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nt-2184 | col : name | party | took office | left office row 1 : glenlyon campbell | conservative | 1903 | 1908 row 2 : duncan cameron | conservative | 1908 | 1910 row 3 : sam hughes | conservative | 1910 | 1915 row 4 : william findlater | liberal | 1915 | 1922 row 5 : arthur berry | progressive | 1922 | 1932 row 6 : nan | liberal-progressive | 1932 | 1936 row 7 : stanley fox | social credit | 1936 | 1940 row 8 : nan | social credit (coalition) | 1940 | 1949 row 9 : ray mitchell | liberal-progressive | 1949 | 1958 | table_csv/203_345.csv | 2 | {
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"who are all the representatives?",
"which of these are liberal?",
"which of those took office for 7 years ?"
] | 2 | william findlater | [
"Name",
"Party",
"Took Office",
"Left Office"
] | which of those took office for 7 years ? | [
[
"Glenlyon Campbell",
"Conservative",
"1903",
"1908"
],
[
"Duncan Cameron",
"Conservative",
"1908",
"1910"
],
[
"Sam Hughes",
"Conservative",
"1910",
"1915"
],
[
"William Findlater",
"Liberal",
"1915",
"1922"
],
[
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"Progressive",
"1922",
"1932"
],
[
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"Liberal-Progressive",
"1932",
"1936"
],
[
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"Social Credit",
"1936",
"1940"
],
[
"nan",
"Social Credit (Coalition)",
"1940",
"1949"
],
[
"Ray Mitchell",
"Liberal-Progressive",
"1949",
"1958"
]
] | [
"William Findlater"
] | which of those took office for 7 years ? || which of these are liberal? | who are all the representatives? |
nt-10475 | col : opponent | played | won | lost | drawn | % won overall row 1 : australia | 4 | 4 | 0 | 0 | 100% row 2 : canada | 21 | 19 | 2 | 0 | 90.48% row 3 : france | 34 | 24 | 10 | 0 | 70.59% row 4 : germany | 1 | 1 | 0 | 0 | 100% row 5 : ireland | 19 | 18 | 1 | 0 | 94.74% row 6 : italy | 12 | 12 | 0 | 0 | 100% row 7 : kazakhstan | 3 | 3 | 0 | 0 | 100% row 8 : netherlands | 4 | 4 | 0 | 0 | 100% row 9 : new zealand | 22 | 7 | 14 | 1 | 34.09% row 10 : russia | 2 | 2 | 0 | 0 | 100% row 11 : samoa | 1 | 1 | 0 | 0 | 100% row 12 : scotland | 23 | 21 | 2 | 0 | 91.34% row 13 : south africa | 5 | 5 | 0 | 0 | 100% row 14 : spain | 14 | 12 | 1 | 1 | 89.29% row 15 : sweden | 3 | 3 | 0 | 0 | 100% row 16 : united states | 13 | 12 | 1 | 0 | 92.31% row 17 : wales | 30 | 29 | 1 | 0 | 96.67% row 18 : total | 210 | 176 | 32 | 2 | 83.10% | table_csv/203_506.csv | 0 | {
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"what countries are the england women's rfu rated against?"
] | 0 | australia, canada, france, germany, ireland, italy, kazakhstan, netherlands, new zealand, russia, samoa, scotland, south africa, spain, sweden, united states, wales, total | [
"Opponent",
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"Won",
"Lost",
"Drawn",
"% Won Overall"
] | what countries are the england women's rfu rated against? | [
[
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"4",
"4",
"0",
"0",
"100%"
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[
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"21",
"19",
"2",
"0",
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[
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"34",
"24",
"10",
"0",
"70.59%"
],
[
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"1",
"1",
"0",
"0",
"100%"
],
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"19",
"18",
"1",
"0",
"94.74%"
],
[
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"12",
"12",
"0",
"0",
"100%"
],
[
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"3",
"3",
"0",
"0",
"100%"
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[
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"4",
"4",
"0",
"0",
"100%"
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[
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"22",
"7",
"14",
"1",
"34.09%"
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[
"Russia",
"2",
"2",
"0",
"0",
"100%"
],
[
"Samoa",
"1",
"1",
"0",
"0",
"100%"
],
[
"Scotland",
"23",
"21",
"2",
"0",
"91.34%"
],
[
"South Africa",
"5",
"5",
"0",
"0",
"100%"
],
[
"Spain",
"14",
"12",
"1",
"1",
"89.29%"
],
[
"Sweden",
"3",
"3",
"0",
"0",
"100%"
],
[
"United States",
"13",
"12",
"1",
"0",
"92.31%"
],
[
"Wales",
"30",
"29",
"1",
"0",
"96.67%"
],
[
"Total",
"210",
"176",
"32",
"2",
"83.10%"
]
] | [
"Australia",
"Canada",
"France",
"Germany",
"Ireland",
"Italy",
"Kazakhstan",
"Netherlands",
"New Zealand",
"Russia",
"Samoa",
"Scotland",
"South Africa",
"Spain",
"Sweden",
"United States",
"Wales",
"Total"
] | what countries are the england women's rfu rated against? || |
nt-10475 | col : opponent | played | won | lost | drawn | % won overall row 1 : australia | 4 | 4 | 0 | 0 | 100% row 2 : canada | 21 | 19 | 2 | 0 | 90.48% row 3 : france | 34 | 24 | 10 | 0 | 70.59% row 4 : germany | 1 | 1 | 0 | 0 | 100% row 5 : ireland | 19 | 18 | 1 | 0 | 94.74% row 6 : italy | 12 | 12 | 0 | 0 | 100% row 7 : kazakhstan | 3 | 3 | 0 | 0 | 100% row 8 : netherlands | 4 | 4 | 0 | 0 | 100% row 9 : new zealand | 22 | 7 | 14 | 1 | 34.09% row 10 : russia | 2 | 2 | 0 | 0 | 100% row 11 : samoa | 1 | 1 | 0 | 0 | 100% row 12 : scotland | 23 | 21 | 2 | 0 | 91.34% row 13 : south africa | 5 | 5 | 0 | 0 | 100% row 14 : spain | 14 | 12 | 1 | 1 | 89.29% row 15 : sweden | 3 | 3 | 0 | 0 | 100% row 16 : united states | 13 | 12 | 1 | 0 | 92.31% row 17 : wales | 30 | 29 | 1 | 0 | 96.67% row 18 : total | 210 | 176 | 32 | 2 | 83.10% | table_csv/203_506.csv | 1 | {
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"what countries are the england women's rfu rated against?",
"of those, which country did not rate at least 70%"
] | 0 | new zealand | [
"Opponent",
"Played",
"Won",
"Lost",
"Drawn",
"% Won Overall"
] | of those, which country did not rate at least 70% | [
[
"Australia",
"4",
"4",
"0",
"0",
"100%"
],
[
"Canada",
"21",
"19",
"2",
"0",
"90.48%"
],
[
"France",
"34",
"24",
"10",
"0",
"70.59%"
],
[
"Germany",
"1",
"1",
"0",
"0",
"100%"
],
[
"Ireland",
"19",
"18",
"1",
"0",
"94.74%"
],
[
"Italy",
"12",
"12",
"0",
"0",
"100%"
],
[
"Kazakhstan",
"3",
"3",
"0",
"0",
"100%"
],
[
"Netherlands",
"4",
"4",
"0",
"0",
"100%"
],
[
"New Zealand",
"22",
"7",
"14",
"1",
"34.09%"
],
[
"Russia",
"2",
"2",
"0",
"0",
"100%"
],
[
"Samoa",
"1",
"1",
"0",
"0",
"100%"
],
[
"Scotland",
"23",
"21",
"2",
"0",
"91.34%"
],
[
"South Africa",
"5",
"5",
"0",
"0",
"100%"
],
[
"Spain",
"14",
"12",
"1",
"1",
"89.29%"
],
[
"Sweden",
"3",
"3",
"0",
"0",
"100%"
],
[
"United States",
"13",
"12",
"1",
"0",
"92.31%"
],
[
"Wales",
"30",
"29",
"1",
"0",
"96.67%"
],
[
"Total",
"210",
"176",
"32",
"2",
"83.10%"
]
] | [
"New Zealand"
] | of those, which country did not rate at least 70% || what countries are the england women's rfu rated against? |
nt-10475 | col : opponent | played | won | lost | drawn | % won overall row 1 : australia | 4 | 4 | 0 | 0 | 100% row 2 : canada | 21 | 19 | 2 | 0 | 90.48% row 3 : france | 34 | 24 | 10 | 0 | 70.59% row 4 : germany | 1 | 1 | 0 | 0 | 100% row 5 : ireland | 19 | 18 | 1 | 0 | 94.74% row 6 : italy | 12 | 12 | 0 | 0 | 100% row 7 : kazakhstan | 3 | 3 | 0 | 0 | 100% row 8 : netherlands | 4 | 4 | 0 | 0 | 100% row 9 : new zealand | 22 | 7 | 14 | 1 | 34.09% row 10 : russia | 2 | 2 | 0 | 0 | 100% row 11 : samoa | 1 | 1 | 0 | 0 | 100% row 12 : scotland | 23 | 21 | 2 | 0 | 91.34% row 13 : south africa | 5 | 5 | 0 | 0 | 100% row 14 : spain | 14 | 12 | 1 | 1 | 89.29% row 15 : sweden | 3 | 3 | 0 | 0 | 100% row 16 : united states | 13 | 12 | 1 | 0 | 92.31% row 17 : wales | 30 | 29 | 1 | 0 | 96.67% row 18 : total | 210 | 176 | 32 | 2 | 83.10% | table_csv/203_506.csv | 0 | {
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"what are all the countries rated by the england women's rfu?"
] | 1 | australia, canada, france, germany, ireland, italy, kazakhstan, netherlands, new zealand, russia, samoa, scotland, south africa, spain, sweden, united states, wales | [
"Opponent",
"Played",
"Won",
"Lost",
"Drawn",
"% Won Overall"
] | what are all the countries rated by the england women's rfu? | [
[
"Australia",
"4",
"4",
"0",
"0",
"100%"
],
[
"Canada",
"21",
"19",
"2",
"0",
"90.48%"
],
[
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"34",
"24",
"10",
"0",
"70.59%"
],
[
"Germany",
"1",
"1",
"0",
"0",
"100%"
],
[
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"19",
"18",
"1",
"0",
"94.74%"
],
[
"Italy",
"12",
"12",
"0",
"0",
"100%"
],
[
"Kazakhstan",
"3",
"3",
"0",
"0",
"100%"
],
[
"Netherlands",
"4",
"4",
"0",
"0",
"100%"
],
[
"New Zealand",
"22",
"7",
"14",
"1",
"34.09%"
],
[
"Russia",
"2",
"2",
"0",
"0",
"100%"
],
[
"Samoa",
"1",
"1",
"0",
"0",
"100%"
],
[
"Scotland",
"23",
"21",
"2",
"0",
"91.34%"
],
[
"South Africa",
"5",
"5",
"0",
"0",
"100%"
],
[
"Spain",
"14",
"12",
"1",
"1",
"89.29%"
],
[
"Sweden",
"3",
"3",
"0",
"0",
"100%"
],
[
"United States",
"13",
"12",
"1",
"0",
"92.31%"
],
[
"Wales",
"30",
"29",
"1",
"0",
"96.67%"
],
[
"Total",
"210",
"176",
"32",
"2",
"83.10%"
]
] | [
"Australia",
"Canada",
"France",
"Germany",
"Ireland",
"Italy",
"Kazakhstan",
"Netherlands",
"New Zealand",
"Russia",
"Samoa",
"Scotland",
"South Africa",
"Spain",
"Sweden",
"United States",
"Wales"
] | what are all the countries rated by the england women's rfu? || |
nt-10475 | col : opponent | played | won | lost | drawn | % won overall row 1 : australia | 4 | 4 | 0 | 0 | 100% row 2 : canada | 21 | 19 | 2 | 0 | 90.48% row 3 : france | 34 | 24 | 10 | 0 | 70.59% row 4 : germany | 1 | 1 | 0 | 0 | 100% row 5 : ireland | 19 | 18 | 1 | 0 | 94.74% row 6 : italy | 12 | 12 | 0 | 0 | 100% row 7 : kazakhstan | 3 | 3 | 0 | 0 | 100% row 8 : netherlands | 4 | 4 | 0 | 0 | 100% row 9 : new zealand | 22 | 7 | 14 | 1 | 34.09% row 10 : russia | 2 | 2 | 0 | 0 | 100% row 11 : samoa | 1 | 1 | 0 | 0 | 100% row 12 : scotland | 23 | 21 | 2 | 0 | 91.34% row 13 : south africa | 5 | 5 | 0 | 0 | 100% row 14 : spain | 14 | 12 | 1 | 1 | 89.29% row 15 : sweden | 3 | 3 | 0 | 0 | 100% row 16 : united states | 13 | 12 | 1 | 0 | 92.31% row 17 : wales | 30 | 29 | 1 | 0 | 96.67% row 18 : total | 210 | 176 | 32 | 2 | 83.10% | table_csv/203_506.csv | 1 | {
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"what are all the countries rated by the england women's rfu?",
"which ones did not have a 100% overall percentage?"
] | 1 | canada, france, ireland, new zealand, scotland, spain, united states, wales | [
"Opponent",
"Played",
"Won",
"Lost",
"Drawn",
"% Won Overall"
] | which ones did not have a 100% overall percentage? | [
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"Australia",
"4",
"4",
"0",
"0",
"100%"
],
[
"Canada",
"21",
"19",
"2",
"0",
"90.48%"
],
[
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"34",
"24",
"10",
"0",
"70.59%"
],
[
"Germany",
"1",
"1",
"0",
"0",
"100%"
],
[
"Ireland",
"19",
"18",
"1",
"0",
"94.74%"
],
[
"Italy",
"12",
"12",
"0",
"0",
"100%"
],
[
"Kazakhstan",
"3",
"3",
"0",
"0",
"100%"
],
[
"Netherlands",
"4",
"4",
"0",
"0",
"100%"
],
[
"New Zealand",
"22",
"7",
"14",
"1",
"34.09%"
],
[
"Russia",
"2",
"2",
"0",
"0",
"100%"
],
[
"Samoa",
"1",
"1",
"0",
"0",
"100%"
],
[
"Scotland",
"23",
"21",
"2",
"0",
"91.34%"
],
[
"South Africa",
"5",
"5",
"0",
"0",
"100%"
],
[
"Spain",
"14",
"12",
"1",
"1",
"89.29%"
],
[
"Sweden",
"3",
"3",
"0",
"0",
"100%"
],
[
"United States",
"13",
"12",
"1",
"0",
"92.31%"
],
[
"Wales",
"30",
"29",
"1",
"0",
"96.67%"
],
[
"Total",
"210",
"176",
"32",
"2",
"83.10%"
]
] | [
"Canada",
"France",
"Ireland",
"New Zealand",
"Scotland",
"Spain",
"United States",
"Wales"
] | which ones did not have a 100% overall percentage? || what are all the countries rated by the england women's rfu? |
nt-10475 | col : opponent | played | won | lost | drawn | % won overall row 1 : australia | 4 | 4 | 0 | 0 | 100% row 2 : canada | 21 | 19 | 2 | 0 | 90.48% row 3 : france | 34 | 24 | 10 | 0 | 70.59% row 4 : germany | 1 | 1 | 0 | 0 | 100% row 5 : ireland | 19 | 18 | 1 | 0 | 94.74% row 6 : italy | 12 | 12 | 0 | 0 | 100% row 7 : kazakhstan | 3 | 3 | 0 | 0 | 100% row 8 : netherlands | 4 | 4 | 0 | 0 | 100% row 9 : new zealand | 22 | 7 | 14 | 1 | 34.09% row 10 : russia | 2 | 2 | 0 | 0 | 100% row 11 : samoa | 1 | 1 | 0 | 0 | 100% row 12 : scotland | 23 | 21 | 2 | 0 | 91.34% row 13 : south africa | 5 | 5 | 0 | 0 | 100% row 14 : spain | 14 | 12 | 1 | 1 | 89.29% row 15 : sweden | 3 | 3 | 0 | 0 | 100% row 16 : united states | 13 | 12 | 1 | 0 | 92.31% row 17 : wales | 30 | 29 | 1 | 0 | 96.67% row 18 : total | 210 | 176 | 32 | 2 | 83.10% | table_csv/203_506.csv | 2 | {
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"what are all the countries rated by the england women's rfu?",
"which ones did not have a 100% overall percentage?",
"of those, which scored below an overall percentage of 70%?"
] | 1 | new zealand | [
"Opponent",
"Played",
"Won",
"Lost",
"Drawn",
"% Won Overall"
] | of those, which scored below an overall percentage of 70%? | [
[
"Australia",
"4",
"4",
"0",
"0",
"100%"
],
[
"Canada",
"21",
"19",
"2",
"0",
"90.48%"
],
[
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"34",
"24",
"10",
"0",
"70.59%"
],
[
"Germany",
"1",
"1",
"0",
"0",
"100%"
],
[
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"19",
"18",
"1",
"0",
"94.74%"
],
[
"Italy",
"12",
"12",
"0",
"0",
"100%"
],
[
"Kazakhstan",
"3",
"3",
"0",
"0",
"100%"
],
[
"Netherlands",
"4",
"4",
"0",
"0",
"100%"
],
[
"New Zealand",
"22",
"7",
"14",
"1",
"34.09%"
],
[
"Russia",
"2",
"2",
"0",
"0",
"100%"
],
[
"Samoa",
"1",
"1",
"0",
"0",
"100%"
],
[
"Scotland",
"23",
"21",
"2",
"0",
"91.34%"
],
[
"South Africa",
"5",
"5",
"0",
"0",
"100%"
],
[
"Spain",
"14",
"12",
"1",
"1",
"89.29%"
],
[
"Sweden",
"3",
"3",
"0",
"0",
"100%"
],
[
"United States",
"13",
"12",
"1",
"0",
"92.31%"
],
[
"Wales",
"30",
"29",
"1",
"0",
"96.67%"
],
[
"Total",
"210",
"176",
"32",
"2",
"83.10%"
]
] | [
"New Zealand"
] | of those, which scored below an overall percentage of 70%? || which ones did not have a 100% overall percentage? | what are all the countries rated by the england women's rfu? |
nt-10475 | col : opponent | played | won | lost | drawn | % won overall row 1 : australia | 4 | 4 | 0 | 0 | 100% row 2 : canada | 21 | 19 | 2 | 0 | 90.48% row 3 : france | 34 | 24 | 10 | 0 | 70.59% row 4 : germany | 1 | 1 | 0 | 0 | 100% row 5 : ireland | 19 | 18 | 1 | 0 | 94.74% row 6 : italy | 12 | 12 | 0 | 0 | 100% row 7 : kazakhstan | 3 | 3 | 0 | 0 | 100% row 8 : netherlands | 4 | 4 | 0 | 0 | 100% row 9 : new zealand | 22 | 7 | 14 | 1 | 34.09% row 10 : russia | 2 | 2 | 0 | 0 | 100% row 11 : samoa | 1 | 1 | 0 | 0 | 100% row 12 : scotland | 23 | 21 | 2 | 0 | 91.34% row 13 : south africa | 5 | 5 | 0 | 0 | 100% row 14 : spain | 14 | 12 | 1 | 1 | 89.29% row 15 : sweden | 3 | 3 | 0 | 0 | 100% row 16 : united states | 13 | 12 | 1 | 0 | 92.31% row 17 : wales | 30 | 29 | 1 | 0 | 96.67% row 18 : total | 210 | 176 | 32 | 2 | 83.10% | table_csv/203_506.csv | 0 | {
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"by what percent did australia win the england women's national rugby union team?"
] | 2 | 100% | [
"Opponent",
"Played",
"Won",
"Lost",
"Drawn",
"% Won Overall"
] | by what percent did australia win the england women's national rugby union team? | [
[
"Australia",
"4",
"4",
"0",
"0",
"100%"
],
[
"Canada",
"21",
"19",
"2",
"0",
"90.48%"
],
[
"France",
"34",
"24",
"10",
"0",
"70.59%"
],
[
"Germany",
"1",
"1",
"0",
"0",
"100%"
],
[
"Ireland",
"19",
"18",
"1",
"0",
"94.74%"
],
[
"Italy",
"12",
"12",
"0",
"0",
"100%"
],
[
"Kazakhstan",
"3",
"3",
"0",
"0",
"100%"
],
[
"Netherlands",
"4",
"4",
"0",
"0",
"100%"
],
[
"New Zealand",
"22",
"7",
"14",
"1",
"34.09%"
],
[
"Russia",
"2",
"2",
"0",
"0",
"100%"
],
[
"Samoa",
"1",
"1",
"0",
"0",
"100%"
],
[
"Scotland",
"23",
"21",
"2",
"0",
"91.34%"
],
[
"South Africa",
"5",
"5",
"0",
"0",
"100%"
],
[
"Spain",
"14",
"12",
"1",
"1",
"89.29%"
],
[
"Sweden",
"3",
"3",
"0",
"0",
"100%"
],
[
"United States",
"13",
"12",
"1",
"0",
"92.31%"
],
[
"Wales",
"30",
"29",
"1",
"0",
"96.67%"
],
[
"Total",
"210",
"176",
"32",
"2",
"83.10%"
]
] | [
"100%"
] | by what percent did australia win the england women's national rugby union team? || |
nt-10475 | col : opponent | played | won | lost | drawn | % won overall row 1 : australia | 4 | 4 | 0 | 0 | 100% row 2 : canada | 21 | 19 | 2 | 0 | 90.48% row 3 : france | 34 | 24 | 10 | 0 | 70.59% row 4 : germany | 1 | 1 | 0 | 0 | 100% row 5 : ireland | 19 | 18 | 1 | 0 | 94.74% row 6 : italy | 12 | 12 | 0 | 0 | 100% row 7 : kazakhstan | 3 | 3 | 0 | 0 | 100% row 8 : netherlands | 4 | 4 | 0 | 0 | 100% row 9 : new zealand | 22 | 7 | 14 | 1 | 34.09% row 10 : russia | 2 | 2 | 0 | 0 | 100% row 11 : samoa | 1 | 1 | 0 | 0 | 100% row 12 : scotland | 23 | 21 | 2 | 0 | 91.34% row 13 : south africa | 5 | 5 | 0 | 0 | 100% row 14 : spain | 14 | 12 | 1 | 1 | 89.29% row 15 : sweden | 3 | 3 | 0 | 0 | 100% row 16 : united states | 13 | 12 | 1 | 0 | 92.31% row 17 : wales | 30 | 29 | 1 | 0 | 96.67% row 18 : total | 210 | 176 | 32 | 2 | 83.10% | table_csv/203_506.csv | 1 | {
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3
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"row_index": [
7
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} | [
"by what percent did australia win the england women's national rugby union team?",
"how many did the netherlands loose?"
] | 2 | 0 | [
"Opponent",
"Played",
"Won",
"Lost",
"Drawn",
"% Won Overall"
] | how many did the netherlands loose? | [
[
"Australia",
"4",
"4",
"0",
"0",
"100%"
],
[
"Canada",
"21",
"19",
"2",
"0",
"90.48%"
],
[
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"34",
"24",
"10",
"0",
"70.59%"
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[
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"1",
"0",
"0",
"100%"
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"19",
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"94.74%"
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[
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"12",
"12",
"0",
"0",
"100%"
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[
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"3",
"3",
"0",
"0",
"100%"
],
[
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"4",
"4",
"0",
"0",
"100%"
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[
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"22",
"7",
"14",
"1",
"34.09%"
],
[
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"2",
"2",
"0",
"0",
"100%"
],
[
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"1",
"1",
"0",
"0",
"100%"
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"23",
"21",
"2",
"0",
"91.34%"
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"5",
"0",
"0",
"100%"
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"1",
"1",
"89.29%"
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"3",
"3",
"0",
"0",
"100%"
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[
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"13",
"12",
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"0",
"92.31%"
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"29",
"1",
"0",
"96.67%"
],
[
"Total",
"210",
"176",
"32",
"2",
"83.10%"
]
] | [
"0"
] | how many did the netherlands loose? || by what percent did australia win the england women's national rugby union team? |
nt-10475 | col : opponent | played | won | lost | drawn | % won overall row 1 : australia | 4 | 4 | 0 | 0 | 100% row 2 : canada | 21 | 19 | 2 | 0 | 90.48% row 3 : france | 34 | 24 | 10 | 0 | 70.59% row 4 : germany | 1 | 1 | 0 | 0 | 100% row 5 : ireland | 19 | 18 | 1 | 0 | 94.74% row 6 : italy | 12 | 12 | 0 | 0 | 100% row 7 : kazakhstan | 3 | 3 | 0 | 0 | 100% row 8 : netherlands | 4 | 4 | 0 | 0 | 100% row 9 : new zealand | 22 | 7 | 14 | 1 | 34.09% row 10 : russia | 2 | 2 | 0 | 0 | 100% row 11 : samoa | 1 | 1 | 0 | 0 | 100% row 12 : scotland | 23 | 21 | 2 | 0 | 91.34% row 13 : south africa | 5 | 5 | 0 | 0 | 100% row 14 : spain | 14 | 12 | 1 | 1 | 89.29% row 15 : sweden | 3 | 3 | 0 | 0 | 100% row 16 : united states | 13 | 12 | 1 | 0 | 92.31% row 17 : wales | 30 | 29 | 1 | 0 | 96.67% row 18 : total | 210 | 176 | 32 | 2 | 83.10% | table_csv/203_506.csv | 2 | {
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} | [
"by what percent did australia win the england women's national rugby union team?",
"how many did the netherlands loose?",
"which country did not rate an overall percentage of at least 70%?"
] | 2 | new zealand | [
"Opponent",
"Played",
"Won",
"Lost",
"Drawn",
"% Won Overall"
] | which country did not rate an overall percentage of at least 70%? | [
[
"Australia",
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"4",
"0",
"0",
"100%"
],
[
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"21",
"19",
"2",
"0",
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"24",
"10",
"0",
"70.59%"
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[
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"1",
"0",
"0",
"100%"
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[
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"19",
"18",
"1",
"0",
"94.74%"
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[
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"12",
"12",
"0",
"0",
"100%"
],
[
"Kazakhstan",
"3",
"3",
"0",
"0",
"100%"
],
[
"Netherlands",
"4",
"4",
"0",
"0",
"100%"
],
[
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"22",
"7",
"14",
"1",
"34.09%"
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[
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"2",
"2",
"0",
"0",
"100%"
],
[
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"1",
"1",
"0",
"0",
"100%"
],
[
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"23",
"21",
"2",
"0",
"91.34%"
],
[
"South Africa",
"5",
"5",
"0",
"0",
"100%"
],
[
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"14",
"12",
"1",
"1",
"89.29%"
],
[
"Sweden",
"3",
"3",
"0",
"0",
"100%"
],
[
"United States",
"13",
"12",
"1",
"0",
"92.31%"
],
[
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"30",
"29",
"1",
"0",
"96.67%"
],
[
"Total",
"210",
"176",
"32",
"2",
"83.10%"
]
] | [
"New Zealand"
] | which country did not rate an overall percentage of at least 70%? || how many did the netherlands loose? | by what percent did australia win the england women's national rugby union team? |
nt-10473 | col : # | date | venue | opponent | score | result | competition row 1 : 1.0 | 24 december 2005 | phang nga, thailand | latvia | 1-1 | draw | 2005 king's cup row 2 : 2.0 | 26 march 2006 | chonburi, thailand | philippines | 5-0 | win | friendly row 3 : 3.0 | 26 march 2006 | chonburi, thailand | philippines | 5-0 | win | friendly row 4 : 4.0 | 8 october 2007 | bangkok, thailand | macau | 6-1 | win | 2010 fifa world cup qualification row 5 : 5.0 | 6 february 2008 | saitama, japan | japan | 4-1 | loss | 2010 fifa world cup qualification row 6 : 6.0 | 15 march 2008 | kunming, china | china pr | 3-3 | draw | friendly row 7 : 7.0 | 15 march 2008 | kunming, china | china pr | 3-3 | draw | friendly row 8 : 8.0 | 20 may 2008 | bangkok, thailand | nepal | 7-0 | win | friendly row 9 : 9.0 | 20 may 2008 | bangkok, thailand | nepal | 7-0 | win | friendly row 10 : 10.0 | 25 may 2008 | bangkok, thailand | iraq | 2-1 | win | friendly row 11 : 11.0 | 2 june 2008 | bangkok, thailand | bahrain | 2-3 | loss | 2010 fifa world cup qualification row 12 : 12.0 | 20 december 2008 | bangkok, thailand | indonesia | 2-1 | win | 2008 aff suzuki cup row 13 : 13.0 | 18 july 2009 | bangkok, thailand | pakistan | 4-0 | win | friendly row 14 : 14.0 | 8 november 2009 | bangkok, thailand | syria | 1-1 | draw | friendly row 15 : 15.0 | 8 september 2010 | new delhi, india | india | 2-1 | win | friendly row 16 : 16.0 | 15 january 2012 | bangkok, thailand | south korea | 1-3 | loss | 2012 king's cup row 17 : 17.0 | 26 january 2013 | chiangmai, thailand | north korea | 2-2 | draw | 2013 king's cup row 18 : 18.0 | 5 march 2014 | bangkok, thailand | lebanon | 2-5 | loss | 2015 afc asian cup qualification | table_csv/203_14.csv | 0 | {
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"who are all of the opponents?"
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"Date",
"Venue",
"Opponent",
"Score",
"Result",
"Competition"
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[
"1.0",
"24 December 2005",
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"Latvia",
"1-1",
"Draw",
"2005 King's Cup"
],
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"2.0",
"26 March 2006",
"Chonburi, Thailand",
"Philippines",
"5-0",
"Win",
"Friendly"
],
[
"3.0",
"26 March 2006",
"Chonburi, Thailand",
"Philippines",
"5-0",
"Win",
"Friendly"
],
[
"4.0",
"8 October 2007",
"Bangkok, Thailand",
"Macau",
"6-1",
"Win",
"2010 FIFA World Cup Qualification"
],
[
"5.0",
"6 February 2008",
"Saitama, Japan",
"Japan",
"4-1",
"Loss",
"2010 FIFA World Cup Qualification"
],
[
"6.0",
"15 March 2008",
"Kunming, China",
"China PR",
"3-3",
"Draw",
"Friendly"
],
[
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"15 March 2008",
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"China PR",
"3-3",
"Draw",
"Friendly"
],
[
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"20 May 2008",
"Bangkok, Thailand",
"Nepal",
"7-0",
"Win",
"Friendly"
],
[
"9.0",
"20 May 2008",
"Bangkok, Thailand",
"Nepal",
"7-0",
"Win",
"Friendly"
],
[
"10.0",
"25 May 2008",
"Bangkok, Thailand",
"Iraq",
"2-1",
"Win",
"Friendly"
],
[
"11.0",
"2 June 2008",
"Bangkok, Thailand",
"Bahrain",
"2-3",
"Loss",
"2010 FIFA World Cup Qualification"
],
[
"12.0",
"20 December 2008",
"Bangkok, Thailand",
"Indonesia",
"2-1",
"Win",
"2008 AFF Suzuki Cup"
],
[
"13.0",
"18 July 2009",
"Bangkok, Thailand",
"Pakistan",
"4-0",
"Win",
"Friendly"
],
[
"14.0",
"8 November 2009",
"Bangkok, Thailand",
"Syria",
"1-1",
"Draw",
"Friendly"
],
[
"15.0",
"8 September 2010",
"New Delhi, India",
"India",
"2-1",
"Win",
"Friendly"
],
[
"16.0",
"15 January 2012",
"Bangkok, Thailand",
"South Korea",
"1-3",
"Loss",
"2012 King's Cup"
],
[
"17.0",
"26 January 2013",
"Chiangmai, Thailand",
"North Korea",
"2-2",
"Draw",
"2013 King's Cup"
],
[
"18.0",
"5 March 2014",
"Bangkok, Thailand",
"Lebanon",
"2-5",
"Loss",
"2015 AFC Asian Cup qualification"
]
] | [
"Latvia",
"Philippines",
"Philippines",
"Macau",
"Japan",
"China PR",
"China PR",
"Nepal",
"Nepal",
"Iraq",
"Bahrain",
"Indonesia",
"Pakistan",
"Syria",
"India",
"South Korea",
"North Korea",
"Lebanon"
] | who are all of the opponents? || |
nt-10473 | col : # | date | venue | opponent | score | result | competition row 1 : 1.0 | 24 december 2005 | phang nga, thailand | latvia | 1-1 | draw | 2005 king's cup row 2 : 2.0 | 26 march 2006 | chonburi, thailand | philippines | 5-0 | win | friendly row 3 : 3.0 | 26 march 2006 | chonburi, thailand | philippines | 5-0 | win | friendly row 4 : 4.0 | 8 october 2007 | bangkok, thailand | macau | 6-1 | win | 2010 fifa world cup qualification row 5 : 5.0 | 6 february 2008 | saitama, japan | japan | 4-1 | loss | 2010 fifa world cup qualification row 6 : 6.0 | 15 march 2008 | kunming, china | china pr | 3-3 | draw | friendly row 7 : 7.0 | 15 march 2008 | kunming, china | china pr | 3-3 | draw | friendly row 8 : 8.0 | 20 may 2008 | bangkok, thailand | nepal | 7-0 | win | friendly row 9 : 9.0 | 20 may 2008 | bangkok, thailand | nepal | 7-0 | win | friendly row 10 : 10.0 | 25 may 2008 | bangkok, thailand | iraq | 2-1 | win | friendly row 11 : 11.0 | 2 june 2008 | bangkok, thailand | bahrain | 2-3 | loss | 2010 fifa world cup qualification row 12 : 12.0 | 20 december 2008 | bangkok, thailand | indonesia | 2-1 | win | 2008 aff suzuki cup row 13 : 13.0 | 18 july 2009 | bangkok, thailand | pakistan | 4-0 | win | friendly row 14 : 14.0 | 8 november 2009 | bangkok, thailand | syria | 1-1 | draw | friendly row 15 : 15.0 | 8 september 2010 | new delhi, india | india | 2-1 | win | friendly row 16 : 16.0 | 15 january 2012 | bangkok, thailand | south korea | 1-3 | loss | 2012 king's cup row 17 : 17.0 | 26 january 2013 | chiangmai, thailand | north korea | 2-2 | draw | 2013 king's cup row 18 : 18.0 | 5 march 2014 | bangkok, thailand | lebanon | 2-5 | loss | 2015 afc asian cup qualification | table_csv/203_14.csv | 1 | {
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"who are all of the opponents?",
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] | 0 | draw, win, win, win, loss, draw, draw, win, win, win, loss, win, win, draw, win, loss, draw, loss | [
"#",
"Date",
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"Opponent",
"Score",
"Result",
"Competition"
] | what were the results? | [
[
"1.0",
"24 December 2005",
"Phang Nga, Thailand",
"Latvia",
"1-1",
"Draw",
"2005 King's Cup"
],
[
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],
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"26 March 2006",
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"5-0",
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"Friendly"
],
[
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"8 October 2007",
"Bangkok, Thailand",
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"6-1",
"Win",
"2010 FIFA World Cup Qualification"
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"4-1",
"Loss",
"2010 FIFA World Cup Qualification"
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"3-3",
"Draw",
"Friendly"
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"15 March 2008",
"Kunming, China",
"China PR",
"3-3",
"Draw",
"Friendly"
],
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"8.0",
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"Bangkok, Thailand",
"Nepal",
"7-0",
"Win",
"Friendly"
],
[
"9.0",
"20 May 2008",
"Bangkok, Thailand",
"Nepal",
"7-0",
"Win",
"Friendly"
],
[
"10.0",
"25 May 2008",
"Bangkok, Thailand",
"Iraq",
"2-1",
"Win",
"Friendly"
],
[
"11.0",
"2 June 2008",
"Bangkok, Thailand",
"Bahrain",
"2-3",
"Loss",
"2010 FIFA World Cup Qualification"
],
[
"12.0",
"20 December 2008",
"Bangkok, Thailand",
"Indonesia",
"2-1",
"Win",
"2008 AFF Suzuki Cup"
],
[
"13.0",
"18 July 2009",
"Bangkok, Thailand",
"Pakistan",
"4-0",
"Win",
"Friendly"
],
[
"14.0",
"8 November 2009",
"Bangkok, Thailand",
"Syria",
"1-1",
"Draw",
"Friendly"
],
[
"15.0",
"8 September 2010",
"New Delhi, India",
"India",
"2-1",
"Win",
"Friendly"
],
[
"16.0",
"15 January 2012",
"Bangkok, Thailand",
"South Korea",
"1-3",
"Loss",
"2012 King's Cup"
],
[
"17.0",
"26 January 2013",
"Chiangmai, Thailand",
"North Korea",
"2-2",
"Draw",
"2013 King's Cup"
],
[
"18.0",
"5 March 2014",
"Bangkok, Thailand",
"Lebanon",
"2-5",
"Loss",
"2015 AFC Asian Cup qualification"
]
] | [
"Draw",
"Win",
"Win",
"Win",
"Loss",
"Draw",
"Draw",
"Win",
"Win",
"Win",
"Loss",
"Win",
"Win",
"Draw",
"Win",
"Loss",
"Draw",
"Loss"
] | what were the results? || who are all of the opponents? |
nt-10473 | col : # | date | venue | opponent | score | result | competition row 1 : 1.0 | 24 december 2005 | phang nga, thailand | latvia | 1-1 | draw | 2005 king's cup row 2 : 2.0 | 26 march 2006 | chonburi, thailand | philippines | 5-0 | win | friendly row 3 : 3.0 | 26 march 2006 | chonburi, thailand | philippines | 5-0 | win | friendly row 4 : 4.0 | 8 october 2007 | bangkok, thailand | macau | 6-1 | win | 2010 fifa world cup qualification row 5 : 5.0 | 6 february 2008 | saitama, japan | japan | 4-1 | loss | 2010 fifa world cup qualification row 6 : 6.0 | 15 march 2008 | kunming, china | china pr | 3-3 | draw | friendly row 7 : 7.0 | 15 march 2008 | kunming, china | china pr | 3-3 | draw | friendly row 8 : 8.0 | 20 may 2008 | bangkok, thailand | nepal | 7-0 | win | friendly row 9 : 9.0 | 20 may 2008 | bangkok, thailand | nepal | 7-0 | win | friendly row 10 : 10.0 | 25 may 2008 | bangkok, thailand | iraq | 2-1 | win | friendly row 11 : 11.0 | 2 june 2008 | bangkok, thailand | bahrain | 2-3 | loss | 2010 fifa world cup qualification row 12 : 12.0 | 20 december 2008 | bangkok, thailand | indonesia | 2-1 | win | 2008 aff suzuki cup row 13 : 13.0 | 18 july 2009 | bangkok, thailand | pakistan | 4-0 | win | friendly row 14 : 14.0 | 8 november 2009 | bangkok, thailand | syria | 1-1 | draw | friendly row 15 : 15.0 | 8 september 2010 | new delhi, india | india | 2-1 | win | friendly row 16 : 16.0 | 15 january 2012 | bangkok, thailand | south korea | 1-3 | loss | 2012 king's cup row 17 : 17.0 | 26 january 2013 | chiangmai, thailand | north korea | 2-2 | draw | 2013 king's cup row 18 : 18.0 | 5 march 2014 | bangkok, thailand | lebanon | 2-5 | loss | 2015 afc asian cup qualification | table_csv/203_14.csv | 2 | {
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5
],
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]
} | [
"who are all of the opponents?",
"what were the results?",
"what about just between north korea and south korea?"
] | 0 | loss, draw | [
"#",
"Date",
"Venue",
"Opponent",
"Score",
"Result",
"Competition"
] | what about just between north korea and south korea? | [
[
"1.0",
"24 December 2005",
"Phang Nga, Thailand",
"Latvia",
"1-1",
"Draw",
"2005 King's Cup"
],
[
"2.0",
"26 March 2006",
"Chonburi, Thailand",
"Philippines",
"5-0",
"Win",
"Friendly"
],
[
"3.0",
"26 March 2006",
"Chonburi, Thailand",
"Philippines",
"5-0",
"Win",
"Friendly"
],
[
"4.0",
"8 October 2007",
"Bangkok, Thailand",
"Macau",
"6-1",
"Win",
"2010 FIFA World Cup Qualification"
],
[
"5.0",
"6 February 2008",
"Saitama, Japan",
"Japan",
"4-1",
"Loss",
"2010 FIFA World Cup Qualification"
],
[
"6.0",
"15 March 2008",
"Kunming, China",
"China PR",
"3-3",
"Draw",
"Friendly"
],
[
"7.0",
"15 March 2008",
"Kunming, China",
"China PR",
"3-3",
"Draw",
"Friendly"
],
[
"8.0",
"20 May 2008",
"Bangkok, Thailand",
"Nepal",
"7-0",
"Win",
"Friendly"
],
[
"9.0",
"20 May 2008",
"Bangkok, Thailand",
"Nepal",
"7-0",
"Win",
"Friendly"
],
[
"10.0",
"25 May 2008",
"Bangkok, Thailand",
"Iraq",
"2-1",
"Win",
"Friendly"
],
[
"11.0",
"2 June 2008",
"Bangkok, Thailand",
"Bahrain",
"2-3",
"Loss",
"2010 FIFA World Cup Qualification"
],
[
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"20 December 2008",
"Bangkok, Thailand",
"Indonesia",
"2-1",
"Win",
"2008 AFF Suzuki Cup"
],
[
"13.0",
"18 July 2009",
"Bangkok, Thailand",
"Pakistan",
"4-0",
"Win",
"Friendly"
],
[
"14.0",
"8 November 2009",
"Bangkok, Thailand",
"Syria",
"1-1",
"Draw",
"Friendly"
],
[
"15.0",
"8 September 2010",
"New Delhi, India",
"India",
"2-1",
"Win",
"Friendly"
],
[
"16.0",
"15 January 2012",
"Bangkok, Thailand",
"South Korea",
"1-3",
"Loss",
"2012 King's Cup"
],
[
"17.0",
"26 January 2013",
"Chiangmai, Thailand",
"North Korea",
"2-2",
"Draw",
"2013 King's Cup"
],
[
"18.0",
"5 March 2014",
"Bangkok, Thailand",
"Lebanon",
"2-5",
"Loss",
"2015 AFC Asian Cup qualification"
]
] | [
"Loss",
"Draw"
] | what about just between north korea and south korea? || what were the results? | who are all of the opponents? |
nt-10473 | col : # | date | venue | opponent | score | result | competition row 1 : 1.0 | 24 december 2005 | phang nga, thailand | latvia | 1-1 | draw | 2005 king's cup row 2 : 2.0 | 26 march 2006 | chonburi, thailand | philippines | 5-0 | win | friendly row 3 : 3.0 | 26 march 2006 | chonburi, thailand | philippines | 5-0 | win | friendly row 4 : 4.0 | 8 october 2007 | bangkok, thailand | macau | 6-1 | win | 2010 fifa world cup qualification row 5 : 5.0 | 6 february 2008 | saitama, japan | japan | 4-1 | loss | 2010 fifa world cup qualification row 6 : 6.0 | 15 march 2008 | kunming, china | china pr | 3-3 | draw | friendly row 7 : 7.0 | 15 march 2008 | kunming, china | china pr | 3-3 | draw | friendly row 8 : 8.0 | 20 may 2008 | bangkok, thailand | nepal | 7-0 | win | friendly row 9 : 9.0 | 20 may 2008 | bangkok, thailand | nepal | 7-0 | win | friendly row 10 : 10.0 | 25 may 2008 | bangkok, thailand | iraq | 2-1 | win | friendly row 11 : 11.0 | 2 june 2008 | bangkok, thailand | bahrain | 2-3 | loss | 2010 fifa world cup qualification row 12 : 12.0 | 20 december 2008 | bangkok, thailand | indonesia | 2-1 | win | 2008 aff suzuki cup row 13 : 13.0 | 18 july 2009 | bangkok, thailand | pakistan | 4-0 | win | friendly row 14 : 14.0 | 8 november 2009 | bangkok, thailand | syria | 1-1 | draw | friendly row 15 : 15.0 | 8 september 2010 | new delhi, india | india | 2-1 | win | friendly row 16 : 16.0 | 15 january 2012 | bangkok, thailand | south korea | 1-3 | loss | 2012 king's cup row 17 : 17.0 | 26 january 2013 | chiangmai, thailand | north korea | 2-2 | draw | 2013 king's cup row 18 : 18.0 | 5 march 2014 | bangkok, thailand | lebanon | 2-5 | loss | 2015 afc asian cup qualification | table_csv/203_14.csv | 3 | {
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"who are all of the opponents?",
"what were the results?",
"what about just between north korea and south korea?",
"which of the two had a draw?"
] | 0 | north korea | [
"#",
"Date",
"Venue",
"Opponent",
"Score",
"Result",
"Competition"
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"24 December 2005",
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"Latvia",
"1-1",
"Draw",
"2005 King's Cup"
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[
"2.0",
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[
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"Chonburi, Thailand",
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"5-0",
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[
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"6-1",
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[
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"Japan",
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[
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[
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[
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[
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[
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"2-1",
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[
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[
"18.0",
"5 March 2014",
"Bangkok, Thailand",
"Lebanon",
"2-5",
"Loss",
"2015 AFC Asian Cup qualification"
]
] | [
"North Korea"
] | which of the two had a draw? || what about just between north korea and south korea? | what were the results? | who are all of the opponents? |
nt-10473 | col : # | date | venue | opponent | score | result | competition row 1 : 1.0 | 24 december 2005 | phang nga, thailand | latvia | 1-1 | draw | 2005 king's cup row 2 : 2.0 | 26 march 2006 | chonburi, thailand | philippines | 5-0 | win | friendly row 3 : 3.0 | 26 march 2006 | chonburi, thailand | philippines | 5-0 | win | friendly row 4 : 4.0 | 8 october 2007 | bangkok, thailand | macau | 6-1 | win | 2010 fifa world cup qualification row 5 : 5.0 | 6 february 2008 | saitama, japan | japan | 4-1 | loss | 2010 fifa world cup qualification row 6 : 6.0 | 15 march 2008 | kunming, china | china pr | 3-3 | draw | friendly row 7 : 7.0 | 15 march 2008 | kunming, china | china pr | 3-3 | draw | friendly row 8 : 8.0 | 20 may 2008 | bangkok, thailand | nepal | 7-0 | win | friendly row 9 : 9.0 | 20 may 2008 | bangkok, thailand | nepal | 7-0 | win | friendly row 10 : 10.0 | 25 may 2008 | bangkok, thailand | iraq | 2-1 | win | friendly row 11 : 11.0 | 2 june 2008 | bangkok, thailand | bahrain | 2-3 | loss | 2010 fifa world cup qualification row 12 : 12.0 | 20 december 2008 | bangkok, thailand | indonesia | 2-1 | win | 2008 aff suzuki cup row 13 : 13.0 | 18 july 2009 | bangkok, thailand | pakistan | 4-0 | win | friendly row 14 : 14.0 | 8 november 2009 | bangkok, thailand | syria | 1-1 | draw | friendly row 15 : 15.0 | 8 september 2010 | new delhi, india | india | 2-1 | win | friendly row 16 : 16.0 | 15 january 2012 | bangkok, thailand | south korea | 1-3 | loss | 2012 king's cup row 17 : 17.0 | 26 january 2013 | chiangmai, thailand | north korea | 2-2 | draw | 2013 king's cup row 18 : 18.0 | 5 march 2014 | bangkok, thailand | lebanon | 2-5 | loss | 2015 afc asian cup qualification | table_csv/203_14.csv | 0 | {
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"who were all of the opponents?"
] | 1 | latvia, philippines, macau, japan, china pr, nepal, iraq, bahrain, indonesia, pakistan, syria, india, south korea, north korea, lebanon | [
"#",
"Date",
"Venue",
"Opponent",
"Score",
"Result",
"Competition"
] | who were all of the opponents? | [
[
"1.0",
"24 December 2005",
"Phang Nga, Thailand",
"Latvia",
"1-1",
"Draw",
"2005 King's Cup"
],
[
"2.0",
"26 March 2006",
"Chonburi, Thailand",
"Philippines",
"5-0",
"Win",
"Friendly"
],
[
"3.0",
"26 March 2006",
"Chonburi, Thailand",
"Philippines",
"5-0",
"Win",
"Friendly"
],
[
"4.0",
"8 October 2007",
"Bangkok, Thailand",
"Macau",
"6-1",
"Win",
"2010 FIFA World Cup Qualification"
],
[
"5.0",
"6 February 2008",
"Saitama, Japan",
"Japan",
"4-1",
"Loss",
"2010 FIFA World Cup Qualification"
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[
"6.0",
"15 March 2008",
"Kunming, China",
"China PR",
"3-3",
"Draw",
"Friendly"
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[
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"Kunming, China",
"China PR",
"3-3",
"Draw",
"Friendly"
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[
"8.0",
"20 May 2008",
"Bangkok, Thailand",
"Nepal",
"7-0",
"Win",
"Friendly"
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[
"9.0",
"20 May 2008",
"Bangkok, Thailand",
"Nepal",
"7-0",
"Win",
"Friendly"
],
[
"10.0",
"25 May 2008",
"Bangkok, Thailand",
"Iraq",
"2-1",
"Win",
"Friendly"
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[
"11.0",
"2 June 2008",
"Bangkok, Thailand",
"Bahrain",
"2-3",
"Loss",
"2010 FIFA World Cup Qualification"
],
[
"12.0",
"20 December 2008",
"Bangkok, Thailand",
"Indonesia",
"2-1",
"Win",
"2008 AFF Suzuki Cup"
],
[
"13.0",
"18 July 2009",
"Bangkok, Thailand",
"Pakistan",
"4-0",
"Win",
"Friendly"
],
[
"14.0",
"8 November 2009",
"Bangkok, Thailand",
"Syria",
"1-1",
"Draw",
"Friendly"
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[
"15.0",
"8 September 2010",
"New Delhi, India",
"India",
"2-1",
"Win",
"Friendly"
],
[
"16.0",
"15 January 2012",
"Bangkok, Thailand",
"South Korea",
"1-3",
"Loss",
"2012 King's Cup"
],
[
"17.0",
"26 January 2013",
"Chiangmai, Thailand",
"North Korea",
"2-2",
"Draw",
"2013 King's Cup"
],
[
"18.0",
"5 March 2014",
"Bangkok, Thailand",
"Lebanon",
"2-5",
"Loss",
"2015 AFC Asian Cup qualification"
]
] | [
"Latvia",
"Philippines",
"Macau",
"Japan",
"China PR",
"Nepal",
"Iraq",
"Bahrain",
"Indonesia",
"Pakistan",
"Syria",
"India",
"South Korea",
"North Korea",
"Lebanon"
] | who were all of the opponents? || |
nt-10473 | col : # | date | venue | opponent | score | result | competition row 1 : 1.0 | 24 december 2005 | phang nga, thailand | latvia | 1-1 | draw | 2005 king's cup row 2 : 2.0 | 26 march 2006 | chonburi, thailand | philippines | 5-0 | win | friendly row 3 : 3.0 | 26 march 2006 | chonburi, thailand | philippines | 5-0 | win | friendly row 4 : 4.0 | 8 october 2007 | bangkok, thailand | macau | 6-1 | win | 2010 fifa world cup qualification row 5 : 5.0 | 6 february 2008 | saitama, japan | japan | 4-1 | loss | 2010 fifa world cup qualification row 6 : 6.0 | 15 march 2008 | kunming, china | china pr | 3-3 | draw | friendly row 7 : 7.0 | 15 march 2008 | kunming, china | china pr | 3-3 | draw | friendly row 8 : 8.0 | 20 may 2008 | bangkok, thailand | nepal | 7-0 | win | friendly row 9 : 9.0 | 20 may 2008 | bangkok, thailand | nepal | 7-0 | win | friendly row 10 : 10.0 | 25 may 2008 | bangkok, thailand | iraq | 2-1 | win | friendly row 11 : 11.0 | 2 june 2008 | bangkok, thailand | bahrain | 2-3 | loss | 2010 fifa world cup qualification row 12 : 12.0 | 20 december 2008 | bangkok, thailand | indonesia | 2-1 | win | 2008 aff suzuki cup row 13 : 13.0 | 18 july 2009 | bangkok, thailand | pakistan | 4-0 | win | friendly row 14 : 14.0 | 8 november 2009 | bangkok, thailand | syria | 1-1 | draw | friendly row 15 : 15.0 | 8 september 2010 | new delhi, india | india | 2-1 | win | friendly row 16 : 16.0 | 15 january 2012 | bangkok, thailand | south korea | 1-3 | loss | 2012 king's cup row 17 : 17.0 | 26 january 2013 | chiangmai, thailand | north korea | 2-2 | draw | 2013 king's cup row 18 : 18.0 | 5 march 2014 | bangkok, thailand | lebanon | 2-5 | loss | 2015 afc asian cup qualification | table_csv/203_14.csv | 1 | {
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],
"row_index": [
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} | [
"who were all of the opponents?",
"what was the result for south korea?"
] | 1 | loss | [
"#",
"Date",
"Venue",
"Opponent",
"Score",
"Result",
"Competition"
] | what was the result for south korea? | [
[
"1.0",
"24 December 2005",
"Phang Nga, Thailand",
"Latvia",
"1-1",
"Draw",
"2005 King's Cup"
],
[
"2.0",
"26 March 2006",
"Chonburi, Thailand",
"Philippines",
"5-0",
"Win",
"Friendly"
],
[
"3.0",
"26 March 2006",
"Chonburi, Thailand",
"Philippines",
"5-0",
"Win",
"Friendly"
],
[
"4.0",
"8 October 2007",
"Bangkok, Thailand",
"Macau",
"6-1",
"Win",
"2010 FIFA World Cup Qualification"
],
[
"5.0",
"6 February 2008",
"Saitama, Japan",
"Japan",
"4-1",
"Loss",
"2010 FIFA World Cup Qualification"
],
[
"6.0",
"15 March 2008",
"Kunming, China",
"China PR",
"3-3",
"Draw",
"Friendly"
],
[
"7.0",
"15 March 2008",
"Kunming, China",
"China PR",
"3-3",
"Draw",
"Friendly"
],
[
"8.0",
"20 May 2008",
"Bangkok, Thailand",
"Nepal",
"7-0",
"Win",
"Friendly"
],
[
"9.0",
"20 May 2008",
"Bangkok, Thailand",
"Nepal",
"7-0",
"Win",
"Friendly"
],
[
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"25 May 2008",
"Bangkok, Thailand",
"Iraq",
"2-1",
"Win",
"Friendly"
],
[
"11.0",
"2 June 2008",
"Bangkok, Thailand",
"Bahrain",
"2-3",
"Loss",
"2010 FIFA World Cup Qualification"
],
[
"12.0",
"20 December 2008",
"Bangkok, Thailand",
"Indonesia",
"2-1",
"Win",
"2008 AFF Suzuki Cup"
],
[
"13.0",
"18 July 2009",
"Bangkok, Thailand",
"Pakistan",
"4-0",
"Win",
"Friendly"
],
[
"14.0",
"8 November 2009",
"Bangkok, Thailand",
"Syria",
"1-1",
"Draw",
"Friendly"
],
[
"15.0",
"8 September 2010",
"New Delhi, India",
"India",
"2-1",
"Win",
"Friendly"
],
[
"16.0",
"15 January 2012",
"Bangkok, Thailand",
"South Korea",
"1-3",
"Loss",
"2012 King's Cup"
],
[
"17.0",
"26 January 2013",
"Chiangmai, Thailand",
"North Korea",
"2-2",
"Draw",
"2013 King's Cup"
],
[
"18.0",
"5 March 2014",
"Bangkok, Thailand",
"Lebanon",
"2-5",
"Loss",
"2015 AFC Asian Cup qualification"
]
] | [
"Loss"
] | what was the result for south korea? || who were all of the opponents? |
nt-10473 | col : # | date | venue | opponent | score | result | competition row 1 : 1.0 | 24 december 2005 | phang nga, thailand | latvia | 1-1 | draw | 2005 king's cup row 2 : 2.0 | 26 march 2006 | chonburi, thailand | philippines | 5-0 | win | friendly row 3 : 3.0 | 26 march 2006 | chonburi, thailand | philippines | 5-0 | win | friendly row 4 : 4.0 | 8 october 2007 | bangkok, thailand | macau | 6-1 | win | 2010 fifa world cup qualification row 5 : 5.0 | 6 february 2008 | saitama, japan | japan | 4-1 | loss | 2010 fifa world cup qualification row 6 : 6.0 | 15 march 2008 | kunming, china | china pr | 3-3 | draw | friendly row 7 : 7.0 | 15 march 2008 | kunming, china | china pr | 3-3 | draw | friendly row 8 : 8.0 | 20 may 2008 | bangkok, thailand | nepal | 7-0 | win | friendly row 9 : 9.0 | 20 may 2008 | bangkok, thailand | nepal | 7-0 | win | friendly row 10 : 10.0 | 25 may 2008 | bangkok, thailand | iraq | 2-1 | win | friendly row 11 : 11.0 | 2 june 2008 | bangkok, thailand | bahrain | 2-3 | loss | 2010 fifa world cup qualification row 12 : 12.0 | 20 december 2008 | bangkok, thailand | indonesia | 2-1 | win | 2008 aff suzuki cup row 13 : 13.0 | 18 july 2009 | bangkok, thailand | pakistan | 4-0 | win | friendly row 14 : 14.0 | 8 november 2009 | bangkok, thailand | syria | 1-1 | draw | friendly row 15 : 15.0 | 8 september 2010 | new delhi, india | india | 2-1 | win | friendly row 16 : 16.0 | 15 january 2012 | bangkok, thailand | south korea | 1-3 | loss | 2012 king's cup row 17 : 17.0 | 26 january 2013 | chiangmai, thailand | north korea | 2-2 | draw | 2013 king's cup row 18 : 18.0 | 5 march 2014 | bangkok, thailand | lebanon | 2-5 | loss | 2015 afc asian cup qualification | table_csv/203_14.csv | 2 | {
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} | [
"who were all of the opponents?",
"what was the result for south korea?",
"what was the result for north korea?"
] | 1 | draw | [
"#",
"Date",
"Venue",
"Opponent",
"Score",
"Result",
"Competition"
] | what was the result for north korea? | [
[
"1.0",
"24 December 2005",
"Phang Nga, Thailand",
"Latvia",
"1-1",
"Draw",
"2005 King's Cup"
],
[
"2.0",
"26 March 2006",
"Chonburi, Thailand",
"Philippines",
"5-0",
"Win",
"Friendly"
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[
"3.0",
"26 March 2006",
"Chonburi, Thailand",
"Philippines",
"5-0",
"Win",
"Friendly"
],
[
"4.0",
"8 October 2007",
"Bangkok, Thailand",
"Macau",
"6-1",
"Win",
"2010 FIFA World Cup Qualification"
],
[
"5.0",
"6 February 2008",
"Saitama, Japan",
"Japan",
"4-1",
"Loss",
"2010 FIFA World Cup Qualification"
],
[
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"15 March 2008",
"Kunming, China",
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"3-3",
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"3-3",
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"Friendly"
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"25 May 2008",
"Bangkok, Thailand",
"Iraq",
"2-1",
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"Friendly"
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[
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"2 June 2008",
"Bangkok, Thailand",
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"2-3",
"Loss",
"2010 FIFA World Cup Qualification"
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[
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"20 December 2008",
"Bangkok, Thailand",
"Indonesia",
"2-1",
"Win",
"2008 AFF Suzuki Cup"
],
[
"13.0",
"18 July 2009",
"Bangkok, Thailand",
"Pakistan",
"4-0",
"Win",
"Friendly"
],
[
"14.0",
"8 November 2009",
"Bangkok, Thailand",
"Syria",
"1-1",
"Draw",
"Friendly"
],
[
"15.0",
"8 September 2010",
"New Delhi, India",
"India",
"2-1",
"Win",
"Friendly"
],
[
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"15 January 2012",
"Bangkok, Thailand",
"South Korea",
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"Loss",
"2012 King's Cup"
],
[
"17.0",
"26 January 2013",
"Chiangmai, Thailand",
"North Korea",
"2-2",
"Draw",
"2013 King's Cup"
],
[
"18.0",
"5 March 2014",
"Bangkok, Thailand",
"Lebanon",
"2-5",
"Loss",
"2015 AFC Asian Cup qualification"
]
] | [
"Draw"
] | what was the result for north korea? || what was the result for south korea? | who were all of the opponents? |
nt-10473 | col : # | date | venue | opponent | score | result | competition row 1 : 1.0 | 24 december 2005 | phang nga, thailand | latvia | 1-1 | draw | 2005 king's cup row 2 : 2.0 | 26 march 2006 | chonburi, thailand | philippines | 5-0 | win | friendly row 3 : 3.0 | 26 march 2006 | chonburi, thailand | philippines | 5-0 | win | friendly row 4 : 4.0 | 8 october 2007 | bangkok, thailand | macau | 6-1 | win | 2010 fifa world cup qualification row 5 : 5.0 | 6 february 2008 | saitama, japan | japan | 4-1 | loss | 2010 fifa world cup qualification row 6 : 6.0 | 15 march 2008 | kunming, china | china pr | 3-3 | draw | friendly row 7 : 7.0 | 15 march 2008 | kunming, china | china pr | 3-3 | draw | friendly row 8 : 8.0 | 20 may 2008 | bangkok, thailand | nepal | 7-0 | win | friendly row 9 : 9.0 | 20 may 2008 | bangkok, thailand | nepal | 7-0 | win | friendly row 10 : 10.0 | 25 may 2008 | bangkok, thailand | iraq | 2-1 | win | friendly row 11 : 11.0 | 2 june 2008 | bangkok, thailand | bahrain | 2-3 | loss | 2010 fifa world cup qualification row 12 : 12.0 | 20 december 2008 | bangkok, thailand | indonesia | 2-1 | win | 2008 aff suzuki cup row 13 : 13.0 | 18 july 2009 | bangkok, thailand | pakistan | 4-0 | win | friendly row 14 : 14.0 | 8 november 2009 | bangkok, thailand | syria | 1-1 | draw | friendly row 15 : 15.0 | 8 september 2010 | new delhi, india | india | 2-1 | win | friendly row 16 : 16.0 | 15 january 2012 | bangkok, thailand | south korea | 1-3 | loss | 2012 king's cup row 17 : 17.0 | 26 january 2013 | chiangmai, thailand | north korea | 2-2 | draw | 2013 king's cup row 18 : 18.0 | 5 march 2014 | bangkok, thailand | lebanon | 2-5 | loss | 2015 afc asian cup qualification | table_csv/203_14.csv | 3 | {
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"who were all of the opponents?",
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"2005 King's Cup"
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"5-0",
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[
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"6-1",
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[
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"2013 King's Cup"
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[
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"5 March 2014",
"Bangkok, Thailand",
"Lebanon",
"2-5",
"Loss",
"2015 AFC Asian Cup qualification"
]
] | [
"North Korea"
] | between those two, who had more draws? || what was the result for north korea? | what was the result for south korea? | who were all of the opponents? |
nt-10473 | col : # | date | venue | opponent | score | result | competition row 1 : 1.0 | 24 december 2005 | phang nga, thailand | latvia | 1-1 | draw | 2005 king's cup row 2 : 2.0 | 26 march 2006 | chonburi, thailand | philippines | 5-0 | win | friendly row 3 : 3.0 | 26 march 2006 | chonburi, thailand | philippines | 5-0 | win | friendly row 4 : 4.0 | 8 october 2007 | bangkok, thailand | macau | 6-1 | win | 2010 fifa world cup qualification row 5 : 5.0 | 6 february 2008 | saitama, japan | japan | 4-1 | loss | 2010 fifa world cup qualification row 6 : 6.0 | 15 march 2008 | kunming, china | china pr | 3-3 | draw | friendly row 7 : 7.0 | 15 march 2008 | kunming, china | china pr | 3-3 | draw | friendly row 8 : 8.0 | 20 may 2008 | bangkok, thailand | nepal | 7-0 | win | friendly row 9 : 9.0 | 20 may 2008 | bangkok, thailand | nepal | 7-0 | win | friendly row 10 : 10.0 | 25 may 2008 | bangkok, thailand | iraq | 2-1 | win | friendly row 11 : 11.0 | 2 june 2008 | bangkok, thailand | bahrain | 2-3 | loss | 2010 fifa world cup qualification row 12 : 12.0 | 20 december 2008 | bangkok, thailand | indonesia | 2-1 | win | 2008 aff suzuki cup row 13 : 13.0 | 18 july 2009 | bangkok, thailand | pakistan | 4-0 | win | friendly row 14 : 14.0 | 8 november 2009 | bangkok, thailand | syria | 1-1 | draw | friendly row 15 : 15.0 | 8 september 2010 | new delhi, india | india | 2-1 | win | friendly row 16 : 16.0 | 15 january 2012 | bangkok, thailand | south korea | 1-3 | loss | 2012 king's cup row 17 : 17.0 | 26 january 2013 | chiangmai, thailand | north korea | 2-2 | draw | 2013 king's cup row 18 : 18.0 | 5 march 2014 | bangkok, thailand | lebanon | 2-5 | loss | 2015 afc asian cup qualification | table_csv/203_14.csv | 0 | {
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"what date did phang nga, thailand score 1-1?"
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"2005 King's Cup"
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"20 December 2008",
"Bangkok, Thailand",
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"2-1",
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[
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[
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"1-1",
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"Friendly"
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[
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"2013 King's Cup"
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[
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"5 March 2014",
"Bangkok, Thailand",
"Lebanon",
"2-5",
"Loss",
"2015 AFC Asian Cup qualification"
]
] | [
"24 December 2005"
] | what date did phang nga, thailand score 1-1? || |
nt-10473 | col : # | date | venue | opponent | score | result | competition row 1 : 1.0 | 24 december 2005 | phang nga, thailand | latvia | 1-1 | draw | 2005 king's cup row 2 : 2.0 | 26 march 2006 | chonburi, thailand | philippines | 5-0 | win | friendly row 3 : 3.0 | 26 march 2006 | chonburi, thailand | philippines | 5-0 | win | friendly row 4 : 4.0 | 8 october 2007 | bangkok, thailand | macau | 6-1 | win | 2010 fifa world cup qualification row 5 : 5.0 | 6 february 2008 | saitama, japan | japan | 4-1 | loss | 2010 fifa world cup qualification row 6 : 6.0 | 15 march 2008 | kunming, china | china pr | 3-3 | draw | friendly row 7 : 7.0 | 15 march 2008 | kunming, china | china pr | 3-3 | draw | friendly row 8 : 8.0 | 20 may 2008 | bangkok, thailand | nepal | 7-0 | win | friendly row 9 : 9.0 | 20 may 2008 | bangkok, thailand | nepal | 7-0 | win | friendly row 10 : 10.0 | 25 may 2008 | bangkok, thailand | iraq | 2-1 | win | friendly row 11 : 11.0 | 2 june 2008 | bangkok, thailand | bahrain | 2-3 | loss | 2010 fifa world cup qualification row 12 : 12.0 | 20 december 2008 | bangkok, thailand | indonesia | 2-1 | win | 2008 aff suzuki cup row 13 : 13.0 | 18 july 2009 | bangkok, thailand | pakistan | 4-0 | win | friendly row 14 : 14.0 | 8 november 2009 | bangkok, thailand | syria | 1-1 | draw | friendly row 15 : 15.0 | 8 september 2010 | new delhi, india | india | 2-1 | win | friendly row 16 : 16.0 | 15 january 2012 | bangkok, thailand | south korea | 1-3 | loss | 2012 king's cup row 17 : 17.0 | 26 january 2013 | chiangmai, thailand | north korea | 2-2 | draw | 2013 king's cup row 18 : 18.0 | 5 march 2014 | bangkok, thailand | lebanon | 2-5 | loss | 2015 afc asian cup qualification | table_csv/203_14.csv | 1 | {
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} | [
"what date did phang nga, thailand score 1-1?",
"did \tphang nga, thailand get the cup?"
] | 2 | north korea | [
"#",
"Date",
"Venue",
"Opponent",
"Score",
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] | did phang nga, thailand get the cup? | [
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[
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"2-5",
"Loss",
"2015 AFC Asian Cup qualification"
]
] | [
"North Korea"
] | did phang nga, thailand get the cup? || what date did phang nga, thailand score 1-1? |
nt-10673 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | france | 1 | 3 | 0 | 4 row 2 : 2 | england | 1 | 2 | 1 | 4 row 3 : 3 | ireland | 1 | 1 | 0 | 2 row 4 : - | sweden | 1 | 1 | 0 | 2 row 5 : 5 | belgium | 1 | 0 | 2 | 3 row 6 : 6 | hungary | 1 | 0 | 0 | 1 row 7 : - | netherlands | 1 | 0 | 0 | 1 row 8 : - | spain | 1 | 0 | 0 | 1 row 9 : 9 | scotland | 0 | 1 | 0 | 1 row 10 : 10 | czechoslovakia | 0 | 0 | 2 | 2 row 11 : - | italy | 0 | 0 | 2 | 2 row 12 : 12 | denmark | 0 | 0 | 1 | 1 | table_csv/203_314.csv | 0 | {
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"Sweden",
"Belgium",
"Hungary",
"Netherlands",
"Spain",
"Scotland",
"Czechoslovakia",
"Italy",
"Denmark"
] | which nations participated in the 1947 european amateur boxing championships? || |
nt-10673 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | france | 1 | 3 | 0 | 4 row 2 : 2 | england | 1 | 2 | 1 | 4 row 3 : 3 | ireland | 1 | 1 | 0 | 2 row 4 : - | sweden | 1 | 1 | 0 | 2 row 5 : 5 | belgium | 1 | 0 | 2 | 3 row 6 : 6 | hungary | 1 | 0 | 0 | 1 row 7 : - | netherlands | 1 | 0 | 0 | 1 row 8 : - | spain | 1 | 0 | 0 | 1 row 9 : 9 | scotland | 0 | 1 | 0 | 1 row 10 : 10 | czechoslovakia | 0 | 0 | 2 | 2 row 11 : - | italy | 0 | 0 | 2 | 2 row 12 : 12 | denmark | 0 | 0 | 1 | 1 | table_csv/203_314.csv | 1 | {
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"1"
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nt-10673 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | france | 1 | 3 | 0 | 4 row 2 : 2 | england | 1 | 2 | 1 | 4 row 3 : 3 | ireland | 1 | 1 | 0 | 2 row 4 : - | sweden | 1 | 1 | 0 | 2 row 5 : 5 | belgium | 1 | 0 | 2 | 3 row 6 : 6 | hungary | 1 | 0 | 0 | 1 row 7 : - | netherlands | 1 | 0 | 0 | 1 row 8 : - | spain | 1 | 0 | 0 | 1 row 9 : 9 | scotland | 0 | 1 | 0 | 1 row 10 : 10 | czechoslovakia | 0 | 0 | 2 | 2 row 11 : - | italy | 0 | 0 | 2 | 2 row 12 : 12 | denmark | 0 | 0 | 1 | 1 | table_csv/203_314.csv | 2 | {
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"which nations participated in the 1947 european amateur boxing championships?",
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"which was the first nation to not win a bronze medal?"
] | 0 | france | [
"Rank",
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"Silver",
"Bronze",
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[
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"Denmark",
"0",
"0",
"1",
"1"
]
] | [
"France"
] | which was the first nation to not win a bronze medal? || and how many bronze medals did they acquire? | which nations participated in the 1947 european amateur boxing championships? |
nt-10673 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | france | 1 | 3 | 0 | 4 row 2 : 2 | england | 1 | 2 | 1 | 4 row 3 : 3 | ireland | 1 | 1 | 0 | 2 row 4 : - | sweden | 1 | 1 | 0 | 2 row 5 : 5 | belgium | 1 | 0 | 2 | 3 row 6 : 6 | hungary | 1 | 0 | 0 | 1 row 7 : - | netherlands | 1 | 0 | 0 | 1 row 8 : - | spain | 1 | 0 | 0 | 1 row 9 : 9 | scotland | 0 | 1 | 0 | 1 row 10 : 10 | czechoslovakia | 0 | 0 | 2 | 2 row 11 : - | italy | 0 | 0 | 2 | 2 row 12 : 12 | denmark | 0 | 0 | 1 | 1 | table_csv/203_314.csv | 0 | {
"column_index": [
1
],
"row_index": [
4
]
} | [
"what nation did not earn a silver medal in the 1947 european amateur boxing championships?"
] | 1 | belgium | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | what nation did not earn a silver medal in the 1947 european amateur boxing championships? | [
[
"1",
"France",
"1",
"3",
"0",
"4"
],
[
"2",
"England",
"1",
"2",
"1",
"4"
],
[
"3",
"Ireland",
"1",
"1",
"0",
"2"
],
[
"-",
"Sweden",
"1",
"1",
"0",
"2"
],
[
"5",
"Belgium",
"1",
"0",
"2",
"3"
],
[
"6",
"Hungary",
"1",
"0",
"0",
"1"
],
[
"-",
"Netherlands",
"1",
"0",
"0",
"1"
],
[
"-",
"Spain",
"1",
"0",
"0",
"1"
],
[
"9",
"Scotland",
"0",
"1",
"0",
"1"
],
[
"10",
"Czechoslovakia",
"0",
"0",
"2",
"2"
],
[
"-",
"Italy",
"0",
"0",
"2",
"2"
],
[
"12",
"Denmark",
"0",
"0",
"1",
"1"
]
] | [
"Belgium"
] | what nation did not earn a silver medal in the 1947 european amateur boxing championships? || |
nt-10673 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | france | 1 | 3 | 0 | 4 row 2 : 2 | england | 1 | 2 | 1 | 4 row 3 : 3 | ireland | 1 | 1 | 0 | 2 row 4 : - | sweden | 1 | 1 | 0 | 2 row 5 : 5 | belgium | 1 | 0 | 2 | 3 row 6 : 6 | hungary | 1 | 0 | 0 | 1 row 7 : - | netherlands | 1 | 0 | 0 | 1 row 8 : - | spain | 1 | 0 | 0 | 1 row 9 : 9 | scotland | 0 | 1 | 0 | 1 row 10 : 10 | czechoslovakia | 0 | 0 | 2 | 2 row 11 : - | italy | 0 | 0 | 2 | 2 row 12 : 12 | denmark | 0 | 0 | 1 | 1 | table_csv/203_314.csv | 1 | {
"column_index": [
1
],
"row_index": [
8
]
} | [
"what nation did not earn a silver medal in the 1947 european amateur boxing championships?",
"what nation did not earn a gold medal?"
] | 1 | scotland | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | what nation did not earn a gold medal? | [
[
"1",
"France",
"1",
"3",
"0",
"4"
],
[
"2",
"England",
"1",
"2",
"1",
"4"
],
[
"3",
"Ireland",
"1",
"1",
"0",
"2"
],
[
"-",
"Sweden",
"1",
"1",
"0",
"2"
],
[
"5",
"Belgium",
"1",
"0",
"2",
"3"
],
[
"6",
"Hungary",
"1",
"0",
"0",
"1"
],
[
"-",
"Netherlands",
"1",
"0",
"0",
"1"
],
[
"-",
"Spain",
"1",
"0",
"0",
"1"
],
[
"9",
"Scotland",
"0",
"1",
"0",
"1"
],
[
"10",
"Czechoslovakia",
"0",
"0",
"2",
"2"
],
[
"-",
"Italy",
"0",
"0",
"2",
"2"
],
[
"12",
"Denmark",
"0",
"0",
"1",
"1"
]
] | [
"Scotland"
] | what nation did not earn a gold medal? || what nation did not earn a silver medal in the 1947 european amateur boxing championships? |
nt-10673 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | france | 1 | 3 | 0 | 4 row 2 : 2 | england | 1 | 2 | 1 | 4 row 3 : 3 | ireland | 1 | 1 | 0 | 2 row 4 : - | sweden | 1 | 1 | 0 | 2 row 5 : 5 | belgium | 1 | 0 | 2 | 3 row 6 : 6 | hungary | 1 | 0 | 0 | 1 row 7 : - | netherlands | 1 | 0 | 0 | 1 row 8 : - | spain | 1 | 0 | 0 | 1 row 9 : 9 | scotland | 0 | 1 | 0 | 1 row 10 : 10 | czechoslovakia | 0 | 0 | 2 | 2 row 11 : - | italy | 0 | 0 | 2 | 2 row 12 : 12 | denmark | 0 | 0 | 1 | 1 | table_csv/203_314.csv | 2 | {
"column_index": [
1
],
"row_index": [
0
]
} | [
"what nation did not earn a silver medal in the 1947 european amateur boxing championships?",
"what nation did not earn a gold medal?",
"which nation did not earn a bronze medal?"
] | 1 | france | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which nation did not earn a bronze medal? | [
[
"1",
"France",
"1",
"3",
"0",
"4"
],
[
"2",
"England",
"1",
"2",
"1",
"4"
],
[
"3",
"Ireland",
"1",
"1",
"0",
"2"
],
[
"-",
"Sweden",
"1",
"1",
"0",
"2"
],
[
"5",
"Belgium",
"1",
"0",
"2",
"3"
],
[
"6",
"Hungary",
"1",
"0",
"0",
"1"
],
[
"-",
"Netherlands",
"1",
"0",
"0",
"1"
],
[
"-",
"Spain",
"1",
"0",
"0",
"1"
],
[
"9",
"Scotland",
"0",
"1",
"0",
"1"
],
[
"10",
"Czechoslovakia",
"0",
"0",
"2",
"2"
],
[
"-",
"Italy",
"0",
"0",
"2",
"2"
],
[
"12",
"Denmark",
"0",
"0",
"1",
"1"
]
] | [
"France"
] | which nation did not earn a bronze medal? || what nation did not earn a gold medal? | what nation did not earn a silver medal in the 1947 european amateur boxing championships? |
nt-10673 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | france | 1 | 3 | 0 | 4 row 2 : 2 | england | 1 | 2 | 1 | 4 row 3 : 3 | ireland | 1 | 1 | 0 | 2 row 4 : - | sweden | 1 | 1 | 0 | 2 row 5 : 5 | belgium | 1 | 0 | 2 | 3 row 6 : 6 | hungary | 1 | 0 | 0 | 1 row 7 : - | netherlands | 1 | 0 | 0 | 1 row 8 : - | spain | 1 | 0 | 0 | 1 row 9 : 9 | scotland | 0 | 1 | 0 | 1 row 10 : 10 | czechoslovakia | 0 | 0 | 2 | 2 row 11 : - | italy | 0 | 0 | 2 | 2 row 12 : 12 | denmark | 0 | 0 | 1 | 1 | table_csv/203_314.csv | 0 | {
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
} | [
"which countries won gold medals?"
] | 2 | france, england, ireland, sweden, belgium, hungary, netherlands, spain | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which countries won gold medals? | [
[
"1",
"France",
"1",
"3",
"0",
"4"
],
[
"2",
"England",
"1",
"2",
"1",
"4"
],
[
"3",
"Ireland",
"1",
"1",
"0",
"2"
],
[
"-",
"Sweden",
"1",
"1",
"0",
"2"
],
[
"5",
"Belgium",
"1",
"0",
"2",
"3"
],
[
"6",
"Hungary",
"1",
"0",
"0",
"1"
],
[
"-",
"Netherlands",
"1",
"0",
"0",
"1"
],
[
"-",
"Spain",
"1",
"0",
"0",
"1"
],
[
"9",
"Scotland",
"0",
"1",
"0",
"1"
],
[
"10",
"Czechoslovakia",
"0",
"0",
"2",
"2"
],
[
"-",
"Italy",
"0",
"0",
"2",
"2"
],
[
"12",
"Denmark",
"0",
"0",
"1",
"1"
]
] | [
"France",
"England",
"Ireland",
"Sweden",
"Belgium",
"Hungary",
"Netherlands",
"Spain"
] | which countries won gold medals? || |
nt-10673 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | france | 1 | 3 | 0 | 4 row 2 : 2 | england | 1 | 2 | 1 | 4 row 3 : 3 | ireland | 1 | 1 | 0 | 2 row 4 : - | sweden | 1 | 1 | 0 | 2 row 5 : 5 | belgium | 1 | 0 | 2 | 3 row 6 : 6 | hungary | 1 | 0 | 0 | 1 row 7 : - | netherlands | 1 | 0 | 0 | 1 row 8 : - | spain | 1 | 0 | 0 | 1 row 9 : 9 | scotland | 0 | 1 | 0 | 1 row 10 : 10 | czechoslovakia | 0 | 0 | 2 | 2 row 11 : - | italy | 0 | 0 | 2 | 2 row 12 : 12 | denmark | 0 | 0 | 1 | 1 | table_csv/203_314.csv | 1 | {
"column_index": [
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3
]
} | [
"which countries won gold medals?",
"of these, which countries won silver medals?"
] | 2 | france, england, ireland, sweden | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | of these, which countries won silver medals? | [
[
"1",
"France",
"1",
"3",
"0",
"4"
],
[
"2",
"England",
"1",
"2",
"1",
"4"
],
[
"3",
"Ireland",
"1",
"1",
"0",
"2"
],
[
"-",
"Sweden",
"1",
"1",
"0",
"2"
],
[
"5",
"Belgium",
"1",
"0",
"2",
"3"
],
[
"6",
"Hungary",
"1",
"0",
"0",
"1"
],
[
"-",
"Netherlands",
"1",
"0",
"0",
"1"
],
[
"-",
"Spain",
"1",
"0",
"0",
"1"
],
[
"9",
"Scotland",
"0",
"1",
"0",
"1"
],
[
"10",
"Czechoslovakia",
"0",
"0",
"2",
"2"
],
[
"-",
"Italy",
"0",
"0",
"2",
"2"
],
[
"12",
"Denmark",
"0",
"0",
"1",
"1"
]
] | [
"France",
"England",
"Ireland",
"Sweden"
] | of these, which countries won silver medals? || which countries won gold medals? |
nt-10673 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | france | 1 | 3 | 0 | 4 row 2 : 2 | england | 1 | 2 | 1 | 4 row 3 : 3 | ireland | 1 | 1 | 0 | 2 row 4 : - | sweden | 1 | 1 | 0 | 2 row 5 : 5 | belgium | 1 | 0 | 2 | 3 row 6 : 6 | hungary | 1 | 0 | 0 | 1 row 7 : - | netherlands | 1 | 0 | 0 | 1 row 8 : - | spain | 1 | 0 | 0 | 1 row 9 : 9 | scotland | 0 | 1 | 0 | 1 row 10 : 10 | czechoslovakia | 0 | 0 | 2 | 2 row 11 : - | italy | 0 | 0 | 2 | 2 row 12 : 12 | denmark | 0 | 0 | 1 | 1 | table_csv/203_314.csv | 2 | {
"column_index": [
1,
1
],
"row_index": [
0,
1
]
} | [
"which countries won gold medals?",
"of these, which countries won silver medals?",
"of these, which countries had the most total medals?"
] | 2 | france, england | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | of these, which countries had the most total medals? | [
[
"1",
"France",
"1",
"3",
"0",
"4"
],
[
"2",
"England",
"1",
"2",
"1",
"4"
],
[
"3",
"Ireland",
"1",
"1",
"0",
"2"
],
[
"-",
"Sweden",
"1",
"1",
"0",
"2"
],
[
"5",
"Belgium",
"1",
"0",
"2",
"3"
],
[
"6",
"Hungary",
"1",
"0",
"0",
"1"
],
[
"-",
"Netherlands",
"1",
"0",
"0",
"1"
],
[
"-",
"Spain",
"1",
"0",
"0",
"1"
],
[
"9",
"Scotland",
"0",
"1",
"0",
"1"
],
[
"10",
"Czechoslovakia",
"0",
"0",
"2",
"2"
],
[
"-",
"Italy",
"0",
"0",
"2",
"2"
],
[
"12",
"Denmark",
"0",
"0",
"1",
"1"
]
] | [
"France",
"England"
] | of these, which countries had the most total medals? || of these, which countries won silver medals? | which countries won gold medals? |
nt-10673 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | france | 1 | 3 | 0 | 4 row 2 : 2 | england | 1 | 2 | 1 | 4 row 3 : 3 | ireland | 1 | 1 | 0 | 2 row 4 : - | sweden | 1 | 1 | 0 | 2 row 5 : 5 | belgium | 1 | 0 | 2 | 3 row 6 : 6 | hungary | 1 | 0 | 0 | 1 row 7 : - | netherlands | 1 | 0 | 0 | 1 row 8 : - | spain | 1 | 0 | 0 | 1 row 9 : 9 | scotland | 0 | 1 | 0 | 1 row 10 : 10 | czechoslovakia | 0 | 0 | 2 | 2 row 11 : - | italy | 0 | 0 | 2 | 2 row 12 : 12 | denmark | 0 | 0 | 1 | 1 | table_csv/203_314.csv | 3 | {
"column_index": [
1
],
"row_index": [
0
]
} | [
"which countries won gold medals?",
"of these, which countries won silver medals?",
"of these, which countries had the most total medals?",
"of these, which country won 3 silver medals?"
] | 2 | france | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | of these, which country won 3 silver medals? | [
[
"1",
"France",
"1",
"3",
"0",
"4"
],
[
"2",
"England",
"1",
"2",
"1",
"4"
],
[
"3",
"Ireland",
"1",
"1",
"0",
"2"
],
[
"-",
"Sweden",
"1",
"1",
"0",
"2"
],
[
"5",
"Belgium",
"1",
"0",
"2",
"3"
],
[
"6",
"Hungary",
"1",
"0",
"0",
"1"
],
[
"-",
"Netherlands",
"1",
"0",
"0",
"1"
],
[
"-",
"Spain",
"1",
"0",
"0",
"1"
],
[
"9",
"Scotland",
"0",
"1",
"0",
"1"
],
[
"10",
"Czechoslovakia",
"0",
"0",
"2",
"2"
],
[
"-",
"Italy",
"0",
"0",
"2",
"2"
],
[
"12",
"Denmark",
"0",
"0",
"1",
"1"
]
] | [
"France"
] | of these, which country won 3 silver medals? || of these, which countries had the most total medals? | of these, which countries won silver medals? | which countries won gold medals? |
nt-10672 | col : pos | team | total | high | low | average | change row 1 : 1.0 | honda motor | 13,178 | 3,305 | 402 | 879 | -11.9%+ row 2 : 2.0 | sc tottori | 12,281 | 2,124 | 401 | 819 | n/a+ row 3 : 3.0 | ntt west kumamoto | 10,394 | 1,378 | 324 | 693 | n/a+ row 4 : 4.0 | ehime fc | 9,896 | 1,250 | 348 | 660 | n/a+ row 5 : 5.0 | tochigi sc | 9,723 | 1,141 | 285 | 648 | -38.2%+ row 6 : 6.0 | otsuka pharmaceuticals | 8,975 | 2,391 | 284 | 598 | +18.4%+ row 7 : 7.0 | ykk fc | 8,093 | 2,477 | 198 | 540 | n/a+ row 8 : 8.0 | sony sendai | 7,817 | 886 | 342 | 521 | -52.3%+ row 9 : 9.0 | yokogawa fc | 7,334 | 1,198 | 240 | 489 | -30.4%+ row 10 : 10.0 | alo's hokuriku | 6,380 | 1,801 | 180 | 425 | -12.1%+ row 11 : 11.0 | jatco fc | 6,329 | 1,075 | 167 | 422 | -36.7%+ row 12 : 12.0 | sagawa express | 5,365 | 1,054 | 48 | 358 | n/a+ row 13 : 13.0 | denso sc | 5,344 | 831 | 119 | 356 | -17.7%+ row 14 : 14.0 | kyoken kyoto | 5,262 | 468 | 203 | 351 | -9.0%+ row 15 : 15.0 | shizuoka sangyo university | 4,013 | 803 | 101 | 268 | -48.8%+ row 16 : 16.0 | kokushikan university | 3,298 | 414 | 54 | 220 | -28.3%+ row 17 : nan | league total | 123,682 | 3,305 | 48 | 515 | -42.8%+ | table_csv/203_561.csv | 0 | {
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
} | [
"which teams had an average attendance of over 500?"
] | 0 | honda motor, sc tottori, ntt west kumamoto, ehime fc, tochigi sc, otsuka pharmaceuticals, ykk fc, sony sendai | [
"Pos",
"Team",
"Total",
"High",
"Low",
"Average",
"Change"
] | which teams had an average attendance of over 500? | [
[
"1.0",
"Honda Motor",
"13,178",
"3,305",
"402",
"879",
"-11.9%+"
],
[
"2.0",
"SC Tottori",
"12,281",
"2,124",
"401",
"819",
"n/a+"
],
[
"3.0",
"NTT West Kumamoto",
"10,394",
"1,378",
"324",
"693",
"n/a+"
],
[
"4.0",
"Ehime FC",
"9,896",
"1,250",
"348",
"660",
"n/a+"
],
[
"5.0",
"Tochigi SC",
"9,723",
"1,141",
"285",
"648",
"-38.2%+"
],
[
"6.0",
"Otsuka Pharmaceuticals",
"8,975",
"2,391",
"284",
"598",
"+18.4%+"
],
[
"7.0",
"YKK FC",
"8,093",
"2,477",
"198",
"540",
"n/a+"
],
[
"8.0",
"Sony Sendai",
"7,817",
"886",
"342",
"521",
"-52.3%+"
],
[
"9.0",
"Yokogawa FC",
"7,334",
"1,198",
"240",
"489",
"-30.4%+"
],
[
"10.0",
"ALO's Hokuriku",
"6,380",
"1,801",
"180",
"425",
"-12.1%+"
],
[
"11.0",
"Jatco FC",
"6,329",
"1,075",
"167",
"422",
"-36.7%+"
],
[
"12.0",
"Sagawa Express",
"5,365",
"1,054",
"48",
"358",
"n/a+"
],
[
"13.0",
"Denso SC",
"5,344",
"831",
"119",
"356",
"-17.7%+"
],
[
"14.0",
"Kyoken Kyoto",
"5,262",
"468",
"203",
"351",
"-9.0%+"
],
[
"15.0",
"Shizuoka Sangyo University",
"4,013",
"803",
"101",
"268",
"-48.8%+"
],
[
"16.0",
"Kokushikan University",
"3,298",
"414",
"54",
"220",
"-28.3%+"
],
[
"nan",
"League total",
"123,682",
"3,305",
"48",
"515",
"-42.8%+"
]
] | [
"Honda Motor",
"SC Tottori",
"NTT West Kumamoto",
"Ehime FC",
"Tochigi SC",
"Otsuka Pharmaceuticals",
"YKK FC",
"Sony Sendai"
] | which teams had an average attendance of over 500? || |
nt-10672 | col : pos | team | total | high | low | average | change row 1 : 1.0 | honda motor | 13,178 | 3,305 | 402 | 879 | -11.9%+ row 2 : 2.0 | sc tottori | 12,281 | 2,124 | 401 | 819 | n/a+ row 3 : 3.0 | ntt west kumamoto | 10,394 | 1,378 | 324 | 693 | n/a+ row 4 : 4.0 | ehime fc | 9,896 | 1,250 | 348 | 660 | n/a+ row 5 : 5.0 | tochigi sc | 9,723 | 1,141 | 285 | 648 | -38.2%+ row 6 : 6.0 | otsuka pharmaceuticals | 8,975 | 2,391 | 284 | 598 | +18.4%+ row 7 : 7.0 | ykk fc | 8,093 | 2,477 | 198 | 540 | n/a+ row 8 : 8.0 | sony sendai | 7,817 | 886 | 342 | 521 | -52.3%+ row 9 : 9.0 | yokogawa fc | 7,334 | 1,198 | 240 | 489 | -30.4%+ row 10 : 10.0 | alo's hokuriku | 6,380 | 1,801 | 180 | 425 | -12.1%+ row 11 : 11.0 | jatco fc | 6,329 | 1,075 | 167 | 422 | -36.7%+ row 12 : 12.0 | sagawa express | 5,365 | 1,054 | 48 | 358 | n/a+ row 13 : 13.0 | denso sc | 5,344 | 831 | 119 | 356 | -17.7%+ row 14 : 14.0 | kyoken kyoto | 5,262 | 468 | 203 | 351 | -9.0%+ row 15 : 15.0 | shizuoka sangyo university | 4,013 | 803 | 101 | 268 | -48.8%+ row 16 : 16.0 | kokushikan university | 3,298 | 414 | 54 | 220 | -28.3%+ row 17 : nan | league total | 123,682 | 3,305 | 48 | 515 | -42.8%+ | table_csv/203_561.csv | 1 | {
"column_index": [
1,
1,
1
],
"row_index": [
4,
5,
6
]
} | [
"which teams had an average attendance of over 500?",
"of these teams, which ones had a low less than 300?"
] | 0 | tochigi sc, otsuka pharmaceuticals, ykk fc | [
"Pos",
"Team",
"Total",
"High",
"Low",
"Average",
"Change"
] | of these teams, which ones had a low less than 300? | [
[
"1.0",
"Honda Motor",
"13,178",
"3,305",
"402",
"879",
"-11.9%+"
],
[
"2.0",
"SC Tottori",
"12,281",
"2,124",
"401",
"819",
"n/a+"
],
[
"3.0",
"NTT West Kumamoto",
"10,394",
"1,378",
"324",
"693",
"n/a+"
],
[
"4.0",
"Ehime FC",
"9,896",
"1,250",
"348",
"660",
"n/a+"
],
[
"5.0",
"Tochigi SC",
"9,723",
"1,141",
"285",
"648",
"-38.2%+"
],
[
"6.0",
"Otsuka Pharmaceuticals",
"8,975",
"2,391",
"284",
"598",
"+18.4%+"
],
[
"7.0",
"YKK FC",
"8,093",
"2,477",
"198",
"540",
"n/a+"
],
[
"8.0",
"Sony Sendai",
"7,817",
"886",
"342",
"521",
"-52.3%+"
],
[
"9.0",
"Yokogawa FC",
"7,334",
"1,198",
"240",
"489",
"-30.4%+"
],
[
"10.0",
"ALO's Hokuriku",
"6,380",
"1,801",
"180",
"425",
"-12.1%+"
],
[
"11.0",
"Jatco FC",
"6,329",
"1,075",
"167",
"422",
"-36.7%+"
],
[
"12.0",
"Sagawa Express",
"5,365",
"1,054",
"48",
"358",
"n/a+"
],
[
"13.0",
"Denso SC",
"5,344",
"831",
"119",
"356",
"-17.7%+"
],
[
"14.0",
"Kyoken Kyoto",
"5,262",
"468",
"203",
"351",
"-9.0%+"
],
[
"15.0",
"Shizuoka Sangyo University",
"4,013",
"803",
"101",
"268",
"-48.8%+"
],
[
"16.0",
"Kokushikan University",
"3,298",
"414",
"54",
"220",
"-28.3%+"
],
[
"nan",
"League total",
"123,682",
"3,305",
"48",
"515",
"-42.8%+"
]
] | [
"Tochigi SC",
"Otsuka Pharmaceuticals",
"YKK FC"
] | of these teams, which ones had a low less than 300? || which teams had an average attendance of over 500? |
nt-10672 | col : pos | team | total | high | low | average | change row 1 : 1.0 | honda motor | 13,178 | 3,305 | 402 | 879 | -11.9%+ row 2 : 2.0 | sc tottori | 12,281 | 2,124 | 401 | 819 | n/a+ row 3 : 3.0 | ntt west kumamoto | 10,394 | 1,378 | 324 | 693 | n/a+ row 4 : 4.0 | ehime fc | 9,896 | 1,250 | 348 | 660 | n/a+ row 5 : 5.0 | tochigi sc | 9,723 | 1,141 | 285 | 648 | -38.2%+ row 6 : 6.0 | otsuka pharmaceuticals | 8,975 | 2,391 | 284 | 598 | +18.4%+ row 7 : 7.0 | ykk fc | 8,093 | 2,477 | 198 | 540 | n/a+ row 8 : 8.0 | sony sendai | 7,817 | 886 | 342 | 521 | -52.3%+ row 9 : 9.0 | yokogawa fc | 7,334 | 1,198 | 240 | 489 | -30.4%+ row 10 : 10.0 | alo's hokuriku | 6,380 | 1,801 | 180 | 425 | -12.1%+ row 11 : 11.0 | jatco fc | 6,329 | 1,075 | 167 | 422 | -36.7%+ row 12 : 12.0 | sagawa express | 5,365 | 1,054 | 48 | 358 | n/a+ row 13 : 13.0 | denso sc | 5,344 | 831 | 119 | 356 | -17.7%+ row 14 : 14.0 | kyoken kyoto | 5,262 | 468 | 203 | 351 | -9.0%+ row 15 : 15.0 | shizuoka sangyo university | 4,013 | 803 | 101 | 268 | -48.8%+ row 16 : 16.0 | kokushikan university | 3,298 | 414 | 54 | 220 | -28.3%+ row 17 : nan | league total | 123,682 | 3,305 | 48 | 515 | -42.8%+ | table_csv/203_561.csv | 2 | {
"column_index": [
1
],
"row_index": [
6
]
} | [
"which teams had an average attendance of over 500?",
"of these teams, which ones had a low less than 300?",
"of the remaining teams, which one had the largest high?"
] | 0 | ykk fc | [
"Pos",
"Team",
"Total",
"High",
"Low",
"Average",
"Change"
] | of the remaining teams, which one had the largest high? | [
[
"1.0",
"Honda Motor",
"13,178",
"3,305",
"402",
"879",
"-11.9%+"
],
[
"2.0",
"SC Tottori",
"12,281",
"2,124",
"401",
"819",
"n/a+"
],
[
"3.0",
"NTT West Kumamoto",
"10,394",
"1,378",
"324",
"693",
"n/a+"
],
[
"4.0",
"Ehime FC",
"9,896",
"1,250",
"348",
"660",
"n/a+"
],
[
"5.0",
"Tochigi SC",
"9,723",
"1,141",
"285",
"648",
"-38.2%+"
],
[
"6.0",
"Otsuka Pharmaceuticals",
"8,975",
"2,391",
"284",
"598",
"+18.4%+"
],
[
"7.0",
"YKK FC",
"8,093",
"2,477",
"198",
"540",
"n/a+"
],
[
"8.0",
"Sony Sendai",
"7,817",
"886",
"342",
"521",
"-52.3%+"
],
[
"9.0",
"Yokogawa FC",
"7,334",
"1,198",
"240",
"489",
"-30.4%+"
],
[
"10.0",
"ALO's Hokuriku",
"6,380",
"1,801",
"180",
"425",
"-12.1%+"
],
[
"11.0",
"Jatco FC",
"6,329",
"1,075",
"167",
"422",
"-36.7%+"
],
[
"12.0",
"Sagawa Express",
"5,365",
"1,054",
"48",
"358",
"n/a+"
],
[
"13.0",
"Denso SC",
"5,344",
"831",
"119",
"356",
"-17.7%+"
],
[
"14.0",
"Kyoken Kyoto",
"5,262",
"468",
"203",
"351",
"-9.0%+"
],
[
"15.0",
"Shizuoka Sangyo University",
"4,013",
"803",
"101",
"268",
"-48.8%+"
],
[
"16.0",
"Kokushikan University",
"3,298",
"414",
"54",
"220",
"-28.3%+"
],
[
"nan",
"League total",
"123,682",
"3,305",
"48",
"515",
"-42.8%+"
]
] | [
"YKK FC"
] | of the remaining teams, which one had the largest high? || of these teams, which ones had a low less than 300? | which teams had an average attendance of over 500? |
nt-10672 | col : pos | team | total | high | low | average | change row 1 : 1.0 | honda motor | 13,178 | 3,305 | 402 | 879 | -11.9%+ row 2 : 2.0 | sc tottori | 12,281 | 2,124 | 401 | 819 | n/a+ row 3 : 3.0 | ntt west kumamoto | 10,394 | 1,378 | 324 | 693 | n/a+ row 4 : 4.0 | ehime fc | 9,896 | 1,250 | 348 | 660 | n/a+ row 5 : 5.0 | tochigi sc | 9,723 | 1,141 | 285 | 648 | -38.2%+ row 6 : 6.0 | otsuka pharmaceuticals | 8,975 | 2,391 | 284 | 598 | +18.4%+ row 7 : 7.0 | ykk fc | 8,093 | 2,477 | 198 | 540 | n/a+ row 8 : 8.0 | sony sendai | 7,817 | 886 | 342 | 521 | -52.3%+ row 9 : 9.0 | yokogawa fc | 7,334 | 1,198 | 240 | 489 | -30.4%+ row 10 : 10.0 | alo's hokuriku | 6,380 | 1,801 | 180 | 425 | -12.1%+ row 11 : 11.0 | jatco fc | 6,329 | 1,075 | 167 | 422 | -36.7%+ row 12 : 12.0 | sagawa express | 5,365 | 1,054 | 48 | 358 | n/a+ row 13 : 13.0 | denso sc | 5,344 | 831 | 119 | 356 | -17.7%+ row 14 : 14.0 | kyoken kyoto | 5,262 | 468 | 203 | 351 | -9.0%+ row 15 : 15.0 | shizuoka sangyo university | 4,013 | 803 | 101 | 268 | -48.8%+ row 16 : 16.0 | kokushikan university | 3,298 | 414 | 54 | 220 | -28.3%+ row 17 : nan | league total | 123,682 | 3,305 | 48 | 515 | -42.8%+ | table_csv/203_561.csv | 0 | {
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15
]
} | [
"what are all the teams?"
] | 1 | honda motor, sc tottori, ntt west kumamoto, ehime fc, tochigi sc, otsuka pharmaceuticals, ykk fc, sony sendai, yokogawa fc, alo's hokuriku, jatco fc, sagawa express, denso sc, kyoken kyoto, shizuoka sangyo university, kokushikan university | [
"Pos",
"Team",
"Total",
"High",
"Low",
"Average",
"Change"
] | what are all the teams? | [
[
"1.0",
"Honda Motor",
"13,178",
"3,305",
"402",
"879",
"-11.9%+"
],
[
"2.0",
"SC Tottori",
"12,281",
"2,124",
"401",
"819",
"n/a+"
],
[
"3.0",
"NTT West Kumamoto",
"10,394",
"1,378",
"324",
"693",
"n/a+"
],
[
"4.0",
"Ehime FC",
"9,896",
"1,250",
"348",
"660",
"n/a+"
],
[
"5.0",
"Tochigi SC",
"9,723",
"1,141",
"285",
"648",
"-38.2%+"
],
[
"6.0",
"Otsuka Pharmaceuticals",
"8,975",
"2,391",
"284",
"598",
"+18.4%+"
],
[
"7.0",
"YKK FC",
"8,093",
"2,477",
"198",
"540",
"n/a+"
],
[
"8.0",
"Sony Sendai",
"7,817",
"886",
"342",
"521",
"-52.3%+"
],
[
"9.0",
"Yokogawa FC",
"7,334",
"1,198",
"240",
"489",
"-30.4%+"
],
[
"10.0",
"ALO's Hokuriku",
"6,380",
"1,801",
"180",
"425",
"-12.1%+"
],
[
"11.0",
"Jatco FC",
"6,329",
"1,075",
"167",
"422",
"-36.7%+"
],
[
"12.0",
"Sagawa Express",
"5,365",
"1,054",
"48",
"358",
"n/a+"
],
[
"13.0",
"Denso SC",
"5,344",
"831",
"119",
"356",
"-17.7%+"
],
[
"14.0",
"Kyoken Kyoto",
"5,262",
"468",
"203",
"351",
"-9.0%+"
],
[
"15.0",
"Shizuoka Sangyo University",
"4,013",
"803",
"101",
"268",
"-48.8%+"
],
[
"16.0",
"Kokushikan University",
"3,298",
"414",
"54",
"220",
"-28.3%+"
],
[
"nan",
"League total",
"123,682",
"3,305",
"48",
"515",
"-42.8%+"
]
] | [
"Honda Motor",
"SC Tottori",
"NTT West Kumamoto",
"Ehime FC",
"Tochigi SC",
"Otsuka Pharmaceuticals",
"YKK FC",
"Sony Sendai",
"Yokogawa FC",
"ALO's Hokuriku",
"Jatco FC",
"Sagawa Express",
"Denso SC",
"Kyoken Kyoto",
"Shizuoka Sangyo University",
"Kokushikan University"
] | what are all the teams? || |
nt-10672 | col : pos | team | total | high | low | average | change row 1 : 1.0 | honda motor | 13,178 | 3,305 | 402 | 879 | -11.9%+ row 2 : 2.0 | sc tottori | 12,281 | 2,124 | 401 | 819 | n/a+ row 3 : 3.0 | ntt west kumamoto | 10,394 | 1,378 | 324 | 693 | n/a+ row 4 : 4.0 | ehime fc | 9,896 | 1,250 | 348 | 660 | n/a+ row 5 : 5.0 | tochigi sc | 9,723 | 1,141 | 285 | 648 | -38.2%+ row 6 : 6.0 | otsuka pharmaceuticals | 8,975 | 2,391 | 284 | 598 | +18.4%+ row 7 : 7.0 | ykk fc | 8,093 | 2,477 | 198 | 540 | n/a+ row 8 : 8.0 | sony sendai | 7,817 | 886 | 342 | 521 | -52.3%+ row 9 : 9.0 | yokogawa fc | 7,334 | 1,198 | 240 | 489 | -30.4%+ row 10 : 10.0 | alo's hokuriku | 6,380 | 1,801 | 180 | 425 | -12.1%+ row 11 : 11.0 | jatco fc | 6,329 | 1,075 | 167 | 422 | -36.7%+ row 12 : 12.0 | sagawa express | 5,365 | 1,054 | 48 | 358 | n/a+ row 13 : 13.0 | denso sc | 5,344 | 831 | 119 | 356 | -17.7%+ row 14 : 14.0 | kyoken kyoto | 5,262 | 468 | 203 | 351 | -9.0%+ row 15 : 15.0 | shizuoka sangyo university | 4,013 | 803 | 101 | 268 | -48.8%+ row 16 : 16.0 | kokushikan university | 3,298 | 414 | 54 | 220 | -28.3%+ row 17 : nan | league total | 123,682 | 3,305 | 48 | 515 | -42.8%+ | table_csv/203_561.csv | 1 | {
"column_index": [
5
],
"row_index": [
10
]
} | [
"what are all the teams?",
"what was the average attendance for jatco fc in 2001?"
] | 1 | 422 | [
"Pos",
"Team",
"Total",
"High",
"Low",
"Average",
"Change"
] | what was the average attendance for jatco fc in 2001? | [
[
"1.0",
"Honda Motor",
"13,178",
"3,305",
"402",
"879",
"-11.9%+"
],
[
"2.0",
"SC Tottori",
"12,281",
"2,124",
"401",
"819",
"n/a+"
],
[
"3.0",
"NTT West Kumamoto",
"10,394",
"1,378",
"324",
"693",
"n/a+"
],
[
"4.0",
"Ehime FC",
"9,896",
"1,250",
"348",
"660",
"n/a+"
],
[
"5.0",
"Tochigi SC",
"9,723",
"1,141",
"285",
"648",
"-38.2%+"
],
[
"6.0",
"Otsuka Pharmaceuticals",
"8,975",
"2,391",
"284",
"598",
"+18.4%+"
],
[
"7.0",
"YKK FC",
"8,093",
"2,477",
"198",
"540",
"n/a+"
],
[
"8.0",
"Sony Sendai",
"7,817",
"886",
"342",
"521",
"-52.3%+"
],
[
"9.0",
"Yokogawa FC",
"7,334",
"1,198",
"240",
"489",
"-30.4%+"
],
[
"10.0",
"ALO's Hokuriku",
"6,380",
"1,801",
"180",
"425",
"-12.1%+"
],
[
"11.0",
"Jatco FC",
"6,329",
"1,075",
"167",
"422",
"-36.7%+"
],
[
"12.0",
"Sagawa Express",
"5,365",
"1,054",
"48",
"358",
"n/a+"
],
[
"13.0",
"Denso SC",
"5,344",
"831",
"119",
"356",
"-17.7%+"
],
[
"14.0",
"Kyoken Kyoto",
"5,262",
"468",
"203",
"351",
"-9.0%+"
],
[
"15.0",
"Shizuoka Sangyo University",
"4,013",
"803",
"101",
"268",
"-48.8%+"
],
[
"16.0",
"Kokushikan University",
"3,298",
"414",
"54",
"220",
"-28.3%+"
],
[
"nan",
"League total",
"123,682",
"3,305",
"48",
"515",
"-42.8%+"
]
] | [
"422"
] | what was the average attendance for jatco fc in 2001? || what are all the teams? |
nt-10672 | col : pos | team | total | high | low | average | change row 1 : 1.0 | honda motor | 13,178 | 3,305 | 402 | 879 | -11.9%+ row 2 : 2.0 | sc tottori | 12,281 | 2,124 | 401 | 819 | n/a+ row 3 : 3.0 | ntt west kumamoto | 10,394 | 1,378 | 324 | 693 | n/a+ row 4 : 4.0 | ehime fc | 9,896 | 1,250 | 348 | 660 | n/a+ row 5 : 5.0 | tochigi sc | 9,723 | 1,141 | 285 | 648 | -38.2%+ row 6 : 6.0 | otsuka pharmaceuticals | 8,975 | 2,391 | 284 | 598 | +18.4%+ row 7 : 7.0 | ykk fc | 8,093 | 2,477 | 198 | 540 | n/a+ row 8 : 8.0 | sony sendai | 7,817 | 886 | 342 | 521 | -52.3%+ row 9 : 9.0 | yokogawa fc | 7,334 | 1,198 | 240 | 489 | -30.4%+ row 10 : 10.0 | alo's hokuriku | 6,380 | 1,801 | 180 | 425 | -12.1%+ row 11 : 11.0 | jatco fc | 6,329 | 1,075 | 167 | 422 | -36.7%+ row 12 : 12.0 | sagawa express | 5,365 | 1,054 | 48 | 358 | n/a+ row 13 : 13.0 | denso sc | 5,344 | 831 | 119 | 356 | -17.7%+ row 14 : 14.0 | kyoken kyoto | 5,262 | 468 | 203 | 351 | -9.0%+ row 15 : 15.0 | shizuoka sangyo university | 4,013 | 803 | 101 | 268 | -48.8%+ row 16 : 16.0 | kokushikan university | 3,298 | 414 | 54 | 220 | -28.3%+ row 17 : nan | league total | 123,682 | 3,305 | 48 | 515 | -42.8%+ | table_csv/203_561.csv | 2 | {
"column_index": [
5
],
"row_index": [
6
]
} | [
"what are all the teams?",
"what was the average attendance for jatco fc in 2001?",
"what was the average attendance for ykk fc in 2001?"
] | 1 | 540 | [
"Pos",
"Team",
"Total",
"High",
"Low",
"Average",
"Change"
] | what was the average attendance for ykk fc in 2001? | [
[
"1.0",
"Honda Motor",
"13,178",
"3,305",
"402",
"879",
"-11.9%+"
],
[
"2.0",
"SC Tottori",
"12,281",
"2,124",
"401",
"819",
"n/a+"
],
[
"3.0",
"NTT West Kumamoto",
"10,394",
"1,378",
"324",
"693",
"n/a+"
],
[
"4.0",
"Ehime FC",
"9,896",
"1,250",
"348",
"660",
"n/a+"
],
[
"5.0",
"Tochigi SC",
"9,723",
"1,141",
"285",
"648",
"-38.2%+"
],
[
"6.0",
"Otsuka Pharmaceuticals",
"8,975",
"2,391",
"284",
"598",
"+18.4%+"
],
[
"7.0",
"YKK FC",
"8,093",
"2,477",
"198",
"540",
"n/a+"
],
[
"8.0",
"Sony Sendai",
"7,817",
"886",
"342",
"521",
"-52.3%+"
],
[
"9.0",
"Yokogawa FC",
"7,334",
"1,198",
"240",
"489",
"-30.4%+"
],
[
"10.0",
"ALO's Hokuriku",
"6,380",
"1,801",
"180",
"425",
"-12.1%+"
],
[
"11.0",
"Jatco FC",
"6,329",
"1,075",
"167",
"422",
"-36.7%+"
],
[
"12.0",
"Sagawa Express",
"5,365",
"1,054",
"48",
"358",
"n/a+"
],
[
"13.0",
"Denso SC",
"5,344",
"831",
"119",
"356",
"-17.7%+"
],
[
"14.0",
"Kyoken Kyoto",
"5,262",
"468",
"203",
"351",
"-9.0%+"
],
[
"15.0",
"Shizuoka Sangyo University",
"4,013",
"803",
"101",
"268",
"-48.8%+"
],
[
"16.0",
"Kokushikan University",
"3,298",
"414",
"54",
"220",
"-28.3%+"
],
[
"nan",
"League total",
"123,682",
"3,305",
"48",
"515",
"-42.8%+"
]
] | [
"540"
] | what was the average attendance for ykk fc in 2001? || what was the average attendance for jatco fc in 2001? | what are all the teams? |
nt-10672 | col : pos | team | total | high | low | average | change row 1 : 1.0 | honda motor | 13,178 | 3,305 | 402 | 879 | -11.9%+ row 2 : 2.0 | sc tottori | 12,281 | 2,124 | 401 | 819 | n/a+ row 3 : 3.0 | ntt west kumamoto | 10,394 | 1,378 | 324 | 693 | n/a+ row 4 : 4.0 | ehime fc | 9,896 | 1,250 | 348 | 660 | n/a+ row 5 : 5.0 | tochigi sc | 9,723 | 1,141 | 285 | 648 | -38.2%+ row 6 : 6.0 | otsuka pharmaceuticals | 8,975 | 2,391 | 284 | 598 | +18.4%+ row 7 : 7.0 | ykk fc | 8,093 | 2,477 | 198 | 540 | n/a+ row 8 : 8.0 | sony sendai | 7,817 | 886 | 342 | 521 | -52.3%+ row 9 : 9.0 | yokogawa fc | 7,334 | 1,198 | 240 | 489 | -30.4%+ row 10 : 10.0 | alo's hokuriku | 6,380 | 1,801 | 180 | 425 | -12.1%+ row 11 : 11.0 | jatco fc | 6,329 | 1,075 | 167 | 422 | -36.7%+ row 12 : 12.0 | sagawa express | 5,365 | 1,054 | 48 | 358 | n/a+ row 13 : 13.0 | denso sc | 5,344 | 831 | 119 | 356 | -17.7%+ row 14 : 14.0 | kyoken kyoto | 5,262 | 468 | 203 | 351 | -9.0%+ row 15 : 15.0 | shizuoka sangyo university | 4,013 | 803 | 101 | 268 | -48.8%+ row 16 : 16.0 | kokushikan university | 3,298 | 414 | 54 | 220 | -28.3%+ row 17 : nan | league total | 123,682 | 3,305 | 48 | 515 | -42.8%+ | table_csv/203_561.csv | 3 | {
"column_index": [
1
],
"row_index": [
6
]
} | [
"what are all the teams?",
"what was the average attendance for jatco fc in 2001?",
"what was the average attendance for ykk fc in 2001?",
"of those, who had the higher attendance average?"
] | 1 | ykk fc | [
"Pos",
"Team",
"Total",
"High",
"Low",
"Average",
"Change"
] | of those, who had the higher attendance average? | [
[
"1.0",
"Honda Motor",
"13,178",
"3,305",
"402",
"879",
"-11.9%+"
],
[
"2.0",
"SC Tottori",
"12,281",
"2,124",
"401",
"819",
"n/a+"
],
[
"3.0",
"NTT West Kumamoto",
"10,394",
"1,378",
"324",
"693",
"n/a+"
],
[
"4.0",
"Ehime FC",
"9,896",
"1,250",
"348",
"660",
"n/a+"
],
[
"5.0",
"Tochigi SC",
"9,723",
"1,141",
"285",
"648",
"-38.2%+"
],
[
"6.0",
"Otsuka Pharmaceuticals",
"8,975",
"2,391",
"284",
"598",
"+18.4%+"
],
[
"7.0",
"YKK FC",
"8,093",
"2,477",
"198",
"540",
"n/a+"
],
[
"8.0",
"Sony Sendai",
"7,817",
"886",
"342",
"521",
"-52.3%+"
],
[
"9.0",
"Yokogawa FC",
"7,334",
"1,198",
"240",
"489",
"-30.4%+"
],
[
"10.0",
"ALO's Hokuriku",
"6,380",
"1,801",
"180",
"425",
"-12.1%+"
],
[
"11.0",
"Jatco FC",
"6,329",
"1,075",
"167",
"422",
"-36.7%+"
],
[
"12.0",
"Sagawa Express",
"5,365",
"1,054",
"48",
"358",
"n/a+"
],
[
"13.0",
"Denso SC",
"5,344",
"831",
"119",
"356",
"-17.7%+"
],
[
"14.0",
"Kyoken Kyoto",
"5,262",
"468",
"203",
"351",
"-9.0%+"
],
[
"15.0",
"Shizuoka Sangyo University",
"4,013",
"803",
"101",
"268",
"-48.8%+"
],
[
"16.0",
"Kokushikan University",
"3,298",
"414",
"54",
"220",
"-28.3%+"
],
[
"nan",
"League total",
"123,682",
"3,305",
"48",
"515",
"-42.8%+"
]
] | [
"YKK FC"
] | of those, who had the higher attendance average? || what was the average attendance for ykk fc in 2001? | what was the average attendance for jatco fc in 2001? | what are all the teams? |
nt-10672 | col : pos | team | total | high | low | average | change row 1 : 1.0 | honda motor | 13,178 | 3,305 | 402 | 879 | -11.9%+ row 2 : 2.0 | sc tottori | 12,281 | 2,124 | 401 | 819 | n/a+ row 3 : 3.0 | ntt west kumamoto | 10,394 | 1,378 | 324 | 693 | n/a+ row 4 : 4.0 | ehime fc | 9,896 | 1,250 | 348 | 660 | n/a+ row 5 : 5.0 | tochigi sc | 9,723 | 1,141 | 285 | 648 | -38.2%+ row 6 : 6.0 | otsuka pharmaceuticals | 8,975 | 2,391 | 284 | 598 | +18.4%+ row 7 : 7.0 | ykk fc | 8,093 | 2,477 | 198 | 540 | n/a+ row 8 : 8.0 | sony sendai | 7,817 | 886 | 342 | 521 | -52.3%+ row 9 : 9.0 | yokogawa fc | 7,334 | 1,198 | 240 | 489 | -30.4%+ row 10 : 10.0 | alo's hokuriku | 6,380 | 1,801 | 180 | 425 | -12.1%+ row 11 : 11.0 | jatco fc | 6,329 | 1,075 | 167 | 422 | -36.7%+ row 12 : 12.0 | sagawa express | 5,365 | 1,054 | 48 | 358 | n/a+ row 13 : 13.0 | denso sc | 5,344 | 831 | 119 | 356 | -17.7%+ row 14 : 14.0 | kyoken kyoto | 5,262 | 468 | 203 | 351 | -9.0%+ row 15 : 15.0 | shizuoka sangyo university | 4,013 | 803 | 101 | 268 | -48.8%+ row 16 : 16.0 | kokushikan university | 3,298 | 414 | 54 | 220 | -28.3%+ row 17 : nan | league total | 123,682 | 3,305 | 48 | 515 | -42.8%+ | table_csv/203_561.csv | 0 | {
"column_index": [
5
],
"row_index": [
10
]
} | [
"what was the higher average attendance in 2001 for jatco fc?"
] | 2 | 422 | [
"Pos",
"Team",
"Total",
"High",
"Low",
"Average",
"Change"
] | what was the higher average attendance in 2001 for jatco fc? | [
[
"1.0",
"Honda Motor",
"13,178",
"3,305",
"402",
"879",
"-11.9%+"
],
[
"2.0",
"SC Tottori",
"12,281",
"2,124",
"401",
"819",
"n/a+"
],
[
"3.0",
"NTT West Kumamoto",
"10,394",
"1,378",
"324",
"693",
"n/a+"
],
[
"4.0",
"Ehime FC",
"9,896",
"1,250",
"348",
"660",
"n/a+"
],
[
"5.0",
"Tochigi SC",
"9,723",
"1,141",
"285",
"648",
"-38.2%+"
],
[
"6.0",
"Otsuka Pharmaceuticals",
"8,975",
"2,391",
"284",
"598",
"+18.4%+"
],
[
"7.0",
"YKK FC",
"8,093",
"2,477",
"198",
"540",
"n/a+"
],
[
"8.0",
"Sony Sendai",
"7,817",
"886",
"342",
"521",
"-52.3%+"
],
[
"9.0",
"Yokogawa FC",
"7,334",
"1,198",
"240",
"489",
"-30.4%+"
],
[
"10.0",
"ALO's Hokuriku",
"6,380",
"1,801",
"180",
"425",
"-12.1%+"
],
[
"11.0",
"Jatco FC",
"6,329",
"1,075",
"167",
"422",
"-36.7%+"
],
[
"12.0",
"Sagawa Express",
"5,365",
"1,054",
"48",
"358",
"n/a+"
],
[
"13.0",
"Denso SC",
"5,344",
"831",
"119",
"356",
"-17.7%+"
],
[
"14.0",
"Kyoken Kyoto",
"5,262",
"468",
"203",
"351",
"-9.0%+"
],
[
"15.0",
"Shizuoka Sangyo University",
"4,013",
"803",
"101",
"268",
"-48.8%+"
],
[
"16.0",
"Kokushikan University",
"3,298",
"414",
"54",
"220",
"-28.3%+"
],
[
"nan",
"League total",
"123,682",
"3,305",
"48",
"515",
"-42.8%+"
]
] | [
"422"
] | what was the higher average attendance in 2001 for jatco fc? || |
nt-10672 | col : pos | team | total | high | low | average | change row 1 : 1.0 | honda motor | 13,178 | 3,305 | 402 | 879 | -11.9%+ row 2 : 2.0 | sc tottori | 12,281 | 2,124 | 401 | 819 | n/a+ row 3 : 3.0 | ntt west kumamoto | 10,394 | 1,378 | 324 | 693 | n/a+ row 4 : 4.0 | ehime fc | 9,896 | 1,250 | 348 | 660 | n/a+ row 5 : 5.0 | tochigi sc | 9,723 | 1,141 | 285 | 648 | -38.2%+ row 6 : 6.0 | otsuka pharmaceuticals | 8,975 | 2,391 | 284 | 598 | +18.4%+ row 7 : 7.0 | ykk fc | 8,093 | 2,477 | 198 | 540 | n/a+ row 8 : 8.0 | sony sendai | 7,817 | 886 | 342 | 521 | -52.3%+ row 9 : 9.0 | yokogawa fc | 7,334 | 1,198 | 240 | 489 | -30.4%+ row 10 : 10.0 | alo's hokuriku | 6,380 | 1,801 | 180 | 425 | -12.1%+ row 11 : 11.0 | jatco fc | 6,329 | 1,075 | 167 | 422 | -36.7%+ row 12 : 12.0 | sagawa express | 5,365 | 1,054 | 48 | 358 | n/a+ row 13 : 13.0 | denso sc | 5,344 | 831 | 119 | 356 | -17.7%+ row 14 : 14.0 | kyoken kyoto | 5,262 | 468 | 203 | 351 | -9.0%+ row 15 : 15.0 | shizuoka sangyo university | 4,013 | 803 | 101 | 268 | -48.8%+ row 16 : 16.0 | kokushikan university | 3,298 | 414 | 54 | 220 | -28.3%+ row 17 : nan | league total | 123,682 | 3,305 | 48 | 515 | -42.8%+ | table_csv/203_561.csv | 1 | {
"column_index": [
5
],
"row_index": [
6
]
} | [
"what was the higher average attendance in 2001 for jatco fc?",
"what was the higher average attendance in 2001 for ykk fc?"
] | 2 | 540 | [
"Pos",
"Team",
"Total",
"High",
"Low",
"Average",
"Change"
] | what was the higher average attendance in 2001 for ykk fc? | [
[
"1.0",
"Honda Motor",
"13,178",
"3,305",
"402",
"879",
"-11.9%+"
],
[
"2.0",
"SC Tottori",
"12,281",
"2,124",
"401",
"819",
"n/a+"
],
[
"3.0",
"NTT West Kumamoto",
"10,394",
"1,378",
"324",
"693",
"n/a+"
],
[
"4.0",
"Ehime FC",
"9,896",
"1,250",
"348",
"660",
"n/a+"
],
[
"5.0",
"Tochigi SC",
"9,723",
"1,141",
"285",
"648",
"-38.2%+"
],
[
"6.0",
"Otsuka Pharmaceuticals",
"8,975",
"2,391",
"284",
"598",
"+18.4%+"
],
[
"7.0",
"YKK FC",
"8,093",
"2,477",
"198",
"540",
"n/a+"
],
[
"8.0",
"Sony Sendai",
"7,817",
"886",
"342",
"521",
"-52.3%+"
],
[
"9.0",
"Yokogawa FC",
"7,334",
"1,198",
"240",
"489",
"-30.4%+"
],
[
"10.0",
"ALO's Hokuriku",
"6,380",
"1,801",
"180",
"425",
"-12.1%+"
],
[
"11.0",
"Jatco FC",
"6,329",
"1,075",
"167",
"422",
"-36.7%+"
],
[
"12.0",
"Sagawa Express",
"5,365",
"1,054",
"48",
"358",
"n/a+"
],
[
"13.0",
"Denso SC",
"5,344",
"831",
"119",
"356",
"-17.7%+"
],
[
"14.0",
"Kyoken Kyoto",
"5,262",
"468",
"203",
"351",
"-9.0%+"
],
[
"15.0",
"Shizuoka Sangyo University",
"4,013",
"803",
"101",
"268",
"-48.8%+"
],
[
"16.0",
"Kokushikan University",
"3,298",
"414",
"54",
"220",
"-28.3%+"
],
[
"nan",
"League total",
"123,682",
"3,305",
"48",
"515",
"-42.8%+"
]
] | [
"540"
] | what was the higher average attendance in 2001 for ykk fc? || what was the higher average attendance in 2001 for jatco fc? |
nt-10672 | col : pos | team | total | high | low | average | change row 1 : 1.0 | honda motor | 13,178 | 3,305 | 402 | 879 | -11.9%+ row 2 : 2.0 | sc tottori | 12,281 | 2,124 | 401 | 819 | n/a+ row 3 : 3.0 | ntt west kumamoto | 10,394 | 1,378 | 324 | 693 | n/a+ row 4 : 4.0 | ehime fc | 9,896 | 1,250 | 348 | 660 | n/a+ row 5 : 5.0 | tochigi sc | 9,723 | 1,141 | 285 | 648 | -38.2%+ row 6 : 6.0 | otsuka pharmaceuticals | 8,975 | 2,391 | 284 | 598 | +18.4%+ row 7 : 7.0 | ykk fc | 8,093 | 2,477 | 198 | 540 | n/a+ row 8 : 8.0 | sony sendai | 7,817 | 886 | 342 | 521 | -52.3%+ row 9 : 9.0 | yokogawa fc | 7,334 | 1,198 | 240 | 489 | -30.4%+ row 10 : 10.0 | alo's hokuriku | 6,380 | 1,801 | 180 | 425 | -12.1%+ row 11 : 11.0 | jatco fc | 6,329 | 1,075 | 167 | 422 | -36.7%+ row 12 : 12.0 | sagawa express | 5,365 | 1,054 | 48 | 358 | n/a+ row 13 : 13.0 | denso sc | 5,344 | 831 | 119 | 356 | -17.7%+ row 14 : 14.0 | kyoken kyoto | 5,262 | 468 | 203 | 351 | -9.0%+ row 15 : 15.0 | shizuoka sangyo university | 4,013 | 803 | 101 | 268 | -48.8%+ row 16 : 16.0 | kokushikan university | 3,298 | 414 | 54 | 220 | -28.3%+ row 17 : nan | league total | 123,682 | 3,305 | 48 | 515 | -42.8%+ | table_csv/203_561.csv | 2 | {
"column_index": [
1
],
"row_index": [
6
]
} | [
"what was the higher average attendance in 2001 for jatco fc?",
"what was the higher average attendance in 2001 for ykk fc?",
"between jatco fc and ykk fc, who had a higher average attendance rate?"
] | 2 | ykk fc | [
"Pos",
"Team",
"Total",
"High",
"Low",
"Average",
"Change"
] | between jatco fc and ykk fc, who had a higher average attendance rate? | [
[
"1.0",
"Honda Motor",
"13,178",
"3,305",
"402",
"879",
"-11.9%+"
],
[
"2.0",
"SC Tottori",
"12,281",
"2,124",
"401",
"819",
"n/a+"
],
[
"3.0",
"NTT West Kumamoto",
"10,394",
"1,378",
"324",
"693",
"n/a+"
],
[
"4.0",
"Ehime FC",
"9,896",
"1,250",
"348",
"660",
"n/a+"
],
[
"5.0",
"Tochigi SC",
"9,723",
"1,141",
"285",
"648",
"-38.2%+"
],
[
"6.0",
"Otsuka Pharmaceuticals",
"8,975",
"2,391",
"284",
"598",
"+18.4%+"
],
[
"7.0",
"YKK FC",
"8,093",
"2,477",
"198",
"540",
"n/a+"
],
[
"8.0",
"Sony Sendai",
"7,817",
"886",
"342",
"521",
"-52.3%+"
],
[
"9.0",
"Yokogawa FC",
"7,334",
"1,198",
"240",
"489",
"-30.4%+"
],
[
"10.0",
"ALO's Hokuriku",
"6,380",
"1,801",
"180",
"425",
"-12.1%+"
],
[
"11.0",
"Jatco FC",
"6,329",
"1,075",
"167",
"422",
"-36.7%+"
],
[
"12.0",
"Sagawa Express",
"5,365",
"1,054",
"48",
"358",
"n/a+"
],
[
"13.0",
"Denso SC",
"5,344",
"831",
"119",
"356",
"-17.7%+"
],
[
"14.0",
"Kyoken Kyoto",
"5,262",
"468",
"203",
"351",
"-9.0%+"
],
[
"15.0",
"Shizuoka Sangyo University",
"4,013",
"803",
"101",
"268",
"-48.8%+"
],
[
"16.0",
"Kokushikan University",
"3,298",
"414",
"54",
"220",
"-28.3%+"
],
[
"nan",
"League total",
"123,682",
"3,305",
"48",
"515",
"-42.8%+"
]
] | [
"YKK FC"
] | between jatco fc and ykk fc, who had a higher average attendance rate? || what was the higher average attendance in 2001 for ykk fc? | what was the higher average attendance in 2001 for jatco fc? |
nt-778 | col : week of | tournament | champions | runners-up | semifinalists | quarterfinalists row 1 : 7 november | topper south american open buenos aires, argentina atp world | alex corretja 6-3 5-7 7-6(5) | javier frana | francisco clavet karel novacek | alberto berasategui luiz mattar slava do row 2 : 7 november | topper south american open buenos aires, argentina atp world | sergio casal emilio sanchez 6-3 6-2 | tomas carbonell francisco roig | francisco clavet karel novacek | alberto berasategui luiz mattar slava do row 3 : 7 november | kremlin cup moscow, russia atp world series $1,100 | alexander volkov 6-2 6-4 | chuck adams | jacco eltingh marc rosset | petr korda daniel vacek yevgeny kafel row 4 : 7 november | kremlin cup moscow, russia atp world series $1,100 | jacco eltingh paul haarhuis w/o | david adams andrei olhovskiy | jacco eltingh marc rosset | petr korda daniel vacek yevgeny kafel row 5 : 7 november | european community championships antwerp, belgium atp world series $1, | pete sampras 7-6(5) 6-4 | magnus larsson | jared palmer olivier delaitre | byron black patrick rafter jonas bjorkman sebas row 6 : 7 november | european community championships antwerp, belgium atp world series $1, | jan apell jonas bjorkman 4-6 6-1 | hendrik jan davids sebastien lareau | jared palmer olivier delaitre | byron black patrick rafter jonas bjorkman sebas row 7 : 14 november | ibm atp tour world championships singles frankfurt, germany (sing | pete sampras 4-6 6-3 7-5 6-4 | boris becker | andre agassi sergi bruguera | michael chang alberto berasategui stefan edberg goran i row 8 : 21 november | ibm atp tour world championships doubles jakarta, indonesia atp championship | jan apell jonas bjorkman 6-4 4-6 | todd woodbridge mark woodforde | david adams / andrei olhovskiy jacco eltingh | david adams / andrei olhovskiy jacco eltingh row 9 : 28 november | davis cup by nec: final moscow - carpet | sweden 4-1 | russia | nan | nan | table_csv/204_351.csv | 0 | {
"column_index": [
2
],
"row_index": [
8
]
} | [
"who was the champion the week of november 28?"
] | 0 | sweden 4-1 | [
"Week of",
"Tournament",
"Champions",
"Runners-up",
"Semifinalists",
"Quarterfinalists"
] | who was the champion the week of november 28? | [
[
"7 November",
"Topper South American Open Buenos Aires, Argentina ATP World",
"Alex Corretja 6-3 5-7 7-6(5)",
"Javier Frana",
"Francisco Clavet Karel Novacek",
"Alberto Berasategui Luiz Mattar Slava Do"
],
[
"7 November",
"Topper South American Open Buenos Aires, Argentina ATP World",
"Sergio Casal Emilio Sanchez 6-3 6-2",
"Tomas Carbonell Francisco Roig",
"Francisco Clavet Karel Novacek",
"Alberto Berasategui Luiz Mattar Slava Do"
],
[
"7 November",
"Kremlin Cup Moscow, Russia ATP World Series $1,100",
"Alexander Volkov 6-2 6-4",
"Chuck Adams",
"Jacco Eltingh Marc Rosset",
"Petr Korda Daniel Vacek Yevgeny Kafel"
],
[
"7 November",
"Kremlin Cup Moscow, Russia ATP World Series $1,100",
"Jacco Eltingh Paul Haarhuis W/O",
"David Adams Andrei Olhovskiy",
"Jacco Eltingh Marc Rosset",
"Petr Korda Daniel Vacek Yevgeny Kafel"
],
[
"7 November",
"European Community Championships Antwerp, Belgium ATP World Series $1,",
"Pete Sampras 7-6(5) 6-4",
"Magnus Larsson",
"Jared Palmer Olivier Delaitre",
"Byron Black Patrick Rafter Jonas Bjorkman Sebas"
],
[
"7 November",
"European Community Championships Antwerp, Belgium ATP World Series $1,",
"Jan Apell Jonas Bjorkman 4-6 6-1",
"Hendrik Jan Davids Sebastien Lareau",
"Jared Palmer Olivier Delaitre",
"Byron Black Patrick Rafter Jonas Bjorkman Sebas"
],
[
"14 November",
"IBM ATP Tour World Championships Singles Frankfurt, Germany (sing",
"Pete Sampras 4-6 6-3 7-5 6-4",
"Boris Becker",
"Andre Agassi Sergi Bruguera",
"Michael Chang Alberto Berasategui Stefan Edberg Goran I"
],
[
"21 November",
"IBM ATP Tour World Championships Doubles Jakarta, Indonesia ATP Championship",
"Jan Apell Jonas Bjorkman 6-4 4-6",
"Todd Woodbridge Mark Woodforde",
"David Adams / Andrei Olhovskiy Jacco Eltingh",
"David Adams / Andrei Olhovskiy Jacco Eltingh"
],
[
"28 November",
"Davis Cup by NEC: Final Moscow - Carpet",
"Sweden 4-1",
"Russia",
"nan",
"nan"
]
] | [
"Sweden 4-1"
] | who was the champion the week of november 28? || |
nt-778 | col : week of | tournament | champions | runners-up | semifinalists | quarterfinalists row 1 : 7 november | topper south american open buenos aires, argentina atp world | alex corretja 6-3 5-7 7-6(5) | javier frana | francisco clavet karel novacek | alberto berasategui luiz mattar slava do row 2 : 7 november | topper south american open buenos aires, argentina atp world | sergio casal emilio sanchez 6-3 6-2 | tomas carbonell francisco roig | francisco clavet karel novacek | alberto berasategui luiz mattar slava do row 3 : 7 november | kremlin cup moscow, russia atp world series $1,100 | alexander volkov 6-2 6-4 | chuck adams | jacco eltingh marc rosset | petr korda daniel vacek yevgeny kafel row 4 : 7 november | kremlin cup moscow, russia atp world series $1,100 | jacco eltingh paul haarhuis w/o | david adams andrei olhovskiy | jacco eltingh marc rosset | petr korda daniel vacek yevgeny kafel row 5 : 7 november | european community championships antwerp, belgium atp world series $1, | pete sampras 7-6(5) 6-4 | magnus larsson | jared palmer olivier delaitre | byron black patrick rafter jonas bjorkman sebas row 6 : 7 november | european community championships antwerp, belgium atp world series $1, | jan apell jonas bjorkman 4-6 6-1 | hendrik jan davids sebastien lareau | jared palmer olivier delaitre | byron black patrick rafter jonas bjorkman sebas row 7 : 14 november | ibm atp tour world championships singles frankfurt, germany (sing | pete sampras 4-6 6-3 7-5 6-4 | boris becker | andre agassi sergi bruguera | michael chang alberto berasategui stefan edberg goran i row 8 : 21 november | ibm atp tour world championships doubles jakarta, indonesia atp championship | jan apell jonas bjorkman 6-4 4-6 | todd woodbridge mark woodforde | david adams / andrei olhovskiy jacco eltingh | david adams / andrei olhovskiy jacco eltingh row 9 : 28 november | davis cup by nec: final moscow - carpet | sweden 4-1 | russia | nan | nan | table_csv/204_351.csv | 1 | {
"column_index": [
3
],
"row_index": [
8
]
} | [
"who was the champion the week of november 28?",
"that same week, who was the runner up?"
] | 0 | russia | [
"Week of",
"Tournament",
"Champions",
"Runners-up",
"Semifinalists",
"Quarterfinalists"
] | that same week, who was the runner up? | [
[
"7 November",
"Topper South American Open Buenos Aires, Argentina ATP World",
"Alex Corretja 6-3 5-7 7-6(5)",
"Javier Frana",
"Francisco Clavet Karel Novacek",
"Alberto Berasategui Luiz Mattar Slava Do"
],
[
"7 November",
"Topper South American Open Buenos Aires, Argentina ATP World",
"Sergio Casal Emilio Sanchez 6-3 6-2",
"Tomas Carbonell Francisco Roig",
"Francisco Clavet Karel Novacek",
"Alberto Berasategui Luiz Mattar Slava Do"
],
[
"7 November",
"Kremlin Cup Moscow, Russia ATP World Series $1,100",
"Alexander Volkov 6-2 6-4",
"Chuck Adams",
"Jacco Eltingh Marc Rosset",
"Petr Korda Daniel Vacek Yevgeny Kafel"
],
[
"7 November",
"Kremlin Cup Moscow, Russia ATP World Series $1,100",
"Jacco Eltingh Paul Haarhuis W/O",
"David Adams Andrei Olhovskiy",
"Jacco Eltingh Marc Rosset",
"Petr Korda Daniel Vacek Yevgeny Kafel"
],
[
"7 November",
"European Community Championships Antwerp, Belgium ATP World Series $1,",
"Pete Sampras 7-6(5) 6-4",
"Magnus Larsson",
"Jared Palmer Olivier Delaitre",
"Byron Black Patrick Rafter Jonas Bjorkman Sebas"
],
[
"7 November",
"European Community Championships Antwerp, Belgium ATP World Series $1,",
"Jan Apell Jonas Bjorkman 4-6 6-1",
"Hendrik Jan Davids Sebastien Lareau",
"Jared Palmer Olivier Delaitre",
"Byron Black Patrick Rafter Jonas Bjorkman Sebas"
],
[
"14 November",
"IBM ATP Tour World Championships Singles Frankfurt, Germany (sing",
"Pete Sampras 4-6 6-3 7-5 6-4",
"Boris Becker",
"Andre Agassi Sergi Bruguera",
"Michael Chang Alberto Berasategui Stefan Edberg Goran I"
],
[
"21 November",
"IBM ATP Tour World Championships Doubles Jakarta, Indonesia ATP Championship",
"Jan Apell Jonas Bjorkman 6-4 4-6",
"Todd Woodbridge Mark Woodforde",
"David Adams / Andrei Olhovskiy Jacco Eltingh",
"David Adams / Andrei Olhovskiy Jacco Eltingh"
],
[
"28 November",
"Davis Cup by NEC: Final Moscow - Carpet",
"Sweden 4-1",
"Russia",
"nan",
"nan"
]
] | [
"Russia"
] | that same week, who was the runner up? || who was the champion the week of november 28? |
nt-778 | col : week of | tournament | champions | runners-up | semifinalists | quarterfinalists row 1 : 7 november | topper south american open buenos aires, argentina atp world | alex corretja 6-3 5-7 7-6(5) | javier frana | francisco clavet karel novacek | alberto berasategui luiz mattar slava do row 2 : 7 november | topper south american open buenos aires, argentina atp world | sergio casal emilio sanchez 6-3 6-2 | tomas carbonell francisco roig | francisco clavet karel novacek | alberto berasategui luiz mattar slava do row 3 : 7 november | kremlin cup moscow, russia atp world series $1,100 | alexander volkov 6-2 6-4 | chuck adams | jacco eltingh marc rosset | petr korda daniel vacek yevgeny kafel row 4 : 7 november | kremlin cup moscow, russia atp world series $1,100 | jacco eltingh paul haarhuis w/o | david adams andrei olhovskiy | jacco eltingh marc rosset | petr korda daniel vacek yevgeny kafel row 5 : 7 november | european community championships antwerp, belgium atp world series $1, | pete sampras 7-6(5) 6-4 | magnus larsson | jared palmer olivier delaitre | byron black patrick rafter jonas bjorkman sebas row 6 : 7 november | european community championships antwerp, belgium atp world series $1, | jan apell jonas bjorkman 4-6 6-1 | hendrik jan davids sebastien lareau | jared palmer olivier delaitre | byron black patrick rafter jonas bjorkman sebas row 7 : 14 november | ibm atp tour world championships singles frankfurt, germany (sing | pete sampras 4-6 6-3 7-5 6-4 | boris becker | andre agassi sergi bruguera | michael chang alberto berasategui stefan edberg goran i row 8 : 21 november | ibm atp tour world championships doubles jakarta, indonesia atp championship | jan apell jonas bjorkman 6-4 4-6 | todd woodbridge mark woodforde | david adams / andrei olhovskiy jacco eltingh | david adams / andrei olhovskiy jacco eltingh row 9 : 28 november | davis cup by nec: final moscow - carpet | sweden 4-1 | russia | nan | nan | table_csv/204_351.csv | 0 | {
"column_index": [
0,
0,
0,
0
],
"row_index": [
0,
1,
6,
8
]
} | [
"in what weeks where there no semifinalists whose name starts with j?"
] | 1 | 7 november, 7 november, 14 november, 28 november | [
"Week of",
"Tournament",
"Champions",
"Runners-up",
"Semifinalists",
"Quarterfinalists"
] | in what weeks where there no semifinalists whose name starts with j? | [
[
"7 November",
"Topper South American Open Buenos Aires, Argentina ATP World",
"Alex Corretja 6-3 5-7 7-6(5)",
"Javier Frana",
"Francisco Clavet Karel Novacek",
"Alberto Berasategui Luiz Mattar Slava Do"
],
[
"7 November",
"Topper South American Open Buenos Aires, Argentina ATP World",
"Sergio Casal Emilio Sanchez 6-3 6-2",
"Tomas Carbonell Francisco Roig",
"Francisco Clavet Karel Novacek",
"Alberto Berasategui Luiz Mattar Slava Do"
],
[
"7 November",
"Kremlin Cup Moscow, Russia ATP World Series $1,100",
"Alexander Volkov 6-2 6-4",
"Chuck Adams",
"Jacco Eltingh Marc Rosset",
"Petr Korda Daniel Vacek Yevgeny Kafel"
],
[
"7 November",
"Kremlin Cup Moscow, Russia ATP World Series $1,100",
"Jacco Eltingh Paul Haarhuis W/O",
"David Adams Andrei Olhovskiy",
"Jacco Eltingh Marc Rosset",
"Petr Korda Daniel Vacek Yevgeny Kafel"
],
[
"7 November",
"European Community Championships Antwerp, Belgium ATP World Series $1,",
"Pete Sampras 7-6(5) 6-4",
"Magnus Larsson",
"Jared Palmer Olivier Delaitre",
"Byron Black Patrick Rafter Jonas Bjorkman Sebas"
],
[
"7 November",
"European Community Championships Antwerp, Belgium ATP World Series $1,",
"Jan Apell Jonas Bjorkman 4-6 6-1",
"Hendrik Jan Davids Sebastien Lareau",
"Jared Palmer Olivier Delaitre",
"Byron Black Patrick Rafter Jonas Bjorkman Sebas"
],
[
"14 November",
"IBM ATP Tour World Championships Singles Frankfurt, Germany (sing",
"Pete Sampras 4-6 6-3 7-5 6-4",
"Boris Becker",
"Andre Agassi Sergi Bruguera",
"Michael Chang Alberto Berasategui Stefan Edberg Goran I"
],
[
"21 November",
"IBM ATP Tour World Championships Doubles Jakarta, Indonesia ATP Championship",
"Jan Apell Jonas Bjorkman 6-4 4-6",
"Todd Woodbridge Mark Woodforde",
"David Adams / Andrei Olhovskiy Jacco Eltingh",
"David Adams / Andrei Olhovskiy Jacco Eltingh"
],
[
"28 November",
"Davis Cup by NEC: Final Moscow - Carpet",
"Sweden 4-1",
"Russia",
"nan",
"nan"
]
] | [
"7 November",
"7 November",
"14 November",
"28 November"
] | in what weeks where there no semifinalists whose name starts with j? || |
nt-778 | col : week of | tournament | champions | runners-up | semifinalists | quarterfinalists row 1 : 7 november | topper south american open buenos aires, argentina atp world | alex corretja 6-3 5-7 7-6(5) | javier frana | francisco clavet karel novacek | alberto berasategui luiz mattar slava do row 2 : 7 november | topper south american open buenos aires, argentina atp world | sergio casal emilio sanchez 6-3 6-2 | tomas carbonell francisco roig | francisco clavet karel novacek | alberto berasategui luiz mattar slava do row 3 : 7 november | kremlin cup moscow, russia atp world series $1,100 | alexander volkov 6-2 6-4 | chuck adams | jacco eltingh marc rosset | petr korda daniel vacek yevgeny kafel row 4 : 7 november | kremlin cup moscow, russia atp world series $1,100 | jacco eltingh paul haarhuis w/o | david adams andrei olhovskiy | jacco eltingh marc rosset | petr korda daniel vacek yevgeny kafel row 5 : 7 november | european community championships antwerp, belgium atp world series $1, | pete sampras 7-6(5) 6-4 | magnus larsson | jared palmer olivier delaitre | byron black patrick rafter jonas bjorkman sebas row 6 : 7 november | european community championships antwerp, belgium atp world series $1, | jan apell jonas bjorkman 4-6 6-1 | hendrik jan davids sebastien lareau | jared palmer olivier delaitre | byron black patrick rafter jonas bjorkman sebas row 7 : 14 november | ibm atp tour world championships singles frankfurt, germany (sing | pete sampras 4-6 6-3 7-5 6-4 | boris becker | andre agassi sergi bruguera | michael chang alberto berasategui stefan edberg goran i row 8 : 21 november | ibm atp tour world championships doubles jakarta, indonesia atp championship | jan apell jonas bjorkman 6-4 4-6 | todd woodbridge mark woodforde | david adams / andrei olhovskiy jacco eltingh | david adams / andrei olhovskiy jacco eltingh row 9 : 28 november | davis cup by nec: final moscow - carpet | sweden 4-1 | russia | nan | nan | table_csv/204_351.csv | 1 | {
"column_index": [
1,
1
],
"row_index": [
6,
8
]
} | [
"in what weeks where there no semifinalists whose name starts with j?",
"what tournaments were held in week that there were no semifinalists whose names that begin with j that were not in the first week?"
] | 1 | ibm atp tour world championships singles frankfurt, germany (sing, davis cup by nec: final moscow - carpet | [
"Week of",
"Tournament",
"Champions",
"Runners-up",
"Semifinalists",
"Quarterfinalists"
] | what tournaments were held in week that there were no semifinalists whose names that begin with j that were not in the first week? | [
[
"7 November",
"Topper South American Open Buenos Aires, Argentina ATP World",
"Alex Corretja 6-3 5-7 7-6(5)",
"Javier Frana",
"Francisco Clavet Karel Novacek",
"Alberto Berasategui Luiz Mattar Slava Do"
],
[
"7 November",
"Topper South American Open Buenos Aires, Argentina ATP World",
"Sergio Casal Emilio Sanchez 6-3 6-2",
"Tomas Carbonell Francisco Roig",
"Francisco Clavet Karel Novacek",
"Alberto Berasategui Luiz Mattar Slava Do"
],
[
"7 November",
"Kremlin Cup Moscow, Russia ATP World Series $1,100",
"Alexander Volkov 6-2 6-4",
"Chuck Adams",
"Jacco Eltingh Marc Rosset",
"Petr Korda Daniel Vacek Yevgeny Kafel"
],
[
"7 November",
"Kremlin Cup Moscow, Russia ATP World Series $1,100",
"Jacco Eltingh Paul Haarhuis W/O",
"David Adams Andrei Olhovskiy",
"Jacco Eltingh Marc Rosset",
"Petr Korda Daniel Vacek Yevgeny Kafel"
],
[
"7 November",
"European Community Championships Antwerp, Belgium ATP World Series $1,",
"Pete Sampras 7-6(5) 6-4",
"Magnus Larsson",
"Jared Palmer Olivier Delaitre",
"Byron Black Patrick Rafter Jonas Bjorkman Sebas"
],
[
"7 November",
"European Community Championships Antwerp, Belgium ATP World Series $1,",
"Jan Apell Jonas Bjorkman 4-6 6-1",
"Hendrik Jan Davids Sebastien Lareau",
"Jared Palmer Olivier Delaitre",
"Byron Black Patrick Rafter Jonas Bjorkman Sebas"
],
[
"14 November",
"IBM ATP Tour World Championships Singles Frankfurt, Germany (sing",
"Pete Sampras 4-6 6-3 7-5 6-4",
"Boris Becker",
"Andre Agassi Sergi Bruguera",
"Michael Chang Alberto Berasategui Stefan Edberg Goran I"
],
[
"21 November",
"IBM ATP Tour World Championships Doubles Jakarta, Indonesia ATP Championship",
"Jan Apell Jonas Bjorkman 6-4 4-6",
"Todd Woodbridge Mark Woodforde",
"David Adams / Andrei Olhovskiy Jacco Eltingh",
"David Adams / Andrei Olhovskiy Jacco Eltingh"
],
[
"28 November",
"Davis Cup by NEC: Final Moscow - Carpet",
"Sweden 4-1",
"Russia",
"nan",
"nan"
]
] | [
"IBM ATP Tour World Championships Singles Frankfurt, Germany (sing",
"Davis Cup by NEC: Final Moscow - Carpet"
] | what tournaments were held in week that there were no semifinalists whose names that begin with j that were not in the first week? || in what weeks where there no semifinalists whose name starts with j? |
nt-778 | col : week of | tournament | champions | runners-up | semifinalists | quarterfinalists row 1 : 7 november | topper south american open buenos aires, argentina atp world | alex corretja 6-3 5-7 7-6(5) | javier frana | francisco clavet karel novacek | alberto berasategui luiz mattar slava do row 2 : 7 november | topper south american open buenos aires, argentina atp world | sergio casal emilio sanchez 6-3 6-2 | tomas carbonell francisco roig | francisco clavet karel novacek | alberto berasategui luiz mattar slava do row 3 : 7 november | kremlin cup moscow, russia atp world series $1,100 | alexander volkov 6-2 6-4 | chuck adams | jacco eltingh marc rosset | petr korda daniel vacek yevgeny kafel row 4 : 7 november | kremlin cup moscow, russia atp world series $1,100 | jacco eltingh paul haarhuis w/o | david adams andrei olhovskiy | jacco eltingh marc rosset | petr korda daniel vacek yevgeny kafel row 5 : 7 november | european community championships antwerp, belgium atp world series $1, | pete sampras 7-6(5) 6-4 | magnus larsson | jared palmer olivier delaitre | byron black patrick rafter jonas bjorkman sebas row 6 : 7 november | european community championships antwerp, belgium atp world series $1, | jan apell jonas bjorkman 4-6 6-1 | hendrik jan davids sebastien lareau | jared palmer olivier delaitre | byron black patrick rafter jonas bjorkman sebas row 7 : 14 november | ibm atp tour world championships singles frankfurt, germany (sing | pete sampras 4-6 6-3 7-5 6-4 | boris becker | andre agassi sergi bruguera | michael chang alberto berasategui stefan edberg goran i row 8 : 21 november | ibm atp tour world championships doubles jakarta, indonesia atp championship | jan apell jonas bjorkman 6-4 4-6 | todd woodbridge mark woodforde | david adams / andrei olhovskiy jacco eltingh | david adams / andrei olhovskiy jacco eltingh row 9 : 28 november | davis cup by nec: final moscow - carpet | sweden 4-1 | russia | nan | nan | table_csv/204_351.csv | 2 | {
"column_index": [
3
],
"row_index": [
8
]
} | [
"in what weeks where there no semifinalists whose name starts with j?",
"what tournaments were held in week that there were no semifinalists whose names that begin with j that were not in the first week?",
"who was the last runner up in the november 1994 atp tournaments that had no j named semifinalists?"
] | 1 | russia | [
"Week of",
"Tournament",
"Champions",
"Runners-up",
"Semifinalists",
"Quarterfinalists"
] | who was the last runner up in the november 1994 atp tournaments that had no j named semifinalists? | [
[
"7 November",
"Topper South American Open Buenos Aires, Argentina ATP World",
"Alex Corretja 6-3 5-7 7-6(5)",
"Javier Frana",
"Francisco Clavet Karel Novacek",
"Alberto Berasategui Luiz Mattar Slava Do"
],
[
"7 November",
"Topper South American Open Buenos Aires, Argentina ATP World",
"Sergio Casal Emilio Sanchez 6-3 6-2",
"Tomas Carbonell Francisco Roig",
"Francisco Clavet Karel Novacek",
"Alberto Berasategui Luiz Mattar Slava Do"
],
[
"7 November",
"Kremlin Cup Moscow, Russia ATP World Series $1,100",
"Alexander Volkov 6-2 6-4",
"Chuck Adams",
"Jacco Eltingh Marc Rosset",
"Petr Korda Daniel Vacek Yevgeny Kafel"
],
[
"7 November",
"Kremlin Cup Moscow, Russia ATP World Series $1,100",
"Jacco Eltingh Paul Haarhuis W/O",
"David Adams Andrei Olhovskiy",
"Jacco Eltingh Marc Rosset",
"Petr Korda Daniel Vacek Yevgeny Kafel"
],
[
"7 November",
"European Community Championships Antwerp, Belgium ATP World Series $1,",
"Pete Sampras 7-6(5) 6-4",
"Magnus Larsson",
"Jared Palmer Olivier Delaitre",
"Byron Black Patrick Rafter Jonas Bjorkman Sebas"
],
[
"7 November",
"European Community Championships Antwerp, Belgium ATP World Series $1,",
"Jan Apell Jonas Bjorkman 4-6 6-1",
"Hendrik Jan Davids Sebastien Lareau",
"Jared Palmer Olivier Delaitre",
"Byron Black Patrick Rafter Jonas Bjorkman Sebas"
],
[
"14 November",
"IBM ATP Tour World Championships Singles Frankfurt, Germany (sing",
"Pete Sampras 4-6 6-3 7-5 6-4",
"Boris Becker",
"Andre Agassi Sergi Bruguera",
"Michael Chang Alberto Berasategui Stefan Edberg Goran I"
],
[
"21 November",
"IBM ATP Tour World Championships Doubles Jakarta, Indonesia ATP Championship",
"Jan Apell Jonas Bjorkman 6-4 4-6",
"Todd Woodbridge Mark Woodforde",
"David Adams / Andrei Olhovskiy Jacco Eltingh",
"David Adams / Andrei Olhovskiy Jacco Eltingh"
],
[
"28 November",
"Davis Cup by NEC: Final Moscow - Carpet",
"Sweden 4-1",
"Russia",
"nan",
"nan"
]
] | [
"Russia"
] | who was the last runner up in the november 1994 atp tournaments that had no j named semifinalists? || what tournaments were held in week that there were no semifinalists whose names that begin with j that were not in the first week? | in what weeks where there no semifinalists whose name starts with j? |
nt-778 | col : week of | tournament | champions | runners-up | semifinalists | quarterfinalists row 1 : 7 november | topper south american open buenos aires, argentina atp world | alex corretja 6-3 5-7 7-6(5) | javier frana | francisco clavet karel novacek | alberto berasategui luiz mattar slava do row 2 : 7 november | topper south american open buenos aires, argentina atp world | sergio casal emilio sanchez 6-3 6-2 | tomas carbonell francisco roig | francisco clavet karel novacek | alberto berasategui luiz mattar slava do row 3 : 7 november | kremlin cup moscow, russia atp world series $1,100 | alexander volkov 6-2 6-4 | chuck adams | jacco eltingh marc rosset | petr korda daniel vacek yevgeny kafel row 4 : 7 november | kremlin cup moscow, russia atp world series $1,100 | jacco eltingh paul haarhuis w/o | david adams andrei olhovskiy | jacco eltingh marc rosset | petr korda daniel vacek yevgeny kafel row 5 : 7 november | european community championships antwerp, belgium atp world series $1, | pete sampras 7-6(5) 6-4 | magnus larsson | jared palmer olivier delaitre | byron black patrick rafter jonas bjorkman sebas row 6 : 7 november | european community championships antwerp, belgium atp world series $1, | jan apell jonas bjorkman 4-6 6-1 | hendrik jan davids sebastien lareau | jared palmer olivier delaitre | byron black patrick rafter jonas bjorkman sebas row 7 : 14 november | ibm atp tour world championships singles frankfurt, germany (sing | pete sampras 4-6 6-3 7-5 6-4 | boris becker | andre agassi sergi bruguera | michael chang alberto berasategui stefan edberg goran i row 8 : 21 november | ibm atp tour world championships doubles jakarta, indonesia atp championship | jan apell jonas bjorkman 6-4 4-6 | todd woodbridge mark woodforde | david adams / andrei olhovskiy jacco eltingh | david adams / andrei olhovskiy jacco eltingh row 9 : 28 november | davis cup by nec: final moscow - carpet | sweden 4-1 | russia | nan | nan | table_csv/204_351.csv | 0 | {
"column_index": [
2
],
"row_index": [
8
]
} | [
"what is the least number of champions?"
] | 2 | sweden 4-1 | [
"Week of",
"Tournament",
"Champions",
"Runners-up",
"Semifinalists",
"Quarterfinalists"
] | what is the least number of champions? | [
[
"7 November",
"Topper South American Open Buenos Aires, Argentina ATP World",
"Alex Corretja 6-3 5-7 7-6(5)",
"Javier Frana",
"Francisco Clavet Karel Novacek",
"Alberto Berasategui Luiz Mattar Slava Do"
],
[
"7 November",
"Topper South American Open Buenos Aires, Argentina ATP World",
"Sergio Casal Emilio Sanchez 6-3 6-2",
"Tomas Carbonell Francisco Roig",
"Francisco Clavet Karel Novacek",
"Alberto Berasategui Luiz Mattar Slava Do"
],
[
"7 November",
"Kremlin Cup Moscow, Russia ATP World Series $1,100",
"Alexander Volkov 6-2 6-4",
"Chuck Adams",
"Jacco Eltingh Marc Rosset",
"Petr Korda Daniel Vacek Yevgeny Kafel"
],
[
"7 November",
"Kremlin Cup Moscow, Russia ATP World Series $1,100",
"Jacco Eltingh Paul Haarhuis W/O",
"David Adams Andrei Olhovskiy",
"Jacco Eltingh Marc Rosset",
"Petr Korda Daniel Vacek Yevgeny Kafel"
],
[
"7 November",
"European Community Championships Antwerp, Belgium ATP World Series $1,",
"Pete Sampras 7-6(5) 6-4",
"Magnus Larsson",
"Jared Palmer Olivier Delaitre",
"Byron Black Patrick Rafter Jonas Bjorkman Sebas"
],
[
"7 November",
"European Community Championships Antwerp, Belgium ATP World Series $1,",
"Jan Apell Jonas Bjorkman 4-6 6-1",
"Hendrik Jan Davids Sebastien Lareau",
"Jared Palmer Olivier Delaitre",
"Byron Black Patrick Rafter Jonas Bjorkman Sebas"
],
[
"14 November",
"IBM ATP Tour World Championships Singles Frankfurt, Germany (sing",
"Pete Sampras 4-6 6-3 7-5 6-4",
"Boris Becker",
"Andre Agassi Sergi Bruguera",
"Michael Chang Alberto Berasategui Stefan Edberg Goran I"
],
[
"21 November",
"IBM ATP Tour World Championships Doubles Jakarta, Indonesia ATP Championship",
"Jan Apell Jonas Bjorkman 6-4 4-6",
"Todd Woodbridge Mark Woodforde",
"David Adams / Andrei Olhovskiy Jacco Eltingh",
"David Adams / Andrei Olhovskiy Jacco Eltingh"
],
[
"28 November",
"Davis Cup by NEC: Final Moscow - Carpet",
"Sweden 4-1",
"Russia",
"nan",
"nan"
]
] | [
"Sweden 4-1"
] | what is the least number of champions? || |
nt-778 | col : week of | tournament | champions | runners-up | semifinalists | quarterfinalists row 1 : 7 november | topper south american open buenos aires, argentina atp world | alex corretja 6-3 5-7 7-6(5) | javier frana | francisco clavet karel novacek | alberto berasategui luiz mattar slava do row 2 : 7 november | topper south american open buenos aires, argentina atp world | sergio casal emilio sanchez 6-3 6-2 | tomas carbonell francisco roig | francisco clavet karel novacek | alberto berasategui luiz mattar slava do row 3 : 7 november | kremlin cup moscow, russia atp world series $1,100 | alexander volkov 6-2 6-4 | chuck adams | jacco eltingh marc rosset | petr korda daniel vacek yevgeny kafel row 4 : 7 november | kremlin cup moscow, russia atp world series $1,100 | jacco eltingh paul haarhuis w/o | david adams andrei olhovskiy | jacco eltingh marc rosset | petr korda daniel vacek yevgeny kafel row 5 : 7 november | european community championships antwerp, belgium atp world series $1, | pete sampras 7-6(5) 6-4 | magnus larsson | jared palmer olivier delaitre | byron black patrick rafter jonas bjorkman sebas row 6 : 7 november | european community championships antwerp, belgium atp world series $1, | jan apell jonas bjorkman 4-6 6-1 | hendrik jan davids sebastien lareau | jared palmer olivier delaitre | byron black patrick rafter jonas bjorkman sebas row 7 : 14 november | ibm atp tour world championships singles frankfurt, germany (sing | pete sampras 4-6 6-3 7-5 6-4 | boris becker | andre agassi sergi bruguera | michael chang alberto berasategui stefan edberg goran i row 8 : 21 november | ibm atp tour world championships doubles jakarta, indonesia atp championship | jan apell jonas bjorkman 6-4 4-6 | todd woodbridge mark woodforde | david adams / andrei olhovskiy jacco eltingh | david adams / andrei olhovskiy jacco eltingh row 9 : 28 november | davis cup by nec: final moscow - carpet | sweden 4-1 | russia | nan | nan | table_csv/204_351.csv | 1 | {
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} | [
"what is the least number of champions?",
"which country did this belong too?"
] | 2 | russia | [
"Week of",
"Tournament",
"Champions",
"Runners-up",
"Semifinalists",
"Quarterfinalists"
] | which country did this belong too? | [
[
"7 November",
"Topper South American Open Buenos Aires, Argentina ATP World",
"Alex Corretja 6-3 5-7 7-6(5)",
"Javier Frana",
"Francisco Clavet Karel Novacek",
"Alberto Berasategui Luiz Mattar Slava Do"
],
[
"7 November",
"Topper South American Open Buenos Aires, Argentina ATP World",
"Sergio Casal Emilio Sanchez 6-3 6-2",
"Tomas Carbonell Francisco Roig",
"Francisco Clavet Karel Novacek",
"Alberto Berasategui Luiz Mattar Slava Do"
],
[
"7 November",
"Kremlin Cup Moscow, Russia ATP World Series $1,100",
"Alexander Volkov 6-2 6-4",
"Chuck Adams",
"Jacco Eltingh Marc Rosset",
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[
"7 November",
"Kremlin Cup Moscow, Russia ATP World Series $1,100",
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"David Adams Andrei Olhovskiy",
"Jacco Eltingh Marc Rosset",
"Petr Korda Daniel Vacek Yevgeny Kafel"
],
[
"7 November",
"European Community Championships Antwerp, Belgium ATP World Series $1,",
"Pete Sampras 7-6(5) 6-4",
"Magnus Larsson",
"Jared Palmer Olivier Delaitre",
"Byron Black Patrick Rafter Jonas Bjorkman Sebas"
],
[
"7 November",
"European Community Championships Antwerp, Belgium ATP World Series $1,",
"Jan Apell Jonas Bjorkman 4-6 6-1",
"Hendrik Jan Davids Sebastien Lareau",
"Jared Palmer Olivier Delaitre",
"Byron Black Patrick Rafter Jonas Bjorkman Sebas"
],
[
"14 November",
"IBM ATP Tour World Championships Singles Frankfurt, Germany (sing",
"Pete Sampras 4-6 6-3 7-5 6-4",
"Boris Becker",
"Andre Agassi Sergi Bruguera",
"Michael Chang Alberto Berasategui Stefan Edberg Goran I"
],
[
"21 November",
"IBM ATP Tour World Championships Doubles Jakarta, Indonesia ATP Championship",
"Jan Apell Jonas Bjorkman 6-4 4-6",
"Todd Woodbridge Mark Woodforde",
"David Adams / Andrei Olhovskiy Jacco Eltingh",
"David Adams / Andrei Olhovskiy Jacco Eltingh"
],
[
"28 November",
"Davis Cup by NEC: Final Moscow - Carpet",
"Sweden 4-1",
"Russia",
"nan",
"nan"
]
] | [
"Russia"
] | which country did this belong too? || what is the least number of champions? |
nt-2454 | col : category | speed (km/h) | speed (mph) | vehicle | pilot | date row 1 : rocket-powered aircraft | 7,258 | 4,510 | north american x-15 | william j. knight | 3 oct 1967 row 2 : manned air-breathing craft | 3,530 | 2,194 | lockheed sr-71 blackbird | eldon w. joersz | 28 jul 1976 row 3 : propeller-driven aircraft | 870 | 541 | tupolev tu-114 | ivan soukhomline | 1960 row 4 : piston-engined propeller-driven aircraft | 850.1 | 528.33 | grumman f8f bearcat rare bear (n777l) | lyle shelton | 21 aug 1989 row 5 : helicopter | 401.0 | 249.1 | westland lynx 800 g-lynx | john egginton | 11 aug 1986 row 6 : glider (sailplane) | 306.8 | 190.6 | schempp-hirth nimbus-4dm | klaus ohlmann and matias garcia mazzaro | 22 dec 2006 row 7 : human-powered aircraft | 32 | 19.8 | mit monarch b | frank scarabino | 1 may 1984 | table_csv/203_688.csv | 0 | {
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"what categories have made vehicle speed records?"
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"Date"
] | what categories have made vehicle speed records? | [
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"19.8",
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]
] | [
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"Manned air-breathing craft",
"Propeller-driven aircraft",
"Piston-engined propeller-driven aircraft",
"Helicopter",
"Glider (sailplane)",
"Human-powered aircraft"
] | what categories have made vehicle speed records? || |
nt-2454 | col : category | speed (km/h) | speed (mph) | vehicle | pilot | date row 1 : rocket-powered aircraft | 7,258 | 4,510 | north american x-15 | william j. knight | 3 oct 1967 row 2 : manned air-breathing craft | 3,530 | 2,194 | lockheed sr-71 blackbird | eldon w. joersz | 28 jul 1976 row 3 : propeller-driven aircraft | 870 | 541 | tupolev tu-114 | ivan soukhomline | 1960 row 4 : piston-engined propeller-driven aircraft | 850.1 | 528.33 | grumman f8f bearcat rare bear (n777l) | lyle shelton | 21 aug 1989 row 5 : helicopter | 401.0 | 249.1 | westland lynx 800 g-lynx | john egginton | 11 aug 1986 row 6 : glider (sailplane) | 306.8 | 190.6 | schempp-hirth nimbus-4dm | klaus ohlmann and matias garcia mazzaro | 22 dec 2006 row 7 : human-powered aircraft | 32 | 19.8 | mit monarch b | frank scarabino | 1 may 1984 | table_csv/203_688.csv | 1 | {
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"what categories have made vehicle speed records?",
"what pilots hold vehicle speed records?"
] | 0 | william j. knight, eldon w. joersz, ivan soukhomline, lyle shelton, john egginton, klaus ohlmann and matias garcia mazzaro, frank scarabino | [
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"Speed (km/h)",
"Speed (mph)",
"Vehicle",
"Pilot",
"Date"
] | what pilots hold vehicle speed records? | [
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[
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]
] | [
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"Eldon W. Joersz",
"Ivan Soukhomline",
"Lyle Shelton",
"John Egginton",
"Klaus Ohlmann and Matias Garcia Mazzaro",
"Frank Scarabino"
] | what pilots hold vehicle speed records? || what categories have made vehicle speed records? |
nt-2454 | col : category | speed (km/h) | speed (mph) | vehicle | pilot | date row 1 : rocket-powered aircraft | 7,258 | 4,510 | north american x-15 | william j. knight | 3 oct 1967 row 2 : manned air-breathing craft | 3,530 | 2,194 | lockheed sr-71 blackbird | eldon w. joersz | 28 jul 1976 row 3 : propeller-driven aircraft | 870 | 541 | tupolev tu-114 | ivan soukhomline | 1960 row 4 : piston-engined propeller-driven aircraft | 850.1 | 528.33 | grumman f8f bearcat rare bear (n777l) | lyle shelton | 21 aug 1989 row 5 : helicopter | 401.0 | 249.1 | westland lynx 800 g-lynx | john egginton | 11 aug 1986 row 6 : glider (sailplane) | 306.8 | 190.6 | schempp-hirth nimbus-4dm | klaus ohlmann and matias garcia mazzaro | 22 dec 2006 row 7 : human-powered aircraft | 32 | 19.8 | mit monarch b | frank scarabino | 1 may 1984 | table_csv/203_688.csv | 2 | {
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"what categories have made vehicle speed records?",
"what pilots hold vehicle speed records?",
"what vehicles have speed records?"
] | 0 | north american x-15, lockheed sr-71 blackbird, tupolev tu-114, grumman f8f bearcat rare bear (n777l), westland lynx 800 g-lynx, schempp-hirth nimbus-4dm, mit monarch b | [
"Category",
"Speed (km/h)",
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"Vehicle",
"Pilot",
"Date"
] | what vehicles have speed records? | [
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"Human-powered aircraft",
"32",
"19.8",
"MIT Monarch B",
"Frank Scarabino",
"1 May 1984"
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"Grumman F8F Bearcat Rare Bear (N777L)",
"Westland Lynx 800 G-LYNX",
"Schempp-Hirth Nimbus-4DM",
"MIT Monarch B"
] | what vehicles have speed records? || what pilots hold vehicle speed records? | what categories have made vehicle speed records? |
nt-2454 | col : category | speed (km/h) | speed (mph) | vehicle | pilot | date row 1 : rocket-powered aircraft | 7,258 | 4,510 | north american x-15 | william j. knight | 3 oct 1967 row 2 : manned air-breathing craft | 3,530 | 2,194 | lockheed sr-71 blackbird | eldon w. joersz | 28 jul 1976 row 3 : propeller-driven aircraft | 870 | 541 | tupolev tu-114 | ivan soukhomline | 1960 row 4 : piston-engined propeller-driven aircraft | 850.1 | 528.33 | grumman f8f bearcat rare bear (n777l) | lyle shelton | 21 aug 1989 row 5 : helicopter | 401.0 | 249.1 | westland lynx 800 g-lynx | john egginton | 11 aug 1986 row 6 : glider (sailplane) | 306.8 | 190.6 | schempp-hirth nimbus-4dm | klaus ohlmann and matias garcia mazzaro | 22 dec 2006 row 7 : human-powered aircraft | 32 | 19.8 | mit monarch b | frank scarabino | 1 may 1984 | table_csv/203_688.csv | 3 | {
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"what categories have made vehicle speed records?",
"what pilots hold vehicle speed records?",
"what vehicles have speed records?",
"what category is the westland lynx 800 g-lynx vehicle?"
] | 0 | helicopter | [
"Category",
"Speed (km/h)",
"Speed (mph)",
"Vehicle",
"Pilot",
"Date"
] | what category is the westland lynx 800 g-lynx vehicle? | [
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"William J. Knight",
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"2,194",
"Lockheed SR-71 Blackbird",
"Eldon W. Joersz",
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"541",
"Tupolev Tu-114",
"Ivan Soukhomline",
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"528.33",
"Grumman F8F Bearcat Rare Bear (N777L)",
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"21 Aug 1989"
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"249.1",
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"Schempp-Hirth Nimbus-4DM",
"Klaus Ohlmann and Matias Garcia Mazzaro",
"22 Dec 2006"
],
[
"Human-powered aircraft",
"32",
"19.8",
"MIT Monarch B",
"Frank Scarabino",
"1 May 1984"
]
] | [
"Helicopter"
] | what category is the westland lynx 800 g-lynx vehicle? || what vehicles have speed records? | what pilots hold vehicle speed records? | what categories have made vehicle speed records? |
nt-2454 | col : category | speed (km/h) | speed (mph) | vehicle | pilot | date row 1 : rocket-powered aircraft | 7,258 | 4,510 | north american x-15 | william j. knight | 3 oct 1967 row 2 : manned air-breathing craft | 3,530 | 2,194 | lockheed sr-71 blackbird | eldon w. joersz | 28 jul 1976 row 3 : propeller-driven aircraft | 870 | 541 | tupolev tu-114 | ivan soukhomline | 1960 row 4 : piston-engined propeller-driven aircraft | 850.1 | 528.33 | grumman f8f bearcat rare bear (n777l) | lyle shelton | 21 aug 1989 row 5 : helicopter | 401.0 | 249.1 | westland lynx 800 g-lynx | john egginton | 11 aug 1986 row 6 : glider (sailplane) | 306.8 | 190.6 | schempp-hirth nimbus-4dm | klaus ohlmann and matias garcia mazzaro | 22 dec 2006 row 7 : human-powered aircraft | 32 | 19.8 | mit monarch b | frank scarabino | 1 may 1984 | table_csv/203_688.csv | 0 | {
"column_index": [
1
],
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4
]
} | [
"what is the third lowest speed driven by an air-vehicle?"
] | 1 | 401.0 | [
"Category",
"Speed (km/h)",
"Speed (mph)",
"Vehicle",
"Pilot",
"Date"
] | what is the third lowest speed driven by an air-vehicle? | [
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"North American X-15",
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"2,194",
"Lockheed SR-71 Blackbird",
"Eldon W. Joersz",
"28 Jul 1976"
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"541",
"Tupolev Tu-114",
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"528.33",
"Grumman F8F Bearcat Rare Bear (N777L)",
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"249.1",
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"Schempp-Hirth Nimbus-4DM",
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"22 Dec 2006"
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[
"Human-powered aircraft",
"32",
"19.8",
"MIT Monarch B",
"Frank Scarabino",
"1 May 1984"
]
] | [
"401.0"
] | what is the third lowest speed driven by an air-vehicle? || |
nt-2454 | col : category | speed (km/h) | speed (mph) | vehicle | pilot | date row 1 : rocket-powered aircraft | 7,258 | 4,510 | north american x-15 | william j. knight | 3 oct 1967 row 2 : manned air-breathing craft | 3,530 | 2,194 | lockheed sr-71 blackbird | eldon w. joersz | 28 jul 1976 row 3 : propeller-driven aircraft | 870 | 541 | tupolev tu-114 | ivan soukhomline | 1960 row 4 : piston-engined propeller-driven aircraft | 850.1 | 528.33 | grumman f8f bearcat rare bear (n777l) | lyle shelton | 21 aug 1989 row 5 : helicopter | 401.0 | 249.1 | westland lynx 800 g-lynx | john egginton | 11 aug 1986 row 6 : glider (sailplane) | 306.8 | 190.6 | schempp-hirth nimbus-4dm | klaus ohlmann and matias garcia mazzaro | 22 dec 2006 row 7 : human-powered aircraft | 32 | 19.8 | mit monarch b | frank scarabino | 1 may 1984 | table_csv/203_688.csv | 1 | {
"column_index": [
0
],
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4
]
} | [
"what is the third lowest speed driven by an air-vehicle?",
"what category of vehicles moved at this speed?"
] | 1 | helicopter | [
"Category",
"Speed (km/h)",
"Speed (mph)",
"Vehicle",
"Pilot",
"Date"
] | what category of vehicles moved at this speed? | [
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"7,258",
"4,510",
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"Tupolev Tu-114",
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"1960"
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"249.1",
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"Schempp-Hirth Nimbus-4DM",
"Klaus Ohlmann and Matias Garcia Mazzaro",
"22 Dec 2006"
],
[
"Human-powered aircraft",
"32",
"19.8",
"MIT Monarch B",
"Frank Scarabino",
"1 May 1984"
]
] | [
"Helicopter"
] | what category of vehicles moved at this speed? || what is the third lowest speed driven by an air-vehicle? |
nt-2454 | col : category | speed (km/h) | speed (mph) | vehicle | pilot | date row 1 : rocket-powered aircraft | 7,258 | 4,510 | north american x-15 | william j. knight | 3 oct 1967 row 2 : manned air-breathing craft | 3,530 | 2,194 | lockheed sr-71 blackbird | eldon w. joersz | 28 jul 1976 row 3 : propeller-driven aircraft | 870 | 541 | tupolev tu-114 | ivan soukhomline | 1960 row 4 : piston-engined propeller-driven aircraft | 850.1 | 528.33 | grumman f8f bearcat rare bear (n777l) | lyle shelton | 21 aug 1989 row 5 : helicopter | 401.0 | 249.1 | westland lynx 800 g-lynx | john egginton | 11 aug 1986 row 6 : glider (sailplane) | 306.8 | 190.6 | schempp-hirth nimbus-4dm | klaus ohlmann and matias garcia mazzaro | 22 dec 2006 row 7 : human-powered aircraft | 32 | 19.8 | mit monarch b | frank scarabino | 1 may 1984 | table_csv/203_688.csv | 0 | {
"column_index": [
3
],
"row_index": [
4
]
} | [
"which vehicle's speed is 401.0?"
] | 2 | westland lynx 800 g-lynx | [
"Category",
"Speed (km/h)",
"Speed (mph)",
"Vehicle",
"Pilot",
"Date"
] | which vehicle's speed is 401.0? | [
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"Rocket-powered aircraft",
"7,258",
"4,510",
"North American X-15",
"William J. Knight",
"3 Oct 1967"
],
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"3,530",
"2,194",
"Lockheed SR-71 Blackbird",
"Eldon W. Joersz",
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"870",
"541",
"Tupolev Tu-114",
"Ivan Soukhomline",
"1960"
],
[
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"850.1",
"528.33",
"Grumman F8F Bearcat Rare Bear (N777L)",
"Lyle Shelton",
"21 Aug 1989"
],
[
"Helicopter",
"401.0",
"249.1",
"Westland Lynx 800 G-LYNX",
"John Egginton",
"11 Aug 1986"
],
[
"Glider (sailplane)",
"306.8",
"190.6",
"Schempp-Hirth Nimbus-4DM",
"Klaus Ohlmann and Matias Garcia Mazzaro",
"22 Dec 2006"
],
[
"Human-powered aircraft",
"32",
"19.8",
"MIT Monarch B",
"Frank Scarabino",
"1 May 1984"
]
] | [
"Westland Lynx 800 G-LYNX"
] | which vehicle's speed is 401.0? || |
nt-2454 | col : category | speed (km/h) | speed (mph) | vehicle | pilot | date row 1 : rocket-powered aircraft | 7,258 | 4,510 | north american x-15 | william j. knight | 3 oct 1967 row 2 : manned air-breathing craft | 3,530 | 2,194 | lockheed sr-71 blackbird | eldon w. joersz | 28 jul 1976 row 3 : propeller-driven aircraft | 870 | 541 | tupolev tu-114 | ivan soukhomline | 1960 row 4 : piston-engined propeller-driven aircraft | 850.1 | 528.33 | grumman f8f bearcat rare bear (n777l) | lyle shelton | 21 aug 1989 row 5 : helicopter | 401.0 | 249.1 | westland lynx 800 g-lynx | john egginton | 11 aug 1986 row 6 : glider (sailplane) | 306.8 | 190.6 | schempp-hirth nimbus-4dm | klaus ohlmann and matias garcia mazzaro | 22 dec 2006 row 7 : human-powered aircraft | 32 | 19.8 | mit monarch b | frank scarabino | 1 may 1984 | table_csv/203_688.csv | 1 | {
"column_index": [
0
],
"row_index": [
4
]
} | [
"which vehicle's speed is 401.0?",
"what category does this vehicle fall under?"
] | 2 | helicopter | [
"Category",
"Speed (km/h)",
"Speed (mph)",
"Vehicle",
"Pilot",
"Date"
] | what category does this vehicle fall under? | [
[
"Rocket-powered aircraft",
"7,258",
"4,510",
"North American X-15",
"William J. Knight",
"3 Oct 1967"
],
[
"Manned air-breathing craft",
"3,530",
"2,194",
"Lockheed SR-71 Blackbird",
"Eldon W. Joersz",
"28 Jul 1976"
],
[
"Propeller-driven aircraft",
"870",
"541",
"Tupolev Tu-114",
"Ivan Soukhomline",
"1960"
],
[
"Piston-engined propeller-driven aircraft",
"850.1",
"528.33",
"Grumman F8F Bearcat Rare Bear (N777L)",
"Lyle Shelton",
"21 Aug 1989"
],
[
"Helicopter",
"401.0",
"249.1",
"Westland Lynx 800 G-LYNX",
"John Egginton",
"11 Aug 1986"
],
[
"Glider (sailplane)",
"306.8",
"190.6",
"Schempp-Hirth Nimbus-4DM",
"Klaus Ohlmann and Matias Garcia Mazzaro",
"22 Dec 2006"
],
[
"Human-powered aircraft",
"32",
"19.8",
"MIT Monarch B",
"Frank Scarabino",
"1 May 1984"
]
] | [
"Helicopter"
] | what category does this vehicle fall under? || which vehicle's speed is 401.0? |
nt-3108 | col : week | date | kickoff | opponent | results final score | results team record | game site | attendance row 1 : 1 | saturday, april 13 | 7:00 p.m. | at rhein fire | w 27-21 | 1-0 | rheinstadion | 32,092 row 2 : 2 | saturday, april 20 | 7:00 p.m. | london monarchs | w 37-3 | 2-0 | waldstadion | 34,186 row 3 : 3 | sunday, april 28 | 6:00 p.m. | at barcelona dragons | w 33-29 | 3-0 | estadi olimpic de montjuic | 17,503 row 4 : 4 | sunday, may 5 | 7:00 p.m. | amsterdam admirals | w 40-28 | 4-0 | waldstadion | 28,627 row 5 : 5 | saturday, may 11 | 7:00 p.m. | scottish claymores | l 0-20 | 4-1 | waldstadion | 32,126 row 6 : 6 | sunday, may 19 | 3:00 p.m. | at london monarchs | l 7-27 | 4-2 | white hart lane | 10,764 row 7 : 7 | sunday, may 26 | 3:00 p.m. | at scottish claymores | l 17-20 | 4-3 | murrayfield stadium | 13,116 row 8 : 8 | saturday, june 1 | 7:00 p.m. | rhein fire | l 8-31 | 4-4 | waldstadion | 38,798 row 9 : 9 | saturday, june 8 | 7:00 p.m. | barcelona dragons | w 24-21 | 5-4 | waldstadion | 33,115 row 10 : 10 | saturday, june 15 | 6:30 p.m. | at amsterdam admirals | w 28-20 | 6-4 | olympisch stadion | 14,062 row 11 : 11 | sunday, june 23 | 6:00 p.m. | at scottish claymores | l 27-32 | 6-5 | murrayfield stadium | 38,982 | table_csv/204_123.csv | 0 | {
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3,
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3,
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3,
3
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2,
3,
4,
5,
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8,
9,
10
]
} | [
"who were the opponents?"
] | 0 | at rhein fire, london monarchs, at barcelona dragons, amsterdam admirals, scottish claymores, at london monarchs, at scottish claymores, rhein fire, barcelona dragons, at amsterdam admirals, at scottish claymores | [
"Week",
"Date",
"Kickoff",
"Opponent",
"Results Final score",
"Results Team record",
"Game site",
"Attendance"
] | who were the opponents? | [
[
"1",
"Saturday, April 13",
"7:00 p.m.",
"at Rhein Fire",
"W 27-21",
"1-0",
"Rheinstadion",
"32,092"
],
[
"2",
"Saturday, April 20",
"7:00 p.m.",
"London Monarchs",
"W 37-3",
"2-0",
"Waldstadion",
"34,186"
],
[
"3",
"Sunday, April 28",
"6:00 p.m.",
"at Barcelona Dragons",
"W 33-29",
"3-0",
"Estadi Olimpic de Montjuic",
"17,503"
],
[
"4",
"Sunday, May 5",
"7:00 p.m.",
"Amsterdam Admirals",
"W 40-28",
"4-0",
"Waldstadion",
"28,627"
],
[
"5",
"Saturday, May 11",
"7:00 p.m.",
"Scottish Claymores",
"L 0-20",
"4-1",
"Waldstadion",
"32,126"
],
[
"6",
"Sunday, May 19",
"3:00 p.m.",
"at London Monarchs",
"L 7-27",
"4-2",
"White Hart Lane",
"10,764"
],
[
"7",
"Sunday, May 26",
"3:00 p.m.",
"at Scottish Claymores",
"L 17-20",
"4-3",
"Murrayfield Stadium",
"13,116"
],
[
"8",
"Saturday, June 1",
"7:00 p.m.",
"Rhein Fire",
"L 8-31",
"4-4",
"Waldstadion",
"38,798"
],
[
"9",
"Saturday, June 8",
"7:00 p.m.",
"Barcelona Dragons",
"W 24-21",
"5-4",
"Waldstadion",
"33,115"
],
[
"10",
"Saturday, June 15",
"6:30 p.m.",
"at Amsterdam Admirals",
"W 28-20",
"6-4",
"Olympisch Stadion",
"14,062"
],
[
"11",
"Sunday, June 23",
"6:00 p.m.",
"at Scottish Claymores",
"L 27-32",
"6-5",
"Murrayfield Stadium",
"38,982"
]
] | [
"at Rhein Fire",
"London Monarchs",
"at Barcelona Dragons",
"Amsterdam Admirals",
"Scottish Claymores",
"at London Monarchs",
"at Scottish Claymores",
"Rhein Fire",
"Barcelona Dragons",
"at Amsterdam Admirals",
"at Scottish Claymores"
] | who were the opponents? || |
nt-3108 | col : week | date | kickoff | opponent | results final score | results team record | game site | attendance row 1 : 1 | saturday, april 13 | 7:00 p.m. | at rhein fire | w 27-21 | 1-0 | rheinstadion | 32,092 row 2 : 2 | saturday, april 20 | 7:00 p.m. | london monarchs | w 37-3 | 2-0 | waldstadion | 34,186 row 3 : 3 | sunday, april 28 | 6:00 p.m. | at barcelona dragons | w 33-29 | 3-0 | estadi olimpic de montjuic | 17,503 row 4 : 4 | sunday, may 5 | 7:00 p.m. | amsterdam admirals | w 40-28 | 4-0 | waldstadion | 28,627 row 5 : 5 | saturday, may 11 | 7:00 p.m. | scottish claymores | l 0-20 | 4-1 | waldstadion | 32,126 row 6 : 6 | sunday, may 19 | 3:00 p.m. | at london monarchs | l 7-27 | 4-2 | white hart lane | 10,764 row 7 : 7 | sunday, may 26 | 3:00 p.m. | at scottish claymores | l 17-20 | 4-3 | murrayfield stadium | 13,116 row 8 : 8 | saturday, june 1 | 7:00 p.m. | rhein fire | l 8-31 | 4-4 | waldstadion | 38,798 row 9 : 9 | saturday, june 8 | 7:00 p.m. | barcelona dragons | w 24-21 | 5-4 | waldstadion | 33,115 row 10 : 10 | saturday, june 15 | 6:30 p.m. | at amsterdam admirals | w 28-20 | 6-4 | olympisch stadion | 14,062 row 11 : 11 | sunday, june 23 | 6:00 p.m. | at scottish claymores | l 27-32 | 6-5 | murrayfield stadium | 38,982 | table_csv/204_123.csv | 1 | {
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4,
4,
4,
4,
4,
4,
4,
4,
4,
4
],
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2,
3,
4,
5,
6,
7,
8,
9,
10
]
} | [
"who were the opponents?",
"what were the their scores?"
] | 0 | w 27-21, w 37-3, w 33-29, w 40-28, l 0-20, l 7-27, l 17-20, l 8-31, w 24-21, w 28-20, l 27-32 | [
"Week",
"Date",
"Kickoff",
"Opponent",
"Results Final score",
"Results Team record",
"Game site",
"Attendance"
] | what were the their scores? | [
[
"1",
"Saturday, April 13",
"7:00 p.m.",
"at Rhein Fire",
"W 27-21",
"1-0",
"Rheinstadion",
"32,092"
],
[
"2",
"Saturday, April 20",
"7:00 p.m.",
"London Monarchs",
"W 37-3",
"2-0",
"Waldstadion",
"34,186"
],
[
"3",
"Sunday, April 28",
"6:00 p.m.",
"at Barcelona Dragons",
"W 33-29",
"3-0",
"Estadi Olimpic de Montjuic",
"17,503"
],
[
"4",
"Sunday, May 5",
"7:00 p.m.",
"Amsterdam Admirals",
"W 40-28",
"4-0",
"Waldstadion",
"28,627"
],
[
"5",
"Saturday, May 11",
"7:00 p.m.",
"Scottish Claymores",
"L 0-20",
"4-1",
"Waldstadion",
"32,126"
],
[
"6",
"Sunday, May 19",
"3:00 p.m.",
"at London Monarchs",
"L 7-27",
"4-2",
"White Hart Lane",
"10,764"
],
[
"7",
"Sunday, May 26",
"3:00 p.m.",
"at Scottish Claymores",
"L 17-20",
"4-3",
"Murrayfield Stadium",
"13,116"
],
[
"8",
"Saturday, June 1",
"7:00 p.m.",
"Rhein Fire",
"L 8-31",
"4-4",
"Waldstadion",
"38,798"
],
[
"9",
"Saturday, June 8",
"7:00 p.m.",
"Barcelona Dragons",
"W 24-21",
"5-4",
"Waldstadion",
"33,115"
],
[
"10",
"Saturday, June 15",
"6:30 p.m.",
"at Amsterdam Admirals",
"W 28-20",
"6-4",
"Olympisch Stadion",
"14,062"
],
[
"11",
"Sunday, June 23",
"6:00 p.m.",
"at Scottish Claymores",
"L 27-32",
"6-5",
"Murrayfield Stadium",
"38,982"
]
] | [
"W 27-21",
"W 37-3",
"W 33-29",
"W 40-28",
"L 0-20",
"L 7-27",
"L 17-20",
"L 8-31",
"W 24-21",
"W 28-20",
"L 27-32"
] | what were the their scores? || who were the opponents? |
nt-3108 | col : week | date | kickoff | opponent | results final score | results team record | game site | attendance row 1 : 1 | saturday, april 13 | 7:00 p.m. | at rhein fire | w 27-21 | 1-0 | rheinstadion | 32,092 row 2 : 2 | saturday, april 20 | 7:00 p.m. | london monarchs | w 37-3 | 2-0 | waldstadion | 34,186 row 3 : 3 | sunday, april 28 | 6:00 p.m. | at barcelona dragons | w 33-29 | 3-0 | estadi olimpic de montjuic | 17,503 row 4 : 4 | sunday, may 5 | 7:00 p.m. | amsterdam admirals | w 40-28 | 4-0 | waldstadion | 28,627 row 5 : 5 | saturday, may 11 | 7:00 p.m. | scottish claymores | l 0-20 | 4-1 | waldstadion | 32,126 row 6 : 6 | sunday, may 19 | 3:00 p.m. | at london monarchs | l 7-27 | 4-2 | white hart lane | 10,764 row 7 : 7 | sunday, may 26 | 3:00 p.m. | at scottish claymores | l 17-20 | 4-3 | murrayfield stadium | 13,116 row 8 : 8 | saturday, june 1 | 7:00 p.m. | rhein fire | l 8-31 | 4-4 | waldstadion | 38,798 row 9 : 9 | saturday, june 8 | 7:00 p.m. | barcelona dragons | w 24-21 | 5-4 | waldstadion | 33,115 row 10 : 10 | saturday, june 15 | 6:30 p.m. | at amsterdam admirals | w 28-20 | 6-4 | olympisch stadion | 14,062 row 11 : 11 | sunday, june 23 | 6:00 p.m. | at scottish claymores | l 27-32 | 6-5 | murrayfield stadium | 38,982 | table_csv/204_123.csv | 2 | {
"column_index": [
4
],
"row_index": [
1
]
} | [
"who were the opponents?",
"what were the their scores?",
"which was the lowest of these scores?"
] | 0 | w 37-3 | [
"Week",
"Date",
"Kickoff",
"Opponent",
"Results Final score",
"Results Team record",
"Game site",
"Attendance"
] | which was the lowest of these scores? | [
[
"1",
"Saturday, April 13",
"7:00 p.m.",
"at Rhein Fire",
"W 27-21",
"1-0",
"Rheinstadion",
"32,092"
],
[
"2",
"Saturday, April 20",
"7:00 p.m.",
"London Monarchs",
"W 37-3",
"2-0",
"Waldstadion",
"34,186"
],
[
"3",
"Sunday, April 28",
"6:00 p.m.",
"at Barcelona Dragons",
"W 33-29",
"3-0",
"Estadi Olimpic de Montjuic",
"17,503"
],
[
"4",
"Sunday, May 5",
"7:00 p.m.",
"Amsterdam Admirals",
"W 40-28",
"4-0",
"Waldstadion",
"28,627"
],
[
"5",
"Saturday, May 11",
"7:00 p.m.",
"Scottish Claymores",
"L 0-20",
"4-1",
"Waldstadion",
"32,126"
],
[
"6",
"Sunday, May 19",
"3:00 p.m.",
"at London Monarchs",
"L 7-27",
"4-2",
"White Hart Lane",
"10,764"
],
[
"7",
"Sunday, May 26",
"3:00 p.m.",
"at Scottish Claymores",
"L 17-20",
"4-3",
"Murrayfield Stadium",
"13,116"
],
[
"8",
"Saturday, June 1",
"7:00 p.m.",
"Rhein Fire",
"L 8-31",
"4-4",
"Waldstadion",
"38,798"
],
[
"9",
"Saturday, June 8",
"7:00 p.m.",
"Barcelona Dragons",
"W 24-21",
"5-4",
"Waldstadion",
"33,115"
],
[
"10",
"Saturday, June 15",
"6:30 p.m.",
"at Amsterdam Admirals",
"W 28-20",
"6-4",
"Olympisch Stadion",
"14,062"
],
[
"11",
"Sunday, June 23",
"6:00 p.m.",
"at Scottish Claymores",
"L 27-32",
"6-5",
"Murrayfield Stadium",
"38,982"
]
] | [
"W 37-3"
] | which was the lowest of these scores? || what were the their scores? | who were the opponents? |
nt-3108 | col : week | date | kickoff | opponent | results final score | results team record | game site | attendance row 1 : 1 | saturday, april 13 | 7:00 p.m. | at rhein fire | w 27-21 | 1-0 | rheinstadion | 32,092 row 2 : 2 | saturday, april 20 | 7:00 p.m. | london monarchs | w 37-3 | 2-0 | waldstadion | 34,186 row 3 : 3 | sunday, april 28 | 6:00 p.m. | at barcelona dragons | w 33-29 | 3-0 | estadi olimpic de montjuic | 17,503 row 4 : 4 | sunday, may 5 | 7:00 p.m. | amsterdam admirals | w 40-28 | 4-0 | waldstadion | 28,627 row 5 : 5 | saturday, may 11 | 7:00 p.m. | scottish claymores | l 0-20 | 4-1 | waldstadion | 32,126 row 6 : 6 | sunday, may 19 | 3:00 p.m. | at london monarchs | l 7-27 | 4-2 | white hart lane | 10,764 row 7 : 7 | sunday, may 26 | 3:00 p.m. | at scottish claymores | l 17-20 | 4-3 | murrayfield stadium | 13,116 row 8 : 8 | saturday, june 1 | 7:00 p.m. | rhein fire | l 8-31 | 4-4 | waldstadion | 38,798 row 9 : 9 | saturday, june 8 | 7:00 p.m. | barcelona dragons | w 24-21 | 5-4 | waldstadion | 33,115 row 10 : 10 | saturday, june 15 | 6:30 p.m. | at amsterdam admirals | w 28-20 | 6-4 | olympisch stadion | 14,062 row 11 : 11 | sunday, june 23 | 6:00 p.m. | at scottish claymores | l 27-32 | 6-5 | murrayfield stadium | 38,982 | table_csv/204_123.csv | 3 | {
"column_index": [
3
],
"row_index": [
1
]
} | [
"who were the opponents?",
"what were the their scores?",
"which was the lowest of these scores?",
"which opponent had this score?"
] | 0 | london monarchs | [
"Week",
"Date",
"Kickoff",
"Opponent",
"Results Final score",
"Results Team record",
"Game site",
"Attendance"
] | which opponent had this score? | [
[
"1",
"Saturday, April 13",
"7:00 p.m.",
"at Rhein Fire",
"W 27-21",
"1-0",
"Rheinstadion",
"32,092"
],
[
"2",
"Saturday, April 20",
"7:00 p.m.",
"London Monarchs",
"W 37-3",
"2-0",
"Waldstadion",
"34,186"
],
[
"3",
"Sunday, April 28",
"6:00 p.m.",
"at Barcelona Dragons",
"W 33-29",
"3-0",
"Estadi Olimpic de Montjuic",
"17,503"
],
[
"4",
"Sunday, May 5",
"7:00 p.m.",
"Amsterdam Admirals",
"W 40-28",
"4-0",
"Waldstadion",
"28,627"
],
[
"5",
"Saturday, May 11",
"7:00 p.m.",
"Scottish Claymores",
"L 0-20",
"4-1",
"Waldstadion",
"32,126"
],
[
"6",
"Sunday, May 19",
"3:00 p.m.",
"at London Monarchs",
"L 7-27",
"4-2",
"White Hart Lane",
"10,764"
],
[
"7",
"Sunday, May 26",
"3:00 p.m.",
"at Scottish Claymores",
"L 17-20",
"4-3",
"Murrayfield Stadium",
"13,116"
],
[
"8",
"Saturday, June 1",
"7:00 p.m.",
"Rhein Fire",
"L 8-31",
"4-4",
"Waldstadion",
"38,798"
],
[
"9",
"Saturday, June 8",
"7:00 p.m.",
"Barcelona Dragons",
"W 24-21",
"5-4",
"Waldstadion",
"33,115"
],
[
"10",
"Saturday, June 15",
"6:30 p.m.",
"at Amsterdam Admirals",
"W 28-20",
"6-4",
"Olympisch Stadion",
"14,062"
],
[
"11",
"Sunday, June 23",
"6:00 p.m.",
"at Scottish Claymores",
"L 27-32",
"6-5",
"Murrayfield Stadium",
"38,982"
]
] | [
"London Monarchs"
] | which opponent had this score? || which was the lowest of these scores? | what were the their scores? | who were the opponents? |
nt-3108 | col : week | date | kickoff | opponent | results final score | results team record | game site | attendance row 1 : 1 | saturday, april 13 | 7:00 p.m. | at rhein fire | w 27-21 | 1-0 | rheinstadion | 32,092 row 2 : 2 | saturday, april 20 | 7:00 p.m. | london monarchs | w 37-3 | 2-0 | waldstadion | 34,186 row 3 : 3 | sunday, april 28 | 6:00 p.m. | at barcelona dragons | w 33-29 | 3-0 | estadi olimpic de montjuic | 17,503 row 4 : 4 | sunday, may 5 | 7:00 p.m. | amsterdam admirals | w 40-28 | 4-0 | waldstadion | 28,627 row 5 : 5 | saturday, may 11 | 7:00 p.m. | scottish claymores | l 0-20 | 4-1 | waldstadion | 32,126 row 6 : 6 | sunday, may 19 | 3:00 p.m. | at london monarchs | l 7-27 | 4-2 | white hart lane | 10,764 row 7 : 7 | sunday, may 26 | 3:00 p.m. | at scottish claymores | l 17-20 | 4-3 | murrayfield stadium | 13,116 row 8 : 8 | saturday, june 1 | 7:00 p.m. | rhein fire | l 8-31 | 4-4 | waldstadion | 38,798 row 9 : 9 | saturday, june 8 | 7:00 p.m. | barcelona dragons | w 24-21 | 5-4 | waldstadion | 33,115 row 10 : 10 | saturday, june 15 | 6:30 p.m. | at amsterdam admirals | w 28-20 | 6-4 | olympisch stadion | 14,062 row 11 : 11 | sunday, june 23 | 6:00 p.m. | at scottish claymores | l 27-32 | 6-5 | murrayfield stadium | 38,982 | table_csv/204_123.csv | 0 | {
"column_index": [
4
],
"row_index": [
1
]
} | [
"what was the lowest amount of points an oppenent has scored in a game?"
] | 1 | w 37-3 | [
"Week",
"Date",
"Kickoff",
"Opponent",
"Results Final score",
"Results Team record",
"Game site",
"Attendance"
] | what was the lowest amount of points an oppenent has scored in a game? | [
[
"1",
"Saturday, April 13",
"7:00 p.m.",
"at Rhein Fire",
"W 27-21",
"1-0",
"Rheinstadion",
"32,092"
],
[
"2",
"Saturday, April 20",
"7:00 p.m.",
"London Monarchs",
"W 37-3",
"2-0",
"Waldstadion",
"34,186"
],
[
"3",
"Sunday, April 28",
"6:00 p.m.",
"at Barcelona Dragons",
"W 33-29",
"3-0",
"Estadi Olimpic de Montjuic",
"17,503"
],
[
"4",
"Sunday, May 5",
"7:00 p.m.",
"Amsterdam Admirals",
"W 40-28",
"4-0",
"Waldstadion",
"28,627"
],
[
"5",
"Saturday, May 11",
"7:00 p.m.",
"Scottish Claymores",
"L 0-20",
"4-1",
"Waldstadion",
"32,126"
],
[
"6",
"Sunday, May 19",
"3:00 p.m.",
"at London Monarchs",
"L 7-27",
"4-2",
"White Hart Lane",
"10,764"
],
[
"7",
"Sunday, May 26",
"3:00 p.m.",
"at Scottish Claymores",
"L 17-20",
"4-3",
"Murrayfield Stadium",
"13,116"
],
[
"8",
"Saturday, June 1",
"7:00 p.m.",
"Rhein Fire",
"L 8-31",
"4-4",
"Waldstadion",
"38,798"
],
[
"9",
"Saturday, June 8",
"7:00 p.m.",
"Barcelona Dragons",
"W 24-21",
"5-4",
"Waldstadion",
"33,115"
],
[
"10",
"Saturday, June 15",
"6:30 p.m.",
"at Amsterdam Admirals",
"W 28-20",
"6-4",
"Olympisch Stadion",
"14,062"
],
[
"11",
"Sunday, June 23",
"6:00 p.m.",
"at Scottish Claymores",
"L 27-32",
"6-5",
"Murrayfield Stadium",
"38,982"
]
] | [
"W 37-3"
] | what was the lowest amount of points an oppenent has scored in a game? || |
nt-3108 | col : week | date | kickoff | opponent | results final score | results team record | game site | attendance row 1 : 1 | saturday, april 13 | 7:00 p.m. | at rhein fire | w 27-21 | 1-0 | rheinstadion | 32,092 row 2 : 2 | saturday, april 20 | 7:00 p.m. | london monarchs | w 37-3 | 2-0 | waldstadion | 34,186 row 3 : 3 | sunday, april 28 | 6:00 p.m. | at barcelona dragons | w 33-29 | 3-0 | estadi olimpic de montjuic | 17,503 row 4 : 4 | sunday, may 5 | 7:00 p.m. | amsterdam admirals | w 40-28 | 4-0 | waldstadion | 28,627 row 5 : 5 | saturday, may 11 | 7:00 p.m. | scottish claymores | l 0-20 | 4-1 | waldstadion | 32,126 row 6 : 6 | sunday, may 19 | 3:00 p.m. | at london monarchs | l 7-27 | 4-2 | white hart lane | 10,764 row 7 : 7 | sunday, may 26 | 3:00 p.m. | at scottish claymores | l 17-20 | 4-3 | murrayfield stadium | 13,116 row 8 : 8 | saturday, june 1 | 7:00 p.m. | rhein fire | l 8-31 | 4-4 | waldstadion | 38,798 row 9 : 9 | saturday, june 8 | 7:00 p.m. | barcelona dragons | w 24-21 | 5-4 | waldstadion | 33,115 row 10 : 10 | saturday, june 15 | 6:30 p.m. | at amsterdam admirals | w 28-20 | 6-4 | olympisch stadion | 14,062 row 11 : 11 | sunday, june 23 | 6:00 p.m. | at scottish claymores | l 27-32 | 6-5 | murrayfield stadium | 38,982 | table_csv/204_123.csv | 1 | {
"column_index": [
3
],
"row_index": [
1
]
} | [
"what was the lowest amount of points an oppenent has scored in a game?",
"what was the name of the team that scored 3?"
] | 1 | london monarchs | [
"Week",
"Date",
"Kickoff",
"Opponent",
"Results Final score",
"Results Team record",
"Game site",
"Attendance"
] | what was the name of the team that scored 3? | [
[
"1",
"Saturday, April 13",
"7:00 p.m.",
"at Rhein Fire",
"W 27-21",
"1-0",
"Rheinstadion",
"32,092"
],
[
"2",
"Saturday, April 20",
"7:00 p.m.",
"London Monarchs",
"W 37-3",
"2-0",
"Waldstadion",
"34,186"
],
[
"3",
"Sunday, April 28",
"6:00 p.m.",
"at Barcelona Dragons",
"W 33-29",
"3-0",
"Estadi Olimpic de Montjuic",
"17,503"
],
[
"4",
"Sunday, May 5",
"7:00 p.m.",
"Amsterdam Admirals",
"W 40-28",
"4-0",
"Waldstadion",
"28,627"
],
[
"5",
"Saturday, May 11",
"7:00 p.m.",
"Scottish Claymores",
"L 0-20",
"4-1",
"Waldstadion",
"32,126"
],
[
"6",
"Sunday, May 19",
"3:00 p.m.",
"at London Monarchs",
"L 7-27",
"4-2",
"White Hart Lane",
"10,764"
],
[
"7",
"Sunday, May 26",
"3:00 p.m.",
"at Scottish Claymores",
"L 17-20",
"4-3",
"Murrayfield Stadium",
"13,116"
],
[
"8",
"Saturday, June 1",
"7:00 p.m.",
"Rhein Fire",
"L 8-31",
"4-4",
"Waldstadion",
"38,798"
],
[
"9",
"Saturday, June 8",
"7:00 p.m.",
"Barcelona Dragons",
"W 24-21",
"5-4",
"Waldstadion",
"33,115"
],
[
"10",
"Saturday, June 15",
"6:30 p.m.",
"at Amsterdam Admirals",
"W 28-20",
"6-4",
"Olympisch Stadion",
"14,062"
],
[
"11",
"Sunday, June 23",
"6:00 p.m.",
"at Scottish Claymores",
"L 27-32",
"6-5",
"Murrayfield Stadium",
"38,982"
]
] | [
"London Monarchs"
] | what was the name of the team that scored 3? || what was the lowest amount of points an oppenent has scored in a game? |
nt-3108 | col : week | date | kickoff | opponent | results final score | results team record | game site | attendance row 1 : 1 | saturday, april 13 | 7:00 p.m. | at rhein fire | w 27-21 | 1-0 | rheinstadion | 32,092 row 2 : 2 | saturday, april 20 | 7:00 p.m. | london monarchs | w 37-3 | 2-0 | waldstadion | 34,186 row 3 : 3 | sunday, april 28 | 6:00 p.m. | at barcelona dragons | w 33-29 | 3-0 | estadi olimpic de montjuic | 17,503 row 4 : 4 | sunday, may 5 | 7:00 p.m. | amsterdam admirals | w 40-28 | 4-0 | waldstadion | 28,627 row 5 : 5 | saturday, may 11 | 7:00 p.m. | scottish claymores | l 0-20 | 4-1 | waldstadion | 32,126 row 6 : 6 | sunday, may 19 | 3:00 p.m. | at london monarchs | l 7-27 | 4-2 | white hart lane | 10,764 row 7 : 7 | sunday, may 26 | 3:00 p.m. | at scottish claymores | l 17-20 | 4-3 | murrayfield stadium | 13,116 row 8 : 8 | saturday, june 1 | 7:00 p.m. | rhein fire | l 8-31 | 4-4 | waldstadion | 38,798 row 9 : 9 | saturday, june 8 | 7:00 p.m. | barcelona dragons | w 24-21 | 5-4 | waldstadion | 33,115 row 10 : 10 | saturday, june 15 | 6:30 p.m. | at amsterdam admirals | w 28-20 | 6-4 | olympisch stadion | 14,062 row 11 : 11 | sunday, june 23 | 6:00 p.m. | at scottish claymores | l 27-32 | 6-5 | murrayfield stadium | 38,982 | table_csv/204_123.csv | 0 | {
"column_index": [
3
],
"row_index": [
3
]
} | [
"which opponent had the most points in the game?"
] | 2 | amsterdam admirals | [
"Week",
"Date",
"Kickoff",
"Opponent",
"Results Final score",
"Results Team record",
"Game site",
"Attendance"
] | which opponent had the most points in the game? | [
[
"1",
"Saturday, April 13",
"7:00 p.m.",
"at Rhein Fire",
"W 27-21",
"1-0",
"Rheinstadion",
"32,092"
],
[
"2",
"Saturday, April 20",
"7:00 p.m.",
"London Monarchs",
"W 37-3",
"2-0",
"Waldstadion",
"34,186"
],
[
"3",
"Sunday, April 28",
"6:00 p.m.",
"at Barcelona Dragons",
"W 33-29",
"3-0",
"Estadi Olimpic de Montjuic",
"17,503"
],
[
"4",
"Sunday, May 5",
"7:00 p.m.",
"Amsterdam Admirals",
"W 40-28",
"4-0",
"Waldstadion",
"28,627"
],
[
"5",
"Saturday, May 11",
"7:00 p.m.",
"Scottish Claymores",
"L 0-20",
"4-1",
"Waldstadion",
"32,126"
],
[
"6",
"Sunday, May 19",
"3:00 p.m.",
"at London Monarchs",
"L 7-27",
"4-2",
"White Hart Lane",
"10,764"
],
[
"7",
"Sunday, May 26",
"3:00 p.m.",
"at Scottish Claymores",
"L 17-20",
"4-3",
"Murrayfield Stadium",
"13,116"
],
[
"8",
"Saturday, June 1",
"7:00 p.m.",
"Rhein Fire",
"L 8-31",
"4-4",
"Waldstadion",
"38,798"
],
[
"9",
"Saturday, June 8",
"7:00 p.m.",
"Barcelona Dragons",
"W 24-21",
"5-4",
"Waldstadion",
"33,115"
],
[
"10",
"Saturday, June 15",
"6:30 p.m.",
"at Amsterdam Admirals",
"W 28-20",
"6-4",
"Olympisch Stadion",
"14,062"
],
[
"11",
"Sunday, June 23",
"6:00 p.m.",
"at Scottish Claymores",
"L 27-32",
"6-5",
"Murrayfield Stadium",
"38,982"
]
] | [
"Amsterdam Admirals"
] | which opponent had the most points in the game? || |
nt-3108 | col : week | date | kickoff | opponent | results final score | results team record | game site | attendance row 1 : 1 | saturday, april 13 | 7:00 p.m. | at rhein fire | w 27-21 | 1-0 | rheinstadion | 32,092 row 2 : 2 | saturday, april 20 | 7:00 p.m. | london monarchs | w 37-3 | 2-0 | waldstadion | 34,186 row 3 : 3 | sunday, april 28 | 6:00 p.m. | at barcelona dragons | w 33-29 | 3-0 | estadi olimpic de montjuic | 17,503 row 4 : 4 | sunday, may 5 | 7:00 p.m. | amsterdam admirals | w 40-28 | 4-0 | waldstadion | 28,627 row 5 : 5 | saturday, may 11 | 7:00 p.m. | scottish claymores | l 0-20 | 4-1 | waldstadion | 32,126 row 6 : 6 | sunday, may 19 | 3:00 p.m. | at london monarchs | l 7-27 | 4-2 | white hart lane | 10,764 row 7 : 7 | sunday, may 26 | 3:00 p.m. | at scottish claymores | l 17-20 | 4-3 | murrayfield stadium | 13,116 row 8 : 8 | saturday, june 1 | 7:00 p.m. | rhein fire | l 8-31 | 4-4 | waldstadion | 38,798 row 9 : 9 | saturday, june 8 | 7:00 p.m. | barcelona dragons | w 24-21 | 5-4 | waldstadion | 33,115 row 10 : 10 | saturday, june 15 | 6:30 p.m. | at amsterdam admirals | w 28-20 | 6-4 | olympisch stadion | 14,062 row 11 : 11 | sunday, june 23 | 6:00 p.m. | at scottish claymores | l 27-32 | 6-5 | murrayfield stadium | 38,982 | table_csv/204_123.csv | 1 | {
"column_index": [
1
],
"row_index": [
1
]
} | [
"which opponent had the most points in the game?",
"what date did the london monarchs play?"
] | 2 | saturday, april 20 | [
"Week",
"Date",
"Kickoff",
"Opponent",
"Results Final score",
"Results Team record",
"Game site",
"Attendance"
] | what date did the london monarchs play? | [
[
"1",
"Saturday, April 13",
"7:00 p.m.",
"at Rhein Fire",
"W 27-21",
"1-0",
"Rheinstadion",
"32,092"
],
[
"2",
"Saturday, April 20",
"7:00 p.m.",
"London Monarchs",
"W 37-3",
"2-0",
"Waldstadion",
"34,186"
],
[
"3",
"Sunday, April 28",
"6:00 p.m.",
"at Barcelona Dragons",
"W 33-29",
"3-0",
"Estadi Olimpic de Montjuic",
"17,503"
],
[
"4",
"Sunday, May 5",
"7:00 p.m.",
"Amsterdam Admirals",
"W 40-28",
"4-0",
"Waldstadion",
"28,627"
],
[
"5",
"Saturday, May 11",
"7:00 p.m.",
"Scottish Claymores",
"L 0-20",
"4-1",
"Waldstadion",
"32,126"
],
[
"6",
"Sunday, May 19",
"3:00 p.m.",
"at London Monarchs",
"L 7-27",
"4-2",
"White Hart Lane",
"10,764"
],
[
"7",
"Sunday, May 26",
"3:00 p.m.",
"at Scottish Claymores",
"L 17-20",
"4-3",
"Murrayfield Stadium",
"13,116"
],
[
"8",
"Saturday, June 1",
"7:00 p.m.",
"Rhein Fire",
"L 8-31",
"4-4",
"Waldstadion",
"38,798"
],
[
"9",
"Saturday, June 8",
"7:00 p.m.",
"Barcelona Dragons",
"W 24-21",
"5-4",
"Waldstadion",
"33,115"
],
[
"10",
"Saturday, June 15",
"6:30 p.m.",
"at Amsterdam Admirals",
"W 28-20",
"6-4",
"Olympisch Stadion",
"14,062"
],
[
"11",
"Sunday, June 23",
"6:00 p.m.",
"at Scottish Claymores",
"L 27-32",
"6-5",
"Murrayfield Stadium",
"38,982"
]
] | [
"Saturday, April 20"
] | what date did the london monarchs play? || which opponent had the most points in the game? |
nt-3108 | col : week | date | kickoff | opponent | results final score | results team record | game site | attendance row 1 : 1 | saturday, april 13 | 7:00 p.m. | at rhein fire | w 27-21 | 1-0 | rheinstadion | 32,092 row 2 : 2 | saturday, april 20 | 7:00 p.m. | london monarchs | w 37-3 | 2-0 | waldstadion | 34,186 row 3 : 3 | sunday, april 28 | 6:00 p.m. | at barcelona dragons | w 33-29 | 3-0 | estadi olimpic de montjuic | 17,503 row 4 : 4 | sunday, may 5 | 7:00 p.m. | amsterdam admirals | w 40-28 | 4-0 | waldstadion | 28,627 row 5 : 5 | saturday, may 11 | 7:00 p.m. | scottish claymores | l 0-20 | 4-1 | waldstadion | 32,126 row 6 : 6 | sunday, may 19 | 3:00 p.m. | at london monarchs | l 7-27 | 4-2 | white hart lane | 10,764 row 7 : 7 | sunday, may 26 | 3:00 p.m. | at scottish claymores | l 17-20 | 4-3 | murrayfield stadium | 13,116 row 8 : 8 | saturday, june 1 | 7:00 p.m. | rhein fire | l 8-31 | 4-4 | waldstadion | 38,798 row 9 : 9 | saturday, june 8 | 7:00 p.m. | barcelona dragons | w 24-21 | 5-4 | waldstadion | 33,115 row 10 : 10 | saturday, june 15 | 6:30 p.m. | at amsterdam admirals | w 28-20 | 6-4 | olympisch stadion | 14,062 row 11 : 11 | sunday, june 23 | 6:00 p.m. | at scottish claymores | l 27-32 | 6-5 | murrayfield stadium | 38,982 | table_csv/204_123.csv | 2 | {
"column_index": [
3
],
"row_index": [
1
]
} | [
"which opponent had the most points in the game?",
"what date did the london monarchs play?",
"who scored the least points?"
] | 2 | london monarchs | [
"Week",
"Date",
"Kickoff",
"Opponent",
"Results Final score",
"Results Team record",
"Game site",
"Attendance"
] | who scored the least points? | [
[
"1",
"Saturday, April 13",
"7:00 p.m.",
"at Rhein Fire",
"W 27-21",
"1-0",
"Rheinstadion",
"32,092"
],
[
"2",
"Saturday, April 20",
"7:00 p.m.",
"London Monarchs",
"W 37-3",
"2-0",
"Waldstadion",
"34,186"
],
[
"3",
"Sunday, April 28",
"6:00 p.m.",
"at Barcelona Dragons",
"W 33-29",
"3-0",
"Estadi Olimpic de Montjuic",
"17,503"
],
[
"4",
"Sunday, May 5",
"7:00 p.m.",
"Amsterdam Admirals",
"W 40-28",
"4-0",
"Waldstadion",
"28,627"
],
[
"5",
"Saturday, May 11",
"7:00 p.m.",
"Scottish Claymores",
"L 0-20",
"4-1",
"Waldstadion",
"32,126"
],
[
"6",
"Sunday, May 19",
"3:00 p.m.",
"at London Monarchs",
"L 7-27",
"4-2",
"White Hart Lane",
"10,764"
],
[
"7",
"Sunday, May 26",
"3:00 p.m.",
"at Scottish Claymores",
"L 17-20",
"4-3",
"Murrayfield Stadium",
"13,116"
],
[
"8",
"Saturday, June 1",
"7:00 p.m.",
"Rhein Fire",
"L 8-31",
"4-4",
"Waldstadion",
"38,798"
],
[
"9",
"Saturday, June 8",
"7:00 p.m.",
"Barcelona Dragons",
"W 24-21",
"5-4",
"Waldstadion",
"33,115"
],
[
"10",
"Saturday, June 15",
"6:30 p.m.",
"at Amsterdam Admirals",
"W 28-20",
"6-4",
"Olympisch Stadion",
"14,062"
],
[
"11",
"Sunday, June 23",
"6:00 p.m.",
"at Scottish Claymores",
"L 27-32",
"6-5",
"Murrayfield Stadium",
"38,982"
]
] | [
"London Monarchs"
] | who scored the least points? || what date did the london monarchs play? | which opponent had the most points in the game? |
nt-4734 | col : tribunal | number of autos da fe | executions in persona | executions in effigie | penanced | total row 1 : barcelona | 8 | 1 | 1 | 15 | 17 row 2 : logrono | 1 | 1 | 0 | 0? | 1? row 3 : palma de mallorca | 3 | 0 | 0 | 11 | 11 row 4 : saragossa | 1 | 0 | 0 | 3 | 3 row 5 : valencia | 4 | 2 | 0 | 49 | 51 row 6 : las palmas | 0 | 0 | 0 | 0 | 0 row 7 : cordoba | 13 | 17 | 19 | 125 | 161 row 8 : cuenca | 7 | 7 | 10 | 35 | 52 row 9 : santiago de compostela | 4 | 0 | 0 | 13 | 13 row 10 : granada | 15 | 36 | 47 | 369 | 452 row 11 : llerena | 5 | 1 | 0 | 45 | 46 row 12 : madrid | 4 | 11 | 13 | 46 | 70 row 13 : murcia | 6 | 4 | 1 | 106 | 111 row 14 : seville | 15 | 16 | 10 | 220 | 246 row 15 : toledo | 33 | 6 | 14 | 128 | 148 row 16 : valladolid | 10 | 9 | 2 | 70 | 81 row 17 : total | 125 | 111 | 117 | 1235 | 1463 | table_csv/203_303.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
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"row_index": [
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2,
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4,
5,
6,
7,
8,
9,
10,
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12,
13,
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15
]
} | [
"what are all of the tribunals?"
] | 0 | barcelona, logrono, palma de mallorca, saragossa, valencia, las palmas, cordoba, cuenca, santiago de compostela, granada, llerena, madrid, murcia, seville, toledo, valladolid | [
"Tribunal",
"Number of autos da fe",
"Executions in persona",
"Executions in effigie",
"Penanced",
"Total"
] | what are all of the tribunals? | [
[
"Barcelona",
"8",
"1",
"1",
"15",
"17"
],
[
"Logrono",
"1",
"1",
"0",
"0?",
"1?"
],
[
"Palma de Mallorca",
"3",
"0",
"0",
"11",
"11"
],
[
"Saragossa",
"1",
"0",
"0",
"3",
"3"
],
[
"Valencia",
"4",
"2",
"0",
"49",
"51"
],
[
"Las Palmas",
"0",
"0",
"0",
"0",
"0"
],
[
"Cordoba",
"13",
"17",
"19",
"125",
"161"
],
[
"Cuenca",
"7",
"7",
"10",
"35",
"52"
],
[
"Santiago de Compostela",
"4",
"0",
"0",
"13",
"13"
],
[
"Granada",
"15",
"36",
"47",
"369",
"452"
],
[
"Llerena",
"5",
"1",
"0",
"45",
"46"
],
[
"Madrid",
"4",
"11",
"13",
"46",
"70"
],
[
"Murcia",
"6",
"4",
"1",
"106",
"111"
],
[
"Seville",
"15",
"16",
"10",
"220",
"246"
],
[
"Toledo",
"33",
"6",
"14",
"128",
"148"
],
[
"Valladolid",
"10",
"9",
"2",
"70",
"81"
],
[
"Total",
"125",
"111",
"117",
"1235",
"1463"
]
] | [
"Barcelona",
"Logrono",
"Palma de Mallorca",
"Saragossa",
"Valencia",
"Las Palmas",
"Cordoba",
"Cuenca",
"Santiago de Compostela",
"Granada",
"Llerena",
"Madrid",
"Murcia",
"Seville",
"Toledo",
"Valladolid"
] | what are all of the tribunals? || |
nt-4734 | col : tribunal | number of autos da fe | executions in persona | executions in effigie | penanced | total row 1 : barcelona | 8 | 1 | 1 | 15 | 17 row 2 : logrono | 1 | 1 | 0 | 0? | 1? row 3 : palma de mallorca | 3 | 0 | 0 | 11 | 11 row 4 : saragossa | 1 | 0 | 0 | 3 | 3 row 5 : valencia | 4 | 2 | 0 | 49 | 51 row 6 : las palmas | 0 | 0 | 0 | 0 | 0 row 7 : cordoba | 13 | 17 | 19 | 125 | 161 row 8 : cuenca | 7 | 7 | 10 | 35 | 52 row 9 : santiago de compostela | 4 | 0 | 0 | 13 | 13 row 10 : granada | 15 | 36 | 47 | 369 | 452 row 11 : llerena | 5 | 1 | 0 | 45 | 46 row 12 : madrid | 4 | 11 | 13 | 46 | 70 row 13 : murcia | 6 | 4 | 1 | 106 | 111 row 14 : seville | 15 | 16 | 10 | 220 | 246 row 15 : toledo | 33 | 6 | 14 | 128 | 148 row 16 : valladolid | 10 | 9 | 2 | 70 | 81 row 17 : total | 125 | 111 | 117 | 1235 | 1463 | table_csv/203_303.csv | 1 | {
"column_index": [
0
],
"row_index": [
5
]
} | [
"what are all of the tribunals?",
"did any have no autos da fe?"
] | 0 | las palmas | [
"Tribunal",
"Number of autos da fe",
"Executions in persona",
"Executions in effigie",
"Penanced",
"Total"
] | did any have no autos da fe? | [
[
"Barcelona",
"8",
"1",
"1",
"15",
"17"
],
[
"Logrono",
"1",
"1",
"0",
"0?",
"1?"
],
[
"Palma de Mallorca",
"3",
"0",
"0",
"11",
"11"
],
[
"Saragossa",
"1",
"0",
"0",
"3",
"3"
],
[
"Valencia",
"4",
"2",
"0",
"49",
"51"
],
[
"Las Palmas",
"0",
"0",
"0",
"0",
"0"
],
[
"Cordoba",
"13",
"17",
"19",
"125",
"161"
],
[
"Cuenca",
"7",
"7",
"10",
"35",
"52"
],
[
"Santiago de Compostela",
"4",
"0",
"0",
"13",
"13"
],
[
"Granada",
"15",
"36",
"47",
"369",
"452"
],
[
"Llerena",
"5",
"1",
"0",
"45",
"46"
],
[
"Madrid",
"4",
"11",
"13",
"46",
"70"
],
[
"Murcia",
"6",
"4",
"1",
"106",
"111"
],
[
"Seville",
"15",
"16",
"10",
"220",
"246"
],
[
"Toledo",
"33",
"6",
"14",
"128",
"148"
],
[
"Valladolid",
"10",
"9",
"2",
"70",
"81"
],
[
"Total",
"125",
"111",
"117",
"1235",
"1463"
]
] | [
"Las Palmas"
] | did any have no autos da fe? || what are all of the tribunals? |
nt-4734 | col : tribunal | number of autos da fe | executions in persona | executions in effigie | penanced | total row 1 : barcelona | 8 | 1 | 1 | 15 | 17 row 2 : logrono | 1 | 1 | 0 | 0? | 1? row 3 : palma de mallorca | 3 | 0 | 0 | 11 | 11 row 4 : saragossa | 1 | 0 | 0 | 3 | 3 row 5 : valencia | 4 | 2 | 0 | 49 | 51 row 6 : las palmas | 0 | 0 | 0 | 0 | 0 row 7 : cordoba | 13 | 17 | 19 | 125 | 161 row 8 : cuenca | 7 | 7 | 10 | 35 | 52 row 9 : santiago de compostela | 4 | 0 | 0 | 13 | 13 row 10 : granada | 15 | 36 | 47 | 369 | 452 row 11 : llerena | 5 | 1 | 0 | 45 | 46 row 12 : madrid | 4 | 11 | 13 | 46 | 70 row 13 : murcia | 6 | 4 | 1 | 106 | 111 row 14 : seville | 15 | 16 | 10 | 220 | 246 row 15 : toledo | 33 | 6 | 14 | 128 | 148 row 16 : valladolid | 10 | 9 | 2 | 70 | 81 row 17 : total | 125 | 111 | 117 | 1235 | 1463 | table_csv/203_303.csv | 0 | {
"column_index": [
1
],
"row_index": [
5
]
} | [
"what is the lowest number of autos da fe shown here?"
] | 1 | 0 | [
"Tribunal",
"Number of autos da fe",
"Executions in persona",
"Executions in effigie",
"Penanced",
"Total"
] | what is the lowest number of autos da fe shown here? | [
[
"Barcelona",
"8",
"1",
"1",
"15",
"17"
],
[
"Logrono",
"1",
"1",
"0",
"0?",
"1?"
],
[
"Palma de Mallorca",
"3",
"0",
"0",
"11",
"11"
],
[
"Saragossa",
"1",
"0",
"0",
"3",
"3"
],
[
"Valencia",
"4",
"2",
"0",
"49",
"51"
],
[
"Las Palmas",
"0",
"0",
"0",
"0",
"0"
],
[
"Cordoba",
"13",
"17",
"19",
"125",
"161"
],
[
"Cuenca",
"7",
"7",
"10",
"35",
"52"
],
[
"Santiago de Compostela",
"4",
"0",
"0",
"13",
"13"
],
[
"Granada",
"15",
"36",
"47",
"369",
"452"
],
[
"Llerena",
"5",
"1",
"0",
"45",
"46"
],
[
"Madrid",
"4",
"11",
"13",
"46",
"70"
],
[
"Murcia",
"6",
"4",
"1",
"106",
"111"
],
[
"Seville",
"15",
"16",
"10",
"220",
"246"
],
[
"Toledo",
"33",
"6",
"14",
"128",
"148"
],
[
"Valladolid",
"10",
"9",
"2",
"70",
"81"
],
[
"Total",
"125",
"111",
"117",
"1235",
"1463"
]
] | [
"0"
] | what is the lowest number of autos da fe shown here? || |
nt-4734 | col : tribunal | number of autos da fe | executions in persona | executions in effigie | penanced | total row 1 : barcelona | 8 | 1 | 1 | 15 | 17 row 2 : logrono | 1 | 1 | 0 | 0? | 1? row 3 : palma de mallorca | 3 | 0 | 0 | 11 | 11 row 4 : saragossa | 1 | 0 | 0 | 3 | 3 row 5 : valencia | 4 | 2 | 0 | 49 | 51 row 6 : las palmas | 0 | 0 | 0 | 0 | 0 row 7 : cordoba | 13 | 17 | 19 | 125 | 161 row 8 : cuenca | 7 | 7 | 10 | 35 | 52 row 9 : santiago de compostela | 4 | 0 | 0 | 13 | 13 row 10 : granada | 15 | 36 | 47 | 369 | 452 row 11 : llerena | 5 | 1 | 0 | 45 | 46 row 12 : madrid | 4 | 11 | 13 | 46 | 70 row 13 : murcia | 6 | 4 | 1 | 106 | 111 row 14 : seville | 15 | 16 | 10 | 220 | 246 row 15 : toledo | 33 | 6 | 14 | 128 | 148 row 16 : valladolid | 10 | 9 | 2 | 70 | 81 row 17 : total | 125 | 111 | 117 | 1235 | 1463 | table_csv/203_303.csv | 1 | {
"column_index": [
0
],
"row_index": [
5
]
} | [
"what is the lowest number of autos da fe shown here?",
"what tribunal had 0 autos da fe?"
] | 1 | las palmas | [
"Tribunal",
"Number of autos da fe",
"Executions in persona",
"Executions in effigie",
"Penanced",
"Total"
] | what tribunal had 0 autos da fe? | [
[
"Barcelona",
"8",
"1",
"1",
"15",
"17"
],
[
"Logrono",
"1",
"1",
"0",
"0?",
"1?"
],
[
"Palma de Mallorca",
"3",
"0",
"0",
"11",
"11"
],
[
"Saragossa",
"1",
"0",
"0",
"3",
"3"
],
[
"Valencia",
"4",
"2",
"0",
"49",
"51"
],
[
"Las Palmas",
"0",
"0",
"0",
"0",
"0"
],
[
"Cordoba",
"13",
"17",
"19",
"125",
"161"
],
[
"Cuenca",
"7",
"7",
"10",
"35",
"52"
],
[
"Santiago de Compostela",
"4",
"0",
"0",
"13",
"13"
],
[
"Granada",
"15",
"36",
"47",
"369",
"452"
],
[
"Llerena",
"5",
"1",
"0",
"45",
"46"
],
[
"Madrid",
"4",
"11",
"13",
"46",
"70"
],
[
"Murcia",
"6",
"4",
"1",
"106",
"111"
],
[
"Seville",
"15",
"16",
"10",
"220",
"246"
],
[
"Toledo",
"33",
"6",
"14",
"128",
"148"
],
[
"Valladolid",
"10",
"9",
"2",
"70",
"81"
],
[
"Total",
"125",
"111",
"117",
"1235",
"1463"
]
] | [
"Las Palmas"
] | what tribunal had 0 autos da fe? || what is the lowest number of autos da fe shown here? |
nt-4734 | col : tribunal | number of autos da fe | executions in persona | executions in effigie | penanced | total row 1 : barcelona | 8 | 1 | 1 | 15 | 17 row 2 : logrono | 1 | 1 | 0 | 0? | 1? row 3 : palma de mallorca | 3 | 0 | 0 | 11 | 11 row 4 : saragossa | 1 | 0 | 0 | 3 | 3 row 5 : valencia | 4 | 2 | 0 | 49 | 51 row 6 : las palmas | 0 | 0 | 0 | 0 | 0 row 7 : cordoba | 13 | 17 | 19 | 125 | 161 row 8 : cuenca | 7 | 7 | 10 | 35 | 52 row 9 : santiago de compostela | 4 | 0 | 0 | 13 | 13 row 10 : granada | 15 | 36 | 47 | 369 | 452 row 11 : llerena | 5 | 1 | 0 | 45 | 46 row 12 : madrid | 4 | 11 | 13 | 46 | 70 row 13 : murcia | 6 | 4 | 1 | 106 | 111 row 14 : seville | 15 | 16 | 10 | 220 | 246 row 15 : toledo | 33 | 6 | 14 | 128 | 148 row 16 : valladolid | 10 | 9 | 2 | 70 | 81 row 17 : total | 125 | 111 | 117 | 1235 | 1463 | table_csv/203_303.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
5,
8,
10
]
} | [
"which tribunals had fewer than 50 total crimes?"
] | 2 | barcelona, logrono, palma de mallorca, saragossa, las palmas, santiago de compostela, llerena | [
"Tribunal",
"Number of autos da fe",
"Executions in persona",
"Executions in effigie",
"Penanced",
"Total"
] | which tribunals had fewer than 50 total crimes? | [
[
"Barcelona",
"8",
"1",
"1",
"15",
"17"
],
[
"Logrono",
"1",
"1",
"0",
"0?",
"1?"
],
[
"Palma de Mallorca",
"3",
"0",
"0",
"11",
"11"
],
[
"Saragossa",
"1",
"0",
"0",
"3",
"3"
],
[
"Valencia",
"4",
"2",
"0",
"49",
"51"
],
[
"Las Palmas",
"0",
"0",
"0",
"0",
"0"
],
[
"Cordoba",
"13",
"17",
"19",
"125",
"161"
],
[
"Cuenca",
"7",
"7",
"10",
"35",
"52"
],
[
"Santiago de Compostela",
"4",
"0",
"0",
"13",
"13"
],
[
"Granada",
"15",
"36",
"47",
"369",
"452"
],
[
"Llerena",
"5",
"1",
"0",
"45",
"46"
],
[
"Madrid",
"4",
"11",
"13",
"46",
"70"
],
[
"Murcia",
"6",
"4",
"1",
"106",
"111"
],
[
"Seville",
"15",
"16",
"10",
"220",
"246"
],
[
"Toledo",
"33",
"6",
"14",
"128",
"148"
],
[
"Valladolid",
"10",
"9",
"2",
"70",
"81"
],
[
"Total",
"125",
"111",
"117",
"1235",
"1463"
]
] | [
"Barcelona",
"Logrono",
"Palma de Mallorca",
"Saragossa",
"Las Palmas",
"Santiago de Compostela",
"Llerena"
] | which tribunals had fewer than 50 total crimes? || |
nt-4734 | col : tribunal | number of autos da fe | executions in persona | executions in effigie | penanced | total row 1 : barcelona | 8 | 1 | 1 | 15 | 17 row 2 : logrono | 1 | 1 | 0 | 0? | 1? row 3 : palma de mallorca | 3 | 0 | 0 | 11 | 11 row 4 : saragossa | 1 | 0 | 0 | 3 | 3 row 5 : valencia | 4 | 2 | 0 | 49 | 51 row 6 : las palmas | 0 | 0 | 0 | 0 | 0 row 7 : cordoba | 13 | 17 | 19 | 125 | 161 row 8 : cuenca | 7 | 7 | 10 | 35 | 52 row 9 : santiago de compostela | 4 | 0 | 0 | 13 | 13 row 10 : granada | 15 | 36 | 47 | 369 | 452 row 11 : llerena | 5 | 1 | 0 | 45 | 46 row 12 : madrid | 4 | 11 | 13 | 46 | 70 row 13 : murcia | 6 | 4 | 1 | 106 | 111 row 14 : seville | 15 | 16 | 10 | 220 | 246 row 15 : toledo | 33 | 6 | 14 | 128 | 148 row 16 : valladolid | 10 | 9 | 2 | 70 | 81 row 17 : total | 125 | 111 | 117 | 1235 | 1463 | table_csv/203_303.csv | 1 | {
"column_index": [
0
],
"row_index": [
5
]
} | [
"which tribunals had fewer than 50 total crimes?",
"of these tribunals, which one had the fewest number of autos da fe?"
] | 2 | las palmas | [
"Tribunal",
"Number of autos da fe",
"Executions in persona",
"Executions in effigie",
"Penanced",
"Total"
] | of these tribunals, which one had the fewest number of autos da fe? | [
[
"Barcelona",
"8",
"1",
"1",
"15",
"17"
],
[
"Logrono",
"1",
"1",
"0",
"0?",
"1?"
],
[
"Palma de Mallorca",
"3",
"0",
"0",
"11",
"11"
],
[
"Saragossa",
"1",
"0",
"0",
"3",
"3"
],
[
"Valencia",
"4",
"2",
"0",
"49",
"51"
],
[
"Las Palmas",
"0",
"0",
"0",
"0",
"0"
],
[
"Cordoba",
"13",
"17",
"19",
"125",
"161"
],
[
"Cuenca",
"7",
"7",
"10",
"35",
"52"
],
[
"Santiago de Compostela",
"4",
"0",
"0",
"13",
"13"
],
[
"Granada",
"15",
"36",
"47",
"369",
"452"
],
[
"Llerena",
"5",
"1",
"0",
"45",
"46"
],
[
"Madrid",
"4",
"11",
"13",
"46",
"70"
],
[
"Murcia",
"6",
"4",
"1",
"106",
"111"
],
[
"Seville",
"15",
"16",
"10",
"220",
"246"
],
[
"Toledo",
"33",
"6",
"14",
"128",
"148"
],
[
"Valladolid",
"10",
"9",
"2",
"70",
"81"
],
[
"Total",
"125",
"111",
"117",
"1235",
"1463"
]
] | [
"Las Palmas"
] | of these tribunals, which one had the fewest number of autos da fe? || which tribunals had fewer than 50 total crimes? |
nt-6996 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 row 8 : 7 | kazakhstan | 0 | 0 | 1 | 1 row 9 : 7 | syria | 0 | 0 | 1 | 1 row 10 : total | total | 15 | 13 | 15 | 43 | table_csv/204_320.csv | 0 | {
"column_index": [
3
],
"row_index": [
6
]
} | [
"how many silver medals did india win?"
] | 0 | 0 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | how many silver medals did india win? | [
[
"1",
"China",
"10",
"5",
"1",
"16"
],
[
"2",
"North Korea",
"3",
"3",
"4",
"10"
],
[
"3",
"Japan",
"1",
"3",
"3",
"7"
],
[
"4",
"Chinese Taipei",
"1",
"1",
"1",
"3"
],
[
"5",
"Hong Kong",
"0",
"1",
"0",
"1"
],
[
"6",
"South Korea",
"0",
"0",
"3",
"3"
],
[
"7",
"India",
"0",
"0",
"1",
"1"
],
[
"7",
"Kazakhstan",
"0",
"0",
"1",
"1"
],
[
"7",
"Syria",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"15",
"13",
"15",
"43"
]
] | [
"0"
] | how many silver medals did india win? || |
nt-6996 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 row 8 : 7 | kazakhstan | 0 | 0 | 1 | 1 row 9 : 7 | syria | 0 | 0 | 1 | 1 row 10 : total | total | 15 | 13 | 15 | 43 | table_csv/204_320.csv | 1 | {
"column_index": [
1
],
"row_index": [
4
]
} | [
"how many silver medals did india win?",
"who won more silver medals than this amount. syria or hong kong?"
] | 0 | hong kong | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | who won more silver medals than this amount. syria or hong kong? | [
[
"1",
"China",
"10",
"5",
"1",
"16"
],
[
"2",
"North Korea",
"3",
"3",
"4",
"10"
],
[
"3",
"Japan",
"1",
"3",
"3",
"7"
],
[
"4",
"Chinese Taipei",
"1",
"1",
"1",
"3"
],
[
"5",
"Hong Kong",
"0",
"1",
"0",
"1"
],
[
"6",
"South Korea",
"0",
"0",
"3",
"3"
],
[
"7",
"India",
"0",
"0",
"1",
"1"
],
[
"7",
"Kazakhstan",
"0",
"0",
"1",
"1"
],
[
"7",
"Syria",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"15",
"13",
"15",
"43"
]
] | [
"Hong Kong"
] | who won more silver medals than this amount. syria or hong kong? || how many silver medals did india win? |
nt-6996 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 row 8 : 7 | kazakhstan | 0 | 0 | 1 | 1 row 9 : 7 | syria | 0 | 0 | 1 | 1 row 10 : total | total | 15 | 13 | 15 | 43 | table_csv/204_320.csv | 0 | {
"column_index": [
1,
1,
1,
1,
1
],
"row_index": [
4,
5,
6,
7,
8
]
} | [
"which nations did not win any gold medals in the 2006 asian artistic gymnastics championships?"
] | 1 | hong kong, south korea, india, kazakhstan, syria | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which nations did not win any gold medals in the 2006 asian artistic gymnastics championships? | [
[
"1",
"China",
"10",
"5",
"1",
"16"
],
[
"2",
"North Korea",
"3",
"3",
"4",
"10"
],
[
"3",
"Japan",
"1",
"3",
"3",
"7"
],
[
"4",
"Chinese Taipei",
"1",
"1",
"1",
"3"
],
[
"5",
"Hong Kong",
"0",
"1",
"0",
"1"
],
[
"6",
"South Korea",
"0",
"0",
"3",
"3"
],
[
"7",
"India",
"0",
"0",
"1",
"1"
],
[
"7",
"Kazakhstan",
"0",
"0",
"1",
"1"
],
[
"7",
"Syria",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"15",
"13",
"15",
"43"
]
] | [
"Hong Kong",
"South Korea",
"India",
"Kazakhstan",
"Syria"
] | which nations did not win any gold medals in the 2006 asian artistic gymnastics championships? || |
nt-6996 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 row 8 : 7 | kazakhstan | 0 | 0 | 1 | 1 row 9 : 7 | syria | 0 | 0 | 1 | 1 row 10 : total | total | 15 | 13 | 15 | 43 | table_csv/204_320.csv | 1 | {
"column_index": [
1,
1,
1,
1
],
"row_index": [
4,
6,
7,
8
]
} | [
"which nations did not win any gold medals in the 2006 asian artistic gymnastics championships?",
"of those which ones only won one medal?"
] | 1 | hong kong, india, kazakhstan, syria | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | of those which ones only won one medal? | [
[
"1",
"China",
"10",
"5",
"1",
"16"
],
[
"2",
"North Korea",
"3",
"3",
"4",
"10"
],
[
"3",
"Japan",
"1",
"3",
"3",
"7"
],
[
"4",
"Chinese Taipei",
"1",
"1",
"1",
"3"
],
[
"5",
"Hong Kong",
"0",
"1",
"0",
"1"
],
[
"6",
"South Korea",
"0",
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"3",
"3"
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[
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"0",
"1",
"1"
],
[
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"Kazakhstan",
"0",
"0",
"1",
"1"
],
[
"7",
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"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"15",
"13",
"15",
"43"
]
] | [
"Hong Kong",
"India",
"Kazakhstan",
"Syria"
] | of those which ones only won one medal? || which nations did not win any gold medals in the 2006 asian artistic gymnastics championships? |
nt-6996 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 row 8 : 7 | kazakhstan | 0 | 0 | 1 | 1 row 9 : 7 | syria | 0 | 0 | 1 | 1 row 10 : total | total | 15 | 13 | 15 | 43 | table_csv/204_320.csv | 2 | {
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"row_index": [
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} | [
"which nations did not win any gold medals in the 2006 asian artistic gymnastics championships?",
"of those which ones only won one medal?",
"which of them won the highest medal?"
] | 1 | hong kong | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which of them won the highest medal? | [
[
"1",
"China",
"10",
"5",
"1",
"16"
],
[
"2",
"North Korea",
"3",
"3",
"4",
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],
[
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"1",
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],
[
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[
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"0",
"1",
"1"
],
[
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"Total",
"15",
"13",
"15",
"43"
]
] | [
"Hong Kong"
] | which of them won the highest medal? || of those which ones only won one medal? | which nations did not win any gold medals in the 2006 asian artistic gymnastics championships? |
nt-6996 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 row 8 : 7 | kazakhstan | 0 | 0 | 1 | 1 row 9 : 7 | syria | 0 | 0 | 1 | 1 row 10 : total | total | 15 | 13 | 15 | 43 | table_csv/204_320.csv | 0 | {
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} | [
"which nations competed in the 2006 asian artistic gymnastics championships?"
] | 2 | china, north korea, japan, chinese taipei, hong kong, south korea, india, kazakhstan, syria | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which nations competed in the 2006 asian artistic gymnastics championships? | [
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"China",
"10",
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"1",
"16"
],
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"North Korea",
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[
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[
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"0",
"1",
"1"
],
[
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"Total",
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"13",
"15",
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]
] | [
"China",
"North Korea",
"Japan",
"Chinese Taipei",
"Hong Kong",
"South Korea",
"India",
"Kazakhstan",
"Syria"
] | which nations competed in the 2006 asian artistic gymnastics championships? || |
nt-6996 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 row 8 : 7 | kazakhstan | 0 | 0 | 1 | 1 row 9 : 7 | syria | 0 | 0 | 1 | 1 row 10 : total | total | 15 | 13 | 15 | 43 | table_csv/204_320.csv | 1 | {
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} | [
"which nations competed in the 2006 asian artistic gymnastics championships?",
"and how many silver medals did they win?"
] | 2 | 5, 3, 3, 1, 1, 0, 0, 0, 0 | [
"Rank",
"Nation",
"Gold",
"Silver",
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[
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"3",
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] | [
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"3",
"1",
"1",
"0",
"0",
"0",
"0"
] | and how many silver medals did they win? || which nations competed in the 2006 asian artistic gymnastics championships? |
nt-6996 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 row 8 : 7 | kazakhstan | 0 | 0 | 1 | 1 row 9 : 7 | syria | 0 | 0 | 1 | 1 row 10 : total | total | 15 | 13 | 15 | 43 | table_csv/204_320.csv | 2 | {
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} | [
"which nations competed in the 2006 asian artistic gymnastics championships?",
"and how many silver medals did they win?",
"what about just hong kong and syria?"
] | 2 | 1, 0 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | what about just hong kong and syria? | [
[
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"China",
"10",
"5",
"1",
"16"
],
[
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"North Korea",
"3",
"3",
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"15",
"43"
]
] | [
"1",
"0"
] | what about just hong kong and syria? || and how many silver medals did they win? | which nations competed in the 2006 asian artistic gymnastics championships? |
nt-6996 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 row 8 : 7 | kazakhstan | 0 | 0 | 1 | 1 row 9 : 7 | syria | 0 | 0 | 1 | 1 row 10 : total | total | 15 | 13 | 15 | 43 | table_csv/204_320.csv | 3 | {
"column_index": [
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} | [
"which nations competed in the 2006 asian artistic gymnastics championships?",
"and how many silver medals did they win?",
"what about just hong kong and syria?",
"between those two nations, which won more silver medals?"
] | 2 | hong kong | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | between those two nations, which won more silver medals? | [
[
"1",
"China",
"10",
"5",
"1",
"16"
],
[
"2",
"North Korea",
"3",
"3",
"4",
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[
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],
[
"Total",
"Total",
"15",
"13",
"15",
"43"
]
] | [
"Hong Kong"
] | between those two nations, which won more silver medals? || what about just hong kong and syria? | and how many silver medals did they win? | which nations competed in the 2006 asian artistic gymnastics championships? |
ns-258 | col : pick | player | team | position | school row 1 : 1 | pat burrell | philadelphia phillies | 1b | university of miami row 2 : 2 | mark mulder | oakland athletics | p | michigan state university row 3 : 3 | corey patterson | chicago cubs | of | harrison hs (kennesaw, ga) row 4 : 4 | jeff austin | kansas city royals | p | stanford university row 5 : 5 | j. d. drew | st. louis cardinals | of | florida state university row 6 : 6 | ryan mills | minnesota twins | p | arizona state university row 7 : 7 | austin kearns | cincinnati reds | of | lafayette hs (lexington, ky) row 8 : 8 | felipe lopez | toronto blue jays | 3b | lake brantley hs (altamonte springs, row 9 : 9 | sean burroughs | san diego padres | 3b | woodrow wilson classical hs (long beach, ca) row 10 : 10 | carlos pena | texas rangers | 1b | northeastern university row 11 : 11 | josh mckinley | montreal expos | ss | malvern prep (malvern, pa) row 12 : 12 | adam everett | boston red sox | ss | university of south carolina row 13 : 13 | j.m. gold | milwaukee brewers | p | toms river hs north (toms river, nj) row 14 : 14 | jeff weaver | detroit tigers | p | fresno state university row 15 : 15 | clint johnston | pittsburgh pirates | 1b | vanderbilt university row 16 : 16 | kip wells | chicago white sox | p | baylor university row 17 : 17 | brad lidge | houston astros | p | university of notre dame row 18 : 18 | seth etherton | anaheim angels | p | university of southern california row 19 : 19 | tony torcato | san francisco giants | of | woodland hs (woodland, ca) row 20 : 20 | cc sabathia | cleveland indians | p | vallejo hs (vallejo, ca) row 21 : 21 | jason tyner | new york mets | of | texas a&m university row 22 : 22 | matt thornton | seattle mariners | p | grand valley state university row 23 : 23 | bubba crosby | los angeles dodgers | of | rice university row 24 : 24 | andy brown | new york yankees | of | richmond hs (richmond, in) row 25 : 25 | nate bump | san francisco giants | p | penn state university row 26 : 26 | rick elder | baltimore orioles | of | sprayberry hs (sprayberry, ga) row 27 : 27 | chip ambres | florida marlins | of | west brook hs (beaumont, tx) row 28 : 28 | matt roney | colorado rockies | p | edmond north hs (edmond, ok) row 29 : 29 | arturo mcdowell | san francisco giants | of | forest hill community hs (west palm beach, fl) row 30 : 30 | matt burch | kansas city royals | p | virginia commonwealth university | table_csv/203_618.csv | 0 | {
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} | [
"what are the names of the players?"
] | 0 | pat burrell, mark mulder, corey patterson, jeff austin, j. d. drew, ryan mills, austin kearns, felipe lopez, sean burroughs, carlos pena, josh mckinley, adam everett, j.m. gold, jeff weaver, clint johnston, kip wells, brad lidge, seth etherton, tony torcato, cc sabathia, jason tyner, matt thornton, bubba crosby, andy brown, nate bump, rick elder, chip ambres, matt roney, arturo mcdowell, matt burch | [
"Pick",
"Player",
"Team",
"Position",
"School"
] | what are the names of the players? | [
[
"1",
"Pat Burrell",
"Philadelphia Phillies",
"1B",
"University Of Miami"
],
[
"2",
"Mark Mulder",
"Oakland Athletics",
"P",
"Michigan State University"
],
[
"3",
"Corey Patterson",
"Chicago Cubs",
"OF",
"Harrison HS (Kennesaw, GA)"
],
[
"4",
"Jeff Austin",
"Kansas City Royals",
"P",
"Stanford University"
],
[
"5",
"J. D. Drew",
"St. Louis Cardinals",
"OF",
"Florida State University"
],
[
"6",
"Ryan Mills",
"Minnesota Twins",
"P",
"Arizona State University"
],
[
"7",
"Austin Kearns",
"Cincinnati Reds",
"OF",
"Lafayette HS (Lexington, KY)"
],
[
"8",
"Felipe Lopez",
"Toronto Blue Jays",
"3B",
"Lake Brantley HS (Altamonte Springs,"
],
[
"9",
"Sean Burroughs",
"San Diego Padres",
"3B",
"Woodrow Wilson Classical HS (Long Beach, CA)"
],
[
"10",
"Carlos Pena",
"Texas Rangers",
"1B",
"Northeastern University"
],
[
"11",
"Josh McKinley",
"Montreal Expos",
"SS",
"Malvern Prep (Malvern, PA)"
],
[
"12",
"Adam Everett",
"Boston Red Sox",
"SS",
"University of South Carolina"
],
[
"13",
"J.M. Gold",
"Milwaukee Brewers",
"P",
"Toms River HS North (Toms River, NJ)"
],
[
"14",
"Jeff Weaver",
"Detroit Tigers",
"P",
"Fresno State University"
],
[
"15",
"Clint Johnston",
"Pittsburgh Pirates",
"1B",
"Vanderbilt University"
],
[
"16",
"Kip Wells",
"Chicago White Sox",
"P",
"Baylor University"
],
[
"17",
"Brad Lidge",
"Houston Astros",
"P",
"University of Notre Dame"
],
[
"18",
"Seth Etherton",
"Anaheim Angels",
"P",
"University of Southern California"
],
[
"19",
"Tony Torcato",
"San Francisco Giants",
"OF",
"Woodland HS (Woodland, CA)"
],
[
"20",
"CC Sabathia",
"Cleveland Indians",
"P",
"Vallejo HS (Vallejo, CA)"
],
[
"21",
"Jason Tyner",
"New York Mets",
"OF",
"Texas A&M University"
],
[
"22",
"Matt Thornton",
"Seattle Mariners",
"P",
"Grand Valley State University"
],
[
"23",
"Bubba Crosby",
"Los Angeles Dodgers",
"OF",
"Rice University"
],
[
"24",
"Andy Brown",
"New York Yankees",
"OF",
"Richmond HS (Richmond, IN)"
],
[
"25",
"Nate Bump",
"San Francisco Giants",
"P",
"Penn State University"
],
[
"26",
"Rick Elder",
"Baltimore Orioles",
"OF",
"Sprayberry HS (Sprayberry, GA)"
],
[
"27",
"Chip Ambres",
"Florida Marlins",
"OF",
"West Brook HS (Beaumont, TX)"
],
[
"28",
"Matt Roney",
"Colorado Rockies",
"P",
"Edmond North HS (Edmond, OK)"
],
[
"29",
"Arturo McDowell",
"San Francisco Giants",
"OF",
"Forest Hill Community HS (West Palm Beach, FL)"
],
[
"30",
"Matt Burch",
"Kansas City Royals",
"P",
"Virginia Commonwealth University"
]
] | [
"Pat Burrell",
"Mark Mulder",
"Corey Patterson",
"Jeff Austin",
"J. D. Drew",
"Ryan Mills",
"Austin Kearns",
"Felipe Lopez",
"Sean Burroughs",
"Carlos Pena",
"Josh McKinley",
"Adam Everett",
"J.M. Gold",
"Jeff Weaver",
"Clint Johnston",
"Kip Wells",
"Brad Lidge",
"Seth Etherton",
"Tony Torcato",
"CC Sabathia",
"Jason Tyner",
"Matt Thornton",
"Bubba Crosby",
"Andy Brown",
"Nate Bump",
"Rick Elder",
"Chip Ambres",
"Matt Roney",
"Arturo McDowell",
"Matt Burch"
] | what are the names of the players? || |
ns-258 | col : pick | player | team | position | school row 1 : 1 | pat burrell | philadelphia phillies | 1b | university of miami row 2 : 2 | mark mulder | oakland athletics | p | michigan state university row 3 : 3 | corey patterson | chicago cubs | of | harrison hs (kennesaw, ga) row 4 : 4 | jeff austin | kansas city royals | p | stanford university row 5 : 5 | j. d. drew | st. louis cardinals | of | florida state university row 6 : 6 | ryan mills | minnesota twins | p | arizona state university row 7 : 7 | austin kearns | cincinnati reds | of | lafayette hs (lexington, ky) row 8 : 8 | felipe lopez | toronto blue jays | 3b | lake brantley hs (altamonte springs, row 9 : 9 | sean burroughs | san diego padres | 3b | woodrow wilson classical hs (long beach, ca) row 10 : 10 | carlos pena | texas rangers | 1b | northeastern university row 11 : 11 | josh mckinley | montreal expos | ss | malvern prep (malvern, pa) row 12 : 12 | adam everett | boston red sox | ss | university of south carolina row 13 : 13 | j.m. gold | milwaukee brewers | p | toms river hs north (toms river, nj) row 14 : 14 | jeff weaver | detroit tigers | p | fresno state university row 15 : 15 | clint johnston | pittsburgh pirates | 1b | vanderbilt university row 16 : 16 | kip wells | chicago white sox | p | baylor university row 17 : 17 | brad lidge | houston astros | p | university of notre dame row 18 : 18 | seth etherton | anaheim angels | p | university of southern california row 19 : 19 | tony torcato | san francisco giants | of | woodland hs (woodland, ca) row 20 : 20 | cc sabathia | cleveland indians | p | vallejo hs (vallejo, ca) row 21 : 21 | jason tyner | new york mets | of | texas a&m university row 22 : 22 | matt thornton | seattle mariners | p | grand valley state university row 23 : 23 | bubba crosby | los angeles dodgers | of | rice university row 24 : 24 | andy brown | new york yankees | of | richmond hs (richmond, in) row 25 : 25 | nate bump | san francisco giants | p | penn state university row 26 : 26 | rick elder | baltimore orioles | of | sprayberry hs (sprayberry, ga) row 27 : 27 | chip ambres | florida marlins | of | west brook hs (beaumont, tx) row 28 : 28 | matt roney | colorado rockies | p | edmond north hs (edmond, ok) row 29 : 29 | arturo mcdowell | san francisco giants | of | forest hill community hs (west palm beach, fl) row 30 : 30 | matt burch | kansas city royals | p | virginia commonwealth university | table_csv/203_618.csv | 1 | {
"column_index": [
2
],
"row_index": [
8
]
} | [
"what are the names of the players?",
"who did sean burroughs play for?"
] | 0 | san diego padres | [
"Pick",
"Player",
"Team",
"Position",
"School"
] | who did sean burroughs play for? | [
[
"1",
"Pat Burrell",
"Philadelphia Phillies",
"1B",
"University Of Miami"
],
[
"2",
"Mark Mulder",
"Oakland Athletics",
"P",
"Michigan State University"
],
[
"3",
"Corey Patterson",
"Chicago Cubs",
"OF",
"Harrison HS (Kennesaw, GA)"
],
[
"4",
"Jeff Austin",
"Kansas City Royals",
"P",
"Stanford University"
],
[
"5",
"J. D. Drew",
"St. Louis Cardinals",
"OF",
"Florida State University"
],
[
"6",
"Ryan Mills",
"Minnesota Twins",
"P",
"Arizona State University"
],
[
"7",
"Austin Kearns",
"Cincinnati Reds",
"OF",
"Lafayette HS (Lexington, KY)"
],
[
"8",
"Felipe Lopez",
"Toronto Blue Jays",
"3B",
"Lake Brantley HS (Altamonte Springs,"
],
[
"9",
"Sean Burroughs",
"San Diego Padres",
"3B",
"Woodrow Wilson Classical HS (Long Beach, CA)"
],
[
"10",
"Carlos Pena",
"Texas Rangers",
"1B",
"Northeastern University"
],
[
"11",
"Josh McKinley",
"Montreal Expos",
"SS",
"Malvern Prep (Malvern, PA)"
],
[
"12",
"Adam Everett",
"Boston Red Sox",
"SS",
"University of South Carolina"
],
[
"13",
"J.M. Gold",
"Milwaukee Brewers",
"P",
"Toms River HS North (Toms River, NJ)"
],
[
"14",
"Jeff Weaver",
"Detroit Tigers",
"P",
"Fresno State University"
],
[
"15",
"Clint Johnston",
"Pittsburgh Pirates",
"1B",
"Vanderbilt University"
],
[
"16",
"Kip Wells",
"Chicago White Sox",
"P",
"Baylor University"
],
[
"17",
"Brad Lidge",
"Houston Astros",
"P",
"University of Notre Dame"
],
[
"18",
"Seth Etherton",
"Anaheim Angels",
"P",
"University of Southern California"
],
[
"19",
"Tony Torcato",
"San Francisco Giants",
"OF",
"Woodland HS (Woodland, CA)"
],
[
"20",
"CC Sabathia",
"Cleveland Indians",
"P",
"Vallejo HS (Vallejo, CA)"
],
[
"21",
"Jason Tyner",
"New York Mets",
"OF",
"Texas A&M University"
],
[
"22",
"Matt Thornton",
"Seattle Mariners",
"P",
"Grand Valley State University"
],
[
"23",
"Bubba Crosby",
"Los Angeles Dodgers",
"OF",
"Rice University"
],
[
"24",
"Andy Brown",
"New York Yankees",
"OF",
"Richmond HS (Richmond, IN)"
],
[
"25",
"Nate Bump",
"San Francisco Giants",
"P",
"Penn State University"
],
[
"26",
"Rick Elder",
"Baltimore Orioles",
"OF",
"Sprayberry HS (Sprayberry, GA)"
],
[
"27",
"Chip Ambres",
"Florida Marlins",
"OF",
"West Brook HS (Beaumont, TX)"
],
[
"28",
"Matt Roney",
"Colorado Rockies",
"P",
"Edmond North HS (Edmond, OK)"
],
[
"29",
"Arturo McDowell",
"San Francisco Giants",
"OF",
"Forest Hill Community HS (West Palm Beach, FL)"
],
[
"30",
"Matt Burch",
"Kansas City Royals",
"P",
"Virginia Commonwealth University"
]
] | [
"San Diego Padres"
] | who did sean burroughs play for? || what are the names of the players? |
ns-258 | col : pick | player | team | position | school row 1 : 1 | pat burrell | philadelphia phillies | 1b | university of miami row 2 : 2 | mark mulder | oakland athletics | p | michigan state university row 3 : 3 | corey patterson | chicago cubs | of | harrison hs (kennesaw, ga) row 4 : 4 | jeff austin | kansas city royals | p | stanford university row 5 : 5 | j. d. drew | st. louis cardinals | of | florida state university row 6 : 6 | ryan mills | minnesota twins | p | arizona state university row 7 : 7 | austin kearns | cincinnati reds | of | lafayette hs (lexington, ky) row 8 : 8 | felipe lopez | toronto blue jays | 3b | lake brantley hs (altamonte springs, row 9 : 9 | sean burroughs | san diego padres | 3b | woodrow wilson classical hs (long beach, ca) row 10 : 10 | carlos pena | texas rangers | 1b | northeastern university row 11 : 11 | josh mckinley | montreal expos | ss | malvern prep (malvern, pa) row 12 : 12 | adam everett | boston red sox | ss | university of south carolina row 13 : 13 | j.m. gold | milwaukee brewers | p | toms river hs north (toms river, nj) row 14 : 14 | jeff weaver | detroit tigers | p | fresno state university row 15 : 15 | clint johnston | pittsburgh pirates | 1b | vanderbilt university row 16 : 16 | kip wells | chicago white sox | p | baylor university row 17 : 17 | brad lidge | houston astros | p | university of notre dame row 18 : 18 | seth etherton | anaheim angels | p | university of southern california row 19 : 19 | tony torcato | san francisco giants | of | woodland hs (woodland, ca) row 20 : 20 | cc sabathia | cleveland indians | p | vallejo hs (vallejo, ca) row 21 : 21 | jason tyner | new york mets | of | texas a&m university row 22 : 22 | matt thornton | seattle mariners | p | grand valley state university row 23 : 23 | bubba crosby | los angeles dodgers | of | rice university row 24 : 24 | andy brown | new york yankees | of | richmond hs (richmond, in) row 25 : 25 | nate bump | san francisco giants | p | penn state university row 26 : 26 | rick elder | baltimore orioles | of | sprayberry hs (sprayberry, ga) row 27 : 27 | chip ambres | florida marlins | of | west brook hs (beaumont, tx) row 28 : 28 | matt roney | colorado rockies | p | edmond north hs (edmond, ok) row 29 : 29 | arturo mcdowell | san francisco giants | of | forest hill community hs (west palm beach, fl) row 30 : 30 | matt burch | kansas city royals | p | virginia commonwealth university | table_csv/203_618.csv | 0 | {
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} | [
"what players are listed as part of the 1998 major league baseball draft?"
] | 1 | pat burrell, mark mulder, corey patterson, jeff austin, j. d. drew, ryan mills, austin kearns, felipe lopez, sean burroughs, carlos pena, josh mckinley, adam everett, j.m. gold, jeff weaver, clint johnston, kip wells, brad lidge, seth etherton, tony torcato, cc sabathia, jason tyner, matt thornton, bubba crosby, andy brown, nate bump, rick elder, chip ambres, matt roney, arturo mcdowell, matt burch | [
"Pick",
"Player",
"Team",
"Position",
"School"
] | what players are listed as part of the 1998 major league baseball draft? | [
[
"1",
"Pat Burrell",
"Philadelphia Phillies",
"1B",
"University Of Miami"
],
[
"2",
"Mark Mulder",
"Oakland Athletics",
"P",
"Michigan State University"
],
[
"3",
"Corey Patterson",
"Chicago Cubs",
"OF",
"Harrison HS (Kennesaw, GA)"
],
[
"4",
"Jeff Austin",
"Kansas City Royals",
"P",
"Stanford University"
],
[
"5",
"J. D. Drew",
"St. Louis Cardinals",
"OF",
"Florida State University"
],
[
"6",
"Ryan Mills",
"Minnesota Twins",
"P",
"Arizona State University"
],
[
"7",
"Austin Kearns",
"Cincinnati Reds",
"OF",
"Lafayette HS (Lexington, KY)"
],
[
"8",
"Felipe Lopez",
"Toronto Blue Jays",
"3B",
"Lake Brantley HS (Altamonte Springs,"
],
[
"9",
"Sean Burroughs",
"San Diego Padres",
"3B",
"Woodrow Wilson Classical HS (Long Beach, CA)"
],
[
"10",
"Carlos Pena",
"Texas Rangers",
"1B",
"Northeastern University"
],
[
"11",
"Josh McKinley",
"Montreal Expos",
"SS",
"Malvern Prep (Malvern, PA)"
],
[
"12",
"Adam Everett",
"Boston Red Sox",
"SS",
"University of South Carolina"
],
[
"13",
"J.M. Gold",
"Milwaukee Brewers",
"P",
"Toms River HS North (Toms River, NJ)"
],
[
"14",
"Jeff Weaver",
"Detroit Tigers",
"P",
"Fresno State University"
],
[
"15",
"Clint Johnston",
"Pittsburgh Pirates",
"1B",
"Vanderbilt University"
],
[
"16",
"Kip Wells",
"Chicago White Sox",
"P",
"Baylor University"
],
[
"17",
"Brad Lidge",
"Houston Astros",
"P",
"University of Notre Dame"
],
[
"18",
"Seth Etherton",
"Anaheim Angels",
"P",
"University of Southern California"
],
[
"19",
"Tony Torcato",
"San Francisco Giants",
"OF",
"Woodland HS (Woodland, CA)"
],
[
"20",
"CC Sabathia",
"Cleveland Indians",
"P",
"Vallejo HS (Vallejo, CA)"
],
[
"21",
"Jason Tyner",
"New York Mets",
"OF",
"Texas A&M University"
],
[
"22",
"Matt Thornton",
"Seattle Mariners",
"P",
"Grand Valley State University"
],
[
"23",
"Bubba Crosby",
"Los Angeles Dodgers",
"OF",
"Rice University"
],
[
"24",
"Andy Brown",
"New York Yankees",
"OF",
"Richmond HS (Richmond, IN)"
],
[
"25",
"Nate Bump",
"San Francisco Giants",
"P",
"Penn State University"
],
[
"26",
"Rick Elder",
"Baltimore Orioles",
"OF",
"Sprayberry HS (Sprayberry, GA)"
],
[
"27",
"Chip Ambres",
"Florida Marlins",
"OF",
"West Brook HS (Beaumont, TX)"
],
[
"28",
"Matt Roney",
"Colorado Rockies",
"P",
"Edmond North HS (Edmond, OK)"
],
[
"29",
"Arturo McDowell",
"San Francisco Giants",
"OF",
"Forest Hill Community HS (West Palm Beach, FL)"
],
[
"30",
"Matt Burch",
"Kansas City Royals",
"P",
"Virginia Commonwealth University"
]
] | [
"Pat Burrell",
"Mark Mulder",
"Corey Patterson",
"Jeff Austin",
"J. D. Drew",
"Ryan Mills",
"Austin Kearns",
"Felipe Lopez",
"Sean Burroughs",
"Carlos Pena",
"Josh McKinley",
"Adam Everett",
"J.M. Gold",
"Jeff Weaver",
"Clint Johnston",
"Kip Wells",
"Brad Lidge",
"Seth Etherton",
"Tony Torcato",
"CC Sabathia",
"Jason Tyner",
"Matt Thornton",
"Bubba Crosby",
"Andy Brown",
"Nate Bump",
"Rick Elder",
"Chip Ambres",
"Matt Roney",
"Arturo McDowell",
"Matt Burch"
] | what players are listed as part of the 1998 major league baseball draft? || |
ns-258 | col : pick | player | team | position | school row 1 : 1 | pat burrell | philadelphia phillies | 1b | university of miami row 2 : 2 | mark mulder | oakland athletics | p | michigan state university row 3 : 3 | corey patterson | chicago cubs | of | harrison hs (kennesaw, ga) row 4 : 4 | jeff austin | kansas city royals | p | stanford university row 5 : 5 | j. d. drew | st. louis cardinals | of | florida state university row 6 : 6 | ryan mills | minnesota twins | p | arizona state university row 7 : 7 | austin kearns | cincinnati reds | of | lafayette hs (lexington, ky) row 8 : 8 | felipe lopez | toronto blue jays | 3b | lake brantley hs (altamonte springs, row 9 : 9 | sean burroughs | san diego padres | 3b | woodrow wilson classical hs (long beach, ca) row 10 : 10 | carlos pena | texas rangers | 1b | northeastern university row 11 : 11 | josh mckinley | montreal expos | ss | malvern prep (malvern, pa) row 12 : 12 | adam everett | boston red sox | ss | university of south carolina row 13 : 13 | j.m. gold | milwaukee brewers | p | toms river hs north (toms river, nj) row 14 : 14 | jeff weaver | detroit tigers | p | fresno state university row 15 : 15 | clint johnston | pittsburgh pirates | 1b | vanderbilt university row 16 : 16 | kip wells | chicago white sox | p | baylor university row 17 : 17 | brad lidge | houston astros | p | university of notre dame row 18 : 18 | seth etherton | anaheim angels | p | university of southern california row 19 : 19 | tony torcato | san francisco giants | of | woodland hs (woodland, ca) row 20 : 20 | cc sabathia | cleveland indians | p | vallejo hs (vallejo, ca) row 21 : 21 | jason tyner | new york mets | of | texas a&m university row 22 : 22 | matt thornton | seattle mariners | p | grand valley state university row 23 : 23 | bubba crosby | los angeles dodgers | of | rice university row 24 : 24 | andy brown | new york yankees | of | richmond hs (richmond, in) row 25 : 25 | nate bump | san francisco giants | p | penn state university row 26 : 26 | rick elder | baltimore orioles | of | sprayberry hs (sprayberry, ga) row 27 : 27 | chip ambres | florida marlins | of | west brook hs (beaumont, tx) row 28 : 28 | matt roney | colorado rockies | p | edmond north hs (edmond, ok) row 29 : 29 | arturo mcdowell | san francisco giants | of | forest hill community hs (west palm beach, fl) row 30 : 30 | matt burch | kansas city royals | p | virginia commonwealth university | table_csv/203_618.csv | 1 | {
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} | [
"what players are listed as part of the 1998 major league baseball draft?",
"what teams drafted those players?"
] | 1 | philadelphia phillies, oakland athletics, chicago cubs, kansas city royals, st. louis cardinals, minnesota twins, cincinnati reds, toronto blue jays, san diego padres, texas rangers, montreal expos, boston red sox, milwaukee brewers, detroit tigers, pittsburgh pirates, chicago white sox, houston astros, anaheim angels, san francisco giants, cleveland indians, new york mets, seattle mariners, los angeles dodgers, new york yankees, san francisco giants, baltimore orioles, florida marlins, colorado rockies, san francisco giants, kansas city royals | [
"Pick",
"Player",
"Team",
"Position",
"School"
] | what teams drafted those players? | [
[
"1",
"Pat Burrell",
"Philadelphia Phillies",
"1B",
"University Of Miami"
],
[
"2",
"Mark Mulder",
"Oakland Athletics",
"P",
"Michigan State University"
],
[
"3",
"Corey Patterson",
"Chicago Cubs",
"OF",
"Harrison HS (Kennesaw, GA)"
],
[
"4",
"Jeff Austin",
"Kansas City Royals",
"P",
"Stanford University"
],
[
"5",
"J. D. Drew",
"St. Louis Cardinals",
"OF",
"Florida State University"
],
[
"6",
"Ryan Mills",
"Minnesota Twins",
"P",
"Arizona State University"
],
[
"7",
"Austin Kearns",
"Cincinnati Reds",
"OF",
"Lafayette HS (Lexington, KY)"
],
[
"8",
"Felipe Lopez",
"Toronto Blue Jays",
"3B",
"Lake Brantley HS (Altamonte Springs,"
],
[
"9",
"Sean Burroughs",
"San Diego Padres",
"3B",
"Woodrow Wilson Classical HS (Long Beach, CA)"
],
[
"10",
"Carlos Pena",
"Texas Rangers",
"1B",
"Northeastern University"
],
[
"11",
"Josh McKinley",
"Montreal Expos",
"SS",
"Malvern Prep (Malvern, PA)"
],
[
"12",
"Adam Everett",
"Boston Red Sox",
"SS",
"University of South Carolina"
],
[
"13",
"J.M. Gold",
"Milwaukee Brewers",
"P",
"Toms River HS North (Toms River, NJ)"
],
[
"14",
"Jeff Weaver",
"Detroit Tigers",
"P",
"Fresno State University"
],
[
"15",
"Clint Johnston",
"Pittsburgh Pirates",
"1B",
"Vanderbilt University"
],
[
"16",
"Kip Wells",
"Chicago White Sox",
"P",
"Baylor University"
],
[
"17",
"Brad Lidge",
"Houston Astros",
"P",
"University of Notre Dame"
],
[
"18",
"Seth Etherton",
"Anaheim Angels",
"P",
"University of Southern California"
],
[
"19",
"Tony Torcato",
"San Francisco Giants",
"OF",
"Woodland HS (Woodland, CA)"
],
[
"20",
"CC Sabathia",
"Cleveland Indians",
"P",
"Vallejo HS (Vallejo, CA)"
],
[
"21",
"Jason Tyner",
"New York Mets",
"OF",
"Texas A&M University"
],
[
"22",
"Matt Thornton",
"Seattle Mariners",
"P",
"Grand Valley State University"
],
[
"23",
"Bubba Crosby",
"Los Angeles Dodgers",
"OF",
"Rice University"
],
[
"24",
"Andy Brown",
"New York Yankees",
"OF",
"Richmond HS (Richmond, IN)"
],
[
"25",
"Nate Bump",
"San Francisco Giants",
"P",
"Penn State University"
],
[
"26",
"Rick Elder",
"Baltimore Orioles",
"OF",
"Sprayberry HS (Sprayberry, GA)"
],
[
"27",
"Chip Ambres",
"Florida Marlins",
"OF",
"West Brook HS (Beaumont, TX)"
],
[
"28",
"Matt Roney",
"Colorado Rockies",
"P",
"Edmond North HS (Edmond, OK)"
],
[
"29",
"Arturo McDowell",
"San Francisco Giants",
"OF",
"Forest Hill Community HS (West Palm Beach, FL)"
],
[
"30",
"Matt Burch",
"Kansas City Royals",
"P",
"Virginia Commonwealth University"
]
] | [
"Philadelphia Phillies",
"Oakland Athletics",
"Chicago Cubs",
"Kansas City Royals",
"St. Louis Cardinals",
"Minnesota Twins",
"Cincinnati Reds",
"Toronto Blue Jays",
"San Diego Padres",
"Texas Rangers",
"Montreal Expos",
"Boston Red Sox",
"Milwaukee Brewers",
"Detroit Tigers",
"Pittsburgh Pirates",
"Chicago White Sox",
"Houston Astros",
"Anaheim Angels",
"San Francisco Giants",
"Cleveland Indians",
"New York Mets",
"Seattle Mariners",
"Los Angeles Dodgers",
"New York Yankees",
"San Francisco Giants",
"Baltimore Orioles",
"Florida Marlins",
"Colorado Rockies",
"San Francisco Giants",
"Kansas City Royals"
] | what teams drafted those players? || what players are listed as part of the 1998 major league baseball draft? |
ns-258 | col : pick | player | team | position | school row 1 : 1 | pat burrell | philadelphia phillies | 1b | university of miami row 2 : 2 | mark mulder | oakland athletics | p | michigan state university row 3 : 3 | corey patterson | chicago cubs | of | harrison hs (kennesaw, ga) row 4 : 4 | jeff austin | kansas city royals | p | stanford university row 5 : 5 | j. d. drew | st. louis cardinals | of | florida state university row 6 : 6 | ryan mills | minnesota twins | p | arizona state university row 7 : 7 | austin kearns | cincinnati reds | of | lafayette hs (lexington, ky) row 8 : 8 | felipe lopez | toronto blue jays | 3b | lake brantley hs (altamonte springs, row 9 : 9 | sean burroughs | san diego padres | 3b | woodrow wilson classical hs (long beach, ca) row 10 : 10 | carlos pena | texas rangers | 1b | northeastern university row 11 : 11 | josh mckinley | montreal expos | ss | malvern prep (malvern, pa) row 12 : 12 | adam everett | boston red sox | ss | university of south carolina row 13 : 13 | j.m. gold | milwaukee brewers | p | toms river hs north (toms river, nj) row 14 : 14 | jeff weaver | detroit tigers | p | fresno state university row 15 : 15 | clint johnston | pittsburgh pirates | 1b | vanderbilt university row 16 : 16 | kip wells | chicago white sox | p | baylor university row 17 : 17 | brad lidge | houston astros | p | university of notre dame row 18 : 18 | seth etherton | anaheim angels | p | university of southern california row 19 : 19 | tony torcato | san francisco giants | of | woodland hs (woodland, ca) row 20 : 20 | cc sabathia | cleveland indians | p | vallejo hs (vallejo, ca) row 21 : 21 | jason tyner | new york mets | of | texas a&m university row 22 : 22 | matt thornton | seattle mariners | p | grand valley state university row 23 : 23 | bubba crosby | los angeles dodgers | of | rice university row 24 : 24 | andy brown | new york yankees | of | richmond hs (richmond, in) row 25 : 25 | nate bump | san francisco giants | p | penn state university row 26 : 26 | rick elder | baltimore orioles | of | sprayberry hs (sprayberry, ga) row 27 : 27 | chip ambres | florida marlins | of | west brook hs (beaumont, tx) row 28 : 28 | matt roney | colorado rockies | p | edmond north hs (edmond, ok) row 29 : 29 | arturo mcdowell | san francisco giants | of | forest hill community hs (west palm beach, fl) row 30 : 30 | matt burch | kansas city royals | p | virginia commonwealth university | table_csv/203_618.csv | 2 | {
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} | [
"what players are listed as part of the 1998 major league baseball draft?",
"what teams drafted those players?",
"which of those teams had only one listed draft pick?"
] | 1 | philadelphia phillies, oakland athletics, chicago cubs, st. louis cardinals, minnesota twins, cincinnati reds, toronto blue jays, san diego padres, texas rangers, montreal expos, boston red sox, milwaukee brewers, detroit tigers, pittsburgh pirates, chicago white sox, houston astros, anaheim angels, cleveland indians, new york mets, seattle mariners, los angeles dodgers, new york yankees, baltimore orioles, florida marlins, colorado rockies | [
"Pick",
"Player",
"Team",
"Position",
"School"
] | which of those teams had only one listed draft pick? | [
[
"1",
"Pat Burrell",
"Philadelphia Phillies",
"1B",
"University Of Miami"
],
[
"2",
"Mark Mulder",
"Oakland Athletics",
"P",
"Michigan State University"
],
[
"3",
"Corey Patterson",
"Chicago Cubs",
"OF",
"Harrison HS (Kennesaw, GA)"
],
[
"4",
"Jeff Austin",
"Kansas City Royals",
"P",
"Stanford University"
],
[
"5",
"J. D. Drew",
"St. Louis Cardinals",
"OF",
"Florida State University"
],
[
"6",
"Ryan Mills",
"Minnesota Twins",
"P",
"Arizona State University"
],
[
"7",
"Austin Kearns",
"Cincinnati Reds",
"OF",
"Lafayette HS (Lexington, KY)"
],
[
"8",
"Felipe Lopez",
"Toronto Blue Jays",
"3B",
"Lake Brantley HS (Altamonte Springs,"
],
[
"9",
"Sean Burroughs",
"San Diego Padres",
"3B",
"Woodrow Wilson Classical HS (Long Beach, CA)"
],
[
"10",
"Carlos Pena",
"Texas Rangers",
"1B",
"Northeastern University"
],
[
"11",
"Josh McKinley",
"Montreal Expos",
"SS",
"Malvern Prep (Malvern, PA)"
],
[
"12",
"Adam Everett",
"Boston Red Sox",
"SS",
"University of South Carolina"
],
[
"13",
"J.M. Gold",
"Milwaukee Brewers",
"P",
"Toms River HS North (Toms River, NJ)"
],
[
"14",
"Jeff Weaver",
"Detroit Tigers",
"P",
"Fresno State University"
],
[
"15",
"Clint Johnston",
"Pittsburgh Pirates",
"1B",
"Vanderbilt University"
],
[
"16",
"Kip Wells",
"Chicago White Sox",
"P",
"Baylor University"
],
[
"17",
"Brad Lidge",
"Houston Astros",
"P",
"University of Notre Dame"
],
[
"18",
"Seth Etherton",
"Anaheim Angels",
"P",
"University of Southern California"
],
[
"19",
"Tony Torcato",
"San Francisco Giants",
"OF",
"Woodland HS (Woodland, CA)"
],
[
"20",
"CC Sabathia",
"Cleveland Indians",
"P",
"Vallejo HS (Vallejo, CA)"
],
[
"21",
"Jason Tyner",
"New York Mets",
"OF",
"Texas A&M University"
],
[
"22",
"Matt Thornton",
"Seattle Mariners",
"P",
"Grand Valley State University"
],
[
"23",
"Bubba Crosby",
"Los Angeles Dodgers",
"OF",
"Rice University"
],
[
"24",
"Andy Brown",
"New York Yankees",
"OF",
"Richmond HS (Richmond, IN)"
],
[
"25",
"Nate Bump",
"San Francisco Giants",
"P",
"Penn State University"
],
[
"26",
"Rick Elder",
"Baltimore Orioles",
"OF",
"Sprayberry HS (Sprayberry, GA)"
],
[
"27",
"Chip Ambres",
"Florida Marlins",
"OF",
"West Brook HS (Beaumont, TX)"
],
[
"28",
"Matt Roney",
"Colorado Rockies",
"P",
"Edmond North HS (Edmond, OK)"
],
[
"29",
"Arturo McDowell",
"San Francisco Giants",
"OF",
"Forest Hill Community HS (West Palm Beach, FL)"
],
[
"30",
"Matt Burch",
"Kansas City Royals",
"P",
"Virginia Commonwealth University"
]
] | [
"Philadelphia Phillies",
"Oakland Athletics",
"Chicago Cubs",
"St. Louis Cardinals",
"Minnesota Twins",
"Cincinnati Reds",
"Toronto Blue Jays",
"San Diego Padres",
"Texas Rangers",
"Montreal Expos",
"Boston Red Sox",
"Milwaukee Brewers",
"Detroit Tigers",
"Pittsburgh Pirates",
"Chicago White Sox",
"Houston Astros",
"Anaheim Angels",
"Cleveland Indians",
"New York Mets",
"Seattle Mariners",
"Los Angeles Dodgers",
"New York Yankees",
"Baltimore Orioles",
"Florida Marlins",
"Colorado Rockies"
] | which of those teams had only one listed draft pick? || what teams drafted those players? | what players are listed as part of the 1998 major league baseball draft? |
ns-258 | col : pick | player | team | position | school row 1 : 1 | pat burrell | philadelphia phillies | 1b | university of miami row 2 : 2 | mark mulder | oakland athletics | p | michigan state university row 3 : 3 | corey patterson | chicago cubs | of | harrison hs (kennesaw, ga) row 4 : 4 | jeff austin | kansas city royals | p | stanford university row 5 : 5 | j. d. drew | st. louis cardinals | of | florida state university row 6 : 6 | ryan mills | minnesota twins | p | arizona state university row 7 : 7 | austin kearns | cincinnati reds | of | lafayette hs (lexington, ky) row 8 : 8 | felipe lopez | toronto blue jays | 3b | lake brantley hs (altamonte springs, row 9 : 9 | sean burroughs | san diego padres | 3b | woodrow wilson classical hs (long beach, ca) row 10 : 10 | carlos pena | texas rangers | 1b | northeastern university row 11 : 11 | josh mckinley | montreal expos | ss | malvern prep (malvern, pa) row 12 : 12 | adam everett | boston red sox | ss | university of south carolina row 13 : 13 | j.m. gold | milwaukee brewers | p | toms river hs north (toms river, nj) row 14 : 14 | jeff weaver | detroit tigers | p | fresno state university row 15 : 15 | clint johnston | pittsburgh pirates | 1b | vanderbilt university row 16 : 16 | kip wells | chicago white sox | p | baylor university row 17 : 17 | brad lidge | houston astros | p | university of notre dame row 18 : 18 | seth etherton | anaheim angels | p | university of southern california row 19 : 19 | tony torcato | san francisco giants | of | woodland hs (woodland, ca) row 20 : 20 | cc sabathia | cleveland indians | p | vallejo hs (vallejo, ca) row 21 : 21 | jason tyner | new york mets | of | texas a&m university row 22 : 22 | matt thornton | seattle mariners | p | grand valley state university row 23 : 23 | bubba crosby | los angeles dodgers | of | rice university row 24 : 24 | andy brown | new york yankees | of | richmond hs (richmond, in) row 25 : 25 | nate bump | san francisco giants | p | penn state university row 26 : 26 | rick elder | baltimore orioles | of | sprayberry hs (sprayberry, ga) row 27 : 27 | chip ambres | florida marlins | of | west brook hs (beaumont, tx) row 28 : 28 | matt roney | colorado rockies | p | edmond north hs (edmond, ok) row 29 : 29 | arturo mcdowell | san francisco giants | of | forest hill community hs (west palm beach, fl) row 30 : 30 | matt burch | kansas city royals | p | virginia commonwealth university | table_csv/203_618.csv | 3 | {
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"what players are listed as part of the 1998 major league baseball draft?",
"what teams drafted those players?",
"which of those teams had only one listed draft pick?",
"of those teams, who drafted sean burroughs?"
] | 1 | san diego padres | [
"Pick",
"Player",
"Team",
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"1",
"Pat Burrell",
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"University Of Miami"
],
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"Mark Mulder",
"Oakland Athletics",
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],
[
"7",
"Austin Kearns",
"Cincinnati Reds",
"OF",
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],
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"8",
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"3B",
"Lake Brantley HS (Altamonte Springs,"
],
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],
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"1B",
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],
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"11",
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"SS",
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],
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"SS",
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],
[
"13",
"J.M. Gold",
"Milwaukee Brewers",
"P",
"Toms River HS North (Toms River, NJ)"
],
[
"14",
"Jeff Weaver",
"Detroit Tigers",
"P",
"Fresno State University"
],
[
"15",
"Clint Johnston",
"Pittsburgh Pirates",
"1B",
"Vanderbilt University"
],
[
"16",
"Kip Wells",
"Chicago White Sox",
"P",
"Baylor University"
],
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"17",
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"P",
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],
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"P",
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],
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],
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"20",
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"Cleveland Indians",
"P",
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],
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"21",
"Jason Tyner",
"New York Mets",
"OF",
"Texas A&M University"
],
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"22",
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"Seattle Mariners",
"P",
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],
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"23",
"Bubba Crosby",
"Los Angeles Dodgers",
"OF",
"Rice University"
],
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"24",
"Andy Brown",
"New York Yankees",
"OF",
"Richmond HS (Richmond, IN)"
],
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"25",
"Nate Bump",
"San Francisco Giants",
"P",
"Penn State University"
],
[
"26",
"Rick Elder",
"Baltimore Orioles",
"OF",
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],
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"27",
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"Florida Marlins",
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],
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"28",
"Matt Roney",
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"P",
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],
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"OF",
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],
[
"30",
"Matt Burch",
"Kansas City Royals",
"P",
"Virginia Commonwealth University"
]
] | [
"San Diego Padres"
] | of those teams, who drafted sean burroughs? || which of those teams had only one listed draft pick? | what teams drafted those players? | what players are listed as part of the 1998 major league baseball draft? |
ns-258 | col : pick | player | team | position | school row 1 : 1 | pat burrell | philadelphia phillies | 1b | university of miami row 2 : 2 | mark mulder | oakland athletics | p | michigan state university row 3 : 3 | corey patterson | chicago cubs | of | harrison hs (kennesaw, ga) row 4 : 4 | jeff austin | kansas city royals | p | stanford university row 5 : 5 | j. d. drew | st. louis cardinals | of | florida state university row 6 : 6 | ryan mills | minnesota twins | p | arizona state university row 7 : 7 | austin kearns | cincinnati reds | of | lafayette hs (lexington, ky) row 8 : 8 | felipe lopez | toronto blue jays | 3b | lake brantley hs (altamonte springs, row 9 : 9 | sean burroughs | san diego padres | 3b | woodrow wilson classical hs (long beach, ca) row 10 : 10 | carlos pena | texas rangers | 1b | northeastern university row 11 : 11 | josh mckinley | montreal expos | ss | malvern prep (malvern, pa) row 12 : 12 | adam everett | boston red sox | ss | university of south carolina row 13 : 13 | j.m. gold | milwaukee brewers | p | toms river hs north (toms river, nj) row 14 : 14 | jeff weaver | detroit tigers | p | fresno state university row 15 : 15 | clint johnston | pittsburgh pirates | 1b | vanderbilt university row 16 : 16 | kip wells | chicago white sox | p | baylor university row 17 : 17 | brad lidge | houston astros | p | university of notre dame row 18 : 18 | seth etherton | anaheim angels | p | university of southern california row 19 : 19 | tony torcato | san francisco giants | of | woodland hs (woodland, ca) row 20 : 20 | cc sabathia | cleveland indians | p | vallejo hs (vallejo, ca) row 21 : 21 | jason tyner | new york mets | of | texas a&m university row 22 : 22 | matt thornton | seattle mariners | p | grand valley state university row 23 : 23 | bubba crosby | los angeles dodgers | of | rice university row 24 : 24 | andy brown | new york yankees | of | richmond hs (richmond, in) row 25 : 25 | nate bump | san francisco giants | p | penn state university row 26 : 26 | rick elder | baltimore orioles | of | sprayberry hs (sprayberry, ga) row 27 : 27 | chip ambres | florida marlins | of | west brook hs (beaumont, tx) row 28 : 28 | matt roney | colorado rockies | p | edmond north hs (edmond, ok) row 29 : 29 | arturo mcdowell | san francisco giants | of | forest hill community hs (west palm beach, fl) row 30 : 30 | matt burch | kansas city royals | p | virginia commonwealth university | table_csv/203_618.csv | 0 | {
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} | [
"what are all the player names?"
] | 2 | pat burrell, mark mulder, corey patterson, jeff austin, j. d. drew, ryan mills, austin kearns, felipe lopez, sean burroughs, carlos pena, josh mckinley, adam everett, j.m. gold, jeff weaver, clint johnston, kip wells, brad lidge, seth etherton, tony torcato, cc sabathia, jason tyner, matt thornton, bubba crosby, andy brown, nate bump, rick elder, chip ambres, matt roney, arturo mcdowell, matt burch | [
"Pick",
"Player",
"Team",
"Position",
"School"
] | what are all the player names? | [
[
"1",
"Pat Burrell",
"Philadelphia Phillies",
"1B",
"University Of Miami"
],
[
"2",
"Mark Mulder",
"Oakland Athletics",
"P",
"Michigan State University"
],
[
"3",
"Corey Patterson",
"Chicago Cubs",
"OF",
"Harrison HS (Kennesaw, GA)"
],
[
"4",
"Jeff Austin",
"Kansas City Royals",
"P",
"Stanford University"
],
[
"5",
"J. D. Drew",
"St. Louis Cardinals",
"OF",
"Florida State University"
],
[
"6",
"Ryan Mills",
"Minnesota Twins",
"P",
"Arizona State University"
],
[
"7",
"Austin Kearns",
"Cincinnati Reds",
"OF",
"Lafayette HS (Lexington, KY)"
],
[
"8",
"Felipe Lopez",
"Toronto Blue Jays",
"3B",
"Lake Brantley HS (Altamonte Springs,"
],
[
"9",
"Sean Burroughs",
"San Diego Padres",
"3B",
"Woodrow Wilson Classical HS (Long Beach, CA)"
],
[
"10",
"Carlos Pena",
"Texas Rangers",
"1B",
"Northeastern University"
],
[
"11",
"Josh McKinley",
"Montreal Expos",
"SS",
"Malvern Prep (Malvern, PA)"
],
[
"12",
"Adam Everett",
"Boston Red Sox",
"SS",
"University of South Carolina"
],
[
"13",
"J.M. Gold",
"Milwaukee Brewers",
"P",
"Toms River HS North (Toms River, NJ)"
],
[
"14",
"Jeff Weaver",
"Detroit Tigers",
"P",
"Fresno State University"
],
[
"15",
"Clint Johnston",
"Pittsburgh Pirates",
"1B",
"Vanderbilt University"
],
[
"16",
"Kip Wells",
"Chicago White Sox",
"P",
"Baylor University"
],
[
"17",
"Brad Lidge",
"Houston Astros",
"P",
"University of Notre Dame"
],
[
"18",
"Seth Etherton",
"Anaheim Angels",
"P",
"University of Southern California"
],
[
"19",
"Tony Torcato",
"San Francisco Giants",
"OF",
"Woodland HS (Woodland, CA)"
],
[
"20",
"CC Sabathia",
"Cleveland Indians",
"P",
"Vallejo HS (Vallejo, CA)"
],
[
"21",
"Jason Tyner",
"New York Mets",
"OF",
"Texas A&M University"
],
[
"22",
"Matt Thornton",
"Seattle Mariners",
"P",
"Grand Valley State University"
],
[
"23",
"Bubba Crosby",
"Los Angeles Dodgers",
"OF",
"Rice University"
],
[
"24",
"Andy Brown",
"New York Yankees",
"OF",
"Richmond HS (Richmond, IN)"
],
[
"25",
"Nate Bump",
"San Francisco Giants",
"P",
"Penn State University"
],
[
"26",
"Rick Elder",
"Baltimore Orioles",
"OF",
"Sprayberry HS (Sprayberry, GA)"
],
[
"27",
"Chip Ambres",
"Florida Marlins",
"OF",
"West Brook HS (Beaumont, TX)"
],
[
"28",
"Matt Roney",
"Colorado Rockies",
"P",
"Edmond North HS (Edmond, OK)"
],
[
"29",
"Arturo McDowell",
"San Francisco Giants",
"OF",
"Forest Hill Community HS (West Palm Beach, FL)"
],
[
"30",
"Matt Burch",
"Kansas City Royals",
"P",
"Virginia Commonwealth University"
]
] | [
"Pat Burrell",
"Mark Mulder",
"Corey Patterson",
"Jeff Austin",
"J. D. Drew",
"Ryan Mills",
"Austin Kearns",
"Felipe Lopez",
"Sean Burroughs",
"Carlos Pena",
"Josh McKinley",
"Adam Everett",
"J.M. Gold",
"Jeff Weaver",
"Clint Johnston",
"Kip Wells",
"Brad Lidge",
"Seth Etherton",
"Tony Torcato",
"CC Sabathia",
"Jason Tyner",
"Matt Thornton",
"Bubba Crosby",
"Andy Brown",
"Nate Bump",
"Rick Elder",
"Chip Ambres",
"Matt Roney",
"Arturo McDowell",
"Matt Burch"
] | what are all the player names? || |
ns-258 | col : pick | player | team | position | school row 1 : 1 | pat burrell | philadelphia phillies | 1b | university of miami row 2 : 2 | mark mulder | oakland athletics | p | michigan state university row 3 : 3 | corey patterson | chicago cubs | of | harrison hs (kennesaw, ga) row 4 : 4 | jeff austin | kansas city royals | p | stanford university row 5 : 5 | j. d. drew | st. louis cardinals | of | florida state university row 6 : 6 | ryan mills | minnesota twins | p | arizona state university row 7 : 7 | austin kearns | cincinnati reds | of | lafayette hs (lexington, ky) row 8 : 8 | felipe lopez | toronto blue jays | 3b | lake brantley hs (altamonte springs, row 9 : 9 | sean burroughs | san diego padres | 3b | woodrow wilson classical hs (long beach, ca) row 10 : 10 | carlos pena | texas rangers | 1b | northeastern university row 11 : 11 | josh mckinley | montreal expos | ss | malvern prep (malvern, pa) row 12 : 12 | adam everett | boston red sox | ss | university of south carolina row 13 : 13 | j.m. gold | milwaukee brewers | p | toms river hs north (toms river, nj) row 14 : 14 | jeff weaver | detroit tigers | p | fresno state university row 15 : 15 | clint johnston | pittsburgh pirates | 1b | vanderbilt university row 16 : 16 | kip wells | chicago white sox | p | baylor university row 17 : 17 | brad lidge | houston astros | p | university of notre dame row 18 : 18 | seth etherton | anaheim angels | p | university of southern california row 19 : 19 | tony torcato | san francisco giants | of | woodland hs (woodland, ca) row 20 : 20 | cc sabathia | cleveland indians | p | vallejo hs (vallejo, ca) row 21 : 21 | jason tyner | new york mets | of | texas a&m university row 22 : 22 | matt thornton | seattle mariners | p | grand valley state university row 23 : 23 | bubba crosby | los angeles dodgers | of | rice university row 24 : 24 | andy brown | new york yankees | of | richmond hs (richmond, in) row 25 : 25 | nate bump | san francisco giants | p | penn state university row 26 : 26 | rick elder | baltimore orioles | of | sprayberry hs (sprayberry, ga) row 27 : 27 | chip ambres | florida marlins | of | west brook hs (beaumont, tx) row 28 : 28 | matt roney | colorado rockies | p | edmond north hs (edmond, ok) row 29 : 29 | arturo mcdowell | san francisco giants | of | forest hill community hs (west palm beach, fl) row 30 : 30 | matt burch | kansas city royals | p | virginia commonwealth university | table_csv/203_618.csv | 1 | {
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} | [
"what are all the player names?",
"what team did they play for?"
] | 2 | philadelphia phillies, oakland athletics, chicago cubs, kansas city royals, st. louis cardinals, minnesota twins, cincinnati reds, toronto blue jays, san diego padres, texas rangers, montreal expos, boston red sox, milwaukee brewers, detroit tigers, pittsburgh pirates, chicago white sox, houston astros, anaheim angels, san francisco giants, cleveland indians, new york mets, seattle mariners, los angeles dodgers, new york yankees, san francisco giants, baltimore orioles, florida marlins, colorado rockies, san francisco giants, kansas city royals | [
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"School"
] | what team did they play for? | [
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"1",
"Pat Burrell",
"Philadelphia Phillies",
"1B",
"University Of Miami"
],
[
"2",
"Mark Mulder",
"Oakland Athletics",
"P",
"Michigan State University"
],
[
"3",
"Corey Patterson",
"Chicago Cubs",
"OF",
"Harrison HS (Kennesaw, GA)"
],
[
"4",
"Jeff Austin",
"Kansas City Royals",
"P",
"Stanford University"
],
[
"5",
"J. D. Drew",
"St. Louis Cardinals",
"OF",
"Florida State University"
],
[
"6",
"Ryan Mills",
"Minnesota Twins",
"P",
"Arizona State University"
],
[
"7",
"Austin Kearns",
"Cincinnati Reds",
"OF",
"Lafayette HS (Lexington, KY)"
],
[
"8",
"Felipe Lopez",
"Toronto Blue Jays",
"3B",
"Lake Brantley HS (Altamonte Springs,"
],
[
"9",
"Sean Burroughs",
"San Diego Padres",
"3B",
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],
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"SS",
"University of South Carolina"
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],
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"Jeff Weaver",
"Detroit Tigers",
"P",
"Fresno State University"
],
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"15",
"Clint Johnston",
"Pittsburgh Pirates",
"1B",
"Vanderbilt University"
],
[
"16",
"Kip Wells",
"Chicago White Sox",
"P",
"Baylor University"
],
[
"17",
"Brad Lidge",
"Houston Astros",
"P",
"University of Notre Dame"
],
[
"18",
"Seth Etherton",
"Anaheim Angels",
"P",
"University of Southern California"
],
[
"19",
"Tony Torcato",
"San Francisco Giants",
"OF",
"Woodland HS (Woodland, CA)"
],
[
"20",
"CC Sabathia",
"Cleveland Indians",
"P",
"Vallejo HS (Vallejo, CA)"
],
[
"21",
"Jason Tyner",
"New York Mets",
"OF",
"Texas A&M University"
],
[
"22",
"Matt Thornton",
"Seattle Mariners",
"P",
"Grand Valley State University"
],
[
"23",
"Bubba Crosby",
"Los Angeles Dodgers",
"OF",
"Rice University"
],
[
"24",
"Andy Brown",
"New York Yankees",
"OF",
"Richmond HS (Richmond, IN)"
],
[
"25",
"Nate Bump",
"San Francisco Giants",
"P",
"Penn State University"
],
[
"26",
"Rick Elder",
"Baltimore Orioles",
"OF",
"Sprayberry HS (Sprayberry, GA)"
],
[
"27",
"Chip Ambres",
"Florida Marlins",
"OF",
"West Brook HS (Beaumont, TX)"
],
[
"28",
"Matt Roney",
"Colorado Rockies",
"P",
"Edmond North HS (Edmond, OK)"
],
[
"29",
"Arturo McDowell",
"San Francisco Giants",
"OF",
"Forest Hill Community HS (West Palm Beach, FL)"
],
[
"30",
"Matt Burch",
"Kansas City Royals",
"P",
"Virginia Commonwealth University"
]
] | [
"Philadelphia Phillies",
"Oakland Athletics",
"Chicago Cubs",
"Kansas City Royals",
"St. Louis Cardinals",
"Minnesota Twins",
"Cincinnati Reds",
"Toronto Blue Jays",
"San Diego Padres",
"Texas Rangers",
"Montreal Expos",
"Boston Red Sox",
"Milwaukee Brewers",
"Detroit Tigers",
"Pittsburgh Pirates",
"Chicago White Sox",
"Houston Astros",
"Anaheim Angels",
"San Francisco Giants",
"Cleveland Indians",
"New York Mets",
"Seattle Mariners",
"Los Angeles Dodgers",
"New York Yankees",
"San Francisco Giants",
"Baltimore Orioles",
"Florida Marlins",
"Colorado Rockies",
"San Francisco Giants",
"Kansas City Royals"
] | what team did they play for? || what are all the player names? |
ns-258 | col : pick | player | team | position | school row 1 : 1 | pat burrell | philadelphia phillies | 1b | university of miami row 2 : 2 | mark mulder | oakland athletics | p | michigan state university row 3 : 3 | corey patterson | chicago cubs | of | harrison hs (kennesaw, ga) row 4 : 4 | jeff austin | kansas city royals | p | stanford university row 5 : 5 | j. d. drew | st. louis cardinals | of | florida state university row 6 : 6 | ryan mills | minnesota twins | p | arizona state university row 7 : 7 | austin kearns | cincinnati reds | of | lafayette hs (lexington, ky) row 8 : 8 | felipe lopez | toronto blue jays | 3b | lake brantley hs (altamonte springs, row 9 : 9 | sean burroughs | san diego padres | 3b | woodrow wilson classical hs (long beach, ca) row 10 : 10 | carlos pena | texas rangers | 1b | northeastern university row 11 : 11 | josh mckinley | montreal expos | ss | malvern prep (malvern, pa) row 12 : 12 | adam everett | boston red sox | ss | university of south carolina row 13 : 13 | j.m. gold | milwaukee brewers | p | toms river hs north (toms river, nj) row 14 : 14 | jeff weaver | detroit tigers | p | fresno state university row 15 : 15 | clint johnston | pittsburgh pirates | 1b | vanderbilt university row 16 : 16 | kip wells | chicago white sox | p | baylor university row 17 : 17 | brad lidge | houston astros | p | university of notre dame row 18 : 18 | seth etherton | anaheim angels | p | university of southern california row 19 : 19 | tony torcato | san francisco giants | of | woodland hs (woodland, ca) row 20 : 20 | cc sabathia | cleveland indians | p | vallejo hs (vallejo, ca) row 21 : 21 | jason tyner | new york mets | of | texas a&m university row 22 : 22 | matt thornton | seattle mariners | p | grand valley state university row 23 : 23 | bubba crosby | los angeles dodgers | of | rice university row 24 : 24 | andy brown | new york yankees | of | richmond hs (richmond, in) row 25 : 25 | nate bump | san francisco giants | p | penn state university row 26 : 26 | rick elder | baltimore orioles | of | sprayberry hs (sprayberry, ga) row 27 : 27 | chip ambres | florida marlins | of | west brook hs (beaumont, tx) row 28 : 28 | matt roney | colorado rockies | p | edmond north hs (edmond, ok) row 29 : 29 | arturo mcdowell | san francisco giants | of | forest hill community hs (west palm beach, fl) row 30 : 30 | matt burch | kansas city royals | p | virginia commonwealth university | table_csv/203_618.csv | 2 | {
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} | [
"what are all the player names?",
"what team did they play for?",
"and for which team did sean burroughs play?"
] | 2 | san diego padres | [
"Pick",
"Player",
"Team",
"Position",
"School"
] | and for which team did sean burroughs play? | [
[
"1",
"Pat Burrell",
"Philadelphia Phillies",
"1B",
"University Of Miami"
],
[
"2",
"Mark Mulder",
"Oakland Athletics",
"P",
"Michigan State University"
],
[
"3",
"Corey Patterson",
"Chicago Cubs",
"OF",
"Harrison HS (Kennesaw, GA)"
],
[
"4",
"Jeff Austin",
"Kansas City Royals",
"P",
"Stanford University"
],
[
"5",
"J. D. Drew",
"St. Louis Cardinals",
"OF",
"Florida State University"
],
[
"6",
"Ryan Mills",
"Minnesota Twins",
"P",
"Arizona State University"
],
[
"7",
"Austin Kearns",
"Cincinnati Reds",
"OF",
"Lafayette HS (Lexington, KY)"
],
[
"8",
"Felipe Lopez",
"Toronto Blue Jays",
"3B",
"Lake Brantley HS (Altamonte Springs,"
],
[
"9",
"Sean Burroughs",
"San Diego Padres",
"3B",
"Woodrow Wilson Classical HS (Long Beach, CA)"
],
[
"10",
"Carlos Pena",
"Texas Rangers",
"1B",
"Northeastern University"
],
[
"11",
"Josh McKinley",
"Montreal Expos",
"SS",
"Malvern Prep (Malvern, PA)"
],
[
"12",
"Adam Everett",
"Boston Red Sox",
"SS",
"University of South Carolina"
],
[
"13",
"J.M. Gold",
"Milwaukee Brewers",
"P",
"Toms River HS North (Toms River, NJ)"
],
[
"14",
"Jeff Weaver",
"Detroit Tigers",
"P",
"Fresno State University"
],
[
"15",
"Clint Johnston",
"Pittsburgh Pirates",
"1B",
"Vanderbilt University"
],
[
"16",
"Kip Wells",
"Chicago White Sox",
"P",
"Baylor University"
],
[
"17",
"Brad Lidge",
"Houston Astros",
"P",
"University of Notre Dame"
],
[
"18",
"Seth Etherton",
"Anaheim Angels",
"P",
"University of Southern California"
],
[
"19",
"Tony Torcato",
"San Francisco Giants",
"OF",
"Woodland HS (Woodland, CA)"
],
[
"20",
"CC Sabathia",
"Cleveland Indians",
"P",
"Vallejo HS (Vallejo, CA)"
],
[
"21",
"Jason Tyner",
"New York Mets",
"OF",
"Texas A&M University"
],
[
"22",
"Matt Thornton",
"Seattle Mariners",
"P",
"Grand Valley State University"
],
[
"23",
"Bubba Crosby",
"Los Angeles Dodgers",
"OF",
"Rice University"
],
[
"24",
"Andy Brown",
"New York Yankees",
"OF",
"Richmond HS (Richmond, IN)"
],
[
"25",
"Nate Bump",
"San Francisco Giants",
"P",
"Penn State University"
],
[
"26",
"Rick Elder",
"Baltimore Orioles",
"OF",
"Sprayberry HS (Sprayberry, GA)"
],
[
"27",
"Chip Ambres",
"Florida Marlins",
"OF",
"West Brook HS (Beaumont, TX)"
],
[
"28",
"Matt Roney",
"Colorado Rockies",
"P",
"Edmond North HS (Edmond, OK)"
],
[
"29",
"Arturo McDowell",
"San Francisco Giants",
"OF",
"Forest Hill Community HS (West Palm Beach, FL)"
],
[
"30",
"Matt Burch",
"Kansas City Royals",
"P",
"Virginia Commonwealth University"
]
] | [
"San Diego Padres"
] | and for which team did sean burroughs play? || what team did they play for? | what are all the player names? |
nt-8245 | col : district | area size (km2) | population | density per km2 row 1 : yamato flat inland plain | 837.27 | 1,282 | 1,531 row 2 : (share in %) | 22.7% | 89.7% | nan row 3 : yamato highland | 506.89 | 56 | 110 row 4 : (share in %) | 13.7% | 3.9% | nan row 5 : gojo, yoshino | 2,346.84 | 92 | 39 row 6 : (share in %) | 63.6% | 6.4% | nan row 7 : total prefecture | 3,691.09 | 1,430 | 387 row 8 : (share in %) | 100.0% | 100.0% | nan | table_csv/200_33.csv | 0 | {
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} | [
"what are the names of the districts?"
] | 0 | yamato flat inland plain, yamato highland, gojo, yoshino, total prefecture | [
"District",
"Area Size (km2)",
"Population",
"Density per km2"
] | what are the names of the districts? | [
[
"Yamato flat inland plain",
"837.27",
"1,282",
"1,531"
],
[
"(Share in %)",
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[
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"100.0%",
"nan"
]
] | [
"Yamato flat inland plain",
"Yamato highland",
"Gojo, Yoshino",
"Total Prefecture"
] | what are the names of the districts? || |
nt-8245 | col : district | area size (km2) | population | density per km2 row 1 : yamato flat inland plain | 837.27 | 1,282 | 1,531 row 2 : (share in %) | 22.7% | 89.7% | nan row 3 : yamato highland | 506.89 | 56 | 110 row 4 : (share in %) | 13.7% | 3.9% | nan row 5 : gojo, yoshino | 2,346.84 | 92 | 39 row 6 : (share in %) | 63.6% | 6.4% | nan row 7 : total prefecture | 3,691.09 | 1,430 | 387 row 8 : (share in %) | 100.0% | 100.0% | nan | table_csv/200_33.csv | 1 | {
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2
],
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0
]
} | [
"what are the names of the districts?",
"what population number does yamato flat inland plain have?"
] | 0 | 1,282 | [
"District",
"Area Size (km2)",
"Population",
"Density per km2"
] | what population number does yamato flat inland plain have? | [
[
"Yamato flat inland plain",
"837.27",
"1,282",
"1,531"
],
[
"(Share in %)",
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[
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"100.0%",
"nan"
]
] | [
"1,282"
] | what population number does yamato flat inland plain have? || what are the names of the districts? |
nt-8245 | col : district | area size (km2) | population | density per km2 row 1 : yamato flat inland plain | 837.27 | 1,282 | 1,531 row 2 : (share in %) | 22.7% | 89.7% | nan row 3 : yamato highland | 506.89 | 56 | 110 row 4 : (share in %) | 13.7% | 3.9% | nan row 5 : gojo, yoshino | 2,346.84 | 92 | 39 row 6 : (share in %) | 63.6% | 6.4% | nan row 7 : total prefecture | 3,691.09 | 1,430 | 387 row 8 : (share in %) | 100.0% | 100.0% | nan | table_csv/200_33.csv | 0 | {
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} | [
"what are the sections shown of the nara prefecture?"
] | 1 | yamato flat inland plain, yamato highland, gojo, yoshino | [
"District",
"Area Size (km2)",
"Population",
"Density per km2"
] | what are the sections shown of the nara prefecture? | [
[
"Yamato flat inland plain",
"837.27",
"1,282",
"1,531"
],
[
"(Share in %)",
"22.7%",
"89.7%",
"nan"
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[
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"506.89",
"56",
"110"
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[
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[
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"92",
"39"
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[
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],
[
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"3,691.09",
"1,430",
"387"
],
[
"(Share in %)",
"100.0%",
"100.0%",
"nan"
]
] | [
"Yamato flat inland plain",
"Yamato highland",
"Gojo, Yoshino"
] | what are the sections shown of the nara prefecture? || |
nt-8245 | col : district | area size (km2) | population | density per km2 row 1 : yamato flat inland plain | 837.27 | 1,282 | 1,531 row 2 : (share in %) | 22.7% | 89.7% | nan row 3 : yamato highland | 506.89 | 56 | 110 row 4 : (share in %) | 13.7% | 3.9% | nan row 5 : gojo, yoshino | 2,346.84 | 92 | 39 row 6 : (share in %) | 63.6% | 6.4% | nan row 7 : total prefecture | 3,691.09 | 1,430 | 387 row 8 : (share in %) | 100.0% | 100.0% | nan | table_csv/200_33.csv | 1 | {
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} | [
"what are the sections shown of the nara prefecture?",
"what is the population of those areas?"
] | 1 | yamato flat inland plain, 1,282, yamato highland, 56, gojo, yoshino, 92 | [
"District",
"Area Size (km2)",
"Population",
"Density per km2"
] | what is the population of those areas? | [
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"Yamato flat inland plain",
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"1,531"
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[
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],
[
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"nan"
]
] | [
"Yamato flat inland plain",
"1,282",
"Yamato highland",
"56",
"Gojo, Yoshino",
"92"
] | what is the population of those areas? || what are the sections shown of the nara prefecture? |
nt-8245 | col : district | area size (km2) | population | density per km2 row 1 : yamato flat inland plain | 837.27 | 1,282 | 1,531 row 2 : (share in %) | 22.7% | 89.7% | nan row 3 : yamato highland | 506.89 | 56 | 110 row 4 : (share in %) | 13.7% | 3.9% | nan row 5 : gojo, yoshino | 2,346.84 | 92 | 39 row 6 : (share in %) | 63.6% | 6.4% | nan row 7 : total prefecture | 3,691.09 | 1,430 | 387 row 8 : (share in %) | 100.0% | 100.0% | nan | table_csv/200_33.csv | 2 | {
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} | [
"what are the sections shown of the nara prefecture?",
"what is the population of those areas?",
"which of those populations corresponds to the yamato flat inland plain?"
] | 1 | 1,282 | [
"District",
"Area Size (km2)",
"Population",
"Density per km2"
] | which of those populations corresponds to the yamato flat inland plain? | [
[
"Yamato flat inland plain",
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[
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[
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"100.0%",
"nan"
]
] | [
"1,282"
] | which of those populations corresponds to the yamato flat inland plain? || what is the population of those areas? | what are the sections shown of the nara prefecture? |
nt-8245 | col : district | area size (km2) | population | density per km2 row 1 : yamato flat inland plain | 837.27 | 1,282 | 1,531 row 2 : (share in %) | 22.7% | 89.7% | nan row 3 : yamato highland | 506.89 | 56 | 110 row 4 : (share in %) | 13.7% | 3.9% | nan row 5 : gojo, yoshino | 2,346.84 | 92 | 39 row 6 : (share in %) | 63.6% | 6.4% | nan row 7 : total prefecture | 3,691.09 | 1,430 | 387 row 8 : (share in %) | 100.0% | 100.0% | nan | table_csv/200_33.csv | 0 | {
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} | [
"what are all of the districts?"
] | 2 | yamato flat inland plain, (share in %), yamato highland, (share in %), gojo, yoshino, (share in %), total prefecture | [
"District",
"Area Size (km2)",
"Population",
"Density per km2"
] | what are all of the districts? | [
[
"Yamato flat inland plain",
"837.27",
"1,282",
"1,531"
],
[
"(Share in %)",
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[
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] | [
"Yamato flat inland plain",
"(Share in %)",
"Yamato highland",
"(Share in %)",
"Gojo, Yoshino",
"(Share in %)",
"Total Prefecture"
] | what are all of the districts? || |
nt-8245 | col : district | area size (km2) | population | density per km2 row 1 : yamato flat inland plain | 837.27 | 1,282 | 1,531 row 2 : (share in %) | 22.7% | 89.7% | nan row 3 : yamato highland | 506.89 | 56 | 110 row 4 : (share in %) | 13.7% | 3.9% | nan row 5 : gojo, yoshino | 2,346.84 | 92 | 39 row 6 : (share in %) | 63.6% | 6.4% | nan row 7 : total prefecture | 3,691.09 | 1,430 | 387 row 8 : (share in %) | 100.0% | 100.0% | nan | table_csv/200_33.csv | 1 | {
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} | [
"what are all of the districts?",
"what is the population of each district?"
] | 2 | 1,282, 89.7%, 56, 3.9%, 92, 6.4%, 1,430 | [
"District",
"Area Size (km2)",
"Population",
"Density per km2"
] | what is the population of each district? | [
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] | [
"1,282",
"89.7%",
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"3.9%",
"92",
"6.4%",
"1,430"
] | what is the population of each district? || what are all of the districts? |
nt-8245 | col : district | area size (km2) | population | density per km2 row 1 : yamato flat inland plain | 837.27 | 1,282 | 1,531 row 2 : (share in %) | 22.7% | 89.7% | nan row 3 : yamato highland | 506.89 | 56 | 110 row 4 : (share in %) | 13.7% | 3.9% | nan row 5 : gojo, yoshino | 2,346.84 | 92 | 39 row 6 : (share in %) | 63.6% | 6.4% | nan row 7 : total prefecture | 3,691.09 | 1,430 | 387 row 8 : (share in %) | 100.0% | 100.0% | nan | table_csv/200_33.csv | 2 | {
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} | [
"what are all of the districts?",
"what is the population of each district?",
"what about just in the yamato flat inland plain?"
] | 2 | 1,282 | [
"District",
"Area Size (km2)",
"Population",
"Density per km2"
] | what about just in the yamato flat inland plain? | [
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[
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"nan"
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] | [
"1,282"
] | what about just in the yamato flat inland plain? || what is the population of each district? | what are all of the districts? |
nt-8242 | col : date | name | nationality | tonnage (grt) | fate row 1 : 18 january 1940 | flandria | sweden | 1,179 | sunk row 2 : 19 january 1940 | patria | sweden | 1,188 | sunk row 3 : 11 february 1940 | linda | estonia | 1,213 | sunk row 4 : 4 may 1940 | san tiburcio | united kingdom | 5,995 | sunk (mine) row 5 : 9 may 1940 | doris | french navy | 552 | sunk row 6 : 11 may 1940 | tringa | united kingdom | 1,930 | sunk row 7 : 11 may 1940 | viiu | estonia | 1,908 | sunk row 8 : 23 may 1940 | sigurd faulbaum | belgium | 3,256 | sunk row 9 : 11 may 1944 | shtorm | soviet union | 412 | damaged | table_csv/203_148.csv | 0 | {
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8
]
} | [
"what are all the submarines?"
] | 0 | flandria, patria, linda, san tiburcio, doris, tringa, viiu, sigurd faulbaum, shtorm | [
"Date",
"Name",
"Nationality",
"Tonnage (GRT)",
"Fate"
] | what are all the submarines? | [
[
"18 January 1940",
"Flandria",
"Sweden",
"1,179",
"Sunk"
],
[
"19 January 1940",
"Patria",
"Sweden",
"1,188",
"Sunk"
],
[
"11 February 1940",
"Linda",
"Estonia",
"1,213",
"Sunk"
],
[
"4 May 1940",
"San Tiburcio",
"United Kingdom",
"5,995",
"Sunk (mine)"
],
[
"9 May 1940",
"Doris",
"French Navy",
"552",
"Sunk"
],
[
"11 May 1940",
"Tringa",
"United Kingdom",
"1,930",
"Sunk"
],
[
"11 May 1940",
"Viiu",
"Estonia",
"1,908",
"Sunk"
],
[
"23 May 1940",
"Sigurd Faulbaum",
"Belgium",
"3,256",
"Sunk"
],
[
"11 May 1944",
"Shtorm",
"Soviet Union",
"412",
"Damaged"
]
] | [
"Flandria",
"Patria",
"Linda",
"San Tiburcio",
"Doris",
"Tringa",
"Viiu",
"Sigurd Faulbaum",
"Shtorm"
] | what are all the submarines? || |
nt-8242 | col : date | name | nationality | tonnage (grt) | fate row 1 : 18 january 1940 | flandria | sweden | 1,179 | sunk row 2 : 19 january 1940 | patria | sweden | 1,188 | sunk row 3 : 11 february 1940 | linda | estonia | 1,213 | sunk row 4 : 4 may 1940 | san tiburcio | united kingdom | 5,995 | sunk (mine) row 5 : 9 may 1940 | doris | french navy | 552 | sunk row 6 : 11 may 1940 | tringa | united kingdom | 1,930 | sunk row 7 : 11 may 1940 | viiu | estonia | 1,908 | sunk row 8 : 23 may 1940 | sigurd faulbaum | belgium | 3,256 | sunk row 9 : 11 may 1944 | shtorm | soviet union | 412 | damaged | table_csv/203_148.csv | 1 | {
"column_index": [
2,
2,
2,
2,
2,
2,
2,
2,
2
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8
]
} | [
"what are all the submarines?",
"what are the nationalities of these submarines?"
] | 0 | sweden, sweden, estonia, united kingdom, french navy, united kingdom, estonia, belgium, soviet union | [
"Date",
"Name",
"Nationality",
"Tonnage (GRT)",
"Fate"
] | what are the nationalities of these submarines? | [
[
"18 January 1940",
"Flandria",
"Sweden",
"1,179",
"Sunk"
],
[
"19 January 1940",
"Patria",
"Sweden",
"1,188",
"Sunk"
],
[
"11 February 1940",
"Linda",
"Estonia",
"1,213",
"Sunk"
],
[
"4 May 1940",
"San Tiburcio",
"United Kingdom",
"5,995",
"Sunk (mine)"
],
[
"9 May 1940",
"Doris",
"French Navy",
"552",
"Sunk"
],
[
"11 May 1940",
"Tringa",
"United Kingdom",
"1,930",
"Sunk"
],
[
"11 May 1940",
"Viiu",
"Estonia",
"1,908",
"Sunk"
],
[
"23 May 1940",
"Sigurd Faulbaum",
"Belgium",
"3,256",
"Sunk"
],
[
"11 May 1944",
"Shtorm",
"Soviet Union",
"412",
"Damaged"
]
] | [
"Sweden",
"Sweden",
"Estonia",
"United Kingdom",
"French Navy",
"United Kingdom",
"Estonia",
"Belgium",
"Soviet Union"
] | what are the nationalities of these submarines? || what are all the submarines? |
nt-8242 | col : date | name | nationality | tonnage (grt) | fate row 1 : 18 january 1940 | flandria | sweden | 1,179 | sunk row 2 : 19 january 1940 | patria | sweden | 1,188 | sunk row 3 : 11 february 1940 | linda | estonia | 1,213 | sunk row 4 : 4 may 1940 | san tiburcio | united kingdom | 5,995 | sunk (mine) row 5 : 9 may 1940 | doris | french navy | 552 | sunk row 6 : 11 may 1940 | tringa | united kingdom | 1,930 | sunk row 7 : 11 may 1940 | viiu | estonia | 1,908 | sunk row 8 : 23 may 1940 | sigurd faulbaum | belgium | 3,256 | sunk row 9 : 11 may 1944 | shtorm | soviet union | 412 | damaged | table_csv/203_148.csv | 2 | {
"column_index": [
1,
1
],
"row_index": [
3,
5
]
} | [
"what are all the submarines?",
"what are the nationalities of these submarines?",
"which are the two submarines that are from the united kingdom?"
] | 0 | san tiburcio, tringa | [
"Date",
"Name",
"Nationality",
"Tonnage (GRT)",
"Fate"
] | which are the two submarines that are from the united kingdom? | [
[
"18 January 1940",
"Flandria",
"Sweden",
"1,179",
"Sunk"
],
[
"19 January 1940",
"Patria",
"Sweden",
"1,188",
"Sunk"
],
[
"11 February 1940",
"Linda",
"Estonia",
"1,213",
"Sunk"
],
[
"4 May 1940",
"San Tiburcio",
"United Kingdom",
"5,995",
"Sunk (mine)"
],
[
"9 May 1940",
"Doris",
"French Navy",
"552",
"Sunk"
],
[
"11 May 1940",
"Tringa",
"United Kingdom",
"1,930",
"Sunk"
],
[
"11 May 1940",
"Viiu",
"Estonia",
"1,908",
"Sunk"
],
[
"23 May 1940",
"Sigurd Faulbaum",
"Belgium",
"3,256",
"Sunk"
],
[
"11 May 1944",
"Shtorm",
"Soviet Union",
"412",
"Damaged"
]
] | [
"San Tiburcio",
"Tringa"
] | which are the two submarines that are from the united kingdom? || what are the nationalities of these submarines? | what are all the submarines? |
nt-8242 | col : date | name | nationality | tonnage (grt) | fate row 1 : 18 january 1940 | flandria | sweden | 1,179 | sunk row 2 : 19 january 1940 | patria | sweden | 1,188 | sunk row 3 : 11 february 1940 | linda | estonia | 1,213 | sunk row 4 : 4 may 1940 | san tiburcio | united kingdom | 5,995 | sunk (mine) row 5 : 9 may 1940 | doris | french navy | 552 | sunk row 6 : 11 may 1940 | tringa | united kingdom | 1,930 | sunk row 7 : 11 may 1940 | viiu | estonia | 1,908 | sunk row 8 : 23 may 1940 | sigurd faulbaum | belgium | 3,256 | sunk row 9 : 11 may 1944 | shtorm | soviet union | 412 | damaged | table_csv/203_148.csv | 3 | {
"column_index": [
3,
3
],
"row_index": [
3,
5
]
} | [
"what are all the submarines?",
"what are the nationalities of these submarines?",
"which are the two submarines that are from the united kingdom?",
"what are the tonnages of these two submarines?"
] | 0 | 5,995, 1,930 | [
"Date",
"Name",
"Nationality",
"Tonnage (GRT)",
"Fate"
] | what are the tonnages of these two submarines? | [
[
"18 January 1940",
"Flandria",
"Sweden",
"1,179",
"Sunk"
],
[
"19 January 1940",
"Patria",
"Sweden",
"1,188",
"Sunk"
],
[
"11 February 1940",
"Linda",
"Estonia",
"1,213",
"Sunk"
],
[
"4 May 1940",
"San Tiburcio",
"United Kingdom",
"5,995",
"Sunk (mine)"
],
[
"9 May 1940",
"Doris",
"French Navy",
"552",
"Sunk"
],
[
"11 May 1940",
"Tringa",
"United Kingdom",
"1,930",
"Sunk"
],
[
"11 May 1940",
"Viiu",
"Estonia",
"1,908",
"Sunk"
],
[
"23 May 1940",
"Sigurd Faulbaum",
"Belgium",
"3,256",
"Sunk"
],
[
"11 May 1944",
"Shtorm",
"Soviet Union",
"412",
"Damaged"
]
] | [
"5,995",
"1,930"
] | what are the tonnages of these two submarines? || which are the two submarines that are from the united kingdom? | what are the nationalities of these submarines? | what are all the submarines? |
nt-8242 | col : date | name | nationality | tonnage (grt) | fate row 1 : 18 january 1940 | flandria | sweden | 1,179 | sunk row 2 : 19 january 1940 | patria | sweden | 1,188 | sunk row 3 : 11 february 1940 | linda | estonia | 1,213 | sunk row 4 : 4 may 1940 | san tiburcio | united kingdom | 5,995 | sunk (mine) row 5 : 9 may 1940 | doris | french navy | 552 | sunk row 6 : 11 may 1940 | tringa | united kingdom | 1,930 | sunk row 7 : 11 may 1940 | viiu | estonia | 1,908 | sunk row 8 : 23 may 1940 | sigurd faulbaum | belgium | 3,256 | sunk row 9 : 11 may 1944 | shtorm | soviet union | 412 | damaged | table_csv/203_148.csv | 4 | {
"column_index": [
3
],
"row_index": [
5
]
} | [
"what are all the submarines?",
"what are the nationalities of these submarines?",
"which are the two submarines that are from the united kingdom?",
"what are the tonnages of these two submarines?",
"which of these tonnages is almost 2000?"
] | 0 | 1,930 | [
"Date",
"Name",
"Nationality",
"Tonnage (GRT)",
"Fate"
] | which of these tonnages is almost 2000? | [
[
"18 January 1940",
"Flandria",
"Sweden",
"1,179",
"Sunk"
],
[
"19 January 1940",
"Patria",
"Sweden",
"1,188",
"Sunk"
],
[
"11 February 1940",
"Linda",
"Estonia",
"1,213",
"Sunk"
],
[
"4 May 1940",
"San Tiburcio",
"United Kingdom",
"5,995",
"Sunk (mine)"
],
[
"9 May 1940",
"Doris",
"French Navy",
"552",
"Sunk"
],
[
"11 May 1940",
"Tringa",
"United Kingdom",
"1,930",
"Sunk"
],
[
"11 May 1940",
"Viiu",
"Estonia",
"1,908",
"Sunk"
],
[
"23 May 1940",
"Sigurd Faulbaum",
"Belgium",
"3,256",
"Sunk"
],
[
"11 May 1944",
"Shtorm",
"Soviet Union",
"412",
"Damaged"
]
] | [
"1,930"
] | which of these tonnages is almost 2000? || what are the tonnages of these two submarines? | which are the two submarines that are from the united kingdom? | what are the nationalities of these submarines? | what are all the submarines? |
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