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ns-3031
col : year | location | men's individual | women's individual | men's team | women's team | mixed team | ref row 1 : 1996 | vaulx-en-velin | franck dauphin (fra) | anna campagnoli (ita) | nan | nan | nan | [226] row 2 : 1998 | taoyuan | john blaschke (usa) | shih ya-ping (tpe) | united states | chinese taipei | nan | [...
table_csv/204_132.csv
0
{ "column_index": [ 4, 5, 4, 5, 4, 4 ], "row_index": [ 1, 1, 4, 5, 6, 8 ] }
[ "what countries have teams that won the world archery championships?" ]
0
united states, chinese taipei, south korea, france, mexico, italy
[ "Year", "Location", "Men's Individual", "Women's Individual", "Men's Team", "Women's Team", "Mixed Team", "Ref" ]
what countries have teams that won the world archery championships?
[ [ "1996", "Vaulx-en-Velin", "Franck Dauphin (FRA)", "Anna Campagnoli (ITA)", "nan", "nan", "nan", "[226]" ], [ "1998", "Taoyuan", "John Blaschke (USA)", "Shih Ya-Ping (TPE)", "United States", "Chinese Taipei", "nan", "[227]" ], [ "2000", ...
[ "United States", "Chinese Taipei", "South Korea", "France", "Mexico", "Italy" ]
what countries have teams that won the world archery championships? ||
ns-3031
col : year | location | men's individual | women's individual | men's team | women's team | mixed team | ref row 1 : 1996 | vaulx-en-velin | franck dauphin (fra) | anna campagnoli (ita) | nan | nan | nan | [226] row 2 : 1998 | taoyuan | john blaschke (usa) | shih ya-ping (tpe) | united states | chinese taipei | nan | [...
table_csv/204_132.csv
1
{ "column_index": [ 5, 5, 5, 5 ], "row_index": [ 1, 2, 5, 6 ] }
[ "what countries have teams that won the world archery championships?", "of those countries that have winning teams, which have wining women's teams?" ]
0
chinese taipei, united states, france, south korea
[ "Year", "Location", "Men's Individual", "Women's Individual", "Men's Team", "Women's Team", "Mixed Team", "Ref" ]
of those countries that have winning teams, which have wining women's teams?
[ [ "1996", "Vaulx-en-Velin", "Franck Dauphin (FRA)", "Anna Campagnoli (ITA)", "nan", "nan", "nan", "[226]" ], [ "1998", "Taoyuan", "John Blaschke (USA)", "Shih Ya-Ping (TPE)", "United States", "Chinese Taipei", "nan", "[227]" ], [ "2000", ...
[ "Chinese Taipei", "United States", "France", "South Korea" ]
of those countries that have winning teams, which have wining women's teams? || what countries have teams that won the world archery championships?
ns-3031
col : year | location | men's individual | women's individual | men's team | women's team | mixed team | ref row 1 : 1996 | vaulx-en-velin | franck dauphin (fra) | anna campagnoli (ita) | nan | nan | nan | [226] row 2 : 1998 | taoyuan | john blaschke (usa) | shih ya-ping (tpe) | united states | chinese taipei | nan | [...
table_csv/204_132.csv
2
{ "column_index": [ 5 ], "row_index": [ 5 ] }
[ "what countries have teams that won the world archery championships?", "of those countries that have winning teams, which have wining women's teams?", "of those countries that have winning women's teams, which is the only european country?" ]
0
france
[ "Year", "Location", "Men's Individual", "Women's Individual", "Men's Team", "Women's Team", "Mixed Team", "Ref" ]
of those countries that have winning women's teams, which is the only european country?
[ [ "1996", "Vaulx-en-Velin", "Franck Dauphin (FRA)", "Anna Campagnoli (ITA)", "nan", "nan", "nan", "[226]" ], [ "1998", "Taoyuan", "John Blaschke (USA)", "Shih Ya-Ping (TPE)", "United States", "Chinese Taipei", "nan", "[227]" ], [ "2000", ...
[ "France" ]
of those countries that have winning women's teams, which is the only european country? || of those countries that have winning teams, which have wining women's teams? | what countries have teams that won the world archery championships?
ns-3031
col : year | location | men's individual | women's individual | men's team | women's team | mixed team | ref row 1 : 1996 | vaulx-en-velin | franck dauphin (fra) | anna campagnoli (ita) | nan | nan | nan | [226] row 2 : 1998 | taoyuan | john blaschke (usa) | shih ya-ping (tpe) | united states | chinese taipei | nan | [...
table_csv/204_132.csv
0
{ "column_index": [ 5, 5, 5, 5 ], "row_index": [ 1, 2, 5, 6 ] }
[ "what are all of the countries for the womens team?" ]
1
chinese taipei, united states, france, south korea
[ "Year", "Location", "Men's Individual", "Women's Individual", "Men's Team", "Women's Team", "Mixed Team", "Ref" ]
what are all of the countries for the womens team?
[ [ "1996", "Vaulx-en-Velin", "Franck Dauphin (FRA)", "Anna Campagnoli (ITA)", "nan", "nan", "nan", "[226]" ], [ "1998", "Taoyuan", "John Blaschke (USA)", "Shih Ya-Ping (TPE)", "United States", "Chinese Taipei", "nan", "[227]" ], [ "2000", ...
[ "Chinese Taipei", "United States", "France", "South Korea" ]
what are all of the countries for the womens team? ||
ns-3031
col : year | location | men's individual | women's individual | men's team | women's team | mixed team | ref row 1 : 1996 | vaulx-en-velin | franck dauphin (fra) | anna campagnoli (ita) | nan | nan | nan | [226] row 2 : 1998 | taoyuan | john blaschke (usa) | shih ya-ping (tpe) | united states | chinese taipei | nan | [...
table_csv/204_132.csv
1
{ "column_index": [ 5 ], "row_index": [ 5 ] }
[ "what are all of the countries for the womens team?", "of those, which one is from europe?" ]
1
france
[ "Year", "Location", "Men's Individual", "Women's Individual", "Men's Team", "Women's Team", "Mixed Team", "Ref" ]
of those, which one is from europe?
[ [ "1996", "Vaulx-en-Velin", "Franck Dauphin (FRA)", "Anna Campagnoli (ITA)", "nan", "nan", "nan", "[226]" ], [ "1998", "Taoyuan", "John Blaschke (USA)", "Shih Ya-Ping (TPE)", "United States", "Chinese Taipei", "nan", "[227]" ], [ "2000", ...
[ "France" ]
of those, which one is from europe? || what are all of the countries for the womens team?
ns-3031
col : year | location | men's individual | women's individual | men's team | women's team | mixed team | ref row 1 : 1996 | vaulx-en-velin | franck dauphin (fra) | anna campagnoli (ita) | nan | nan | nan | [226] row 2 : 1998 | taoyuan | john blaschke (usa) | shih ya-ping (tpe) | united states | chinese taipei | nan | [...
table_csv/204_132.csv
0
{ "column_index": [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what countries did the women's team compete in?" ]
2
, chinese taipei, united states, united states, united states, france, south korea, united states, united states,
[ "Year", "Location", "Men's Individual", "Women's Individual", "Men's Team", "Women's Team", "Mixed Team", "Ref" ]
what countries did the women's team compete in?
[ [ "1996", "Vaulx-en-Velin", "Franck Dauphin (FRA)", "Anna Campagnoli (ITA)", "nan", "nan", "nan", "[226]" ], [ "1998", "Taoyuan", "John Blaschke (USA)", "Shih Ya-Ping (TPE)", "United States", "Chinese Taipei", "nan", "[227]" ], [ "2000", ...
[ "", "Chinese Taipei", "United States", "United States", "United States", "France", "South Korea", "United States", "United States", "" ]
what countries did the women's team compete in? ||
ns-3031
col : year | location | men's individual | women's individual | men's team | women's team | mixed team | ref row 1 : 1996 | vaulx-en-velin | franck dauphin (fra) | anna campagnoli (ita) | nan | nan | nan | [226] row 2 : 1998 | taoyuan | john blaschke (usa) | shih ya-ping (tpe) | united states | chinese taipei | nan | [...
table_csv/204_132.csv
1
{ "column_index": [ 5 ], "row_index": [ 5 ] }
[ "what countries did the women's team compete in?", "which of those countries is located in europe?" ]
2
france
[ "Year", "Location", "Men's Individual", "Women's Individual", "Men's Team", "Women's Team", "Mixed Team", "Ref" ]
which of those countries is located in europe?
[ [ "1996", "Vaulx-en-Velin", "Franck Dauphin (FRA)", "Anna Campagnoli (ITA)", "nan", "nan", "nan", "[226]" ], [ "1998", "Taoyuan", "John Blaschke (USA)", "Shih Ya-Ping (TPE)", "United States", "Chinese Taipei", "nan", "[227]" ], [ "2000", ...
[ "France" ]
which of those countries is located in europe? || what countries did the women's team compete in?
ns-3030
col : rank | nation | gold | silver | bronze | total row 1 : 1 | united states | 12 | 13 | 6 | 31 row 2 : 2 | russia | 10 | 5 | 6 | 21 row 3 : 3 | australia | 8 | 12 | 6 | 26 row 4 : 4 | china | 7 | 4 | 8 | 19 row 5 : 5 | germany | 5 | 6 | 5 | 16 row 6 : 6 | japan | 3 | 3 | 3 | 9 row 7 : 7 | netherlands | 3 | 2 | 2 | 7...
table_csv/203_653.csv
0
{ "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 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 18...
[ "which countries won bronze medals?" ]
0
united states, russia, australia, china, germany, japan, netherlands, great britain, ukraine, italy, canada, hungary, spain, france, finland, slovakia, romania, bulgaria, mexico, serbia and montenegro, south africa, sweden, tunisia
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which countries won bronze medals?
[ [ "1", "United States", "12", "13", "6", "31" ], [ "2", "Russia", "10", "5", "6", "21" ], [ "3", "Australia", "8", "12", "6", "26" ], [ "4", "China", "7", "4", "8", "19" ], [ "5", "Germany", "...
[ "United States", "Russia", "Australia", "China", "Germany", "Japan", "Netherlands", "Great Britain", "Ukraine", "Italy", "Canada", "Hungary", "Spain", "France", "Finland", "Slovakia", "Romania", "Bulgaria", "Mexico", "Serbia and Montenegro", "South Africa", "Sweden", "Tun...
which countries won bronze medals? ||
ns-3030
col : rank | nation | gold | silver | bronze | total row 1 : 1 | united states | 12 | 13 | 6 | 31 row 2 : 2 | russia | 10 | 5 | 6 | 21 row 3 : 3 | australia | 8 | 12 | 6 | 26 row 4 : 4 | china | 7 | 4 | 8 | 19 row 5 : 5 | germany | 5 | 6 | 5 | 16 row 6 : 6 | japan | 3 | 3 | 3 | 9 row 7 : 7 | netherlands | 3 | 2 | 2 | 7...
table_csv/203_653.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 ], "row_index": [ 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, ...
[ "which countries won bronze medals?", "which countries won less than five bronze medals?" ]
0
japan, netherlands, great britain, ukraine, italy, canada, hungary, spain, poland, france, finland, belarus, czech republic, slovakia, denmark, croatia, romania, bulgaria, mexico, serbia and montenegro, south africa, sweden, tunisia
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which countries won less than five bronze medals?
[ [ "1", "United States", "12", "13", "6", "31" ], [ "2", "Russia", "10", "5", "6", "21" ], [ "3", "Australia", "8", "12", "6", "26" ], [ "4", "China", "7", "4", "8", "19" ], [ "5", "Germany", "...
[ "Japan", "Netherlands", "Great Britain", "Ukraine", "Italy", "Canada", "Hungary", "Spain", "Poland", "France", "Finland", "Belarus", "Czech Republic", "Slovakia", "Denmark", "Croatia", "Romania", "Bulgaria", "Mexico", "Serbia and Montenegro", "South Africa", "Sweden", "Tu...
which countries won less than five bronze medals? || which countries won bronze medals?
ns-3030
col : rank | nation | gold | silver | bronze | total row 1 : 1 | united states | 12 | 13 | 6 | 31 row 2 : 2 | russia | 10 | 5 | 6 | 21 row 3 : 3 | australia | 8 | 12 | 6 | 26 row 4 : 4 | china | 7 | 4 | 8 | 19 row 5 : 5 | germany | 5 | 6 | 5 | 16 row 6 : 6 | japan | 3 | 3 | 3 | 9 row 7 : 7 | netherlands | 3 | 2 | 2 | 7...
table_csv/203_653.csv
2
{ "column_index": [ 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4 ] }
[ "which countries won bronze medals?", "which countries won less than five bronze medals?", "which countries won five or more bronze medals?" ]
0
united states, russia, australia, china, germany
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which countries won five or more bronze medals?
[ [ "1", "United States", "12", "13", "6", "31" ], [ "2", "Russia", "10", "5", "6", "21" ], [ "3", "Australia", "8", "12", "6", "26" ], [ "4", "China", "7", "4", "8", "19" ], [ "5", "Germany", "...
[ "United States", "Russia", "Australia", "China", "Germany" ]
which countries won five or more bronze medals? || which countries won less than five bronze medals? | which countries won bronze medals?
ns-3030
col : rank | nation | gold | silver | bronze | total row 1 : 1 | united states | 12 | 13 | 6 | 31 row 2 : 2 | russia | 10 | 5 | 6 | 21 row 3 : 3 | australia | 8 | 12 | 6 | 26 row 4 : 4 | china | 7 | 4 | 8 | 19 row 5 : 5 | germany | 5 | 6 | 5 | 16 row 6 : 6 | japan | 3 | 3 | 3 | 9 row 7 : 7 | netherlands | 3 | 2 | 2 | 7...
table_csv/203_653.csv
3
{ "column_index": [ 1 ], "row_index": [ 4 ] }
[ "which countries won bronze medals?", "which countries won less than five bronze medals?", "which countries won five or more bronze medals?", "did great britain or germany win more bronze medals?" ]
0
germany
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
did great britain or germany win more bronze medals?
[ [ "1", "United States", "12", "13", "6", "31" ], [ "2", "Russia", "10", "5", "6", "21" ], [ "3", "Australia", "8", "12", "6", "26" ], [ "4", "China", "7", "4", "8", "19" ], [ "5", "Germany", "...
[ "Germany" ]
did great britain or germany win more bronze medals? || which countries won five or more bronze medals? | which countries won less than five bronze medals? | which countries won bronze medals?
ns-3030
col : rank | nation | gold | silver | bronze | total row 1 : 1 | united states | 12 | 13 | 6 | 31 row 2 : 2 | russia | 10 | 5 | 6 | 21 row 3 : 3 | australia | 8 | 12 | 6 | 26 row 4 : 4 | china | 7 | 4 | 8 | 19 row 5 : 5 | germany | 5 | 6 | 5 | 16 row 6 : 6 | japan | 3 | 3 | 3 | 9 row 7 : 7 | netherlands | 3 | 2 | 2 | 7...
table_csv/203_653.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 ] }
[ "which of the countries won 2 or more gold metals?" ]
1
united states, russia, australia, china, germany, japan, netherlands, great britain, ukraine, italy, canada
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which of the countries won 2 or more gold metals?
[ [ "1", "United States", "12", "13", "6", "31" ], [ "2", "Russia", "10", "5", "6", "21" ], [ "3", "Australia", "8", "12", "6", "26" ], [ "4", "China", "7", "4", "8", "19" ], [ "5", "Germany", "...
[ "United States", "Russia", "Australia", "China", "Germany", "Japan", "Netherlands", "Great Britain", "Ukraine", "Italy", "Canada" ]
which of the countries won 2 or more gold metals? ||
ns-3030
col : rank | nation | gold | silver | bronze | total row 1 : 1 | united states | 12 | 13 | 6 | 31 row 2 : 2 | russia | 10 | 5 | 6 | 21 row 3 : 3 | australia | 8 | 12 | 6 | 26 row 4 : 4 | china | 7 | 4 | 8 | 19 row 5 : 5 | germany | 5 | 6 | 5 | 16 row 6 : 6 | japan | 3 | 3 | 3 | 9 row 7 : 7 | netherlands | 3 | 2 | 2 | 7...
table_csv/203_653.csv
1
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 7, 8 ] }
[ "which of the countries won 2 or more gold metals?", "of these, which countries had at least three silver metals?" ]
1
united states, russia, australia, china, germany, japan, great britain, ukraine
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
of these, which countries had at least three silver metals?
[ [ "1", "United States", "12", "13", "6", "31" ], [ "2", "Russia", "10", "5", "6", "21" ], [ "3", "Australia", "8", "12", "6", "26" ], [ "4", "China", "7", "4", "8", "19" ], [ "5", "Germany", "...
[ "United States", "Russia", "Australia", "China", "Germany", "Japan", "Great Britain", "Ukraine" ]
of these, which countries had at least three silver metals? || which of the countries won 2 or more gold metals?
ns-3030
col : rank | nation | gold | silver | bronze | total row 1 : 1 | united states | 12 | 13 | 6 | 31 row 2 : 2 | russia | 10 | 5 | 6 | 21 row 3 : 3 | australia | 8 | 12 | 6 | 26 row 4 : 4 | china | 7 | 4 | 8 | 19 row 5 : 5 | germany | 5 | 6 | 5 | 16 row 6 : 6 | japan | 3 | 3 | 3 | 9 row 7 : 7 | netherlands | 3 | 2 | 2 | 7...
table_csv/203_653.csv
2
{ "column_index": [ 1 ], "row_index": [ 4 ] }
[ "which of the countries won 2 or more gold metals?", "of these, which countries had at least three silver metals?", "which country won more bronze metals, germany or great britain?" ]
1
germany
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which country won more bronze metals, germany or great britain?
[ [ "1", "United States", "12", "13", "6", "31" ], [ "2", "Russia", "10", "5", "6", "21" ], [ "3", "Australia", "8", "12", "6", "26" ], [ "4", "China", "7", "4", "8", "19" ], [ "5", "Germany", "...
[ "Germany" ]
which country won more bronze metals, germany or great britain? || of these, which countries had at least three silver metals? | which of the countries won 2 or more gold metals?
ns-3030
col : rank | nation | gold | silver | bronze | total row 1 : 1 | united states | 12 | 13 | 6 | 31 row 2 : 2 | russia | 10 | 5 | 6 | 21 row 3 : 3 | australia | 8 | 12 | 6 | 26 row 4 : 4 | china | 7 | 4 | 8 | 19 row 5 : 5 | germany | 5 | 6 | 5 | 16 row 6 : 6 | japan | 3 | 3 | 3 | 9 row 7 : 7 | netherlands | 3 | 2 | 2 | 7...
table_csv/203_653.csv
0
{ "column_index": [ 4 ], "row_index": [ 7 ] }
[ "how many bronze medals did great britain win?" ]
2
3
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
how many bronze medals did great britain win?
[ [ "1", "United States", "12", "13", "6", "31" ], [ "2", "Russia", "10", "5", "6", "21" ], [ "3", "Australia", "8", "12", "6", "26" ], [ "4", "China", "7", "4", "8", "19" ], [ "5", "Germany", "...
[ "3" ]
how many bronze medals did great britain win? ||
ns-3030
col : rank | nation | gold | silver | bronze | total row 1 : 1 | united states | 12 | 13 | 6 | 31 row 2 : 2 | russia | 10 | 5 | 6 | 21 row 3 : 3 | australia | 8 | 12 | 6 | 26 row 4 : 4 | china | 7 | 4 | 8 | 19 row 5 : 5 | germany | 5 | 6 | 5 | 16 row 6 : 6 | japan | 3 | 3 | 3 | 9 row 7 : 7 | netherlands | 3 | 2 | 2 | 7...
table_csv/203_653.csv
1
{ "column_index": [ 4 ], "row_index": [ 4 ] }
[ "how many bronze medals did great britain win?", "how many bronze medals did germany win?" ]
2
5
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
how many bronze medals did germany win?
[ [ "1", "United States", "12", "13", "6", "31" ], [ "2", "Russia", "10", "5", "6", "21" ], [ "3", "Australia", "8", "12", "6", "26" ], [ "4", "China", "7", "4", "8", "19" ], [ "5", "Germany", "...
[ "5" ]
how many bronze medals did germany win? || how many bronze medals did great britain win?
ns-3030
col : rank | nation | gold | silver | bronze | total row 1 : 1 | united states | 12 | 13 | 6 | 31 row 2 : 2 | russia | 10 | 5 | 6 | 21 row 3 : 3 | australia | 8 | 12 | 6 | 26 row 4 : 4 | china | 7 | 4 | 8 | 19 row 5 : 5 | germany | 5 | 6 | 5 | 16 row 6 : 6 | japan | 3 | 3 | 3 | 9 row 7 : 7 | netherlands | 3 | 2 | 2 | 7...
table_csv/203_653.csv
2
{ "column_index": [ 1 ], "row_index": [ 4 ] }
[ "how many bronze medals did great britain win?", "how many bronze medals did germany win?", "which country between great britain and germany won more bronze medals?" ]
2
germany
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which country between great britain and germany won more bronze medals?
[ [ "1", "United States", "12", "13", "6", "31" ], [ "2", "Russia", "10", "5", "6", "21" ], [ "3", "Australia", "8", "12", "6", "26" ], [ "4", "China", "7", "4", "8", "19" ], [ "5", "Germany", "...
[ "Germany" ]
which country between great britain and germany won more bronze medals? || how many bronze medals did germany win? | how many bronze medals did great britain win?
nt-9621
col : team | stadium | capacity | seated row 1 : merthyr town | penydarren park | 10,000 | - row 2 : paulton rovers | athletic field | 5,000 | 253 row 3 : evesham united | st george's lane* | 4,749 | nan row 4 : winchester city | the city ground | 4,500 | 180 row 5 : clevedon town | hand stadium | 3,500 | 300 row 6 : c...
table_csv/204_750.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 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 1...
[ "who are the teams in the 2012-13 southern football league?" ]
0
merthyr town, paulton rovers, evesham united, winchester city, clevedon town, cinderford town, tiverton town, wimborne town, didcot town, swindon supermarine, bridgwater town, hungerford town, mangotsfield united, taunton town, abingdon united, poole town, north leigh, yate town, bishop's cleeve, sholing, shortwood uni...
[ "Team", "Stadium", "Capacity", "Seated" ]
who are the teams in the 2012-13 southern football league?
[ [ "Merthyr Town", "Penydarren Park", "10,000", "-" ], [ "Paulton Rovers", "Athletic Field", "5,000", "253" ], [ "Evesham United", "St George's Lane*", "4,749", "nan" ], [ "Winchester City", "The City Ground", "4,500", "180" ], [ "Cl...
[ "Merthyr Town", "Paulton Rovers", "Evesham United", "Winchester City", "Clevedon Town", "Cinderford Town", "Tiverton Town", "Wimborne Town", "Didcot Town", "Swindon Supermarine", "Bridgwater Town", "Hungerford Town", "Mangotsfield United", "Taunton Town", "Abingdon United", "Poole Town...
who are the teams in the 2012-13 southern football league? ||
nt-9621
col : team | stadium | capacity | seated row 1 : merthyr town | penydarren park | 10,000 | - row 2 : paulton rovers | athletic field | 5,000 | 253 row 3 : evesham united | st george's lane* | 4,749 | nan row 4 : winchester city | the city ground | 4,500 | 180 row 5 : clevedon town | hand stadium | 3,500 | 300 row 6 : c...
table_csv/204_750.csv
1
{ "column_index": [ 2 ], "row_index": [ 8 ] }
[ "who are the teams in the 2012-13 southern football league?", "what is the capacity of didcot town's stadium?" ]
0
3,000
[ "Team", "Stadium", "Capacity", "Seated" ]
what is the capacity of didcot town's stadium?
[ [ "Merthyr Town", "Penydarren Park", "10,000", "-" ], [ "Paulton Rovers", "Athletic Field", "5,000", "253" ], [ "Evesham United", "St George's Lane*", "4,749", "nan" ], [ "Winchester City", "The City Ground", "4,500", "180" ], [ "Cl...
[ "3,000" ]
what is the capacity of didcot town's stadium? || who are the teams in the 2012-13 southern football league?
nt-9621
col : team | stadium | capacity | seated row 1 : merthyr town | penydarren park | 10,000 | - row 2 : paulton rovers | athletic field | 5,000 | 253 row 3 : evesham united | st george's lane* | 4,749 | nan row 4 : winchester city | the city ground | 4,500 | 180 row 5 : clevedon town | hand stadium | 3,500 | 300 row 6 : c...
table_csv/204_750.csv
2
{ "column_index": [ 0 ], "row_index": [ 9 ] }
[ "who are the teams in the 2012-13 southern football league?", "what is the capacity of didcot town's stadium?", "which of these teams has a stadium with the same capacity?" ]
0
swindon supermarine
[ "Team", "Stadium", "Capacity", "Seated" ]
which of these teams has a stadium with the same capacity?
[ [ "Merthyr Town", "Penydarren Park", "10,000", "-" ], [ "Paulton Rovers", "Athletic Field", "5,000", "253" ], [ "Evesham United", "St George's Lane*", "4,749", "nan" ], [ "Winchester City", "The City Ground", "4,500", "180" ], [ "Cl...
[ "Swindon Supermarine" ]
which of these teams has a stadium with the same capacity? || what is the capacity of didcot town's stadium? | who are the teams in the 2012-13 southern football league?
nt-9621
col : team | stadium | capacity | seated row 1 : merthyr town | penydarren park | 10,000 | - row 2 : paulton rovers | athletic field | 5,000 | 253 row 3 : evesham united | st george's lane* | 4,749 | nan row 4 : winchester city | the city ground | 4,500 | 180 row 5 : clevedon town | hand stadium | 3,500 | 300 row 6 : c...
table_csv/204_750.csv
0
{ "column_index": [ 2 ], "row_index": [ 0 ] }
[ "how much capacity does penydarren park stadium hold?" ]
1
10,000
[ "Team", "Stadium", "Capacity", "Seated" ]
how much capacity does penydarren park stadium hold?
[ [ "Merthyr Town", "Penydarren Park", "10,000", "-" ], [ "Paulton Rovers", "Athletic Field", "5,000", "253" ], [ "Evesham United", "St George's Lane*", "4,749", "nan" ], [ "Winchester City", "The City Ground", "4,500", "180" ], [ "Cl...
[ "10,000" ]
how much capacity does penydarren park stadium hold? ||
nt-9621
col : team | stadium | capacity | seated row 1 : merthyr town | penydarren park | 10,000 | - row 2 : paulton rovers | athletic field | 5,000 | 253 row 3 : evesham united | st george's lane* | 4,749 | nan row 4 : winchester city | the city ground | 4,500 | 180 row 5 : clevedon town | hand stadium | 3,500 | 300 row 6 : c...
table_csv/204_750.csv
1
{ "column_index": [ 2 ], "row_index": [ 9 ] }
[ "how much capacity does penydarren park stadium hold?", "what is the capacity of swindon supermarine?" ]
1
3,000
[ "Team", "Stadium", "Capacity", "Seated" ]
what is the capacity of swindon supermarine?
[ [ "Merthyr Town", "Penydarren Park", "10,000", "-" ], [ "Paulton Rovers", "Athletic Field", "5,000", "253" ], [ "Evesham United", "St George's Lane*", "4,749", "nan" ], [ "Winchester City", "The City Ground", "4,500", "180" ], [ "Cl...
[ "3,000" ]
what is the capacity of swindon supermarine? || how much capacity does penydarren park stadium hold?
nt-9621
col : team | stadium | capacity | seated row 1 : merthyr town | penydarren park | 10,000 | - row 2 : paulton rovers | athletic field | 5,000 | 253 row 3 : evesham united | st george's lane* | 4,749 | nan row 4 : winchester city | the city ground | 4,500 | 180 row 5 : clevedon town | hand stadium | 3,500 | 300 row 6 : c...
table_csv/204_750.csv
2
{ "column_index": [ 0 ], "row_index": [ 9 ] }
[ "how much capacity does penydarren park stadium hold?", "what is the capacity of swindon supermarine?", "what other team has the same capacity as didcot's town stadium?" ]
1
swindon supermarine
[ "Team", "Stadium", "Capacity", "Seated" ]
what other team has the same capacity as didcot's town stadium?
[ [ "Merthyr Town", "Penydarren Park", "10,000", "-" ], [ "Paulton Rovers", "Athletic Field", "5,000", "253" ], [ "Evesham United", "St George's Lane*", "4,749", "nan" ], [ "Winchester City", "The City Ground", "4,500", "180" ], [ "Cl...
[ "Swindon Supermarine" ]
what other team has the same capacity as didcot's town stadium? || what is the capacity of swindon supermarine? | how much capacity does penydarren park stadium hold?
nt-9621
col : team | stadium | capacity | seated row 1 : merthyr town | penydarren park | 10,000 | - row 2 : paulton rovers | athletic field | 5,000 | 253 row 3 : evesham united | st george's lane* | 4,749 | nan row 4 : winchester city | the city ground | 4,500 | 180 row 5 : clevedon town | hand stadium | 3,500 | 300 row 6 : c...
table_csv/204_750.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 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 1...
[ "what are all the teams in the 2012-13 southern football league?" ]
2
merthyr town, paulton rovers, evesham united, winchester city, clevedon town, cinderford town, tiverton town, wimborne town, didcot town, swindon supermarine, bridgwater town, hungerford town, mangotsfield united, taunton town, abingdon united, poole town, north leigh, yate town, bishop's cleeve, sholing, shortwood uni...
[ "Team", "Stadium", "Capacity", "Seated" ]
what are all the teams in the 2012-13 southern football league?
[ [ "Merthyr Town", "Penydarren Park", "10,000", "-" ], [ "Paulton Rovers", "Athletic Field", "5,000", "253" ], [ "Evesham United", "St George's Lane*", "4,749", "nan" ], [ "Winchester City", "The City Ground", "4,500", "180" ], [ "Cl...
[ "Merthyr Town", "Paulton Rovers", "Evesham United", "Winchester City", "Clevedon Town", "Cinderford Town", "Tiverton Town", "Wimborne Town", "Didcot Town", "Swindon Supermarine", "Bridgwater Town", "Hungerford Town", "Mangotsfield United", "Taunton Town", "Abingdon United", "Poole Town...
what are all the teams in the 2012-13 southern football league? ||
nt-9621
col : team | stadium | capacity | seated row 1 : merthyr town | penydarren park | 10,000 | - row 2 : paulton rovers | athletic field | 5,000 | 253 row 3 : evesham united | st george's lane* | 4,749 | nan row 4 : winchester city | the city ground | 4,500 | 180 row 5 : clevedon town | hand stadium | 3,500 | 300 row 6 : c...
table_csv/204_750.csv
1
{ "column_index": [ 0, 0, 0, 0, 0, 0 ], "row_index": [ 4, 5, 6, 7, 8, 9 ] }
[ "what are all the teams in the 2012-13 southern football league?", "which ones have venue with a capacity within the range of 3,000 to 4,000 (inclusive)?" ]
2
clevedon town, cinderford town, tiverton town, wimborne town, didcot town, swindon supermarine
[ "Team", "Stadium", "Capacity", "Seated" ]
which ones have venue with a capacity within the range of 3,000 to 4,000 (inclusive)?
[ [ "Merthyr Town", "Penydarren Park", "10,000", "-" ], [ "Paulton Rovers", "Athletic Field", "5,000", "253" ], [ "Evesham United", "St George's Lane*", "4,749", "nan" ], [ "Winchester City", "The City Ground", "4,500", "180" ], [ "Cl...
[ "Clevedon Town", "Cinderford Town", "Tiverton Town", "Wimborne Town", "Didcot Town", "Swindon Supermarine" ]
which ones have venue with a capacity within the range of 3,000 to 4,000 (inclusive)? || what are all the teams in the 2012-13 southern football league?
nt-9621
col : team | stadium | capacity | seated row 1 : merthyr town | penydarren park | 10,000 | - row 2 : paulton rovers | athletic field | 5,000 | 253 row 3 : evesham united | st george's lane* | 4,749 | nan row 4 : winchester city | the city ground | 4,500 | 180 row 5 : clevedon town | hand stadium | 3,500 | 300 row 6 : c...
table_csv/204_750.csv
2
{ "column_index": [ 0 ], "row_index": [ 9 ] }
[ "what are all the teams in the 2012-13 southern football league?", "which ones have venue with a capacity within the range of 3,000 to 4,000 (inclusive)?", "of these, which one has the same capacity as didcot town's venue?" ]
2
swindon supermarine
[ "Team", "Stadium", "Capacity", "Seated" ]
of these, which one has the same capacity as didcot town's venue?
[ [ "Merthyr Town", "Penydarren Park", "10,000", "-" ], [ "Paulton Rovers", "Athletic Field", "5,000", "253" ], [ "Evesham United", "St George's Lane*", "4,749", "nan" ], [ "Winchester City", "The City Ground", "4,500", "180" ], [ "Cl...
[ "Swindon Supermarine" ]
of these, which one has the same capacity as didcot town's venue? || which ones have venue with a capacity within the range of 3,000 to 4,000 (inclusive)? | what are all the teams in the 2012-13 southern football league?
nt-9620
col : week | date | song title | performer | album title | performer.1 row 1 : 1 | 3 january 2014 | timber | avicii | true | avicii row 2 : 2 | 10 january 2014 | timber | avicii | true | avicii row 3 : 3 | 17 january 2014 | i see fire | bruce springsteen | high hopes | bruce springsteen row 4 : 4 | 24 january 2014 | i ...
table_csv/204_333.csv
0
{ "column_index": [ 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 ] }
[ "when did the singles reach number one?" ]
0
3 january 2014, 10 january 2014, 17 january 2014, 24 january 2014, 31 january 2014, 7 february 2014, 14 february 2014, 21 february 2014, 28 february 2014, 7 march 2014, 14 march 2014, 21 march 2014, 28 march 2014
[ "Week", "Date", "Song title", "Performer", "Album title", "Performer.1" ]
when did the singles reach number one?
[ [ "1", "3 January 2014", "Timber", "Avicii", "True", "Avicii" ], [ "2", "10 January 2014", "Timber", "Avicii", "True", "Avicii" ], [ "3", "17 January 2014", "I See Fire", "Bruce Springsteen", "High Hopes", "Bruce Springsteen" ], [ ...
[ "3 January 2014", "10 January 2014", "17 January 2014", "24 January 2014", "31 January 2014", "7 February 2014", "14 February 2014", "21 February 2014", "28 February 2014", "7 March 2014", "14 March 2014", "21 March 2014", "28 March 2014" ]
when did the singles reach number one? ||
nt-9620
col : week | date | song title | performer | album title | performer.1 row 1 : 1 | 3 january 2014 | timber | avicii | true | avicii row 2 : 2 | 10 january 2014 | timber | avicii | true | avicii row 3 : 3 | 17 january 2014 | i see fire | bruce springsteen | high hopes | bruce springsteen row 4 : 4 | 24 january 2014 | i ...
table_csv/204_333.csv
1
{ "column_index": [ 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 ] }
[ "when did the singles reach number one?", "and who was the performer of each single?" ]
0
avicii, avicii, bruce springsteen, bruce springsteen, avicii, christer sjogren, christer sjogren, avicii, avicii, avicii, avicii, takida, yohio
[ "Week", "Date", "Song title", "Performer", "Album title", "Performer.1" ]
and who was the performer of each single?
[ [ "1", "3 January 2014", "Timber", "Avicii", "True", "Avicii" ], [ "2", "10 January 2014", "Timber", "Avicii", "True", "Avicii" ], [ "3", "17 January 2014", "I See Fire", "Bruce Springsteen", "High Hopes", "Bruce Springsteen" ], [ ...
[ "Avicii", "Avicii", "Bruce Springsteen", "Bruce Springsteen", "Avicii", "Christer Sjogren", "Christer Sjogren", "Avicii", "Avicii", "Avicii", "Avicii", "Takida", "Yohio" ]
and who was the performer of each single? || when did the singles reach number one?
nt-9620
col : week | date | song title | performer | album title | performer.1 row 1 : 1 | 3 january 2014 | timber | avicii | true | avicii row 2 : 2 | 10 january 2014 | timber | avicii | true | avicii row 3 : 3 | 17 january 2014 | i see fire | bruce springsteen | high hopes | bruce springsteen row 4 : 4 | 24 january 2014 | i ...
table_csv/204_333.csv
2
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 2, 3, 4, 5, 6, 7, 8 ] }
[ "when did the singles reach number one?", "and who was the performer of each single?", "of those performers, which dates did ed sheeran reach number one?" ]
0
17 january 2014, 24 january 2014, 31 january 2014, 7 february 2014, 14 february 2014, 21 february 2014, 28 february 2014
[ "Week", "Date", "Song title", "Performer", "Album title", "Performer.1" ]
of those performers, which dates did ed sheeran reach number one?
[ [ "1", "3 January 2014", "Timber", "Avicii", "True", "Avicii" ], [ "2", "10 January 2014", "Timber", "Avicii", "True", "Avicii" ], [ "3", "17 January 2014", "I See Fire", "Bruce Springsteen", "High Hopes", "Bruce Springsteen" ], [ ...
[ "17 January 2014", "24 January 2014", "31 January 2014", "7 February 2014", "14 February 2014", "21 February 2014", "28 February 2014" ]
of those performers, which dates did ed sheeran reach number one? || and who was the performer of each single? | when did the singles reach number one?
nt-9620
col : week | date | song title | performer | album title | performer.1 row 1 : 1 | 3 january 2014 | timber | avicii | true | avicii row 2 : 2 | 10 january 2014 | timber | avicii | true | avicii row 3 : 3 | 17 january 2014 | i see fire | bruce springsteen | high hopes | bruce springsteen row 4 : 4 | 24 january 2014 | i ...
table_csv/204_333.csv
3
{ "column_index": [ 1 ], "row_index": [ 2 ] }
[ "when did the singles reach number one?", "and who was the performer of each single?", "of those performers, which dates did ed sheeran reach number one?", "and which of those dates was the earliest?" ]
0
17 january 2014
[ "Week", "Date", "Song title", "Performer", "Album title", "Performer.1" ]
and which of those dates was the earliest?
[ [ "1", "3 January 2014", "Timber", "Avicii", "True", "Avicii" ], [ "2", "10 January 2014", "Timber", "Avicii", "True", "Avicii" ], [ "3", "17 January 2014", "I See Fire", "Bruce Springsteen", "High Hopes", "Bruce Springsteen" ], [ ...
[ "17 January 2014" ]
and which of those dates was the earliest? || of those performers, which dates did ed sheeran reach number one? | and who was the performer of each single? | when did the singles reach number one?
nt-9620
col : week | date | song title | performer | album title | performer.1 row 1 : 1 | 3 january 2014 | timber | avicii | true | avicii row 2 : 2 | 10 january 2014 | timber | avicii | true | avicii row 3 : 3 | 17 january 2014 | i see fire | bruce springsteen | high hopes | bruce springsteen row 4 : 4 | 24 january 2014 | i ...
table_csv/204_333.csv
0
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 2, 3, 4, 5, 6, 7, 8 ] }
[ "which swedish number one singles and albums were performed by ed sheeran?" ]
1
bruce springsteen, bruce springsteen, avicii, christer sjogren, christer sjogren, avicii, avicii
[ "Week", "Date", "Song title", "Performer", "Album title", "Performer.1" ]
which swedish number one singles and albums were performed by ed sheeran?
[ [ "1", "3 January 2014", "Timber", "Avicii", "True", "Avicii" ], [ "2", "10 January 2014", "Timber", "Avicii", "True", "Avicii" ], [ "3", "17 January 2014", "I See Fire", "Bruce Springsteen", "High Hopes", "Bruce Springsteen" ], [ ...
[ "Bruce Springsteen", "Bruce Springsteen", "Avicii", "Christer Sjogren", "Christer Sjogren", "Avicii", "Avicii" ]
which swedish number one singles and albums were performed by ed sheeran? ||
nt-9620
col : week | date | song title | performer | album title | performer.1 row 1 : 1 | 3 january 2014 | timber | avicii | true | avicii row 2 : 2 | 10 january 2014 | timber | avicii | true | avicii row 3 : 3 | 17 january 2014 | i see fire | bruce springsteen | high hopes | bruce springsteen row 4 : 4 | 24 january 2014 | i ...
table_csv/204_333.csv
1
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 2, 3, 4, 5, 6, 7, 8 ] }
[ "which swedish number one singles and albums were performed by ed sheeran?", "what were the dates those singles and albums reached number one?" ]
1
17 january 2014, 24 january 2014, 31 january 2014, 7 february 2014, 14 february 2014, 21 february 2014, 28 february 2014
[ "Week", "Date", "Song title", "Performer", "Album title", "Performer.1" ]
what were the dates those singles and albums reached number one?
[ [ "1", "3 January 2014", "Timber", "Avicii", "True", "Avicii" ], [ "2", "10 January 2014", "Timber", "Avicii", "True", "Avicii" ], [ "3", "17 January 2014", "I See Fire", "Bruce Springsteen", "High Hopes", "Bruce Springsteen" ], [ ...
[ "17 January 2014", "24 January 2014", "31 January 2014", "7 February 2014", "14 February 2014", "21 February 2014", "28 February 2014" ]
what were the dates those singles and albums reached number one? || which swedish number one singles and albums were performed by ed sheeran?
nt-9620
col : week | date | song title | performer | album title | performer.1 row 1 : 1 | 3 january 2014 | timber | avicii | true | avicii row 2 : 2 | 10 january 2014 | timber | avicii | true | avicii row 3 : 3 | 17 january 2014 | i see fire | bruce springsteen | high hopes | bruce springsteen row 4 : 4 | 24 january 2014 | i ...
table_csv/204_333.csv
2
{ "column_index": [ 1 ], "row_index": [ 2 ] }
[ "which swedish number one singles and albums were performed by ed sheeran?", "what were the dates those singles and albums reached number one?", "of those dates, which is the earliest of the year?" ]
1
17 january 2014
[ "Week", "Date", "Song title", "Performer", "Album title", "Performer.1" ]
of those dates, which is the earliest of the year?
[ [ "1", "3 January 2014", "Timber", "Avicii", "True", "Avicii" ], [ "2", "10 January 2014", "Timber", "Avicii", "True", "Avicii" ], [ "3", "17 January 2014", "I See Fire", "Bruce Springsteen", "High Hopes", "Bruce Springsteen" ], [ ...
[ "17 January 2014" ]
of those dates, which is the earliest of the year? || what were the dates those singles and albums reached number one? | which swedish number one singles and albums were performed by ed sheeran?
nt-9620
col : week | date | song title | performer | album title | performer.1 row 1 : 1 | 3 january 2014 | timber | avicii | true | avicii row 2 : 2 | 10 january 2014 | timber | avicii | true | avicii row 3 : 3 | 17 january 2014 | i see fire | bruce springsteen | high hopes | bruce springsteen row 4 : 4 | 24 january 2014 | i ...
table_csv/204_333.csv
0
{ "column_index": [ 3, 3, 3 ], "row_index": [ 0, 2, 9 ] }
[ "what are the names of all the performers?" ]
2
avicii, bruce springsteen, avicii
[ "Week", "Date", "Song title", "Performer", "Album title", "Performer.1" ]
what are the names of all the performers?
[ [ "1", "3 January 2014", "Timber", "Avicii", "True", "Avicii" ], [ "2", "10 January 2014", "Timber", "Avicii", "True", "Avicii" ], [ "3", "17 January 2014", "I See Fire", "Bruce Springsteen", "High Hopes", "Bruce Springsteen" ], [ ...
[ "Avicii", "Bruce Springsteen", "Avicii" ]
what are the names of all the performers? ||
nt-9620
col : week | date | song title | performer | album title | performer.1 row 1 : 1 | 3 january 2014 | timber | avicii | true | avicii row 2 : 2 | 10 january 2014 | timber | avicii | true | avicii row 3 : 3 | 17 january 2014 | i see fire | bruce springsteen | high hopes | bruce springsteen row 4 : 4 | 24 january 2014 | i ...
table_csv/204_333.csv
1
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 2, 3, 4, 5, 6, 7, 8 ] }
[ "what are the names of all the performers?", "of these performers, what are all the weeks that ed sheeran have a number 1 hit in?" ]
2
17 january 2014, 24 january 2014, 31 january 2014, 7 february 2014, 14 february 2014, 21 february 2014, 28 february 2014
[ "Week", "Date", "Song title", "Performer", "Album title", "Performer.1" ]
of these performers, what are all the weeks that ed sheeran have a number 1 hit in?
[ [ "1", "3 January 2014", "Timber", "Avicii", "True", "Avicii" ], [ "2", "10 January 2014", "Timber", "Avicii", "True", "Avicii" ], [ "3", "17 January 2014", "I See Fire", "Bruce Springsteen", "High Hopes", "Bruce Springsteen" ], [ ...
[ "17 January 2014", "24 January 2014", "31 January 2014", "7 February 2014", "14 February 2014", "21 February 2014", "28 February 2014" ]
of these performers, what are all the weeks that ed sheeran have a number 1 hit in? || what are the names of all the performers?
nt-9620
col : week | date | song title | performer | album title | performer.1 row 1 : 1 | 3 january 2014 | timber | avicii | true | avicii row 2 : 2 | 10 january 2014 | timber | avicii | true | avicii row 3 : 3 | 17 january 2014 | i see fire | bruce springsteen | high hopes | bruce springsteen row 4 : 4 | 24 january 2014 | i ...
table_csv/204_333.csv
2
{ "column_index": [ 1 ], "row_index": [ 2 ] }
[ "what are the names of all the performers?", "of these performers, what are all the weeks that ed sheeran have a number 1 hit in?", "of these weeks, which is the first week ed sheeran had a number 1 hit in?" ]
2
17 january 2014
[ "Week", "Date", "Song title", "Performer", "Album title", "Performer.1" ]
of these weeks, which is the first week ed sheeran had a number 1 hit in?
[ [ "1", "3 January 2014", "Timber", "Avicii", "True", "Avicii" ], [ "2", "10 January 2014", "Timber", "Avicii", "True", "Avicii" ], [ "3", "17 January 2014", "I See Fire", "Bruce Springsteen", "High Hopes", "Bruce Springsteen" ], [ ...
[ "17 January 2014" ]
of these weeks, which is the first week ed sheeran had a number 1 hit in? || of these performers, what are all the weeks that ed sheeran have a number 1 hit in? | what are the names of all the performers?
nt-12314
col : year | player | country | score | to par | margin of victory | course | location | purse ($) | winner's share ($) row 1 : 2014 | nan | nan | nan | nan | nan | cherry hills country club | cherry hills village, colorado | 8,000,000 | 1,440,000 row 2 : 2013 | zach johnson | united states | 64-70-69-65=268 | -16.0 | ...
table_csv/203_94.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "who were all of the players?" ]
0
, zach johnson, rory mcilroy, justin rose, dustin johnson, tiger woods (2), camilo villegas, tiger woods
[ "Year", "Player", "Country", "Score", "To par", "Margin of victory", "Course", "Location", "Purse ($)", "Winner's share ($)" ]
who were all of the players?
[ [ "2014", "nan", "nan", "nan", "nan", "nan", "Cherry Hills Country Club", "Cherry Hills Village, Colorado", "8,000,000", "1,440,000" ], [ "2013", "Zach Johnson", "United States", "64-70-69-65=268", "-16.0", "2 strokes", "Conway Farms Golf Club"...
[ "", "Zach Johnson", "Rory McIlroy", "Justin Rose", "Dustin Johnson", "Tiger Woods (2)", "Camilo Villegas", "Tiger Woods" ]
who were all of the players? ||
nt-12314
col : year | player | country | score | to par | margin of victory | course | location | purse ($) | winner's share ($) row 1 : 2014 | nan | nan | nan | nan | nan | cherry hills country club | cherry hills village, colorado | 8,000,000 | 1,440,000 row 2 : 2013 | zach johnson | united states | 64-70-69-65=268 | -16.0 | ...
table_csv/203_94.csv
1
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "who were all of the players?", "when did they play?" ]
0
2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007
[ "Year", "Player", "Country", "Score", "To par", "Margin of victory", "Course", "Location", "Purse ($)", "Winner's share ($)" ]
when did they play?
[ [ "2014", "nan", "nan", "nan", "nan", "nan", "Cherry Hills Country Club", "Cherry Hills Village, Colorado", "8,000,000", "1,440,000" ], [ "2013", "Zach Johnson", "United States", "64-70-69-65=268", "-16.0", "2 strokes", "Conway Farms Golf Club"...
[ "2014", "2013", "2012", "2011", "2010", "2009", "2008", "2007" ]
when did they play? || who were all of the players?
nt-12314
col : year | player | country | score | to par | margin of victory | course | location | purse ($) | winner's share ($) row 1 : 2014 | nan | nan | nan | nan | nan | cherry hills country club | cherry hills village, colorado | 8,000,000 | 1,440,000 row 2 : 2013 | zach johnson | united states | 64-70-69-65=268 | -16.0 | ...
table_csv/203_94.csv
2
{ "column_index": [ 9, 9, 9, 9, 9, 9, 9, 9 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "who were all of the players?", "when did they play?", "what about their winning shares?" ]
0
1,440,000, 1,440,000, 1,440,000, 1,440,000, 1,350,000, 1,350,000, 1,260,000, 1,260,000
[ "Year", "Player", "Country", "Score", "To par", "Margin of victory", "Course", "Location", "Purse ($)", "Winner's share ($)" ]
what about their winning shares?
[ [ "2014", "nan", "nan", "nan", "nan", "nan", "Cherry Hills Country Club", "Cherry Hills Village, Colorado", "8,000,000", "1,440,000" ], [ "2013", "Zach Johnson", "United States", "64-70-69-65=268", "-16.0", "2 strokes", "Conway Farms Golf Club"...
[ "1,440,000", "1,440,000", "1,440,000", "1,440,000", "1,350,000", "1,350,000", "1,260,000", "1,260,000" ]
what about their winning shares? || when did they play? | who were all of the players?
nt-12314
col : year | player | country | score | to par | margin of victory | course | location | purse ($) | winner's share ($) row 1 : 2014 | nan | nan | nan | nan | nan | cherry hills country club | cherry hills village, colorado | 8,000,000 | 1,440,000 row 2 : 2013 | zach johnson | united states | 64-70-69-65=268 | -16.0 | ...
table_csv/203_94.csv
3
{ "column_index": [ 1 ], "row_index": [ 7 ] }
[ "who were all of the players?", "when did they play?", "what about their winning shares?", "and which player won the most overall?" ]
0
tiger woods
[ "Year", "Player", "Country", "Score", "To par", "Margin of victory", "Course", "Location", "Purse ($)", "Winner's share ($)" ]
and which player won the most overall?
[ [ "2014", "nan", "nan", "nan", "nan", "nan", "Cherry Hills Country Club", "Cherry Hills Village, Colorado", "8,000,000", "1,440,000" ], [ "2013", "Zach Johnson", "United States", "64-70-69-65=268", "-16.0", "2 strokes", "Conway Farms Golf Club"...
[ "Tiger Woods" ]
and which player won the most overall? || what about their winning shares? | when did they play? | who were all of the players?
nt-12314
col : year | player | country | score | to par | margin of victory | course | location | purse ($) | winner's share ($) row 1 : 2014 | nan | nan | nan | nan | nan | cherry hills country club | cherry hills village, colorado | 8,000,000 | 1,440,000 row 2 : 2013 | zach johnson | united states | 64-70-69-65=268 | -16.0 | ...
table_csv/203_94.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1 ], "row_index": [ 1, 2, 3, 4, 6, 7 ] }
[ "what where the players in the bmw champonships?" ]
1
zach johnson, rory mcilroy, justin rose, dustin johnson, camilo villegas, tiger woods
[ "Year", "Player", "Country", "Score", "To par", "Margin of victory", "Course", "Location", "Purse ($)", "Winner's share ($)" ]
what where the players in the bmw champonships?
[ [ "2014", "nan", "nan", "nan", "nan", "nan", "Cherry Hills Country Club", "Cherry Hills Village, Colorado", "8,000,000", "1,440,000" ], [ "2013", "Zach Johnson", "United States", "64-70-69-65=268", "-16.0", "2 strokes", "Conway Farms Golf Club"...
[ "Zach Johnson", "Rory McIlroy", "Justin Rose", "Dustin Johnson", "Camilo Villegas", "Tiger Woods" ]
what where the players in the bmw champonships? ||
nt-12314
col : year | player | country | score | to par | margin of victory | course | location | purse ($) | winner's share ($) row 1 : 2014 | nan | nan | nan | nan | nan | cherry hills country club | cherry hills village, colorado | 8,000,000 | 1,440,000 row 2 : 2013 | zach johnson | united states | 64-70-69-65=268 | -16.0 | ...
table_csv/203_94.csv
1
{ "column_index": [ 1, 1, 1, 1, 1, 1 ], "row_index": [ 1, 2, 3, 4, 6, 7 ] }
[ "what where the players in the bmw champonships?", "which players played between 2007 to 2013?" ]
1
zach johnson, rory mcilroy, justin rose, dustin johnson, camilo villegas, tiger woods
[ "Year", "Player", "Country", "Score", "To par", "Margin of victory", "Course", "Location", "Purse ($)", "Winner's share ($)" ]
which players played between 2007 to 2013?
[ [ "2014", "nan", "nan", "nan", "nan", "nan", "Cherry Hills Country Club", "Cherry Hills Village, Colorado", "8,000,000", "1,440,000" ], [ "2013", "Zach Johnson", "United States", "64-70-69-65=268", "-16.0", "2 strokes", "Conway Farms Golf Club"...
[ "Zach Johnson", "Rory McIlroy", "Justin Rose", "Dustin Johnson", "Camilo Villegas", "Tiger Woods" ]
which players played between 2007 to 2013? || what where the players in the bmw champonships?
nt-12314
col : year | player | country | score | to par | margin of victory | course | location | purse ($) | winner's share ($) row 1 : 2014 | nan | nan | nan | nan | nan | cherry hills country club | cherry hills village, colorado | 8,000,000 | 1,440,000 row 2 : 2013 | zach johnson | united states | 64-70-69-65=268 | -16.0 | ...
table_csv/203_94.csv
2
{ "column_index": [ 1 ], "row_index": [ 7 ] }
[ "what where the players in the bmw champonships?", "which players played between 2007 to 2013?", "which of these players earned the most winner share's in these period?" ]
1
tiger woods
[ "Year", "Player", "Country", "Score", "To par", "Margin of victory", "Course", "Location", "Purse ($)", "Winner's share ($)" ]
which of these players earned the most winner share's in these period?
[ [ "2014", "nan", "nan", "nan", "nan", "nan", "Cherry Hills Country Club", "Cherry Hills Village, Colorado", "8,000,000", "1,440,000" ], [ "2013", "Zach Johnson", "United States", "64-70-69-65=268", "-16.0", "2 strokes", "Conway Farms Golf Club"...
[ "Tiger Woods" ]
which of these players earned the most winner share's in these period? || which players played between 2007 to 2013? | what where the players in the bmw champonships?
nt-12314
col : year | player | country | score | to par | margin of victory | course | location | purse ($) | winner's share ($) row 1 : 2014 | nan | nan | nan | nan | nan | cherry hills country club | cherry hills village, colorado | 8,000,000 | 1,440,000 row 2 : 2013 | zach johnson | united states | 64-70-69-65=268 | -16.0 | ...
table_csv/203_94.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 1, 2, 3, 4, 5, 6, 7 ] }
[ "what are the names of all the players?" ]
2
zach johnson, rory mcilroy, justin rose, dustin johnson, tiger woods (2), camilo villegas, tiger woods
[ "Year", "Player", "Country", "Score", "To par", "Margin of victory", "Course", "Location", "Purse ($)", "Winner's share ($)" ]
what are the names of all the players?
[ [ "2014", "nan", "nan", "nan", "nan", "nan", "Cherry Hills Country Club", "Cherry Hills Village, Colorado", "8,000,000", "1,440,000" ], [ "2013", "Zach Johnson", "United States", "64-70-69-65=268", "-16.0", "2 strokes", "Conway Farms Golf Club"...
[ "Zach Johnson", "Rory McIlroy", "Justin Rose", "Dustin Johnson", "Tiger Woods (2)", "Camilo Villegas", "Tiger Woods" ]
what are the names of all the players? ||
nt-12314
col : year | player | country | score | to par | margin of victory | course | location | purse ($) | winner's share ($) row 1 : 2014 | nan | nan | nan | nan | nan | cherry hills country club | cherry hills village, colorado | 8,000,000 | 1,440,000 row 2 : 2013 | zach johnson | united states | 64-70-69-65=268 | -16.0 | ...
table_csv/203_94.csv
1
{ "column_index": [ 1 ], "row_index": [ 7 ] }
[ "what are the names of all the players?", "which player earned the most in 2007 and 2013?" ]
2
tiger woods
[ "Year", "Player", "Country", "Score", "To par", "Margin of victory", "Course", "Location", "Purse ($)", "Winner's share ($)" ]
which player earned the most in 2007 and 2013?
[ [ "2014", "nan", "nan", "nan", "nan", "nan", "Cherry Hills Country Club", "Cherry Hills Village, Colorado", "8,000,000", "1,440,000" ], [ "2013", "Zach Johnson", "United States", "64-70-69-65=268", "-16.0", "2 strokes", "Conway Farms Golf Club"...
[ "Tiger Woods" ]
which player earned the most in 2007 and 2013? || what are the names of all the players?
ns-302
col : year | original title | english title | role | notes row 1 : 1955 | ordet | the word | morten borgen | directed by carl th. dreyer row 2 : 1942 | med forenede kraefter | nan | nan | propaganda film row 3 : 1938 | bolettes brudefaerd | nan | carpenter kristiansen | based on malberg's play row 4 : 1938 | kongen bod...
table_csv/204_91.csv
0
{ "column_index": [ 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, ...
[ "what were the titles in henrik malberg?" ]
0
ordet, med forenede kraefter, bolettes brudefaerd, kongen bod, kloge mand, den, sol over danmark, kobberbryllup, paustians uhr, praesten i vejlby, hr. tell og son, hojt paa en kvist, gronkobings glade gavtyve, der mann um mitternacht, det storste i verden, gudernes yndling, krigsmillionaeren, udenfor loven, tre indvend...
[ "Year", "Original title", "English title", "Role", "Notes" ]
what were the titles in henrik malberg?
[ [ "1955", "Ordet", "The Word", "Morten Borgen", "directed by Carl Th. Dreyer" ], [ "1942", "Med forenede kraefter", "nan", "nan", "Propaganda film" ], [ "1938", "Bolettes brudefaerd", "nan", "Carpenter Kristiansen", "based on Malberg's play" ], ...
[ "Ordet", "Med forenede kraefter", "Bolettes brudefaerd", "Kongen bod", "Kloge Mand, Den", "Sol over Danmark", "Kobberbryllup", "Paustians Uhr", "Praesten i Vejlby", "Hr. Tell og son", "Hojt paa en Kvist", "Gronkobings glade gavtyve", "Der Mann um Mitternacht", "Det Storste i Verden", "Gu...
what were the titles in henrik malberg? ||
ns-302
col : year | original title | english title | role | notes row 1 : 1955 | ordet | the word | morten borgen | directed by carl th. dreyer row 2 : 1942 | med forenede kraefter | nan | nan | propaganda film row 3 : 1938 | bolettes brudefaerd | nan | carpenter kristiansen | based on malberg's play row 4 : 1938 | kongen bod...
table_csv/204_91.csv
1
{ "column_index": [ 3 ], "row_index": [ 2 ] }
[ "what were the titles in henrik malberg?", "what was boletters brudefaerd role?" ]
0
carpenter kristiansen
[ "Year", "Original title", "English title", "Role", "Notes" ]
what was boletters brudefaerd role?
[ [ "1955", "Ordet", "The Word", "Morten Borgen", "directed by Carl Th. Dreyer" ], [ "1942", "Med forenede kraefter", "nan", "nan", "Propaganda film" ], [ "1938", "Bolettes brudefaerd", "nan", "Carpenter Kristiansen", "based on Malberg's play" ], ...
[ "Carpenter Kristiansen" ]
what was boletters brudefaerd role? || what were the titles in henrik malberg?
ns-302
col : year | original title | english title | role | notes row 1 : 1955 | ordet | the word | morten borgen | directed by carl th. dreyer row 2 : 1942 | med forenede kraefter | nan | nan | propaganda film row 3 : 1938 | bolettes brudefaerd | nan | carpenter kristiansen | based on malberg's play row 4 : 1938 | kongen bod...
table_csv/204_91.csv
0
{ "column_index": [ 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, ...
[ "what plays did henrik malberg play in?" ]
1
ordet, med forenede kraefter, bolettes brudefaerd, kongen bod, kloge mand, den, sol over danmark, kobberbryllup, paustians uhr, praesten i vejlby, hr. tell og son, hojt paa en kvist, gronkobings glade gavtyve, der mann um mitternacht, det storste i verden, gudernes yndling, krigsmillionaeren, udenfor loven, tre indvend...
[ "Year", "Original title", "English title", "Role", "Notes" ]
what plays did henrik malberg play in?
[ [ "1955", "Ordet", "The Word", "Morten Borgen", "directed by Carl Th. Dreyer" ], [ "1942", "Med forenede kraefter", "nan", "nan", "Propaganda film" ], [ "1938", "Bolettes brudefaerd", "nan", "Carpenter Kristiansen", "based on Malberg's play" ], ...
[ "Ordet", "Med forenede kraefter", "Bolettes brudefaerd", "Kongen bod", "Kloge Mand, Den", "Sol over Danmark", "Kobberbryllup", "Paustians Uhr", "Praesten i Vejlby", "Hr. Tell og son", "Hojt paa en Kvist", "Gronkobings glade gavtyve", "Der Mann um Mitternacht", "Det Storste i Verden", "Gu...
what plays did henrik malberg play in? ||
ns-302
col : year | original title | english title | role | notes row 1 : 1955 | ordet | the word | morten borgen | directed by carl th. dreyer row 2 : 1942 | med forenede kraefter | nan | nan | propaganda film row 3 : 1938 | bolettes brudefaerd | nan | carpenter kristiansen | based on malberg's play row 4 : 1938 | kongen bod...
table_csv/204_91.csv
1
{ "column_index": [ 3 ], "row_index": [ 2 ] }
[ "what plays did henrik malberg play in?", "what role did he play in bolettes brudefaerd?" ]
1
carpenter kristiansen
[ "Year", "Original title", "English title", "Role", "Notes" ]
what role did he play in bolettes brudefaerd?
[ [ "1955", "Ordet", "The Word", "Morten Borgen", "directed by Carl Th. Dreyer" ], [ "1942", "Med forenede kraefter", "nan", "nan", "Propaganda film" ], [ "1938", "Bolettes brudefaerd", "nan", "Carpenter Kristiansen", "based on Malberg's play" ], ...
[ "Carpenter Kristiansen" ]
what role did he play in bolettes brudefaerd? || what plays did henrik malberg play in?
ns-302
col : year | original title | english title | role | notes row 1 : 1955 | ordet | the word | morten borgen | directed by carl th. dreyer row 2 : 1942 | med forenede kraefter | nan | nan | propaganda film row 3 : 1938 | bolettes brudefaerd | nan | carpenter kristiansen | based on malberg's play row 4 : 1938 | kongen bod...
table_csv/204_91.csv
0
{ "column_index": [ 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, ...
[ "what are all of the title names?" ]
2
ordet, med forenede kraefter, bolettes brudefaerd, kongen bod, kloge mand, den, sol over danmark, kobberbryllup, paustians uhr, praesten i vejlby, hr. tell og son, hojt paa en kvist, gronkobings glade gavtyve, der mann um mitternacht, det storste i verden, gudernes yndling, krigsmillionaeren, udenfor loven, tre indvend...
[ "Year", "Original title", "English title", "Role", "Notes" ]
what are all of the title names?
[ [ "1955", "Ordet", "The Word", "Morten Borgen", "directed by Carl Th. Dreyer" ], [ "1942", "Med forenede kraefter", "nan", "nan", "Propaganda film" ], [ "1938", "Bolettes brudefaerd", "nan", "Carpenter Kristiansen", "based on Malberg's play" ], ...
[ "Ordet", "Med forenede kraefter", "Bolettes brudefaerd", "Kongen bod", "Kloge Mand, Den", "Sol over Danmark", "Kobberbryllup", "Paustians Uhr", "Praesten i Vejlby", "Hr. Tell og son", "Hojt paa en Kvist", "Gronkobings glade gavtyve", "Der Mann um Mitternacht", "Det Storste i Verden", "Gu...
what are all of the title names? ||
ns-302
col : year | original title | english title | role | notes row 1 : 1955 | ordet | the word | morten borgen | directed by carl th. dreyer row 2 : 1942 | med forenede kraefter | nan | nan | propaganda film row 3 : 1938 | bolettes brudefaerd | nan | carpenter kristiansen | based on malberg's play row 4 : 1938 | kongen bod...
table_csv/204_91.csv
1
{ "column_index": [ 3, 3, 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, ...
[ "what are all of the title names?", "what are all the roles?" ]
2
morten borgen, , carpenter kristiansen, jeppe, shoemaker, pastor nicolaj jacobsen, handelsgartner johansen, mayor, praesten soren quist, uncle jokum, , bank director, knut hammerdal, thomas ward, pommel, jensen, brown, , horse trainer, lille klaus,
[ "Year", "Original title", "English title", "Role", "Notes" ]
what are all the roles?
[ [ "1955", "Ordet", "The Word", "Morten Borgen", "directed by Carl Th. Dreyer" ], [ "1942", "Med forenede kraefter", "nan", "nan", "Propaganda film" ], [ "1938", "Bolettes brudefaerd", "nan", "Carpenter Kristiansen", "based on Malberg's play" ], ...
[ "Morten Borgen", "", "Carpenter Kristiansen", "Jeppe", "Shoemaker", "Pastor Nicolaj Jacobsen", "Handelsgartner Johansen", "Mayor", "Praesten Soren Quist", "Uncle Jokum", "", "Bank director", "Knut Hammerdal", "Thomas Ward", "Pommel", "Jensen", "Brown", "", "Horse trainer", "Lil...
what are all the roles? || what are all of the title names?
ns-302
col : year | original title | english title | role | notes row 1 : 1955 | ordet | the word | morten borgen | directed by carl th. dreyer row 2 : 1942 | med forenede kraefter | nan | nan | propaganda film row 3 : 1938 | bolettes brudefaerd | nan | carpenter kristiansen | based on malberg's play row 4 : 1938 | kongen bod...
table_csv/204_91.csv
2
{ "column_index": [ 3 ], "row_index": [ 2 ] }
[ "what are all of the title names?", "what are all the roles?", "and which role is associated with bolettes brudefaerd?" ]
2
carpenter kristiansen
[ "Year", "Original title", "English title", "Role", "Notes" ]
and which role is associated with bolettes brudefaerd?
[ [ "1955", "Ordet", "The Word", "Morten Borgen", "directed by Carl Th. Dreyer" ], [ "1942", "Med forenede kraefter", "nan", "nan", "Propaganda film" ], [ "1938", "Bolettes brudefaerd", "nan", "Carpenter Kristiansen", "based on Malberg's play" ], ...
[ "Carpenter Kristiansen" ]
and which role is associated with bolettes brudefaerd? || what are all the roles? | what are all of the title names?
ns-962
col : location | town | output (mw ac) | modules | number of arrays row 1 : h. lee dennison building | hauppauge | 1.75 | 7,737 | 24 row 2 : north county complex | hauppauge | 0.5 | 3,431 | 9 row 3 : cohalan court complex | central islip | 3.5 | 15,113 | 27 row 4 : riverhead county center | riverside | 3.0 | 11,536 | 3...
table_csv/204_185.csv
0
{ "column_index": [ 3 ], "row_index": [ 2 ] }
[ "how many modules does cohalan court have?" ]
0
15,113
[ "Location", "Town", "Output (MW AC)", "Modules", "Number of arrays" ]
how many modules does cohalan court have?
[ [ "H. Lee Dennison Building", "Hauppauge", "1.75", "7,737", "24" ], [ "North County Complex", "Hauppauge", "0.5", "3,431", "9" ], [ "Cohalan Court Complex", "Central Islip", "3.5", "15,113", "27" ], [ "Riverhead County Center", "Riversi...
[ "15,113" ]
how many modules does cohalan court have? ||
ns-962
col : location | town | output (mw ac) | modules | number of arrays row 1 : h. lee dennison building | hauppauge | 1.75 | 7,737 | 24 row 2 : north county complex | hauppauge | 0.5 | 3,431 | 9 row 3 : cohalan court complex | central islip | 3.5 | 15,113 | 27 row 4 : riverhead county center | riverside | 3.0 | 11,536 | 3...
table_csv/204_185.csv
1
{ "column_index": [ 0 ], "row_index": [ 6 ] }
[ "how many modules does cohalan court have?", "what place has more than 15,113 modules?" ]
0
ronkonkoma lirr parking lot (south)
[ "Location", "Town", "Output (MW AC)", "Modules", "Number of arrays" ]
what place has more than 15,113 modules?
[ [ "H. Lee Dennison Building", "Hauppauge", "1.75", "7,737", "24" ], [ "North County Complex", "Hauppauge", "0.5", "3,431", "9" ], [ "Cohalan Court Complex", "Central Islip", "3.5", "15,113", "27" ], [ "Riverhead County Center", "Riversi...
[ "Ronkonkoma LIRR Parking Lot (south)" ]
what place has more than 15,113 modules? || how many modules does cohalan court have?
ns-962
col : location | town | output (mw ac) | modules | number of arrays row 1 : h. lee dennison building | hauppauge | 1.75 | 7,737 | 24 row 2 : north county complex | hauppauge | 0.5 | 3,431 | 9 row 3 : cohalan court complex | central islip | 3.5 | 15,113 | 27 row 4 : riverhead county center | riverside | 3.0 | 11,536 | 3...
table_csv/204_185.csv
0
{ "column_index": [ 3, 3 ], "row_index": [ 2, 6 ] }
[ "what are the number of modules listed under cohalan court and ronkonkoma" ]
1
15,113, 20,110
[ "Location", "Town", "Output (MW AC)", "Modules", "Number of arrays" ]
what are the number of modules listed under cohalan court and ronkonkoma
[ [ "H. Lee Dennison Building", "Hauppauge", "1.75", "7,737", "24" ], [ "North County Complex", "Hauppauge", "0.5", "3,431", "9" ], [ "Cohalan Court Complex", "Central Islip", "3.5", "15,113", "27" ], [ "Riverhead County Center", "Riversi...
[ "15,113", "20,110" ]
what are the number of modules listed under cohalan court and ronkonkoma ||
ns-962
col : location | town | output (mw ac) | modules | number of arrays row 1 : h. lee dennison building | hauppauge | 1.75 | 7,737 | 24 row 2 : north county complex | hauppauge | 0.5 | 3,431 | 9 row 3 : cohalan court complex | central islip | 3.5 | 15,113 | 27 row 4 : riverhead county center | riverside | 3.0 | 11,536 | 3...
table_csv/204_185.csv
1
{ "column_index": [ 3 ], "row_index": [ 6 ] }
[ "what are the number of modules listed under cohalan court and ronkonkoma", "which number is higher?" ]
1
20,110
[ "Location", "Town", "Output (MW AC)", "Modules", "Number of arrays" ]
which number is higher?
[ [ "H. Lee Dennison Building", "Hauppauge", "1.75", "7,737", "24" ], [ "North County Complex", "Hauppauge", "0.5", "3,431", "9" ], [ "Cohalan Court Complex", "Central Islip", "3.5", "15,113", "27" ], [ "Riverhead County Center", "Riversi...
[ "20,110" ]
which number is higher? || what are the number of modules listed under cohalan court and ronkonkoma
ns-962
col : location | town | output (mw ac) | modules | number of arrays row 1 : h. lee dennison building | hauppauge | 1.75 | 7,737 | 24 row 2 : north county complex | hauppauge | 0.5 | 3,431 | 9 row 3 : cohalan court complex | central islip | 3.5 | 15,113 | 27 row 4 : riverhead county center | riverside | 3.0 | 11,536 | 3...
table_csv/204_185.csv
2
{ "column_index": [ 0 ], "row_index": [ 6 ] }
[ "what are the number of modules listed under cohalan court and ronkonkoma", "which number is higher?", "what location is listed for this number of modules?" ]
1
ronkonkoma lirr parking lot (south)
[ "Location", "Town", "Output (MW AC)", "Modules", "Number of arrays" ]
what location is listed for this number of modules?
[ [ "H. Lee Dennison Building", "Hauppauge", "1.75", "7,737", "24" ], [ "North County Complex", "Hauppauge", "0.5", "3,431", "9" ], [ "Cohalan Court Complex", "Central Islip", "3.5", "15,113", "27" ], [ "Riverhead County Center", "Riversi...
[ "Ronkonkoma LIRR Parking Lot (south)" ]
what location is listed for this number of modules? || which number is higher? | what are the number of modules listed under cohalan court and ronkonkoma
ns-962
col : location | town | output (mw ac) | modules | number of arrays row 1 : h. lee dennison building | hauppauge | 1.75 | 7,737 | 24 row 2 : north county complex | hauppauge | 0.5 | 3,431 | 9 row 3 : cohalan court complex | central islip | 3.5 | 15,113 | 27 row 4 : riverhead county center | riverside | 3.0 | 11,536 | 3...
table_csv/204_185.csv
0
{ "column_index": [ 0, 3, 0, 3, 0, 3, 0, 3, 0, 3, 0, 3, 0, 3 ], "row_index": [ 0, 0, 1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 6, 6 ] }
[ "what are the locations?" ]
2
h. lee dennison building, 7,737, north county complex, 3,431, cohalan court complex, 15,113, riverhead county center, 11,536, brentwood lirr parking lot, 3,924, deer park lirr parking lot, 3,924, ronkonkoma lirr parking lot (south), 20,110
[ "Location", "Town", "Output (MW AC)", "Modules", "Number of arrays" ]
what are the locations?
[ [ "H. Lee Dennison Building", "Hauppauge", "1.75", "7,737", "24" ], [ "North County Complex", "Hauppauge", "0.5", "3,431", "9" ], [ "Cohalan Court Complex", "Central Islip", "3.5", "15,113", "27" ], [ "Riverhead County Center", "Riversi...
[ "H. Lee Dennison Building", "7,737", "North County Complex", "3,431", "Cohalan Court Complex", "15,113", "Riverhead County Center", "11,536", "Brentwood LIRR Parking Lot", "3,924", "Deer Park LIRR Parking Lot", "3,924", "Ronkonkoma LIRR Parking Lot (south)", "20,110" ]
what are the locations? ||
ns-962
col : location | town | output (mw ac) | modules | number of arrays row 1 : h. lee dennison building | hauppauge | 1.75 | 7,737 | 24 row 2 : north county complex | hauppauge | 0.5 | 3,431 | 9 row 3 : cohalan court complex | central islip | 3.5 | 15,113 | 27 row 4 : riverhead county center | riverside | 3.0 | 11,536 | 3...
table_csv/204_185.csv
1
{ "column_index": [ 0, 3, 0, 3 ], "row_index": [ 2, 2, 6, 6 ] }
[ "what are the locations?", "how many modules did cohalan ourt and ronkonkoma have?" ]
2
cohalan court complex, 15,113, ronkonkoma lirr parking lot (south), 20,110
[ "Location", "Town", "Output (MW AC)", "Modules", "Number of arrays" ]
how many modules did cohalan ourt and ronkonkoma have?
[ [ "H. Lee Dennison Building", "Hauppauge", "1.75", "7,737", "24" ], [ "North County Complex", "Hauppauge", "0.5", "3,431", "9" ], [ "Cohalan Court Complex", "Central Islip", "3.5", "15,113", "27" ], [ "Riverhead County Center", "Riversi...
[ "Cohalan Court Complex", "15,113", "Ronkonkoma LIRR Parking Lot (south)", "20,110" ]
how many modules did cohalan ourt and ronkonkoma have? || what are the locations?
ns-962
col : location | town | output (mw ac) | modules | number of arrays row 1 : h. lee dennison building | hauppauge | 1.75 | 7,737 | 24 row 2 : north county complex | hauppauge | 0.5 | 3,431 | 9 row 3 : cohalan court complex | central islip | 3.5 | 15,113 | 27 row 4 : riverhead county center | riverside | 3.0 | 11,536 | 3...
table_csv/204_185.csv
2
{ "column_index": [ 0, 3 ], "row_index": [ 6, 6 ] }
[ "what are the locations?", "how many modules did cohalan ourt and ronkonkoma have?", "who had more?" ]
2
ronkonkoma lirr parking lot (south), 20,110
[ "Location", "Town", "Output (MW AC)", "Modules", "Number of arrays" ]
who had more?
[ [ "H. Lee Dennison Building", "Hauppauge", "1.75", "7,737", "24" ], [ "North County Complex", "Hauppauge", "0.5", "3,431", "9" ], [ "Cohalan Court Complex", "Central Islip", "3.5", "15,113", "27" ], [ "Riverhead County Center", "Riversi...
[ "Ronkonkoma LIRR Parking Lot (south)", "20,110" ]
who had more? || how many modules did cohalan ourt and ronkonkoma have? | what are the locations?
ns-962
col : location | town | output (mw ac) | modules | number of arrays row 1 : h. lee dennison building | hauppauge | 1.75 | 7,737 | 24 row 2 : north county complex | hauppauge | 0.5 | 3,431 | 9 row 3 : cohalan court complex | central islip | 3.5 | 15,113 | 27 row 4 : riverhead county center | riverside | 3.0 | 11,536 | 3...
table_csv/204_185.csv
3
{ "column_index": [ 0 ], "row_index": [ 6 ] }
[ "what are the locations?", "how many modules did cohalan ourt and ronkonkoma have?", "who had more?", "which one was it?" ]
2
ronkonkoma lirr parking lot (south)
[ "Location", "Town", "Output (MW AC)", "Modules", "Number of arrays" ]
which one was it?
[ [ "H. Lee Dennison Building", "Hauppauge", "1.75", "7,737", "24" ], [ "North County Complex", "Hauppauge", "0.5", "3,431", "9" ], [ "Cohalan Court Complex", "Central Islip", "3.5", "15,113", "27" ], [ "Riverhead County Center", "Riversi...
[ "Ronkonkoma LIRR Parking Lot (south)" ]
which one was it? || who had more? | how many modules did cohalan ourt and ronkonkoma have? | what are the locations?
ns-961
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...
table_csv/204_414.csv
0
{ "column_index": [ 0, 3, 0, 3, 0, 3, 0, 3, 0, 3, 0, 3, 0, 3, 0, 3, 0, 3, 0, 3, 0, 3, 0, 3 ], "row_index": [ 0, 0, 1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 6, 6, 7, ...
[ "what are the prisons?" ]
0
nubarashen, 840, kosh, 640, sevan, 548, prison hospital, 464, erebuni, 391, artik, 373, abovyan, 250, vanadzor, 245, goris, 215, hrazdan, 215, vardashen, 150, yerevan-center, 60
[ "Name", "Armenian", "Location", "# of prisoners designed for", "Notes" ]
what are the prisons?
[ [ "Nubarashen", "<<Nowbarashen>>", "Nubarashen, Yerevan", "840", "nan" ], [ "Kosh", "<<Kosh>>", "Kosh, Aragatsotn", "640", "nan" ], [ "Sevan", "<<Sewan>>", "Hrazdan, Kotayk", "548", "nan" ], [ "Prison Hospital", "<<Datapartyalneri hivan...
[ "Nubarashen", "840", "Kosh", "640", "Sevan", "548", "Prison Hospital", "464", "Erebuni", "391", "Artik", "373", "Abovyan", "250", "Vanadzor", "245", "Goris", "215", "Hrazdan", "215", "Vardashen", "150", "Yerevan-Center", "60" ]
what are the prisons? ||
ns-961
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...
table_csv/204_414.csv
1
{ "column_index": [ 0, 3 ], "row_index": [ 9, 9 ] }
[ "what are the prisons?", "how many can hrazdan hold?" ]
0
hrazdan, 215
[ "Name", "Armenian", "Location", "# of prisoners designed for", "Notes" ]
how many can hrazdan hold?
[ [ "Nubarashen", "<<Nowbarashen>>", "Nubarashen, Yerevan", "840", "nan" ], [ "Kosh", "<<Kosh>>", "Kosh, Aragatsotn", "640", "nan" ], [ "Sevan", "<<Sewan>>", "Hrazdan, Kotayk", "548", "nan" ], [ "Prison Hospital", "<<Datapartyalneri hivan...
[ "Hrazdan", "215" ]
how many can hrazdan hold? || what are the prisons?
ns-961
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...
table_csv/204_414.csv
2
{ "column_index": [ 0, 3 ], "row_index": [ 8, 8 ] }
[ "what are the prisons?", "how many can hrazdan hold?", "what other facility can hold 215 prisoners?" ]
0
goris, 215
[ "Name", "Armenian", "Location", "# of prisoners designed for", "Notes" ]
what other facility can hold 215 prisoners?
[ [ "Nubarashen", "<<Nowbarashen>>", "Nubarashen, Yerevan", "840", "nan" ], [ "Kosh", "<<Kosh>>", "Kosh, Aragatsotn", "640", "nan" ], [ "Sevan", "<<Sewan>>", "Hrazdan, Kotayk", "548", "nan" ], [ "Prison Hospital", "<<Datapartyalneri hivan...
[ "Goris", "215" ]
what other facility can hold 215 prisoners? || how many can hrazdan hold? | what are the prisons?
ns-961
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...
table_csv/204_414.csv
3
{ "column_index": [ 0 ], "row_index": [ 8 ] }
[ "what are the prisons?", "how many can hrazdan hold?", "what other facility can hold 215 prisoners?", "which one is it?" ]
0
goris
[ "Name", "Armenian", "Location", "# of prisoners designed for", "Notes" ]
which one is it?
[ [ "Nubarashen", "<<Nowbarashen>>", "Nubarashen, Yerevan", "840", "nan" ], [ "Kosh", "<<Kosh>>", "Kosh, Aragatsotn", "640", "nan" ], [ "Sevan", "<<Sewan>>", "Hrazdan, Kotayk", "548", "nan" ], [ "Prison Hospital", "<<Datapartyalneri hivan...
[ "Goris" ]
which one is it? || what other facility can hold 215 prisoners? | how many can hrazdan hold? | what are the prisons?
ns-961
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...
table_csv/204_414.csv
0
{ "column_index": [ 3 ], "row_index": [ 9 ] }
[ "how many prisoners is hrazden designed for?" ]
1
215
[ "Name", "Armenian", "Location", "# of prisoners designed for", "Notes" ]
how many prisoners is hrazden designed for?
[ [ "Nubarashen", "<<Nowbarashen>>", "Nubarashen, Yerevan", "840", "nan" ], [ "Kosh", "<<Kosh>>", "Kosh, Aragatsotn", "640", "nan" ], [ "Sevan", "<<Sewan>>", "Hrazdan, Kotayk", "548", "nan" ], [ "Prison Hospital", "<<Datapartyalneri hivan...
[ "215" ]
how many prisoners is hrazden designed for? ||
ns-961
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...
table_csv/204_414.csv
1
{ "column_index": [ 0 ], "row_index": [ 8 ] }
[ "how many prisoners is hrazden designed for?", "what other prison can hold 215 prisoners?" ]
1
goris
[ "Name", "Armenian", "Location", "# of prisoners designed for", "Notes" ]
what other prison can hold 215 prisoners?
[ [ "Nubarashen", "<<Nowbarashen>>", "Nubarashen, Yerevan", "840", "nan" ], [ "Kosh", "<<Kosh>>", "Kosh, Aragatsotn", "640", "nan" ], [ "Sevan", "<<Sewan>>", "Hrazdan, Kotayk", "548", "nan" ], [ "Prison Hospital", "<<Datapartyalneri hivan...
[ "Goris" ]
what other prison can hold 215 prisoners? || how many prisoners is hrazden designed for?
ns-961
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...
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 prison names?" ]
2
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 prison names?
[ [ "Nubarashen", "<<Nowbarashen>>", "Nubarashen, Yerevan", "840", "nan" ], [ "Kosh", "<<Kosh>>", "Kosh, Aragatsotn", "640", "nan" ], [ "Sevan", "<<Sewan>>", "Hrazdan, Kotayk", "548", "nan" ], [ "Prison Hospital", "<<Datapartyalneri hivan...
[ "Nubarashen", "Kosh", "Sevan", "Prison Hospital", "Erebuni", "Artik", "Abovyan", "Vanadzor", "Goris", "Hrazdan", "Vardashen", "Yerevan-Center" ]
what are all the prison names? ||
ns-961
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...
table_csv/204_414.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 ] }
[ "what are all the prison names?", "how many prisoners were they designed to hold?" ]
2
840, 640, 548, 464, 391, 373, 250, 245, 215, 215, 150, 60
[ "Name", "Armenian", "Location", "# of prisoners designed for", "Notes" ]
how many prisoners were they designed to hold?
[ [ "Nubarashen", "<<Nowbarashen>>", "Nubarashen, Yerevan", "840", "nan" ], [ "Kosh", "<<Kosh>>", "Kosh, Aragatsotn", "640", "nan" ], [ "Sevan", "<<Sewan>>", "Hrazdan, Kotayk", "548", "nan" ], [ "Prison Hospital", "<<Datapartyalneri hivan...
[ "840", "640", "548", "464", "391", "373", "250", "245", "215", "215", "150", "60" ]
how many prisoners were they designed to hold? || what are all the prison names?
ns-961
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...
table_csv/204_414.csv
2
{ "column_index": [ 0 ], "row_index": [ 8 ] }
[ "what are all the prison names?", "how many prisoners were they designed to hold?", "and which prison shares a prisoner threshold with hrazdan?" ]
2
goris
[ "Name", "Armenian", "Location", "# of prisoners designed for", "Notes" ]
and which prison shares a prisoner threshold with hrazdan?
[ [ "Nubarashen", "<<Nowbarashen>>", "Nubarashen, Yerevan", "840", "nan" ], [ "Kosh", "<<Kosh>>", "Kosh, Aragatsotn", "640", "nan" ], [ "Sevan", "<<Sewan>>", "Hrazdan, Kotayk", "548", "nan" ], [ "Prison Hospital", "<<Datapartyalneri hivan...
[ "Goris" ]
and which prison shares a prisoner threshold with hrazdan? || how many prisoners were they designed to hold? | what are all the prison names?
ns-969
col : pos | no | driver | constructor | time | gap row 1 : 1 | 1 | mika hakkinen | mclaren-mercedes | 1:24.804 | nan row 2 : 2 | 3 | michael schumacher | ferrari | 1:25.223 | 0.419 row 3 : 3 | 2 | david coulthard | mclaren-mercedes | 1:25.594 | 0.79 row 4 : 4 | 4 | eddie irvine | ferrari | 1:25.677 | 0.873 row 5 : 5 | ...
table_csv/202_78.csv
0
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 1...
[ "who were the racers at the 1999 british grand prix?" ]
0
mika hakkinen, michael schumacher, david coulthard, eddie irvine, heinz-harald frentzen, damon hill, rubens barrichello, ralf schumacher, jacques villeneuve, jean alesi, johnny herbert, pedro diniz, alessandro zanardi, jarno trulli, olivier panis, ricardo zonta, giancarlo fisichella, alexander wurz, toranosuke takagi, ...
[ "Pos", "No", "Driver", "Constructor", "Time", "Gap" ]
who were the racers at the 1999 british grand prix?
[ [ "1", "1", "Mika Hakkinen", "McLaren-Mercedes", "1:24.804", "nan" ], [ "2", "3", "Michael Schumacher", "Ferrari", "1:25.223", "0.419" ], [ "3", "2", "David Coulthard", "McLaren-Mercedes", "1:25.594", "0.79" ], [ "4", "4", ...
[ "Mika Hakkinen", "Michael Schumacher", "David Coulthard", "Eddie Irvine", "Heinz-Harald Frentzen", "Damon Hill", "Rubens Barrichello", "Ralf Schumacher", "Jacques Villeneuve", "Jean Alesi", "Johnny Herbert", "Pedro Diniz", "Alessandro Zanardi", "Jarno Trulli", "Olivier Panis", "Ricardo...
who were the racers at the 1999 british grand prix? ||
ns-969
col : pos | no | driver | constructor | time | gap row 1 : 1 | 1 | mika hakkinen | mclaren-mercedes | 1:24.804 | nan row 2 : 2 | 3 | michael schumacher | ferrari | 1:25.223 | 0.419 row 3 : 3 | 2 | david coulthard | mclaren-mercedes | 1:25.594 | 0.79 row 4 : 4 | 4 | eddie irvine | ferrari | 1:25.677 | 0.873 row 5 : 5 | ...
table_csv/202_78.csv
1
{ "column_index": [ 4 ], "row_index": [ 0 ] }
[ "who were the racers at the 1999 british grand prix?", "what was mika hakkinen's time?" ]
0
1:24.804
[ "Pos", "No", "Driver", "Constructor", "Time", "Gap" ]
what was mika hakkinen's time?
[ [ "1", "1", "Mika Hakkinen", "McLaren-Mercedes", "1:24.804", "nan" ], [ "2", "3", "Michael Schumacher", "Ferrari", "1:25.223", "0.419" ], [ "3", "2", "David Coulthard", "McLaren-Mercedes", "1:25.594", "0.79" ], [ "4", "4", ...
[ "1:24.804" ]
what was mika hakkinen's time? || who were the racers at the 1999 british grand prix?
ns-969
col : pos | no | driver | constructor | time | gap row 1 : 1 | 1 | mika hakkinen | mclaren-mercedes | 1:24.804 | nan row 2 : 2 | 3 | michael schumacher | ferrari | 1:25.223 | 0.419 row 3 : 3 | 2 | david coulthard | mclaren-mercedes | 1:25.594 | 0.79 row 4 : 4 | 4 | eddie irvine | ferrari | 1:25.677 | 0.873 row 5 : 5 | ...
table_csv/202_78.csv
2
{ "column_index": [ 4 ], "row_index": [ 20 ] }
[ "who were the racers at the 1999 british grand prix?", "what was mika hakkinen's time?", "what was luca badoer's time?" ]
0
1:28.695
[ "Pos", "No", "Driver", "Constructor", "Time", "Gap" ]
what was luca badoer's time?
[ [ "1", "1", "Mika Hakkinen", "McLaren-Mercedes", "1:24.804", "nan" ], [ "2", "3", "Michael Schumacher", "Ferrari", "1:25.223", "0.419" ], [ "3", "2", "David Coulthard", "McLaren-Mercedes", "1:25.594", "0.79" ], [ "4", "4", ...
[ "1:28.695" ]
what was luca badoer's time? || what was mika hakkinen's time? | who were the racers at the 1999 british grand prix?
ns-969
col : pos | no | driver | constructor | time | gap row 1 : 1 | 1 | mika hakkinen | mclaren-mercedes | 1:24.804 | nan row 2 : 2 | 3 | michael schumacher | ferrari | 1:25.223 | 0.419 row 3 : 3 | 2 | david coulthard | mclaren-mercedes | 1:25.594 | 0.79 row 4 : 4 | 4 | eddie irvine | ferrari | 1:25.677 | 0.873 row 5 : 5 | ...
table_csv/202_78.csv
3
{ "column_index": [ 5 ], "row_index": [ 20 ] }
[ "who were the racers at the 1999 british grand prix?", "what was mika hakkinen's time?", "what was luca badoer's time?", "what is the respective gap for luca badoer's time?" ]
0
+3.891
[ "Pos", "No", "Driver", "Constructor", "Time", "Gap" ]
what is the respective gap for luca badoer's time?
[ [ "1", "1", "Mika Hakkinen", "McLaren-Mercedes", "1:24.804", "nan" ], [ "2", "3", "Michael Schumacher", "Ferrari", "1:25.223", "0.419" ], [ "3", "2", "David Coulthard", "McLaren-Mercedes", "1:25.594", "0.79" ], [ "4", "4", ...
[ "+3.891" ]
what is the respective gap for luca badoer's time? || what was luca badoer's time? | what was mika hakkinen's time? | who were the racers at the 1999 british grand prix?
ns-969
col : pos | no | driver | constructor | time | gap row 1 : 1 | 1 | mika hakkinen | mclaren-mercedes | 1:24.804 | nan row 2 : 2 | 3 | michael schumacher | ferrari | 1:25.223 | 0.419 row 3 : 3 | 2 | david coulthard | mclaren-mercedes | 1:25.594 | 0.79 row 4 : 4 | 4 | eddie irvine | ferrari | 1:25.677 | 0.873 row 5 : 5 | ...
table_csv/202_78.csv
0
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 1...
[ "who are the drivers?" ]
1
mika hakkinen, michael schumacher, david coulthard, eddie irvine, heinz-harald frentzen, damon hill, rubens barrichello, ralf schumacher, jacques villeneuve, jean alesi, johnny herbert, pedro diniz, alessandro zanardi, jarno trulli, olivier panis, ricardo zonta, giancarlo fisichella, alexander wurz, toranosuke takagi, ...
[ "Pos", "No", "Driver", "Constructor", "Time", "Gap" ]
who are the drivers?
[ [ "1", "1", "Mika Hakkinen", "McLaren-Mercedes", "1:24.804", "nan" ], [ "2", "3", "Michael Schumacher", "Ferrari", "1:25.223", "0.419" ], [ "3", "2", "David Coulthard", "McLaren-Mercedes", "1:25.594", "0.79" ], [ "4", "4", ...
[ "Mika Hakkinen", "Michael Schumacher", "David Coulthard", "Eddie Irvine", "Heinz-Harald Frentzen", "Damon Hill", "Rubens Barrichello", "Ralf Schumacher", "Jacques Villeneuve", "Jean Alesi", "Johnny Herbert", "Pedro Diniz", "Alessandro Zanardi", "Jarno Trulli", "Olivier Panis", "Ricardo...
who are the drivers? ||
ns-969
col : pos | no | driver | constructor | time | gap row 1 : 1 | 1 | mika hakkinen | mclaren-mercedes | 1:24.804 | nan row 2 : 2 | 3 | michael schumacher | ferrari | 1:25.223 | 0.419 row 3 : 3 | 2 | david coulthard | mclaren-mercedes | 1:25.594 | 0.79 row 4 : 4 | 4 | eddie irvine | ferrari | 1:25.677 | 0.873 row 5 : 5 | ...
table_csv/202_78.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 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 1...
[ "who are the drivers?", "what are their numbers?" ]
1
1, 3, 2, 4, 8, 7, 16, 6, 22, 11, 17, 12, 5, 19, 18, 23, 9, 10, 15, 14, 20, 21
[ "Pos", "No", "Driver", "Constructor", "Time", "Gap" ]
what are their numbers?
[ [ "1", "1", "Mika Hakkinen", "McLaren-Mercedes", "1:24.804", "nan" ], [ "2", "3", "Michael Schumacher", "Ferrari", "1:25.223", "0.419" ], [ "3", "2", "David Coulthard", "McLaren-Mercedes", "1:25.594", "0.79" ], [ "4", "4", ...
[ "1", "3", "2", "4", "8", "7", "16", "6", "22", "11", "17", "12", "5", "19", "18", "23", "9", "10", "15", "14", "20", "21" ]
what are their numbers? || who are the drivers?
ns-969
col : pos | no | driver | constructor | time | gap row 1 : 1 | 1 | mika hakkinen | mclaren-mercedes | 1:24.804 | nan row 2 : 2 | 3 | michael schumacher | ferrari | 1:25.223 | 0.419 row 3 : 3 | 2 | david coulthard | mclaren-mercedes | 1:25.594 | 0.79 row 4 : 4 | 4 | eddie irvine | ferrari | 1:25.677 | 0.873 row 5 : 5 | ...
table_csv/202_78.csv
2
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 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, 13, 14, 15, 1...
[ "who are the drivers?", "what are their numbers?", "what are their times?" ]
1
1:24.804, 1:25.223, 1:25.594, 1:25.677, 1:25.991, 1:26.099, 1:26.194, 1:26.438, 1:26.719, 1:26.761, 1:26.873, 1:27.196, 1:27.223, 1:27.227, 1:27.543, 1:27.699, 1:27.857, 1:28.010, 1:28.037, 1:28.148, 1:28.695, 1:28.772
[ "Pos", "No", "Driver", "Constructor", "Time", "Gap" ]
what are their times?
[ [ "1", "1", "Mika Hakkinen", "McLaren-Mercedes", "1:24.804", "nan" ], [ "2", "3", "Michael Schumacher", "Ferrari", "1:25.223", "0.419" ], [ "3", "2", "David Coulthard", "McLaren-Mercedes", "1:25.594", "0.79" ], [ "4", "4", ...
[ "1:24.804", "1:25.223", "1:25.594", "1:25.677", "1:25.991", "1:26.099", "1:26.194", "1:26.438", "1:26.719", "1:26.761", "1:26.873", "1:27.196", "1:27.223", "1:27.227", "1:27.543", "1:27.699", "1:27.857", "1:28.010", "1:28.037", "1:28.148", "1:28.695", "1:28.772" ]
what are their times? || what are their numbers? | who are the drivers?
ns-969
col : pos | no | driver | constructor | time | gap row 1 : 1 | 1 | mika hakkinen | mclaren-mercedes | 1:24.804 | nan row 2 : 2 | 3 | michael schumacher | ferrari | 1:25.223 | 0.419 row 3 : 3 | 2 | david coulthard | mclaren-mercedes | 1:25.594 | 0.79 row 4 : 4 | 4 | eddie irvine | ferrari | 1:25.677 | 0.873 row 5 : 5 | ...
table_csv/202_78.csv
3
{ "column_index": [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 1...
[ "who are the drivers?", "what are their numbers?", "what are their times?", "what are the time differences?" ]
1
, +0.419, +0.790, +0.873, +1.187, +1.295, +1.390, +1.634, +1.915, +1.957, +2.069, +2.392, +2.419, +2.423, +2.739, +2.895, +3.053, +3.206, +3.233, +3.344, +3.891, +3.968
[ "Pos", "No", "Driver", "Constructor", "Time", "Gap" ]
what are the time differences?
[ [ "1", "1", "Mika Hakkinen", "McLaren-Mercedes", "1:24.804", "nan" ], [ "2", "3", "Michael Schumacher", "Ferrari", "1:25.223", "0.419" ], [ "3", "2", "David Coulthard", "McLaren-Mercedes", "1:25.594", "0.79" ], [ "4", "4", ...
[ "", "+0.419", "+0.790", "+0.873", "+1.187", "+1.295", "+1.390", "+1.634", "+1.915", "+1.957", "+2.069", "+2.392", "+2.419", "+2.423", "+2.739", "+2.895", "+3.053", "+3.206", "+3.233", "+3.344", "+3.891", "+3.968" ]
what are the time differences? || what are their times? | what are their numbers? | who are the drivers?
ns-969
col : pos | no | driver | constructor | time | gap row 1 : 1 | 1 | mika hakkinen | mclaren-mercedes | 1:24.804 | nan row 2 : 2 | 3 | michael schumacher | ferrari | 1:25.223 | 0.419 row 3 : 3 | 2 | david coulthard | mclaren-mercedes | 1:25.594 | 0.79 row 4 : 4 | 4 | eddie irvine | ferrari | 1:25.677 | 0.873 row 5 : 5 | ...
table_csv/202_78.csv
4
{ "column_index": [ 5 ], "row_index": [ 20 ] }
[ "who are the drivers?", "what are their numbers?", "what are their times?", "what are the time differences?", "what is it between mika hakkinen and luca badoer?" ]
1
+3.891
[ "Pos", "No", "Driver", "Constructor", "Time", "Gap" ]
what is it between mika hakkinen and luca badoer?
[ [ "1", "1", "Mika Hakkinen", "McLaren-Mercedes", "1:24.804", "nan" ], [ "2", "3", "Michael Schumacher", "Ferrari", "1:25.223", "0.419" ], [ "3", "2", "David Coulthard", "McLaren-Mercedes", "1:25.594", "0.79" ], [ "4", "4", ...
[ "+3.891" ]
what is it between mika hakkinen and luca badoer? || what are the time differences? | what are their times? | what are their numbers? | who are the drivers?
ns-969
col : pos | no | driver | constructor | time | gap row 1 : 1 | 1 | mika hakkinen | mclaren-mercedes | 1:24.804 | nan row 2 : 2 | 3 | michael schumacher | ferrari | 1:25.223 | 0.419 row 3 : 3 | 2 | david coulthard | mclaren-mercedes | 1:25.594 | 0.79 row 4 : 4 | 4 | eddie irvine | ferrari | 1:25.677 | 0.873 row 5 : 5 | ...
table_csv/202_78.csv
0
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 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, 13, 14, 15, 1...
[ "what are all the 199 british grand prix times?" ]
2
1:24.804, 1:25.223, 1:25.594, 1:25.677, 1:25.991, 1:26.099, 1:26.194, 1:26.438, 1:26.719, 1:26.761, 1:26.873, 1:27.196, 1:27.223, 1:27.227, 1:27.543, 1:27.699, 1:27.857, 1:28.010, 1:28.037, 1:28.148, 1:28.695, 1:28.772
[ "Pos", "No", "Driver", "Constructor", "Time", "Gap" ]
what are all the 199 british grand prix times?
[ [ "1", "1", "Mika Hakkinen", "McLaren-Mercedes", "1:24.804", "nan" ], [ "2", "3", "Michael Schumacher", "Ferrari", "1:25.223", "0.419" ], [ "3", "2", "David Coulthard", "McLaren-Mercedes", "1:25.594", "0.79" ], [ "4", "4", ...
[ "1:24.804", "1:25.223", "1:25.594", "1:25.677", "1:25.991", "1:26.099", "1:26.194", "1:26.438", "1:26.719", "1:26.761", "1:26.873", "1:27.196", "1:27.223", "1:27.227", "1:27.543", "1:27.699", "1:27.857", "1:28.010", "1:28.037", "1:28.148", "1:28.695", "1:28.772" ]
what are all the 199 british grand prix times? ||
ns-969
col : pos | no | driver | constructor | time | gap row 1 : 1 | 1 | mika hakkinen | mclaren-mercedes | 1:24.804 | nan row 2 : 2 | 3 | michael schumacher | ferrari | 1:25.223 | 0.419 row 3 : 3 | 2 | david coulthard | mclaren-mercedes | 1:25.594 | 0.79 row 4 : 4 | 4 | eddie irvine | ferrari | 1:25.677 | 0.873 row 5 : 5 | ...
table_csv/202_78.csv
1
{ "column_index": [ 4 ], "row_index": [ 0 ] }
[ "what are all the 199 british grand prix times?", "what was mika hakkinen's time?" ]
2
1:24.804
[ "Pos", "No", "Driver", "Constructor", "Time", "Gap" ]
what was mika hakkinen's time?
[ [ "1", "1", "Mika Hakkinen", "McLaren-Mercedes", "1:24.804", "nan" ], [ "2", "3", "Michael Schumacher", "Ferrari", "1:25.223", "0.419" ], [ "3", "2", "David Coulthard", "McLaren-Mercedes", "1:25.594", "0.79" ], [ "4", "4", ...
[ "1:24.804" ]
what was mika hakkinen's time? || what are all the 199 british grand prix times?
ns-969
col : pos | no | driver | constructor | time | gap row 1 : 1 | 1 | mika hakkinen | mclaren-mercedes | 1:24.804 | nan row 2 : 2 | 3 | michael schumacher | ferrari | 1:25.223 | 0.419 row 3 : 3 | 2 | david coulthard | mclaren-mercedes | 1:25.594 | 0.79 row 4 : 4 | 4 | eddie irvine | ferrari | 1:25.677 | 0.873 row 5 : 5 | ...
table_csv/202_78.csv
2
{ "column_index": [ 4 ], "row_index": [ 20 ] }
[ "what are all the 199 british grand prix times?", "what was mika hakkinen's time?", "what about luca badoers?" ]
2
1:28.695
[ "Pos", "No", "Driver", "Constructor", "Time", "Gap" ]
what about luca badoers?
[ [ "1", "1", "Mika Hakkinen", "McLaren-Mercedes", "1:24.804", "nan" ], [ "2", "3", "Michael Schumacher", "Ferrari", "1:25.223", "0.419" ], [ "3", "2", "David Coulthard", "McLaren-Mercedes", "1:25.594", "0.79" ], [ "4", "4", ...
[ "1:28.695" ]
what about luca badoers? || what was mika hakkinen's time? | what are all the 199 british grand prix times?
ns-969
col : pos | no | driver | constructor | time | gap row 1 : 1 | 1 | mika hakkinen | mclaren-mercedes | 1:24.804 | nan row 2 : 2 | 3 | michael schumacher | ferrari | 1:25.223 | 0.419 row 3 : 3 | 2 | david coulthard | mclaren-mercedes | 1:25.594 | 0.79 row 4 : 4 | 4 | eddie irvine | ferrari | 1:25.677 | 0.873 row 5 : 5 | ...
table_csv/202_78.csv
3
{ "column_index": [ 5 ], "row_index": [ 20 ] }
[ "what are all the 199 british grand prix times?", "what was mika hakkinen's time?", "what about luca badoers?", "what is the time gap between the two?" ]
2
+3.891
[ "Pos", "No", "Driver", "Constructor", "Time", "Gap" ]
what is the time gap between the two?
[ [ "1", "1", "Mika Hakkinen", "McLaren-Mercedes", "1:24.804", "nan" ], [ "2", "3", "Michael Schumacher", "Ferrari", "1:25.223", "0.419" ], [ "3", "2", "David Coulthard", "McLaren-Mercedes", "1:25.594", "0.79" ], [ "4", "4", ...
[ "+3.891" ]
what is the time gap between the two? || what about luca badoers? | what was mika hakkinen's time? | what are all the 199 british grand prix times?
nt-2255
col : week | date | opponent | score | result | record row 1 : 1 | july 9 | vs. saskatchewan roughriders | 31-21 | win | 1-0 row 2 : 2 | july 16 | at montreal concordes | 36-0 | win | 2-0 row 3 : 3 | july 24 | vs. hamilton tiger-cats | 36-25 | loss | 2-1 row 4 : 4 | aug 1 | at edmonton eskimos | 32-26 | win | 3-1 row 5...
table_csv/204_227.csv
0
{ "column_index": [ 2, 2, 2, 2, 2 ], "row_index": [ 2, 8, 9, 14, 15 ] }
[ "against what opponents did the 1982 winnipeg blue bombers lose?" ]
0
vs. hamilton tiger-cats, vs. calgary stampeders, at ottawa rough riders, vs. edmonton eskimos, at hamilton tiger-cats
[ "Week", "Date", "Opponent", "Score", "Result", "Record" ]
against what opponents did the 1982 winnipeg blue bombers lose?
[ [ "1", "July 9", "vs. Saskatchewan Roughriders", "31-21", "Win", "1-0" ], [ "2", "July 16", "at Montreal Concordes", "36-0", "Win", "2-0" ], [ "3", "July 24", "vs. Hamilton Tiger-Cats", "36-25", "Loss", "2-1" ], [ "4", "Aug ...
[ "vs. Hamilton Tiger-Cats", "vs. Calgary Stampeders", "at Ottawa Rough Riders", "vs. Edmonton Eskimos", "at Hamilton Tiger-Cats" ]
against what opponents did the 1982 winnipeg blue bombers lose? ||
nt-2255
col : week | date | opponent | score | result | record row 1 : 1 | july 9 | vs. saskatchewan roughriders | 31-21 | win | 1-0 row 2 : 2 | july 16 | at montreal concordes | 36-0 | win | 2-0 row 3 : 3 | july 24 | vs. hamilton tiger-cats | 36-25 | loss | 2-1 row 4 : 4 | aug 1 | at edmonton eskimos | 32-26 | win | 3-1 row 5...
table_csv/204_227.csv
1
{ "column_index": [ 3, 3, 3 ], "row_index": [ 2, 8, 14 ] }
[ "against what opponents did the 1982 winnipeg blue bombers lose?", "what was the scores of the home losses?" ]
0
36-25, 15-11, 33-17
[ "Week", "Date", "Opponent", "Score", "Result", "Record" ]
what was the scores of the home losses?
[ [ "1", "July 9", "vs. Saskatchewan Roughriders", "31-21", "Win", "1-0" ], [ "2", "July 16", "at Montreal Concordes", "36-0", "Win", "2-0" ], [ "3", "July 24", "vs. Hamilton Tiger-Cats", "36-25", "Loss", "2-1" ], [ "4", "Aug ...
[ "36-25", "15-11", "33-17" ]
what was the scores of the home losses? || against what opponents did the 1982 winnipeg blue bombers lose?
nt-2255
col : week | date | opponent | score | result | record row 1 : 1 | july 9 | vs. saskatchewan roughriders | 31-21 | win | 1-0 row 2 : 2 | july 16 | at montreal concordes | 36-0 | win | 2-0 row 3 : 3 | july 24 | vs. hamilton tiger-cats | 36-25 | loss | 2-1 row 4 : 4 | aug 1 | at edmonton eskimos | 32-26 | win | 3-1 row 5...
table_csv/204_227.csv
2
{ "column_index": [ 1 ], "row_index": [ 8 ] }
[ "against what opponents did the 1982 winnipeg blue bombers lose?", "what was the scores of the home losses?", "of the home losses what is the date of the game they lost by the least points?" ]
0
sept 11
[ "Week", "Date", "Opponent", "Score", "Result", "Record" ]
of the home losses what is the date of the game they lost by the least points?
[ [ "1", "July 9", "vs. Saskatchewan Roughriders", "31-21", "Win", "1-0" ], [ "2", "July 16", "at Montreal Concordes", "36-0", "Win", "2-0" ], [ "3", "July 24", "vs. Hamilton Tiger-Cats", "36-25", "Loss", "2-1" ], [ "4", "Aug ...
[ "Sept 11" ]
of the home losses what is the date of the game they lost by the least points? || what was the scores of the home losses? | against what opponents did the 1982 winnipeg blue bombers lose?
nt-2255
col : week | date | opponent | score | result | record row 1 : 1 | july 9 | vs. saskatchewan roughriders | 31-21 | win | 1-0 row 2 : 2 | july 16 | at montreal concordes | 36-0 | win | 2-0 row 3 : 3 | july 24 | vs. hamilton tiger-cats | 36-25 | loss | 2-1 row 4 : 4 | aug 1 | at edmonton eskimos | 32-26 | win | 3-1 row 5...
table_csv/204_227.csv
0
{ "column_index": [ 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 ] }
[ "which dates did the bombers play?" ]
1
july 9, july 16, july 24, aug 1, aug 8, aug 20, aug 28, sept 5, sept 11, sept 18, sept 25, oct 2, oct 11, oct 17, oct 23, nov 7
[ "Week", "Date", "Opponent", "Score", "Result", "Record" ]
which dates did the bombers play?
[ [ "1", "July 9", "vs. Saskatchewan Roughriders", "31-21", "Win", "1-0" ], [ "2", "July 16", "at Montreal Concordes", "36-0", "Win", "2-0" ], [ "3", "July 24", "vs. Hamilton Tiger-Cats", "36-25", "Loss", "2-1" ], [ "4", "Aug ...
[ "July 9", "July 16", "July 24", "Aug 1", "Aug 8", "Aug 20", "Aug 28", "Sept 5", "Sept 11", "Sept 18", "Sept 25", "Oct 2", "Oct 11", "Oct 17", "Oct 23", "Nov 7" ]
which dates did the bombers play? ||
nt-2255
col : week | date | opponent | score | result | record row 1 : 1 | july 9 | vs. saskatchewan roughriders | 31-21 | win | 1-0 row 2 : 2 | july 16 | at montreal concordes | 36-0 | win | 2-0 row 3 : 3 | july 24 | vs. hamilton tiger-cats | 36-25 | loss | 2-1 row 4 : 4 | aug 1 | at edmonton eskimos | 32-26 | win | 3-1 row 5...
table_csv/204_227.csv
1
{ "column_index": [ 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 ] }
[ "which dates did the bombers play?", "of those dates, on which did they score points?" ]
1
july 9, july 16, july 24, aug 1, aug 8, aug 20, aug 28, sept 5, sept 11, sept 18, sept 25, oct 2, oct 11, oct 17, oct 23, nov 7
[ "Week", "Date", "Opponent", "Score", "Result", "Record" ]
of those dates, on which did they score points?
[ [ "1", "July 9", "vs. Saskatchewan Roughriders", "31-21", "Win", "1-0" ], [ "2", "July 16", "at Montreal Concordes", "36-0", "Win", "2-0" ], [ "3", "July 24", "vs. Hamilton Tiger-Cats", "36-25", "Loss", "2-1" ], [ "4", "Aug ...
[ "July 9", "July 16", "July 24", "Aug 1", "Aug 8", "Aug 20", "Aug 28", "Sept 5", "Sept 11", "Sept 18", "Sept 25", "Oct 2", "Oct 11", "Oct 17", "Oct 23", "Nov 7" ]
of those dates, on which did they score points? || which dates did the bombers play?
nt-2255
col : week | date | opponent | score | result | record row 1 : 1 | july 9 | vs. saskatchewan roughriders | 31-21 | win | 1-0 row 2 : 2 | july 16 | at montreal concordes | 36-0 | win | 2-0 row 3 : 3 | july 24 | vs. hamilton tiger-cats | 36-25 | loss | 2-1 row 4 : 4 | aug 1 | at edmonton eskimos | 32-26 | win | 3-1 row 5...
table_csv/204_227.csv
2
{ "column_index": [ 1 ], "row_index": [ 8 ] }
[ "which dates did the bombers play?", "of those dates, on which did they score points?", "of the days on which they scored points, on which did they score the least points?" ]
1
sept 11
[ "Week", "Date", "Opponent", "Score", "Result", "Record" ]
of the days on which they scored points, on which did they score the least points?
[ [ "1", "July 9", "vs. Saskatchewan Roughriders", "31-21", "Win", "1-0" ], [ "2", "July 16", "at Montreal Concordes", "36-0", "Win", "2-0" ], [ "3", "July 24", "vs. Hamilton Tiger-Cats", "36-25", "Loss", "2-1" ], [ "4", "Aug ...
[ "Sept 11" ]
of the days on which they scored points, on which did they score the least points? || of those dates, on which did they score points? | which dates did the bombers play?
nt-2255
col : week | date | opponent | score | result | record row 1 : 1 | july 9 | vs. saskatchewan roughriders | 31-21 | win | 1-0 row 2 : 2 | july 16 | at montreal concordes | 36-0 | win | 2-0 row 3 : 3 | july 24 | vs. hamilton tiger-cats | 36-25 | loss | 2-1 row 4 : 4 | aug 1 | at edmonton eskimos | 32-26 | win | 3-1 row 5...
table_csv/204_227.csv
0
{ "column_index": [ 3, 3 ], "row_index": [ 8, 10 ] }
[ "which scores show the bombers scoring under 20 points?" ]
2
15-11, 19-16
[ "Week", "Date", "Opponent", "Score", "Result", "Record" ]
which scores show the bombers scoring under 20 points?
[ [ "1", "July 9", "vs. Saskatchewan Roughriders", "31-21", "Win", "1-0" ], [ "2", "July 16", "at Montreal Concordes", "36-0", "Win", "2-0" ], [ "3", "July 24", "vs. Hamilton Tiger-Cats", "36-25", "Loss", "2-1" ], [ "4", "Aug ...
[ "15-11", "19-16" ]
which scores show the bombers scoring under 20 points? ||
nt-2255
col : week | date | opponent | score | result | record row 1 : 1 | july 9 | vs. saskatchewan roughriders | 31-21 | win | 1-0 row 2 : 2 | july 16 | at montreal concordes | 36-0 | win | 2-0 row 3 : 3 | july 24 | vs. hamilton tiger-cats | 36-25 | loss | 2-1 row 4 : 4 | aug 1 | at edmonton eskimos | 32-26 | win | 3-1 row 5...
table_csv/204_227.csv
1
{ "column_index": [ 3 ], "row_index": [ 8 ] }
[ "which scores show the bombers scoring under 20 points?", "of those, which score was the lowest?" ]
2
15-11
[ "Week", "Date", "Opponent", "Score", "Result", "Record" ]
of those, which score was the lowest?
[ [ "1", "July 9", "vs. Saskatchewan Roughriders", "31-21", "Win", "1-0" ], [ "2", "July 16", "at Montreal Concordes", "36-0", "Win", "2-0" ], [ "3", "July 24", "vs. Hamilton Tiger-Cats", "36-25", "Loss", "2-1" ], [ "4", "Aug ...
[ "15-11" ]
of those, which score was the lowest? || which scores show the bombers scoring under 20 points?
nt-2255
col : week | date | opponent | score | result | record row 1 : 1 | july 9 | vs. saskatchewan roughriders | 31-21 | win | 1-0 row 2 : 2 | july 16 | at montreal concordes | 36-0 | win | 2-0 row 3 : 3 | july 24 | vs. hamilton tiger-cats | 36-25 | loss | 2-1 row 4 : 4 | aug 1 | at edmonton eskimos | 32-26 | win | 3-1 row 5...
table_csv/204_227.csv
2
{ "column_index": [ 1 ], "row_index": [ 8 ] }
[ "which scores show the bombers scoring under 20 points?", "of those, which score was the lowest?", "on what date was that score?" ]
2
sept 11
[ "Week", "Date", "Opponent", "Score", "Result", "Record" ]
on what date was that score?
[ [ "1", "July 9", "vs. Saskatchewan Roughriders", "31-21", "Win", "1-0" ], [ "2", "July 16", "at Montreal Concordes", "36-0", "Win", "2-0" ], [ "3", "July 24", "vs. Hamilton Tiger-Cats", "36-25", "Loss", "2-1" ], [ "4", "Aug ...
[ "Sept 11" ]
on what date was that score? || of those, which score was the lowest? | which scores show the bombers scoring under 20 points?
ns-3106
col : player | team | date | opponent | venue row 1 : tony lazzeri | new york yankees | may 24, 1936 | philadelphia athletics | shibe park row 2 : jim tabor | boston red sox | july 4, 19393 | philadelphia athletics | shibe park row 3 : rudy york | boston red sox | july 27, 1946 | st. louis browns | sportsman's park row...
table_csv/203_549.csv
0
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ] }
[ "when were the records accomplished?" ]
0
may 24, 1936, july 4, 19393, july 27, 1946, may 9, 1961, july 3, 1966, june 24, 1968, june 26, 1970, september 4, 1995, august 14, 1998, april 23, 1999, may 10, 1999, july 29, 2003, july 27, 2009
[ "Player", "Team", "Date", "Opponent", "Venue" ]
when were the records accomplished?
[ [ "Tony Lazzeri", "New York Yankees", "May 24, 1936", "Philadelphia Athletics", "Shibe Park" ], [ "Jim Tabor", "Boston Red Sox", "July 4, 19393", "Philadelphia Athletics", "Shibe Park" ], [ "Rudy York", "Boston Red Sox", "July 27, 1946", "St. Louis Bro...
[ "May 24, 1936", "July 4, 19393", "July 27, 1946", "May 9, 1961", "July 3, 1966", "June 24, 1968", "June 26, 1970", "September 4, 1995", "August 14, 1998", "April 23, 1999", "May 10, 1999", "July 29, 2003", "July 27, 2009" ]
when were the records accomplished? ||
ns-3106
col : player | team | date | opponent | venue row 1 : tony lazzeri | new york yankees | may 24, 1936 | philadelphia athletics | shibe park row 2 : jim tabor | boston red sox | july 4, 19393 | philadelphia athletics | shibe park row 3 : rudy york | boston red sox | july 27, 1946 | st. louis browns | sportsman's park row...
table_csv/203_549.csv
1
{ "column_index": [ 2 ], "row_index": [ 2 ] }
[ "when were the records accomplished?", "when in 1946 was a record accomplished?" ]
0
july 27, 1946
[ "Player", "Team", "Date", "Opponent", "Venue" ]
when in 1946 was a record accomplished?
[ [ "Tony Lazzeri", "New York Yankees", "May 24, 1936", "Philadelphia Athletics", "Shibe Park" ], [ "Jim Tabor", "Boston Red Sox", "July 4, 19393", "Philadelphia Athletics", "Shibe Park" ], [ "Rudy York", "Boston Red Sox", "July 27, 1946", "St. Louis Bro...
[ "July 27, 1946" ]
when in 1946 was a record accomplished? || when were the records accomplished?
ns-3106
col : player | team | date | opponent | venue row 1 : tony lazzeri | new york yankees | may 24, 1936 | philadelphia athletics | shibe park row 2 : jim tabor | boston red sox | july 4, 19393 | philadelphia athletics | shibe park row 3 : rudy york | boston red sox | july 27, 1946 | st. louis browns | sportsman's park row...
table_csv/203_549.csv
2
{ "column_index": [ 0 ], "row_index": [ 2 ] }
[ "when were the records accomplished?", "when in 1946 was a record accomplished?", "who accomplished a record on this date?" ]
0
rudy york
[ "Player", "Team", "Date", "Opponent", "Venue" ]
who accomplished a record on this date?
[ [ "Tony Lazzeri", "New York Yankees", "May 24, 1936", "Philadelphia Athletics", "Shibe Park" ], [ "Jim Tabor", "Boston Red Sox", "July 4, 19393", "Philadelphia Athletics", "Shibe Park" ], [ "Rudy York", "Boston Red Sox", "July 27, 1946", "St. Louis Bro...
[ "Rudy York" ]
who accomplished a record on this date? || when in 1946 was a record accomplished? | when were the records accomplished?
ns-3106
col : player | team | date | opponent | venue row 1 : tony lazzeri | new york yankees | may 24, 1936 | philadelphia athletics | shibe park row 2 : jim tabor | boston red sox | july 4, 19393 | philadelphia athletics | shibe park row 3 : rudy york | boston red sox | july 27, 1946 | st. louis browns | sportsman's park row...
table_csv/203_549.csv
0
{ "column_index": [ 1 ], "row_index": [ 2 ] }
[ "what team did the player play for in 1946?" ]
1
boston red sox
[ "Player", "Team", "Date", "Opponent", "Venue" ]
what team did the player play for in 1946?
[ [ "Tony Lazzeri", "New York Yankees", "May 24, 1936", "Philadelphia Athletics", "Shibe Park" ], [ "Jim Tabor", "Boston Red Sox", "July 4, 19393", "Philadelphia Athletics", "Shibe Park" ], [ "Rudy York", "Boston Red Sox", "July 27, 1946", "St. Louis Bro...
[ "Boston Red Sox" ]
what team did the player play for in 1946? ||
ns-3106
col : player | team | date | opponent | venue row 1 : tony lazzeri | new york yankees | may 24, 1936 | philadelphia athletics | shibe park row 2 : jim tabor | boston red sox | july 4, 19393 | philadelphia athletics | shibe park row 3 : rudy york | boston red sox | july 27, 1946 | st. louis browns | sportsman's park row...
table_csv/203_549.csv
1
{ "column_index": [ 0 ], "row_index": [ 2 ] }
[ "what team did the player play for in 1946?", "what was his name?" ]
1
rudy york
[ "Player", "Team", "Date", "Opponent", "Venue" ]
what was his name?
[ [ "Tony Lazzeri", "New York Yankees", "May 24, 1936", "Philadelphia Athletics", "Shibe Park" ], [ "Jim Tabor", "Boston Red Sox", "July 4, 19393", "Philadelphia Athletics", "Shibe Park" ], [ "Rudy York", "Boston Red Sox", "July 27, 1946", "St. Louis Bro...
[ "Rudy York" ]
what was his name? || what team did the player play for in 1946?
ns-3106
col : player | team | date | opponent | venue row 1 : tony lazzeri | new york yankees | may 24, 1936 | philadelphia athletics | shibe park row 2 : jim tabor | boston red sox | july 4, 19393 | philadelphia athletics | shibe park row 3 : rudy york | boston red sox | july 27, 1946 | st. louis browns | sportsman's park row...
table_csv/203_549.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 ] }
[ "who is on the list of major league baseball home run records?" ]
2
tony lazzeri, jim tabor, rudy york, jim gentile, tony cloninger4, jim northrup, frank robinson, robin ventura, chris hoiles, fernando tatis5, nomar garciaparra6, bill mueller7, josh willingham
[ "Player", "Team", "Date", "Opponent", "Venue" ]
who is on the list of major league baseball home run records?
[ [ "Tony Lazzeri", "New York Yankees", "May 24, 1936", "Philadelphia Athletics", "Shibe Park" ], [ "Jim Tabor", "Boston Red Sox", "July 4, 19393", "Philadelphia Athletics", "Shibe Park" ], [ "Rudy York", "Boston Red Sox", "July 27, 1946", "St. Louis Bro...
[ "Tony Lazzeri", "Jim Tabor", "Rudy York", "Jim Gentile", "Tony Cloninger4", "Jim Northrup", "Frank Robinson", "Robin Ventura", "Chris Hoiles", "Fernando Tatis5", "Nomar Garciaparra6", "Bill Mueller7", "Josh Willingham" ]
who is on the list of major league baseball home run records? ||
ns-3106
col : player | team | date | opponent | venue row 1 : tony lazzeri | new york yankees | may 24, 1936 | philadelphia athletics | shibe park row 2 : jim tabor | boston red sox | july 4, 19393 | philadelphia athletics | shibe park row 3 : rudy york | boston red sox | july 27, 1946 | st. louis browns | sportsman's park row...
table_csv/203_549.csv
1
{ "column_index": [ 0 ], "row_index": [ 2 ] }
[ "who is on the list of major league baseball home run records?", "of these who won in 1946?" ]
2
rudy york
[ "Player", "Team", "Date", "Opponent", "Venue" ]
of these who won in 1946?
[ [ "Tony Lazzeri", "New York Yankees", "May 24, 1936", "Philadelphia Athletics", "Shibe Park" ], [ "Jim Tabor", "Boston Red Sox", "July 4, 19393", "Philadelphia Athletics", "Shibe Park" ], [ "Rudy York", "Boston Red Sox", "July 27, 1946", "St. Louis Bro...
[ "Rudy York" ]
of these who won in 1946? || who is on the list of major league baseball home run records?
ns-3101
col : rank | nation | gold | silver | bronze | total row 1 : 1 | cuba | 4 | 3 | 2 | 9 row 2 : 2 | canada | 4 | 2 | 1 | 7 row 3 : 3 | united states | 2 | 0 | 2 | 4 row 4 : 4 | mexico | 1 | 1 | 0 | 2 row 5 : 5 | ecuador | 1 | 0 | 0 | 1 row 6 : 6 | argentina | 0 | 4 | 3 | 7 row 7 : 7 | brazil | 0 | 2 | 2 | 4 row 8 : 8 | c...
table_csv/204_302.csv
0
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8 ] }
[ "what is the number of gold medals won by each nation in canoeing at the 2011 pan american games?" ]
0
4, 4, 2, 1, 1, 0, 0, 0, 0
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what is the number of gold medals won by each nation in canoeing at the 2011 pan american games?
[ [ "1", "Cuba", "4", "3", "2", "9" ], [ "2", "Canada", "4", "2", "1", "7" ], [ "3", "United States", "2", "0", "2", "4" ], [ "4", "Mexico", "1", "1", "0", "2" ], [ "5", "Ecuador", "1", "0",...
[ "4", "4", "2", "1", "1", "0", "0", "0", "0" ]
what is the number of gold medals won by each nation in canoeing at the 2011 pan american games? ||