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nt-5056
|
col : date | opponent | score | result | location | attendance row 1 : december 3, 1948 | butler | 67-62 | win | champaign, il | - row 2 : december 8, 1948 | notre dame | 59-58 | win (ot) | notre dame, in | - row 3 : december 11, 1948 | depaul | 50-60 | loss | chicago, il | 17,189 row 4 : december 13, 1948 | oklahoma | 73-68 | win | champaign, il | 6,902 row 5 : december 18, 1948 | pennsylvania | 80-61 | win | champaign, il | 3,943 row 6 : december 20, 1948 | depaul | 89-51 | win | champaign, il | 6,013 row 7 : december 21, 1948 | cornell | 71-47 | win | champaign, il | 3,042 row 8 : december 29, 1948 | colgate | 77-54 | win | champaign, il | 4,541 row 9 : december 30, 1948 | colgate | 85-55 | win | champaign, il | 3,880 row 10 : january 3, 1949 | wisconsin | 62-50 | win | champaign, il | - row 11 : january 8, 1949 | indiana | 44-42 | win (2ot) | bloomington, in | 10,000 row 12 : january 10, 1949 | ohio state | 64-63 | win | columbus, oh | 6,958 row 13 : january 15, 1949 | creighton | 96-30 | win | champaign, il | 6,958 row 14 : january 29, 1949 | minnesota (ranked #4) | 45-44 | win | champaign, il | 6,905 row 15 : january 31, 1949 | purdue | 53-55 | loss | west lafayette, in | 10,000 row 16 : february 5, 1949 | wisconsin | 61-54 | win | madison, wi | 13,5000 row 17 : february 7, 1949 | northwestern | 85-66 | win | champaign, il | - row 18 : february 12, 1949 | ohio state | 64-49 | win | champaign, il | 6,905 row 19 : february 21, 1949 | iowa | 80-49 | win | champaign, il | - row 20 : february 26, 1949 | northwestern | 81-64 | win | chicago, il | 17,905 row 21 : february 28, 1949 | indiana | 91-28 | win | champaign, il | - row 22 : march 7, 1949 | michigan | 53-70 | loss | ann arbor, mi | -
|
table_csv/204_795.csv
| 2 |
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[
"which dates were the games played on?",
"and was was the attendance during those games?",
"between january 8 and december 11, which game had a higher attendance?"
] | 0 |
december 11, 1948
|
[
"Date",
"Opponent",
"Score",
"Result",
"Location",
"Attendance"
] |
between january 8 and december 11, which game had a higher attendance?
|
[
[
"December 3, 1948",
"Butler",
"67-62",
"Win",
"Champaign, IL",
"-"
],
[
"December 8, 1948",
"Notre Dame",
"59-58",
"Win (OT)",
"Notre Dame, IN",
"-"
],
[
"December 11, 1948",
"DePaul",
"50-60",
"Loss",
"Chicago, IL",
"17,189"
],
[
"December 13, 1948",
"Oklahoma",
"73-68",
"Win",
"Champaign, IL",
"6,902"
],
[
"December 18, 1948",
"Pennsylvania",
"80-61",
"Win",
"Champaign, IL",
"3,943"
],
[
"December 20, 1948",
"DePaul",
"89-51",
"Win",
"Champaign, IL",
"6,013"
],
[
"December 21, 1948",
"Cornell",
"71-47",
"Win",
"Champaign, IL",
"3,042"
],
[
"December 29, 1948",
"Colgate",
"77-54",
"Win",
"Champaign, IL",
"4,541"
],
[
"December 30, 1948",
"Colgate",
"85-55",
"Win",
"Champaign, IL",
"3,880"
],
[
"January 3, 1949",
"Wisconsin",
"62-50",
"Win",
"Champaign, IL",
"-"
],
[
"January 8, 1949",
"Indiana",
"44-42",
"Win (2ot)",
"Bloomington, IN",
"10,000"
],
[
"January 10, 1949",
"Ohio State",
"64-63",
"Win",
"Columbus, OH",
"6,958"
],
[
"January 15, 1949",
"Creighton",
"96-30",
"Win",
"Champaign, IL",
"6,958"
],
[
"January 29, 1949",
"Minnesota (ranked #4)",
"45-44",
"Win",
"Champaign, IL",
"6,905"
],
[
"January 31, 1949",
"Purdue",
"53-55",
"Loss",
"West Lafayette, IN",
"10,000"
],
[
"February 5, 1949",
"Wisconsin",
"61-54",
"Win",
"Madison, WI",
"13,5000"
],
[
"February 7, 1949",
"Northwestern",
"85-66",
"Win",
"Champaign, IL",
"-"
],
[
"February 12, 1949",
"Ohio State",
"64-49",
"Win",
"Champaign, IL",
"6,905"
],
[
"February 21, 1949",
"Iowa",
"80-49",
"Win",
"Champaign, IL",
"-"
],
[
"February 26, 1949",
"Northwestern",
"81-64",
"Win",
"Chicago, IL",
"17,905"
],
[
"February 28, 1949",
"Indiana",
"91-28",
"Win",
"Champaign, IL",
"-"
],
[
"March 7, 1949",
"Michigan",
"53-70",
"Loss",
"Ann Arbor, MI",
"-"
]
] |
[
"December 11, 1948"
] |
between january 8 and december 11, which game had a higher attendance? || and was was the attendance during those games? | which dates were the games played on?
|
nt-5056
|
col : date | opponent | score | result | location | attendance row 1 : december 3, 1948 | butler | 67-62 | win | champaign, il | - row 2 : december 8, 1948 | notre dame | 59-58 | win (ot) | notre dame, in | - row 3 : december 11, 1948 | depaul | 50-60 | loss | chicago, il | 17,189 row 4 : december 13, 1948 | oklahoma | 73-68 | win | champaign, il | 6,902 row 5 : december 18, 1948 | pennsylvania | 80-61 | win | champaign, il | 3,943 row 6 : december 20, 1948 | depaul | 89-51 | win | champaign, il | 6,013 row 7 : december 21, 1948 | cornell | 71-47 | win | champaign, il | 3,042 row 8 : december 29, 1948 | colgate | 77-54 | win | champaign, il | 4,541 row 9 : december 30, 1948 | colgate | 85-55 | win | champaign, il | 3,880 row 10 : january 3, 1949 | wisconsin | 62-50 | win | champaign, il | - row 11 : january 8, 1949 | indiana | 44-42 | win (2ot) | bloomington, in | 10,000 row 12 : january 10, 1949 | ohio state | 64-63 | win | columbus, oh | 6,958 row 13 : january 15, 1949 | creighton | 96-30 | win | champaign, il | 6,958 row 14 : january 29, 1949 | minnesota (ranked #4) | 45-44 | win | champaign, il | 6,905 row 15 : january 31, 1949 | purdue | 53-55 | loss | west lafayette, in | 10,000 row 16 : february 5, 1949 | wisconsin | 61-54 | win | madison, wi | 13,5000 row 17 : february 7, 1949 | northwestern | 85-66 | win | champaign, il | - row 18 : february 12, 1949 | ohio state | 64-49 | win | champaign, il | 6,905 row 19 : february 21, 1949 | iowa | 80-49 | win | champaign, il | - row 20 : february 26, 1949 | northwestern | 81-64 | win | chicago, il | 17,905 row 21 : february 28, 1949 | indiana | 91-28 | win | champaign, il | - row 22 : march 7, 1949 | michigan | 53-70 | loss | ann arbor, mi | -
|
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[
"what were all the games played in the 1948-49 illinois fighting illini men's basketball team's season?"
] | 1 |
december 3, 1948, butler, 67-62, win, champaign, il, -, december 8, 1948, notre dame, 59-58, win (ot), notre dame, in, -, december 11, 1948, depaul, 50-60, loss, chicago, il, 17,189, december 13, 1948, oklahoma, 73-68, win, champaign, il, 6,902, december 18, 1948, pennsylvania, 80-61, win, champaign, il, 3,943, december 20, 1948, depaul, 89-51, win, champaign, il, 6,013, december 21, 1948, cornell, 71-47, win, champaign, il, 3,042, december 29, 1948, colgate, 77-54, win, champaign, il, 4,541, december 30, 1948, colgate, 85-55, win, champaign, il, 3,880, january 3, 1949, wisconsin, 62-50, win, champaign, il, -, january 8, 1949, indiana, 44-42, win (2ot), bloomington, in, 10,000, january 10, 1949, ohio state, 64-63, win, columbus, oh, 6,958, january 15, 1949, creighton, 96-30, win, champaign, il, 6,958, january 29, 1949, minnesota (ranked #4), 45-44, win, champaign, il, 6,905, january 31, 1949, purdue, 53-55, loss, west lafayette, in, 10,000, february 5, 1949, wisconsin, 61-54, win, madison, wi, 13,5000, february 7, 1949, northwestern, 85-66, win, champaign, il, -, february 12, 1949, ohio state, 64-49, win, champaign, il, 6,905, february 21, 1949, iowa, 80-49, win, champaign, il, -, february 26, 1949, northwestern, 81-64, win, chicago, il, 17,905, february 28, 1949, indiana, 91-28, win, champaign, il, -, march 7, 1949, michigan, 53-70, loss, ann arbor, mi, -
|
[
"Date",
"Opponent",
"Score",
"Result",
"Location",
"Attendance"
] |
what were all the games played in the 1948-49 illinois fighting illini men's basketball team's season?
|
[
[
"December 3, 1948",
"Butler",
"67-62",
"Win",
"Champaign, IL",
"-"
],
[
"December 8, 1948",
"Notre Dame",
"59-58",
"Win (OT)",
"Notre Dame, IN",
"-"
],
[
"December 11, 1948",
"DePaul",
"50-60",
"Loss",
"Chicago, IL",
"17,189"
],
[
"December 13, 1948",
"Oklahoma",
"73-68",
"Win",
"Champaign, IL",
"6,902"
],
[
"December 18, 1948",
"Pennsylvania",
"80-61",
"Win",
"Champaign, IL",
"3,943"
],
[
"December 20, 1948",
"DePaul",
"89-51",
"Win",
"Champaign, IL",
"6,013"
],
[
"December 21, 1948",
"Cornell",
"71-47",
"Win",
"Champaign, IL",
"3,042"
],
[
"December 29, 1948",
"Colgate",
"77-54",
"Win",
"Champaign, IL",
"4,541"
],
[
"December 30, 1948",
"Colgate",
"85-55",
"Win",
"Champaign, IL",
"3,880"
],
[
"January 3, 1949",
"Wisconsin",
"62-50",
"Win",
"Champaign, IL",
"-"
],
[
"January 8, 1949",
"Indiana",
"44-42",
"Win (2ot)",
"Bloomington, IN",
"10,000"
],
[
"January 10, 1949",
"Ohio State",
"64-63",
"Win",
"Columbus, OH",
"6,958"
],
[
"January 15, 1949",
"Creighton",
"96-30",
"Win",
"Champaign, IL",
"6,958"
],
[
"January 29, 1949",
"Minnesota (ranked #4)",
"45-44",
"Win",
"Champaign, IL",
"6,905"
],
[
"January 31, 1949",
"Purdue",
"53-55",
"Loss",
"West Lafayette, IN",
"10,000"
],
[
"February 5, 1949",
"Wisconsin",
"61-54",
"Win",
"Madison, WI",
"13,5000"
],
[
"February 7, 1949",
"Northwestern",
"85-66",
"Win",
"Champaign, IL",
"-"
],
[
"February 12, 1949",
"Ohio State",
"64-49",
"Win",
"Champaign, IL",
"6,905"
],
[
"February 21, 1949",
"Iowa",
"80-49",
"Win",
"Champaign, IL",
"-"
],
[
"February 26, 1949",
"Northwestern",
"81-64",
"Win",
"Chicago, IL",
"17,905"
],
[
"February 28, 1949",
"Indiana",
"91-28",
"Win",
"Champaign, IL",
"-"
],
[
"March 7, 1949",
"Michigan",
"53-70",
"Loss",
"Ann Arbor, MI",
"-"
]
] |
[
"December 3, 1948",
"Butler",
"67-62",
"Win",
"Champaign, IL",
"-",
"December 8, 1948",
"Notre Dame",
"59-58",
"Win (OT)",
"Notre Dame, IN",
"-",
"December 11, 1948",
"DePaul",
"50-60",
"Loss",
"Chicago, IL",
"17,189",
"December 13, 1948",
"Oklahoma",
"73-68",
"Win",
"Champaign, IL",
"6,902",
"December 18, 1948",
"Pennsylvania",
"80-61",
"Win",
"Champaign, IL",
"3,943",
"December 20, 1948",
"DePaul",
"89-51",
"Win",
"Champaign, IL",
"6,013",
"December 21, 1948",
"Cornell",
"71-47",
"Win",
"Champaign, IL",
"3,042",
"December 29, 1948",
"Colgate",
"77-54",
"Win",
"Champaign, IL",
"4,541",
"December 30, 1948",
"Colgate",
"85-55",
"Win",
"Champaign, IL",
"3,880",
"January 3, 1949",
"Wisconsin",
"62-50",
"Win",
"Champaign, IL",
"-",
"January 8, 1949",
"Indiana",
"44-42",
"Win (2ot)",
"Bloomington, IN",
"10,000",
"January 10, 1949",
"Ohio State",
"64-63",
"Win",
"Columbus, OH",
"6,958",
"January 15, 1949",
"Creighton",
"96-30",
"Win",
"Champaign, IL",
"6,958",
"January 29, 1949",
"Minnesota (ranked #4)",
"45-44",
"Win",
"Champaign, IL",
"6,905",
"January 31, 1949",
"Purdue",
"53-55",
"Loss",
"West Lafayette, IN",
"10,000",
"February 5, 1949",
"Wisconsin",
"61-54",
"Win",
"Madison, WI",
"13,5000",
"February 7, 1949",
"Northwestern",
"85-66",
"Win",
"Champaign, IL",
"-",
"February 12, 1949",
"Ohio State",
"64-49",
"Win",
"Champaign, IL",
"6,905",
"February 21, 1949",
"Iowa",
"80-49",
"Win",
"Champaign, IL",
"-",
"February 26, 1949",
"Northwestern",
"81-64",
"Win",
"Chicago, IL",
"17,905",
"February 28, 1949",
"Indiana",
"91-28",
"Win",
"Champaign, IL",
"-",
"March 7, 1949",
"Michigan",
"53-70",
"Loss",
"Ann Arbor, MI",
"-"
] |
what were all the games played in the 1948-49 illinois fighting illini men's basketball team's season? ||
|
nt-5056
|
col : date | opponent | score | result | location | attendance row 1 : december 3, 1948 | butler | 67-62 | win | champaign, il | - row 2 : december 8, 1948 | notre dame | 59-58 | win (ot) | notre dame, in | - row 3 : december 11, 1948 | depaul | 50-60 | loss | chicago, il | 17,189 row 4 : december 13, 1948 | oklahoma | 73-68 | win | champaign, il | 6,902 row 5 : december 18, 1948 | pennsylvania | 80-61 | win | champaign, il | 3,943 row 6 : december 20, 1948 | depaul | 89-51 | win | champaign, il | 6,013 row 7 : december 21, 1948 | cornell | 71-47 | win | champaign, il | 3,042 row 8 : december 29, 1948 | colgate | 77-54 | win | champaign, il | 4,541 row 9 : december 30, 1948 | colgate | 85-55 | win | champaign, il | 3,880 row 10 : january 3, 1949 | wisconsin | 62-50 | win | champaign, il | - row 11 : january 8, 1949 | indiana | 44-42 | win (2ot) | bloomington, in | 10,000 row 12 : january 10, 1949 | ohio state | 64-63 | win | columbus, oh | 6,958 row 13 : january 15, 1949 | creighton | 96-30 | win | champaign, il | 6,958 row 14 : january 29, 1949 | minnesota (ranked #4) | 45-44 | win | champaign, il | 6,905 row 15 : january 31, 1949 | purdue | 53-55 | loss | west lafayette, in | 10,000 row 16 : february 5, 1949 | wisconsin | 61-54 | win | madison, wi | 13,5000 row 17 : february 7, 1949 | northwestern | 85-66 | win | champaign, il | - row 18 : february 12, 1949 | ohio state | 64-49 | win | champaign, il | 6,905 row 19 : february 21, 1949 | iowa | 80-49 | win | champaign, il | - row 20 : february 26, 1949 | northwestern | 81-64 | win | chicago, il | 17,905 row 21 : february 28, 1949 | indiana | 91-28 | win | champaign, il | - row 22 : march 7, 1949 | michigan | 53-70 | loss | ann arbor, mi | -
|
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[
"what were all the games played in the 1948-49 illinois fighting illini men's basketball team's season?",
"of those, which took place on january 8, 1949 or december 11, 1948?"
] | 1 |
december 11, 1948, depaul, 50-60, loss, chicago, il, 17,189, january 8, 1949, indiana, 44-42, win (2ot), bloomington, in, 10,000
|
[
"Date",
"Opponent",
"Score",
"Result",
"Location",
"Attendance"
] |
of those, which took place on january 8, 1949 or december 11, 1948?
|
[
[
"December 3, 1948",
"Butler",
"67-62",
"Win",
"Champaign, IL",
"-"
],
[
"December 8, 1948",
"Notre Dame",
"59-58",
"Win (OT)",
"Notre Dame, IN",
"-"
],
[
"December 11, 1948",
"DePaul",
"50-60",
"Loss",
"Chicago, IL",
"17,189"
],
[
"December 13, 1948",
"Oklahoma",
"73-68",
"Win",
"Champaign, IL",
"6,902"
],
[
"December 18, 1948",
"Pennsylvania",
"80-61",
"Win",
"Champaign, IL",
"3,943"
],
[
"December 20, 1948",
"DePaul",
"89-51",
"Win",
"Champaign, IL",
"6,013"
],
[
"December 21, 1948",
"Cornell",
"71-47",
"Win",
"Champaign, IL",
"3,042"
],
[
"December 29, 1948",
"Colgate",
"77-54",
"Win",
"Champaign, IL",
"4,541"
],
[
"December 30, 1948",
"Colgate",
"85-55",
"Win",
"Champaign, IL",
"3,880"
],
[
"January 3, 1949",
"Wisconsin",
"62-50",
"Win",
"Champaign, IL",
"-"
],
[
"January 8, 1949",
"Indiana",
"44-42",
"Win (2ot)",
"Bloomington, IN",
"10,000"
],
[
"January 10, 1949",
"Ohio State",
"64-63",
"Win",
"Columbus, OH",
"6,958"
],
[
"January 15, 1949",
"Creighton",
"96-30",
"Win",
"Champaign, IL",
"6,958"
],
[
"January 29, 1949",
"Minnesota (ranked #4)",
"45-44",
"Win",
"Champaign, IL",
"6,905"
],
[
"January 31, 1949",
"Purdue",
"53-55",
"Loss",
"West Lafayette, IN",
"10,000"
],
[
"February 5, 1949",
"Wisconsin",
"61-54",
"Win",
"Madison, WI",
"13,5000"
],
[
"February 7, 1949",
"Northwestern",
"85-66",
"Win",
"Champaign, IL",
"-"
],
[
"February 12, 1949",
"Ohio State",
"64-49",
"Win",
"Champaign, IL",
"6,905"
],
[
"February 21, 1949",
"Iowa",
"80-49",
"Win",
"Champaign, IL",
"-"
],
[
"February 26, 1949",
"Northwestern",
"81-64",
"Win",
"Chicago, IL",
"17,905"
],
[
"February 28, 1949",
"Indiana",
"91-28",
"Win",
"Champaign, IL",
"-"
],
[
"March 7, 1949",
"Michigan",
"53-70",
"Loss",
"Ann Arbor, MI",
"-"
]
] |
[
"December 11, 1948",
"DePaul",
"50-60",
"Loss",
"Chicago, IL",
"17,189",
"January 8, 1949",
"Indiana",
"44-42",
"Win (2ot)",
"Bloomington, IN",
"10,000"
] |
of those, which took place on january 8, 1949 or december 11, 1948? || what were all the games played in the 1948-49 illinois fighting illini men's basketball team's season?
|
nt-5056
|
col : date | opponent | score | result | location | attendance row 1 : december 3, 1948 | butler | 67-62 | win | champaign, il | - row 2 : december 8, 1948 | notre dame | 59-58 | win (ot) | notre dame, in | - row 3 : december 11, 1948 | depaul | 50-60 | loss | chicago, il | 17,189 row 4 : december 13, 1948 | oklahoma | 73-68 | win | champaign, il | 6,902 row 5 : december 18, 1948 | pennsylvania | 80-61 | win | champaign, il | 3,943 row 6 : december 20, 1948 | depaul | 89-51 | win | champaign, il | 6,013 row 7 : december 21, 1948 | cornell | 71-47 | win | champaign, il | 3,042 row 8 : december 29, 1948 | colgate | 77-54 | win | champaign, il | 4,541 row 9 : december 30, 1948 | colgate | 85-55 | win | champaign, il | 3,880 row 10 : january 3, 1949 | wisconsin | 62-50 | win | champaign, il | - row 11 : january 8, 1949 | indiana | 44-42 | win (2ot) | bloomington, in | 10,000 row 12 : january 10, 1949 | ohio state | 64-63 | win | columbus, oh | 6,958 row 13 : january 15, 1949 | creighton | 96-30 | win | champaign, il | 6,958 row 14 : january 29, 1949 | minnesota (ranked #4) | 45-44 | win | champaign, il | 6,905 row 15 : january 31, 1949 | purdue | 53-55 | loss | west lafayette, in | 10,000 row 16 : february 5, 1949 | wisconsin | 61-54 | win | madison, wi | 13,5000 row 17 : february 7, 1949 | northwestern | 85-66 | win | champaign, il | - row 18 : february 12, 1949 | ohio state | 64-49 | win | champaign, il | 6,905 row 19 : february 21, 1949 | iowa | 80-49 | win | champaign, il | - row 20 : february 26, 1949 | northwestern | 81-64 | win | chicago, il | 17,905 row 21 : february 28, 1949 | indiana | 91-28 | win | champaign, il | - row 22 : march 7, 1949 | michigan | 53-70 | loss | ann arbor, mi | -
|
table_csv/204_795.csv
| 2 |
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|
[
"what were all the games played in the 1948-49 illinois fighting illini men's basketball team's season?",
"of those, which took place on january 8, 1949 or december 11, 1948?",
"of those, which had the highest attendance?"
] | 1 |
december 11, 1948, depaul, 50-60, loss, chicago, il, 17,189
|
[
"Date",
"Opponent",
"Score",
"Result",
"Location",
"Attendance"
] |
of those, which had the highest attendance?
|
[
[
"December 3, 1948",
"Butler",
"67-62",
"Win",
"Champaign, IL",
"-"
],
[
"December 8, 1948",
"Notre Dame",
"59-58",
"Win (OT)",
"Notre Dame, IN",
"-"
],
[
"December 11, 1948",
"DePaul",
"50-60",
"Loss",
"Chicago, IL",
"17,189"
],
[
"December 13, 1948",
"Oklahoma",
"73-68",
"Win",
"Champaign, IL",
"6,902"
],
[
"December 18, 1948",
"Pennsylvania",
"80-61",
"Win",
"Champaign, IL",
"3,943"
],
[
"December 20, 1948",
"DePaul",
"89-51",
"Win",
"Champaign, IL",
"6,013"
],
[
"December 21, 1948",
"Cornell",
"71-47",
"Win",
"Champaign, IL",
"3,042"
],
[
"December 29, 1948",
"Colgate",
"77-54",
"Win",
"Champaign, IL",
"4,541"
],
[
"December 30, 1948",
"Colgate",
"85-55",
"Win",
"Champaign, IL",
"3,880"
],
[
"January 3, 1949",
"Wisconsin",
"62-50",
"Win",
"Champaign, IL",
"-"
],
[
"January 8, 1949",
"Indiana",
"44-42",
"Win (2ot)",
"Bloomington, IN",
"10,000"
],
[
"January 10, 1949",
"Ohio State",
"64-63",
"Win",
"Columbus, OH",
"6,958"
],
[
"January 15, 1949",
"Creighton",
"96-30",
"Win",
"Champaign, IL",
"6,958"
],
[
"January 29, 1949",
"Minnesota (ranked #4)",
"45-44",
"Win",
"Champaign, IL",
"6,905"
],
[
"January 31, 1949",
"Purdue",
"53-55",
"Loss",
"West Lafayette, IN",
"10,000"
],
[
"February 5, 1949",
"Wisconsin",
"61-54",
"Win",
"Madison, WI",
"13,5000"
],
[
"February 7, 1949",
"Northwestern",
"85-66",
"Win",
"Champaign, IL",
"-"
],
[
"February 12, 1949",
"Ohio State",
"64-49",
"Win",
"Champaign, IL",
"6,905"
],
[
"February 21, 1949",
"Iowa",
"80-49",
"Win",
"Champaign, IL",
"-"
],
[
"February 26, 1949",
"Northwestern",
"81-64",
"Win",
"Chicago, IL",
"17,905"
],
[
"February 28, 1949",
"Indiana",
"91-28",
"Win",
"Champaign, IL",
"-"
],
[
"March 7, 1949",
"Michigan",
"53-70",
"Loss",
"Ann Arbor, MI",
"-"
]
] |
[
"December 11, 1948",
"DePaul",
"50-60",
"Loss",
"Chicago, IL",
"17,189"
] |
of those, which had the highest attendance? || of those, which took place on january 8, 1949 or december 11, 1948? | what were all the games played in the 1948-49 illinois fighting illini men's basketball team's season?
|
nt-5056
|
col : date | opponent | score | result | location | attendance row 1 : december 3, 1948 | butler | 67-62 | win | champaign, il | - row 2 : december 8, 1948 | notre dame | 59-58 | win (ot) | notre dame, in | - row 3 : december 11, 1948 | depaul | 50-60 | loss | chicago, il | 17,189 row 4 : december 13, 1948 | oklahoma | 73-68 | win | champaign, il | 6,902 row 5 : december 18, 1948 | pennsylvania | 80-61 | win | champaign, il | 3,943 row 6 : december 20, 1948 | depaul | 89-51 | win | champaign, il | 6,013 row 7 : december 21, 1948 | cornell | 71-47 | win | champaign, il | 3,042 row 8 : december 29, 1948 | colgate | 77-54 | win | champaign, il | 4,541 row 9 : december 30, 1948 | colgate | 85-55 | win | champaign, il | 3,880 row 10 : january 3, 1949 | wisconsin | 62-50 | win | champaign, il | - row 11 : january 8, 1949 | indiana | 44-42 | win (2ot) | bloomington, in | 10,000 row 12 : january 10, 1949 | ohio state | 64-63 | win | columbus, oh | 6,958 row 13 : january 15, 1949 | creighton | 96-30 | win | champaign, il | 6,958 row 14 : january 29, 1949 | minnesota (ranked #4) | 45-44 | win | champaign, il | 6,905 row 15 : january 31, 1949 | purdue | 53-55 | loss | west lafayette, in | 10,000 row 16 : february 5, 1949 | wisconsin | 61-54 | win | madison, wi | 13,5000 row 17 : february 7, 1949 | northwestern | 85-66 | win | champaign, il | - row 18 : february 12, 1949 | ohio state | 64-49 | win | champaign, il | 6,905 row 19 : february 21, 1949 | iowa | 80-49 | win | champaign, il | - row 20 : february 26, 1949 | northwestern | 81-64 | win | chicago, il | 17,905 row 21 : february 28, 1949 | indiana | 91-28 | win | champaign, il | - row 22 : march 7, 1949 | michigan | 53-70 | loss | ann arbor, mi | -
|
table_csv/204_795.csv
| 3 |
{
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0
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|
[
"what were all the games played in the 1948-49 illinois fighting illini men's basketball team's season?",
"of those, which took place on january 8, 1949 or december 11, 1948?",
"of those, which had the highest attendance?",
"for that result, what was the date?"
] | 1 |
december 11, 1948
|
[
"Date",
"Opponent",
"Score",
"Result",
"Location",
"Attendance"
] |
for that result, what was the date?
|
[
[
"December 3, 1948",
"Butler",
"67-62",
"Win",
"Champaign, IL",
"-"
],
[
"December 8, 1948",
"Notre Dame",
"59-58",
"Win (OT)",
"Notre Dame, IN",
"-"
],
[
"December 11, 1948",
"DePaul",
"50-60",
"Loss",
"Chicago, IL",
"17,189"
],
[
"December 13, 1948",
"Oklahoma",
"73-68",
"Win",
"Champaign, IL",
"6,902"
],
[
"December 18, 1948",
"Pennsylvania",
"80-61",
"Win",
"Champaign, IL",
"3,943"
],
[
"December 20, 1948",
"DePaul",
"89-51",
"Win",
"Champaign, IL",
"6,013"
],
[
"December 21, 1948",
"Cornell",
"71-47",
"Win",
"Champaign, IL",
"3,042"
],
[
"December 29, 1948",
"Colgate",
"77-54",
"Win",
"Champaign, IL",
"4,541"
],
[
"December 30, 1948",
"Colgate",
"85-55",
"Win",
"Champaign, IL",
"3,880"
],
[
"January 3, 1949",
"Wisconsin",
"62-50",
"Win",
"Champaign, IL",
"-"
],
[
"January 8, 1949",
"Indiana",
"44-42",
"Win (2ot)",
"Bloomington, IN",
"10,000"
],
[
"January 10, 1949",
"Ohio State",
"64-63",
"Win",
"Columbus, OH",
"6,958"
],
[
"January 15, 1949",
"Creighton",
"96-30",
"Win",
"Champaign, IL",
"6,958"
],
[
"January 29, 1949",
"Minnesota (ranked #4)",
"45-44",
"Win",
"Champaign, IL",
"6,905"
],
[
"January 31, 1949",
"Purdue",
"53-55",
"Loss",
"West Lafayette, IN",
"10,000"
],
[
"February 5, 1949",
"Wisconsin",
"61-54",
"Win",
"Madison, WI",
"13,5000"
],
[
"February 7, 1949",
"Northwestern",
"85-66",
"Win",
"Champaign, IL",
"-"
],
[
"February 12, 1949",
"Ohio State",
"64-49",
"Win",
"Champaign, IL",
"6,905"
],
[
"February 21, 1949",
"Iowa",
"80-49",
"Win",
"Champaign, IL",
"-"
],
[
"February 26, 1949",
"Northwestern",
"81-64",
"Win",
"Chicago, IL",
"17,905"
],
[
"February 28, 1949",
"Indiana",
"91-28",
"Win",
"Champaign, IL",
"-"
],
[
"March 7, 1949",
"Michigan",
"53-70",
"Loss",
"Ann Arbor, MI",
"-"
]
] |
[
"December 11, 1948"
] |
for that result, what was the date? || of those, which had the highest attendance? | of those, which took place on january 8, 1949 or december 11, 1948? | what were all the games played in the 1948-49 illinois fighting illini men's basketball team's season?
|
nt-5056
|
col : date | opponent | score | result | location | attendance row 1 : december 3, 1948 | butler | 67-62 | win | champaign, il | - row 2 : december 8, 1948 | notre dame | 59-58 | win (ot) | notre dame, in | - row 3 : december 11, 1948 | depaul | 50-60 | loss | chicago, il | 17,189 row 4 : december 13, 1948 | oklahoma | 73-68 | win | champaign, il | 6,902 row 5 : december 18, 1948 | pennsylvania | 80-61 | win | champaign, il | 3,943 row 6 : december 20, 1948 | depaul | 89-51 | win | champaign, il | 6,013 row 7 : december 21, 1948 | cornell | 71-47 | win | champaign, il | 3,042 row 8 : december 29, 1948 | colgate | 77-54 | win | champaign, il | 4,541 row 9 : december 30, 1948 | colgate | 85-55 | win | champaign, il | 3,880 row 10 : january 3, 1949 | wisconsin | 62-50 | win | champaign, il | - row 11 : january 8, 1949 | indiana | 44-42 | win (2ot) | bloomington, in | 10,000 row 12 : january 10, 1949 | ohio state | 64-63 | win | columbus, oh | 6,958 row 13 : january 15, 1949 | creighton | 96-30 | win | champaign, il | 6,958 row 14 : january 29, 1949 | minnesota (ranked #4) | 45-44 | win | champaign, il | 6,905 row 15 : january 31, 1949 | purdue | 53-55 | loss | west lafayette, in | 10,000 row 16 : february 5, 1949 | wisconsin | 61-54 | win | madison, wi | 13,5000 row 17 : february 7, 1949 | northwestern | 85-66 | win | champaign, il | - row 18 : february 12, 1949 | ohio state | 64-49 | win | champaign, il | 6,905 row 19 : february 21, 1949 | iowa | 80-49 | win | champaign, il | - row 20 : february 26, 1949 | northwestern | 81-64 | win | chicago, il | 17,905 row 21 : february 28, 1949 | indiana | 91-28 | win | champaign, il | - row 22 : march 7, 1949 | michigan | 53-70 | loss | ann arbor, mi | -
|
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[
"what were the dates for fighting illini men's basketball team"
] | 2 |
december 3, 1948, december 8, 1948, december 11, 1948, december 13, 1948, december 18, 1948, december 20, 1948, december 21, 1948, december 29, 1948, december 30, 1948, january 3, 1949, january 8, 1949, 10,000, january 10, 1949, january 15, 1949, january 29, 1949, january 31, 1949, february 5, 1949, february 7, 1949, february 12, 1949, february 21, 1949, february 26, 1949, february 28, 1949, march 7, 1949
|
[
"Date",
"Opponent",
"Score",
"Result",
"Location",
"Attendance"
] |
what were the dates for fighting illini men's basketball team
|
[
[
"December 3, 1948",
"Butler",
"67-62",
"Win",
"Champaign, IL",
"-"
],
[
"December 8, 1948",
"Notre Dame",
"59-58",
"Win (OT)",
"Notre Dame, IN",
"-"
],
[
"December 11, 1948",
"DePaul",
"50-60",
"Loss",
"Chicago, IL",
"17,189"
],
[
"December 13, 1948",
"Oklahoma",
"73-68",
"Win",
"Champaign, IL",
"6,902"
],
[
"December 18, 1948",
"Pennsylvania",
"80-61",
"Win",
"Champaign, IL",
"3,943"
],
[
"December 20, 1948",
"DePaul",
"89-51",
"Win",
"Champaign, IL",
"6,013"
],
[
"December 21, 1948",
"Cornell",
"71-47",
"Win",
"Champaign, IL",
"3,042"
],
[
"December 29, 1948",
"Colgate",
"77-54",
"Win",
"Champaign, IL",
"4,541"
],
[
"December 30, 1948",
"Colgate",
"85-55",
"Win",
"Champaign, IL",
"3,880"
],
[
"January 3, 1949",
"Wisconsin",
"62-50",
"Win",
"Champaign, IL",
"-"
],
[
"January 8, 1949",
"Indiana",
"44-42",
"Win (2ot)",
"Bloomington, IN",
"10,000"
],
[
"January 10, 1949",
"Ohio State",
"64-63",
"Win",
"Columbus, OH",
"6,958"
],
[
"January 15, 1949",
"Creighton",
"96-30",
"Win",
"Champaign, IL",
"6,958"
],
[
"January 29, 1949",
"Minnesota (ranked #4)",
"45-44",
"Win",
"Champaign, IL",
"6,905"
],
[
"January 31, 1949",
"Purdue",
"53-55",
"Loss",
"West Lafayette, IN",
"10,000"
],
[
"February 5, 1949",
"Wisconsin",
"61-54",
"Win",
"Madison, WI",
"13,5000"
],
[
"February 7, 1949",
"Northwestern",
"85-66",
"Win",
"Champaign, IL",
"-"
],
[
"February 12, 1949",
"Ohio State",
"64-49",
"Win",
"Champaign, IL",
"6,905"
],
[
"February 21, 1949",
"Iowa",
"80-49",
"Win",
"Champaign, IL",
"-"
],
[
"February 26, 1949",
"Northwestern",
"81-64",
"Win",
"Chicago, IL",
"17,905"
],
[
"February 28, 1949",
"Indiana",
"91-28",
"Win",
"Champaign, IL",
"-"
],
[
"March 7, 1949",
"Michigan",
"53-70",
"Loss",
"Ann Arbor, MI",
"-"
]
] |
[
"December 3, 1948",
"December 8, 1948",
"December 11, 1948",
"December 13, 1948",
"December 18, 1948",
"December 20, 1948",
"December 21, 1948",
"December 29, 1948",
"December 30, 1948",
"January 3, 1949",
"January 8, 1949",
"10,000",
"January 10, 1949",
"January 15, 1949",
"January 29, 1949",
"January 31, 1949",
"February 5, 1949",
"February 7, 1949",
"February 12, 1949",
"February 21, 1949",
"February 26, 1949",
"February 28, 1949",
"March 7, 1949"
] |
what were the dates for fighting illini men's basketball team ||
|
nt-5056
|
col : date | opponent | score | result | location | attendance row 1 : december 3, 1948 | butler | 67-62 | win | champaign, il | - row 2 : december 8, 1948 | notre dame | 59-58 | win (ot) | notre dame, in | - row 3 : december 11, 1948 | depaul | 50-60 | loss | chicago, il | 17,189 row 4 : december 13, 1948 | oklahoma | 73-68 | win | champaign, il | 6,902 row 5 : december 18, 1948 | pennsylvania | 80-61 | win | champaign, il | 3,943 row 6 : december 20, 1948 | depaul | 89-51 | win | champaign, il | 6,013 row 7 : december 21, 1948 | cornell | 71-47 | win | champaign, il | 3,042 row 8 : december 29, 1948 | colgate | 77-54 | win | champaign, il | 4,541 row 9 : december 30, 1948 | colgate | 85-55 | win | champaign, il | 3,880 row 10 : january 3, 1949 | wisconsin | 62-50 | win | champaign, il | - row 11 : january 8, 1949 | indiana | 44-42 | win (2ot) | bloomington, in | 10,000 row 12 : january 10, 1949 | ohio state | 64-63 | win | columbus, oh | 6,958 row 13 : january 15, 1949 | creighton | 96-30 | win | champaign, il | 6,958 row 14 : january 29, 1949 | minnesota (ranked #4) | 45-44 | win | champaign, il | 6,905 row 15 : january 31, 1949 | purdue | 53-55 | loss | west lafayette, in | 10,000 row 16 : february 5, 1949 | wisconsin | 61-54 | win | madison, wi | 13,5000 row 17 : february 7, 1949 | northwestern | 85-66 | win | champaign, il | - row 18 : february 12, 1949 | ohio state | 64-49 | win | champaign, il | 6,905 row 19 : february 21, 1949 | iowa | 80-49 | win | champaign, il | - row 20 : february 26, 1949 | northwestern | 81-64 | win | chicago, il | 17,905 row 21 : february 28, 1949 | indiana | 91-28 | win | champaign, il | - row 22 : march 7, 1949 | michigan | 53-70 | loss | ann arbor, mi | -
|
table_csv/204_795.csv
| 1 |
{
"column_index": [
5
],
"row_index": [
10
]
}
|
[
"what were the dates for fighting illini men's basketball team",
"of these, what was the attendance for jan 8?"
] | 2 |
10,000
|
[
"Date",
"Opponent",
"Score",
"Result",
"Location",
"Attendance"
] |
of these, what was the attendance for jan 8?
|
[
[
"December 3, 1948",
"Butler",
"67-62",
"Win",
"Champaign, IL",
"-"
],
[
"December 8, 1948",
"Notre Dame",
"59-58",
"Win (OT)",
"Notre Dame, IN",
"-"
],
[
"December 11, 1948",
"DePaul",
"50-60",
"Loss",
"Chicago, IL",
"17,189"
],
[
"December 13, 1948",
"Oklahoma",
"73-68",
"Win",
"Champaign, IL",
"6,902"
],
[
"December 18, 1948",
"Pennsylvania",
"80-61",
"Win",
"Champaign, IL",
"3,943"
],
[
"December 20, 1948",
"DePaul",
"89-51",
"Win",
"Champaign, IL",
"6,013"
],
[
"December 21, 1948",
"Cornell",
"71-47",
"Win",
"Champaign, IL",
"3,042"
],
[
"December 29, 1948",
"Colgate",
"77-54",
"Win",
"Champaign, IL",
"4,541"
],
[
"December 30, 1948",
"Colgate",
"85-55",
"Win",
"Champaign, IL",
"3,880"
],
[
"January 3, 1949",
"Wisconsin",
"62-50",
"Win",
"Champaign, IL",
"-"
],
[
"January 8, 1949",
"Indiana",
"44-42",
"Win (2ot)",
"Bloomington, IN",
"10,000"
],
[
"January 10, 1949",
"Ohio State",
"64-63",
"Win",
"Columbus, OH",
"6,958"
],
[
"January 15, 1949",
"Creighton",
"96-30",
"Win",
"Champaign, IL",
"6,958"
],
[
"January 29, 1949",
"Minnesota (ranked #4)",
"45-44",
"Win",
"Champaign, IL",
"6,905"
],
[
"January 31, 1949",
"Purdue",
"53-55",
"Loss",
"West Lafayette, IN",
"10,000"
],
[
"February 5, 1949",
"Wisconsin",
"61-54",
"Win",
"Madison, WI",
"13,5000"
],
[
"February 7, 1949",
"Northwestern",
"85-66",
"Win",
"Champaign, IL",
"-"
],
[
"February 12, 1949",
"Ohio State",
"64-49",
"Win",
"Champaign, IL",
"6,905"
],
[
"February 21, 1949",
"Iowa",
"80-49",
"Win",
"Champaign, IL",
"-"
],
[
"February 26, 1949",
"Northwestern",
"81-64",
"Win",
"Chicago, IL",
"17,905"
],
[
"February 28, 1949",
"Indiana",
"91-28",
"Win",
"Champaign, IL",
"-"
],
[
"March 7, 1949",
"Michigan",
"53-70",
"Loss",
"Ann Arbor, MI",
"-"
]
] |
[
"10,000"
] |
of these, what was the attendance for jan 8? || what were the dates for fighting illini men's basketball team
|
nt-5056
|
col : date | opponent | score | result | location | attendance row 1 : december 3, 1948 | butler | 67-62 | win | champaign, il | - row 2 : december 8, 1948 | notre dame | 59-58 | win (ot) | notre dame, in | - row 3 : december 11, 1948 | depaul | 50-60 | loss | chicago, il | 17,189 row 4 : december 13, 1948 | oklahoma | 73-68 | win | champaign, il | 6,902 row 5 : december 18, 1948 | pennsylvania | 80-61 | win | champaign, il | 3,943 row 6 : december 20, 1948 | depaul | 89-51 | win | champaign, il | 6,013 row 7 : december 21, 1948 | cornell | 71-47 | win | champaign, il | 3,042 row 8 : december 29, 1948 | colgate | 77-54 | win | champaign, il | 4,541 row 9 : december 30, 1948 | colgate | 85-55 | win | champaign, il | 3,880 row 10 : january 3, 1949 | wisconsin | 62-50 | win | champaign, il | - row 11 : january 8, 1949 | indiana | 44-42 | win (2ot) | bloomington, in | 10,000 row 12 : january 10, 1949 | ohio state | 64-63 | win | columbus, oh | 6,958 row 13 : january 15, 1949 | creighton | 96-30 | win | champaign, il | 6,958 row 14 : january 29, 1949 | minnesota (ranked #4) | 45-44 | win | champaign, il | 6,905 row 15 : january 31, 1949 | purdue | 53-55 | loss | west lafayette, in | 10,000 row 16 : february 5, 1949 | wisconsin | 61-54 | win | madison, wi | 13,5000 row 17 : february 7, 1949 | northwestern | 85-66 | win | champaign, il | - row 18 : february 12, 1949 | ohio state | 64-49 | win | champaign, il | 6,905 row 19 : february 21, 1949 | iowa | 80-49 | win | champaign, il | - row 20 : february 26, 1949 | northwestern | 81-64 | win | chicago, il | 17,905 row 21 : february 28, 1949 | indiana | 91-28 | win | champaign, il | - row 22 : march 7, 1949 | michigan | 53-70 | loss | ann arbor, mi | -
|
table_csv/204_795.csv
| 2 |
{
"column_index": [
5
],
"row_index": [
2
]
}
|
[
"what were the dates for fighting illini men's basketball team",
"of these, what was the attendance for jan 8?",
"what was the attendance for dec. 11?"
] | 2 |
17,189
|
[
"Date",
"Opponent",
"Score",
"Result",
"Location",
"Attendance"
] |
what was the attendance for dec. 11?
|
[
[
"December 3, 1948",
"Butler",
"67-62",
"Win",
"Champaign, IL",
"-"
],
[
"December 8, 1948",
"Notre Dame",
"59-58",
"Win (OT)",
"Notre Dame, IN",
"-"
],
[
"December 11, 1948",
"DePaul",
"50-60",
"Loss",
"Chicago, IL",
"17,189"
],
[
"December 13, 1948",
"Oklahoma",
"73-68",
"Win",
"Champaign, IL",
"6,902"
],
[
"December 18, 1948",
"Pennsylvania",
"80-61",
"Win",
"Champaign, IL",
"3,943"
],
[
"December 20, 1948",
"DePaul",
"89-51",
"Win",
"Champaign, IL",
"6,013"
],
[
"December 21, 1948",
"Cornell",
"71-47",
"Win",
"Champaign, IL",
"3,042"
],
[
"December 29, 1948",
"Colgate",
"77-54",
"Win",
"Champaign, IL",
"4,541"
],
[
"December 30, 1948",
"Colgate",
"85-55",
"Win",
"Champaign, IL",
"3,880"
],
[
"January 3, 1949",
"Wisconsin",
"62-50",
"Win",
"Champaign, IL",
"-"
],
[
"January 8, 1949",
"Indiana",
"44-42",
"Win (2ot)",
"Bloomington, IN",
"10,000"
],
[
"January 10, 1949",
"Ohio State",
"64-63",
"Win",
"Columbus, OH",
"6,958"
],
[
"January 15, 1949",
"Creighton",
"96-30",
"Win",
"Champaign, IL",
"6,958"
],
[
"January 29, 1949",
"Minnesota (ranked #4)",
"45-44",
"Win",
"Champaign, IL",
"6,905"
],
[
"January 31, 1949",
"Purdue",
"53-55",
"Loss",
"West Lafayette, IN",
"10,000"
],
[
"February 5, 1949",
"Wisconsin",
"61-54",
"Win",
"Madison, WI",
"13,5000"
],
[
"February 7, 1949",
"Northwestern",
"85-66",
"Win",
"Champaign, IL",
"-"
],
[
"February 12, 1949",
"Ohio State",
"64-49",
"Win",
"Champaign, IL",
"6,905"
],
[
"February 21, 1949",
"Iowa",
"80-49",
"Win",
"Champaign, IL",
"-"
],
[
"February 26, 1949",
"Northwestern",
"81-64",
"Win",
"Chicago, IL",
"17,905"
],
[
"February 28, 1949",
"Indiana",
"91-28",
"Win",
"Champaign, IL",
"-"
],
[
"March 7, 1949",
"Michigan",
"53-70",
"Loss",
"Ann Arbor, MI",
"-"
]
] |
[
"17,189"
] |
what was the attendance for dec. 11? || of these, what was the attendance for jan 8? | what were the dates for fighting illini men's basketball team
|
nt-5056
|
col : date | opponent | score | result | location | attendance row 1 : december 3, 1948 | butler | 67-62 | win | champaign, il | - row 2 : december 8, 1948 | notre dame | 59-58 | win (ot) | notre dame, in | - row 3 : december 11, 1948 | depaul | 50-60 | loss | chicago, il | 17,189 row 4 : december 13, 1948 | oklahoma | 73-68 | win | champaign, il | 6,902 row 5 : december 18, 1948 | pennsylvania | 80-61 | win | champaign, il | 3,943 row 6 : december 20, 1948 | depaul | 89-51 | win | champaign, il | 6,013 row 7 : december 21, 1948 | cornell | 71-47 | win | champaign, il | 3,042 row 8 : december 29, 1948 | colgate | 77-54 | win | champaign, il | 4,541 row 9 : december 30, 1948 | colgate | 85-55 | win | champaign, il | 3,880 row 10 : january 3, 1949 | wisconsin | 62-50 | win | champaign, il | - row 11 : january 8, 1949 | indiana | 44-42 | win (2ot) | bloomington, in | 10,000 row 12 : january 10, 1949 | ohio state | 64-63 | win | columbus, oh | 6,958 row 13 : january 15, 1949 | creighton | 96-30 | win | champaign, il | 6,958 row 14 : january 29, 1949 | minnesota (ranked #4) | 45-44 | win | champaign, il | 6,905 row 15 : january 31, 1949 | purdue | 53-55 | loss | west lafayette, in | 10,000 row 16 : february 5, 1949 | wisconsin | 61-54 | win | madison, wi | 13,5000 row 17 : february 7, 1949 | northwestern | 85-66 | win | champaign, il | - row 18 : february 12, 1949 | ohio state | 64-49 | win | champaign, il | 6,905 row 19 : february 21, 1949 | iowa | 80-49 | win | champaign, il | - row 20 : february 26, 1949 | northwestern | 81-64 | win | chicago, il | 17,905 row 21 : february 28, 1949 | indiana | 91-28 | win | champaign, il | - row 22 : march 7, 1949 | michigan | 53-70 | loss | ann arbor, mi | -
|
table_csv/204_795.csv
| 3 |
{
"column_index": [
5
],
"row_index": [
2
]
}
|
[
"what were the dates for fighting illini men's basketball team",
"of these, what was the attendance for jan 8?",
"what was the attendance for dec. 11?",
"which of these are higher?"
] | 2 |
17,189
|
[
"Date",
"Opponent",
"Score",
"Result",
"Location",
"Attendance"
] |
which of these are higher?
|
[
[
"December 3, 1948",
"Butler",
"67-62",
"Win",
"Champaign, IL",
"-"
],
[
"December 8, 1948",
"Notre Dame",
"59-58",
"Win (OT)",
"Notre Dame, IN",
"-"
],
[
"December 11, 1948",
"DePaul",
"50-60",
"Loss",
"Chicago, IL",
"17,189"
],
[
"December 13, 1948",
"Oklahoma",
"73-68",
"Win",
"Champaign, IL",
"6,902"
],
[
"December 18, 1948",
"Pennsylvania",
"80-61",
"Win",
"Champaign, IL",
"3,943"
],
[
"December 20, 1948",
"DePaul",
"89-51",
"Win",
"Champaign, IL",
"6,013"
],
[
"December 21, 1948",
"Cornell",
"71-47",
"Win",
"Champaign, IL",
"3,042"
],
[
"December 29, 1948",
"Colgate",
"77-54",
"Win",
"Champaign, IL",
"4,541"
],
[
"December 30, 1948",
"Colgate",
"85-55",
"Win",
"Champaign, IL",
"3,880"
],
[
"January 3, 1949",
"Wisconsin",
"62-50",
"Win",
"Champaign, IL",
"-"
],
[
"January 8, 1949",
"Indiana",
"44-42",
"Win (2ot)",
"Bloomington, IN",
"10,000"
],
[
"January 10, 1949",
"Ohio State",
"64-63",
"Win",
"Columbus, OH",
"6,958"
],
[
"January 15, 1949",
"Creighton",
"96-30",
"Win",
"Champaign, IL",
"6,958"
],
[
"January 29, 1949",
"Minnesota (ranked #4)",
"45-44",
"Win",
"Champaign, IL",
"6,905"
],
[
"January 31, 1949",
"Purdue",
"53-55",
"Loss",
"West Lafayette, IN",
"10,000"
],
[
"February 5, 1949",
"Wisconsin",
"61-54",
"Win",
"Madison, WI",
"13,5000"
],
[
"February 7, 1949",
"Northwestern",
"85-66",
"Win",
"Champaign, IL",
"-"
],
[
"February 12, 1949",
"Ohio State",
"64-49",
"Win",
"Champaign, IL",
"6,905"
],
[
"February 21, 1949",
"Iowa",
"80-49",
"Win",
"Champaign, IL",
"-"
],
[
"February 26, 1949",
"Northwestern",
"81-64",
"Win",
"Chicago, IL",
"17,905"
],
[
"February 28, 1949",
"Indiana",
"91-28",
"Win",
"Champaign, IL",
"-"
],
[
"March 7, 1949",
"Michigan",
"53-70",
"Loss",
"Ann Arbor, MI",
"-"
]
] |
[
"17,189"
] |
which of these are higher? || what was the attendance for dec. 11? | of these, what was the attendance for jan 8? | what were the dates for fighting illini men's basketball team
|
nt-5056
|
col : date | opponent | score | result | location | attendance row 1 : december 3, 1948 | butler | 67-62 | win | champaign, il | - row 2 : december 8, 1948 | notre dame | 59-58 | win (ot) | notre dame, in | - row 3 : december 11, 1948 | depaul | 50-60 | loss | chicago, il | 17,189 row 4 : december 13, 1948 | oklahoma | 73-68 | win | champaign, il | 6,902 row 5 : december 18, 1948 | pennsylvania | 80-61 | win | champaign, il | 3,943 row 6 : december 20, 1948 | depaul | 89-51 | win | champaign, il | 6,013 row 7 : december 21, 1948 | cornell | 71-47 | win | champaign, il | 3,042 row 8 : december 29, 1948 | colgate | 77-54 | win | champaign, il | 4,541 row 9 : december 30, 1948 | colgate | 85-55 | win | champaign, il | 3,880 row 10 : january 3, 1949 | wisconsin | 62-50 | win | champaign, il | - row 11 : january 8, 1949 | indiana | 44-42 | win (2ot) | bloomington, in | 10,000 row 12 : january 10, 1949 | ohio state | 64-63 | win | columbus, oh | 6,958 row 13 : january 15, 1949 | creighton | 96-30 | win | champaign, il | 6,958 row 14 : january 29, 1949 | minnesota (ranked #4) | 45-44 | win | champaign, il | 6,905 row 15 : january 31, 1949 | purdue | 53-55 | loss | west lafayette, in | 10,000 row 16 : february 5, 1949 | wisconsin | 61-54 | win | madison, wi | 13,5000 row 17 : february 7, 1949 | northwestern | 85-66 | win | champaign, il | - row 18 : february 12, 1949 | ohio state | 64-49 | win | champaign, il | 6,905 row 19 : february 21, 1949 | iowa | 80-49 | win | champaign, il | - row 20 : february 26, 1949 | northwestern | 81-64 | win | chicago, il | 17,905 row 21 : february 28, 1949 | indiana | 91-28 | win | champaign, il | - row 22 : march 7, 1949 | michigan | 53-70 | loss | ann arbor, mi | -
|
table_csv/204_795.csv
| 4 |
{
"column_index": [
0
],
"row_index": [
2
]
}
|
[
"what were the dates for fighting illini men's basketball team",
"of these, what was the attendance for jan 8?",
"what was the attendance for dec. 11?",
"which of these are higher?",
"which date was this the attendance?"
] | 2 |
december 11, 1948
|
[
"Date",
"Opponent",
"Score",
"Result",
"Location",
"Attendance"
] |
which date was this the attendance?
|
[
[
"December 3, 1948",
"Butler",
"67-62",
"Win",
"Champaign, IL",
"-"
],
[
"December 8, 1948",
"Notre Dame",
"59-58",
"Win (OT)",
"Notre Dame, IN",
"-"
],
[
"December 11, 1948",
"DePaul",
"50-60",
"Loss",
"Chicago, IL",
"17,189"
],
[
"December 13, 1948",
"Oklahoma",
"73-68",
"Win",
"Champaign, IL",
"6,902"
],
[
"December 18, 1948",
"Pennsylvania",
"80-61",
"Win",
"Champaign, IL",
"3,943"
],
[
"December 20, 1948",
"DePaul",
"89-51",
"Win",
"Champaign, IL",
"6,013"
],
[
"December 21, 1948",
"Cornell",
"71-47",
"Win",
"Champaign, IL",
"3,042"
],
[
"December 29, 1948",
"Colgate",
"77-54",
"Win",
"Champaign, IL",
"4,541"
],
[
"December 30, 1948",
"Colgate",
"85-55",
"Win",
"Champaign, IL",
"3,880"
],
[
"January 3, 1949",
"Wisconsin",
"62-50",
"Win",
"Champaign, IL",
"-"
],
[
"January 8, 1949",
"Indiana",
"44-42",
"Win (2ot)",
"Bloomington, IN",
"10,000"
],
[
"January 10, 1949",
"Ohio State",
"64-63",
"Win",
"Columbus, OH",
"6,958"
],
[
"January 15, 1949",
"Creighton",
"96-30",
"Win",
"Champaign, IL",
"6,958"
],
[
"January 29, 1949",
"Minnesota (ranked #4)",
"45-44",
"Win",
"Champaign, IL",
"6,905"
],
[
"January 31, 1949",
"Purdue",
"53-55",
"Loss",
"West Lafayette, IN",
"10,000"
],
[
"February 5, 1949",
"Wisconsin",
"61-54",
"Win",
"Madison, WI",
"13,5000"
],
[
"February 7, 1949",
"Northwestern",
"85-66",
"Win",
"Champaign, IL",
"-"
],
[
"February 12, 1949",
"Ohio State",
"64-49",
"Win",
"Champaign, IL",
"6,905"
],
[
"February 21, 1949",
"Iowa",
"80-49",
"Win",
"Champaign, IL",
"-"
],
[
"February 26, 1949",
"Northwestern",
"81-64",
"Win",
"Chicago, IL",
"17,905"
],
[
"February 28, 1949",
"Indiana",
"91-28",
"Win",
"Champaign, IL",
"-"
],
[
"March 7, 1949",
"Michigan",
"53-70",
"Loss",
"Ann Arbor, MI",
"-"
]
] |
[
"December 11, 1948"
] |
which date was this the attendance? || which of these are higher? | what was the attendance for dec. 11? | of these, what was the attendance for jan 8? | what were the dates for fighting illini men's basketball team
|
nt-9708
|
col : team | titles | runner-up | third place | fourth place | years participated row 1 : michigan | 15 | 13 | 10 | 6 | 44 row 2 : michigan state | 12 | 13 | 11 | 4 | 40 row 3 : michigan tech | 10 | 13 | 10 | 16 | 49 row 4 : western michigan | 2 | 1 | 0 | 1 | 4 row 5 : north dakota | 2 | 1 | 0 | 1 | 4 row 6 : toronto | 1 | 0 | 0 | 0 | 1 row 7 : new hampshire | 1 | 0 | 1 | 0 | 2 row 8 : colorado college | 1 | 1 | 0 | 1 | 3 row 9 : wisconsin | 1 | 1 | 1 | 0 | 3 row 10 : boston college | 1 | 0 | 3 | 0 | 4 row 11 : notre dame | 1 | 0 | 0 | 3 | 4 row 12 : boston university | 1 | 0 | 4 | 0 | 5 row 13 : harvard | 1 | 0 | 2 | 2 | 5 row 14 : maine | 0 | 1 | 0 | 0 | 1 row 15 : ohio state | 0 | 1 | 0 | 0 | 1 row 16 : rensselaer polytechnic institute | 0 | 2 | 0 | 0 | 2 row 17 : lake superior state | 0 | 1 | 1 | 1 | 3 row 18 : northern michigan | 0 | 1 | 2 | 2 | 5 row 19 : colgate | 0 | 0 | 1 | 0 | 1 row 20 : dartmouth | 0 | 0 | 1 | 0 | 1 row 21 : providence | 0 | 0 | 1 | 0 | 1 row 22 : brown | 0 | 0 | 1 | 1 | 2 row 23 : cornell | 0 | 0 | 0 | 1 | 1 row 24 : princeton | 0 | 0 | 0 | 1 | 1 row 25 : st lawrence | 0 | 0 | 0 | 1 | 1 row 26 : yale | 0 | 0 | 0 | 1 | 1 row 27 : bowling green | 0 | 0 | 0 | 2 | 2 row 28 : pennsylvania | 0 | 0 | 0 | 2 | 2 row 29 : western ontario | 0 | 0 | 0 | 2 | 2
|
table_csv/203_502.csv
| 0 |
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}
|
[
"what are all the names of the teams?"
] | 0 |
michigan, michigan state, michigan tech, western michigan, north dakota, toronto, new hampshire, colorado college, wisconsin, boston college, notre dame, boston university, harvard, maine, ohio state, rensselaer polytechnic institute, lake superior state, northern michigan, colgate, dartmouth, providence, brown, cornell, princeton, st lawrence, yale, bowling green, pennsylvania, western ontario
|
[
"Team",
"Titles",
"Runner-up",
"Third place",
"Fourth place",
"Years participated"
] |
what are all the names of the teams?
|
[
[
"Michigan",
"15",
"13",
"10",
"6",
"44"
],
[
"Michigan State",
"12",
"13",
"11",
"4",
"40"
],
[
"Michigan Tech",
"10",
"13",
"10",
"16",
"49"
],
[
"Western Michigan",
"2",
"1",
"0",
"1",
"4"
],
[
"North Dakota",
"2",
"1",
"0",
"1",
"4"
],
[
"Toronto",
"1",
"0",
"0",
"0",
"1"
],
[
"New Hampshire",
"1",
"0",
"1",
"0",
"2"
],
[
"Colorado College",
"1",
"1",
"0",
"1",
"3"
],
[
"Wisconsin",
"1",
"1",
"1",
"0",
"3"
],
[
"Boston College",
"1",
"0",
"3",
"0",
"4"
],
[
"Notre Dame",
"1",
"0",
"0",
"3",
"4"
],
[
"Boston University",
"1",
"0",
"4",
"0",
"5"
],
[
"Harvard",
"1",
"0",
"2",
"2",
"5"
],
[
"Maine",
"0",
"1",
"0",
"0",
"1"
],
[
"Ohio State",
"0",
"1",
"0",
"0",
"1"
],
[
"Rensselaer Polytechnic Institute",
"0",
"2",
"0",
"0",
"2"
],
[
"Lake Superior State",
"0",
"1",
"1",
"1",
"3"
],
[
"Northern Michigan",
"0",
"1",
"2",
"2",
"5"
],
[
"Colgate",
"0",
"0",
"1",
"0",
"1"
],
[
"Dartmouth",
"0",
"0",
"1",
"0",
"1"
],
[
"Providence",
"0",
"0",
"1",
"0",
"1"
],
[
"Brown",
"0",
"0",
"1",
"1",
"2"
],
[
"Cornell",
"0",
"0",
"0",
"1",
"1"
],
[
"Princeton",
"0",
"0",
"0",
"1",
"1"
],
[
"St Lawrence",
"0",
"0",
"0",
"1",
"1"
],
[
"Yale",
"0",
"0",
"0",
"1",
"1"
],
[
"Bowling Green",
"0",
"0",
"0",
"2",
"2"
],
[
"Pennsylvania",
"0",
"0",
"0",
"2",
"2"
],
[
"Western Ontario",
"0",
"0",
"0",
"2",
"2"
]
] |
[
"Michigan",
"Michigan State",
"Michigan Tech",
"Western Michigan",
"North Dakota",
"Toronto",
"New Hampshire",
"Colorado College",
"Wisconsin",
"Boston College",
"Notre Dame",
"Boston University",
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"Dartmouth",
"Providence",
"Brown",
"Cornell",
"Princeton",
"St Lawrence",
"Yale",
"Bowling Green",
"Pennsylvania",
"Western Ontario"
] |
what are all the names of the teams? ||
|
nt-9708
|
col : team | titles | runner-up | third place | fourth place | years participated row 1 : michigan | 15 | 13 | 10 | 6 | 44 row 2 : michigan state | 12 | 13 | 11 | 4 | 40 row 3 : michigan tech | 10 | 13 | 10 | 16 | 49 row 4 : western michigan | 2 | 1 | 0 | 1 | 4 row 5 : north dakota | 2 | 1 | 0 | 1 | 4 row 6 : toronto | 1 | 0 | 0 | 0 | 1 row 7 : new hampshire | 1 | 0 | 1 | 0 | 2 row 8 : colorado college | 1 | 1 | 0 | 1 | 3 row 9 : wisconsin | 1 | 1 | 1 | 0 | 3 row 10 : boston college | 1 | 0 | 3 | 0 | 4 row 11 : notre dame | 1 | 0 | 0 | 3 | 4 row 12 : boston university | 1 | 0 | 4 | 0 | 5 row 13 : harvard | 1 | 0 | 2 | 2 | 5 row 14 : maine | 0 | 1 | 0 | 0 | 1 row 15 : ohio state | 0 | 1 | 0 | 0 | 1 row 16 : rensselaer polytechnic institute | 0 | 2 | 0 | 0 | 2 row 17 : lake superior state | 0 | 1 | 1 | 1 | 3 row 18 : northern michigan | 0 | 1 | 2 | 2 | 5 row 19 : colgate | 0 | 0 | 1 | 0 | 1 row 20 : dartmouth | 0 | 0 | 1 | 0 | 1 row 21 : providence | 0 | 0 | 1 | 0 | 1 row 22 : brown | 0 | 0 | 1 | 1 | 2 row 23 : cornell | 0 | 0 | 0 | 1 | 1 row 24 : princeton | 0 | 0 | 0 | 1 | 1 row 25 : st lawrence | 0 | 0 | 0 | 1 | 1 row 26 : yale | 0 | 0 | 0 | 1 | 1 row 27 : bowling green | 0 | 0 | 0 | 2 | 2 row 28 : pennsylvania | 0 | 0 | 0 | 2 | 2 row 29 : western ontario | 0 | 0 | 0 | 2 | 2
|
table_csv/203_502.csv
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[
"what are all the names of the teams?",
"which teams had at least 1 title?"
] | 0 |
michigan, michigan state, michigan tech, western michigan, north dakota, toronto, new hampshire, colorado college, wisconsin, boston college, notre dame, boston university, harvard
|
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which teams had at least 1 title?
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[
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"Toronto",
"New Hampshire",
"Colorado College",
"Wisconsin",
"Boston College",
"Notre Dame",
"Boston University",
"Harvard"
] |
which teams had at least 1 title? || what are all the names of the teams?
|
nt-9708
|
col : team | titles | runner-up | third place | fourth place | years participated row 1 : michigan | 15 | 13 | 10 | 6 | 44 row 2 : michigan state | 12 | 13 | 11 | 4 | 40 row 3 : michigan tech | 10 | 13 | 10 | 16 | 49 row 4 : western michigan | 2 | 1 | 0 | 1 | 4 row 5 : north dakota | 2 | 1 | 0 | 1 | 4 row 6 : toronto | 1 | 0 | 0 | 0 | 1 row 7 : new hampshire | 1 | 0 | 1 | 0 | 2 row 8 : colorado college | 1 | 1 | 0 | 1 | 3 row 9 : wisconsin | 1 | 1 | 1 | 0 | 3 row 10 : boston college | 1 | 0 | 3 | 0 | 4 row 11 : notre dame | 1 | 0 | 0 | 3 | 4 row 12 : boston university | 1 | 0 | 4 | 0 | 5 row 13 : harvard | 1 | 0 | 2 | 2 | 5 row 14 : maine | 0 | 1 | 0 | 0 | 1 row 15 : ohio state | 0 | 1 | 0 | 0 | 1 row 16 : rensselaer polytechnic institute | 0 | 2 | 0 | 0 | 2 row 17 : lake superior state | 0 | 1 | 1 | 1 | 3 row 18 : northern michigan | 0 | 1 | 2 | 2 | 5 row 19 : colgate | 0 | 0 | 1 | 0 | 1 row 20 : dartmouth | 0 | 0 | 1 | 0 | 1 row 21 : providence | 0 | 0 | 1 | 0 | 1 row 22 : brown | 0 | 0 | 1 | 1 | 2 row 23 : cornell | 0 | 0 | 0 | 1 | 1 row 24 : princeton | 0 | 0 | 0 | 1 | 1 row 25 : st lawrence | 0 | 0 | 0 | 1 | 1 row 26 : yale | 0 | 0 | 0 | 1 | 1 row 27 : bowling green | 0 | 0 | 0 | 2 | 2 row 28 : pennsylvania | 0 | 0 | 0 | 2 | 2 row 29 : western ontario | 0 | 0 | 0 | 2 | 2
|
table_csv/203_502.csv
| 2 |
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|
[
"what are all the names of the teams?",
"which teams had at least 1 title?",
"how many titles did michigan state have?"
] | 0 |
12
|
[
"Team",
"Titles",
"Runner-up",
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] |
how many titles did michigan state have?
|
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[
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] |
[
"12"
] |
how many titles did michigan state have? || which teams had at least 1 title? | what are all the names of the teams?
|
nt-9708
|
col : team | titles | runner-up | third place | fourth place | years participated row 1 : michigan | 15 | 13 | 10 | 6 | 44 row 2 : michigan state | 12 | 13 | 11 | 4 | 40 row 3 : michigan tech | 10 | 13 | 10 | 16 | 49 row 4 : western michigan | 2 | 1 | 0 | 1 | 4 row 5 : north dakota | 2 | 1 | 0 | 1 | 4 row 6 : toronto | 1 | 0 | 0 | 0 | 1 row 7 : new hampshire | 1 | 0 | 1 | 0 | 2 row 8 : colorado college | 1 | 1 | 0 | 1 | 3 row 9 : wisconsin | 1 | 1 | 1 | 0 | 3 row 10 : boston college | 1 | 0 | 3 | 0 | 4 row 11 : notre dame | 1 | 0 | 0 | 3 | 4 row 12 : boston university | 1 | 0 | 4 | 0 | 5 row 13 : harvard | 1 | 0 | 2 | 2 | 5 row 14 : maine | 0 | 1 | 0 | 0 | 1 row 15 : ohio state | 0 | 1 | 0 | 0 | 1 row 16 : rensselaer polytechnic institute | 0 | 2 | 0 | 0 | 2 row 17 : lake superior state | 0 | 1 | 1 | 1 | 3 row 18 : northern michigan | 0 | 1 | 2 | 2 | 5 row 19 : colgate | 0 | 0 | 1 | 0 | 1 row 20 : dartmouth | 0 | 0 | 1 | 0 | 1 row 21 : providence | 0 | 0 | 1 | 0 | 1 row 22 : brown | 0 | 0 | 1 | 1 | 2 row 23 : cornell | 0 | 0 | 0 | 1 | 1 row 24 : princeton | 0 | 0 | 0 | 1 | 1 row 25 : st lawrence | 0 | 0 | 0 | 1 | 1 row 26 : yale | 0 | 0 | 0 | 1 | 1 row 27 : bowling green | 0 | 0 | 0 | 2 | 2 row 28 : pennsylvania | 0 | 0 | 0 | 2 | 2 row 29 : western ontario | 0 | 0 | 0 | 2 | 2
|
table_csv/203_502.csv
| 3 |
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[
"what are all the names of the teams?",
"which teams had at least 1 title?",
"how many titles did michigan state have?",
"how many titles did colorado college have?"
] | 0 |
1
|
[
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] |
how many titles did colorado college have?
|
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[
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]
] |
[
"1"
] |
how many titles did colorado college have? || how many titles did michigan state have? | which teams had at least 1 title? | what are all the names of the teams?
|
nt-9708
|
col : team | titles | runner-up | third place | fourth place | years participated row 1 : michigan | 15 | 13 | 10 | 6 | 44 row 2 : michigan state | 12 | 13 | 11 | 4 | 40 row 3 : michigan tech | 10 | 13 | 10 | 16 | 49 row 4 : western michigan | 2 | 1 | 0 | 1 | 4 row 5 : north dakota | 2 | 1 | 0 | 1 | 4 row 6 : toronto | 1 | 0 | 0 | 0 | 1 row 7 : new hampshire | 1 | 0 | 1 | 0 | 2 row 8 : colorado college | 1 | 1 | 0 | 1 | 3 row 9 : wisconsin | 1 | 1 | 1 | 0 | 3 row 10 : boston college | 1 | 0 | 3 | 0 | 4 row 11 : notre dame | 1 | 0 | 0 | 3 | 4 row 12 : boston university | 1 | 0 | 4 | 0 | 5 row 13 : harvard | 1 | 0 | 2 | 2 | 5 row 14 : maine | 0 | 1 | 0 | 0 | 1 row 15 : ohio state | 0 | 1 | 0 | 0 | 1 row 16 : rensselaer polytechnic institute | 0 | 2 | 0 | 0 | 2 row 17 : lake superior state | 0 | 1 | 1 | 1 | 3 row 18 : northern michigan | 0 | 1 | 2 | 2 | 5 row 19 : colgate | 0 | 0 | 1 | 0 | 1 row 20 : dartmouth | 0 | 0 | 1 | 0 | 1 row 21 : providence | 0 | 0 | 1 | 0 | 1 row 22 : brown | 0 | 0 | 1 | 1 | 2 row 23 : cornell | 0 | 0 | 0 | 1 | 1 row 24 : princeton | 0 | 0 | 0 | 1 | 1 row 25 : st lawrence | 0 | 0 | 0 | 1 | 1 row 26 : yale | 0 | 0 | 0 | 1 | 1 row 27 : bowling green | 0 | 0 | 0 | 2 | 2 row 28 : pennsylvania | 0 | 0 | 0 | 2 | 2 row 29 : western ontario | 0 | 0 | 0 | 2 | 2
|
table_csv/203_502.csv
| 4 |
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[
"what are all the names of the teams?",
"which teams had at least 1 title?",
"how many titles did michigan state have?",
"how many titles did colorado college have?",
"of those two teams, which had more titles?"
] | 0 |
michigan state
|
[
"Team",
"Titles",
"Runner-up",
"Third place",
"Fourth place",
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] |
of those two teams, which had more titles?
|
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[
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"0",
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] |
[
"Michigan State"
] |
of those two teams, which had more titles? || how many titles did colorado college have? | how many titles did michigan state have? | which teams had at least 1 title? | what are all the names of the teams?
|
nt-9708
|
col : team | titles | runner-up | third place | fourth place | years participated row 1 : michigan | 15 | 13 | 10 | 6 | 44 row 2 : michigan state | 12 | 13 | 11 | 4 | 40 row 3 : michigan tech | 10 | 13 | 10 | 16 | 49 row 4 : western michigan | 2 | 1 | 0 | 1 | 4 row 5 : north dakota | 2 | 1 | 0 | 1 | 4 row 6 : toronto | 1 | 0 | 0 | 0 | 1 row 7 : new hampshire | 1 | 0 | 1 | 0 | 2 row 8 : colorado college | 1 | 1 | 0 | 1 | 3 row 9 : wisconsin | 1 | 1 | 1 | 0 | 3 row 10 : boston college | 1 | 0 | 3 | 0 | 4 row 11 : notre dame | 1 | 0 | 0 | 3 | 4 row 12 : boston university | 1 | 0 | 4 | 0 | 5 row 13 : harvard | 1 | 0 | 2 | 2 | 5 row 14 : maine | 0 | 1 | 0 | 0 | 1 row 15 : ohio state | 0 | 1 | 0 | 0 | 1 row 16 : rensselaer polytechnic institute | 0 | 2 | 0 | 0 | 2 row 17 : lake superior state | 0 | 1 | 1 | 1 | 3 row 18 : northern michigan | 0 | 1 | 2 | 2 | 5 row 19 : colgate | 0 | 0 | 1 | 0 | 1 row 20 : dartmouth | 0 | 0 | 1 | 0 | 1 row 21 : providence | 0 | 0 | 1 | 0 | 1 row 22 : brown | 0 | 0 | 1 | 1 | 2 row 23 : cornell | 0 | 0 | 0 | 1 | 1 row 24 : princeton | 0 | 0 | 0 | 1 | 1 row 25 : st lawrence | 0 | 0 | 0 | 1 | 1 row 26 : yale | 0 | 0 | 0 | 1 | 1 row 27 : bowling green | 0 | 0 | 0 | 2 | 2 row 28 : pennsylvania | 0 | 0 | 0 | 2 | 2 row 29 : western ontario | 0 | 0 | 0 | 2 | 2
|
table_csv/203_502.csv
| 0 |
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[
"which teams were at the great lakes invitational?"
] | 1 |
michigan, michigan state, michigan tech, western michigan, north dakota, toronto, new hampshire, colorado college, wisconsin, boston college, notre dame, boston university, harvard, maine, ohio state, rensselaer polytechnic institute, lake superior state, northern michigan, colgate, dartmouth, providence, brown, cornell, princeton, st lawrence, yale, bowling green, pennsylvania, western ontario
|
[
"Team",
"Titles",
"Runner-up",
"Third place",
"Fourth place",
"Years participated"
] |
which teams were at the great lakes invitational?
|
[
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],
[
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[
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] |
[
"Michigan",
"Michigan State",
"Michigan Tech",
"Western Michigan",
"North Dakota",
"Toronto",
"New Hampshire",
"Colorado College",
"Wisconsin",
"Boston College",
"Notre Dame",
"Boston University",
"Harvard",
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"Ohio State",
"Rensselaer Polytechnic Institute",
"Lake Superior State",
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"Dartmouth",
"Providence",
"Brown",
"Cornell",
"Princeton",
"St Lawrence",
"Yale",
"Bowling Green",
"Pennsylvania",
"Western Ontario"
] |
which teams were at the great lakes invitational? ||
|
nt-9708
|
col : team | titles | runner-up | third place | fourth place | years participated row 1 : michigan | 15 | 13 | 10 | 6 | 44 row 2 : michigan state | 12 | 13 | 11 | 4 | 40 row 3 : michigan tech | 10 | 13 | 10 | 16 | 49 row 4 : western michigan | 2 | 1 | 0 | 1 | 4 row 5 : north dakota | 2 | 1 | 0 | 1 | 4 row 6 : toronto | 1 | 0 | 0 | 0 | 1 row 7 : new hampshire | 1 | 0 | 1 | 0 | 2 row 8 : colorado college | 1 | 1 | 0 | 1 | 3 row 9 : wisconsin | 1 | 1 | 1 | 0 | 3 row 10 : boston college | 1 | 0 | 3 | 0 | 4 row 11 : notre dame | 1 | 0 | 0 | 3 | 4 row 12 : boston university | 1 | 0 | 4 | 0 | 5 row 13 : harvard | 1 | 0 | 2 | 2 | 5 row 14 : maine | 0 | 1 | 0 | 0 | 1 row 15 : ohio state | 0 | 1 | 0 | 0 | 1 row 16 : rensselaer polytechnic institute | 0 | 2 | 0 | 0 | 2 row 17 : lake superior state | 0 | 1 | 1 | 1 | 3 row 18 : northern michigan | 0 | 1 | 2 | 2 | 5 row 19 : colgate | 0 | 0 | 1 | 0 | 1 row 20 : dartmouth | 0 | 0 | 1 | 0 | 1 row 21 : providence | 0 | 0 | 1 | 0 | 1 row 22 : brown | 0 | 0 | 1 | 1 | 2 row 23 : cornell | 0 | 0 | 0 | 1 | 1 row 24 : princeton | 0 | 0 | 0 | 1 | 1 row 25 : st lawrence | 0 | 0 | 0 | 1 | 1 row 26 : yale | 0 | 0 | 0 | 1 | 1 row 27 : bowling green | 0 | 0 | 0 | 2 | 2 row 28 : pennsylvania | 0 | 0 | 0 | 2 | 2 row 29 : western ontario | 0 | 0 | 0 | 2 | 2
|
table_csv/203_502.csv
| 1 |
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|
[
"which teams were at the great lakes invitational?",
"of these, how many titles did colorado college have?"
] | 1 |
1
|
[
"Team",
"Titles",
"Runner-up",
"Third place",
"Fourth place",
"Years participated"
] |
of these, how many titles did colorado college have?
|
[
[
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"13",
"10",
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[
"Western Ontario",
"0",
"0",
"0",
"2",
"2"
]
] |
[
"1"
] |
of these, how many titles did colorado college have? || which teams were at the great lakes invitational?
|
nt-9708
|
col : team | titles | runner-up | third place | fourth place | years participated row 1 : michigan | 15 | 13 | 10 | 6 | 44 row 2 : michigan state | 12 | 13 | 11 | 4 | 40 row 3 : michigan tech | 10 | 13 | 10 | 16 | 49 row 4 : western michigan | 2 | 1 | 0 | 1 | 4 row 5 : north dakota | 2 | 1 | 0 | 1 | 4 row 6 : toronto | 1 | 0 | 0 | 0 | 1 row 7 : new hampshire | 1 | 0 | 1 | 0 | 2 row 8 : colorado college | 1 | 1 | 0 | 1 | 3 row 9 : wisconsin | 1 | 1 | 1 | 0 | 3 row 10 : boston college | 1 | 0 | 3 | 0 | 4 row 11 : notre dame | 1 | 0 | 0 | 3 | 4 row 12 : boston university | 1 | 0 | 4 | 0 | 5 row 13 : harvard | 1 | 0 | 2 | 2 | 5 row 14 : maine | 0 | 1 | 0 | 0 | 1 row 15 : ohio state | 0 | 1 | 0 | 0 | 1 row 16 : rensselaer polytechnic institute | 0 | 2 | 0 | 0 | 2 row 17 : lake superior state | 0 | 1 | 1 | 1 | 3 row 18 : northern michigan | 0 | 1 | 2 | 2 | 5 row 19 : colgate | 0 | 0 | 1 | 0 | 1 row 20 : dartmouth | 0 | 0 | 1 | 0 | 1 row 21 : providence | 0 | 0 | 1 | 0 | 1 row 22 : brown | 0 | 0 | 1 | 1 | 2 row 23 : cornell | 0 | 0 | 0 | 1 | 1 row 24 : princeton | 0 | 0 | 0 | 1 | 1 row 25 : st lawrence | 0 | 0 | 0 | 1 | 1 row 26 : yale | 0 | 0 | 0 | 1 | 1 row 27 : bowling green | 0 | 0 | 0 | 2 | 2 row 28 : pennsylvania | 0 | 0 | 0 | 2 | 2 row 29 : western ontario | 0 | 0 | 0 | 2 | 2
|
table_csv/203_502.csv
| 2 |
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|
[
"which teams were at the great lakes invitational?",
"of these, how many titles did colorado college have?",
"how many titles did michigan state have?"
] | 1 |
12
|
[
"Team",
"Titles",
"Runner-up",
"Third place",
"Fourth place",
"Years participated"
] |
how many titles did michigan state have?
|
[
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[
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"1",
"0",
"0",
"1"
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"2",
"0",
"0",
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[
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"1"
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"2",
"2"
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[
"Western Ontario",
"0",
"0",
"0",
"2",
"2"
]
] |
[
"12"
] |
how many titles did michigan state have? || of these, how many titles did colorado college have? | which teams were at the great lakes invitational?
|
nt-9708
|
col : team | titles | runner-up | third place | fourth place | years participated row 1 : michigan | 15 | 13 | 10 | 6 | 44 row 2 : michigan state | 12 | 13 | 11 | 4 | 40 row 3 : michigan tech | 10 | 13 | 10 | 16 | 49 row 4 : western michigan | 2 | 1 | 0 | 1 | 4 row 5 : north dakota | 2 | 1 | 0 | 1 | 4 row 6 : toronto | 1 | 0 | 0 | 0 | 1 row 7 : new hampshire | 1 | 0 | 1 | 0 | 2 row 8 : colorado college | 1 | 1 | 0 | 1 | 3 row 9 : wisconsin | 1 | 1 | 1 | 0 | 3 row 10 : boston college | 1 | 0 | 3 | 0 | 4 row 11 : notre dame | 1 | 0 | 0 | 3 | 4 row 12 : boston university | 1 | 0 | 4 | 0 | 5 row 13 : harvard | 1 | 0 | 2 | 2 | 5 row 14 : maine | 0 | 1 | 0 | 0 | 1 row 15 : ohio state | 0 | 1 | 0 | 0 | 1 row 16 : rensselaer polytechnic institute | 0 | 2 | 0 | 0 | 2 row 17 : lake superior state | 0 | 1 | 1 | 1 | 3 row 18 : northern michigan | 0 | 1 | 2 | 2 | 5 row 19 : colgate | 0 | 0 | 1 | 0 | 1 row 20 : dartmouth | 0 | 0 | 1 | 0 | 1 row 21 : providence | 0 | 0 | 1 | 0 | 1 row 22 : brown | 0 | 0 | 1 | 1 | 2 row 23 : cornell | 0 | 0 | 0 | 1 | 1 row 24 : princeton | 0 | 0 | 0 | 1 | 1 row 25 : st lawrence | 0 | 0 | 0 | 1 | 1 row 26 : yale | 0 | 0 | 0 | 1 | 1 row 27 : bowling green | 0 | 0 | 0 | 2 | 2 row 28 : pennsylvania | 0 | 0 | 0 | 2 | 2 row 29 : western ontario | 0 | 0 | 0 | 2 | 2
|
table_csv/203_502.csv
| 3 |
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[
"which teams were at the great lakes invitational?",
"of these, how many titles did colorado college have?",
"how many titles did michigan state have?",
"did michigan state or colorado college have more titles?"
] | 1 |
michigan state
|
[
"Team",
"Titles",
"Runner-up",
"Third place",
"Fourth place",
"Years participated"
] |
did michigan state or colorado college have more titles?
|
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[
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[
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"0",
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"2",
"2"
],
[
"Western Ontario",
"0",
"0",
"0",
"2",
"2"
]
] |
[
"Michigan State"
] |
did michigan state or colorado college have more titles? || how many titles did michigan state have? | of these, how many titles did colorado college have? | which teams were at the great lakes invitational?
|
nt-9708
|
col : team | titles | runner-up | third place | fourth place | years participated row 1 : michigan | 15 | 13 | 10 | 6 | 44 row 2 : michigan state | 12 | 13 | 11 | 4 | 40 row 3 : michigan tech | 10 | 13 | 10 | 16 | 49 row 4 : western michigan | 2 | 1 | 0 | 1 | 4 row 5 : north dakota | 2 | 1 | 0 | 1 | 4 row 6 : toronto | 1 | 0 | 0 | 0 | 1 row 7 : new hampshire | 1 | 0 | 1 | 0 | 2 row 8 : colorado college | 1 | 1 | 0 | 1 | 3 row 9 : wisconsin | 1 | 1 | 1 | 0 | 3 row 10 : boston college | 1 | 0 | 3 | 0 | 4 row 11 : notre dame | 1 | 0 | 0 | 3 | 4 row 12 : boston university | 1 | 0 | 4 | 0 | 5 row 13 : harvard | 1 | 0 | 2 | 2 | 5 row 14 : maine | 0 | 1 | 0 | 0 | 1 row 15 : ohio state | 0 | 1 | 0 | 0 | 1 row 16 : rensselaer polytechnic institute | 0 | 2 | 0 | 0 | 2 row 17 : lake superior state | 0 | 1 | 1 | 1 | 3 row 18 : northern michigan | 0 | 1 | 2 | 2 | 5 row 19 : colgate | 0 | 0 | 1 | 0 | 1 row 20 : dartmouth | 0 | 0 | 1 | 0 | 1 row 21 : providence | 0 | 0 | 1 | 0 | 1 row 22 : brown | 0 | 0 | 1 | 1 | 2 row 23 : cornell | 0 | 0 | 0 | 1 | 1 row 24 : princeton | 0 | 0 | 0 | 1 | 1 row 25 : st lawrence | 0 | 0 | 0 | 1 | 1 row 26 : yale | 0 | 0 | 0 | 1 | 1 row 27 : bowling green | 0 | 0 | 0 | 2 | 2 row 28 : pennsylvania | 0 | 0 | 0 | 2 | 2 row 29 : western ontario | 0 | 0 | 0 | 2 | 2
|
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[
"what were all of the teams?"
] | 2 |
michigan, michigan state, michigan tech, western michigan, north dakota, toronto, new hampshire, colorado college, wisconsin, boston college, notre dame, boston university, harvard, maine, ohio state, rensselaer polytechnic institute, lake superior state, northern michigan, colgate, dartmouth, providence, brown, cornell, princeton, st lawrence, yale, bowling green, pennsylvania, western ontario
|
[
"Team",
"Titles",
"Runner-up",
"Third place",
"Fourth place",
"Years participated"
] |
what were all of the teams?
|
[
[
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"15",
"13",
"10",
"6",
"44"
],
[
"Michigan State",
"12",
"13",
"11",
"4",
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],
[
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"10",
"13",
"10",
"16",
"49"
],
[
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"1",
"0",
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"4"
],
[
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"1",
"0",
"1",
"4"
],
[
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"0",
"0",
"0",
"1"
],
[
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"0",
"1",
"0",
"2"
],
[
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"1",
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"1",
"3"
],
[
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"1",
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[
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[
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[
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[
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[
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[
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[
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[
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"0",
"0",
"0",
"2",
"2"
],
[
"Pennsylvania",
"0",
"0",
"0",
"2",
"2"
],
[
"Western Ontario",
"0",
"0",
"0",
"2",
"2"
]
] |
[
"Michigan",
"Michigan State",
"Michigan Tech",
"Western Michigan",
"North Dakota",
"Toronto",
"New Hampshire",
"Colorado College",
"Wisconsin",
"Boston College",
"Notre Dame",
"Boston University",
"Harvard",
"Maine",
"Ohio State",
"Rensselaer Polytechnic Institute",
"Lake Superior State",
"Northern Michigan",
"Colgate",
"Dartmouth",
"Providence",
"Brown",
"Cornell",
"Princeton",
"St Lawrence",
"Yale",
"Bowling Green",
"Pennsylvania",
"Western Ontario"
] |
what were all of the teams? ||
|
nt-9708
|
col : team | titles | runner-up | third place | fourth place | years participated row 1 : michigan | 15 | 13 | 10 | 6 | 44 row 2 : michigan state | 12 | 13 | 11 | 4 | 40 row 3 : michigan tech | 10 | 13 | 10 | 16 | 49 row 4 : western michigan | 2 | 1 | 0 | 1 | 4 row 5 : north dakota | 2 | 1 | 0 | 1 | 4 row 6 : toronto | 1 | 0 | 0 | 0 | 1 row 7 : new hampshire | 1 | 0 | 1 | 0 | 2 row 8 : colorado college | 1 | 1 | 0 | 1 | 3 row 9 : wisconsin | 1 | 1 | 1 | 0 | 3 row 10 : boston college | 1 | 0 | 3 | 0 | 4 row 11 : notre dame | 1 | 0 | 0 | 3 | 4 row 12 : boston university | 1 | 0 | 4 | 0 | 5 row 13 : harvard | 1 | 0 | 2 | 2 | 5 row 14 : maine | 0 | 1 | 0 | 0 | 1 row 15 : ohio state | 0 | 1 | 0 | 0 | 1 row 16 : rensselaer polytechnic institute | 0 | 2 | 0 | 0 | 2 row 17 : lake superior state | 0 | 1 | 1 | 1 | 3 row 18 : northern michigan | 0 | 1 | 2 | 2 | 5 row 19 : colgate | 0 | 0 | 1 | 0 | 1 row 20 : dartmouth | 0 | 0 | 1 | 0 | 1 row 21 : providence | 0 | 0 | 1 | 0 | 1 row 22 : brown | 0 | 0 | 1 | 1 | 2 row 23 : cornell | 0 | 0 | 0 | 1 | 1 row 24 : princeton | 0 | 0 | 0 | 1 | 1 row 25 : st lawrence | 0 | 0 | 0 | 1 | 1 row 26 : yale | 0 | 0 | 0 | 1 | 1 row 27 : bowling green | 0 | 0 | 0 | 2 | 2 row 28 : pennsylvania | 0 | 0 | 0 | 2 | 2 row 29 : western ontario | 0 | 0 | 0 | 2 | 2
|
table_csv/203_502.csv
| 1 |
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|
[
"what were all of the teams?",
"how many titles did they have?"
] | 2 |
15, 12, 10, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
|
[
"Team",
"Titles",
"Runner-up",
"Third place",
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"Years participated"
] |
how many titles did they have?
|
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[
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[
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[
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],
[
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"0",
"0",
"0",
"2",
"2"
],
[
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"0",
"0",
"0",
"2",
"2"
],
[
"Western Ontario",
"0",
"0",
"0",
"2",
"2"
]
] |
[
"15",
"12",
"10",
"2",
"2",
"1",
"1",
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"1",
"1",
"1",
"1",
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"0",
"0",
"0",
"0",
"0",
"0",
"0",
"0",
"0",
"0"
] |
how many titles did they have? || what were all of the teams?
|
nt-9708
|
col : team | titles | runner-up | third place | fourth place | years participated row 1 : michigan | 15 | 13 | 10 | 6 | 44 row 2 : michigan state | 12 | 13 | 11 | 4 | 40 row 3 : michigan tech | 10 | 13 | 10 | 16 | 49 row 4 : western michigan | 2 | 1 | 0 | 1 | 4 row 5 : north dakota | 2 | 1 | 0 | 1 | 4 row 6 : toronto | 1 | 0 | 0 | 0 | 1 row 7 : new hampshire | 1 | 0 | 1 | 0 | 2 row 8 : colorado college | 1 | 1 | 0 | 1 | 3 row 9 : wisconsin | 1 | 1 | 1 | 0 | 3 row 10 : boston college | 1 | 0 | 3 | 0 | 4 row 11 : notre dame | 1 | 0 | 0 | 3 | 4 row 12 : boston university | 1 | 0 | 4 | 0 | 5 row 13 : harvard | 1 | 0 | 2 | 2 | 5 row 14 : maine | 0 | 1 | 0 | 0 | 1 row 15 : ohio state | 0 | 1 | 0 | 0 | 1 row 16 : rensselaer polytechnic institute | 0 | 2 | 0 | 0 | 2 row 17 : lake superior state | 0 | 1 | 1 | 1 | 3 row 18 : northern michigan | 0 | 1 | 2 | 2 | 5 row 19 : colgate | 0 | 0 | 1 | 0 | 1 row 20 : dartmouth | 0 | 0 | 1 | 0 | 1 row 21 : providence | 0 | 0 | 1 | 0 | 1 row 22 : brown | 0 | 0 | 1 | 1 | 2 row 23 : cornell | 0 | 0 | 0 | 1 | 1 row 24 : princeton | 0 | 0 | 0 | 1 | 1 row 25 : st lawrence | 0 | 0 | 0 | 1 | 1 row 26 : yale | 0 | 0 | 0 | 1 | 1 row 27 : bowling green | 0 | 0 | 0 | 2 | 2 row 28 : pennsylvania | 0 | 0 | 0 | 2 | 2 row 29 : western ontario | 0 | 0 | 0 | 2 | 2
|
table_csv/203_502.csv
| 2 |
{
"column_index": [
0
],
"row_index": [
1
]
}
|
[
"what were all of the teams?",
"how many titles did they have?",
"and between michigan state and colorado college, which team had more titles?"
] | 2 |
michigan state
|
[
"Team",
"Titles",
"Runner-up",
"Third place",
"Fourth place",
"Years participated"
] |
and between michigan state and colorado college, which team had more titles?
|
[
[
"Michigan",
"15",
"13",
"10",
"6",
"44"
],
[
"Michigan State",
"12",
"13",
"11",
"4",
"40"
],
[
"Michigan Tech",
"10",
"13",
"10",
"16",
"49"
],
[
"Western Michigan",
"2",
"1",
"0",
"1",
"4"
],
[
"North Dakota",
"2",
"1",
"0",
"1",
"4"
],
[
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"1",
"0",
"0",
"0",
"1"
],
[
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"1",
"0",
"1",
"0",
"2"
],
[
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"1",
"1",
"0",
"1",
"3"
],
[
"Wisconsin",
"1",
"1",
"1",
"0",
"3"
],
[
"Boston College",
"1",
"0",
"3",
"0",
"4"
],
[
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"1",
"0",
"0",
"3",
"4"
],
[
"Boston University",
"1",
"0",
"4",
"0",
"5"
],
[
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"1",
"0",
"2",
"2",
"5"
],
[
"Maine",
"0",
"1",
"0",
"0",
"1"
],
[
"Ohio State",
"0",
"1",
"0",
"0",
"1"
],
[
"Rensselaer Polytechnic Institute",
"0",
"2",
"0",
"0",
"2"
],
[
"Lake Superior State",
"0",
"1",
"1",
"1",
"3"
],
[
"Northern Michigan",
"0",
"1",
"2",
"2",
"5"
],
[
"Colgate",
"0",
"0",
"1",
"0",
"1"
],
[
"Dartmouth",
"0",
"0",
"1",
"0",
"1"
],
[
"Providence",
"0",
"0",
"1",
"0",
"1"
],
[
"Brown",
"0",
"0",
"1",
"1",
"2"
],
[
"Cornell",
"0",
"0",
"0",
"1",
"1"
],
[
"Princeton",
"0",
"0",
"0",
"1",
"1"
],
[
"St Lawrence",
"0",
"0",
"0",
"1",
"1"
],
[
"Yale",
"0",
"0",
"0",
"1",
"1"
],
[
"Bowling Green",
"0",
"0",
"0",
"2",
"2"
],
[
"Pennsylvania",
"0",
"0",
"0",
"2",
"2"
],
[
"Western Ontario",
"0",
"0",
"0",
"2",
"2"
]
] |
[
"Michigan State"
] |
and between michigan state and colorado college, which team had more titles? || how many titles did they have? | what were all of the teams?
|
nt-7940
|
col : # | name | office | political party | occupation row 1 : 1 | ole olsen stromme | 1886-1901 | nan | church bell ringer row 2 : 2 | peder olai kleppe | 1902-1919 | nan | fisherman row 3 : 3 | olai naustheller | 1920-1925 | nan | farmer row 4 : 4 | mikkel nilsen birkeland | 1926-1935 | nan | farmer row 5 : 5 | magnus larssen | 1935-1937 | nan | school teacher row 6 : 6 | salomon o. fagerbakke | 1938-1945 | nan | fisherman row 7 : 7 | salomon v. kalvenes | 1946-1959 | nan | fisherman row 8 : 8 | rikard s. storebo | 1960-1969 | liberal party | social security manager row 9 : 9 | peder kalve | 1970-1975 | conservative party | maritime pilot row 10 : 10 | magnus stangeland | 1976-1981 | centre party | school principal row 11 : 11 | knut k. kalvenes | 1982-1985 | conservative party | retailer row 12 : 12 | hallvard mogster | 1986-1989 | christian democratic party | captain row 13 : 13 | inge bjarne storebo | 1990-2001 | conservative party | bank manager row 14 : 14 | olav p. arland | 2001-2003 | christian democratic party | shipmaster row 15 : 15 | helge andre njastad | 2003- | progress party | student
|
table_csv/201_10.csv
| 0 |
{
"column_index": [
1
],
"row_index": [
14
]
}
|
[
"who was the 15th mayor?"
] | 0 |
helge andre njastad
|
[
"#",
"Name",
"Office",
"Political Party",
"Occupation"
] |
who was the 15th mayor?
|
[
[
"1",
"Ole Olsen Stromme",
"1886-1901",
"nan",
"Church bell ringer"
],
[
"2",
"Peder Olai Kleppe",
"1902-1919",
"nan",
"Fisherman"
],
[
"3",
"Olai Naustheller",
"1920-1925",
"nan",
"Farmer"
],
[
"4",
"Mikkel Nilsen Birkeland",
"1926-1935",
"nan",
"Farmer"
],
[
"5",
"Magnus Larssen",
"1935-1937",
"nan",
"School teacher"
],
[
"6",
"Salomon O. Fagerbakke",
"1938-1945",
"nan",
"Fisherman"
],
[
"7",
"Salomon V. Kalvenes",
"1946-1959",
"nan",
"Fisherman"
],
[
"8",
"Rikard S. Storebo",
"1960-1969",
"Liberal Party",
"Social security manager"
],
[
"9",
"Peder Kalve",
"1970-1975",
"Conservative Party",
"Maritime pilot"
],
[
"10",
"Magnus Stangeland",
"1976-1981",
"Centre Party",
"School principal"
],
[
"11",
"Knut K. Kalvenes",
"1982-1985",
"Conservative Party",
"Retailer"
],
[
"12",
"Hallvard Mogster",
"1986-1989",
"Christian Democratic Party",
"Captain"
],
[
"13",
"Inge Bjarne Storebo",
"1990-2001",
"Conservative Party",
"Bank manager"
],
[
"14",
"Olav P. Arland",
"2001-2003",
"Christian Democratic Party",
"Shipmaster"
],
[
"15",
"Helge Andre Njastad",
"2003-",
"Progress Party",
"Student"
]
] |
[
"Helge Andre Njastad"
] |
who was the 15th mayor? ||
|
nt-7940
|
col : # | name | office | political party | occupation row 1 : 1 | ole olsen stromme | 1886-1901 | nan | church bell ringer row 2 : 2 | peder olai kleppe | 1902-1919 | nan | fisherman row 3 : 3 | olai naustheller | 1920-1925 | nan | farmer row 4 : 4 | mikkel nilsen birkeland | 1926-1935 | nan | farmer row 5 : 5 | magnus larssen | 1935-1937 | nan | school teacher row 6 : 6 | salomon o. fagerbakke | 1938-1945 | nan | fisherman row 7 : 7 | salomon v. kalvenes | 1946-1959 | nan | fisherman row 8 : 8 | rikard s. storebo | 1960-1969 | liberal party | social security manager row 9 : 9 | peder kalve | 1970-1975 | conservative party | maritime pilot row 10 : 10 | magnus stangeland | 1976-1981 | centre party | school principal row 11 : 11 | knut k. kalvenes | 1982-1985 | conservative party | retailer row 12 : 12 | hallvard mogster | 1986-1989 | christian democratic party | captain row 13 : 13 | inge bjarne storebo | 1990-2001 | conservative party | bank manager row 14 : 14 | olav p. arland | 2001-2003 | christian democratic party | shipmaster row 15 : 15 | helge andre njastad | 2003- | progress party | student
|
table_csv/201_10.csv
| 1 |
{
"column_index": [
3
],
"row_index": [
14
]
}
|
[
"who was the 15th mayor?",
"what party did njastad belong to?"
] | 0 |
progress party
|
[
"#",
"Name",
"Office",
"Political Party",
"Occupation"
] |
what party did njastad belong to?
|
[
[
"1",
"Ole Olsen Stromme",
"1886-1901",
"nan",
"Church bell ringer"
],
[
"2",
"Peder Olai Kleppe",
"1902-1919",
"nan",
"Fisherman"
],
[
"3",
"Olai Naustheller",
"1920-1925",
"nan",
"Farmer"
],
[
"4",
"Mikkel Nilsen Birkeland",
"1926-1935",
"nan",
"Farmer"
],
[
"5",
"Magnus Larssen",
"1935-1937",
"nan",
"School teacher"
],
[
"6",
"Salomon O. Fagerbakke",
"1938-1945",
"nan",
"Fisherman"
],
[
"7",
"Salomon V. Kalvenes",
"1946-1959",
"nan",
"Fisherman"
],
[
"8",
"Rikard S. Storebo",
"1960-1969",
"Liberal Party",
"Social security manager"
],
[
"9",
"Peder Kalve",
"1970-1975",
"Conservative Party",
"Maritime pilot"
],
[
"10",
"Magnus Stangeland",
"1976-1981",
"Centre Party",
"School principal"
],
[
"11",
"Knut K. Kalvenes",
"1982-1985",
"Conservative Party",
"Retailer"
],
[
"12",
"Hallvard Mogster",
"1986-1989",
"Christian Democratic Party",
"Captain"
],
[
"13",
"Inge Bjarne Storebo",
"1990-2001",
"Conservative Party",
"Bank manager"
],
[
"14",
"Olav P. Arland",
"2001-2003",
"Christian Democratic Party",
"Shipmaster"
],
[
"15",
"Helge Andre Njastad",
"2003-",
"Progress Party",
"Student"
]
] |
[
"Progress Party"
] |
what party did njastad belong to? || who was the 15th mayor?
|
nt-7940
|
col : # | name | office | political party | occupation row 1 : 1 | ole olsen stromme | 1886-1901 | nan | church bell ringer row 2 : 2 | peder olai kleppe | 1902-1919 | nan | fisherman row 3 : 3 | olai naustheller | 1920-1925 | nan | farmer row 4 : 4 | mikkel nilsen birkeland | 1926-1935 | nan | farmer row 5 : 5 | magnus larssen | 1935-1937 | nan | school teacher row 6 : 6 | salomon o. fagerbakke | 1938-1945 | nan | fisherman row 7 : 7 | salomon v. kalvenes | 1946-1959 | nan | fisherman row 8 : 8 | rikard s. storebo | 1960-1969 | liberal party | social security manager row 9 : 9 | peder kalve | 1970-1975 | conservative party | maritime pilot row 10 : 10 | magnus stangeland | 1976-1981 | centre party | school principal row 11 : 11 | knut k. kalvenes | 1982-1985 | conservative party | retailer row 12 : 12 | hallvard mogster | 1986-1989 | christian democratic party | captain row 13 : 13 | inge bjarne storebo | 1990-2001 | conservative party | bank manager row 14 : 14 | olav p. arland | 2001-2003 | christian democratic party | shipmaster row 15 : 15 | helge andre njastad | 2003- | progress party | student
|
table_csv/201_10.csv
| 0 |
{
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
7,
8,
9,
10,
11,
12,
13,
14
]
}
|
[
"what mayors have a political party listed?"
] | 1 |
rikard s. storebo, peder kalve, magnus stangeland, knut k. kalvenes, hallvard mogster, inge bjarne storebo, olav p. arland, helge andre njastad
|
[
"#",
"Name",
"Office",
"Political Party",
"Occupation"
] |
what mayors have a political party listed?
|
[
[
"1",
"Ole Olsen Stromme",
"1886-1901",
"nan",
"Church bell ringer"
],
[
"2",
"Peder Olai Kleppe",
"1902-1919",
"nan",
"Fisherman"
],
[
"3",
"Olai Naustheller",
"1920-1925",
"nan",
"Farmer"
],
[
"4",
"Mikkel Nilsen Birkeland",
"1926-1935",
"nan",
"Farmer"
],
[
"5",
"Magnus Larssen",
"1935-1937",
"nan",
"School teacher"
],
[
"6",
"Salomon O. Fagerbakke",
"1938-1945",
"nan",
"Fisherman"
],
[
"7",
"Salomon V. Kalvenes",
"1946-1959",
"nan",
"Fisherman"
],
[
"8",
"Rikard S. Storebo",
"1960-1969",
"Liberal Party",
"Social security manager"
],
[
"9",
"Peder Kalve",
"1970-1975",
"Conservative Party",
"Maritime pilot"
],
[
"10",
"Magnus Stangeland",
"1976-1981",
"Centre Party",
"School principal"
],
[
"11",
"Knut K. Kalvenes",
"1982-1985",
"Conservative Party",
"Retailer"
],
[
"12",
"Hallvard Mogster",
"1986-1989",
"Christian Democratic Party",
"Captain"
],
[
"13",
"Inge Bjarne Storebo",
"1990-2001",
"Conservative Party",
"Bank manager"
],
[
"14",
"Olav P. Arland",
"2001-2003",
"Christian Democratic Party",
"Shipmaster"
],
[
"15",
"Helge Andre Njastad",
"2003-",
"Progress Party",
"Student"
]
] |
[
"Rikard S. Storebo",
"Peder Kalve",
"Magnus Stangeland",
"Knut K. Kalvenes",
"Hallvard Mogster",
"Inge Bjarne Storebo",
"Olav P. Arland",
"Helge Andre Njastad"
] |
what mayors have a political party listed? ||
|
nt-7940
|
col : # | name | office | political party | occupation row 1 : 1 | ole olsen stromme | 1886-1901 | nan | church bell ringer row 2 : 2 | peder olai kleppe | 1902-1919 | nan | fisherman row 3 : 3 | olai naustheller | 1920-1925 | nan | farmer row 4 : 4 | mikkel nilsen birkeland | 1926-1935 | nan | farmer row 5 : 5 | magnus larssen | 1935-1937 | nan | school teacher row 6 : 6 | salomon o. fagerbakke | 1938-1945 | nan | fisherman row 7 : 7 | salomon v. kalvenes | 1946-1959 | nan | fisherman row 8 : 8 | rikard s. storebo | 1960-1969 | liberal party | social security manager row 9 : 9 | peder kalve | 1970-1975 | conservative party | maritime pilot row 10 : 10 | magnus stangeland | 1976-1981 | centre party | school principal row 11 : 11 | knut k. kalvenes | 1982-1985 | conservative party | retailer row 12 : 12 | hallvard mogster | 1986-1989 | christian democratic party | captain row 13 : 13 | inge bjarne storebo | 1990-2001 | conservative party | bank manager row 14 : 14 | olav p. arland | 2001-2003 | christian democratic party | shipmaster row 15 : 15 | helge andre njastad | 2003- | progress party | student
|
table_csv/201_10.csv
| 1 |
{
"column_index": [
1,
1
],
"row_index": [
9,
14
]
}
|
[
"what mayors have a political party listed?",
"which of these list an occupations that is in in any way school related?"
] | 1 |
magnus stangeland, helge andre njastad
|
[
"#",
"Name",
"Office",
"Political Party",
"Occupation"
] |
which of these list an occupations that is in in any way school related?
|
[
[
"1",
"Ole Olsen Stromme",
"1886-1901",
"nan",
"Church bell ringer"
],
[
"2",
"Peder Olai Kleppe",
"1902-1919",
"nan",
"Fisherman"
],
[
"3",
"Olai Naustheller",
"1920-1925",
"nan",
"Farmer"
],
[
"4",
"Mikkel Nilsen Birkeland",
"1926-1935",
"nan",
"Farmer"
],
[
"5",
"Magnus Larssen",
"1935-1937",
"nan",
"School teacher"
],
[
"6",
"Salomon O. Fagerbakke",
"1938-1945",
"nan",
"Fisherman"
],
[
"7",
"Salomon V. Kalvenes",
"1946-1959",
"nan",
"Fisherman"
],
[
"8",
"Rikard S. Storebo",
"1960-1969",
"Liberal Party",
"Social security manager"
],
[
"9",
"Peder Kalve",
"1970-1975",
"Conservative Party",
"Maritime pilot"
],
[
"10",
"Magnus Stangeland",
"1976-1981",
"Centre Party",
"School principal"
],
[
"11",
"Knut K. Kalvenes",
"1982-1985",
"Conservative Party",
"Retailer"
],
[
"12",
"Hallvard Mogster",
"1986-1989",
"Christian Democratic Party",
"Captain"
],
[
"13",
"Inge Bjarne Storebo",
"1990-2001",
"Conservative Party",
"Bank manager"
],
[
"14",
"Olav P. Arland",
"2001-2003",
"Christian Democratic Party",
"Shipmaster"
],
[
"15",
"Helge Andre Njastad",
"2003-",
"Progress Party",
"Student"
]
] |
[
"Magnus Stangeland",
"Helge Andre Njastad"
] |
which of these list an occupations that is in in any way school related? || what mayors have a political party listed?
|
nt-7940
|
col : # | name | office | political party | occupation row 1 : 1 | ole olsen stromme | 1886-1901 | nan | church bell ringer row 2 : 2 | peder olai kleppe | 1902-1919 | nan | fisherman row 3 : 3 | olai naustheller | 1920-1925 | nan | farmer row 4 : 4 | mikkel nilsen birkeland | 1926-1935 | nan | farmer row 5 : 5 | magnus larssen | 1935-1937 | nan | school teacher row 6 : 6 | salomon o. fagerbakke | 1938-1945 | nan | fisherman row 7 : 7 | salomon v. kalvenes | 1946-1959 | nan | fisherman row 8 : 8 | rikard s. storebo | 1960-1969 | liberal party | social security manager row 9 : 9 | peder kalve | 1970-1975 | conservative party | maritime pilot row 10 : 10 | magnus stangeland | 1976-1981 | centre party | school principal row 11 : 11 | knut k. kalvenes | 1982-1985 | conservative party | retailer row 12 : 12 | hallvard mogster | 1986-1989 | christian democratic party | captain row 13 : 13 | inge bjarne storebo | 1990-2001 | conservative party | bank manager row 14 : 14 | olav p. arland | 2001-2003 | christian democratic party | shipmaster row 15 : 15 | helge andre njastad | 2003- | progress party | student
|
table_csv/201_10.csv
| 2 |
{
"column_index": [
3
],
"row_index": [
14
]
}
|
[
"what mayors have a political party listed?",
"which of these list an occupations that is in in any way school related?",
"what is the political party of the one of these mayors whose occupation is not an authority figure?"
] | 1 |
progress party
|
[
"#",
"Name",
"Office",
"Political Party",
"Occupation"
] |
what is the political party of the one of these mayors whose occupation is not an authority figure?
|
[
[
"1",
"Ole Olsen Stromme",
"1886-1901",
"nan",
"Church bell ringer"
],
[
"2",
"Peder Olai Kleppe",
"1902-1919",
"nan",
"Fisherman"
],
[
"3",
"Olai Naustheller",
"1920-1925",
"nan",
"Farmer"
],
[
"4",
"Mikkel Nilsen Birkeland",
"1926-1935",
"nan",
"Farmer"
],
[
"5",
"Magnus Larssen",
"1935-1937",
"nan",
"School teacher"
],
[
"6",
"Salomon O. Fagerbakke",
"1938-1945",
"nan",
"Fisherman"
],
[
"7",
"Salomon V. Kalvenes",
"1946-1959",
"nan",
"Fisherman"
],
[
"8",
"Rikard S. Storebo",
"1960-1969",
"Liberal Party",
"Social security manager"
],
[
"9",
"Peder Kalve",
"1970-1975",
"Conservative Party",
"Maritime pilot"
],
[
"10",
"Magnus Stangeland",
"1976-1981",
"Centre Party",
"School principal"
],
[
"11",
"Knut K. Kalvenes",
"1982-1985",
"Conservative Party",
"Retailer"
],
[
"12",
"Hallvard Mogster",
"1986-1989",
"Christian Democratic Party",
"Captain"
],
[
"13",
"Inge Bjarne Storebo",
"1990-2001",
"Conservative Party",
"Bank manager"
],
[
"14",
"Olav P. Arland",
"2001-2003",
"Christian Democratic Party",
"Shipmaster"
],
[
"15",
"Helge Andre Njastad",
"2003-",
"Progress Party",
"Student"
]
] |
[
"Progress Party"
] |
what is the political party of the one of these mayors whose occupation is not an authority figure? || which of these list an occupations that is in in any way school related? | what mayors have a political party listed?
|
nt-7940
|
col : # | name | office | political party | occupation row 1 : 1 | ole olsen stromme | 1886-1901 | nan | church bell ringer row 2 : 2 | peder olai kleppe | 1902-1919 | nan | fisherman row 3 : 3 | olai naustheller | 1920-1925 | nan | farmer row 4 : 4 | mikkel nilsen birkeland | 1926-1935 | nan | farmer row 5 : 5 | magnus larssen | 1935-1937 | nan | school teacher row 6 : 6 | salomon o. fagerbakke | 1938-1945 | nan | fisherman row 7 : 7 | salomon v. kalvenes | 1946-1959 | nan | fisherman row 8 : 8 | rikard s. storebo | 1960-1969 | liberal party | social security manager row 9 : 9 | peder kalve | 1970-1975 | conservative party | maritime pilot row 10 : 10 | magnus stangeland | 1976-1981 | centre party | school principal row 11 : 11 | knut k. kalvenes | 1982-1985 | conservative party | retailer row 12 : 12 | hallvard mogster | 1986-1989 | christian democratic party | captain row 13 : 13 | inge bjarne storebo | 1990-2001 | conservative party | bank manager row 14 : 14 | olav p. arland | 2001-2003 | christian democratic party | shipmaster row 15 : 15 | helge andre njastad | 2003- | progress party | student
|
table_csv/201_10.csv
| 0 |
{
"column_index": [
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
]
}
|
[
"who are the mayors?"
] | 2 |
ole olsen stromme, peder olai kleppe, olai naustheller, mikkel nilsen birkeland, magnus larssen, salomon o. fagerbakke, salomon v. kalvenes, rikard s. storebo, peder kalve, magnus stangeland, knut k. kalvenes, hallvard mogster, inge bjarne storebo, olav p. arland, helge andre njastad
|
[
"#",
"Name",
"Office",
"Political Party",
"Occupation"
] |
who are the mayors?
|
[
[
"1",
"Ole Olsen Stromme",
"1886-1901",
"nan",
"Church bell ringer"
],
[
"2",
"Peder Olai Kleppe",
"1902-1919",
"nan",
"Fisherman"
],
[
"3",
"Olai Naustheller",
"1920-1925",
"nan",
"Farmer"
],
[
"4",
"Mikkel Nilsen Birkeland",
"1926-1935",
"nan",
"Farmer"
],
[
"5",
"Magnus Larssen",
"1935-1937",
"nan",
"School teacher"
],
[
"6",
"Salomon O. Fagerbakke",
"1938-1945",
"nan",
"Fisherman"
],
[
"7",
"Salomon V. Kalvenes",
"1946-1959",
"nan",
"Fisherman"
],
[
"8",
"Rikard S. Storebo",
"1960-1969",
"Liberal Party",
"Social security manager"
],
[
"9",
"Peder Kalve",
"1970-1975",
"Conservative Party",
"Maritime pilot"
],
[
"10",
"Magnus Stangeland",
"1976-1981",
"Centre Party",
"School principal"
],
[
"11",
"Knut K. Kalvenes",
"1982-1985",
"Conservative Party",
"Retailer"
],
[
"12",
"Hallvard Mogster",
"1986-1989",
"Christian Democratic Party",
"Captain"
],
[
"13",
"Inge Bjarne Storebo",
"1990-2001",
"Conservative Party",
"Bank manager"
],
[
"14",
"Olav P. Arland",
"2001-2003",
"Christian Democratic Party",
"Shipmaster"
],
[
"15",
"Helge Andre Njastad",
"2003-",
"Progress Party",
"Student"
]
] |
[
"Ole Olsen Stromme",
"Peder Olai Kleppe",
"Olai Naustheller",
"Mikkel Nilsen Birkeland",
"Magnus Larssen",
"Salomon O. Fagerbakke",
"Salomon V. Kalvenes",
"Rikard S. Storebo",
"Peder Kalve",
"Magnus Stangeland",
"Knut K. Kalvenes",
"Hallvard Mogster",
"Inge Bjarne Storebo",
"Olav P. Arland",
"Helge Andre Njastad"
] |
who are the mayors? ||
|
nt-7940
|
col : # | name | office | political party | occupation row 1 : 1 | ole olsen stromme | 1886-1901 | nan | church bell ringer row 2 : 2 | peder olai kleppe | 1902-1919 | nan | fisherman row 3 : 3 | olai naustheller | 1920-1925 | nan | farmer row 4 : 4 | mikkel nilsen birkeland | 1926-1935 | nan | farmer row 5 : 5 | magnus larssen | 1935-1937 | nan | school teacher row 6 : 6 | salomon o. fagerbakke | 1938-1945 | nan | fisherman row 7 : 7 | salomon v. kalvenes | 1946-1959 | nan | fisherman row 8 : 8 | rikard s. storebo | 1960-1969 | liberal party | social security manager row 9 : 9 | peder kalve | 1970-1975 | conservative party | maritime pilot row 10 : 10 | magnus stangeland | 1976-1981 | centre party | school principal row 11 : 11 | knut k. kalvenes | 1982-1985 | conservative party | retailer row 12 : 12 | hallvard mogster | 1986-1989 | christian democratic party | captain row 13 : 13 | inge bjarne storebo | 1990-2001 | conservative party | bank manager row 14 : 14 | olav p. arland | 2001-2003 | christian democratic party | shipmaster row 15 : 15 | helge andre njastad | 2003- | progress party | student
|
table_csv/201_10.csv
| 1 |
{
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
7,
8,
9,
10,
11,
12,
13,
14
]
}
|
[
"who are the mayors?",
"which note political parties?"
] | 2 |
rikard s. storebo, peder kalve, magnus stangeland, knut k. kalvenes, hallvard mogster, inge bjarne storebo, olav p. arland, helge andre njastad
|
[
"#",
"Name",
"Office",
"Political Party",
"Occupation"
] |
which note political parties?
|
[
[
"1",
"Ole Olsen Stromme",
"1886-1901",
"nan",
"Church bell ringer"
],
[
"2",
"Peder Olai Kleppe",
"1902-1919",
"nan",
"Fisherman"
],
[
"3",
"Olai Naustheller",
"1920-1925",
"nan",
"Farmer"
],
[
"4",
"Mikkel Nilsen Birkeland",
"1926-1935",
"nan",
"Farmer"
],
[
"5",
"Magnus Larssen",
"1935-1937",
"nan",
"School teacher"
],
[
"6",
"Salomon O. Fagerbakke",
"1938-1945",
"nan",
"Fisherman"
],
[
"7",
"Salomon V. Kalvenes",
"1946-1959",
"nan",
"Fisherman"
],
[
"8",
"Rikard S. Storebo",
"1960-1969",
"Liberal Party",
"Social security manager"
],
[
"9",
"Peder Kalve",
"1970-1975",
"Conservative Party",
"Maritime pilot"
],
[
"10",
"Magnus Stangeland",
"1976-1981",
"Centre Party",
"School principal"
],
[
"11",
"Knut K. Kalvenes",
"1982-1985",
"Conservative Party",
"Retailer"
],
[
"12",
"Hallvard Mogster",
"1986-1989",
"Christian Democratic Party",
"Captain"
],
[
"13",
"Inge Bjarne Storebo",
"1990-2001",
"Conservative Party",
"Bank manager"
],
[
"14",
"Olav P. Arland",
"2001-2003",
"Christian Democratic Party",
"Shipmaster"
],
[
"15",
"Helge Andre Njastad",
"2003-",
"Progress Party",
"Student"
]
] |
[
"Rikard S. Storebo",
"Peder Kalve",
"Magnus Stangeland",
"Knut K. Kalvenes",
"Hallvard Mogster",
"Inge Bjarne Storebo",
"Olav P. Arland",
"Helge Andre Njastad"
] |
which note political parties? || who are the mayors?
|
nt-7940
|
col : # | name | office | political party | occupation row 1 : 1 | ole olsen stromme | 1886-1901 | nan | church bell ringer row 2 : 2 | peder olai kleppe | 1902-1919 | nan | fisherman row 3 : 3 | olai naustheller | 1920-1925 | nan | farmer row 4 : 4 | mikkel nilsen birkeland | 1926-1935 | nan | farmer row 5 : 5 | magnus larssen | 1935-1937 | nan | school teacher row 6 : 6 | salomon o. fagerbakke | 1938-1945 | nan | fisherman row 7 : 7 | salomon v. kalvenes | 1946-1959 | nan | fisherman row 8 : 8 | rikard s. storebo | 1960-1969 | liberal party | social security manager row 9 : 9 | peder kalve | 1970-1975 | conservative party | maritime pilot row 10 : 10 | magnus stangeland | 1976-1981 | centre party | school principal row 11 : 11 | knut k. kalvenes | 1982-1985 | conservative party | retailer row 12 : 12 | hallvard mogster | 1986-1989 | christian democratic party | captain row 13 : 13 | inge bjarne storebo | 1990-2001 | conservative party | bank manager row 14 : 14 | olav p. arland | 2001-2003 | christian democratic party | shipmaster row 15 : 15 | helge andre njastad | 2003- | progress party | student
|
table_csv/201_10.csv
| 2 |
{
"column_index": [
3,
3,
3,
3,
3,
3,
3,
3
],
"row_index": [
7,
8,
9,
10,
11,
12,
13,
14
]
}
|
[
"who are the mayors?",
"which note political parties?",
"what are the parties?"
] | 2 |
liberal party, conservative party, centre party, conservative party, christian democratic party, conservative party, christian democratic party, progress party
|
[
"#",
"Name",
"Office",
"Political Party",
"Occupation"
] |
what are the parties?
|
[
[
"1",
"Ole Olsen Stromme",
"1886-1901",
"nan",
"Church bell ringer"
],
[
"2",
"Peder Olai Kleppe",
"1902-1919",
"nan",
"Fisherman"
],
[
"3",
"Olai Naustheller",
"1920-1925",
"nan",
"Farmer"
],
[
"4",
"Mikkel Nilsen Birkeland",
"1926-1935",
"nan",
"Farmer"
],
[
"5",
"Magnus Larssen",
"1935-1937",
"nan",
"School teacher"
],
[
"6",
"Salomon O. Fagerbakke",
"1938-1945",
"nan",
"Fisherman"
],
[
"7",
"Salomon V. Kalvenes",
"1946-1959",
"nan",
"Fisherman"
],
[
"8",
"Rikard S. Storebo",
"1960-1969",
"Liberal Party",
"Social security manager"
],
[
"9",
"Peder Kalve",
"1970-1975",
"Conservative Party",
"Maritime pilot"
],
[
"10",
"Magnus Stangeland",
"1976-1981",
"Centre Party",
"School principal"
],
[
"11",
"Knut K. Kalvenes",
"1982-1985",
"Conservative Party",
"Retailer"
],
[
"12",
"Hallvard Mogster",
"1986-1989",
"Christian Democratic Party",
"Captain"
],
[
"13",
"Inge Bjarne Storebo",
"1990-2001",
"Conservative Party",
"Bank manager"
],
[
"14",
"Olav P. Arland",
"2001-2003",
"Christian Democratic Party",
"Shipmaster"
],
[
"15",
"Helge Andre Njastad",
"2003-",
"Progress Party",
"Student"
]
] |
[
"Liberal Party",
"Conservative Party",
"Centre Party",
"Conservative Party",
"Christian Democratic Party",
"Conservative Party",
"Christian Democratic Party",
"Progress Party"
] |
what are the parties? || which note political parties? | who are the mayors?
|
nt-7940
|
col : # | name | office | political party | occupation row 1 : 1 | ole olsen stromme | 1886-1901 | nan | church bell ringer row 2 : 2 | peder olai kleppe | 1902-1919 | nan | fisherman row 3 : 3 | olai naustheller | 1920-1925 | nan | farmer row 4 : 4 | mikkel nilsen birkeland | 1926-1935 | nan | farmer row 5 : 5 | magnus larssen | 1935-1937 | nan | school teacher row 6 : 6 | salomon o. fagerbakke | 1938-1945 | nan | fisherman row 7 : 7 | salomon v. kalvenes | 1946-1959 | nan | fisherman row 8 : 8 | rikard s. storebo | 1960-1969 | liberal party | social security manager row 9 : 9 | peder kalve | 1970-1975 | conservative party | maritime pilot row 10 : 10 | magnus stangeland | 1976-1981 | centre party | school principal row 11 : 11 | knut k. kalvenes | 1982-1985 | conservative party | retailer row 12 : 12 | hallvard mogster | 1986-1989 | christian democratic party | captain row 13 : 13 | inge bjarne storebo | 1990-2001 | conservative party | bank manager row 14 : 14 | olav p. arland | 2001-2003 | christian democratic party | shipmaster row 15 : 15 | helge andre njastad | 2003- | progress party | student
|
table_csv/201_10.csv
| 3 |
{
"column_index": [
3
],
"row_index": [
14
]
}
|
[
"who are the mayors?",
"which note political parties?",
"what are the parties?",
"which of these does the most recent belong to?"
] | 2 |
progress party
|
[
"#",
"Name",
"Office",
"Political Party",
"Occupation"
] |
which of these does the most recent belong to?
|
[
[
"1",
"Ole Olsen Stromme",
"1886-1901",
"nan",
"Church bell ringer"
],
[
"2",
"Peder Olai Kleppe",
"1902-1919",
"nan",
"Fisherman"
],
[
"3",
"Olai Naustheller",
"1920-1925",
"nan",
"Farmer"
],
[
"4",
"Mikkel Nilsen Birkeland",
"1926-1935",
"nan",
"Farmer"
],
[
"5",
"Magnus Larssen",
"1935-1937",
"nan",
"School teacher"
],
[
"6",
"Salomon O. Fagerbakke",
"1938-1945",
"nan",
"Fisherman"
],
[
"7",
"Salomon V. Kalvenes",
"1946-1959",
"nan",
"Fisherman"
],
[
"8",
"Rikard S. Storebo",
"1960-1969",
"Liberal Party",
"Social security manager"
],
[
"9",
"Peder Kalve",
"1970-1975",
"Conservative Party",
"Maritime pilot"
],
[
"10",
"Magnus Stangeland",
"1976-1981",
"Centre Party",
"School principal"
],
[
"11",
"Knut K. Kalvenes",
"1982-1985",
"Conservative Party",
"Retailer"
],
[
"12",
"Hallvard Mogster",
"1986-1989",
"Christian Democratic Party",
"Captain"
],
[
"13",
"Inge Bjarne Storebo",
"1990-2001",
"Conservative Party",
"Bank manager"
],
[
"14",
"Olav P. Arland",
"2001-2003",
"Christian Democratic Party",
"Shipmaster"
],
[
"15",
"Helge Andre Njastad",
"2003-",
"Progress Party",
"Student"
]
] |
[
"Progress Party"
] |
which of these does the most recent belong to? || what are the parties? | which note political parties? | who are the mayors?
|
ns-1914
|
col : school | team name | town | county | enrollment (2010-11 & 2011-12) | primary mshsaa class* | football class row 1 : benton high school | (lady) cardinals | st. joseph | buchanan | 846 | 4 | 4 row 2 : bishop leblond high school | (lady) golden eagles | st. joseph | buchanan | 314 | 3 | 2 row 3 : cameron high school | (lady) dragons | cameron | clinton | 503 | 3 | 3 row 4 : chillicothe high school (missouri) | (lady) hornets | chillicothe | livingston | 638 | 4 | 3 row 5 : lafayette high school | fighting irish | st. joseph | buchanan | 801 | 4 | 4 row 6 : maryville high school | (lady) spoofhounds | maryville | nodaway | 473 | 3 | 2 row 7 : savannah high school | (lady) savages | savannah | andrew | 743 | 4 | 4 row 8 : smithville high school | (lady) warriors | smithville | clay | 727 | 4 | 4
|
table_csv/204_624.csv
| 0 |
{
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
}
|
[
"what are all the schools that participated in the midland empire conference?"
] | 0 |
benton high school, bishop leblond high school, cameron high school, chillicothe high school (missouri), lafayette high school, maryville high school, savannah high school, smithville high school
|
[
"School",
"Team Name",
"Town",
"County",
"Enrollment (2010-11 & 2011-12)",
"Primary MSHSAA class*",
"Football class"
] |
what are all the schools that participated in the midland empire conference?
|
[
[
"Benton High School",
"(Lady) Cardinals",
"St. Joseph",
"Buchanan",
"846",
"4",
"4"
],
[
"Bishop LeBlond High School",
"(Lady) Golden Eagles",
"St. Joseph",
"Buchanan",
"314",
"3",
"2"
],
[
"Cameron High School",
"(Lady) Dragons",
"Cameron",
"Clinton",
"503",
"3",
"3"
],
[
"Chillicothe High School (Missouri)",
"(Lady) Hornets",
"Chillicothe",
"Livingston",
"638",
"4",
"3"
],
[
"Lafayette High School",
"Fighting Irish",
"St. Joseph",
"Buchanan",
"801",
"4",
"4"
],
[
"Maryville High School",
"(Lady) Spoofhounds",
"Maryville",
"Nodaway",
"473",
"3",
"2"
],
[
"Savannah High School",
"(Lady) Savages",
"Savannah",
"Andrew",
"743",
"4",
"4"
],
[
"Smithville High School",
"(Lady) Warriors",
"Smithville",
"Clay",
"727",
"4",
"4"
]
] |
[
"Benton High School",
"Bishop LeBlond High School",
"Cameron High School",
"Chillicothe High School (Missouri)",
"Lafayette High School",
"Maryville High School",
"Savannah High School",
"Smithville High School"
] |
what are all the schools that participated in the midland empire conference? ||
|
ns-1914
|
col : school | team name | town | county | enrollment (2010-11 & 2011-12) | primary mshsaa class* | football class row 1 : benton high school | (lady) cardinals | st. joseph | buchanan | 846 | 4 | 4 row 2 : bishop leblond high school | (lady) golden eagles | st. joseph | buchanan | 314 | 3 | 2 row 3 : cameron high school | (lady) dragons | cameron | clinton | 503 | 3 | 3 row 4 : chillicothe high school (missouri) | (lady) hornets | chillicothe | livingston | 638 | 4 | 3 row 5 : lafayette high school | fighting irish | st. joseph | buchanan | 801 | 4 | 4 row 6 : maryville high school | (lady) spoofhounds | maryville | nodaway | 473 | 3 | 2 row 7 : savannah high school | (lady) savages | savannah | andrew | 743 | 4 | 4 row 8 : smithville high school | (lady) warriors | smithville | clay | 727 | 4 | 4
|
table_csv/204_624.csv
| 1 |
{
"column_index": [
6
],
"row_index": [
2
]
}
|
[
"what are all the schools that participated in the midland empire conference?",
"what football class was cameron high school in?"
] | 0 |
3
|
[
"School",
"Team Name",
"Town",
"County",
"Enrollment (2010-11 & 2011-12)",
"Primary MSHSAA class*",
"Football class"
] |
what football class was cameron high school in?
|
[
[
"Benton High School",
"(Lady) Cardinals",
"St. Joseph",
"Buchanan",
"846",
"4",
"4"
],
[
"Bishop LeBlond High School",
"(Lady) Golden Eagles",
"St. Joseph",
"Buchanan",
"314",
"3",
"2"
],
[
"Cameron High School",
"(Lady) Dragons",
"Cameron",
"Clinton",
"503",
"3",
"3"
],
[
"Chillicothe High School (Missouri)",
"(Lady) Hornets",
"Chillicothe",
"Livingston",
"638",
"4",
"3"
],
[
"Lafayette High School",
"Fighting Irish",
"St. Joseph",
"Buchanan",
"801",
"4",
"4"
],
[
"Maryville High School",
"(Lady) Spoofhounds",
"Maryville",
"Nodaway",
"473",
"3",
"2"
],
[
"Savannah High School",
"(Lady) Savages",
"Savannah",
"Andrew",
"743",
"4",
"4"
],
[
"Smithville High School",
"(Lady) Warriors",
"Smithville",
"Clay",
"727",
"4",
"4"
]
] |
[
"3"
] |
what football class was cameron high school in? || what are all the schools that participated in the midland empire conference?
|
ns-1914
|
col : school | team name | town | county | enrollment (2010-11 & 2011-12) | primary mshsaa class* | football class row 1 : benton high school | (lady) cardinals | st. joseph | buchanan | 846 | 4 | 4 row 2 : bishop leblond high school | (lady) golden eagles | st. joseph | buchanan | 314 | 3 | 2 row 3 : cameron high school | (lady) dragons | cameron | clinton | 503 | 3 | 3 row 4 : chillicothe high school (missouri) | (lady) hornets | chillicothe | livingston | 638 | 4 | 3 row 5 : lafayette high school | fighting irish | st. joseph | buchanan | 801 | 4 | 4 row 6 : maryville high school | (lady) spoofhounds | maryville | nodaway | 473 | 3 | 2 row 7 : savannah high school | (lady) savages | savannah | andrew | 743 | 4 | 4 row 8 : smithville high school | (lady) warriors | smithville | clay | 727 | 4 | 4
|
table_csv/204_624.csv
| 2 |
{
"column_index": [
6
],
"row_index": [
3
]
}
|
[
"what are all the schools that participated in the midland empire conference?",
"what football class was cameron high school in?",
"what is the other class that matches this value?"
] | 0 |
3
|
[
"School",
"Team Name",
"Town",
"County",
"Enrollment (2010-11 & 2011-12)",
"Primary MSHSAA class*",
"Football class"
] |
what is the other class that matches this value?
|
[
[
"Benton High School",
"(Lady) Cardinals",
"St. Joseph",
"Buchanan",
"846",
"4",
"4"
],
[
"Bishop LeBlond High School",
"(Lady) Golden Eagles",
"St. Joseph",
"Buchanan",
"314",
"3",
"2"
],
[
"Cameron High School",
"(Lady) Dragons",
"Cameron",
"Clinton",
"503",
"3",
"3"
],
[
"Chillicothe High School (Missouri)",
"(Lady) Hornets",
"Chillicothe",
"Livingston",
"638",
"4",
"3"
],
[
"Lafayette High School",
"Fighting Irish",
"St. Joseph",
"Buchanan",
"801",
"4",
"4"
],
[
"Maryville High School",
"(Lady) Spoofhounds",
"Maryville",
"Nodaway",
"473",
"3",
"2"
],
[
"Savannah High School",
"(Lady) Savages",
"Savannah",
"Andrew",
"743",
"4",
"4"
],
[
"Smithville High School",
"(Lady) Warriors",
"Smithville",
"Clay",
"727",
"4",
"4"
]
] |
[
"3"
] |
what is the other class that matches this value? || what football class was cameron high school in? | what are all the schools that participated in the midland empire conference?
|
ns-1914
|
col : school | team name | town | county | enrollment (2010-11 & 2011-12) | primary mshsaa class* | football class row 1 : benton high school | (lady) cardinals | st. joseph | buchanan | 846 | 4 | 4 row 2 : bishop leblond high school | (lady) golden eagles | st. joseph | buchanan | 314 | 3 | 2 row 3 : cameron high school | (lady) dragons | cameron | clinton | 503 | 3 | 3 row 4 : chillicothe high school (missouri) | (lady) hornets | chillicothe | livingston | 638 | 4 | 3 row 5 : lafayette high school | fighting irish | st. joseph | buchanan | 801 | 4 | 4 row 6 : maryville high school | (lady) spoofhounds | maryville | nodaway | 473 | 3 | 2 row 7 : savannah high school | (lady) savages | savannah | andrew | 743 | 4 | 4 row 8 : smithville high school | (lady) warriors | smithville | clay | 727 | 4 | 4
|
table_csv/204_624.csv
| 3 |
{
"column_index": [
0
],
"row_index": [
3
]
}
|
[
"what are all the schools that participated in the midland empire conference?",
"what football class was cameron high school in?",
"what is the other class that matches this value?",
"what school had this same class?"
] | 0 |
chillicothe high school (missouri)
|
[
"School",
"Team Name",
"Town",
"County",
"Enrollment (2010-11 & 2011-12)",
"Primary MSHSAA class*",
"Football class"
] |
what school had this same class?
|
[
[
"Benton High School",
"(Lady) Cardinals",
"St. Joseph",
"Buchanan",
"846",
"4",
"4"
],
[
"Bishop LeBlond High School",
"(Lady) Golden Eagles",
"St. Joseph",
"Buchanan",
"314",
"3",
"2"
],
[
"Cameron High School",
"(Lady) Dragons",
"Cameron",
"Clinton",
"503",
"3",
"3"
],
[
"Chillicothe High School (Missouri)",
"(Lady) Hornets",
"Chillicothe",
"Livingston",
"638",
"4",
"3"
],
[
"Lafayette High School",
"Fighting Irish",
"St. Joseph",
"Buchanan",
"801",
"4",
"4"
],
[
"Maryville High School",
"(Lady) Spoofhounds",
"Maryville",
"Nodaway",
"473",
"3",
"2"
],
[
"Savannah High School",
"(Lady) Savages",
"Savannah",
"Andrew",
"743",
"4",
"4"
],
[
"Smithville High School",
"(Lady) Warriors",
"Smithville",
"Clay",
"727",
"4",
"4"
]
] |
[
"Chillicothe High School (Missouri)"
] |
what school had this same class? || what is the other class that matches this value? | what football class was cameron high school in? | what are all the schools that participated in the midland empire conference?
|
ns-1914
|
col : school | team name | town | county | enrollment (2010-11 & 2011-12) | primary mshsaa class* | football class row 1 : benton high school | (lady) cardinals | st. joseph | buchanan | 846 | 4 | 4 row 2 : bishop leblond high school | (lady) golden eagles | st. joseph | buchanan | 314 | 3 | 2 row 3 : cameron high school | (lady) dragons | cameron | clinton | 503 | 3 | 3 row 4 : chillicothe high school (missouri) | (lady) hornets | chillicothe | livingston | 638 | 4 | 3 row 5 : lafayette high school | fighting irish | st. joseph | buchanan | 801 | 4 | 4 row 6 : maryville high school | (lady) spoofhounds | maryville | nodaway | 473 | 3 | 2 row 7 : savannah high school | (lady) savages | savannah | andrew | 743 | 4 | 4 row 8 : smithville high school | (lady) warriors | smithville | clay | 727 | 4 | 4
|
table_csv/204_624.csv
| 0 |
{
"column_index": [
6,
6,
6
],
"row_index": [
0,
1,
2
]
}
|
[
"which football classes are there?"
] | 1 |
4, 2, 3
|
[
"School",
"Team Name",
"Town",
"County",
"Enrollment (2010-11 & 2011-12)",
"Primary MSHSAA class*",
"Football class"
] |
which football classes are there?
|
[
[
"Benton High School",
"(Lady) Cardinals",
"St. Joseph",
"Buchanan",
"846",
"4",
"4"
],
[
"Bishop LeBlond High School",
"(Lady) Golden Eagles",
"St. Joseph",
"Buchanan",
"314",
"3",
"2"
],
[
"Cameron High School",
"(Lady) Dragons",
"Cameron",
"Clinton",
"503",
"3",
"3"
],
[
"Chillicothe High School (Missouri)",
"(Lady) Hornets",
"Chillicothe",
"Livingston",
"638",
"4",
"3"
],
[
"Lafayette High School",
"Fighting Irish",
"St. Joseph",
"Buchanan",
"801",
"4",
"4"
],
[
"Maryville High School",
"(Lady) Spoofhounds",
"Maryville",
"Nodaway",
"473",
"3",
"2"
],
[
"Savannah High School",
"(Lady) Savages",
"Savannah",
"Andrew",
"743",
"4",
"4"
],
[
"Smithville High School",
"(Lady) Warriors",
"Smithville",
"Clay",
"727",
"4",
"4"
]
] |
[
"4",
"2",
"3"
] |
which football classes are there? ||
|
ns-1914
|
col : school | team name | town | county | enrollment (2010-11 & 2011-12) | primary mshsaa class* | football class row 1 : benton high school | (lady) cardinals | st. joseph | buchanan | 846 | 4 | 4 row 2 : bishop leblond high school | (lady) golden eagles | st. joseph | buchanan | 314 | 3 | 2 row 3 : cameron high school | (lady) dragons | cameron | clinton | 503 | 3 | 3 row 4 : chillicothe high school (missouri) | (lady) hornets | chillicothe | livingston | 638 | 4 | 3 row 5 : lafayette high school | fighting irish | st. joseph | buchanan | 801 | 4 | 4 row 6 : maryville high school | (lady) spoofhounds | maryville | nodaway | 473 | 3 | 2 row 7 : savannah high school | (lady) savages | savannah | andrew | 743 | 4 | 4 row 8 : smithville high school | (lady) warriors | smithville | clay | 727 | 4 | 4
|
table_csv/204_624.csv
| 1 |
{
"column_index": [
6
],
"row_index": [
2
]
}
|
[
"which football classes are there?",
"which, of these classes, is cameron high school in?"
] | 1 |
3
|
[
"School",
"Team Name",
"Town",
"County",
"Enrollment (2010-11 & 2011-12)",
"Primary MSHSAA class*",
"Football class"
] |
which, of these classes, is cameron high school in?
|
[
[
"Benton High School",
"(Lady) Cardinals",
"St. Joseph",
"Buchanan",
"846",
"4",
"4"
],
[
"Bishop LeBlond High School",
"(Lady) Golden Eagles",
"St. Joseph",
"Buchanan",
"314",
"3",
"2"
],
[
"Cameron High School",
"(Lady) Dragons",
"Cameron",
"Clinton",
"503",
"3",
"3"
],
[
"Chillicothe High School (Missouri)",
"(Lady) Hornets",
"Chillicothe",
"Livingston",
"638",
"4",
"3"
],
[
"Lafayette High School",
"Fighting Irish",
"St. Joseph",
"Buchanan",
"801",
"4",
"4"
],
[
"Maryville High School",
"(Lady) Spoofhounds",
"Maryville",
"Nodaway",
"473",
"3",
"2"
],
[
"Savannah High School",
"(Lady) Savages",
"Savannah",
"Andrew",
"743",
"4",
"4"
],
[
"Smithville High School",
"(Lady) Warriors",
"Smithville",
"Clay",
"727",
"4",
"4"
]
] |
[
"3"
] |
which, of these classes, is cameron high school in? || which football classes are there?
|
ns-1914
|
col : school | team name | town | county | enrollment (2010-11 & 2011-12) | primary mshsaa class* | football class row 1 : benton high school | (lady) cardinals | st. joseph | buchanan | 846 | 4 | 4 row 2 : bishop leblond high school | (lady) golden eagles | st. joseph | buchanan | 314 | 3 | 2 row 3 : cameron high school | (lady) dragons | cameron | clinton | 503 | 3 | 3 row 4 : chillicothe high school (missouri) | (lady) hornets | chillicothe | livingston | 638 | 4 | 3 row 5 : lafayette high school | fighting irish | st. joseph | buchanan | 801 | 4 | 4 row 6 : maryville high school | (lady) spoofhounds | maryville | nodaway | 473 | 3 | 2 row 7 : savannah high school | (lady) savages | savannah | andrew | 743 | 4 | 4 row 8 : smithville high school | (lady) warriors | smithville | clay | 727 | 4 | 4
|
table_csv/204_624.csv
| 2 |
{
"column_index": [
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
3,
4,
5,
6,
7
]
}
|
[
"which football classes are there?",
"which, of these classes, is cameron high school in?",
"besides cameron, which schools are there?"
] | 1 |
benton high school, bishop leblond high school, chillicothe high school (missouri), lafayette high school, maryville high school, savannah high school, smithville high school
|
[
"School",
"Team Name",
"Town",
"County",
"Enrollment (2010-11 & 2011-12)",
"Primary MSHSAA class*",
"Football class"
] |
besides cameron, which schools are there?
|
[
[
"Benton High School",
"(Lady) Cardinals",
"St. Joseph",
"Buchanan",
"846",
"4",
"4"
],
[
"Bishop LeBlond High School",
"(Lady) Golden Eagles",
"St. Joseph",
"Buchanan",
"314",
"3",
"2"
],
[
"Cameron High School",
"(Lady) Dragons",
"Cameron",
"Clinton",
"503",
"3",
"3"
],
[
"Chillicothe High School (Missouri)",
"(Lady) Hornets",
"Chillicothe",
"Livingston",
"638",
"4",
"3"
],
[
"Lafayette High School",
"Fighting Irish",
"St. Joseph",
"Buchanan",
"801",
"4",
"4"
],
[
"Maryville High School",
"(Lady) Spoofhounds",
"Maryville",
"Nodaway",
"473",
"3",
"2"
],
[
"Savannah High School",
"(Lady) Savages",
"Savannah",
"Andrew",
"743",
"4",
"4"
],
[
"Smithville High School",
"(Lady) Warriors",
"Smithville",
"Clay",
"727",
"4",
"4"
]
] |
[
"Benton High School",
"Bishop LeBlond High School",
"Chillicothe High School (Missouri)",
"Lafayette High School",
"Maryville High School",
"Savannah High School",
"Smithville High School"
] |
besides cameron, which schools are there? || which, of these classes, is cameron high school in? | which football classes are there?
|
ns-1914
|
col : school | team name | town | county | enrollment (2010-11 & 2011-12) | primary mshsaa class* | football class row 1 : benton high school | (lady) cardinals | st. joseph | buchanan | 846 | 4 | 4 row 2 : bishop leblond high school | (lady) golden eagles | st. joseph | buchanan | 314 | 3 | 2 row 3 : cameron high school | (lady) dragons | cameron | clinton | 503 | 3 | 3 row 4 : chillicothe high school (missouri) | (lady) hornets | chillicothe | livingston | 638 | 4 | 3 row 5 : lafayette high school | fighting irish | st. joseph | buchanan | 801 | 4 | 4 row 6 : maryville high school | (lady) spoofhounds | maryville | nodaway | 473 | 3 | 2 row 7 : savannah high school | (lady) savages | savannah | andrew | 743 | 4 | 4 row 8 : smithville high school | (lady) warriors | smithville | clay | 727 | 4 | 4
|
table_csv/204_624.csv
| 3 |
{
"column_index": [
0
],
"row_index": [
3
]
}
|
[
"which football classes are there?",
"which, of these classes, is cameron high school in?",
"besides cameron, which schools are there?",
"of these, which is also in the football class '3'?"
] | 1 |
chillicothe high school (missouri)
|
[
"School",
"Team Name",
"Town",
"County",
"Enrollment (2010-11 & 2011-12)",
"Primary MSHSAA class*",
"Football class"
] |
of these, which is also in the football class '3'?
|
[
[
"Benton High School",
"(Lady) Cardinals",
"St. Joseph",
"Buchanan",
"846",
"4",
"4"
],
[
"Bishop LeBlond High School",
"(Lady) Golden Eagles",
"St. Joseph",
"Buchanan",
"314",
"3",
"2"
],
[
"Cameron High School",
"(Lady) Dragons",
"Cameron",
"Clinton",
"503",
"3",
"3"
],
[
"Chillicothe High School (Missouri)",
"(Lady) Hornets",
"Chillicothe",
"Livingston",
"638",
"4",
"3"
],
[
"Lafayette High School",
"Fighting Irish",
"St. Joseph",
"Buchanan",
"801",
"4",
"4"
],
[
"Maryville High School",
"(Lady) Spoofhounds",
"Maryville",
"Nodaway",
"473",
"3",
"2"
],
[
"Savannah High School",
"(Lady) Savages",
"Savannah",
"Andrew",
"743",
"4",
"4"
],
[
"Smithville High School",
"(Lady) Warriors",
"Smithville",
"Clay",
"727",
"4",
"4"
]
] |
[
"Chillicothe High School (Missouri)"
] |
of these, which is also in the football class '3'? || besides cameron, which schools are there? | which, of these classes, is cameron high school in? | which football classes are there?
|
ns-1914
|
col : school | team name | town | county | enrollment (2010-11 & 2011-12) | primary mshsaa class* | football class row 1 : benton high school | (lady) cardinals | st. joseph | buchanan | 846 | 4 | 4 row 2 : bishop leblond high school | (lady) golden eagles | st. joseph | buchanan | 314 | 3 | 2 row 3 : cameron high school | (lady) dragons | cameron | clinton | 503 | 3 | 3 row 4 : chillicothe high school (missouri) | (lady) hornets | chillicothe | livingston | 638 | 4 | 3 row 5 : lafayette high school | fighting irish | st. joseph | buchanan | 801 | 4 | 4 row 6 : maryville high school | (lady) spoofhounds | maryville | nodaway | 473 | 3 | 2 row 7 : savannah high school | (lady) savages | savannah | andrew | 743 | 4 | 4 row 8 : smithville high school | (lady) warriors | smithville | clay | 727 | 4 | 4
|
table_csv/204_624.csv
| 0 |
{
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|
[
"what are all the high school names?"
] | 2 |
benton high school, bishop leblond high school, cameron high school, chillicothe high school (missouri), lafayette high school, maryville high school, savannah high school, smithville high school
|
[
"School",
"Team Name",
"Town",
"County",
"Enrollment (2010-11 & 2011-12)",
"Primary MSHSAA class*",
"Football class"
] |
what are all the high school names?
|
[
[
"Benton High School",
"(Lady) Cardinals",
"St. Joseph",
"Buchanan",
"846",
"4",
"4"
],
[
"Bishop LeBlond High School",
"(Lady) Golden Eagles",
"St. Joseph",
"Buchanan",
"314",
"3",
"2"
],
[
"Cameron High School",
"(Lady) Dragons",
"Cameron",
"Clinton",
"503",
"3",
"3"
],
[
"Chillicothe High School (Missouri)",
"(Lady) Hornets",
"Chillicothe",
"Livingston",
"638",
"4",
"3"
],
[
"Lafayette High School",
"Fighting Irish",
"St. Joseph",
"Buchanan",
"801",
"4",
"4"
],
[
"Maryville High School",
"(Lady) Spoofhounds",
"Maryville",
"Nodaway",
"473",
"3",
"2"
],
[
"Savannah High School",
"(Lady) Savages",
"Savannah",
"Andrew",
"743",
"4",
"4"
],
[
"Smithville High School",
"(Lady) Warriors",
"Smithville",
"Clay",
"727",
"4",
"4"
]
] |
[
"Benton High School",
"Bishop LeBlond High School",
"Cameron High School",
"Chillicothe High School (Missouri)",
"Lafayette High School",
"Maryville High School",
"Savannah High School",
"Smithville High School"
] |
what are all the high school names? ||
|
ns-1914
|
col : school | team name | town | county | enrollment (2010-11 & 2011-12) | primary mshsaa class* | football class row 1 : benton high school | (lady) cardinals | st. joseph | buchanan | 846 | 4 | 4 row 2 : bishop leblond high school | (lady) golden eagles | st. joseph | buchanan | 314 | 3 | 2 row 3 : cameron high school | (lady) dragons | cameron | clinton | 503 | 3 | 3 row 4 : chillicothe high school (missouri) | (lady) hornets | chillicothe | livingston | 638 | 4 | 3 row 5 : lafayette high school | fighting irish | st. joseph | buchanan | 801 | 4 | 4 row 6 : maryville high school | (lady) spoofhounds | maryville | nodaway | 473 | 3 | 2 row 7 : savannah high school | (lady) savages | savannah | andrew | 743 | 4 | 4 row 8 : smithville high school | (lady) warriors | smithville | clay | 727 | 4 | 4
|
table_csv/204_624.csv
| 1 |
{
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6,
6,
6,
6,
6,
6,
6,
6
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
}
|
[
"what are all the high school names?",
"what football class are they in?"
] | 2 |
4, 2, 3, 3, 4, 2, 4, 4
|
[
"School",
"Team Name",
"Town",
"County",
"Enrollment (2010-11 & 2011-12)",
"Primary MSHSAA class*",
"Football class"
] |
what football class are they in?
|
[
[
"Benton High School",
"(Lady) Cardinals",
"St. Joseph",
"Buchanan",
"846",
"4",
"4"
],
[
"Bishop LeBlond High School",
"(Lady) Golden Eagles",
"St. Joseph",
"Buchanan",
"314",
"3",
"2"
],
[
"Cameron High School",
"(Lady) Dragons",
"Cameron",
"Clinton",
"503",
"3",
"3"
],
[
"Chillicothe High School (Missouri)",
"(Lady) Hornets",
"Chillicothe",
"Livingston",
"638",
"4",
"3"
],
[
"Lafayette High School",
"Fighting Irish",
"St. Joseph",
"Buchanan",
"801",
"4",
"4"
],
[
"Maryville High School",
"(Lady) Spoofhounds",
"Maryville",
"Nodaway",
"473",
"3",
"2"
],
[
"Savannah High School",
"(Lady) Savages",
"Savannah",
"Andrew",
"743",
"4",
"4"
],
[
"Smithville High School",
"(Lady) Warriors",
"Smithville",
"Clay",
"727",
"4",
"4"
]
] |
[
"4",
"2",
"3",
"3",
"4",
"2",
"4",
"4"
] |
what football class are they in? || what are all the high school names?
|
ns-1914
|
col : school | team name | town | county | enrollment (2010-11 & 2011-12) | primary mshsaa class* | football class row 1 : benton high school | (lady) cardinals | st. joseph | buchanan | 846 | 4 | 4 row 2 : bishop leblond high school | (lady) golden eagles | st. joseph | buchanan | 314 | 3 | 2 row 3 : cameron high school | (lady) dragons | cameron | clinton | 503 | 3 | 3 row 4 : chillicothe high school (missouri) | (lady) hornets | chillicothe | livingston | 638 | 4 | 3 row 5 : lafayette high school | fighting irish | st. joseph | buchanan | 801 | 4 | 4 row 6 : maryville high school | (lady) spoofhounds | maryville | nodaway | 473 | 3 | 2 row 7 : savannah high school | (lady) savages | savannah | andrew | 743 | 4 | 4 row 8 : smithville high school | (lady) warriors | smithville | clay | 727 | 4 | 4
|
table_csv/204_624.csv
| 2 |
{
"column_index": [
0
],
"row_index": [
3
]
}
|
[
"what are all the high school names?",
"what football class are they in?",
"along with cameron high school, which school is in class 3?"
] | 2 |
chillicothe high school (missouri)
|
[
"School",
"Team Name",
"Town",
"County",
"Enrollment (2010-11 & 2011-12)",
"Primary MSHSAA class*",
"Football class"
] |
along with cameron high school, which school is in class 3?
|
[
[
"Benton High School",
"(Lady) Cardinals",
"St. Joseph",
"Buchanan",
"846",
"4",
"4"
],
[
"Bishop LeBlond High School",
"(Lady) Golden Eagles",
"St. Joseph",
"Buchanan",
"314",
"3",
"2"
],
[
"Cameron High School",
"(Lady) Dragons",
"Cameron",
"Clinton",
"503",
"3",
"3"
],
[
"Chillicothe High School (Missouri)",
"(Lady) Hornets",
"Chillicothe",
"Livingston",
"638",
"4",
"3"
],
[
"Lafayette High School",
"Fighting Irish",
"St. Joseph",
"Buchanan",
"801",
"4",
"4"
],
[
"Maryville High School",
"(Lady) Spoofhounds",
"Maryville",
"Nodaway",
"473",
"3",
"2"
],
[
"Savannah High School",
"(Lady) Savages",
"Savannah",
"Andrew",
"743",
"4",
"4"
],
[
"Smithville High School",
"(Lady) Warriors",
"Smithville",
"Clay",
"727",
"4",
"4"
]
] |
[
"Chillicothe High School (Missouri)"
] |
along with cameron high school, which school is in class 3? || what football class are they in? | what are all the high school names?
|
nt-8495
|
col : pos | class | no | team | drivers | chassis | engine row 1 : 32 | s 2.0 | 27 | societe roc | laurent ferrier xavier lapeyre christian ethui | lola t294 | roc-simca 2.0l i4 row 2 : 33 | s 2.0 | 29 | societe roc | pierre-marie painvin franz hummel | lola t292 | roc-simca 2.0l i4 row 3 : 34 | s 3.0 | 3 | christian poirot | christian poirot gerard cuynet guillermo ortega | porsche 908/2 | porsche 3.0l flat-8 row 4 : 35 | gt | 59 | gelo racing team | tim schenken howden ganley | porsche 911 carrera rsr | porsche 3.0l flat-6 row 5 : 36 | s 3.0 | 1 | wicky racing team | max cohen-olivar philippe coran joel brachet | porsche 908/2 | porsche 3.0l flat-8 row 6 : 37 | s 3.0 | 6 | gitanes automobiles ligier | henri pescarolo francois migault | ligier js2 | ford cosworth dfv 3.0l v8 row 7 : 38 | gt | 52 | ecurie du nord | william vollery roger dorchy eric chapuis | porsche 911 carrera rsr | porsche 3.0l flat-6 row 8 : 39 | t | 98 | auto mazda claude bouchet | claude bouchet jean rondeau | mazda rx-3 | mazda 12a 1.2l 2-rotor row 9 : 40 | gt | 57 | ganto racing | john rulon-miller tom waugh serge godard | porsche 911 carrera rsr | porsche 3.0l flat-6 row 10 : 41 | gt | 60 | gelo racing team | toine hezemans manfred schurti | porsche 911 carrera rsr | porsche 3.0l flat-6 row 11 : 42 | gt | 68 | guy verrier | guy verrier florian vetsch jean-robert corthay | porsche 911 carrera rs | porsche 3.0l flat-6 row 12 : 43 | gt | 7 | beurlys international auto | pietro polese willer | de tomaso pantera | ford 5.8l v8 row 13 : 44 | t | 93 | herve poulain | herve poulain sam posey jean guichet | bmw 3.0csl | bmw 3.5l i6 row 14 : 45 | s 2.0 | 26 | elf switzerland | marie-claude charmasson lella lombardi | renault-alpine a441 | renault 2.0l v6 row 15 : 46 | s 3.0 | 18 | sigma automotive co. ltd. | hiroshi fushida harukuni takah | sigma mc75 | toyota 2.3l turbo i4 row 16 : 47 | gt | 16 | joest racing / tebernum | clemens schickentanz hartwig bertrams | porsche 911 carrera rsr | porsche 3.0l flat-6 row 17 : 48 | gt | 96 | bonnemaison - thiaw | lucien nageotte gerard picard | porsche 911 carrera rsr | porsche 3.0l flat-6 row 18 : 49 | t | 95 | shark team | jean-claude guerie dominique fornage | ford capri rs | ford 3.0l v6 row 19 : 50 | s 3.0 | 97 | gitanes automobiles ligier | jean-pierre beltoise jean-pierre jarier | ligier js2 | maserati 3.0l v6 row 20 : 51 | s 3.0 | 12 | racing team schulthess | herve bayard heinz schulthess | lola t284 | ford cosworth dfv 3.0l v8 row 21 : 53 | gt ser. | 83 | jean-yves gadal | jean-yves gadal segolen | porsche 911 carrera rs | porsche 2.6l flat-6 row 22 : 54 | t | 90 | jean-claude aubriet | jean-claude aubriet depnic | bmw 3.0csl | bmw 3.5l i6
|
table_csv/204_864.csv
| 0 |
{
"column_index": [
4
],
"row_index": [
2
]
}
|
[
"who was christian poirot drivers?"
] | 0 |
christian poirot gerard cuynet guillermo ortega
|
[
"Pos",
"Class",
"No",
"Team",
"Drivers",
"Chassis",
"Engine"
] |
who was christian poirot drivers?
|
[
[
"32",
"S 2.0",
"27",
"Societe ROC",
"Laurent Ferrier Xavier Lapeyre Christian Ethui",
"Lola T294",
"ROC-Simca 2.0L I4"
],
[
"33",
"S 2.0",
"29",
"Societe ROC",
"Pierre-Marie Painvin Franz Hummel",
"Lola T292",
"ROC-Simca 2.0L I4"
],
[
"34",
"S 3.0",
"3",
"Christian Poirot",
"Christian Poirot Gerard Cuynet Guillermo Ortega",
"Porsche 908/2",
"Porsche 3.0L Flat-8"
],
[
"35",
"GT",
"59",
"Gelo Racing Team",
"Tim Schenken Howden Ganley",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"36",
"S 3.0",
"1",
"Wicky Racing Team",
"Max Cohen-Olivar Philippe Coran Joel Brachet",
"Porsche 908/2",
"Porsche 3.0L Flat-8"
],
[
"37",
"S 3.0",
"6",
"Gitanes Automobiles Ligier",
"Henri Pescarolo Francois Migault",
"Ligier JS2",
"Ford Cosworth DFV 3.0L V8"
],
[
"38",
"GT",
"52",
"Ecurie du Nord",
"William Vollery Roger Dorchy Eric Chapuis",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"39",
"T",
"98",
"Auto Mazda Claude Bouchet",
"Claude Bouchet Jean Rondeau",
"Mazda RX-3",
"Mazda 12A 1.2L 2-Rotor"
],
[
"40",
"GT",
"57",
"Ganto Racing",
"John Rulon-Miller Tom Waugh Serge Godard",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"41",
"GT",
"60",
"Gelo Racing Team",
"Toine Hezemans Manfred Schurti",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"42",
"GT",
"68",
"Guy Verrier",
"Guy Verrier Florian Vetsch Jean-Robert Corthay",
"Porsche 911 Carrera RS",
"Porsche 3.0L Flat-6"
],
[
"43",
"GT",
"7",
"Beurlys International Auto",
"Pietro Polese Willer",
"De Tomaso Pantera",
"Ford 5.8L V8"
],
[
"44",
"T",
"93",
"Herve Poulain",
"Herve Poulain Sam Posey Jean Guichet",
"BMW 3.0CSL",
"BMW 3.5L I6"
],
[
"45",
"S 2.0",
"26",
"Elf Switzerland",
"Marie-Claude Charmasson Lella Lombardi",
"Renault-Alpine A441",
"Renault 2.0L V6"
],
[
"46",
"S 3.0",
"18",
"Sigma Automotive Co. Ltd.",
"Hiroshi Fushida Harukuni Takah",
"Sigma MC75",
"Toyota 2.3L Turbo I4"
],
[
"47",
"GT",
"16",
"Joest Racing / Tebernum",
"Clemens Schickentanz Hartwig Bertrams",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"48",
"GT",
"96",
"Bonnemaison - Thiaw",
"Lucien Nageotte Gerard Picard",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"49",
"T",
"95",
"Shark Team",
"Jean-Claude Guerie Dominique Fornage",
"Ford Capri RS",
"Ford 3.0L V6"
],
[
"50",
"S 3.0",
"97",
"Gitanes Automobiles Ligier",
"Jean-Pierre Beltoise Jean-Pierre Jarier",
"Ligier JS2",
"Maserati 3.0L V6"
],
[
"51",
"S 3.0",
"12",
"Racing Team Schulthess",
"Herve Bayard Heinz Schulthess",
"Lola T284",
"Ford Cosworth DFV 3.0L V8"
],
[
"53",
"GT Ser.",
"83",
"Jean-Yves Gadal",
"Jean-Yves Gadal Segolen",
"Porsche 911 Carrera RS",
"Porsche 2.6L Flat-6"
],
[
"54",
"T",
"90",
"Jean-Claude Aubriet",
"Jean-Claude Aubriet Depnic",
"BMW 3.0CSL",
"BMW 3.5L I6"
]
] |
[
"Christian Poirot Gerard Cuynet Guillermo Ortega"
] |
who was christian poirot drivers? ||
|
nt-8495
|
col : pos | class | no | team | drivers | chassis | engine row 1 : 32 | s 2.0 | 27 | societe roc | laurent ferrier xavier lapeyre christian ethui | lola t294 | roc-simca 2.0l i4 row 2 : 34 | s 3.0 | 3 | christian poirot | christian poirot gerard cuynet guillermo ortega | porsche 908/2 | porsche 3.0l flat-8 row 3 : 35 | gt | 59 | gelo racing team | tim schenken howden ganley | porsche 911 carrera rsr | porsche 3.0l flat-6 row 4 : 36 | s 3.0 | 1 | wicky racing team | max cohen-olivar philippe coran joel brachet | porsche 908/2 | porsche 3.0l flat-8 row 5 : 37 | s 3.0 | 6 | gitanes automobiles ligier | henri pescarolo francois migault | ligier js2 | ford cosworth dfv 3.0l v8 row 6 : 38 | gt | 52 | ecurie du nord | william vollery roger dorchy eric chapuis | porsche 911 carrera rsr | porsche 3.0l flat-6 row 7 : 39 | t | 98 | auto mazda claude bouchet | claude bouchet jean rondeau | mazda rx-3 | mazda 12a 1.2l 2-rotor row 8 : 40 | gt | 57 | ganto racing | john rulon-miller tom waugh serge godard | porsche 911 carrera rsr | porsche 3.0l flat-6 row 9 : 41 | gt | 60 | gelo racing team | toine hezemans manfred schurti | porsche 911 carrera rsr | porsche 3.0l flat-6 row 10 : 42 | gt | 68 | guy verrier | guy verrier florian vetsch jean-robert corthay | porsche 911 carrera rs | porsche 3.0l flat-6 row 11 : 43 | gt | 7 | beurlys international auto | pietro polese willer | de tomaso pantera | ford 5.8l v8 row 12 : 44 | t | 93 | herve poulain | herve poulain sam posey jean guichet | bmw 3.0csl | bmw 3.5l i6 row 13 : 45 | s 2.0 | 26 | elf switzerland | marie-claude charmasson lella lombardi | renault-alpine a441 | renault 2.0l v6 row 14 : 46 | s 3.0 | 18 | sigma automotive co. ltd. | hiroshi fushida harukuni takah | sigma mc75 | toyota 2.3l turbo i4 row 15 : 47 | gt | 16 | joest racing / tebernum | clemens schickentanz hartwig bertrams | porsche 911 carrera rsr | porsche 3.0l flat-6 row 16 : 48 | gt | 96 | bonnemaison - thiaw | lucien nageotte gerard picard | porsche 911 carrera rsr | porsche 3.0l flat-6 row 17 : 49 | t | 95 | shark team | jean-claude guerie dominique fornage | ford capri rs | ford 3.0l v6 row 18 : 50 | s 3.0 | 97 | gitanes automobiles ligier | jean-pierre beltoise jean-pierre jarier | ligier js2 | maserati 3.0l v6 row 19 : 51 | s 3.0 | 12 | racing team schulthess | herve bayard heinz schulthess | lola t284 | ford cosworth dfv 3.0l v8 row 20 : 52 | s 2.0 | 40 | philippe mettetal | jean ragnotti michel lateste | tecma 755 | ford 1.8l i4 row 21 : 53 | gt ser. | 83 | jean-yves gadal | jean-yves gadal segolen | porsche 911 carrera rs | porsche 2.6l flat-6 row 22 : 54 | t | 90 | jean-claude aubriet | jean-claude aubriet depnic | bmw 3.0csl | bmw 3.5l i6
|
table_csv/204_864.csv
| 1 |
{
"column_index": [
3
],
"row_index": [
8
]
}
|
[
"who was christian poirot drivers?",
"john rulon-miller tom waugh serge godard?"
] | 0 |
ganto racing
|
[
"Pos",
"Class",
"No",
"Team",
"Drivers",
"Chassis",
"Engine"
] |
john rulon-miller tom waugh serge godard?
|
[
[
"32",
"S 2.0",
"27",
"Societe ROC",
"Laurent Ferrier Xavier Lapeyre Christian Ethui",
"Lola T294",
"ROC-Simca 2.0L I4"
],
[
"34",
"S 3.0",
"3",
"Christian Poirot",
"Christian Poirot Gerard Cuynet Guillermo Ortega",
"Porsche 908/2",
"Porsche 3.0L Flat-8"
],
[
"35",
"GT",
"59",
"Gelo Racing Team",
"Tim Schenken Howden Ganley",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"36",
"S 3.0",
"1",
"Wicky Racing Team",
"Max Cohen-Olivar Philippe Coran Joel Brachet",
"Porsche 908/2",
"Porsche 3.0L Flat-8"
],
[
"37",
"S 3.0",
"6",
"Gitanes Automobiles Ligier",
"Henri Pescarolo Francois Migault",
"Ligier JS2",
"Ford Cosworth DFV 3.0L V8"
],
[
"38",
"GT",
"52",
"Ecurie du Nord",
"William Vollery Roger Dorchy Eric Chapuis",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"39",
"T",
"98",
"Auto Mazda Claude Bouchet",
"Claude Bouchet Jean Rondeau",
"Mazda RX-3",
"Mazda 12A 1.2L 2-Rotor"
],
[
"40",
"GT",
"57",
"Ganto Racing",
"John Rulon-Miller Tom Waugh Serge Godard",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"41",
"GT",
"60",
"Gelo Racing Team",
"Toine Hezemans Manfred Schurti",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"42",
"GT",
"68",
"Guy Verrier",
"Guy Verrier Florian Vetsch Jean-Robert Corthay",
"Porsche 911 Carrera RS",
"Porsche 3.0L Flat-6"
],
[
"43",
"GT",
"7",
"Beurlys International Auto",
"Pietro Polese Willer",
"De Tomaso Pantera",
"Ford 5.8L V8"
],
[
"44",
"T",
"93",
"Herve Poulain",
"Herve Poulain Sam Posey Jean Guichet",
"BMW 3.0CSL",
"BMW 3.5L I6"
],
[
"45",
"S 2.0",
"26",
"Elf Switzerland",
"Marie-Claude Charmasson Lella Lombardi",
"Renault-Alpine A441",
"Renault 2.0L V6"
],
[
"46",
"S 3.0",
"18",
"Sigma Automotive Co. Ltd.",
"Hiroshi Fushida Harukuni Takah",
"Sigma MC75",
"Toyota 2.3L Turbo I4"
],
[
"47",
"GT",
"16",
"Joest Racing / Tebernum",
"Clemens Schickentanz Hartwig Bertrams",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"48",
"GT",
"96",
"Bonnemaison - Thiaw",
"Lucien Nageotte Gerard Picard",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"49",
"T",
"95",
"Shark Team",
"Jean-Claude Guerie Dominique Fornage",
"Ford Capri RS",
"Ford 3.0L V6"
],
[
"50",
"S 3.0",
"97",
"Gitanes Automobiles Ligier",
"Jean-Pierre Beltoise Jean-Pierre Jarier",
"Ligier JS2",
"Maserati 3.0L V6"
],
[
"51",
"S 3.0",
"12",
"Racing Team Schulthess",
"Herve Bayard Heinz Schulthess",
"Lola T284",
"Ford Cosworth DFV 3.0L V8"
],
[
"52",
"S 2.0",
"40",
"Philippe Mettetal",
"Jean Ragnotti Michel Lateste",
"Tecma 755",
"Ford 1.8L I4"
],
[
"53",
"GT Ser.",
"83",
"Jean-Yves Gadal",
"Jean-Yves Gadal Segolen",
"Porsche 911 Carrera RS",
"Porsche 2.6L Flat-6"
],
[
"54",
"T",
"90",
"Jean-Claude Aubriet",
"Jean-Claude Aubriet Depnic",
"BMW 3.0CSL",
"BMW 3.5L I6"
]
] |
[
"Ganto Racing"
] |
john rulon-miller tom waugh serge godard? || who was christian poirot drivers?
|
nt-8495
|
col : pos | class | no | team | drivers | chassis | engine row 1 : 32 | s 2.0 | 27 | societe roc | laurent ferrier xavier lapeyre christian ethui | lola t294 | roc-simca 2.0l i4 row 2 : 33 | s 2.0 | 29 | societe roc | pierre-marie painvin franz hummel | lola t292 | roc-simca 2.0l i4 row 3 : 34 | s 3.0 | 3 | christian poirot | christian poirot gerard cuynet guillermo ortega | porsche 908/2 | porsche 3.0l flat-8 row 4 : 35 | gt | 59 | gelo racing team | tim schenken howden ganley | porsche 911 carrera rsr | porsche 3.0l flat-6 row 5 : 36 | s 3.0 | 1 | wicky racing team | max cohen-olivar philippe coran joel brachet | porsche 908/2 | porsche 3.0l flat-8 row 6 : 37 | s 3.0 | 6 | gitanes automobiles ligier | henri pescarolo francois migault | ligier js2 | ford cosworth dfv 3.0l v8 row 7 : 38 | gt | 52 | ecurie du nord | william vollery roger dorchy eric chapuis | porsche 911 carrera rsr | porsche 3.0l flat-6 row 8 : 39 | t | 98 | auto mazda claude bouchet | claude bouchet jean rondeau | mazda rx-3 | mazda 12a 1.2l 2-rotor row 9 : 40 | gt | 57 | ganto racing | john rulon-miller tom waugh serge godard | porsche 911 carrera rsr | porsche 3.0l flat-6 row 10 : 41 | gt | 60 | gelo racing team | toine hezemans manfred schurti | porsche 911 carrera rsr | porsche 3.0l flat-6 row 11 : 42 | gt | 68 | guy verrier | guy verrier florian vetsch jean-robert corthay | porsche 911 carrera rs | porsche 3.0l flat-6 row 12 : 43 | gt | 7 | beurlys international auto | pietro polese willer | de tomaso pantera | ford 5.8l v8 row 13 : 44 | t | 93 | herve poulain | herve poulain sam posey jean guichet | bmw 3.0csl | bmw 3.5l i6 row 14 : 45 | s 2.0 | 26 | elf switzerland | marie-claude charmasson lella lombardi | renault-alpine a441 | renault 2.0l v6 row 15 : 46 | s 3.0 | 18 | sigma automotive co. ltd. | hiroshi fushida harukuni takah | sigma mc75 | toyota 2.3l turbo i4 row 16 : 47 | gt | 16 | joest racing / tebernum | clemens schickentanz hartwig bertrams | porsche 911 carrera rsr | porsche 3.0l flat-6 row 17 : 48 | gt | 96 | bonnemaison - thiaw | lucien nageotte gerard picard | porsche 911 carrera rsr | porsche 3.0l flat-6 row 18 : 49 | t | 95 | shark team | jean-claude guerie dominique fornage | ford capri rs | ford 3.0l v6 row 19 : 50 | s 3.0 | 97 | gitanes automobiles ligier | jean-pierre beltoise jean-pierre jarier | ligier js2 | maserati 3.0l v6 row 20 : 51 | s 3.0 | 12 | racing team schulthess | herve bayard heinz schulthess | lola t284 | ford cosworth dfv 3.0l v8 row 21 : 52 | s 2.0 | 40 | philippe mettetal | jean ragnotti michel lateste | tecma 755 | ford 1.8l i4 row 22 : 53 | gt ser. | 83 | jean-yves gadal | jean-yves gadal segolen | porsche 911 carrera rs | porsche 2.6l flat-6
|
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|
[
"what were the name of all of the drivers"
] | 1 |
laurent ferrier xavier lapeyre christian ethui, pierre-marie painvin franz hummel, christian poirot gerard cuynet guillermo ortega, tim schenken howden ganley, max cohen-olivar philippe coran joel brachet, henri pescarolo francois migault, william vollery roger dorchy eric chapuis, claude bouchet jean rondeau, john rulon-miller tom waugh serge godard, toine hezemans manfred schurti, guy verrier florian vetsch jean-robert corthay, pietro polese willer, herve poulain sam posey jean guichet, marie-claude charmasson lella lombardi, hiroshi fushida harukuni takah, clemens schickentanz hartwig bertrams, lucien nageotte gerard picard, jean-claude guerie dominique fornage, jean-pierre beltoise jean-pierre jarier, herve bayard heinz schulthess, jean ragnotti michel lateste, jean-yves gadal segolen, jean-claude aubriet depnic, henri greder alain cudini
|
[
"Pos",
"Class",
"No",
"Team",
"Drivers",
"Chassis",
"Engine"
] |
what were the name of all of the drivers
|
[
[
"32",
"S 2.0",
"27",
"Societe ROC",
"Laurent Ferrier Xavier Lapeyre Christian Ethui",
"Lola T294",
"ROC-Simca 2.0L I4"
],
[
"33",
"S 2.0",
"29",
"Societe ROC",
"Pierre-Marie Painvin Franz Hummel",
"Lola T292",
"ROC-Simca 2.0L I4"
],
[
"34",
"S 3.0",
"3",
"Christian Poirot",
"Christian Poirot Gerard Cuynet Guillermo Ortega",
"Porsche 908/2",
"Porsche 3.0L Flat-8"
],
[
"35",
"GT",
"59",
"Gelo Racing Team",
"Tim Schenken Howden Ganley",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"36",
"S 3.0",
"1",
"Wicky Racing Team",
"Max Cohen-Olivar Philippe Coran Joel Brachet",
"Porsche 908/2",
"Porsche 3.0L Flat-8"
],
[
"37",
"S 3.0",
"6",
"Gitanes Automobiles Ligier",
"Henri Pescarolo Francois Migault",
"Ligier JS2",
"Ford Cosworth DFV 3.0L V8"
],
[
"38",
"GT",
"52",
"Ecurie du Nord",
"William Vollery Roger Dorchy Eric Chapuis",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"39",
"T",
"98",
"Auto Mazda Claude Bouchet",
"Claude Bouchet Jean Rondeau",
"Mazda RX-3",
"Mazda 12A 1.2L 2-Rotor"
],
[
"40",
"GT",
"57",
"Ganto Racing",
"John Rulon-Miller Tom Waugh Serge Godard",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"41",
"GT",
"60",
"Gelo Racing Team",
"Toine Hezemans Manfred Schurti",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"42",
"GT",
"68",
"Guy Verrier",
"Guy Verrier Florian Vetsch Jean-Robert Corthay",
"Porsche 911 Carrera RS",
"Porsche 3.0L Flat-6"
],
[
"43",
"GT",
"7",
"Beurlys International Auto",
"Pietro Polese Willer",
"De Tomaso Pantera",
"Ford 5.8L V8"
],
[
"44",
"T",
"93",
"Herve Poulain",
"Herve Poulain Sam Posey Jean Guichet",
"BMW 3.0CSL",
"BMW 3.5L I6"
],
[
"45",
"S 2.0",
"26",
"Elf Switzerland",
"Marie-Claude Charmasson Lella Lombardi",
"Renault-Alpine A441",
"Renault 2.0L V6"
],
[
"46",
"S 3.0",
"18",
"Sigma Automotive Co. Ltd.",
"Hiroshi Fushida Harukuni Takah",
"Sigma MC75",
"Toyota 2.3L Turbo I4"
],
[
"47",
"GT",
"16",
"Joest Racing / Tebernum",
"Clemens Schickentanz Hartwig Bertrams",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"48",
"GT",
"96",
"Bonnemaison - Thiaw",
"Lucien Nageotte Gerard Picard",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"49",
"T",
"95",
"Shark Team",
"Jean-Claude Guerie Dominique Fornage",
"Ford Capri RS",
"Ford 3.0L V6"
],
[
"50",
"S 3.0",
"97",
"Gitanes Automobiles Ligier",
"Jean-Pierre Beltoise Jean-Pierre Jarier",
"Ligier JS2",
"Maserati 3.0L V6"
],
[
"51",
"S 3.0",
"12",
"Racing Team Schulthess",
"Herve Bayard Heinz Schulthess",
"Lola T284",
"Ford Cosworth DFV 3.0L V8"
],
[
"52",
"S 2.0",
"40",
"Philippe Mettetal",
"Jean Ragnotti Michel Lateste",
"Tecma 755",
"Ford 1.8L I4"
],
[
"53",
"GT Ser.",
"83",
"Jean-Yves Gadal",
"Jean-Yves Gadal Segolen",
"Porsche 911 Carrera RS",
"Porsche 2.6L Flat-6"
]
] |
[
"Laurent Ferrier Xavier Lapeyre Christian Ethui",
"Pierre-Marie Painvin Franz Hummel",
"Christian Poirot Gerard Cuynet Guillermo Ortega",
"Tim Schenken Howden Ganley",
"Max Cohen-Olivar Philippe Coran Joel Brachet",
"Henri Pescarolo Francois Migault",
"William Vollery Roger Dorchy Eric Chapuis",
"Claude Bouchet Jean Rondeau",
"John Rulon-Miller Tom Waugh Serge Godard",
"Toine Hezemans Manfred Schurti",
"Guy Verrier Florian Vetsch Jean-Robert Corthay",
"Pietro Polese Willer",
"Herve Poulain Sam Posey Jean Guichet",
"Marie-Claude Charmasson Lella Lombardi",
"Hiroshi Fushida Harukuni Takah",
"Clemens Schickentanz Hartwig Bertrams",
"Lucien Nageotte Gerard Picard",
"Jean-Claude Guerie Dominique Fornage",
"Jean-Pierre Beltoise Jean-Pierre Jarier",
"Herve Bayard Heinz Schulthess",
"Jean Ragnotti Michel Lateste",
"Jean-Yves Gadal Segolen",
"Jean-Claude Aubriet Depnic",
"Henri Greder Alain Cudini"
] |
what were the name of all of the drivers ||
|
nt-8495
|
col : pos | class | no | team | drivers | chassis | engine row 1 : 32 | s 2.0 | 27 | societe roc | laurent ferrier xavier lapeyre christian ethui | lola t294 | roc-simca 2.0l i4 row 2 : 33 | s 2.0 | 29 | societe roc | pierre-marie painvin franz hummel | lola t292 | roc-simca 2.0l i4 row 3 : 34 | s 3.0 | 3 | christian poirot | christian poirot gerard cuynet guillermo ortega | porsche 908/2 | porsche 3.0l flat-8 row 4 : 35 | gt | 59 | gelo racing team | tim schenken howden ganley | porsche 911 carrera rsr | porsche 3.0l flat-6 row 5 : 36 | s 3.0 | 1 | wicky racing team | max cohen-olivar philippe coran joel brachet | porsche 908/2 | porsche 3.0l flat-8 row 6 : 37 | s 3.0 | 6 | gitanes automobiles ligier | henri pescarolo francois migault | ligier js2 | ford cosworth dfv 3.0l v8 row 7 : 38 | gt | 52 | ecurie du nord | william vollery roger dorchy eric chapuis | porsche 911 carrera rsr | porsche 3.0l flat-6 row 8 : 39 | t | 98 | auto mazda claude bouchet | claude bouchet jean rondeau | mazda rx-3 | mazda 12a 1.2l 2-rotor row 9 : 40 | gt | 57 | ganto racing | john rulon-miller tom waugh serge godard | porsche 911 carrera rsr | porsche 3.0l flat-6 row 10 : 41 | gt | 60 | gelo racing team | toine hezemans manfred schurti | porsche 911 carrera rsr | porsche 3.0l flat-6 row 11 : 42 | gt | 68 | guy verrier | guy verrier florian vetsch jean-robert corthay | porsche 911 carrera rs | porsche 3.0l flat-6 row 12 : 43 | gt | 7 | beurlys international auto | pietro polese willer | de tomaso pantera | ford 5.8l v8 row 13 : 44 | t | 93 | herve poulain | herve poulain sam posey jean guichet | bmw 3.0csl | bmw 3.5l i6 row 14 : 45 | s 2.0 | 26 | elf switzerland | marie-claude charmasson lella lombardi | renault-alpine a441 | renault 2.0l v6 row 15 : 46 | s 3.0 | 18 | sigma automotive co. ltd. | hiroshi fushida harukuni takah | sigma mc75 | toyota 2.3l turbo i4 row 16 : 47 | gt | 16 | joest racing / tebernum | clemens schickentanz hartwig bertrams | porsche 911 carrera rsr | porsche 3.0l flat-6 row 17 : 48 | gt | 96 | bonnemaison - thiaw | lucien nageotte gerard picard | porsche 911 carrera rsr | porsche 3.0l flat-6 row 18 : 50 | s 3.0 | 97 | gitanes automobiles ligier | jean-pierre beltoise jean-pierre jarier | ligier js2 | maserati 3.0l v6 row 19 : 51 | s 3.0 | 12 | racing team schulthess | herve bayard heinz schulthess | lola t284 | ford cosworth dfv 3.0l v8 row 20 : 52 | s 2.0 | 40 | philippe mettetal | jean ragnotti michel lateste | tecma 755 | ford 1.8l i4 row 21 : 53 | gt ser. | 83 | jean-yves gadal | jean-yves gadal segolen | porsche 911 carrera rs | porsche 2.6l flat-6 row 22 : 54 | t | 90 | jean-claude aubriet | jean-claude aubriet depnic | bmw 3.0csl | bmw 3.5l i6
|
table_csv/204_864.csv
| 1 |
{
"column_index": [
4
],
"row_index": [
8
]
}
|
[
"what were the name of all of the drivers",
"of those drivers, were any of them french"
] | 1 |
john rulon-miller tom waugh serge godard
|
[
"Pos",
"Class",
"No",
"Team",
"Drivers",
"Chassis",
"Engine"
] |
of those drivers, were any of them french
|
[
[
"32",
"S 2.0",
"27",
"Societe ROC",
"Laurent Ferrier Xavier Lapeyre Christian Ethui",
"Lola T294",
"ROC-Simca 2.0L I4"
],
[
"33",
"S 2.0",
"29",
"Societe ROC",
"Pierre-Marie Painvin Franz Hummel",
"Lola T292",
"ROC-Simca 2.0L I4"
],
[
"34",
"S 3.0",
"3",
"Christian Poirot",
"Christian Poirot Gerard Cuynet Guillermo Ortega",
"Porsche 908/2",
"Porsche 3.0L Flat-8"
],
[
"35",
"GT",
"59",
"Gelo Racing Team",
"Tim Schenken Howden Ganley",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"36",
"S 3.0",
"1",
"Wicky Racing Team",
"Max Cohen-Olivar Philippe Coran Joel Brachet",
"Porsche 908/2",
"Porsche 3.0L Flat-8"
],
[
"37",
"S 3.0",
"6",
"Gitanes Automobiles Ligier",
"Henri Pescarolo Francois Migault",
"Ligier JS2",
"Ford Cosworth DFV 3.0L V8"
],
[
"38",
"GT",
"52",
"Ecurie du Nord",
"William Vollery Roger Dorchy Eric Chapuis",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"39",
"T",
"98",
"Auto Mazda Claude Bouchet",
"Claude Bouchet Jean Rondeau",
"Mazda RX-3",
"Mazda 12A 1.2L 2-Rotor"
],
[
"40",
"GT",
"57",
"Ganto Racing",
"John Rulon-Miller Tom Waugh Serge Godard",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"41",
"GT",
"60",
"Gelo Racing Team",
"Toine Hezemans Manfred Schurti",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"42",
"GT",
"68",
"Guy Verrier",
"Guy Verrier Florian Vetsch Jean-Robert Corthay",
"Porsche 911 Carrera RS",
"Porsche 3.0L Flat-6"
],
[
"43",
"GT",
"7",
"Beurlys International Auto",
"Pietro Polese Willer",
"De Tomaso Pantera",
"Ford 5.8L V8"
],
[
"44",
"T",
"93",
"Herve Poulain",
"Herve Poulain Sam Posey Jean Guichet",
"BMW 3.0CSL",
"BMW 3.5L I6"
],
[
"45",
"S 2.0",
"26",
"Elf Switzerland",
"Marie-Claude Charmasson Lella Lombardi",
"Renault-Alpine A441",
"Renault 2.0L V6"
],
[
"46",
"S 3.0",
"18",
"Sigma Automotive Co. Ltd.",
"Hiroshi Fushida Harukuni Takah",
"Sigma MC75",
"Toyota 2.3L Turbo I4"
],
[
"47",
"GT",
"16",
"Joest Racing / Tebernum",
"Clemens Schickentanz Hartwig Bertrams",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"48",
"GT",
"96",
"Bonnemaison - Thiaw",
"Lucien Nageotte Gerard Picard",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"50",
"S 3.0",
"97",
"Gitanes Automobiles Ligier",
"Jean-Pierre Beltoise Jean-Pierre Jarier",
"Ligier JS2",
"Maserati 3.0L V6"
],
[
"51",
"S 3.0",
"12",
"Racing Team Schulthess",
"Herve Bayard Heinz Schulthess",
"Lola T284",
"Ford Cosworth DFV 3.0L V8"
],
[
"52",
"S 2.0",
"40",
"Philippe Mettetal",
"Jean Ragnotti Michel Lateste",
"Tecma 755",
"Ford 1.8L I4"
],
[
"53",
"GT Ser.",
"83",
"Jean-Yves Gadal",
"Jean-Yves Gadal Segolen",
"Porsche 911 Carrera RS",
"Porsche 2.6L Flat-6"
],
[
"54",
"T",
"90",
"Jean-Claude Aubriet",
"Jean-Claude Aubriet Depnic",
"BMW 3.0CSL",
"BMW 3.5L I6"
]
] |
[
"John Rulon-Miller Tom Waugh Serge Godard"
] |
of those drivers, were any of them french || what were the name of all of the drivers
|
nt-8495
|
col : pos | class | no | team | drivers | chassis | engine row 1 : 32 | s 2.0 | 27 | societe roc | laurent ferrier xavier lapeyre christian ethui | lola t294 | roc-simca 2.0l i4 row 2 : 33 | s 2.0 | 29 | societe roc | pierre-marie painvin franz hummel | lola t292 | roc-simca 2.0l i4 row 3 : 34 | s 3.0 | 3 | christian poirot | christian poirot gerard cuynet guillermo ortega | porsche 908/2 | porsche 3.0l flat-8 row 4 : 35 | gt | 59 | gelo racing team | tim schenken howden ganley | porsche 911 carrera rsr | porsche 3.0l flat-6 row 5 : 36 | s 3.0 | 1 | wicky racing team | max cohen-olivar philippe coran joel brachet | porsche 908/2 | porsche 3.0l flat-8 row 6 : 37 | s 3.0 | 6 | gitanes automobiles ligier | henri pescarolo francois migault | ligier js2 | ford cosworth dfv 3.0l v8 row 7 : 38 | gt | 52 | ecurie du nord | william vollery roger dorchy eric chapuis | porsche 911 carrera rsr | porsche 3.0l flat-6 row 8 : 39 | t | 98 | auto mazda claude bouchet | claude bouchet jean rondeau | mazda rx-3 | mazda 12a 1.2l 2-rotor row 9 : 40 | gt | 57 | ganto racing | john rulon-miller tom waugh serge godard | porsche 911 carrera rsr | porsche 3.0l flat-6 row 10 : 41 | gt | 60 | gelo racing team | toine hezemans manfred schurti | porsche 911 carrera rsr | porsche 3.0l flat-6 row 11 : 42 | gt | 68 | guy verrier | guy verrier florian vetsch jean-robert corthay | porsche 911 carrera rs | porsche 3.0l flat-6 row 12 : 43 | gt | 7 | beurlys international auto | pietro polese willer | de tomaso pantera | ford 5.8l v8 row 13 : 45 | s 2.0 | 26 | elf switzerland | marie-claude charmasson lella lombardi | renault-alpine a441 | renault 2.0l v6 row 14 : 46 | s 3.0 | 18 | sigma automotive co. ltd. | hiroshi fushida harukuni takah | sigma mc75 | toyota 2.3l turbo i4 row 15 : 47 | gt | 16 | joest racing / tebernum | clemens schickentanz hartwig bertrams | porsche 911 carrera rsr | porsche 3.0l flat-6 row 16 : 48 | gt | 96 | bonnemaison - thiaw | lucien nageotte gerard picard | porsche 911 carrera rsr | porsche 3.0l flat-6 row 17 : 49 | t | 95 | shark team | jean-claude guerie dominique fornage | ford capri rs | ford 3.0l v6 row 18 : 50 | s 3.0 | 97 | gitanes automobiles ligier | jean-pierre beltoise jean-pierre jarier | ligier js2 | maserati 3.0l v6 row 19 : 51 | s 3.0 | 12 | racing team schulthess | herve bayard heinz schulthess | lola t284 | ford cosworth dfv 3.0l v8 row 20 : 52 | s 2.0 | 40 | philippe mettetal | jean ragnotti michel lateste | tecma 755 | ford 1.8l i4 row 21 : 53 | gt ser. | 83 | jean-yves gadal | jean-yves gadal segolen | porsche 911 carrera rs | porsche 2.6l flat-6 row 22 : 54 | t | 90 | jean-claude aubriet | jean-claude aubriet depnic | bmw 3.0csl | bmw 3.5l i6
|
table_csv/204_864.csv
| 2 |
{
"column_index": [
3
],
"row_index": [
8
]
}
|
[
"what were the name of all of the drivers",
"of those drivers, were any of them french",
"of those, were any french drivers on an american team"
] | 1 |
ganto racing
|
[
"Pos",
"Class",
"No",
"Team",
"Drivers",
"Chassis",
"Engine"
] |
of those, were any french drivers on an american team
|
[
[
"32",
"S 2.0",
"27",
"Societe ROC",
"Laurent Ferrier Xavier Lapeyre Christian Ethui",
"Lola T294",
"ROC-Simca 2.0L I4"
],
[
"33",
"S 2.0",
"29",
"Societe ROC",
"Pierre-Marie Painvin Franz Hummel",
"Lola T292",
"ROC-Simca 2.0L I4"
],
[
"34",
"S 3.0",
"3",
"Christian Poirot",
"Christian Poirot Gerard Cuynet Guillermo Ortega",
"Porsche 908/2",
"Porsche 3.0L Flat-8"
],
[
"35",
"GT",
"59",
"Gelo Racing Team",
"Tim Schenken Howden Ganley",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"36",
"S 3.0",
"1",
"Wicky Racing Team",
"Max Cohen-Olivar Philippe Coran Joel Brachet",
"Porsche 908/2",
"Porsche 3.0L Flat-8"
],
[
"37",
"S 3.0",
"6",
"Gitanes Automobiles Ligier",
"Henri Pescarolo Francois Migault",
"Ligier JS2",
"Ford Cosworth DFV 3.0L V8"
],
[
"38",
"GT",
"52",
"Ecurie du Nord",
"William Vollery Roger Dorchy Eric Chapuis",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"39",
"T",
"98",
"Auto Mazda Claude Bouchet",
"Claude Bouchet Jean Rondeau",
"Mazda RX-3",
"Mazda 12A 1.2L 2-Rotor"
],
[
"40",
"GT",
"57",
"Ganto Racing",
"John Rulon-Miller Tom Waugh Serge Godard",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"41",
"GT",
"60",
"Gelo Racing Team",
"Toine Hezemans Manfred Schurti",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"42",
"GT",
"68",
"Guy Verrier",
"Guy Verrier Florian Vetsch Jean-Robert Corthay",
"Porsche 911 Carrera RS",
"Porsche 3.0L Flat-6"
],
[
"43",
"GT",
"7",
"Beurlys International Auto",
"Pietro Polese Willer",
"De Tomaso Pantera",
"Ford 5.8L V8"
],
[
"45",
"S 2.0",
"26",
"Elf Switzerland",
"Marie-Claude Charmasson Lella Lombardi",
"Renault-Alpine A441",
"Renault 2.0L V6"
],
[
"46",
"S 3.0",
"18",
"Sigma Automotive Co. Ltd.",
"Hiroshi Fushida Harukuni Takah",
"Sigma MC75",
"Toyota 2.3L Turbo I4"
],
[
"47",
"GT",
"16",
"Joest Racing / Tebernum",
"Clemens Schickentanz Hartwig Bertrams",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"48",
"GT",
"96",
"Bonnemaison - Thiaw",
"Lucien Nageotte Gerard Picard",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"49",
"T",
"95",
"Shark Team",
"Jean-Claude Guerie Dominique Fornage",
"Ford Capri RS",
"Ford 3.0L V6"
],
[
"50",
"S 3.0",
"97",
"Gitanes Automobiles Ligier",
"Jean-Pierre Beltoise Jean-Pierre Jarier",
"Ligier JS2",
"Maserati 3.0L V6"
],
[
"51",
"S 3.0",
"12",
"Racing Team Schulthess",
"Herve Bayard Heinz Schulthess",
"Lola T284",
"Ford Cosworth DFV 3.0L V8"
],
[
"52",
"S 2.0",
"40",
"Philippe Mettetal",
"Jean Ragnotti Michel Lateste",
"Tecma 755",
"Ford 1.8L I4"
],
[
"53",
"GT Ser.",
"83",
"Jean-Yves Gadal",
"Jean-Yves Gadal Segolen",
"Porsche 911 Carrera RS",
"Porsche 2.6L Flat-6"
],
[
"54",
"T",
"90",
"Jean-Claude Aubriet",
"Jean-Claude Aubriet Depnic",
"BMW 3.0CSL",
"BMW 3.5L I6"
]
] |
[
"Ganto Racing"
] |
of those, were any french drivers on an american team || of those drivers, were any of them french | what were the name of all of the drivers
|
nt-8495
|
col : pos | class | no | team | drivers | chassis | engine row 1 : 32 | s 2.0 | 27 | societe roc | laurent ferrier xavier lapeyre christian ethui | lola t294 | roc-simca 2.0l i4 row 2 : 33 | s 2.0 | 29 | societe roc | pierre-marie painvin franz hummel | lola t292 | roc-simca 2.0l i4 row 3 : 34 | s 3.0 | 3 | christian poirot | christian poirot gerard cuynet guillermo ortega | porsche 908/2 | porsche 3.0l flat-8 row 4 : 35 | gt | 59 | gelo racing team | tim schenken howden ganley | porsche 911 carrera rsr | porsche 3.0l flat-6 row 5 : 36 | s 3.0 | 1 | wicky racing team | max cohen-olivar philippe coran joel brachet | porsche 908/2 | porsche 3.0l flat-8 row 6 : 37 | s 3.0 | 6 | gitanes automobiles ligier | henri pescarolo francois migault | ligier js2 | ford cosworth dfv 3.0l v8 row 7 : 38 | gt | 52 | ecurie du nord | william vollery roger dorchy eric chapuis | porsche 911 carrera rsr | porsche 3.0l flat-6 row 8 : 39 | t | 98 | auto mazda claude bouchet | claude bouchet jean rondeau | mazda rx-3 | mazda 12a 1.2l 2-rotor row 9 : 40 | gt | 57 | ganto racing | john rulon-miller tom waugh serge godard | porsche 911 carrera rsr | porsche 3.0l flat-6 row 10 : 41 | gt | 60 | gelo racing team | toine hezemans manfred schurti | porsche 911 carrera rsr | porsche 3.0l flat-6 row 11 : 42 | gt | 68 | guy verrier | guy verrier florian vetsch jean-robert corthay | porsche 911 carrera rs | porsche 3.0l flat-6 row 12 : 43 | gt | 7 | beurlys international auto | pietro polese willer | de tomaso pantera | ford 5.8l v8 row 13 : 44 | t | 93 | herve poulain | herve poulain sam posey jean guichet | bmw 3.0csl | bmw 3.5l i6 row 14 : 45 | s 2.0 | 26 | elf switzerland | marie-claude charmasson lella lombardi | renault-alpine a441 | renault 2.0l v6 row 15 : 46 | s 3.0 | 18 | sigma automotive co. ltd. | hiroshi fushida harukuni takah | sigma mc75 | toyota 2.3l turbo i4 row 16 : 47 | gt | 16 | joest racing / tebernum | clemens schickentanz hartwig bertrams | porsche 911 carrera rsr | porsche 3.0l flat-6 row 17 : 48 | gt | 96 | bonnemaison - thiaw | lucien nageotte gerard picard | porsche 911 carrera rsr | porsche 3.0l flat-6 row 18 : 49 | t | 95 | shark team | jean-claude guerie dominique fornage | ford capri rs | ford 3.0l v6 row 19 : 50 | s 3.0 | 97 | gitanes automobiles ligier | jean-pierre beltoise jean-pierre jarier | ligier js2 | maserati 3.0l v6 row 20 : 51 | s 3.0 | 12 | racing team schulthess | herve bayard heinz schulthess | lola t284 | ford cosworth dfv 3.0l v8 row 21 : 52 | s 2.0 | 40 | philippe mettetal | jean ragnotti michel lateste | tecma 755 | ford 1.8l i4 row 22 : 53 | gt ser. | 83 | jean-yves gadal | jean-yves gadal segolen | porsche 911 carrera rs | porsche 2.6l flat-6
|
table_csv/204_864.csv
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|
[
"what are all the teams?"
] | 2 |
societe roc, christian poirot, gelo racing team, wicky racing team, gitanes automobiles ligier, ecurie du nord, auto mazda claude bouchet, ganto racing, guy verrier, beurlys international auto, herve poulain, elf switzerland, sigma automotive co. ltd., joest racing / tebernum, bonnemaison - thiaw, shark team, gitanes automobiles ligier, racing team schulthess, philippe mettetal, jean-yves gadal, jean-claude aubriet, henri greder
|
[
"Pos",
"Class",
"No",
"Team",
"Drivers",
"Chassis",
"Engine"
] |
what are all the teams?
|
[
[
"32",
"S 2.0",
"27",
"Societe ROC",
"Laurent Ferrier Xavier Lapeyre Christian Ethui",
"Lola T294",
"ROC-Simca 2.0L I4"
],
[
"33",
"S 2.0",
"29",
"Societe ROC",
"Pierre-Marie Painvin Franz Hummel",
"Lola T292",
"ROC-Simca 2.0L I4"
],
[
"34",
"S 3.0",
"3",
"Christian Poirot",
"Christian Poirot Gerard Cuynet Guillermo Ortega",
"Porsche 908/2",
"Porsche 3.0L Flat-8"
],
[
"35",
"GT",
"59",
"Gelo Racing Team",
"Tim Schenken Howden Ganley",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"36",
"S 3.0",
"1",
"Wicky Racing Team",
"Max Cohen-Olivar Philippe Coran Joel Brachet",
"Porsche 908/2",
"Porsche 3.0L Flat-8"
],
[
"37",
"S 3.0",
"6",
"Gitanes Automobiles Ligier",
"Henri Pescarolo Francois Migault",
"Ligier JS2",
"Ford Cosworth DFV 3.0L V8"
],
[
"38",
"GT",
"52",
"Ecurie du Nord",
"William Vollery Roger Dorchy Eric Chapuis",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"39",
"T",
"98",
"Auto Mazda Claude Bouchet",
"Claude Bouchet Jean Rondeau",
"Mazda RX-3",
"Mazda 12A 1.2L 2-Rotor"
],
[
"40",
"GT",
"57",
"Ganto Racing",
"John Rulon-Miller Tom Waugh Serge Godard",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"41",
"GT",
"60",
"Gelo Racing Team",
"Toine Hezemans Manfred Schurti",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"42",
"GT",
"68",
"Guy Verrier",
"Guy Verrier Florian Vetsch Jean-Robert Corthay",
"Porsche 911 Carrera RS",
"Porsche 3.0L Flat-6"
],
[
"43",
"GT",
"7",
"Beurlys International Auto",
"Pietro Polese Willer",
"De Tomaso Pantera",
"Ford 5.8L V8"
],
[
"44",
"T",
"93",
"Herve Poulain",
"Herve Poulain Sam Posey Jean Guichet",
"BMW 3.0CSL",
"BMW 3.5L I6"
],
[
"45",
"S 2.0",
"26",
"Elf Switzerland",
"Marie-Claude Charmasson Lella Lombardi",
"Renault-Alpine A441",
"Renault 2.0L V6"
],
[
"46",
"S 3.0",
"18",
"Sigma Automotive Co. Ltd.",
"Hiroshi Fushida Harukuni Takah",
"Sigma MC75",
"Toyota 2.3L Turbo I4"
],
[
"47",
"GT",
"16",
"Joest Racing / Tebernum",
"Clemens Schickentanz Hartwig Bertrams",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"48",
"GT",
"96",
"Bonnemaison - Thiaw",
"Lucien Nageotte Gerard Picard",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"49",
"T",
"95",
"Shark Team",
"Jean-Claude Guerie Dominique Fornage",
"Ford Capri RS",
"Ford 3.0L V6"
],
[
"50",
"S 3.0",
"97",
"Gitanes Automobiles Ligier",
"Jean-Pierre Beltoise Jean-Pierre Jarier",
"Ligier JS2",
"Maserati 3.0L V6"
],
[
"51",
"S 3.0",
"12",
"Racing Team Schulthess",
"Herve Bayard Heinz Schulthess",
"Lola T284",
"Ford Cosworth DFV 3.0L V8"
],
[
"52",
"S 2.0",
"40",
"Philippe Mettetal",
"Jean Ragnotti Michel Lateste",
"Tecma 755",
"Ford 1.8L I4"
],
[
"53",
"GT Ser.",
"83",
"Jean-Yves Gadal",
"Jean-Yves Gadal Segolen",
"Porsche 911 Carrera RS",
"Porsche 2.6L Flat-6"
]
] |
[
"Societe ROC",
"Christian Poirot",
"Gelo Racing Team",
"Wicky Racing Team",
"Gitanes Automobiles Ligier",
"Ecurie du Nord",
"Auto Mazda Claude Bouchet",
"Ganto Racing",
"Guy Verrier",
"Beurlys International Auto",
"Herve Poulain",
"Elf Switzerland",
"Sigma Automotive Co. Ltd.",
"Joest Racing / Tebernum",
"Bonnemaison - Thiaw",
"Shark Team",
"Gitanes Automobiles Ligier",
"Racing Team Schulthess",
"Philippe Mettetal",
"Jean-Yves Gadal",
"Jean-Claude Aubriet",
"Henri Greder"
] |
what are all the teams? ||
|
nt-8495
|
col : pos | class | no | team | drivers | chassis | engine row 1 : 33 | s 2.0 | 29 | societe roc | pierre-marie painvin franz hummel | lola t292 | roc-simca 2.0l i4 row 2 : 34 | s 3.0 | 3 | christian poirot | christian poirot gerard cuynet guillermo ortega | porsche 908/2 | porsche 3.0l flat-8 row 3 : 35 | gt | 59 | gelo racing team | tim schenken howden ganley | porsche 911 carrera rsr | porsche 3.0l flat-6 row 4 : 36 | s 3.0 | 1 | wicky racing team | max cohen-olivar philippe coran joel brachet | porsche 908/2 | porsche 3.0l flat-8 row 5 : 37 | s 3.0 | 6 | gitanes automobiles ligier | henri pescarolo francois migault | ligier js2 | ford cosworth dfv 3.0l v8 row 6 : 38 | gt | 52 | ecurie du nord | william vollery roger dorchy eric chapuis | porsche 911 carrera rsr | porsche 3.0l flat-6 row 7 : 39 | t | 98 | auto mazda claude bouchet | claude bouchet jean rondeau | mazda rx-3 | mazda 12a 1.2l 2-rotor row 8 : 40 | gt | 57 | ganto racing | john rulon-miller tom waugh serge godard | porsche 911 carrera rsr | porsche 3.0l flat-6 row 9 : 41 | gt | 60 | gelo racing team | toine hezemans manfred schurti | porsche 911 carrera rsr | porsche 3.0l flat-6 row 10 : 42 | gt | 68 | guy verrier | guy verrier florian vetsch jean-robert corthay | porsche 911 carrera rs | porsche 3.0l flat-6 row 11 : 43 | gt | 7 | beurlys international auto | pietro polese willer | de tomaso pantera | ford 5.8l v8 row 12 : 44 | t | 93 | herve poulain | herve poulain sam posey jean guichet | bmw 3.0csl | bmw 3.5l i6 row 13 : 45 | s 2.0 | 26 | elf switzerland | marie-claude charmasson lella lombardi | renault-alpine a441 | renault 2.0l v6 row 14 : 46 | s 3.0 | 18 | sigma automotive co. ltd. | hiroshi fushida harukuni takah | sigma mc75 | toyota 2.3l turbo i4 row 15 : 47 | gt | 16 | joest racing / tebernum | clemens schickentanz hartwig bertrams | porsche 911 carrera rsr | porsche 3.0l flat-6 row 16 : 48 | gt | 96 | bonnemaison - thiaw | lucien nageotte gerard picard | porsche 911 carrera rsr | porsche 3.0l flat-6 row 17 : 49 | t | 95 | shark team | jean-claude guerie dominique fornage | ford capri rs | ford 3.0l v6 row 18 : 50 | s 3.0 | 97 | gitanes automobiles ligier | jean-pierre beltoise jean-pierre jarier | ligier js2 | maserati 3.0l v6 row 19 : 51 | s 3.0 | 12 | racing team schulthess | herve bayard heinz schulthess | lola t284 | ford cosworth dfv 3.0l v8 row 20 : 52 | s 2.0 | 40 | philippe mettetal | jean ragnotti michel lateste | tecma 755 | ford 1.8l i4 row 21 : 53 | gt ser. | 83 | jean-yves gadal | jean-yves gadal segolen | porsche 911 carrera rs | porsche 2.6l flat-6 row 22 : 54 | t | 90 | jean-claude aubriet | jean-claude aubriet depnic | bmw 3.0csl | bmw 3.5l i6
|
table_csv/204_864.csv
| 1 |
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3,
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3,
3,
3,
3,
3,
3,
3
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8,
9,
10,
11,
15,
16,
21,
23
]
}
|
[
"what are all the teams?",
"who in all was in the gt class?"
] | 2 |
gelo racing team, ecurie du nord, ganto racing, gelo racing team, guy verrier, beurlys international auto, joest racing / tebernum, bonnemaison - thiaw, jean-yves gadal, henri greder
|
[
"Pos",
"Class",
"No",
"Team",
"Drivers",
"Chassis",
"Engine"
] |
who in all was in the gt class?
|
[
[
"33",
"S 2.0",
"29",
"Societe ROC",
"Pierre-Marie Painvin Franz Hummel",
"Lola T292",
"ROC-Simca 2.0L I4"
],
[
"34",
"S 3.0",
"3",
"Christian Poirot",
"Christian Poirot Gerard Cuynet Guillermo Ortega",
"Porsche 908/2",
"Porsche 3.0L Flat-8"
],
[
"35",
"GT",
"59",
"Gelo Racing Team",
"Tim Schenken Howden Ganley",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"36",
"S 3.0",
"1",
"Wicky Racing Team",
"Max Cohen-Olivar Philippe Coran Joel Brachet",
"Porsche 908/2",
"Porsche 3.0L Flat-8"
],
[
"37",
"S 3.0",
"6",
"Gitanes Automobiles Ligier",
"Henri Pescarolo Francois Migault",
"Ligier JS2",
"Ford Cosworth DFV 3.0L V8"
],
[
"38",
"GT",
"52",
"Ecurie du Nord",
"William Vollery Roger Dorchy Eric Chapuis",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"39",
"T",
"98",
"Auto Mazda Claude Bouchet",
"Claude Bouchet Jean Rondeau",
"Mazda RX-3",
"Mazda 12A 1.2L 2-Rotor"
],
[
"40",
"GT",
"57",
"Ganto Racing",
"John Rulon-Miller Tom Waugh Serge Godard",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"41",
"GT",
"60",
"Gelo Racing Team",
"Toine Hezemans Manfred Schurti",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"42",
"GT",
"68",
"Guy Verrier",
"Guy Verrier Florian Vetsch Jean-Robert Corthay",
"Porsche 911 Carrera RS",
"Porsche 3.0L Flat-6"
],
[
"43",
"GT",
"7",
"Beurlys International Auto",
"Pietro Polese Willer",
"De Tomaso Pantera",
"Ford 5.8L V8"
],
[
"44",
"T",
"93",
"Herve Poulain",
"Herve Poulain Sam Posey Jean Guichet",
"BMW 3.0CSL",
"BMW 3.5L I6"
],
[
"45",
"S 2.0",
"26",
"Elf Switzerland",
"Marie-Claude Charmasson Lella Lombardi",
"Renault-Alpine A441",
"Renault 2.0L V6"
],
[
"46",
"S 3.0",
"18",
"Sigma Automotive Co. Ltd.",
"Hiroshi Fushida Harukuni Takah",
"Sigma MC75",
"Toyota 2.3L Turbo I4"
],
[
"47",
"GT",
"16",
"Joest Racing / Tebernum",
"Clemens Schickentanz Hartwig Bertrams",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"48",
"GT",
"96",
"Bonnemaison - Thiaw",
"Lucien Nageotte Gerard Picard",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"49",
"T",
"95",
"Shark Team",
"Jean-Claude Guerie Dominique Fornage",
"Ford Capri RS",
"Ford 3.0L V6"
],
[
"50",
"S 3.0",
"97",
"Gitanes Automobiles Ligier",
"Jean-Pierre Beltoise Jean-Pierre Jarier",
"Ligier JS2",
"Maserati 3.0L V6"
],
[
"51",
"S 3.0",
"12",
"Racing Team Schulthess",
"Herve Bayard Heinz Schulthess",
"Lola T284",
"Ford Cosworth DFV 3.0L V8"
],
[
"52",
"S 2.0",
"40",
"Philippe Mettetal",
"Jean Ragnotti Michel Lateste",
"Tecma 755",
"Ford 1.8L I4"
],
[
"53",
"GT Ser.",
"83",
"Jean-Yves Gadal",
"Jean-Yves Gadal Segolen",
"Porsche 911 Carrera RS",
"Porsche 2.6L Flat-6"
],
[
"54",
"T",
"90",
"Jean-Claude Aubriet",
"Jean-Claude Aubriet Depnic",
"BMW 3.0CSL",
"BMW 3.5L I6"
]
] |
[
"Gelo Racing Team",
"Ecurie du Nord",
"Ganto Racing",
"Gelo Racing Team",
"Guy Verrier",
"Beurlys International Auto",
"Joest Racing / Tebernum",
"Bonnemaison - Thiaw",
"Jean-Yves Gadal",
"Henri Greder"
] |
who in all was in the gt class? || what are all the teams?
|
nt-8495
|
col : pos | class | no | team | drivers | chassis | engine row 1 : 32 | s 2.0 | 27 | societe roc | laurent ferrier xavier lapeyre christian ethui | lola t294 | roc-simca 2.0l i4 row 2 : 33 | s 2.0 | 29 | societe roc | pierre-marie painvin franz hummel | lola t292 | roc-simca 2.0l i4 row 3 : 34 | s 3.0 | 3 | christian poirot | christian poirot gerard cuynet guillermo ortega | porsche 908/2 | porsche 3.0l flat-8 row 4 : 35 | gt | 59 | gelo racing team | tim schenken howden ganley | porsche 911 carrera rsr | porsche 3.0l flat-6 row 5 : 36 | s 3.0 | 1 | wicky racing team | max cohen-olivar philippe coran joel brachet | porsche 908/2 | porsche 3.0l flat-8 row 6 : 37 | s 3.0 | 6 | gitanes automobiles ligier | henri pescarolo francois migault | ligier js2 | ford cosworth dfv 3.0l v8 row 7 : 38 | gt | 52 | ecurie du nord | william vollery roger dorchy eric chapuis | porsche 911 carrera rsr | porsche 3.0l flat-6 row 8 : 39 | t | 98 | auto mazda claude bouchet | claude bouchet jean rondeau | mazda rx-3 | mazda 12a 1.2l 2-rotor row 9 : 40 | gt | 57 | ganto racing | john rulon-miller tom waugh serge godard | porsche 911 carrera rsr | porsche 3.0l flat-6 row 10 : 41 | gt | 60 | gelo racing team | toine hezemans manfred schurti | porsche 911 carrera rsr | porsche 3.0l flat-6 row 11 : 42 | gt | 68 | guy verrier | guy verrier florian vetsch jean-robert corthay | porsche 911 carrera rs | porsche 3.0l flat-6 row 12 : 43 | gt | 7 | beurlys international auto | pietro polese willer | de tomaso pantera | ford 5.8l v8 row 13 : 44 | t | 93 | herve poulain | herve poulain sam posey jean guichet | bmw 3.0csl | bmw 3.5l i6 row 14 : 45 | s 2.0 | 26 | elf switzerland | marie-claude charmasson lella lombardi | renault-alpine a441 | renault 2.0l v6 row 15 : 46 | s 3.0 | 18 | sigma automotive co. ltd. | hiroshi fushida harukuni takah | sigma mc75 | toyota 2.3l turbo i4 row 16 : 47 | gt | 16 | joest racing / tebernum | clemens schickentanz hartwig bertrams | porsche 911 carrera rsr | porsche 3.0l flat-6 row 17 : 48 | gt | 96 | bonnemaison - thiaw | lucien nageotte gerard picard | porsche 911 carrera rsr | porsche 3.0l flat-6 row 18 : 49 | t | 95 | shark team | jean-claude guerie dominique fornage | ford capri rs | ford 3.0l v6 row 19 : 50 | s 3.0 | 97 | gitanes automobiles ligier | jean-pierre beltoise jean-pierre jarier | ligier js2 | maserati 3.0l v6 row 20 : 51 | s 3.0 | 12 | racing team schulthess | herve bayard heinz schulthess | lola t284 | ford cosworth dfv 3.0l v8 row 21 : 53 | gt ser. | 83 | jean-yves gadal | jean-yves gadal segolen | porsche 911 carrera rs | porsche 2.6l flat-6 row 22 : 54 | t | 90 | jean-claude aubriet | jean-claude aubriet depnic | bmw 3.0csl | bmw 3.5l i6
|
table_csv/204_864.csv
| 2 |
{
"column_index": [
3
],
"row_index": [
8
]
}
|
[
"what are all the teams?",
"who in all was in the gt class?",
"of those, which was number 57?"
] | 2 |
ganto racing
|
[
"Pos",
"Class",
"No",
"Team",
"Drivers",
"Chassis",
"Engine"
] |
of those, which was number 57?
|
[
[
"32",
"S 2.0",
"27",
"Societe ROC",
"Laurent Ferrier Xavier Lapeyre Christian Ethui",
"Lola T294",
"ROC-Simca 2.0L I4"
],
[
"33",
"S 2.0",
"29",
"Societe ROC",
"Pierre-Marie Painvin Franz Hummel",
"Lola T292",
"ROC-Simca 2.0L I4"
],
[
"34",
"S 3.0",
"3",
"Christian Poirot",
"Christian Poirot Gerard Cuynet Guillermo Ortega",
"Porsche 908/2",
"Porsche 3.0L Flat-8"
],
[
"35",
"GT",
"59",
"Gelo Racing Team",
"Tim Schenken Howden Ganley",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"36",
"S 3.0",
"1",
"Wicky Racing Team",
"Max Cohen-Olivar Philippe Coran Joel Brachet",
"Porsche 908/2",
"Porsche 3.0L Flat-8"
],
[
"37",
"S 3.0",
"6",
"Gitanes Automobiles Ligier",
"Henri Pescarolo Francois Migault",
"Ligier JS2",
"Ford Cosworth DFV 3.0L V8"
],
[
"38",
"GT",
"52",
"Ecurie du Nord",
"William Vollery Roger Dorchy Eric Chapuis",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"39",
"T",
"98",
"Auto Mazda Claude Bouchet",
"Claude Bouchet Jean Rondeau",
"Mazda RX-3",
"Mazda 12A 1.2L 2-Rotor"
],
[
"40",
"GT",
"57",
"Ganto Racing",
"John Rulon-Miller Tom Waugh Serge Godard",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"41",
"GT",
"60",
"Gelo Racing Team",
"Toine Hezemans Manfred Schurti",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"42",
"GT",
"68",
"Guy Verrier",
"Guy Verrier Florian Vetsch Jean-Robert Corthay",
"Porsche 911 Carrera RS",
"Porsche 3.0L Flat-6"
],
[
"43",
"GT",
"7",
"Beurlys International Auto",
"Pietro Polese Willer",
"De Tomaso Pantera",
"Ford 5.8L V8"
],
[
"44",
"T",
"93",
"Herve Poulain",
"Herve Poulain Sam Posey Jean Guichet",
"BMW 3.0CSL",
"BMW 3.5L I6"
],
[
"45",
"S 2.0",
"26",
"Elf Switzerland",
"Marie-Claude Charmasson Lella Lombardi",
"Renault-Alpine A441",
"Renault 2.0L V6"
],
[
"46",
"S 3.0",
"18",
"Sigma Automotive Co. Ltd.",
"Hiroshi Fushida Harukuni Takah",
"Sigma MC75",
"Toyota 2.3L Turbo I4"
],
[
"47",
"GT",
"16",
"Joest Racing / Tebernum",
"Clemens Schickentanz Hartwig Bertrams",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"48",
"GT",
"96",
"Bonnemaison - Thiaw",
"Lucien Nageotte Gerard Picard",
"Porsche 911 Carrera RSR",
"Porsche 3.0L Flat-6"
],
[
"49",
"T",
"95",
"Shark Team",
"Jean-Claude Guerie Dominique Fornage",
"Ford Capri RS",
"Ford 3.0L V6"
],
[
"50",
"S 3.0",
"97",
"Gitanes Automobiles Ligier",
"Jean-Pierre Beltoise Jean-Pierre Jarier",
"Ligier JS2",
"Maserati 3.0L V6"
],
[
"51",
"S 3.0",
"12",
"Racing Team Schulthess",
"Herve Bayard Heinz Schulthess",
"Lola T284",
"Ford Cosworth DFV 3.0L V8"
],
[
"53",
"GT Ser.",
"83",
"Jean-Yves Gadal",
"Jean-Yves Gadal Segolen",
"Porsche 911 Carrera RS",
"Porsche 2.6L Flat-6"
],
[
"54",
"T",
"90",
"Jean-Claude Aubriet",
"Jean-Claude Aubriet Depnic",
"BMW 3.0CSL",
"BMW 3.5L I6"
]
] |
[
"Ganto Racing"
] |
of those, which was number 57? || who in all was in the gt class? | what are all the teams?
|
nt-12546
|
col : administrative area | area km2 | area sq mi | population | administrative centre row 1 : saint helena | 122.0 | 47 | 5,809 | jamestown row 2 : ascension island | 91.0 | 35 | 1,532 | georgetown row 3 : tristan da cunha | 184.0 | 71 | 388 | edinburgh of the seven seas row 4 : tristan da cunha | 98.0 | 38 | 382 | edinburgh of the seven seas row 5 : inaccessible island | 14.0 | 5 | 0 | denstone hut row 6 : nightingale island | 3.2 | 1 | 0 | west landing row 7 : gough island | 68.0 | 26 | 6 | transvaal bay row 8 : total | 397.0 | 153 | 7,729 | jamestown
|
table_csv/204_332.csv
| 0 |
{
"column_index": [
3
],
"row_index": [
0
]
}
|
[
"what is the population of the adminstrative area of saint helena?"
] | 0 |
5,809
|
[
"Administrative area",
"Area km2",
"Area sq mi",
"Population",
"Administrative centre"
] |
what is the population of the adminstrative area of saint helena?
|
[
[
"Saint Helena",
"122.0",
"47",
"5,809",
"Jamestown"
],
[
"Ascension Island",
"91.0",
"35",
"1,532",
"Georgetown"
],
[
"Tristan da Cunha",
"184.0",
"71",
"388",
"Edinburgh of the Seven Seas"
],
[
"Tristan da Cunha",
"98.0",
"38",
"382",
"Edinburgh of the Seven Seas"
],
[
"Inaccessible Island",
"14.0",
"5",
"0",
"denstone hut"
],
[
"Nightingale Island",
"3.2",
"1",
"0",
"West Landing"
],
[
"Gough Island",
"68.0",
"26",
"6",
"Transvaal Bay"
],
[
"Total",
"397.0",
"153",
"7,729",
"Jamestown"
]
] |
[
"5,809"
] |
what is the population of the adminstrative area of saint helena? ||
|
nt-12546
|
col : administrative area | area km2 | area sq mi | population | administrative centre row 1 : saint helena | 122.0 | 47 | 5,809 | jamestown row 2 : ascension island | 91.0 | 35 | 1,532 | georgetown row 3 : tristan da cunha | 184.0 | 71 | 388 | edinburgh of the seven seas row 4 : tristan da cunha | 98.0 | 38 | 382 | edinburgh of the seven seas row 5 : inaccessible island | 14.0 | 5 | 0 | denstone hut row 6 : nightingale island | 3.2 | 1 | 0 | west landing row 7 : gough island | 68.0 | 26 | 6 | transvaal bay row 8 : total | 397.0 | 153 | 7,729 | jamestown
|
table_csv/204_332.csv
| 1 |
{
"column_index": [
0
],
"row_index": [
1
]
}
|
[
"what is the population of the adminstrative area of saint helena?",
"who has the second highest population?"
] | 0 |
ascension island
|
[
"Administrative area",
"Area km2",
"Area sq mi",
"Population",
"Administrative centre"
] |
who has the second highest population?
|
[
[
"Saint Helena",
"122.0",
"47",
"5,809",
"Jamestown"
],
[
"Ascension Island",
"91.0",
"35",
"1,532",
"Georgetown"
],
[
"Tristan da Cunha",
"184.0",
"71",
"388",
"Edinburgh of the Seven Seas"
],
[
"Tristan da Cunha",
"98.0",
"38",
"382",
"Edinburgh of the Seven Seas"
],
[
"Inaccessible Island",
"14.0",
"5",
"0",
"denstone hut"
],
[
"Nightingale Island",
"3.2",
"1",
"0",
"West Landing"
],
[
"Gough Island",
"68.0",
"26",
"6",
"Transvaal Bay"
],
[
"Total",
"397.0",
"153",
"7,729",
"Jamestown"
]
] |
[
"Ascension Island"
] |
who has the second highest population? || what is the population of the adminstrative area of saint helena?
|
nt-12546
|
col : administrative area | area km2 | area sq mi | population | administrative centre row 1 : saint helena | 122.0 | 47 | 5,809 | jamestown row 2 : ascension island | 91.0 | 35 | 1,532 | georgetown row 3 : tristan da cunha | 184.0 | 71 | 388 | edinburgh of the seven seas row 4 : tristan da cunha | 98.0 | 38 | 382 | edinburgh of the seven seas row 5 : inaccessible island | 14.0 | 5 | 0 | denstone hut row 6 : nightingale island | 3.2 | 1 | 0 | west landing row 7 : gough island | 68.0 | 26 | 6 | transvaal bay row 8 : total | 397.0 | 153 | 7,729 | jamestown
|
table_csv/204_332.csv
| 2 |
{
"column_index": [
0
],
"row_index": [
5
]
}
|
[
"what is the population of the adminstrative area of saint helena?",
"who has the second highest population?",
"who has the lowest population?"
] | 0 |
nightingale island
|
[
"Administrative area",
"Area km2",
"Area sq mi",
"Population",
"Administrative centre"
] |
who has the lowest population?
|
[
[
"Saint Helena",
"122.0",
"47",
"5,809",
"Jamestown"
],
[
"Ascension Island",
"91.0",
"35",
"1,532",
"Georgetown"
],
[
"Tristan da Cunha",
"184.0",
"71",
"388",
"Edinburgh of the Seven Seas"
],
[
"Tristan da Cunha",
"98.0",
"38",
"382",
"Edinburgh of the Seven Seas"
],
[
"Inaccessible Island",
"14.0",
"5",
"0",
"denstone hut"
],
[
"Nightingale Island",
"3.2",
"1",
"0",
"West Landing"
],
[
"Gough Island",
"68.0",
"26",
"6",
"Transvaal Bay"
],
[
"Total",
"397.0",
"153",
"7,729",
"Jamestown"
]
] |
[
"Nightingale Island"
] |
who has the lowest population? || who has the second highest population? | what is the population of the adminstrative area of saint helena?
|
nt-12546
|
col : administrative area | area km2 | area sq mi | population | administrative centre row 1 : saint helena | 122.0 | 47 | 5,809 | jamestown row 2 : ascension island | 91.0 | 35 | 1,532 | georgetown row 3 : tristan da cunha | 184.0 | 71 | 388 | edinburgh of the seven seas row 4 : tristan da cunha | 98.0 | 38 | 382 | edinburgh of the seven seas row 5 : inaccessible island | 14.0 | 5 | 0 | denstone hut row 6 : nightingale island | 3.2 | 1 | 0 | west landing row 7 : gough island | 68.0 | 26 | 6 | transvaal bay row 8 : total | 397.0 | 153 | 7,729 | jamestown
|
table_csv/204_332.csv
| 0 |
{
"column_index": [
2,
2,
2,
2,
2,
2,
2
],
"row_index": [
0,
1,
2,
3,
4,
5,
6
]
}
|
[
"what are the sq miles of the cities?"
] | 1 |
47, 35, 71, 38, 5, 1, 26
|
[
"Administrative area",
"Area km2",
"Area sq mi",
"Population",
"Administrative centre"
] |
what are the sq miles of the cities?
|
[
[
"Saint Helena",
"122.0",
"47",
"5,809",
"Jamestown"
],
[
"Ascension Island",
"91.0",
"35",
"1,532",
"Georgetown"
],
[
"Tristan da Cunha",
"184.0",
"71",
"388",
"Edinburgh of the Seven Seas"
],
[
"Tristan da Cunha",
"98.0",
"38",
"382",
"Edinburgh of the Seven Seas"
],
[
"Inaccessible Island",
"14.0",
"5",
"0",
"denstone hut"
],
[
"Nightingale Island",
"3.2",
"1",
"0",
"West Landing"
],
[
"Gough Island",
"68.0",
"26",
"6",
"Transvaal Bay"
],
[
"Total",
"397.0",
"153",
"7,729",
"Jamestown"
]
] |
[
"47",
"35",
"71",
"38",
"5",
"1",
"26"
] |
what are the sq miles of the cities? ||
|
nt-12546
|
col : administrative area | area km2 | area sq mi | population | administrative centre row 1 : saint helena | 122.0 | 47 | 5,809 | jamestown row 2 : ascension island | 91.0 | 35 | 1,532 | georgetown row 3 : tristan da cunha | 184.0 | 71 | 388 | edinburgh of the seven seas row 4 : tristan da cunha | 98.0 | 38 | 382 | edinburgh of the seven seas row 5 : inaccessible island | 14.0 | 5 | 0 | denstone hut row 6 : nightingale island | 3.2 | 1 | 0 | west landing row 7 : gough island | 68.0 | 26 | 6 | transvaal bay row 8 : total | 397.0 | 153 | 7,729 | jamestown
|
table_csv/204_332.csv
| 1 |
{
"column_index": [
2
],
"row_index": [
5
]
}
|
[
"what are the sq miles of the cities?",
"of these values which one is the lowest?"
] | 1 |
1
|
[
"Administrative area",
"Area km2",
"Area sq mi",
"Population",
"Administrative centre"
] |
of these values which one is the lowest?
|
[
[
"Saint Helena",
"122.0",
"47",
"5,809",
"Jamestown"
],
[
"Ascension Island",
"91.0",
"35",
"1,532",
"Georgetown"
],
[
"Tristan da Cunha",
"184.0",
"71",
"388",
"Edinburgh of the Seven Seas"
],
[
"Tristan da Cunha",
"98.0",
"38",
"382",
"Edinburgh of the Seven Seas"
],
[
"Inaccessible Island",
"14.0",
"5",
"0",
"denstone hut"
],
[
"Nightingale Island",
"3.2",
"1",
"0",
"West Landing"
],
[
"Gough Island",
"68.0",
"26",
"6",
"Transvaal Bay"
],
[
"Total",
"397.0",
"153",
"7,729",
"Jamestown"
]
] |
[
"1"
] |
of these values which one is the lowest? || what are the sq miles of the cities?
|
nt-12546
|
col : administrative area | area km2 | area sq mi | population | administrative centre row 1 : saint helena | 122.0 | 47 | 5,809 | jamestown row 2 : ascension island | 91.0 | 35 | 1,532 | georgetown row 3 : tristan da cunha | 184.0 | 71 | 388 | edinburgh of the seven seas row 4 : tristan da cunha | 98.0 | 38 | 382 | edinburgh of the seven seas row 5 : inaccessible island | 14.0 | 5 | 0 | denstone hut row 6 : nightingale island | 3.2 | 1 | 0 | west landing row 7 : gough island | 68.0 | 26 | 6 | transvaal bay row 8 : total | 397.0 | 153 | 7,729 | jamestown
|
table_csv/204_332.csv
| 2 |
{
"column_index": [
0
],
"row_index": [
5
]
}
|
[
"what are the sq miles of the cities?",
"of these values which one is the lowest?",
"what administrative area has this value?"
] | 1 |
nightingale island
|
[
"Administrative area",
"Area km2",
"Area sq mi",
"Population",
"Administrative centre"
] |
what administrative area has this value?
|
[
[
"Saint Helena",
"122.0",
"47",
"5,809",
"Jamestown"
],
[
"Ascension Island",
"91.0",
"35",
"1,532",
"Georgetown"
],
[
"Tristan da Cunha",
"184.0",
"71",
"388",
"Edinburgh of the Seven Seas"
],
[
"Tristan da Cunha",
"98.0",
"38",
"382",
"Edinburgh of the Seven Seas"
],
[
"Inaccessible Island",
"14.0",
"5",
"0",
"denstone hut"
],
[
"Nightingale Island",
"3.2",
"1",
"0",
"West Landing"
],
[
"Gough Island",
"68.0",
"26",
"6",
"Transvaal Bay"
],
[
"Total",
"397.0",
"153",
"7,729",
"Jamestown"
]
] |
[
"Nightingale Island"
] |
what administrative area has this value? || of these values which one is the lowest? | what are the sq miles of the cities?
|
nt-12546
|
col : administrative area | area km2 | area sq mi | population | administrative centre row 1 : saint helena | 122.0 | 47 | 5,809 | jamestown row 2 : ascension island | 91.0 | 35 | 1,532 | georgetown row 3 : tristan da cunha | 184.0 | 71 | 388 | edinburgh of the seven seas row 4 : tristan da cunha | 98.0 | 38 | 382 | edinburgh of the seven seas row 5 : inaccessible island | 14.0 | 5 | 0 | denstone hut row 6 : nightingale island | 3.2 | 1 | 0 | west landing row 7 : gough island | 68.0 | 26 | 6 | transvaal bay row 8 : total | 397.0 | 153 | 7,729 | jamestown
|
table_csv/204_332.csv
| 0 |
{
"column_index": [
0,
0,
0,
0,
0
],
"row_index": [
1,
3,
4,
5,
6
]
}
|
[
"which areas have less than 100 square kilometers in area?"
] | 2 |
ascension island, tristan da cunha, inaccessible island, nightingale island, gough island
|
[
"Administrative area",
"Area km2",
"Area sq mi",
"Population",
"Administrative centre"
] |
which areas have less than 100 square kilometers in area?
|
[
[
"Saint Helena",
"122.0",
"47",
"5,809",
"Jamestown"
],
[
"Ascension Island",
"91.0",
"35",
"1,532",
"Georgetown"
],
[
"Tristan da Cunha",
"184.0",
"71",
"388",
"Edinburgh of the Seven Seas"
],
[
"Tristan da Cunha",
"98.0",
"38",
"382",
"Edinburgh of the Seven Seas"
],
[
"Inaccessible Island",
"14.0",
"5",
"0",
"denstone hut"
],
[
"Nightingale Island",
"3.2",
"1",
"0",
"West Landing"
],
[
"Gough Island",
"68.0",
"26",
"6",
"Transvaal Bay"
],
[
"Total",
"397.0",
"153",
"7,729",
"Jamestown"
]
] |
[
"Ascension Island",
"Tristan da Cunha",
"Inaccessible Island",
"Nightingale Island",
"Gough Island"
] |
which areas have less than 100 square kilometers in area? ||
|
nt-12546
|
col : administrative area | area km2 | area sq mi | population | administrative centre row 1 : saint helena | 122.0 | 47 | 5,809 | jamestown row 2 : ascension island | 91.0 | 35 | 1,532 | georgetown row 3 : tristan da cunha | 184.0 | 71 | 388 | edinburgh of the seven seas row 4 : tristan da cunha | 98.0 | 38 | 382 | edinburgh of the seven seas row 5 : inaccessible island | 14.0 | 5 | 0 | denstone hut row 6 : nightingale island | 3.2 | 1 | 0 | west landing row 7 : gough island | 68.0 | 26 | 6 | transvaal bay row 8 : total | 397.0 | 153 | 7,729 | jamestown
|
table_csv/204_332.csv
| 1 |
{
"column_index": [
0,
0,
0
],
"row_index": [
4,
5,
6
]
}
|
[
"which areas have less than 100 square kilometers in area?",
"of these, which have less than 30 square miles in area?"
] | 2 |
inaccessible island, nightingale island, gough island
|
[
"Administrative area",
"Area km2",
"Area sq mi",
"Population",
"Administrative centre"
] |
of these, which have less than 30 square miles in area?
|
[
[
"Saint Helena",
"122.0",
"47",
"5,809",
"Jamestown"
],
[
"Ascension Island",
"91.0",
"35",
"1,532",
"Georgetown"
],
[
"Tristan da Cunha",
"184.0",
"71",
"388",
"Edinburgh of the Seven Seas"
],
[
"Tristan da Cunha",
"98.0",
"38",
"382",
"Edinburgh of the Seven Seas"
],
[
"Inaccessible Island",
"14.0",
"5",
"0",
"denstone hut"
],
[
"Nightingale Island",
"3.2",
"1",
"0",
"West Landing"
],
[
"Gough Island",
"68.0",
"26",
"6",
"Transvaal Bay"
],
[
"Total",
"397.0",
"153",
"7,729",
"Jamestown"
]
] |
[
"Inaccessible Island",
"Nightingale Island",
"Gough Island"
] |
of these, which have less than 30 square miles in area? || which areas have less than 100 square kilometers in area?
|
nt-12546
|
col : administrative area | area km2 | area sq mi | population | administrative centre row 1 : saint helena | 122.0 | 47 | 5,809 | jamestown row 2 : ascension island | 91.0 | 35 | 1,532 | georgetown row 3 : tristan da cunha | 184.0 | 71 | 388 | edinburgh of the seven seas row 4 : tristan da cunha | 98.0 | 38 | 382 | edinburgh of the seven seas row 5 : inaccessible island | 14.0 | 5 | 0 | denstone hut row 6 : nightingale island | 3.2 | 1 | 0 | west landing row 7 : gough island | 68.0 | 26 | 6 | transvaal bay row 8 : total | 397.0 | 153 | 7,729 | jamestown
|
table_csv/204_332.csv
| 2 |
{
"column_index": [
0,
0
],
"row_index": [
4,
5
]
}
|
[
"which areas have less than 100 square kilometers in area?",
"of these, which have less than 30 square miles in area?",
"of the remaining, which ones have no population?"
] | 2 |
inaccessible island, nightingale island
|
[
"Administrative area",
"Area km2",
"Area sq mi",
"Population",
"Administrative centre"
] |
of the remaining, which ones have no population?
|
[
[
"Saint Helena",
"122.0",
"47",
"5,809",
"Jamestown"
],
[
"Ascension Island",
"91.0",
"35",
"1,532",
"Georgetown"
],
[
"Tristan da Cunha",
"184.0",
"71",
"388",
"Edinburgh of the Seven Seas"
],
[
"Tristan da Cunha",
"98.0",
"38",
"382",
"Edinburgh of the Seven Seas"
],
[
"Inaccessible Island",
"14.0",
"5",
"0",
"denstone hut"
],
[
"Nightingale Island",
"3.2",
"1",
"0",
"West Landing"
],
[
"Gough Island",
"68.0",
"26",
"6",
"Transvaal Bay"
],
[
"Total",
"397.0",
"153",
"7,729",
"Jamestown"
]
] |
[
"Inaccessible Island",
"Nightingale Island"
] |
of the remaining, which ones have no population? || of these, which have less than 30 square miles in area? | which areas have less than 100 square kilometers in area?
|
nt-12546
|
col : administrative area | area km2 | area sq mi | population | administrative centre row 1 : saint helena | 122.0 | 47 | 5,809 | jamestown row 2 : ascension island | 91.0 | 35 | 1,532 | georgetown row 3 : tristan da cunha | 184.0 | 71 | 388 | edinburgh of the seven seas row 4 : tristan da cunha | 98.0 | 38 | 382 | edinburgh of the seven seas row 5 : inaccessible island | 14.0 | 5 | 0 | denstone hut row 6 : nightingale island | 3.2 | 1 | 0 | west landing row 7 : gough island | 68.0 | 26 | 6 | transvaal bay row 8 : total | 397.0 | 153 | 7,729 | jamestown
|
table_csv/204_332.csv
| 3 |
{
"column_index": [
0
],
"row_index": [
5
]
}
|
[
"which areas have less than 100 square kilometers in area?",
"of these, which have less than 30 square miles in area?",
"of the remaining, which ones have no population?",
"from the last two, which is administered by west landing?"
] | 2 |
nightingale island
|
[
"Administrative area",
"Area km2",
"Area sq mi",
"Population",
"Administrative centre"
] |
from the last two, which is administered by west landing?
|
[
[
"Saint Helena",
"122.0",
"47",
"5,809",
"Jamestown"
],
[
"Ascension Island",
"91.0",
"35",
"1,532",
"Georgetown"
],
[
"Tristan da Cunha",
"184.0",
"71",
"388",
"Edinburgh of the Seven Seas"
],
[
"Tristan da Cunha",
"98.0",
"38",
"382",
"Edinburgh of the Seven Seas"
],
[
"Inaccessible Island",
"14.0",
"5",
"0",
"denstone hut"
],
[
"Nightingale Island",
"3.2",
"1",
"0",
"West Landing"
],
[
"Gough Island",
"68.0",
"26",
"6",
"Transvaal Bay"
],
[
"Total",
"397.0",
"153",
"7,729",
"Jamestown"
]
] |
[
"Nightingale Island"
] |
from the last two, which is administered by west landing? || of the remaining, which ones have no population? | of these, which have less than 30 square miles in area? | which areas have less than 100 square kilometers in area?
|
nt-12545
|
col : club | chinese | city | home stadium | capacity | average attendance row 1 : beijing guoanth | bei jing guo an | beijing | workers stadium | 62,000 | 33,342 row 2 : changchun yatai | chang chun ya tai | changchun | development area stadium | 25,000 | 10,067 row 3 : changsha ginde | chang sha jin de | changsha | helong stadium | 55,000 | 10,152 row 4 : chongqing lifan | zhong qing li fan | chongqing | chongqing olympic sports center | 58,680 | 11,433 row 5 : dalian shide | da lian shi de | dalian | jinzhou stadium | 30,775 | 12,307 row 6 : hangzhou greentown | hang zhou lu cheng | hangzhou | yellow dragon stadium | 51,139 | 14,550 row 7 : henan construction | he nan jian ye | zhengzhou | hanghai stadium | 29,000 | 18,630 row 8 : jiangsu sainty | jiang su shun tian | nanjing | nanjing olympic stadium | 61,443 | 10,667 row 9 : liaoning whowinp | liao zhu hong yun | shenyang | shenyang tiexi stadium | 24,000 | 10,100 row 10 : nanchang hengyuanp | nan chang heng yuan | nanchang | nanchang bayi stadium | 20,000 | 11,680 row 11 : qingdao jonoon | qing dao zhong neng | qingdao | qingdao tiantai stadium | 20,525 | 6,247 row 12 : shaanxi chan-ba | shan xi chan ba | xi'an | shaanxi province stadium | 47,565 | 28,053 row 13 : shandong luneng | shan dong lu neng | jinan | shandong provincial stadium | 43,700 | 15,901 row 14 : shanghai shenhua | shang hai shen hua | shanghai | hongkou stadium | 33,060 | 12,963 row 15 : shenzhen ruby | shen zhen hong zuan | shenzhen | shenzhen stadium | 32,500 | 12,439 row 16 : tianjin teda | tian jin tai da | tianjin | teda football stadium | 36,390 | 14,757 row 17 : total | total | total | total | total | 14,581
|
table_csv/203_581.csv
| 0 |
{
"column_index": [
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
]
}
|
[
"what are the stadiums?"
] | 0 |
workers stadium, development area stadium, helong stadium, chongqing olympic sports center, jinzhou stadium, yellow dragon stadium, hanghai stadium, nanjing olympic stadium, shenyang tiexi stadium, nanchang bayi stadium, qingdao tiantai stadium, shaanxi province stadium, shandong provincial stadium, hongkou stadium, shenzhen stadium, teda football stadium
|
[
"Club",
"Chinese",
"City",
"Home stadium",
"Capacity",
"Average attendance"
] |
what are the stadiums?
|
[
[
"Beijing GuoanTH",
"Bei Jing Guo An",
"Beijing",
"Workers Stadium",
"62,000",
"33,342"
],
[
"Changchun Yatai",
"Chang Chun Ya Tai",
"Changchun",
"Development Area Stadium",
"25,000",
"10,067"
],
[
"Changsha Ginde",
"Chang Sha Jin De",
"Changsha",
"Helong Stadium",
"55,000",
"10,152"
],
[
"Chongqing Lifan",
"Zhong Qing Li Fan",
"Chongqing",
"Chongqing Olympic Sports Center",
"58,680",
"11,433"
],
[
"Dalian Shide",
"Da Lian Shi De",
"Dalian",
"Jinzhou Stadium",
"30,775",
"12,307"
],
[
"Hangzhou Greentown",
"Hang Zhou Lu Cheng",
"Hangzhou",
"Yellow Dragon Stadium",
"51,139",
"14,550"
],
[
"Henan Construction",
"He Nan Jian Ye",
"Zhengzhou",
"Hanghai Stadium",
"29,000",
"18,630"
],
[
"Jiangsu Sainty",
"Jiang Su Shun Tian",
"Nanjing",
"Nanjing Olympic Stadium",
"61,443",
"10,667"
],
[
"Liaoning WhowinP",
"Liao Zhu Hong Yun",
"Shenyang",
"Shenyang Tiexi Stadium",
"24,000",
"10,100"
],
[
"Nanchang HengyuanP",
"Nan Chang Heng Yuan",
"Nanchang",
"Nanchang Bayi Stadium",
"20,000",
"11,680"
],
[
"Qingdao Jonoon",
"Qing Dao Zhong Neng",
"Qingdao",
"Qingdao Tiantai Stadium",
"20,525",
"6,247"
],
[
"Shaanxi Chan-Ba",
"Shan Xi Chan Ba",
"Xi'an",
"Shaanxi Province Stadium",
"47,565",
"28,053"
],
[
"Shandong Luneng",
"Shan Dong Lu Neng",
"Jinan",
"Shandong Provincial Stadium",
"43,700",
"15,901"
],
[
"Shanghai Shenhua",
"Shang Hai Shen Hua",
"Shanghai",
"Hongkou Stadium",
"33,060",
"12,963"
],
[
"Shenzhen Ruby",
"Shen Zhen Hong Zuan",
"Shenzhen",
"Shenzhen Stadium",
"32,500",
"12,439"
],
[
"Tianjin Teda",
"Tian Jin Tai Da",
"Tianjin",
"TEDA Football Stadium",
"36,390",
"14,757"
],
[
"Total",
"Total",
"Total",
"Total",
"Total",
"14,581"
]
] |
[
"Workers Stadium",
"Development Area Stadium",
"Helong Stadium",
"Chongqing Olympic Sports Center",
"Jinzhou Stadium",
"Yellow Dragon Stadium",
"Hanghai Stadium",
"Nanjing Olympic Stadium",
"Shenyang Tiexi Stadium",
"Nanchang Bayi Stadium",
"Qingdao Tiantai Stadium",
"Shaanxi Province Stadium",
"Shandong Provincial Stadium",
"Hongkou Stadium",
"Shenzhen Stadium",
"TEDA Football Stadium"
] |
what are the stadiums? ||
|
nt-12545
|
col : club | chinese | city | home stadium | capacity | average attendance row 1 : beijing guoanth | bei jing guo an | beijing | workers stadium | 62,000 | 33,342 row 2 : changchun yatai | chang chun ya tai | changchun | development area stadium | 25,000 | 10,067 row 3 : changsha ginde | chang sha jin de | changsha | helong stadium | 55,000 | 10,152 row 4 : chongqing lifan | zhong qing li fan | chongqing | chongqing olympic sports center | 58,680 | 11,433 row 5 : dalian shide | da lian shi de | dalian | jinzhou stadium | 30,775 | 12,307 row 6 : hangzhou greentown | hang zhou lu cheng | hangzhou | yellow dragon stadium | 51,139 | 14,550 row 7 : henan construction | he nan jian ye | zhengzhou | hanghai stadium | 29,000 | 18,630 row 8 : jiangsu sainty | jiang su shun tian | nanjing | nanjing olympic stadium | 61,443 | 10,667 row 9 : liaoning whowinp | liao zhu hong yun | shenyang | shenyang tiexi stadium | 24,000 | 10,100 row 10 : nanchang hengyuanp | nan chang heng yuan | nanchang | nanchang bayi stadium | 20,000 | 11,680 row 11 : qingdao jonoon | qing dao zhong neng | qingdao | qingdao tiantai stadium | 20,525 | 6,247 row 12 : shaanxi chan-ba | shan xi chan ba | xi'an | shaanxi province stadium | 47,565 | 28,053 row 13 : shandong luneng | shan dong lu neng | jinan | shandong provincial stadium | 43,700 | 15,901 row 14 : shanghai shenhua | shang hai shen hua | shanghai | hongkou stadium | 33,060 | 12,963 row 15 : shenzhen ruby | shen zhen hong zuan | shenzhen | shenzhen stadium | 32,500 | 12,439 row 16 : tianjin teda | tian jin tai da | tianjin | teda football stadium | 36,390 | 14,757 row 17 : total | total | total | total | total | 14,581
|
table_csv/203_581.csv
| 1 |
{
"column_index": [
3
],
"row_index": [
10
]
}
|
[
"what are the stadiums?",
"which of these has the lowest attendance?"
] | 0 |
qingdao tiantai stadium
|
[
"Club",
"Chinese",
"City",
"Home stadium",
"Capacity",
"Average attendance"
] |
which of these has the lowest attendance?
|
[
[
"Beijing GuoanTH",
"Bei Jing Guo An",
"Beijing",
"Workers Stadium",
"62,000",
"33,342"
],
[
"Changchun Yatai",
"Chang Chun Ya Tai",
"Changchun",
"Development Area Stadium",
"25,000",
"10,067"
],
[
"Changsha Ginde",
"Chang Sha Jin De",
"Changsha",
"Helong Stadium",
"55,000",
"10,152"
],
[
"Chongqing Lifan",
"Zhong Qing Li Fan",
"Chongqing",
"Chongqing Olympic Sports Center",
"58,680",
"11,433"
],
[
"Dalian Shide",
"Da Lian Shi De",
"Dalian",
"Jinzhou Stadium",
"30,775",
"12,307"
],
[
"Hangzhou Greentown",
"Hang Zhou Lu Cheng",
"Hangzhou",
"Yellow Dragon Stadium",
"51,139",
"14,550"
],
[
"Henan Construction",
"He Nan Jian Ye",
"Zhengzhou",
"Hanghai Stadium",
"29,000",
"18,630"
],
[
"Jiangsu Sainty",
"Jiang Su Shun Tian",
"Nanjing",
"Nanjing Olympic Stadium",
"61,443",
"10,667"
],
[
"Liaoning WhowinP",
"Liao Zhu Hong Yun",
"Shenyang",
"Shenyang Tiexi Stadium",
"24,000",
"10,100"
],
[
"Nanchang HengyuanP",
"Nan Chang Heng Yuan",
"Nanchang",
"Nanchang Bayi Stadium",
"20,000",
"11,680"
],
[
"Qingdao Jonoon",
"Qing Dao Zhong Neng",
"Qingdao",
"Qingdao Tiantai Stadium",
"20,525",
"6,247"
],
[
"Shaanxi Chan-Ba",
"Shan Xi Chan Ba",
"Xi'an",
"Shaanxi Province Stadium",
"47,565",
"28,053"
],
[
"Shandong Luneng",
"Shan Dong Lu Neng",
"Jinan",
"Shandong Provincial Stadium",
"43,700",
"15,901"
],
[
"Shanghai Shenhua",
"Shang Hai Shen Hua",
"Shanghai",
"Hongkou Stadium",
"33,060",
"12,963"
],
[
"Shenzhen Ruby",
"Shen Zhen Hong Zuan",
"Shenzhen",
"Shenzhen Stadium",
"32,500",
"12,439"
],
[
"Tianjin Teda",
"Tian Jin Tai Da",
"Tianjin",
"TEDA Football Stadium",
"36,390",
"14,757"
],
[
"Total",
"Total",
"Total",
"Total",
"Total",
"14,581"
]
] |
[
"Qingdao Tiantai Stadium"
] |
which of these has the lowest attendance? || what are the stadiums?
|
nt-12545
|
col : club | chinese | city | home stadium | capacity | average attendance row 1 : beijing guoanth | bei jing guo an | beijing | workers stadium | 62,000 | 33,342 row 2 : changchun yatai | chang chun ya tai | changchun | development area stadium | 25,000 | 10,067 row 3 : changsha ginde | chang sha jin de | changsha | helong stadium | 55,000 | 10,152 row 4 : chongqing lifan | zhong qing li fan | chongqing | chongqing olympic sports center | 58,680 | 11,433 row 5 : dalian shide | da lian shi de | dalian | jinzhou stadium | 30,775 | 12,307 row 6 : hangzhou greentown | hang zhou lu cheng | hangzhou | yellow dragon stadium | 51,139 | 14,550 row 7 : henan construction | he nan jian ye | zhengzhou | hanghai stadium | 29,000 | 18,630 row 8 : jiangsu sainty | jiang su shun tian | nanjing | nanjing olympic stadium | 61,443 | 10,667 row 9 : liaoning whowinp | liao zhu hong yun | shenyang | shenyang tiexi stadium | 24,000 | 10,100 row 10 : nanchang hengyuanp | nan chang heng yuan | nanchang | nanchang bayi stadium | 20,000 | 11,680 row 11 : qingdao jonoon | qing dao zhong neng | qingdao | qingdao tiantai stadium | 20,525 | 6,247 row 12 : shaanxi chan-ba | shan xi chan ba | xi'an | shaanxi province stadium | 47,565 | 28,053 row 13 : shandong luneng | shan dong lu neng | jinan | shandong provincial stadium | 43,700 | 15,901 row 14 : shanghai shenhua | shang hai shen hua | shanghai | hongkou stadium | 33,060 | 12,963 row 15 : shenzhen ruby | shen zhen hong zuan | shenzhen | shenzhen stadium | 32,500 | 12,439 row 16 : tianjin teda | tian jin tai da | tianjin | teda football stadium | 36,390 | 14,757 row 17 : total | total | total | total | total | 14,581
|
table_csv/203_581.csv
| 0 |
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}
|
[
"which stadiums are there?"
] | 1 |
workers stadium, 33,342, development area stadium, 10,067, helong stadium, 10,152, chongqing olympic sports center, 11,433, jinzhou stadium, 12,307, yellow dragon stadium, 14,550, hanghai stadium, 18,630, nanjing olympic stadium, 10,667, shenyang tiexi stadium, 10,100, nanchang bayi stadium, 11,680, qingdao tiantai stadium, 6,247, shaanxi province stadium, 28,053, shandong provincial stadium, 15,901, hongkou stadium, 12,963, shenzhen stadium, 12,439, teda football stadium, 14,757
|
[
"Club",
"Chinese",
"City",
"Home stadium",
"Capacity",
"Average attendance"
] |
which stadiums are there?
|
[
[
"Beijing GuoanTH",
"Bei Jing Guo An",
"Beijing",
"Workers Stadium",
"62,000",
"33,342"
],
[
"Changchun Yatai",
"Chang Chun Ya Tai",
"Changchun",
"Development Area Stadium",
"25,000",
"10,067"
],
[
"Changsha Ginde",
"Chang Sha Jin De",
"Changsha",
"Helong Stadium",
"55,000",
"10,152"
],
[
"Chongqing Lifan",
"Zhong Qing Li Fan",
"Chongqing",
"Chongqing Olympic Sports Center",
"58,680",
"11,433"
],
[
"Dalian Shide",
"Da Lian Shi De",
"Dalian",
"Jinzhou Stadium",
"30,775",
"12,307"
],
[
"Hangzhou Greentown",
"Hang Zhou Lu Cheng",
"Hangzhou",
"Yellow Dragon Stadium",
"51,139",
"14,550"
],
[
"Henan Construction",
"He Nan Jian Ye",
"Zhengzhou",
"Hanghai Stadium",
"29,000",
"18,630"
],
[
"Jiangsu Sainty",
"Jiang Su Shun Tian",
"Nanjing",
"Nanjing Olympic Stadium",
"61,443",
"10,667"
],
[
"Liaoning WhowinP",
"Liao Zhu Hong Yun",
"Shenyang",
"Shenyang Tiexi Stadium",
"24,000",
"10,100"
],
[
"Nanchang HengyuanP",
"Nan Chang Heng Yuan",
"Nanchang",
"Nanchang Bayi Stadium",
"20,000",
"11,680"
],
[
"Qingdao Jonoon",
"Qing Dao Zhong Neng",
"Qingdao",
"Qingdao Tiantai Stadium",
"20,525",
"6,247"
],
[
"Shaanxi Chan-Ba",
"Shan Xi Chan Ba",
"Xi'an",
"Shaanxi Province Stadium",
"47,565",
"28,053"
],
[
"Shandong Luneng",
"Shan Dong Lu Neng",
"Jinan",
"Shandong Provincial Stadium",
"43,700",
"15,901"
],
[
"Shanghai Shenhua",
"Shang Hai Shen Hua",
"Shanghai",
"Hongkou Stadium",
"33,060",
"12,963"
],
[
"Shenzhen Ruby",
"Shen Zhen Hong Zuan",
"Shenzhen",
"Shenzhen Stadium",
"32,500",
"12,439"
],
[
"Tianjin Teda",
"Tian Jin Tai Da",
"Tianjin",
"TEDA Football Stadium",
"36,390",
"14,757"
],
[
"Total",
"Total",
"Total",
"Total",
"Total",
"14,581"
]
] |
[
"Workers Stadium",
"33,342",
"Development Area Stadium",
"10,067",
"Helong Stadium",
"10,152",
"Chongqing Olympic Sports Center",
"11,433",
"Jinzhou Stadium",
"12,307",
"Yellow Dragon Stadium",
"14,550",
"Hanghai Stadium",
"18,630",
"Nanjing Olympic Stadium",
"10,667",
"Shenyang Tiexi Stadium",
"10,100",
"Nanchang Bayi Stadium",
"11,680",
"Qingdao Tiantai Stadium",
"6,247",
"Shaanxi Province Stadium",
"28,053",
"Shandong Provincial Stadium",
"15,901",
"Hongkou Stadium",
"12,963",
"Shenzhen Stadium",
"12,439",
"TEDA Football Stadium",
"14,757"
] |
which stadiums are there? ||
|
nt-12545
|
col : club | chinese | city | home stadium | capacity | average attendance row 1 : beijing guoanth | bei jing guo an | beijing | workers stadium | 62,000 | 33,342 row 2 : changchun yatai | chang chun ya tai | changchun | development area stadium | 25,000 | 10,067 row 3 : changsha ginde | chang sha jin de | changsha | helong stadium | 55,000 | 10,152 row 4 : chongqing lifan | zhong qing li fan | chongqing | chongqing olympic sports center | 58,680 | 11,433 row 5 : dalian shide | da lian shi de | dalian | jinzhou stadium | 30,775 | 12,307 row 6 : hangzhou greentown | hang zhou lu cheng | hangzhou | yellow dragon stadium | 51,139 | 14,550 row 7 : henan construction | he nan jian ye | zhengzhou | hanghai stadium | 29,000 | 18,630 row 8 : jiangsu sainty | jiang su shun tian | nanjing | nanjing olympic stadium | 61,443 | 10,667 row 9 : liaoning whowinp | liao zhu hong yun | shenyang | shenyang tiexi stadium | 24,000 | 10,100 row 10 : nanchang hengyuanp | nan chang heng yuan | nanchang | nanchang bayi stadium | 20,000 | 11,680 row 11 : qingdao jonoon | qing dao zhong neng | qingdao | qingdao tiantai stadium | 20,525 | 6,247 row 12 : shaanxi chan-ba | shan xi chan ba | xi'an | shaanxi province stadium | 47,565 | 28,053 row 13 : shandong luneng | shan dong lu neng | jinan | shandong provincial stadium | 43,700 | 15,901 row 14 : shanghai shenhua | shang hai shen hua | shanghai | hongkou stadium | 33,060 | 12,963 row 15 : shenzhen ruby | shen zhen hong zuan | shenzhen | shenzhen stadium | 32,500 | 12,439 row 16 : tianjin teda | tian jin tai da | tianjin | teda football stadium | 36,390 | 14,757 row 17 : total | total | total | total | total | 14,581
|
table_csv/203_581.csv
| 1 |
{
"column_index": [
5
],
"row_index": [
10
]
}
|
[
"which stadiums are there?",
"what the lowest average attendance?"
] | 1 |
6,247
|
[
"Club",
"Chinese",
"City",
"Home stadium",
"Capacity",
"Average attendance"
] |
what the lowest average attendance?
|
[
[
"Beijing GuoanTH",
"Bei Jing Guo An",
"Beijing",
"Workers Stadium",
"62,000",
"33,342"
],
[
"Changchun Yatai",
"Chang Chun Ya Tai",
"Changchun",
"Development Area Stadium",
"25,000",
"10,067"
],
[
"Changsha Ginde",
"Chang Sha Jin De",
"Changsha",
"Helong Stadium",
"55,000",
"10,152"
],
[
"Chongqing Lifan",
"Zhong Qing Li Fan",
"Chongqing",
"Chongqing Olympic Sports Center",
"58,680",
"11,433"
],
[
"Dalian Shide",
"Da Lian Shi De",
"Dalian",
"Jinzhou Stadium",
"30,775",
"12,307"
],
[
"Hangzhou Greentown",
"Hang Zhou Lu Cheng",
"Hangzhou",
"Yellow Dragon Stadium",
"51,139",
"14,550"
],
[
"Henan Construction",
"He Nan Jian Ye",
"Zhengzhou",
"Hanghai Stadium",
"29,000",
"18,630"
],
[
"Jiangsu Sainty",
"Jiang Su Shun Tian",
"Nanjing",
"Nanjing Olympic Stadium",
"61,443",
"10,667"
],
[
"Liaoning WhowinP",
"Liao Zhu Hong Yun",
"Shenyang",
"Shenyang Tiexi Stadium",
"24,000",
"10,100"
],
[
"Nanchang HengyuanP",
"Nan Chang Heng Yuan",
"Nanchang",
"Nanchang Bayi Stadium",
"20,000",
"11,680"
],
[
"Qingdao Jonoon",
"Qing Dao Zhong Neng",
"Qingdao",
"Qingdao Tiantai Stadium",
"20,525",
"6,247"
],
[
"Shaanxi Chan-Ba",
"Shan Xi Chan Ba",
"Xi'an",
"Shaanxi Province Stadium",
"47,565",
"28,053"
],
[
"Shandong Luneng",
"Shan Dong Lu Neng",
"Jinan",
"Shandong Provincial Stadium",
"43,700",
"15,901"
],
[
"Shanghai Shenhua",
"Shang Hai Shen Hua",
"Shanghai",
"Hongkou Stadium",
"33,060",
"12,963"
],
[
"Shenzhen Ruby",
"Shen Zhen Hong Zuan",
"Shenzhen",
"Shenzhen Stadium",
"32,500",
"12,439"
],
[
"Tianjin Teda",
"Tian Jin Tai Da",
"Tianjin",
"TEDA Football Stadium",
"36,390",
"14,757"
],
[
"Total",
"Total",
"Total",
"Total",
"Total",
"14,581"
]
] |
[
"6,247"
] |
what the lowest average attendance? || which stadiums are there?
|
nt-12545
|
col : club | chinese | city | home stadium | capacity | average attendance row 1 : beijing guoanth | bei jing guo an | beijing | workers stadium | 62,000 | 33,342 row 2 : changchun yatai | chang chun ya tai | changchun | development area stadium | 25,000 | 10,067 row 3 : changsha ginde | chang sha jin de | changsha | helong stadium | 55,000 | 10,152 row 4 : chongqing lifan | zhong qing li fan | chongqing | chongqing olympic sports center | 58,680 | 11,433 row 5 : dalian shide | da lian shi de | dalian | jinzhou stadium | 30,775 | 12,307 row 6 : hangzhou greentown | hang zhou lu cheng | hangzhou | yellow dragon stadium | 51,139 | 14,550 row 7 : henan construction | he nan jian ye | zhengzhou | hanghai stadium | 29,000 | 18,630 row 8 : jiangsu sainty | jiang su shun tian | nanjing | nanjing olympic stadium | 61,443 | 10,667 row 9 : liaoning whowinp | liao zhu hong yun | shenyang | shenyang tiexi stadium | 24,000 | 10,100 row 10 : nanchang hengyuanp | nan chang heng yuan | nanchang | nanchang bayi stadium | 20,000 | 11,680 row 11 : qingdao jonoon | qing dao zhong neng | qingdao | qingdao tiantai stadium | 20,525 | 6,247 row 12 : shaanxi chan-ba | shan xi chan ba | xi'an | shaanxi province stadium | 47,565 | 28,053 row 13 : shandong luneng | shan dong lu neng | jinan | shandong provincial stadium | 43,700 | 15,901 row 14 : shanghai shenhua | shang hai shen hua | shanghai | hongkou stadium | 33,060 | 12,963 row 15 : shenzhen ruby | shen zhen hong zuan | shenzhen | shenzhen stadium | 32,500 | 12,439 row 16 : tianjin teda | tian jin tai da | tianjin | teda football stadium | 36,390 | 14,757 row 17 : total | total | total | total | total | 14,581
|
table_csv/203_581.csv
| 2 |
{
"column_index": [
3
],
"row_index": [
10
]
}
|
[
"which stadiums are there?",
"what the lowest average attendance?",
"which stadium has that amount of attendance?"
] | 1 |
qingdao tiantai stadium
|
[
"Club",
"Chinese",
"City",
"Home stadium",
"Capacity",
"Average attendance"
] |
which stadium has that amount of attendance?
|
[
[
"Beijing GuoanTH",
"Bei Jing Guo An",
"Beijing",
"Workers Stadium",
"62,000",
"33,342"
],
[
"Changchun Yatai",
"Chang Chun Ya Tai",
"Changchun",
"Development Area Stadium",
"25,000",
"10,067"
],
[
"Changsha Ginde",
"Chang Sha Jin De",
"Changsha",
"Helong Stadium",
"55,000",
"10,152"
],
[
"Chongqing Lifan",
"Zhong Qing Li Fan",
"Chongqing",
"Chongqing Olympic Sports Center",
"58,680",
"11,433"
],
[
"Dalian Shide",
"Da Lian Shi De",
"Dalian",
"Jinzhou Stadium",
"30,775",
"12,307"
],
[
"Hangzhou Greentown",
"Hang Zhou Lu Cheng",
"Hangzhou",
"Yellow Dragon Stadium",
"51,139",
"14,550"
],
[
"Henan Construction",
"He Nan Jian Ye",
"Zhengzhou",
"Hanghai Stadium",
"29,000",
"18,630"
],
[
"Jiangsu Sainty",
"Jiang Su Shun Tian",
"Nanjing",
"Nanjing Olympic Stadium",
"61,443",
"10,667"
],
[
"Liaoning WhowinP",
"Liao Zhu Hong Yun",
"Shenyang",
"Shenyang Tiexi Stadium",
"24,000",
"10,100"
],
[
"Nanchang HengyuanP",
"Nan Chang Heng Yuan",
"Nanchang",
"Nanchang Bayi Stadium",
"20,000",
"11,680"
],
[
"Qingdao Jonoon",
"Qing Dao Zhong Neng",
"Qingdao",
"Qingdao Tiantai Stadium",
"20,525",
"6,247"
],
[
"Shaanxi Chan-Ba",
"Shan Xi Chan Ba",
"Xi'an",
"Shaanxi Province Stadium",
"47,565",
"28,053"
],
[
"Shandong Luneng",
"Shan Dong Lu Neng",
"Jinan",
"Shandong Provincial Stadium",
"43,700",
"15,901"
],
[
"Shanghai Shenhua",
"Shang Hai Shen Hua",
"Shanghai",
"Hongkou Stadium",
"33,060",
"12,963"
],
[
"Shenzhen Ruby",
"Shen Zhen Hong Zuan",
"Shenzhen",
"Shenzhen Stadium",
"32,500",
"12,439"
],
[
"Tianjin Teda",
"Tian Jin Tai Da",
"Tianjin",
"TEDA Football Stadium",
"36,390",
"14,757"
],
[
"Total",
"Total",
"Total",
"Total",
"Total",
"14,581"
]
] |
[
"Qingdao Tiantai Stadium"
] |
which stadium has that amount of attendance? || what the lowest average attendance? | which stadiums are there?
|
nt-12545
|
col : club | chinese | city | home stadium | capacity | average attendance row 1 : beijing guoanth | bei jing guo an | beijing | workers stadium | 62,000 | 33,342 row 2 : changchun yatai | chang chun ya tai | changchun | development area stadium | 25,000 | 10,067 row 3 : changsha ginde | chang sha jin de | changsha | helong stadium | 55,000 | 10,152 row 4 : chongqing lifan | zhong qing li fan | chongqing | chongqing olympic sports center | 58,680 | 11,433 row 5 : dalian shide | da lian shi de | dalian | jinzhou stadium | 30,775 | 12,307 row 6 : hangzhou greentown | hang zhou lu cheng | hangzhou | yellow dragon stadium | 51,139 | 14,550 row 7 : henan construction | he nan jian ye | zhengzhou | hanghai stadium | 29,000 | 18,630 row 8 : jiangsu sainty | jiang su shun tian | nanjing | nanjing olympic stadium | 61,443 | 10,667 row 9 : liaoning whowinp | liao zhu hong yun | shenyang | shenyang tiexi stadium | 24,000 | 10,100 row 10 : nanchang hengyuanp | nan chang heng yuan | nanchang | nanchang bayi stadium | 20,000 | 11,680 row 11 : qingdao jonoon | qing dao zhong neng | qingdao | qingdao tiantai stadium | 20,525 | 6,247 row 12 : shaanxi chan-ba | shan xi chan ba | xi'an | shaanxi province stadium | 47,565 | 28,053 row 13 : shandong luneng | shan dong lu neng | jinan | shandong provincial stadium | 43,700 | 15,901 row 14 : shanghai shenhua | shang hai shen hua | shanghai | hongkou stadium | 33,060 | 12,963 row 15 : shenzhen ruby | shen zhen hong zuan | shenzhen | shenzhen stadium | 32,500 | 12,439 row 16 : tianjin teda | tian jin tai da | tianjin | teda football stadium | 36,390 | 14,757 row 17 : total | total | total | total | total | 14,581
|
table_csv/203_581.csv
| 0 |
{
"column_index": [
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
]
}
|
[
"what stadiums are listed?"
] | 2 |
workers stadium, development area stadium, helong stadium, chongqing olympic sports center, jinzhou stadium, yellow dragon stadium, hanghai stadium, nanjing olympic stadium, shenyang tiexi stadium, nanchang bayi stadium, qingdao tiantai stadium, shaanxi province stadium, shandong provincial stadium, hongkou stadium, shenzhen stadium, teda football stadium
|
[
"Club",
"Chinese",
"City",
"Home stadium",
"Capacity",
"Average attendance"
] |
what stadiums are listed?
|
[
[
"Beijing GuoanTH",
"Bei Jing Guo An",
"Beijing",
"Workers Stadium",
"62,000",
"33,342"
],
[
"Changchun Yatai",
"Chang Chun Ya Tai",
"Changchun",
"Development Area Stadium",
"25,000",
"10,067"
],
[
"Changsha Ginde",
"Chang Sha Jin De",
"Changsha",
"Helong Stadium",
"55,000",
"10,152"
],
[
"Chongqing Lifan",
"Zhong Qing Li Fan",
"Chongqing",
"Chongqing Olympic Sports Center",
"58,680",
"11,433"
],
[
"Dalian Shide",
"Da Lian Shi De",
"Dalian",
"Jinzhou Stadium",
"30,775",
"12,307"
],
[
"Hangzhou Greentown",
"Hang Zhou Lu Cheng",
"Hangzhou",
"Yellow Dragon Stadium",
"51,139",
"14,550"
],
[
"Henan Construction",
"He Nan Jian Ye",
"Zhengzhou",
"Hanghai Stadium",
"29,000",
"18,630"
],
[
"Jiangsu Sainty",
"Jiang Su Shun Tian",
"Nanjing",
"Nanjing Olympic Stadium",
"61,443",
"10,667"
],
[
"Liaoning WhowinP",
"Liao Zhu Hong Yun",
"Shenyang",
"Shenyang Tiexi Stadium",
"24,000",
"10,100"
],
[
"Nanchang HengyuanP",
"Nan Chang Heng Yuan",
"Nanchang",
"Nanchang Bayi Stadium",
"20,000",
"11,680"
],
[
"Qingdao Jonoon",
"Qing Dao Zhong Neng",
"Qingdao",
"Qingdao Tiantai Stadium",
"20,525",
"6,247"
],
[
"Shaanxi Chan-Ba",
"Shan Xi Chan Ba",
"Xi'an",
"Shaanxi Province Stadium",
"47,565",
"28,053"
],
[
"Shandong Luneng",
"Shan Dong Lu Neng",
"Jinan",
"Shandong Provincial Stadium",
"43,700",
"15,901"
],
[
"Shanghai Shenhua",
"Shang Hai Shen Hua",
"Shanghai",
"Hongkou Stadium",
"33,060",
"12,963"
],
[
"Shenzhen Ruby",
"Shen Zhen Hong Zuan",
"Shenzhen",
"Shenzhen Stadium",
"32,500",
"12,439"
],
[
"Tianjin Teda",
"Tian Jin Tai Da",
"Tianjin",
"TEDA Football Stadium",
"36,390",
"14,757"
],
[
"Total",
"Total",
"Total",
"Total",
"Total",
"14,581"
]
] |
[
"Workers Stadium",
"Development Area Stadium",
"Helong Stadium",
"Chongqing Olympic Sports Center",
"Jinzhou Stadium",
"Yellow Dragon Stadium",
"Hanghai Stadium",
"Nanjing Olympic Stadium",
"Shenyang Tiexi Stadium",
"Nanchang Bayi Stadium",
"Qingdao Tiantai Stadium",
"Shaanxi Province Stadium",
"Shandong Provincial Stadium",
"Hongkou Stadium",
"Shenzhen Stadium",
"TEDA Football Stadium"
] |
what stadiums are listed? ||
|
nt-12545
|
col : club | chinese | city | home stadium | capacity | average attendance row 1 : beijing guoanth | bei jing guo an | beijing | workers stadium | 62,000 | 33,342 row 2 : changchun yatai | chang chun ya tai | changchun | development area stadium | 25,000 | 10,067 row 3 : changsha ginde | chang sha jin de | changsha | helong stadium | 55,000 | 10,152 row 4 : chongqing lifan | zhong qing li fan | chongqing | chongqing olympic sports center | 58,680 | 11,433 row 5 : dalian shide | da lian shi de | dalian | jinzhou stadium | 30,775 | 12,307 row 6 : hangzhou greentown | hang zhou lu cheng | hangzhou | yellow dragon stadium | 51,139 | 14,550 row 7 : henan construction | he nan jian ye | zhengzhou | hanghai stadium | 29,000 | 18,630 row 8 : jiangsu sainty | jiang su shun tian | nanjing | nanjing olympic stadium | 61,443 | 10,667 row 9 : liaoning whowinp | liao zhu hong yun | shenyang | shenyang tiexi stadium | 24,000 | 10,100 row 10 : nanchang hengyuanp | nan chang heng yuan | nanchang | nanchang bayi stadium | 20,000 | 11,680 row 11 : qingdao jonoon | qing dao zhong neng | qingdao | qingdao tiantai stadium | 20,525 | 6,247 row 12 : shaanxi chan-ba | shan xi chan ba | xi'an | shaanxi province stadium | 47,565 | 28,053 row 13 : shandong luneng | shan dong lu neng | jinan | shandong provincial stadium | 43,700 | 15,901 row 14 : shanghai shenhua | shang hai shen hua | shanghai | hongkou stadium | 33,060 | 12,963 row 15 : shenzhen ruby | shen zhen hong zuan | shenzhen | shenzhen stadium | 32,500 | 12,439 row 16 : tianjin teda | tian jin tai da | tianjin | teda football stadium | 36,390 | 14,757 row 17 : total | total | total | total | total | 14,581
|
table_csv/203_581.csv
| 1 |
{
"column_index": [
3
],
"row_index": [
10
]
}
|
[
"what stadiums are listed?",
"which stadium has the lowest average attendance?"
] | 2 |
qingdao tiantai stadium
|
[
"Club",
"Chinese",
"City",
"Home stadium",
"Capacity",
"Average attendance"
] |
which stadium has the lowest average attendance?
|
[
[
"Beijing GuoanTH",
"Bei Jing Guo An",
"Beijing",
"Workers Stadium",
"62,000",
"33,342"
],
[
"Changchun Yatai",
"Chang Chun Ya Tai",
"Changchun",
"Development Area Stadium",
"25,000",
"10,067"
],
[
"Changsha Ginde",
"Chang Sha Jin De",
"Changsha",
"Helong Stadium",
"55,000",
"10,152"
],
[
"Chongqing Lifan",
"Zhong Qing Li Fan",
"Chongqing",
"Chongqing Olympic Sports Center",
"58,680",
"11,433"
],
[
"Dalian Shide",
"Da Lian Shi De",
"Dalian",
"Jinzhou Stadium",
"30,775",
"12,307"
],
[
"Hangzhou Greentown",
"Hang Zhou Lu Cheng",
"Hangzhou",
"Yellow Dragon Stadium",
"51,139",
"14,550"
],
[
"Henan Construction",
"He Nan Jian Ye",
"Zhengzhou",
"Hanghai Stadium",
"29,000",
"18,630"
],
[
"Jiangsu Sainty",
"Jiang Su Shun Tian",
"Nanjing",
"Nanjing Olympic Stadium",
"61,443",
"10,667"
],
[
"Liaoning WhowinP",
"Liao Zhu Hong Yun",
"Shenyang",
"Shenyang Tiexi Stadium",
"24,000",
"10,100"
],
[
"Nanchang HengyuanP",
"Nan Chang Heng Yuan",
"Nanchang",
"Nanchang Bayi Stadium",
"20,000",
"11,680"
],
[
"Qingdao Jonoon",
"Qing Dao Zhong Neng",
"Qingdao",
"Qingdao Tiantai Stadium",
"20,525",
"6,247"
],
[
"Shaanxi Chan-Ba",
"Shan Xi Chan Ba",
"Xi'an",
"Shaanxi Province Stadium",
"47,565",
"28,053"
],
[
"Shandong Luneng",
"Shan Dong Lu Neng",
"Jinan",
"Shandong Provincial Stadium",
"43,700",
"15,901"
],
[
"Shanghai Shenhua",
"Shang Hai Shen Hua",
"Shanghai",
"Hongkou Stadium",
"33,060",
"12,963"
],
[
"Shenzhen Ruby",
"Shen Zhen Hong Zuan",
"Shenzhen",
"Shenzhen Stadium",
"32,500",
"12,439"
],
[
"Tianjin Teda",
"Tian Jin Tai Da",
"Tianjin",
"TEDA Football Stadium",
"36,390",
"14,757"
],
[
"Total",
"Total",
"Total",
"Total",
"Total",
"14,581"
]
] |
[
"Qingdao Tiantai Stadium"
] |
which stadium has the lowest average attendance? || what stadiums are listed?
|
nt-1727
|
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
|
table_csv/203_592.csv
| 0 |
{
"column_index": [
3
],
"row_index": [
2
]
}
|
[
"how many undergraduate enrollment does cornell university have?"
] | 0 |
13,931
|
[
"Institution",
"Location",
"Athletic nickname",
"Undergraduate enrollment",
"Graduate enrollment",
"Total enrollment",
"2013 Endowment (and US rank)",
"Academic staff",
"Motto"
] |
how many undergraduate enrollment does cornell university have?
|
[
[
"Brown University",
"Providence, Rhode Island",
"Bears",
"6,316",
"2,333",
"8,649",
"$2.7 billion (30th)",
"736",
"In Deo Speramus (In God We Hope)"
],
[
"Columbia University",
"New York, New York",
"Lions",
"7,160",
"15,760",
"22,920",
"$8.2 billion (9th)",
"3,763",
"In lumine Tuo videbimus lumen (In Th"
],
[
"Cornell University",
"Ithaca, New York",
"Big Red",
"13,931",
"6,702",
"20,633",
"$5.3 billion (18th)",
"2,908",
"I would found an institution where any person can find instruction in any study."
],
[
"Dartmouth College",
"Hanover, New Hampshire",
"Big Green",
"4,248",
"1,893",
"6,141",
"$3.7 billion (22nd)",
"571",
"Vox clamantis in deserto (The voice of one crying"
],
[
"Harvard University",
"Cambridge, Massachusetts",
"Crimson",
"7,181",
"14,044",
"21,225",
"$32.3 billion (1st)",
"4,671",
"Veritas (Truth)"
],
[
"Princeton University",
"Princeton, New Jersey",
"Tigers",
"5,113",
"2,479",
"7,592",
"$18.2 billion (5th)",
"1,172",
"Dei sub numine viget (Under God's power she"
],
[
"University of Pennsylvania",
"Philadelphia, Pennsylvania",
"Quakers",
"10,337",
"10,306",
"20,643",
"$7.7 billion (11th)",
"4,464",
"Leges sine moribus vanae (Laws without moral"
],
[
"Yale University",
"New Haven, Connecticut",
"Bulldogs",
"5,275",
"6,391",
"11,666",
"$20.8 billion (2nd)",
"4,140",
"vrym vtvmym Lux et ver"
]
] |
[
"13,931"
] |
how many undergraduate enrollment does cornell university have? ||
|
nt-1727
|
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
|
table_csv/203_592.csv
| 1 |
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|
[
"how many undergraduate enrollment does cornell university have?",
"which university has the next closest undergraduate enrollment?"
] | 0 |
university of pennsylvania
|
[
"Institution",
"Location",
"Athletic nickname",
"Undergraduate enrollment",
"Graduate enrollment",
"Total enrollment",
"2013 Endowment (and US rank)",
"Academic staff",
"Motto"
] |
which university has the next closest undergraduate enrollment?
|
[
[
"Brown University",
"Providence, Rhode Island",
"Bears",
"6,316",
"2,333",
"8,649",
"$2.7 billion (30th)",
"736",
"In Deo Speramus (In God We Hope)"
],
[
"Columbia University",
"New York, New York",
"Lions",
"7,160",
"15,760",
"22,920",
"$8.2 billion (9th)",
"3,763",
"In lumine Tuo videbimus lumen (In Th"
],
[
"Cornell University",
"Ithaca, New York",
"Big Red",
"13,931",
"6,702",
"20,633",
"$5.3 billion (18th)",
"2,908",
"I would found an institution where any person can find instruction in any study."
],
[
"Dartmouth College",
"Hanover, New Hampshire",
"Big Green",
"4,248",
"1,893",
"6,141",
"$3.7 billion (22nd)",
"571",
"Vox clamantis in deserto (The voice of one crying"
],
[
"Harvard University",
"Cambridge, Massachusetts",
"Crimson",
"7,181",
"14,044",
"21,225",
"$32.3 billion (1st)",
"4,671",
"Veritas (Truth)"
],
[
"Princeton University",
"Princeton, New Jersey",
"Tigers",
"5,113",
"2,479",
"7,592",
"$18.2 billion (5th)",
"1,172",
"Dei sub numine viget (Under God's power she"
],
[
"University of Pennsylvania",
"Philadelphia, Pennsylvania",
"Quakers",
"10,337",
"10,306",
"20,643",
"$7.7 billion (11th)",
"4,464",
"Leges sine moribus vanae (Laws without moral"
],
[
"Yale University",
"New Haven, Connecticut",
"Bulldogs",
"5,275",
"6,391",
"11,666",
"$20.8 billion (2nd)",
"4,140",
"vrym vtvmym Lux et ver"
]
] |
[
"University of Pennsylvania"
] |
which university has the next closest undergraduate enrollment? || how many undergraduate enrollment does cornell university have?
|
nt-1727
|
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
|
table_csv/203_592.csv
| 0 |
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|
[
"what ivy league universities athletic nickname is not an animal?"
] | 1 |
cornell university, dartmouth college, harvard university, university of pennsylvania
|
[
"Institution",
"Location",
"Athletic nickname",
"Undergraduate enrollment",
"Graduate enrollment",
"Total enrollment",
"2013 Endowment (and US rank)",
"Academic staff",
"Motto"
] |
what ivy league universities athletic nickname is not an animal?
|
[
[
"Brown University",
"Providence, Rhode Island",
"Bears",
"6,316",
"2,333",
"8,649",
"$2.7 billion (30th)",
"736",
"In Deo Speramus (In God We Hope)"
],
[
"Columbia University",
"New York, New York",
"Lions",
"7,160",
"15,760",
"22,920",
"$8.2 billion (9th)",
"3,763",
"In lumine Tuo videbimus lumen (In Th"
],
[
"Cornell University",
"Ithaca, New York",
"Big Red",
"13,931",
"6,702",
"20,633",
"$5.3 billion (18th)",
"2,908",
"I would found an institution where any person can find instruction in any study."
],
[
"Dartmouth College",
"Hanover, New Hampshire",
"Big Green",
"4,248",
"1,893",
"6,141",
"$3.7 billion (22nd)",
"571",
"Vox clamantis in deserto (The voice of one crying"
],
[
"Harvard University",
"Cambridge, Massachusetts",
"Crimson",
"7,181",
"14,044",
"21,225",
"$32.3 billion (1st)",
"4,671",
"Veritas (Truth)"
],
[
"Princeton University",
"Princeton, New Jersey",
"Tigers",
"5,113",
"2,479",
"7,592",
"$18.2 billion (5th)",
"1,172",
"Dei sub numine viget (Under God's power she"
],
[
"University of Pennsylvania",
"Philadelphia, Pennsylvania",
"Quakers",
"10,337",
"10,306",
"20,643",
"$7.7 billion (11th)",
"4,464",
"Leges sine moribus vanae (Laws without moral"
],
[
"Yale University",
"New Haven, Connecticut",
"Bulldogs",
"5,275",
"6,391",
"11,666",
"$20.8 billion (2nd)",
"4,140",
"vrym vtvmym Lux et ver"
]
] |
[
"Cornell University",
"Dartmouth College",
"Harvard University",
"University of Pennsylvania"
] |
what ivy league universities athletic nickname is not an animal? ||
|
nt-1727
|
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
|
table_csv/203_592.csv
| 1 |
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[
"what ivy league universities athletic nickname is not an animal?",
"what ivy league universities with non animal athletic nicknames have a academic staff of 2000 or more?"
] | 1 |
cornell university, harvard university, university of pennsylvania
|
[
"Institution",
"Location",
"Athletic nickname",
"Undergraduate enrollment",
"Graduate enrollment",
"Total enrollment",
"2013 Endowment (and US rank)",
"Academic staff",
"Motto"
] |
what ivy league universities with non animal athletic nicknames have a academic staff of 2000 or more?
|
[
[
"Brown University",
"Providence, Rhode Island",
"Bears",
"6,316",
"2,333",
"8,649",
"$2.7 billion (30th)",
"736",
"In Deo Speramus (In God We Hope)"
],
[
"Columbia University",
"New York, New York",
"Lions",
"7,160",
"15,760",
"22,920",
"$8.2 billion (9th)",
"3,763",
"In lumine Tuo videbimus lumen (In Th"
],
[
"Cornell University",
"Ithaca, New York",
"Big Red",
"13,931",
"6,702",
"20,633",
"$5.3 billion (18th)",
"2,908",
"I would found an institution where any person can find instruction in any study."
],
[
"Dartmouth College",
"Hanover, New Hampshire",
"Big Green",
"4,248",
"1,893",
"6,141",
"$3.7 billion (22nd)",
"571",
"Vox clamantis in deserto (The voice of one crying"
],
[
"Harvard University",
"Cambridge, Massachusetts",
"Crimson",
"7,181",
"14,044",
"21,225",
"$32.3 billion (1st)",
"4,671",
"Veritas (Truth)"
],
[
"Princeton University",
"Princeton, New Jersey",
"Tigers",
"5,113",
"2,479",
"7,592",
"$18.2 billion (5th)",
"1,172",
"Dei sub numine viget (Under God's power she"
],
[
"University of Pennsylvania",
"Philadelphia, Pennsylvania",
"Quakers",
"10,337",
"10,306",
"20,643",
"$7.7 billion (11th)",
"4,464",
"Leges sine moribus vanae (Laws without moral"
],
[
"Yale University",
"New Haven, Connecticut",
"Bulldogs",
"5,275",
"6,391",
"11,666",
"$20.8 billion (2nd)",
"4,140",
"vrym vtvmym Lux et ver"
]
] |
[
"Cornell University",
"Harvard University",
"University of Pennsylvania"
] |
what ivy league universities with non animal athletic nicknames have a academic staff of 2000 or more? || what ivy league universities athletic nickname is not an animal?
|
nt-1727
|
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
|
table_csv/203_592.csv
| 2 |
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0
],
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6
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}
|
[
"what ivy league universities athletic nickname is not an animal?",
"what ivy league universities with non animal athletic nicknames have a academic staff of 2000 or more?",
"what universities that have non animal athletic nicknames and a academic staff of 2000 or more has a motto that references law?"
] | 1 |
university of pennsylvania
|
[
"Institution",
"Location",
"Athletic nickname",
"Undergraduate enrollment",
"Graduate enrollment",
"Total enrollment",
"2013 Endowment (and US rank)",
"Academic staff",
"Motto"
] |
what universities that have non animal athletic nicknames and a academic staff of 2000 or more has a motto that references law?
|
[
[
"Brown University",
"Providence, Rhode Island",
"Bears",
"6,316",
"2,333",
"8,649",
"$2.7 billion (30th)",
"736",
"In Deo Speramus (In God We Hope)"
],
[
"Columbia University",
"New York, New York",
"Lions",
"7,160",
"15,760",
"22,920",
"$8.2 billion (9th)",
"3,763",
"In lumine Tuo videbimus lumen (In Th"
],
[
"Cornell University",
"Ithaca, New York",
"Big Red",
"13,931",
"6,702",
"20,633",
"$5.3 billion (18th)",
"2,908",
"I would found an institution where any person can find instruction in any study."
],
[
"Dartmouth College",
"Hanover, New Hampshire",
"Big Green",
"4,248",
"1,893",
"6,141",
"$3.7 billion (22nd)",
"571",
"Vox clamantis in deserto (The voice of one crying"
],
[
"Harvard University",
"Cambridge, Massachusetts",
"Crimson",
"7,181",
"14,044",
"21,225",
"$32.3 billion (1st)",
"4,671",
"Veritas (Truth)"
],
[
"Princeton University",
"Princeton, New Jersey",
"Tigers",
"5,113",
"2,479",
"7,592",
"$18.2 billion (5th)",
"1,172",
"Dei sub numine viget (Under God's power she"
],
[
"University of Pennsylvania",
"Philadelphia, Pennsylvania",
"Quakers",
"10,337",
"10,306",
"20,643",
"$7.7 billion (11th)",
"4,464",
"Leges sine moribus vanae (Laws without moral"
],
[
"Yale University",
"New Haven, Connecticut",
"Bulldogs",
"5,275",
"6,391",
"11,666",
"$20.8 billion (2nd)",
"4,140",
"vrym vtvmym Lux et ver"
]
] |
[
"University of Pennsylvania"
] |
what universities that have non animal athletic nicknames and a academic staff of 2000 or more has a motto that references law? || what ivy league universities with non animal athletic nicknames have a academic staff of 2000 or more? | what ivy league universities athletic nickname is not an animal?
|
nt-1727
|
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
|
table_csv/203_592.csv
| 0 |
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|
[
"what are the undergraduate enrollments of the schools?"
] | 2 |
6,316, 7,160, 13,931, 4,248, 7,181, 5,113, 10,337, 5,275
|
[
"Institution",
"Location",
"Athletic nickname",
"Undergraduate enrollment",
"Graduate enrollment",
"Total enrollment",
"2013 Endowment (and US rank)",
"Academic staff",
"Motto"
] |
what are the undergraduate enrollments of the schools?
|
[
[
"Brown University",
"Providence, Rhode Island",
"Bears",
"6,316",
"2,333",
"8,649",
"$2.7 billion (30th)",
"736",
"In Deo Speramus (In God We Hope)"
],
[
"Columbia University",
"New York, New York",
"Lions",
"7,160",
"15,760",
"22,920",
"$8.2 billion (9th)",
"3,763",
"In lumine Tuo videbimus lumen (In Th"
],
[
"Cornell University",
"Ithaca, New York",
"Big Red",
"13,931",
"6,702",
"20,633",
"$5.3 billion (18th)",
"2,908",
"I would found an institution where any person can find instruction in any study."
],
[
"Dartmouth College",
"Hanover, New Hampshire",
"Big Green",
"4,248",
"1,893",
"6,141",
"$3.7 billion (22nd)",
"571",
"Vox clamantis in deserto (The voice of one crying"
],
[
"Harvard University",
"Cambridge, Massachusetts",
"Crimson",
"7,181",
"14,044",
"21,225",
"$32.3 billion (1st)",
"4,671",
"Veritas (Truth)"
],
[
"Princeton University",
"Princeton, New Jersey",
"Tigers",
"5,113",
"2,479",
"7,592",
"$18.2 billion (5th)",
"1,172",
"Dei sub numine viget (Under God's power she"
],
[
"University of Pennsylvania",
"Philadelphia, Pennsylvania",
"Quakers",
"10,337",
"10,306",
"20,643",
"$7.7 billion (11th)",
"4,464",
"Leges sine moribus vanae (Laws without moral"
],
[
"Yale University",
"New Haven, Connecticut",
"Bulldogs",
"5,275",
"6,391",
"11,666",
"$20.8 billion (2nd)",
"4,140",
"vrym vtvmym Lux et ver"
]
] |
[
"6,316",
"7,160",
"13,931",
"4,248",
"7,181",
"5,113",
"10,337",
"5,275"
] |
what are the undergraduate enrollments of the schools? ||
|
nt-1727
|
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
|
table_csv/203_592.csv
| 1 |
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0
],
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[
"what are the undergraduate enrollments of the schools?",
"which school has the highest undergraduate enrollment?"
] | 2 |
cornell university
|
[
"Institution",
"Location",
"Athletic nickname",
"Undergraduate enrollment",
"Graduate enrollment",
"Total enrollment",
"2013 Endowment (and US rank)",
"Academic staff",
"Motto"
] |
which school has the highest undergraduate enrollment?
|
[
[
"Brown University",
"Providence, Rhode Island",
"Bears",
"6,316",
"2,333",
"8,649",
"$2.7 billion (30th)",
"736",
"In Deo Speramus (In God We Hope)"
],
[
"Columbia University",
"New York, New York",
"Lions",
"7,160",
"15,760",
"22,920",
"$8.2 billion (9th)",
"3,763",
"In lumine Tuo videbimus lumen (In Th"
],
[
"Cornell University",
"Ithaca, New York",
"Big Red",
"13,931",
"6,702",
"20,633",
"$5.3 billion (18th)",
"2,908",
"I would found an institution where any person can find instruction in any study."
],
[
"Dartmouth College",
"Hanover, New Hampshire",
"Big Green",
"4,248",
"1,893",
"6,141",
"$3.7 billion (22nd)",
"571",
"Vox clamantis in deserto (The voice of one crying"
],
[
"Harvard University",
"Cambridge, Massachusetts",
"Crimson",
"7,181",
"14,044",
"21,225",
"$32.3 billion (1st)",
"4,671",
"Veritas (Truth)"
],
[
"Princeton University",
"Princeton, New Jersey",
"Tigers",
"5,113",
"2,479",
"7,592",
"$18.2 billion (5th)",
"1,172",
"Dei sub numine viget (Under God's power she"
],
[
"University of Pennsylvania",
"Philadelphia, Pennsylvania",
"Quakers",
"10,337",
"10,306",
"20,643",
"$7.7 billion (11th)",
"4,464",
"Leges sine moribus vanae (Laws without moral"
],
[
"Yale University",
"New Haven, Connecticut",
"Bulldogs",
"5,275",
"6,391",
"11,666",
"$20.8 billion (2nd)",
"4,140",
"vrym vtvmym Lux et ver"
]
] |
[
"Cornell University"
] |
which school has the highest undergraduate enrollment? || what are the undergraduate enrollments of the schools?
|
nt-1727
|
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
|
table_csv/203_592.csv
| 2 |
{
"column_index": [
3
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6
]
}
|
[
"what are the undergraduate enrollments of the schools?",
"which school has the highest undergraduate enrollment?",
"what is the highest undergraduate enrollment after cornell's 13,931?"
] | 2 |
10,337
|
[
"Institution",
"Location",
"Athletic nickname",
"Undergraduate enrollment",
"Graduate enrollment",
"Total enrollment",
"2013 Endowment (and US rank)",
"Academic staff",
"Motto"
] |
what is the highest undergraduate enrollment after cornell's 13,931?
|
[
[
"Brown University",
"Providence, Rhode Island",
"Bears",
"6,316",
"2,333",
"8,649",
"$2.7 billion (30th)",
"736",
"In Deo Speramus (In God We Hope)"
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[
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"Lions",
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"15,760",
"22,920",
"$8.2 billion (9th)",
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"In lumine Tuo videbimus lumen (In Th"
],
[
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"Ithaca, New York",
"Big Red",
"13,931",
"6,702",
"20,633",
"$5.3 billion (18th)",
"2,908",
"I would found an institution where any person can find instruction in any study."
],
[
"Dartmouth College",
"Hanover, New Hampshire",
"Big Green",
"4,248",
"1,893",
"6,141",
"$3.7 billion (22nd)",
"571",
"Vox clamantis in deserto (The voice of one crying"
],
[
"Harvard University",
"Cambridge, Massachusetts",
"Crimson",
"7,181",
"14,044",
"21,225",
"$32.3 billion (1st)",
"4,671",
"Veritas (Truth)"
],
[
"Princeton University",
"Princeton, New Jersey",
"Tigers",
"5,113",
"2,479",
"7,592",
"$18.2 billion (5th)",
"1,172",
"Dei sub numine viget (Under God's power she"
],
[
"University of Pennsylvania",
"Philadelphia, Pennsylvania",
"Quakers",
"10,337",
"10,306",
"20,643",
"$7.7 billion (11th)",
"4,464",
"Leges sine moribus vanae (Laws without moral"
],
[
"Yale University",
"New Haven, Connecticut",
"Bulldogs",
"5,275",
"6,391",
"11,666",
"$20.8 billion (2nd)",
"4,140",
"vrym vtvmym Lux et ver"
]
] |
[
"10,337"
] |
what is the highest undergraduate enrollment after cornell's 13,931? || which school has the highest undergraduate enrollment? | what are the undergraduate enrollments of the schools?
|
nt-1727
|
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
|
table_csv/203_592.csv
| 3 |
{
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0
],
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}
|
[
"what are the undergraduate enrollments of the schools?",
"which school has the highest undergraduate enrollment?",
"what is the highest undergraduate enrollment after cornell's 13,931?",
"what school has 10,337 students enrolled in the undergradate program?"
] | 2 |
university of pennsylvania
|
[
"Institution",
"Location",
"Athletic nickname",
"Undergraduate enrollment",
"Graduate enrollment",
"Total enrollment",
"2013 Endowment (and US rank)",
"Academic staff",
"Motto"
] |
what school has 10,337 students enrolled in the undergradate program?
|
[
[
"Brown University",
"Providence, Rhode Island",
"Bears",
"6,316",
"2,333",
"8,649",
"$2.7 billion (30th)",
"736",
"In Deo Speramus (In God We Hope)"
],
[
"Columbia University",
"New York, New York",
"Lions",
"7,160",
"15,760",
"22,920",
"$8.2 billion (9th)",
"3,763",
"In lumine Tuo videbimus lumen (In Th"
],
[
"Cornell University",
"Ithaca, New York",
"Big Red",
"13,931",
"6,702",
"20,633",
"$5.3 billion (18th)",
"2,908",
"I would found an institution where any person can find instruction in any study."
],
[
"Dartmouth College",
"Hanover, New Hampshire",
"Big Green",
"4,248",
"1,893",
"6,141",
"$3.7 billion (22nd)",
"571",
"Vox clamantis in deserto (The voice of one crying"
],
[
"Harvard University",
"Cambridge, Massachusetts",
"Crimson",
"7,181",
"14,044",
"21,225",
"$32.3 billion (1st)",
"4,671",
"Veritas (Truth)"
],
[
"Princeton University",
"Princeton, New Jersey",
"Tigers",
"5,113",
"2,479",
"7,592",
"$18.2 billion (5th)",
"1,172",
"Dei sub numine viget (Under God's power she"
],
[
"University of Pennsylvania",
"Philadelphia, Pennsylvania",
"Quakers",
"10,337",
"10,306",
"20,643",
"$7.7 billion (11th)",
"4,464",
"Leges sine moribus vanae (Laws without moral"
],
[
"Yale University",
"New Haven, Connecticut",
"Bulldogs",
"5,275",
"6,391",
"11,666",
"$20.8 billion (2nd)",
"4,140",
"vrym vtvmym Lux et ver"
]
] |
[
"University of Pennsylvania"
] |
what school has 10,337 students enrolled in the undergradate program? || what is the highest undergraduate enrollment after cornell's 13,931? | which school has the highest undergraduate enrollment? | what are the undergraduate enrollments of the schools?
|
nt-12548
|
col : unnamed: 0 | 1948 | 1952 | 1956 | 1960 | 1964 row 1 : all voters | 50.0 | 45.0 | 42 | 50 | 61 row 2 : white | 50.0 | 43.0 | 41 | 49 | 59 row 3 : black | 50.0 | 79.0 | 61 | 68 | 94 row 4 : college educated | 22.0 | 34.0 | 31 | 39 | 52 row 5 : high school educated | 51.0 | 45.0 | 42 | 52 | 62 row 6 : grade school educated | 64.0 | 52.0 | 50 | 55 | 66 row 7 : professional & business | 19.0 | 36.0 | 32 | 42 | 54 row 8 : white collar | 47.0 | 40.0 | 37 | 48 | 57 row 9 : manual worker | 66.0 | 55.0 | 50 | 60 | 71 row 10 : farmer | 60.0 | 33.0 | 46 | 48 | 53 row 11 : union member | 76.0 | nan | 51 | 62 | 77 row 12 : not union | 42.0 | nan | 35 | 44 | 56 row 13 : protestant | 43.0 | 37.0 | 37 | 38 | 55 row 14 : catholic | 62.0 | 56.0 | 51 | 78 | 76 row 15 : republican | nan | 8.0 | 4 | 5 | 20 row 16 : independent | nan | 35.0 | 30 | 43 | 56 row 17 : democrat | nan | 77.0 | 85 | 84 | 87 row 18 : east | 48.0 | 45.0 | 40 | 53 | 68 row 19 : midwest | 50.0 | 42.0 | 41 | 48 | 61 row 20 : west | 49.0 | 42.0 | 43 | 49 | 60 row 21 : south | 53.0 | 51.0 | 49 | 51 | 52
|
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|
[
"what are all the voting demographics?"
] | 0 |
all voters, white, black, college educated, high school educated, grade school educated, professional & business, white collar, manual worker, farmer, union member, not union, protestant, catholic, republican, independent, democrat, east, midwest, west, south
|
[
"Unnamed: 0",
"1948",
"1952",
"1956",
"1960",
"1964"
] |
what are all the voting demographics?
|
[
[
"all voters",
"50.0",
"45.0",
"42",
"50",
"61"
],
[
"White",
"50.0",
"43.0",
"41",
"49",
"59"
],
[
"Black",
"50.0",
"79.0",
"61",
"68",
"94"
],
[
"College educated",
"22.0",
"34.0",
"31",
"39",
"52"
],
[
"High School educated",
"51.0",
"45.0",
"42",
"52",
"62"
],
[
"Grade School educated",
"64.0",
"52.0",
"50",
"55",
"66"
],
[
"Professional & Business",
"19.0",
"36.0",
"32",
"42",
"54"
],
[
"White Collar",
"47.0",
"40.0",
"37",
"48",
"57"
],
[
"Manual worker",
"66.0",
"55.0",
"50",
"60",
"71"
],
[
"Farmer",
"60.0",
"33.0",
"46",
"48",
"53"
],
[
"Union member",
"76.0",
"nan",
"51",
"62",
"77"
],
[
"Not union",
"42.0",
"nan",
"35",
"44",
"56"
],
[
"Protestant",
"43.0",
"37.0",
"37",
"38",
"55"
],
[
"Catholic",
"62.0",
"56.0",
"51",
"78",
"76"
],
[
"Republican",
"nan",
"8.0",
"4",
"5",
"20"
],
[
"Independent",
"nan",
"35.0",
"30",
"43",
"56"
],
[
"Democrat",
"nan",
"77.0",
"85",
"84",
"87"
],
[
"East",
"48.0",
"45.0",
"40",
"53",
"68"
],
[
"Midwest",
"50.0",
"42.0",
"41",
"48",
"61"
],
[
"West",
"49.0",
"42.0",
"43",
"49",
"60"
],
[
"South",
"53.0",
"51.0",
"49",
"51",
"52"
]
] |
[
"all voters",
"White",
"Black",
"College educated",
"High School educated",
"Grade School educated",
"Professional & Business",
"White Collar",
"Manual worker",
"Farmer",
"Union member",
"Not union",
"Protestant",
"Catholic",
"Republican",
"Independent",
"Democrat",
"East",
"Midwest",
"West",
"South"
] |
what are all the voting demographics? ||
|
nt-12548
|
col : unnamed: 0 | 1948 | 1952 | 1956 | 1960 | 1964 row 1 : all voters | 50.0 | 45.0 | 42 | 50 | 61 row 2 : white | 50.0 | 43.0 | 41 | 49 | 59 row 3 : black | 50.0 | 79.0 | 61 | 68 | 94 row 4 : college educated | 22.0 | 34.0 | 31 | 39 | 52 row 5 : high school educated | 51.0 | 45.0 | 42 | 52 | 62 row 6 : grade school educated | 64.0 | 52.0 | 50 | 55 | 66 row 7 : professional & business | 19.0 | 36.0 | 32 | 42 | 54 row 8 : white collar | 47.0 | 40.0 | 37 | 48 | 57 row 9 : manual worker | 66.0 | 55.0 | 50 | 60 | 71 row 10 : farmer | 60.0 | 33.0 | 46 | 48 | 53 row 11 : union member | 76.0 | nan | 51 | 62 | 77 row 12 : not union | 42.0 | nan | 35 | 44 | 56 row 13 : protestant | 43.0 | 37.0 | 37 | 38 | 55 row 14 : catholic | 62.0 | 56.0 | 51 | 78 | 76 row 15 : republican | nan | 8.0 | 4 | 5 | 20 row 16 : independent | nan | 35.0 | 30 | 43 | 56 row 17 : democrat | nan | 77.0 | 85 | 84 | 87 row 18 : east | 48.0 | 45.0 | 40 | 53 | 68 row 19 : midwest | 50.0 | 42.0 | 41 | 48 | 61 row 20 : west | 49.0 | 42.0 | 43 | 49 | 60 row 21 : south | 53.0 | 51.0 | 49 | 51 | 52
|
table_csv/204_581.csv
| 1 |
{
"column_index": [
0
],
"row_index": [
14
]
}
|
[
"what are all the voting demographics?",
"of these groups, which voted the least in 1956?"
] | 0 |
republican
|
[
"Unnamed: 0",
"1948",
"1952",
"1956",
"1960",
"1964"
] |
of these groups, which voted the least in 1956?
|
[
[
"all voters",
"50.0",
"45.0",
"42",
"50",
"61"
],
[
"White",
"50.0",
"43.0",
"41",
"49",
"59"
],
[
"Black",
"50.0",
"79.0",
"61",
"68",
"94"
],
[
"College educated",
"22.0",
"34.0",
"31",
"39",
"52"
],
[
"High School educated",
"51.0",
"45.0",
"42",
"52",
"62"
],
[
"Grade School educated",
"64.0",
"52.0",
"50",
"55",
"66"
],
[
"Professional & Business",
"19.0",
"36.0",
"32",
"42",
"54"
],
[
"White Collar",
"47.0",
"40.0",
"37",
"48",
"57"
],
[
"Manual worker",
"66.0",
"55.0",
"50",
"60",
"71"
],
[
"Farmer",
"60.0",
"33.0",
"46",
"48",
"53"
],
[
"Union member",
"76.0",
"nan",
"51",
"62",
"77"
],
[
"Not union",
"42.0",
"nan",
"35",
"44",
"56"
],
[
"Protestant",
"43.0",
"37.0",
"37",
"38",
"55"
],
[
"Catholic",
"62.0",
"56.0",
"51",
"78",
"76"
],
[
"Republican",
"nan",
"8.0",
"4",
"5",
"20"
],
[
"Independent",
"nan",
"35.0",
"30",
"43",
"56"
],
[
"Democrat",
"nan",
"77.0",
"85",
"84",
"87"
],
[
"East",
"48.0",
"45.0",
"40",
"53",
"68"
],
[
"Midwest",
"50.0",
"42.0",
"41",
"48",
"61"
],
[
"West",
"49.0",
"42.0",
"43",
"49",
"60"
],
[
"South",
"53.0",
"51.0",
"49",
"51",
"52"
]
] |
[
"Republican"
] |
of these groups, which voted the least in 1956? || what are all the voting demographics?
|
nt-12548
|
col : unnamed: 0 | 1948 | 1952 | 1956 | 1960 | 1964 row 1 : all voters | 50.0 | 45.0 | 42 | 50 | 61 row 2 : white | 50.0 | 43.0 | 41 | 49 | 59 row 3 : black | 50.0 | 79.0 | 61 | 68 | 94 row 4 : college educated | 22.0 | 34.0 | 31 | 39 | 52 row 5 : high school educated | 51.0 | 45.0 | 42 | 52 | 62 row 6 : grade school educated | 64.0 | 52.0 | 50 | 55 | 66 row 7 : professional & business | 19.0 | 36.0 | 32 | 42 | 54 row 8 : white collar | 47.0 | 40.0 | 37 | 48 | 57 row 9 : manual worker | 66.0 | 55.0 | 50 | 60 | 71 row 10 : farmer | 60.0 | 33.0 | 46 | 48 | 53 row 11 : union member | 76.0 | nan | 51 | 62 | 77 row 12 : not union | 42.0 | nan | 35 | 44 | 56 row 13 : protestant | 43.0 | 37.0 | 37 | 38 | 55 row 14 : catholic | 62.0 | 56.0 | 51 | 78 | 76 row 15 : republican | nan | 8.0 | 4 | 5 | 20 row 16 : independent | nan | 35.0 | 30 | 43 | 56 row 17 : democrat | nan | 77.0 | 85 | 84 | 87 row 18 : east | 48.0 | 45.0 | 40 | 53 | 68 row 19 : midwest | 50.0 | 42.0 | 41 | 48 | 61 row 20 : west | 49.0 | 42.0 | 43 | 49 | 60 row 21 : south | 53.0 | 51.0 | 49 | 51 | 52
|
table_csv/204_581.csv
| 2 |
{
"column_index": [
0
],
"row_index": [
16
]
}
|
[
"what are all the voting demographics?",
"of these groups, which voted the least in 1956?",
"who voted the most that year?"
] | 0 |
democrat
|
[
"Unnamed: 0",
"1948",
"1952",
"1956",
"1960",
"1964"
] |
who voted the most that year?
|
[
[
"all voters",
"50.0",
"45.0",
"42",
"50",
"61"
],
[
"White",
"50.0",
"43.0",
"41",
"49",
"59"
],
[
"Black",
"50.0",
"79.0",
"61",
"68",
"94"
],
[
"College educated",
"22.0",
"34.0",
"31",
"39",
"52"
],
[
"High School educated",
"51.0",
"45.0",
"42",
"52",
"62"
],
[
"Grade School educated",
"64.0",
"52.0",
"50",
"55",
"66"
],
[
"Professional & Business",
"19.0",
"36.0",
"32",
"42",
"54"
],
[
"White Collar",
"47.0",
"40.0",
"37",
"48",
"57"
],
[
"Manual worker",
"66.0",
"55.0",
"50",
"60",
"71"
],
[
"Farmer",
"60.0",
"33.0",
"46",
"48",
"53"
],
[
"Union member",
"76.0",
"nan",
"51",
"62",
"77"
],
[
"Not union",
"42.0",
"nan",
"35",
"44",
"56"
],
[
"Protestant",
"43.0",
"37.0",
"37",
"38",
"55"
],
[
"Catholic",
"62.0",
"56.0",
"51",
"78",
"76"
],
[
"Republican",
"nan",
"8.0",
"4",
"5",
"20"
],
[
"Independent",
"nan",
"35.0",
"30",
"43",
"56"
],
[
"Democrat",
"nan",
"77.0",
"85",
"84",
"87"
],
[
"East",
"48.0",
"45.0",
"40",
"53",
"68"
],
[
"Midwest",
"50.0",
"42.0",
"41",
"48",
"61"
],
[
"West",
"49.0",
"42.0",
"43",
"49",
"60"
],
[
"South",
"53.0",
"51.0",
"49",
"51",
"52"
]
] |
[
"Democrat"
] |
who voted the most that year? || of these groups, which voted the least in 1956? | what are all the voting demographics?
|
nt-12548
|
col : unnamed: 0 | 1948 | 1952 | 1956 | 1960 | 1964 row 1 : all voters | 50.0 | 45.0 | 42 | 50 | 61 row 2 : white | 50.0 | 43.0 | 41 | 49 | 59 row 3 : black | 50.0 | 79.0 | 61 | 68 | 94 row 4 : college educated | 22.0 | 34.0 | 31 | 39 | 52 row 5 : high school educated | 51.0 | 45.0 | 42 | 52 | 62 row 6 : grade school educated | 64.0 | 52.0 | 50 | 55 | 66 row 7 : professional & business | 19.0 | 36.0 | 32 | 42 | 54 row 8 : white collar | 47.0 | 40.0 | 37 | 48 | 57 row 9 : manual worker | 66.0 | 55.0 | 50 | 60 | 71 row 10 : farmer | 60.0 | 33.0 | 46 | 48 | 53 row 11 : union member | 76.0 | nan | 51 | 62 | 77 row 12 : not union | 42.0 | nan | 35 | 44 | 56 row 13 : protestant | 43.0 | 37.0 | 37 | 38 | 55 row 14 : catholic | 62.0 | 56.0 | 51 | 78 | 76 row 15 : republican | nan | 8.0 | 4 | 5 | 20 row 16 : independent | nan | 35.0 | 30 | 43 | 56 row 17 : democrat | nan | 77.0 | 85 | 84 | 87 row 18 : east | 48.0 | 45.0 | 40 | 53 | 68 row 19 : midwest | 50.0 | 42.0 | 41 | 48 | 61 row 20 : west | 49.0 | 42.0 | 43 | 49 | 60 row 21 : south | 53.0 | 51.0 | 49 | 51 | 52
|
table_csv/204_581.csv
| 0 |
{
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|
[
"in 1956 what was the total turnout for voting?"
] | 1 |
42
|
[
"Unnamed: 0",
"1948",
"1952",
"1956",
"1960",
"1964"
] |
in 1956 what was the total turnout for voting?
|
[
[
"all voters",
"50.0",
"45.0",
"42",
"50",
"61"
],
[
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[
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"62",
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[
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"56.0",
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[
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[
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[
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],
[
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],
[
"South",
"53.0",
"51.0",
"49",
"51",
"52"
]
] |
[
"42"
] |
in 1956 what was the total turnout for voting? ||
|
nt-12548
|
col : unnamed: 0 | 1948 | 1952 | 1956 | 1960 | 1964 row 1 : all voters | 50.0 | 45.0 | 42 | 50 | 61 row 2 : white | 50.0 | 43.0 | 41 | 49 | 59 row 3 : black | 50.0 | 79.0 | 61 | 68 | 94 row 4 : college educated | 22.0 | 34.0 | 31 | 39 | 52 row 5 : high school educated | 51.0 | 45.0 | 42 | 52 | 62 row 6 : grade school educated | 64.0 | 52.0 | 50 | 55 | 66 row 7 : professional & business | 19.0 | 36.0 | 32 | 42 | 54 row 8 : white collar | 47.0 | 40.0 | 37 | 48 | 57 row 9 : manual worker | 66.0 | 55.0 | 50 | 60 | 71 row 10 : farmer | 60.0 | 33.0 | 46 | 48 | 53 row 11 : union member | 76.0 | nan | 51 | 62 | 77 row 12 : not union | 42.0 | nan | 35 | 44 | 56 row 13 : protestant | 43.0 | 37.0 | 37 | 38 | 55 row 14 : catholic | 62.0 | 56.0 | 51 | 78 | 76 row 15 : republican | nan | 8.0 | 4 | 5 | 20 row 16 : independent | nan | 35.0 | 30 | 43 | 56 row 17 : democrat | nan | 77.0 | 85 | 84 | 87 row 18 : east | 48.0 | 45.0 | 40 | 53 | 68 row 19 : midwest | 50.0 | 42.0 | 41 | 48 | 61 row 20 : west | 49.0 | 42.0 | 43 | 49 | 60 row 21 : south | 53.0 | 51.0 | 49 | 51 | 52
|
table_csv/204_581.csv
| 1 |
{
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0
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|
[
"in 1956 what was the total turnout for voting?",
"which group of people had the largest voting numbers?"
] | 1 |
democrat
|
[
"Unnamed: 0",
"1948",
"1952",
"1956",
"1960",
"1964"
] |
which group of people had the largest voting numbers?
|
[
[
"all voters",
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"45.0",
"42",
"50",
"61"
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[
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[
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"68",
"94"
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[
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[
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[
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"52.0",
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"55",
"66"
],
[
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"32",
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"54"
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"55.0",
"50",
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[
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"48",
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[
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"51",
"62",
"77"
],
[
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"42.0",
"nan",
"35",
"44",
"56"
],
[
"Protestant",
"43.0",
"37.0",
"37",
"38",
"55"
],
[
"Catholic",
"62.0",
"56.0",
"51",
"78",
"76"
],
[
"Republican",
"nan",
"8.0",
"4",
"5",
"20"
],
[
"Independent",
"nan",
"35.0",
"30",
"43",
"56"
],
[
"Democrat",
"nan",
"77.0",
"85",
"84",
"87"
],
[
"East",
"48.0",
"45.0",
"40",
"53",
"68"
],
[
"Midwest",
"50.0",
"42.0",
"41",
"48",
"61"
],
[
"West",
"49.0",
"42.0",
"43",
"49",
"60"
],
[
"South",
"53.0",
"51.0",
"49",
"51",
"52"
]
] |
[
"Democrat"
] |
which group of people had the largest voting numbers? || in 1956 what was the total turnout for voting?
|
nt-12548
|
col : unnamed: 0 | 1948 | 1952 | 1956 | 1960 | 1964 row 1 : all voters | 50.0 | 45.0 | 42 | 50 | 61 row 2 : white | 50.0 | 43.0 | 41 | 49 | 59 row 3 : black | 50.0 | 79.0 | 61 | 68 | 94 row 4 : college educated | 22.0 | 34.0 | 31 | 39 | 52 row 5 : high school educated | 51.0 | 45.0 | 42 | 52 | 62 row 6 : grade school educated | 64.0 | 52.0 | 50 | 55 | 66 row 7 : professional & business | 19.0 | 36.0 | 32 | 42 | 54 row 8 : white collar | 47.0 | 40.0 | 37 | 48 | 57 row 9 : manual worker | 66.0 | 55.0 | 50 | 60 | 71 row 10 : farmer | 60.0 | 33.0 | 46 | 48 | 53 row 11 : union member | 76.0 | nan | 51 | 62 | 77 row 12 : not union | 42.0 | nan | 35 | 44 | 56 row 13 : protestant | 43.0 | 37.0 | 37 | 38 | 55 row 14 : catholic | 62.0 | 56.0 | 51 | 78 | 76 row 15 : republican | nan | 8.0 | 4 | 5 | 20 row 16 : independent | nan | 35.0 | 30 | 43 | 56 row 17 : democrat | nan | 77.0 | 85 | 84 | 87 row 18 : east | 48.0 | 45.0 | 40 | 53 | 68 row 19 : midwest | 50.0 | 42.0 | 41 | 48 | 61 row 20 : west | 49.0 | 42.0 | 43 | 49 | 60 row 21 : south | 53.0 | 51.0 | 49 | 51 | 52
|
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|
[
"what are all the groups that have ever voted?"
] | 2 |
all voters, white, black, college educated, high school educated, grade school educated, professional & business, white collar, manual worker, farmer, union member, not union, protestant, catholic, republican, independent, democrat, east, midwest, west, south
|
[
"Unnamed: 0",
"1948",
"1952",
"1956",
"1960",
"1964"
] |
what are all the groups that have ever voted?
|
[
[
"all voters",
"50.0",
"45.0",
"42",
"50",
"61"
],
[
"White",
"50.0",
"43.0",
"41",
"49",
"59"
],
[
"Black",
"50.0",
"79.0",
"61",
"68",
"94"
],
[
"College educated",
"22.0",
"34.0",
"31",
"39",
"52"
],
[
"High School educated",
"51.0",
"45.0",
"42",
"52",
"62"
],
[
"Grade School educated",
"64.0",
"52.0",
"50",
"55",
"66"
],
[
"Professional & Business",
"19.0",
"36.0",
"32",
"42",
"54"
],
[
"White Collar",
"47.0",
"40.0",
"37",
"48",
"57"
],
[
"Manual worker",
"66.0",
"55.0",
"50",
"60",
"71"
],
[
"Farmer",
"60.0",
"33.0",
"46",
"48",
"53"
],
[
"Union member",
"76.0",
"nan",
"51",
"62",
"77"
],
[
"Not union",
"42.0",
"nan",
"35",
"44",
"56"
],
[
"Protestant",
"43.0",
"37.0",
"37",
"38",
"55"
],
[
"Catholic",
"62.0",
"56.0",
"51",
"78",
"76"
],
[
"Republican",
"nan",
"8.0",
"4",
"5",
"20"
],
[
"Independent",
"nan",
"35.0",
"30",
"43",
"56"
],
[
"Democrat",
"nan",
"77.0",
"85",
"84",
"87"
],
[
"East",
"48.0",
"45.0",
"40",
"53",
"68"
],
[
"Midwest",
"50.0",
"42.0",
"41",
"48",
"61"
],
[
"West",
"49.0",
"42.0",
"43",
"49",
"60"
],
[
"South",
"53.0",
"51.0",
"49",
"51",
"52"
]
] |
[
"all voters",
"White",
"Black",
"College educated",
"High School educated",
"Grade School educated",
"Professional & Business",
"White Collar",
"Manual worker",
"Farmer",
"Union member",
"Not union",
"Protestant",
"Catholic",
"Republican",
"Independent",
"Democrat",
"East",
"Midwest",
"West",
"South"
] |
what are all the groups that have ever voted? ||
|
nt-12548
|
col : unnamed: 0 | 1948 | 1952 | 1956 | 1960 | 1964 row 1 : all voters | 50.0 | 45.0 | 42 | 50 | 61 row 2 : white | 50.0 | 43.0 | 41 | 49 | 59 row 3 : black | 50.0 | 79.0 | 61 | 68 | 94 row 4 : college educated | 22.0 | 34.0 | 31 | 39 | 52 row 5 : high school educated | 51.0 | 45.0 | 42 | 52 | 62 row 6 : grade school educated | 64.0 | 52.0 | 50 | 55 | 66 row 7 : professional & business | 19.0 | 36.0 | 32 | 42 | 54 row 8 : white collar | 47.0 | 40.0 | 37 | 48 | 57 row 9 : manual worker | 66.0 | 55.0 | 50 | 60 | 71 row 10 : farmer | 60.0 | 33.0 | 46 | 48 | 53 row 11 : union member | 76.0 | nan | 51 | 62 | 77 row 12 : not union | 42.0 | nan | 35 | 44 | 56 row 13 : protestant | 43.0 | 37.0 | 37 | 38 | 55 row 14 : catholic | 62.0 | 56.0 | 51 | 78 | 76 row 15 : republican | nan | 8.0 | 4 | 5 | 20 row 16 : independent | nan | 35.0 | 30 | 43 | 56 row 17 : democrat | nan | 77.0 | 85 | 84 | 87 row 18 : east | 48.0 | 45.0 | 40 | 53 | 68 row 19 : midwest | 50.0 | 42.0 | 41 | 48 | 61 row 20 : west | 49.0 | 42.0 | 43 | 49 | 60 row 21 : south | 53.0 | 51.0 | 49 | 51 | 52
|
table_csv/204_581.csv
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|
[
"what are all the groups that have ever voted?",
"which ones voted in 1956?"
] | 2 |
all voters, white, black, college educated, high school educated, grade school educated, professional & business, white collar, manual worker, farmer, union member, not union, protestant, catholic, republican, independent, democrat, east, midwest, west, south
|
[
"Unnamed: 0",
"1948",
"1952",
"1956",
"1960",
"1964"
] |
which ones voted in 1956?
|
[
[
"all voters",
"50.0",
"45.0",
"42",
"50",
"61"
],
[
"White",
"50.0",
"43.0",
"41",
"49",
"59"
],
[
"Black",
"50.0",
"79.0",
"61",
"68",
"94"
],
[
"College educated",
"22.0",
"34.0",
"31",
"39",
"52"
],
[
"High School educated",
"51.0",
"45.0",
"42",
"52",
"62"
],
[
"Grade School educated",
"64.0",
"52.0",
"50",
"55",
"66"
],
[
"Professional & Business",
"19.0",
"36.0",
"32",
"42",
"54"
],
[
"White Collar",
"47.0",
"40.0",
"37",
"48",
"57"
],
[
"Manual worker",
"66.0",
"55.0",
"50",
"60",
"71"
],
[
"Farmer",
"60.0",
"33.0",
"46",
"48",
"53"
],
[
"Union member",
"76.0",
"nan",
"51",
"62",
"77"
],
[
"Not union",
"42.0",
"nan",
"35",
"44",
"56"
],
[
"Protestant",
"43.0",
"37.0",
"37",
"38",
"55"
],
[
"Catholic",
"62.0",
"56.0",
"51",
"78",
"76"
],
[
"Republican",
"nan",
"8.0",
"4",
"5",
"20"
],
[
"Independent",
"nan",
"35.0",
"30",
"43",
"56"
],
[
"Democrat",
"nan",
"77.0",
"85",
"84",
"87"
],
[
"East",
"48.0",
"45.0",
"40",
"53",
"68"
],
[
"Midwest",
"50.0",
"42.0",
"41",
"48",
"61"
],
[
"West",
"49.0",
"42.0",
"43",
"49",
"60"
],
[
"South",
"53.0",
"51.0",
"49",
"51",
"52"
]
] |
[
"all voters",
"White",
"Black",
"College educated",
"High School educated",
"Grade School educated",
"Professional & Business",
"White Collar",
"Manual worker",
"Farmer",
"Union member",
"Not union",
"Protestant",
"Catholic",
"Republican",
"Independent",
"Democrat",
"East",
"Midwest",
"West",
"South"
] |
which ones voted in 1956? || what are all the groups that have ever voted?
|
nt-12548
|
col : unnamed: 0 | 1948 | 1952 | 1956 | 1960 | 1964 row 1 : all voters | 50.0 | 45.0 | 42 | 50 | 61 row 2 : white | 50.0 | 43.0 | 41 | 49 | 59 row 3 : black | 50.0 | 79.0 | 61 | 68 | 94 row 4 : college educated | 22.0 | 34.0 | 31 | 39 | 52 row 5 : high school educated | 51.0 | 45.0 | 42 | 52 | 62 row 6 : grade school educated | 64.0 | 52.0 | 50 | 55 | 66 row 7 : professional & business | 19.0 | 36.0 | 32 | 42 | 54 row 8 : white collar | 47.0 | 40.0 | 37 | 48 | 57 row 9 : manual worker | 66.0 | 55.0 | 50 | 60 | 71 row 10 : farmer | 60.0 | 33.0 | 46 | 48 | 53 row 11 : union member | 76.0 | nan | 51 | 62 | 77 row 12 : not union | 42.0 | nan | 35 | 44 | 56 row 13 : protestant | 43.0 | 37.0 | 37 | 38 | 55 row 14 : catholic | 62.0 | 56.0 | 51 | 78 | 76 row 15 : republican | nan | 8.0 | 4 | 5 | 20 row 16 : independent | nan | 35.0 | 30 | 43 | 56 row 17 : democrat | nan | 77.0 | 85 | 84 | 87 row 18 : east | 48.0 | 45.0 | 40 | 53 | 68 row 19 : midwest | 50.0 | 42.0 | 41 | 48 | 61 row 20 : west | 49.0 | 42.0 | 43 | 49 | 60 row 21 : south | 53.0 | 51.0 | 49 | 51 | 52
|
table_csv/204_581.csv
| 2 |
{
"column_index": [
0
],
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16
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|
[
"what are all the groups that have ever voted?",
"which ones voted in 1956?",
"which one had the largest voting percentage?"
] | 2 |
democrat
|
[
"Unnamed: 0",
"1948",
"1952",
"1956",
"1960",
"1964"
] |
which one had the largest voting percentage?
|
[
[
"all voters",
"50.0",
"45.0",
"42",
"50",
"61"
],
[
"White",
"50.0",
"43.0",
"41",
"49",
"59"
],
[
"Black",
"50.0",
"79.0",
"61",
"68",
"94"
],
[
"College educated",
"22.0",
"34.0",
"31",
"39",
"52"
],
[
"High School educated",
"51.0",
"45.0",
"42",
"52",
"62"
],
[
"Grade School educated",
"64.0",
"52.0",
"50",
"55",
"66"
],
[
"Professional & Business",
"19.0",
"36.0",
"32",
"42",
"54"
],
[
"White Collar",
"47.0",
"40.0",
"37",
"48",
"57"
],
[
"Manual worker",
"66.0",
"55.0",
"50",
"60",
"71"
],
[
"Farmer",
"60.0",
"33.0",
"46",
"48",
"53"
],
[
"Union member",
"76.0",
"nan",
"51",
"62",
"77"
],
[
"Not union",
"42.0",
"nan",
"35",
"44",
"56"
],
[
"Protestant",
"43.0",
"37.0",
"37",
"38",
"55"
],
[
"Catholic",
"62.0",
"56.0",
"51",
"78",
"76"
],
[
"Republican",
"nan",
"8.0",
"4",
"5",
"20"
],
[
"Independent",
"nan",
"35.0",
"30",
"43",
"56"
],
[
"Democrat",
"nan",
"77.0",
"85",
"84",
"87"
],
[
"East",
"48.0",
"45.0",
"40",
"53",
"68"
],
[
"Midwest",
"50.0",
"42.0",
"41",
"48",
"61"
],
[
"West",
"49.0",
"42.0",
"43",
"49",
"60"
],
[
"South",
"53.0",
"51.0",
"49",
"51",
"52"
]
] |
[
"Democrat"
] |
which one had the largest voting percentage? || which ones voted in 1956? | what are all the groups that have ever voted?
|
nt-13017
|
col : code | county | former province | area (km2) | population census 2009 | capital row 1 : 1.0 | mombasa | coast | 212.5 | 939,370 | mombasa (city) row 2 : 2.0 | kwale | coast | 8,270.3 | 649,931 | kwale row 3 : 3.0 | kilifi | coast | 12,245.9 | 1,109,735 | kilifi row 4 : 4.0 | tana river | coast | 35,375.8 | 240,075 | hola row 5 : 5.0 | lamu | coast | 6,497.7 | 101,539 | lamu row 6 : 6.0 | taita-taveta | coast | 17,083.9 | 284,657 | voi row 7 : nan | totals | nan | 79,686.1 | 3,325,307 | -
|
table_csv/204_778.csv
| 0 |
{
"column_index": [
4,
4,
4,
4,
4,
4
],
"row_index": [
0,
1,
2,
3,
4,
5
]
}
|
[
"what are the populations?"
] | 0 |
939,370, 649,931, 1,109,735, 240,075, 101,539, 284,657
|
[
"Code",
"County",
"Former Province",
"Area (km2)",
"Population Census 2009",
"Capital"
] |
what are the populations?
|
[
[
"1.0",
"Mombasa",
"Coast",
"212.5",
"939,370",
"Mombasa (City)"
],
[
"2.0",
"Kwale",
"Coast",
"8,270.3",
"649,931",
"Kwale"
],
[
"3.0",
"Kilifi",
"Coast",
"12,245.9",
"1,109,735",
"Kilifi"
],
[
"4.0",
"Tana River",
"Coast",
"35,375.8",
"240,075",
"Hola"
],
[
"5.0",
"Lamu",
"Coast",
"6,497.7",
"101,539",
"Lamu"
],
[
"6.0",
"Taita-Taveta",
"Coast",
"17,083.9",
"284,657",
"Voi"
],
[
"nan",
"Totals",
"nan",
"79,686.1",
"3,325,307",
"-"
]
] |
[
"939,370",
"649,931",
"1,109,735",
"240,075",
"101,539",
"284,657"
] |
what are the populations? ||
|
nt-13017
|
col : code | county | former province | area (km2) | population census 2009 | capital row 1 : 1.0 | mombasa | coast | 212.5 | 939,370 | mombasa (city) row 2 : 2.0 | kwale | coast | 8,270.3 | 649,931 | kwale row 3 : 3.0 | kilifi | coast | 12,245.9 | 1,109,735 | kilifi row 4 : 4.0 | tana river | coast | 35,375.8 | 240,075 | hola row 5 : 5.0 | lamu | coast | 6,497.7 | 101,539 | lamu row 6 : 6.0 | taita-taveta | coast | 17,083.9 | 284,657 | voi row 7 : nan | totals | nan | 79,686.1 | 3,325,307 | -
|
table_csv/204_778.csv
| 1 |
{
"column_index": [
4
],
"row_index": [
6
]
}
|
[
"what are the populations?",
"what is the total of these populations?"
] | 0 |
3,325,307
|
[
"Code",
"County",
"Former Province",
"Area (km2)",
"Population Census 2009",
"Capital"
] |
what is the total of these populations?
|
[
[
"1.0",
"Mombasa",
"Coast",
"212.5",
"939,370",
"Mombasa (City)"
],
[
"2.0",
"Kwale",
"Coast",
"8,270.3",
"649,931",
"Kwale"
],
[
"3.0",
"Kilifi",
"Coast",
"12,245.9",
"1,109,735",
"Kilifi"
],
[
"4.0",
"Tana River",
"Coast",
"35,375.8",
"240,075",
"Hola"
],
[
"5.0",
"Lamu",
"Coast",
"6,497.7",
"101,539",
"Lamu"
],
[
"6.0",
"Taita-Taveta",
"Coast",
"17,083.9",
"284,657",
"Voi"
],
[
"nan",
"Totals",
"nan",
"79,686.1",
"3,325,307",
"-"
]
] |
[
"3,325,307"
] |
what is the total of these populations? || what are the populations?
|
nt-13017
|
col : code | county | former province | area (km2) | population census 2009 | capital row 1 : 1.0 | mombasa | coast | 212.5 | 939,370 | mombasa (city) row 2 : 2.0 | kwale | coast | 8,270.3 | 649,931 | kwale row 3 : 3.0 | kilifi | coast | 12,245.9 | 1,109,735 | kilifi row 4 : 4.0 | tana river | coast | 35,375.8 | 240,075 | hola row 5 : 5.0 | lamu | coast | 6,497.7 | 101,539 | lamu row 6 : 6.0 | taita-taveta | coast | 17,083.9 | 284,657 | voi row 7 : nan | totals | nan | 79,686.1 | 3,325,307 | -
|
table_csv/204_778.csv
| 0 |
{
"column_index": [
4
],
"row_index": [
2
]
}
|
[
"what is the highest single county population?"
] | 1 |
1,109,735
|
[
"Code",
"County",
"Former Province",
"Area (km2)",
"Population Census 2009",
"Capital"
] |
what is the highest single county population?
|
[
[
"1.0",
"Mombasa",
"Coast",
"212.5",
"939,370",
"Mombasa (City)"
],
[
"2.0",
"Kwale",
"Coast",
"8,270.3",
"649,931",
"Kwale"
],
[
"3.0",
"Kilifi",
"Coast",
"12,245.9",
"1,109,735",
"Kilifi"
],
[
"4.0",
"Tana River",
"Coast",
"35,375.8",
"240,075",
"Hola"
],
[
"5.0",
"Lamu",
"Coast",
"6,497.7",
"101,539",
"Lamu"
],
[
"6.0",
"Taita-Taveta",
"Coast",
"17,083.9",
"284,657",
"Voi"
],
[
"nan",
"Totals",
"nan",
"79,686.1",
"3,325,307",
"-"
]
] |
[
"1,109,735"
] |
what is the highest single county population? ||
|
nt-13017
|
col : code | county | former province | area (km2) | population census 2009 | capital row 1 : 1.0 | mombasa | coast | 212.5 | 939,370 | mombasa (city) row 2 : 2.0 | kwale | coast | 8,270.3 | 649,931 | kwale row 3 : 3.0 | kilifi | coast | 12,245.9 | 1,109,735 | kilifi row 4 : 4.0 | tana river | coast | 35,375.8 | 240,075 | hola row 5 : 5.0 | lamu | coast | 6,497.7 | 101,539 | lamu row 6 : 6.0 | taita-taveta | coast | 17,083.9 | 284,657 | voi row 7 : nan | totals | nan | 79,686.1 | 3,325,307 | -
|
table_csv/204_778.csv
| 1 |
{
"column_index": [
4
],
"row_index": [
6
]
}
|
[
"what is the highest single county population?",
"what is the last value of the population column?"
] | 1 |
3,325,307
|
[
"Code",
"County",
"Former Province",
"Area (km2)",
"Population Census 2009",
"Capital"
] |
what is the last value of the population column?
|
[
[
"1.0",
"Mombasa",
"Coast",
"212.5",
"939,370",
"Mombasa (City)"
],
[
"2.0",
"Kwale",
"Coast",
"8,270.3",
"649,931",
"Kwale"
],
[
"3.0",
"Kilifi",
"Coast",
"12,245.9",
"1,109,735",
"Kilifi"
],
[
"4.0",
"Tana River",
"Coast",
"35,375.8",
"240,075",
"Hola"
],
[
"5.0",
"Lamu",
"Coast",
"6,497.7",
"101,539",
"Lamu"
],
[
"6.0",
"Taita-Taveta",
"Coast",
"17,083.9",
"284,657",
"Voi"
],
[
"nan",
"Totals",
"nan",
"79,686.1",
"3,325,307",
"-"
]
] |
[
"3,325,307"
] |
what is the last value of the population column? || what is the highest single county population?
|
nt-13017
|
col : code | county | former province | area (km2) | population census 2009 | capital row 1 : 1.0 | mombasa | coast | 212.5 | 939,370 | mombasa (city) row 2 : 2.0 | kwale | coast | 8,270.3 | 649,931 | kwale row 3 : 3.0 | kilifi | coast | 12,245.9 | 1,109,735 | kilifi row 4 : 4.0 | tana river | coast | 35,375.8 | 240,075 | hola row 5 : 5.0 | lamu | coast | 6,497.7 | 101,539 | lamu row 6 : 6.0 | taita-taveta | coast | 17,083.9 | 284,657 | voi row 7 : nan | totals | nan | 79,686.1 | 3,325,307 | -
|
table_csv/204_778.csv
| 0 |
{
"column_index": [
4,
4,
4,
4,
4,
4,
4
],
"row_index": [
0,
1,
2,
3,
4,
5,
6
]
}
|
[
"what are all the populations?"
] | 2 |
939,370, 649,931, 1,109,735, 240,075, 101,539, 284,657, 3,325,307
|
[
"Code",
"County",
"Former Province",
"Area (km2)",
"Population Census 2009",
"Capital"
] |
what are all the populations?
|
[
[
"1.0",
"Mombasa",
"Coast",
"212.5",
"939,370",
"Mombasa (City)"
],
[
"2.0",
"Kwale",
"Coast",
"8,270.3",
"649,931",
"Kwale"
],
[
"3.0",
"Kilifi",
"Coast",
"12,245.9",
"1,109,735",
"Kilifi"
],
[
"4.0",
"Tana River",
"Coast",
"35,375.8",
"240,075",
"Hola"
],
[
"5.0",
"Lamu",
"Coast",
"6,497.7",
"101,539",
"Lamu"
],
[
"6.0",
"Taita-Taveta",
"Coast",
"17,083.9",
"284,657",
"Voi"
],
[
"nan",
"Totals",
"nan",
"79,686.1",
"3,325,307",
"-"
]
] |
[
"939,370",
"649,931",
"1,109,735",
"240,075",
"101,539",
"284,657",
"3,325,307"
] |
what are all the populations? ||
|
nt-13017
|
col : code | county | former province | area (km2) | population census 2009 | capital row 1 : 1.0 | mombasa | coast | 212.5 | 939,370 | mombasa (city) row 2 : 2.0 | kwale | coast | 8,270.3 | 649,931 | kwale row 3 : 3.0 | kilifi | coast | 12,245.9 | 1,109,735 | kilifi row 4 : 4.0 | tana river | coast | 35,375.8 | 240,075 | hola row 5 : 5.0 | lamu | coast | 6,497.7 | 101,539 | lamu row 6 : 6.0 | taita-taveta | coast | 17,083.9 | 284,657 | voi row 7 : nan | totals | nan | 79,686.1 | 3,325,307 | -
|
table_csv/204_778.csv
| 1 |
{
"column_index": [
4
],
"row_index": [
6
]
}
|
[
"what are all the populations?",
"what is the grand total?"
] | 2 |
3,325,307
|
[
"Code",
"County",
"Former Province",
"Area (km2)",
"Population Census 2009",
"Capital"
] |
what is the grand total?
|
[
[
"1.0",
"Mombasa",
"Coast",
"212.5",
"939,370",
"Mombasa (City)"
],
[
"2.0",
"Kwale",
"Coast",
"8,270.3",
"649,931",
"Kwale"
],
[
"3.0",
"Kilifi",
"Coast",
"12,245.9",
"1,109,735",
"Kilifi"
],
[
"4.0",
"Tana River",
"Coast",
"35,375.8",
"240,075",
"Hola"
],
[
"5.0",
"Lamu",
"Coast",
"6,497.7",
"101,539",
"Lamu"
],
[
"6.0",
"Taita-Taveta",
"Coast",
"17,083.9",
"284,657",
"Voi"
],
[
"nan",
"Totals",
"nan",
"79,686.1",
"3,325,307",
"-"
]
] |
[
"3,325,307"
] |
what is the grand total? || what are all the populations?
|
nt-9386
|
col : # | date | venue | opponent | score | result | competition row 1 : 1 | 8 february 2011 | stade georges pompidou, valence, france | mali | 1-0 | 1-0 | friendly row 2 : 2 | 11 may 2011 | stade felix houphouet-boigny, | namibia | 4-1 | 5-1 | friendly row 3 : 3 | 5 june 2011 | stade de l'amitie, cotonou | benin | 0-1 | 2-6 | 2012 africa cup of nations qualification - group h row 4 : 4 | 10 august 2011 | stade de geneve, geneve, switzerland | israel | 1-0 | 4-3 | friendly row 5 : 5 | 3 september 2011 | stade amahoro, kigali, rwanda | rwanda | 0-4 | 0-5 | 2012 africa cup of nations qualification - group h row 6 : 6 | 14 november 2012 | linzer stadion, linz, austria | austria | 0-1 | 0-3 | friendly row 7 : 7 | 14 january 2013 | al nahyan stadium, abu dhabi, united arab emirates | egypt | 4-2 | 4-2 | friendly row 8 : 8 | 26 january 2013 | royal bafokeng stadium, rustenburg, south africa | tunisia | 3-0 | 3-0 | 2013 africa cup of nations
|
table_csv/203_504.csv
| 0 |
{
"column_index": [
3,
3,
3,
3,
3
],
"row_index": [
0,
1,
3,
5,
6
]
}
|
[
"which opponents where the competition friendly?"
] | 0 |
mali, namibia, israel, austria, egypt
|
[
"#",
"Date",
"Venue",
"Opponent",
"Score",
"Result",
"Competition"
] |
which opponents where the competition friendly?
|
[
[
"1",
"8 February 2011",
"Stade Georges Pompidou, Valence, France",
"Mali",
"1-0",
"1-0",
"Friendly"
],
[
"2",
"11 May 2011",
"Stade Felix Houphouet-Boigny,",
"Namibia",
"4-1",
"5-1",
"Friendly"
],
[
"3",
"5 June 2011",
"Stade de l'Amitie, Cotonou",
"Benin",
"0-1",
"2-6",
"2012 Africa Cup of Nations qualification - Group H"
],
[
"4",
"10 August 2011",
"Stade de Geneve, Geneve, Switzerland",
"Israel",
"1-0",
"4-3",
"Friendly"
],
[
"5",
"3 September 2011",
"Stade Amahoro, Kigali, Rwanda",
"Rwanda",
"0-4",
"0-5",
"2012 Africa Cup of Nations qualification - Group H"
],
[
"6",
"14 November 2012",
"Linzer Stadion, Linz, Austria",
"Austria",
"0-1",
"0-3",
"Friendly"
],
[
"7",
"14 January 2013",
"Al Nahyan Stadium, Abu Dhabi, United Arab Emirates",
"Egypt",
"4-2",
"4-2",
"Friendly"
],
[
"8",
"26 January 2013",
"Royal Bafokeng Stadium, Rustenburg, South Africa",
"Tunisia",
"3-0",
"3-0",
"2013 Africa Cup of Nations"
]
] |
[
"Mali",
"Namibia",
"Israel",
"Austria",
"Egypt"
] |
which opponents where the competition friendly? ||
|
nt-9386
|
col : # | date | venue | opponent | score | result | competition row 1 : 1 | 8 february 2011 | stade georges pompidou, valence, france | mali | 1-0 | 1-0 | friendly row 2 : 2 | 11 may 2011 | stade felix houphouet-boigny, | namibia | 4-1 | 5-1 | friendly row 3 : 3 | 5 june 2011 | stade de l'amitie, cotonou | benin | 0-1 | 2-6 | 2012 africa cup of nations qualification - group h row 4 : 4 | 10 august 2011 | stade de geneve, geneve, switzerland | israel | 1-0 | 4-3 | friendly row 5 : 5 | 3 september 2011 | stade amahoro, kigali, rwanda | rwanda | 0-4 | 0-5 | 2012 africa cup of nations qualification - group h row 6 : 6 | 14 november 2012 | linzer stadion, linz, austria | austria | 0-1 | 0-3 | friendly row 7 : 7 | 14 january 2013 | al nahyan stadium, abu dhabi, united arab emirates | egypt | 4-2 | 4-2 | friendly row 8 : 8 | 26 january 2013 | royal bafokeng stadium, rustenburg, south africa | tunisia | 3-0 | 3-0 | 2013 africa cup of nations
|
table_csv/203_504.csv
| 1 |
{
"column_index": [
3,
3
],
"row_index": [
1,
6
]
}
|
[
"which opponents where the competition friendly?",
"against which of those opponents did both sides score?"
] | 0 |
namibia, egypt
|
[
"#",
"Date",
"Venue",
"Opponent",
"Score",
"Result",
"Competition"
] |
against which of those opponents did both sides score?
|
[
[
"1",
"8 February 2011",
"Stade Georges Pompidou, Valence, France",
"Mali",
"1-0",
"1-0",
"Friendly"
],
[
"2",
"11 May 2011",
"Stade Felix Houphouet-Boigny,",
"Namibia",
"4-1",
"5-1",
"Friendly"
],
[
"3",
"5 June 2011",
"Stade de l'Amitie, Cotonou",
"Benin",
"0-1",
"2-6",
"2012 Africa Cup of Nations qualification - Group H"
],
[
"4",
"10 August 2011",
"Stade de Geneve, Geneve, Switzerland",
"Israel",
"1-0",
"4-3",
"Friendly"
],
[
"5",
"3 September 2011",
"Stade Amahoro, Kigali, Rwanda",
"Rwanda",
"0-4",
"0-5",
"2012 Africa Cup of Nations qualification - Group H"
],
[
"6",
"14 November 2012",
"Linzer Stadion, Linz, Austria",
"Austria",
"0-1",
"0-3",
"Friendly"
],
[
"7",
"14 January 2013",
"Al Nahyan Stadium, Abu Dhabi, United Arab Emirates",
"Egypt",
"4-2",
"4-2",
"Friendly"
],
[
"8",
"26 January 2013",
"Royal Bafokeng Stadium, Rustenburg, South Africa",
"Tunisia",
"3-0",
"3-0",
"2013 Africa Cup of Nations"
]
] |
[
"Namibia",
"Egypt"
] |
against which of those opponents did both sides score? || which opponents where the competition friendly?
|
nt-9386
|
col : # | date | venue | opponent | score | result | competition row 1 : 1 | 8 february 2011 | stade georges pompidou, valence, france | mali | 1-0 | 1-0 | friendly row 2 : 2 | 11 may 2011 | stade felix houphouet-boigny, | namibia | 4-1 | 5-1 | friendly row 3 : 3 | 5 june 2011 | stade de l'amitie, cotonou | benin | 0-1 | 2-6 | 2012 africa cup of nations qualification - group h row 4 : 4 | 10 august 2011 | stade de geneve, geneve, switzerland | israel | 1-0 | 4-3 | friendly row 5 : 5 | 3 september 2011 | stade amahoro, kigali, rwanda | rwanda | 0-4 | 0-5 | 2012 africa cup of nations qualification - group h row 6 : 6 | 14 november 2012 | linzer stadion, linz, austria | austria | 0-1 | 0-3 | friendly row 7 : 7 | 14 january 2013 | al nahyan stadium, abu dhabi, united arab emirates | egypt | 4-2 | 4-2 | friendly row 8 : 8 | 26 january 2013 | royal bafokeng stadium, rustenburg, south africa | tunisia | 3-0 | 3-0 | 2013 africa cup of nations
|
table_csv/203_504.csv
| 2 |
{
"column_index": [
3
],
"row_index": [
6
]
}
|
[
"which opponents where the competition friendly?",
"against which of those opponents did both sides score?",
"which which opponent of these was the most recent?"
] | 0 |
egypt
|
[
"#",
"Date",
"Venue",
"Opponent",
"Score",
"Result",
"Competition"
] |
which which opponent of these was the most recent?
|
[
[
"1",
"8 February 2011",
"Stade Georges Pompidou, Valence, France",
"Mali",
"1-0",
"1-0",
"Friendly"
],
[
"2",
"11 May 2011",
"Stade Felix Houphouet-Boigny,",
"Namibia",
"4-1",
"5-1",
"Friendly"
],
[
"3",
"5 June 2011",
"Stade de l'Amitie, Cotonou",
"Benin",
"0-1",
"2-6",
"2012 Africa Cup of Nations qualification - Group H"
],
[
"4",
"10 August 2011",
"Stade de Geneve, Geneve, Switzerland",
"Israel",
"1-0",
"4-3",
"Friendly"
],
[
"5",
"3 September 2011",
"Stade Amahoro, Kigali, Rwanda",
"Rwanda",
"0-4",
"0-5",
"2012 Africa Cup of Nations qualification - Group H"
],
[
"6",
"14 November 2012",
"Linzer Stadion, Linz, Austria",
"Austria",
"0-1",
"0-3",
"Friendly"
],
[
"7",
"14 January 2013",
"Al Nahyan Stadium, Abu Dhabi, United Arab Emirates",
"Egypt",
"4-2",
"4-2",
"Friendly"
],
[
"8",
"26 January 2013",
"Royal Bafokeng Stadium, Rustenburg, South Africa",
"Tunisia",
"3-0",
"3-0",
"2013 Africa Cup of Nations"
]
] |
[
"Egypt"
] |
which which opponent of these was the most recent? || against which of those opponents did both sides score? | which opponents where the competition friendly?
|
nt-9386
|
col : # | date | venue | opponent | score | result | competition row 1 : 1 | 8 february 2011 | stade georges pompidou, valence, france | mali | 1-0 | 1-0 | friendly row 2 : 2 | 11 may 2011 | stade felix houphouet-boigny, | namibia | 4-1 | 5-1 | friendly row 3 : 3 | 5 june 2011 | stade de l'amitie, cotonou | benin | 0-1 | 2-6 | 2012 africa cup of nations qualification - group h row 4 : 4 | 10 august 2011 | stade de geneve, geneve, switzerland | israel | 1-0 | 4-3 | friendly row 5 : 5 | 3 september 2011 | stade amahoro, kigali, rwanda | rwanda | 0-4 | 0-5 | 2012 africa cup of nations qualification - group h row 6 : 6 | 14 november 2012 | linzer stadion, linz, austria | austria | 0-1 | 0-3 | friendly row 7 : 7 | 14 january 2013 | al nahyan stadium, abu dhabi, united arab emirates | egypt | 4-2 | 4-2 | friendly row 8 : 8 | 26 january 2013 | royal bafokeng stadium, rustenburg, south africa | tunisia | 3-0 | 3-0 | 2013 africa cup of nations
|
table_csv/203_504.csv
| 0 |
{
"column_index": [
3,
3,
3,
3,
3,
3,
3,
3
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
}
|
[
"what are the names of all the opponents?"
] | 1 |
mali, namibia, benin, israel, rwanda, austria, egypt, tunisia
|
[
"#",
"Date",
"Venue",
"Opponent",
"Score",
"Result",
"Competition"
] |
what are the names of all the opponents?
|
[
[
"1",
"8 February 2011",
"Stade Georges Pompidou, Valence, France",
"Mali",
"1-0",
"1-0",
"Friendly"
],
[
"2",
"11 May 2011",
"Stade Felix Houphouet-Boigny,",
"Namibia",
"4-1",
"5-1",
"Friendly"
],
[
"3",
"5 June 2011",
"Stade de l'Amitie, Cotonou",
"Benin",
"0-1",
"2-6",
"2012 Africa Cup of Nations qualification - Group H"
],
[
"4",
"10 August 2011",
"Stade de Geneve, Geneve, Switzerland",
"Israel",
"1-0",
"4-3",
"Friendly"
],
[
"5",
"3 September 2011",
"Stade Amahoro, Kigali, Rwanda",
"Rwanda",
"0-4",
"0-5",
"2012 Africa Cup of Nations qualification - Group H"
],
[
"6",
"14 November 2012",
"Linzer Stadion, Linz, Austria",
"Austria",
"0-1",
"0-3",
"Friendly"
],
[
"7",
"14 January 2013",
"Al Nahyan Stadium, Abu Dhabi, United Arab Emirates",
"Egypt",
"4-2",
"4-2",
"Friendly"
],
[
"8",
"26 January 2013",
"Royal Bafokeng Stadium, Rustenburg, South Africa",
"Tunisia",
"3-0",
"3-0",
"2013 Africa Cup of Nations"
]
] |
[
"Mali",
"Namibia",
"Benin",
"Israel",
"Rwanda",
"Austria",
"Egypt",
"Tunisia"
] |
what are the names of all the opponents? ||
|
nt-9386
|
col : # | date | venue | opponent | score | result | competition row 1 : 1 | 8 february 2011 | stade georges pompidou, valence, france | mali | 1-0 | 1-0 | friendly row 2 : 2 | 11 may 2011 | stade felix houphouet-boigny, | namibia | 4-1 | 5-1 | friendly row 3 : 3 | 5 june 2011 | stade de l'amitie, cotonou | benin | 0-1 | 2-6 | 2012 africa cup of nations qualification - group h row 4 : 4 | 10 august 2011 | stade de geneve, geneve, switzerland | israel | 1-0 | 4-3 | friendly row 5 : 5 | 3 september 2011 | stade amahoro, kigali, rwanda | rwanda | 0-4 | 0-5 | 2012 africa cup of nations qualification - group h row 6 : 6 | 14 november 2012 | linzer stadion, linz, austria | austria | 0-1 | 0-3 | friendly row 7 : 7 | 14 january 2013 | al nahyan stadium, abu dhabi, united arab emirates | egypt | 4-2 | 4-2 | friendly row 8 : 8 | 26 january 2013 | royal bafokeng stadium, rustenburg, south africa | tunisia | 3-0 | 3-0 | 2013 africa cup of nations
|
table_csv/203_504.csv
| 1 |
{
"column_index": [
3,
3,
3,
3,
3
],
"row_index": [
0,
1,
3,
6,
7
]
}
|
[
"what are the names of all the opponents?",
"of these teams, which lost their matches?"
] | 1 |
mali, namibia, israel, egypt, tunisia
|
[
"#",
"Date",
"Venue",
"Opponent",
"Score",
"Result",
"Competition"
] |
of these teams, which lost their matches?
|
[
[
"1",
"8 February 2011",
"Stade Georges Pompidou, Valence, France",
"Mali",
"1-0",
"1-0",
"Friendly"
],
[
"2",
"11 May 2011",
"Stade Felix Houphouet-Boigny,",
"Namibia",
"4-1",
"5-1",
"Friendly"
],
[
"3",
"5 June 2011",
"Stade de l'Amitie, Cotonou",
"Benin",
"0-1",
"2-6",
"2012 Africa Cup of Nations qualification - Group H"
],
[
"4",
"10 August 2011",
"Stade de Geneve, Geneve, Switzerland",
"Israel",
"1-0",
"4-3",
"Friendly"
],
[
"5",
"3 September 2011",
"Stade Amahoro, Kigali, Rwanda",
"Rwanda",
"0-4",
"0-5",
"2012 Africa Cup of Nations qualification - Group H"
],
[
"6",
"14 November 2012",
"Linzer Stadion, Linz, Austria",
"Austria",
"0-1",
"0-3",
"Friendly"
],
[
"7",
"14 January 2013",
"Al Nahyan Stadium, Abu Dhabi, United Arab Emirates",
"Egypt",
"4-2",
"4-2",
"Friendly"
],
[
"8",
"26 January 2013",
"Royal Bafokeng Stadium, Rustenburg, South Africa",
"Tunisia",
"3-0",
"3-0",
"2013 Africa Cup of Nations"
]
] |
[
"Mali",
"Namibia",
"Israel",
"Egypt",
"Tunisia"
] |
of these teams, which lost their matches? || what are the names of all the opponents?
|
nt-9386
|
col : # | date | venue | opponent | score | result | competition row 1 : 1 | 8 february 2011 | stade georges pompidou, valence, france | mali | 1-0 | 1-0 | friendly row 2 : 2 | 11 may 2011 | stade felix houphouet-boigny, | namibia | 4-1 | 5-1 | friendly row 3 : 3 | 5 june 2011 | stade de l'amitie, cotonou | benin | 0-1 | 2-6 | 2012 africa cup of nations qualification - group h row 4 : 4 | 10 august 2011 | stade de geneve, geneve, switzerland | israel | 1-0 | 4-3 | friendly row 5 : 5 | 3 september 2011 | stade amahoro, kigali, rwanda | rwanda | 0-4 | 0-5 | 2012 africa cup of nations qualification - group h row 6 : 6 | 14 november 2012 | linzer stadion, linz, austria | austria | 0-1 | 0-3 | friendly row 7 : 7 | 14 january 2013 | al nahyan stadium, abu dhabi, united arab emirates | egypt | 4-2 | 4-2 | friendly row 8 : 8 | 26 january 2013 | royal bafokeng stadium, rustenburg, south africa | tunisia | 3-0 | 3-0 | 2013 africa cup of nations
|
table_csv/203_504.csv
| 2 |
{
"column_index": [
3,
3
],
"row_index": [
1,
6
]
}
|
[
"what are the names of all the opponents?",
"of these teams, which lost their matches?",
"of the losers, which teams scored at least 1 goal?"
] | 1 |
namibia, egypt
|
[
"#",
"Date",
"Venue",
"Opponent",
"Score",
"Result",
"Competition"
] |
of the losers, which teams scored at least 1 goal?
|
[
[
"1",
"8 February 2011",
"Stade Georges Pompidou, Valence, France",
"Mali",
"1-0",
"1-0",
"Friendly"
],
[
"2",
"11 May 2011",
"Stade Felix Houphouet-Boigny,",
"Namibia",
"4-1",
"5-1",
"Friendly"
],
[
"3",
"5 June 2011",
"Stade de l'Amitie, Cotonou",
"Benin",
"0-1",
"2-6",
"2012 Africa Cup of Nations qualification - Group H"
],
[
"4",
"10 August 2011",
"Stade de Geneve, Geneve, Switzerland",
"Israel",
"1-0",
"4-3",
"Friendly"
],
[
"5",
"3 September 2011",
"Stade Amahoro, Kigali, Rwanda",
"Rwanda",
"0-4",
"0-5",
"2012 Africa Cup of Nations qualification - Group H"
],
[
"6",
"14 November 2012",
"Linzer Stadion, Linz, Austria",
"Austria",
"0-1",
"0-3",
"Friendly"
],
[
"7",
"14 January 2013",
"Al Nahyan Stadium, Abu Dhabi, United Arab Emirates",
"Egypt",
"4-2",
"4-2",
"Friendly"
],
[
"8",
"26 January 2013",
"Royal Bafokeng Stadium, Rustenburg, South Africa",
"Tunisia",
"3-0",
"3-0",
"2013 Africa Cup of Nations"
]
] |
[
"Namibia",
"Egypt"
] |
of the losers, which teams scored at least 1 goal? || of these teams, which lost their matches? | what are the names of all the opponents?
|
nt-9386
|
col : # | date | venue | opponent | score | result | competition row 1 : 1 | 8 february 2011 | stade georges pompidou, valence, france | mali | 1-0 | 1-0 | friendly row 2 : 2 | 11 may 2011 | stade felix houphouet-boigny, | namibia | 4-1 | 5-1 | friendly row 3 : 3 | 5 june 2011 | stade de l'amitie, cotonou | benin | 0-1 | 2-6 | 2012 africa cup of nations qualification - group h row 4 : 4 | 10 august 2011 | stade de geneve, geneve, switzerland | israel | 1-0 | 4-3 | friendly row 5 : 5 | 3 september 2011 | stade amahoro, kigali, rwanda | rwanda | 0-4 | 0-5 | 2012 africa cup of nations qualification - group h row 6 : 6 | 14 november 2012 | linzer stadion, linz, austria | austria | 0-1 | 0-3 | friendly row 7 : 7 | 14 january 2013 | al nahyan stadium, abu dhabi, united arab emirates | egypt | 4-2 | 4-2 | friendly row 8 : 8 | 26 january 2013 | royal bafokeng stadium, rustenburg, south africa | tunisia | 3-0 | 3-0 | 2013 africa cup of nations
|
table_csv/203_504.csv
| 3 |
{
"column_index": [
3
],
"row_index": [
6
]
}
|
[
"what are the names of all the opponents?",
"of these teams, which lost their matches?",
"of the losers, which teams scored at least 1 goal?",
"which losing team scored at least 2 goals?"
] | 1 |
egypt
|
[
"#",
"Date",
"Venue",
"Opponent",
"Score",
"Result",
"Competition"
] |
which losing team scored at least 2 goals?
|
[
[
"1",
"8 February 2011",
"Stade Georges Pompidou, Valence, France",
"Mali",
"1-0",
"1-0",
"Friendly"
],
[
"2",
"11 May 2011",
"Stade Felix Houphouet-Boigny,",
"Namibia",
"4-1",
"5-1",
"Friendly"
],
[
"3",
"5 June 2011",
"Stade de l'Amitie, Cotonou",
"Benin",
"0-1",
"2-6",
"2012 Africa Cup of Nations qualification - Group H"
],
[
"4",
"10 August 2011",
"Stade de Geneve, Geneve, Switzerland",
"Israel",
"1-0",
"4-3",
"Friendly"
],
[
"5",
"3 September 2011",
"Stade Amahoro, Kigali, Rwanda",
"Rwanda",
"0-4",
"0-5",
"2012 Africa Cup of Nations qualification - Group H"
],
[
"6",
"14 November 2012",
"Linzer Stadion, Linz, Austria",
"Austria",
"0-1",
"0-3",
"Friendly"
],
[
"7",
"14 January 2013",
"Al Nahyan Stadium, Abu Dhabi, United Arab Emirates",
"Egypt",
"4-2",
"4-2",
"Friendly"
],
[
"8",
"26 January 2013",
"Royal Bafokeng Stadium, Rustenburg, South Africa",
"Tunisia",
"3-0",
"3-0",
"2013 Africa Cup of Nations"
]
] |
[
"Egypt"
] |
which losing team scored at least 2 goals? || of the losers, which teams scored at least 1 goal? | of these teams, which lost their matches? | what are the names of all the opponents?
|
nt-9386
|
col : # | date | venue | opponent | score | result | competition row 1 : 1 | 8 february 2011 | stade georges pompidou, valence, france | mali | 1-0 | 1-0 | friendly row 2 : 2 | 11 may 2011 | stade felix houphouet-boigny, | namibia | 4-1 | 5-1 | friendly row 3 : 3 | 5 june 2011 | stade de l'amitie, cotonou | benin | 0-1 | 2-6 | 2012 africa cup of nations qualification - group h row 4 : 4 | 10 august 2011 | stade de geneve, geneve, switzerland | israel | 1-0 | 4-3 | friendly row 5 : 5 | 3 september 2011 | stade amahoro, kigali, rwanda | rwanda | 0-4 | 0-5 | 2012 africa cup of nations qualification - group h row 6 : 6 | 14 november 2012 | linzer stadion, linz, austria | austria | 0-1 | 0-3 | friendly row 7 : 7 | 14 january 2013 | al nahyan stadium, abu dhabi, united arab emirates | egypt | 4-2 | 4-2 | friendly row 8 : 8 | 26 january 2013 | royal bafokeng stadium, rustenburg, south africa | tunisia | 3-0 | 3-0 | 2013 africa cup of nations
|
table_csv/203_504.csv
| 0 |
{
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
}
|
[
"what dates were the games?"
] | 2 |
8 february 2011, 11 may 2011, 5 june 2011, 10 august 2011, 3 september 2011, 14 november 2012, 14 january 2013, 26 january 2013
|
[
"#",
"Date",
"Venue",
"Opponent",
"Score",
"Result",
"Competition"
] |
what dates were the games?
|
[
[
"1",
"8 February 2011",
"Stade Georges Pompidou, Valence, France",
"Mali",
"1-0",
"1-0",
"Friendly"
],
[
"2",
"11 May 2011",
"Stade Felix Houphouet-Boigny,",
"Namibia",
"4-1",
"5-1",
"Friendly"
],
[
"3",
"5 June 2011",
"Stade de l'Amitie, Cotonou",
"Benin",
"0-1",
"2-6",
"2012 Africa Cup of Nations qualification - Group H"
],
[
"4",
"10 August 2011",
"Stade de Geneve, Geneve, Switzerland",
"Israel",
"1-0",
"4-3",
"Friendly"
],
[
"5",
"3 September 2011",
"Stade Amahoro, Kigali, Rwanda",
"Rwanda",
"0-4",
"0-5",
"2012 Africa Cup of Nations qualification - Group H"
],
[
"6",
"14 November 2012",
"Linzer Stadion, Linz, Austria",
"Austria",
"0-1",
"0-3",
"Friendly"
],
[
"7",
"14 January 2013",
"Al Nahyan Stadium, Abu Dhabi, United Arab Emirates",
"Egypt",
"4-2",
"4-2",
"Friendly"
],
[
"8",
"26 January 2013",
"Royal Bafokeng Stadium, Rustenburg, South Africa",
"Tunisia",
"3-0",
"3-0",
"2013 Africa Cup of Nations"
]
] |
[
"8 February 2011",
"11 May 2011",
"5 June 2011",
"10 August 2011",
"3 September 2011",
"14 November 2012",
"14 January 2013",
"26 January 2013"
] |
what dates were the games? ||
|
nt-9386
|
col : # | date | venue | opponent | score | result | competition row 1 : 1 | 8 february 2011 | stade georges pompidou, valence, france | mali | 1-0 | 1-0 | friendly row 2 : 2 | 11 may 2011 | stade felix houphouet-boigny, | namibia | 4-1 | 5-1 | friendly row 3 : 3 | 5 june 2011 | stade de l'amitie, cotonou | benin | 0-1 | 2-6 | 2012 africa cup of nations qualification - group h row 4 : 4 | 10 august 2011 | stade de geneve, geneve, switzerland | israel | 1-0 | 4-3 | friendly row 5 : 5 | 3 september 2011 | stade amahoro, kigali, rwanda | rwanda | 0-4 | 0-5 | 2012 africa cup of nations qualification - group h row 6 : 6 | 14 november 2012 | linzer stadion, linz, austria | austria | 0-1 | 0-3 | friendly row 7 : 7 | 14 january 2013 | al nahyan stadium, abu dhabi, united arab emirates | egypt | 4-2 | 4-2 | friendly row 8 : 8 | 26 january 2013 | royal bafokeng stadium, rustenburg, south africa | tunisia | 3-0 | 3-0 | 2013 africa cup of nations
|
table_csv/203_504.csv
| 1 |
{
"column_index": [
1,
1
],
"row_index": [
6,
7
]
}
|
[
"what dates were the games?",
"which were the january dates?"
] | 2 |
14 january 2013, 26 january 2013
|
[
"#",
"Date",
"Venue",
"Opponent",
"Score",
"Result",
"Competition"
] |
which were the january dates?
|
[
[
"1",
"8 February 2011",
"Stade Georges Pompidou, Valence, France",
"Mali",
"1-0",
"1-0",
"Friendly"
],
[
"2",
"11 May 2011",
"Stade Felix Houphouet-Boigny,",
"Namibia",
"4-1",
"5-1",
"Friendly"
],
[
"3",
"5 June 2011",
"Stade de l'Amitie, Cotonou",
"Benin",
"0-1",
"2-6",
"2012 Africa Cup of Nations qualification - Group H"
],
[
"4",
"10 August 2011",
"Stade de Geneve, Geneve, Switzerland",
"Israel",
"1-0",
"4-3",
"Friendly"
],
[
"5",
"3 September 2011",
"Stade Amahoro, Kigali, Rwanda",
"Rwanda",
"0-4",
"0-5",
"2012 Africa Cup of Nations qualification - Group H"
],
[
"6",
"14 November 2012",
"Linzer Stadion, Linz, Austria",
"Austria",
"0-1",
"0-3",
"Friendly"
],
[
"7",
"14 January 2013",
"Al Nahyan Stadium, Abu Dhabi, United Arab Emirates",
"Egypt",
"4-2",
"4-2",
"Friendly"
],
[
"8",
"26 January 2013",
"Royal Bafokeng Stadium, Rustenburg, South Africa",
"Tunisia",
"3-0",
"3-0",
"2013 Africa Cup of Nations"
]
] |
[
"14 January 2013",
"26 January 2013"
] |
which were the january dates? || what dates were the games?
|
nt-9386
|
col : # | date | venue | opponent | score | result | competition row 1 : 1 | 8 february 2011 | stade georges pompidou, valence, france | mali | 1-0 | 1-0 | friendly row 2 : 2 | 11 may 2011 | stade felix houphouet-boigny, | namibia | 4-1 | 5-1 | friendly row 3 : 3 | 5 june 2011 | stade de l'amitie, cotonou | benin | 0-1 | 2-6 | 2012 africa cup of nations qualification - group h row 4 : 4 | 10 august 2011 | stade de geneve, geneve, switzerland | israel | 1-0 | 4-3 | friendly row 5 : 5 | 3 september 2011 | stade amahoro, kigali, rwanda | rwanda | 0-4 | 0-5 | 2012 africa cup of nations qualification - group h row 6 : 6 | 14 november 2012 | linzer stadion, linz, austria | austria | 0-1 | 0-3 | friendly row 7 : 7 | 14 january 2013 | al nahyan stadium, abu dhabi, united arab emirates | egypt | 4-2 | 4-2 | friendly row 8 : 8 | 26 january 2013 | royal bafokeng stadium, rustenburg, south africa | tunisia | 3-0 | 3-0 | 2013 africa cup of nations
|
table_csv/203_504.csv
| 2 |
{
"column_index": [
4,
4
],
"row_index": [
6,
7
]
}
|
[
"what dates were the games?",
"which were the january dates?",
"what were the scores of these two games?"
] | 2 |
4-2, 3-0
|
[
"#",
"Date",
"Venue",
"Opponent",
"Score",
"Result",
"Competition"
] |
what were the scores of these two games?
|
[
[
"1",
"8 February 2011",
"Stade Georges Pompidou, Valence, France",
"Mali",
"1-0",
"1-0",
"Friendly"
],
[
"2",
"11 May 2011",
"Stade Felix Houphouet-Boigny,",
"Namibia",
"4-1",
"5-1",
"Friendly"
],
[
"3",
"5 June 2011",
"Stade de l'Amitie, Cotonou",
"Benin",
"0-1",
"2-6",
"2012 Africa Cup of Nations qualification - Group H"
],
[
"4",
"10 August 2011",
"Stade de Geneve, Geneve, Switzerland",
"Israel",
"1-0",
"4-3",
"Friendly"
],
[
"5",
"3 September 2011",
"Stade Amahoro, Kigali, Rwanda",
"Rwanda",
"0-4",
"0-5",
"2012 Africa Cup of Nations qualification - Group H"
],
[
"6",
"14 November 2012",
"Linzer Stadion, Linz, Austria",
"Austria",
"0-1",
"0-3",
"Friendly"
],
[
"7",
"14 January 2013",
"Al Nahyan Stadium, Abu Dhabi, United Arab Emirates",
"Egypt",
"4-2",
"4-2",
"Friendly"
],
[
"8",
"26 January 2013",
"Royal Bafokeng Stadium, Rustenburg, South Africa",
"Tunisia",
"3-0",
"3-0",
"2013 Africa Cup of Nations"
]
] |
[
"4-2",
"3-0"
] |
what were the scores of these two games? || which were the january dates? | what dates were the games?
|
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