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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 | [227] row 3 : 2000 | madrid | tsai sung-pin (tpe) | jamie van natta (usa) | united states | united states | nan | [228] row 4 : 2002 | chonburi | adam wheatcroft (usa) | mary zorn (usa) | united states | united states | nan | [229] row 5 : 2004 | madrid | choi yong-hee (kor) | mary zorn (usa) | south korea | united states | nan | [230] row 6 : 2006 | vinicne | braden gellenthien (usa) | amandine bouillot (fra) | united states | france | united states | [231] row 7 : 2008 | tainan | jedd greschock (usa) | erika anschutz (usa) | mexico | south korea | united states | [232] row 8 : 2010 | shenzhen | adam gallant (usa) | vida halimian (iri) | united states | united states | united states | [233] row 9 : 2012 | cordoba | daniel suter (usa) | kristina berger (ger) | italy | united states | united states | [234] row 10 : 2014 | legnica | nan | nan | nan | nan | nan | nan
|
table_csv/204_132.csv
| 0 |
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|
[
"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",
"Madrid",
"Tsai Sung-Pin (TPE)",
"Jamie van Natta (USA)",
"United States",
"United States",
"nan",
"[228]"
],
[
"2002",
"Chonburi",
"Adam Wheatcroft (USA)",
"Mary Zorn (USA)",
"United States",
"United States",
"nan",
"[229]"
],
[
"2004",
"Madrid",
"Choi Yong-Hee (KOR)",
"Mary Zorn (USA)",
"South Korea",
"United States",
"nan",
"[230]"
],
[
"2006",
"Vinicne",
"Braden Gellenthien (USA)",
"Amandine Bouillot (FRA)",
"United States",
"France",
"United States",
"[231]"
],
[
"2008",
"Tainan",
"Jedd Greschock (USA)",
"Erika Anschutz (USA)",
"Mexico",
"South Korea",
"United States",
"[232]"
],
[
"2010",
"Shenzhen",
"Adam Gallant (USA)",
"Vida Halimian (IRI)",
"United States",
"United States",
"United States",
"[233]"
],
[
"2012",
"Cordoba",
"Daniel Suter (USA)",
"Kristina Berger (GER)",
"Italy",
"United States",
"United States",
"[234]"
],
[
"2014",
"Legnica",
"nan",
"nan",
"nan",
"nan",
"nan",
"nan"
]
] |
[
"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 | [227] row 3 : 2000 | madrid | tsai sung-pin (tpe) | jamie van natta (usa) | united states | united states | nan | [228] row 4 : 2002 | chonburi | adam wheatcroft (usa) | mary zorn (usa) | united states | united states | nan | [229] row 5 : 2004 | madrid | choi yong-hee (kor) | mary zorn (usa) | south korea | united states | nan | [230] row 6 : 2006 | vinicne | braden gellenthien (usa) | amandine bouillot (fra) | united states | france | united states | [231] row 7 : 2008 | tainan | jedd greschock (usa) | erika anschutz (usa) | mexico | south korea | united states | [232] row 8 : 2010 | shenzhen | adam gallant (usa) | vida halimian (iri) | united states | united states | united states | [233] row 9 : 2012 | cordoba | daniel suter (usa) | kristina berger (ger) | italy | united states | united states | [234] row 10 : 2014 | legnica | nan | nan | nan | nan | nan | nan
|
table_csv/204_132.csv
| 1 |
{
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5,
5,
5,
5
],
"row_index": [
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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",
"Madrid",
"Tsai Sung-Pin (TPE)",
"Jamie van Natta (USA)",
"United States",
"United States",
"nan",
"[228]"
],
[
"2002",
"Chonburi",
"Adam Wheatcroft (USA)",
"Mary Zorn (USA)",
"United States",
"United States",
"nan",
"[229]"
],
[
"2004",
"Madrid",
"Choi Yong-Hee (KOR)",
"Mary Zorn (USA)",
"South Korea",
"United States",
"nan",
"[230]"
],
[
"2006",
"Vinicne",
"Braden Gellenthien (USA)",
"Amandine Bouillot (FRA)",
"United States",
"France",
"United States",
"[231]"
],
[
"2008",
"Tainan",
"Jedd Greschock (USA)",
"Erika Anschutz (USA)",
"Mexico",
"South Korea",
"United States",
"[232]"
],
[
"2010",
"Shenzhen",
"Adam Gallant (USA)",
"Vida Halimian (IRI)",
"United States",
"United States",
"United States",
"[233]"
],
[
"2012",
"Cordoba",
"Daniel Suter (USA)",
"Kristina Berger (GER)",
"Italy",
"United States",
"United States",
"[234]"
],
[
"2014",
"Legnica",
"nan",
"nan",
"nan",
"nan",
"nan",
"nan"
]
] |
[
"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 | [227] row 3 : 2000 | madrid | tsai sung-pin (tpe) | jamie van natta (usa) | united states | united states | nan | [228] row 4 : 2002 | chonburi | adam wheatcroft (usa) | mary zorn (usa) | united states | united states | nan | [229] row 5 : 2004 | madrid | choi yong-hee (kor) | mary zorn (usa) | south korea | united states | nan | [230] row 6 : 2006 | vinicne | braden gellenthien (usa) | amandine bouillot (fra) | united states | france | united states | [231] row 7 : 2008 | tainan | jedd greschock (usa) | erika anschutz (usa) | mexico | south korea | united states | [232] row 8 : 2010 | shenzhen | adam gallant (usa) | vida halimian (iri) | united states | united states | united states | [233] row 9 : 2012 | cordoba | daniel suter (usa) | kristina berger (ger) | italy | united states | united states | [234] row 10 : 2014 | legnica | nan | nan | nan | nan | nan | 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",
"Madrid",
"Tsai Sung-Pin (TPE)",
"Jamie van Natta (USA)",
"United States",
"United States",
"nan",
"[228]"
],
[
"2002",
"Chonburi",
"Adam Wheatcroft (USA)",
"Mary Zorn (USA)",
"United States",
"United States",
"nan",
"[229]"
],
[
"2004",
"Madrid",
"Choi Yong-Hee (KOR)",
"Mary Zorn (USA)",
"South Korea",
"United States",
"nan",
"[230]"
],
[
"2006",
"Vinicne",
"Braden Gellenthien (USA)",
"Amandine Bouillot (FRA)",
"United States",
"France",
"United States",
"[231]"
],
[
"2008",
"Tainan",
"Jedd Greschock (USA)",
"Erika Anschutz (USA)",
"Mexico",
"South Korea",
"United States",
"[232]"
],
[
"2010",
"Shenzhen",
"Adam Gallant (USA)",
"Vida Halimian (IRI)",
"United States",
"United States",
"United States",
"[233]"
],
[
"2012",
"Cordoba",
"Daniel Suter (USA)",
"Kristina Berger (GER)",
"Italy",
"United States",
"United States",
"[234]"
],
[
"2014",
"Legnica",
"nan",
"nan",
"nan",
"nan",
"nan",
"nan"
]
] |
[
"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 | [227] row 3 : 2000 | madrid | tsai sung-pin (tpe) | jamie van natta (usa) | united states | united states | nan | [228] row 4 : 2002 | chonburi | adam wheatcroft (usa) | mary zorn (usa) | united states | united states | nan | [229] row 5 : 2004 | madrid | choi yong-hee (kor) | mary zorn (usa) | south korea | united states | nan | [230] row 6 : 2006 | vinicne | braden gellenthien (usa) | amandine bouillot (fra) | united states | france | united states | [231] row 7 : 2008 | tainan | jedd greschock (usa) | erika anschutz (usa) | mexico | south korea | united states | [232] row 8 : 2010 | shenzhen | adam gallant (usa) | vida halimian (iri) | united states | united states | united states | [233] row 9 : 2012 | cordoba | daniel suter (usa) | kristina berger (ger) | italy | united states | united states | [234] row 10 : 2014 | legnica | nan | nan | nan | nan | nan | 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",
"Madrid",
"Tsai Sung-Pin (TPE)",
"Jamie van Natta (USA)",
"United States",
"United States",
"nan",
"[228]"
],
[
"2002",
"Chonburi",
"Adam Wheatcroft (USA)",
"Mary Zorn (USA)",
"United States",
"United States",
"nan",
"[229]"
],
[
"2004",
"Madrid",
"Choi Yong-Hee (KOR)",
"Mary Zorn (USA)",
"South Korea",
"United States",
"nan",
"[230]"
],
[
"2006",
"Vinicne",
"Braden Gellenthien (USA)",
"Amandine Bouillot (FRA)",
"United States",
"France",
"United States",
"[231]"
],
[
"2008",
"Tainan",
"Jedd Greschock (USA)",
"Erika Anschutz (USA)",
"Mexico",
"South Korea",
"United States",
"[232]"
],
[
"2010",
"Shenzhen",
"Adam Gallant (USA)",
"Vida Halimian (IRI)",
"United States",
"United States",
"United States",
"[233]"
],
[
"2012",
"Cordoba",
"Daniel Suter (USA)",
"Kristina Berger (GER)",
"Italy",
"United States",
"United States",
"[234]"
],
[
"2014",
"Legnica",
"nan",
"nan",
"nan",
"nan",
"nan",
"nan"
]
] |
[
"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 | [227] row 3 : 2000 | madrid | tsai sung-pin (tpe) | jamie van natta (usa) | united states | united states | nan | [228] row 4 : 2002 | chonburi | adam wheatcroft (usa) | mary zorn (usa) | united states | united states | nan | [229] row 5 : 2004 | madrid | choi yong-hee (kor) | mary zorn (usa) | south korea | united states | nan | [230] row 6 : 2006 | vinicne | braden gellenthien (usa) | amandine bouillot (fra) | united states | france | united states | [231] row 7 : 2008 | tainan | jedd greschock (usa) | erika anschutz (usa) | mexico | south korea | united states | [232] row 8 : 2010 | shenzhen | adam gallant (usa) | vida halimian (iri) | united states | united states | united states | [233] row 9 : 2012 | cordoba | daniel suter (usa) | kristina berger (ger) | italy | united states | united states | [234] row 10 : 2014 | legnica | nan | nan | nan | nan | nan | 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",
"Madrid",
"Tsai Sung-Pin (TPE)",
"Jamie van Natta (USA)",
"United States",
"United States",
"nan",
"[228]"
],
[
"2002",
"Chonburi",
"Adam Wheatcroft (USA)",
"Mary Zorn (USA)",
"United States",
"United States",
"nan",
"[229]"
],
[
"2004",
"Madrid",
"Choi Yong-Hee (KOR)",
"Mary Zorn (USA)",
"South Korea",
"United States",
"nan",
"[230]"
],
[
"2006",
"Vinicne",
"Braden Gellenthien (USA)",
"Amandine Bouillot (FRA)",
"United States",
"France",
"United States",
"[231]"
],
[
"2008",
"Tainan",
"Jedd Greschock (USA)",
"Erika Anschutz (USA)",
"Mexico",
"South Korea",
"United States",
"[232]"
],
[
"2010",
"Shenzhen",
"Adam Gallant (USA)",
"Vida Halimian (IRI)",
"United States",
"United States",
"United States",
"[233]"
],
[
"2012",
"Cordoba",
"Daniel Suter (USA)",
"Kristina Berger (GER)",
"Italy",
"United States",
"United States",
"[234]"
],
[
"2014",
"Legnica",
"nan",
"nan",
"nan",
"nan",
"nan",
"nan"
]
] |
[
"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 | [227] row 3 : 2000 | madrid | tsai sung-pin (tpe) | jamie van natta (usa) | united states | united states | nan | [228] row 4 : 2002 | chonburi | adam wheatcroft (usa) | mary zorn (usa) | united states | united states | nan | [229] row 5 : 2004 | madrid | choi yong-hee (kor) | mary zorn (usa) | south korea | united states | nan | [230] row 6 : 2006 | vinicne | braden gellenthien (usa) | amandine bouillot (fra) | united states | france | united states | [231] row 7 : 2008 | tainan | jedd greschock (usa) | erika anschutz (usa) | mexico | south korea | united states | [232] row 8 : 2010 | shenzhen | adam gallant (usa) | vida halimian (iri) | united states | united states | united states | [233] row 9 : 2012 | cordoba | daniel suter (usa) | kristina berger (ger) | italy | united states | united states | [234] row 10 : 2014 | legnica | nan | nan | nan | nan | nan | 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",
"Madrid",
"Tsai Sung-Pin (TPE)",
"Jamie van Natta (USA)",
"United States",
"United States",
"nan",
"[228]"
],
[
"2002",
"Chonburi",
"Adam Wheatcroft (USA)",
"Mary Zorn (USA)",
"United States",
"United States",
"nan",
"[229]"
],
[
"2004",
"Madrid",
"Choi Yong-Hee (KOR)",
"Mary Zorn (USA)",
"South Korea",
"United States",
"nan",
"[230]"
],
[
"2006",
"Vinicne",
"Braden Gellenthien (USA)",
"Amandine Bouillot (FRA)",
"United States",
"France",
"United States",
"[231]"
],
[
"2008",
"Tainan",
"Jedd Greschock (USA)",
"Erika Anschutz (USA)",
"Mexico",
"South Korea",
"United States",
"[232]"
],
[
"2010",
"Shenzhen",
"Adam Gallant (USA)",
"Vida Halimian (IRI)",
"United States",
"United States",
"United States",
"[233]"
],
[
"2012",
"Cordoba",
"Daniel Suter (USA)",
"Kristina Berger (GER)",
"Italy",
"United States",
"United States",
"[234]"
],
[
"2014",
"Legnica",
"nan",
"nan",
"nan",
"nan",
"nan",
"nan"
]
] |
[
"",
"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 | [227] row 3 : 2000 | madrid | tsai sung-pin (tpe) | jamie van natta (usa) | united states | united states | nan | [228] row 4 : 2002 | chonburi | adam wheatcroft (usa) | mary zorn (usa) | united states | united states | nan | [229] row 5 : 2004 | madrid | choi yong-hee (kor) | mary zorn (usa) | south korea | united states | nan | [230] row 6 : 2006 | vinicne | braden gellenthien (usa) | amandine bouillot (fra) | united states | france | united states | [231] row 7 : 2008 | tainan | jedd greschock (usa) | erika anschutz (usa) | mexico | south korea | united states | [232] row 8 : 2010 | shenzhen | adam gallant (usa) | vida halimian (iri) | united states | united states | united states | [233] row 9 : 2012 | cordoba | daniel suter (usa) | kristina berger (ger) | italy | united states | united states | [234] row 10 : 2014 | legnica | nan | nan | nan | nan | nan | nan
|
table_csv/204_132.csv
| 1 |
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|
[
"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",
"Madrid",
"Tsai Sung-Pin (TPE)",
"Jamie van Natta (USA)",
"United States",
"United States",
"nan",
"[228]"
],
[
"2002",
"Chonburi",
"Adam Wheatcroft (USA)",
"Mary Zorn (USA)",
"United States",
"United States",
"nan",
"[229]"
],
[
"2004",
"Madrid",
"Choi Yong-Hee (KOR)",
"Mary Zorn (USA)",
"South Korea",
"United States",
"nan",
"[230]"
],
[
"2006",
"Vinicne",
"Braden Gellenthien (USA)",
"Amandine Bouillot (FRA)",
"United States",
"France",
"United States",
"[231]"
],
[
"2008",
"Tainan",
"Jedd Greschock (USA)",
"Erika Anschutz (USA)",
"Mexico",
"South Korea",
"United States",
"[232]"
],
[
"2010",
"Shenzhen",
"Adam Gallant (USA)",
"Vida Halimian (IRI)",
"United States",
"United States",
"United States",
"[233]"
],
[
"2012",
"Cordoba",
"Daniel Suter (USA)",
"Kristina Berger (GER)",
"Italy",
"United States",
"United States",
"[234]"
],
[
"2014",
"Legnica",
"nan",
"nan",
"nan",
"nan",
"nan",
"nan"
]
] |
[
"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 row 8 : 8 | great britain | 2 | 3 | 3 | 8 row 9 : 9 | ukraine | 2 | 3 | 2 | 7 row 10 : 10 | italy | 2 | 2 | 1 | 5 row 11 : 11 | canada | 2 | 0 | 1 | 3 row 12 : 12 | hungary | 1 | 4 | 1 | 6 row 13 : 13 | spain | 1 | 2 | 3 | 6 row 14 : 14 | poland | 1 | 1 | 0 | 2 row 15 : 15 | france | 1 | 0 | 2 | 3 row 16 : 16 | finland | 1 | 0 | 1 | 2 row 17 : 17 | belarus | 1 | 0 | 0 | 1 row 18 : 18 | czech republic | 0 | 2 | 0 | 2 row 19 : 19 | slovakia | 0 | 1 | 1 | 2 row 20 : 20 | denmark | 0 | 1 | 0 | 1 row 21 : 20 | croatia | 0 | 1 | 0 | 1 row 22 : 22 | romania | 0 | 0 | 2 | 2 row 23 : 23 | bulgaria | 0 | 0 | 1 | 1 row 24 : 23 | mexico | 0 | 0 | 1 | 1 row 25 : 23 | serbia and montenegro | 0 | 0 | 1 | 1 row 26 : 23 | south africa | 0 | 0 | 1 | 1 row 27 : 23 | sweden | 0 | 0 | 1 | 1 row 28 : 23 | tunisia | 0 | 0 | 1 | 1 row 29 : total | total | 62 | 65 | 59 | 186
|
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|
[
"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"
],
[
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"8",
"12",
"6",
"26"
],
[
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"4",
"8",
"19"
],
[
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"5",
"6",
"5",
"16"
],
[
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"3",
"3",
"3",
"9"
],
[
"7",
"Netherlands",
"3",
"2",
"2",
"7"
],
[
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"2",
"3",
"3",
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[
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"2",
"3",
"2",
"7"
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[
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"2",
"2",
"1",
"5"
],
[
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"Canada",
"2",
"0",
"1",
"3"
],
[
"12",
"Hungary",
"1",
"4",
"1",
"6"
],
[
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"1",
"2",
"3",
"6"
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[
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"1",
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"2"
],
[
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"0",
"2",
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[
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"1",
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[
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[
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[
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[
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"1",
"1"
],
[
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"0",
"0",
"1",
"1"
],
[
"23",
"South Africa",
"0",
"0",
"1",
"1"
],
[
"23",
"Sweden",
"0",
"0",
"1",
"1"
],
[
"23",
"Tunisia",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"62",
"65",
"59",
"186"
]
] |
[
"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"
] |
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 row 8 : 8 | great britain | 2 | 3 | 3 | 8 row 9 : 9 | ukraine | 2 | 3 | 2 | 7 row 10 : 10 | italy | 2 | 2 | 1 | 5 row 11 : 11 | canada | 2 | 0 | 1 | 3 row 12 : 12 | hungary | 1 | 4 | 1 | 6 row 13 : 13 | spain | 1 | 2 | 3 | 6 row 14 : 14 | poland | 1 | 1 | 0 | 2 row 15 : 15 | france | 1 | 0 | 2 | 3 row 16 : 16 | finland | 1 | 0 | 1 | 2 row 17 : 17 | belarus | 1 | 0 | 0 | 1 row 18 : 18 | czech republic | 0 | 2 | 0 | 2 row 19 : 19 | slovakia | 0 | 1 | 1 | 2 row 20 : 20 | denmark | 0 | 1 | 0 | 1 row 21 : 20 | croatia | 0 | 1 | 0 | 1 row 22 : 22 | romania | 0 | 0 | 2 | 2 row 23 : 23 | bulgaria | 0 | 0 | 1 | 1 row 24 : 23 | mexico | 0 | 0 | 1 | 1 row 25 : 23 | serbia and montenegro | 0 | 0 | 1 | 1 row 26 : 23 | south africa | 0 | 0 | 1 | 1 row 27 : 23 | sweden | 0 | 0 | 1 | 1 row 28 : 23 | tunisia | 0 | 0 | 1 | 1 row 29 : total | total | 62 | 65 | 59 | 186
|
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|
[
"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"
],
[
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"Australia",
"8",
"12",
"6",
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],
[
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"China",
"7",
"4",
"8",
"19"
],
[
"5",
"Germany",
"5",
"6",
"5",
"16"
],
[
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"Japan",
"3",
"3",
"3",
"9"
],
[
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"Netherlands",
"3",
"2",
"2",
"7"
],
[
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"Great Britain",
"2",
"3",
"3",
"8"
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[
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"2",
"3",
"2",
"7"
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[
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"2",
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"1",
"5"
],
[
"11",
"Canada",
"2",
"0",
"1",
"3"
],
[
"12",
"Hungary",
"1",
"4",
"1",
"6"
],
[
"13",
"Spain",
"1",
"2",
"3",
"6"
],
[
"14",
"Poland",
"1",
"1",
"0",
"2"
],
[
"15",
"France",
"1",
"0",
"2",
"3"
],
[
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"1",
"2"
],
[
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"1",
"0",
"0",
"1"
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[
"18",
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"0",
"2",
"0",
"2"
],
[
"19",
"Slovakia",
"0",
"1",
"1",
"2"
],
[
"20",
"Denmark",
"0",
"1",
"0",
"1"
],
[
"20",
"Croatia",
"0",
"1",
"0",
"1"
],
[
"22",
"Romania",
"0",
"0",
"2",
"2"
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[
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"0",
"0",
"1",
"1"
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[
"23",
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"0",
"0",
"1",
"1"
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[
"23",
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"0",
"1",
"1"
],
[
"23",
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"0",
"0",
"1",
"1"
],
[
"23",
"Sweden",
"0",
"0",
"1",
"1"
],
[
"23",
"Tunisia",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"62",
"65",
"59",
"186"
]
] |
[
"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"
] |
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 row 8 : 8 | great britain | 2 | 3 | 3 | 8 row 9 : 9 | ukraine | 2 | 3 | 2 | 7 row 10 : 10 | italy | 2 | 2 | 1 | 5 row 11 : 11 | canada | 2 | 0 | 1 | 3 row 12 : 12 | hungary | 1 | 4 | 1 | 6 row 13 : 13 | spain | 1 | 2 | 3 | 6 row 14 : 14 | poland | 1 | 1 | 0 | 2 row 15 : 15 | france | 1 | 0 | 2 | 3 row 16 : 16 | finland | 1 | 0 | 1 | 2 row 17 : 17 | belarus | 1 | 0 | 0 | 1 row 18 : 18 | czech republic | 0 | 2 | 0 | 2 row 19 : 19 | slovakia | 0 | 1 | 1 | 2 row 20 : 20 | denmark | 0 | 1 | 0 | 1 row 21 : 20 | croatia | 0 | 1 | 0 | 1 row 22 : 22 | romania | 0 | 0 | 2 | 2 row 23 : 23 | bulgaria | 0 | 0 | 1 | 1 row 24 : 23 | mexico | 0 | 0 | 1 | 1 row 25 : 23 | serbia and montenegro | 0 | 0 | 1 | 1 row 26 : 23 | south africa | 0 | 0 | 1 | 1 row 27 : 23 | sweden | 0 | 0 | 1 | 1 row 28 : 23 | tunisia | 0 | 0 | 1 | 1 row 29 : total | total | 62 | 65 | 59 | 186
|
table_csv/203_653.csv
| 2 |
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|
[
"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"
],
[
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"8",
"12",
"6",
"26"
],
[
"4",
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"7",
"4",
"8",
"19"
],
[
"5",
"Germany",
"5",
"6",
"5",
"16"
],
[
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"Japan",
"3",
"3",
"3",
"9"
],
[
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"3",
"2",
"2",
"7"
],
[
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"2",
"3",
"3",
"8"
],
[
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"2",
"3",
"2",
"7"
],
[
"10",
"Italy",
"2",
"2",
"1",
"5"
],
[
"11",
"Canada",
"2",
"0",
"1",
"3"
],
[
"12",
"Hungary",
"1",
"4",
"1",
"6"
],
[
"13",
"Spain",
"1",
"2",
"3",
"6"
],
[
"14",
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"1",
"1",
"0",
"2"
],
[
"15",
"France",
"1",
"0",
"2",
"3"
],
[
"16",
"Finland",
"1",
"0",
"1",
"2"
],
[
"17",
"Belarus",
"1",
"0",
"0",
"1"
],
[
"18",
"Czech Republic",
"0",
"2",
"0",
"2"
],
[
"19",
"Slovakia",
"0",
"1",
"1",
"2"
],
[
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"0",
"1",
"0",
"1"
],
[
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"1",
"0",
"1"
],
[
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"0",
"2",
"2"
],
[
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"Bulgaria",
"0",
"0",
"1",
"1"
],
[
"23",
"Mexico",
"0",
"0",
"1",
"1"
],
[
"23",
"Serbia and Montenegro",
"0",
"0",
"1",
"1"
],
[
"23",
"South Africa",
"0",
"0",
"1",
"1"
],
[
"23",
"Sweden",
"0",
"0",
"1",
"1"
],
[
"23",
"Tunisia",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"62",
"65",
"59",
"186"
]
] |
[
"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 row 8 : 8 | great britain | 2 | 3 | 3 | 8 row 9 : 9 | ukraine | 2 | 3 | 2 | 7 row 10 : 10 | italy | 2 | 2 | 1 | 5 row 11 : 11 | canada | 2 | 0 | 1 | 3 row 12 : 12 | hungary | 1 | 4 | 1 | 6 row 13 : 13 | spain | 1 | 2 | 3 | 6 row 14 : 14 | poland | 1 | 1 | 0 | 2 row 15 : 15 | france | 1 | 0 | 2 | 3 row 16 : 16 | finland | 1 | 0 | 1 | 2 row 17 : 17 | belarus | 1 | 0 | 0 | 1 row 18 : 18 | czech republic | 0 | 2 | 0 | 2 row 19 : 19 | slovakia | 0 | 1 | 1 | 2 row 20 : 20 | denmark | 0 | 1 | 0 | 1 row 21 : 20 | croatia | 0 | 1 | 0 | 1 row 22 : 22 | romania | 0 | 0 | 2 | 2 row 23 : 23 | bulgaria | 0 | 0 | 1 | 1 row 24 : 23 | mexico | 0 | 0 | 1 | 1 row 25 : 23 | serbia and montenegro | 0 | 0 | 1 | 1 row 26 : 23 | south africa | 0 | 0 | 1 | 1 row 27 : 23 | sweden | 0 | 0 | 1 | 1 row 28 : 23 | tunisia | 0 | 0 | 1 | 1 row 29 : total | total | 62 | 65 | 59 | 186
|
table_csv/203_653.csv
| 3 |
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|
[
"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",
"5",
"6",
"5",
"16"
],
[
"6",
"Japan",
"3",
"3",
"3",
"9"
],
[
"7",
"Netherlands",
"3",
"2",
"2",
"7"
],
[
"8",
"Great Britain",
"2",
"3",
"3",
"8"
],
[
"9",
"Ukraine",
"2",
"3",
"2",
"7"
],
[
"10",
"Italy",
"2",
"2",
"1",
"5"
],
[
"11",
"Canada",
"2",
"0",
"1",
"3"
],
[
"12",
"Hungary",
"1",
"4",
"1",
"6"
],
[
"13",
"Spain",
"1",
"2",
"3",
"6"
],
[
"14",
"Poland",
"1",
"1",
"0",
"2"
],
[
"15",
"France",
"1",
"0",
"2",
"3"
],
[
"16",
"Finland",
"1",
"0",
"1",
"2"
],
[
"17",
"Belarus",
"1",
"0",
"0",
"1"
],
[
"18",
"Czech Republic",
"0",
"2",
"0",
"2"
],
[
"19",
"Slovakia",
"0",
"1",
"1",
"2"
],
[
"20",
"Denmark",
"0",
"1",
"0",
"1"
],
[
"20",
"Croatia",
"0",
"1",
"0",
"1"
],
[
"22",
"Romania",
"0",
"0",
"2",
"2"
],
[
"23",
"Bulgaria",
"0",
"0",
"1",
"1"
],
[
"23",
"Mexico",
"0",
"0",
"1",
"1"
],
[
"23",
"Serbia and Montenegro",
"0",
"0",
"1",
"1"
],
[
"23",
"South Africa",
"0",
"0",
"1",
"1"
],
[
"23",
"Sweden",
"0",
"0",
"1",
"1"
],
[
"23",
"Tunisia",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"62",
"65",
"59",
"186"
]
] |
[
"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 row 8 : 8 | great britain | 2 | 3 | 3 | 8 row 9 : 9 | ukraine | 2 | 3 | 2 | 7 row 10 : 10 | italy | 2 | 2 | 1 | 5 row 11 : 11 | canada | 2 | 0 | 1 | 3 row 12 : 12 | hungary | 1 | 4 | 1 | 6 row 13 : 13 | spain | 1 | 2 | 3 | 6 row 14 : 14 | poland | 1 | 1 | 0 | 2 row 15 : 15 | france | 1 | 0 | 2 | 3 row 16 : 16 | finland | 1 | 0 | 1 | 2 row 17 : 17 | belarus | 1 | 0 | 0 | 1 row 18 : 18 | czech republic | 0 | 2 | 0 | 2 row 19 : 19 | slovakia | 0 | 1 | 1 | 2 row 20 : 20 | denmark | 0 | 1 | 0 | 1 row 21 : 20 | croatia | 0 | 1 | 0 | 1 row 22 : 22 | romania | 0 | 0 | 2 | 2 row 23 : 23 | bulgaria | 0 | 0 | 1 | 1 row 24 : 23 | mexico | 0 | 0 | 1 | 1 row 25 : 23 | serbia and montenegro | 0 | 0 | 1 | 1 row 26 : 23 | south africa | 0 | 0 | 1 | 1 row 27 : 23 | sweden | 0 | 0 | 1 | 1 row 28 : 23 | tunisia | 0 | 0 | 1 | 1 row 29 : total | total | 62 | 65 | 59 | 186
|
table_csv/203_653.csv
| 0 |
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|
[
"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"
],
[
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"China",
"7",
"4",
"8",
"19"
],
[
"5",
"Germany",
"5",
"6",
"5",
"16"
],
[
"6",
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"3",
"3",
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[
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[
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"3",
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[
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"2",
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],
[
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"1",
"5"
],
[
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"0",
"1",
"3"
],
[
"12",
"Hungary",
"1",
"4",
"1",
"6"
],
[
"13",
"Spain",
"1",
"2",
"3",
"6"
],
[
"14",
"Poland",
"1",
"1",
"0",
"2"
],
[
"15",
"France",
"1",
"0",
"2",
"3"
],
[
"16",
"Finland",
"1",
"0",
"1",
"2"
],
[
"17",
"Belarus",
"1",
"0",
"0",
"1"
],
[
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"0",
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[
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[
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[
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],
[
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"Romania",
"0",
"0",
"2",
"2"
],
[
"23",
"Bulgaria",
"0",
"0",
"1",
"1"
],
[
"23",
"Mexico",
"0",
"0",
"1",
"1"
],
[
"23",
"Serbia and Montenegro",
"0",
"0",
"1",
"1"
],
[
"23",
"South Africa",
"0",
"0",
"1",
"1"
],
[
"23",
"Sweden",
"0",
"0",
"1",
"1"
],
[
"23",
"Tunisia",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"62",
"65",
"59",
"186"
]
] |
[
"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 row 8 : 8 | great britain | 2 | 3 | 3 | 8 row 9 : 9 | ukraine | 2 | 3 | 2 | 7 row 10 : 10 | italy | 2 | 2 | 1 | 5 row 11 : 11 | canada | 2 | 0 | 1 | 3 row 12 : 12 | hungary | 1 | 4 | 1 | 6 row 13 : 13 | spain | 1 | 2 | 3 | 6 row 14 : 14 | poland | 1 | 1 | 0 | 2 row 15 : 15 | france | 1 | 0 | 2 | 3 row 16 : 16 | finland | 1 | 0 | 1 | 2 row 17 : 17 | belarus | 1 | 0 | 0 | 1 row 18 : 18 | czech republic | 0 | 2 | 0 | 2 row 19 : 19 | slovakia | 0 | 1 | 1 | 2 row 20 : 20 | denmark | 0 | 1 | 0 | 1 row 21 : 20 | croatia | 0 | 1 | 0 | 1 row 22 : 22 | romania | 0 | 0 | 2 | 2 row 23 : 23 | bulgaria | 0 | 0 | 1 | 1 row 24 : 23 | mexico | 0 | 0 | 1 | 1 row 25 : 23 | serbia and montenegro | 0 | 0 | 1 | 1 row 26 : 23 | south africa | 0 | 0 | 1 | 1 row 27 : 23 | sweden | 0 | 0 | 1 | 1 row 28 : 23 | tunisia | 0 | 0 | 1 | 1 row 29 : total | total | 62 | 65 | 59 | 186
|
table_csv/203_653.csv
| 1 |
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|
[
"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",
"5",
"6",
"5",
"16"
],
[
"6",
"Japan",
"3",
"3",
"3",
"9"
],
[
"7",
"Netherlands",
"3",
"2",
"2",
"7"
],
[
"8",
"Great Britain",
"2",
"3",
"3",
"8"
],
[
"9",
"Ukraine",
"2",
"3",
"2",
"7"
],
[
"10",
"Italy",
"2",
"2",
"1",
"5"
],
[
"11",
"Canada",
"2",
"0",
"1",
"3"
],
[
"12",
"Hungary",
"1",
"4",
"1",
"6"
],
[
"13",
"Spain",
"1",
"2",
"3",
"6"
],
[
"14",
"Poland",
"1",
"1",
"0",
"2"
],
[
"15",
"France",
"1",
"0",
"2",
"3"
],
[
"16",
"Finland",
"1",
"0",
"1",
"2"
],
[
"17",
"Belarus",
"1",
"0",
"0",
"1"
],
[
"18",
"Czech Republic",
"0",
"2",
"0",
"2"
],
[
"19",
"Slovakia",
"0",
"1",
"1",
"2"
],
[
"20",
"Denmark",
"0",
"1",
"0",
"1"
],
[
"20",
"Croatia",
"0",
"1",
"0",
"1"
],
[
"22",
"Romania",
"0",
"0",
"2",
"2"
],
[
"23",
"Bulgaria",
"0",
"0",
"1",
"1"
],
[
"23",
"Mexico",
"0",
"0",
"1",
"1"
],
[
"23",
"Serbia and Montenegro",
"0",
"0",
"1",
"1"
],
[
"23",
"South Africa",
"0",
"0",
"1",
"1"
],
[
"23",
"Sweden",
"0",
"0",
"1",
"1"
],
[
"23",
"Tunisia",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"62",
"65",
"59",
"186"
]
] |
[
"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 row 8 : 8 | great britain | 2 | 3 | 3 | 8 row 9 : 9 | ukraine | 2 | 3 | 2 | 7 row 10 : 10 | italy | 2 | 2 | 1 | 5 row 11 : 11 | canada | 2 | 0 | 1 | 3 row 12 : 12 | hungary | 1 | 4 | 1 | 6 row 13 : 13 | spain | 1 | 2 | 3 | 6 row 14 : 14 | poland | 1 | 1 | 0 | 2 row 15 : 15 | france | 1 | 0 | 2 | 3 row 16 : 16 | finland | 1 | 0 | 1 | 2 row 17 : 17 | belarus | 1 | 0 | 0 | 1 row 18 : 18 | czech republic | 0 | 2 | 0 | 2 row 19 : 19 | slovakia | 0 | 1 | 1 | 2 row 20 : 20 | denmark | 0 | 1 | 0 | 1 row 21 : 20 | croatia | 0 | 1 | 0 | 1 row 22 : 22 | romania | 0 | 0 | 2 | 2 row 23 : 23 | bulgaria | 0 | 0 | 1 | 1 row 24 : 23 | mexico | 0 | 0 | 1 | 1 row 25 : 23 | serbia and montenegro | 0 | 0 | 1 | 1 row 26 : 23 | south africa | 0 | 0 | 1 | 1 row 27 : 23 | sweden | 0 | 0 | 1 | 1 row 28 : 23 | tunisia | 0 | 0 | 1 | 1 row 29 : total | total | 62 | 65 | 59 | 186
|
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",
"5",
"6",
"5",
"16"
],
[
"6",
"Japan",
"3",
"3",
"3",
"9"
],
[
"7",
"Netherlands",
"3",
"2",
"2",
"7"
],
[
"8",
"Great Britain",
"2",
"3",
"3",
"8"
],
[
"9",
"Ukraine",
"2",
"3",
"2",
"7"
],
[
"10",
"Italy",
"2",
"2",
"1",
"5"
],
[
"11",
"Canada",
"2",
"0",
"1",
"3"
],
[
"12",
"Hungary",
"1",
"4",
"1",
"6"
],
[
"13",
"Spain",
"1",
"2",
"3",
"6"
],
[
"14",
"Poland",
"1",
"1",
"0",
"2"
],
[
"15",
"France",
"1",
"0",
"2",
"3"
],
[
"16",
"Finland",
"1",
"0",
"1",
"2"
],
[
"17",
"Belarus",
"1",
"0",
"0",
"1"
],
[
"18",
"Czech Republic",
"0",
"2",
"0",
"2"
],
[
"19",
"Slovakia",
"0",
"1",
"1",
"2"
],
[
"20",
"Denmark",
"0",
"1",
"0",
"1"
],
[
"20",
"Croatia",
"0",
"1",
"0",
"1"
],
[
"22",
"Romania",
"0",
"0",
"2",
"2"
],
[
"23",
"Bulgaria",
"0",
"0",
"1",
"1"
],
[
"23",
"Mexico",
"0",
"0",
"1",
"1"
],
[
"23",
"Serbia and Montenegro",
"0",
"0",
"1",
"1"
],
[
"23",
"South Africa",
"0",
"0",
"1",
"1"
],
[
"23",
"Sweden",
"0",
"0",
"1",
"1"
],
[
"23",
"Tunisia",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"62",
"65",
"59",
"186"
]
] |
[
"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 row 8 : 8 | great britain | 2 | 3 | 3 | 8 row 9 : 9 | ukraine | 2 | 3 | 2 | 7 row 10 : 10 | italy | 2 | 2 | 1 | 5 row 11 : 11 | canada | 2 | 0 | 1 | 3 row 12 : 12 | hungary | 1 | 4 | 1 | 6 row 13 : 13 | spain | 1 | 2 | 3 | 6 row 14 : 14 | poland | 1 | 1 | 0 | 2 row 15 : 15 | france | 1 | 0 | 2 | 3 row 16 : 16 | finland | 1 | 0 | 1 | 2 row 17 : 17 | belarus | 1 | 0 | 0 | 1 row 18 : 18 | czech republic | 0 | 2 | 0 | 2 row 19 : 19 | slovakia | 0 | 1 | 1 | 2 row 20 : 20 | denmark | 0 | 1 | 0 | 1 row 21 : 20 | croatia | 0 | 1 | 0 | 1 row 22 : 22 | romania | 0 | 0 | 2 | 2 row 23 : 23 | bulgaria | 0 | 0 | 1 | 1 row 24 : 23 | mexico | 0 | 0 | 1 | 1 row 25 : 23 | serbia and montenegro | 0 | 0 | 1 | 1 row 26 : 23 | south africa | 0 | 0 | 1 | 1 row 27 : 23 | sweden | 0 | 0 | 1 | 1 row 28 : 23 | tunisia | 0 | 0 | 1 | 1 row 29 : total | total | 62 | 65 | 59 | 186
|
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",
"5",
"6",
"5",
"16"
],
[
"6",
"Japan",
"3",
"3",
"3",
"9"
],
[
"7",
"Netherlands",
"3",
"2",
"2",
"7"
],
[
"8",
"Great Britain",
"2",
"3",
"3",
"8"
],
[
"9",
"Ukraine",
"2",
"3",
"2",
"7"
],
[
"10",
"Italy",
"2",
"2",
"1",
"5"
],
[
"11",
"Canada",
"2",
"0",
"1",
"3"
],
[
"12",
"Hungary",
"1",
"4",
"1",
"6"
],
[
"13",
"Spain",
"1",
"2",
"3",
"6"
],
[
"14",
"Poland",
"1",
"1",
"0",
"2"
],
[
"15",
"France",
"1",
"0",
"2",
"3"
],
[
"16",
"Finland",
"1",
"0",
"1",
"2"
],
[
"17",
"Belarus",
"1",
"0",
"0",
"1"
],
[
"18",
"Czech Republic",
"0",
"2",
"0",
"2"
],
[
"19",
"Slovakia",
"0",
"1",
"1",
"2"
],
[
"20",
"Denmark",
"0",
"1",
"0",
"1"
],
[
"20",
"Croatia",
"0",
"1",
"0",
"1"
],
[
"22",
"Romania",
"0",
"0",
"2",
"2"
],
[
"23",
"Bulgaria",
"0",
"0",
"1",
"1"
],
[
"23",
"Mexico",
"0",
"0",
"1",
"1"
],
[
"23",
"Serbia and Montenegro",
"0",
"0",
"1",
"1"
],
[
"23",
"South Africa",
"0",
"0",
"1",
"1"
],
[
"23",
"Sweden",
"0",
"0",
"1",
"1"
],
[
"23",
"Tunisia",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"62",
"65",
"59",
"186"
]
] |
[
"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 row 8 : 8 | great britain | 2 | 3 | 3 | 8 row 9 : 9 | ukraine | 2 | 3 | 2 | 7 row 10 : 10 | italy | 2 | 2 | 1 | 5 row 11 : 11 | canada | 2 | 0 | 1 | 3 row 12 : 12 | hungary | 1 | 4 | 1 | 6 row 13 : 13 | spain | 1 | 2 | 3 | 6 row 14 : 14 | poland | 1 | 1 | 0 | 2 row 15 : 15 | france | 1 | 0 | 2 | 3 row 16 : 16 | finland | 1 | 0 | 1 | 2 row 17 : 17 | belarus | 1 | 0 | 0 | 1 row 18 : 18 | czech republic | 0 | 2 | 0 | 2 row 19 : 19 | slovakia | 0 | 1 | 1 | 2 row 20 : 20 | denmark | 0 | 1 | 0 | 1 row 21 : 20 | croatia | 0 | 1 | 0 | 1 row 22 : 22 | romania | 0 | 0 | 2 | 2 row 23 : 23 | bulgaria | 0 | 0 | 1 | 1 row 24 : 23 | mexico | 0 | 0 | 1 | 1 row 25 : 23 | serbia and montenegro | 0 | 0 | 1 | 1 row 26 : 23 | south africa | 0 | 0 | 1 | 1 row 27 : 23 | sweden | 0 | 0 | 1 | 1 row 28 : 23 | tunisia | 0 | 0 | 1 | 1 row 29 : total | total | 62 | 65 | 59 | 186
|
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",
"6",
"5",
"16"
],
[
"6",
"Japan",
"3",
"3",
"3",
"9"
],
[
"7",
"Netherlands",
"3",
"2",
"2",
"7"
],
[
"8",
"Great Britain",
"2",
"3",
"3",
"8"
],
[
"9",
"Ukraine",
"2",
"3",
"2",
"7"
],
[
"10",
"Italy",
"2",
"2",
"1",
"5"
],
[
"11",
"Canada",
"2",
"0",
"1",
"3"
],
[
"12",
"Hungary",
"1",
"4",
"1",
"6"
],
[
"13",
"Spain",
"1",
"2",
"3",
"6"
],
[
"14",
"Poland",
"1",
"1",
"0",
"2"
],
[
"15",
"France",
"1",
"0",
"2",
"3"
],
[
"16",
"Finland",
"1",
"0",
"1",
"2"
],
[
"17",
"Belarus",
"1",
"0",
"0",
"1"
],
[
"18",
"Czech Republic",
"0",
"2",
"0",
"2"
],
[
"19",
"Slovakia",
"0",
"1",
"1",
"2"
],
[
"20",
"Denmark",
"0",
"1",
"0",
"1"
],
[
"20",
"Croatia",
"0",
"1",
"0",
"1"
],
[
"22",
"Romania",
"0",
"0",
"2",
"2"
],
[
"23",
"Bulgaria",
"0",
"0",
"1",
"1"
],
[
"23",
"Mexico",
"0",
"0",
"1",
"1"
],
[
"23",
"Serbia and Montenegro",
"0",
"0",
"1",
"1"
],
[
"23",
"South Africa",
"0",
"0",
"1",
"1"
],
[
"23",
"Sweden",
"0",
"0",
"1",
"1"
],
[
"23",
"Tunisia",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"62",
"65",
"59",
"186"
]
] |
[
"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 row 8 : 8 | great britain | 2 | 3 | 3 | 8 row 9 : 9 | ukraine | 2 | 3 | 2 | 7 row 10 : 10 | italy | 2 | 2 | 1 | 5 row 11 : 11 | canada | 2 | 0 | 1 | 3 row 12 : 12 | hungary | 1 | 4 | 1 | 6 row 13 : 13 | spain | 1 | 2 | 3 | 6 row 14 : 14 | poland | 1 | 1 | 0 | 2 row 15 : 15 | france | 1 | 0 | 2 | 3 row 16 : 16 | finland | 1 | 0 | 1 | 2 row 17 : 17 | belarus | 1 | 0 | 0 | 1 row 18 : 18 | czech republic | 0 | 2 | 0 | 2 row 19 : 19 | slovakia | 0 | 1 | 1 | 2 row 20 : 20 | denmark | 0 | 1 | 0 | 1 row 21 : 20 | croatia | 0 | 1 | 0 | 1 row 22 : 22 | romania | 0 | 0 | 2 | 2 row 23 : 23 | bulgaria | 0 | 0 | 1 | 1 row 24 : 23 | mexico | 0 | 0 | 1 | 1 row 25 : 23 | serbia and montenegro | 0 | 0 | 1 | 1 row 26 : 23 | south africa | 0 | 0 | 1 | 1 row 27 : 23 | sweden | 0 | 0 | 1 | 1 row 28 : 23 | tunisia | 0 | 0 | 1 | 1 row 29 : total | total | 62 | 65 | 59 | 186
|
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",
"5",
"6",
"5",
"16"
],
[
"6",
"Japan",
"3",
"3",
"3",
"9"
],
[
"7",
"Netherlands",
"3",
"2",
"2",
"7"
],
[
"8",
"Great Britain",
"2",
"3",
"3",
"8"
],
[
"9",
"Ukraine",
"2",
"3",
"2",
"7"
],
[
"10",
"Italy",
"2",
"2",
"1",
"5"
],
[
"11",
"Canada",
"2",
"0",
"1",
"3"
],
[
"12",
"Hungary",
"1",
"4",
"1",
"6"
],
[
"13",
"Spain",
"1",
"2",
"3",
"6"
],
[
"14",
"Poland",
"1",
"1",
"0",
"2"
],
[
"15",
"France",
"1",
"0",
"2",
"3"
],
[
"16",
"Finland",
"1",
"0",
"1",
"2"
],
[
"17",
"Belarus",
"1",
"0",
"0",
"1"
],
[
"18",
"Czech Republic",
"0",
"2",
"0",
"2"
],
[
"19",
"Slovakia",
"0",
"1",
"1",
"2"
],
[
"20",
"Denmark",
"0",
"1",
"0",
"1"
],
[
"20",
"Croatia",
"0",
"1",
"0",
"1"
],
[
"22",
"Romania",
"0",
"0",
"2",
"2"
],
[
"23",
"Bulgaria",
"0",
"0",
"1",
"1"
],
[
"23",
"Mexico",
"0",
"0",
"1",
"1"
],
[
"23",
"Serbia and Montenegro",
"0",
"0",
"1",
"1"
],
[
"23",
"South Africa",
"0",
"0",
"1",
"1"
],
[
"23",
"Sweden",
"0",
"0",
"1",
"1"
],
[
"23",
"Tunisia",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"62",
"65",
"59",
"186"
]
] |
[
"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 : cinderford town | the causeway | 3,500 | 250 row 7 : tiverton town | ladysmead | 3,500 | 520 row 8 : wimborne town | cuthbury | 3,250 | 275 row 9 : didcot town | npower loop meadow stadium | 3,000 | 150 row 10 : swindon supermarine | the webb's wood stadium | 3,000 | nan row 11 : bridgwater town | fairfax park | 2,500 | 128 row 12 : hungerford town | bulpit lane | 2,500 | 170 row 13 : mangotsfield united | cossham street | 2,500 | 300 row 14 : taunton town | wordsworth drive | 2,500 | 300 row 15 : abingdon united | northcourt road | 2,000 | 158 row 16 : poole town | tatnam | 2,000 | 154 row 17 : north leigh | eynsham hall park sports ground | 2,000 | 100 row 18 : yate town | lodge road | 2,000 | 236 row 19 : bishop's cleeve | kayte lane | 1,500 | 50 row 20 : sholing | vt group sports ground | 1,000 | 150 row 21 : shortwood united | the meadowbank ground | tbc | nan row 22 : cirencester town | corinium stadium | tbc | nan
|
table_csv/204_750.csv
| 0 |
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}
|
[
"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 united, cirencester town
|
[
"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"
],
[
"Clevedon Town",
"Hand Stadium",
"3,500",
"300"
],
[
"Cinderford Town",
"The Causeway",
"3,500",
"250"
],
[
"Tiverton Town",
"Ladysmead",
"3,500",
"520"
],
[
"Wimborne Town",
"Cuthbury",
"3,250",
"275"
],
[
"Didcot Town",
"NPower Loop Meadow Stadium",
"3,000",
"150"
],
[
"Swindon Supermarine",
"The Webb's Wood Stadium",
"3,000",
"nan"
],
[
"Bridgwater Town",
"Fairfax Park",
"2,500",
"128"
],
[
"Hungerford Town",
"Bulpit Lane",
"2,500",
"170"
],
[
"Mangotsfield United",
"Cossham Street",
"2,500",
"300"
],
[
"Taunton Town",
"Wordsworth Drive",
"2,500",
"300"
],
[
"Abingdon United",
"Northcourt Road",
"2,000",
"158"
],
[
"Poole Town",
"Tatnam",
"2,000",
"154"
],
[
"North Leigh",
"Eynsham Hall Park Sports Ground",
"2,000",
"100"
],
[
"Yate Town",
"Lodge Road",
"2,000",
"236"
],
[
"Bishop's Cleeve",
"Kayte Lane",
"1,500",
"50"
],
[
"Sholing",
"VT Group Sports Ground",
"1,000",
"150"
],
[
"Shortwood United",
"The Meadowbank Ground",
"TBC",
"nan"
],
[
"Cirencester Town",
"Corinium Stadium",
"TBC",
"nan"
]
] |
[
"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 United",
"Cirencester 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 : cinderford town | the causeway | 3,500 | 250 row 7 : tiverton town | ladysmead | 3,500 | 520 row 8 : wimborne town | cuthbury | 3,250 | 275 row 9 : didcot town | npower loop meadow stadium | 3,000 | 150 row 10 : swindon supermarine | the webb's wood stadium | 3,000 | nan row 11 : bridgwater town | fairfax park | 2,500 | 128 row 12 : hungerford town | bulpit lane | 2,500 | 170 row 13 : mangotsfield united | cossham street | 2,500 | 300 row 14 : taunton town | wordsworth drive | 2,500 | 300 row 15 : abingdon united | northcourt road | 2,000 | 158 row 16 : poole town | tatnam | 2,000 | 154 row 17 : north leigh | eynsham hall park sports ground | 2,000 | 100 row 18 : yate town | lodge road | 2,000 | 236 row 19 : bishop's cleeve | kayte lane | 1,500 | 50 row 20 : sholing | vt group sports ground | 1,000 | 150 row 21 : shortwood united | the meadowbank ground | tbc | nan row 22 : cirencester town | corinium stadium | tbc | nan
|
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"
],
[
"Clevedon Town",
"Hand Stadium",
"3,500",
"300"
],
[
"Cinderford Town",
"The Causeway",
"3,500",
"250"
],
[
"Tiverton Town",
"Ladysmead",
"3,500",
"520"
],
[
"Wimborne Town",
"Cuthbury",
"3,250",
"275"
],
[
"Didcot Town",
"NPower Loop Meadow Stadium",
"3,000",
"150"
],
[
"Swindon Supermarine",
"The Webb's Wood Stadium",
"3,000",
"nan"
],
[
"Bridgwater Town",
"Fairfax Park",
"2,500",
"128"
],
[
"Hungerford Town",
"Bulpit Lane",
"2,500",
"170"
],
[
"Mangotsfield United",
"Cossham Street",
"2,500",
"300"
],
[
"Taunton Town",
"Wordsworth Drive",
"2,500",
"300"
],
[
"Abingdon United",
"Northcourt Road",
"2,000",
"158"
],
[
"Poole Town",
"Tatnam",
"2,000",
"154"
],
[
"North Leigh",
"Eynsham Hall Park Sports Ground",
"2,000",
"100"
],
[
"Yate Town",
"Lodge Road",
"2,000",
"236"
],
[
"Bishop's Cleeve",
"Kayte Lane",
"1,500",
"50"
],
[
"Sholing",
"VT Group Sports Ground",
"1,000",
"150"
],
[
"Shortwood United",
"The Meadowbank Ground",
"TBC",
"nan"
],
[
"Cirencester Town",
"Corinium Stadium",
"TBC",
"nan"
]
] |
[
"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 : cinderford town | the causeway | 3,500 | 250 row 7 : tiverton town | ladysmead | 3,500 | 520 row 8 : wimborne town | cuthbury | 3,250 | 275 row 9 : didcot town | npower loop meadow stadium | 3,000 | 150 row 10 : swindon supermarine | the webb's wood stadium | 3,000 | nan row 11 : bridgwater town | fairfax park | 2,500 | 128 row 12 : hungerford town | bulpit lane | 2,500 | 170 row 13 : mangotsfield united | cossham street | 2,500 | 300 row 14 : taunton town | wordsworth drive | 2,500 | 300 row 15 : abingdon united | northcourt road | 2,000 | 158 row 16 : poole town | tatnam | 2,000 | 154 row 17 : north leigh | eynsham hall park sports ground | 2,000 | 100 row 18 : yate town | lodge road | 2,000 | 236 row 19 : bishop's cleeve | kayte lane | 1,500 | 50 row 20 : sholing | vt group sports ground | 1,000 | 150 row 21 : shortwood united | the meadowbank ground | tbc | nan row 22 : cirencester town | corinium stadium | tbc | nan
|
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"
],
[
"Clevedon Town",
"Hand Stadium",
"3,500",
"300"
],
[
"Cinderford Town",
"The Causeway",
"3,500",
"250"
],
[
"Tiverton Town",
"Ladysmead",
"3,500",
"520"
],
[
"Wimborne Town",
"Cuthbury",
"3,250",
"275"
],
[
"Didcot Town",
"NPower Loop Meadow Stadium",
"3,000",
"150"
],
[
"Swindon Supermarine",
"The Webb's Wood Stadium",
"3,000",
"nan"
],
[
"Bridgwater Town",
"Fairfax Park",
"2,500",
"128"
],
[
"Hungerford Town",
"Bulpit Lane",
"2,500",
"170"
],
[
"Mangotsfield United",
"Cossham Street",
"2,500",
"300"
],
[
"Taunton Town",
"Wordsworth Drive",
"2,500",
"300"
],
[
"Abingdon United",
"Northcourt Road",
"2,000",
"158"
],
[
"Poole Town",
"Tatnam",
"2,000",
"154"
],
[
"North Leigh",
"Eynsham Hall Park Sports Ground",
"2,000",
"100"
],
[
"Yate Town",
"Lodge Road",
"2,000",
"236"
],
[
"Bishop's Cleeve",
"Kayte Lane",
"1,500",
"50"
],
[
"Sholing",
"VT Group Sports Ground",
"1,000",
"150"
],
[
"Shortwood United",
"The Meadowbank Ground",
"TBC",
"nan"
],
[
"Cirencester Town",
"Corinium Stadium",
"TBC",
"nan"
]
] |
[
"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 : cinderford town | the causeway | 3,500 | 250 row 7 : tiverton town | ladysmead | 3,500 | 520 row 8 : wimborne town | cuthbury | 3,250 | 275 row 9 : didcot town | npower loop meadow stadium | 3,000 | 150 row 10 : swindon supermarine | the webb's wood stadium | 3,000 | nan row 11 : bridgwater town | fairfax park | 2,500 | 128 row 12 : hungerford town | bulpit lane | 2,500 | 170 row 13 : mangotsfield united | cossham street | 2,500 | 300 row 14 : taunton town | wordsworth drive | 2,500 | 300 row 15 : abingdon united | northcourt road | 2,000 | 158 row 16 : poole town | tatnam | 2,000 | 154 row 17 : north leigh | eynsham hall park sports ground | 2,000 | 100 row 18 : yate town | lodge road | 2,000 | 236 row 19 : bishop's cleeve | kayte lane | 1,500 | 50 row 20 : sholing | vt group sports ground | 1,000 | 150 row 21 : shortwood united | the meadowbank ground | tbc | nan row 22 : cirencester town | corinium stadium | tbc | nan
|
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"
],
[
"Clevedon Town",
"Hand Stadium",
"3,500",
"300"
],
[
"Cinderford Town",
"The Causeway",
"3,500",
"250"
],
[
"Tiverton Town",
"Ladysmead",
"3,500",
"520"
],
[
"Wimborne Town",
"Cuthbury",
"3,250",
"275"
],
[
"Didcot Town",
"NPower Loop Meadow Stadium",
"3,000",
"150"
],
[
"Swindon Supermarine",
"The Webb's Wood Stadium",
"3,000",
"nan"
],
[
"Bridgwater Town",
"Fairfax Park",
"2,500",
"128"
],
[
"Hungerford Town",
"Bulpit Lane",
"2,500",
"170"
],
[
"Mangotsfield United",
"Cossham Street",
"2,500",
"300"
],
[
"Taunton Town",
"Wordsworth Drive",
"2,500",
"300"
],
[
"Abingdon United",
"Northcourt Road",
"2,000",
"158"
],
[
"Poole Town",
"Tatnam",
"2,000",
"154"
],
[
"North Leigh",
"Eynsham Hall Park Sports Ground",
"2,000",
"100"
],
[
"Yate Town",
"Lodge Road",
"2,000",
"236"
],
[
"Bishop's Cleeve",
"Kayte Lane",
"1,500",
"50"
],
[
"Sholing",
"VT Group Sports Ground",
"1,000",
"150"
],
[
"Shortwood United",
"The Meadowbank Ground",
"TBC",
"nan"
],
[
"Cirencester Town",
"Corinium Stadium",
"TBC",
"nan"
]
] |
[
"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 : cinderford town | the causeway | 3,500 | 250 row 7 : tiverton town | ladysmead | 3,500 | 520 row 8 : wimborne town | cuthbury | 3,250 | 275 row 9 : didcot town | npower loop meadow stadium | 3,000 | 150 row 10 : swindon supermarine | the webb's wood stadium | 3,000 | nan row 11 : bridgwater town | fairfax park | 2,500 | 128 row 12 : hungerford town | bulpit lane | 2,500 | 170 row 13 : mangotsfield united | cossham street | 2,500 | 300 row 14 : taunton town | wordsworth drive | 2,500 | 300 row 15 : abingdon united | northcourt road | 2,000 | 158 row 16 : poole town | tatnam | 2,000 | 154 row 17 : north leigh | eynsham hall park sports ground | 2,000 | 100 row 18 : yate town | lodge road | 2,000 | 236 row 19 : bishop's cleeve | kayte lane | 1,500 | 50 row 20 : sholing | vt group sports ground | 1,000 | 150 row 21 : shortwood united | the meadowbank ground | tbc | nan row 22 : cirencester town | corinium stadium | tbc | nan
|
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"
],
[
"Clevedon Town",
"Hand Stadium",
"3,500",
"300"
],
[
"Cinderford Town",
"The Causeway",
"3,500",
"250"
],
[
"Tiverton Town",
"Ladysmead",
"3,500",
"520"
],
[
"Wimborne Town",
"Cuthbury",
"3,250",
"275"
],
[
"Didcot Town",
"NPower Loop Meadow Stadium",
"3,000",
"150"
],
[
"Swindon Supermarine",
"The Webb's Wood Stadium",
"3,000",
"nan"
],
[
"Bridgwater Town",
"Fairfax Park",
"2,500",
"128"
],
[
"Hungerford Town",
"Bulpit Lane",
"2,500",
"170"
],
[
"Mangotsfield United",
"Cossham Street",
"2,500",
"300"
],
[
"Taunton Town",
"Wordsworth Drive",
"2,500",
"300"
],
[
"Abingdon United",
"Northcourt Road",
"2,000",
"158"
],
[
"Poole Town",
"Tatnam",
"2,000",
"154"
],
[
"North Leigh",
"Eynsham Hall Park Sports Ground",
"2,000",
"100"
],
[
"Yate Town",
"Lodge Road",
"2,000",
"236"
],
[
"Bishop's Cleeve",
"Kayte Lane",
"1,500",
"50"
],
[
"Sholing",
"VT Group Sports Ground",
"1,000",
"150"
],
[
"Shortwood United",
"The Meadowbank Ground",
"TBC",
"nan"
],
[
"Cirencester Town",
"Corinium Stadium",
"TBC",
"nan"
]
] |
[
"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 : cinderford town | the causeway | 3,500 | 250 row 7 : tiverton town | ladysmead | 3,500 | 520 row 8 : wimborne town | cuthbury | 3,250 | 275 row 9 : didcot town | npower loop meadow stadium | 3,000 | 150 row 10 : swindon supermarine | the webb's wood stadium | 3,000 | nan row 11 : bridgwater town | fairfax park | 2,500 | 128 row 12 : hungerford town | bulpit lane | 2,500 | 170 row 13 : mangotsfield united | cossham street | 2,500 | 300 row 14 : taunton town | wordsworth drive | 2,500 | 300 row 15 : abingdon united | northcourt road | 2,000 | 158 row 16 : poole town | tatnam | 2,000 | 154 row 17 : north leigh | eynsham hall park sports ground | 2,000 | 100 row 18 : yate town | lodge road | 2,000 | 236 row 19 : bishop's cleeve | kayte lane | 1,500 | 50 row 20 : sholing | vt group sports ground | 1,000 | 150 row 21 : shortwood united | the meadowbank ground | tbc | nan row 22 : cirencester town | corinium stadium | tbc | nan
|
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"
],
[
"Clevedon Town",
"Hand Stadium",
"3,500",
"300"
],
[
"Cinderford Town",
"The Causeway",
"3,500",
"250"
],
[
"Tiverton Town",
"Ladysmead",
"3,500",
"520"
],
[
"Wimborne Town",
"Cuthbury",
"3,250",
"275"
],
[
"Didcot Town",
"NPower Loop Meadow Stadium",
"3,000",
"150"
],
[
"Swindon Supermarine",
"The Webb's Wood Stadium",
"3,000",
"nan"
],
[
"Bridgwater Town",
"Fairfax Park",
"2,500",
"128"
],
[
"Hungerford Town",
"Bulpit Lane",
"2,500",
"170"
],
[
"Mangotsfield United",
"Cossham Street",
"2,500",
"300"
],
[
"Taunton Town",
"Wordsworth Drive",
"2,500",
"300"
],
[
"Abingdon United",
"Northcourt Road",
"2,000",
"158"
],
[
"Poole Town",
"Tatnam",
"2,000",
"154"
],
[
"North Leigh",
"Eynsham Hall Park Sports Ground",
"2,000",
"100"
],
[
"Yate Town",
"Lodge Road",
"2,000",
"236"
],
[
"Bishop's Cleeve",
"Kayte Lane",
"1,500",
"50"
],
[
"Sholing",
"VT Group Sports Ground",
"1,000",
"150"
],
[
"Shortwood United",
"The Meadowbank Ground",
"TBC",
"nan"
],
[
"Cirencester Town",
"Corinium Stadium",
"TBC",
"nan"
]
] |
[
"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 : cinderford town | the causeway | 3,500 | 250 row 7 : tiverton town | ladysmead | 3,500 | 520 row 8 : wimborne town | cuthbury | 3,250 | 275 row 9 : didcot town | npower loop meadow stadium | 3,000 | 150 row 10 : swindon supermarine | the webb's wood stadium | 3,000 | nan row 11 : bridgwater town | fairfax park | 2,500 | 128 row 12 : hungerford town | bulpit lane | 2,500 | 170 row 13 : mangotsfield united | cossham street | 2,500 | 300 row 14 : taunton town | wordsworth drive | 2,500 | 300 row 15 : abingdon united | northcourt road | 2,000 | 158 row 16 : poole town | tatnam | 2,000 | 154 row 17 : north leigh | eynsham hall park sports ground | 2,000 | 100 row 18 : yate town | lodge road | 2,000 | 236 row 19 : bishop's cleeve | kayte lane | 1,500 | 50 row 20 : sholing | vt group sports ground | 1,000 | 150 row 21 : shortwood united | the meadowbank ground | tbc | nan row 22 : cirencester town | corinium stadium | tbc | nan
|
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]
}
|
[
"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 united, cirencester town
|
[
"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"
],
[
"Clevedon Town",
"Hand Stadium",
"3,500",
"300"
],
[
"Cinderford Town",
"The Causeway",
"3,500",
"250"
],
[
"Tiverton Town",
"Ladysmead",
"3,500",
"520"
],
[
"Wimborne Town",
"Cuthbury",
"3,250",
"275"
],
[
"Didcot Town",
"NPower Loop Meadow Stadium",
"3,000",
"150"
],
[
"Swindon Supermarine",
"The Webb's Wood Stadium",
"3,000",
"nan"
],
[
"Bridgwater Town",
"Fairfax Park",
"2,500",
"128"
],
[
"Hungerford Town",
"Bulpit Lane",
"2,500",
"170"
],
[
"Mangotsfield United",
"Cossham Street",
"2,500",
"300"
],
[
"Taunton Town",
"Wordsworth Drive",
"2,500",
"300"
],
[
"Abingdon United",
"Northcourt Road",
"2,000",
"158"
],
[
"Poole Town",
"Tatnam",
"2,000",
"154"
],
[
"North Leigh",
"Eynsham Hall Park Sports Ground",
"2,000",
"100"
],
[
"Yate Town",
"Lodge Road",
"2,000",
"236"
],
[
"Bishop's Cleeve",
"Kayte Lane",
"1,500",
"50"
],
[
"Sholing",
"VT Group Sports Ground",
"1,000",
"150"
],
[
"Shortwood United",
"The Meadowbank Ground",
"TBC",
"nan"
],
[
"Cirencester Town",
"Corinium Stadium",
"TBC",
"nan"
]
] |
[
"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 United",
"Cirencester 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 : cinderford town | the causeway | 3,500 | 250 row 7 : tiverton town | ladysmead | 3,500 | 520 row 8 : wimborne town | cuthbury | 3,250 | 275 row 9 : didcot town | npower loop meadow stadium | 3,000 | 150 row 10 : swindon supermarine | the webb's wood stadium | 3,000 | nan row 11 : bridgwater town | fairfax park | 2,500 | 128 row 12 : hungerford town | bulpit lane | 2,500 | 170 row 13 : mangotsfield united | cossham street | 2,500 | 300 row 14 : taunton town | wordsworth drive | 2,500 | 300 row 15 : abingdon united | northcourt road | 2,000 | 158 row 16 : poole town | tatnam | 2,000 | 154 row 17 : north leigh | eynsham hall park sports ground | 2,000 | 100 row 18 : yate town | lodge road | 2,000 | 236 row 19 : bishop's cleeve | kayte lane | 1,500 | 50 row 20 : sholing | vt group sports ground | 1,000 | 150 row 21 : shortwood united | the meadowbank ground | tbc | nan row 22 : cirencester town | corinium stadium | tbc | nan
|
table_csv/204_750.csv
| 1 |
{
"column_index": [
0,
0,
0,
0,
0,
0
],
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5,
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|
[
"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"
],
[
"Clevedon Town",
"Hand Stadium",
"3,500",
"300"
],
[
"Cinderford Town",
"The Causeway",
"3,500",
"250"
],
[
"Tiverton Town",
"Ladysmead",
"3,500",
"520"
],
[
"Wimborne Town",
"Cuthbury",
"3,250",
"275"
],
[
"Didcot Town",
"NPower Loop Meadow Stadium",
"3,000",
"150"
],
[
"Swindon Supermarine",
"The Webb's Wood Stadium",
"3,000",
"nan"
],
[
"Bridgwater Town",
"Fairfax Park",
"2,500",
"128"
],
[
"Hungerford Town",
"Bulpit Lane",
"2,500",
"170"
],
[
"Mangotsfield United",
"Cossham Street",
"2,500",
"300"
],
[
"Taunton Town",
"Wordsworth Drive",
"2,500",
"300"
],
[
"Abingdon United",
"Northcourt Road",
"2,000",
"158"
],
[
"Poole Town",
"Tatnam",
"2,000",
"154"
],
[
"North Leigh",
"Eynsham Hall Park Sports Ground",
"2,000",
"100"
],
[
"Yate Town",
"Lodge Road",
"2,000",
"236"
],
[
"Bishop's Cleeve",
"Kayte Lane",
"1,500",
"50"
],
[
"Sholing",
"VT Group Sports Ground",
"1,000",
"150"
],
[
"Shortwood United",
"The Meadowbank Ground",
"TBC",
"nan"
],
[
"Cirencester Town",
"Corinium Stadium",
"TBC",
"nan"
]
] |
[
"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 : cinderford town | the causeway | 3,500 | 250 row 7 : tiverton town | ladysmead | 3,500 | 520 row 8 : wimborne town | cuthbury | 3,250 | 275 row 9 : didcot town | npower loop meadow stadium | 3,000 | 150 row 10 : swindon supermarine | the webb's wood stadium | 3,000 | nan row 11 : bridgwater town | fairfax park | 2,500 | 128 row 12 : hungerford town | bulpit lane | 2,500 | 170 row 13 : mangotsfield united | cossham street | 2,500 | 300 row 14 : taunton town | wordsworth drive | 2,500 | 300 row 15 : abingdon united | northcourt road | 2,000 | 158 row 16 : poole town | tatnam | 2,000 | 154 row 17 : north leigh | eynsham hall park sports ground | 2,000 | 100 row 18 : yate town | lodge road | 2,000 | 236 row 19 : bishop's cleeve | kayte lane | 1,500 | 50 row 20 : sholing | vt group sports ground | 1,000 | 150 row 21 : shortwood united | the meadowbank ground | tbc | nan row 22 : cirencester town | corinium stadium | tbc | nan
|
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"
],
[
"Clevedon Town",
"Hand Stadium",
"3,500",
"300"
],
[
"Cinderford Town",
"The Causeway",
"3,500",
"250"
],
[
"Tiverton Town",
"Ladysmead",
"3,500",
"520"
],
[
"Wimborne Town",
"Cuthbury",
"3,250",
"275"
],
[
"Didcot Town",
"NPower Loop Meadow Stadium",
"3,000",
"150"
],
[
"Swindon Supermarine",
"The Webb's Wood Stadium",
"3,000",
"nan"
],
[
"Bridgwater Town",
"Fairfax Park",
"2,500",
"128"
],
[
"Hungerford Town",
"Bulpit Lane",
"2,500",
"170"
],
[
"Mangotsfield United",
"Cossham Street",
"2,500",
"300"
],
[
"Taunton Town",
"Wordsworth Drive",
"2,500",
"300"
],
[
"Abingdon United",
"Northcourt Road",
"2,000",
"158"
],
[
"Poole Town",
"Tatnam",
"2,000",
"154"
],
[
"North Leigh",
"Eynsham Hall Park Sports Ground",
"2,000",
"100"
],
[
"Yate Town",
"Lodge Road",
"2,000",
"236"
],
[
"Bishop's Cleeve",
"Kayte Lane",
"1,500",
"50"
],
[
"Sholing",
"VT Group Sports Ground",
"1,000",
"150"
],
[
"Shortwood United",
"The Meadowbank Ground",
"TBC",
"nan"
],
[
"Cirencester Town",
"Corinium Stadium",
"TBC",
"nan"
]
] |
[
"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 see fire | bruce springsteen | high hopes | bruce springsteen row 5 : 5 | 31 january 2014 | i see fire | avicii | true | avicii row 6 : 6 | 7 february 2014 | i see fire | christer sjogren | sjunger sinatra | christer sjogren row 7 : 7 | 14 february 2014 | i see fire | christer sjogren | sjunger sinatra | christer sjogren row 8 : 8 | 21 february 2014 | i see fire | avicii | true | avicii row 9 : 9 | 28 february 2014 | i see fire | avicii | true | avicii row 10 : 10 | 7 march 2014 | busy doin' nothin' | avicii | true | avicii row 11 : 11 | 14 march 2014 | busy doin' nothin' | avicii | true | avicii row 12 : 12 | 21 march 2014 | busy doin' nothin' | takida | all turns red | takida row 13 : 13 | 28 march 2014 | busy doin' nothin' | yohio | together we stand alone | yohio
|
table_csv/204_333.csv
| 0 |
{
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|
[
"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"
],
[
"4",
"24 January 2014",
"I See Fire",
"Bruce Springsteen",
"High Hopes",
"Bruce Springsteen"
],
[
"5",
"31 January 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"6",
"7 February 2014",
"I See Fire",
"Christer Sjogren",
"Sjunger Sinatra",
"Christer Sjogren"
],
[
"7",
"14 February 2014",
"I See Fire",
"Christer Sjogren",
"Sjunger Sinatra",
"Christer Sjogren"
],
[
"8",
"21 February 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"9",
"28 February 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"10",
"7 March 2014",
"Busy Doin' Nothin'",
"Avicii",
"True",
"Avicii"
],
[
"11",
"14 March 2014",
"Busy Doin' Nothin'",
"Avicii",
"True",
"Avicii"
],
[
"12",
"21 March 2014",
"Busy Doin' Nothin'",
"Takida",
"All Turns Red",
"Takida"
],
[
"13",
"28 March 2014",
"Busy Doin' Nothin'",
"Yohio",
"Together We Stand Alone",
"Yohio"
]
] |
[
"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 see fire | bruce springsteen | high hopes | bruce springsteen row 5 : 5 | 31 january 2014 | i see fire | avicii | true | avicii row 6 : 6 | 7 february 2014 | i see fire | christer sjogren | sjunger sinatra | christer sjogren row 7 : 7 | 14 february 2014 | i see fire | christer sjogren | sjunger sinatra | christer sjogren row 8 : 8 | 21 february 2014 | i see fire | avicii | true | avicii row 9 : 9 | 28 february 2014 | i see fire | avicii | true | avicii row 10 : 10 | 7 march 2014 | busy doin' nothin' | avicii | true | avicii row 11 : 11 | 14 march 2014 | busy doin' nothin' | avicii | true | avicii row 12 : 12 | 21 march 2014 | busy doin' nothin' | takida | all turns red | takida row 13 : 13 | 28 march 2014 | busy doin' nothin' | yohio | together we stand alone | yohio
|
table_csv/204_333.csv
| 1 |
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|
[
"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"
],
[
"4",
"24 January 2014",
"I See Fire",
"Bruce Springsteen",
"High Hopes",
"Bruce Springsteen"
],
[
"5",
"31 January 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"6",
"7 February 2014",
"I See Fire",
"Christer Sjogren",
"Sjunger Sinatra",
"Christer Sjogren"
],
[
"7",
"14 February 2014",
"I See Fire",
"Christer Sjogren",
"Sjunger Sinatra",
"Christer Sjogren"
],
[
"8",
"21 February 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"9",
"28 February 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"10",
"7 March 2014",
"Busy Doin' Nothin'",
"Avicii",
"True",
"Avicii"
],
[
"11",
"14 March 2014",
"Busy Doin' Nothin'",
"Avicii",
"True",
"Avicii"
],
[
"12",
"21 March 2014",
"Busy Doin' Nothin'",
"Takida",
"All Turns Red",
"Takida"
],
[
"13",
"28 March 2014",
"Busy Doin' Nothin'",
"Yohio",
"Together We Stand Alone",
"Yohio"
]
] |
[
"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 see fire | bruce springsteen | high hopes | bruce springsteen row 5 : 5 | 31 january 2014 | i see fire | avicii | true | avicii row 6 : 6 | 7 february 2014 | i see fire | christer sjogren | sjunger sinatra | christer sjogren row 7 : 7 | 14 february 2014 | i see fire | christer sjogren | sjunger sinatra | christer sjogren row 8 : 8 | 21 february 2014 | i see fire | avicii | true | avicii row 9 : 9 | 28 february 2014 | i see fire | avicii | true | avicii row 10 : 10 | 7 march 2014 | busy doin' nothin' | avicii | true | avicii row 11 : 11 | 14 march 2014 | busy doin' nothin' | avicii | true | avicii row 12 : 12 | 21 march 2014 | busy doin' nothin' | takida | all turns red | takida row 13 : 13 | 28 march 2014 | busy doin' nothin' | yohio | together we stand alone | yohio
|
table_csv/204_333.csv
| 2 |
{
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1,
1,
1,
1,
1,
1,
1
],
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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"
],
[
"4",
"24 January 2014",
"I See Fire",
"Bruce Springsteen",
"High Hopes",
"Bruce Springsteen"
],
[
"5",
"31 January 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"6",
"7 February 2014",
"I See Fire",
"Christer Sjogren",
"Sjunger Sinatra",
"Christer Sjogren"
],
[
"7",
"14 February 2014",
"I See Fire",
"Christer Sjogren",
"Sjunger Sinatra",
"Christer Sjogren"
],
[
"8",
"21 February 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"9",
"28 February 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"10",
"7 March 2014",
"Busy Doin' Nothin'",
"Avicii",
"True",
"Avicii"
],
[
"11",
"14 March 2014",
"Busy Doin' Nothin'",
"Avicii",
"True",
"Avicii"
],
[
"12",
"21 March 2014",
"Busy Doin' Nothin'",
"Takida",
"All Turns Red",
"Takida"
],
[
"13",
"28 March 2014",
"Busy Doin' Nothin'",
"Yohio",
"Together We Stand Alone",
"Yohio"
]
] |
[
"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 see fire | bruce springsteen | high hopes | bruce springsteen row 5 : 5 | 31 january 2014 | i see fire | avicii | true | avicii row 6 : 6 | 7 february 2014 | i see fire | christer sjogren | sjunger sinatra | christer sjogren row 7 : 7 | 14 february 2014 | i see fire | christer sjogren | sjunger sinatra | christer sjogren row 8 : 8 | 21 february 2014 | i see fire | avicii | true | avicii row 9 : 9 | 28 february 2014 | i see fire | avicii | true | avicii row 10 : 10 | 7 march 2014 | busy doin' nothin' | avicii | true | avicii row 11 : 11 | 14 march 2014 | busy doin' nothin' | avicii | true | avicii row 12 : 12 | 21 march 2014 | busy doin' nothin' | takida | all turns red | takida row 13 : 13 | 28 march 2014 | busy doin' nothin' | yohio | together we stand alone | yohio
|
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"
],
[
"4",
"24 January 2014",
"I See Fire",
"Bruce Springsteen",
"High Hopes",
"Bruce Springsteen"
],
[
"5",
"31 January 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"6",
"7 February 2014",
"I See Fire",
"Christer Sjogren",
"Sjunger Sinatra",
"Christer Sjogren"
],
[
"7",
"14 February 2014",
"I See Fire",
"Christer Sjogren",
"Sjunger Sinatra",
"Christer Sjogren"
],
[
"8",
"21 February 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"9",
"28 February 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"10",
"7 March 2014",
"Busy Doin' Nothin'",
"Avicii",
"True",
"Avicii"
],
[
"11",
"14 March 2014",
"Busy Doin' Nothin'",
"Avicii",
"True",
"Avicii"
],
[
"12",
"21 March 2014",
"Busy Doin' Nothin'",
"Takida",
"All Turns Red",
"Takida"
],
[
"13",
"28 March 2014",
"Busy Doin' Nothin'",
"Yohio",
"Together We Stand Alone",
"Yohio"
]
] |
[
"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 see fire | bruce springsteen | high hopes | bruce springsteen row 5 : 5 | 31 january 2014 | i see fire | avicii | true | avicii row 6 : 6 | 7 february 2014 | i see fire | christer sjogren | sjunger sinatra | christer sjogren row 7 : 7 | 14 february 2014 | i see fire | christer sjogren | sjunger sinatra | christer sjogren row 8 : 8 | 21 february 2014 | i see fire | avicii | true | avicii row 9 : 9 | 28 february 2014 | i see fire | avicii | true | avicii row 10 : 10 | 7 march 2014 | busy doin' nothin' | avicii | true | avicii row 11 : 11 | 14 march 2014 | busy doin' nothin' | avicii | true | avicii row 12 : 12 | 21 march 2014 | busy doin' nothin' | takida | all turns red | takida row 13 : 13 | 28 march 2014 | busy doin' nothin' | yohio | together we stand alone | yohio
|
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"
],
[
"4",
"24 January 2014",
"I See Fire",
"Bruce Springsteen",
"High Hopes",
"Bruce Springsteen"
],
[
"5",
"31 January 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"6",
"7 February 2014",
"I See Fire",
"Christer Sjogren",
"Sjunger Sinatra",
"Christer Sjogren"
],
[
"7",
"14 February 2014",
"I See Fire",
"Christer Sjogren",
"Sjunger Sinatra",
"Christer Sjogren"
],
[
"8",
"21 February 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"9",
"28 February 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"10",
"7 March 2014",
"Busy Doin' Nothin'",
"Avicii",
"True",
"Avicii"
],
[
"11",
"14 March 2014",
"Busy Doin' Nothin'",
"Avicii",
"True",
"Avicii"
],
[
"12",
"21 March 2014",
"Busy Doin' Nothin'",
"Takida",
"All Turns Red",
"Takida"
],
[
"13",
"28 March 2014",
"Busy Doin' Nothin'",
"Yohio",
"Together We Stand Alone",
"Yohio"
]
] |
[
"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 see fire | bruce springsteen | high hopes | bruce springsteen row 5 : 5 | 31 january 2014 | i see fire | avicii | true | avicii row 6 : 6 | 7 february 2014 | i see fire | christer sjogren | sjunger sinatra | christer sjogren row 7 : 7 | 14 february 2014 | i see fire | christer sjogren | sjunger sinatra | christer sjogren row 8 : 8 | 21 february 2014 | i see fire | avicii | true | avicii row 9 : 9 | 28 february 2014 | i see fire | avicii | true | avicii row 10 : 10 | 7 march 2014 | busy doin' nothin' | avicii | true | avicii row 11 : 11 | 14 march 2014 | busy doin' nothin' | avicii | true | avicii row 12 : 12 | 21 march 2014 | busy doin' nothin' | takida | all turns red | takida row 13 : 13 | 28 march 2014 | busy doin' nothin' | yohio | together we stand alone | yohio
|
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"
],
[
"4",
"24 January 2014",
"I See Fire",
"Bruce Springsteen",
"High Hopes",
"Bruce Springsteen"
],
[
"5",
"31 January 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"6",
"7 February 2014",
"I See Fire",
"Christer Sjogren",
"Sjunger Sinatra",
"Christer Sjogren"
],
[
"7",
"14 February 2014",
"I See Fire",
"Christer Sjogren",
"Sjunger Sinatra",
"Christer Sjogren"
],
[
"8",
"21 February 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"9",
"28 February 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"10",
"7 March 2014",
"Busy Doin' Nothin'",
"Avicii",
"True",
"Avicii"
],
[
"11",
"14 March 2014",
"Busy Doin' Nothin'",
"Avicii",
"True",
"Avicii"
],
[
"12",
"21 March 2014",
"Busy Doin' Nothin'",
"Takida",
"All Turns Red",
"Takida"
],
[
"13",
"28 March 2014",
"Busy Doin' Nothin'",
"Yohio",
"Together We Stand Alone",
"Yohio"
]
] |
[
"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 see fire | bruce springsteen | high hopes | bruce springsteen row 5 : 5 | 31 january 2014 | i see fire | avicii | true | avicii row 6 : 6 | 7 february 2014 | i see fire | christer sjogren | sjunger sinatra | christer sjogren row 7 : 7 | 14 february 2014 | i see fire | christer sjogren | sjunger sinatra | christer sjogren row 8 : 8 | 21 february 2014 | i see fire | avicii | true | avicii row 9 : 9 | 28 february 2014 | i see fire | avicii | true | avicii row 10 : 10 | 7 march 2014 | busy doin' nothin' | avicii | true | avicii row 11 : 11 | 14 march 2014 | busy doin' nothin' | avicii | true | avicii row 12 : 12 | 21 march 2014 | busy doin' nothin' | takida | all turns red | takida row 13 : 13 | 28 march 2014 | busy doin' nothin' | yohio | together we stand alone | yohio
|
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"
],
[
"4",
"24 January 2014",
"I See Fire",
"Bruce Springsteen",
"High Hopes",
"Bruce Springsteen"
],
[
"5",
"31 January 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"6",
"7 February 2014",
"I See Fire",
"Christer Sjogren",
"Sjunger Sinatra",
"Christer Sjogren"
],
[
"7",
"14 February 2014",
"I See Fire",
"Christer Sjogren",
"Sjunger Sinatra",
"Christer Sjogren"
],
[
"8",
"21 February 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"9",
"28 February 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"10",
"7 March 2014",
"Busy Doin' Nothin'",
"Avicii",
"True",
"Avicii"
],
[
"11",
"14 March 2014",
"Busy Doin' Nothin'",
"Avicii",
"True",
"Avicii"
],
[
"12",
"21 March 2014",
"Busy Doin' Nothin'",
"Takida",
"All Turns Red",
"Takida"
],
[
"13",
"28 March 2014",
"Busy Doin' Nothin'",
"Yohio",
"Together We Stand Alone",
"Yohio"
]
] |
[
"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 see fire | bruce springsteen | high hopes | bruce springsteen row 5 : 5 | 31 january 2014 | i see fire | avicii | true | avicii row 6 : 6 | 7 february 2014 | i see fire | christer sjogren | sjunger sinatra | christer sjogren row 7 : 7 | 14 february 2014 | i see fire | christer sjogren | sjunger sinatra | christer sjogren row 8 : 8 | 21 february 2014 | i see fire | avicii | true | avicii row 9 : 9 | 28 february 2014 | i see fire | avicii | true | avicii row 10 : 10 | 7 march 2014 | busy doin' nothin' | avicii | true | avicii row 11 : 11 | 14 march 2014 | busy doin' nothin' | avicii | true | avicii row 12 : 12 | 21 march 2014 | busy doin' nothin' | takida | all turns red | takida row 13 : 13 | 28 march 2014 | busy doin' nothin' | yohio | together we stand alone | yohio
|
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"
],
[
"4",
"24 January 2014",
"I See Fire",
"Bruce Springsteen",
"High Hopes",
"Bruce Springsteen"
],
[
"5",
"31 January 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"6",
"7 February 2014",
"I See Fire",
"Christer Sjogren",
"Sjunger Sinatra",
"Christer Sjogren"
],
[
"7",
"14 February 2014",
"I See Fire",
"Christer Sjogren",
"Sjunger Sinatra",
"Christer Sjogren"
],
[
"8",
"21 February 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"9",
"28 February 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"10",
"7 March 2014",
"Busy Doin' Nothin'",
"Avicii",
"True",
"Avicii"
],
[
"11",
"14 March 2014",
"Busy Doin' Nothin'",
"Avicii",
"True",
"Avicii"
],
[
"12",
"21 March 2014",
"Busy Doin' Nothin'",
"Takida",
"All Turns Red",
"Takida"
],
[
"13",
"28 March 2014",
"Busy Doin' Nothin'",
"Yohio",
"Together We Stand Alone",
"Yohio"
]
] |
[
"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 see fire | bruce springsteen | high hopes | bruce springsteen row 5 : 5 | 31 january 2014 | i see fire | avicii | true | avicii row 6 : 6 | 7 february 2014 | i see fire | christer sjogren | sjunger sinatra | christer sjogren row 7 : 7 | 14 february 2014 | i see fire | christer sjogren | sjunger sinatra | christer sjogren row 8 : 8 | 21 february 2014 | i see fire | avicii | true | avicii row 9 : 9 | 28 february 2014 | i see fire | avicii | true | avicii row 10 : 10 | 7 march 2014 | busy doin' nothin' | avicii | true | avicii row 11 : 11 | 14 march 2014 | busy doin' nothin' | avicii | true | avicii row 12 : 12 | 21 march 2014 | busy doin' nothin' | takida | all turns red | takida row 13 : 13 | 28 march 2014 | busy doin' nothin' | yohio | together we stand alone | yohio
|
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"
],
[
"4",
"24 January 2014",
"I See Fire",
"Bruce Springsteen",
"High Hopes",
"Bruce Springsteen"
],
[
"5",
"31 January 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"6",
"7 February 2014",
"I See Fire",
"Christer Sjogren",
"Sjunger Sinatra",
"Christer Sjogren"
],
[
"7",
"14 February 2014",
"I See Fire",
"Christer Sjogren",
"Sjunger Sinatra",
"Christer Sjogren"
],
[
"8",
"21 February 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"9",
"28 February 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"10",
"7 March 2014",
"Busy Doin' Nothin'",
"Avicii",
"True",
"Avicii"
],
[
"11",
"14 March 2014",
"Busy Doin' Nothin'",
"Avicii",
"True",
"Avicii"
],
[
"12",
"21 March 2014",
"Busy Doin' Nothin'",
"Takida",
"All Turns Red",
"Takida"
],
[
"13",
"28 March 2014",
"Busy Doin' Nothin'",
"Yohio",
"Together We Stand Alone",
"Yohio"
]
] |
[
"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 see fire | bruce springsteen | high hopes | bruce springsteen row 5 : 5 | 31 january 2014 | i see fire | avicii | true | avicii row 6 : 6 | 7 february 2014 | i see fire | christer sjogren | sjunger sinatra | christer sjogren row 7 : 7 | 14 february 2014 | i see fire | christer sjogren | sjunger sinatra | christer sjogren row 8 : 8 | 21 february 2014 | i see fire | avicii | true | avicii row 9 : 9 | 28 february 2014 | i see fire | avicii | true | avicii row 10 : 10 | 7 march 2014 | busy doin' nothin' | avicii | true | avicii row 11 : 11 | 14 march 2014 | busy doin' nothin' | avicii | true | avicii row 12 : 12 | 21 march 2014 | busy doin' nothin' | takida | all turns red | takida row 13 : 13 | 28 march 2014 | busy doin' nothin' | yohio | together we stand alone | yohio
|
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"
],
[
"4",
"24 January 2014",
"I See Fire",
"Bruce Springsteen",
"High Hopes",
"Bruce Springsteen"
],
[
"5",
"31 January 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"6",
"7 February 2014",
"I See Fire",
"Christer Sjogren",
"Sjunger Sinatra",
"Christer Sjogren"
],
[
"7",
"14 February 2014",
"I See Fire",
"Christer Sjogren",
"Sjunger Sinatra",
"Christer Sjogren"
],
[
"8",
"21 February 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"9",
"28 February 2014",
"I See Fire",
"Avicii",
"True",
"Avicii"
],
[
"10",
"7 March 2014",
"Busy Doin' Nothin'",
"Avicii",
"True",
"Avicii"
],
[
"11",
"14 March 2014",
"Busy Doin' Nothin'",
"Avicii",
"True",
"Avicii"
],
[
"12",
"21 March 2014",
"Busy Doin' Nothin'",
"Takida",
"All Turns Red",
"Takida"
],
[
"13",
"28 March 2014",
"Busy Doin' Nothin'",
"Yohio",
"Together We Stand Alone",
"Yohio"
]
] |
[
"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 | 2 strokes | conway farms golf club | lake forest, illinois | 8,000,000 | 1,440,000 row 3 : 2012 | rory mcilroy | northern ireland | 64-68-69-67=268 | -20.0 | 2 strokes | crooked stick golf club | carmel, indiana | 8,000,000 | 1,440,000 row 4 : 2011 | justin rose | england | 63-68-69-71=271 | -13.0 | 2 strokes | cog hill golf & country club | lemont, illinois | 8,000,000 | 1,440,000 row 5 : 2010 | dustin johnson | united states | 68-70-68-69=275 | -9.0 | 1 stroke | cog hill golf & country club | lemont, illinois | 7,500,000 | 1,350,000 row 6 : 2009 | tiger woods (2) | united states | 68-67-62-68=265 | -19.0 | 8 strokes | cog hill golf & country club | lemont, illinois | 7,500,000 | 1,350,000 row 7 : 2008 | camilo villegas | colombia | 65-66-66-68=265 | -15.0 | 2 strokes | bellerive country club | town and country, missouri | 7,000,000 | 1,260,000 row 8 : 2007 | tiger woods | united states | 67-67-65-63=262 | -22.0 | 2 strokes | cog hill golf & country club | lemont, illinois | 7,000,000 | 1,260,000
|
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",
"Lake Forest, Illinois",
"8,000,000",
"1,440,000"
],
[
"2012",
"Rory McIlroy",
"Northern Ireland",
"64-68-69-67=268",
"-20.0",
"2 strokes",
"Crooked Stick Golf Club",
"Carmel, Indiana",
"8,000,000",
"1,440,000"
],
[
"2011",
"Justin Rose",
"England",
"63-68-69-71=271",
"-13.0",
"2 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"8,000,000",
"1,440,000"
],
[
"2010",
"Dustin Johnson",
"United States",
"68-70-68-69=275",
"-9.0",
"1 stroke",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,500,000",
"1,350,000"
],
[
"2009",
"Tiger Woods (2)",
"United States",
"68-67-62-68=265",
"-19.0",
"8 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,500,000",
"1,350,000"
],
[
"2008",
"Camilo Villegas",
"Colombia",
"65-66-66-68=265",
"-15.0",
"2 strokes",
"Bellerive Country Club",
"Town and Country, Missouri",
"7,000,000",
"1,260,000"
],
[
"2007",
"Tiger Woods",
"United States",
"67-67-65-63=262",
"-22.0",
"2 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,000,000",
"1,260,000"
]
] |
[
"",
"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 | 2 strokes | conway farms golf club | lake forest, illinois | 8,000,000 | 1,440,000 row 3 : 2012 | rory mcilroy | northern ireland | 64-68-69-67=268 | -20.0 | 2 strokes | crooked stick golf club | carmel, indiana | 8,000,000 | 1,440,000 row 4 : 2011 | justin rose | england | 63-68-69-71=271 | -13.0 | 2 strokes | cog hill golf & country club | lemont, illinois | 8,000,000 | 1,440,000 row 5 : 2010 | dustin johnson | united states | 68-70-68-69=275 | -9.0 | 1 stroke | cog hill golf & country club | lemont, illinois | 7,500,000 | 1,350,000 row 6 : 2009 | tiger woods (2) | united states | 68-67-62-68=265 | -19.0 | 8 strokes | cog hill golf & country club | lemont, illinois | 7,500,000 | 1,350,000 row 7 : 2008 | camilo villegas | colombia | 65-66-66-68=265 | -15.0 | 2 strokes | bellerive country club | town and country, missouri | 7,000,000 | 1,260,000 row 8 : 2007 | tiger woods | united states | 67-67-65-63=262 | -22.0 | 2 strokes | cog hill golf & country club | lemont, illinois | 7,000,000 | 1,260,000
|
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",
"Lake Forest, Illinois",
"8,000,000",
"1,440,000"
],
[
"2012",
"Rory McIlroy",
"Northern Ireland",
"64-68-69-67=268",
"-20.0",
"2 strokes",
"Crooked Stick Golf Club",
"Carmel, Indiana",
"8,000,000",
"1,440,000"
],
[
"2011",
"Justin Rose",
"England",
"63-68-69-71=271",
"-13.0",
"2 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"8,000,000",
"1,440,000"
],
[
"2010",
"Dustin Johnson",
"United States",
"68-70-68-69=275",
"-9.0",
"1 stroke",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,500,000",
"1,350,000"
],
[
"2009",
"Tiger Woods (2)",
"United States",
"68-67-62-68=265",
"-19.0",
"8 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,500,000",
"1,350,000"
],
[
"2008",
"Camilo Villegas",
"Colombia",
"65-66-66-68=265",
"-15.0",
"2 strokes",
"Bellerive Country Club",
"Town and Country, Missouri",
"7,000,000",
"1,260,000"
],
[
"2007",
"Tiger Woods",
"United States",
"67-67-65-63=262",
"-22.0",
"2 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,000,000",
"1,260,000"
]
] |
[
"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 | 2 strokes | conway farms golf club | lake forest, illinois | 8,000,000 | 1,440,000 row 3 : 2012 | rory mcilroy | northern ireland | 64-68-69-67=268 | -20.0 | 2 strokes | crooked stick golf club | carmel, indiana | 8,000,000 | 1,440,000 row 4 : 2011 | justin rose | england | 63-68-69-71=271 | -13.0 | 2 strokes | cog hill golf & country club | lemont, illinois | 8,000,000 | 1,440,000 row 5 : 2010 | dustin johnson | united states | 68-70-68-69=275 | -9.0 | 1 stroke | cog hill golf & country club | lemont, illinois | 7,500,000 | 1,350,000 row 6 : 2009 | tiger woods (2) | united states | 68-67-62-68=265 | -19.0 | 8 strokes | cog hill golf & country club | lemont, illinois | 7,500,000 | 1,350,000 row 7 : 2008 | camilo villegas | colombia | 65-66-66-68=265 | -15.0 | 2 strokes | bellerive country club | town and country, missouri | 7,000,000 | 1,260,000 row 8 : 2007 | tiger woods | united states | 67-67-65-63=262 | -22.0 | 2 strokes | cog hill golf & country club | lemont, illinois | 7,000,000 | 1,260,000
|
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",
"Lake Forest, Illinois",
"8,000,000",
"1,440,000"
],
[
"2012",
"Rory McIlroy",
"Northern Ireland",
"64-68-69-67=268",
"-20.0",
"2 strokes",
"Crooked Stick Golf Club",
"Carmel, Indiana",
"8,000,000",
"1,440,000"
],
[
"2011",
"Justin Rose",
"England",
"63-68-69-71=271",
"-13.0",
"2 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"8,000,000",
"1,440,000"
],
[
"2010",
"Dustin Johnson",
"United States",
"68-70-68-69=275",
"-9.0",
"1 stroke",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,500,000",
"1,350,000"
],
[
"2009",
"Tiger Woods (2)",
"United States",
"68-67-62-68=265",
"-19.0",
"8 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,500,000",
"1,350,000"
],
[
"2008",
"Camilo Villegas",
"Colombia",
"65-66-66-68=265",
"-15.0",
"2 strokes",
"Bellerive Country Club",
"Town and Country, Missouri",
"7,000,000",
"1,260,000"
],
[
"2007",
"Tiger Woods",
"United States",
"67-67-65-63=262",
"-22.0",
"2 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,000,000",
"1,260,000"
]
] |
[
"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 | 2 strokes | conway farms golf club | lake forest, illinois | 8,000,000 | 1,440,000 row 3 : 2012 | rory mcilroy | northern ireland | 64-68-69-67=268 | -20.0 | 2 strokes | crooked stick golf club | carmel, indiana | 8,000,000 | 1,440,000 row 4 : 2011 | justin rose | england | 63-68-69-71=271 | -13.0 | 2 strokes | cog hill golf & country club | lemont, illinois | 8,000,000 | 1,440,000 row 5 : 2010 | dustin johnson | united states | 68-70-68-69=275 | -9.0 | 1 stroke | cog hill golf & country club | lemont, illinois | 7,500,000 | 1,350,000 row 6 : 2009 | tiger woods (2) | united states | 68-67-62-68=265 | -19.0 | 8 strokes | cog hill golf & country club | lemont, illinois | 7,500,000 | 1,350,000 row 7 : 2008 | camilo villegas | colombia | 65-66-66-68=265 | -15.0 | 2 strokes | bellerive country club | town and country, missouri | 7,000,000 | 1,260,000 row 8 : 2007 | tiger woods | united states | 67-67-65-63=262 | -22.0 | 2 strokes | cog hill golf & country club | lemont, illinois | 7,000,000 | 1,260,000
|
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",
"Lake Forest, Illinois",
"8,000,000",
"1,440,000"
],
[
"2012",
"Rory McIlroy",
"Northern Ireland",
"64-68-69-67=268",
"-20.0",
"2 strokes",
"Crooked Stick Golf Club",
"Carmel, Indiana",
"8,000,000",
"1,440,000"
],
[
"2011",
"Justin Rose",
"England",
"63-68-69-71=271",
"-13.0",
"2 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"8,000,000",
"1,440,000"
],
[
"2010",
"Dustin Johnson",
"United States",
"68-70-68-69=275",
"-9.0",
"1 stroke",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,500,000",
"1,350,000"
],
[
"2009",
"Tiger Woods (2)",
"United States",
"68-67-62-68=265",
"-19.0",
"8 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,500,000",
"1,350,000"
],
[
"2008",
"Camilo Villegas",
"Colombia",
"65-66-66-68=265",
"-15.0",
"2 strokes",
"Bellerive Country Club",
"Town and Country, Missouri",
"7,000,000",
"1,260,000"
],
[
"2007",
"Tiger Woods",
"United States",
"67-67-65-63=262",
"-22.0",
"2 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,000,000",
"1,260,000"
]
] |
[
"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 | 2 strokes | conway farms golf club | lake forest, illinois | 8,000,000 | 1,440,000 row 3 : 2012 | rory mcilroy | northern ireland | 64-68-69-67=268 | -20.0 | 2 strokes | crooked stick golf club | carmel, indiana | 8,000,000 | 1,440,000 row 4 : 2011 | justin rose | england | 63-68-69-71=271 | -13.0 | 2 strokes | cog hill golf & country club | lemont, illinois | 8,000,000 | 1,440,000 row 5 : 2010 | dustin johnson | united states | 68-70-68-69=275 | -9.0 | 1 stroke | cog hill golf & country club | lemont, illinois | 7,500,000 | 1,350,000 row 6 : 2009 | tiger woods (2) | united states | 68-67-62-68=265 | -19.0 | 8 strokes | cog hill golf & country club | lemont, illinois | 7,500,000 | 1,350,000 row 7 : 2008 | camilo villegas | colombia | 65-66-66-68=265 | -15.0 | 2 strokes | bellerive country club | town and country, missouri | 7,000,000 | 1,260,000 row 8 : 2007 | tiger woods | united states | 67-67-65-63=262 | -22.0 | 2 strokes | cog hill golf & country club | lemont, illinois | 7,000,000 | 1,260,000
|
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",
"Lake Forest, Illinois",
"8,000,000",
"1,440,000"
],
[
"2012",
"Rory McIlroy",
"Northern Ireland",
"64-68-69-67=268",
"-20.0",
"2 strokes",
"Crooked Stick Golf Club",
"Carmel, Indiana",
"8,000,000",
"1,440,000"
],
[
"2011",
"Justin Rose",
"England",
"63-68-69-71=271",
"-13.0",
"2 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"8,000,000",
"1,440,000"
],
[
"2010",
"Dustin Johnson",
"United States",
"68-70-68-69=275",
"-9.0",
"1 stroke",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,500,000",
"1,350,000"
],
[
"2009",
"Tiger Woods (2)",
"United States",
"68-67-62-68=265",
"-19.0",
"8 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,500,000",
"1,350,000"
],
[
"2008",
"Camilo Villegas",
"Colombia",
"65-66-66-68=265",
"-15.0",
"2 strokes",
"Bellerive Country Club",
"Town and Country, Missouri",
"7,000,000",
"1,260,000"
],
[
"2007",
"Tiger Woods",
"United States",
"67-67-65-63=262",
"-22.0",
"2 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,000,000",
"1,260,000"
]
] |
[
"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 | 2 strokes | conway farms golf club | lake forest, illinois | 8,000,000 | 1,440,000 row 3 : 2012 | rory mcilroy | northern ireland | 64-68-69-67=268 | -20.0 | 2 strokes | crooked stick golf club | carmel, indiana | 8,000,000 | 1,440,000 row 4 : 2011 | justin rose | england | 63-68-69-71=271 | -13.0 | 2 strokes | cog hill golf & country club | lemont, illinois | 8,000,000 | 1,440,000 row 5 : 2010 | dustin johnson | united states | 68-70-68-69=275 | -9.0 | 1 stroke | cog hill golf & country club | lemont, illinois | 7,500,000 | 1,350,000 row 6 : 2009 | tiger woods (2) | united states | 68-67-62-68=265 | -19.0 | 8 strokes | cog hill golf & country club | lemont, illinois | 7,500,000 | 1,350,000 row 7 : 2008 | camilo villegas | colombia | 65-66-66-68=265 | -15.0 | 2 strokes | bellerive country club | town and country, missouri | 7,000,000 | 1,260,000 row 8 : 2007 | tiger woods | united states | 67-67-65-63=262 | -22.0 | 2 strokes | cog hill golf & country club | lemont, illinois | 7,000,000 | 1,260,000
|
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",
"Lake Forest, Illinois",
"8,000,000",
"1,440,000"
],
[
"2012",
"Rory McIlroy",
"Northern Ireland",
"64-68-69-67=268",
"-20.0",
"2 strokes",
"Crooked Stick Golf Club",
"Carmel, Indiana",
"8,000,000",
"1,440,000"
],
[
"2011",
"Justin Rose",
"England",
"63-68-69-71=271",
"-13.0",
"2 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"8,000,000",
"1,440,000"
],
[
"2010",
"Dustin Johnson",
"United States",
"68-70-68-69=275",
"-9.0",
"1 stroke",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,500,000",
"1,350,000"
],
[
"2009",
"Tiger Woods (2)",
"United States",
"68-67-62-68=265",
"-19.0",
"8 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,500,000",
"1,350,000"
],
[
"2008",
"Camilo Villegas",
"Colombia",
"65-66-66-68=265",
"-15.0",
"2 strokes",
"Bellerive Country Club",
"Town and Country, Missouri",
"7,000,000",
"1,260,000"
],
[
"2007",
"Tiger Woods",
"United States",
"67-67-65-63=262",
"-22.0",
"2 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,000,000",
"1,260,000"
]
] |
[
"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 | 2 strokes | conway farms golf club | lake forest, illinois | 8,000,000 | 1,440,000 row 3 : 2012 | rory mcilroy | northern ireland | 64-68-69-67=268 | -20.0 | 2 strokes | crooked stick golf club | carmel, indiana | 8,000,000 | 1,440,000 row 4 : 2011 | justin rose | england | 63-68-69-71=271 | -13.0 | 2 strokes | cog hill golf & country club | lemont, illinois | 8,000,000 | 1,440,000 row 5 : 2010 | dustin johnson | united states | 68-70-68-69=275 | -9.0 | 1 stroke | cog hill golf & country club | lemont, illinois | 7,500,000 | 1,350,000 row 6 : 2009 | tiger woods (2) | united states | 68-67-62-68=265 | -19.0 | 8 strokes | cog hill golf & country club | lemont, illinois | 7,500,000 | 1,350,000 row 7 : 2008 | camilo villegas | colombia | 65-66-66-68=265 | -15.0 | 2 strokes | bellerive country club | town and country, missouri | 7,000,000 | 1,260,000 row 8 : 2007 | tiger woods | united states | 67-67-65-63=262 | -22.0 | 2 strokes | cog hill golf & country club | lemont, illinois | 7,000,000 | 1,260,000
|
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",
"Lake Forest, Illinois",
"8,000,000",
"1,440,000"
],
[
"2012",
"Rory McIlroy",
"Northern Ireland",
"64-68-69-67=268",
"-20.0",
"2 strokes",
"Crooked Stick Golf Club",
"Carmel, Indiana",
"8,000,000",
"1,440,000"
],
[
"2011",
"Justin Rose",
"England",
"63-68-69-71=271",
"-13.0",
"2 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"8,000,000",
"1,440,000"
],
[
"2010",
"Dustin Johnson",
"United States",
"68-70-68-69=275",
"-9.0",
"1 stroke",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,500,000",
"1,350,000"
],
[
"2009",
"Tiger Woods (2)",
"United States",
"68-67-62-68=265",
"-19.0",
"8 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,500,000",
"1,350,000"
],
[
"2008",
"Camilo Villegas",
"Colombia",
"65-66-66-68=265",
"-15.0",
"2 strokes",
"Bellerive Country Club",
"Town and Country, Missouri",
"7,000,000",
"1,260,000"
],
[
"2007",
"Tiger Woods",
"United States",
"67-67-65-63=262",
"-22.0",
"2 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,000,000",
"1,260,000"
]
] |
[
"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 | 2 strokes | conway farms golf club | lake forest, illinois | 8,000,000 | 1,440,000 row 3 : 2012 | rory mcilroy | northern ireland | 64-68-69-67=268 | -20.0 | 2 strokes | crooked stick golf club | carmel, indiana | 8,000,000 | 1,440,000 row 4 : 2011 | justin rose | england | 63-68-69-71=271 | -13.0 | 2 strokes | cog hill golf & country club | lemont, illinois | 8,000,000 | 1,440,000 row 5 : 2010 | dustin johnson | united states | 68-70-68-69=275 | -9.0 | 1 stroke | cog hill golf & country club | lemont, illinois | 7,500,000 | 1,350,000 row 6 : 2009 | tiger woods (2) | united states | 68-67-62-68=265 | -19.0 | 8 strokes | cog hill golf & country club | lemont, illinois | 7,500,000 | 1,350,000 row 7 : 2008 | camilo villegas | colombia | 65-66-66-68=265 | -15.0 | 2 strokes | bellerive country club | town and country, missouri | 7,000,000 | 1,260,000 row 8 : 2007 | tiger woods | united states | 67-67-65-63=262 | -22.0 | 2 strokes | cog hill golf & country club | lemont, illinois | 7,000,000 | 1,260,000
|
table_csv/203_94.csv
| 0 |
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|
[
"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",
"Lake Forest, Illinois",
"8,000,000",
"1,440,000"
],
[
"2012",
"Rory McIlroy",
"Northern Ireland",
"64-68-69-67=268",
"-20.0",
"2 strokes",
"Crooked Stick Golf Club",
"Carmel, Indiana",
"8,000,000",
"1,440,000"
],
[
"2011",
"Justin Rose",
"England",
"63-68-69-71=271",
"-13.0",
"2 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"8,000,000",
"1,440,000"
],
[
"2010",
"Dustin Johnson",
"United States",
"68-70-68-69=275",
"-9.0",
"1 stroke",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,500,000",
"1,350,000"
],
[
"2009",
"Tiger Woods (2)",
"United States",
"68-67-62-68=265",
"-19.0",
"8 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,500,000",
"1,350,000"
],
[
"2008",
"Camilo Villegas",
"Colombia",
"65-66-66-68=265",
"-15.0",
"2 strokes",
"Bellerive Country Club",
"Town and Country, Missouri",
"7,000,000",
"1,260,000"
],
[
"2007",
"Tiger Woods",
"United States",
"67-67-65-63=262",
"-22.0",
"2 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,000,000",
"1,260,000"
]
] |
[
"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 | 2 strokes | conway farms golf club | lake forest, illinois | 8,000,000 | 1,440,000 row 3 : 2012 | rory mcilroy | northern ireland | 64-68-69-67=268 | -20.0 | 2 strokes | crooked stick golf club | carmel, indiana | 8,000,000 | 1,440,000 row 4 : 2011 | justin rose | england | 63-68-69-71=271 | -13.0 | 2 strokes | cog hill golf & country club | lemont, illinois | 8,000,000 | 1,440,000 row 5 : 2010 | dustin johnson | united states | 68-70-68-69=275 | -9.0 | 1 stroke | cog hill golf & country club | lemont, illinois | 7,500,000 | 1,350,000 row 6 : 2009 | tiger woods (2) | united states | 68-67-62-68=265 | -19.0 | 8 strokes | cog hill golf & country club | lemont, illinois | 7,500,000 | 1,350,000 row 7 : 2008 | camilo villegas | colombia | 65-66-66-68=265 | -15.0 | 2 strokes | bellerive country club | town and country, missouri | 7,000,000 | 1,260,000 row 8 : 2007 | tiger woods | united states | 67-67-65-63=262 | -22.0 | 2 strokes | cog hill golf & country club | lemont, illinois | 7,000,000 | 1,260,000
|
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",
"Lake Forest, Illinois",
"8,000,000",
"1,440,000"
],
[
"2012",
"Rory McIlroy",
"Northern Ireland",
"64-68-69-67=268",
"-20.0",
"2 strokes",
"Crooked Stick Golf Club",
"Carmel, Indiana",
"8,000,000",
"1,440,000"
],
[
"2011",
"Justin Rose",
"England",
"63-68-69-71=271",
"-13.0",
"2 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"8,000,000",
"1,440,000"
],
[
"2010",
"Dustin Johnson",
"United States",
"68-70-68-69=275",
"-9.0",
"1 stroke",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,500,000",
"1,350,000"
],
[
"2009",
"Tiger Woods (2)",
"United States",
"68-67-62-68=265",
"-19.0",
"8 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,500,000",
"1,350,000"
],
[
"2008",
"Camilo Villegas",
"Colombia",
"65-66-66-68=265",
"-15.0",
"2 strokes",
"Bellerive Country Club",
"Town and Country, Missouri",
"7,000,000",
"1,260,000"
],
[
"2007",
"Tiger Woods",
"United States",
"67-67-65-63=262",
"-22.0",
"2 strokes",
"Cog Hill Golf & Country Club",
"Lemont, Illinois",
"7,000,000",
"1,260,000"
]
] |
[
"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 | nan | jeppe | nan row 5 : 1937 | kloge mand, den | the clever man | shoemaker | nan row 6 : 1936 | sol over danmark | sun over denmark | pastor nicolaj jacobsen | nan row 7 : 1933 | kobberbryllup | nan | handelsgartner johansen | nan row 8 : 1932 | paustians uhr | paustian's clock | mayor | nan row 9 : 1931 | praesten i vejlby | the vicar of vejlby | praesten soren quist | first danish sound film row 10 : 1930 | hr. tell og son | william tell and son | uncle jokum | fy & bi film row 11 : 1929 | hojt paa en kvist | nan | nan | fy & bi film row 12 : 1925 | gronkobings glade gavtyve | pat and patachon are millionaires | bank director | fy & bi film row 13 : 1924 | der mann um mitternacht | the man at midnight | knut hammerdal | nan row 14 : 1921 | det storste i verden | love that lives | thomas ward | directed by holger-madsen row 15 : 1920 | gudernes yndling | the penalty of fame | pommel | nan row 16 : 1919 | krigsmillionaeren | the parvenu | jensen | directed by emanuel gregers row 17 : 1916 | udenfor loven | outside the law | brown | nan row 18 : 1914 | tre indvendige jomfruer | three maidens | nan | nan row 19 : 1914 | lejla | lejla | horse trainer | nan row 20 : 1913 | lille klaus og store klaus | nan | lille klaus | nan row 21 : 1910 | dorian grays portraet | the picture of dorian gray | nan | nan
|
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| 0 |
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}
|
[
"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 indvendige jomfruer, lejla, lille klaus og store klaus, dorian grays portraet
|
[
"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"
],
[
"1938",
"Kongen bod",
"nan",
"Jeppe",
"nan"
],
[
"1937",
"Kloge Mand, Den",
"The Clever Man",
"Shoemaker",
"nan"
],
[
"1936",
"Sol over Danmark",
"Sun Over Denmark",
"Pastor Nicolaj Jacobsen",
"nan"
],
[
"1933",
"Kobberbryllup",
"nan",
"Handelsgartner Johansen",
"nan"
],
[
"1932",
"Paustians Uhr",
"Paustian's Clock",
"Mayor",
"nan"
],
[
"1931",
"Praesten i Vejlby",
"The Vicar of Vejlby",
"Praesten Soren Quist",
"First Danish sound film"
],
[
"1930",
"Hr. Tell og son",
"William Tell and Son",
"Uncle Jokum",
"Fy & Bi Film"
],
[
"1929",
"Hojt paa en Kvist",
"nan",
"nan",
"Fy & Bi Film"
],
[
"1925",
"Gronkobings glade gavtyve",
"Pat and Patachon are Millionaires",
"Bank director",
"Fy & Bi Film"
],
[
"1924",
"Der Mann um Mitternacht",
"The Man at Midnight",
"Knut Hammerdal",
"nan"
],
[
"1921",
"Det Storste i Verden",
"Love that Lives",
"Thomas Ward",
"directed by Holger-Madsen"
],
[
"1920",
"Gudernes yndling",
"The Penalty of Fame",
"Pommel",
"nan"
],
[
"1919",
"Krigsmillionaeren",
"The Parvenu",
"Jensen",
"directed by Emanuel Gregers"
],
[
"1916",
"Udenfor loven",
"Outside the Law",
"Brown",
"nan"
],
[
"1914",
"Tre indvendige Jomfruer",
"Three Maidens",
"nan",
"nan"
],
[
"1914",
"Lejla",
"Lejla",
"Horse trainer",
"nan"
],
[
"1913",
"Lille Klaus og store Klaus",
"nan",
"Lille Klaus",
"nan"
],
[
"1910",
"Dorian Grays Portraet",
"The Picture of Dorian Gray",
"nan",
"nan"
]
] |
[
"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 indvendige Jomfruer",
"Lejla",
"Lille Klaus og store Klaus",
"Dorian Grays Portraet"
] |
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 | nan | jeppe | nan row 5 : 1937 | kloge mand, den | the clever man | shoemaker | nan row 6 : 1936 | sol over danmark | sun over denmark | pastor nicolaj jacobsen | nan row 7 : 1933 | kobberbryllup | nan | handelsgartner johansen | nan row 8 : 1932 | paustians uhr | paustian's clock | mayor | nan row 9 : 1931 | praesten i vejlby | the vicar of vejlby | praesten soren quist | first danish sound film row 10 : 1930 | hr. tell og son | william tell and son | uncle jokum | fy & bi film row 11 : 1929 | hojt paa en kvist | nan | nan | fy & bi film row 12 : 1925 | gronkobings glade gavtyve | pat and patachon are millionaires | bank director | fy & bi film row 13 : 1924 | der mann um mitternacht | the man at midnight | knut hammerdal | nan row 14 : 1921 | det storste i verden | love that lives | thomas ward | directed by holger-madsen row 15 : 1920 | gudernes yndling | the penalty of fame | pommel | nan row 16 : 1919 | krigsmillionaeren | the parvenu | jensen | directed by emanuel gregers row 17 : 1916 | udenfor loven | outside the law | brown | nan row 18 : 1914 | tre indvendige jomfruer | three maidens | nan | nan row 19 : 1914 | lejla | lejla | horse trainer | nan row 20 : 1913 | lille klaus og store klaus | nan | lille klaus | nan row 21 : 1910 | dorian grays portraet | the picture of dorian gray | nan | nan
|
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"
],
[
"1938",
"Kongen bod",
"nan",
"Jeppe",
"nan"
],
[
"1937",
"Kloge Mand, Den",
"The Clever Man",
"Shoemaker",
"nan"
],
[
"1936",
"Sol over Danmark",
"Sun Over Denmark",
"Pastor Nicolaj Jacobsen",
"nan"
],
[
"1933",
"Kobberbryllup",
"nan",
"Handelsgartner Johansen",
"nan"
],
[
"1932",
"Paustians Uhr",
"Paustian's Clock",
"Mayor",
"nan"
],
[
"1931",
"Praesten i Vejlby",
"The Vicar of Vejlby",
"Praesten Soren Quist",
"First Danish sound film"
],
[
"1930",
"Hr. Tell og son",
"William Tell and Son",
"Uncle Jokum",
"Fy & Bi Film"
],
[
"1929",
"Hojt paa en Kvist",
"nan",
"nan",
"Fy & Bi Film"
],
[
"1925",
"Gronkobings glade gavtyve",
"Pat and Patachon are Millionaires",
"Bank director",
"Fy & Bi Film"
],
[
"1924",
"Der Mann um Mitternacht",
"The Man at Midnight",
"Knut Hammerdal",
"nan"
],
[
"1921",
"Det Storste i Verden",
"Love that Lives",
"Thomas Ward",
"directed by Holger-Madsen"
],
[
"1920",
"Gudernes yndling",
"The Penalty of Fame",
"Pommel",
"nan"
],
[
"1919",
"Krigsmillionaeren",
"The Parvenu",
"Jensen",
"directed by Emanuel Gregers"
],
[
"1916",
"Udenfor loven",
"Outside the Law",
"Brown",
"nan"
],
[
"1914",
"Tre indvendige Jomfruer",
"Three Maidens",
"nan",
"nan"
],
[
"1914",
"Lejla",
"Lejla",
"Horse trainer",
"nan"
],
[
"1913",
"Lille Klaus og store Klaus",
"nan",
"Lille Klaus",
"nan"
],
[
"1910",
"Dorian Grays Portraet",
"The Picture of Dorian Gray",
"nan",
"nan"
]
] |
[
"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 | nan | jeppe | nan row 5 : 1937 | kloge mand, den | the clever man | shoemaker | nan row 6 : 1936 | sol over danmark | sun over denmark | pastor nicolaj jacobsen | nan row 7 : 1933 | kobberbryllup | nan | handelsgartner johansen | nan row 8 : 1932 | paustians uhr | paustian's clock | mayor | nan row 9 : 1931 | praesten i vejlby | the vicar of vejlby | praesten soren quist | first danish sound film row 10 : 1930 | hr. tell og son | william tell and son | uncle jokum | fy & bi film row 11 : 1929 | hojt paa en kvist | nan | nan | fy & bi film row 12 : 1925 | gronkobings glade gavtyve | pat and patachon are millionaires | bank director | fy & bi film row 13 : 1924 | der mann um mitternacht | the man at midnight | knut hammerdal | nan row 14 : 1921 | det storste i verden | love that lives | thomas ward | directed by holger-madsen row 15 : 1920 | gudernes yndling | the penalty of fame | pommel | nan row 16 : 1919 | krigsmillionaeren | the parvenu | jensen | directed by emanuel gregers row 17 : 1916 | udenfor loven | outside the law | brown | nan row 18 : 1914 | tre indvendige jomfruer | three maidens | nan | nan row 19 : 1914 | lejla | lejla | horse trainer | nan row 20 : 1913 | lille klaus og store klaus | nan | lille klaus | nan row 21 : 1910 | dorian grays portraet | the picture of dorian gray | nan | nan
|
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|
[
"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 indvendige jomfruer, lejla, lille klaus og store klaus, dorian grays portraet
|
[
"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"
],
[
"1938",
"Kongen bod",
"nan",
"Jeppe",
"nan"
],
[
"1937",
"Kloge Mand, Den",
"The Clever Man",
"Shoemaker",
"nan"
],
[
"1936",
"Sol over Danmark",
"Sun Over Denmark",
"Pastor Nicolaj Jacobsen",
"nan"
],
[
"1933",
"Kobberbryllup",
"nan",
"Handelsgartner Johansen",
"nan"
],
[
"1932",
"Paustians Uhr",
"Paustian's Clock",
"Mayor",
"nan"
],
[
"1931",
"Praesten i Vejlby",
"The Vicar of Vejlby",
"Praesten Soren Quist",
"First Danish sound film"
],
[
"1930",
"Hr. Tell og son",
"William Tell and Son",
"Uncle Jokum",
"Fy & Bi Film"
],
[
"1929",
"Hojt paa en Kvist",
"nan",
"nan",
"Fy & Bi Film"
],
[
"1925",
"Gronkobings glade gavtyve",
"Pat and Patachon are Millionaires",
"Bank director",
"Fy & Bi Film"
],
[
"1924",
"Der Mann um Mitternacht",
"The Man at Midnight",
"Knut Hammerdal",
"nan"
],
[
"1921",
"Det Storste i Verden",
"Love that Lives",
"Thomas Ward",
"directed by Holger-Madsen"
],
[
"1920",
"Gudernes yndling",
"The Penalty of Fame",
"Pommel",
"nan"
],
[
"1919",
"Krigsmillionaeren",
"The Parvenu",
"Jensen",
"directed by Emanuel Gregers"
],
[
"1916",
"Udenfor loven",
"Outside the Law",
"Brown",
"nan"
],
[
"1914",
"Tre indvendige Jomfruer",
"Three Maidens",
"nan",
"nan"
],
[
"1914",
"Lejla",
"Lejla",
"Horse trainer",
"nan"
],
[
"1913",
"Lille Klaus og store Klaus",
"nan",
"Lille Klaus",
"nan"
],
[
"1910",
"Dorian Grays Portraet",
"The Picture of Dorian Gray",
"nan",
"nan"
]
] |
[
"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 indvendige Jomfruer",
"Lejla",
"Lille Klaus og store Klaus",
"Dorian Grays Portraet"
] |
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 | nan | jeppe | nan row 5 : 1937 | kloge mand, den | the clever man | shoemaker | nan row 6 : 1936 | sol over danmark | sun over denmark | pastor nicolaj jacobsen | nan row 7 : 1933 | kobberbryllup | nan | handelsgartner johansen | nan row 8 : 1932 | paustians uhr | paustian's clock | mayor | nan row 9 : 1931 | praesten i vejlby | the vicar of vejlby | praesten soren quist | first danish sound film row 10 : 1930 | hr. tell og son | william tell and son | uncle jokum | fy & bi film row 11 : 1929 | hojt paa en kvist | nan | nan | fy & bi film row 12 : 1925 | gronkobings glade gavtyve | pat and patachon are millionaires | bank director | fy & bi film row 13 : 1924 | der mann um mitternacht | the man at midnight | knut hammerdal | nan row 14 : 1921 | det storste i verden | love that lives | thomas ward | directed by holger-madsen row 15 : 1920 | gudernes yndling | the penalty of fame | pommel | nan row 16 : 1919 | krigsmillionaeren | the parvenu | jensen | directed by emanuel gregers row 17 : 1916 | udenfor loven | outside the law | brown | nan row 18 : 1914 | tre indvendige jomfruer | three maidens | nan | nan row 19 : 1914 | lejla | lejla | horse trainer | nan row 20 : 1913 | lille klaus og store klaus | nan | lille klaus | nan row 21 : 1910 | dorian grays portraet | the picture of dorian gray | nan | nan
|
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"
],
[
"1938",
"Kongen bod",
"nan",
"Jeppe",
"nan"
],
[
"1937",
"Kloge Mand, Den",
"The Clever Man",
"Shoemaker",
"nan"
],
[
"1936",
"Sol over Danmark",
"Sun Over Denmark",
"Pastor Nicolaj Jacobsen",
"nan"
],
[
"1933",
"Kobberbryllup",
"nan",
"Handelsgartner Johansen",
"nan"
],
[
"1932",
"Paustians Uhr",
"Paustian's Clock",
"Mayor",
"nan"
],
[
"1931",
"Praesten i Vejlby",
"The Vicar of Vejlby",
"Praesten Soren Quist",
"First Danish sound film"
],
[
"1930",
"Hr. Tell og son",
"William Tell and Son",
"Uncle Jokum",
"Fy & Bi Film"
],
[
"1929",
"Hojt paa en Kvist",
"nan",
"nan",
"Fy & Bi Film"
],
[
"1925",
"Gronkobings glade gavtyve",
"Pat and Patachon are Millionaires",
"Bank director",
"Fy & Bi Film"
],
[
"1924",
"Der Mann um Mitternacht",
"The Man at Midnight",
"Knut Hammerdal",
"nan"
],
[
"1921",
"Det Storste i Verden",
"Love that Lives",
"Thomas Ward",
"directed by Holger-Madsen"
],
[
"1920",
"Gudernes yndling",
"The Penalty of Fame",
"Pommel",
"nan"
],
[
"1919",
"Krigsmillionaeren",
"The Parvenu",
"Jensen",
"directed by Emanuel Gregers"
],
[
"1916",
"Udenfor loven",
"Outside the Law",
"Brown",
"nan"
],
[
"1914",
"Tre indvendige Jomfruer",
"Three Maidens",
"nan",
"nan"
],
[
"1914",
"Lejla",
"Lejla",
"Horse trainer",
"nan"
],
[
"1913",
"Lille Klaus og store Klaus",
"nan",
"Lille Klaus",
"nan"
],
[
"1910",
"Dorian Grays Portraet",
"The Picture of Dorian Gray",
"nan",
"nan"
]
] |
[
"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 | nan | jeppe | nan row 5 : 1937 | kloge mand, den | the clever man | shoemaker | nan row 6 : 1936 | sol over danmark | sun over denmark | pastor nicolaj jacobsen | nan row 7 : 1933 | kobberbryllup | nan | handelsgartner johansen | nan row 8 : 1932 | paustians uhr | paustian's clock | mayor | nan row 9 : 1931 | praesten i vejlby | the vicar of vejlby | praesten soren quist | first danish sound film row 10 : 1930 | hr. tell og son | william tell and son | uncle jokum | fy & bi film row 11 : 1929 | hojt paa en kvist | nan | nan | fy & bi film row 12 : 1925 | gronkobings glade gavtyve | pat and patachon are millionaires | bank director | fy & bi film row 13 : 1924 | der mann um mitternacht | the man at midnight | knut hammerdal | nan row 14 : 1921 | det storste i verden | love that lives | thomas ward | directed by holger-madsen row 15 : 1920 | gudernes yndling | the penalty of fame | pommel | nan row 16 : 1919 | krigsmillionaeren | the parvenu | jensen | directed by emanuel gregers row 17 : 1916 | udenfor loven | outside the law | brown | nan row 18 : 1914 | tre indvendige jomfruer | three maidens | nan | nan row 19 : 1914 | lejla | lejla | horse trainer | nan row 20 : 1913 | lille klaus og store klaus | nan | lille klaus | nan row 21 : 1910 | dorian grays portraet | the picture of dorian gray | nan | nan
|
table_csv/204_91.csv
| 0 |
{
"column_index": [
1,
1,
1,
1,
1,
1,
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1,
1,
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18,
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20
]
}
|
[
"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 indvendige jomfruer, lejla, lille klaus og store klaus, dorian grays portraet
|
[
"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"
],
[
"1938",
"Kongen bod",
"nan",
"Jeppe",
"nan"
],
[
"1937",
"Kloge Mand, Den",
"The Clever Man",
"Shoemaker",
"nan"
],
[
"1936",
"Sol over Danmark",
"Sun Over Denmark",
"Pastor Nicolaj Jacobsen",
"nan"
],
[
"1933",
"Kobberbryllup",
"nan",
"Handelsgartner Johansen",
"nan"
],
[
"1932",
"Paustians Uhr",
"Paustian's Clock",
"Mayor",
"nan"
],
[
"1931",
"Praesten i Vejlby",
"The Vicar of Vejlby",
"Praesten Soren Quist",
"First Danish sound film"
],
[
"1930",
"Hr. Tell og son",
"William Tell and Son",
"Uncle Jokum",
"Fy & Bi Film"
],
[
"1929",
"Hojt paa en Kvist",
"nan",
"nan",
"Fy & Bi Film"
],
[
"1925",
"Gronkobings glade gavtyve",
"Pat and Patachon are Millionaires",
"Bank director",
"Fy & Bi Film"
],
[
"1924",
"Der Mann um Mitternacht",
"The Man at Midnight",
"Knut Hammerdal",
"nan"
],
[
"1921",
"Det Storste i Verden",
"Love that Lives",
"Thomas Ward",
"directed by Holger-Madsen"
],
[
"1920",
"Gudernes yndling",
"The Penalty of Fame",
"Pommel",
"nan"
],
[
"1919",
"Krigsmillionaeren",
"The Parvenu",
"Jensen",
"directed by Emanuel Gregers"
],
[
"1916",
"Udenfor loven",
"Outside the Law",
"Brown",
"nan"
],
[
"1914",
"Tre indvendige Jomfruer",
"Three Maidens",
"nan",
"nan"
],
[
"1914",
"Lejla",
"Lejla",
"Horse trainer",
"nan"
],
[
"1913",
"Lille Klaus og store Klaus",
"nan",
"Lille Klaus",
"nan"
],
[
"1910",
"Dorian Grays Portraet",
"The Picture of Dorian Gray",
"nan",
"nan"
]
] |
[
"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 indvendige Jomfruer",
"Lejla",
"Lille Klaus og store Klaus",
"Dorian Grays Portraet"
] |
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 | nan | jeppe | nan row 5 : 1937 | kloge mand, den | the clever man | shoemaker | nan row 6 : 1936 | sol over danmark | sun over denmark | pastor nicolaj jacobsen | nan row 7 : 1933 | kobberbryllup | nan | handelsgartner johansen | nan row 8 : 1932 | paustians uhr | paustian's clock | mayor | nan row 9 : 1931 | praesten i vejlby | the vicar of vejlby | praesten soren quist | first danish sound film row 10 : 1930 | hr. tell og son | william tell and son | uncle jokum | fy & bi film row 11 : 1929 | hojt paa en kvist | nan | nan | fy & bi film row 12 : 1925 | gronkobings glade gavtyve | pat and patachon are millionaires | bank director | fy & bi film row 13 : 1924 | der mann um mitternacht | the man at midnight | knut hammerdal | nan row 14 : 1921 | det storste i verden | love that lives | thomas ward | directed by holger-madsen row 15 : 1920 | gudernes yndling | the penalty of fame | pommel | nan row 16 : 1919 | krigsmillionaeren | the parvenu | jensen | directed by emanuel gregers row 17 : 1916 | udenfor loven | outside the law | brown | nan row 18 : 1914 | tre indvendige jomfruer | three maidens | nan | nan row 19 : 1914 | lejla | lejla | horse trainer | nan row 20 : 1913 | lille klaus og store klaus | nan | lille klaus | nan row 21 : 1910 | dorian grays portraet | the picture of dorian gray | nan | nan
|
table_csv/204_91.csv
| 1 |
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3,
3,
3,
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3,
3,
3,
3,
3,
3,
3,
3,
3,
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3,
3,
3,
3,
3
],
"row_index": [
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1,
2,
3,
4,
5,
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7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20
]
}
|
[
"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"
],
[
"1938",
"Kongen bod",
"nan",
"Jeppe",
"nan"
],
[
"1937",
"Kloge Mand, Den",
"The Clever Man",
"Shoemaker",
"nan"
],
[
"1936",
"Sol over Danmark",
"Sun Over Denmark",
"Pastor Nicolaj Jacobsen",
"nan"
],
[
"1933",
"Kobberbryllup",
"nan",
"Handelsgartner Johansen",
"nan"
],
[
"1932",
"Paustians Uhr",
"Paustian's Clock",
"Mayor",
"nan"
],
[
"1931",
"Praesten i Vejlby",
"The Vicar of Vejlby",
"Praesten Soren Quist",
"First Danish sound film"
],
[
"1930",
"Hr. Tell og son",
"William Tell and Son",
"Uncle Jokum",
"Fy & Bi Film"
],
[
"1929",
"Hojt paa en Kvist",
"nan",
"nan",
"Fy & Bi Film"
],
[
"1925",
"Gronkobings glade gavtyve",
"Pat and Patachon are Millionaires",
"Bank director",
"Fy & Bi Film"
],
[
"1924",
"Der Mann um Mitternacht",
"The Man at Midnight",
"Knut Hammerdal",
"nan"
],
[
"1921",
"Det Storste i Verden",
"Love that Lives",
"Thomas Ward",
"directed by Holger-Madsen"
],
[
"1920",
"Gudernes yndling",
"The Penalty of Fame",
"Pommel",
"nan"
],
[
"1919",
"Krigsmillionaeren",
"The Parvenu",
"Jensen",
"directed by Emanuel Gregers"
],
[
"1916",
"Udenfor loven",
"Outside the Law",
"Brown",
"nan"
],
[
"1914",
"Tre indvendige Jomfruer",
"Three Maidens",
"nan",
"nan"
],
[
"1914",
"Lejla",
"Lejla",
"Horse trainer",
"nan"
],
[
"1913",
"Lille Klaus og store Klaus",
"nan",
"Lille Klaus",
"nan"
],
[
"1910",
"Dorian Grays Portraet",
"The Picture of Dorian Gray",
"nan",
"nan"
]
] |
[
"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",
""
] |
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 | nan | jeppe | nan row 5 : 1937 | kloge mand, den | the clever man | shoemaker | nan row 6 : 1936 | sol over danmark | sun over denmark | pastor nicolaj jacobsen | nan row 7 : 1933 | kobberbryllup | nan | handelsgartner johansen | nan row 8 : 1932 | paustians uhr | paustian's clock | mayor | nan row 9 : 1931 | praesten i vejlby | the vicar of vejlby | praesten soren quist | first danish sound film row 10 : 1930 | hr. tell og son | william tell and son | uncle jokum | fy & bi film row 11 : 1929 | hojt paa en kvist | nan | nan | fy & bi film row 12 : 1925 | gronkobings glade gavtyve | pat and patachon are millionaires | bank director | fy & bi film row 13 : 1924 | der mann um mitternacht | the man at midnight | knut hammerdal | nan row 14 : 1921 | det storste i verden | love that lives | thomas ward | directed by holger-madsen row 15 : 1920 | gudernes yndling | the penalty of fame | pommel | nan row 16 : 1919 | krigsmillionaeren | the parvenu | jensen | directed by emanuel gregers row 17 : 1916 | udenfor loven | outside the law | brown | nan row 18 : 1914 | tre indvendige jomfruer | three maidens | nan | nan row 19 : 1914 | lejla | lejla | horse trainer | nan row 20 : 1913 | lille klaus og store klaus | nan | lille klaus | nan row 21 : 1910 | dorian grays portraet | the picture of dorian gray | nan | nan
|
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"
],
[
"1938",
"Kongen bod",
"nan",
"Jeppe",
"nan"
],
[
"1937",
"Kloge Mand, Den",
"The Clever Man",
"Shoemaker",
"nan"
],
[
"1936",
"Sol over Danmark",
"Sun Over Denmark",
"Pastor Nicolaj Jacobsen",
"nan"
],
[
"1933",
"Kobberbryllup",
"nan",
"Handelsgartner Johansen",
"nan"
],
[
"1932",
"Paustians Uhr",
"Paustian's Clock",
"Mayor",
"nan"
],
[
"1931",
"Praesten i Vejlby",
"The Vicar of Vejlby",
"Praesten Soren Quist",
"First Danish sound film"
],
[
"1930",
"Hr. Tell og son",
"William Tell and Son",
"Uncle Jokum",
"Fy & Bi Film"
],
[
"1929",
"Hojt paa en Kvist",
"nan",
"nan",
"Fy & Bi Film"
],
[
"1925",
"Gronkobings glade gavtyve",
"Pat and Patachon are Millionaires",
"Bank director",
"Fy & Bi Film"
],
[
"1924",
"Der Mann um Mitternacht",
"The Man at Midnight",
"Knut Hammerdal",
"nan"
],
[
"1921",
"Det Storste i Verden",
"Love that Lives",
"Thomas Ward",
"directed by Holger-Madsen"
],
[
"1920",
"Gudernes yndling",
"The Penalty of Fame",
"Pommel",
"nan"
],
[
"1919",
"Krigsmillionaeren",
"The Parvenu",
"Jensen",
"directed by Emanuel Gregers"
],
[
"1916",
"Udenfor loven",
"Outside the Law",
"Brown",
"nan"
],
[
"1914",
"Tre indvendige Jomfruer",
"Three Maidens",
"nan",
"nan"
],
[
"1914",
"Lejla",
"Lejla",
"Horse trainer",
"nan"
],
[
"1913",
"Lille Klaus og store Klaus",
"nan",
"Lille Klaus",
"nan"
],
[
"1910",
"Dorian Grays Portraet",
"The Picture of Dorian Gray",
"nan",
"nan"
]
] |
[
"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 | 31 row 5 : brentwood lirr parking lot | brentwood | 1.0 | 3,924 | 11 row 6 : deer park lirr parking lot | deer park | 2.25 | 3,924 | 39 row 7 : ronkonkoma lirr parking lot (south) | ronkonkoma | 5.0 | 20,110 | 44
|
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",
"Riverside",
"3.0",
"11,536",
"31"
],
[
"Brentwood LIRR Parking Lot",
"Brentwood",
"1.0",
"3,924",
"11"
],
[
"Deer Park LIRR Parking Lot",
"Deer Park",
"2.25",
"3,924",
"39"
],
[
"Ronkonkoma LIRR Parking Lot (south)",
"Ronkonkoma",
"5.0",
"20,110",
"44"
]
] |
[
"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 | 31 row 5 : brentwood lirr parking lot | brentwood | 1.0 | 3,924 | 11 row 6 : deer park lirr parking lot | deer park | 2.25 | 3,924 | 39 row 7 : ronkonkoma lirr parking lot (south) | ronkonkoma | 5.0 | 20,110 | 44
|
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",
"Riverside",
"3.0",
"11,536",
"31"
],
[
"Brentwood LIRR Parking Lot",
"Brentwood",
"1.0",
"3,924",
"11"
],
[
"Deer Park LIRR Parking Lot",
"Deer Park",
"2.25",
"3,924",
"39"
],
[
"Ronkonkoma LIRR Parking Lot (south)",
"Ronkonkoma",
"5.0",
"20,110",
"44"
]
] |
[
"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 | 31 row 5 : brentwood lirr parking lot | brentwood | 1.0 | 3,924 | 11 row 6 : deer park lirr parking lot | deer park | 2.25 | 3,924 | 39 row 7 : ronkonkoma lirr parking lot (south) | ronkonkoma | 5.0 | 20,110 | 44
|
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",
"Riverside",
"3.0",
"11,536",
"31"
],
[
"Brentwood LIRR Parking Lot",
"Brentwood",
"1.0",
"3,924",
"11"
],
[
"Deer Park LIRR Parking Lot",
"Deer Park",
"2.25",
"3,924",
"39"
],
[
"Ronkonkoma LIRR Parking Lot (south)",
"Ronkonkoma",
"5.0",
"20,110",
"44"
]
] |
[
"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 | 31 row 5 : brentwood lirr parking lot | brentwood | 1.0 | 3,924 | 11 row 6 : deer park lirr parking lot | deer park | 2.25 | 3,924 | 39 row 7 : ronkonkoma lirr parking lot (south) | ronkonkoma | 5.0 | 20,110 | 44
|
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",
"Riverside",
"3.0",
"11,536",
"31"
],
[
"Brentwood LIRR Parking Lot",
"Brentwood",
"1.0",
"3,924",
"11"
],
[
"Deer Park LIRR Parking Lot",
"Deer Park",
"2.25",
"3,924",
"39"
],
[
"Ronkonkoma LIRR Parking Lot (south)",
"Ronkonkoma",
"5.0",
"20,110",
"44"
]
] |
[
"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 | 31 row 5 : brentwood lirr parking lot | brentwood | 1.0 | 3,924 | 11 row 6 : deer park lirr parking lot | deer park | 2.25 | 3,924 | 39 row 7 : ronkonkoma lirr parking lot (south) | ronkonkoma | 5.0 | 20,110 | 44
|
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",
"Riverside",
"3.0",
"11,536",
"31"
],
[
"Brentwood LIRR Parking Lot",
"Brentwood",
"1.0",
"3,924",
"11"
],
[
"Deer Park LIRR Parking Lot",
"Deer Park",
"2.25",
"3,924",
"39"
],
[
"Ronkonkoma LIRR Parking Lot (south)",
"Ronkonkoma",
"5.0",
"20,110",
"44"
]
] |
[
"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 | 31 row 5 : brentwood lirr parking lot | brentwood | 1.0 | 3,924 | 11 row 6 : deer park lirr parking lot | deer park | 2.25 | 3,924 | 39 row 7 : ronkonkoma lirr parking lot (south) | ronkonkoma | 5.0 | 20,110 | 44
|
table_csv/204_185.csv
| 0 |
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1,
1,
2,
2,
3,
3,
4,
4,
5,
5,
6,
6
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}
|
[
"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",
"Riverside",
"3.0",
"11,536",
"31"
],
[
"Brentwood LIRR Parking Lot",
"Brentwood",
"1.0",
"3,924",
"11"
],
[
"Deer Park LIRR Parking Lot",
"Deer Park",
"2.25",
"3,924",
"39"
],
[
"Ronkonkoma LIRR Parking Lot (south)",
"Ronkonkoma",
"5.0",
"20,110",
"44"
]
] |
[
"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 | 31 row 5 : brentwood lirr parking lot | brentwood | 1.0 | 3,924 | 11 row 6 : deer park lirr parking lot | deer park | 2.25 | 3,924 | 39 row 7 : ronkonkoma lirr parking lot (south) | ronkonkoma | 5.0 | 20,110 | 44
|
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",
"Riverside",
"3.0",
"11,536",
"31"
],
[
"Brentwood LIRR Parking Lot",
"Brentwood",
"1.0",
"3,924",
"11"
],
[
"Deer Park LIRR Parking Lot",
"Deer Park",
"2.25",
"3,924",
"39"
],
[
"Ronkonkoma LIRR Parking Lot (south)",
"Ronkonkoma",
"5.0",
"20,110",
"44"
]
] |
[
"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 | 31 row 5 : brentwood lirr parking lot | brentwood | 1.0 | 3,924 | 11 row 6 : deer park lirr parking lot | deer park | 2.25 | 3,924 | 39 row 7 : ronkonkoma lirr parking lot (south) | ronkonkoma | 5.0 | 20,110 | 44
|
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",
"Riverside",
"3.0",
"11,536",
"31"
],
[
"Brentwood LIRR Parking Lot",
"Brentwood",
"1.0",
"3,924",
"11"
],
[
"Deer Park LIRR Parking Lot",
"Deer Park",
"2.25",
"3,924",
"39"
],
[
"Ronkonkoma LIRR Parking Lot (south)",
"Ronkonkoma",
"5.0",
"20,110",
"44"
]
] |
[
"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 | 31 row 5 : brentwood lirr parking lot | brentwood | 1.0 | 3,924 | 11 row 6 : deer park lirr parking lot | deer park | 2.25 | 3,924 | 39 row 7 : ronkonkoma lirr parking lot (south) | ronkonkoma | 5.0 | 20,110 | 44
|
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",
"Riverside",
"3.0",
"11,536",
"31"
],
[
"Brentwood LIRR Parking Lot",
"Brentwood",
"1.0",
"3,924",
"11"
],
[
"Deer Park LIRR Parking Lot",
"Deer Park",
"2.25",
"3,924",
"39"
],
[
"Ronkonkoma LIRR Parking Lot (south)",
"Ronkonkoma",
"5.0",
"20,110",
"44"
]
] |
[
"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, yerevan | 464 | nan row 5 : erebuni | <<erebowni>> | nubarashen, yerevan | 391 | nan row 6 : artik | <<art`ik>> | harich, shirak | 373 | nan row 7 : abovyan | <<abovyan>> | abovyan, kotayk | 250 | for women and minors row 8 : vanadzor | <<vanadzor>> | vanadzor, lori | 245 | nan row 9 : goris | <<goris>> | goris, syunik | 215 | nan row 10 : hrazdan | <<hrazdan>> | hrazdan, kotayk | 215 | nan row 11 : vardashen | <<vardashen>> | nubarashen, yerevan | 150 | for former policemen and military officers row 12 : yerevan-center | <<erewan-kentron>> | kentron, yerevan | 60 | nan row 13 : total | total | total | 4,391 | nan
|
table_csv/204_414.csv
| 0 |
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9,
9,
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}
|
[
"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 hivandanots`>",
"Kentron, Yerevan",
"464",
"nan"
],
[
"Erebuni",
"<<Erebowni>>",
"Nubarashen, Yerevan",
"391",
"nan"
],
[
"Artik",
"<<Art`ik>>",
"Harich, Shirak",
"373",
"nan"
],
[
"Abovyan",
"<<Abovyan>>",
"Abovyan, Kotayk",
"250",
"For women and minors"
],
[
"Vanadzor",
"<<Vanadzor>>",
"Vanadzor, Lori",
"245",
"nan"
],
[
"Goris",
"<<Goris>>",
"Goris, Syunik",
"215",
"nan"
],
[
"Hrazdan",
"<<Hrazdan>>",
"Hrazdan, Kotayk",
"215",
"nan"
],
[
"Vardashen",
"<<Vardashen>>",
"Nubarashen, Yerevan",
"150",
"For former policemen and military officers"
],
[
"Yerevan-Center",
"<<Erewan-Kentron>>",
"Kentron, Yerevan",
"60",
"nan"
],
[
"TOTAL",
"TOTAL",
"TOTAL",
"4,391",
"nan"
]
] |
[
"Nubarashen",
"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, yerevan | 464 | nan row 5 : erebuni | <<erebowni>> | nubarashen, yerevan | 391 | nan row 6 : artik | <<art`ik>> | harich, shirak | 373 | nan row 7 : abovyan | <<abovyan>> | abovyan, kotayk | 250 | for women and minors row 8 : vanadzor | <<vanadzor>> | vanadzor, lori | 245 | nan row 9 : goris | <<goris>> | goris, syunik | 215 | nan row 10 : hrazdan | <<hrazdan>> | hrazdan, kotayk | 215 | nan row 11 : vardashen | <<vardashen>> | nubarashen, yerevan | 150 | for former policemen and military officers row 12 : yerevan-center | <<erewan-kentron>> | kentron, yerevan | 60 | nan row 13 : total | total | total | 4,391 | nan
|
table_csv/204_414.csv
| 1 |
{
"column_index": [
0,
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 hivandanots`>",
"Kentron, Yerevan",
"464",
"nan"
],
[
"Erebuni",
"<<Erebowni>>",
"Nubarashen, Yerevan",
"391",
"nan"
],
[
"Artik",
"<<Art`ik>>",
"Harich, Shirak",
"373",
"nan"
],
[
"Abovyan",
"<<Abovyan>>",
"Abovyan, Kotayk",
"250",
"For women and minors"
],
[
"Vanadzor",
"<<Vanadzor>>",
"Vanadzor, Lori",
"245",
"nan"
],
[
"Goris",
"<<Goris>>",
"Goris, Syunik",
"215",
"nan"
],
[
"Hrazdan",
"<<Hrazdan>>",
"Hrazdan, Kotayk",
"215",
"nan"
],
[
"Vardashen",
"<<Vardashen>>",
"Nubarashen, Yerevan",
"150",
"For former policemen and military officers"
],
[
"Yerevan-Center",
"<<Erewan-Kentron>>",
"Kentron, Yerevan",
"60",
"nan"
],
[
"TOTAL",
"TOTAL",
"TOTAL",
"4,391",
"nan"
]
] |
[
"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, yerevan | 464 | nan row 5 : erebuni | <<erebowni>> | nubarashen, yerevan | 391 | nan row 6 : artik | <<art`ik>> | harich, shirak | 373 | nan row 7 : abovyan | <<abovyan>> | abovyan, kotayk | 250 | for women and minors row 8 : vanadzor | <<vanadzor>> | vanadzor, lori | 245 | nan row 9 : goris | <<goris>> | goris, syunik | 215 | nan row 10 : hrazdan | <<hrazdan>> | hrazdan, kotayk | 215 | nan row 11 : vardashen | <<vardashen>> | nubarashen, yerevan | 150 | for former policemen and military officers row 12 : yerevan-center | <<erewan-kentron>> | kentron, yerevan | 60 | nan row 13 : total | total | total | 4,391 | nan
|
table_csv/204_414.csv
| 2 |
{
"column_index": [
0,
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 hivandanots`>",
"Kentron, Yerevan",
"464",
"nan"
],
[
"Erebuni",
"<<Erebowni>>",
"Nubarashen, Yerevan",
"391",
"nan"
],
[
"Artik",
"<<Art`ik>>",
"Harich, Shirak",
"373",
"nan"
],
[
"Abovyan",
"<<Abovyan>>",
"Abovyan, Kotayk",
"250",
"For women and minors"
],
[
"Vanadzor",
"<<Vanadzor>>",
"Vanadzor, Lori",
"245",
"nan"
],
[
"Goris",
"<<Goris>>",
"Goris, Syunik",
"215",
"nan"
],
[
"Hrazdan",
"<<Hrazdan>>",
"Hrazdan, Kotayk",
"215",
"nan"
],
[
"Vardashen",
"<<Vardashen>>",
"Nubarashen, Yerevan",
"150",
"For former policemen and military officers"
],
[
"Yerevan-Center",
"<<Erewan-Kentron>>",
"Kentron, Yerevan",
"60",
"nan"
],
[
"TOTAL",
"TOTAL",
"TOTAL",
"4,391",
"nan"
]
] |
[
"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, yerevan | 464 | nan row 5 : erebuni | <<erebowni>> | nubarashen, yerevan | 391 | nan row 6 : artik | <<art`ik>> | harich, shirak | 373 | nan row 7 : abovyan | <<abovyan>> | abovyan, kotayk | 250 | for women and minors row 8 : vanadzor | <<vanadzor>> | vanadzor, lori | 245 | nan row 9 : goris | <<goris>> | goris, syunik | 215 | nan row 10 : hrazdan | <<hrazdan>> | hrazdan, kotayk | 215 | nan row 11 : vardashen | <<vardashen>> | nubarashen, yerevan | 150 | for former policemen and military officers row 12 : yerevan-center | <<erewan-kentron>> | kentron, yerevan | 60 | nan row 13 : total | total | total | 4,391 | nan
|
table_csv/204_414.csv
| 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 hivandanots`>",
"Kentron, Yerevan",
"464",
"nan"
],
[
"Erebuni",
"<<Erebowni>>",
"Nubarashen, Yerevan",
"391",
"nan"
],
[
"Artik",
"<<Art`ik>>",
"Harich, Shirak",
"373",
"nan"
],
[
"Abovyan",
"<<Abovyan>>",
"Abovyan, Kotayk",
"250",
"For women and minors"
],
[
"Vanadzor",
"<<Vanadzor>>",
"Vanadzor, Lori",
"245",
"nan"
],
[
"Goris",
"<<Goris>>",
"Goris, Syunik",
"215",
"nan"
],
[
"Hrazdan",
"<<Hrazdan>>",
"Hrazdan, Kotayk",
"215",
"nan"
],
[
"Vardashen",
"<<Vardashen>>",
"Nubarashen, Yerevan",
"150",
"For former policemen and military officers"
],
[
"Yerevan-Center",
"<<Erewan-Kentron>>",
"Kentron, Yerevan",
"60",
"nan"
],
[
"TOTAL",
"TOTAL",
"TOTAL",
"4,391",
"nan"
]
] |
[
"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, yerevan | 464 | nan row 5 : erebuni | <<erebowni>> | nubarashen, yerevan | 391 | nan row 6 : artik | <<art`ik>> | harich, shirak | 373 | nan row 7 : abovyan | <<abovyan>> | abovyan, kotayk | 250 | for women and minors row 8 : vanadzor | <<vanadzor>> | vanadzor, lori | 245 | nan row 9 : goris | <<goris>> | goris, syunik | 215 | nan row 10 : hrazdan | <<hrazdan>> | hrazdan, kotayk | 215 | nan row 11 : vardashen | <<vardashen>> | nubarashen, yerevan | 150 | for former policemen and military officers row 12 : yerevan-center | <<erewan-kentron>> | kentron, yerevan | 60 | nan row 13 : total | total | total | 4,391 | nan
|
table_csv/204_414.csv
| 0 |
{
"column_index": [
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 hivandanots`>",
"Kentron, Yerevan",
"464",
"nan"
],
[
"Erebuni",
"<<Erebowni>>",
"Nubarashen, Yerevan",
"391",
"nan"
],
[
"Artik",
"<<Art`ik>>",
"Harich, Shirak",
"373",
"nan"
],
[
"Abovyan",
"<<Abovyan>>",
"Abovyan, Kotayk",
"250",
"For women and minors"
],
[
"Vanadzor",
"<<Vanadzor>>",
"Vanadzor, Lori",
"245",
"nan"
],
[
"Goris",
"<<Goris>>",
"Goris, Syunik",
"215",
"nan"
],
[
"Hrazdan",
"<<Hrazdan>>",
"Hrazdan, Kotayk",
"215",
"nan"
],
[
"Vardashen",
"<<Vardashen>>",
"Nubarashen, Yerevan",
"150",
"For former policemen and military officers"
],
[
"Yerevan-Center",
"<<Erewan-Kentron>>",
"Kentron, Yerevan",
"60",
"nan"
],
[
"TOTAL",
"TOTAL",
"TOTAL",
"4,391",
"nan"
]
] |
[
"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, yerevan | 464 | nan row 5 : erebuni | <<erebowni>> | nubarashen, yerevan | 391 | nan row 6 : artik | <<art`ik>> | harich, shirak | 373 | nan row 7 : abovyan | <<abovyan>> | abovyan, kotayk | 250 | for women and minors row 8 : vanadzor | <<vanadzor>> | vanadzor, lori | 245 | nan row 9 : goris | <<goris>> | goris, syunik | 215 | nan row 10 : hrazdan | <<hrazdan>> | hrazdan, kotayk | 215 | nan row 11 : vardashen | <<vardashen>> | nubarashen, yerevan | 150 | for former policemen and military officers row 12 : yerevan-center | <<erewan-kentron>> | kentron, yerevan | 60 | nan row 13 : total | total | total | 4,391 | nan
|
table_csv/204_414.csv
| 1 |
{
"column_index": [
0
],
"row_index": [
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 hivandanots`>",
"Kentron, Yerevan",
"464",
"nan"
],
[
"Erebuni",
"<<Erebowni>>",
"Nubarashen, Yerevan",
"391",
"nan"
],
[
"Artik",
"<<Art`ik>>",
"Harich, Shirak",
"373",
"nan"
],
[
"Abovyan",
"<<Abovyan>>",
"Abovyan, Kotayk",
"250",
"For women and minors"
],
[
"Vanadzor",
"<<Vanadzor>>",
"Vanadzor, Lori",
"245",
"nan"
],
[
"Goris",
"<<Goris>>",
"Goris, Syunik",
"215",
"nan"
],
[
"Hrazdan",
"<<Hrazdan>>",
"Hrazdan, Kotayk",
"215",
"nan"
],
[
"Vardashen",
"<<Vardashen>>",
"Nubarashen, Yerevan",
"150",
"For former policemen and military officers"
],
[
"Yerevan-Center",
"<<Erewan-Kentron>>",
"Kentron, Yerevan",
"60",
"nan"
],
[
"TOTAL",
"TOTAL",
"TOTAL",
"4,391",
"nan"
]
] |
[
"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, yerevan | 464 | nan row 5 : erebuni | <<erebowni>> | nubarashen, yerevan | 391 | nan row 6 : artik | <<art`ik>> | harich, shirak | 373 | nan row 7 : abovyan | <<abovyan>> | abovyan, kotayk | 250 | for women and minors row 8 : vanadzor | <<vanadzor>> | vanadzor, lori | 245 | nan row 9 : goris | <<goris>> | goris, syunik | 215 | nan row 10 : hrazdan | <<hrazdan>> | hrazdan, kotayk | 215 | nan row 11 : vardashen | <<vardashen>> | nubarashen, yerevan | 150 | for former policemen and military officers row 12 : yerevan-center | <<erewan-kentron>> | kentron, yerevan | 60 | nan row 13 : total | total | total | 4,391 | nan
|
table_csv/204_414.csv
| 0 |
{
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11
]
}
|
[
"what are all the 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 hivandanots`>",
"Kentron, Yerevan",
"464",
"nan"
],
[
"Erebuni",
"<<Erebowni>>",
"Nubarashen, Yerevan",
"391",
"nan"
],
[
"Artik",
"<<Art`ik>>",
"Harich, Shirak",
"373",
"nan"
],
[
"Abovyan",
"<<Abovyan>>",
"Abovyan, Kotayk",
"250",
"For women and minors"
],
[
"Vanadzor",
"<<Vanadzor>>",
"Vanadzor, Lori",
"245",
"nan"
],
[
"Goris",
"<<Goris>>",
"Goris, Syunik",
"215",
"nan"
],
[
"Hrazdan",
"<<Hrazdan>>",
"Hrazdan, Kotayk",
"215",
"nan"
],
[
"Vardashen",
"<<Vardashen>>",
"Nubarashen, Yerevan",
"150",
"For former policemen and military officers"
],
[
"Yerevan-Center",
"<<Erewan-Kentron>>",
"Kentron, Yerevan",
"60",
"nan"
],
[
"TOTAL",
"TOTAL",
"TOTAL",
"4,391",
"nan"
]
] |
[
"Nubarashen",
"Kosh",
"Sevan",
"Prison Hospital",
"Erebuni",
"Artik",
"Abovyan",
"Vanadzor",
"Goris",
"Hrazdan",
"Vardashen",
"Yerevan-Center"
] |
what are all the 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, yerevan | 464 | nan row 5 : erebuni | <<erebowni>> | nubarashen, yerevan | 391 | nan row 6 : artik | <<art`ik>> | harich, shirak | 373 | nan row 7 : abovyan | <<abovyan>> | abovyan, kotayk | 250 | for women and minors row 8 : vanadzor | <<vanadzor>> | vanadzor, lori | 245 | nan row 9 : goris | <<goris>> | goris, syunik | 215 | nan row 10 : hrazdan | <<hrazdan>> | hrazdan, kotayk | 215 | nan row 11 : vardashen | <<vardashen>> | nubarashen, yerevan | 150 | for former policemen and military officers row 12 : yerevan-center | <<erewan-kentron>> | kentron, yerevan | 60 | nan row 13 : total | total | total | 4,391 | nan
|
table_csv/204_414.csv
| 1 |
{
"column_index": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
],
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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 hivandanots`>",
"Kentron, Yerevan",
"464",
"nan"
],
[
"Erebuni",
"<<Erebowni>>",
"Nubarashen, Yerevan",
"391",
"nan"
],
[
"Artik",
"<<Art`ik>>",
"Harich, Shirak",
"373",
"nan"
],
[
"Abovyan",
"<<Abovyan>>",
"Abovyan, Kotayk",
"250",
"For women and minors"
],
[
"Vanadzor",
"<<Vanadzor>>",
"Vanadzor, Lori",
"245",
"nan"
],
[
"Goris",
"<<Goris>>",
"Goris, Syunik",
"215",
"nan"
],
[
"Hrazdan",
"<<Hrazdan>>",
"Hrazdan, Kotayk",
"215",
"nan"
],
[
"Vardashen",
"<<Vardashen>>",
"Nubarashen, Yerevan",
"150",
"For former policemen and military officers"
],
[
"Yerevan-Center",
"<<Erewan-Kentron>>",
"Kentron, Yerevan",
"60",
"nan"
],
[
"TOTAL",
"TOTAL",
"TOTAL",
"4,391",
"nan"
]
] |
[
"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, yerevan | 464 | nan row 5 : erebuni | <<erebowni>> | nubarashen, yerevan | 391 | nan row 6 : artik | <<art`ik>> | harich, shirak | 373 | nan row 7 : abovyan | <<abovyan>> | abovyan, kotayk | 250 | for women and minors row 8 : vanadzor | <<vanadzor>> | vanadzor, lori | 245 | nan row 9 : goris | <<goris>> | goris, syunik | 215 | nan row 10 : hrazdan | <<hrazdan>> | hrazdan, kotayk | 215 | nan row 11 : vardashen | <<vardashen>> | nubarashen, yerevan | 150 | for former policemen and military officers row 12 : yerevan-center | <<erewan-kentron>> | kentron, yerevan | 60 | nan row 13 : total | total | total | 4,391 | nan
|
table_csv/204_414.csv
| 2 |
{
"column_index": [
0
],
"row_index": [
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 hivandanots`>",
"Kentron, Yerevan",
"464",
"nan"
],
[
"Erebuni",
"<<Erebowni>>",
"Nubarashen, Yerevan",
"391",
"nan"
],
[
"Artik",
"<<Art`ik>>",
"Harich, Shirak",
"373",
"nan"
],
[
"Abovyan",
"<<Abovyan>>",
"Abovyan, Kotayk",
"250",
"For women and minors"
],
[
"Vanadzor",
"<<Vanadzor>>",
"Vanadzor, Lori",
"245",
"nan"
],
[
"Goris",
"<<Goris>>",
"Goris, Syunik",
"215",
"nan"
],
[
"Hrazdan",
"<<Hrazdan>>",
"Hrazdan, Kotayk",
"215",
"nan"
],
[
"Vardashen",
"<<Vardashen>>",
"Nubarashen, Yerevan",
"150",
"For former policemen and military officers"
],
[
"Yerevan-Center",
"<<Erewan-Kentron>>",
"Kentron, Yerevan",
"60",
"nan"
],
[
"TOTAL",
"TOTAL",
"TOTAL",
"4,391",
"nan"
]
] |
[
"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 | 8 | heinz-harald frentzen | jordan-mugen-honda | 1:25.991 | 1.187 row 6 : 6 | 7 | damon hill | jordan-mugen-honda | 1:26.099 | 1.295 row 7 : 7 | 16 | rubens barrichello | stewart-ford | 1:26.194 | 1.39 row 8 : 8 | 6 | ralf schumacher | williams-supertec | 1:26.438 | 1.634 row 9 : 9 | 22 | jacques villeneuve | bar-supertec | 1:26.719 | 1.915 row 10 : 10 | 11 | jean alesi | sauber-petronas | 1:26.761 | 1.957 row 11 : 11 | 17 | johnny herbert | stewart-ford | 1:26.873 | 2.069 row 12 : 12 | 12 | pedro diniz | sauber-petronas | 1:27.196 | 2.392 row 13 : 13 | 5 | alessandro zanardi | williams-supertec | 1:27.223 | 2.419 row 14 : 14 | 19 | jarno trulli | prost-peugeot | 1:27.227 | 2.423 row 15 : 15 | 18 | olivier panis | prost-peugeot | 1:27.543 | 2.739 row 16 : 16 | 23 | ricardo zonta | bar-supertec | 1:27.699 | 2.895 row 17 : 17 | 9 | giancarlo fisichella | benetton-playlife | 1:27.857 | 3.053 row 18 : 18 | 10 | alexander wurz | benetton-playlife | 1:28.010 | 3.206 row 19 : 19 | 15 | toranosuke takagi | arrows | 1:28.037 | 3.233 row 20 : 20 | 14 | pedro de la rosa | arrows | 1:28.148 | 3.344 row 21 : 21 | 20 | luca badoer | minardi-ford | 1:28.695 | 3.891 row 22 : 22 | 21 | marc gene | minardi-ford | 1:28.772 | 3.968
|
table_csv/202_78.csv
| 0 |
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2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
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15,
16,
17,
18,
19,
20,
21
]
}
|
[
"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, pedro de la rosa, luca badoer, marc gene
|
[
"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",
"Eddie Irvine",
"Ferrari",
"1:25.677",
"0.873"
],
[
"5",
"8",
"Heinz-Harald Frentzen",
"Jordan-Mugen-Honda",
"1:25.991",
"1.187"
],
[
"6",
"7",
"Damon Hill",
"Jordan-Mugen-Honda",
"1:26.099",
"1.295"
],
[
"7",
"16",
"Rubens Barrichello",
"Stewart-Ford",
"1:26.194",
"1.39"
],
[
"8",
"6",
"Ralf Schumacher",
"Williams-Supertec",
"1:26.438",
"1.634"
],
[
"9",
"22",
"Jacques Villeneuve",
"BAR-Supertec",
"1:26.719",
"1.915"
],
[
"10",
"11",
"Jean Alesi",
"Sauber-Petronas",
"1:26.761",
"1.957"
],
[
"11",
"17",
"Johnny Herbert",
"Stewart-Ford",
"1:26.873",
"2.069"
],
[
"12",
"12",
"Pedro Diniz",
"Sauber-Petronas",
"1:27.196",
"2.392"
],
[
"13",
"5",
"Alessandro Zanardi",
"Williams-Supertec",
"1:27.223",
"2.419"
],
[
"14",
"19",
"Jarno Trulli",
"Prost-Peugeot",
"1:27.227",
"2.423"
],
[
"15",
"18",
"Olivier Panis",
"Prost-Peugeot",
"1:27.543",
"2.739"
],
[
"16",
"23",
"Ricardo Zonta",
"BAR-Supertec",
"1:27.699",
"2.895"
],
[
"17",
"9",
"Giancarlo Fisichella",
"Benetton-Playlife",
"1:27.857",
"3.053"
],
[
"18",
"10",
"Alexander Wurz",
"Benetton-Playlife",
"1:28.010",
"3.206"
],
[
"19",
"15",
"Toranosuke Takagi",
"Arrows",
"1:28.037",
"3.233"
],
[
"20",
"14",
"Pedro de la Rosa",
"Arrows",
"1:28.148",
"3.344"
],
[
"21",
"20",
"Luca Badoer",
"Minardi-Ford",
"1:28.695",
"3.891"
],
[
"22",
"21",
"Marc Gene",
"Minardi-Ford",
"1:28.772",
"3.968"
]
] |
[
"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",
"Pedro de la Rosa",
"Luca Badoer",
"Marc Gene"
] |
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 | 8 | heinz-harald frentzen | jordan-mugen-honda | 1:25.991 | 1.187 row 6 : 6 | 7 | damon hill | jordan-mugen-honda | 1:26.099 | 1.295 row 7 : 7 | 16 | rubens barrichello | stewart-ford | 1:26.194 | 1.39 row 8 : 8 | 6 | ralf schumacher | williams-supertec | 1:26.438 | 1.634 row 9 : 9 | 22 | jacques villeneuve | bar-supertec | 1:26.719 | 1.915 row 10 : 10 | 11 | jean alesi | sauber-petronas | 1:26.761 | 1.957 row 11 : 11 | 17 | johnny herbert | stewart-ford | 1:26.873 | 2.069 row 12 : 12 | 12 | pedro diniz | sauber-petronas | 1:27.196 | 2.392 row 13 : 13 | 5 | alessandro zanardi | williams-supertec | 1:27.223 | 2.419 row 14 : 14 | 19 | jarno trulli | prost-peugeot | 1:27.227 | 2.423 row 15 : 15 | 18 | olivier panis | prost-peugeot | 1:27.543 | 2.739 row 16 : 16 | 23 | ricardo zonta | bar-supertec | 1:27.699 | 2.895 row 17 : 17 | 9 | giancarlo fisichella | benetton-playlife | 1:27.857 | 3.053 row 18 : 18 | 10 | alexander wurz | benetton-playlife | 1:28.010 | 3.206 row 19 : 19 | 15 | toranosuke takagi | arrows | 1:28.037 | 3.233 row 20 : 20 | 14 | pedro de la rosa | arrows | 1:28.148 | 3.344 row 21 : 21 | 20 | luca badoer | minardi-ford | 1:28.695 | 3.891 row 22 : 22 | 21 | marc gene | minardi-ford | 1:28.772 | 3.968
|
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",
"Eddie Irvine",
"Ferrari",
"1:25.677",
"0.873"
],
[
"5",
"8",
"Heinz-Harald Frentzen",
"Jordan-Mugen-Honda",
"1:25.991",
"1.187"
],
[
"6",
"7",
"Damon Hill",
"Jordan-Mugen-Honda",
"1:26.099",
"1.295"
],
[
"7",
"16",
"Rubens Barrichello",
"Stewart-Ford",
"1:26.194",
"1.39"
],
[
"8",
"6",
"Ralf Schumacher",
"Williams-Supertec",
"1:26.438",
"1.634"
],
[
"9",
"22",
"Jacques Villeneuve",
"BAR-Supertec",
"1:26.719",
"1.915"
],
[
"10",
"11",
"Jean Alesi",
"Sauber-Petronas",
"1:26.761",
"1.957"
],
[
"11",
"17",
"Johnny Herbert",
"Stewart-Ford",
"1:26.873",
"2.069"
],
[
"12",
"12",
"Pedro Diniz",
"Sauber-Petronas",
"1:27.196",
"2.392"
],
[
"13",
"5",
"Alessandro Zanardi",
"Williams-Supertec",
"1:27.223",
"2.419"
],
[
"14",
"19",
"Jarno Trulli",
"Prost-Peugeot",
"1:27.227",
"2.423"
],
[
"15",
"18",
"Olivier Panis",
"Prost-Peugeot",
"1:27.543",
"2.739"
],
[
"16",
"23",
"Ricardo Zonta",
"BAR-Supertec",
"1:27.699",
"2.895"
],
[
"17",
"9",
"Giancarlo Fisichella",
"Benetton-Playlife",
"1:27.857",
"3.053"
],
[
"18",
"10",
"Alexander Wurz",
"Benetton-Playlife",
"1:28.010",
"3.206"
],
[
"19",
"15",
"Toranosuke Takagi",
"Arrows",
"1:28.037",
"3.233"
],
[
"20",
"14",
"Pedro de la Rosa",
"Arrows",
"1:28.148",
"3.344"
],
[
"21",
"20",
"Luca Badoer",
"Minardi-Ford",
"1:28.695",
"3.891"
],
[
"22",
"21",
"Marc Gene",
"Minardi-Ford",
"1:28.772",
"3.968"
]
] |
[
"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 | 8 | heinz-harald frentzen | jordan-mugen-honda | 1:25.991 | 1.187 row 6 : 6 | 7 | damon hill | jordan-mugen-honda | 1:26.099 | 1.295 row 7 : 7 | 16 | rubens barrichello | stewart-ford | 1:26.194 | 1.39 row 8 : 8 | 6 | ralf schumacher | williams-supertec | 1:26.438 | 1.634 row 9 : 9 | 22 | jacques villeneuve | bar-supertec | 1:26.719 | 1.915 row 10 : 10 | 11 | jean alesi | sauber-petronas | 1:26.761 | 1.957 row 11 : 11 | 17 | johnny herbert | stewart-ford | 1:26.873 | 2.069 row 12 : 12 | 12 | pedro diniz | sauber-petronas | 1:27.196 | 2.392 row 13 : 13 | 5 | alessandro zanardi | williams-supertec | 1:27.223 | 2.419 row 14 : 14 | 19 | jarno trulli | prost-peugeot | 1:27.227 | 2.423 row 15 : 15 | 18 | olivier panis | prost-peugeot | 1:27.543 | 2.739 row 16 : 16 | 23 | ricardo zonta | bar-supertec | 1:27.699 | 2.895 row 17 : 17 | 9 | giancarlo fisichella | benetton-playlife | 1:27.857 | 3.053 row 18 : 18 | 10 | alexander wurz | benetton-playlife | 1:28.010 | 3.206 row 19 : 19 | 15 | toranosuke takagi | arrows | 1:28.037 | 3.233 row 20 : 20 | 14 | pedro de la rosa | arrows | 1:28.148 | 3.344 row 21 : 21 | 20 | luca badoer | minardi-ford | 1:28.695 | 3.891 row 22 : 22 | 21 | marc gene | minardi-ford | 1:28.772 | 3.968
|
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",
"Eddie Irvine",
"Ferrari",
"1:25.677",
"0.873"
],
[
"5",
"8",
"Heinz-Harald Frentzen",
"Jordan-Mugen-Honda",
"1:25.991",
"1.187"
],
[
"6",
"7",
"Damon Hill",
"Jordan-Mugen-Honda",
"1:26.099",
"1.295"
],
[
"7",
"16",
"Rubens Barrichello",
"Stewart-Ford",
"1:26.194",
"1.39"
],
[
"8",
"6",
"Ralf Schumacher",
"Williams-Supertec",
"1:26.438",
"1.634"
],
[
"9",
"22",
"Jacques Villeneuve",
"BAR-Supertec",
"1:26.719",
"1.915"
],
[
"10",
"11",
"Jean Alesi",
"Sauber-Petronas",
"1:26.761",
"1.957"
],
[
"11",
"17",
"Johnny Herbert",
"Stewart-Ford",
"1:26.873",
"2.069"
],
[
"12",
"12",
"Pedro Diniz",
"Sauber-Petronas",
"1:27.196",
"2.392"
],
[
"13",
"5",
"Alessandro Zanardi",
"Williams-Supertec",
"1:27.223",
"2.419"
],
[
"14",
"19",
"Jarno Trulli",
"Prost-Peugeot",
"1:27.227",
"2.423"
],
[
"15",
"18",
"Olivier Panis",
"Prost-Peugeot",
"1:27.543",
"2.739"
],
[
"16",
"23",
"Ricardo Zonta",
"BAR-Supertec",
"1:27.699",
"2.895"
],
[
"17",
"9",
"Giancarlo Fisichella",
"Benetton-Playlife",
"1:27.857",
"3.053"
],
[
"18",
"10",
"Alexander Wurz",
"Benetton-Playlife",
"1:28.010",
"3.206"
],
[
"19",
"15",
"Toranosuke Takagi",
"Arrows",
"1:28.037",
"3.233"
],
[
"20",
"14",
"Pedro de la Rosa",
"Arrows",
"1:28.148",
"3.344"
],
[
"21",
"20",
"Luca Badoer",
"Minardi-Ford",
"1:28.695",
"3.891"
],
[
"22",
"21",
"Marc Gene",
"Minardi-Ford",
"1:28.772",
"3.968"
]
] |
[
"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 | 8 | heinz-harald frentzen | jordan-mugen-honda | 1:25.991 | 1.187 row 6 : 6 | 7 | damon hill | jordan-mugen-honda | 1:26.099 | 1.295 row 7 : 7 | 16 | rubens barrichello | stewart-ford | 1:26.194 | 1.39 row 8 : 8 | 6 | ralf schumacher | williams-supertec | 1:26.438 | 1.634 row 9 : 9 | 22 | jacques villeneuve | bar-supertec | 1:26.719 | 1.915 row 10 : 10 | 11 | jean alesi | sauber-petronas | 1:26.761 | 1.957 row 11 : 11 | 17 | johnny herbert | stewart-ford | 1:26.873 | 2.069 row 12 : 12 | 12 | pedro diniz | sauber-petronas | 1:27.196 | 2.392 row 13 : 13 | 5 | alessandro zanardi | williams-supertec | 1:27.223 | 2.419 row 14 : 14 | 19 | jarno trulli | prost-peugeot | 1:27.227 | 2.423 row 15 : 15 | 18 | olivier panis | prost-peugeot | 1:27.543 | 2.739 row 16 : 16 | 23 | ricardo zonta | bar-supertec | 1:27.699 | 2.895 row 17 : 17 | 9 | giancarlo fisichella | benetton-playlife | 1:27.857 | 3.053 row 18 : 18 | 10 | alexander wurz | benetton-playlife | 1:28.010 | 3.206 row 19 : 19 | 15 | toranosuke takagi | arrows | 1:28.037 | 3.233 row 20 : 20 | 14 | pedro de la rosa | arrows | 1:28.148 | 3.344 row 21 : 21 | 20 | luca badoer | minardi-ford | 1:28.695 | 3.891 row 22 : 22 | 21 | marc gene | minardi-ford | 1:28.772 | 3.968
|
table_csv/202_78.csv
| 3 |
{
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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",
"Eddie Irvine",
"Ferrari",
"1:25.677",
"0.873"
],
[
"5",
"8",
"Heinz-Harald Frentzen",
"Jordan-Mugen-Honda",
"1:25.991",
"1.187"
],
[
"6",
"7",
"Damon Hill",
"Jordan-Mugen-Honda",
"1:26.099",
"1.295"
],
[
"7",
"16",
"Rubens Barrichello",
"Stewart-Ford",
"1:26.194",
"1.39"
],
[
"8",
"6",
"Ralf Schumacher",
"Williams-Supertec",
"1:26.438",
"1.634"
],
[
"9",
"22",
"Jacques Villeneuve",
"BAR-Supertec",
"1:26.719",
"1.915"
],
[
"10",
"11",
"Jean Alesi",
"Sauber-Petronas",
"1:26.761",
"1.957"
],
[
"11",
"17",
"Johnny Herbert",
"Stewart-Ford",
"1:26.873",
"2.069"
],
[
"12",
"12",
"Pedro Diniz",
"Sauber-Petronas",
"1:27.196",
"2.392"
],
[
"13",
"5",
"Alessandro Zanardi",
"Williams-Supertec",
"1:27.223",
"2.419"
],
[
"14",
"19",
"Jarno Trulli",
"Prost-Peugeot",
"1:27.227",
"2.423"
],
[
"15",
"18",
"Olivier Panis",
"Prost-Peugeot",
"1:27.543",
"2.739"
],
[
"16",
"23",
"Ricardo Zonta",
"BAR-Supertec",
"1:27.699",
"2.895"
],
[
"17",
"9",
"Giancarlo Fisichella",
"Benetton-Playlife",
"1:27.857",
"3.053"
],
[
"18",
"10",
"Alexander Wurz",
"Benetton-Playlife",
"1:28.010",
"3.206"
],
[
"19",
"15",
"Toranosuke Takagi",
"Arrows",
"1:28.037",
"3.233"
],
[
"20",
"14",
"Pedro de la Rosa",
"Arrows",
"1:28.148",
"3.344"
],
[
"21",
"20",
"Luca Badoer",
"Minardi-Ford",
"1:28.695",
"3.891"
],
[
"22",
"21",
"Marc Gene",
"Minardi-Ford",
"1:28.772",
"3.968"
]
] |
[
"+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 | 8 | heinz-harald frentzen | jordan-mugen-honda | 1:25.991 | 1.187 row 6 : 6 | 7 | damon hill | jordan-mugen-honda | 1:26.099 | 1.295 row 7 : 7 | 16 | rubens barrichello | stewart-ford | 1:26.194 | 1.39 row 8 : 8 | 6 | ralf schumacher | williams-supertec | 1:26.438 | 1.634 row 9 : 9 | 22 | jacques villeneuve | bar-supertec | 1:26.719 | 1.915 row 10 : 10 | 11 | jean alesi | sauber-petronas | 1:26.761 | 1.957 row 11 : 11 | 17 | johnny herbert | stewart-ford | 1:26.873 | 2.069 row 12 : 12 | 12 | pedro diniz | sauber-petronas | 1:27.196 | 2.392 row 13 : 13 | 5 | alessandro zanardi | williams-supertec | 1:27.223 | 2.419 row 14 : 14 | 19 | jarno trulli | prost-peugeot | 1:27.227 | 2.423 row 15 : 15 | 18 | olivier panis | prost-peugeot | 1:27.543 | 2.739 row 16 : 16 | 23 | ricardo zonta | bar-supertec | 1:27.699 | 2.895 row 17 : 17 | 9 | giancarlo fisichella | benetton-playlife | 1:27.857 | 3.053 row 18 : 18 | 10 | alexander wurz | benetton-playlife | 1:28.010 | 3.206 row 19 : 19 | 15 | toranosuke takagi | arrows | 1:28.037 | 3.233 row 20 : 20 | 14 | pedro de la rosa | arrows | 1:28.148 | 3.344 row 21 : 21 | 20 | luca badoer | minardi-ford | 1:28.695 | 3.891 row 22 : 22 | 21 | marc gene | minardi-ford | 1:28.772 | 3.968
|
table_csv/202_78.csv
| 0 |
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|
[
"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, pedro de la rosa, luca badoer, marc gene
|
[
"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",
"Eddie Irvine",
"Ferrari",
"1:25.677",
"0.873"
],
[
"5",
"8",
"Heinz-Harald Frentzen",
"Jordan-Mugen-Honda",
"1:25.991",
"1.187"
],
[
"6",
"7",
"Damon Hill",
"Jordan-Mugen-Honda",
"1:26.099",
"1.295"
],
[
"7",
"16",
"Rubens Barrichello",
"Stewart-Ford",
"1:26.194",
"1.39"
],
[
"8",
"6",
"Ralf Schumacher",
"Williams-Supertec",
"1:26.438",
"1.634"
],
[
"9",
"22",
"Jacques Villeneuve",
"BAR-Supertec",
"1:26.719",
"1.915"
],
[
"10",
"11",
"Jean Alesi",
"Sauber-Petronas",
"1:26.761",
"1.957"
],
[
"11",
"17",
"Johnny Herbert",
"Stewart-Ford",
"1:26.873",
"2.069"
],
[
"12",
"12",
"Pedro Diniz",
"Sauber-Petronas",
"1:27.196",
"2.392"
],
[
"13",
"5",
"Alessandro Zanardi",
"Williams-Supertec",
"1:27.223",
"2.419"
],
[
"14",
"19",
"Jarno Trulli",
"Prost-Peugeot",
"1:27.227",
"2.423"
],
[
"15",
"18",
"Olivier Panis",
"Prost-Peugeot",
"1:27.543",
"2.739"
],
[
"16",
"23",
"Ricardo Zonta",
"BAR-Supertec",
"1:27.699",
"2.895"
],
[
"17",
"9",
"Giancarlo Fisichella",
"Benetton-Playlife",
"1:27.857",
"3.053"
],
[
"18",
"10",
"Alexander Wurz",
"Benetton-Playlife",
"1:28.010",
"3.206"
],
[
"19",
"15",
"Toranosuke Takagi",
"Arrows",
"1:28.037",
"3.233"
],
[
"20",
"14",
"Pedro de la Rosa",
"Arrows",
"1:28.148",
"3.344"
],
[
"21",
"20",
"Luca Badoer",
"Minardi-Ford",
"1:28.695",
"3.891"
],
[
"22",
"21",
"Marc Gene",
"Minardi-Ford",
"1:28.772",
"3.968"
]
] |
[
"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",
"Pedro de la Rosa",
"Luca Badoer",
"Marc Gene"
] |
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 | 8 | heinz-harald frentzen | jordan-mugen-honda | 1:25.991 | 1.187 row 6 : 6 | 7 | damon hill | jordan-mugen-honda | 1:26.099 | 1.295 row 7 : 7 | 16 | rubens barrichello | stewart-ford | 1:26.194 | 1.39 row 8 : 8 | 6 | ralf schumacher | williams-supertec | 1:26.438 | 1.634 row 9 : 9 | 22 | jacques villeneuve | bar-supertec | 1:26.719 | 1.915 row 10 : 10 | 11 | jean alesi | sauber-petronas | 1:26.761 | 1.957 row 11 : 11 | 17 | johnny herbert | stewart-ford | 1:26.873 | 2.069 row 12 : 12 | 12 | pedro diniz | sauber-petronas | 1:27.196 | 2.392 row 13 : 13 | 5 | alessandro zanardi | williams-supertec | 1:27.223 | 2.419 row 14 : 14 | 19 | jarno trulli | prost-peugeot | 1:27.227 | 2.423 row 15 : 15 | 18 | olivier panis | prost-peugeot | 1:27.543 | 2.739 row 16 : 16 | 23 | ricardo zonta | bar-supertec | 1:27.699 | 2.895 row 17 : 17 | 9 | giancarlo fisichella | benetton-playlife | 1:27.857 | 3.053 row 18 : 18 | 10 | alexander wurz | benetton-playlife | 1:28.010 | 3.206 row 19 : 19 | 15 | toranosuke takagi | arrows | 1:28.037 | 3.233 row 20 : 20 | 14 | pedro de la rosa | arrows | 1:28.148 | 3.344 row 21 : 21 | 20 | luca badoer | minardi-ford | 1:28.695 | 3.891 row 22 : 22 | 21 | marc gene | minardi-ford | 1:28.772 | 3.968
|
table_csv/202_78.csv
| 1 |
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|
[
"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",
"Eddie Irvine",
"Ferrari",
"1:25.677",
"0.873"
],
[
"5",
"8",
"Heinz-Harald Frentzen",
"Jordan-Mugen-Honda",
"1:25.991",
"1.187"
],
[
"6",
"7",
"Damon Hill",
"Jordan-Mugen-Honda",
"1:26.099",
"1.295"
],
[
"7",
"16",
"Rubens Barrichello",
"Stewart-Ford",
"1:26.194",
"1.39"
],
[
"8",
"6",
"Ralf Schumacher",
"Williams-Supertec",
"1:26.438",
"1.634"
],
[
"9",
"22",
"Jacques Villeneuve",
"BAR-Supertec",
"1:26.719",
"1.915"
],
[
"10",
"11",
"Jean Alesi",
"Sauber-Petronas",
"1:26.761",
"1.957"
],
[
"11",
"17",
"Johnny Herbert",
"Stewart-Ford",
"1:26.873",
"2.069"
],
[
"12",
"12",
"Pedro Diniz",
"Sauber-Petronas",
"1:27.196",
"2.392"
],
[
"13",
"5",
"Alessandro Zanardi",
"Williams-Supertec",
"1:27.223",
"2.419"
],
[
"14",
"19",
"Jarno Trulli",
"Prost-Peugeot",
"1:27.227",
"2.423"
],
[
"15",
"18",
"Olivier Panis",
"Prost-Peugeot",
"1:27.543",
"2.739"
],
[
"16",
"23",
"Ricardo Zonta",
"BAR-Supertec",
"1:27.699",
"2.895"
],
[
"17",
"9",
"Giancarlo Fisichella",
"Benetton-Playlife",
"1:27.857",
"3.053"
],
[
"18",
"10",
"Alexander Wurz",
"Benetton-Playlife",
"1:28.010",
"3.206"
],
[
"19",
"15",
"Toranosuke Takagi",
"Arrows",
"1:28.037",
"3.233"
],
[
"20",
"14",
"Pedro de la Rosa",
"Arrows",
"1:28.148",
"3.344"
],
[
"21",
"20",
"Luca Badoer",
"Minardi-Ford",
"1:28.695",
"3.891"
],
[
"22",
"21",
"Marc Gene",
"Minardi-Ford",
"1:28.772",
"3.968"
]
] |
[
"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 | 8 | heinz-harald frentzen | jordan-mugen-honda | 1:25.991 | 1.187 row 6 : 6 | 7 | damon hill | jordan-mugen-honda | 1:26.099 | 1.295 row 7 : 7 | 16 | rubens barrichello | stewart-ford | 1:26.194 | 1.39 row 8 : 8 | 6 | ralf schumacher | williams-supertec | 1:26.438 | 1.634 row 9 : 9 | 22 | jacques villeneuve | bar-supertec | 1:26.719 | 1.915 row 10 : 10 | 11 | jean alesi | sauber-petronas | 1:26.761 | 1.957 row 11 : 11 | 17 | johnny herbert | stewart-ford | 1:26.873 | 2.069 row 12 : 12 | 12 | pedro diniz | sauber-petronas | 1:27.196 | 2.392 row 13 : 13 | 5 | alessandro zanardi | williams-supertec | 1:27.223 | 2.419 row 14 : 14 | 19 | jarno trulli | prost-peugeot | 1:27.227 | 2.423 row 15 : 15 | 18 | olivier panis | prost-peugeot | 1:27.543 | 2.739 row 16 : 16 | 23 | ricardo zonta | bar-supertec | 1:27.699 | 2.895 row 17 : 17 | 9 | giancarlo fisichella | benetton-playlife | 1:27.857 | 3.053 row 18 : 18 | 10 | alexander wurz | benetton-playlife | 1:28.010 | 3.206 row 19 : 19 | 15 | toranosuke takagi | arrows | 1:28.037 | 3.233 row 20 : 20 | 14 | pedro de la rosa | arrows | 1:28.148 | 3.344 row 21 : 21 | 20 | luca badoer | minardi-ford | 1:28.695 | 3.891 row 22 : 22 | 21 | marc gene | minardi-ford | 1:28.772 | 3.968
|
table_csv/202_78.csv
| 2 |
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|
[
"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",
"Eddie Irvine",
"Ferrari",
"1:25.677",
"0.873"
],
[
"5",
"8",
"Heinz-Harald Frentzen",
"Jordan-Mugen-Honda",
"1:25.991",
"1.187"
],
[
"6",
"7",
"Damon Hill",
"Jordan-Mugen-Honda",
"1:26.099",
"1.295"
],
[
"7",
"16",
"Rubens Barrichello",
"Stewart-Ford",
"1:26.194",
"1.39"
],
[
"8",
"6",
"Ralf Schumacher",
"Williams-Supertec",
"1:26.438",
"1.634"
],
[
"9",
"22",
"Jacques Villeneuve",
"BAR-Supertec",
"1:26.719",
"1.915"
],
[
"10",
"11",
"Jean Alesi",
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"1:26.761",
"1.957"
],
[
"11",
"17",
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[
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],
[
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"Williams-Supertec",
"1:27.223",
"2.419"
],
[
"14",
"19",
"Jarno Trulli",
"Prost-Peugeot",
"1:27.227",
"2.423"
],
[
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"18",
"Olivier Panis",
"Prost-Peugeot",
"1:27.543",
"2.739"
],
[
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"1:27.699",
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],
[
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"9",
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"Benetton-Playlife",
"1:27.857",
"3.053"
],
[
"18",
"10",
"Alexander Wurz",
"Benetton-Playlife",
"1:28.010",
"3.206"
],
[
"19",
"15",
"Toranosuke Takagi",
"Arrows",
"1:28.037",
"3.233"
],
[
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"14",
"Pedro de la Rosa",
"Arrows",
"1:28.148",
"3.344"
],
[
"21",
"20",
"Luca Badoer",
"Minardi-Ford",
"1:28.695",
"3.891"
],
[
"22",
"21",
"Marc Gene",
"Minardi-Ford",
"1:28.772",
"3.968"
]
] |
[
"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",
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"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 | 8 | heinz-harald frentzen | jordan-mugen-honda | 1:25.991 | 1.187 row 6 : 6 | 7 | damon hill | jordan-mugen-honda | 1:26.099 | 1.295 row 7 : 7 | 16 | rubens barrichello | stewart-ford | 1:26.194 | 1.39 row 8 : 8 | 6 | ralf schumacher | williams-supertec | 1:26.438 | 1.634 row 9 : 9 | 22 | jacques villeneuve | bar-supertec | 1:26.719 | 1.915 row 10 : 10 | 11 | jean alesi | sauber-petronas | 1:26.761 | 1.957 row 11 : 11 | 17 | johnny herbert | stewart-ford | 1:26.873 | 2.069 row 12 : 12 | 12 | pedro diniz | sauber-petronas | 1:27.196 | 2.392 row 13 : 13 | 5 | alessandro zanardi | williams-supertec | 1:27.223 | 2.419 row 14 : 14 | 19 | jarno trulli | prost-peugeot | 1:27.227 | 2.423 row 15 : 15 | 18 | olivier panis | prost-peugeot | 1:27.543 | 2.739 row 16 : 16 | 23 | ricardo zonta | bar-supertec | 1:27.699 | 2.895 row 17 : 17 | 9 | giancarlo fisichella | benetton-playlife | 1:27.857 | 3.053 row 18 : 18 | 10 | alexander wurz | benetton-playlife | 1:28.010 | 3.206 row 19 : 19 | 15 | toranosuke takagi | arrows | 1:28.037 | 3.233 row 20 : 20 | 14 | pedro de la rosa | arrows | 1:28.148 | 3.344 row 21 : 21 | 20 | luca badoer | minardi-ford | 1:28.695 | 3.891 row 22 : 22 | 21 | marc gene | minardi-ford | 1:28.772 | 3.968
|
table_csv/202_78.csv
| 3 |
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[
"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",
"Eddie Irvine",
"Ferrari",
"1:25.677",
"0.873"
],
[
"5",
"8",
"Heinz-Harald Frentzen",
"Jordan-Mugen-Honda",
"1:25.991",
"1.187"
],
[
"6",
"7",
"Damon Hill",
"Jordan-Mugen-Honda",
"1:26.099",
"1.295"
],
[
"7",
"16",
"Rubens Barrichello",
"Stewart-Ford",
"1:26.194",
"1.39"
],
[
"8",
"6",
"Ralf Schumacher",
"Williams-Supertec",
"1:26.438",
"1.634"
],
[
"9",
"22",
"Jacques Villeneuve",
"BAR-Supertec",
"1:26.719",
"1.915"
],
[
"10",
"11",
"Jean Alesi",
"Sauber-Petronas",
"1:26.761",
"1.957"
],
[
"11",
"17",
"Johnny Herbert",
"Stewart-Ford",
"1:26.873",
"2.069"
],
[
"12",
"12",
"Pedro Diniz",
"Sauber-Petronas",
"1:27.196",
"2.392"
],
[
"13",
"5",
"Alessandro Zanardi",
"Williams-Supertec",
"1:27.223",
"2.419"
],
[
"14",
"19",
"Jarno Trulli",
"Prost-Peugeot",
"1:27.227",
"2.423"
],
[
"15",
"18",
"Olivier Panis",
"Prost-Peugeot",
"1:27.543",
"2.739"
],
[
"16",
"23",
"Ricardo Zonta",
"BAR-Supertec",
"1:27.699",
"2.895"
],
[
"17",
"9",
"Giancarlo Fisichella",
"Benetton-Playlife",
"1:27.857",
"3.053"
],
[
"18",
"10",
"Alexander Wurz",
"Benetton-Playlife",
"1:28.010",
"3.206"
],
[
"19",
"15",
"Toranosuke Takagi",
"Arrows",
"1:28.037",
"3.233"
],
[
"20",
"14",
"Pedro de la Rosa",
"Arrows",
"1:28.148",
"3.344"
],
[
"21",
"20",
"Luca Badoer",
"Minardi-Ford",
"1:28.695",
"3.891"
],
[
"22",
"21",
"Marc Gene",
"Minardi-Ford",
"1:28.772",
"3.968"
]
] |
[
"",
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"+0.873",
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"+1.295",
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"+1.634",
"+1.915",
"+1.957",
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"+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 | 8 | heinz-harald frentzen | jordan-mugen-honda | 1:25.991 | 1.187 row 6 : 6 | 7 | damon hill | jordan-mugen-honda | 1:26.099 | 1.295 row 7 : 7 | 16 | rubens barrichello | stewart-ford | 1:26.194 | 1.39 row 8 : 8 | 6 | ralf schumacher | williams-supertec | 1:26.438 | 1.634 row 9 : 9 | 22 | jacques villeneuve | bar-supertec | 1:26.719 | 1.915 row 10 : 10 | 11 | jean alesi | sauber-petronas | 1:26.761 | 1.957 row 11 : 11 | 17 | johnny herbert | stewart-ford | 1:26.873 | 2.069 row 12 : 12 | 12 | pedro diniz | sauber-petronas | 1:27.196 | 2.392 row 13 : 13 | 5 | alessandro zanardi | williams-supertec | 1:27.223 | 2.419 row 14 : 14 | 19 | jarno trulli | prost-peugeot | 1:27.227 | 2.423 row 15 : 15 | 18 | olivier panis | prost-peugeot | 1:27.543 | 2.739 row 16 : 16 | 23 | ricardo zonta | bar-supertec | 1:27.699 | 2.895 row 17 : 17 | 9 | giancarlo fisichella | benetton-playlife | 1:27.857 | 3.053 row 18 : 18 | 10 | alexander wurz | benetton-playlife | 1:28.010 | 3.206 row 19 : 19 | 15 | toranosuke takagi | arrows | 1:28.037 | 3.233 row 20 : 20 | 14 | pedro de la rosa | arrows | 1:28.148 | 3.344 row 21 : 21 | 20 | luca badoer | minardi-ford | 1:28.695 | 3.891 row 22 : 22 | 21 | marc gene | minardi-ford | 1:28.772 | 3.968
|
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",
"Eddie Irvine",
"Ferrari",
"1:25.677",
"0.873"
],
[
"5",
"8",
"Heinz-Harald Frentzen",
"Jordan-Mugen-Honda",
"1:25.991",
"1.187"
],
[
"6",
"7",
"Damon Hill",
"Jordan-Mugen-Honda",
"1:26.099",
"1.295"
],
[
"7",
"16",
"Rubens Barrichello",
"Stewart-Ford",
"1:26.194",
"1.39"
],
[
"8",
"6",
"Ralf Schumacher",
"Williams-Supertec",
"1:26.438",
"1.634"
],
[
"9",
"22",
"Jacques Villeneuve",
"BAR-Supertec",
"1:26.719",
"1.915"
],
[
"10",
"11",
"Jean Alesi",
"Sauber-Petronas",
"1:26.761",
"1.957"
],
[
"11",
"17",
"Johnny Herbert",
"Stewart-Ford",
"1:26.873",
"2.069"
],
[
"12",
"12",
"Pedro Diniz",
"Sauber-Petronas",
"1:27.196",
"2.392"
],
[
"13",
"5",
"Alessandro Zanardi",
"Williams-Supertec",
"1:27.223",
"2.419"
],
[
"14",
"19",
"Jarno Trulli",
"Prost-Peugeot",
"1:27.227",
"2.423"
],
[
"15",
"18",
"Olivier Panis",
"Prost-Peugeot",
"1:27.543",
"2.739"
],
[
"16",
"23",
"Ricardo Zonta",
"BAR-Supertec",
"1:27.699",
"2.895"
],
[
"17",
"9",
"Giancarlo Fisichella",
"Benetton-Playlife",
"1:27.857",
"3.053"
],
[
"18",
"10",
"Alexander Wurz",
"Benetton-Playlife",
"1:28.010",
"3.206"
],
[
"19",
"15",
"Toranosuke Takagi",
"Arrows",
"1:28.037",
"3.233"
],
[
"20",
"14",
"Pedro de la Rosa",
"Arrows",
"1:28.148",
"3.344"
],
[
"21",
"20",
"Luca Badoer",
"Minardi-Ford",
"1:28.695",
"3.891"
],
[
"22",
"21",
"Marc Gene",
"Minardi-Ford",
"1:28.772",
"3.968"
]
] |
[
"+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 | 8 | heinz-harald frentzen | jordan-mugen-honda | 1:25.991 | 1.187 row 6 : 6 | 7 | damon hill | jordan-mugen-honda | 1:26.099 | 1.295 row 7 : 7 | 16 | rubens barrichello | stewart-ford | 1:26.194 | 1.39 row 8 : 8 | 6 | ralf schumacher | williams-supertec | 1:26.438 | 1.634 row 9 : 9 | 22 | jacques villeneuve | bar-supertec | 1:26.719 | 1.915 row 10 : 10 | 11 | jean alesi | sauber-petronas | 1:26.761 | 1.957 row 11 : 11 | 17 | johnny herbert | stewart-ford | 1:26.873 | 2.069 row 12 : 12 | 12 | pedro diniz | sauber-petronas | 1:27.196 | 2.392 row 13 : 13 | 5 | alessandro zanardi | williams-supertec | 1:27.223 | 2.419 row 14 : 14 | 19 | jarno trulli | prost-peugeot | 1:27.227 | 2.423 row 15 : 15 | 18 | olivier panis | prost-peugeot | 1:27.543 | 2.739 row 16 : 16 | 23 | ricardo zonta | bar-supertec | 1:27.699 | 2.895 row 17 : 17 | 9 | giancarlo fisichella | benetton-playlife | 1:27.857 | 3.053 row 18 : 18 | 10 | alexander wurz | benetton-playlife | 1:28.010 | 3.206 row 19 : 19 | 15 | toranosuke takagi | arrows | 1:28.037 | 3.233 row 20 : 20 | 14 | pedro de la rosa | arrows | 1:28.148 | 3.344 row 21 : 21 | 20 | luca badoer | minardi-ford | 1:28.695 | 3.891 row 22 : 22 | 21 | marc gene | minardi-ford | 1:28.772 | 3.968
|
table_csv/202_78.csv
| 0 |
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}
|
[
"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",
"Eddie Irvine",
"Ferrari",
"1:25.677",
"0.873"
],
[
"5",
"8",
"Heinz-Harald Frentzen",
"Jordan-Mugen-Honda",
"1:25.991",
"1.187"
],
[
"6",
"7",
"Damon Hill",
"Jordan-Mugen-Honda",
"1:26.099",
"1.295"
],
[
"7",
"16",
"Rubens Barrichello",
"Stewart-Ford",
"1:26.194",
"1.39"
],
[
"8",
"6",
"Ralf Schumacher",
"Williams-Supertec",
"1:26.438",
"1.634"
],
[
"9",
"22",
"Jacques Villeneuve",
"BAR-Supertec",
"1:26.719",
"1.915"
],
[
"10",
"11",
"Jean Alesi",
"Sauber-Petronas",
"1:26.761",
"1.957"
],
[
"11",
"17",
"Johnny Herbert",
"Stewart-Ford",
"1:26.873",
"2.069"
],
[
"12",
"12",
"Pedro Diniz",
"Sauber-Petronas",
"1:27.196",
"2.392"
],
[
"13",
"5",
"Alessandro Zanardi",
"Williams-Supertec",
"1:27.223",
"2.419"
],
[
"14",
"19",
"Jarno Trulli",
"Prost-Peugeot",
"1:27.227",
"2.423"
],
[
"15",
"18",
"Olivier Panis",
"Prost-Peugeot",
"1:27.543",
"2.739"
],
[
"16",
"23",
"Ricardo Zonta",
"BAR-Supertec",
"1:27.699",
"2.895"
],
[
"17",
"9",
"Giancarlo Fisichella",
"Benetton-Playlife",
"1:27.857",
"3.053"
],
[
"18",
"10",
"Alexander Wurz",
"Benetton-Playlife",
"1:28.010",
"3.206"
],
[
"19",
"15",
"Toranosuke Takagi",
"Arrows",
"1:28.037",
"3.233"
],
[
"20",
"14",
"Pedro de la Rosa",
"Arrows",
"1:28.148",
"3.344"
],
[
"21",
"20",
"Luca Badoer",
"Minardi-Ford",
"1:28.695",
"3.891"
],
[
"22",
"21",
"Marc Gene",
"Minardi-Ford",
"1:28.772",
"3.968"
]
] |
[
"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 | 8 | heinz-harald frentzen | jordan-mugen-honda | 1:25.991 | 1.187 row 6 : 6 | 7 | damon hill | jordan-mugen-honda | 1:26.099 | 1.295 row 7 : 7 | 16 | rubens barrichello | stewart-ford | 1:26.194 | 1.39 row 8 : 8 | 6 | ralf schumacher | williams-supertec | 1:26.438 | 1.634 row 9 : 9 | 22 | jacques villeneuve | bar-supertec | 1:26.719 | 1.915 row 10 : 10 | 11 | jean alesi | sauber-petronas | 1:26.761 | 1.957 row 11 : 11 | 17 | johnny herbert | stewart-ford | 1:26.873 | 2.069 row 12 : 12 | 12 | pedro diniz | sauber-petronas | 1:27.196 | 2.392 row 13 : 13 | 5 | alessandro zanardi | williams-supertec | 1:27.223 | 2.419 row 14 : 14 | 19 | jarno trulli | prost-peugeot | 1:27.227 | 2.423 row 15 : 15 | 18 | olivier panis | prost-peugeot | 1:27.543 | 2.739 row 16 : 16 | 23 | ricardo zonta | bar-supertec | 1:27.699 | 2.895 row 17 : 17 | 9 | giancarlo fisichella | benetton-playlife | 1:27.857 | 3.053 row 18 : 18 | 10 | alexander wurz | benetton-playlife | 1:28.010 | 3.206 row 19 : 19 | 15 | toranosuke takagi | arrows | 1:28.037 | 3.233 row 20 : 20 | 14 | pedro de la rosa | arrows | 1:28.148 | 3.344 row 21 : 21 | 20 | luca badoer | minardi-ford | 1:28.695 | 3.891 row 22 : 22 | 21 | marc gene | minardi-ford | 1:28.772 | 3.968
|
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",
"Eddie Irvine",
"Ferrari",
"1:25.677",
"0.873"
],
[
"5",
"8",
"Heinz-Harald Frentzen",
"Jordan-Mugen-Honda",
"1:25.991",
"1.187"
],
[
"6",
"7",
"Damon Hill",
"Jordan-Mugen-Honda",
"1:26.099",
"1.295"
],
[
"7",
"16",
"Rubens Barrichello",
"Stewart-Ford",
"1:26.194",
"1.39"
],
[
"8",
"6",
"Ralf Schumacher",
"Williams-Supertec",
"1:26.438",
"1.634"
],
[
"9",
"22",
"Jacques Villeneuve",
"BAR-Supertec",
"1:26.719",
"1.915"
],
[
"10",
"11",
"Jean Alesi",
"Sauber-Petronas",
"1:26.761",
"1.957"
],
[
"11",
"17",
"Johnny Herbert",
"Stewart-Ford",
"1:26.873",
"2.069"
],
[
"12",
"12",
"Pedro Diniz",
"Sauber-Petronas",
"1:27.196",
"2.392"
],
[
"13",
"5",
"Alessandro Zanardi",
"Williams-Supertec",
"1:27.223",
"2.419"
],
[
"14",
"19",
"Jarno Trulli",
"Prost-Peugeot",
"1:27.227",
"2.423"
],
[
"15",
"18",
"Olivier Panis",
"Prost-Peugeot",
"1:27.543",
"2.739"
],
[
"16",
"23",
"Ricardo Zonta",
"BAR-Supertec",
"1:27.699",
"2.895"
],
[
"17",
"9",
"Giancarlo Fisichella",
"Benetton-Playlife",
"1:27.857",
"3.053"
],
[
"18",
"10",
"Alexander Wurz",
"Benetton-Playlife",
"1:28.010",
"3.206"
],
[
"19",
"15",
"Toranosuke Takagi",
"Arrows",
"1:28.037",
"3.233"
],
[
"20",
"14",
"Pedro de la Rosa",
"Arrows",
"1:28.148",
"3.344"
],
[
"21",
"20",
"Luca Badoer",
"Minardi-Ford",
"1:28.695",
"3.891"
],
[
"22",
"21",
"Marc Gene",
"Minardi-Ford",
"1:28.772",
"3.968"
]
] |
[
"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 | 8 | heinz-harald frentzen | jordan-mugen-honda | 1:25.991 | 1.187 row 6 : 6 | 7 | damon hill | jordan-mugen-honda | 1:26.099 | 1.295 row 7 : 7 | 16 | rubens barrichello | stewart-ford | 1:26.194 | 1.39 row 8 : 8 | 6 | ralf schumacher | williams-supertec | 1:26.438 | 1.634 row 9 : 9 | 22 | jacques villeneuve | bar-supertec | 1:26.719 | 1.915 row 10 : 10 | 11 | jean alesi | sauber-petronas | 1:26.761 | 1.957 row 11 : 11 | 17 | johnny herbert | stewart-ford | 1:26.873 | 2.069 row 12 : 12 | 12 | pedro diniz | sauber-petronas | 1:27.196 | 2.392 row 13 : 13 | 5 | alessandro zanardi | williams-supertec | 1:27.223 | 2.419 row 14 : 14 | 19 | jarno trulli | prost-peugeot | 1:27.227 | 2.423 row 15 : 15 | 18 | olivier panis | prost-peugeot | 1:27.543 | 2.739 row 16 : 16 | 23 | ricardo zonta | bar-supertec | 1:27.699 | 2.895 row 17 : 17 | 9 | giancarlo fisichella | benetton-playlife | 1:27.857 | 3.053 row 18 : 18 | 10 | alexander wurz | benetton-playlife | 1:28.010 | 3.206 row 19 : 19 | 15 | toranosuke takagi | arrows | 1:28.037 | 3.233 row 20 : 20 | 14 | pedro de la rosa | arrows | 1:28.148 | 3.344 row 21 : 21 | 20 | luca badoer | minardi-ford | 1:28.695 | 3.891 row 22 : 22 | 21 | marc gene | minardi-ford | 1:28.772 | 3.968
|
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",
"Eddie Irvine",
"Ferrari",
"1:25.677",
"0.873"
],
[
"5",
"8",
"Heinz-Harald Frentzen",
"Jordan-Mugen-Honda",
"1:25.991",
"1.187"
],
[
"6",
"7",
"Damon Hill",
"Jordan-Mugen-Honda",
"1:26.099",
"1.295"
],
[
"7",
"16",
"Rubens Barrichello",
"Stewart-Ford",
"1:26.194",
"1.39"
],
[
"8",
"6",
"Ralf Schumacher",
"Williams-Supertec",
"1:26.438",
"1.634"
],
[
"9",
"22",
"Jacques Villeneuve",
"BAR-Supertec",
"1:26.719",
"1.915"
],
[
"10",
"11",
"Jean Alesi",
"Sauber-Petronas",
"1:26.761",
"1.957"
],
[
"11",
"17",
"Johnny Herbert",
"Stewart-Ford",
"1:26.873",
"2.069"
],
[
"12",
"12",
"Pedro Diniz",
"Sauber-Petronas",
"1:27.196",
"2.392"
],
[
"13",
"5",
"Alessandro Zanardi",
"Williams-Supertec",
"1:27.223",
"2.419"
],
[
"14",
"19",
"Jarno Trulli",
"Prost-Peugeot",
"1:27.227",
"2.423"
],
[
"15",
"18",
"Olivier Panis",
"Prost-Peugeot",
"1:27.543",
"2.739"
],
[
"16",
"23",
"Ricardo Zonta",
"BAR-Supertec",
"1:27.699",
"2.895"
],
[
"17",
"9",
"Giancarlo Fisichella",
"Benetton-Playlife",
"1:27.857",
"3.053"
],
[
"18",
"10",
"Alexander Wurz",
"Benetton-Playlife",
"1:28.010",
"3.206"
],
[
"19",
"15",
"Toranosuke Takagi",
"Arrows",
"1:28.037",
"3.233"
],
[
"20",
"14",
"Pedro de la Rosa",
"Arrows",
"1:28.148",
"3.344"
],
[
"21",
"20",
"Luca Badoer",
"Minardi-Ford",
"1:28.695",
"3.891"
],
[
"22",
"21",
"Marc Gene",
"Minardi-Ford",
"1:28.772",
"3.968"
]
] |
[
"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 | 8 | heinz-harald frentzen | jordan-mugen-honda | 1:25.991 | 1.187 row 6 : 6 | 7 | damon hill | jordan-mugen-honda | 1:26.099 | 1.295 row 7 : 7 | 16 | rubens barrichello | stewart-ford | 1:26.194 | 1.39 row 8 : 8 | 6 | ralf schumacher | williams-supertec | 1:26.438 | 1.634 row 9 : 9 | 22 | jacques villeneuve | bar-supertec | 1:26.719 | 1.915 row 10 : 10 | 11 | jean alesi | sauber-petronas | 1:26.761 | 1.957 row 11 : 11 | 17 | johnny herbert | stewart-ford | 1:26.873 | 2.069 row 12 : 12 | 12 | pedro diniz | sauber-petronas | 1:27.196 | 2.392 row 13 : 13 | 5 | alessandro zanardi | williams-supertec | 1:27.223 | 2.419 row 14 : 14 | 19 | jarno trulli | prost-peugeot | 1:27.227 | 2.423 row 15 : 15 | 18 | olivier panis | prost-peugeot | 1:27.543 | 2.739 row 16 : 16 | 23 | ricardo zonta | bar-supertec | 1:27.699 | 2.895 row 17 : 17 | 9 | giancarlo fisichella | benetton-playlife | 1:27.857 | 3.053 row 18 : 18 | 10 | alexander wurz | benetton-playlife | 1:28.010 | 3.206 row 19 : 19 | 15 | toranosuke takagi | arrows | 1:28.037 | 3.233 row 20 : 20 | 14 | pedro de la rosa | arrows | 1:28.148 | 3.344 row 21 : 21 | 20 | luca badoer | minardi-ford | 1:28.695 | 3.891 row 22 : 22 | 21 | marc gene | minardi-ford | 1:28.772 | 3.968
|
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",
"Eddie Irvine",
"Ferrari",
"1:25.677",
"0.873"
],
[
"5",
"8",
"Heinz-Harald Frentzen",
"Jordan-Mugen-Honda",
"1:25.991",
"1.187"
],
[
"6",
"7",
"Damon Hill",
"Jordan-Mugen-Honda",
"1:26.099",
"1.295"
],
[
"7",
"16",
"Rubens Barrichello",
"Stewart-Ford",
"1:26.194",
"1.39"
],
[
"8",
"6",
"Ralf Schumacher",
"Williams-Supertec",
"1:26.438",
"1.634"
],
[
"9",
"22",
"Jacques Villeneuve",
"BAR-Supertec",
"1:26.719",
"1.915"
],
[
"10",
"11",
"Jean Alesi",
"Sauber-Petronas",
"1:26.761",
"1.957"
],
[
"11",
"17",
"Johnny Herbert",
"Stewart-Ford",
"1:26.873",
"2.069"
],
[
"12",
"12",
"Pedro Diniz",
"Sauber-Petronas",
"1:27.196",
"2.392"
],
[
"13",
"5",
"Alessandro Zanardi",
"Williams-Supertec",
"1:27.223",
"2.419"
],
[
"14",
"19",
"Jarno Trulli",
"Prost-Peugeot",
"1:27.227",
"2.423"
],
[
"15",
"18",
"Olivier Panis",
"Prost-Peugeot",
"1:27.543",
"2.739"
],
[
"16",
"23",
"Ricardo Zonta",
"BAR-Supertec",
"1:27.699",
"2.895"
],
[
"17",
"9",
"Giancarlo Fisichella",
"Benetton-Playlife",
"1:27.857",
"3.053"
],
[
"18",
"10",
"Alexander Wurz",
"Benetton-Playlife",
"1:28.010",
"3.206"
],
[
"19",
"15",
"Toranosuke Takagi",
"Arrows",
"1:28.037",
"3.233"
],
[
"20",
"14",
"Pedro de la Rosa",
"Arrows",
"1:28.148",
"3.344"
],
[
"21",
"20",
"Luca Badoer",
"Minardi-Ford",
"1:28.695",
"3.891"
],
[
"22",
"21",
"Marc Gene",
"Minardi-Ford",
"1:28.772",
"3.968"
]
] |
[
"+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 : 5 | aug 8 | vs. bc lions | 29-16 | win | 4-1 row 6 : 6 | aug 20 | at calgary stampeders | 35-4 | win | 5-1 row 7 : 7 | aug 28 | vs. ottawa rough riders | 27-20 | win | 6-1 row 8 : 8 | sept 5 | at saskatchewan roughriders | 36-35 | win | 7-1 row 9 : 9 | sept 11 | vs. calgary stampeders | 15-11 | loss | 7-2 row 10 : 10 | sept 18 | at ottawa rough riders | 38-28 | loss | 7-3 row 11 : 11 | sept 25 | vs. montreal concordes | 19-16 | win | 8-3 row 12 : 12 | oct 2 | at bc lions | 29-19 | win | 9-3 row 13 : 13 | oct 11 | vs. toronto argonauts | 39-35 | win | 10-3 row 14 : 14 | oct 17 | at toronto argonauts | 29-16 | win | 11-3 row 15 : 15 | oct 23 | vs. edmonton eskimos | 33-17 | loss | 11-4 row 16 : 16 | nov 7 | at hamilton tiger-cats | 24-21 | loss | 11-5
|
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 1",
"at Edmonton Eskimos",
"32-26",
"Win",
"3-1"
],
[
"5",
"Aug 8",
"vs. BC Lions",
"29-16",
"Win",
"4-1"
],
[
"6",
"Aug 20",
"at Calgary Stampeders",
"35-4",
"Win",
"5-1"
],
[
"7",
"Aug 28",
"vs. Ottawa Rough Riders",
"27-20",
"Win",
"6-1"
],
[
"8",
"Sept 5",
"at Saskatchewan Roughriders",
"36-35",
"Win",
"7-1"
],
[
"9",
"Sept 11",
"vs. Calgary Stampeders",
"15-11",
"Loss",
"7-2"
],
[
"10",
"Sept 18",
"at Ottawa Rough Riders",
"38-28",
"Loss",
"7-3"
],
[
"11",
"Sept 25",
"vs. Montreal Concordes",
"19-16",
"Win",
"8-3"
],
[
"12",
"Oct 2",
"at BC Lions",
"29-19",
"Win",
"9-3"
],
[
"13",
"Oct 11",
"vs. Toronto Argonauts",
"39-35",
"Win",
"10-3"
],
[
"14",
"Oct 17",
"at Toronto Argonauts",
"29-16",
"Win",
"11-3"
],
[
"15",
"Oct 23",
"vs. Edmonton Eskimos",
"33-17",
"Loss",
"11-4"
],
[
"16",
"Nov 7",
"at Hamilton Tiger-Cats",
"24-21",
"Loss",
"11-5"
]
] |
[
"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 : 5 | aug 8 | vs. bc lions | 29-16 | win | 4-1 row 6 : 6 | aug 20 | at calgary stampeders | 35-4 | win | 5-1 row 7 : 7 | aug 28 | vs. ottawa rough riders | 27-20 | win | 6-1 row 8 : 8 | sept 5 | at saskatchewan roughriders | 36-35 | win | 7-1 row 9 : 9 | sept 11 | vs. calgary stampeders | 15-11 | loss | 7-2 row 10 : 10 | sept 18 | at ottawa rough riders | 38-28 | loss | 7-3 row 11 : 11 | sept 25 | vs. montreal concordes | 19-16 | win | 8-3 row 12 : 12 | oct 2 | at bc lions | 29-19 | win | 9-3 row 13 : 13 | oct 11 | vs. toronto argonauts | 39-35 | win | 10-3 row 14 : 14 | oct 17 | at toronto argonauts | 29-16 | win | 11-3 row 15 : 15 | oct 23 | vs. edmonton eskimos | 33-17 | loss | 11-4 row 16 : 16 | nov 7 | at hamilton tiger-cats | 24-21 | loss | 11-5
|
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 1",
"at Edmonton Eskimos",
"32-26",
"Win",
"3-1"
],
[
"5",
"Aug 8",
"vs. BC Lions",
"29-16",
"Win",
"4-1"
],
[
"6",
"Aug 20",
"at Calgary Stampeders",
"35-4",
"Win",
"5-1"
],
[
"7",
"Aug 28",
"vs. Ottawa Rough Riders",
"27-20",
"Win",
"6-1"
],
[
"8",
"Sept 5",
"at Saskatchewan Roughriders",
"36-35",
"Win",
"7-1"
],
[
"9",
"Sept 11",
"vs. Calgary Stampeders",
"15-11",
"Loss",
"7-2"
],
[
"10",
"Sept 18",
"at Ottawa Rough Riders",
"38-28",
"Loss",
"7-3"
],
[
"11",
"Sept 25",
"vs. Montreal Concordes",
"19-16",
"Win",
"8-3"
],
[
"12",
"Oct 2",
"at BC Lions",
"29-19",
"Win",
"9-3"
],
[
"13",
"Oct 11",
"vs. Toronto Argonauts",
"39-35",
"Win",
"10-3"
],
[
"14",
"Oct 17",
"at Toronto Argonauts",
"29-16",
"Win",
"11-3"
],
[
"15",
"Oct 23",
"vs. Edmonton Eskimos",
"33-17",
"Loss",
"11-4"
],
[
"16",
"Nov 7",
"at Hamilton Tiger-Cats",
"24-21",
"Loss",
"11-5"
]
] |
[
"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 : 5 | aug 8 | vs. bc lions | 29-16 | win | 4-1 row 6 : 6 | aug 20 | at calgary stampeders | 35-4 | win | 5-1 row 7 : 7 | aug 28 | vs. ottawa rough riders | 27-20 | win | 6-1 row 8 : 8 | sept 5 | at saskatchewan roughriders | 36-35 | win | 7-1 row 9 : 9 | sept 11 | vs. calgary stampeders | 15-11 | loss | 7-2 row 10 : 10 | sept 18 | at ottawa rough riders | 38-28 | loss | 7-3 row 11 : 11 | sept 25 | vs. montreal concordes | 19-16 | win | 8-3 row 12 : 12 | oct 2 | at bc lions | 29-19 | win | 9-3 row 13 : 13 | oct 11 | vs. toronto argonauts | 39-35 | win | 10-3 row 14 : 14 | oct 17 | at toronto argonauts | 29-16 | win | 11-3 row 15 : 15 | oct 23 | vs. edmonton eskimos | 33-17 | loss | 11-4 row 16 : 16 | nov 7 | at hamilton tiger-cats | 24-21 | loss | 11-5
|
table_csv/204_227.csv
| 2 |
{
"column_index": [
1
],
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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 1",
"at Edmonton Eskimos",
"32-26",
"Win",
"3-1"
],
[
"5",
"Aug 8",
"vs. BC Lions",
"29-16",
"Win",
"4-1"
],
[
"6",
"Aug 20",
"at Calgary Stampeders",
"35-4",
"Win",
"5-1"
],
[
"7",
"Aug 28",
"vs. Ottawa Rough Riders",
"27-20",
"Win",
"6-1"
],
[
"8",
"Sept 5",
"at Saskatchewan Roughriders",
"36-35",
"Win",
"7-1"
],
[
"9",
"Sept 11",
"vs. Calgary Stampeders",
"15-11",
"Loss",
"7-2"
],
[
"10",
"Sept 18",
"at Ottawa Rough Riders",
"38-28",
"Loss",
"7-3"
],
[
"11",
"Sept 25",
"vs. Montreal Concordes",
"19-16",
"Win",
"8-3"
],
[
"12",
"Oct 2",
"at BC Lions",
"29-19",
"Win",
"9-3"
],
[
"13",
"Oct 11",
"vs. Toronto Argonauts",
"39-35",
"Win",
"10-3"
],
[
"14",
"Oct 17",
"at Toronto Argonauts",
"29-16",
"Win",
"11-3"
],
[
"15",
"Oct 23",
"vs. Edmonton Eskimos",
"33-17",
"Loss",
"11-4"
],
[
"16",
"Nov 7",
"at Hamilton Tiger-Cats",
"24-21",
"Loss",
"11-5"
]
] |
[
"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 : 5 | aug 8 | vs. bc lions | 29-16 | win | 4-1 row 6 : 6 | aug 20 | at calgary stampeders | 35-4 | win | 5-1 row 7 : 7 | aug 28 | vs. ottawa rough riders | 27-20 | win | 6-1 row 8 : 8 | sept 5 | at saskatchewan roughriders | 36-35 | win | 7-1 row 9 : 9 | sept 11 | vs. calgary stampeders | 15-11 | loss | 7-2 row 10 : 10 | sept 18 | at ottawa rough riders | 38-28 | loss | 7-3 row 11 : 11 | sept 25 | vs. montreal concordes | 19-16 | win | 8-3 row 12 : 12 | oct 2 | at bc lions | 29-19 | win | 9-3 row 13 : 13 | oct 11 | vs. toronto argonauts | 39-35 | win | 10-3 row 14 : 14 | oct 17 | at toronto argonauts | 29-16 | win | 11-3 row 15 : 15 | oct 23 | vs. edmonton eskimos | 33-17 | loss | 11-4 row 16 : 16 | nov 7 | at hamilton tiger-cats | 24-21 | loss | 11-5
|
table_csv/204_227.csv
| 0 |
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}
|
[
"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 1",
"at Edmonton Eskimos",
"32-26",
"Win",
"3-1"
],
[
"5",
"Aug 8",
"vs. BC Lions",
"29-16",
"Win",
"4-1"
],
[
"6",
"Aug 20",
"at Calgary Stampeders",
"35-4",
"Win",
"5-1"
],
[
"7",
"Aug 28",
"vs. Ottawa Rough Riders",
"27-20",
"Win",
"6-1"
],
[
"8",
"Sept 5",
"at Saskatchewan Roughriders",
"36-35",
"Win",
"7-1"
],
[
"9",
"Sept 11",
"vs. Calgary Stampeders",
"15-11",
"Loss",
"7-2"
],
[
"10",
"Sept 18",
"at Ottawa Rough Riders",
"38-28",
"Loss",
"7-3"
],
[
"11",
"Sept 25",
"vs. Montreal Concordes",
"19-16",
"Win",
"8-3"
],
[
"12",
"Oct 2",
"at BC Lions",
"29-19",
"Win",
"9-3"
],
[
"13",
"Oct 11",
"vs. Toronto Argonauts",
"39-35",
"Win",
"10-3"
],
[
"14",
"Oct 17",
"at Toronto Argonauts",
"29-16",
"Win",
"11-3"
],
[
"15",
"Oct 23",
"vs. Edmonton Eskimos",
"33-17",
"Loss",
"11-4"
],
[
"16",
"Nov 7",
"at Hamilton Tiger-Cats",
"24-21",
"Loss",
"11-5"
]
] |
[
"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 : 5 | aug 8 | vs. bc lions | 29-16 | win | 4-1 row 6 : 6 | aug 20 | at calgary stampeders | 35-4 | win | 5-1 row 7 : 7 | aug 28 | vs. ottawa rough riders | 27-20 | win | 6-1 row 8 : 8 | sept 5 | at saskatchewan roughriders | 36-35 | win | 7-1 row 9 : 9 | sept 11 | vs. calgary stampeders | 15-11 | loss | 7-2 row 10 : 10 | sept 18 | at ottawa rough riders | 38-28 | loss | 7-3 row 11 : 11 | sept 25 | vs. montreal concordes | 19-16 | win | 8-3 row 12 : 12 | oct 2 | at bc lions | 29-19 | win | 9-3 row 13 : 13 | oct 11 | vs. toronto argonauts | 39-35 | win | 10-3 row 14 : 14 | oct 17 | at toronto argonauts | 29-16 | win | 11-3 row 15 : 15 | oct 23 | vs. edmonton eskimos | 33-17 | loss | 11-4 row 16 : 16 | nov 7 | at hamilton tiger-cats | 24-21 | loss | 11-5
|
table_csv/204_227.csv
| 1 |
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1,
1,
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1,
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1,
1,
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10,
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13,
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]
}
|
[
"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 1",
"at Edmonton Eskimos",
"32-26",
"Win",
"3-1"
],
[
"5",
"Aug 8",
"vs. BC Lions",
"29-16",
"Win",
"4-1"
],
[
"6",
"Aug 20",
"at Calgary Stampeders",
"35-4",
"Win",
"5-1"
],
[
"7",
"Aug 28",
"vs. Ottawa Rough Riders",
"27-20",
"Win",
"6-1"
],
[
"8",
"Sept 5",
"at Saskatchewan Roughriders",
"36-35",
"Win",
"7-1"
],
[
"9",
"Sept 11",
"vs. Calgary Stampeders",
"15-11",
"Loss",
"7-2"
],
[
"10",
"Sept 18",
"at Ottawa Rough Riders",
"38-28",
"Loss",
"7-3"
],
[
"11",
"Sept 25",
"vs. Montreal Concordes",
"19-16",
"Win",
"8-3"
],
[
"12",
"Oct 2",
"at BC Lions",
"29-19",
"Win",
"9-3"
],
[
"13",
"Oct 11",
"vs. Toronto Argonauts",
"39-35",
"Win",
"10-3"
],
[
"14",
"Oct 17",
"at Toronto Argonauts",
"29-16",
"Win",
"11-3"
],
[
"15",
"Oct 23",
"vs. Edmonton Eskimos",
"33-17",
"Loss",
"11-4"
],
[
"16",
"Nov 7",
"at Hamilton Tiger-Cats",
"24-21",
"Loss",
"11-5"
]
] |
[
"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 : 5 | aug 8 | vs. bc lions | 29-16 | win | 4-1 row 6 : 6 | aug 20 | at calgary stampeders | 35-4 | win | 5-1 row 7 : 7 | aug 28 | vs. ottawa rough riders | 27-20 | win | 6-1 row 8 : 8 | sept 5 | at saskatchewan roughriders | 36-35 | win | 7-1 row 9 : 9 | sept 11 | vs. calgary stampeders | 15-11 | loss | 7-2 row 10 : 10 | sept 18 | at ottawa rough riders | 38-28 | loss | 7-3 row 11 : 11 | sept 25 | vs. montreal concordes | 19-16 | win | 8-3 row 12 : 12 | oct 2 | at bc lions | 29-19 | win | 9-3 row 13 : 13 | oct 11 | vs. toronto argonauts | 39-35 | win | 10-3 row 14 : 14 | oct 17 | at toronto argonauts | 29-16 | win | 11-3 row 15 : 15 | oct 23 | vs. edmonton eskimos | 33-17 | loss | 11-4 row 16 : 16 | nov 7 | at hamilton tiger-cats | 24-21 | loss | 11-5
|
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 1",
"at Edmonton Eskimos",
"32-26",
"Win",
"3-1"
],
[
"5",
"Aug 8",
"vs. BC Lions",
"29-16",
"Win",
"4-1"
],
[
"6",
"Aug 20",
"at Calgary Stampeders",
"35-4",
"Win",
"5-1"
],
[
"7",
"Aug 28",
"vs. Ottawa Rough Riders",
"27-20",
"Win",
"6-1"
],
[
"8",
"Sept 5",
"at Saskatchewan Roughriders",
"36-35",
"Win",
"7-1"
],
[
"9",
"Sept 11",
"vs. Calgary Stampeders",
"15-11",
"Loss",
"7-2"
],
[
"10",
"Sept 18",
"at Ottawa Rough Riders",
"38-28",
"Loss",
"7-3"
],
[
"11",
"Sept 25",
"vs. Montreal Concordes",
"19-16",
"Win",
"8-3"
],
[
"12",
"Oct 2",
"at BC Lions",
"29-19",
"Win",
"9-3"
],
[
"13",
"Oct 11",
"vs. Toronto Argonauts",
"39-35",
"Win",
"10-3"
],
[
"14",
"Oct 17",
"at Toronto Argonauts",
"29-16",
"Win",
"11-3"
],
[
"15",
"Oct 23",
"vs. Edmonton Eskimos",
"33-17",
"Loss",
"11-4"
],
[
"16",
"Nov 7",
"at Hamilton Tiger-Cats",
"24-21",
"Loss",
"11-5"
]
] |
[
"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 : 5 | aug 8 | vs. bc lions | 29-16 | win | 4-1 row 6 : 6 | aug 20 | at calgary stampeders | 35-4 | win | 5-1 row 7 : 7 | aug 28 | vs. ottawa rough riders | 27-20 | win | 6-1 row 8 : 8 | sept 5 | at saskatchewan roughriders | 36-35 | win | 7-1 row 9 : 9 | sept 11 | vs. calgary stampeders | 15-11 | loss | 7-2 row 10 : 10 | sept 18 | at ottawa rough riders | 38-28 | loss | 7-3 row 11 : 11 | sept 25 | vs. montreal concordes | 19-16 | win | 8-3 row 12 : 12 | oct 2 | at bc lions | 29-19 | win | 9-3 row 13 : 13 | oct 11 | vs. toronto argonauts | 39-35 | win | 10-3 row 14 : 14 | oct 17 | at toronto argonauts | 29-16 | win | 11-3 row 15 : 15 | oct 23 | vs. edmonton eskimos | 33-17 | loss | 11-4 row 16 : 16 | nov 7 | at hamilton tiger-cats | 24-21 | loss | 11-5
|
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 1",
"at Edmonton Eskimos",
"32-26",
"Win",
"3-1"
],
[
"5",
"Aug 8",
"vs. BC Lions",
"29-16",
"Win",
"4-1"
],
[
"6",
"Aug 20",
"at Calgary Stampeders",
"35-4",
"Win",
"5-1"
],
[
"7",
"Aug 28",
"vs. Ottawa Rough Riders",
"27-20",
"Win",
"6-1"
],
[
"8",
"Sept 5",
"at Saskatchewan Roughriders",
"36-35",
"Win",
"7-1"
],
[
"9",
"Sept 11",
"vs. Calgary Stampeders",
"15-11",
"Loss",
"7-2"
],
[
"10",
"Sept 18",
"at Ottawa Rough Riders",
"38-28",
"Loss",
"7-3"
],
[
"11",
"Sept 25",
"vs. Montreal Concordes",
"19-16",
"Win",
"8-3"
],
[
"12",
"Oct 2",
"at BC Lions",
"29-19",
"Win",
"9-3"
],
[
"13",
"Oct 11",
"vs. Toronto Argonauts",
"39-35",
"Win",
"10-3"
],
[
"14",
"Oct 17",
"at Toronto Argonauts",
"29-16",
"Win",
"11-3"
],
[
"15",
"Oct 23",
"vs. Edmonton Eskimos",
"33-17",
"Loss",
"11-4"
],
[
"16",
"Nov 7",
"at Hamilton Tiger-Cats",
"24-21",
"Loss",
"11-5"
]
] |
[
"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 : 5 | aug 8 | vs. bc lions | 29-16 | win | 4-1 row 6 : 6 | aug 20 | at calgary stampeders | 35-4 | win | 5-1 row 7 : 7 | aug 28 | vs. ottawa rough riders | 27-20 | win | 6-1 row 8 : 8 | sept 5 | at saskatchewan roughriders | 36-35 | win | 7-1 row 9 : 9 | sept 11 | vs. calgary stampeders | 15-11 | loss | 7-2 row 10 : 10 | sept 18 | at ottawa rough riders | 38-28 | loss | 7-3 row 11 : 11 | sept 25 | vs. montreal concordes | 19-16 | win | 8-3 row 12 : 12 | oct 2 | at bc lions | 29-19 | win | 9-3 row 13 : 13 | oct 11 | vs. toronto argonauts | 39-35 | win | 10-3 row 14 : 14 | oct 17 | at toronto argonauts | 29-16 | win | 11-3 row 15 : 15 | oct 23 | vs. edmonton eskimos | 33-17 | loss | 11-4 row 16 : 16 | nov 7 | at hamilton tiger-cats | 24-21 | loss | 11-5
|
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 1",
"at Edmonton Eskimos",
"32-26",
"Win",
"3-1"
],
[
"5",
"Aug 8",
"vs. BC Lions",
"29-16",
"Win",
"4-1"
],
[
"6",
"Aug 20",
"at Calgary Stampeders",
"35-4",
"Win",
"5-1"
],
[
"7",
"Aug 28",
"vs. Ottawa Rough Riders",
"27-20",
"Win",
"6-1"
],
[
"8",
"Sept 5",
"at Saskatchewan Roughriders",
"36-35",
"Win",
"7-1"
],
[
"9",
"Sept 11",
"vs. Calgary Stampeders",
"15-11",
"Loss",
"7-2"
],
[
"10",
"Sept 18",
"at Ottawa Rough Riders",
"38-28",
"Loss",
"7-3"
],
[
"11",
"Sept 25",
"vs. Montreal Concordes",
"19-16",
"Win",
"8-3"
],
[
"12",
"Oct 2",
"at BC Lions",
"29-19",
"Win",
"9-3"
],
[
"13",
"Oct 11",
"vs. Toronto Argonauts",
"39-35",
"Win",
"10-3"
],
[
"14",
"Oct 17",
"at Toronto Argonauts",
"29-16",
"Win",
"11-3"
],
[
"15",
"Oct 23",
"vs. Edmonton Eskimos",
"33-17",
"Loss",
"11-4"
],
[
"16",
"Nov 7",
"at Hamilton Tiger-Cats",
"24-21",
"Loss",
"11-5"
]
] |
[
"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 : 5 | aug 8 | vs. bc lions | 29-16 | win | 4-1 row 6 : 6 | aug 20 | at calgary stampeders | 35-4 | win | 5-1 row 7 : 7 | aug 28 | vs. ottawa rough riders | 27-20 | win | 6-1 row 8 : 8 | sept 5 | at saskatchewan roughriders | 36-35 | win | 7-1 row 9 : 9 | sept 11 | vs. calgary stampeders | 15-11 | loss | 7-2 row 10 : 10 | sept 18 | at ottawa rough riders | 38-28 | loss | 7-3 row 11 : 11 | sept 25 | vs. montreal concordes | 19-16 | win | 8-3 row 12 : 12 | oct 2 | at bc lions | 29-19 | win | 9-3 row 13 : 13 | oct 11 | vs. toronto argonauts | 39-35 | win | 10-3 row 14 : 14 | oct 17 | at toronto argonauts | 29-16 | win | 11-3 row 15 : 15 | oct 23 | vs. edmonton eskimos | 33-17 | loss | 11-4 row 16 : 16 | nov 7 | at hamilton tiger-cats | 24-21 | loss | 11-5
|
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 1",
"at Edmonton Eskimos",
"32-26",
"Win",
"3-1"
],
[
"5",
"Aug 8",
"vs. BC Lions",
"29-16",
"Win",
"4-1"
],
[
"6",
"Aug 20",
"at Calgary Stampeders",
"35-4",
"Win",
"5-1"
],
[
"7",
"Aug 28",
"vs. Ottawa Rough Riders",
"27-20",
"Win",
"6-1"
],
[
"8",
"Sept 5",
"at Saskatchewan Roughriders",
"36-35",
"Win",
"7-1"
],
[
"9",
"Sept 11",
"vs. Calgary Stampeders",
"15-11",
"Loss",
"7-2"
],
[
"10",
"Sept 18",
"at Ottawa Rough Riders",
"38-28",
"Loss",
"7-3"
],
[
"11",
"Sept 25",
"vs. Montreal Concordes",
"19-16",
"Win",
"8-3"
],
[
"12",
"Oct 2",
"at BC Lions",
"29-19",
"Win",
"9-3"
],
[
"13",
"Oct 11",
"vs. Toronto Argonauts",
"39-35",
"Win",
"10-3"
],
[
"14",
"Oct 17",
"at Toronto Argonauts",
"29-16",
"Win",
"11-3"
],
[
"15",
"Oct 23",
"vs. Edmonton Eskimos",
"33-17",
"Loss",
"11-4"
],
[
"16",
"Nov 7",
"at Hamilton Tiger-Cats",
"24-21",
"Loss",
"11-5"
]
] |
[
"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 4 : jim gentile | baltimore orioles | may 9, 1961 | minnesota twins | metropolitan stadium row 5 : tony cloninger4 | atlanta braves | july 3, 1966 | san francisco giants | candlestick park row 6 : jim northrup | detroit tigers | june 24, 1968 | cleveland indians | cleveland stadium row 7 : frank robinson | baltimore orioles | june 26, 1970 | washington senators | rfk stadium row 8 : robin ventura | chicago white sox | september 4, 1995 | texas rangers | the ballpark in arlington row 9 : chris hoiles | baltimore orioles | august 14, 1998 | cleveland indians | jacobs field row 10 : fernando tatis5 | st. louis cardinals | april 23, 1999 | los angeles dodgers | dodger stadium row 11 : nomar garciaparra6 | boston red sox | may 10, 1999 | seattle mariners | fenway park row 12 : bill mueller7 | boston red sox | july 29, 2003 | texas rangers | the ballpark in arlington row 13 : josh willingham | washington nationals | july 27, 2009 | milwaukee brewers | miller park
|
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 Browns",
"Sportsman's Park"
],
[
"Jim Gentile",
"Baltimore Orioles",
"May 9, 1961",
"Minnesota Twins",
"Metropolitan Stadium"
],
[
"Tony Cloninger4",
"Atlanta Braves",
"July 3, 1966",
"San Francisco Giants",
"Candlestick Park"
],
[
"Jim Northrup",
"Detroit Tigers",
"June 24, 1968",
"Cleveland Indians",
"Cleveland Stadium"
],
[
"Frank Robinson",
"Baltimore Orioles",
"June 26, 1970",
"Washington Senators",
"RFK Stadium"
],
[
"Robin Ventura",
"Chicago White Sox",
"September 4, 1995",
"Texas Rangers",
"The Ballpark in Arlington"
],
[
"Chris Hoiles",
"Baltimore Orioles",
"August 14, 1998",
"Cleveland Indians",
"Jacobs Field"
],
[
"Fernando Tatis5",
"St. Louis Cardinals",
"April 23, 1999",
"Los Angeles Dodgers",
"Dodger Stadium"
],
[
"Nomar Garciaparra6",
"Boston Red Sox",
"May 10, 1999",
"Seattle Mariners",
"Fenway Park"
],
[
"Bill Mueller7",
"Boston Red Sox",
"July 29, 2003",
"Texas Rangers",
"The Ballpark in Arlington"
],
[
"Josh Willingham",
"Washington Nationals",
"July 27, 2009",
"Milwaukee Brewers",
"Miller Park"
]
] |
[
"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 4 : jim gentile | baltimore orioles | may 9, 1961 | minnesota twins | metropolitan stadium row 5 : tony cloninger4 | atlanta braves | july 3, 1966 | san francisco giants | candlestick park row 6 : jim northrup | detroit tigers | june 24, 1968 | cleveland indians | cleveland stadium row 7 : frank robinson | baltimore orioles | june 26, 1970 | washington senators | rfk stadium row 8 : robin ventura | chicago white sox | september 4, 1995 | texas rangers | the ballpark in arlington row 9 : chris hoiles | baltimore orioles | august 14, 1998 | cleveland indians | jacobs field row 10 : fernando tatis5 | st. louis cardinals | april 23, 1999 | los angeles dodgers | dodger stadium row 11 : nomar garciaparra6 | boston red sox | may 10, 1999 | seattle mariners | fenway park row 12 : bill mueller7 | boston red sox | july 29, 2003 | texas rangers | the ballpark in arlington row 13 : josh willingham | washington nationals | july 27, 2009 | milwaukee brewers | miller park
|
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 Browns",
"Sportsman's Park"
],
[
"Jim Gentile",
"Baltimore Orioles",
"May 9, 1961",
"Minnesota Twins",
"Metropolitan Stadium"
],
[
"Tony Cloninger4",
"Atlanta Braves",
"July 3, 1966",
"San Francisco Giants",
"Candlestick Park"
],
[
"Jim Northrup",
"Detroit Tigers",
"June 24, 1968",
"Cleveland Indians",
"Cleveland Stadium"
],
[
"Frank Robinson",
"Baltimore Orioles",
"June 26, 1970",
"Washington Senators",
"RFK Stadium"
],
[
"Robin Ventura",
"Chicago White Sox",
"September 4, 1995",
"Texas Rangers",
"The Ballpark in Arlington"
],
[
"Chris Hoiles",
"Baltimore Orioles",
"August 14, 1998",
"Cleveland Indians",
"Jacobs Field"
],
[
"Fernando Tatis5",
"St. Louis Cardinals",
"April 23, 1999",
"Los Angeles Dodgers",
"Dodger Stadium"
],
[
"Nomar Garciaparra6",
"Boston Red Sox",
"May 10, 1999",
"Seattle Mariners",
"Fenway Park"
],
[
"Bill Mueller7",
"Boston Red Sox",
"July 29, 2003",
"Texas Rangers",
"The Ballpark in Arlington"
],
[
"Josh Willingham",
"Washington Nationals",
"July 27, 2009",
"Milwaukee Brewers",
"Miller Park"
]
] |
[
"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 4 : jim gentile | baltimore orioles | may 9, 1961 | minnesota twins | metropolitan stadium row 5 : tony cloninger4 | atlanta braves | july 3, 1966 | san francisco giants | candlestick park row 6 : jim northrup | detroit tigers | june 24, 1968 | cleveland indians | cleveland stadium row 7 : frank robinson | baltimore orioles | june 26, 1970 | washington senators | rfk stadium row 8 : robin ventura | chicago white sox | september 4, 1995 | texas rangers | the ballpark in arlington row 9 : chris hoiles | baltimore orioles | august 14, 1998 | cleveland indians | jacobs field row 10 : fernando tatis5 | st. louis cardinals | april 23, 1999 | los angeles dodgers | dodger stadium row 11 : nomar garciaparra6 | boston red sox | may 10, 1999 | seattle mariners | fenway park row 12 : bill mueller7 | boston red sox | july 29, 2003 | texas rangers | the ballpark in arlington row 13 : josh willingham | washington nationals | july 27, 2009 | milwaukee brewers | miller park
|
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 Browns",
"Sportsman's Park"
],
[
"Jim Gentile",
"Baltimore Orioles",
"May 9, 1961",
"Minnesota Twins",
"Metropolitan Stadium"
],
[
"Tony Cloninger4",
"Atlanta Braves",
"July 3, 1966",
"San Francisco Giants",
"Candlestick Park"
],
[
"Jim Northrup",
"Detroit Tigers",
"June 24, 1968",
"Cleveland Indians",
"Cleveland Stadium"
],
[
"Frank Robinson",
"Baltimore Orioles",
"June 26, 1970",
"Washington Senators",
"RFK Stadium"
],
[
"Robin Ventura",
"Chicago White Sox",
"September 4, 1995",
"Texas Rangers",
"The Ballpark in Arlington"
],
[
"Chris Hoiles",
"Baltimore Orioles",
"August 14, 1998",
"Cleveland Indians",
"Jacobs Field"
],
[
"Fernando Tatis5",
"St. Louis Cardinals",
"April 23, 1999",
"Los Angeles Dodgers",
"Dodger Stadium"
],
[
"Nomar Garciaparra6",
"Boston Red Sox",
"May 10, 1999",
"Seattle Mariners",
"Fenway Park"
],
[
"Bill Mueller7",
"Boston Red Sox",
"July 29, 2003",
"Texas Rangers",
"The Ballpark in Arlington"
],
[
"Josh Willingham",
"Washington Nationals",
"July 27, 2009",
"Milwaukee Brewers",
"Miller Park"
]
] |
[
"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 4 : jim gentile | baltimore orioles | may 9, 1961 | minnesota twins | metropolitan stadium row 5 : tony cloninger4 | atlanta braves | july 3, 1966 | san francisco giants | candlestick park row 6 : jim northrup | detroit tigers | june 24, 1968 | cleveland indians | cleveland stadium row 7 : frank robinson | baltimore orioles | june 26, 1970 | washington senators | rfk stadium row 8 : robin ventura | chicago white sox | september 4, 1995 | texas rangers | the ballpark in arlington row 9 : chris hoiles | baltimore orioles | august 14, 1998 | cleveland indians | jacobs field row 10 : fernando tatis5 | st. louis cardinals | april 23, 1999 | los angeles dodgers | dodger stadium row 11 : nomar garciaparra6 | boston red sox | may 10, 1999 | seattle mariners | fenway park row 12 : bill mueller7 | boston red sox | july 29, 2003 | texas rangers | the ballpark in arlington row 13 : josh willingham | washington nationals | july 27, 2009 | milwaukee brewers | miller park
|
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 Browns",
"Sportsman's Park"
],
[
"Jim Gentile",
"Baltimore Orioles",
"May 9, 1961",
"Minnesota Twins",
"Metropolitan Stadium"
],
[
"Tony Cloninger4",
"Atlanta Braves",
"July 3, 1966",
"San Francisco Giants",
"Candlestick Park"
],
[
"Jim Northrup",
"Detroit Tigers",
"June 24, 1968",
"Cleveland Indians",
"Cleveland Stadium"
],
[
"Frank Robinson",
"Baltimore Orioles",
"June 26, 1970",
"Washington Senators",
"RFK Stadium"
],
[
"Robin Ventura",
"Chicago White Sox",
"September 4, 1995",
"Texas Rangers",
"The Ballpark in Arlington"
],
[
"Chris Hoiles",
"Baltimore Orioles",
"August 14, 1998",
"Cleveland Indians",
"Jacobs Field"
],
[
"Fernando Tatis5",
"St. Louis Cardinals",
"April 23, 1999",
"Los Angeles Dodgers",
"Dodger Stadium"
],
[
"Nomar Garciaparra6",
"Boston Red Sox",
"May 10, 1999",
"Seattle Mariners",
"Fenway Park"
],
[
"Bill Mueller7",
"Boston Red Sox",
"July 29, 2003",
"Texas Rangers",
"The Ballpark in Arlington"
],
[
"Josh Willingham",
"Washington Nationals",
"July 27, 2009",
"Milwaukee Brewers",
"Miller Park"
]
] |
[
"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 4 : jim gentile | baltimore orioles | may 9, 1961 | minnesota twins | metropolitan stadium row 5 : tony cloninger4 | atlanta braves | july 3, 1966 | san francisco giants | candlestick park row 6 : jim northrup | detroit tigers | june 24, 1968 | cleveland indians | cleveland stadium row 7 : frank robinson | baltimore orioles | june 26, 1970 | washington senators | rfk stadium row 8 : robin ventura | chicago white sox | september 4, 1995 | texas rangers | the ballpark in arlington row 9 : chris hoiles | baltimore orioles | august 14, 1998 | cleveland indians | jacobs field row 10 : fernando tatis5 | st. louis cardinals | april 23, 1999 | los angeles dodgers | dodger stadium row 11 : nomar garciaparra6 | boston red sox | may 10, 1999 | seattle mariners | fenway park row 12 : bill mueller7 | boston red sox | july 29, 2003 | texas rangers | the ballpark in arlington row 13 : josh willingham | washington nationals | july 27, 2009 | milwaukee brewers | miller park
|
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 Browns",
"Sportsman's Park"
],
[
"Jim Gentile",
"Baltimore Orioles",
"May 9, 1961",
"Minnesota Twins",
"Metropolitan Stadium"
],
[
"Tony Cloninger4",
"Atlanta Braves",
"July 3, 1966",
"San Francisco Giants",
"Candlestick Park"
],
[
"Jim Northrup",
"Detroit Tigers",
"June 24, 1968",
"Cleveland Indians",
"Cleveland Stadium"
],
[
"Frank Robinson",
"Baltimore Orioles",
"June 26, 1970",
"Washington Senators",
"RFK Stadium"
],
[
"Robin Ventura",
"Chicago White Sox",
"September 4, 1995",
"Texas Rangers",
"The Ballpark in Arlington"
],
[
"Chris Hoiles",
"Baltimore Orioles",
"August 14, 1998",
"Cleveland Indians",
"Jacobs Field"
],
[
"Fernando Tatis5",
"St. Louis Cardinals",
"April 23, 1999",
"Los Angeles Dodgers",
"Dodger Stadium"
],
[
"Nomar Garciaparra6",
"Boston Red Sox",
"May 10, 1999",
"Seattle Mariners",
"Fenway Park"
],
[
"Bill Mueller7",
"Boston Red Sox",
"July 29, 2003",
"Texas Rangers",
"The Ballpark in Arlington"
],
[
"Josh Willingham",
"Washington Nationals",
"July 27, 2009",
"Milwaukee Brewers",
"Miller Park"
]
] |
[
"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 4 : jim gentile | baltimore orioles | may 9, 1961 | minnesota twins | metropolitan stadium row 5 : tony cloninger4 | atlanta braves | july 3, 1966 | san francisco giants | candlestick park row 6 : jim northrup | detroit tigers | june 24, 1968 | cleveland indians | cleveland stadium row 7 : frank robinson | baltimore orioles | june 26, 1970 | washington senators | rfk stadium row 8 : robin ventura | chicago white sox | september 4, 1995 | texas rangers | the ballpark in arlington row 9 : chris hoiles | baltimore orioles | august 14, 1998 | cleveland indians | jacobs field row 10 : fernando tatis5 | st. louis cardinals | april 23, 1999 | los angeles dodgers | dodger stadium row 11 : nomar garciaparra6 | boston red sox | may 10, 1999 | seattle mariners | fenway park row 12 : bill mueller7 | boston red sox | july 29, 2003 | texas rangers | the ballpark in arlington row 13 : josh willingham | washington nationals | july 27, 2009 | milwaukee brewers | miller park
|
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 Browns",
"Sportsman's Park"
],
[
"Jim Gentile",
"Baltimore Orioles",
"May 9, 1961",
"Minnesota Twins",
"Metropolitan Stadium"
],
[
"Tony Cloninger4",
"Atlanta Braves",
"July 3, 1966",
"San Francisco Giants",
"Candlestick Park"
],
[
"Jim Northrup",
"Detroit Tigers",
"June 24, 1968",
"Cleveland Indians",
"Cleveland Stadium"
],
[
"Frank Robinson",
"Baltimore Orioles",
"June 26, 1970",
"Washington Senators",
"RFK Stadium"
],
[
"Robin Ventura",
"Chicago White Sox",
"September 4, 1995",
"Texas Rangers",
"The Ballpark in Arlington"
],
[
"Chris Hoiles",
"Baltimore Orioles",
"August 14, 1998",
"Cleveland Indians",
"Jacobs Field"
],
[
"Fernando Tatis5",
"St. Louis Cardinals",
"April 23, 1999",
"Los Angeles Dodgers",
"Dodger Stadium"
],
[
"Nomar Garciaparra6",
"Boston Red Sox",
"May 10, 1999",
"Seattle Mariners",
"Fenway Park"
],
[
"Bill Mueller7",
"Boston Red Sox",
"July 29, 2003",
"Texas Rangers",
"The Ballpark in Arlington"
],
[
"Josh Willingham",
"Washington Nationals",
"July 27, 2009",
"Milwaukee Brewers",
"Miller Park"
]
] |
[
"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 4 : jim gentile | baltimore orioles | may 9, 1961 | minnesota twins | metropolitan stadium row 5 : tony cloninger4 | atlanta braves | july 3, 1966 | san francisco giants | candlestick park row 6 : jim northrup | detroit tigers | june 24, 1968 | cleveland indians | cleveland stadium row 7 : frank robinson | baltimore orioles | june 26, 1970 | washington senators | rfk stadium row 8 : robin ventura | chicago white sox | september 4, 1995 | texas rangers | the ballpark in arlington row 9 : chris hoiles | baltimore orioles | august 14, 1998 | cleveland indians | jacobs field row 10 : fernando tatis5 | st. louis cardinals | april 23, 1999 | los angeles dodgers | dodger stadium row 11 : nomar garciaparra6 | boston red sox | may 10, 1999 | seattle mariners | fenway park row 12 : bill mueller7 | boston red sox | july 29, 2003 | texas rangers | the ballpark in arlington row 13 : josh willingham | washington nationals | july 27, 2009 | milwaukee brewers | miller park
|
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 Browns",
"Sportsman's Park"
],
[
"Jim Gentile",
"Baltimore Orioles",
"May 9, 1961",
"Minnesota Twins",
"Metropolitan Stadium"
],
[
"Tony Cloninger4",
"Atlanta Braves",
"July 3, 1966",
"San Francisco Giants",
"Candlestick Park"
],
[
"Jim Northrup",
"Detroit Tigers",
"June 24, 1968",
"Cleveland Indians",
"Cleveland Stadium"
],
[
"Frank Robinson",
"Baltimore Orioles",
"June 26, 1970",
"Washington Senators",
"RFK Stadium"
],
[
"Robin Ventura",
"Chicago White Sox",
"September 4, 1995",
"Texas Rangers",
"The Ballpark in Arlington"
],
[
"Chris Hoiles",
"Baltimore Orioles",
"August 14, 1998",
"Cleveland Indians",
"Jacobs Field"
],
[
"Fernando Tatis5",
"St. Louis Cardinals",
"April 23, 1999",
"Los Angeles Dodgers",
"Dodger Stadium"
],
[
"Nomar Garciaparra6",
"Boston Red Sox",
"May 10, 1999",
"Seattle Mariners",
"Fenway Park"
],
[
"Bill Mueller7",
"Boston Red Sox",
"July 29, 2003",
"Texas Rangers",
"The Ballpark in Arlington"
],
[
"Josh Willingham",
"Washington Nationals",
"July 27, 2009",
"Milwaukee Brewers",
"Miller Park"
]
] |
[
"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 | chile | 0 | 0 | 1 | 1 row 9 : 8 | venezuela | 0 | 0 | 1 | 1 row 10 : total | total | 12 | 12 | 12 | 36
|
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",
"0",
"1"
],
[
"6",
"Argentina",
"0",
"4",
"3",
"7"
],
[
"7",
"Brazil",
"0",
"2",
"2",
"4"
],
[
"8",
"Chile",
"0",
"0",
"1",
"1"
],
[
"8",
"Venezuela",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"12",
"12",
"12",
"36"
]
] |
[
"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? ||
|
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