id stringlengths 4 8 | struct_in stringlengths 301 4.09k | table_file stringlengths 19 21 | position int64 0 7 | answer_coordinates dict | question_and_history list | annotator int64 0 2 | seq_out stringlengths 1 1.73k | table_header list | question stringlengths 10 291 | table_data list | answer_text list | text_in stringlengths 19 565 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
ns-1094 | col : unnamed: 0 | year | location | name | guest(s) of honour row 1 : 1 | 1998 | linkoping | confuse 98 | paul j. mcauley row 2 : 2 | 1999 | uppsala | upsala: 1999 | michael swanwick row 3 : 3 | 2000 | stockholm | nasacon 2000 | brian m. stableford, john-henri holm row 4 : 4 | 2001 | stockholm | fantastika 2001 | robi... | table_csv/203_866.csv | 0 | {
"column_index": [
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15
]
} | [
"what are the names of all the guests of honour?"
] | 0 | paul j. mcauley, michael swanwick, brian m. stableford, john-henri holm, robin hobb, robert rankin, karolina bjallersted, china mieville, gwyneth jones, alastair reynolds, ken macleod, m. john harrison, dave lally, tim russ, charles stross, erik granstrom, joe haldeman, geoff ryman, martin andreasson, richard morgan, j... | [
"Unnamed: 0",
"Year",
"Location",
"Name",
"Guest(s) of Honour"
] | what are the names of all the guests of honour? | [
[
"1",
"1998",
"Linkoping",
"ConFuse 98",
"Paul J. McAuley"
],
[
"2",
"1999",
"Uppsala",
"Upsala: 1999",
"Michael Swanwick"
],
[
"3",
"2000",
"Stockholm",
"NasaCon 2000",
"Brian M. Stableford, John-Henri Holm"
],
[
"4",
"2001",
"Sto... | [
"Paul J. McAuley",
"Michael Swanwick",
"Brian M. Stableford, John-Henri Holm",
"Robin Hobb, Robert Rankin, Karolina Bjallersted",
"China Mieville, Gwyneth Jones",
"Alastair Reynolds, Ken MacLeod",
"M. John Harrison, Dave Lally, Tim Russ",
"Charles Stross, Erik Granstrom",
"Joe Haldeman, Geoff Ryman,... | what are the names of all the guests of honour? || |
ns-1094 | col : unnamed: 0 | year | location | name | guest(s) of honour row 1 : 1 | 1998 | linkoping | confuse 98 | paul j. mcauley row 2 : 2 | 1999 | uppsala | upsala: 1999 | michael swanwick row 3 : 3 | 2000 | stockholm | nasacon 2000 | brian m. stableford, john-henri holm row 4 : 4 | 2001 | stockholm | fantastika 2001 | robi... | table_csv/203_866.csv | 1 | {
"column_index": [
4
],
"row_index": [
0
]
} | [
"what are the names of all the guests of honour?",
"which of these was guest of honour in the year 1998?"
] | 0 | paul j. mcauley | [
"Unnamed: 0",
"Year",
"Location",
"Name",
"Guest(s) of Honour"
] | which of these was guest of honour in the year 1998? | [
[
"1",
"1998",
"Linkoping",
"ConFuse 98",
"Paul J. McAuley"
],
[
"2",
"1999",
"Uppsala",
"Upsala: 1999",
"Michael Swanwick"
],
[
"3",
"2000",
"Stockholm",
"NasaCon 2000",
"Brian M. Stableford, John-Henri Holm"
],
[
"4",
"2001",
"Sto... | [
"Paul J. McAuley"
] | which of these was guest of honour in the year 1998? || what are the names of all the guests of honour? |
ns-1094 | col : unnamed: 0 | year | location | name | guest(s) of honour row 1 : 1 | 1998 | linkoping | confuse 98 | paul j. mcauley row 2 : 2 | 1999 | uppsala | upsala: 1999 | michael swanwick row 3 : 3 | 2000 | stockholm | nasacon 2000 | brian m. stableford, john-henri holm row 4 : 4 | 2001 | stockholm | fantastika 2001 | robi... | table_csv/203_866.csv | 0 | {
"column_index": [
2
],
"row_index": [
0
]
} | [
"where was swecon in 1998?"
] | 1 | linkoping | [
"Unnamed: 0",
"Year",
"Location",
"Name",
"Guest(s) of Honour"
] | where was swecon in 1998? | [
[
"1",
"1998",
"Linkoping",
"ConFuse 98",
"Paul J. McAuley"
],
[
"2",
"1999",
"Uppsala",
"Upsala: 1999",
"Michael Swanwick"
],
[
"3",
"2000",
"Stockholm",
"NasaCon 2000",
"Brian M. Stableford, John-Henri Holm"
],
[
"4",
"2001",
"Sto... | [
"Linkoping"
] | where was swecon in 1998? || |
ns-1094 | col : unnamed: 0 | year | location | name | guest(s) of honour row 1 : 1 | 1998 | linkoping | confuse 98 | paul j. mcauley row 2 : 2 | 1999 | uppsala | upsala: 1999 | michael swanwick row 3 : 3 | 2000 | stockholm | nasacon 2000 | brian m. stableford, john-henri holm row 4 : 4 | 2001 | stockholm | fantastika 2001 | robi... | table_csv/203_866.csv | 1 | {
"column_index": [
4
],
"row_index": [
0
]
} | [
"where was swecon in 1998?",
"who was the guest of honor in 1998?"
] | 1 | paul j. mcauley | [
"Unnamed: 0",
"Year",
"Location",
"Name",
"Guest(s) of Honour"
] | who was the guest of honor in 1998? | [
[
"1",
"1998",
"Linkoping",
"ConFuse 98",
"Paul J. McAuley"
],
[
"2",
"1999",
"Uppsala",
"Upsala: 1999",
"Michael Swanwick"
],
[
"3",
"2000",
"Stockholm",
"NasaCon 2000",
"Brian M. Stableford, John-Henri Holm"
],
[
"4",
"2001",
"Sto... | [
"Paul J. McAuley"
] | who was the guest of honor in 1998? || where was swecon in 1998? |
ns-1094 | col : unnamed: 0 | year | location | name | guest(s) of honour row 1 : 1 | 1998 | linkoping | confuse 98 | paul j. mcauley row 2 : 2 | 1999 | uppsala | upsala: 1999 | michael swanwick row 3 : 3 | 2000 | stockholm | nasacon 2000 | brian m. stableford, john-henri holm row 4 : 4 | 2001 | stockholm | fantastika 2001 | robi... | table_csv/203_866.csv | 0 | {
"column_index": [
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15
]
} | [
"who are all the guests of honour?"
] | 2 | paul j. mcauley, michael swanwick, brian m. stableford, john-henri holm, robin hobb, robert rankin, karolina bjallersted, china mieville, gwyneth jones, alastair reynolds, ken macleod, m. john harrison, dave lally, tim russ, charles stross, erik granstrom, joe haldeman, geoff ryman, martin andreasson, richard morgan, j... | [
"Unnamed: 0",
"Year",
"Location",
"Name",
"Guest(s) of Honour"
] | who are all the guests of honour? | [
[
"1",
"1998",
"Linkoping",
"ConFuse 98",
"Paul J. McAuley"
],
[
"2",
"1999",
"Uppsala",
"Upsala: 1999",
"Michael Swanwick"
],
[
"3",
"2000",
"Stockholm",
"NasaCon 2000",
"Brian M. Stableford, John-Henri Holm"
],
[
"4",
"2001",
"Sto... | [
"Paul J. McAuley",
"Michael Swanwick",
"Brian M. Stableford, John-Henri Holm",
"Robin Hobb, Robert Rankin, Karolina Bjallersted",
"China Mieville, Gwyneth Jones",
"Alastair Reynolds, Ken MacLeod",
"M. John Harrison, Dave Lally, Tim Russ",
"Charles Stross, Erik Granstrom",
"Joe Haldeman, Geoff Ryman,... | who are all the guests of honour? || |
ns-1094 | col : unnamed: 0 | year | location | name | guest(s) of honour row 1 : 1 | 1998 | linkoping | confuse 98 | paul j. mcauley row 2 : 2 | 1999 | uppsala | upsala: 1999 | michael swanwick row 3 : 3 | 2000 | stockholm | nasacon 2000 | brian m. stableford, john-henri holm row 4 : 4 | 2001 | stockholm | fantastika 2001 | robi... | table_csv/203_866.csv | 1 | {
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15
]
} | [
"who are all the guests of honour?",
"what years are they listed under?"
] | 2 | 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013 | [
"Unnamed: 0",
"Year",
"Location",
"Name",
"Guest(s) of Honour"
] | what years are they listed under? | [
[
"1",
"1998",
"Linkoping",
"ConFuse 98",
"Paul J. McAuley"
],
[
"2",
"1999",
"Uppsala",
"Upsala: 1999",
"Michael Swanwick"
],
[
"3",
"2000",
"Stockholm",
"NasaCon 2000",
"Brian M. Stableford, John-Henri Holm"
],
[
"4",
"2001",
"Sto... | [
"1998",
"1999",
"2000",
"2001",
"2002",
"2003",
"2004",
"2005",
"2006",
"2007",
"2008",
"2009",
"2010",
"2011",
"2012",
"2013"
] | what years are they listed under? || who are all the guests of honour? |
ns-1094 | col : unnamed: 0 | year | location | name | guest(s) of honour row 1 : 1 | 1998 | linkoping | confuse 98 | paul j. mcauley row 2 : 2 | 1999 | uppsala | upsala: 1999 | michael swanwick row 3 : 3 | 2000 | stockholm | nasacon 2000 | brian m. stableford, john-henri holm row 4 : 4 | 2001 | stockholm | fantastika 2001 | robi... | table_csv/203_866.csv | 2 | {
"column_index": [
4
],
"row_index": [
0
]
} | [
"who are all the guests of honour?",
"what years are they listed under?",
"who was the guest of honour in 1998?"
] | 2 | paul j. mcauley | [
"Unnamed: 0",
"Year",
"Location",
"Name",
"Guest(s) of Honour"
] | who was the guest of honour in 1998? | [
[
"1",
"1998",
"Linkoping",
"ConFuse 98",
"Paul J. McAuley"
],
[
"2",
"1999",
"Uppsala",
"Upsala: 1999",
"Michael Swanwick"
],
[
"3",
"2000",
"Stockholm",
"NasaCon 2000",
"Brian M. Stableford, John-Henri Holm"
],
[
"4",
"2001",
"Sto... | [
"Paul J. McAuley"
] | who was the guest of honour in 1998? || what years are they listed under? | who are all the guests of honour? |
ns-1096 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | japan | 5 | 2 | 0 | 7 row 2 : 2 | china | 4 | 3 | 2 | 9 row 3 : 3 | south korea | 0 | 3 | 1 | 4 row 4 : 4 | north korea | 0 | 1 | 0 | 1 row 5 : 5 | chinese taipei | 0 | 0 | 3 | 3 row 6 : 5 | thailand | 0 | 0 | 3 | 3 row 7 : total | total | 9 | 9 | 9 | 27 | table_csv/203_576.csv | 0 | {
"column_index": [
5,
5,
5,
5,
5,
5
],
"row_index": [
0,
1,
2,
3,
4,
5
]
} | [
"what are the total number of medals won by the countries?"
] | 0 | 7, 9, 4, 1, 3, 3 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | what are the total number of medals won by the countries? | [
[
"1",
"Japan",
"5",
"2",
"0",
"7"
],
[
"2",
"China",
"4",
"3",
"2",
"9"
],
[
"3",
"South Korea",
"0",
"3",
"1",
"4"
],
[
"4",
"North Korea",
"0",
"1",
"0",
"1"
],
[
"5",
"Chinese Taipei",
"0"... | [
"7",
"9",
"4",
"1",
"3",
"3"
] | what are the total number of medals won by the countries? || |
ns-1096 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | japan | 5 | 2 | 0 | 7 row 2 : 2 | china | 4 | 3 | 2 | 9 row 3 : 3 | south korea | 0 | 3 | 1 | 4 row 4 : 4 | north korea | 0 | 1 | 0 | 1 row 5 : 5 | chinese taipei | 0 | 0 | 3 | 3 row 6 : 5 | thailand | 0 | 0 | 3 | 3 row 7 : total | total | 9 | 9 | 9 | 27 | table_csv/203_576.csv | 1 | {
"column_index": [
5
],
"row_index": [
1
]
} | [
"what are the total number of medals won by the countries?",
"of these numbers, whitch is the highest?"
] | 0 | 9 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | of these numbers, whitch is the highest? | [
[
"1",
"Japan",
"5",
"2",
"0",
"7"
],
[
"2",
"China",
"4",
"3",
"2",
"9"
],
[
"3",
"South Korea",
"0",
"3",
"1",
"4"
],
[
"4",
"North Korea",
"0",
"1",
"0",
"1"
],
[
"5",
"Chinese Taipei",
"0"... | [
"9"
] | of these numbers, whitch is the highest? || what are the total number of medals won by the countries? |
ns-1096 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | japan | 5 | 2 | 0 | 7 row 2 : 2 | china | 4 | 3 | 2 | 9 row 3 : 3 | south korea | 0 | 3 | 1 | 4 row 4 : 4 | north korea | 0 | 1 | 0 | 1 row 5 : 5 | chinese taipei | 0 | 0 | 3 | 3 row 6 : 5 | thailand | 0 | 0 | 3 | 3 row 7 : total | total | 9 | 9 | 9 | 27 | table_csv/203_576.csv | 2 | {
"column_index": [
1
],
"row_index": [
1
]
} | [
"what are the total number of medals won by the countries?",
"of these numbers, whitch is the highest?",
"which country won 9 medals?"
] | 0 | china | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which country won 9 medals? | [
[
"1",
"Japan",
"5",
"2",
"0",
"7"
],
[
"2",
"China",
"4",
"3",
"2",
"9"
],
[
"3",
"South Korea",
"0",
"3",
"1",
"4"
],
[
"4",
"North Korea",
"0",
"1",
"0",
"1"
],
[
"5",
"Chinese Taipei",
"0"... | [
"China"
] | which country won 9 medals? || of these numbers, whitch is the highest? | what are the total number of medals won by the countries? |
ns-1096 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | japan | 5 | 2 | 0 | 7 row 2 : 2 | china | 4 | 3 | 2 | 9 row 3 : 3 | south korea | 0 | 3 | 1 | 4 row 4 : 4 | north korea | 0 | 1 | 0 | 1 row 5 : 5 | chinese taipei | 0 | 0 | 3 | 3 row 6 : 5 | thailand | 0 | 0 | 3 | 3 row 7 : total | total | 9 | 9 | 9 | 27 | table_csv/203_576.csv | 0 | {
"column_index": [
5,
5,
5,
5,
5,
5
],
"row_index": [
0,
1,
2,
3,
4,
5
]
} | [
"what are the total numbers of medals?"
] | 1 | 7, 9, 4, 1, 3, 3 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | what are the total numbers of medals? | [
[
"1",
"Japan",
"5",
"2",
"0",
"7"
],
[
"2",
"China",
"4",
"3",
"2",
"9"
],
[
"3",
"South Korea",
"0",
"3",
"1",
"4"
],
[
"4",
"North Korea",
"0",
"1",
"0",
"1"
],
[
"5",
"Chinese Taipei",
"0"... | [
"7",
"9",
"4",
"1",
"3",
"3"
] | what are the total numbers of medals? || |
ns-1096 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | japan | 5 | 2 | 0 | 7 row 2 : 2 | china | 4 | 3 | 2 | 9 row 3 : 3 | south korea | 0 | 3 | 1 | 4 row 4 : 4 | north korea | 0 | 1 | 0 | 1 row 5 : 5 | chinese taipei | 0 | 0 | 3 | 3 row 6 : 5 | thailand | 0 | 0 | 3 | 3 row 7 : total | total | 9 | 9 | 9 | 27 | table_csv/203_576.csv | 1 | {
"column_index": [
5
],
"row_index": [
1
]
} | [
"what are the total numbers of medals?",
"which is the highest number?"
] | 1 | 9 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which is the highest number? | [
[
"1",
"Japan",
"5",
"2",
"0",
"7"
],
[
"2",
"China",
"4",
"3",
"2",
"9"
],
[
"3",
"South Korea",
"0",
"3",
"1",
"4"
],
[
"4",
"North Korea",
"0",
"1",
"0",
"1"
],
[
"5",
"Chinese Taipei",
"0"... | [
"9"
] | which is the highest number? || what are the total numbers of medals? |
ns-1096 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | japan | 5 | 2 | 0 | 7 row 2 : 2 | china | 4 | 3 | 2 | 9 row 3 : 3 | south korea | 0 | 3 | 1 | 4 row 4 : 4 | north korea | 0 | 1 | 0 | 1 row 5 : 5 | chinese taipei | 0 | 0 | 3 | 3 row 6 : 5 | thailand | 0 | 0 | 3 | 3 row 7 : total | total | 9 | 9 | 9 | 27 | table_csv/203_576.csv | 2 | {
"column_index": [
1
],
"row_index": [
1
]
} | [
"what are the total numbers of medals?",
"which is the highest number?",
"which country has this number of medals?"
] | 1 | china | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which country has this number of medals? | [
[
"1",
"Japan",
"5",
"2",
"0",
"7"
],
[
"2",
"China",
"4",
"3",
"2",
"9"
],
[
"3",
"South Korea",
"0",
"3",
"1",
"4"
],
[
"4",
"North Korea",
"0",
"1",
"0",
"1"
],
[
"5",
"Chinese Taipei",
"0"... | [
"China"
] | which country has this number of medals? || which is the highest number? | what are the total numbers of medals? |
ns-1096 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | japan | 5 | 2 | 0 | 7 row 2 : 2 | china | 4 | 3 | 2 | 9 row 3 : 3 | south korea | 0 | 3 | 1 | 4 row 4 : 4 | north korea | 0 | 1 | 0 | 1 row 5 : 5 | chinese taipei | 0 | 0 | 3 | 3 row 6 : 5 | thailand | 0 | 0 | 3 | 3 row 7 : total | total | 9 | 9 | 9 | 27 | table_csv/203_576.csv | 0 | {
"column_index": [
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5
]
} | [
"what are the participating countries for the asian youth volleyball championship?"
] | 2 | japan, china, south korea, north korea, chinese taipei, thailand | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | what are the participating countries for the asian youth volleyball championship? | [
[
"1",
"Japan",
"5",
"2",
"0",
"7"
],
[
"2",
"China",
"4",
"3",
"2",
"9"
],
[
"3",
"South Korea",
"0",
"3",
"1",
"4"
],
[
"4",
"North Korea",
"0",
"1",
"0",
"1"
],
[
"5",
"Chinese Taipei",
"0"... | [
"Japan",
"China",
"South Korea",
"North Korea",
"Chinese Taipei",
"Thailand"
] | what are the participating countries for the asian youth volleyball championship? || |
ns-1096 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | japan | 5 | 2 | 0 | 7 row 2 : 2 | china | 4 | 3 | 2 | 9 row 3 : 3 | south korea | 0 | 3 | 1 | 4 row 4 : 4 | north korea | 0 | 1 | 0 | 1 row 5 : 5 | chinese taipei | 0 | 0 | 3 | 3 row 6 : 5 | thailand | 0 | 0 | 3 | 3 row 7 : total | total | 9 | 9 | 9 | 27 | table_csv/203_576.csv | 1 | {
"column_index": [
1
],
"row_index": [
1
]
} | [
"what are the participating countries for the asian youth volleyball championship?",
"which of these countries has the most medals in total?"
] | 2 | china | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which of these countries has the most medals in total? | [
[
"1",
"Japan",
"5",
"2",
"0",
"7"
],
[
"2",
"China",
"4",
"3",
"2",
"9"
],
[
"3",
"South Korea",
"0",
"3",
"1",
"4"
],
[
"4",
"North Korea",
"0",
"1",
"0",
"1"
],
[
"5",
"Chinese Taipei",
"0"... | [
"China"
] | which of these countries has the most medals in total? || what are the participating countries for the asian youth volleyball championship? |
nt-7230 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 7 | 4 | 3 | 14 row 2 : 2 | bolivia | 2 | 2 | 2 | 6 row 3 : 2 | chile | 2 | 2 | 2 | 6 row 4 : 4 | peru | 1 | 3 | 3 | 7 row 5 : 5 | ecuador | 1 | 1 | 1 | 3 row 6 : 6 | colombia | 0 | 1 | 2 | 3 row 7 : total | total | 13 | 13 | 13 | 39 | table_csv/204_771.csv | 0 | {
"column_index": [
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5
]
} | [
"what are all of the countries?"
] | 0 | venezuela, bolivia, chile, peru, ecuador, colombia | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | what are all of the countries? | [
[
"1",
"Venezuela",
"7",
"4",
"3",
"14"
],
[
"2",
"Bolivia",
"2",
"2",
"2",
"6"
],
[
"2",
"Chile",
"2",
"2",
"2",
"6"
],
[
"4",
"Peru",
"1",
"3",
"3",
"7"
],
[
"5",
"Ecuador",
"1",
"1",
... | [
"Venezuela",
"Bolivia",
"Chile",
"Peru",
"Ecuador",
"Colombia"
] | what are all of the countries? || |
nt-7230 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 7 | 4 | 3 | 14 row 2 : 2 | bolivia | 2 | 2 | 2 | 6 row 3 : 2 | chile | 2 | 2 | 2 | 6 row 4 : 4 | peru | 1 | 3 | 3 | 7 row 5 : 5 | ecuador | 1 | 1 | 1 | 3 row 6 : 6 | colombia | 0 | 1 | 2 | 3 row 7 : total | total | 13 | 13 | 13 | 39 | table_csv/204_771.csv | 1 | {
"column_index": [
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4
]
} | [
"what are all of the countries?",
"which country had at least 1 gold medal?"
] | 0 | venezuela, bolivia, chile, peru, ecuador | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which country had at least 1 gold medal? | [
[
"1",
"Venezuela",
"7",
"4",
"3",
"14"
],
[
"2",
"Bolivia",
"2",
"2",
"2",
"6"
],
[
"2",
"Chile",
"2",
"2",
"2",
"6"
],
[
"4",
"Peru",
"1",
"3",
"3",
"7"
],
[
"5",
"Ecuador",
"1",
"1",
... | [
"Venezuela",
"Bolivia",
"Chile",
"Peru",
"Ecuador"
] | which country had at least 1 gold medal? || what are all of the countries? |
nt-7230 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 7 | 4 | 3 | 14 row 2 : 2 | bolivia | 2 | 2 | 2 | 6 row 3 : 2 | chile | 2 | 2 | 2 | 6 row 4 : 4 | peru | 1 | 3 | 3 | 7 row 5 : 5 | ecuador | 1 | 1 | 1 | 3 row 6 : 6 | colombia | 0 | 1 | 2 | 3 row 7 : total | total | 13 | 13 | 13 | 39 | table_csv/204_771.csv | 2 | {
"column_index": [
1
],
"row_index": [
4
]
} | [
"what are all of the countries?",
"which country had at least 1 gold medal?",
"of those, which team has had one gold, silver and bronze medal?"
] | 0 | ecuador | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | of those, which team has had one gold, silver and bronze medal? | [
[
"1",
"Venezuela",
"7",
"4",
"3",
"14"
],
[
"2",
"Bolivia",
"2",
"2",
"2",
"6"
],
[
"2",
"Chile",
"2",
"2",
"2",
"6"
],
[
"4",
"Peru",
"1",
"3",
"3",
"7"
],
[
"5",
"Ecuador",
"1",
"1",
... | [
"Ecuador"
] | of those, which team has had one gold, silver and bronze medal? || which country had at least 1 gold medal? | what are all of the countries? |
nt-7230 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 7 | 4 | 3 | 14 row 2 : 2 | bolivia | 2 | 2 | 2 | 6 row 3 : 2 | chile | 2 | 2 | 2 | 6 row 4 : 4 | peru | 1 | 3 | 3 | 7 row 5 : 5 | ecuador | 1 | 1 | 1 | 3 row 6 : 6 | colombia | 0 | 1 | 2 | 3 row 7 : total | total | 13 | 13 | 13 | 39 | table_csv/204_771.csv | 0 | {
"column_index": [
1
],
"row_index": [
0
]
} | [
"which country had 7 gold medals in the cue sports at the 2013 bolivarian games?"
] | 1 | venezuela | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which country had 7 gold medals in the cue sports at the 2013 bolivarian games? | [
[
"1",
"Venezuela",
"7",
"4",
"3",
"14"
],
[
"2",
"Bolivia",
"2",
"2",
"2",
"6"
],
[
"2",
"Chile",
"2",
"2",
"2",
"6"
],
[
"4",
"Peru",
"1",
"3",
"3",
"7"
],
[
"5",
"Ecuador",
"1",
"1",
... | [
"Venezuela"
] | which country had 7 gold medals in the cue sports at the 2013 bolivarian games? || |
nt-7230 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 7 | 4 | 3 | 14 row 2 : 2 | bolivia | 2 | 2 | 2 | 6 row 3 : 2 | chile | 2 | 2 | 2 | 6 row 4 : 4 | peru | 1 | 3 | 3 | 7 row 5 : 5 | ecuador | 1 | 1 | 1 | 3 row 6 : 6 | colombia | 0 | 1 | 2 | 3 row 7 : total | total | 13 | 13 | 13 | 39 | table_csv/204_771.csv | 1 | {
"column_index": [
1
],
"row_index": [
3
]
} | [
"which country had 7 gold medals in the cue sports at the 2013 bolivarian games?",
"which country had 1 gold medal, 3 silver medals and 3 bronze medals?"
] | 1 | peru | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which country had 1 gold medal, 3 silver medals and 3 bronze medals? | [
[
"1",
"Venezuela",
"7",
"4",
"3",
"14"
],
[
"2",
"Bolivia",
"2",
"2",
"2",
"6"
],
[
"2",
"Chile",
"2",
"2",
"2",
"6"
],
[
"4",
"Peru",
"1",
"3",
"3",
"7"
],
[
"5",
"Ecuador",
"1",
"1",
... | [
"Peru"
] | which country had 1 gold medal, 3 silver medals and 3 bronze medals? || which country had 7 gold medals in the cue sports at the 2013 bolivarian games? |
nt-7230 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 7 | 4 | 3 | 14 row 2 : 2 | bolivia | 2 | 2 | 2 | 6 row 3 : 2 | chile | 2 | 2 | 2 | 6 row 4 : 4 | peru | 1 | 3 | 3 | 7 row 5 : 5 | ecuador | 1 | 1 | 1 | 3 row 6 : 6 | colombia | 0 | 1 | 2 | 3 row 7 : total | total | 13 | 13 | 13 | 39 | table_csv/204_771.csv | 2 | {
"column_index": [
1
],
"row_index": [
4
]
} | [
"which country had 7 gold medals in the cue sports at the 2013 bolivarian games?",
"which country had 1 gold medal, 3 silver medals and 3 bronze medals?",
"which country had one of each kind of medal?"
] | 1 | ecuador | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which country had one of each kind of medal? | [
[
"1",
"Venezuela",
"7",
"4",
"3",
"14"
],
[
"2",
"Bolivia",
"2",
"2",
"2",
"6"
],
[
"2",
"Chile",
"2",
"2",
"2",
"6"
],
[
"4",
"Peru",
"1",
"3",
"3",
"7"
],
[
"5",
"Ecuador",
"1",
"1",
... | [
"Ecuador"
] | which country had one of each kind of medal? || which country had 1 gold medal, 3 silver medals and 3 bronze medals? | which country had 7 gold medals in the cue sports at the 2013 bolivarian games? |
nt-7230 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 7 | 4 | 3 | 14 row 2 : 2 | bolivia | 2 | 2 | 2 | 6 row 3 : 2 | chile | 2 | 2 | 2 | 6 row 4 : 4 | peru | 1 | 3 | 3 | 7 row 5 : 5 | ecuador | 1 | 1 | 1 | 3 row 6 : 6 | colombia | 0 | 1 | 2 | 3 row 7 : total | total | 13 | 13 | 13 | 39 | table_csv/204_771.csv | 0 | {
"column_index": [
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6
]
} | [
"which are all of the countries?"
] | 2 | venezuela, bolivia, chile, peru, ecuador, colombia, total | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which are all of the countries? | [
[
"1",
"Venezuela",
"7",
"4",
"3",
"14"
],
[
"2",
"Bolivia",
"2",
"2",
"2",
"6"
],
[
"2",
"Chile",
"2",
"2",
"2",
"6"
],
[
"4",
"Peru",
"1",
"3",
"3",
"7"
],
[
"5",
"Ecuador",
"1",
"1",
... | [
"Venezuela",
"Bolivia",
"Chile",
"Peru",
"Ecuador",
"Colombia",
"Total"
] | which are all of the countries? || |
nt-7230 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 7 | 4 | 3 | 14 row 2 : 2 | bolivia | 2 | 2 | 2 | 6 row 3 : 2 | chile | 2 | 2 | 2 | 6 row 4 : 4 | peru | 1 | 3 | 3 | 7 row 5 : 5 | ecuador | 1 | 1 | 1 | 3 row 6 : 6 | colombia | 0 | 1 | 2 | 3 row 7 : total | total | 13 | 13 | 13 | 39 | table_csv/204_771.csv | 1 | {
"column_index": [
1,
1
],
"row_index": [
3,
4
]
} | [
"which are all of the countries?",
"which countries only had one gold metal?"
] | 2 | peru, ecuador | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which countries only had one gold metal? | [
[
"1",
"Venezuela",
"7",
"4",
"3",
"14"
],
[
"2",
"Bolivia",
"2",
"2",
"2",
"6"
],
[
"2",
"Chile",
"2",
"2",
"2",
"6"
],
[
"4",
"Peru",
"1",
"3",
"3",
"7"
],
[
"5",
"Ecuador",
"1",
"1",
... | [
"Peru",
"Ecuador"
] | which countries only had one gold metal? || which are all of the countries? |
nt-7230 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 7 | 4 | 3 | 14 row 2 : 2 | bolivia | 2 | 2 | 2 | 6 row 3 : 2 | chile | 2 | 2 | 2 | 6 row 4 : 4 | peru | 1 | 3 | 3 | 7 row 5 : 5 | ecuador | 1 | 1 | 1 | 3 row 6 : 6 | colombia | 0 | 1 | 2 | 3 row 7 : total | total | 13 | 13 | 13 | 39 | table_csv/204_771.csv | 2 | {
"column_index": [
1
],
"row_index": [
4
]
} | [
"which are all of the countries?",
"which countries only had one gold metal?",
"of those two, which country only had one silver and one bronze?"
] | 2 | ecuador | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | of those two, which country only had one silver and one bronze? | [
[
"1",
"Venezuela",
"7",
"4",
"3",
"14"
],
[
"2",
"Bolivia",
"2",
"2",
"2",
"6"
],
[
"2",
"Chile",
"2",
"2",
"2",
"6"
],
[
"4",
"Peru",
"1",
"3",
"3",
"7"
],
[
"5",
"Ecuador",
"1",
"1",
... | [
"Ecuador"
] | of those two, which country only had one silver and one bronze? || which countries only had one gold metal? | which are all of the countries? |
nt-10772 | col : main author | no. of patients | duration of follow-up years | linearized rate of infection | actuarial freedom from infective endocarditis row 1 : pavie | 675 | 5 | nan | 98.2% for all patients, 97.8% for a row 2 : duncan (a) | 2720 | 6 | nan | 97.3% for all patients, 97.4% for a row 3 : ionescu (b) | 1171 | 10 |... | table_csv/204_597.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
} | [
"what authors are listed?"
] | 0 | pavie, duncan (a), ionescu (b), zhu, revuelta, garcia-bengochea, holden (c), bachet (d) | [
"Main author",
"No. of patients",
"Duration of follow-up years",
"Linearized rate of infection",
"Actuarial freedom from infective endocarditis"
] | what authors are listed? | [
[
"Pavie",
"675",
"5",
"nan",
"98.2% for all patients, 97.8% for a"
],
[
"Duncan (A)",
"2720",
"6",
"nan",
"97.3% for all patients, 97.4% for a"
],
[
"Ionescu (B)",
"1171",
"10",
"nan",
"93.7% for all patients, 94.7% for a"
],
[
"Zhu",
... | [
"Pavie",
"Duncan (A)",
"Ionescu (B)",
"Zhu",
"Revuelta",
"Garcia-Bengochea",
"Holden (C)",
"Bachet (D)"
] | what authors are listed? || |
nt-10772 | col : main author | no. of patients | duration of follow-up years | linearized rate of infection | actuarial freedom from infective endocarditis row 1 : pavie | 675 | 5 | nan | 98.2% for all patients, 97.8% for a row 2 : duncan (a) | 2720 | 6 | nan | 97.3% for all patients, 97.4% for a row 3 : ionescu (b) | 1171 | 10 |... | table_csv/204_597.csv | 1 | {
"column_index": [
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3
]
} | [
"what authors are listed?",
"of these, who show 'actuarial freedom from infective endocarditis'"
] | 0 | pavie, duncan (a), ionescu (b), zhu | [
"Main author",
"No. of patients",
"Duration of follow-up years",
"Linearized rate of infection",
"Actuarial freedom from infective endocarditis"
] | of these, who show 'actuarial freedom from infective endocarditis' | [
[
"Pavie",
"675",
"5",
"nan",
"98.2% for all patients, 97.8% for a"
],
[
"Duncan (A)",
"2720",
"6",
"nan",
"97.3% for all patients, 97.4% for a"
],
[
"Ionescu (B)",
"1171",
"10",
"nan",
"93.7% for all patients, 94.7% for a"
],
[
"Zhu",
... | [
"Pavie",
"Duncan (A)",
"Ionescu (B)",
"Zhu"
] | of these, who show 'actuarial freedom from infective endocarditis' || what authors are listed? |
nt-10772 | col : main author | no. of patients | duration of follow-up years | linearized rate of infection | actuarial freedom from infective endocarditis row 1 : pavie | 675 | 5 | nan | 98.2% for all patients, 97.8% for a row 2 : duncan (a) | 2720 | 6 | nan | 97.3% for all patients, 97.4% for a row 3 : ionescu (b) | 1171 | 10 |... | table_csv/204_597.csv | 2 | {
"column_index": [
4
],
"row_index": [
0
]
} | [
"what authors are listed?",
"of these, who show 'actuarial freedom from infective endocarditis'",
"what, of the actuarial freedom from infective endocarditis shown, was the highest percentage for all patients?"
] | 0 | 98.2% for all patients, 97.8% for a | [
"Main author",
"No. of patients",
"Duration of follow-up years",
"Linearized rate of infection",
"Actuarial freedom from infective endocarditis"
] | what, of the actuarial freedom from infective endocarditis shown, was the highest percentage for all patients? | [
[
"Pavie",
"675",
"5",
"nan",
"98.2% for all patients, 97.8% for a"
],
[
"Duncan (A)",
"2720",
"6",
"nan",
"97.3% for all patients, 97.4% for a"
],
[
"Ionescu (B)",
"1171",
"10",
"nan",
"93.7% for all patients, 94.7% for a"
],
[
"Zhu",
... | [
"98.2% for all patients, 97.8% for a"
] | what, of the actuarial freedom from infective endocarditis shown, was the highest percentage for all patients? || of these, who show 'actuarial freedom from infective endocarditis' | what authors are listed? |
nt-10772 | col : main author | no. of patients | duration of follow-up years | linearized rate of infection | actuarial freedom from infective endocarditis row 1 : pavie | 675 | 5 | nan | 98.2% for all patients, 97.8% for a row 2 : duncan (a) | 2720 | 6 | nan | 97.3% for all patients, 97.4% for a row 3 : ionescu (b) | 1171 | 10 |... | table_csv/204_597.csv | 3 | {
"column_index": [
0
],
"row_index": [
0
]
} | [
"what authors are listed?",
"of these, who show 'actuarial freedom from infective endocarditis'",
"what, of the actuarial freedom from infective endocarditis shown, was the highest percentage for all patients?",
"what author did this belong to?"
] | 0 | pavie | [
"Main author",
"No. of patients",
"Duration of follow-up years",
"Linearized rate of infection",
"Actuarial freedom from infective endocarditis"
] | what author did this belong to? | [
[
"Pavie",
"675",
"5",
"nan",
"98.2% for all patients, 97.8% for a"
],
[
"Duncan (A)",
"2720",
"6",
"nan",
"97.3% for all patients, 97.4% for a"
],
[
"Ionescu (B)",
"1171",
"10",
"nan",
"93.7% for all patients, 94.7% for a"
],
[
"Zhu",
... | [
"Pavie"
] | what author did this belong to? || what, of the actuarial freedom from infective endocarditis shown, was the highest percentage for all patients? | of these, who show 'actuarial freedom from infective endocarditis' | what authors are listed? |
nt-10772 | col : main author | no. of patients | duration of follow-up years | linearized rate of infection | actuarial freedom from infective endocarditis row 1 : pavie | 675 | 5 | nan | 98.2% for all patients, 97.8% for a row 2 : duncan (a) | 2720 | 6 | nan | 97.3% for all patients, 97.4% for a row 3 : ionescu (b) | 1171 | 10 |... | table_csv/204_597.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
} | [
"who are the authors?"
] | 1 | pavie, duncan (a), ionescu (b), zhu, revuelta, garcia-bengochea, holden (c), bachet (d) | [
"Main author",
"No. of patients",
"Duration of follow-up years",
"Linearized rate of infection",
"Actuarial freedom from infective endocarditis"
] | who are the authors? | [
[
"Pavie",
"675",
"5",
"nan",
"98.2% for all patients, 97.8% for a"
],
[
"Duncan (A)",
"2720",
"6",
"nan",
"97.3% for all patients, 97.4% for a"
],
[
"Ionescu (B)",
"1171",
"10",
"nan",
"93.7% for all patients, 94.7% for a"
],
[
"Zhu",
... | [
"Pavie",
"Duncan (A)",
"Ionescu (B)",
"Zhu",
"Revuelta",
"Garcia-Bengochea",
"Holden (C)",
"Bachet (D)"
] | who are the authors? || |
nt-10772 | col : main author | no. of patients | duration of follow-up years | linearized rate of infection | actuarial freedom from infective endocarditis row 1 : pavie | 675 | 5 | nan | 98.2% for all patients, 97.8% for a row 2 : duncan (a) | 2720 | 6 | nan | 97.3% for all patients, 97.4% for a row 3 : ionescu (b) | 1171 | 10 |... | table_csv/204_597.csv | 1 | {
"column_index": [
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3
]
} | [
"who are the authors?",
"which ones have information about freedom for patients?"
] | 1 | pavie, duncan (a), ionescu (b), zhu | [
"Main author",
"No. of patients",
"Duration of follow-up years",
"Linearized rate of infection",
"Actuarial freedom from infective endocarditis"
] | which ones have information about freedom for patients? | [
[
"Pavie",
"675",
"5",
"nan",
"98.2% for all patients, 97.8% for a"
],
[
"Duncan (A)",
"2720",
"6",
"nan",
"97.3% for all patients, 97.4% for a"
],
[
"Ionescu (B)",
"1171",
"10",
"nan",
"93.7% for all patients, 94.7% for a"
],
[
"Zhu",
... | [
"Pavie",
"Duncan (A)",
"Ionescu (B)",
"Zhu"
] | which ones have information about freedom for patients? || who are the authors? |
nt-10772 | col : main author | no. of patients | duration of follow-up years | linearized rate of infection | actuarial freedom from infective endocarditis row 1 : pavie | 675 | 5 | nan | 98.2% for all patients, 97.8% for a row 2 : duncan (a) | 2720 | 6 | nan | 97.3% for all patients, 97.4% for a row 3 : ionescu (b) | 1171 | 10 |... | table_csv/204_597.csv | 2 | {
"column_index": [
0
],
"row_index": [
0
]
} | [
"who are the authors?",
"which ones have information about freedom for patients?",
"of these, who found 98.2% freedom for patients?"
] | 1 | pavie | [
"Main author",
"No. of patients",
"Duration of follow-up years",
"Linearized rate of infection",
"Actuarial freedom from infective endocarditis"
] | of these, who found 98.2% freedom for patients? | [
[
"Pavie",
"675",
"5",
"nan",
"98.2% for all patients, 97.8% for a"
],
[
"Duncan (A)",
"2720",
"6",
"nan",
"97.3% for all patients, 97.4% for a"
],
[
"Ionescu (B)",
"1171",
"10",
"nan",
"93.7% for all patients, 94.7% for a"
],
[
"Zhu",
... | [
"Pavie"
] | of these, who found 98.2% freedom for patients? || which ones have information about freedom for patients? | who are the authors? |
nt-10772 | col : main author | no. of patients | duration of follow-up years | linearized rate of infection | actuarial freedom from infective endocarditis row 1 : pavie | 675 | 5 | nan | 98.2% for all patients, 97.8% for a row 2 : duncan (a) | 2720 | 6 | nan | 97.3% for all patients, 97.4% for a row 3 : ionescu (b) | 1171 | 10 |... | table_csv/204_597.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
} | [
"who are the main authors of pericardial heart valves?"
] | 2 | pavie, duncan (a), ionescu (b), zhu, revuelta, garcia-bengochea, holden (c), bachet (d) | [
"Main author",
"No. of patients",
"Duration of follow-up years",
"Linearized rate of infection",
"Actuarial freedom from infective endocarditis"
] | who are the main authors of pericardial heart valves? | [
[
"Pavie",
"675",
"5",
"nan",
"98.2% for all patients, 97.8% for a"
],
[
"Duncan (A)",
"2720",
"6",
"nan",
"97.3% for all patients, 97.4% for a"
],
[
"Ionescu (B)",
"1171",
"10",
"nan",
"93.7% for all patients, 94.7% for a"
],
[
"Zhu",
... | [
"Pavie",
"Duncan (A)",
"Ionescu (B)",
"Zhu",
"Revuelta",
"Garcia-Bengochea",
"Holden (C)",
"Bachet (D)"
] | who are the main authors of pericardial heart valves? || |
nt-10772 | col : main author | no. of patients | duration of follow-up years | linearized rate of infection | actuarial freedom from infective endocarditis row 1 : pavie | 675 | 5 | nan | 98.2% for all patients, 97.8% for a row 2 : duncan (a) | 2720 | 6 | nan | 97.3% for all patients, 97.4% for a row 3 : ionescu (b) | 1171 | 10 |... | table_csv/204_597.csv | 1 | {
"column_index": [
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3
]
} | [
"who are the main authors of pericardial heart valves?",
"of these authors, which have information listed under actuarial freedom from ineffective endocarditis?"
] | 2 | pavie, duncan (a), ionescu (b), zhu | [
"Main author",
"No. of patients",
"Duration of follow-up years",
"Linearized rate of infection",
"Actuarial freedom from infective endocarditis"
] | of these authors, which have information listed under actuarial freedom from ineffective endocarditis? | [
[
"Pavie",
"675",
"5",
"nan",
"98.2% for all patients, 97.8% for a"
],
[
"Duncan (A)",
"2720",
"6",
"nan",
"97.3% for all patients, 97.4% for a"
],
[
"Ionescu (B)",
"1171",
"10",
"nan",
"93.7% for all patients, 94.7% for a"
],
[
"Zhu",
... | [
"Pavie",
"Duncan (A)",
"Ionescu (B)",
"Zhu"
] | of these authors, which have information listed under actuarial freedom from ineffective endocarditis? || who are the main authors of pericardial heart valves? |
nt-10772 | col : main author | no. of patients | duration of follow-up years | linearized rate of infection | actuarial freedom from infective endocarditis row 1 : pavie | 675 | 5 | nan | 98.2% for all patients, 97.8% for a row 2 : duncan (a) | 2720 | 6 | nan | 97.3% for all patients, 97.4% for a row 3 : ionescu (b) | 1171 | 10 |... | table_csv/204_597.csv | 2 | {
"column_index": [
0
],
"row_index": [
0
]
} | [
"who are the main authors of pericardial heart valves?",
"of these authors, which have information listed under actuarial freedom from ineffective endocarditis?",
"of these, which has achieved 98.2% for all patients?"
] | 2 | pavie | [
"Main author",
"No. of patients",
"Duration of follow-up years",
"Linearized rate of infection",
"Actuarial freedom from infective endocarditis"
] | of these, which has achieved 98.2% for all patients? | [
[
"Pavie",
"675",
"5",
"nan",
"98.2% for all patients, 97.8% for a"
],
[
"Duncan (A)",
"2720",
"6",
"nan",
"97.3% for all patients, 97.4% for a"
],
[
"Ionescu (B)",
"1171",
"10",
"nan",
"93.7% for all patients, 94.7% for a"
],
[
"Zhu",
... | [
"Pavie"
] | of these, which has achieved 98.2% for all patients? || of these authors, which have information listed under actuarial freedom from ineffective endocarditis? | who are the main authors of pericardial heart valves? |
nt-2874 | col : name | red vs. blue | couples team | status | weight | total votes row 1 : valerica marin 47, bucharest | none | nan | eliminated week 1 | 142 kg | 0 row 2 : tatiana musat 25, bucharest | none | nan | eliminated week 1 | 150 kg | 0 row 3 : gige state 47, bucharest | none | nan | eliminated week 1 | 200 kg | 0 row... | table_csv/204_688.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12
]
} | [
"who are the contestants on marele castigator (season 1)?"
] | 0 | valerica marin 47, bucharest, tatiana musat 25, bucharest, gige state 47, bucharest, alex ionescu returned week 5, catalin chiriac 23, bucharest, dana mocanu 34, ploiesti, daniela gheorghe 21, pitesti, alexandra patrascu 37, bucharest, mihai florescu 35, bucharest, alexandru briscu 26, bacau, daniel sulugiu 34, buchare... | [
"Name",
"Red vs. Blue",
"Couples team",
"Status",
"Weight",
"Total Votes"
] | who are the contestants on marele castigator (season 1)? | [
[
"Valerica Marin 47, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"142 kg",
"0"
],
[
"Tatiana Musat 25, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"150 kg",
"0"
],
[
"Gige State 47, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"... | [
"Valerica Marin 47, Bucharest",
"Tatiana Musat 25, Bucharest",
"Gige State 47, Bucharest",
"Alex Ionescu Returned week 5",
"Catalin Chiriac 23, Bucharest",
"Dana Mocanu 34, Ploiesti",
"Daniela Gheorghe 21, Pitesti",
"Alexandra Patrascu 37, Bucharest",
"Mihai Florescu 35, Bucharest",
"Alexandru Bri... | who are the contestants on marele castigator (season 1)? || |
nt-2874 | col : name | red vs. blue | couples team | status | weight | total votes row 1 : valerica marin 47, bucharest | none | nan | eliminated week 1 | 142 kg | 0 row 2 : tatiana musat 25, bucharest | none | nan | eliminated week 1 | 150 kg | 0 row 3 : gige state 47, bucharest | none | nan | eliminated week 1 | 200 kg | 0 row... | table_csv/204_688.csv | 1 | {
"column_index": [
3
],
"row_index": [
9
]
} | [
"who are the contestants on marele castigator (season 1)?",
"when was contestant alexandru briscu voted out?"
] | 0 | 5th voted out week 5 | [
"Name",
"Red vs. Blue",
"Couples team",
"Status",
"Weight",
"Total Votes"
] | when was contestant alexandru briscu voted out? | [
[
"Valerica Marin 47, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"142 kg",
"0"
],
[
"Tatiana Musat 25, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"150 kg",
"0"
],
[
"Gige State 47, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"... | [
"5th Voted Out Week 5"
] | when was contestant alexandru briscu voted out? || who are the contestants on marele castigator (season 1)? |
nt-2874 | col : name | red vs. blue | couples team | status | weight | total votes row 1 : valerica marin 47, bucharest | none | nan | eliminated week 1 | 142 kg | 0 row 2 : tatiana musat 25, bucharest | none | nan | eliminated week 1 | 150 kg | 0 row 3 : gige state 47, bucharest | none | nan | eliminated week 1 | 200 kg | 0 row... | table_csv/204_688.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12
]
} | [
"who all participated in season 1 of marele castigator?"
] | 1 | valerica marin 47, bucharest, tatiana musat 25, bucharest, gige state 47, bucharest, alex ionescu returned week 5, catalin chiriac 23, bucharest, dana mocanu 34, ploiesti, daniela gheorghe 21, pitesti, alexandra patrascu 37, bucharest, mihai florescu 35, bucharest, alexandru briscu 26, bacau, daniel sulugiu 34, buchare... | [
"Name",
"Red vs. Blue",
"Couples team",
"Status",
"Weight",
"Total Votes"
] | who all participated in season 1 of marele castigator? | [
[
"Valerica Marin 47, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"142 kg",
"0"
],
[
"Tatiana Musat 25, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"150 kg",
"0"
],
[
"Gige State 47, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"... | [
"Valerica Marin 47, Bucharest",
"Tatiana Musat 25, Bucharest",
"Gige State 47, Bucharest",
"Alex Ionescu Returned week 5",
"Catalin Chiriac 23, Bucharest",
"Dana Mocanu 34, Ploiesti",
"Daniela Gheorghe 21, Pitesti",
"Alexandra Patrascu 37, Bucharest",
"Mihai Florescu 35, Bucharest",
"Alexandru Bri... | who all participated in season 1 of marele castigator? || |
nt-2874 | col : name | red vs. blue | couples team | status | weight | total votes row 1 : valerica marin 47, bucharest | none | nan | eliminated week 1 | 142 kg | 0 row 2 : tatiana musat 25, bucharest | none | nan | eliminated week 1 | 150 kg | 0 row 3 : gige state 47, bucharest | none | nan | eliminated week 1 | 200 kg | 0 row... | table_csv/204_688.csv | 1 | {
"column_index": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12
]
} | [
"who all participated in season 1 of marele castigator?",
"what were the ways that people ended up leaving the show?"
] | 1 | eliminated week 1, eliminated week 1, eliminated week 1, eliminated week 1, 1st voted out week 1, 2nd voted out week 2, 3rd voted out week 3, eliminated week 4, 4th voted out week 4, 5th voted out week 5, 5th voted out week 6, 6th voted out week7, 6th voted out week7 | [
"Name",
"Red vs. Blue",
"Couples team",
"Status",
"Weight",
"Total Votes"
] | what were the ways that people ended up leaving the show? | [
[
"Valerica Marin 47, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"142 kg",
"0"
],
[
"Tatiana Musat 25, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"150 kg",
"0"
],
[
"Gige State 47, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"... | [
"Eliminated Week 1",
"Eliminated Week 1",
"Eliminated Week 1",
"Eliminated Week 1",
"1st Voted Out Week 1",
"2nd Voted Out Week 2",
"3rd Voted Out Week 3",
"Eliminated Week 4",
"4th Voted Out Week 4",
"5th Voted Out Week 5",
"5th Voted Out Week 6",
"6th Voted Out Week7",
"6th Voted Out Week7... | what were the ways that people ended up leaving the show? || who all participated in season 1 of marele castigator? |
nt-2874 | col : name | red vs. blue | couples team | status | weight | total votes row 1 : valerica marin 47, bucharest | none | nan | eliminated week 1 | 142 kg | 0 row 2 : tatiana musat 25, bucharest | none | nan | eliminated week 1 | 150 kg | 0 row 3 : gige state 47, bucharest | none | nan | eliminated week 1 | 200 kg | 0 row... | table_csv/204_688.csv | 2 | {
"column_index": [
3,
3,
3,
3,
3,
3,
3,
3
],
"row_index": [
4,
5,
6,
8,
9,
10,
11,
12
]
} | [
"who all participated in season 1 of marele castigator?",
"what were the ways that people ended up leaving the show?",
"of those, which did not involve elimination?"
] | 1 | 1st voted out week 1, 2nd voted out week 2, 3rd voted out week 3, 4th voted out week 4, 5th voted out week 5, 5th voted out week 6, 6th voted out week7, 6th voted out week7 | [
"Name",
"Red vs. Blue",
"Couples team",
"Status",
"Weight",
"Total Votes"
] | of those, which did not involve elimination? | [
[
"Valerica Marin 47, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"142 kg",
"0"
],
[
"Tatiana Musat 25, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"150 kg",
"0"
],
[
"Gige State 47, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"... | [
"1st Voted Out Week 1",
"2nd Voted Out Week 2",
"3rd Voted Out Week 3",
"4th Voted Out Week 4",
"5th Voted Out Week 5",
"5th Voted Out Week 6",
"6th Voted Out Week7",
"6th Voted Out Week7"
] | of those, which did not involve elimination? || what were the ways that people ended up leaving the show? | who all participated in season 1 of marele castigator? |
nt-2874 | col : name | red vs. blue | couples team | status | weight | total votes row 1 : valerica marin 47, bucharest | none | nan | eliminated week 1 | 142 kg | 0 row 2 : tatiana musat 25, bucharest | none | nan | eliminated week 1 | 150 kg | 0 row 3 : gige state 47, bucharest | none | nan | eliminated week 1 | 200 kg | 0 row... | table_csv/204_688.csv | 3 | {
"column_index": [
3,
3
],
"row_index": [
9,
10
]
} | [
"who all participated in season 1 of marele castigator?",
"what were the ways that people ended up leaving the show?",
"of those, which did not involve elimination?",
"out of the remaining ways, which involved the 5th vote?"
] | 1 | 5th voted out week 5, 5th voted out week 6 | [
"Name",
"Red vs. Blue",
"Couples team",
"Status",
"Weight",
"Total Votes"
] | out of the remaining ways, which involved the 5th vote? | [
[
"Valerica Marin 47, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"142 kg",
"0"
],
[
"Tatiana Musat 25, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"150 kg",
"0"
],
[
"Gige State 47, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"... | [
"5th Voted Out Week 5",
"5th Voted Out Week 6"
] | out of the remaining ways, which involved the 5th vote? || of those, which did not involve elimination? | what were the ways that people ended up leaving the show? | who all participated in season 1 of marele castigator? |
nt-2874 | col : name | red vs. blue | couples team | status | weight | total votes row 1 : valerica marin 47, bucharest | none | nan | eliminated week 1 | 142 kg | 0 row 2 : tatiana musat 25, bucharest | none | nan | eliminated week 1 | 150 kg | 0 row 3 : gige state 47, bucharest | none | nan | eliminated week 1 | 200 kg | 0 row... | table_csv/204_688.csv | 4 | {
"column_index": [
0,
0
],
"row_index": [
9,
10
]
} | [
"who all participated in season 1 of marele castigator?",
"what were the ways that people ended up leaving the show?",
"of those, which did not involve elimination?",
"out of the remaining ways, which involved the 5th vote?",
"which participants were voted out on this vote?"
] | 1 | alexandru briscu 26, bacau, daniel sulugiu 34, bucharest | [
"Name",
"Red vs. Blue",
"Couples team",
"Status",
"Weight",
"Total Votes"
] | which participants were voted out on this vote? | [
[
"Valerica Marin 47, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"142 kg",
"0"
],
[
"Tatiana Musat 25, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"150 kg",
"0"
],
[
"Gige State 47, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"... | [
"Alexandru Briscu 26, Bacau",
"Daniel Sulugiu 34, Bucharest"
] | which participants were voted out on this vote? || out of the remaining ways, which involved the 5th vote? | of those, which did not involve elimination? | what were the ways that people ended up leaving the show? | who all participated in season 1 of marele castigator? |
nt-2874 | col : name | red vs. blue | couples team | status | weight | total votes row 1 : valerica marin 47, bucharest | none | nan | eliminated week 1 | 142 kg | 0 row 2 : tatiana musat 25, bucharest | none | nan | eliminated week 1 | 150 kg | 0 row 3 : gige state 47, bucharest | none | nan | eliminated week 1 | 200 kg | 0 row... | table_csv/204_688.csv | 5 | {
"column_index": [
3
],
"row_index": [
9
]
} | [
"who all participated in season 1 of marele castigator?",
"what were the ways that people ended up leaving the show?",
"of those, which did not involve elimination?",
"out of the remaining ways, which involved the 5th vote?",
"which participants were voted out on this vote?",
"when was briscu voted out?"
... | 1 | 5th voted out week 5 | [
"Name",
"Red vs. Blue",
"Couples team",
"Status",
"Weight",
"Total Votes"
] | when was briscu voted out? | [
[
"Valerica Marin 47, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"142 kg",
"0"
],
[
"Tatiana Musat 25, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"150 kg",
"0"
],
[
"Gige State 47, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"... | [
"5th Voted Out Week 5"
] | when was briscu voted out? || which participants were voted out on this vote? | out of the remaining ways, which involved the 5th vote? | of those, which did not involve elimination? | what were the ways that people ended up leaving the show? | who all participated in season 1 of marele castigator? |
nt-2874 | col : name | red vs. blue | couples team | status | weight | total votes row 1 : valerica marin 47, bucharest | none | nan | eliminated week 1 | 142 kg | 0 row 2 : tatiana musat 25, bucharest | none | nan | eliminated week 1 | 150 kg | 0 row 3 : gige state 47, bucharest | none | nan | eliminated week 1 | 200 kg | 0 row... | table_csv/204_688.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12
]
} | [
"what are the names of the participants?"
] | 2 | valerica marin 47, bucharest, tatiana musat 25, bucharest, gige state 47, bucharest, alex ionescu returned week 5, catalin chiriac 23, bucharest, dana mocanu 34, ploiesti, daniela gheorghe 21, pitesti, alexandra patrascu 37, bucharest, mihai florescu 35, bucharest, alexandru briscu 26, bacau, daniel sulugiu 34, buchare... | [
"Name",
"Red vs. Blue",
"Couples team",
"Status",
"Weight",
"Total Votes"
] | what are the names of the participants? | [
[
"Valerica Marin 47, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"142 kg",
"0"
],
[
"Tatiana Musat 25, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"150 kg",
"0"
],
[
"Gige State 47, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"... | [
"Valerica Marin 47, Bucharest",
"Tatiana Musat 25, Bucharest",
"Gige State 47, Bucharest",
"Alex Ionescu Returned week 5",
"Catalin Chiriac 23, Bucharest",
"Dana Mocanu 34, Ploiesti",
"Daniela Gheorghe 21, Pitesti",
"Alexandra Patrascu 37, Bucharest",
"Mihai Florescu 35, Bucharest",
"Alexandru Bri... | what are the names of the participants? || |
nt-2874 | col : name | red vs. blue | couples team | status | weight | total votes row 1 : valerica marin 47, bucharest | none | nan | eliminated week 1 | 142 kg | 0 row 2 : tatiana musat 25, bucharest | none | nan | eliminated week 1 | 150 kg | 0 row 3 : gige state 47, bucharest | none | nan | eliminated week 1 | 200 kg | 0 row... | table_csv/204_688.csv | 1 | {
"column_index": [
0
],
"row_index": [
9
]
} | [
"what are the names of the participants?",
"which is named briscu?"
] | 2 | alexandru briscu 26, bacau | [
"Name",
"Red vs. Blue",
"Couples team",
"Status",
"Weight",
"Total Votes"
] | which is named briscu? | [
[
"Valerica Marin 47, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"142 kg",
"0"
],
[
"Tatiana Musat 25, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"150 kg",
"0"
],
[
"Gige State 47, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"... | [
"Alexandru Briscu 26, Bacau"
] | which is named briscu? || what are the names of the participants? |
nt-2874 | col : name | red vs. blue | couples team | status | weight | total votes row 1 : valerica marin 47, bucharest | none | nan | eliminated week 1 | 142 kg | 0 row 2 : tatiana musat 25, bucharest | none | nan | eliminated week 1 | 150 kg | 0 row 3 : gige state 47, bucharest | none | nan | eliminated week 1 | 200 kg | 0 row... | table_csv/204_688.csv | 2 | {
"column_index": [
3
],
"row_index": [
9
]
} | [
"what are the names of the participants?",
"which is named briscu?",
"what was his status?"
] | 2 | 5th voted out week 5 | [
"Name",
"Red vs. Blue",
"Couples team",
"Status",
"Weight",
"Total Votes"
] | what was his status? | [
[
"Valerica Marin 47, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"142 kg",
"0"
],
[
"Tatiana Musat 25, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"150 kg",
"0"
],
[
"Gige State 47, Bucharest",
"None",
"nan",
"Eliminated Week 1",
"... | [
"5th Voted Out Week 5"
] | what was his status? || which is named briscu? | what are the names of the participants? |
nt-674 | col : opposition | matches | won | drawn | lost | for | against | win% row 1 : bhopal badshahs | 2 | 0 | 1 | 1 | 7 | 8 | 0.00% row 2 : chennai cheetahs | 2 | 1 | 0 | 1 | 6 | 5 | 50.00% row 3 : delhi wizards | 2 | 2 | 0 | 0 | 4 | 2 | 100.00% row 4 : karnataka lions | 2 | 1 | 0 | 1 | 8 | 4 | 50.00% row 5 : mumbai marines... | table_csv/204_334.csv | 0 | {
"column_index": [
7
],
"row_index": [
5
]
} | [
"what was the win percentage of the strykers?"
] | 0 | 66.67% | [
"Opposition",
"Matches",
"Won",
"Drawn",
"Lost",
"For",
"Against",
"Win%"
] | what was the win percentage of the strykers? | [
[
"Bhopal Badshahs",
"2",
"0",
"1",
"1",
"7",
"8",
"0.00%"
],
[
"Chennai Cheetahs",
"2",
"1",
"0",
"1",
"6",
"5",
"50.00%"
],
[
"Delhi Wizards",
"2",
"2",
"0",
"0",
"4",
"2",
"100.00%"
],
[
"Karnataka Lio... | [
"66.67%"
] | what was the win percentage of the strykers? || |
nt-674 | col : opposition | matches | won | drawn | lost | for | against | win% row 1 : bhopal badshahs | 2 | 0 | 1 | 1 | 7 | 8 | 0.00% row 2 : chennai cheetahs | 2 | 1 | 0 | 1 | 6 | 5 | 50.00% row 3 : delhi wizards | 2 | 2 | 0 | 0 | 4 | 2 | 100.00% row 4 : karnataka lions | 2 | 1 | 0 | 1 | 8 | 4 | 50.00% row 5 : mumbai marines... | table_csv/204_334.csv | 1 | {
"column_index": [
7
],
"row_index": [
3
]
} | [
"what was the win percentage of the strykers?",
"what was the win percentage of the lions?"
] | 0 | 50.00% | [
"Opposition",
"Matches",
"Won",
"Drawn",
"Lost",
"For",
"Against",
"Win%"
] | what was the win percentage of the lions? | [
[
"Bhopal Badshahs",
"2",
"0",
"1",
"1",
"7",
"8",
"0.00%"
],
[
"Chennai Cheetahs",
"2",
"1",
"0",
"1",
"6",
"5",
"50.00%"
],
[
"Delhi Wizards",
"2",
"2",
"0",
"0",
"4",
"2",
"100.00%"
],
[
"Karnataka Lio... | [
"50.00%"
] | what was the win percentage of the lions? || what was the win percentage of the strykers? |
nt-674 | col : opposition | matches | won | drawn | lost | for | against | win% row 1 : bhopal badshahs | 2 | 0 | 1 | 1 | 7 | 8 | 0.00% row 2 : chennai cheetahs | 2 | 1 | 0 | 1 | 6 | 5 | 50.00% row 3 : delhi wizards | 2 | 2 | 0 | 0 | 4 | 2 | 100.00% row 4 : karnataka lions | 2 | 1 | 0 | 1 | 8 | 4 | 50.00% row 5 : mumbai marines... | table_csv/204_334.csv | 2 | {
"column_index": [
0
],
"row_index": [
5
]
} | [
"what was the win percentage of the strykers?",
"what was the win percentage of the lions?",
"of the strykers and the lions, what team had the highest win percentage?"
] | 0 | pune strykers | [
"Opposition",
"Matches",
"Won",
"Drawn",
"Lost",
"For",
"Against",
"Win%"
] | of the strykers and the lions, what team had the highest win percentage? | [
[
"Bhopal Badshahs",
"2",
"0",
"1",
"1",
"7",
"8",
"0.00%"
],
[
"Chennai Cheetahs",
"2",
"1",
"0",
"1",
"6",
"5",
"50.00%"
],
[
"Delhi Wizards",
"2",
"2",
"0",
"0",
"4",
"2",
"100.00%"
],
[
"Karnataka Lio... | [
"Pune Strykers"
] | of the strykers and the lions, what team had the highest win percentage? || what was the win percentage of the lions? | what was the win percentage of the strykers? |
nt-674 | col : opposition | matches | won | drawn | lost | for | against | win% row 1 : bhopal badshahs | 2 | 0 | 1 | 1 | 7 | 8 | 0.00% row 2 : chennai cheetahs | 2 | 1 | 0 | 1 | 6 | 5 | 50.00% row 3 : delhi wizards | 2 | 2 | 0 | 0 | 4 | 2 | 100.00% row 4 : karnataka lions | 2 | 1 | 0 | 1 | 8 | 4 | 50.00% row 5 : mumbai marines... | table_csv/204_334.csv | 0 | {
"column_index": [
0,
0,
0,
0
],
"row_index": [
1,
3,
5,
6
]
} | [
"which teams have a win percentage of either 66.67% or 50%"
] | 1 | chennai cheetahs, karnataka lions, pune strykers, sher-e-punjab | [
"Opposition",
"Matches",
"Won",
"Drawn",
"Lost",
"For",
"Against",
"Win%"
] | which teams have a win percentage of either 66.67% or 50% | [
[
"Bhopal Badshahs",
"2",
"0",
"1",
"1",
"7",
"8",
"0.00%"
],
[
"Chennai Cheetahs",
"2",
"1",
"0",
"1",
"6",
"5",
"50.00%"
],
[
"Delhi Wizards",
"2",
"2",
"0",
"0",
"4",
"2",
"100.00%"
],
[
"Karnataka Lio... | [
"Chennai Cheetahs",
"Karnataka Lions",
"Pune Strykers",
"Sher-e-Punjab"
] | which teams have a win percentage of either 66.67% or 50% || |
nt-674 | col : opposition | matches | won | drawn | lost | for | against | win% row 1 : bhopal badshahs | 2 | 0 | 1 | 1 | 7 | 8 | 0.00% row 2 : chennai cheetahs | 2 | 1 | 0 | 1 | 6 | 5 | 50.00% row 3 : delhi wizards | 2 | 2 | 0 | 0 | 4 | 2 | 100.00% row 4 : karnataka lions | 2 | 1 | 0 | 1 | 8 | 4 | 50.00% row 5 : mumbai marines... | table_csv/204_334.csv | 1 | {
"column_index": [
0
],
"row_index": [
5
]
} | [
"which teams have a win percentage of either 66.67% or 50%",
"out of the following, which one doesn't have a win percentage of 50%?"
] | 1 | pune strykers | [
"Opposition",
"Matches",
"Won",
"Drawn",
"Lost",
"For",
"Against",
"Win%"
] | out of the following, which one doesn't have a win percentage of 50%? | [
[
"Bhopal Badshahs",
"2",
"0",
"1",
"1",
"7",
"8",
"0.00%"
],
[
"Chennai Cheetahs",
"2",
"1",
"0",
"1",
"6",
"5",
"50.00%"
],
[
"Delhi Wizards",
"2",
"2",
"0",
"0",
"4",
"2",
"100.00%"
],
[
"Karnataka Lio... | [
"Pune Strykers"
] | out of the following, which one doesn't have a win percentage of 50%? || which teams have a win percentage of either 66.67% or 50% |
nt-674 | col : opposition | matches | won | drawn | lost | for | against | win% row 1 : bhopal badshahs | 2 | 0 | 1 | 1 | 7 | 8 | 0.00% row 2 : chennai cheetahs | 2 | 1 | 0 | 1 | 6 | 5 | 50.00% row 3 : delhi wizards | 2 | 2 | 0 | 0 | 4 | 2 | 100.00% row 4 : karnataka lions | 2 | 1 | 0 | 1 | 8 | 4 | 50.00% row 5 : mumbai marines... | table_csv/204_334.csv | 0 | {
"column_index": [
7
],
"row_index": [
3
]
} | [
"what is the win% for the karnataka lions?"
] | 2 | 50.00% | [
"Opposition",
"Matches",
"Won",
"Drawn",
"Lost",
"For",
"Against",
"Win%"
] | what is the win% for the karnataka lions? | [
[
"Bhopal Badshahs",
"2",
"0",
"1",
"1",
"7",
"8",
"0.00%"
],
[
"Chennai Cheetahs",
"2",
"1",
"0",
"1",
"6",
"5",
"50.00%"
],
[
"Delhi Wizards",
"2",
"2",
"0",
"0",
"4",
"2",
"100.00%"
],
[
"Karnataka Lio... | [
"50.00%"
] | what is the win% for the karnataka lions? || |
nt-674 | col : opposition | matches | won | drawn | lost | for | against | win% row 1 : bhopal badshahs | 2 | 0 | 1 | 1 | 7 | 8 | 0.00% row 2 : chennai cheetahs | 2 | 1 | 0 | 1 | 6 | 5 | 50.00% row 3 : delhi wizards | 2 | 2 | 0 | 0 | 4 | 2 | 100.00% row 4 : karnataka lions | 2 | 1 | 0 | 1 | 8 | 4 | 50.00% row 5 : mumbai marines... | table_csv/204_334.csv | 1 | {
"column_index": [
7
],
"row_index": [
5
]
} | [
"what is the win% for the karnataka lions?",
"what is the win% for the pune strykers?"
] | 2 | 66.67% | [
"Opposition",
"Matches",
"Won",
"Drawn",
"Lost",
"For",
"Against",
"Win%"
] | what is the win% for the pune strykers? | [
[
"Bhopal Badshahs",
"2",
"0",
"1",
"1",
"7",
"8",
"0.00%"
],
[
"Chennai Cheetahs",
"2",
"1",
"0",
"1",
"6",
"5",
"50.00%"
],
[
"Delhi Wizards",
"2",
"2",
"0",
"0",
"4",
"2",
"100.00%"
],
[
"Karnataka Lio... | [
"66.67%"
] | what is the win% for the pune strykers? || what is the win% for the karnataka lions? |
nt-674 | col : opposition | matches | won | drawn | lost | for | against | win% row 1 : bhopal badshahs | 2 | 0 | 1 | 1 | 7 | 8 | 0.00% row 2 : chennai cheetahs | 2 | 1 | 0 | 1 | 6 | 5 | 50.00% row 3 : delhi wizards | 2 | 2 | 0 | 0 | 4 | 2 | 100.00% row 4 : karnataka lions | 2 | 1 | 0 | 1 | 8 | 4 | 50.00% row 5 : mumbai marines... | table_csv/204_334.csv | 2 | {
"column_index": [
0
],
"row_index": [
5
]
} | [
"what is the win% for the karnataka lions?",
"what is the win% for the pune strykers?",
"which team had a higher win%?"
] | 2 | pune strykers | [
"Opposition",
"Matches",
"Won",
"Drawn",
"Lost",
"For",
"Against",
"Win%"
] | which team had a higher win%? | [
[
"Bhopal Badshahs",
"2",
"0",
"1",
"1",
"7",
"8",
"0.00%"
],
[
"Chennai Cheetahs",
"2",
"1",
"0",
"1",
"6",
"5",
"50.00%"
],
[
"Delhi Wizards",
"2",
"2",
"0",
"0",
"4",
"2",
"100.00%"
],
[
"Karnataka Lio... | [
"Pune Strykers"
] | which team had a higher win%? || what is the win% for the pune strykers? | what is the win% for the karnataka lions? |
nt-11682 | col : name | position | length [km] | drainage basin area [km2] | confluence [by lahn-km] | mouth elevation [m above msl] row 1 : feudinge (ruppersbach) | left | 6.3 | 21.2 | 9.8 | 388 row 2 : ilse | right | 8.4 | 11.8 | 10.5 | 382 row 3 : banfe | right | 11.5 | 38.9 | 18.5 | 326 row 4 : laasphe | left | 8.3 | 19.6 | 1... | table_csv/201_46.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
... | [
"what are all the names?"
] | 0 | feudinge (ruppersbach), ilse, banfe, laasphe, perf, dautphe, wetschaft, ohm, allna, zwester ohm, salzbode, lumda, wieseck, bieber, kleebach, wetzbach, dill, solmsbach, iserbach (mottbach), ulmbach, kallenbach, weil, kerkerbach, emsbach, elbbach, aar, dorsbach, gelbach (aubach), muhlbach, emsbach | [
"Name",
"Position",
"Length [km]",
"Drainage basin area [km2]",
"Confluence [by Lahn-km]",
"Mouth elevation [m above MSL]"
] | what are all the names? | [
[
"Feudinge (Ruppersbach)",
"left",
"6.3",
"21.2",
"9.8",
"388"
],
[
"Ilse",
"right",
"8.4",
"11.8",
"10.5",
"382"
],
[
"Banfe",
"right",
"11.5",
"38.9",
"18.5",
"326"
],
[
"Laasphe",
"left",
"8.3",
"19.6",
"19.4... | [
"Feudinge (Ruppersbach)",
"Ilse",
"Banfe",
"Laasphe",
"Perf",
"Dautphe",
"Wetschaft",
"Ohm",
"Allna",
"Zwester Ohm",
"Salzbode",
"Lumda",
"Wieseck",
"Bieber",
"Kleebach",
"Wetzbach",
"Dill",
"Solmsbach",
"Iserbach (Mottbach)",
"Ulmbach",
"Kallenbach",
"Weil",
"Kerkerbach"... | what are all the names? || |
nt-11682 | col : name | position | length [km] | drainage basin area [km2] | confluence [by lahn-km] | mouth elevation [m above msl] row 1 : feudinge (ruppersbach) | left | 6.3 | 21.2 | 9.8 | 388 row 2 : ilse | right | 8.4 | 11.8 | 10.5 | 382 row 3 : banfe | right | 11.5 | 38.9 | 18.5 | 326 row 4 : laasphe | left | 8.3 | 19.6 | 1... | table_csv/201_46.csv | 1 | {
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
... | [
"what are all the names?",
"and their positions?"
] | 0 | left, right, right, left, right, left, left, left, right, left, right, left, left, right, left, left, right, left, left, right, right, left, right, left, right, left, left, right, left, right | [
"Name",
"Position",
"Length [km]",
"Drainage basin area [km2]",
"Confluence [by Lahn-km]",
"Mouth elevation [m above MSL]"
] | and their positions? | [
[
"Feudinge (Ruppersbach)",
"left",
"6.3",
"21.2",
"9.8",
"388"
],
[
"Ilse",
"right",
"8.4",
"11.8",
"10.5",
"382"
],
[
"Banfe",
"right",
"11.5",
"38.9",
"18.5",
"326"
],
[
"Laasphe",
"left",
"8.3",
"19.6",
"19.4... | [
"left",
"right",
"right",
"left",
"right",
"left",
"left",
"left",
"right",
"left",
"right",
"left",
"left",
"right",
"left",
"left",
"right",
"left",
"left",
"right",
"right",
"left",
"right",
"left",
"right",
"left",
"left",
"right",
"left",
"right"
] | and their positions? || what are all the names? |
nt-11682 | col : name | position | length [km] | drainage basin area [km2] | confluence [by lahn-km] | mouth elevation [m above msl] row 1 : feudinge (ruppersbach) | left | 6.3 | 21.2 | 9.8 | 388 row 2 : ilse | right | 8.4 | 11.8 | 10.5 | 382 row 3 : banfe | right | 11.5 | 38.9 | 18.5 | 326 row 4 : laasphe | left | 8.3 | 19.6 | 1... | table_csv/201_46.csv | 2 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
3,
5,
6,
7,
9,
11,
12,
14,
15,
17,
18,
21,
23,
25,
26,
28
]
} | [
"what are all the names?",
"and their positions?",
"and of those, which are positioned to the left?"
] | 0 | feudinge (ruppersbach), laasphe, dautphe, wetschaft, ohm, zwester ohm, lumda, wieseck, kleebach, wetzbach, solmsbach, iserbach (mottbach), weil, emsbach, aar, dorsbach, muhlbach | [
"Name",
"Position",
"Length [km]",
"Drainage basin area [km2]",
"Confluence [by Lahn-km]",
"Mouth elevation [m above MSL]"
] | and of those, which are positioned to the left? | [
[
"Feudinge (Ruppersbach)",
"left",
"6.3",
"21.2",
"9.8",
"388"
],
[
"Ilse",
"right",
"8.4",
"11.8",
"10.5",
"382"
],
[
"Banfe",
"right",
"11.5",
"38.9",
"18.5",
"326"
],
[
"Laasphe",
"left",
"8.3",
"19.6",
"19.4... | [
"Feudinge (Ruppersbach)",
"Laasphe",
"Dautphe",
"Wetschaft",
"Ohm",
"Zwester Ohm",
"Lumda",
"Wieseck",
"Kleebach",
"Wetzbach",
"Solmsbach",
"Iserbach (Mottbach)",
"Weil",
"Emsbach",
"Aar",
"Dorsbach",
"Muhlbach"
] | and of those, which are positioned to the left? || and their positions? | what are all the names? |
nt-11682 | col : name | position | length [km] | drainage basin area [km2] | confluence [by lahn-km] | mouth elevation [m above msl] row 1 : feudinge (ruppersbach) | left | 6.3 | 21.2 | 9.8 | 388 row 2 : ilse | right | 8.4 | 11.8 | 10.5 | 382 row 3 : banfe | right | 11.5 | 38.9 | 18.5 | 326 row 4 : laasphe | left | 8.3 | 19.6 | 1... | table_csv/201_46.csv | 3 | {
"column_index": [
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2
],
"row_index": [
0,
3,
5,
6,
7,
9,
11,
12,
14,
15,
17,
18,
21,
23,
25,
26,
28
]
} | [
"what are all the names?",
"and their positions?",
"and of those, which are positioned to the left?",
"and of those, what are their lengths?"
] | 0 | 6.3, 8.3, 8.8, 29.0, 59.7, 20.0, 30.0, 24.3, 26.9, 11.7, 24.6, 19.2, 46.6, 39.1, 49.7, 32.0, 32.1 | [
"Name",
"Position",
"Length [km]",
"Drainage basin area [km2]",
"Confluence [by Lahn-km]",
"Mouth elevation [m above MSL]"
] | and of those, what are their lengths? | [
[
"Feudinge (Ruppersbach)",
"left",
"6.3",
"21.2",
"9.8",
"388"
],
[
"Ilse",
"right",
"8.4",
"11.8",
"10.5",
"382"
],
[
"Banfe",
"right",
"11.5",
"38.9",
"18.5",
"326"
],
[
"Laasphe",
"left",
"8.3",
"19.6",
"19.4... | [
"6.3",
"8.3",
"8.8",
"29.0",
"59.7",
"20.0",
"30.0",
"24.3",
"26.9",
"11.7",
"24.6",
"19.2",
"46.6",
"39.1",
"49.7",
"32.0",
"32.1"
] | and of those, what are their lengths? || and of those, which are positioned to the left? | and their positions? | what are all the names? |
nt-11682 | col : name | position | length [km] | drainage basin area [km2] | confluence [by lahn-km] | mouth elevation [m above msl] row 1 : feudinge (ruppersbach) | left | 6.3 | 21.2 | 9.8 | 388 row 2 : ilse | right | 8.4 | 11.8 | 10.5 | 382 row 3 : banfe | right | 11.5 | 38.9 | 18.5 | 326 row 4 : laasphe | left | 8.3 | 19.6 | 1... | table_csv/201_46.csv | 4 | {
"column_index": [
0
],
"row_index": [
21
]
} | [
"what are all the names?",
"and their positions?",
"and of those, which are positioned to the left?",
"and of those, what are their lengths?",
"and for which name was the 46.6 km length?"
] | 0 | weil | [
"Name",
"Position",
"Length [km]",
"Drainage basin area [km2]",
"Confluence [by Lahn-km]",
"Mouth elevation [m above MSL]"
] | and for which name was the 46.6 km length? | [
[
"Feudinge (Ruppersbach)",
"left",
"6.3",
"21.2",
"9.8",
"388"
],
[
"Ilse",
"right",
"8.4",
"11.8",
"10.5",
"382"
],
[
"Banfe",
"right",
"11.5",
"38.9",
"18.5",
"326"
],
[
"Laasphe",
"left",
"8.3",
"19.6",
"19.4... | [
"Weil"
] | and for which name was the 46.6 km length? || and of those, what are their lengths? | and of those, which are positioned to the left? | and their positions? | what are all the names? |
nt-11682 | col : name | position | length [km] | drainage basin area [km2] | confluence [by lahn-km] | mouth elevation [m above msl] row 1 : feudinge (ruppersbach) | left | 6.3 | 21.2 | 9.8 | 388 row 2 : ilse | right | 8.4 | 11.8 | 10.5 | 382 row 3 : banfe | right | 11.5 | 38.9 | 18.5 | 326 row 4 : laasphe | left | 8.3 | 19.6 | 1... | table_csv/201_46.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
... | [
"what are the names of the tributaries?"
] | 1 | feudinge (ruppersbach), ilse, banfe, laasphe, perf, dautphe, wetschaft, ohm, allna, zwester ohm, salzbode, lumda, wieseck, bieber, kleebach, wetzbach, dill, solmsbach, iserbach (mottbach), ulmbach, kallenbach, weil, kerkerbach, emsbach, elbbach, aar, dorsbach, gelbach (aubach), muhlbach, emsbach | [
"Name",
"Position",
"Length [km]",
"Drainage basin area [km2]",
"Confluence [by Lahn-km]",
"Mouth elevation [m above MSL]"
] | what are the names of the tributaries? | [
[
"Feudinge (Ruppersbach)",
"left",
"6.3",
"21.2",
"9.8",
"388"
],
[
"Ilse",
"right",
"8.4",
"11.8",
"10.5",
"382"
],
[
"Banfe",
"right",
"11.5",
"38.9",
"18.5",
"326"
],
[
"Laasphe",
"left",
"8.3",
"19.6",
"19.4... | [
"Feudinge (Ruppersbach)",
"Ilse",
"Banfe",
"Laasphe",
"Perf",
"Dautphe",
"Wetschaft",
"Ohm",
"Allna",
"Zwester Ohm",
"Salzbode",
"Lumda",
"Wieseck",
"Bieber",
"Kleebach",
"Wetzbach",
"Dill",
"Solmsbach",
"Iserbach (Mottbach)",
"Ulmbach",
"Kallenbach",
"Weil",
"Kerkerbach"... | what are the names of the tributaries? || |
nt-11682 | col : name | position | length [km] | drainage basin area [km2] | confluence [by lahn-km] | mouth elevation [m above msl] row 1 : feudinge (ruppersbach) | left | 6.3 | 21.2 | 9.8 | 388 row 2 : ilse | right | 8.4 | 11.8 | 10.5 | 382 row 3 : banfe | right | 11.5 | 38.9 | 18.5 | 326 row 4 : laasphe | left | 8.3 | 19.6 | 1... | table_csv/201_46.csv | 1 | {
"column_index": [
0
],
"row_index": [
21
]
} | [
"what are the names of the tributaries?",
"which tributary has a length of 46.6 km?"
] | 1 | weil | [
"Name",
"Position",
"Length [km]",
"Drainage basin area [km2]",
"Confluence [by Lahn-km]",
"Mouth elevation [m above MSL]"
] | which tributary has a length of 46.6 km? | [
[
"Feudinge (Ruppersbach)",
"left",
"6.3",
"21.2",
"9.8",
"388"
],
[
"Ilse",
"right",
"8.4",
"11.8",
"10.5",
"382"
],
[
"Banfe",
"right",
"11.5",
"38.9",
"18.5",
"326"
],
[
"Laasphe",
"left",
"8.3",
"19.6",
"19.4... | [
"Weil"
] | which tributary has a length of 46.6 km? || what are the names of the tributaries? |
nt-11682 | col : name | position | length [km] | drainage basin area [km2] | confluence [by lahn-km] | mouth elevation [m above msl] row 1 : feudinge (ruppersbach) | left | 6.3 | 21.2 | 9.8 | 388 row 2 : ilse | right | 8.4 | 11.8 | 10.5 | 382 row 3 : banfe | right | 11.5 | 38.9 | 18.5 | 326 row 4 : laasphe | left | 8.3 | 19.6 | 1... | table_csv/201_46.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
3,
5,
6,
7,
9,
11,
12,
14,
15,
17,
18,
21,
23,
25,
26,
28
]
} | [
"what tributaries are positioned to the left?"
] | 2 | feudinge (ruppersbach), laasphe, dautphe, wetschaft, ohm, zwester ohm, lumda, wieseck, kleebach, wetzbach, solmsbach, iserbach (mottbach), weil, emsbach, aar, dorsbach, muhlbach | [
"Name",
"Position",
"Length [km]",
"Drainage basin area [km2]",
"Confluence [by Lahn-km]",
"Mouth elevation [m above MSL]"
] | what tributaries are positioned to the left? | [
[
"Feudinge (Ruppersbach)",
"left",
"6.3",
"21.2",
"9.8",
"388"
],
[
"Ilse",
"right",
"8.4",
"11.8",
"10.5",
"382"
],
[
"Banfe",
"right",
"11.5",
"38.9",
"18.5",
"326"
],
[
"Laasphe",
"left",
"8.3",
"19.6",
"19.4... | [
"Feudinge (Ruppersbach)",
"Laasphe",
"Dautphe",
"Wetschaft",
"Ohm",
"Zwester Ohm",
"Lumda",
"Wieseck",
"Kleebach",
"Wetzbach",
"Solmsbach",
"Iserbach (Mottbach)",
"Weil",
"Emsbach",
"Aar",
"Dorsbach",
"Muhlbach"
] | what tributaries are positioned to the left? || |
nt-11682 | col : name | position | length [km] | drainage basin area [km2] | confluence [by lahn-km] | mouth elevation [m above msl] row 1 : feudinge (ruppersbach) | left | 6.3 | 21.2 | 9.8 | 388 row 2 : ilse | right | 8.4 | 11.8 | 10.5 | 382 row 3 : banfe | right | 11.5 | 38.9 | 18.5 | 326 row 4 : laasphe | left | 8.3 | 19.6 | 1... | table_csv/201_46.csv | 1 | {
"column_index": [
0
],
"row_index": [
21
]
} | [
"what tributaries are positioned to the left?",
"of these, which as a length of 46.6 km?"
] | 2 | weil | [
"Name",
"Position",
"Length [km]",
"Drainage basin area [km2]",
"Confluence [by Lahn-km]",
"Mouth elevation [m above MSL]"
] | of these, which as a length of 46.6 km? | [
[
"Feudinge (Ruppersbach)",
"left",
"6.3",
"21.2",
"9.8",
"388"
],
[
"Ilse",
"right",
"8.4",
"11.8",
"10.5",
"382"
],
[
"Banfe",
"right",
"11.5",
"38.9",
"18.5",
"326"
],
[
"Laasphe",
"left",
"8.3",
"19.6",
"19.4... | [
"Weil"
] | of these, which as a length of 46.6 km? || what tributaries are positioned to the left? |
nt-326 | col : ages attained (years) | catholic | protestant and other christian | other religion | none or not stated row 1 : 0 to 4 | 44.3% | 31.7% | 0.9% | 23.2% row 2 : 5 to 9 | 45.5% | 36.1% | 0.7% | 17.7% row 3 : 10 to 14 | 45.9% | 37.9% | 0.6% | 15.6% row 4 : 15 to 19 | 44.8% | 37.6% | 0.6% | 17.0% row 5 : 20 to 24 | 43.... | table_csv/203_770.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18
]... | [
"how many age-ranges include people that are protestant?"
] | 0 | 0 to 4, 5 to 9, 10 to 14, 15 to 19, 20 to 24, 25 to 29, 30 to 34, 35 to 39, 40 to 44, 45 to 49, 50 to 54, 55 to 59, 60 to 64, 65 to 69, 70 to 74, 75 to 79, 80 to 84, 85 to 89, 90 and over | [
"Ages attained (years)",
"Catholic",
"Protestant and other Christian",
"Other Religion",
"None or not stated"
] | how many age-ranges include people that are protestant? | [
[
"0 to 4",
"44.3%",
"31.7%",
"0.9%",
"23.2%"
],
[
"5 to 9",
"45.5%",
"36.1%",
"0.7%",
"17.7%"
],
[
"10 to 14",
"45.9%",
"37.9%",
"0.6%",
"15.6%"
],
[
"15 to 19",
"44.8%",
"37.6%",
"0.6%",
"17.0%"
],
[
"20 to 24",
... | [
"0 to 4",
"5 to 9",
"10 to 14",
"15 to 19",
"20 to 24",
"25 to 29",
"30 to 34",
"35 to 39",
"40 to 44",
"45 to 49",
"50 to 54",
"55 to 59",
"60 to 64",
"65 to 69",
"70 to 74",
"75 to 79",
"80 to 84",
"85 to 89",
"90 and over"
] | how many age-ranges include people that are protestant? || |
nt-326 | col : ages attained (years) | catholic | protestant and other christian | other religion | none or not stated row 1 : 0 to 4 | 44.3% | 31.7% | 0.9% | 23.2% row 2 : 5 to 9 | 45.5% | 36.1% | 0.7% | 17.7% row 3 : 10 to 14 | 45.9% | 37.9% | 0.6% | 15.6% row 4 : 15 to 19 | 44.8% | 37.6% | 0.6% | 17.0% row 5 : 20 to 24 | 43.... | table_csv/203_770.csv | 1 | {
"column_index": [
0
],
"row_index": [
12
]
} | [
"how many age-ranges include people that are protestant?",
"which includes at least 50% protestants?"
] | 0 | 60 to 64 | [
"Ages attained (years)",
"Catholic",
"Protestant and other Christian",
"Other Religion",
"None or not stated"
] | which includes at least 50% protestants? | [
[
"0 to 4",
"44.3%",
"31.7%",
"0.9%",
"23.2%"
],
[
"5 to 9",
"45.5%",
"36.1%",
"0.7%",
"17.7%"
],
[
"10 to 14",
"45.9%",
"37.9%",
"0.6%",
"15.6%"
],
[
"15 to 19",
"44.8%",
"37.6%",
"0.6%",
"17.0%"
],
[
"20 to 24",
... | [
"60 to 64"
] | which includes at least 50% protestants? || how many age-ranges include people that are protestant? |
nt-326 | col : ages attained (years) | catholic | protestant and other christian | other religion | none or not stated row 1 : 0 to 4 | 44.3% | 31.7% | 0.9% | 23.2% row 2 : 5 to 9 | 45.5% | 36.1% | 0.7% | 17.7% row 3 : 10 to 14 | 45.9% | 37.9% | 0.6% | 15.6% row 4 : 15 to 19 | 44.8% | 37.6% | 0.6% | 17.0% row 5 : 20 to 24 | 43.... | table_csv/203_770.csv | 0 | {
"column_index": [
0
],
"row_index": [
0
]
} | [
"what is the age range for catholic 50%?"
] | 1 | 0 to 4 | [
"Ages attained (years)",
"Catholic",
"Protestant and other Christian",
"Other Religion",
"None or not stated"
] | what is the age range for catholic 50%? | [
[
"0 to 4",
"44.3%",
"31.7%",
"0.9%",
"23.2%"
],
[
"5 to 9",
"45.5%",
"36.1%",
"0.7%",
"17.7%"
],
[
"10 to 14",
"45.9%",
"37.9%",
"0.6%",
"15.6%"
],
[
"15 to 19",
"44.8%",
"37.6%",
"0.6%",
"17.0%"
],
[
"20 to 24",
... | [
"0 to 4"
] | what is the age range for catholic 50%? || |
nt-326 | col : ages attained (years) | catholic | protestant and other christian | other religion | none or not stated row 1 : 0 to 4 | 44.3% | 31.7% | 0.9% | 23.2% row 2 : 5 to 9 | 45.5% | 36.1% | 0.7% | 17.7% row 3 : 10 to 14 | 45.9% | 37.9% | 0.6% | 15.6% row 4 : 15 to 19 | 44.8% | 37.6% | 0.6% | 17.0% row 5 : 20 to 24 | 43.... | table_csv/203_770.csv | 1 | {
"column_index": [
0
],
"row_index": [
12
]
} | [
"what is the age range for catholic 50%?",
"what age range does protestant meet this percentage?"
] | 1 | 60 to 64 | [
"Ages attained (years)",
"Catholic",
"Protestant and other Christian",
"Other Religion",
"None or not stated"
] | what age range does protestant meet this percentage? | [
[
"0 to 4",
"44.3%",
"31.7%",
"0.9%",
"23.2%"
],
[
"5 to 9",
"45.5%",
"36.1%",
"0.7%",
"17.7%"
],
[
"10 to 14",
"45.9%",
"37.9%",
"0.6%",
"15.6%"
],
[
"15 to 19",
"44.8%",
"37.6%",
"0.6%",
"17.0%"
],
[
"20 to 24",
... | [
"60 to 64"
] | what age range does protestant meet this percentage? || what is the age range for catholic 50%? |
nt-326 | col : ages attained (years) | catholic | protestant and other christian | other religion | none or not stated row 1 : 0 to 4 | 44.3% | 31.7% | 0.9% | 23.2% row 2 : 5 to 9 | 45.5% | 36.1% | 0.7% | 17.7% row 3 : 10 to 14 | 45.9% | 37.9% | 0.6% | 15.6% row 4 : 15 to 19 | 44.8% | 37.6% | 0.6% | 17.0% row 5 : 20 to 24 | 43.... | table_csv/203_770.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18
]... | [
"how are the age ranges broken down in the religion in northern ireland statistics?"
] | 2 | 0 to 4, 5 to 9, 10 to 14, 15 to 19, 20 to 24, 25 to 29, 30 to 34, 35 to 39, 40 to 44, 45 to 49, 50 to 54, 55 to 59, 60 to 64, 65 to 69, 70 to 74, 75 to 79, 80 to 84, 85 to 89, 90 and over | [
"Ages attained (years)",
"Catholic",
"Protestant and other Christian",
"Other Religion",
"None or not stated"
] | how are the age ranges broken down in the religion in northern ireland statistics? | [
[
"0 to 4",
"44.3%",
"31.7%",
"0.9%",
"23.2%"
],
[
"5 to 9",
"45.5%",
"36.1%",
"0.7%",
"17.7%"
],
[
"10 to 14",
"45.9%",
"37.9%",
"0.6%",
"15.6%"
],
[
"15 to 19",
"44.8%",
"37.6%",
"0.6%",
"17.0%"
],
[
"20 to 24",
... | [
"0 to 4",
"5 to 9",
"10 to 14",
"15 to 19",
"20 to 24",
"25 to 29",
"30 to 34",
"35 to 39",
"40 to 44",
"45 to 49",
"50 to 54",
"55 to 59",
"60 to 64",
"65 to 69",
"70 to 74",
"75 to 79",
"80 to 84",
"85 to 89",
"90 and over"
] | how are the age ranges broken down in the religion in northern ireland statistics? || |
nt-326 | col : ages attained (years) | catholic | protestant and other christian | other religion | none or not stated row 1 : 0 to 4 | 44.3% | 31.7% | 0.9% | 23.2% row 2 : 5 to 9 | 45.5% | 36.1% | 0.7% | 17.7% row 3 : 10 to 14 | 45.9% | 37.9% | 0.6% | 15.6% row 4 : 15 to 19 | 44.8% | 37.6% | 0.6% | 17.0% row 5 : 20 to 24 | 43.... | table_csv/203_770.csv | 1 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
12,
13,
14,
15,
16,
17,
18
]
} | [
"how are the age ranges broken down in the religion in northern ireland statistics?",
"in which age ranges are the majority of people considered protestant?"
] | 2 | 60 to 64, 65 to 69, 70 to 74, 75 to 79, 80 to 84, 85 to 89, 90 and over | [
"Ages attained (years)",
"Catholic",
"Protestant and other Christian",
"Other Religion",
"None or not stated"
] | in which age ranges are the majority of people considered protestant? | [
[
"0 to 4",
"44.3%",
"31.7%",
"0.9%",
"23.2%"
],
[
"5 to 9",
"45.5%",
"36.1%",
"0.7%",
"17.7%"
],
[
"10 to 14",
"45.9%",
"37.9%",
"0.6%",
"15.6%"
],
[
"15 to 19",
"44.8%",
"37.6%",
"0.6%",
"17.0%"
],
[
"20 to 24",
... | [
"60 to 64",
"65 to 69",
"70 to 74",
"75 to 79",
"80 to 84",
"85 to 89",
"90 and over"
] | in which age ranges are the majority of people considered protestant? || how are the age ranges broken down in the religion in northern ireland statistics? |
nt-326 | col : ages attained (years) | catholic | protestant and other christian | other religion | none or not stated row 1 : 0 to 4 | 44.3% | 31.7% | 0.9% | 23.2% row 2 : 5 to 9 | 45.5% | 36.1% | 0.7% | 17.7% row 3 : 10 to 14 | 45.9% | 37.9% | 0.6% | 15.6% row 4 : 15 to 19 | 44.8% | 37.6% | 0.6% | 17.0% row 5 : 20 to 24 | 43.... | table_csv/203_770.csv | 2 | {
"column_index": [
0
],
"row_index": [
12
]
} | [
"how are the age ranges broken down in the religion in northern ireland statistics?",
"in which age ranges are the majority of people considered protestant?",
"and of those, which is the youngest age range?"
] | 2 | 60 to 64 | [
"Ages attained (years)",
"Catholic",
"Protestant and other Christian",
"Other Religion",
"None or not stated"
] | and of those, which is the youngest age range? | [
[
"0 to 4",
"44.3%",
"31.7%",
"0.9%",
"23.2%"
],
[
"5 to 9",
"45.5%",
"36.1%",
"0.7%",
"17.7%"
],
[
"10 to 14",
"45.9%",
"37.9%",
"0.6%",
"15.6%"
],
[
"15 to 19",
"44.8%",
"37.6%",
"0.6%",
"17.0%"
],
[
"20 to 24",
... | [
"60 to 64"
] | and of those, which is the youngest age range? || in which age ranges are the majority of people considered protestant? | how are the age ranges broken down in the religion in northern ireland statistics? |
nt-325 | col : no. | player | position | career | date no. retired row 1 : 1 | eddie giacomin | g | 1965-76 | march 15, 1989 row 2 : 2 | brian leetch | d | 1987-2004 | january 24, 2008 row 3 : 3 | harry howell | d | 1952-69 | february 22, 2009 row 4 : 7 | rod gilbert | rw | 1960-78 | october 14, 1979 row 5 : 9 1 | andy bathgate... | table_csv/203_754.csv | 0 | {
"column_index": [
0,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
0,
1,
2,
3,
4,
5,
6,
7,
8
]
} | [
"what players retired?"
] | 0 | 1, eddie giacomin, brian leetch, harry howell, rod gilbert, andy bathgate, adam graves, mark messier, mike richter, wayne gretzky | [
"No.",
"Player",
"Position",
"Career",
"Date No. Retired"
] | what players retired? | [
[
"1",
"Eddie Giacomin",
"G",
"1965-76",
"March 15, 1989"
],
[
"2",
"Brian Leetch",
"D",
"1987-2004",
"January 24, 2008"
],
[
"3",
"Harry Howell",
"D",
"1952-69",
"February 22, 2009"
],
[
"7",
"Rod Gilbert",
"RW",
"1960-78",
... | [
"1",
"Eddie Giacomin",
"Brian Leetch",
"Harry Howell",
"Rod Gilbert",
"Andy Bathgate",
"Adam Graves",
"Mark Messier",
"Mike Richter",
"Wayne Gretzky"
] | what players retired? || |
nt-325 | col : no. | player | position | career | date no. retired row 1 : 1 | eddie giacomin | g | 1965-76 | march 15, 1989 row 2 : 2 | brian leetch | d | 1987-2004 | january 24, 2008 row 3 : 3 | harry howell | d | 1952-69 | february 22, 2009 row 4 : 7 | rod gilbert | rw | 1960-78 | october 14, 1979 row 5 : 9 1 | andy bathgate... | table_csv/203_754.csv | 1 | {
"column_index": [
1
],
"row_index": [
8
]
} | [
"what players retired?",
"out of the following, which one had their jersey retired by nfl for all teams?"
] | 0 | wayne gretzky | [
"No.",
"Player",
"Position",
"Career",
"Date No. Retired"
] | out of the following, which one had their jersey retired by nfl for all teams? | [
[
"1",
"Eddie Giacomin",
"G",
"1965-76",
"March 15, 1989"
],
[
"2",
"Brian Leetch",
"D",
"1987-2004",
"January 24, 2008"
],
[
"3",
"Harry Howell",
"D",
"1952-69",
"February 22, 2009"
],
[
"7",
"Rod Gilbert",
"RW",
"1960-78",
... | [
"Wayne Gretzky"
] | out of the following, which one had their jersey retired by nfl for all teams? || what players retired? |
nt-325 | col : no. | player | position | career | date no. retired row 1 : 1 | eddie giacomin | g | 1965-76 | march 15, 1989 row 2 : 2 | brian leetch | d | 1987-2004 | january 24, 2008 row 3 : 3 | harry howell | d | 1952-69 | february 22, 2009 row 4 : 7 | rod gilbert | rw | 1960-78 | october 14, 1979 row 5 : 9 1 | andy bathgate... | table_csv/203_754.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8
]
} | [
"how many new york rangers nhl players have had their number retired?"
] | 1 | 1, 2, 3, 7, 9 1, 9 1, 11, 35, 99 2 | [
"No.",
"Player",
"Position",
"Career",
"Date No. Retired"
] | how many new york rangers nhl players have had their number retired? | [
[
"1",
"Eddie Giacomin",
"G",
"1965-76",
"March 15, 1989"
],
[
"2",
"Brian Leetch",
"D",
"1987-2004",
"January 24, 2008"
],
[
"3",
"Harry Howell",
"D",
"1952-69",
"February 22, 2009"
],
[
"7",
"Rod Gilbert",
"RW",
"1960-78",
... | [
"1",
"2",
"3",
"7",
"9 1",
"9 1",
"11",
"35",
"99 2"
] | how many new york rangers nhl players have had their number retired? || |
nt-325 | col : no. | player | position | career | date no. retired row 1 : 1 | eddie giacomin | g | 1965-76 | march 15, 1989 row 2 : 2 | brian leetch | d | 1987-2004 | january 24, 2008 row 3 : 3 | harry howell | d | 1952-69 | february 22, 2009 row 4 : 7 | rod gilbert | rw | 1960-78 | october 14, 1979 row 5 : 9 1 | andy bathgate... | table_csv/203_754.csv | 1 | {
"column_index": [
1
],
"row_index": [
8
]
} | [
"how many new york rangers nhl players have had their number retired?",
"out the 9 that had their number retired who is the only player to have the number retired for all teams?"
] | 1 | wayne gretzky | [
"No.",
"Player",
"Position",
"Career",
"Date No. Retired"
] | out the 9 that had their number retired who is the only player to have the number retired for all teams? | [
[
"1",
"Eddie Giacomin",
"G",
"1965-76",
"March 15, 1989"
],
[
"2",
"Brian Leetch",
"D",
"1987-2004",
"January 24, 2008"
],
[
"3",
"Harry Howell",
"D",
"1952-69",
"February 22, 2009"
],
[
"7",
"Rod Gilbert",
"RW",
"1960-78",
... | [
"Wayne Gretzky"
] | out the 9 that had their number retired who is the only player to have the number retired for all teams? || how many new york rangers nhl players have had their number retired? |
nt-325 | col : no. | player | position | career | date no. retired row 1 : 1 | eddie giacomin | g | 1965-76 | march 15, 1989 row 2 : 2 | brian leetch | d | 1987-2004 | january 24, 2008 row 3 : 3 | harry howell | d | 1952-69 | february 22, 2009 row 4 : 7 | rod gilbert | rw | 1960-78 | october 14, 1979 row 5 : 9 1 | andy bathgate... | table_csv/203_754.csv | 0 | {
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8
]
} | [
"who are all of the players?"
] | 2 | eddie giacomin, brian leetch, harry howell, rod gilbert, andy bathgate, adam graves, mark messier, mike richter, wayne gretzky | [
"No.",
"Player",
"Position",
"Career",
"Date No. Retired"
] | who are all of the players? | [
[
"1",
"Eddie Giacomin",
"G",
"1965-76",
"March 15, 1989"
],
[
"2",
"Brian Leetch",
"D",
"1987-2004",
"January 24, 2008"
],
[
"3",
"Harry Howell",
"D",
"1952-69",
"February 22, 2009"
],
[
"7",
"Rod Gilbert",
"RW",
"1960-78",
... | [
"Eddie Giacomin",
"Brian Leetch",
"Harry Howell",
"Rod Gilbert",
"Andy Bathgate",
"Adam Graves",
"Mark Messier",
"Mike Richter",
"Wayne Gretzky"
] | who are all of the players? || |
nt-325 | col : no. | player | position | career | date no. retired row 1 : 1 | eddie giacomin | g | 1965-76 | march 15, 1989 row 2 : 2 | brian leetch | d | 1987-2004 | january 24, 2008 row 3 : 3 | harry howell | d | 1952-69 | february 22, 2009 row 4 : 7 | rod gilbert | rw | 1960-78 | october 14, 1979 row 5 : 9 1 | andy bathgate... | table_csv/203_754.csv | 1 | {
"column_index": [
1
],
"row_index": [
8
]
} | [
"who are all of the players?",
"of these, whose number was retired for all teams?"
] | 2 | wayne gretzky | [
"No.",
"Player",
"Position",
"Career",
"Date No. Retired"
] | of these, whose number was retired for all teams? | [
[
"1",
"Eddie Giacomin",
"G",
"1965-76",
"March 15, 1989"
],
[
"2",
"Brian Leetch",
"D",
"1987-2004",
"January 24, 2008"
],
[
"3",
"Harry Howell",
"D",
"1952-69",
"February 22, 2009"
],
[
"7",
"Rod Gilbert",
"RW",
"1960-78",
... | [
"Wayne Gretzky"
] | of these, whose number was retired for all teams? || who are all of the players? |
nt-452 | col : # | title | performer(s) | film | length row 1 : 1 | a dream is a wish your heart makes | disney channel stars | cinderella | 3:46 row 2 : 2 | zip-a-dee-doo-dah | miley cyrus | song of the south | 3:06 row 3 : 3 | if i never knew you | the cheetah girls | pocahontas | 3:16 row 4 : 4 | who's afraid of the big bad ... | table_csv/204_573.csv | 0 | {
"column_index": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16
]
} | [
"what films are there?"
] | 0 | cinderella, song of the south, pocahontas, three little pigs, mulan, return to never land, brother bear, pete's dragon, tarzan, pirates of the caribbean, snow white and the seven dwarfs, lilo & stitch, the lion king, mary poppins, the monkey's uncle, 101 dalmatians, hercules | [
"#",
"Title",
"Performer(s)",
"Film",
"Length"
] | what films are there? | [
[
"1",
"A Dream Is a Wish Your Heart Makes",
"Disney Channel Stars",
"Cinderella",
"3:46"
],
[
"2",
"Zip-a-Dee-Doo-Dah",
"Miley Cyrus",
"Song of the South",
"3:06"
],
[
"3",
"If I Never Knew You",
"The Cheetah Girls",
"Pocahontas",
"3:16"
],
[
... | [
"Cinderella",
"Song of the South",
"Pocahontas",
"Three Little Pigs",
"Mulan",
"Return to Never Land",
"Brother Bear",
"Pete's Dragon",
"Tarzan",
"Pirates of the Caribbean",
"Snow White and the Seven Dwarfs",
"Lilo & Stitch",
"The Lion King",
"Mary Poppins",
"The Monkey's Uncle",
"101 ... | what films are there? || |
nt-452 | col : # | title | performer(s) | film | length row 1 : 1 | a dream is a wish your heart makes | disney channel stars | cinderella | 3:46 row 2 : 2 | zip-a-dee-doo-dah | miley cyrus | song of the south | 3:06 row 3 : 3 | if i never knew you | the cheetah girls | pocahontas | 3:16 row 4 : 4 | who's afraid of the big bad ... | table_csv/204_573.csv | 1 | {
"column_index": [
1
],
"row_index": [
12
]
} | [
"what films are there?",
"for lion king what is title of its song?"
] | 0 | can you feel the love tonight | [
"#",
"Title",
"Performer(s)",
"Film",
"Length"
] | for lion king what is title of its song? | [
[
"1",
"A Dream Is a Wish Your Heart Makes",
"Disney Channel Stars",
"Cinderella",
"3:46"
],
[
"2",
"Zip-a-Dee-Doo-Dah",
"Miley Cyrus",
"Song of the South",
"3:06"
],
[
"3",
"If I Never Knew You",
"The Cheetah Girls",
"Pocahontas",
"3:16"
],
[
... | [
"Can You Feel the Love Tonight"
] | for lion king what is title of its song? || what films are there? |
nt-452 | col : # | title | performer(s) | film | length row 1 : 1 | a dream is a wish your heart makes | disney channel stars | cinderella | 3:46 row 2 : 2 | zip-a-dee-doo-dah | miley cyrus | song of the south | 3:06 row 3 : 3 | if i never knew you | the cheetah girls | pocahontas | 3:16 row 4 : 4 | who's afraid of the big bad ... | table_csv/204_573.csv | 2 | {
"column_index": [
4
],
"row_index": [
12
]
} | [
"what films are there?",
"for lion king what is title of its song?",
"what is the length of the song?"
] | 0 | 3:40 | [
"#",
"Title",
"Performer(s)",
"Film",
"Length"
] | what is the length of the song? | [
[
"1",
"A Dream Is a Wish Your Heart Makes",
"Disney Channel Stars",
"Cinderella",
"3:46"
],
[
"2",
"Zip-a-Dee-Doo-Dah",
"Miley Cyrus",
"Song of the South",
"3:06"
],
[
"3",
"If I Never Knew You",
"The Cheetah Girls",
"Pocahontas",
"3:16"
],
[
... | [
"3:40"
] | what is the length of the song? || for lion king what is title of its song? | what films are there? |
nt-452 | col : # | title | performer(s) | film | length row 1 : 1 | a dream is a wish your heart makes | disney channel stars | cinderella | 3:46 row 2 : 2 | zip-a-dee-doo-dah | miley cyrus | song of the south | 3:06 row 3 : 3 | if i never knew you | the cheetah girls | pocahontas | 3:16 row 4 : 4 | who's afraid of the big bad ... | table_csv/204_573.csv | 0 | {
"column_index": [
1
],
"row_index": [
12
]
} | [
"what is the title of the song from the lion king listed on this table?"
] | 1 | can you feel the love tonight | [
"#",
"Title",
"Performer(s)",
"Film",
"Length"
] | what is the title of the song from the lion king listed on this table? | [
[
"1",
"A Dream Is a Wish Your Heart Makes",
"Disney Channel Stars",
"Cinderella",
"3:46"
],
[
"2",
"Zip-a-Dee-Doo-Dah",
"Miley Cyrus",
"Song of the South",
"3:06"
],
[
"3",
"If I Never Knew You",
"The Cheetah Girls",
"Pocahontas",
"3:16"
],
[
... | [
"Can You Feel the Love Tonight"
] | what is the title of the song from the lion king listed on this table? || |
nt-452 | col : # | title | performer(s) | film | length row 1 : 1 | a dream is a wish your heart makes | disney channel stars | cinderella | 3:46 row 2 : 2 | zip-a-dee-doo-dah | miley cyrus | song of the south | 3:06 row 3 : 3 | if i never knew you | the cheetah girls | pocahontas | 3:16 row 4 : 4 | who's afraid of the big bad ... | table_csv/204_573.csv | 1 | {
"column_index": [
4
],
"row_index": [
12
]
} | [
"what is the title of the song from the lion king listed on this table?",
"what is the length of this song?"
] | 1 | 3:40 | [
"#",
"Title",
"Performer(s)",
"Film",
"Length"
] | what is the length of this song? | [
[
"1",
"A Dream Is a Wish Your Heart Makes",
"Disney Channel Stars",
"Cinderella",
"3:46"
],
[
"2",
"Zip-a-Dee-Doo-Dah",
"Miley Cyrus",
"Song of the South",
"3:06"
],
[
"3",
"If I Never Knew You",
"The Cheetah Girls",
"Pocahontas",
"3:16"
],
[
... | [
"3:40"
] | what is the length of this song? || what is the title of the song from the lion king listed on this table? |
nt-452 | col : # | title | performer(s) | film | length row 1 : 1 | a dream is a wish your heart makes | disney channel stars | cinderella | 3:46 row 2 : 2 | zip-a-dee-doo-dah | miley cyrus | song of the south | 3:06 row 3 : 3 | if i never knew you | the cheetah girls | pocahontas | 3:16 row 4 : 4 | who's afraid of the big bad ... | table_csv/204_573.csv | 0 | {
"column_index": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16
]
} | [
"what are all the film titles?"
] | 2 | cinderella, song of the south, pocahontas, three little pigs, mulan, return to never land, brother bear, pete's dragon, tarzan, pirates of the caribbean, snow white and the seven dwarfs, lilo & stitch, the lion king, mary poppins, the monkey's uncle, 101 dalmatians, hercules | [
"#",
"Title",
"Performer(s)",
"Film",
"Length"
] | what are all the film titles? | [
[
"1",
"A Dream Is a Wish Your Heart Makes",
"Disney Channel Stars",
"Cinderella",
"3:46"
],
[
"2",
"Zip-a-Dee-Doo-Dah",
"Miley Cyrus",
"Song of the South",
"3:06"
],
[
"3",
"If I Never Knew You",
"The Cheetah Girls",
"Pocahontas",
"3:16"
],
[
... | [
"Cinderella",
"Song of the South",
"Pocahontas",
"Three Little Pigs",
"Mulan",
"Return to Never Land",
"Brother Bear",
"Pete's Dragon",
"Tarzan",
"Pirates of the Caribbean",
"Snow White and the Seven Dwarfs",
"Lilo & Stitch",
"The Lion King",
"Mary Poppins",
"The Monkey's Uncle",
"101 ... | what are all the film titles? || |
nt-452 | col : # | title | performer(s) | film | length row 1 : 1 | a dream is a wish your heart makes | disney channel stars | cinderella | 3:46 row 2 : 2 | zip-a-dee-doo-dah | miley cyrus | song of the south | 3:06 row 3 : 3 | if i never knew you | the cheetah girls | pocahontas | 3:16 row 4 : 4 | who's afraid of the big bad ... | table_csv/204_573.csv | 1 | {
"column_index": [
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16
]
} | [
"what are all the film titles?",
"how long were the songs?"
] | 2 | 3:46, 3:06, 3:16, 3:32, 3:15, 3:51, 3:11, 3:08, 4:15, 2:04, 3:31, 3:30, 3:40, 3:32, 2:24, 2:55, 4:10 | [
"#",
"Title",
"Performer(s)",
"Film",
"Length"
] | how long were the songs? | [
[
"1",
"A Dream Is a Wish Your Heart Makes",
"Disney Channel Stars",
"Cinderella",
"3:46"
],
[
"2",
"Zip-a-Dee-Doo-Dah",
"Miley Cyrus",
"Song of the South",
"3:06"
],
[
"3",
"If I Never Knew You",
"The Cheetah Girls",
"Pocahontas",
"3:16"
],
[
... | [
"3:46",
"3:06",
"3:16",
"3:32",
"3:15",
"3:51",
"3:11",
"3:08",
"4:15",
"2:04",
"3:31",
"3:30",
"3:40",
"3:32",
"2:24",
"2:55",
"4:10"
] | how long were the songs? || what are all the film titles? |
nt-452 | col : # | title | performer(s) | film | length row 1 : 1 | a dream is a wish your heart makes | disney channel stars | cinderella | 3:46 row 2 : 2 | zip-a-dee-doo-dah | miley cyrus | song of the south | 3:06 row 3 : 3 | if i never knew you | the cheetah girls | pocahontas | 3:16 row 4 : 4 | who's afraid of the big bad ... | table_csv/204_573.csv | 2 | {
"column_index": [
4
],
"row_index": [
12
]
} | [
"what are all the film titles?",
"how long were the songs?",
"what about just the lion king's song?"
] | 2 | 3:40 | [
"#",
"Title",
"Performer(s)",
"Film",
"Length"
] | what about just the lion king's song? | [
[
"1",
"A Dream Is a Wish Your Heart Makes",
"Disney Channel Stars",
"Cinderella",
"3:46"
],
[
"2",
"Zip-a-Dee-Doo-Dah",
"Miley Cyrus",
"Song of the South",
"3:06"
],
[
"3",
"If I Never Knew You",
"The Cheetah Girls",
"Pocahontas",
"3:16"
],
[
... | [
"3:40"
] | what about just the lion king's song? || how long were the songs? | what are all the film titles? |
nt-10554 | col : date | time | opponent | site | tv | result | attendance row 1 : september 5 | 2:30 p.m. | jackson state* | davis wade stadium * starkville, ms | espnu | w 45-7 | 54,232 row 2 : september 12 | 6:00 p.m. | at auburn | jordan-hare stadium * auburn, al | secrn | l 24-49 | 85,269 row 3 : september 19 | 6:00 p.m. | at... | table_csv/203_598.csv | 0 | {
"column_index": [
6,
6,
6,
6,
6,
6,
6,
6,
6,
6,
6,
6
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11
]
} | [
"what numbers are in the attendance column?"
] | 0 | 54,232, 85,269, 31,840, 53,612, 50,035, 48,019, w 27-6, 57,178, 67,953, 58,103, 55,634, 55,365 | [
"Date",
"Time",
"Opponent",
"Site",
"TV",
"Result",
"Attendance"
] | what numbers are in the attendance column? | [
[
"September 5",
"2:30 p.m.",
"Jackson State*",
"Davis Wade Stadium * Starkville, MS",
"ESPNU",
"W 45-7",
"54,232"
],
[
"September 12",
"6:00 p.m.",
"at Auburn",
"Jordan-Hare Stadium * Auburn, AL",
"SECRN",
"L 24-49",
"85,269"
],
[
"September 19",
... | [
"54,232",
"85,269",
"31,840",
"53,612",
"50,035",
"48,019",
"W 27-6",
"57,178",
"67,953",
"58,103",
"55,634",
"55,365"
] | what numbers are in the attendance column? || |
nt-10554 | col : date | time | opponent | site | tv | result | attendance row 1 : september 5 | 2:30 p.m. | jackson state* | davis wade stadium * starkville, ms | espnu | w 45-7 | 54,232 row 2 : september 12 | 6:00 p.m. | at auburn | jordan-hare stadium * auburn, al | secrn | l 24-49 | 85,269 row 3 : september 19 | 6:00 p.m. | at... | table_csv/203_598.csv | 1 | {
"column_index": [
0,
1,
2,
3,
4,
5,
6
],
"row_index": [
2,
2,
2,
2,
2,
2,
2
]
} | [
"what numbers are in the attendance column?",
"on which row does the number 31,840 appear in the attendance column?"
] | 0 | september 19, 6:00 p.m., at vanderbilt, vanderbilt stadium * nashville, tn, secrn, w 15-3, 31,840 | [
"Date",
"Time",
"Opponent",
"Site",
"TV",
"Result",
"Attendance"
] | on which row does the number 31,840 appear in the attendance column? | [
[
"September 5",
"2:30 p.m.",
"Jackson State*",
"Davis Wade Stadium * Starkville, MS",
"ESPNU",
"W 45-7",
"54,232"
],
[
"September 12",
"6:00 p.m.",
"at Auburn",
"Jordan-Hare Stadium * Auburn, AL",
"SECRN",
"L 24-49",
"85,269"
],
[
"September 19",
... | [
"September 19",
"6:00 p.m.",
"at Vanderbilt",
"Vanderbilt Stadium * Nashville, TN",
"SECRN",
"W 15-3",
"31,840"
] | on which row does the number 31,840 appear in the attendance column? || what numbers are in the attendance column? |
nt-10554 | col : date | time | opponent | site | tv | result | attendance row 1 : september 5 | 2:30 p.m. | jackson state* | davis wade stadium * starkville, ms | espnu | w 45-7 | 54,232 row 2 : september 12 | 6:00 p.m. | at auburn | jordan-hare stadium * auburn, al | secrn | l 24-49 | 85,269 row 3 : september 19 | 6:00 p.m. | at... | table_csv/203_598.csv | 2 | {
"column_index": [
0
],
"row_index": [
2
]
} | [
"what numbers are in the attendance column?",
"on which row does the number 31,840 appear in the attendance column?",
"what is the date in the date column of this row?"
] | 0 | september 19 | [
"Date",
"Time",
"Opponent",
"Site",
"TV",
"Result",
"Attendance"
] | what is the date in the date column of this row? | [
[
"September 5",
"2:30 p.m.",
"Jackson State*",
"Davis Wade Stadium * Starkville, MS",
"ESPNU",
"W 45-7",
"54,232"
],
[
"September 12",
"6:00 p.m.",
"at Auburn",
"Jordan-Hare Stadium * Auburn, AL",
"SECRN",
"L 24-49",
"85,269"
],
[
"September 19",
... | [
"September 19"
] | what is the date in the date column of this row? || on which row does the number 31,840 appear in the attendance column? | what numbers are in the attendance column? |
nt-10554 | col : date | time | opponent | site | tv | result | attendance row 1 : september 5 | 2:30 p.m. | jackson state* | davis wade stadium * starkville, ms | espnu | w 45-7 | 54,232 row 2 : september 12 | 6:00 p.m. | at auburn | jordan-hare stadium * auburn, al | secrn | l 24-49 | 85,269 row 3 : september 19 | 6:00 p.m. | at... | table_csv/203_598.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11
]
} | [
"what are all the dates for the games?"
] | 1 | september 5, september 12, september 19, september 26, october 3, october 10, october 17, october 24, october 31, november 14, november 21, november 28 | [
"Date",
"Time",
"Opponent",
"Site",
"TV",
"Result",
"Attendance"
] | what are all the dates for the games? | [
[
"September 5",
"2:30 p.m.",
"Jackson State*",
"Davis Wade Stadium * Starkville, MS",
"ESPNU",
"W 45-7",
"54,232"
],
[
"September 12",
"6:00 p.m.",
"at Auburn",
"Jordan-Hare Stadium * Auburn, AL",
"SECRN",
"L 24-49",
"85,269"
],
[
"September 19",
... | [
"September 5",
"September 12",
"September 19",
"September 26",
"October 3",
"October 10",
"October 17",
"October 24",
"October 31",
"November 14",
"November 21",
"November 28"
] | what are all the dates for the games? || |
nt-10554 | col : date | time | opponent | site | tv | result | attendance row 1 : september 5 | 2:30 p.m. | jackson state* | davis wade stadium * starkville, ms | espnu | w 45-7 | 54,232 row 2 : september 12 | 6:00 p.m. | at auburn | jordan-hare stadium * auburn, al | secrn | l 24-49 | 85,269 row 3 : september 19 | 6:00 p.m. | at... | table_csv/203_598.csv | 1 | {
"column_index": [
5
],
"row_index": [
2
]
} | [
"what are all the dates for the games?",
"what was the score of the game at vanderbilt?"
] | 1 | w 15-3 | [
"Date",
"Time",
"Opponent",
"Site",
"TV",
"Result",
"Attendance"
] | what was the score of the game at vanderbilt? | [
[
"September 5",
"2:30 p.m.",
"Jackson State*",
"Davis Wade Stadium * Starkville, MS",
"ESPNU",
"W 45-7",
"54,232"
],
[
"September 12",
"6:00 p.m.",
"at Auburn",
"Jordan-Hare Stadium * Auburn, AL",
"SECRN",
"L 24-49",
"85,269"
],
[
"September 19",
... | [
"W 15-3"
] | what was the score of the game at vanderbilt? || what are all the dates for the games? |
nt-10554 | col : date | time | opponent | site | tv | result | attendance row 1 : september 5 | 2:30 p.m. | jackson state* | davis wade stadium * starkville, ms | espnu | w 45-7 | 54,232 row 2 : september 12 | 6:00 p.m. | at auburn | jordan-hare stadium * auburn, al | secrn | l 24-49 | 85,269 row 3 : september 19 | 6:00 p.m. | at... | table_csv/203_598.csv | 2 | {
"column_index": [
6
],
"row_index": [
2
]
} | [
"what are all the dates for the games?",
"what was the score of the game at vanderbilt?",
"what was the attendance?"
] | 1 | 31,840 | [
"Date",
"Time",
"Opponent",
"Site",
"TV",
"Result",
"Attendance"
] | what was the attendance? | [
[
"September 5",
"2:30 p.m.",
"Jackson State*",
"Davis Wade Stadium * Starkville, MS",
"ESPNU",
"W 45-7",
"54,232"
],
[
"September 12",
"6:00 p.m.",
"at Auburn",
"Jordan-Hare Stadium * Auburn, AL",
"SECRN",
"L 24-49",
"85,269"
],
[
"September 19",
... | [
"31,840"
] | what was the attendance? || what was the score of the game at vanderbilt? | what are all the dates for the games? |
nt-10554 | col : date | time | opponent | site | tv | result | attendance row 1 : september 5 | 2:30 p.m. | jackson state* | davis wade stadium * starkville, ms | espnu | w 45-7 | 54,232 row 2 : september 12 | 6:00 p.m. | at auburn | jordan-hare stadium * auburn, al | secrn | l 24-49 | 85,269 row 3 : september 19 | 6:00 p.m. | at... | table_csv/203_598.csv | 3 | {
"column_index": [
0
],
"row_index": [
2
]
} | [
"what are all the dates for the games?",
"what was the score of the game at vanderbilt?",
"what was the attendance?",
"when did this game take place?"
] | 1 | september 19 | [
"Date",
"Time",
"Opponent",
"Site",
"TV",
"Result",
"Attendance"
] | when did this game take place? | [
[
"September 5",
"2:30 p.m.",
"Jackson State*",
"Davis Wade Stadium * Starkville, MS",
"ESPNU",
"W 45-7",
"54,232"
],
[
"September 12",
"6:00 p.m.",
"at Auburn",
"Jordan-Hare Stadium * Auburn, AL",
"SECRN",
"L 24-49",
"85,269"
],
[
"September 19",
... | [
"September 19"
] | when did this game take place? || what was the attendance? | what was the score of the game at vanderbilt? | what are all the dates for the games? |
nt-10554 | col : date | time | opponent | site | tv | result | attendance row 1 : september 5 | 2:30 p.m. | jackson state* | davis wade stadium * starkville, ms | espnu | w 45-7 | 54,232 row 2 : september 12 | 6:00 p.m. | at auburn | jordan-hare stadium * auburn, al | secrn | l 24-49 | 85,269 row 3 : september 19 | 6:00 p.m. | at... | table_csv/203_598.csv | 0 | {
"column_index": [
0,
6,
0,
6,
0,
6,
0,
6,
0,
6,
0,
6,
0,
6,
0,
6,
0,
6,
0,
6,
0,
6,
0,
6
],
"row_index": [
0,
0,
1,
1,
2,
2,
3,
3,
4,
4,
5,
5,
6,
6,
7,
... | [
"which games dates were there?"
] | 2 | september 5, 54,232, september 12, 85,269, september 19, 31,840, september 26, 53,612, october 3, 50,035, october 10, 48,019, october 17, w 27-6, october 24, 57,178, october 31, 67,953, november 14, 58,103, november 21, 55,634, november 28, 55,365 | [
"Date",
"Time",
"Opponent",
"Site",
"TV",
"Result",
"Attendance"
] | which games dates were there? | [
[
"September 5",
"2:30 p.m.",
"Jackson State*",
"Davis Wade Stadium * Starkville, MS",
"ESPNU",
"W 45-7",
"54,232"
],
[
"September 12",
"6:00 p.m.",
"at Auburn",
"Jordan-Hare Stadium * Auburn, AL",
"SECRN",
"L 24-49",
"85,269"
],
[
"September 19",
... | [
"September 5",
"54,232",
"September 12",
"85,269",
"September 19",
"31,840",
"September 26",
"53,612",
"October 3",
"50,035",
"October 10",
"48,019",
"October 17",
"W 27-6",
"October 24",
"57,178",
"October 31",
"67,953",
"November 14",
"58,103",
"November 21",
"55,634",
... | which games dates were there? || |
nt-10554 | col : date | time | opponent | site | tv | result | attendance row 1 : september 5 | 2:30 p.m. | jackson state* | davis wade stadium * starkville, ms | espnu | w 45-7 | 54,232 row 2 : september 12 | 6:00 p.m. | at auburn | jordan-hare stadium * auburn, al | secrn | l 24-49 | 85,269 row 3 : september 19 | 6:00 p.m. | at... | table_csv/203_598.csv | 1 | {
"column_index": [
0,
6
],
"row_index": [
2,
2
]
} | [
"which games dates were there?",
"which game had 31 840 in attendance?"
] | 2 | september 19, 31,840 | [
"Date",
"Time",
"Opponent",
"Site",
"TV",
"Result",
"Attendance"
] | which game had 31 840 in attendance? | [
[
"September 5",
"2:30 p.m.",
"Jackson State*",
"Davis Wade Stadium * Starkville, MS",
"ESPNU",
"W 45-7",
"54,232"
],
[
"September 12",
"6:00 p.m.",
"at Auburn",
"Jordan-Hare Stadium * Auburn, AL",
"SECRN",
"L 24-49",
"85,269"
],
[
"September 19",
... | [
"September 19",
"31,840"
] | which game had 31 840 in attendance? || which games dates were there? |
nt-10554 | col : date | time | opponent | site | tv | result | attendance row 1 : september 5 | 2:30 p.m. | jackson state* | davis wade stadium * starkville, ms | espnu | w 45-7 | 54,232 row 2 : september 12 | 6:00 p.m. | at auburn | jordan-hare stadium * auburn, al | secrn | l 24-49 | 85,269 row 3 : september 19 | 6:00 p.m. | at... | table_csv/203_598.csv | 2 | {
"column_index": [
0
],
"row_index": [
2
]
} | [
"which games dates were there?",
"which game had 31 840 in attendance?",
"which date was it?"
] | 2 | september 19 | [
"Date",
"Time",
"Opponent",
"Site",
"TV",
"Result",
"Attendance"
] | which date was it? | [
[
"September 5",
"2:30 p.m.",
"Jackson State*",
"Davis Wade Stadium * Starkville, MS",
"ESPNU",
"W 45-7",
"54,232"
],
[
"September 12",
"6:00 p.m.",
"at Auburn",
"Jordan-Hare Stadium * Auburn, AL",
"SECRN",
"L 24-49",
"85,269"
],
[
"September 19",
... | [
"September 19"
] | which date was it? || which game had 31 840 in attendance? | which games dates were there? |
nt-10792 | col : team | location | home ground | first year in qld cup | last year in qld cup | qld cup premierships row 1 : aspley broncos | brisbane | bishop park | 2007 | 2007 | nil row 2 : brothers-valleys | brisbane | o'callaghan park | 2004 | 2004 | nil row 3 : bundaberg grizzlies | bundaberg | salter oval | 1996 | 1998 | n... | table_csv/204_661.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15
]
} | [
"what are the names of all the teams?"
] | 0 | aspley broncos, brothers-valleys, bundaberg grizzlies, cairns cyclones, central capras, gold coast vikings, logan scorpions, mackay sea eagles, north queensland young guns, past brothers, port moresby vipers, souths magpies, sunshine coast falcons, townsville stingers, toowoomba clydesdales, wests panthers | [
"Team",
"Location",
"Home Ground",
"First year in Qld Cup",
"Last year in Qld Cup",
"Qld Cup Premierships"
] | what are the names of all the teams? | [
[
"Aspley Broncos",
"Brisbane",
"Bishop Park",
"2007",
"2007",
"Nil"
],
[
"Brothers-Valleys",
"Brisbane",
"O'Callaghan Park",
"2004",
"2004",
"Nil"
],
[
"Bundaberg Grizzlies",
"Bundaberg",
"Salter Oval",
"1996",
"1998",
"Nil"
],
[
... | [
"Aspley Broncos",
"Brothers-Valleys",
"Bundaberg Grizzlies",
"Cairns Cyclones",
"Central Capras",
"Gold Coast Vikings",
"Logan Scorpions",
"Mackay Sea Eagles",
"North Queensland Young Guns",
"Past Brothers",
"Port Moresby Vipers",
"Souths Magpies",
"Sunshine Coast Falcons",
"Townsville Sti... | what are the names of all the teams? || |
nt-10792 | col : team | location | home ground | first year in qld cup | last year in qld cup | qld cup premierships row 1 : aspley broncos | brisbane | bishop park | 2007 | 2007 | nil row 2 : brothers-valleys | brisbane | o'callaghan park | 2004 | 2004 | nil row 3 : bundaberg grizzlies | bundaberg | salter oval | 1996 | 1998 | n... | table_csv/204_661.csv | 1 | {
"column_index": [
0,
0
],
"row_index": [
8,
14
]
} | [
"what are the names of all the teams?",
"which teams won at least 1 qld cup premiership?"
] | 0 | north queensland young guns, toowoomba clydesdales | [
"Team",
"Location",
"Home Ground",
"First year in Qld Cup",
"Last year in Qld Cup",
"Qld Cup Premierships"
] | which teams won at least 1 qld cup premiership? | [
[
"Aspley Broncos",
"Brisbane",
"Bishop Park",
"2007",
"2007",
"Nil"
],
[
"Brothers-Valleys",
"Brisbane",
"O'Callaghan Park",
"2004",
"2004",
"Nil"
],
[
"Bundaberg Grizzlies",
"Bundaberg",
"Salter Oval",
"1996",
"1998",
"Nil"
],
[
... | [
"North Queensland Young Guns",
"Toowoomba Clydesdales"
] | which teams won at least 1 qld cup premiership? || what are the names of all the teams? |
nt-10792 | col : team | location | home ground | first year in qld cup | last year in qld cup | qld cup premierships row 1 : aspley broncos | brisbane | bishop park | 2007 | 2007 | nil row 2 : brothers-valleys | brisbane | o'callaghan park | 2004 | 2004 | nil row 3 : bundaberg grizzlies | bundaberg | salter oval | 1996 | 1998 | n... | table_csv/204_661.csv | 2 | {
"column_index": [
0
],
"row_index": [
8
]
} | [
"what are the names of all the teams?",
"which teams won at least 1 qld cup premiership?",
"of those teams, which won a premiership in 2005?"
] | 0 | north queensland young guns | [
"Team",
"Location",
"Home Ground",
"First year in Qld Cup",
"Last year in Qld Cup",
"Qld Cup Premierships"
] | of those teams, which won a premiership in 2005? | [
[
"Aspley Broncos",
"Brisbane",
"Bishop Park",
"2007",
"2007",
"Nil"
],
[
"Brothers-Valleys",
"Brisbane",
"O'Callaghan Park",
"2004",
"2004",
"Nil"
],
[
"Bundaberg Grizzlies",
"Bundaberg",
"Salter Oval",
"1996",
"1998",
"Nil"
],
[
... | [
"North Queensland Young Guns"
] | of those teams, which won a premiership in 2005? || which teams won at least 1 qld cup premiership? | what are the names of all the teams? |
nt-10792 | col : team | location | home ground | first year in qld cup | last year in qld cup | qld cup premierships row 1 : aspley broncos | brisbane | bishop park | 2007 | 2007 | nil row 2 : brothers-valleys | brisbane | o'callaghan park | 2004 | 2004 | nil row 3 : bundaberg grizzlies | bundaberg | salter oval | 1996 | 1998 | n... | table_csv/204_661.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15
]
} | [
"what are all the teams?"
] | 1 | aspley broncos, brothers-valleys, bundaberg grizzlies, cairns cyclones, central capras, gold coast vikings, logan scorpions, mackay sea eagles, north queensland young guns, past brothers, port moresby vipers, souths magpies, sunshine coast falcons, townsville stingers, toowoomba clydesdales, wests panthers | [
"Team",
"Location",
"Home Ground",
"First year in Qld Cup",
"Last year in Qld Cup",
"Qld Cup Premierships"
] | what are all the teams? | [
[
"Aspley Broncos",
"Brisbane",
"Bishop Park",
"2007",
"2007",
"Nil"
],
[
"Brothers-Valleys",
"Brisbane",
"O'Callaghan Park",
"2004",
"2004",
"Nil"
],
[
"Bundaberg Grizzlies",
"Bundaberg",
"Salter Oval",
"1996",
"1998",
"Nil"
],
[
... | [
"Aspley Broncos",
"Brothers-Valleys",
"Bundaberg Grizzlies",
"Cairns Cyclones",
"Central Capras",
"Gold Coast Vikings",
"Logan Scorpions",
"Mackay Sea Eagles",
"North Queensland Young Guns",
"Past Brothers",
"Port Moresby Vipers",
"Souths Magpies",
"Sunshine Coast Falcons",
"Townsville Sti... | what are all the teams? || |
nt-10792 | col : team | location | home ground | first year in qld cup | last year in qld cup | qld cup premierships row 1 : aspley broncos | brisbane | bishop park | 2007 | 2007 | nil row 2 : brothers-valleys | brisbane | o'callaghan park | 2004 | 2004 | nil row 3 : bundaberg grizzlies | bundaberg | salter oval | 1996 | 1998 | n... | table_csv/204_661.csv | 1 | {
"column_index": [
0,
0
],
"row_index": [
8,
14
]
} | [
"what are all the teams?",
"which of these have premierships?"
] | 1 | north queensland young guns, toowoomba clydesdales | [
"Team",
"Location",
"Home Ground",
"First year in Qld Cup",
"Last year in Qld Cup",
"Qld Cup Premierships"
] | which of these have premierships? | [
[
"Aspley Broncos",
"Brisbane",
"Bishop Park",
"2007",
"2007",
"Nil"
],
[
"Brothers-Valleys",
"Brisbane",
"O'Callaghan Park",
"2004",
"2004",
"Nil"
],
[
"Bundaberg Grizzlies",
"Bundaberg",
"Salter Oval",
"1996",
"1998",
"Nil"
],
[
... | [
"North Queensland Young Guns",
"Toowoomba Clydesdales"
] | which of these have premierships? || what are all the teams? |
nt-10792 | col : team | location | home ground | first year in qld cup | last year in qld cup | qld cup premierships row 1 : aspley broncos | brisbane | bishop park | 2007 | 2007 | nil row 2 : brothers-valleys | brisbane | o'callaghan park | 2004 | 2004 | nil row 3 : bundaberg grizzlies | bundaberg | salter oval | 1996 | 1998 | n... | table_csv/204_661.csv | 2 | {
"column_index": [
0
],
"row_index": [
8
]
} | [
"what are all the teams?",
"which of these have premierships?",
"which of these was in 2005?"
] | 1 | north queensland young guns | [
"Team",
"Location",
"Home Ground",
"First year in Qld Cup",
"Last year in Qld Cup",
"Qld Cup Premierships"
] | which of these was in 2005? | [
[
"Aspley Broncos",
"Brisbane",
"Bishop Park",
"2007",
"2007",
"Nil"
],
[
"Brothers-Valleys",
"Brisbane",
"O'Callaghan Park",
"2004",
"2004",
"Nil"
],
[
"Bundaberg Grizzlies",
"Bundaberg",
"Salter Oval",
"1996",
"1998",
"Nil"
],
[
... | [
"North Queensland Young Guns"
] | which of these was in 2005? || which of these have premierships? | what are all the teams? |
nt-10792 | col : team | location | home ground | first year in qld cup | last year in qld cup | qld cup premierships row 1 : aspley broncos | brisbane | bishop park | 2007 | 2007 | nil row 2 : brothers-valleys | brisbane | o'callaghan park | 2004 | 2004 | nil row 3 : bundaberg grizzlies | bundaberg | salter oval | 1996 | 1998 | n... | table_csv/204_661.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15
]
} | [
"which teams have participated in the queensland cup?"
] | 2 | aspley broncos, brothers-valleys, bundaberg grizzlies, cairns cyclones, central capras, gold coast vikings, logan scorpions, mackay sea eagles, north queensland young guns, past brothers, port moresby vipers, souths magpies, sunshine coast falcons, townsville stingers, toowoomba clydesdales, wests panthers | [
"Team",
"Location",
"Home Ground",
"First year in Qld Cup",
"Last year in Qld Cup",
"Qld Cup Premierships"
] | which teams have participated in the queensland cup? | [
[
"Aspley Broncos",
"Brisbane",
"Bishop Park",
"2007",
"2007",
"Nil"
],
[
"Brothers-Valleys",
"Brisbane",
"O'Callaghan Park",
"2004",
"2004",
"Nil"
],
[
"Bundaberg Grizzlies",
"Bundaberg",
"Salter Oval",
"1996",
"1998",
"Nil"
],
[
... | [
"Aspley Broncos",
"Brothers-Valleys",
"Bundaberg Grizzlies",
"Cairns Cyclones",
"Central Capras",
"Gold Coast Vikings",
"Logan Scorpions",
"Mackay Sea Eagles",
"North Queensland Young Guns",
"Past Brothers",
"Port Moresby Vipers",
"Souths Magpies",
"Sunshine Coast Falcons",
"Townsville Sti... | which teams have participated in the queensland cup? || |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.