%" ], [ "15 to 19", "44.8%", "37.6%", "0.6%", "17.0%" ], [ "20 to 24", "43.4%", "35.2%", "0.7%", "20.7%" ], [ "25 to 29", "44.8%", "33.1%", "1.1%", "21.0%" ], [ "30 to 34", "44.0%", "34.3%", "1.4%", "20.3%" ], [ "35 to 39", "41.5%", "37.8%", "1.2%", "19.5%" ], [ "40 to 44", "40.4%", "41.1%", "0.9%", "17.7%" ], [ "45 to 49", "40.0%", "42.8%", "0.8%", "16.3%" ], [ "50 to 54", "39.2%", "44.9%", "0.7%", "15.1%" ], [ "55 to 59", "38.1%", "46.5%", "0.8%", "14.6%" ], [ "60 to 64", "35.8%", "50.0%", "0.7%", "13.4%" ], [ "65 to 69", "33.7%", "54.4%", "0.7%", "11.2%" ], [ "70 to 74", "32.9%", "56.4%", "0.7%", "10.1%" ], [ "75 to 79", "32.0%", "58.1%", "0.6%", "9.3%" ], [ "80 to 84", "30.0%", "60.0%", "0.6%", "9.3%" ], [ "85 to 89", "28.1%", "61.8%", "0.5%", "9.6%" ], [ "90 and over", "25.8%", "64.0%", "0.5%", "9.6%" ] ]
[ "30 to 34" ]
which has the largest percentage for other religion? || what are all of the age ranges listed for the religion in northern ireland?
nt-594
col : ages attained (years) | catholic | protestant and other christian | other religion | none or not stated row 1 : 0 to 4 | 44.3% | 31.7% | 0.9% | 23.2% row 2 : 5 to 9 | 45.5% | 36.1% | 0.7% | 17.7% row 3 : 10 to 14 | 45.9% | 37.9% | 0.6% | 15.6% row 4 : 15 to 19 | 44.8% | 37.6% | 0.6% | 17.0% row 5 : 20 to 24 | 43.4% | 35.2% | 0.7% | 20.7% row 6 : 25 to 29 | 44.8% | 33.1% | 1.1% | 21.0% row 7 : 30 to 34 | 44.0% | 34.3% | 1.4% | 20.3% row 8 : 35 to 39 | 41.5% | 37.8% | 1.2% | 19.5% row 9 : 40 to 44 | 40.4% | 41.1% | 0.9% | 17.7% row 10 : 45 to 49 | 40.0% | 42.8% | 0.8% | 16.3% row 11 : 50 to 54 | 39.2% | 44.9% | 0.7% | 15.1% row 12 : 55 to 59 | 38.1% | 46.5% | 0.8% | 14.6% row 13 : 60 to 64 | 35.8% | 50.0% | 0.7% | 13.4% row 14 : 65 to 69 | 33.7% | 54.4% | 0.7% | 11.2% row 15 : 70 to 74 | 32.9% | 56.4% | 0.7% | 10.1% row 16 : 75 to 79 | 32.0% | 58.1% | 0.6% | 9.3% row 17 : 80 to 84 | 30.0% | 60.0% | 0.6% | 9.3% row 18 : 85 to 89 | 28.1% | 61.8% | 0.5% | 9.6% row 19 : 90 and over | 25.8% | 64.0% | 0.5% | 9.6%
table_csv/203_770.csv
0
{ "column_index": [ 0, 0, 0, 0 ], "row_index": [ 0, 4, 5, 6 ] }
[ "what ages attained groups in northern ireland ranks higher then 20% none or not stated?" ]
1
0 to 4, 20 to 24, 25 to 29, 30 to 34
[ "Ages attained (years)", "Catholic", "Protestant and other Christian", "Other Religion", "None or not stated" ]
what ages attained groups in northern ireland ranks higher then 20% none or not stated?
[ [ "0 to 4", "44.3%", "31.7%", "0.9%", "23.2%" ], [ "5 to 9", "45.5%", "36.1%", "0.7%", "17.7%" ], [ "10 to 14", "45.9%", "37.9%", "0.6%", "15.6%" ], [ "15 to 19", "44.8%", "37.6%", "0.6%", "17.0%" ], [ "20 to 24", "43.4%", "35.2%", "0.7%", "20.7%" ], [ "25 to 29", "44.8%", "33.1%", "1.1%", "21.0%" ], [ "30 to 34", "44.0%", "34.3%", "1.4%", "20.3%" ], [ "35 to 39", "41.5%", "37.8%", "1.2%", "19.5%" ], [ "40 to 44", "40.4%", "41.1%", "0.9%", "17.7%" ], [ "45 to 49", "40.0%", "42.8%", "0.8%", "16.3%" ], [ "50 to 54", "39.2%", "44.9%", "0.7%", "15.1%" ], [ "55 to 59", "38.1%", "46.5%", "0.8%", "14.6%" ], [ "60 to 64", "35.8%", "50.0%", "0.7%", "13.4%" ], [ "65 to 69", "33.7%", "54.4%", "0.7%", "11.2%" ], [ "70 to 74", "32.9%", "56.4%", "0.7%", "10.1%" ], [ "75 to 79", "32.0%", "58.1%", "0.6%", "9.3%" ], [ "80 to 84", "30.0%", "60.0%", "0.6%", "9.3%" ], [ "85 to 89", "28.1%", "61.8%", "0.5%", "9.6%" ], [ "90 and over", "25.8%", "64.0%", "0.5%", "9.6%" ] ]
[ "0 to 4", "20 to 24", "25 to 29", "30 to 34" ]
what ages attained groups in northern ireland ranks higher then 20% none or not stated? ||
nt-594
col : ages attained (years) | catholic | protestant and other christian | other religion | none or not stated row 1 : 0 to 4 | 44.3% | 31.7% | 0.9% | 23.2% row 2 : 5 to 9 | 45.5% | 36.1% | 0.7% | 17.7% row 3 : 10 to 14 | 45.9% | 37.9% | 0.6% | 15.6% row 4 : 15 to 19 | 44.8% | 37.6% | 0.6% | 17.0% row 5 : 20 to 24 | 43.4% | 35.2% | 0.7% | 20.7% row 6 : 25 to 29 | 44.8% | 33.1% | 1.1% | 21.0% row 7 : 30 to 34 | 44.0% | 34.3% | 1.4% | 20.3% row 8 : 35 to 39 | 41.5% | 37.8% | 1.2% | 19.5% row 9 : 40 to 44 | 40.4% | 41.1% | 0.9% | 17.7% row 10 : 45 to 49 | 40.0% | 42.8% | 0.8% | 16.3% row 11 : 50 to 54 | 39.2% | 44.9% | 0.7% | 15.1% row 12 : 55 to 59 | 38.1% | 46.5% | 0.8% | 14.6% row 13 : 60 to 64 | 35.8% | 50.0% | 0.7% | 13.4% row 14 : 65 to 69 | 33.7% | 54.4% | 0.7% | 11.2% row 15 : 70 to 74 | 32.9% | 56.4% | 0.7% | 10.1% row 16 : 75 to 79 | 32.0% | 58.1% | 0.6% | 9.3% row 17 : 80 to 84 | 30.0% | 60.0% | 0.6% | 9.3% row 18 : 85 to 89 | 28.1% | 61.8% | 0.5% | 9.6% row 19 : 90 and over | 25.8% | 64.0% | 0.5% | 9.6%
table_csv/203_770.csv
1
{ "column_index": [ 0, 0 ], "row_index": [ 5, 6 ] }
[ "what ages attained groups in northern ireland ranks higher then 20% none or not stated?", "which of the ages in attendance groups that stated none or not stated which ones have an other religion of 1% or more?" ]
1
25 to 29, 30 to 34
[ "Ages attained (years)", "Catholic", "Protestant and other Christian", "Other Religion", "None or not stated" ]
which of the ages in attendance groups that stated none or not stated which ones have an other religion of 1% or more?
[ [ "0 to 4", "44.3%", "31.7%", "0.9%", "23.2%" ], [ "5 to 9", "45.5%", "36.1%", "0.7%", "17.7%" ], [ "10 to 14", "45.9%", "37.9%", "0.6%", "15.6%" ], [ "15 to 19", "44.8%", "37.6%", "0.6%", "17.0%" ], [ "20 to 24", "43.4%", "35.2%", "0.7%", "20.7%" ], [ "25 to 29", "44.8%", "33.1%", "1.1%", "21.0%" ], [ "30 to 34", "44.0%", "34.3%", "1.4%", "20.3%" ], [ "35 to 39", "41.5%", "37.8%", "1.2%", "19.5%" ], [ "40 to 44", "40.4%", "41.1%", "0.9%", "17.7%" ], [ "45 to 49", "40.0%", "42.8%", "0.8%", "16.3%" ], [ "50 to 54", "39.2%", "44.9%", "0.7%", "15.1%" ], [ "55 to 59", "38.1%", "46.5%", "0.8%", "14.6%" ], [ "60 to 64", "35.8%", "50.0%", "0.7%", "13.4%" ], [ "65 to 69", "33.7%", "54.4%", "0.7%", "11.2%" ], [ "70 to 74", "32.9%", "56.4%", "0.7%", "10.1%" ], [ "75 to 79", "32.0%", "58.1%", "0.6%", "9.3%" ], [ "80 to 84", "30.0%", "60.0%", "0.6%", "9.3%" ], [ "85 to 89", "28.1%", "61.8%", "0.5%", "9.6%" ], [ "90 and over", "25.8%", "64.0%", "0.5%", "9.6%" ] ]
[ "25 to 29", "30 to 34" ]
which of the ages in attendance groups that stated none or not stated which ones have an other religion of 1% or more? || what ages attained groups in northern ireland ranks higher then 20% none or not stated?
nt-594
col : ages attained (years) | catholic | protestant and other christian | other religion | none or not stated row 1 : 0 to 4 | 44.3% | 31.7% | 0.9% | 23.2% row 2 : 5 to 9 | 45.5% | 36.1% | 0.7% | 17.7% row 3 : 10 to 14 | 45.9% | 37.9% | 0.6% | 15.6% row 4 : 15 to 19 | 44.8% | 37.6% | 0.6% | 17.0% row 5 : 20 to 24 | 43.4% | 35.2% | 0.7% | 20.7% row 6 : 25 to 29 | 44.8% | 33.1% | 1.1% | 21.0% row 7 : 30 to 34 | 44.0% | 34.3% | 1.4% | 20.3% row 8 : 35 to 39 | 41.5% | 37.8% | 1.2% | 19.5% row 9 : 40 to 44 | 40.4% | 41.1% | 0.9% | 17.7% row 10 : 45 to 49 | 40.0% | 42.8% | 0.8% | 16.3% row 11 : 50 to 54 | 39.2% | 44.9% | 0.7% | 15.1% row 12 : 55 to 59 | 38.1% | 46.5% | 0.8% | 14.6% row 13 : 60 to 64 | 35.8% | 50.0% | 0.7% | 13.4% row 14 : 65 to 69 | 33.7% | 54.4% | 0.7% | 11.2% row 15 : 70 to 74 | 32.9% | 56.4% | 0.7% | 10.1% row 16 : 75 to 79 | 32.0% | 58.1% | 0.6% | 9.3% row 17 : 80 to 84 | 30.0% | 60.0% | 0.6% | 9.3% row 18 : 85 to 89 | 28.1% | 61.8% | 0.5% | 9.6% row 19 : 90 and over | 25.8% | 64.0% | 0.5% | 9.6%
table_csv/203_770.csv
2
{ "column_index": [ 0 ], "row_index": [ 6 ] }
[ "what ages attained groups in northern ireland ranks higher then 20% none or not stated?", "which of the ages in attendance groups that stated none or not stated which ones have an other religion of 1% or more?", "of the ages attained groups that had stated 20% or higher and have more then 1% other religions, which one has the lowest catholic percentage?" ]
1
30 to 34
[ "Ages attained (years)", "Catholic", "Protestant and other Christian", "Other Religion", "None or not stated" ]
of the ages attained groups that had stated 20% or higher and have more then 1% other religions, which one has the lowest catholic percentage?
[ [ "0 to 4", "44.3%", "31.7%", "0.9%", "23.2%" ], [ "5 to 9", "45.5%", "36.1%", "0.7%", "17.7%" ], [ "10 to 14", "45.9%", "37.9%", "0.6%", "15.6%" ], [ "15 to 19", "44.8%", "37.6%", "0.6%", "17.0%" ], [ "20 to 24", "43.4%", "35.2%", "0.7%", "20.7%" ], [ "25 to 29", "44.8%", "33.1%", "1.1%", "21.0%" ], [ "30 to 34", "44.0%", "34.3%", "1.4%", "20.3%" ], [ "35 to 39", "41.5%", "37.8%", "1.2%", "19.5%" ], [ "40 to 44", "40.4%", "41.1%", "0.9%", "17.7%" ], [ "45 to 49", "40.0%", "42.8%", "0.8%", "16.3%" ], [ "50 to 54", "39.2%", "44.9%", "0.7%", "15.1%" ], [ "55 to 59", "38.1%", "46.5%", "0.8%", "14.6%" ], [ "60 to 64", "35.8%", "50.0%", "0.7%", "13.4%" ], [ "65 to 69", "33.7%", "54.4%", "0.7%", "11.2%" ], [ "70 to 74", "32.9%", "56.4%", "0.7%", "10.1%" ], [ "75 to 79", "32.0%", "58.1%", "0.6%", "9.3%" ], [ "80 to 84", "30.0%", "60.0%", "0.6%", "9.3%" ], [ "85 to 89", "28.1%", "61.8%", "0.5%", "9.6%" ], [ "90 and over", "25.8%", "64.0%", "0.5%", "9.6%" ] ]
[ "30 to 34" ]
of the ages attained groups that had stated 20% or higher and have more then 1% other religions, which one has the lowest catholic percentage? || which of the ages in attendance groups that stated none or not stated which ones have an other religion of 1% or more? | what ages attained groups in northern ireland ranks higher then 20% none or not stated?
nt-594
col : ages attained (years) | catholic | protestant and other christian | other religion | none or not stated row 1 : 0 to 4 | 44.3% | 31.7% | 0.9% | 23.2% row 2 : 5 to 9 | 45.5% | 36.1% | 0.7% | 17.7% row 3 : 10 to 14 | 45.9% | 37.9% | 0.6% | 15.6% row 4 : 15 to 19 | 44.8% | 37.6% | 0.6% | 17.0% row 5 : 20 to 24 | 43.4% | 35.2% | 0.7% | 20.7% row 6 : 25 to 29 | 44.8% | 33.1% | 1.1% | 21.0% row 7 : 30 to 34 | 44.0% | 34.3% | 1.4% | 20.3% row 8 : 35 to 39 | 41.5% | 37.8% | 1.2% | 19.5% row 9 : 40 to 44 | 40.4% | 41.1% | 0.9% | 17.7% row 10 : 45 to 49 | 40.0% | 42.8% | 0.8% | 16.3% row 11 : 50 to 54 | 39.2% | 44.9% | 0.7% | 15.1% row 12 : 55 to 59 | 38.1% | 46.5% | 0.8% | 14.6% row 13 : 60 to 64 | 35.8% | 50.0% | 0.7% | 13.4% row 14 : 65 to 69 | 33.7% | 54.4% | 0.7% | 11.2% row 15 : 70 to 74 | 32.9% | 56.4% | 0.7% | 10.1% row 16 : 75 to 79 | 32.0% | 58.1% | 0.6% | 9.3% row 17 : 80 to 84 | 30.0% | 60.0% | 0.6% | 9.3% row 18 : 85 to 89 | 28.1% | 61.8% | 0.5% | 9.6% row 19 : 90 and over | 25.8% | 64.0% | 0.5% | 9.6%
table_csv/203_770.csv
0
{ "column_index": [ 0, 0, 0 ], "row_index": [ 5, 6, 7 ] }
[ "which age attained years had over 1% selected for other religion?" ]
2
25 to 29, 30 to 34, 35 to 39
[ "Ages attained (years)", "Catholic", "Protestant and other Christian", "Other Religion", "None or not stated" ]
which age attained years had over 1% selected for other religion?
[ [ "0 to 4", "44.3%", "31.7%", "0.9%", "23.2%" ], [ "5 to 9", "45.5%", "36.1%", "0.7%", "17.7%" ], [ "10 to 14", "45.9%", "37.9%", "0.6%", "15.6%" ], [ "15 to 19", "44.8%", "37.6%", "0.6%", "17.0%" ], [ "20 to 24", "43.4%", "35.2%", "0.7%", "20.7%" ], [ "25 to 29", "44.8%", "33.1%", "1.1%", "21.0%" ], [ "30 to 34", "44.0%", "34.3%", "1.4%", "20.3%" ], [ "35 to 39", "41.5%", "37.8%", "1.2%", "19.5%" ], [ "40 to 44", "40.4%", "41.1%", "0.9%", "17.7%" ], [ "45 to 49", "40.0%", "42.8%", "0.8%", "16.3%" ], [ "50 to 54", "39.2%", "44.9%", "0.7%", "15.1%" ], [ "55 to 59", "38.1%", "46.5%", "0.8%", "14.6%" ], [ "60 to 64", "35.8%", "50.0%", "0.7%", "13.4%" ], [ "65 to 69", "33.7%", "54.4%", "0.7%", "11.2%" ], [ "70 to 74", "32.9%", "56.4%", "0.7%", "10.1%" ], [ "75 to 79", "32.0%", "58.1%", "0.6%", "9.3%" ], [ "80 to 84", "30.0%", "60.0%", "0.6%", "9.3%" ], [ "85 to 89", "28.1%", "61.8%", "0.5%", "9.6%" ], [ "90 and over", "25.8%", "64.0%", "0.5%", "9.6%" ] ]
[ "25 to 29", "30 to 34", "35 to 39" ]
which age attained years had over 1% selected for other religion? ||
nt-594
col : ages attained (years) | catholic | protestant and other christian | other religion | none or not stated row 1 : 0 to 4 | 44.3% | 31.7% | 0.9% | 23.2% row 2 : 5 to 9 | 45.5% | 36.1% | 0.7% | 17.7% row 3 : 10 to 14 | 45.9% | 37.9% | 0.6% | 15.6% row 4 : 15 to 19 | 44.8% | 37.6% | 0.6% | 17.0% row 5 : 20 to 24 | 43.4% | 35.2% | 0.7% | 20.7% row 6 : 25 to 29 | 44.8% | 33.1% | 1.1% | 21.0% row 7 : 30 to 34 | 44.0% | 34.3% | 1.4% | 20.3% row 8 : 35 to 39 | 41.5% | 37.8% | 1.2% | 19.5% row 9 : 40 to 44 | 40.4% | 41.1% | 0.9% | 17.7% row 10 : 45 to 49 | 40.0% | 42.8% | 0.8% | 16.3% row 11 : 50 to 54 | 39.2% | 44.9% | 0.7% | 15.1% row 12 : 55 to 59 | 38.1% | 46.5% | 0.8% | 14.6% row 13 : 60 to 64 | 35.8% | 50.0% | 0.7% | 13.4% row 14 : 65 to 69 | 33.7% | 54.4% | 0.7% | 11.2% row 15 : 70 to 74 | 32.9% | 56.4% | 0.7% | 10.1% row 16 : 75 to 79 | 32.0% | 58.1% | 0.6% | 9.3% row 17 : 80 to 84 | 30.0% | 60.0% | 0.6% | 9.3% row 18 : 85 to 89 | 28.1% | 61.8% | 0.5% | 9.6% row 19 : 90 and over | 25.8% | 64.0% | 0.5% | 9.6%
table_csv/203_770.csv
1
{ "column_index": [ 0 ], "row_index": [ 6 ] }
[ "which age attained years had over 1% selected for other religion?", "of those ages attained, which one had the largest percentage for other religion?" ]
2
30 to 34
[ "Ages attained (years)", "Catholic", "Protestant and other Christian", "Other Religion", "None or not stated" ]
of those ages attained, which one had the largest percentage for other religion?
[ [ "0 to 4", "44.3%", "31.7%", "0.9%", "23.2%" ], [ "5 to 9", "45.5%", "36.1%", "0.7%", "17.7%" ], [ "10 to 14", "45.9%", "37.9%", "0.6%", "15.6%" ], [ "15 to 19", "44.8%", "37.6%", "0.6%", "17.0%" ], [ "20 to 24", "43.4%", "35.2%", "0.7%", "20.7%" ], [ "25 to 29", "44.8%", "33.1%", "1.1%", "21.0%" ], [ "30 to 34", "44.0%", "34.3%", "1.4%", "20.3%" ], [ "35 to 39", "41.5%", "37.8%", "1.2%", "19.5%" ], [ "40 to 44", "40.4%", "41.1%", "0.9%", "17.7%" ], [ "45 to 49", "40.0%", "42.8%", "0.8%", "16.3%" ], [ "50 to 54", "39.2%", "44.9%", "0.7%", "15.1%" ], [ "55 to 59", "38.1%", "46.5%", "0.8%", "14.6%" ], [ "60 to 64", "35.8%", "50.0%", "0.7%", "13.4%" ], [ "65 to 69", "33.7%", "54.4%", "0.7%", "11.2%" ], [ "70 to 74", "32.9%", "56.4%", "0.7%", "10.1%" ], [ "75 to 79", "32.0%", "58.1%", "0.6%", "9.3%" ], [ "80 to 84", "30.0%", "60.0%", "0.6%", "9.3%" ], [ "85 to 89", "28.1%", "61.8%", "0.5%", "9.6%" ], [ "90 and over", "25.8%", "64.0%", "0.5%", "9.6%" ] ]
[ "30 to 34" ]
of those ages attained, which one had the largest percentage for other religion? || which age attained years had over 1% selected for other religion?
nt-10651
col : coach | years | seasons | wins | losses | ties | pct row 1 : o. b. rip sanderson | 1908 | 1 | 5 | 1 | 0 | 0.833 row 2 : ed sabre | 1920 | 1 | 3 | 1 | 0 | 0.75 row 3 : mack erwin | 1957-60 | 4 | 62 | 30 | 1 | 0.672 row 4 : chal port | 1965-91 | 27 | 641 | 386 | 2 | 0.624 row 5 : fred jordan | 1992-pres | 22 | 726 | 552 | 0 | 0.568 row 6 : john d. mcmillan | 1952-53 | 2 | 14 | 15 | 0 | 0.483 row 7 : jim newsome | 1961-64 | 4 | 37 | 43 | 0 | 0.463 row 8 : bunzy o'neal | 1948 | 1 | 6 | 7 | 0 | 0.462 row 9 : george c. rogers | 1914-15, 1921-24 | 6 | 26 | 33 | 1 | 0.441 row 10 : fred montsdeoca | 1954-56 | 2 | 22 | 31 | 0 | 0.415 row 11 : george a. schmick | 1910 | 1 | 4 | 6 | 0 | 0.4 row 12 : thomas s. mcmillan | 1916, 1919 | 2 | 8 | 12 | 0 | 0.4 row 13 : harold manley | 1954 | 1 | 5 | 9 | 0 | 0.357 row 14 : barney legge | 1911 | 1 | 2 | 5 | 1 | 0.286 row 15 : h. l. matty matthews | 1926-30, 37-38 | 3 | 10 | 25 | 1 | 0.286 row 16 : dusty rhodes | 1947 | 1 | 2 | 5 | 0 | 0.286 row 17 : shorty o'brien | 1918 | 1 | 3 | 9 | 0 | 0.25 row 18 : bull dog drummond | 1925 | 1 | 2 | 7 | 0 | 0.222
table_csv/204_469.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ] }
[ "which the citadel bulldogs baseball coaches are shown?" ]
0
o. b. rip sanderson, ed sabre, mack erwin, chal port, fred jordan, john d. mcmillan, jim newsome, bunzy o'neal, george c. rogers, fred montsdeoca, george a. schmick, thomas s. mcmillan, harold manley, barney legge, h. l. matty matthews, dusty rhodes, shorty o'brien, bull dog drummond
[ "Coach", "Years", "Seasons", "Wins", "Losses", "Ties", "Pct" ]
which the citadel bulldogs baseball coaches are shown?
[ [ "O. B. Rip Sanderson", "1908", "1", "5", "1", "0", "0.833" ], [ "Ed Sabre", "1920", "1", "3", "1", "0", "0.75" ], [ "Mack Erwin", "1957-60", "4", "62", "30", "1", "0.672" ], [ "Chal Port", "1965-91", "27", "641", "386", "2", "0.624" ], [ "Fred Jordan", "1992-Pres", "22", "726", "552", "0", "0.568" ], [ "John D. McMillan", "1952-53", "2", "14", "15", "0", "0.483" ], [ "Jim Newsome", "1961-64", "4", "37", "43", "0", "0.463" ], [ "Bunzy O'Neal", "1948", "1", "6", "7", "0", "0.462" ], [ "George C. Rogers", "1914-15, 1921-24", "6", "26", "33", "1", "0.441" ], [ "Fred Montsdeoca", "1954-56", "2", "22", "31", "0", "0.415" ], [ "George A. Schmick", "1910", "1", "4", "6", "0", "0.4" ], [ "Thomas S. McMillan", "1916, 1919", "2", "8", "12", "0", "0.4" ], [ "Harold Manley", "1954", "1", "5", "9", "0", "0.357" ], [ "Barney Legge", "1911", "1", "2", "5", "1", "0.286" ], [ "H. L. Matty Matthews", "1926-30, 37-38", "3", "10", "25", "1", "0.286" ], [ "Dusty Rhodes", "1947", "1", "2", "5", "0", "0.286" ], [ "Shorty O'Brien", "1918", "1", "3", "9", "0", "0.25" ], [ "Bull Dog Drummond", "1925", "1", "2", "7", "0", "0.222" ] ]
[ "O. B. Rip Sanderson", "Ed Sabre", "Mack Erwin", "Chal Port", "Fred Jordan", "John D. McMillan", "Jim Newsome", "Bunzy O'Neal", "George C. Rogers", "Fred Montsdeoca", "George A. Schmick", "Thomas S. McMillan", "Harold Manley", "Barney Legge", "H. L. Matty Matthews", "Dusty Rhodes", "Shorty O'Brien", "Bull Dog Drummond" ]
which the citadel bulldogs baseball coaches are shown? ||
nt-10651
col : coach | years | seasons | wins | losses | ties | pct row 1 : o. b. rip sanderson | 1908 | 1 | 5 | 1 | 0 | 0.833 row 2 : ed sabre | 1920 | 1 | 3 | 1 | 0 | 0.75 row 3 : mack erwin | 1957-60 | 4 | 62 | 30 | 1 | 0.672 row 4 : chal port | 1965-91 | 27 | 641 | 386 | 2 | 0.624 row 5 : fred jordan | 1992-pres | 22 | 726 | 552 | 0 | 0.568 row 6 : john d. mcmillan | 1952-53 | 2 | 14 | 15 | 0 | 0.483 row 7 : jim newsome | 1961-64 | 4 | 37 | 43 | 0 | 0.463 row 8 : bunzy o'neal | 1948 | 1 | 6 | 7 | 0 | 0.462 row 9 : george c. rogers | 1914-15, 1921-24 | 6 | 26 | 33 | 1 | 0.441 row 10 : fred montsdeoca | 1954-56 | 2 | 22 | 31 | 0 | 0.415 row 11 : george a. schmick | 1910 | 1 | 4 | 6 | 0 | 0.4 row 12 : thomas s. mcmillan | 1916, 1919 | 2 | 8 | 12 | 0 | 0.4 row 13 : harold manley | 1954 | 1 | 5 | 9 | 0 | 0.357 row 14 : barney legge | 1911 | 1 | 2 | 5 | 1 | 0.286 row 15 : h. l. matty matthews | 1926-30, 37-38 | 3 | 10 | 25 | 1 | 0.286 row 16 : dusty rhodes | 1947 | 1 | 2 | 5 | 0 | 0.286 row 17 : shorty o'brien | 1918 | 1 | 3 | 9 | 0 | 0.25 row 18 : bull dog drummond | 1925 | 1 | 2 | 7 | 0 | 0.222
table_csv/204_469.csv
1
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 7, 10, 12, 13, 15, 16, 17 ] }
[ "which the citadel bulldogs baseball coaches are shown?", "of those who only coached one season?" ]
0
o. b. rip sanderson, ed sabre, bunzy o'neal, george a. schmick, harold manley, barney legge, dusty rhodes, shorty o'brien, bull dog drummond
[ "Coach", "Years", "Seasons", "Wins", "Losses", "Ties", "Pct" ]
of those who only coached one season?
[ [ "O. B. Rip Sanderson", "1908", "1", "5", "1", "0", "0.833" ], [ "Ed Sabre", "1920", "1", "3", "1", "0", "0.75" ], [ "Mack Erwin", "1957-60", "4", "62", "30", "1", "0.672" ], [ "Chal Port", "1965-91", "27", "641", "386", "2", "0.624" ], [ "Fred Jordan", "1992-Pres", "22", "726", "552", "0", "0.568" ], [ "John D. McMillan", "1952-53", "2", "14", "15", "0", "0.483" ], [ "Jim Newsome", "1961-64", "4", "37", "43", "0", "0.463" ], [ "Bunzy O'Neal", "1948", "1", "6", "7", "0", "0.462" ], [ "George C. Rogers", "1914-15, 1921-24", "6", "26", "33", "1", "0.441" ], [ "Fred Montsdeoca", "1954-56", "2", "22", "31", "0", "0.415" ], [ "George A. Schmick", "1910", "1", "4", "6", "0", "0.4" ], [ "Thomas S. McMillan", "1916, 1919", "2", "8", "12", "0", "0.4" ], [ "Harold Manley", "1954", "1", "5", "9", "0", "0.357" ], [ "Barney Legge", "1911", "1", "2", "5", "1", "0.286" ], [ "H. L. Matty Matthews", "1926-30, 37-38", "3", "10", "25", "1", "0.286" ], [ "Dusty Rhodes", "1947", "1", "2", "5", "0", "0.286" ], [ "Shorty O'Brien", "1918", "1", "3", "9", "0", "0.25" ], [ "Bull Dog Drummond", "1925", "1", "2", "7", "0", "0.222" ] ]
[ "O. B. Rip Sanderson", "Ed Sabre", "Bunzy O'Neal", "George A. Schmick", "Harold Manley", "Barney Legge", "Dusty Rhodes", "Shorty O'Brien", "Bull Dog Drummond" ]
of those who only coached one season? || which the citadel bulldogs baseball coaches are shown?
nt-10651
col : coach | years | seasons | wins | losses | ties | pct row 1 : o. b. rip sanderson | 1908 | 1 | 5 | 1 | 0 | 0.833 row 2 : ed sabre | 1920 | 1 | 3 | 1 | 0 | 0.75 row 3 : mack erwin | 1957-60 | 4 | 62 | 30 | 1 | 0.672 row 4 : chal port | 1965-91 | 27 | 641 | 386 | 2 | 0.624 row 5 : fred jordan | 1992-pres | 22 | 726 | 552 | 0 | 0.568 row 6 : john d. mcmillan | 1952-53 | 2 | 14 | 15 | 0 | 0.483 row 7 : jim newsome | 1961-64 | 4 | 37 | 43 | 0 | 0.463 row 8 : bunzy o'neal | 1948 | 1 | 6 | 7 | 0 | 0.462 row 9 : george c. rogers | 1914-15, 1921-24 | 6 | 26 | 33 | 1 | 0.441 row 10 : fred montsdeoca | 1954-56 | 2 | 22 | 31 | 0 | 0.415 row 11 : george a. schmick | 1910 | 1 | 4 | 6 | 0 | 0.4 row 12 : thomas s. mcmillan | 1916, 1919 | 2 | 8 | 12 | 0 | 0.4 row 13 : harold manley | 1954 | 1 | 5 | 9 | 0 | 0.357 row 14 : barney legge | 1911 | 1 | 2 | 5 | 1 | 0.286 row 15 : h. l. matty matthews | 1926-30, 37-38 | 3 | 10 | 25 | 1 | 0.286 row 16 : dusty rhodes | 1947 | 1 | 2 | 5 | 0 | 0.286 row 17 : shorty o'brien | 1918 | 1 | 3 | 9 | 0 | 0.25 row 18 : bull dog drummond | 1925 | 1 | 2 | 7 | 0 | 0.222
table_csv/204_469.csv
2
{ "column_index": [ 0 ], "row_index": [ 1 ] }
[ "which the citadel bulldogs baseball coaches are shown?", "of those who only coached one season?", "which of those coached the least games?" ]
0
ed sabre
[ "Coach", "Years", "Seasons", "Wins", "Losses", "Ties", "Pct" ]
which of those coached the least games?
[ [ "O. B. Rip Sanderson", "1908", "1", "5", "1", "0", "0.833" ], [ "Ed Sabre", "1920", "1", "3", "1", "0", "0.75" ], [ "Mack Erwin", "1957-60", "4", "62", "30", "1", "0.672" ], [ "Chal Port", "1965-91", "27", "641", "386", "2", "0.624" ], [ "Fred Jordan", "1992-Pres", "22", "726", "552", "0", "0.568" ], [ "John D. McMillan", "1952-53", "2", "14", "15", "0", "0.483" ], [ "Jim Newsome", "1961-64", "4", "37", "43", "0", "0.463" ], [ "Bunzy O'Neal", "1948", "1", "6", "7", "0", "0.462" ], [ "George C. Rogers", "1914-15, 1921-24", "6", "26", "33", "1", "0.441" ], [ "Fred Montsdeoca", "1954-56", "2", "22", "31", "0", "0.415" ], [ "George A. Schmick", "1910", "1", "4", "6", "0", "0.4" ], [ "Thomas S. McMillan", "1916, 1919", "2", "8", "12", "0", "0.4" ], [ "Harold Manley", "1954", "1", "5", "9", "0", "0.357" ], [ "Barney Legge", "1911", "1", "2", "5", "1", "0.286" ], [ "H. L. Matty Matthews", "1926-30, 37-38", "3", "10", "25", "1", "0.286" ], [ "Dusty Rhodes", "1947", "1", "2", "5", "0", "0.286" ], [ "Shorty O'Brien", "1918", "1", "3", "9", "0", "0.25" ], [ "Bull Dog Drummond", "1925", "1", "2", "7", "0", "0.222" ] ]
[ "Ed Sabre" ]
which of those coached the least games? || of those who only coached one season? | which the citadel bulldogs baseball coaches are shown?
nt-10651
col : coach | years | seasons | wins | losses | ties | pct row 1 : o. b. rip sanderson | 1908 | 1 | 5 | 1 | 0 | 0.833 row 2 : ed sabre | 1920 | 1 | 3 | 1 | 0 | 0.75 row 3 : mack erwin | 1957-60 | 4 | 62 | 30 | 1 | 0.672 row 4 : chal port | 1965-91 | 27 | 641 | 386 | 2 | 0.624 row 5 : fred jordan | 1992-pres | 22 | 726 | 552 | 0 | 0.568 row 6 : john d. mcmillan | 1952-53 | 2 | 14 | 15 | 0 | 0.483 row 7 : jim newsome | 1961-64 | 4 | 37 | 43 | 0 | 0.463 row 8 : bunzy o'neal | 1948 | 1 | 6 | 7 | 0 | 0.462 row 9 : george c. rogers | 1914-15, 1921-24 | 6 | 26 | 33 | 1 | 0.441 row 10 : fred montsdeoca | 1954-56 | 2 | 22 | 31 | 0 | 0.415 row 11 : george a. schmick | 1910 | 1 | 4 | 6 | 0 | 0.4 row 12 : thomas s. mcmillan | 1916, 1919 | 2 | 8 | 12 | 0 | 0.4 row 13 : harold manley | 1954 | 1 | 5 | 9 | 0 | 0.357 row 14 : barney legge | 1911 | 1 | 2 | 5 | 1 | 0.286 row 15 : h. l. matty matthews | 1926-30, 37-38 | 3 | 10 | 25 | 1 | 0.286 row 16 : dusty rhodes | 1947 | 1 | 2 | 5 | 0 | 0.286 row 17 : shorty o'brien | 1918 | 1 | 3 | 9 | 0 | 0.25 row 18 : bull dog drummond | 1925 | 1 | 2 | 7 | 0 | 0.222
table_csv/204_469.csv
0
{ "column_index": [ 4, 4 ], "row_index": [ 0, 1 ] }
[ "what is the least amount of losses recorded here?" ]
1
1, 1
[ "Coach", "Years", "Seasons", "Wins", "Losses", "Ties", "Pct" ]
what is the least amount of losses recorded here?
[ [ "O. B. Rip Sanderson", "1908", "1", "5", "1", "0", "0.833" ], [ "Ed Sabre", "1920", "1", "3", "1", "0", "0.75" ], [ "Mack Erwin", "1957-60", "4", "62", "30", "1", "0.672" ], [ "Chal Port", "1965-91", "27", "641", "386", "2", "0.624" ], [ "Fred Jordan", "1992-Pres", "22", "726", "552", "0", "0.568" ], [ "John D. McMillan", "1952-53", "2", "14", "15", "0", "0.483" ], [ "Jim Newsome", "1961-64", "4", "37", "43", "0", "0.463" ], [ "Bunzy O'Neal", "1948", "1", "6", "7", "0", "0.462" ], [ "George C. Rogers", "1914-15, 1921-24", "6", "26", "33", "1", "0.441" ], [ "Fred Montsdeoca", "1954-56", "2", "22", "31", "0", "0.415" ], [ "George A. Schmick", "1910", "1", "4", "6", "0", "0.4" ], [ "Thomas S. McMillan", "1916, 1919", "2", "8", "12", "0", "0.4" ], [ "Harold Manley", "1954", "1", "5", "9", "0", "0.357" ], [ "Barney Legge", "1911", "1", "2", "5", "1", "0.286" ], [ "H. L. Matty Matthews", "1926-30, 37-38", "3", "10", "25", "1", "0.286" ], [ "Dusty Rhodes", "1947", "1", "2", "5", "0", "0.286" ], [ "Shorty O'Brien", "1918", "1", "3", "9", "0", "0.25" ], [ "Bull Dog Drummond", "1925", "1", "2", "7", "0", "0.222" ] ]
[ "1", "1" ]
what is the least amount of losses recorded here? ||
nt-10651
col : coach | years | seasons | wins | losses | ties | pct row 1 : o. b. rip sanderson | 1908 | 1 | 5 | 1 | 0 | 0.833 row 2 : ed sabre | 1920 | 1 | 3 | 1 | 0 | 0.75 row 3 : mack erwin | 1957-60 | 4 | 62 | 30 | 1 | 0.672 row 4 : chal port | 1965-91 | 27 | 641 | 386 | 2 | 0.624 row 5 : fred jordan | 1992-pres | 22 | 726 | 552 | 0 | 0.568 row 6 : john d. mcmillan | 1952-53 | 2 | 14 | 15 | 0 | 0.483 row 7 : jim newsome | 1961-64 | 4 | 37 | 43 | 0 | 0.463 row 8 : bunzy o'neal | 1948 | 1 | 6 | 7 | 0 | 0.462 row 9 : george c. rogers | 1914-15, 1921-24 | 6 | 26 | 33 | 1 | 0.441 row 10 : fred montsdeoca | 1954-56 | 2 | 22 | 31 | 0 | 0.415 row 11 : george a. schmick | 1910 | 1 | 4 | 6 | 0 | 0.4 row 12 : thomas s. mcmillan | 1916, 1919 | 2 | 8 | 12 | 0 | 0.4 row 13 : harold manley | 1954 | 1 | 5 | 9 | 0 | 0.357 row 14 : barney legge | 1911 | 1 | 2 | 5 | 1 | 0.286 row 15 : h. l. matty matthews | 1926-30, 37-38 | 3 | 10 | 25 | 1 | 0.286 row 16 : dusty rhodes | 1947 | 1 | 2 | 5 | 0 | 0.286 row 17 : shorty o'brien | 1918 | 1 | 3 | 9 | 0 | 0.25 row 18 : bull dog drummond | 1925 | 1 | 2 | 7 | 0 | 0.222
table_csv/204_469.csv
1
{ "column_index": [ 0, 4, 0, 4 ], "row_index": [ 0, 0, 1, 1 ] }
[ "what is the least amount of losses recorded here?", "which two coaches had 1 loss?" ]
1
o. b. rip sanderson, 1, ed sabre, 1
[ "Coach", "Years", "Seasons", "Wins", "Losses", "Ties", "Pct" ]
which two coaches had 1 loss?
[ [ "O. B. Rip Sanderson", "1908", "1", "5", "1", "0", "0.833" ], [ "Ed Sabre", "1920", "1", "3", "1", "0", "0.75" ], [ "Mack Erwin", "1957-60", "4", "62", "30", "1", "0.672" ], [ "Chal Port", "1965-91", "27", "641", "386", "2", "0.624" ], [ "Fred Jordan", "1992-Pres", "22", "726", "552", "0", "0.568" ], [ "John D. McMillan", "1952-53", "2", "14", "15", "0", "0.483" ], [ "Jim Newsome", "1961-64", "4", "37", "43", "0", "0.463" ], [ "Bunzy O'Neal", "1948", "1", "6", "7", "0", "0.462" ], [ "George C. Rogers", "1914-15, 1921-24", "6", "26", "33", "1", "0.441" ], [ "Fred Montsdeoca", "1954-56", "2", "22", "31", "0", "0.415" ], [ "George A. Schmick", "1910", "1", "4", "6", "0", "0.4" ], [ "Thomas S. McMillan", "1916, 1919", "2", "8", "12", "0", "0.4" ], [ "Harold Manley", "1954", "1", "5", "9", "0", "0.357" ], [ "Barney Legge", "1911", "1", "2", "5", "1", "0.286" ], [ "H. L. Matty Matthews", "1926-30, 37-38", "3", "10", "25", "1", "0.286" ], [ "Dusty Rhodes", "1947", "1", "2", "5", "0", "0.286" ], [ "Shorty O'Brien", "1918", "1", "3", "9", "0", "0.25" ], [ "Bull Dog Drummond", "1925", "1", "2", "7", "0", "0.222" ] ]
[ "O. B. Rip Sanderson", "1", "Ed Sabre", "1" ]
which two coaches had 1 loss? || what is the least amount of losses recorded here?
nt-10651
col : coach | years | seasons | wins | losses | ties | pct row 1 : o. b. rip sanderson | 1908 | 1 | 5 | 1 | 0 | 0.833 row 2 : ed sabre | 1920 | 1 | 3 | 1 | 0 | 0.75 row 3 : mack erwin | 1957-60 | 4 | 62 | 30 | 1 | 0.672 row 4 : chal port | 1965-91 | 27 | 641 | 386 | 2 | 0.624 row 5 : fred jordan | 1992-pres | 22 | 726 | 552 | 0 | 0.568 row 6 : john d. mcmillan | 1952-53 | 2 | 14 | 15 | 0 | 0.483 row 7 : jim newsome | 1961-64 | 4 | 37 | 43 | 0 | 0.463 row 8 : bunzy o'neal | 1948 | 1 | 6 | 7 | 0 | 0.462 row 9 : george c. rogers | 1914-15, 1921-24 | 6 | 26 | 33 | 1 | 0.441 row 10 : fred montsdeoca | 1954-56 | 2 | 22 | 31 | 0 | 0.415 row 11 : george a. schmick | 1910 | 1 | 4 | 6 | 0 | 0.4 row 12 : thomas s. mcmillan | 1916, 1919 | 2 | 8 | 12 | 0 | 0.4 row 13 : harold manley | 1954 | 1 | 5 | 9 | 0 | 0.357 row 14 : barney legge | 1911 | 1 | 2 | 5 | 1 | 0.286 row 15 : h. l. matty matthews | 1926-30, 37-38 | 3 | 10 | 25 | 1 | 0.286 row 16 : dusty rhodes | 1947 | 1 | 2 | 5 | 0 | 0.286 row 17 : shorty o'brien | 1918 | 1 | 3 | 9 | 0 | 0.25 row 18 : bull dog drummond | 1925 | 1 | 2 | 7 | 0 | 0.222
table_csv/204_469.csv
2
{ "column_index": [ 3 ], "row_index": [ 1 ] }
[ "what is the least amount of losses recorded here?", "which two coaches had 1 loss?", "how many games did sabre win?" ]
1
3
[ "Coach", "Years", "Seasons", "Wins", "Losses", "Ties", "Pct" ]
how many games did sabre win?
[ [ "O. B. Rip Sanderson", "1908", "1", "5", "1", "0", "0.833" ], [ "Ed Sabre", "1920", "1", "3", "1", "0", "0.75" ], [ "Mack Erwin", "1957-60", "4", "62", "30", "1", "0.672" ], [ "Chal Port", "1965-91", "27", "641", "386", "2", "0.624" ], [ "Fred Jordan", "1992-Pres", "22", "726", "552", "0", "0.568" ], [ "John D. McMillan", "1952-53", "2", "14", "15", "0", "0.483" ], [ "Jim Newsome", "1961-64", "4", "37", "43", "0", "0.463" ], [ "Bunzy O'Neal", "1948", "1", "6", "7", "0", "0.462" ], [ "George C. Rogers", "1914-15, 1921-24", "6", "26", "33", "1", "0.441" ], [ "Fred Montsdeoca", "1954-56", "2", "22", "31", "0", "0.415" ], [ "George A. Schmick", "1910", "1", "4", "6", "0", "0.4" ], [ "Thomas S. McMillan", "1916, 1919", "2", "8", "12", "0", "0.4" ], [ "Harold Manley", "1954", "1", "5", "9", "0", "0.357" ], [ "Barney Legge", "1911", "1", "2", "5", "1", "0.286" ], [ "H. L. Matty Matthews", "1926-30, 37-38", "3", "10", "25", "1", "0.286" ], [ "Dusty Rhodes", "1947", "1", "2", "5", "0", "0.286" ], [ "Shorty O'Brien", "1918", "1", "3", "9", "0", "0.25" ], [ "Bull Dog Drummond", "1925", "1", "2", "7", "0", "0.222" ] ]
[ "3" ]
how many games did sabre win? || which two coaches had 1 loss? | what is the least amount of losses recorded here?
nt-10651
col : coach | years | seasons | wins | losses | ties | pct row 1 : o. b. rip sanderson | 1908 | 1 | 5 | 1 | 0 | 0.833 row 2 : ed sabre | 1920 | 1 | 3 | 1 | 0 | 0.75 row 3 : mack erwin | 1957-60 | 4 | 62 | 30 | 1 | 0.672 row 4 : chal port | 1965-91 | 27 | 641 | 386 | 2 | 0.624 row 5 : fred jordan | 1992-pres | 22 | 726 | 552 | 0 | 0.568 row 6 : john d. mcmillan | 1952-53 | 2 | 14 | 15 | 0 | 0.483 row 7 : jim newsome | 1961-64 | 4 | 37 | 43 | 0 | 0.463 row 8 : bunzy o'neal | 1948 | 1 | 6 | 7 | 0 | 0.462 row 9 : george c. rogers | 1914-15, 1921-24 | 6 | 26 | 33 | 1 | 0.441 row 10 : fred montsdeoca | 1954-56 | 2 | 22 | 31 | 0 | 0.415 row 11 : george a. schmick | 1910 | 1 | 4 | 6 | 0 | 0.4 row 12 : thomas s. mcmillan | 1916, 1919 | 2 | 8 | 12 | 0 | 0.4 row 13 : harold manley | 1954 | 1 | 5 | 9 | 0 | 0.357 row 14 : barney legge | 1911 | 1 | 2 | 5 | 1 | 0.286 row 15 : h. l. matty matthews | 1926-30, 37-38 | 3 | 10 | 25 | 1 | 0.286 row 16 : dusty rhodes | 1947 | 1 | 2 | 5 | 0 | 0.286 row 17 : shorty o'brien | 1918 | 1 | 3 | 9 | 0 | 0.25 row 18 : bull dog drummond | 1925 | 1 | 2 | 7 | 0 | 0.222
table_csv/204_469.csv
3
{ "column_index": [ 3 ], "row_index": [ 0 ] }
[ "what is the least amount of losses recorded here?", "which two coaches had 1 loss?", "how many games did sabre win?", "how many games did sanderson win?" ]
1
5
[ "Coach", "Years", "Seasons", "Wins", "Losses", "Ties", "Pct" ]
how many games did sanderson win?
[ [ "O. B. Rip Sanderson", "1908", "1", "5", "1", "0", "0.833" ], [ "Ed Sabre", "1920", "1", "3", "1", "0", "0.75" ], [ "Mack Erwin", "1957-60", "4", "62", "30", "1", "0.672" ], [ "Chal Port", "1965-91", "27", "641", "386", "2", "0.624" ], [ "Fred Jordan", "1992-Pres", "22", "726", "552", "0", "0.568" ], [ "John D. McMillan", "1952-53", "2", "14", "15", "0", "0.483" ], [ "Jim Newsome", "1961-64", "4", "37", "43", "0", "0.463" ], [ "Bunzy O'Neal", "1948", "1", "6", "7", "0", "0.462" ], [ "George C. Rogers", "1914-15, 1921-24", "6", "26", "33", "1", "0.441" ], [ "Fred Montsdeoca", "1954-56", "2", "22", "31", "0", "0.415" ], [ "George A. Schmick", "1910", "1", "4", "6", "0", "0.4" ], [ "Thomas S. McMillan", "1916, 1919", "2", "8", "12", "0", "0.4" ], [ "Harold Manley", "1954", "1", "5", "9", "0", "0.357" ], [ "Barney Legge", "1911", "1", "2", "5", "1", "0.286" ], [ "H. L. Matty Matthews", "1926-30, 37-38", "3", "10", "25", "1", "0.286" ], [ "Dusty Rhodes", "1947", "1", "2", "5", "0", "0.286" ], [ "Shorty O'Brien", "1918", "1", "3", "9", "0", "0.25" ], [ "Bull Dog Drummond", "1925", "1", "2", "7", "0", "0.222" ] ]
[ "5" ]
how many games did sanderson win? || how many games did sabre win? | which two coaches had 1 loss? | what is the least amount of losses recorded here?
nt-10651
col : coach | years | seasons | wins | losses | ties | pct row 1 : o. b. rip sanderson | 1908 | 1 | 5 | 1 | 0 | 0.833 row 2 : ed sabre | 1920 | 1 | 3 | 1 | 0 | 0.75 row 3 : mack erwin | 1957-60 | 4 | 62 | 30 | 1 | 0.672 row 4 : chal port | 1965-91 | 27 | 641 | 386 | 2 | 0.624 row 5 : fred jordan | 1992-pres | 22 | 726 | 552 | 0 | 0.568 row 6 : john d. mcmillan | 1952-53 | 2 | 14 | 15 | 0 | 0.483 row 7 : jim newsome | 1961-64 | 4 | 37 | 43 | 0 | 0.463 row 8 : bunzy o'neal | 1948 | 1 | 6 | 7 | 0 | 0.462 row 9 : george c. rogers | 1914-15, 1921-24 | 6 | 26 | 33 | 1 | 0.441 row 10 : fred montsdeoca | 1954-56 | 2 | 22 | 31 | 0 | 0.415 row 11 : george a. schmick | 1910 | 1 | 4 | 6 | 0 | 0.4 row 12 : thomas s. mcmillan | 1916, 1919 | 2 | 8 | 12 | 0 | 0.4 row 13 : harold manley | 1954 | 1 | 5 | 9 | 0 | 0.357 row 14 : barney legge | 1911 | 1 | 2 | 5 | 1 | 0.286 row 15 : h. l. matty matthews | 1926-30, 37-38 | 3 | 10 | 25 | 1 | 0.286 row 16 : dusty rhodes | 1947 | 1 | 2 | 5 | 0 | 0.286 row 17 : shorty o'brien | 1918 | 1 | 3 | 9 | 0 | 0.25 row 18 : bull dog drummond | 1925 | 1 | 2 | 7 | 0 | 0.222
table_csv/204_469.csv
4
{ "column_index": [ 0 ], "row_index": [ 1 ] }
[ "what is the least amount of losses recorded here?", "which two coaches had 1 loss?", "how many games did sabre win?", "how many games did sanderson win?", "between sanderson and sabre, who coached the least amount of games?" ]
1
ed sabre
[ "Coach", "Years", "Seasons", "Wins", "Losses", "Ties", "Pct" ]
between sanderson and sabre, who coached the least amount of games?
[ [ "O. B. Rip Sanderson", "1908", "1", "5", "1", "0", "0.833" ], [ "Ed Sabre", "1920", "1", "3", "1", "0", "0.75" ], [ "Mack Erwin", "1957-60", "4", "62", "30", "1", "0.672" ], [ "Chal Port", "1965-91", "27", "641", "386", "2", "0.624" ], [ "Fred Jordan", "1992-Pres", "22", "726", "552", "0", "0.568" ], [ "John D. McMillan", "1952-53", "2", "14", "15", "0", "0.483" ], [ "Jim Newsome", "1961-64", "4", "37", "43", "0", "0.463" ], [ "Bunzy O'Neal", "1948", "1", "6", "7", "0", "0.462" ], [ "George C. Rogers", "1914-15, 1921-24", "6", "26", "33", "1", "0.441" ], [ "Fred Montsdeoca", "1954-56", "2", "22", "31", "0", "0.415" ], [ "George A. Schmick", "1910", "1", "4", "6", "0", "0.4" ], [ "Thomas S. McMillan", "1916, 1919", "2", "8", "12", "0", "0.4" ], [ "Harold Manley", "1954", "1", "5", "9", "0", "0.357" ], [ "Barney Legge", "1911", "1", "2", "5", "1", "0.286" ], [ "H. L. Matty Matthews", "1926-30, 37-38", "3", "10", "25", "1", "0.286" ], [ "Dusty Rhodes", "1947", "1", "2", "5", "0", "0.286" ], [ "Shorty O'Brien", "1918", "1", "3", "9", "0", "0.25" ], [ "Bull Dog Drummond", "1925", "1", "2", "7", "0", "0.222" ] ]
[ "Ed Sabre" ]
between sanderson and sabre, who coached the least amount of games? || how many games did sanderson win? | how many games did sabre win? | which two coaches had 1 loss? | what is the least amount of losses recorded here?
nt-10651
col : coach | years | seasons | wins | losses | ties | pct row 1 : o. b. rip sanderson | 1908 | 1 | 5 | 1 | 0 | 0.833 row 2 : ed sabre | 1920 | 1 | 3 | 1 | 0 | 0.75 row 3 : mack erwin | 1957-60 | 4 | 62 | 30 | 1 | 0.672 row 4 : chal port | 1965-91 | 27 | 641 | 386 | 2 | 0.624 row 5 : fred jordan | 1992-pres | 22 | 726 | 552 | 0 | 0.568 row 6 : john d. mcmillan | 1952-53 | 2 | 14 | 15 | 0 | 0.483 row 7 : jim newsome | 1961-64 | 4 | 37 | 43 | 0 | 0.463 row 8 : bunzy o'neal | 1948 | 1 | 6 | 7 | 0 | 0.462 row 9 : george c. rogers | 1914-15, 1921-24 | 6 | 26 | 33 | 1 | 0.441 row 10 : fred montsdeoca | 1954-56 | 2 | 22 | 31 | 0 | 0.415 row 11 : george a. schmick | 1910 | 1 | 4 | 6 | 0 | 0.4 row 12 : thomas s. mcmillan | 1916, 1919 | 2 | 8 | 12 | 0 | 0.4 row 13 : harold manley | 1954 | 1 | 5 | 9 | 0 | 0.357 row 14 : barney legge | 1911 | 1 | 2 | 5 | 1 | 0.286 row 15 : h. l. matty matthews | 1926-30, 37-38 | 3 | 10 | 25 | 1 | 0.286 row 16 : dusty rhodes | 1947 | 1 | 2 | 5 | 0 | 0.286 row 17 : shorty o'brien | 1918 | 1 | 3 | 9 | 0 | 0.25 row 18 : bull dog drummond | 1925 | 1 | 2 | 7 | 0 | 0.222
table_csv/204_469.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ] }
[ "what are all the names of the coaches?" ]
2
o. b. rip sanderson, ed sabre, mack erwin, chal port, fred jordan, john d. mcmillan, jim newsome, bunzy o'neal, george c. rogers, fred montsdeoca, george a. schmick, thomas s. mcmillan, harold manley, barney legge, h. l. matty matthews, dusty rhodes, shorty o'brien, bull dog drummond
[ "Coach", "Years", "Seasons", "Wins", "Losses", "Ties", "Pct" ]
what are all the names of the coaches?
[ [ "O. B. Rip Sanderson", "1908", "1", "5", "1", "0", "0.833" ], [ "Ed Sabre", "1920", "1", "3", "1", "0", "0.75" ], [ "Mack Erwin", "1957-60", "4", "62", "30", "1", "0.672" ], [ "Chal Port", "1965-91", "27", "641", "386", "2", "0.624" ], [ "Fred Jordan", "1992-Pres", "22", "726", "552", "0", "0.568" ], [ "John D. McMillan", "1952-53", "2", "14", "15", "0", "0.483" ], [ "Jim Newsome", "1961-64", "4", "37", "43", "0", "0.463" ], [ "Bunzy O'Neal", "1948", "1", "6", "7", "0", "0.462" ], [ "George C. Rogers", "1914-15, 1921-24", "6", "26", "33", "1", "0.441" ], [ "Fred Montsdeoca", "1954-56", "2", "22", "31", "0", "0.415" ], [ "George A. Schmick", "1910", "1", "4", "6", "0", "0.4" ], [ "Thomas S. McMillan", "1916, 1919", "2", "8", "12", "0", "0.4" ], [ "Harold Manley", "1954", "1", "5", "9", "0", "0.357" ], [ "Barney Legge", "1911", "1", "2", "5", "1", "0.286" ], [ "H. L. Matty Matthews", "1926-30, 37-38", "3", "10", "25", "1", "0.286" ], [ "Dusty Rhodes", "1947", "1", "2", "5", "0", "0.286" ], [ "Shorty O'Brien", "1918", "1", "3", "9", "0", "0.25" ], [ "Bull Dog Drummond", "1925", "1", "2", "7", "0", "0.222" ] ]
[ "O. B. Rip Sanderson", "Ed Sabre", "Mack Erwin", "Chal Port", "Fred Jordan", "John D. McMillan", "Jim Newsome", "Bunzy O'Neal", "George C. Rogers", "Fred Montsdeoca", "George A. Schmick", "Thomas S. McMillan", "Harold Manley", "Barney Legge", "H. L. Matty Matthews", "Dusty Rhodes", "Shorty O'Brien", "Bull Dog Drummond" ]
what are all the names of the coaches? ||
nt-10651
col : coach | years | seasons | wins | losses | ties | pct row 1 : o. b. rip sanderson | 1908 | 1 | 5 | 1 | 0 | 0.833 row 2 : ed sabre | 1920 | 1 | 3 | 1 | 0 | 0.75 row 3 : mack erwin | 1957-60 | 4 | 62 | 30 | 1 | 0.672 row 4 : chal port | 1965-91 | 27 | 641 | 386 | 2 | 0.624 row 5 : fred jordan | 1992-pres | 22 | 726 | 552 | 0 | 0.568 row 6 : john d. mcmillan | 1952-53 | 2 | 14 | 15 | 0 | 0.483 row 7 : jim newsome | 1961-64 | 4 | 37 | 43 | 0 | 0.463 row 8 : bunzy o'neal | 1948 | 1 | 6 | 7 | 0 | 0.462 row 9 : george c. rogers | 1914-15, 1921-24 | 6 | 26 | 33 | 1 | 0.441 row 10 : fred montsdeoca | 1954-56 | 2 | 22 | 31 | 0 | 0.415 row 11 : george a. schmick | 1910 | 1 | 4 | 6 | 0 | 0.4 row 12 : thomas s. mcmillan | 1916, 1919 | 2 | 8 | 12 | 0 | 0.4 row 13 : harold manley | 1954 | 1 | 5 | 9 | 0 | 0.357 row 14 : barney legge | 1911 | 1 | 2 | 5 | 1 | 0.286 row 15 : h. l. matty matthews | 1926-30, 37-38 | 3 | 10 | 25 | 1 | 0.286 row 16 : dusty rhodes | 1947 | 1 | 2 | 5 | 0 | 0.286 row 17 : shorty o'brien | 1918 | 1 | 3 | 9 | 0 | 0.25 row 18 : bull dog drummond | 1925 | 1 | 2 | 7 | 0 | 0.222
table_csv/204_469.csv
1
{ "column_index": [ 0 ], "row_index": [ 1 ] }
[ "what are all the names of the coaches?", "which coach has the least number of total games?" ]
2
ed sabre
[ "Coach", "Years", "Seasons", "Wins", "Losses", "Ties", "Pct" ]
which coach has the least number of total games?
[ [ "O. B. Rip Sanderson", "1908", "1", "5", "1", "0", "0.833" ], [ "Ed Sabre", "1920", "1", "3", "1", "0", "0.75" ], [ "Mack Erwin", "1957-60", "4", "62", "30", "1", "0.672" ], [ "Chal Port", "1965-91", "27", "641", "386", "2", "0.624" ], [ "Fred Jordan", "1992-Pres", "22", "726", "552", "0", "0.568" ], [ "John D. McMillan", "1952-53", "2", "14", "15", "0", "0.483" ], [ "Jim Newsome", "1961-64", "4", "37", "43", "0", "0.463" ], [ "Bunzy O'Neal", "1948", "1", "6", "7", "0", "0.462" ], [ "George C. Rogers", "1914-15, 1921-24", "6", "26", "33", "1", "0.441" ], [ "Fred Montsdeoca", "1954-56", "2", "22", "31", "0", "0.415" ], [ "George A. Schmick", "1910", "1", "4", "6", "0", "0.4" ], [ "Thomas S. McMillan", "1916, 1919", "2", "8", "12", "0", "0.4" ], [ "Harold Manley", "1954", "1", "5", "9", "0", "0.357" ], [ "Barney Legge", "1911", "1", "2", "5", "1", "0.286" ], [ "H. L. Matty Matthews", "1926-30, 37-38", "3", "10", "25", "1", "0.286" ], [ "Dusty Rhodes", "1947", "1", "2", "5", "0", "0.286" ], [ "Shorty O'Brien", "1918", "1", "3", "9", "0", "0.25" ], [ "Bull Dog Drummond", "1925", "1", "2", "7", "0", "0.222" ] ]
[ "Ed Sabre" ]
which coach has the least number of total games? || what are all the names of the coaches?
nt-755
col : place | player | country | score | to par row 1 : t1 | ed sneed | united states | 68-67=135 | -9 row 2 : t1 | craig stadler | united states | 69-66=135 | -9 row 3 : t3 | raymond floyd | united states | 70-68=138 | -6 row 4 : t3 | leonard thompson | united states | 68-70=138 | -6 row 5 : t5 | miller barber | united states | 75-64=139 | -5 row 6 : t5 | tom watson | united states | 68-71=139 | -5 row 7 : t5 | joe inman | united states | 68-71=139 | -5 row 8 : t8 | seve ballesteros | spain | 72-68=140 | -4 row 9 : t8 | jack nicklaus | united states | 69-71=140 | -4 row 10 : t8 | lou graham | united states | 69-71=140 | -4
table_csv/203_251.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "which players played in this tournament?" ]
0
ed sneed, craig stadler, raymond floyd, leonard thompson, miller barber, tom watson, joe inman, seve ballesteros, jack nicklaus, lou graham
[ "Place", "Player", "Country", "Score", "To par" ]
which players played in this tournament?
[ [ "T1", "Ed Sneed", "United States", "68-67=135", "-9" ], [ "T1", "Craig Stadler", "United States", "69-66=135", "-9" ], [ "T3", "Raymond Floyd", "United States", "70-68=138", "-6" ], [ "T3", "Leonard Thompson", "United States", "68-70=138", "-6" ], [ "T5", "Miller Barber", "United States", "75-64=139", "-5" ], [ "T5", "Tom Watson", "United States", "68-71=139", "-5" ], [ "T5", "Joe Inman", "United States", "68-71=139", "-5" ], [ "T8", "Seve Ballesteros", "Spain", "72-68=140", "-4" ], [ "T8", "Jack Nicklaus", "United States", "69-71=140", "-4" ], [ "T8", "Lou Graham", "United States", "69-71=140", "-4" ] ]
[ "Ed Sneed", "Craig Stadler", "Raymond Floyd", "Leonard Thompson", "Miller Barber", "Tom Watson", "Joe Inman", "Seve Ballesteros", "Jack Nicklaus", "Lou Graham" ]
which players played in this tournament? ||
nt-755
col : place | player | country | score | to par row 1 : t1 | ed sneed | united states | 68-67=135 | -9 row 2 : t1 | craig stadler | united states | 69-66=135 | -9 row 3 : t3 | raymond floyd | united states | 70-68=138 | -6 row 4 : t3 | leonard thompson | united states | 68-70=138 | -6 row 5 : t5 | miller barber | united states | 75-64=139 | -5 row 6 : t5 | tom watson | united states | 68-71=139 | -5 row 7 : t5 | joe inman | united states | 68-71=139 | -5 row 8 : t8 | seve ballesteros | spain | 72-68=140 | -4 row 9 : t8 | jack nicklaus | united states | 69-71=140 | -4 row 10 : t8 | lou graham | united states | 69-71=140 | -4
table_csv/203_251.csv
1
{ "column_index": [ 1 ], "row_index": [ 6 ] }
[ "which players played in this tournament?", "who scored higher. joe inman or craig stadler?" ]
0
joe inman
[ "Place", "Player", "Country", "Score", "To par" ]
who scored higher. joe inman or craig stadler?
[ [ "T1", "Ed Sneed", "United States", "68-67=135", "-9" ], [ "T1", "Craig Stadler", "United States", "69-66=135", "-9" ], [ "T3", "Raymond Floyd", "United States", "70-68=138", "-6" ], [ "T3", "Leonard Thompson", "United States", "68-70=138", "-6" ], [ "T5", "Miller Barber", "United States", "75-64=139", "-5" ], [ "T5", "Tom Watson", "United States", "68-71=139", "-5" ], [ "T5", "Joe Inman", "United States", "68-71=139", "-5" ], [ "T8", "Seve Ballesteros", "Spain", "72-68=140", "-4" ], [ "T8", "Jack Nicklaus", "United States", "69-71=140", "-4" ], [ "T8", "Lou Graham", "United States", "69-71=140", "-4" ] ]
[ "Joe Inman" ]
who scored higher. joe inman or craig stadler? || which players played in this tournament?
nt-755
col : place | player | country | score | to par row 1 : t1 | ed sneed | united states | 68-67=135 | -9 row 2 : t1 | craig stadler | united states | 69-66=135 | -9 row 3 : t3 | raymond floyd | united states | 70-68=138 | -6 row 4 : t3 | leonard thompson | united states | 68-70=138 | -6 row 5 : t5 | miller barber | united states | 75-64=139 | -5 row 6 : t5 | tom watson | united states | 68-71=139 | -5 row 7 : t5 | joe inman | united states | 68-71=139 | -5 row 8 : t8 | seve ballesteros | spain | 72-68=140 | -4 row 9 : t8 | jack nicklaus | united states | 69-71=140 | -4 row 10 : t8 | lou graham | united states | 69-71=140 | -4
table_csv/203_251.csv
0
{ "column_index": [ 4 ], "row_index": [ 1 ] }
[ "what was craig stadler's score?" ]
1
-9
[ "Place", "Player", "Country", "Score", "To par" ]
what was craig stadler's score?
[ [ "T1", "Ed Sneed", "United States", "68-67=135", "-9" ], [ "T1", "Craig Stadler", "United States", "69-66=135", "-9" ], [ "T3", "Raymond Floyd", "United States", "70-68=138", "-6" ], [ "T3", "Leonard Thompson", "United States", "68-70=138", "-6" ], [ "T5", "Miller Barber", "United States", "75-64=139", "-5" ], [ "T5", "Tom Watson", "United States", "68-71=139", "-5" ], [ "T5", "Joe Inman", "United States", "68-71=139", "-5" ], [ "T8", "Seve Ballesteros", "Spain", "72-68=140", "-4" ], [ "T8", "Jack Nicklaus", "United States", "69-71=140", "-4" ], [ "T8", "Lou Graham", "United States", "69-71=140", "-4" ] ]
[ "-9" ]
what was craig stadler's score? ||
nt-755
col : place | player | country | score | to par row 1 : t1 | ed sneed | united states | 68-67=135 | -9 row 2 : t1 | craig stadler | united states | 69-66=135 | -9 row 3 : t3 | raymond floyd | united states | 70-68=138 | -6 row 4 : t3 | leonard thompson | united states | 68-70=138 | -6 row 5 : t5 | miller barber | united states | 75-64=139 | -5 row 6 : t5 | tom watson | united states | 68-71=139 | -5 row 7 : t5 | joe inman | united states | 68-71=139 | -5 row 8 : t8 | seve ballesteros | spain | 72-68=140 | -4 row 9 : t8 | jack nicklaus | united states | 69-71=140 | -4 row 10 : t8 | lou graham | united states | 69-71=140 | -4
table_csv/203_251.csv
1
{ "column_index": [ 4 ], "row_index": [ 6 ] }
[ "what was craig stadler's score?", "what was joe inman's score?" ]
1
-5
[ "Place", "Player", "Country", "Score", "To par" ]
what was joe inman's score?
[ [ "T1", "Ed Sneed", "United States", "68-67=135", "-9" ], [ "T1", "Craig Stadler", "United States", "69-66=135", "-9" ], [ "T3", "Raymond Floyd", "United States", "70-68=138", "-6" ], [ "T3", "Leonard Thompson", "United States", "68-70=138", "-6" ], [ "T5", "Miller Barber", "United States", "75-64=139", "-5" ], [ "T5", "Tom Watson", "United States", "68-71=139", "-5" ], [ "T5", "Joe Inman", "United States", "68-71=139", "-5" ], [ "T8", "Seve Ballesteros", "Spain", "72-68=140", "-4" ], [ "T8", "Jack Nicklaus", "United States", "69-71=140", "-4" ], [ "T8", "Lou Graham", "United States", "69-71=140", "-4" ] ]
[ "-5" ]
what was joe inman's score? || what was craig stadler's score?
nt-755
col : place | player | country | score | to par row 1 : t1 | ed sneed | united states | 68-67=135 | -9 row 2 : t1 | craig stadler | united states | 69-66=135 | -9 row 3 : t3 | raymond floyd | united states | 70-68=138 | -6 row 4 : t3 | leonard thompson | united states | 68-70=138 | -6 row 5 : t5 | miller barber | united states | 75-64=139 | -5 row 6 : t5 | tom watson | united states | 68-71=139 | -5 row 7 : t5 | joe inman | united states | 68-71=139 | -5 row 8 : t8 | seve ballesteros | spain | 72-68=140 | -4 row 9 : t8 | jack nicklaus | united states | 69-71=140 | -4 row 10 : t8 | lou graham | united states | 69-71=140 | -4
table_csv/203_251.csv
2
{ "column_index": [ 1 ], "row_index": [ 6 ] }
[ "what was craig stadler's score?", "what was joe inman's score?", "between stadler and inman, who had a better score?" ]
1
joe inman
[ "Place", "Player", "Country", "Score", "To par" ]
between stadler and inman, who had a better score?
[ [ "T1", "Ed Sneed", "United States", "68-67=135", "-9" ], [ "T1", "Craig Stadler", "United States", "69-66=135", "-9" ], [ "T3", "Raymond Floyd", "United States", "70-68=138", "-6" ], [ "T3", "Leonard Thompson", "United States", "68-70=138", "-6" ], [ "T5", "Miller Barber", "United States", "75-64=139", "-5" ], [ "T5", "Tom Watson", "United States", "68-71=139", "-5" ], [ "T5", "Joe Inman", "United States", "68-71=139", "-5" ], [ "T8", "Seve Ballesteros", "Spain", "72-68=140", "-4" ], [ "T8", "Jack Nicklaus", "United States", "69-71=140", "-4" ], [ "T8", "Lou Graham", "United States", "69-71=140", "-4" ] ]
[ "Joe Inman" ]
between stadler and inman, who had a better score? || what was joe inman's score? | what was craig stadler's score?
nt-755
col : place | player | country | score | to par row 1 : t1 | ed sneed | united states | 68-67=135 | -9 row 2 : t1 | craig stadler | united states | 69-66=135 | -9 row 3 : t3 | raymond floyd | united states | 70-68=138 | -6 row 4 : t3 | leonard thompson | united states | 68-70=138 | -6 row 5 : t5 | miller barber | united states | 75-64=139 | -5 row 6 : t5 | tom watson | united states | 68-71=139 | -5 row 7 : t5 | joe inman | united states | 68-71=139 | -5 row 8 : t8 | seve ballesteros | spain | 72-68=140 | -4 row 9 : t8 | jack nicklaus | united states | 69-71=140 | -4 row 10 : t8 | lou graham | united states | 69-71=140 | -4
table_csv/203_251.csv
0
{ "column_index": [ 3, 3 ], "row_index": [ 1, 6 ] }
[ "what are the scores of craig stadler and joe inman?" ]
2
69-66=135, 68-71=139
[ "Place", "Player", "Country", "Score", "To par" ]
what are the scores of craig stadler and joe inman?
[ [ "T1", "Ed Sneed", "United States", "68-67=135", "-9" ], [ "T1", "Craig Stadler", "United States", "69-66=135", "-9" ], [ "T3", "Raymond Floyd", "United States", "70-68=138", "-6" ], [ "T3", "Leonard Thompson", "United States", "68-70=138", "-6" ], [ "T5", "Miller Barber", "United States", "75-64=139", "-5" ], [ "T5", "Tom Watson", "United States", "68-71=139", "-5" ], [ "T5", "Joe Inman", "United States", "68-71=139", "-5" ], [ "T8", "Seve Ballesteros", "Spain", "72-68=140", "-4" ], [ "T8", "Jack Nicklaus", "United States", "69-71=140", "-4" ], [ "T8", "Lou Graham", "United States", "69-71=140", "-4" ] ]
[ "69-66=135", "68-71=139" ]
what are the scores of craig stadler and joe inman? ||
nt-755
col : place | player | country | score | to par row 1 : t1 | ed sneed | united states | 68-67=135 | -9 row 2 : t1 | craig stadler | united states | 69-66=135 | -9 row 3 : t3 | raymond floyd | united states | 70-68=138 | -6 row 4 : t3 | leonard thompson | united states | 68-70=138 | -6 row 5 : t5 | miller barber | united states | 75-64=139 | -5 row 6 : t5 | tom watson | united states | 68-71=139 | -5 row 7 : t5 | joe inman | united states | 68-71=139 | -5 row 8 : t8 | seve ballesteros | spain | 72-68=140 | -4 row 9 : t8 | jack nicklaus | united states | 69-71=140 | -4 row 10 : t8 | lou graham | united states | 69-71=140 | -4
table_csv/203_251.csv
1
{ "column_index": [ 1 ], "row_index": [ 6 ] }
[ "what are the scores of craig stadler and joe inman?", "who scored higher?" ]
2
joe inman
[ "Place", "Player", "Country", "Score", "To par" ]
who scored higher?
[ [ "T1", "Ed Sneed", "United States", "68-67=135", "-9" ], [ "T1", "Craig Stadler", "United States", "69-66=135", "-9" ], [ "T3", "Raymond Floyd", "United States", "70-68=138", "-6" ], [ "T3", "Leonard Thompson", "United States", "68-70=138", "-6" ], [ "T5", "Miller Barber", "United States", "75-64=139", "-5" ], [ "T5", "Tom Watson", "United States", "68-71=139", "-5" ], [ "T5", "Joe Inman", "United States", "68-71=139", "-5" ], [ "T8", "Seve Ballesteros", "Spain", "72-68=140", "-4" ], [ "T8", "Jack Nicklaus", "United States", "69-71=140", "-4" ], [ "T8", "Lou Graham", "United States", "69-71=140", "-4" ] ]
[ "Joe Inman" ]
who scored higher? || what are the scores of craig stadler and joe inman?
nt-8849
col : affiliation | house members 2000 election results | house members at dissolution | senate members on election day 2000 | senate members at dissolution row 1 : liberal party of canada | 172 | 168 | 55 | 65 row 2 : canadian alliance | 66 | -- | 1 | -- row 3 : bloc quebecois | 38 | 33 | 0 | 0 row 4 : new democratic party | 13 | 14 | 0 | 0 row 5 : progressive conservative | 12 | -- | 35 | -- row 6 : progressive conservative (senate caucus) | -- | -- | -- | 3 row 7 : conservative party of canada | -- | 72 | -- | 24 row 8 : independent | 0 | 10 | 5 | 5 row 9 : total members | 301 | 297 | 96 | 97 row 10 : vacant | 0 | 4 | 9 | 8 row 11 : total seats | 301 | 301 | 105 | 105
table_csv/202_157.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ] }
[ "what were the number of house members for each affiliation?" ]
0
172, 66, 38, 13, 12, --, --, 0, 301, 0, 301
[ "Affiliation", "House Members 2000 Election Results", "House Members At Dissolution", "Senate Members On Election Day 2000", "Senate Members At Dissolution" ]
what were the number of house members for each affiliation?
[ [ "Liberal Party of Canada", "172", "168", "55", "65" ], [ "Canadian Alliance", "66", "--", "1", "--" ], [ "Bloc Quebecois", "38", "33", "0", "0" ], [ "New Democratic Party", "13", "14", "0", "0" ], [ "Progressive Conservative", "12", "--", "35", "--" ], [ "Progressive Conservative (Senate caucus)", "--", "--", "--", "3" ], [ "Conservative Party of Canada", "--", "72", "--", "24" ], [ "Independent", "0", "10", "5", "5" ], [ "Total members", "301", "297", "96", "97" ], [ "vacant", "0", "4", "9", "8" ], [ "Total seats", "301", "301", "105", "105" ] ]
[ "172", "66", "38", "13", "12", "--", "--", "0", "301", "0", "301" ]
what were the number of house members for each affiliation? ||
nt-8849
col : affiliation | house members 2000 election results | house members at dissolution | senate members on election day 2000 | senate members at dissolution row 1 : liberal party of canada | 172 | 168 | 55 | 65 row 2 : canadian alliance | 66 | -- | 1 | -- row 3 : bloc quebecois | 38 | 33 | 0 | 0 row 4 : new democratic party | 13 | 14 | 0 | 0 row 5 : progressive conservative | 12 | -- | 35 | -- row 6 : progressive conservative (senate caucus) | -- | -- | -- | 3 row 7 : conservative party of canada | -- | 72 | -- | 24 row 8 : independent | 0 | 10 | 5 | 5 row 9 : total members | 301 | 297 | 96 | 97 row 10 : vacant | 0 | 4 | 9 | 8 row 11 : total seats | 301 | 301 | 105 | 105
table_csv/202_157.csv
1
{ "column_index": [ 0 ], "row_index": [ 0 ] }
[ "what were the number of house members for each affiliation?", "which party had the most house members?" ]
0
liberal party of canada
[ "Affiliation", "House Members 2000 Election Results", "House Members At Dissolution", "Senate Members On Election Day 2000", "Senate Members At Dissolution" ]
which party had the most house members?
[ [ "Liberal Party of Canada", "172", "168", "55", "65" ], [ "Canadian Alliance", "66", "--", "1", "--" ], [ "Bloc Quebecois", "38", "33", "0", "0" ], [ "New Democratic Party", "13", "14", "0", "0" ], [ "Progressive Conservative", "12", "--", "35", "--" ], [ "Progressive Conservative (Senate caucus)", "--", "--", "--", "3" ], [ "Conservative Party of Canada", "--", "72", "--", "24" ], [ "Independent", "0", "10", "5", "5" ], [ "Total members", "301", "297", "96", "97" ], [ "vacant", "0", "4", "9", "8" ], [ "Total seats", "301", "301", "105", "105" ] ]
[ "Liberal Party of Canada" ]
which party had the most house members? || what were the number of house members for each affiliation?
nt-8849
col : affiliation | house members 2000 election results | house members at dissolution | senate members on election day 2000 | senate members at dissolution row 1 : liberal party of canada | 172 | 168 | 55 | 65 row 2 : canadian alliance | 66 | -- | 1 | -- row 3 : bloc quebecois | 38 | 33 | 0 | 0 row 4 : new democratic party | 13 | 14 | 0 | 0 row 5 : progressive conservative | 12 | -- | 35 | -- row 6 : progressive conservative (senate caucus) | -- | -- | -- | 3 row 7 : conservative party of canada | -- | 72 | -- | 24 row 8 : independent | 0 | 10 | 5 | 5 row 9 : total members | 301 | 297 | 96 | 97 row 10 : vacant | 0 | 4 | 9 | 8 row 11 : total seats | 301 | 301 | 105 | 105
table_csv/202_157.csv
0
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "what was the highest number of house members in any individual party in the canadian parliament in 2000?" ]
1
172
[ "Affiliation", "House Members 2000 Election Results", "House Members At Dissolution", "Senate Members On Election Day 2000", "Senate Members At Dissolution" ]
what was the highest number of house members in any individual party in the canadian parliament in 2000?
[ [ "Liberal Party of Canada", "172", "168", "55", "65" ], [ "Canadian Alliance", "66", "--", "1", "--" ], [ "Bloc Quebecois", "38", "33", "0", "0" ], [ "New Democratic Party", "13", "14", "0", "0" ], [ "Progressive Conservative", "12", "--", "35", "--" ], [ "Progressive Conservative (Senate caucus)", "--", "--", "--", "3" ], [ "Conservative Party of Canada", "--", "72", "--", "24" ], [ "Independent", "0", "10", "5", "5" ], [ "Total members", "301", "297", "96", "97" ], [ "vacant", "0", "4", "9", "8" ], [ "Total seats", "301", "301", "105", "105" ] ]
[ "172" ]
what was the highest number of house members in any individual party in the canadian parliament in 2000? ||
nt-8849
col : affiliation | house members 2000 election results | house members at dissolution | senate members on election day 2000 | senate members at dissolution row 1 : liberal party of canada | 172 | 168 | 55 | 65 row 2 : canadian alliance | 66 | -- | 1 | -- row 3 : bloc quebecois | 38 | 33 | 0 | 0 row 4 : new democratic party | 13 | 14 | 0 | 0 row 5 : progressive conservative | 12 | -- | 35 | -- row 6 : progressive conservative (senate caucus) | -- | -- | -- | 3 row 7 : conservative party of canada | -- | 72 | -- | 24 row 8 : independent | 0 | 10 | 5 | 5 row 9 : total members | 301 | 297 | 96 | 97 row 10 : vacant | 0 | 4 | 9 | 8 row 11 : total seats | 301 | 301 | 105 | 105
table_csv/202_157.csv
1
{ "column_index": [ 0 ], "row_index": [ 0 ] }
[ "what was the highest number of house members in any individual party in the canadian parliament in 2000?", "in 2000, what party had 172 members in the house?" ]
1
liberal party of canada
[ "Affiliation", "House Members 2000 Election Results", "House Members At Dissolution", "Senate Members On Election Day 2000", "Senate Members At Dissolution" ]
in 2000, what party had 172 members in the house?
[ [ "Liberal Party of Canada", "172", "168", "55", "65" ], [ "Canadian Alliance", "66", "--", "1", "--" ], [ "Bloc Quebecois", "38", "33", "0", "0" ], [ "New Democratic Party", "13", "14", "0", "0" ], [ "Progressive Conservative", "12", "--", "35", "--" ], [ "Progressive Conservative (Senate caucus)", "--", "--", "--", "3" ], [ "Conservative Party of Canada", "--", "72", "--", "24" ], [ "Independent", "0", "10", "5", "5" ], [ "Total members", "301", "297", "96", "97" ], [ "vacant", "0", "4", "9", "8" ], [ "Total seats", "301", "301", "105", "105" ] ]
[ "Liberal Party of Canada" ]
in 2000, what party had 172 members in the house? || what was the highest number of house members in any individual party in the canadian parliament in 2000?
nt-8849
col : affiliation | house members 2000 election results | house members at dissolution | senate members on election day 2000 | senate members at dissolution row 1 : liberal party of canada | 172 | 168 | 55 | 65 row 2 : canadian alliance | 66 | -- | 1 | -- row 3 : bloc quebecois | 38 | 33 | 0 | 0 row 4 : new democratic party | 13 | 14 | 0 | 0 row 5 : progressive conservative | 12 | -- | 35 | -- row 6 : progressive conservative (senate caucus) | -- | -- | -- | 3 row 7 : conservative party of canada | -- | 72 | -- | 24 row 8 : independent | 0 | 10 | 5 | 5 row 9 : total members | 301 | 297 | 96 | 97 row 10 : vacant | 0 | 4 | 9 | 8 row 11 : total seats | 301 | 301 | 105 | 105
table_csv/202_157.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what are all of the affiliations?" ]
2
liberal party of canada, canadian alliance, bloc quebecois, new democratic party, progressive conservative, progressive conservative (senate caucus), conservative party of canada, independent, total members, vacant
[ "Affiliation", "House Members 2000 Election Results", "House Members At Dissolution", "Senate Members On Election Day 2000", "Senate Members At Dissolution" ]
what are all of the affiliations?
[ [ "Liberal Party of Canada", "172", "168", "55", "65" ], [ "Canadian Alliance", "66", "--", "1", "--" ], [ "Bloc Quebecois", "38", "33", "0", "0" ], [ "New Democratic Party", "13", "14", "0", "0" ], [ "Progressive Conservative", "12", "--", "35", "--" ], [ "Progressive Conservative (Senate caucus)", "--", "--", "--", "3" ], [ "Conservative Party of Canada", "--", "72", "--", "24" ], [ "Independent", "0", "10", "5", "5" ], [ "Total members", "301", "297", "96", "97" ], [ "vacant", "0", "4", "9", "8" ], [ "Total seats", "301", "301", "105", "105" ] ]
[ "Liberal Party of Canada", "Canadian Alliance", "Bloc Quebecois", "New Democratic Party", "Progressive Conservative", "Progressive Conservative (Senate caucus)", "Conservative Party of Canada", "Independent", "Total members", "vacant" ]
what are all of the affiliations? ||
nt-8849
col : affiliation | house members 2000 election results | house members at dissolution | senate members on election day 2000 | senate members at dissolution row 1 : liberal party of canada | 172 | 168 | 55 | 65 row 2 : canadian alliance | 66 | -- | 1 | -- row 3 : bloc quebecois | 38 | 33 | 0 | 0 row 4 : new democratic party | 13 | 14 | 0 | 0 row 5 : progressive conservative | 12 | -- | 35 | -- row 6 : progressive conservative (senate caucus) | -- | -- | -- | 3 row 7 : conservative party of canada | -- | 72 | -- | 24 row 8 : independent | 0 | 10 | 5 | 5 row 9 : total members | 301 | 297 | 96 | 97 row 10 : vacant | 0 | 4 | 9 | 8 row 11 : total seats | 301 | 301 | 105 | 105
table_csv/202_157.csv
1
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what are all of the affiliations?", "how many house members did each have in the 2000 election?" ]
2
172, 66, 38, 13, 12, --, --, 0, 301, 0
[ "Affiliation", "House Members 2000 Election Results", "House Members At Dissolution", "Senate Members On Election Day 2000", "Senate Members At Dissolution" ]
how many house members did each have in the 2000 election?
[ [ "Liberal Party of Canada", "172", "168", "55", "65" ], [ "Canadian Alliance", "66", "--", "1", "--" ], [ "Bloc Quebecois", "38", "33", "0", "0" ], [ "New Democratic Party", "13", "14", "0", "0" ], [ "Progressive Conservative", "12", "--", "35", "--" ], [ "Progressive Conservative (Senate caucus)", "--", "--", "--", "3" ], [ "Conservative Party of Canada", "--", "72", "--", "24" ], [ "Independent", "0", "10", "5", "5" ], [ "Total members", "301", "297", "96", "97" ], [ "vacant", "0", "4", "9", "8" ], [ "Total seats", "301", "301", "105", "105" ] ]
[ "172", "66", "38", "13", "12", "--", "--", "0", "301", "0" ]
how many house members did each have in the 2000 election? || what are all of the affiliations?
nt-8849
col : affiliation | house members 2000 election results | house members at dissolution | senate members on election day 2000 | senate members at dissolution row 1 : liberal party of canada | 172 | 168 | 55 | 65 row 2 : canadian alliance | 66 | -- | 1 | -- row 3 : bloc quebecois | 38 | 33 | 0 | 0 row 4 : new democratic party | 13 | 14 | 0 | 0 row 5 : progressive conservative | 12 | -- | 35 | -- row 6 : progressive conservative (senate caucus) | -- | -- | -- | 3 row 7 : conservative party of canada | -- | 72 | -- | 24 row 8 : independent | 0 | 10 | 5 | 5 row 9 : total members | 301 | 297 | 96 | 97 row 10 : vacant | 0 | 4 | 9 | 8 row 11 : total seats | 301 | 301 | 105 | 105
table_csv/202_157.csv
2
{ "column_index": [ 0 ], "row_index": [ 0 ] }
[ "what are all of the affiliations?", "how many house members did each have in the 2000 election?", "and of those, which party had the most?" ]
2
liberal party of canada
[ "Affiliation", "House Members 2000 Election Results", "House Members At Dissolution", "Senate Members On Election Day 2000", "Senate Members At Dissolution" ]
and of those, which party had the most?
[ [ "Liberal Party of Canada", "172", "168", "55", "65" ], [ "Canadian Alliance", "66", "--", "1", "--" ], [ "Bloc Quebecois", "38", "33", "0", "0" ], [ "New Democratic Party", "13", "14", "0", "0" ], [ "Progressive Conservative", "12", "--", "35", "--" ], [ "Progressive Conservative (Senate caucus)", "--", "--", "--", "3" ], [ "Conservative Party of Canada", "--", "72", "--", "24" ], [ "Independent", "0", "10", "5", "5" ], [ "Total members", "301", "297", "96", "97" ], [ "vacant", "0", "4", "9", "8" ], [ "Total seats", "301", "301", "105", "105" ] ]
[ "Liberal Party of Canada" ]
and of those, which party had the most? || how many house members did each have in the 2000 election? | what are all of the affiliations?
nt-7489
col : name | armenian | location | # of prisoners designed for | notes row 1 : nubarashen | <<nowbarashen>> | nubarashen, yerevan | 840 | nan row 2 : kosh | <<kosh>> | kosh, aragatsotn | 640 | nan row 3 : sevan | <<sewan>> | hrazdan, kotayk | 548 | nan row 4 : prison hospital | <<datapartyalneri hivandanots`> | kentron, yerevan | 464 | nan row 5 : erebuni | <<erebowni>> | nubarashen, yerevan | 391 | nan row 6 : artik | <<art`ik>> | harich, shirak | 373 | nan row 7 : abovyan | <<abovyan>> | abovyan, kotayk | 250 | for women and minors row 8 : vanadzor | <<vanadzor>> | vanadzor, lori | 245 | nan row 9 : goris | <<goris>> | goris, syunik | 215 | nan row 10 : hrazdan | <<hrazdan>> | hrazdan, kotayk | 215 | nan row 11 : vardashen | <<vardashen>> | nubarashen, yerevan | 150 | for former policemen and military officers row 12 : yerevan-center | <<erewan-kentron>> | kentron, yerevan | 60 | nan row 13 : total | total | total | 4,391 | nan
table_csv/204_414.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ] }
[ "what are all the correctional facilities in armenia?" ]
0
nubarashen, kosh, sevan, prison hospital, erebuni, artik, abovyan, vanadzor, goris, hrazdan, vardashen, yerevan-center
[ "Name", "Armenian", "Location", "# of prisoners designed for", "Notes" ]
what are all the correctional facilities in armenia?
[ [ "Nubarashen", "<<Nowbarashen>>", "Nubarashen, Yerevan", "840", "nan" ], [ "Kosh", "<<Kosh>>", "Kosh, Aragatsotn", "640", "nan" ], [ "Sevan", "<<Sewan>>", "Hrazdan, Kotayk", "548", "nan" ], [ "Prison Hospital", "<<Datapartyalneri hivandanots`>", "Kentron, Yerevan", "464", "nan" ], [ "Erebuni", "<<Erebowni>>", "Nubarashen, Yerevan", "391", "nan" ], [ "Artik", "<<Art`ik>>", "Harich, Shirak", "373", "nan" ], [ "Abovyan", "<<Abovyan>>", "Abovyan, Kotayk", "250", "For women and minors" ], [ "Vanadzor", "<<Vanadzor>>", "Vanadzor, Lori", "245", "nan" ], [ "Goris", "<<Goris>>", "Goris, Syunik", "215", "nan" ], [ "Hrazdan", "<<Hrazdan>>", "Hrazdan, Kotayk", "215", "nan" ], [ "Vardashen", "<<Vardashen>>", "Nubarashen, Yerevan", "150", "For former policemen and military officers" ], [ "Yerevan-Center", "<<Erewan-Kentron>>", "Kentron, Yerevan", "60", "nan" ], [ "TOTAL", "TOTAL", "TOTAL", "4,391", "nan" ] ]
[ "Nubarashen", "Kosh", "Sevan", "Prison Hospital", "Erebuni", "Artik", "Abovyan", "Vanadzor", "Goris", "Hrazdan", "Vardashen", "Yerevan-Center" ]
what are all the correctional facilities in armenia? ||
nt-7489
col : name | armenian | location | # of prisoners designed for | notes row 1 : nubarashen | <<nowbarashen>> | nubarashen, yerevan | 840 | nan row 2 : kosh | <<kosh>> | kosh, aragatsotn | 640 | nan row 3 : sevan | <<sewan>> | hrazdan, kotayk | 548 | nan row 4 : prison hospital | <<datapartyalneri hivandanots`> | kentron, yerevan | 464 | nan row 5 : erebuni | <<erebowni>> | nubarashen, yerevan | 391 | nan row 6 : artik | <<art`ik>> | harich, shirak | 373 | nan row 7 : abovyan | <<abovyan>> | abovyan, kotayk | 250 | for women and minors row 8 : vanadzor | <<vanadzor>> | vanadzor, lori | 245 | nan row 9 : goris | <<goris>> | goris, syunik | 215 | nan row 10 : hrazdan | <<hrazdan>> | hrazdan, kotayk | 215 | nan row 11 : vardashen | <<vardashen>> | nubarashen, yerevan | 150 | for former policemen and military officers row 12 : yerevan-center | <<erewan-kentron>> | kentron, yerevan | 60 | nan row 13 : total | total | total | 4,391 | nan
table_csv/204_414.csv
1
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ] }
[ "what are all the correctional facilities in armenia?", "what are their associated notes?" ]
0
, , , , , , for women and minors, , , , for former policemen and military officers, ,
[ "Name", "Armenian", "Location", "# of prisoners designed for", "Notes" ]
what are their associated notes?
[ [ "Nubarashen", "<<Nowbarashen>>", "Nubarashen, Yerevan", "840", "nan" ], [ "Kosh", "<<Kosh>>", "Kosh, Aragatsotn", "640", "nan" ], [ "Sevan", "<<Sewan>>", "Hrazdan, Kotayk", "548", "nan" ], [ "Prison Hospital", "<<Datapartyalneri hivandanots`>", "Kentron, Yerevan", "464", "nan" ], [ "Erebuni", "<<Erebowni>>", "Nubarashen, Yerevan", "391", "nan" ], [ "Artik", "<<Art`ik>>", "Harich, Shirak", "373", "nan" ], [ "Abovyan", "<<Abovyan>>", "Abovyan, Kotayk", "250", "For women and minors" ], [ "Vanadzor", "<<Vanadzor>>", "Vanadzor, Lori", "245", "nan" ], [ "Goris", "<<Goris>>", "Goris, Syunik", "215", "nan" ], [ "Hrazdan", "<<Hrazdan>>", "Hrazdan, Kotayk", "215", "nan" ], [ "Vardashen", "<<Vardashen>>", "Nubarashen, Yerevan", "150", "For former policemen and military officers" ], [ "Yerevan-Center", "<<Erewan-Kentron>>", "Kentron, Yerevan", "60", "nan" ], [ "TOTAL", "TOTAL", "TOTAL", "4,391", "nan" ] ]
[ "", "", "", "", "", "", "For women and minors", "", "", "", "For former policemen and military officers", "", "" ]
what are their associated notes? || what are all the correctional facilities in armenia?
nt-7489
col : name | armenian | location | # of prisoners designed for | notes row 1 : nubarashen | <<nowbarashen>> | nubarashen, yerevan | 840 | nan row 2 : kosh | <<kosh>> | kosh, aragatsotn | 640 | nan row 3 : sevan | <<sewan>> | hrazdan, kotayk | 548 | nan row 4 : prison hospital | <<datapartyalneri hivandanots`> | kentron, yerevan | 464 | nan row 5 : erebuni | <<erebowni>> | nubarashen, yerevan | 391 | nan row 6 : artik | <<art`ik>> | harich, shirak | 373 | nan row 7 : abovyan | <<abovyan>> | abovyan, kotayk | 250 | for women and minors row 8 : vanadzor | <<vanadzor>> | vanadzor, lori | 245 | nan row 9 : goris | <<goris>> | goris, syunik | 215 | nan row 10 : hrazdan | <<hrazdan>> | hrazdan, kotayk | 215 | nan row 11 : vardashen | <<vardashen>> | nubarashen, yerevan | 150 | for former policemen and military officers row 12 : yerevan-center | <<erewan-kentron>> | kentron, yerevan | 60 | nan row 13 : total | total | total | 4,391 | nan
table_csv/204_414.csv
2
{ "column_index": [ 0 ], "row_index": [ 10 ] }
[ "what are all the correctional facilities in armenia?", "what are their associated notes?", "and which prison's notes mention former policemen?" ]
0
vardashen
[ "Name", "Armenian", "Location", "# of prisoners designed for", "Notes" ]
and which prison's notes mention former policemen?
[ [ "Nubarashen", "<<Nowbarashen>>", "Nubarashen, Yerevan", "840", "nan" ], [ "Kosh", "<<Kosh>>", "Kosh, Aragatsotn", "640", "nan" ], [ "Sevan", "<<Sewan>>", "Hrazdan, Kotayk", "548", "nan" ], [ "Prison Hospital", "<<Datapartyalneri hivandanots`>", "Kentron, Yerevan", "464", "nan" ], [ "Erebuni", "<<Erebowni>>", "Nubarashen, Yerevan", "391", "nan" ], [ "Artik", "<<Art`ik>>", "Harich, Shirak", "373", "nan" ], [ "Abovyan", "<<Abovyan>>", "Abovyan, Kotayk", "250", "For women and minors" ], [ "Vanadzor", "<<Vanadzor>>", "Vanadzor, Lori", "245", "nan" ], [ "Goris", "<<Goris>>", "Goris, Syunik", "215", "nan" ], [ "Hrazdan", "<<Hrazdan>>", "Hrazdan, Kotayk", "215", "nan" ], [ "Vardashen", "<<Vardashen>>", "Nubarashen, Yerevan", "150", "For former policemen and military officers" ], [ "Yerevan-Center", "<<Erewan-Kentron>>", "Kentron, Yerevan", "60", "nan" ], [ "TOTAL", "TOTAL", "TOTAL", "4,391", "nan" ] ]
[ "Vardashen" ]
and which prison's notes mention former policemen? || what are their associated notes? | what are all the correctional facilities in armenia?
nt-7489
col : name | armenian | location | # of prisoners designed for | notes row 1 : nubarashen | <<nowbarashen>> | nubarashen, yerevan | 840 | nan row 2 : kosh | <<kosh>> | kosh, aragatsotn | 640 | nan row 3 : sevan | <<sewan>> | hrazdan, kotayk | 548 | nan row 4 : prison hospital | <<datapartyalneri hivandanots`> | kentron, yerevan | 464 | nan row 5 : erebuni | <<erebowni>> | nubarashen, yerevan | 391 | nan row 6 : artik | <<art`ik>> | harich, shirak | 373 | nan row 7 : abovyan | <<abovyan>> | abovyan, kotayk | 250 | for women and minors row 8 : vanadzor | <<vanadzor>> | vanadzor, lori | 245 | nan row 9 : goris | <<goris>> | goris, syunik | 215 | nan row 10 : hrazdan | <<hrazdan>> | hrazdan, kotayk | 215 | nan row 11 : vardashen | <<vardashen>> | nubarashen, yerevan | 150 | for former policemen and military officers row 12 : yerevan-center | <<erewan-kentron>> | kentron, yerevan | 60 | nan row 13 : total | total | total | 4,391 | nan
table_csv/204_414.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ] }
[ "what are all of the correctional facilities names?" ]
1
nubarashen, kosh, sevan, prison hospital, erebuni, artik, abovyan, vanadzor, goris, hrazdan, vardashen, yerevan-center
[ "Name", "Armenian", "Location", "# of prisoners designed for", "Notes" ]
what are all of the correctional facilities names?
[ [ "Nubarashen", "<<Nowbarashen>>", "Nubarashen, Yerevan", "840", "nan" ], [ "Kosh", "<<Kosh>>", "Kosh, Aragatsotn", "640", "nan" ], [ "Sevan", "<<Sewan>>", "Hrazdan, Kotayk", "548", "nan" ], [ "Prison Hospital", "<<Datapartyalneri hivandanots`>", "Kentron, Yerevan", "464", "nan" ], [ "Erebuni", "<<Erebowni>>", "Nubarashen, Yerevan", "391", "nan" ], [ "Artik", "<<Art`ik>>", "Harich, Shirak", "373", "nan" ], [ "Abovyan", "<<Abovyan>>", "Abovyan, Kotayk", "250", "For women and minors" ], [ "Vanadzor", "<<Vanadzor>>", "Vanadzor, Lori", "245", "nan" ], [ "Goris", "<<Goris>>", "Goris, Syunik", "215", "nan" ], [ "Hrazdan", "<<Hrazdan>>", "Hrazdan, Kotayk", "215", "nan" ], [ "Vardashen", "<<Vardashen>>", "Nubarashen, Yerevan", "150", "For former policemen and military officers" ], [ "Yerevan-Center", "<<Erewan-Kentron>>", "Kentron, Yerevan", "60", "nan" ], [ "TOTAL", "TOTAL", "TOTAL", "4,391", "nan" ] ]
[ "Nubarashen", "Kosh", "Sevan", "Prison Hospital", "Erebuni", "Artik", "Abovyan", "Vanadzor", "Goris", "Hrazdan", "Vardashen", "Yerevan-Center" ]
what are all of the correctional facilities names? ||
nt-7489
col : name | armenian | location | # of prisoners designed for | notes row 1 : nubarashen | <<nowbarashen>> | nubarashen, yerevan | 840 | nan row 2 : kosh | <<kosh>> | kosh, aragatsotn | 640 | nan row 3 : sevan | <<sewan>> | hrazdan, kotayk | 548 | nan row 4 : prison hospital | <<datapartyalneri hivandanots`> | kentron, yerevan | 464 | nan row 5 : erebuni | <<erebowni>> | nubarashen, yerevan | 391 | nan row 6 : artik | <<art`ik>> | harich, shirak | 373 | nan row 7 : abovyan | <<abovyan>> | abovyan, kotayk | 250 | for women and minors row 8 : vanadzor | <<vanadzor>> | vanadzor, lori | 245 | nan row 9 : goris | <<goris>> | goris, syunik | 215 | nan row 10 : hrazdan | <<hrazdan>> | hrazdan, kotayk | 215 | nan row 11 : vardashen | <<vardashen>> | nubarashen, yerevan | 150 | for former policemen and military officers row 12 : yerevan-center | <<erewan-kentron>> | kentron, yerevan | 60 | nan row 13 : total | total | total | 4,391 | nan
table_csv/204_414.csv
1
{ "column_index": [ 0 ], "row_index": [ 6 ] }
[ "what are all of the correctional facilities names?", "which is for women and minors?" ]
1
abovyan
[ "Name", "Armenian", "Location", "# of prisoners designed for", "Notes" ]
which is for women and minors?
[ [ "Nubarashen", "<<Nowbarashen>>", "Nubarashen, Yerevan", "840", "nan" ], [ "Kosh", "<<Kosh>>", "Kosh, Aragatsotn", "640", "nan" ], [ "Sevan", "<<Sewan>>", "Hrazdan, Kotayk", "548", "nan" ], [ "Prison Hospital", "<<Datapartyalneri hivandanots`>", "Kentron, Yerevan", "464", "nan" ], [ "Erebuni", "<<Erebowni>>", "Nubarashen, Yerevan", "391", "nan" ], [ "Artik", "<<Art`ik>>", "Harich, Shirak", "373", "nan" ], [ "Abovyan", "<<Abovyan>>", "Abovyan, Kotayk", "250", "For women and minors" ], [ "Vanadzor", "<<Vanadzor>>", "Vanadzor, Lori", "245", "nan" ], [ "Goris", "<<Goris>>", "Goris, Syunik", "215", "nan" ], [ "Hrazdan", "<<Hrazdan>>", "Hrazdan, Kotayk", "215", "nan" ], [ "Vardashen", "<<Vardashen>>", "Nubarashen, Yerevan", "150", "For former policemen and military officers" ], [ "Yerevan-Center", "<<Erewan-Kentron>>", "Kentron, Yerevan", "60", "nan" ], [ "TOTAL", "TOTAL", "TOTAL", "4,391", "nan" ] ]
[ "Abovyan" ]
which is for women and minors? || what are all of the correctional facilities names?
nt-7489
col : name | armenian | location | # of prisoners designed for | notes row 1 : nubarashen | <<nowbarashen>> | nubarashen, yerevan | 840 | nan row 2 : kosh | <<kosh>> | kosh, aragatsotn | 640 | nan row 3 : sevan | <<sewan>> | hrazdan, kotayk | 548 | nan row 4 : prison hospital | <<datapartyalneri hivandanots`> | kentron, yerevan | 464 | nan row 5 : erebuni | <<erebowni>> | nubarashen, yerevan | 391 | nan row 6 : artik | <<art`ik>> | harich, shirak | 373 | nan row 7 : abovyan | <<abovyan>> | abovyan, kotayk | 250 | for women and minors row 8 : vanadzor | <<vanadzor>> | vanadzor, lori | 245 | nan row 9 : goris | <<goris>> | goris, syunik | 215 | nan row 10 : hrazdan | <<hrazdan>> | hrazdan, kotayk | 215 | nan row 11 : vardashen | <<vardashen>> | nubarashen, yerevan | 150 | for former policemen and military officers row 12 : yerevan-center | <<erewan-kentron>> | kentron, yerevan | 60 | nan row 13 : total | total | total | 4,391 | nan
table_csv/204_414.csv
2
{ "column_index": [ 0 ], "row_index": [ 10 ] }
[ "what are all of the correctional facilities names?", "which is for women and minors?", "which is for former police and military?" ]
1
vardashen
[ "Name", "Armenian", "Location", "# of prisoners designed for", "Notes" ]
which is for former police and military?
[ [ "Nubarashen", "<<Nowbarashen>>", "Nubarashen, Yerevan", "840", "nan" ], [ "Kosh", "<<Kosh>>", "Kosh, Aragatsotn", "640", "nan" ], [ "Sevan", "<<Sewan>>", "Hrazdan, Kotayk", "548", "nan" ], [ "Prison Hospital", "<<Datapartyalneri hivandanots`>", "Kentron, Yerevan", "464", "nan" ], [ "Erebuni", "<<Erebowni>>", "Nubarashen, Yerevan", "391", "nan" ], [ "Artik", "<<Art`ik>>", "Harich, Shirak", "373", "nan" ], [ "Abovyan", "<<Abovyan>>", "Abovyan, Kotayk", "250", "For women and minors" ], [ "Vanadzor", "<<Vanadzor>>", "Vanadzor, Lori", "245", "nan" ], [ "Goris", "<<Goris>>", "Goris, Syunik", "215", "nan" ], [ "Hrazdan", "<<Hrazdan>>", "Hrazdan, Kotayk", "215", "nan" ], [ "Vardashen", "<<Vardashen>>", "Nubarashen, Yerevan", "150", "For former policemen and military officers" ], [ "Yerevan-Center", "<<Erewan-Kentron>>", "Kentron, Yerevan", "60", "nan" ], [ "TOTAL", "TOTAL", "TOTAL", "4,391", "nan" ] ]
[ "Vardashen" ]
which is for former police and military? || which is for women and minors? | what are all of the correctional facilities names?
nt-7489
col : name | armenian | location | # of prisoners designed for | notes row 1 : nubarashen | <<nowbarashen>> | nubarashen, yerevan | 840 | nan row 2 : kosh | <<kosh>> | kosh, aragatsotn | 640 | nan row 3 : sevan | <<sewan>> | hrazdan, kotayk | 548 | nan row 4 : prison hospital | <<datapartyalneri hivandanots`> | kentron, yerevan | 464 | nan row 5 : erebuni | <<erebowni>> | nubarashen, yerevan | 391 | nan row 6 : artik | <<art`ik>> | harich, shirak | 373 | nan row 7 : abovyan | <<abovyan>> | abovyan, kotayk | 250 | for women and minors row 8 : vanadzor | <<vanadzor>> | vanadzor, lori | 245 | nan row 9 : goris | <<goris>> | goris, syunik | 215 | nan row 10 : hrazdan | <<hrazdan>> | hrazdan, kotayk | 215 | nan row 11 : vardashen | <<vardashen>> | nubarashen, yerevan | 150 | for former policemen and military officers row 12 : yerevan-center | <<erewan-kentron>> | kentron, yerevan | 60 | nan row 13 : total | total | total | 4,391 | nan
table_csv/204_414.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 4, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 6, 7, 8, 9, 10, 10, 11 ] }
[ "what prisons are there?" ]
2
nubarashen, kosh, sevan, prison hospital, erebuni, artik, abovyan, for women and minors, vanadzor, goris, hrazdan, vardashen, for former policemen and military officers, yerevan-center
[ "Name", "Armenian", "Location", "# of prisoners designed for", "Notes" ]
what prisons are there?
[ [ "Nubarashen", "<<Nowbarashen>>", "Nubarashen, Yerevan", "840", "nan" ], [ "Kosh", "<<Kosh>>", "Kosh, Aragatsotn", "640", "nan" ], [ "Sevan", "<<Sewan>>", "Hrazdan, Kotayk", "548", "nan" ], [ "Prison Hospital", "<<Datapartyalneri hivandanots`>", "Kentron, Yerevan", "464", "nan" ], [ "Erebuni", "<<Erebowni>>", "Nubarashen, Yerevan", "391", "nan" ], [ "Artik", "<<Art`ik>>", "Harich, Shirak", "373", "nan" ], [ "Abovyan", "<<Abovyan>>", "Abovyan, Kotayk", "250", "For women and minors" ], [ "Vanadzor", "<<Vanadzor>>", "Vanadzor, Lori", "245", "nan" ], [ "Goris", "<<Goris>>", "Goris, Syunik", "215", "nan" ], [ "Hrazdan", "<<Hrazdan>>", "Hrazdan, Kotayk", "215", "nan" ], [ "Vardashen", "<<Vardashen>>", "Nubarashen, Yerevan", "150", "For former policemen and military officers" ], [ "Yerevan-Center", "<<Erewan-Kentron>>", "Kentron, Yerevan", "60", "nan" ], [ "TOTAL", "TOTAL", "TOTAL", "4,391", "nan" ] ]
[ "Nubarashen", "Kosh", "Sevan", "Prison Hospital", "Erebuni", "Artik", "Abovyan", "For women and minors", "Vanadzor", "Goris", "Hrazdan", "Vardashen", "For former policemen and military officers", "Yerevan-Center" ]
what prisons are there? ||
nt-7489
col : name | armenian | location | # of prisoners designed for | notes row 1 : nubarashen | <<nowbarashen>> | nubarashen, yerevan | 840 | nan row 2 : kosh | <<kosh>> | kosh, aragatsotn | 640 | nan row 3 : sevan | <<sewan>> | hrazdan, kotayk | 548 | nan row 4 : prison hospital | <<datapartyalneri hivandanots`> | kentron, yerevan | 464 | nan row 5 : erebuni | <<erebowni>> | nubarashen, yerevan | 391 | nan row 6 : artik | <<art`ik>> | harich, shirak | 373 | nan row 7 : abovyan | <<abovyan>> | abovyan, kotayk | 250 | for women and minors row 8 : vanadzor | <<vanadzor>> | vanadzor, lori | 245 | nan row 9 : goris | <<goris>> | goris, syunik | 215 | nan row 10 : hrazdan | <<hrazdan>> | hrazdan, kotayk | 215 | nan row 11 : vardashen | <<vardashen>> | nubarashen, yerevan | 150 | for former policemen and military officers row 12 : yerevan-center | <<erewan-kentron>> | kentron, yerevan | 60 | nan row 13 : total | total | total | 4,391 | nan
table_csv/204_414.csv
1
{ "column_index": [ 0, 4 ], "row_index": [ 10, 10 ] }
[ "what prisons are there?", "which one is for former policemen?" ]
2
vardashen, for former policemen and military officers
[ "Name", "Armenian", "Location", "# of prisoners designed for", "Notes" ]
which one is for former policemen?
[ [ "Nubarashen", "<<Nowbarashen>>", "Nubarashen, Yerevan", "840", "nan" ], [ "Kosh", "<<Kosh>>", "Kosh, Aragatsotn", "640", "nan" ], [ "Sevan", "<<Sewan>>", "Hrazdan, Kotayk", "548", "nan" ], [ "Prison Hospital", "<<Datapartyalneri hivandanots`>", "Kentron, Yerevan", "464", "nan" ], [ "Erebuni", "<<Erebowni>>", "Nubarashen, Yerevan", "391", "nan" ], [ "Artik", "<<Art`ik>>", "Harich, Shirak", "373", "nan" ], [ "Abovyan", "<<Abovyan>>", "Abovyan, Kotayk", "250", "For women and minors" ], [ "Vanadzor", "<<Vanadzor>>", "Vanadzor, Lori", "245", "nan" ], [ "Goris", "<<Goris>>", "Goris, Syunik", "215", "nan" ], [ "Hrazdan", "<<Hrazdan>>", "Hrazdan, Kotayk", "215", "nan" ], [ "Vardashen", "<<Vardashen>>", "Nubarashen, Yerevan", "150", "For former policemen and military officers" ], [ "Yerevan-Center", "<<Erewan-Kentron>>", "Kentron, Yerevan", "60", "nan" ], [ "TOTAL", "TOTAL", "TOTAL", "4,391", "nan" ] ]
[ "Vardashen", "For former policemen and military officers" ]
which one is for former policemen? || what prisons are there?
nt-7489
col : name | armenian | location | # of prisoners designed for | notes row 1 : nubarashen | <<nowbarashen>> | nubarashen, yerevan | 840 | nan row 2 : kosh | <<kosh>> | kosh, aragatsotn | 640 | nan row 3 : sevan | <<sewan>> | hrazdan, kotayk | 548 | nan row 4 : prison hospital | <<datapartyalneri hivandanots`> | kentron, yerevan | 464 | nan row 5 : erebuni | <<erebowni>> | nubarashen, yerevan | 391 | nan row 6 : artik | <<art`ik>> | harich, shirak | 373 | nan row 7 : abovyan | <<abovyan>> | abovyan, kotayk | 250 | for women and minors row 8 : vanadzor | <<vanadzor>> | vanadzor, lori | 245 | nan row 9 : goris | <<goris>> | goris, syunik | 215 | nan row 10 : hrazdan | <<hrazdan>> | hrazdan, kotayk | 215 | nan row 11 : vardashen | <<vardashen>> | nubarashen, yerevan | 150 | for former policemen and military officers row 12 : yerevan-center | <<erewan-kentron>> | kentron, yerevan | 60 | nan row 13 : total | total | total | 4,391 | nan
table_csv/204_414.csv
2
{ "column_index": [ 0 ], "row_index": [ 10 ] }
[ "what prisons are there?", "which one is for former policemen?", "which facility is it?" ]
2
vardashen
[ "Name", "Armenian", "Location", "# of prisoners designed for", "Notes" ]
which facility is it?
[ [ "Nubarashen", "<<Nowbarashen>>", "Nubarashen, Yerevan", "840", "nan" ], [ "Kosh", "<<Kosh>>", "Kosh, Aragatsotn", "640", "nan" ], [ "Sevan", "<<Sewan>>", "Hrazdan, Kotayk", "548", "nan" ], [ "Prison Hospital", "<<Datapartyalneri hivandanots`>", "Kentron, Yerevan", "464", "nan" ], [ "Erebuni", "<<Erebowni>>", "Nubarashen, Yerevan", "391", "nan" ], [ "Artik", "<<Art`ik>>", "Harich, Shirak", "373", "nan" ], [ "Abovyan", "<<Abovyan>>", "Abovyan, Kotayk", "250", "For women and minors" ], [ "Vanadzor", "<<Vanadzor>>", "Vanadzor, Lori", "245", "nan" ], [ "Goris", "<<Goris>>", "Goris, Syunik", "215", "nan" ], [ "Hrazdan", "<<Hrazdan>>", "Hrazdan, Kotayk", "215", "nan" ], [ "Vardashen", "<<Vardashen>>", "Nubarashen, Yerevan", "150", "For former policemen and military officers" ], [ "Yerevan-Center", "<<Erewan-Kentron>>", "Kentron, Yerevan", "60", "nan" ], [ "TOTAL", "TOTAL", "TOTAL", "4,391", "nan" ] ]
[ "Vardashen" ]
which facility is it? || which one is for former policemen? | what prisons are there?
ns-1350
col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 row 8 : 7 | kazakhstan | 0 | 0 | 1 | 1 row 9 : 7 | syria | 0 | 0 | 1 | 1 row 10 : total | total | 15 | 13 | 15 | 43
table_csv/204_320.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8 ] }
[ "what are all of the countries who participated in the 2006 asian artistic gymnastics championships?" ]
0
china, north korea, japan, chinese taipei, hong kong, south korea, india, kazakhstan, syria
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what are all of the countries who participated in the 2006 asian artistic gymnastics championships?
[ [ "1", "China", "10", "5", "1", "16" ], [ "2", "North Korea", "3", "3", "4", "10" ], [ "3", "Japan", "1", "3", "3", "7" ], [ "4", "Chinese Taipei", "1", "1", "1", "3" ], [ "5", "Hong Kong", "0", "1", "0", "1" ], [ "6", "South Korea", "0", "0", "3", "3" ], [ "7", "India", "0", "0", "1", "1" ], [ "7", "Kazakhstan", "0", "0", "1", "1" ], [ "7", "Syria", "0", "0", "1", "1" ], [ "Total", "Total", "15", "13", "15", "43" ] ]
[ "China", "North Korea", "Japan", "Chinese Taipei", "Hong Kong", "South Korea", "India", "Kazakhstan", "Syria" ]
what are all of the countries who participated in the 2006 asian artistic gymnastics championships? ||
ns-1350
col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 row 8 : 7 | kazakhstan | 0 | 0 | 1 | 1 row 9 : 7 | syria | 0 | 0 | 1 | 1 row 10 : total | total | 15 | 13 | 15 | 43
table_csv/204_320.csv
1
{ "column_index": [ 1, 1, 1 ], "row_index": [ 0, 3, 4 ] }
[ "what are all of the countries who participated in the 2006 asian artistic gymnastics championships?", "which ones speak primarily chinese?" ]
0
china, chinese taipei, hong kong
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which ones speak primarily chinese?
[ [ "1", "China", "10", "5", "1", "16" ], [ "2", "North Korea", "3", "3", "4", "10" ], [ "3", "Japan", "1", "3", "3", "7" ], [ "4", "Chinese Taipei", "1", "1", "1", "3" ], [ "5", "Hong Kong", "0", "1", "0", "1" ], [ "6", "South Korea", "0", "0", "3", "3" ], [ "7", "India", "0", "0", "1", "1" ], [ "7", "Kazakhstan", "0", "0", "1", "1" ], [ "7", "Syria", "0", "0", "1", "1" ], [ "Total", "Total", "15", "13", "15", "43" ] ]
[ "China", "Chinese Taipei", "Hong Kong" ]
which ones speak primarily chinese? || what are all of the countries who participated in the 2006 asian artistic gymnastics championships?
ns-1350
col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 row 8 : 7 | kazakhstan | 0 | 0 | 1 | 1 row 9 : 7 | syria | 0 | 0 | 1 | 1 row 10 : total | total | 15 | 13 | 15 | 43
table_csv/204_320.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "what are all of the countries who participated in the 2006 asian artistic gymnastics championships?", "which ones speak primarily chinese?", "of those, how many have more than 4 silver medals?" ]
0
china
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
of those, how many have more than 4 silver medals?
[ [ "1", "China", "10", "5", "1", "16" ], [ "2", "North Korea", "3", "3", "4", "10" ], [ "3", "Japan", "1", "3", "3", "7" ], [ "4", "Chinese Taipei", "1", "1", "1", "3" ], [ "5", "Hong Kong", "0", "1", "0", "1" ], [ "6", "South Korea", "0", "0", "3", "3" ], [ "7", "India", "0", "0", "1", "1" ], [ "7", "Kazakhstan", "0", "0", "1", "1" ], [ "7", "Syria", "0", "0", "1", "1" ], [ "Total", "Total", "15", "13", "15", "43" ] ]
[ "China" ]
of those, how many have more than 4 silver medals? || which ones speak primarily chinese? | what are all of the countries who participated in the 2006 asian artistic gymnastics championships?
ns-1350
col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 row 8 : 7 | kazakhstan | 0 | 0 | 1 | 1 row 9 : 7 | syria | 0 | 0 | 1 | 1 row 10 : total | total | 15 | 13 | 15 | 43
table_csv/204_320.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8 ] }
[ "what nations played in the games?" ]
1
china, north korea, japan, chinese taipei, hong kong, south korea, india, kazakhstan, syria
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what nations played in the games?
[ [ "1", "China", "10", "5", "1", "16" ], [ "2", "North Korea", "3", "3", "4", "10" ], [ "3", "Japan", "1", "3", "3", "7" ], [ "4", "Chinese Taipei", "1", "1", "1", "3" ], [ "5", "Hong Kong", "0", "1", "0", "1" ], [ "6", "South Korea", "0", "0", "3", "3" ], [ "7", "India", "0", "0", "1", "1" ], [ "7", "Kazakhstan", "0", "0", "1", "1" ], [ "7", "Syria", "0", "0", "1", "1" ], [ "Total", "Total", "15", "13", "15", "43" ] ]
[ "China", "North Korea", "Japan", "Chinese Taipei", "Hong Kong", "South Korea", "India", "Kazakhstan", "Syria" ]
what nations played in the games? ||
ns-1350
col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 row 8 : 7 | kazakhstan | 0 | 0 | 1 | 1 row 9 : 7 | syria | 0 | 0 | 1 | 1 row 10 : total | total | 15 | 13 | 15 | 43
table_csv/204_320.csv
1
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8 ] }
[ "what nations played in the games?", "how many silver medals did each win?" ]
1
5, 3, 3, 1, 1, 0, 0, 0, 0
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
how many silver medals did each win?
[ [ "1", "China", "10", "5", "1", "16" ], [ "2", "North Korea", "3", "3", "4", "10" ], [ "3", "Japan", "1", "3", "3", "7" ], [ "4", "Chinese Taipei", "1", "1", "1", "3" ], [ "5", "Hong Kong", "0", "1", "0", "1" ], [ "6", "South Korea", "0", "0", "3", "3" ], [ "7", "India", "0", "0", "1", "1" ], [ "7", "Kazakhstan", "0", "0", "1", "1" ], [ "7", "Syria", "0", "0", "1", "1" ], [ "Total", "Total", "15", "13", "15", "43" ] ]
[ "5", "3", "3", "1", "1", "0", "0", "0", "0" ]
how many silver medals did each win? || what nations played in the games?
ns-1350
col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 row 8 : 7 | kazakhstan | 0 | 0 | 1 | 1 row 9 : 7 | syria | 0 | 0 | 1 | 1 row 10 : total | total | 15 | 13 | 15 | 43
table_csv/204_320.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "what nations played in the games?", "how many silver medals did each win?", "and which nation won the most?" ]
1
china
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
and which nation won the most?
[ [ "1", "China", "10", "5", "1", "16" ], [ "2", "North Korea", "3", "3", "4", "10" ], [ "3", "Japan", "1", "3", "3", "7" ], [ "4", "Chinese Taipei", "1", "1", "1", "3" ], [ "5", "Hong Kong", "0", "1", "0", "1" ], [ "6", "South Korea", "0", "0", "3", "3" ], [ "7", "India", "0", "0", "1", "1" ], [ "7", "Kazakhstan", "0", "0", "1", "1" ], [ "7", "Syria", "0", "0", "1", "1" ], [ "Total", "Total", "15", "13", "15", "43" ] ]
[ "China" ]
and which nation won the most? || how many silver medals did each win? | what nations played in the games?
ns-1350
col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 row 8 : 7 | kazakhstan | 0 | 0 | 1 | 1 row 9 : 7 | syria | 0 | 0 | 1 | 1 row 10 : total | total | 15 | 13 | 15 | 43
table_csv/204_320.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what are the countries?" ]
2
china, north korea, japan, chinese taipei, hong kong, south korea, india, kazakhstan, syria, total
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what are the countries?
[ [ "1", "China", "10", "5", "1", "16" ], [ "2", "North Korea", "3", "3", "4", "10" ], [ "3", "Japan", "1", "3", "3", "7" ], [ "4", "Chinese Taipei", "1", "1", "1", "3" ], [ "5", "Hong Kong", "0", "1", "0", "1" ], [ "6", "South Korea", "0", "0", "3", "3" ], [ "7", "India", "0", "0", "1", "1" ], [ "7", "Kazakhstan", "0", "0", "1", "1" ], [ "7", "Syria", "0", "0", "1", "1" ], [ "Total", "Total", "15", "13", "15", "43" ] ]
[ "China", "North Korea", "Japan", "Chinese Taipei", "Hong Kong", "South Korea", "India", "Kazakhstan", "Syria", "Total" ]
what are the countries? ||
ns-1350
col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 row 8 : 7 | kazakhstan | 0 | 0 | 1 | 1 row 9 : 7 | syria | 0 | 0 | 1 | 1 row 10 : total | total | 15 | 13 | 15 | 43
table_csv/204_320.csv
1
{ "column_index": [ 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 9 ] }
[ "what are the countries?", "which countries have silver medals?" ]
2
china, north korea, japan, chinese taipei, hong kong, total
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which countries have silver medals?
[ [ "1", "China", "10", "5", "1", "16" ], [ "2", "North Korea", "3", "3", "4", "10" ], [ "3", "Japan", "1", "3", "3", "7" ], [ "4", "Chinese Taipei", "1", "1", "1", "3" ], [ "5", "Hong Kong", "0", "1", "0", "1" ], [ "6", "South Korea", "0", "0", "3", "3" ], [ "7", "India", "0", "0", "1", "1" ], [ "7", "Kazakhstan", "0", "0", "1", "1" ], [ "7", "Syria", "0", "0", "1", "1" ], [ "Total", "Total", "15", "13", "15", "43" ] ]
[ "China", "North Korea", "Japan", "Chinese Taipei", "Hong Kong", "Total" ]
which countries have silver medals? || what are the countries?
ns-1350
col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 row 8 : 7 | kazakhstan | 0 | 0 | 1 | 1 row 9 : 7 | syria | 0 | 0 | 1 | 1 row 10 : total | total | 15 | 13 | 15 | 43
table_csv/204_320.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "what are the countries?", "which countries have silver medals?", "of these, which has more than four?" ]
2
china
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
of these, which has more than four?
[ [ "1", "China", "10", "5", "1", "16" ], [ "2", "North Korea", "3", "3", "4", "10" ], [ "3", "Japan", "1", "3", "3", "7" ], [ "4", "Chinese Taipei", "1", "1", "1", "3" ], [ "5", "Hong Kong", "0", "1", "0", "1" ], [ "6", "South Korea", "0", "0", "3", "3" ], [ "7", "India", "0", "0", "1", "1" ], [ "7", "Kazakhstan", "0", "0", "1", "1" ], [ "7", "Syria", "0", "0", "1", "1" ], [ "Total", "Total", "15", "13", "15", "43" ] ]
[ "China" ]
of these, which has more than four? || which countries have silver medals? | what are the countries?
nt-8821
col : rank | name | nationality | time row 1 : nan | mark henderson | united states | 54.11 row 2 : nan | eduardo piccinini | brazil | 54.63 row 3 : nan | brian alderman | united states | 54.75 row 4 : 4.0 | francisco sanchez | venezuela | 54.99 row 5 : 5.0 | edward parenti | canada | 55.23 row 6 : 6.0 | diego cuenca | colombia | 55.67 row 7 : 7.0 | jose meolans | argentina | 55.91 row 8 : 8.0 | ruben calderon | el salvador | 56.04
table_csv/204_3.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "which athletes are listed?" ]
0
mark henderson, eduardo piccinini, brian alderman, francisco sanchez, edward parenti, diego cuenca, jose meolans, ruben calderon
[ "Rank", "Name", "Nationality", "Time" ]
which athletes are listed?
[ [ "nan", "Mark Henderson", "United States", "54.11" ], [ "nan", "Eduardo Piccinini", "Brazil", "54.63" ], [ "nan", "Brian Alderman", "United States", "54.75" ], [ "4.0", "Francisco Sanchez", "Venezuela", "54.99" ], [ "5.0", "Edward Parenti", "Canada", "55.23" ], [ "6.0", "Diego Cuenca", "Colombia", "55.67" ], [ "7.0", "Jose Meolans", "Argentina", "55.91" ], [ "8.0", "Ruben Calderon", "El Salvador", "56.04" ] ]
[ "Mark Henderson", "Eduardo Piccinini", "Brian Alderman", "Francisco Sanchez", "Edward Parenti", "Diego Cuenca", "Jose Meolans", "Ruben Calderon" ]
which athletes are listed? ||
nt-8821
col : rank | name | nationality | time row 1 : nan | mark henderson | united states | 54.11 row 2 : nan | eduardo piccinini | brazil | 54.63 row 3 : nan | brian alderman | united states | 54.75 row 4 : 4.0 | francisco sanchez | venezuela | 54.99 row 5 : 5.0 | edward parenti | canada | 55.23 row 6 : 6.0 | diego cuenca | colombia | 55.67 row 7 : 7.0 | jose meolans | argentina | 55.91 row 8 : 8.0 | ruben calderon | el salvador | 56.04
table_csv/204_3.csv
1
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "which athletes are listed?", "which of those had a time faster than 54.20?" ]
0
mark henderson
[ "Rank", "Name", "Nationality", "Time" ]
which of those had a time faster than 54.20?
[ [ "nan", "Mark Henderson", "United States", "54.11" ], [ "nan", "Eduardo Piccinini", "Brazil", "54.63" ], [ "nan", "Brian Alderman", "United States", "54.75" ], [ "4.0", "Francisco Sanchez", "Venezuela", "54.99" ], [ "5.0", "Edward Parenti", "Canada", "55.23" ], [ "6.0", "Diego Cuenca", "Colombia", "55.67" ], [ "7.0", "Jose Meolans", "Argentina", "55.91" ], [ "8.0", "Ruben Calderon", "El Salvador", "56.04" ] ]
[ "Mark Henderson" ]
which of those had a time faster than 54.20? || which athletes are listed?
nt-8821
col : rank | name | nationality | time row 1 : nan | mark henderson | united states | 54.11 row 2 : nan | eduardo piccinini | brazil | 54.63 row 3 : nan | brian alderman | united states | 54.75 row 4 : 4.0 | francisco sanchez | venezuela | 54.99 row 5 : 5.0 | edward parenti | canada | 55.23 row 6 : 6.0 | diego cuenca | colombia | 55.67 row 7 : 7.0 | jose meolans | argentina | 55.91 row 8 : 8.0 | ruben calderon | el salvador | 56.04
table_csv/204_3.csv
0
{ "column_index": [ 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3 ] }
[ "who achieved a time faster than 55 seconds?" ]
1
mark henderson, eduardo piccinini, brian alderman, francisco sanchez
[ "Rank", "Name", "Nationality", "Time" ]
who achieved a time faster than 55 seconds?
[ [ "nan", "Mark Henderson", "United States", "54.11" ], [ "nan", "Eduardo Piccinini", "Brazil", "54.63" ], [ "nan", "Brian Alderman", "United States", "54.75" ], [ "4.0", "Francisco Sanchez", "Venezuela", "54.99" ], [ "5.0", "Edward Parenti", "Canada", "55.23" ], [ "6.0", "Diego Cuenca", "Colombia", "55.67" ], [ "7.0", "Jose Meolans", "Argentina", "55.91" ], [ "8.0", "Ruben Calderon", "El Salvador", "56.04" ] ]
[ "Mark Henderson", "Eduardo Piccinini", "Brian Alderman", "Francisco Sanchez" ]
who achieved a time faster than 55 seconds? ||
nt-8821
col : rank | name | nationality | time row 1 : nan | mark henderson | united states | 54.11 row 2 : nan | eduardo piccinini | brazil | 54.63 row 3 : nan | brian alderman | united states | 54.75 row 4 : 4.0 | francisco sanchez | venezuela | 54.99 row 5 : 5.0 | edward parenti | canada | 55.23 row 6 : 6.0 | diego cuenca | colombia | 55.67 row 7 : 7.0 | jose meolans | argentina | 55.91 row 8 : 8.0 | ruben calderon | el salvador | 56.04
table_csv/204_3.csv
1
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "who achieved a time faster than 55 seconds?", "which racer achieved a time faster than 54.50 seconds?" ]
1
mark henderson
[ "Rank", "Name", "Nationality", "Time" ]
which racer achieved a time faster than 54.50 seconds?
[ [ "nan", "Mark Henderson", "United States", "54.11" ], [ "nan", "Eduardo Piccinini", "Brazil", "54.63" ], [ "nan", "Brian Alderman", "United States", "54.75" ], [ "4.0", "Francisco Sanchez", "Venezuela", "54.99" ], [ "5.0", "Edward Parenti", "Canada", "55.23" ], [ "6.0", "Diego Cuenca", "Colombia", "55.67" ], [ "7.0", "Jose Meolans", "Argentina", "55.91" ], [ "8.0", "Ruben Calderon", "El Salvador", "56.04" ] ]
[ "Mark Henderson" ]
which racer achieved a time faster than 54.50 seconds? || who achieved a time faster than 55 seconds?
nt-8821
col : rank | name | nationality | time row 1 : nan | mark henderson | united states | 54.11 row 2 : nan | eduardo piccinini | brazil | 54.63 row 3 : nan | brian alderman | united states | 54.75 row 4 : 4.0 | francisco sanchez | venezuela | 54.99 row 5 : 5.0 | edward parenti | canada | 55.23 row 6 : 6.0 | diego cuenca | colombia | 55.67 row 7 : 7.0 | jose meolans | argentina | 55.91 row 8 : 8.0 | ruben calderon | el salvador | 56.04
table_csv/204_3.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "who swam in the 1995 pan american games men's 100 meter butterfly?" ]
2
mark henderson, eduardo piccinini, brian alderman, francisco sanchez, edward parenti, diego cuenca, jose meolans, ruben calderon
[ "Rank", "Name", "Nationality", "Time" ]
who swam in the 1995 pan american games men's 100 meter butterfly?
[ [ "nan", "Mark Henderson", "United States", "54.11" ], [ "nan", "Eduardo Piccinini", "Brazil", "54.63" ], [ "nan", "Brian Alderman", "United States", "54.75" ], [ "4.0", "Francisco Sanchez", "Venezuela", "54.99" ], [ "5.0", "Edward Parenti", "Canada", "55.23" ], [ "6.0", "Diego Cuenca", "Colombia", "55.67" ], [ "7.0", "Jose Meolans", "Argentina", "55.91" ], [ "8.0", "Ruben Calderon", "El Salvador", "56.04" ] ]
[ "Mark Henderson", "Eduardo Piccinini", "Brian Alderman", "Francisco Sanchez", "Edward Parenti", "Diego Cuenca", "Jose Meolans", "Ruben Calderon" ]
who swam in the 1995 pan american games men's 100 meter butterfly? ||
nt-8821
col : rank | name | nationality | time row 1 : nan | mark henderson | united states | 54.11 row 2 : nan | eduardo piccinini | brazil | 54.63 row 3 : nan | brian alderman | united states | 54.75 row 4 : 4.0 | francisco sanchez | venezuela | 54.99 row 5 : 5.0 | edward parenti | canada | 55.23 row 6 : 6.0 | diego cuenca | colombia | 55.67 row 7 : 7.0 | jose meolans | argentina | 55.91 row 8 : 8.0 | ruben calderon | el salvador | 56.04
table_csv/204_3.csv
1
{ "column_index": [ 3 ], "row_index": [ 0 ] }
[ "who swam in the 1995 pan american games men's 100 meter butterfly?", "of these, what was the fastest time achieved?" ]
2
54.11
[ "Rank", "Name", "Nationality", "Time" ]
of these, what was the fastest time achieved?
[ [ "nan", "Mark Henderson", "United States", "54.11" ], [ "nan", "Eduardo Piccinini", "Brazil", "54.63" ], [ "nan", "Brian Alderman", "United States", "54.75" ], [ "4.0", "Francisco Sanchez", "Venezuela", "54.99" ], [ "5.0", "Edward Parenti", "Canada", "55.23" ], [ "6.0", "Diego Cuenca", "Colombia", "55.67" ], [ "7.0", "Jose Meolans", "Argentina", "55.91" ], [ "8.0", "Ruben Calderon", "El Salvador", "56.04" ] ]
[ "54.11" ]
of these, what was the fastest time achieved? || who swam in the 1995 pan american games men's 100 meter butterfly?
nt-8821
col : rank | name | nationality | time row 1 : nan | mark henderson | united states | 54.11 row 2 : nan | eduardo piccinini | brazil | 54.63 row 3 : nan | brian alderman | united states | 54.75 row 4 : 4.0 | francisco sanchez | venezuela | 54.99 row 5 : 5.0 | edward parenti | canada | 55.23 row 6 : 6.0 | diego cuenca | colombia | 55.67 row 7 : 7.0 | jose meolans | argentina | 55.91 row 8 : 8.0 | ruben calderon | el salvador | 56.04
table_csv/204_3.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "who swam in the 1995 pan american games men's 100 meter butterfly?", "of these, what was the fastest time achieved?", "who achieved this time?" ]
2
mark henderson
[ "Rank", "Name", "Nationality", "Time" ]
who achieved this time?
[ [ "nan", "Mark Henderson", "United States", "54.11" ], [ "nan", "Eduardo Piccinini", "Brazil", "54.63" ], [ "nan", "Brian Alderman", "United States", "54.75" ], [ "4.0", "Francisco Sanchez", "Venezuela", "54.99" ], [ "5.0", "Edward Parenti", "Canada", "55.23" ], [ "6.0", "Diego Cuenca", "Colombia", "55.67" ], [ "7.0", "Jose Meolans", "Argentina", "55.91" ], [ "8.0", "Ruben Calderon", "El Salvador", "56.04" ] ]
[ "Mark Henderson" ]
who achieved this time? || of these, what was the fastest time achieved? | who swam in the 1995 pan american games men's 100 meter butterfly?
nt-8827
col : rank | city | county | state | percentage row 1 : 1 | palisades park | bergen county | new jersey | 36.38% (52% in 2010) row 2 : 2 | cerritos | los angeles county | california | 17.69% row 3 : 3 | la palma | orange county | california | 17.43% row 4 : 4 | leonia | bergen county | new jersey | 17.24% row 5 : 5 | fort lee | bergen county | new jersey | 17.18% row 6 : 6 | ridgefield | bergen county | new jersey | 14.31% row 7 : 7 | closter | bergen county | new jersey | 12.75% row 8 : 8 | norwood | bergen county | new jersey | 12.69% row 9 : 9 | edgewater | bergen county | new jersey | 11.83% row 10 : 10 | englewood cliffs | bergen county | new jersey | 11.76%
table_csv/204_190.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what are all the park names?" ]
0
palisades park, cerritos, la palma, leonia, fort lee, ridgefield, closter, norwood, edgewater, englewood cliffs
[ "Rank", "City", "County", "State", "Percentage" ]
what are all the park names?
[ [ "1", "Palisades Park", "Bergen County", "New Jersey", "36.38% (52% in 2010)" ], [ "2", "Cerritos", "Los Angeles County", "California", "17.69%" ], [ "3", "La Palma", "Orange County", "California", "17.43%" ], [ "4", "Leonia", "Bergen County", "New Jersey", "17.24%" ], [ "5", "Fort Lee", "Bergen County", "New Jersey", "17.18%" ], [ "6", "Ridgefield", "Bergen County", "New Jersey", "14.31%" ], [ "7", "Closter", "Bergen County", "New Jersey", "12.75%" ], [ "8", "Norwood", "Bergen County", "New Jersey", "12.69%" ], [ "9", "Edgewater", "Bergen County", "New Jersey", "11.83%" ], [ "10", "Englewood Cliffs", "Bergen County", "New Jersey", "11.76%" ] ]
[ "Palisades Park", "Cerritos", "La Palma", "Leonia", "Fort Lee", "Ridgefield", "Closter", "Norwood", "Edgewater", "Englewood Cliffs" ]
what are all the park names? ||
nt-8827
col : rank | city | county | state | percentage row 1 : 1 | palisades park | bergen county | new jersey | 36.38% (52% in 2010) row 2 : 2 | cerritos | los angeles county | california | 17.69% row 3 : 3 | la palma | orange county | california | 17.43% row 4 : 4 | leonia | bergen county | new jersey | 17.24% row 5 : 5 | fort lee | bergen county | new jersey | 17.18% row 6 : 6 | ridgefield | bergen county | new jersey | 14.31% row 7 : 7 | closter | bergen county | new jersey | 12.75% row 8 : 8 | norwood | bergen county | new jersey | 12.69% row 9 : 9 | edgewater | bergen county | new jersey | 11.83% row 10 : 10 | englewood cliffs | bergen county | new jersey | 11.76%
table_csv/204_190.csv
1
{ "column_index": [ 4 ], "row_index": [ 0 ] }
[ "what are all the park names?", "what is the percentage for each park?" ]
0
36.38% (52% in 2010)
[ "Rank", "City", "County", "State", "Percentage" ]
what is the percentage for each park?
[ [ "1", "Palisades Park", "Bergen County", "New Jersey", "36.38% (52% in 2010)" ], [ "2", "Cerritos", "Los Angeles County", "California", "17.69%" ], [ "3", "La Palma", "Orange County", "California", "17.43%" ], [ "4", "Leonia", "Bergen County", "New Jersey", "17.24%" ], [ "5", "Fort Lee", "Bergen County", "New Jersey", "17.18%" ], [ "6", "Ridgefield", "Bergen County", "New Jersey", "14.31%" ], [ "7", "Closter", "Bergen County", "New Jersey", "12.75%" ], [ "8", "Norwood", "Bergen County", "New Jersey", "12.69%" ], [ "9", "Edgewater", "Bergen County", "New Jersey", "11.83%" ], [ "10", "Englewood Cliffs", "Bergen County", "New Jersey", "11.76%" ] ]
[ "36.38% (52% in 2010)" ]
what is the percentage for each park? || what are all the park names?
nt-8827
col : rank | city | county | state | percentage row 1 : 1 | palisades park | bergen county | new jersey | 36.38% (52% in 2010) row 2 : 2 | cerritos | los angeles county | california | 17.69% row 3 : 3 | la palma | orange county | california | 17.43% row 4 : 4 | leonia | bergen county | new jersey | 17.24% row 5 : 5 | fort lee | bergen county | new jersey | 17.18% row 6 : 6 | ridgefield | bergen county | new jersey | 14.31% row 7 : 7 | closter | bergen county | new jersey | 12.75% row 8 : 8 | norwood | bergen county | new jersey | 12.69% row 9 : 9 | edgewater | bergen county | new jersey | 11.83% row 10 : 10 | englewood cliffs | bergen county | new jersey | 11.76%
table_csv/204_190.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "what are all the park names?", "what is the percentage for each park?", "which park had the highest percentage?" ]
0
palisades park
[ "Rank", "City", "County", "State", "Percentage" ]
which park had the highest percentage?
[ [ "1", "Palisades Park", "Bergen County", "New Jersey", "36.38% (52% in 2010)" ], [ "2", "Cerritos", "Los Angeles County", "California", "17.69%" ], [ "3", "La Palma", "Orange County", "California", "17.43%" ], [ "4", "Leonia", "Bergen County", "New Jersey", "17.24%" ], [ "5", "Fort Lee", "Bergen County", "New Jersey", "17.18%" ], [ "6", "Ridgefield", "Bergen County", "New Jersey", "14.31%" ], [ "7", "Closter", "Bergen County", "New Jersey", "12.75%" ], [ "8", "Norwood", "Bergen County", "New Jersey", "12.69%" ], [ "9", "Edgewater", "Bergen County", "New Jersey", "11.83%" ], [ "10", "Englewood Cliffs", "Bergen County", "New Jersey", "11.76%" ] ]
[ "Palisades Park" ]
which park had the highest percentage? || what is the percentage for each park? | what are all the park names?
nt-8827
col : rank | city | county | state | percentage row 1 : 1 | palisades park | bergen county | new jersey | 36.38% (52% in 2010) row 2 : 2 | cerritos | los angeles county | california | 17.69% row 3 : 3 | la palma | orange county | california | 17.43% row 4 : 4 | leonia | bergen county | new jersey | 17.24% row 5 : 5 | fort lee | bergen county | new jersey | 17.18% row 6 : 6 | ridgefield | bergen county | new jersey | 14.31% row 7 : 7 | closter | bergen county | new jersey | 12.75% row 8 : 8 | norwood | bergen county | new jersey | 12.69% row 9 : 9 | edgewater | bergen county | new jersey | 11.83% row 10 : 10 | englewood cliffs | bergen county | new jersey | 11.76%
table_csv/204_190.csv
0
{ "column_index": [ 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4 ], "row_index": [ 0, 0, 1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 6, 6, 7, 7, 8, 8, 9, 9 ] }
[ "what are the cities?" ]
1
palisades park, 36.38% (52% in 2010), cerritos, 17.69%, la palma, 17.43%, leonia, 17.24%, fort lee, 17.18%, ridgefield, 14.31%, closter, 12.75%, norwood, 12.69%, edgewater, 11.83%, englewood cliffs, 11.76%
[ "Rank", "City", "County", "State", "Percentage" ]
what are the cities?
[ [ "1", "Palisades Park", "Bergen County", "New Jersey", "36.38% (52% in 2010)" ], [ "2", "Cerritos", "Los Angeles County", "California", "17.69%" ], [ "3", "La Palma", "Orange County", "California", "17.43%" ], [ "4", "Leonia", "Bergen County", "New Jersey", "17.24%" ], [ "5", "Fort Lee", "Bergen County", "New Jersey", "17.18%" ], [ "6", "Ridgefield", "Bergen County", "New Jersey", "14.31%" ], [ "7", "Closter", "Bergen County", "New Jersey", "12.75%" ], [ "8", "Norwood", "Bergen County", "New Jersey", "12.69%" ], [ "9", "Edgewater", "Bergen County", "New Jersey", "11.83%" ], [ "10", "Englewood Cliffs", "Bergen County", "New Jersey", "11.76%" ] ]
[ "Palisades Park", "36.38% (52% in 2010)", "Cerritos", "17.69%", "La Palma", "17.43%", "Leonia", "17.24%", "Fort Lee", "17.18%", "Ridgefield", "14.31%", "Closter", "12.75%", "Norwood", "12.69%", "Edgewater", "11.83%", "Englewood Cliffs", "11.76%" ]
what are the cities? ||
nt-8827
col : rank | city | county | state | percentage row 1 : 1 | palisades park | bergen county | new jersey | 36.38% (52% in 2010) row 2 : 2 | cerritos | los angeles county | california | 17.69% row 3 : 3 | la palma | orange county | california | 17.43% row 4 : 4 | leonia | bergen county | new jersey | 17.24% row 5 : 5 | fort lee | bergen county | new jersey | 17.18% row 6 : 6 | ridgefield | bergen county | new jersey | 14.31% row 7 : 7 | closter | bergen county | new jersey | 12.75% row 8 : 8 | norwood | bergen county | new jersey | 12.69% row 9 : 9 | edgewater | bergen county | new jersey | 11.83% row 10 : 10 | englewood cliffs | bergen county | new jersey | 11.76%
table_csv/204_190.csv
1
{ "column_index": [ 4 ], "row_index": [ 0 ] }
[ "what are the cities?", "what is the highest percentage?" ]
1
36.38% (52% in 2010)
[ "Rank", "City", "County", "State", "Percentage" ]
what is the highest percentage?
[ [ "1", "Palisades Park", "Bergen County", "New Jersey", "36.38% (52% in 2010)" ], [ "2", "Cerritos", "Los Angeles County", "California", "17.69%" ], [ "3", "La Palma", "Orange County", "California", "17.43%" ], [ "4", "Leonia", "Bergen County", "New Jersey", "17.24%" ], [ "5", "Fort Lee", "Bergen County", "New Jersey", "17.18%" ], [ "6", "Ridgefield", "Bergen County", "New Jersey", "14.31%" ], [ "7", "Closter", "Bergen County", "New Jersey", "12.75%" ], [ "8", "Norwood", "Bergen County", "New Jersey", "12.69%" ], [ "9", "Edgewater", "Bergen County", "New Jersey", "11.83%" ], [ "10", "Englewood Cliffs", "Bergen County", "New Jersey", "11.76%" ] ]
[ "36.38% (52% in 2010)" ]
what is the highest percentage? || what are the cities?
nt-8827
col : rank | city | county | state | percentage row 1 : 1 | palisades park | bergen county | new jersey | 36.38% (52% in 2010) row 2 : 2 | cerritos | los angeles county | california | 17.69% row 3 : 3 | la palma | orange county | california | 17.43% row 4 : 4 | leonia | bergen county | new jersey | 17.24% row 5 : 5 | fort lee | bergen county | new jersey | 17.18% row 6 : 6 | ridgefield | bergen county | new jersey | 14.31% row 7 : 7 | closter | bergen county | new jersey | 12.75% row 8 : 8 | norwood | bergen county | new jersey | 12.69% row 9 : 9 | edgewater | bergen county | new jersey | 11.83% row 10 : 10 | englewood cliffs | bergen county | new jersey | 11.76%
table_csv/204_190.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "what are the cities?", "what is the highest percentage?", "which city had that percentage?" ]
1
palisades park
[ "Rank", "City", "County", "State", "Percentage" ]
which city had that percentage?
[ [ "1", "Palisades Park", "Bergen County", "New Jersey", "36.38% (52% in 2010)" ], [ "2", "Cerritos", "Los Angeles County", "California", "17.69%" ], [ "3", "La Palma", "Orange County", "California", "17.43%" ], [ "4", "Leonia", "Bergen County", "New Jersey", "17.24%" ], [ "5", "Fort Lee", "Bergen County", "New Jersey", "17.18%" ], [ "6", "Ridgefield", "Bergen County", "New Jersey", "14.31%" ], [ "7", "Closter", "Bergen County", "New Jersey", "12.75%" ], [ "8", "Norwood", "Bergen County", "New Jersey", "12.69%" ], [ "9", "Edgewater", "Bergen County", "New Jersey", "11.83%" ], [ "10", "Englewood Cliffs", "Bergen County", "New Jersey", "11.76%" ] ]
[ "Palisades Park" ]
which city had that percentage? || what is the highest percentage? | what are the cities?
nt-8827
col : rank | city | county | state | percentage row 1 : 1 | palisades park | bergen county | new jersey | 36.38% (52% in 2010) row 2 : 2 | cerritos | los angeles county | california | 17.69% row 3 : 3 | la palma | orange county | california | 17.43% row 4 : 4 | leonia | bergen county | new jersey | 17.24% row 5 : 5 | fort lee | bergen county | new jersey | 17.18% row 6 : 6 | ridgefield | bergen county | new jersey | 14.31% row 7 : 7 | closter | bergen county | new jersey | 12.75% row 8 : 8 | norwood | bergen county | new jersey | 12.69% row 9 : 9 | edgewater | bergen county | new jersey | 11.83% row 10 : 10 | englewood cliffs | bergen county | new jersey | 11.76%
table_csv/204_190.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what are all the cities?" ]
2
palisades park, cerritos, la palma, leonia, fort lee, ridgefield, closter, norwood, edgewater, englewood cliffs
[ "Rank", "City", "County", "State", "Percentage" ]
what are all the cities?
[ [ "1", "Palisades Park", "Bergen County", "New Jersey", "36.38% (52% in 2010)" ], [ "2", "Cerritos", "Los Angeles County", "California", "17.69%" ], [ "3", "La Palma", "Orange County", "California", "17.43%" ], [ "4", "Leonia", "Bergen County", "New Jersey", "17.24%" ], [ "5", "Fort Lee", "Bergen County", "New Jersey", "17.18%" ], [ "6", "Ridgefield", "Bergen County", "New Jersey", "14.31%" ], [ "7", "Closter", "Bergen County", "New Jersey", "12.75%" ], [ "8", "Norwood", "Bergen County", "New Jersey", "12.69%" ], [ "9", "Edgewater", "Bergen County", "New Jersey", "11.83%" ], [ "10", "Englewood Cliffs", "Bergen County", "New Jersey", "11.76%" ] ]
[ "Palisades Park", "Cerritos", "La Palma", "Leonia", "Fort Lee", "Ridgefield", "Closter", "Norwood", "Edgewater", "Englewood Cliffs" ]
what are all the cities? ||
nt-8827
col : rank | city | county | state | percentage row 1 : 1 | palisades park | bergen county | new jersey | 36.38% (52% in 2010) row 2 : 2 | cerritos | los angeles county | california | 17.69% row 3 : 3 | la palma | orange county | california | 17.43% row 4 : 4 | leonia | bergen county | new jersey | 17.24% row 5 : 5 | fort lee | bergen county | new jersey | 17.18% row 6 : 6 | ridgefield | bergen county | new jersey | 14.31% row 7 : 7 | closter | bergen county | new jersey | 12.75% row 8 : 8 | norwood | bergen county | new jersey | 12.69% row 9 : 9 | edgewater | bergen county | new jersey | 11.83% row 10 : 10 | englewood cliffs | bergen county | new jersey | 11.76%
table_csv/204_190.csv
1
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what are all the cities?", "what percentages of korean-americans do these have?" ]
2
36.38% (52% in 2010), 17.69%, 17.43%, 17.24%, 17.18%, 14.31%, 12.75%, 12.69%, 11.83%, 11.76%
[ "Rank", "City", "County", "State", "Percentage" ]
what percentages of korean-americans do these have?
[ [ "1", "Palisades Park", "Bergen County", "New Jersey", "36.38% (52% in 2010)" ], [ "2", "Cerritos", "Los Angeles County", "California", "17.69%" ], [ "3", "La Palma", "Orange County", "California", "17.43%" ], [ "4", "Leonia", "Bergen County", "New Jersey", "17.24%" ], [ "5", "Fort Lee", "Bergen County", "New Jersey", "17.18%" ], [ "6", "Ridgefield", "Bergen County", "New Jersey", "14.31%" ], [ "7", "Closter", "Bergen County", "New Jersey", "12.75%" ], [ "8", "Norwood", "Bergen County", "New Jersey", "12.69%" ], [ "9", "Edgewater", "Bergen County", "New Jersey", "11.83%" ], [ "10", "Englewood Cliffs", "Bergen County", "New Jersey", "11.76%" ] ]
[ "36.38% (52% in 2010)", "17.69%", "17.43%", "17.24%", "17.18%", "14.31%", "12.75%", "12.69%", "11.83%", "11.76%" ]
what percentages of korean-americans do these have? || what are all the cities?
nt-8827
col : rank | city | county | state | percentage row 1 : 1 | palisades park | bergen county | new jersey | 36.38% (52% in 2010) row 2 : 2 | cerritos | los angeles county | california | 17.69% row 3 : 3 | la palma | orange county | california | 17.43% row 4 : 4 | leonia | bergen county | new jersey | 17.24% row 5 : 5 | fort lee | bergen county | new jersey | 17.18% row 6 : 6 | ridgefield | bergen county | new jersey | 14.31% row 7 : 7 | closter | bergen county | new jersey | 12.75% row 8 : 8 | norwood | bergen county | new jersey | 12.69% row 9 : 9 | edgewater | bergen county | new jersey | 11.83% row 10 : 10 | englewood cliffs | bergen county | new jersey | 11.76%
table_csv/204_190.csv
2
{ "column_index": [ 4 ], "row_index": [ 0 ] }
[ "what are all the cities?", "what percentages of korean-americans do these have?", "which of these is the highest?" ]
2
36.38% (52% in 2010)
[ "Rank", "City", "County", "State", "Percentage" ]
which of these is the highest?
[ [ "1", "Palisades Park", "Bergen County", "New Jersey", "36.38% (52% in 2010)" ], [ "2", "Cerritos", "Los Angeles County", "California", "17.69%" ], [ "3", "La Palma", "Orange County", "California", "17.43%" ], [ "4", "Leonia", "Bergen County", "New Jersey", "17.24%" ], [ "5", "Fort Lee", "Bergen County", "New Jersey", "17.18%" ], [ "6", "Ridgefield", "Bergen County", "New Jersey", "14.31%" ], [ "7", "Closter", "Bergen County", "New Jersey", "12.75%" ], [ "8", "Norwood", "Bergen County", "New Jersey", "12.69%" ], [ "9", "Edgewater", "Bergen County", "New Jersey", "11.83%" ], [ "10", "Englewood Cliffs", "Bergen County", "New Jersey", "11.76%" ] ]
[ "36.38% (52% in 2010)" ]
which of these is the highest? || what percentages of korean-americans do these have? | what are all the cities?
nt-8827
col : rank | city | county | state | percentage row 1 : 1 | palisades park | bergen county | new jersey | 36.38% (52% in 2010) row 2 : 2 | cerritos | los angeles county | california | 17.69% row 3 : 3 | la palma | orange county | california | 17.43% row 4 : 4 | leonia | bergen county | new jersey | 17.24% row 5 : 5 | fort lee | bergen county | new jersey | 17.18% row 6 : 6 | ridgefield | bergen county | new jersey | 14.31% row 7 : 7 | closter | bergen county | new jersey | 12.75% row 8 : 8 | norwood | bergen county | new jersey | 12.69% row 9 : 9 | edgewater | bergen county | new jersey | 11.83% row 10 : 10 | englewood cliffs | bergen county | new jersey | 11.76%
table_csv/204_190.csv
3
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "what are all the cities?", "what percentages of korean-americans do these have?", "which of these is the highest?", "which city had this?" ]
2
palisades park
[ "Rank", "City", "County", "State", "Percentage" ]
which city had this?
[ [ "1", "Palisades Park", "Bergen County", "New Jersey", "36.38% (52% in 2010)" ], [ "2", "Cerritos", "Los Angeles County", "California", "17.69%" ], [ "3", "La Palma", "Orange County", "California", "17.43%" ], [ "4", "Leonia", "Bergen County", "New Jersey", "17.24%" ], [ "5", "Fort Lee", "Bergen County", "New Jersey", "17.18%" ], [ "6", "Ridgefield", "Bergen County", "New Jersey", "14.31%" ], [ "7", "Closter", "Bergen County", "New Jersey", "12.75%" ], [ "8", "Norwood", "Bergen County", "New Jersey", "12.69%" ], [ "9", "Edgewater", "Bergen County", "New Jersey", "11.83%" ], [ "10", "Englewood Cliffs", "Bergen County", "New Jersey", "11.76%" ] ]
[ "Palisades Park" ]
which city had this? || which of these is the highest? | what percentages of korean-americans do these have? | what are all the cities?
nt-7482
col : team | titles | runner-up | third place | fourth place | years participated row 1 : michigan | 15 | 13 | 10 | 6 | 44 row 2 : michigan state | 12 | 13 | 11 | 4 | 40 row 3 : michigan tech | 10 | 13 | 10 | 16 | 49 row 4 : western michigan | 2 | 1 | 0 | 1 | 4 row 5 : north dakota | 2 | 1 | 0 | 1 | 4 row 6 : toronto | 1 | 0 | 0 | 0 | 1 row 7 : new hampshire | 1 | 0 | 1 | 0 | 2 row 8 : colorado college | 1 | 1 | 0 | 1 | 3 row 9 : wisconsin | 1 | 1 | 1 | 0 | 3 row 10 : boston college | 1 | 0 | 3 | 0 | 4 row 11 : notre dame | 1 | 0 | 0 | 3 | 4 row 12 : boston university | 1 | 0 | 4 | 0 | 5 row 13 : harvard | 1 | 0 | 2 | 2 | 5 row 14 : maine | 0 | 1 | 0 | 0 | 1 row 15 : ohio state | 0 | 1 | 0 | 0 | 1 row 16 : rensselaer polytechnic institute | 0 | 2 | 0 | 0 | 2 row 17 : lake superior state | 0 | 1 | 1 | 1 | 3 row 18 : northern michigan | 0 | 1 | 2 | 2 | 5 row 19 : colgate | 0 | 0 | 1 | 0 | 1 row 20 : dartmouth | 0 | 0 | 1 | 0 | 1 row 21 : providence | 0 | 0 | 1 | 0 | 1 row 22 : brown | 0 | 0 | 1 | 1 | 2 row 23 : cornell | 0 | 0 | 0 | 1 | 1 row 24 : princeton | 0 | 0 | 0 | 1 | 1 row 25 : st lawrence | 0 | 0 | 0 | 1 | 1 row 26 : yale | 0 | 0 | 0 | 1 | 1 row 27 : bowling green | 0 | 0 | 0 | 2 | 2 row 28 : pennsylvania | 0 | 0 | 0 | 2 | 2 row 29 : western ontario | 0 | 0 | 0 | 2 | 2
table_csv/203_502.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28 ] }
[ "what teams were present at the great lakes invitational?" ]
0
michigan, michigan state, michigan tech, western michigan, north dakota, toronto, new hampshire, colorado college, wisconsin, boston college, notre dame, boston university, harvard, maine, ohio state, rensselaer polytechnic institute, lake superior state, northern michigan, colgate, dartmouth, providence, brown, cornell, princeton, st lawrence, yale, bowling green, pennsylvania, western ontario
[ "Team", "Titles", "Runner-up", "Third place", "Fourth place", "Years participated" ]
what teams were present at the great lakes invitational?
[ [ "Michigan", "15", "13", "10", "6", "44" ], [ "Michigan State", "12", "13", "11", "4", "40" ], [ "Michigan Tech", "10", "13", "10", "16", "49" ], [ "Western Michigan", "2", "1", "0", "1", "4" ], [ "North Dakota", "2", "1", "0", "1", "4" ], [ "Toronto", "1", "0", "0", "0", "1" ], [ "New Hampshire", "1", "0", "1", "0", "2" ], [ "Colorado College", "1", "1", "0", "1", "3" ], [ "Wisconsin", "1", "1", "1", "0", "3" ], [ "Boston College", "1", "0", "3", "0", "4" ], [ "Notre Dame", "1", "0", "0", "3", "4" ], [ "Boston University", "1", "0", "4", "0", "5" ], [ "Harvard", "1", "0", "2", "2", "5" ], [ "Maine", "0", "1", "0", "0", "1" ], [ "Ohio State", "0", "1", "0", "0", "1" ], [ "Rensselaer Polytechnic Institute", "0", "2", "0", "0", "2" ], [ "Lake Superior State", "0", "1", "1", "1", "3" ], [ "Northern Michigan", "0", "1", "2", "2", "5" ], [ "Colgate", "0", "0", "1", "0", "1" ], [ "Dartmouth", "0", "0", "1", "0", "1" ], [ "Providence", "0", "0", "1", "0", "1" ], [ "Brown", "0", "0", "1", "1", "2" ], [ "Cornell", "0", "0", "0", "1", "1" ], [ "Princeton", "0", "0", "0", "1", "1" ], [ "St Lawrence", "0", "0", "0", "1", "1" ], [ "Yale", "0", "0", "0", "1", "1" ], [ "Bowling Green", "0", "0", "0", "2", "2" ], [ "Pennsylvania", "0", "0", "0", "2", "2" ], [ "Western Ontario", "0", "0", "0", "2", "2" ] ]
[ "Michigan", "Michigan State", "Michigan Tech", "Western Michigan", "North Dakota", "Toronto", "New Hampshire", "Colorado College", "Wisconsin", "Boston College", "Notre Dame", "Boston University", "Harvard", "Maine", "Ohio State", "Rensselaer Polytechnic Institute", "Lake Superior State", "Northern Michigan", "Colgate", "Dartmouth", "Providence", "Brown", "Cornell", "Princeton", "St Lawrence", "Yale", "Bowling Green", "Pennsylvania", "Western Ontario" ]
what teams were present at the great lakes invitational? ||
nt-7482
col : team | titles | runner-up | third place | fourth place | years participated row 1 : michigan | 15 | 13 | 10 | 6 | 44 row 2 : michigan state | 12 | 13 | 11 | 4 | 40 row 3 : michigan tech | 10 | 13 | 10 | 16 | 49 row 4 : western michigan | 2 | 1 | 0 | 1 | 4 row 5 : north dakota | 2 | 1 | 0 | 1 | 4 row 6 : toronto | 1 | 0 | 0 | 0 | 1 row 7 : new hampshire | 1 | 0 | 1 | 0 | 2 row 8 : colorado college | 1 | 1 | 0 | 1 | 3 row 9 : wisconsin | 1 | 1 | 1 | 0 | 3 row 10 : boston college | 1 | 0 | 3 | 0 | 4 row 11 : notre dame | 1 | 0 | 0 | 3 | 4 row 12 : boston university | 1 | 0 | 4 | 0 | 5 row 13 : harvard | 1 | 0 | 2 | 2 | 5 row 14 : maine | 0 | 1 | 0 | 0 | 1 row 15 : ohio state | 0 | 1 | 0 | 0 | 1 row 16 : rensselaer polytechnic institute | 0 | 2 | 0 | 0 | 2 row 17 : lake superior state | 0 | 1 | 1 | 1 | 3 row 18 : northern michigan | 0 | 1 | 2 | 2 | 5 row 19 : colgate | 0 | 0 | 1 | 0 | 1 row 20 : dartmouth | 0 | 0 | 1 | 0 | 1 row 21 : providence | 0 | 0 | 1 | 0 | 1 row 22 : brown | 0 | 0 | 1 | 1 | 2 row 23 : cornell | 0 | 0 | 0 | 1 | 1 row 24 : princeton | 0 | 0 | 0 | 1 | 1 row 25 : st lawrence | 0 | 0 | 0 | 1 | 1 row 26 : yale | 0 | 0 | 0 | 1 | 1 row 27 : bowling green | 0 | 0 | 0 | 2 | 2 row 28 : pennsylvania | 0 | 0 | 0 | 2 | 2 row 29 : western ontario | 0 | 0 | 0 | 2 | 2
table_csv/203_502.csv
1
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "what teams were present at the great lakes invitational?", "what is the highest number of titles earned at the great lakes invitational?" ]
0
15
[ "Team", "Titles", "Runner-up", "Third place", "Fourth place", "Years participated" ]
what is the highest number of titles earned at the great lakes invitational?
[ [ "Michigan", "15", "13", "10", "6", "44" ], [ "Michigan State", "12", "13", "11", "4", "40" ], [ "Michigan Tech", "10", "13", "10", "16", "49" ], [ "Western Michigan", "2", "1", "0", "1", "4" ], [ "North Dakota", "2", "1", "0", "1", "4" ], [ "Toronto", "1", "0", "0", "0", "1" ], [ "New Hampshire", "1", "0", "1", "0", "2" ], [ "Colorado College", "1", "1", "0", "1", "3" ], [ "Wisconsin", "1", "1", "1", "0", "3" ], [ "Boston College", "1", "0", "3", "0", "4" ], [ "Notre Dame", "1", "0", "0", "3", "4" ], [ "Boston University", "1", "0", "4", "0", "5" ], [ "Harvard", "1", "0", "2", "2", "5" ], [ "Maine", "0", "1", "0", "0", "1" ], [ "Ohio State", "0", "1", "0", "0", "1" ], [ "Rensselaer Polytechnic Institute", "0", "2", "0", "0", "2" ], [ "Lake Superior State", "0", "1", "1", "1", "3" ], [ "Northern Michigan", "0", "1", "2", "2", "5" ], [ "Colgate", "0", "0", "1", "0", "1" ], [ "Dartmouth", "0", "0", "1", "0", "1" ], [ "Providence", "0", "0", "1", "0", "1" ], [ "Brown", "0", "0", "1", "1", "2" ], [ "Cornell", "0", "0", "0", "1", "1" ], [ "Princeton", "0", "0", "0", "1", "1" ], [ "St Lawrence", "0", "0", "0", "1", "1" ], [ "Yale", "0", "0", "0", "1", "1" ], [ "Bowling Green", "0", "0", "0", "2", "2" ], [ "Pennsylvania", "0", "0", "0", "2", "2" ], [ "Western Ontario", "0", "0", "0", "2", "2" ] ]
[ "15" ]
what is the highest number of titles earned at the great lakes invitational? || what teams were present at the great lakes invitational?
nt-7482
col : team | titles | runner-up | third place | fourth place | years participated row 1 : michigan | 15 | 13 | 10 | 6 | 44 row 2 : michigan state | 12 | 13 | 11 | 4 | 40 row 3 : michigan tech | 10 | 13 | 10 | 16 | 49 row 4 : western michigan | 2 | 1 | 0 | 1 | 4 row 5 : north dakota | 2 | 1 | 0 | 1 | 4 row 6 : toronto | 1 | 0 | 0 | 0 | 1 row 7 : new hampshire | 1 | 0 | 1 | 0 | 2 row 8 : colorado college | 1 | 1 | 0 | 1 | 3 row 9 : wisconsin | 1 | 1 | 1 | 0 | 3 row 10 : boston college | 1 | 0 | 3 | 0 | 4 row 11 : notre dame | 1 | 0 | 0 | 3 | 4 row 12 : boston university | 1 | 0 | 4 | 0 | 5 row 13 : harvard | 1 | 0 | 2 | 2 | 5 row 14 : maine | 0 | 1 | 0 | 0 | 1 row 15 : ohio state | 0 | 1 | 0 | 0 | 1 row 16 : rensselaer polytechnic institute | 0 | 2 | 0 | 0 | 2 row 17 : lake superior state | 0 | 1 | 1 | 1 | 3 row 18 : northern michigan | 0 | 1 | 2 | 2 | 5 row 19 : colgate | 0 | 0 | 1 | 0 | 1 row 20 : dartmouth | 0 | 0 | 1 | 0 | 1 row 21 : providence | 0 | 0 | 1 | 0 | 1 row 22 : brown | 0 | 0 | 1 | 1 | 2 row 23 : cornell | 0 | 0 | 0 | 1 | 1 row 24 : princeton | 0 | 0 | 0 | 1 | 1 row 25 : st lawrence | 0 | 0 | 0 | 1 | 1 row 26 : yale | 0 | 0 | 0 | 1 | 1 row 27 : bowling green | 0 | 0 | 0 | 2 | 2 row 28 : pennsylvania | 0 | 0 | 0 | 2 | 2 row 29 : western ontario | 0 | 0 | 0 | 2 | 2
table_csv/203_502.csv
2
{ "column_index": [ 0 ], "row_index": [ 0 ] }
[ "what teams were present at the great lakes invitational?", "what is the highest number of titles earned at the great lakes invitational?", "who was the team that earned the highest number of titles?" ]
0
michigan
[ "Team", "Titles", "Runner-up", "Third place", "Fourth place", "Years participated" ]
who was the team that earned the highest number of titles?
[ [ "Michigan", "15", "13", "10", "6", "44" ], [ "Michigan State", "12", "13", "11", "4", "40" ], [ "Michigan Tech", "10", "13", "10", "16", "49" ], [ "Western Michigan", "2", "1", "0", "1", "4" ], [ "North Dakota", "2", "1", "0", "1", "4" ], [ "Toronto", "1", "0", "0", "0", "1" ], [ "New Hampshire", "1", "0", "1", "0", "2" ], [ "Colorado College", "1", "1", "0", "1", "3" ], [ "Wisconsin", "1", "1", "1", "0", "3" ], [ "Boston College", "1", "0", "3", "0", "4" ], [ "Notre Dame", "1", "0", "0", "3", "4" ], [ "Boston University", "1", "0", "4", "0", "5" ], [ "Harvard", "1", "0", "2", "2", "5" ], [ "Maine", "0", "1", "0", "0", "1" ], [ "Ohio State", "0", "1", "0", "0", "1" ], [ "Rensselaer Polytechnic Institute", "0", "2", "0", "0", "2" ], [ "Lake Superior State", "0", "1", "1", "1", "3" ], [ "Northern Michigan", "0", "1", "2", "2", "5" ], [ "Colgate", "0", "0", "1", "0", "1" ], [ "Dartmouth", "0", "0", "1", "0", "1" ], [ "Providence", "0", "0", "1", "0", "1" ], [ "Brown", "0", "0", "1", "1", "2" ], [ "Cornell", "0", "0", "0", "1", "1" ], [ "Princeton", "0", "0", "0", "1", "1" ], [ "St Lawrence", "0", "0", "0", "1", "1" ], [ "Yale", "0", "0", "0", "1", "1" ], [ "Bowling Green", "0", "0", "0", "2", "2" ], [ "Pennsylvania", "0", "0", "0", "2", "2" ], [ "Western Ontario", "0", "0", "0", "2", "2" ] ]
[ "Michigan" ]
who was the team that earned the highest number of titles? || what is the highest number of titles earned at the great lakes invitational? | what teams were present at the great lakes invitational?
nt-7482
col : team | titles | runner-up | third place | fourth place | years participated row 1 : michigan | 15 | 13 | 10 | 6 | 44 row 2 : michigan state | 12 | 13 | 11 | 4 | 40 row 3 : michigan tech | 10 | 13 | 10 | 16 | 49 row 4 : western michigan | 2 | 1 | 0 | 1 | 4 row 5 : north dakota | 2 | 1 | 0 | 1 | 4 row 6 : toronto | 1 | 0 | 0 | 0 | 1 row 7 : new hampshire | 1 | 0 | 1 | 0 | 2 row 8 : colorado college | 1 | 1 | 0 | 1 | 3 row 9 : wisconsin | 1 | 1 | 1 | 0 | 3 row 10 : boston college | 1 | 0 | 3 | 0 | 4 row 11 : notre dame | 1 | 0 | 0 | 3 | 4 row 12 : boston university | 1 | 0 | 4 | 0 | 5 row 13 : harvard | 1 | 0 | 2 | 2 | 5 row 14 : maine | 0 | 1 | 0 | 0 | 1 row 15 : ohio state | 0 | 1 | 0 | 0 | 1 row 16 : rensselaer polytechnic institute | 0 | 2 | 0 | 0 | 2 row 17 : lake superior state | 0 | 1 | 1 | 1 | 3 row 18 : northern michigan | 0 | 1 | 2 | 2 | 5 row 19 : colgate | 0 | 0 | 1 | 0 | 1 row 20 : dartmouth | 0 | 0 | 1 | 0 | 1 row 21 : providence | 0 | 0 | 1 | 0 | 1 row 22 : brown | 0 | 0 | 1 | 1 | 2 row 23 : cornell | 0 | 0 | 0 | 1 | 1 row 24 : princeton | 0 | 0 | 0 | 1 | 1 row 25 : st lawrence | 0 | 0 | 0 | 1 | 1 row 26 : yale | 0 | 0 | 0 | 1 | 1 row 27 : bowling green | 0 | 0 | 0 | 2 | 2 row 28 : pennsylvania | 0 | 0 | 0 | 2 | 2 row 29 : western ontario | 0 | 0 | 0 | 2 | 2
table_csv/203_502.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28 ] }
[ "what are all the team names?" ]
1
michigan, michigan state, michigan tech, western michigan, north dakota, toronto, new hampshire, colorado college, wisconsin, boston college, notre dame, boston university, harvard, maine, ohio state, rensselaer polytechnic institute, lake superior state, northern michigan, colgate, dartmouth, providence, brown, cornell, princeton, st lawrence, yale, bowling green, pennsylvania, western ontario
[ "Team", "Titles", "Runner-up", "Third place", "Fourth place", "Years participated" ]
what are all the team names?
[ [ "Michigan", "15", "13", "10", "6", "44" ], [ "Michigan State", "12", "13", "11", "4", "40" ], [ "Michigan Tech", "10", "13", "10", "16", "49" ], [ "Western Michigan", "2", "1", "0", "1", "4" ], [ "North Dakota", "2", "1", "0", "1", "4" ], [ "Toronto", "1", "0", "0", "0", "1" ], [ "New Hampshire", "1", "0", "1", "0", "2" ], [ "Colorado College", "1", "1", "0", "1", "3" ], [ "Wisconsin", "1", "1", "1", "0", "3" ], [ "Boston College", "1", "0", "3", "0", "4" ], [ "Notre Dame", "1", "0", "0", "3", "4" ], [ "Boston University", "1", "0", "4", "0", "5" ], [ "Harvard", "1", "0", "2", "2", "5" ], [ "Maine", "0", "1", "0", "0", "1" ], [ "Ohio State", "0", "1", "0", "0", "1" ], [ "Rensselaer Polytechnic Institute", "0", "2", "0", "0", "2" ], [ "Lake Superior State", "0", "1", "1", "1", "3" ], [ "Northern Michigan", "0", "1", "2", "2", "5" ], [ "Colgate", "0", "0", "1", "0", "1" ], [ "Dartmouth", "0", "0", "1", "0", "1" ], [ "Providence", "0", "0", "1", "0", "1" ], [ "Brown", "0", "0", "1", "1", "2" ], [ "Cornell", "0", "0", "0", "1", "1" ], [ "Princeton", "0", "0", "0", "1", "1" ], [ "St Lawrence", "0", "0", "0", "1", "1" ], [ "Yale", "0", "0", "0", "1", "1" ], [ "Bowling Green", "0", "0", "0", "2", "2" ], [ "Pennsylvania", "0", "0", "0", "2", "2" ], [ "Western Ontario", "0", "0", "0", "2", "2" ] ]
[ "Michigan", "Michigan State", "Michigan Tech", "Western Michigan", "North Dakota", "Toronto", "New Hampshire", "Colorado College", "Wisconsin", "Boston College", "Notre Dame", "Boston University", "Harvard", "Maine", "Ohio State", "Rensselaer Polytechnic Institute", "Lake Superior State", "Northern Michigan", "Colgate", "Dartmouth", "Providence", "Brown", "Cornell", "Princeton", "St Lawrence", "Yale", "Bowling Green", "Pennsylvania", "Western Ontario" ]
what are all the team names? ||
nt-7482
col : team | titles | runner-up | third place | fourth place | years participated row 1 : michigan | 15 | 13 | 10 | 6 | 44 row 2 : michigan state | 12 | 13 | 11 | 4 | 40 row 3 : michigan tech | 10 | 13 | 10 | 16 | 49 row 4 : western michigan | 2 | 1 | 0 | 1 | 4 row 5 : north dakota | 2 | 1 | 0 | 1 | 4 row 6 : toronto | 1 | 0 | 0 | 0 | 1 row 7 : new hampshire | 1 | 0 | 1 | 0 | 2 row 8 : colorado college | 1 | 1 | 0 | 1 | 3 row 9 : wisconsin | 1 | 1 | 1 | 0 | 3 row 10 : boston college | 1 | 0 | 3 | 0 | 4 row 11 : notre dame | 1 | 0 | 0 | 3 | 4 row 12 : boston university | 1 | 0 | 4 | 0 | 5 row 13 : harvard | 1 | 0 | 2 | 2 | 5 row 14 : maine | 0 | 1 | 0 | 0 | 1 row 15 : ohio state | 0 | 1 | 0 | 0 | 1 row 16 : rensselaer polytechnic institute | 0 | 2 | 0 | 0 | 2 row 17 : lake superior state | 0 | 1 | 1 | 1 | 3 row 18 : northern michigan | 0 | 1 | 2 | 2 | 5 row 19 : colgate | 0 | 0 | 1 | 0 | 1 row 20 : dartmouth | 0 | 0 | 1 | 0 | 1 row 21 : providence | 0 | 0 | 1 | 0 | 1 row 22 : brown | 0 | 0 | 1 | 1 | 2 row 23 : cornell | 0 | 0 | 0 | 1 | 1 row 24 : princeton | 0 | 0 | 0 | 1 | 1 row 25 : st lawrence | 0 | 0 | 0 | 1 | 1 row 26 : yale | 0 | 0 | 0 | 1 | 1 row 27 : bowling green | 0 | 0 | 0 | 2 | 2 row 28 : pennsylvania | 0 | 0 | 0 | 2 | 2 row 29 : western ontario | 0 | 0 | 0 | 2 | 2
table_csv/203_502.csv
1
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28 ] }
[ "what are all the team names?", "how many titles did they win?" ]
1
15, 12, 10, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
[ "Team", "Titles", "Runner-up", "Third place", "Fourth place", "Years participated" ]
how many titles did they win?
[ [ "Michigan", "15", "13", "10", "6", "44" ], [ "Michigan State", "12", "13", "11", "4", "40" ], [ "Michigan Tech", "10", "13", "10", "16", "49" ], [ "Western Michigan", "2", "1", "0", "1", "4" ], [ "North Dakota", "2", "1", "0", "1", "4" ], [ "Toronto", "1", "0", "0", "0", "1" ], [ "New Hampshire", "1", "0", "1", "0", "2" ], [ "Colorado College", "1", "1", "0", "1", "3" ], [ "Wisconsin", "1", "1", "1", "0", "3" ], [ "Boston College", "1", "0", "3", "0", "4" ], [ "Notre Dame", "1", "0", "0", "3", "4" ], [ "Boston University", "1", "0", "4", "0", "5" ], [ "Harvard", "1", "0", "2", "2", "5" ], [ "Maine", "0", "1", "0", "0", "1" ], [ "Ohio State", "0", "1", "0", "0", "1" ], [ "Rensselaer Polytechnic Institute", "0", "2", "0", "0", "2" ], [ "Lake Superior State", "0", "1", "1", "1", "3" ], [ "Northern Michigan", "0", "1", "2", "2", "5" ], [ "Colgate", "0", "0", "1", "0", "1" ], [ "Dartmouth", "0", "0", "1", "0", "1" ], [ "Providence", "0", "0", "1", "0", "1" ], [ "Brown", "0", "0", "1", "1", "2" ], [ "Cornell", "0", "0", "0", "1", "1" ], [ "Princeton", "0", "0", "0", "1", "1" ], [ "St Lawrence", "0", "0", "0", "1", "1" ], [ "Yale", "0", "0", "0", "1", "1" ], [ "Bowling Green", "0", "0", "0", "2", "2" ], [ "Pennsylvania", "0", "0", "0", "2", "2" ], [ "Western Ontario", "0", "0", "0", "2", "2" ] ]
[ "15", "12", "10", "2", "2", "1", "1", "1", "1", "1", "1", "1", "1", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0" ]
how many titles did they win? || what are all the team names?
nt-7482
col : team | titles | runner-up | third place | fourth place | years participated row 1 : michigan | 15 | 13 | 10 | 6 | 44 row 2 : michigan state | 12 | 13 | 11 | 4 | 40 row 3 : michigan tech | 10 | 13 | 10 | 16 | 49 row 4 : western michigan | 2 | 1 | 0 | 1 | 4 row 5 : north dakota | 2 | 1 | 0 | 1 | 4 row 6 : toronto | 1 | 0 | 0 | 0 | 1 row 7 : new hampshire | 1 | 0 | 1 | 0 | 2 row 8 : colorado college | 1 | 1 | 0 | 1 | 3 row 9 : wisconsin | 1 | 1 | 1 | 0 | 3 row 10 : boston college | 1 | 0 | 3 | 0 | 4 row 11 : notre dame | 1 | 0 | 0 | 3 | 4 row 12 : boston university | 1 | 0 | 4 | 0 | 5 row 13 : harvard | 1 | 0 | 2 | 2 | 5 row 14 : maine | 0 | 1 | 0 | 0 | 1 row 15 : ohio state | 0 | 1 | 0 | 0 | 1 row 16 : rensselaer polytechnic institute | 0 | 2 | 0 | 0 | 2 row 17 : lake superior state | 0 | 1 | 1 | 1 | 3 row 18 : northern michigan | 0 | 1 | 2 | 2 | 5 row 19 : colgate | 0 | 0 | 1 | 0 | 1 row 20 : dartmouth | 0 | 0 | 1 | 0 | 1 row 21 : providence | 0 | 0 | 1 | 0 | 1 row 22 : brown | 0 | 0 | 1 | 1 | 2 row 23 : cornell | 0 | 0 | 0 | 1 | 1 row 24 : princeton | 0 | 0 | 0 | 1 | 1 row 25 : st lawrence | 0 | 0 | 0 | 1 | 1 row 26 : yale | 0 | 0 | 0 | 1 | 1 row 27 : bowling green | 0 | 0 | 0 | 2 | 2 row 28 : pennsylvania | 0 | 0 | 0 | 2 | 2 row 29 : western ontario | 0 | 0 | 0 | 2 | 2
table_csv/203_502.csv
2
{ "column_index": [ 0 ], "row_index": [ 0 ] }
[ "what are all the team names?", "how many titles did they win?", "and which team had the most titles?" ]
1
michigan
[ "Team", "Titles", "Runner-up", "Third place", "Fourth place", "Years participated" ]
and which team had the most titles?
[ [ "Michigan", "15", "13", "10", "6", "44" ], [ "Michigan State", "12", "13", "11", "4", "40" ], [ "Michigan Tech", "10", "13", "10", "16", "49" ], [ "Western Michigan", "2", "1", "0", "1", "4" ], [ "North Dakota", "2", "1", "0", "1", "4" ], [ "Toronto", "1", "0", "0", "0", "1" ], [ "New Hampshire", "1", "0", "1", "0", "2" ], [ "Colorado College", "1", "1", "0", "1", "3" ], [ "Wisconsin", "1", "1", "1", "0", "3" ], [ "Boston College", "1", "0", "3", "0", "4" ], [ "Notre Dame", "1", "0", "0", "3", "4" ], [ "Boston University", "1", "0", "4", "0", "5" ], [ "Harvard", "1", "0", "2", "2", "5" ], [ "Maine", "0", "1", "0", "0", "1" ], [ "Ohio State", "0", "1", "0", "0", "1" ], [ "Rensselaer Polytechnic Institute", "0", "2", "0", "0", "2" ], [ "Lake Superior State", "0", "1", "1", "1", "3" ], [ "Northern Michigan", "0", "1", "2", "2", "5" ], [ "Colgate", "0", "0", "1", "0", "1" ], [ "Dartmouth", "0", "0", "1", "0", "1" ], [ "Providence", "0", "0", "1", "0", "1" ], [ "Brown", "0", "0", "1", "1", "2" ], [ "Cornell", "0", "0", "0", "1", "1" ], [ "Princeton", "0", "0", "0", "1", "1" ], [ "St Lawrence", "0", "0", "0", "1", "1" ], [ "Yale", "0", "0", "0", "1", "1" ], [ "Bowling Green", "0", "0", "0", "2", "2" ], [ "Pennsylvania", "0", "0", "0", "2", "2" ], [ "Western Ontario", "0", "0", "0", "2", "2" ] ]
[ "Michigan" ]
and which team had the most titles? || how many titles did they win? | what are all the team names?
nt-7482
col : team | titles | runner-up | third place | fourth place | years participated row 1 : michigan | 15 | 13 | 10 | 6 | 44 row 2 : michigan state | 12 | 13 | 11 | 4 | 40 row 3 : michigan tech | 10 | 13 | 10 | 16 | 49 row 4 : western michigan | 2 | 1 | 0 | 1 | 4 row 5 : north dakota | 2 | 1 | 0 | 1 | 4 row 6 : toronto | 1 | 0 | 0 | 0 | 1 row 7 : new hampshire | 1 | 0 | 1 | 0 | 2 row 8 : colorado college | 1 | 1 | 0 | 1 | 3 row 9 : wisconsin | 1 | 1 | 1 | 0 | 3 row 10 : boston college | 1 | 0 | 3 | 0 | 4 row 11 : notre dame | 1 | 0 | 0 | 3 | 4 row 12 : boston university | 1 | 0 | 4 | 0 | 5 row 13 : harvard | 1 | 0 | 2 | 2 | 5 row 14 : maine | 0 | 1 | 0 | 0 | 1 row 15 : ohio state | 0 | 1 | 0 | 0 | 1 row 16 : rensselaer polytechnic institute | 0 | 2 | 0 | 0 | 2 row 17 : lake superior state | 0 | 1 | 1 | 1 | 3 row 18 : northern michigan | 0 | 1 | 2 | 2 | 5 row 19 : colgate | 0 | 0 | 1 | 0 | 1 row 20 : dartmouth | 0 | 0 | 1 | 0 | 1 row 21 : providence | 0 | 0 | 1 | 0 | 1 row 22 : brown | 0 | 0 | 1 | 1 | 2 row 23 : cornell | 0 | 0 | 0 | 1 | 1 row 24 : princeton | 0 | 0 | 0 | 1 | 1 row 25 : st lawrence | 0 | 0 | 0 | 1 | 1 row 26 : yale | 0 | 0 | 0 | 1 | 1 row 27 : bowling green | 0 | 0 | 0 | 2 | 2 row 28 : pennsylvania | 0 | 0 | 0 | 2 | 2 row 29 : western ontario | 0 | 0 | 0 | 2 | 2
table_csv/203_502.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ] }
[ "which teams have titles?" ]
2
michigan, michigan state, michigan tech, western michigan, north dakota, toronto, new hampshire, colorado college, wisconsin, boston college, notre dame, boston university, harvard
[ "Team", "Titles", "Runner-up", "Third place", "Fourth place", "Years participated" ]
which teams have titles?
[ [ "Michigan", "15", "13", "10", "6", "44" ], [ "Michigan State", "12", "13", "11", "4", "40" ], [ "Michigan Tech", "10", "13", "10", "16", "49" ], [ "Western Michigan", "2", "1", "0", "1", "4" ], [ "North Dakota", "2", "1", "0", "1", "4" ], [ "Toronto", "1", "0", "0", "0", "1" ], [ "New Hampshire", "1", "0", "1", "0", "2" ], [ "Colorado College", "1", "1", "0", "1", "3" ], [ "Wisconsin", "1", "1", "1", "0", "3" ], [ "Boston College", "1", "0", "3", "0", "4" ], [ "Notre Dame", "1", "0", "0", "3", "4" ], [ "Boston University", "1", "0", "4", "0", "5" ], [ "Harvard", "1", "0", "2", "2", "5" ], [ "Maine", "0", "1", "0", "0", "1" ], [ "Ohio State", "0", "1", "0", "0", "1" ], [ "Rensselaer Polytechnic Institute", "0", "2", "0", "0", "2" ], [ "Lake Superior State", "0", "1", "1", "1", "3" ], [ "Northern Michigan", "0", "1", "2", "2", "5" ], [ "Colgate", "0", "0", "1", "0", "1" ], [ "Dartmouth", "0", "0", "1", "0", "1" ], [ "Providence", "0", "0", "1", "0", "1" ], [ "Brown", "0", "0", "1", "1", "2" ], [ "Cornell", "0", "0", "0", "1", "1" ], [ "Princeton", "0", "0", "0", "1", "1" ], [ "St Lawrence", "0", "0", "0", "1", "1" ], [ "Yale", "0", "0", "0", "1", "1" ], [ "Bowling Green", "0", "0", "0", "2", "2" ], [ "Pennsylvania", "0", "0", "0", "2", "2" ], [ "Western Ontario", "0", "0", "0", "2", "2" ] ]
[ "Michigan", "Michigan State", "Michigan Tech", "Western Michigan", "North Dakota", "Toronto", "New Hampshire", "Colorado College", "Wisconsin", "Boston College", "Notre Dame", "Boston University", "Harvard" ]
which teams have titles? ||
nt-7482
col : team | titles | runner-up | third place | fourth place | years participated row 1 : michigan | 15 | 13 | 10 | 6 | 44 row 2 : michigan state | 12 | 13 | 11 | 4 | 40 row 3 : michigan tech | 10 | 13 | 10 | 16 | 49 row 4 : western michigan | 2 | 1 | 0 | 1 | 4 row 5 : north dakota | 2 | 1 | 0 | 1 | 4 row 6 : toronto | 1 | 0 | 0 | 0 | 1 row 7 : new hampshire | 1 | 0 | 1 | 0 | 2 row 8 : colorado college | 1 | 1 | 0 | 1 | 3 row 9 : wisconsin | 1 | 1 | 1 | 0 | 3 row 10 : boston college | 1 | 0 | 3 | 0 | 4 row 11 : notre dame | 1 | 0 | 0 | 3 | 4 row 12 : boston university | 1 | 0 | 4 | 0 | 5 row 13 : harvard | 1 | 0 | 2 | 2 | 5 row 14 : maine | 0 | 1 | 0 | 0 | 1 row 15 : ohio state | 0 | 1 | 0 | 0 | 1 row 16 : rensselaer polytechnic institute | 0 | 2 | 0 | 0 | 2 row 17 : lake superior state | 0 | 1 | 1 | 1 | 3 row 18 : northern michigan | 0 | 1 | 2 | 2 | 5 row 19 : colgate | 0 | 0 | 1 | 0 | 1 row 20 : dartmouth | 0 | 0 | 1 | 0 | 1 row 21 : providence | 0 | 0 | 1 | 0 | 1 row 22 : brown | 0 | 0 | 1 | 1 | 2 row 23 : cornell | 0 | 0 | 0 | 1 | 1 row 24 : princeton | 0 | 0 | 0 | 1 | 1 row 25 : st lawrence | 0 | 0 | 0 | 1 | 1 row 26 : yale | 0 | 0 | 0 | 1 | 1 row 27 : bowling green | 0 | 0 | 0 | 2 | 2 row 28 : pennsylvania | 0 | 0 | 0 | 2 | 2 row 29 : western ontario | 0 | 0 | 0 | 2 | 2
table_csv/203_502.csv
1
{ "column_index": [ 0 ], "row_index": [ 0 ] }
[ "which teams have titles?", "of these, which have the highest amount of titles?" ]
2
michigan
[ "Team", "Titles", "Runner-up", "Third place", "Fourth place", "Years participated" ]
of these, which have the highest amount of titles?
[ [ "Michigan", "15", "13", "10", "6", "44" ], [ "Michigan State", "12", "13", "11", "4", "40" ], [ "Michigan Tech", "10", "13", "10", "16", "49" ], [ "Western Michigan", "2", "1", "0", "1", "4" ], [ "North Dakota", "2", "1", "0", "1", "4" ], [ "Toronto", "1", "0", "0", "0", "1" ], [ "New Hampshire", "1", "0", "1", "0", "2" ], [ "Colorado College", "1", "1", "0", "1", "3" ], [ "Wisconsin", "1", "1", "1", "0", "3" ], [ "Boston College", "1", "0", "3", "0", "4" ], [ "Notre Dame", "1", "0", "0", "3", "4" ], [ "Boston University", "1", "0", "4", "0", "5" ], [ "Harvard", "1", "0", "2", "2", "5" ], [ "Maine", "0", "1", "0", "0", "1" ], [ "Ohio State", "0", "1", "0", "0", "1" ], [ "Rensselaer Polytechnic Institute", "0", "2", "0", "0", "2" ], [ "Lake Superior State", "0", "1", "1", "1", "3" ], [ "Northern Michigan", "0", "1", "2", "2", "5" ], [ "Colgate", "0", "0", "1", "0", "1" ], [ "Dartmouth", "0", "0", "1", "0", "1" ], [ "Providence", "0", "0", "1", "0", "1" ], [ "Brown", "0", "0", "1", "1", "2" ], [ "Cornell", "0", "0", "0", "1", "1" ], [ "Princeton", "0", "0", "0", "1", "1" ], [ "St Lawrence", "0", "0", "0", "1", "1" ], [ "Yale", "0", "0", "0", "1", "1" ], [ "Bowling Green", "0", "0", "0", "2", "2" ], [ "Pennsylvania", "0", "0", "0", "2", "2" ], [ "Western Ontario", "0", "0", "0", "2", "2" ] ]
[ "Michigan" ]
of these, which have the highest amount of titles? || which teams have titles?
nt-8227
col : place | player | country | score | to par row 1 : 1 | dustin johnson | united states | 71-70-66=207 | -6 row 2 : 2 | graeme mcdowell | northern ireland | 71-68-71=210 | -3 row 3 : 3 | tiger woods | united states | 74-72-66=212 | -1 row 4 : t4 | ernie els | south africa | 73-68-72=213 | e row 5 : t4 | gregory havret | france | 73-71-69=213 | e row 6 : 6 | phil mickelson | united states | 75-66-73=214 | +1 row 7 : t7 | alex cejka | germany | 70-72-74=216 | +3 row 8 : t7 | tim clark | south africa | 72-72-72=216 | +3 row 9 : t7 | ryo ishikawa | japan | 70-71-75=216 | +3 row 10 : t10 | martin kaymer | germany | 74-71-72=217 | +4 row 11 : t10 | davis love iii | united states | 75-74-68=217 | +4 row 12 : t10 | sean o'hair | united states | 76-71-70=217 | +4
table_csv/203_134.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ] }
[ "who were all of the golfers?" ]
0
dustin johnson, graeme mcdowell, tiger woods, ernie els, gregory havret, phil mickelson, alex cejka, tim clark, ryo ishikawa, martin kaymer, davis love iii, sean o'hair
[ "Place", "Player", "Country", "Score", "To par" ]
who were all of the golfers?
[ [ "1", "Dustin Johnson", "United States", "71-70-66=207", "-6" ], [ "2", "Graeme McDowell", "Northern Ireland", "71-68-71=210", "-3" ], [ "3", "Tiger Woods", "United States", "74-72-66=212", "-1" ], [ "T4", "Ernie Els", "South Africa", "73-68-72=213", "E" ], [ "T4", "Gregory Havret", "France", "73-71-69=213", "E" ], [ "6", "Phil Mickelson", "United States", "75-66-73=214", "+1" ], [ "T7", "Alex Cejka", "Germany", "70-72-74=216", "+3" ], [ "T7", "Tim Clark", "South Africa", "72-72-72=216", "+3" ], [ "T7", "Ryo Ishikawa", "Japan", "70-71-75=216", "+3" ], [ "T10", "Martin Kaymer", "Germany", "74-71-72=217", "+4" ], [ "T10", "Davis Love III", "United States", "75-74-68=217", "+4" ], [ "T10", "Sean O'Hair", "United States", "76-71-70=217", "+4" ] ]
[ "Dustin Johnson", "Graeme McDowell", "Tiger Woods", "Ernie Els", "Gregory Havret", "Phil Mickelson", "Alex Cejka", "Tim Clark", "Ryo Ishikawa", "Martin Kaymer", "Davis Love III", "Sean O'Hair" ]
who were all of the golfers? ||
nt-8227
col : place | player | country | score | to par row 1 : 1 | dustin johnson | united states | 71-70-66=207 | -6 row 2 : 2 | graeme mcdowell | northern ireland | 71-68-71=210 | -3 row 3 : 3 | tiger woods | united states | 74-72-66=212 | -1 row 4 : t4 | ernie els | south africa | 73-68-72=213 | e row 5 : t4 | gregory havret | france | 73-71-69=213 | e row 6 : 6 | phil mickelson | united states | 75-66-73=214 | +1 row 7 : t7 | alex cejka | germany | 70-72-74=216 | +3 row 8 : t7 | tim clark | south africa | 72-72-72=216 | +3 row 9 : t7 | ryo ishikawa | japan | 70-71-75=216 | +3 row 10 : t10 | martin kaymer | germany | 74-71-72=217 | +4 row 11 : t10 | davis love iii | united states | 75-74-68=217 | +4 row 12 : t10 | sean o'hair | united states | 76-71-70=217 | +4
table_csv/203_134.csv
1
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ] }
[ "who were all of the golfers?", "what were their scores?" ]
0
71-70-66=207, 71-68-71=210, 74-72-66=212, 73-68-72=213, 73-71-69=213, 75-66-73=214, 70-72-74=216, 72-72-72=216, 70-71-75=216, 74-71-72=217, 75-74-68=217, 76-71-70=217
[ "Place", "Player", "Country", "Score", "To par" ]
what were their scores?
[ [ "1", "Dustin Johnson", "United States", "71-70-66=207", "-6" ], [ "2", "Graeme McDowell", "Northern Ireland", "71-68-71=210", "-3" ], [ "3", "Tiger Woods", "United States", "74-72-66=212", "-1" ], [ "T4", "Ernie Els", "South Africa", "73-68-72=213", "E" ], [ "T4", "Gregory Havret", "France", "73-71-69=213", "E" ], [ "6", "Phil Mickelson", "United States", "75-66-73=214", "+1" ], [ "T7", "Alex Cejka", "Germany", "70-72-74=216", "+3" ], [ "T7", "Tim Clark", "South Africa", "72-72-72=216", "+3" ], [ "T7", "Ryo Ishikawa", "Japan", "70-71-75=216", "+3" ], [ "T10", "Martin Kaymer", "Germany", "74-71-72=217", "+4" ], [ "T10", "Davis Love III", "United States", "75-74-68=217", "+4" ], [ "T10", "Sean O'Hair", "United States", "76-71-70=217", "+4" ] ]
[ "71-70-66=207", "71-68-71=210", "74-72-66=212", "73-68-72=213", "73-71-69=213", "75-66-73=214", "70-72-74=216", "72-72-72=216", "70-71-75=216", "74-71-72=217", "75-74-68=217", "76-71-70=217" ]
what were their scores? || who were all of the golfers?
nt-8227
col : place | player | country | score | to par row 1 : 1 | dustin johnson | united states | 71-70-66=207 | -6 row 2 : 2 | graeme mcdowell | northern ireland | 71-68-71=210 | -3 row 3 : 3 | tiger woods | united states | 74-72-66=212 | -1 row 4 : t4 | ernie els | south africa | 73-68-72=213 | e row 5 : t4 | gregory havret | france | 73-71-69=213 | e row 6 : 6 | phil mickelson | united states | 75-66-73=214 | +1 row 7 : t7 | alex cejka | germany | 70-72-74=216 | +3 row 8 : t7 | tim clark | south africa | 72-72-72=216 | +3 row 9 : t7 | ryo ishikawa | japan | 70-71-75=216 | +3 row 10 : t10 | martin kaymer | germany | 74-71-72=217 | +4 row 11 : t10 | davis love iii | united states | 75-74-68=217 | +4 row 12 : t10 | sean o'hair | united states | 76-71-70=217 | +4
table_csv/203_134.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "who were all of the golfers?", "what were their scores?", "and who had the fewest number of strokes?" ]
0
dustin johnson
[ "Place", "Player", "Country", "Score", "To par" ]
and who had the fewest number of strokes?
[ [ "1", "Dustin Johnson", "United States", "71-70-66=207", "-6" ], [ "2", "Graeme McDowell", "Northern Ireland", "71-68-71=210", "-3" ], [ "3", "Tiger Woods", "United States", "74-72-66=212", "-1" ], [ "T4", "Ernie Els", "South Africa", "73-68-72=213", "E" ], [ "T4", "Gregory Havret", "France", "73-71-69=213", "E" ], [ "6", "Phil Mickelson", "United States", "75-66-73=214", "+1" ], [ "T7", "Alex Cejka", "Germany", "70-72-74=216", "+3" ], [ "T7", "Tim Clark", "South Africa", "72-72-72=216", "+3" ], [ "T7", "Ryo Ishikawa", "Japan", "70-71-75=216", "+3" ], [ "T10", "Martin Kaymer", "Germany", "74-71-72=217", "+4" ], [ "T10", "Davis Love III", "United States", "75-74-68=217", "+4" ], [ "T10", "Sean O'Hair", "United States", "76-71-70=217", "+4" ] ]
[ "Dustin Johnson" ]
and who had the fewest number of strokes? || what were their scores? | who were all of the golfers?
nt-8227
col : place | player | country | score | to par row 1 : 1 | dustin johnson | united states | 71-70-66=207 | -6 row 2 : 2 | graeme mcdowell | northern ireland | 71-68-71=210 | -3 row 3 : 3 | tiger woods | united states | 74-72-66=212 | -1 row 4 : t4 | ernie els | south africa | 73-68-72=213 | e row 5 : t4 | gregory havret | france | 73-71-69=213 | e row 6 : 6 | phil mickelson | united states | 75-66-73=214 | +1 row 7 : t7 | alex cejka | germany | 70-72-74=216 | +3 row 8 : t7 | tim clark | south africa | 72-72-72=216 | +3 row 9 : t7 | ryo ishikawa | japan | 70-71-75=216 | +3 row 10 : t10 | martin kaymer | germany | 74-71-72=217 | +4 row 11 : t10 | davis love iii | united states | 75-74-68=217 | +4 row 12 : t10 | sean o'hair | united states | 76-71-70=217 | +4
table_csv/203_134.csv
0
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "who held second place in the 2010 u.s. open golf tournament?" ]
1
graeme mcdowell
[ "Place", "Player", "Country", "Score", "To par" ]
who held second place in the 2010 u.s. open golf tournament?
[ [ "1", "Dustin Johnson", "United States", "71-70-66=207", "-6" ], [ "2", "Graeme McDowell", "Northern Ireland", "71-68-71=210", "-3" ], [ "3", "Tiger Woods", "United States", "74-72-66=212", "-1" ], [ "T4", "Ernie Els", "South Africa", "73-68-72=213", "E" ], [ "T4", "Gregory Havret", "France", "73-71-69=213", "E" ], [ "6", "Phil Mickelson", "United States", "75-66-73=214", "+1" ], [ "T7", "Alex Cejka", "Germany", "70-72-74=216", "+3" ], [ "T7", "Tim Clark", "South Africa", "72-72-72=216", "+3" ], [ "T7", "Ryo Ishikawa", "Japan", "70-71-75=216", "+3" ], [ "T10", "Martin Kaymer", "Germany", "74-71-72=217", "+4" ], [ "T10", "Davis Love III", "United States", "75-74-68=217", "+4" ], [ "T10", "Sean O'Hair", "United States", "76-71-70=217", "+4" ] ]
[ "Graeme McDowell" ]
who held second place in the 2010 u.s. open golf tournament? ||
nt-8227
col : place | player | country | score | to par row 1 : 1 | dustin johnson | united states | 71-70-66=207 | -6 row 2 : 2 | graeme mcdowell | northern ireland | 71-68-71=210 | -3 row 3 : 3 | tiger woods | united states | 74-72-66=212 | -1 row 4 : t4 | ernie els | south africa | 73-68-72=213 | e row 5 : t4 | gregory havret | france | 73-71-69=213 | e row 6 : 6 | phil mickelson | united states | 75-66-73=214 | +1 row 7 : t7 | alex cejka | germany | 70-72-74=216 | +3 row 8 : t7 | tim clark | south africa | 72-72-72=216 | +3 row 9 : t7 | ryo ishikawa | japan | 70-71-75=216 | +3 row 10 : t10 | martin kaymer | germany | 74-71-72=217 | +4 row 11 : t10 | davis love iii | united states | 75-74-68=217 | +4 row 12 : t10 | sean o'hair | united states | 76-71-70=217 | +4
table_csv/203_134.csv
1
{ "column_index": [ 2 ], "row_index": [ 0 ] }
[ "who held second place in the 2010 u.s. open golf tournament?", "what country was the first place winner from?" ]
1
united states
[ "Place", "Player", "Country", "Score", "To par" ]
what country was the first place winner from?
[ [ "1", "Dustin Johnson", "United States", "71-70-66=207", "-6" ], [ "2", "Graeme McDowell", "Northern Ireland", "71-68-71=210", "-3" ], [ "3", "Tiger Woods", "United States", "74-72-66=212", "-1" ], [ "T4", "Ernie Els", "South Africa", "73-68-72=213", "E" ], [ "T4", "Gregory Havret", "France", "73-71-69=213", "E" ], [ "6", "Phil Mickelson", "United States", "75-66-73=214", "+1" ], [ "T7", "Alex Cejka", "Germany", "70-72-74=216", "+3" ], [ "T7", "Tim Clark", "South Africa", "72-72-72=216", "+3" ], [ "T7", "Ryo Ishikawa", "Japan", "70-71-75=216", "+3" ], [ "T10", "Martin Kaymer", "Germany", "74-71-72=217", "+4" ], [ "T10", "Davis Love III", "United States", "75-74-68=217", "+4" ], [ "T10", "Sean O'Hair", "United States", "76-71-70=217", "+4" ] ]
[ "United States" ]
what country was the first place winner from? || who held second place in the 2010 u.s. open golf tournament?
nt-8227
col : place | player | country | score | to par row 1 : 1 | dustin johnson | united states | 71-70-66=207 | -6 row 2 : 2 | graeme mcdowell | northern ireland | 71-68-71=210 | -3 row 3 : 3 | tiger woods | united states | 74-72-66=212 | -1 row 4 : t4 | ernie els | south africa | 73-68-72=213 | e row 5 : t4 | gregory havret | france | 73-71-69=213 | e row 6 : 6 | phil mickelson | united states | 75-66-73=214 | +1 row 7 : t7 | alex cejka | germany | 70-72-74=216 | +3 row 8 : t7 | tim clark | south africa | 72-72-72=216 | +3 row 9 : t7 | ryo ishikawa | japan | 70-71-75=216 | +3 row 10 : t10 | martin kaymer | germany | 74-71-72=217 | +4 row 11 : t10 | davis love iii | united states | 75-74-68=217 | +4 row 12 : t10 | sean o'hair | united states | 76-71-70=217 | +4
table_csv/203_134.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "who held second place in the 2010 u.s. open golf tournament?", "what country was the first place winner from?", "what was the name of the first place winner?" ]
1
dustin johnson
[ "Place", "Player", "Country", "Score", "To par" ]
what was the name of the first place winner?
[ [ "1", "Dustin Johnson", "United States", "71-70-66=207", "-6" ], [ "2", "Graeme McDowell", "Northern Ireland", "71-68-71=210", "-3" ], [ "3", "Tiger Woods", "United States", "74-72-66=212", "-1" ], [ "T4", "Ernie Els", "South Africa", "73-68-72=213", "E" ], [ "T4", "Gregory Havret", "France", "73-71-69=213", "E" ], [ "6", "Phil Mickelson", "United States", "75-66-73=214", "+1" ], [ "T7", "Alex Cejka", "Germany", "70-72-74=216", "+3" ], [ "T7", "Tim Clark", "South Africa", "72-72-72=216", "+3" ], [ "T7", "Ryo Ishikawa", "Japan", "70-71-75=216", "+3" ], [ "T10", "Martin Kaymer", "Germany", "74-71-72=217", "+4" ], [ "T10", "Davis Love III", "United States", "75-74-68=217", "+4" ], [ "T10", "Sean O'Hair", "United States", "76-71-70=217", "+4" ] ]
[ "Dustin Johnson" ]
what was the name of the first place winner? || what country was the first place winner from? | who held second place in the 2010 u.s. open golf tournament?
nt-8227
col : place | player | country | score | to par row 1 : 1 | dustin johnson | united states | 71-70-66=207 | -6 row 2 : 2 | graeme mcdowell | northern ireland | 71-68-71=210 | -3 row 3 : 3 | tiger woods | united states | 74-72-66=212 | -1 row 4 : t4 | ernie els | south africa | 73-68-72=213 | e row 5 : t4 | gregory havret | france | 73-71-69=213 | e row 6 : 6 | phil mickelson | united states | 75-66-73=214 | +1 row 7 : t7 | alex cejka | germany | 70-72-74=216 | +3 row 8 : t7 | tim clark | south africa | 72-72-72=216 | +3 row 9 : t7 | ryo ishikawa | japan | 70-71-75=216 | +3 row 10 : t10 | martin kaymer | germany | 74-71-72=217 | +4 row 11 : t10 | davis love iii | united states | 75-74-68=217 | +4 row 12 : t10 | sean o'hair | united states | 76-71-70=217 | +4
table_csv/203_134.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ] }
[ "who was in the 2010 us open?" ]
2
dustin johnson, graeme mcdowell, tiger woods, ernie els, gregory havret, phil mickelson, alex cejka, tim clark, ryo ishikawa, martin kaymer, davis love iii, sean o'hair
[ "Place", "Player", "Country", "Score", "To par" ]
who was in the 2010 us open?
[ [ "1", "Dustin Johnson", "United States", "71-70-66=207", "-6" ], [ "2", "Graeme McDowell", "Northern Ireland", "71-68-71=210", "-3" ], [ "3", "Tiger Woods", "United States", "74-72-66=212", "-1" ], [ "T4", "Ernie Els", "South Africa", "73-68-72=213", "E" ], [ "T4", "Gregory Havret", "France", "73-71-69=213", "E" ], [ "6", "Phil Mickelson", "United States", "75-66-73=214", "+1" ], [ "T7", "Alex Cejka", "Germany", "70-72-74=216", "+3" ], [ "T7", "Tim Clark", "South Africa", "72-72-72=216", "+3" ], [ "T7", "Ryo Ishikawa", "Japan", "70-71-75=216", "+3" ], [ "T10", "Martin Kaymer", "Germany", "74-71-72=217", "+4" ], [ "T10", "Davis Love III", "United States", "75-74-68=217", "+4" ], [ "T10", "Sean O'Hair", "United States", "76-71-70=217", "+4" ] ]
[ "Dustin Johnson", "Graeme McDowell", "Tiger Woods", "Ernie Els", "Gregory Havret", "Phil Mickelson", "Alex Cejka", "Tim Clark", "Ryo Ishikawa", "Martin Kaymer", "Davis Love III", "Sean O'Hair" ]
who was in the 2010 us open? ||
nt-8227
col : place | player | country | score | to par row 1 : 1 | dustin johnson | united states | 71-70-66=207 | -6 row 2 : 2 | graeme mcdowell | northern ireland | 71-68-71=210 | -3 row 3 : 3 | tiger woods | united states | 74-72-66=212 | -1 row 4 : t4 | ernie els | south africa | 73-68-72=213 | e row 5 : t4 | gregory havret | france | 73-71-69=213 | e row 6 : 6 | phil mickelson | united states | 75-66-73=214 | +1 row 7 : t7 | alex cejka | germany | 70-72-74=216 | +3 row 8 : t7 | tim clark | south africa | 72-72-72=216 | +3 row 9 : t7 | ryo ishikawa | japan | 70-71-75=216 | +3 row 10 : t10 | martin kaymer | germany | 74-71-72=217 | +4 row 11 : t10 | davis love iii | united states | 75-74-68=217 | +4 row 12 : t10 | sean o'hair | united states | 76-71-70=217 | +4
table_csv/203_134.csv
1
{ "column_index": [ 1, 1, 1, 1, 1 ], "row_index": [ 0, 2, 5, 10, 11 ] }
[ "who was in the 2010 us open?", "of these, who was from the winning country?" ]
2
dustin johnson, tiger woods, phil mickelson, davis love iii, sean o'hair
[ "Place", "Player", "Country", "Score", "To par" ]
of these, who was from the winning country?
[ [ "1", "Dustin Johnson", "United States", "71-70-66=207", "-6" ], [ "2", "Graeme McDowell", "Northern Ireland", "71-68-71=210", "-3" ], [ "3", "Tiger Woods", "United States", "74-72-66=212", "-1" ], [ "T4", "Ernie Els", "South Africa", "73-68-72=213", "E" ], [ "T4", "Gregory Havret", "France", "73-71-69=213", "E" ], [ "6", "Phil Mickelson", "United States", "75-66-73=214", "+1" ], [ "T7", "Alex Cejka", "Germany", "70-72-74=216", "+3" ], [ "T7", "Tim Clark", "South Africa", "72-72-72=216", "+3" ], [ "T7", "Ryo Ishikawa", "Japan", "70-71-75=216", "+3" ], [ "T10", "Martin Kaymer", "Germany", "74-71-72=217", "+4" ], [ "T10", "Davis Love III", "United States", "75-74-68=217", "+4" ], [ "T10", "Sean O'Hair", "United States", "76-71-70=217", "+4" ] ]
[ "Dustin Johnson", "Tiger Woods", "Phil Mickelson", "Davis Love III", "Sean O'Hair" ]
of these, who was from the winning country? || who was in the 2010 us open?
nt-8227
col : place | player | country | score | to par row 1 : 1 | dustin johnson | united states | 71-70-66=207 | -6 row 2 : 2 | graeme mcdowell | northern ireland | 71-68-71=210 | -3 row 3 : 3 | tiger woods | united states | 74-72-66=212 | -1 row 4 : t4 | ernie els | south africa | 73-68-72=213 | e row 5 : t4 | gregory havret | france | 73-71-69=213 | e row 6 : 6 | phil mickelson | united states | 75-66-73=214 | +1 row 7 : t7 | alex cejka | germany | 70-72-74=216 | +3 row 8 : t7 | tim clark | south africa | 72-72-72=216 | +3 row 9 : t7 | ryo ishikawa | japan | 70-71-75=216 | +3 row 10 : t10 | martin kaymer | germany | 74-71-72=217 | +4 row 11 : t10 | davis love iii | united states | 75-74-68=217 | +4 row 12 : t10 | sean o'hair | united states | 76-71-70=217 | +4
table_csv/203_134.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "who was in the 2010 us open?", "of these, who was from the winning country?", "who was the overall winner?" ]
2
dustin johnson
[ "Place", "Player", "Country", "Score", "To par" ]
who was the overall winner?
[ [ "1", "Dustin Johnson", "United States", "71-70-66=207", "-6" ], [ "2", "Graeme McDowell", "Northern Ireland", "71-68-71=210", "-3" ], [ "3", "Tiger Woods", "United States", "74-72-66=212", "-1" ], [ "T4", "Ernie Els", "South Africa", "73-68-72=213", "E" ], [ "T4", "Gregory Havret", "France", "73-71-69=213", "E" ], [ "6", "Phil Mickelson", "United States", "75-66-73=214", "+1" ], [ "T7", "Alex Cejka", "Germany", "70-72-74=216", "+3" ], [ "T7", "Tim Clark", "South Africa", "72-72-72=216", "+3" ], [ "T7", "Ryo Ishikawa", "Japan", "70-71-75=216", "+3" ], [ "T10", "Martin Kaymer", "Germany", "74-71-72=217", "+4" ], [ "T10", "Davis Love III", "United States", "75-74-68=217", "+4" ], [ "T10", "Sean O'Hair", "United States", "76-71-70=217", "+4" ] ]
[ "Dustin Johnson" ]
who was the overall winner? || of these, who was from the winning country? | who was in the 2010 us open?
nt-1374
col : region | date | format | version(s) | label row 1 : france | september 4, 2012 | digital download | main single inferno remix bluelight remix | sony music row 2 : germany | september 4, 2012 | digital download | inferno remix | sony music row 3 : united states | september 4, 2012 | digital download | main single inferno remix bluelight remix | rca records row 4 : united states | september 11, 2012 | rhythmic airplay urban airplay | inferno remix | rca records row 5 : united states | september 11, 2012 | urban ac airplay | bluelight remix | rca records row 6 : united states | october 16, 2012 | mainstream airplay | main single inferno remix | rca records row 7 : united states | october 16, 2012 | hot adult contemporary airplay | main single | rca records row 8 : germany | november 2, 2012 | cd single | main single inferno remix | sony music row 9 : united kingdom | november 18, 2012 | digital ep | main single bluelight remix inferno remix instrumental | rca records row 10 : united states | march 18, 2013 | adult contemporary airplay | main single | rca records
table_csv/204_17.csv
0
{ "column_index": [ 0, 0 ], "row_index": [ 0, 2 ] }
[ "in what regions were the versions main single remix bluelight remix released?" ]
0
france, united states
[ "Region", "Date", "Format", "Version(s)", "Label" ]
in what regions were the versions main single remix bluelight remix released?
[ [ "France", "September 4, 2012", "Digital download", "Main single Inferno remix Bluelight remix", "Sony Music" ], [ "Germany", "September 4, 2012", "Digital download", "Inferno remix", "Sony Music" ], [ "United States", "September 4, 2012", "Digital download", "Main single Inferno remix Bluelight remix", "RCA Records" ], [ "United States", "September 11, 2012", "Rhythmic airplay Urban airplay", "Inferno remix", "RCA Records" ], [ "United States", "September 11, 2012", "Urban AC airplay", "Bluelight remix", "RCA Records" ], [ "United States", "October 16, 2012", "Mainstream airplay", "Main Single Inferno remix", "RCA Records" ], [ "United States", "October 16, 2012", "Hot Adult Contemporary airplay", "Main Single", "RCA Records" ], [ "Germany", "November 2, 2012", "CD single", "Main single Inferno remix", "Sony Music" ], [ "United Kingdom", "November 18, 2012", "Digital EP", "Main Single Bluelight remix Inferno remix Instrumental", "RCA Records" ], [ "United States", "March 18, 2013", "Adult Contemporary airplay", "Main Single", "RCA Records" ] ]
[ "France", "United States" ]
in what regions were the versions main single remix bluelight remix released? ||
nt-1374
col : region | date | format | version(s) | label row 1 : france | september 4, 2012 | digital download | main single inferno remix bluelight remix | sony music row 2 : germany | september 4, 2012 | digital download | inferno remix | sony music row 3 : united states | september 4, 2012 | digital download | main single inferno remix bluelight remix | rca records row 4 : united states | september 11, 2012 | rhythmic airplay urban airplay | inferno remix | rca records row 5 : united states | september 11, 2012 | urban ac airplay | bluelight remix | rca records row 6 : united states | october 16, 2012 | mainstream airplay | main single inferno remix | rca records row 7 : united states | october 16, 2012 | hot adult contemporary airplay | main single | rca records row 8 : germany | november 2, 2012 | cd single | main single inferno remix | sony music row 9 : united kingdom | november 18, 2012 | digital ep | main single bluelight remix inferno remix instrumental | rca records row 10 : united states | march 18, 2013 | adult contemporary airplay | main single | rca records
table_csv/204_17.csv
1
{ "column_index": [ 4, 4 ], "row_index": [ 0, 2 ] }
[ "in what regions were the versions main single remix bluelight remix released?", "labels released these remixes in those regions?" ]
0
sony music, rca records
[ "Region", "Date", "Format", "Version(s)", "Label" ]
labels released these remixes in those regions?
[ [ "France", "September 4, 2012", "Digital download", "Main single Inferno remix Bluelight remix", "Sony Music" ], [ "Germany", "September 4, 2012", "Digital download", "Inferno remix", "Sony Music" ], [ "United States", "September 4, 2012", "Digital download", "Main single Inferno remix Bluelight remix", "RCA Records" ], [ "United States", "September 11, 2012", "Rhythmic airplay Urban airplay", "Inferno remix", "RCA Records" ], [ "United States", "September 11, 2012", "Urban AC airplay", "Bluelight remix", "RCA Records" ], [ "United States", "October 16, 2012", "Mainstream airplay", "Main Single Inferno remix", "RCA Records" ], [ "United States", "October 16, 2012", "Hot Adult Contemporary airplay", "Main Single", "RCA Records" ], [ "Germany", "November 2, 2012", "CD single", "Main single Inferno remix", "Sony Music" ], [ "United Kingdom", "November 18, 2012", "Digital EP", "Main Single Bluelight remix Inferno remix Instrumental", "RCA Records" ], [ "United States", "March 18, 2013", "Adult Contemporary airplay", "Main Single", "RCA Records" ] ]
[ "Sony Music", "RCA Records" ]
labels released these remixes in those regions? || in what regions were the versions main single remix bluelight remix released?
nt-1374
col : region | date | format | version(s) | label row 1 : france | september 4, 2012 | digital download | main single inferno remix bluelight remix | sony music row 2 : germany | september 4, 2012 | digital download | inferno remix | sony music row 3 : united states | september 4, 2012 | digital download | main single inferno remix bluelight remix | rca records row 4 : united states | september 11, 2012 | rhythmic airplay urban airplay | inferno remix | rca records row 5 : united states | september 11, 2012 | urban ac airplay | bluelight remix | rca records row 6 : united states | october 16, 2012 | mainstream airplay | main single inferno remix | rca records row 7 : united states | october 16, 2012 | hot adult contemporary airplay | main single | rca records row 8 : germany | november 2, 2012 | cd single | main single inferno remix | sony music row 9 : united kingdom | november 18, 2012 | digital ep | main single bluelight remix inferno remix instrumental | rca records row 10 : united states | march 18, 2013 | adult contemporary airplay | main single | rca records
table_csv/204_17.csv
2
{ "column_index": [ 4 ], "row_index": [ 0 ] }
[ "in what regions were the versions main single remix bluelight remix released?", "labels released these remixes in those regions?", "listed alphabetically what label's name would be listed last?" ]
0
sony music
[ "Region", "Date", "Format", "Version(s)", "Label" ]
listed alphabetically what label's name would be listed last?
[ [ "France", "September 4, 2012", "Digital download", "Main single Inferno remix Bluelight remix", "Sony Music" ], [ "Germany", "September 4, 2012", "Digital download", "Inferno remix", "Sony Music" ], [ "United States", "September 4, 2012", "Digital download", "Main single Inferno remix Bluelight remix", "RCA Records" ], [ "United States", "September 11, 2012", "Rhythmic airplay Urban airplay", "Inferno remix", "RCA Records" ], [ "United States", "September 11, 2012", "Urban AC airplay", "Bluelight remix", "RCA Records" ], [ "United States", "October 16, 2012", "Mainstream airplay", "Main Single Inferno remix", "RCA Records" ], [ "United States", "October 16, 2012", "Hot Adult Contemporary airplay", "Main Single", "RCA Records" ], [ "Germany", "November 2, 2012", "CD single", "Main single Inferno remix", "Sony Music" ], [ "United Kingdom", "November 18, 2012", "Digital EP", "Main Single Bluelight remix Inferno remix Instrumental", "RCA Records" ], [ "United States", "March 18, 2013", "Adult Contemporary airplay", "Main Single", "RCA Records" ] ]
[ "Sony Music" ]
listed alphabetically what label's name would be listed last? || labels released these remixes in those regions? | in what regions were the versions main single remix bluelight remix released?
nt-1374
col : region | date | format | version(s) | label row 1 : france | september 4, 2012 | digital download | main single inferno remix bluelight remix | sony music row 2 : germany | september 4, 2012 | digital download | inferno remix | sony music row 3 : united states | september 4, 2012 | digital download | main single inferno remix bluelight remix | rca records row 4 : united states | september 11, 2012 | rhythmic airplay urban airplay | inferno remix | rca records row 5 : united states | september 11, 2012 | urban ac airplay | bluelight remix | rca records row 6 : united states | october 16, 2012 | mainstream airplay | main single inferno remix | rca records row 7 : united states | october 16, 2012 | hot adult contemporary airplay | main single | rca records row 8 : germany | november 2, 2012 | cd single | main single inferno remix | sony music row 9 : united kingdom | november 18, 2012 | digital ep | main single bluelight remix inferno remix instrumental | rca records row 10 : united states | march 18, 2013 | adult contemporary airplay | main single | rca records
table_csv/204_17.csv
3
{ "column_index": [ 0 ], "row_index": [ 0 ] }
[ "in what regions were the versions main single remix bluelight remix released?", "labels released these remixes in those regions?", "listed alphabetically what label's name would be listed last?", "of sony music's regions in which one did they release a digital download in september 4th 2012?" ]
0
france
[ "Region", "Date", "Format", "Version(s)", "Label" ]
of sony music's regions in which one did they release a digital download in september 4th 2012?
[ [ "France", "September 4, 2012", "Digital download", "Main single Inferno remix Bluelight remix", "Sony Music" ], [ "Germany", "September 4, 2012", "Digital download", "Inferno remix", "Sony Music" ], [ "United States", "September 4, 2012", "Digital download", "Main single Inferno remix Bluelight remix", "RCA Records" ], [ "United States", "September 11, 2012", "Rhythmic airplay Urban airplay", "Inferno remix", "RCA Records" ], [ "United States", "September 11, 2012", "Urban AC airplay", "Bluelight remix", "RCA Records" ], [ "United States", "October 16, 2012", "Mainstream airplay", "Main Single Inferno remix", "RCA Records" ], [ "United States", "October 16, 2012", "Hot Adult Contemporary airplay", "Main Single", "RCA Records" ], [ "Germany", "November 2, 2012", "CD single", "Main single Inferno remix", "Sony Music" ], [ "United Kingdom", "November 18, 2012", "Digital EP", "Main Single Bluelight remix Inferno remix Instrumental", "RCA Records" ], [ "United States", "March 18, 2013", "Adult Contemporary airplay", "Main Single", "RCA Records" ] ]
[ "France" ]
of sony music's regions in which one did they release a digital download in september 4th 2012? || listed alphabetically what label's name would be listed last? | labels released these remixes in those regions? | in what regions were the versions main single remix bluelight remix released?
nt-1374
col : region | date | format | version(s) | label row 1 : france | september 4, 2012 | digital download | main single inferno remix bluelight remix | sony music row 2 : germany | september 4, 2012 | digital download | inferno remix | sony music row 3 : united states | september 4, 2012 | digital download | main single inferno remix bluelight remix | rca records row 4 : united states | september 11, 2012 | rhythmic airplay urban airplay | inferno remix | rca records row 5 : united states | september 11, 2012 | urban ac airplay | bluelight remix | rca records row 6 : united states | october 16, 2012 | mainstream airplay | main single inferno remix | rca records row 7 : united states | october 16, 2012 | hot adult contemporary airplay | main single | rca records row 8 : germany | november 2, 2012 | cd single | main single inferno remix | sony music row 9 : united kingdom | november 18, 2012 | digital ep | main single bluelight remix inferno remix instrumental | rca records row 10 : united states | march 18, 2013 | adult contemporary airplay | main single | rca records
table_csv/204_17.csv
0
{ "column_index": [ 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 8 ] }
[ "which countries released the song girl on fire" ]
1
france, germany, united states, united kingdom
[ "Region", "Date", "Format", "Version(s)", "Label" ]
which countries released the song girl on fire
[ [ "France", "September 4, 2012", "Digital download", "Main single Inferno remix Bluelight remix", "Sony Music" ], [ "Germany", "September 4, 2012", "Digital download", "Inferno remix", "Sony Music" ], [ "United States", "September 4, 2012", "Digital download", "Main single Inferno remix Bluelight remix", "RCA Records" ], [ "United States", "September 11, 2012", "Rhythmic airplay Urban airplay", "Inferno remix", "RCA Records" ], [ "United States", "September 11, 2012", "Urban AC airplay", "Bluelight remix", "RCA Records" ], [ "United States", "October 16, 2012", "Mainstream airplay", "Main Single Inferno remix", "RCA Records" ], [ "United States", "October 16, 2012", "Hot Adult Contemporary airplay", "Main Single", "RCA Records" ], [ "Germany", "November 2, 2012", "CD single", "Main single Inferno remix", "Sony Music" ], [ "United Kingdom", "November 18, 2012", "Digital EP", "Main Single Bluelight remix Inferno remix Instrumental", "RCA Records" ], [ "United States", "March 18, 2013", "Adult Contemporary airplay", "Main Single", "RCA Records" ] ]
[ "France", "Germany", "United States", "United Kingdom" ]
which countries released the song girl on fire ||
nt-1374
col : region | date | format | version(s) | label row 1 : france | september 4, 2012 | digital download | main single inferno remix bluelight remix | sony music row 2 : germany | september 4, 2012 | digital download | inferno remix | sony music row 3 : united states | september 4, 2012 | digital download | main single inferno remix bluelight remix | rca records row 4 : united states | september 11, 2012 | rhythmic airplay urban airplay | inferno remix | rca records row 5 : united states | september 11, 2012 | urban ac airplay | bluelight remix | rca records row 6 : united states | october 16, 2012 | mainstream airplay | main single inferno remix | rca records row 7 : united states | october 16, 2012 | hot adult contemporary airplay | main single | rca records row 8 : germany | november 2, 2012 | cd single | main single inferno remix | sony music row 9 : united kingdom | november 18, 2012 | digital ep | main single bluelight remix inferno remix instrumental | rca records row 10 : united states | march 18, 2013 | adult contemporary airplay | main single | rca records
table_csv/204_17.csv
1
{ "column_index": [ 0 ], "row_index": [ 0 ] }
[ "which countries released the song girl on fire", "which country other than france released this song through sony music?" ]
1
france
[ "Region", "Date", "Format", "Version(s)", "Label" ]
which country other than france released this song through sony music?
[ [ "France", "September 4, 2012", "Digital download", "Main single Inferno remix Bluelight remix", "Sony Music" ], [ "Germany", "September 4, 2012", "Digital download", "Inferno remix", "Sony Music" ], [ "United States", "September 4, 2012", "Digital download", "Main single Inferno remix Bluelight remix", "RCA Records" ], [ "United States", "September 11, 2012", "Rhythmic airplay Urban airplay", "Inferno remix", "RCA Records" ], [ "United States", "September 11, 2012", "Urban AC airplay", "Bluelight remix", "RCA Records" ], [ "United States", "October 16, 2012", "Mainstream airplay", "Main Single Inferno remix", "RCA Records" ], [ "United States", "October 16, 2012", "Hot Adult Contemporary airplay", "Main Single", "RCA Records" ], [ "Germany", "November 2, 2012", "CD single", "Main single Inferno remix", "Sony Music" ], [ "United Kingdom", "November 18, 2012", "Digital EP", "Main Single Bluelight remix Inferno remix Instrumental", "RCA Records" ], [ "United States", "March 18, 2013", "Adult Contemporary airplay", "Main Single", "RCA Records" ] ]
[ "France" ]
which country other than france released this song through sony music? || which countries released the song girl on fire
nt-1374
col : region | date | format | version(s) | label row 1 : france | september 4, 2012 | digital download | main single inferno remix bluelight remix | sony music row 2 : germany | september 4, 2012 | digital download | inferno remix | sony music row 3 : united states | september 4, 2012 | digital download | main single inferno remix bluelight remix | rca records row 4 : united states | september 11, 2012 | rhythmic airplay urban airplay | inferno remix | rca records row 5 : united states | september 11, 2012 | urban ac airplay | bluelight remix | rca records row 6 : united states | october 16, 2012 | mainstream airplay | main single inferno remix | rca records row 7 : united states | october 16, 2012 | hot adult contemporary airplay | main single | rca records row 8 : germany | november 2, 2012 | cd single | main single inferno remix | sony music row 9 : united kingdom | november 18, 2012 | digital ep | main single bluelight remix inferno remix instrumental | rca records row 10 : united states | march 18, 2013 | adult contemporary airplay | main single | rca records
table_csv/204_17.csv
0
{ "column_index": [ 4 ], "row_index": [ 1 ] }
[ "what label did germany have on its release?" ]
2
sony music
[ "Region", "Date", "Format", "Version(s)", "Label" ]
what label did germany have on its release?
[ [ "France", "September 4, 2012", "Digital download", "Main single Inferno remix Bluelight remix", "Sony Music" ], [ "Germany", "September 4, 2012", "Digital download", "Inferno remix", "Sony Music" ], [ "United States", "September 4, 2012", "Digital download", "Main single Inferno remix Bluelight remix", "RCA Records" ], [ "United States", "September 11, 2012", "Rhythmic airplay Urban airplay", "Inferno remix", "RCA Records" ], [ "United States", "September 11, 2012", "Urban AC airplay", "Bluelight remix", "RCA Records" ], [ "United States", "October 16, 2012", "Mainstream airplay", "Main Single Inferno remix", "RCA Records" ], [ "United States", "October 16, 2012", "Hot Adult Contemporary airplay", "Main Single", "RCA Records" ], [ "Germany", "November 2, 2012", "CD single", "Main single Inferno remix", "Sony Music" ], [ "United Kingdom", "November 18, 2012", "Digital EP", "Main Single Bluelight remix Inferno remix Instrumental", "RCA Records" ], [ "United States", "March 18, 2013", "Adult Contemporary airplay", "Main Single", "RCA Records" ] ]
[ "Sony Music" ]
what label did germany have on its release? ||
nt-1374
col : region | date | format | version(s) | label row 1 : france | september 4, 2012 | digital download | main single inferno remix bluelight remix | sony music row 2 : germany | september 4, 2012 | digital download | inferno remix | sony music row 3 : united states | september 4, 2012 | digital download | main single inferno remix bluelight remix | rca records row 4 : united states | september 11, 2012 | rhythmic airplay urban airplay | inferno remix | rca records row 5 : united states | september 11, 2012 | urban ac airplay | bluelight remix | rca records row 6 : united states | october 16, 2012 | mainstream airplay | main single inferno remix | rca records row 7 : united states | october 16, 2012 | hot adult contemporary airplay | main single | rca records row 8 : germany | november 2, 2012 | cd single | main single inferno remix | sony music row 9 : united kingdom | november 18, 2012 | digital ep | main single bluelight remix inferno remix instrumental | rca records row 10 : united states | march 18, 2013 | adult contemporary airplay | main single | rca records
table_csv/204_17.csv
1
{ "column_index": [ 0 ], "row_index": [ 0 ] }
[ "what label did germany have on its release?", "which country has the same label?" ]
2
france
[ "Region", "Date", "Format", "Version(s)", "Label" ]
which country has the same label?
[ [ "France", "September 4, 2012", "Digital download", "Main single Inferno remix Bluelight remix", "Sony Music" ], [ "Germany", "September 4, 2012", "Digital download", "Inferno remix", "Sony Music" ], [ "United States", "September 4, 2012", "Digital download", "Main single Inferno remix Bluelight remix", "RCA Records" ], [ "United States", "September 11, 2012", "Rhythmic airplay Urban airplay", "Inferno remix", "RCA Records" ], [ "United States", "September 11, 2012", "Urban AC airplay", "Bluelight remix", "RCA Records" ], [ "United States", "October 16, 2012", "Mainstream airplay", "Main Single Inferno remix", "RCA Records" ], [ "United States", "October 16, 2012", "Hot Adult Contemporary airplay", "Main Single", "RCA Records" ], [ "Germany", "November 2, 2012", "CD single", "Main single Inferno remix", "Sony Music" ], [ "United Kingdom", "November 18, 2012", "Digital EP", "Main Single Bluelight remix Inferno remix Instrumental", "RCA Records" ], [ "United States", "March 18, 2013", "Adult Contemporary airplay", "Main Single", "RCA Records" ] ]
[ "France" ]
which country has the same label? || what label did germany have on its release?