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565
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
ns-1978
|
col : rank | player | county | tally | total | opposition row 1 : 1 | nicky english | tipperary | 2-12 | 18 | antrim row 2 : 2 | mark corrigan | offaly | 3-7 | 16 | kilkenny row 3 : 3 | joe hennessy | kerry | 3-5 | 14 | limerick row 4 : 3 | finbarr delaney | cork | 1-11 | 14 | waterford row 5 : 5 | nicky english | tipperary | 0-13 | 13 | waterford row 6 : 5 | adrian ronan | kilkenny | 1-10 | 13 | westmeath row 7 : 7 | nicky english | tipperary | 2-5 | 11 | limerick row 8 : 7 | danny mcnaughton | antrim | 2-5 | 11 | down row 9 : 9 | m. j. ryan | dublin | 1-7 | 10 | laois row 10 : 10 | gary kirby | limerick | 1-6 | 9 | kerry row 11 : 10 | pat murphy | waterford | 3-0 | 9 | cork
|
table_csv/204_952.csv
| 1 |
{
"column_index": [
1
],
"row_index": [
8
]
}
|
[
"how many players came from dublin county?",
"what is his name?"
] | 2 |
m. j. ryan
|
[
"Rank",
"Player",
"County",
"Tally",
"Total",
"Opposition"
] |
what is his name?
|
[
[
"1",
"Nicky English",
"Tipperary",
"2-12",
"18",
"Antrim"
],
[
"2",
"Mark Corrigan",
"Offaly",
"3-7",
"16",
"Kilkenny"
],
[
"3",
"Joe Hennessy",
"Kerry",
"3-5",
"14",
"Limerick"
],
[
"3",
"Finbarr Delaney",
"Cork",
"1-11",
"14",
"Waterford"
],
[
"5",
"Nicky English",
"Tipperary",
"0-13",
"13",
"Waterford"
],
[
"5",
"Adrian Ronan",
"Kilkenny",
"1-10",
"13",
"Westmeath"
],
[
"7",
"Nicky English",
"Tipperary",
"2-5",
"11",
"Limerick"
],
[
"7",
"Danny McNaughton",
"Antrim",
"2-5",
"11",
"Down"
],
[
"9",
"M. J. Ryan",
"Dublin",
"1-7",
"10",
"Laois"
],
[
"10",
"Gary Kirby",
"Limerick",
"1-6",
"9",
"Kerry"
],
[
"10",
"Pat Murphy",
"Waterford",
"3-0",
"9",
"Cork"
]
] |
[
"M. J. Ryan"
] |
what is his name? || how many players came from dublin county?
|
nt-6430
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
|
table_csv/204_107.csv
| 0 |
{
"column_index": [
5
],
"row_index": [
3
]
}
|
[
"how many total medals did spain win?"
] | 0 |
15
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
how many total medals did spain win?
|
[
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
] |
[
"15"
] |
how many total medals did spain win? ||
|
nt-6430
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
|
table_csv/204_107.csv
| 1 |
{
"column_index": [
5
],
"row_index": [
2
]
}
|
[
"how many total medals did spain win?",
"how many medals did the next highest nation win?"
] | 0 |
9
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
how many medals did the next highest nation win?
|
[
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
] |
[
"9"
] |
how many medals did the next highest nation win? || how many total medals did spain win?
|
nt-6430
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
|
table_csv/204_107.csv
| 2 |
{
"column_index": [
1
],
"row_index": [
2
]
}
|
[
"how many total medals did spain win?",
"how many medals did the next highest nation win?",
"what country was that?"
] | 0 |
belgium
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
what country was that?
|
[
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
] |
[
"Belgium"
] |
what country was that? || how many medals did the next highest nation win? | how many total medals did spain win?
|
nt-6430
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
|
table_csv/204_107.csv
| 0 |
{
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1,
1,
1,
1,
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1,
1,
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],
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1,
2,
3,
4,
5,
6,
7,
8,
9
]
}
|
[
"what countries competed?"
] | 1 |
netherlands, italy, belgium, spain, great britain, germany, greece, russia, sweden, france
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
what countries competed?
|
[
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
] |
[
"Netherlands",
"Italy",
"Belgium",
"Spain",
"Great Britain",
"Germany",
"Greece",
"Russia",
"Sweden",
"France"
] |
what countries competed? ||
|
nt-6430
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
|
table_csv/204_107.csv
| 1 |
{
"column_index": [
1,
5,
1,
5,
1,
5,
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8,
8,
9,
9
]
}
|
[
"what countries competed?",
"how many medals did each earn?"
] | 1 |
netherlands, 29, italy, 28, belgium, 9, spain, 15, great britain, 2, germany, 8, greece, 1, russia, 1, sweden, 2, france, 1
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
how many medals did each earn?
|
[
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
] |
[
"Netherlands",
"29",
"Italy",
"28",
"Belgium",
"9",
"Spain",
"15",
"Great Britain",
"2",
"Germany",
"8",
"Greece",
"1",
"Russia",
"1",
"Sweden",
"2",
"France",
"1"
] |
how many medals did each earn? || what countries competed?
|
nt-6430
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
|
table_csv/204_107.csv
| 2 |
{
"column_index": [
1
],
"row_index": [
2
]
}
|
[
"what countries competed?",
"how many medals did each earn?",
"who was after span with 15?"
] | 1 |
belgium
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
who was after span with 15?
|
[
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
] |
[
"Belgium"
] |
who was after span with 15? || how many medals did each earn? | what countries competed?
|
nt-6430
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
|
table_csv/204_107.csv
| 0 |
{
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9
]
}
|
[
"which nations played?"
] | 2 |
netherlands, italy, belgium, spain, great britain, germany, greece, russia, sweden, france
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
which nations played?
|
[
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
] |
[
"Netherlands",
"Italy",
"Belgium",
"Spain",
"Great Britain",
"Germany",
"Greece",
"Russia",
"Sweden",
"France"
] |
which nations played? ||
|
nt-6430
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
|
table_csv/204_107.csv
| 1 |
{
"column_index": [
5,
5,
5,
5,
5,
5,
5,
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5,
5
],
"row_index": [
0,
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2,
3,
4,
5,
6,
7,
8,
9
]
}
|
[
"which nations played?",
"how many medals did they win?"
] | 2 |
29, 28, 9, 15, 2, 8, 1, 1, 2, 1
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
how many medals did they win?
|
[
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
] |
[
"29",
"28",
"9",
"15",
"2",
"8",
"1",
"1",
"2",
"1"
] |
how many medals did they win? || which nations played?
|
nt-6430
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
|
table_csv/204_107.csv
| 2 |
{
"column_index": [
1
],
"row_index": [
2
]
}
|
[
"which nations played?",
"how many medals did they win?",
"which country was slightly behind spain in medals won?"
] | 2 |
belgium
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
which country was slightly behind spain in medals won?
|
[
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
] |
[
"Belgium"
] |
which country was slightly behind spain in medals won? || how many medals did they win? | which nations played?
|
ns-2613
|
col : rank | name | nationality | time | notes row 1 : nan | alberto garcia | spain | 7:43.89 | cr row 2 : nan | antonio david jimenez | spain | 7:46.49 | pb row 3 : nan | jesus espana | spain | 7:48.08 | pb row 4 : nan | john mayock | great britain | 7:48.08 | nan row 5 : 5.0 | michael buchleitner | austria | 7:54.39 | sb row 6 : 6.0 | mohammed mourhit | belgium | 7:59.79 | nan row 7 : 7.0 | sergey ivanov | russia | 8:02.98 | nan row 8 : 8.0 | mindaugas pukstas | lithuania | 8:03.21 | pb row 9 : 9.0 | irba lakhal | france | 8:03.38 | nan row 10 : 10.0 | joakim johansson | denmark | 8:06.47 | nan row 11 : 11.0 | harald steindorfer | austria | 8:09.21 | nan row 12 : 12.0 | ferdinando vicari | italy | 8:17.46 | nan row 13 : 13.0 | martin steinbauer | austria | 8:22.06 | nan row 14 : 14.0 | christos papapetrou | cyprus | 8:30.59 | nan
|
table_csv/204_893.csv
| 0 |
{
"column_index": [
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3
]
}
|
[
"who were the third place champions of the men's 3000 meteres event?"
] | 0 |
alberto garcia, antonio david jimenez, jesus espana, john mayock
|
[
"Rank",
"Name",
"Nationality",
"Time",
"Notes"
] |
who were the third place champions of the men's 3000 meteres event?
|
[
[
"nan",
"Alberto Garcia",
"Spain",
"7:43.89",
"CR"
],
[
"nan",
"Antonio David Jimenez",
"Spain",
"7:46.49",
"PB"
],
[
"nan",
"Jesus Espana",
"Spain",
"7:48.08",
"PB"
],
[
"nan",
"John Mayock",
"Great Britain",
"7:48.08",
"nan"
],
[
"5.0",
"Michael Buchleitner",
"Austria",
"7:54.39",
"SB"
],
[
"6.0",
"Mohammed Mourhit",
"Belgium",
"7:59.79",
"nan"
],
[
"7.0",
"Sergey Ivanov",
"Russia",
"8:02.98",
"nan"
],
[
"8.0",
"Mindaugas Pukstas",
"Lithuania",
"8:03.21",
"PB"
],
[
"9.0",
"Irba Lakhal",
"France",
"8:03.38",
"nan"
],
[
"10.0",
"Joakim Johansson",
"Denmark",
"8:06.47",
"nan"
],
[
"11.0",
"Harald Steindorfer",
"Austria",
"8:09.21",
"nan"
],
[
"12.0",
"Ferdinando Vicari",
"Italy",
"8:17.46",
"nan"
],
[
"13.0",
"Martin Steinbauer",
"Austria",
"8:22.06",
"nan"
],
[
"14.0",
"Christos Papapetrou",
"Cyprus",
"8:30.59",
"nan"
]
] |
[
"Alberto Garcia",
"Antonio David Jimenez",
"Jesus Espana",
"John Mayock"
] |
who were the third place champions of the men's 3000 meteres event? ||
|
ns-2613
|
col : rank | name | nationality | time | notes row 1 : nan | alberto garcia | spain | 7:43.89 | cr row 2 : nan | antonio david jimenez | spain | 7:46.49 | pb row 3 : nan | jesus espana | spain | 7:48.08 | pb row 4 : nan | john mayock | great britain | 7:48.08 | nan row 5 : 5.0 | michael buchleitner | austria | 7:54.39 | sb row 6 : 6.0 | mohammed mourhit | belgium | 7:59.79 | nan row 7 : 7.0 | sergey ivanov | russia | 8:02.98 | nan row 8 : 8.0 | mindaugas pukstas | lithuania | 8:03.21 | pb row 9 : 9.0 | irba lakhal | france | 8:03.38 | nan row 10 : 10.0 | joakim johansson | denmark | 8:06.47 | nan row 11 : 11.0 | harald steindorfer | austria | 8:09.21 | nan row 12 : 12.0 | ferdinando vicari | italy | 8:17.46 | nan row 13 : 13.0 | martin steinbauer | austria | 8:22.06 | nan row 14 : 14.0 | christos papapetrou | cyprus | 8:30.59 | nan
|
table_csv/204_893.csv
| 1 |
{
"column_index": [
1
],
"row_index": [
3
]
}
|
[
"who were the third place champions of the men's 3000 meteres event?",
"which one was not from spain?"
] | 0 |
john mayock
|
[
"Rank",
"Name",
"Nationality",
"Time",
"Notes"
] |
which one was not from spain?
|
[
[
"nan",
"Alberto Garcia",
"Spain",
"7:43.89",
"CR"
],
[
"nan",
"Antonio David Jimenez",
"Spain",
"7:46.49",
"PB"
],
[
"nan",
"Jesus Espana",
"Spain",
"7:48.08",
"PB"
],
[
"nan",
"John Mayock",
"Great Britain",
"7:48.08",
"nan"
],
[
"5.0",
"Michael Buchleitner",
"Austria",
"7:54.39",
"SB"
],
[
"6.0",
"Mohammed Mourhit",
"Belgium",
"7:59.79",
"nan"
],
[
"7.0",
"Sergey Ivanov",
"Russia",
"8:02.98",
"nan"
],
[
"8.0",
"Mindaugas Pukstas",
"Lithuania",
"8:03.21",
"PB"
],
[
"9.0",
"Irba Lakhal",
"France",
"8:03.38",
"nan"
],
[
"10.0",
"Joakim Johansson",
"Denmark",
"8:06.47",
"nan"
],
[
"11.0",
"Harald Steindorfer",
"Austria",
"8:09.21",
"nan"
],
[
"12.0",
"Ferdinando Vicari",
"Italy",
"8:17.46",
"nan"
],
[
"13.0",
"Martin Steinbauer",
"Austria",
"8:22.06",
"nan"
],
[
"14.0",
"Christos Papapetrou",
"Cyprus",
"8:30.59",
"nan"
]
] |
[
"John Mayock"
] |
which one was not from spain? || who were the third place champions of the men's 3000 meteres event?
|
ns-2613
|
col : rank | name | nationality | time | notes row 1 : nan | alberto garcia | spain | 7:43.89 | cr row 2 : nan | antonio david jimenez | spain | 7:46.49 | pb row 3 : nan | jesus espana | spain | 7:48.08 | pb row 4 : nan | john mayock | great britain | 7:48.08 | nan row 5 : 5.0 | michael buchleitner | austria | 7:54.39 | sb row 6 : 6.0 | mohammed mourhit | belgium | 7:59.79 | nan row 7 : 7.0 | sergey ivanov | russia | 8:02.98 | nan row 8 : 8.0 | mindaugas pukstas | lithuania | 8:03.21 | pb row 9 : 9.0 | irba lakhal | france | 8:03.38 | nan row 10 : 10.0 | joakim johansson | denmark | 8:06.47 | nan row 11 : 11.0 | harald steindorfer | austria | 8:09.21 | nan row 12 : 12.0 | ferdinando vicari | italy | 8:17.46 | nan row 13 : 13.0 | martin steinbauer | austria | 8:22.06 | nan row 14 : 14.0 | christos papapetrou | cyprus | 8:30.59 | nan
|
table_csv/204_893.csv
| 0 |
{
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}
|
[
"who competed in the 2002 european athletics indoor championships - men's 3000 metres?"
] | 1 |
alberto garcia, antonio david jimenez, jesus espana, john mayock, michael buchleitner, mohammed mourhit, sergey ivanov, mindaugas pukstas, irba lakhal, joakim johansson, harald steindorfer, ferdinando vicari, martin steinbauer, christos papapetrou
|
[
"Rank",
"Name",
"Nationality",
"Time",
"Notes"
] |
who competed in the 2002 european athletics indoor championships - men's 3000 metres?
|
[
[
"nan",
"Alberto Garcia",
"Spain",
"7:43.89",
"CR"
],
[
"nan",
"Antonio David Jimenez",
"Spain",
"7:46.49",
"PB"
],
[
"nan",
"Jesus Espana",
"Spain",
"7:48.08",
"PB"
],
[
"nan",
"John Mayock",
"Great Britain",
"7:48.08",
"nan"
],
[
"5.0",
"Michael Buchleitner",
"Austria",
"7:54.39",
"SB"
],
[
"6.0",
"Mohammed Mourhit",
"Belgium",
"7:59.79",
"nan"
],
[
"7.0",
"Sergey Ivanov",
"Russia",
"8:02.98",
"nan"
],
[
"8.0",
"Mindaugas Pukstas",
"Lithuania",
"8:03.21",
"PB"
],
[
"9.0",
"Irba Lakhal",
"France",
"8:03.38",
"nan"
],
[
"10.0",
"Joakim Johansson",
"Denmark",
"8:06.47",
"nan"
],
[
"11.0",
"Harald Steindorfer",
"Austria",
"8:09.21",
"nan"
],
[
"12.0",
"Ferdinando Vicari",
"Italy",
"8:17.46",
"nan"
],
[
"13.0",
"Martin Steinbauer",
"Austria",
"8:22.06",
"nan"
],
[
"14.0",
"Christos Papapetrou",
"Cyprus",
"8:30.59",
"nan"
]
] |
[
"Alberto Garcia",
"Antonio David Jimenez",
"Jesus Espana",
"John Mayock",
"Michael Buchleitner",
"Mohammed Mourhit",
"Sergey Ivanov",
"Mindaugas Pukstas",
"Irba Lakhal",
"Joakim Johansson",
"Harald Steindorfer",
"Ferdinando Vicari",
"Martin Steinbauer",
"Christos Papapetrou"
] |
who competed in the 2002 european athletics indoor championships - men's 3000 metres? ||
|
ns-2613
|
col : rank | name | nationality | time | notes row 1 : nan | alberto garcia | spain | 7:43.89 | cr row 2 : nan | antonio david jimenez | spain | 7:46.49 | pb row 3 : nan | jesus espana | spain | 7:48.08 | pb row 4 : nan | john mayock | great britain | 7:48.08 | nan row 5 : 5.0 | michael buchleitner | austria | 7:54.39 | sb row 6 : 6.0 | mohammed mourhit | belgium | 7:59.79 | nan row 7 : 7.0 | sergey ivanov | russia | 8:02.98 | nan row 8 : 8.0 | mindaugas pukstas | lithuania | 8:03.21 | pb row 9 : 9.0 | irba lakhal | france | 8:03.38 | nan row 10 : 10.0 | joakim johansson | denmark | 8:06.47 | nan row 11 : 11.0 | harald steindorfer | austria | 8:09.21 | nan row 12 : 12.0 | ferdinando vicari | italy | 8:17.46 | nan row 13 : 13.0 | martin steinbauer | austria | 8:22.06 | nan row 14 : 14.0 | christos papapetrou | cyprus | 8:30.59 | nan
|
table_csv/204_893.csv
| 1 |
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11,
12,
13
]
}
|
[
"who competed in the 2002 european athletics indoor championships - men's 3000 metres?",
"of these competitors, which ones were not from spain?"
] | 1 |
john mayock, michael buchleitner, mohammed mourhit, sergey ivanov, mindaugas pukstas, irba lakhal, joakim johansson, harald steindorfer, ferdinando vicari, martin steinbauer, christos papapetrou
|
[
"Rank",
"Name",
"Nationality",
"Time",
"Notes"
] |
of these competitors, which ones were not from spain?
|
[
[
"nan",
"Alberto Garcia",
"Spain",
"7:43.89",
"CR"
],
[
"nan",
"Antonio David Jimenez",
"Spain",
"7:46.49",
"PB"
],
[
"nan",
"Jesus Espana",
"Spain",
"7:48.08",
"PB"
],
[
"nan",
"John Mayock",
"Great Britain",
"7:48.08",
"nan"
],
[
"5.0",
"Michael Buchleitner",
"Austria",
"7:54.39",
"SB"
],
[
"6.0",
"Mohammed Mourhit",
"Belgium",
"7:59.79",
"nan"
],
[
"7.0",
"Sergey Ivanov",
"Russia",
"8:02.98",
"nan"
],
[
"8.0",
"Mindaugas Pukstas",
"Lithuania",
"8:03.21",
"PB"
],
[
"9.0",
"Irba Lakhal",
"France",
"8:03.38",
"nan"
],
[
"10.0",
"Joakim Johansson",
"Denmark",
"8:06.47",
"nan"
],
[
"11.0",
"Harald Steindorfer",
"Austria",
"8:09.21",
"nan"
],
[
"12.0",
"Ferdinando Vicari",
"Italy",
"8:17.46",
"nan"
],
[
"13.0",
"Martin Steinbauer",
"Austria",
"8:22.06",
"nan"
],
[
"14.0",
"Christos Papapetrou",
"Cyprus",
"8:30.59",
"nan"
]
] |
[
"John Mayock",
"Michael Buchleitner",
"Mohammed Mourhit",
"Sergey Ivanov",
"Mindaugas Pukstas",
"Irba Lakhal",
"Joakim Johansson",
"Harald Steindorfer",
"Ferdinando Vicari",
"Martin Steinbauer",
"Christos Papapetrou"
] |
of these competitors, which ones were not from spain? || who competed in the 2002 european athletics indoor championships - men's 3000 metres?
|
ns-2613
|
col : rank | name | nationality | time | notes row 1 : nan | alberto garcia | spain | 7:43.89 | cr row 2 : nan | antonio david jimenez | spain | 7:46.49 | pb row 3 : nan | jesus espana | spain | 7:48.08 | pb row 4 : nan | john mayock | great britain | 7:48.08 | nan row 5 : 5.0 | michael buchleitner | austria | 7:54.39 | sb row 6 : 6.0 | mohammed mourhit | belgium | 7:59.79 | nan row 7 : 7.0 | sergey ivanov | russia | 8:02.98 | nan row 8 : 8.0 | mindaugas pukstas | lithuania | 8:03.21 | pb row 9 : 9.0 | irba lakhal | france | 8:03.38 | nan row 10 : 10.0 | joakim johansson | denmark | 8:06.47 | nan row 11 : 11.0 | harald steindorfer | austria | 8:09.21 | nan row 12 : 12.0 | ferdinando vicari | italy | 8:17.46 | nan row 13 : 13.0 | martin steinbauer | austria | 8:22.06 | nan row 14 : 14.0 | christos papapetrou | cyprus | 8:30.59 | nan
|
table_csv/204_893.csv
| 2 |
{
"column_index": [
1
],
"row_index": [
3
]
}
|
[
"who competed in the 2002 european athletics indoor championships - men's 3000 metres?",
"of these competitors, which ones were not from spain?",
"of these competitors, which one took third place?"
] | 1 |
john mayock
|
[
"Rank",
"Name",
"Nationality",
"Time",
"Notes"
] |
of these competitors, which one took third place?
|
[
[
"nan",
"Alberto Garcia",
"Spain",
"7:43.89",
"CR"
],
[
"nan",
"Antonio David Jimenez",
"Spain",
"7:46.49",
"PB"
],
[
"nan",
"Jesus Espana",
"Spain",
"7:48.08",
"PB"
],
[
"nan",
"John Mayock",
"Great Britain",
"7:48.08",
"nan"
],
[
"5.0",
"Michael Buchleitner",
"Austria",
"7:54.39",
"SB"
],
[
"6.0",
"Mohammed Mourhit",
"Belgium",
"7:59.79",
"nan"
],
[
"7.0",
"Sergey Ivanov",
"Russia",
"8:02.98",
"nan"
],
[
"8.0",
"Mindaugas Pukstas",
"Lithuania",
"8:03.21",
"PB"
],
[
"9.0",
"Irba Lakhal",
"France",
"8:03.38",
"nan"
],
[
"10.0",
"Joakim Johansson",
"Denmark",
"8:06.47",
"nan"
],
[
"11.0",
"Harald Steindorfer",
"Austria",
"8:09.21",
"nan"
],
[
"12.0",
"Ferdinando Vicari",
"Italy",
"8:17.46",
"nan"
],
[
"13.0",
"Martin Steinbauer",
"Austria",
"8:22.06",
"nan"
],
[
"14.0",
"Christos Papapetrou",
"Cyprus",
"8:30.59",
"nan"
]
] |
[
"John Mayock"
] |
of these competitors, which one took third place? || of these competitors, which ones were not from spain? | who competed in the 2002 european athletics indoor championships - men's 3000 metres?
|
ns-2613
|
col : rank | name | nationality | time | notes row 1 : nan | alberto garcia | spain | 7:43.89 | cr row 2 : nan | antonio david jimenez | spain | 7:46.49 | pb row 3 : nan | jesus espana | spain | 7:48.08 | pb row 4 : nan | john mayock | great britain | 7:48.08 | nan row 5 : 5.0 | michael buchleitner | austria | 7:54.39 | sb row 6 : 6.0 | mohammed mourhit | belgium | 7:59.79 | nan row 7 : 7.0 | sergey ivanov | russia | 8:02.98 | nan row 8 : 8.0 | mindaugas pukstas | lithuania | 8:03.21 | pb row 9 : 9.0 | irba lakhal | france | 8:03.38 | nan row 10 : 10.0 | joakim johansson | denmark | 8:06.47 | nan row 11 : 11.0 | harald steindorfer | austria | 8:09.21 | nan row 12 : 12.0 | ferdinando vicari | italy | 8:17.46 | nan row 13 : 13.0 | martin steinbauer | austria | 8:22.06 | nan row 14 : 14.0 | christos papapetrou | cyprus | 8:30.59 | nan
|
table_csv/204_893.csv
| 0 |
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3,
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|
[
"what are all the times?"
] | 2 |
7:43.89, 7:46.49, 7:48.08, 7:48.08, 7:54.39, 7:59.79, 8:02.98, 8:03.21, 8:03.38, 8:06.47, 8:09.21, 8:17.46, 8:22.06, 8:30.59
|
[
"Rank",
"Name",
"Nationality",
"Time",
"Notes"
] |
what are all the times?
|
[
[
"nan",
"Alberto Garcia",
"Spain",
"7:43.89",
"CR"
],
[
"nan",
"Antonio David Jimenez",
"Spain",
"7:46.49",
"PB"
],
[
"nan",
"Jesus Espana",
"Spain",
"7:48.08",
"PB"
],
[
"nan",
"John Mayock",
"Great Britain",
"7:48.08",
"nan"
],
[
"5.0",
"Michael Buchleitner",
"Austria",
"7:54.39",
"SB"
],
[
"6.0",
"Mohammed Mourhit",
"Belgium",
"7:59.79",
"nan"
],
[
"7.0",
"Sergey Ivanov",
"Russia",
"8:02.98",
"nan"
],
[
"8.0",
"Mindaugas Pukstas",
"Lithuania",
"8:03.21",
"PB"
],
[
"9.0",
"Irba Lakhal",
"France",
"8:03.38",
"nan"
],
[
"10.0",
"Joakim Johansson",
"Denmark",
"8:06.47",
"nan"
],
[
"11.0",
"Harald Steindorfer",
"Austria",
"8:09.21",
"nan"
],
[
"12.0",
"Ferdinando Vicari",
"Italy",
"8:17.46",
"nan"
],
[
"13.0",
"Martin Steinbauer",
"Austria",
"8:22.06",
"nan"
],
[
"14.0",
"Christos Papapetrou",
"Cyprus",
"8:30.59",
"nan"
]
] |
[
"7:43.89",
"7:46.49",
"7:48.08",
"7:48.08",
"7:54.39",
"7:59.79",
"8:02.98",
"8:03.21",
"8:03.38",
"8:06.47",
"8:09.21",
"8:17.46",
"8:22.06",
"8:30.59"
] |
what are all the times? ||
|
ns-2613
|
col : rank | name | nationality | time | notes row 1 : nan | alberto garcia | spain | 7:43.89 | cr row 2 : nan | antonio david jimenez | spain | 7:46.49 | pb row 3 : nan | jesus espana | spain | 7:48.08 | pb row 4 : nan | john mayock | great britain | 7:48.08 | nan row 5 : 5.0 | michael buchleitner | austria | 7:54.39 | sb row 6 : 6.0 | mohammed mourhit | belgium | 7:59.79 | nan row 7 : 7.0 | sergey ivanov | russia | 8:02.98 | nan row 8 : 8.0 | mindaugas pukstas | lithuania | 8:03.21 | pb row 9 : 9.0 | irba lakhal | france | 8:03.38 | nan row 10 : 10.0 | joakim johansson | denmark | 8:06.47 | nan row 11 : 11.0 | harald steindorfer | austria | 8:09.21 | nan row 12 : 12.0 | ferdinando vicari | italy | 8:17.46 | nan row 13 : 13.0 | martin steinbauer | austria | 8:22.06 | nan row 14 : 14.0 | christos papapetrou | cyprus | 8:30.59 | nan
|
table_csv/204_893.csv
| 1 |
{
"column_index": [
3,
3,
3,
3
],
"row_index": [
0,
1,
2,
3
]
}
|
[
"what are all the times?",
"of these, which are less than 7.50.00?"
] | 2 |
7:43.89, 7:46.49, 7:48.08, 7:48.08
|
[
"Rank",
"Name",
"Nationality",
"Time",
"Notes"
] |
of these, which are less than 7.50.00?
|
[
[
"nan",
"Alberto Garcia",
"Spain",
"7:43.89",
"CR"
],
[
"nan",
"Antonio David Jimenez",
"Spain",
"7:46.49",
"PB"
],
[
"nan",
"Jesus Espana",
"Spain",
"7:48.08",
"PB"
],
[
"nan",
"John Mayock",
"Great Britain",
"7:48.08",
"nan"
],
[
"5.0",
"Michael Buchleitner",
"Austria",
"7:54.39",
"SB"
],
[
"6.0",
"Mohammed Mourhit",
"Belgium",
"7:59.79",
"nan"
],
[
"7.0",
"Sergey Ivanov",
"Russia",
"8:02.98",
"nan"
],
[
"8.0",
"Mindaugas Pukstas",
"Lithuania",
"8:03.21",
"PB"
],
[
"9.0",
"Irba Lakhal",
"France",
"8:03.38",
"nan"
],
[
"10.0",
"Joakim Johansson",
"Denmark",
"8:06.47",
"nan"
],
[
"11.0",
"Harald Steindorfer",
"Austria",
"8:09.21",
"nan"
],
[
"12.0",
"Ferdinando Vicari",
"Italy",
"8:17.46",
"nan"
],
[
"13.0",
"Martin Steinbauer",
"Austria",
"8:22.06",
"nan"
],
[
"14.0",
"Christos Papapetrou",
"Cyprus",
"8:30.59",
"nan"
]
] |
[
"7:43.89",
"7:46.49",
"7:48.08",
"7:48.08"
] |
of these, which are less than 7.50.00? || what are all the times?
|
ns-2613
|
col : rank | name | nationality | time | notes row 1 : nan | alberto garcia | spain | 7:43.89 | cr row 2 : nan | antonio david jimenez | spain | 7:46.49 | pb row 3 : nan | jesus espana | spain | 7:48.08 | pb row 4 : nan | john mayock | great britain | 7:48.08 | nan row 5 : 5.0 | michael buchleitner | austria | 7:54.39 | sb row 6 : 6.0 | mohammed mourhit | belgium | 7:59.79 | nan row 7 : 7.0 | sergey ivanov | russia | 8:02.98 | nan row 8 : 8.0 | mindaugas pukstas | lithuania | 8:03.21 | pb row 9 : 9.0 | irba lakhal | france | 8:03.38 | nan row 10 : 10.0 | joakim johansson | denmark | 8:06.47 | nan row 11 : 11.0 | harald steindorfer | austria | 8:09.21 | nan row 12 : 12.0 | ferdinando vicari | italy | 8:17.46 | nan row 13 : 13.0 | martin steinbauer | austria | 8:22.06 | nan row 14 : 14.0 | christos papapetrou | cyprus | 8:30.59 | nan
|
table_csv/204_893.csv
| 2 |
{
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2,
2,
2,
2
],
"row_index": [
0,
1,
2,
3
]
}
|
[
"what are all the times?",
"of these, which are less than 7.50.00?",
"what are the nationalities of these?"
] | 2 |
spain, spain, spain, great britain
|
[
"Rank",
"Name",
"Nationality",
"Time",
"Notes"
] |
what are the nationalities of these?
|
[
[
"nan",
"Alberto Garcia",
"Spain",
"7:43.89",
"CR"
],
[
"nan",
"Antonio David Jimenez",
"Spain",
"7:46.49",
"PB"
],
[
"nan",
"Jesus Espana",
"Spain",
"7:48.08",
"PB"
],
[
"nan",
"John Mayock",
"Great Britain",
"7:48.08",
"nan"
],
[
"5.0",
"Michael Buchleitner",
"Austria",
"7:54.39",
"SB"
],
[
"6.0",
"Mohammed Mourhit",
"Belgium",
"7:59.79",
"nan"
],
[
"7.0",
"Sergey Ivanov",
"Russia",
"8:02.98",
"nan"
],
[
"8.0",
"Mindaugas Pukstas",
"Lithuania",
"8:03.21",
"PB"
],
[
"9.0",
"Irba Lakhal",
"France",
"8:03.38",
"nan"
],
[
"10.0",
"Joakim Johansson",
"Denmark",
"8:06.47",
"nan"
],
[
"11.0",
"Harald Steindorfer",
"Austria",
"8:09.21",
"nan"
],
[
"12.0",
"Ferdinando Vicari",
"Italy",
"8:17.46",
"nan"
],
[
"13.0",
"Martin Steinbauer",
"Austria",
"8:22.06",
"nan"
],
[
"14.0",
"Christos Papapetrou",
"Cyprus",
"8:30.59",
"nan"
]
] |
[
"Spain",
"Spain",
"Spain",
"Great Britain"
] |
what are the nationalities of these? || of these, which are less than 7.50.00? | what are all the times?
|
ns-2613
|
col : rank | name | nationality | time | notes row 1 : nan | alberto garcia | spain | 7:43.89 | cr row 2 : nan | antonio david jimenez | spain | 7:46.49 | pb row 3 : nan | jesus espana | spain | 7:48.08 | pb row 4 : nan | john mayock | great britain | 7:48.08 | nan row 5 : 5.0 | michael buchleitner | austria | 7:54.39 | sb row 6 : 6.0 | mohammed mourhit | belgium | 7:59.79 | nan row 7 : 7.0 | sergey ivanov | russia | 8:02.98 | nan row 8 : 8.0 | mindaugas pukstas | lithuania | 8:03.21 | pb row 9 : 9.0 | irba lakhal | france | 8:03.38 | nan row 10 : 10.0 | joakim johansson | denmark | 8:06.47 | nan row 11 : 11.0 | harald steindorfer | austria | 8:09.21 | nan row 12 : 12.0 | ferdinando vicari | italy | 8:17.46 | nan row 13 : 13.0 | martin steinbauer | austria | 8:22.06 | nan row 14 : 14.0 | christos papapetrou | cyprus | 8:30.59 | nan
|
table_csv/204_893.csv
| 3 |
{
"column_index": [
1
],
"row_index": [
3
]
}
|
[
"what are all the times?",
"of these, which are less than 7.50.00?",
"what are the nationalities of these?",
"of these, which athlete is not from spain?"
] | 2 |
john mayock
|
[
"Rank",
"Name",
"Nationality",
"Time",
"Notes"
] |
of these, which athlete is not from spain?
|
[
[
"nan",
"Alberto Garcia",
"Spain",
"7:43.89",
"CR"
],
[
"nan",
"Antonio David Jimenez",
"Spain",
"7:46.49",
"PB"
],
[
"nan",
"Jesus Espana",
"Spain",
"7:48.08",
"PB"
],
[
"nan",
"John Mayock",
"Great Britain",
"7:48.08",
"nan"
],
[
"5.0",
"Michael Buchleitner",
"Austria",
"7:54.39",
"SB"
],
[
"6.0",
"Mohammed Mourhit",
"Belgium",
"7:59.79",
"nan"
],
[
"7.0",
"Sergey Ivanov",
"Russia",
"8:02.98",
"nan"
],
[
"8.0",
"Mindaugas Pukstas",
"Lithuania",
"8:03.21",
"PB"
],
[
"9.0",
"Irba Lakhal",
"France",
"8:03.38",
"nan"
],
[
"10.0",
"Joakim Johansson",
"Denmark",
"8:06.47",
"nan"
],
[
"11.0",
"Harald Steindorfer",
"Austria",
"8:09.21",
"nan"
],
[
"12.0",
"Ferdinando Vicari",
"Italy",
"8:17.46",
"nan"
],
[
"13.0",
"Martin Steinbauer",
"Austria",
"8:22.06",
"nan"
],
[
"14.0",
"Christos Papapetrou",
"Cyprus",
"8:30.59",
"nan"
]
] |
[
"John Mayock"
] |
of these, which athlete is not from spain? || what are the nationalities of these? | of these, which are less than 7.50.00? | what are all the times?
|
nt-12031
|
col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta | 7 | 42.99 | 311,845 | 7,253.90 row 6 : cardona | 18 | 28.56 | 47,414 | 1,660.15 row 7 : jalajala | 11 | 44.12 | 30,074 | 681.64 row 8 : morong | 8 | 37.58 | 52,194 | 1,388.88 row 9 : pililla | 9 | 69.95 | 59,527 | 850.99 row 10 : rodriguez | 11 | 312.7 | 280,904 | 898.32 row 11 : san mateo | 15 | 55.09 | 205,255 | 3,725.81 row 12 : tanay | 19 | 200.0 | 98,879 | 494.3 row 13 : taytay | 5 | 38.8 | 288,956 | 7,447.32 row 14 : teresa | 9 | 18.61 | 47,163 | 2,534.28
|
table_csv/204_987.csv
| 0 |
{
"column_index": [
1
],
"row_index": [
0
]
}
|
[
"how many brangays are in angono?"
] | 0 |
10
|
[
"City/Municipality",
"No. of Barangays",
"Area (km2)",
"Population (2010 Census)",
"Pop. density (per km2)"
] |
how many brangays are in angono?
|
[
[
"Angono",
"10",
"26.22",
"102,407",
"3,905.68"
],
[
"Antipolo",
"16",
"306.1",
"677,741",
"2,214.12"
],
[
"Baras",
"10",
"84.93",
"32,609",
"383.95"
],
[
"Binangonan",
"40",
"66.34",
"249,872",
"3,766.54"
],
[
"Cainta",
"7",
"42.99",
"311,845",
"7,253.90"
],
[
"Cardona",
"18",
"28.56",
"47,414",
"1,660.15"
],
[
"Jalajala",
"11",
"44.12",
"30,074",
"681.64"
],
[
"Morong",
"8",
"37.58",
"52,194",
"1,388.88"
],
[
"Pililla",
"9",
"69.95",
"59,527",
"850.99"
],
[
"Rodriguez",
"11",
"312.7",
"280,904",
"898.32"
],
[
"San Mateo",
"15",
"55.09",
"205,255",
"3,725.81"
],
[
"Tanay",
"19",
"200.0",
"98,879",
"494.3"
],
[
"Taytay",
"5",
"38.8",
"288,956",
"7,447.32"
],
[
"Teresa",
"9",
"18.61",
"47,163",
"2,534.28"
]
] |
[
"10"
] |
how many brangays are in angono? ||
|
nt-12031
|
col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta | 7 | 42.99 | 311,845 | 7,253.90 row 6 : cardona | 18 | 28.56 | 47,414 | 1,660.15 row 7 : jalajala | 11 | 44.12 | 30,074 | 681.64 row 8 : morong | 8 | 37.58 | 52,194 | 1,388.88 row 9 : pililla | 9 | 69.95 | 59,527 | 850.99 row 10 : rodriguez | 11 | 312.7 | 280,904 | 898.32 row 11 : san mateo | 15 | 55.09 | 205,255 | 3,725.81 row 12 : tanay | 19 | 200.0 | 98,879 | 494.3 row 13 : taytay | 5 | 38.8 | 288,956 | 7,447.32 row 14 : teresa | 9 | 18.61 | 47,163 | 2,534.28
|
table_csv/204_987.csv
| 1 |
{
"column_index": [
1
],
"row_index": [
1
]
}
|
[
"how many brangays are in angono?",
"how many barangays are in antipolo?"
] | 0 |
16
|
[
"City/Municipality",
"No. of Barangays",
"Area (km2)",
"Population (2010 Census)",
"Pop. density (per km2)"
] |
how many barangays are in antipolo?
|
[
[
"Angono",
"10",
"26.22",
"102,407",
"3,905.68"
],
[
"Antipolo",
"16",
"306.1",
"677,741",
"2,214.12"
],
[
"Baras",
"10",
"84.93",
"32,609",
"383.95"
],
[
"Binangonan",
"40",
"66.34",
"249,872",
"3,766.54"
],
[
"Cainta",
"7",
"42.99",
"311,845",
"7,253.90"
],
[
"Cardona",
"18",
"28.56",
"47,414",
"1,660.15"
],
[
"Jalajala",
"11",
"44.12",
"30,074",
"681.64"
],
[
"Morong",
"8",
"37.58",
"52,194",
"1,388.88"
],
[
"Pililla",
"9",
"69.95",
"59,527",
"850.99"
],
[
"Rodriguez",
"11",
"312.7",
"280,904",
"898.32"
],
[
"San Mateo",
"15",
"55.09",
"205,255",
"3,725.81"
],
[
"Tanay",
"19",
"200.0",
"98,879",
"494.3"
],
[
"Taytay",
"5",
"38.8",
"288,956",
"7,447.32"
],
[
"Teresa",
"9",
"18.61",
"47,163",
"2,534.28"
]
] |
[
"16"
] |
how many barangays are in antipolo? || how many brangays are in angono?
|
nt-12031
|
col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta | 7 | 42.99 | 311,845 | 7,253.90 row 6 : cardona | 18 | 28.56 | 47,414 | 1,660.15 row 7 : jalajala | 11 | 44.12 | 30,074 | 681.64 row 8 : morong | 8 | 37.58 | 52,194 | 1,388.88 row 9 : pililla | 9 | 69.95 | 59,527 | 850.99 row 10 : rodriguez | 11 | 312.7 | 280,904 | 898.32 row 11 : san mateo | 15 | 55.09 | 205,255 | 3,725.81 row 12 : tanay | 19 | 200.0 | 98,879 | 494.3 row 13 : taytay | 5 | 38.8 | 288,956 | 7,447.32 row 14 : teresa | 9 | 18.61 | 47,163 | 2,534.28
|
table_csv/204_987.csv
| 2 |
{
"column_index": [
0
],
"row_index": [
11
]
}
|
[
"how many brangays are in angono?",
"how many barangays are in antipolo?",
"barangays morong and rodriquez equals the number to which other municipality?"
] | 0 |
tanay
|
[
"City/Municipality",
"No. of Barangays",
"Area (km2)",
"Population (2010 Census)",
"Pop. density (per km2)"
] |
barangays morong and rodriquez equals the number to which other municipality?
|
[
[
"Angono",
"10",
"26.22",
"102,407",
"3,905.68"
],
[
"Antipolo",
"16",
"306.1",
"677,741",
"2,214.12"
],
[
"Baras",
"10",
"84.93",
"32,609",
"383.95"
],
[
"Binangonan",
"40",
"66.34",
"249,872",
"3,766.54"
],
[
"Cainta",
"7",
"42.99",
"311,845",
"7,253.90"
],
[
"Cardona",
"18",
"28.56",
"47,414",
"1,660.15"
],
[
"Jalajala",
"11",
"44.12",
"30,074",
"681.64"
],
[
"Morong",
"8",
"37.58",
"52,194",
"1,388.88"
],
[
"Pililla",
"9",
"69.95",
"59,527",
"850.99"
],
[
"Rodriguez",
"11",
"312.7",
"280,904",
"898.32"
],
[
"San Mateo",
"15",
"55.09",
"205,255",
"3,725.81"
],
[
"Tanay",
"19",
"200.0",
"98,879",
"494.3"
],
[
"Taytay",
"5",
"38.8",
"288,956",
"7,447.32"
],
[
"Teresa",
"9",
"18.61",
"47,163",
"2,534.28"
]
] |
[
"Tanay"
] |
barangays morong and rodriquez equals the number to which other municipality? || how many barangays are in antipolo? | how many brangays are in angono?
|
nt-12031
|
col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta | 7 | 42.99 | 311,845 | 7,253.90 row 6 : cardona | 18 | 28.56 | 47,414 | 1,660.15 row 7 : jalajala | 11 | 44.12 | 30,074 | 681.64 row 8 : morong | 8 | 37.58 | 52,194 | 1,388.88 row 9 : pililla | 9 | 69.95 | 59,527 | 850.99 row 10 : rodriguez | 11 | 312.7 | 280,904 | 898.32 row 11 : san mateo | 15 | 55.09 | 205,255 | 3,725.81 row 12 : tanay | 19 | 200.0 | 98,879 | 494.3 row 13 : taytay | 5 | 38.8 | 288,956 | 7,447.32 row 14 : teresa | 9 | 18.61 | 47,163 | 2,534.28
|
table_csv/204_987.csv
| 0 |
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0,
0,
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0,
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}
|
[
"which cities are in rizal?"
] | 1 |
angono, antipolo, baras, binangonan, cainta, cardona, jalajala, morong, pililla, rodriguez, san mateo, tanay, taytay, teresa
|
[
"City/Municipality",
"No. of Barangays",
"Area (km2)",
"Population (2010 Census)",
"Pop. density (per km2)"
] |
which cities are in rizal?
|
[
[
"Angono",
"10",
"26.22",
"102,407",
"3,905.68"
],
[
"Antipolo",
"16",
"306.1",
"677,741",
"2,214.12"
],
[
"Baras",
"10",
"84.93",
"32,609",
"383.95"
],
[
"Binangonan",
"40",
"66.34",
"249,872",
"3,766.54"
],
[
"Cainta",
"7",
"42.99",
"311,845",
"7,253.90"
],
[
"Cardona",
"18",
"28.56",
"47,414",
"1,660.15"
],
[
"Jalajala",
"11",
"44.12",
"30,074",
"681.64"
],
[
"Morong",
"8",
"37.58",
"52,194",
"1,388.88"
],
[
"Pililla",
"9",
"69.95",
"59,527",
"850.99"
],
[
"Rodriguez",
"11",
"312.7",
"280,904",
"898.32"
],
[
"San Mateo",
"15",
"55.09",
"205,255",
"3,725.81"
],
[
"Tanay",
"19",
"200.0",
"98,879",
"494.3"
],
[
"Taytay",
"5",
"38.8",
"288,956",
"7,447.32"
],
[
"Teresa",
"9",
"18.61",
"47,163",
"2,534.28"
]
] |
[
"Angono",
"Antipolo",
"Baras",
"Binangonan",
"Cainta",
"Cardona",
"Jalajala",
"Morong",
"Pililla",
"Rodriguez",
"San Mateo",
"Tanay",
"Taytay",
"Teresa"
] |
which cities are in rizal? ||
|
nt-12031
|
col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta | 7 | 42.99 | 311,845 | 7,253.90 row 6 : cardona | 18 | 28.56 | 47,414 | 1,660.15 row 7 : jalajala | 11 | 44.12 | 30,074 | 681.64 row 8 : morong | 8 | 37.58 | 52,194 | 1,388.88 row 9 : pililla | 9 | 69.95 | 59,527 | 850.99 row 10 : rodriguez | 11 | 312.7 | 280,904 | 898.32 row 11 : san mateo | 15 | 55.09 | 205,255 | 3,725.81 row 12 : tanay | 19 | 200.0 | 98,879 | 494.3 row 13 : taytay | 5 | 38.8 | 288,956 | 7,447.32 row 14 : teresa | 9 | 18.61 | 47,163 | 2,534.28
|
table_csv/204_987.csv
| 1 |
{
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1,
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8,
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11,
12,
13
]
}
|
[
"which cities are in rizal?",
"how many barangays do they have?"
] | 1 |
10, 16, 10, 40, 7, 18, 11, 8, 9, 11, 15, 19, 5, 9
|
[
"City/Municipality",
"No. of Barangays",
"Area (km2)",
"Population (2010 Census)",
"Pop. density (per km2)"
] |
how many barangays do they have?
|
[
[
"Angono",
"10",
"26.22",
"102,407",
"3,905.68"
],
[
"Antipolo",
"16",
"306.1",
"677,741",
"2,214.12"
],
[
"Baras",
"10",
"84.93",
"32,609",
"383.95"
],
[
"Binangonan",
"40",
"66.34",
"249,872",
"3,766.54"
],
[
"Cainta",
"7",
"42.99",
"311,845",
"7,253.90"
],
[
"Cardona",
"18",
"28.56",
"47,414",
"1,660.15"
],
[
"Jalajala",
"11",
"44.12",
"30,074",
"681.64"
],
[
"Morong",
"8",
"37.58",
"52,194",
"1,388.88"
],
[
"Pililla",
"9",
"69.95",
"59,527",
"850.99"
],
[
"Rodriguez",
"11",
"312.7",
"280,904",
"898.32"
],
[
"San Mateo",
"15",
"55.09",
"205,255",
"3,725.81"
],
[
"Tanay",
"19",
"200.0",
"98,879",
"494.3"
],
[
"Taytay",
"5",
"38.8",
"288,956",
"7,447.32"
],
[
"Teresa",
"9",
"18.61",
"47,163",
"2,534.28"
]
] |
[
"10",
"16",
"10",
"40",
"7",
"18",
"11",
"8",
"9",
"11",
"15",
"19",
"5",
"9"
] |
how many barangays do they have? || which cities are in rizal?
|
nt-12031
|
col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta | 7 | 42.99 | 311,845 | 7,253.90 row 6 : cardona | 18 | 28.56 | 47,414 | 1,660.15 row 7 : jalajala | 11 | 44.12 | 30,074 | 681.64 row 8 : morong | 8 | 37.58 | 52,194 | 1,388.88 row 9 : pililla | 9 | 69.95 | 59,527 | 850.99 row 10 : rodriguez | 11 | 312.7 | 280,904 | 898.32 row 11 : san mateo | 15 | 55.09 | 205,255 | 3,725.81 row 12 : tanay | 19 | 200.0 | 98,879 | 494.3 row 13 : taytay | 5 | 38.8 | 288,956 | 7,447.32 row 14 : teresa | 9 | 18.61 | 47,163 | 2,534.28
|
table_csv/204_987.csv
| 2 |
{
"column_index": [
1,
1
],
"row_index": [
7,
9
]
}
|
[
"which cities are in rizal?",
"how many barangays do they have?",
"how many are in morong and rodriguez?"
] | 1 |
8, 11
|
[
"City/Municipality",
"No. of Barangays",
"Area (km2)",
"Population (2010 Census)",
"Pop. density (per km2)"
] |
how many are in morong and rodriguez?
|
[
[
"Angono",
"10",
"26.22",
"102,407",
"3,905.68"
],
[
"Antipolo",
"16",
"306.1",
"677,741",
"2,214.12"
],
[
"Baras",
"10",
"84.93",
"32,609",
"383.95"
],
[
"Binangonan",
"40",
"66.34",
"249,872",
"3,766.54"
],
[
"Cainta",
"7",
"42.99",
"311,845",
"7,253.90"
],
[
"Cardona",
"18",
"28.56",
"47,414",
"1,660.15"
],
[
"Jalajala",
"11",
"44.12",
"30,074",
"681.64"
],
[
"Morong",
"8",
"37.58",
"52,194",
"1,388.88"
],
[
"Pililla",
"9",
"69.95",
"59,527",
"850.99"
],
[
"Rodriguez",
"11",
"312.7",
"280,904",
"898.32"
],
[
"San Mateo",
"15",
"55.09",
"205,255",
"3,725.81"
],
[
"Tanay",
"19",
"200.0",
"98,879",
"494.3"
],
[
"Taytay",
"5",
"38.8",
"288,956",
"7,447.32"
],
[
"Teresa",
"9",
"18.61",
"47,163",
"2,534.28"
]
] |
[
"8",
"11"
] |
how many are in morong and rodriguez? || how many barangays do they have? | which cities are in rizal?
|
nt-12031
|
col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta | 7 | 42.99 | 311,845 | 7,253.90 row 6 : cardona | 18 | 28.56 | 47,414 | 1,660.15 row 7 : jalajala | 11 | 44.12 | 30,074 | 681.64 row 8 : morong | 8 | 37.58 | 52,194 | 1,388.88 row 9 : pililla | 9 | 69.95 | 59,527 | 850.99 row 10 : rodriguez | 11 | 312.7 | 280,904 | 898.32 row 11 : san mateo | 15 | 55.09 | 205,255 | 3,725.81 row 12 : tanay | 19 | 200.0 | 98,879 | 494.3 row 13 : taytay | 5 | 38.8 | 288,956 | 7,447.32 row 14 : teresa | 9 | 18.61 | 47,163 | 2,534.28
|
table_csv/204_987.csv
| 3 |
{
"column_index": [
0
],
"row_index": [
11
]
}
|
[
"which cities are in rizal?",
"how many barangays do they have?",
"how many are in morong and rodriguez?",
"combine those and it equals the amount of barangays in which city?"
] | 1 |
tanay
|
[
"City/Municipality",
"No. of Barangays",
"Area (km2)",
"Population (2010 Census)",
"Pop. density (per km2)"
] |
combine those and it equals the amount of barangays in which city?
|
[
[
"Angono",
"10",
"26.22",
"102,407",
"3,905.68"
],
[
"Antipolo",
"16",
"306.1",
"677,741",
"2,214.12"
],
[
"Baras",
"10",
"84.93",
"32,609",
"383.95"
],
[
"Binangonan",
"40",
"66.34",
"249,872",
"3,766.54"
],
[
"Cainta",
"7",
"42.99",
"311,845",
"7,253.90"
],
[
"Cardona",
"18",
"28.56",
"47,414",
"1,660.15"
],
[
"Jalajala",
"11",
"44.12",
"30,074",
"681.64"
],
[
"Morong",
"8",
"37.58",
"52,194",
"1,388.88"
],
[
"Pililla",
"9",
"69.95",
"59,527",
"850.99"
],
[
"Rodriguez",
"11",
"312.7",
"280,904",
"898.32"
],
[
"San Mateo",
"15",
"55.09",
"205,255",
"3,725.81"
],
[
"Tanay",
"19",
"200.0",
"98,879",
"494.3"
],
[
"Taytay",
"5",
"38.8",
"288,956",
"7,447.32"
],
[
"Teresa",
"9",
"18.61",
"47,163",
"2,534.28"
]
] |
[
"Tanay"
] |
combine those and it equals the amount of barangays in which city? || how many are in morong and rodriguez? | how many barangays do they have? | which cities are in rizal?
|
nt-12031
|
col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta | 7 | 42.99 | 311,845 | 7,253.90 row 6 : cardona | 18 | 28.56 | 47,414 | 1,660.15 row 7 : jalajala | 11 | 44.12 | 30,074 | 681.64 row 8 : morong | 8 | 37.58 | 52,194 | 1,388.88 row 9 : pililla | 9 | 69.95 | 59,527 | 850.99 row 10 : rodriguez | 11 | 312.7 | 280,904 | 898.32 row 11 : san mateo | 15 | 55.09 | 205,255 | 3,725.81 row 12 : tanay | 19 | 200.0 | 98,879 | 494.3 row 13 : taytay | 5 | 38.8 | 288,956 | 7,447.32 row 14 : teresa | 9 | 18.61 | 47,163 | 2,534.28
|
table_csv/204_987.csv
| 0 |
{
"column_index": [
3
],
"row_index": [
0
]
}
|
[
"in 2010 angono had a population of?"
] | 2 |
102,407
|
[
"City/Municipality",
"No. of Barangays",
"Area (km2)",
"Population (2010 Census)",
"Pop. density (per km2)"
] |
in 2010 angono had a population of?
|
[
[
"Angono",
"10",
"26.22",
"102,407",
"3,905.68"
],
[
"Antipolo",
"16",
"306.1",
"677,741",
"2,214.12"
],
[
"Baras",
"10",
"84.93",
"32,609",
"383.95"
],
[
"Binangonan",
"40",
"66.34",
"249,872",
"3,766.54"
],
[
"Cainta",
"7",
"42.99",
"311,845",
"7,253.90"
],
[
"Cardona",
"18",
"28.56",
"47,414",
"1,660.15"
],
[
"Jalajala",
"11",
"44.12",
"30,074",
"681.64"
],
[
"Morong",
"8",
"37.58",
"52,194",
"1,388.88"
],
[
"Pililla",
"9",
"69.95",
"59,527",
"850.99"
],
[
"Rodriguez",
"11",
"312.7",
"280,904",
"898.32"
],
[
"San Mateo",
"15",
"55.09",
"205,255",
"3,725.81"
],
[
"Tanay",
"19",
"200.0",
"98,879",
"494.3"
],
[
"Taytay",
"5",
"38.8",
"288,956",
"7,447.32"
],
[
"Teresa",
"9",
"18.61",
"47,163",
"2,534.28"
]
] |
[
"102,407"
] |
in 2010 angono had a population of? ||
|
nt-12031
|
col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta | 7 | 42.99 | 311,845 | 7,253.90 row 6 : cardona | 18 | 28.56 | 47,414 | 1,660.15 row 7 : jalajala | 11 | 44.12 | 30,074 | 681.64 row 8 : morong | 8 | 37.58 | 52,194 | 1,388.88 row 9 : pililla | 9 | 69.95 | 59,527 | 850.99 row 10 : rodriguez | 11 | 312.7 | 280,904 | 898.32 row 11 : san mateo | 15 | 55.09 | 205,255 | 3,725.81 row 12 : tanay | 19 | 200.0 | 98,879 | 494.3 row 13 : taytay | 5 | 38.8 | 288,956 | 7,447.32 row 14 : teresa | 9 | 18.61 | 47,163 | 2,534.28
|
table_csv/204_987.csv
| 1 |
{
"column_index": [
1
],
"row_index": [
5
]
}
|
[
"in 2010 angono had a population of?",
"cardona had how many barangays?"
] | 2 |
18
|
[
"City/Municipality",
"No. of Barangays",
"Area (km2)",
"Population (2010 Census)",
"Pop. density (per km2)"
] |
cardona had how many barangays?
|
[
[
"Angono",
"10",
"26.22",
"102,407",
"3,905.68"
],
[
"Antipolo",
"16",
"306.1",
"677,741",
"2,214.12"
],
[
"Baras",
"10",
"84.93",
"32,609",
"383.95"
],
[
"Binangonan",
"40",
"66.34",
"249,872",
"3,766.54"
],
[
"Cainta",
"7",
"42.99",
"311,845",
"7,253.90"
],
[
"Cardona",
"18",
"28.56",
"47,414",
"1,660.15"
],
[
"Jalajala",
"11",
"44.12",
"30,074",
"681.64"
],
[
"Morong",
"8",
"37.58",
"52,194",
"1,388.88"
],
[
"Pililla",
"9",
"69.95",
"59,527",
"850.99"
],
[
"Rodriguez",
"11",
"312.7",
"280,904",
"898.32"
],
[
"San Mateo",
"15",
"55.09",
"205,255",
"3,725.81"
],
[
"Tanay",
"19",
"200.0",
"98,879",
"494.3"
],
[
"Taytay",
"5",
"38.8",
"288,956",
"7,447.32"
],
[
"Teresa",
"9",
"18.61",
"47,163",
"2,534.28"
]
] |
[
"18"
] |
cardona had how many barangays? || in 2010 angono had a population of?
|
nt-12031
|
col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta | 7 | 42.99 | 311,845 | 7,253.90 row 6 : cardona | 18 | 28.56 | 47,414 | 1,660.15 row 7 : jalajala | 11 | 44.12 | 30,074 | 681.64 row 8 : morong | 8 | 37.58 | 52,194 | 1,388.88 row 9 : pililla | 9 | 69.95 | 59,527 | 850.99 row 10 : rodriguez | 11 | 312.7 | 280,904 | 898.32 row 11 : san mateo | 15 | 55.09 | 205,255 | 3,725.81 row 12 : tanay | 19 | 200.0 | 98,879 | 494.3 row 13 : taytay | 5 | 38.8 | 288,956 | 7,447.32 row 14 : teresa | 9 | 18.61 | 47,163 | 2,534.28
|
table_csv/204_987.csv
| 2 |
{
"column_index": [
0
],
"row_index": [
11
]
}
|
[
"in 2010 angono had a population of?",
"cardona had how many barangays?",
"morong and rodriguez barangays equal what other municipality?"
] | 2 |
tanay
|
[
"City/Municipality",
"No. of Barangays",
"Area (km2)",
"Population (2010 Census)",
"Pop. density (per km2)"
] |
morong and rodriguez barangays equal what other municipality?
|
[
[
"Angono",
"10",
"26.22",
"102,407",
"3,905.68"
],
[
"Antipolo",
"16",
"306.1",
"677,741",
"2,214.12"
],
[
"Baras",
"10",
"84.93",
"32,609",
"383.95"
],
[
"Binangonan",
"40",
"66.34",
"249,872",
"3,766.54"
],
[
"Cainta",
"7",
"42.99",
"311,845",
"7,253.90"
],
[
"Cardona",
"18",
"28.56",
"47,414",
"1,660.15"
],
[
"Jalajala",
"11",
"44.12",
"30,074",
"681.64"
],
[
"Morong",
"8",
"37.58",
"52,194",
"1,388.88"
],
[
"Pililla",
"9",
"69.95",
"59,527",
"850.99"
],
[
"Rodriguez",
"11",
"312.7",
"280,904",
"898.32"
],
[
"San Mateo",
"15",
"55.09",
"205,255",
"3,725.81"
],
[
"Tanay",
"19",
"200.0",
"98,879",
"494.3"
],
[
"Taytay",
"5",
"38.8",
"288,956",
"7,447.32"
],
[
"Teresa",
"9",
"18.61",
"47,163",
"2,534.28"
]
] |
[
"Tanay"
] |
morong and rodriguez barangays equal what other municipality? || cardona had how many barangays? | in 2010 angono had a population of?
|
nt-8674
|
col : rank | wrestler | no. of reigns | combined defenses | combined days row 1 : 1 | keiji mutoh | 4 | 19 | 1,238 row 2 : 2 | hiroshi tanahashi | 6 | 27 | 1,237 row 3 : 3 | shinya hashimoto | 3 | 20 | 1,052 row 4 : 4 | tatsumi fujinami | 6 | 13 | 785 row 5 : 5 | kensuke sasaki | 5 | 9 | 647 row 6 : 6 | yuji nagata | 2 | 12 | 570 row 7 : 7 | kazuchika okada+ | 2 | 10 | 556+ row 8 : 8 | kazuyuki fujita | 3 | 3 | 478 row 9 : 9 | big van vader | 3 | 4 | 451 row 10 : 10 | shinsuke nakamura | 3 | 9 | 390 row 11 : 11 | riki choshu | 3 | 5 | 383 row 12 : 12 | antonio inoki | 1 | 4 | 325 row 13 : 13 | brock lesnar | 1 | 3 | 280 row 14 : 14 | hiroyoshi tenzan | 4 | 2 | 197 row 15 : 15 | yoshihiro takayama | 1 | 3 | 185 row 16 : 16 | satoshi kojima | 2 | 2 | 168 row 17 : 17 | togi makabe | 1 | 3 | 161 row 18 : 18 | scott norton | 2 | 4 | 126 row 19 : 19 | nobuhiko takada | 1 | 1 | 116 row 20 : 20 | bob sapp | 1 | 1 | 66 row 21 : 21 | salman hashimikov | 1 | 0 | 48 row 22 : 21 | tadao yasuda | 1 | 1 | 48 row 23 : 23 | manabu nakanishi | 1 | 0 | 45 row 24 : 24 | masahiro chono | 1 | 0 | 44 row 25 : 25 | genichiro tenryu | 1 | 0 | 25
|
table_csv/203_678.csv
| 0 |
{
"column_index": [
1
],
"row_index": [
0
]
}
|
[
"which wrestler has 4 number of regions in the iwgp heavyweight championship?"
] | 0 |
keiji mutoh
|
[
"Rank",
"Wrestler",
"No. of reigns",
"Combined defenses",
"Combined days"
] |
which wrestler has 4 number of regions in the iwgp heavyweight championship?
|
[
[
"1",
"Keiji Mutoh",
"4",
"19",
"1,238"
],
[
"2",
"Hiroshi Tanahashi",
"6",
"27",
"1,237"
],
[
"3",
"Shinya Hashimoto",
"3",
"20",
"1,052"
],
[
"4",
"Tatsumi Fujinami",
"6",
"13",
"785"
],
[
"5",
"Kensuke Sasaki",
"5",
"9",
"647"
],
[
"6",
"Yuji Nagata",
"2",
"12",
"570"
],
[
"7",
"Kazuchika Okada+",
"2",
"10",
"556+"
],
[
"8",
"Kazuyuki Fujita",
"3",
"3",
"478"
],
[
"9",
"Big Van Vader",
"3",
"4",
"451"
],
[
"10",
"Shinsuke Nakamura",
"3",
"9",
"390"
],
[
"11",
"Riki Choshu",
"3",
"5",
"383"
],
[
"12",
"Antonio Inoki",
"1",
"4",
"325"
],
[
"13",
"Brock Lesnar",
"1",
"3",
"280"
],
[
"14",
"Hiroyoshi Tenzan",
"4",
"2",
"197"
],
[
"15",
"Yoshihiro Takayama",
"1",
"3",
"185"
],
[
"16",
"Satoshi Kojima",
"2",
"2",
"168"
],
[
"17",
"Togi Makabe",
"1",
"3",
"161"
],
[
"18",
"Scott Norton",
"2",
"4",
"126"
],
[
"19",
"Nobuhiko Takada",
"1",
"1",
"116"
],
[
"20",
"Bob Sapp",
"1",
"1",
"66"
],
[
"21",
"Salman Hashimikov",
"1",
"0",
"48"
],
[
"21",
"Tadao Yasuda",
"1",
"1",
"48"
],
[
"23",
"Manabu Nakanishi",
"1",
"0",
"45"
],
[
"24",
"Masahiro Chono",
"1",
"0",
"44"
],
[
"25",
"Genichiro Tenryu",
"1",
"0",
"25"
]
] |
[
"Keiji Mutoh"
] |
which wrestler has 4 number of regions in the iwgp heavyweight championship? ||
|
nt-8674
|
col : rank | wrestler | no. of reigns | combined defenses | combined days row 1 : 1 | keiji mutoh | 4 | 19 | 1,238 row 2 : 2 | hiroshi tanahashi | 6 | 27 | 1,237 row 3 : 3 | shinya hashimoto | 3 | 20 | 1,052 row 4 : 4 | tatsumi fujinami | 6 | 13 | 785 row 5 : 5 | kensuke sasaki | 5 | 9 | 647 row 6 : 6 | yuji nagata | 2 | 12 | 570 row 7 : 7 | kazuchika okada+ | 2 | 10 | 556+ row 8 : 8 | kazuyuki fujita | 3 | 3 | 478 row 9 : 9 | big van vader | 3 | 4 | 451 row 10 : 10 | shinsuke nakamura | 3 | 9 | 390 row 11 : 11 | riki choshu | 3 | 5 | 383 row 12 : 12 | antonio inoki | 1 | 4 | 325 row 13 : 13 | brock lesnar | 1 | 3 | 280 row 14 : 14 | hiroyoshi tenzan | 4 | 2 | 197 row 15 : 15 | yoshihiro takayama | 1 | 3 | 185 row 16 : 16 | satoshi kojima | 2 | 2 | 168 row 17 : 17 | togi makabe | 1 | 3 | 161 row 18 : 18 | scott norton | 2 | 4 | 126 row 19 : 19 | nobuhiko takada | 1 | 1 | 116 row 20 : 20 | bob sapp | 1 | 1 | 66 row 21 : 21 | salman hashimikov | 1 | 0 | 48 row 22 : 21 | tadao yasuda | 1 | 1 | 48 row 23 : 23 | manabu nakanishi | 1 | 0 | 45 row 24 : 24 | masahiro chono | 1 | 0 | 44 row 25 : 25 | genichiro tenryu | 1 | 0 | 25
|
table_csv/203_678.csv
| 1 |
{
"column_index": [
1
],
"row_index": [
1
]
}
|
[
"which wrestler has 4 number of regions in the iwgp heavyweight championship?",
"which wrestler has 6 number of regions?"
] | 0 |
hiroshi tanahashi
|
[
"Rank",
"Wrestler",
"No. of reigns",
"Combined defenses",
"Combined days"
] |
which wrestler has 6 number of regions?
|
[
[
"1",
"Keiji Mutoh",
"4",
"19",
"1,238"
],
[
"2",
"Hiroshi Tanahashi",
"6",
"27",
"1,237"
],
[
"3",
"Shinya Hashimoto",
"3",
"20",
"1,052"
],
[
"4",
"Tatsumi Fujinami",
"6",
"13",
"785"
],
[
"5",
"Kensuke Sasaki",
"5",
"9",
"647"
],
[
"6",
"Yuji Nagata",
"2",
"12",
"570"
],
[
"7",
"Kazuchika Okada+",
"2",
"10",
"556+"
],
[
"8",
"Kazuyuki Fujita",
"3",
"3",
"478"
],
[
"9",
"Big Van Vader",
"3",
"4",
"451"
],
[
"10",
"Shinsuke Nakamura",
"3",
"9",
"390"
],
[
"11",
"Riki Choshu",
"3",
"5",
"383"
],
[
"12",
"Antonio Inoki",
"1",
"4",
"325"
],
[
"13",
"Brock Lesnar",
"1",
"3",
"280"
],
[
"14",
"Hiroyoshi Tenzan",
"4",
"2",
"197"
],
[
"15",
"Yoshihiro Takayama",
"1",
"3",
"185"
],
[
"16",
"Satoshi Kojima",
"2",
"2",
"168"
],
[
"17",
"Togi Makabe",
"1",
"3",
"161"
],
[
"18",
"Scott Norton",
"2",
"4",
"126"
],
[
"19",
"Nobuhiko Takada",
"1",
"1",
"116"
],
[
"20",
"Bob Sapp",
"1",
"1",
"66"
],
[
"21",
"Salman Hashimikov",
"1",
"0",
"48"
],
[
"21",
"Tadao Yasuda",
"1",
"1",
"48"
],
[
"23",
"Manabu Nakanishi",
"1",
"0",
"45"
],
[
"24",
"Masahiro Chono",
"1",
"0",
"44"
],
[
"25",
"Genichiro Tenryu",
"1",
"0",
"25"
]
] |
[
"Hiroshi Tanahashi"
] |
which wrestler has 6 number of regions? || which wrestler has 4 number of regions in the iwgp heavyweight championship?
|
nt-8674
|
col : rank | wrestler | no. of reigns | combined defenses | combined days row 1 : 1 | keiji mutoh | 4 | 19 | 1,238 row 2 : 2 | hiroshi tanahashi | 6 | 27 | 1,237 row 3 : 3 | shinya hashimoto | 3 | 20 | 1,052 row 4 : 4 | tatsumi fujinami | 6 | 13 | 785 row 5 : 5 | kensuke sasaki | 5 | 9 | 647 row 6 : 6 | yuji nagata | 2 | 12 | 570 row 7 : 7 | kazuchika okada+ | 2 | 10 | 556+ row 8 : 8 | kazuyuki fujita | 3 | 3 | 478 row 9 : 9 | big van vader | 3 | 4 | 451 row 10 : 10 | shinsuke nakamura | 3 | 9 | 390 row 11 : 11 | riki choshu | 3 | 5 | 383 row 12 : 12 | antonio inoki | 1 | 4 | 325 row 13 : 13 | brock lesnar | 1 | 3 | 280 row 14 : 14 | hiroyoshi tenzan | 4 | 2 | 197 row 15 : 15 | yoshihiro takayama | 1 | 3 | 185 row 16 : 16 | satoshi kojima | 2 | 2 | 168 row 17 : 17 | togi makabe | 1 | 3 | 161 row 18 : 18 | scott norton | 2 | 4 | 126 row 19 : 19 | nobuhiko takada | 1 | 1 | 116 row 20 : 20 | bob sapp | 1 | 1 | 66 row 21 : 21 | salman hashimikov | 1 | 0 | 48 row 22 : 21 | tadao yasuda | 1 | 1 | 48 row 23 : 23 | manabu nakanishi | 1 | 0 | 45 row 24 : 24 | masahiro chono | 1 | 0 | 44 row 25 : 25 | genichiro tenryu | 1 | 0 | 25
|
table_csv/203_678.csv
| 2 |
{
"column_index": [
1
],
"row_index": [
4
]
}
|
[
"which wrestler has 4 number of regions in the iwgp heavyweight championship?",
"which wrestler has 6 number of regions?",
"which wrestler has five number of regions?"
] | 0 |
kensuke sasaki
|
[
"Rank",
"Wrestler",
"No. of reigns",
"Combined defenses",
"Combined days"
] |
which wrestler has five number of regions?
|
[
[
"1",
"Keiji Mutoh",
"4",
"19",
"1,238"
],
[
"2",
"Hiroshi Tanahashi",
"6",
"27",
"1,237"
],
[
"3",
"Shinya Hashimoto",
"3",
"20",
"1,052"
],
[
"4",
"Tatsumi Fujinami",
"6",
"13",
"785"
],
[
"5",
"Kensuke Sasaki",
"5",
"9",
"647"
],
[
"6",
"Yuji Nagata",
"2",
"12",
"570"
],
[
"7",
"Kazuchika Okada+",
"2",
"10",
"556+"
],
[
"8",
"Kazuyuki Fujita",
"3",
"3",
"478"
],
[
"9",
"Big Van Vader",
"3",
"4",
"451"
],
[
"10",
"Shinsuke Nakamura",
"3",
"9",
"390"
],
[
"11",
"Riki Choshu",
"3",
"5",
"383"
],
[
"12",
"Antonio Inoki",
"1",
"4",
"325"
],
[
"13",
"Brock Lesnar",
"1",
"3",
"280"
],
[
"14",
"Hiroyoshi Tenzan",
"4",
"2",
"197"
],
[
"15",
"Yoshihiro Takayama",
"1",
"3",
"185"
],
[
"16",
"Satoshi Kojima",
"2",
"2",
"168"
],
[
"17",
"Togi Makabe",
"1",
"3",
"161"
],
[
"18",
"Scott Norton",
"2",
"4",
"126"
],
[
"19",
"Nobuhiko Takada",
"1",
"1",
"116"
],
[
"20",
"Bob Sapp",
"1",
"1",
"66"
],
[
"21",
"Salman Hashimikov",
"1",
"0",
"48"
],
[
"21",
"Tadao Yasuda",
"1",
"1",
"48"
],
[
"23",
"Manabu Nakanishi",
"1",
"0",
"45"
],
[
"24",
"Masahiro Chono",
"1",
"0",
"44"
],
[
"25",
"Genichiro Tenryu",
"1",
"0",
"25"
]
] |
[
"Kensuke Sasaki"
] |
which wrestler has five number of regions? || which wrestler has 6 number of regions? | which wrestler has 4 number of regions in the iwgp heavyweight championship?
|
nt-8674
|
col : rank | wrestler | no. of reigns | combined defenses | combined days row 1 : 1 | keiji mutoh | 4 | 19 | 1,238 row 2 : 2 | hiroshi tanahashi | 6 | 27 | 1,237 row 3 : 3 | shinya hashimoto | 3 | 20 | 1,052 row 4 : 4 | tatsumi fujinami | 6 | 13 | 785 row 5 : 5 | kensuke sasaki | 5 | 9 | 647 row 6 : 6 | yuji nagata | 2 | 12 | 570 row 7 : 7 | kazuchika okada+ | 2 | 10 | 556+ row 8 : 8 | kazuyuki fujita | 3 | 3 | 478 row 9 : 9 | big van vader | 3 | 4 | 451 row 10 : 10 | shinsuke nakamura | 3 | 9 | 390 row 11 : 11 | riki choshu | 3 | 5 | 383 row 12 : 12 | antonio inoki | 1 | 4 | 325 row 13 : 13 | brock lesnar | 1 | 3 | 280 row 14 : 14 | hiroyoshi tenzan | 4 | 2 | 197 row 15 : 15 | yoshihiro takayama | 1 | 3 | 185 row 16 : 16 | satoshi kojima | 2 | 2 | 168 row 17 : 17 | togi makabe | 1 | 3 | 161 row 18 : 18 | scott norton | 2 | 4 | 126 row 19 : 19 | nobuhiko takada | 1 | 1 | 116 row 20 : 20 | bob sapp | 1 | 1 | 66 row 21 : 21 | salman hashimikov | 1 | 0 | 48 row 22 : 21 | tadao yasuda | 1 | 1 | 48 row 23 : 23 | manabu nakanishi | 1 | 0 | 45 row 24 : 24 | masahiro chono | 1 | 0 | 44 row 25 : 25 | genichiro tenryu | 1 | 0 | 25
|
table_csv/203_678.csv
| 0 |
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]
}
|
[
"who are the wrestlers at the iwgp heavyweight championship?"
] | 1 |
keiji mutoh, hiroshi tanahashi, shinya hashimoto, tatsumi fujinami, kensuke sasaki, yuji nagata, kazuchika okada+, kazuyuki fujita, big van vader, shinsuke nakamura, riki choshu, antonio inoki, brock lesnar, hiroyoshi tenzan, yoshihiro takayama, satoshi kojima, togi makabe, scott norton, nobuhiko takada, bob sapp, salman hashimikov, tadao yasuda, manabu nakanishi, masahiro chono, genichiro tenryu
|
[
"Rank",
"Wrestler",
"No. of reigns",
"Combined defenses",
"Combined days"
] |
who are the wrestlers at the iwgp heavyweight championship?
|
[
[
"1",
"Keiji Mutoh",
"4",
"19",
"1,238"
],
[
"2",
"Hiroshi Tanahashi",
"6",
"27",
"1,237"
],
[
"3",
"Shinya Hashimoto",
"3",
"20",
"1,052"
],
[
"4",
"Tatsumi Fujinami",
"6",
"13",
"785"
],
[
"5",
"Kensuke Sasaki",
"5",
"9",
"647"
],
[
"6",
"Yuji Nagata",
"2",
"12",
"570"
],
[
"7",
"Kazuchika Okada+",
"2",
"10",
"556+"
],
[
"8",
"Kazuyuki Fujita",
"3",
"3",
"478"
],
[
"9",
"Big Van Vader",
"3",
"4",
"451"
],
[
"10",
"Shinsuke Nakamura",
"3",
"9",
"390"
],
[
"11",
"Riki Choshu",
"3",
"5",
"383"
],
[
"12",
"Antonio Inoki",
"1",
"4",
"325"
],
[
"13",
"Brock Lesnar",
"1",
"3",
"280"
],
[
"14",
"Hiroyoshi Tenzan",
"4",
"2",
"197"
],
[
"15",
"Yoshihiro Takayama",
"1",
"3",
"185"
],
[
"16",
"Satoshi Kojima",
"2",
"2",
"168"
],
[
"17",
"Togi Makabe",
"1",
"3",
"161"
],
[
"18",
"Scott Norton",
"2",
"4",
"126"
],
[
"19",
"Nobuhiko Takada",
"1",
"1",
"116"
],
[
"20",
"Bob Sapp",
"1",
"1",
"66"
],
[
"21",
"Salman Hashimikov",
"1",
"0",
"48"
],
[
"21",
"Tadao Yasuda",
"1",
"1",
"48"
],
[
"23",
"Manabu Nakanishi",
"1",
"0",
"45"
],
[
"24",
"Masahiro Chono",
"1",
"0",
"44"
],
[
"25",
"Genichiro Tenryu",
"1",
"0",
"25"
]
] |
[
"Keiji Mutoh",
"Hiroshi Tanahashi",
"Shinya Hashimoto",
"Tatsumi Fujinami",
"Kensuke Sasaki",
"Yuji Nagata",
"Kazuchika Okada+",
"Kazuyuki Fujita",
"Big Van Vader",
"Shinsuke Nakamura",
"Riki Choshu",
"Antonio Inoki",
"Brock Lesnar",
"Hiroyoshi Tenzan",
"Yoshihiro Takayama",
"Satoshi Kojima",
"Togi Makabe",
"Scott Norton",
"Nobuhiko Takada",
"Bob Sapp",
"Salman Hashimikov",
"Tadao Yasuda",
"Manabu Nakanishi",
"Masahiro Chono",
"Genichiro Tenryu"
] |
who are the wrestlers at the iwgp heavyweight championship? ||
|
nt-8674
|
col : rank | wrestler | no. of reigns | combined defenses | combined days row 1 : 1 | keiji mutoh | 4 | 19 | 1,238 row 2 : 2 | hiroshi tanahashi | 6 | 27 | 1,237 row 3 : 3 | shinya hashimoto | 3 | 20 | 1,052 row 4 : 4 | tatsumi fujinami | 6 | 13 | 785 row 5 : 5 | kensuke sasaki | 5 | 9 | 647 row 6 : 6 | yuji nagata | 2 | 12 | 570 row 7 : 7 | kazuchika okada+ | 2 | 10 | 556+ row 8 : 8 | kazuyuki fujita | 3 | 3 | 478 row 9 : 9 | big van vader | 3 | 4 | 451 row 10 : 10 | shinsuke nakamura | 3 | 9 | 390 row 11 : 11 | riki choshu | 3 | 5 | 383 row 12 : 12 | antonio inoki | 1 | 4 | 325 row 13 : 13 | brock lesnar | 1 | 3 | 280 row 14 : 14 | hiroyoshi tenzan | 4 | 2 | 197 row 15 : 15 | yoshihiro takayama | 1 | 3 | 185 row 16 : 16 | satoshi kojima | 2 | 2 | 168 row 17 : 17 | togi makabe | 1 | 3 | 161 row 18 : 18 | scott norton | 2 | 4 | 126 row 19 : 19 | nobuhiko takada | 1 | 1 | 116 row 20 : 20 | bob sapp | 1 | 1 | 66 row 21 : 21 | salman hashimikov | 1 | 0 | 48 row 22 : 21 | tadao yasuda | 1 | 1 | 48 row 23 : 23 | manabu nakanishi | 1 | 0 | 45 row 24 : 24 | masahiro chono | 1 | 0 | 44 row 25 : 25 | genichiro tenryu | 1 | 0 | 25
|
table_csv/203_678.csv
| 1 |
{
"column_index": [
1
],
"row_index": [
4
]
}
|
[
"who are the wrestlers at the iwgp heavyweight championship?",
"which wrestler has 5 number of reigns?"
] | 1 |
kensuke sasaki
|
[
"Rank",
"Wrestler",
"No. of reigns",
"Combined defenses",
"Combined days"
] |
which wrestler has 5 number of reigns?
|
[
[
"1",
"Keiji Mutoh",
"4",
"19",
"1,238"
],
[
"2",
"Hiroshi Tanahashi",
"6",
"27",
"1,237"
],
[
"3",
"Shinya Hashimoto",
"3",
"20",
"1,052"
],
[
"4",
"Tatsumi Fujinami",
"6",
"13",
"785"
],
[
"5",
"Kensuke Sasaki",
"5",
"9",
"647"
],
[
"6",
"Yuji Nagata",
"2",
"12",
"570"
],
[
"7",
"Kazuchika Okada+",
"2",
"10",
"556+"
],
[
"8",
"Kazuyuki Fujita",
"3",
"3",
"478"
],
[
"9",
"Big Van Vader",
"3",
"4",
"451"
],
[
"10",
"Shinsuke Nakamura",
"3",
"9",
"390"
],
[
"11",
"Riki Choshu",
"3",
"5",
"383"
],
[
"12",
"Antonio Inoki",
"1",
"4",
"325"
],
[
"13",
"Brock Lesnar",
"1",
"3",
"280"
],
[
"14",
"Hiroyoshi Tenzan",
"4",
"2",
"197"
],
[
"15",
"Yoshihiro Takayama",
"1",
"3",
"185"
],
[
"16",
"Satoshi Kojima",
"2",
"2",
"168"
],
[
"17",
"Togi Makabe",
"1",
"3",
"161"
],
[
"18",
"Scott Norton",
"2",
"4",
"126"
],
[
"19",
"Nobuhiko Takada",
"1",
"1",
"116"
],
[
"20",
"Bob Sapp",
"1",
"1",
"66"
],
[
"21",
"Salman Hashimikov",
"1",
"0",
"48"
],
[
"21",
"Tadao Yasuda",
"1",
"1",
"48"
],
[
"23",
"Manabu Nakanishi",
"1",
"0",
"45"
],
[
"24",
"Masahiro Chono",
"1",
"0",
"44"
],
[
"25",
"Genichiro Tenryu",
"1",
"0",
"25"
]
] |
[
"Kensuke Sasaki"
] |
which wrestler has 5 number of reigns? || who are the wrestlers at the iwgp heavyweight championship?
|
nt-8674
|
col : rank | wrestler | no. of reigns | combined defenses | combined days row 1 : 1 | keiji mutoh | 4 | 19 | 1,238 row 2 : 2 | hiroshi tanahashi | 6 | 27 | 1,237 row 3 : 3 | shinya hashimoto | 3 | 20 | 1,052 row 4 : 4 | tatsumi fujinami | 6 | 13 | 785 row 5 : 5 | kensuke sasaki | 5 | 9 | 647 row 6 : 6 | yuji nagata | 2 | 12 | 570 row 7 : 7 | kazuchika okada+ | 2 | 10 | 556+ row 8 : 8 | kazuyuki fujita | 3 | 3 | 478 row 9 : 9 | big van vader | 3 | 4 | 451 row 10 : 10 | shinsuke nakamura | 3 | 9 | 390 row 11 : 11 | riki choshu | 3 | 5 | 383 row 12 : 12 | antonio inoki | 1 | 4 | 325 row 13 : 13 | brock lesnar | 1 | 3 | 280 row 14 : 14 | hiroyoshi tenzan | 4 | 2 | 197 row 15 : 15 | yoshihiro takayama | 1 | 3 | 185 row 16 : 16 | satoshi kojima | 2 | 2 | 168 row 17 : 17 | togi makabe | 1 | 3 | 161 row 18 : 18 | scott norton | 2 | 4 | 126 row 19 : 19 | nobuhiko takada | 1 | 1 | 116 row 20 : 20 | bob sapp | 1 | 1 | 66 row 21 : 21 | salman hashimikov | 1 | 0 | 48 row 22 : 21 | tadao yasuda | 1 | 1 | 48 row 23 : 23 | manabu nakanishi | 1 | 0 | 45 row 24 : 24 | masahiro chono | 1 | 0 | 44 row 25 : 25 | genichiro tenryu | 1 | 0 | 25
|
table_csv/203_678.csv
| 0 |
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}
|
[
"which iwgp heavyweight championship are listed?"
] | 2 |
keiji mutoh, hiroshi tanahashi, shinya hashimoto, tatsumi fujinami, kensuke sasaki, yuji nagata, kazuchika okada+, kazuyuki fujita, big van vader, shinsuke nakamura, riki choshu, antonio inoki, brock lesnar, hiroyoshi tenzan, yoshihiro takayama, satoshi kojima, togi makabe, scott norton, nobuhiko takada, bob sapp, salman hashimikov, tadao yasuda, manabu nakanishi, masahiro chono, genichiro tenryu
|
[
"Rank",
"Wrestler",
"No. of reigns",
"Combined defenses",
"Combined days"
] |
which iwgp heavyweight championship are listed?
|
[
[
"1",
"Keiji Mutoh",
"4",
"19",
"1,238"
],
[
"2",
"Hiroshi Tanahashi",
"6",
"27",
"1,237"
],
[
"3",
"Shinya Hashimoto",
"3",
"20",
"1,052"
],
[
"4",
"Tatsumi Fujinami",
"6",
"13",
"785"
],
[
"5",
"Kensuke Sasaki",
"5",
"9",
"647"
],
[
"6",
"Yuji Nagata",
"2",
"12",
"570"
],
[
"7",
"Kazuchika Okada+",
"2",
"10",
"556+"
],
[
"8",
"Kazuyuki Fujita",
"3",
"3",
"478"
],
[
"9",
"Big Van Vader",
"3",
"4",
"451"
],
[
"10",
"Shinsuke Nakamura",
"3",
"9",
"390"
],
[
"11",
"Riki Choshu",
"3",
"5",
"383"
],
[
"12",
"Antonio Inoki",
"1",
"4",
"325"
],
[
"13",
"Brock Lesnar",
"1",
"3",
"280"
],
[
"14",
"Hiroyoshi Tenzan",
"4",
"2",
"197"
],
[
"15",
"Yoshihiro Takayama",
"1",
"3",
"185"
],
[
"16",
"Satoshi Kojima",
"2",
"2",
"168"
],
[
"17",
"Togi Makabe",
"1",
"3",
"161"
],
[
"18",
"Scott Norton",
"2",
"4",
"126"
],
[
"19",
"Nobuhiko Takada",
"1",
"1",
"116"
],
[
"20",
"Bob Sapp",
"1",
"1",
"66"
],
[
"21",
"Salman Hashimikov",
"1",
"0",
"48"
],
[
"21",
"Tadao Yasuda",
"1",
"1",
"48"
],
[
"23",
"Manabu Nakanishi",
"1",
"0",
"45"
],
[
"24",
"Masahiro Chono",
"1",
"0",
"44"
],
[
"25",
"Genichiro Tenryu",
"1",
"0",
"25"
]
] |
[
"Keiji Mutoh",
"Hiroshi Tanahashi",
"Shinya Hashimoto",
"Tatsumi Fujinami",
"Kensuke Sasaki",
"Yuji Nagata",
"Kazuchika Okada+",
"Kazuyuki Fujita",
"Big Van Vader",
"Shinsuke Nakamura",
"Riki Choshu",
"Antonio Inoki",
"Brock Lesnar",
"Hiroyoshi Tenzan",
"Yoshihiro Takayama",
"Satoshi Kojima",
"Togi Makabe",
"Scott Norton",
"Nobuhiko Takada",
"Bob Sapp",
"Salman Hashimikov",
"Tadao Yasuda",
"Manabu Nakanishi",
"Masahiro Chono",
"Genichiro Tenryu"
] |
which iwgp heavyweight championship are listed? ||
|
nt-8674
|
col : rank | wrestler | no. of reigns | combined defenses | combined days row 1 : 1 | keiji mutoh | 4 | 19 | 1,238 row 2 : 2 | hiroshi tanahashi | 6 | 27 | 1,237 row 3 : 3 | shinya hashimoto | 3 | 20 | 1,052 row 4 : 4 | tatsumi fujinami | 6 | 13 | 785 row 5 : 5 | kensuke sasaki | 5 | 9 | 647 row 6 : 6 | yuji nagata | 2 | 12 | 570 row 7 : 7 | kazuchika okada+ | 2 | 10 | 556+ row 8 : 8 | kazuyuki fujita | 3 | 3 | 478 row 9 : 9 | big van vader | 3 | 4 | 451 row 10 : 10 | shinsuke nakamura | 3 | 9 | 390 row 11 : 11 | riki choshu | 3 | 5 | 383 row 12 : 12 | antonio inoki | 1 | 4 | 325 row 13 : 13 | brock lesnar | 1 | 3 | 280 row 14 : 14 | hiroyoshi tenzan | 4 | 2 | 197 row 15 : 15 | yoshihiro takayama | 1 | 3 | 185 row 16 : 16 | satoshi kojima | 2 | 2 | 168 row 17 : 17 | togi makabe | 1 | 3 | 161 row 18 : 18 | scott norton | 2 | 4 | 126 row 19 : 19 | nobuhiko takada | 1 | 1 | 116 row 20 : 20 | bob sapp | 1 | 1 | 66 row 21 : 21 | salman hashimikov | 1 | 0 | 48 row 22 : 21 | tadao yasuda | 1 | 1 | 48 row 23 : 23 | manabu nakanishi | 1 | 0 | 45 row 24 : 24 | masahiro chono | 1 | 0 | 44 row 25 : 25 | genichiro tenryu | 1 | 0 | 25
|
table_csv/203_678.csv
| 1 |
{
"column_index": [
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4
]
}
|
[
"which iwgp heavyweight championship are listed?",
"of those, who are the top five wrestlers?"
] | 2 |
keiji mutoh, hiroshi tanahashi, shinya hashimoto, tatsumi fujinami, kensuke sasaki
|
[
"Rank",
"Wrestler",
"No. of reigns",
"Combined defenses",
"Combined days"
] |
of those, who are the top five wrestlers?
|
[
[
"1",
"Keiji Mutoh",
"4",
"19",
"1,238"
],
[
"2",
"Hiroshi Tanahashi",
"6",
"27",
"1,237"
],
[
"3",
"Shinya Hashimoto",
"3",
"20",
"1,052"
],
[
"4",
"Tatsumi Fujinami",
"6",
"13",
"785"
],
[
"5",
"Kensuke Sasaki",
"5",
"9",
"647"
],
[
"6",
"Yuji Nagata",
"2",
"12",
"570"
],
[
"7",
"Kazuchika Okada+",
"2",
"10",
"556+"
],
[
"8",
"Kazuyuki Fujita",
"3",
"3",
"478"
],
[
"9",
"Big Van Vader",
"3",
"4",
"451"
],
[
"10",
"Shinsuke Nakamura",
"3",
"9",
"390"
],
[
"11",
"Riki Choshu",
"3",
"5",
"383"
],
[
"12",
"Antonio Inoki",
"1",
"4",
"325"
],
[
"13",
"Brock Lesnar",
"1",
"3",
"280"
],
[
"14",
"Hiroyoshi Tenzan",
"4",
"2",
"197"
],
[
"15",
"Yoshihiro Takayama",
"1",
"3",
"185"
],
[
"16",
"Satoshi Kojima",
"2",
"2",
"168"
],
[
"17",
"Togi Makabe",
"1",
"3",
"161"
],
[
"18",
"Scott Norton",
"2",
"4",
"126"
],
[
"19",
"Nobuhiko Takada",
"1",
"1",
"116"
],
[
"20",
"Bob Sapp",
"1",
"1",
"66"
],
[
"21",
"Salman Hashimikov",
"1",
"0",
"48"
],
[
"21",
"Tadao Yasuda",
"1",
"1",
"48"
],
[
"23",
"Manabu Nakanishi",
"1",
"0",
"45"
],
[
"24",
"Masahiro Chono",
"1",
"0",
"44"
],
[
"25",
"Genichiro Tenryu",
"1",
"0",
"25"
]
] |
[
"Keiji Mutoh",
"Hiroshi Tanahashi",
"Shinya Hashimoto",
"Tatsumi Fujinami",
"Kensuke Sasaki"
] |
of those, who are the top five wrestlers? || which iwgp heavyweight championship are listed?
|
nt-8674
|
col : rank | wrestler | no. of reigns | combined defenses | combined days row 1 : 1 | keiji mutoh | 4 | 19 | 1,238 row 2 : 2 | hiroshi tanahashi | 6 | 27 | 1,237 row 3 : 3 | shinya hashimoto | 3 | 20 | 1,052 row 4 : 4 | tatsumi fujinami | 6 | 13 | 785 row 5 : 5 | kensuke sasaki | 5 | 9 | 647 row 6 : 6 | yuji nagata | 2 | 12 | 570 row 7 : 7 | kazuchika okada+ | 2 | 10 | 556+ row 8 : 8 | kazuyuki fujita | 3 | 3 | 478 row 9 : 9 | big van vader | 3 | 4 | 451 row 10 : 10 | shinsuke nakamura | 3 | 9 | 390 row 11 : 11 | riki choshu | 3 | 5 | 383 row 12 : 12 | antonio inoki | 1 | 4 | 325 row 13 : 13 | brock lesnar | 1 | 3 | 280 row 14 : 14 | hiroyoshi tenzan | 4 | 2 | 197 row 15 : 15 | yoshihiro takayama | 1 | 3 | 185 row 16 : 16 | satoshi kojima | 2 | 2 | 168 row 17 : 17 | togi makabe | 1 | 3 | 161 row 18 : 18 | scott norton | 2 | 4 | 126 row 19 : 19 | nobuhiko takada | 1 | 1 | 116 row 20 : 20 | bob sapp | 1 | 1 | 66 row 21 : 21 | salman hashimikov | 1 | 0 | 48 row 22 : 21 | tadao yasuda | 1 | 1 | 48 row 23 : 23 | manabu nakanishi | 1 | 0 | 45 row 24 : 24 | masahiro chono | 1 | 0 | 44 row 25 : 25 | genichiro tenryu | 1 | 0 | 25
|
table_csv/203_678.csv
| 2 |
{
"column_index": [
1
],
"row_index": [
4
]
}
|
[
"which iwgp heavyweight championship are listed?",
"of those, who are the top five wrestlers?",
"of those, who has exactly 5 reigns?"
] | 2 |
kensuke sasaki
|
[
"Rank",
"Wrestler",
"No. of reigns",
"Combined defenses",
"Combined days"
] |
of those, who has exactly 5 reigns?
|
[
[
"1",
"Keiji Mutoh",
"4",
"19",
"1,238"
],
[
"2",
"Hiroshi Tanahashi",
"6",
"27",
"1,237"
],
[
"3",
"Shinya Hashimoto",
"3",
"20",
"1,052"
],
[
"4",
"Tatsumi Fujinami",
"6",
"13",
"785"
],
[
"5",
"Kensuke Sasaki",
"5",
"9",
"647"
],
[
"6",
"Yuji Nagata",
"2",
"12",
"570"
],
[
"7",
"Kazuchika Okada+",
"2",
"10",
"556+"
],
[
"8",
"Kazuyuki Fujita",
"3",
"3",
"478"
],
[
"9",
"Big Van Vader",
"3",
"4",
"451"
],
[
"10",
"Shinsuke Nakamura",
"3",
"9",
"390"
],
[
"11",
"Riki Choshu",
"3",
"5",
"383"
],
[
"12",
"Antonio Inoki",
"1",
"4",
"325"
],
[
"13",
"Brock Lesnar",
"1",
"3",
"280"
],
[
"14",
"Hiroyoshi Tenzan",
"4",
"2",
"197"
],
[
"15",
"Yoshihiro Takayama",
"1",
"3",
"185"
],
[
"16",
"Satoshi Kojima",
"2",
"2",
"168"
],
[
"17",
"Togi Makabe",
"1",
"3",
"161"
],
[
"18",
"Scott Norton",
"2",
"4",
"126"
],
[
"19",
"Nobuhiko Takada",
"1",
"1",
"116"
],
[
"20",
"Bob Sapp",
"1",
"1",
"66"
],
[
"21",
"Salman Hashimikov",
"1",
"0",
"48"
],
[
"21",
"Tadao Yasuda",
"1",
"1",
"48"
],
[
"23",
"Manabu Nakanishi",
"1",
"0",
"45"
],
[
"24",
"Masahiro Chono",
"1",
"0",
"44"
],
[
"25",
"Genichiro Tenryu",
"1",
"0",
"25"
]
] |
[
"Kensuke Sasaki"
] |
of those, who has exactly 5 reigns? || of those, who are the top five wrestlers? | which iwgp heavyweight championship are listed?
|
nt-5636
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
|
table_csv/204_107.csv
| 0 |
{
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
}
|
[
"what countries won silver medals?"
] | 0 |
netherlands, italy, belgium, spain, great britain, germany, greece, russia
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
what countries won silver medals?
|
[
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
] |
[
"Netherlands",
"Italy",
"Belgium",
"Spain",
"Great Britain",
"Germany",
"Greece",
"Russia"
] |
what countries won silver medals? ||
|
nt-5636
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
|
table_csv/204_107.csv
| 1 |
{
"column_index": [
1
],
"row_index": [
0
]
}
|
[
"what countries won silver medals?",
"of those countries, what country won the second most amount of silver medals?"
] | 0 |
netherlands
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
of those countries, what country won the second most amount of silver medals?
|
[
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
] |
[
"Netherlands"
] |
of those countries, what country won the second most amount of silver medals? || what countries won silver medals?
|
nt-5636
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
|
table_csv/204_107.csv
| 0 |
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"column_index": [
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
}
|
[
"which nations have received silver medals?"
] | 1 |
netherlands, italy, belgium, spain, great britain, germany, greece, russia
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
which nations have received silver medals?
|
[
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
] |
[
"Netherlands",
"Italy",
"Belgium",
"Spain",
"Great Britain",
"Germany",
"Greece",
"Russia"
] |
which nations have received silver medals? ||
|
nt-5636
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
|
table_csv/204_107.csv
| 1 |
{
"column_index": [
1,
1
],
"row_index": [
0,
1
]
}
|
[
"which nations have received silver medals?",
"of these nations, which nations have more than five silver medals?"
] | 1 |
netherlands, italy
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
of these nations, which nations have more than five silver medals?
|
[
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
] |
[
"Netherlands",
"Italy"
] |
of these nations, which nations have more than five silver medals? || which nations have received silver medals?
|
nt-5636
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
|
table_csv/204_107.csv
| 2 |
{
"column_index": [
1
],
"row_index": [
0
]
}
|
[
"which nations have received silver medals?",
"of these nations, which nations have more than five silver medals?",
"which of these two nations has less silver medals?"
] | 1 |
netherlands
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
which of these two nations has less silver medals?
|
[
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
] |
[
"Netherlands"
] |
which of these two nations has less silver medals? || of these nations, which nations have more than five silver medals? | which nations have received silver medals?
|
nt-5636
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
|
table_csv/204_107.csv
| 0 |
{
"column_index": [
3
],
"row_index": [
1
]
}
|
[
"what is the most amount of silver medals received by a team?"
] | 2 |
15
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
what is the most amount of silver medals received by a team?
|
[
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
] |
[
"15"
] |
what is the most amount of silver medals received by a team? ||
|
nt-5636
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
|
table_csv/204_107.csv
| 1 |
{
"column_index": [
3
],
"row_index": [
0
]
}
|
[
"what is the most amount of silver medals received by a team?",
"what is the second most silver medals to be received by a team?"
] | 2 |
9
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
what is the second most silver medals to be received by a team?
|
[
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
] |
[
"9"
] |
what is the second most silver medals to be received by a team? || what is the most amount of silver medals received by a team?
|
nt-5636
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
|
table_csv/204_107.csv
| 2 |
{
"column_index": [
1
],
"row_index": [
0
]
}
|
[
"what is the most amount of silver medals received by a team?",
"what is the second most silver medals to be received by a team?",
"which country received 9 silver medals?"
] | 2 |
netherlands
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
which country received 9 silver medals?
|
[
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
] |
[
"Netherlands"
] |
which country received 9 silver medals? || what is the second most silver medals to be received by a team? | what is the most amount of silver medals received by a team?
|
nt-13031
|
col : # | name | strike tone (st-1/16) | weight (kg) | diameter (mm) | inscription row 1 : 1 | maria | g0 +8 | 6045 | 2075 | + o mater alma christi carissima-- row 2 : 2 | carolus | h0 +7 | 2900 | 1628 | honor et cultus, quem regalis row 3 : 3 | johannes evangelista | d1 +8 | 1400 | 1367 | nascentes inter socias mecum ordine row 4 : 4 | johannes baptista | e1 +7 | 1225 | 1217 | johannes baptista ora pro nobis. row 5 : 5 | leopardus | fis1 +3 | 850 | 1078 | sancte leoparde ora pro nobis ann row 6 : 6 | stephanus | g1 +8 | 715 | 1027 | sancte stephane ora pro nobis ann row 7 : 7 | petrus | a1 +1 | 425 | 894 | sancte petre ora pro nobis anno 1 row 8 : 8 | simeon | h1 +8 | 290 | 793 | sancte simeon juste et timorate or
|
table_csv/203_283.csv
| 0 |
{
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
}
|
[
"what are the names of all the bells?"
] | 0 |
maria, carolus, johannes evangelista, johannes baptista, leopardus, stephanus, petrus, simeon
|
[
"#",
"Name",
"Strike tone (ST-1/16)",
"Weight (kg)",
"Diameter (mm)",
"Inscription"
] |
what are the names of all the bells?
|
[
[
"1",
"Maria",
"g0 +8",
"6045",
"2075",
"+ O MATER ALMA CHRISTI CARISSIMA--"
],
[
"2",
"Carolus",
"h0 +7",
"2900",
"1628",
"HONOR ET CULTUS, QUEM REGALIS"
],
[
"3",
"Johannes Evangelista",
"d1 +8",
"1400",
"1367",
"NASCENTES INTER SOCIAS MECUM ORDINE"
],
[
"4",
"Johannes Baptista",
"e1 +7",
"1225",
"1217",
"JOHANNES BAPTISTA ORA PRO NOBIS."
],
[
"5",
"Leopardus",
"fis1 +3",
"850",
"1078",
"SANCTE LEOPARDE ORA PRO NOBIS ANN"
],
[
"6",
"Stephanus",
"g1 +8",
"715",
"1027",
"SANCTE STEPHANE ORA PRO NOBIS ANN"
],
[
"7",
"Petrus",
"a1 +1",
"425",
"894",
"SANCTE PETRE ORA PRO NOBIS ANNO 1"
],
[
"8",
"Simeon",
"h1 +8",
"290",
"793",
"SANCTE SIMEON JUSTE ET TIMORATE OR"
]
] |
[
"Maria",
"Carolus",
"Johannes Evangelista",
"Johannes Baptista",
"Leopardus",
"Stephanus",
"Petrus",
"Simeon"
] |
what are the names of all the bells? ||
|
nt-13031
|
col : # | name | strike tone (st-1/16) | weight (kg) | diameter (mm) | inscription row 1 : 1 | maria | g0 +8 | 6045 | 2075 | + o mater alma christi carissima-- row 2 : 2 | carolus | h0 +7 | 2900 | 1628 | honor et cultus, quem regalis row 3 : 3 | johannes evangelista | d1 +8 | 1400 | 1367 | nascentes inter socias mecum ordine row 4 : 4 | johannes baptista | e1 +7 | 1225 | 1217 | johannes baptista ora pro nobis. row 5 : 5 | leopardus | fis1 +3 | 850 | 1078 | sancte leoparde ora pro nobis ann row 6 : 6 | stephanus | g1 +8 | 715 | 1027 | sancte stephane ora pro nobis ann row 7 : 7 | petrus | a1 +1 | 425 | 894 | sancte petre ora pro nobis anno 1 row 8 : 8 | simeon | h1 +8 | 290 | 793 | sancte simeon juste et timorate or
|
table_csv/203_283.csv
| 1 |
{
"column_index": [
1
],
"row_index": [
6
]
}
|
[
"what are the names of all the bells?",
"of these, which one weighed 425kg?"
] | 0 |
petrus
|
[
"#",
"Name",
"Strike tone (ST-1/16)",
"Weight (kg)",
"Diameter (mm)",
"Inscription"
] |
of these, which one weighed 425kg?
|
[
[
"1",
"Maria",
"g0 +8",
"6045",
"2075",
"+ O MATER ALMA CHRISTI CARISSIMA--"
],
[
"2",
"Carolus",
"h0 +7",
"2900",
"1628",
"HONOR ET CULTUS, QUEM REGALIS"
],
[
"3",
"Johannes Evangelista",
"d1 +8",
"1400",
"1367",
"NASCENTES INTER SOCIAS MECUM ORDINE"
],
[
"4",
"Johannes Baptista",
"e1 +7",
"1225",
"1217",
"JOHANNES BAPTISTA ORA PRO NOBIS."
],
[
"5",
"Leopardus",
"fis1 +3",
"850",
"1078",
"SANCTE LEOPARDE ORA PRO NOBIS ANN"
],
[
"6",
"Stephanus",
"g1 +8",
"715",
"1027",
"SANCTE STEPHANE ORA PRO NOBIS ANN"
],
[
"7",
"Petrus",
"a1 +1",
"425",
"894",
"SANCTE PETRE ORA PRO NOBIS ANNO 1"
],
[
"8",
"Simeon",
"h1 +8",
"290",
"793",
"SANCTE SIMEON JUSTE ET TIMORATE OR"
]
] |
[
"Petrus"
] |
of these, which one weighed 425kg? || what are the names of all the bells?
|
nt-13031
|
col : # | name | strike tone (st-1/16) | weight (kg) | diameter (mm) | inscription row 1 : 1 | maria | g0 +8 | 6045 | 2075 | + o mater alma christi carissima-- row 2 : 2 | carolus | h0 +7 | 2900 | 1628 | honor et cultus, quem regalis row 3 : 3 | johannes evangelista | d1 +8 | 1400 | 1367 | nascentes inter socias mecum ordine row 4 : 4 | johannes baptista | e1 +7 | 1225 | 1217 | johannes baptista ora pro nobis. row 5 : 5 | leopardus | fis1 +3 | 850 | 1078 | sancte leoparde ora pro nobis ann row 6 : 6 | stephanus | g1 +8 | 715 | 1027 | sancte stephane ora pro nobis ann row 7 : 7 | petrus | a1 +1 | 425 | 894 | sancte petre ora pro nobis anno 1 row 8 : 8 | simeon | h1 +8 | 290 | 793 | sancte simeon juste et timorate or
|
table_csv/203_283.csv
| 0 |
{
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1
],
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0,
1,
2,
3,
4,
5,
6,
7
]
}
|
[
"what are the aachen cathedral bells listed?"
] | 1 |
maria, carolus, johannes evangelista, johannes baptista, leopardus, stephanus, petrus, simeon
|
[
"#",
"Name",
"Strike tone (ST-1/16)",
"Weight (kg)",
"Diameter (mm)",
"Inscription"
] |
what are the aachen cathedral bells listed?
|
[
[
"1",
"Maria",
"g0 +8",
"6045",
"2075",
"+ O MATER ALMA CHRISTI CARISSIMA--"
],
[
"2",
"Carolus",
"h0 +7",
"2900",
"1628",
"HONOR ET CULTUS, QUEM REGALIS"
],
[
"3",
"Johannes Evangelista",
"d1 +8",
"1400",
"1367",
"NASCENTES INTER SOCIAS MECUM ORDINE"
],
[
"4",
"Johannes Baptista",
"e1 +7",
"1225",
"1217",
"JOHANNES BAPTISTA ORA PRO NOBIS."
],
[
"5",
"Leopardus",
"fis1 +3",
"850",
"1078",
"SANCTE LEOPARDE ORA PRO NOBIS ANN"
],
[
"6",
"Stephanus",
"g1 +8",
"715",
"1027",
"SANCTE STEPHANE ORA PRO NOBIS ANN"
],
[
"7",
"Petrus",
"a1 +1",
"425",
"894",
"SANCTE PETRE ORA PRO NOBIS ANNO 1"
],
[
"8",
"Simeon",
"h1 +8",
"290",
"793",
"SANCTE SIMEON JUSTE ET TIMORATE OR"
]
] |
[
"Maria",
"Carolus",
"Johannes Evangelista",
"Johannes Baptista",
"Leopardus",
"Stephanus",
"Petrus",
"Simeon"
] |
what are the aachen cathedral bells listed? ||
|
nt-13031
|
col : # | name | strike tone (st-1/16) | weight (kg) | diameter (mm) | inscription row 1 : 1 | maria | g0 +8 | 6045 | 2075 | + o mater alma christi carissima-- row 2 : 2 | carolus | h0 +7 | 2900 | 1628 | honor et cultus, quem regalis row 3 : 3 | johannes evangelista | d1 +8 | 1400 | 1367 | nascentes inter socias mecum ordine row 4 : 4 | johannes baptista | e1 +7 | 1225 | 1217 | johannes baptista ora pro nobis. row 5 : 5 | leopardus | fis1 +3 | 850 | 1078 | sancte leoparde ora pro nobis ann row 6 : 6 | stephanus | g1 +8 | 715 | 1027 | sancte stephane ora pro nobis ann row 7 : 7 | petrus | a1 +1 | 425 | 894 | sancte petre ora pro nobis anno 1 row 8 : 8 | simeon | h1 +8 | 290 | 793 | sancte simeon juste et timorate or
|
table_csv/203_283.csv
| 1 |
{
"column_index": [
1
],
"row_index": [
6
]
}
|
[
"what are the aachen cathedral bells listed?",
"of those which weighs 425 kg?"
] | 1 |
petrus
|
[
"#",
"Name",
"Strike tone (ST-1/16)",
"Weight (kg)",
"Diameter (mm)",
"Inscription"
] |
of those which weighs 425 kg?
|
[
[
"1",
"Maria",
"g0 +8",
"6045",
"2075",
"+ O MATER ALMA CHRISTI CARISSIMA--"
],
[
"2",
"Carolus",
"h0 +7",
"2900",
"1628",
"HONOR ET CULTUS, QUEM REGALIS"
],
[
"3",
"Johannes Evangelista",
"d1 +8",
"1400",
"1367",
"NASCENTES INTER SOCIAS MECUM ORDINE"
],
[
"4",
"Johannes Baptista",
"e1 +7",
"1225",
"1217",
"JOHANNES BAPTISTA ORA PRO NOBIS."
],
[
"5",
"Leopardus",
"fis1 +3",
"850",
"1078",
"SANCTE LEOPARDE ORA PRO NOBIS ANN"
],
[
"6",
"Stephanus",
"g1 +8",
"715",
"1027",
"SANCTE STEPHANE ORA PRO NOBIS ANN"
],
[
"7",
"Petrus",
"a1 +1",
"425",
"894",
"SANCTE PETRE ORA PRO NOBIS ANNO 1"
],
[
"8",
"Simeon",
"h1 +8",
"290",
"793",
"SANCTE SIMEON JUSTE ET TIMORATE OR"
]
] |
[
"Petrus"
] |
of those which weighs 425 kg? || what are the aachen cathedral bells listed?
|
nt-13031
|
col : # | name | strike tone (st-1/16) | weight (kg) | diameter (mm) | inscription row 1 : 1 | maria | g0 +8 | 6045 | 2075 | + o mater alma christi carissima-- row 2 : 2 | carolus | h0 +7 | 2900 | 1628 | honor et cultus, quem regalis row 3 : 3 | johannes evangelista | d1 +8 | 1400 | 1367 | nascentes inter socias mecum ordine row 4 : 4 | johannes baptista | e1 +7 | 1225 | 1217 | johannes baptista ora pro nobis. row 5 : 5 | leopardus | fis1 +3 | 850 | 1078 | sancte leoparde ora pro nobis ann row 6 : 6 | stephanus | g1 +8 | 715 | 1027 | sancte stephane ora pro nobis ann row 7 : 7 | petrus | a1 +1 | 425 | 894 | sancte petre ora pro nobis anno 1 row 8 : 8 | simeon | h1 +8 | 290 | 793 | sancte simeon juste et timorate or
|
table_csv/203_283.csv
| 0 |
{
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
}
|
[
"what is the name of each bell?"
] | 2 |
maria, carolus, johannes evangelista, johannes baptista, leopardus, stephanus, petrus, simeon
|
[
"#",
"Name",
"Strike tone (ST-1/16)",
"Weight (kg)",
"Diameter (mm)",
"Inscription"
] |
what is the name of each bell?
|
[
[
"1",
"Maria",
"g0 +8",
"6045",
"2075",
"+ O MATER ALMA CHRISTI CARISSIMA--"
],
[
"2",
"Carolus",
"h0 +7",
"2900",
"1628",
"HONOR ET CULTUS, QUEM REGALIS"
],
[
"3",
"Johannes Evangelista",
"d1 +8",
"1400",
"1367",
"NASCENTES INTER SOCIAS MECUM ORDINE"
],
[
"4",
"Johannes Baptista",
"e1 +7",
"1225",
"1217",
"JOHANNES BAPTISTA ORA PRO NOBIS."
],
[
"5",
"Leopardus",
"fis1 +3",
"850",
"1078",
"SANCTE LEOPARDE ORA PRO NOBIS ANN"
],
[
"6",
"Stephanus",
"g1 +8",
"715",
"1027",
"SANCTE STEPHANE ORA PRO NOBIS ANN"
],
[
"7",
"Petrus",
"a1 +1",
"425",
"894",
"SANCTE PETRE ORA PRO NOBIS ANNO 1"
],
[
"8",
"Simeon",
"h1 +8",
"290",
"793",
"SANCTE SIMEON JUSTE ET TIMORATE OR"
]
] |
[
"Maria",
"Carolus",
"Johannes Evangelista",
"Johannes Baptista",
"Leopardus",
"Stephanus",
"Petrus",
"Simeon"
] |
what is the name of each bell? ||
|
nt-13031
|
col : # | name | strike tone (st-1/16) | weight (kg) | diameter (mm) | inscription row 1 : 1 | maria | g0 +8 | 6045 | 2075 | + o mater alma christi carissima-- row 2 : 2 | carolus | h0 +7 | 2900 | 1628 | honor et cultus, quem regalis row 3 : 3 | johannes evangelista | d1 +8 | 1400 | 1367 | nascentes inter socias mecum ordine row 4 : 4 | johannes baptista | e1 +7 | 1225 | 1217 | johannes baptista ora pro nobis. row 5 : 5 | leopardus | fis1 +3 | 850 | 1078 | sancte leoparde ora pro nobis ann row 6 : 6 | stephanus | g1 +8 | 715 | 1027 | sancte stephane ora pro nobis ann row 7 : 7 | petrus | a1 +1 | 425 | 894 | sancte petre ora pro nobis anno 1 row 8 : 8 | simeon | h1 +8 | 290 | 793 | sancte simeon juste et timorate or
|
table_csv/203_283.csv
| 1 |
{
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3,
3,
3,
3,
3,
3,
3,
3
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
}
|
[
"what is the name of each bell?",
"how much do they weigh?"
] | 2 |
6045, 2900, 1400, 1225, 850, 715, 425, 290
|
[
"#",
"Name",
"Strike tone (ST-1/16)",
"Weight (kg)",
"Diameter (mm)",
"Inscription"
] |
how much do they weigh?
|
[
[
"1",
"Maria",
"g0 +8",
"6045",
"2075",
"+ O MATER ALMA CHRISTI CARISSIMA--"
],
[
"2",
"Carolus",
"h0 +7",
"2900",
"1628",
"HONOR ET CULTUS, QUEM REGALIS"
],
[
"3",
"Johannes Evangelista",
"d1 +8",
"1400",
"1367",
"NASCENTES INTER SOCIAS MECUM ORDINE"
],
[
"4",
"Johannes Baptista",
"e1 +7",
"1225",
"1217",
"JOHANNES BAPTISTA ORA PRO NOBIS."
],
[
"5",
"Leopardus",
"fis1 +3",
"850",
"1078",
"SANCTE LEOPARDE ORA PRO NOBIS ANN"
],
[
"6",
"Stephanus",
"g1 +8",
"715",
"1027",
"SANCTE STEPHANE ORA PRO NOBIS ANN"
],
[
"7",
"Petrus",
"a1 +1",
"425",
"894",
"SANCTE PETRE ORA PRO NOBIS ANNO 1"
],
[
"8",
"Simeon",
"h1 +8",
"290",
"793",
"SANCTE SIMEON JUSTE ET TIMORATE OR"
]
] |
[
"6045",
"2900",
"1400",
"1225",
"850",
"715",
"425",
"290"
] |
how much do they weigh? || what is the name of each bell?
|
nt-13031
|
col : # | name | strike tone (st-1/16) | weight (kg) | diameter (mm) | inscription row 1 : 1 | maria | g0 +8 | 6045 | 2075 | + o mater alma christi carissima-- row 2 : 2 | carolus | h0 +7 | 2900 | 1628 | honor et cultus, quem regalis row 3 : 3 | johannes evangelista | d1 +8 | 1400 | 1367 | nascentes inter socias mecum ordine row 4 : 4 | johannes baptista | e1 +7 | 1225 | 1217 | johannes baptista ora pro nobis. row 5 : 5 | leopardus | fis1 +3 | 850 | 1078 | sancte leoparde ora pro nobis ann row 6 : 6 | stephanus | g1 +8 | 715 | 1027 | sancte stephane ora pro nobis ann row 7 : 7 | petrus | a1 +1 | 425 | 894 | sancte petre ora pro nobis anno 1 row 8 : 8 | simeon | h1 +8 | 290 | 793 | sancte simeon juste et timorate or
|
table_csv/203_283.csv
| 2 |
{
"column_index": [
1
],
"row_index": [
6
]
}
|
[
"what is the name of each bell?",
"how much do they weigh?",
"and which bell weighs 425 kg?"
] | 2 |
petrus
|
[
"#",
"Name",
"Strike tone (ST-1/16)",
"Weight (kg)",
"Diameter (mm)",
"Inscription"
] |
and which bell weighs 425 kg?
|
[
[
"1",
"Maria",
"g0 +8",
"6045",
"2075",
"+ O MATER ALMA CHRISTI CARISSIMA--"
],
[
"2",
"Carolus",
"h0 +7",
"2900",
"1628",
"HONOR ET CULTUS, QUEM REGALIS"
],
[
"3",
"Johannes Evangelista",
"d1 +8",
"1400",
"1367",
"NASCENTES INTER SOCIAS MECUM ORDINE"
],
[
"4",
"Johannes Baptista",
"e1 +7",
"1225",
"1217",
"JOHANNES BAPTISTA ORA PRO NOBIS."
],
[
"5",
"Leopardus",
"fis1 +3",
"850",
"1078",
"SANCTE LEOPARDE ORA PRO NOBIS ANN"
],
[
"6",
"Stephanus",
"g1 +8",
"715",
"1027",
"SANCTE STEPHANE ORA PRO NOBIS ANN"
],
[
"7",
"Petrus",
"a1 +1",
"425",
"894",
"SANCTE PETRE ORA PRO NOBIS ANNO 1"
],
[
"8",
"Simeon",
"h1 +8",
"290",
"793",
"SANCTE SIMEON JUSTE ET TIMORATE OR"
]
] |
[
"Petrus"
] |
and which bell weighs 425 kg? || how much do they weigh? | what is the name of each bell?
|
ns-2532
|
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
|
table_csv/203_592.csv
| 0 |
{
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
}
|
[
"what are all of the schools?"
] | 0 |
brown university, columbia university, cornell university, dartmouth college, harvard university, princeton university, university of pennsylvania, yale university
|
[
"Institution",
"Location",
"Athletic nickname",
"Undergraduate enrollment",
"Graduate enrollment",
"Total enrollment",
"2013 Endowment (and US rank)",
"Academic staff",
"Motto"
] |
what are all of the schools?
|
[
[
"Brown University",
"Providence, Rhode Island",
"Bears",
"6,316",
"2,333",
"8,649",
"$2.7 billion (30th)",
"736",
"In Deo Speramus (In God We Hope)"
],
[
"Columbia University",
"New York, New York",
"Lions",
"7,160",
"15,760",
"22,920",
"$8.2 billion (9th)",
"3,763",
"In lumine Tuo videbimus lumen (In Th"
],
[
"Cornell University",
"Ithaca, New York",
"Big Red",
"13,931",
"6,702",
"20,633",
"$5.3 billion (18th)",
"2,908",
"I would found an institution where any person can find instruction in any study."
],
[
"Dartmouth College",
"Hanover, New Hampshire",
"Big Green",
"4,248",
"1,893",
"6,141",
"$3.7 billion (22nd)",
"571",
"Vox clamantis in deserto (The voice of one crying"
],
[
"Harvard University",
"Cambridge, Massachusetts",
"Crimson",
"7,181",
"14,044",
"21,225",
"$32.3 billion (1st)",
"4,671",
"Veritas (Truth)"
],
[
"Princeton University",
"Princeton, New Jersey",
"Tigers",
"5,113",
"2,479",
"7,592",
"$18.2 billion (5th)",
"1,172",
"Dei sub numine viget (Under God's power she"
],
[
"University of Pennsylvania",
"Philadelphia, Pennsylvania",
"Quakers",
"10,337",
"10,306",
"20,643",
"$7.7 billion (11th)",
"4,464",
"Leges sine moribus vanae (Laws without moral"
],
[
"Yale University",
"New Haven, Connecticut",
"Bulldogs",
"5,275",
"6,391",
"11,666",
"$20.8 billion (2nd)",
"4,140",
"vrym vtvmym Lux et ver"
]
] |
[
"Brown University",
"Columbia University",
"Cornell University",
"Dartmouth College",
"Harvard University",
"Princeton University",
"University of Pennsylvania",
"Yale University"
] |
what are all of the schools? ||
|
ns-2532
|
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
|
table_csv/203_592.csv
| 1 |
{
"column_index": [
5,
5,
5,
5,
5,
5,
5,
5
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
}
|
[
"what are all of the schools?",
"and their enrollment?"
] | 0 |
8,649, 22,920, 20,633, 6,141, 21,225, 7,592, 20,643, 11,666
|
[
"Institution",
"Location",
"Athletic nickname",
"Undergraduate enrollment",
"Graduate enrollment",
"Total enrollment",
"2013 Endowment (and US rank)",
"Academic staff",
"Motto"
] |
and their enrollment?
|
[
[
"Brown University",
"Providence, Rhode Island",
"Bears",
"6,316",
"2,333",
"8,649",
"$2.7 billion (30th)",
"736",
"In Deo Speramus (In God We Hope)"
],
[
"Columbia University",
"New York, New York",
"Lions",
"7,160",
"15,760",
"22,920",
"$8.2 billion (9th)",
"3,763",
"In lumine Tuo videbimus lumen (In Th"
],
[
"Cornell University",
"Ithaca, New York",
"Big Red",
"13,931",
"6,702",
"20,633",
"$5.3 billion (18th)",
"2,908",
"I would found an institution where any person can find instruction in any study."
],
[
"Dartmouth College",
"Hanover, New Hampshire",
"Big Green",
"4,248",
"1,893",
"6,141",
"$3.7 billion (22nd)",
"571",
"Vox clamantis in deserto (The voice of one crying"
],
[
"Harvard University",
"Cambridge, Massachusetts",
"Crimson",
"7,181",
"14,044",
"21,225",
"$32.3 billion (1st)",
"4,671",
"Veritas (Truth)"
],
[
"Princeton University",
"Princeton, New Jersey",
"Tigers",
"5,113",
"2,479",
"7,592",
"$18.2 billion (5th)",
"1,172",
"Dei sub numine viget (Under God's power she"
],
[
"University of Pennsylvania",
"Philadelphia, Pennsylvania",
"Quakers",
"10,337",
"10,306",
"20,643",
"$7.7 billion (11th)",
"4,464",
"Leges sine moribus vanae (Laws without moral"
],
[
"Yale University",
"New Haven, Connecticut",
"Bulldogs",
"5,275",
"6,391",
"11,666",
"$20.8 billion (2nd)",
"4,140",
"vrym vtvmym Lux et ver"
]
] |
[
"8,649",
"22,920",
"20,633",
"6,141",
"21,225",
"7,592",
"20,643",
"11,666"
] |
and their enrollment? || what are all of the schools?
|
ns-2532
|
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
|
table_csv/203_592.csv
| 2 |
{
"column_index": [
5
],
"row_index": [
3
]
}
|
[
"what are all of the schools?",
"and their enrollment?",
"what about just for dartmouth college?"
] | 0 |
6,141
|
[
"Institution",
"Location",
"Athletic nickname",
"Undergraduate enrollment",
"Graduate enrollment",
"Total enrollment",
"2013 Endowment (and US rank)",
"Academic staff",
"Motto"
] |
what about just for dartmouth college?
|
[
[
"Brown University",
"Providence, Rhode Island",
"Bears",
"6,316",
"2,333",
"8,649",
"$2.7 billion (30th)",
"736",
"In Deo Speramus (In God We Hope)"
],
[
"Columbia University",
"New York, New York",
"Lions",
"7,160",
"15,760",
"22,920",
"$8.2 billion (9th)",
"3,763",
"In lumine Tuo videbimus lumen (In Th"
],
[
"Cornell University",
"Ithaca, New York",
"Big Red",
"13,931",
"6,702",
"20,633",
"$5.3 billion (18th)",
"2,908",
"I would found an institution where any person can find instruction in any study."
],
[
"Dartmouth College",
"Hanover, New Hampshire",
"Big Green",
"4,248",
"1,893",
"6,141",
"$3.7 billion (22nd)",
"571",
"Vox clamantis in deserto (The voice of one crying"
],
[
"Harvard University",
"Cambridge, Massachusetts",
"Crimson",
"7,181",
"14,044",
"21,225",
"$32.3 billion (1st)",
"4,671",
"Veritas (Truth)"
],
[
"Princeton University",
"Princeton, New Jersey",
"Tigers",
"5,113",
"2,479",
"7,592",
"$18.2 billion (5th)",
"1,172",
"Dei sub numine viget (Under God's power she"
],
[
"University of Pennsylvania",
"Philadelphia, Pennsylvania",
"Quakers",
"10,337",
"10,306",
"20,643",
"$7.7 billion (11th)",
"4,464",
"Leges sine moribus vanae (Laws without moral"
],
[
"Yale University",
"New Haven, Connecticut",
"Bulldogs",
"5,275",
"6,391",
"11,666",
"$20.8 billion (2nd)",
"4,140",
"vrym vtvmym Lux et ver"
]
] |
[
"6,141"
] |
what about just for dartmouth college? || and their enrollment? | what are all of the schools?
|
ns-2532
|
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
|
table_csv/203_592.csv
| 0 |
{
"column_index": [
4
],
"row_index": [
3
]
}
|
[
"how many graduate students are enrolled at dartmouth?"
] | 1 |
1,893
|
[
"Institution",
"Location",
"Athletic nickname",
"Undergraduate enrollment",
"Graduate enrollment",
"Total enrollment",
"2013 Endowment (and US rank)",
"Academic staff",
"Motto"
] |
how many graduate students are enrolled at dartmouth?
|
[
[
"Brown University",
"Providence, Rhode Island",
"Bears",
"6,316",
"2,333",
"8,649",
"$2.7 billion (30th)",
"736",
"In Deo Speramus (In God We Hope)"
],
[
"Columbia University",
"New York, New York",
"Lions",
"7,160",
"15,760",
"22,920",
"$8.2 billion (9th)",
"3,763",
"In lumine Tuo videbimus lumen (In Th"
],
[
"Cornell University",
"Ithaca, New York",
"Big Red",
"13,931",
"6,702",
"20,633",
"$5.3 billion (18th)",
"2,908",
"I would found an institution where any person can find instruction in any study."
],
[
"Dartmouth College",
"Hanover, New Hampshire",
"Big Green",
"4,248",
"1,893",
"6,141",
"$3.7 billion (22nd)",
"571",
"Vox clamantis in deserto (The voice of one crying"
],
[
"Harvard University",
"Cambridge, Massachusetts",
"Crimson",
"7,181",
"14,044",
"21,225",
"$32.3 billion (1st)",
"4,671",
"Veritas (Truth)"
],
[
"Princeton University",
"Princeton, New Jersey",
"Tigers",
"5,113",
"2,479",
"7,592",
"$18.2 billion (5th)",
"1,172",
"Dei sub numine viget (Under God's power she"
],
[
"University of Pennsylvania",
"Philadelphia, Pennsylvania",
"Quakers",
"10,337",
"10,306",
"20,643",
"$7.7 billion (11th)",
"4,464",
"Leges sine moribus vanae (Laws without moral"
],
[
"Yale University",
"New Haven, Connecticut",
"Bulldogs",
"5,275",
"6,391",
"11,666",
"$20.8 billion (2nd)",
"4,140",
"vrym vtvmym Lux et ver"
]
] |
[
"1,893"
] |
how many graduate students are enrolled at dartmouth? ||
|
ns-2532
|
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
|
table_csv/203_592.csv
| 1 |
{
"column_index": [
3
],
"row_index": [
3
]
}
|
[
"how many graduate students are enrolled at dartmouth?",
"how many undergraduate students are at dartmouth?"
] | 1 |
4,248
|
[
"Institution",
"Location",
"Athletic nickname",
"Undergraduate enrollment",
"Graduate enrollment",
"Total enrollment",
"2013 Endowment (and US rank)",
"Academic staff",
"Motto"
] |
how many undergraduate students are at dartmouth?
|
[
[
"Brown University",
"Providence, Rhode Island",
"Bears",
"6,316",
"2,333",
"8,649",
"$2.7 billion (30th)",
"736",
"In Deo Speramus (In God We Hope)"
],
[
"Columbia University",
"New York, New York",
"Lions",
"7,160",
"15,760",
"22,920",
"$8.2 billion (9th)",
"3,763",
"In lumine Tuo videbimus lumen (In Th"
],
[
"Cornell University",
"Ithaca, New York",
"Big Red",
"13,931",
"6,702",
"20,633",
"$5.3 billion (18th)",
"2,908",
"I would found an institution where any person can find instruction in any study."
],
[
"Dartmouth College",
"Hanover, New Hampshire",
"Big Green",
"4,248",
"1,893",
"6,141",
"$3.7 billion (22nd)",
"571",
"Vox clamantis in deserto (The voice of one crying"
],
[
"Harvard University",
"Cambridge, Massachusetts",
"Crimson",
"7,181",
"14,044",
"21,225",
"$32.3 billion (1st)",
"4,671",
"Veritas (Truth)"
],
[
"Princeton University",
"Princeton, New Jersey",
"Tigers",
"5,113",
"2,479",
"7,592",
"$18.2 billion (5th)",
"1,172",
"Dei sub numine viget (Under God's power she"
],
[
"University of Pennsylvania",
"Philadelphia, Pennsylvania",
"Quakers",
"10,337",
"10,306",
"20,643",
"$7.7 billion (11th)",
"4,464",
"Leges sine moribus vanae (Laws without moral"
],
[
"Yale University",
"New Haven, Connecticut",
"Bulldogs",
"5,275",
"6,391",
"11,666",
"$20.8 billion (2nd)",
"4,140",
"vrym vtvmym Lux et ver"
]
] |
[
"4,248"
] |
how many undergraduate students are at dartmouth? || how many graduate students are enrolled at dartmouth?
|
ns-2532
|
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
|
table_csv/203_592.csv
| 2 |
{
"column_index": [
5
],
"row_index": [
3
]
}
|
[
"how many graduate students are enrolled at dartmouth?",
"how many undergraduate students are at dartmouth?",
"how many total are enrolled?"
] | 1 |
6,141
|
[
"Institution",
"Location",
"Athletic nickname",
"Undergraduate enrollment",
"Graduate enrollment",
"Total enrollment",
"2013 Endowment (and US rank)",
"Academic staff",
"Motto"
] |
how many total are enrolled?
|
[
[
"Brown University",
"Providence, Rhode Island",
"Bears",
"6,316",
"2,333",
"8,649",
"$2.7 billion (30th)",
"736",
"In Deo Speramus (In God We Hope)"
],
[
"Columbia University",
"New York, New York",
"Lions",
"7,160",
"15,760",
"22,920",
"$8.2 billion (9th)",
"3,763",
"In lumine Tuo videbimus lumen (In Th"
],
[
"Cornell University",
"Ithaca, New York",
"Big Red",
"13,931",
"6,702",
"20,633",
"$5.3 billion (18th)",
"2,908",
"I would found an institution where any person can find instruction in any study."
],
[
"Dartmouth College",
"Hanover, New Hampshire",
"Big Green",
"4,248",
"1,893",
"6,141",
"$3.7 billion (22nd)",
"571",
"Vox clamantis in deserto (The voice of one crying"
],
[
"Harvard University",
"Cambridge, Massachusetts",
"Crimson",
"7,181",
"14,044",
"21,225",
"$32.3 billion (1st)",
"4,671",
"Veritas (Truth)"
],
[
"Princeton University",
"Princeton, New Jersey",
"Tigers",
"5,113",
"2,479",
"7,592",
"$18.2 billion (5th)",
"1,172",
"Dei sub numine viget (Under God's power she"
],
[
"University of Pennsylvania",
"Philadelphia, Pennsylvania",
"Quakers",
"10,337",
"10,306",
"20,643",
"$7.7 billion (11th)",
"4,464",
"Leges sine moribus vanae (Laws without moral"
],
[
"Yale University",
"New Haven, Connecticut",
"Bulldogs",
"5,275",
"6,391",
"11,666",
"$20.8 billion (2nd)",
"4,140",
"vrym vtvmym Lux et ver"
]
] |
[
"6,141"
] |
how many total are enrolled? || how many undergraduate students are at dartmouth? | how many graduate students are enrolled at dartmouth?
|
ns-2532
|
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
|
table_csv/203_592.csv
| 0 |
{
"column_index": [
3
],
"row_index": [
3
]
}
|
[
"how many undergraduate students are enrolled at dartmouth?"
] | 2 |
4,248
|
[
"Institution",
"Location",
"Athletic nickname",
"Undergraduate enrollment",
"Graduate enrollment",
"Total enrollment",
"2013 Endowment (and US rank)",
"Academic staff",
"Motto"
] |
how many undergraduate students are enrolled at dartmouth?
|
[
[
"Brown University",
"Providence, Rhode Island",
"Bears",
"6,316",
"2,333",
"8,649",
"$2.7 billion (30th)",
"736",
"In Deo Speramus (In God We Hope)"
],
[
"Columbia University",
"New York, New York",
"Lions",
"7,160",
"15,760",
"22,920",
"$8.2 billion (9th)",
"3,763",
"In lumine Tuo videbimus lumen (In Th"
],
[
"Cornell University",
"Ithaca, New York",
"Big Red",
"13,931",
"6,702",
"20,633",
"$5.3 billion (18th)",
"2,908",
"I would found an institution where any person can find instruction in any study."
],
[
"Dartmouth College",
"Hanover, New Hampshire",
"Big Green",
"4,248",
"1,893",
"6,141",
"$3.7 billion (22nd)",
"571",
"Vox clamantis in deserto (The voice of one crying"
],
[
"Harvard University",
"Cambridge, Massachusetts",
"Crimson",
"7,181",
"14,044",
"21,225",
"$32.3 billion (1st)",
"4,671",
"Veritas (Truth)"
],
[
"Princeton University",
"Princeton, New Jersey",
"Tigers",
"5,113",
"2,479",
"7,592",
"$18.2 billion (5th)",
"1,172",
"Dei sub numine viget (Under God's power she"
],
[
"University of Pennsylvania",
"Philadelphia, Pennsylvania",
"Quakers",
"10,337",
"10,306",
"20,643",
"$7.7 billion (11th)",
"4,464",
"Leges sine moribus vanae (Laws without moral"
],
[
"Yale University",
"New Haven, Connecticut",
"Bulldogs",
"5,275",
"6,391",
"11,666",
"$20.8 billion (2nd)",
"4,140",
"vrym vtvmym Lux et ver"
]
] |
[
"4,248"
] |
how many undergraduate students are enrolled at dartmouth? ||
|
ns-2532
|
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
|
table_csv/203_592.csv
| 1 |
{
"column_index": [
4
],
"row_index": [
3
]
}
|
[
"how many undergraduate students are enrolled at dartmouth?",
"how many graduate students are enrolled at dartmouth?"
] | 2 |
1,893
|
[
"Institution",
"Location",
"Athletic nickname",
"Undergraduate enrollment",
"Graduate enrollment",
"Total enrollment",
"2013 Endowment (and US rank)",
"Academic staff",
"Motto"
] |
how many graduate students are enrolled at dartmouth?
|
[
[
"Brown University",
"Providence, Rhode Island",
"Bears",
"6,316",
"2,333",
"8,649",
"$2.7 billion (30th)",
"736",
"In Deo Speramus (In God We Hope)"
],
[
"Columbia University",
"New York, New York",
"Lions",
"7,160",
"15,760",
"22,920",
"$8.2 billion (9th)",
"3,763",
"In lumine Tuo videbimus lumen (In Th"
],
[
"Cornell University",
"Ithaca, New York",
"Big Red",
"13,931",
"6,702",
"20,633",
"$5.3 billion (18th)",
"2,908",
"I would found an institution where any person can find instruction in any study."
],
[
"Dartmouth College",
"Hanover, New Hampshire",
"Big Green",
"4,248",
"1,893",
"6,141",
"$3.7 billion (22nd)",
"571",
"Vox clamantis in deserto (The voice of one crying"
],
[
"Harvard University",
"Cambridge, Massachusetts",
"Crimson",
"7,181",
"14,044",
"21,225",
"$32.3 billion (1st)",
"4,671",
"Veritas (Truth)"
],
[
"Princeton University",
"Princeton, New Jersey",
"Tigers",
"5,113",
"2,479",
"7,592",
"$18.2 billion (5th)",
"1,172",
"Dei sub numine viget (Under God's power she"
],
[
"University of Pennsylvania",
"Philadelphia, Pennsylvania",
"Quakers",
"10,337",
"10,306",
"20,643",
"$7.7 billion (11th)",
"4,464",
"Leges sine moribus vanae (Laws without moral"
],
[
"Yale University",
"New Haven, Connecticut",
"Bulldogs",
"5,275",
"6,391",
"11,666",
"$20.8 billion (2nd)",
"4,140",
"vrym vtvmym Lux et ver"
]
] |
[
"1,893"
] |
how many graduate students are enrolled at dartmouth? || how many undergraduate students are enrolled at dartmouth?
|
ns-2532
|
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
|
table_csv/203_592.csv
| 2 |
{
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5
],
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3
]
}
|
[
"how many undergraduate students are enrolled at dartmouth?",
"how many graduate students are enrolled at dartmouth?",
"what is the total number of students enrolled at dartmouth?"
] | 2 |
6,141
|
[
"Institution",
"Location",
"Athletic nickname",
"Undergraduate enrollment",
"Graduate enrollment",
"Total enrollment",
"2013 Endowment (and US rank)",
"Academic staff",
"Motto"
] |
what is the total number of students enrolled at dartmouth?
|
[
[
"Brown University",
"Providence, Rhode Island",
"Bears",
"6,316",
"2,333",
"8,649",
"$2.7 billion (30th)",
"736",
"In Deo Speramus (In God We Hope)"
],
[
"Columbia University",
"New York, New York",
"Lions",
"7,160",
"15,760",
"22,920",
"$8.2 billion (9th)",
"3,763",
"In lumine Tuo videbimus lumen (In Th"
],
[
"Cornell University",
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"20,633",
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"2,908",
"I would found an institution where any person can find instruction in any study."
],
[
"Dartmouth College",
"Hanover, New Hampshire",
"Big Green",
"4,248",
"1,893",
"6,141",
"$3.7 billion (22nd)",
"571",
"Vox clamantis in deserto (The voice of one crying"
],
[
"Harvard University",
"Cambridge, Massachusetts",
"Crimson",
"7,181",
"14,044",
"21,225",
"$32.3 billion (1st)",
"4,671",
"Veritas (Truth)"
],
[
"Princeton University",
"Princeton, New Jersey",
"Tigers",
"5,113",
"2,479",
"7,592",
"$18.2 billion (5th)",
"1,172",
"Dei sub numine viget (Under God's power she"
],
[
"University of Pennsylvania",
"Philadelphia, Pennsylvania",
"Quakers",
"10,337",
"10,306",
"20,643",
"$7.7 billion (11th)",
"4,464",
"Leges sine moribus vanae (Laws without moral"
],
[
"Yale University",
"New Haven, Connecticut",
"Bulldogs",
"5,275",
"6,391",
"11,666",
"$20.8 billion (2nd)",
"4,140",
"vrym vtvmym Lux et ver"
]
] |
[
"6,141"
] |
what is the total number of students enrolled at dartmouth? || how many graduate students are enrolled at dartmouth? | how many undergraduate students are enrolled at dartmouth?
|
nt-3880
|
col : place | code | area (km2) | population | most spoken language row 1 : beatrix mine | 40701 | 0.17 | 2,492 | sotho row 2 : boipatong | 40702 | 0.31 | 1,501 | sotho row 3 : brandfort | 40703 | 3.20 | 1,516 | afrikaans row 4 : fora | 40704 | 0.05 | 530 | sotho row 5 : ikgomotseng | 40705 | 1.07 | 2,254 | tswana row 6 : joel mine | 40706 | 0.11 | 728 | sotho row 7 : lusaka | 40707 | 1.40 | 6,110 | sotho row 8 : majwemasweu | 40708 | 2.50 | 10,328 | sotho row 9 : makeleketla | 40709 | 1.35 | 6,629 | sotho row 10 : masilo | 40710 | 3.02 | 14,903 | sotho row 11 : star diamond mine | 40712 | 0.11 | 212 | sotho row 12 : theunissen | 40713 | 15.11 | 1,667 | afrikaans row 13 : tshepong | 40714 | 0.54 | 1,710 | sotho row 14 : verkeerdevlei | 40715 | 1.22 | 151 | afrikaans row 15 : winburg | 40716 | 70.22 | 3,371 | sotho row 16 : remainder of the municipality | 40711 | 6,696.44 | 10,304 | sotho
|
table_csv/204_64.csv
| 0 |
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|
[
"what are the places in the masilonyana local municipality?"
] | 0 |
beatrix mine, boipatong, brandfort, fora, ikgomotseng, joel mine, lusaka, majwemasweu, makeleketla, masilo, star diamond mine, theunissen, tshepong, verkeerdevlei, winburg
|
[
"Place",
"Code",
"Area (km2)",
"Population",
"Most spoken language"
] |
what are the places in the masilonyana local municipality?
|
[
[
"Beatrix Mine",
"40701",
"0.17",
"2,492",
"Sotho"
],
[
"Boipatong",
"40702",
"0.31",
"1,501",
"Sotho"
],
[
"Brandfort",
"40703",
"3.20",
"1,516",
"Afrikaans"
],
[
"Fora",
"40704",
"0.05",
"530",
"Sotho"
],
[
"Ikgomotseng",
"40705",
"1.07",
"2,254",
"Tswana"
],
[
"Joel Mine",
"40706",
"0.11",
"728",
"Sotho"
],
[
"Lusaka",
"40707",
"1.40",
"6,110",
"Sotho"
],
[
"Majwemasweu",
"40708",
"2.50",
"10,328",
"Sotho"
],
[
"Makeleketla",
"40709",
"1.35",
"6,629",
"Sotho"
],
[
"Masilo",
"40710",
"3.02",
"14,903",
"Sotho"
],
[
"Star Diamond Mine",
"40712",
"0.11",
"212",
"Sotho"
],
[
"Theunissen",
"40713",
"15.11",
"1,667",
"Afrikaans"
],
[
"Tshepong",
"40714",
"0.54",
"1,710",
"Sotho"
],
[
"Verkeerdevlei",
"40715",
"1.22",
"151",
"Afrikaans"
],
[
"Winburg",
"40716",
"70.22",
"3,371",
"Sotho"
],
[
"Remainder of the municipality",
"40711",
"6,696.44",
"10,304",
"Sotho"
]
] |
[
"Beatrix Mine",
"Boipatong",
"Brandfort",
"Fora",
"Ikgomotseng",
"Joel Mine",
"Lusaka",
"Majwemasweu",
"Makeleketla",
"Masilo",
"Star Diamond Mine",
"Theunissen",
"Tshepong",
"Verkeerdevlei",
"Winburg"
] |
what are the places in the masilonyana local municipality? ||
|
nt-3880
|
col : place | code | area (km2) | population | most spoken language row 1 : beatrix mine | 40701 | 0.17 | 2,492 | sotho row 2 : boipatong | 40702 | 0.31 | 1,501 | sotho row 3 : brandfort | 40703 | 3.20 | 1,516 | afrikaans row 4 : fora | 40704 | 0.05 | 530 | sotho row 5 : ikgomotseng | 40705 | 1.07 | 2,254 | tswana row 6 : joel mine | 40706 | 0.11 | 728 | sotho row 7 : lusaka | 40707 | 1.40 | 6,110 | sotho row 8 : majwemasweu | 40708 | 2.50 | 10,328 | sotho row 9 : makeleketla | 40709 | 1.35 | 6,629 | sotho row 10 : masilo | 40710 | 3.02 | 14,903 | sotho row 11 : star diamond mine | 40712 | 0.11 | 212 | sotho row 12 : theunissen | 40713 | 15.11 | 1,667 | afrikaans row 13 : tshepong | 40714 | 0.54 | 1,710 | sotho row 14 : verkeerdevlei | 40715 | 1.22 | 151 | afrikaans row 15 : winburg | 40716 | 70.22 | 3,371 | sotho row 16 : remainder of the municipality | 40711 | 6,696.44 | 10,304 | sotho
|
table_csv/204_64.csv
| 1 |
{
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0,
0,
0
],
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2,
11,
13
]
}
|
[
"what are the places in the masilonyana local municipality?",
"of these which speak afrikaans?"
] | 0 |
brandfort, theunissen, verkeerdevlei
|
[
"Place",
"Code",
"Area (km2)",
"Population",
"Most spoken language"
] |
of these which speak afrikaans?
|
[
[
"Beatrix Mine",
"40701",
"0.17",
"2,492",
"Sotho"
],
[
"Boipatong",
"40702",
"0.31",
"1,501",
"Sotho"
],
[
"Brandfort",
"40703",
"3.20",
"1,516",
"Afrikaans"
],
[
"Fora",
"40704",
"0.05",
"530",
"Sotho"
],
[
"Ikgomotseng",
"40705",
"1.07",
"2,254",
"Tswana"
],
[
"Joel Mine",
"40706",
"0.11",
"728",
"Sotho"
],
[
"Lusaka",
"40707",
"1.40",
"6,110",
"Sotho"
],
[
"Majwemasweu",
"40708",
"2.50",
"10,328",
"Sotho"
],
[
"Makeleketla",
"40709",
"1.35",
"6,629",
"Sotho"
],
[
"Masilo",
"40710",
"3.02",
"14,903",
"Sotho"
],
[
"Star Diamond Mine",
"40712",
"0.11",
"212",
"Sotho"
],
[
"Theunissen",
"40713",
"15.11",
"1,667",
"Afrikaans"
],
[
"Tshepong",
"40714",
"0.54",
"1,710",
"Sotho"
],
[
"Verkeerdevlei",
"40715",
"1.22",
"151",
"Afrikaans"
],
[
"Winburg",
"40716",
"70.22",
"3,371",
"Sotho"
],
[
"Remainder of the municipality",
"40711",
"6,696.44",
"10,304",
"Sotho"
]
] |
[
"Brandfort",
"Theunissen",
"Verkeerdevlei"
] |
of these which speak afrikaans? || what are the places in the masilonyana local municipality?
|
nt-3880
|
col : place | code | area (km2) | population | most spoken language row 1 : beatrix mine | 40701 | 0.17 | 2,492 | sotho row 2 : boipatong | 40702 | 0.31 | 1,501 | sotho row 3 : brandfort | 40703 | 3.20 | 1,516 | afrikaans row 4 : fora | 40704 | 0.05 | 530 | sotho row 5 : ikgomotseng | 40705 | 1.07 | 2,254 | tswana row 6 : joel mine | 40706 | 0.11 | 728 | sotho row 7 : lusaka | 40707 | 1.40 | 6,110 | sotho row 8 : majwemasweu | 40708 | 2.50 | 10,328 | sotho row 9 : makeleketla | 40709 | 1.35 | 6,629 | sotho row 10 : masilo | 40710 | 3.02 | 14,903 | sotho row 11 : star diamond mine | 40712 | 0.11 | 212 | sotho row 12 : theunissen | 40713 | 15.11 | 1,667 | afrikaans row 13 : tshepong | 40714 | 0.54 | 1,710 | sotho row 14 : verkeerdevlei | 40715 | 1.22 | 151 | afrikaans row 15 : winburg | 40716 | 70.22 | 3,371 | sotho row 16 : remainder of the municipality | 40711 | 6,696.44 | 10,304 | sotho
|
table_csv/204_64.csv
| 2 |
{
"column_index": [
0
],
"row_index": [
11
]
}
|
[
"what are the places in the masilonyana local municipality?",
"of these which speak afrikaans?",
"which of these 3 has the largest area?"
] | 0 |
theunissen
|
[
"Place",
"Code",
"Area (km2)",
"Population",
"Most spoken language"
] |
which of these 3 has the largest area?
|
[
[
"Beatrix Mine",
"40701",
"0.17",
"2,492",
"Sotho"
],
[
"Boipatong",
"40702",
"0.31",
"1,501",
"Sotho"
],
[
"Brandfort",
"40703",
"3.20",
"1,516",
"Afrikaans"
],
[
"Fora",
"40704",
"0.05",
"530",
"Sotho"
],
[
"Ikgomotseng",
"40705",
"1.07",
"2,254",
"Tswana"
],
[
"Joel Mine",
"40706",
"0.11",
"728",
"Sotho"
],
[
"Lusaka",
"40707",
"1.40",
"6,110",
"Sotho"
],
[
"Majwemasweu",
"40708",
"2.50",
"10,328",
"Sotho"
],
[
"Makeleketla",
"40709",
"1.35",
"6,629",
"Sotho"
],
[
"Masilo",
"40710",
"3.02",
"14,903",
"Sotho"
],
[
"Star Diamond Mine",
"40712",
"0.11",
"212",
"Sotho"
],
[
"Theunissen",
"40713",
"15.11",
"1,667",
"Afrikaans"
],
[
"Tshepong",
"40714",
"0.54",
"1,710",
"Sotho"
],
[
"Verkeerdevlei",
"40715",
"1.22",
"151",
"Afrikaans"
],
[
"Winburg",
"40716",
"70.22",
"3,371",
"Sotho"
],
[
"Remainder of the municipality",
"40711",
"6,696.44",
"10,304",
"Sotho"
]
] |
[
"Theunissen"
] |
which of these 3 has the largest area? || of these which speak afrikaans? | what are the places in the masilonyana local municipality?
|
nt-3880
|
col : place | code | area (km2) | population | most spoken language row 1 : beatrix mine | 40701 | 0.17 | 2,492 | sotho row 2 : boipatong | 40702 | 0.31 | 1,501 | sotho row 3 : brandfort | 40703 | 3.20 | 1,516 | afrikaans row 4 : fora | 40704 | 0.05 | 530 | sotho row 5 : ikgomotseng | 40705 | 1.07 | 2,254 | tswana row 6 : joel mine | 40706 | 0.11 | 728 | sotho row 7 : lusaka | 40707 | 1.40 | 6,110 | sotho row 8 : majwemasweu | 40708 | 2.50 | 10,328 | sotho row 9 : makeleketla | 40709 | 1.35 | 6,629 | sotho row 10 : masilo | 40710 | 3.02 | 14,903 | sotho row 11 : star diamond mine | 40712 | 0.11 | 212 | sotho row 12 : theunissen | 40713 | 15.11 | 1,667 | afrikaans row 13 : tshepong | 40714 | 0.54 | 1,710 | sotho row 14 : verkeerdevlei | 40715 | 1.22 | 151 | afrikaans row 15 : winburg | 40716 | 70.22 | 3,371 | sotho row 16 : remainder of the municipality | 40711 | 6,696.44 | 10,304 | sotho
|
table_csv/204_64.csv
| 0 |
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|
[
"what are all of the places?"
] | 1 |
beatrix mine, boipatong, brandfort, fora, ikgomotseng, joel mine, lusaka, majwemasweu, makeleketla, masilo, star diamond mine, theunissen, tshepong, verkeerdevlei, winburg, remainder of the municipality
|
[
"Place",
"Code",
"Area (km2)",
"Population",
"Most spoken language"
] |
what are all of the places?
|
[
[
"Beatrix Mine",
"40701",
"0.17",
"2,492",
"Sotho"
],
[
"Boipatong",
"40702",
"0.31",
"1,501",
"Sotho"
],
[
"Brandfort",
"40703",
"3.20",
"1,516",
"Afrikaans"
],
[
"Fora",
"40704",
"0.05",
"530",
"Sotho"
],
[
"Ikgomotseng",
"40705",
"1.07",
"2,254",
"Tswana"
],
[
"Joel Mine",
"40706",
"0.11",
"728",
"Sotho"
],
[
"Lusaka",
"40707",
"1.40",
"6,110",
"Sotho"
],
[
"Majwemasweu",
"40708",
"2.50",
"10,328",
"Sotho"
],
[
"Makeleketla",
"40709",
"1.35",
"6,629",
"Sotho"
],
[
"Masilo",
"40710",
"3.02",
"14,903",
"Sotho"
],
[
"Star Diamond Mine",
"40712",
"0.11",
"212",
"Sotho"
],
[
"Theunissen",
"40713",
"15.11",
"1,667",
"Afrikaans"
],
[
"Tshepong",
"40714",
"0.54",
"1,710",
"Sotho"
],
[
"Verkeerdevlei",
"40715",
"1.22",
"151",
"Afrikaans"
],
[
"Winburg",
"40716",
"70.22",
"3,371",
"Sotho"
],
[
"Remainder of the municipality",
"40711",
"6,696.44",
"10,304",
"Sotho"
]
] |
[
"Beatrix Mine",
"Boipatong",
"Brandfort",
"Fora",
"Ikgomotseng",
"Joel Mine",
"Lusaka",
"Majwemasweu",
"Makeleketla",
"Masilo",
"Star Diamond Mine",
"Theunissen",
"Tshepong",
"Verkeerdevlei",
"Winburg",
"Remainder of the municipality"
] |
what are all of the places? ||
|
nt-3880
|
col : place | code | area (km2) | population | most spoken language row 1 : beatrix mine | 40701 | 0.17 | 2,492 | sotho row 2 : boipatong | 40702 | 0.31 | 1,501 | sotho row 3 : brandfort | 40703 | 3.20 | 1,516 | afrikaans row 4 : fora | 40704 | 0.05 | 530 | sotho row 5 : ikgomotseng | 40705 | 1.07 | 2,254 | tswana row 6 : joel mine | 40706 | 0.11 | 728 | sotho row 7 : lusaka | 40707 | 1.40 | 6,110 | sotho row 8 : majwemasweu | 40708 | 2.50 | 10,328 | sotho row 9 : makeleketla | 40709 | 1.35 | 6,629 | sotho row 10 : masilo | 40710 | 3.02 | 14,903 | sotho row 11 : star diamond mine | 40712 | 0.11 | 212 | sotho row 12 : theunissen | 40713 | 15.11 | 1,667 | afrikaans row 13 : tshepong | 40714 | 0.54 | 1,710 | sotho row 14 : verkeerdevlei | 40715 | 1.22 | 151 | afrikaans row 15 : winburg | 40716 | 70.22 | 3,371 | sotho row 16 : remainder of the municipality | 40711 | 6,696.44 | 10,304 | sotho
|
table_csv/204_64.csv
| 1 |
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}
|
[
"what are all of the places?",
"and their most-spoken languages?"
] | 1 |
sotho, sotho, afrikaans, sotho, tswana, sotho, sotho, sotho, sotho, sotho, sotho, afrikaans, sotho, afrikaans, sotho, sotho
|
[
"Place",
"Code",
"Area (km2)",
"Population",
"Most spoken language"
] |
and their most-spoken languages?
|
[
[
"Beatrix Mine",
"40701",
"0.17",
"2,492",
"Sotho"
],
[
"Boipatong",
"40702",
"0.31",
"1,501",
"Sotho"
],
[
"Brandfort",
"40703",
"3.20",
"1,516",
"Afrikaans"
],
[
"Fora",
"40704",
"0.05",
"530",
"Sotho"
],
[
"Ikgomotseng",
"40705",
"1.07",
"2,254",
"Tswana"
],
[
"Joel Mine",
"40706",
"0.11",
"728",
"Sotho"
],
[
"Lusaka",
"40707",
"1.40",
"6,110",
"Sotho"
],
[
"Majwemasweu",
"40708",
"2.50",
"10,328",
"Sotho"
],
[
"Makeleketla",
"40709",
"1.35",
"6,629",
"Sotho"
],
[
"Masilo",
"40710",
"3.02",
"14,903",
"Sotho"
],
[
"Star Diamond Mine",
"40712",
"0.11",
"212",
"Sotho"
],
[
"Theunissen",
"40713",
"15.11",
"1,667",
"Afrikaans"
],
[
"Tshepong",
"40714",
"0.54",
"1,710",
"Sotho"
],
[
"Verkeerdevlei",
"40715",
"1.22",
"151",
"Afrikaans"
],
[
"Winburg",
"40716",
"70.22",
"3,371",
"Sotho"
],
[
"Remainder of the municipality",
"40711",
"6,696.44",
"10,304",
"Sotho"
]
] |
[
"Sotho",
"Sotho",
"Afrikaans",
"Sotho",
"Tswana",
"Sotho",
"Sotho",
"Sotho",
"Sotho",
"Sotho",
"Sotho",
"Afrikaans",
"Sotho",
"Afrikaans",
"Sotho",
"Sotho"
] |
and their most-spoken languages? || what are all of the places?
|
nt-3880
|
col : place | code | area (km2) | population | most spoken language row 1 : beatrix mine | 40701 | 0.17 | 2,492 | sotho row 2 : boipatong | 40702 | 0.31 | 1,501 | sotho row 3 : brandfort | 40703 | 3.20 | 1,516 | afrikaans row 4 : fora | 40704 | 0.05 | 530 | sotho row 5 : ikgomotseng | 40705 | 1.07 | 2,254 | tswana row 6 : joel mine | 40706 | 0.11 | 728 | sotho row 7 : lusaka | 40707 | 1.40 | 6,110 | sotho row 8 : majwemasweu | 40708 | 2.50 | 10,328 | sotho row 9 : makeleketla | 40709 | 1.35 | 6,629 | sotho row 10 : masilo | 40710 | 3.02 | 14,903 | sotho row 11 : star diamond mine | 40712 | 0.11 | 212 | sotho row 12 : theunissen | 40713 | 15.11 | 1,667 | afrikaans row 13 : tshepong | 40714 | 0.54 | 1,710 | sotho row 14 : verkeerdevlei | 40715 | 1.22 | 151 | afrikaans row 15 : winburg | 40716 | 70.22 | 3,371 | sotho row 16 : remainder of the municipality | 40711 | 6,696.44 | 10,304 | sotho
|
table_csv/204_64.csv
| 2 |
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}
|
[
"what are all of the places?",
"and their most-spoken languages?",
"what about the area of each place?"
] | 1 |
0.17, 0.31, 3.20, 0.05, 1.07, 0.11, 1.40, 2.50, 1.35, 3.02, 0.11, 15.11, 0.54, 1.22, 70.22
|
[
"Place",
"Code",
"Area (km2)",
"Population",
"Most spoken language"
] |
what about the area of each place?
|
[
[
"Beatrix Mine",
"40701",
"0.17",
"2,492",
"Sotho"
],
[
"Boipatong",
"40702",
"0.31",
"1,501",
"Sotho"
],
[
"Brandfort",
"40703",
"3.20",
"1,516",
"Afrikaans"
],
[
"Fora",
"40704",
"0.05",
"530",
"Sotho"
],
[
"Ikgomotseng",
"40705",
"1.07",
"2,254",
"Tswana"
],
[
"Joel Mine",
"40706",
"0.11",
"728",
"Sotho"
],
[
"Lusaka",
"40707",
"1.40",
"6,110",
"Sotho"
],
[
"Majwemasweu",
"40708",
"2.50",
"10,328",
"Sotho"
],
[
"Makeleketla",
"40709",
"1.35",
"6,629",
"Sotho"
],
[
"Masilo",
"40710",
"3.02",
"14,903",
"Sotho"
],
[
"Star Diamond Mine",
"40712",
"0.11",
"212",
"Sotho"
],
[
"Theunissen",
"40713",
"15.11",
"1,667",
"Afrikaans"
],
[
"Tshepong",
"40714",
"0.54",
"1,710",
"Sotho"
],
[
"Verkeerdevlei",
"40715",
"1.22",
"151",
"Afrikaans"
],
[
"Winburg",
"40716",
"70.22",
"3,371",
"Sotho"
],
[
"Remainder of the municipality",
"40711",
"6,696.44",
"10,304",
"Sotho"
]
] |
[
"0.17",
"0.31",
"3.20",
"0.05",
"1.07",
"0.11",
"1.40",
"2.50",
"1.35",
"3.02",
"0.11",
"15.11",
"0.54",
"1.22",
"70.22"
] |
what about the area of each place? || and their most-spoken languages? | what are all of the places?
|
nt-3880
|
col : place | code | area (km2) | population | most spoken language row 1 : beatrix mine | 40701 | 0.17 | 2,492 | sotho row 2 : boipatong | 40702 | 0.31 | 1,501 | sotho row 3 : brandfort | 40703 | 3.20 | 1,516 | afrikaans row 4 : fora | 40704 | 0.05 | 530 | sotho row 5 : ikgomotseng | 40705 | 1.07 | 2,254 | tswana row 6 : joel mine | 40706 | 0.11 | 728 | sotho row 7 : lusaka | 40707 | 1.40 | 6,110 | sotho row 8 : majwemasweu | 40708 | 2.50 | 10,328 | sotho row 9 : makeleketla | 40709 | 1.35 | 6,629 | sotho row 10 : masilo | 40710 | 3.02 | 14,903 | sotho row 11 : star diamond mine | 40712 | 0.11 | 212 | sotho row 12 : theunissen | 40713 | 15.11 | 1,667 | afrikaans row 13 : tshepong | 40714 | 0.54 | 1,710 | sotho row 14 : verkeerdevlei | 40715 | 1.22 | 151 | afrikaans row 15 : winburg | 40716 | 70.22 | 3,371 | sotho row 16 : remainder of the municipality | 40711 | 6,696.44 | 10,304 | sotho
|
table_csv/204_64.csv
| 3 |
{
"column_index": [
0
],
"row_index": [
11
]
}
|
[
"what are all of the places?",
"and their most-spoken languages?",
"what about the area of each place?",
"which of those places speak afrikaans and have the largest area?"
] | 1 |
theunissen
|
[
"Place",
"Code",
"Area (km2)",
"Population",
"Most spoken language"
] |
which of those places speak afrikaans and have the largest area?
|
[
[
"Beatrix Mine",
"40701",
"0.17",
"2,492",
"Sotho"
],
[
"Boipatong",
"40702",
"0.31",
"1,501",
"Sotho"
],
[
"Brandfort",
"40703",
"3.20",
"1,516",
"Afrikaans"
],
[
"Fora",
"40704",
"0.05",
"530",
"Sotho"
],
[
"Ikgomotseng",
"40705",
"1.07",
"2,254",
"Tswana"
],
[
"Joel Mine",
"40706",
"0.11",
"728",
"Sotho"
],
[
"Lusaka",
"40707",
"1.40",
"6,110",
"Sotho"
],
[
"Majwemasweu",
"40708",
"2.50",
"10,328",
"Sotho"
],
[
"Makeleketla",
"40709",
"1.35",
"6,629",
"Sotho"
],
[
"Masilo",
"40710",
"3.02",
"14,903",
"Sotho"
],
[
"Star Diamond Mine",
"40712",
"0.11",
"212",
"Sotho"
],
[
"Theunissen",
"40713",
"15.11",
"1,667",
"Afrikaans"
],
[
"Tshepong",
"40714",
"0.54",
"1,710",
"Sotho"
],
[
"Verkeerdevlei",
"40715",
"1.22",
"151",
"Afrikaans"
],
[
"Winburg",
"40716",
"70.22",
"3,371",
"Sotho"
],
[
"Remainder of the municipality",
"40711",
"6,696.44",
"10,304",
"Sotho"
]
] |
[
"Theunissen"
] |
which of those places speak afrikaans and have the largest area? || what about the area of each place? | and their most-spoken languages? | what are all of the places?
|
nt-3880
|
col : place | code | area (km2) | population | most spoken language row 1 : beatrix mine | 40701 | 0.17 | 2,492 | sotho row 2 : boipatong | 40702 | 0.31 | 1,501 | sotho row 3 : brandfort | 40703 | 3.20 | 1,516 | afrikaans row 4 : fora | 40704 | 0.05 | 530 | sotho row 5 : ikgomotseng | 40705 | 1.07 | 2,254 | tswana row 6 : joel mine | 40706 | 0.11 | 728 | sotho row 7 : lusaka | 40707 | 1.40 | 6,110 | sotho row 8 : majwemasweu | 40708 | 2.50 | 10,328 | sotho row 9 : makeleketla | 40709 | 1.35 | 6,629 | sotho row 10 : masilo | 40710 | 3.02 | 14,903 | sotho row 11 : star diamond mine | 40712 | 0.11 | 212 | sotho row 12 : theunissen | 40713 | 15.11 | 1,667 | afrikaans row 13 : tshepong | 40714 | 0.54 | 1,710 | sotho row 14 : verkeerdevlei | 40715 | 1.22 | 151 | afrikaans row 15 : winburg | 40716 | 70.22 | 3,371 | sotho row 16 : remainder of the municipality | 40711 | 6,696.44 | 10,304 | sotho
|
table_csv/204_64.csv
| 0 |
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}
|
[
"what are all the places in the masilonyana local municipality?"
] | 2 |
beatrix mine, boipatong, brandfort, fora, ikgomotseng, joel mine, lusaka, majwemasweu, makeleketla, masilo, star diamond mine, theunissen, tshepong, verkeerdevlei, winburg, remainder of the municipality
|
[
"Place",
"Code",
"Area (km2)",
"Population",
"Most spoken language"
] |
what are all the places in the masilonyana local municipality?
|
[
[
"Beatrix Mine",
"40701",
"0.17",
"2,492",
"Sotho"
],
[
"Boipatong",
"40702",
"0.31",
"1,501",
"Sotho"
],
[
"Brandfort",
"40703",
"3.20",
"1,516",
"Afrikaans"
],
[
"Fora",
"40704",
"0.05",
"530",
"Sotho"
],
[
"Ikgomotseng",
"40705",
"1.07",
"2,254",
"Tswana"
],
[
"Joel Mine",
"40706",
"0.11",
"728",
"Sotho"
],
[
"Lusaka",
"40707",
"1.40",
"6,110",
"Sotho"
],
[
"Majwemasweu",
"40708",
"2.50",
"10,328",
"Sotho"
],
[
"Makeleketla",
"40709",
"1.35",
"6,629",
"Sotho"
],
[
"Masilo",
"40710",
"3.02",
"14,903",
"Sotho"
],
[
"Star Diamond Mine",
"40712",
"0.11",
"212",
"Sotho"
],
[
"Theunissen",
"40713",
"15.11",
"1,667",
"Afrikaans"
],
[
"Tshepong",
"40714",
"0.54",
"1,710",
"Sotho"
],
[
"Verkeerdevlei",
"40715",
"1.22",
"151",
"Afrikaans"
],
[
"Winburg",
"40716",
"70.22",
"3,371",
"Sotho"
],
[
"Remainder of the municipality",
"40711",
"6,696.44",
"10,304",
"Sotho"
]
] |
[
"Beatrix Mine",
"Boipatong",
"Brandfort",
"Fora",
"Ikgomotseng",
"Joel Mine",
"Lusaka",
"Majwemasweu",
"Makeleketla",
"Masilo",
"Star Diamond Mine",
"Theunissen",
"Tshepong",
"Verkeerdevlei",
"Winburg",
"Remainder of the municipality"
] |
what are all the places in the masilonyana local municipality? ||
|
nt-3880
|
col : place | code | area (km2) | population | most spoken language row 1 : beatrix mine | 40701 | 0.17 | 2,492 | sotho row 2 : boipatong | 40702 | 0.31 | 1,501 | sotho row 3 : brandfort | 40703 | 3.20 | 1,516 | afrikaans row 4 : fora | 40704 | 0.05 | 530 | sotho row 5 : ikgomotseng | 40705 | 1.07 | 2,254 | tswana row 6 : joel mine | 40706 | 0.11 | 728 | sotho row 7 : lusaka | 40707 | 1.40 | 6,110 | sotho row 8 : majwemasweu | 40708 | 2.50 | 10,328 | sotho row 9 : makeleketla | 40709 | 1.35 | 6,629 | sotho row 10 : masilo | 40710 | 3.02 | 14,903 | sotho row 11 : star diamond mine | 40712 | 0.11 | 212 | sotho row 12 : theunissen | 40713 | 15.11 | 1,667 | afrikaans row 13 : tshepong | 40714 | 0.54 | 1,710 | sotho row 14 : verkeerdevlei | 40715 | 1.22 | 151 | afrikaans row 15 : winburg | 40716 | 70.22 | 3,371 | sotho row 16 : remainder of the municipality | 40711 | 6,696.44 | 10,304 | sotho
|
table_csv/204_64.csv
| 1 |
{
"column_index": [
0,
0,
0
],
"row_index": [
2,
11,
13
]
}
|
[
"what are all the places in the masilonyana local municipality?",
"which place have afrikaans as most spoken language?"
] | 2 |
brandfort, theunissen, verkeerdevlei
|
[
"Place",
"Code",
"Area (km2)",
"Population",
"Most spoken language"
] |
which place have afrikaans as most spoken language?
|
[
[
"Beatrix Mine",
"40701",
"0.17",
"2,492",
"Sotho"
],
[
"Boipatong",
"40702",
"0.31",
"1,501",
"Sotho"
],
[
"Brandfort",
"40703",
"3.20",
"1,516",
"Afrikaans"
],
[
"Fora",
"40704",
"0.05",
"530",
"Sotho"
],
[
"Ikgomotseng",
"40705",
"1.07",
"2,254",
"Tswana"
],
[
"Joel Mine",
"40706",
"0.11",
"728",
"Sotho"
],
[
"Lusaka",
"40707",
"1.40",
"6,110",
"Sotho"
],
[
"Majwemasweu",
"40708",
"2.50",
"10,328",
"Sotho"
],
[
"Makeleketla",
"40709",
"1.35",
"6,629",
"Sotho"
],
[
"Masilo",
"40710",
"3.02",
"14,903",
"Sotho"
],
[
"Star Diamond Mine",
"40712",
"0.11",
"212",
"Sotho"
],
[
"Theunissen",
"40713",
"15.11",
"1,667",
"Afrikaans"
],
[
"Tshepong",
"40714",
"0.54",
"1,710",
"Sotho"
],
[
"Verkeerdevlei",
"40715",
"1.22",
"151",
"Afrikaans"
],
[
"Winburg",
"40716",
"70.22",
"3,371",
"Sotho"
],
[
"Remainder of the municipality",
"40711",
"6,696.44",
"10,304",
"Sotho"
]
] |
[
"Brandfort",
"Theunissen",
"Verkeerdevlei"
] |
which place have afrikaans as most spoken language? || what are all the places in the masilonyana local municipality?
|
nt-3880
|
col : place | code | area (km2) | population | most spoken language row 1 : beatrix mine | 40701 | 0.17 | 2,492 | sotho row 2 : boipatong | 40702 | 0.31 | 1,501 | sotho row 3 : brandfort | 40703 | 3.20 | 1,516 | afrikaans row 4 : fora | 40704 | 0.05 | 530 | sotho row 5 : ikgomotseng | 40705 | 1.07 | 2,254 | tswana row 6 : joel mine | 40706 | 0.11 | 728 | sotho row 7 : lusaka | 40707 | 1.40 | 6,110 | sotho row 8 : majwemasweu | 40708 | 2.50 | 10,328 | sotho row 9 : makeleketla | 40709 | 1.35 | 6,629 | sotho row 10 : masilo | 40710 | 3.02 | 14,903 | sotho row 11 : star diamond mine | 40712 | 0.11 | 212 | sotho row 12 : theunissen | 40713 | 15.11 | 1,667 | afrikaans row 13 : tshepong | 40714 | 0.54 | 1,710 | sotho row 14 : verkeerdevlei | 40715 | 1.22 | 151 | afrikaans row 15 : winburg | 40716 | 70.22 | 3,371 | sotho row 16 : remainder of the municipality | 40711 | 6,696.44 | 10,304 | sotho
|
table_csv/204_64.csv
| 2 |
{
"column_index": [
2,
2,
2
],
"row_index": [
2,
11,
13
]
}
|
[
"what are all the places in the masilonyana local municipality?",
"which place have afrikaans as most spoken language?",
"what are their areas in km2?"
] | 2 |
3.20, 15.11, 1.22
|
[
"Place",
"Code",
"Area (km2)",
"Population",
"Most spoken language"
] |
what are their areas in km2?
|
[
[
"Beatrix Mine",
"40701",
"0.17",
"2,492",
"Sotho"
],
[
"Boipatong",
"40702",
"0.31",
"1,501",
"Sotho"
],
[
"Brandfort",
"40703",
"3.20",
"1,516",
"Afrikaans"
],
[
"Fora",
"40704",
"0.05",
"530",
"Sotho"
],
[
"Ikgomotseng",
"40705",
"1.07",
"2,254",
"Tswana"
],
[
"Joel Mine",
"40706",
"0.11",
"728",
"Sotho"
],
[
"Lusaka",
"40707",
"1.40",
"6,110",
"Sotho"
],
[
"Majwemasweu",
"40708",
"2.50",
"10,328",
"Sotho"
],
[
"Makeleketla",
"40709",
"1.35",
"6,629",
"Sotho"
],
[
"Masilo",
"40710",
"3.02",
"14,903",
"Sotho"
],
[
"Star Diamond Mine",
"40712",
"0.11",
"212",
"Sotho"
],
[
"Theunissen",
"40713",
"15.11",
"1,667",
"Afrikaans"
],
[
"Tshepong",
"40714",
"0.54",
"1,710",
"Sotho"
],
[
"Verkeerdevlei",
"40715",
"1.22",
"151",
"Afrikaans"
],
[
"Winburg",
"40716",
"70.22",
"3,371",
"Sotho"
],
[
"Remainder of the municipality",
"40711",
"6,696.44",
"10,304",
"Sotho"
]
] |
[
"3.20",
"15.11",
"1.22"
] |
what are their areas in km2? || which place have afrikaans as most spoken language? | what are all the places in the masilonyana local municipality?
|
nt-3880
|
col : place | code | area (km2) | population | most spoken language row 1 : beatrix mine | 40701 | 0.17 | 2,492 | sotho row 2 : boipatong | 40702 | 0.31 | 1,501 | sotho row 3 : brandfort | 40703 | 3.20 | 1,516 | afrikaans row 4 : fora | 40704 | 0.05 | 530 | sotho row 5 : ikgomotseng | 40705 | 1.07 | 2,254 | tswana row 6 : joel mine | 40706 | 0.11 | 728 | sotho row 7 : lusaka | 40707 | 1.40 | 6,110 | sotho row 8 : majwemasweu | 40708 | 2.50 | 10,328 | sotho row 9 : makeleketla | 40709 | 1.35 | 6,629 | sotho row 10 : masilo | 40710 | 3.02 | 14,903 | sotho row 11 : star diamond mine | 40712 | 0.11 | 212 | sotho row 12 : theunissen | 40713 | 15.11 | 1,667 | afrikaans row 13 : tshepong | 40714 | 0.54 | 1,710 | sotho row 14 : verkeerdevlei | 40715 | 1.22 | 151 | afrikaans row 15 : winburg | 40716 | 70.22 | 3,371 | sotho row 16 : remainder of the municipality | 40711 | 6,696.44 | 10,304 | sotho
|
table_csv/204_64.csv
| 3 |
{
"column_index": [
2
],
"row_index": [
11
]
}
|
[
"what are all the places in the masilonyana local municipality?",
"which place have afrikaans as most spoken language?",
"what are their areas in km2?",
"which of these areas is largest?"
] | 2 |
15.11
|
[
"Place",
"Code",
"Area (km2)",
"Population",
"Most spoken language"
] |
which of these areas is largest?
|
[
[
"Beatrix Mine",
"40701",
"0.17",
"2,492",
"Sotho"
],
[
"Boipatong",
"40702",
"0.31",
"1,501",
"Sotho"
],
[
"Brandfort",
"40703",
"3.20",
"1,516",
"Afrikaans"
],
[
"Fora",
"40704",
"0.05",
"530",
"Sotho"
],
[
"Ikgomotseng",
"40705",
"1.07",
"2,254",
"Tswana"
],
[
"Joel Mine",
"40706",
"0.11",
"728",
"Sotho"
],
[
"Lusaka",
"40707",
"1.40",
"6,110",
"Sotho"
],
[
"Majwemasweu",
"40708",
"2.50",
"10,328",
"Sotho"
],
[
"Makeleketla",
"40709",
"1.35",
"6,629",
"Sotho"
],
[
"Masilo",
"40710",
"3.02",
"14,903",
"Sotho"
],
[
"Star Diamond Mine",
"40712",
"0.11",
"212",
"Sotho"
],
[
"Theunissen",
"40713",
"15.11",
"1,667",
"Afrikaans"
],
[
"Tshepong",
"40714",
"0.54",
"1,710",
"Sotho"
],
[
"Verkeerdevlei",
"40715",
"1.22",
"151",
"Afrikaans"
],
[
"Winburg",
"40716",
"70.22",
"3,371",
"Sotho"
],
[
"Remainder of the municipality",
"40711",
"6,696.44",
"10,304",
"Sotho"
]
] |
[
"15.11"
] |
which of these areas is largest? || what are their areas in km2? | which place have afrikaans as most spoken language? | what are all the places in the masilonyana local municipality?
|
nt-3880
|
col : place | code | area (km2) | population | most spoken language row 1 : beatrix mine | 40701 | 0.17 | 2,492 | sotho row 2 : boipatong | 40702 | 0.31 | 1,501 | sotho row 3 : brandfort | 40703 | 3.20 | 1,516 | afrikaans row 4 : fora | 40704 | 0.05 | 530 | sotho row 5 : ikgomotseng | 40705 | 1.07 | 2,254 | tswana row 6 : joel mine | 40706 | 0.11 | 728 | sotho row 7 : lusaka | 40707 | 1.40 | 6,110 | sotho row 8 : majwemasweu | 40708 | 2.50 | 10,328 | sotho row 9 : makeleketla | 40709 | 1.35 | 6,629 | sotho row 10 : masilo | 40710 | 3.02 | 14,903 | sotho row 11 : star diamond mine | 40712 | 0.11 | 212 | sotho row 12 : theunissen | 40713 | 15.11 | 1,667 | afrikaans row 13 : tshepong | 40714 | 0.54 | 1,710 | sotho row 14 : verkeerdevlei | 40715 | 1.22 | 151 | afrikaans row 15 : winburg | 40716 | 70.22 | 3,371 | sotho row 16 : remainder of the municipality | 40711 | 6,696.44 | 10,304 | sotho
|
table_csv/204_64.csv
| 4 |
{
"column_index": [
0
],
"row_index": [
11
]
}
|
[
"what are all the places in the masilonyana local municipality?",
"which place have afrikaans as most spoken language?",
"what are their areas in km2?",
"which of these areas is largest?",
"what place is this?"
] | 2 |
theunissen
|
[
"Place",
"Code",
"Area (km2)",
"Population",
"Most spoken language"
] |
what place is this?
|
[
[
"Beatrix Mine",
"40701",
"0.17",
"2,492",
"Sotho"
],
[
"Boipatong",
"40702",
"0.31",
"1,501",
"Sotho"
],
[
"Brandfort",
"40703",
"3.20",
"1,516",
"Afrikaans"
],
[
"Fora",
"40704",
"0.05",
"530",
"Sotho"
],
[
"Ikgomotseng",
"40705",
"1.07",
"2,254",
"Tswana"
],
[
"Joel Mine",
"40706",
"0.11",
"728",
"Sotho"
],
[
"Lusaka",
"40707",
"1.40",
"6,110",
"Sotho"
],
[
"Majwemasweu",
"40708",
"2.50",
"10,328",
"Sotho"
],
[
"Makeleketla",
"40709",
"1.35",
"6,629",
"Sotho"
],
[
"Masilo",
"40710",
"3.02",
"14,903",
"Sotho"
],
[
"Star Diamond Mine",
"40712",
"0.11",
"212",
"Sotho"
],
[
"Theunissen",
"40713",
"15.11",
"1,667",
"Afrikaans"
],
[
"Tshepong",
"40714",
"0.54",
"1,710",
"Sotho"
],
[
"Verkeerdevlei",
"40715",
"1.22",
"151",
"Afrikaans"
],
[
"Winburg",
"40716",
"70.22",
"3,371",
"Sotho"
],
[
"Remainder of the municipality",
"40711",
"6,696.44",
"10,304",
"Sotho"
]
] |
[
"Theunissen"
] |
what place is this? || which of these areas is largest? | what are their areas in km2? | which place have afrikaans as most spoken language? | what are all the places in the masilonyana local municipality?
|
ns-2535
|
col : # | air date | timeslot (est) | season | rating | share | 18-49 (rating/share) | viewers (m) | weekly rank (#) row 1 : 1 | march 2, 2008 | sunday 9:00 p.m. | 2007-2008 | 9.4 | 14 | 5.3/12 | 15.55 | 4 row 2 : 2 | march 9, 2008 | sunday 9:00 p.m. | 2007-2008 | 7.4 | 11 | 4.1/10 | 11.83 | 10 row 3 : 3 | march 16, 2008 | sunday 9:00 p.m. | 2007-2008 | 6.0 | 9 | 3.6/9 | 9.71 | 18 row 4 : 4 | march 23, 2008 | sunday 9:00 p.m. | 2007-2008 | 6.1 | 10 | 3.5/9 | 9.92 | 19 row 5 : 5 | march 30, 2008 | sunday 9:00 p.m. | 2007-2008 | 7.1 | 11 | 3.9/9 | 11.35 | 13 row 6 : 6 | april 6, 2008 | sunday 9:00 p.m. | 2007-2008 | 5.9 | 9 | 3.2/8 | 9.42 | 27 row 7 : 7 | april 13, 2008 | sunday 8:00 p.m. | 2007-2008 | 5.6 | 9 | 2.9/9 | 8.88 | 19 row 8 : 8 | april 20, 2008 | sunday 8:00 p.m. | 2007-2008 | 6.4 | 10 | 3.2/9 | 10.03 | tba
|
table_csv/204_384.csv
| 0 |
{
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
}
|
[
"what were the different airing dates for oprah's big give?"
] | 0 |
march 2, 2008, march 9, 2008, march 16, 2008, march 23, 2008, march 30, 2008, april 6, 2008, april 13, 2008, april 20, 2008
|
[
"#",
"Air Date",
"Timeslot (EST)",
"Season",
"Rating",
"Share",
"18-49 (Rating/Share)",
"Viewers (m)",
"Weekly Rank (#)"
] |
what were the different airing dates for oprah's big give?
|
[
[
"1",
"March 2, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"9.4",
"14",
"5.3/12",
"15.55",
"4"
],
[
"2",
"March 9, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"7.4",
"11",
"4.1/10",
"11.83",
"10"
],
[
"3",
"March 16, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"6.0",
"9",
"3.6/9",
"9.71",
"18"
],
[
"4",
"March 23, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"6.1",
"10",
"3.5/9",
"9.92",
"19"
],
[
"5",
"March 30, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"7.1",
"11",
"3.9/9",
"11.35",
"13"
],
[
"6",
"April 6, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"5.9",
"9",
"3.2/8",
"9.42",
"27"
],
[
"7",
"April 13, 2008",
"Sunday 8:00 P.M.",
"2007-2008",
"5.6",
"9",
"2.9/9",
"8.88",
"19"
],
[
"8",
"April 20, 2008",
"Sunday 8:00 P.M.",
"2007-2008",
"6.4",
"10",
"3.2/9",
"10.03",
"TBA"
]
] |
[
"March 2, 2008",
"March 9, 2008",
"March 16, 2008",
"March 23, 2008",
"March 30, 2008",
"April 6, 2008",
"April 13, 2008",
"April 20, 2008"
] |
what were the different airing dates for oprah's big give? ||
|
ns-2535
|
col : # | air date | timeslot (est) | season | rating | share | 18-49 (rating/share) | viewers (m) | weekly rank (#) row 1 : 1 | march 2, 2008 | sunday 9:00 p.m. | 2007-2008 | 9.4 | 14 | 5.3/12 | 15.55 | 4 row 2 : 2 | march 9, 2008 | sunday 9:00 p.m. | 2007-2008 | 7.4 | 11 | 4.1/10 | 11.83 | 10 row 3 : 3 | march 16, 2008 | sunday 9:00 p.m. | 2007-2008 | 6.0 | 9 | 3.6/9 | 9.71 | 18 row 4 : 4 | march 23, 2008 | sunday 9:00 p.m. | 2007-2008 | 6.1 | 10 | 3.5/9 | 9.92 | 19 row 5 : 5 | march 30, 2008 | sunday 9:00 p.m. | 2007-2008 | 7.1 | 11 | 3.9/9 | 11.35 | 13 row 6 : 6 | april 6, 2008 | sunday 9:00 p.m. | 2007-2008 | 5.9 | 9 | 3.2/8 | 9.42 | 27 row 7 : 7 | april 13, 2008 | sunday 8:00 p.m. | 2007-2008 | 5.6 | 9 | 2.9/9 | 8.88 | 19 row 8 : 8 | april 20, 2008 | sunday 8:00 p.m. | 2007-2008 | 6.4 | 10 | 3.2/9 | 10.03 | tba
|
table_csv/204_384.csv
| 1 |
{
"column_index": [
6
],
"row_index": [
2
]
}
|
[
"what were the different airing dates for oprah's big give?",
"what was the rating/share ratio for the march 16, 2008 air date?"
] | 0 |
3.6/9
|
[
"#",
"Air Date",
"Timeslot (EST)",
"Season",
"Rating",
"Share",
"18-49 (Rating/Share)",
"Viewers (m)",
"Weekly Rank (#)"
] |
what was the rating/share ratio for the march 16, 2008 air date?
|
[
[
"1",
"March 2, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"9.4",
"14",
"5.3/12",
"15.55",
"4"
],
[
"2",
"March 9, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"7.4",
"11",
"4.1/10",
"11.83",
"10"
],
[
"3",
"March 16, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"6.0",
"9",
"3.6/9",
"9.71",
"18"
],
[
"4",
"March 23, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"6.1",
"10",
"3.5/9",
"9.92",
"19"
],
[
"5",
"March 30, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"7.1",
"11",
"3.9/9",
"11.35",
"13"
],
[
"6",
"April 6, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"5.9",
"9",
"3.2/8",
"9.42",
"27"
],
[
"7",
"April 13, 2008",
"Sunday 8:00 P.M.",
"2007-2008",
"5.6",
"9",
"2.9/9",
"8.88",
"19"
],
[
"8",
"April 20, 2008",
"Sunday 8:00 P.M.",
"2007-2008",
"6.4",
"10",
"3.2/9",
"10.03",
"TBA"
]
] |
[
"3.6/9"
] |
what was the rating/share ratio for the march 16, 2008 air date? || what were the different airing dates for oprah's big give?
|
ns-2535
|
col : # | air date | timeslot (est) | season | rating | share | 18-49 (rating/share) | viewers (m) | weekly rank (#) row 1 : 1 | march 2, 2008 | sunday 9:00 p.m. | 2007-2008 | 9.4 | 14 | 5.3/12 | 15.55 | 4 row 2 : 2 | march 9, 2008 | sunday 9:00 p.m. | 2007-2008 | 7.4 | 11 | 4.1/10 | 11.83 | 10 row 3 : 3 | march 16, 2008 | sunday 9:00 p.m. | 2007-2008 | 6.0 | 9 | 3.6/9 | 9.71 | 18 row 4 : 4 | march 23, 2008 | sunday 9:00 p.m. | 2007-2008 | 6.1 | 10 | 3.5/9 | 9.92 | 19 row 5 : 5 | march 30, 2008 | sunday 9:00 p.m. | 2007-2008 | 7.1 | 11 | 3.9/9 | 11.35 | 13 row 6 : 6 | april 6, 2008 | sunday 9:00 p.m. | 2007-2008 | 5.9 | 9 | 3.2/8 | 9.42 | 27 row 7 : 7 | april 13, 2008 | sunday 8:00 p.m. | 2007-2008 | 5.6 | 9 | 2.9/9 | 8.88 | 19 row 8 : 8 | april 20, 2008 | sunday 8:00 p.m. | 2007-2008 | 6.4 | 10 | 3.2/9 | 10.03 | tba
|
table_csv/204_384.csv
| 0 |
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[
"what were the air dates for oprah's big give for 2008?"
] | 1 |
march 2, 2008, march 9, 2008, march 16, 2008, march 23, 2008, march 30, 2008, april 6, 2008, april 13, 2008, april 20, 2008
|
[
"#",
"Air Date",
"Timeslot (EST)",
"Season",
"Rating",
"Share",
"18-49 (Rating/Share)",
"Viewers (m)",
"Weekly Rank (#)"
] |
what were the air dates for oprah's big give for 2008?
|
[
[
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"Sunday 9:00 P.M.",
"2007-2008",
"9.4",
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],
[
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"March 9, 2008",
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[
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[
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[
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[
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"Sunday 8:00 P.M.",
"2007-2008",
"6.4",
"10",
"3.2/9",
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"TBA"
]
] |
[
"March 2, 2008",
"March 9, 2008",
"March 16, 2008",
"March 23, 2008",
"March 30, 2008",
"April 6, 2008",
"April 13, 2008",
"April 20, 2008"
] |
what were the air dates for oprah's big give for 2008? ||
|
ns-2535
|
col : # | air date | timeslot (est) | season | rating | share | 18-49 (rating/share) | viewers (m) | weekly rank (#) row 1 : 1 | march 2, 2008 | sunday 9:00 p.m. | 2007-2008 | 9.4 | 14 | 5.3/12 | 15.55 | 4 row 2 : 2 | march 9, 2008 | sunday 9:00 p.m. | 2007-2008 | 7.4 | 11 | 4.1/10 | 11.83 | 10 row 3 : 3 | march 16, 2008 | sunday 9:00 p.m. | 2007-2008 | 6.0 | 9 | 3.6/9 | 9.71 | 18 row 4 : 4 | march 23, 2008 | sunday 9:00 p.m. | 2007-2008 | 6.1 | 10 | 3.5/9 | 9.92 | 19 row 5 : 5 | march 30, 2008 | sunday 9:00 p.m. | 2007-2008 | 7.1 | 11 | 3.9/9 | 11.35 | 13 row 6 : 6 | april 6, 2008 | sunday 9:00 p.m. | 2007-2008 | 5.9 | 9 | 3.2/8 | 9.42 | 27 row 7 : 7 | april 13, 2008 | sunday 8:00 p.m. | 2007-2008 | 5.6 | 9 | 2.9/9 | 8.88 | 19 row 8 : 8 | april 20, 2008 | sunday 8:00 p.m. | 2007-2008 | 6.4 | 10 | 3.2/9 | 10.03 | tba
|
table_csv/204_384.csv
| 1 |
{
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|
[
"what were the air dates for oprah's big give for 2008?",
"which of those airings took place in march?"
] | 1 |
march 2, 2008, march 9, 2008, march 16, 2008, march 23, 2008, march 30, 2008
|
[
"#",
"Air Date",
"Timeslot (EST)",
"Season",
"Rating",
"Share",
"18-49 (Rating/Share)",
"Viewers (m)",
"Weekly Rank (#)"
] |
which of those airings took place in march?
|
[
[
"1",
"March 2, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"9.4",
"14",
"5.3/12",
"15.55",
"4"
],
[
"2",
"March 9, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"7.4",
"11",
"4.1/10",
"11.83",
"10"
],
[
"3",
"March 16, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"6.0",
"9",
"3.6/9",
"9.71",
"18"
],
[
"4",
"March 23, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"6.1",
"10",
"3.5/9",
"9.92",
"19"
],
[
"5",
"March 30, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"7.1",
"11",
"3.9/9",
"11.35",
"13"
],
[
"6",
"April 6, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
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"9.42",
"27"
],
[
"7",
"April 13, 2008",
"Sunday 8:00 P.M.",
"2007-2008",
"5.6",
"9",
"2.9/9",
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],
[
"8",
"April 20, 2008",
"Sunday 8:00 P.M.",
"2007-2008",
"6.4",
"10",
"3.2/9",
"10.03",
"TBA"
]
] |
[
"March 2, 2008",
"March 9, 2008",
"March 16, 2008",
"March 23, 2008",
"March 30, 2008"
] |
which of those airings took place in march? || what were the air dates for oprah's big give for 2008?
|
ns-2535
|
col : # | air date | timeslot (est) | season | rating | share | 18-49 (rating/share) | viewers (m) | weekly rank (#) row 1 : 1 | march 2, 2008 | sunday 9:00 p.m. | 2007-2008 | 9.4 | 14 | 5.3/12 | 15.55 | 4 row 2 : 2 | march 9, 2008 | sunday 9:00 p.m. | 2007-2008 | 7.4 | 11 | 4.1/10 | 11.83 | 10 row 3 : 3 | march 16, 2008 | sunday 9:00 p.m. | 2007-2008 | 6.0 | 9 | 3.6/9 | 9.71 | 18 row 4 : 4 | march 23, 2008 | sunday 9:00 p.m. | 2007-2008 | 6.1 | 10 | 3.5/9 | 9.92 | 19 row 5 : 5 | march 30, 2008 | sunday 9:00 p.m. | 2007-2008 | 7.1 | 11 | 3.9/9 | 11.35 | 13 row 6 : 6 | april 6, 2008 | sunday 9:00 p.m. | 2007-2008 | 5.9 | 9 | 3.2/8 | 9.42 | 27 row 7 : 7 | april 13, 2008 | sunday 8:00 p.m. | 2007-2008 | 5.6 | 9 | 2.9/9 | 8.88 | 19 row 8 : 8 | april 20, 2008 | sunday 8:00 p.m. | 2007-2008 | 6.4 | 10 | 3.2/9 | 10.03 | tba
|
table_csv/204_384.csv
| 2 |
{
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6
],
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2
]
}
|
[
"what were the air dates for oprah's big give for 2008?",
"which of those airings took place in march?",
"what was the rating/share score for march 16th, 2008?"
] | 1 |
3.6/9
|
[
"#",
"Air Date",
"Timeslot (EST)",
"Season",
"Rating",
"Share",
"18-49 (Rating/Share)",
"Viewers (m)",
"Weekly Rank (#)"
] |
what was the rating/share score for march 16th, 2008?
|
[
[
"1",
"March 2, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"9.4",
"14",
"5.3/12",
"15.55",
"4"
],
[
"2",
"March 9, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"7.4",
"11",
"4.1/10",
"11.83",
"10"
],
[
"3",
"March 16, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"6.0",
"9",
"3.6/9",
"9.71",
"18"
],
[
"4",
"March 23, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"6.1",
"10",
"3.5/9",
"9.92",
"19"
],
[
"5",
"March 30, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"7.1",
"11",
"3.9/9",
"11.35",
"13"
],
[
"6",
"April 6, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"5.9",
"9",
"3.2/8",
"9.42",
"27"
],
[
"7",
"April 13, 2008",
"Sunday 8:00 P.M.",
"2007-2008",
"5.6",
"9",
"2.9/9",
"8.88",
"19"
],
[
"8",
"April 20, 2008",
"Sunday 8:00 P.M.",
"2007-2008",
"6.4",
"10",
"3.2/9",
"10.03",
"TBA"
]
] |
[
"3.6/9"
] |
what was the rating/share score for march 16th, 2008? || which of those airings took place in march? | what were the air dates for oprah's big give for 2008?
|
ns-2535
|
col : # | air date | timeslot (est) | season | rating | share | 18-49 (rating/share) | viewers (m) | weekly rank (#) row 1 : 1 | march 2, 2008 | sunday 9:00 p.m. | 2007-2008 | 9.4 | 14 | 5.3/12 | 15.55 | 4 row 2 : 2 | march 9, 2008 | sunday 9:00 p.m. | 2007-2008 | 7.4 | 11 | 4.1/10 | 11.83 | 10 row 3 : 3 | march 16, 2008 | sunday 9:00 p.m. | 2007-2008 | 6.0 | 9 | 3.6/9 | 9.71 | 18 row 4 : 4 | march 23, 2008 | sunday 9:00 p.m. | 2007-2008 | 6.1 | 10 | 3.5/9 | 9.92 | 19 row 5 : 5 | march 30, 2008 | sunday 9:00 p.m. | 2007-2008 | 7.1 | 11 | 3.9/9 | 11.35 | 13 row 6 : 6 | april 6, 2008 | sunday 9:00 p.m. | 2007-2008 | 5.9 | 9 | 3.2/8 | 9.42 | 27 row 7 : 7 | april 13, 2008 | sunday 8:00 p.m. | 2007-2008 | 5.6 | 9 | 2.9/9 | 8.88 | 19 row 8 : 8 | april 20, 2008 | sunday 8:00 p.m. | 2007-2008 | 6.4 | 10 | 3.2/9 | 10.03 | tba
|
table_csv/204_384.csv
| 0 |
{
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1,
1,
1,
1,
1
],
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0,
1,
2,
3,
4
]
}
|
[
"how many oprah episodes aired in march?"
] | 2 |
march 2, 2008, march 9, 2008, march 16, 2008, march 23, 2008, march 30, 2008
|
[
"#",
"Air Date",
"Timeslot (EST)",
"Season",
"Rating",
"Share",
"18-49 (Rating/Share)",
"Viewers (m)",
"Weekly Rank (#)"
] |
how many oprah episodes aired in march?
|
[
[
"1",
"March 2, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"9.4",
"14",
"5.3/12",
"15.55",
"4"
],
[
"2",
"March 9, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"7.4",
"11",
"4.1/10",
"11.83",
"10"
],
[
"3",
"March 16, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"6.0",
"9",
"3.6/9",
"9.71",
"18"
],
[
"4",
"March 23, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"6.1",
"10",
"3.5/9",
"9.92",
"19"
],
[
"5",
"March 30, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
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"11",
"3.9/9",
"11.35",
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],
[
"6",
"April 6, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"5.9",
"9",
"3.2/8",
"9.42",
"27"
],
[
"7",
"April 13, 2008",
"Sunday 8:00 P.M.",
"2007-2008",
"5.6",
"9",
"2.9/9",
"8.88",
"19"
],
[
"8",
"April 20, 2008",
"Sunday 8:00 P.M.",
"2007-2008",
"6.4",
"10",
"3.2/9",
"10.03",
"TBA"
]
] |
[
"March 2, 2008",
"March 9, 2008",
"March 16, 2008",
"March 23, 2008",
"March 30, 2008"
] |
how many oprah episodes aired in march? ||
|
ns-2535
|
col : # | air date | timeslot (est) | season | rating | share | 18-49 (rating/share) | viewers (m) | weekly rank (#) row 1 : 1 | march 2, 2008 | sunday 9:00 p.m. | 2007-2008 | 9.4 | 14 | 5.3/12 | 15.55 | 4 row 2 : 2 | march 9, 2008 | sunday 9:00 p.m. | 2007-2008 | 7.4 | 11 | 4.1/10 | 11.83 | 10 row 3 : 3 | march 16, 2008 | sunday 9:00 p.m. | 2007-2008 | 6.0 | 9 | 3.6/9 | 9.71 | 18 row 4 : 4 | march 23, 2008 | sunday 9:00 p.m. | 2007-2008 | 6.1 | 10 | 3.5/9 | 9.92 | 19 row 5 : 5 | march 30, 2008 | sunday 9:00 p.m. | 2007-2008 | 7.1 | 11 | 3.9/9 | 11.35 | 13 row 6 : 6 | april 6, 2008 | sunday 9:00 p.m. | 2007-2008 | 5.9 | 9 | 3.2/8 | 9.42 | 27 row 7 : 7 | april 13, 2008 | sunday 8:00 p.m. | 2007-2008 | 5.6 | 9 | 2.9/9 | 8.88 | 19 row 8 : 8 | april 20, 2008 | sunday 8:00 p.m. | 2007-2008 | 6.4 | 10 | 3.2/9 | 10.03 | tba
|
table_csv/204_384.csv
| 1 |
{
"column_index": [
1
],
"row_index": [
2
]
}
|
[
"how many oprah episodes aired in march?",
"of those march episodes, which one had the fewest viewers?"
] | 2 |
march 16, 2008
|
[
"#",
"Air Date",
"Timeslot (EST)",
"Season",
"Rating",
"Share",
"18-49 (Rating/Share)",
"Viewers (m)",
"Weekly Rank (#)"
] |
of those march episodes, which one had the fewest viewers?
|
[
[
"1",
"March 2, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"9.4",
"14",
"5.3/12",
"15.55",
"4"
],
[
"2",
"March 9, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"7.4",
"11",
"4.1/10",
"11.83",
"10"
],
[
"3",
"March 16, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"6.0",
"9",
"3.6/9",
"9.71",
"18"
],
[
"4",
"March 23, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"6.1",
"10",
"3.5/9",
"9.92",
"19"
],
[
"5",
"March 30, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"7.1",
"11",
"3.9/9",
"11.35",
"13"
],
[
"6",
"April 6, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"5.9",
"9",
"3.2/8",
"9.42",
"27"
],
[
"7",
"April 13, 2008",
"Sunday 8:00 P.M.",
"2007-2008",
"5.6",
"9",
"2.9/9",
"8.88",
"19"
],
[
"8",
"April 20, 2008",
"Sunday 8:00 P.M.",
"2007-2008",
"6.4",
"10",
"3.2/9",
"10.03",
"TBA"
]
] |
[
"March 16, 2008"
] |
of those march episodes, which one had the fewest viewers? || how many oprah episodes aired in march?
|
ns-2535
|
col : # | air date | timeslot (est) | season | rating | share | 18-49 (rating/share) | viewers (m) | weekly rank (#) row 1 : 1 | march 2, 2008 | sunday 9:00 p.m. | 2007-2008 | 9.4 | 14 | 5.3/12 | 15.55 | 4 row 2 : 2 | march 9, 2008 | sunday 9:00 p.m. | 2007-2008 | 7.4 | 11 | 4.1/10 | 11.83 | 10 row 3 : 3 | march 16, 2008 | sunday 9:00 p.m. | 2007-2008 | 6.0 | 9 | 3.6/9 | 9.71 | 18 row 4 : 4 | march 23, 2008 | sunday 9:00 p.m. | 2007-2008 | 6.1 | 10 | 3.5/9 | 9.92 | 19 row 5 : 5 | march 30, 2008 | sunday 9:00 p.m. | 2007-2008 | 7.1 | 11 | 3.9/9 | 11.35 | 13 row 6 : 6 | april 6, 2008 | sunday 9:00 p.m. | 2007-2008 | 5.9 | 9 | 3.2/8 | 9.42 | 27 row 7 : 7 | april 13, 2008 | sunday 8:00 p.m. | 2007-2008 | 5.6 | 9 | 2.9/9 | 8.88 | 19 row 8 : 8 | april 20, 2008 | sunday 8:00 p.m. | 2007-2008 | 6.4 | 10 | 3.2/9 | 10.03 | tba
|
table_csv/204_384.csv
| 2 |
{
"column_index": [
5
],
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2
]
}
|
[
"how many oprah episodes aired in march?",
"of those march episodes, which one had the fewest viewers?",
"what was the rating share of the episode with the fewest viewers?"
] | 2 |
9
|
[
"#",
"Air Date",
"Timeslot (EST)",
"Season",
"Rating",
"Share",
"18-49 (Rating/Share)",
"Viewers (m)",
"Weekly Rank (#)"
] |
what was the rating share of the episode with the fewest viewers?
|
[
[
"1",
"March 2, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"9.4",
"14",
"5.3/12",
"15.55",
"4"
],
[
"2",
"March 9, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"7.4",
"11",
"4.1/10",
"11.83",
"10"
],
[
"3",
"March 16, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"6.0",
"9",
"3.6/9",
"9.71",
"18"
],
[
"4",
"March 23, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"6.1",
"10",
"3.5/9",
"9.92",
"19"
],
[
"5",
"March 30, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"7.1",
"11",
"3.9/9",
"11.35",
"13"
],
[
"6",
"April 6, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"5.9",
"9",
"3.2/8",
"9.42",
"27"
],
[
"7",
"April 13, 2008",
"Sunday 8:00 P.M.",
"2007-2008",
"5.6",
"9",
"2.9/9",
"8.88",
"19"
],
[
"8",
"April 20, 2008",
"Sunday 8:00 P.M.",
"2007-2008",
"6.4",
"10",
"3.2/9",
"10.03",
"TBA"
]
] |
[
"9"
] |
what was the rating share of the episode with the fewest viewers? || of those march episodes, which one had the fewest viewers? | how many oprah episodes aired in march?
|
ns-2535
|
col : # | air date | timeslot (est) | season | rating | share | 18-49 (rating/share) | viewers (m) | weekly rank (#) row 1 : 1 | march 2, 2008 | sunday 9:00 p.m. | 2007-2008 | 9.4 | 14 | 5.3/12 | 15.55 | 4 row 2 : 2 | march 9, 2008 | sunday 9:00 p.m. | 2007-2008 | 7.4 | 11 | 4.1/10 | 11.83 | 10 row 3 : 3 | march 16, 2008 | sunday 9:00 p.m. | 2007-2008 | 6.0 | 9 | 3.6/9 | 9.71 | 18 row 4 : 4 | march 23, 2008 | sunday 9:00 p.m. | 2007-2008 | 6.1 | 10 | 3.5/9 | 9.92 | 19 row 5 : 5 | march 30, 2008 | sunday 9:00 p.m. | 2007-2008 | 7.1 | 11 | 3.9/9 | 11.35 | 13 row 6 : 6 | april 6, 2008 | sunday 9:00 p.m. | 2007-2008 | 5.9 | 9 | 3.2/8 | 9.42 | 27 row 7 : 7 | april 13, 2008 | sunday 8:00 p.m. | 2007-2008 | 5.6 | 9 | 2.9/9 | 8.88 | 19 row 8 : 8 | april 20, 2008 | sunday 8:00 p.m. | 2007-2008 | 6.4 | 10 | 3.2/9 | 10.03 | tba
|
table_csv/204_384.csv
| 3 |
{
"column_index": [
6
],
"row_index": [
2
]
}
|
[
"how many oprah episodes aired in march?",
"of those march episodes, which one had the fewest viewers?",
"what was the rating share of the episode with the fewest viewers?",
"what was the rating share per episode for that episode?"
] | 2 |
3.6/9
|
[
"#",
"Air Date",
"Timeslot (EST)",
"Season",
"Rating",
"Share",
"18-49 (Rating/Share)",
"Viewers (m)",
"Weekly Rank (#)"
] |
what was the rating share per episode for that episode?
|
[
[
"1",
"March 2, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"9.4",
"14",
"5.3/12",
"15.55",
"4"
],
[
"2",
"March 9, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"7.4",
"11",
"4.1/10",
"11.83",
"10"
],
[
"3",
"March 16, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"6.0",
"9",
"3.6/9",
"9.71",
"18"
],
[
"4",
"March 23, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"6.1",
"10",
"3.5/9",
"9.92",
"19"
],
[
"5",
"March 30, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"7.1",
"11",
"3.9/9",
"11.35",
"13"
],
[
"6",
"April 6, 2008",
"Sunday 9:00 P.M.",
"2007-2008",
"5.9",
"9",
"3.2/8",
"9.42",
"27"
],
[
"7",
"April 13, 2008",
"Sunday 8:00 P.M.",
"2007-2008",
"5.6",
"9",
"2.9/9",
"8.88",
"19"
],
[
"8",
"April 20, 2008",
"Sunday 8:00 P.M.",
"2007-2008",
"6.4",
"10",
"3.2/9",
"10.03",
"TBA"
]
] |
[
"3.6/9"
] |
what was the rating share per episode for that episode? || what was the rating share of the episode with the fewest viewers? | of those march episodes, which one had the fewest viewers? | how many oprah episodes aired in march?
|
nt-3882
|
col : model | release date | sensor res., size | lens (35 mm equiv.) zoom, aperture | screen size, pixels | dimensions w (mm) x h (mm) x d (mm) | weight | features row 1 : s01 | aug 22, 2012 | 10.1 mp 3648x2736 1/2.9 in | 29-87 mm (3x) f/3.3-5.9 | 2.5 in 230 kpixel | 77 x 51.2 x 17.2 | 96 g (w/batt.) | ccd sensor, 2.5 in touch screen, 720p hd video recording row 2 : s30 | feb 1, 2012 | 10.1 mp 3648x2736 1/3 in | 29.1-87.3 mm (3x) f/3.3-5 | 2.7 in 230 kpixel | 101.9 x 64.8 x 39.4 | 214 g (w/batt.) | compact drop-resistant and waterproof with large buttons and simple interface (designed for row 3 : s800c | aug 22, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-250 mm (10x) f/3.2-5.8 | 3.5 in 819 kpixel | 111.4 x 60.0 x 27.2 | 184 g (w/batt.) | android 2.3 os, 3.5 in oled touchscreen monitor, gps, row 4 : s1200pj | aug 24, 2011 | 14.1 mp 4320x3240 1/2.3 in | 28-140 mm (5x) f/3.9-5.8 | 3 in 460 kpixel | 107 x 63.4 x 22.6 | 186 g (w/batt.) | ccd sensor, built-in projector, electronic and lens-based row 5 : s2600 | nan | 14.0 mp 4320x3240 1/2.3 in | 26-130 mm (5x) f/3.2-6.5 | 2.7 in 230 kpixel | 93.8 x 58.4 x 19.5 | 121 g (w/batt.) | nan row 6 : s3300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 26-156 mm (6x) f/3.5-6.5 | 2.7 in 230 kpixel | 94.8 x 57.8 x 19.5 | 128 g (w/batt.) | nan row 7 : s4300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 26-156 mm (6x) f/3.5-6.5 | 3 in 460 kpixel | 95.5 x 58.9 x 20.8 | 139 g (w/batt.) | nan row 8 : s6300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-250 mm (10x) f/3.2-5.8 | 2.7 in 230 kpixel | 93.6 x 57.7 x 26.0 | 160 g (w/batt.) | nan row 9 : s6400 | aug 22, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-300 mm (12x) f/3.1-6.5 | 3.0 in 460 kpixel | 95.4 x 58.6 x 26.7 | 150 g (w/batt.) | cmos sensor, lens-based vibration reduction, 10 row 10 : s9200 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-450 mm (18x) f/3.5-5.9 | 3 in 921 kpixel | 108.7 x 59.8 x 30.6 | 209 g (w/batt.) | back-lit cmos sensor, lens-based vibration re row 11 : s9300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-450 mm (18x) f/3.5-5.9 | 3 in 921 kpixel | 108.7 x 62.3 x 30.6 | 215 g (w/batt.) | s9200 with built in gps
|
table_csv/204_878.csv
| 0 |
{
"column_index": [
0,
0,
0,
0,
0
],
"row_index": [
3,
6,
8,
9,
10
]
}
|
[
"which models had a screen size of 3 inches?"
] | 0 |
s1200pj, s4300, s6400, s9200, s9300
|
[
"Model",
"Release date",
"Sensor res., size",
"Lens (35 mm equiv.) zoom, aperture",
"Screen size, pixels",
"Dimensions W (mm) x H (mm) x D (mm)",
"Weight",
"Features"
] |
which models had a screen size of 3 inches?
|
[
[
"S01",
"Aug 22, 2012",
"10.1 MP 3648x2736 1/2.9 in",
"29-87 mm (3x) f/3.3-5.9",
"2.5 in 230 kpixel",
"77 x 51.2 x 17.2",
"96 g (w/batt.)",
"CCD sensor, 2.5 in touch screen, 720p HD video recording"
],
[
"S30",
"Feb 1, 2012",
"10.1 MP 3648x2736 1/3 in",
"29.1-87.3 mm (3x) f/3.3-5",
"2.7 in 230 kpixel",
"101.9 x 64.8 x 39.4",
"214 g (w/batt.)",
"Compact drop-resistant and waterproof with large buttons and simple interface (designed for"
],
[
"S800c",
"Aug 22, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-250 mm (10x) f/3.2-5.8",
"3.5 in 819 kpixel",
"111.4 x 60.0 x 27.2",
"184 g (w/batt.)",
"Android 2.3 OS, 3.5 in OLED touchscreen monitor, GPS,"
],
[
"S1200pj",
"Aug 24, 2011",
"14.1 MP 4320x3240 1/2.3 in",
"28-140 mm (5x) f/3.9-5.8",
"3 in 460 kpixel",
"107 x 63.4 x 22.6",
"186 g (w/batt.)",
"CCD sensor, built-in projector, electronic and lens-based"
],
[
"S2600",
"nan",
"14.0 MP 4320x3240 1/2.3 in",
"26-130 mm (5x) f/3.2-6.5",
"2.7 in 230 kpixel",
"93.8 x 58.4 x 19.5",
"121 g (w/batt.)",
"nan"
],
[
"S3300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"26-156 mm (6x) f/3.5-6.5",
"2.7 in 230 kpixel",
"94.8 x 57.8 x 19.5",
"128 g (w/batt.)",
"nan"
],
[
"S4300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"26-156 mm (6x) f/3.5-6.5",
"3 in 460 kpixel",
"95.5 x 58.9 x 20.8",
"139 g (w/batt.)",
"nan"
],
[
"S6300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-250 mm (10x) f/3.2-5.8",
"2.7 in 230 kpixel",
"93.6 x 57.7 x 26.0",
"160 g (w/batt.)",
"nan"
],
[
"S6400",
"Aug 22, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-300 mm (12x) f/3.1-6.5",
"3.0 in 460 kpixel",
"95.4 x 58.6 x 26.7",
"150 g (w/batt.)",
"CMOS sensor, lens-based Vibration Reduction, 10"
],
[
"S9200",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-450 mm (18x) f/3.5-5.9",
"3 in 921 kpixel",
"108.7 x 59.8 x 30.6",
"209 g (w/batt.)",
"Back-lit CMOS sensor, lens-based Vibration Re"
],
[
"S9300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-450 mm (18x) f/3.5-5.9",
"3 in 921 kpixel",
"108.7 x 62.3 x 30.6",
"215 g (w/batt.)",
"S9200 with built in GPS"
]
] |
[
"S1200pj",
"S4300",
"S6400",
"S9200",
"S9300"
] |
which models had a screen size of 3 inches? ||
|
nt-3882
|
col : model | release date | sensor res., size | lens (35 mm equiv.) zoom, aperture | screen size, pixels | dimensions w (mm) x h (mm) x d (mm) | weight | features row 1 : s01 | aug 22, 2012 | 10.1 mp 3648x2736 1/2.9 in | 29-87 mm (3x) f/3.3-5.9 | 2.5 in 230 kpixel | 77 x 51.2 x 17.2 | 96 g (w/batt.) | ccd sensor, 2.5 in touch screen, 720p hd video recording row 2 : s30 | feb 1, 2012 | 10.1 mp 3648x2736 1/3 in | 29.1-87.3 mm (3x) f/3.3-5 | 2.7 in 230 kpixel | 101.9 x 64.8 x 39.4 | 214 g (w/batt.) | compact drop-resistant and waterproof with large buttons and simple interface (designed for row 3 : s800c | aug 22, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-250 mm (10x) f/3.2-5.8 | 3.5 in 819 kpixel | 111.4 x 60.0 x 27.2 | 184 g (w/batt.) | android 2.3 os, 3.5 in oled touchscreen monitor, gps, row 4 : s1200pj | aug 24, 2011 | 14.1 mp 4320x3240 1/2.3 in | 28-140 mm (5x) f/3.9-5.8 | 3 in 460 kpixel | 107 x 63.4 x 22.6 | 186 g (w/batt.) | ccd sensor, built-in projector, electronic and lens-based row 5 : s2600 | nan | 14.0 mp 4320x3240 1/2.3 in | 26-130 mm (5x) f/3.2-6.5 | 2.7 in 230 kpixel | 93.8 x 58.4 x 19.5 | 121 g (w/batt.) | nan row 6 : s3300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 26-156 mm (6x) f/3.5-6.5 | 2.7 in 230 kpixel | 94.8 x 57.8 x 19.5 | 128 g (w/batt.) | nan row 7 : s4300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 26-156 mm (6x) f/3.5-6.5 | 3 in 460 kpixel | 95.5 x 58.9 x 20.8 | 139 g (w/batt.) | nan row 8 : s6300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-250 mm (10x) f/3.2-5.8 | 2.7 in 230 kpixel | 93.6 x 57.7 x 26.0 | 160 g (w/batt.) | nan row 9 : s6400 | aug 22, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-300 mm (12x) f/3.1-6.5 | 3.0 in 460 kpixel | 95.4 x 58.6 x 26.7 | 150 g (w/batt.) | cmos sensor, lens-based vibration reduction, 10 row 10 : s9200 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-450 mm (18x) f/3.5-5.9 | 3 in 921 kpixel | 108.7 x 59.8 x 30.6 | 209 g (w/batt.) | back-lit cmos sensor, lens-based vibration re row 11 : s9300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-450 mm (18x) f/3.5-5.9 | 3 in 921 kpixel | 108.7 x 62.3 x 30.6 | 215 g (w/batt.) | s9200 with built in gps
|
table_csv/204_878.csv
| 1 |
{
"column_index": [
0
],
"row_index": [
10
]
}
|
[
"which models had a screen size of 3 inches?",
"of these devices, which did not weigh less than 210 g?"
] | 0 |
s9300
|
[
"Model",
"Release date",
"Sensor res., size",
"Lens (35 mm equiv.) zoom, aperture",
"Screen size, pixels",
"Dimensions W (mm) x H (mm) x D (mm)",
"Weight",
"Features"
] |
of these devices, which did not weigh less than 210 g?
|
[
[
"S01",
"Aug 22, 2012",
"10.1 MP 3648x2736 1/2.9 in",
"29-87 mm (3x) f/3.3-5.9",
"2.5 in 230 kpixel",
"77 x 51.2 x 17.2",
"96 g (w/batt.)",
"CCD sensor, 2.5 in touch screen, 720p HD video recording"
],
[
"S30",
"Feb 1, 2012",
"10.1 MP 3648x2736 1/3 in",
"29.1-87.3 mm (3x) f/3.3-5",
"2.7 in 230 kpixel",
"101.9 x 64.8 x 39.4",
"214 g (w/batt.)",
"Compact drop-resistant and waterproof with large buttons and simple interface (designed for"
],
[
"S800c",
"Aug 22, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-250 mm (10x) f/3.2-5.8",
"3.5 in 819 kpixel",
"111.4 x 60.0 x 27.2",
"184 g (w/batt.)",
"Android 2.3 OS, 3.5 in OLED touchscreen monitor, GPS,"
],
[
"S1200pj",
"Aug 24, 2011",
"14.1 MP 4320x3240 1/2.3 in",
"28-140 mm (5x) f/3.9-5.8",
"3 in 460 kpixel",
"107 x 63.4 x 22.6",
"186 g (w/batt.)",
"CCD sensor, built-in projector, electronic and lens-based"
],
[
"S2600",
"nan",
"14.0 MP 4320x3240 1/2.3 in",
"26-130 mm (5x) f/3.2-6.5",
"2.7 in 230 kpixel",
"93.8 x 58.4 x 19.5",
"121 g (w/batt.)",
"nan"
],
[
"S3300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"26-156 mm (6x) f/3.5-6.5",
"2.7 in 230 kpixel",
"94.8 x 57.8 x 19.5",
"128 g (w/batt.)",
"nan"
],
[
"S4300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"26-156 mm (6x) f/3.5-6.5",
"3 in 460 kpixel",
"95.5 x 58.9 x 20.8",
"139 g (w/batt.)",
"nan"
],
[
"S6300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-250 mm (10x) f/3.2-5.8",
"2.7 in 230 kpixel",
"93.6 x 57.7 x 26.0",
"160 g (w/batt.)",
"nan"
],
[
"S6400",
"Aug 22, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-300 mm (12x) f/3.1-6.5",
"3.0 in 460 kpixel",
"95.4 x 58.6 x 26.7",
"150 g (w/batt.)",
"CMOS sensor, lens-based Vibration Reduction, 10"
],
[
"S9200",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-450 mm (18x) f/3.5-5.9",
"3 in 921 kpixel",
"108.7 x 59.8 x 30.6",
"209 g (w/batt.)",
"Back-lit CMOS sensor, lens-based Vibration Re"
],
[
"S9300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-450 mm (18x) f/3.5-5.9",
"3 in 921 kpixel",
"108.7 x 62.3 x 30.6",
"215 g (w/batt.)",
"S9200 with built in GPS"
]
] |
[
"S9300"
] |
of these devices, which did not weigh less than 210 g? || which models had a screen size of 3 inches?
|
nt-3882
|
col : model | release date | sensor res., size | lens (35 mm equiv.) zoom, aperture | screen size, pixels | dimensions w (mm) x h (mm) x d (mm) | weight | features row 1 : s01 | aug 22, 2012 | 10.1 mp 3648x2736 1/2.9 in | 29-87 mm (3x) f/3.3-5.9 | 2.5 in 230 kpixel | 77 x 51.2 x 17.2 | 96 g (w/batt.) | ccd sensor, 2.5 in touch screen, 720p hd video recording row 2 : s30 | feb 1, 2012 | 10.1 mp 3648x2736 1/3 in | 29.1-87.3 mm (3x) f/3.3-5 | 2.7 in 230 kpixel | 101.9 x 64.8 x 39.4 | 214 g (w/batt.) | compact drop-resistant and waterproof with large buttons and simple interface (designed for row 3 : s800c | aug 22, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-250 mm (10x) f/3.2-5.8 | 3.5 in 819 kpixel | 111.4 x 60.0 x 27.2 | 184 g (w/batt.) | android 2.3 os, 3.5 in oled touchscreen monitor, gps, row 4 : s1200pj | aug 24, 2011 | 14.1 mp 4320x3240 1/2.3 in | 28-140 mm (5x) f/3.9-5.8 | 3 in 460 kpixel | 107 x 63.4 x 22.6 | 186 g (w/batt.) | ccd sensor, built-in projector, electronic and lens-based row 5 : s2600 | nan | 14.0 mp 4320x3240 1/2.3 in | 26-130 mm (5x) f/3.2-6.5 | 2.7 in 230 kpixel | 93.8 x 58.4 x 19.5 | 121 g (w/batt.) | nan row 6 : s3300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 26-156 mm (6x) f/3.5-6.5 | 2.7 in 230 kpixel | 94.8 x 57.8 x 19.5 | 128 g (w/batt.) | nan row 7 : s4300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 26-156 mm (6x) f/3.5-6.5 | 3 in 460 kpixel | 95.5 x 58.9 x 20.8 | 139 g (w/batt.) | nan row 8 : s6300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-250 mm (10x) f/3.2-5.8 | 2.7 in 230 kpixel | 93.6 x 57.7 x 26.0 | 160 g (w/batt.) | nan row 9 : s6400 | aug 22, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-300 mm (12x) f/3.1-6.5 | 3.0 in 460 kpixel | 95.4 x 58.6 x 26.7 | 150 g (w/batt.) | cmos sensor, lens-based vibration reduction, 10 row 10 : s9200 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-450 mm (18x) f/3.5-5.9 | 3 in 921 kpixel | 108.7 x 59.8 x 30.6 | 209 g (w/batt.) | back-lit cmos sensor, lens-based vibration re row 11 : s9300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-450 mm (18x) f/3.5-5.9 | 3 in 921 kpixel | 108.7 x 62.3 x 30.6 | 215 g (w/batt.) | s9200 with built in gps
|
table_csv/204_878.csv
| 0 |
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|
[
"what models of coolpix are there?"
] | 1 |
s01, s30, s800c, s1200pj, s2600, s3300, s4300, s6300, s6400, s9200, s9300
|
[
"Model",
"Release date",
"Sensor res., size",
"Lens (35 mm equiv.) zoom, aperture",
"Screen size, pixels",
"Dimensions W (mm) x H (mm) x D (mm)",
"Weight",
"Features"
] |
what models of coolpix are there?
|
[
[
"S01",
"Aug 22, 2012",
"10.1 MP 3648x2736 1/2.9 in",
"29-87 mm (3x) f/3.3-5.9",
"2.5 in 230 kpixel",
"77 x 51.2 x 17.2",
"96 g (w/batt.)",
"CCD sensor, 2.5 in touch screen, 720p HD video recording"
],
[
"S30",
"Feb 1, 2012",
"10.1 MP 3648x2736 1/3 in",
"29.1-87.3 mm (3x) f/3.3-5",
"2.7 in 230 kpixel",
"101.9 x 64.8 x 39.4",
"214 g (w/batt.)",
"Compact drop-resistant and waterproof with large buttons and simple interface (designed for"
],
[
"S800c",
"Aug 22, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-250 mm (10x) f/3.2-5.8",
"3.5 in 819 kpixel",
"111.4 x 60.0 x 27.2",
"184 g (w/batt.)",
"Android 2.3 OS, 3.5 in OLED touchscreen monitor, GPS,"
],
[
"S1200pj",
"Aug 24, 2011",
"14.1 MP 4320x3240 1/2.3 in",
"28-140 mm (5x) f/3.9-5.8",
"3 in 460 kpixel",
"107 x 63.4 x 22.6",
"186 g (w/batt.)",
"CCD sensor, built-in projector, electronic and lens-based"
],
[
"S2600",
"nan",
"14.0 MP 4320x3240 1/2.3 in",
"26-130 mm (5x) f/3.2-6.5",
"2.7 in 230 kpixel",
"93.8 x 58.4 x 19.5",
"121 g (w/batt.)",
"nan"
],
[
"S3300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"26-156 mm (6x) f/3.5-6.5",
"2.7 in 230 kpixel",
"94.8 x 57.8 x 19.5",
"128 g (w/batt.)",
"nan"
],
[
"S4300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"26-156 mm (6x) f/3.5-6.5",
"3 in 460 kpixel",
"95.5 x 58.9 x 20.8",
"139 g (w/batt.)",
"nan"
],
[
"S6300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-250 mm (10x) f/3.2-5.8",
"2.7 in 230 kpixel",
"93.6 x 57.7 x 26.0",
"160 g (w/batt.)",
"nan"
],
[
"S6400",
"Aug 22, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-300 mm (12x) f/3.1-6.5",
"3.0 in 460 kpixel",
"95.4 x 58.6 x 26.7",
"150 g (w/batt.)",
"CMOS sensor, lens-based Vibration Reduction, 10"
],
[
"S9200",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-450 mm (18x) f/3.5-5.9",
"3 in 921 kpixel",
"108.7 x 59.8 x 30.6",
"209 g (w/batt.)",
"Back-lit CMOS sensor, lens-based Vibration Re"
],
[
"S9300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-450 mm (18x) f/3.5-5.9",
"3 in 921 kpixel",
"108.7 x 62.3 x 30.6",
"215 g (w/batt.)",
"S9200 with built in GPS"
]
] |
[
"S01",
"S30",
"S800c",
"S1200pj",
"S2600",
"S3300",
"S4300",
"S6300",
"S6400",
"S9200",
"S9300"
] |
what models of coolpix are there? ||
|
nt-3882
|
col : model | release date | sensor res., size | lens (35 mm equiv.) zoom, aperture | screen size, pixels | dimensions w (mm) x h (mm) x d (mm) | weight | features row 1 : s01 | aug 22, 2012 | 10.1 mp 3648x2736 1/2.9 in | 29-87 mm (3x) f/3.3-5.9 | 2.5 in 230 kpixel | 77 x 51.2 x 17.2 | 96 g (w/batt.) | ccd sensor, 2.5 in touch screen, 720p hd video recording row 2 : s30 | feb 1, 2012 | 10.1 mp 3648x2736 1/3 in | 29.1-87.3 mm (3x) f/3.3-5 | 2.7 in 230 kpixel | 101.9 x 64.8 x 39.4 | 214 g (w/batt.) | compact drop-resistant and waterproof with large buttons and simple interface (designed for row 3 : s800c | aug 22, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-250 mm (10x) f/3.2-5.8 | 3.5 in 819 kpixel | 111.4 x 60.0 x 27.2 | 184 g (w/batt.) | android 2.3 os, 3.5 in oled touchscreen monitor, gps, row 4 : s1200pj | aug 24, 2011 | 14.1 mp 4320x3240 1/2.3 in | 28-140 mm (5x) f/3.9-5.8 | 3 in 460 kpixel | 107 x 63.4 x 22.6 | 186 g (w/batt.) | ccd sensor, built-in projector, electronic and lens-based row 5 : s2600 | nan | 14.0 mp 4320x3240 1/2.3 in | 26-130 mm (5x) f/3.2-6.5 | 2.7 in 230 kpixel | 93.8 x 58.4 x 19.5 | 121 g (w/batt.) | nan row 6 : s3300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 26-156 mm (6x) f/3.5-6.5 | 2.7 in 230 kpixel | 94.8 x 57.8 x 19.5 | 128 g (w/batt.) | nan row 7 : s4300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 26-156 mm (6x) f/3.5-6.5 | 3 in 460 kpixel | 95.5 x 58.9 x 20.8 | 139 g (w/batt.) | nan row 8 : s6300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-250 mm (10x) f/3.2-5.8 | 2.7 in 230 kpixel | 93.6 x 57.7 x 26.0 | 160 g (w/batt.) | nan row 9 : s6400 | aug 22, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-300 mm (12x) f/3.1-6.5 | 3.0 in 460 kpixel | 95.4 x 58.6 x 26.7 | 150 g (w/batt.) | cmos sensor, lens-based vibration reduction, 10 row 10 : s9200 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-450 mm (18x) f/3.5-5.9 | 3 in 921 kpixel | 108.7 x 59.8 x 30.6 | 209 g (w/batt.) | back-lit cmos sensor, lens-based vibration re row 11 : s9300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-450 mm (18x) f/3.5-5.9 | 3 in 921 kpixel | 108.7 x 62.3 x 30.6 | 215 g (w/batt.) | s9200 with built in gps
|
table_csv/204_878.csv
| 1 |
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|
[
"what models of coolpix are there?",
"which ones have a 3 inch screen?"
] | 1 |
s800c, s1200pj, s4300, s6400, s9200, s9300
|
[
"Model",
"Release date",
"Sensor res., size",
"Lens (35 mm equiv.) zoom, aperture",
"Screen size, pixels",
"Dimensions W (mm) x H (mm) x D (mm)",
"Weight",
"Features"
] |
which ones have a 3 inch screen?
|
[
[
"S01",
"Aug 22, 2012",
"10.1 MP 3648x2736 1/2.9 in",
"29-87 mm (3x) f/3.3-5.9",
"2.5 in 230 kpixel",
"77 x 51.2 x 17.2",
"96 g (w/batt.)",
"CCD sensor, 2.5 in touch screen, 720p HD video recording"
],
[
"S30",
"Feb 1, 2012",
"10.1 MP 3648x2736 1/3 in",
"29.1-87.3 mm (3x) f/3.3-5",
"2.7 in 230 kpixel",
"101.9 x 64.8 x 39.4",
"214 g (w/batt.)",
"Compact drop-resistant and waterproof with large buttons and simple interface (designed for"
],
[
"S800c",
"Aug 22, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-250 mm (10x) f/3.2-5.8",
"3.5 in 819 kpixel",
"111.4 x 60.0 x 27.2",
"184 g (w/batt.)",
"Android 2.3 OS, 3.5 in OLED touchscreen monitor, GPS,"
],
[
"S1200pj",
"Aug 24, 2011",
"14.1 MP 4320x3240 1/2.3 in",
"28-140 mm (5x) f/3.9-5.8",
"3 in 460 kpixel",
"107 x 63.4 x 22.6",
"186 g (w/batt.)",
"CCD sensor, built-in projector, electronic and lens-based"
],
[
"S2600",
"nan",
"14.0 MP 4320x3240 1/2.3 in",
"26-130 mm (5x) f/3.2-6.5",
"2.7 in 230 kpixel",
"93.8 x 58.4 x 19.5",
"121 g (w/batt.)",
"nan"
],
[
"S3300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"26-156 mm (6x) f/3.5-6.5",
"2.7 in 230 kpixel",
"94.8 x 57.8 x 19.5",
"128 g (w/batt.)",
"nan"
],
[
"S4300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"26-156 mm (6x) f/3.5-6.5",
"3 in 460 kpixel",
"95.5 x 58.9 x 20.8",
"139 g (w/batt.)",
"nan"
],
[
"S6300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-250 mm (10x) f/3.2-5.8",
"2.7 in 230 kpixel",
"93.6 x 57.7 x 26.0",
"160 g (w/batt.)",
"nan"
],
[
"S6400",
"Aug 22, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-300 mm (12x) f/3.1-6.5",
"3.0 in 460 kpixel",
"95.4 x 58.6 x 26.7",
"150 g (w/batt.)",
"CMOS sensor, lens-based Vibration Reduction, 10"
],
[
"S9200",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-450 mm (18x) f/3.5-5.9",
"3 in 921 kpixel",
"108.7 x 59.8 x 30.6",
"209 g (w/batt.)",
"Back-lit CMOS sensor, lens-based Vibration Re"
],
[
"S9300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-450 mm (18x) f/3.5-5.9",
"3 in 921 kpixel",
"108.7 x 62.3 x 30.6",
"215 g (w/batt.)",
"S9200 with built in GPS"
]
] |
[
"S800c",
"S1200pj",
"S4300",
"S6400",
"S9200",
"S9300"
] |
which ones have a 3 inch screen? || what models of coolpix are there?
|
nt-3882
|
col : model | release date | sensor res., size | lens (35 mm equiv.) zoom, aperture | screen size, pixels | dimensions w (mm) x h (mm) x d (mm) | weight | features row 1 : s01 | aug 22, 2012 | 10.1 mp 3648x2736 1/2.9 in | 29-87 mm (3x) f/3.3-5.9 | 2.5 in 230 kpixel | 77 x 51.2 x 17.2 | 96 g (w/batt.) | ccd sensor, 2.5 in touch screen, 720p hd video recording row 2 : s30 | feb 1, 2012 | 10.1 mp 3648x2736 1/3 in | 29.1-87.3 mm (3x) f/3.3-5 | 2.7 in 230 kpixel | 101.9 x 64.8 x 39.4 | 214 g (w/batt.) | compact drop-resistant and waterproof with large buttons and simple interface (designed for row 3 : s800c | aug 22, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-250 mm (10x) f/3.2-5.8 | 3.5 in 819 kpixel | 111.4 x 60.0 x 27.2 | 184 g (w/batt.) | android 2.3 os, 3.5 in oled touchscreen monitor, gps, row 4 : s1200pj | aug 24, 2011 | 14.1 mp 4320x3240 1/2.3 in | 28-140 mm (5x) f/3.9-5.8 | 3 in 460 kpixel | 107 x 63.4 x 22.6 | 186 g (w/batt.) | ccd sensor, built-in projector, electronic and lens-based row 5 : s2600 | nan | 14.0 mp 4320x3240 1/2.3 in | 26-130 mm (5x) f/3.2-6.5 | 2.7 in 230 kpixel | 93.8 x 58.4 x 19.5 | 121 g (w/batt.) | nan row 6 : s3300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 26-156 mm (6x) f/3.5-6.5 | 2.7 in 230 kpixel | 94.8 x 57.8 x 19.5 | 128 g (w/batt.) | nan row 7 : s4300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 26-156 mm (6x) f/3.5-6.5 | 3 in 460 kpixel | 95.5 x 58.9 x 20.8 | 139 g (w/batt.) | nan row 8 : s6300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-250 mm (10x) f/3.2-5.8 | 2.7 in 230 kpixel | 93.6 x 57.7 x 26.0 | 160 g (w/batt.) | nan row 9 : s6400 | aug 22, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-300 mm (12x) f/3.1-6.5 | 3.0 in 460 kpixel | 95.4 x 58.6 x 26.7 | 150 g (w/batt.) | cmos sensor, lens-based vibration reduction, 10 row 10 : s9200 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-450 mm (18x) f/3.5-5.9 | 3 in 921 kpixel | 108.7 x 59.8 x 30.6 | 209 g (w/batt.) | back-lit cmos sensor, lens-based vibration re row 11 : s9300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-450 mm (18x) f/3.5-5.9 | 3 in 921 kpixel | 108.7 x 62.3 x 30.6 | 215 g (w/batt.) | s9200 with built in gps
|
table_csv/204_878.csv
| 2 |
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0
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|
[
"what models of coolpix are there?",
"which ones have a 3 inch screen?",
"which of those is the heaviest?"
] | 1 |
s9300
|
[
"Model",
"Release date",
"Sensor res., size",
"Lens (35 mm equiv.) zoom, aperture",
"Screen size, pixels",
"Dimensions W (mm) x H (mm) x D (mm)",
"Weight",
"Features"
] |
which of those is the heaviest?
|
[
[
"S01",
"Aug 22, 2012",
"10.1 MP 3648x2736 1/2.9 in",
"29-87 mm (3x) f/3.3-5.9",
"2.5 in 230 kpixel",
"77 x 51.2 x 17.2",
"96 g (w/batt.)",
"CCD sensor, 2.5 in touch screen, 720p HD video recording"
],
[
"S30",
"Feb 1, 2012",
"10.1 MP 3648x2736 1/3 in",
"29.1-87.3 mm (3x) f/3.3-5",
"2.7 in 230 kpixel",
"101.9 x 64.8 x 39.4",
"214 g (w/batt.)",
"Compact drop-resistant and waterproof with large buttons and simple interface (designed for"
],
[
"S800c",
"Aug 22, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-250 mm (10x) f/3.2-5.8",
"3.5 in 819 kpixel",
"111.4 x 60.0 x 27.2",
"184 g (w/batt.)",
"Android 2.3 OS, 3.5 in OLED touchscreen monitor, GPS,"
],
[
"S1200pj",
"Aug 24, 2011",
"14.1 MP 4320x3240 1/2.3 in",
"28-140 mm (5x) f/3.9-5.8",
"3 in 460 kpixel",
"107 x 63.4 x 22.6",
"186 g (w/batt.)",
"CCD sensor, built-in projector, electronic and lens-based"
],
[
"S2600",
"nan",
"14.0 MP 4320x3240 1/2.3 in",
"26-130 mm (5x) f/3.2-6.5",
"2.7 in 230 kpixel",
"93.8 x 58.4 x 19.5",
"121 g (w/batt.)",
"nan"
],
[
"S3300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"26-156 mm (6x) f/3.5-6.5",
"2.7 in 230 kpixel",
"94.8 x 57.8 x 19.5",
"128 g (w/batt.)",
"nan"
],
[
"S4300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"26-156 mm (6x) f/3.5-6.5",
"3 in 460 kpixel",
"95.5 x 58.9 x 20.8",
"139 g (w/batt.)",
"nan"
],
[
"S6300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-250 mm (10x) f/3.2-5.8",
"2.7 in 230 kpixel",
"93.6 x 57.7 x 26.0",
"160 g (w/batt.)",
"nan"
],
[
"S6400",
"Aug 22, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-300 mm (12x) f/3.1-6.5",
"3.0 in 460 kpixel",
"95.4 x 58.6 x 26.7",
"150 g (w/batt.)",
"CMOS sensor, lens-based Vibration Reduction, 10"
],
[
"S9200",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-450 mm (18x) f/3.5-5.9",
"3 in 921 kpixel",
"108.7 x 59.8 x 30.6",
"209 g (w/batt.)",
"Back-lit CMOS sensor, lens-based Vibration Re"
],
[
"S9300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-450 mm (18x) f/3.5-5.9",
"3 in 921 kpixel",
"108.7 x 62.3 x 30.6",
"215 g (w/batt.)",
"S9200 with built in GPS"
]
] |
[
"S9300"
] |
which of those is the heaviest? || which ones have a 3 inch screen? | what models of coolpix are there?
|
nt-3882
|
col : model | release date | sensor res., size | lens (35 mm equiv.) zoom, aperture | screen size, pixels | dimensions w (mm) x h (mm) x d (mm) | weight | features row 1 : s01 | aug 22, 2012 | 10.1 mp 3648x2736 1/2.9 in | 29-87 mm (3x) f/3.3-5.9 | 2.5 in 230 kpixel | 77 x 51.2 x 17.2 | 96 g (w/batt.) | ccd sensor, 2.5 in touch screen, 720p hd video recording row 2 : s30 | feb 1, 2012 | 10.1 mp 3648x2736 1/3 in | 29.1-87.3 mm (3x) f/3.3-5 | 2.7 in 230 kpixel | 101.9 x 64.8 x 39.4 | 214 g (w/batt.) | compact drop-resistant and waterproof with large buttons and simple interface (designed for row 3 : s800c | aug 22, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-250 mm (10x) f/3.2-5.8 | 3.5 in 819 kpixel | 111.4 x 60.0 x 27.2 | 184 g (w/batt.) | android 2.3 os, 3.5 in oled touchscreen monitor, gps, row 4 : s1200pj | aug 24, 2011 | 14.1 mp 4320x3240 1/2.3 in | 28-140 mm (5x) f/3.9-5.8 | 3 in 460 kpixel | 107 x 63.4 x 22.6 | 186 g (w/batt.) | ccd sensor, built-in projector, electronic and lens-based row 5 : s2600 | nan | 14.0 mp 4320x3240 1/2.3 in | 26-130 mm (5x) f/3.2-6.5 | 2.7 in 230 kpixel | 93.8 x 58.4 x 19.5 | 121 g (w/batt.) | nan row 6 : s3300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 26-156 mm (6x) f/3.5-6.5 | 2.7 in 230 kpixel | 94.8 x 57.8 x 19.5 | 128 g (w/batt.) | nan row 7 : s4300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 26-156 mm (6x) f/3.5-6.5 | 3 in 460 kpixel | 95.5 x 58.9 x 20.8 | 139 g (w/batt.) | nan row 8 : s6300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-250 mm (10x) f/3.2-5.8 | 2.7 in 230 kpixel | 93.6 x 57.7 x 26.0 | 160 g (w/batt.) | nan row 9 : s6400 | aug 22, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-300 mm (12x) f/3.1-6.5 | 3.0 in 460 kpixel | 95.4 x 58.6 x 26.7 | 150 g (w/batt.) | cmos sensor, lens-based vibration reduction, 10 row 10 : s9200 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-450 mm (18x) f/3.5-5.9 | 3 in 921 kpixel | 108.7 x 59.8 x 30.6 | 209 g (w/batt.) | back-lit cmos sensor, lens-based vibration re row 11 : s9300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-450 mm (18x) f/3.5-5.9 | 3 in 921 kpixel | 108.7 x 62.3 x 30.6 | 215 g (w/batt.) | s9200 with built in gps
|
table_csv/204_878.csv
| 0 |
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|
[
"what are all the models?"
] | 2 |
s01, s30, s800c, s1200pj, s2600, s3300, s4300, s6300, s6400, s9200, s9300
|
[
"Model",
"Release date",
"Sensor res., size",
"Lens (35 mm equiv.) zoom, aperture",
"Screen size, pixels",
"Dimensions W (mm) x H (mm) x D (mm)",
"Weight",
"Features"
] |
what are all the models?
|
[
[
"S01",
"Aug 22, 2012",
"10.1 MP 3648x2736 1/2.9 in",
"29-87 mm (3x) f/3.3-5.9",
"2.5 in 230 kpixel",
"77 x 51.2 x 17.2",
"96 g (w/batt.)",
"CCD sensor, 2.5 in touch screen, 720p HD video recording"
],
[
"S30",
"Feb 1, 2012",
"10.1 MP 3648x2736 1/3 in",
"29.1-87.3 mm (3x) f/3.3-5",
"2.7 in 230 kpixel",
"101.9 x 64.8 x 39.4",
"214 g (w/batt.)",
"Compact drop-resistant and waterproof with large buttons and simple interface (designed for"
],
[
"S800c",
"Aug 22, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-250 mm (10x) f/3.2-5.8",
"3.5 in 819 kpixel",
"111.4 x 60.0 x 27.2",
"184 g (w/batt.)",
"Android 2.3 OS, 3.5 in OLED touchscreen monitor, GPS,"
],
[
"S1200pj",
"Aug 24, 2011",
"14.1 MP 4320x3240 1/2.3 in",
"28-140 mm (5x) f/3.9-5.8",
"3 in 460 kpixel",
"107 x 63.4 x 22.6",
"186 g (w/batt.)",
"CCD sensor, built-in projector, electronic and lens-based"
],
[
"S2600",
"nan",
"14.0 MP 4320x3240 1/2.3 in",
"26-130 mm (5x) f/3.2-6.5",
"2.7 in 230 kpixel",
"93.8 x 58.4 x 19.5",
"121 g (w/batt.)",
"nan"
],
[
"S3300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"26-156 mm (6x) f/3.5-6.5",
"2.7 in 230 kpixel",
"94.8 x 57.8 x 19.5",
"128 g (w/batt.)",
"nan"
],
[
"S4300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"26-156 mm (6x) f/3.5-6.5",
"3 in 460 kpixel",
"95.5 x 58.9 x 20.8",
"139 g (w/batt.)",
"nan"
],
[
"S6300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-250 mm (10x) f/3.2-5.8",
"2.7 in 230 kpixel",
"93.6 x 57.7 x 26.0",
"160 g (w/batt.)",
"nan"
],
[
"S6400",
"Aug 22, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-300 mm (12x) f/3.1-6.5",
"3.0 in 460 kpixel",
"95.4 x 58.6 x 26.7",
"150 g (w/batt.)",
"CMOS sensor, lens-based Vibration Reduction, 10"
],
[
"S9200",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-450 mm (18x) f/3.5-5.9",
"3 in 921 kpixel",
"108.7 x 59.8 x 30.6",
"209 g (w/batt.)",
"Back-lit CMOS sensor, lens-based Vibration Re"
],
[
"S9300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-450 mm (18x) f/3.5-5.9",
"3 in 921 kpixel",
"108.7 x 62.3 x 30.6",
"215 g (w/batt.)",
"S9200 with built in GPS"
]
] |
[
"S01",
"S30",
"S800c",
"S1200pj",
"S2600",
"S3300",
"S4300",
"S6300",
"S6400",
"S9200",
"S9300"
] |
what are all the models? ||
|
nt-3882
|
col : model | release date | sensor res., size | lens (35 mm equiv.) zoom, aperture | screen size, pixels | dimensions w (mm) x h (mm) x d (mm) | weight | features row 1 : s01 | aug 22, 2012 | 10.1 mp 3648x2736 1/2.9 in | 29-87 mm (3x) f/3.3-5.9 | 2.5 in 230 kpixel | 77 x 51.2 x 17.2 | 96 g (w/batt.) | ccd sensor, 2.5 in touch screen, 720p hd video recording row 2 : s30 | feb 1, 2012 | 10.1 mp 3648x2736 1/3 in | 29.1-87.3 mm (3x) f/3.3-5 | 2.7 in 230 kpixel | 101.9 x 64.8 x 39.4 | 214 g (w/batt.) | compact drop-resistant and waterproof with large buttons and simple interface (designed for row 3 : s800c | aug 22, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-250 mm (10x) f/3.2-5.8 | 3.5 in 819 kpixel | 111.4 x 60.0 x 27.2 | 184 g (w/batt.) | android 2.3 os, 3.5 in oled touchscreen monitor, gps, row 4 : s1200pj | aug 24, 2011 | 14.1 mp 4320x3240 1/2.3 in | 28-140 mm (5x) f/3.9-5.8 | 3 in 460 kpixel | 107 x 63.4 x 22.6 | 186 g (w/batt.) | ccd sensor, built-in projector, electronic and lens-based row 5 : s2600 | nan | 14.0 mp 4320x3240 1/2.3 in | 26-130 mm (5x) f/3.2-6.5 | 2.7 in 230 kpixel | 93.8 x 58.4 x 19.5 | 121 g (w/batt.) | nan row 6 : s3300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 26-156 mm (6x) f/3.5-6.5 | 2.7 in 230 kpixel | 94.8 x 57.8 x 19.5 | 128 g (w/batt.) | nan row 7 : s4300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 26-156 mm (6x) f/3.5-6.5 | 3 in 460 kpixel | 95.5 x 58.9 x 20.8 | 139 g (w/batt.) | nan row 8 : s6300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-250 mm (10x) f/3.2-5.8 | 2.7 in 230 kpixel | 93.6 x 57.7 x 26.0 | 160 g (w/batt.) | nan row 9 : s6400 | aug 22, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-300 mm (12x) f/3.1-6.5 | 3.0 in 460 kpixel | 95.4 x 58.6 x 26.7 | 150 g (w/batt.) | cmos sensor, lens-based vibration reduction, 10 row 10 : s9200 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-450 mm (18x) f/3.5-5.9 | 3 in 921 kpixel | 108.7 x 59.8 x 30.6 | 209 g (w/batt.) | back-lit cmos sensor, lens-based vibration re row 11 : s9300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-450 mm (18x) f/3.5-5.9 | 3 in 921 kpixel | 108.7 x 62.3 x 30.6 | 215 g (w/batt.) | s9200 with built in gps
|
table_csv/204_878.csv
| 1 |
{
"column_index": [
0,
0,
0,
0,
0
],
"row_index": [
3,
6,
8,
9,
10
]
}
|
[
"what are all the models?",
"which of these had a screen size of three inches?"
] | 2 |
s1200pj, s4300, s6400, s9200, s9300
|
[
"Model",
"Release date",
"Sensor res., size",
"Lens (35 mm equiv.) zoom, aperture",
"Screen size, pixels",
"Dimensions W (mm) x H (mm) x D (mm)",
"Weight",
"Features"
] |
which of these had a screen size of three inches?
|
[
[
"S01",
"Aug 22, 2012",
"10.1 MP 3648x2736 1/2.9 in",
"29-87 mm (3x) f/3.3-5.9",
"2.5 in 230 kpixel",
"77 x 51.2 x 17.2",
"96 g (w/batt.)",
"CCD sensor, 2.5 in touch screen, 720p HD video recording"
],
[
"S30",
"Feb 1, 2012",
"10.1 MP 3648x2736 1/3 in",
"29.1-87.3 mm (3x) f/3.3-5",
"2.7 in 230 kpixel",
"101.9 x 64.8 x 39.4",
"214 g (w/batt.)",
"Compact drop-resistant and waterproof with large buttons and simple interface (designed for"
],
[
"S800c",
"Aug 22, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-250 mm (10x) f/3.2-5.8",
"3.5 in 819 kpixel",
"111.4 x 60.0 x 27.2",
"184 g (w/batt.)",
"Android 2.3 OS, 3.5 in OLED touchscreen monitor, GPS,"
],
[
"S1200pj",
"Aug 24, 2011",
"14.1 MP 4320x3240 1/2.3 in",
"28-140 mm (5x) f/3.9-5.8",
"3 in 460 kpixel",
"107 x 63.4 x 22.6",
"186 g (w/batt.)",
"CCD sensor, built-in projector, electronic and lens-based"
],
[
"S2600",
"nan",
"14.0 MP 4320x3240 1/2.3 in",
"26-130 mm (5x) f/3.2-6.5",
"2.7 in 230 kpixel",
"93.8 x 58.4 x 19.5",
"121 g (w/batt.)",
"nan"
],
[
"S3300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"26-156 mm (6x) f/3.5-6.5",
"2.7 in 230 kpixel",
"94.8 x 57.8 x 19.5",
"128 g (w/batt.)",
"nan"
],
[
"S4300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"26-156 mm (6x) f/3.5-6.5",
"3 in 460 kpixel",
"95.5 x 58.9 x 20.8",
"139 g (w/batt.)",
"nan"
],
[
"S6300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-250 mm (10x) f/3.2-5.8",
"2.7 in 230 kpixel",
"93.6 x 57.7 x 26.0",
"160 g (w/batt.)",
"nan"
],
[
"S6400",
"Aug 22, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-300 mm (12x) f/3.1-6.5",
"3.0 in 460 kpixel",
"95.4 x 58.6 x 26.7",
"150 g (w/batt.)",
"CMOS sensor, lens-based Vibration Reduction, 10"
],
[
"S9200",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-450 mm (18x) f/3.5-5.9",
"3 in 921 kpixel",
"108.7 x 59.8 x 30.6",
"209 g (w/batt.)",
"Back-lit CMOS sensor, lens-based Vibration Re"
],
[
"S9300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-450 mm (18x) f/3.5-5.9",
"3 in 921 kpixel",
"108.7 x 62.3 x 30.6",
"215 g (w/batt.)",
"S9200 with built in GPS"
]
] |
[
"S1200pj",
"S4300",
"S6400",
"S9200",
"S9300"
] |
which of these had a screen size of three inches? || what are all the models?
|
nt-3882
|
col : model | release date | sensor res., size | lens (35 mm equiv.) zoom, aperture | screen size, pixels | dimensions w (mm) x h (mm) x d (mm) | weight | features row 1 : s01 | aug 22, 2012 | 10.1 mp 3648x2736 1/2.9 in | 29-87 mm (3x) f/3.3-5.9 | 2.5 in 230 kpixel | 77 x 51.2 x 17.2 | 96 g (w/batt.) | ccd sensor, 2.5 in touch screen, 720p hd video recording row 2 : s30 | feb 1, 2012 | 10.1 mp 3648x2736 1/3 in | 29.1-87.3 mm (3x) f/3.3-5 | 2.7 in 230 kpixel | 101.9 x 64.8 x 39.4 | 214 g (w/batt.) | compact drop-resistant and waterproof with large buttons and simple interface (designed for row 3 : s800c | aug 22, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-250 mm (10x) f/3.2-5.8 | 3.5 in 819 kpixel | 111.4 x 60.0 x 27.2 | 184 g (w/batt.) | android 2.3 os, 3.5 in oled touchscreen monitor, gps, row 4 : s1200pj | aug 24, 2011 | 14.1 mp 4320x3240 1/2.3 in | 28-140 mm (5x) f/3.9-5.8 | 3 in 460 kpixel | 107 x 63.4 x 22.6 | 186 g (w/batt.) | ccd sensor, built-in projector, electronic and lens-based row 5 : s2600 | nan | 14.0 mp 4320x3240 1/2.3 in | 26-130 mm (5x) f/3.2-6.5 | 2.7 in 230 kpixel | 93.8 x 58.4 x 19.5 | 121 g (w/batt.) | nan row 6 : s3300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 26-156 mm (6x) f/3.5-6.5 | 2.7 in 230 kpixel | 94.8 x 57.8 x 19.5 | 128 g (w/batt.) | nan row 7 : s4300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 26-156 mm (6x) f/3.5-6.5 | 3 in 460 kpixel | 95.5 x 58.9 x 20.8 | 139 g (w/batt.) | nan row 8 : s6300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-250 mm (10x) f/3.2-5.8 | 2.7 in 230 kpixel | 93.6 x 57.7 x 26.0 | 160 g (w/batt.) | nan row 9 : s6400 | aug 22, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-300 mm (12x) f/3.1-6.5 | 3.0 in 460 kpixel | 95.4 x 58.6 x 26.7 | 150 g (w/batt.) | cmos sensor, lens-based vibration reduction, 10 row 10 : s9200 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-450 mm (18x) f/3.5-5.9 | 3 in 921 kpixel | 108.7 x 59.8 x 30.6 | 209 g (w/batt.) | back-lit cmos sensor, lens-based vibration re row 11 : s9300 | feb 1, 2012 | 16.0 mp 4608x3456 1/2.3 in | 25-450 mm (18x) f/3.5-5.9 | 3 in 921 kpixel | 108.7 x 62.3 x 30.6 | 215 g (w/batt.) | s9200 with built in gps
|
table_csv/204_878.csv
| 2 |
{
"column_index": [
0
],
"row_index": [
10
]
}
|
[
"what are all the models?",
"which of these had a screen size of three inches?",
"which of these weighed at least 210 g?"
] | 2 |
s9300
|
[
"Model",
"Release date",
"Sensor res., size",
"Lens (35 mm equiv.) zoom, aperture",
"Screen size, pixels",
"Dimensions W (mm) x H (mm) x D (mm)",
"Weight",
"Features"
] |
which of these weighed at least 210 g?
|
[
[
"S01",
"Aug 22, 2012",
"10.1 MP 3648x2736 1/2.9 in",
"29-87 mm (3x) f/3.3-5.9",
"2.5 in 230 kpixel",
"77 x 51.2 x 17.2",
"96 g (w/batt.)",
"CCD sensor, 2.5 in touch screen, 720p HD video recording"
],
[
"S30",
"Feb 1, 2012",
"10.1 MP 3648x2736 1/3 in",
"29.1-87.3 mm (3x) f/3.3-5",
"2.7 in 230 kpixel",
"101.9 x 64.8 x 39.4",
"214 g (w/batt.)",
"Compact drop-resistant and waterproof with large buttons and simple interface (designed for"
],
[
"S800c",
"Aug 22, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-250 mm (10x) f/3.2-5.8",
"3.5 in 819 kpixel",
"111.4 x 60.0 x 27.2",
"184 g (w/batt.)",
"Android 2.3 OS, 3.5 in OLED touchscreen monitor, GPS,"
],
[
"S1200pj",
"Aug 24, 2011",
"14.1 MP 4320x3240 1/2.3 in",
"28-140 mm (5x) f/3.9-5.8",
"3 in 460 kpixel",
"107 x 63.4 x 22.6",
"186 g (w/batt.)",
"CCD sensor, built-in projector, electronic and lens-based"
],
[
"S2600",
"nan",
"14.0 MP 4320x3240 1/2.3 in",
"26-130 mm (5x) f/3.2-6.5",
"2.7 in 230 kpixel",
"93.8 x 58.4 x 19.5",
"121 g (w/batt.)",
"nan"
],
[
"S3300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"26-156 mm (6x) f/3.5-6.5",
"2.7 in 230 kpixel",
"94.8 x 57.8 x 19.5",
"128 g (w/batt.)",
"nan"
],
[
"S4300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"26-156 mm (6x) f/3.5-6.5",
"3 in 460 kpixel",
"95.5 x 58.9 x 20.8",
"139 g (w/batt.)",
"nan"
],
[
"S6300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-250 mm (10x) f/3.2-5.8",
"2.7 in 230 kpixel",
"93.6 x 57.7 x 26.0",
"160 g (w/batt.)",
"nan"
],
[
"S6400",
"Aug 22, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-300 mm (12x) f/3.1-6.5",
"3.0 in 460 kpixel",
"95.4 x 58.6 x 26.7",
"150 g (w/batt.)",
"CMOS sensor, lens-based Vibration Reduction, 10"
],
[
"S9200",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-450 mm (18x) f/3.5-5.9",
"3 in 921 kpixel",
"108.7 x 59.8 x 30.6",
"209 g (w/batt.)",
"Back-lit CMOS sensor, lens-based Vibration Re"
],
[
"S9300",
"Feb 1, 2012",
"16.0 MP 4608x3456 1/2.3 in",
"25-450 mm (18x) f/3.5-5.9",
"3 in 921 kpixel",
"108.7 x 62.3 x 30.6",
"215 g (w/batt.)",
"S9200 with built in GPS"
]
] |
[
"S9300"
] |
which of these weighed at least 210 g? || which of these had a screen size of three inches? | what are all the models?
|
nt-9494
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 | 0 | 1 | 2 row 8 : 8 | mexico | 0 | 2 | 1 | 3 row 9 : 9 | indonesia | 0 | 1 | 0 | 1 row 10 : 10 | france | 0 | 0 | 2 | 2 row 11 : 11 | australia | 0 | 0 | 1 | 1 row 12 : 11 | canada | 0 | 0 | 1 | 1 row 13 : 11 | ivory coast | 0 | 0 | 1 | 1 row 14 : 11 | denmark | 0 | 0 | 1 | 1 row 15 : 11 | italy | 0 | 0 | 1 | 1 row 16 : 11 | jordan | 0 | 0 | 1 | 1 row 17 : 11 | nepal | 0 | 0 | 1 | 1 row 18 : 11 | switzerland | 0 | 0 | 1 | 1 row 19 : total | total | 16 | 16 | 32 | 64
|
table_csv/204_311.csv
| 0 |
{
"column_index": [
5
],
"row_index": [
7
]
}
|
[
"how many medals did mexico have?"
] | 0 |
3
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
how many medals did mexico have?
|
[
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
"1",
"1",
"2",
"4"
],
[
"6",
"West Germany",
"1",
"0",
"3",
"4"
],
[
"7",
"Netherlands",
"1",
"0",
"1",
"2"
],
[
"8",
"Mexico",
"0",
"2",
"1",
"3"
],
[
"9",
"Indonesia",
"0",
"1",
"0",
"1"
],
[
"10",
"France",
"0",
"0",
"2",
"2"
],
[
"11",
"Australia",
"0",
"0",
"1",
"1"
],
[
"11",
"Canada",
"0",
"0",
"1",
"1"
],
[
"11",
"Ivory Coast",
"0",
"0",
"1",
"1"
],
[
"11",
"Denmark",
"0",
"0",
"1",
"1"
],
[
"11",
"Italy",
"0",
"0",
"1",
"1"
],
[
"11",
"Jordan",
"0",
"0",
"1",
"1"
],
[
"11",
"Nepal",
"0",
"0",
"1",
"1"
],
[
"11",
"Switzerland",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"16",
"16",
"32",
"64"
]
] |
[
"3"
] |
how many medals did mexico have? ||
|
nt-9494
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 | 0 | 1 | 2 row 8 : 8 | mexico | 0 | 2 | 1 | 3 row 9 : 9 | indonesia | 0 | 1 | 0 | 1 row 10 : 10 | france | 0 | 0 | 2 | 2 row 11 : 11 | australia | 0 | 0 | 1 | 1 row 12 : 11 | canada | 0 | 0 | 1 | 1 row 13 : 11 | ivory coast | 0 | 0 | 1 | 1 row 14 : 11 | denmark | 0 | 0 | 1 | 1 row 15 : 11 | italy | 0 | 0 | 1 | 1 row 16 : 11 | jordan | 0 | 0 | 1 | 1 row 17 : 11 | nepal | 0 | 0 | 1 | 1 row 18 : 11 | switzerland | 0 | 0 | 1 | 1 row 19 : total | total | 16 | 16 | 32 | 64
|
table_csv/204_311.csv
| 1 |
{
"column_index": [
5
],
"row_index": [
4
]
}
|
[
"how many medals did mexico have?",
"how many medals did turkey have?"
] | 0 |
4
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
how many medals did turkey have?
|
[
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
"1",
"1",
"2",
"4"
],
[
"6",
"West Germany",
"1",
"0",
"3",
"4"
],
[
"7",
"Netherlands",
"1",
"0",
"1",
"2"
],
[
"8",
"Mexico",
"0",
"2",
"1",
"3"
],
[
"9",
"Indonesia",
"0",
"1",
"0",
"1"
],
[
"10",
"France",
"0",
"0",
"2",
"2"
],
[
"11",
"Australia",
"0",
"0",
"1",
"1"
],
[
"11",
"Canada",
"0",
"0",
"1",
"1"
],
[
"11",
"Ivory Coast",
"0",
"0",
"1",
"1"
],
[
"11",
"Denmark",
"0",
"0",
"1",
"1"
],
[
"11",
"Italy",
"0",
"0",
"1",
"1"
],
[
"11",
"Jordan",
"0",
"0",
"1",
"1"
],
[
"11",
"Nepal",
"0",
"0",
"1",
"1"
],
[
"11",
"Switzerland",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"16",
"16",
"32",
"64"
]
] |
[
"4"
] |
how many medals did turkey have? || how many medals did mexico have?
|
nt-9494
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 | 0 | 1 | 2 row 8 : 8 | mexico | 0 | 2 | 1 | 3 row 9 : 9 | indonesia | 0 | 1 | 0 | 1 row 10 : 10 | france | 0 | 0 | 2 | 2 row 11 : 11 | australia | 0 | 0 | 1 | 1 row 12 : 11 | canada | 0 | 0 | 1 | 1 row 13 : 11 | ivory coast | 0 | 0 | 1 | 1 row 14 : 11 | denmark | 0 | 0 | 1 | 1 row 15 : 11 | italy | 0 | 0 | 1 | 1 row 16 : 11 | jordan | 0 | 0 | 1 | 1 row 17 : 11 | nepal | 0 | 0 | 1 | 1 row 18 : 11 | switzerland | 0 | 0 | 1 | 1 row 19 : total | total | 16 | 16 | 32 | 64
|
table_csv/204_311.csv
| 2 |
{
"column_index": [
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3
]
}
|
[
"how many medals did mexico have?",
"how many medals did turkey have?",
"which nations have more than the combination of mexico and turkey?"
] | 0 |
south korea, chinese taipei, spain, united states
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
which nations have more than the combination of mexico and turkey?
|
[
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
"1",
"1",
"2",
"4"
],
[
"6",
"West Germany",
"1",
"0",
"3",
"4"
],
[
"7",
"Netherlands",
"1",
"0",
"1",
"2"
],
[
"8",
"Mexico",
"0",
"2",
"1",
"3"
],
[
"9",
"Indonesia",
"0",
"1",
"0",
"1"
],
[
"10",
"France",
"0",
"0",
"2",
"2"
],
[
"11",
"Australia",
"0",
"0",
"1",
"1"
],
[
"11",
"Canada",
"0",
"0",
"1",
"1"
],
[
"11",
"Ivory Coast",
"0",
"0",
"1",
"1"
],
[
"11",
"Denmark",
"0",
"0",
"1",
"1"
],
[
"11",
"Italy",
"0",
"0",
"1",
"1"
],
[
"11",
"Jordan",
"0",
"0",
"1",
"1"
],
[
"11",
"Nepal",
"0",
"0",
"1",
"1"
],
[
"11",
"Switzerland",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"16",
"16",
"32",
"64"
]
] |
[
"South Korea",
"Chinese Taipei",
"Spain",
"United States"
] |
which nations have more than the combination of mexico and turkey? || how many medals did turkey have? | how many medals did mexico have?
|
nt-9494
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 | 0 | 1 | 2 row 8 : 8 | mexico | 0 | 2 | 1 | 3 row 9 : 9 | indonesia | 0 | 1 | 0 | 1 row 10 : 10 | france | 0 | 0 | 2 | 2 row 11 : 11 | australia | 0 | 0 | 1 | 1 row 12 : 11 | canada | 0 | 0 | 1 | 1 row 13 : 11 | ivory coast | 0 | 0 | 1 | 1 row 14 : 11 | denmark | 0 | 0 | 1 | 1 row 15 : 11 | italy | 0 | 0 | 1 | 1 row 16 : 11 | jordan | 0 | 0 | 1 | 1 row 17 : 11 | nepal | 0 | 0 | 1 | 1 row 18 : 11 | switzerland | 0 | 0 | 1 | 1 row 19 : total | total | 16 | 16 | 32 | 64
|
table_csv/204_311.csv
| 3 |
{
"column_index": [
1
],
"row_index": [
1
]
}
|
[
"how many medals did mexico have?",
"how many medals did turkey have?",
"which nations have more than the combination of mexico and turkey?",
"which nation is the closest to the amount both mexico and turkey have together?"
] | 0 |
chinese taipei
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
which nation is the closest to the amount both mexico and turkey have together?
|
[
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
"1",
"1",
"2",
"4"
],
[
"6",
"West Germany",
"1",
"0",
"3",
"4"
],
[
"7",
"Netherlands",
"1",
"0",
"1",
"2"
],
[
"8",
"Mexico",
"0",
"2",
"1",
"3"
],
[
"9",
"Indonesia",
"0",
"1",
"0",
"1"
],
[
"10",
"France",
"0",
"0",
"2",
"2"
],
[
"11",
"Australia",
"0",
"0",
"1",
"1"
],
[
"11",
"Canada",
"0",
"0",
"1",
"1"
],
[
"11",
"Ivory Coast",
"0",
"0",
"1",
"1"
],
[
"11",
"Denmark",
"0",
"0",
"1",
"1"
],
[
"11",
"Italy",
"0",
"0",
"1",
"1"
],
[
"11",
"Jordan",
"0",
"0",
"1",
"1"
],
[
"11",
"Nepal",
"0",
"0",
"1",
"1"
],
[
"11",
"Switzerland",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"16",
"16",
"32",
"64"
]
] |
[
"Chinese Taipei"
] |
which nation is the closest to the amount both mexico and turkey have together? || which nations have more than the combination of mexico and turkey? | how many medals did turkey have? | how many medals did mexico have?
|
nt-9494
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 | 0 | 1 | 2 row 8 : 8 | mexico | 0 | 2 | 1 | 3 row 9 : 9 | indonesia | 0 | 1 | 0 | 1 row 10 : 10 | france | 0 | 0 | 2 | 2 row 11 : 11 | australia | 0 | 0 | 1 | 1 row 12 : 11 | canada | 0 | 0 | 1 | 1 row 13 : 11 | ivory coast | 0 | 0 | 1 | 1 row 14 : 11 | denmark | 0 | 0 | 1 | 1 row 15 : 11 | italy | 0 | 0 | 1 | 1 row 16 : 11 | jordan | 0 | 0 | 1 | 1 row 17 : 11 | nepal | 0 | 0 | 1 | 1 row 18 : 11 | switzerland | 0 | 0 | 1 | 1 row 19 : total | total | 16 | 16 | 32 | 64
|
table_csv/204_311.csv
| 0 |
{
"column_index": [
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6
]
}
|
[
"what nations won gold medals in the 1987 world taekwondo championships?"
] | 1 |
south korea, chinese taipei, spain, united states, turkey, west germany, netherlands
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
what nations won gold medals in the 1987 world taekwondo championships?
|
[
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
"1",
"1",
"2",
"4"
],
[
"6",
"West Germany",
"1",
"0",
"3",
"4"
],
[
"7",
"Netherlands",
"1",
"0",
"1",
"2"
],
[
"8",
"Mexico",
"0",
"2",
"1",
"3"
],
[
"9",
"Indonesia",
"0",
"1",
"0",
"1"
],
[
"10",
"France",
"0",
"0",
"2",
"2"
],
[
"11",
"Australia",
"0",
"0",
"1",
"1"
],
[
"11",
"Canada",
"0",
"0",
"1",
"1"
],
[
"11",
"Ivory Coast",
"0",
"0",
"1",
"1"
],
[
"11",
"Denmark",
"0",
"0",
"1",
"1"
],
[
"11",
"Italy",
"0",
"0",
"1",
"1"
],
[
"11",
"Jordan",
"0",
"0",
"1",
"1"
],
[
"11",
"Nepal",
"0",
"0",
"1",
"1"
],
[
"11",
"Switzerland",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"16",
"16",
"32",
"64"
]
] |
[
"South Korea",
"Chinese Taipei",
"Spain",
"United States",
"Turkey",
"West Germany",
"Netherlands"
] |
what nations won gold medals in the 1987 world taekwondo championships? ||
|
nt-9494
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 | 0 | 1 | 2 row 8 : 8 | mexico | 0 | 2 | 1 | 3 row 9 : 9 | indonesia | 0 | 1 | 0 | 1 row 10 : 10 | france | 0 | 0 | 2 | 2 row 11 : 11 | australia | 0 | 0 | 1 | 1 row 12 : 11 | canada | 0 | 0 | 1 | 1 row 13 : 11 | ivory coast | 0 | 0 | 1 | 1 row 14 : 11 | denmark | 0 | 0 | 1 | 1 row 15 : 11 | italy | 0 | 0 | 1 | 1 row 16 : 11 | jordan | 0 | 0 | 1 | 1 row 17 : 11 | nepal | 0 | 0 | 1 | 1 row 18 : 11 | switzerland | 0 | 0 | 1 | 1 row 19 : total | total | 16 | 16 | 32 | 64
|
table_csv/204_311.csv
| 1 |
{
"column_index": [
1,
1,
1,
1,
1
],
"row_index": [
1,
2,
3,
4,
5
]
}
|
[
"what nations won gold medals in the 1987 world taekwondo championships?",
"which of these won more than 1 bronze?"
] | 1 |
chinese taipei, spain, united states, turkey, west germany
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
which of these won more than 1 bronze?
|
[
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
"1",
"1",
"2",
"4"
],
[
"6",
"West Germany",
"1",
"0",
"3",
"4"
],
[
"7",
"Netherlands",
"1",
"0",
"1",
"2"
],
[
"8",
"Mexico",
"0",
"2",
"1",
"3"
],
[
"9",
"Indonesia",
"0",
"1",
"0",
"1"
],
[
"10",
"France",
"0",
"0",
"2",
"2"
],
[
"11",
"Australia",
"0",
"0",
"1",
"1"
],
[
"11",
"Canada",
"0",
"0",
"1",
"1"
],
[
"11",
"Ivory Coast",
"0",
"0",
"1",
"1"
],
[
"11",
"Denmark",
"0",
"0",
"1",
"1"
],
[
"11",
"Italy",
"0",
"0",
"1",
"1"
],
[
"11",
"Jordan",
"0",
"0",
"1",
"1"
],
[
"11",
"Nepal",
"0",
"0",
"1",
"1"
],
[
"11",
"Switzerland",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"16",
"16",
"32",
"64"
]
] |
[
"Chinese Taipei",
"Spain",
"United States",
"Turkey",
"West Germany"
] |
which of these won more than 1 bronze? || what nations won gold medals in the 1987 world taekwondo championships?
|
nt-9494
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 | 0 | 1 | 2 row 8 : 8 | mexico | 0 | 2 | 1 | 3 row 9 : 9 | indonesia | 0 | 1 | 0 | 1 row 10 : 10 | france | 0 | 0 | 2 | 2 row 11 : 11 | australia | 0 | 0 | 1 | 1 row 12 : 11 | canada | 0 | 0 | 1 | 1 row 13 : 11 | ivory coast | 0 | 0 | 1 | 1 row 14 : 11 | denmark | 0 | 0 | 1 | 1 row 15 : 11 | italy | 0 | 0 | 1 | 1 row 16 : 11 | jordan | 0 | 0 | 1 | 1 row 17 : 11 | nepal | 0 | 0 | 1 | 1 row 18 : 11 | switzerland | 0 | 0 | 1 | 1 row 19 : total | total | 16 | 16 | 32 | 64
|
table_csv/204_311.csv
| 2 |
{
"column_index": [
1,
1,
1
],
"row_index": [
1,
4,
5
]
}
|
[
"what nations won gold medals in the 1987 world taekwondo championships?",
"which of these won more than 1 bronze?",
"which of those nations won less then 10 medals total?"
] | 1 |
chinese taipei, turkey, west germany
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
which of those nations won less then 10 medals total?
|
[
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
"1",
"1",
"2",
"4"
],
[
"6",
"West Germany",
"1",
"0",
"3",
"4"
],
[
"7",
"Netherlands",
"1",
"0",
"1",
"2"
],
[
"8",
"Mexico",
"0",
"2",
"1",
"3"
],
[
"9",
"Indonesia",
"0",
"1",
"0",
"1"
],
[
"10",
"France",
"0",
"0",
"2",
"2"
],
[
"11",
"Australia",
"0",
"0",
"1",
"1"
],
[
"11",
"Canada",
"0",
"0",
"1",
"1"
],
[
"11",
"Ivory Coast",
"0",
"0",
"1",
"1"
],
[
"11",
"Denmark",
"0",
"0",
"1",
"1"
],
[
"11",
"Italy",
"0",
"0",
"1",
"1"
],
[
"11",
"Jordan",
"0",
"0",
"1",
"1"
],
[
"11",
"Nepal",
"0",
"0",
"1",
"1"
],
[
"11",
"Switzerland",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"16",
"16",
"32",
"64"
]
] |
[
"Chinese Taipei",
"Turkey",
"West Germany"
] |
which of those nations won less then 10 medals total? || which of these won more than 1 bronze? | what nations won gold medals in the 1987 world taekwondo championships?
|
nt-9494
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 | 0 | 1 | 2 row 8 : 8 | mexico | 0 | 2 | 1 | 3 row 9 : 9 | indonesia | 0 | 1 | 0 | 1 row 10 : 10 | france | 0 | 0 | 2 | 2 row 11 : 11 | australia | 0 | 0 | 1 | 1 row 12 : 11 | canada | 0 | 0 | 1 | 1 row 13 : 11 | ivory coast | 0 | 0 | 1 | 1 row 14 : 11 | denmark | 0 | 0 | 1 | 1 row 15 : 11 | italy | 0 | 0 | 1 | 1 row 16 : 11 | jordan | 0 | 0 | 1 | 1 row 17 : 11 | nepal | 0 | 0 | 1 | 1 row 18 : 11 | switzerland | 0 | 0 | 1 | 1 row 19 : total | total | 16 | 16 | 32 | 64
|
table_csv/204_311.csv
| 3 |
{
"column_index": [
1,
1
],
"row_index": [
1,
5
]
}
|
[
"what nations won gold medals in the 1987 world taekwondo championships?",
"which of these won more than 1 bronze?",
"which of those nations won less then 10 medals total?",
"of these which ones tied for the number of bronze?"
] | 1 |
chinese taipei, west germany
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
of these which ones tied for the number of bronze?
|
[
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
"1",
"1",
"2",
"4"
],
[
"6",
"West Germany",
"1",
"0",
"3",
"4"
],
[
"7",
"Netherlands",
"1",
"0",
"1",
"2"
],
[
"8",
"Mexico",
"0",
"2",
"1",
"3"
],
[
"9",
"Indonesia",
"0",
"1",
"0",
"1"
],
[
"10",
"France",
"0",
"0",
"2",
"2"
],
[
"11",
"Australia",
"0",
"0",
"1",
"1"
],
[
"11",
"Canada",
"0",
"0",
"1",
"1"
],
[
"11",
"Ivory Coast",
"0",
"0",
"1",
"1"
],
[
"11",
"Denmark",
"0",
"0",
"1",
"1"
],
[
"11",
"Italy",
"0",
"0",
"1",
"1"
],
[
"11",
"Jordan",
"0",
"0",
"1",
"1"
],
[
"11",
"Nepal",
"0",
"0",
"1",
"1"
],
[
"11",
"Switzerland",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"16",
"16",
"32",
"64"
]
] |
[
"Chinese Taipei",
"West Germany"
] |
of these which ones tied for the number of bronze? || which of those nations won less then 10 medals total? | which of these won more than 1 bronze? | what nations won gold medals in the 1987 world taekwondo championships?
|
nt-9494
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 | 0 | 1 | 2 row 8 : 8 | mexico | 0 | 2 | 1 | 3 row 9 : 9 | indonesia | 0 | 1 | 0 | 1 row 10 : 10 | france | 0 | 0 | 2 | 2 row 11 : 11 | australia | 0 | 0 | 1 | 1 row 12 : 11 | canada | 0 | 0 | 1 | 1 row 13 : 11 | ivory coast | 0 | 0 | 1 | 1 row 14 : 11 | denmark | 0 | 0 | 1 | 1 row 15 : 11 | italy | 0 | 0 | 1 | 1 row 16 : 11 | jordan | 0 | 0 | 1 | 1 row 17 : 11 | nepal | 0 | 0 | 1 | 1 row 18 : 11 | switzerland | 0 | 0 | 1 | 1 row 19 : total | total | 16 | 16 | 32 | 64
|
table_csv/204_311.csv
| 4 |
{
"column_index": [
1
],
"row_index": [
1
]
}
|
[
"what nations won gold medals in the 1987 world taekwondo championships?",
"which of these won more than 1 bronze?",
"which of those nations won less then 10 medals total?",
"of these which ones tied for the number of bronze?",
"which of these won silver medals?"
] | 1 |
chinese taipei
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
which of these won silver medals?
|
[
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
"1",
"1",
"2",
"4"
],
[
"6",
"West Germany",
"1",
"0",
"3",
"4"
],
[
"7",
"Netherlands",
"1",
"0",
"1",
"2"
],
[
"8",
"Mexico",
"0",
"2",
"1",
"3"
],
[
"9",
"Indonesia",
"0",
"1",
"0",
"1"
],
[
"10",
"France",
"0",
"0",
"2",
"2"
],
[
"11",
"Australia",
"0",
"0",
"1",
"1"
],
[
"11",
"Canada",
"0",
"0",
"1",
"1"
],
[
"11",
"Ivory Coast",
"0",
"0",
"1",
"1"
],
[
"11",
"Denmark",
"0",
"0",
"1",
"1"
],
[
"11",
"Italy",
"0",
"0",
"1",
"1"
],
[
"11",
"Jordan",
"0",
"0",
"1",
"1"
],
[
"11",
"Nepal",
"0",
"0",
"1",
"1"
],
[
"11",
"Switzerland",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"16",
"16",
"32",
"64"
]
] |
[
"Chinese Taipei"
] |
which of these won silver medals? || of these which ones tied for the number of bronze? | which of those nations won less then 10 medals total? | which of these won more than 1 bronze? | what nations won gold medals in the 1987 world taekwondo championships?
|
nt-9494
|
col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 | 0 | 1 | 2 row 8 : 8 | mexico | 0 | 2 | 1 | 3 row 9 : 9 | indonesia | 0 | 1 | 0 | 1 row 10 : 10 | france | 0 | 0 | 2 | 2 row 11 : 11 | australia | 0 | 0 | 1 | 1 row 12 : 11 | canada | 0 | 0 | 1 | 1 row 13 : 11 | ivory coast | 0 | 0 | 1 | 1 row 14 : 11 | denmark | 0 | 0 | 1 | 1 row 15 : 11 | italy | 0 | 0 | 1 | 1 row 16 : 11 | jordan | 0 | 0 | 1 | 1 row 17 : 11 | nepal | 0 | 0 | 1 | 1 row 18 : 11 | switzerland | 0 | 0 | 1 | 1 row 19 : total | total | 16 | 16 | 32 | 64
|
table_csv/204_311.csv
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|
[
"what were the nations that were in the 1987 world taekwondo championships?"
] | 2 |
1, south korea, chinese taipei, spain, united states, turkey, west germany, netherlands, mexico, indonesia, france, australia, canada, ivory coast, denmark, italy, jordan, nepal, switzerland
|
[
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] |
what were the nations that were in the 1987 world taekwondo championships?
|
[
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
"1",
"1",
"2",
"4"
],
[
"6",
"West Germany",
"1",
"0",
"3",
"4"
],
[
"7",
"Netherlands",
"1",
"0",
"1",
"2"
],
[
"8",
"Mexico",
"0",
"2",
"1",
"3"
],
[
"9",
"Indonesia",
"0",
"1",
"0",
"1"
],
[
"10",
"France",
"0",
"0",
"2",
"2"
],
[
"11",
"Australia",
"0",
"0",
"1",
"1"
],
[
"11",
"Canada",
"0",
"0",
"1",
"1"
],
[
"11",
"Ivory Coast",
"0",
"0",
"1",
"1"
],
[
"11",
"Denmark",
"0",
"0",
"1",
"1"
],
[
"11",
"Italy",
"0",
"0",
"1",
"1"
],
[
"11",
"Jordan",
"0",
"0",
"1",
"1"
],
[
"11",
"Nepal",
"0",
"0",
"1",
"1"
],
[
"11",
"Switzerland",
"0",
"0",
"1",
"1"
],
[
"Total",
"Total",
"16",
"16",
"32",
"64"
]
] |
[
"1",
"South Korea",
"Chinese Taipei",
"Spain",
"United States",
"Turkey",
"West Germany",
"Netherlands",
"Mexico",
"Indonesia",
"France",
"Australia",
"Canada",
"Ivory Coast",
"Denmark",
"Italy",
"Jordan",
"Nepal",
"Switzerland"
] |
what were the nations that were in the 1987 world taekwondo championships? ||
|
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