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nt-2266
|
col : institution | location | founded | type | enrollment | joined | nickname row 1 : bryan college | dayton, tennessee | 1930 | private (non-denominational) | 1,044 | 2001 | lions row 2 : columbia college+ | columbia, south carolina | 1854 | private (methodist) | 1,200 | 2011 | fighting koalas row 3 : milligan college | elizabethton, tennessee | 1866 | private (disciples of christ) | 1,006 | 2001 | buffaloes row 4 : montreat college | montreat, north carolina | 1916 | private (presbyterian) | 1,145 | 2001 | cavaliers row 5 : point university | west point, georgia | 1937 | private (christian churches and churches of christ) | 1,000 | 2011 | skyhawks row 6 : reinhardt university | waleska, georgia | 1883 | private (methodist) | 1,057 | 2009 | eagles row 7 : st. andrews university | laurinburg, north carolina | 1958 | private | 800 | 2012 | knights row 8 : savannah college of art and design at atlanta | atlanta, georgia | 2005 | private | 2,000 | 2012 | bees row 9 : tennessee wesleyan college | athens, tennessee | 1857 | private (methodist) | 1,103 | 2001 | bulldogs row 10 : truett-mcconnell college | cleveland, georgia | 1946 | private/christian (baptist) | 550 | 2013 | bears row 11 : union college | barbourville, kentucky | 1879 | private/christian (methodist) | 1,368 | 2001 | bulldogs row 12 : virginia intermont college | bristol, virginia | 1884 | private/christian (baptist) | 916 | 2001 | cobras
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[
"what are the institutions of the appalachian athletic conference?"
] | 0 |
bryan college, columbia college+, milligan college, montreat college, point university, reinhardt university, st. andrews university, savannah college of art and design at atlanta, tennessee wesleyan college, truett-mcconnell college, union college, virginia intermont college
|
[
"Institution",
"Location",
"Founded",
"Type",
"Enrollment",
"Joined",
"Nickname"
] |
what are the institutions of the appalachian athletic conference?
|
[
[
"Bryan College",
"Dayton, Tennessee",
"1930",
"Private (non-denominational)",
"1,044",
"2001",
"Lions"
],
[
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"Columbia, South Carolina",
"1854",
"Private (Methodist)",
"1,200",
"2011",
"Fighting Koalas"
],
[
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"Elizabethton, Tennessee",
"1866",
"Private (Disciples of Christ)",
"1,006",
"2001",
"Buffaloes"
],
[
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"Montreat, North Carolina",
"1916",
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"1,145",
"2001",
"Cavaliers"
],
[
"Point University",
"West Point, Georgia",
"1937",
"Private (Christian churches and churches of Christ)",
"1,000",
"2011",
"Skyhawks"
],
[
"Reinhardt University",
"Waleska, Georgia",
"1883",
"Private (Methodist)",
"1,057",
"2009",
"Eagles"
],
[
"St. Andrews University",
"Laurinburg, North Carolina",
"1958",
"Private",
"800",
"2012",
"Knights"
],
[
"Savannah College of Art and Design at Atlanta",
"Atlanta, Georgia",
"2005",
"Private",
"2,000",
"2012",
"Bees"
],
[
"Tennessee Wesleyan College",
"Athens, Tennessee",
"1857",
"Private (Methodist)",
"1,103",
"2001",
"Bulldogs"
],
[
"Truett-McConnell College",
"Cleveland, Georgia",
"1946",
"Private/Christian (Baptist)",
"550",
"2013",
"Bears"
],
[
"Union College",
"Barbourville, Kentucky",
"1879",
"Private/Christian (Methodist)",
"1,368",
"2001",
"Bulldogs"
],
[
"Virginia Intermont College",
"Bristol, Virginia",
"1884",
"Private/Christian (Baptist)",
"916",
"2001",
"Cobras"
]
] |
[
"Bryan College",
"Columbia College+",
"Milligan College",
"Montreat College",
"Point University",
"Reinhardt University",
"St. Andrews University",
"Savannah College of Art and Design at Atlanta",
"Tennessee Wesleyan College",
"Truett-McConnell College",
"Union College",
"Virginia Intermont College"
] |
what are the institutions of the appalachian athletic conference? ||
|
nt-2266
|
col : institution | location | founded | type | enrollment | joined | nickname row 1 : bryan college | dayton, tennessee | 1930 | private (non-denominational) | 1,044 | 2001 | lions row 2 : columbia college+ | columbia, south carolina | 1854 | private (methodist) | 1,200 | 2011 | fighting koalas row 3 : milligan college | elizabethton, tennessee | 1866 | private (disciples of christ) | 1,006 | 2001 | buffaloes row 4 : montreat college | montreat, north carolina | 1916 | private (presbyterian) | 1,145 | 2001 | cavaliers row 5 : point university | west point, georgia | 1937 | private (christian churches and churches of christ) | 1,000 | 2011 | skyhawks row 6 : reinhardt university | waleska, georgia | 1883 | private (methodist) | 1,057 | 2009 | eagles row 7 : st. andrews university | laurinburg, north carolina | 1958 | private | 800 | 2012 | knights row 8 : savannah college of art and design at atlanta | atlanta, georgia | 2005 | private | 2,000 | 2012 | bees row 9 : tennessee wesleyan college | athens, tennessee | 1857 | private (methodist) | 1,103 | 2001 | bulldogs row 10 : truett-mcconnell college | cleveland, georgia | 1946 | private/christian (baptist) | 550 | 2013 | bears row 11 : union college | barbourville, kentucky | 1879 | private/christian (methodist) | 1,368 | 2001 | bulldogs row 12 : virginia intermont college | bristol, virginia | 1884 | private/christian (baptist) | 916 | 2001 | cobras
|
table_csv/203_135.csv
| 1 |
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[
"what are the institutions of the appalachian athletic conference?",
"which of these are located in kentucky?"
] | 0 |
union college
|
[
"Institution",
"Location",
"Founded",
"Type",
"Enrollment",
"Joined",
"Nickname"
] |
which of these are located in kentucky?
|
[
[
"Bryan College",
"Dayton, Tennessee",
"1930",
"Private (non-denominational)",
"1,044",
"2001",
"Lions"
],
[
"Columbia College+",
"Columbia, South Carolina",
"1854",
"Private (Methodist)",
"1,200",
"2011",
"Fighting Koalas"
],
[
"Milligan College",
"Elizabethton, Tennessee",
"1866",
"Private (Disciples of Christ)",
"1,006",
"2001",
"Buffaloes"
],
[
"Montreat College",
"Montreat, North Carolina",
"1916",
"Private (Presbyterian)",
"1,145",
"2001",
"Cavaliers"
],
[
"Point University",
"West Point, Georgia",
"1937",
"Private (Christian churches and churches of Christ)",
"1,000",
"2011",
"Skyhawks"
],
[
"Reinhardt University",
"Waleska, Georgia",
"1883",
"Private (Methodist)",
"1,057",
"2009",
"Eagles"
],
[
"St. Andrews University",
"Laurinburg, North Carolina",
"1958",
"Private",
"800",
"2012",
"Knights"
],
[
"Savannah College of Art and Design at Atlanta",
"Atlanta, Georgia",
"2005",
"Private",
"2,000",
"2012",
"Bees"
],
[
"Tennessee Wesleyan College",
"Athens, Tennessee",
"1857",
"Private (Methodist)",
"1,103",
"2001",
"Bulldogs"
],
[
"Truett-McConnell College",
"Cleveland, Georgia",
"1946",
"Private/Christian (Baptist)",
"550",
"2013",
"Bears"
],
[
"Union College",
"Barbourville, Kentucky",
"1879",
"Private/Christian (Methodist)",
"1,368",
"2001",
"Bulldogs"
],
[
"Virginia Intermont College",
"Bristol, Virginia",
"1884",
"Private/Christian (Baptist)",
"916",
"2001",
"Cobras"
]
] |
[
"Union College"
] |
which of these are located in kentucky? || what are the institutions of the appalachian athletic conference?
|
nt-2266
|
col : institution | location | founded | type | enrollment | joined | nickname row 1 : bryan college | dayton, tennessee | 1930 | private (non-denominational) | 1,044 | 2001 | lions row 2 : columbia college+ | columbia, south carolina | 1854 | private (methodist) | 1,200 | 2011 | fighting koalas row 3 : milligan college | elizabethton, tennessee | 1866 | private (disciples of christ) | 1,006 | 2001 | buffaloes row 4 : montreat college | montreat, north carolina | 1916 | private (presbyterian) | 1,145 | 2001 | cavaliers row 5 : point university | west point, georgia | 1937 | private (christian churches and churches of christ) | 1,000 | 2011 | skyhawks row 6 : reinhardt university | waleska, georgia | 1883 | private (methodist) | 1,057 | 2009 | eagles row 7 : st. andrews university | laurinburg, north carolina | 1958 | private | 800 | 2012 | knights row 8 : savannah college of art and design at atlanta | atlanta, georgia | 2005 | private | 2,000 | 2012 | bees row 9 : tennessee wesleyan college | athens, tennessee | 1857 | private (methodist) | 1,103 | 2001 | bulldogs row 10 : truett-mcconnell college | cleveland, georgia | 1946 | private/christian (baptist) | 550 | 2013 | bears row 11 : union college | barbourville, kentucky | 1879 | private/christian (methodist) | 1,368 | 2001 | bulldogs row 12 : virginia intermont college | bristol, virginia | 1884 | private/christian (baptist) | 916 | 2001 | cobras
|
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[
"which institutions participated in the appalachian athletic conference?"
] | 1 |
bryan college, columbia college+, milligan college, montreat college, point university, reinhardt university, st. andrews university, savannah college of art and design at atlanta, tennessee wesleyan college, truett-mcconnell college, union college, virginia intermont college
|
[
"Institution",
"Location",
"Founded",
"Type",
"Enrollment",
"Joined",
"Nickname"
] |
which institutions participated in the appalachian athletic conference?
|
[
[
"Bryan College",
"Dayton, Tennessee",
"1930",
"Private (non-denominational)",
"1,044",
"2001",
"Lions"
],
[
"Columbia College+",
"Columbia, South Carolina",
"1854",
"Private (Methodist)",
"1,200",
"2011",
"Fighting Koalas"
],
[
"Milligan College",
"Elizabethton, Tennessee",
"1866",
"Private (Disciples of Christ)",
"1,006",
"2001",
"Buffaloes"
],
[
"Montreat College",
"Montreat, North Carolina",
"1916",
"Private (Presbyterian)",
"1,145",
"2001",
"Cavaliers"
],
[
"Point University",
"West Point, Georgia",
"1937",
"Private (Christian churches and churches of Christ)",
"1,000",
"2011",
"Skyhawks"
],
[
"Reinhardt University",
"Waleska, Georgia",
"1883",
"Private (Methodist)",
"1,057",
"2009",
"Eagles"
],
[
"St. Andrews University",
"Laurinburg, North Carolina",
"1958",
"Private",
"800",
"2012",
"Knights"
],
[
"Savannah College of Art and Design at Atlanta",
"Atlanta, Georgia",
"2005",
"Private",
"2,000",
"2012",
"Bees"
],
[
"Tennessee Wesleyan College",
"Athens, Tennessee",
"1857",
"Private (Methodist)",
"1,103",
"2001",
"Bulldogs"
],
[
"Truett-McConnell College",
"Cleveland, Georgia",
"1946",
"Private/Christian (Baptist)",
"550",
"2013",
"Bears"
],
[
"Union College",
"Barbourville, Kentucky",
"1879",
"Private/Christian (Methodist)",
"1,368",
"2001",
"Bulldogs"
],
[
"Virginia Intermont College",
"Bristol, Virginia",
"1884",
"Private/Christian (Baptist)",
"916",
"2001",
"Cobras"
]
] |
[
"Bryan College",
"Columbia College+",
"Milligan College",
"Montreat College",
"Point University",
"Reinhardt University",
"St. Andrews University",
"Savannah College of Art and Design at Atlanta",
"Tennessee Wesleyan College",
"Truett-McConnell College",
"Union College",
"Virginia Intermont College"
] |
which institutions participated in the appalachian athletic conference? ||
|
nt-2266
|
col : institution | location | founded | type | enrollment | joined | nickname row 1 : bryan college | dayton, tennessee | 1930 | private (non-denominational) | 1,044 | 2001 | lions row 2 : columbia college+ | columbia, south carolina | 1854 | private (methodist) | 1,200 | 2011 | fighting koalas row 3 : milligan college | elizabethton, tennessee | 1866 | private (disciples of christ) | 1,006 | 2001 | buffaloes row 4 : montreat college | montreat, north carolina | 1916 | private (presbyterian) | 1,145 | 2001 | cavaliers row 5 : point university | west point, georgia | 1937 | private (christian churches and churches of christ) | 1,000 | 2011 | skyhawks row 6 : reinhardt university | waleska, georgia | 1883 | private (methodist) | 1,057 | 2009 | eagles row 7 : st. andrews university | laurinburg, north carolina | 1958 | private | 800 | 2012 | knights row 8 : savannah college of art and design at atlanta | atlanta, georgia | 2005 | private | 2,000 | 2012 | bees row 9 : tennessee wesleyan college | athens, tennessee | 1857 | private (methodist) | 1,103 | 2001 | bulldogs row 10 : truett-mcconnell college | cleveland, georgia | 1946 | private/christian (baptist) | 550 | 2013 | bears row 11 : union college | barbourville, kentucky | 1879 | private/christian (methodist) | 1,368 | 2001 | bulldogs row 12 : virginia intermont college | bristol, virginia | 1884 | private/christian (baptist) | 916 | 2001 | cobras
|
table_csv/203_135.csv
| 1 |
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[
"which institutions participated in the appalachian athletic conference?",
"which institutions are located in the state of kentucky?"
] | 1 |
union college
|
[
"Institution",
"Location",
"Founded",
"Type",
"Enrollment",
"Joined",
"Nickname"
] |
which institutions are located in the state of kentucky?
|
[
[
"Bryan College",
"Dayton, Tennessee",
"1930",
"Private (non-denominational)",
"1,044",
"2001",
"Lions"
],
[
"Columbia College+",
"Columbia, South Carolina",
"1854",
"Private (Methodist)",
"1,200",
"2011",
"Fighting Koalas"
],
[
"Milligan College",
"Elizabethton, Tennessee",
"1866",
"Private (Disciples of Christ)",
"1,006",
"2001",
"Buffaloes"
],
[
"Montreat College",
"Montreat, North Carolina",
"1916",
"Private (Presbyterian)",
"1,145",
"2001",
"Cavaliers"
],
[
"Point University",
"West Point, Georgia",
"1937",
"Private (Christian churches and churches of Christ)",
"1,000",
"2011",
"Skyhawks"
],
[
"Reinhardt University",
"Waleska, Georgia",
"1883",
"Private (Methodist)",
"1,057",
"2009",
"Eagles"
],
[
"St. Andrews University",
"Laurinburg, North Carolina",
"1958",
"Private",
"800",
"2012",
"Knights"
],
[
"Savannah College of Art and Design at Atlanta",
"Atlanta, Georgia",
"2005",
"Private",
"2,000",
"2012",
"Bees"
],
[
"Tennessee Wesleyan College",
"Athens, Tennessee",
"1857",
"Private (Methodist)",
"1,103",
"2001",
"Bulldogs"
],
[
"Truett-McConnell College",
"Cleveland, Georgia",
"1946",
"Private/Christian (Baptist)",
"550",
"2013",
"Bears"
],
[
"Union College",
"Barbourville, Kentucky",
"1879",
"Private/Christian (Methodist)",
"1,368",
"2001",
"Bulldogs"
],
[
"Virginia Intermont College",
"Bristol, Virginia",
"1884",
"Private/Christian (Baptist)",
"916",
"2001",
"Cobras"
]
] |
[
"Union College"
] |
which institutions are located in the state of kentucky? || which institutions participated in the appalachian athletic conference?
|
nt-2266
|
col : institution | location | founded | type | enrollment | joined | nickname row 1 : bryan college | dayton, tennessee | 1930 | private (non-denominational) | 1,044 | 2001 | lions row 2 : columbia college+ | columbia, south carolina | 1854 | private (methodist) | 1,200 | 2011 | fighting koalas row 3 : milligan college | elizabethton, tennessee | 1866 | private (disciples of christ) | 1,006 | 2001 | buffaloes row 4 : montreat college | montreat, north carolina | 1916 | private (presbyterian) | 1,145 | 2001 | cavaliers row 5 : point university | west point, georgia | 1937 | private (christian churches and churches of christ) | 1,000 | 2011 | skyhawks row 6 : reinhardt university | waleska, georgia | 1883 | private (methodist) | 1,057 | 2009 | eagles row 7 : st. andrews university | laurinburg, north carolina | 1958 | private | 800 | 2012 | knights row 8 : savannah college of art and design at atlanta | atlanta, georgia | 2005 | private | 2,000 | 2012 | bees row 9 : tennessee wesleyan college | athens, tennessee | 1857 | private (methodist) | 1,103 | 2001 | bulldogs row 10 : truett-mcconnell college | cleveland, georgia | 1946 | private/christian (baptist) | 550 | 2013 | bears row 11 : union college | barbourville, kentucky | 1879 | private/christian (methodist) | 1,368 | 2001 | bulldogs row 12 : virginia intermont college | bristol, virginia | 1884 | private/christian (baptist) | 916 | 2001 | cobras
|
table_csv/203_135.csv
| 0 |
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[
"what cities and states are listed in the location column?"
] | 2 |
dayton, tennessee, columbia, south carolina, elizabethton, tennessee, montreat, north carolina, west point, georgia, waleska, georgia, laurinburg, north carolina, atlanta, georgia, athens, tennessee, cleveland, georgia, barbourville, kentucky, bristol, virginia
|
[
"Institution",
"Location",
"Founded",
"Type",
"Enrollment",
"Joined",
"Nickname"
] |
what cities and states are listed in the location column?
|
[
[
"Bryan College",
"Dayton, Tennessee",
"1930",
"Private (non-denominational)",
"1,044",
"2001",
"Lions"
],
[
"Columbia College+",
"Columbia, South Carolina",
"1854",
"Private (Methodist)",
"1,200",
"2011",
"Fighting Koalas"
],
[
"Milligan College",
"Elizabethton, Tennessee",
"1866",
"Private (Disciples of Christ)",
"1,006",
"2001",
"Buffaloes"
],
[
"Montreat College",
"Montreat, North Carolina",
"1916",
"Private (Presbyterian)",
"1,145",
"2001",
"Cavaliers"
],
[
"Point University",
"West Point, Georgia",
"1937",
"Private (Christian churches and churches of Christ)",
"1,000",
"2011",
"Skyhawks"
],
[
"Reinhardt University",
"Waleska, Georgia",
"1883",
"Private (Methodist)",
"1,057",
"2009",
"Eagles"
],
[
"St. Andrews University",
"Laurinburg, North Carolina",
"1958",
"Private",
"800",
"2012",
"Knights"
],
[
"Savannah College of Art and Design at Atlanta",
"Atlanta, Georgia",
"2005",
"Private",
"2,000",
"2012",
"Bees"
],
[
"Tennessee Wesleyan College",
"Athens, Tennessee",
"1857",
"Private (Methodist)",
"1,103",
"2001",
"Bulldogs"
],
[
"Truett-McConnell College",
"Cleveland, Georgia",
"1946",
"Private/Christian (Baptist)",
"550",
"2013",
"Bears"
],
[
"Union College",
"Barbourville, Kentucky",
"1879",
"Private/Christian (Methodist)",
"1,368",
"2001",
"Bulldogs"
],
[
"Virginia Intermont College",
"Bristol, Virginia",
"1884",
"Private/Christian (Baptist)",
"916",
"2001",
"Cobras"
]
] |
[
"Dayton, Tennessee",
"Columbia, South Carolina",
"Elizabethton, Tennessee",
"Montreat, North Carolina",
"West Point, Georgia",
"Waleska, Georgia",
"Laurinburg, North Carolina",
"Atlanta, Georgia",
"Athens, Tennessee",
"Cleveland, Georgia",
"Barbourville, Kentucky",
"Bristol, Virginia"
] |
what cities and states are listed in the location column? ||
|
nt-2266
|
col : institution | location | founded | type | enrollment | joined | nickname row 1 : bryan college | dayton, tennessee | 1930 | private (non-denominational) | 1,044 | 2001 | lions row 2 : columbia college+ | columbia, south carolina | 1854 | private (methodist) | 1,200 | 2011 | fighting koalas row 3 : milligan college | elizabethton, tennessee | 1866 | private (disciples of christ) | 1,006 | 2001 | buffaloes row 4 : montreat college | montreat, north carolina | 1916 | private (presbyterian) | 1,145 | 2001 | cavaliers row 5 : point university | west point, georgia | 1937 | private (christian churches and churches of christ) | 1,000 | 2011 | skyhawks row 6 : reinhardt university | waleska, georgia | 1883 | private (methodist) | 1,057 | 2009 | eagles row 7 : st. andrews university | laurinburg, north carolina | 1958 | private | 800 | 2012 | knights row 8 : savannah college of art and design at atlanta | atlanta, georgia | 2005 | private | 2,000 | 2012 | bees row 9 : tennessee wesleyan college | athens, tennessee | 1857 | private (methodist) | 1,103 | 2001 | bulldogs row 10 : truett-mcconnell college | cleveland, georgia | 1946 | private/christian (baptist) | 550 | 2013 | bears row 11 : union college | barbourville, kentucky | 1879 | private/christian (methodist) | 1,368 | 2001 | bulldogs row 12 : virginia intermont college | bristol, virginia | 1884 | private/christian (baptist) | 916 | 2001 | cobras
|
table_csv/203_135.csv
| 1 |
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[
"what cities and states are listed in the location column?",
"what row is associated with the state of kentucky?"
] | 2 |
union college, barbourville, kentucky, 1879, private/christian (methodist), 1,368, 2001, bulldogs
|
[
"Institution",
"Location",
"Founded",
"Type",
"Enrollment",
"Joined",
"Nickname"
] |
what row is associated with the state of kentucky?
|
[
[
"Bryan College",
"Dayton, Tennessee",
"1930",
"Private (non-denominational)",
"1,044",
"2001",
"Lions"
],
[
"Columbia College+",
"Columbia, South Carolina",
"1854",
"Private (Methodist)",
"1,200",
"2011",
"Fighting Koalas"
],
[
"Milligan College",
"Elizabethton, Tennessee",
"1866",
"Private (Disciples of Christ)",
"1,006",
"2001",
"Buffaloes"
],
[
"Montreat College",
"Montreat, North Carolina",
"1916",
"Private (Presbyterian)",
"1,145",
"2001",
"Cavaliers"
],
[
"Point University",
"West Point, Georgia",
"1937",
"Private (Christian churches and churches of Christ)",
"1,000",
"2011",
"Skyhawks"
],
[
"Reinhardt University",
"Waleska, Georgia",
"1883",
"Private (Methodist)",
"1,057",
"2009",
"Eagles"
],
[
"St. Andrews University",
"Laurinburg, North Carolina",
"1958",
"Private",
"800",
"2012",
"Knights"
],
[
"Savannah College of Art and Design at Atlanta",
"Atlanta, Georgia",
"2005",
"Private",
"2,000",
"2012",
"Bees"
],
[
"Tennessee Wesleyan College",
"Athens, Tennessee",
"1857",
"Private (Methodist)",
"1,103",
"2001",
"Bulldogs"
],
[
"Truett-McConnell College",
"Cleveland, Georgia",
"1946",
"Private/Christian (Baptist)",
"550",
"2013",
"Bears"
],
[
"Union College",
"Barbourville, Kentucky",
"1879",
"Private/Christian (Methodist)",
"1,368",
"2001",
"Bulldogs"
],
[
"Virginia Intermont College",
"Bristol, Virginia",
"1884",
"Private/Christian (Baptist)",
"916",
"2001",
"Cobras"
]
] |
[
"Union College",
"Barbourville, Kentucky",
"1879",
"Private/Christian (Methodist)",
"1,368",
"2001",
"Bulldogs"
] |
what row is associated with the state of kentucky? || what cities and states are listed in the location column?
|
nt-2266
|
col : institution | location | founded | type | enrollment | joined | nickname row 1 : bryan college | dayton, tennessee | 1930 | private (non-denominational) | 1,044 | 2001 | lions row 2 : columbia college+ | columbia, south carolina | 1854 | private (methodist) | 1,200 | 2011 | fighting koalas row 3 : milligan college | elizabethton, tennessee | 1866 | private (disciples of christ) | 1,006 | 2001 | buffaloes row 4 : montreat college | montreat, north carolina | 1916 | private (presbyterian) | 1,145 | 2001 | cavaliers row 5 : point university | west point, georgia | 1937 | private (christian churches and churches of christ) | 1,000 | 2011 | skyhawks row 6 : reinhardt university | waleska, georgia | 1883 | private (methodist) | 1,057 | 2009 | eagles row 7 : st. andrews university | laurinburg, north carolina | 1958 | private | 800 | 2012 | knights row 8 : savannah college of art and design at atlanta | atlanta, georgia | 2005 | private | 2,000 | 2012 | bees row 9 : tennessee wesleyan college | athens, tennessee | 1857 | private (methodist) | 1,103 | 2001 | bulldogs row 10 : truett-mcconnell college | cleveland, georgia | 1946 | private/christian (baptist) | 550 | 2013 | bears row 11 : union college | barbourville, kentucky | 1879 | private/christian (methodist) | 1,368 | 2001 | bulldogs row 12 : virginia intermont college | bristol, virginia | 1884 | private/christian (baptist) | 916 | 2001 | cobras
|
table_csv/203_135.csv
| 2 |
{
"column_index": [
0
],
"row_index": [
10
]
}
|
[
"what cities and states are listed in the location column?",
"what row is associated with the state of kentucky?",
"what conference school is listed in the institution column for this row?"
] | 2 |
union college
|
[
"Institution",
"Location",
"Founded",
"Type",
"Enrollment",
"Joined",
"Nickname"
] |
what conference school is listed in the institution column for this row?
|
[
[
"Bryan College",
"Dayton, Tennessee",
"1930",
"Private (non-denominational)",
"1,044",
"2001",
"Lions"
],
[
"Columbia College+",
"Columbia, South Carolina",
"1854",
"Private (Methodist)",
"1,200",
"2011",
"Fighting Koalas"
],
[
"Milligan College",
"Elizabethton, Tennessee",
"1866",
"Private (Disciples of Christ)",
"1,006",
"2001",
"Buffaloes"
],
[
"Montreat College",
"Montreat, North Carolina",
"1916",
"Private (Presbyterian)",
"1,145",
"2001",
"Cavaliers"
],
[
"Point University",
"West Point, Georgia",
"1937",
"Private (Christian churches and churches of Christ)",
"1,000",
"2011",
"Skyhawks"
],
[
"Reinhardt University",
"Waleska, Georgia",
"1883",
"Private (Methodist)",
"1,057",
"2009",
"Eagles"
],
[
"St. Andrews University",
"Laurinburg, North Carolina",
"1958",
"Private",
"800",
"2012",
"Knights"
],
[
"Savannah College of Art and Design at Atlanta",
"Atlanta, Georgia",
"2005",
"Private",
"2,000",
"2012",
"Bees"
],
[
"Tennessee Wesleyan College",
"Athens, Tennessee",
"1857",
"Private (Methodist)",
"1,103",
"2001",
"Bulldogs"
],
[
"Truett-McConnell College",
"Cleveland, Georgia",
"1946",
"Private/Christian (Baptist)",
"550",
"2013",
"Bears"
],
[
"Union College",
"Barbourville, Kentucky",
"1879",
"Private/Christian (Methodist)",
"1,368",
"2001",
"Bulldogs"
],
[
"Virginia Intermont College",
"Bristol, Virginia",
"1884",
"Private/Christian (Baptist)",
"916",
"2001",
"Cobras"
]
] |
[
"Union College"
] |
what conference school is listed in the institution column for this row? || what row is associated with the state of kentucky? | what cities and states are listed in the location column?
|
nt-1513
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 | 0 | 1 | 2 row 8 : 8 | mexico | 0 | 2 | 1 | 3 row 9 : 9 | indonesia | 0 | 1 | 0 | 1 row 10 : 10 | france | 0 | 0 | 2 | 2 row 11 : 11 | australia | 0 | 0 | 1 | 1 row 12 : 11 | canada | 0 | 0 | 1 | 1 row 13 : 11 | ivory coast | 0 | 0 | 1 | 1 row 14 : 11 | denmark | 0 | 0 | 1 | 1 row 15 : 11 | italy | 0 | 0 | 1 | 1 row 16 : 11 | jordan | 0 | 0 | 1 | 1 row 17 : 11 | nepal | 0 | 0 | 1 | 1 row 18 : 11 | switzerland | 0 | 0 | 1 | 1 row 19 : total | total | 16 | 16 | 32 | 64
|
table_csv/204_311.csv
| 0 |
{
"column_index": [
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
7,
8
]
}
|
[
"which nations won silver medals at the 1987 world taekwondo championships?"
] | 0 |
south korea, chinese taipei, spain, united states, turkey, mexico, indonesia
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
which nations won silver medals at the 1987 world taekwondo championships?
|
[
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
"1",
"1",
"2",
"4"
],
[
"6",
"West Germany",
"1",
"0",
"3",
"4"
],
[
"7",
"Netherlands",
"1",
"0",
"1",
"2"
],
[
"8",
"Mexico",
"0",
"2",
"1",
"3"
],
[
"9",
"Indonesia",
"0",
"1",
"0",
"1"
],
[
"10",
"France",
"0",
"0",
"2",
"2"
],
[
"11",
"Australia",
"0",
"0",
"1",
"1"
],
[
"11",
"Canada",
"0",
"0",
"1",
"1"
],
[
"11",
"Ivory Coast",
"0",
"0",
"1",
"1"
],
[
"11",
"Denmark",
"0",
"0",
"1",
"1"
],
[
"11",
"Italy",
"0",
"0",
"1",
"1"
],
[
"11",
"Jordan",
"0",
"0",
"1",
"1"
],
[
"11",
"Nepal",
"0",
"0",
"1",
"1"
],
[
"11",
"Switzerland",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"16",
"16",
"32",
"64"
]
] |
[
"South Korea",
"Chinese Taipei",
"Spain",
"United States",
"Turkey",
"Mexico",
"Indonesia"
] |
which nations won silver medals at the 1987 world taekwondo championships? ||
|
nt-1513
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 | 0 | 1 | 2 row 8 : 8 | mexico | 0 | 2 | 1 | 3 row 9 : 9 | indonesia | 0 | 1 | 0 | 1 row 10 : 10 | france | 0 | 0 | 2 | 2 row 11 : 11 | australia | 0 | 0 | 1 | 1 row 12 : 11 | canada | 0 | 0 | 1 | 1 row 13 : 11 | ivory coast | 0 | 0 | 1 | 1 row 14 : 11 | denmark | 0 | 0 | 1 | 1 row 15 : 11 | italy | 0 | 0 | 1 | 1 row 16 : 11 | jordan | 0 | 0 | 1 | 1 row 17 : 11 | nepal | 0 | 0 | 1 | 1 row 18 : 11 | switzerland | 0 | 0 | 1 | 1 row 19 : total | total | 16 | 16 | 32 | 64
|
table_csv/204_311.csv
| 1 |
{
"column_index": [
1
],
"row_index": [
2
]
}
|
[
"which nations won silver medals at the 1987 world taekwondo championships?",
"and which of those nations won the most silver medals?"
] | 0 |
spain
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
and which of those nations won the most silver medals?
|
[
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
"1",
"1",
"2",
"4"
],
[
"6",
"West Germany",
"1",
"0",
"3",
"4"
],
[
"7",
"Netherlands",
"1",
"0",
"1",
"2"
],
[
"8",
"Mexico",
"0",
"2",
"1",
"3"
],
[
"9",
"Indonesia",
"0",
"1",
"0",
"1"
],
[
"10",
"France",
"0",
"0",
"2",
"2"
],
[
"11",
"Australia",
"0",
"0",
"1",
"1"
],
[
"11",
"Canada",
"0",
"0",
"1",
"1"
],
[
"11",
"Ivory Coast",
"0",
"0",
"1",
"1"
],
[
"11",
"Denmark",
"0",
"0",
"1",
"1"
],
[
"11",
"Italy",
"0",
"0",
"1",
"1"
],
[
"11",
"Jordan",
"0",
"0",
"1",
"1"
],
[
"11",
"Nepal",
"0",
"0",
"1",
"1"
],
[
"11",
"Switzerland",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"16",
"16",
"32",
"64"
]
] |
[
"Spain"
] |
and which of those nations won the most silver medals? || which nations won silver medals at the 1987 world taekwondo championships?
|
nt-1513
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 | 0 | 1 | 2 row 8 : 8 | mexico | 0 | 2 | 1 | 3 row 9 : 9 | indonesia | 0 | 1 | 0 | 1 row 10 : 10 | france | 0 | 0 | 2 | 2 row 11 : 11 | australia | 0 | 0 | 1 | 1 row 12 : 11 | canada | 0 | 0 | 1 | 1 row 13 : 11 | ivory coast | 0 | 0 | 1 | 1 row 14 : 11 | denmark | 0 | 0 | 1 | 1 row 15 : 11 | italy | 0 | 0 | 1 | 1 row 16 : 11 | jordan | 0 | 0 | 1 | 1 row 17 : 11 | nepal | 0 | 0 | 1 | 1 row 18 : 11 | switzerland | 0 | 0 | 1 | 1 row 19 : total | total | 16 | 16 | 32 | 64
|
table_csv/204_311.csv
| 0 |
{
"column_index": [
3
],
"row_index": [
7
]
}
|
[
"how many silver medals did mexico win?"
] | 1 |
2
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
how many silver medals did mexico win?
|
[
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
"1",
"1",
"2",
"4"
],
[
"6",
"West Germany",
"1",
"0",
"3",
"4"
],
[
"7",
"Netherlands",
"1",
"0",
"1",
"2"
],
[
"8",
"Mexico",
"0",
"2",
"1",
"3"
],
[
"9",
"Indonesia",
"0",
"1",
"0",
"1"
],
[
"10",
"France",
"0",
"0",
"2",
"2"
],
[
"11",
"Australia",
"0",
"0",
"1",
"1"
],
[
"11",
"Canada",
"0",
"0",
"1",
"1"
],
[
"11",
"Ivory Coast",
"0",
"0",
"1",
"1"
],
[
"11",
"Denmark",
"0",
"0",
"1",
"1"
],
[
"11",
"Italy",
"0",
"0",
"1",
"1"
],
[
"11",
"Jordan",
"0",
"0",
"1",
"1"
],
[
"11",
"Nepal",
"0",
"0",
"1",
"1"
],
[
"11",
"Switzerland",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"16",
"16",
"32",
"64"
]
] |
[
"2"
] |
how many silver medals did mexico win? ||
|
nt-1513
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 | 0 | 1 | 2 row 8 : 8 | mexico | 0 | 2 | 1 | 3 row 9 : 9 | indonesia | 0 | 1 | 0 | 1 row 10 : 10 | france | 0 | 0 | 2 | 2 row 11 : 11 | australia | 0 | 0 | 1 | 1 row 12 : 11 | canada | 0 | 0 | 1 | 1 row 13 : 11 | ivory coast | 0 | 0 | 1 | 1 row 14 : 11 | denmark | 0 | 0 | 1 | 1 row 15 : 11 | italy | 0 | 0 | 1 | 1 row 16 : 11 | jordan | 0 | 0 | 1 | 1 row 17 : 11 | nepal | 0 | 0 | 1 | 1 row 18 : 11 | switzerland | 0 | 0 | 1 | 1 row 19 : total | total | 16 | 16 | 32 | 64
|
table_csv/204_311.csv
| 1 |
{
"column_index": [
3
],
"row_index": [
2
]
}
|
[
"how many silver medals did mexico win?",
"how many silver medals did spain win?"
] | 1 |
5
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
how many silver medals did spain win?
|
[
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
"1",
"1",
"2",
"4"
],
[
"6",
"West Germany",
"1",
"0",
"3",
"4"
],
[
"7",
"Netherlands",
"1",
"0",
"1",
"2"
],
[
"8",
"Mexico",
"0",
"2",
"1",
"3"
],
[
"9",
"Indonesia",
"0",
"1",
"0",
"1"
],
[
"10",
"France",
"0",
"0",
"2",
"2"
],
[
"11",
"Australia",
"0",
"0",
"1",
"1"
],
[
"11",
"Canada",
"0",
"0",
"1",
"1"
],
[
"11",
"Ivory Coast",
"0",
"0",
"1",
"1"
],
[
"11",
"Denmark",
"0",
"0",
"1",
"1"
],
[
"11",
"Italy",
"0",
"0",
"1",
"1"
],
[
"11",
"Jordan",
"0",
"0",
"1",
"1"
],
[
"11",
"Nepal",
"0",
"0",
"1",
"1"
],
[
"11",
"Switzerland",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"16",
"16",
"32",
"64"
]
] |
[
"5"
] |
how many silver medals did spain win? || how many silver medals did mexico win?
|
nt-1513
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 | 0 | 1 | 2 row 8 : 8 | mexico | 0 | 2 | 1 | 3 row 9 : 9 | indonesia | 0 | 1 | 0 | 1 row 10 : 10 | france | 0 | 0 | 2 | 2 row 11 : 11 | australia | 0 | 0 | 1 | 1 row 12 : 11 | canada | 0 | 0 | 1 | 1 row 13 : 11 | ivory coast | 0 | 0 | 1 | 1 row 14 : 11 | denmark | 0 | 0 | 1 | 1 row 15 : 11 | italy | 0 | 0 | 1 | 1 row 16 : 11 | jordan | 0 | 0 | 1 | 1 row 17 : 11 | nepal | 0 | 0 | 1 | 1 row 18 : 11 | switzerland | 0 | 0 | 1 | 1 row 19 : total | total | 16 | 16 | 32 | 64
|
table_csv/204_311.csv
| 2 |
{
"column_index": [
1
],
"row_index": [
2
]
}
|
[
"how many silver medals did mexico win?",
"how many silver medals did spain win?",
"between mexico and spain, which won more silver medals?"
] | 1 |
spain
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
between mexico and spain, which won more silver medals?
|
[
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
"1",
"1",
"2",
"4"
],
[
"6",
"West Germany",
"1",
"0",
"3",
"4"
],
[
"7",
"Netherlands",
"1",
"0",
"1",
"2"
],
[
"8",
"Mexico",
"0",
"2",
"1",
"3"
],
[
"9",
"Indonesia",
"0",
"1",
"0",
"1"
],
[
"10",
"France",
"0",
"0",
"2",
"2"
],
[
"11",
"Australia",
"0",
"0",
"1",
"1"
],
[
"11",
"Canada",
"0",
"0",
"1",
"1"
],
[
"11",
"Ivory Coast",
"0",
"0",
"1",
"1"
],
[
"11",
"Denmark",
"0",
"0",
"1",
"1"
],
[
"11",
"Italy",
"0",
"0",
"1",
"1"
],
[
"11",
"Jordan",
"0",
"0",
"1",
"1"
],
[
"11",
"Nepal",
"0",
"0",
"1",
"1"
],
[
"11",
"Switzerland",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"16",
"16",
"32",
"64"
]
] |
[
"Spain"
] |
between mexico and spain, which won more silver medals? || how many silver medals did spain win? | how many silver medals did mexico win?
|
nt-1513
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 | 0 | 1 | 2 row 8 : 8 | mexico | 0 | 2 | 1 | 3 row 9 : 9 | indonesia | 0 | 1 | 0 | 1 row 10 : 10 | france | 0 | 0 | 2 | 2 row 11 : 11 | australia | 0 | 0 | 1 | 1 row 12 : 11 | canada | 0 | 0 | 1 | 1 row 13 : 11 | ivory coast | 0 | 0 | 1 | 1 row 14 : 11 | denmark | 0 | 0 | 1 | 1 row 15 : 11 | italy | 0 | 0 | 1 | 1 row 16 : 11 | jordan | 0 | 0 | 1 | 1 row 17 : 11 | nepal | 0 | 0 | 1 | 1 row 18 : 11 | switzerland | 0 | 0 | 1 | 1 row 19 : total | total | 16 | 16 | 32 | 64
|
table_csv/204_311.csv
| 0 |
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[
"which countries won silver medals?"
] | 2 |
south korea, chinese taipei, spain, united states, turkey, mexico, indonesia
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
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which countries won silver medals?
|
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[
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[
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] |
[
"South Korea",
"Chinese Taipei",
"Spain",
"United States",
"Turkey",
"Mexico",
"Indonesia"
] |
which countries won silver medals? ||
|
nt-1513
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 | 0 | 1 | 2 row 8 : 8 | mexico | 0 | 2 | 1 | 3 row 9 : 9 | indonesia | 0 | 1 | 0 | 1 row 10 : 10 | france | 0 | 0 | 2 | 2 row 11 : 11 | australia | 0 | 0 | 1 | 1 row 12 : 11 | canada | 0 | 0 | 1 | 1 row 13 : 11 | ivory coast | 0 | 0 | 1 | 1 row 14 : 11 | denmark | 0 | 0 | 1 | 1 row 15 : 11 | italy | 0 | 0 | 1 | 1 row 16 : 11 | jordan | 0 | 0 | 1 | 1 row 17 : 11 | nepal | 0 | 0 | 1 | 1 row 18 : 11 | switzerland | 0 | 0 | 1 | 1 row 19 : total | total | 16 | 16 | 32 | 64
|
table_csv/204_311.csv
| 1 |
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|
[
"which countries won silver medals?",
"of these countries, which speak spanish?"
] | 2 |
spain, mexico
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
of these countries, which speak spanish?
|
[
[
"1",
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"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
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[
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"5",
"4",
"10"
],
[
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"7",
"10"
],
[
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"1",
"1",
"2",
"4"
],
[
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"4"
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[
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[
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[
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[
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"1",
"1"
],
[
"Total",
"Total",
"16",
"16",
"32",
"64"
]
] |
[
"Spain",
"Mexico"
] |
of these countries, which speak spanish? || which countries won silver medals?
|
nt-1513
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 | 0 | 1 | 2 row 8 : 8 | mexico | 0 | 2 | 1 | 3 row 9 : 9 | indonesia | 0 | 1 | 0 | 1 row 10 : 10 | france | 0 | 0 | 2 | 2 row 11 : 11 | australia | 0 | 0 | 1 | 1 row 12 : 11 | canada | 0 | 0 | 1 | 1 row 13 : 11 | ivory coast | 0 | 0 | 1 | 1 row 14 : 11 | denmark | 0 | 0 | 1 | 1 row 15 : 11 | italy | 0 | 0 | 1 | 1 row 16 : 11 | jordan | 0 | 0 | 1 | 1 row 17 : 11 | nepal | 0 | 0 | 1 | 1 row 18 : 11 | switzerland | 0 | 0 | 1 | 1 row 19 : total | total | 16 | 16 | 32 | 64
|
table_csv/204_311.csv
| 2 |
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|
[
"which countries won silver medals?",
"of these countries, which speak spanish?",
"of these spanish speaking countries, which won the most silver medals?"
] | 2 |
spain
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
of these spanish speaking countries, which won the most silver medals?
|
[
[
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"9",
"2",
"1",
"12"
],
[
"2",
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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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[
"11",
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"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"16",
"16",
"32",
"64"
]
] |
[
"Spain"
] |
of these spanish speaking countries, which won the most silver medals? || of these countries, which speak spanish? | which countries won silver medals?
|
nt-9500
|
col : name | egot completed | emmy | grammy | oscar | tony row 1 : richard rodgers | 1962 (17 years) | 1962 | 1960 | 1945 | 1950, row 2 : helen hayes | 1977 (45 years) | 1953 | 1977 | 1932 | 1947, row 3 : rita moreno | 1977 (16 years) | 1977 | 1972 | 1961 | 1975 row 4 : john gielgud | 1991 (30 years) | 1991 | 1979 | 1981 | 1961, row 5 : audrey hepburn | 1994 (41 years) | 1993 | 1994 | 1953 | 1954 row 6 : marvin hamlisch | 1995 (23 years) | 1995 | 1974 | 1973 | 1976 row 7 : jonathan tunick | 1997 (20 years) | 1982 | 1988 | 1977 | 1997 row 8 : mel brooks | 2001 (34 years) | 1967 | 1998 | 1968 | 2001 row 9 : mike nichols | 2001 (40 years) | 2001 | 1961 | 1967 | 1964 row 10 : whoopi goldberg | 2002 (17 years) | 2002, | 1985 | 1990 | 2002 row 11 : scott rudin | 2012 (28 years) | 1984 | 2012 | 2007 | 1994 row 12 : robert lopez | 2014 (10 years) | 2008 | 2012 | 2014 | 2004
|
table_csv/204_673.csv
| 0 |
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|
[
"how many winners are listed?"
] | 0 |
richard rodgers, helen hayes, rita moreno, john gielgud, audrey hepburn, marvin hamlisch, jonathan tunick, mel brooks, mike nichols, whoopi goldberg, scott rudin, robert lopez
|
[
"Name",
"EGOT completed",
"Emmy",
"Grammy",
"Oscar",
"Tony"
] |
how many winners are listed?
|
[
[
"Richard Rodgers",
"1962 (17 years)",
"1962",
"1960",
"1945",
"1950,"
],
[
"Helen Hayes",
"1977 (45 years)",
"1953",
"1977",
"1932",
"1947,"
],
[
"Rita Moreno",
"1977 (16 years)",
"1977",
"1972",
"1961",
"1975"
],
[
"John Gielgud",
"1991 (30 years)",
"1991",
"1979",
"1981",
"1961,"
],
[
"Audrey Hepburn",
"1994 (41 years)",
"1993",
"1994",
"1953",
"1954"
],
[
"Marvin Hamlisch",
"1995 (23 years)",
"1995",
"1974",
"1973",
"1976"
],
[
"Jonathan Tunick",
"1997 (20 years)",
"1982",
"1988",
"1977",
"1997"
],
[
"Mel Brooks",
"2001 (34 years)",
"1967",
"1998",
"1968",
"2001"
],
[
"Mike Nichols",
"2001 (40 years)",
"2001",
"1961",
"1967",
"1964"
],
[
"Whoopi Goldberg",
"2002 (17 years)",
"2002,",
"1985",
"1990",
"2002"
],
[
"Scott Rudin",
"2012 (28 years)",
"1984",
"2012",
"2007",
"1994"
],
[
"Robert Lopez",
"2014 (10 years)",
"2008",
"2012",
"2014",
"2004"
]
] |
[
"Richard Rodgers",
"Helen Hayes",
"Rita Moreno",
"John Gielgud",
"Audrey Hepburn",
"Marvin Hamlisch",
"Jonathan Tunick",
"Mel Brooks",
"Mike Nichols",
"Whoopi Goldberg",
"Scott Rudin",
"Robert Lopez"
] |
how many winners are listed? ||
|
nt-9500
|
col : name | egot completed | emmy | grammy | oscar | tony row 1 : richard rodgers | 1962 (17 years) | 1962 | 1960 | 1945 | 1950, row 2 : helen hayes | 1977 (45 years) | 1953 | 1977 | 1932 | 1947, row 3 : rita moreno | 1977 (16 years) | 1977 | 1972 | 1961 | 1975 row 4 : john gielgud | 1991 (30 years) | 1991 | 1979 | 1981 | 1961, row 5 : audrey hepburn | 1994 (41 years) | 1993 | 1994 | 1953 | 1954 row 6 : marvin hamlisch | 1995 (23 years) | 1995 | 1974 | 1973 | 1976 row 7 : jonathan tunick | 1997 (20 years) | 1982 | 1988 | 1977 | 1997 row 8 : mel brooks | 2001 (34 years) | 1967 | 1998 | 1968 | 2001 row 9 : mike nichols | 2001 (40 years) | 2001 | 1961 | 1967 | 1964 row 10 : whoopi goldberg | 2002 (17 years) | 2002, | 1985 | 1990 | 2002 row 11 : scott rudin | 2012 (28 years) | 1984 | 2012 | 2007 | 1994 row 12 : robert lopez | 2014 (10 years) | 2008 | 2012 | 2014 | 2004
|
table_csv/204_673.csv
| 1 |
{
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3
],
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]
}
|
[
"how many winners are listed?",
"what year did scott rudin win a grammy?"
] | 0 |
2012
|
[
"Name",
"EGOT completed",
"Emmy",
"Grammy",
"Oscar",
"Tony"
] |
what year did scott rudin win a grammy?
|
[
[
"Richard Rodgers",
"1962 (17 years)",
"1962",
"1960",
"1945",
"1950,"
],
[
"Helen Hayes",
"1977 (45 years)",
"1953",
"1977",
"1932",
"1947,"
],
[
"Rita Moreno",
"1977 (16 years)",
"1977",
"1972",
"1961",
"1975"
],
[
"John Gielgud",
"1991 (30 years)",
"1991",
"1979",
"1981",
"1961,"
],
[
"Audrey Hepburn",
"1994 (41 years)",
"1993",
"1994",
"1953",
"1954"
],
[
"Marvin Hamlisch",
"1995 (23 years)",
"1995",
"1974",
"1973",
"1976"
],
[
"Jonathan Tunick",
"1997 (20 years)",
"1982",
"1988",
"1977",
"1997"
],
[
"Mel Brooks",
"2001 (34 years)",
"1967",
"1998",
"1968",
"2001"
],
[
"Mike Nichols",
"2001 (40 years)",
"2001",
"1961",
"1967",
"1964"
],
[
"Whoopi Goldberg",
"2002 (17 years)",
"2002,",
"1985",
"1990",
"2002"
],
[
"Scott Rudin",
"2012 (28 years)",
"1984",
"2012",
"2007",
"1994"
],
[
"Robert Lopez",
"2014 (10 years)",
"2008",
"2012",
"2014",
"2004"
]
] |
[
"2012"
] |
what year did scott rudin win a grammy? || how many winners are listed?
|
nt-9500
|
col : name | egot completed | emmy | grammy | oscar | tony row 1 : richard rodgers | 1962 (17 years) | 1962 | 1960 | 1945 | 1950, row 2 : helen hayes | 1977 (45 years) | 1953 | 1977 | 1932 | 1947, row 3 : rita moreno | 1977 (16 years) | 1977 | 1972 | 1961 | 1975 row 4 : john gielgud | 1991 (30 years) | 1991 | 1979 | 1981 | 1961, row 5 : audrey hepburn | 1994 (41 years) | 1993 | 1994 | 1953 | 1954 row 6 : marvin hamlisch | 1995 (23 years) | 1995 | 1974 | 1973 | 1976 row 7 : jonathan tunick | 1997 (20 years) | 1982 | 1988 | 1977 | 1997 row 8 : mel brooks | 2001 (34 years) | 1967 | 1998 | 1968 | 2001 row 9 : mike nichols | 2001 (40 years) | 2001 | 1961 | 1967 | 1964 row 10 : whoopi goldberg | 2002 (17 years) | 2002, | 1985 | 1990 | 2002 row 11 : scott rudin | 2012 (28 years) | 1984 | 2012 | 2007 | 1994 row 12 : robert lopez | 2014 (10 years) | 2008 | 2012 | 2014 | 2004
|
table_csv/204_673.csv
| 2 |
{
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|
[
"how many winners are listed?",
"what year did scott rudin win a grammy?",
"who else one a grammy that same year?"
] | 0 |
robert lopez
|
[
"Name",
"EGOT completed",
"Emmy",
"Grammy",
"Oscar",
"Tony"
] |
who else one a grammy that same year?
|
[
[
"Richard Rodgers",
"1962 (17 years)",
"1962",
"1960",
"1945",
"1950,"
],
[
"Helen Hayes",
"1977 (45 years)",
"1953",
"1977",
"1932",
"1947,"
],
[
"Rita Moreno",
"1977 (16 years)",
"1977",
"1972",
"1961",
"1975"
],
[
"John Gielgud",
"1991 (30 years)",
"1991",
"1979",
"1981",
"1961,"
],
[
"Audrey Hepburn",
"1994 (41 years)",
"1993",
"1994",
"1953",
"1954"
],
[
"Marvin Hamlisch",
"1995 (23 years)",
"1995",
"1974",
"1973",
"1976"
],
[
"Jonathan Tunick",
"1997 (20 years)",
"1982",
"1988",
"1977",
"1997"
],
[
"Mel Brooks",
"2001 (34 years)",
"1967",
"1998",
"1968",
"2001"
],
[
"Mike Nichols",
"2001 (40 years)",
"2001",
"1961",
"1967",
"1964"
],
[
"Whoopi Goldberg",
"2002 (17 years)",
"2002,",
"1985",
"1990",
"2002"
],
[
"Scott Rudin",
"2012 (28 years)",
"1984",
"2012",
"2007",
"1994"
],
[
"Robert Lopez",
"2014 (10 years)",
"2008",
"2012",
"2014",
"2004"
]
] |
[
"Robert Lopez"
] |
who else one a grammy that same year? || what year did scott rudin win a grammy? | how many winners are listed?
|
nt-9500
|
col : name | egot completed | emmy | grammy | oscar | tony row 1 : richard rodgers | 1962 (17 years) | 1962 | 1960 | 1945 | 1950, row 2 : helen hayes | 1977 (45 years) | 1953 | 1977 | 1932 | 1947, row 3 : rita moreno | 1977 (16 years) | 1977 | 1972 | 1961 | 1975 row 4 : john gielgud | 1991 (30 years) | 1991 | 1979 | 1981 | 1961, row 5 : audrey hepburn | 1994 (41 years) | 1993 | 1994 | 1953 | 1954 row 6 : marvin hamlisch | 1995 (23 years) | 1995 | 1974 | 1973 | 1976 row 7 : jonathan tunick | 1997 (20 years) | 1982 | 1988 | 1977 | 1997 row 8 : mel brooks | 2001 (34 years) | 1967 | 1998 | 1968 | 2001 row 9 : mike nichols | 2001 (40 years) | 2001 | 1961 | 1967 | 1964 row 10 : whoopi goldberg | 2002 (17 years) | 2002, | 1985 | 1990 | 2002 row 11 : scott rudin | 2012 (28 years) | 1984 | 2012 | 2007 | 1994 row 12 : robert lopez | 2014 (10 years) | 2008 | 2012 | 2014 | 2004
|
table_csv/204_673.csv
| 0 |
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[
"who where the people who have won academy, emmy, grammy, and tony awards?"
] | 1 |
richard rodgers, helen hayes, rita moreno, john gielgud, audrey hepburn, marvin hamlisch, jonathan tunick, mel brooks, mike nichols, whoopi goldberg, scott rudin, robert lopez
|
[
"Name",
"EGOT completed",
"Emmy",
"Grammy",
"Oscar",
"Tony"
] |
who where the people who have won academy, emmy, grammy, and tony awards?
|
[
[
"Richard Rodgers",
"1962 (17 years)",
"1962",
"1960",
"1945",
"1950,"
],
[
"Helen Hayes",
"1977 (45 years)",
"1953",
"1977",
"1932",
"1947,"
],
[
"Rita Moreno",
"1977 (16 years)",
"1977",
"1972",
"1961",
"1975"
],
[
"John Gielgud",
"1991 (30 years)",
"1991",
"1979",
"1981",
"1961,"
],
[
"Audrey Hepburn",
"1994 (41 years)",
"1993",
"1994",
"1953",
"1954"
],
[
"Marvin Hamlisch",
"1995 (23 years)",
"1995",
"1974",
"1973",
"1976"
],
[
"Jonathan Tunick",
"1997 (20 years)",
"1982",
"1988",
"1977",
"1997"
],
[
"Mel Brooks",
"2001 (34 years)",
"1967",
"1998",
"1968",
"2001"
],
[
"Mike Nichols",
"2001 (40 years)",
"2001",
"1961",
"1967",
"1964"
],
[
"Whoopi Goldberg",
"2002 (17 years)",
"2002,",
"1985",
"1990",
"2002"
],
[
"Scott Rudin",
"2012 (28 years)",
"1984",
"2012",
"2007",
"1994"
],
[
"Robert Lopez",
"2014 (10 years)",
"2008",
"2012",
"2014",
"2004"
]
] |
[
"Richard Rodgers",
"Helen Hayes",
"Rita Moreno",
"John Gielgud",
"Audrey Hepburn",
"Marvin Hamlisch",
"Jonathan Tunick",
"Mel Brooks",
"Mike Nichols",
"Whoopi Goldberg",
"Scott Rudin",
"Robert Lopez"
] |
who where the people who have won academy, emmy, grammy, and tony awards? ||
|
nt-9500
|
col : name | egot completed | emmy | grammy | oscar | tony row 1 : richard rodgers | 1962 (17 years) | 1962 | 1960 | 1945 | 1950, row 2 : helen hayes | 1977 (45 years) | 1953 | 1977 | 1932 | 1947, row 3 : rita moreno | 1977 (16 years) | 1977 | 1972 | 1961 | 1975 row 4 : john gielgud | 1991 (30 years) | 1991 | 1979 | 1981 | 1961, row 5 : audrey hepburn | 1994 (41 years) | 1993 | 1994 | 1953 | 1954 row 6 : marvin hamlisch | 1995 (23 years) | 1995 | 1974 | 1973 | 1976 row 7 : jonathan tunick | 1997 (20 years) | 1982 | 1988 | 1977 | 1997 row 8 : mel brooks | 2001 (34 years) | 1967 | 1998 | 1968 | 2001 row 9 : mike nichols | 2001 (40 years) | 2001 | 1961 | 1967 | 1964 row 10 : whoopi goldberg | 2002 (17 years) | 2002, | 1985 | 1990 | 2002 row 11 : scott rudin | 2012 (28 years) | 1984 | 2012 | 2007 | 1994 row 12 : robert lopez | 2014 (10 years) | 2008 | 2012 | 2014 | 2004
|
table_csv/204_673.csv
| 1 |
{
"column_index": [
0
],
"row_index": [
11
]
}
|
[
"who where the people who have won academy, emmy, grammy, and tony awards?",
"what year did scott rudin win a grammy one?"
] | 1 |
robert lopez
|
[
"Name",
"EGOT completed",
"Emmy",
"Grammy",
"Oscar",
"Tony"
] |
what year did scott rudin win a grammy one?
|
[
[
"Richard Rodgers",
"1962 (17 years)",
"1962",
"1960",
"1945",
"1950,"
],
[
"Helen Hayes",
"1977 (45 years)",
"1953",
"1977",
"1932",
"1947,"
],
[
"Rita Moreno",
"1977 (16 years)",
"1977",
"1972",
"1961",
"1975"
],
[
"John Gielgud",
"1991 (30 years)",
"1991",
"1979",
"1981",
"1961,"
],
[
"Audrey Hepburn",
"1994 (41 years)",
"1993",
"1994",
"1953",
"1954"
],
[
"Marvin Hamlisch",
"1995 (23 years)",
"1995",
"1974",
"1973",
"1976"
],
[
"Jonathan Tunick",
"1997 (20 years)",
"1982",
"1988",
"1977",
"1997"
],
[
"Mel Brooks",
"2001 (34 years)",
"1967",
"1998",
"1968",
"2001"
],
[
"Mike Nichols",
"2001 (40 years)",
"2001",
"1961",
"1967",
"1964"
],
[
"Whoopi Goldberg",
"2002 (17 years)",
"2002,",
"1985",
"1990",
"2002"
],
[
"Scott Rudin",
"2012 (28 years)",
"1984",
"2012",
"2007",
"1994"
],
[
"Robert Lopez",
"2014 (10 years)",
"2008",
"2012",
"2014",
"2004"
]
] |
[
"Robert Lopez"
] |
what year did scott rudin win a grammy one? || who where the people who have won academy, emmy, grammy, and tony awards?
|
nt-9500
|
col : name | egot completed | emmy | grammy | oscar | tony row 1 : richard rodgers | 1962 (17 years) | 1962 | 1960 | 1945 | 1950, row 2 : helen hayes | 1977 (45 years) | 1953 | 1977 | 1932 | 1947, row 3 : rita moreno | 1977 (16 years) | 1977 | 1972 | 1961 | 1975 row 4 : john gielgud | 1991 (30 years) | 1991 | 1979 | 1981 | 1961, row 5 : audrey hepburn | 1994 (41 years) | 1993 | 1994 | 1953 | 1954 row 6 : marvin hamlisch | 1995 (23 years) | 1995 | 1974 | 1973 | 1976 row 7 : jonathan tunick | 1997 (20 years) | 1982 | 1988 | 1977 | 1997 row 8 : mel brooks | 2001 (34 years) | 1967 | 1998 | 1968 | 2001 row 9 : mike nichols | 2001 (40 years) | 2001 | 1961 | 1967 | 1964 row 10 : whoopi goldberg | 2002 (17 years) | 2002, | 1985 | 1990 | 2002 row 11 : scott rudin | 2012 (28 years) | 1984 | 2012 | 2007 | 1994 row 12 : robert lopez | 2014 (10 years) | 2008 | 2012 | 2014 | 2004
|
table_csv/204_673.csv
| 0 |
{
"column_index": [
0
],
"row_index": [
0
]
}
|
[
"who won the grammy in 1960?"
] | 2 |
richard rodgers
|
[
"Name",
"EGOT completed",
"Emmy",
"Grammy",
"Oscar",
"Tony"
] |
who won the grammy in 1960?
|
[
[
"Richard Rodgers",
"1962 (17 years)",
"1962",
"1960",
"1945",
"1950,"
],
[
"Helen Hayes",
"1977 (45 years)",
"1953",
"1977",
"1932",
"1947,"
],
[
"Rita Moreno",
"1977 (16 years)",
"1977",
"1972",
"1961",
"1975"
],
[
"John Gielgud",
"1991 (30 years)",
"1991",
"1979",
"1981",
"1961,"
],
[
"Audrey Hepburn",
"1994 (41 years)",
"1993",
"1994",
"1953",
"1954"
],
[
"Marvin Hamlisch",
"1995 (23 years)",
"1995",
"1974",
"1973",
"1976"
],
[
"Jonathan Tunick",
"1997 (20 years)",
"1982",
"1988",
"1977",
"1997"
],
[
"Mel Brooks",
"2001 (34 years)",
"1967",
"1998",
"1968",
"2001"
],
[
"Mike Nichols",
"2001 (40 years)",
"2001",
"1961",
"1967",
"1964"
],
[
"Whoopi Goldberg",
"2002 (17 years)",
"2002,",
"1985",
"1990",
"2002"
],
[
"Scott Rudin",
"2012 (28 years)",
"1984",
"2012",
"2007",
"1994"
],
[
"Robert Lopez",
"2014 (10 years)",
"2008",
"2012",
"2014",
"2004"
]
] |
[
"Richard Rodgers"
] |
who won the grammy in 1960? ||
|
nt-9500
|
col : name | egot completed | emmy | grammy | oscar | tony row 1 : richard rodgers | 1962 (17 years) | 1962 | 1960 | 1945 | 1950, row 2 : helen hayes | 1977 (45 years) | 1953 | 1977 | 1932 | 1947, row 3 : rita moreno | 1977 (16 years) | 1977 | 1972 | 1961 | 1975 row 4 : john gielgud | 1991 (30 years) | 1991 | 1979 | 1981 | 1961, row 5 : audrey hepburn | 1994 (41 years) | 1993 | 1994 | 1953 | 1954 row 6 : marvin hamlisch | 1995 (23 years) | 1995 | 1974 | 1973 | 1976 row 7 : jonathan tunick | 1997 (20 years) | 1982 | 1988 | 1977 | 1997 row 8 : mel brooks | 2001 (34 years) | 1967 | 1998 | 1968 | 2001 row 9 : mike nichols | 2001 (40 years) | 2001 | 1961 | 1967 | 1964 row 10 : whoopi goldberg | 2002 (17 years) | 2002, | 1985 | 1990 | 2002 row 11 : scott rudin | 2012 (28 years) | 1984 | 2012 | 2007 | 1994 row 12 : robert lopez | 2014 (10 years) | 2008 | 2012 | 2014 | 2004
|
table_csv/204_673.csv
| 1 |
{
"column_index": [
0
],
"row_index": [
6
]
}
|
[
"who won the grammy in 1960?",
"who won the grammy in 1998?"
] | 2 |
jonathan tunick
|
[
"Name",
"EGOT completed",
"Emmy",
"Grammy",
"Oscar",
"Tony"
] |
who won the grammy in 1998?
|
[
[
"Richard Rodgers",
"1962 (17 years)",
"1962",
"1960",
"1945",
"1950,"
],
[
"Helen Hayes",
"1977 (45 years)",
"1953",
"1977",
"1932",
"1947,"
],
[
"Rita Moreno",
"1977 (16 years)",
"1977",
"1972",
"1961",
"1975"
],
[
"John Gielgud",
"1991 (30 years)",
"1991",
"1979",
"1981",
"1961,"
],
[
"Audrey Hepburn",
"1994 (41 years)",
"1993",
"1994",
"1953",
"1954"
],
[
"Marvin Hamlisch",
"1995 (23 years)",
"1995",
"1974",
"1973",
"1976"
],
[
"Jonathan Tunick",
"1997 (20 years)",
"1982",
"1988",
"1977",
"1997"
],
[
"Mel Brooks",
"2001 (34 years)",
"1967",
"1998",
"1968",
"2001"
],
[
"Mike Nichols",
"2001 (40 years)",
"2001",
"1961",
"1967",
"1964"
],
[
"Whoopi Goldberg",
"2002 (17 years)",
"2002,",
"1985",
"1990",
"2002"
],
[
"Scott Rudin",
"2012 (28 years)",
"1984",
"2012",
"2007",
"1994"
],
[
"Robert Lopez",
"2014 (10 years)",
"2008",
"2012",
"2014",
"2004"
]
] |
[
"Jonathan Tunick"
] |
who won the grammy in 1998? || who won the grammy in 1960?
|
nt-9500
|
col : name | egot completed | emmy | grammy | oscar | tony row 1 : richard rodgers | 1962 (17 years) | 1962 | 1960 | 1945 | 1950, row 2 : helen hayes | 1977 (45 years) | 1953 | 1977 | 1932 | 1947, row 3 : rita moreno | 1977 (16 years) | 1977 | 1972 | 1961 | 1975 row 4 : john gielgud | 1991 (30 years) | 1991 | 1979 | 1981 | 1961, row 5 : audrey hepburn | 1994 (41 years) | 1993 | 1994 | 1953 | 1954 row 6 : marvin hamlisch | 1995 (23 years) | 1995 | 1974 | 1973 | 1976 row 7 : jonathan tunick | 1997 (20 years) | 1982 | 1988 | 1977 | 1997 row 8 : mel brooks | 2001 (34 years) | 1967 | 1998 | 1968 | 2001 row 9 : mike nichols | 2001 (40 years) | 2001 | 1961 | 1967 | 1964 row 10 : whoopi goldberg | 2002 (17 years) | 2002, | 1985 | 1990 | 2002 row 11 : scott rudin | 2012 (28 years) | 1984 | 2012 | 2007 | 1994 row 12 : robert lopez | 2014 (10 years) | 2008 | 2012 | 2014 | 2004
|
table_csv/204_673.csv
| 2 |
{
"column_index": [
0
],
"row_index": [
11
]
}
|
[
"who won the grammy in 1960?",
"who won the grammy in 1998?",
"who won in 2012 along with scott rudin?"
] | 2 |
robert lopez
|
[
"Name",
"EGOT completed",
"Emmy",
"Grammy",
"Oscar",
"Tony"
] |
who won in 2012 along with scott rudin?
|
[
[
"Richard Rodgers",
"1962 (17 years)",
"1962",
"1960",
"1945",
"1950,"
],
[
"Helen Hayes",
"1977 (45 years)",
"1953",
"1977",
"1932",
"1947,"
],
[
"Rita Moreno",
"1977 (16 years)",
"1977",
"1972",
"1961",
"1975"
],
[
"John Gielgud",
"1991 (30 years)",
"1991",
"1979",
"1981",
"1961,"
],
[
"Audrey Hepburn",
"1994 (41 years)",
"1993",
"1994",
"1953",
"1954"
],
[
"Marvin Hamlisch",
"1995 (23 years)",
"1995",
"1974",
"1973",
"1976"
],
[
"Jonathan Tunick",
"1997 (20 years)",
"1982",
"1988",
"1977",
"1997"
],
[
"Mel Brooks",
"2001 (34 years)",
"1967",
"1998",
"1968",
"2001"
],
[
"Mike Nichols",
"2001 (40 years)",
"2001",
"1961",
"1967",
"1964"
],
[
"Whoopi Goldberg",
"2002 (17 years)",
"2002,",
"1985",
"1990",
"2002"
],
[
"Scott Rudin",
"2012 (28 years)",
"1984",
"2012",
"2007",
"1994"
],
[
"Robert Lopez",
"2014 (10 years)",
"2008",
"2012",
"2014",
"2004"
]
] |
[
"Robert Lopez"
] |
who won in 2012 along with scott rudin? || who won the grammy in 1998? | who won the grammy in 1960?
|
nt-2261
|
col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20,576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37,641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland | 4,576 | midshipmen | 30 | 1963 | mike flanagan row 4 : north carolina | chapel hill, north carolina | 29,340 | tar heels | 28 | 1966 | pete earsman row 5 : north carolina state | raleigh, north carolina | 34,767 | wolfpack | 25 | 1965 | jim latham row 6 : university of virginia | charlottesville, virginia | 20,895 | cavaliers | 25 | 1961 | jon roberts row 7 : virginia tech | blacksburg, virginia | 30,379 | hokies | 21 | 1891 / 1968 | andy richards row 8 : wake forest | winston-salem, north carolina | 7,079 | demon deacons | 18 | 1973 | patrick kane
|
table_csv/204_442.csv
| 0 |
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|
[
"what are all the recorded enrollments?"
] | 0 |
20,576, 37,641, 4,576, 29,340, 34,767, 20,895, 30,379, 7,079
|
[
"Institution",
"Location",
"Enrollment",
"Nickname",
"Varsity Sports",
"Rugby Since",
"Head Coach"
] |
what are all the recorded enrollments?
|
[
[
"Clemson University",
"Clemson, South Carolina",
"20,576",
"Tigers",
"19",
"1967",
"Justin Hickey"
],
[
"Maryland",
"College Park, Maryland",
"37,641",
"Terrapins",
"20",
"1968",
"Jeff Soeken"
],
[
"Navy",
"Annapolis, Maryland",
"4,576",
"Midshipmen",
"30",
"1963",
"Mike Flanagan"
],
[
"North Carolina",
"Chapel Hill, North Carolina",
"29,340",
"Tar Heels",
"28",
"1966",
"Pete Earsman"
],
[
"North Carolina State",
"Raleigh, North Carolina",
"34,767",
"Wolfpack",
"25",
"1965",
"Jim Latham"
],
[
"University of Virginia",
"Charlottesville, Virginia",
"20,895",
"Cavaliers",
"25",
"1961",
"Jon Roberts"
],
[
"Virginia Tech",
"Blacksburg, Virginia",
"30,379",
"Hokies",
"21",
"1891 / 1968",
"Andy Richards"
],
[
"Wake Forest",
"Winston-Salem, North Carolina",
"7,079",
"Demon Deacons",
"18",
"1973",
"Patrick Kane"
]
] |
[
"20,576",
"37,641",
"4,576",
"29,340",
"34,767",
"20,895",
"30,379",
"7,079"
] |
what are all the recorded enrollments? ||
|
nt-2261
|
col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20,576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37,641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland | 4,576 | midshipmen | 30 | 1963 | mike flanagan row 4 : north carolina | chapel hill, north carolina | 29,340 | tar heels | 28 | 1966 | pete earsman row 5 : north carolina state | raleigh, north carolina | 34,767 | wolfpack | 25 | 1965 | jim latham row 6 : university of virginia | charlottesville, virginia | 20,895 | cavaliers | 25 | 1961 | jon roberts row 7 : virginia tech | blacksburg, virginia | 30,379 | hokies | 21 | 1891 / 1968 | andy richards row 8 : wake forest | winston-salem, north carolina | 7,079 | demon deacons | 18 | 1973 | patrick kane
|
table_csv/204_442.csv
| 1 |
{
"column_index": [
2
],
"row_index": [
0
]
}
|
[
"what are all the recorded enrollments?",
"which of these occurred in 1967?"
] | 0 |
20,576
|
[
"Institution",
"Location",
"Enrollment",
"Nickname",
"Varsity Sports",
"Rugby Since",
"Head Coach"
] |
which of these occurred in 1967?
|
[
[
"Clemson University",
"Clemson, South Carolina",
"20,576",
"Tigers",
"19",
"1967",
"Justin Hickey"
],
[
"Maryland",
"College Park, Maryland",
"37,641",
"Terrapins",
"20",
"1968",
"Jeff Soeken"
],
[
"Navy",
"Annapolis, Maryland",
"4,576",
"Midshipmen",
"30",
"1963",
"Mike Flanagan"
],
[
"North Carolina",
"Chapel Hill, North Carolina",
"29,340",
"Tar Heels",
"28",
"1966",
"Pete Earsman"
],
[
"North Carolina State",
"Raleigh, North Carolina",
"34,767",
"Wolfpack",
"25",
"1965",
"Jim Latham"
],
[
"University of Virginia",
"Charlottesville, Virginia",
"20,895",
"Cavaliers",
"25",
"1961",
"Jon Roberts"
],
[
"Virginia Tech",
"Blacksburg, Virginia",
"30,379",
"Hokies",
"21",
"1891 / 1968",
"Andy Richards"
],
[
"Wake Forest",
"Winston-Salem, North Carolina",
"7,079",
"Demon Deacons",
"18",
"1973",
"Patrick Kane"
]
] |
[
"20,576"
] |
which of these occurred in 1967? || what are all the recorded enrollments?
|
nt-2261
|
col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20,576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37,641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland | 4,576 | midshipmen | 30 | 1963 | mike flanagan row 4 : north carolina | chapel hill, north carolina | 29,340 | tar heels | 28 | 1966 | pete earsman row 5 : north carolina state | raleigh, north carolina | 34,767 | wolfpack | 25 | 1965 | jim latham row 6 : university of virginia | charlottesville, virginia | 20,895 | cavaliers | 25 | 1961 | jon roberts row 7 : virginia tech | blacksburg, virginia | 30,379 | hokies | 21 | 1891 / 1968 | andy richards row 8 : wake forest | winston-salem, north carolina | 7,079 | demon deacons | 18 | 1973 | patrick kane
|
table_csv/204_442.csv
| 0 |
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|
[
"what were the institutions?"
] | 1 |
clemson university, 1967, maryland, 1968, navy, 1963, north carolina, 1966, north carolina state, 1965, university of virginia, 1961, virginia tech, 1891 / 1968, wake forest, 1973
|
[
"Institution",
"Location",
"Enrollment",
"Nickname",
"Varsity Sports",
"Rugby Since",
"Head Coach"
] |
what were the institutions?
|
[
[
"Clemson University",
"Clemson, South Carolina",
"20,576",
"Tigers",
"19",
"1967",
"Justin Hickey"
],
[
"Maryland",
"College Park, Maryland",
"37,641",
"Terrapins",
"20",
"1968",
"Jeff Soeken"
],
[
"Navy",
"Annapolis, Maryland",
"4,576",
"Midshipmen",
"30",
"1963",
"Mike Flanagan"
],
[
"North Carolina",
"Chapel Hill, North Carolina",
"29,340",
"Tar Heels",
"28",
"1966",
"Pete Earsman"
],
[
"North Carolina State",
"Raleigh, North Carolina",
"34,767",
"Wolfpack",
"25",
"1965",
"Jim Latham"
],
[
"University of Virginia",
"Charlottesville, Virginia",
"20,895",
"Cavaliers",
"25",
"1961",
"Jon Roberts"
],
[
"Virginia Tech",
"Blacksburg, Virginia",
"30,379",
"Hokies",
"21",
"1891 / 1968",
"Andy Richards"
],
[
"Wake Forest",
"Winston-Salem, North Carolina",
"7,079",
"Demon Deacons",
"18",
"1973",
"Patrick Kane"
]
] |
[
"Clemson University",
"1967",
"Maryland",
"1968",
"Navy",
"1963",
"North Carolina",
"1966",
"North Carolina State",
"1965",
"University of Virginia",
"1961",
"Virginia Tech",
"1891 / 1968",
"Wake Forest",
"1973"
] |
what were the institutions? ||
|
nt-2261
|
col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20,576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37,641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland | 4,576 | midshipmen | 30 | 1963 | mike flanagan row 4 : north carolina | chapel hill, north carolina | 29,340 | tar heels | 28 | 1966 | pete earsman row 5 : north carolina state | raleigh, north carolina | 34,767 | wolfpack | 25 | 1965 | jim latham row 6 : university of virginia | charlottesville, virginia | 20,895 | cavaliers | 25 | 1961 | jon roberts row 7 : virginia tech | blacksburg, virginia | 30,379 | hokies | 21 | 1891 / 1968 | andy richards row 8 : wake forest | winston-salem, north carolina | 7,079 | demon deacons | 18 | 1973 | patrick kane
|
table_csv/204_442.csv
| 1 |
{
"column_index": [
0
],
"row_index": [
0
]
}
|
[
"what were the institutions?",
"which one had rugby since 1967?"
] | 1 |
clemson university
|
[
"Institution",
"Location",
"Enrollment",
"Nickname",
"Varsity Sports",
"Rugby Since",
"Head Coach"
] |
which one had rugby since 1967?
|
[
[
"Clemson University",
"Clemson, South Carolina",
"20,576",
"Tigers",
"19",
"1967",
"Justin Hickey"
],
[
"Maryland",
"College Park, Maryland",
"37,641",
"Terrapins",
"20",
"1968",
"Jeff Soeken"
],
[
"Navy",
"Annapolis, Maryland",
"4,576",
"Midshipmen",
"30",
"1963",
"Mike Flanagan"
],
[
"North Carolina",
"Chapel Hill, North Carolina",
"29,340",
"Tar Heels",
"28",
"1966",
"Pete Earsman"
],
[
"North Carolina State",
"Raleigh, North Carolina",
"34,767",
"Wolfpack",
"25",
"1965",
"Jim Latham"
],
[
"University of Virginia",
"Charlottesville, Virginia",
"20,895",
"Cavaliers",
"25",
"1961",
"Jon Roberts"
],
[
"Virginia Tech",
"Blacksburg, Virginia",
"30,379",
"Hokies",
"21",
"1891 / 1968",
"Andy Richards"
],
[
"Wake Forest",
"Winston-Salem, North Carolina",
"7,079",
"Demon Deacons",
"18",
"1973",
"Patrick Kane"
]
] |
[
"Clemson University"
] |
which one had rugby since 1967? || what were the institutions?
|
nt-2261
|
col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20,576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37,641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland | 4,576 | midshipmen | 30 | 1963 | mike flanagan row 4 : north carolina | chapel hill, north carolina | 29,340 | tar heels | 28 | 1966 | pete earsman row 5 : north carolina state | raleigh, north carolina | 34,767 | wolfpack | 25 | 1965 | jim latham row 6 : university of virginia | charlottesville, virginia | 20,895 | cavaliers | 25 | 1961 | jon roberts row 7 : virginia tech | blacksburg, virginia | 30,379 | hokies | 21 | 1891 / 1968 | andy richards row 8 : wake forest | winston-salem, north carolina | 7,079 | demon deacons | 18 | 1973 | patrick kane
|
table_csv/204_442.csv
| 2 |
{
"column_index": [
2
],
"row_index": [
0
]
}
|
[
"what were the institutions?",
"which one had rugby since 1967?",
"how many people did it enroll?"
] | 1 |
20,576
|
[
"Institution",
"Location",
"Enrollment",
"Nickname",
"Varsity Sports",
"Rugby Since",
"Head Coach"
] |
how many people did it enroll?
|
[
[
"Clemson University",
"Clemson, South Carolina",
"20,576",
"Tigers",
"19",
"1967",
"Justin Hickey"
],
[
"Maryland",
"College Park, Maryland",
"37,641",
"Terrapins",
"20",
"1968",
"Jeff Soeken"
],
[
"Navy",
"Annapolis, Maryland",
"4,576",
"Midshipmen",
"30",
"1963",
"Mike Flanagan"
],
[
"North Carolina",
"Chapel Hill, North Carolina",
"29,340",
"Tar Heels",
"28",
"1966",
"Pete Earsman"
],
[
"North Carolina State",
"Raleigh, North Carolina",
"34,767",
"Wolfpack",
"25",
"1965",
"Jim Latham"
],
[
"University of Virginia",
"Charlottesville, Virginia",
"20,895",
"Cavaliers",
"25",
"1961",
"Jon Roberts"
],
[
"Virginia Tech",
"Blacksburg, Virginia",
"30,379",
"Hokies",
"21",
"1891 / 1968",
"Andy Richards"
],
[
"Wake Forest",
"Winston-Salem, North Carolina",
"7,079",
"Demon Deacons",
"18",
"1973",
"Patrick Kane"
]
] |
[
"20,576"
] |
how many people did it enroll? || which one had rugby since 1967? | what were the institutions?
|
nt-2261
|
col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20,576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37,641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland | 4,576 | midshipmen | 30 | 1963 | mike flanagan row 4 : north carolina | chapel hill, north carolina | 29,340 | tar heels | 28 | 1966 | pete earsman row 5 : north carolina state | raleigh, north carolina | 34,767 | wolfpack | 25 | 1965 | jim latham row 6 : university of virginia | charlottesville, virginia | 20,895 | cavaliers | 25 | 1961 | jon roberts row 7 : virginia tech | blacksburg, virginia | 30,379 | hokies | 21 | 1891 / 1968 | andy richards row 8 : wake forest | winston-salem, north carolina | 7,079 | demon deacons | 18 | 1973 | patrick kane
|
table_csv/204_442.csv
| 0 |
{
"column_index": [
5,
5,
5,
5,
5,
5,
5,
5
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
}
|
[
"what are the years of enrollment?"
] | 2 |
1967, 1968, 1963, 1966, 1965, 1961, 1891 / 1968, 1973
|
[
"Institution",
"Location",
"Enrollment",
"Nickname",
"Varsity Sports",
"Rugby Since",
"Head Coach"
] |
what are the years of enrollment?
|
[
[
"Clemson University",
"Clemson, South Carolina",
"20,576",
"Tigers",
"19",
"1967",
"Justin Hickey"
],
[
"Maryland",
"College Park, Maryland",
"37,641",
"Terrapins",
"20",
"1968",
"Jeff Soeken"
],
[
"Navy",
"Annapolis, Maryland",
"4,576",
"Midshipmen",
"30",
"1963",
"Mike Flanagan"
],
[
"North Carolina",
"Chapel Hill, North Carolina",
"29,340",
"Tar Heels",
"28",
"1966",
"Pete Earsman"
],
[
"North Carolina State",
"Raleigh, North Carolina",
"34,767",
"Wolfpack",
"25",
"1965",
"Jim Latham"
],
[
"University of Virginia",
"Charlottesville, Virginia",
"20,895",
"Cavaliers",
"25",
"1961",
"Jon Roberts"
],
[
"Virginia Tech",
"Blacksburg, Virginia",
"30,379",
"Hokies",
"21",
"1891 / 1968",
"Andy Richards"
],
[
"Wake Forest",
"Winston-Salem, North Carolina",
"7,079",
"Demon Deacons",
"18",
"1973",
"Patrick Kane"
]
] |
[
"1967",
"1968",
"1963",
"1966",
"1965",
"1961",
"1891 / 1968",
"1973"
] |
what are the years of enrollment? ||
|
nt-2261
|
col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20,576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37,641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland | 4,576 | midshipmen | 30 | 1963 | mike flanagan row 4 : north carolina | chapel hill, north carolina | 29,340 | tar heels | 28 | 1966 | pete earsman row 5 : north carolina state | raleigh, north carolina | 34,767 | wolfpack | 25 | 1965 | jim latham row 6 : university of virginia | charlottesville, virginia | 20,895 | cavaliers | 25 | 1961 | jon roberts row 7 : virginia tech | blacksburg, virginia | 30,379 | hokies | 21 | 1891 / 1968 | andy richards row 8 : wake forest | winston-salem, north carolina | 7,079 | demon deacons | 18 | 1973 | patrick kane
|
table_csv/204_442.csv
| 1 |
{
"column_index": [
2,
2,
2,
2,
2,
2,
2,
2
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
}
|
[
"what are the years of enrollment?",
"what are the enrollment amounts?"
] | 2 |
20,576, 37,641, 4,576, 29,340, 34,767, 20,895, 30,379, 7,079
|
[
"Institution",
"Location",
"Enrollment",
"Nickname",
"Varsity Sports",
"Rugby Since",
"Head Coach"
] |
what are the enrollment amounts?
|
[
[
"Clemson University",
"Clemson, South Carolina",
"20,576",
"Tigers",
"19",
"1967",
"Justin Hickey"
],
[
"Maryland",
"College Park, Maryland",
"37,641",
"Terrapins",
"20",
"1968",
"Jeff Soeken"
],
[
"Navy",
"Annapolis, Maryland",
"4,576",
"Midshipmen",
"30",
"1963",
"Mike Flanagan"
],
[
"North Carolina",
"Chapel Hill, North Carolina",
"29,340",
"Tar Heels",
"28",
"1966",
"Pete Earsman"
],
[
"North Carolina State",
"Raleigh, North Carolina",
"34,767",
"Wolfpack",
"25",
"1965",
"Jim Latham"
],
[
"University of Virginia",
"Charlottesville, Virginia",
"20,895",
"Cavaliers",
"25",
"1961",
"Jon Roberts"
],
[
"Virginia Tech",
"Blacksburg, Virginia",
"30,379",
"Hokies",
"21",
"1891 / 1968",
"Andy Richards"
],
[
"Wake Forest",
"Winston-Salem, North Carolina",
"7,079",
"Demon Deacons",
"18",
"1973",
"Patrick Kane"
]
] |
[
"20,576",
"37,641",
"4,576",
"29,340",
"34,767",
"20,895",
"30,379",
"7,079"
] |
what are the enrollment amounts? || what are the years of enrollment?
|
nt-2261
|
col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20,576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37,641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland | 4,576 | midshipmen | 30 | 1963 | mike flanagan row 4 : north carolina | chapel hill, north carolina | 29,340 | tar heels | 28 | 1966 | pete earsman row 5 : north carolina state | raleigh, north carolina | 34,767 | wolfpack | 25 | 1965 | jim latham row 6 : university of virginia | charlottesville, virginia | 20,895 | cavaliers | 25 | 1961 | jon roberts row 7 : virginia tech | blacksburg, virginia | 30,379 | hokies | 21 | 1891 / 1968 | andy richards row 8 : wake forest | winston-salem, north carolina | 7,079 | demon deacons | 18 | 1973 | patrick kane
|
table_csv/204_442.csv
| 2 |
{
"column_index": [
2
],
"row_index": [
0
]
}
|
[
"what are the years of enrollment?",
"what are the enrollment amounts?",
"what was the enrollment amount in 1967?"
] | 2 |
20,576
|
[
"Institution",
"Location",
"Enrollment",
"Nickname",
"Varsity Sports",
"Rugby Since",
"Head Coach"
] |
what was the enrollment amount in 1967?
|
[
[
"Clemson University",
"Clemson, South Carolina",
"20,576",
"Tigers",
"19",
"1967",
"Justin Hickey"
],
[
"Maryland",
"College Park, Maryland",
"37,641",
"Terrapins",
"20",
"1968",
"Jeff Soeken"
],
[
"Navy",
"Annapolis, Maryland",
"4,576",
"Midshipmen",
"30",
"1963",
"Mike Flanagan"
],
[
"North Carolina",
"Chapel Hill, North Carolina",
"29,340",
"Tar Heels",
"28",
"1966",
"Pete Earsman"
],
[
"North Carolina State",
"Raleigh, North Carolina",
"34,767",
"Wolfpack",
"25",
"1965",
"Jim Latham"
],
[
"University of Virginia",
"Charlottesville, Virginia",
"20,895",
"Cavaliers",
"25",
"1961",
"Jon Roberts"
],
[
"Virginia Tech",
"Blacksburg, Virginia",
"30,379",
"Hokies",
"21",
"1891 / 1968",
"Andy Richards"
],
[
"Wake Forest",
"Winston-Salem, North Carolina",
"7,079",
"Demon Deacons",
"18",
"1973",
"Patrick Kane"
]
] |
[
"20,576"
] |
what was the enrollment amount in 1967? || what are the enrollment amounts? | what are the years of enrollment?
|
nt-11436
|
col : pos. | driver | co-driver | car | time row 1 : 1 | giandomenico basso | lorenzo granai | peugeot 207 s2000 | 2h28m50.8s row 2 : 2 | bruno magalhaes | nuno r. silva | peugeot 207 s2000 | +07.3s row 3 : 3 | miguel nunes | joao paulo | mitsubishi lancer x r4 | + 3m30.8s row 4 : 4 | pedro meireles | mario castro | skoda fabia s2000 | +3m42.5s row 5 : 5 | luca betti | francesco pezzoli | ford fiesta s2000 | +4m04.1s row 6 : 6 | filipe freitas | daniel figueiroa | mitsubishi lancer x r4 | +5m36s row 7 : 7 | filipe pires | vasco rodrigues | mitsubishi lancer x | +9m11.2s row 8 : 8 | luis serrado | joao sousa | peugeot 206 s1600 | +10m53.7s row 9 : 9 | jose camacho | fernando spinola | peugeot 206 s1600 | +13m08.3s row 10 : 10 | rui conceicao | duarte coelho | ford escort cosworth | +16m50.1s
|
table_csv/204_538.csv
| 0 |
{
"column_index": [
1
],
"row_index": [
0
]
}
|
[
"who finished first in the race?"
] | 0 |
giandomenico basso
|
[
"Pos.",
"Driver",
"Co-Driver",
"Car",
"Time"
] |
who finished first in the race?
|
[
[
"1",
"Giandomenico Basso",
"Lorenzo Granai",
"Peugeot 207 S2000",
"2h28m50.8s"
],
[
"2",
"Bruno Magalhaes",
"Nuno R. Silva",
"Peugeot 207 S2000",
"+07.3s"
],
[
"3",
"Miguel Nunes",
"Joao Paulo",
"Mitsubishi Lancer X R4",
"+ 3m30.8s"
],
[
"4",
"Pedro Meireles",
"Mario Castro",
"Skoda Fabia S2000",
"+3m42.5s"
],
[
"5",
"Luca Betti",
"Francesco Pezzoli",
"Ford Fiesta S2000",
"+4m04.1s"
],
[
"6",
"Filipe Freitas",
"Daniel Figueiroa",
"Mitsubishi Lancer X R4",
"+5m36s"
],
[
"7",
"Filipe Pires",
"Vasco Rodrigues",
"Mitsubishi Lancer X",
"+9m11.2s"
],
[
"8",
"Luis Serrado",
"Joao Sousa",
"Peugeot 206 S1600",
"+10m53.7s"
],
[
"9",
"Jose Camacho",
"Fernando Spinola",
"Peugeot 206 S1600",
"+13m08.3s"
],
[
"10",
"Rui Conceicao",
"Duarte Coelho",
"Ford Escort Cosworth",
"+16m50.1s"
]
] |
[
"Giandomenico Basso"
] |
who finished first in the race? ||
|
nt-11436
|
col : pos. | driver | co-driver | car | time row 1 : 1 | giandomenico basso | lorenzo granai | peugeot 207 s2000 | 2h28m50.8s row 2 : 2 | bruno magalhaes | nuno r. silva | peugeot 207 s2000 | +07.3s row 3 : 3 | miguel nunes | joao paulo | mitsubishi lancer x r4 | + 3m30.8s row 4 : 4 | pedro meireles | mario castro | skoda fabia s2000 | +3m42.5s row 5 : 5 | luca betti | francesco pezzoli | ford fiesta s2000 | +4m04.1s row 6 : 6 | filipe freitas | daniel figueiroa | mitsubishi lancer x r4 | +5m36s row 7 : 7 | filipe pires | vasco rodrigues | mitsubishi lancer x | +9m11.2s row 8 : 8 | luis serrado | joao sousa | peugeot 206 s1600 | +10m53.7s row 9 : 9 | jose camacho | fernando spinola | peugeot 206 s1600 | +13m08.3s row 10 : 10 | rui conceicao | duarte coelho | ford escort cosworth | +16m50.1s
|
table_csv/204_538.csv
| 1 |
{
"column_index": [
1
],
"row_index": [
4
]
}
|
[
"who finished first in the race?",
"who was the 5th place finisher?"
] | 0 |
luca betti
|
[
"Pos.",
"Driver",
"Co-Driver",
"Car",
"Time"
] |
who was the 5th place finisher?
|
[
[
"1",
"Giandomenico Basso",
"Lorenzo Granai",
"Peugeot 207 S2000",
"2h28m50.8s"
],
[
"2",
"Bruno Magalhaes",
"Nuno R. Silva",
"Peugeot 207 S2000",
"+07.3s"
],
[
"3",
"Miguel Nunes",
"Joao Paulo",
"Mitsubishi Lancer X R4",
"+ 3m30.8s"
],
[
"4",
"Pedro Meireles",
"Mario Castro",
"Skoda Fabia S2000",
"+3m42.5s"
],
[
"5",
"Luca Betti",
"Francesco Pezzoli",
"Ford Fiesta S2000",
"+4m04.1s"
],
[
"6",
"Filipe Freitas",
"Daniel Figueiroa",
"Mitsubishi Lancer X R4",
"+5m36s"
],
[
"7",
"Filipe Pires",
"Vasco Rodrigues",
"Mitsubishi Lancer X",
"+9m11.2s"
],
[
"8",
"Luis Serrado",
"Joao Sousa",
"Peugeot 206 S1600",
"+10m53.7s"
],
[
"9",
"Jose Camacho",
"Fernando Spinola",
"Peugeot 206 S1600",
"+13m08.3s"
],
[
"10",
"Rui Conceicao",
"Duarte Coelho",
"Ford Escort Cosworth",
"+16m50.1s"
]
] |
[
"Luca Betti"
] |
who was the 5th place finisher? || who finished first in the race?
|
nt-11436
|
col : pos. | driver | co-driver | car | time row 1 : 1 | giandomenico basso | lorenzo granai | peugeot 207 s2000 | 2h28m50.8s row 2 : 2 | bruno magalhaes | nuno r. silva | peugeot 207 s2000 | +07.3s row 3 : 3 | miguel nunes | joao paulo | mitsubishi lancer x r4 | + 3m30.8s row 4 : 4 | pedro meireles | mario castro | skoda fabia s2000 | +3m42.5s row 5 : 5 | luca betti | francesco pezzoli | ford fiesta s2000 | +4m04.1s row 6 : 6 | filipe freitas | daniel figueiroa | mitsubishi lancer x r4 | +5m36s row 7 : 7 | filipe pires | vasco rodrigues | mitsubishi lancer x | +9m11.2s row 8 : 8 | luis serrado | joao sousa | peugeot 206 s1600 | +10m53.7s row 9 : 9 | jose camacho | fernando spinola | peugeot 206 s1600 | +13m08.3s row 10 : 10 | rui conceicao | duarte coelho | ford escort cosworth | +16m50.1s
|
table_csv/204_538.csv
| 2 |
{
"column_index": [
4
],
"row_index": [
4
]
}
|
[
"who finished first in the race?",
"who was the 5th place finisher?",
"how far behind basso was betti?"
] | 0 |
+4m04.1s
|
[
"Pos.",
"Driver",
"Co-Driver",
"Car",
"Time"
] |
how far behind basso was betti?
|
[
[
"1",
"Giandomenico Basso",
"Lorenzo Granai",
"Peugeot 207 S2000",
"2h28m50.8s"
],
[
"2",
"Bruno Magalhaes",
"Nuno R. Silva",
"Peugeot 207 S2000",
"+07.3s"
],
[
"3",
"Miguel Nunes",
"Joao Paulo",
"Mitsubishi Lancer X R4",
"+ 3m30.8s"
],
[
"4",
"Pedro Meireles",
"Mario Castro",
"Skoda Fabia S2000",
"+3m42.5s"
],
[
"5",
"Luca Betti",
"Francesco Pezzoli",
"Ford Fiesta S2000",
"+4m04.1s"
],
[
"6",
"Filipe Freitas",
"Daniel Figueiroa",
"Mitsubishi Lancer X R4",
"+5m36s"
],
[
"7",
"Filipe Pires",
"Vasco Rodrigues",
"Mitsubishi Lancer X",
"+9m11.2s"
],
[
"8",
"Luis Serrado",
"Joao Sousa",
"Peugeot 206 S1600",
"+10m53.7s"
],
[
"9",
"Jose Camacho",
"Fernando Spinola",
"Peugeot 206 S1600",
"+13m08.3s"
],
[
"10",
"Rui Conceicao",
"Duarte Coelho",
"Ford Escort Cosworth",
"+16m50.1s"
]
] |
[
"+4m04.1s"
] |
how far behind basso was betti? || who was the 5th place finisher? | who finished first in the race?
|
nt-11436
|
col : pos. | driver | co-driver | car | time row 1 : 1 | giandomenico basso | lorenzo granai | peugeot 207 s2000 | 2h28m50.8s row 2 : 2 | bruno magalhaes | nuno r. silva | peugeot 207 s2000 | +07.3s row 3 : 3 | miguel nunes | joao paulo | mitsubishi lancer x r4 | + 3m30.8s row 4 : 4 | pedro meireles | mario castro | skoda fabia s2000 | +3m42.5s row 5 : 5 | luca betti | francesco pezzoli | ford fiesta s2000 | +4m04.1s row 6 : 6 | filipe freitas | daniel figueiroa | mitsubishi lancer x r4 | +5m36s row 7 : 7 | filipe pires | vasco rodrigues | mitsubishi lancer x | +9m11.2s row 8 : 8 | luis serrado | joao sousa | peugeot 206 s1600 | +10m53.7s row 9 : 9 | jose camacho | fernando spinola | peugeot 206 s1600 | +13m08.3s row 10 : 10 | rui conceicao | duarte coelho | ford escort cosworth | +16m50.1s
|
table_csv/204_538.csv
| 0 |
{
"column_index": [
1,
1,
1,
1
],
"row_index": [
1,
2,
3,
4
]
}
|
[
"what drivers come in under 5 minutes after the winner?"
] | 1 |
bruno magalhaes, miguel nunes, pedro meireles, luca betti
|
[
"Pos.",
"Driver",
"Co-Driver",
"Car",
"Time"
] |
what drivers come in under 5 minutes after the winner?
|
[
[
"1",
"Giandomenico Basso",
"Lorenzo Granai",
"Peugeot 207 S2000",
"2h28m50.8s"
],
[
"2",
"Bruno Magalhaes",
"Nuno R. Silva",
"Peugeot 207 S2000",
"+07.3s"
],
[
"3",
"Miguel Nunes",
"Joao Paulo",
"Mitsubishi Lancer X R4",
"+ 3m30.8s"
],
[
"4",
"Pedro Meireles",
"Mario Castro",
"Skoda Fabia S2000",
"+3m42.5s"
],
[
"5",
"Luca Betti",
"Francesco Pezzoli",
"Ford Fiesta S2000",
"+4m04.1s"
],
[
"6",
"Filipe Freitas",
"Daniel Figueiroa",
"Mitsubishi Lancer X R4",
"+5m36s"
],
[
"7",
"Filipe Pires",
"Vasco Rodrigues",
"Mitsubishi Lancer X",
"+9m11.2s"
],
[
"8",
"Luis Serrado",
"Joao Sousa",
"Peugeot 206 S1600",
"+10m53.7s"
],
[
"9",
"Jose Camacho",
"Fernando Spinola",
"Peugeot 206 S1600",
"+13m08.3s"
],
[
"10",
"Rui Conceicao",
"Duarte Coelho",
"Ford Escort Cosworth",
"+16m50.1s"
]
] |
[
"Bruno Magalhaes",
"Miguel Nunes",
"Pedro Meireles",
"Luca Betti"
] |
what drivers come in under 5 minutes after the winner? ||
|
nt-11436
|
col : pos. | driver | co-driver | car | time row 1 : 1 | giandomenico basso | lorenzo granai | peugeot 207 s2000 | 2h28m50.8s row 2 : 2 | bruno magalhaes | nuno r. silva | peugeot 207 s2000 | +07.3s row 3 : 3 | miguel nunes | joao paulo | mitsubishi lancer x r4 | + 3m30.8s row 4 : 4 | pedro meireles | mario castro | skoda fabia s2000 | +3m42.5s row 5 : 5 | luca betti | francesco pezzoli | ford fiesta s2000 | +4m04.1s row 6 : 6 | filipe freitas | daniel figueiroa | mitsubishi lancer x r4 | +5m36s row 7 : 7 | filipe pires | vasco rodrigues | mitsubishi lancer x | +9m11.2s row 8 : 8 | luis serrado | joao sousa | peugeot 206 s1600 | +10m53.7s row 9 : 9 | jose camacho | fernando spinola | peugeot 206 s1600 | +13m08.3s row 10 : 10 | rui conceicao | duarte coelho | ford escort cosworth | +16m50.1s
|
table_csv/204_538.csv
| 1 |
{
"column_index": [
1,
1,
1
],
"row_index": [
2,
3,
4
]
}
|
[
"what drivers come in under 5 minutes after the winner?",
"which of those were over 3 minuets?"
] | 1 |
miguel nunes, pedro meireles, luca betti
|
[
"Pos.",
"Driver",
"Co-Driver",
"Car",
"Time"
] |
which of those were over 3 minuets?
|
[
[
"1",
"Giandomenico Basso",
"Lorenzo Granai",
"Peugeot 207 S2000",
"2h28m50.8s"
],
[
"2",
"Bruno Magalhaes",
"Nuno R. Silva",
"Peugeot 207 S2000",
"+07.3s"
],
[
"3",
"Miguel Nunes",
"Joao Paulo",
"Mitsubishi Lancer X R4",
"+ 3m30.8s"
],
[
"4",
"Pedro Meireles",
"Mario Castro",
"Skoda Fabia S2000",
"+3m42.5s"
],
[
"5",
"Luca Betti",
"Francesco Pezzoli",
"Ford Fiesta S2000",
"+4m04.1s"
],
[
"6",
"Filipe Freitas",
"Daniel Figueiroa",
"Mitsubishi Lancer X R4",
"+5m36s"
],
[
"7",
"Filipe Pires",
"Vasco Rodrigues",
"Mitsubishi Lancer X",
"+9m11.2s"
],
[
"8",
"Luis Serrado",
"Joao Sousa",
"Peugeot 206 S1600",
"+10m53.7s"
],
[
"9",
"Jose Camacho",
"Fernando Spinola",
"Peugeot 206 S1600",
"+13m08.3s"
],
[
"10",
"Rui Conceicao",
"Duarte Coelho",
"Ford Escort Cosworth",
"+16m50.1s"
]
] |
[
"Miguel Nunes",
"Pedro Meireles",
"Luca Betti"
] |
which of those were over 3 minuets? || what drivers come in under 5 minutes after the winner?
|
nt-11436
|
col : pos. | driver | co-driver | car | time row 1 : 1 | giandomenico basso | lorenzo granai | peugeot 207 s2000 | 2h28m50.8s row 2 : 2 | bruno magalhaes | nuno r. silva | peugeot 207 s2000 | +07.3s row 3 : 3 | miguel nunes | joao paulo | mitsubishi lancer x r4 | + 3m30.8s row 4 : 4 | pedro meireles | mario castro | skoda fabia s2000 | +3m42.5s row 5 : 5 | luca betti | francesco pezzoli | ford fiesta s2000 | +4m04.1s row 6 : 6 | filipe freitas | daniel figueiroa | mitsubishi lancer x r4 | +5m36s row 7 : 7 | filipe pires | vasco rodrigues | mitsubishi lancer x | +9m11.2s row 8 : 8 | luis serrado | joao sousa | peugeot 206 s1600 | +10m53.7s row 9 : 9 | jose camacho | fernando spinola | peugeot 206 s1600 | +13m08.3s row 10 : 10 | rui conceicao | duarte coelho | ford escort cosworth | +16m50.1s
|
table_csv/204_538.csv
| 2 |
{
"column_index": [
4
],
"row_index": [
4
]
}
|
[
"what drivers come in under 5 minutes after the winner?",
"which of those were over 3 minuets?",
"how far behind the leader was the only ford of this group?"
] | 1 |
+4m04.1s
|
[
"Pos.",
"Driver",
"Co-Driver",
"Car",
"Time"
] |
how far behind the leader was the only ford of this group?
|
[
[
"1",
"Giandomenico Basso",
"Lorenzo Granai",
"Peugeot 207 S2000",
"2h28m50.8s"
],
[
"2",
"Bruno Magalhaes",
"Nuno R. Silva",
"Peugeot 207 S2000",
"+07.3s"
],
[
"3",
"Miguel Nunes",
"Joao Paulo",
"Mitsubishi Lancer X R4",
"+ 3m30.8s"
],
[
"4",
"Pedro Meireles",
"Mario Castro",
"Skoda Fabia S2000",
"+3m42.5s"
],
[
"5",
"Luca Betti",
"Francesco Pezzoli",
"Ford Fiesta S2000",
"+4m04.1s"
],
[
"6",
"Filipe Freitas",
"Daniel Figueiroa",
"Mitsubishi Lancer X R4",
"+5m36s"
],
[
"7",
"Filipe Pires",
"Vasco Rodrigues",
"Mitsubishi Lancer X",
"+9m11.2s"
],
[
"8",
"Luis Serrado",
"Joao Sousa",
"Peugeot 206 S1600",
"+10m53.7s"
],
[
"9",
"Jose Camacho",
"Fernando Spinola",
"Peugeot 206 S1600",
"+13m08.3s"
],
[
"10",
"Rui Conceicao",
"Duarte Coelho",
"Ford Escort Cosworth",
"+16m50.1s"
]
] |
[
"+4m04.1s"
] |
how far behind the leader was the only ford of this group? || which of those were over 3 minuets? | what drivers come in under 5 minutes after the winner?
|
nt-11436
|
col : pos. | driver | co-driver | car | time row 1 : 1 | giandomenico basso | lorenzo granai | peugeot 207 s2000 | 2h28m50.8s row 2 : 2 | bruno magalhaes | nuno r. silva | peugeot 207 s2000 | +07.3s row 3 : 3 | miguel nunes | joao paulo | mitsubishi lancer x r4 | + 3m30.8s row 4 : 4 | pedro meireles | mario castro | skoda fabia s2000 | +3m42.5s row 5 : 5 | luca betti | francesco pezzoli | ford fiesta s2000 | +4m04.1s row 6 : 6 | filipe freitas | daniel figueiroa | mitsubishi lancer x r4 | +5m36s row 7 : 7 | filipe pires | vasco rodrigues | mitsubishi lancer x | +9m11.2s row 8 : 8 | luis serrado | joao sousa | peugeot 206 s1600 | +10m53.7s row 9 : 9 | jose camacho | fernando spinola | peugeot 206 s1600 | +13m08.3s row 10 : 10 | rui conceicao | duarte coelho | ford escort cosworth | +16m50.1s
|
table_csv/204_538.csv
| 0 |
{
"column_index": [
0,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
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4,
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9
]
}
|
[
"who are the drivers of the 2013 rali vinho de madeira?"
] | 2 |
1, giandomenico basso, bruno magalhaes, miguel nunes, pedro meireles, luca betti, filipe freitas, filipe pires, luis serrado, jose camacho, rui conceicao
|
[
"Pos.",
"Driver",
"Co-Driver",
"Car",
"Time"
] |
who are the drivers of the 2013 rali vinho de madeira?
|
[
[
"1",
"Giandomenico Basso",
"Lorenzo Granai",
"Peugeot 207 S2000",
"2h28m50.8s"
],
[
"2",
"Bruno Magalhaes",
"Nuno R. Silva",
"Peugeot 207 S2000",
"+07.3s"
],
[
"3",
"Miguel Nunes",
"Joao Paulo",
"Mitsubishi Lancer X R4",
"+ 3m30.8s"
],
[
"4",
"Pedro Meireles",
"Mario Castro",
"Skoda Fabia S2000",
"+3m42.5s"
],
[
"5",
"Luca Betti",
"Francesco Pezzoli",
"Ford Fiesta S2000",
"+4m04.1s"
],
[
"6",
"Filipe Freitas",
"Daniel Figueiroa",
"Mitsubishi Lancer X R4",
"+5m36s"
],
[
"7",
"Filipe Pires",
"Vasco Rodrigues",
"Mitsubishi Lancer X",
"+9m11.2s"
],
[
"8",
"Luis Serrado",
"Joao Sousa",
"Peugeot 206 S1600",
"+10m53.7s"
],
[
"9",
"Jose Camacho",
"Fernando Spinola",
"Peugeot 206 S1600",
"+13m08.3s"
],
[
"10",
"Rui Conceicao",
"Duarte Coelho",
"Ford Escort Cosworth",
"+16m50.1s"
]
] |
[
"1",
"Giandomenico Basso",
"Bruno Magalhaes",
"Miguel Nunes",
"Pedro Meireles",
"Luca Betti",
"Filipe Freitas",
"Filipe Pires",
"Luis Serrado",
"Jose Camacho",
"Rui Conceicao"
] |
who are the drivers of the 2013 rali vinho de madeira? ||
|
nt-11436
|
col : pos. | driver | co-driver | car | time row 1 : 1 | giandomenico basso | lorenzo granai | peugeot 207 s2000 | 2h28m50.8s row 2 : 2 | bruno magalhaes | nuno r. silva | peugeot 207 s2000 | +07.3s row 3 : 3 | miguel nunes | joao paulo | mitsubishi lancer x r4 | + 3m30.8s row 4 : 4 | pedro meireles | mario castro | skoda fabia s2000 | +3m42.5s row 5 : 5 | luca betti | francesco pezzoli | ford fiesta s2000 | +4m04.1s row 6 : 6 | filipe freitas | daniel figueiroa | mitsubishi lancer x r4 | +5m36s row 7 : 7 | filipe pires | vasco rodrigues | mitsubishi lancer x | +9m11.2s row 8 : 8 | luis serrado | joao sousa | peugeot 206 s1600 | +10m53.7s row 9 : 9 | jose camacho | fernando spinola | peugeot 206 s1600 | +13m08.3s row 10 : 10 | rui conceicao | duarte coelho | ford escort cosworth | +16m50.1s
|
table_csv/204_538.csv
| 1 |
{
"column_index": [
4
],
"row_index": [
4
]
}
|
[
"who are the drivers of the 2013 rali vinho de madeira?",
"what is the time of luca betti?"
] | 2 |
+4m04.1s
|
[
"Pos.",
"Driver",
"Co-Driver",
"Car",
"Time"
] |
what is the time of luca betti?
|
[
[
"1",
"Giandomenico Basso",
"Lorenzo Granai",
"Peugeot 207 S2000",
"2h28m50.8s"
],
[
"2",
"Bruno Magalhaes",
"Nuno R. Silva",
"Peugeot 207 S2000",
"+07.3s"
],
[
"3",
"Miguel Nunes",
"Joao Paulo",
"Mitsubishi Lancer X R4",
"+ 3m30.8s"
],
[
"4",
"Pedro Meireles",
"Mario Castro",
"Skoda Fabia S2000",
"+3m42.5s"
],
[
"5",
"Luca Betti",
"Francesco Pezzoli",
"Ford Fiesta S2000",
"+4m04.1s"
],
[
"6",
"Filipe Freitas",
"Daniel Figueiroa",
"Mitsubishi Lancer X R4",
"+5m36s"
],
[
"7",
"Filipe Pires",
"Vasco Rodrigues",
"Mitsubishi Lancer X",
"+9m11.2s"
],
[
"8",
"Luis Serrado",
"Joao Sousa",
"Peugeot 206 S1600",
"+10m53.7s"
],
[
"9",
"Jose Camacho",
"Fernando Spinola",
"Peugeot 206 S1600",
"+13m08.3s"
],
[
"10",
"Rui Conceicao",
"Duarte Coelho",
"Ford Escort Cosworth",
"+16m50.1s"
]
] |
[
"+4m04.1s"
] |
what is the time of luca betti? || who are the drivers of the 2013 rali vinho de madeira?
|
nt-13638
|
col : pos | no | driver | constructor | laps | time/retired | grid | points row 1 : 1 | 3 | michael schumacher | ferrari | 71 | 1:34:45.026 | 2 | 10.0 row 2 : 2 | 4 | eddie irvine | ferrari | 71 | +19.575 | 4 | 6.0 row 3 : 3 | 8 | mika hakkinen | mclaren-mercedes | 71 | +19.747 | 1 | 4.0 row 4 : 4 | 1 | jacques villeneuve | williams-mecachrome | 71 | +1:06.965 | 5 | 3.0 row 5 : 5 | 6 | alexander wurz | benetton-playlife | 70 | +1 lap | 10 | 2.0 row 6 : 6 | 7 | david coulthard | mclaren-mercedes | 70 | +1 lap | 3 | 1.0 row 7 : 7 | 14 | jean alesi | sauber-petronas | 70 | +1 lap | 11 | nan row 8 : 8 | 15 | johnny herbert | sauber-petronas | 70 | +1 lap | 13 | nan row 9 : 9 | 5 | giancarlo fisichella | benetton-playlife | 70 | +1 lap | 9 | nan row 10 : 10 | 18 | rubens barrichello | stewart-ford | 69 | +2 laps | 14 | nan row 11 : 11 | 11 | olivier panis | prost-peugeot | 69 | +2 laps | 16 | nan row 12 : 12 | 19 | jos verstappen | stewart-ford | 69 | +2 laps | 15 | nan row 13 : 13 | 17 | mika salo | arrows | 69 | +2 laps | 19 | nan row 14 : 14 | 16 | pedro diniz | arrows | 69 | +2 laps | 17 | nan row 15 : 15 | 2 | heinz-harald frentzen | williams-mecachrome | 68 | suspension | 8 | nan row 16 : 16 | 10 | ralf schumacher | jordan-mugen-honda | 68 | +3 laps | 6 | nan row 17 : 17 | 22 | shinji nakano | minardi-ford | 65 | engine | 21 | nan row 18 : ret | 21 | toranosuke takagi | tyrrell-ford | 60 | engine | 20 | nan row 19 : ret | 12 | jarno trulli | prost-peugeot | 55 | spun off | 12 | nan row 20 : ret | 23 | esteban tuero | minardi-ford | 41 | gearbox | 22 | nan row 21 : ret | 9 | damon hill | jordan-mugen-honda | 19 | hydraulics | 7 | nan row 22 : ret | 20 | ricardo rosset | tyrrell-ford | 16 | hydraulics | 18 | nan
|
table_csv/202_143.csv
| 0 |
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17,
18,
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20,
21
]
}
|
[
"which drivers took part in the 1998 french grand prix?"
] | 0 |
michael schumacher, eddie irvine, mika hakkinen, jacques villeneuve, alexander wurz, david coulthard, jean alesi, johnny herbert, giancarlo fisichella, rubens barrichello, olivier panis, jos verstappen, mika salo, pedro diniz, heinz-harald frentzen, ralf schumacher, shinji nakano, toranosuke takagi, jarno trulli, esteban tuero, damon hill, ricardo rosset
|
[
"Pos",
"No",
"Driver",
"Constructor",
"Laps",
"Time/Retired",
"Grid",
"Points"
] |
which drivers took part in the 1998 french grand prix?
|
[
[
"1",
"3",
"Michael Schumacher",
"Ferrari",
"71",
"1:34:45.026",
"2",
"10.0"
],
[
"2",
"4",
"Eddie Irvine",
"Ferrari",
"71",
"+19.575",
"4",
"6.0"
],
[
"3",
"8",
"Mika Hakkinen",
"McLaren-Mercedes",
"71",
"+19.747",
"1",
"4.0"
],
[
"4",
"1",
"Jacques Villeneuve",
"Williams-Mecachrome",
"71",
"+1:06.965",
"5",
"3.0"
],
[
"5",
"6",
"Alexander Wurz",
"Benetton-Playlife",
"70",
"+1 Lap",
"10",
"2.0"
],
[
"6",
"7",
"David Coulthard",
"McLaren-Mercedes",
"70",
"+1 Lap",
"3",
"1.0"
],
[
"7",
"14",
"Jean Alesi",
"Sauber-Petronas",
"70",
"+1 Lap",
"11",
"nan"
],
[
"8",
"15",
"Johnny Herbert",
"Sauber-Petronas",
"70",
"+1 Lap",
"13",
"nan"
],
[
"9",
"5",
"Giancarlo Fisichella",
"Benetton-Playlife",
"70",
"+1 Lap",
"9",
"nan"
],
[
"10",
"18",
"Rubens Barrichello",
"Stewart-Ford",
"69",
"+2 Laps",
"14",
"nan"
],
[
"11",
"11",
"Olivier Panis",
"Prost-Peugeot",
"69",
"+2 Laps",
"16",
"nan"
],
[
"12",
"19",
"Jos Verstappen",
"Stewart-Ford",
"69",
"+2 Laps",
"15",
"nan"
],
[
"13",
"17",
"Mika Salo",
"Arrows",
"69",
"+2 Laps",
"19",
"nan"
],
[
"14",
"16",
"Pedro Diniz",
"Arrows",
"69",
"+2 Laps",
"17",
"nan"
],
[
"15",
"2",
"Heinz-Harald Frentzen",
"Williams-Mecachrome",
"68",
"Suspension",
"8",
"nan"
],
[
"16",
"10",
"Ralf Schumacher",
"Jordan-Mugen-Honda",
"68",
"+3 Laps",
"6",
"nan"
],
[
"17",
"22",
"Shinji Nakano",
"Minardi-Ford",
"65",
"Engine",
"21",
"nan"
],
[
"Ret",
"21",
"Toranosuke Takagi",
"Tyrrell-Ford",
"60",
"Engine",
"20",
"nan"
],
[
"Ret",
"12",
"Jarno Trulli",
"Prost-Peugeot",
"55",
"Spun off",
"12",
"nan"
],
[
"Ret",
"23",
"Esteban Tuero",
"Minardi-Ford",
"41",
"Gearbox",
"22",
"nan"
],
[
"Ret",
"9",
"Damon Hill",
"Jordan-Mugen-Honda",
"19",
"Hydraulics",
"7",
"nan"
],
[
"Ret",
"20",
"Ricardo Rosset",
"Tyrrell-Ford",
"16",
"Hydraulics",
"18",
"nan"
]
] |
[
"Michael Schumacher",
"Eddie Irvine",
"Mika Hakkinen",
"Jacques Villeneuve",
"Alexander Wurz",
"David Coulthard",
"Jean Alesi",
"Johnny Herbert",
"Giancarlo Fisichella",
"Rubens Barrichello",
"Olivier Panis",
"Jos Verstappen",
"Mika Salo",
"Pedro Diniz",
"Heinz-Harald Frentzen",
"Ralf Schumacher",
"Shinji Nakano",
"Toranosuke Takagi",
"Jarno Trulli",
"Esteban Tuero",
"Damon Hill",
"Ricardo Rosset"
] |
which drivers took part in the 1998 french grand prix? ||
|
nt-13638
|
col : pos | no | driver | constructor | laps | time/retired | grid | points row 1 : 1 | 3 | michael schumacher | ferrari | 71 | 1:34:45.026 | 2 | 10.0 row 2 : 2 | 4 | eddie irvine | ferrari | 71 | +19.575 | 4 | 6.0 row 3 : 3 | 8 | mika hakkinen | mclaren-mercedes | 71 | +19.747 | 1 | 4.0 row 4 : 4 | 1 | jacques villeneuve | williams-mecachrome | 71 | +1:06.965 | 5 | 3.0 row 5 : 5 | 6 | alexander wurz | benetton-playlife | 70 | +1 lap | 10 | 2.0 row 6 : 6 | 7 | david coulthard | mclaren-mercedes | 70 | +1 lap | 3 | 1.0 row 7 : 7 | 14 | jean alesi | sauber-petronas | 70 | +1 lap | 11 | nan row 8 : 8 | 15 | johnny herbert | sauber-petronas | 70 | +1 lap | 13 | nan row 9 : 9 | 5 | giancarlo fisichella | benetton-playlife | 70 | +1 lap | 9 | nan row 10 : 10 | 18 | rubens barrichello | stewart-ford | 69 | +2 laps | 14 | nan row 11 : 11 | 11 | olivier panis | prost-peugeot | 69 | +2 laps | 16 | nan row 12 : 12 | 19 | jos verstappen | stewart-ford | 69 | +2 laps | 15 | nan row 13 : 13 | 17 | mika salo | arrows | 69 | +2 laps | 19 | nan row 14 : 14 | 16 | pedro diniz | arrows | 69 | +2 laps | 17 | nan row 15 : 15 | 2 | heinz-harald frentzen | williams-mecachrome | 68 | suspension | 8 | nan row 16 : 16 | 10 | ralf schumacher | jordan-mugen-honda | 68 | +3 laps | 6 | nan row 17 : 17 | 22 | shinji nakano | minardi-ford | 65 | engine | 21 | nan row 18 : ret | 21 | toranosuke takagi | tyrrell-ford | 60 | engine | 20 | nan row 19 : ret | 12 | jarno trulli | prost-peugeot | 55 | spun off | 12 | nan row 20 : ret | 23 | esteban tuero | minardi-ford | 41 | gearbox | 22 | nan row 21 : ret | 9 | damon hill | jordan-mugen-honda | 19 | hydraulics | 7 | nan row 22 : ret | 20 | ricardo rosset | tyrrell-ford | 16 | hydraulics | 18 | nan
|
table_csv/202_143.csv
| 1 |
{
"column_index": [
2,
2,
2,
2
],
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0,
1,
2,
3
]
}
|
[
"which drivers took part in the 1998 french grand prix?",
"of these, which completed 71 laps?"
] | 0 |
michael schumacher, eddie irvine, mika hakkinen, jacques villeneuve
|
[
"Pos",
"No",
"Driver",
"Constructor",
"Laps",
"Time/Retired",
"Grid",
"Points"
] |
of these, which completed 71 laps?
|
[
[
"1",
"3",
"Michael Schumacher",
"Ferrari",
"71",
"1:34:45.026",
"2",
"10.0"
],
[
"2",
"4",
"Eddie Irvine",
"Ferrari",
"71",
"+19.575",
"4",
"6.0"
],
[
"3",
"8",
"Mika Hakkinen",
"McLaren-Mercedes",
"71",
"+19.747",
"1",
"4.0"
],
[
"4",
"1",
"Jacques Villeneuve",
"Williams-Mecachrome",
"71",
"+1:06.965",
"5",
"3.0"
],
[
"5",
"6",
"Alexander Wurz",
"Benetton-Playlife",
"70",
"+1 Lap",
"10",
"2.0"
],
[
"6",
"7",
"David Coulthard",
"McLaren-Mercedes",
"70",
"+1 Lap",
"3",
"1.0"
],
[
"7",
"14",
"Jean Alesi",
"Sauber-Petronas",
"70",
"+1 Lap",
"11",
"nan"
],
[
"8",
"15",
"Johnny Herbert",
"Sauber-Petronas",
"70",
"+1 Lap",
"13",
"nan"
],
[
"9",
"5",
"Giancarlo Fisichella",
"Benetton-Playlife",
"70",
"+1 Lap",
"9",
"nan"
],
[
"10",
"18",
"Rubens Barrichello",
"Stewart-Ford",
"69",
"+2 Laps",
"14",
"nan"
],
[
"11",
"11",
"Olivier Panis",
"Prost-Peugeot",
"69",
"+2 Laps",
"16",
"nan"
],
[
"12",
"19",
"Jos Verstappen",
"Stewart-Ford",
"69",
"+2 Laps",
"15",
"nan"
],
[
"13",
"17",
"Mika Salo",
"Arrows",
"69",
"+2 Laps",
"19",
"nan"
],
[
"14",
"16",
"Pedro Diniz",
"Arrows",
"69",
"+2 Laps",
"17",
"nan"
],
[
"15",
"2",
"Heinz-Harald Frentzen",
"Williams-Mecachrome",
"68",
"Suspension",
"8",
"nan"
],
[
"16",
"10",
"Ralf Schumacher",
"Jordan-Mugen-Honda",
"68",
"+3 Laps",
"6",
"nan"
],
[
"17",
"22",
"Shinji Nakano",
"Minardi-Ford",
"65",
"Engine",
"21",
"nan"
],
[
"Ret",
"21",
"Toranosuke Takagi",
"Tyrrell-Ford",
"60",
"Engine",
"20",
"nan"
],
[
"Ret",
"12",
"Jarno Trulli",
"Prost-Peugeot",
"55",
"Spun off",
"12",
"nan"
],
[
"Ret",
"23",
"Esteban Tuero",
"Minardi-Ford",
"41",
"Gearbox",
"22",
"nan"
],
[
"Ret",
"9",
"Damon Hill",
"Jordan-Mugen-Honda",
"19",
"Hydraulics",
"7",
"nan"
],
[
"Ret",
"20",
"Ricardo Rosset",
"Tyrrell-Ford",
"16",
"Hydraulics",
"18",
"nan"
]
] |
[
"Michael Schumacher",
"Eddie Irvine",
"Mika Hakkinen",
"Jacques Villeneuve"
] |
of these, which completed 71 laps? || which drivers took part in the 1998 french grand prix?
|
nt-13638
|
col : pos | no | driver | constructor | laps | time/retired | grid | points row 1 : 1 | 3 | michael schumacher | ferrari | 71 | 1:34:45.026 | 2 | 10.0 row 2 : 2 | 4 | eddie irvine | ferrari | 71 | +19.575 | 4 | 6.0 row 3 : 3 | 8 | mika hakkinen | mclaren-mercedes | 71 | +19.747 | 1 | 4.0 row 4 : 4 | 1 | jacques villeneuve | williams-mecachrome | 71 | +1:06.965 | 5 | 3.0 row 5 : 5 | 6 | alexander wurz | benetton-playlife | 70 | +1 lap | 10 | 2.0 row 6 : 6 | 7 | david coulthard | mclaren-mercedes | 70 | +1 lap | 3 | 1.0 row 7 : 7 | 14 | jean alesi | sauber-petronas | 70 | +1 lap | 11 | nan row 8 : 8 | 15 | johnny herbert | sauber-petronas | 70 | +1 lap | 13 | nan row 9 : 9 | 5 | giancarlo fisichella | benetton-playlife | 70 | +1 lap | 9 | nan row 10 : 10 | 18 | rubens barrichello | stewart-ford | 69 | +2 laps | 14 | nan row 11 : 11 | 11 | olivier panis | prost-peugeot | 69 | +2 laps | 16 | nan row 12 : 12 | 19 | jos verstappen | stewart-ford | 69 | +2 laps | 15 | nan row 13 : 13 | 17 | mika salo | arrows | 69 | +2 laps | 19 | nan row 14 : 14 | 16 | pedro diniz | arrows | 69 | +2 laps | 17 | nan row 15 : 15 | 2 | heinz-harald frentzen | williams-mecachrome | 68 | suspension | 8 | nan row 16 : 16 | 10 | ralf schumacher | jordan-mugen-honda | 68 | +3 laps | 6 | nan row 17 : 17 | 22 | shinji nakano | minardi-ford | 65 | engine | 21 | nan row 18 : ret | 21 | toranosuke takagi | tyrrell-ford | 60 | engine | 20 | nan row 19 : ret | 12 | jarno trulli | prost-peugeot | 55 | spun off | 12 | nan row 20 : ret | 23 | esteban tuero | minardi-ford | 41 | gearbox | 22 | nan row 21 : ret | 9 | damon hill | jordan-mugen-honda | 19 | hydraulics | 7 | nan row 22 : ret | 20 | ricardo rosset | tyrrell-ford | 16 | hydraulics | 18 | nan
|
table_csv/202_143.csv
| 2 |
{
"column_index": [
2
],
"row_index": [
0
]
}
|
[
"which drivers took part in the 1998 french grand prix?",
"of these, which completed 71 laps?",
"of these, who had the highest position?"
] | 0 |
michael schumacher
|
[
"Pos",
"No",
"Driver",
"Constructor",
"Laps",
"Time/Retired",
"Grid",
"Points"
] |
of these, who had the highest position?
|
[
[
"1",
"3",
"Michael Schumacher",
"Ferrari",
"71",
"1:34:45.026",
"2",
"10.0"
],
[
"2",
"4",
"Eddie Irvine",
"Ferrari",
"71",
"+19.575",
"4",
"6.0"
],
[
"3",
"8",
"Mika Hakkinen",
"McLaren-Mercedes",
"71",
"+19.747",
"1",
"4.0"
],
[
"4",
"1",
"Jacques Villeneuve",
"Williams-Mecachrome",
"71",
"+1:06.965",
"5",
"3.0"
],
[
"5",
"6",
"Alexander Wurz",
"Benetton-Playlife",
"70",
"+1 Lap",
"10",
"2.0"
],
[
"6",
"7",
"David Coulthard",
"McLaren-Mercedes",
"70",
"+1 Lap",
"3",
"1.0"
],
[
"7",
"14",
"Jean Alesi",
"Sauber-Petronas",
"70",
"+1 Lap",
"11",
"nan"
],
[
"8",
"15",
"Johnny Herbert",
"Sauber-Petronas",
"70",
"+1 Lap",
"13",
"nan"
],
[
"9",
"5",
"Giancarlo Fisichella",
"Benetton-Playlife",
"70",
"+1 Lap",
"9",
"nan"
],
[
"10",
"18",
"Rubens Barrichello",
"Stewart-Ford",
"69",
"+2 Laps",
"14",
"nan"
],
[
"11",
"11",
"Olivier Panis",
"Prost-Peugeot",
"69",
"+2 Laps",
"16",
"nan"
],
[
"12",
"19",
"Jos Verstappen",
"Stewart-Ford",
"69",
"+2 Laps",
"15",
"nan"
],
[
"13",
"17",
"Mika Salo",
"Arrows",
"69",
"+2 Laps",
"19",
"nan"
],
[
"14",
"16",
"Pedro Diniz",
"Arrows",
"69",
"+2 Laps",
"17",
"nan"
],
[
"15",
"2",
"Heinz-Harald Frentzen",
"Williams-Mecachrome",
"68",
"Suspension",
"8",
"nan"
],
[
"16",
"10",
"Ralf Schumacher",
"Jordan-Mugen-Honda",
"68",
"+3 Laps",
"6",
"nan"
],
[
"17",
"22",
"Shinji Nakano",
"Minardi-Ford",
"65",
"Engine",
"21",
"nan"
],
[
"Ret",
"21",
"Toranosuke Takagi",
"Tyrrell-Ford",
"60",
"Engine",
"20",
"nan"
],
[
"Ret",
"12",
"Jarno Trulli",
"Prost-Peugeot",
"55",
"Spun off",
"12",
"nan"
],
[
"Ret",
"23",
"Esteban Tuero",
"Minardi-Ford",
"41",
"Gearbox",
"22",
"nan"
],
[
"Ret",
"9",
"Damon Hill",
"Jordan-Mugen-Honda",
"19",
"Hydraulics",
"7",
"nan"
],
[
"Ret",
"20",
"Ricardo Rosset",
"Tyrrell-Ford",
"16",
"Hydraulics",
"18",
"nan"
]
] |
[
"Michael Schumacher"
] |
of these, who had the highest position? || of these, which completed 71 laps? | which drivers took part in the 1998 french grand prix?
|
nt-13638
|
col : pos | no | driver | constructor | laps | time/retired | grid | points row 1 : 1 | 3 | michael schumacher | ferrari | 71 | 1:34:45.026 | 2 | 10.0 row 2 : 2 | 4 | eddie irvine | ferrari | 71 | +19.575 | 4 | 6.0 row 3 : 3 | 8 | mika hakkinen | mclaren-mercedes | 71 | +19.747 | 1 | 4.0 row 4 : 4 | 1 | jacques villeneuve | williams-mecachrome | 71 | +1:06.965 | 5 | 3.0 row 5 : 5 | 6 | alexander wurz | benetton-playlife | 70 | +1 lap | 10 | 2.0 row 6 : 6 | 7 | david coulthard | mclaren-mercedes | 70 | +1 lap | 3 | 1.0 row 7 : 7 | 14 | jean alesi | sauber-petronas | 70 | +1 lap | 11 | nan row 8 : 8 | 15 | johnny herbert | sauber-petronas | 70 | +1 lap | 13 | nan row 9 : 9 | 5 | giancarlo fisichella | benetton-playlife | 70 | +1 lap | 9 | nan row 10 : 10 | 18 | rubens barrichello | stewart-ford | 69 | +2 laps | 14 | nan row 11 : 11 | 11 | olivier panis | prost-peugeot | 69 | +2 laps | 16 | nan row 12 : 12 | 19 | jos verstappen | stewart-ford | 69 | +2 laps | 15 | nan row 13 : 13 | 17 | mika salo | arrows | 69 | +2 laps | 19 | nan row 14 : 14 | 16 | pedro diniz | arrows | 69 | +2 laps | 17 | nan row 15 : 15 | 2 | heinz-harald frentzen | williams-mecachrome | 68 | suspension | 8 | nan row 16 : 16 | 10 | ralf schumacher | jordan-mugen-honda | 68 | +3 laps | 6 | nan row 17 : 17 | 22 | shinji nakano | minardi-ford | 65 | engine | 21 | nan row 18 : ret | 21 | toranosuke takagi | tyrrell-ford | 60 | engine | 20 | nan row 19 : ret | 12 | jarno trulli | prost-peugeot | 55 | spun off | 12 | nan row 20 : ret | 23 | esteban tuero | minardi-ford | 41 | gearbox | 22 | nan row 21 : ret | 9 | damon hill | jordan-mugen-honda | 19 | hydraulics | 7 | nan row 22 : ret | 20 | ricardo rosset | tyrrell-ford | 16 | hydraulics | 18 | nan
|
table_csv/202_143.csv
| 3 |
{
"column_index": [
5
],
"row_index": [
0
]
}
|
[
"which drivers took part in the 1998 french grand prix?",
"of these, which completed 71 laps?",
"of these, who had the highest position?",
"what was his time?"
] | 0 |
1:34:45.026
|
[
"Pos",
"No",
"Driver",
"Constructor",
"Laps",
"Time/Retired",
"Grid",
"Points"
] |
what was his time?
|
[
[
"1",
"3",
"Michael Schumacher",
"Ferrari",
"71",
"1:34:45.026",
"2",
"10.0"
],
[
"2",
"4",
"Eddie Irvine",
"Ferrari",
"71",
"+19.575",
"4",
"6.0"
],
[
"3",
"8",
"Mika Hakkinen",
"McLaren-Mercedes",
"71",
"+19.747",
"1",
"4.0"
],
[
"4",
"1",
"Jacques Villeneuve",
"Williams-Mecachrome",
"71",
"+1:06.965",
"5",
"3.0"
],
[
"5",
"6",
"Alexander Wurz",
"Benetton-Playlife",
"70",
"+1 Lap",
"10",
"2.0"
],
[
"6",
"7",
"David Coulthard",
"McLaren-Mercedes",
"70",
"+1 Lap",
"3",
"1.0"
],
[
"7",
"14",
"Jean Alesi",
"Sauber-Petronas",
"70",
"+1 Lap",
"11",
"nan"
],
[
"8",
"15",
"Johnny Herbert",
"Sauber-Petronas",
"70",
"+1 Lap",
"13",
"nan"
],
[
"9",
"5",
"Giancarlo Fisichella",
"Benetton-Playlife",
"70",
"+1 Lap",
"9",
"nan"
],
[
"10",
"18",
"Rubens Barrichello",
"Stewart-Ford",
"69",
"+2 Laps",
"14",
"nan"
],
[
"11",
"11",
"Olivier Panis",
"Prost-Peugeot",
"69",
"+2 Laps",
"16",
"nan"
],
[
"12",
"19",
"Jos Verstappen",
"Stewart-Ford",
"69",
"+2 Laps",
"15",
"nan"
],
[
"13",
"17",
"Mika Salo",
"Arrows",
"69",
"+2 Laps",
"19",
"nan"
],
[
"14",
"16",
"Pedro Diniz",
"Arrows",
"69",
"+2 Laps",
"17",
"nan"
],
[
"15",
"2",
"Heinz-Harald Frentzen",
"Williams-Mecachrome",
"68",
"Suspension",
"8",
"nan"
],
[
"16",
"10",
"Ralf Schumacher",
"Jordan-Mugen-Honda",
"68",
"+3 Laps",
"6",
"nan"
],
[
"17",
"22",
"Shinji Nakano",
"Minardi-Ford",
"65",
"Engine",
"21",
"nan"
],
[
"Ret",
"21",
"Toranosuke Takagi",
"Tyrrell-Ford",
"60",
"Engine",
"20",
"nan"
],
[
"Ret",
"12",
"Jarno Trulli",
"Prost-Peugeot",
"55",
"Spun off",
"12",
"nan"
],
[
"Ret",
"23",
"Esteban Tuero",
"Minardi-Ford",
"41",
"Gearbox",
"22",
"nan"
],
[
"Ret",
"9",
"Damon Hill",
"Jordan-Mugen-Honda",
"19",
"Hydraulics",
"7",
"nan"
],
[
"Ret",
"20",
"Ricardo Rosset",
"Tyrrell-Ford",
"16",
"Hydraulics",
"18",
"nan"
]
] |
[
"1:34:45.026"
] |
what was his time? || of these, who had the highest position? | of these, which completed 71 laps? | which drivers took part in the 1998 french grand prix?
|
nt-13638
|
col : pos | no | driver | constructor | laps | time/retired | grid | points row 1 : 1 | 3 | michael schumacher | ferrari | 71 | 1:34:45.026 | 2 | 10.0 row 2 : 2 | 4 | eddie irvine | ferrari | 71 | +19.575 | 4 | 6.0 row 3 : 3 | 8 | mika hakkinen | mclaren-mercedes | 71 | +19.747 | 1 | 4.0 row 4 : 4 | 1 | jacques villeneuve | williams-mecachrome | 71 | +1:06.965 | 5 | 3.0 row 5 : 5 | 6 | alexander wurz | benetton-playlife | 70 | +1 lap | 10 | 2.0 row 6 : 6 | 7 | david coulthard | mclaren-mercedes | 70 | +1 lap | 3 | 1.0 row 7 : 7 | 14 | jean alesi | sauber-petronas | 70 | +1 lap | 11 | nan row 8 : 8 | 15 | johnny herbert | sauber-petronas | 70 | +1 lap | 13 | nan row 9 : 9 | 5 | giancarlo fisichella | benetton-playlife | 70 | +1 lap | 9 | nan row 10 : 10 | 18 | rubens barrichello | stewart-ford | 69 | +2 laps | 14 | nan row 11 : 11 | 11 | olivier panis | prost-peugeot | 69 | +2 laps | 16 | nan row 12 : 12 | 19 | jos verstappen | stewart-ford | 69 | +2 laps | 15 | nan row 13 : 13 | 17 | mika salo | arrows | 69 | +2 laps | 19 | nan row 14 : 14 | 16 | pedro diniz | arrows | 69 | +2 laps | 17 | nan row 15 : 15 | 2 | heinz-harald frentzen | williams-mecachrome | 68 | suspension | 8 | nan row 16 : 16 | 10 | ralf schumacher | jordan-mugen-honda | 68 | +3 laps | 6 | nan row 17 : 17 | 22 | shinji nakano | minardi-ford | 65 | engine | 21 | nan row 18 : ret | 21 | toranosuke takagi | tyrrell-ford | 60 | engine | 20 | nan row 19 : ret | 12 | jarno trulli | prost-peugeot | 55 | spun off | 12 | nan row 20 : ret | 23 | esteban tuero | minardi-ford | 41 | gearbox | 22 | nan row 21 : ret | 9 | damon hill | jordan-mugen-honda | 19 | hydraulics | 7 | nan row 22 : ret | 20 | ricardo rosset | tyrrell-ford | 16 | hydraulics | 18 | nan
|
table_csv/202_143.csv
| 0 |
{
"column_index": [
2
],
"row_index": [
0
]
}
|
[
"who was the winner of the race?"
] | 1 |
michael schumacher
|
[
"Pos",
"No",
"Driver",
"Constructor",
"Laps",
"Time/Retired",
"Grid",
"Points"
] |
who was the winner of the race?
|
[
[
"1",
"3",
"Michael Schumacher",
"Ferrari",
"71",
"1:34:45.026",
"2",
"10.0"
],
[
"2",
"4",
"Eddie Irvine",
"Ferrari",
"71",
"+19.575",
"4",
"6.0"
],
[
"3",
"8",
"Mika Hakkinen",
"McLaren-Mercedes",
"71",
"+19.747",
"1",
"4.0"
],
[
"4",
"1",
"Jacques Villeneuve",
"Williams-Mecachrome",
"71",
"+1:06.965",
"5",
"3.0"
],
[
"5",
"6",
"Alexander Wurz",
"Benetton-Playlife",
"70",
"+1 Lap",
"10",
"2.0"
],
[
"6",
"7",
"David Coulthard",
"McLaren-Mercedes",
"70",
"+1 Lap",
"3",
"1.0"
],
[
"7",
"14",
"Jean Alesi",
"Sauber-Petronas",
"70",
"+1 Lap",
"11",
"nan"
],
[
"8",
"15",
"Johnny Herbert",
"Sauber-Petronas",
"70",
"+1 Lap",
"13",
"nan"
],
[
"9",
"5",
"Giancarlo Fisichella",
"Benetton-Playlife",
"70",
"+1 Lap",
"9",
"nan"
],
[
"10",
"18",
"Rubens Barrichello",
"Stewart-Ford",
"69",
"+2 Laps",
"14",
"nan"
],
[
"11",
"11",
"Olivier Panis",
"Prost-Peugeot",
"69",
"+2 Laps",
"16",
"nan"
],
[
"12",
"19",
"Jos Verstappen",
"Stewart-Ford",
"69",
"+2 Laps",
"15",
"nan"
],
[
"13",
"17",
"Mika Salo",
"Arrows",
"69",
"+2 Laps",
"19",
"nan"
],
[
"14",
"16",
"Pedro Diniz",
"Arrows",
"69",
"+2 Laps",
"17",
"nan"
],
[
"15",
"2",
"Heinz-Harald Frentzen",
"Williams-Mecachrome",
"68",
"Suspension",
"8",
"nan"
],
[
"16",
"10",
"Ralf Schumacher",
"Jordan-Mugen-Honda",
"68",
"+3 Laps",
"6",
"nan"
],
[
"17",
"22",
"Shinji Nakano",
"Minardi-Ford",
"65",
"Engine",
"21",
"nan"
],
[
"Ret",
"21",
"Toranosuke Takagi",
"Tyrrell-Ford",
"60",
"Engine",
"20",
"nan"
],
[
"Ret",
"12",
"Jarno Trulli",
"Prost-Peugeot",
"55",
"Spun off",
"12",
"nan"
],
[
"Ret",
"23",
"Esteban Tuero",
"Minardi-Ford",
"41",
"Gearbox",
"22",
"nan"
],
[
"Ret",
"9",
"Damon Hill",
"Jordan-Mugen-Honda",
"19",
"Hydraulics",
"7",
"nan"
],
[
"Ret",
"20",
"Ricardo Rosset",
"Tyrrell-Ford",
"16",
"Hydraulics",
"18",
"nan"
]
] |
[
"Michael Schumacher"
] |
who was the winner of the race? ||
|
nt-13638
|
col : pos | no | driver | constructor | laps | time/retired | grid | points row 1 : 1 | 3 | michael schumacher | ferrari | 71 | 1:34:45.026 | 2 | 10.0 row 2 : 2 | 4 | eddie irvine | ferrari | 71 | +19.575 | 4 | 6.0 row 3 : 3 | 8 | mika hakkinen | mclaren-mercedes | 71 | +19.747 | 1 | 4.0 row 4 : 4 | 1 | jacques villeneuve | williams-mecachrome | 71 | +1:06.965 | 5 | 3.0 row 5 : 5 | 6 | alexander wurz | benetton-playlife | 70 | +1 lap | 10 | 2.0 row 6 : 6 | 7 | david coulthard | mclaren-mercedes | 70 | +1 lap | 3 | 1.0 row 7 : 7 | 14 | jean alesi | sauber-petronas | 70 | +1 lap | 11 | nan row 8 : 8 | 15 | johnny herbert | sauber-petronas | 70 | +1 lap | 13 | nan row 9 : 9 | 5 | giancarlo fisichella | benetton-playlife | 70 | +1 lap | 9 | nan row 10 : 10 | 18 | rubens barrichello | stewart-ford | 69 | +2 laps | 14 | nan row 11 : 11 | 11 | olivier panis | prost-peugeot | 69 | +2 laps | 16 | nan row 12 : 12 | 19 | jos verstappen | stewart-ford | 69 | +2 laps | 15 | nan row 13 : 13 | 17 | mika salo | arrows | 69 | +2 laps | 19 | nan row 14 : 14 | 16 | pedro diniz | arrows | 69 | +2 laps | 17 | nan row 15 : 15 | 2 | heinz-harald frentzen | williams-mecachrome | 68 | suspension | 8 | nan row 16 : 16 | 10 | ralf schumacher | jordan-mugen-honda | 68 | +3 laps | 6 | nan row 17 : 17 | 22 | shinji nakano | minardi-ford | 65 | engine | 21 | nan row 18 : ret | 21 | toranosuke takagi | tyrrell-ford | 60 | engine | 20 | nan row 19 : ret | 12 | jarno trulli | prost-peugeot | 55 | spun off | 12 | nan row 20 : ret | 23 | esteban tuero | minardi-ford | 41 | gearbox | 22 | nan row 21 : ret | 9 | damon hill | jordan-mugen-honda | 19 | hydraulics | 7 | nan row 22 : ret | 20 | ricardo rosset | tyrrell-ford | 16 | hydraulics | 18 | nan
|
table_csv/202_143.csv
| 1 |
{
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5
],
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0
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|
[
"who was the winner of the race?",
"how long did it take him to finish the race?"
] | 1 |
1:34:45.026
|
[
"Pos",
"No",
"Driver",
"Constructor",
"Laps",
"Time/Retired",
"Grid",
"Points"
] |
how long did it take him to finish the race?
|
[
[
"1",
"3",
"Michael Schumacher",
"Ferrari",
"71",
"1:34:45.026",
"2",
"10.0"
],
[
"2",
"4",
"Eddie Irvine",
"Ferrari",
"71",
"+19.575",
"4",
"6.0"
],
[
"3",
"8",
"Mika Hakkinen",
"McLaren-Mercedes",
"71",
"+19.747",
"1",
"4.0"
],
[
"4",
"1",
"Jacques Villeneuve",
"Williams-Mecachrome",
"71",
"+1:06.965",
"5",
"3.0"
],
[
"5",
"6",
"Alexander Wurz",
"Benetton-Playlife",
"70",
"+1 Lap",
"10",
"2.0"
],
[
"6",
"7",
"David Coulthard",
"McLaren-Mercedes",
"70",
"+1 Lap",
"3",
"1.0"
],
[
"7",
"14",
"Jean Alesi",
"Sauber-Petronas",
"70",
"+1 Lap",
"11",
"nan"
],
[
"8",
"15",
"Johnny Herbert",
"Sauber-Petronas",
"70",
"+1 Lap",
"13",
"nan"
],
[
"9",
"5",
"Giancarlo Fisichella",
"Benetton-Playlife",
"70",
"+1 Lap",
"9",
"nan"
],
[
"10",
"18",
"Rubens Barrichello",
"Stewart-Ford",
"69",
"+2 Laps",
"14",
"nan"
],
[
"11",
"11",
"Olivier Panis",
"Prost-Peugeot",
"69",
"+2 Laps",
"16",
"nan"
],
[
"12",
"19",
"Jos Verstappen",
"Stewart-Ford",
"69",
"+2 Laps",
"15",
"nan"
],
[
"13",
"17",
"Mika Salo",
"Arrows",
"69",
"+2 Laps",
"19",
"nan"
],
[
"14",
"16",
"Pedro Diniz",
"Arrows",
"69",
"+2 Laps",
"17",
"nan"
],
[
"15",
"2",
"Heinz-Harald Frentzen",
"Williams-Mecachrome",
"68",
"Suspension",
"8",
"nan"
],
[
"16",
"10",
"Ralf Schumacher",
"Jordan-Mugen-Honda",
"68",
"+3 Laps",
"6",
"nan"
],
[
"17",
"22",
"Shinji Nakano",
"Minardi-Ford",
"65",
"Engine",
"21",
"nan"
],
[
"Ret",
"21",
"Toranosuke Takagi",
"Tyrrell-Ford",
"60",
"Engine",
"20",
"nan"
],
[
"Ret",
"12",
"Jarno Trulli",
"Prost-Peugeot",
"55",
"Spun off",
"12",
"nan"
],
[
"Ret",
"23",
"Esteban Tuero",
"Minardi-Ford",
"41",
"Gearbox",
"22",
"nan"
],
[
"Ret",
"9",
"Damon Hill",
"Jordan-Mugen-Honda",
"19",
"Hydraulics",
"7",
"nan"
],
[
"Ret",
"20",
"Ricardo Rosset",
"Tyrrell-Ford",
"16",
"Hydraulics",
"18",
"nan"
]
] |
[
"1:34:45.026"
] |
how long did it take him to finish the race? || who was the winner of the race?
|
nt-13638
|
col : pos | no | driver | constructor | laps | time/retired | grid | points row 1 : 1 | 3 | michael schumacher | ferrari | 71 | 1:34:45.026 | 2 | 10.0 row 2 : 2 | 4 | eddie irvine | ferrari | 71 | +19.575 | 4 | 6.0 row 3 : 3 | 8 | mika hakkinen | mclaren-mercedes | 71 | +19.747 | 1 | 4.0 row 4 : 4 | 1 | jacques villeneuve | williams-mecachrome | 71 | +1:06.965 | 5 | 3.0 row 5 : 5 | 6 | alexander wurz | benetton-playlife | 70 | +1 lap | 10 | 2.0 row 6 : 6 | 7 | david coulthard | mclaren-mercedes | 70 | +1 lap | 3 | 1.0 row 7 : 7 | 14 | jean alesi | sauber-petronas | 70 | +1 lap | 11 | nan row 8 : 8 | 15 | johnny herbert | sauber-petronas | 70 | +1 lap | 13 | nan row 9 : 9 | 5 | giancarlo fisichella | benetton-playlife | 70 | +1 lap | 9 | nan row 10 : 10 | 18 | rubens barrichello | stewart-ford | 69 | +2 laps | 14 | nan row 11 : 11 | 11 | olivier panis | prost-peugeot | 69 | +2 laps | 16 | nan row 12 : 12 | 19 | jos verstappen | stewart-ford | 69 | +2 laps | 15 | nan row 13 : 13 | 17 | mika salo | arrows | 69 | +2 laps | 19 | nan row 14 : 14 | 16 | pedro diniz | arrows | 69 | +2 laps | 17 | nan row 15 : 15 | 2 | heinz-harald frentzen | williams-mecachrome | 68 | suspension | 8 | nan row 16 : 16 | 10 | ralf schumacher | jordan-mugen-honda | 68 | +3 laps | 6 | nan row 17 : 17 | 22 | shinji nakano | minardi-ford | 65 | engine | 21 | nan row 18 : ret | 21 | toranosuke takagi | tyrrell-ford | 60 | engine | 20 | nan row 19 : ret | 12 | jarno trulli | prost-peugeot | 55 | spun off | 12 | nan row 20 : ret | 23 | esteban tuero | minardi-ford | 41 | gearbox | 22 | nan row 21 : ret | 9 | damon hill | jordan-mugen-honda | 19 | hydraulics | 7 | nan row 22 : ret | 20 | ricardo rosset | tyrrell-ford | 16 | hydraulics | 18 | nan
|
table_csv/202_143.csv
| 0 |
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}
|
[
"who are all of the competitors in the 1998 french grand prix?"
] | 2 |
michael schumacher, eddie irvine, mika hakkinen, jacques villeneuve, alexander wurz, david coulthard, jean alesi, johnny herbert, giancarlo fisichella, rubens barrichello, olivier panis, jos verstappen, mika salo, pedro diniz, heinz-harald frentzen, ralf schumacher, shinji nakano, toranosuke takagi, jarno trulli, esteban tuero, damon hill, ricardo rosset
|
[
"Pos",
"No",
"Driver",
"Constructor",
"Laps",
"Time/Retired",
"Grid",
"Points"
] |
who are all of the competitors in the 1998 french grand prix?
|
[
[
"1",
"3",
"Michael Schumacher",
"Ferrari",
"71",
"1:34:45.026",
"2",
"10.0"
],
[
"2",
"4",
"Eddie Irvine",
"Ferrari",
"71",
"+19.575",
"4",
"6.0"
],
[
"3",
"8",
"Mika Hakkinen",
"McLaren-Mercedes",
"71",
"+19.747",
"1",
"4.0"
],
[
"4",
"1",
"Jacques Villeneuve",
"Williams-Mecachrome",
"71",
"+1:06.965",
"5",
"3.0"
],
[
"5",
"6",
"Alexander Wurz",
"Benetton-Playlife",
"70",
"+1 Lap",
"10",
"2.0"
],
[
"6",
"7",
"David Coulthard",
"McLaren-Mercedes",
"70",
"+1 Lap",
"3",
"1.0"
],
[
"7",
"14",
"Jean Alesi",
"Sauber-Petronas",
"70",
"+1 Lap",
"11",
"nan"
],
[
"8",
"15",
"Johnny Herbert",
"Sauber-Petronas",
"70",
"+1 Lap",
"13",
"nan"
],
[
"9",
"5",
"Giancarlo Fisichella",
"Benetton-Playlife",
"70",
"+1 Lap",
"9",
"nan"
],
[
"10",
"18",
"Rubens Barrichello",
"Stewart-Ford",
"69",
"+2 Laps",
"14",
"nan"
],
[
"11",
"11",
"Olivier Panis",
"Prost-Peugeot",
"69",
"+2 Laps",
"16",
"nan"
],
[
"12",
"19",
"Jos Verstappen",
"Stewart-Ford",
"69",
"+2 Laps",
"15",
"nan"
],
[
"13",
"17",
"Mika Salo",
"Arrows",
"69",
"+2 Laps",
"19",
"nan"
],
[
"14",
"16",
"Pedro Diniz",
"Arrows",
"69",
"+2 Laps",
"17",
"nan"
],
[
"15",
"2",
"Heinz-Harald Frentzen",
"Williams-Mecachrome",
"68",
"Suspension",
"8",
"nan"
],
[
"16",
"10",
"Ralf Schumacher",
"Jordan-Mugen-Honda",
"68",
"+3 Laps",
"6",
"nan"
],
[
"17",
"22",
"Shinji Nakano",
"Minardi-Ford",
"65",
"Engine",
"21",
"nan"
],
[
"Ret",
"21",
"Toranosuke Takagi",
"Tyrrell-Ford",
"60",
"Engine",
"20",
"nan"
],
[
"Ret",
"12",
"Jarno Trulli",
"Prost-Peugeot",
"55",
"Spun off",
"12",
"nan"
],
[
"Ret",
"23",
"Esteban Tuero",
"Minardi-Ford",
"41",
"Gearbox",
"22",
"nan"
],
[
"Ret",
"9",
"Damon Hill",
"Jordan-Mugen-Honda",
"19",
"Hydraulics",
"7",
"nan"
],
[
"Ret",
"20",
"Ricardo Rosset",
"Tyrrell-Ford",
"16",
"Hydraulics",
"18",
"nan"
]
] |
[
"Michael Schumacher",
"Eddie Irvine",
"Mika Hakkinen",
"Jacques Villeneuve",
"Alexander Wurz",
"David Coulthard",
"Jean Alesi",
"Johnny Herbert",
"Giancarlo Fisichella",
"Rubens Barrichello",
"Olivier Panis",
"Jos Verstappen",
"Mika Salo",
"Pedro Diniz",
"Heinz-Harald Frentzen",
"Ralf Schumacher",
"Shinji Nakano",
"Toranosuke Takagi",
"Jarno Trulli",
"Esteban Tuero",
"Damon Hill",
"Ricardo Rosset"
] |
who are all of the competitors in the 1998 french grand prix? ||
|
nt-13638
|
col : pos | no | driver | constructor | laps | time/retired | grid | points row 1 : 1 | 3 | michael schumacher | ferrari | 71 | 1:34:45.026 | 2 | 10.0 row 2 : 2 | 4 | eddie irvine | ferrari | 71 | +19.575 | 4 | 6.0 row 3 : 3 | 8 | mika hakkinen | mclaren-mercedes | 71 | +19.747 | 1 | 4.0 row 4 : 4 | 1 | jacques villeneuve | williams-mecachrome | 71 | +1:06.965 | 5 | 3.0 row 5 : 5 | 6 | alexander wurz | benetton-playlife | 70 | +1 lap | 10 | 2.0 row 6 : 6 | 7 | david coulthard | mclaren-mercedes | 70 | +1 lap | 3 | 1.0 row 7 : 7 | 14 | jean alesi | sauber-petronas | 70 | +1 lap | 11 | nan row 8 : 8 | 15 | johnny herbert | sauber-petronas | 70 | +1 lap | 13 | nan row 9 : 9 | 5 | giancarlo fisichella | benetton-playlife | 70 | +1 lap | 9 | nan row 10 : 10 | 18 | rubens barrichello | stewart-ford | 69 | +2 laps | 14 | nan row 11 : 11 | 11 | olivier panis | prost-peugeot | 69 | +2 laps | 16 | nan row 12 : 12 | 19 | jos verstappen | stewart-ford | 69 | +2 laps | 15 | nan row 13 : 13 | 17 | mika salo | arrows | 69 | +2 laps | 19 | nan row 14 : 14 | 16 | pedro diniz | arrows | 69 | +2 laps | 17 | nan row 15 : 15 | 2 | heinz-harald frentzen | williams-mecachrome | 68 | suspension | 8 | nan row 16 : 16 | 10 | ralf schumacher | jordan-mugen-honda | 68 | +3 laps | 6 | nan row 17 : 17 | 22 | shinji nakano | minardi-ford | 65 | engine | 21 | nan row 18 : ret | 21 | toranosuke takagi | tyrrell-ford | 60 | engine | 20 | nan row 19 : ret | 12 | jarno trulli | prost-peugeot | 55 | spun off | 12 | nan row 20 : ret | 23 | esteban tuero | minardi-ford | 41 | gearbox | 22 | nan row 21 : ret | 9 | damon hill | jordan-mugen-honda | 19 | hydraulics | 7 | nan row 22 : ret | 20 | ricardo rosset | tyrrell-ford | 16 | hydraulics | 18 | nan
|
table_csv/202_143.csv
| 1 |
{
"column_index": [
2
],
"row_index": [
0
]
}
|
[
"who are all of the competitors in the 1998 french grand prix?",
"of all of those competitors, who finished first?"
] | 2 |
michael schumacher
|
[
"Pos",
"No",
"Driver",
"Constructor",
"Laps",
"Time/Retired",
"Grid",
"Points"
] |
of all of those competitors, who finished first?
|
[
[
"1",
"3",
"Michael Schumacher",
"Ferrari",
"71",
"1:34:45.026",
"2",
"10.0"
],
[
"2",
"4",
"Eddie Irvine",
"Ferrari",
"71",
"+19.575",
"4",
"6.0"
],
[
"3",
"8",
"Mika Hakkinen",
"McLaren-Mercedes",
"71",
"+19.747",
"1",
"4.0"
],
[
"4",
"1",
"Jacques Villeneuve",
"Williams-Mecachrome",
"71",
"+1:06.965",
"5",
"3.0"
],
[
"5",
"6",
"Alexander Wurz",
"Benetton-Playlife",
"70",
"+1 Lap",
"10",
"2.0"
],
[
"6",
"7",
"David Coulthard",
"McLaren-Mercedes",
"70",
"+1 Lap",
"3",
"1.0"
],
[
"7",
"14",
"Jean Alesi",
"Sauber-Petronas",
"70",
"+1 Lap",
"11",
"nan"
],
[
"8",
"15",
"Johnny Herbert",
"Sauber-Petronas",
"70",
"+1 Lap",
"13",
"nan"
],
[
"9",
"5",
"Giancarlo Fisichella",
"Benetton-Playlife",
"70",
"+1 Lap",
"9",
"nan"
],
[
"10",
"18",
"Rubens Barrichello",
"Stewart-Ford",
"69",
"+2 Laps",
"14",
"nan"
],
[
"11",
"11",
"Olivier Panis",
"Prost-Peugeot",
"69",
"+2 Laps",
"16",
"nan"
],
[
"12",
"19",
"Jos Verstappen",
"Stewart-Ford",
"69",
"+2 Laps",
"15",
"nan"
],
[
"13",
"17",
"Mika Salo",
"Arrows",
"69",
"+2 Laps",
"19",
"nan"
],
[
"14",
"16",
"Pedro Diniz",
"Arrows",
"69",
"+2 Laps",
"17",
"nan"
],
[
"15",
"2",
"Heinz-Harald Frentzen",
"Williams-Mecachrome",
"68",
"Suspension",
"8",
"nan"
],
[
"16",
"10",
"Ralf Schumacher",
"Jordan-Mugen-Honda",
"68",
"+3 Laps",
"6",
"nan"
],
[
"17",
"22",
"Shinji Nakano",
"Minardi-Ford",
"65",
"Engine",
"21",
"nan"
],
[
"Ret",
"21",
"Toranosuke Takagi",
"Tyrrell-Ford",
"60",
"Engine",
"20",
"nan"
],
[
"Ret",
"12",
"Jarno Trulli",
"Prost-Peugeot",
"55",
"Spun off",
"12",
"nan"
],
[
"Ret",
"23",
"Esteban Tuero",
"Minardi-Ford",
"41",
"Gearbox",
"22",
"nan"
],
[
"Ret",
"9",
"Damon Hill",
"Jordan-Mugen-Honda",
"19",
"Hydraulics",
"7",
"nan"
],
[
"Ret",
"20",
"Ricardo Rosset",
"Tyrrell-Ford",
"16",
"Hydraulics",
"18",
"nan"
]
] |
[
"Michael Schumacher"
] |
of all of those competitors, who finished first? || who are all of the competitors in the 1998 french grand prix?
|
nt-13638
|
col : pos | no | driver | constructor | laps | time/retired | grid | points row 1 : 1 | 3 | michael schumacher | ferrari | 71 | 1:34:45.026 | 2 | 10.0 row 2 : 2 | 4 | eddie irvine | ferrari | 71 | +19.575 | 4 | 6.0 row 3 : 3 | 8 | mika hakkinen | mclaren-mercedes | 71 | +19.747 | 1 | 4.0 row 4 : 4 | 1 | jacques villeneuve | williams-mecachrome | 71 | +1:06.965 | 5 | 3.0 row 5 : 5 | 6 | alexander wurz | benetton-playlife | 70 | +1 lap | 10 | 2.0 row 6 : 6 | 7 | david coulthard | mclaren-mercedes | 70 | +1 lap | 3 | 1.0 row 7 : 7 | 14 | jean alesi | sauber-petronas | 70 | +1 lap | 11 | nan row 8 : 8 | 15 | johnny herbert | sauber-petronas | 70 | +1 lap | 13 | nan row 9 : 9 | 5 | giancarlo fisichella | benetton-playlife | 70 | +1 lap | 9 | nan row 10 : 10 | 18 | rubens barrichello | stewart-ford | 69 | +2 laps | 14 | nan row 11 : 11 | 11 | olivier panis | prost-peugeot | 69 | +2 laps | 16 | nan row 12 : 12 | 19 | jos verstappen | stewart-ford | 69 | +2 laps | 15 | nan row 13 : 13 | 17 | mika salo | arrows | 69 | +2 laps | 19 | nan row 14 : 14 | 16 | pedro diniz | arrows | 69 | +2 laps | 17 | nan row 15 : 15 | 2 | heinz-harald frentzen | williams-mecachrome | 68 | suspension | 8 | nan row 16 : 16 | 10 | ralf schumacher | jordan-mugen-honda | 68 | +3 laps | 6 | nan row 17 : 17 | 22 | shinji nakano | minardi-ford | 65 | engine | 21 | nan row 18 : ret | 21 | toranosuke takagi | tyrrell-ford | 60 | engine | 20 | nan row 19 : ret | 12 | jarno trulli | prost-peugeot | 55 | spun off | 12 | nan row 20 : ret | 23 | esteban tuero | minardi-ford | 41 | gearbox | 22 | nan row 21 : ret | 9 | damon hill | jordan-mugen-honda | 19 | hydraulics | 7 | nan row 22 : ret | 20 | ricardo rosset | tyrrell-ford | 16 | hydraulics | 18 | nan
|
table_csv/202_143.csv
| 2 |
{
"column_index": [
5
],
"row_index": [
0
]
}
|
[
"who are all of the competitors in the 1998 french grand prix?",
"of all of those competitors, who finished first?",
"how long did it take the competitor who finished first to finish the race?"
] | 2 |
1:34:45.026
|
[
"Pos",
"No",
"Driver",
"Constructor",
"Laps",
"Time/Retired",
"Grid",
"Points"
] |
how long did it take the competitor who finished first to finish the race?
|
[
[
"1",
"3",
"Michael Schumacher",
"Ferrari",
"71",
"1:34:45.026",
"2",
"10.0"
],
[
"2",
"4",
"Eddie Irvine",
"Ferrari",
"71",
"+19.575",
"4",
"6.0"
],
[
"3",
"8",
"Mika Hakkinen",
"McLaren-Mercedes",
"71",
"+19.747",
"1",
"4.0"
],
[
"4",
"1",
"Jacques Villeneuve",
"Williams-Mecachrome",
"71",
"+1:06.965",
"5",
"3.0"
],
[
"5",
"6",
"Alexander Wurz",
"Benetton-Playlife",
"70",
"+1 Lap",
"10",
"2.0"
],
[
"6",
"7",
"David Coulthard",
"McLaren-Mercedes",
"70",
"+1 Lap",
"3",
"1.0"
],
[
"7",
"14",
"Jean Alesi",
"Sauber-Petronas",
"70",
"+1 Lap",
"11",
"nan"
],
[
"8",
"15",
"Johnny Herbert",
"Sauber-Petronas",
"70",
"+1 Lap",
"13",
"nan"
],
[
"9",
"5",
"Giancarlo Fisichella",
"Benetton-Playlife",
"70",
"+1 Lap",
"9",
"nan"
],
[
"10",
"18",
"Rubens Barrichello",
"Stewart-Ford",
"69",
"+2 Laps",
"14",
"nan"
],
[
"11",
"11",
"Olivier Panis",
"Prost-Peugeot",
"69",
"+2 Laps",
"16",
"nan"
],
[
"12",
"19",
"Jos Verstappen",
"Stewart-Ford",
"69",
"+2 Laps",
"15",
"nan"
],
[
"13",
"17",
"Mika Salo",
"Arrows",
"69",
"+2 Laps",
"19",
"nan"
],
[
"14",
"16",
"Pedro Diniz",
"Arrows",
"69",
"+2 Laps",
"17",
"nan"
],
[
"15",
"2",
"Heinz-Harald Frentzen",
"Williams-Mecachrome",
"68",
"Suspension",
"8",
"nan"
],
[
"16",
"10",
"Ralf Schumacher",
"Jordan-Mugen-Honda",
"68",
"+3 Laps",
"6",
"nan"
],
[
"17",
"22",
"Shinji Nakano",
"Minardi-Ford",
"65",
"Engine",
"21",
"nan"
],
[
"Ret",
"21",
"Toranosuke Takagi",
"Tyrrell-Ford",
"60",
"Engine",
"20",
"nan"
],
[
"Ret",
"12",
"Jarno Trulli",
"Prost-Peugeot",
"55",
"Spun off",
"12",
"nan"
],
[
"Ret",
"23",
"Esteban Tuero",
"Minardi-Ford",
"41",
"Gearbox",
"22",
"nan"
],
[
"Ret",
"9",
"Damon Hill",
"Jordan-Mugen-Honda",
"19",
"Hydraulics",
"7",
"nan"
],
[
"Ret",
"20",
"Ricardo Rosset",
"Tyrrell-Ford",
"16",
"Hydraulics",
"18",
"nan"
]
] |
[
"1:34:45.026"
] |
how long did it take the competitor who finished first to finish the race? || of all of those competitors, who finished first? | who are all of the competitors in the 1998 french grand prix?
|
nt-8328
|
col : rank | npc | gold | silver | bronze | total row 1 : 1 | china (chn) | 95 | 71 | 65 | 231 row 2 : 2 | russia (rus) | 36 | 38 | 28 | 102 row 3 : 3 | great britain (gbr)* | 34 | 43 | 43 | 120 row 4 : 4 | ukraine (ukr) | 32 | 24 | 28 | 84 row 5 : 5 | australia (aus) | 32 | 23 | 30 | 85 row 6 : 6 | united states (usa) | 31 | 29 | 38 | 98 row 7 : 7 | brazil (bra) | 21 | 14 | 8 | 43 row 8 : 8 | germany (ger) | 18 | 26 | 22 | 66 row 9 : 9 | poland (pol) | 14 | 13 | 9 | 36 row 10 : 10 | netherlands (ned) | 10 | 10 | 19 | 39 row 11 : total (75 npcs) | total (75 npcs) | 503 | 503 | 516 | 1522
|
table_csv/203_707.csv
| 0 |
{
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2,
2,
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2,
2
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2,
3,
4,
5,
6,
7,
8,
9
]
}
|
[
"what are the listed values of gold medals won by individual nations?"
] | 0 |
95, 36, 34, 32, 32, 31, 21, 18, 14, 10
|
[
"Rank",
"NPC",
"Gold",
"Silver",
"Bronze",
"Total"
] |
what are the listed values of gold medals won by individual nations?
|
[
[
"1",
"China (CHN)",
"95",
"71",
"65",
"231"
],
[
"2",
"Russia (RUS)",
"36",
"38",
"28",
"102"
],
[
"3",
"Great Britain (GBR)*",
"34",
"43",
"43",
"120"
],
[
"4",
"Ukraine (UKR)",
"32",
"24",
"28",
"84"
],
[
"5",
"Australia (AUS)",
"32",
"23",
"30",
"85"
],
[
"6",
"United States (USA)",
"31",
"29",
"38",
"98"
],
[
"7",
"Brazil (BRA)",
"21",
"14",
"8",
"43"
],
[
"8",
"Germany (GER)",
"18",
"26",
"22",
"66"
],
[
"9",
"Poland (POL)",
"14",
"13",
"9",
"36"
],
[
"10",
"Netherlands (NED)",
"10",
"10",
"19",
"39"
],
[
"Total (75 NPCs)",
"Total (75 NPCs)",
"503",
"503",
"516",
"1522"
]
] |
[
"95",
"36",
"34",
"32",
"32",
"31",
"21",
"18",
"14",
"10"
] |
what are the listed values of gold medals won by individual nations? ||
|
nt-8328
|
col : rank | npc | gold | silver | bronze | total row 1 : 1 | china (chn) | 95 | 71 | 65 | 231 row 2 : 2 | russia (rus) | 36 | 38 | 28 | 102 row 3 : 3 | great britain (gbr)* | 34 | 43 | 43 | 120 row 4 : 4 | ukraine (ukr) | 32 | 24 | 28 | 84 row 5 : 5 | australia (aus) | 32 | 23 | 30 | 85 row 6 : 6 | united states (usa) | 31 | 29 | 38 | 98 row 7 : 7 | brazil (bra) | 21 | 14 | 8 | 43 row 8 : 8 | germany (ger) | 18 | 26 | 22 | 66 row 9 : 9 | poland (pol) | 14 | 13 | 9 | 36 row 10 : 10 | netherlands (ned) | 10 | 10 | 19 | 39 row 11 : total (75 npcs) | total (75 npcs) | 503 | 503 | 516 | 1522
|
table_csv/203_707.csv
| 1 |
{
"column_index": [
2
],
"row_index": [
9
]
}
|
[
"what are the listed values of gold medals won by individual nations?",
"which of these is the lowest?"
] | 0 |
10
|
[
"Rank",
"NPC",
"Gold",
"Silver",
"Bronze",
"Total"
] |
which of these is the lowest?
|
[
[
"1",
"China (CHN)",
"95",
"71",
"65",
"231"
],
[
"2",
"Russia (RUS)",
"36",
"38",
"28",
"102"
],
[
"3",
"Great Britain (GBR)*",
"34",
"43",
"43",
"120"
],
[
"4",
"Ukraine (UKR)",
"32",
"24",
"28",
"84"
],
[
"5",
"Australia (AUS)",
"32",
"23",
"30",
"85"
],
[
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"United States (USA)",
"31",
"29",
"38",
"98"
],
[
"7",
"Brazil (BRA)",
"21",
"14",
"8",
"43"
],
[
"8",
"Germany (GER)",
"18",
"26",
"22",
"66"
],
[
"9",
"Poland (POL)",
"14",
"13",
"9",
"36"
],
[
"10",
"Netherlands (NED)",
"10",
"10",
"19",
"39"
],
[
"Total (75 NPCs)",
"Total (75 NPCs)",
"503",
"503",
"516",
"1522"
]
] |
[
"10"
] |
which of these is the lowest? || what are the listed values of gold medals won by individual nations?
|
nt-8328
|
col : rank | npc | gold | silver | bronze | total row 1 : 1 | china (chn) | 95 | 71 | 65 | 231 row 2 : 2 | russia (rus) | 36 | 38 | 28 | 102 row 3 : 3 | great britain (gbr)* | 34 | 43 | 43 | 120 row 4 : 4 | ukraine (ukr) | 32 | 24 | 28 | 84 row 5 : 5 | australia (aus) | 32 | 23 | 30 | 85 row 6 : 6 | united states (usa) | 31 | 29 | 38 | 98 row 7 : 7 | brazil (bra) | 21 | 14 | 8 | 43 row 8 : 8 | germany (ger) | 18 | 26 | 22 | 66 row 9 : 9 | poland (pol) | 14 | 13 | 9 | 36 row 10 : 10 | netherlands (ned) | 10 | 10 | 19 | 39 row 11 : total (75 npcs) | total (75 npcs) | 503 | 503 | 516 | 1522
|
table_csv/203_707.csv
| 2 |
{
"column_index": [
1
],
"row_index": [
9
]
}
|
[
"what are the listed values of gold medals won by individual nations?",
"which of these is the lowest?",
"to what country does that value belong?"
] | 0 |
netherlands (ned)
|
[
"Rank",
"NPC",
"Gold",
"Silver",
"Bronze",
"Total"
] |
to what country does that value belong?
|
[
[
"1",
"China (CHN)",
"95",
"71",
"65",
"231"
],
[
"2",
"Russia (RUS)",
"36",
"38",
"28",
"102"
],
[
"3",
"Great Britain (GBR)*",
"34",
"43",
"43",
"120"
],
[
"4",
"Ukraine (UKR)",
"32",
"24",
"28",
"84"
],
[
"5",
"Australia (AUS)",
"32",
"23",
"30",
"85"
],
[
"6",
"United States (USA)",
"31",
"29",
"38",
"98"
],
[
"7",
"Brazil (BRA)",
"21",
"14",
"8",
"43"
],
[
"8",
"Germany (GER)",
"18",
"26",
"22",
"66"
],
[
"9",
"Poland (POL)",
"14",
"13",
"9",
"36"
],
[
"10",
"Netherlands (NED)",
"10",
"10",
"19",
"39"
],
[
"Total (75 NPCs)",
"Total (75 NPCs)",
"503",
"503",
"516",
"1522"
]
] |
[
"Netherlands (NED)"
] |
to what country does that value belong? || which of these is the lowest? | what are the listed values of gold medals won by individual nations?
|
nt-8328
|
col : rank | npc | gold | silver | bronze | total row 1 : 1 | china (chn) | 95 | 71 | 65 | 231 row 2 : 2 | russia (rus) | 36 | 38 | 28 | 102 row 3 : 3 | great britain (gbr)* | 34 | 43 | 43 | 120 row 4 : 4 | ukraine (ukr) | 32 | 24 | 28 | 84 row 5 : 5 | australia (aus) | 32 | 23 | 30 | 85 row 6 : 6 | united states (usa) | 31 | 29 | 38 | 98 row 7 : 7 | brazil (bra) | 21 | 14 | 8 | 43 row 8 : 8 | germany (ger) | 18 | 26 | 22 | 66 row 9 : 9 | poland (pol) | 14 | 13 | 9 | 36 row 10 : 10 | netherlands (ned) | 10 | 10 | 19 | 39 row 11 : total (75 npcs) | total (75 npcs) | 503 | 503 | 516 | 1522
|
table_csv/203_707.csv
| 0 |
{
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1,
1,
1,
1,
1,
1,
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2,
3,
4,
5,
6,
7,
8,
9
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}
|
[
"which countries were at the 2012 summer paralympics?"
] | 1 |
china (chn), russia (rus), great britain (gbr)*, ukraine (ukr), australia (aus), united states (usa), brazil (bra), germany (ger), poland (pol), netherlands (ned)
|
[
"Rank",
"NPC",
"Gold",
"Silver",
"Bronze",
"Total"
] |
which countries were at the 2012 summer paralympics?
|
[
[
"1",
"China (CHN)",
"95",
"71",
"65",
"231"
],
[
"2",
"Russia (RUS)",
"36",
"38",
"28",
"102"
],
[
"3",
"Great Britain (GBR)*",
"34",
"43",
"43",
"120"
],
[
"4",
"Ukraine (UKR)",
"32",
"24",
"28",
"84"
],
[
"5",
"Australia (AUS)",
"32",
"23",
"30",
"85"
],
[
"6",
"United States (USA)",
"31",
"29",
"38",
"98"
],
[
"7",
"Brazil (BRA)",
"21",
"14",
"8",
"43"
],
[
"8",
"Germany (GER)",
"18",
"26",
"22",
"66"
],
[
"9",
"Poland (POL)",
"14",
"13",
"9",
"36"
],
[
"10",
"Netherlands (NED)",
"10",
"10",
"19",
"39"
],
[
"Total (75 NPCs)",
"Total (75 NPCs)",
"503",
"503",
"516",
"1522"
]
] |
[
"China (CHN)",
"Russia (RUS)",
"Great Britain (GBR)*",
"Ukraine (UKR)",
"Australia (AUS)",
"United States (USA)",
"Brazil (BRA)",
"Germany (GER)",
"Poland (POL)",
"Netherlands (NED)"
] |
which countries were at the 2012 summer paralympics? ||
|
nt-8328
|
col : rank | npc | gold | silver | bronze | total row 1 : 1 | china (chn) | 95 | 71 | 65 | 231 row 2 : 2 | russia (rus) | 36 | 38 | 28 | 102 row 3 : 3 | great britain (gbr)* | 34 | 43 | 43 | 120 row 4 : 4 | ukraine (ukr) | 32 | 24 | 28 | 84 row 5 : 5 | australia (aus) | 32 | 23 | 30 | 85 row 6 : 6 | united states (usa) | 31 | 29 | 38 | 98 row 7 : 7 | brazil (bra) | 21 | 14 | 8 | 43 row 8 : 8 | germany (ger) | 18 | 26 | 22 | 66 row 9 : 9 | poland (pol) | 14 | 13 | 9 | 36 row 10 : 10 | netherlands (ned) | 10 | 10 | 19 | 39 row 11 : total (75 npcs) | total (75 npcs) | 503 | 503 | 516 | 1522
|
table_csv/203_707.csv
| 1 |
{
"column_index": [
1,
2
],
"row_index": [
9,
9
]
}
|
[
"which countries were at the 2012 summer paralympics?",
"what was the least amount of gold medals?"
] | 1 |
netherlands (ned), 10
|
[
"Rank",
"NPC",
"Gold",
"Silver",
"Bronze",
"Total"
] |
what was the least amount of gold medals?
|
[
[
"1",
"China (CHN)",
"95",
"71",
"65",
"231"
],
[
"2",
"Russia (RUS)",
"36",
"38",
"28",
"102"
],
[
"3",
"Great Britain (GBR)*",
"34",
"43",
"43",
"120"
],
[
"4",
"Ukraine (UKR)",
"32",
"24",
"28",
"84"
],
[
"5",
"Australia (AUS)",
"32",
"23",
"30",
"85"
],
[
"6",
"United States (USA)",
"31",
"29",
"38",
"98"
],
[
"7",
"Brazil (BRA)",
"21",
"14",
"8",
"43"
],
[
"8",
"Germany (GER)",
"18",
"26",
"22",
"66"
],
[
"9",
"Poland (POL)",
"14",
"13",
"9",
"36"
],
[
"10",
"Netherlands (NED)",
"10",
"10",
"19",
"39"
],
[
"Total (75 NPCs)",
"Total (75 NPCs)",
"503",
"503",
"516",
"1522"
]
] |
[
"Netherlands (NED)",
"10"
] |
what was the least amount of gold medals? || which countries were at the 2012 summer paralympics?
|
nt-8328
|
col : rank | npc | gold | silver | bronze | total row 1 : 1 | china (chn) | 95 | 71 | 65 | 231 row 2 : 2 | russia (rus) | 36 | 38 | 28 | 102 row 3 : 3 | great britain (gbr)* | 34 | 43 | 43 | 120 row 4 : 4 | ukraine (ukr) | 32 | 24 | 28 | 84 row 5 : 5 | australia (aus) | 32 | 23 | 30 | 85 row 6 : 6 | united states (usa) | 31 | 29 | 38 | 98 row 7 : 7 | brazil (bra) | 21 | 14 | 8 | 43 row 8 : 8 | germany (ger) | 18 | 26 | 22 | 66 row 9 : 9 | poland (pol) | 14 | 13 | 9 | 36 row 10 : 10 | netherlands (ned) | 10 | 10 | 19 | 39 row 11 : total (75 npcs) | total (75 npcs) | 503 | 503 | 516 | 1522
|
table_csv/203_707.csv
| 2 |
{
"column_index": [
1
],
"row_index": [
9
]
}
|
[
"which countries were at the 2012 summer paralympics?",
"what was the least amount of gold medals?",
"what country won the least?"
] | 1 |
netherlands (ned)
|
[
"Rank",
"NPC",
"Gold",
"Silver",
"Bronze",
"Total"
] |
what country won the least?
|
[
[
"1",
"China (CHN)",
"95",
"71",
"65",
"231"
],
[
"2",
"Russia (RUS)",
"36",
"38",
"28",
"102"
],
[
"3",
"Great Britain (GBR)*",
"34",
"43",
"43",
"120"
],
[
"4",
"Ukraine (UKR)",
"32",
"24",
"28",
"84"
],
[
"5",
"Australia (AUS)",
"32",
"23",
"30",
"85"
],
[
"6",
"United States (USA)",
"31",
"29",
"38",
"98"
],
[
"7",
"Brazil (BRA)",
"21",
"14",
"8",
"43"
],
[
"8",
"Germany (GER)",
"18",
"26",
"22",
"66"
],
[
"9",
"Poland (POL)",
"14",
"13",
"9",
"36"
],
[
"10",
"Netherlands (NED)",
"10",
"10",
"19",
"39"
],
[
"Total (75 NPCs)",
"Total (75 NPCs)",
"503",
"503",
"516",
"1522"
]
] |
[
"Netherlands (NED)"
] |
what country won the least? || what was the least amount of gold medals? | which countries were at the 2012 summer paralympics?
|
nt-8328
|
col : rank | npc | gold | silver | bronze | total row 1 : 1 | china (chn) | 95 | 71 | 65 | 231 row 2 : 2 | russia (rus) | 36 | 38 | 28 | 102 row 3 : 3 | great britain (gbr)* | 34 | 43 | 43 | 120 row 4 : 4 | ukraine (ukr) | 32 | 24 | 28 | 84 row 5 : 5 | australia (aus) | 32 | 23 | 30 | 85 row 6 : 6 | united states (usa) | 31 | 29 | 38 | 98 row 7 : 7 | brazil (bra) | 21 | 14 | 8 | 43 row 8 : 8 | germany (ger) | 18 | 26 | 22 | 66 row 9 : 9 | poland (pol) | 14 | 13 | 9 | 36 row 10 : 10 | netherlands (ned) | 10 | 10 | 19 | 39 row 11 : total (75 npcs) | total (75 npcs) | 503 | 503 | 516 | 1522
|
table_csv/203_707.csv
| 0 |
{
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
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0,
1,
2,
3,
4,
5,
6,
7,
8,
9
]
}
|
[
"which countries won the top 10 most medals in the 2012 summer paralympics?"
] | 2 |
china (chn), russia (rus), great britain (gbr)*, ukraine (ukr), australia (aus), united states (usa), brazil (bra), germany (ger), poland (pol), netherlands (ned)
|
[
"Rank",
"NPC",
"Gold",
"Silver",
"Bronze",
"Total"
] |
which countries won the top 10 most medals in the 2012 summer paralympics?
|
[
[
"1",
"China (CHN)",
"95",
"71",
"65",
"231"
],
[
"2",
"Russia (RUS)",
"36",
"38",
"28",
"102"
],
[
"3",
"Great Britain (GBR)*",
"34",
"43",
"43",
"120"
],
[
"4",
"Ukraine (UKR)",
"32",
"24",
"28",
"84"
],
[
"5",
"Australia (AUS)",
"32",
"23",
"30",
"85"
],
[
"6",
"United States (USA)",
"31",
"29",
"38",
"98"
],
[
"7",
"Brazil (BRA)",
"21",
"14",
"8",
"43"
],
[
"8",
"Germany (GER)",
"18",
"26",
"22",
"66"
],
[
"9",
"Poland (POL)",
"14",
"13",
"9",
"36"
],
[
"10",
"Netherlands (NED)",
"10",
"10",
"19",
"39"
],
[
"Total (75 NPCs)",
"Total (75 NPCs)",
"503",
"503",
"516",
"1522"
]
] |
[
"China (CHN)",
"Russia (RUS)",
"Great Britain (GBR)*",
"Ukraine (UKR)",
"Australia (AUS)",
"United States (USA)",
"Brazil (BRA)",
"Germany (GER)",
"Poland (POL)",
"Netherlands (NED)"
] |
which countries won the top 10 most medals in the 2012 summer paralympics? ||
|
nt-8328
|
col : rank | npc | gold | silver | bronze | total row 1 : 1 | china (chn) | 95 | 71 | 65 | 231 row 2 : 2 | russia (rus) | 36 | 38 | 28 | 102 row 3 : 3 | great britain (gbr)* | 34 | 43 | 43 | 120 row 4 : 4 | ukraine (ukr) | 32 | 24 | 28 | 84 row 5 : 5 | australia (aus) | 32 | 23 | 30 | 85 row 6 : 6 | united states (usa) | 31 | 29 | 38 | 98 row 7 : 7 | brazil (bra) | 21 | 14 | 8 | 43 row 8 : 8 | germany (ger) | 18 | 26 | 22 | 66 row 9 : 9 | poland (pol) | 14 | 13 | 9 | 36 row 10 : 10 | netherlands (ned) | 10 | 10 | 19 | 39 row 11 : total (75 npcs) | total (75 npcs) | 503 | 503 | 516 | 1522
|
table_csv/203_707.csv
| 1 |
{
"column_index": [
1
],
"row_index": [
9
]
}
|
[
"which countries won the top 10 most medals in the 2012 summer paralympics?",
"which of those countries won the least amount of gold medals?"
] | 2 |
netherlands (ned)
|
[
"Rank",
"NPC",
"Gold",
"Silver",
"Bronze",
"Total"
] |
which of those countries won the least amount of gold medals?
|
[
[
"1",
"China (CHN)",
"95",
"71",
"65",
"231"
],
[
"2",
"Russia (RUS)",
"36",
"38",
"28",
"102"
],
[
"3",
"Great Britain (GBR)*",
"34",
"43",
"43",
"120"
],
[
"4",
"Ukraine (UKR)",
"32",
"24",
"28",
"84"
],
[
"5",
"Australia (AUS)",
"32",
"23",
"30",
"85"
],
[
"6",
"United States (USA)",
"31",
"29",
"38",
"98"
],
[
"7",
"Brazil (BRA)",
"21",
"14",
"8",
"43"
],
[
"8",
"Germany (GER)",
"18",
"26",
"22",
"66"
],
[
"9",
"Poland (POL)",
"14",
"13",
"9",
"36"
],
[
"10",
"Netherlands (NED)",
"10",
"10",
"19",
"39"
],
[
"Total (75 NPCs)",
"Total (75 NPCs)",
"503",
"503",
"516",
"1522"
]
] |
[
"Netherlands (NED)"
] |
which of those countries won the least amount of gold medals? || which countries won the top 10 most medals in the 2012 summer paralympics?
|
ns-1359
|
col : rank | name | nationality | result | notes row 1 : nan | huang qiuyan | china | 14.39 | sb row 2 : nan | anastasiya juravleva | uzbekistan | 14.21 | =sb row 3 : nan | zhang hao | china | 13.63 | nan row 4 : 4.0 | wacharee ritthiwat | thailand | 13.54 | sb row 5 : 5.0 | tatyana bocharova | kazakhstan | 13.50 | nan row 6 : 6.0 | wang kuo-huei | chinese taipei | 13.25 | sb row 7 : 7.0 | fumiyo yoshida | japan | 13.09 | nan row 8 : 8.0 | ngew sin mei | malaysia | 12.93 | nan row 9 : 9.0 | manisha dey | india | 12.83 | nan row 10 : 10.0 | thitima muangjan | thailand | 12.79 | nan row 11 : 11.0 | phan thi thu lan | vietnam | 12.75 | nan row 12 : 12.0 | lo yu-hsin | chinese taipei | 12.69 | nan row 13 : nan | elena bobrovskaya | kyrgyzstan | dns | nan
|
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|
[
"which contestants took part in the women's triple jump in the 2003 asian athletics competition?"
] | 0 |
huang qiuyan, anastasiya juravleva, zhang hao, wacharee ritthiwat, tatyana bocharova, wang kuo-huei, fumiyo yoshida, ngew sin mei, manisha dey, thitima muangjan, phan thi thu lan, lo yu-hsin, elena bobrovskaya
|
[
"Rank",
"Name",
"Nationality",
"Result",
"Notes"
] |
which contestants took part in the women's triple jump in the 2003 asian athletics competition?
|
[
[
"nan",
"Huang Qiuyan",
"China",
"14.39",
"SB"
],
[
"nan",
"Anastasiya Juravleva",
"Uzbekistan",
"14.21",
"=SB"
],
[
"nan",
"Zhang Hao",
"China",
"13.63",
"nan"
],
[
"4.0",
"Wacharee Ritthiwat",
"Thailand",
"13.54",
"SB"
],
[
"5.0",
"Tatyana Bocharova",
"Kazakhstan",
"13.50",
"nan"
],
[
"6.0",
"Wang Kuo-Huei",
"Chinese Taipei",
"13.25",
"SB"
],
[
"7.0",
"Fumiyo Yoshida",
"Japan",
"13.09",
"nan"
],
[
"8.0",
"Ngew Sin Mei",
"Malaysia",
"12.93",
"nan"
],
[
"9.0",
"Manisha Dey",
"India",
"12.83",
"nan"
],
[
"10.0",
"Thitima Muangjan",
"Thailand",
"12.79",
"nan"
],
[
"11.0",
"Phan Thi Thu Lan",
"Vietnam",
"12.75",
"nan"
],
[
"12.0",
"Lo Yu-Hsin",
"Chinese Taipei",
"12.69",
"nan"
],
[
"nan",
"Elena Bobrovskaya",
"Kyrgyzstan",
"DNS",
"nan"
]
] |
[
"Huang Qiuyan",
"Anastasiya Juravleva",
"Zhang Hao",
"Wacharee Ritthiwat",
"Tatyana Bocharova",
"Wang Kuo-Huei",
"Fumiyo Yoshida",
"Ngew Sin Mei",
"Manisha Dey",
"Thitima Muangjan",
"Phan Thi Thu Lan",
"Lo Yu-Hsin",
"Elena Bobrovskaya"
] |
which contestants took part in the women's triple jump in the 2003 asian athletics competition? ||
|
ns-1359
|
col : rank | name | nationality | result | notes row 1 : nan | huang qiuyan | china | 14.39 | sb row 2 : nan | anastasiya juravleva | uzbekistan | 14.21 | =sb row 3 : nan | zhang hao | china | 13.63 | nan row 4 : 4.0 | wacharee ritthiwat | thailand | 13.54 | sb row 5 : 5.0 | tatyana bocharova | kazakhstan | 13.50 | nan row 6 : 6.0 | wang kuo-huei | chinese taipei | 13.25 | sb row 7 : 7.0 | fumiyo yoshida | japan | 13.09 | nan row 8 : 8.0 | ngew sin mei | malaysia | 12.93 | nan row 9 : 9.0 | manisha dey | india | 12.83 | nan row 10 : 10.0 | thitima muangjan | thailand | 12.79 | nan row 11 : 11.0 | phan thi thu lan | vietnam | 12.75 | nan row 12 : 12.0 | lo yu-hsin | chinese taipei | 12.69 | nan row 13 : nan | elena bobrovskaya | kyrgyzstan | dns | nan
|
table_csv/204_910.csv
| 1 |
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|
[
"which contestants took part in the women's triple jump in the 2003 asian athletics competition?",
"of the contestants who took part in that women's triple jump, which were from china?"
] | 0 |
huang qiuyan, zhang hao
|
[
"Rank",
"Name",
"Nationality",
"Result",
"Notes"
] |
of the contestants who took part in that women's triple jump, which were from china?
|
[
[
"nan",
"Huang Qiuyan",
"China",
"14.39",
"SB"
],
[
"nan",
"Anastasiya Juravleva",
"Uzbekistan",
"14.21",
"=SB"
],
[
"nan",
"Zhang Hao",
"China",
"13.63",
"nan"
],
[
"4.0",
"Wacharee Ritthiwat",
"Thailand",
"13.54",
"SB"
],
[
"5.0",
"Tatyana Bocharova",
"Kazakhstan",
"13.50",
"nan"
],
[
"6.0",
"Wang Kuo-Huei",
"Chinese Taipei",
"13.25",
"SB"
],
[
"7.0",
"Fumiyo Yoshida",
"Japan",
"13.09",
"nan"
],
[
"8.0",
"Ngew Sin Mei",
"Malaysia",
"12.93",
"nan"
],
[
"9.0",
"Manisha Dey",
"India",
"12.83",
"nan"
],
[
"10.0",
"Thitima Muangjan",
"Thailand",
"12.79",
"nan"
],
[
"11.0",
"Phan Thi Thu Lan",
"Vietnam",
"12.75",
"nan"
],
[
"12.0",
"Lo Yu-Hsin",
"Chinese Taipei",
"12.69",
"nan"
],
[
"nan",
"Elena Bobrovskaya",
"Kyrgyzstan",
"DNS",
"nan"
]
] |
[
"Huang Qiuyan",
"Zhang Hao"
] |
of the contestants who took part in that women's triple jump, which were from china? || which contestants took part in the women's triple jump in the 2003 asian athletics competition?
|
ns-1359
|
col : rank | name | nationality | result | notes row 1 : nan | huang qiuyan | china | 14.39 | sb row 2 : nan | anastasiya juravleva | uzbekistan | 14.21 | =sb row 3 : nan | zhang hao | china | 13.63 | nan row 4 : 4.0 | wacharee ritthiwat | thailand | 13.54 | sb row 5 : 5.0 | tatyana bocharova | kazakhstan | 13.50 | nan row 6 : 6.0 | wang kuo-huei | chinese taipei | 13.25 | sb row 7 : 7.0 | fumiyo yoshida | japan | 13.09 | nan row 8 : 8.0 | ngew sin mei | malaysia | 12.93 | nan row 9 : 9.0 | manisha dey | india | 12.83 | nan row 10 : 10.0 | thitima muangjan | thailand | 12.79 | nan row 11 : 11.0 | phan thi thu lan | vietnam | 12.75 | nan row 12 : 12.0 | lo yu-hsin | chinese taipei | 12.69 | nan row 13 : nan | elena bobrovskaya | kyrgyzstan | dns | nan
|
table_csv/204_910.csv
| 2 |
{
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1
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|
[
"which contestants took part in the women's triple jump in the 2003 asian athletics competition?",
"of the contestants who took part in that women's triple jump, which were from china?",
"of the contestants who were from china, which was ranked first?"
] | 0 |
huang qiuyan
|
[
"Rank",
"Name",
"Nationality",
"Result",
"Notes"
] |
of the contestants who were from china, which was ranked first?
|
[
[
"nan",
"Huang Qiuyan",
"China",
"14.39",
"SB"
],
[
"nan",
"Anastasiya Juravleva",
"Uzbekistan",
"14.21",
"=SB"
],
[
"nan",
"Zhang Hao",
"China",
"13.63",
"nan"
],
[
"4.0",
"Wacharee Ritthiwat",
"Thailand",
"13.54",
"SB"
],
[
"5.0",
"Tatyana Bocharova",
"Kazakhstan",
"13.50",
"nan"
],
[
"6.0",
"Wang Kuo-Huei",
"Chinese Taipei",
"13.25",
"SB"
],
[
"7.0",
"Fumiyo Yoshida",
"Japan",
"13.09",
"nan"
],
[
"8.0",
"Ngew Sin Mei",
"Malaysia",
"12.93",
"nan"
],
[
"9.0",
"Manisha Dey",
"India",
"12.83",
"nan"
],
[
"10.0",
"Thitima Muangjan",
"Thailand",
"12.79",
"nan"
],
[
"11.0",
"Phan Thi Thu Lan",
"Vietnam",
"12.75",
"nan"
],
[
"12.0",
"Lo Yu-Hsin",
"Chinese Taipei",
"12.69",
"nan"
],
[
"nan",
"Elena Bobrovskaya",
"Kyrgyzstan",
"DNS",
"nan"
]
] |
[
"Huang Qiuyan"
] |
of the contestants who were from china, which was ranked first? || of the contestants who took part in that women's triple jump, which were from china? | which contestants took part in the women's triple jump in the 2003 asian athletics competition?
|
ns-1359
|
col : rank | name | nationality | result | notes row 1 : nan | huang qiuyan | china | 14.39 | sb row 2 : nan | anastasiya juravleva | uzbekistan | 14.21 | =sb row 3 : nan | zhang hao | china | 13.63 | nan row 4 : 4.0 | wacharee ritthiwat | thailand | 13.54 | sb row 5 : 5.0 | tatyana bocharova | kazakhstan | 13.50 | nan row 6 : 6.0 | wang kuo-huei | chinese taipei | 13.25 | sb row 7 : 7.0 | fumiyo yoshida | japan | 13.09 | nan row 8 : 8.0 | ngew sin mei | malaysia | 12.93 | nan row 9 : 9.0 | manisha dey | india | 12.83 | nan row 10 : 10.0 | thitima muangjan | thailand | 12.79 | nan row 11 : 11.0 | phan thi thu lan | vietnam | 12.75 | nan row 12 : 12.0 | lo yu-hsin | chinese taipei | 12.69 | nan row 13 : nan | elena bobrovskaya | kyrgyzstan | dns | nan
|
table_csv/204_910.csv
| 0 |
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|
[
"what are all the competitors?"
] | 1 |
huang qiuyan, anastasiya juravleva, zhang hao, wacharee ritthiwat, tatyana bocharova, wang kuo-huei, fumiyo yoshida, ngew sin mei, manisha dey, thitima muangjan, phan thi thu lan, lo yu-hsin, elena bobrovskaya
|
[
"Rank",
"Name",
"Nationality",
"Result",
"Notes"
] |
what are all the competitors?
|
[
[
"nan",
"Huang Qiuyan",
"China",
"14.39",
"SB"
],
[
"nan",
"Anastasiya Juravleva",
"Uzbekistan",
"14.21",
"=SB"
],
[
"nan",
"Zhang Hao",
"China",
"13.63",
"nan"
],
[
"4.0",
"Wacharee Ritthiwat",
"Thailand",
"13.54",
"SB"
],
[
"5.0",
"Tatyana Bocharova",
"Kazakhstan",
"13.50",
"nan"
],
[
"6.0",
"Wang Kuo-Huei",
"Chinese Taipei",
"13.25",
"SB"
],
[
"7.0",
"Fumiyo Yoshida",
"Japan",
"13.09",
"nan"
],
[
"8.0",
"Ngew Sin Mei",
"Malaysia",
"12.93",
"nan"
],
[
"9.0",
"Manisha Dey",
"India",
"12.83",
"nan"
],
[
"10.0",
"Thitima Muangjan",
"Thailand",
"12.79",
"nan"
],
[
"11.0",
"Phan Thi Thu Lan",
"Vietnam",
"12.75",
"nan"
],
[
"12.0",
"Lo Yu-Hsin",
"Chinese Taipei",
"12.69",
"nan"
],
[
"nan",
"Elena Bobrovskaya",
"Kyrgyzstan",
"DNS",
"nan"
]
] |
[
"Huang Qiuyan",
"Anastasiya Juravleva",
"Zhang Hao",
"Wacharee Ritthiwat",
"Tatyana Bocharova",
"Wang Kuo-Huei",
"Fumiyo Yoshida",
"Ngew Sin Mei",
"Manisha Dey",
"Thitima Muangjan",
"Phan Thi Thu Lan",
"Lo Yu-Hsin",
"Elena Bobrovskaya"
] |
what are all the competitors? ||
|
ns-1359
|
col : rank | name | nationality | result | notes row 1 : nan | huang qiuyan | china | 14.39 | sb row 2 : nan | anastasiya juravleva | uzbekistan | 14.21 | =sb row 3 : nan | zhang hao | china | 13.63 | nan row 4 : 4.0 | wacharee ritthiwat | thailand | 13.54 | sb row 5 : 5.0 | tatyana bocharova | kazakhstan | 13.50 | nan row 6 : 6.0 | wang kuo-huei | chinese taipei | 13.25 | sb row 7 : 7.0 | fumiyo yoshida | japan | 13.09 | nan row 8 : 8.0 | ngew sin mei | malaysia | 12.93 | nan row 9 : 9.0 | manisha dey | india | 12.83 | nan row 10 : 10.0 | thitima muangjan | thailand | 12.79 | nan row 11 : 11.0 | phan thi thu lan | vietnam | 12.75 | nan row 12 : 12.0 | lo yu-hsin | chinese taipei | 12.69 | nan row 13 : nan | elena bobrovskaya | kyrgyzstan | dns | nan
|
table_csv/204_910.csv
| 1 |
{
"column_index": [
1,
1
],
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0,
2
]
}
|
[
"what are all the competitors?",
"which ones are from china?"
] | 1 |
huang qiuyan, zhang hao
|
[
"Rank",
"Name",
"Nationality",
"Result",
"Notes"
] |
which ones are from china?
|
[
[
"nan",
"Huang Qiuyan",
"China",
"14.39",
"SB"
],
[
"nan",
"Anastasiya Juravleva",
"Uzbekistan",
"14.21",
"=SB"
],
[
"nan",
"Zhang Hao",
"China",
"13.63",
"nan"
],
[
"4.0",
"Wacharee Ritthiwat",
"Thailand",
"13.54",
"SB"
],
[
"5.0",
"Tatyana Bocharova",
"Kazakhstan",
"13.50",
"nan"
],
[
"6.0",
"Wang Kuo-Huei",
"Chinese Taipei",
"13.25",
"SB"
],
[
"7.0",
"Fumiyo Yoshida",
"Japan",
"13.09",
"nan"
],
[
"8.0",
"Ngew Sin Mei",
"Malaysia",
"12.93",
"nan"
],
[
"9.0",
"Manisha Dey",
"India",
"12.83",
"nan"
],
[
"10.0",
"Thitima Muangjan",
"Thailand",
"12.79",
"nan"
],
[
"11.0",
"Phan Thi Thu Lan",
"Vietnam",
"12.75",
"nan"
],
[
"12.0",
"Lo Yu-Hsin",
"Chinese Taipei",
"12.69",
"nan"
],
[
"nan",
"Elena Bobrovskaya",
"Kyrgyzstan",
"DNS",
"nan"
]
] |
[
"Huang Qiuyan",
"Zhang Hao"
] |
which ones are from china? || what are all the competitors?
|
ns-1359
|
col : rank | name | nationality | result | notes row 1 : nan | huang qiuyan | china | 14.39 | sb row 2 : nan | anastasiya juravleva | uzbekistan | 14.21 | =sb row 3 : nan | zhang hao | china | 13.63 | nan row 4 : 4.0 | wacharee ritthiwat | thailand | 13.54 | sb row 5 : 5.0 | tatyana bocharova | kazakhstan | 13.50 | nan row 6 : 6.0 | wang kuo-huei | chinese taipei | 13.25 | sb row 7 : 7.0 | fumiyo yoshida | japan | 13.09 | nan row 8 : 8.0 | ngew sin mei | malaysia | 12.93 | nan row 9 : 9.0 | manisha dey | india | 12.83 | nan row 10 : 10.0 | thitima muangjan | thailand | 12.79 | nan row 11 : 11.0 | phan thi thu lan | vietnam | 12.75 | nan row 12 : 12.0 | lo yu-hsin | chinese taipei | 12.69 | nan row 13 : nan | elena bobrovskaya | kyrgyzstan | dns | nan
|
table_csv/204_910.csv
| 2 |
{
"column_index": [
1
],
"row_index": [
0
]
}
|
[
"what are all the competitors?",
"which ones are from china?",
"of those, which ranked 1st in the event?"
] | 1 |
huang qiuyan
|
[
"Rank",
"Name",
"Nationality",
"Result",
"Notes"
] |
of those, which ranked 1st in the event?
|
[
[
"nan",
"Huang Qiuyan",
"China",
"14.39",
"SB"
],
[
"nan",
"Anastasiya Juravleva",
"Uzbekistan",
"14.21",
"=SB"
],
[
"nan",
"Zhang Hao",
"China",
"13.63",
"nan"
],
[
"4.0",
"Wacharee Ritthiwat",
"Thailand",
"13.54",
"SB"
],
[
"5.0",
"Tatyana Bocharova",
"Kazakhstan",
"13.50",
"nan"
],
[
"6.0",
"Wang Kuo-Huei",
"Chinese Taipei",
"13.25",
"SB"
],
[
"7.0",
"Fumiyo Yoshida",
"Japan",
"13.09",
"nan"
],
[
"8.0",
"Ngew Sin Mei",
"Malaysia",
"12.93",
"nan"
],
[
"9.0",
"Manisha Dey",
"India",
"12.83",
"nan"
],
[
"10.0",
"Thitima Muangjan",
"Thailand",
"12.79",
"nan"
],
[
"11.0",
"Phan Thi Thu Lan",
"Vietnam",
"12.75",
"nan"
],
[
"12.0",
"Lo Yu-Hsin",
"Chinese Taipei",
"12.69",
"nan"
],
[
"nan",
"Elena Bobrovskaya",
"Kyrgyzstan",
"DNS",
"nan"
]
] |
[
"Huang Qiuyan"
] |
of those, which ranked 1st in the event? || which ones are from china? | what are all the competitors?
|
ns-1359
|
col : rank | name | nationality | result | notes row 1 : nan | huang qiuyan | china | 14.39 | sb row 2 : nan | anastasiya juravleva | uzbekistan | 14.21 | =sb row 3 : nan | zhang hao | china | 13.63 | nan row 4 : 4.0 | wacharee ritthiwat | thailand | 13.54 | sb row 5 : 5.0 | tatyana bocharova | kazakhstan | 13.50 | nan row 6 : 6.0 | wang kuo-huei | chinese taipei | 13.25 | sb row 7 : 7.0 | fumiyo yoshida | japan | 13.09 | nan row 8 : 8.0 | ngew sin mei | malaysia | 12.93 | nan row 9 : 9.0 | manisha dey | india | 12.83 | nan row 10 : 10.0 | thitima muangjan | thailand | 12.79 | nan row 11 : 11.0 | phan thi thu lan | vietnam | 12.75 | nan row 12 : 12.0 | lo yu-hsin | chinese taipei | 12.69 | nan row 13 : nan | elena bobrovskaya | kyrgyzstan | dns | nan
|
table_csv/204_910.csv
| 0 |
{
"column_index": [
0,
1,
2,
3,
4
],
"row_index": [
0,
0,
0,
0,
0
]
}
|
[
"what is the row of the top ranked in the competition?"
] | 2 |
, huang qiuyan, china, 14.39, sb
|
[
"Rank",
"Name",
"Nationality",
"Result",
"Notes"
] |
what is the row of the top ranked in the competition?
|
[
[
"nan",
"Huang Qiuyan",
"China",
"14.39",
"SB"
],
[
"nan",
"Anastasiya Juravleva",
"Uzbekistan",
"14.21",
"=SB"
],
[
"nan",
"Zhang Hao",
"China",
"13.63",
"nan"
],
[
"4.0",
"Wacharee Ritthiwat",
"Thailand",
"13.54",
"SB"
],
[
"5.0",
"Tatyana Bocharova",
"Kazakhstan",
"13.50",
"nan"
],
[
"6.0",
"Wang Kuo-Huei",
"Chinese Taipei",
"13.25",
"SB"
],
[
"7.0",
"Fumiyo Yoshida",
"Japan",
"13.09",
"nan"
],
[
"8.0",
"Ngew Sin Mei",
"Malaysia",
"12.93",
"nan"
],
[
"9.0",
"Manisha Dey",
"India",
"12.83",
"nan"
],
[
"10.0",
"Thitima Muangjan",
"Thailand",
"12.79",
"nan"
],
[
"11.0",
"Phan Thi Thu Lan",
"Vietnam",
"12.75",
"nan"
],
[
"12.0",
"Lo Yu-Hsin",
"Chinese Taipei",
"12.69",
"nan"
],
[
"nan",
"Elena Bobrovskaya",
"Kyrgyzstan",
"DNS",
"nan"
]
] |
[
"",
"Huang Qiuyan",
"China",
"14.39",
"SB"
] |
what is the row of the top ranked in the competition? ||
|
ns-1359
|
col : rank | name | nationality | result | notes row 1 : nan | huang qiuyan | china | 14.39 | sb row 2 : nan | anastasiya juravleva | uzbekistan | 14.21 | =sb row 3 : nan | zhang hao | china | 13.63 | nan row 4 : 4.0 | wacharee ritthiwat | thailand | 13.54 | sb row 5 : 5.0 | tatyana bocharova | kazakhstan | 13.50 | nan row 6 : 6.0 | wang kuo-huei | chinese taipei | 13.25 | sb row 7 : 7.0 | fumiyo yoshida | japan | 13.09 | nan row 8 : 8.0 | ngew sin mei | malaysia | 12.93 | nan row 9 : 9.0 | manisha dey | india | 12.83 | nan row 10 : 10.0 | thitima muangjan | thailand | 12.79 | nan row 11 : 11.0 | phan thi thu lan | vietnam | 12.75 | nan row 12 : 12.0 | lo yu-hsin | chinese taipei | 12.69 | nan row 13 : nan | elena bobrovskaya | kyrgyzstan | dns | nan
|
table_csv/204_910.csv
| 1 |
{
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1
],
"row_index": [
0
]
}
|
[
"what is the row of the top ranked in the competition?",
"what is the name of the athlete listed in this row?"
] | 2 |
huang qiuyan
|
[
"Rank",
"Name",
"Nationality",
"Result",
"Notes"
] |
what is the name of the athlete listed in this row?
|
[
[
"nan",
"Huang Qiuyan",
"China",
"14.39",
"SB"
],
[
"nan",
"Anastasiya Juravleva",
"Uzbekistan",
"14.21",
"=SB"
],
[
"nan",
"Zhang Hao",
"China",
"13.63",
"nan"
],
[
"4.0",
"Wacharee Ritthiwat",
"Thailand",
"13.54",
"SB"
],
[
"5.0",
"Tatyana Bocharova",
"Kazakhstan",
"13.50",
"nan"
],
[
"6.0",
"Wang Kuo-Huei",
"Chinese Taipei",
"13.25",
"SB"
],
[
"7.0",
"Fumiyo Yoshida",
"Japan",
"13.09",
"nan"
],
[
"8.0",
"Ngew Sin Mei",
"Malaysia",
"12.93",
"nan"
],
[
"9.0",
"Manisha Dey",
"India",
"12.83",
"nan"
],
[
"10.0",
"Thitima Muangjan",
"Thailand",
"12.79",
"nan"
],
[
"11.0",
"Phan Thi Thu Lan",
"Vietnam",
"12.75",
"nan"
],
[
"12.0",
"Lo Yu-Hsin",
"Chinese Taipei",
"12.69",
"nan"
],
[
"nan",
"Elena Bobrovskaya",
"Kyrgyzstan",
"DNS",
"nan"
]
] |
[
"Huang Qiuyan"
] |
what is the name of the athlete listed in this row? || what is the row of the top ranked in the competition?
|
nt-3931
|
col : year | best | location | date | world rank row 1 : 2012 | 27:02.59 | birmingham | 22 june | 3rd row 2 : 2011 | 26:43.16 | brussels | 16 september | 1st row 3 : 2009 | 26:46.31 | berlin | 17 august | 1st row 4 : 2008 | 26:25.97 | eugene, oregon | 8 june | 1st row 5 : 2007 | 26:46.19 | brussels | 14 september | 1st row 6 : 2005 | 26:17.53 | brussels | 26 august | 1st row 7 : 2004 | 26:20.31 | ostrava | 8 june | 1st row 8 : 2003 | 26:49.57 | paris | 25 august | 4th
|
table_csv/204_576.csv
| 0 |
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|
[
"what are all the positions?"
] | 0 |
birmingham, brussels, berlin, eugene, oregon, brussels, brussels, ostrava, paris
|
[
"Year",
"Best",
"Location",
"Date",
"World rank"
] |
what are all the positions?
|
[
[
"2012",
"27:02.59",
"Birmingham",
"22 June",
"3rd"
],
[
"2011",
"26:43.16",
"Brussels",
"16 September",
"1st"
],
[
"2009",
"26:46.31",
"Berlin",
"17 August",
"1st"
],
[
"2008",
"26:25.97",
"Eugene, Oregon",
"8 June",
"1st"
],
[
"2007",
"26:46.19",
"Brussels",
"14 September",
"1st"
],
[
"2005",
"26:17.53",
"Brussels",
"26 August",
"1st"
],
[
"2004",
"26:20.31",
"Ostrava",
"8 June",
"1st"
],
[
"2003",
"26:49.57",
"Paris",
"25 August",
"4th"
]
] |
[
"Birmingham",
"Brussels",
"Berlin",
"Eugene, Oregon",
"Brussels",
"Brussels",
"Ostrava",
"Paris"
] |
what are all the positions? ||
|
nt-3931
|
col : year | best | location | date | world rank row 1 : 2012 | 27:02.59 | birmingham | 22 june | 3rd row 2 : 2011 | 26:43.16 | brussels | 16 september | 1st row 3 : 2009 | 26:46.31 | berlin | 17 august | 1st row 4 : 2008 | 26:25.97 | eugene, oregon | 8 june | 1st row 5 : 2007 | 26:46.19 | brussels | 14 september | 1st row 6 : 2005 | 26:17.53 | brussels | 26 august | 1st row 7 : 2004 | 26:20.31 | ostrava | 8 june | 1st row 8 : 2003 | 26:49.57 | paris | 25 august | 4th
|
table_csv/204_576.csv
| 1 |
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|
[
"what are all the positions?",
"what were their best times?"
] | 0 |
27:02.59, 26:43.16, 26:46.31, 26:25.97, 26:46.19, 26:17.53, 26:20.31, 26:49.57
|
[
"Year",
"Best",
"Location",
"Date",
"World rank"
] |
what were their best times?
|
[
[
"2012",
"27:02.59",
"Birmingham",
"22 June",
"3rd"
],
[
"2011",
"26:43.16",
"Brussels",
"16 September",
"1st"
],
[
"2009",
"26:46.31",
"Berlin",
"17 August",
"1st"
],
[
"2008",
"26:25.97",
"Eugene, Oregon",
"8 June",
"1st"
],
[
"2007",
"26:46.19",
"Brussels",
"14 September",
"1st"
],
[
"2005",
"26:17.53",
"Brussels",
"26 August",
"1st"
],
[
"2004",
"26:20.31",
"Ostrava",
"8 June",
"1st"
],
[
"2003",
"26:49.57",
"Paris",
"25 August",
"4th"
]
] |
[
"27:02.59",
"26:43.16",
"26:46.31",
"26:25.97",
"26:46.19",
"26:17.53",
"26:20.31",
"26:49.57"
] |
what were their best times? || what are all the positions?
|
nt-3931
|
col : year | best | location | date | world rank row 1 : 2012 | 27:02.59 | birmingham | 22 june | 3rd row 2 : 2011 | 26:43.16 | brussels | 16 september | 1st row 3 : 2009 | 26:46.31 | berlin | 17 august | 1st row 4 : 2008 | 26:25.97 | eugene, oregon | 8 june | 1st row 5 : 2007 | 26:46.19 | brussels | 14 september | 1st row 6 : 2005 | 26:17.53 | brussels | 26 august | 1st row 7 : 2004 | 26:20.31 | ostrava | 8 june | 1st row 8 : 2003 | 26:49.57 | paris | 25 august | 4th
|
table_csv/204_576.csv
| 2 |
{
"column_index": [
2
],
"row_index": [
6
]
}
|
[
"what are all the positions?",
"what were their best times?",
"which nation came directly behind brussels?"
] | 0 |
ostrava
|
[
"Year",
"Best",
"Location",
"Date",
"World rank"
] |
which nation came directly behind brussels?
|
[
[
"2012",
"27:02.59",
"Birmingham",
"22 June",
"3rd"
],
[
"2011",
"26:43.16",
"Brussels",
"16 September",
"1st"
],
[
"2009",
"26:46.31",
"Berlin",
"17 August",
"1st"
],
[
"2008",
"26:25.97",
"Eugene, Oregon",
"8 June",
"1st"
],
[
"2007",
"26:46.19",
"Brussels",
"14 September",
"1st"
],
[
"2005",
"26:17.53",
"Brussels",
"26 August",
"1st"
],
[
"2004",
"26:20.31",
"Ostrava",
"8 June",
"1st"
],
[
"2003",
"26:49.57",
"Paris",
"25 August",
"4th"
]
] |
[
"Ostrava"
] |
which nation came directly behind brussels? || what were their best times? | what are all the positions?
|
nt-3931
|
col : year | best | location | date | world rank row 1 : 2012 | 27:02.59 | birmingham | 22 june | 3rd row 2 : 2011 | 26:43.16 | brussels | 16 september | 1st row 3 : 2009 | 26:46.31 | berlin | 17 august | 1st row 4 : 2008 | 26:25.97 | eugene, oregon | 8 june | 1st row 5 : 2007 | 26:46.19 | brussels | 14 september | 1st row 6 : 2005 | 26:17.53 | brussels | 26 august | 1st row 7 : 2004 | 26:20.31 | ostrava | 8 june | 1st row 8 : 2003 | 26:49.57 | paris | 25 august | 4th
|
table_csv/204_576.csv
| 0 |
{
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1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
}
|
[
"what are the best times of kenenisa bekele?"
] | 1 |
27:02.59, 26:43.16, 26:46.31, 26:25.97, 26:46.19, 26:17.53, 26:20.31, 26:49.57
|
[
"Year",
"Best",
"Location",
"Date",
"World rank"
] |
what are the best times of kenenisa bekele?
|
[
[
"2012",
"27:02.59",
"Birmingham",
"22 June",
"3rd"
],
[
"2011",
"26:43.16",
"Brussels",
"16 September",
"1st"
],
[
"2009",
"26:46.31",
"Berlin",
"17 August",
"1st"
],
[
"2008",
"26:25.97",
"Eugene, Oregon",
"8 June",
"1st"
],
[
"2007",
"26:46.19",
"Brussels",
"14 September",
"1st"
],
[
"2005",
"26:17.53",
"Brussels",
"26 August",
"1st"
],
[
"2004",
"26:20.31",
"Ostrava",
"8 June",
"1st"
],
[
"2003",
"26:49.57",
"Paris",
"25 August",
"4th"
]
] |
[
"27:02.59",
"26:43.16",
"26:46.31",
"26:25.97",
"26:46.19",
"26:17.53",
"26:20.31",
"26:49.57"
] |
what are the best times of kenenisa bekele? ||
|
nt-3931
|
col : year | best | location | date | world rank row 1 : 2012 | 27:02.59 | birmingham | 22 june | 3rd row 2 : 2011 | 26:43.16 | brussels | 16 september | 1st row 3 : 2009 | 26:46.31 | berlin | 17 august | 1st row 4 : 2008 | 26:25.97 | eugene, oregon | 8 june | 1st row 5 : 2007 | 26:46.19 | brussels | 14 september | 1st row 6 : 2005 | 26:17.53 | brussels | 26 august | 1st row 7 : 2004 | 26:20.31 | ostrava | 8 june | 1st row 8 : 2003 | 26:49.57 | paris | 25 august | 4th
|
table_csv/204_576.csv
| 1 |
{
"column_index": [
1
],
"row_index": [
6
]
}
|
[
"what are the best times of kenenisa bekele?",
"what is the second highest time?"
] | 1 |
26:20.31
|
[
"Year",
"Best",
"Location",
"Date",
"World rank"
] |
what is the second highest time?
|
[
[
"2012",
"27:02.59",
"Birmingham",
"22 June",
"3rd"
],
[
"2011",
"26:43.16",
"Brussels",
"16 September",
"1st"
],
[
"2009",
"26:46.31",
"Berlin",
"17 August",
"1st"
],
[
"2008",
"26:25.97",
"Eugene, Oregon",
"8 June",
"1st"
],
[
"2007",
"26:46.19",
"Brussels",
"14 September",
"1st"
],
[
"2005",
"26:17.53",
"Brussels",
"26 August",
"1st"
],
[
"2004",
"26:20.31",
"Ostrava",
"8 June",
"1st"
],
[
"2003",
"26:49.57",
"Paris",
"25 August",
"4th"
]
] |
[
"26:20.31"
] |
what is the second highest time? || what are the best times of kenenisa bekele?
|
nt-3931
|
col : year | best | location | date | world rank row 1 : 2012 | 27:02.59 | birmingham | 22 june | 3rd row 2 : 2011 | 26:43.16 | brussels | 16 september | 1st row 3 : 2009 | 26:46.31 | berlin | 17 august | 1st row 4 : 2008 | 26:25.97 | eugene, oregon | 8 june | 1st row 5 : 2007 | 26:46.19 | brussels | 14 september | 1st row 6 : 2005 | 26:17.53 | brussels | 26 august | 1st row 7 : 2004 | 26:20.31 | ostrava | 8 june | 1st row 8 : 2003 | 26:49.57 | paris | 25 august | 4th
|
table_csv/204_576.csv
| 2 |
{
"column_index": [
2
],
"row_index": [
6
]
}
|
[
"what are the best times of kenenisa bekele?",
"what is the second highest time?",
"what country had this time?"
] | 1 |
ostrava
|
[
"Year",
"Best",
"Location",
"Date",
"World rank"
] |
what country had this time?
|
[
[
"2012",
"27:02.59",
"Birmingham",
"22 June",
"3rd"
],
[
"2011",
"26:43.16",
"Brussels",
"16 September",
"1st"
],
[
"2009",
"26:46.31",
"Berlin",
"17 August",
"1st"
],
[
"2008",
"26:25.97",
"Eugene, Oregon",
"8 June",
"1st"
],
[
"2007",
"26:46.19",
"Brussels",
"14 September",
"1st"
],
[
"2005",
"26:17.53",
"Brussels",
"26 August",
"1st"
],
[
"2004",
"26:20.31",
"Ostrava",
"8 June",
"1st"
],
[
"2003",
"26:49.57",
"Paris",
"25 August",
"4th"
]
] |
[
"Ostrava"
] |
what country had this time? || what is the second highest time? | what are the best times of kenenisa bekele?
|
nt-3931
|
col : year | best | location | date | world rank row 1 : 2012 | 27:02.59 | birmingham | 22 june | 3rd row 2 : 2011 | 26:43.16 | brussels | 16 september | 1st row 3 : 2009 | 26:46.31 | berlin | 17 august | 1st row 4 : 2008 | 26:25.97 | eugene, oregon | 8 june | 1st row 5 : 2007 | 26:46.19 | brussels | 14 september | 1st row 6 : 2005 | 26:17.53 | brussels | 26 august | 1st row 7 : 2004 | 26:20.31 | ostrava | 8 june | 1st row 8 : 2003 | 26:49.57 | paris | 25 august | 4th
|
table_csv/204_576.csv
| 0 |
{
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
}
|
[
"what are the best times"
] | 2 |
27:02.59, 26:43.16, 26:46.31, 26:25.97, 26:46.19, 26:17.53, 26:20.31, 26:49.57
|
[
"Year",
"Best",
"Location",
"Date",
"World rank"
] |
what are the best times
|
[
[
"2012",
"27:02.59",
"Birmingham",
"22 June",
"3rd"
],
[
"2011",
"26:43.16",
"Brussels",
"16 September",
"1st"
],
[
"2009",
"26:46.31",
"Berlin",
"17 August",
"1st"
],
[
"2008",
"26:25.97",
"Eugene, Oregon",
"8 June",
"1st"
],
[
"2007",
"26:46.19",
"Brussels",
"14 September",
"1st"
],
[
"2005",
"26:17.53",
"Brussels",
"26 August",
"1st"
],
[
"2004",
"26:20.31",
"Ostrava",
"8 June",
"1st"
],
[
"2003",
"26:49.57",
"Paris",
"25 August",
"4th"
]
] |
[
"27:02.59",
"26:43.16",
"26:46.31",
"26:25.97",
"26:46.19",
"26:17.53",
"26:20.31",
"26:49.57"
] |
what are the best times ||
|
nt-3931
|
col : year | best | location | date | world rank row 1 : 2012 | 27:02.59 | birmingham | 22 june | 3rd row 2 : 2011 | 26:43.16 | brussels | 16 september | 1st row 3 : 2009 | 26:46.31 | berlin | 17 august | 1st row 4 : 2008 | 26:25.97 | eugene, oregon | 8 june | 1st row 5 : 2007 | 26:46.19 | brussels | 14 september | 1st row 6 : 2005 | 26:17.53 | brussels | 26 august | 1st row 7 : 2004 | 26:20.31 | ostrava | 8 june | 1st row 8 : 2003 | 26:49.57 | paris | 25 august | 4th
|
table_csv/204_576.csv
| 1 |
{
"column_index": [
1
],
"row_index": [
5
]
}
|
[
"what are the best times",
"out of those which one is the best time?"
] | 2 |
26:17.53
|
[
"Year",
"Best",
"Location",
"Date",
"World rank"
] |
out of those which one is the best time?
|
[
[
"2012",
"27:02.59",
"Birmingham",
"22 June",
"3rd"
],
[
"2011",
"26:43.16",
"Brussels",
"16 September",
"1st"
],
[
"2009",
"26:46.31",
"Berlin",
"17 August",
"1st"
],
[
"2008",
"26:25.97",
"Eugene, Oregon",
"8 June",
"1st"
],
[
"2007",
"26:46.19",
"Brussels",
"14 September",
"1st"
],
[
"2005",
"26:17.53",
"Brussels",
"26 August",
"1st"
],
[
"2004",
"26:20.31",
"Ostrava",
"8 June",
"1st"
],
[
"2003",
"26:49.57",
"Paris",
"25 August",
"4th"
]
] |
[
"26:17.53"
] |
out of those which one is the best time? || what are the best times
|
nt-3931
|
col : year | best | location | date | world rank row 1 : 2012 | 27:02.59 | birmingham | 22 june | 3rd row 2 : 2011 | 26:43.16 | brussels | 16 september | 1st row 3 : 2009 | 26:46.31 | berlin | 17 august | 1st row 4 : 2008 | 26:25.97 | eugene, oregon | 8 june | 1st row 5 : 2007 | 26:46.19 | brussels | 14 september | 1st row 6 : 2005 | 26:17.53 | brussels | 26 august | 1st row 7 : 2004 | 26:20.31 | ostrava | 8 june | 1st row 8 : 2003 | 26:49.57 | paris | 25 august | 4th
|
table_csv/204_576.csv
| 2 |
{
"column_index": [
2
],
"row_index": [
5
]
}
|
[
"what are the best times",
"out of those which one is the best time?",
"what country has that time?"
] | 2 |
brussels
|
[
"Year",
"Best",
"Location",
"Date",
"World rank"
] |
what country has that time?
|
[
[
"2012",
"27:02.59",
"Birmingham",
"22 June",
"3rd"
],
[
"2011",
"26:43.16",
"Brussels",
"16 September",
"1st"
],
[
"2009",
"26:46.31",
"Berlin",
"17 August",
"1st"
],
[
"2008",
"26:25.97",
"Eugene, Oregon",
"8 June",
"1st"
],
[
"2007",
"26:46.19",
"Brussels",
"14 September",
"1st"
],
[
"2005",
"26:17.53",
"Brussels",
"26 August",
"1st"
],
[
"2004",
"26:20.31",
"Ostrava",
"8 June",
"1st"
],
[
"2003",
"26:49.57",
"Paris",
"25 August",
"4th"
]
] |
[
"Brussels"
] |
what country has that time? || out of those which one is the best time? | what are the best times
|
nt-3931
|
col : year | best | location | date | world rank row 1 : 2012 | 27:02.59 | birmingham | 22 june | 3rd row 2 : 2011 | 26:43.16 | brussels | 16 september | 1st row 3 : 2009 | 26:46.31 | berlin | 17 august | 1st row 4 : 2008 | 26:25.97 | eugene, oregon | 8 june | 1st row 5 : 2007 | 26:46.19 | brussels | 14 september | 1st row 6 : 2005 | 26:17.53 | brussels | 26 august | 1st row 7 : 2004 | 26:20.31 | ostrava | 8 june | 1st row 8 : 2003 | 26:49.57 | paris | 25 august | 4th
|
table_csv/204_576.csv
| 3 |
{
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1
],
"row_index": [
6
]
}
|
[
"what are the best times",
"out of those which one is the best time?",
"what country has that time?",
"excluding brussel's time, what is the second best time?"
] | 2 |
26:20.31
|
[
"Year",
"Best",
"Location",
"Date",
"World rank"
] |
excluding brussel's time, what is the second best time?
|
[
[
"2012",
"27:02.59",
"Birmingham",
"22 June",
"3rd"
],
[
"2011",
"26:43.16",
"Brussels",
"16 September",
"1st"
],
[
"2009",
"26:46.31",
"Berlin",
"17 August",
"1st"
],
[
"2008",
"26:25.97",
"Eugene, Oregon",
"8 June",
"1st"
],
[
"2007",
"26:46.19",
"Brussels",
"14 September",
"1st"
],
[
"2005",
"26:17.53",
"Brussels",
"26 August",
"1st"
],
[
"2004",
"26:20.31",
"Ostrava",
"8 June",
"1st"
],
[
"2003",
"26:49.57",
"Paris",
"25 August",
"4th"
]
] |
[
"26:20.31"
] |
excluding brussel's time, what is the second best time? || what country has that time? | out of those which one is the best time? | what are the best times
|
nt-3931
|
col : year | best | location | date | world rank row 1 : 2012 | 27:02.59 | birmingham | 22 june | 3rd row 2 : 2011 | 26:43.16 | brussels | 16 september | 1st row 3 : 2009 | 26:46.31 | berlin | 17 august | 1st row 4 : 2008 | 26:25.97 | eugene, oregon | 8 june | 1st row 5 : 2007 | 26:46.19 | brussels | 14 september | 1st row 6 : 2005 | 26:17.53 | brussels | 26 august | 1st row 7 : 2004 | 26:20.31 | ostrava | 8 june | 1st row 8 : 2003 | 26:49.57 | paris | 25 august | 4th
|
table_csv/204_576.csv
| 4 |
{
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2
],
"row_index": [
6
]
}
|
[
"what are the best times",
"out of those which one is the best time?",
"what country has that time?",
"excluding brussel's time, what is the second best time?",
"what country has that time?"
] | 2 |
ostrava
|
[
"Year",
"Best",
"Location",
"Date",
"World rank"
] |
what country has that time?
|
[
[
"2012",
"27:02.59",
"Birmingham",
"22 June",
"3rd"
],
[
"2011",
"26:43.16",
"Brussels",
"16 September",
"1st"
],
[
"2009",
"26:46.31",
"Berlin",
"17 August",
"1st"
],
[
"2008",
"26:25.97",
"Eugene, Oregon",
"8 June",
"1st"
],
[
"2007",
"26:46.19",
"Brussels",
"14 September",
"1st"
],
[
"2005",
"26:17.53",
"Brussels",
"26 August",
"1st"
],
[
"2004",
"26:20.31",
"Ostrava",
"8 June",
"1st"
],
[
"2003",
"26:49.57",
"Paris",
"25 August",
"4th"
]
] |
[
"Ostrava"
] |
what country has that time? || excluding brussel's time, what is the second best time? | what country has that time? | out of those which one is the best time? | what are the best times
|
nt-3938
|
col : finalist | age | from | dress colour | status row 1 : laura sicurello | 26 | milton keynes | yellow | eliminated 1st in week 1 row 2 : belinda evans | 28 | somerset | dark blue | eliminated 2nd in week 2 row 3 : meliz serman | 23 | chingford, london | gold | eliminated 3rd in week 3 row 4 : simona armstrong | 28 | romania | purple | eliminated 4th in week 4 row 5 : leanne dobinson | 20 | colchester | lilac | eliminated 5th in week 4 row 6 : abi finley | 23 | manchester | light blue | eliminated 6th in week 5 row 7 : aoife mulholland | 28 | salthill | green | eliminated 7th in week 5 row 8 : siobhan dillon | 21 | staffordshire | red | third place row 9 : helena blackman | 23 | southampton | pink | second place row 10 : connie fisher | 23 | pembrokeshire | orange | winner
|
table_csv/203_129.csv
| 0 |
{
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0,
0,
0,
0,
0,
0
],
"row_index": [
2,
4,
5,
7,
8,
9
]
}
|
[
"which contestants were under 25 years of age?"
] | 0 |
meliz serman, leanne dobinson, abi finley, siobhan dillon, helena blackman, connie fisher
|
[
"Finalist",
"Age",
"From",
"Dress colour",
"Status"
] |
which contestants were under 25 years of age?
|
[
[
"Laura Sicurello",
"26",
"Milton Keynes",
"Yellow",
"Eliminated 1st in week 1"
],
[
"Belinda Evans",
"28",
"Somerset",
"Dark blue",
"Eliminated 2nd in week 2"
],
[
"Meliz Serman",
"23",
"Chingford, London",
"Gold",
"Eliminated 3rd in week 3"
],
[
"Simona Armstrong",
"28",
"Romania",
"Purple",
"Eliminated 4th in week 4"
],
[
"Leanne Dobinson",
"20",
"Colchester",
"Lilac",
"Eliminated 5th in week 4"
],
[
"Abi Finley",
"23",
"Manchester",
"Light blue",
"Eliminated 6th in week 5"
],
[
"Aoife Mulholland",
"28",
"Salthill",
"Green",
"Eliminated 7th in week 5"
],
[
"Siobhan Dillon",
"21",
"Staffordshire",
"Red",
"Third place"
],
[
"Helena Blackman",
"23",
"Southampton",
"Pink",
"Second place"
],
[
"Connie Fisher",
"23",
"Pembrokeshire",
"Orange",
"Winner"
]
] |
[
"Meliz Serman",
"Leanne Dobinson",
"Abi Finley",
"Siobhan Dillon",
"Helena Blackman",
"Connie Fisher"
] |
which contestants were under 25 years of age? ||
|
nt-3938
|
col : finalist | age | from | dress colour | status row 1 : laura sicurello | 26 | milton keynes | yellow | eliminated 1st in week 1 row 2 : belinda evans | 28 | somerset | dark blue | eliminated 2nd in week 2 row 3 : meliz serman | 23 | chingford, london | gold | eliminated 3rd in week 3 row 4 : simona armstrong | 28 | romania | purple | eliminated 4th in week 4 row 5 : leanne dobinson | 20 | colchester | lilac | eliminated 5th in week 4 row 6 : abi finley | 23 | manchester | light blue | eliminated 6th in week 5 row 7 : aoife mulholland | 28 | salthill | green | eliminated 7th in week 5 row 8 : siobhan dillon | 21 | staffordshire | red | third place row 9 : helena blackman | 23 | southampton | pink | second place row 10 : connie fisher | 23 | pembrokeshire | orange | winner
|
table_csv/203_129.csv
| 1 |
{
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0,
0
],
"row_index": [
2,
4
]
}
|
[
"which contestants were under 25 years of age?",
"of those, which ones were eliminated prior to week 5?"
] | 0 |
meliz serman, leanne dobinson
|
[
"Finalist",
"Age",
"From",
"Dress colour",
"Status"
] |
of those, which ones were eliminated prior to week 5?
|
[
[
"Laura Sicurello",
"26",
"Milton Keynes",
"Yellow",
"Eliminated 1st in week 1"
],
[
"Belinda Evans",
"28",
"Somerset",
"Dark blue",
"Eliminated 2nd in week 2"
],
[
"Meliz Serman",
"23",
"Chingford, London",
"Gold",
"Eliminated 3rd in week 3"
],
[
"Simona Armstrong",
"28",
"Romania",
"Purple",
"Eliminated 4th in week 4"
],
[
"Leanne Dobinson",
"20",
"Colchester",
"Lilac",
"Eliminated 5th in week 4"
],
[
"Abi Finley",
"23",
"Manchester",
"Light blue",
"Eliminated 6th in week 5"
],
[
"Aoife Mulholland",
"28",
"Salthill",
"Green",
"Eliminated 7th in week 5"
],
[
"Siobhan Dillon",
"21",
"Staffordshire",
"Red",
"Third place"
],
[
"Helena Blackman",
"23",
"Southampton",
"Pink",
"Second place"
],
[
"Connie Fisher",
"23",
"Pembrokeshire",
"Orange",
"Winner"
]
] |
[
"Meliz Serman",
"Leanne Dobinson"
] |
of those, which ones were eliminated prior to week 5? || which contestants were under 25 years of age?
|
nt-3938
|
col : finalist | age | from | dress colour | status row 1 : laura sicurello | 26 | milton keynes | yellow | eliminated 1st in week 1 row 2 : belinda evans | 28 | somerset | dark blue | eliminated 2nd in week 2 row 3 : meliz serman | 23 | chingford, london | gold | eliminated 3rd in week 3 row 4 : simona armstrong | 28 | romania | purple | eliminated 4th in week 4 row 5 : leanne dobinson | 20 | colchester | lilac | eliminated 5th in week 4 row 6 : abi finley | 23 | manchester | light blue | eliminated 6th in week 5 row 7 : aoife mulholland | 28 | salthill | green | eliminated 7th in week 5 row 8 : siobhan dillon | 21 | staffordshire | red | third place row 9 : helena blackman | 23 | southampton | pink | second place row 10 : connie fisher | 23 | pembrokeshire | orange | winner
|
table_csv/203_129.csv
| 2 |
{
"column_index": [
0
],
"row_index": [
4
]
}
|
[
"which contestants were under 25 years of age?",
"of those, which ones were eliminated prior to week 5?",
"which of those finalists was younger?"
] | 0 |
leanne dobinson
|
[
"Finalist",
"Age",
"From",
"Dress colour",
"Status"
] |
which of those finalists was younger?
|
[
[
"Laura Sicurello",
"26",
"Milton Keynes",
"Yellow",
"Eliminated 1st in week 1"
],
[
"Belinda Evans",
"28",
"Somerset",
"Dark blue",
"Eliminated 2nd in week 2"
],
[
"Meliz Serman",
"23",
"Chingford, London",
"Gold",
"Eliminated 3rd in week 3"
],
[
"Simona Armstrong",
"28",
"Romania",
"Purple",
"Eliminated 4th in week 4"
],
[
"Leanne Dobinson",
"20",
"Colchester",
"Lilac",
"Eliminated 5th in week 4"
],
[
"Abi Finley",
"23",
"Manchester",
"Light blue",
"Eliminated 6th in week 5"
],
[
"Aoife Mulholland",
"28",
"Salthill",
"Green",
"Eliminated 7th in week 5"
],
[
"Siobhan Dillon",
"21",
"Staffordshire",
"Red",
"Third place"
],
[
"Helena Blackman",
"23",
"Southampton",
"Pink",
"Second place"
],
[
"Connie Fisher",
"23",
"Pembrokeshire",
"Orange",
"Winner"
]
] |
[
"Leanne Dobinson"
] |
which of those finalists was younger? || of those, which ones were eliminated prior to week 5? | which contestants were under 25 years of age?
|
nt-3938
|
col : finalist | age | from | dress colour | status row 1 : laura sicurello | 26 | milton keynes | yellow | eliminated 1st in week 1 row 2 : belinda evans | 28 | somerset | dark blue | eliminated 2nd in week 2 row 3 : meliz serman | 23 | chingford, london | gold | eliminated 3rd in week 3 row 4 : simona armstrong | 28 | romania | purple | eliminated 4th in week 4 row 5 : leanne dobinson | 20 | colchester | lilac | eliminated 5th in week 4 row 6 : abi finley | 23 | manchester | light blue | eliminated 6th in week 5 row 7 : aoife mulholland | 28 | salthill | green | eliminated 7th in week 5 row 8 : siobhan dillon | 21 | staffordshire | red | third place row 9 : helena blackman | 23 | southampton | pink | second place row 10 : connie fisher | 23 | pembrokeshire | orange | winner
|
table_csv/203_129.csv
| 0 |
{
"column_index": [
0
],
"row_index": [
3
]
}
|
[
"who is the oldest finalist"
] | 1 |
simona armstrong
|
[
"Finalist",
"Age",
"From",
"Dress colour",
"Status"
] |
who is the oldest finalist
|
[
[
"Laura Sicurello",
"26",
"Milton Keynes",
"Yellow",
"Eliminated 1st in week 1"
],
[
"Belinda Evans",
"28",
"Somerset",
"Dark blue",
"Eliminated 2nd in week 2"
],
[
"Meliz Serman",
"23",
"Chingford, London",
"Gold",
"Eliminated 3rd in week 3"
],
[
"Simona Armstrong",
"28",
"Romania",
"Purple",
"Eliminated 4th in week 4"
],
[
"Leanne Dobinson",
"20",
"Colchester",
"Lilac",
"Eliminated 5th in week 4"
],
[
"Abi Finley",
"23",
"Manchester",
"Light blue",
"Eliminated 6th in week 5"
],
[
"Aoife Mulholland",
"28",
"Salthill",
"Green",
"Eliminated 7th in week 5"
],
[
"Siobhan Dillon",
"21",
"Staffordshire",
"Red",
"Third place"
],
[
"Helena Blackman",
"23",
"Southampton",
"Pink",
"Second place"
],
[
"Connie Fisher",
"23",
"Pembrokeshire",
"Orange",
"Winner"
]
] |
[
"Simona Armstrong"
] |
who is the oldest finalist ||
|
nt-3938
|
col : finalist | age | from | dress colour | status row 1 : laura sicurello | 26 | milton keynes | yellow | eliminated 1st in week 1 row 2 : belinda evans | 28 | somerset | dark blue | eliminated 2nd in week 2 row 3 : meliz serman | 23 | chingford, london | gold | eliminated 3rd in week 3 row 4 : simona armstrong | 28 | romania | purple | eliminated 4th in week 4 row 5 : leanne dobinson | 20 | colchester | lilac | eliminated 5th in week 4 row 6 : abi finley | 23 | manchester | light blue | eliminated 6th in week 5 row 7 : aoife mulholland | 28 | salthill | green | eliminated 7th in week 5 row 8 : siobhan dillon | 21 | staffordshire | red | third place row 9 : helena blackman | 23 | southampton | pink | second place row 10 : connie fisher | 23 | pembrokeshire | orange | winner
|
table_csv/203_129.csv
| 1 |
{
"column_index": [
0
],
"row_index": [
4
]
}
|
[
"who is the oldest finalist",
"who is the youngest?"
] | 1 |
leanne dobinson
|
[
"Finalist",
"Age",
"From",
"Dress colour",
"Status"
] |
who is the youngest?
|
[
[
"Laura Sicurello",
"26",
"Milton Keynes",
"Yellow",
"Eliminated 1st in week 1"
],
[
"Belinda Evans",
"28",
"Somerset",
"Dark blue",
"Eliminated 2nd in week 2"
],
[
"Meliz Serman",
"23",
"Chingford, London",
"Gold",
"Eliminated 3rd in week 3"
],
[
"Simona Armstrong",
"28",
"Romania",
"Purple",
"Eliminated 4th in week 4"
],
[
"Leanne Dobinson",
"20",
"Colchester",
"Lilac",
"Eliminated 5th in week 4"
],
[
"Abi Finley",
"23",
"Manchester",
"Light blue",
"Eliminated 6th in week 5"
],
[
"Aoife Mulholland",
"28",
"Salthill",
"Green",
"Eliminated 7th in week 5"
],
[
"Siobhan Dillon",
"21",
"Staffordshire",
"Red",
"Third place"
],
[
"Helena Blackman",
"23",
"Southampton",
"Pink",
"Second place"
],
[
"Connie Fisher",
"23",
"Pembrokeshire",
"Orange",
"Winner"
]
] |
[
"Leanne Dobinson"
] |
who is the youngest? || who is the oldest finalist
|
nt-3938
|
col : finalist | age | from | dress colour | status row 1 : laura sicurello | 26 | milton keynes | yellow | eliminated 1st in week 1 row 2 : belinda evans | 28 | somerset | dark blue | eliminated 2nd in week 2 row 3 : meliz serman | 23 | chingford, london | gold | eliminated 3rd in week 3 row 4 : simona armstrong | 28 | romania | purple | eliminated 4th in week 4 row 5 : leanne dobinson | 20 | colchester | lilac | eliminated 5th in week 4 row 6 : abi finley | 23 | manchester | light blue | eliminated 6th in week 5 row 7 : aoife mulholland | 28 | salthill | green | eliminated 7th in week 5 row 8 : siobhan dillon | 21 | staffordshire | red | third place row 9 : helena blackman | 23 | southampton | pink | second place row 10 : connie fisher | 23 | pembrokeshire | orange | winner
|
table_csv/203_129.csv
| 0 |
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]
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|
[
"who were all of the finalists?"
] | 2 |
laura sicurello, belinda evans, meliz serman, simona armstrong, leanne dobinson, abi finley, aoife mulholland, siobhan dillon, helena blackman, connie fisher
|
[
"Finalist",
"Age",
"From",
"Dress colour",
"Status"
] |
who were all of the finalists?
|
[
[
"Laura Sicurello",
"26",
"Milton Keynes",
"Yellow",
"Eliminated 1st in week 1"
],
[
"Belinda Evans",
"28",
"Somerset",
"Dark blue",
"Eliminated 2nd in week 2"
],
[
"Meliz Serman",
"23",
"Chingford, London",
"Gold",
"Eliminated 3rd in week 3"
],
[
"Simona Armstrong",
"28",
"Romania",
"Purple",
"Eliminated 4th in week 4"
],
[
"Leanne Dobinson",
"20",
"Colchester",
"Lilac",
"Eliminated 5th in week 4"
],
[
"Abi Finley",
"23",
"Manchester",
"Light blue",
"Eliminated 6th in week 5"
],
[
"Aoife Mulholland",
"28",
"Salthill",
"Green",
"Eliminated 7th in week 5"
],
[
"Siobhan Dillon",
"21",
"Staffordshire",
"Red",
"Third place"
],
[
"Helena Blackman",
"23",
"Southampton",
"Pink",
"Second place"
],
[
"Connie Fisher",
"23",
"Pembrokeshire",
"Orange",
"Winner"
]
] |
[
"Laura Sicurello",
"Belinda Evans",
"Meliz Serman",
"Simona Armstrong",
"Leanne Dobinson",
"Abi Finley",
"Aoife Mulholland",
"Siobhan Dillon",
"Helena Blackman",
"Connie Fisher"
] |
who were all of the finalists? ||
|
nt-3938
|
col : finalist | age | from | dress colour | status row 1 : laura sicurello | 26 | milton keynes | yellow | eliminated 1st in week 1 row 2 : belinda evans | 28 | somerset | dark blue | eliminated 2nd in week 2 row 3 : meliz serman | 23 | chingford, london | gold | eliminated 3rd in week 3 row 4 : simona armstrong | 28 | romania | purple | eliminated 4th in week 4 row 5 : leanne dobinson | 20 | colchester | lilac | eliminated 5th in week 4 row 6 : abi finley | 23 | manchester | light blue | eliminated 6th in week 5 row 7 : aoife mulholland | 28 | salthill | green | eliminated 7th in week 5 row 8 : siobhan dillon | 21 | staffordshire | red | third place row 9 : helena blackman | 23 | southampton | pink | second place row 10 : connie fisher | 23 | pembrokeshire | orange | winner
|
table_csv/203_129.csv
| 1 |
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1,
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1,
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1,
1
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4,
5,
6,
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8,
9
]
}
|
[
"who were all of the finalists?",
"and how old were they?"
] | 2 |
26, 28, 23, 28, 20, 23, 28, 21, 23, 23
|
[
"Finalist",
"Age",
"From",
"Dress colour",
"Status"
] |
and how old were they?
|
[
[
"Laura Sicurello",
"26",
"Milton Keynes",
"Yellow",
"Eliminated 1st in week 1"
],
[
"Belinda Evans",
"28",
"Somerset",
"Dark blue",
"Eliminated 2nd in week 2"
],
[
"Meliz Serman",
"23",
"Chingford, London",
"Gold",
"Eliminated 3rd in week 3"
],
[
"Simona Armstrong",
"28",
"Romania",
"Purple",
"Eliminated 4th in week 4"
],
[
"Leanne Dobinson",
"20",
"Colchester",
"Lilac",
"Eliminated 5th in week 4"
],
[
"Abi Finley",
"23",
"Manchester",
"Light blue",
"Eliminated 6th in week 5"
],
[
"Aoife Mulholland",
"28",
"Salthill",
"Green",
"Eliminated 7th in week 5"
],
[
"Siobhan Dillon",
"21",
"Staffordshire",
"Red",
"Third place"
],
[
"Helena Blackman",
"23",
"Southampton",
"Pink",
"Second place"
],
[
"Connie Fisher",
"23",
"Pembrokeshire",
"Orange",
"Winner"
]
] |
[
"26",
"28",
"23",
"28",
"20",
"23",
"28",
"21",
"23",
"23"
] |
and how old were they? || who were all of the finalists?
|
nt-3938
|
col : finalist | age | from | dress colour | status row 1 : laura sicurello | 26 | milton keynes | yellow | eliminated 1st in week 1 row 2 : belinda evans | 28 | somerset | dark blue | eliminated 2nd in week 2 row 3 : meliz serman | 23 | chingford, london | gold | eliminated 3rd in week 3 row 4 : simona armstrong | 28 | romania | purple | eliminated 4th in week 4 row 5 : leanne dobinson | 20 | colchester | lilac | eliminated 5th in week 4 row 6 : abi finley | 23 | manchester | light blue | eliminated 6th in week 5 row 7 : aoife mulholland | 28 | salthill | green | eliminated 7th in week 5 row 8 : siobhan dillon | 21 | staffordshire | red | third place row 9 : helena blackman | 23 | southampton | pink | second place row 10 : connie fisher | 23 | pembrokeshire | orange | winner
|
table_csv/203_129.csv
| 2 |
{
"column_index": [
0
],
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4
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}
|
[
"who were all of the finalists?",
"and how old were they?",
"who was the youngest of all finalists?"
] | 2 |
leanne dobinson
|
[
"Finalist",
"Age",
"From",
"Dress colour",
"Status"
] |
who was the youngest of all finalists?
|
[
[
"Laura Sicurello",
"26",
"Milton Keynes",
"Yellow",
"Eliminated 1st in week 1"
],
[
"Belinda Evans",
"28",
"Somerset",
"Dark blue",
"Eliminated 2nd in week 2"
],
[
"Meliz Serman",
"23",
"Chingford, London",
"Gold",
"Eliminated 3rd in week 3"
],
[
"Simona Armstrong",
"28",
"Romania",
"Purple",
"Eliminated 4th in week 4"
],
[
"Leanne Dobinson",
"20",
"Colchester",
"Lilac",
"Eliminated 5th in week 4"
],
[
"Abi Finley",
"23",
"Manchester",
"Light blue",
"Eliminated 6th in week 5"
],
[
"Aoife Mulholland",
"28",
"Salthill",
"Green",
"Eliminated 7th in week 5"
],
[
"Siobhan Dillon",
"21",
"Staffordshire",
"Red",
"Third place"
],
[
"Helena Blackman",
"23",
"Southampton",
"Pink",
"Second place"
],
[
"Connie Fisher",
"23",
"Pembrokeshire",
"Orange",
"Winner"
]
] |
[
"Leanne Dobinson"
] |
who was the youngest of all finalists? || and how old were they? | who were all of the finalists?
|
ns-1684
|
col : pos | no | rider | bike | laps | time | grid | points row 1 : 1 | 21 | troy bayliss | ducati 999 f07 | 22 | 34:11.276 | 1 | 25.0 row 2 : 2 | 52 | james toseland | honda cbr1000rr | 22 | +2.096 | 2 | 20.0 row 3 : 3 | 3 | max biaggi | suzuki gsx-r1000 k7 | 22 | +10.143 | 5 | 16.0 row 4 : 4 | 41 | noriyuki haga | yamaha yzf-r1 | 22 | +18.923 | 4 | 13.0 row 5 : 5 | 11 | troy corser | yamaha yzf-r1 | 22 | +19.742 | 3 | 11.0 row 6 : 6 | 57 | lorenzo lanzi | ducati 999 f07 | 22 | +24.765 | 10 | 10.0 row 7 : 7 | 111 | ruben xaus | ducati 999 f06 | 22 | +27.404 | 8 | 9.0 row 8 : 8 | 76 | max neukirchner | suzuki gsx-r1000 k6 | 22 | +34.614 | 7 | 8.0 row 9 : 9 | 10 | fonsi nieto | kawasaki zx-10r | 22 | +35.339 | 6 | 7.0 row 10 : 10 | 99 | steve martin | honda cbr1000rr | 22 | +36.238 | 11 | 6.0 row 11 : 11 | 44 | roberto rolfo | honda cbr1000rr | 22 | +38.067 | 15 | 5.0 row 12 : 12 | 25 | josh brookes | honda cbr1000rr | 22 | +47.078 | 12 | 4.0 row 13 : 13 | 38 | shinichi nakatomi | yamaha yzf-r1 | 22 | +58.571 | 17 | 3.0 row 14 : 14 | 96 | jakub smrz | ducati 999 f05 | 22 | +1:08.000 | 14 | 2.0 row 15 : 15 | 53 | alex polita | suzuki gsx-r1000 k6 | 22 | +1:22.584 | 18 | 1.0 row 16 : 16 | 73 | christian zaiser | mv agusta f4 1000r | 22 | +1:28.374 | 19 | nan row 17 : 17 | 42 | dean ellison | ducati 999rs | 22 | +1:30.184 | 21 | nan row 18 : 18 | 36 | jiri drazdak | yamaha yzf-r1 | 21 | +1 lap | 20 | nan row 19 : ret | 55 | regis laconi | kawasaki zx-10r | 16 | retirement | 9 | nan row 20 : ret | 84 | michel fabrizio | honda cbr1000rr | 5 | retirement | 13 | nan
|
table_csv/203_142.csv
| 0 |
{
"column_index": [
7,
7,
7,
7,
7,
7,
7,
7,
7,
7,
7,
7,
7,
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7,
7,
7,
7
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"row_index": [
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9,
10,
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12,
13,
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15,
16,
17,
18,
19
]
}
|
[
"what are the listed point totals?"
] | 0 |
25, 20, 16, 13, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, , , , ,
|
[
"Pos",
"No",
"Rider",
"Bike",
"Laps",
"Time",
"Grid",
"Points"
] |
what are the listed point totals?
|
[
[
"1",
"21",
"Troy Bayliss",
"Ducati 999 F07",
"22",
"34:11.276",
"1",
"25.0"
],
[
"2",
"52",
"James Toseland",
"Honda CBR1000RR",
"22",
"+2.096",
"2",
"20.0"
],
[
"3",
"3",
"Max Biaggi",
"Suzuki GSX-R1000 K7",
"22",
"+10.143",
"5",
"16.0"
],
[
"4",
"41",
"Noriyuki Haga",
"Yamaha YZF-R1",
"22",
"+18.923",
"4",
"13.0"
],
[
"5",
"11",
"Troy Corser",
"Yamaha YZF-R1",
"22",
"+19.742",
"3",
"11.0"
],
[
"6",
"57",
"Lorenzo Lanzi",
"Ducati 999 F07",
"22",
"+24.765",
"10",
"10.0"
],
[
"7",
"111",
"Ruben Xaus",
"Ducati 999 F06",
"22",
"+27.404",
"8",
"9.0"
],
[
"8",
"76",
"Max Neukirchner",
"Suzuki GSX-R1000 K6",
"22",
"+34.614",
"7",
"8.0"
],
[
"9",
"10",
"Fonsi Nieto",
"Kawasaki ZX-10R",
"22",
"+35.339",
"6",
"7.0"
],
[
"10",
"99",
"Steve Martin",
"Honda CBR1000RR",
"22",
"+36.238",
"11",
"6.0"
],
[
"11",
"44",
"Roberto Rolfo",
"Honda CBR1000RR",
"22",
"+38.067",
"15",
"5.0"
],
[
"12",
"25",
"Josh Brookes",
"Honda CBR1000RR",
"22",
"+47.078",
"12",
"4.0"
],
[
"13",
"38",
"Shinichi Nakatomi",
"Yamaha YZF-R1",
"22",
"+58.571",
"17",
"3.0"
],
[
"14",
"96",
"Jakub Smrz",
"Ducati 999 F05",
"22",
"+1:08.000",
"14",
"2.0"
],
[
"15",
"53",
"Alex Polita",
"Suzuki GSX-R1000 K6",
"22",
"+1:22.584",
"18",
"1.0"
],
[
"16",
"73",
"Christian Zaiser",
"MV Agusta F4 1000R",
"22",
"+1:28.374",
"19",
"nan"
],
[
"17",
"42",
"Dean Ellison",
"Ducati 999RS",
"22",
"+1:30.184",
"21",
"nan"
],
[
"18",
"36",
"Jiri Drazdak",
"Yamaha YZF-R1",
"21",
"+1 Lap",
"20",
"nan"
],
[
"Ret",
"55",
"Regis Laconi",
"Kawasaki ZX-10R",
"16",
"Retirement",
"9",
"nan"
],
[
"Ret",
"84",
"Michel Fabrizio",
"Honda CBR1000RR",
"5",
"Retirement",
"13",
"nan"
]
] |
[
"25",
"20",
"16",
"13",
"11",
"10",
"9",
"8",
"7",
"6",
"5",
"4",
"3",
"2",
"1",
"",
"",
"",
"",
""
] |
what are the listed point totals? ||
|
ns-1684
|
col : pos | no | rider | bike | laps | time | grid | points row 1 : 1 | 21 | troy bayliss | ducati 999 f07 | 22 | 34:11.276 | 1 | 25.0 row 2 : 2 | 52 | james toseland | honda cbr1000rr | 22 | +2.096 | 2 | 20.0 row 3 : 3 | 3 | max biaggi | suzuki gsx-r1000 k7 | 22 | +10.143 | 5 | 16.0 row 4 : 4 | 41 | noriyuki haga | yamaha yzf-r1 | 22 | +18.923 | 4 | 13.0 row 5 : 5 | 11 | troy corser | yamaha yzf-r1 | 22 | +19.742 | 3 | 11.0 row 6 : 6 | 57 | lorenzo lanzi | ducati 999 f07 | 22 | +24.765 | 10 | 10.0 row 7 : 7 | 111 | ruben xaus | ducati 999 f06 | 22 | +27.404 | 8 | 9.0 row 8 : 8 | 76 | max neukirchner | suzuki gsx-r1000 k6 | 22 | +34.614 | 7 | 8.0 row 9 : 9 | 10 | fonsi nieto | kawasaki zx-10r | 22 | +35.339 | 6 | 7.0 row 10 : 10 | 99 | steve martin | honda cbr1000rr | 22 | +36.238 | 11 | 6.0 row 11 : 11 | 44 | roberto rolfo | honda cbr1000rr | 22 | +38.067 | 15 | 5.0 row 12 : 12 | 25 | josh brookes | honda cbr1000rr | 22 | +47.078 | 12 | 4.0 row 13 : 13 | 38 | shinichi nakatomi | yamaha yzf-r1 | 22 | +58.571 | 17 | 3.0 row 14 : 14 | 96 | jakub smrz | ducati 999 f05 | 22 | +1:08.000 | 14 | 2.0 row 15 : 15 | 53 | alex polita | suzuki gsx-r1000 k6 | 22 | +1:22.584 | 18 | 1.0 row 16 : 16 | 73 | christian zaiser | mv agusta f4 1000r | 22 | +1:28.374 | 19 | nan row 17 : 17 | 42 | dean ellison | ducati 999rs | 22 | +1:30.184 | 21 | nan row 18 : 18 | 36 | jiri drazdak | yamaha yzf-r1 | 21 | +1 lap | 20 | nan row 19 : ret | 55 | regis laconi | kawasaki zx-10r | 16 | retirement | 9 | nan row 20 : ret | 84 | michel fabrizio | honda cbr1000rr | 5 | retirement | 13 | nan
|
table_csv/203_142.csv
| 1 |
{
"column_index": [
7
],
"row_index": [
14
]
}
|
[
"what are the listed point totals?",
"of those, which is the smallest number above 0?"
] | 0 |
1
|
[
"Pos",
"No",
"Rider",
"Bike",
"Laps",
"Time",
"Grid",
"Points"
] |
of those, which is the smallest number above 0?
|
[
[
"1",
"21",
"Troy Bayliss",
"Ducati 999 F07",
"22",
"34:11.276",
"1",
"25.0"
],
[
"2",
"52",
"James Toseland",
"Honda CBR1000RR",
"22",
"+2.096",
"2",
"20.0"
],
[
"3",
"3",
"Max Biaggi",
"Suzuki GSX-R1000 K7",
"22",
"+10.143",
"5",
"16.0"
],
[
"4",
"41",
"Noriyuki Haga",
"Yamaha YZF-R1",
"22",
"+18.923",
"4",
"13.0"
],
[
"5",
"11",
"Troy Corser",
"Yamaha YZF-R1",
"22",
"+19.742",
"3",
"11.0"
],
[
"6",
"57",
"Lorenzo Lanzi",
"Ducati 999 F07",
"22",
"+24.765",
"10",
"10.0"
],
[
"7",
"111",
"Ruben Xaus",
"Ducati 999 F06",
"22",
"+27.404",
"8",
"9.0"
],
[
"8",
"76",
"Max Neukirchner",
"Suzuki GSX-R1000 K6",
"22",
"+34.614",
"7",
"8.0"
],
[
"9",
"10",
"Fonsi Nieto",
"Kawasaki ZX-10R",
"22",
"+35.339",
"6",
"7.0"
],
[
"10",
"99",
"Steve Martin",
"Honda CBR1000RR",
"22",
"+36.238",
"11",
"6.0"
],
[
"11",
"44",
"Roberto Rolfo",
"Honda CBR1000RR",
"22",
"+38.067",
"15",
"5.0"
],
[
"12",
"25",
"Josh Brookes",
"Honda CBR1000RR",
"22",
"+47.078",
"12",
"4.0"
],
[
"13",
"38",
"Shinichi Nakatomi",
"Yamaha YZF-R1",
"22",
"+58.571",
"17",
"3.0"
],
[
"14",
"96",
"Jakub Smrz",
"Ducati 999 F05",
"22",
"+1:08.000",
"14",
"2.0"
],
[
"15",
"53",
"Alex Polita",
"Suzuki GSX-R1000 K6",
"22",
"+1:22.584",
"18",
"1.0"
],
[
"16",
"73",
"Christian Zaiser",
"MV Agusta F4 1000R",
"22",
"+1:28.374",
"19",
"nan"
],
[
"17",
"42",
"Dean Ellison",
"Ducati 999RS",
"22",
"+1:30.184",
"21",
"nan"
],
[
"18",
"36",
"Jiri Drazdak",
"Yamaha YZF-R1",
"21",
"+1 Lap",
"20",
"nan"
],
[
"Ret",
"55",
"Regis Laconi",
"Kawasaki ZX-10R",
"16",
"Retirement",
"9",
"nan"
],
[
"Ret",
"84",
"Michel Fabrizio",
"Honda CBR1000RR",
"5",
"Retirement",
"13",
"nan"
]
] |
[
"1"
] |
of those, which is the smallest number above 0? || what are the listed point totals?
|
ns-1684
|
col : pos | no | rider | bike | laps | time | grid | points row 1 : 1 | 21 | troy bayliss | ducati 999 f07 | 22 | 34:11.276 | 1 | 25.0 row 2 : 2 | 52 | james toseland | honda cbr1000rr | 22 | +2.096 | 2 | 20.0 row 3 : 3 | 3 | max biaggi | suzuki gsx-r1000 k7 | 22 | +10.143 | 5 | 16.0 row 4 : 4 | 41 | noriyuki haga | yamaha yzf-r1 | 22 | +18.923 | 4 | 13.0 row 5 : 5 | 11 | troy corser | yamaha yzf-r1 | 22 | +19.742 | 3 | 11.0 row 6 : 6 | 57 | lorenzo lanzi | ducati 999 f07 | 22 | +24.765 | 10 | 10.0 row 7 : 7 | 111 | ruben xaus | ducati 999 f06 | 22 | +27.404 | 8 | 9.0 row 8 : 8 | 76 | max neukirchner | suzuki gsx-r1000 k6 | 22 | +34.614 | 7 | 8.0 row 9 : 9 | 10 | fonsi nieto | kawasaki zx-10r | 22 | +35.339 | 6 | 7.0 row 10 : 10 | 99 | steve martin | honda cbr1000rr | 22 | +36.238 | 11 | 6.0 row 11 : 11 | 44 | roberto rolfo | honda cbr1000rr | 22 | +38.067 | 15 | 5.0 row 12 : 12 | 25 | josh brookes | honda cbr1000rr | 22 | +47.078 | 12 | 4.0 row 13 : 13 | 38 | shinichi nakatomi | yamaha yzf-r1 | 22 | +58.571 | 17 | 3.0 row 14 : 14 | 96 | jakub smrz | ducati 999 f05 | 22 | +1:08.000 | 14 | 2.0 row 15 : 15 | 53 | alex polita | suzuki gsx-r1000 k6 | 22 | +1:22.584 | 18 | 1.0 row 16 : 16 | 73 | christian zaiser | mv agusta f4 1000r | 22 | +1:28.374 | 19 | nan row 17 : 17 | 42 | dean ellison | ducati 999rs | 22 | +1:30.184 | 21 | nan row 18 : 18 | 36 | jiri drazdak | yamaha yzf-r1 | 21 | +1 lap | 20 | nan row 19 : ret | 55 | regis laconi | kawasaki zx-10r | 16 | retirement | 9 | nan row 20 : ret | 84 | michel fabrizio | honda cbr1000rr | 5 | retirement | 13 | nan
|
table_csv/203_142.csv
| 2 |
{
"column_index": [
2
],
"row_index": [
14
]
}
|
[
"what are the listed point totals?",
"of those, which is the smallest number above 0?",
"to what rider does that value belong?"
] | 0 |
alex polita
|
[
"Pos",
"No",
"Rider",
"Bike",
"Laps",
"Time",
"Grid",
"Points"
] |
to what rider does that value belong?
|
[
[
"1",
"21",
"Troy Bayliss",
"Ducati 999 F07",
"22",
"34:11.276",
"1",
"25.0"
],
[
"2",
"52",
"James Toseland",
"Honda CBR1000RR",
"22",
"+2.096",
"2",
"20.0"
],
[
"3",
"3",
"Max Biaggi",
"Suzuki GSX-R1000 K7",
"22",
"+10.143",
"5",
"16.0"
],
[
"4",
"41",
"Noriyuki Haga",
"Yamaha YZF-R1",
"22",
"+18.923",
"4",
"13.0"
],
[
"5",
"11",
"Troy Corser",
"Yamaha YZF-R1",
"22",
"+19.742",
"3",
"11.0"
],
[
"6",
"57",
"Lorenzo Lanzi",
"Ducati 999 F07",
"22",
"+24.765",
"10",
"10.0"
],
[
"7",
"111",
"Ruben Xaus",
"Ducati 999 F06",
"22",
"+27.404",
"8",
"9.0"
],
[
"8",
"76",
"Max Neukirchner",
"Suzuki GSX-R1000 K6",
"22",
"+34.614",
"7",
"8.0"
],
[
"9",
"10",
"Fonsi Nieto",
"Kawasaki ZX-10R",
"22",
"+35.339",
"6",
"7.0"
],
[
"10",
"99",
"Steve Martin",
"Honda CBR1000RR",
"22",
"+36.238",
"11",
"6.0"
],
[
"11",
"44",
"Roberto Rolfo",
"Honda CBR1000RR",
"22",
"+38.067",
"15",
"5.0"
],
[
"12",
"25",
"Josh Brookes",
"Honda CBR1000RR",
"22",
"+47.078",
"12",
"4.0"
],
[
"13",
"38",
"Shinichi Nakatomi",
"Yamaha YZF-R1",
"22",
"+58.571",
"17",
"3.0"
],
[
"14",
"96",
"Jakub Smrz",
"Ducati 999 F05",
"22",
"+1:08.000",
"14",
"2.0"
],
[
"15",
"53",
"Alex Polita",
"Suzuki GSX-R1000 K6",
"22",
"+1:22.584",
"18",
"1.0"
],
[
"16",
"73",
"Christian Zaiser",
"MV Agusta F4 1000R",
"22",
"+1:28.374",
"19",
"nan"
],
[
"17",
"42",
"Dean Ellison",
"Ducati 999RS",
"22",
"+1:30.184",
"21",
"nan"
],
[
"18",
"36",
"Jiri Drazdak",
"Yamaha YZF-R1",
"21",
"+1 Lap",
"20",
"nan"
],
[
"Ret",
"55",
"Regis Laconi",
"Kawasaki ZX-10R",
"16",
"Retirement",
"9",
"nan"
],
[
"Ret",
"84",
"Michel Fabrizio",
"Honda CBR1000RR",
"5",
"Retirement",
"13",
"nan"
]
] |
[
"Alex Polita"
] |
to what rider does that value belong? || of those, which is the smallest number above 0? | what are the listed point totals?
|
ns-1684
|
col : pos | no | rider | bike | laps | time | grid | points row 1 : 1 | 21 | troy bayliss | ducati 999 f07 | 22 | 34:11.276 | 1 | 25.0 row 2 : 2 | 52 | james toseland | honda cbr1000rr | 22 | +2.096 | 2 | 20.0 row 3 : 3 | 3 | max biaggi | suzuki gsx-r1000 k7 | 22 | +10.143 | 5 | 16.0 row 4 : 4 | 41 | noriyuki haga | yamaha yzf-r1 | 22 | +18.923 | 4 | 13.0 row 5 : 5 | 11 | troy corser | yamaha yzf-r1 | 22 | +19.742 | 3 | 11.0 row 6 : 6 | 57 | lorenzo lanzi | ducati 999 f07 | 22 | +24.765 | 10 | 10.0 row 7 : 7 | 111 | ruben xaus | ducati 999 f06 | 22 | +27.404 | 8 | 9.0 row 8 : 8 | 76 | max neukirchner | suzuki gsx-r1000 k6 | 22 | +34.614 | 7 | 8.0 row 9 : 9 | 10 | fonsi nieto | kawasaki zx-10r | 22 | +35.339 | 6 | 7.0 row 10 : 10 | 99 | steve martin | honda cbr1000rr | 22 | +36.238 | 11 | 6.0 row 11 : 11 | 44 | roberto rolfo | honda cbr1000rr | 22 | +38.067 | 15 | 5.0 row 12 : 12 | 25 | josh brookes | honda cbr1000rr | 22 | +47.078 | 12 | 4.0 row 13 : 13 | 38 | shinichi nakatomi | yamaha yzf-r1 | 22 | +58.571 | 17 | 3.0 row 14 : 14 | 96 | jakub smrz | ducati 999 f05 | 22 | +1:08.000 | 14 | 2.0 row 15 : 15 | 53 | alex polita | suzuki gsx-r1000 k6 | 22 | +1:22.584 | 18 | 1.0 row 16 : 16 | 73 | christian zaiser | mv agusta f4 1000r | 22 | +1:28.374 | 19 | nan row 17 : 17 | 42 | dean ellison | ducati 999rs | 22 | +1:30.184 | 21 | nan row 18 : 18 | 36 | jiri drazdak | yamaha yzf-r1 | 21 | +1 lap | 20 | nan row 19 : ret | 55 | regis laconi | kawasaki zx-10r | 16 | retirement | 9 | nan row 20 : ret | 84 | michel fabrizio | honda cbr1000rr | 5 | retirement | 13 | nan
|
table_csv/203_142.csv
| 0 |
{
"column_index": [
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2,
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2,
2,
2,
2,
2,
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5,
6,
7,
8,
9,
10,
11,
12,
13,
14
]
}
|
[
"which riders have points?"
] | 1 |
troy bayliss, james toseland, max biaggi, noriyuki haga, troy corser, lorenzo lanzi, ruben xaus, max neukirchner, fonsi nieto, steve martin, roberto rolfo, josh brookes, shinichi nakatomi, jakub smrz, alex polita
|
[
"Pos",
"No",
"Rider",
"Bike",
"Laps",
"Time",
"Grid",
"Points"
] |
which riders have points?
|
[
[
"1",
"21",
"Troy Bayliss",
"Ducati 999 F07",
"22",
"34:11.276",
"1",
"25.0"
],
[
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"52",
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"22",
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],
[
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"3",
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"Suzuki GSX-R1000 K7",
"22",
"+10.143",
"5",
"16.0"
],
[
"4",
"41",
"Noriyuki Haga",
"Yamaha YZF-R1",
"22",
"+18.923",
"4",
"13.0"
],
[
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"Troy Corser",
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"22",
"+19.742",
"3",
"11.0"
],
[
"6",
"57",
"Lorenzo Lanzi",
"Ducati 999 F07",
"22",
"+24.765",
"10",
"10.0"
],
[
"7",
"111",
"Ruben Xaus",
"Ducati 999 F06",
"22",
"+27.404",
"8",
"9.0"
],
[
"8",
"76",
"Max Neukirchner",
"Suzuki GSX-R1000 K6",
"22",
"+34.614",
"7",
"8.0"
],
[
"9",
"10",
"Fonsi Nieto",
"Kawasaki ZX-10R",
"22",
"+35.339",
"6",
"7.0"
],
[
"10",
"99",
"Steve Martin",
"Honda CBR1000RR",
"22",
"+36.238",
"11",
"6.0"
],
[
"11",
"44",
"Roberto Rolfo",
"Honda CBR1000RR",
"22",
"+38.067",
"15",
"5.0"
],
[
"12",
"25",
"Josh Brookes",
"Honda CBR1000RR",
"22",
"+47.078",
"12",
"4.0"
],
[
"13",
"38",
"Shinichi Nakatomi",
"Yamaha YZF-R1",
"22",
"+58.571",
"17",
"3.0"
],
[
"14",
"96",
"Jakub Smrz",
"Ducati 999 F05",
"22",
"+1:08.000",
"14",
"2.0"
],
[
"15",
"53",
"Alex Polita",
"Suzuki GSX-R1000 K6",
"22",
"+1:22.584",
"18",
"1.0"
],
[
"16",
"73",
"Christian Zaiser",
"MV Agusta F4 1000R",
"22",
"+1:28.374",
"19",
"nan"
],
[
"17",
"42",
"Dean Ellison",
"Ducati 999RS",
"22",
"+1:30.184",
"21",
"nan"
],
[
"18",
"36",
"Jiri Drazdak",
"Yamaha YZF-R1",
"21",
"+1 Lap",
"20",
"nan"
],
[
"Ret",
"55",
"Regis Laconi",
"Kawasaki ZX-10R",
"16",
"Retirement",
"9",
"nan"
],
[
"Ret",
"84",
"Michel Fabrizio",
"Honda CBR1000RR",
"5",
"Retirement",
"13",
"nan"
]
] |
[
"Troy Bayliss",
"James Toseland",
"Max Biaggi",
"Noriyuki Haga",
"Troy Corser",
"Lorenzo Lanzi",
"Ruben Xaus",
"Max Neukirchner",
"Fonsi Nieto",
"Steve Martin",
"Roberto Rolfo",
"Josh Brookes",
"Shinichi Nakatomi",
"Jakub Smrz",
"Alex Polita"
] |
which riders have points? ||
|
ns-1684
|
col : pos | no | rider | bike | laps | time | grid | points row 1 : 1 | 21 | troy bayliss | ducati 999 f07 | 22 | 34:11.276 | 1 | 25.0 row 2 : 2 | 52 | james toseland | honda cbr1000rr | 22 | +2.096 | 2 | 20.0 row 3 : 3 | 3 | max biaggi | suzuki gsx-r1000 k7 | 22 | +10.143 | 5 | 16.0 row 4 : 4 | 41 | noriyuki haga | yamaha yzf-r1 | 22 | +18.923 | 4 | 13.0 row 5 : 5 | 11 | troy corser | yamaha yzf-r1 | 22 | +19.742 | 3 | 11.0 row 6 : 6 | 57 | lorenzo lanzi | ducati 999 f07 | 22 | +24.765 | 10 | 10.0 row 7 : 7 | 111 | ruben xaus | ducati 999 f06 | 22 | +27.404 | 8 | 9.0 row 8 : 8 | 76 | max neukirchner | suzuki gsx-r1000 k6 | 22 | +34.614 | 7 | 8.0 row 9 : 9 | 10 | fonsi nieto | kawasaki zx-10r | 22 | +35.339 | 6 | 7.0 row 10 : 10 | 99 | steve martin | honda cbr1000rr | 22 | +36.238 | 11 | 6.0 row 11 : 11 | 44 | roberto rolfo | honda cbr1000rr | 22 | +38.067 | 15 | 5.0 row 12 : 12 | 25 | josh brookes | honda cbr1000rr | 22 | +47.078 | 12 | 4.0 row 13 : 13 | 38 | shinichi nakatomi | yamaha yzf-r1 | 22 | +58.571 | 17 | 3.0 row 14 : 14 | 96 | jakub smrz | ducati 999 f05 | 22 | +1:08.000 | 14 | 2.0 row 15 : 15 | 53 | alex polita | suzuki gsx-r1000 k6 | 22 | +1:22.584 | 18 | 1.0 row 16 : 16 | 73 | christian zaiser | mv agusta f4 1000r | 22 | +1:28.374 | 19 | nan row 17 : 17 | 42 | dean ellison | ducati 999rs | 22 | +1:30.184 | 21 | nan row 18 : 18 | 36 | jiri drazdak | yamaha yzf-r1 | 21 | +1 lap | 20 | nan row 19 : ret | 55 | regis laconi | kawasaki zx-10r | 16 | retirement | 9 | nan row 20 : ret | 84 | michel fabrizio | honda cbr1000rr | 5 | retirement | 13 | nan
|
table_csv/203_142.csv
| 1 |
{
"column_index": [
2
],
"row_index": [
14
]
}
|
[
"which riders have points?",
"which rider has the least amount of points?"
] | 1 |
alex polita
|
[
"Pos",
"No",
"Rider",
"Bike",
"Laps",
"Time",
"Grid",
"Points"
] |
which rider has the least amount of points?
|
[
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"34:11.276",
"1",
"25.0"
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[
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[
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],
[
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"3",
"11.0"
],
[
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"Ducati 999 F07",
"22",
"+24.765",
"10",
"10.0"
],
[
"7",
"111",
"Ruben Xaus",
"Ducati 999 F06",
"22",
"+27.404",
"8",
"9.0"
],
[
"8",
"76",
"Max Neukirchner",
"Suzuki GSX-R1000 K6",
"22",
"+34.614",
"7",
"8.0"
],
[
"9",
"10",
"Fonsi Nieto",
"Kawasaki ZX-10R",
"22",
"+35.339",
"6",
"7.0"
],
[
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"Steve Martin",
"Honda CBR1000RR",
"22",
"+36.238",
"11",
"6.0"
],
[
"11",
"44",
"Roberto Rolfo",
"Honda CBR1000RR",
"22",
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[
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[
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[
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],
[
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"22",
"+1:22.584",
"18",
"1.0"
],
[
"16",
"73",
"Christian Zaiser",
"MV Agusta F4 1000R",
"22",
"+1:28.374",
"19",
"nan"
],
[
"17",
"42",
"Dean Ellison",
"Ducati 999RS",
"22",
"+1:30.184",
"21",
"nan"
],
[
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"36",
"Jiri Drazdak",
"Yamaha YZF-R1",
"21",
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"20",
"nan"
],
[
"Ret",
"55",
"Regis Laconi",
"Kawasaki ZX-10R",
"16",
"Retirement",
"9",
"nan"
],
[
"Ret",
"84",
"Michel Fabrizio",
"Honda CBR1000RR",
"5",
"Retirement",
"13",
"nan"
]
] |
[
"Alex Polita"
] |
which rider has the least amount of points? || which riders have points?
|
ns-1684
|
col : pos | no | rider | bike | laps | time | grid | points row 1 : 1 | 21 | troy bayliss | ducati 999 f07 | 22 | 34:11.276 | 1 | 25.0 row 2 : 2 | 52 | james toseland | honda cbr1000rr | 22 | +2.096 | 2 | 20.0 row 3 : 3 | 3 | max biaggi | suzuki gsx-r1000 k7 | 22 | +10.143 | 5 | 16.0 row 4 : 4 | 41 | noriyuki haga | yamaha yzf-r1 | 22 | +18.923 | 4 | 13.0 row 5 : 5 | 11 | troy corser | yamaha yzf-r1 | 22 | +19.742 | 3 | 11.0 row 6 : 6 | 57 | lorenzo lanzi | ducati 999 f07 | 22 | +24.765 | 10 | 10.0 row 7 : 7 | 111 | ruben xaus | ducati 999 f06 | 22 | +27.404 | 8 | 9.0 row 8 : 8 | 76 | max neukirchner | suzuki gsx-r1000 k6 | 22 | +34.614 | 7 | 8.0 row 9 : 9 | 10 | fonsi nieto | kawasaki zx-10r | 22 | +35.339 | 6 | 7.0 row 10 : 10 | 99 | steve martin | honda cbr1000rr | 22 | +36.238 | 11 | 6.0 row 11 : 11 | 44 | roberto rolfo | honda cbr1000rr | 22 | +38.067 | 15 | 5.0 row 12 : 12 | 25 | josh brookes | honda cbr1000rr | 22 | +47.078 | 12 | 4.0 row 13 : 13 | 38 | shinichi nakatomi | yamaha yzf-r1 | 22 | +58.571 | 17 | 3.0 row 14 : 14 | 96 | jakub smrz | ducati 999 f05 | 22 | +1:08.000 | 14 | 2.0 row 15 : 15 | 53 | alex polita | suzuki gsx-r1000 k6 | 22 | +1:22.584 | 18 | 1.0 row 16 : 16 | 73 | christian zaiser | mv agusta f4 1000r | 22 | +1:28.374 | 19 | nan row 17 : 17 | 42 | dean ellison | ducati 999rs | 22 | +1:30.184 | 21 | nan row 18 : 18 | 36 | jiri drazdak | yamaha yzf-r1 | 21 | +1 lap | 20 | nan row 19 : ret | 55 | regis laconi | kawasaki zx-10r | 16 | retirement | 9 | nan row 20 : ret | 84 | michel fabrizio | honda cbr1000rr | 5 | retirement | 13 | nan
|
table_csv/203_142.csv
| 0 |
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]
}
|
[
"which riders in the 2007 phillip island superbike world championship round scored at least 1 point?"
] | 2 |
troy bayliss, james toseland, max biaggi, noriyuki haga, troy corser, lorenzo lanzi, ruben xaus, max neukirchner, fonsi nieto, steve martin, roberto rolfo, josh brookes, shinichi nakatomi, jakub smrz, alex polita
|
[
"Pos",
"No",
"Rider",
"Bike",
"Laps",
"Time",
"Grid",
"Points"
] |
which riders in the 2007 phillip island superbike world championship round scored at least 1 point?
|
[
[
"1",
"21",
"Troy Bayliss",
"Ducati 999 F07",
"22",
"34:11.276",
"1",
"25.0"
],
[
"2",
"52",
"James Toseland",
"Honda CBR1000RR",
"22",
"+2.096",
"2",
"20.0"
],
[
"3",
"3",
"Max Biaggi",
"Suzuki GSX-R1000 K7",
"22",
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"5",
"16.0"
],
[
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"41",
"Noriyuki Haga",
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"22",
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],
[
"5",
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"Troy Corser",
"Yamaha YZF-R1",
"22",
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],
[
"6",
"57",
"Lorenzo Lanzi",
"Ducati 999 F07",
"22",
"+24.765",
"10",
"10.0"
],
[
"7",
"111",
"Ruben Xaus",
"Ducati 999 F06",
"22",
"+27.404",
"8",
"9.0"
],
[
"8",
"76",
"Max Neukirchner",
"Suzuki GSX-R1000 K6",
"22",
"+34.614",
"7",
"8.0"
],
[
"9",
"10",
"Fonsi Nieto",
"Kawasaki ZX-10R",
"22",
"+35.339",
"6",
"7.0"
],
[
"10",
"99",
"Steve Martin",
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"22",
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],
[
"11",
"44",
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"Honda CBR1000RR",
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"5.0"
],
[
"12",
"25",
"Josh Brookes",
"Honda CBR1000RR",
"22",
"+47.078",
"12",
"4.0"
],
[
"13",
"38",
"Shinichi Nakatomi",
"Yamaha YZF-R1",
"22",
"+58.571",
"17",
"3.0"
],
[
"14",
"96",
"Jakub Smrz",
"Ducati 999 F05",
"22",
"+1:08.000",
"14",
"2.0"
],
[
"15",
"53",
"Alex Polita",
"Suzuki GSX-R1000 K6",
"22",
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"18",
"1.0"
],
[
"16",
"73",
"Christian Zaiser",
"MV Agusta F4 1000R",
"22",
"+1:28.374",
"19",
"nan"
],
[
"17",
"42",
"Dean Ellison",
"Ducati 999RS",
"22",
"+1:30.184",
"21",
"nan"
],
[
"18",
"36",
"Jiri Drazdak",
"Yamaha YZF-R1",
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"20",
"nan"
],
[
"Ret",
"55",
"Regis Laconi",
"Kawasaki ZX-10R",
"16",
"Retirement",
"9",
"nan"
],
[
"Ret",
"84",
"Michel Fabrizio",
"Honda CBR1000RR",
"5",
"Retirement",
"13",
"nan"
]
] |
[
"Troy Bayliss",
"James Toseland",
"Max Biaggi",
"Noriyuki Haga",
"Troy Corser",
"Lorenzo Lanzi",
"Ruben Xaus",
"Max Neukirchner",
"Fonsi Nieto",
"Steve Martin",
"Roberto Rolfo",
"Josh Brookes",
"Shinichi Nakatomi",
"Jakub Smrz",
"Alex Polita"
] |
which riders in the 2007 phillip island superbike world championship round scored at least 1 point? ||
|
ns-1684
|
col : pos | no | rider | bike | laps | time | grid | points row 1 : 1 | 21 | troy bayliss | ducati 999 f07 | 22 | 34:11.276 | 1 | 25.0 row 2 : 2 | 52 | james toseland | honda cbr1000rr | 22 | +2.096 | 2 | 20.0 row 3 : 3 | 3 | max biaggi | suzuki gsx-r1000 k7 | 22 | +10.143 | 5 | 16.0 row 4 : 4 | 41 | noriyuki haga | yamaha yzf-r1 | 22 | +18.923 | 4 | 13.0 row 5 : 5 | 11 | troy corser | yamaha yzf-r1 | 22 | +19.742 | 3 | 11.0 row 6 : 6 | 57 | lorenzo lanzi | ducati 999 f07 | 22 | +24.765 | 10 | 10.0 row 7 : 7 | 111 | ruben xaus | ducati 999 f06 | 22 | +27.404 | 8 | 9.0 row 8 : 8 | 76 | max neukirchner | suzuki gsx-r1000 k6 | 22 | +34.614 | 7 | 8.0 row 9 : 9 | 10 | fonsi nieto | kawasaki zx-10r | 22 | +35.339 | 6 | 7.0 row 10 : 10 | 99 | steve martin | honda cbr1000rr | 22 | +36.238 | 11 | 6.0 row 11 : 11 | 44 | roberto rolfo | honda cbr1000rr | 22 | +38.067 | 15 | 5.0 row 12 : 12 | 25 | josh brookes | honda cbr1000rr | 22 | +47.078 | 12 | 4.0 row 13 : 13 | 38 | shinichi nakatomi | yamaha yzf-r1 | 22 | +58.571 | 17 | 3.0 row 14 : 14 | 96 | jakub smrz | ducati 999 f05 | 22 | +1:08.000 | 14 | 2.0 row 15 : 15 | 53 | alex polita | suzuki gsx-r1000 k6 | 22 | +1:22.584 | 18 | 1.0 row 16 : 16 | 73 | christian zaiser | mv agusta f4 1000r | 22 | +1:28.374 | 19 | nan row 17 : 17 | 42 | dean ellison | ducati 999rs | 22 | +1:30.184 | 21 | nan row 18 : 18 | 36 | jiri drazdak | yamaha yzf-r1 | 21 | +1 lap | 20 | nan row 19 : ret | 55 | regis laconi | kawasaki zx-10r | 16 | retirement | 9 | nan row 20 : ret | 84 | michel fabrizio | honda cbr1000rr | 5 | retirement | 13 | nan
|
table_csv/203_142.csv
| 1 |
{
"column_index": [
2
],
"row_index": [
14
]
}
|
[
"which riders in the 2007 phillip island superbike world championship round scored at least 1 point?",
"of these riders, which one scored the least points?"
] | 2 |
alex polita
|
[
"Pos",
"No",
"Rider",
"Bike",
"Laps",
"Time",
"Grid",
"Points"
] |
of these riders, which one scored the least points?
|
[
[
"1",
"21",
"Troy Bayliss",
"Ducati 999 F07",
"22",
"34:11.276",
"1",
"25.0"
],
[
"2",
"52",
"James Toseland",
"Honda CBR1000RR",
"22",
"+2.096",
"2",
"20.0"
],
[
"3",
"3",
"Max Biaggi",
"Suzuki GSX-R1000 K7",
"22",
"+10.143",
"5",
"16.0"
],
[
"4",
"41",
"Noriyuki Haga",
"Yamaha YZF-R1",
"22",
"+18.923",
"4",
"13.0"
],
[
"5",
"11",
"Troy Corser",
"Yamaha YZF-R1",
"22",
"+19.742",
"3",
"11.0"
],
[
"6",
"57",
"Lorenzo Lanzi",
"Ducati 999 F07",
"22",
"+24.765",
"10",
"10.0"
],
[
"7",
"111",
"Ruben Xaus",
"Ducati 999 F06",
"22",
"+27.404",
"8",
"9.0"
],
[
"8",
"76",
"Max Neukirchner",
"Suzuki GSX-R1000 K6",
"22",
"+34.614",
"7",
"8.0"
],
[
"9",
"10",
"Fonsi Nieto",
"Kawasaki ZX-10R",
"22",
"+35.339",
"6",
"7.0"
],
[
"10",
"99",
"Steve Martin",
"Honda CBR1000RR",
"22",
"+36.238",
"11",
"6.0"
],
[
"11",
"44",
"Roberto Rolfo",
"Honda CBR1000RR",
"22",
"+38.067",
"15",
"5.0"
],
[
"12",
"25",
"Josh Brookes",
"Honda CBR1000RR",
"22",
"+47.078",
"12",
"4.0"
],
[
"13",
"38",
"Shinichi Nakatomi",
"Yamaha YZF-R1",
"22",
"+58.571",
"17",
"3.0"
],
[
"14",
"96",
"Jakub Smrz",
"Ducati 999 F05",
"22",
"+1:08.000",
"14",
"2.0"
],
[
"15",
"53",
"Alex Polita",
"Suzuki GSX-R1000 K6",
"22",
"+1:22.584",
"18",
"1.0"
],
[
"16",
"73",
"Christian Zaiser",
"MV Agusta F4 1000R",
"22",
"+1:28.374",
"19",
"nan"
],
[
"17",
"42",
"Dean Ellison",
"Ducati 999RS",
"22",
"+1:30.184",
"21",
"nan"
],
[
"18",
"36",
"Jiri Drazdak",
"Yamaha YZF-R1",
"21",
"+1 Lap",
"20",
"nan"
],
[
"Ret",
"55",
"Regis Laconi",
"Kawasaki ZX-10R",
"16",
"Retirement",
"9",
"nan"
],
[
"Ret",
"84",
"Michel Fabrizio",
"Honda CBR1000RR",
"5",
"Retirement",
"13",
"nan"
]
] |
[
"Alex Polita"
] |
of these riders, which one scored the least points? || which riders in the 2007 phillip island superbike world championship round scored at least 1 point?
|
nt-12984
|
col : tournament | games played | points per game | rebounds per game | assists per game row 1 : 2003 eurobasket | 6 | 6.8 | 5.3 | 0.7 row 2 : 2005 eurobasket | 7 | 7.6 | 7.1 | 0.6 row 3 : 2006 fiba world championship | 9 | 9.7 | 6.7 | 0.6 row 4 : 2007 eurobasket | 7 | 8.9 | 3.7 | 0.6 row 5 : 2009 eurobasket | 8 | 6.5 | 2.9 | 1.1 row 6 : 2010 fiba world championship | 4 | 4.5 | 4.8 | 1.5 row 7 : 2011 eurobasket | 11 | 2.6 | 3.4 | 0.8 row 8 : 2012 olympics | 6 | 4.5 | 2.8 | 0.5 row 9 : 2013 eurobasket | 11 | 1.9 | 3.5 | 0.2
|
table_csv/203_527.csv
| 0 |
{
"column_index": [
0,
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|
[
"what tournaments where there in florent peitrus?"
] | 0 |
2003 eurobasket, 2005 eurobasket, 2006 fiba world championship, 2007 eurobasket, 2009 eurobasket, 2010 fiba world championship, 2011 eurobasket, 2012 olympics, 2013 eurobasket
|
[
"Tournament",
"Games played",
"Points per game",
"Rebounds per game",
"Assists per game"
] |
what tournaments where there in florent peitrus?
|
[
[
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"6",
"6.8",
"5.3",
"0.7"
],
[
"2005 EuroBasket",
"7",
"7.6",
"7.1",
"0.6"
],
[
"2006 FIBA World Championship",
"9",
"9.7",
"6.7",
"0.6"
],
[
"2007 EuroBasket",
"7",
"8.9",
"3.7",
"0.6"
],
[
"2009 EuroBasket",
"8",
"6.5",
"2.9",
"1.1"
],
[
"2010 FIBA World Championship",
"4",
"4.5",
"4.8",
"1.5"
],
[
"2011 EuroBasket",
"11",
"2.6",
"3.4",
"0.8"
],
[
"2012 Olympics",
"6",
"4.5",
"2.8",
"0.5"
],
[
"2013 EuroBasket",
"11",
"1.9",
"3.5",
"0.2"
]
] |
[
"2003 EuroBasket",
"2005 EuroBasket",
"2006 FIBA World Championship",
"2007 EuroBasket",
"2009 EuroBasket",
"2010 FIBA World Championship",
"2011 EuroBasket",
"2012 Olympics",
"2013 EuroBasket"
] |
what tournaments where there in florent peitrus? ||
|
nt-12984
|
col : tournament | games played | points per game | rebounds per game | assists per game row 1 : 2003 eurobasket | 6 | 6.8 | 5.3 | 0.7 row 2 : 2005 eurobasket | 7 | 7.6 | 7.1 | 0.6 row 3 : 2006 fiba world championship | 9 | 9.7 | 6.7 | 0.6 row 4 : 2007 eurobasket | 7 | 8.9 | 3.7 | 0.6 row 5 : 2009 eurobasket | 8 | 6.5 | 2.9 | 1.1 row 6 : 2010 fiba world championship | 4 | 4.5 | 4.8 | 1.5 row 7 : 2011 eurobasket | 11 | 2.6 | 3.4 | 0.8 row 8 : 2012 olympics | 6 | 4.5 | 2.8 | 0.5 row 9 : 2013 eurobasket | 11 | 1.9 | 3.5 | 0.2
|
table_csv/203_527.csv
| 1 |
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|
[
"what tournaments where there in florent peitrus?",
"what is the total assists for the 2013 eurobasket tournament?"
] | 0 |
0.2
|
[
"Tournament",
"Games played",
"Points per game",
"Rebounds per game",
"Assists per game"
] |
what is the total assists for the 2013 eurobasket tournament?
|
[
[
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"6",
"6.8",
"5.3",
"0.7"
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"6.5",
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[
"2013 EuroBasket",
"11",
"1.9",
"3.5",
"0.2"
]
] |
[
"0.2"
] |
what is the total assists for the 2013 eurobasket tournament? || what tournaments where there in florent peitrus?
|
nt-12984
|
col : tournament | games played | points per game | rebounds per game | assists per game row 1 : 2003 eurobasket | 6 | 6.8 | 5.3 | 0.7 row 2 : 2005 eurobasket | 7 | 7.6 | 7.1 | 0.6 row 3 : 2006 fiba world championship | 9 | 9.7 | 6.7 | 0.6 row 4 : 2007 eurobasket | 7 | 8.9 | 3.7 | 0.6 row 5 : 2009 eurobasket | 8 | 6.5 | 2.9 | 1.1 row 6 : 2010 fiba world championship | 4 | 4.5 | 4.8 | 1.5 row 7 : 2011 eurobasket | 11 | 2.6 | 3.4 | 0.8 row 8 : 2012 olympics | 6 | 4.5 | 2.8 | 0.5 row 9 : 2013 eurobasket | 11 | 1.9 | 3.5 | 0.2
|
table_csv/203_527.csv
| 0 |
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|
[
"how many assists per game did florent pietrus get?"
] | 1 |
0.7, 0.6, 0.6, 0.6, 1.1, 1.5, 0.8, 0.5, 0.2
|
[
"Tournament",
"Games played",
"Points per game",
"Rebounds per game",
"Assists per game"
] |
how many assists per game did florent pietrus get?
|
[
[
"2003 EuroBasket",
"6",
"6.8",
"5.3",
"0.7"
],
[
"2005 EuroBasket",
"7",
"7.6",
"7.1",
"0.6"
],
[
"2006 FIBA World Championship",
"9",
"9.7",
"6.7",
"0.6"
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[
"2007 EuroBasket",
"7",
"8.9",
"3.7",
"0.6"
],
[
"2009 EuroBasket",
"8",
"6.5",
"2.9",
"1.1"
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[
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"4",
"4.5",
"4.8",
"1.5"
],
[
"2011 EuroBasket",
"11",
"2.6",
"3.4",
"0.8"
],
[
"2012 Olympics",
"6",
"4.5",
"2.8",
"0.5"
],
[
"2013 EuroBasket",
"11",
"1.9",
"3.5",
"0.2"
]
] |
[
"0.7",
"0.6",
"0.6",
"0.6",
"1.1",
"1.5",
"0.8",
"0.5",
"0.2"
] |
how many assists per game did florent pietrus get? ||
|
nt-12984
|
col : tournament | games played | points per game | rebounds per game | assists per game row 1 : 2003 eurobasket | 6 | 6.8 | 5.3 | 0.7 row 2 : 2005 eurobasket | 7 | 7.6 | 7.1 | 0.6 row 3 : 2006 fiba world championship | 9 | 9.7 | 6.7 | 0.6 row 4 : 2007 eurobasket | 7 | 8.9 | 3.7 | 0.6 row 5 : 2009 eurobasket | 8 | 6.5 | 2.9 | 1.1 row 6 : 2010 fiba world championship | 4 | 4.5 | 4.8 | 1.5 row 7 : 2011 eurobasket | 11 | 2.6 | 3.4 | 0.8 row 8 : 2012 olympics | 6 | 4.5 | 2.8 | 0.5 row 9 : 2013 eurobasket | 11 | 1.9 | 3.5 | 0.2
|
table_csv/203_527.csv
| 1 |
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8
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}
|
[
"how many assists per game did florent pietrus get?",
"how many did he get in the 2013 eurobasket?"
] | 1 |
0.2
|
[
"Tournament",
"Games played",
"Points per game",
"Rebounds per game",
"Assists per game"
] |
how many did he get in the 2013 eurobasket?
|
[
[
"2003 EuroBasket",
"6",
"6.8",
"5.3",
"0.7"
],
[
"2005 EuroBasket",
"7",
"7.6",
"7.1",
"0.6"
],
[
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"9.7",
"6.7",
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[
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"4.5",
"2.8",
"0.5"
],
[
"2013 EuroBasket",
"11",
"1.9",
"3.5",
"0.2"
]
] |
[
"0.2"
] |
how many did he get in the 2013 eurobasket? || how many assists per game did florent pietrus get?
|
nt-12984
|
col : tournament | games played | points per game | rebounds per game | assists per game row 1 : 2003 eurobasket | 6 | 6.8 | 5.3 | 0.7 row 2 : 2005 eurobasket | 7 | 7.6 | 7.1 | 0.6 row 3 : 2006 fiba world championship | 9 | 9.7 | 6.7 | 0.6 row 4 : 2007 eurobasket | 7 | 8.9 | 3.7 | 0.6 row 5 : 2009 eurobasket | 8 | 6.5 | 2.9 | 1.1 row 6 : 2010 fiba world championship | 4 | 4.5 | 4.8 | 1.5 row 7 : 2011 eurobasket | 11 | 2.6 | 3.4 | 0.8 row 8 : 2012 olympics | 6 | 4.5 | 2.8 | 0.5 row 9 : 2013 eurobasket | 11 | 1.9 | 3.5 | 0.2
|
table_csv/203_527.csv
| 0 |
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|
[
"what are all the tournaments?"
] | 2 |
2003 eurobasket, 2005 eurobasket, 2006 fiba world championship, 2007 eurobasket, 2009 eurobasket, 2010 fiba world championship, 2011 eurobasket, 2012 olympics, 2013 eurobasket
|
[
"Tournament",
"Games played",
"Points per game",
"Rebounds per game",
"Assists per game"
] |
what are all the tournaments?
|
[
[
"2003 EuroBasket",
"6",
"6.8",
"5.3",
"0.7"
],
[
"2005 EuroBasket",
"7",
"7.6",
"7.1",
"0.6"
],
[
"2006 FIBA World Championship",
"9",
"9.7",
"6.7",
"0.6"
],
[
"2007 EuroBasket",
"7",
"8.9",
"3.7",
"0.6"
],
[
"2009 EuroBasket",
"8",
"6.5",
"2.9",
"1.1"
],
[
"2010 FIBA World Championship",
"4",
"4.5",
"4.8",
"1.5"
],
[
"2011 EuroBasket",
"11",
"2.6",
"3.4",
"0.8"
],
[
"2012 Olympics",
"6",
"4.5",
"2.8",
"0.5"
],
[
"2013 EuroBasket",
"11",
"1.9",
"3.5",
"0.2"
]
] |
[
"2003 EuroBasket",
"2005 EuroBasket",
"2006 FIBA World Championship",
"2007 EuroBasket",
"2009 EuroBasket",
"2010 FIBA World Championship",
"2011 EuroBasket",
"2012 Olympics",
"2013 EuroBasket"
] |
what are all the tournaments? ||
|
nt-12984
|
col : tournament | games played | points per game | rebounds per game | assists per game row 1 : 2003 eurobasket | 6 | 6.8 | 5.3 | 0.7 row 2 : 2005 eurobasket | 7 | 7.6 | 7.1 | 0.6 row 3 : 2006 fiba world championship | 9 | 9.7 | 6.7 | 0.6 row 4 : 2007 eurobasket | 7 | 8.9 | 3.7 | 0.6 row 5 : 2009 eurobasket | 8 | 6.5 | 2.9 | 1.1 row 6 : 2010 fiba world championship | 4 | 4.5 | 4.8 | 1.5 row 7 : 2011 eurobasket | 11 | 2.6 | 3.4 | 0.8 row 8 : 2012 olympics | 6 | 4.5 | 2.8 | 0.5 row 9 : 2013 eurobasket | 11 | 1.9 | 3.5 | 0.2
|
table_csv/203_527.csv
| 1 |
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|
[
"what are all the tournaments?",
"and how many assists were there?"
] | 2 |
0.7, 0.6, 0.6, 0.6, 1.1, 1.5, 0.8, 0.5, 0.2
|
[
"Tournament",
"Games played",
"Points per game",
"Rebounds per game",
"Assists per game"
] |
and how many assists were there?
|
[
[
"2003 EuroBasket",
"6",
"6.8",
"5.3",
"0.7"
],
[
"2005 EuroBasket",
"7",
"7.6",
"7.1",
"0.6"
],
[
"2006 FIBA World Championship",
"9",
"9.7",
"6.7",
"0.6"
],
[
"2007 EuroBasket",
"7",
"8.9",
"3.7",
"0.6"
],
[
"2009 EuroBasket",
"8",
"6.5",
"2.9",
"1.1"
],
[
"2010 FIBA World Championship",
"4",
"4.5",
"4.8",
"1.5"
],
[
"2011 EuroBasket",
"11",
"2.6",
"3.4",
"0.8"
],
[
"2012 Olympics",
"6",
"4.5",
"2.8",
"0.5"
],
[
"2013 EuroBasket",
"11",
"1.9",
"3.5",
"0.2"
]
] |
[
"0.7",
"0.6",
"0.6",
"0.6",
"1.1",
"1.5",
"0.8",
"0.5",
"0.2"
] |
and how many assists were there? || what are all the tournaments?
|
nt-12984
|
col : tournament | games played | points per game | rebounds per game | assists per game row 1 : 2003 eurobasket | 6 | 6.8 | 5.3 | 0.7 row 2 : 2005 eurobasket | 7 | 7.6 | 7.1 | 0.6 row 3 : 2006 fiba world championship | 9 | 9.7 | 6.7 | 0.6 row 4 : 2007 eurobasket | 7 | 8.9 | 3.7 | 0.6 row 5 : 2009 eurobasket | 8 | 6.5 | 2.9 | 1.1 row 6 : 2010 fiba world championship | 4 | 4.5 | 4.8 | 1.5 row 7 : 2011 eurobasket | 11 | 2.6 | 3.4 | 0.8 row 8 : 2012 olympics | 6 | 4.5 | 2.8 | 0.5 row 9 : 2013 eurobasket | 11 | 1.9 | 3.5 | 0.2
|
table_csv/203_527.csv
| 2 |
{
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4
],
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8
]
}
|
[
"what are all the tournaments?",
"and how many assists were there?",
"and how many were scored in the 2013 eurobasket?"
] | 2 |
0.2
|
[
"Tournament",
"Games played",
"Points per game",
"Rebounds per game",
"Assists per game"
] |
and how many were scored in the 2013 eurobasket?
|
[
[
"2003 EuroBasket",
"6",
"6.8",
"5.3",
"0.7"
],
[
"2005 EuroBasket",
"7",
"7.6",
"7.1",
"0.6"
],
[
"2006 FIBA World Championship",
"9",
"9.7",
"6.7",
"0.6"
],
[
"2007 EuroBasket",
"7",
"8.9",
"3.7",
"0.6"
],
[
"2009 EuroBasket",
"8",
"6.5",
"2.9",
"1.1"
],
[
"2010 FIBA World Championship",
"4",
"4.5",
"4.8",
"1.5"
],
[
"2011 EuroBasket",
"11",
"2.6",
"3.4",
"0.8"
],
[
"2012 Olympics",
"6",
"4.5",
"2.8",
"0.5"
],
[
"2013 EuroBasket",
"11",
"1.9",
"3.5",
"0.2"
]
] |
[
"0.2"
] |
and how many were scored in the 2013 eurobasket? || and how many assists were there? | what are all the tournaments?
|
ns-2315
|
col : operators | named trains | destination | year begun | year discontinued row 1 : baltimore and ohio | capitol limited | chicago, illinois via washington, d.c. and pittsburgh, pennsylvania | 1923 | 1958* row 2 : baltimore and ohio | metropolitan special | st. louis, missouri via washington, d.c. and cincinnati, | ca. 1920 | 1958* row 3 : baltimore and ohio | national limited | st. louis, missouri via washington, d.c. and cincinnati, | 1925 | 1958* row 4 : baltimore and ohio | royal blue | washington, d.c. | 1890 | 1958 row 5 : central railroad of new jersey | blue comet | atlantic city, new jersey | 1929 | 1941 row 6 : reading railroad with the central railroad of new jersey | crusader | philadelphia, pennsylvania | 1937 | 1967 row 7 : reading railroad with the central railroad of new jersey | harrisburg special | harrisburg, pennsylvania | nan | nan row 8 : reading railroad with the central railroad of new jersey | queen of the valley | harrisburg, pennsylvania | nan | 1967 row 9 : reading railroad with the central railroad of new jersey | wall street | philadelphia, pennsylvania | nan | nan row 10 : reading railroad with the central railroad of new jersey | williamsporter | williamsport, pennsylvania | nan | nan
|
table_csv/204_336.csv
| 0 |
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|
[
"what are all of the train names?"
] | 0 |
capitol limited, metropolitan special, national limited, royal blue, blue comet, crusader, harrisburg special, queen of the valley, wall street, williamsporter
|
[
"Operators",
"Named trains",
"Destination",
"Year begun",
"Year discontinued"
] |
what are all of the train names?
|
[
[
"Baltimore and Ohio",
"Capitol Limited",
"Chicago, Illinois via Washington, D.C. and Pittsburgh, Pennsylvania",
"1923",
"1958*"
],
[
"Baltimore and Ohio",
"Metropolitan Special",
"St. Louis, Missouri via Washington, D.C. and Cincinnati,",
"ca. 1920",
"1958*"
],
[
"Baltimore and Ohio",
"National Limited",
"St. Louis, Missouri via Washington, D.C. and Cincinnati,",
"1925",
"1958*"
],
[
"Baltimore and Ohio",
"Royal Blue",
"Washington, D.C.",
"1890",
"1958"
],
[
"Central Railroad of New Jersey",
"Blue Comet",
"Atlantic City, New Jersey",
"1929",
"1941"
],
[
"Reading Railroad with the Central Railroad of New Jersey",
"Crusader",
"Philadelphia, Pennsylvania",
"1937",
"1967"
],
[
"Reading Railroad with the Central Railroad of New Jersey",
"Harrisburg Special",
"Harrisburg, Pennsylvania",
"nan",
"nan"
],
[
"Reading Railroad with the Central Railroad of New Jersey",
"Queen of the Valley",
"Harrisburg, Pennsylvania",
"nan",
"1967"
],
[
"Reading Railroad with the Central Railroad of New Jersey",
"Wall Street",
"Philadelphia, Pennsylvania",
"nan",
"nan"
],
[
"Reading Railroad with the Central Railroad of New Jersey",
"Williamsporter",
"Williamsport, Pennsylvania",
"nan",
"nan"
]
] |
[
"Capitol Limited",
"Metropolitan Special",
"National Limited",
"Royal Blue",
"Blue Comet",
"Crusader",
"Harrisburg Special",
"Queen of the Valley",
"Wall Street",
"Williamsporter"
] |
what are all of the train names? ||
|
ns-2315
|
col : operators | named trains | destination | year begun | year discontinued row 1 : baltimore and ohio | capitol limited | chicago, illinois via washington, d.c. and pittsburgh, pennsylvania | 1923 | 1958* row 2 : baltimore and ohio | metropolitan special | st. louis, missouri via washington, d.c. and cincinnati, | ca. 1920 | 1958* row 3 : baltimore and ohio | national limited | st. louis, missouri via washington, d.c. and cincinnati, | 1925 | 1958* row 4 : baltimore and ohio | royal blue | washington, d.c. | 1890 | 1958 row 5 : central railroad of new jersey | blue comet | atlantic city, new jersey | 1929 | 1941 row 6 : reading railroad with the central railroad of new jersey | crusader | philadelphia, pennsylvania | 1937 | 1967 row 7 : reading railroad with the central railroad of new jersey | harrisburg special | harrisburg, pennsylvania | nan | nan row 8 : reading railroad with the central railroad of new jersey | queen of the valley | harrisburg, pennsylvania | nan | 1967 row 9 : reading railroad with the central railroad of new jersey | wall street | philadelphia, pennsylvania | nan | nan row 10 : reading railroad with the central railroad of new jersey | williamsporter | williamsport, pennsylvania | nan | nan
|
table_csv/204_336.csv
| 1 |
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4,
4,
4,
4,
4,
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4,
4,
4,
4
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2,
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4,
5,
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9
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|
[
"what are all of the train names?",
"when were they discontinued?"
] | 0 |
1958*, 1958*, 1958*, 1958, 1941, 1967, , 1967, ,
|
[
"Operators",
"Named trains",
"Destination",
"Year begun",
"Year discontinued"
] |
when were they discontinued?
|
[
[
"Baltimore and Ohio",
"Capitol Limited",
"Chicago, Illinois via Washington, D.C. and Pittsburgh, Pennsylvania",
"1923",
"1958*"
],
[
"Baltimore and Ohio",
"Metropolitan Special",
"St. Louis, Missouri via Washington, D.C. and Cincinnati,",
"ca. 1920",
"1958*"
],
[
"Baltimore and Ohio",
"National Limited",
"St. Louis, Missouri via Washington, D.C. and Cincinnati,",
"1925",
"1958*"
],
[
"Baltimore and Ohio",
"Royal Blue",
"Washington, D.C.",
"1890",
"1958"
],
[
"Central Railroad of New Jersey",
"Blue Comet",
"Atlantic City, New Jersey",
"1929",
"1941"
],
[
"Reading Railroad with the Central Railroad of New Jersey",
"Crusader",
"Philadelphia, Pennsylvania",
"1937",
"1967"
],
[
"Reading Railroad with the Central Railroad of New Jersey",
"Harrisburg Special",
"Harrisburg, Pennsylvania",
"nan",
"nan"
],
[
"Reading Railroad with the Central Railroad of New Jersey",
"Queen of the Valley",
"Harrisburg, Pennsylvania",
"nan",
"1967"
],
[
"Reading Railroad with the Central Railroad of New Jersey",
"Wall Street",
"Philadelphia, Pennsylvania",
"nan",
"nan"
],
[
"Reading Railroad with the Central Railroad of New Jersey",
"Williamsporter",
"Williamsport, Pennsylvania",
"nan",
"nan"
]
] |
[
"1958*",
"1958*",
"1958*",
"1958",
"1941",
"1967",
"",
"1967",
"",
""
] |
when were they discontinued? || what are all of the train names?
|
ns-2315
|
col : operators | named trains | destination | year begun | year discontinued row 1 : baltimore and ohio | capitol limited | chicago, illinois via washington, d.c. and pittsburgh, pennsylvania | 1923 | 1958* row 2 : baltimore and ohio | metropolitan special | st. louis, missouri via washington, d.c. and cincinnati, | ca. 1920 | 1958* row 3 : baltimore and ohio | national limited | st. louis, missouri via washington, d.c. and cincinnati, | 1925 | 1958* row 4 : baltimore and ohio | royal blue | washington, d.c. | 1890 | 1958 row 5 : central railroad of new jersey | blue comet | atlantic city, new jersey | 1929 | 1941 row 6 : reading railroad with the central railroad of new jersey | crusader | philadelphia, pennsylvania | 1937 | 1967 row 7 : reading railroad with the central railroad of new jersey | harrisburg special | harrisburg, pennsylvania | nan | nan row 8 : reading railroad with the central railroad of new jersey | queen of the valley | harrisburg, pennsylvania | nan | 1967 row 9 : reading railroad with the central railroad of new jersey | wall street | philadelphia, pennsylvania | nan | nan row 10 : reading railroad with the central railroad of new jersey | williamsporter | williamsport, pennsylvania | nan | nan
|
table_csv/204_336.csv
| 2 |
{
"column_index": [
1
],
"row_index": [
5
]
}
|
[
"what are all of the train names?",
"when were they discontinued?",
"and which was first discontinued in the 1960s?"
] | 0 |
crusader
|
[
"Operators",
"Named trains",
"Destination",
"Year begun",
"Year discontinued"
] |
and which was first discontinued in the 1960s?
|
[
[
"Baltimore and Ohio",
"Capitol Limited",
"Chicago, Illinois via Washington, D.C. and Pittsburgh, Pennsylvania",
"1923",
"1958*"
],
[
"Baltimore and Ohio",
"Metropolitan Special",
"St. Louis, Missouri via Washington, D.C. and Cincinnati,",
"ca. 1920",
"1958*"
],
[
"Baltimore and Ohio",
"National Limited",
"St. Louis, Missouri via Washington, D.C. and Cincinnati,",
"1925",
"1958*"
],
[
"Baltimore and Ohio",
"Royal Blue",
"Washington, D.C.",
"1890",
"1958"
],
[
"Central Railroad of New Jersey",
"Blue Comet",
"Atlantic City, New Jersey",
"1929",
"1941"
],
[
"Reading Railroad with the Central Railroad of New Jersey",
"Crusader",
"Philadelphia, Pennsylvania",
"1937",
"1967"
],
[
"Reading Railroad with the Central Railroad of New Jersey",
"Harrisburg Special",
"Harrisburg, Pennsylvania",
"nan",
"nan"
],
[
"Reading Railroad with the Central Railroad of New Jersey",
"Queen of the Valley",
"Harrisburg, Pennsylvania",
"nan",
"1967"
],
[
"Reading Railroad with the Central Railroad of New Jersey",
"Wall Street",
"Philadelphia, Pennsylvania",
"nan",
"nan"
],
[
"Reading Railroad with the Central Railroad of New Jersey",
"Williamsporter",
"Williamsport, Pennsylvania",
"nan",
"nan"
]
] |
[
"Crusader"
] |
and which was first discontinued in the 1960s? || when were they discontinued? | what are all of the train names?
|
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